diff --git a/consumption_distribution.csv b/consumption_distribution.csv
index 5ec3a7c..a283034 100644
--- a/consumption_distribution.csv
+++ b/consumption_distribution.csv
@@ -1,11 +1,11 @@
 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,categories
-3.9831134220168636,5.06535693898893,9.412513264548464,16.47669445152705,14.597838377392605,10.783063027724065,8.839317180273994,7.246249535139835,5.8380845302932665,0.8847316368904793,10.558386678115566,0.44427993082554235,3.7403527519670887,0.797822739409194,0.4309127615318391,0.9080663936568211,Airlines
-4.269706274741251,5.51584019034016,9.925027098030341,17.24910707364407,15.888040810835838,11.597888776410938,8.590887523370377,7.160906175197589,5.825350802619889,4.207369464615332,2.825037836786188,3.4382567596816647,1.5043639705111975,0.9993647865996371,0.5543839427954547,0.42297865759171077,Bars/Discotheques
-4.6576587158892115,5.807818393798755,10.218495929523346,17.674036288476692,14.975431722296308,12.035208306568082,8.244494010171506,6.8856251154757615,5.795880276496676,5.272084848694022,0.22100688090336104,5.6014260677600305,0.5385279415745637,1.1204021150226238,0.6161864025084424,0.3266780292986436,Computer Network/Information Services
-3.868910526597812,4.964923989135904,9.287599672717272,16.246500482110903,14.083572663431884,10.511919951099278,8.924763378029258,7.287604736427168,5.85455662538091,0.0806726290741993,12.530185535397143,-0.1005902190915681,4.333120091520807,0.7607112607593921,0.4040842874523356,0.9922223266493075,Drug Stores/Pharmacies
-3.710988017220926,4.8954977568688784,9.255832460959343,16.23127099747642,14.458123509911672,10.482236347087795,8.893099426408055,7.209016831223323,5.771362634058494,-0.07031876131520942,12.88770131544909,-0.08351529778370403,4.293018885153057,0.7340303276596061,0.39595791080833265,0.974778037486566,General Retail Stores
-4.041791130614517,5.363216544428241,9.659596089925127,16.84932012720208,15.300577517432082,11.181759623457873,8.779841546983189,7.2596021356316776,5.825838817803204,2.590873282049732,7.025758974911309,1.3856593738128338,2.67898917069746,0.8916137911350646,0.49234132790982765,0.6579676081017725,Grocery Stores/Supermarkets
-4.11517400847324,5.378979996397452,9.729832790279593,16.943082788216593,15.429862724415699,11.267742311474356,8.718506744165198,7.25244112496185,5.837748421784723,2.968987668274615,5.932145378191999,2.0104969866343843,2.3764080075475964,0.924224515585339,0.510178404078296,0.5897642930716149,Hospitals
-4.5227982899972154,5.627296194410789,10.088481671119629,17.518086060822533,15.67172627772557,11.886565510005333,8.414294844499254,6.999014033181855,5.757593017266954,4.924462816946865,1.1099804201723777,4.724989197570179,0.758459085363594,1.0543691775117945,0.585157837731053,0.34479440970132724,Hotels/Motels
-4.081777443629556,5.421020222155726,9.714617326563257,16.93327276894294,15.3302614983164,11.273419109412734,8.754001008086536,7.23747397272346,5.8307354535199325,2.9646104167020213,6.122568108719801,1.8070229907660516,2.4557359179329876,0.9146719734769836,0.5049012843990994,0.6121611230626945,Restaurants
-4.214941812551088,5.459473427430981,9.854759889436918,17.138957867125974,15.729181255233387,11.47780029714453,8.633058657388395,7.185546782195898,5.8296313989687,3.7550058154974835,3.9492413438197747,2.9448213868202027,1.8135932937385926,0.9728363296577092,0.5383893712497742,0.48226511872609495,"Utilities: Electric, Gas, Water"
+9.433389334140314,12.36908029822633,22.353104747326196,38.91782843110127,35.21760485995932,26.322615606377063,19.383106520267603,16.50478922921113,13.519015244803803,8.649681328087507,11.608758746629539,6.013610985713445,3.446247754360459,5.15101403573668,0.5814607273101032,0.8071023034028059,Airlines
+9.433389885061647,12.36908112113015,22.353119666027172,38.91784540775679,35.2176121035747,26.32262972944054,19.383109328682956,16.504796132574608,13.51901260518942,8.649681023987924,11.608760659602432,6.013610011864298,3.44624677003921,5.1510129716265425,0.5814602515681575,0.8071016001317785,Bars/Discotheques
+9.433375390659142,12.369060033466484,22.35278692064533,38.91745639388866,35.21743900894578,26.32229926520171,19.38304083656734,16.50462589875503,13.519067408459282,8.649680023231358,11.608713038639396,6.013626150992968,3.4462616068400647,5.151038566831048,0.5814700642637737,0.8071170475291665,Computer Network/Information Services
+9.433389764544186,12.369080983315762,22.353118476685648,38.91784334717183,35.217610927577056,26.322627290778712,19.383108742923177,16.504794404625688,13.51901262242509,8.64968064257316,11.608760129243278,6.013609736021888,3.4462463964829397,5.151013141103253,0.5814602438340604,0.8071016640586801,Drug Stores/Pharmacies
+9.433389941087448,12.369081204683031,22.353122259631846,38.9178483302165,35.21761324483047,26.322632257302185,19.38310978331708,16.504797317265947,13.519012096645639,8.649680892244577,11.608760996120369,6.01360981431649,3.4462465634136255,5.151012811090347,0.5814601626034293,0.8071014662675328,General Retail Stores
+9.43339089189444,12.369082561302648,22.35314103177948,38.91787086796967,35.2176236875864,26.322651762942527,19.383113985890827,16.50480784618655,13.519009244945886,8.649681405753558,11.608763962717534,6.01360922588769,3.446246137210983,5.151011256692691,0.5814596555346477,0.8071006106552928,Grocery Stores/Supermarkets
+9.43339046920846,12.369081986451876,22.353133338333695,38.91786113834297,35.21761904267414,26.322642783599836,19.383112021770003,16.50480269206307,13.519010302236811,8.649680947204228,11.608762472736544,6.013609228332757,3.4462460062733298,5.151011941051896,0.5814598339639185,0.8071009734270888,Hospitals
+9.433388745202468,12.369079421036949,22.353084925077166,38.9178059473807,35.21759564260396,26.322596510834785,19.3831028955506,16.504780057717998,13.519018926021307,8.64968200391487,11.608756172302266,6.013612367047576,3.446249171706872,5.151015363368527,0.5814613803402491,0.8071032810219447,Hotels/Motels
+9.433390954190427,12.369082658915143,22.35314317136689,38.91787321967088,35.217624636446686,26.322653660959638,19.383114342218693,16.50480870490967,13.519008834892418,8.649681301384735,11.608764196807345,6.013609041820326,3.4462459393949083,5.151011118446651,0.5814595810197499,0.8071005082028687,Restaurants
+9.433390345635491,12.369081776908667,22.35312699047227,38.91785438420078,35.21761651109493,26.322637438642083,19.383111097787772,16.504800482677005,13.519011622025268,8.649681447895354,11.608761877759788,6.013609899899838,3.446246752987872,5.151012303242964,0.5814600738889594,0.8071012869859211,"Utilities: Electric, Gas, Water"
diff --git a/fractions_offline.csv b/fractions_offline.csv
index 7e4b3c2..4dd2ca6 100644
--- a/fractions_offline.csv
+++ b/fractions_offline.csv
@@ -1,17 +1,17 @@
 0
-0.09639499267221661
-0.16665576151505287
-0.5509293775800783
-1.6909251559357241
-1.3328279709246307
-0.7416231743835766
-0.4363676927094427
-0.3234834001840291
-0.2633276881700197
-0.12503585760156408
-0.09782912908619215
-0.07005194670140537
-0.04217824580741681
-0.0158993752169871
-0.0059153120403053466
-0.0023053870404303937
+0.0963778441570025
+0.1666036435002296
+0.5509122035006956
+1.6909114023360345
+1.3326717499494192
+0.7419249175390713
+0.43630923631160135
+0.3237038900061096
+0.26338517125196037
+0.1413450712679812
+0.12990120355947274
+0.08272605424028194
+0.04140223328788343
+0.0034641816329528024
+0.004320232931328887
+0.002935352851369094
diff --git a/learnConsumptionDistribution.ipynb b/learnConsumptionDistribution.ipynb
index 32f695e..da4e81e 100644
--- a/learnConsumptionDistribution.ipynb
+++ b/learnConsumptionDistribution.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 4,
    "metadata": {
     "id": "7L6EQkQ50gkR"
    },
@@ -130,7 +130,7 @@
        "4   4899.182326              150  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -142,7 +142,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -163,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -179,7 +179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -203,7 +203,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -231,7 +231,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 9,
    "metadata": {
     "id": "Oo1El4A40gkU"
    },
@@ -252,7 +252,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 10,
    "metadata": {
     "colab": {
      "background_save": true,
@@ -266,21 +266,21 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Step: 0, Loss: 85.82141824079703\n",
-      "Step: 100, Loss: 32.142649946338636\n",
-      "Step: 200, Loss: 31.41479591356331\n",
-      "Step: 300, Loss: 31.404196453643934\n",
-      "Step: 400, Loss: 31.402196832687252\n",
-      "Step: 500, Loss: 31.402123071842432\n",
-      "Step: 600, Loss: 31.402122728475618\n",
-      "Step: 700, Loss: 31.40212229653494\n",
-      "Step: 800, Loss: 31.402117143215843\n",
-      "Step: 900, Loss: 31.402044592763584\n"
+      "Step: 0, Loss: 82.73758244219454\n",
+      "Step: 100, Loss: 33.14282401738091\n",
+      "Step: 200, Loss: 31.614912419663636\n",
+      "Step: 300, Loss: 31.4559664020065\n",
+      "Step: 400, Loss: 31.509471668603613\n",
+      "Step: 500, Loss: 31.432778255532373\n",
+      "Step: 600, Loss: 31.413442868908287\n",
+      "Step: 700, Loss: 31.410549480414275\n",
+      "Step: 800, Loss: 31.542629103769094\n",
+      "Step: 900, Loss: 31.41019560018756\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -315,7 +315,7 @@
     "    K = (K + tf.transpose(K))/2\n",
     "    estimated_C = K/P\n",
     "    residuals = estimated_C - contact_others\n",
-    "    return tf.reduce_sum(tf.square(residuals)) +tf.reduce_sum(tf.square(1- tf.reduce_sum(W, axis=1))) + 2*tf.reduce_sum(tf.square(tf.minimum(W, tf.zeros_like(W)))) +  2*tf.reduce_sum(tf.square(tf.minimum(P_var, tf.zeros_like(P_var)))) + tf.reduce_sum(tf.square(tf.minimum(tf.ones_like(P_var)-P_var, tf.zeros_like(P_var))))\n",
+    "    return tf.reduce_sum(tf.square(residuals)) +tf.reduce_sum(tf.square(tf.minimum(tf.ones_like(W)-W, tf.zeros_like(W)))) + 2*tf.reduce_sum(tf.square(tf.minimum(W, tf.zeros_like(W)))) +  2*tf.reduce_sum(tf.square(tf.minimum(P_var, tf.zeros_like(P_var)))) + tf.reduce_sum(tf.square(tf.minimum(tf.ones_like(P_var)-P_var, tf.zeros_like(P_var))))\n",
     "\n",
     "\n",
     "optimizer = tf.optimizers.Adam(learning_rate=0.01)\n",
@@ -347,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -363,22 +363,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x1bd77350050>"
+       "<matplotlib.colorbar.Colorbar at 0x1f8a6303e90>"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x800 with 2 Axes>"
       ]
@@ -397,22 +397,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x1bd55d46ba0>"
+       "<matplotlib.colorbar.Colorbar at 0x1f8a637e660>"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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2CHGFv+zd3zVYFmtYEzX16ovcDiGuqobz3A4hrq/+P979hvDuW9792pac0s/tEGIKdx91O4S4Pjt02O0QTnC023sxwbu8+1MDAAAAEAtN2Z7ivRIBAAAAAN+gQgEAAABfMQIBGQGHeygcns9PuDMAAAAAbCOhAAAAAGAbS54AAADgL4Zx7HB6TsREhQIAAACAbVQoAAAA4C8BQ3K6SZrHxsZFhQIAAACAbSQUAAAAAGxjyRMAAAD8haZsT6FCAQAAAMA2KhQAAADwFXbK9hbuDAAAAADbqFAAAADAX4zAscPpORETdwYAAACAbSQUAAAAAGxjyRMAAAD8xTCc37max8bGRYUCAAAAgG1UKAAAAOArhhGQ4XCTtNPz+Ql3BgAAAIBtJBQAAAAAbGPJEwAAAPwl4EJTttPz+QgVCgAAAAC2UaEAAACAv7BTtqdwZwAAAADYRoUCAAAA/mIYzm80x8Z2cVGhAAAAAGAbCQUAAAAA21jyBAAAAH8JBI4dTs+JmLgzAAAAAGyjQgEAAAB/4bGxnsKdAQAAAGAbCQUAAAAA21jyBAAAAH8JGMcOp+dETFQoAAAAANhGhQIAAAD+YhguNGVToYiHCgUAAAAA21yrUASDhlKD3sv0gv0st0OIKxDucjuEmD77b2/GJUkDv3622yHEZRw57HYIcXVbKW6HEFe3meR2CDGZ3v3SoS+f7b2vtcf9eu0ut0OI6ztzC90OIa7tL/0ft0OIKy19gNshxGR4eFMyq/uo2yGcwPLyFzXpLxUKh7+22Zxv5cqV+vGPf6xQKKRx48bpscce06RJk2KOfeedd1RVVaXGxkbt2bNH//qv/6q5c+dGjamurtazzz6r999/X2lpaZo8ebKWLl2qCy+80FZ8vcG7/7oAAAAAH1u/fr0qKyu1ePFiNTU1ady4cSopKVFra2vM8YcPH9b555+vJUuWKCsrK+aYrVu3avbs2XrjjTe0efNmdXd368orr1RHR0dfvpWToocCAAAA6APLly/XbbfdpvLycklSbW2tfv3rX+uJJ57Q/PnzTxhfUFCggoICSYr5eUmqq6uL+njNmjUaMmSIGhsbddlll/XyO+gZKhQAAADwl0DAnSMBXV1damxsVHFx8efCDqi4uFgNDQ29diva2tokSeecc06vXTNRVCgAAACAHmpvb4/6OBgMKhgMnjDu4MGDCofDyszMjDqfmZmp999/v1diMU1Tc+fO1ZQpUzRmzJheuaYdVCgAAADgL8ebsp0+JOXk5CgjIyNyVFdXu3YbZs+erV27dmndunWuxSBRoQAAAAB6rLm5Wenp6ZGPY1UnJGnw4MFKSkpSS0tL1PmWlpa4DdeJqKio0KZNm/TKK6/o3HPPPe3rnQ4qFAAAAEAPpaenRx3xEoqUlBRNnDhR9fX1kXOmaaq+vl5FRUW257csSxUVFdqwYYNeeukljRgxwva1egsVCgAAAPiLEXBhp+zE56usrFRZWZny8/M1adIk1dTUqKOjI/LUp1mzZmnYsGGRZVNdXV169913I3/et2+fdu7cqbPOOksXXHCBpGPLnNauXatf/epXGjhwoEKhkCQpIyNDaWlpvfFOE0ZCAQAAAPSBGTNm6MCBA6qqqlIoFFJeXp7q6uoijdp79+5V4HNPj9q/f7/Gjx8f+XjZsmVatmyZpk6dqi1btkiSVq1aJUm6/PLLo+Z68skndfPNN/fp+4mHhAIAAAD+YiT+GNdemdOGiooKVVRUxPzc8SThuNzcXFnWyXcpP9Xn3UAPBQAAAADbSCgAAAAA2MaSJwAAAPjL5/aFcHROxESFAgAAAIBtCSUU1dXVKigo0MCBAzVkyBCVlpZq9+7dfRUbAAAAcKLjj411+kBMCd2ZrVu3avbs2XrjjTe0efNmdXd368orr1RHR0dfxQcAAADAwxLqoairq4v6eM2aNRoyZIgaGxt12WWX9WpgAAAAQEz0UHjKaTVlt7W1SZLOOeecuGM6OzvV2dkZ+bi9vf10pgQAAADgIbYXg5mmqblz52rKlCkaM2ZM3HHV1dXKyMiIHDk5OXanBAAAAOAxthOK2bNna9euXVq3bt1Jxy1YsEBtbW2Ro7m52e6UAAAAwLFdst04EJOtJU8VFRXatGmTXnnlFZ177rknHRsMBhUMBm0FBwAAAMDbEkooLMvSHXfcoQ0bNmjLli0aMWJEX8UFAAAAxGQZhiyHm6Sdns9PEkooZs+erbVr1+pXv/qVBg4cqFAoJEnKyMhQWlpanwQIAAAAwLsSWgy2atUqtbW16fLLL9fQoUMjx/r16/sqPgAAAAAelvCSJwAAAMBVhuH8ztUseYqLdnUAAAAAtp3WxnYAAACA44yACxUKfg8fD3cGAAAAgG1UKAAAAOArPDbWW6hQAAAAALCNhAIAAACAbSx5AgAAgL/QlO0p3BkAAAAAtlGhAAAAgL8YhvMbzdGUHRcVCgAAAAC2kVAAAAAAsI0lTwAAAPCXQODY4fSciMm1hKK9Payuo2G3po8rpV+S2yHEdficQW6HENO5X8t0O4S4+md5855JUtfQr7gdQlxp6nA7hLhSkwa6HUJMASPodghx/fsjv3U7hLj+8/9tcDuEuIqXdrkdQlzfvOV/uB1CXPUbd7kdQkxHu7vdDiGuAV/y3te17i76BdBzVCgAAADgK+yU7S3UbgAAAADYRoUCAAAA/sLGdp7CnQEAAABgGwkFAAAAANtY8gQAAABfsYyALIeXIDk9n59wZwAAAADYRoUCAAAA/mIYxw6n50RMVCgAAAAA2EZCAQAAAMA2ljwBAADAVyy50JTN7+Hj4s4AAAAAsI0KBQAAAPyFpmxPoUIBAAAAwDYqFAAAAPAXw5Cc3miOCkVcVCgAAAAA2EZCAQAAAMA2ljwBAADAVyzDkOXwEiSn5/MTKhQAAAAAbKNCAQAAAH8xAi40ZfN7+Hi4MwAAAABsI6EAAAAAYBtLngAAAOArlgxZcrgp2+H5/IQKBQAAAADbqFAAAADAVywjIMvhJmmn5/MT7gwAAAAA26hQAAAAwF94bKyncGcAAAAA2EZCAQAAAMA2ljwBAADAVyzDkGU4/NhYh+fzEyoUAAAAQB9ZuXKlcnNzlZqaqsLCQm3bti3u2HfeeUfXXXedcnNzZRiGampqTvuaTiChAAAAgK8cf2ys00ei1q9fr8rKSi1evFhNTU0aN26cSkpK1NraGnP84cOHdf7552vJkiXKysrqlWs6gYQCAAAA6APLly/XbbfdpvLyco0ePVq1tbXq37+/nnjiiZjjCwoK9OMf/1g33HCDgsFgr1zTCSQUAAAAQC/r6upSY2OjiouLI+cCgYCKi4vV0NDgmWv2BpqyAQAA4C+Gcexwek5J7e3tUaeDwWDMasLBgwcVDoeVmZkZdT4zM1Pvv/++rRD64pq9gQoFAAAA0EM5OTnKyMiIHNXV1W6H5DoqFAAAAPAXm03SpzunJDU3Nys9PT1yOl6vw+DBg5WUlKSWlpao8y0tLXEbrk+lL67ZG6hQAAAAAD2Unp4edcRLKFJSUjRx4kTV19dHzpmmqfr6ehUVFdmauy+u2Rtcq1CEw5aOHrXcmj4uy3shRTieiX8BhD/rdDuEuCgP2mO6HUAcpoe/dpjhsNshxGV99pnbIQDwIUuGLDm8sZ2N+SorK1VWVqb8/HxNmjRJNTU16ujoUHl5uSRp1qxZGjZsWGTZVFdXl959993In/ft26edO3fqrLPO0gUXXNCja7qBn2kAAACAPjBjxgwdOHBAVVVVCoVCysvLU11dXaSpeu/evQoE/voL4/3792v8+PGRj5ctW6Zly5Zp6tSp2rJlS4+u6QYSCgAAAKCPVFRUqKKiIubnjicJx+Xm5srqwXKZk13TDSQUAAAA8BW7O1ef7pyIjTsDAAAAwDYqFAAAAPAXQy5sbOfsdH5ChQIAAACAbSQUAAAAAGxjyRMAAAB8xVJAlsO/F3d6Pj/hzgAAAACwjQoFAAAAfMUyDFkON2U7PZ+fUKEAAAAAYBsJBQAAAADbWPIEAAAAX2GnbG/hzgAAAACw7bQSiiVLlsgwDM2dO7eXwgEAAABOzpLhyoHYbCcU27dv109+8hNdcsklvRkPAAAAAB+xlVAcOnRIM2fO1OOPP66zzz67t2MCAAAA4jreQ+H0gdhs3ZnZs2dr2rRpKi4u7u14AAAAAPhIwk95WrdunZqamrR9+/Yeje/s7FRnZ2fk4/b29kSnBAAAAOBRCVUompubNWfOHD399NNKTU3t0Wuqq6uVkZEROXJycmwFCgAAAEh/3Snb6QOxJZRQNDY2qrW1VRMmTFBycrKSk5O1detWPfroo0pOTlY4HD7hNQsWLFBbW1vkaG5u7rXgAQAAALgroSVPX/va1/T73/8+6lx5eblGjRqle+65R0lJSSe8JhgMKhgMnl6UAAAAwF+48RhXHhsbX0IJxcCBAzVmzJiocwMGDNCgQYNOOA8AAADgi4/nXwEAAACwLeGnPP2tLVu29EIYAAAAQM+4sS8E+1DEx50BAAAAYNtpVygAAAAAJ9GU7S1UKAAAAADYRkIBAAAAX7EUiPRROHb4/MfmCRMm6JNPPpEk3XfffTp8+HCvXdvfdwYAAADAKb333nvq6OiQJP3Lv/yLDh061GvXpocCAAAA+ILLy8tTeXm5Lr30UlmWpWXLlumss86KObaqqiqha5NQAAAAwFdoyk7cmjVrtHjxYm3atEmGYeiFF15QcvKJqYBhGCQUAAAAAKJdeOGFWrdunSQpEAiovr5eQ4YM6ZVr00MBAAAAX7EMw/mmbMPfFYrPN2UvXrw47nInO0goAAAAgC+4zzdl33fffTRlAwAAAOg5mrIBAACAv6ApO3E0ZQMAAACwrS+bsl1LKFJSAgoGvdfCkRZ0O4L4+h39zO0QYupo7XA7hLg6Wj5xO4S4Bhz+s9shxGWeneR2CHF576vGMQEP/+Jq3NRxbocQ1/aJBW6HENfQnSG3Q4hrz8e9t/a5tyUle/PrhxHw6lcPqeuzTrdDOMHRLu/F9HnHmrIdrlD4vCn780zT7NXrUaEAAAAAvuA2btyoq6++Wv369dPGjRtPOvbaa69N6NokFAAAAPAVyzJkWQ5XKByer7eVlpYqFAppyJAhKi0tjTvOMAyFw+GErk1CAQAAAHzBfX6ZE0ueAAAAANhimqbWrFmjZ599Vh9//LEMw9D555+v6667TjfddJMMG70i3u1QAgAAAGIKyHL4+CL82GxZlq699lr90z/9k/bt26exY8fq4osv1scff6ybb75Z3/zmN21dlwoFAAAAcAZYs2aNXnnlFdXX1+uKK66I+txLL72k0tJS/fSnP9WsWbMSuq7/Uy0AAACcUY5vbOf04Xc///nPtXDhwhOSCUn6+7//e82fP19PP/10wtcloQAAAADOAG+//bauuuqquJ+/+uqr9bvf/S7h65JQAAAAAGeAP/3pT8rMzIz7+czMTH3ySeKbAtNDAQAAAF9xYwnSF2HJUzgcVnJy/B//k5KSdPTo0YSvS0IBAAAAnAEsy9LNN9+sYDAY8/OdnZ22rktCAQAAAF+hQmFPWVnZKcck+oQniYQCAAAAOCM8+eSTfXJdEgoAAAD4ChUKb+EpTwAAAABsI6EAAAAAYBtLngAAAOArlmXIshxe8uTwfH5ChQIAAACAbVQoAAAA4Cs0ZXsLFQoAAAAAtpFQAAAAALCNJU8AAADwFZY8eQsVCgAAAKCPrFy5Urm5uUpNTVVhYaG2bdt20vHPPPOMRo0apdTUVI0dO1bPP/981OcPHTqkiooKnXvuuUpLS9Po0aNVW1vbl2/hlEgoAAAA4CvHKxROH4lav369KisrtXjxYjU1NWncuHEqKSlRa2trzPGvv/66brzxRt1666166623VFpaqtLSUu3atSsyprKyUnV1dfrZz36m9957T3PnzlVFRYU2btxo+36eLhIKAAAAoA8sX75ct912m8rLyyOVhP79++uJJ56IOf6RRx7RVVddpXnz5umiiy7S/fffrwkTJmjFihWRMa+//rrKysp0+eWXKzc3V7fffrvGjRt3yspHXyKhAAAAgK9YMiKb2zl2/KVC0d7eHnV0dnbGjLGrq0uNjY0qLi6OnAsEAiouLlZDQ0PM1zQ0NESNl6SSkpKo8ZMnT9bGjRu1b98+WZall19+WR988IGuvPLK072ttpFQAAAAAD2Uk5OjjIyMyFFdXR1z3MGDBxUOh5WZmRl1PjMzU6FQKOZrQqHQKcc/9thjGj16tM4991ylpKToqquu0sqVK3XZZZed5juzj6c8AQAAAD3U3Nys9PT0yMfBYNDR+R977DG98cYb2rhxo4YPH65XXnlFs2fPVnZ29gnVDaeQUAAAAMBXTBkyHX6M6/H50tPToxKKeAYPHqykpCS1tLREnW9paVFWVlbM12RlZZ10/GeffaaFCxdqw4YNmjZtmiTpkksu0c6dO7Vs2TLXEgqWPAEAAAC9LCUlRRMnTlR9fX3knGmaqq+vV1FRUczXFBUVRY2XpM2bN0fGd3d3q7u7W4FA9I/wSUlJMk2zl99Bz1GhAAAAgK/4ZWO7yspKlZWVKT8/X5MmTVJNTY06OjpUXl4uSZo1a5aGDRsW6cOYM2eOpk6dqocffljTpk3TunXrtGPHDq1evVrSserI1KlTNW/ePKWlpWn48OHaunWrfvrTn2r58uW992YTREIBAAAA9IEZM2bowIEDqqqqUigUUl5enurq6iKN13v37o2qNkyePFlr167Vvffeq4ULF2rkyJF67rnnNGbMmMiYdevWacGCBZo5c6b+9Kc/afjw4XrggQf03e9+1/H3dxwJBQAAANBHKioqVFFREfNzW7ZsOeHc9OnTNX369LjXy8rK0pNPPtlb4fUKEgoAAAD4yvG9IZyeE7HRlA0AAADANioUAAAA8BVL9pqkT3dOxEaFAgAAAIBtVCgAAADgK/RQeItrCYVhHDvQc4blzWKbGfZmXJJkHg27HUJ8Hv3/6XXubdvjX6lp/dwOIa4Dh4JuhxDXWen93Q4hrs4j3W6HgF5kubghWTyW5b2Y4F0seQIAAABgG0ueAAAA4Ct+2Sn7TEGFAgAAAIBtVCgAAADgKzRlewsVCgAAAAC2kVAAAAAAsI0lTwAAAPAVS84/RpyHvcdHhQIAAACAbVQoAAAA4Cs0ZXsLFQoAAAAAtpFQAAAAALCNJU8AAADwFXbK9hYqFAAAAABso0IBAAAAX6Ep21sSrlDs27dP3/72tzVo0CClpaVp7Nix2rFjR1/EBgAAAMDjEqpQfPLJJ5oyZYquuOIKvfDCC/ryl7+sDz/8UGeffXZfxQcAAABEoYfCWxJKKJYuXaqcnBw9+eSTkXMjRozo9aAAAAAA+ENCS542btyo/Px8TZ8+XUOGDNH48eP1+OOPn/Q1nZ2dam9vjzoAAAAAfDEklFD88Y9/1KpVqzRy5Ei9+OKL+t73vqc777xTTz31VNzXVFdXKyMjI3Lk5OScdtAAAAA4c5mWOwdiSyihME1TEyZM0IMPPqjx48fr9ttv12233aba2tq4r1mwYIHa2toiR3Nz82kHDQAAAMAbEuqhGDp0qEaPHh117qKLLtIvf/nLuK8JBoMKBoP2ogMAAAD+Bk3Z3pJQhWLKlCnavXt31LkPPvhAw4cP79WgAAAAAPhDQgnFXXfdpTfeeEMPPvig/vCHP2jt2rVavXq1Zs+e3VfxAQAAAPCwhJY8FRQUaMOGDVqwYIHuu+8+jRgxQjU1NZo5c2ZfxQcAAABEYadsb0kooZCka665Rtdcc01fxAIAAADAZxJOKAAAAAA3Wdaxw+k5EVtCPRQAAAAA8HlUKAAAAOArpgyZDj/G1en5/IQKBQAAAADbSCgAAAAA2MaSJwAAAPgKj431FioUAAAAAGyjQgEAAABf4bGx3kKFAgAAAIBtJBQAAAAAbGPJEwAAAHzFkiHL4X0hnJ7PT6hQAAAAALCNCgUAAAB8xbSOHU7PidhcSyjSUgNKTfVegSQl2bt/W5KPHnE7hJgOffyZ2yHEdfTibrdDiCvQ0eZ2CHF1W/3cDiGusJnkdggxefkbzYUj+7sdQlz/66cfuB1CXFde83duhxDXpmd+73YIcfULprgdQkwBw7vLVY52H3U7hBN4MSZ4FxUKAAAA+IsLG9uJje3i8l6JAAAAAIBvkFAAAAAAsI0lTwAAAPAVdsr2FioUAAAAAGyjQgEAAABfMWXIdHijOafn8xMqFAAAAABsI6EAAAAAYBtLngAAAOArNGV7CxUKAAAAALZRoQAAAICvWC7slO34ztw+QoUCAAAAgG1UKAAAAOArpnXscHpOxEaFAgAAAOgjK1euVG5urlJTU1VYWKht27addPwzzzyjUaNGKTU1VWPHjtXzzz9/wpj33ntP1157rTIyMjRgwAAVFBRo7969ffUWTomEAgAAAOgD69evV2VlpRYvXqympiaNGzdOJSUlam1tjTn+9ddf14033qhbb71Vb731lkpLS1VaWqpdu3ZFxvzXf/2XLr30Uo0aNUpbtmzR22+/rUWLFik1NdWpt3UCEgoAAAD4yvHHxjp9JGr58uW67bbbVF5ertGjR6u2tlb9+/fXE088EXP8I488oquuukrz5s3TRRddpPvvv18TJkzQihUrImP+5//8n/qHf/gHPfTQQxo/fry+8pWv6Nprr9WQIUPs3s7TRkIBAAAA9LKuri41NjaquLg4ci4QCKi4uFgNDQ0xX9PQ0BA1XpJKSkoi403T1K9//Wv93d/9nUpKSjRkyBAVFhbqueee67P30RMkFAAAAPAVS4YrhyS1t7dHHZ2dnTFjPHjwoMLhsDIzM6POZ2ZmKhQKxXxNKBQ66fjW1lYdOnRIS5Ys0VVXXaX//M//1De/+U394z/+o7Zu3Xq6t9U2EgoAAACgh3JycpSRkRE5qqurHZvbNE1J0je+8Q3dddddysvL0/z583XNNdeotrbWsTj+Fo+NBQAAAHqoublZ6enpkY+DwWDMcYMHD1ZSUpJaWlqizre0tCgrKyvma7Kysk46fvDgwUpOTtbo0aOjxlx00UV67bXXEn4vvYUKBQAAAHzF1F/3onDs+Mvc6enpUUe8hCIlJUUTJ05UfX39X+M2TdXX16uoqCjma4qKiqLGS9LmzZsj41NSUlRQUKDdu3dHjfnggw80fPhwezezF1ChAAAAAPpAZWWlysrKlJ+fr0mTJqmmpkYdHR0qLy+XJM2aNUvDhg2LLJuaM2eOpk6dqocffljTpk3TunXrtGPHDq1evTpyzXnz5mnGjBm67LLLdMUVV6iurk7/8R//oS1btrjxFiWRUAAAAMBn7D7G9XTnTNSMGTN04MABVVVVKRQKKS8vT3V1dZHG67179yoQ+OuCocmTJ2vt2rW69957tXDhQo0cOVLPPfecxowZExnzzW9+U7W1taqurtadd96pCy+8UL/85S916aWXnvZ7tIuEAgAAAOgjFRUVqqioiPm5WFWF6dOna/r06Se95i233KJbbrmlN8LrFSQUAAAA8BW/VCjOFDRlAwAAALCNhAIAAACAbSx5AgAAgK+YliHTMhyfE7FRoQAAAABgGxUKAAAA+ApN2d5ChQIAAACAbSQUAAAAAGxjyRMAAAB8hSVP3kKFAgAAAIBtVCgAAADgK5YlmVQoPIMKBQAAAADbqFAAAADAVyzLkOXwRnNOz+cnriUUnx0xZQVMt6aP62jYu0Wbo8mpbocQ01m5aW6HEFe//kG3Q4jLHJDhdghx9TO63Q4hrqRA2O0QYgp4+PvM7g8Pux1CXOXlX3E7hLj+/w373Q4hruGjznU7hLj++w//2+0QYjI9vF6lXzDF7RBOYBjeiwne5d2fngEAAAB4HkueAAAA4Cs8NtZbqFAAAAAAsI0KBQAAAHzFdOGxsU7P5ydUKAAAAADYRkIBAAAAwDaWPAEAAMBXaMr2FioUAAAAAGyjQgEAAABfoULhLVQoAAAAANhGQgEAAADANpY8AQAAwFfYh8JbqFAAAAAAsI0KBQAAAHyFpmxvSahCEQ6HtWjRIo0YMUJpaWn6yle+ovvvv18WdxgAAAA4IyVUoVi6dKlWrVqlp556ShdffLF27Nih8vJyZWRk6M477+yrGAEAAIAI0zx2OD0nYksooXj99df1jW98Q9OmTZMk5ebm6uc//7m2bdvWJ8EBAAAA8LaEljxNnjxZ9fX1+uCDDyRJv/vd7/Taa6/p6quv7pPgAAAAAHhbQhWK+fPnq729XaNGjVJSUpLC4bAeeOABzZw5M+5rOjs71dnZGfm4vb3dfrQAAAA449GU7S0JVSh+8Ytf6Omnn9batWvV1NSkp556SsuWLdNTTz0V9zXV1dXKyMiIHDk5OacdNAAAAABvSKhCMW/ePM2fP1833HCDJGns2LHas2ePqqurVVZWFvM1CxYsUGVlZeTj9vZ2kgoAAADYRoXCWxJKKA4fPqxAILqokZSUJPMkbe/BYFDBYNBedAAAAAA8LaGE4utf/7oeeOABnXfeebr44ov11ltvafny5brlllv6Kj4AAAAAHpZQQvHYY49p0aJF+v73v6/W1lZlZ2frO9/5jqqqqvoqPgAAACCKKcl0eAkS21DEl1BCMXDgQNXU1KimpqaPwgEAAADgJwklFAAAAIDbLMuS5XCXtNPz+UlCj40FAAAAgM+jQgEAAABf4bGx3kKFAgAAAIBtJBQAAAAAbGPJEwAAAHzFMqWT7KvcZ3MiNioUAAAAAGyjQgEAAABfoSnbW6hQAAAAALCNhAIAAACAbSx5AgAAgK+Y1rHD6TkRGxUKAAAAALZRoQAAAICv0JTtLa4lFElJhpKSDLemj8vwXkgRASvsdggxHT181O0Q4uo+3Ol2CHEZR7vdDiEu08PFS8vy8D9Sj8r4UorbIcT17h/djiC+L2dnuB1CXAf2t7kdQlxGwJtfPwIe/gYfDnvv+3vY9F5M8C4qFAAAAPAVy7RkOdzU4PR8fuLNXyMAAAAA8AUSCgAAAAC2seQJAAAAvsJjY72FCgUAAAAA20goAAAA4CvHHxvr9GHHypUrlZubq9TUVBUWFmrbtm0nHf/MM89o1KhRSk1N1dixY/X888/HHfvd735XhmGopqbGXnC9hIQCAAAA6APr169XZWWlFi9erKamJo0bN04lJSVqbW2NOf7111/XjTfeqFtvvVVvvfWWSktLVVpaql27dp0wdsOGDXrjjTeUnZ3d12/jlEgoAAAAgD6wfPly3XbbbSovL9fo0aNVW1ur/v3764knnog5/pFHHtFVV12lefPm6aKLLtL999+vCRMmaMWKFVHj9u3bpzvuuENPP/20+vXr58RbOSkSCgAAAPiKaVquHIno6upSY2OjiouLI+cCgYCKi4vV0NAQ8zUNDQ1R4yWppKQkarxpmrrppps0b948XXzxxQnF1Fd4yhMAAADQQ+3t7VEfB4NBBYPBE8YdPHhQ4XBYmZmZUeczMzP1/vvvx7x2KBSKOT4UCkU+Xrp0qZKTk3XnnXfafQu9jgoFAAAAfMXNpuycnBxlZGREjurqasfed2Njox555BGtWbNGhmE4Nu+pUKEAAAAAeqi5uVnp6emRj2NVJyRp8ODBSkpKUktLS9T5lpYWZWVlxXxNVlbWSce/+uqram1t1XnnnRf5fDgc1t13362amhp9/PHHdt7SaaNCAQAAAF9xs0KRnp4edcRLKFJSUjRx4kTV19dHzpmmqfr6ehUVFcV8TVFRUdR4Sdq8eXNk/E033aS3335bO3fujBzZ2dmaN2+eXnzxxV64s/ZQoQAAAAD6QGVlpcrKypSfn69JkyappqZGHR0dKi8vlyTNmjVLw4YNiyybmjNnjqZOnaqHH35Y06ZN07p167Rjxw6tXr1akjRo0CANGjQoao5+/fopKytLF154obNv7nNIKAAAAIA+MGPGDB04cEBVVVUKhULKy8tTXV1dpPF67969CgT+umBo8uTJWrt2re69914tXLhQI0eO1HPPPacxY8a49RZ6hIQCAAAAvmJalky7W1efxpx2VFRUqKKiIubntmzZcsK56dOna/r06T2+vlt9E59HDwUAAAAA26hQAAAAwFcs89jh9JyIjQoFAAAAANtIKAAAAADYxpInAAAA+IolS5bDTdmWnJ3PT6hQAAAAALCNCgUAAAB8xTIlk6Zsz6BCAQAAAMA2KhQAAADwFctyoYfC4fn8hAoFAAAAANtIKAAAAADYxpInAAAA+IppHTucnhOxUaEAAAAAYBsVCgAAAPiKZVqyHC4ZOD2fn1ChAAAAAGAbCQUAAAAA21jyBAAAAF+xrGOH03MiNioUAAAAAGyjQgEAAABfMU1LpsNN0k7P5ydUKAAAAADYRoUCAAAAvmJZliyHmxqcns9PHE8ojv/POPJZu9NT98hnHYbbIcT1aUqH2yHE1GGG3Q4hrkPdR90OIa72js/cDiGuQ59+6nYIcXV0prgdQkyHO7z7d+3IYe/+Gw0ne/drbudnR9wOIa7uTu/+G+3uOuR2CDEd7fbu11zTgz+oHu0+9jMHP0SjJxxPKD79yw8qD94+3OmpcSb66F23I4jvl/VuRwAAwEl9+umnysjIcDsMeJzjCUV2draam5s1cOBAGcbp/Waqvb1dOTk5am5uVnp6ei9F+MXGPbOH+5Y47pk93LfEcc/s4b4l7ky6Z5Zl6dNPP1V2drbbocRkmccOp+dEbI4nFIFAQOeee26vXjM9Pf0L/w+7t3HP7OG+JY57Zg/3LXHcM3u4b4k7U+4ZlQn0FE3ZAAAA8BXTshzvPfFir4tX8NhYAAAAALb5OqEIBoNavHixgsGg26H4BvfMHu5b4rhn9nDfEsc9s4f7ljjuGRCbYfE8MAAAAPhAe3u7MjIyNHvZfgXTnO1j6fysXSt/kK22trYzoocmEb6uUAAAAABwF03ZAAAA8BXTtGSaDjdlOzyfn1ChAAAAAGCbbxOKlStXKjc3V6mpqSosLNS2bdvcDsnTqqurVVBQoIEDB2rIkCEqLS3V7t273Q7LV5YsWSLDMDR37ly3Q/G8ffv26dvf/rYGDRqktLQ0jR07Vjt27HA7LE8Lh8NatGiRRowYobS0NH3lK1/R/fffL9rc/uqVV17R17/+dWVnZ8swDD333HNRn7csS1VVVRo6dKjS0tJUXFysDz/80J1gPeRk9627u1v33HOPxo4dqwEDBig7O1uzZs3S/v373QvYA071d+3zvvvd78owDNXU1DgWH+A1vkwo1q9fr8rKSi1evFhNTU0aN26cSkpK1Nra6nZonrV161bNnj1bb7zxhjZv3qzu7m5deeWV6ujocDs0X9i+fbt+8pOf6JJLLnE7FM/75JNPNGXKFPXr108vvPCC3n33XT388MM6++yz3Q7N05YuXapVq1ZpxYoVeu+997R06VI99NBDeuyxx9wOzTM6Ojo0btw4rVy5MubnH3roIT366KOqra3Vm2++qQEDBqikpERHjhxxOFJvOdl9O3z4sJqamrRo0SI1NTXp2Wef1e7du3Xttde6EKl3nOrv2nEbNmzQG2+84dndpL/ILMudA7H58ilPhYWFKigo0IoVKyRJpmkqJydHd9xxh+bPn+9ydP5w4MABDRkyRFu3btVll13mdjiedujQIU2YMEH/9m//ph/96EfKy8vjN1EnMX/+fP32t7/Vq6++6nYovnLNNdcoMzNT//7v/x45d9111yktLU0/+9nPXIzMmwzD0IYNG1RaWirpWHUiOztbd999t37wgx9Iktra2pSZmak1a9bohhtucDFa7/jb+xbL9u3bNWnSJO3Zs0fnnXeec8F5VLx7tm/fPhUWFurFF1/UtGnTNHfuXCrYDjj+lKfvLt3nylOeau8ZxlOeYvBdhaKrq0uNjY0qLi6OnAsEAiouLlZDQ4OLkflLW1ubJOmcc85xORLvmz17tqZNmxb1dw7xbdy4Ufn5+Zo+fbqGDBmi8ePH6/HHH3c7LM+bPHmy6uvr9cEHH0iSfve73+m1117T1Vdf7XJk/vDRRx8pFApF/TvNyMhQYWEh3xsS1NbWJsMw9KUvfcntUDzLNE3ddNNNmjdvni6++GK3wzkjWZYly3T48N/v4B3ju6c8HTx4UOFwWJmZmVHnMzMz9f7777sUlb+Ypqm5c+dqypQpGjNmjNvheNq6devU1NSk7du3ux2Kb/zxj3/UqlWrVFlZqYULF2r79u268847lZKSorKyMrfD86z58+ervb1do0aNUlJSksLhsB544AHNnDnT7dB8IRQKSVLM7w3HP4dTO3LkiO655x7deOON/Ab2JJYuXark5GTdeeedbocCeILvEgqcvtmzZ2vXrl167bXX3A7F05qbmzVnzhxt3rxZqampbofjG6ZpKj8/Xw8++KAkafz48dq1a5dqa2tJKE7iF7/4hZ5++mmtXbtWF198sXbu3Km5c+cqOzub+wZHdHd36/rrr5dlWVq1apXb4XhWY2OjHnnkETU1NckwDLfDOWNZliXT4YoBFYr4fLfkafDgwUpKSlJLS0vU+ZaWFmVlZbkUlX9UVFRo06ZNevnll3Xuuee6HY6nNTY2qrW1VRMmTFBycrKSk5O1detWPfroo0pOTlY4HHY7RE8aOnSoRo8eHXXuoosu0t69e12KyB/mzZun+fPn64YbbtDYsWN100036a677lJ1dbXbofnC8a//fG+w53gysWfPHm3evJnqxEm8+uqram1t1XnnnRf53rBnzx7dfffdys3NdTs8wBW+SyhSUlI0ceJE1dfXR86Zpqn6+noVFRW5GJm3WZaliooKbdiwQS+99JJGjBjhdkie97WvfU2///3vtXPnzsiRn5+vmTNnaufOnUpKSnI7RE+aMmXKCY8k/uCDDzR8+HCXIvKHw4cPKxCI/pKclJQk0zRdishfRowYoaysrKjvDe3t7XrzzTf53nAKx5OJDz/8UL/5zW80aNAgt0PytJtuuklvv/121PeG7OxszZs3Ty+++KLb4QGu8OWSp8rKSpWVlSk/P1+TJk1STU2NOjo6VF5e7nZonjV79mytXbtWv/rVrzRw4MDImuKMjAylpaW5HJ03DRw48IQekwEDBmjQoEH0npzEXXfdpcmTJ+vBBx/U9ddfr23btmn16tVavXq126F52te//nU98MADOu+883TxxRfrrbfe0vLly3XLLbe4HZpnHDp0SH/4wx8iH3/00UfauXOnzjnnHJ133nmaO3eufvSjH2nkyJEaMWKEFi1apOzs7JM+0ehMcLL7NnToUH3rW99SU1OTNm3apHA4HPn+cM455yglJcWtsF11qr9rf5t09evXT1lZWbrwwgudDvWMdbxR2uk5EZsvE4oZM2bowIEDqqqqUigUUl5enurq6k5oxsNfHV8Pe/nll0edf/LJJ3XzzTc7HxC+sAoKCrRhwwYtWLBA9913n0aMGKGamhqai0/hscce06JFi/T9739fra2tys7O1ne+8x1VVVW5HZpn7NixQ1dccUXk48rKSklSWVmZ1qxZox/+8Ifq6OjQ7bffrj//+c+69NJLVVdXd8b3QJ3svv3zP/+zNm7cKEnKy8uLet3LL798wveMM8Wp/q4BiObLfSgAAABw5jm+D8U/3b9HKanO9vp0HWnX/7doOPtQxOC7HgoAAAAA3kFCAQAAAMA2X/ZQAAAA4MxlWscOp+dEbFQoAAAAANhGhQIAAAC+wmNjvYUKBQAAAADbqFAAAADAVyzLktM7H7DTQnxUKAAAAADYRkIBAAAAwDaWPAEAAMBXTFMyHW6SNk1Hp/MVKhQAAAAAbKNCAQAAAF+hKdtbqFAAAAAAsI2EAgAAAIBtLHkCAACAr7BTtrdQoQAAAABgGwkFAAAAfOV4hcLpw46VK1cqNzdXqampKiws1LZt2046/plnntGoUaOUmpqqsWPH6vnnn498rru7W/fcc4/Gjh2rAQMGKDs7W7NmzdL+/fttxdZbSCgAAACAPrB+/XpVVlZq8eLFampq0rhx41RSUqLW1taY419//XXdeOONuvXWW/XWW2+ptLRUpaWl2rVrlyTp8OHDampq0qJFi9TU1KRnn31Wu3fv1rXXXuvk2zqBYfEMLAAAAPhAe3u7MjIydOP8D5USHOjo3F2dn+rnS0aqra1N6enpPXpNYWGhCgoKtGLFCkmSaZrKycnRHXfcofnz558wfsaMGero6NCmTZsi57761a8qLy9PtbW1MefYvn27Jk2apD179ui8886z8c5OHxUKAAAAoIfa29ujjs7Ozpjjurq61NjYqOLi4si5QCCg4uJiNTQ0xHxNQ0ND1HhJKikpiTtektra2mQYhr70pS8l/mZ6CQkFAAAA0EM5OTnKyMiIHNXV1THHHTx4UOFwWJmZmVHnMzMzFQqFYr4mFAolNP7IkSO65557dOONN/a4atIXeGwsAAAAfMXNx8Y2NzdH/fAeDAYdjeO47u5uXX/99bIsS6tWrXIlhuNIKAAAAIAeSk9P71E1YPDgwUpKSlJLS0vU+ZaWFmVlZcV8TVZWVo/GH08m9uzZo5deesnV6oTEkicAAAD4jGVZrhyJSElJ0cSJE1VfXx85Z5qm6uvrVVRUFPM1RUVFUeMlafPmzVHjjycTH374oX7zm99o0KBBCcXVF6hQAAAAAH2gsrJSZWVlys/P16RJk1RTU6OOjg6Vl5dLkmbNmqVhw4ZF+jDmzJmjqVOn6uGHH9a0adO0bt067dixQ6tXr5Z0LJn41re+paamJm3atEnhcDjSX3HOOecoJSXFlfdJQgEAAAD0gRkzZujAgQOqqqpSKBRSXl6e6urqIo3Xe/fuVSDw1wVDkydP1tq1a3Xvvfdq4cKFGjlypJ577jmNGTNGkrRv3z5t3LhRkpSXlxc118svv6zLL7/ckff1t9iHAgAAAL5wfB+K6+9+X/0c3oeiu/NT/eLhUQntQ3GmoIcCAAAAgG0seQIAAICvuPnYWJyICgUAAAAA26hQAAAAwFfsPMa1N+ZEbFQoAAAAANhGQgEAAADANpY8AQAAwFcs05Rlmo7PidioUAAAAACwjQoFAAAAfMU0LZkOP8bV6fn8hAoFAAAAANtIKAAAAADYxpInAAAA+Ar7UHgLFQoAAAAAtlGhAAAAgK9YpiXL4SZpp+fzEyoUAAAAAGyjQgEAAABfoULhLVQoAAAAANhGQgEAAADANpY8AQAAwFdMmTIt0/E5ERsVCgAAAAC2UaEAAACAr1im803SDhdEfIUKBQAAAADbSCgAAAAA2MaSJwAAAPgK+1B4CxUKAAAAALZRoQAAAICvWJYly3K4QuHwfH5ChQIAAACAbVQoAAAA4Cumaco0Hd7YzuH5/IQKBQAAAADbSCgAAAAA2MaSJwAAAPgKj431FioUAAAAAGyjQgEAAABfsSxTluVsk7TT8/kJFQoAAAAAtpFQAAAAALCNJU8AAADwFZqyvYUKBQAAAADbqFAAAADAX1yoUIgKRVxUKAAAAADYRkIBAAAAwDaWPAEAAMBXTMuU6fC+EE7P5ydUKAAAAADYRoUCAAAAvsJjY72FCgUAAAAA26hQAAAAwFcsy5RlOtvTYNFDERcVCgAAAAC2kVAAAAAAsI0lTwAAAPAVmrK9hQoFAAAAANuoUAAAAMBXLMt0vEmapuz4qFAAAAAAsI2EAgAAAIBtLHkCAACAr5imZDrcJO3wthe+QoUCAAAAgG1UKAAAAOArlunCTtmUKOKiQgEAAADANioUAAAA8BU2tvMWKhQAAAAAbCOhAAAAAPrIypUrlZubq9TUVBUWFmrbtm0nHf/MM89o1KhRSk1N1dixY/X8889Hfd6yLFVVVWno0KFKS0tTcXGxPvzww758C6dEQgEAAABfOb5TttNHotavX6/KykotXrxYTU1NGjdunEpKStTa2hpz/Ouvv64bb7xRt956q9566y2VlpaqtLRUu3btiox56KGH9Oijj6q2tlZvvvmmBgwYoJKSEh05csT2/TxdhmVZLAgDAACA57W3tysjI0NF0+qU3G+Ao3Mf7e5Qw6+vUltbm9LT03v0msLCQhUUFGjFihWSJNM0lZOTozvuuEPz588/YfyMGTPU0dGhTZs2Rc599atfVV5enmpra2VZlrKzs3X33XfrBz/4gSSpra1NmZmZWrNmjW644YZeeKeJo0IBAAAAXznelO30kYiuri41NjaquLg4ci4QCKi4uFgNDQ0xX9PQ0BA1XpJKSkoi4z/66COFQqGoMRkZGSosLIx7TSfwlCcAAACgh9rb26M+DgaDCgaDJ4w7ePCgwuGwMjMzo85nZmbq/fffj3ntUCgUc3woFIp8/vi5eGPcQIUCAAAA6KGcnBxlZGREjurqardDch0VCgAAAPiKmztlNzc3R/VQxKpOSNLgwYOVlJSklpaWqPMtLS3KysqK+ZqsrKyTjj/+35aWFg0dOjRqTF5eXmJvqBdRoQAAAICvhI926Gi3s0f4aIckKT09PeqIl1CkpKRo4sSJqq+vj5wzTVP19fUqKiqK+ZqioqKo8ZK0efPmyPgRI0YoKysrakx7e7vefPPNuNd0AhUKAAAA+EJKSoqysrK0o/56V+bPyspSSkpKj8dXVlaqrKxM+fn5mjRpkmpqatTR0aHy8nJJ0qxZszRs2LDIsqk5c+Zo6tSpevjhhzVt2jStW7dOO3bs0OrVqyVJhmFo7ty5+tGPfqSRI0dqxIgRWrRokbKzs1VaWtrr77enSCgAAADgC6mpqfroo4/U1dXlyvwpKSlKTU3t8fgZM2bowIEDqqqqUigUUl5enurq6iJN1Xv37lUg8NcFQ5MnT9batWt17733auHChRo5cqSee+45jRkzJjLmhz/8oTo6OnT77bfrz3/+sy699FLV1dUlFFdvYx8KAAAAALbRQwEAAADANhIKAAAAALaRUAAAAACwjYQCAAAAgG0kFAAAAABsI6EAAAAAYBsJBQAAAADbSCgAAAAA2EZCAQAAAMA2EgoAAAAAtpFQAAAAALCNhAIAAACAbf8X7QmpeRauJMwAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 1000x800 with 2 Axes>"
       ]
@@ -431,7 +431,67 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<tf.Variable 'Variable:0' shape=(10, 16) dtype=float64, numpy=\n",
+       "array([[0.09433389, 0.1236908 , 0.22353105, 0.38917828, 0.35217605,\n",
+       "        0.26322616, 0.19383107, 0.16504789, 0.13519015, 0.08649681,\n",
+       "        0.11608759, 0.06013611, 0.03446248, 0.05151014, 0.00581461,\n",
+       "        0.00807102],\n",
+       "       [0.0943339 , 0.12369081, 0.2235312 , 0.38917845, 0.35217612,\n",
+       "        0.2632263 , 0.19383109, 0.16504796, 0.13519013, 0.08649681,\n",
+       "        0.11608761, 0.0601361 , 0.03446247, 0.05151013, 0.0058146 ,\n",
+       "        0.00807102],\n",
+       "       [0.09433375, 0.1236906 , 0.22352787, 0.38917456, 0.35217439,\n",
+       "        0.26322299, 0.19383041, 0.16504626, 0.13519067, 0.0864968 ,\n",
+       "        0.11608713, 0.06013626, 0.03446262, 0.05151039, 0.0058147 ,\n",
+       "        0.00807117],\n",
+       "       [0.0943339 , 0.12369081, 0.22353118, 0.38917843, 0.35217611,\n",
+       "        0.26322627, 0.19383109, 0.16504794, 0.13519013, 0.08649681,\n",
+       "        0.1160876 , 0.0601361 , 0.03446246, 0.05151013, 0.0058146 ,\n",
+       "        0.00807102],\n",
+       "       [0.0943339 , 0.12369081, 0.22353122, 0.38917848, 0.35217613,\n",
+       "        0.26322632, 0.1938311 , 0.16504797, 0.13519012, 0.08649681,\n",
+       "        0.11608761, 0.0601361 , 0.03446247, 0.05151013, 0.0058146 ,\n",
+       "        0.00807101],\n",
+       "       [0.09433391, 0.12369083, 0.22353141, 0.38917871, 0.35217624,\n",
+       "        0.26322652, 0.19383114, 0.16504808, 0.13519009, 0.08649681,\n",
+       "        0.11608764, 0.06013609, 0.03446246, 0.05151011, 0.0058146 ,\n",
+       "        0.00807101],\n",
+       "       [0.0943339 , 0.12369082, 0.22353133, 0.38917861, 0.35217619,\n",
+       "        0.26322643, 0.19383112, 0.16504803, 0.1351901 , 0.08649681,\n",
+       "        0.11608762, 0.06013609, 0.03446246, 0.05151012, 0.0058146 ,\n",
+       "        0.00807101],\n",
+       "       [0.09433389, 0.12369079, 0.22353085, 0.38917806, 0.35217596,\n",
+       "        0.26322597, 0.19383103, 0.1650478 , 0.13519019, 0.08649682,\n",
+       "        0.11608756, 0.06013612, 0.03446249, 0.05151015, 0.00581461,\n",
+       "        0.00807103],\n",
+       "       [0.09433391, 0.12369083, 0.22353143, 0.38917873, 0.35217625,\n",
+       "        0.26322654, 0.19383114, 0.16504809, 0.13519009, 0.08649681,\n",
+       "        0.11608764, 0.06013609, 0.03446246, 0.05151011, 0.0058146 ,\n",
+       "        0.00807101],\n",
+       "       [0.0943339 , 0.12369082, 0.22353127, 0.38917854, 0.35217617,\n",
+       "        0.26322637, 0.19383111, 0.165048  , 0.13519012, 0.08649681,\n",
+       "        0.11608762, 0.0601361 , 0.03446247, 0.05151012, 0.0058146 ,\n",
+       "        0.00807101]])>"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "W"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -444,22 +504,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.colorbar.Colorbar at 0x1bd79a03a70>"
+       "<matplotlib.colorbar.Colorbar at 0x1f8a41eaf90>"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x800 with 2 Axes>"
       ]
@@ -508,7 +568,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<tf.Variable 'Variable:0' shape=(16,) dtype=float64, numpy=\n",
+       "array([ 0.09637784,  0.16660364,  0.5509122 ,  1.6909114 ,  1.33267175,\n",
+       "        0.74192492,  0.43630924,  0.32370389,  0.26338517,  0.14134507,\n",
+       "        0.1299012 ,  0.08272605,  0.04140223, -0.00346418,  0.00432023,\n",
+       "        0.00293535])>"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "P_var"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [