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+{"data": [{"id": "6003349442621", "name": "Entertainment"}, {"id": "6003142505790", "name": "Facebook"}, {"id": "6003342621987", "name": "Social network"}, {"id": "6003167425934", "name": "Shopping and fashion"}, {"id": "6003985771306", "name": "Technology"}, {"id": "6012547807252", "name": "Hobbies and activities"}, {"id": "6003045600844", "name": "Instant messaging"}, {"id": "6009177290315", "name": "Facebook Messenger"}, {"id": "6008803895164", "name": "Sports and outdoors"}, {"id": "6003269553527", "name": "Sports"}, {"id": "6008740787350", "name": "Business and industry"}, {"id": "6003716669862", "name": "Consumer electronics"}, {"id": "6003263791114", "name": "Shopping"}, {"id": "6012684376438", "name": "Family and relationships"}, {"id": "6003188427578", "name": "Facebook for Android"}, {"id": "6009248606271", "name": "Food and drink"}, {"id": "6003020834693", "name": "Music"}, {"id": "6003070856229", "name": "Games"}, {"id": "6003266061909", "name": "Food"}, {"id": 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"Quu1ea3ng Ngu00e3i"}, {"id": "6002943123046", "name": "Collegiate wrestling"}, {"id": "6003052970845", "name": "Stockport"}, {"id": "6003223700076", "name": "Hilton Head Island, South Carolina"}, {"id": "6003198733065", "name": "Indo-European languages"}, {"id": "6003288151351", "name": "Luther Vandross"}, {"id": "6003369712402", "name": "Diego Torres"}, {"id": "6003136479461", "name": "DoktorlarSitesi.NET"}, {"id": "6003655445278", "name": "Bologna F.C. 1909"}, {"id": "6003330962169", "name": "Brown Sugar (2002 film)"}, {"id": "6003390678944", "name": "Endurance training"}, {"id": "6003126023549", "name": "Clube Atlu00e9tico Bragantino"}, {"id": "6003287269600", "name": "Kingdom of Hungary"}, {"id": "6003361043587", "name": "The Diabetes Awareness Ribbon"}, {"id": "6003217187476", "name": "rose wine"}, {"id": "6003369436909", "name": "Recep u0130vedik 3"}, {"id": "6003277611727", "name": "Vista, California"}, {"id": "6003106517578", "name": "KK Cibona"}, {"id": "6003484375998", "name": "Bernie Mac"}, {"id": "6005577696998", "name": "Giddens Ko"}, {"id": "6003188089815", "name": "Madureira, Rio de Janeiro"}, {"id": "6003340996396", "name": "Outdoor education"}, {"id": "6003141363376", "name": "Chennai International Airport"}, {"id": "6003328856048", "name": "Alizu00e9e"}, {"id": "6003527225395", "name": "Aorta"}, {"id": "6003295557176", "name": "Polygraph"}, {"id": "6003115439192", "name": "Rambler (automobile)"}, {"id": "6019099528759", "name": "Euro Fantasy League"}, {"id": "6016853328965", "name": "Anchor Ravi"}, {"id": "6009374485495", "name": "Parcel (package)"}, {"id": "6014257844745", "name": "Dennis Wolf"}, {"id": "6012669410533", "name": "Investigaciu00f3n Discovery"}, {"id": "6002963083846", "name": "Cienciano"}, {"id": "6017616211638", "name": "Dreamland Story"}, {"id": "6003446658480", "name": "Right of self-defense"}, {"id": "6003175564352", "name": "Reform Judaism"}, {"id": "6003242345813", "name": "Editora Globo"}, {"id": "6003189574934", "name": "Televicentro (Canal 2)"}, {"id": "6002896529022", "name": "Strength Project"}, {"id": "6004848155428", "name": "Siddharth (actor)"}, {"id": "6002978232720", "name": "Thanatology"}, {"id": "6003108420990", "name": "Freeskiing"}, {"id": "6003191178961", "name": "Narciso Mina"}, {"id": "6003122582322", "name": "Zaza people"}, {"id": "6003481588864", "name": "Apolo, La Paz"}, {"id": "6003198254865", "name": "Power Pack"}, {"id": "6003389595396", "name": "Salamat Dok"}]}
\ No newline at end of file
diff --git a/data/queries/top_interests_complete_clean.json b/data/queries/top_interests_complete_clean.json
new file mode 100644
index 0000000..52c1230
--- /dev/null
+++ b/data/queries/top_interests_complete_clean.json
@@ -0,0 +1,185320 @@
+{
+    "data": [
+        {
+            "id": "6003349442621", 
+            "name": "Entertainment"
+        }, 
+        {
+            "id": "6003142505790", 
+            "name": "Facebook"
+        }, 
+        {
+            "id": "6003342621987", 
+            "name": "Social network"
+        }, 
+        {
+            "id": "6003167425934", 
+            "name": "Shopping and fashion"
+        }, 
+        {
+            "id": "6003985771306", 
+            "name": "Technology"
+        }, 
+        {
+            "id": "6012547807252", 
+            "name": "Hobbies and activities"
+        }, 
+        {
+            "id": "6003045600844", 
+            "name": "Instant messaging"
+        }, 
+        {
+            "id": "6009177290315", 
+            "name": "Facebook Messenger"
+        }, 
+        {
+            "id": "6008803895164", 
+            "name": "Sports and outdoors"
+        }, 
+        {
+            "id": "6003269553527", 
+            "name": "Sports"
+        }, 
+        {
+            "id": "6008740787350", 
+            "name": "Business and industry"
+        }, 
+        {
+            "id": "6003716669862", 
+            "name": "Consumer electronics"
+        }, 
+        {
+            "id": "6003263791114", 
+            "name": "Shopping"
+        }, 
+        {
+            "id": "6012684376438", 
+            "name": "Family and relationships"
+        }, 
+        {
+            "id": "6003188427578", 
+            "name": "Facebook for Android"
+        }, 
+        {
+            "id": "6009248606271", 
+            "name": "Food and drink"
+        }, 
+        {
+            "id": "6003020834693", 
+            "name": "Music"
+        }, 
+        {
+            "id": "6003070856229", 
+            "name": "Games"
+        }, 
+        {
+            "id": "6003266061909", 
+            "name": "Food"
+        }, 
+        {
+            "id": "6003139266461", 
+            "name": "Movies"
+        }, 
+        {
+            "id": "6004160395895", 
+            "name": "Travel"
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+            "id": "6003198733065", 
+            "name": "Indo-European languages"
+        }, 
+        {
+            "id": "6003288151351", 
+            "name": "Luther Vandross"
+        }, 
+        {
+            "id": "6003369712402", 
+            "name": "Diego Torres"
+        }, 
+        {
+            "id": "6003136479461", 
+            "name": "DoktorlarSitesi.NET"
+        }, 
+        {
+            "id": "6003655445278", 
+            "name": "Bologna F.C. 1909"
+        }, 
+        {
+            "id": "6003330962169", 
+            "name": "Brown Sugar (2002 film)"
+        }, 
+        {
+            "id": "6003390678944", 
+            "name": "Endurance training"
+        }, 
+        {
+            "id": "6003126023549", 
+            "name": "Clube Atlu00e9tico Bragantino"
+        }, 
+        {
+            "id": "6003287269600", 
+            "name": "Kingdom of Hungary"
+        }, 
+        {
+            "id": "6003361043587", 
+            "name": "The Diabetes Awareness Ribbon"
+        }, 
+        {
+            "id": "6003217187476", 
+            "name": "rose wine"
+        }, 
+        {
+            "id": "6003369436909", 
+            "name": "Recep u0130vedik 3"
+        }, 
+        {
+            "id": "6003277611727", 
+            "name": "Vista, California"
+        }, 
+        {
+            "id": "6003106517578", 
+            "name": "KK Cibona"
+        }, 
+        {
+            "id": "6003484375998", 
+            "name": "Bernie Mac"
+        }, 
+        {
+            "id": "6005577696998", 
+            "name": "Giddens Ko"
+        }, 
+        {
+            "id": "6003188089815", 
+            "name": "Madureira, Rio de Janeiro"
+        }, 
+        {
+            "id": "6003340996396", 
+            "name": "Outdoor education"
+        }, 
+        {
+            "id": "6003141363376", 
+            "name": "Chennai International Airport"
+        }, 
+        {
+            "id": "6003328856048", 
+            "name": "Alizu00e9e"
+        }, 
+        {
+            "id": "6003527225395", 
+            "name": "Aorta"
+        }, 
+        {
+            "id": "6003295557176", 
+            "name": "Polygraph"
+        }, 
+        {
+            "id": "6003115439192", 
+            "name": "Rambler (automobile)"
+        }, 
+        {
+            "id": "6019099528759", 
+            "name": "Euro Fantasy League"
+        }, 
+        {
+            "id": "6016853328965", 
+            "name": "Anchor Ravi"
+        }, 
+        {
+            "id": "6009374485495", 
+            "name": "Parcel (package)"
+        }, 
+        {
+            "id": "6014257844745", 
+            "name": "Dennis Wolf"
+        }, 
+        {
+            "id": "6012669410533", 
+            "name": "Investigaciu00f3n Discovery"
+        }, 
+        {
+            "id": "6002963083846", 
+            "name": "Cienciano"
+        }, 
+        {
+            "id": "6017616211638", 
+            "name": "Dreamland Story"
+        }, 
+        {
+            "id": "6003446658480", 
+            "name": "Right of self-defense"
+        }, 
+        {
+            "id": "6003175564352", 
+            "name": "Reform Judaism"
+        }, 
+        {
+            "id": "6003242345813", 
+            "name": "Editora Globo"
+        }, 
+        {
+            "id": "6003189574934", 
+            "name": "Televicentro (Canal 2)"
+        }, 
+        {
+            "id": "6002896529022", 
+            "name": "Strength Project"
+        }, 
+        {
+            "id": "6004848155428", 
+            "name": "Siddharth (actor)"
+        }, 
+        {
+            "id": "6002978232720", 
+            "name": "Thanatology"
+        }, 
+        {
+            "id": "6003108420990", 
+            "name": "Freeskiing"
+        }, 
+        {
+            "id": "6003191178961", 
+            "name": "Narciso Mina"
+        }, 
+        {
+            "id": "6003122582322", 
+            "name": "Zaza people"
+        }, 
+        {
+            "id": "6003481588864", 
+            "name": "Apolo, La Paz"
+        }, 
+        {
+            "id": "6003198254865", 
+            "name": "Power Pack"
+        }, 
+        {
+            "id": "6003389595396", 
+            "name": "Salamat Dok"
+        }
+    ]
+}
\ No newline at end of file
diff --git a/src/analysis/compare_assimilation_across_immigrants_by_origin.ipynb b/src/analysis/compare_assimilation_across_immigrants_by_origin.ipynb
new file mode 100644
index 0000000..8c3a78d
--- /dev/null
+++ b/src/analysis/compare_assimilation_across_immigrants_by_origin.ipynb
@@ -0,0 +1,297 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Compare assimilation across immigrants by origin\n",
+    "Compare assimilation rates across different immigrant groups and compare with known measures of cultural assimilation (e.g. [this report](https://www.manhattan-institute.org/html/comparing-immigrant-assimilation-north-america-and-europe-5846.html))."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import norm_to_pct\n",
+    "import json\n",
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load data\n",
+    "TODO: we need source country interest rates to compute assimilation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>group_name</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>mau_audience_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Canada</td>\n",
+       "      <td>1970s in music</td>\n",
+       "      <td>1.232629e-03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>China</td>\n",
+       "      <td>1970s in music</td>\n",
+       "      <td>1.079532e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Cuba</td>\n",
+       "      <td>1970s in music</td>\n",
+       "      <td>4.175172e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>El Salvador</td>\n",
+       "      <td>1970s in music</td>\n",
+       "      <td>2.849196e-04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Guatemala</td>\n",
+       "      <td>1970s in music</td>\n",
+       "      <td>1.605961e-07</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    group_name   interest_name  mau_audience_pct\n",
+       "0       Canada  1970s in music      1.232629e-03\n",
+       "1        China  1970s in music      1.079532e-06\n",
+       "2         Cuba  1970s in music      4.175172e-04\n",
+       "3  El Salvador  1970s in music      2.849196e-04\n",
+       "4    Guatemala  1970s in music      1.605961e-07"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "immigrant_data = pd.read_csv('../../data/query_results/US_other_immigrants_music_interests.tsv',\n",
+    "                             sep='\\t', index_col=False)\n",
+    "mx_immigrant_data = pd.read_csv('../../data/query_results/Hispanic_MX_music.tsv', sep='\\t', index_col=False)\n",
+    "dest_data = pd.read_csv('../../data/query_results/US_native_white_music.tsv', sep='\\t', index_col=False)\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "min_count = 1000\n",
+    "# immigrant_data.loc[:, 'country'] = immigrant_data.loc[:, 'geo_locations'].apply(lambda x: json.loads(x)['values'][0])\n",
+    "immigrant_name_extractor = re.compile('Ex\\-?pats \\((.+)\\)')\n",
+    "immigrant_data.loc[:, 'group_name'] = immigrant_data.loc[:, 'behavior'].apply(lambda x: immigrant_name_extractor.findall(json.loads(x)['name'])[0])\n",
+    "immigrant_pct_data = immigrant_data.groupby('group_name').apply(\n",
+    "    lambda x: norm_to_pct(x, count_var=count_var, replace_min=True, min_count=min_count))\n",
+    "# restructure to make it easier to join later\n",
+    "shared_interests = immigrant_pct_data.columns.tolist()\n",
+    "immigrant_pct_data.loc[:, 'group_name'] = immigrant_pct_data.index\n",
+    "immigrant_pct_data = pd.melt(immigrant_pct_data, id_vars=['group_name'], value_vars=shared_interests)\n",
+    "immigrant_pct_data.rename(columns={'%s_pct'%(count_var):'interest_name', 'value':count_var_pct}, inplace=True)\n",
+    "mx_immigrant_pct = norm_to_pct(mx_immigrant_data, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=min_count)\n",
+    "mx_immigrant_pct = pd.DataFrame(mx_immigrant_pct).rename(columns={0 : count_var_pct}, inplace=False).assign(interest_name=mx_immigrant_pct.index, group_name='MX')\n",
+    "immigrant_pct_data = pd.concat([immigrant_pct_data, mx_immigrant_pct], axis=0)\n",
+    "# source + dest\n",
+    "dest_pct = norm_to_pct(dest_data, count_var=count_var, replace_min=True, min_count=min_count)\n",
+    "display(immigrant_pct_data.head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot top interests\n",
+    "Explore the immigrants' top interests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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ooKygoyUTJ4xjZs7LRkQMmaygIyIiKigJOiIiooKSoCMiIioo56CjJV0PLKJjypXtDmNI5bPQEdFOWUFHRERUUBJ0REREBSVBR0REVFASdERERAX1mqAlLZc0V9ICST+VtEEp31vSFX2ZTNJn6447JC3oe8irhqSFkjZpUv5UD+3PkXTIqo9s8Eg6SdL+7Y4jIiJ618oKeontSeVuTo8CHx7AfJ/tvUmsKrZPsP2zdscRERG96+sW983AhLrH60q6RNKdki5QzX6SLutuIOnNki6VdDKwdlmNX1CqR0k6U9Ltkq6TtHbpM13SqZJmSPqtpF3LGHdL+mKzwCR9W9LMMtaJdeULJZ0oabakLknblPKNy5xzJH0HUE9PWtJ/lf43SNq0Sf3zq29JnZKml+N1JH1P0m1lnneX8u0k3Vpei/mStm4y5lOSviJplqSfSdqtvC73SHpXaTNZ0ul1fa4oOxujygp/QXnOHy/1z6/6y2v6a0nzSizr9fT8IyJi6LWcoCWNAvYDLq8r3gk4FtgWeCXwRuDnwGvrEtn7gbNtT+GF1fgRpW5r4Fu2twMeBw6uG/tZ23sCZwA/obZy3x6YLGnjJiF+rtxzcwdgL0k71NU9Yntn4NvAcaXsC8CvbO9UntMWPTz1dYDZpf+NpV+rPgf83PauwD7A1yStAxwDfMP2JKATuL+Heafb3gV4Evgi8GbgQOCkXuadBEywvb3ticDZ9ZWS1gIuAv7N9o7A/sCSxkEkHV3e9MxcvnhRy086IiIGrpUEvbakucBfgY2A6+vqbrV9v+0VwFygw7aB84D3lfPVuwNX9zD2vbbnluNZQEddXfcbgS7gdtsP2V4K3ANs3mSs90iaDcwBtqP2pqHbpU3m2BM4H8D2lcBjPcS4gloyo7Tfo4d2zbwFmFJev+nAGGpvBG4GPivp08CWtl+SHIFngWvKcRdwo+3nynFHk/b17gFeKembkt4KPNFQ/xrgIdu3Adh+wvayxkFsT7Pdabtz1NhxvT/biIgYNC2fgwa2BNbixeegl9YdL+eFbyY7G3gfcBhwcbP//HvpX1+3oqHdioZ2SHoFtZXxfrZ3AK6klgwbx2qcwz3EtTLN+izjhdeyfl4BB5ddg0m2t7D9W9v/C7yL2qr1Wkn7NhnzufJmB+peg/JmqPs51M/7/Ny2HwN2pPam4MPAWQ1jq4fnERERFdHyFrftRcDHgOMkvayXtg8CDwKfB86pq3qut779tD7wNLBI0suBt7XQZwZwBICktwEb9tBuDaD7au3DgV81abMQ2KUc12/TXwt8VJLKPDuV368E7rH939R2Cuq34/tiITBJ0hqSNgd2K+NvAqxh+0fAvwM7N/S7E9hM0q6l/XqS8rWvEREV0qf/lG3PkTQPeC9wXy/NLwA2tX1HXdk0YH7Ziv5cnyJdeVzzJM0Bbqe2vXtTC91OBH5QYrkR+FMP7Z4GtpM0C1gEHNrDWN9V7WNkt9SV/wdwGrXnLGoJ9Z1ljPdJeg74P3o/p9yTm4B7qW17LwBml/IJwNmSut+Afaa+k+1nJR0KfLNcmLeE2nnoph8pi4iIoacXdlEHeeDa1cVzbH93lUwQQ2r0+K09/qjT2h3GkMrNMiJioCTNKhcw99kq2dYsq82ngU+uivEjIiJWd6skQZePBkVEREQ/5cKgaMnECeOYmS3fiIghk5tlREREVFASdERERAUlQUdERFRQzkFHS7oeWETHlCvbHUZb5WNXETGUsoKOiIiooCToiIiICkqCjoiIqKAk6IiIiAoacQla0t9KulDSHyTdIekqSa8e5Dn2lvSGwRxzMEjaTNIl7Y4jIiJ6N6ISdLmj1GXAdNtb2d4W+Czw8kGeam+gaYJu520dbT9o+5DeW0ZERLuNqAQN7AM8Z/uM7gLbc23/UjVfk7RAUle5HWP3aviK7vaSTpc0uRwvlHSipNmlzzaSOoBjgI9LmivpTZLOkfR1Sb8AvibpbkmbljHWkPT7cg9n6uaZKulcSdeVeQ6S9NUyzzXd99UudZuU405J08vxXmX+uZLmlHs+d0haUOpHSTqljDdf0kdXzUseERH9MdI+B709MKuHuoOAScCOwCbAbZJmtDDmI7Z3lvQh4DjbH5B0BvCU7VMAJP0L8Gpgf9vLJT0OHEHtXtH7A/NsP9Jk7K2ovanYFrgZONj28ZIuA94B/HglcR0HfNj2TZLWBZ5pqD8aeAWwk+1lkjZqHEDS0aUdo9bftIWXIiIiBstIW0GvzB7AD2wvt/1n4EZg1xb6XVp+zwI6VtLuYtvLy/H3gCPL8T8DZ/fQ52rbzwFdwCjgmlLe1ctcADcBX5f0MWAD28sa6vcHzugut/1o4wC2p9nutN05auy4XqaLiIjBNNIS9O1AT7fCVA/ly3jx6zSmoX5p+b2cle9IPN19YPs+4M+S9gVeB1zdQ5+lpf0KalvzLuUr6uaqj+/52GyfDHwAWBv4jaRtGsYWYCIiopJGWoL+OTBa0r92F0jaVdJewAzg0HJudlNgT+BW4I/AtpJGSxoH7NfCPE8C6/XS5izgfOCHdSvr/ljIC286Du4ulLSV7S7bXwFmAo0J+jrgmO6L1pptcUdERPuMqARdVqAHAm8uH7O6HZgKPEjt6u75wDxqifx42/9XVrs/LHUXAHNamOqnwIHdF4n10OZyYF163t5u1YnANyT9ktoqvtux5YK3ecASXrpKPwv4EzC/tDl8gHFERMQg0gu7pjGUJHUCp9ruKYFXyujxW3v8Uae1O4y2ys0yIqKvJM2y3dmfviPtKu5KkDQF+CC1K7kjIiJeYkRtcVeF7ZNtb2n7V+2OJSIiqikr6GjJxAnjmJkt3oiIIZMVdERERAUlQUdERFRQEnREREQF5Rx0tKTrgUV0TLmy3WEMO/loVkT0V1bQERERFZQEHRERUUFJ0BERERWUBB0REVFBIzJBS3qq4fFkSaeX42MkHdm8Z9Oxnu9bdZI6Jf13u+OIiIje5SruBrbPaHcMq4rtmdRuPRkRERU3IlfQKyNpqqTjyvF0SadJ+nW5deNuPXTbTNI1ku6W9NW6sQ6T1FX6fqWu/ClJ/yVptqQbyv2nG+M4R9K3Jf1C0j2S9pL0PUm/lXRO/Vh1x4d010n6x+7bTUqaUcr2lnRFOV5X0tklvvmSDiYiIipjpK6g15Y0t+7xRtTuz9zMOrbfIGlP4HvA9k3aTAJ2ApYCd0n6JrV7M38F2AV4DLhO0gG2fwysA8y2/UlJJwBfAD7SZNwNgX2Bd1G7x/QbgQ8At0maZHtukz7dTgD+3vYDkjZoUv/vwCLbEwEkbdjYQNLRwNEAo9Z/yXuIiIhYhUbqCnqJ7UndP9SSWU9+AGB7BrB+D8nuBtuLbD8D3AFsCewKTLf9sO1lwAXAnqX9CuCicnw+sEcPc//UtRt2dwF/tt1lewVwO9DRy3O8CThH0r8Co5rU7w98q/uB7ccaG9ieZrvTdueoseN6mS4iIgbTSE3QfeFeHkNt5dxtObWdCQ1gjsZxVzTMsYIXdj/q+455fkD7GODzwObAXEkbN4ytlcwbERFtlgTdu0MBJO1BbUt4UYv9bgH2krSJpFHAYcCNpW4N4JByfDgwkPtC/1nSayWtARzYXShpK9u32D4BeIRaoq53HXXb6s22uCMion1G6jnovnhM0q+B9YF/brWT7YckfQb4BbXV6lW2f1Kqnwa2kzQLWER5E9BPU4ArgPuABcC6pfxrkrYuc98AzAP2quv3ReBbkhZQW/WfCFw6gDgiImIQqXaKM5qRNB04rnw8aTDHfcr2ur23rI7R47f2+KNOa3cYw05ulhExskmaZbuzP32zxR0REVFB2eJeCdt7r6Jxh9XqOSIihl4SdLRk4oRxzMx2bUTEkMkWd0RERAUlQUdERFRQEnREREQF5Rx0tKTrgUV0TLmy3WFEL/KxrojVR1bQERERFZQEHRERUUFJ0BERERWUBB0REVFBSdCDQNJySXMlLZB0saSx7Y6pGUnvkjSl3XFERETvkqAHxxLbk2xvDzwLHNPugJqxfbntk9sdR0RE9C4JevD9EngVgKRPlFX1AknHlrIOSXdKOlfSfEmXNFtxS5ou6VRJMyT9VtKuki6VdLekL9aNtaCuz3GSppbjj0m6o8xxYSmbLOn0cvxySZdJmld+3rCqX5iIiGhdPgc9iCStCbwNuEbSLsD7gddRuyfzLZJuBB4DXgP8i+2bJH0P+BBwSpMhn7W9p6R/A34C7AI8CvxB0qm9hDMFeIXtpZI2aFL/38CNtg+UNIoX7iNd/3yOBo4GGLX+pr09/YiIGERZQQ+OtSXNBWYCfwK+C+wBXGb7adtPAZcCbyrt77N9Uzk+v7Rt5vLyuwu43fZDtpcC9wCb9xLTfOACSe8DljWp3xf4NoDt5bYXNTawPc12p+3OUWPH9TJdREQMpqygB8cS25PqCyRpJe3dy+NuS8vvFXXH3Y/XpJZ4699kjak7fgewJ/Au4N8lbbeSeCIiomKygl51ZgAHSBoraR3gQGrnpwG2kLR7OT4M+FU/5/gz8DeSNpY0GngngKQ1gM1t/wI4HtiAl25h3wB8sLQfJWn9fsYQERGrQBL0KmJ7NnAOcCtwC3CW7Tml+rfAUZLmAxtRtpr7McdzwEll/CuAO0vVKOB8SV3AHOBU2483dP83YJ/SZhaQFXZERIXI7ml3NVYFSR3AFeUjWcPG6PFbe/xRp7U7jOhFbpYRUS2SZtnu7E/frKAjIiIqKBeJDTHbC4FhtXqOiIihlwQdLZk4YRwzs30aETFkssUdERFRQUnQERERFZQEHRERUUE5Bx0t6XpgER1Trmx3GFEh+UhXxKqVFXREREQFJUFHRERUUBJ0REREBSVBR0REVFASdB9IWi5prqQFkn4qaYN+jjNdUr++m3UgJB0j6cihnjciIvouCbpvltieVG508Sjw4XYH1Be2z7D9/XbHERERvUuC7r+bgQkAqvlaWVl3STq0u5Gk40vZPEkn1w8gaQ1J50r6YuPgkhZK+rKkmyXNlLSzpGsl/UHSMaXN3pKuqOtzuqTJ5fhkSXdImi/plFI2VdJx5fhVkn5W4potaavBf4kiIqK/8jnofpA0CtgP+G4pOgiYBOwIbALcJmlGKTsAeJ3txZI2qhtmTeACYIHtL/Uw1X22d5d0KrV7S78RGAPcDpyxkvg2Ag4EtrHtHrbiLwBOtn2ZpDHkzVpERKXkP+W+WVvSXOCvwEbA9aV8D+AHtpfb/jNwI7ArsD9wtu3FALYfrRvrO6w8OQNcXn53AbfYftL2w8AzvZz/fgJ4BjhL0kHA4vpKSesBE2xfVuJ6pjvGhnZHl9X7zOWLF61kuoiIGGxJ0H2zxPYkYEtgLV44B60e2gtwD3W/BvYpq9eeLC2/V9Qddz9eE1jGi/8MxwDYXgbsBvyI2gr+miZx9cr2NNudtjtHjR3XSpeIiBgkSdD9YHsR8DHgOEkvA2YAh0oaJWlTYE/gVuA64J8ljYXnt567fRe4CrhYUn9PNfwR2FbSaEnjqG27I2ldYJztq4BjqW2118f/BHC/pANK+9HdMUZERDXkHHQ/2Z4jaR7wXuB8YHdgHrUV8/G2/w+4RtIkYKakZ6kl5M/WjfH1kljPk3SE7RV9jOE+ST8E5gN3A3NK1XrAT8rqXMDHm3T/J+A7kk4CngP+EbinL/NHRMSqI7unHdiIF4wev7XHH3Vau8OICsnNMiJ6J2mW7X5970W2uCMiIiooCToiIqKCkqAjIiIqKBeJRUsmThjHzJxzjIgYMllBR0REVFASdERERAUlQUdERFRQzkFHS7oeWETHlCvbHUZEVFg+Gz+4soKOiIiooCToiIiICkqCjoiIqKAk6IiIiAoaMQla0oGSLGmblbTZQNKHhjiu6ZL69UXq/ZjrGElHDsVcERExMCMmQQOHAb+idnvIl5A0CtgAGNIEPZRsn2H7++2OIyIiejciErSkdYE3Av9CXYKWtLekX0j6X6ALOBnYStJcSV+TNF7SjPJ4gaQ3NRn7BEm3lfppklTKp0v6iqRbJf2uu6+ktSVdKGm+pIuAtXuIeaGkL0u6WdJMSTtLulbSHyQdUxf/FXV9Tpc0uRyfLOmOMs8ppWyqpOP0irlqAAAJqElEQVTK8ask/UzSPEmzJW018Fc6IiIGy0j5HPQBwDW2fyfpUUk7255d6nYDtrd9r6SOcjwJQNIngWttf6mssMc2Gft02yeV9ucB7wR+WurWtL2bpLcDXwD2Bz4ILLa9g6QdgNlNxux2n+3dJZ0KnEPtTcYY4HbgjJ46SdoIOBDYxrYlbdCk2QXAybYvkzSGJm/WJB0NHA0wav1NVxJmREQMthGxgqa2vX1hOb6wPO52q+17e+h3G/B+SVOBibafbNJmH0m3SOoC9gW2q6u7tPyeBXSU4z2B8wFszwfmryTuy8vvLuAW20/afhh4poek2+0J4BngLEkHAYvrKyWtB0ywfVmJ4xnbixsHsT3NdqftzlFjx61kuoiIGGyrfYKWtDG1xHmWpIXAp4BDu7eigad76mt7BrWE+gBwXuMFVmXl+T/AIbYnAmdSW+F2W1p+L+fFuxVuMfzu/ivqjrsfrwks48V/hmNK3Muo7Qz8iLJ70DCuiIiISlvtEzRwCPB921va7rC9OXAvsEeTtk8C63U/kLQl8BfbZwLfBXZuaN+djB8p57kPaSGeGcARZfztgR368mQa/BHYVtJoSeOA/cq46wLjbF8FHAtMqu9k+wngfkkHlPajJTXbvo+IiDYZCeegD6N28Ve9HwGHAxfVF9r+q6SbJC0ArgYWAJ+S9BzwFHBkQ/vHJZ1JbQt6IbUt8d58Gzhb0nxgLnBrn5/RC/PfJ+mH1LbJ7wbmlKr1gJ+UFb6Ajzfp/k/AdySdBDwH/CNwT39jiYiIwSW71d3WGMlGj9/a4486rd1hRESF5WYZLyVplu1+fdfFSNjijoiIGHaSoCMiIipoJJyDjkEwccI4Zmb7KiJiyGQFHRERUUFJ0BERERWUBB0REVFBOQcdLel6YBEdU65sdxgREUOqnR8dywo6IiKigpKgIyIiKigJOiIiooKSoCMiIiooCbrCJFnSeXWP15T0sKQr+jneWZK2HbwIIyJiVclV3NX2NLC9pLVtLwHeTO3e1P1i+wODFllERKxSWUFX39VA93X+hwE/6K6QNFXScXWPF0jqkLSOpCslzStlh5b66ZI6y/FbJc0ubW4YwucTEREtSIKuvguB95Z7O+8A3NJCn7cCD9re0fb2wDX1lZI2Bc4EDra9I7V7Qb+EpKMlzZQ0c/niRQN6EhER0TdJ0BVnez7QQW31fFWL3bqA/SV9RdKbbDdm19cDM2zfW+Z4tIe5p9nutN05auy4/j2BiIjolyTo4eFy4BTqtreLZbz4z3AMgO3fAbtQS9T/KemEhn4CvGpCjYiIwZAEPTx8DzjJdldD+UJgZwBJOwOvKMebAYttn08tse/c0O9mYC9J3e03WnWhR0REf+Qq7mHA9v3AN5pU/Qg4UtJc4Dbgd6V8IvA1SSuA54APNoz3sKSjgUslrQH8hdoV4hERURFJ0BVme90mZdOB6eV4CfCWJl0XAtc26bt33fHV1K4Qj4iICsoWd0RERAUlQUdERFRQtrijJRMnjGNmG++LGhEx0mQFHRERUUFJ0BERERWUBB0REVFBSdAREREVlAQdERFRQUnQERERFZQEHRERUUFJ0BERERWUBB0REVFBsnNb4OidpCeBu9odRz9tAjzS7iAGYDjHP5xjh+Edf2Jvn/r4t7S9aX8GyVd9Rqvust3Z7iD6Q9LM4Ro7DO/4h3PsMLzjT+ztM1jxZ4s7IiKigpKgIyIiKigJOlo1rd0BDMBwjh2Gd/zDOXYY3vEn9vYZlPhzkVhEREQFZQUdERFRQUnQERERFZQEHUh6q6S7JP1e0pQm9aMlXVTqb5HUUVf3mVJ+l6S/H8q4y/z9il3SmyXNktRVfu87XGKvq99C0lOSjhuqmBvmH8jfmx0k3Szp9vJnMGY4xC7pZZLOLTH/VtJnhjLuuvh6i39PSbMlLZN0SEPdUZLuLj9HDV3Uz8/fr9glTar7OzNf0qFDG/nAXvdSv76kBySd3tKEtvMzgn+AUcAfgFcCawHzgG0b2nwIOKMcvxe4qBxvW9qPBl5Rxhk1TGLfCdisHG8PPDBcXve6+h8BFwPHDbO/N2sC84Edy+ONh9Hfm8OBC8vxWGAh0FHB174D2AH4PnBIXflGwD3l94bleMNhEvurga3L8WbAQ8AGwyH2uvpvAP8LnN7KnFlBx27A723fY/tZ4ELg3Q1t3g2cW44vAfaTpFJ+oe2ltu8Ffl/GGyr9jt32HNsPlvLbgTGSRg9J1DUDed2RdAC1/1xvH6J4Gw0k/rcA823PA7D9V9vLhyhuGFjsBtaRtCawNvAs8MTQhP28XuO3vdD2fGBFQ9+/B663/ajtx4DrgbcORdBFv2O3/Tvbd5fjB4G/AP36hq5+GsjrjqRdgJcD17U6YRJ0TADuq3t8fylr2sb2MmARtVVPK31XpYHEXu9gYI7tpasozmb6HbukdYBPAycOQZw9Gchr/2rAkq4t24HHD0G8TeMq+hL7JcDT1FZvfwJOsf3oqg64p9iKvvy7Gw7/ZnslaTdqq9g/DFJcreh37JLWAP4L+FRfJsxXfYaalDV+9q6nNq30XZUGEnutUtoO+Aq1Vd1QGkjsJwKn2n6qLKjbYSDxrwnsAewKLAZukDTL9g2DG2KPBhL7bsByalusGwK/lPQz2/cMbogrNZB/d8Ph3+zKB5DGA+cBR9l+yUp1FRpI7B8CrrJ9X1/+zWYFHfcDm9c9/jvgwZ7alK29ccCjLfZdlQYSO5L+DrgMONL2UL4Tf1FcRV9ifx3wVUkLgWOBz0r6yKoOuKfYir7+vbnR9iO2FwNXATuv8oibxFX0JfbDgWtsP2f7L8BNwFB/Z/RA/t0Nh3+zPZK0PnAl8Hnbvxnk2HozkNh3Bz5S/s2eAhwp6eReew3VCfb8VPOH2mrmHmoXeXVf+LBdQ5sP8+ILZn5YjrfjxReJ3cPQXuwzkNg3KO0PHm6ve0ObqbTnIrGBvPYbArOpXWS1JvAz4B3DJPZPA2dTW02tA9wB7FC1176u7Tm89CKxe8ufwYbleKNhEvtawA3AsUP5eg9G7A11k2nxIrEhf5L5qd4P8Hbgd9TO53yulJ0EvKscj6F2tfDvgVuBV9b1/VzpdxfwtuESO/B5aucS59b9/M1wiL1hjKm0IUEPwt+b91G7wG0B8NXhEjuwbim/nVpy/lRFX/tdqa34ngb+Ctxe1/efy/P6PfD+4RJ7+TvzXMO/2UnDIfaGMSbTYoLOV31GRERUUM5BR0REVFASdERERAUlQUdERFRQEnREREQFJUFHRERUUBJ0REREBSVBR0REVND/B/Ugt/Rd6Sh1AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xd113fd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xd0957f0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xdc87dd8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xbfe11d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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YcyQdJ+l6STdLemVr8GW2eZWkH5U6syS9o7TpkbRdqff4eOV1Y8udSZLmlriWNsYo72+bcnxYeS+LJZ02hM84IiJGwFC+J7cTMH8953cBdgT+BFwN7EG1+zbAo7b3BJD0+vK8NfBW4IW2LWmi7b+UjUwvsn1Oqdc8xsm2jy3lpwFvAn7SeE+2d5f0RuCzQG9LnC8GXgTcB9wKfLu0+TDw78BH1vP+DgUus/0FSV3AFs0nJe0IfArYw/a95f3RUmc6MB2ga6tt1zNUREQMx2jceHK97TtsrwUWAd1N53rbtuYB4FHg25LeBjw8gDFeJek6ST3Aq6mSasN55Xl+y9jNbrB9p+1VwC3A5aW8Zz1tHm8LvFvSTGCK7Qdbzr8aOMf2vQC272vtwPZs29NsT+vaYkI/w0VExFANJcndCLxkPedXNR2vYd3Z4srWyrZXA7sD51Jdh7t0fYNLGgt8AzjQ9hTgW1SbnbaO3zp2XzGubXq9tqnNasrnU5ZDn1binQvsBSwHTpN0WGuIQLZbj4joAENJcv8PGCPpXxoFknaTtPdQApA0Dphg+xKqZcKp5dSDwPhemjQS2r2l7YG91BkJy3gimb8F2KzE+1zgbtvfAr4D7NrS7krgnyU9o9R/0nJlRERsGINOcrZNdQ3tdeUrBDcCM6muwQ3FeOAiSUuAq4CPlvKzgI9LWti4GaSM/xeq2VsP8L9Uy4ej4VvA3pKuB17KE7PQfYBFkhYCBwBfbW5k+0bgC8BVkhYDXxml+CIioh+qcla0y5hJ23vS4Se1O4wRkx9ojogNQdJ829P6q5dfPImIiNpKkouIiNrKfnJtNmXyBOZliS8iYlRkJhcREbWVJBcREbWVJBcREbWVa3Jt1rN8Bd0zLm53GB0rX0mIiOHITC4iImorSS4iImorSS4iImorSS4iImpro0tyjR26B1h3n7LLeOP1kb1sjRMRETVV97sr9wEeAq4BsH1KW6OJiIgNaqObyfVG0j+VncIXSvqZpGdJ6gaOBD4qaZGkV0qaKemo0maOpOMkXS/pZkmv7KXffSTNlXS+pJsknSKpsZHqIZJ6JC2VdFxTm4ckfVnSAklXStp2w3wKERHRqhZJDvgl8DLbu1DtQ3e07WXAKcCJtqfa/kUv7Ta1vTvVZq2f7aPv3YGPAVOA7YC3SXo2cBzwaqpNXneTtH+pvyWwwPauVPvjPalfSdMlzZM0b83DK4b2jiMiol91Wa78W+BsSZOApwG3DbDdeeV5PtDdR53rbd8KIOlMYE/gMWCO7XtK+RnAXlSbuK4Fzi5tT28a43G2ZwOzodpPboCxRkTEINVlJvd14GTbU4B/BcYOsN2q8ryGvhN+axIyoEHEliQWEdEmdUlyE4Dl5fjwpvIHgfHD7Ht3Sc8r1+IOoloavQ7YW9I2krqAQ6iWJqH6TA8sx4eW+hER0QYb43LlFpLuaHr9FWAm8GNJy4FfAc8r534CnCPpLcC/D3G8a4FZVNfk5gLn214r6ZPAz6lmdZfYvqDUXwnsKGk+sIIqMUZERBtsdEnOdl+zzwtaC2zfDOzcVPSLpnP7NB3fS9/X5B62/aREZfuHwA/7iPEzwGf66C8iIjaQuixXRkREPMlGN5PbkGzPAeYMss24UQkmIiIGLUmuzaZMnsC87JkWETEqslwZERG1lSQXERG1lSQXERG1lWtybdazfAXdMy5udxgbjWW5fhkRg5CZXERE1FaSXERE1FaSXERE1FaSXERE1NaIJjlJD7W8PkLSyeX4SEmHDaKvx9t2OknTJH2t3XFERMS6NtjdlbZP2VBjbWi25wHz2h1HRESsa4MtV0qaKemocjxH0kmSrpG0VNLufTR7tqRLJf1O0pea+jpEUk9pe1xT+UOSvixpgaQrJW3bSxzfl/Q/kn4u6VZJe0v6rqRfS/p+c19Nxwc2zkl6exl3saS5pWwfSReV43GSvlfiWyLpgGF9cBERMWQjPZPbXNKiptdbAxf2UXdL26+QtBfwXWCnXupMBXah2sH7t5K+TrWL93HAS4D7gcsl7W/7f4EtgQW2PybpGOCzwAd76ffpwKuBN1PtObcH8D7gBklTbS/qpU3DMcA/2l4uaWIv5z8DrCi7lCPp6a0VJE0HpgN0bfWkPBwRESNkpGdyj9ie2nhQJYS+nAlgey6wVR8J40rbK2w/CtwEPBfYDZhj+x7bq4EzgL1K/bXA2eX4dGDPPsb+iW0DPcBdtntsrwVupO995RquBr4v6V+Arl7Ovxb478YL2/e3VrA92/Y029O6tpjQz3ARETFU7by70v28hmoG17CGauapYYzR2u/aljHW8sTstrnt2Mc7tI8EPg08B1gk6RktfWs940ZExAbUziR3EICkPamW91YMsN11wN6StpHUBRwCXFXObQIcWI4PBX45jPjukvQiSZsAb20UStrO9nW2jwHupUp2zS6naYm0t+XKiIjYMNr525X3S7oG2Ap4z0Ab2b5T0ieBn1PNmi6xfUE5vRLYUdJ8YAUlkQ7RDOAi4HZgKdDYDPV4SduXsa8EFgN7N7X7PPDfkpZSzT4/B5w3jDgiImKIVF2a2sCDSnOAo8qt9yPZ70Mb287cYyZt70mHn9TuMDYa+YHmiACQNN/2tP7q5RdPIiKittqyXGl7n1Hqd6OaxUVExOjKfnJtNmXyBOZlCS4iYlRkuTIiImorSS4iImorSS4iImor1+TarGf5CrpnXNzuMGIA8vWFiI1PZnIREVFbSXIREVFbSXIREVFbSXIREVFbHZPkJK2RtKjsuv2TPvaXG0g/cyT1+3tmI03SkZIO29DjRkRE3zomyfHEhqs7AfcBH2h3QINh+xTbP2h3HBER8YROSnLNrgUmA6hyfJnh9Uh6fPscSUeXssWSZjV3IGkTSadK+nxr55KWSfovSddKmidpV0mXSbpF0pGlzj6SLmpqc7KkI8rxLEk3SVoi6YRSNlPSUeX4+ZJ+VuJaIGm7kf+IIiKiPx33PbmyEeprgO+UorcBU4EXA9sAN0iaW8r2B15q+2FJWzd1sylwBrDU9hf6GOp22y+XdCLwfWAPqh3AbwROWU98W1NtovpC2+5jWfUMYJbt8yWNpeUfE5KmA9MBurbatq+hIiJimDppJre5pEXAn4GtgStK+Z7AmbbX2L6Lahfw3YDXAt+z/TCA7fua+vom609wABeW5x7gOtsP2r4HeLSf64EPAI8C35b0NuDh5pOSxgOTbZ9f4nq0EWOD7dm2p9me1rXFhPUMFRERw9FJSe4R21OB5wJP44lrcuqjvoC+dny9BnhVmUX1ZVV5Xtt03Hi9KbCadT+fsQC2VwO7A+dSzSQv7SWuiIjoAJ2U5ACwvQL4EHCUpM2AucBBkrokbQvsBVwPXA68R9IW8PgyYsN3gEuAH0sa6pLsH4AdJI2RNIFqCRVJ44AJti8BPkK1bNoc/wPAHZL2L/XHNGKMiIgNq+OuyQHYXihpMXAwcDrwcmAx1cztaNv/B1wqaSowT9JfqZLafzb18ZWSnE6T9A7bawcZw+2SfgQsAX4HLCynxgMXlFmigI/20vxdwDclHQs8BrwduHUw40dExPDJ7mvFLzaEMZO296TDT2p3GDEA+YHmiM4hab7tfr8T3XHLlRERESMlSS4iImqrI6/JPZVMmTyBeVkGi4gYFZnJRUREbSXJRUREbSXJRUREbeWaXJv1LF9B94yL2x1GtEG+khAx+jKTi4iI2kqSi4iI2kqSi4iI2kqSi4iI2uroJCdpjaRFZVfwH3fqr/lLerOkGe2OIyIi1tXRSY6yx5ztnYC/Ake2O6De2L7Q9qx2xxEREevq9CTX7BfA8wEk/UeZ3S2V9JFS1i3pN5JOlbRE0jm9zfwkzZF0oqS5kn4taTdJ50n6naTPN/W1tKnNUZJmluMPSbqpjHFWKTtC0snl+FmSzpe0uDxeMdofTERE9G6j+J5c2fj0DVR7yL0EeDfwUqr93K6TdBVwP/APwHttXy3pu8D7gRN66fKvtveS9GHgAuAlwH3ALZJO7CecGcDzbK+SNLGX818DrrL9VkldwLhBv+GIiBgRnT6T21zSImAe8EeqHb/3BM63vdL2Q8B5wCtL/dttX12OTy91e3Nhee4BbrR9p+1VVBubPqefmJYAZ0h6J7C6l/OvBv4HwPaastP5OiRNlzRP0rw1Dz/pdEREjJBOn8k9Yntqc4Ekrad+6w6wfe0Iu6o8r206brzelCp5Nf8DYGzT8X7AXsCbgc9I2nE98fQepD0bmA3VpqmDbR8REQPT6TO53swF9pe0haQtgbdSXa8D+DtJLy/HhwC/HOIYdwHPlPQMSWOANwFI2gR4ju2fA0cDE3nycuSVwL+V+l2SthpiDBERMUwbXZKzvQD4PnA9cB3wbdsLy+lfA4dLWgJsTVk2HMIYjwHHlv4vAn5TTnUBp0vqARYCJ9r+S0vzDwOvKnXmA4Oe6UVExMiQXY/VMkndwEXl6wYbjTGTtvekw09qdxjRBvmB5oihkzTf9rT+6m10M7mIiIiB6vQbTwbM9jJgo5rFRUTE6MpMLiIiaqs2M7mN1ZTJE5iXazMREaMiM7mIiKitJLmIiKitJLmIiKitXJNrs57lK+iecXG7w4iIIch3HTtfZnIREVFbSXIREVFbSXIREVFbSXIREVFbI5LkJL1VkiW9cD11Jkp6/0iMN4i45kjq9wc8R2isIyUdtiHGioiIgRmpmVxj77aDezspqYtq77UNmuQ2JNun2P5Bu+OIiIgnDDvJSRoH7AG8l6YkJ2kfST+X9EOgB5gFbCdpkaTjJU2SNLe8Xirplb30fYykG8r52Y1dwcsM7ThJ10u6udFW0uaSzpK0RNLZwOZ9xLxM0n9JulbSPEm7SrpM0i2SjmyK/6KmNidLOqIcz5J0UxnnhFI2U9JR5fj5kn4mabGkBZK2G+7nHBERgzcS35PbH7jU9s2S7pO0a9nYFGB3YCfbt5X93nayPRVA0seAy2x/ocz0tuil75NtH1vqn0a1Q/dPGrHb3l3SG4HPAq+l2pH7Yds7S9oZWNBLnw232365pBOpNmHdAxgL3Aic0lcjSVtT7Ub+QtuWNLGXamcAs2yfL2ksLf+YkDQdmA7QtdW26wkxIiKGYySWKw8BzirHZ5XXDdfbvq2PdjcA75Y0E5hi+8Fe6rxK0nVll+1Xs+4u2+eV5/lAdzneCzgdwPYSYMl64r6wPPcA19l+0PY9wKN9JK6GB4BHgW9LehvwcPNJSeOBybbPL3E8anudOrZn255me1rXFhPWM1RERAzHsJKcpGdQJZ9vS1oGfBw4qLGsCKzsq63tuVRJaTlwWutNG2UG9A3gQNtTgG9RzbQaVpXnNaw7Ix3oVueN9mubjhuvNwVWs+7nM7bEvZpqhnouZRbb0q+IiIiOMNyZ3IHAD2w/13a37ecAtwF79lL3QWB844Wk5wJ32/4W8B1g15b6jYR2b7nud+AA4pkLvKP0vxOw82DeTIs/ADtIGiNpAvCa0u84YILtS4CPAFObG9l+ALhD0v6l/hhJvS3FRkTEKBvuNblDqG4oaXYucChwdnOh7T9LulrSUuCnwFLg45IeAx4CDmup/xdJ36JaTlxGtbzZn/8BvidpCbAIuH7Q7+iJ8W+X9COqJc/fAQvLqfHABWWmKeCjvTR/F/BNSccCjwFvB24daiwRETE0sge6uhejYcyk7T3p8JPaHUZEDEF+oLl9JM233e/3oPOLJxERUVtJchERUVvZT67NpkyewLwseUREjIrM5CIioraS5CIioraS5CIiorZyTa7NepavoHvGxe0OIyJig9pQX7/ITC4iImorSS4iImorSS4iImorSS4iImrrKZvkJLlsxNp4vamke5p3Ax9kf9+WtMPIRRgREcP1VL67ciWwk6TNbT8CvI5qb7shsf2+EYssIiJGxFN2Jlf8FGjcx3oIcGbjhKSZko5qer1UUrekLSVdLGlxKTuonJ8jaVo5fr2kBaXOlRvw/URERJOnepI7Czi47A23M3DdANq8HviT7Rfb3omWncElbUu1i/kBtl9MtZccLXWmS5onad6ah1cM+01ERETvntJJzvYSoJtqFnfJAJv1AK+VdJykV9puzVIvA+bavq2QLnEVAAAF1ElEQVSMcV8v4862Pc32tK4tJgz9DURExHo9pZNccSFwAk1LlcVq1v18xgLYvhl4CVWy+6KkY1raCchOtBERHSBJDr4LHGu7p6V8GbArgKRdgeeV42cDD9s+nSo57trS7lpgb0mN+luPXugREbE+T+W7KwGwfQfw1V5OnQscJmkRcANwcymfAhwvaS3wGPBvLf3dI2k6cJ6kTYC7qe7cjIiIDewpm+Rsj+ulbA4wpxw/AuzbS9NlwGW9tN2n6finVHduRkREG2W5MiIiaitJLiIiauspu1zZKaZMnsC8DbSvUkTEU01mchERUVtJchERUVtJchERUVtJchERUVtJchERUVtJchERUVtJchERUVtJchERUVtJchERUVuys/VZO0l6EPhtu+MYoG2Ae9sdxAAl1pG3scQJiXU0dFqcz7W9bX+V8rNe7fdb29PaHcRASJqXWEfexhLrxhInJNbRsLHE2SrLlRERUVtJchERUVtJcu03u90BDEJiHR0bS6wbS5yQWEfDxhLnOnLjSURE1FZmchERUVtJchERUVtJcqNI0usl/VbS7yXN6OX8GElnl/PXSepuOvfJUv5bSf/YqbFKep2k+ZJ6yvOrOzHOpvN/J+khSUeNZpzDjVXSzpKulXRj+WzHdmKskjaTdGqJ8deSPjmacQ4w1r0kLZC0WtKBLecOl/S78ji8E+OUNLXpz36JpINGM87hxNp0fitJyyWdPNqxDprtPEbhAXQBtwB/DzwNWAzs0FLn/cAp5fhg4OxyvEOpPwZ4Xumnq0Nj3QV4djneCVjeiXE2nT8X+DFwVAf/+W8KLAFeXF4/o4P//A8FzirHWwDLgO42x9oN7Az8ADiwqXxr4Nby/PRy/PQOjPMFwPbl+NnAncDETvxMm85/FfghcPJoxTnUR2Zyo2d34Pe2b7X9V+As4C0tdd4CnFqOzwFeI0ml/Czbq2zfBvy+9NdxsdpeaPtPpfxGYKykMZ0WJ4Ck/an+x3bjKMU3UrHuCyyxvRjA9p9tr+nQWA1sKWlTYHPgr8AD7YzV9jLbS4C1LW3/EbjC9n227weuAF7faXHavtn278rxn4C7gX5/2aMdsQJIegnwLODyUYxxyJLkRs9k4Pam13eUsl7r2F4NrKD6V/tA2o6k4cTa7ABgoe1VnRanpC2BTwCfG6XYWg3nM30BYEmXlSWiozs41nOAlVSzjT8CJ9i+r82xjkbbwRqRsSTtTjW7umWE4urNkGOVtAnwZeDjoxDXiMjPeo0e9VLW+n2NvuoMpO1IGk6s1UlpR+A4qlnIaBlOnJ8DTrT9UJnYjbbhxLopsCewG/AwcKWk+bavHNkQ+41jIHV2B9ZQLas9HfiFpJ/ZvnVkQ+w3jtFuO1jDHkvSJOA04HDbT5pBjaDhxPp+4BLbt2+gv1eDlpnc6LkDeE7T678F/tRXnbLcMwG4b4BtR9JwYkXS3wLnA4fZHs1/cQ4nzpcCX5K0DPgI8J+SPtihsd4BXGX7XtsPA5cAu3ZorIcCl9p+zPbdwNXAaP6+4XD+bmzIv1fDGkvSVsDFwKdt/2qEY2s1nFhfDnyw/L06AThM0qyRDW+Y2n1RsK4Pqn+N30p140jjYu6OLXU+wLoX839Ujndk3RtPbmV0bzwYTqwTS/0DOvkzbakzk9G/8WQ4n+nTgQVUN3JsCvwM2K9DY/0E8D2q2cCWwE3Azu2Mtanu93nyjSe3lc/36eV46w6M82nAlcBHRvO/0ZGIteXcEXTgjSdtD6DOD+CNwM1U6+mfKmXHAm8ux2Op7vT7PXA98PdNbT9V2v0WeEOnxgp8muqazKKmxzM7Lc6WPmYyykluBP7830l1g8xS4EudGiswrpTfSJXgPt4Bse5GNTtZCfwZuLGp7XvKe/g98O5OjLP82T/W8ndqaifG2tLHEXRgksvPekVERG3lmlxERNRWklxERNRWklxERNRWklxERNRWklxERNRWklxERNRWklxERNTW/wfw9MrI4bYTQgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xbd3d908>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xb7bf198>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xdb1a5c0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xd81cd68>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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J+xO2f99Ll9OBKyRdW2aAhwPnl3OlNwJb9TPEG4ATgYXAvcAlth8CPglcW2KbY/tHLZ7bY1Sz4U7gf2l9hXPdeVQXZJ3fx9hOAD5W3igcCryvPM/rgC8D4yTVz5GfV5brZwNn2m53rj4iIoaZqvwXvZG0J3CM7Xf0VneIxjsAeJft943EeL0ZP3lLTz7s5KbDaCvfTR0Ro5Gk2ban9VYvN4oYhSR9g+oc79uajiUiIoZfknEf2Z5B9ZGjkRjrwyMxTkREjA6j6pxxRETEWJSZcfTJlE0mMSvnZSMihkVmxhEREQ1LMo6IiGhYknFERETDcs44+qTzgcV0HHt502H0WT53HBEvJJkZR0RENCzJOCIiomFJxhEREQ1LMo6IiGhYr8lY0nJJ8yQtlPRjSeuV/XtKuqw/g0n6VG27Q1K7+/SOOEmLJG3YYv8TbeqfWW7m8IIh6QRJ+zQdR0RErKovM+Mltqfa3hZ4FPjQIMb7VO9VYrjY/oztnzUdR0RErKq/y9Q3AJvUHq8t6SJJt0s6T5U3Srqkq4KkN0m6WNKJwJplln1eKR4n6TRJt0q6WtKapc0MSV+VNFPSryXtVPq4S9LnWwUm6VuSZpW+Plfbv0jS5yTNkdQpaauyf4My5lxJ3wbU7klL+u/S/hpJG7Uof25WLWmapBlley1J35V0SxnnXWX/NpJuLsdigaQtW/T5hKSTJM2W9DNJO5fjco+kd5Y6h0s6pdbmsrJiMa7M3BeW5/zRUv7cbL4c019Jml9iWafd84+IiOHV52QsaRzwRuDS2u7tgaOBrYFXArsCPwf+by1pHQGcYftYVs6yDyllWwL/Y3sb4DFg/1rfz9jeHTgV+BHVjHxb4HBJG7QI8bhyz8jtgD0kbVcre8T2DsC3gGPKvs8Cv7S9fXlOr2jz1NcC5pT215V2fXUc8HPbOwF7AV+StBZwFPA121OBacD9bcadYXtH4HHg88CbgP2AE3oZdyqwie1tbU8BzqgXSloDuAD4F9uvBfYBlnTvRNKR5Q3OrOVPLe7zk46IiP7pSzJeU9I84E/A+sBPa2U3277f9gpgHtBh28A5wHvL+eVdgCva9H2v7XllezbQUSvrSvqdwK22H7K9FLgH2LRFX38naQ4wF9iG6g1Cl4tbjLE7cC6A7cuBP7eJcQVV4qLU361NvVbeDBxbjt8MYAJV0r8B+JSkfwM2s/28RAg8A1xZtjuB62w/W7Y7WtSvuwd4paRvSHoL8Jdu5a8BHrJ9C4Dtv9he1r0T29NtT7M9bdzESb0/24iIGJA+nzMGNgPWYNVzxktr28tZ+Y1eZwDvBQ4GLmz1H30v7etlK7rVW9GtHpI2p5rxvtH2dsDlVImve1/dx3CbuHrSqs0yVh7L+rgC9i+rAVNtv8L2r21/D3gn1Wz0Kkl7t+jz2fLGBmrHoLzx6XoO9XGfG9v2n4HXUr0B+BBwere+1eZ5REREA/q8TG17MfAR4BhJL+ml7oPAg8CngTNrRc/21naA1gWeBBZLehnw1j60mQkcAiDprcBL29RbDei6avo9wC9b1FkE7Fi260vtVwEflqQyzvbl9yuBe2x/nWoFoL6k3h+LgKmSVpO0KbBz6X9DYDXbPwT+HdihW7vbgY0l7VTqryMpX40aEdGQfv0HbHuupPnAQcB9vVQ/D9jI9m21fdOBBWU5+bh+RdpzXPMlzQVupVqivb4PzT4HnF9iuQ74XZt6TwLbSJoNLAYObNPXd1R9dOum2v7/AE6mes6iSp7vKH28V9KzwO/p/RxwO9cD91ItXS8E5pT9mwBnSOp6s/XJeiPbz0g6EPhGuWhuCdV545Yf44qIiOGllSuhQ9xxdZXvXNvfGZYBYkSNn7ylJx92ctNh9FluFBERo4Gk2eXi4h4Ny9JkmUU+CXx8OPqPiIh4MRmWZFw+jhMRERF9kIt2ok+mbDKJWVn6jYgYFrlRRERERMOSjCMiIhqWZBwREdGwnDOOPul8YDEdx17edBiDlo88RcRolJlxREREw5KMIyIiGpZkHBER0bAk44iIiIa9aJKxpOWS5tV+ji37Z0jq9XtBW/Q3VdLbhjjGn5R7PDdC0saSLmpq/IiIaO3FdDV1132Xh8pUYBrwk+4Fklbv4R7Nbdke0uQ+gPEfZOXtICMiYpR40cyM+0LSmyXdIGmOpAslrV327yTpV5LmS7pZ0iSq2xoeWGbZB0o6XtJ0SVcDZ0uaIOkMSZ2S5kraq/R1uKSLJV0p6S5J/1Ubf1G51zCSDpW0oIx5TotYj5d0lqSrS7t3S/qvMt6VXfeF7tbnNEkzyvYetVWCueWexR2SFpbycZK+XPpbIOnDw3nsIyKivRfTzHhNSfNqj//T9gVdD0rC+jSwj+0nJf0b8DFJJwIXAAfavkXSusBTwGeAabb/ubQ/HtgR2M32EkkfB7A9RdJWwNWSXl2GmwpsDywF7pD0Ddv31WLZhup+zrvafkTS+m2e0xbAXsDWwA3A/rY/IekS4O3A//ZwPI4BPmT7+vKm4+lu5UcCmwPb217WKgZJR5Z6jFt3ox6GioiIwXgxJePelqlfT5XUrpcEsAZVgnsN8JDtWwBs/wWg1OnuUttLyvZuwDdKm9sl/RboSsbX2F5c+rkN2Ay4r9bP3sBFth8p7R9tE/MVtp+V1AmMA64s+zuBjh6eK8D1wFcknQdcbPv+bs9pH+DUruX2VjHYng5Mh+p+xr2MFxERA/RiSsa9EfBT2wevslPaDuhronmyW3/tLK1tL+f5x1l9HHMpgO0Vkp613dVmRa3PZaw83TChq6HtEyVdDrwNuFHSPqw6O+5rDBERMczG0jnjG4FdJb0KQNLEsqx8O7CxpJ3K/nUkrQ48DqzTQ38zgUNKm1cDrwDu6GMs1wB/J2mD0r7dMnVfLKJaPgfYv2unpC1sd9o+CZgFbNWt3dXAUeW5DjaGiIgYhBdTMl6z20ebTqwX2n4YOBw4X9ICquS8le1ngAOBb0iaD/yUaoZ5LbB11wVcLcb7JjCuLCFfABxue2mLes9j+1bgC8B1ZcyvDOQJF58DvibpF1Sz8C5HS1pY+l8CXNGt3enA74AFpc57BhFDREQMglaufEa0N37ylp582MlNhzFouVFERIwkSbNt9/pdFy+mmXFERMQLUpJxREREw8bS1dQxCFM2mcSsLPFGRAyLzIwjIiIalmQcERHRsCTjiIiIhuWccfRJ5wOL6Tj28qbDGHXyUamIGAqZGUdERDQsyTgiIqJhScYRERENSzKOiIho2JhMxpKe6Pb4cEmnlO2jJB3aj76eazvaSZom6etNxxEREavK1dTd2D616RiGi+1ZVLdTjIiIUWRMzox7Iul4SceU7RmSTpb0q3I7wp3bNNtY0pWS7pL0X7W+DpbUWdqeVNv/hKT/ljRH0jWSNmoRx5mSviXpWkn3SNpD0ncl/VrSmfW+atsHdJVJ+tuuWyhKmln27SnpsrK9tqQzSnwLJO1PREQ0YqzOjNeUNK/2eH3g0jZ117L915J2B74LbNuizlRge2ApcIekb1DdW/gkYEfgz8DVkva1/b/AWsAc2x+X9Bngs8A/t+j3pcDewDuBHwO7Av8A3CJpqu15Ldp0+QzwN7YfkLRei/J/BxbbngIg6aXdK0g6EjgSYNy6z3u/EBERQ2SszoyX2J7a9UOVuNo5H8D2TGDdNontGtuLbT8N3AZsBuwEzLD9sO1lwHnA7qX+CuCCsn0usFubsX/s6obTncAfbHfaXgHcCnT08hyvB86U9I/AuBbl+wD/0/XA9p+7V7A93fY029PGTZzUy3ARETFQYzUZ94d7eQzVjLjLcqoVBw1ijO79rug2xgpWrmrU2054rkP7KODTwKbAPEkbdOtbPYwbEREjKMm4dwcCSNqNall3cR/b3QTsIWlDSeOAg4HrStlqwAFl+z3ALwcR3x8k/V9JqwH7de2UtIXtm2x/BniEKinXXU1tabzVMnVERIyMsXrOuD/+LOlXwLrA3/e1ke2HJH0SuJZqFvoT2z8qxU8C20iaDSymJPwBOha4DLgPWAisXfZ/SdKWZexrgPnAHrV2nwf+R9JCqtn854CLBxFHREQMkKpTktGKpBnAMeUjQUPZ7xO21+695ugxfvKWnnzYyU2HMerkRhER0RNJs21P661elqkjIiIalmXqHtjec5j6fUHNiiMiYnglGUefTNlkErOyJBsRMSyyTB0REdGwJOOIiIiGJRlHREQ0LOeMo086H1hMx7GXNx3Gi1o+JhUxdmVmHBER0bAk44iIiIYlGUdERDQsyTgiIqJhScb9IGm5pHmSFkr6cZt7G/elnxmSev2u0qEm6ShJh470uBER0bMk4/5ZYnuq7W2BR4EPNR1Qf9g+1fbZTccRERGrSjIeuBuATQBU+VKZMXdKeu6WiJI+UfbNl3RivQNJq0k6S9Lnu3cuaZGkL0q6QdIsSTtIukrS3ZKOKnX2lHRZrc0pkg4v2ydKuk3SAklfLvuOl3RM2X6VpJ+VuOZI2mLoD1FERPRFPmc8AJLGAW8EvlN2vRuYCrwW2BC4RdLMsm9f4HW2n5K0fq2b1YHzgIW2v9BmqPts7yLpq8CZwK7ABOBW4NQe4lsf2A/YyrbbLKefB5xo+xJJE2jxxkzSkcCRAOPW3ajdcBERMUiZGffPmpLmAX8C1gd+WvbvBpxve7ntPwDXATsB+wBn2H4KwPajtb6+Tc+JGODS8rsTuMn247YfBp7u5Xz1X4CngdMlvRt4ql4oaR1gE9uXlLie7oqxzvZ029NsTxs3cVIPw0VExGAkGffPEttTgc2ANVh5zlht6gtwm7JfAXuVWWk7S8vvFbXtrserA8tY9W84AcD2MmBn4IdUM/MrW8QVERGjRJLxANheDHwEOEbSS4CZwIGSxknaCNgduBm4Gvh7SRPhueXjLt8BfgJcKGmgpwt+C2wtabykSVRL50haG5hk+yfA0VTL5fX4/wLcL2nfUn98V4wRETHycs54gGzPlTQfOAg4F9gFmE81E/6E7d8DV0qaCsyS9AxV8v1UrY+vlCR6jqRDbK/oZwz3SfoBsAC4C5hbitYBflRm3QI+2qL5+4BvSzoBeBb4W+Ce/owfERFDQ3a7VdSIlcZP3tKTDzu56TBe1HKjiIgXH0mzbff6vRJZpo6IiGhYknFERETDcs44+mTKJpOYlWXUiIhhkZlxREREw5KMIyIiGpZkHBER0bCcM44+6XxgMR3HXt50GGNOPu4UMTZkZhwREdGwJOOIiIiGJRlHREQ0LMk4IiKiYUnGQ0DScknzJC2UdOFovQOSpHdKOrbpOCIiYlVJxkNjie2ptrcFngGOajqgVmxfavvEpuOIiIhVJRkPvV8ArwKQ9LEyW14o6eiyr0PS7ZLOkrRA0kWtZtKSZkj6qqSZkn4taSdJF0u6S9Lna30trLU5RtLxZfsjkm4rY3y/7Dtc0ill+2WSLpE0v/z89XAfmIiIaC2fMx5CklYH3kp1H+MdgSOA11HdU/gmSdcBfwZeA7zf9vWSvgt8EPhyiy6fsb27pH8BfgTsCDwK3C3pq72Ecyywue2lktZrUf514Drb+0kaB6zd7yccERFDIjPjobGmpHnALOB3wHeA3YBLbD9p+wngYuANpf59tq8v2+eWuq1cWn53Arfafsj2UuAeYNNeYloAnCfpvcCyFuV7A98CsL3c9uLuFSQdKWmWpFnLn3pecUREDJHMjIfGEttT6zskqYf67uVxl6Xl94radtfj1amSbP0N1YTa9tuB3YF3Av8uaZse4mkdpD0dmA4wfvKW7WKMiIhBysx4+MwE9pU0UdJawH5U55MBXiFpl7J9MPDLAY7xB+CvJG0gaTzwDgBJqwGb2r4W+ASwHs9fhr4G+ECpP07SugOMISIiBinJeJjYngOcCdwM3AScbntuKf41cJikBcD6lOXiAYzxLHBC6f8y4PZSNA44V1InMBf4qu3HujX/F2CvUmc20O+Zc0REDA3ZWX0cSZI6gMvKx6BeMMZP3tKTDzu56TDGnNwoIuKFTdJs29N6q5eZcURERMNyAdcIs70IeEHNiiMiYnhlZhwREdGwzIyjT6ZsMolZOX8ZETEsMjOOiIhoWJJxREREw5KMIyIiGpbAoRN6AAALmklEQVRzxtEnnQ8spuPYy5sOI+JFLZ8rH7syM46IiGhYknFERETDkowjIiIalmQcERHRsDGTjCXtJ8mStuqhznqSPjjCcc2Q1OuXiA/RWEdJOnQkxoqIiL4bM8mYlfcNPqhVoaRxVPf9HdFkPJJsn2r77KbjiIiIVY2JZCxpbWBX4P3UkrGkPSVdK+l7QCdwIrCFpHmSviRpsqSZ5fFCSW9o0fdnJN1SyqdLUtk/Q9JJkm6WdGdXW0lrSvq+pAWSLgDWbBPzIklflHSDpFmSdpB0laS7JR1Vi/+yWptTJB1etk+UdFsZ58tl3/GSjinbr5L0M0nzJc2RtMXgj3RERAzEWPmc8b7AlbbvlPSopB1szyllOwPb2r633Gt4W9tTASR9HLjK9hfKzHlii75PsX1CqX8O8A7gx6Vsdds7S3ob8FlgH+ADwFO2t5O0HTCnRZ9d7rO9i6SvAmdSvaGYANwKnNqukaT1gf2ArWxb0notqp0HnGj7EkkTaPHGTNKRwJEA49bdqIcwIyJiMMbEzJhqifr7Zfv75XGXm23f26bdLcARko4Hpth+vEWdvSTdJKkT2BvYplZ2cfk9G+go27sD5wLYXgAs6CHuS8vvTuAm24/bfhh4uk2C7fIX4GngdEnvBp6qF0paB9jE9iUljqdtP9W9E9vTbU+zPW3cxEk9DBcREYPxok/GkjagSpKnS1oE/CtwYNdyMvBku7a2Z1IlzweAc7pf/FRmlN8EDrA9BTiNaubaZWn5vZxVVyHcx/C72q+obXc9Xh1Yxqp/wwkl7mVUM/4fUlYFuvUrIiJi1HjRJ2PgAOBs25vZ7rC9KXAvsFuLuo8D63Q9kLQZ8EfbpwHfAXboVr8r8T5Szksf0Id4ZgKHlP63Bbbrz5Pp5rfA1pLGS5oEvLH0uzYwyfZPgKOBqfVGtv8C3C9p31J/vKRWS/ARETECxsI544OpLsyq+yHwHuCC+k7bf5J0vaSFwBXAQuBfJT0LPAEc2q3+Y5JOo1pGXkS1rN2bbwFnSFoAzANu7vczWjn+fZJ+QLXUfRcwtxStA/yozNwFfLRF8/cB35Z0AvAs8LfAPQONJSIiBk52X1dMYywbP3lLTz7s5KbDiHhRy40iXnwkzbbd63dJjIVl6oiIiFEtyTgiIqJhY+GccQyBKZtMYlaW0CIihkVmxhEREQ1LMo6IiGhYknFERETDcs44+qTzgcV0HHt502FERIyokfq4WWbGERERDUsyjoiIaFiScURERMOSjCMiIhqWZDyKSbKkc2qPV5f0sKTLBtjf6ZK2HroIIyJiKORq6tHtSWBbSWvaXgK8iereygNi+x+GLLKIiBgymRmPflcAXdfWHwyc31Ug6XhJx9QeL5TUIWktSZdLml/2HVjKZ0iaVrbfImlOqXPNCD6fiIjoJsl49Ps+cFC5N/F2wE19aPMW4EHbr7W9LXBlvVDSRsBpwP62X0t1L+PnkXSkpFmSZi1/avGgnkRERLSXZDzK2V4AdFDNin/Sx2adwD6STpL0BtvdM+nrgZm27y1jPNpm7Om2p9meNm7ipIE9gYiI6FWS8QvDpcCXqS1RF8tY9W84AcD2ncCOVEn5PyV9pls7AR6eUCMior+SjF8YvgucYLuz2/5FwA4AknYANi/bGwNP2T6XKonv0K3dDcAekrrqrz98oUdERG9yNfULgO37ga+1KPohcKikecAtwJ1l/xTgS5JWAM8CH+jW38OSjgQulrQa8EeqK7UjIqIBScajmO21W+ybAcwo20uAN7dougi4qkXbPWvbV1BdqR0REQ3LMnVERETDkowjIiIalmXq6JMpm0xi1gjd1zMiYqzJzDgiIqJhScYRERENSzKOiIhoWJJxREREw5KMIyIiGpZkHBER0bAk44iIiIYlGUdERDQsyTgiIqJhsnNb2+idpMeBO5qOowcbAo80HUQPEt/gJL7BGe3xweiPcaDxbWZ7o94q5eswo6/usD2t6SDakTQr8Q1c4hucxDd4oz3G4Y4vy9QRERENSzKOiIhoWJJx9NX0pgPoReIbnMQ3OIlv8EZ7jMMaXy7gioiIaFhmxhEREQ1LMo6IiGhYkvEYJOktku6Q9BtJx7YoHy/pglJ+k6SOWtkny/47JP1NX/scifgkvUnSbEmd5ffetTYzSp/zys9fNRRjh6QltThOrbXZscT+G0lfl6QG4jukFts8SSskTS1lQ3YM+xDf7pLmSFom6YBuZYdJuqv8HFbbP5LHr2V8kqZKukHSrZIWSDqwVnampHtrx2/qSMdXypbXYri0tn/z8lq4q7w21hjp+CTt1e3197SkfUvZSB6/j0m6rfwNr5G0Wa1seF5/tvMzhn6AccDdwCuBNYD5wNbd6nwQOLVsHwRcULa3LvXHA5uXfsb1pc8Rim97YOOyvS3wQK3NDGDaKDiGHcDCNv3eDOwCCLgCeOtIx9etzhTgnqE+hn2MrwPYDjgbOKC2f33gnvL7pWX7pQ0cv3bxvRrYsmxvDDwErFcen1mv28TxK2VPtOn3B8BBZftU4ANNxNftb/0oMLGB47dXbdwPsPLf77C9/jIzHnt2Bn5j+x7bzwDfB97Vrc67gLPK9kXAG8u7vHcB37e91Pa9wG9Kf33pc9jjsz3X9oNl/63ABEnjBxjHsMTYrkNJk4F1bd/g6l/22cC+Dcd3MHD+AGMYVHy2F9leAKzo1vZvgJ/aftT2n4GfAm8Z6ePXLj7bd9q+q2w/CPwR6PXbl0YqvnbK335vqtcCVK+NET9+3RwAXGH7qQHGMZj4rq2NeyPw8rI9bK+/JOOxZxPgvtrj+8u+lnVsLwMWAxv00LYvfY5EfHX7A3NtL63tO6Msb/37YJYwhyDGzSXNlXSdpDfU6t/fS58jFV+XA3l+Mh6KYziY10tPr8GRPH69krQz1czr7truL5Slz68O4o3iYOObIGmWpBu7loCp/vaPldfCQPocyvi6HMTzX39NHL/3U810e2o76NdfkvHY0+o/0O6fb2tXp7/7B2Iw8VWF0jbAScA/1coPsT0FeEP5ed8A4xtsjA8Br7C9PfAx4HuS1u1jnyMRX1UovQ54yvbCWvlQHcPBPNfR8hrsuYNqpnQOcITtrtnfJ4GtgJ2oljn/raH4XuHqax3fA5wsaYsh6LNuqI7fFOCq2u4RP36S3gtMA77US9tBP+ck47HnfmDT2uOXAw+2qyNpdWAS1bmbdm370udIxIeklwOXAIfafm5GYvuB8vtx4HtUS1UDNeAYyxL/n0oss6lmTa8u9V9ea9/YMSyeNysZwmM4mNdLT6/BkTx+bZU3V5cDn7Z9Y9d+2w+5shQ4g2aOX9fyObbvoboOYHuqGyCsV14L/e5zKOMr/g64xPazXTtG+vhJ2gc4DnhnbYVt+F5/gz0Znp8X1g/VzUHuoboAq+vihW261fkQq17c84OyvQ2rXsB1D9XFEL32OULxrVfq79+izw3L9kuozosd1dAx3AgYV7ZfCTwArF8e3wK8npUXgLxtpOMrj1ej+s/llcNxDPvzeqHbRTtUM6J7qS6eeWnZHvHj10N8awDXAEe3qDu5/BZwMnBiA/G9FBhftjcE7qJcvARcyKoXcH1wpOOr7b8R2Kup40f1BuVuysV4I/H66/cTyc8L/wd4G3BnebEdV/adQPUOEGBC+Yf5G6orBOv/KR9X2t1B7WrBVn2OdHzAp4EngXm1n78C1gJmAwuoLuz6GiUhNhDj/iWG+cAc4P/V+pwGLCx9nkL5hrwG/sZ7Ajd2629Ij2Ef4tuJ6g3Bk8CfgFtrbf++xP0bqmXgJo5fy/iA9wLPdnsNTi1lPwc6S4znAms3EN9flxjml9/vr/X5yvJa+E15bYxv6O/bQfUmdbVufY7k8fsZ8Ifa3/DS4X795eswIyIiGpZzxhEREQ1LMo6IiGhYknFERETDkowjIiIalmQcERHRsCTjiIiIhiUZR0RENOz/A9J7QwNQZn2IAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xc14fef0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xda3a2e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "top_k = 10\n",
+    "Y = pd.np.arange(top_k)\n",
+    "bar_width = 0.5\n",
+    "for g_name, g_data in immigrant_pct_data.groupby('group_name'):\n",
+    "    g_data_top_k = g_data.sort_values(count_var_pct, inplace=False, ascending=False).iloc[:top_k, :]\n",
+    "    plt.barh(Y, g_data_top_k.loc[:, count_var_pct])\n",
+    "    plt.yticks(Y, g_data_top_k.loc[:, 'interest_name'])\n",
+    "    plt.title(g_name)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "More Latin American interests for the Central American countries, otherwise standard pop/rock/hip-hop for the rest."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compute assimilation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/analysis/compare_demographic_assimilation.ipynb b/src/analysis/compare_demographic_assimilation.ipynb
new file mode 100644
index 0000000..335fecc
--- /dev/null
+++ b/src/analysis/compare_demographic_assimilation.ipynb
@@ -0,0 +1,5953 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Compare expat subpopulation assimilation\n",
+    "In which we compare rates of expat population assimilation among sub-populations of expats."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 216,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import json\n",
+    "import re\n",
+    "from itertools import izip\n",
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import clean_pop_data, compute_assimilation, norm_demo_combo_data, clean_str, compute_all_expat_scores, norm_pct, assign_region, norm_to_pct, load_top_interests\n",
+    "import os\n",
+    "from ast import literal_eval"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load MX immigrant and MX American data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Load all the demographic query results and clean up to make it easier to subdivide later."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "4600 combined samples\n"
+     ]
+    }
+   ],
+   "source": [
+    "def load_process_demo_data(data_name, shared_interests=None,\n",
+    "                           data_dir='../../data/query_results/', \n",
+    "                           demo_names=['genders', 'age_ranges', 'education', 'region', 'language'],\n",
+    "                           count_var='mau_audience'):\n",
+    "    demo_matcher = re.compile('|'.join(['%s_%s'%(data_name, n) for n in demo_names]))\n",
+    "    data_files = [os.path.join(data_dir, f) for f in os.listdir(data_dir) if demo_matcher.search(f) is not None]\n",
+    "    data_list = [pd.read_csv(f, sep='\\t', index_col=False) for f in data_files]\n",
+    "    data = pd.concat(data_list, axis=0)\n",
+    "    data.fillna('', inplace=True)\n",
+    "    # remove null rows?\n",
+    "    data = data[data.loc[:, 'interests']!='']\n",
+    "    data.loc[:, 'interest_name'] = data.loc[:, 'interests'].apply(lambda x: clean_str(literal_eval(x)['name'][0].decode('unicode-escape')))\n",
+    "    # restrict to valid interests\n",
+    "    if(shared_interests is not None):\n",
+    "        data = data[data.loc[:, 'interest_name'].isin(shared_interests)]\n",
+    "    data = norm_demo_combo_data(data, include_demo_val=True, count_var=count_var, replace_min=True)\n",
+    "    return data\n",
+    "# load interests\n",
+    "# source_data = pd.read_csv('../../data/query_results/MX_native_music.tsv',\n",
+    "#                           sep='\\t', index_col=False)\n",
+    "# source_data = clean_pop_data(source_data, count_var=count_var)\n",
+    "# shared_interests = source_data.loc[:, 'interest_name']\n",
+    "count_var = 'mau_audience'\n",
+    "top_k = 100\n",
+    "top_k_interests = load_top_interests(count_var=count_var, top_k=top_k)\n",
+    "shared_interests = top_k_interests\n",
+    "# load actual data\n",
+    "mx_1_data_name = 'hispanic_MX_music_interests'\n",
+    "data_dir = '../../data/query_results'\n",
+    "mx_1_data = load_process_demo_data(mx_1_data_name, shared_interests=shared_interests,\n",
+    "                                   data_dir=data_dir, count_var=count_var)\n",
+    "mx_2_data_names = ['hispanic_MX_interest_music_demo', 'hispanic_mexican_community_music_interests']\n",
+    "mx_2_data_list = [load_process_demo_data(n, shared_interests=shared_interests, data_dir=data_dir, count_var=count_var) for n in mx_2_data_names]\n",
+    "# add marker for group name\n",
+    "mx_1_group_name = 'Mexican immigrant'\n",
+    "mx_2_group_names = ['Mexican American (interest)', 'Mexican American (community)']\n",
+    "mx_1_data.loc[:, 'group_name'] = 'Mexican immigrant'\n",
+    "mx_2_data_list = [m.assign(group_name=m_group_name) for m, m_group_name in izip(mx_2_data_list, mx_2_group_names)]\n",
+    "mx_combined_data = pd.concat([mx_1_data]+mx_2_data_list, axis=0)\n",
+    "# drop MX community regions\n",
+    "# because we didn't mine separate regions for MX community\n",
+    "mx_combined_data = mx_combined_data[~((mx_combined_data.loc[:, 'demo_val'] == 'West') & \n",
+    "                                      (mx_combined_data.loc[:, 'group_name'] == 'Mexican American (community)'))]\n",
+    "print('%d combined samples'%(mx_combined_data.shape[0]))\n",
+    "# clean interest names\n",
+    "mx_combined_data.loc[:, 'interest_name'] = mx_combined_data.loc[:, 'interest_name'].apply(lambda x: clean_str(x.decode('unicode-escape')))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 202,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "96 zero counts\n"
+     ]
+    }
+   ],
+   "source": [
+    "# zero counts\n",
+    "print('%d zero counts'%(mx_combined_data[mx_combined_data.loc[:, count_var]==mx_combined_data.loc[:, count_var].min()].shape[0]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 203,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "group=Mexican American (community), demo ages=13_18 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo ages=13_18 has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo ages=13_18 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo ages=19_28 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo ages=19_28 has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo ages=19_28 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo ages=29_38 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo ages=29_38 has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo ages=29_38 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo ages=39_48 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo ages=39_48 has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo ages=39_48 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo ages=49_65 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo ages=49_65 has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo ages=49_65 has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo education=Bachelor's degree or more has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo education=Bachelor's degree or more has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo education=High school graduate has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo education=High school graduate has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo education=Less than high school graduate has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo education=Less than high school graduate has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo education=Two-year degree,Some college has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo education=Two-year degree,Some college has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo genders=female has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo genders=female has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo genders=female has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo genders=male has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo genders=male has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo genders=male has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo language=Bilingual has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo language=Bilingual has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo language=Bilingual has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo language=English has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo language=English has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo language=English has 100 counts sum pct 1.000\n",
+      "group=Mexican American (community), demo language=Spanish has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo language=Spanish has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo language=Spanish has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo region=Midwest has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo region=Midwest has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo region=Northeast has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo region=Northeast has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo region=South has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo region=South has 100 counts sum pct 1.000\n",
+      "group=Mexican American (interest), demo region=West has 100 counts sum pct 1.000\n",
+      "group=Mexican immigrant, demo region=West has 100 counts sum pct 1.000\n"
+     ]
+    }
+   ],
+   "source": [
+    "# sanity check: all subgroups have same number of interests\n",
+    "for (d_name, d_val, d_group), d_data in mx_combined_data.groupby(['demo_name', 'demo_val', 'group_name']):\n",
+    "    print('group=%s, demo %s=%s has %d counts sum pct %.3f'%(d_group, d_name, d_val, d_data.shape[0], d_data.loc[:, 'mau_audience_pct'].sum()))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load source and destination data\n",
+    "We assume the source = MX natives, destination = US natives."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dest_data = pd.read_csv('../../data/query_results/US_native_white_music.tsv', sep='\\t', index_col=False)\n",
+    "source_data = pd.read_csv('../../data/query_results/MX_native_music.tsv',\n",
+    "                          sep='\\t', index_col=False)\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "dest_pct = norm_to_pct(dest_data, shared_interests=shared_interests, count_var=count_var, replace_min=True)\n",
+    "source_pct = norm_to_pct(source_data, shared_interests=shared_interests, count_var=count_var, replace_min=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compute assimilation metrics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 217,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "utils.py:381: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  expat_pct = d_data.loc[:, count_var_pct]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>assim_score</th>\n",
+       "      <th>demo_name</th>\n",
+       "      <th>demo_val</th>\n",
+       "      <th>group_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1970s in music</th>\n",
+       "      <td>0.000327</td>\n",
+       "      <td>ages</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Mexican American (community)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1990s in music</th>\n",
+       "      <td>0.528383</td>\n",
+       "      <td>ages</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Mexican American (community)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Adult contemporary music</th>\n",
+       "      <td>0.000377</td>\n",
+       "      <td>ages</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Mexican American (community)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Alternative country</th>\n",
+       "      <td>0.000223</td>\n",
+       "      <td>ages</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Mexican American (community)</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Alternative metal</th>\n",
+       "      <td>0.619143</td>\n",
+       "      <td>ages</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Mexican American (community)</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          assim_score demo_name demo_val  \\\n",
+       "1970s in music               0.000327      ages    13_18   \n",
+       "1990s in music               0.528383      ages    13_18   \n",
+       "Adult contemporary music     0.000377      ages    13_18   \n",
+       "Alternative country          0.000223      ages    13_18   \n",
+       "Alternative metal            0.619143      ages    13_18   \n",
+       "\n",
+       "                                            group_name  \n",
+       "1970s in music            Mexican American (community)  \n",
+       "1990s in music            Mexican American (community)  \n",
+       "Adult contemporary music  Mexican American (community)  \n",
+       "Alternative country       Mexican American (community)  \n",
+       "Alternative metal         Mexican American (community)  "
+      ]
+     },
+     "execution_count": 217,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_dest_pct = 50\n",
+    "mx_combined_assim = []\n",
+    "for g_name, g_data in mx_combined_data.groupby('group_name'):\n",
+    "    mx_scores = compute_all_expat_scores(source_pct, dest_pct, g_data,\n",
+    "                                         top_dest_pct=top_dest_pct)\n",
+    "    mx_scores.loc[:, 'group_name'] = g_name\n",
+    "    mx_combined_assim.append(mx_scores)\n",
+    "mx_combined_assim = pd.concat(mx_combined_assim, axis=0)\n",
+    "mx_combined_assim.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot demographic distributions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 206,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from __future__ import division\n",
+    "import numpy as np\n",
+    "from itertools import izip\n",
+    "from math import ceil\n",
+    "def plot_demo_combo_scores(expat_scores, boxplot=False):\n",
+    "    cols = 2\n",
+    "    rows = int(ceil(expat_scores.loc[:, 'demo_name'].nunique() / cols))\n",
+    "    f, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(cols*4,rows*3))\n",
+    "    tick_size = 10\n",
+    "    title_size = 12\n",
+    "    for i, (d_name, d_data) in enumerate(expat_scores.groupby('demo_name')):\n",
+    "        r = int(i / cols)\n",
+    "        c = i % cols\n",
+    "        ax = axs[r, c]\n",
+    "        d_demo_vals = list(d_data.groupby('demo_val').apply(lambda x: x.loc[:, 'demo_val'].values[0]))\n",
+    "#         d_scores = list(d_data.groupby('demo_val').apply(lambda x: x.loc[:, 'assim_score'].values))\n",
+    "        # log scores\n",
+    "        d_scores = list(d_data.groupby('demo_val').apply(lambda x: np.log(x.loc[:, 'assim_score'].values)))        \n",
+    "        # compute medians to plot nearby\n",
+    "        d_score_medians = [np.median(x) for x in d_scores]\n",
+    "        d_score_median_str = ['%.3f'%(x) for x in d_score_medians]\n",
+    "        Y = np.arange(len(d_demo_vals))+1\n",
+    "        X = np.repeat(1.1, len(d_demo_vals))\n",
+    "        if(boxplot):\n",
+    "            ax.boxplot(d_scores, vert=False)\n",
+    "            for x, y, z in izip(X, Y/len(d_demo_vals)-0.1, d_score_median_str):\n",
+    "                ax.text(x, y, z, \n",
+    "                        horizontalalignment='center',\n",
+    "                        verticalalignment='center',\n",
+    "                        transform=ax.transAxes)\n",
+    "        # medians with err\n",
+    "        else:\n",
+    "            med_color = 'b'\n",
+    "            med_errs = [1.257*np.std(d) / len(d)**.5 for d in d_scores]\n",
+    "            ax.scatter(d_score_medians, Y, color=med_color)\n",
+    "            ax.errorbar(d_score_medians, Y, xerr=med_errs, fmt='none')\n",
+    "        ax.set_yticks(Y)\n",
+    "        ax.set_yticklabels(d_demo_vals, fontsize=tick_size)\n",
+    "#         ax.set_xscale('log')\n",
+    "        ax.set_title('Assimilation scores by %s'%(d_name), fontsize=title_size)\n",
+    "    # clean extra axes\n",
+    "    if(i < cols*rows-1):\n",
+    "        for j in range(i+1, cols*rows):\n",
+    "            r = int(j / cols)\n",
+    "            c = j % cols\n",
+    "            f.delaxes(axs[r, c])\n",
+    "    plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 218,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e11d860>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x12969978>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1b071be0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "title_size = 18\n",
+    "for g_name, g_data in mx_combined_assim.groupby('group_name'):\n",
+    "    plot_demo_combo_scores(g_data, boxplot=False)\n",
+    "    plt.suptitle(g_name, fontsize=title_size, y=1.05)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Why are the younger kids doing so badly now??"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>expat_pct</th>\n",
+       "      <th>mau_audience_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Music</td>\n",
+       "      <td>0.121661</td>\n",
+       "      <td>0.095313</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Arts and music</td>\n",
+       "      <td>0.085162</td>\n",
+       "      <td>0.079428</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Hip hop music</td>\n",
+       "      <td>0.049678</td>\n",
+       "      <td>0.031771</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Pop music</td>\n",
+       "      <td>0.048664</td>\n",
+       "      <td>0.047657</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Rock music</td>\n",
+       "      <td>0.043595</td>\n",
+       "      <td>0.044126</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    interest_name  expat_pct  mau_audience_pct\n",
+       "0           Music   0.121661          0.095313\n",
+       "1  Arts and music   0.085162          0.079428\n",
+       "2   Hip hop music   0.049678          0.031771\n",
+       "3       Pop music   0.048664          0.047657\n",
+       "4      Rock music   0.043595          0.044126"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Southern hip hop              1.167261\n",
+      "Midwest hip hop               1.010607\n",
+      "Gangsta rap                   0.881396\n",
+      "Nu metal                     -0.282161\n",
+      "Arts and music               -0.325333\n",
+      "Alternative rock             -0.330951\n",
+      "Rock music                   -0.395832\n",
+      "American rock                -0.452648\n",
+      "Beat (music)                 -0.479677\n",
+      "Progressive rock             -0.493470\n",
+      "Christian rock               -0.493470\n",
+      "Alternative metal            -0.542260\n",
+      "Sampling (music)             -0.542260\n",
+      "Free jazz                    -0.560161\n",
+      "Rock and roll                -0.636571\n",
+      "Grunge                       -0.680682\n",
+      "Hook (music)                 -0.841777\n",
+      "Blues music                  -0.898935\n",
+      "Lounge music                 -0.898935\n",
+      "1990s in music               -0.942164\n",
+      "Psychedelic rock             -0.945455\n",
+      "Blues rock                   -0.978978\n",
+      "Drone music                  -1.040014\n",
+      "Hard rock                    -1.050816\n",
+      "Swing music                  -1.058784\n",
+      "Beautiful music              -1.091307\n",
+      "Country music                -1.186617\n",
+      "Contemporary worship music   -1.186617\n",
+      "Traditional pop music        -1.393232\n",
+      "Roots rock                   -1.452320\n",
+      "Southern soul                -1.638602\n",
+      "Tonic (music)                -1.804415\n",
+      "Western swing                -1.815226\n",
+      "Alternative country          -1.844046\n",
+      "American folk music          -2.067817\n",
+      "Appalachian music            -2.182951\n",
+      "Bluegrass music              -2.323451\n",
+      "1970s in music               -2.731517\n",
+      "Organ (music)                -9.389100\n",
+      "Adult contemporary music     -9.966175\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "test_demo_val = '13_18'\n",
+    "test_group_name = 'Mexican immigrant'\n",
+    "test_data_1 = mx_combined_data[(mx_combined_data.loc[:, 'demo_val']==test_demo_val) & \n",
+    "                         (mx_combined_data.loc[:, 'group_name']==test_group_name)].sort_values('mau_audience_pct', inplace=False, ascending=False).loc[:, ['interest_name', 'mau_audience_pct']]\n",
+    "test_data_1.rename(columns={'mau_audience_pct' : 'expat_pct'}, inplace=True)\n",
+    "test_data_1 = pd.merge(test_data_1, pd.DataFrame(source_pct).assign(interest_name=source_pct.index),\n",
+    "                       on='interest_name')\n",
+    "display(test_data_1.head())\n",
+    "test_pct_1 = test_data_1.loc[:, 'expat_pct']\n",
+    "test_pct_1.index = test_data_1.loc[:, 'interest_name']\n",
+    "test_assim = compute_assimilation(source_pct, dest_pct, test_pct_1,\n",
+    "                                  TOP_DEST_PCT=25, score_type='/')\n",
+    "print(pd.np.log(test_assim.sort_values(inplace=False, ascending=False)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The \"most assimilated\" interests are more African American and the under-assimilated interests are definitely more white (`Bluegrass music`)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Median difference testing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Are these differences significant?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 220,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from scipy.stats import kruskal, f_oneway\n",
+    "def test_score_significance(scores):\n",
+    "    scores.loc[:, 'assim_score_log'] = scores.loc[:, 'assim_score'].apply(pd.np.log)\n",
+    "    for d_name, d_data in scores.groupby('demo_name'):\n",
+    "        d_demo_vals = list(d_data.groupby('demo_val').apply(lambda x: x.loc[:, 'demo_val'].unique()[0]))\n",
+    "        d_scores = list(d_data.groupby('demo_val').apply(lambda x: x.loc[:, 'assim_score_log'].values))\n",
+    "#         d_scores = list(d_data.groupby('demo_val').apply(lambda x: np.log(x.loc[:, 'assim_score'].values)))\n",
+    "        test_stat, p_val = kruskal(*d_scores)\n",
+    "        print('demo %s has difference in medians stat=%.3f (p=%.3f)'%(d_name, test_stat, p_val))\n",
+    "        # also pairwise testing between demo val groups\n",
+    "        conf_bound = 0.05 / (len(d_demo_vals)*(len(d_demo_vals)-1)/2)\n",
+    "        for i in range(len(d_demo_vals)):\n",
+    "            for j in range(i, len(d_demo_vals)):\n",
+    "                test_stat_ij, p_val_ij = kruskal(d_scores[i], d_scores[j])\n",
+    "                d_diff_ij = pd.np.median(d_scores[i]) - pd.np.median(d_scores[j])\n",
+    "                if(p_val_ij < conf_bound):\n",
+    "                    print('%s vs. %s have difference in medians %.3E; stat=%.3f (p=%.3f)'%\n",
+    "                          (d_demo_vals[i], d_demo_vals[j], d_diff_ij, test_stat_ij, p_val_ij))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 224,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "**testing group Mexican American (community)**\n",
+      "demo ages has difference in medians stat=49.026 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -6.590E-01; stat=15.730 (p=0.000)\n",
+      "13_18 vs. 39_48 have difference in medians -8.955E-01; stat=24.985 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -9.902E-01; stat=24.173 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -6.729E-01; stat=14.579 (p=0.000)\n",
+      "19_28 vs. 49_65 have difference in medians -7.676E-01; stat=17.325 (p=0.000)\n",
+      "29_38 vs. 49_65 have difference in medians -3.312E-01; stat=8.131 (p=0.004)\n",
+      "demo genders has difference in medians stat=2.080 (p=0.149)\n",
+      "demo language has difference in medians stat=19.336 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -4.211E-01; stat=11.066 (p=0.001)\n",
+      "English vs. Spanish have difference in medians 9.812E-01; stat=14.579 (p=0.000)\n",
+      "**testing group Mexican American (interest)**\n",
+      "demo ages has difference in medians stat=44.129 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -5.524E-01; stat=10.634 (p=0.001)\n",
+      "13_18 vs. 39_48 have difference in medians -8.331E-01; stat=17.053 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -9.779E-01; stat=26.814 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -5.301E-01; stat=12.183 (p=0.000)\n",
+      "19_28 vs. 49_65 have difference in medians -6.749E-01; stat=20.753 (p=0.000)\n",
+      "29_38 vs. 49_65 have difference in medians -4.255E-01; stat=10.211 (p=0.001)\n",
+      "demo education has difference in medians stat=5.476 (p=0.140)\n",
+      "demo genders has difference in medians stat=0.520 (p=0.471)\n",
+      "demo language has difference in medians stat=21.314 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -4.344E-01; stat=12.183 (p=0.000)\n",
+      "English vs. Spanish have difference in medians 8.575E-01; stat=16.783 (p=0.000)\n",
+      "demo region has difference in medians stat=0.413 (p=0.938)\n",
+      "**testing group Mexican immigrant**\n",
+      "demo ages has difference in medians stat=21.608 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -5.585E-01; stat=10.850 (p=0.001)\n",
+      "13_18 vs. 39_48 have difference in medians -6.842E-01; stat=15.212 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -7.193E-01; stat=9.291 (p=0.002)\n",
+      "demo education has difference in medians stat=7.565 (p=0.056)\n",
+      "demo genders has difference in medians stat=0.368 (p=0.544)\n",
+      "demo language has difference in medians stat=17.568 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -4.660E-01; stat=9.899 (p=0.002)\n",
+      "English vs. Spanish have difference in medians 1.001E+00; stat=12.645 (p=0.000)\n",
+      "demo region has difference in medians stat=6.951 (p=0.073)\n"
+     ]
+    }
+   ],
+   "source": [
+    "for g_name, g_data in mx_combined_assim.groupby('group_name'):\n",
+    "    print('**testing group %s**'%(g_name))\n",
+    "    test_score_significance(g_data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Test top_dest_pct"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's try different cutoff points and see if that changes the distributions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 222,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "testing dest pct=10\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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1Wz5f9C8+X/ScpGXaHUM1JzutdQhwM3A2sFg3rqQ9JP1T0guSHpd0bF6+pqQ/SnpW0jOSbpA0KK97rStU0lhJF0s6L9dxl6Q3STpR0lOSHpW0S2F/kyV9ulaQkk7J5Z+XNE3Sjnn5bsDXgP0lzZV0R3VdkgZJ+rqkGXm/50haJa/rkBSSDpX0iKQ5ksbUa6x6bZLX7SXp9hzjgzk2JK0naWJuqwckfaawzVhJl+Q2eh44LMd7Qq7jaUkXSVo9lx+Syz6d2/9WSWs3eHzfmeP9j6SzJA3J9dwt6aOFOJbNxz6ixjGvlh/v2bmeP0raoLB+Y0nX5za5WtIvJJ1XWL+9pL/neO8oDlvkbuiH8rYPSxrV4Fis/Xy+8Pmi4fkir/+qpFmSZkr6dG6zTfO65SX9KLffk5JOk7RCXreTpMckfSW3/SxJhxfqXSO3zfOSbgE2qdrv5pKuym13v6RPFNadLelXkv4s6UVg50aPT1tEhC8tugAPAMcA7wDmA2sX1s0Cdsy3VwPenm+fDJwGLJsvOwLK66YDH8y3xwLzgF1Jw5HnAA8DY/J2nwEeLuxvMvDpfPsw4G+FdQcBa+R6vgI8AQwp7Oe8quMq1vWpfJxvBFYCLgXOzes6SJ9Sfw2sQOqefwXYok571WuTbYHngA+REvT1gc3zuuuAXwJDgBHAbOADhdjnA3vn7VYA/of0hrIBsDxwOnBBLn8k8AdgKLBMftxWrhPrdOBuYENgdeBG4Lt53VeBCYWyewF31alnDWCfvM9hwMXA5YX1NwE/ApYD3gM8X3k8cjs8DeyRj+9D+f5awIq57Jtz2XWBrdr9mvDF5wt8vujN+WK33N5b5f2em9ts07z+Z8DEvI9hOb6T87qdgFeBb+fHfA/gJWC1vP5C4CLSuWNr4PHK456XPQocnh/3twNzyOcUUoL+HPDu3HZD6j0+bXt9tfsFXtYL6Y1pPrBmvn8f8KXC+kfyi2Xlqu2+Dfy+8uStWjedxU9eVxXWfRSYCyyT7w/LL4JV8/3J1Dl51djPf4BtCvtpdPL6K3BMYd2b83EPZtHJa4PC+luAA+rst16bnA78tEb5DYEFwLDCspOBswuxX1+1zb3kk1u+v24h3k8Bfwfe2o3HdzpwVOH+HsCD+fZ6wAuV4wAuAb7azefNCOA/+fZGpJPT0ML681iU7BxPfqMorJ9E6hVYEXiWlEit0O7Xgy9dPu4+X/h80eX5AjiTnLzk+5vmNtsUEPAisElh/Q7kJJaU7LwMDC6sfwrYnpSszScnhXnd91iU7OwP3FCjnU/Kt88GzunO49Oui4exWudQ4MqImJPvn8/iXdP7kJ7wMyRdJ2mHvPyHpE8+VyoNQZzQYB9PFm6/DMyJiAWF+5A+PTWUuzXvlfScpGeBVYA1u9ouWw+YUbg/g3QiKHbnPlG4/VKDmOq1yYbAg3X2/UxEvFC1//UL9x+t2mY4cFnudn6WdDJbkOM9l5QsXJi7iH8gadk6sVbXPSPHQ0TMJH1y20fSqsDuQGetCiQNlXR67tZ/HrgeWFVpzLtyfC/V2edwYL/KseTjeQ+wbkS8SDpBHQXMkvQnSZs3OBZrL58vFvH5os75Im9TrKd4ey1Sb8+0Qrx/ycsrno6IVwv3K+27FulxqI6xYjiwXdW5ZhSwTp1YoP7j0xZOdlogj5F+AnifpCckPQF8CdhG0jYAEXFrROwFvAG4nNR9SES8EBFfiYg3kj59fVnSB1oY646kHoJPkLozVyV1RyoXiS6qmEl6IVRUeiOerF28vnptQnoRbVJjk5nA6pKGVe3/8WK1Vds8CuweEasWLkMi4vGImB8R34qILYF3AR8hzaOoZ8Oq/c4s3P8tqbt/P+CmiCjGVPQV0qfb7SJiZeC9eblI3cCrSxpaZ5+Pknp2iseyYkT8L0BETIqID5E+jd5HGh6wfsbnC58v6P75YhZpSK1WnXNISetWhVhXiYguE1jScN6rNWKseBS4rqodVoqIowtlFmu7Bo9PWzjZaY29Sdn/lqRhiRHAFsANwCGSlpM0StIqETGfNLdiAYCkj0jaVJIKyxfU2kmTDCM9yWcDgyV9E1i5sP5JoEN50mMNFwBfUppIuxKp63NC1aeHLjVqE+AM4HBJH1CaMLi+pM0j4lFSN/LJSpMF3wocQf1PRZDmN4yTNDzvdy1Je+XbO0t6S+5VeZ7Urduo7T8raQOlCYtfAyYU1l1OGtf+Iml+RD3DSCeoZ3M9J1VWRMQMYCowNrfPDqQ3tIrzgI9K2lXSMrkNdsoxrS1pT0krkuY9zO3iWKx9fL7w+aK754uL8rFtkT8EfbOyIiIWkj7Q/FTSG3KM60vatUF9lW0XkOZPjVXqbd6SxXsW/wi8SdLBShOol5X0Tklb1Kqvi8enLZzstMahwFkR8UhEPFG5AD8ndf0BHAxMVxq6OIqU1QNsBlxNenO6CfhlRExuYayTgCuAf5G6LeexeHfkxfn6aUn/qLH9maTu3OtJEx7nAZ/vYSw12yQibiFNjPsp6VPkdSz6dHggaax/JnAZaQz5qgb7OIU0ge9KSS+QJh9ul9etQxovf57UXX0dKaGo53zgSuChfPluZUVEvAz8DtiYdBKp52ekiZBzcix/qVo/ijTu/nSufwIpeSGfvPcinThnkx6340iv60GkXqOZwDPA+0iTX63/8fmiZwbc+SIirgBOBa4lDV/elFdVfpPp+Lz85twuV5N6jrvjc6QhrSdIc3DOKuz3BWAX4ABS2z0BfJ80abuees/ZtqjM2jezJsufet8UhR9Ya0KdE4D7IuKkLgub2VKjJ+eL3LNyN7D8kvaODTTu2TFrgdxVfQQwvpf1vFPSJrk7fjdST87lzYjRzPqHJTlfSPpYHiZajdS78gcnOl1zsmPWZEo/VPYocEVEXN/L6tYhfXV3Lqn7+uiIuK2XdZpZP9GD88WRpGHrB0nzYI5uXNzAw1hmZmZWcu7ZMTMzs1IbMH90tuaaa0ZHR0e7wzAbUKZNmzYnItbquuTSyecVs77Xk/PKgEl2Ojo6mDp1arvDMBtQJM3outTSy+cVs77Xk/OKh7HMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpdbSZCf/OeFtkv6Y779f0j8k3S3pt5IaTpDOf2p4u6R7JF1XWD5d0l15nWcHWml0dkJHBwwalK47G/1FoZmZdUure3a+SPqDNPK/4P4WOCAitib9idyh9TaUtCrwS2DPiNgK2K+qyM4RMSIiRrYkcrM+1tkJo0fDjBkQka5Hj3bC00r5A9Uf2x2HmbVWy756LmkD4MPAOODLwBrAKxHxr1zkKuBE4Iw6VXwSuDQiHgGIiKdaFasNXPufflPXhfrIlCkwbC8YVrV8zF9h4ty2hPQ6E47cod0h2ADR2QljxsAjj8BGG8G4cTBqVNfbmdXSyp6dnwFfBRbm+3OAZSVVemL2BTZssP2bgNUkTZY0TdIhhXUBXJmXj65XgaTRkqZKmjp79uyeH4lZH5g3b8mWWyKpQ9J9kn6Th8g7JX1Q0o2S/i1p23z5ex5W/7ukN9eoZ0VJZ0q6NZfbqx3HY+7ltOZrSc+OpI8AT0XENEk7AURESDoA+Kmk5YErgUb/1DoYeAfwAWAF4CZJN+eeoXdHxExJbwCuknRfrT9Qi4jx5H+RHTlypP8EzF6nP/VUdJycTurVhg+HCef3fTxLmU1JQ92jgVtJPcPvAfYEvgYcArw3Il6V9EHge8A+VXWMAa6JiE/lYfRbJF0dES/2Nrj+1IO4NFgaejmXBv3p/NZurerZeTewp6TpwIXA+yWdFxE3RcSOEbEtcD3w7wZ1PAb8JSJejIg5ufw2ABExM18/BVwGbNui4zDrM+PGwdChiy8bOjQtty49HBF3RcRC4B7gr5H+5fguoANYBbhY0t3AT4GtatSxC3CCpNtJ/zQ/BNioupB7jFvPvZzWbC3p2YmIE0nzccg9O8dGxEGS3hART+WeneNJ83nq+T3w8/yNreWA7Ui9QisCgyLihXx7F+DbrTgOs75UmY/geQo98krh9sLC/YWk89x3gGsj4mOSOkjJTDUB+0TE/Y121JMeY3/CXjLu5bRm6+vf2TlO0r3AncAfIuKaegUj4l7gL7nsLcBvIuJuYG3gb5LuyMv/FBF/aX3oZq03ahRMnw4LF6ZrJzpNswrweL59WJ0yk4DPSxKApLf1QVxWg3s5rdla/kegETGZ/CkqIo4DjluCbX8I/LBq2UPk4Swzs276AfBbSV8G6n3I+g7pixV35oRnOvCRvgnPitzLac2mNKxdfiNHjgz/O7FZ35I0rcy/heXzilnf68l5peU9O12RdDjpxweLboyIz7YjHjMzMyuXtic7EXEWcFa74zAzM7Ny8h+BmpmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWam1JNmRNETSLZLukHSPpG/l5e+X9A9Jd0v6raTB3ajrnZIWSNq3sOwHud57JZ0qSa04DrN26OyEjg4YNChdd3a2OyIzs6Vbq3p2XgHeHxHbACOA3SS9C/gtcEBEbA3MAA5tVImkZYDvA5MKy94FvBt4K7A18E7gfa04CLO+1tkJo0fDjBkQka5Hj3bCY2bWG132rPRERAQwN99dNl8WAK9ExL/y8quAE4EzGlT1eeB3pITmteqBIcBygHLdTzYteBsw9j/9pnaH8DpTpsCwvWBY1fIxf4WJc2tu0hYTjtyh3SGYmXVby+bsSFpG0u3AU6TE5hZgWUkjc5F9gQ0bbL8+8DHgtOLyiLgJuBaYlS+TIuLeOnWMljRV0tTZs2f39pDMWm7evCVbbmZmXWtJzw5ARCwARkhaFbgM2Ao4APippOWBK4FXG1TxM+D4iFhQnJIjaVNgC2CDvOgqSe+NiOtrxDAeGA8wcuTI6P1RWZn0x96JjpPT0FW14cNhwvl9H4+ZWRm0/NtYEfEsMBnYLSJuiogdI2Jb4Hrg3w02HQlcKGk6qRfol5L2JvX23BwRcyNiLnAFsH0rj8Gsr4wbB0OHLr5s6NC03MzMeqZV38ZaK/foIGkF4IPAfZLekJctDxxP1RBVUURsHBEdEdEBXAIcExGXA48A75M0WNKypMnJNYexzJY2o0bB+PGpJ0dK1+PHp+VmZtYzrRrGWhf4bf421SDgooj4o6QfSvpIXvariLimB3VfArwfuIs0WfkvEfGHZgVu1m6jRjm5MTNrplZ9G+tO4G01lh8HHNeD+g4r3F4AHNmb+MzMzGzg8C8om5mZWam17NtY3SXpcOCLVYtvjIjPtiMeMzMzK5e2JzsRcRZwVrvjMDMzs3LyMJaZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzK7WWJDuSNpR0raR7Jd0j6Yt5+TaSbpJ0l6Q/SFq5QR3bSro9X+6Q9LHCui/leu+WdIGkIa04DrN6OjuhowMGDUrXnZ3tjsjMzOppVc/Oq8BXImILYHvgs5K2BH4DnBARbwEuA45rUMfdwMiIGAHsBpwuabCk9YEv5HVbA8sAB7ToOMxep7MTRo+GGTMgIl2PHu2Ex8ysvxrcikojYhYwK99+QdK9wPrAm4Hrc7GrgEnAN+rU8VLh7hAgCvcHAytImg8MBWY29QCsz+1/+k3tDqHbpkyBYXvBsKrlY/4KE+e2JaQlNuHIHdodgplZn2n5nB1JHcDbgCmk3po986r9gA272HY7SfcAdwFHRcSrEfE48CPgEVJC9VwQ0AFAAAAgAElEQVREXFln+9GSpkqaOnv27GYcjhnz5i3ZcjMzay9FRNelelq5tBJwHTAuIi6VtDlwKrAGMBH4QkSs0Y16tgB+C7wXWAH4HbA/8CxwMXBJRJzXqI6RI0fG1KlTe3M4ZkCaozNjxuuXDx8O06f3dTT9m6RpETGy3XG0is8rZn2vJ+eVlvXsSFqWlJR0RsSlABFxX0TsEhHvAC4AHuxOXRFxL/AisDXwQeDhiJgdEfOBS4F3teIYzGoZNw6GDl182dChabmZmfU/rfo2loAzgHsj4ieF5W/I14OArwOnNahjY0mD8+3hpPk+00nDV9tLGpr38wHg3lYch1kto0bB+PGpJ0dK1+PHp+VmZtb/tGSCMvBu4GDgLkm352VfAzaT9Nl8/1LgrAZ1vAc4IU9CXggcExFzgDmSLgH+QfrW123A+BYcg1ldo0Y5uTEzW1q06ttYfwNUZ/Up3azjXODcOutOAk7qWXRmZmY2kPgXlM3MzKzUWjWM1W2SdgW+X7X44Yj4WK3yZmZmZkui7clOREwi/bigmZmZWdN5GMvMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKrWXJjqQzJT0l6e7Csm0k3STpLkl/kLRyg+0/JGlaLjtN0vsL6w7My++U9BdJa7bqOKwcOjuhowMGDUrXnZ3tjsjMzPpKK3t2zgZ2q1r2G+CEiHgLcBlwXIPt5wAfzWUPBc4FkDQYOAXYOSLeCtwJfK65oVuZdHbC6NEwYwZEpOvRo53wmJkNFINbVXFEXC+po2rxm4Hr8+2rgEnAN+psf1vh7j3AEEnLAwsBAStKehpYGXigeZFbf7L/6Tf1uo4pU2DYXjCsavmYv8LEuT2vd8KRO/QqLjMz6xt9PWfnbmDPfHs/YMNubrcPcFtEvBIR84GjgbuAmcCWwBm1NpI0WtJUSVNnz57du8htqTVv3pItNzOzcmlZz04dnwJOlfRNYCLw3642kLQV8H1gl3x/WVKy8zbgIeD/gBOB71ZvGxHjgfEAI0eOjOYcgvWlZvSedJychq6qDR8OE87vdfVmZtbP9WnPTkTcFxG7RMQ7gAuABxuVl7QBaW7PIRFRKTsi1/VgRARwEfCuFoZtS7lx42Do0MWXDR2alpuZWfn1abIj6Q35ehDwdeC0BmVXBf4EnBgRNxZWPQ5sKWmtfP9DwL2tidjKYNQoGD8+9eRI6Xr8+LTczMzKr2XDWJIuAHYC1pT0GHASsJKkz+YilwJnNajic8CmwDckVSYx7xIRMyV9C7he0nxgBnBYCw7BSmTUKCc3ZmYDVSu/jXVgnVWndHP771JjHk5edxoNeoXMzMzMKvwLymZmZlZqff1trNeRtCvp21ZFD0fEx9oRj5mZmZVL25OdiJhE+nFBMzMzs6bzMJaZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8zMzErNyY6ZmZmVmpMdMzMzKzUnO2ZmZlZqTnbMzMys1JzsmJmZWak52TEzM7NSc7JjZmZmpeZkx8z6LUlfkHSvpM4W1T9W0rGtqNvM+g8nO2bWnx0D7BERo9odiFl/0NkJHR0waFC67mzJx4DyGdzuAMzMapF0GvBGYKKkC4FNgLeQzltjI+L3kg4D9gaWAbYGfgwsBxwMvEJKlJ6R9BlgdF73AHBwRLxUtb9NgF8AawEvAZ+JiPtafqBm3dTZCaNHw0v5mTtjRroPMMofBxpqWbIj6UzgI8BTEbF1XvYdYC9gIfAUcFhEzKyz/ebAWcDbgTER8aPCui8BnwYCuAs4PCLmtepYrHk6O2HMGHjkEdhoIxg3zi9Sqy0ijpK0G7Az8GXgmoj4lKRVgVskXZ2Lbg28DRhCSmSOj4i3SfopcAjwM+DSiPg1gKTvAkcA/1e1y/HAURHxb0nbAb8E3t/ao7RW2//0m9odQtNMmQLD9oJhVcvH/BUmzm1LSE014cgdWlZ3K4exzgZ2q1r2w4h4a0SMAP4IfLPB9s8AXwB+VFwoaf28fGROopYBDmhW0NY6lU8lM2ZAxKJPJe6GtW7YBThB0u3AZFJis1Fed21EvBARs4HngD/k5XcBHfn21pJukHQXMArYqli5pJWAdwEX532cDqxbKxBJoyVNlTR19uzZzTo+sy7Nq/ORvt5yW6RlPTsRcb2kjqplzxfurkjqmam3/VPAU5I+XGP1YGAFSfOBoUDN3qGeKNOngP6m7J9K+qNWflLqYwL2iYj7F1uYemBeKSxaWLi/kEXnuLOBvSPijjz0tVNV/YOAZ/MHsYYiYjypF4iRI0fWPYdZ/1Ci1wAdJ6cPidWGD4cJ5/d9PEuTPp+gLGmcpEdJn64a9ezUFBGPk3p7HgFmAc9FxJV19uVPYP2IP5VYL0wCPi9JAJLetoTbDwNmSVqWdO5ZTP4g9rCk/XL9krRNL2M2a6px42Do0MWXDR2alltjfT5BOSLGAGMknQh8DjhpSbaXtBpp3s/GwLOkbueDIuK8Gvta4k9gZfoU0N/4U4n1wndIc2/uzAnPdNKcwO76BjAFmEEa3qruYISUBP1K0teBZYELgTt6EbNZU1XmN3re45JTROt6YfMw1h8rE5Sr1g0H/lRrXVW5scDcygTl/Mlrt4g4It8/BNg+Io5pVM/IkSNj6tSpPTkMa5LqbxJA+lQyfrxfrGUlaVpEjGx3HK3i84pZ3+vJeaVPh7EkbVa4uyfQk691PgJsL2lo/oT3AeDeZsRnrTVqVEpshg8HKV070TEzs1Zr5VfPLyBNAlxT0mOk4ao9JL2ZNHFwBnBUg+3XAaYCKwMLJf0PsGVETJF0CfAP4FXgNvJQlfV/o0Y5uTEzs77Vym9jHVhj8RlLsP0TwAZ11p3EEs71MTMzs4HJfxdhZmZmpdb2v4uQdDjwxarFN0bEZ9sRj5mZmZVLS7+N1Z9Imk2aJ7Sk1gTmNDmc3upvMfW3eMAxdVerYxoeEWu1sP62kTQaGEfPziut0J+eX/0pFnA8jfSnWKB78SzxeWXAJDs9JWlqf/vqbH+Lqb/FA46pu/pjTEuL/tZ2/Sme/hQLOJ5G+lMs0Lp4PGfHzMzMSs3JjpmZmZWak52u9cff8OlvMfW3eMAxdVd/jGlp0d/arj/F059iAcfTSH+KBVoUj+fsmJmZWam5Z8fMzMxKzckO6c9FJd0jaaGkmrPAJW0o6VpJ9+ayXyysGyvpcUm358serY4nl9tN0v2SHpB0QmH5xpKmSPq3pAmSlutNPLnO1SVdleu8Kv/7fHWZnQttcLukeZL2zuvOlvRwYd2Ivogpl1tQ2O/EwvJ2tdMISTflx/hOSfsX1jWlneo9Nwrrl8/H/EBug47CuhPz8vsl7dqT/ZdFf3uOdTeeXHblfF76eWHZ5Py4VmJ9QxtjeYeku/Jz7VRJ6mks3Y1H0nBJ0/Kx3yPpqMK6Pm2bLmJpR9u0/LzUxHiW/HUVEQP+AmwBvBmYDIysU2Zd4O359jDgX6T/6gIYCxzbx/EsAzwIvBFYDrijEM9FwAH59mnA0U2I6QfACfn2CcD3uyi/OvAMMDTfPxvYt8mPW7diAubWWd6WdgLeBGyWb68HzAJWbVY7NXpuFMocA5yWbx8ATMi3t8zllwc2zvUs08zHbWm69Lfn2JK8DoFTgPOBnxeW1T2ntCGWW4AdAAFXALu3Op78elg+314JmA6s14626SKWdrRNS89LTY5niV9XTQm8LJclebIDvwc+lG+PpYnJTnfiyS+ESYX7J+aLSD/INLhWuV7Ecj+wbr69LnB/F+VHA52F+019sSxJTNR4I+ov7ZTL3VF4Ufe6neo9N6rKTAJ2yLcH57ZQddliuYF46W/PsSWI5x3AhcBhtC7Z6XEsufx9hTIHAqf3RTyF8msAj9CaZKfHsfSHtsnlmnpealY8PX1deRirB3KX/9uAKYXFn8tdbWc26s5tovWBRwv3H8vL1gCejYhXq5b31toRMQsgX3fVxXsAcEHVsnG5jX4qafk+jGmIpKmSblYeVqOftJOkbUmf8B4sLO5tO9V7btQsk9vgOVKbdGfbgaS/Pce6jEfSIODHwHF16jgrD0V8o5fDI72JZX1Se1T0SdvkmDaUdCfpef79iJhZWN1nbdMglra1TSGuVpyXmhVPj15Xbf9vrL4i6WpgnRqrxkTE75egnpWA3wH/ExHP58W/Ar4DRL7+MfCpFsdT64UYDZZ3XWGDmLqzfaGedYG3kHoFKk4EniA9YccDxwPf7qOYNoqImZLeCFwj6S7g+Rrl2tFO5wKHRsTCvLhH7VRddY1l1cfW9OfP0qq/PceaEM8xwJ8j4tEa79ejIuJxScNI57GDgXPaEEuPnmfNeKwi4lHgrZLWAy6XdElEPEnft03NWGhj2+R6mnJealU8dZLQLttnwCQ7EfHB3tYhaVnSi6AzIi4t1P1kocyvgT/2QTyPARsW7m8AzCR1760qaXDOfCvLu9QoJklPSlo3ImblJ99TDar6BHBZRMwv1D0r33xF0lnAsX0VU+WTW0Q8JGkyqVfud7SxnSStDPwJ+HpE3Fyou0ftVKXec6NWmcckDQZWIc2x6s62pdLfnmNNiGcHYEdJx5DmgiwnaW5EnBARj+d9vCDpfGBbGryhtyoW0hyeDQrl+qptinXNlHQPsCNwSRvapl4sN9KmtmnmeamF8fToPc7DWN2Us8kzgHsj4idV69Yt3P0YcHcfhHQrsJnSrPTlSMNGEyMNYl4L7JvLHUqaX9RbE3Nd3anzQKqGsCptlNtxb5rTRl3GJGm1SperpDWBdwP/bGc75cfrMuCciLi4al0z2qnmc6NBnPsC1+Q2mQgcoPRtrY1JY+S39CCGsuhvz7Eu44mIURGxUUR0kN6UzomIEyQNzvFVPrh9hN69DnscS37zfEHS9vm5fkit7Zsdj6QNJK2Qb69Geqzub0fb1IuljW3T6vNSU+Lp8euqq0k9A+FCSlAeA14BniRPdiJNFvtzvv0eUlfZncDt+bJHXncucFdeN5E88aqV8eT7e5C+FfYgafirsvyNpDeoB4CLyTP+exnTGsBfgX/n69Xz8pHAbwrlOoDHgUFV21+T2+hu4Dxgpb6ICXhX3u8d+fqIdrcTcBAwv/A8uh0Y0cx2qvXcIHU775lvD8nH/EBugzcWth2Tt7ufXn4LZGm/9LfnWHdfh4Xyh7FoUvCKwDTSeeoeUu9Kj79p15tYCuXuzs+1n5N/5LbFj9WH8vHfka9Ht6tt6sXSxrZp+XmpifEs8evKv6BsZmZmpeZhLDMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdlpE0n3SNqph9teIenQfPswSX/rRRyv1TVQSZou6YNNqGcnSY81IyYzM2uewe0OYGkiaTKwDbBORLzSm7oiYqtebLt7T7aTNBbYNCIO6m1dZmZmSwv37HSTpA5gRyCAPdsajCHJibqZmXWLk53uOwS4GTgbWGzYR9Iekv4p6QVJj0s6Ni9fU9IfJT0r6RlJN0galNe9NnQiaaykiyWdl+u4S9KbJJ0o6SlJj0rapbC/yZI+XStISafk8s9LmiZpx7x8N+BrwP6S5kq6o7ouSYMkfV3SjLzfcyStktd1SApJh0p6RNIcSWPqNVa9Nsnr9pJ0e47xwRwbktaTNDG31QOSPlPYZqykS3IbPQ8cluM9IdfxtKSLJK2eyw/JZZ/O7X+rpLUbPL7vzPH+R9JZkobkeu6W9NFCHMvmYx/RoK5K2UpsL+S6P1ZYd5ikv0n6Ud7nw5J2L6zfWNL1edurJf1C0nl53euGy6qeT9tKuikf9yxJP5e0XKHsLpLul/ScpF9Kuq74fJL0KUn35rgmSRre1bGamfVnTna67xCgM192rXrjPAM4MiKGAVsD1+TlXwEeA9YC1iYlG1Gn/o8C5wKrAbcBk0iPz/rAt4HTuxnnrcAIYHXgfOBiSUMi4i/A94AJEbFSRGxTY9vD8mVn4I3ASsDPq8q8B3gz8AHgm5K2qBNHzTaRtC1wDnAcsCrwXmB63uYCUnutB+wLfE/SBwp17gVckrfrBL4A7A28L2/zH+AXueyhwCrAhsAawFHAy3ViBRgF7ApsArwJ+Hpefg5wUKHcHsCsiLi9QV0VD5J6A1cBvgWcJ2ndwvrtgPuBNYEfAGdIUl53PnBLjn0scHA39lexAPhSrncH0mN1DKQEnNSGJ+a67wfeVdlQ0t6k5+nHSc/bG0iPi5nZUsvJTjdIeg8wHLgoIqaR3sQ+WSgyH9hS0soR8Z+I+Edh+brA8IiYHxE3RES9ZOeGiJgUEa8CF5PeaP43IuYDFwIdklbtKtaIOC8ino6IVyPix8DypOSkO0YBP4mIhyJiLukN8QAtPmT0rYh4OSLuAO4gzWGqpV6bHAGcGRFXRcTCiHg8Iu6TtCEpkTo+IublZOI3LP4mf1NEXJ63exk4EhgTEY/lOVRjgX1zvPNJb+abRsSCiJgWEc83OPafR8SjEfEMMA44MC8/D9hD0sr5/sGkpLRLEXFxRMzM8U4A/g1sWygyIyJ+HRELgN+SnitrS9oIeCfwzYj4b0T8DZjYnX3m/U6LiJvzc2A6KVF+X169B3BPRFyan2unAk8UNj8SODki7s3rvweMcO+OmS3NnOx0z6HAlRExJ98/n8WHsvYhvYnMyEMCO+TlPwQeAK6U9JCkExrs48nC7ZeBOflNsHIfUk9LQ5K+kocgnpP0LKlXYc2utsvWA2YU7s8gTWIv9mIV3xhfahBTvTbZkJQs1tr3MxHxQtX+1y/cf7Rqm+HAZXm45lngXlKvxtqkhGQScKGkmZJ+IGnZOrFW1z0jx0NEzARuBPbJyebupF6lLkk6JA/XVeLbmsUfi9faMiJeyjdXYlFbvFQoW33sjfb7JqXh0yfykN/3Cvtdr1hXTr6LQ2LDgVMKMT8DiMUfBzOzpYqTnS5IWgH4BPC+/ObxBGmIYBtJ2wBExK0RsRfwBuBy4KK8/IWI+EpEvJE0TPXlqmGZZse6I3B8jne1iFgVeI70ZgX1h9AqZpLe7Co2Al5l8USsW+q1CemNdpM6+15d0rCq/T9erLZqm0eB3SNi1cJlSO4tmh8R34qILUnDNB8hDUXWs2HVfmcW7v+WNJS1H6l3qRhTTbkn5NfA54A18mNxN4sei0ZmkdpiaJ34XgReWydpGVJPYMWvgPuAzSJiZdKwVGW/s4ANCtuqeJ/UpkdWtekKEfH3bsRtZtYvOdnp2t6k3oItSXNhRgBbkOYyHCJpOUmjJK2Sh5yez+WR9BFJm+Y3lMryBbV20iTDSMnJbGCwpG8CKxfWP0kaDqv3uF8AfClPjl2JRXN8Xl2SIBq1CWkuz+GSPqA0wXh9SZtHxKPA34GTlSYXv5U05NWoF+U0YFxliEXSWpL2yrd3lvSWnAg8TxrWatT2n5W0gdIE568BEwrrLgfeDnyRNIenO1YkJWezczyHk3p2uhQRM4CpwNjcljuQkuWKfwFDJH0491Z9nTRcWTGMdMxzJW0OHF1Y9yfgLZL2zsN9nwXWKaw/DThR0lY57lUk7dfNYzYz65ec7HTtUOCsiHgkIp6oXEgTd0flMgcD0/OQwVEsmtC6GXA1MBe4CfhlRExuYayTgCtIb4YzgHksPvxxcb5+WtI/eL0zScM/1wMP5+0/38NYarZJRNwCHA78lNTrdB2LepMOBDpIvSqXASdFxFUN9nEKaS7LlZJeIH1bbru8bh3SRNznScNb15Hm39RzPnAl8FC+fLeyIs8P+h2wMXBpl0eetvkn8GPS4/4k8BbScFh3jSJNLn46xzIBeCXX/RxpwvFvSD1fL7L4UNSxpDllL5B6l15L3PJQ7H6kCdFPk5L4qYW6LwO+Txr+e57UG+XfYjKzpZrqz5c1s4rcS/am4g8y9vH+JwD3RcRJTa53EClRGhUR1zazbjOz/sI9O2ZdyENbRwDj+3Cf75S0SR7q2430tfvLm1T3rpJWlbQ8i+bz3NyMus3M+iMnO2YNKP2w4aPAFRFxfR/ueh1gMmkI9FTg6Ii4rUl170D6Rtwc0lygvfNQnZlZKXkYy8zMzErNPTtmZmZWak52zMzMrNQGzD9Hr7nmmtHR0dHuMMwGlGnTps2JiLW6Lmlm1joDJtnp6Ohg6tSp7Q7DbECRNKPrUmZmreVhLDMzMys1JztmZmZWak52zMzMrNR6lOxIGiPpHkl3Srpd0nZdb7VE9Tf8h2VJc5u5PzMzMyuvJU528j8wfwR4e0S8Ffggi//ZZK9FxLuaWV9ZdXZCRwcMGpSuOxv9P7iZmdkA1ZOenXWBORFR+ZfkORExU9J0Sd+XdEu+bAog6aOSpki6TdLVktbOy8dKOlPSZEkPSfpCZQeVnhtJ60q6Pvce3S1px0KZcZLukHRzpc6BpLMTRo+GGTMgIl2PHu2Ex8zMrFpPvnp+JfBNSf8CrgYmRMR1ed3zEbGtpEOAn5F6gP4GbB8RIenTwFeBr+TymwM7A8OA+yX9KiLmF/b1SWBSRIyTtAwwNC9fEbg5IsZI+gHwGeC7PTiW19n/9JuaUU3LTZkCw/ZKDVc05q8wcSkY5Jtw5A7tDsHMzAaIJU52ImKupHcAO5ISlQmSTsirLyhc/zTf3iCXWRdYDni4UN2fcg/RK5KeAtYGHiusvxU4U9KywOURcXte/l/gj/n2NOBDtWKVNBoYDbDRRhst6aH2a/PmLdlyMzOzgapHPyoYEQtI/8g8WdJdwKGVVcVi+fr/gJ9ExERJOwFjC2VeKdxeUB1PRFwv6b3Ah4FzJf0wIs4B5seifzB93XaF7ccD4wFGjhzZrX88XVp6HDpOTkNX1YYPhwnn9308ZmZm/VVPJii/WdJmhUUjgMrb7v6F68p40CrA4/n2oSwBScOBpyLi18AZwNuXNN6yGjcOhg5dfNnQoWm5mZmZLdKTnp2VgP+TtCrwKvAAaajoI8DykqaQkqgDc/mxwMWSHgduBjZegn3tBBwnaT4wFzikB/GW0qhR6XrMGHjkEdhoo5ToVJabmZlZokWjQb2sSJoOjIyIOU2psMlGjhwZ/m8ss74laVpEjGx3HGY2sPkXlM3MzKzUmvav5xHR0ay6zMzMzJrFPTtmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMys1JztmZmZWak52zMzMrNSc7JiZmVmpOdkxMzOzUnOyY2ZmZqXmZMfMzMxKzcmOmZmZlZqTHTMzMyu1XiU7khZIur1wOaEXdc3N1+tJuqRBuQ5Jd/d0P2Zl1tkJHR0waFC67uxsd0RmZu03uJfbvxwRI5oSSRYRM4F9m1mn2UDQ2QmjR8NLL6X7M/6/vfuPtbu+6zj+fJWfbQazjg1ZWHuziG6OIZPjtIxtSDbjP4IMHJprAv/YLft7Jhj+MJMguOkfI9OFO39BUpZqZVjJNoYdoNOu7iJFBswQEcaPMsFsxmYtg/r2j/Mtu1zvpedwz7nf9nOfj6T5fs/nfM/38zrfNu2r3+/33PPE8DHA7Gx/uSSpbystO0tK8jhwM/DLwAnAr1bVt5K8EbgVeAPwDeCXgPOq6vkFr50B7qiqs5O8A/hz4ESGZ6EuA14EjkvyOeB84Gngkqo6MI33Ik3DFTftnvg+9+yBUy6BUxaNX7MLdu6f7FzbP7JlsjuUpCla6T076xddxrpiwXPPV9XPAJ8FPt6N/Q7w1W78C8CmI+z/o8Cnu7NHA+Cpbvws4I+q6h3A9xiWoP8nydYk80nmn3vuudf0BqVjxcGD441L0loxzctYt3XL+4APdesXAJcCVNWXk3z3CPvfDVyT5Ezgtqp6NAnAf1TV3gX7n1nqxVU1B8wBDAaDOvLbkVbHNM6MzFw/vHS12ObNsP3WiU8nSceMaX4a64VueYgflqqMs4OquhW4GDgA3JnkokX7Xrx/ac267jrYsOGVYxs2DMclaS1b7Y+efw34MECSXwQ2vtrGSd4KPFZVNwI7gXOmnlA6Rs3Owtzc8ExOMlzOzXlzsiSt9IzI+iR7Fzz+clW92sfPPwF8vru3515gH/A/r7L9FcBvJHkReBb4XeDUFWaWmjU7a7mRpMVStXq3siQ5CThUVS8l2QJ8dtIfXV/OYDCo+UBCWekAAAfySURBVPn51ZhKUifJfVU16DuHpLVtte912QT8ZZJ1wA+A31zl+SVJ0hqzqmWnqh4F3rWac0qSpLXN78aSJElNs+xIkqSmWXYkSVLTLDuSJKlplh1JktQ0y44kSWqaZUeSJDXNsiNJkppm2ZEkSU2z7EiSpKZZdiRJUtMsO5IkqWmWHUmS1DTLjiRJapplR5IkNc2yI0mSmmbZkSRJTbPsSJKkpll2JElS0yw7kiSpaZYdSZLUNMuOJElqmmVHkiQ1zbIjSZKaZtmRJElNs+xIkqSmWXYkSVLTLDuSJKlplh1JktQ0y44kSWqaZUeSJDXNsiNJkppm2ZEkSU2z7EiSpKZZdiRJUtMsO5IkqWmWHUmS1DTLjiRJapplR5IkNc2yI0mSmmbZkSRJTbPsSJKkpll2JElS0yw7kiSpaZYdSZLUNMuOJElqmmVHkiQ1zbIjSZKaZtmRJElNs+xIkqSmWXYkSVLTLDuSJKlplh1JktQ0y44kSWqaZUeSJDXNsiNJkppm2ZEkSU2z7EiSpKZZdiRJUtMsO5IkqWmWHUmS1DTLjiRJapplR5IkNe2IZSfJoSR7kzyQ5F+SnN+NvznJjm79wiR3dOsXJ7l6urFfke/luSVJkhYb5czOgao6t6p+Gvht4HqAqnqmqi5fvHFV7ayqGyacU2vYtm0wMwPr1g2X27b1nUiSdCwZ9zLWqcB3AZLMJPnm4g2SXJXkM936XyS5Mck/JXksyeXd+Lokf5zkoSR3JPniguceT3Jatz5Ick+3/u5uP/d3y598ze9ax4xt22DrVnjiCagaLrdutfBIkkZ3/AjbrE+yFzgZOAO4aMw5zgAuAN4G7AR2AB8CZoB3Am8CHgH+7Aj7+Rbwvqp6KckHgN8DLhszi8Z0xU27e51/zx445RI4ZdH4Nbtg5/5eIr1s+0e29BtAkjSSUcrOgao6FyDJFuCWJGePMcftVfW/wMNJTu/GLgD+qht/NsndI+zn9cDNSc4CCjjhSC9IshXYCrBp06YxIutocfDgeOOSJC02Stl5WVXt7i4xvXGMl72wYD2Llkt5iR9eXjt5wfi1wN1VdWmSGeCeI01cVXPAHMBgMKjR4mqhvs9ezFw/vHS12ObNsP3W1c8jSTr2jHXPTpK3AccB/7XCeb8GXNbdu3M6cOGC5x4HzuvWF16mej3wdLd+1Qrn1zHiuutgw4ZXjm3YMByXJGkUo5Sd9d1Hz/cC24Erq+rQCuf9a+Ap4JvATcAe4L+75z4BfDrJPwAL5/kkcH2Sf2RYuLQGzM7C3NzwTE4yXM7NDcclSRpFqvq5upPkdVW1P8kbgH8G3lNVz05rvsFgUPPz89PavaQlJLmvqgZ955C0to11z86E3ZHkR4ATgWunWXQkSdLa1VvZqaoL+5pbkiStHX43liRJapplR5IkNa23G5RXW5LngCV+YsvITgOen1CclTLL0syytD6zbK6qcX4ulyRN3JopOyuVZP5o+VSJWZZmlqUdTVkkqQ9expIkSU2z7EiSpKZZdkY313eABcyyNLMs7WjKIkmrznt2JElS0zyzI0mSmmbZWUaSH01yV5JHu+XGZbb7ZJKHkjyS5MYk6SNLkl84/IWt3a+DSX6ljyzddpuSfKU7Lg8nmekxy6EFx2XnpHOMk6Xb9tQkTyf5TF9ZkmxOcl93TB5K8tFpZJGko4FlZ3lXA7uq6ixgV/f4FZKcD7wHOAc4G/hZ4P19ZKmqu6vq3Ko6F7gI+D7wlT6ydG4BPlVVbwfeDfxnj1kOHD42VXXxFHKMkwXgWuDeKeUYNcs+4Pzuz8vPAVcnefMUM0lSbyw7y7sEuLlbvxlY6ixJAScz/DLTk4ATgO/0lGWhy4EvVdX3+8iS5KeA46vqLoCq2t9XllU0UpYk5wGnM50iOnKWqvpBVb3QPTwJ/y6Q1DD/glve6VW1D6BbvmnxBlW1G7ib4f+S9wF3VtUjfWRZ5NeAz08hx6hZfgL4XpLbktyf5FNJjuspC8DJSeaTfH0al/ZGzZJkHfCHwG9NKcPIWbo8b0nyr8CTwO9X1TNTziVJvejtW8+PBkn+DvixJZ66ZsTX/zjwduDMbuiuJO+rqr9f7SwL9nMG8E7gznEzTDDL8cB7gXcB3wa2A1cBf9pDFoBNVfVMkrcCX03yYFX9ew9ZPgZ8saqeXOmtXZM4LlX1JHBOd/nq9iQ7qmoaZyYlqVdruuxU1QeWey7Jd5KcUVX7ugKx1D0nlwJfr6r93Wu+BPw8MHbZmUCWwz4MfKGqXhw3wwSzPAXcX1WPda+5neFxGbvsTOK4HD5jUVWPJbmHYQkbu+xMIMsW4L1JPga8Djgxyf6qerX7e6aVZeG+nknyEMOCumPcLJJ0tPMy1vJ2Ald261cCf7PENt8G3p/k+CQnMLw5eRqXsUbJctivM71LWKNm+QawMcnhL4C8CHi4jyxJNiY5qVs/jeEN5b1kqarZqtpUVTPAx4FbXkvRmUSWJGcmWd+tb2R4XP5tClkkqXeWneXdAHwwyaPAB7vHJBkk+ZNumx0MzxA8CDwAPFBVf9tTFrqPd7+F6X7S54hZquoQw3/MdyV5EAjwuT6yMLzMOJ/kAYb3V91QVdMoOyP9Hq2SUY/Lnu643Av8QVU9uMo5JWlV+BOUJUlS0zyzI0mSmmbZkSRJTbPsSJKkpll2JElS0yw7kiSpaZYdSZLUNMuOJElqmmVHkiQ17f8ABJmXRnavWpwAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x122dc9b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=37.395 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -3.418E-01; stat=11.402 (p=0.001)\n",
+      "13_18 vs. 39_48 have difference in medians -4.960E-01; stat=20.926 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -4.925E-01; stat=20.259 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -2.928E-01; stat=11.996 (p=0.001)\n",
+      "19_28 vs. 49_65 have difference in medians -2.893E-01; stat=12.893 (p=0.000)\n",
+      "demo genders has difference in medians stat=0.335 (p=0.563)\n",
+      "demo language has difference in medians stat=19.975 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -2.138E-01; stat=9.832 (p=0.002)\n",
+      "English vs. Spanish have difference in medians 3.793E-01; stat=17.080 (p=0.000)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1f5b82e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=32.404 (p=0.000)\n",
+      "13_18 vs. 39_48 have difference in medians -4.722E-01; stat=14.072 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -5.275E-01; stat=21.606 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -2.629E-01; stat=8.890 (p=0.003)\n",
+      "19_28 vs. 49_65 have difference in medians -3.183E-01; stat=15.672 (p=0.000)\n",
+      "demo education has difference in medians stat=2.597 (p=0.458)\n",
+      "demo genders has difference in medians stat=0.053 (p=0.817)\n",
+      "demo language has difference in medians stat=19.532 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -1.850E-01; stat=10.689 (p=0.001)\n",
+      "English vs. Spanish have difference in medians 2.758E-01; stat=16.477 (p=0.000)\n",
+      "demo region has difference in medians stat=0.643 (p=0.887)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x15aa21d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=12.707 (p=0.013)\n",
+      "13_18 vs. 39_48 have difference in medians -3.126E-01; stat=9.294 (p=0.002)\n",
+      "demo education has difference in medians stat=4.992 (p=0.172)\n",
+      "demo genders has difference in medians stat=0.003 (p=0.955)\n",
+      "demo language has difference in medians stat=18.508 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -2.599E-01; stat=8.652 (p=0.003)\n",
+      "English vs. Spanish have difference in medians 4.488E-01; stat=15.778 (p=0.000)\n",
+      "demo region has difference in medians stat=2.741 (p=0.433)\n",
+      "testing dest pct=25\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x2628c240>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=52.617 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -4.211E-01; stat=15.796 (p=0.000)\n",
+      "13_18 vs. 39_48 have difference in medians -6.340E-01; stat=27.303 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -6.791E-01; stat=28.216 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -3.798E-01; stat=16.101 (p=0.000)\n",
+      "19_28 vs. 49_65 have difference in medians -4.250E-01; stat=18.501 (p=0.000)\n",
+      "29_38 vs. 49_65 have difference in medians -2.580E-01; stat=8.558 (p=0.003)\n",
+      "demo genders has difference in medians stat=0.521 (p=0.470)\n",
+      "demo language has difference in medians stat=19.550 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -2.929E-01; stat=11.213 (p=0.001)\n",
+      "English vs. Spanish have difference in medians 6.335E-01; stat=15.338 (p=0.000)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1d9200f0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=44.099 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -3.694E-01; stat=10.145 (p=0.001)\n",
+      "13_18 vs. 39_48 have difference in medians -6.032E-01; stat=19.085 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -7.082E-01; stat=29.454 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -4.425E-01; stat=11.473 (p=0.001)\n",
+      "19_28 vs. 49_65 have difference in medians -5.475E-01; stat=20.280 (p=0.000)\n",
+      "29_38 vs. 49_65 have difference in medians -3.388E-01; stat=8.727 (p=0.003)\n",
+      "demo education has difference in medians stat=3.552 (p=0.314)\n",
+      "demo genders has difference in medians stat=0.073 (p=0.788)\n",
+      "demo language has difference in medians stat=20.403 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -2.818E-01; stat=12.404 (p=0.000)\n",
+      "English vs. Spanish have difference in medians 5.379E-01; stat=16.179 (p=0.000)\n",
+      "demo region has difference in medians stat=0.444 (p=0.931)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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MLMtAUh9JF+Tu4HeAMcBSkhYp1O/9GvscCOxVqUuuz1bAChHxHrA3cDgwWdItktauUxez1uY2cC63gTXawFyeH1W1Y6vkvFYEXokcaRT20xIDSL1rnzhukhaR9Is85PgOKQCqbNMSZa/5ioXnr0fErMLzeq850M3mJOUxz28BX8pjnq+Sugs3lLQhQEQ8GBG7k7rrrgeuzunvRsSPImJ10i+j/ydp+zYs69akHolvkboDlyJ16yqvErW2zSaR3uQVld6P18pXr63WMSF9ED9TY9+fktSvav+vFLOt2uYlYOeIWKpw6x0Rr0TERxFxWkSsS+qW/SppTkUtq1Ttd1Lh+aWkLvy9gLERUSxT0Y9Ivzw/HxFLkn45QTr+k3P9+tTY50uknqRiXfpGxC8AIuLWiNiR9EvxKVKXv1mbcxvoNpCWt4EvAWdUladPRFxFagNXkqTC+qsWHr9HGhoEQNKnC8umkYZjy47bvqQhwB1IAXFTJYt8vyCv+aQa67ZItwqSSOO/s4F1ScMng4B1gLuB/SUtKmmIpP4R8RFp7shs+HgC22fzm6KSPrtsJ62kH+kDPRXoKemnwJKF5a8BTcoTJ0tcBfxQaYLxEsDPSWPRs2qsX6reMQEuAg6StL3SpMOVJK0dES+Rul7PVJpwuAFwCLV/sUCa63CGpIF5v8tK2j0/3lbS53IvzjukLuh6x/5ISSsrTXo8CRhVWHY9aaz9aNJciVr6kX7xvpXzObWyICImAuOAYfn4bEH60qi4AviapC/nX0a986TBlSUtL2k3SX1JcyCmN1MXs9bkNtBtYEvbwD8Ch0v6vJK+knbNgd9Y0mtzlKSekr5Bmp9V8TCwnqRBSpPGh1UWRMQc4GLgN0qT2xeRtIXSBOt+pHbxdVKQ9fOqMr1GmmNWy1XAKfnYDQB+SmqPF1h3C5IOAC6JiBcj4tXKDTiPNGseYD/ghdzVdzgp4gZYA/gH6UttLPD7iLizDct6K/A34D+kLsOZzNuF+ud8/7qkh0q2v5jURTuGNGlyJvCDBSxL6TGJiH8BBwG/Jf3Cu4u5Ufy3Sb8CJgHXAadGxG119nEOcCOpK/9d0uS7z+dlnyaNnb9D6oK+i/pv/CuB0cBz+fbxCc4iYgbwF2A10kTOWs4mTaaclsvy96rlQ4AtSB/m00mN0Ad5Hy+Rfg2dRGrgXwKOI33eepB6qSYBb5DG979Xpxxmrclt4ILpdm1gRIwjTbI/jzQX7BnSXCMi4kPgG/n5m6QpBNcWtv0PaQ7bP4D/AtUnCD0WeBR4kNQO/pLUNl5Geq1fAZ7Ix6DoImDdPPx3fUmxTyf9gH0k5/9Qse4LovLPBLNuI/8iXTMKJ6FrhTxHAU9FxKnNrmxm1kBt0QZ2Vd2tJ8m6udz9fAgwfCHz2VTSZ3IX+1dIPUdlv2zMzDqM1moDuwsHSdZtKJ3M7SXgbxExZiGz+zTp78bTgXOBIyLi3wuZp5lZm2nlNrBb8HCbmZmZWQn3JJmZmZmV6NYX1RswYEA0NTU1uhjWDY0fP35aRCzb6HKYLQy3odYI7dl+dusgqampiXHjxjW6GNYNSWrp2WnNOiy3odYI7dl+erjNzMzMrISDJDMzM7MSDpLMzMzMSjhIMjMzMyvhIMla3ciR0NQEPXqk+5H1LuloC0TSMpIm5Nurkl4pPF+00eVbEJIOlXR2o8sBIGkdSXfl4/mkpD80uky1SHpZ0lL5QqNvNbo81nrcljZeQ/7dlq9kPA54JSK+Kmk74CxgUWA8cEi9KzVL2oZ0AdJewLSI+FJOfwF4l3R15FkRMbgt62GfNHIkDB0K77+fnk+cmJ4DDBlSezubPxHxOukK7kgaBkyPiLMaWqhmSOo5v1dgX8D9iHSi3DkLkc15wK8i4pac3/qtUzqzlnFb2jE06hQAR5OuZLykpB7ApcD2EfEfST8jXan6orINJS0F/B74SkS8KGm5qlW2jYhpbVj2Ftv7grGNLkK7e+AB6Lc79KtKP/l2uHF6Q4rUEKMO26Ih+5V0EvBWRPxe0v8Ba0XETpK+DHw7Ig6U9B3gx4CAGyPipJJ87gOGRsRj+fkDwMGkK3SfB6xL+pHy04i4SdJngBHAEsAc4HsR8YCkHYATgGnAesDnqvZzKHA86Urpz5Au84Kk5YE/AKvm/I6KiPvz5/0qYGnSFcJ3z/kOIF077x7SldO/KmkD4KfAYqQrkR8cEe9J2pT0o2wJYApwYES8VnUIVgBeBoh0WYJHc7kWB84HNgY+Ao6JiDG5HruQfuitB/wq578vMAPYJSLekrRGPn4DgPeAQ/MV04vHpF9eZ2Mg8jG+viWvW1U+J5Cu1N4buCYifpbTTyNdtf0l0hXYx0bE2S0pW1fQWdrlrtCWNqodbE3tPtwmaWVgV+DCnLQM8EHhw3gbsGedLPYFro2IFwEiYsp87n+opHGSxk2dOnX+Cm/Nmjlz/tKt1Y0Bts6PNwaWktQT2Aq4O3/+Tge2BTYCviDpqyX5XAQcCCBpXYCIeJwUdPw9IjYDtgP+V1JvYDKwY0RsBAwhXc+uYnPg+IioDpBWBn4CbAHsxLy9NeeSenIGA99ibnvxs7z/jYG/AisWtlkXuCiX4SNScLZ9XvcR4GhJiwHnAHtGxCbAFcD/lNT/N8AYSX+VdIyk/jn9KODDXJf9gMsLw5vrkYKPzYFfAm/msowHKldbH04KIDcBTiQFJdWGAVPzPjYE7pqP1w0ASbuQAszPk3oct5S0paTNga/mfPcENi1s1pKyuQ1tJ25LO4ZG9CSdTfrlWAmQpwG9JA2OiHHAN4FV6my/Zl7/zpzHORFxWV4WwGhJAVwQEZ+4ynFOGw4wePDgNr1wXVeIoudX05mpW7jawIEw6sr2L0839CCwae5xnU7qndmIFDhdTvrSvKPS2yrpSuCLwM1V+fwJmJB7Iw4GLsnpOwE753RIvRSrAlOB8yRtCMwCPlPIa2zlR02VzYHb89Ahkq7OeQHsAKyVRroAWDr34mwFnAEQETdLereQ37MR8WB+vCUpaLov57EoqZdpHVIw84+cvgi5x6goIi6U9Dfgy8AewFBJg/L+f53XeVzSJOCzebM7IuI94D1J04GbcvqjwJr5Ndkc+EuhXmVt8A7A1/M+AngzT0loyetWsROwM1C56PISpLZzAHB9RHwAfCDp5pxfS8vWrm1oW+gs7bLb0o6hXYOk/MtnSkSMz/OKiIiQtA/w2/wrbzSpka2lJ7AJsD2wODBW0v25J+oLETEpd8nfJukpX+m4fZ1xxrzj6AB9+qR0a3sR8UH+4t4fuBf4D+mzsmoezt6gbDtJ3wROyU8PjIgJ+YfIbqQeh0GVVYGvR8SzVdufThq++Q5pGK44IPBevSLXSBewWUR8WLUf1Vi/ej8i9TjtV7X9RsAjEbE1zYiIV4CLgYslPUUKsOrt/4PC4zmF53NI7ZZIcygHVW9YRXzyuNTbb608To+IeaYtSDquzvotKZu1E7elHUN7D7d9AdgtT7D+E7CdpCsiYmxEbJ278MeQ5g/U8jKp8Xsv/6oaQ+o6JiIm5fspwHXAZm1XFSszZAgMH55+7UjpfvhwTzRsZ2OAY/P93cCRpCEfSPN4ts3/jusJ7APcFRHXRMSgfJuQ172QNORyX0S8ndNuJQ05AR8HHQD9gcm55+MAWvalfj+wvaRP5SGrbxaW/SOXu7Kfypf3PaTht8qQUvWUjYr7gC9JWj2v2zfPuXkCWEnSZjl9UUnr5cdHSzo8P/5KPj5IWpE0B2oS6ZgOyenrkOYuPdOCuhIRbwKTJe2Rt++Re96qjQa+n9eRpMr8q0+8bnV2dytwiKS+OZ+VJQ0gHb/dJC2W5z7tMp9ls3bitrRjaNcgKSJOjIiVI6KJ9CG/IyK+k3t+yD1JPyZNjKzlBmBrpb+79iENHzyZG8F+OZ++pO7mx9qwOlbDkCHwwgswZ06694e63d0NLA88kHtDPsppRMTLpHlFdwITgPsj4payTCLiAeB95g61AZwG9JH0qKTHSfNnIAVTh0q6HxjIvL0qpXJZTicFAKNJ/3itOJI07+YRSU8A383ppwK7SnqINCfqNUp6qvJE7EOAUZIeJgVNa+Zhpm8Cv8np/ya1IZB6il7Pj3cGHs/r/JU0QXsq8H/A4pIeBUYC+1f3djVjH+DwnO/jpPlB1U4Dlpf0GOk12np+Xrdc/78C1wD357JeDSwREWOBv5PmaF1DGp6tBMAtKZu1I7eljaf0w68BO07DbcfmUwD8mvSB7AH8ISLqnisldxkfROrGvjD/M2N1Uu8RpK7tKyOibsfk4MGDwxdntEaQNL6jn6JC0iqkP1KsE41qKKrkSeKzImKWpK2As1vrOEq6Bdi9PU5T0EiSloiI6fnH5D3AARHxyILk5TbUGqE9289GnQKAiLiT9KuIiDgOqDVWXrbtr8mTJwtpz5GH3cxs4Ug6iPRPsqM7SoCUNQFXKZ1r7QPgsNbKOCJ2ba28OriLJK1FmnR/8YIGSGbdQcOCJDPruCLiEuYdZusQIuIp0r/1bAFFxN6NLoNZZ9Fhg6T8S/boquR7I+LIsvXNzMzMWlOHDZI66i9ZMzMz6x58gVszMzOzEg6SzMzMzEo4SDIzMzMr4SDJzMzMrISDJDMzM7MSDpLMzMzMSjhIMjMzMyvhIMnMzMyshIMkMzMzsxIOkszMzMxKOEgyMzMzK+EgyczMzKyEgyQzMzOzEg6SzMzMzEo4SDIzMzMr4SDJzMzMrISDJDMzM7MSDpLMzMzMSjhIMjMzMyvhIMnMzMyshIMkMzMzsxIOkszMzMxKOEgyMzMzK+EgyczMzKyEgyQzMzOzEg6SrE2NHAlNTdCjR7ofObLRJTIzM2uZdg2SJPWW9C9JD0t6XNJpOX07SQ9JekzSpZJ6tiCvTSXNlvTNQtqvcr5PSjpXktqyPlbfyJEwdChMnAgR6X7oUAdKZmbWOTQbjLSyD4DtImK6pF7APZJuBS4Fto+I/0j6GXAAcFGtTCQtAvwSuLWQtiXwBWCDnHQP8CXgzraoyMLa+4KxjS5Cm3vgAei3O/SrSj/5drhxekOK1G5GHbZFo4tgZmYLqV17kiKpfD32yrfZwAcR8Z+cfhuwZzNZ/QD4CzClmD3QG1gUWCzn/Vr1hpKGShonadzUqVMXuC7WvJkz5y/dzMysI2nvnqRKL9B44LPA74B/Ab0kDY6IccA3gVXqbL8SsAewHbBpJT0ixkr6JzAZEHBeRDxZvX1EDAeGAwwePDhaq17zqzv0NDSdmYbYqg0cCKOubP/ymJmZzY92n7gdEbMjYhCwMrAZsB6wD/BbSf8C3gVm1cnibODHETG7mCjps8A6Od+VgO0kfbENqmAtdMYZ0KfPvGl9+qR0MzOzjq7de5IqIuItSXcCX4mIs4CtASTtBKxZZ9PBwJ/ynOwBwC6SZgFrAPdXhvMk/Q3YHBjTZpWwuoYMSfcnnwwvvgirrpoCpEq6mZlZR9be/25bVtJS+fHiwA7AU5KWy2mLAT8Gzq+VR0SsFhFNEdEEXAN8LyKuB14EviSpZ54U/iXgE8Nt1r6GDIEXXoA5c9K9AyQzM+ss2rsnaQXg0jwvqQdwdUTcLOnXkr6a0/4QEXcsQN7XkOYpPUqaxP33iLiptQpuZmZm3Uu7BkkR8QiwUUn6ccBxC5DfgYXHs4HDFqZ8ZmZmZhU+47aZmZlZiYZN3G6OpIOAo6uS742IIxtRHjMzM+teOmyQFBGXAJc0uhxmZmbWPXm4zayTkdTmF3WRdIykPoXnbbLPWvlKOlzS/s1se6Ck81qxLE2SHmulvEYUryvZViQNk3TsAm7bJGnf1i5TV+eLdncvDpLMrMwxQJ9m12ojEXF+RFzWqP03Uksu8N1KmgAHSfPBF+3ufjrscJuZtZykZUnnF1s1Jx0TEfdK+hJwTk4L4IvAEsAoYElSG3BERNxdyOsoYEXgn5KmRcS2Of0M4KvADGD3iHhN0teAU0jXTHwdGJLTh+WyrJ7vz46Ic2uUvSzfYcD0iDhL0qakC16/R7pw9c4RsX7efEVJfwc+A1wXEceX5P8LYDfSmfxHR8SxkpbPx2v1vNoRwCRgEUl/BLYEXsnlmSFpUF6/D/AscHBEvFkrvayeuSzf/kuxAAAgAElEQVSldZF0ILAr6fqTfSXtBtwALE26DuUpEXFDzuNkYH/gJWAq6TJP5JPzHhsR4yQNAMZFRJOkJuByoG8uxvcj4j7gF8A6kiaQLjJ+bk7bhnT9y99FxAW16tKcrngR7+520e7ucPms5rgnyaxrOAf4bURsSrpA9IU5/VjgyHwpoK1Jgci+wK05bUNgQjGjHMxMAratBEikL9j7I2JD0lnsv5vT7wE2j4iNgD8BxSBlbeDLpMsPnZpP8lqtVr5FlwCHR8QWpAtiFw0C9gY+B+wtaZ7rPkr6FOlaj+tFxAbA6XnRucBdeb8bA4/n9DVIwcF6wFvMvdj2ZaTLIW1AOhfbqc2k11KvLlsAB0TEdsBMYI+I2BjYFvhfJZuQLuO0EfANCtevrGMKsGPOa+9cd4ATgLsjYlBE/BY4BHg7v4c2Bb4rabXqzLrzRcJ90e7uxz1JZl3DDsC6+XI9AEtK6gfcC/xG0kjg2oh4WdKDwMU5aLk+IiaUZzmPD4Gb8+PxwI758crAKEkrkHqTni9sc0tEfAB8IGkKsDzwcgvzBSCfob9f7vkAuJLU61Rxe0S8ndd9AhhI6mGpeIcUcFwo6ZbCvrYj9cZUzrH2tqSlgecLx2M80CSpP7BURNyV0y8F/lwrnRpaUJfbIuKNyurAz/P1J+eQrke5PCnQvS4i3s953lhrfwW9gPNyr9dsal/2aSdgg8Jcqv6koLH4mrb4IuFdsRfCF+3uftyTZNY19AC2yL0CgyJipYh4NyJ+ARwKLA7cL2ntiBhDGnZ7Bbi8uQnS2UcRUflCnM3cH1j/B5wXEZ8jncy1d2GbDwqPi9u0JN8KUV/dfUTELFJP1l+ArwN/X5j8FlJzdXmv8HgIsCywSe7xe425x7ZWYDKLuW168XX4Yd5+Q9K1LxetU74fFN5Dq0XE6GbK3K34ot3dj4Mks65hNPD9ypPca4Ckz0TEoxHxS2AcsLakgcCUiPgjaX7MxiX5vcsnp16U6U8KtgAOWIjyl8rze96VtHlO2md+tpe0BNA/Iv5Kmow+KC+6nTQPCUmLSFqyThneBt6UtHVO2o80VFea3kp16U96jT6StC2phwzSkOQekhbPPYVfK2zzArBJflz8Z11/YHJEzMllXCSnV7/GtwJHVIZFJa0pqS/2sSFDYPjw1HMkpfvhw31Nyq7Mw21mnU8fScVhq98ARwG/k/QI6XM9BjgcOCZ/yc4GngD+RvpyPk7SR8B08rBTleHA3yRNLsxLKjOMNPT0CnA/8Ik5LK3gEOCPkt4D7gTeno9t+wE3SOpN6in5YU4/Ghgu6RDSsTkCmFwnnwOA8/NpEZ4DDmomfWHrMhK4SdI40pyxpwAi4iFJo3LaRODuwjZnAVdL2g8oXv/y98BfJO0F/JO5PVaPALMkPQyMIM1rawIeUhq3nUrqfbOCIUMcFHUnmtvT3f0MHjw4xo0b1+hiWDckaXxEDG50OToDSUtExPT8+ARghYioPht/p9CV6gJuQ60x2rP9dE+SmXV0u0o6kdReTQQObGxxFkpXqotZl+cgycw6tIgYRTqvU6fXlepi1h144raZmZlZCQdJZmZmZiUcJJmZmZmVcJBkZmZmVsJBkpmZmVkJB0lmZmZmJRwkmZmZmZVwkGRmZmZWwkGSmZmZWQkHSWZmZmYlHCSZmZmZlXCQZGZmZlbCQZKZmZlZCQdJZmZmZiUcJNkCGTkSmpqgR490P3Jko0tkZmbWuto1SJK0iqR/SnpS0uOSjs7pG0oaK+lRSTdJWrJOHptJmpBvD0vao7DshznfxyRdJal3e9Sruxk5EoYOhYkTISLdDx3qQMnMzLqWnu28v1nAjyLiIUn9gPGSbgMuBI6NiLskHQwcB/ykRh6PAYMjYpakFYCHJd0ELA8cBawbETMkXQ3sA4xo4zq1ur0vGNvoItT1wAPQb3foV5V+8u1w4/SGFKnFRh22RaOLYGZmnUS79iRFxOSIeCg/fhd4ElgJWAsYk1e7DdizTh7vR8Ss/LQ3EIXFPYHFJfUE+gCTqreXNFTSOEnjpk6durBV6pZmzpy/dDMzs86ovXuSPiapCdgIeIDUO7QbcAOwF7BKM9t+HrgYGAjsl4OmVySdBbwIzABGR8To6m0jYjgwHGDw4MFRvbwj6Oi9HU1npiG2agMHwqgr2788ZmZmbaEhE7clLQH8BTgmIt4BDgaOlDSeNIrzYb3tI+KBiFgP2BQ4UVJvSUsDuwOrASsCfSV9py3r0V2dcQb06TNvWp8+Kd3MzKyraPcgSVIvUoA0MiKuBYiIpyJip4jYBLgKeLYleUXEk8B7wPrADsDzETE1Ij4CrgW2bIs6dHdDhsDw4annSEr3w4endDMzs66iXYfbJAm4CHgyIn5TSF8uIqZI6gGcApxfJ4/VgJfyxO2BpPlMLwCLAJtL6kMabtseGNdmlenmhgxxUGRmZl1be89J+gKwH/CopAk57SRgDUlH5ufXApfUyWMr4ARJHwFzgO9FxDRgmqRrgIdI/6L7N3nukZmZmdn8atcgKSLuAVRj8TktzONy4PIay04FTl2w0pmZmZnN5TNum5mZmZVo2CkAmiPpy8Avq5Kfj4g9ytY3MzMza00dNkiKiFuBWxtdDjMzM+uePNxmZmZmVsJBkpmZmVkJB0lmZmZmJRwkmZmZmZVwkGRmZmZWwkGSmZmZWQkHSWZmZmYlHCSZmZmZlXCQZGZmZlbCQZKZmZlZCQdJZmZmZiUcJJmZmZmVcJBkZg0haXrV8wMlnZcfHy5p/2a2/3j9VipPk6THWimvEZK+2Rp5NbOfYZKOXcBtmyTt29plsgU3ciQ0NUGPHul+5MhGl8h6NroAZmbVIuL8RpehUST1jIhZ7bCrJmBf4Mp22Jc1Y+RIGDoU3n8/PZ84MT0HGDKkceXq7hwkmVmHI2kYMD0izpK0KXAR8B5wD7BzRKyfV11R0t+BzwDXRcTxJXn9AtgNmAWMjohjJS0PnA+snlc7ApgELCLpj8CWwCvA7hExQ9KgvH4f4Fng4Ih4s1Z6nXqV1kXSgcCuQG+gr6TdgBuApYFewCkRcUPO42Rgf+AlYCowPqffCRwbEeMkDQDGRUSTpCbgcqBvLsb3I+I+4BfAOpImAJcC5+a0bYDFgN9FxAW16tIW9r5gbHvurkN54AHotzv0q0o/+Xa4cXrpJl3aqMO2aHQRAA+3mVnjLC5pQuUG/KzGepcAh0fEFsDsqmWDgL2BzwF7S1qluFDSp4A9gPUiYgPg9LzoXOCuiNgQ2Bh4PKevQQoO1gPeAvbM6ZcBP855PAqc2kx6LfXqsgVwQERsB8wE9oiIjYFtgf9VsgmwD7AR8A1g02b2BzAF2DHntXeuO8AJwN0RMSgifgscArwdEZvmfL8rabXqzCQNlTRO0ripU6e2YPfWEjNnzl+6tQ/3JJlZo8yIiEGVJ7k3ZXBxBUlLAf1yzwekoaGvFla5PSLezus+AQwk9bBUvEMKOC6UdAtwc07fjtQbQ0TMBt6WtDTwfERMyOuMB5ok9QeWioi7cvqlwJ9rpdeqbAvqcltEvFFZHfi5pC8Cc4CVgOWBrUk9Zu/nPG+stb+CXsB5uddrNrBmjfV2AjYozKXqTwoany+uFBHDgeEAgwcPjhbsv8U6Su9BIzSdmYbYqg0cCKM8INow7kkys45MzSz/oPB4NlU//PLcns2AvwBfB/6+MPktpObq8l7h8RBgWWCTHEi+RhqKA6gVmMxibpveu5D+w7z9hqQgdNE65ftB7lkaFBGrRcToZspsreSMM6BPn3nT+vRJ6dY4DpLMrMPK83velbR5TtpnfraXtATQPyL+ChxDGp4DuJ00DwlJi0hask4Z3gbelLR1TtqPNFRXmt5KdekPTImIjyRtS+ohAxgD7CFpcUn9gK8VtnkB2CQ/Lv6zrj8wOSLm5DIuktPfZd4pMLcCR0jqBSBpTUl9sXYxZAgMH556jqR0P3y4J203mofbzKyjOwT4o6T3gDuBt+dj237ADZJ6k3pKfpjTjwaGSzqE1GN0BDC5Tj4HAOdL6gM8BxzUTPrC1mUkcJOkccAE4CmAiHhI0qicNhG4u7DNWcDVkvYD7iik/x74i6S9gH8yt8fqEWCWpIeBEcA5pH+8PSRJpEnhX2+mPtaKhgxxUNTRKKJVh5Q7lcGDB8e4ceMaXQzrhiSNj4jBza9pkpaIiOn58QnAChFxdIOLtUC6Ul3Abag1Rnu2n+5JMrOObldJJ5Laq4nAgY0tzkLpSnUx6/IcJJlZhxYRo4BRjS5Ha+hKdTHrDjxx28zMzKyEgyQzMzOzEg6SDPCFFc3MzKq1a5Ak6WJJU4pX2pa0oaSxkh6VdFO985VI2lHS+LzueEnbFZZ9O6c/Iunv+dpF1gKVCytOnAgRcy+s6EDJzMy6s/aeuD0COI90vaOKC0kXZbxL0sHAccBPamw/DfhaREyStD7p5GcrSepJOsfHuhExTdKvgO8Dw9qmGi3XGS7Y2JkvrNidL2NgZmZtq117kiJiDPBGVfJapLPIAtzG3AtKlm3/74iYlJ8+DvSWtBjpJHEiXT1bwJKkK3p/gi/O+Em+sKKZmdkndYRTADwG7AbcAOwFrFJ/9Y/tCfw7Ij4AkHQE6Src7wH/BY4s26gtL85YpjP0dPjCimZmZp/UESZuHwwcKWk8acTnw+Y2kLQe8EvgsPy8F+myAhsBK5JOt39iWxW4q/GFFc3MzD6p4UFSRDwVETtFxCbAVcCz9daXtDJwHbB/RFTWHZTzejbSdVauBrZsw2J3Kb6wopmZ2Sc1fLhN0nIRMUVSD+AU4Pw66y4F3AKcGBH3Fha9AqwradmImArsCDzZluXuanxhRTMzs3m19ykArgLGAmtJejlfgfvbkv5Dusr1JOCSOll8H/gs8BNJE/JtuTyZ+zRgjKRHSD1LP2/TypiZmVmX1q49SRHx7RqLzmnh9qcDp9dYdj51eqHMzMzM5kfD5ySZmZmZdUQNn5NURtKXSf9eK3o+IvZoRHnMzMys++mQQVJE3Eo6m7aZmZlZQ3i4zczMzKyEgyQzMzOzEg6SzMzMzEo4SDIzMzMr4SDJzMzMrISDJDMzM7MSDpLMzMzMSjhIMjMzMyvhIMnMzMyshIMkMzMzsxIOkszMzMxKOEgyMzMzK+EgyczMzKyEgyQzMzOzEg6SzMzMzEo4SDIzMzMr4SDJzMzMrISDJDMzM7MSDpLMzMzMSjhIMjMzMyvhIMnMzMyshIMkMzMzsxIOkszMzMxKOEgyMzMzK+EgyczmIWm2pAmSHpb0kKQtFzCfEZK+OZ/bTF+A/bwwv9vk7baRdPOCbGvWCCNHQlMT9OiR7keObHSJur52DZIkXSxpiqTHCmn/I+mR3CiPlrRine3XljRW0geSjq1a9kNJj0t6TNJVknq3ZV3agz8Q1iAzImJQRGwInAic2egClZG0SKPLUNEeZZHUszPmba1j5EgYOhQmToSIdD90qL8X2lp7fzBGAOcBlxXSfh0RPwGQdBTwU+DwGtu/ARwFfL2YKGmlnL5uRMyQdDWwT95fp1T5QLz/fnpe+UAADBnSuHJZt7Mk8CaApCWAG4ClgV7AKRFxQ162P3AsEMAjEbFf3v6Lkv4f8Gng+Ii4Jq9/HPAtYDHguog4tbhTSQJ+Beyc8zw9IkZJ2gY4FZgMDALWBabmbVYARuUy9wSOiIi7q/L9CnA2MA14qJDeF/g/4HN522ERcYOkPqR2ZG3gSaAJODIixuVer98AXwZ+JGlGfr5Ezv/AiJgs6TPA74BlgfeB70bEU1Xl+hRwMbB6XmdoRDwiaRiwYt7vNGDfwjbbAKcBr+VjcS3wKHA0sDjw9Yh4VtLAnPey+VgdFBEvShpBalM3Ah6S9NOyY0AXs/cFYxtdhAXywAPQb3foV5V+8u1w43z3v3YMow7botFFaFa7BkkRMUZSU1XaO4WnfUkNYq3tpwBTJO1asrgnsLikj4A+wKSFLW8jP0wd8QPRGd7Q1ioWlzQB6A2sAGyX02cCe0TEO5IGAPdLupEUqJwMfCEipuUv/IoVgK1IQcaNwDWSdgLWADYDBNwo6YsRMaaw3TdIX/wbAgOAByVVlm8GrB8RzwNExKY5fV/g1og4I/fs9ClWKvcu/zHX5xlSQFVxMnBHRBwsaSngX5L+ARwBvBkRG0haH5hQ2KYv8FhE/FRSL+AuYPeImCppb+AM4GBgOHB4RPxX0ueB3xeOacVpwL8j4uuStiP9kByUl20CbBURM/ikDYF1SMHOc8CFEbGZpKOBHwDHkH+YRsSlkg4GzmXuD801gR0iYrakn5cdg4h4r+o4DgWGAqy66qolRbK2MHPm/KVb6+gQXaySzgD2B94Gtp3f7SPiFUlnAS8CM4DRETG6xr46xQfcHwhroBkRMQhA0hbAZTlAEPBzSV8E5gArAcuTvvCviYhpABHxRiGv6yNiDvCEpOVz2k759u/8fAlS0FQMkrYCroqI2cBrku4CNgXeAf5VCZCqPAhcnAOW6yNiQtXytYHnI+K/uW5XkNuCXJ7dCsP4vYFVcznOyfV6TNIjhfxmA3/Jj9cC1gduS51gLAJMzr1vWwJ/zumQes+qbQXsmfdzh6RlJPXPy26sESABPBgRk3N9ngUq7d6jzG1LtyAFnQCXk3roKv6cj3G9Y/BkcYcRMZwU+DF48OCaP2o7qs76Y6/pzDSiUG3gQBh1ZfuXp7voEEFSRJwMnCzpROD7pO70FpO0NLA7sBrwFqlB+k5EXFGyrxZ/wBv5YfIHwjqCiBibe42WBXbJ95tExEd5wnRvUvBU67P0QeGxCvdnRsQFdXatOsveK0vMPdVfBHYFLpf064i4rHq1OvvbMyKeniexENmUmFkIMAQ8HhHzNBqSlgTeqgSddZTtp1LW0vpmxeM7p/B8DrXb9+IxKOZdegysYzjjjHmnYAD06ZPSre10tH+3XUn+NTWfdiD9QpwaER+RxuYX6B85HcUZZ6QPQJE/ENbeJK1N6hV5HegPTMkB0rbAwLza7cC3JC2Tt/lUaWZz3QocnHtZkLSSpOWq1hkD7C1pEUnLAl8E/tVMWQfm8v0RuAjYuGqVp4DV8hwhgG9XlekHlaBI0kY5/R7S3CkkrUuar1PmaWDZ3POGpF6S1svTCZ6XtFdOl6QNS7YfAwzJ62wDTKuairAw7iPN0STv454a69U6BtYBDBkCw4enH8pSuh8+3HNU21rDe5IkrVHp/gZ2IzVk8+tFYPM8yXIGsD0wrpWK2BCVN/7JJ8OLL8Kqq6YAyR8IaweVOUmQehcOyHNWRgI3SRpHmpvzFEBEPJ6HzO+SNJs0jHZgrcwjYrSkdYCx+ft4OvAdYEphtetIw0QPk3o+jo+IV3PQVss2wHF5XuJ00hB+cb8z83D7LZKmkYKF9fPi/yFN6H4kBwkvAF8lzR+6NA+z/Rt4hDQtoLpOHyqd7uDcPEzWM+f3OCkw+YOkU0gT3v+U61U0DLgk7+d94IA69ZxfR5GGIY8jT9yusV6tY2AdxJAh/g5ob4povyFlSVeRGrIBpH9knErqwl+L1D08kTTB8ZUa23+aFPwsmdefTvpH2zuSTgP2BmaRGrNDI+KDsnwqBg8eHOPGdepYyjopSeMjYnCjy2H15QngvXKA9RlSr9maEfFhg4vWIbgNtUZoz/azvf/d9u2S5IvmY/tXgZVrLDuV+ZzLZGbWjD7AP/NkcJFOK+AAyaybaPhwm5lZRxUR7wLu8TPrpjpkkCTpINIJ0YrujYgjG1EeMzMz637adU5SRyNpKmkeVEcygHRm3Y6sM5QROnY5B0bEso0uhNnCWMA2tCN/Lttad617a9e73drPbh0kdUSSxnX0Cb2doYzQecpp1p10589ld617Z653RztPkpmZmVmH4CDJzMzMrISDpI5neKML0AKdoYzQecpp1p10589ld617p6235ySZmZmZlXBPkpmZmVkJB0lmZmZmJRwkNZikvSQ9LmmOpJp/kZT0FUlPS3pG0gntXMZPSbpN0n/z/dI11pstaUK+3dhOZat7XCQtJmlUXv6ApKb2KJeZJZ2hjWsrHbntbAtdsT12kNR4jwHfAMbUWiFfZPN3wM7AusC3Ja3bPsUD4ATg9ohYg3SBz1oN2IyIGJRvu7V1oVp4XA4B3oyIzwK/BX7Z1uUys3l0hjaurXTItrMtdNX22EFSg0XEkxHxdDOrbQY8ExHP5Ytr/gnYve1L97HdgUvz40uBr7fjvutpyXEplv0aYHtJascymnVrnaSNaysdte1sC12yPXaQ1DmsBLxUeP5yTmsvy0fEZIB8v1yN9XpLGifpfknt0Ri05Lh8vE5EzALeBpZph7KZWcs1uo1rKx217WwLXbI97pAXuO1qJP0D+HTJopMj4oaWZFGS1qrnbqhXxvnIZtWImCRpdeAOSY9GxLOtU8JSLTkubX7szLq7ztDGtZVO2na2hS7ZHjtIagcRscNCZvEysErh+crApIXMcx71yijpNUkrRMRkSSsAU2rkMSnfPyfpTmAjoC0/6C05LpV1XpbUE+gPvNGGZTLrdjpDG9dWOmnb2Ra6ZHvs4bbO4UFgDUmrSVoU2Adoz39A3AgckB8fAHzil6GkpSUtlh8PAL4APNHG5WrJcSmW/ZvAHeEzqJp1NI1u49pKR20720KXbI8dJDWYpD0kvQxsAdwi6dacvqKkv8LHY7ffB24FngSujojH27GYvwB2lPRfYMf8HEmDJV2Y11kHGCfpYeCfwC8iok0/6LWOi6SfSar8Q+QiYBlJzwD/j9r/LjGzNtBJ2ri20iHbzrbQVdtjX5bEzMzMrIR7kszMzMxKOEgyMzMzK+EgyczMzKyEgyQzMzOzEg6SzMzMzEo4SDIzMzMr4SDJzMzMrISDJDMzM7MSDpLMzMzMSjhIMjMzMyvhIMnMzMyshIMkMzMzsxIOkuqQ9LikbRZw279JOiA/PlDSPQtRjo/z6q4kvSBph0aXY34s7Otu1tm4zew4WqvNlLSNpJdbo0ydUc9GF6C1SboT2BD4dER8sDB5RcR6C7HtzguynaRhwGcj4jsLm5eZWXPcZprV1qV6kiQ1AVsDAezW0MIYkrpcEN5eJC3S6DJY1+c2s2Nxm9nxdKkgCdgfuB8YAczT1SppF0lPSHpX0iuSjs3pAyTdLOktSW9IultSj7zs4+5KScMk/VnSFTmPRyWtKelESVMkvSRpp8L+7pR0aFkhJZ2T139H0nhJW+f0rwAnAXtLmi7p4eq8JPWQ/n97dx5n2T3nf/z17kSWlshOFkmXSJAIiShMYothbINGEKaQkNFhLGMbjBiCaTGGH8aWNLKgQktsjSEhhCCazghCLEFadp1FFlkknc/vj3NKbldOVVd119ZVr+fjcR/33rN8z+ecW3Xqfb7nW1V5U5KV7XY/kWSrdl5fkkpyaJI/JrkiyZEjHayRjkk7b2GSc9oaf9fWRpKdkyxrj9X5SV7Us85RSU5pj9G1wGFtvW9o27gyyWeTbNsuv1m77JXt8f9xkruN8vk+qK336iTHJ9msbefcJE/uqeNO7b7vN8J+vy7JpUkuSfLP7THbo523aZJ3t8fv8iTHJNm8nXdQkouSvKY99pcmeUFPu9u1x+baJD8C7jlsu/dJ8o322P06ybN65p2Q5CNJ/jfJX4BHjfb5SBPEc6bnzLWeM4cdg6HarmvbflrPvMOSfK89h16d5A9JntAz/x5Jvtuu+80kH0ryqXbeHW7rDft6enCSs9r9vjTJB5Ns0rPsY9OcV69J8uEk3+n9ekrywiTntXWdmmTB2vYVgKqaNQ/gfOBfgAcCtwB365l3KfDw9vU2wP7t66OBY4A7tY+HA2nnXQA8pn19FHAT8Dia25SfAP4AHNmu9yLgDz3bOwP45/b1YcD3euY9F9iubec1wGXAZj3b+dSw/ept64Xtfu4ObAF8HvhkO6+P5orwo8DmNF3oNwN7jXC8RjomDwauAf6BJkjvAtynnfcd4MPAZsB+wCrg0T213wI8tV1vc+CVNCfhuwObAscCn26XPwL4MjAf2Kj93O4yQq0XAOcCuwLbAt8H/rOd9zpgac+yC4Gfj9DO49vjfd92u59sj9ke7fz3AcvabWzZ1nd0O+8g4Fbgbe1n/kTgBmCbdv5ngM8Cdwb2AS4e+tzbaRcCL2g/9/2BK4D7tvNPaI/5Q9tjt9lIn48PHxP1wHNmH54zYfRz5kHART3vnwns3NZ7CPAXYKeez+2W9rPdCHgJcAm3f32cBbwb2AR4GHDt0Gc3fDsdX08PBP6u/RroA84DXtnO275t6+nt/H9t6xj6Gnhq+zWwVzv/TcAPxvQ9Mt3fpBP4zf6w9qBs377/FfCqnvl/bL/A7jJsvbcBX6L9ITnKB3QU8I2eeU8Grgc2at9vSfPNtvXavuE7tnM1sO8Yv+FPB/6lZ9692/0e+sIp4O49838EPHuE7Y50TI4F3tux/K7AamDLnmlHAyf01P7dYeucR3tCaN/v1FPvC4EfAPcfw+d7AfDinvdPBH7Xvt4ZuG5oP4BTgNeN0M5xtKGnfb9He8z2AELzDX/PnvkH0J7Iab6JbwQ27pn/J5pv3I3a/bpPz7x3cHtIOgQ4s+M4v6V9fQLwibF8Pj58TMQDz5meM8d2zjyIYeFl2PxzgIU9n9v5PfPmt8d3R2A3movM+T3zP8UYQ1LHdl8JfKF9/XzgrJ55obkoHfoa+BpweM/8eTQXuAvWdhxn0+22Q4HTquqK9v1JrNl9fDDNF8nKthvugHb6f9MkzNOS/D7JG0bZxuU9r28Erqiq1T3voblSGVWa2zXntd2Cfwa2oknCY7EzsLLn/Uqab57eLtfLel7fMEpNIx2TXYHfjbDtq6rqumHb36Xn/YXD1lkAfKHtIv0zzQlgdVvvJ4FTgc+kufX1riR3GqHW4W2vbOuhqi6huUo6OMnWwBOAwRHa2ABwT/wAACAASURBVHlYO72vd6D5pj67p96vt9OHXFlVt/a8Hzq+O9B8DsNrHLIAeMhQu23bAzQnj65aYOTPR5oInjNv5zlz5HPmGpI8v72tOFTfPqz5WfztWFbVDe3LLbj9WNzQs+zwfR9tu/dKc5v3svbW5Dt6trvGeb2aJNR7624B8P6emq+iCVK9n0OnWRGS0owZeRbwyPYAXga8Ctg3yb4AVfXjqloI3BX4Is1tEarquqp6TVXtTnOl8+okj57EWh8OvL6td5uq2pqmmzbtIrWWJi6h+cCHDKXzy7sXH9lIx4Tmi+2eHatcAmybZMth27+4t9lh61wIPKGqtu55bFZVF1fVLVX11qraGzgQeBLNFcFIdh223Ut63p9I0yX/TJorit6ael1K043d1eYVNCfu+/bUulVVrfUkTtOFfmtHjUMuBL4z7DhsUVUv6VlmjWM3yucjrRfPmZ4zGfs582/acTwfBV4GbNd+Fudy+2cxmktpjsX8Eer7C81F6tC2NmLNC9SP0PR27llVd6EZiza03TXO60nCmuf5C4Ejhh3TzavqB2srelaEJJr7jauBvWnu+e5Hc+/xTOD5STZJMpBkq6q6hebe5WqAJE9Kskd7UIemr+7ayATZkuYbdBWwcZI3A3fpmX850Jd2IGSHTwOvagfAbUGTppcO691Yq9GOCfBx4AVJHp1mEOEuSe5TVRfSdPUenWYA4f2Bwxn9CuQYYPHQILkkOyRZ2L5+VJL7td8M19J0KY927F+a5O5pBjG+EVjaM++LNON8/pVm7MNIPtvu217tN+ubh2ZU1W00J4D3JrlrW+MuSR43SntD666mGetwVJL5SfZmzavyrwD3SvK8NIMk75TkQUn26mpvLZ+PtL48Z3rOHOs5s9edaULdqraeF9D0JK1VVa0EVtCcIzdpe+Ge3LPIb4DNkvxj2zv2JpoxWUO2pNnn65Pch2a805CvAvdL8tQ0vyH4UtbspT8G+Pck923r3irJM8dS92wJSYcCx1fVH6vqsqEH8EGaWxoAzwMuaLvpXkyToAH2BL5Jc6/8LODDVXXGJNZ6Ks390d/QdH/exJpdjie3z1cm+b+O9Y+j6XL9Ls0gyJuAl69jLZ3HpKp+RDPA+L00V2zf4fYrsefQ3Me/BPgCzZiab4yyjffTDIQ+Lcl1NAMSH9LO25HmXvi1NF3K36G5Rz2Sk4DTgN+3j/8cmlFVNwKfA+5BE1Y6VdXXgP8Bvk1zy+CsdtbQ34d5fTv9h+1x+SbNGIaxeBlNt/JlNGOMju/Z7nXAY4Fn0xy7y4D/Ys2TwHAjfc1K68tz5rqZc+fMXlX1S+A9NJ/75cD9aG7bjdUAzTjPK9taltKee6vqGppfIvgYTU/bX1jzltlrgX+iGUv1UXoCX3vL+JnAu9q296YJZENtf4HmfPuZ9rM7l+YW41oNjTiXNnjtFea9quePyo1hnb1ovmE2He+VpSRtyNblnDnB218K/Kqq3jLB7c6jCVgDVfXt9WlrtvQkaY5ru5MPB5aMYdmntd2929BcXXzZgCRpLhnPOXMCt/mgJPdsb0k+nuZPD3xxgtp+XJKtk2zK7eOVfri+7RqStMFL88fZLgS+VlXfHcMqR9DcU/8dzf38l4y+uCTNHutwzpwoO9L8eYbraYY9vKSqfjJBbR9Ac06/gmas01PbW4rrxdttkiRJHexJkiRJ6jCn/5ne9ttvX319fdNdhuags88++4qq2mHtS0ozl+dQTYepPH/O6ZDU19fHihUrprsMzUFJVq59KWlm8xyq6TCV509vt0mSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEnSDJDkyCS/SPKzJOckecja1xpX+6P+x/Mk10/k9tbH4CD09cG8ec3z4Gj/DlaaRHP6t9skaSZo/yP6k4D9q+rmJNsDm0zkNqrqwIlsb7IMDsKiRXDDDc37lSub9wADAyOvJ02GDT4kJTkIeG1VPWm6a5krBgfhyCPhj3+E3XaDxYs9eUnraSfgiqoa+q/lVwAkuYDmv50/ql3un6rq/CRPBt5EE6SupPlHnpcnOQrYDdi9fX5fVf1P29b1VbVFkp3aNu9C8zPgJVV1ZrvMYpqwdiOwsKouX9cdOuTYs9ZpveXLYcuFsOWw6UeeDsvWsa9r6REHrNuKmvO83aZxGbrKW7kSqm6/yrM7XFovpwG7JvlNkg8neWTPvGur6sHAB4H3tdO+B/xdVT0A+Azwup7l7wM8Dngw8JYkdxq2rX8CTq2q/YB9gXPa6XcGflhV+wLfBV7UVWiSRUlWJFmxatWqdd3fEd100/imS5NpRvQkJekDvk77jQ/8FDgeeCtwV2Con+J9wOY0VzkvqKpfD2vnzsAHgPvR7NtRVfWlda1rXa+EZrPJuMqbjbxy1XhU1fVJHgg8nKbXaGmSN7SzP93z/N729d3bZXai6U36Q09zX217pG5O8ifgbsBFPfN/DBzXhqcvVtVQSPor8JX29dnAP4xQ6xLa/xzf398/4j//XNfvgb6jm4uv4RYsgKUnrVOT0jqbST1JewDvB+5PcyX0T8DDgNcCbwR+BTyivXJ6M/COjjaOBL5VVQ+iOdH8dxuc/mayr4JmO6/ypMlRVaur6oyqegvwMuDgoVm9i7XPHwA+WFX3A44ANutZ5uae16sZdjHc/tf3RwAXA59M8vx21i11+388v8N6U2XxYpg/f81p8+c306WpNiN6klp/qKqfAyT5BXB6VVWSnwN9wFbAiUn2pDlRDO9CBngs8JQkr23fb0ZzX/68oQXGehUE9gZ08SpPmnhJ7g3cVlW/bSftB6yk6RU/BHhn+zzUvb0VTcgBOHSc21oAXFxVH20vIvcHPrF+ezBxhsY3Ou5RM8FMCkm9Vz+39by/jabOtwPfrqqntbfnzuhoI8DBw2/DaeIsXrzmb56AV3nSBNgC+ECSrYFbgfOBRTSDqDdNspym5/857fJHAScnuRj4IXCPcWzrIODfktwCXA88f/TFp97AgKFIM8NMCklr03vldNgIy5wKvDzJy9teqAdU1U+mpLo5wqs8aeJV1dnAHX5FPwnAh6rqrcOW/xJwh/GWVXXUsPf79Lzeon0+ETixY90tel6fApwyzt2QZp2ZNCZpbd4FHJ3k+8BGIyzzdprbcD9Lcm77XhNsYAAuuABuu615NiBJkmajGdGTVFUXAL1XPIeNMO9ePav9Rzv/DNpbb1V1I80gRkna4FVV33TXIM1lG1JPkiRJ0pQxJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEmSJHUwJEnSDJJkdZJzeh5vWI+2rm+fd05yyijL9SU5d123o+kzOAh9fTBvXvM8ODjdFc0uG093AZKkNdxYVftNZINVdQnwjIlsU9NvcBAWLYIbbmjer1zZvAcYGJi+umYTQ5IkbQCSXACcCDwZuBPwzKr6VZIdgJOA7YAfA48HHlhVV/Ss2wd8par2SXJf4HhgE5q7CQcDtwAbJfkocCBwMbCwqm6cmr2bHocce9Z0l7Beli+HLRfClsOmH3k6LLt+WkqaMEuPOGC6SwC83SZJM83mw263HdIz74qq2h/4CPDadtpbgG+1078A7LaW9l8MvL/treoHLmqn7wl8qKruC/yZJjzdQZJFSVYkWbFq1ap12kFNjJtuGt90jZ89SZI0s4x2u+3z7fPZwNPb1w8DngZQVV9PcvVa2j8LODLJ3YHPV9VvkwD8oarO6Wm/r2vlqloCLAHo7++vte/OzDVTeivWVd/RzS224RYsgKUnTX09s5E9SZK04bi5fV7N7Re5GU8DVXUS8BTgRuDUJH8/rO3h7WuGWrwY5s9fc9r8+c10TQxDkiRt2L4HPAsgyWOBbUZbOMnuwO+r6n+AZcD9J71CTYqBAViypOk5SprnJUsctD2RvFKQpJll8yTn9Lz/elWN9mcA3gp8uh279B3gUuC6UZY/BHhukluAy4C3AXdZz5o1TQYGDEWTyZAkSTNIVW00wvS+ntcrgIPat9cAj6uqW5McADyqqm5ul9uifb4A2Kd9fTRw9LDmrxqa3y7z7gnYFWmDZ0iSpA3bbsBnk8wD/gq8aJrrkWYNQ5IkbcCq6rfAA6a7Dmk2cuC2JElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSB0OSJElSh0kNSUlekeS8JIOT1P5RSV47GW1r7QYHoa8P5s1rngcn5VOWJGl6THZP0r8AT6yqgUnejqbY4CAsWgQrV0JV87xokUFJGoskq5Ock+SnSf4vyYHt9J2TnNK+PijJV9rXT0nyhims72/bVsOLwrlp48lqOMkxwO7AsiSfAe4J3K/d5lFV9aUkhwFPBTYC9gHeA2wCPA+4mSZgXZXkRcCidt75wPOq6oZh27sn8CFgB+AG4EVV9avJ2r/xOOTYs6a7hAm3fDlsuRC2HDb9yNNh2fXTUtKkWnrEAdNdgmaXG6tqP4AkjwOOBh5ZVZcAzxi+cFUtA5ZNbYkaMnRReEP7U2foohBgwC6AWW3SQlJVvTjJ44FHAa8GvlVVL0yyNfCjJN9sF90HeACwGU0Aen1VPSDJe4HnA+8DPl9VHwVI8p/A4cAHhm1yCfDiqvptkocAHwb+fnhdSRbRBC522223Cd3nueSmm8Y3XdKI7gJcDZCkD/hKVe3Tu0B7QdlfVS9LcgJwLdAP7Ai8rqpOSTIP+CDwSOAPNHcKjmvnXdCuf0WSfuDdVXVQkgfTnGM3B24EXlBVv57k/Z0xxnoBu74XhV5kbbgmLSQN81jgKT3jhzYDhhLKt6vqOuC6JNcAX26n/xy4f/t6nzYcbQ1sAZza23iSLYADgZOTDE3etKuQqlpCE6jo7++v9dyvMZmN3yB9RzdXU8MtWABLT5r6eqQNzOZJzqE5F+5ExwXdWuwEPAy4D00P0ynA04E+mh77uwLnAcetpZ1fAY+oqluTPAZ4B3DwaCvMxQtNLwrnrqkKSQEOHn6F0vb43Nwz6bae97dxe30nAE+tqp+2V1QHDWt/HvDnoe5rTb7Fi9fsfgaYP7+ZLmmtem+3HQB8Isk+a1mn1xer6jbgl0nu1k57GHByO/2yJN8eQztbAScm2RMo4E5rW2E6LjQny1gvYL0onLum6k8AnAq8PG03T5IHjHP9LYFLk9wJuMMd4Kq6FvhDkme27SfJvutZs0YxMABLljQniaR5XrLE+/PSeFXVWcD2NOMpx6r34jLDnrvcyu3n+816pr+dpjd/H+DJw+aptXhxcxHYy4vCuWGqQtLbaa5Qfpbk3Pb9ePwHsBz4Bk33cJcB4PAkPwV+ASxcx1o1RgMDcMEFcNttzbMBSRq/JPeh+eWVK9ezqe8BByeZ1/YuHdQz7wLgge3r3ttpWwEXt68PW8/tz1peFM5dk3q7rar6et4e0TH/BJpbaXdYvndeVX0E+EjH+kf1vP4D8Pj1q1iSpsTQmCRoeoAOrarVPWMq18XngEcD5wK/obmwvKad91bg40ne2E4f8i6a222vBr61Phuf7QYGDEVzUao26FvK66W/v79WrFgx3WVoDkpydlX1T3cdml2SbFFV1yfZDvgR8NCqumyytuc5VNNhKs+fUzVwW5I0+b7S/pmVTYC3T2ZAkuYCQ5IkzRJVddB01yDNJv6DW0mSpA5zekxSklVAx1+/mHDbA1dMwXbGy7rGZyLrWlBV4/mVb2nGmcJz6JCZem6YKLN5/zbI8+ecDklTJcmKmThI17rGZ6bWJc0Vs/17cDbv34a6b95ukyRJ6mBIkiRJ6mBImhpLpruAEVjX+MzUuqS5YrZ/D87m/dsg980xSZIkSR3sSZIkSepgSJIkSepgSJoESZ6Z5BdJbksy4q88Jnl8kl8nOT/JG6agrm2TfCPJb9vnbUZYbnWSc9rHskmqZdR9T7JpkqXt/OVJ+iajjnWo67Akq3qOzz9PRV3SXDRTz6UTZSadkyfKTD23rytD0uQ4F3g68N2RFkiyEfAh4AnA3sBzkuw9yXW9ATi9qvYETm/fd7mxqvZrH0+Z6CLGuO+HA1dX1R7Ae4H/mug61rEugKU9x+djk12XNIfN1HPpRJkR5+SJMlPP7evDkDQJquq8qvr1WhZ7MHB+Vf2+qv4KfAZYOMmlLQRObF+fCDx1krc3krHse2+tpwCPTpIZUJekKTKDz6UTZaackyfKTD23rzND0vTZBbiw5/1F7bTJdLequhSgfb7rCMttlmRFkh8mmYxv2rHs+9+WqapbgWuA7SahlvHWBXBwkp8lOSXJrpNck6TRTce5dKLMlHPyRJmp5/Z1tvF0F7ChSvJNYMeOWUdW1ZfG0kTHtPX+ewyj1TWOZnarqkuS7A58K8nPq+p361tbj7Hs+6Qcn7UYyza/DHy6qm5O8mKaK6K/n+S6pFlrpp5LJ8oGck6eKDP13L7ODEnrqKoes55NXAT09kLcHbhkPdscta4klyfZqaouTbIT8KcR2rikff59kjOABwAT+Q05ln0fWuaiJBsDWwFXTWAN61RXVV3Z8/ajzPD76dJMN1PPpRNlAzknT5SZem5fZ95umz4/BvZMco8kmwDPBib7txaWAYe2rw8F7nCVlmSbJJu2r7cHHgr8coLrGMu+99b6DOBbNfl/+XStdbUnsiFPAc6b5JokjW46zqUTZaackyfKTD23r7uq8jHBD+BpNGn5ZuBy4NR2+s7A//Ys90TgNzRXBEdOQV3b0fwGxW/b523b6f3Ax9rXBwI/B37aPh8+SbXcYd+BtwFPaV9vBpwMnA/8CNh9ij67tdV1NPCL9vh8G7jPdH+9+fAxWx8z9Vw6gfs3Y87JE7hPM/Lcvq4P/y2JJElSB2+3SZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkjVOSXyQ5aB3X/VqSQ9vXhyX53nrU8be25qokFyR5zHTXMVyShyf59XTXIUlaPxtPdwFTIckZwL7AjlV18/q0VVX3XY91n7Au6yU5Ctijqp67vm1p8lXVmcC9p7sOSdL6mfU9SUn6gIcDBTxlWosRSWZ8MN8QapQkTb5ZH5KA5wM/BE4A1rg9leSJSX6Z5LokFyd5bTt9+yRfSfLnJFclOTPJvHbe327xJDkqyclJPtW28fMk90ry70n+lOTCJI/t2d4ZSf65q8gk72+XvzbJ2Uke3k5/PPBG4JAk1yf56fC2ksxL8qYkK9vtfiLJVu28viSV5NAkf0xyRZIjRzpYIx2Tdt7CJOe0Nf6urY0kOydZ1h6r85O8qGedo5Kc0h6ja4HD2nrf0LZxZZLPJtm2XX6zdtkr2+P/4yR3G+XzfVBb79VJjk+yWdvOuUme3FPHndp9369jnw9KclGS1ye5DDi+nf6kdn//nOQHSe7fs87+SX7SHqeTkyxN8p+97fUsu1f7ef25vV37lJ55JyT5UJKvtm0tT3LPUfZXkjRF5kpIGmwfjxv2A/fjwBFVtSWwD/CtdvprgIuAHYC70YSUGqH9JwOfBLYBfgKcSnNcdwHeBhw7xjp/DOwHbAucBJycZLOq+jrwDmBpVW1RVft2rHtY+3gUsDuwBfDBYcs8jOYW0KOBNyfZa4Q6Oo9JkgcDnwD+DdgaeARwQbvOp2mO187AM4B3JHl0T5sLgVPa9QaBVwBPBR7ZrnM18KF22UOBrYBdge2AFwM3jlArwADwOOCewL2AN7XTPwE8t2e5JwKXVtU5I7SzI82xXwAsSrI/cBxwRFvHscCyJJsm2QT4Ak3w3rbd/6d1NZrkTsCXgdOAuwIvBwaT9N6Oew7wVpqvofOBxaPsryRpiszqkJTkYTQ/9D5bVWcDvwP+qWeRW4C9k9ylqq6uqv/rmb4TsKCqbqmqM6tqpJB0ZlWdWlW3AifTBKt3VtUtwGeAviRbr63WqvpUVV1ZVbdW1XuATRn7uJYB4P9V1e+r6nrg34FnZ83bRm+tqhur6qfAT2nGaHUZ6ZgcDhxXVd+oqtuq6uKq+lWSXWkC2Our6qY2hHwMeF5Pm2dV1Rfb9W6kCR5HVtVF7Rixo4BntPXeQhNK9qiq1VV1dlVdO8q+f7CqLqyqq2jCxXPa6Z8CnpjkLu3759GE2ZHcBrylqm5ua3wRcGxVLW/rOBG4Gfi79rEx8D/t18fngR+N0O7f0YTWd1bVX6vqW8BXeuoE+HxV/aj9GhqkCcuSpGk2q0MSTa/EaVV1Rfv+JNa85XYwTQ/DyiTfSXJAO/2/aa7oT0vy+yRvGGUbl/e8vhG4oqpW97yH5ofkqJK8Jsl5Sa5J8mea3pTt17Zea2dgZc/7lTQ/xHt7zS7reX3DKDWNdEx2pQmZXdu+qqquG7b9XXreXzhsnQXAF9rbT38GzgNWt/V+kqY37jNJLknyrrY3ZiS9ba9s66GqLgG+DxzchtQn0ASQkayqqpuG1fiaoRrbOndt298ZuHhYcB6+j0N2Bi6sqtuG1dl7fMb62UiSptCsDUlJNgeeBTwyyWXtWJNXAfsm2Regqn5cVQtpboN8EfhsO/26qnpNVe1Oczvt1cNuH010rQ8HXt/Wu01VbQ1cA6RdZKRerCGX0PxQH7IbcCtrBrgxGemY0ISArrEylwDbJtly2PYv7m122DoXAk+oqq17Hpu1vVO3VNVbq2pv4EDgSTS3TEey67DtXtLz/kSaW27PpOnN6q1puK4aFw+rcX5VfRq4FNglSXqW35VulwC7ph3T1lPnaLVIkmaAWRuSaMa8rAb2prl9sR+wF3Am8PwkmyQZSLJVe2vs2nb5oQG7e7Q/BIemr+7ayATZkibUrAI2TvJm4C498y+nuW030uf1aeBVSe6RZAtuH8N063iKGO2Y0IxVekGSR7cDr3dJcp+quhD4AXB0O+j6/jS35kbrtTkGWJxkQbvdHZIsbF8/Ksn9kmzUbv8WRj/2L01y93bg9xuBpT3zvgjsD/wrzRil8fgo8OIkD0njzkn+sQ2DZ7U1vSzJxm3tDx6hneXAX4DXtYPHD6IJ3p8ZZz2SpCk2m0PSocDxVfXHqrps6EEzoHmgXeZ5wAVpfuvqxdw+0HdP4JvA9TQ/ED9cVWdMYq2nAl8DfkNzK+Ym1rx9c3L7fGWS/+OOjqO5TfVd4A/t+i9fx1o6j0lV/Qh4AfBeml6u73B779VzgD6aXpMv0Izt+cYo23g/sIzmduZ1NL99+JB23o40g7yvpbkN9x2a8UUjOYlmUPTv28d/Ds1oxxZ9DrgH8Pm17nmPqlpBMy7pgzQDy8+nGRxPVf0VeDpNGPwzzTH6Cs2YpeHt/JXmT088AbgC+DDw/Kr61XjqkSRNvYw8Hlna8LW9cvfq/UOck7Sd5cAxVXX8ZG5HkjR1ZnNPkua49hbc4cCSSWj7kUl2bG+3HQrcH/j6RG9HkjR9DEmaldL8QcsLga9V1XcnYRP3pvlTCtfQ/F2tZ1TVpZOwHUnSNPF2myRJUgd7kiRJkjrM6X/kuf3221dfX990l6E56Oyzz76iqnaY7jokSSOb0yGpr6+PFStWTHcZmoOSrFz7UpKk6eTtNkmSpA6GJEmSpA6GJEmSpA6GJEmSpA7THpKSvDfJK3ven5rkYz3v35Pk1eNs85VJ5k9knbPd4CD09cG8ec3z4Gj/nlaSpDlg2kMSzX+QPxCg/S/32wP37Zl/IPD9cbb5SsCQNEaDg7BoEaxcCVXN86JFBiVJ0tw2E/4EwPdp/rM8NOHoXGCnJNsANwB7AT9J8m/As4BNgS9U1VuS3Bn4LHB3YCPg7cDdgJ2Bbye5oqoeNaV7MwMdcuxZo85fvhy2XAhbDpt+5Omw7PqR11t6xAHrX5wkSTPUtIekqrokya1JdqPpNToL2AU4gOb/Yv0MOAjYE3gwEGBZkkcAOwCXVNU/AiTZqqquaW/PPaqqrhi+vSSLgEUAu+2222Tv3gbhppvGN12SpLlgRvzvtiSDwJeBJwD/jyYkHUgTkrajCXPPAP7crrIFcDRwJnAqTW/SV6rqzLa9C4D+rpDUq7+/v/xjks0Ya9I2OAAADnRJREFUpJUdf9pwwQK44IKprmZuSHJ2VfVPdx2SpJHNhDFJcPu4pPvR3G77IU1P0tB4pABHV9V+7WOPqvp4Vf0GeCDwc+DoJG+envI3bIsXw/xhI7jmz2+mS5I0V82UkPR94EnAVVW1uqquAramCUpn0fQWvTDJFgBJdkly1yQ7AzdU1aeAdwP7t+1dxx2H2GgEAwOwZEnTc5Q0z0uWNNMlSZqrpn1MUuvnNL/VdtKwaVu0t8xOS7IXcFYSgOuB5wJ7AP+d5DbgFuAl7bpLgK8ludSB22MzMGAokiSp14wYkzRdHJOk6eKYJEma+WbK7TZJkqQZxZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUwZAkSZLUYVpCUpIjk/wiyc+SnJPkIevQxkFJDux5f0KSZ0xspeoyOAh9fTBvXvM8ODjdFUmSNPE2nuoNJjkAeBKwf1XdnGR7YJN1aOog4HrgBxNYntZicBAWLYIbbmjer1zZvAcYGJi+uiRJmmhTHpKAnYArqupmgKq6AiDJo4F3tzX9GHhJG6IuAPqr6ook/e0yhwEvBlYneS7w8rbtRyR5NbAj8LqqOmV9Cj3k2LPWZ/VZafly2HIhbDls+pGnw7Lrp6WkGWnpEQdMdwmSpPU0HbfbTgN2TfKbJB9O8sgkmwEnAIdU1f1ogtJLRmqgqi4AjgHeW1X7VdWZ7aydgIfR9FS9s2vdJIuSrEiyYtWqVRO2U3PFTTeNb7okSRuqKe9JqqrrkzwQeDjwKGApcDTwh6r6TbvYicBLgfeNs/kvVtVtwC+T3G2E7S8BlgD09/fXaI3ZG3BHfUc3t9iGW7AAlp409fVIkjRZpmXgdlWtrqozquotwMuAx4yy+K3cXudma2n65p7XWY8SNYLFi2H+/DWnzZ/fTJckaTaZ8pCU5N5J9uyZtB9wOdCXZI922vOA77SvLwAe2L4+uGe967jj0BhNsoEBWLKk6TlKmuclSxy0LUmafaZj4PYWwAeSbE3TS3Q+sAj4NHBykqGB28e0y78V+HiSNwLLe9r5MnBKkoXcPnBbU2BgwFAkSZr9UjXqsJxZrb+/v1asWDHdZWgOSnJ2VfVPdx2SpJH5F7clSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6GJIkSZI6rDUkJakk7+l5/9okR41nI0kOSnJgz/sTkjxjXJWOb3uHJdl5stqfDQYHoa8P5s1rngcHp7siSZJmlrH0JN0MPD3J9uuygSQbAwcBB65l0Yl0GGBIGsHgICxaBCtXQlXzvGiRQUmSpF4bj2GZW4ElwKuAI3tnJFkAHAfsAKwCXlBVf0xyAnAV8ID2+aHA6iTPBV7erv6IJK8GdgReV1WntG3+G/AsYFPgC1X1lnb6F4Fdgc2A91fVkiQbAR8H+oFqa7mwfT+Y5EbggKq6cbwHZkNyyLFnjWv55cthy4Ww5bDpR54Oy64feztLjzhgXNuVJGlDMtYxSR8CBpJsNWz6B4FPVNX9gUHgf3rm3Qt4TFUdDBwDvLeq9quqM9v5OwEPA54EvBMgyWOBPYEHA/sBD0zyiHb5F1bVA2kC0CuSbNcus0tV7VNV9wOOb8PWCmCg3d4aASnJoiQrkqxYtWrVGHd/drnppvFNlyRpLhpLTxJVdW2STwCvAHpDxwHA09vXnwTe1TPv5KpaPUqzX6yq24BfJrlbO+2x7eMn7fstaELTd2mC0dPa6bu2038N7J7kA8BXgdPGsC9LaHrG6O/vr7UtvyEYb49O39HNLbbhFiyApSdNUFGSJG3gxvPbbe8DDgfuPMoyvaHjL2tp7+ae1+l5PrrtAdqvqvaoqo8nOQh4DM2ts31pQtRmVXU1sC9wBvBS4GNj3Zm5bPFimD9/zWnz5zfTJUlSY8whqaquAj5LE5SG/AB4dvt6APjeCKtfxx2HwHQ5FXhhki0AkuyS5K7AVsDVVXVDkvsAf9fO3x6YV1WfA/4D2H+c25uTBgZgyZKm5yhpnpcsaaZLkqTGmG639XgP8LKe968AjmsHW68CXjDCel8GTkmykNsHbt9BVZ2WZC/grCQA1wPPBb4OvDjJz2husf2wXWUX4PgkQ2Hv39vnE4Bj5srA7XUxMGAokiRpNKmaFcNy1kl/f3+tWLFiusvQHJTk7Krqn+46JEkj8y9uS5IkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdTAkSZIkdVjvkJSkknyy5/3GSVYl+Ur7/ilJ3jDCutev7/ZHaPewJDtPRttzyeAg9PXBvHnN8+DgdFckSdLU2XgC2vgLsE+SzavqRuAfgIuHZlbVMmDZBGxnPA4DzgUumeLtzhqDg7BoEdxwQ/N+5crmPcDAwPTVJUnSVJmIkATwNeAfgVOA5wCfBh4OTa8O0F9VL0tyD+CkdrtfH1o5yYeBr1fVsiRfAK6uqhcmORy4R1W9KclzgVcAmwDLgX9pV/840A8UcBxwYft+MMmNwAFteFOPQ449a9T5y5fDlgthy2HTjzwdlo3S/7f0iAPWvzhJkmaAiRqT9Bng2Uk2A+5PE2K6vB/4SFU9CLisZ/p3aUMVsAuwd/v6YcCZSfYCDgEeWlX7AauBAWA/YJeq2qeq7gccX1WnACuAgarab3hASrIoyYokK1atWrWeuz173XTT+KZLkjTbTEhPUlX9LEkfTS/S/46y6EOBg9vXnwT+q319JvDKJHsDvwS2SbITcABN79GhwAOBHycB2Bz4E/BlYPckHwC+Cpw2hlqXAEsA+vv7a8w7Ocusrcen7+jmFttwCxbA0pMmqShJkmaQifzttmXAu2lutY3mDsGkqi4GtgEeT9OrdCbwLOD6qroOCHBi2zO0X1Xdu6qOqqqrgX2BM4CXAh+bqJ2Z6xYvhvnz15w2f34zXZKkuWAiQ9JxwNuq6uejLPN94Nnt6+HDf88CXsntIem17TPA6cAzktwVIMm2SRYk2R6YV1WfA/4D2L9d/jruOJxG4zAwAEuWND1HSfO8ZImDtiVJc8dEDdymqi6iGXM0mn8FTkryr8Dnhs07E3hsVZ2fZCWwbTuNqvplkjcBpyWZB9xC03N0I3B8Ow3g39vnE4BjHLi9fgYGDEWSpLkrVXN2WA79/f21YsWK6S5Dc1CSs6uqf7rrkCSNzL+4LUmS1MGQJEmS1MGQJEmS1GFOj0lKsgoY+mtA2wNXTGM5U839nV4LqmqH6S5CkjSyOR2SeiVZMZcG0rq/kiSNztttkiRJHQxJkiRJHQxJt1sy3QVMMfdXkqRROCZJkiSpgz1JkiRJHQxJkiRJHeZsSEryzCS/SHJbkhF/NTzJ45P8Osn5Sd4wlTVOpCTbJvlGkt+2z9uMsNzqJOe0j2VTXef6WtvnlWTTJEvb+cuT9E19lZKkDcGcDUnAucDTge+OtECSjYAPAU8A9gaek2TvqSlvwr0BOL2q9gROb993ubGq9msfT5m68tbfGD+vw4Grq2oP4L3Af01tlZKkDcWcDUlVdV5V/Xotiz0YOL+qfl9VfwU+Ayyc/OomxULgxPb1icBTp7GWyTKWz6v3OJwCPDpJprBGSdIGYs6GpDHaBbiw5/1F7bQN0d2q6lKA9vmuIyy3WZIVSX6YZEMLUmP5vP62TFXdClwDbDcl1UmSNigbT3cBkynJN4EdO2YdWVVfGksTHdNm7N9MGG1/x9HMblV1SZLdgW8l+XlV/W5iKpx0Y/m8NqjPVJI0fWZ1SKqqx6xnExcBu/a8vztwyXq2OWlG298klyfZqaouTbIT8KcR2rikff59kjOABwAbSkgay+c1tMxFSTYGtgKumpryJEkbEm+3je7HwJ5J7pFkE+DZwAb3G1+tZcCh7etDgTv0pCXZJsmm7evtgYcCv5yyCtffWD6v3uPwDOBb5V9UlSR1mLMhKcnTklwEHAB8Ncmp7fSdk/wv/G3MysuAU4HzgM9W1S+mq+b19E7gH5L8FviH9j1J+pN8rF1mL2BFkp8C3wbeWVUbTEga6fNK8rYkQ7+p93FguyTnA69m5N/ykyTNcf5bEkmSpA5ztidJkiRpNIYkSZKkDoYkSZKkDoYkSZKkDoYkSZKkDoYkSZKkDoYkSZKkDv8f1+Z06rCVVVYAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1b63b780>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=19.804 (p=0.001)\n",
+      "13_18 vs. 29_38 have difference in medians -4.803E-01; stat=9.541 (p=0.002)\n",
+      "13_18 vs. 39_48 have difference in medians -5.948E-01; stat=13.231 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -5.589E-01; stat=10.516 (p=0.001)\n",
+      "demo education has difference in medians stat=7.145 (p=0.067)\n",
+      "demo genders has difference in medians stat=0.011 (p=0.916)\n",
+      "demo language has difference in medians stat=17.572 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -3.479E-01; stat=9.901 (p=0.002)\n",
+      "English vs. Spanish have difference in medians 6.765E-01; stat=13.441 (p=0.000)\n",
+      "demo region has difference in medians stat=4.682 (p=0.197)\n",
+      "testing dest pct=75\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x26131438>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=34.146 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -7.429E+00; stat=10.950 (p=0.001)\n",
+      "13_18 vs. 39_48 have difference in medians -7.635E+00; stat=14.203 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -7.990E+00; stat=14.203 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -6.541E-01; stat=10.944 (p=0.001)\n",
+      "19_28 vs. 49_65 have difference in medians -1.009E+00; stat=11.875 (p=0.001)\n",
+      "29_38 vs. 49_65 have difference in medians -5.607E-01; stat=8.115 (p=0.004)\n",
+      "demo genders has difference in medians stat=3.379 (p=0.066)\n",
+      "demo language has difference in medians stat=14.327 (p=0.001)\n",
+      "Bilingual vs. English have difference in medians -6.300E-01; stat=7.600 (p=0.006)\n",
+      "English vs. Spanish have difference in medians 1.104E+00; stat=10.944 (p=0.001)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1e11d550>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=40.644 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -6.224E-01; stat=13.852 (p=0.000)\n",
+      "13_18 vs. 39_48 have difference in medians -1.010E+00; stat=16.349 (p=0.000)\n",
+      "13_18 vs. 49_65 have difference in medians -1.270E+00; stat=19.457 (p=0.000)\n",
+      "19_28 vs. 39_48 have difference in medians -6.944E-01; stat=13.176 (p=0.000)\n",
+      "19_28 vs. 49_65 have difference in medians -9.547E-01; stat=15.980 (p=0.000)\n",
+      "29_38 vs. 49_65 have difference in medians -6.477E-01; stat=8.379 (p=0.004)\n",
+      "demo education has difference in medians stat=6.153 (p=0.104)\n",
+      "demo genders has difference in medians stat=1.117 (p=0.291)\n",
+      "demo language has difference in medians stat=12.978 (p=0.002)\n",
+      "Bilingual vs. English have difference in medians -6.946E-01; stat=7.858 (p=0.005)\n",
+      "English vs. Spanish have difference in medians 1.170E+00; stat=9.762 (p=0.002)\n",
+      "demo region has difference in medians stat=0.738 (p=0.864)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x17fa8fd0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=20.571 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians -1.010E+00; stat=12.521 (p=0.000)\n",
+      "13_18 vs. 39_48 have difference in medians -1.181E+00; stat=12.848 (p=0.000)\n",
+      "demo education has difference in medians stat=4.955 (p=0.175)\n",
+      "demo genders has difference in medians stat=1.117 (p=0.291)\n",
+      "demo language has difference in medians stat=16.479 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians -5.827E-01; stat=9.477 (p=0.002)\n",
+      "English vs. Spanish have difference in medians 1.186E+00; stat=11.561 (p=0.001)\n",
+      "demo region has difference in medians stat=8.398 (p=0.038)\n",
+      "testing dest pct=90\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1599d3c8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=18.465 (p=0.001)\n",
+      "13_18 vs. 39_48 have difference in medians -7.726E+00; stat=8.308 (p=0.004)\n",
+      "13_18 vs. 49_65 have difference in medians -8.081E+00; stat=8.308 (p=0.004)\n",
+      "demo genders has difference in medians stat=1.641 (p=0.200)\n",
+      "demo language has difference in medians stat=11.977 (p=0.003)\n",
+      "English vs. Spanish have difference in medians 1.559E+00; stat=8.308 (p=0.004)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x160ad208>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=15.961 (p=0.003)\n",
+      "13_18 vs. 49_65 have difference in medians -1.733E+00; stat=8.308 (p=0.004)\n",
+      "demo education has difference in medians stat=2.307 (p=0.511)\n",
+      "demo genders has difference in medians stat=0.231 (p=0.631)\n",
+      "demo language has difference in medians stat=10.537 (p=0.005)\n",
+      "English vs. Spanish have difference in medians 1.487E+00; stat=8.308 (p=0.004)\n",
+      "demo region has difference in medians stat=0.400 (p=0.940)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a4efc50>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=16.460 (p=0.002)\n",
+      "13_18 vs. 39_48 have difference in medians -1.384E+00; stat=8.308 (p=0.004)\n",
+      "demo education has difference in medians stat=2.947 (p=0.400)\n",
+      "demo genders has difference in medians stat=0.410 (p=0.522)\n",
+      "demo language has difference in medians stat=13.520 (p=0.001)\n",
+      "Bilingual vs. English have difference in medians -9.613E-01; stat=6.564 (p=0.010)\n",
+      "Bilingual vs. Spanish have difference in medians 6.201E-01; stat=6.564 (p=0.010)\n",
+      "English vs. Spanish have difference in medians 1.581E+00; stat=8.308 (p=0.004)\n",
+      "demo region has difference in medians stat=9.087 (p=0.028)\n"
+     ]
+    }
+   ],
+   "source": [
+    "top_dest_pcts = [10, 25, 75, 90]\n",
+    "for top_dest_pct in top_dest_pcts:\n",
+    "    print('testing dest pct=%d'%(top_dest_pct))\n",
+    "    mx_combined_assim_t = []\n",
+    "    for g_name, g_data in mx_combined_data.groupby('group_name'):\n",
+    "        mx_scores = compute_all_expat_scores(source_pct, dest_pct, g_data,\n",
+    "                                             top_dest_pct=top_dest_pct)\n",
+    "        mx_scores.loc[:, 'group_name'] = g_name\n",
+    "        mx_combined_assim_t.append(mx_scores)\n",
+    "    mx_combined_assim_t = pd.concat(mx_combined_assim_t, axis=0)\n",
+    "    for g_name, g_data in mx_combined_assim_t.groupby('group_name'):\n",
+    "        plot_demo_combo_scores(g_data, boxplot=False)\n",
+    "        plt.suptitle(g_name, fontsize=title_size, y=1.05)\n",
+    "        plt.show()\n",
+    "        test_score_significance(g_data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The trends stay consistent:\n",
+    "\n",
+    "- Younger population (13-18) has lower assimilation scores.\n",
+    "- Less than high school population has lower assimilation scores.\n",
+    "- Female population has higher assimilation scores.\n",
+    "- English population has higher assimilation scores.\n",
+    "- Midwest population has higher assimilation scores."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Old code"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Pairwise comparisons\n",
+    "Maybe we should take the difference within-interests rather than treating the data as independent.\n",
+    "\n",
+    "To prove that the assimilation among 13-18 age bracket is lower than among 19-28 bracket, we take the difference of the assimilation scores for each interest and test whether the differences are different from zero."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 67,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from scipy.stats import ttest_rel, ttest_1samp\n",
+    "def pairwise_test(expat_scores):\n",
+    "    # difference in log scores\n",
+    "    for d_name, d_data in expat_scores.groupby('demo_name'):\n",
+    "        d_vals = d_data.loc[:, 'demo_val'].unique()\n",
+    "        conf_bound = 0.05 / ((len(d_vals) * (len(d_vals)-1))/2.)\n",
+    "        for i in range(len(d_vals)):\n",
+    "            d_data_i = d_data[d_data.loc[:, 'demo_val']==d_vals[i]]\n",
+    "            for j in range(i, len(d_vals)):\n",
+    "                d_data_j = d_data[d_data.loc[:, 'demo_val']==d_vals[j]]\n",
+    "                diff_i_j = (np.log(d_data_i.loc[:, 'assim_score']) - \n",
+    "                            np.log(d_data_j.loc[:, 'assim_score']))\n",
+    "                test_stat, p_val = ttest_1samp(diff_i_j, popmean=0.)\n",
+    "#                 test_stat, p_val = ttest_rel(d_data_i.loc[:, 'assim_score'], \n",
+    "#                                              d_data_j.loc[:, 'assim_score'])\n",
+    "                if(p_val < conf_bound):\n",
+    "                    print('%s vs %s: mean diff=%.3f t=%.3f (p=%.3E)'%\n",
+    "                          (d_vals[i], d_vals[j], diff_i_j.mean(), test_stat, p_val))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 68,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\scipy\\stats\\stats.py:3833: RuntimeWarning: invalid value encountered in absolute\n",
+      "  prob = distributions.t.sf(np.abs(t), df) * 2  # use np.abs to get upper tail\n",
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\scipy\\stats\\_distn_infrastructure.py:879: RuntimeWarning: invalid value encountered in greater\n",
+      "  return (self.a < x) & (x < self.b)\n",
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\scipy\\stats\\_distn_infrastructure.py:879: RuntimeWarning: invalid value encountered in less\n",
+      "  return (self.a < x) & (x < self.b)\n",
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\scipy\\stats\\_distn_infrastructure.py:1821: RuntimeWarning: invalid value encountered in less_equal\n",
+      "  cond2 = cond0 & (x <= self.a)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "13_18 vs 19_28: mean diff=0.842 t=8.310 (p=4.641E-14)\n",
+      "13_18 vs 29_38: mean diff=0.594 t=5.443 (p=2.025E-07)\n",
+      "13_18 vs 39_48: mean diff=0.337 t=3.121 (p=2.154E-03)\n",
+      "19_28 vs 29_38: mean diff=-0.248 t=-5.237 (p=5.278E-07)\n",
+      "19_28 vs 39_48: mean diff=-0.505 t=-7.036 (p=6.103E-11)\n",
+      "19_28 vs 49_65: mean diff=-0.625 t=-7.066 (p=5.182E-11)\n",
+      "29_38 vs 39_48: mean diff=-0.256 t=-5.032 (p=1.339E-06)\n",
+      "29_38 vs 49_65: mean diff=-0.376 t=-4.708 (p=5.526E-06)\n",
+      "Bachelor's degree or more vs Less than high school graduate: mean diff=-0.691 t=-7.483 (p=5.191E-12)\n",
+      "Bachelor's degree or more vs Two-year degree,Some college: mean diff=-0.348 t=-5.912 (p=2.105E-08)\n",
+      "High school graduate vs Less than high school graduate: mean diff=-0.570 t=-7.889 (p=5.264E-13)\n",
+      "High school graduate vs Two-year degree,Some college: mean diff=-0.227 t=-4.652 (p=7.044E-06)\n",
+      "Less than high school graduate vs Two-year degree,Some college: mean diff=0.343 t=5.953 (p=1.716E-08)\n",
+      "female vs male: mean diff=-0.186 t=-2.490 (p=1.382E-02)\n",
+      "Bilingual vs English: mean diff=-0.188 t=-2.894 (p=4.358E-03)\n",
+      "Bilingual vs Spanish: mean diff=0.255 t=5.319 (p=3.617E-07)\n",
+      "English vs Spanish: mean diff=0.443 t=4.572 (p=9.869E-06)\n",
+      "Midwest vs Northeast: mean diff=0.239 t=7.073 (p=4.995E-11)\n",
+      "Midwest vs South: mean diff=0.374 t=4.674 (p=6.412E-06)\n",
+      "Midwest vs West: mean diff=0.387 t=7.890 (p=5.234E-13)\n",
+      "Northeast vs West: mean diff=0.148 t=2.818 (p=5.474E-03)\n"
+     ]
+    }
+   ],
+   "source": [
+    "top_dest_pct = 50\n",
+    "mx_1_scores = compute_all_expat_scores(source_pct, dest_pct, mx_1_data, \n",
+    "                                        top_dest_pct=top_dest_pct)\n",
+    "pairwise_test(expat_scores)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "OK! So we see the same trends:\n",
+    "\n",
+    "- Younger population is more assimilated.\n",
+    "- Lower education (less than high school graduate) is more assimilated.\n",
+    "- Male > female.\n",
+    "- Spanish > Bilingual > English.\n",
+    "- Midwest/Northeast > West/South."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot distributions: non-expats\n",
+    "Let's do the same visual/stats comparison for the second generation non-expats: MX interest, Spanish-speaking and MX communities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import norm_demo_combo_data\n",
+    "second_gen_data = [['../../data/query_results/hispanic_non_expat_MX_aligned_music_interests_age_ranges.tsv',\n",
+    "                    '../../data/query_results/hispanic_non_expat_MX_aligned_music_interests_education.tsv',\n",
+    "                    '../../data/query_results/hispanic_non_expat_MX_aligned_music_interests_genders.tsv',\n",
+    "                    '../../data/query_results/hispanic_non_expat_MX_aligned_music_interests_language.tsv',\n",
+    "                    '../../data/query_results/hispanic_non_expat_MX_aligned_music_interests_region.tsv'],\n",
+    "                   ['../../data/query_results/hispanic_non_expat_Spanish_music_interests_age_ranges.tsv',\n",
+    "                    '../../data/query_results/hispanic_non_expat_Spanish_music_interests_education.tsv',\n",
+    "                    '../../data/query_results/hispanic_non_expat_Spanish_music_interests_genders.tsv',\n",
+    "                    ],\n",
+    "                   ['../../data/query_results/hispanic_mexican_community_music_interests_age_ranges.tsv',\n",
+    "                    '../../data/query_results/hispanic_mexican_community_music_interests_education.tsv',\n",
+    "                    '../../data/query_results/hispanic_mexican_community_music_interests_genders.tsv',\n",
+    "                    '../../data/query_results/hispanic_mexican_community_music_interests_language.tsv',\n",
+    "                   ]]\n",
+    "# process, etc.\n",
+    "for files_i in second_gen_data:\n",
+    "    data_i = [pd.read_csv(f, sep='\\t', index_col=False) for f in files_i]\n",
+    "    data_i = pd.concat(data_i, axis=0)\n",
+    "#     data_i.fillna('', inplace=True)\n",
+    "    data_i.loc[:, 'interests'] = data_i.loc[:, 'interests'].apply(json.loads)\n",
+    "    data_i.loc[:, 'interest_name'] = data_i.loc[:, 'interests'].apply(lambda x: x['name'][0] if type(x['name']) is list else x['name'])\n",
+    "    data_i.loc[:, 'interest_name'] = data_i.loc[:, 'interest_name'].apply(lambda x: clean_str(x.decode('unicode-escape')).decode('utf-8'))\n",
+    "    data_i = data_i[data_i.loc[:, 'interest_name'].isin(shared_interests)]\n",
+    "    data_i = norm_demo_combo_data(data_i, include_demo_val=True, count_var=count_var)\n",
+    "    break\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Subpopulation comparison: regression\n",
+    "Some of the assimilation patterns might be driven by confounding patterns (e.g. \"less than high school education\" is likely correlated with age). When we control for these do we still see the same patterns?\n",
+    "\n",
+    "Let's do this with regression, where the independent variables are the demographics and interest, and the dependent variable is audience size."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def norm_demo_combo_data(data, include_demo_val=False):\n",
+    "    data.fillna('', inplace=True)\n",
+    "    json_cols = ['interests', 'ages_ranges', 'scholarities', 'behavior']\n",
+    "    for c in json_cols:\n",
+    "        data.loc[:, c] = data.loc[:, c].replace('', '{}')\n",
+    "        data.loc[:, c] = data.loc[:, c].apply(json.loads)\n",
+    "    gender_dict = {0: 'both', 1 : 'male', 2 : 'female'}\n",
+    "    data.loc[:, 'genders_name'] = data.loc[:, 'genders'].astype(int).apply(lambda x: gender_dict[x])\n",
+    "    data.loc[:, 'interest_name'] = data.loc[:, 'interests'].apply(lambda x: x['name'][0])\n",
+    "    data.loc[:, 'education_name'] = data.loc[:, 'scholarities'].apply(lambda x: x.get('name')).fillna('', inplace=False)\n",
+    "    data.loc[:, 'ages_name'] = data.loc[:, 'ages_ranges'].apply(lambda x: '%d_%d'%(x['min'], x['max']))\n",
+    "    data.loc[:, 'demo_name'] = data.loc[:, 'name'].apply(lambda x: x.split('_')[-1].replace('ranges', 'ages'))\n",
+    "    lang_matcher = re.compile('All|English|Spanish|Bilingual')\n",
+    "    data.loc[:, 'language_name'] = data.loc[:, 'behavior'].apply(lambda x: ''.join(lang_matcher.findall(x['name'])))\n",
+    "    # replace region names with \"region\"\n",
+    "    if('region_name' not in data.columns):\n",
+    "        region_matcher = re.compile('Northeast|Midwest|West|South')\n",
+    "        data.loc[:, 'region_name'] = data.loc[:, 'demo_name'].apply(lambda x: ''.join(region_matcher.findall(x)))\n",
+    "        data.loc[:, 'demo_name'] = data.loc[:, 'demo_name'].apply(lambda x: region_matcher.sub('region', x))\n",
+    "    count_var = 'mau_audience'\n",
+    "    # create single column for demo val\n",
+    "    # this will make data grouping easier later\n",
+    "    if(include_demo_val):\n",
+    "        data_fixed = []\n",
+    "        for n, n_data in data.groupby('demo_name'):\n",
+    "            n_col = '%s_name'%(n)\n",
+    "            n_data.loc[:, 'demo_val'] = n_data.loc[:, n_col]\n",
+    "            data_fixed.append(n_data)\n",
+    "        data = pd.concat(data_fixed, axis=0)\n",
+    "    ## normalize percents\n",
+    "        group_cols = ['demo_val', 'demo_name']\n",
+    "        data = norm_pct(data, group_cols, count_var)\n",
+    "    else:\n",
+    "        group_cols = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "        data = norm_pct(data, group_cols, count_var)\n",
+    "    count_var_pct = '%s_pct'%(count_var)\n",
+    "    relevant_cols = ['name', 'interest_name', count_var, count_var_pct] + group_cols\n",
+    "    data = data.loc[:, relevant_cols]\n",
+    "    return data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "16000 samples total\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>interests</th>\n",
+       "      <th>ages_ranges</th>\n",
+       "      <th>genders</th>\n",
+       "      <th>behavior</th>\n",
+       "      <th>scholarities</th>\n",
+       "      <th>languages</th>\n",
+       "      <th>family_statuses</th>\n",
+       "      <th>relationship_statuses</th>\n",
+       "      <th>geo_locations</th>\n",
+       "      <th>household_composition</th>\n",
+       "      <th>all_fields</th>\n",
+       "      <th>targeting</th>\n",
+       "      <th>response</th>\n",
+       "      <th>dau_audience</th>\n",
+       "      <th>mau_audience</th>\n",
+       "      <th>timestamp</th>\n",
+       "      <th>publisher_platforms</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>region_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos</td>\n",
+       "      <td>{\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}</td>\n",
+       "      <td>{\"max\": 18, \"min\": 13}</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>{\"and\": [6023676072183], \"or\": [6003133212372]...</td>\n",
+       "      <td>{\"name\": \"Less than high school graduate\", \"or...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>{u'values': [{u'country': u'US', u'key': u'386...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>(('interests', {u'name': [u'Music'], u'or': [u...</td>\n",
+       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...</td>\n",
+       "      <td>{\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...</td>\n",
+       "      <td>2882</td>\n",
+       "      <td>4900</td>\n",
+       "      <td>1530104402</td>\n",
+       "      <td>['facebook']</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>Northeast</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos</td>\n",
+       "      <td>{\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}</td>\n",
+       "      <td>{\"max\": 28, \"min\": 19}</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>{\"and\": [6023676072183], \"or\": [6003133212372]...</td>\n",
+       "      <td>{\"name\": \"Less than high school graduate\", \"or...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>{u'values': [{u'country': u'US', u'key': u'386...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>(('interests', {u'name': [u'Music'], u'or': [u...</td>\n",
+       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...</td>\n",
+       "      <td>{\"data\":[{\"daily_outcomes_curve\":[{\"bid\":0,\"sp...</td>\n",
+       "      <td>23592</td>\n",
+       "      <td>32000</td>\n",
+       "      <td>1530104402</td>\n",
+       "      <td>['facebook']</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>Northeast</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos</td>\n",
+       "      <td>{\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}</td>\n",
+       "      <td>{\"max\": 38, \"min\": 29}</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>{\"and\": [6023676072183], \"or\": [6003133212372]...</td>\n",
+       "      <td>{\"name\": \"Less than high school graduate\", \"or...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>{u'values': [{u'country': u'US', u'key': u'386...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>(('interests', {u'name': [u'Music'], u'or': [u...</td>\n",
+       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...</td>\n",
+       "      <td>{\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...</td>\n",
+       "      <td>12142</td>\n",
+       "      <td>15000</td>\n",
+       "      <td>1530104402</td>\n",
+       "      <td>['facebook']</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>Northeast</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos</td>\n",
+       "      <td>{\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}</td>\n",
+       "      <td>{\"max\": 48, \"min\": 39}</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>{\"and\": [6023676072183], \"or\": [6003133212372]...</td>\n",
+       "      <td>{\"name\": \"Less than high school graduate\", \"or...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>{u'values': [{u'country': u'US', u'key': u'386...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>(('interests', {u'name': [u'Music'], u'or': [u...</td>\n",
+       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...</td>\n",
+       "      <td>{\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...</td>\n",
+       "      <td>6518</td>\n",
+       "      <td>8000</td>\n",
+       "      <td>1530104402</td>\n",
+       "      <td>['facebook']</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>Northeast</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos</td>\n",
+       "      <td>{\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}</td>\n",
+       "      <td>{\"max\": 65, \"min\": 49}</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>{\"and\": [6023676072183], \"or\": [6003133212372]...</td>\n",
+       "      <td>{\"name\": \"Less than high school graduate\", \"or...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>{u'values': [{u'country': u'US', u'key': u'386...</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>(('interests', {u'name': [u'Music'], u'or': [u...</td>\n",
+       "      <td>{\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...</td>\n",
+       "      <td>{\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...</td>\n",
+       "      <td>4847</td>\n",
+       "      <td>5800</td>\n",
+       "      <td>1530104402</td>\n",
+       "      <td>['facebook']</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>Northeast</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                     name  \\\n",
+       "0  hispanic_MX_music_interests_all_combos   \n",
+       "1  hispanic_MX_music_interests_all_combos   \n",
+       "2  hispanic_MX_music_interests_all_combos   \n",
+       "3  hispanic_MX_music_interests_all_combos   \n",
+       "4  hispanic_MX_music_interests_all_combos   \n",
+       "\n",
+       "                                      interests             ages_ranges  \\\n",
+       "0  {\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}  {\"max\": 18, \"min\": 13}   \n",
+       "1  {\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}  {\"max\": 28, \"min\": 19}   \n",
+       "2  {\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}  {\"max\": 38, \"min\": 29}   \n",
+       "3  {\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}  {\"max\": 48, \"min\": 39}   \n",
+       "4  {\"name\": [\"Music\"], \"or\": [\"6003020834693\"]}  {\"max\": 65, \"min\": 49}   \n",
+       "\n",
+       "   genders                                           behavior  \\\n",
+       "0      1.0  {\"and\": [6023676072183], \"or\": [6003133212372]...   \n",
+       "1      1.0  {\"and\": [6023676072183], \"or\": [6003133212372]...   \n",
+       "2      1.0  {\"and\": [6023676072183], \"or\": [6003133212372]...   \n",
+       "3      1.0  {\"and\": [6023676072183], \"or\": [6003133212372]...   \n",
+       "4      1.0  {\"and\": [6023676072183], \"or\": [6003133212372]...   \n",
+       "\n",
+       "                                        scholarities  languages  \\\n",
+       "0  {\"name\": \"Less than high school graduate\", \"or...        NaN   \n",
+       "1  {\"name\": \"Less than high school graduate\", \"or...        NaN   \n",
+       "2  {\"name\": \"Less than high school graduate\", \"or...        NaN   \n",
+       "3  {\"name\": \"Less than high school graduate\", \"or...        NaN   \n",
+       "4  {\"name\": \"Less than high school graduate\", \"or...        NaN   \n",
+       "\n",
+       "   family_statuses  relationship_statuses  \\\n",
+       "0              NaN                    NaN   \n",
+       "1              NaN                    NaN   \n",
+       "2              NaN                    NaN   \n",
+       "3              NaN                    NaN   \n",
+       "4              NaN                    NaN   \n",
+       "\n",
+       "                                       geo_locations  household_composition  \\\n",
+       "0  {u'values': [{u'country': u'US', u'key': u'386...                    NaN   \n",
+       "1  {u'values': [{u'country': u'US', u'key': u'386...                    NaN   \n",
+       "2  {u'values': [{u'country': u'US', u'key': u'386...                    NaN   \n",
+       "3  {u'values': [{u'country': u'US', u'key': u'386...                    NaN   \n",
+       "4  {u'values': [{u'country': u'US', u'key': u'386...                    NaN   \n",
+       "\n",
+       "                                          all_fields  \\\n",
+       "0  (('interests', {u'name': [u'Music'], u'or': [u...   \n",
+       "1  (('interests', {u'name': [u'Music'], u'or': [u...   \n",
+       "2  (('interests', {u'name': [u'Music'], u'or': [u...   \n",
+       "3  (('interests', {u'name': [u'Music'], u'or': [u...   \n",
+       "4  (('interests', {u'name': [u'Music'], u'or': [u...   \n",
+       "\n",
+       "                                           targeting  \\\n",
+       "0  {\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...   \n",
+       "1  {\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...   \n",
+       "2  {\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...   \n",
+       "3  {\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...   \n",
+       "4  {\"flexible_spec\": [{\"interests\": [{\"id\": \"6003...   \n",
+       "\n",
+       "                                            response  dau_audience  \\\n",
+       "0  {\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...          2882   \n",
+       "1  {\"data\":[{\"daily_outcomes_curve\":[{\"bid\":0,\"sp...         23592   \n",
+       "2  {\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...         12142   \n",
+       "3  {\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...          6518   \n",
+       "4  {\"data\":[{\"daily_outcomes_curve\":[{\"spend\":0,\"...          4847   \n",
+       "\n",
+       "   mau_audience   timestamp publisher_platforms interest_name region_name  \n",
+       "0          4900  1530104402        ['facebook']         Music   Northeast  \n",
+       "1         32000  1530104402        ['facebook']         Music   Northeast  \n",
+       "2         15000  1530104402        ['facebook']         Music   Northeast  \n",
+       "3          8000  1530104402        ['facebook']         Music   Northeast  \n",
+       "4          5800  1530104402        ['facebook']         Music   Northeast  "
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "subpop_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_all_combos.tsv', sep='\\t', index_col=False)\n",
+    "print('%d samples total'%(subpop_data.shape[0]))\n",
+    "subpop_data.loc[:, 'interest_name'] = subpop_data.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "# need custom solution for regions\n",
+    "subpop_data.loc[:, 'geo_locations'] = subpop_data.loc[:, 'geo_locations'].apply(json.loads)\n",
+    "state_region_lookup = {\n",
+    "    '3862_3888_3872_3864_3875_3881_3882_3849_3873':'Northeast',\n",
+    "   '3878_3857_3865_3856_3892_3866_3858_3868_3859_3870_3884_3877':'Midwest',\n",
+    "   '3891_3889_3851_3850_3863_3860_3876_3883_3885_3853_3843_3867_3846_3861_3879_3886':'South',\n",
+    "   '3869_3893_3848_3874_3855_3887_3845_3890_3880_3871_3847_3844_3854':'West',\n",
+    "}\n",
+    "subpop_data.loc[:, 'region_name'] = subpop_data.loc[:, 'geo_locations'].apply(lambda x: state_region_lookup['_'.join([str(y['key']) for y in x['values']])] if len(x['values']) > 1 else 'All')\n",
+    "subpop_data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We need to recompute the source/dest percents before computing assimilation, because we're restricting to the top 100 music interests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "set([u'Norte\\\\u00cc\\\\u00b1o (music)'])\n"
+     ]
+    }
+   ],
+   "source": [
+    "dest_data_orig = pd.read_csv('../../data/query_results/US_music_interests.tsv', sep='\\t', index_col=False)\n",
+    "source_data_orig = pd.read_csv('../../data/query_results/MX_non_expats_music_interests.tsv', sep='\\t', index_col=False)\n",
+    "source_data_orig.loc[:, 'interest_name'] = source_data_orig.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "dest_data_orig.loc[:, 'interest_name'] = dest_data_orig.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "print(set(subpop_data.loc[:, 'interest_name'].unique()) - set(source_data_orig.loc[:, 'interest_name'].unique()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# compute source, dest percents\n",
+    "source_data_100 = source_data_orig[source_data_orig.loc[:, 'interest_name'].isin(subpop_data.loc[:, 'interest_name'].unique())]\n",
+    "dest_data_100 = dest_data_orig[dest_data_orig.loc[:, 'interest_name'].isin(subpop_data.loc[:, 'interest_name'].unique())]\n",
+    "subpop_data = subpop_data[subpop_data.loc[:, 'interest_name'].isin(dest_data_100.loc[:, 'interest_name'].unique())]\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "source_data_100.loc[:, count_var_pct] = source_data_100.loc[:, count_var] / source_data_100.loc[:, count_var].sum()\n",
+    "dest_data_100.loc[:, count_var_pct] = dest_data_100.loc[:, count_var] / dest_data_100.loc[:, count_var].sum()\n",
+    "source_data_100_pct = source_data_100.loc[:, count_var_pct]\n",
+    "dest_data_100_pct = dest_data_100.loc[:, count_var_pct]\n",
+    "source_data_100_pct.index = source_data_100.loc[:, 'interest_name'].values\n",
+    "dest_data_100_pct.index = dest_data_100.loc[:, 'interest_name'].values\n",
+    "# normalize subpop data\n",
+    "subpop_data = norm_demo_combo_data(subpop_data, include_demo_val=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compute_all_expat_scores(source_pct, dest_pct, mx_1_data,\n",
+    "                             top_dest_pct=50, \n",
+    "                             count_var_pct='mau_audience_pct',\n",
+    "                             group_cols=['demo_name', 'demo_val']):\n",
+    "    \"\"\"\n",
+    "    Compute expat scores for all subgroups in the expat data.\n",
+    "    \n",
+    "    :param source_pct: Series with percent interests in source data.\n",
+    "    :param dest_pct: Series with percent interests in destination data.\n",
+    "    :param mx_1_data: DataFrame with percent interests in expat data.\n",
+    "    :param top_dest_pct: Remove all interests with dest_pct score below top_dest_pct percentile score of source_pct.\n",
+    "    :param count_var_pct: Column name in expat data for percent interests.\n",
+    "    \"\"\"\n",
+    "    expat_scores = []\n",
+    "    for d_names, d_data in mx_1_data.groupby(group_cols):\n",
+    "        d_name_combined = ','.join(d_names)\n",
+    "    #     print('processing expat group %s'%(d_name_combined))\n",
+    "        # make sure data is aligned\n",
+    "        d_data.sort_values('interest_name', inplace=True, ascending=True)\n",
+    "        expat_pct = d_data.loc[:, count_var_pct]\n",
+    "        expat_pct.index = d_data.loc[:, 'interest_name'].values\n",
+    "        d_scores = compute_assimilation(source_pct, \n",
+    "                                        dest_pct, \n",
+    "                                        expat_pct,\n",
+    "                                        TOP_DEST_PCT=top_dest_pct,\n",
+    "                                        score_type='/')\n",
+    "        d_scores = pd.DataFrame(d_scores)\n",
+    "        d_scores.rename(columns={count_var_pct : 'assim_score'}, inplace=True)\n",
+    "        for c, d_name in izip(group_cols, d_names):\n",
+    "            d_scores.loc[:, c] = d_name\n",
+    "#         d_scores.loc[:, 'demo_name'] = d_names[0]\n",
+    "#         d_scores.loc[:, 'demo_val'] = d_names[1]\n",
+    "        expat_scores.append(d_scores)\n",
+    "    expat_scores = pd.concat(expat_scores, axis=0)\n",
+    "    return expat_scores"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "group_cols = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "subpop_expat_scores = compute_all_expat_scores(source_data_100_pct, dest_data_100_pct,\n",
+    "                                               subpop_data, top_dest_pct=50,\n",
+    "                                               group_cols=group_cols)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>assim_score</th>\n",
+       "      <th>genders_name</th>\n",
+       "      <th>education_name</th>\n",
+       "      <th>ages_name</th>\n",
+       "      <th>language_name</th>\n",
+       "      <th>region_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1970s in music</th>\n",
+       "      <td>5.334635</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1990s in music</th>\n",
+       "      <td>4.890082</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Adult contemporary music</th>\n",
+       "      <td>4.191499</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Alternative country</th>\n",
+       "      <td>3.912065</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>American folk music</th>\n",
+       "      <td>0.617695</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          assim_score genders_name             education_name  \\\n",
+       "1970s in music               5.334635       female  Bachelor's degree or more   \n",
+       "1990s in music               4.890082       female  Bachelor's degree or more   \n",
+       "Adult contemporary music     4.191499       female  Bachelor's degree or more   \n",
+       "Alternative country          3.912065       female  Bachelor's degree or more   \n",
+       "American folk music          0.617695       female  Bachelor's degree or more   \n",
+       "\n",
+       "                         ages_name language_name region_name  \n",
+       "1970s in music               13_18           All     Midwest  \n",
+       "1990s in music               13_18           All     Midwest  \n",
+       "Adult contemporary music     13_18           All     Midwest  \n",
+       "Alternative country          13_18           All     Midwest  \n",
+       "American folk music          13_18           All     Midwest  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "subpop_expat_scores.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1150e240>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.hist(subpop_expat_scores.loc[:, 'assim_score'].values, bins=20)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Looks heavily left-skewed, so we should log-transform."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXoAAAD8CAYAAAB5Pm/hAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvNQv5yAAAEOxJREFUeJzt3X+sX3V9x/HnayBuU2f5cWGsrSuLjdNsCuwGMSSbWjX8MJQtkuAWqaxJ9wcuGl2kSjKzbEtqTMSRLSyNOMuCPxhK2ghRuwoxSwbzgohgcVSC9FqkV8GqI84w3/vjfq7eldve7733e/vt/ez5SL4553zO53y/70/avu7p53vOuakqJEn9+qVRFyBJWl4GvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzJ466AIDTTjut1q1bN+oyJGlFuffee79XVWPz9Tsugn7dunVMTEyMugxJWlGSfHuQfk7dSFLnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS546LO2MlDde6rbcv+tjHtl0yxEp0PPCMXpI6Z9BLUucMeknq3LxBn+RlSe6f9fphknclOSXJ7iSPtOXJrX+SXJ9kX5IHkpy7/MOQJB3JvEFfVd+sqrOr6mzg94BngNuArcCeqloP7GnbABcB69trC3DDchQuSRrMQqduNgDfqqpvAxuBHa19B3BZW98I3FTT7gZWJTlzKNVKkhZsoUF/BfDJtn5GVT0B0Jant/bVwP5Zx0y2NknSCAwc9ElOAi4F/mW+rnO01RzvtyXJRJKJqampQcuQJC3QQs7oLwLuq6on2/aTM1MybXmwtU8Ca2cdtwY4cPibVdX2qhqvqvGxsXl/5aEkaZEWEvRv5RfTNgC7gE1tfROwc1b7le3qm/OBQzNTPJKkY2+gRyAk+VXgjcCfzWreBtySZDPwOHB5a78DuBjYx/QVOlcNrVpJ0oINFPRV9Qxw6mFt32f6KpzD+xZw9VCqk3TMLeU5OeCzco5H3hkrSZ0z6CWpcwa9JHXOoJekzhn0ktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzBr0kdW6goE+yKsmtSR5OsjfJa5KckmR3kkfa8uTWN0muT7IvyQNJzl3eIUiSjmbQM/q/Az5fVb8NvArYC2wF9lTVemBP2wa4CFjfXluAG4ZasSRpQU6cr0OSXwN+H3g7QFX9FPhpko3Aa1u3HcBdwDXARuCmqirg7va/gTOr6omhVy91bN3W20ddgjoxyBn9bwFTwD8l+WqSjyZ5AXDGTHi35emt/2pg/6zjJ1ubJGkEBgn6E4FzgRuq6hzgv/jFNM1cMkdbPadTsiXJRJKJqampgYqVJC3cIEE/CUxW1T1t+1amg//JJGcCtOXBWf3Xzjp+DXDg8Detqu1VNV5V42NjY4utX5I0j3mDvqq+C+xP8rLWtAH4BrAL2NTaNgE72/ou4Mp29c35wCHn5yVpdOb9Mrb5c+DmJCcBjwJXMf1D4pYkm4HHgctb3zuAi4F9wDOtryRpRAYK+qq6HxifY9eGOfoWcPUS65IkDYl3xkpS5wadupGkgSzl+v/Htl0yxEo0wzN6SeqcQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI6Z9BLUucMeknqnEEvSZ0z6CWpcwa9JHXOoJekzhn0ktQ5g16SOmfQS1LnDHpJ6pxBL0mdGyjokzyW5OtJ7k8y0dpOSbI7ySNteXJrT5Lrk+xL8kCSc5dzAJKko1vIGf3rqursqhpv21uBPVW1HtjTtgEuAta31xbghmEVK0lauKVM3WwEdrT1HcBls9pvqml3A6uSnLmEz5EkLcGgQV/AF5Pcm2RLazujqp4AaMvTW/tqYP+sYydbmyRpBE4csN8FVXUgyenA7iQPH6Vv5mir53Sa/oGxBeAlL3nJgGVIkhZqoDP6qjrQlgeB24DzgCdnpmTa8mDrPgmsnXX4GuDAHO+5varGq2p8bGxs8SOQJB3VvEGf5AVJXjSzDrwJeBDYBWxq3TYBO9v6LuDKdvXN+cChmSkeSdKxN8jUzRnAbUlm+n+iqj6f5CvALUk2A48Dl7f+dwAXA/uAZ4Crhl61JGlg8wZ9VT0KvGqO9u8DG+ZoL+DqoVQnSVoy74yVpM4NetWNpEVYt/X2UZcgeUYvSb0z6CWpcwa9JHXOoJekzhn0ktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnRs46JOckOSrST7Xts9Kck+SR5J8OslJrf35bXtf279ueUqXJA1iIWf07wT2ztr+IHBdVa0HngY2t/bNwNNV9VLgutZPkjQiAwV9kjXAJcBH23aA1wO3ti47gMva+sa2Tdu/ofWXJI3AoGf0HwHeC/ysbZ8K/KCqnm3bk8Dqtr4a2A/Q9h9q/SVJIzBv0Cd5M3Cwqu6d3TxH1xpg3+z33ZJkIsnE1NTUQMVKkhZukDP6C4BLkzwGfIrpKZuPAKuSnNj6rAEOtPVJYC1A2/9i4KnD37SqtlfVeFWNj42NLWkQkqQjmzfoq+p9VbWmqtYBVwBfqqo/Ae4E3tK6bQJ2tvVdbZu2/0tV9ZwzeknSsbGU6+ivAd6dZB/Tc/A3tvYbgVNb+7uBrUsrUZK0FCfO3+UXquou4K62/ihw3hx9fgJcPoTaJElD4J2xktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzBr0kdW5Bz6OXpOW0buvtiz72sW2XDLGSvnhGL0mdM+glqXMGvSR1zqCXpM7NG/RJfjnJfyT5WpKHkvxVaz8ryT1JHkny6SQntfbnt+19bf+65R2CJOloBjmj/2/g9VX1KuBs4MIk5wMfBK6rqvXA08Dm1n8z8HRVvRS4rvWTJI3IvEFf037cNp/XXgW8Hri1te8ALmvrG9s2bf+GJBlaxZKkBRlojj7JCUnuBw4Cu4FvAT+oqmdbl0lgdVtfDewHaPsPAafO8Z5bkkwkmZiamlraKCRJRzRQ0FfV/1TV2cAa4Dzg5XN1a8u5zt7rOQ1V26tqvKrGx8bGBq1XkrRAC7rqpqp+ANwFnA+sSjJzZ+0a4EBbnwTWArT9LwaeGkaxkqSFG+Sqm7Ekq9r6rwBvAPYCdwJvad02ATvb+q62Tdv/pap6zhm9JOnYGORZN2cCO5KcwPQPhluq6nNJvgF8KsnfAF8Fbmz9bwT+Ock+ps/kr1iGuiVJA5o36KvqAeCcOdofZXq+/vD2nwCXD6U6SdKSeWesJHXOoJekzhn0ktQ5g16SOmfQS1Ln/FWCkrrgryE8Ms/oJalzBr0kdc6gl6TOGfSS1Dm/jJWOYilf8EnHC8/oJalzBr0kdc6gl6TOGfSS1DmDXpI6Z9BLUucMeknqnEEvSZ2bN+iTrE1yZ5K9SR5K8s7WfkqS3UkeacuTW3uSXJ9kX5IHkpy73IOQJB3ZIHfGPgu8p6ruS/Ii4N4ku4G3A3uqaluSrcBW4BrgImB9e70auKEtJem41Psjjuc9o6+qJ6rqvrb+I2AvsBrYCOxo3XYAl7X1jcBNNe1uYFWSM4deuSRpIAuao0+yDjgHuAc4o6qegOkfBsDprdtqYP+swyZbmyRpBAYO+iQvBD4DvKuqfni0rnO01RzvtyXJRJKJqampQcuQJC3QQEGf5HlMh/zNVfXZ1vzkzJRMWx5s7ZPA2lmHrwEOHP6eVbW9qsaranxsbGyx9UuS5jHIVTcBbgT2VtWHZ+3aBWxq65uAnbPar2xX35wPHJqZ4pEkHXuDXHVzAfA24OtJ7m9t7we2Abck2Qw8Dlze9t0BXAzsA54BrhpqxZKkBZk36Kvq35h73h1gwxz9C7h6iXVJkobEO2MlqXMGvSR1zqCXpM4Z9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzgzwCQVrRlvJLJaQeeEYvSZ0z6CWpcwa9JHXOoJekzhn0ktQ5g16SOmfQS1LnDHpJ6pxBL0mdM+glqXPzBn2SjyU5mOTBWW2nJNmd5JG2PLm1J8n1SfYleSDJuctZvCRpfoOc0X8cuPCwtq3AnqpaD+xp2wAXAevbawtww3DKlCQt1rxBX1VfBp46rHkjsKOt7wAum9V+U027G1iV5MxhFStJWrjFztGfUVVPALTl6a19NbB/Vr/J1vYcSbYkmUgyMTU1tcgyJEnzGfaXsZmjrebqWFXbq2q8qsbHxsaGXIYkacZig/7JmSmZtjzY2ieBtbP6rQEOLL48SdJSLTbodwGb2vomYOes9ivb1TfnA4dmpngkSaMx72+YSvJJ4LXAaUkmgQ8A24BbkmwGHgcub93vAC4G9gHPAFctQ82SpAWYN+ir6q1H2LVhjr4FXL3UoiRJw+OdsZLUOYNekjpn0EtS5+ado5ckHdm6rbcv6fjHtl0ypEqOzKDXirDUf0zS/2dO3UhS5wx6SeqcQS9JnTPoJalzBr0kdc6gl6TOGfSS1DmDXpI65w1TOma86UkaDc/oJalzBr0kdc6gl6TOGfSS1DmDXpI6tyxBn+TCJN9Msi/J1uX4DEnSYIZ+eWWSE4B/AN4ITAJfSbKrqr4x7M/SseclktLKsxzX0Z8H7KuqRwGSfArYCByXQb+U4FrKb4ZZiZ8raWVajqBfDeyftT0JvHoZPgcYbXCN6rMNa0kLsRxBnzna6jmdki3Alrb54yTfnOO404DvDbG240Wv44J+x+a4VpYVM658cEHdDx/Xbw5y0HIE/SSwdtb2GuDA4Z2qajuw/WhvlGSiqsaHW97o9Tou6HdsjmtlcVz/13JcdfMVYH2Ss5KcBFwB7FqGz5EkDWDoZ/RV9WySdwBfAE4APlZVDw37cyRJg1mWp1dW1R3AHUN4q6NO7axgvY4L+h2b41pZHNcsqXrO96SSpI74CARJ6tyKCfokf5Gkkpw26lqGIclfJ3kgyf1JvpjkN0Zd0zAk+VCSh9vYbkuyatQ1DUuSy5M8lORnSVb8FR09PqokyceSHEzy4KhrGaYka5PcmWRv+zv4zoUcvyKCPslaph+p8PioaxmiD1XVK6vqbOBzwF+OuqAh2Q38TlW9EvhP4H0jrmeYHgT+CPjyqAtZqlmPKrkIeAXw1iSvGG1VQ/Fx4MJRF7EMngXeU1UvB84Hrl7In9eKCHrgOuC9zHHj1UpVVT+ctfkCOhlbVX2xqp5tm3czfR9FF6pqb1XNdWPfSvTzR5VU1U+BmUeVrGhV9WXgqVHXMWxV9URV3dfWfwTsZfopBAM57n9nbJJLge9U1deSuW66XbmS/C1wJXAIeN2Iy1kOfwp8etRFaE7H9FElGp4k64BzgHsGPea4CPok/wr8+hy7rgXeD7zp2FY0HEcbV1XtrKprgWuTvA94B/CBY1rgIs03rtbnWqb/u3nzsaxtqQYZWycGelSJji9JXgh8BnjXYbMCR3VcBH1VvWGu9iS/C5wFzJzNrwHuS3JeVX33GJa4KEca1xw+AdzOCgn6+caVZBPwZmBDrbDrdxfwZ7bSDfSoEh0/kjyP6ZC/uao+u5Bjj4ugP5Kq+jpw+sx2kseA8apaEQ8rOpok66vqkbZ5KfDwKOsZliQXAtcAf1BVz4y6Hh3Rzx9VAnyH6UeV/PFoS9KRZPpM90Zgb1V9eKHHr5QvY3u0LcmDSR5gempqQZdLHcf+HngRsLtdOvqPoy5oWJL8YZJJ4DXA7Um+MOqaFqt9YT7zqJK9wC09PKokySeBfwdelmQyyeZR1zQkFwBvA17f/l3dn+TiQQ/2zlhJ6pxn9JLUOYNekjpn0EtS5wx6SeqcQS9JnTPoJalzBr0kdc6gl6TO/S/OrGlLlV3sWwAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x219a5978>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "subpop_expat_scores.loc[:, 'assim_score_log'] = subpop_expat_scores.loc[:, 'assim_score'].apply(pd.np.log)\n",
+    "plt.hist(subpop_expat_scores.loc[:, 'assim_score_log'].values, bins=20)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Great! We have the dependent variable, now we just need to set up the regression."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>     <td>assim_score_log</td> <th>  R-squared:         </th> <td>   0.248</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.246</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   134.0</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Wed, 04 Jul 2018</td> <th>  Prob (F-statistic):</th> <td>1.15e-266</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>12:14:19</td>     <th>  Log-Likelihood:    </th> <td> -4290.7</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>  4480</td>      <th>  AIC:               </th> <td>   8605.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>  4468</td>      <th>  BIC:               </th> <td>   8682.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>    11</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "                          <td></td>                            <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>                                        <td>    0.4603</td> <td>    0.033</td> <td>   14.085</td> <td> 0.000</td> <td>    0.396</td> <td>    0.524</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>genders_name[T.male]</th>                             <td>    0.0466</td> <td>    0.019</td> <td>    2.471</td> <td> 0.014</td> <td>    0.010</td> <td>    0.084</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.High school graduate]</th>           <td>   -0.0739</td> <td>    0.027</td> <td>   -2.768</td> <td> 0.006</td> <td>   -0.126</td> <td>   -0.022</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Less than high school graduate]</th> <td>    0.3409</td> <td>    0.027</td> <td>   12.779</td> <td> 0.000</td> <td>    0.289</td> <td>    0.393</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Two-year degree,Some college]</th>   <td>    0.2041</td> <td>    0.027</td> <td>    7.649</td> <td> 0.000</td> <td>    0.152</td> <td>    0.256</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.19_28]</th>                               <td>   -0.8987</td> <td>    0.030</td> <td>  -30.128</td> <td> 0.000</td> <td>   -0.957</td> <td>   -0.840</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.29_38]</th>                               <td>   -0.5761</td> <td>    0.030</td> <td>  -19.313</td> <td> 0.000</td> <td>   -0.635</td> <td>   -0.518</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.39_48]</th>                               <td>   -0.3589</td> <td>    0.030</td> <td>  -12.033</td> <td> 0.000</td> <td>   -0.417</td> <td>   -0.300</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.49_65]</th>                               <td>   -0.2108</td> <td>    0.030</td> <td>   -7.065</td> <td> 0.000</td> <td>   -0.269</td> <td>   -0.152</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.Northeast]</th>                         <td>   -0.1227</td> <td>    0.027</td> <td>   -4.598</td> <td> 0.000</td> <td>   -0.175</td> <td>   -0.070</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.South]</th>                             <td>   -0.1707</td> <td>    0.027</td> <td>   -6.399</td> <td> 0.000</td> <td>   -0.223</td> <td>   -0.118</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.West]</th>                              <td>   -0.2508</td> <td>    0.027</td> <td>   -9.400</td> <td> 0.000</td> <td>   -0.303</td> <td>   -0.198</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>404.725</td> <th>  Durbin-Watson:     </th> <td>   1.863</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td> 796.803</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td>-0.601</td>  <th>  Prob(JB):          </th> <td>9.47e-174</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 4.680</td>  <th>  Cond. No.          </th> <td>    7.69</td> \n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:        assim_score_log   R-squared:                       0.248\n",
+       "Model:                            OLS   Adj. R-squared:                  0.246\n",
+       "Method:                 Least Squares   F-statistic:                     134.0\n",
+       "Date:                Wed, 04 Jul 2018   Prob (F-statistic):          1.15e-266\n",
+       "Time:                        12:14:19   Log-Likelihood:                -4290.7\n",
+       "No. Observations:                4480   AIC:                             8605.\n",
+       "Df Residuals:                    4468   BIC:                             8682.\n",
+       "Df Model:                          11                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "====================================================================================================================\n",
+       "                                                       coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "--------------------------------------------------------------------------------------------------------------------\n",
+       "Intercept                                            0.4603      0.033     14.085      0.000       0.396       0.524\n",
+       "genders_name[T.male]                                 0.0466      0.019      2.471      0.014       0.010       0.084\n",
+       "education_name[T.High school graduate]              -0.0739      0.027     -2.768      0.006      -0.126      -0.022\n",
+       "education_name[T.Less than high school graduate]     0.3409      0.027     12.779      0.000       0.289       0.393\n",
+       "education_name[T.Two-year degree,Some college]       0.2041      0.027      7.649      0.000       0.152       0.256\n",
+       "ages_name[T.19_28]                                  -0.8987      0.030    -30.128      0.000      -0.957      -0.840\n",
+       "ages_name[T.29_38]                                  -0.5761      0.030    -19.313      0.000      -0.635      -0.518\n",
+       "ages_name[T.39_48]                                  -0.3589      0.030    -12.033      0.000      -0.417      -0.300\n",
+       "ages_name[T.49_65]                                  -0.2108      0.030     -7.065      0.000      -0.269      -0.152\n",
+       "region_name[T.Northeast]                            -0.1227      0.027     -4.598      0.000      -0.175      -0.070\n",
+       "region_name[T.South]                                -0.1707      0.027     -6.399      0.000      -0.223      -0.118\n",
+       "region_name[T.West]                                 -0.2508      0.027     -9.400      0.000      -0.303      -0.198\n",
+       "==============================================================================\n",
+       "Omnibus:                      404.725   Durbin-Watson:                   1.863\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):              796.803\n",
+       "Skew:                          -0.601   Prob(JB):                    9.47e-174\n",
+       "Kurtosis:                       4.680   Cond. No.                         7.69\n",
+       "==============================================================================\n",
+       "\n",
+       "Warnings:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from statsmodels.formula.api import ols\n",
+    "# let's set everything up as a categorical variable to start\n",
+    "# we might change age to an ordinal variable\n",
+    "independent_vars = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "formula = 'assim_score_log ~ %s'%('+'.join(independent_vars))\n",
+    "mod = ols(formula=formula, data=subpop_expat_scores)\n",
+    "res = mod.fit()\n",
+    "res.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "All of the same effects hold!\n",
+    "\n",
+    "- Younger => more assimilation (negative effects for all older age groups).\n",
+    "- Less/interrupted education => more assimilation.\n",
+    "- Male => more assimilation.\n",
+    "- Midwest => more assimilation.\n",
+    "- Language => TBD."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Does this pattern hold (1) using interests as random effects and (2) using mean assimilation score as the dependent variable?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "       <td>Model:</td>       <td>MixedLM</td> <td>Dependent Variable:</td> <td>assim_score_log</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>No. Observations:</td>  <td>4480</td>         <td>Method:</td>            <td>REML</td>      \n",
+       "</tr>\n",
+       "<tr>\n",
+       "     <td>No. Groups:</td>      <td>28</td>          <td>Scale:</td>            <td>0.2780</td>     \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>Min. group size:</td>    <td>160</td>       <td>Likelihood:</td>       <td>-3578.3877</td>   \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>Max. group size:</td>    <td>160</td>       <td>Converged:</td>            <td>Yes</td>      \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>Mean group size:</td>   <td>160.0</td>           <td></td>                  <td></td>        \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "                          <td></td>                          <th>Coef.</th> <th>Std.Err.</th>    <th>z</th>    <th>P>|z|</th> <th>[0.025</th> <th>0.975]</th>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>                                         <td>0.460</td>   <td>0.072</td>   <td>6.383</td>  <td>0.000</td>  <td>0.319</td>  <td>0.602</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>genders_name[T.male]</th>                              <td>0.047</td>   <td>0.016</td>   <td>2.958</td>  <td>0.003</td>  <td>0.016</td>  <td>0.077</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.High school graduate]</th>           <td>-0.074</td>   <td>0.022</td>  <td>-3.315</td>  <td>0.001</td> <td>-0.118</td> <td>-0.030</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Less than high school graduate]</th>  <td>0.341</td>   <td>0.022</td>  <td>15.301</td>  <td>0.000</td>  <td>0.297</td>  <td>0.385</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Two-year degree,Some college]</th>    <td>0.204</td>   <td>0.022</td>   <td>9.159</td>  <td>0.000</td>  <td>0.160</td>  <td>0.248</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.19_28]</th>                               <td>-0.899</td>   <td>0.025</td>  <td>-36.075</td> <td>0.000</td> <td>-0.948</td> <td>-0.850</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.29_38]</th>                               <td>-0.576</td>   <td>0.025</td>  <td>-23.125</td> <td>0.000</td> <td>-0.625</td> <td>-0.527</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.39_48]</th>                               <td>-0.359</td>   <td>0.025</td>  <td>-14.408</td> <td>0.000</td> <td>-0.408</td> <td>-0.310</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.49_65]</th>                               <td>-0.211</td>   <td>0.025</td>  <td>-8.460</td>  <td>0.000</td> <td>-0.260</td> <td>-0.162</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.Northeast]</th>                         <td>-0.123</td>   <td>0.022</td>  <td>-5.506</td>  <td>0.000</td> <td>-0.166</td> <td>-0.079</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.South]</th>                             <td>-0.171</td>   <td>0.022</td>  <td>-7.662</td>  <td>0.000</td> <td>-0.214</td> <td>-0.127</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.West]</th>                              <td>-0.251</td>   <td>0.022</td>  <td>-11.255</td> <td>0.000</td> <td>-0.294</td> <td>-0.207</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>groups RE</th>                                         <td>0.125</td>   <td>0.065</td>     <td></td>       <td></td>       <td></td>       <td></td>   \n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary2.Summary'>\n",
+       "\"\"\"\n",
+       "                            Mixed Linear Model Regression Results\n",
+       "============================================================================================\n",
+       "Model:                       MixedLM           Dependent Variable:           assim_score_log\n",
+       "No. Observations:            4480              Method:                       REML           \n",
+       "No. Groups:                  28                Scale:                        0.2780         \n",
+       "Min. group size:             160               Likelihood:                   -3578.3877     \n",
+       "Max. group size:             160               Converged:                    Yes            \n",
+       "Mean group size:             160.0                                                          \n",
+       "--------------------------------------------------------------------------------------------\n",
+       "                                                 Coef.  Std.Err.    z    P>|z| [0.025 0.975]\n",
+       "--------------------------------------------------------------------------------------------\n",
+       "Intercept                                         0.460    0.072   6.383 0.000  0.319  0.602\n",
+       "genders_name[T.male]                              0.047    0.016   2.958 0.003  0.016  0.077\n",
+       "education_name[T.High school graduate]           -0.074    0.022  -3.315 0.001 -0.118 -0.030\n",
+       "education_name[T.Less than high school graduate]  0.341    0.022  15.301 0.000  0.297  0.385\n",
+       "education_name[T.Two-year degree,Some college]    0.204    0.022   9.159 0.000  0.160  0.248\n",
+       "ages_name[T.19_28]                               -0.899    0.025 -36.075 0.000 -0.948 -0.850\n",
+       "ages_name[T.29_38]                               -0.576    0.025 -23.125 0.000 -0.625 -0.527\n",
+       "ages_name[T.39_48]                               -0.359    0.025 -14.408 0.000 -0.408 -0.310\n",
+       "ages_name[T.49_65]                               -0.211    0.025  -8.460 0.000 -0.260 -0.162\n",
+       "region_name[T.Northeast]                         -0.123    0.022  -5.506 0.000 -0.166 -0.079\n",
+       "region_name[T.South]                             -0.171    0.022  -7.662 0.000 -0.214 -0.127\n",
+       "region_name[T.West]                              -0.251    0.022 -11.255 0.000 -0.294 -0.207\n",
+       "groups RE                                         0.125    0.065                            \n",
+       "============================================================================================\n",
+       "\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from statsmodels.formula.api import mixedlm\n",
+    "# random effect\n",
+    "group_var = 'interest_name'\n",
+    "subpop_expat_scores.loc[:, group_var] = subpop_expat_scores.index\n",
+    "mod_rand = mixedlm(formula=formula, data=subpop_expat_scores, groups=subpop_expat_scores.loc[:, group_var])\n",
+    "res_rand = mod_rand.fit()\n",
+    "res_rand.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The effects still hold! "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's try predicting the mean assimilation score."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>assim_score_log</th>\n",
+       "      <th>genders_name</th>\n",
+       "      <th>education_name</th>\n",
+       "      <th>ages_name</th>\n",
+       "      <th>language_name</th>\n",
+       "      <th>region_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.729871</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.667032</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Northeast</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.418235</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>South</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.433103</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>All</td>\n",
+       "      <td>West</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.494217</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>19_28</td>\n",
+       "      <td>All</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   assim_score_log genders_name             education_name ages_name  \\\n",
+       "0         0.729871       female  Bachelor's degree or more     13_18   \n",
+       "1         0.667032       female  Bachelor's degree or more     13_18   \n",
+       "2         0.418235       female  Bachelor's degree or more     13_18   \n",
+       "3         0.433103       female  Bachelor's degree or more     13_18   \n",
+       "4        -0.494217       female  Bachelor's degree or more     19_28   \n",
+       "\n",
+       "  language_name region_name  \n",
+       "0           All     Midwest  \n",
+       "1           All   Northeast  \n",
+       "2           All       South  \n",
+       "3           All        West  \n",
+       "4           All     Midwest  "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "group_cols = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "subpop_expat_scores_grouped_1 = subpop_expat_scores.groupby(group_cols).apply(lambda x: x.loc[:, ['assim_score_log']].mean())\n",
+    "subpop_expat_scores_grouped_2 = subpop_expat_scores.groupby(group_cols).apply(lambda x: x.loc[:, group_cols].iloc[0, :])\n",
+    "subpop_expat_scores_grouped_1.index = np.arange(len(subpop_expat_scores_grouped_1))\n",
+    "subpop_expat_scores_grouped_2.index = np.arange(len(subpop_expat_scores_grouped_2))\n",
+    "subpop_expat_scores_grouped = pd.concat([subpop_expat_scores_grouped_1, subpop_expat_scores_grouped_2], axis=1)\n",
+    "subpop_expat_scores_grouped.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>     <td>assim_score_log</td> <th>  R-squared:         </th> <td>   0.830</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.817</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   65.53</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Wed, 04 Jul 2018</td> <th>  Prob (F-statistic):</th> <td>3.33e-51</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>12:14:20</td>     <th>  Log-Likelihood:    </th> <td>  62.146</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>   160</td>      <th>  AIC:               </th> <td>  -100.3</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>   148</td>      <th>  BIC:               </th> <td>  -63.39</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>    11</td>      <th>                     </th>     <td> </td>   \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>   \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "                          <td></td>                            <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>                                        <td>    0.4603</td> <td>    0.047</td> <td>    9.851</td> <td> 0.000</td> <td>    0.368</td> <td>    0.553</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>genders_name[T.male]</th>                             <td>    0.0466</td> <td>    0.027</td> <td>    1.728</td> <td> 0.086</td> <td>   -0.007</td> <td>    0.100</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.High school graduate]</th>           <td>   -0.0739</td> <td>    0.038</td> <td>   -1.936</td> <td> 0.055</td> <td>   -0.149</td> <td>    0.002</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Less than high school graduate]</th> <td>    0.3409</td> <td>    0.038</td> <td>    8.937</td> <td> 0.000</td> <td>    0.266</td> <td>    0.416</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Two-year degree,Some college]</th>   <td>    0.2041</td> <td>    0.038</td> <td>    5.349</td> <td> 0.000</td> <td>    0.129</td> <td>    0.279</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.19_28]</th>                               <td>   -0.8987</td> <td>    0.043</td> <td>  -21.071</td> <td> 0.000</td> <td>   -0.983</td> <td>   -0.814</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.29_38]</th>                               <td>   -0.5761</td> <td>    0.043</td> <td>  -13.507</td> <td> 0.000</td> <td>   -0.660</td> <td>   -0.492</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.39_48]</th>                               <td>   -0.3589</td> <td>    0.043</td> <td>   -8.416</td> <td> 0.000</td> <td>   -0.443</td> <td>   -0.275</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.49_65]</th>                               <td>   -0.2108</td> <td>    0.043</td> <td>   -4.941</td> <td> 0.000</td> <td>   -0.295</td> <td>   -0.126</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.Northeast]</th>                         <td>   -0.1227</td> <td>    0.038</td> <td>   -3.216</td> <td> 0.002</td> <td>   -0.198</td> <td>   -0.047</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.South]</th>                             <td>   -0.1707</td> <td>    0.038</td> <td>   -4.475</td> <td> 0.000</td> <td>   -0.246</td> <td>   -0.095</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.West]</th>                              <td>   -0.2508</td> <td>    0.038</td> <td>   -6.574</td> <td> 0.000</td> <td>   -0.326</td> <td>   -0.175</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>11.181</td> <th>  Durbin-Watson:     </th> <td>   1.220</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.004</td> <th>  Jarque-Bera (JB):  </th> <td>  12.023</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td>-0.545</td> <th>  Prob(JB):          </th> <td> 0.00245</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 3.785</td> <th>  Cond. No.          </th> <td>    7.69</td>\n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:        assim_score_log   R-squared:                       0.830\n",
+       "Model:                            OLS   Adj. R-squared:                  0.817\n",
+       "Method:                 Least Squares   F-statistic:                     65.53\n",
+       "Date:                Wed, 04 Jul 2018   Prob (F-statistic):           3.33e-51\n",
+       "Time:                        12:14:20   Log-Likelihood:                 62.146\n",
+       "No. Observations:                 160   AIC:                            -100.3\n",
+       "Df Residuals:                     148   BIC:                            -63.39\n",
+       "Df Model:                          11                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "====================================================================================================================\n",
+       "                                                       coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "--------------------------------------------------------------------------------------------------------------------\n",
+       "Intercept                                            0.4603      0.047      9.851      0.000       0.368       0.553\n",
+       "genders_name[T.male]                                 0.0466      0.027      1.728      0.086      -0.007       0.100\n",
+       "education_name[T.High school graduate]              -0.0739      0.038     -1.936      0.055      -0.149       0.002\n",
+       "education_name[T.Less than high school graduate]     0.3409      0.038      8.937      0.000       0.266       0.416\n",
+       "education_name[T.Two-year degree,Some college]       0.2041      0.038      5.349      0.000       0.129       0.279\n",
+       "ages_name[T.19_28]                                  -0.8987      0.043    -21.071      0.000      -0.983      -0.814\n",
+       "ages_name[T.29_38]                                  -0.5761      0.043    -13.507      0.000      -0.660      -0.492\n",
+       "ages_name[T.39_48]                                  -0.3589      0.043     -8.416      0.000      -0.443      -0.275\n",
+       "ages_name[T.49_65]                                  -0.2108      0.043     -4.941      0.000      -0.295      -0.126\n",
+       "region_name[T.Northeast]                            -0.1227      0.038     -3.216      0.002      -0.198      -0.047\n",
+       "region_name[T.South]                                -0.1707      0.038     -4.475      0.000      -0.246      -0.095\n",
+       "region_name[T.West]                                 -0.2508      0.038     -6.574      0.000      -0.326      -0.175\n",
+       "==============================================================================\n",
+       "Omnibus:                       11.181   Durbin-Watson:                   1.220\n",
+       "Prob(Omnibus):                  0.004   Jarque-Bera (JB):               12.023\n",
+       "Skew:                          -0.545   Prob(JB):                      0.00245\n",
+       "Kurtosis:                       3.785   Cond. No.                         7.69\n",
+       "==============================================================================\n",
+       "\n",
+       "Warnings:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mod_mean = ols(formula=formula, data=subpop_expat_scores_grouped)\n",
+    "res_mean = mod_mean.fit()\n",
+    "res_mean.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- $R^{2}$ is higher because there is less variance in error, because less prediction.\n",
+    "- Gender effect is insigificant.\n",
+    "- Education, ages, region effects are still significant."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Top-20 music interest assimilation, with language"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Same test as main result above but with language. We'll need to recompute the scores and tone down the TOP_DEST_PCT because of the small data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>mau_audience</th>\n",
+       "      <th>mau_audience_pct</th>\n",
+       "      <th>genders_name</th>\n",
+       "      <th>education_name</th>\n",
+       "      <th>ages_name</th>\n",
+       "      <th>language_name</th>\n",
+       "      <th>region_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>235</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos_100_int...</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>1800</td>\n",
+       "      <td>0.084112</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Bilingual</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>715</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos_100_int...</td>\n",
+       "      <td>Arts and music</td>\n",
+       "      <td>1600</td>\n",
+       "      <td>0.074766</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Bilingual</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1195</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos_100_int...</td>\n",
+       "      <td>Rock music</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.046729</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Bilingual</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1675</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos_100_int...</td>\n",
+       "      <td>Pop music</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.046729</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Bilingual</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2155</th>\n",
+       "      <td>hispanic_MX_music_interests_all_combos_100_int...</td>\n",
+       "      <td>Hip hop music</td>\n",
+       "      <td>1000</td>\n",
+       "      <td>0.046729</td>\n",
+       "      <td>female</td>\n",
+       "      <td>Bachelor's degree or more</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>Bilingual</td>\n",
+       "      <td>Midwest</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                   name   interest_name  \\\n",
+       "235   hispanic_MX_music_interests_all_combos_100_int...           Music   \n",
+       "715   hispanic_MX_music_interests_all_combos_100_int...  Arts and music   \n",
+       "1195  hispanic_MX_music_interests_all_combos_100_int...      Rock music   \n",
+       "1675  hispanic_MX_music_interests_all_combos_100_int...       Pop music   \n",
+       "2155  hispanic_MX_music_interests_all_combos_100_int...   Hip hop music   \n",
+       "\n",
+       "      mau_audience  mau_audience_pct genders_name             education_name  \\\n",
+       "235           1800          0.084112       female  Bachelor's degree or more   \n",
+       "715           1600          0.074766       female  Bachelor's degree or more   \n",
+       "1195          1000          0.046729       female  Bachelor's degree or more   \n",
+       "1675          1000          0.046729       female  Bachelor's degree or more   \n",
+       "2155          1000          0.046729       female  Bachelor's degree or more   \n",
+       "\n",
+       "     ages_name language_name region_name  \n",
+       "235      13_18     Bilingual     Midwest  \n",
+       "715      13_18     Bilingual     Midwest  \n",
+       "1195     13_18     Bilingual     Midwest  \n",
+       "1675     13_18     Bilingual     Midwest  \n",
+       "2155     13_18     Bilingual     Midwest  "
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "subpop_data_20 = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_all_combos_20_interests.tsv', sep='\\t', index_col=False)\n",
+    "# set region name\n",
+    "subpop_data_20.loc[:, 'geo_locations'] = subpop_data_20.loc[:, 'geo_locations'].apply(json.loads)\n",
+    "state_region_lookup = {\n",
+    "    '3862_3888_3872_3864_3875_3881_3882_3849_3873':'Northeast',\n",
+    "   '3878_3857_3865_3856_3892_3866_3858_3868_3859_3870_3884_3877':'Midwest',\n",
+    "   '3891_3889_3850_3863_3860_3876_3883_3851_3885_3853_3843_3867_3846_3861_3879_3886':'South',\n",
+    "    '3869_3893_3848_3874_3855_3887_3845_3890_3880_3871_3847_3844_3854':'West',\n",
+    "}\n",
+    "subpop_data_20.loc[:, 'region_name'] = subpop_data_20.loc[:, 'geo_locations'].apply(lambda x: state_region_lookup['_'.join([str(y['key']) for y in x['values']])] if len(x['values']) > 1 else 'All')\n",
+    "# normalize\n",
+    "subpop_data_20 = norm_demo_combo_data(subpop_data_20)\n",
+    "subpop_data_20.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "# compute source, dest percents\n",
+    "source_data_20 = source_data_orig[source_data_orig.loc[:, 'interest_name'].isin(subpop_data_20.loc[:, 'interest_name'].unique())]\n",
+    "dest_data_20 = dest_data_orig[dest_data_orig.loc[:, 'interest_name'].isin(subpop_data_20.loc[:, 'interest_name'].unique())]\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "source_data_20.loc[:, count_var_pct] = source_data_20.loc[:, count_var] / source_data_20.loc[:, count_var].sum()\n",
+    "dest_data_20.loc[:, count_var_pct] = dest_data_20.loc[:, count_var] / dest_data_20.loc[:, count_var].sum()\n",
+    "source_data_20_pct = source_data_20.loc[:, count_var_pct]\n",
+    "dest_data_20_pct = dest_data_20.loc[:, count_var_pct]\n",
+    "source_data_20_pct.index = source_data_20.loc[:, 'interest_name'].values\n",
+    "dest_data_20_pct.index = dest_data_20.loc[:, 'interest_name'].values\n",
+    "# compute assimilation\n",
+    "group_cols = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "subpop_data_20_scores = compute_all_expat_scores(source_data_20_pct, \n",
+    "                                                  dest_data_20_pct, \n",
+    "                                                  subpop_data_20,\n",
+    "                                                  top_dest_pct=0, \n",
+    "                                                  count_var_pct='mau_audience_pct',\n",
+    "                                                  group_cols=group_cols)\n",
+    "# compute log\n",
+    "subpop_data_20_scores.loc[:, 'assim_score_log'] = subpop_data_20_scores.loc[:, 'assim_score'].apply(np.log)\n",
+    "subpop_data_20_scores.loc[:, 'interest_name'] = subpop_data_20_scores.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "8 interests\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('%d interests'%(subpop_data_20_scores.loc[:, 'interest_name'].nunique()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>     <td>assim_score_log</td> <th>  R-squared:         </th> <td>   0.262</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.259</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   104.3</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Wed, 04 Jul 2018</td> <th>  Prob (F-statistic):</th> <td>2.84e-240</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>12:16:42</td>     <th>  Log-Likelihood:    </th> <td> -2709.7</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>  3840</td>      <th>  AIC:               </th> <td>   5447.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>  3826</td>      <th>  BIC:               </th> <td>   5535.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>    13</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "                          <td></td>                            <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>                                        <td>    0.3021</td> <td>    0.030</td> <td>   10.192</td> <td> 0.000</td> <td>    0.244</td> <td>    0.360</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>genders_name[T.male]</th>                             <td>   -0.1211</td> <td>    0.016</td> <td>   -7.644</td> <td> 0.000</td> <td>   -0.152</td> <td>   -0.090</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.High school graduate]</th>           <td>   -0.0411</td> <td>    0.022</td> <td>   -1.835</td> <td> 0.067</td> <td>   -0.085</td> <td>    0.003</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Less than high school graduate]</th> <td>    0.2779</td> <td>    0.022</td> <td>   12.403</td> <td> 0.000</td> <td>    0.234</td> <td>    0.322</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Two-year degree,Some college]</th>   <td>    0.2270</td> <td>    0.022</td> <td>   10.130</td> <td> 0.000</td> <td>    0.183</td> <td>    0.271</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.19_28]</th>                               <td>   -0.5688</td> <td>    0.025</td> <td>  -22.706</td> <td> 0.000</td> <td>   -0.618</td> <td>   -0.520</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.29_38]</th>                               <td>   -0.5003</td> <td>    0.025</td> <td>  -19.969</td> <td> 0.000</td> <td>   -0.549</td> <td>   -0.451</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.39_48]</th>                               <td>   -0.3720</td> <td>    0.025</td> <td>  -14.847</td> <td> 0.000</td> <td>   -0.421</td> <td>   -0.323</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.49_65]</th>                               <td>   -0.2175</td> <td>    0.025</td> <td>   -8.683</td> <td> 0.000</td> <td>   -0.267</td> <td>   -0.168</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>language_name[T.English]</th>                         <td>    0.1063</td> <td>    0.019</td> <td>    5.477</td> <td> 0.000</td> <td>    0.068</td> <td>    0.144</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>language_name[T.Spanish]</th>                         <td>   -0.1684</td> <td>    0.019</td> <td>   -8.676</td> <td> 0.000</td> <td>   -0.206</td> <td>   -0.130</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.Northeast]</th>                         <td>   -0.0943</td> <td>    0.022</td> <td>   -4.208</td> <td> 0.000</td> <td>   -0.138</td> <td>   -0.050</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.South]</th>                             <td>   -0.1915</td> <td>    0.022</td> <td>   -8.547</td> <td> 0.000</td> <td>   -0.235</td> <td>   -0.148</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.West]</th>                              <td>   -0.2216</td> <td>    0.022</td> <td>   -9.891</td> <td> 0.000</td> <td>   -0.266</td> <td>   -0.178</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>1502.500</td> <th>  Durbin-Watson:     </th> <td>   2.026</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th>  <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>10411.240</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>           <td>-1.702</td>  <th>  Prob(JB):          </th> <td>    0.00</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>       <td>10.313</td>  <th>  Cond. No.          </th> <td>    8.26</td> \n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:        assim_score_log   R-squared:                       0.262\n",
+       "Model:                            OLS   Adj. R-squared:                  0.259\n",
+       "Method:                 Least Squares   F-statistic:                     104.3\n",
+       "Date:                Wed, 04 Jul 2018   Prob (F-statistic):          2.84e-240\n",
+       "Time:                        12:16:42   Log-Likelihood:                -2709.7\n",
+       "No. Observations:                3840   AIC:                             5447.\n",
+       "Df Residuals:                    3826   BIC:                             5535.\n",
+       "Df Model:                          13                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "====================================================================================================================\n",
+       "                                                       coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "--------------------------------------------------------------------------------------------------------------------\n",
+       "Intercept                                            0.3021      0.030     10.192      0.000       0.244       0.360\n",
+       "genders_name[T.male]                                -0.1211      0.016     -7.644      0.000      -0.152      -0.090\n",
+       "education_name[T.High school graduate]              -0.0411      0.022     -1.835      0.067      -0.085       0.003\n",
+       "education_name[T.Less than high school graduate]     0.2779      0.022     12.403      0.000       0.234       0.322\n",
+       "education_name[T.Two-year degree,Some college]       0.2270      0.022     10.130      0.000       0.183       0.271\n",
+       "ages_name[T.19_28]                                  -0.5688      0.025    -22.706      0.000      -0.618      -0.520\n",
+       "ages_name[T.29_38]                                  -0.5003      0.025    -19.969      0.000      -0.549      -0.451\n",
+       "ages_name[T.39_48]                                  -0.3720      0.025    -14.847      0.000      -0.421      -0.323\n",
+       "ages_name[T.49_65]                                  -0.2175      0.025     -8.683      0.000      -0.267      -0.168\n",
+       "language_name[T.English]                             0.1063      0.019      5.477      0.000       0.068       0.144\n",
+       "language_name[T.Spanish]                            -0.1684      0.019     -8.676      0.000      -0.206      -0.130\n",
+       "region_name[T.Northeast]                            -0.0943      0.022     -4.208      0.000      -0.138      -0.050\n",
+       "region_name[T.South]                                -0.1915      0.022     -8.547      0.000      -0.235      -0.148\n",
+       "region_name[T.West]                                 -0.2216      0.022     -9.891      0.000      -0.266      -0.178\n",
+       "==============================================================================\n",
+       "Omnibus:                     1502.500   Durbin-Watson:                   2.026\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):            10411.240\n",
+       "Skew:                          -1.702   Prob(JB):                         0.00\n",
+       "Kurtosis:                      10.313   Cond. No.                         8.26\n",
+       "==============================================================================\n",
+       "\n",
+       "Warnings:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "independent_vars = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "formula = 'assim_score_log ~ %s'%('+'.join(independent_vars))\n",
+    "mod_20 = ols(formula=formula, data=subpop_data_20_scores)\n",
+    "res_20 = mod_20.fit()\n",
+    "res_20.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Mostly the same effects, except that gender is reversed and some factors are insignificant.\n",
+    "\n",
+    "- Male => less assimilation.\n",
+    "- Less/incomplete education => more assimilation.\n",
+    "- Lower age => more assimilation.\n",
+    "- Spanish, Bilingual => less assimilation.\n",
+    "- Midwest => more assimilation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "       <td>Model:</td>       <td>MixedLM</td> <td>Dependent Variable:</td> <td>assim_score_log</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>No. Observations:</td>  <td>3840</td>         <td>Method:</td>            <td>REML</td>      \n",
+       "</tr>\n",
+       "<tr>\n",
+       "     <td>No. Groups:</td>       <td>8</td>          <td>Scale:</td>            <td>0.1974</td>     \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>Min. group size:</td>    <td>480</td>       <td>Likelihood:</td>       <td>-2387.3869</td>   \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>Max. group size:</td>    <td>480</td>       <td>Converged:</td>            <td>Yes</td>      \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <td>Mean group size:</td>   <td>480.0</td>           <td></td>                  <td></td>        \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "                          <td></td>                          <th>Coef.</th> <th>Std.Err.</th>    <th>z</th>    <th>P>|z|</th> <th>[0.025</th> <th>0.975]</th>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>                                         <td>0.302</td>   <td>0.083</td>   <td>3.628</td>  <td>0.000</td>  <td>0.139</td>  <td>0.465</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>genders_name[T.male]</th>                             <td>-0.121</td>   <td>0.014</td>  <td>-8.446</td>  <td>0.000</td> <td>-0.149</td> <td>-0.093</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.High school graduate]</th>           <td>-0.041</td>   <td>0.020</td>  <td>-2.027</td>  <td>0.043</td> <td>-0.081</td> <td>-0.001</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Less than high school graduate]</th>  <td>0.278</td>   <td>0.020</td>  <td>13.705</td>  <td>0.000</td>  <td>0.238</td>  <td>0.318</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Two-year degree,Some college]</th>    <td>0.227</td>   <td>0.020</td>  <td>11.194</td>  <td>0.000</td>  <td>0.187</td>  <td>0.267</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.19_28]</th>                               <td>-0.569</td>   <td>0.023</td>  <td>-25.091</td> <td>0.000</td> <td>-0.613</td> <td>-0.524</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.29_38]</th>                               <td>-0.500</td>   <td>0.023</td>  <td>-22.067</td> <td>0.000</td> <td>-0.545</td> <td>-0.456</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.39_48]</th>                               <td>-0.372</td>   <td>0.023</td>  <td>-16.406</td> <td>0.000</td> <td>-0.416</td> <td>-0.328</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.49_65]</th>                               <td>-0.218</td>   <td>0.023</td>  <td>-9.595</td>  <td>0.000</td> <td>-0.262</td> <td>-0.173</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>language_name[T.English]</th>                          <td>0.106</td>   <td>0.018</td>   <td>6.052</td>  <td>0.000</td>  <td>0.072</td>  <td>0.141</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>language_name[T.Spanish]</th>                         <td>-0.168</td>   <td>0.018</td>  <td>-9.587</td>  <td>0.000</td> <td>-0.203</td> <td>-0.134</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.Northeast]</th>                         <td>-0.094</td>   <td>0.020</td>  <td>-4.651</td>  <td>0.000</td> <td>-0.134</td> <td>-0.055</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.South]</th>                             <td>-0.192</td>   <td>0.020</td>  <td>-9.444</td>  <td>0.000</td> <td>-0.231</td> <td>-0.152</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.West]</th>                              <td>-0.222</td>   <td>0.020</td>  <td>-10.929</td> <td>0.000</td> <td>-0.261</td> <td>-0.182</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>groups RE</th>                                         <td>0.050</td>   <td>0.060</td>     <td></td>       <td></td>       <td></td>       <td></td>   \n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary2.Summary'>\n",
+       "\"\"\"\n",
+       "                            Mixed Linear Model Regression Results\n",
+       "============================================================================================\n",
+       "Model:                       MixedLM           Dependent Variable:           assim_score_log\n",
+       "No. Observations:            3840              Method:                       REML           \n",
+       "No. Groups:                  8                 Scale:                        0.1974         \n",
+       "Min. group size:             480               Likelihood:                   -2387.3869     \n",
+       "Max. group size:             480               Converged:                    Yes            \n",
+       "Mean group size:             480.0                                                          \n",
+       "--------------------------------------------------------------------------------------------\n",
+       "                                                 Coef.  Std.Err.    z    P>|z| [0.025 0.975]\n",
+       "--------------------------------------------------------------------------------------------\n",
+       "Intercept                                         0.302    0.083   3.628 0.000  0.139  0.465\n",
+       "genders_name[T.male]                             -0.121    0.014  -8.446 0.000 -0.149 -0.093\n",
+       "education_name[T.High school graduate]           -0.041    0.020  -2.027 0.043 -0.081 -0.001\n",
+       "education_name[T.Less than high school graduate]  0.278    0.020  13.705 0.000  0.238  0.318\n",
+       "education_name[T.Two-year degree,Some college]    0.227    0.020  11.194 0.000  0.187  0.267\n",
+       "ages_name[T.19_28]                               -0.569    0.023 -25.091 0.000 -0.613 -0.524\n",
+       "ages_name[T.29_38]                               -0.500    0.023 -22.067 0.000 -0.545 -0.456\n",
+       "ages_name[T.39_48]                               -0.372    0.023 -16.406 0.000 -0.416 -0.328\n",
+       "ages_name[T.49_65]                               -0.218    0.023  -9.595 0.000 -0.262 -0.173\n",
+       "language_name[T.English]                          0.106    0.018   6.052 0.000  0.072  0.141\n",
+       "language_name[T.Spanish]                         -0.168    0.018  -9.587 0.000 -0.203 -0.134\n",
+       "region_name[T.Northeast]                         -0.094    0.020  -4.651 0.000 -0.134 -0.055\n",
+       "region_name[T.South]                             -0.192    0.020  -9.444 0.000 -0.231 -0.152\n",
+       "region_name[T.West]                              -0.222    0.020 -10.929 0.000 -0.261 -0.182\n",
+       "groups RE                                         0.050    0.060                            \n",
+       "============================================================================================\n",
+       "\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# double-check with random effects\n",
+    "mod_20_rand = mixedlm(formula=formula, data=subpop_data_20_scores, groups=subpop_data_20_scores.loc[:,'interest_name'])\n",
+    "res_20_rand = mod_20_rand.fit()\n",
+    "res_20_rand.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Same effects as before, including negative correlation with male gender."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Assimilation: US white interests\n",
+    "Let's run the same tests as above but use US white population as the destination population."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>mau_audience</th>\n",
+       "      <th>mau_audience_pct</th>\n",
+       "      <th>demo_val</th>\n",
+       "      <th>demo_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>hispanic_MX_music_interests_age_ranges</td>\n",
+       "      <td>Rocksteady</td>\n",
+       "      <td>3000</td>\n",
+       "      <td>0.000254</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>ages</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>hispanic_MX_music_interests_age_ranges</td>\n",
+       "      <td>Christian hip hop</td>\n",
+       "      <td>8200</td>\n",
+       "      <td>0.000695</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>ages</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>hispanic_MX_music_interests_age_ranges</td>\n",
+       "      <td>Noise music</td>\n",
+       "      <td>8800</td>\n",
+       "      <td>0.000746</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>ages</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>hispanic_MX_music_interests_age_ranges</td>\n",
+       "      <td>Flamenco</td>\n",
+       "      <td>5500</td>\n",
+       "      <td>0.000466</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>ages</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>hispanic_MX_music_interests_age_ranges</td>\n",
+       "      <td>Psychedelic trance</td>\n",
+       "      <td>1200</td>\n",
+       "      <td>0.000102</td>\n",
+       "      <td>13_18</td>\n",
+       "      <td>ages</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                      name       interest_name  mau_audience  \\\n",
+       "0   hispanic_MX_music_interests_age_ranges          Rocksteady          3000   \n",
+       "5   hispanic_MX_music_interests_age_ranges   Christian hip hop          8200   \n",
+       "10  hispanic_MX_music_interests_age_ranges         Noise music          8800   \n",
+       "15  hispanic_MX_music_interests_age_ranges            Flamenco          5500   \n",
+       "20  hispanic_MX_music_interests_age_ranges  Psychedelic trance          1200   \n",
+       "\n",
+       "    mau_audience_pct demo_val demo_name  \n",
+       "0           0.000254    13_18      ages  \n",
+       "5           0.000695    13_18      ages  \n",
+       "10          0.000746    13_18      ages  \n",
+       "15          0.000466    13_18      ages  \n",
+       "20          0.000102    13_18      ages  "
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# reload expat data just in case notebook crashes\n",
+    "gender_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_genders.tsv', sep='\\t', index_col=False)\n",
+    "age_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_age_ranges.tsv', sep='\\t', index_col=False)\n",
+    "education_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_education.tsv', sep='\\t', index_col=False)\n",
+    "ne_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_Northeast.tsv', sep='\\t', index_col=False)\n",
+    "mw_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_Midwest.tsv', sep='\\t', index_col=False)\n",
+    "s_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_South.tsv', sep='\\t', index_col=False)\n",
+    "w_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_West.tsv', sep='\\t', index_col=False)\n",
+    "lang_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_language.tsv', sep='\\t', index_col=False)\n",
+    "mx_1_data = pd.concat([gender_data, age_data, education_data, \n",
+    "                      ne_region_data, mw_region_data, s_region_data,\n",
+    "                      w_region_data, lang_data], axis=0)\n",
+    "mx_1_data = norm_demo_combo_data(mx_1_data, include_demo_val=True)\n",
+    "mx_1_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "711 shared interests\n"
+     ]
+    }
+   ],
+   "source": [
+    "dest_data_white_orig = pd.read_csv('../../data/query_results/US_white_music_interests.tsv', sep='\\t', index_col=False)\n",
+    "source_data_orig = pd.read_csv('../../data/query_results/MX_non_expats_music_interests.tsv', sep='\\t', index_col=False)\n",
+    "source_data_orig.loc[:, 'interest_name'] = source_data_orig.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "dest_data_white_orig.loc[:, 'interest_name'] = dest_data_white_orig.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "source_data_orig.loc[:, 'location_name'] = source_data_orig.loc[:, 'geo_locations'].apply(lambda x: json.loads(x)['values'][0])\n",
+    "dest_data_white_orig.loc[:, 'location_name'] = dest_data_orig.loc[:, 'geo_locations'].apply(lambda x: json.loads(x)['values'][0])\n",
+    "# restrict to relevant interests\n",
+    "shared_interests = (set(mx_1_data.loc[:, 'interest_name'].unique()) & \n",
+    "                    set(source_data_orig.loc[:, 'interest_name'].unique()))\n",
+    "print('%d shared interests'%(len(shared_interests)))\n",
+    "source_data = source_data_orig[source_data_orig.loc[:, 'interest_name'].isin(shared_interests)]\n",
+    "dest_data_white = dest_data_white_orig[dest_data_white_orig.loc[:, 'interest_name'].isin(shared_interests)]\n",
+    "mx_1_data = mx_1_data[mx_1_data.loc[:, 'interest_name'].isin(shared_interests)]\n",
+    "# remove max vals\n",
+    "def remove_max(data, count_var):\n",
+    "    max_val = data.loc[:, count_var].max()\n",
+    "    max_rows = pd.np.where(data.loc[:, count_var] == max_val)\n",
+    "    if(len(max_rows) > 1):\n",
+    "        print('removing %d max rows'%(len(max_rows)))\n",
+    "        data.iloc[max_rows, :] = 0\n",
+    "    return data\n",
+    "source_data = remove_max(source_data, count_var)\n",
+    "dest_data_white = remove_max(dest_data_white, count_var)\n",
+    "# normalize\n",
+    "source_data.loc[:, count_var_pct] = source_data.loc[:, count_var] / source_data.loc[:, count_var].sum()\n",
+    "dest_data_white.loc[:, count_var_pct] = dest_data_white.loc[:, count_var] / dest_data_white.loc[:, count_var].sum()\n",
+    "# organize\n",
+    "source_dest_cols = ['name', 'interest_name', 'location_name', count_var, count_var_pct]\n",
+    "source_data = source_data.loc[:, source_dest_cols]\n",
+    "dest_data_white = dest_data_white.loc[:, source_dest_cols]\n",
+    "source_data.sort_values('interest_name', inplace=True, ascending=True)\n",
+    "dest_data_white.sort_values('interest_name', inplace=True, ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "# compute expat scores\n",
+    "source_pct = source_data.loc[:, count_var_pct]\n",
+    "dest_pct_white = dest_data_white.loc[:, count_var_pct]\n",
+    "source_pct.index = source_data.loc[:, 'interest_name'].values\n",
+    "dest_pct_white.index = dest_data_white.loc[:, 'interest_name'].values\n",
+    "top_dest_pct = 50\n",
+    "mx_1_white_scores = compute_all_expat_scores(source_pct, \n",
+    "                                              dest_pct_white,\n",
+    "                                              mx_1_data, \n",
+    "                                              top_dest_pct=50)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x232aef60>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=58.010 (p=0.000)\n",
+      "13_18 vs. 19_28 have difference in medians stat=18.957 (p=0.000)\n",
+      "19_28 vs. 29_38 have difference in medians stat=9.218 (p=0.002)\n",
+      "19_28 vs. 39_48 have difference in medians stat=35.790 (p=0.000)\n",
+      "19_28 vs. 49_65 have difference in medians stat=41.798 (p=0.000)\n",
+      "29_38 vs. 39_48 have difference in medians stat=11.395 (p=0.001)\n",
+      "29_38 vs. 49_65 have difference in medians stat=20.405 (p=0.000)\n",
+      "demo education has difference in medians stat=9.782 (p=0.021)\n",
+      "demo genders has difference in medians stat=12.750 (p=0.000)\n",
+      "female vs. male have difference in medians stat=12.750 (p=0.000)\n",
+      "demo language has difference in medians stat=82.181 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians stat=32.862 (p=0.000)\n",
+      "Bilingual vs. Spanish have difference in medians stat=19.951 (p=0.000)\n",
+      "English vs. Spanish have difference in medians stat=71.340 (p=0.000)\n",
+      "demo region has difference in medians stat=10.155 (p=0.017)\n",
+      "Midwest vs. Northeast have difference in medians stat=7.001 (p=0.008)\n",
+      "13_18 vs 19_28: mean diff=0.718 t=6.468 (p=1.520E-09)\n",
+      "13_18 vs 29_38: mean diff=0.409 t=3.674 (p=3.388E-04)\n",
+      "19_28 vs 29_38: mean diff=-0.309 t=-5.108 (p=1.037E-06)\n",
+      "19_28 vs 39_48: mean diff=-0.531 t=-6.128 (p=8.396E-09)\n",
+      "19_28 vs 49_65: mean diff=-0.625 t=-5.769 (p=4.843E-08)\n",
+      "29_38 vs 39_48: mean diff=-0.222 t=-2.982 (p=3.375E-03)\n",
+      "29_38 vs 49_65: mean diff=-0.316 t=-2.992 (p=3.277E-03)\n",
+      "Bachelor's degree or more vs Less than high school graduate: mean diff=-0.359 t=-4.492 (p=1.455E-05)\n",
+      "Bachelor's degree or more vs Two-year degree,Some college: mean diff=-0.182 t=-3.344 (p=1.059E-03)\n",
+      "High school graduate vs Less than high school graduate: mean diff=-0.366 t=-5.278 (p=4.833E-07)\n",
+      "High school graduate vs Two-year degree,Some college: mean diff=-0.189 t=-3.622 (p=4.076E-04)\n",
+      "Less than high school graduate vs Two-year degree,Some college: mean diff=0.177 t=3.004 (p=3.150E-03)\n",
+      "female vs male: mean diff=-0.199 t=-2.209 (p=2.876E-02)\n",
+      "Bilingual vs English: mean diff=-0.361 t=-4.528 (p=1.256E-05)\n",
+      "Bilingual vs Spanish: mean diff=0.441 t=9.124 (p=6.755E-16)\n",
+      "English vs Spanish: mean diff=0.802 t=7.675 (p=2.498E-12)\n",
+      "Midwest vs Northeast: mean diff=0.273 t=7.916 (p=6.574E-13)\n",
+      "Midwest vs South: mean diff=0.191 t=3.463 (p=7.087E-04)\n",
+      "Midwest vs West: mean diff=0.241 t=5.207 (p=6.667E-07)\n"
+     ]
+    }
+   ],
+   "source": [
+    "plot_demo_combo_scores(expat_white_scores)\n",
+    "test_score_significance(expat_white_scores)\n",
+    "pairwise_test(expat_white_scores)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "So far so good, same results as before. The gender effect seems weaker. Let's double-check with a regression as before."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>     <td>assim_score_log</td> <th>  R-squared:         </th> <td>   0.276</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.273</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   84.00</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Wed, 04 Jul 2018</td> <th>  Prob (F-statistic):</th> <td>8.47e-190</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>12:19:19</td>     <th>  Log-Likelihood:    </th> <td> -2564.6</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>  2880</td>      <th>  AIC:               </th> <td>   5157.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>  2866</td>      <th>  BIC:               </th> <td>   5241.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>    13</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "                          <td></td>                            <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>                                        <td>    0.1762</td> <td>    0.041</td> <td>    4.275</td> <td> 0.000</td> <td>    0.095</td> <td>    0.257</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>genders_name[T.male]</th>                             <td>   -0.0922</td> <td>    0.022</td> <td>   -4.184</td> <td> 0.000</td> <td>   -0.135</td> <td>   -0.049</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.High school graduate]</th>           <td>   -0.0440</td> <td>    0.031</td> <td>   -1.413</td> <td> 0.158</td> <td>   -0.105</td> <td>    0.017</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Less than high school graduate]</th> <td>    0.3532</td> <td>    0.031</td> <td>   11.340</td> <td> 0.000</td> <td>    0.292</td> <td>    0.414</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>education_name[T.Two-year degree,Some college]</th>   <td>    0.2746</td> <td>    0.031</td> <td>    8.818</td> <td> 0.000</td> <td>    0.214</td> <td>    0.336</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.19_28]</th>                               <td>   -0.7611</td> <td>    0.035</td> <td>  -21.856</td> <td> 0.000</td> <td>   -0.829</td> <td>   -0.693</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.29_38]</th>                               <td>   -0.6281</td> <td>    0.035</td> <td>  -18.037</td> <td> 0.000</td> <td>   -0.696</td> <td>   -0.560</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.39_48]</th>                               <td>   -0.4348</td> <td>    0.035</td> <td>  -12.485</td> <td> 0.000</td> <td>   -0.503</td> <td>   -0.366</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>ages_name[T.49_65]</th>                               <td>   -0.2318</td> <td>    0.035</td> <td>   -6.656</td> <td> 0.000</td> <td>   -0.300</td> <td>   -0.163</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>language_name[T.English]</th>                         <td>    0.1231</td> <td>    0.027</td> <td>    4.564</td> <td> 0.000</td> <td>    0.070</td> <td>    0.176</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>language_name[T.Spanish]</th>                         <td>   -0.1817</td> <td>    0.027</td> <td>   -6.736</td> <td> 0.000</td> <td>   -0.235</td> <td>   -0.129</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.Northeast]</th>                         <td>   -0.1417</td> <td>    0.031</td> <td>   -4.551</td> <td> 0.000</td> <td>   -0.203</td> <td>   -0.081</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.South]</th>                             <td>   -0.2320</td> <td>    0.031</td> <td>   -7.449</td> <td> 0.000</td> <td>   -0.293</td> <td>   -0.171</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>region_name[T.West]</th>                              <td>   -0.2760</td> <td>    0.031</td> <td>   -8.861</td> <td> 0.000</td> <td>   -0.337</td> <td>   -0.215</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>622.571</td> <th>  Durbin-Watson:     </th> <td>   2.306</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>1884.096</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td>-1.101</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 6.294</td>  <th>  Cond. No.          </th> <td>    8.26</td>\n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:        assim_score_log   R-squared:                       0.276\n",
+       "Model:                            OLS   Adj. R-squared:                  0.273\n",
+       "Method:                 Least Squares   F-statistic:                     84.00\n",
+       "Date:                Wed, 04 Jul 2018   Prob (F-statistic):          8.47e-190\n",
+       "Time:                        12:19:19   Log-Likelihood:                -2564.6\n",
+       "No. Observations:                2880   AIC:                             5157.\n",
+       "Df Residuals:                    2866   BIC:                             5241.\n",
+       "Df Model:                          13                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "====================================================================================================================\n",
+       "                                                       coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "--------------------------------------------------------------------------------------------------------------------\n",
+       "Intercept                                            0.1762      0.041      4.275      0.000       0.095       0.257\n",
+       "genders_name[T.male]                                -0.0922      0.022     -4.184      0.000      -0.135      -0.049\n",
+       "education_name[T.High school graduate]              -0.0440      0.031     -1.413      0.158      -0.105       0.017\n",
+       "education_name[T.Less than high school graduate]     0.3532      0.031     11.340      0.000       0.292       0.414\n",
+       "education_name[T.Two-year degree,Some college]       0.2746      0.031      8.818      0.000       0.214       0.336\n",
+       "ages_name[T.19_28]                                  -0.7611      0.035    -21.856      0.000      -0.829      -0.693\n",
+       "ages_name[T.29_38]                                  -0.6281      0.035    -18.037      0.000      -0.696      -0.560\n",
+       "ages_name[T.39_48]                                  -0.4348      0.035    -12.485      0.000      -0.503      -0.366\n",
+       "ages_name[T.49_65]                                  -0.2318      0.035     -6.656      0.000      -0.300      -0.163\n",
+       "language_name[T.English]                             0.1231      0.027      4.564      0.000       0.070       0.176\n",
+       "language_name[T.Spanish]                            -0.1817      0.027     -6.736      0.000      -0.235      -0.129\n",
+       "region_name[T.Northeast]                            -0.1417      0.031     -4.551      0.000      -0.203      -0.081\n",
+       "region_name[T.South]                                -0.2320      0.031     -7.449      0.000      -0.293      -0.171\n",
+       "region_name[T.West]                                 -0.2760      0.031     -8.861      0.000      -0.337      -0.215\n",
+       "==============================================================================\n",
+       "Omnibus:                      622.571   Durbin-Watson:                   2.306\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1884.096\n",
+       "Skew:                          -1.101   Prob(JB):                         0.00\n",
+       "Kurtosis:                       6.294   Cond. No.                         8.26\n",
+       "==============================================================================\n",
+       "\n",
+       "Warnings:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "subpop_data_20 = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_all_combos_20_interests.tsv', sep='\\t', index_col=False)\n",
+    "# set region name\n",
+    "subpop_data_20.loc[:, 'geo_locations'] = subpop_data_20.loc[:, 'geo_locations'].apply(json.loads)\n",
+    "state_region_lookup = {\n",
+    "    '3862_3888_3872_3864_3875_3881_3882_3849_3873':'Northeast',\n",
+    "   '3878_3857_3865_3856_3892_3866_3858_3868_3859_3870_3884_3877':'Midwest',\n",
+    "   '3891_3889_3850_3863_3860_3876_3883_3851_3885_3853_3843_3867_3846_3861_3879_3886':'South',\n",
+    "    '3869_3893_3848_3874_3855_3887_3845_3890_3880_3871_3847_3844_3854':'West',\n",
+    "}\n",
+    "subpop_data_20.loc[:, 'region_name'] = subpop_data_20.loc[:, 'geo_locations'].apply(lambda x: state_region_lookup['_'.join([str(y['key']) for y in x['values']])] if len(x['values']) > 1 else 'All')\n",
+    "# normalize\n",
+    "subpop_data_20 = norm_demo_combo_data(subpop_data_20)\n",
+    "# restrict source/dest data to relevant interests\n",
+    "source_data_20 = source_data_orig[source_data_orig.loc[:, 'interest_name'].isin(subpop_data_20.loc[:, 'interest_name'].unique())]\n",
+    "dest_data_white_20 = dest_data_white_orig[dest_data_white_orig.loc[:, 'interest_name'].isin(subpop_data_20.loc[:, 'interest_name'].unique())]\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "# normalize to percent\n",
+    "source_data_20.loc[:, count_var_pct] = source_data_20.loc[:, count_var] / source_data_20.loc[:, count_var].sum()\n",
+    "dest_data_white_20.loc[:, count_var_pct] = dest_data_white_20.loc[:, count_var] / dest_data_white_20.loc[:, count_var].sum()\n",
+    "source_data_20_pct = source_data_20.loc[:, count_var_pct]\n",
+    "dest_data_20_pct = dest_data_white_20.loc[:, count_var_pct]\n",
+    "source_data_20_pct.index = source_data_20.loc[:, 'interest_name'].values\n",
+    "dest_data_20_pct.index = dest_data_white_20.loc[:, 'interest_name'].values\n",
+    "# compute assimilation\n",
+    "group_cols = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "subpop_data_20_scores = compute_all_expat_scores(source_data_20_pct, \n",
+    "                                                  dest_data_20_pct, \n",
+    "                                                  subpop_data_20,\n",
+    "                                                  top_dest_pct=0, \n",
+    "                                                  count_var_pct='mau_audience_pct',\n",
+    "                                                  group_cols=group_cols)\n",
+    "# compute log\n",
+    "subpop_data_20_scores.loc[:, 'assim_score_log'] = subpop_data_20_scores.loc[:, 'assim_score'].apply(np.log)\n",
+    "subpop_data_20_scores.loc[:, 'interest_name'] = subpop_data_20_scores.index\n",
+    "# regress\n",
+    "independent_vars = ['genders_name', 'education_name', 'ages_name', 'language_name', 'region_name']\n",
+    "formula = 'assim_score_log ~ %s'%('+'.join(independent_vars))\n",
+    "mod_20 = ols(formula=formula, data=subpop_data_20_scores)\n",
+    "res_20 = mod_20.fit()\n",
+    "res_20.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Same effects!\n",
+    "\n",
+    "- Male => less assimilation\n",
+    "- Less education => more assimilation\n",
+    "- Lower age => more assimilation (although negative effects decrease with higher age)\n",
+    "- English => more assimilation\n",
+    "- Midwest => more assimilation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Corrected reference categories"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Same thing but with the \"correct\" reference categories for education (`Less than high school`) and language (`English`)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<table class=\"simpletable\">\n",
+       "<caption>OLS Regression Results</caption>\n",
+       "<tr>\n",
+       "  <th>Dep. Variable:</th>     <td>assim_score_log</td> <th>  R-squared:         </th> <td>   0.276</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Model:</th>                   <td>OLS</td>       <th>  Adj. R-squared:    </th> <td>   0.273</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Method:</th>             <td>Least Squares</td>  <th>  F-statistic:       </th> <td>   84.00</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Date:</th>             <td>Wed, 04 Jul 2018</td> <th>  Prob (F-statistic):</th> <td>8.47e-190</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Time:</th>                 <td>12:19:20</td>     <th>  Log-Likelihood:    </th> <td> -2564.6</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>No. Observations:</th>      <td>  2880</td>      <th>  AIC:               </th> <td>   5157.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Residuals:</th>          <td>  2866</td>      <th>  BIC:               </th> <td>   5241.</td> \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Df Model:</th>              <td>    13</td>      <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Covariance Type:</th>      <td>nonrobust</td>    <th>                     </th>     <td> </td>    \n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "                  <td></td>                     <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Intercept</th>                         <td>    0.6525</td> <td>    0.041</td> <td>   15.835</td> <td> 0.000</td> <td>    0.572</td> <td>    0.733</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"genders_name\")[T.male]</th>         <td>   -0.0922</td> <td>    0.022</td> <td>   -4.184</td> <td> 0.000</td> <td>   -0.135</td> <td>   -0.049</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"region_name\")[T.Northeast]</th>     <td>   -0.1417</td> <td>    0.031</td> <td>   -4.551</td> <td> 0.000</td> <td>   -0.203</td> <td>   -0.081</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"region_name\")[T.South]</th>         <td>   -0.2320</td> <td>    0.031</td> <td>   -7.449</td> <td> 0.000</td> <td>   -0.293</td> <td>   -0.171</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"region_name\")[T.West]</th>          <td>   -0.2760</td> <td>    0.031</td> <td>   -8.861</td> <td> 0.000</td> <td>   -0.337</td> <td>   -0.215</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"ages_name\")[T.19_28]</th>           <td>   -0.7611</td> <td>    0.035</td> <td>  -21.856</td> <td> 0.000</td> <td>   -0.829</td> <td>   -0.693</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"ages_name\")[T.29_38]</th>           <td>   -0.6281</td> <td>    0.035</td> <td>  -18.037</td> <td> 0.000</td> <td>   -0.696</td> <td>   -0.560</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"ages_name\")[T.39_48]</th>           <td>   -0.4348</td> <td>    0.035</td> <td>  -12.485</td> <td> 0.000</td> <td>   -0.503</td> <td>   -0.366</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"ages_name\")[T.49_65]</th>           <td>   -0.2318</td> <td>    0.035</td> <td>   -6.656</td> <td> 0.000</td> <td>   -0.300</td> <td>   -0.163</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"Bachelor's degree or more\")</th>    <td>   -0.3532</td> <td>    0.031</td> <td>  -11.340</td> <td> 0.000</td> <td>   -0.414</td> <td>   -0.292</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"High school graduate\")</th>         <td>   -0.3972</td> <td>    0.031</td> <td>  -12.752</td> <td> 0.000</td> <td>   -0.458</td> <td>   -0.336</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"Two-year degree,Some college\")</th> <td>   -0.0786</td> <td>    0.031</td> <td>   -2.522</td> <td> 0.012</td> <td>   -0.140</td> <td>   -0.017</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"Bilingual\")</th>                    <td>   -0.1231</td> <td>    0.027</td> <td>   -4.564</td> <td> 0.000</td> <td>   -0.176</td> <td>   -0.070</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Q(\"Spanish\")</th>                      <td>   -0.3048</td> <td>    0.027</td> <td>  -11.300</td> <td> 0.000</td> <td>   -0.358</td> <td>   -0.252</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "<table class=\"simpletable\">\n",
+       "<tr>\n",
+       "  <th>Omnibus:</th>       <td>622.571</td> <th>  Durbin-Watson:     </th> <td>   2.306</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Prob(Omnibus):</th> <td> 0.000</td>  <th>  Jarque-Bera (JB):  </th> <td>1884.096</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Skew:</th>          <td>-1.101</td>  <th>  Prob(JB):          </th> <td>    0.00</td>\n",
+       "</tr>\n",
+       "<tr>\n",
+       "  <th>Kurtosis:</th>      <td> 6.294</td>  <th>  Cond. No.          </th> <td>    8.26</td>\n",
+       "</tr>\n",
+       "</table>"
+      ],
+      "text/plain": [
+       "<class 'statsmodels.iolib.summary.Summary'>\n",
+       "\"\"\"\n",
+       "                            OLS Regression Results                            \n",
+       "==============================================================================\n",
+       "Dep. Variable:        assim_score_log   R-squared:                       0.276\n",
+       "Model:                            OLS   Adj. R-squared:                  0.273\n",
+       "Method:                 Least Squares   F-statistic:                     84.00\n",
+       "Date:                Wed, 04 Jul 2018   Prob (F-statistic):          8.47e-190\n",
+       "Time:                        12:19:20   Log-Likelihood:                -2564.6\n",
+       "No. Observations:                2880   AIC:                             5157.\n",
+       "Df Residuals:                    2866   BIC:                             5241.\n",
+       "Df Model:                          13                                         \n",
+       "Covariance Type:            nonrobust                                         \n",
+       "=====================================================================================================\n",
+       "                                        coef    std err          t      P>|t|      [0.025      0.975]\n",
+       "-----------------------------------------------------------------------------------------------------\n",
+       "Intercept                             0.6525      0.041     15.835      0.000       0.572       0.733\n",
+       "Q(\"genders_name\")[T.male]            -0.0922      0.022     -4.184      0.000      -0.135      -0.049\n",
+       "Q(\"region_name\")[T.Northeast]        -0.1417      0.031     -4.551      0.000      -0.203      -0.081\n",
+       "Q(\"region_name\")[T.South]            -0.2320      0.031     -7.449      0.000      -0.293      -0.171\n",
+       "Q(\"region_name\")[T.West]             -0.2760      0.031     -8.861      0.000      -0.337      -0.215\n",
+       "Q(\"ages_name\")[T.19_28]              -0.7611      0.035    -21.856      0.000      -0.829      -0.693\n",
+       "Q(\"ages_name\")[T.29_38]              -0.6281      0.035    -18.037      0.000      -0.696      -0.560\n",
+       "Q(\"ages_name\")[T.39_48]              -0.4348      0.035    -12.485      0.000      -0.503      -0.366\n",
+       "Q(\"ages_name\")[T.49_65]              -0.2318      0.035     -6.656      0.000      -0.300      -0.163\n",
+       "Q(\"Bachelor's degree or more\")       -0.3532      0.031    -11.340      0.000      -0.414      -0.292\n",
+       "Q(\"High school graduate\")            -0.3972      0.031    -12.752      0.000      -0.458      -0.336\n",
+       "Q(\"Two-year degree,Some college\")    -0.0786      0.031     -2.522      0.012      -0.140      -0.017\n",
+       "Q(\"Bilingual\")                       -0.1231      0.027     -4.564      0.000      -0.176      -0.070\n",
+       "Q(\"Spanish\")                         -0.3048      0.027    -11.300      0.000      -0.358      -0.252\n",
+       "==============================================================================\n",
+       "Omnibus:                      622.571   Durbin-Watson:                   2.306\n",
+       "Prob(Omnibus):                  0.000   Jarque-Bera (JB):             1884.096\n",
+       "Skew:                          -1.101   Prob(JB):                         0.00\n",
+       "Kurtosis:                       6.294   Cond. No.                         8.26\n",
+       "==============================================================================\n",
+       "\n",
+       "Warnings:\n",
+       "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
+       "\"\"\""
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from sklearn.preprocessing import OneHotEncoder\n",
+    "dummy_vars = ['education_name', 'language_name']\n",
+    "dummy_var_refs = ['Less than high school graduate', 'English']\n",
+    "subpop_data_20_scores_fixed = subpop_data_20_scores.copy()\n",
+    "dummy_cols = []\n",
+    "for v, v_ref in zip(dummy_vars, dummy_var_refs):\n",
+    "    encoder = OneHotEncoder()\n",
+    "    v_cat, v_idx = pd.factorize(subpop_data_20_scores.loc[:, v])\n",
+    "    v_cat = v_cat.reshape(-1,1)\n",
+    "    v_transform = pd.DataFrame(encoder.fit_transform(v_cat).toarray(),\n",
+    "                               index=subpop_data_20_scores.index,\n",
+    "                               columns=v_idx).astype(int)\n",
+    "    # remove ref var\n",
+    "    v_transform.drop(v_ref, axis=1, inplace=True)\n",
+    "#     print(v_transform.head())\n",
+    "    subpop_data_20_scores_fixed = pd.concat([subpop_data_20_scores_fixed, v_transform], axis=1)\n",
+    "    dummy_cols += v_transform.columns.tolist()\n",
+    "independent_vars = ['genders_name', 'region_name', 'ages_name'] + dummy_cols\n",
+    "formula = 'assim_score_log ~ %s'%('+'.join(map(lambda x: 'Q(\"%s\")'%(x), independent_vars)))\n",
+    "mod_20 = ols(formula=formula, data=subpop_data_20_scores_fixed)\n",
+    "res_20 = mod_20.fit()\n",
+    "res_20.summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Per-state comparisons\n",
+    "Let's get a more fine-grained picture of what assimilation means by treating each state as a separate destination and computing assimilation at the per-state level. E.g. Texas might have more country music, West might have more hip-hop, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\pandas\\core\\indexing.py:476: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  self.obj[item] = s\n",
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\pandas\\core\\indexing.py:296: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  self.obj[key] = _infer_fill_value(value)\n"
+     ]
+    }
+   ],
+   "source": [
+    "dest_data = pd.read_csv('../../data/query_results/US_native_white_music.tsv', sep='\\t', index_col=False)\n",
+    "source_data = pd.read_csv('../../data/query_results/MX_native_music.tsv', sep='\\t', index_col=False)\n",
+    "mx_1_data = pd.read_csv('../../data/query_results/Hispanic_MX_music.tsv', sep='\\t', index_col=False)\n",
+    "mx_1_data.loc[:, 'interest_name'] = mx_1_data.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "shared_interests = mx_1_data.loc[:, 'interest_name'].unique()\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "dest_data = clean_pop_data(dest_data, shared_interests=shared_interests, count_var=count_var)\n",
+    "source_data = clean_pop_data(source_data, shared_interests=shared_interests, count_var=count_var)\n",
+    "source_pct = source_data.loc[:, count_var_pct]\n",
+    "source_pct.index = source_data.loc[:, 'interest_name']\n",
+    "dest_pct = dest_data.loc[:, count_var_pct]\n",
+    "dest_pct.index = dest_data.loc[:, 'interest_name']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>mau_audience</th>\n",
+       "      <th>mau_audience_pct</th>\n",
+       "      <th>genders_name</th>\n",
+       "      <th>language_name</th>\n",
+       "      <th>ages_name</th>\n",
+       "      <th>region_name</th>\n",
+       "      <th>education_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>970000</td>\n",
+       "      <td>0.110695</td>\n",
+       "      <td>both</td>\n",
+       "      <td>All</td>\n",
+       "      <td>13_65</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>All</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>51</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Arts and music</td>\n",
+       "      <td>820000</td>\n",
+       "      <td>0.093577</td>\n",
+       "      <td>both</td>\n",
+       "      <td>All</td>\n",
+       "      <td>13_65</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>All</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>102</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Rock music</td>\n",
+       "      <td>480000</td>\n",
+       "      <td>0.054777</td>\n",
+       "      <td>both</td>\n",
+       "      <td>All</td>\n",
+       "      <td>13_65</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>All</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>153</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Pop music</td>\n",
+       "      <td>350000</td>\n",
+       "      <td>0.039942</td>\n",
+       "      <td>both</td>\n",
+       "      <td>All</td>\n",
+       "      <td>13_65</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>All</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Hip hop music</td>\n",
+       "      <td>240000</td>\n",
+       "      <td>0.027389</td>\n",
+       "      <td>both</td>\n",
+       "      <td>All</td>\n",
+       "      <td>13_65</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>All</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                name   interest_name  mau_audience  \\\n",
+       "0    white_all_state_music_interests           Music        970000   \n",
+       "51   white_all_state_music_interests  Arts and music        820000   \n",
+       "102  white_all_state_music_interests      Rock music        480000   \n",
+       "153  white_all_state_music_interests       Pop music        350000   \n",
+       "204  white_all_state_music_interests   Hip hop music        240000   \n",
+       "\n",
+       "     mau_audience_pct genders_name language_name ages_name region_name  \\\n",
+       "0            0.110695         both           All     13_65     Alabama   \n",
+       "51           0.093577         both           All     13_65     Alabama   \n",
+       "102          0.054777         both           All     13_65     Alabama   \n",
+       "153          0.039942         both           All     13_65     Alabama   \n",
+       "204          0.027389         both           All     13_65     Alabama   \n",
+       "\n",
+       "    education_name  \n",
+       "0              All  \n",
+       "51             All  \n",
+       "102            All  \n",
+       "153            All  \n",
+       "204            All  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# state_data = pd.read_csv('../../data/query_results/all_state_music.tsv',\n",
+    "#                          sep='\\t', index_col=False)\n",
+    "state_data = pd.read_csv('../../data/query_results/white_all_state_music_interests.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "spec_data = pd.read_csv('../../data/spec_data.tsv', sep='\\t', index_col=False)\n",
+    "spec_data.fillna(0, inplace=True)\n",
+    "key_name_lookup = dict(zip(spec_data.loc[:, 'key'].astype(int).astype(str).values,\n",
+    "                           spec_data.loc[:, 'name']))\n",
+    "# label states as region\n",
+    "state_data.fillna('', inplace=True)\n",
+    "state_data.loc[:, 'behavior'] = [json.dumps({'name':''}),]*state_data.shape[0]\n",
+    "state_data.loc[:, 'region_name'] = state_data.loc[:, 'geo_locations'].apply(lambda x: json.loads(x)['values'][0]['key'])\n",
+    "state_data = norm_demo_combo_data(state_data)\n",
+    "state_data.replace('', 'All', inplace=True)\n",
+    "# map region key => state\n",
+    "state_data.loc[:, 'region_name'] = state_data.loc[:, 'region_name'].apply(key_name_lookup.get)\n",
+    "state_data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "51 regions\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('%d regions'%(state_data.loc[:, 'region_name'].nunique()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "U:\\miniconda\\miniconda2\\envs\\assimilation_py27\\lib\\site-packages\\ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  \n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x5de15f8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# top-k interests per state\n",
+    "N = state_data.loc[:, 'region_name'].nunique()\n",
+    "ncols = 3\n",
+    "nrows = int(N / ncols)+1\n",
+    "f, axs = plt.subplots(nrows=nrows, ncols=ncols, figsize=(ncols*4, nrows*5))\n",
+    "top_k = 8\n",
+    "Y = np.arange(top_k)+1\n",
+    "count_var_pct = 'mau_audience_pct'\n",
+    "bar_width = 0.5\n",
+    "for i, (s_name, s_data) in enumerate(state_data.groupby('region_name')):\n",
+    "    row = int(i / ncols)\n",
+    "    col = i % ncols\n",
+    "    ax = axs[row, col]\n",
+    "    s_data.sort_values(count_var_pct, inplace=True, ascending=False)\n",
+    "    s_top_k = s_data.loc[:, count_var_pct].iloc[:top_k]\n",
+    "    ax.barh(Y, s_top_k, height=bar_width)\n",
+    "    ax.set_yticks(Y)\n",
+    "    ax.set_yticklabels(s_data.loc[:, 'interest_name'].iloc[:top_k], fontsize=10)\n",
+    "    ax.set_title(s_name, fontsize=18)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Interesting patterns:\n",
+    "\n",
+    "- More rural => country, blues\n",
+    "- More urban => hip-hop, alternative rock"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Once we've collected Hispanic MX expat per-state interests, compute assimilation per state and plot mean assimilation score per state (heatmap on geographic map?? yes please)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name_dest</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>mau_audience_pct_dest</th>\n",
+       "      <th>region_name</th>\n",
+       "      <th>name_expat</th>\n",
+       "      <th>mau_audience_pct_expat</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>interest_name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Music</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Music</td>\n",
+       "      <td>0.110695</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>hispanic_MX_all_state_music_interests</td>\n",
+       "      <td>0.093674</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Arts and music</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Arts and music</td>\n",
+       "      <td>0.093577</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>hispanic_MX_all_state_music_interests</td>\n",
+       "      <td>0.081184</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Rock music</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Rock music</td>\n",
+       "      <td>0.054777</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>hispanic_MX_all_state_music_interests</td>\n",
+       "      <td>0.041217</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Pop music</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Pop music</td>\n",
+       "      <td>0.039942</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>hispanic_MX_all_state_music_interests</td>\n",
+       "      <td>0.042465</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Hip hop music</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Hip hop music</td>\n",
+       "      <td>0.027389</td>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>hispanic_MX_all_state_music_interests</td>\n",
+       "      <td>0.034972</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                      name_dest   interest_name  \\\n",
+       "interest_name                                                     \n",
+       "Music           white_all_state_music_interests           Music   \n",
+       "Arts and music  white_all_state_music_interests  Arts and music   \n",
+       "Rock music      white_all_state_music_interests      Rock music   \n",
+       "Pop music       white_all_state_music_interests       Pop music   \n",
+       "Hip hop music   white_all_state_music_interests   Hip hop music   \n",
+       "\n",
+       "                mau_audience_pct_dest region_name  \\\n",
+       "interest_name                                       \n",
+       "Music                        0.110695     Alabama   \n",
+       "Arts and music               0.093577     Alabama   \n",
+       "Rock music                   0.054777     Alabama   \n",
+       "Pop music                    0.039942     Alabama   \n",
+       "Hip hop music                0.027389     Alabama   \n",
+       "\n",
+       "                                           name_expat  mau_audience_pct_expat  \n",
+       "interest_name                                                                  \n",
+       "Music           hispanic_MX_all_state_music_interests                0.093674  \n",
+       "Arts and music  hispanic_MX_all_state_music_interests                0.081184  \n",
+       "Rock music      hispanic_MX_all_state_music_interests                0.041217  \n",
+       "Pop music       hispanic_MX_all_state_music_interests                0.042465  \n",
+       "Hip hop music   hispanic_MX_all_state_music_interests                0.034972  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mx_1_data_states = pd.read_csv('../../data/query_results/hispanic_MX_all_state_music_interests.tsv',\n",
+    "                                sep='\\t', index_col=False)\n",
+    "# label states as region\n",
+    "mx_1_data_states.fillna('', inplace=True)\n",
+    "mx_1_data_states.loc[:, 'behavior'] = [json.dumps({'name':''}),]*mx_1_data_states.shape[0]\n",
+    "mx_1_data_states.loc[:, 'region_name'] = mx_1_data_states.loc[:, 'geo_locations'].apply(lambda x: json.loads(x)['values'][0]['key'])\n",
+    "mx_1_data_states = norm_demo_combo_data(mx_1_data_states, include_demo_val=False)\n",
+    "mx_1_data_states.replace('', 'All', inplace=True)\n",
+    "# map region key => state\n",
+    "mx_1_data_states.loc[:, 'region_name'] = mx_1_data_states.loc[:, 'region_name'].apply(key_name_lookup.get)\n",
+    "# mx_1_data_states.head()\n",
+    "# compute assimilation\n",
+    "# combine source/expat for easier\n",
+    "state_data_cols = ['name', 'interest_name', 'mau_audience_pct', 'region_name']\n",
+    "state_data_combined = pd.merge(state_data.loc[:, state_data_cols], \n",
+    "                               mx_1_data_states.loc[:, state_data_cols], \n",
+    "                               on=['interest_name', 'region_name'])\n",
+    "state_data_combined.rename(columns={\n",
+    "    'name_x' : 'name_dest',\n",
+    "    'mau_audience_pct_x':'mau_audience_pct_dest',\n",
+    "    'region_name_x':'region_name_dest',\n",
+    "    'name_y' : 'name_expat',\n",
+    "    'mau_audience_pct_y':'mau_audience_pct_expat',\n",
+    "    'region_name_y':'region_name_expat'\n",
+    "}, inplace=True)\n",
+    "state_data_combined.index = state_data_combined.loc[:, 'interest_name']\n",
+    "state_data_combined.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# renormalize source data to match state data\n",
+    "source_pct_100 = source_pct.loc[state_data_combined.loc[:, 'interest_name'].unique()]\n",
+    "source_pct_100 = source_pct_100 / source_pct_100.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>region_name</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>assim_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>Country music</td>\n",
+       "      <td>0.413760</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>American folk music</td>\n",
+       "      <td>0.428267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>Appalachian music</td>\n",
+       "      <td>0.404475</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>Beat (music)</td>\n",
+       "      <td>0.596979</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>Progressive rock</td>\n",
+       "      <td>0.895468</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "  region_name        interest_name  assim_score\n",
+       "0     Alabama        Country music     0.413760\n",
+       "1     Alabama  American folk music     0.428267\n",
+       "2     Alabama    Appalachian music     0.404475\n",
+       "3     Alabama         Beat (music)     0.596979\n",
+       "4     Alabama     Progressive rock     0.895468"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "top_dest_pct = 50\n",
+    "state_assim_scores = state_data_combined.groupby('region_name').apply(\n",
+    "    lambda x: compute_assimilation(source_pct_100, \n",
+    "                                   x.loc[:, 'mau_audience_pct_dest'],\n",
+    "                                   x.loc[:, 'mau_audience_pct_expat'],\n",
+    "                                   TOP_DEST_PCT=top_dest_pct,\n",
+    "                                   score_type='/',\n",
+    "                                  ))\n",
+    "# reshape to have proper columns, etc.\n",
+    "state_assim_scores = pd.DataFrame(state_assim_scores)\n",
+    "state_assim_scores.reset_index(inplace=True)\n",
+    "state_assim_scores.rename(columns={0:'assim_score'},inplace=True)\n",
+    "state_assim_scores.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>name_dest</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>mau_audience_pct_dest</th>\n",
+       "      <th>region_name</th>\n",
+       "      <th>name_expat</th>\n",
+       "      <th>mau_audience_pct_expat</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>interest_name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Free jazz</th>\n",
+       "      <td>white_all_state_music_interests</td>\n",
+       "      <td>Free jazz</td>\n",
+       "      <td>0.00514</td>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>hispanic_MX_all_state_music_interests</td>\n",
+       "      <td>0.007375</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                     name_dest interest_name  \\\n",
+       "interest_name                                                  \n",
+       "Free jazz      white_all_state_music_interests     Free jazz   \n",
+       "\n",
+       "               mau_audience_pct_dest region_name  \\\n",
+       "interest_name                                      \n",
+       "Free jazz                    0.00514     Vermont   \n",
+       "\n",
+       "                                          name_expat  mau_audience_pct_expat  \n",
+       "interest_name                                                                 \n",
+       "Free jazz      hispanic_MX_all_state_music_interests                0.007375  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>region_name</th>\n",
+       "      <th>interest_name</th>\n",
+       "      <th>assim_score</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1089</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Country music</td>\n",
+       "      <td>0.426521</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1090</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>American folk music</td>\n",
+       "      <td>0.466265</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1091</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Appalachian music</td>\n",
+       "      <td>0.506351</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1092</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Hard rock</td>\n",
+       "      <td>0.666092</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1093</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Beat (music)</td>\n",
+       "      <td>0.623766</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1094</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Progressive rock</td>\n",
+       "      <td>0.782542</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1095</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Sampling (music)</td>\n",
+       "      <td>0.956441</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1096</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Swing music</td>\n",
+       "      <td>1.304237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1097</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Folk rock</td>\n",
+       "      <td>0.755085</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1098</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Bluegrass music</td>\n",
+       "      <td>0.896663</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1099</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Free jazz</td>\n",
+       "      <td>1.434661</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1100</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Grunge</td>\n",
+       "      <td>1.304237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1101</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Alternative metal</td>\n",
+       "      <td>1.304237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1102</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Drone music</td>\n",
+       "      <td>1.938731</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1103</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Hook (music)</td>\n",
+       "      <td>2.431628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1104</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Southern soul</td>\n",
+       "      <td>2.758963</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1105</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Western swing</td>\n",
+       "      <td>2.313969</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1106</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Tonic (music)</td>\n",
+       "      <td>1.912881</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1107</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Alternative country</td>\n",
+       "      <td>2.391101</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1108</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Adult contemporary music</td>\n",
+       "      <td>4.627938</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1109</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Organ (music)</td>\n",
+       "      <td>3.336420</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1110</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Roots rock</td>\n",
+       "      <td>1.195551</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1111</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>1990s in music</td>\n",
+       "      <td>3.985169</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1112</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>Christian rock</td>\n",
+       "      <td>5.977753</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1113</th>\n",
+       "      <td>Vermont</td>\n",
+       "      <td>1970s in music</td>\n",
+       "      <td>4.347457</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     region_name             interest_name  assim_score\n",
+       "1089     Vermont             Country music     0.426521\n",
+       "1090     Vermont       American folk music     0.466265\n",
+       "1091     Vermont         Appalachian music     0.506351\n",
+       "1092     Vermont                 Hard rock     0.666092\n",
+       "1093     Vermont              Beat (music)     0.623766\n",
+       "1094     Vermont          Progressive rock     0.782542\n",
+       "1095     Vermont          Sampling (music)     0.956441\n",
+       "1096     Vermont               Swing music     1.304237\n",
+       "1097     Vermont                 Folk rock     0.755085\n",
+       "1098     Vermont           Bluegrass music     0.896663\n",
+       "1099     Vermont                 Free jazz     1.434661\n",
+       "1100     Vermont                    Grunge     1.304237\n",
+       "1101     Vermont         Alternative metal     1.304237\n",
+       "1102     Vermont               Drone music     1.938731\n",
+       "1103     Vermont              Hook (music)     2.431628\n",
+       "1104     Vermont             Southern soul     2.758963\n",
+       "1105     Vermont             Western swing     2.313969\n",
+       "1106     Vermont             Tonic (music)     1.912881\n",
+       "1107     Vermont       Alternative country     2.391101\n",
+       "1108     Vermont  Adult contemporary music     4.627938\n",
+       "1109     Vermont             Organ (music)     3.336420\n",
+       "1110     Vermont                Roots rock     1.195551\n",
+       "1111     Vermont            1990s in music     3.985169\n",
+       "1112     Vermont            Christian rock     5.977753\n",
+       "1113     Vermont            1970s in music     4.347457"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(state_data_combined[(state_data_combined.loc[:, 'interest_name']=='Free jazz') &\n",
+    "                            (state_data_combined.loc[:, 'region_name']=='Vermont')])\n",
+    "display(state_assim_scores[state_assim_scores.loc[:, 'region_name']=='Vermont'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "region_name\n",
+       "Vermont                             1.304237\n",
+       "Montana                             1.236852\n",
+       "West Virginia                       1.153937\n",
+       "South Dakota                        1.134675\n",
+       "Maine                               1.099940\n",
+       "Hawaii                              1.060647\n",
+       "North Dakota                        1.057146\n",
+       "Alaska                              1.053187\n",
+       "Wyoming                             0.934820\n",
+       "New Mexico                          0.859687\n",
+       "New Hampshire                       0.841095\n",
+       "Ohio                                0.822519\n",
+       "Kentucky                            0.812933\n",
+       "Missouri                            0.771347\n",
+       "Michigan                            0.763088\n",
+       "Utah                                0.759236\n",
+       "Iowa                                0.747758\n",
+       "Delaware                            0.746755\n",
+       "Idaho                               0.746569\n",
+       "Indiana                             0.730965\n",
+       "Oregon                              0.723936\n",
+       "Mississippi                         0.717916\n",
+       "Minnesota                           0.715482\n",
+       "Washington, District of Columbia    0.710844\n",
+       "Arizona                             0.707569\n",
+       "Kansas                              0.690432\n",
+       "Oklahoma                            0.690358\n",
+       "Louisiana                           0.689838\n",
+       "Nebraska                            0.673282\n",
+       "Wisconsin                           0.667366\n",
+       "Tennessee                           0.665932\n",
+       "Washington                          0.661358\n",
+       "Pennsylvania                        0.657617\n",
+       "Colorado                            0.656422\n",
+       "Alabama                             0.632355\n",
+       "Texas                               0.631331\n",
+       "South Carolina                      0.626119\n",
+       "Arkansas                            0.612206\n",
+       "Nevada                              0.608425\n",
+       "Massachusetts                       0.603471\n",
+       "Rhode Island                        0.589630\n",
+       "California                          0.586881\n",
+       "Georgia                             0.575830\n",
+       "Florida                             0.571891\n",
+       "Illinois                            0.564304\n",
+       "North Carolina                      0.551120\n",
+       "Connecticut                         0.548272\n",
+       "Virginia                            0.539181\n",
+       "New York                            0.525445\n",
+       "Maryland                            0.514513\n",
+       "New Jersey                          0.503746\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "state_assim_scores_mean = state_assim_scores.groupby('region_name').apply(lambda x: np.mean(x.loc[:, 'assim_score']))\n",
+    "state_assim_scores_median = state_assim_scores.groupby('region_name').apply(lambda x: np.median(x.loc[:, 'assim_score']))\n",
+    "# apply log for non-normal dist\n",
+    "# state_assim_scores_mean = state_assim_scores.groupby('region_name').apply(lambda x: pd.np.mean(pd.np.log(x.loc[:, 'assim_score'])))\n",
+    "state_assim_scores_median.sort_values(inplace=True, ascending=False)\n",
+    "state_assim_scores_median"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "More rural states are \"over-assimilated\" while more Southern states are \"under-assimilated\" (not enough country love?).\n",
+    "\n",
+    "Let's see what the map looks like!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# adapted/stolen from https://github.com/matplotlib/basemap/blob/master/examples/fillstates.py\n",
+    "from mpl_toolkits.basemap import Basemap\n",
+    "from matplotlib.colors import rgb2hex, Normalize\n",
+    "from matplotlib.patches import Polygon\n",
+    "from matplotlib.colorbar import ColorbarBase\n",
+    "def plot_state_scores(scores, pop_name='Hispanic MX Expats', \n",
+    "                      state_border_file='../../data/geo_files/st99_d00',\n",
+    "                      v_range=None, cmap=plt.cm.hot_r):\n",
+    "    fig, ax = plt.subplots()\n",
+    "    # Lambert Conformal map of lower 48 states.\n",
+    "    m1 = Basemap(llcrnrlon=-119,llcrnrlat=20,urcrnrlon=-64,urcrnrlat=49,\n",
+    "                projection='lcc',lat_1=33,lat_2=45,lon_0=-95)\n",
+    "    # Mercator projection, for Alaska and Hawaii\n",
+    "    m2 = Basemap(llcrnrlon=-190,llcrnrlat=20,urcrnrlon=-143,urcrnrlat=46,\n",
+    "                projection='merc',lat_ts=20)  # do not change these numbers\n",
+    "    # state borders\n",
+    "    shp_info1 = m1.readshapefile(state_border_file,\n",
+    "                               'states', drawbounds=True,\n",
+    "                              linewidth=0.45, color='gray')\n",
+    "    # state colors\n",
+    "    shp_info2 = m2.readshapefile(state_border_file,\n",
+    "                               'states', drawbounds=False)\n",
+    "    # assign color based on assim score\n",
+    "    skip_states = ['District of Columbia', 'Puerto Rico']\n",
+    "    if(v_range is None):\n",
+    "        vmin, vmax = (scores.min(), scores.max())\n",
+    "    else:\n",
+    "        vmin, vmax = v_range\n",
+    "    norm = Normalize(vmin=vmin, vmax=vmax) \n",
+    "    valid_state_names = [shapedict['NAME'] for shapedict in m1.states_info if shapedict['NAME'] not in skip_states]\n",
+    "    colors = scores.loc[list(set(valid_state_names))].apply(lambda x: cmap(pd.np.sqrt((x - vmin)/(vmax - vmin)))[:3])\n",
+    "    # add colored states to map\n",
+    "    for shapedict, seg in izip(m1.states_info, m1.states):\n",
+    "        state_name = shapedict['NAME']\n",
+    "        if(state_name not in skip_states):\n",
+    "            color = rgb2hex(colors.loc[state_name])\n",
+    "            poly = Polygon(seg,facecolor=color,edgecolor=color)\n",
+    "            ax.add_patch(poly)\n",
+    "    # add Alaska, Hawaii insets\n",
+    "    AREA_1 = 0.005  # exclude small Hawaiian islands that are smaller than AREA_1\n",
+    "    AREA_2 = AREA_1 * 30.0  # exclude Alaskan islands that are smaller than AREA_2\n",
+    "    AK_SCALE = 0.19  # scale down Alaska to show as a map inset\n",
+    "    HI_OFFSET_X = -1900000  # X coordinate offset amount to move Hawaii \"beneath\" Texas\n",
+    "    HI_OFFSET_Y = 250000    # similar to above: Y offset for Hawaii\n",
+    "    AK_OFFSET_X = -250000   # X offset for Alaska (These four values are obtained\n",
+    "    AK_OFFSET_Y = -750000   # via manual trial and error, thus changing them is not recommended.)\n",
+    "    extra_states = ['Alaska', 'Hawaii']\n",
+    "    for shapedict, seg in izip(m2.states_info, m2.states):\n",
+    "        state_name = shapedict['NAME']\n",
+    "        if(state_name in extra_states):\n",
+    "            if(state_name == 'Hawaii' and float(shapedict['AREA']) > AREA_1):\n",
+    "                seg = [(x + HI_OFFSET_X, y + HI_OFFSET_Y) for x, y in seg]\n",
+    "                color = rgb2hex(colors.loc[state_name])\n",
+    "            elif state_name == 'Alaska' and float(shapedict['AREA']) > AREA_2:\n",
+    "                seg = [(x*AK_SCALE + AK_OFFSET_X, y*AK_SCALE + AK_OFFSET_Y)\n",
+    "                       for x, y in seg]\n",
+    "                color = rgb2hex(colors.loc[state_name])\n",
+    "            poly = Polygon(seg, facecolor=color, edgecolor='gray', linewidth=.45)\n",
+    "            ax.add_patch(poly)\n",
+    "    ax.set_title('Assimilation score by state (%s)'%(pop_name))\n",
+    "    # add bounding boxes\n",
+    "    light_gray = [0.8]*3  # define light gray color RGB\n",
+    "    x1,y1 = m2([-190,-183,-180,-180,-175,-171,-171],[29,29,26,26,26,22,20])\n",
+    "    x2,y2 = m2([-180,-180,-177],[26,23,20])  # these numbers are fine-tuned manually\n",
+    "    m2.plot(x1,y1,color=light_gray,linewidth=0.8)  # do not change them drastically\n",
+    "    m2.plot(x2,y2,color=light_gray,linewidth=0.8)\n",
+    "    # color bar\n",
+    "    ax_c = fig.add_axes([0.9, 0.1, 0.03, 0.8])\n",
+    "    cb = ColorbarBase(ax_c,cmap=cmap,norm=norm,orientation='vertical',\n",
+    "                      label=r'Assimilation ratio')\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x5e17240>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x5e17198>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# updated native white scores\n",
+    "plot_state_scores(state_assim_scores_mean, pop_name='Hispanic MX Expats')\n",
+    "# same thing but median\n",
+    "plot_state_scores(state_assim_scores_median, pop_name='Hispanic MX Expats')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- Midwest is the \"best\" assimilated, likely driven by states like Montana, North/South Dakota.\n",
+    "- Weird spikes in Northeast (Vermont, Maine).\n",
+    "- South has lowest assimilation, possibly because country music is strongly dispreferred."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's compare this map with a \"generic\" map in which the reference population is the same regardless of the state."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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wNKSUt/VzvAa4LMaX7ZURqTS6OttwGTQX42RrG0tHr2Df7jqq13zMnJkTsNjTKFz0MF9ou4KXdy7m+glvoIj+xy/spk6mZmhT+0spqG3LZdvKnQSDP8dsz2R00Qwyx16BSJoBva6vpKOjo9M7ekT4MFA840bWvHOU3CRtjRSL0U9p9lamZyrsP17NwYYikjdfy9GmSVgMXvbWT2FSxsF+cj0fISS5SSfJTdJWNPWHzFQe28eRvR+DlDiS8xgzfh4pBZeBrVgzW3R0dHT6IB4R4SONEak0DCnzMBu6LtyvqEzN2MmU9J18dOwyTnelokoDafamIV/TbPAzPnU/41P3A+DxO6koO8Dera+CMOJKzWf0uDkkZywCd4muRHR0dC4gHsF9I40RqTTw19LXrRcC5uRuZWP1AgCaugY6GXH/OM2es11ZAC3eFN5/uxN76H1cJj/utGzyx88kefRClOyZCOXz3r7Q0dGJBr17ahjoatiGxejrM83bh6/FauyiOPUQ1014J+4ypVhbCAUNXOV8F6Oi0t6WxIktu3jtkzKSPzmELSOP0SUlFCxaRNLcuSh2fWBdR+dvDX1q9GHC7MzFG+o7puLvpj3NT9b8G9Oz92NU4rqksEYQpCowKlp0fpKhnRLDbnbKKYz7ZB1Bs5manTs59OmnqMEghpQUMgsKKCwtJWPRIixFRQi9S0tH53PP573PYUQqDaF2YRB9T53S0JmJRCHNVpcQmdpanFiV862f00E35k5t7MXo95Nx+DAZhw8DIIXAk57Oju3b8T/zDAiBLSuLUcXF5M+Zg2vuXExZWQmRXUdHJzHolsYwcXDdz9hwYh4X5a5G9OJKu7F6PgAp1taEyLTz1Cwmmfeft2+XdyZ5R/f2mF5ISVJDA0kNDWf3BSwW6nNzKV+zhpCUKGYztsxM8saNY9SsWbhmz8aUm6tbJDo6n2F0pTEM1LfZ8Aat7KybRWl2z+t3pNkaubXkhYTJVN2ex6KkNeftq/VnU7rlU7xR5mHy+UivqCC9ouLsvjOK5Njq1QSFQCgKlowMsgsKyJs6ldSZM7FMmIBi1mfy1dGJBrWrC2EwIMLfzIEf/5jTNTXMvOceHBdfHNdr6y63w4TT0smigrXMzOp9waeFBesTJ1BQCwZUlG5WjxB4q4Y2KWJPiiRkNNKemcm2ggL8NhsyGMTgdOJMTydr7FiyJ00iecoULMXFujLR0Ymg+YMP+OB3vyMzOZmljz/Olvvv52h7O8Xbt/P+yZPkjxpF6U9/GteuYd3SSDQyxI6TJahS4eL89RhEaLgloum0G7tyftxIp2pF8QUhDrPWG4JBUmpqSKmpOW+/z26nPiuLirw8QiYTaiCAkpSEPTWVjFGjyB4/HvfkyVjHj8eYmhp7wXR0RjhlL77IpA0bODh/Pm/ceCP2tjbmbd4MQGpNDZXTprHrP/+TOf/7v3G5vm5pDAOh06uo9eRyx9SXMCjDrzAAdp4qpcRSdt6+vd4S0hpPJFQOS2cnlm5WCWhdXG0ZGdTm5uJzOiEQQCgKituNy+0mPT+f9LFjSS4qwlpUhDEzUx830fncoXZ10XTiBDmtrcxcsYJOlwtnS8t5aUbv2cOB7GyklHH5BgTwebf9R5zS2LryN1wxtoGi1APDLcpZajuzWZr08Xn7JlsP8nLWl8hQNsbF2hgIJp8Pd3U17urq8/ZLwJeURENaGieysvDb7chQCFQVxeXC7HLhTkvDPWoUqQUFOAsLsRQUYMrJQRg+w0a2VAEJ4jNcBp0B0/zOO5iCmvu9oqoXKAzQKnUCAbw7d2IrLY25DLqlMQw47Rms3FdEWd0UMm0NXDf5rfCTHiaCgITuAd9OpYOAwYxllh3f1s5hEa0/BGBtb8fa3g6VlRccDxmNdKakUJWaypH0dIIWC1JVIRhEWK0oTic2pxNXsotMp5nsaVNx5I5CycqBjCxITYeRplxkiHefvB6Twc+cS+7HXXjzcEukkyDK3nmHvD17+k2XWlVF+auvMiUOSgP0MY2EYxJBvpC3gjRLEx9UX8Ha8oWMTz9MVkr9sMjT1pJ0QXzGGcaYjnFqegnurVsTLFVsMASDJDU2ktTYCOH4kkgkaIokJ53VV1zJ3L88QofdiQRkKIQIhcBsBosVHA6sVht2pxNbihu7240txY01LR1jSiokuyE5BVzJ4HDGb+4uqeK2N1Oav529ezOYrSuNvwnUri5aqqrIa+3fBT/z2DEO79rFlDjIocdpJJquKsqrGrly1AGEkHx57IscaSvmrSPXcceUZ7HbonVujR07T5Uy2byvx2PlgWLmtb+bYIkSh0Dr+gqaDIyqq2La3t6Vo0TgtVjptNrostppcSRRa3fSZbUTMhhASrqMZmxdHVr3kdEIRhOYzGDS/hqMJkxGIyazCZPZjNFqxWixYrRaMSigFnZimz4Kg8GEcuYnDCgGI0IxoggFISRSKlhNPrraTybuZukMK5FdU/2hqCqhri58Bw9imRj7VVH17qkE0lb5AZn25rMBfXajl+mpZSjAtpo5XDJubcJl6ik+4ww5hhoaisaRQWIHxBNNe3oGqS19LwQmkNh8Xdh8XdA6uFmHQ4oBv9FEwGQiaDARMBoJGowEjUb8RhPvLryKS82PoWIkJA2o0oAqFaQU2l+0/7Nc2vV9ITN07QNbyaDk0fns0NXcjLnrwpmxeyOlvp7jr7zC+B//OKZy6JZGgqku30KB/cKlba2GLnze7MQLFOolPiPMDclv8pR6J8YH5+H+4+YEC5c4OtLTGFd1KO7XMaghbP4QNn/PFqXd28GE1jKUKBuHiiIInP4QU5oRrOP16ew/xyTn5NCVHP1s19mHDnF482aK4+BFpVsaicLXwKmTFUzOvXDsoqJ9DKPdlQkXydPswKL4+0xzl/tp/igfZGHqZoJDX9ZjRNLhSiazaXjGlCJJ7mil8sAYxk6s6D8xMCd/A2tWgTfwCSkuEy5XOhNm34MgxL6tT0KoC7c7hdGl/wjmUXGVXSe+7HnpJVKqqqJObwgGabDZCNbUYMrLi5kcuqWRQOrLnsDWw8JLAEZFpby5mOL0IyhGtBFaSdxV+s5TM5lo2t9vuhLzXuq/NJfUR7bEV6BhImg0YfdFb/rHiyZXKoVp0SkMgCSrh+UTVgAQCBk52ZLHu6+cRgjJxWPXY7V1UdUwjsf++B/cfk0ejnH/plsjn1Ea2tuZdOTIgM4xd3by0Q03UHTFFYy65RbsU2IzNK4rjUQgJRWHtzIjbUePh5flfsyOxlIe23E/DlMHIdWIlAKjEiDfVc2iwjUoxqFN59ETJzwFzHdu6DfdPPsmnhh1LxfbthAa/ro15ijE/t4OBoMaQhnksmgmQ5DCtOMUph0/b//k7N2YDH4++GQyUw7PpqplDEuu+TFG14zzMwg2gyElKqUi26vxHPmQpOlfAYNlcALrDAgD0JqVhfvUqajPmfHxx1RPnMi6Q4co/q//YtELQ5/LTl+5L0H4K5+hw9OGLal376jS9B3MSN0JcN4Yw4a6+fxp+zeYkrYPq7GLJm8qlxd9gKJAMKigoNLQmUGSyYPd1qU91WislCCoqnJ2/Yy+sCp+bKKL4P0TEL87xAipY2PGSGl8Bw1G1FDsDczijAPYjB28t+8Krp7yDi89+0tmTLBQsuxxCLWw+6N72XEkmS8uaiJp9NdAhgiGwJx+NSjnx/927n6S9997h3Y1ia9OvlFXGgkixe/n5IQJA1IaZq+Xsbt2kV1ezpE5c2Iih949lQjUANvWvsLc9P5b9D0NSC/I2kiqpYn2QBKKqpJqauL5PXegSgWjIahZJCJICAMh9dzjFEKS66hlVs42kp1tFwQQBjsNeGXfC0FFcoXzfR4L3s9V3/srxveOox4amQF/A8UwQhQGgCXgxyut2KOeVzh6RrlPcP/CRwG4bfbzvLjtNvYfvYUUextj0yu4aWYtq3cuwbD7EZzWAN6AAYP4AyeaChib08UlV/w3u597gC2Noygwebj2K98Dqz7/V6KwFxaSvH5wk5ja29sJWCy8dPnlpCsKS195BcXhGLQs+kB4nAnWf4oa8OA0dQw6j4kp53v2zMvsf2xBVeFI23g+qrgMb9CCUCRjXBWU5u7AavGhmEIoA5gfJMd0iq+lPM7HpktJvmY0BYc+GHA5RiImw8gxnMZXHGKzYR5LF62O63UUIblt9vN4fEk4LB6UsAv4tVPfPptGSlhXvpB8dxWl0y9i89PfpqbNSq6xhiu+8xzY0uIqo8451M5OqisqyKutHXQeM1aupCUri7asLLZ8/evM+8tfEKaBdzTplkYC2L/hKcY4BjaAFQsUBSakHGZCihYJHVQNlDVN5Y2DNxJUNf//gBjYSzPKVENbKJnSD18mEA+hhwHFaECRI0NtzDiwk8dK7mepXB33qWWEgCRr+wX7u/w29p6aicfnpLh4AqNm/gSMycxJKaPz5DaSpt2ud0klmGO//jWmlhaSG/uOJeoLYyBAenU16dXVbMzPJ/+xx8h78MFB5aVbGvEk0ELNqSam5Vf3nzbOGJUQM9N3MTN9FwD+oIlnj37l3BhIFBz0jic9WEdgb+Ij1+OFJzsLl6dtuMUAwO73Yg4GCG5XMM5O7CyRUsKe2jl4AlnMmHczjrwvg2I7e9yQOZWkzKnnn6SGUE+upbVmHzZ3Ptbx1yVU5r8Vyt98ExGjho3XbkcJhUi75JJBnR8PS0MI8QRwDVAvpezRxUsIsQT4Ddo4fKOUcnGMxTjLsCrF2q2/ZLSrpv+Ew4DZGCDN2sTbgWuiPufDjiuZsvGjOEqVeNozM/uNBk8khTUV7N47o/+EMURKwZry5WSOXsbFX3wNR/5d5ymMnlBbytn22C2sfuE/eHvlFt5+9VnwJWZp4r8lKn75U6qKirB5PEPOq6aoiNd++EPGZ2ZiHaT77RmlMZBfFDwJXNHrNYVIAf4IXCelLAG+NCjho2T4lIYMcfTgNia4el5jeyRwfeGbNPrTUaO0x8zCh9zYHF+hEkxHehqZLQ39J0wQxlAQxZ5YK2PdsSVMnXkpOTP+H9H4/EpPDVue+wdGd60h09TEjNQ6vvSt/wFL9BHLOn0T2P4+733nal5taUYgyTt4cNB5hQwG9i5axO5ly7jP4WD2H/4wJNmUAf76Q0q5BugrdPh24DUp5Ylw+rhG4g6b0vAefx0TXShimBej6ANVFfhVM/4ollWp8ufSqTow2BMgWALxpLjJahz+aPAzJHk8tLQnrvLdVzuT/NGTSZ34j1GlVxv38umj9zEquBOvtNFoGMe0+9+EpPw4S/q3Rdl7L5DprWd0RyUL9gzeuj9eUkJ7WhoHLr6YGV1dZN5+O4pl8GNScbI0+mM84BZCrBJCbBdC3BmbbHtmeMY0pGT3umeZ5h7ZU4q/cOw2lrhWYQ32PZUIwErPZVy99wk660GxgNrzbOqfOQImE07v4D3bYo0xGEA1JkYzH64vIWAspHDer8/uC3q2U1f5OnlT/vOC9L5jK9n4zp8oNWwgWWlhpe8yZma0Qu1GSJ0M9szoLx7son3Pc9Qe2ULRFf+MklwYgxJ99lFVle1bt/JiuZ/rfG0s7FzLhoULmbbvzajzaEtNxdzVxWs/+tHZfTcLQcnTTw9ZvkEG96ULIbZFbD8qpXx0AOcbgVnAcsAGbBRCbJJSXrjeQQwYFqXRVfFXVH8L9uSRGz69r6mEVEMzE9To7nttKBdDZSvBr09gbe7VXPncb/AeHrlWVLQoIyhOA7RYjWAw/q/tgbpphEzjmXHpX4AgJ/f8CKn62bO/gYxUE3lnurzVEHQ10H7gTdZ//CbTLLtJMbbgUZ2cCmbx3nHB2BcfoiGQysR8F5PueAJEDwa+5yS+qvXUlu/E7+2grrocu9pEpS+P4jOeGFISOrUdFCOGrMSO6wwXwWCQA/v2sWnjRrZs2kR1VRUSGD12LK/UpfG/zsN0ZCWhGEGNYmb0wxddxM6lSxm7UwsUdtfUcLWUjHt0IHV03wzCemiUUs4ewiWrw3l0AB1CiDXAdOBzojQCbWz99EnmpW1K+KWjpaErjfV1F3Ov67Gol3K9yvEOb1zzA3INJ5lq3MO+229g3EOvxVfQBDDCdAYFtcf55KKlXM6KuOQ8v+PjAAAgAElEQVQvpWDz8YWkZhQyaeFvqD/8Uz5df4zRmcc5WjMOXzCJq7783wD4T6xh019/AmoAuzHApfbNGIW2rr1Z+JlsPcwsszb7sbQI1tdeTPP6X+Ne+IMzFwOp4j38BmvffpwkQyejRDkO4WeMoQWTMUBz4FIatzxO3alaOhrKaQ1YsdrsXPKd1+NS/pFAeXk5r770Ert37aKhvh7FYKC9tZXyw4fxtGtu0KluN3NCWrepI9SJv9iN8UD/44nmDs1qrpo0iZSaGgx+P6N/8YuYyT5My72+CfxeCGFEW6J8HvDrvk8ZPIlVGv4mNv/1axTYj2IxjNz+mw+qr+TWtBdQfNG78c2w72GGXVtq8oS/gHXtF8VLvIRhHGkaAzCEQqR0xMkLScDjG+/B7WjHmWVk9Zs3k+Jo50sLttPQlknZ8SncsEyBrg5qN/6Gst3bWWRZh0250MXaLPxnFQZoMxDMt27kr2tGsdTzI8orKhnNPh6v/xLzrRtYbFuNpYcVImdZt1Oxp5UM5RQWkcRc+35Wdy2JT/mHkfb2do4dO0Z7ezt79uxh3Zo1rFu1Cr+v53ri5MmTJBXPQ3aWM69pE1svvpgpB97p9zqetDQyTmjr3wTNZm4oLcWQGtvI/Ti43L4ALEHrxqoG/p1wL5iU8mEp5QEhxAfAHrRm7uNSyrh5GCVUaZwuexhz8CSFqYkP5osGVRW8UH4bKcYWXL4LA7uiJVlpQXZfVPwzyEiKBj+DqghEnJwnPjm6FIlC6bitpNhamFJyzmGlrjWPsVkVHDjk55l3fkO+8wQ3WT8YkCOHQYS4zvkW1QdGM1mpZW9gGrcmvUCx6fDZqPPuuA3NuA3nxv6qg/ls9s7jogOv0lZ3CKsrF1fpVwdd5uEgFApRU1NDfX09Xq8XKSVOp5Nx48aRlJREVVUVkyZN4pMPP+w1j51bt7Jw6VI4DKO6avgkYxlC0RaF7IuAycQ0wOF2k33NNWRefnlMyxaPOA0p5W1RpPkFEDuTqQ8SpjRkVy27tq1mac72RF1ywLxWeROljh1MCg3efQ8g2diG12zHmA7BkRPiMGCE2Yiijiy14er04JdmCBLzt9di9LNgwnrGZl+4ENi00edmYJ5RuJOnPr2b9jwnyafbBqRZ7Uon45UDACw09LwiJECHascnLaQatC6XLtVGQJrINZzkRufrvPfGEY4GiphiWcdCJK7Su6MXYhhpb29n7dq1FBcXM3nyZGy2C+Ndxo8fT11N3/FbN99xB3LnBwintm1Wg4h8G/J4z+OkEnj/gQfIOHGCGd/9Lqt++1umxVhhnOGz31zsm8QoDTXA9te/zmT3/l5bVMPNjsYZSMmQFcYZRpmqqb5zKdm/+jQm+Q0HnuxMkj0jLyDNFApS+VEBhVfGdpldk+LHH+rf98Vl9/Dli1/kzZ3XYzCGMKgq+dYTTDWV4epsh/6d7XpFSmhXXaz3LyUnK429TQ1Y1GbaAjZaQy6cBg9Wi4VUQxMzlJ3YbDZsGeMHf8EE0traytatW7nsssswGnuvesaOHcvWrVvJyMigoeHCGKE77rkHQ91R/tOx8+y+6a27OLxwPkXHPzkvrd9qxez18sJDDzF+0yYuuv9+bHPmcNnvfx+7gkWgzz0VK7y1NLd6mT1q+KcL6Y2DLZOY4DxErCaNag0lU+AZuYGL0eBxZ3EsdyzPL78NBBhDIZI87bjbmnG3NJHWeprUtiZt9uEzI4AJGAdZvHUVe4zTKYzx2uxGQ4BgFEoDICulgTuXPgOAP2DiQPUkVtRcTkfQQYatnrEpx7CHuhjlO4HSRp/WiE+aqQxN5JTfTUMog/xUhWXXfwNL4RIATr//XV7d1kmdms0C40aWPPACWN1DLG1iUVWVzZs3s2zZsj4VBoDb7SbZ5WL5lVfyYg9usCazmZvb1qJEeDBPaD/ItoLZFEWka3e7efu738XV0MCct9/m8lWrkOF1xA0pKbEoVo/oSiMW2PIxj+CBb4ArRn3Ak0fuxpHWwcTQ0NfDXuBYz8t5tzL9Pifux6KLRzEoEBpBXrqeZDeXf/ghxeVHAfCazTRkZHI6LY2a9DwOjp1Eh71bzISU2mx/AkBg8fuwd3Xi6PLg9LST1NmOq0P7a/V1aS69Pf36ILuhlrUsim1hBRxrLGJcztEBn2o2BZg+Zg/Tx2iOENuOzmJ1+WKMhiAdXicOq4d7DE9A6Nw5raFkunCypvNi6oOZjDEd4+rvP6etz2G08dGvbuCixYdImnEXr+/oZLzlCKNlNXXBTLY9eQ+lt/wcxV0cq9LHnV27dlFaWtqvwjhDVnY2ReN7tqDsDgcf+bJYwrlZbbX2isSUIgi0aBr60OzZJNXXc2tJCVk/+xmK0wlO55DL0hfD5D2VUBKiNAJ1q2CAM8YmmlRrM+mWBoxE4ewdBaNMNXwv9Vf8xfA13MrWfl13LQ6FTx54kBRPMyavF/epGtKOH8dxso5AV4hgbMQaEB0pKWRuPxdzZPX7yT9ZTf7J6CxGFfA4nbS5XLS5XLQnuajKHE2Hw4HXaiVgPPNORNFlKc79E1IUQjJ2n2azN5kXtt1BVsopphfuGnJ+s4u2M7vo3NjdH99/kD8EHuSO1OdIade6+/b6S1jTtZiJpoOcVtO5a/FYsIRbv55qjnszmVh7mID/YaZZ9zPXcm69mUZfOu8/+gNGpVmZsOhWrHlzwTly1zjv6OjA7/eTnp4e9Tmnamup7WXN767OTi61XDhLQZHnCJWLZ5P3ptZIczU3k1FdTc4QpwUZCPrKfTGiYvfrTBzBc0wBeINmvCErRbI8ZnkqCqgoGGwgQ6B6wZwG/tPn0ohFaTRPKsS6rZVJ1fu5dN8ntFmdHM8YQ9WsGbQucqEKBZCoUuBoayWzvJy0o0cJdQTxx3EOdr/VSlL74Ge4VQCXx4PL44F+BjYHwv6JEzkxtzBm+b299zq+svgZXPbBe8z1xYNX/pHK+gJe2nErXzc+QpdqA2s6f3/DfLz1KUxuCZA0//vnTrBn88WlU3BPuRF/5UqO+gopMB0nWzkJQLqhkasdb9PYkcGud+to8CezcNlVuOc+EBf5h4KUkj179lBSUjKg87Kys8kfM6bHY16vlylJoQv2z27axp8n3ntWaTTn5HB7DJZwHQj6mEaMaGpqotDW13xbw88H1VfxhZSPiJGhcRYLXrb8070YZAgpBB7ViZUu3IHTZNVXsDtvERJBvvcopcfLAHB5PUytKmNqVdl5ealArTuXQ2MnsGvmjLAy0XqEjH4f7rpTpB4/jrO6hpBXHbJCUZAjztQumz6N7aUzufOKoU/5ANDYpS2WFC+FcYYkWzsICQrs989g2rIv0tj5PlWtDVx09V/PT6wYSV3wXXwVH7P6w1cZa27G1cN8demGBtINDXQa7az/1MsXZtwOZldcyzFQNmzYQF5eHi7XwORavHgx5eXlWCwWfN1iNUwCcnuYZNiIiioMGDONnLLlkW02I3rwzoo3utKIAQF/F9hGWvVzPp6AgzHmypjne4PrDXZ0lXKJfQ1HAsUUm47ix8y+rsm0OZPJDZ1kouUg7+Rfyw073uszLwXIa64hr/nCVrtmnYymeuYUjixchAwv7H1GoaTU1+E+eZKkE9XQFSAYIoour5EX3Vebk8MMZRfK6Nh44RmVIG2dyVTWF1CYGduB9UgOn5xAfWsW60YvxN9hw5qfx9uvtTK5oNua1o1l4B7P0Ve/Q3nFcUotO8gw9j3LsFdaORwYz8UHX8c+7a64lWGgHDhwALfbTWFh4YDPNRqNmEwm7nngAf7429+e3Z+dmwve3hX8F2o/4PX7vk3pxysYPWsWIsEL3OtjGjFi8sLb+POKeeSlelmYs57UjnUQHDlraKtnxhsutHiHjMvgYYlT88efYNGCGq34mBXhLoiEdR0LUYYQSqdZJ/uYWrXvgmNtVidVaQXUlBRRMXcuQYO2Gp9EgJRICbYOD0kNdSSfqsNVewqlw4cYcaF9cOkHH/Lne+6l8xEHC+7bMOQvNMXSyp3zn+LVnTdz9/K/xEbIHpg/cRO1zdm0diZROqOElR/+iub2scxY9vOzaWTHKZ555BdcM38Mbx5MYpG9iSaZQQZ9Kw2H4qHQWIEp9Y64yT8YfD4fqqri9/sxm/ufKbo7HR0dZOXnk19QQFU4ivtUbS2KzQm9+NUUdVRwSf0aNi5dxtTc4VmjXbc0hoxk30kPd901mZYWH5+sT6bLezl2o5fpGQcokh+Ad3gj4Co9Y8jspzUXVzogqY/W01BxeT2UnNxPycn9PR5XETS4Mqhx59IwdQKV8+YRMBjpNI28ed4V4L4/P85Td97JgiMbYMLQ81xbfgnzxm8cekb9cPHEDby47lbm5TugQTKz6CiYzg1ge4+8TZpDYfXmMqZYOnm/42rucD3fb74W4WeOdRtH1z3NpFvnx7MIA2LGjBm8+eab2O12Jk6cOODzv/Wtb/Hqq69yydKlPPfUU9pOKfGpfVsPpZYdtBlcpN768z7TxQN9TCNGhEISo1EhN9fJzV/SXp6mJi/btrjZWD8TowgwJaOCEuvHKO0Dd3kcKmVN01hgXRfz8Yxo8Z42Y5RxMHOiREGS1VZPVts5j5RmezKrJiwbNpn6wxQKxswy9HgduJ0tscmsDyrqi1g8ZQtrNuZiNSvMWXDrecdtM+7DvOJVljjWcdivuZuONlZElXeS0kZVR3zHZQZDfn4+aWlpgz5/8uTJVB0/ft4+o8FAbRfk9DBcUbc4h1fETSQleVCNb2LgRiCxa7br3VNDRmC1WlG6zbGdmmrlsivGAuD1Btm6JY3nj49HSpVxqXXMdb6PsX0/iZj9qD3gJMN8uv+EcaK8s4icptr+EyaQelcWKa3xr0gHj4xZky6gmrCb49td2uG1E5I2mjxGinKOctqThSn1/FU5q979IVbhxaF0MM2yh1HGKkwiOm8GkwgQCA5fw6M3pk2bxrZt28jIyBjU+cXFxaxbu/a8fWaLherObkrDCv6JFp4P3Mqdd75MKGTiF7/I4WtfO0hm5kODL8AA0S2NmKASDPowGnvXv1arkUWX5LMILXJ0184MXjqQgxpSGZVymnnuT7G37wA19v6l8RzPiJbjaiHTTw09PiCWNLoySK8dOSv29UiMvk67uQuv30qyY/Duxf1RdmI2Ga56vAETVlOICZPmgWI9L03AH2CMUXP5NogQGcbou207VAdqFIuFJZKmpiZ27NjBhAmD70M0Go1YbTYMBgOhkPaR+rxe3GMFdVOy2euayimRhTSCUVG5ZvZHpKW1UFY2iVmzdpOR8XCsihM1uqUxRFpaDmKzRX8ZRVEonZVN6axsVFXlwP7TvLUnk0DoyySbPczL2kaWby34Y9MKPtFRQJpxeN2Bm0UKOT14RA0nTc5UihrisoZL7IiR0lCEyrG6cWS546cku/xGapvdXDJ5LesPLmL8Jd+8II3R6tScEwbBJ74rueaLD2obnpPgyOl5sacEEQgE2L59O8uXL0cZ4ozPgYCPu+4tJDc/k9T0Qjo6nay0fp3c7AYmTTnE0nHr6X6J1167hn/6JxNCJHaZXQFRLA792SbOSsPHxo1rueyygkGdrSgKJVMyKJmimba1tR1s2uSm3bMUBT9FqaeYnroZy+ktWvTcINjTNIN51o3DNp6BCgRHXuvEY3GS1jB8XXZRESOlcUPJGzy/81b2V09idtF2phfujk3GESydcm4iPSEUMGZfkKb5VCWFysAniGwJJZPuMmFML6Hm3X9gV9kBkswBLr7rNyhpk4ckd39IqXUfCyFQVZX6+noaGhqor69nwYIFQ1YYAMnJx5kxdylTp+6jpORD7Pb+pySaMmU/r75qZu7cBxk37vf4fCt5//3HuPTSxTid3xqyTL2hu9wOkWCwGZvNhMEQm9uYk+Pg+hu1AUK/P8hf/2pg18lrsduuw2HqYHbmLvLVDdAVveXQ5k8iyzSMnlOtjMRwCKQAo38ETYTVEzF8e2+f+SIY4Nmtd3C0dhxXznwfuzU+yxGrqtAWkVciBmi7Gmg9fZJk68C6yMpDEzniHc3ym7/Ftqe+jqWjnMsde2hR3Wx/+V+Y843YrvDX0tLC/v37zyoL0JZkVVUVRVHIzc0lLy+PKVOmxCxGwuXqorR0HWPG9DytSE/cdNO7AHzwwVKys/+AyTQZu72T//mf0/zLv2zEaIyfl5k+pjFIVLWdNWveY968zP4TDwKz2YiUKvfem42iKDQ0+NmyKZnVLReDDJGf3Mis1E04O8og0NF3ZsM4ntFyOhlrYIRO5jhc1lc0SGL/dYbgK6XPUevJ5vm1t3PvF/4c4wtAXUsuNpsVxPmfXuWKn5JpGHj3WG0whyvu+TnS18bpVg9XOLSxsTTDaQ50tEBbBbh6no5jILS1tbFz505cLhdz586NeuLBWBAMhjCboxmvcVBXNwuL5RQpKVrX6rhxNaxcuYorr5zE8uX3UVGxgrKyf2PmzI/iIqs+ED5IpOxg9eq/MmtWOg5HvKbvCgLyrPmbkWHm6mu1bixtLCSF9/dn4/Nfj5BBRqfUMyNlM05PGQS1FmSVZ9TZRW6GiyP+8YyurxxWGXpCIoZVmUZFnOqtHOcpct01vLHpBm646I2Y5l1eN565i78N4vyqJb/0ejYd3QNcGJzZF0GpULvlGY4e3E2p7fxz7QYfHeWf4pg5dKVRVVVFcXExubm5Q85roAQCKiZT9xaMgqoWUl4+h/37x1JXZwBCpKcbqK4O8p3v/A8QoKjoEEL42LTp/9HYmEZenp9t28Yxc2b85NW7pwbB1q1vMW1aKsnJ8fOPrqw8TVpazwpJGwtxUjJFmwY5GNSUyHsH8vAHbkSoAUa7G6hr72B+0idw4RLPCeMEBXyhdsXwCdAbIy8Y/Hwkce1cvWrC+2w9OZsnVn6NucVbmDI6NhNuqhKM9gunNFeSx6CqA+8OvNiyhsMHG8hVAmQq57ttTzLspGzTu8yd+bVBy3uG3Nxctm7dSk5OTsKn5ggGVaxWI35/KQcOTGfHjgJU1YDFIsjKcjB/fjZms5eVKyv44hfdvPBCE2+++Y9cffWfWL++iFWrFnHLLa/T2ZnCkiWzOHToeP8XHSS6pTEoVLzeLtLS4hvCv2NHI4sXJ0WV1mhUmDotianTtPSaEnFztLGNT0zFCEOAQmc90w1bcTbtA68nnqKfh1e14IpjNPhgUBmRwywXEuevc07eNmblbuMvW75GYWYFTls/3ZxRYDKE8LVtw5JedN7+xl0vk2ocuNVrEgFKzHt6PGZTvPg7GkENgjK0T93tdjN27Fi2bNnCvHnzhpTXQDGZ0nnhhW+QnGwkPz+Z2bOtlJSkdxtkt+L1akq3psaPxyPxeB7g6FEfJpOPsrJJXHrpIqzW5VRU/JiSkm0YjbPjIq9uaQwYlWBQRUoZxxaJpLMzQFra4JzbelIi+/a6ef/QKLqMN4A9RI6thWm2PWS17YS2OA2U++l3nY3hoN3qwuobRvMrGuIxptEDioCZ+TvZXTmDiyetH3J+voARc9KFlW7a5KvYv+XDmC/GYFAUAsfex1R07ZDzSktLoyaGU9xHy/z5X2b9+jVcf31RH6kMGAwG/H6VMWMslJV56epSmTZtH1VVeYRCBo4c+Yjy8o20tWXQ0rKW9PTYKw3d0hhklpMnT2PPniNMnx79oisDwe/vxGCInUIyGhWmz0hi+gxNiaiqSkVFGpvLMmiTSyAJbHgZ66xmqroB4+ljEINAKvW0GJFN+vqUzBEeDR4mHl+njPip2l+H8HDKc6GL7ICzlppDprBcOMagpJeQlJxGW2cSLkPsLM8pxm1sXvEsC2OgNLZv386yZTGaWkaq4DuoeV3Zp/SZND19FB5P/99bcrKRffu8GAxwzz2TGTXqeqCJI0f+maKiHyHEVObO7QQ6gfjUTbrSGCTZ2TPYuzf2vu5n2L69nokT4zeZnqIojBtnY9y4c/MUtLUF2bc3lZcrilHtoIQCZFgOME+8javLo72HA+R422gy2od3ssaeaEzKIK1h5Ml1hhX/cBkNSZk8v+G2bkpXoNX2kTu7Dc70NVbT/Vg4GymhNZgCcwYpcJgmj5uMrN5by9Ou/C7rXmxiiWHl0C4UQZLiQQaH5jqsqipr165lwoQJg4+7CJyis3Ej+/Zuo6LqNH6f9sHUt2Uwb1Iz8y/7vyjW3gLxHPT14FRVcuyYh+pqgdfrY+bMcYwadSVamF02xcVPRKS2h3/xQV+5b9CYcbvdtLf7SUqKfXzksWNt3HLL4OayGSwul5H5C1KYv0BbkjPoreXhh1NpdV+BL2QGMxikSo61lonm/WQFGqCdPiupo8FiimqOJKYAA6C+IAPXRDMnx+WSUV2PuT4IDcBpRoRHlZEgkx37+EJ67CrX/niq5k7275nE5GkHBp2HIiTBYO/u1cZRC0jPzON0cxpphtgEVqpSQcjBezVIKdmwYQNTp04lNTXKccpAHd7mzewv28qxE434fF1ACJNBZUz6Ea4p2Yvdoimy2tYs3txxI6dffojr7uzNxVmhp5GClhYvhw41UV/fSX5+PtOnz2PevItYufL35Oc3YTQ6BlXmoaJbGoMkOzuP+voTcVAaIaSUfc5llQhaGk6QnXaam5e9cnafP2jk6IliNlfNp93r1JocErLM9UywHCQvWI3SwdmKt0FksLwhcRVftHjGOkkf08Du9hm0dbi0YDQBUgiEKjVv5yBYQz5cvjaS25pJO91ESnMLrsZWjK2qFrTYBnjQxm5iSJM9lQ5/YiuEUdaTtHUkDymPZHsrO4/3HXg6ft617Hq3gjTDmiFdC2B152I2eBewPG1wnl/B1vWs+HgjM+ff0bPCkBL8lbQ1bObI4X1UnDiNz9sJhDAqktFp5Vw2cS8uW++OJTnJddy/+BF+t/K74D0E1p7nqXI4bDQ0dJKRYaeuroP33iunuDibkpKZbNq0kra2Zny+U4RCcOml3xlUeWPBZyUiXAgxHVgU3lwrpYy6ayhuSiMUUuNSsdfVtZKUlLjAot7Yu6+TyWPO91oxG4NMHnuAyWPPtUZVVVBePY69VdNY47tEa4YoYFO6aE91DGnhpXghjJKLp/a9voSqQltnMqfbUmlpd1PeWkRHpwOv34oqFW1pU8G5HiMVTVmGf2YZwKL6sQS8WP1dWL1eMk/WUfhs/6vn3fDa6zxyy9eHXtABUOvP5vbJzw0pD0VRMdAGwVM9TiMCYM6cQiBGbVWvtDLdsosZ1/3zwE6UksPr7ub4iZPUN48iJzsLQu2onXuorthBeUUlp+o9qKFOQGAxBihIPcZl4w8MatlcRZGU5O3nt//7JwwmE/fedwdWxzQiq9+pU4t4772dzJ6dQ01NO3feeQ9S2tm2bRvXXnsde/bswWQyMX/+8K8nMtItDSHEd4H7gNfCu54VQjwqpfzfaM6PU+0b4NixwyxYkBXznLdsqWP2bGfM8x0oNbWChcv6n9BPUSTFBUcpLjh/nZCW9mRe9d0UL/GGRhRvhaJAirOVFGcrEN2aD2dQVfD6bXi6nHT67HT6bHj9VlaXL6GstIkrH3uPoNEEqRKzz0/QbMR8NAhhx52DF0/EriR25cdscx27Ds6kdN7O/hP3QYarkZpDD5Nb8lDPCSwpoA69D9CjOjAZJJf/4F0YiBdjyEPl9h9SV3uMZZM28PT6O3nuka9qA9fCQKrjNIVp5SyaeQSjMXZ9lV8oWcH0EpWX1y3m9bdWEAx+yKhROcybtwC7vYD33ttEfn4SQjgYP342GzfuQVVVJk2aRHl5OVOmTKGoqC/vqsQQD0tDCPEEcA1QL6Xs1WtACDEH2ATcIqV8pbd0wD3APCllR/i8nwMbgeFTGl1d1TgcRszmWOtcSUuLj7w8d4zzHagYAVQ1iNE4eH9Zs8mPSx1Z8RmA9kbE2b5WFLBbuy6Y26m0eBcHKiby5/vuI6QaSHE0EwwZCUkjXr+Vhc3rmPpMGZ+OWsplKYkNiFyS8gmPnHyAaa27MSapg75HEhM2Zx9T64T8MXFV3+y7mIW3/Gv0CkNV6VzzJG99vJKZc/awaLwWXX73ovgtgdudXVVzWHyJi6nTnNqsDgdaeeut1/H7VbKy0vF64cABH6NHN7Nw4UIaGxvZtWsXs2bNwu0e5johgjhYGk8Cvwee7i2BEMIA/Bz4MIr8BOePToYYgB9nXJRGIODDbI59zRMM+i5YzGk4UH0nhvxhHzlRTF5XdYwkiiGpDGvsyKQxBynOP0xQNWKNmG+orSOJldsuZfW3F9PW7iIphm6p0WBUVJalfsJLa27FbAjwpWvfBoMRDCZUaaDT76Az4KDTZ6fLb9f++uy0dbro6LISCBlBCDwdFpbm1NJbFac2Hx3ylOZSgpBBLAULo0rv2/0BO157mFBnKyFDLmOCiZ8S36sUsveIjcuu1XoRFEWhpMRBSYmD555r4MCBar75zW+Snp6OlJJ9+/bR0dHB8uXLEx6h3hfxcLmVUq4RQhT2k+zbwKtE5+P3F2CzEOLMbJY3AFFPtBYXpWEyWQgGY99Xv3t3HePGWftPGGeOHakl0103pDwqT47h4pPrYiRRDHHDcAePGI0qxm6j5y5HO19c/Dr1zRk889Hf8WLjLfx9wW8SquAmOQ4yyXGQR9r/noc//jauJB8gQEjMJhWLJYTFrGKxhrDbA7jTg4x1e0hNbcRq1QStrnIQDC7u9RrHt7/JKGVg3X3dqQnl4XRE4SgQClL557+n4shBLmpdh0124U9eRsWpQiaMTaxX3ylvKSkpF1ZHUlrw+Qz8+Mc/JhQKsWvXLpqampgwYQIlJSUJlTFaBqHy04UQ2yK2H5VSPhrtyUKIPOBGYBlRKA0p5a+EEKuAhWgf+91Syqj7XeOiNLZt28C0aa6Y53voUCs33xyfoJyBcOBQkNlFPU/dEC2eLgfp5SNvvQpPhgOzaWStABdJpqt11usAACAASURBVLuB25c/x/Mff0WLl0ncjC9nuSfvzzzdcDcLF52ioGBgAiS5Ahw9Wk3hmO7xJICnhsqj+1lirRy0bCGpsMM7k6u/+mttR0MFZPQ8YeGJJ75Py8HNLG3fenbfmK5jHG0uZgKJVRp2czs+34UNzf/P3nuHyVVd+drvPnUqV1d1dc5RLaklFFEWQQkRBQgwssCY5MF4PIM94Xpm7nPvzL0z33hsz31mjD1jcAJhcrLAZJDIkhCSQBmlVge1Osfq6u6KZ39/lFpqSS2pclUD7/MUouucs8+udNZZa6/1W088oTE0ZOKNN94gJyeHiRMnMnPmzKTOLRKi9DS6pJSxlKf/HPg7KWXwfF6XEMIupXQJIbKAhhOPkW1ZUsqwekokJHpdWzuFhoZ4hw+CBINaQsJekeJyaRTmtsU2iAKE3x4gabQ5C3DaUqv8eyEKs9spzT1Ggxa7ems0qK5+ri54h7feKuPA/syIjnU4fASDXfT2nt3nonvn0+SrHedfhhipVh/5fx/4+lUOd07gnbYr+EPbtwl4HQxu+hN01vPH//yfdL350KnDO+sJ7n6Dlkf/mqaDe5kxymAAlPqa6PQm/8ZsIJCH2STOEm3s7u7GbPZTXt7NggULwq8VSREjxX2RPOLAHOAZIUQDcAvwKyHEjWPs99SJf3cA20c9Rv4Oi4R4Gjk509m79/O46k+1tvbicKRBrWXQFXWXwBE0jVBYxQAkps9P1HRlZJPtTN9q8BGqi+rY2zaNqhhDOdFS2LuPe/ObeGTzfUyeEpnkysyZbWzf/jGLFt108jnZc5Ddm15jsfkLhoJm2gP5dAWz6dVy6NMc+KWKOGEt2oKF5PnaECfUwnVCI8/XQbXnCEt9GxnQ2Tn8bh29H7zFkJLNp++/zdXTL+f4O+v4Yt8erNKLPdDHYvfnZwUiVTSkP/nhyUrjG3yiTuKtt/q4+upThuG7380AJDt2JK5/ezxJhYyIlPLk3ZMQYh3wqpTyLE1/KeV1Z+4fDQlKudVRWlpBc3MPpaXhKdFeiE8/7WDBgviMFQtDfUfRx5A1FUKgSYUn77sNgmD2eSh1H6Oy4yg5Dd0hDyRFfZl6zTlMd+xMzckj4OJJO3hr+0pmT9lOiTs1/dWV/gEMhshvIAwGDZ+7H2/rSxjzVzG8/3nefOUFuoLVtAYK0Qs/mUo/WUoXE9UvKNC1YVJOhQxfct/ApZ4Pye4f2yN0Bvtwuj5BQ0EiOG4u54P/+EuK/K2sGDpw0vicl2HAfMG94oYS7GHtzAd5eucDvPB8kJtuzkZRFMzmULGPoqR79cMpEpBy+zSwhNDaRzPwT5xwUqSUD0cx3kYp5fILPXcuElYlV1U1j40bn6GoyBqHdq+SgQEf+fmpb9m+b18vlUWxxXsVRXLHtU+c/LtvwEFdczWb2i7BPcUa+tYFQPUHyQ10UNbfSMWhBtRmDcLvZBsV/YqdXGfkHeRSwRWzN7C7cwYlIjVG40D2EtS+6G4gMrqPse73bzLF/CuE5uca82aMIry1pFy1kxZjCdmcP4yonMgSKBs+Stnw0bDnJpBoXQKlNLmFp0qwm9un/V+2D/6I3/wmwP33F57cFoMSSlJJUPbU2gj2vetc24QQJkLCWzlCCCenFtXsQNjdtRJmNISwUVpayvHjA5SVxeYhBALetEmrO9qgsGpxfBryjJCZ0c/FtZ9xce1npz3v8+l5bdM1bLEs5NPC+ciR98AP5oCHguFWyroaKTreitImQ9pQMTpBmiowqOnc5/UUUyv38Psv/gySK0MWQsCnHTP41reju4HIzvNR2VTPpWrkbUcLdK3UG6qZxp6ozn0hsoK9NLeVUlZ64er8eOPWTeazfTZuuCH7jC3j4zsJaV0R/l3gh4QMxA5OGQ0X8N/hDpJQPY78/Hx27DgWs9HweAIEg2lwqyE1An4fFlNyek0YDH40TeWGxX/Cbj09saDP7aCxrZw9nTP5sOZyJAKhSKRfoAaC5Pi7KOo9TmVLPaY2b0hwMJz1k9QrtISNP2BACBmaczKuKQICTifd+lLealmGxRIgWtHXrBwfAzI6a1eoa+UzJTENhABKBxo42lVJGck2Ggov7riN1auzyc09M6qgEfqQx8EXNNLvRJLSxqWUDwIPCiH+MlzJkLFI6CfQ399CcXHskh82m438fDM7dw4wc2YK1zUCbZFJMsQBj894lsGAExIeE3YzY4zUX4/PQHNnKcc7SthTMR1/QA0ZFCkQAYkaCOIM9pI70EGuq5Pcrg4MPYHQ/Ubqk9PCxmFz4fGZ+FQ/l3mBbRc+IEY22W/hYHsZOVkerl3VSHZ29AtPtkwNr4yuHbJF8eAXifnpakHYEFwIDQpL+CAh5ziToQEzH+xfynH/RRRW6M8yGFJKpFQZFwYjmvhUkotppZS/FEJcBEwBTKOeP2fF+WgS+ikcONCCwQCTJzv54INm/H6NFSvKohrriiuqWLduL1OmWFOWdtt+vJEMSxILA6J0rkwGHxOK65hQXDfmdo/PSGtXIe29Bex2zcQ1mEFQU0BAz0AWT21Yi0RgUP04rC4ybT1k2XvIcXRht/RHfXedCK5d8Cqvb72WeYWJNxqHOku46+4DcXn9is1ALI3YZYIKMIUClgEXg/YkyHIYiuj2z+LFHTWUqAdw6ru59rqzVW4bGnzk5xeOMUCaEqnR8CdkFudECPFPhBbWpwCvA1cDH3MemZLRJNBoBLjyyns4fHgDW7e28v77zcyZE72AoaLoWbmyhKefPs6dd8beRS0a9u71UFse3/WMVGAyeKksaqCyqOG8+w15THT05dHjyqapvZw9R6cz7DUzcrEzGrzcfNkfzztGoinObcbnN4Q8pATfsS0q2MGTT17MHXfEQWbDbIjFZoTCcgl4zUJAoa+FvY4KgoOgi5cCvZrFkHIR+1pn0dBRgC9oAiGwWPQI6zAN3R6uXHF2VEJKSX29l8suS25f8qgZH9rotwAzgM+llHcLIfKB34V7cMKMRl9fGxZLBjU1V/Dqq6GssJqayAqhzqSkJIfMzA4OHhxk0qTkN1hp61BYOmPsu/dE4B60YkxhdbbF5KGioImKgrFj209tDDupI2HYLW7yne0xXYDDZVLvx2zj4vgMZjLElBIkpQglXSYgNbvLVohxYIDBo2CfFunRAgyFuGQth9qn0tBRgDdgAqGgVwWVldlcPT8Pm81AZ+cgb711hIwMA8WmLrZ+qpBbE8DuOHVZ2r3bw8SJk1DVkri+xoQhCNVfRUJyBZsBhqWUmhAiIISwAx1AVbgHJ8xoZGaOfMgBrFY9BQUWOjuHmTgxFrdXsGpVDY88so/qanNyGzFJH0gfipK8Bfm641UUZqcmnfRCBAK6tOkF4g+qoY6gCY4c7nKuJMMXp1iCIkKPaA9HoqkCZQzpjVgZVG042lpoPZqLfVrneSZhRjNUctw9jcPtEzjWlUtLywA5ORYsFj0Ta7JYOScHu/1svTgpJYcPd1NX18uNN07G1TiBkuGtbHwRLMVV6PU6pk+30N8fZMaMK+P+GhNK+nsa24UQmcBvCWVRuYFPwz044StLUvbh8QTJy7Pg8cSe4qIoBpYsKeCVV7pZvTp5cgeapxGRZIXd5o4yZtfsSOo5w6VnIAurOfm3SGMhkHHvDngmmsXMnq6J3Lo2jhXoMSRVZOgGaDfmUTgYm3DmmWgBGLRnUvj5LupKq5lEJ5ofvMeg83AGh93z6apZQkAxg1Dp7fVgMOhwOs00NnayvELP9l4fLS0DrF170Tl7in/0USPvvdfAD34wH7vdyFO7srk97z0+7NQzY97dGE2DfPjhdvLzCxgPV+GTpKIkPAJEqHbh36SUfcDDQog3AbuUMmwxvYQbDSEyyMjQc/nlxTQ2xudWcMKEAnbu7KapaZiysuSUrR4+2Jr0u/4+t4N8Z4waVwmid8BJhiU9pB0M0stbh66gVHcMvfCjiiA6EUAvAihoaAiCUkdA6vFqRnxSj08aCUgVr2ZkWFoYkBkgwSdHhY008AsDq6te4+mhu6iqdGEwxHERQaegaUS1sJ6tdNOhz6OQ+BoN7wAY1CFy6+rYvOzPaPxFFdIXWiBXfV7sRbnoLU7W3DIVTdN48MGt+HxB/H6NgiwX+raPufQne9j2b/+X559/lyVLrOTnz2f0hd/l8rBlSzPz5xczPBwgMzNkgIQlD4e+D9fOp3DOuYv+/iDLli2J6+tLCmls46SUUgjxEoTirFLKhkjHSLjR8HjaUFUVi0VPbW28MjIEN95Yw2OP7efuu43nvJuJJwcPaSyYkphiqjE5cd1Kp0yl0fS5M3FYI9NcShRz9dt4QVuDeWAjAaEnKHQEhQ4NHRoCgURBosoAeulDr/kwaH4M+MiQLmzaEEbNg1VzY2HotN/8Yf0E1jWsxVro54qV8e1/YlCDDGHBFkVQO0vpoiUBcX6X24CWo8PkdrPo17/GNHT63KyXz+SzGZNwu7089NB2qrJVyu79OwA2//x/0Da5lr5/n8W03A/Y0zqBJ5/0c//927BYTi1k2+0mLrusgrffPsKhQ9088MACnJkmjumWMiPzWd4/ZEfX/DO+cf1fI/TFcX+NCSXNPY0TfCKEmCuljCrlMOFGw2DIwOWKfzGcqhqZNy+bN9/s5ZprzqwejT+uAY0853niuwkgLI2gFNE/lMnEkoOpngYAU6/8gnfW9TJvaCumOMepavxH+EhzU6H0x3VcAKvJR99QJrYoWtfm6zrYr5yz82dUBLzwfOE3uei11wDOMhgA3i8akYrCunU7Wd59mOCP1p3cpiga11//OW63geeeXcDVV++mrq6QF15woWlNKEoRV145g/x8G21todqjnBwLAPMWlLFp43RKzc+ytGADe3qn0b7/ZQoWzo7ra0wK6W80lgLfFUI0AoOETJ2UUk4P5+CEGw1FySInJ4veXg9OZ3wbKE2bVsqePXtob0+wLlWwj2RX4AT8SrLrCCOiuyOLzccXccBaS4ZpALu1D4e1n8yMPmwWN4qe0I9n5JHI16LAkpz3eVTey/d6H7rw/hFiEAGWLG8h1NYwftitHnoHnJSokYc97aKfYRGf0GzAC5s7a6lzTCKntR5n87k9qkBHL0NDfuZ4Ogj+dN3J55V7q8mwhSQHbDYf99z7IQBlZaGeMUeO5PLcc07ee28P3/zmQlRVobY2h6EhP4GARm6uFbffAhYdSI3a4gG2HD1MwcK4vMTkMT5Sbq+O5eCklFjOnHklW7e+ytBQB8uXR1fcNzaCG2+cwLPPHuTuuxNX/DPUV49BjU0OPVKOtZeR40i/Jk0jSL/g+uKX6fVl0ed14Op00NJagjtgwxs0cs4c2BHjIQSK0DCoPoyqF4Pei1H1YtR7MRq8GE78v0HvD203+DCoPlTVj6oLcFL09MR4M1fs4uj6KrZkLGDhwCdxfa1mOUR3o0JuTVyHxeHw0N8aXRq6ogAidk806IenB6+hp6iAgoMHqdq06YLHzPmb/402eEqTRr/AwasVt3H3yg/PecyECZ3k5/exYkWoOVt5eSZ2ewZPPbUdrzeAqoZu+p52/QwNHQyATk3/W/YxSfNpSykbYzk+KUZDUTJYuPCbfPTRY3Ef22KxMHVqJm+/3cPKlYlp0LJ3bz9Vxcntm9zQVklZXkNSzxkREmz6IWz6IUqt0cX6A5qOwYCVoYAZT9DMcNCEd8iEZ8CMSzrwBQ34pZ6ApicgdQQ1HUGpIygVxnJdPAYjDbZKDHk+soe7qGhtikv9xiUDH/HelhXcuiK+azhZ2R4aZQzrfHHw3na2ltNVUcKCRx9F9YeXTjzaYPT+fytpzJvEVbN2UVx8btXdAwdK0DSFnJxQnUtNTRZbthwjN9eKxaLn+HEXt66ZhqII1BPG4qOP0rBL2YUYH2saMZEUoyGlnw8+eBJDgiJI8+aV89hju+nr85OZGf9GTfWNglWL98V93PPR3pPP4ilp2EN8hDhcjFUliMPgwmGIXxaWL6DnpabVvBG4hrsqHqGkPvaMt1ytg15fBlpTE0pZ/NoY5+R46dWiL3iVUoQuUFE6wR2tRvZlXETB/v1hG4zRCJOgIXcyk2pamTOn4bz7Hj2ax8UXO3jllXdZtWo5ZrOeqqosDh/u4Z//OaRxdcMNk5k5M6T2oGlBVDU6ba6UMtK670tMUqJvwWArPT2DLFiQKPkPhdWrq3n55QSEc5KsbDtCUFMwGJIsShMu6bs+j0H1c3nheyho6IfjI32rAMsG3+WR301Gq4+ft2HI1KOI6NfKBCekREa3gA0Td7fg0Zrv0VA7C58tMnUF4wQDikVgvTEHRWhcvuTCCRG1tS3s3NmLy9XNgw++z4YNm3C5OigqyuAb35gCwGuvHcLna2XDhj/x8MOvkZWV4OYxiUKJ8DHOSIqnMTzspbLSgZLA4ji7PYPycitbtvSzcKEjfgOnQNk2nS/KQNJVOSPllabr+ZblCfIb4tdMqsZ3GNUd4JFHl/OtOw9iqo5dbfnwp2rIW4gGCf3DDh7KvB+/MJDt72Jtz1NhF5lv8c+iaO9eDEODVG3eEvZpjVUG3rrvbyjK7sSiepg2MbzQZGVlG5WVbfh8OrZvn4jbrWf37ma6uvJZtmwheXl7AAM///luLr/8KAUFWUycuCDseaUN4yA8JYS4CfgpkEdoxiPZU2G50Umxc0ajje5uDzLB7beWLKnmwIEhhobi11yho+UYNvNg3MYLBy0oEppsFDPJzQmImKtL3uAl/424M+OrT1bpq2el623+sG4yTa/GXqja3WuhUNca3cESdJrGHcf/wANNv6B28As2ZqwY2+uQ8JlxFk26U3Ud/YZMrN1dERkMAMMMG5kZg8xZ1IQxC+bOC78jIIDBEGTRoi9YuXI33/jGVhYv3sfWrT/m8svNXHJJgLKyblRVcOWVcxAirAzQ9GLEaETySD4/A66XUjqklHYpZUa4BgOSZDQMhgKqqippakq0rLjCdddVsH59/MJUe/YMMqUiiUV9QHNHMVn2NHbN07yJWrG1hZqMQ+zOmQ5xDouXBZq4p/cR3v2kCoKxuVxF+QMcD4TdZfM0NK9AkUE+zF4CwGzX53Sr2Tye/S1+l3Mv+/W1PJJ9N+9al/Ji5k3UGyt537EMjxZ6Q3oMOQTMkafAH1i+gsrqDiZNbuOa63ZHXXz6zjsXsX79HGbOPILHo6e29nZycyVTp7YxPGzCal1OYvO0E0j6h6fapZRfRHtwkqYsKC+fzuHD5+9pHA9yczPJzjayc+fZjYuioa1Dobokecq2AI1tFZTkpm/miOYXaf97vrL4LRq1ch7Ouz/uc1UJoiHQvugOrXFo0XnQZStsDGqReUMbjy/n0da7eKT/HiYPHeSy7lONkr7Z9ix3tDzBra3P8ZltNre2PodeC1A+3MjNHX9k8uABHsu7k5d9yxm2ZlC5ObLUZDVfpUUUs2z5/oiOG4vly/eRmzvAj398A9u2VQMttLT0UlXVgt+vAcmRB4o748PT2C6EeFYIsVYIcdPII9yDk9YKS6fLxWDQI6VMcL9vwcqV1Tz6aBwaNkkfSH9SlW0B3EN2Kgsic/uTicttx6xLbmJApCiKZG31MzxVtzYha0T5Wie/fXY2Rs2DqtO4/pZG7NMj7FKp6nCaBugI5JKnhqc20CoKWNP6LAoaJm1sXXS7NsC3Wp8E4NLej04+P6//U6z+AT7KXsSC//x9ZHMF9Jc7MZt88WlCpUiWL9/H3LlH+dOfZnP48O/w+00YDEF0OgGMo6ZLZ5LmaxqAnZAg+8pRz0kgrOY4Se2fWF5eSX19B1VV8UtbHAtF0XPVVSWsX9/KmjV5UY+jeRqTvwgO9LodFGVHGetOAj2uLGxqEjsYpiFXu16lXVdAYbCNZ+1r6GsAe4QheK2tn25PBVm28MKpzd1FDOpsKFowarkUizaMWXgjDjHo7AqfLFvDqms/j+q858JuH2Z42EBd3QB2u57+fjNGYwbjorXrWIyDinAp5d2xHJ/Ul5efX0VdXV/CF8QBiotzMJl0HDwY/SL24YNtFKbg4i2lSLp3Ewl97kwc+vQQK0wVClAYDCkQDykWymZFnh3w/stZTDYcRFUuvDbic6u861vB3cd+H5O+VravmwFTJrrpkem1aQ9MRdFL8vPjE/YF6OuzUFeXR0uLk4svLmDy5It59dVZVFePQ72p0aR5eEoIUSKEWC+E6BBCtAshXhRChK1+mVSjYTKVUFxcSGfn8IV3jplQw6aPPnIRCES3YLlnt5/G5lI27VhMb48jlGqa6Gt5+tqKk/QPZeIwxF/AbzwSQEHVaVAUWQpu4FA7hzsLWWbaeO6dgoSSDjR4cuAOSjzNGGLMQrBrA8zt+5S3brgPNYJ18MGyQqzm+IpBbt5cwxNPXMJ1133Gxx/3kJ09gzvumE9Ozp/F9TxJZaS4L5JH8nkU+BNQBBQDr5x4LiyS7AMKJk1azNtvP8fSpSWYTIk9vaIYWLo0+oZNHg/cfvkTHGyu5b0dyxn2hn5lqhqkPL+e2ooDOByuU5nOcUALpv0aM25PBk5H4pMaxgNv269h3uQm0EWwcKtJfvXMYi4zf3DuXVzwS+8PyPV1cFvG0xg0L8u6343DjGG+61NajYV8/oN7mPvQI3guUJAvlxRyVK0h3xFf7/Kaa3ZRXd3FH/84G59PT17e/6O728r11y9GiLC7j6YX46BOA8iVUo42EuuEED8M9+CkBw51Oif5+dl4vcGEGw2A6uoCPvusK/KGTYEBkBoGNcC0ij1MG5V2O+Q1ceD4ZDZsuwKPL5TCqNNpFOUcZ1LZQfJzOkI+XBRX/+OdJTgz0vuCPOi1kGVM45TgJOJHD4EIQ1OBIEJoTFH3hzyJUamXrr4MDg5NRvqhVDRhkH5+7v0hcz1RtT44Jzd2vswjxXfzx7/6JyYMHWTyr55DGzzdIx+8eybHLpnHgMdKvq2fa66Jf+r5pEnH+d73ejCb/RiNAdranOzf/0umTv3PuJ8racQ5fiOEeAS4DuiQUp6lhy+EuB34uxN/uoHvSSl3nWfILiHEt4CnT/y9Fgi7TiElq03Dw4P09UkcjmRoywhWr54YccMmT19DKOwwBhajh9lVO5ldtfPkc76AypHWGj7dtwDXkO2kwXDYXJTn11NTegST2XtBr6Tu+AQqCuLYUjQBaJpAVdK8wi9JXOt6mWcPrOXYz1ys+PNhsIUhsNY7iEHzsqttOpvVxRikj6xgL7MDO3jXsIxMrY8D9lrubv49Zd74Nn4azT3HH+WZ/Fs5mDGF2Tfk4H6qA2V5Lu5LJ2HyDLC7cAXTq5q47LJPEtoMLDNzGFAYGrJy7Fgh27bpmTx5Kzrd/Asem3YkxtNYB/wX8IdzbK8HLpdS9gohrgZ+A5zvzbvnxHj/SSggvvnEc2GREqOxYMFq3nnnGcrLE5tFNYKqGpk/Pzeihk2HD/VSktUU9jkMaoAppV8wpfRUzYymQXt/AUfbqnn5wxsJBHVIBKouSL6zncqiOsoKjqGo8uTdSXtPPgtqN0f0+pLOOFh3SRYqGrf3P8mGwHJ+8u9zWV2zhUm3WTivnofbS6eWxzbdPBQka1qfxa/oWZ+/mus6XqHE24JHMZ4zpTZebMuch8XqZ+2tH/Pyq/cw8fJ6mrwlZGe7MRt8fOea97FYEtF8XaBpKnv2VHDkSB4eTyiwbzBoOBxeOjutvPfe71ixYhwaDYi70ZBSfiiEqDjP9tEXjE+A8y5qSymbgOujnU+K8tqCsdVPRMFFFxWzZ08P7e1e8vPP8HCkxN2xk2ONLiZNdqLYp3OoLsjy2tjccUWBQmcbhWf0+fYFVOrbqzjYUMvmPZecvAYLIWnrKKB+RxWVRfWYsrxgJe1T+L4GVgxupMDfxpYDc6n/SQ8r/2IIxT6217H55VymufdwdccbGDglSnn/sV+f/P9EGgwNwZNFt2PRe7j5r/eBQ8/fTHqdbduquGziJpzOyDsJnhuBz2fkyJFCjhwpYGDg1G8vL2+Y5cuPkZl5umGqru7jiSemsnTpNnS6uXGcSxKILuU2RwixfdTfv5FS/ibKGdwLvDHWBiHEj6SUPxNC/JIxbv2klA+Ec4KUGA2/vx+DIdmnFqxeXcNTTx3gnnvOKBzyt/P7xyWlOf28+b6Dm1e8QHdvEZm2xGQIGdQAk4oPMemMHh2aX/C7l75DR2M+e+qn45fqyNTR6wPk2jopyWmivLAJg8MPFpK/6Pa1l3FOLvLtY4pvP0/J29jxtI+53x17P+kJYNP8pxmMZLKu+G4un7qL6m/5QITu8hUF5s+PtaBUh8tl4dChIpqachgeDo2t00mKigZZsKCNvLzzZ04OD6scORLqMfLEE09z550zgAR25Yw30YWnuqSUc2I+tRBLCRmNS86xy0gYZPs5todFSoxGc/MRSkvjKyYXDiaTmenTnWzY0MuKFaOa32geMsxublrwR1p783n5w9VcP/flpM9PGZZYlUEuN56dVePRjDQMVNDUX8Fnh+cQkCe+mQJUfRCnpZfSrCZK845hyxoMGRQD8U/FSnPdqVSjIJkzvJ197TOZy+k1Db66QZ55tAL8GmUycWsV5+OTzAVIoPpWL4hoXVgFj8dEfX0ejY259PRYTqr1Go1ByspcLFt2tgdxPqSELVtKGRxUqKnRYbM1sGFDOZs338eiReuinGeKSEFkQITUHX8HXC2lHHNRW0r5yon/HZJSPn/G8d8I91wpMRo9PZ0UFaXm7mHOnHIef3wXvb1+nM7QndCQqxu9LnQ1LHS2c/9VD6dkbr2dDszK2PIcJsXLZOUgkzm7d4Fbs9A0WE7HQD776i/CKw0IJJKQRpROp+Ewu8izt1GU00JudgeqVQMToTzxSAzL10bjglT56njPvxSGesCkwoAPHEY+f8tChauOy3pT01zro+xL2W2Zxm1XfQDGM26HpYThIOgEGPVomo6+PhutrU6ajBLmCAAAIABJREFUm7Po7bWgaeKkcVBVSUHBIFOm9FFSciymhfKjR7N4/fUy7HYflZVuensHEUKhqqqPd98to7b2tzid46R2IwUpt0KIMkISIHdIKcNpMfoPwPNhPDcmKTEa8+bdyDvvPE5DwwD5+Raqq+0J7bVxOoLVq6t58cU67rwz1BSqp2sIqymecdzoqG+vokRELlRoU4aYonzBKe/zdAKajjZvPi1txXzWejEuzY6GCDXxgRNxWIFe9WM3unBae3Bm9JBr68Ke1Y9iJWRgdKD5Rw74mnPhUcyoMgBGHRt+ZuBofykO1c00Rz0HLTVJNxoasCnrUvZZpvL9+96GHD1ak4f2BgtNTTm0dWfT7cpAMxnpkdkUFw8gBFitfrKyhpk0qZ+SkmbUBF0t8vMHWL26jqKigdNUewwGwbJlCr//fQN/+7cBxoW0SAI69wkhngaWEFr7aAb+aeQsUsqHgX8EsoFfndD1C4wV7jqRWXUNUCyE+MWoTXYiuB1M0adg5oorvoOUA7S27mfDhr2UlWVQVmbDYkl8iaTNlkF1dQYff9zPJZc4aGzyUZodU6/1uHCsr4xFavwvKKoSpERpoUQ9f+vTIc1MlyeXrsEsjnWU86pvFflKO3KUgQmio0vL4Zl938SsG8aqG8SmurCpg9j1A2To+8kwuFHV4NkS0CmxNclfhLFrA+RqXfz4n2eS6+vivubf0K06+cCzlCItCbI0CqAHTYWXs27ggKEWizJMjtrFk4/PA0KSanZlgCLZzCJlN9lqN4enLudQQLLq+uSmfFutfqzW09d3hoZUmposTJmyCik3AgeAs0oU0pP4Z0+tvcD27wDfCWOoFkLrGdcDO0Y9PwD8VbjzSZHR8AEKQjgoKlpIUdF0mpo+Y8eOOiorMygpiVAtNAouuaSSxx7bzcyZVpyZKu3HYu/EFitur5VcUwJa1oaJRRmmTGmiTA2lGrcF8rnN9PSY+wY0hT6cuAJ2XH47/TKTFkoYkmY80oR2sg/pORCh/yiKhkH4MCpeDIoXo/CiV/zoFT9GnQ+98KHX+dALP3olgKr40YsAihJEFQFUJYgiNJQTGi+nhUkEEG1nvBi5yvU6wxlGjunLAMgO9HJTW1gioqejciojRwFNEfQb7DSaK2gxFjGo2AgKXej9Fme/3xligDW6ZykRzRgU/zkvaK6CEt6um8P0aeGp7SaarVuLufrqeZjNS1CUDUjZiBDjwGikcUX4iYK/XUKIp6SUUWdhpMRobNz4GN3dw1x++XxsthyMRjtlZZdSVjaPjRufIDvbhNmc6KkprFpVwfr1DVw8IYgu1cVqkrRvozoaVdHIoZscJTYjF9B0DGINGZuAGQ8mfFKPDwMD0oYfAwFUAqgEUQmgIyhDF0kNBU0qSMSJxwinDEWflhnT/KLFhI81Pc/y0/x/GHO7y5JBfWYlFd4GXMJOpyGHXn02fbpMPIoRBAxixcbZasJm4aFAtDFDtwsnvRjwRV9sqdfRXlHLJt9ibrnlIIWFqQnTSgn79+fi8ehO1G2omM3foLv7Z7jdBsZFaGqE9E+RrxBC/BswhVDgGQApZVjaLSn5JJYvv4cvvniLJ5/cSFmZg+7uIYqKbKxYsYLa2qkcPVrP1KlZCZ9HVlYmhYUmXtpYwr3L30z4+c5LMjQcI6DX5qDVU8iGzBVkil6ylB6yRTcZQRdKgJCz6CPm6I+qBHHgwsEFBJCi5Knh83r2iUGGNMR2GC4mIziGKqwOPs+bRaOhnN3W6eQo3WSLLspFA3NFB3Ylfkqy5yJgt+LLzmK990aGug1k2LwpMxgQUhloarJhNgdYsOAmjMbpfPzx93nvvVJ++EMnQqxI2dwiIo09jVE8Smhd5D+BpcDdRBA8TpH51jF58nIKCsqxWh00NOylt7eDLVs+5pJLbqa7u43Nm1uZOzcfvT6xZnvZwiD1X3SS7+xI6HkuhK9fRSfSx9XYr7uIS6Z8TI6jk56BLI4OVrNzeBaewIniLAOnWqmOeElSYFB8WHVDWMQgVuEmQ3ExqffwuPKizslImGiUrLWmgE9nwIOZzN5QXU9/0M6DBT8ABFn08NSEtWf9JAOoLNJtZoIuuV0hAYbKSnisby09h00snN/CshVnZ+QlG51OMmlSL8PDNgyGPDZv/jENDXb+1/+6DyGKUz29yEh/T8MspdwohBBSykbg/wghPiJkSC5Iynw+IYw4nVMBmDjx9Kr3adNuoL//AJs2bScY9DJ7di5OZ+T9jMNBk0aM+kRIJURGfWsleUpqDddo+oOZzMz5jKLsVqrD1MLSNBjyWukbcuAezmBg2MaGw1dQmN2GvTPxd89j0SccvF5yLRKQCDQRCmkF0SGFICh1BEdW6QUwOqNshDPvweSoDQJUEeDwUA3XVbzCjIbdmK3DKGjcr3+IHDXNhB2F4A/9a5k+rZO589owGNLHmu/fn0VXl5kXXngNyOMf//E+hIiuh3rKGB+ehkcIoQCHhRB/ARwHwu5Wl6aBQoHDUcuSJbUEAi3s2LGB+fMTYzRUazVG43bae/NS6m00dZdTnYK7znMxELCRY++K6BhFAZt5EJv5VOOrIy0TsWmp6/Jn0Q8zM/czBBoKEkWEFtB1SjC0SqKEVkxibXrV6ingzfarmMFunnB8C7P0pJ3BcBWX8oe+28h3ull8yfkz6VLBtdceRUr4l39ZxAMPGMefwRgh/Y3GDwmV/z4A/AuwDLgz3IPT1Gicoq+vHa83gMvlw34OLZ+YEIIJFQYOtkxOqdHoGsxlqf69lJ3/TIIoGPSxy1xIBEowddojeuGnyJTYNFd3wMJzrbdyp+cxACwMUaWkUY93vY724ok83XoDa9d+QX5+mi2gEVoI7+42IaXgyivrcTrXpXpK0TE+2r2O6Oy7Ca1nRERaGA0phxDCMsaWANnZtWRnN/PRRy1Mn55DaWn803Fzc83s2j+By6Z+GPexw0ULClRjGsmNx+mLLyUprSI3Cw99PgeZCew0+Pjxb2NT3bxuvRZskjZ/Id9Qn03Y+cLGpPJGwW20uHPQDUnuu28XFksE3zEpIRAAqYEhMW0MNA127izG7TaSm1vK3r2tXHvtDQk5V1IQpK1UlhDiFc6TuiKlDEv5NuVGQ0oXP/nJL3jggW9htVaM2hLgscd+ydKlk5g69TqmTPHywQdPY7OpcV/fKLvoaiqP/I739i5j6UXx6Y4WEanRrTs/cSpvEEKm9PUV6VqoH65klmHnhXeOkjuKHwckFmUIDYV/rfvf9FmdZPtS20zrpby7sWVp3Ltm77l3CgRo39tPV5+D7l4Lvf1WBocMIDWkFkpkPuYqpbboKNd/uwd08btkBIOCDz4oZ9aspTidtwAqtbVxGz51pK+n8f/iMUjKjYYQdn70o/tRlDOL61QWLJjAiy/u4oEH5qLT5XLZZbfwxhtPctVV5eh08flkAoONrH9+K30DmVwxIybxx6jRUrNGfG7iWZQvSKmnUaY0stMzm1mOxBkNmxpaw/EEDTzc9Odc6viIbG8KDYYQ9NTWcrzJyffXnuN1axp1mwbZ+OlFeAJmZhbsJMdcx9S8Npym3tOKJA921dAxVMC7zztYdl037u4gTQ02jrc46O6zEghAjtPNylt6UUzheSR+v8IHH5Qzb9712O3XxOFFpwlpvBAupTx3f+EISLnRANDpxu7fPWnSleTklKEoIUVcRclg4cLL2Lp1G4sWFcR+4kAfT/7hU2ZWbGfGgt2xjxclnZ152JXULRafhZH4psim0GgU0EpfwJGUc3X7cugPOLgsGJffZtT0FpXzyMEbWbbkjCZiMghykCPbBJu31jDos3Dn9HVYDGOLZI4wKecwkzjMw9u/S+ujDgyqn3xLGxPsn7N00jFUJchnbbN57OGZ3LjqAM7qC4eQN28uZdGiW7FYlsXyUtOTNPU0hBDPSSlvFULs4fQwlQCklHJ6OOOkhdEYi7ff/g1XXHEL2dkzTns+K6sWVd3D0JA/Zp0qT+9uPD4dMypTZzAA6juqKFHC7xKYaDSVUOFePEhx/w1FS84UhgImftd8H1Nte1Ej7RkeLxTABsPZBkrVdnRKG2+/mUFvrwWfT4eiC+DxGOnrc/KXM3+BQY3Mmt8/59fn3Da74DMmZh3khVe+wfRJzcy+Es4lfdvSkkFBQfmX02CksacB/ODEv9fFMkjaGo2BAR97977BtGm3n7FFMHXqHL74YgsXX5wb0zmOHumgwJk6racRjvcXc4X6dqqncZI+nROLMf0ybKIiSWUIx72hArSbgi8k5gQn1pgCKPSQTWduLn0mJ53+XIaCFqTuxPoRoHUoGE0uBt2D1FQdobjoOAZDaGHpP3751/zZZb/FMBR/989mGOSumet4s+4qnv21k5tva0Z1mM/ar74+i0WLbor7+dOCNDYaUsrWE/82Aggh7ERhA9LWaCxfvpyPPnqfadOCnPkpWK0FeL2x3c1p3lY+2GrgzqVjdkZMKl6/AbspfRY2OrUcHJY4ZRulQac/kYRJFBuPoxN+FB0XDsedqKDXFHArGfRJJ704cEkHbpnBkLTglYZRu59QGRahJk9WZYij/RUsm7mRyQX7cTp7w+pn4fEYUNUAAS2xP/urqt+kqb+MdY+sZMUlB6iYY+Y0zXMCCFGZ0DmklDQNT40ghPgu8M+ExItGfhwSSF/tqXDIzKxl1aqxUyl8vgGCseT++5r57//axSW1W7AYzx/PTTgaaSex0as5ybTFaSFX+2r03ni5+QYyGOCL/sm4pRU3djyYGcKMF+OJ3GNO/kSHhZluXQ4TTEewKYPYFBfZSjeVylHsOhc23Oc1BK84ryc7q4fs7PA/J5PJx02rXuC5N9dgtbipLTjAHFNikj/KHE3cNeNRXtx2C/v3eyi8KIPBYSNSihO/3cQU66acNPY0RvG3wFQpZWTVuydIW6NxPvr6WrDbo5/6UN8R9Do/s6o+j+Osop1M6E4ynejTspiScZ40zTDRNJGUu/yUokF9UwX13mpmeXfQIfOxSjdFwePYNDcOrR8Lg2PefD6acRc3Gf8YVV7/PMsnfLJ9ITesiqwtcUlJC/d/52Fa2/N54+1rmVB7mExfYmpYVCXI0vIPeaduGbOz51JQ8V1CL9abkPOlDelvNOqAqNUpx6XRsNnyaWvbzowZF953LJoaeil0tsV3UlEy1GvGINKrUMPlt5PniL2vwsBwBkbdl/sCcby5iD/472KW7zOuHn4romON0ht1PUx+TwcuNfoeMIX57dy06kVefuVG7qx5LCHe7qDPyhc9s7ntvp8iTKNFB7+kXgYkpHNfAvgHYLMQYiujLLiU8oFwDh6XRsNiKSInx86mTS2EGvkoOBwGsrIMZGWZMBjOb+oLigvZ+LHKzqMzmVmVuPz9cDjaVkWBkoRubhEQQMVkiP1iP+Cxoeq/3E3FX3NfC3q4fuhP0Q0Qbfx7GHS2ID6fisEQ3XucmdlPYWELr3Vdy7VZr0U5kXPzWdt8Fl3zP84wGF9yxoGMCPBr4F1gD1HcLoxLowGCiy/+JqHX60HT3PT3d9LT08GxY134fB6ECCIlCCGw208ZFJNRR2ZOATMnH6DHnZ3qF0JTdxnTdbtSPY3TiVG8bwS72cWxvhL259UypesLNLNA8aW2QjzeVIp6Jg3FIC0eQ2SyxnqEnbtnM2/Op1GPsXLFO7z40k08c2wN11S/jt0Xn4SMfo8Dqz0Hfc7lcRlvXJH+4amAlPKvoz14nBqNERTAgqJYcDrzcDqnUl09sk0CHqQcxOUKGZR9+7ppP/oOjcfBbDDx7SUpkAw5gz6PkyJ9mimOxmmJxW5x872rfsW6d+/mA+VyeruzyM7o4rvqb1Ja8BcvmluL2KNM46ZAFG1cR4jhvZ7B57xQd2tMRgPg5hv/SGtrAU++dju3z3wyLoaj2V1F1bTLYh5n3DE+FsLfE0LcB7zC6eGpsGSZx7nROB8CMCOEGYcjB4ejlsrSLp79/Dnuv/K5kzntKUWGinSVxGjBRUecvxGKAveseBQILYw/9t5d7MyfQZGrhbyeJPSjFiQk7bfheDkvDawmL9hBRaAx+oFiMBqGzgCaNT4WvrCwjW+sfp4n19/OzMpdLLRsiel9CwQVpEyD31gqSP/w1G0n/h3di3j8p9wmBF0W82Zk8MG+5cyZsAWbafDCxySS1Pd+OhsjCautUBTJVbNeZ/OBxWzqX4ze4MeiH6LI0sqgz4pVN8iyntR7f+GwtXc+/cZMftj/89RNQgOzMkxvrwOnM/YMqJzsbr73nYd54tnbEfmSBYZPIh5DSvAGjXQMFTC9YnXMcxp3jANPQ0oZU5HMV8toCIXKub+lZNImtn/4b5jVDmaUb0+Z16G5RJol24JmEIgEJjwVZrVz86JQOEfTBIdbajjSWsO0Sbv54yc3U5zbTEGgDU0InH2jLoQmIMUlNSN0dzk5ZJjEJcMxSunH4cOfZf2cbTsWsHJFZJlb52Pppe/x6BP3UL6ynsKh9oiO/bBpKd6AnnmX3fLVWgAfTZp6GkKIZVLKd4UQY5bjSynDirN+tYzGCfT2xSy8dj2dh3/KuzuzmFa+izxH8lNwm9tKydalXsZkNO0ijwxLcqrTFUUyqeQQk0oOAXDtxa+y/pObsBhDKeQ1uQfpcBcwt/RT1u+6iesn/4kmVxnX9r8WyoHIg6O6SryKkU+75jEz53P29E0nqOlYY3sGU6cvbuszo9ENaNi0AZYPp94rqhioZ/PAoriOWVzUwr13/I7n1q+hpuQIVxW8gRK48I2VP6ine8jJqjV/jz5rblznNG5Ib0/jckJZU6vG2CaBr43GeRF6cif+L5aVH2X3x3/PkbYO5lZvQh+hiFssNHSWU6rEEA9PAB0yn+yM1BiyScWHuO2yp8hztGMyeHn8/W8xHDDxyt7ruWrWG2xvvBjXsJ1n7GswG4b5onkKefZ2/EE9y6ZtZF/TNCoL6snO6Oa/tj/AivJ3mNmzK4YypjHww2999+FNk4UoZQCwhZoZhSMlEi6FhW385f2/4J13V/Ly8RtYnf/SBY95q24lK6+59atrMCCtjYaU8p9O/Btxt77RfHWNxgmEsYoZy57F3foEm7aYKc2ppzo/hhTKCGhzFzJPF1vmS7zpDuZQ5kidISvLPaX2e8eSJ3B7LNS3VTGtYi8XT/gMgG2H5tLWl88Pr/sPTIZTC0M1Rad6rBdltbD+k5t4172coE8hoIWuqKoSYxWbD4aEmRVD78Q2ThzJN3ZQV19NTXV8e8wrClyx7G1+/qu/IlCjoLrGfu88ARObmy9l5vQp2MrXxHUO444EFPcJIR4hpEzbIaW8aIztAngQuIbQLdJdUsrPzjPeD4BHgQHgt8Bs4O+llGGppqZp9C3JCIGt6A6W3Pg0wrKU9/euYGA4/m1lz8QfUDEp6VUx3ePPosCZPsWGNtMQ0ypOlzSZO3Ebq+a9eprBOBO7ZYA7lz3GX1zzC2zqIP9a94/8a90/8m5XHOS4hUKjviIO48QndjbX8Cm7ds+Ky1hnoihQU32YrZ3zz9rmD+rZ3zmFjfVXsPiKP6Nk/k8SModxhy7Cx4VZB1x1nu1XAzUnHvcBD11gvHuklC5gJZBHqE942B/eV97TOA1dJlVzH6Js8ia2f/hTVLqZXfkJSqx3p2MRBJGGKYleacBmimc8J7UY9AG+d2PoN1R/qIIjjTWxDWgGe7APt0j8TUW4ZHb34zEmLlx26cKPeG79rXQ687kx71SYqmOwgC+6aln97Z+iWKvPM8JXiARUhEspPxRCVJxnlxuAP8hQjvMnQohMIUThiBT6OWYJIc/kUSnlrhPeSlh87WmMgZqxmAXXrKd6yq28v+8KGjsS8IMYTD+hQgARp2rwtEKEHjpFQ8b6lVfgCu0d+nTOmIYJ3YbE6b32hW5AGhrL4zPeGWRm9nPf3b+lozeXBrUMgKCmo6G/iounFn5tMM4k/p7GhSgGjo36u/nEc+dihxDibUJG4y0hRAYRyIl8bTTOhdDhrPwBy1Y/js+wjPf3xTdk1dPpxKKkYaOj9LNjcUMRAYKaOCVHrwHBsx+aH3x+lSGPmb5hB+2DeTQNlHG4bwJ7eqeyQb+Ci4it22MAPbo4qgTe4HiZ9z5IbCe8lcvfYmvDAiTweftcaibPpuLSXyT0nOOOEU8jkgfkCCG2j3rcF8VZz+R8dyT3An8PzJVSDhFahQl7cfzr8NSFUHOpWfAbKgc2sePDn6CjJy4hq/r2SopFc5wmGSf0pEXTpEQh/BoH3JPp9ThH/czGtpI6guhE6KESwKj40OPDoHgZFhb26KZzDW9GPRcfenQifm1hbS2DZGX3sGvPdGZMS0z74oqyJt79YAUPfv5DFk4+Qt7F/xa3dZkvFZF7D11SyjkxnLEZKB31dwlwPm2ihcBOKeWgEOJbhBbCHwz3ZF8bjTBRMxYz/5qX6G34L97fnkF1/hHK86LPVmnuLWWx+nEcZxgHjKRdQ6h4ouo1asxHuM7xakzjBDSVNn9BTGP4FCP6eCo3Srja/DqPfnp3wowGwF23r+OZF75JyZTqNNO/SRNSk3L7J+AvhBDPAPOB/vOsZ0BooXyGEGIG8CPg98AfCNVxXJCvw1ORMDpkZYwty8rts5ITbWGfHrAT99S+BHcBTTmKLogmY//KV5oaOOCtpSMz+h71XgyocVZtVPv8uNx2OrsSp97c0lqI2TxMcdnXmVLnJPLw1HkRQjwNbAEmCSGahRD3CiHuF0Lcf2KX14GjwBFCKbR/foEhAycWzW8AHpRSPgiE3ZzlS36ZSBBqLjXzf0vllFDICq2f0uw6cuydGNQw7h4lCO3sOFCdrKXVl43QGbCIIbJkG1lKNzYxcFoU4DfafTAINtPAyZCSKoNkG7op0LVSpBzH4e9H8RHSsAwz5NSnc2IxpuE6S5xQFC0uyQdF+uOA4GhGJXl90Yku+hUj+jgbjeP2EoqV4+TmJK448+XXbuSeuypAfIkbKcVCAjwNKeXaC2yXwPcjGHJACPEPwLeAy4QQOiK4Bf3aaMTASMhquPN52pp3sLP5GH5vN0gvCD12cz959mayM7pRdaMuEOdo8doWLGTxrX8D5myG2w/S03qU+vYm3K4+8PYhNT8oega9FqaW7+OKme+cNCYen5Hm7hLaegs55JrEcMAc6othAakJkGASXpz6XrKVTvKUTnLpRPUHQ4bFB91aNg5rYlp/pgM6ocXF01CVIAutm9g8fAkLdJ+GFtAjxIsBfZwVKwcUGw67K65jjiYQUBlwZ2A0TUnYOcY946Nz3xpCSrf3SinbhBBlwL+He/DXRiNWhA5z3jepzPsmJ6Ujg/1I7z4GuvfQ0XqAhqZWAr5ukB4QBkzDLoKoeKUR42h1QM2PKJwP5mwshfOxzAytaJ3EPwj99czv3s3exjo+r1/A7KqQEqnJ4GVCYR0TCs+9zuIastHeV0Bnfy6fD5bhGsogqCkIVYIeXP12lpa+F+93KG1QlCBaHCKyHs3IIc/E0EJ2lGtAHmHEIOKrwPh512yWrUicHpaqBpg/5xMU3T8m7BxfCtJURmQEKWUb8B+jniojtBbyh3COj8hoeL1ejh49GskhaUVWVhaZmZmJP5HOgbAswm5ZhL0UJow8r7mRni8Y7PwUh7qHPT034x3sRfgGQOgIKCYwnycerbdCzkWoORcxc+ItvP/idUgpwlbptVvc2C1HqCk6EvNLHI+ouiBSxh6e6g046Q7mcq3llaizzbyKCaOIr6dRaGmj8VgZhYWJE98MBi0gzAkbf9wzPtq9IoSYScjbuBWoB14M99iIjIbBYKCoqCiy2aUJUkoaGxvR6XRkZIS95hNfFBvCMhdb+VwmjK7D0oIwcAyUCD4OYWDi5FlsPexhbvVmdLr4pW9+WVGUIIOaJeZxhjUzBuFlTuuOqMfQySA+DDHPZTRL/O/xu33fYcG8xOiZ1dVPpKAgtqLGrwRp6mkIISYC3wTWAt3As4CQUi6NZJyIjIYQApNp/C6AVVdXc/jwYSorKzGb0+huSdGBoyLiw4qm/hiD8ae8sdXB1bPe+NpwXABTrg+D4uOzwdnMtp5Tz+28HPOW8Hj3t3lA+3lUaxkjFATa+Fy7OPoBxkBxSUy2xGmZbdsxm1u/cWnCxv9SkMYqt8AB4CNglZTyCIAQ4q8iHWQcOFLxQ6/XU1VVRX19PT5fOrbNixChI6fmf7J44UI+Obw41bNJfxRYs+wZtrmjq6PSNPjQdRm3mZ44vUFUFORr7fRJe0xjnIUhJIKZKOz2fnr7ktNrZVwT55TbOHIz0EaoR/hvhRDLiUID4iu3EG4ymSgrK6Ouro6JEyei06XvbUG4OKv+jrzOw2w74mPuhMhbdH6VUGJQgmkNFHHEN5E1wWdinwcy/tX3fgjqdbjdVmy22FsZa5qZdU/dj6JolBR30tnpwGRKXA3Il4I09jSklOuB9UIIK3Aj8FdAvhDiIWD919Lo58Fms1FQUEBdXR2alpwSaCkl27duTczgQkfN/EcI4qDLFX3B2VeFmowjPNMded+HLQMLydZ1ovbH5zsjpYjNcJj0kGPHU1LC0eL5bMpbTYZRx5PP3xuX+bmHigkGddxySz1mi4nikiAtrV1xGftLy4jRSK5gYURIKQellE9KKa8jlKC5k5AWVVh85TyNEZxOJ36/n4aGBiorK4lAGTgqhBDMmX92T4I4noD5VzzEW3/8PlNL91Ga03ThY76iLFv6Lg/96f4L73gG/UEHBiV+YU2BhACn5/UrArIzCBhNdJNHVzCXPs2BK2DH7bfgl2poH50CEmQA9B6NrGwP+QXDXFHYzksvVeEeLMFmPVPbTDlxMj0IlUDASL/LycCAnf6BDNxuO263lcFhC263idrJDeh0GjZbgMWL2/B6FT75REfNRMmXWtkyVsbRrbiUsgf49YlHWHxljQZAXl4ePp+P48ePU1JScuED0hzv/C3fAAAgAElEQVRhrGTl6p+z9Z2/4Hh3CfMnbv5aT24s9FBua+LZ7ltZk/1c2Ie5NRvf9//3+XdSOHUHqcH56vekEGg+UEYZjV1FK9jUMousTA9Wm5/MLC+ZTh9lmcNkZ/dgsVzYy1m0sJXHn1mLwzHMSV34kxf5U66NooDZHMBiDmCz+bFn+ikt95GZ6cJiCbBuXe1p3x+jUUNRgkA7EJv21peW8VHcFxNfaaMBUFxcTENDAx0dHeTl5aV6OmEhpTynZ6SYJrLwutfZ+/4a9h6bxbSyz5M8u/HByvlv8vCG70V0jE8z8oTpDgz5Xvj/2zvv+Laqu/+/j5Yl27LlvafsOHYSZ9hJnOEMQkIIK7RAmS2jhZbysEpZv/aBp5C2dAFPKdAyHiBAKQUaAiEDQhISspxFtuO995ZlW+v+/nBiMolk63rlvl8vvV6WfO85X9nS/dxzvgsBJ/JjziHMpbYkHm/67TnH83V10eYIJIhvneoWu5H4uHYuv6L/K8WMca2MTW8dcM/w8eOaUatPFanQ0B7q69cRHv7DgQ0+WhnGPg1vMSxFo+TQAXyMAUTHy9NU5mSEECQkJFBYWIhWqyUoaHjHoXd1deG02/EP+I7IG6Fh/JzX2bLyssEzbIShUbtweHhL+LPw3lWGr6oL1XmaVdXYIniv+cbvPCbU2UC1I4Yg2qhwJBChrmZW4wpWhd3Gx/9J5KqrSz2y72QGKhgAOTPqznhtzJhGtm3bRXj4LShbVOdglIvGsNt9s9vtlP7zFYqf/C+e+/3v2P7pivOfNEBUKhVms5na2losFovs8/WX2qoq2ltavlswTqAOxOEKoMs2cvNq5KS91Z8gTYtH5/hrrPhrrOcVDIAdlhyS1d9dOj/cUU+9MwKHpOGb7gnsts8Ep4tLXR9S3zjwJEQ5UKsl1Ooeuru3DbUpw5P+NWEaUQyLlYa1s5NP//0vUhMTady1hVmrX2Vf5nx03Raat67n84Y6fBqqkKISmHuLdyJDTketVmM2myksLBx+yX/HiYz5rg6OZzI990b2bO1i1tiN8hg0UpHg8/2LmO4nX3jynICveL3hDlw6OJfvPMZRxQFpAm2uAOL9LdR2GZAkQAhaWnzo6lJTWRlIXZ0fQgh6IyVVSJIdSepEqxWkp9cREHD+ysqlpYE0NPjicqmYPLkGna7/EWDp6fXk569h4sSZ/R5jVDPKVxpDLhpOp5OvX/oz2eveJrCjiUmWZgQwbc86ZuxajUsIrD5+GLs7WPG9hyg9eoTIxCScTid2u92rtaR0Oh1JSUmUlJSQmpqKVjuyPVqGwKk4nP831GYMP7qhpiuK7wd+JNsUwZoWZvtvYZXmcpbUruZr/SwChZUOSU+VJoZIZz09aGkXgayyXMYkUzUaqYcPLddgs4TR06Pm0KEJxMaOISVlLkIkcOp2kA2bLY/9+z/Gbm9j4sRafH3PXmrdZlOxY0cYixdPQa0OJS/vcySpi5ycKjQaz2N+TSYb+/bV43QeRa0e278/0GhF8WnIh7Wzk5rKSgrWfsysf/0RY/ep20IaV+8XQC1JGLt7s1AvXflXPrbZMPZ0onbYMLU3UjlhNhNyLyJ1Wo5X7DIYDMTFxVFUVERqaurITv5zebb9cqFgbTfgq7bKPk+OcTsvWn/GUb80Ggml3eCHH90kGf3Z1BLPOIpJN3axpzuYJkcH9Q49k8NbMS/4GZq4XBDfddOiQ6ebRXb2TDo7v2DnzhUEBPQweXLNKRFPhw+HUV3tQ3q6lsDAHwEwa9ZlWCyfsmnTKubPL++X/2Py5Dr27HmFqVP/yIjcY5GTUf7nGDLR2PLGy8R8/k8WlHyD1uVeMxofRw/XfXpqI/spe9dRtP1TVqVNx6iScKVNZOy8RRxcsxJrVxc5V36fcA8d6kajkfDwcIqLizGbzai84VUcCnTjcLh8cLpUqAfY03w0oVK7vFLt9ny4JIFauMgPzODKa+9CODRgbaahLo9fXvQktFeDRs+MwKgBzCLw81vIvHk5/O1vy3C5nGRl1XPwYCiHD5sIDtawcOHvOT0O1N//MjIzW1mzRrBkSZnHswYG2pCkDtrbPyEg4KoB2D/KUFYa8nDgqw0kf/EuKUX9Kxp3MhqXk7Sj20g72uuYa9cbKflkErn5O9A5bOw4tJ3ypbeStehSjxL4goODsdvtlJWVkZiYKHvynyyojSQlRFHVFEt8mGchnF02PVvz55CdvGPUNWbSB/Zgk+Ttb+2QNLzWcAeTfPeyq3MqL777CXOiSpl0x8f832928XDUS6gz7/fijEbi4ztYtSqRL7+MISiom/p6Px58cDJnTxwQhIXdTHz8EbZudZCd7bmfIyurmk2b1jF//myEUMqL9DFC7zHdZUhEo3bfThYWDlwwzkZAdwcTD23ue56z5d+UVBxmbUUZi3/sWVx+REQEFRUVVFdXE+OhE3q4kDjhIdavrMPf0EGw//m3qwpqxlJSF4eEjmmTojiQr6ar24Fa5QQETpeG3PRN6HXebSA0mBw9mIZRLV+HOwA1Dsbqj1Jpi+P2sNf4Q82j+Nh7y8iocEHn6dnaA+fyy3/DkiXNNDZ+RknJQXJyHgVCv/Oc8eP/h5aWt/jyy10sWFCBVuu+cKjVEhkZjezZ8zuysn7HqM9qcwcVeLni/bBj0EXDZrPhU1cxqHMmlR2ipqt/F4nY2FhKSkpoaGggLGzk1XVSGdKZf9kTfLXmKcbF5hFhOneDHptDy8GydK6++R+g6b3YzD7h53TU4ujYSlvVO3yxbwFLpnzmVujpUCKdyL07aZFoa9PyVckcbg99ve+1HpcOnbCdNXveIanZ1zUVJAdp+nz8VR1uZdkLAXMDNrGieSnvNt5ElLaa+PmP4Shdi0HVhTrrqQG+u7PNGYJaHUJExH1ERLh7loagoFvJzGzh3XcNxMRYmD69DqPRjV73QGSkhebmJkpK/kJS0iP9tn1Uoaw0Bo50/Nvb2trK7n++wcw1IyeiRwhBYmJiX/LfoHT+8zIa/6nMu+wZvvzkISzdBSSGFZ+198ahiknMnzujTzBOHSQSTdD3CDFdTWjJIrbmz2Z2+uYzjxsmFNakcqQyjZToctJj9gPgcqkoa0ig0+XH9s5ZqHR+uFQGfPQ+dHc0oZZsjNfvJkD9bfnvzR3zSPHJZ1PHPKpt0aTqC0g3HHHbjnZXAFG6Gpbc/Rr4RiJ1N3PPz5NA5+Wy6ANCRXT0vVxzzRfY7dWsX7+PpUvd79CZkVHPtm1ajMa3CQ29WUY7RwjCU6fGyOqDMyii8Z8/LSOipghT5TFmF+5Bbx9ZWxsqlYrk5GQKCgrQaDT4+w+gvvYQoTKks2Dp3yk//FfW7T9E7thN+Bu+jViTJEFpXSyTF9763QMJQc6Sf1O4/Va25s9hZtpX8hreD7ptenYXTSE1to2y+igENjq6Qumy+5GYPJmbYlyEZ/wHfIK/PUmSsJV9zsGNr2FtrUUlVCCgzWHkA+u1hGvqMaislPYkUOeMZoph5ynicjrbO2dic6lJ0JXR6jRRv/0FwjMuQYTPROiDz3ne0KHFz+9SQGLKlCfYvTuKrKwat8/Oyali48avyclJwGC4kBs1CTy/rCqicQotTU1EVBcy64s35Z5KVjQaTV/yX3Jy8ojsYCh0sSRMeobIxI3s/VoLjnpy0rbicGpYu/cSEmP9QOPGFpzaRMrMD3Ftu4XNh+eTm7FBfuM9QKfpzaZzORrYcewK6lojuWbpRfhF3nDuMFYh0CUuYsqti8BhBUs5zpYC1FGzkLobKNn8MtGZd6APG0v3wVd4+4skfhz+6ilDuCQVgl6fQJ0tFIekxWwoI8GnjIL9TazdWc7M6GUkX/MWwne41jkTxMffQnHxnz07S0BmZh0HDqxm2jRFNDxDvm6LciC7aNSUFtOl96dHo8PHMbK75Z1I/isuLh7RyX8+pnnkLMmlcMftfLA1GgnBovkTCEz6tfuDCDVjZiynZ8M1FNSMITXqmHwGe4hK5SLLvJd3vrqR2y8/TNyU9/Co3K/GF0xjUZt6HTpCH0zyFc/2/dpi0xKoaaPSFke4phadys77TddxpDuDIHUzl5lWsc86hV9dG4nF2sOhvA2EaAuZ6becv1f8lGu2PkPoxZ5dlAeXwDMKFbpDa6uBuLg0GewZSfRHNEYWsr+7jKypxCansDV1HBnLf0dE4+A6wb3NqEn+E2pSct4kZfIRHNZDaEzf69cY43NfZNPHNw8r0ei26alojOGHi/KIm/IfzwTDDUJnPsxVUaso3x/KxpJSyrpj0au6efQKf/7+WTP7rJN4/LaZqOMXEgjMnPBDXvvLQ2x0zSZJX0rojFe8ao/30eBwL3XqFKKjOzh48AhRA0k7GRUoojFgAoKCmHfbT9kZEIjttaeJq3TfkTgcOZH8d+zYMSIiIoZF8p+Pj88562UdPbCfsRMyz3FiOhqf9H7PK7RRSEKHtceAr09Xv8fxFq2dJnYVzWDOwl+gC1ogzyQqNTrzlaSYryS5cT9blt9DxtQl+Ex+kHtC1qCKmQ+ak7YvNb4k6iu56JoHEGFTYVj6NL5FkkrRaj3/TBsMTrq6WrHbD6DVTpDBspGAPCsNIcRi4Hl6UwdflSTp96f9Ph54EzAdP+ZRSZI+87ohDKIkCiGYfs2NbC48TNw7ywZrWtkIDg6mrq4Oq9U6LFYb1dXVJCYm4ut7ZnXUcwqGl5g240rytjmYO+4LWec5H+UNiZQ2pnPRFX9GZei/EHqCKjSTOQ98GwygSrj0zIPUOhY8sGZQ7PEGZWXrCQnpX5mVrKwaduz4B7Nn/wEYfkU/5cf7oiGEUAN/AxYClUCeEGKlJEmHTzrsV8D7kiS9JITIAD4DEr1qyHEGfR1lyprF+s77qLNLxDWVk7td/tLncqHVagkPD0enG/psnuDgYIqKirzupC/Yv4+kjPFoNOf+qPhF3IC15xPsDi1ajXvx/f2hxRKE0dCORu1EkgTieBOkFksQe0umEhMTT+7lTyG0Sle5gVBZWYtGo8Fq1ZyzCOK58PNzEBHRRlnZ30lI8GbG+0hBAF6vNjANKJQkqRhACPEecBVwsmhIwIk47kCg2ttGnGBQRcPpdDJ23sWk5s7nmWeeIUx97kQzBc/w8fEhMTGR4uJiUlJSvCZkkUnm86+k1CYmjw9j85G5XDRBvtXGf3ZcjV7bjcmvlQPlEwg0tJEedxh/Yyhzl/wKtd9k2ea+kGhrc1JcHM7atQloNC4efniPR5niqalNbNhwlISERs6XkT76kGV7KgY42RlcCUw/7ZgngXVCiP8C/ICLvW3ECQZlM97a2cmWN15mx0O388nzf0Cv13PFpYvZGpWBVXchLmHlwdfXt89J7+iPJ/MsGI1Gt+puRaY93pfEKRdXT/+Izh4/4sPK6LYZCAtsYOb8+8ha+IEiGF4kJyebrKwGMjMbiYhwr+nU6SQnt3Ps2D9ksG64c0I0PHkQKoTYddLjzrMMejqn/1NuAN6QJCkWWAIsF0LIcn2XfaWRv20LmzZuYNquVWQW5PHGdb9i56cr0JmCSNQJGsLiSajKl9uMCwaj0UhUVFRfdNegOel90vA16KlviyA88Mw2oQNl7d5FWLr80Wu72HhwHo/fk4g25Amvz6MAISE3U1+/na4uDbNn16FWey4aCQltbNhQgdlcgFqdKoOVw5V+rTQaJUnK/o7fVwJxJz2P5cztpzuAxQCSJG0TQujpXebVe2rM+ZBNNHq6u9nx/nJiPnqJO4v29r1+8we/x/EfNR2GAMZ2tqJ3jKzElpGAyWTC4XD0lXYfrAq90y5axua1v8bu2EdMiPdCq3vsPrRZAzlSOY5pqdu54aafoTEqXePkZPbsKN55x0JaWlO/x8jKqmHXrpeZPv1PXDj9xGXZnsoDUoUQSUAVcD1wegP6cmAB8IYQIh3QAw3eNgRk3J5qrKrEtfdrQmpKTllH6Zw2fG1dRLTVKYIhI6Ghofj7+1NWVib7ttEJ1H4TmbvkGfaWTMTp9E5EWVHtGJZvvJkjleO4/8YWLr1xtSIYg0Bo6L1kZzfT0ODX7zECAuw4nRas1o3eM2xE4PH21HciSZIDuAdYCxyhN0rqkBDiN0KIK48f9gvgJ0KIb4B/ArdKMn3xZRONGHMK2U+9wMpbn6YgUd6QT4WzExERgVqtpqqqatDmFPp0JqSHc6zGs5BXa/epvi1JArtDy+GKNKqa43j8/rkEpj7nTVMVvhMjM2c+xYED4fT09P8yMWVKDfv3f+JFu4Y7/fJpnBdJkj6TJGmMJElmSZKWHX/tvyVJWnn858OSJM2SJGmiJEmTJEla5+U31oesG97+/v5kjB2L4bRWrgBOoWLH5Es4Mm62nCZc0AghiI2NxW63U1fnfT/DuYjLuI9D5WOxdLlf2NFXf2pi4ObD81i1+zL2FGdx7/U1aAPnedlKhfMhRDgzZ15DXl400Ntr3NN7V73eid3eAcjbv2T4II9oDCdkt3hczky2LryZ2sL9uHR6bOGxNDY2oI9PoTM8FtPhHaQf2iK3GRcsJ0q7FxUVodFoCAmRv8OaypDJVd//OatWOIgNqSE7ZYfHY0SY6jhWncLs9M0EjflcBisV3MFgmEto6AaKiy2sXh3HokUVpKa2ejSGSqWh1287nMrBy4VSe2rAGAwGFjz8P3R1dfU9P7h7F3GJSXS2t1H/5Xtym3DBI4QgKSmJwsJCNBoNgYGBss+pDZzH0hvi+fT9+/p1frdNT1VzLHf85Bderx2l4AmCsWMf4aOPHkGvd9DWZgA8Ew0hJCTJeoH8GwW9PujRi1e2p1wuF61NTbhcrnM6XQ0GQ19tpPFZ2QSGhBCdlEyH+cKsUSNJEi0tLXR2dg7KfGq1GrPZTHV1NRbLmduFciA5Lf1yiDd3BLOzMIvLsj5F6Mee/wQFmfFl4sQw2tp8CAnx/LOj07mw2c7de2R0oWxPuUVDfT0fvvg8kZINY8pY5t1463nLhm9d/Sk+Wi2GKvc7hI0WrFYrX7/yJ/wK8+jx8Sf17qeITU6Rfd6Te4IkJSWds8ChtxC6JNRqBz12HT5a98riHyyfyIfbrkajtjN59uOy2qfgPmbzg/T0/IEPPzQzf34NWVnu+8g0GhcORxc+Xq+uMRxRtqfcIjgkhMnTpqPR6qhf+Q7PllZy/c23EG8+9UK4Z9UKWstLMKVnYnzrTyQU7sHYfaHcgcDhvO2MmZzNN1+sYuKXLxBubeAb80X4BQYNmg06nY7k5OS+HA4fOb/JaiO+Bp++GlHukB57gEun+LB+/wLUAUvks03BQ/x56KFF1NauxeVKJT/fSVpao1tnarVO7COsW2f/UUTDLbRaLTMuXwrAQaOR3HGZBJy2b26322n98hNy1y+nNiyOuNoLa4Wx45MP2HbgCOnZ08lafBW7XS7yD2+jJySOCUGDJxoAer2ehISEvjpVcjaTSojxYU/RVHLStrp1vFrl4mDZeLRqO6guiFvTEYNWO5u4uNlAM5s3P0qam/2W/P27sFgaMZlkNW+YMPpFw+sht+Nn5p4hGAD7N3yBX3UJWqf9ghMMAHwM3Hnfgwgh0Ol0zFj6A3Iff46L7/rFeUt99PT00Nzg3eROPz8/YmJiKCoqwumUr0exedordDuD6Ow+s2T72XC6VCRG1iAhQPK8e5zCYBCMXh9AW5t7om402mhtLZPZpuHC6PdpDEphoo72dhwfv8H0g8Orl/RgMn3RZfj6eZZd63K5OLB9C1+++Dt2vvIMPT3ezaAPCAggPDyc4uJiXC6ZLtAqPyZNWcCxGvcCHlTChcPhxObQge3wOY87evCgrGKn8N1MmnQDn36awPr1sWzYEEtX17kDHlasSMblGpyqBMMDtYePkcWgiMYH7ywn4tiewZhqVCGEoHDz51y8ZhlTdrzFirffwG73br+K4OBgAgMDKS0tla3ciCn6Mupagt1KDBMCYkNqMfm20lx87j7ayWPG0NN9oeyTDz+02iy+//3rWLDgL2Rm5rB1a/RZ/789PSpSUpzExGQNvpFDgrLS8Aq1TS34Wr2XEdrp44dV5952x0hGCEH20uvZlH4lR2OnEpa3gm+2eH+1Fh4ejl6vp6KiQh7h0KYSGGDg66O5NHWcv9WpTtNFRnwBazafO+JKp9O5tXKTJInqykqPzFVwD71+BuBHSMitmM3J5OefmTjqcgmqqyX27Fk7+AYOCaNfNAbF4nsfeIA/OZ1cv/1fpA2wP3j+2Bx2zLqGsjYLD3zyR2waH15adDeJbdUs3rmCEEuzl6weHsSlpqN95AWEEOTv2ExgaDjQ6+dY+/arhISEojGaCAgOIW3ilH6XQo+KiqK8vJyamhqio6O9+RZACHIW/ZmOmn9x4JtApMp2JiXuwd9w9pj/uNByPtq+FAlVr19jAG0BhBBEx8b2+3wFdxAkJt7JmjWPkZjYil7/7bZhc7MP+flBPPbYpCG0bzAZ/cl9gyIafn5+RAWbEANsDFQek8Zn2Vcy4/DXLD60Bb8eK+/OuxWHWoN66jxeCI7nkv3ryDnmXqTOSCEyKgqAiKuu7XutqugYhtZabJZGaurrkEzh+IeEExMb2y/hEEIQHx9PcXExDQ0NhIWFec1+AKFLJCDhEWbF/4KqAw+yt9hIU5uWizO/OEM8fLQ9jI09yrGqNLAdBZ8Mr9qiIAcmgoMD6OmpRa120dysZ+/eMLq61Oh0TnS6K4bawEFi9EdPyfruWurq2LN+DY0VZcQlpdKQNJ4xtQUA1AVGENHmfoJQj8aH7fNvZG52FskfPYPJ2oYEJNUXY49OJHvqNPKLitmZdSn7MnK5ZfUL+Pb0ZlsLoLW1hU0fvk9HVRnz77gbPw+d0sON5IwJJGdMoCBvK/5NjaRMz2Xnsns4ND4XvRoiUseTnuNZMcjTy40EyREKLDTEZP4vMZnQUfxL1m5SI0mCIP8WtBqJMVFHiQyqZmxMEUcqMsBWqIjGCCEpKZNt29oRAsLCIpk6dQwvvHCMH/84n0HaCR8GKKIxIGy2Hiz5BwirLCQwZzbaH95PXlsjUmgkX0WO5/4PnkLjOv/qQwLWTVtKctZ0WrZ8jpAkSkMTeHPebb0HdHRiHjOGX//616hUKlpbWthuTkavEqBS01FayOQvluNY/y4rZlxH9IZ1TLn86r7x29vaMAYEeNysSAgx5BE8lq4u+OdvKVD9ClVCBqpv1pN76CPy46bx+f7rmPOjuz1K4FOpVJjNZgoKClCr1QQEyFdkzpj8R76fZAd7GUh2bJZv2LbpLVo6TVQ3R9FtNyChHlbte4qO5WMe42aCwgVGWNhNLF48BwgDJD7//CEmTlQRE/P2UJs2iIx+0RCeOD6zs7OlXbt2eTSB0+mkuryMuKRkJEmitqaGQJOJbquVkgdvImvv+cu+r835HnsSJ/Pwo4/x9NNPIyQXklBx6y23kJCcfN7zXS4XR3dspaqqitqdm8mu2I+4dxljZ+Sy6Z9vovtyBT7X3cWUhYs9em8dHR1UVVWRkpKCRjM0HxS73U7+ru2MyZqOEIKvP3ybOa/9mLLgZI6OW8KcX/y2X6squ91OQUEBCQkJg7sqs1ey/6t7MRg0pOYsVxL8RiAOxz5WrXoLvd7BJZcsA4xDbZIsCCF2n96mNTs7Rtq16y4Px3nijHGGM7Jf6dRqNXFJvRd2IQRRx52sRYcOYqorxeLjj6RW4W9t77ujlPi2OaRV58v22Ewef/gRLBYLwWoICQnjB3f+DLXavRhnlUpFxozZZABHY2Op/UTgeusFWjssiK3raFTpaNq8geRJWZg82Ms3Go1ERkYOfj/uk9BqtYyfkUtHezvPPfssl8ydzebbXyEhezYXJyb1O9tbq9ViNpspKioiOTkZvX6QnHvaWDIXfDQ4cyl4iQ727HmGqioL48ZFsXx5N7fdFkV8/P2AfNUGhi/KSqOP/qw0zkV5USFrXn+ZmOQUShpbMFcdpSEgjJTWKkp8g7lp9YsASAiOxGVQffuvycydR3hExIDnttvtrPzj02jLjrI3OoOM2mP42rsRYzJZcN+jHtdjampqoqWlheTk5CERDugNLbXb7eh0Oq+Oa7VaKS0tJSUlxetjK4x8JKmE1av/SF5eBAkJ7SxdOhmjcRxq9eShNk12zr7SiJV27brXw3EeUVYa7mAMCmbBzbdjTu91cuat/IBIUxitjXVc8ud7+o5zCRV5C24hRIKXXn6Zu+64g8gBhlBqtVoW3PlfbH3tBbA6KQlLwi5J/PSj/2VLaAQLbv+pR+OFhITgcDgoLS0lKSnJY9+INzhRnuR0Dm1cg8MpkXnR4n7Z5evrS1xcXN9qaqi24RSGDw0Nq7BYqkhMXMBzz71GbKyWRx+dhI9PLnD+PJzRzej3aQxZSENQcHCfYABMvfIaJs+Zi6u1GePxRMCiqDG8fsMTJGWMZ/fho2iQCPBSRI8pNJSFD/4/oiQbXWot/pKTNy++E7FrE61NTR6PFxERgV6vp7y8XLbM6v7QfOwA4X//Oeuf/w27167EZnOvRPnJGI1GoqKiKCoqkq/ciMKIwWAIJDQ0AyESeeCBn3Dttc/i43MVimDAhZDcN6zi4JxOJ8U1tegcPWyYfhV7rn2ArMwJbNi5i5T6EhwIDL7eywTXarVMmJyFvsdKj1DTodWzOWIs+/69vF/jRUVFIYSgurraazYOlIDMmTidDi5e9SRpz9/Ijqd/zpHtX3k8jslkIiQkhOLi4mEligqDj7//bIzG2fTWTUpimF1GhpgTyX2ePEYWw+q/vemlZ/nBymepCo6hKHMe1/7kp1QXFRDQ1UFheBJLL1nk9a2faVd+j8hgEyZHF3E4MDhstBzZT0ON5xd+IQRxcXHYbDZqa2u9amd/qCsvpWnN28S2VwDgb+8kd9uruF59jNLDBzweLzQ0FH9/f8rKyhThUFA4K8pKY1CwdnbyxasvEpC3nvfm387mHzzCzYc5vfoAAAW8SURBVD/pDVubevX1tBuM/PSuu5iYM8Prc6vVatIyJ6ESKirQ0KXRUWwIZtNH7/crB0MIQWJiIhaLhcZG95rUyMXeFW8z/+uXz3g9qWovO9d83K/ihxERETidTqxWqzdMVFAYZQiUKrcy09HezrZlj5D7twfZFD8J85yLuf5n96A/3oo0Ii6OJ554gojISNlsmL5wMdU+vbHkEfZO7Bod8evfY9NTD1Ny0PM7ciEEycnJNDc309LS4m1z3SYu5yIqgs9sI+vr6GLu1n+w+f03PfZxCCHQarXKSkNB4awoKw3ZaKiq5Mvnfstfnn2Wih4nr19+PxaNnvmLLx306CMhBA/98peYo6Oo0/oR3NPB6omX0lZVwf63XsTRj5pZJzKr6+rqaG/3XoVfT0ibMo389IVn/V14WwWq/RvpaB06URutWNpa6erqGmozFIaE0S8aQ2JxY0MD2//6e/YYehPpQnLmkT5uPCkZ44bCHKA3tPT6225n2bJlvYmFkov9seNY2FTQ7zHVajVms5nCwkJUKhX+/v5es9cdNBoN+uikU15r9Aun0RRHdeZixl93FyHhA897UTgVH1+/IcvXURgOjDwh8IRBfXflx45y8Mt15NW1gCGMH910Ewlm85DkNZyNEzkI1f6hRAcaqW7roNsUNiD7TmRWFxYWkpSUhOH4tttgobK2AeBCsDPze2gvvpm4KTNICw8fNn/30YY3e65LLhfdPT2D/rlR6C/y5GkIIRYDz9PrBHlVkqTfn+WY64An6S2q8Y0kSTd63RAGUTQsFgvrl79OqF5HREgEd/38nmF50br37rt55dVXmDtzBla7g/CoaLfLlZwLnU5HcnIyxcXFmM1mjzPOB4IjKJqy8AyaA2OIu/dPxCQkDtrcCgNHqFSKYIwovC8aQgg18DdgIVAJ5AkhVkqSdPikY1KBx4BZkiS1CCHCvWrEScguGiUFBRhNJkJCQ1lw653EJQ+flcXZCAoL4+HHHvf6uHq9nsTERIqKiga1JMfcH93N0XFTsNdUKIKhoCA7sqw0pgGFkiQVAwgh3gOuAg6fdMxPgL9JktQCIElSvbeNOIFsotHa1ER3Tw9vvfsuAE888QTx5jMjeS4khqokx9jsHCBnUOZSULiw6VfnvlAhxMlF/f4hSdI/TnoeA1Sc9LwSmH7aGGMAhBBf07uF9aQkSWs8NcQdZLlqdbS38/wLLxAinExMSeWK62XZWhuRGI1GoqOj+1YcA936UlBQGE70a6XReJ6ChWfbmjk95l0DpALzgFhgsxBivCRJrZ4acz5kEY1vdu/musuXkJ41VY7hRzyBgYG9JVOO+ziUSBsFhdGCLNtTlUDcSc9jgdNLVlQC2yVJsgMlQoh8ekUkz9vGyHK1mj1/viIY5yE4OBiTyURJSYmSKKegMGqQJU8jD0gVQiQJIXTA9cDK045ZAcwHEEKE0rtdVTzAN3NWlFvcISQsLAxfX1+llpOCwqjB+6IhSZIDuAdYCxwB3pck6ZAQ4jdCiCuPH7YWaBJCHAY2AL+UJMnzct1uMLqzUEYAkZGRVFZWUlVVRUxMzLCOLFNQUHAH719WJUn6DPjstNf++6SfJeDB4w9ZUVYaQ4wQgtjYWBwOx7CojKugoDAQRn8ZEUU0hgFCCBISErBarTQ0NAy1OQoKCv1m9IuGRxbv3r27UQhRJpcxCgoKCiOIhDNfOlEaffTikWhIkhQmlyEKCgoKI59+JfeNKEbe2khBQUFh2CJPwcLhxOh+dwoKCgqDiiIaCgoKCgpuo4iGgoKCgoLbKKKhoKCgoOARo/uyKpTyFQoKCgreQQixBgj18LRGSZIWy2GPHCiioaCgoKDgNkpGuIKCgoKC2yiioaCgoKDgNopoKCgoKCi4jSIaCgoKCgpuo4iGgoKCgoLbKKKhoKCgoOA2imgoKCgoKLiNIhoKCgoKCm6jiIaCgoKCgtv8f/ryk1JuqWHrAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x175a42b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# recompute dest_100 percent interests => assimilation\n",
+    "dest_data = pd.read_csv('../../data/query_results/US_white_music.tsv', sep='\\t', index_col=False)\n",
+    "shared_interests = mx_1_data.loc[:, 'interest_name'].unique()\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "dest_data = clean_pop_data(dest_data, shared_interests=shared_interests, count_var=count_var)\n",
+    "dest_pct = dest_data.loc[:, count_var_pct]\n",
+    "dest_pct.index = dest_data.loc[:, 'interest_name']\n",
+    "dest_pct_100 = dest_pct.loc[state_data_combined.loc[:, 'interest_name'].unique()]\n",
+    "dest_pct_100 = dest_pct_100 / dest_pct_100.sum()\n",
+    "# assimilation\n",
+    "top_dest_pct = 50\n",
+    "state_assim_scores_same_dest = state_data_combined.groupby('region_name').apply(\n",
+    "    lambda x: compute_assimilation(source_pct_100, \n",
+    "                                   dest_pct_100,\n",
+    "                                   x.loc[:, 'mau_audience_pct_expat'],\n",
+    "                                   TOP_DEST_PCT=top_dest_pct,\n",
+    "                                   score_type='/',\n",
+    "                                  )\n",
+    ")\n",
+    "# reshape to have proper columns, etc.\n",
+    "state_assim_scores_same_dest = pd.DataFrame(state_assim_scores_same_dest)\n",
+    "state_assim_scores_same_dest.reset_index(inplace=True)\n",
+    "# melt data frame to have interest name in single column\n",
+    "interest_cols = list(set(state_assim_scores_same_dest.columns) - set(['region_name']))\n",
+    "state_assim_scores_same_dest = pd.melt(state_assim_scores_same_dest, id_vars=['region_name'], value_vars=interest_cols, value_name='assim_score')\n",
+    "# median\n",
+    "state_assim_scores_median_same_dest = state_assim_scores_same_dest.groupby('region_name').apply(lambda x: np.median(x.loc[:, 'assim_score']))\n",
+    "# plot\n",
+    "plot_state_scores(state_assim_scores_median_same_dest)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Now let's plot the assimilation scores from (1) state-level and (2) global side by side with the ~same color scale~."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x175f8a58>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x180b25c0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# compute vmin, vmax first\n",
+    "state_assim_scores_median_combined = pd.concat([state_assim_scores_median, state_assim_scores_median_same_dest])\n",
+    "vmin = state_assim_scores_median_combined.min()\n",
+    "vmax = state_assim_scores_median_combined.max()\n",
+    "plot_state_scores(state_assim_scores_median, v_range=(vmin, vmax), pop_name='MX_Hispanic (state-level)')\n",
+    "plot_state_scores(state_assim_scores_median_same_dest, v_range=(vmin, vmax), pop_name='MX_Hispanic (country-level)')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Oh wow! So actually not much changes except that:\n",
+    "\n",
+    "- West assimilation is lower for country-level (CA, NV, UT, AZ)\n",
+    "- South assimilation is higher for country-level (AL, NC, SC, KY)\n",
+    "- Northeast assimilation less extreme (lower variance?) for state-level (VT, ME, NH)\n",
+    "- Midwest assimilation same"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>median_diff</th>\n",
+       "      <th>test_stat</th>\n",
+       "      <th>p_val</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>region_name</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>California</th>\n",
+       "      <td>-0.067759</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>0.000183</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Nevada</th>\n",
+       "      <td>-0.060356</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>0.000916</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Virginia</th>\n",
+       "      <td>0.052591</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>0.000748</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             median_diff  test_stat     p_val\n",
+       "region_name                                  \n",
+       "California     -0.067759       15.0  0.000183\n",
+       "Nevada         -0.060356       29.0  0.000916\n",
+       "Virginia        0.052591       32.0  0.000748"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from scipy.stats import wilcoxon\n",
+    "# merge data\n",
+    "state_assim_scores_combined = pd.merge(state_assim_scores, state_assim_scores_same_dest, on=['region_name', 'interest_name'])\n",
+    "state_assim_scores_combined.rename(columns={'assim_score_x':'assim_score_per_state',\n",
+    "                                            'assim_score_y':'assim_score_country'}, inplace=True)\n",
+    "# compute differences of median\n",
+    "state_assim_scores_combined_median_diffs = state_assim_scores_combined.groupby(['region_name']).apply(lambda x: x.loc[:, 'assim_score_country'].median() - x.loc[:, 'assim_score_per_state'].median())\n",
+    "state_assim_scores_diff_tests = state_assim_scores_combined.groupby(['region_name']).apply(lambda x: list(wilcoxon(x.loc[:, 'assim_score_per_state'], \n",
+    "                                                                                                                   x.loc[:, 'assim_score_country'])))\n",
+    "state_assim_scores_diff_tests = pd.DataFrame(state_assim_scores_diff_tests.values.tolist(), \n",
+    "                                             columns=['test_stat', 'p_val'],\n",
+    "                                             index=state_assim_scores_diff_tests.index)\n",
+    "# merge\n",
+    "state_assim_scores_diff_tests = pd.concat([state_assim_scores_combined_median_diffs, \n",
+    "                                           state_assim_scores_diff_tests], axis=1).rename(columns={0:'median_diff'})\n",
+    "# limit to significant differences\n",
+    "p_val_limit = 0.05 / state_assim_scores_combined.loc[:, 'region_name'].nunique()\n",
+    "# p_val_limit = 0.05\n",
+    "display(state_assim_scores_diff_tests[state_assim_scores_diff_tests.loc[:, 'p_val'] < p_val_limit])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compare across ethnic groups\n",
+    "Are immigrants more likely to assimilate to white, African American, or Hispanic non-expat interests?\n",
+    "\n",
+    "Let's do a side-by-side comparison with all the groups."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import unicodedata\n",
+    "# remove max vals\n",
+    "def remove_max(data, count_var):\n",
+    "    max_val = data.loc[:, count_var].max()\n",
+    "    max_rows = pd.np.where(data.loc[:, count_var] == max_val)\n",
+    "    if(len(max_rows) > 1):\n",
+    "        print('removing %d max rows'%(len(max_rows)))\n",
+    "        data.iloc[max_rows, :] = 0\n",
+    "    return data\n",
+    "def clean_pop_data(data, shared_interests, count_var='mau_audience'):\n",
+    "    \"\"\"\n",
+    "    Clean up columns, restrict to shared interests,\n",
+    "    normalize audience count to add to 1.\n",
+    "    NOTE: this normalization is different from\n",
+    "    prior work which divided by the total population,\n",
+    "    since interests are not mutually exclusive.\n",
+    "    \n",
+    "    :param data: DataFrame with audience counts, one interest per line.\n",
+    "    :param shared_interests: shared interests\n",
+    "    \"\"\"\n",
+    "    data.loc[:, 'interest_name'] = data.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "#     print('name type %s'%(type(data.loc[:, 'interest_name'].iloc[0])))\n",
+    "    print('pre-norm names %s'%('\\n'.join(data.loc[:, 'interest_name'].unique())))\n",
+    "    \n",
+    "    # normalize names\n",
+    "#     print('pre-norm names %s'%('\\n'.join(data.loc[:, 'interest_name'].unique())))\n",
+    "    data.loc[:, 'interest_name'] = data.loc[:, 'interest_name'].apply(lambda x: x.decode('unicode-escape'))\n",
+    "    data.loc[:, 'interest_name'] = data.loc[:, 'interest_name'].apply(lambda x: unicodedata.normalize('NFKD',x).encode('ascii', 'ignore'))\n",
+    "#     print('post-norm names %s'%('\\n'.join(data.loc[:, 'interest_name'].unique())))\n",
+    "    data.loc[:, 'location_name'] = data.loc[:, 'geo_locations'].apply(lambda x: json.loads(x)['values'][0])\n",
+    "#     shared_interests = data.loc[:, 'interest_name'].values\n",
+    "    data = data[data.loc[:, 'interest_name'].isin(shared_interests)]\n",
+    "    data = remove_max(data, count_var)\n",
+    "    count_var_pct = '%s_pct'%(count_var)\n",
+    "    # normalize\n",
+    "    data.loc[:, count_var_pct] = data.loc[:, count_var] / data.loc[:, count_var].sum()\n",
+    "    # organize\n",
+    "    relevant_cols = ['name', 'interest_name', 'location_name', count_var, count_var_pct]\n",
+    "    data = data.loc[:, relevant_cols]\n",
+    "    data.sort_values('interest_name', inplace=True, ascending=True)\n",
+    "    return data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import combine_demo_data, clean_pop_data\n",
+    "import json\n",
+    "import os\n",
+    "ethnic_group_files = [\n",
+    "    # native groups\n",
+    "    '../../data/query_results/US_African_American_music.tsv',\n",
+    "    '../../data/query_results/US_white_music.tsv',\n",
+    "    '../../data/query_results/US_Hispanic_music.tsv',\n",
+    "    # Mexican native groups\n",
+    "    '../../data/query_results/Hispanic_Spanish_non_expat_music_interests.tsv',\n",
+    "    '../../data/query_results/hispanic_non_expat_MX_community_music_interests.tsv',\n",
+    "    '../../data/query_results/US_hispanic_non_expats_mexican_aligned_music_interests.tsv',\n",
+    "]\n",
+    "count_var = 'mau_audience'\n",
+    "mx_1_data = pd.read_csv('../../data/query_results/Hispanic_MX_music.tsv', sep='\\t', index_col=False)\n",
+    "mx_1_data.loc[:, 'interest_name'] = mx_1_data.loc[:, 'interests'].apply(lambda x: json.loads(x)['name'][0])\n",
+    "mx_1_data = clean_pop_data(mx_1_data, shared_interests=None, count_var=count_var)\n",
+    "shared_interests = mx_1_data.loc[:, 'interest_name'].unique().tolist()\n",
+    "mx_1_pct = mx_1_data.loc[:, count_var_pct]\n",
+    "mx_1_pct.index = mx_1_data.loc[:, 'interest_name'].values\n",
+    "shared_interests = mx_1_data.loc[:, 'interest_name'].unique().tolist()\n",
+    "# source data\n",
+    "source_data = pd.read_csv('../../data/query_results/all_MX_music.tsv',\n",
+    "                          sep='\\t', index_col=False)\n",
+    "source_data = clean_pop_data(source_data, shared_interests, count_var=count_var)\n",
+    "source_pct = source_data.loc[:, count_var_pct]\n",
+    "source_pct.index = source_data.loc[:, 'interest_name'].values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 212,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_African_American_music\n",
+      "top 10 interests for US_African_American_music:\n",
+      "Music                     0.095728\n",
+      "Arts and music            0.074918\n",
+      "Hip hop music             0.045783\n",
+      "Rock music                0.039956\n",
+      "Pop music                 0.037043\n",
+      "Rhythm and blues music    0.030383\n",
+      "Contemporary R&B          0.030383\n",
+      "Soul music                0.029967\n",
+      "Popular music             0.021643\n",
+      "Christian music           0.019978\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "processing group US_white_music\n",
+      "top 10 interests for US_white_music:\n",
+      "Music                0.113215\n",
+      "Arts and music       0.094346\n",
+      "Rock music           0.050802\n",
+      "Pop music            0.037738\n",
+      "Country music        0.034835\n",
+      "Hip hop music        0.027578\n",
+      "Popular music        0.027578\n",
+      "Blues music          0.026127\n",
+      "Alternative rock     0.021772\n",
+      "Heavy metal music    0.021772\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "processing group US_Hispanic_music\n",
+      "top 10 interests for US_Hispanic_music:\n",
+      "Music                     0.078406\n",
+      "Arts and music            0.062725\n",
+      "Rock music                0.036352\n",
+      "Hip hop music             0.035639\n",
+      "Pop music                 0.034213\n",
+      "Contemporary R&B          0.022809\n",
+      "Popular music             0.022809\n",
+      "Rhythm and blues music    0.021383\n",
+      "Electronic music          0.020671\n",
+      "Soul music                0.019958\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "processing group Hispanic_Spanish_non_expat_music_interests\n",
+      "top 10 interests for Hispanic_Spanish_non_expat_music_interests:\n",
+      "Music                               0.152679\n",
+      "Arts and music                      0.096939\n",
+      "Pop music                           0.041199\n",
+      "Rock music                          0.036352\n",
+      "Hip hop music                       0.033929\n",
+      "Regional styles of Mexican music    0.017207\n",
+      "Electronic music                    0.016480\n",
+      "Contemporary R&B                    0.015995\n",
+      "Popular music                       0.015268\n",
+      "Latin pop                           0.014299\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "processing group hispanic_non_expat_MX_community_music_interests\n",
+      "top 10 interests for hispanic_non_expat_MX_community_music_interests:\n",
+      "Music                     0.081370\n",
+      "Arts and music            0.066113\n",
+      "Hip hop music             0.038142\n",
+      "Rock music                0.038142\n",
+      "Pop music                 0.035599\n",
+      "Contemporary R&B          0.024157\n",
+      "Popular music             0.023140\n",
+      "Rhythm and blues music    0.022377\n",
+      "Electronic music          0.021360\n",
+      "Soul music                0.019834\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n",
+      "top 10 interests for US_hispanic_non_expats_mexican_aligned_music_interests:\n",
+      "Music                     0.049481\n",
+      "Arts and music            0.045947\n",
+      "Rock music                0.031809\n",
+      "Pop music                 0.030042\n",
+      "Hip hop music             0.030042\n",
+      "Contemporary R&B          0.021206\n",
+      "Popular music             0.021206\n",
+      "Electronic music          0.019439\n",
+      "Rhythm and blues music    0.019439\n",
+      "Country music             0.017672\n",
+      "Name: mau_audience_pct, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# destination data => assimilation\n",
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import compute_assimilation, clean_pop_data\n",
+    "top_dest_pct = 50\n",
+    "ethnic_assim_scores = []\n",
+    "ethnic_assim_names = []\n",
+    "top_k = 10\n",
+    "for d in ethnic_group_files:\n",
+    "    d_name = os.path.basename(d).replace('.tsv', '')\n",
+    "    print('processing group %s'%(d_name))\n",
+    "    dest_data = pd.read_csv(d, sep='\\t', index_col=False)\n",
+    "    dest_data = clean_pop_data(dest_data, shared_interests, count_var=count_var)\n",
+    "    dest_pct = dest_data.loc[:, count_var_pct]\n",
+    "    dest_pct.index = dest_data.loc[:, 'interest_name'].values\n",
+    "    # print top-k interests per group\n",
+    "    print('top %d interests for %s:\\n%s'%(top_k, d_name, dest_pct.sort_values(inplace=False, ascending=False).head(n=top_k)))\n",
+    "    d_assim_scores = compute_assimilation(source_pct, dest_pct, expat_pct,\n",
+    "                                          TOP_DEST_PCT=top_dest_pct,\n",
+    "                                          score_type='/')\n",
+    "    ethnic_assim_scores.append(d_assim_scores)\n",
+    "    ethnic_assim_names.append(d_name)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 210,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ethnic assim scores have different means F=278.523 (p=0.000)\n"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "from scipy.stats import f_oneway\n",
+    "# plot \n",
+    "Y = np.arange(len(ethnic_assim_scores))+1\n",
+    "ethnic_assim_names = [\n",
+    "    'black',\n",
+    "    'white',\n",
+    "    'hispanic_all',\n",
+    "    'hispanic_Spanish',\n",
+    "    'hispanic_mexican_communities',\n",
+    "    'hispanic_mexican_aligned',\n",
+    "]\n",
+    "plt.boxplot(ethnic_assim_scores, vert=False)\n",
+    "plt.xscale('log')\n",
+    "plt.yticks(Y, ethnic_assim_names)\n",
+    "plt.show()\n",
+    "# mean difference test\n",
+    "ethnic_assim_scores_log = map(lambda x: np.log(x).values, ethnic_assim_scores)\n",
+    "test_stat, p_val = f_oneway(*ethnic_assim_scores_log)\n",
+    "print('ethnic assim scores have different means F=%.3f (p=%.3f)'%(test_stat, p_val))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What are the genres with the highest/lowest assimilation scores for each group?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 213,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "top assimilation scores for US_African_American_music:\n",
+      "Trova                        39.048498\n",
+      "Criolla                      32.932468\n",
+      "Music of Mexico              25.875510\n",
+      "Timba                        10.977489\n",
+      "Mento                        10.442002\n",
+      "UK funky                      7.684242\n",
+      "Bachata (song)                6.586494\n",
+      "Guajira (music)               4.490791\n",
+      "Music of Texas                3.671160\n",
+      "Latin dance                   3.431910\n",
+      "Dark ambient                  3.393042\n",
+      "Habanera (music)              3.293247\n",
+      "Acid rock                     3.119918\n",
+      "Zouk (club)                   3.039920\n",
+      "Music of Brazil               2.744372\n",
+      "Red Dirt (music)              2.705167\n",
+      "Texas country music           2.661210\n",
+      "J-Rock                        2.655844\n",
+      "Music of Greece               2.605960\n",
+      "Samba-cancao                  2.524823\n",
+      "Cakewalk                      2.107678\n",
+      "Album-oriented rock           1.975948\n",
+      "Electro house                 1.928902\n",
+      "Outlaw country                1.917587\n",
+      "New rave                      1.881855\n",
+      "Boogie (genre)                1.737097\n",
+      "Fado                          1.712488\n",
+      "Active rock                   1.707609\n",
+      "New Acoustic Music            1.674067\n",
+      "Roots rock                    1.630941\n",
+      "                               ...    \n",
+      "West Coast jazz               0.415989\n",
+      "Twelve-bar blues              0.414431\n",
+      "Bounce music                  0.400917\n",
+      "Vocal jazz                    0.395190\n",
+      "Hard bop                      0.395190\n",
+      "Afrobeat                      0.395190\n",
+      "Zydeco                        0.395190\n",
+      "Post-bop                      0.387441\n",
+      "Modal jazz                    0.383214\n",
+      "PBR&B                         0.365916\n",
+      "Women's music                 0.365916\n",
+      "Trad jazz                     0.363393\n",
+      "Kayokyoku                     0.346658\n",
+      "Crunk                         0.343643\n",
+      "Bele                          0.336332\n",
+      "Smooth jazz                   0.329325\n",
+      "Nu jazz                       0.329325\n",
+      "Afro-punk                     0.288159\n",
+      "Hot R&B/Hip-Hop Songs         0.256141\n",
+      "Music of Africa               0.252482\n",
+      "New jack swing                0.246994\n",
+      "Urban adult contemporary      0.244641\n",
+      "Boi (music)                   0.243944\n",
+      "Straight-ahead jazz           0.235232\n",
+      "African popular music         0.226868\n",
+      "Atlanta hip hop               0.199591\n",
+      "R&B/Soul                      0.188186\n",
+      "Soul jazz                     0.106482\n",
+      "Urban contemporary gospel     0.092657\n",
+      "Marching band                 0.002271\n",
+      "Name: mau_audience_pct, Length: 211, dtype: float64\n",
+      "top assimilation scores for US_white_music:\n",
+      "Mento                        17.290677\n",
+      "UK funky                      9.277696\n",
+      "Urban contemporary gospel     8.708885\n",
+      "Latin dance                   6.447542\n",
+      "Slow jam                      3.999545\n",
+      "Baltimore club                3.777348\n",
+      "Samba-cancao                  3.619958\n",
+      "New jack swing                3.597474\n",
+      "Bouyon music                  3.518118\n",
+      "Roots reggae                  3.332954\n",
+      "Crunk                         3.237727\n",
+      "Hot R&B/Hip-Hop Songs         3.110757\n",
+      "Ghetto house                  2.854972\n",
+      "Southern hip hop              2.714969\n",
+      "Urban adult contemporary      2.668778\n",
+      "Chicago hip hop               2.563200\n",
+      "West Coast hip hop            2.428295\n",
+      "Bele                          2.014585\n",
+      "Spoken word                   2.003837\n",
+      "Krumping                      1.888674\n",
+      "Dark ambient                  1.888674\n",
+      "Soul jazz                     1.869402\n",
+      "Electro house                 1.843705\n",
+      "Cakewalk                      1.743391\n",
+      "Tarantella                    1.725857\n",
+      "Fado                          1.444280\n",
+      "New York hardcore             1.388731\n",
+      "Acid rock                     1.378221\n",
+      "New rave                      1.349053\n",
+      "Horrorcore                    1.343864\n",
+      "                               ...    \n",
+      "Fingerstyle guitar            0.491055\n",
+      "Heartland rock                0.489338\n",
+      "March (music)                 0.487907\n",
+      "Organ (music)                 0.487907\n",
+      "Tonic (music)                 0.477723\n",
+      "Mainstream Top 40             0.472168\n",
+      "String (music)                0.450376\n",
+      "Alternative country           0.447318\n",
+      "1970s in music                0.445187\n",
+      "Cowpunk                       0.444394\n",
+      "Slack-key guitar              0.437377\n",
+      "Country music                 0.424952\n",
+      "Foxtrot                       0.420659\n",
+      "Post-metal                    0.410581\n",
+      "Waltz                         0.409213\n",
+      "Christmas music               0.391989\n",
+      "American folk music           0.377735\n",
+      "New Romanticism               0.370328\n",
+      "Bluegrass music               0.365679\n",
+      "Scottish highland dance       0.358848\n",
+      "Cool jazz                     0.356354\n",
+      "Appalachian music             0.346257\n",
+      "Arena rock                    0.346257\n",
+      "Bakersfield sound             0.343395\n",
+      "Hoedown                       0.343395\n",
+      "Australian folk music         0.280749\n",
+      "Old-time music                0.275874\n",
+      "Canadian rock                 0.203083\n",
+      "Folk music of Ireland         0.194422\n",
+      "Marching band                 0.002421\n",
+      "Name: mau_audience_pct, Length: 153, dtype: float64\n",
+      "top assimilation scores for US_Hispanic_music:\n",
+      "Trova                      8.867213\n",
+      "Criolla                    5.746927\n",
+      "Music of Mexico            4.230622\n",
+      "Timba                      3.433947\n",
+      "Mento                      2.941074\n",
+      "Charanga (Cuba)            2.747157\n",
+      "UK funky                   2.564013\n",
+      "Guajira (music)            2.307612\n",
+      "Samba-cancao               1.882095\n",
+      "Tarantella                 1.853082\n",
+      "Habanera (music)           1.762759\n",
+      "Latin dance                1.730709\n",
+      "Cafe-chantant              1.602508\n",
+      "Music of Greece            1.590854\n",
+      "Zouk (club)                1.538408\n",
+      "Big band                   1.510936\n",
+      "Space age pop              1.410207\n",
+      "Fado                       1.408402\n",
+      "Music of Africa            1.382163\n",
+      "Bachata (song)             1.351304\n",
+      "Bele                       1.318635\n",
+      "Spoken word                1.286938\n",
+      "Coimbra Fado               1.282007\n",
+      "Hot R&B/Hip-Hop Songs      1.170528\n",
+      "Free jazz                  1.170528\n",
+      "Vocal jazz                 1.098863\n",
+      "African popular music      1.083878\n",
+      "Klezmer                    1.079844\n",
+      "Globus (music)             1.073308\n",
+      "Electro house              1.051246\n",
+      "                             ...   \n",
+      "Swing revival              0.641003\n",
+      "Christian country music    0.641003\n",
+      "Christian punk             0.641003\n",
+      "Adult album alternative    0.641003\n",
+      "Powerviolence              0.641003\n",
+      "Sludge metal               0.634593\n",
+      "Southern soul              0.631846\n",
+      "Slow jam                   0.629349\n",
+      "Comedy rock                0.628496\n",
+      "Old-time music             0.624978\n",
+      "Melodic hardcore           0.621579\n",
+      "Hoedown                    0.620326\n",
+      "Mainstream Top 40          0.615363\n",
+      "Bluegrass music            0.614014\n",
+      "Western swing              0.613284\n",
+      "Appalachian music          0.604375\n",
+      "Psychobilly                0.602543\n",
+      "Alternative country        0.596796\n",
+      "Swamp pop                  0.594385\n",
+      "Folk music of Ireland      0.585264\n",
+      "Celtic punk                0.581593\n",
+      "Cowpunk                    0.576903\n",
+      "Post-metal                 0.576903\n",
+      "Country rap                0.557394\n",
+      "Bakersfield sound          0.555096\n",
+      "Outlaw country             0.552865\n",
+      "Texas country music        0.530486\n",
+      "Red Dirt (music)           0.520344\n",
+      "Music of Texas             0.502941\n",
+      "Horror punk                0.005417\n",
+      "Name: mau_audience_pct, Length: 173, dtype: float64\n",
+      "top assimilation scores for Hispanic_Spanish_non_expat_music_interests:\n",
+      "Rock and roll                         53.165004\n",
+      "Psychedelic rock                      12.442873\n",
+      "Horrorcore                             4.185330\n",
+      "British blues                          3.619745\n",
+      "Nu metal                               3.098423\n",
+      "Roots reggae                           3.085010\n",
+      "Acid rock                              3.054160\n",
+      "Outlaw country                         2.601692\n",
+      "Christian rock                         2.477802\n",
+      "Chicago blues                          1.922990\n",
+      "Bouyon music                           1.918950\n",
+      "Spoken word                            1.613308\n",
+      "Chumba                                 1.602491\n",
+      "Electro house                          1.599241\n",
+      "Bakersfield sound                      1.583638\n",
+      "Alternative rock                       1.475440\n",
+      "Criolla                                1.470521\n",
+      "Urban adult contemporary               1.470521\n",
+      "Southern hip hop                       1.445384\n",
+      "Contemporary R&B                       1.302560\n",
+      "West Coast hip hop                     1.272567\n",
+      "Big band                               1.244287\n",
+      "Swing (dance)                          1.131170\n",
+      "Country rap                            1.131170\n",
+      "Latin dance                            1.119859\n",
+      "Trova                                  0.938871\n",
+      "Urban contemporary gospel              0.938871\n",
+      "Hot R&B/Hip-Hop Songs                  0.931552\n",
+      "Zydeco                                 0.882313\n",
+      "Golden age hip hop                     0.882313\n",
+      "                                        ...    \n",
+      "Hard trance                            0.011312\n",
+      "Hard NRG                               0.011312\n",
+      "Grand opera                            0.011312\n",
+      "Gospel reggae                          0.011312\n",
+      "Ghettotech                             0.011312\n",
+      "German rock                            0.011312\n",
+      "Jongo                                  0.011312\n",
+      "Zulu music                             0.011312\n",
+      "New Zealand hip hop                    0.011312\n",
+      "Klaudia Gawlas music                   0.011312\n",
+      "New Romanticism                        0.011312\n",
+      "New Orleans rhythm and blues           0.011312\n",
+      "Music of the Republic of Macedonia     0.011312\n",
+      "Music of Ecuador                       0.011312\n",
+      "Music of Brittany                      0.011312\n",
+      "Music of Afghanistan                   0.011312\n",
+      "Mexican Son music                      0.011312\n",
+      "Medieval metal                         0.011312\n",
+      "Mbaqanga                               0.011312\n",
+      "Mbalax                                 0.011312\n",
+      "Marchinha                              0.011312\n",
+      "Marc Riley BBC 6 music                 0.011312\n",
+      "Maori music                            0.011312\n",
+      "Maloya                                 0.011312\n",
+      "Mainstream jazz                        0.011312\n",
+      "Madih nabawi                           0.011312\n",
+      "Low Bap                                0.011312\n",
+      "Live electronic music                  0.011312\n",
+      "Kroncong                               0.011312\n",
+      "1940s in music                         0.011312\n",
+      "Name: mau_audience_pct, Length: 276, dtype: float64\n",
+      "top assimilation scores for hispanic_non_expat_MX_community_music_interests:\n",
+      "Criolla                               14.015088\n",
+      "Trova                                  8.134632\n",
+      "El Vallenato                           3.126443\n",
+      "UK funky                               3.018634\n",
+      "Timba                                  2.695209\n",
+      "Music of Mexico                        2.578026\n",
+      "Samba-cancao                           2.254175\n",
+      "Bele                                   2.069921\n",
+      "Mento                                  1.946540\n",
+      "Big band                               1.670271\n",
+      "Latin dance                            1.667661\n",
+      "Guajira (music)                        1.617126\n",
+      "Baltimore club                         1.540120\n",
+      "Space age pop                          1.501129\n",
+      "Spoken word                            1.421110\n",
+      "Bachata (song)                         1.401509\n",
+      "Fado                                   1.334770\n",
+      "Active rock                            1.331750\n",
+      "Bhangra (music)                        1.238339\n",
+      "Coimbra Fado                           1.078084\n",
+      "Sharp (music)                          1.078084\n",
+      "Charanga (Cuba)                        1.078084\n",
+      "Music of Africa                        1.033164\n",
+      "Dark ambient                           1.018190\n",
+      "Jesus music                            1.014667\n",
+      "Christian country music                0.995154\n",
+      "Swing (dance)                          0.995154\n",
+      "British blues                          0.985677\n",
+      "Electro house                          0.982254\n",
+      "Music of Greece                        0.981056\n",
+      "                                        ...    \n",
+      "Hardtechno                             0.107808\n",
+      "Hard trance                            0.107808\n",
+      "Hard NRG                               0.107808\n",
+      "Grand opera                            0.107808\n",
+      "Gospel reggae                          0.107808\n",
+      "Ghettotech                             0.107808\n",
+      "German rock                            0.107808\n",
+      "Jongo                                  0.107808\n",
+      "Kayokyoku                              0.107808\n",
+      "Zulu music                             0.107808\n",
+      "Mbalax                                 0.107808\n",
+      "New Romanticism                        0.107808\n",
+      "New Orleans rhythm and blues           0.107808\n",
+      "Music of the Republic of Macedonia     0.107808\n",
+      "Music of Ecuador                       0.107808\n",
+      "Music of Brittany                      0.107808\n",
+      "Music of Afghanistan                   0.107808\n",
+      "Mexican Son music                      0.107808\n",
+      "Mbaqanga                               0.107808\n",
+      "Marchinha                              0.107808\n",
+      "Klaudia Gawlas music                   0.107808\n",
+      "Marc Riley BBC 6 music                 0.107808\n",
+      "Maori music                            0.107808\n",
+      "Maloya                                 0.107808\n",
+      "Mainstream jazz                        0.107808\n",
+      "Madih nabawi                           0.107808\n",
+      "Low Bap                                0.107808\n",
+      "Live electronic music                  0.107808\n",
+      "Kroncong                               0.107808\n",
+      "1940s in music                         0.107808\n",
+      "Name: mau_audience_pct, Length: 265, dtype: float64\n",
+      "top assimilation scores for US_hispanic_non_expats_mexican_aligned_music_interests:\n",
+      "Trova                         5.364775\n",
+      "Criolla                       4.918630\n",
+      "Timba                         2.983193\n",
+      "Bele                          2.757796\n",
+      "UK funky                      2.286068\n",
+      "Mento                         1.977096\n",
+      "Music of Mexico               1.895985\n",
+      "Space age pop                 1.706386\n",
+      "Latin dance                   1.651341\n",
+      "Samba-cancao                  1.551260\n",
+      "Stride (music)                1.477391\n",
+      "Guajira (music)               1.454306\n",
+      "Big band                      1.421988\n",
+      "Fado                          1.390785\n",
+      "Hot R&B/Hip-Hop Songs         1.357353\n",
+      "Coimbra Fado                  1.193277\n",
+      "Bachata (song)                1.186258\n",
+      "Swing (dance)                 1.095007\n",
+      "Sharp (music)                 1.057677\n",
+      "Spoken word                   1.038151\n",
+      "Contemporary R&B              0.982465\n",
+      "Alternative rock              0.959542\n",
+      "Scat singing                  0.936610\n",
+      "Baltimore club                0.912506\n",
+      "Chumba                        0.909359\n",
+      "Klezmer                       0.871092\n",
+      "Rock and roll                 0.867967\n",
+      "Wonky (music)                 0.832782\n",
+      "Jig                           0.775630\n",
+      "Afro-punk                     0.757592\n",
+      "                                ...   \n",
+      "Old-time music                0.560177\n",
+      "Hoedown                       0.554021\n",
+      "Hip house                     0.554021\n",
+      "Acid rock                     0.551106\n",
+      "Experimental hip hop          0.550447\n",
+      "Adult contemporary music      0.536975\n",
+      "Alternative country           0.536975\n",
+      "Christian country music       0.531861\n",
+      "Country blues                 0.531861\n",
+      "Christian alternative rock    0.517087\n",
+      "1970s in music                0.511916\n",
+      "Old-school hip hop            0.508469\n",
+      "Roots rock                    0.504160\n",
+      "Golden age hip hop            0.504160\n",
+      "Outlaw country                0.502521\n",
+      "New school hip hop            0.502313\n",
+      "Country rap                   0.500406\n",
+      "Bakersfield sound             0.493583\n",
+      "Active rock                   0.479066\n",
+      "Jazz-funk                     0.479066\n",
+      "Texas country music           0.477311\n",
+      "Cowpunk                       0.477311\n",
+      "1950s in music                0.474503\n",
+      "Slow jam                      0.465378\n",
+      "Red Dirt (music)              0.457423\n",
+      "Swamp pop                     0.446973\n",
+      "New jack swing                0.423071\n",
+      "Mainstream Top 40             0.406888\n",
+      "Music of Texas                0.405714\n",
+      "Latin hip hop                 0.396834\n",
+      "Name: mau_audience_pct, Length: 108, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "from itertools import izip\n",
+    "for e_name, e_group in izip(ethnic_assim_names, ethnic_assim_scores):\n",
+    "    e_group.sort_values(inplace=True, ascending=False)\n",
+    "    print('top assimilation scores for %s:\\n%s'%(e_name, e_group))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "These mostly make sense:\n",
+    "\n",
+    "- \"over-assimilation\" is often due to Latin American interests like `Bachata`, `Latin dance`, `Trova`.\n",
+    "- \"under-assimilation\" is due to interests specific to the group, e.g. \"white\" music more likely to be `Canadian rock`, `Hoedown`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Do the overall results still hold when we change the top destination percent?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 219,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_African_American_music\n",
+      "processing group US_white_music\n",
+      "processing group US_Hispanic_music\n",
+      "processing group Hispanic_Spanish_non_expat_music_interests\n",
+      "processing group hispanic_non_expat_MX_community_music_interests\n",
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ethnic assim scores have different means F=292.186 (p=0.000)\n",
+      "processing group US_African_American_music\n",
+      "processing group US_white_music\n",
+      "processing group US_Hispanic_music\n",
+      "processing group Hispanic_Spanish_non_expat_music_interests\n",
+      "processing group hispanic_non_expat_MX_community_music_interests\n",
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ethnic assim scores have different means F=284.663 (p=0.000)\n",
+      "processing group US_African_American_music\n",
+      "processing group US_white_music\n",
+      "processing group US_Hispanic_music\n",
+      "processing group Hispanic_Spanish_non_expat_music_interests\n",
+      "processing group hispanic_non_expat_MX_community_music_interests\n",
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ethnic assim scores have different means F=278.523 (p=0.000)\n",
+      "processing group US_African_American_music\n",
+      "processing group US_white_music\n",
+      "processing group US_Hispanic_music\n",
+      "processing group Hispanic_Spanish_non_expat_music_interests\n",
+      "processing group hispanic_non_expat_MX_community_music_interests\n",
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ethnic assim scores have different means F=4.552 (p=0.000)\n",
+      "processing group US_African_American_music\n",
+      "processing group US_white_music\n",
+      "processing group US_Hispanic_music\n",
+      "processing group Hispanic_Spanish_non_expat_music_interests\n",
+      "processing group hispanic_non_expat_MX_community_music_interests\n",
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ethnic assim scores have different means F=4.908 (p=0.000)\n"
+     ]
+    }
+   ],
+   "source": [
+    "top_dest_pcts = [10, 25, 50, 75, 90]\n",
+    "for top_dest_pct in top_dest_pcts:\n",
+    "    ethnic_assim_scores = []\n",
+    "    ethnic_assim_names = []\n",
+    "    top_k = 10\n",
+    "    for d in ethnic_group_files:\n",
+    "        d_name = os.path.basename(d).replace('.tsv', '')\n",
+    "        print('processing group %s'%(d_name))\n",
+    "        dest_data = pd.read_csv(d, sep='\\t', index_col=False)\n",
+    "        dest_data = clean_pop_data(dest_data, shared_interests, count_var=count_var)\n",
+    "        dest_pct = dest_data.loc[:, count_var_pct]\n",
+    "        dest_pct.index = dest_data.loc[:, 'interest_name'].values\n",
+    "        d_assim_scores = compute_assimilation(source_pct, dest_pct, expat_pct,\n",
+    "                                              TOP_DEST_PCT=top_dest_pct,\n",
+    "                                              score_type='/')\n",
+    "        ethnic_assim_scores.append(d_assim_scores)\n",
+    "        ethnic_assim_names.append(d_name)\n",
+    "    # plot \n",
+    "    Y = np.arange(len(ethnic_assim_scores))+1\n",
+    "    ethnic_assim_names = [\n",
+    "        'black',\n",
+    "        'white',\n",
+    "        'hispanic_all',\n",
+    "        'hispanic_Spanish',\n",
+    "        'hispanic_mexican_communities',\n",
+    "        'hispanic_mexican_aligned',\n",
+    "    ]\n",
+    "    plt.boxplot(ethnic_assim_scores, vert=False)\n",
+    "    plt.xscale('log')\n",
+    "    plt.yticks(Y, ethnic_assim_names)\n",
+    "    plt.title('top dest pct = %d'%(top_dest_pct))\n",
+    "    plt.show()\n",
+    "    # mean difference test\n",
+    "    ethnic_assim_scores_log = map(lambda x: np.log(x).values, ethnic_assim_scores)\n",
+    "    test_stat, p_val = f_oneway(*ethnic_assim_scores_log)\n",
+    "    print('ethnic assim scores have different means F=%.3f (p=%.3f)'%(test_stat, p_val))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Interesting! We see that the Hispanic Spanish group has an unusually high mean (and low variance) if we increase the top dest percent, which means that the immigrants are over-assimilated when we only consider the highly-American interests. In contrast, this means that the Hispanic Spanish group has more probability mass concentrated on the typically Mexican interests, which are eliminated as we increase the top dest percent."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Sub-demographic comparisons\n",
+    "Now let's compare the assimilation scores across demographics, across ethnic groups (??!)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 230,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "testing count var mau_audience\n",
+      "processing group US_African_American_music\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_white_music\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_Hispanic_music\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group Hispanic_Spanish_non_expat_music_interests\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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6xHQVxKcOHyX8QbqasKLCS83sJZNmDNRy3Si1jZl1Ex7xPwCc4u6XufuduXyzfgzXkfvjdrL3bcquN57i7j9399e7+0mE6U3PI6zKtAj4mOXWSK/AvLg21pGbGXOSp30uVCE9146KU1WmzAz1ZV30ytEWYpq4+z53/w/CescAx1d4Se9pk6hJ067KTXdInYwfV8j3jNotnRG+F7ePNLMjJpWsP/syv8tNEWmkwguLZvYwxhyYH2WSJm3v2K9PKJc2m7j779z9tcAnY9Rkx9Z8JW33RWZW9kVHCx9yOiInP9ukc0qPiU88psMGYA3hJa9TGXv58wM1nEe1XDfKHcM3TjJXeLLrxoNxu1BGaNMXJ1dM8sf6sbUqc/dRd/8iY4McKwlPlKoxn66N02HSfvexL/JCWOe6HqTn2mLC+bJf1NCX0zrWp3uMyNEWogaqjJDenYoxNpctS6+ZvbSMzlbGnPRP5ZJvi9tjy+RbTFhfdjb5BmFeaAH413oUYOGrY7U4junXHe8mjBKWY1OFOcyb4vYa4KeZ+IrtHdkMzMQLNjVR5XiDsWNuvk+/KMdPCB//AXhtBZktcbuHsKTYXPANxubdvmuyaTpmNuElMzN7OGE6EsA58QXPtxDq0wJsqzLP/sVm9tAyep/K2AuY2etGegy3m9mKMvmOZezcKUe6ysJk75vMJ35FeJRvhFHGccQ/1aeVy1jj9RxqO7/qfm2sM7X0+7a4Pc3MTppMWblzoRru/kvG/rC8vcKAVar/UDMrZvan05dV6zyTx4gcbSFq4yoze6uZPTY9AS3wOMIapRC+pHVrmby3AR82s5enj8XM7JHAZYQpJzcQ1iDNks5DfqeFz3BbzPdYwoV9ObNIHNX4f3H3pWb2n9GRINq10sxeZbnPSU+RQ4DLLXwq/WwzOzpT70YzW21mnyJ88ADgIne/q4yeuwgf7PhI6nCY2VIzezvh4w0Q1knPrgSTtvdzzOy1ZnZYzNdmZv9KcNDLLWFXL54d2+FVZlZ6JG1mh5nZqwgfwIBwDC0oYru/Lu6eauFzy8ug9GnyCwlTsiCsL/9gOT2zYOd9hJVCnLCc2E4ze3zmmGwws+PN7G2E+fMl4uPkjxNeDLvM3d8fdd5PWAP/LsLo8sZJTBgFvmJmT4o6EzN7HmPvCnzN3bOr6/wP4QVSAz4ZHc303HkB4RjPTyXJkq4A8wKr8In3+UR8Apgum/kuM3tybKPEzNYQ6nt3hexft/BZ9KdaZvWo+ORiW9z9I2GKQDU7ZuPaWE9q6fePEBzhBPiimf1dHCgCwMxWmNlLLXye/u+macdGwh+nAeDbZvaMzP0yMbN+M3sd8BvGL7k3nb5M6/wIM3t8BXtm7BiZ0QXVFRTmMlDfL0NmP6d9P8HpGs3E3Qg8soKu7CfY76G2T7A/lLEvwKUfr0g/v30X4fFamtZbSx1yMpdT5iMFVP/M8D8y/hO0dzBzn2A/jPGfMPbYxjcz/tPcTviSXP7z4ycy9pGTv4+/H2TiZ3PfV6H8z2Rk0nxpuR+Z5NgolTtJ3Sq2a7l+BNbl6ntXzh4nfDm0oZquXHpvKjMD59ueqOvESWQq2sP4T7CX+7xxtU+w172OUd8rGf8Z6LsJLymPO1Zzed4S428GHlJG59mZfl1VoV3zn2DPnmeVPsH+/Fwb3p6x/VrCi7Vlj1Xg4RnZ+wijtHuAXfvRdhWP+1qPoyrnzkMZ++hXej1NP0b2Y8Ia/OWu8/lPid/C+E9/7wNOnkpdqOO1MerfEvVsm8lzotZ+B1Yw9lGZ7DXyjkyck/swETXcjzKyz2L8vfbe2L+juTJ69qcvY75vZWRujnXeAzxhf/SWCxrRFqI2TiU4zP8NXEeYSzZK+OLf2wif1r6yQt57CV9zeyPhZncIwYn+D+Ax7v5f+Qwelv96HGFU7AbCY8m9wCeAx3qFhf/rjbu/E3g04QWvPYT50PcQ2uE9wD/sh+67CCMVf0VYZeNnhAtbM+GidjXhwzXPdPcX+Pjl4/K63k1YDvBbhFGYewgjMi939w0Vsr0YOI8wMngfYWTwv4G/dPczpluvaTJCGPn8GKEd7iJMXbkZ+DphJZrneRghXZC4++sIH/v4POFmuphQv0uBZ7j7pkmyzxoePqJ0DPBuwkjY/YRj8mbgm8A/ERwZAMzsiYTPMwO82t2vK6PzA4SnEYcCH7fyL1T9GlhN+KT6bYx9qXKI8GW8CcvhefiwztMJo7l3EM7PawmfyH40Y0smlqvnLwkj91+N5XUQXvDrrJRnronXyccDOwjX1AKhjm8hTK+5vULWM4HXE/rvfxlbku6XhFWHBtz9GxXyVrKlbtfGelJrv3t4If9phKdpXybclxYTrpO/JAxGPBt4637Y8hXgaMKf8B8R2m8poR+/Q/gs+ip3vzaTbbp9+QLCk+TfxXr0xJC+XDtjx4hFz10IMcOY2TaCQ/QGr7D0l5g5zOxEwkXxWnfvnVtrhJgeZraHcMM/yd0vn1trhBD7i0a0hRBCCCGEqANytIUQQgghhKgDcrSFEEIIIYSoA9P6Ao8QQkyGmV1fXWoc73D3d9TFGFGRuHTcZ6eY7QXu/p162FMPDoY61hsz+yzwpClk+Y671+vjJgsaXRsPPuRoC1En3P10wpJQByNT/dTz4v0tML44tlC+ajdfOISp91W1j+nMNxZUHefpi7ytTK0NW6uLHLTM+rVRzC1adUQIIYQQQog6oDnaQgghhBBC1AE52kIIIYQQQtQBOdpCCCGEEELUATnaQgghhBBC1AE52kIIIYQQQtQBOdpCCCGEEELUATnaQgghhBBC1AE52kIIIYQQQtQBOdpCCCGEEELUATnaQgghhBBC1AE52kIIIYQQQtQBOdpCCCGEEELUATnaQgghhBBC1AE52kIIIYQQQtQBOdpCCCGEEELUATnaQgghhBBC1AE52kIIIYQQQtQBOdpCCDFNzKzXzNzMttRB95aouzcTd3qMO7EO5dWtLqJ2Yh9sm2s7hBAzgxxtIcQBg5m1mNk90Vl5+VzbM9+IzvQWMzturm0RQoiDgYa5NkAIIWaQ9cAhwO+AM4CP17m8a4FDgfvroPvNwNuAe2dQZy/wemAP8JNcWj3rIoQQByUa0RZCHEicAXwTeDfwNDM7sp6FeeAed59x59Td74+6faZ1VyivbnVZqJjZkrm2QQixsJGjLYQ4IDCzxwDHAR8DPgHcB7yyguxzzOxbZnaTmd1tZv9rZp81s6MzMl1mdrGZXWtm95rZDWb2HTP7y4zMhHnN2Tgz+3Mz+0ks49dm9soo021mnzazW8zsDjP7eN6pKzdHu0JdlpjZm83s+7E+98ay3mZmh2XkTif8CQH4aNTtZnZ5pbrE+AYzO9fMfhGn5dxsZp8zs2Nzctl6P9fMfhjl/2hm/2pmNT1BraVvolyHmV1oZr/N9M/XzOzPcnJPjfG3RX0/MrMzypR7uZntMbOHpn0D3J5JNzMbNLMrzOyu2G/fNLOTyuj6CzP7gZntNbN90cZPmFlbLW0QdTzDzL4Xy7rezN5jZosy6f8Y2/sZZfIW47H1jRrKOdvMdprZH8xsNPbXx8sdd2ZWMLN/jufEPWZ2pZm9uNKxamYrzezfYh+Omtl1ZvYhM1uRk2s1s3eZ2W8yx9gVZnZOre0lxHxFU0eEEAcKZwD7gM+4+z4z+xLwl2b2L+7+YCpkZk8DLgV+BpwP7AUeAjwDeBjwq+gUfg04AvgA8CugGXgk8BSCM1+N5wKvjvlvifZdbGajwFuBEeC1wGOBvwLuAc6cRr2PiPk+AwwTpn48DXgN8GhgbZT7r1jua4EPAd+O8X+qov8TwJ8T2uPfgA7gb4DvmtlT3P3HOflnA2cDW4GLgVOBfwJujeVXpJa+iXK9wH8D7cB2YDewCHhClP1alHse8DngemAIuAN4CXCRmT3U3TfnTFgMfCvq3gxkHcJ/B14KfBr4KFAkTFX6mpm9wN0vjWW+nHB8fBv4F+BuoBt4VtR342RtEHkM8ELgw7F+JwF/CwyY2Z/F4/ljhPY8A/h6Lv/zgRbgIzWU9U/A94ALCcfpAOF4erqZHevuN2dk30c4pr8JvANoIxzfv8srNbNu4LuEqVwfAX5D6MNB4CQzW+3ut0XxTwFPBT4I/BQ4DHg4cCLwrzXUQYj5i7srKCgoLOgANBGchG2ZuFMBB56Vk31njF8xib5HRpnXVCm3N8ptKRO3D+jJxLcRnOkHgX/M6fksMAoszsRtiXp6M3Gnx7gTM3GHAI1lbHtTlH1cJu7EGHd6jXX5sxj3ScBy7XM/8O0K9c7abMBVwB9r6MeqfRPlvhzl1pZJS+K2QJh3vhd4SK69/ht4ADgqE3951PnmMjqfH9POysU3EJz836XtE/vydqBhmseyx7AuF/+eGP+STNxwPKZac7JfI5wPTTWUt6hM3Mn54x/oj3FfTds4xh8b2zJ/rH4euAHozOleHY+dLXG/Oeb9wHTaS0FhvgdNHRFCHAi8gDCClx1p/hLhRv9XOdl0FO20SaYzpDIn5R9zT4FL3P3adMfdbwSuJjja78/JfhtoJDirU8LdR939PihN82gxs+WMjXI+fhq2pzw/bt/i7qW54u5+JfBF4MllpkNc4u57MrJOGAHtMLPFVcqr2jdm1go8E/iqu1+WT/expxfHE0aSL3b36zLpo4RR0oTwZyzPO8rEvZwwGn6JmS1PA7AU+AKh347K1OEw4DlmZpPUdTKudvdLcnFvi9vnZ+I+xNjIOlAa7T8Z+IS731OtIHffF/MlZtYc6/XTWI/ssfPcuH1Ppo1x958B4/rBzJqj/KXAPbk22wP8GlgTxe8mvPD7+HLTVYRY6MjRFkIcCJxBeCT/f2b2MDN7GMH5+RpwSrzBp7wP+DFxSoeZfdnM/jbrMEYH+S0EZ+CPcb7oBWb22CnY9NsycbcSRnbzK4ncGrfLpqC/RJxneyXBYbmF0BaXx+SW6eiM9BH+GPxPmbSrMjJZytU7nX5QrX5V+4Yw/cCi3GSkdv28TFpq+0Nz8Te6+94y8quAJYRpNjfmwpYo0x63byWMpF8C3GhmnzGzM21qL1ZOaG93/yNhdP6hmbjLCdNpsnPOX0lon4tqKcjMnm5hnv6+qD+tVzPjj520Pa8uoyYfdwzBv0jPy3w4hthe8Y/P3xOmrPzOzH5uZu81s5NrsV+I+Y7maAshFjRm1keYw2rEObxleDlhJRLc/eboMD+FMDXiqcC7gDeY2bPd/btR7nVmdjHwnCh7JnCOmV3g7ufWYNoDU4wn1mFKmNk/EuYf7yTMs72OMA3lCGAb+zegMp0R2WnXr8a+SXVUW41lOrbfNYmuG4GXTZL3KgB3v8bMHkEYVT6ZMF/+w4Q6PNXdf1ODHZXqVq5OHwb+1cyOJ/z5OB3Y7e4/rVZIbOudhBHm8whTYO6O5f8H44+dqbRnKvtxKr/PcHf6w923mtnnCefa0wjz0zeY2Sfd/SVTKFeIeYccbSHEQicdwXsVYUQuz5sJI2vvTiPc/QHCiO/lAGb2SOAK4HWEm30q91vgvcB7zayJ8Ij8NWY25O431KEu0+EVhMfxz/LxL30+s4zsVJcK/A3hZcpVwJW5tEfE7YQX4faHGvrmGkI9Hl1FVerQ9pdJS20vN/pejmuAo4Hvufud1YTjE4svx4CZPZswlekfCS+SVuMR+QgzW0kYZc7bvI3w9OUMwrzobsKLpLXwMsJc9me5e6kf4+om+SchafoxZWw4Jrf/a0IfHeLu+Rc1yxJH7C8ivKhaIL58Gs+1H9aiQ4j5iKaOCCEWLGaWEEbwfubuF7n7p/MB2EFYreGxMc/yMqp+SRhha40yzWbWmBWI813TR/r7Mx1jpklfRCuNOMb5zeeVkU2dxNYadafzhDdl5xub2QBwCrArzj2fEWrpG3e/BfgK8Cwrv7RdauePgP8FXmlmHZn0RuAcQpt9vkbTthPul2UdWDNrz/wuV4cfxW2t7X6Mma3LxaVPUcbN3Xb3m2Lcy4ANhFH54RrLSZ8+5EerX8tE/+ALcft38bwLGcMyj2uzgh5WKvky8AIze0K+UAu0xd+HWWYZypj/Acb+2NXaZkLMSzSiLYRYyKwBuph8GbPPEObRngH8EPiwmXXjQK9rAAAgAElEQVQSHpmnX0N8MWEO7vaY5yTgQ2b2GcL80zsJL9edCXzf3cvNU50rPk1wAL9iZp8FDic4XfeVkf0F4aW+s83sLsITgBvcfaScYnf/mpn9J2FJvBYz+yJjy/vdQ1hybiappW8gOJTfIdT5Y4QR70MJL+/tAc519wfMbANheb8fmtmHCHV/MWEZwLe6+zW1GOXunzazjxKmMzyG8CLoTUAn8ETCvPF07vROM7uNsJzi7wkvTJ5OcOz/vcZ2+BnwcTP7MGE0/STCdIpvEVaAyfMhwhKMzwU+5u63l5Epx+eAfwC+HNtnlDBl55GxfiXc/edR5izg62b2OcJKOn9DmLJyPOOfmAwCu4D/MrPtUSYhtNOphP7cQnhS8K2o7yrC+wqrYv7fMbYMpRALk7le9kRBQUFhuoGw/q4Dx1aRu5rgVB5KWKHkUuD/CC8P3khwYE7LyPcR1oH+H8JSbfvi7zcCzRm5Xiov77eljB2XA3vKxJ/OxGX7tlDb8n4FYBPhcf29BAf1AoKzMsEOwjrXPyI4yg5cPpndhAGZc2P905ctL8m3eZV6T6hLhX6q2jcZ2SNiH/0vwUH8E8FBPzkn9zTCS7G3xzr/GDiz1r7JybyC4PiluvYQlvN7cUbmVbG866NdfySM7p5U4zHthOkgzwC+TxjN/xNhCtOSCnmMsSk1T5niObSO8EdlH8G5/g/C9JM96bGRO9ZeH9v8XsKo858TVmqZsCwjsJywwsuvYnvtJfyJeA/wiCizjDAP/ycx/W7CsfxuYOVsX1MUFGY6pOt+CiGEEGKBYmY/Bwru/vA5KPsLwNOBwz1M+xBCRDRHWwghhFjAmNnTCS9QfqjO5RxaJu6RhK9ejsjJFmIiGtEWQgghFiDRwT6SMHVoMXCku99Rx/JeDfwFYQWVGwmfST+LMGh3grtXW9tciIMOOdpCCCHEAiR+aObJhJdc/8bd6/rioJk9DngTcBxhNZA7CC88vsHdr6hn2UIsVORoCyGEEEIIUQc0R1sIIYQQQog6oHW0hVggLF++3Ht7e+faDCGEEPOEK6644iZ3b5trO0Rl5GgLsUDo7e1l9+7dc22GEEKIeYKZXTvXNojJ0dQRIYQQQggh6oAcbSGEEEIIIeqAHG0hhBBCCCHqgBxtIYQQQggh6oAcbSGEEEIIIeqAHG0hhBBCCCHqgBxtIcTcsqUZM5uz0NraOtctIIQQ4gBF62gLIeYcd5+zss1szsoWQghxYKMRbSGEEEIIIeqAHG0hhBBCCCHqgBxtcVBiZq81Mzez92Xi2s1sm5ldZ2Z3mdlXzeyoKep9nJl9zczuNLM7zOw7ZrY8k74nlpsNb5vJuon5haamCCEWOmb2TDO72sx+bWbnlUkvmtknY/r3zaw3xq83s59kwoNmdlwu76VmdtXs1GT2kaMtDjrM7AnAq4ArM3EGXAIcBawDHg1cC3zdzBbVqPfxwE7gcuAJwPHAO4D7cqJvBFZmwpunXxuxEBgYGMDMSJIEM6OpqYmNGzeyY8cOurq6xr2cmcqYGY2Njaxdu5aBgQEKhQJdXV0sXry47EudjY2NJEnCsmXLaGhoKMUvW7aMHTt2sGPHDpYtWzZOPrVhYGCAJEloamoiSRIGBgbYsWNH2brk5dP6pNt8/lQ+tb+rq4tCocDAwAAbN24sm5b+zpbR2NhYsr2rq6uifZNRyZZybVqujLVr15b6J0kS1q5dW7WcSm1ZSaaWvNOhXnrnS3kLhYXYLmZWAN4PPAt4BPBSM3tETuwM4FZ3fxjwLuDtAO7+CXc/zt2PA14B7HH3n2R0vwC4cxaqMXe4u4LCQROAZuA3wNMJDvH7YvzRgAOPysgmwA3AmTXq/g7wlioye4B/mo7txx9/vB+QvP7wOS0+XAbrw/DwsAO+bt06b2ho8MHBQe/t7fX169d7kiR+6KGHenNzs7e3t/tLX/pSNzMHfNGiRf6a17zGFy1aVMq/fft2P+ywwzwep97U1FT6DXixWPSmpqbSk5JzzjnHL7jgAi8UCt7U1OSHHnqoJ0niF1xwgX/5y1/21tZWNzNfsmSJb9682Xt7e31oaMj7+vp88+bN3tfX58PDwxPqk6an9WhoaPATTjjBGxoafP369d7b21vKv2HDBu/r6/ORkRHfvn27r1y50js6Onz79u2+efNmb2ho8M2bN49LGxwc9JUrV3pzc7MvX7681FaLFi3y9vZ2P++883zlypXe1tY2wb5qfZG1paOjw1euXOkDAwOlNmxubvbnPve5DnhjY+O4MtasWeOADw4O+t69e31wcNABX7NmTcVyRkdHfWRkZEJbVpLJtlelvNOhFptmktkub6FQj3YBdnv975tPBC7L7G8CNuVkLgOeGH83ADcBlpN5a/YeCSwGdhGc96vqXY+5CnNugILCbAbgk8Db4++so31svNkek5P/PbCtBr0rYv4N8cLxJ+DbwMk5uT3A9cDNwE+AzcAhtdguR7s+1NPR7u/vLznBQ0ND7u4+MjLi/f393tHR4YD39vaW4gqFgre0tHhvb6/39/d7b2+vt7S0eLFY9P7+fm9sbPQkSbxQKJQc40Kh4EmSeGNjowNeKBR8aGjI+/v73d19aGio5EimNqR2FAoFb2xs9P7+fh8ZGRlnX7rN1yefPjQ0VKpfPr1YLJb0pnFpepo3/Z2mpXl6e3tL7dDe3j6undL0vH3V+qKcLYC3tLR4R0eH9/b2uruXnOhsGWbmg4OD43QODg66mVUsJ9vWWVsryWTbq1Le6VCLTTPJbJe3UKhHu8ySo/1C4KLM/ivSe2cm7iqgM7P/G2B5TuY3wEBm/13A84FeOdoKCgdAIEwXuSJ1bHOOdmN0gj8DtAKHAOdGB+WyGnQ/IcreDPwVYerJW4H7GT9K/o/AScAjgTPjv/6LJtF7FrAb2N3d3e0HJPPA0Z6NsG/fPnd3Hx0d9SRJPEkSB9zMSnFAKS0rk8Zn9SVJ4vv27atYVpIk7u7jZFIbUjuyukZHR8fZl26zZOPTbao/LTObDpT0pnHZ+qd5smlpHjMb1wblys7bNxnZOubLS/WnTvPevXtLfZOWAfjevXvH6UzlKpWTbeusrZVksu1VKe90qMWmmWS2y1so1KNdZsnRflEZR/u9OZmfl3G0l2X2Hw/8LLN/HPCF+PuAdrQ1R1scFJjZMQTHd727j+bT3f0+4DTgSIKzfBfBIf4K8EANRaTn0gfd/WJ3/7G7vxb4AfDqTDnvdPdvuvuV7n4RcDZwhpktK6fU3T/k7qvdfXVbW1vN9RVTo14X2P7+fgCKxSJbt24FYNeuXaxatYoVK1YA0NPTU4orFAo0NzfT3d3NqlWr6O7upqWlhWKxyKpVq0rzsAuFAt3d3WzdupVCoUCSJDQ2NgJQKBTYunUrq1atAiiVm/+9a9cuCoUCjY2NrFq1il27do2zL91mycan261bt5bql08vFoslvWlcmp7mTX+naWmenp6eUju0t7fT3d09TneaVivZOmbLA2hpaWHFihX09PQAsGnTplLfpGWYWSk+ZdOmTRNeds2Wk23rrK2VZLLtVSnvdKjFpplktstbKCzgdvk/oCuz3wlcV0nGzBoI0zRvyaS/BMhOSH8icLyZ7SE8BT7azC6fUavnC3Pt6SsozEYATieMXN2fCQ48GH8XM7LNQFv8/X3g/TXo74v6Xp6L/wjwpUny9cR8j69WhqaO1Ac0R1tztDVHe0bRHO3yLOA52g3Ab+N97hDgp0B/TuZvgK3x90uA/8ykJQRH/KEV9PdyAI9oz7kBCgqzEYClwEAu/BAYjr+tTJ6jCKPZa2rQb8AfgDfl4r8NfGCSfKfGm3x3tTLkaNeHejraqf50rnbqSBeLRd+wYYMPDw97Z2fnOIc5lQG8oaHB16xZ4/39/Z4kiXd2dpac73xoaGhwM/PW1lYvFAql+NbWVh8eHvbh4WFvbW0dJ5/a0N/f72bmxWLRzcz7+/sr3vzz8ml90m0+fyqf2t/Z2elJknh/f79v2LChbFr6O1tGQ0NDyfbOzs5pOSeVbCnXpuXKWLNmTal/zGyCk12unEptWUmmlrzToV5650t5C4WZbpfZcLRDMTwb+BVhSsjmGPdG4JT4uwn4FPBrwpPch2byngh8bxLdB7SjbbGSQhx0xMdUV7n7hrj/IsKc6WsJL0e+B7jC3U+rUd/fA28gzL3+MfDncX+1u//UzJ5ImMv9TeA24LGEl0F2u/up1fSvXr3ad+/ePaU6Lgi2NMOW2+aseDOjntfBeusXQhy8mNkV7r56ru0QlWmYawOEmEesBN4JtAN/BLYDb6o1s7u/28wOAYaAZYSXQ57l7j+NIvcCLwZeDxQJDv2HgQtmqgJi/iEnWwghDl7kaIuDFnc/Mbd/IXDhfuq8gAqOs7v/iDCiLYQQQoiDAK06IoQQQgghRB3QiLYQNWBm64EPVki+1t37Z9OeA438EmmzSUtLy5yVLYQQ4sBGjrYQtXEpYam/ctw3m4YccGy5Dd8y10YIIYQQM48cbSFqwN3vAO6YazuEEEIIsXDQHG0hhBBCCCHqgBxtIYQQQggh6oAcbSGEEEIIIeqAHG0hhBBCCCHqgBxtIYQQQggh6oAcbSGEEEIIIeqAHG0hhBBCCCHqgBxtIYQQQggh6oAcbSGEEEIIIeqAHG0hhBBCCCHqgBxtIYQQQggh6oAcbSGEEEIIIeqAHG0hhBBCCCHqgBxtIYQQQggh6oAcbSFEfdnSjJnVJbS2ts517YQQQoiKNMy1AUKIAx93r4teM6uLXiGEEGIm0Ii2EEIIIYQQdUCOthBCCCGEEHVAjrY4KDCzvzGzK83s9hi+a2bPyaS3m9k2M7vOzO4ys6+a2VHTKMdiXjezF+bSjjazS8zsJjO7w8y+Z2bPnIn6if1DU1CEEELUAzna4mDh/4BzgccAq4ER4BIze6QFL+sS4ChgHfBo4Frg62a2aIrl/D/ggQppXwSagJNjGbuAz5vZkVMsQ9SRtWvXkiQJZkaSJHR3d9PY2Fh6AbNQKJAkCV1dXXR1dZEkCU1NTeNe0kzzFQqFUlxDQwNr166lq6urFNfV1cWOHTvYuHFjSUdTUxMbN26c1C4zY/HixaWykyRhYGCAHTt2VKxXpTJ27NjBwMAAhUJhnI5qNpVLL6crH7dx48ZxbbBs2bIJ7ZjWs6mpibVr1zIwMFD2ZdhULmt3pfpk08qVlQ+pXXk9k+nPU63uaf8fSEylfQ4G1B4Cd1dQOCgDcAvw18DRgAOPyqQlwA3AmVPQtxr4PbAi6nthJm15jDspE9dAcMpfWIv+448/3hckrz+8bqrDJWzm9KxZs8YBHxwc9L179/rAwIADXigU/JxzzvGWlhZPksSbmpq8ubnZly5d6m1tbX700Uc74I9+9KO9p6fHOzs7Pfa3n3/++X7++eeX9g877DDfuXOn79y50zs6OvzQQw/1JEl8aGjI9+3b50NDQ97Q0OAbNmwo2Ze166KLLvIlS5Y44IceeqgPDQ15b2+vb9682fv6+nx4eHhC/TZs2OANDQ0TylizZo339fX5yMiIj46O+sjIiPf19fmaNWvKyqc2ldOXJIkvWbJknK62tjZva2srxW3evNmTJPHm5mbfuXOnb9q0yQuFgh966KG+fPlyP+GEExzwk08+2Xt6ekr7bW1tDnhvb68D3t7e7oB3dnZ6Q0ODr1u3zvv6+nzDhg1l6zM8POzDw8Pe19dXaqdUd39/vydJ4g0NDQ74k570JF+6dKmbmTc3N/v27dtLeibTnyctL1/3pUuXjuv/tra2svkXIvk6T9Y+BwOz0R7Abp8H91OFSXyDuTZAQWG2A1AAXgKMAsfG4MAxObnfA9tq1LkEuAZ4dtzPO9oG/AK4GFgcbTgb2AusrKUMOdoTmWlH28x8cHCwFF8sFr2pqankkI2MjPjQ0FDJ6UuDmfkpp5xSkjGzkmOdkjqHjY2NpbiRkREHvKOjY5w9Q0NDXiwWS/tZu9IyWlpaSvpHRkZK8f39/RPqVywWfWhoaEIZZuYjIyPj4lP7y8mnNpXT197ePq5u7l5qn5T+/n5vb28vxfX39/vQ0JA3NjZ6b2+vF4tFHxwcLNUl3U//ZKT7xWLRTznllJKdxWKxJF+uPv39/ePaJ6u7WCyWbE/3e3t7vaOjw3t7e0vtWU1/nrScSnVP82bLWOjk6+xeuX0OBmajPeRoz/8w5wYoKMxWiA71ncD90cF9ToxvBPYAnwFagUMI00wcuKxG3Z8A3pvZH+dox7gjgB8AD0YbbgCeWEXvWcBuYHd3d7cvSOrsaM9USPXt3bu3rP4kSXx0dNT37dtX2k+SpORU33jjjSWZvF53L+t8p7JJkoyrV1pG1o7UrrSMJElKMul+ui3XTvv27Stbxujo6Lj41KZK8pX0pfXLx2XtSW1O45IkKelN8+/du3dcO+7du7fs9sYbbyzZkdajUn3Svsq2U1ZXGtL91O40ZNulkv48aTnZ/Xx7jI6OTohbyOTr7F65fQ4GZqM95GjP/6A52uJg4mrgOOAJwL8BHzOzAXe/DzgNOBK4GbgLOAn4CpXnW5cws1cAjwLOmUTGgA9E/U8BHgd8GviMmR1RKZ+7f8jdV7v76ra2tpoqebAxExfCFDNj06ZNpf1isUhTUxMAq1atYteuXWzduhWA7u5uuru76enpwcw444wzSjLlXq5csWIFAI2NjaW4Xbt2jUtL2bp1K8VisaxdaRnNzc3j9KTxq1atmlB2sVgs2Z0tw8xKNmR1mVlZ+dSmcvpWrFgxrm4APT09dHd3l/ZXrVpFe3t7KW7VqlVs3bqVxsZGenp6KBaLbNq0qVSXdB9g06ZNpf1iscgZZ5xRsrNYLJbky9Vn1apV49onq7tYLNLe3k5jY2Npv6enhxUrVtDd3V1qz2r686TlZPdTndm8PT09ZfMvRPJ1hsrtczCg9hCARrQVDt4AfB34SC6uGWiLv78PvL8GPdsYG6VOgxOc9F1R5uQoszSX9xrgdbXYq6kjE0FztDVHW3O05w2aoz0ezdFWcNfUEYWDOBBWHvl4hbSjoqO8pgY9RwADueDAPwAPjTLPi4724bm8VwP/Uou9crQnMtOOtntwatNpDGbmXV1dJSeMOO3BzLyzs9M7OzvdzLxYLI6bgpDmS6dKpM76mjVrxjnhnZ2dPjw87Bs2bCjpKBaL45zscnYBvmjRolLZZub9/f2T3sArlTE8PFxyNrM6qtlULr2crnzchg0bxrVBa2vrhHZM61ksFn3NmjXe399fdrpPKpe1u1J9smnlysqH1K68nsn056lW97T/DySm0j4HA/VuDzna8z9Y6CchDmzM7G3AlwgvOC4BXkaYh/0cd/+Kmb0IuImwrN+xwHuAK9z9tGmW58CL3P3TcX858EvgW8AbgbuBVwF/Dzze3X9UTefq1at99+7d0zFnbtnSDFtuq4tqM2MmrmEzpUcIIWYTM7vC3VfPtR2iMg1zbYAQs0QH8PG4vQ24EniWu18W01cC7wTagT8C24E3zVTh7n5T/DjNWwgj6Y3A/wDranGyRX2Rky2EEKIeyNEWBwXufnqV9AuBC2ewvAlvw7n7bmDtTJUhhBBCiPmNVh0RQgghhBCiDmhEW4gqmNl64IMVkq919/7ZtGchUm65u5mgpaWlLnqFEEKImUCOthDVuZSw1F857ptNQxYkW27Dt8y1EUIIIcTsI0dbiCq4+x3AHXNthxBCCCEWFpqjLYQQQgghRB2Qoy2EEEIIIUQdkKMthBBCCCFEHZCjLYQQQgghRB2Qoy2EEEIIIUQdkKMthBBCCCFEHZCjLYQQQgghRB2Qoy2EEEIIIUQdkKMthBBCCCFEHZCjLYQQQgghRB2Qoy2EEEIIIUQdkKMthBBCCCFEHZCjLYQQQgghRB2Qoy2ECGxpxsxmPbS2ts51zYUQQoi60DDXBggh5g/uPutlmtmslymEEELMBhrRFkIIIYQQog7I0RZCCCGEEKIOyNEWBwVmtsnMfmhmt5vZjWb2BTMbyMm0m9k2M7vOzO4ys6+a2VFTKOPDZvYbM7s7lvF5M1uVkznazC4xs5vM7A4z+56ZPXOm6inGo2kpQggh5hI52uJg4UTgA8CTgKcD9wNfN7NWAAse2SXAUcA64NHAtVFmUY1l7AZOB1YBawGL+RszMl8EmoCTYxm7gM+b2ZH7UTcxCTt27KCrq6v08mVjYyNJkjAwMMCOHTtKMgMDAxNe1Fy8eDFdXV0kSUJTU9OE9GXLlrFjxw527NjB4sWLx6WtXbu2ok1r164lSRLMjCRJysqmNhUKBbq6uli2bFlJd1dXV8n2yfJl6zidstN6J0lCV1cXXV1dFfWWszmVX7ZsGQ0NDSX7C4XCOJ1JktDY2FjxhdmmpqZx9U9lU9sGBgbYuHHjuHrn97P2lqtfmid7rGTbuVq7VpKplq8WvfOJhWbvbKK2EWVxdwWFgy4Ai4EHgOfF/aMBBx6VkUmAG4Azp1nGI6POY+L+8rh/UkamIdrxwmr6jj/+eK8rrz+8vvorEC5D9dPd1tbmK1eu9PPOO887Ojq8paXF29rafPPmzd7X1+cbNmzwvr4+X7dunSdJ4osXL/b29nZ/0pOe5IA3Njb68uXL/YQTTnDAm5qavL293V/2spd5oVDwpqYmb2xsdMDPOussv/TSS33x4sUO+Jo1aybYtGbNGgd8cHDQ9+7d64ODgxNkh4eHva+vz0dGRnz79u3e3NzshULBzzvvPN+5c6d3dHR4W1ubDw8Pj9OdzTc6OuojIyPe19dXkptK2Zs3b/be3l4fGhrytrY2X7p0qXd0dPj27dsn6C1nc0dHh69cudKf8YxnuJl5kiT+3Oc+11taWjxJEm9qavKlS5d6c3OzL1myxFtaWkr1jOeJv+hFL/JisVjaP+WUU7y9vd0XLVrkSZL4+vXrvbe319etW+cNDQ2+efNmHx0d9c2bN4/bz9pbrn7Z/m9ubvadO3f6zp07feXKld7W1lY6Riq1a6W2b2tr87a2tor5qvXXfGOh2TubzFXbALt9HtxTFSbxBebaAAWFuQjAynjzfnLcPzbrFGfkfg9sm4b+RcC7CKPixRhnwC+Ai6OjXwDOBvYCK6vplKM9Pd29vb0+MjLi/f39PjIy4iMjI97b21vaLxaLpW17e3tJplgslhzR3t5eLxaL3tLSMk7f0NBQyQkcHBwslTsyMuItLS1uZhNsMrNxsu7ug4OD42RT29LfqUPY399f0p/WIUs2X9aWVG4qZWd19fb2jqt3Xm85m9N2NDNvb2/3oaGhUlun7ZbqbWxsLNUJ8MWLF3tHR0ep7kmSOFDK39vb6+3t7eP6MNs+ad9k7UvtLVe/bP/39vaOy5P2/WTtWqnt0/pVyletv+YbC83e2WSu2kaO9vwPc26AgsJcBOA/gR8DhbjfCOwBPgO0AocA50Yn6rIp6D0buDPm+yXwsFz6EcAPgAcJ01duAJ44ib6zCFNSdnd3d3tdmUNHu54hSRIfHR0tbUdHR0sjrKOjow6UtunvdH/v3r0OuJmV1bdv375S/N69e0t1yuorV9+srLuXyklJy0h/p2UlSVLSn9YhSzZf1pZUbiplZ3Vl2ytrQ7b8vM3ZdjSzUluNjo6Wfqd60/i0ndP4NGT7M5XL92G2ffLtlbW3XP2ydmb/dKRyabmV2rVS2ydJMuHPVjZftf6abyw0e2eTuWobOdrzP2iOtjjoMLN3Ak8GTnP3BwDc/T7gNOBI4GbgLuAk4CuEqR218gnC3OunAb8CPmVmh8VyjTBP/GbgKcDjgE8DnzGzI8opc/cPuftqd1/d1tY21aouGOp1gQPo7u5m165drFq1il27drFr1y56enpK+8VisbRtb28vyRSLRTZt2gRAT08PxWKRlpaWcfq2bt1aqkMqC7Br1y5aWlrKvoxpZuNk07xZ2dS29Hd3dzdbt25l1apVJf1pHbJk82VtSeWmUnZWV09Pz7h65/WWszltRzNjxYoVbN26tdTWabulehsbG0t1Ali0aBErVqwo1T1Jwq0qzd/T01NKT/sq2z5p32TtS+0tV79Ux4oVK0o2pPHd3d2lciu1a6W27+7uHqcvn69af803Fpq9s4naRlRkrj19BYXZDITpHH8EHj6JTDPQFn9/H3j/NMs6BNgHvCLun0wYyV6ak7sGeF01fZo6Mj3dmqOtOdqaoz0zLDR7ZxPN0VaoFObcAAWF2QrAe4A/AatqlD+KMJq9ZprlFQkj42fG/edFR/vwnNzVwL9U0ydHe3q6h4eHvbOzs+SsNTQ0uJl5f3//OIenv79/wrSTRYsWeWdnp5vZOIcvDa2trSXnbdGiRePSyjnZKWvWrBk3TaKcbGpTkiTe2dnpra2tJd2dnZ0Vb+DZfNk6TqfstN5m5p2dnd7Z2VlRbzmbU/nW1tZxDnQ6pSKVMTNvaGioOP2nWCyOq38qm9rW39/vGzZsGFfv/H7eKc7XL82TPVay7VytXSvJVMtXi975xEKzdzaZi7aRoz3/g4V+EuLAxszeD7yCsHTfLzJJd7r7nVHmRcBNhBcYjyU45le4+2k16H8YYerJ14EbgU7gPMIUkVXufr2ZLSfM2/4W8EbgbuBVwN8Dj3f3H01WxurVq3337t0113nKbGmGLbfVT38FzIx6XYfqqVsIIeYaM7vC3VfPtR2iMpqjLQ4WzgaWAN8gTB1Jwz9lZFYC2wnO8IXAvwMvrVH/vYS1ur8C/Br4JHAH4UXH6wHc/SbgmYQVR0YILzk+FVhXzckW00NOthBCiLmkYa4NEGI2cPeqnwh09wsJDvZ09P8eeFYNcrsJH7MRQgghxAGORrSFEEIIIYSoAxrRFqIGzGw98MEKyde6e/9s2lMvyi1HV29aWlpmvUwhhBBiNpCjLURtXEpY6q8c982mIXVjy234lrk2QgghhDhwkKMtRA24+x2ElxuFEEIIIZ1KAkQAACAASURBVGpCc7SFEEIIIYSoA3K0hRBCCCGEqANytIUQQgghhKgDcrSFEEIIIYSoA3K0hRBCCCGEqANytIUQQgghhKgDcrSFEEIIIYSoA3K0hRBCCCGEqANytIUQQgghhKgDcrSFEEIIIYSoA3K0hRBCCCGEqANytIUQQgghhKgDcrSFEEIIIYSoA3K0hTiY2NKMmc1aaG1tnesaCyGEEHNGw1wbIISYXdx91soys1krSwghhJhvaERbCCGEEEKIOiBHWwghhBBCiDogR1sIseDQlBQhhBALATna4qDBzJ5qZpea2R/MzM3s9Fx6u5ltM7PrzOwuM/uqmR1Vo+5WM3uvmf3SzO42s9+b2b+Z2bKc3NFmdomZ3WRmd5jZ98zsmTNYTSGEEELME+Roi4OJxcBVwN8Bd2cTLAyRXgIcBawDHg1cC3zdzBbVoPshwBHAa4BjgZcDTwV25OS+CDQBJ8cydgGfN7Mjp1elg5cdO3YwMDBAoVCgq6uLrq4uCoUCAwMD7Nixo5SeJAlNTU0TVkRpaGhg48aN4/QMDAywcePGsvtZPU1NTSRJMqHcrGxjY2PZlViSJMHMSnZOVq9aZdauXVuyrbGxkWXLlpVNa2pqYuPGjRV1LVu2rGR3amehUJhQh1r0Tlaf/YnbuHFjTeVWs2Hjxo0T+qirq2tce+/YsYOurq4JMvljZLr9uL/MRhnzocz5xMFefzEN3F1B4aALwJ3A6Zn9owEHHpWJS4AbgDOnWcazgQeBw+P+8ljGSRmZBuAB4IXV9B1//PG+37z+8P3XMQXCJaY+evv6+nxkZMS3b9/uK1eu9I6ODt++fbuPjIx4W1ubt7W1+ebNm72vr89POOEEB9zMvKWlxV/84hd7kiRuZr5kyRIfGRnx0dFR37x5szc0NPjmzZvH7a9bt857e3t9/fr13tDQ4OvXr/fly5d7c3Ozr1y50rdv3z5Odvny5b548WJPksSPOuooB7yxsdHNzE8++eSSXF9fnw8PD5fqNTw8XKrX6Oioj4yMVJVZt26dA75+/Xq/+OKLvaWlxQuFgg8ODo5L27dvnw8NDXlDQ4Nv2LBhgq7BwUEvFAq+aNEiX758uZ988skej1dftGiRH3744b5kyRJPksT7+vom1TtZfdK+mU7c4Ycf7kmS+NDQ0KTlVrPh8MMPdzPzRYsW+YoVK/yss87yQqHghx12mLe1tfnw8LAPDw97W1ubL1261Ds6OvyCCy7w9vZ2P+ywwzxJktIxUksflZPZX2ajjPlQ5nxiPtYf2O3z4J6qMIkvMNcGKCjMRSjjaB8bnYpjcnK/B7ZNs4yXEEbOG+K+Ab8ALiaMrheAs4G9wMpq+uRoj9c7MjLi7u79/f0+MjLiIyMj3t/f7+7uvb293tvbW0orFoueJIm3t7eX5IaGhkoOcEoan+pJ94vF4rh8/f39pTLS+KxsmjY0NORm5oODg97Y2OgdHR1ldWbLT+uVUk2mWCz64OBgyYaRkZGS/mxaSpqW11UsFn1oaGhc2yVJ4oVCYVxd29vbHZhU72T1SXVNJy5twyzlyq1mQ2NjY6leadrQ0JA3NjaW6p7vY/fQF9l+TJlOP+4vs1HGfChzPjEf6y9He/6HOTdAQWEuQhlHuxHYA3wGaAUOAc6Nzvdl09C/FLgGuDAXfwTwgzjSfX8cMX/iJHrOAnYDu7u7u32/mQNHu15hdHTU3d2TJPHR0VEfHR31JEnc3d3MPEmSUlo+X5Ikvm/fvlJcShqf6snKZfOlo+Gp/rSsVDZNT/f37t1bii+nM1t+Wq+UajKp/mx9s3VL01LStLwuwPft2zeu7VIdaX1GR0fdzKrqnaw+qa7pxKW2ZClXbjUb0nqldcrqSeuehqxMeiylaSnT6cf9ZTbKmA9lzifmY/3laM//oDnaQgDufh9wGnAkcDNwF3AS8BXC1I6aiXO6vwD8gTBnO4034ANR/1OAx8H/Z+/O4+SqyvyPf57qqlQgCQlJeon0Us2iNB0cMHEZcQcDokJUXDDMiKLMZOy4jxLjEhm3Qdvdnz2ogFGSUUGRcRwEbaO2CxJQARVcCe6CEIQoNsvz++OcW9y6qaqu7qS6upPv+/W6r+p777nnPOfc2+mnbp264SLgYjM7qEZc57r7Sndf2d7ePtluzQjN+IcLYGxsDICBgQHGxsYYGxtjYGAAgL6+Pnp7e8v7isUiuVyOzs7OcrmRkREACoVCOdZke1JPsl4sFiuOGxgYKLeRbE+X7e3tpa+vj5GREcyM9evXUygU6OjoqFpnuv2kX4mJyhSLRdavX1+OYWxsrFx/el8i2Zetq1gsMjIyUjF2uVyOtra2cn/Gxsbo6OgAqFtvvf4kdU1lWzKGadXanSiGQqFAW1tbuU9JPYVCodz3gYGBin5DOBfp85iYynncXdPRxkxocybZ1/svU9TqTF+LllYsZO5oZ/YtBNrjz1cCH55EvfOBbwDfBOZn9h1LuJO9KLP9Z8AbJqpbU0cq69Ucbc3R1hxtzdGeTjOx/+iO9oxfWh6AFi2tWOol2qkyhxHuZq9qsM4FhKeIfAtYUGX/00l9OTK1/UbgTRPVr0S7st7NmzeX5xF3d3d7d3e353I5HxwcLCdKg4ODbmZeLBZ3mXrS1tbmQ0NDFfUMDg760NBQ1fV0PcVi0c1sl3bTZfP5fNUpL8nUiyTOrGw8jZRZtWpVObZ8Pu+LFy+uuq9YLFZNhpO6Fi9eXI47iTM9hSRZGqm3Xn92Z9vQ0FBD7U4Uw9DQ0C7nqLu7e5eEubu7e5cy2Wtkqudxd01HGzOhzZlkpvVfifbMXyycJ5G9n5nNBw6Nq98G3glcCtzm7jeb2bOBWwmP9TsSeD9wtbs/q4G6FwCXAwcQHg94Z2r3be4+bmZLgRuArwNnE74o+RLgFcAj3f2aem2sXLnSt23b1mh3q9u4EDbesXt1TIKZ0Yx/Y5pVr4jIbGJmV7v7ylbHIbVpjrbsS1YC34/LfsBb4s9nx/3LgE2EZPgDwCeBUxusewXwKOAI4KfA71PLowHc/VbgBML0klHClxwfB6yeKMmWSkqyRURkNsi3OgCR6eLuWwmP2Ku1/wOEBHuP150qtw04fiptiIiIyOyiO9oiIiIiIk2gO9oiDTCzNcB/1di93d0HpzOe3RGeMjg9DjzwwGlrS0REZKZRoi3SmEsJj/qr5p7pDGS3bLwD39jqIERERPYNSrRFGuDud1L5JBERERGRujRHW0RERESkCZRoi4iIiIg0gRJtEREREZEmUKItIiIiItIESrRFRERERJpAibaIiIiISBMo0RYRERERaQIl2iIiIiIiTaBEW0RERESkCZRoi4iIiIg0gRJtEREREZEmUKItIiIiItIESrRFRERERJpAibaIyEy3cWGrIxARkSlQoi0iIiIi0gRKtEVEREREmkCJtoiIiIhIEyjRln2GmT3OzC41s9+amZvZ6Zn9/2FmN5jZTjO73cy+amaPnkT9Z5rZ18xsR6y/VKXMg83sEjO71czuNLPvmtkJu905ERERmXGUaMu+ZD5wPfBy4G9V9t8IvBQ4EngM8CvgMjPrbLD+/YHLgY11ynwRmAscCxwNjAFfMLNDGmxD9hLHH388uVwOMyOXy3H88cdPuo4tW7awfPly2traWL58Occffzxz587FzCgUCixZsqS8b8uWLQ3VsWXLlrrbknjTr/Xqn0z8E8WYy+WYO3cuuVyuaqxLliwpx5Rdenp6JhXjROPS09NDT09P3dgb7d+e1qp292YaU5kyd9eiZZ9bgLuA0ycocwDgwPGTrHtlPK6U2b40bn9ialseuA84ZaJ6V6xY4bJ3WLVqlQO+du1a37Fjh69du9YBX7VqVfUD3nzALps2b97s/f39Pjo66uPj47569WoHfM2aNX7eeef5gQce6G1tbb527VofHR31/v5+37x5c906RkdHvb293dvb26tuW716tefzeT/22GO9ra3Njz32WM/n87569eqq9ddTre16MW7YsMFLpZIPDw+X19Oxrl271s3MAX/Uox7l8+bN8/j75ieddJIvW7bM29vbG4pxonHZtGmTL1u2zLu6unzTpk1VY2+0f3taq9rdm83kMQW2+Qz4m6qlTk7Q6gC0aGnFMlGiDcwBXgPcAXROsu5aibYBPwbOI9xdbwP+DdgBLJuoXiXaew8z87Vr11ZsSxLFqqok2oODgz46OlpeLxaLvnbtWh8cHCzvGx4e9mKx6O7uo6OjPjg4WLcOd/dSqeSlUqnqtmKx6MPDwz44OFjxWiwWq9ZfT7W268WYLp+sp2MtFovlNxbFYtFLpZKvXbvW8/l8Ob5SqdRQjBONS7I/HW829kb7t6e1qt292UweUyXaM3+xcJ5E9i1mdhcw5O4XZLY/DfhvwjSQ3wPPcPfvTbLulcBVQL+735TZdxDweUIyfj9wG3Cyu3+nRl1nAmcC9Pb2rti+fftkQpEZyszYsWMHCxc+8HzsO+64g0WLFlH13+SNC2HjHRWb2trauPvuuykUChV1Ll68GIC7776be+65h3nz5uHu3HPPPcydO5f77ruvZh1AeepFulyy7f7772fnzp0sWLCAO++8s/w6b948xsfHd6m/nmpt14tx7ty55fJJOQg3i+6//37MDIAdO3awaNEizIzbb7+dRYsWAZTjAyaMsVpsbW1t5baS/UA53mzsjfZvT2tVu3uzmTymZna1u69saRBSl+Zoi1T6GnAU8GjgMuAzZrZsT1RsIRP4f8CfgccCjwAuAi6OCfgu3P1cd1/p7ivb29v3RBgyA5gZ69evr9i2fv36crLYiIGBAcbGxsrrxWKR9evXMzAwUN43MjJCsVgEYGxsjIGBgbp1APT19dHb21t1W7FYZGRkhIGBgYrXYrFYtf7JxD9RjOnyyXpvby99fX3l/re1tbF+/XqKxSJ9fX2sX7+efD5fjq+3t7ehGKvFlm4r2Z+ONxt7o/3b01rV7t5MYyq7pdW31LVoacVCA3O0Y7mfAW+cZN21po4cS7iLvahKG2+YqF5NHdl7aI625mg3y0yeTzxbzeQxRVNHZvzS8gC0aGnFMolE+xfAWydZd61E++kx0T4gs/1G4E0T1atEe++yatWqcmJoZrWTbPeqibZ7SAAGBwc9l8v54OCgr1q1yovFogOez+d98eLF5X21koJsHZs3b667LYk3/Vqv/nqqtVOvnJl5sVh0M6sa6+LFi8sxZZfu7u5JvxGoNy7d3d3e3d1dN/ZG+7entardvdlMHVMl2jN/0Rxt2WeY2Xzg0Lj6beCdwKWEedI7gNcC/0OYm91OeNTfGuDh7n5tA/V3AV3AEcCFwFOB3wE3u/ttZrYUuAH4OnA24RGDLwFeATzS3a+pV//KlSt927Ztk+my7C2qzNEWEdEc7ZlPc7RlX7IS+H5c9gPeEn8+G7gXGCR8UfFnhIR7CfC4RpLs6F9jfRfG9f+N6ycBuPutwAmEJ46MAtuAxwGrJ0qyRUREZPbJtzoAkeni7lsJj9ir5Rm7Wf9G6v9nNbj7NmDy/zOJiIiIzDq6oy0iIiIi0gRKtEUaYGZrzOyuGsuPWh2fiIiIzDyaOiLSmEuBK2vsu2c6A5F9kL4IKSIyKynRFmmAu98J3NnqOERERGT20NQREREREZEmUKItIiIiItIESrRFRERERJpAibaIiIiISBMo0RYRERERaQJz91bHICINMLNbgO2TOGQhMNnnwk3mmInKTnV/te3Vti0Fbp0gxmabyhjvyboaPaaRcvXKTOZc1dre6vPV6nM1meNafb5afa6g9edruv4tnOy+7LY+d29vJEhpEXfXokXLXrgA5zbzmInKTnV/te01tm2bjWPcivPVSLl6ZSZzrmbq+Wr1uZpN56vV52omnK/p+rdwsvv25LhomZ5FU0dE9l7/0+RjJio71f3Vtk+lL9NhT8bVzPPVSLl6ZSZzrhptb7q1+lxN5jidr9afr+n6t3Cy+2biuZI6NHVERGYlM9vm7itbHYc0Rudr9tC5EtlzdEdbRGarc1sdgEyKztfsoXMlsofojraIiIiISBPojraIiIiISBMo0RYRERERaQIl2iIiIiIiTaBEW0T2OmZ2sJl93MwuanUssiszm2dmnzCzj5rZmlbHI/Xp90lk6pRoi8iMYmbnmdmfzOz6zPYTzOxGM/u5mZ1Vrw53/6W7n9HcSCVtkuftmcBF7v4S4KRpD1Ymdb70+yQydUq0RWSmuQA4Ib3BzNqADwNPAY4ATjWzI8zsSDP7YmbpmP6QhUmcN6Ab+HUsdt80xigPuIDGz5eITJESbRGZUdz9G8Btmc2PAH4e76yNA/8NnOzu17n70zLLn6Y9aJnUeQN+Q0i2QX+HWmKS50v2cWZ2hZl5XG6psv/VZnZfqszL4/bXpLa5mf3NzOaa2f5m9gszuz+13aa/Z82nf+BEZDY4iAfugEJI1A6qVdjMlpjZCHC0ma1vdnBSU63z9jngWWb2EfRfSs8kVc+Xfp/2bWa2H3Ac8HKgA1hqZmdniq0B7nB3A64BhuP2rwF/B46KSxEwwicmBwEfAT4Tt7+nuT1pjXyrAxARaUC1Ox01/7ctd/8z8K/NC0caVPW8uftO4IXTHYxMqNb50u/Tvm2EcB18AMDMbgXWAm9KlVnOA8n1B4AL4h3qI4G73f2HZvZYwr/b9wNHExLww4G3AU8lfHryyuZ3Z3op0RaR2eA3QE9qvRv4XYtikcbpvM0uOl9SzRHAPan1PwEHZ8rkgYVm9gtgTtz2iFhugZklN0a+7+5/N7PbgXmEJHsRsD9QaFL8LaWpIyIyG1wFHGZm/WY2B3gecGmLY5KJ6bzNLjpfUk2jc6e/6O6HAK+L6/cBOwlv4NqB1xCmHz2X8IbuL8C7CV/MvYvKZH6voURbRGYUM9sCfAd4iJn9xszOcPd7gSHgy8BPgM+4+49aGadU0nmbXXS+ZBJ+ROXd5g5CYpx2L/DY+PMX4uvVwHbga+5+q7sPE6aNvAjoBxYAhwFthDva85oSfYuZe81pjiIiIiKyDzOzBYS7z0OELy7+CXibu78hVeZ64EHuvtjMtgFHu3ubmT2PcIf7GMI87M8Ar3T395nZHwhv6EaAC4Hnu/tnprNv00GJtoiIiIjUZGZfBZ4UV//s7kvNbAdwnbs/1szOBV7MA9NM/t3d321mXwaenNp+o7sfbmbJs/Q97rsXWOvuH5uuPk0XJdoiIiIiIk2gOdoiIiIiIk2gRFtEREREpAmUaIuIiIiINIESbRERERGRJlCiLSIiIiLSBEq0RURERESaQIm2iIiIiEgTKNEWEREREWkCJdoiIiIiIk2gRFtEREREpAmUaIuIiIiINIESbRHZq5lZyczczDY2oe6Nse5SatvpcdsTmtBe0/oijYvn4IJWxzEZ1a7VmUzXuuwtlGiLyLQyswPN7O74R/S0Vscz08QEY6OZHdXqWESaSde67AvyrQ5ARPY5a4A5wK+AM4BPNbm97cB+wL1NqPutwDuBv+/BOkvAm4GbgB9k9jWzLyLTrYSuddnL6Y62iEy3M4CvAe8DHm9mhzSzMQ/udvc9/gfb3e+NdfuerrtGe03ry2xlZgtaHYPsebrWZW+hRFtEpo2ZPQw4CvgEcCFwD/DCGmWfamZfN7NbzexvZnazmX3OzB6cKtNjZueZ2XYz+7uZ/cnMvm1mL0iV2WWuZ3qbmT3HzH4Q2/i5mb0wluk1s4vM7DYzu9PMPpVN6hqd92pmC8zsrWZ2ZezP32Nb7zSz/VPlTie8CQE4P9btZra1Vl/i9ryZvc7Mfhyn5fzZzD5vZkdmyqX7/TQzuyqW/72ZvcvMGvqUs5FzE8t1mdkHzOyXqfNzhZk9OVPucXH7HbG+a8zsjCrtbjWzm8zs4OTcAH9J7TczW2tmV5vZX+N5+5qZPbFKXf9sZt8zsx1mtjPGeKGZtTcyBrGO48zsu7GtP5jZ+81sXmr/q+J4H1fl2GK8tr7aYFvPNbOx2Ke/xmvplCrlcma23sx+Fc/tdWa2pkadW83spirba11nZmYviW3fFZfrzOzsVJm96loX2V260ERkOp0B7AQudvedZva/wAvM7E3ufn9SyMweD1wKXAe8A9gBPAg4DjgU+Gn8Q3kFcBDw/4CfAguBhwKPJSTzE3ka8K/x+NtifOeZ2TjwdmAUeD3wcOBFwN3Ai6fQ74PicRcDmwkfhz8eeC1wNHB8LPeN2O7rgXOBb8btf5yg/guB5xDG4yNAF/BS4Dtm9lh3/36m/InAvwEjwHnAycBrgNtj+zU1cm5iuRLwLaAT2ARsA+YBj4plr4jlng58HvgDMAzcCTwP+JiZHezuGzIhzAe+HuveAHSk9n0SOBW4CDgfKBKmKl1hZs9090tjm6cRro9vAm8C/gb0Ak+J9d1SbwyihwGnAB+N/Xsi8DJguZk9OV7PnyCM5xnAVzLHPwM4EPj4RA2Z2VtjXy8D3gjcH4//rJkNufuHU8XfA7yccC29N/bnw8AvG+jTRD5JGM8rgbcRzv3hhHF4Uyyz11zrInuEu2vRokVL0xdgLiGZvSC17WTAgadkyr4nbu+oU99DY5nXTtBuKZbbWGXbTqAvtb2dkEzfD7wqU8/ngHFgfmrbxlhPKbXt9LjtCaltc4BCldj+I5Z9RGrbE+K20xvsy5Pjtk8Dlhmfe4Fv1uh3OmYDrgd+38B5nPDcxHJfiuWOr7IvF1/bCHNxdwAPyozXt4D7gMNS27fGOt9apc5nxH1nZrbnCUn+r5LxiefyL0B+iteyx2V1Zvv74/bnpbZtjtfU4kzZKwi/D3MnaOthsc63V9l3SezHgrj+kHjtfhVoy9Rxf5VrdStwU4PX2XPitk8m5y97Pve2a12Llj2xaOqIiEyXZxLu4KXvNP8v8CfC3eK0O+Lrs+p8xJuUeaKZddQoM5FL3H17suLutwA3EpKSD2fKfhMoEP6AT4q7j7v7PVD+6PtAM1vKA3c5HzmF2BPPiK9vc/fyXHF3vxb4IvCYKtMhLnH3m1JlnfAxfpeZzZ+gvQnPjZktBk4ALnP3L2f3+wOfXqwg3Ek+z91/l9o/DryLML3x5CpNvLvKttMId8MvMbOlyQIsAv6HcN4OS/Vhf+CpZmZ1+lrPje5+SWbbO+PrM1LbzuWBO+tA+W7/scCF7n73BO2sISSMn0j3K/btUmAB8I+x7MmERPI97n5fUoG7X0P8BGE3JPG/JnX+kvrvT/28N13rIrtNibaITJczCB/J/8bMDjWzQwnJzxXASfGPceJDwPeJUzrM7Etm9rL0H9GYIL8NWAX83sK83HPM7OGTiKnax+m3E+52ZZ8kcnt8XTKJ+svM7N/M7FrCE0puI4zF1rj7wKnUGfUT3hj8pMq+61Nl0qr1+8/xdaL+TXhuCFNILJarJ4nrR1X2JbEfnNl+i7vvqFJ+gJB0/pEwtullYyzTGV/fTriTfglwi5ldbGYvtsl9sXKX8Xb33xPuzh+c2raVMJ0mPef8hYTx+VgD7QzEsjewa7+SaSdJv5J2b6hSz48baKuewwi/FxNN7dibrnWR3aY52iLSdGbWT5jDasQ5vFWcRngSCe7+55gwP5bwcfHjCPNN32JmJ7r7d2K5N5jZecBTY9kXA/9uZue4++saCO2+SW4n9mFSzOxVhPnHlwMfAH5HmIZyEHABu3fTYyp3ZKfcvwbPTVLHRE9jmUrsf61T1y3A8+scez2Au//MzI4g3FU+ljCH+KOEPjzO3X/RQBy1+latTx8F3mVmKwhvPk4Htrn7Dxtox2JbT6H2eftRqmyt2KrFVasP1XKDJI669qZrXWRPUKItItMhuYP3EsIdv6y3Eu74vS/ZED/63hoXzOyhwNXAGwiJdVLul8AHgQ+a2Vzgy8BrzWzY3f/UhL5MxT8RnhX8FK/80ucJVcpO9lGBvyB8wWwAuDaz74j4+qtJ1llXA+fmZ4R+HD1BVUlCO1hlXxJ7o1/i+xnwYOC77n7XRIXjJxZfigtmdiJhKtOrCF+um8gR2Q1mtozwhdxszBcQPn05A/gCYbrMOxpoA0K/TgBudvdqd3LTkvEcqBLDQJXytxGm72RlP0WAMKXqZDPrnOCu9l51rYvsLk0dEZGmMrMc4Q7ede7+MXe/KLsAWwhPa3h4PGZplapuIDwdYnEss9DMCukCcb5rkozszkfUe9p9hKSifActzm8+q0rZJElc3GDdyTzh9en5xma2HDgJGItzz/eIRs6Nu98G/B/wFKv+aLskzmuAm4EXmllXan8B+HfCmH2hwdA2Ef6mVU1gzawz9XO1PlwTXxsd94eY2erMtuRTlIq52+5+a9z2fGCIcFd+c4PtfDK+vt3M2rI7M99PuJQwZq9Kl7XwWM1dzgPh06UFZvaIVNkc8MoqZS+Mr+fEMukY0neG95prXWRP0B1tEWm2VUAP9R9jdjFhHu0ZwFXAR82sm/Dxc/I/xD2XMAd3UzzmicC5ZnYx4W7bXYS7cy8GrnT3G/d4T6buIkIC+H9m9jngAELSdU+Vsj8mfKnv38zsr4RPAP7k7qPVKnb3K8zsM4RH4h1oZl/kgUee3U145Nye1Mi5gZBQfpvQ508Q7njvR/gy3E3A69z9PjMbIjze7yozO5fQ9+cSHgP4dnf/WSNBuftFZnY+MBQTyy8CtwLdhC8LHsoDd2ovN7M7CI+Y+zXhC5On88BTNRpxHfApM/so4a7zEwmPufs64akYWecSntzxNOAT7v6XKmWq9esqM3sz8BbgB2b2WcJ0jGWE6/1EwpM+cPcbzOzDhLEfjb8bHXH9h+z6CcO5wKuBz5vZ+wlTPE6hSm7g7p81s08D/wwcZmaXEr638GDCXeblsejedK2L7L5WP/ZEixYte/cCfJaQwBw5QbkbCX9o9yM8oeRS4DeEL1TdQkhgnpUq3094Nu5PCI842xl/PhtYmCpXovbj/TZWiWMr1R95djq78MgLHwAAIABJREFUPrZvI4093q8NWA/8PPZnO3AO4SPwXeIgJE/XEJIHB7bWi5uQGL0u9j/5Atol2TGfoN+79KXGeZrw3KTKHhTP0c2EJO6PhAT92Ey5xxO+FPuX2OfvAy9u9NxkyvwT4QkxSV03ER7n99xUmZfE9v4Q4/o9YQrJExu8pp0wHeQ4wjOl/xb79kHio/aqHGM8MKXmsVP4PXoqYVrUbXHcf0341GBtplyO8Mzt7bHc9YQnhlQ9v/Fa+0Es+zvgPwmPCax2neUISe01hLvydxKmcLx5b7zWtWjZE0vyTFERERFpIjP7EeH51oe3OhYRmR6aoy0iItJkZvYkwhf2zm11LCIyfXRHW0REpElign0IYTrFfOAQd7+ztVGJyHTRlyFFRESa503AYwhf/HuBkmyRfYvuaIuIiIiINIHmaIuIiIiINIGmjojMEkuXLvVSqdTqMEREZIa4+uqrb3X39lbHIbUp0RaZJUqlEtu2bWt1GCIiMkOY2fZWxyD1aeqIiIiIiEgTKNEWEREREWkCJdoiIiIiIk2gRFtEREREpAmUaIuIiIiINIESbRERERGRJlCiLSIiIiLSBEq0RURERESaQIm2iIiIiEgTKNEWkb3LxoWtjkBEZK9iZieY2Y1m9nMzO6vK/qKZfTruv9LMSnH7HDM738yuM7MfmtkTUsecGrdfa2aXmdnSaevQNFKiLSIiIiJVmVkb8GHgKcARwKlmdkSm2BnA7e5+KPBe4D/j9pcAuPuRwJOBYTPLmVkeeD/wRHd/KHAtMNT0zrSAEm0RERERqeURwM/d/ZfuPg78N3BypszJwCfizxcBx5qZERLzrwK4+5+AHcBKwOIyL5Y7APhdszvSCkq0RURERKSWg4Bfp9Z/E7dVLePu9wJ3AEuAHwInm1nezPqBFUCPu98DrAWuIyTYRwAfb2YnWkWJdhOY2RvM7IZWxyGNi/PP3MzmV1sXERHZR1mVbd5gmfMIifk24H3At4F7zaxASLSPBh5EmDqyfk8FPJM0nGjHpKPeckET45RpZmYLzOwcM/uFmd1tZreY2TfN7JRWxyYiIiLT5jdAT2q9m12neZTLxPnXC4Hb3P1ed3+lux/l7icDi4CfAUcBuPsv3N2BzwCPbm43WmMyd7SXpZaXVNn28j0b2sxiZnNaHUNWfEfYLB8nzLlaBxwOnECYl7WkiW2K7FFbtmxh+fLltLW1sXz5crZs2VKxf8mSJZhZeVmyJFze69atY+7cuZgZ+XyetrY2zIy5c+eybt26irpzuRxz584ll8vR09NDT09PeZuZkcvlKtpI15Fup9qSz+fJ5XIVsWf7tG7dul3We3p6KvrU09NTtXwSb61je3p6arZ7/PHHl2OvNi61xrxan9PHT+b8pffPnz+/5jgmfcn2L9vHybQ91Wtu3bp1FAqFivNTa4y3bNnSUBxTjbWVZmPMu2sW9/kq4DAz64+50POASzNlLgVeEH8+BRh1dzez/c1sHoCZPRm4191/DPwWOMLM2uMxTwZ+0uyOtIS7T3ohDKJX2f4F4L2p9WHCRwf/ENcNuAV4VlxvA84mvBP6O/AD4MQ67eYIc4CGMtuXx3aOiOuLCYniLcBfgFHgqFT5TuDThBP9V+B6YE2mzu8SvhH7fuBW4Jt14noD8CfgTsLHJG8DbsiUORO4Abg7vg4Bltp/BPCtuP/HhIvuXuB5cf/hsY/PBr4ey7047nscMAb8LY7PB4H5mXHbAPwqlrkWeE6d/lgcl9MmuA72Az4Ux/nuGP+jUvtPiDE/OZ7bvwFfI7wxOy6O+53AJcCiyYxXjXhOJnw8dXc8Z5cA+bhvKXAhcHvs25eBh1SJdX619QbH+QBgM7AT+D3wauArwEiqzFzC78VvY7krgSc18nu3YsUKlwa8+QB3d9+8ebP39/f76Oioj4+P++joqPf39/vmzZvd3X3x4sUO+ODgoG/fvt0HBwcd8GKx6Pl83oeHh/3MM8/0XC7nuVzOzzzzTB8eHvZ8Pu+rVq3y/v5+37Bhg5dKJR8eHvb29nZftGiRL1y40JcuXerHHHOMA97d3e2AH3300d7W1ubHHHOM5/N5P/LIIz2fz5fX+/r6HPC2tjY3My8Wi57L5Xz+/Pm+YcMG7+/v96GhoYo+bdiwwfP5vG/YsKG8nsvlfOHChX755Zf7WWed5W1tbb5w4ULftGlTRflNmzb5smXLvKurq7wvfezll1/uy5Yt8/b29l3aXb16tQO+Zs0a37lz5y7jUmvMh4aGKvp80kkneS6XK68PDQ2VT+NE5y+9/7jjjnPA58+f7094whM8/u76nDlz/Mwzz3Qz8zlz5riZ+f777++dnZ1+zjnneFdXly9atMjb29vL9TbSdi0THTc0NOS5XM4PPPBA/9KXvuTnnHOOt7W1+YIFC3YZ49HRUW9vb/f29va6cUw11laajTHvrmb1GdjmU8jjJrsAJwI/BX4BbIjbzgZO8gf+tn0W+DnwPeDguL0E3EhIor8C9KXq/Ne4/Vrgf4Al09GX6V6mOuC1Eu1XAj9IrV8dk7BXxPUjgfuBpXF9PeEbqM8FHkJ4HMw9wECdtt8CXJPZ9l7gO/HntniSLyF8s/Uw4BzgNqA9deJfSfjo4mDgpYSk9jGpOr9LSALfATwYOLxGPP9MSOzOiOXeQkjub0iVWUd4M/EMoB9YHcclSZTzhI9SLgMeCjyG8A7yfnZNtH8Rj+8nzGtaERO2lwGHAv9ISDY/lWp/GPgRsCoe9wJCsnhcnXG+iZA0LqhT5r9iv04gvFG4IJ7P5Pwmyeq3gWPieN8IfIPwC7cSeGSs412NjleNWFbHc7gRGAD+AXgdUIj7v0xI7B8T910G/BIoZmKtmmg3OM4XxDqfRHjz9znCF0LSifbFwDdjHIcAryK8yax5zSeLEu0GxUR7cHDQR0dHK3aNjo764OCgu3s5yU5Lku3h4WF3dy8Wiz48POzDw8NeLBbd3X14eNjNrFxX0kapVKpYisWir1271s3M165d64ODg+V6hoeHy+0k68Vi0efPn++FQsG7urq8UCj48PCwFwqFcjvFYrGiT0mdST8GBwe9s7PTS6VSxf5SqeSDg4MV5ZM6k35kj03GK+lLut2kb+nxS49LrTFP9zUZ4+wYpPtWr670/mSMR0dH3cy8q6vLFyxY4IS/U+Xxbmtr80KhUD4u6V8yPo22XctExxWLRe/s7Kwok5zj7Bi7P3BN1YtjqrG20myMeXc1q89MU6KtZerL1A6qnWgfHZPDxYT5OePA64EvxP3rgOtS5f8MvDZTx3eBj9Vpuxe4j3iHGihQmbSeSEiq52SOuwF4WZ16LwE+lInjqgbG4hrgg5ltY8REm3B3+A/AszNlziK+YSDciR0HOlL7nxQTvWyi/dJMPZ8BPpzZ9qhY9gDCfKhx4OGZMiPA5+r061jCHKx7YkL5AcLzLpP9BxIS2+ekthUId3rfENeTZPXxqTKvIfXpQ9z2zuQfi0bGq0a8VwMX1Nh3ZGzzEaltSwiJ82mZWGsl2hON8+I4HqtT+xcS3qyNxPUj4rXbmannMuA9NWI/M47/tt7eXpcGxEQ7l8v5+Ph4xa7x8XHP5XLu7g749u3bK/Zv377dAd+5c2e5zM6dO33nzp3lpC35OakraSOXy5W/s5LL5RzwHTt2lF9zuVz52FqvyZIcn2xP2knaTSR1Jn1KjkuvJ/uTJb0+Pj5e7kf22PR4ZdtN9ymRHpd6Y57uc/q49Bg3cv7S+5N4kjFK9yfdRrIkx42Pj5fPV7ovE7VdSyPXXHaM0rFlj02uqXpxTDXWVpqNMe+uZvUZJdozftnTTx35IeGO5uMJH7NfD3weeJyZ5YAnAFsBzKyDkJx8K1PHGCEhwcxGzeyuuFxN+FfzZuBy4EWx/EmEKQyfjusriJPwU8feRbgLeUisN29mb47/I9Ftcf9TCUl82rYG+nw48J3MtvR6N2Gqyicy8WxM4ol13OThGZOJK2u0l41pBfDiTN1fjfsOISSZBeBrmTIvTLW/C3f/KtBHmOJxMTAIjJrZ+2ORwwifHnwrdcw9Me7sg+yvTf38R0JC+pPMto74cyPjVSE+g/MfUv3OGiC82bgqFeufYwzZWGuZaJyT8fheqo07CG/w0nXkgF9k6jm2Vt/c/Vx3X+nuK9vb26sVkRoGBgYYGxur2DY2NsbAwEB5/cQTT6zYn6yPjIwAUCwWGRkZYWRkhGKxWN5nZuW6kjZ6e3vp6+ujr6+P3t5eisUi69evx8xYv349AwMD5XqS+tPrxWKR+fPnUygU6OjooFAoMDIyQqFQKLdTLBYr+pTUmfRpYGCAzs5Oent7K/b39vYyMDBQUT6pM+lH9thkvJK+pNtN+pYey/S41BrzdF9rjUGj5y+9PxnjsbExzIyOjg7mzZtXERtAW1sbhUKhfNzY2Fj5fKX70si1U81ExxWLRTo7OyvKJOc4O8bwwDVVL46pxtpKszHm3bUv9lmiqWTn1LijHfd9gXD3cxgYjtv+QEgy0vOzOwnv4h+dOf7dwLfiz92EBPlQoDdV5lmEu+FF4H+B81L73gxsTx2XXtpTZf4EPJ+QoB0a474sVc93gXdPMA7JXObnZ7a/iwfuaPfFfj63SjzJHKazgBszdcyj+h3t5ZlyvwLeU6O/RcKbHidMVcju763Xvyr9fWusaxlhyocDD8qUuQi4MP5cbZ7zacDdmWNeAfym0fGqcR7uBf6pxv7nEqZnWGb7NuBt1WKtsj7ROCd3t5dl2riKB+5ov4CQ8B9WpY5l1WJPL5o60iDN0dYcbc3RntHznWdjzLtrts/R1jL1ZWoH1U+0X0l4APnVwNPjtk8T5q+W52fH7bdSferIRydov0BI3l/BrnOrn06Y7tBT5/grgP9KrecIdzcnlWjHctcAH8hs+yYPJNo5whuM9XXqODkmgu2pbU+ksUT7YuDLdepeHMfj1N2+WMIbE4+JYb2pI8kXJaaSaE84XjVim+rUkTXVYq2y3sg43wucnNp2AJVTR5I4/nEq469Eu0Ex0XYPf9wGBwc9l8v54ODgLn/UkmQ7WRYvXuzuISEqFovlxDeZhlAsFsvJYFJ3khSbmXd3d3t3d3d5G+BmVtFGuo50O9WWJOlOx57t09DQ0C7rSXKf9Km7u7tq+STeWsd2d3fXbHfVqlXl2KuNS60xr9bn9PFpE9WV3j9v3rya45j0Jdu/bB8n03YtjfQ/n89XnJ9aY7x58+aG4phqrK00G2PeXc3oM0q0Z/wytYPqJ9rJPO1xYGHctjYmIddlyp5FmGrybMIXCd/JBF+GTB37n4TkNPt0jzbC9IXvE778VyI8m/GtwCNjmQ8Tvuz3j4RpBR8lfGltKon2CwhfLHxh7MOb2fXLkEMxqVsXyxwJnA78e9yffBnyS4QvQx4T+3A/8NxYplaivSKOwwcIXzY8jDCd5sOpMu8m3MH/Z8IUhaMJXwB9UZ1+jQEvjmVLwNMI3ya+lnhnmDDP+9fA8dT/MmTDiXYj41Uj3mfGa+zN8ZwuJ8wHT74MeRnhDeAxhE8x/o/wxcU51WKtst7IOF8Qx+gJhKk2FxGuq4+kylwU202+6Plwwpc2nz7RtaZEu0GpRFtEZG+GEu0ZvzTjf4ZM5mlf62GOKoRHurUR52envCsmLu8jzOd+CuHLZI08S/HjwBzC4/TK3P0+QoL9bULi81PC85/7CXfBISRj1xLubG8lJKEXNda9Su7+CcIbhHMId1UPJjzyLl3mQ4Q3G2cQkr2vE+aY/zLuv5dwV3sRYarBxwiPzYHwRJN67V9NmB4yQEiOv094U/GHVLHXxhhfT7hz/2VCkvirpICZfdfMLksdk8yD/wphnvEH488nxF9uCJ9eXAp8inBn/8Fx/631Yp7IRONV45jPEaaIrCY8SvBrhKQ6ifU0wjn/X8Ic+hzwFHcfbzCmRsb5ZYTz9yXCWH2bcF2nz+EawtNc3kN4AsulhGknNzcSh4iIiMwe9kDONLuY2eMJiXKvu/9hovKzjZk9knBXfbm7/6jJbRnhuc//6e7vbWZb+xIz24/wmMI3ufuHd7e+lStX+rZtjXw/dx+3cSFsvGPiciIis5yZXe3uK1sdh9SWb3UAk2Vmcwn/zefZwKf3liTbzJ5N+M9Ufk6Y3vE+4HvNTrKjhxHmy39wGtraa5nZIwifnGwjPPlmA2He+pQ+LREREZHZrRlTR5rtdMJUhv0JUyL2FgsJc55vADYRpiY8bToadver3X15nMIiU2eE+dY/JEwdWQQ81t3/2NKoREREpCVm3R1tdx8hJKR7FXf/GGFutsxS7n4l4dMBERERkVl5R1tEpDbNzxYRkRlCibaIiIiISBMo0RYRERERaQIl2iIiIiIiTaBEW0RERESkCZRoi4iIiIg0gRJtEREREZEmUKItIiIiItIESrRFRERERJpAibaIiIiISBMo0RYRERERaQIl2iIiIiIiTaBEW0RERESkCZRoi4iIiIg0gRJtEREREZEmUKItIiIiItIESrRFRERERJpAibaIiIiISBMo0RYRERERaQIl2iIiIiIiTaBEW0RERESkCZRoi4iIiIg0gRJtEZGZauPCVkcgIiK7QYm2iIiIiEgTKNEWEREREWkCJdoiIiIiIk2wVyTaZnaBmX2xRW1vNbMP7W6ZKse4mZ2ye9FNqr1pGcNWnqtazOwuMzu91XGIiIjI3mXCRHsmJUZmVooJ6MpWxzJJzwTWtzoImT5mttHMrm91HCIiItI6e8Ud7ZnO3W9z9ztbHcfeysxyZtbW6jhEWmXLli0sX76ctrY2li9fzpYtW6ruW7JkCYVCATNj7ty5rFu3rqKedevWMXfuXMyMQqHAkiVLyOVy5W1z586tWM/lchWvyf5sDLVirBf3ZGJPylWLdfny5axbt46enh7MDDOjp6dnl7bSdaXLJuWPP/74irGZP39+Q/XVirHWODXLRGM9W9uaDTQe+zh3r7sAFwBfrLN/IXAu8CfgTuDrwMrM/k/G/XcDvwRekdr/L8BP475bgC8D+RpteWbZmo4ReDnwW+B24Hxg/9SxJwDfjPtui+0MpPaXYp3PAq4A/gr8GHjyBOOzFfh/wNuBW2M/3w3kMmU+lFrvBC4F/gZsB14IXA9szPT1TOCzwM44bqdNEMuRwFeBv8Rz8UPgian9h8d27wDuAr4DHDmJMSwC7wP+GM/Xd4HHZGJ4HHBl3P9H4L3AnEavp1jmqcCNsY5vAM+L41GK+0+P8Z8Yx+1eYDnwcODyeB7+AowB/5ip+9B4Pu6ObTwt1nV65jpYmTnOgVNS6++Mx/8NuAk4B5ibii97rSb11/19qbesWLHCZR/z5gMmLLJ582bv7+/30dFRHx8f99HRUe/v7/fNmzdX7Fu7dq3ncjlfvHixn3/++T48POz5fN6Hhobc3X1oaMjz+bwPDw/7eeed54sXL3Yz8wULFviaNWs8n8/7Mccc421tbf7gBz/YAV++fLnn83kfHBx0wI855hjv7+/3DRs2lGOoFWN7e7u3t7dXjTt7zNq1a72trc0XL17s5513XkXsSbkNGzZ4qVQqx7pmzRovlUq+evVqz+VyvmjRIr/88sv98ssv966uLm9vby+3lR7L9vZ2X7hwoXd2dvo555zjXV1dPmfOHAd8zZo1fv755/v8+fMd8JNOOskvv/xyX7ZsWdX6sucoGZfh4WEvlUq7jFOz1LtGZnNbs0GzxwPY5g38/dDSumXiAnUSI8BiMvO/wCNiEvMfMclZFst8EPhB3F8CngA8O+5bGZOkNUAf8A/AK6mdaD88Ji3HA13A4lSMdwAfBQaAVcAOYH3q2GfF5TDgocBngJ8nSWAqwboBeHos9wngz8D8OuOzNbZ9NvBg4DmxT6dmyqQT7csISfA/AkcRkuM72TXR/g1wWhzXdwDjQF+dWK4DPkVIqA8FnkFMNIEHERLQL8Rz8eBY91GTGMP3A78nJMIDsexdqXN9EOFNwUjc/zTgD8BwI9dT3N8L/B14D/AQ4BTgZnZNtO8Fvg0cE/uyAHgS8E+x7cOBDxHeMCyNx+XiGH0DODoeuw24h8kn2m+Mx5cICf/NwH/EffsR3mzdQLhOu+K2CX9f6i1KtPdBDSTag4ODPjo6WrFtdHTUBwcHK/YVi0UfHh4u73N3Hx4e9mKxWLE/XWdnZ6cXCgUfHBwslx0eHnYz87Vr15bXi8VieT2pP91OtRhLpZKXSqWqcWePqRd7uq3kdXh4uLxeLBa9q6uroq3R0VEvlUrlutJjmcSVtD06OuqAH3jggeUxLZVK5f7Wqy97jtJ9qjZOzVLvGpnNbc0GzR4PlGjP+GXiAvUT7SfFRGu/zPYfAK+NP18KnF/j+GfG5G5BQ8HWToIuAH5NKkGPSeBX6tQ1D7iPeEc2Vfe/pMocFLc9pk49W4HvZLZdAXwsU+ZD8eeHxDofldrfE2PZmNrmwDtS63nCXfaad7VjwvaCGvveRrh7PqfG/rpjGMdrHPjn1P424BfAW1Nt/JzKu/mnExLn/Se6nuL+dwA/ASy17fXsmmg7sGKC68UIbwxOi+ur4jj3pso8hso7zrWusYpEu0pb/wr8PLW+Ebh+sr8vVeo9k/BmYFtvb6/LPqaBRDuXy/n4+HjFtvHxcc/lchX7AN+5c2d5n7v7zp07HajYn67TzBzwXC5XLpu87tixo+p6Un+6nWox5nI5N7OqcWePqRd7uq3kdefOneX1pEy6raRvSV3ZmMys3Ha6jmQxs3J/s+Nd7xyl+1RtnJql3jUym9uaDZo9HijRnvHL7s7RXgHsD9wSn9xwl5ndRfgY/5BY5iPAc8zsh2b2bjN7fOr4KwjJ36/M7EIze4GZLZhiLD9293tT678DOpIVMzvEzDab2S/M7C+EaQ05wh3UtGszdZCup4ZrM+sVbWccDtxPSJ4AcPdfp9qqWm/s2y0TxPIe4GNmNmpmG8zs8NS+o4Exdx+vc3y9MTwEKADfSsV0H2H6yRFx0wDhTcf9qTrGgDmEu7eNOBy4Kv4DkriySrl7CQlqmZl1mNl/mdlPzewOwqcEHTxwjgeA37r7zZm60/E2xMxOMbMxM/tDvObfy67XUlYjvy8V3P1cd1/p7ivb29snG6bsAwYGBhgbG6vYNjY2xsDAQMW+YrHIyMhIeR/AyMgIxWKxYn+6zo6ODgqFAgMDA+WyIyMjmBnr168vrxeLxfJ6Un+6nWox9vb20tfXVzXu7DH1Yk+3lbyOjIyU14vFIh0dHRVtjY2N0dfXV64rPZZ9fX309fWV205eFy5cWB7Tvr6+cn+TMr29vbvUlz1H6T5VG6dmqXeNzOa2ZgONh0yYiVP/jvbrCHcMD62ydKTKLSV8pH8B4Y7e+al9ecKdvncQPmr/LfCgGu2VqH1H+4uZbRtJ3VEkzLe+AjiOkHAdxhSmDFSJaSupaSHV4qHyjvZqwl3VfOaYX7PrHe1TMmVuAl4zwfk6DHgZYXrCOPCiuP3/gAsnc57TY0iY1uPAwZkynwIujj9/HtiU2X9oPO7IWu1kyl8CfCKz7ViqzNGucuz/AdcQprYMxra3J+MKvAK4OXNMIZ6P5DrojW09PFOmfD6ARxES/TcSpjMdBryacHer6vU3md+XWoumjuyDNEdbc7T3AM3Rbh3N0dYycYH6ifaTCXcDD264QXhuPKZYZd8cwrzgM2sc+6CY8DxyohgzSeKSeFz6i4EPY89MGdjK5BLtZOrII1P7u6k+dWTSiXam/EeAb8efG5k6Um8M5xGmgFSbOvIfqTZ+xu5PHflxZtt6Gku07wRemFrvJLzZ2BjXk6kjPakyx2Sug/3i+kmpMsl3A5JE+9XA9kzbH6Ay0X498JPd/X1JL0q090ENJNru4Y/54OCg53I5HxwcrPgjnt63ePFiz+fzDnixWCwn2YmhoSEvFosOeD6fLyfbybZisVixnkwtSV6T/dkYasVYL+7JxJ6Uqxbr4OCgDw0NeXd3t8ffY+/u7q6bFKfLJuVXrVpVMTbz5s1rqL5aMdYap2aZaKxna1uzQTPHAyXaM36ZuEBIjL5B+NJeeikR5sB+k/AFs6cA/YQv+L0FeGw8/mzCXdzDCHeSP02cy0r4stzLCdMa+mICdV9ybJVYknnKb4pJ1MJUjPWSxBxh2sVmwt3DxwPfowV3tOP6ZcD3CXdGjyLcab8TeHO9dqmTaBMSxA8TvmxaAh4Zz8vH4v6DCF/svISQOB4KnErllyEn+lTgfYTpJCfGc3ku9b8M+VQm/2XIPkJi/m7Cm5Jnxn478Yug1E60ryZ8sfSI2Mevxfg2pq6DH8XtRxGu1YrrIJb7DmGKzCDwaMKTQdKJ9tN54Eu8BwNrCdeXp+p4PuFafRjhE50iDfy+1FuUaO+DGky0RWTfhBLtGb80Okf7sYTEML28O57kE4FRwhfnbiQ8zeMhPDDn+O+EO50/jMnLgpioQLh7vRr4CmHayGuAF7v7N6sF4WH+8MuAF8f6v9BI8B7mDD+X8LSR6wkJ6RtjbK1wOuGJIlsJXxa9kAcefzhV9wEHEp6UciNhGsd3gFcBuPtvCY/em0NINL8PrCMkjI16HeH8nk+YH/1Q4AR3/32qjacQ3jj9ADgP2EK4u9sQd99OeDrMSYRr5pWERBQmHp8XAfMJCfd/x/ZvStV9P+FJLDnC3OxNwFvZ9Tp4UXy9Cvgv4A2ZGP8HeBfhjce1hDvVb8rUcTHwJULifwvhKTSN/L6IiIjIXsLC335pJTNbSki0TnX3i1sdz0xjZi8nfDJyoFd+0XKfsnLlSt+2bdvEBWXvsXEhbLyj1VGIyAxlZle7+2z737L3KflWB7AvMrMnEe7sX0d4KsbbCM+4vqyVcc0UZvZSwt3kWwjTa94IXLAvJ9kiIiIy+yjRbo0CYcrCwYR5vFcCj3P3nS2NauY4lDDdZAlhis0I4Y62iIiIyKyhRLsF3P2p0nRvAAAgAElEQVTLhP8CXqpw91cS5maLiIiIzFq7+x/WiIhIs2h+tojIrKZEW0RERESkCZRoi4iIiIg0gRJtEREREZEmUKItIiIiItIESrRFRERERJpAibaIiIiISBMo0RYRERERaQIl2iIiIiIiTaBEW0RERESkCZRoi4iIiIg0gRJtEREREZEmUKItIiIiItIESrRFRERERJpAibaIiIiISBMo0RYRERERaQIl2iIiIiIiTaBEW0RERESkCZRoi4iIiIg0gRJtEREREZEmUKItIiIiItIESrRFpPk2LsTM9siyePHiVvdGRESkIflWByAi+wZ33yP1mNkeqUdERKTZdEdbRERERKQJlGiLiIiIiDSBEu1pYGYlM3MzWzmJY043s7uaGVeVNt3MTtlb2mmUmZ1iZntmXoOIiIhIpER7N5jZBWb2xSrbV8ZkshQ3/RpYBvxgGsOTFjOzm8zsNa2OQ+rTnG8REWkWJdrTwN3vc/c/uPu9rY5lb2Vmc1odg8xe9Z5ysmTJEtatW8eSJUvK2/L5PEuWLKGtrY2enp6KfT09PWzZsgWALVu2sHz5cnK5HIVCoaLedDmAdevWMXfuXMyMuXPnsm7duvK+pJ6kvZ6eHnK5XEX5XC7H8uXLK+pMS9exfPly1q1bV7G+ZcuWinir1Z09plod1do0M3K5HGZGW1sb+Xx+wn5mY6rWZjIW1c5D9hym9y1ZsqR8XLrOdJyNxFbPli1b6OnpqYijra2t5vmfjMnG0kqzKdZm01jso9xdyxQX4ALgi1W2rwQcKMX1UlxfmSrzVOBG4G7gG8DzMsecDtwFHAtcD+wEvgb0TxDTvwA/jfXeAnwZyKf2vwC4Dvg78EfggtQ+B84EPhvb+yVwWqb+I4GvAH8DbotjsDC1Pwe8kXAX/++xrZMzdThwSp0+5IH3ArfH5b3AR4CtqTJb47Z3x35eFbe/Crg2xv9b4GPAokz9/wxsB/4KfBF4afhVKO/fCFyfOeZ04K7U+iHAF4A/xLauAZ6Wic/TS2rfo4Gvx/Z/G/txwETX24oVK3zWevMBe6yqOJZ7xJFHHumAP+xhD/Pe3l7v7Ox0wM3Mu7q6/NRTT/VcLlfeds455/hrX/taz+VybmZ+3HHH+cKFC72trc3Xr1/vl19+uXd1dXl7e7sPDQ15f3+/b9iwwZcuXerz5s3ztrY2f/7zn+9dXV2+cOFCb29v982bN/vQ0JDn83kfHh72nTt3+vDwsOfzeR8aGvLNmzd7f3+/j46O+qZNm7yrq8sXLVrkS5cu9TVr1ng+n/c1a9Z4qVTyDRs2eH9/v2/evLmin+k6xsfHfcOGDZ7P533Dhg0+Pj7uo6Oj3t7e7u3t7eU6snWvXr264phqdaTbTtpMjlu7dq0vWLDA46d9fuaZZ9bsZzamanEnY7Fs2TJfu3atL1q0yM3M586d6/PmzfNcLufz5s3z/fbbr9zmWWed5WeddZbncjlftGiRb9q0qVznypUry3H29fWV+18rtmrjnB7v9vZ2X7RokXd2dvqpp55ajmHhwoV+1llnla+TWnXUMtlYWmk2xdpszRoLYJvPgHxIS+2l5QHM5oUpJtpAb0xC3wM8BDgFuJldE+17YlL7COChwPeBL9eJZyVwL7AG6AP+AXglMdEmJOF3x2T0IcAK4N9TxzvwG+A04FDgHcA40Bf37x8Tw0sICffjCUn9xak6Xgn8BXg+8GDgbOA+4KhMO/US7bMICfazYpzvB+5g10T7TmAYOBwYiNtfATwpjvnjCUn3J1PHPRK4H9gQ4/sX4M9MPtH+B+Bf4zgcGusbBw6P+xcT3my8BegCuuL2IwlvoF4NHBbj+Q5w0UTXmxLtgD2YaMdr0QcHB310dNSLxaIXCgUHfHR01AcHB8vJd2dnp7u7Dw4O+vDwsHd2drqZealU8uHhYR8cHHR399HRUS+VSl4sFst1lEqlinJJmVKp5IODg14sFn14eLgituHhYS8Wi+XySdvZY9N1pl/T0nWk+5Aul64zqSNddxJjcky1OtJtZ49zdy8UCt7Z2VnuW61+ZmOqFndSPmmjVCp5Z2enFwqF8liXSiUvFAre1tbmXV1d5eOSfel1MyvHme5/rdiqjXM6ziT29HXU2dlZMcbJz5Mx2VhaaTbF2mzNGguUaM/4peUBzOaFkGjfGxOn9PJX6ifa7wB+Aliqrteza6LtwENSZdbEZC5XI55nxoR0QY39vwHeWac/DrwjtZ6PfTktrr8kWz/whHjcoXH9t8CbMvVuBT6Vaadeov174KzUugE3sGuifW0D5+gEwpuaXFzfDFyRKfOxySbaNdr6LvCG1PpNwGsyZTYBH89sOyqOSUeVOs8EtgHbent7fdbaw4n2nl5yuZyPj49XbBsfHy/fzSbe0XZ3z+VyvnPnTo9foC2v53I5d3cfHx8v70vqMLOKctntgO/cubOinzt37qyILWk7qT+Xy1WtM3lNS9eR7kO6XLrOpI503UmMyTHV6ki3nT0ufe6SvtXqZzamanEn5ZM2kjFPfk7Kpc9xesyyY5iOM93/WrFVG+d0nMn5TZ/r7Bhn+9eIycbSSrMp1mZr1ligRHvGL5qjvfu+QUiU0svzJzjmcMJUB09tu7JKub+7+42p9d8BBWBRjXqvIEyJ+JWZXWhmLzCzBQBm1gEcBHx1gtiuTX7wMKf8FqAjbhogJLd3psp/m3CH+AgzOwB4EPCtTJ1jwBETtEuMcyHhDvD3UnE4cFWV4ldXOf5JZnaFmf3GzO4EPgfMiXUmffhO5rDseiNxzjOzc8zsx2Z2e3xCzErCpxX1rABOM7O7koUHxuuQbGF3P9fdV7r7yvb29smGudfaU/8AJgYGBhgbG6NYLFIoFAAYGxtjYGCAzs5OADo6OsplR0ZG6OjowMzo7e1lZGSEgYGB8nF9fX0Ui8VyHX19fRXlxsbG6O3tpa+vj4GBAYrFIiMjIxV9HBkZoVgslsun40zqS2JJtqdf09J1pPuQLpeuM6kjXXcSY3JMtTrSbWePAygUCnR2dpb7Vquf2ZiqxZ2UT9ro6+ujs7OTQqFAX18fIyMj9Pb2UigUaGtro6Ojo3zcyMhIeeyTdTMrx5nuf63Yqo1zOs7k/CblOjo66OjoqBjjJIbJmGwsrTSbYm02jcU+rNWZ/mxemPrUkUuAT2SOOTZzzP9n787j66rr/I+/Pje53EIpbVPShiFpEhY13IIIdcUFkB3FijguuIAVxmo6M+70V5fiMmo1M44jYwZGrFVSx0FlkEGFmVghLmhxYVFRVBBEhyICEpaAfH5/fL/ncu7pTXLT5uRmeT8fj/NI7vd8z/d8vt9vls89+Z6TM8hcQeXxq8d7jxFTM2HpxIcIV4F/R0h+l8Vjjx3j2B2uNJO6KktYK31VZv9uhKUhLwT2im0cnanzAeDasc6T2rcw7j8qU/45dryi/clMnU7C2vFPAM8kLA3Jrn3/MfC+zHGrqb6i/R7gxkyds6heOvIp4DeE5S2HEJaPfIfqNe+VsUuV/Qw4L9bPbruP9fWmpSMBWqOtNdpaoz0j1j3PpFjzpjXac3dreAAzeduFRPtDwE8zx6ybjEQ7U3834B7g7Pi6nqUjYyXau7J05HNjnSdT//fAO1OvR1s6kk20X0JI+ptSZW/JjOsAcEXmuAsyifYa4C6ql/acl0m0rwfOTb2ex443l/4i3Y9YdlG6HxPZlGgHk5loJ+2NtbW0tHhvb6+3tLRUypqamrylpcULhYK3t7dX7Wtvb69KNsvlspuZNzc3V7Wbrufu3tvb66VSyQEvlUre29tb2Ze0k5yvvb3dzayqvpl5uVweM/lL2iiXy97b21v1emBgoCreWm1nj6nVRq1zJm9UiMswmpqaxu1nNqZa50zGotY8ZOcwva+lpaVyXLrNdJz1xDaWgYEBb29vr4ojvZQlO/8TMdFYGmkmxZq3PMYCJdrTfmt4ADN5Y+cT7U7CuuGPEW72OzUmtM7jNx6ewQQTbeAFwN8BT4nnOCMmns+J+9cQboZ8M+Fq76HAW1PHj5do70FYvvIVwk19zyU8OSV9M+TfE26GfAW7djPkH4EXx/H5R0KC/81Una3smGgfEtt+K9AdY8jeZPoMwlKXdYSbEc8iJNWeaqeHx2+Y3J9wxfv/qE60v0RYZnNYHIuLY4ybUnWuIDzVZN9kzmKMDwD9cZ4OiPP2b+N9vSnRDsgh0RYRmYlQoj3tN63RbgB3v5Vw9fUU4CeExPfcuPuhXWj6HmAV4UklPwfeBrze3a+O5/0U4VF2ZxEeGfh1oDyBuB8AjicsEfk+4fF23wVel6r2CeCjwMZ4jhcDL3H3ifyzno8Rlop8hnCDIYTkfsyxcffrCG803gL8FHg9YQzSdb5HSJzXEBLlUwk3P6br/CzuPzvWORb4h8zp3gLcCVwNfC3GeXWmznuADuBXhLXuSYzPJbz5+hZh/j9ESORFRERkFrHwhkgazcz+jnD1d7G7P9boeKYbM/sh8G13Xztu5Vlq5cqVvm3btkaHsXM2LIQN905KU2aGfm6JiICZXevuKxsdh4yuudEBzFVm9ibCkzS2E5YzvJuw7GDOJ9lm1km4cv4twtfo2YTnVp/dyLhEREREJkKJduMcQHh29hLCTYr9hCvaEtZHv4awBKVAWAZyorvP0Mu5IiIiMhcp0W4Qd38zYW22ZLj7bcCzGx2HTC4zm5R2Fi9ePCntiIiI5E03Q4pI/jbcO2l3cN99992N7o2IiEhdlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtshcsmEhZjZnt5aWlkbPgIiIzCHNjQ5ARKaWuzc6hIYxs0aHICIic4iuaIuIiIiI5ECJtoiIiIhIDpRoZ5jZLWb2tl1s40gzczPbe7LimixmdpqZzd21AyINpuUrIiJzx4xJtM1sU0xek+0uM7vMzJ7U6NjyFPva1eg4RERERGRiZkyiHf0PsE/cjgN2B77S0IhyYma7NTqGXTHd4m90PI0+v0wva9eupVgsVp6GsmTJErZs2VLZN2/ePMyMefPmsXbtWgC2bNnCihUraGpqYsWKFaxdu3bU13vuuWfV01YKhcIO7aVt2bKFjo6OSv1isUihUGDFihWVuGpJx9TR0cGSJUsqbXR0dIx57GjnTeIsFAo121y7dm3VMektiXfLli1VxxWLRY4//vgdjkv3MzueSezZcU/ar1U3O8e15rFWv7NjVU/7M8ls68+u0FjMQe4+IzZgE3BZpuwFgAO7p8o+DNwEPAjcAmwE5mWOOxm4Jtb5I/DVpE485l3AvwH3AbcDb88cvxA4H7gT+DPwLWBlav+RMa69U2WnAtcDDwO3AesBS+2/BdgAXAjcA/xnLHegK35eBD4B3JFq58PjjNtrgFuBB4DLgDeFaa+q80LgWuAh4DfAB4HdUvuXAZfG8boVOBO4AdiQquOx7S8Dw8DHYvlBwH/HcboT2AK0Zc5/JvDTeP5fAG8GCuP062+Am4GR+PGszP6a8dRoZyvwKaAPuBvYDvwdUALOi3PxW+DVmeMOJrzxezAetwlYmP16Bd4Zv4bujOW7AR+JZcPAD4Dj6/keOPzww32XvXevXW9jBotf+w2PoVAo+OLFi/3yyy/3jRs3elNTky9YsMCPO+44b25u9r6+Ph8eHva+vj5vbm724447zru7u31wcNBHRkZ8/fr13tzc7OvXr9/h9THHHOOA77nnnn7kkUd6XCrmRx99dKW93t7eSjwDAwPe2trq++yzj59zzjne1tbmixcv9tbWVl+/fr13d3f7wMDADv0YGBioxLR582ZfuHChNzU1+bp16/yKK67wffbZx1tbW2seO9p558+f74VCwU8//XRvbW31PfbYwwuFgp9zzjl+xRVX+KJFi9zMvFgselNTkx999NFuZj5v3jwvFAq+atUqb21t9Xnz5nlTU5Nv3LjRL7/8cp8/f74DXiwWva2tzV/xild4U1OTz58/31tbW33VqlVV4zk4OOjd3d3e29tbNe6Dg4Pe2trqra2tVWXZMert7a05j729vZV+t7W1+RVXXLHDWKXHdbT2Z5LZ1p9dkcdYANt8GuRo2sbIVxodQN2BZhJtYAHwOeC6TL13A0cAXcBJMUl6f2r/CcCjwAdiEngI8DZgj7j/FkLy3QscAKyNSdsz434DhmLy+LRY5/2EpHyfWOdIUok2cDjwF+Bc4AnA6cD9wNpUXLfENt4R2zwwlqcT7bcSkuvnAsuBZwFnjjFmTwceIyT1TyAkp38klWgDx8fzngnsDxxFeKPysVSdrwM/AZ4JHAr8LyFx3pCq44RE+vXAfkA34S8Pd8XEsieO9VeB7xMTaeAs4PfAafGYFwJ/AHrH6NeLgUfiHD0hztEjwAvHimeUtrbG/m8ADoxj7MDXCAl3Mr8PA38Vj9kD+B1wCSHhfh7hDcKXMl+vfwYuAlYAB8fyi4DvxTncL/ZhBHjyeN8DSrR3HdMk0V62bJkPDg5Wyvr6+rxYLLqZeV9fX1X9vr4+N7Oq+uVy2fv6+rxcLu/w2sx8zZo1Pjg4WGlvzZo1bmaV9kqlUlVbXV1dPjg46OVy2QcHB31wcNC7uroqr5PzpCX70m2kY0q3UUut83Z1dfmyZcsq+4rFYlWbXV1d3tTU5EClvK+vr3JcqVTyrq6uyv5EV1eXFwoFByrnS47r6uryUqlUdZ4k/lKpVDXuSVtdXV1VZdkxStrLzmOpVKrqd/r4ZKzS4zpa+zPJbOvPrshjLFCiPe23hgdQd6AhcXk0Jqj3x2Tot8CKcY57A3Bz6vW3gS+MUf8WYEum7JfAu+LnR8fz756p82PgHfHzI6lOtC8CBjP1NwC3Z8771XH68glCkmtj1UvVHwCuzJT9O9WJ9lXAuzN1VsU+GvDE2JdnpPZ3EN44bEiVOfAvmXbeB/xvpmxxrPu0+LrW1eK/B346Rr++DVxY4+tjaKx4RmlrK/Dd1GsjXNW+NFVWjMnwafH1WcC9wIJUnWTOD0jFsx0opersT3jjszwTwyXAv44S39nANmDb8uXLfZcp0Z4228jISCWu4eHhSvnw8HBVzMm+dP1CoeDDw8NeKBR2eA34Pffc4yMjI5X27rnnnsqbjKS9dFuFQsFHRkYqH0dGRtzMqsqzkn3J52ZWFVNyXK1jRztvcg9Osi+JP2kjuTqfLk/3G6jUSY9jen9yvuS4dP10rMn4pcc93de07BiNNY/J8el202OVHtfR2p9JZlt/dkUeY4ES7Wm/zbQ12lcRrqgeSrhaOwhcYWYdSYX4VI0hM/uDmd0P/BPh6m/iKYRkdSzXZV7fASyNnx9OuKK53czuTzbCVcv9R2mvh5Acpg0B+5rZXqmybePEtYnQ91+Y2XlmdrKZjTWHPcB3M2XZ14cD6zN9GQDmA23AkwjJYSU2d7+NMCZZ2fgPB56bafu2uG9/M2slJO3/lqnzYUYfy6RftcbzoHHiGU1lvuMPrjsJy3ySskeAP/H410AP4S8pf0618R3COKVjuMHdH069PoyQyP8009+TGaW/7n6+u69095Wtra11dkfG0ugfugDLli1jaGioElN/f39lfXJ/f39VvP39/ZhZVf2enh76+/vp6enZ4bWZsW7dOoaGhirtrVu3rvK0k/7+fkqlUlVby5cvZ2hoiJ6eHoaGhhgaGqKzs7PyOjlPWrIv+byzs7MqpqGhIZYvX17z2NHO29nZydKlSyv7isViVZudnZ00NTVV+pH0e/ny5SxbtoxSqURnZ2dlf2L58uUUCoVKXOnjOjs7KZVKVedJ6pVKpapxT9pKzpGumz42aS87j6VSqTJW6XbTY5Ue19Han0lmW392hcZijmr0L50J/HLaxI5rtJsIV17fH18/g3DV+93AU0ktBUgd8wCZ9byZNm8B3pYp2wp8Mn7+TsJShwNqbEtjnSOpvqL9I+B9mTaPiXUWjHbeUeJbALyUsK74LsKbhprrmQlX2bPnXZ0ZjweBdaP0p5lwdfsvQHOmndvY8Yr2aZk6XyNcra3V9gLC2m8nrCPfoc4YY3A38LpM2euBP44VzyhtVeY2VVa1/jyWVZazEN68XZXZv1scpxeO8fX6MkIy3lOjv/uOF6uWjuw6psnSEa3R1hptrdGemf3ZFVqjPTe3hgdQd6C1E5cCYX1tX3z9VuDWTJ1PZBLLepaOjJVoHxuTpf3GaONI6ls6cttY561jTJ4ez/OEUfYPAFdkyi6oMR6fHeMcydKRp6fK2qm9dCSbaH+QsOymOEb7twPnTrDfoy0duXqseEZpa2cS7XqXjmS/Xp8Q6xy1M98DSrR33XRJtJNELH49eEtLS+WXbW9vr5dKJQe8VCpVkuKBgQEvl8teKBS8XC57b2/vqK+TxDLZkmQ73V7awMCAt7e3V+o3Nze7mXm5XB4zCUjH1N7e7i0tLZU22tvbx00gap03idPMarbZ29tbdUx6S+IdGBioOi55s5I9Lt3P7HgmsWfHPWm/Vt200eaxVr+zY1VP+zPJbOvPrpjssUCJ9rTfGh5A3YGGxOVKwnKGNsJVwfNi0ntkrPNCwhXt0wk3mq0hrJP1VDsnxSQxuRmyTHjKRfpmyLESbQOuJiwtOJFwA98zCTc6PifWSZKuJNE+LJ5zA4/fDPlndrwZcsxEG3gL8AoevyL6zzHh22OU+s+I47OOcHX/LMJV8PR4HE+4kfB9hOUvTyLcmLgxVefrhKvyzyAsXbkyxv/eVJ1aifZfEZZhfJnwpmA/wpX883n8Sv7rCVfV30xI6lcQrnCvG2McVsWY3xT7NdrNkHkl2nsQls58hXAz5HMJN5Bmb4a8rMb5Pk94cstpcTxWEm7GPXW8WJVo7zqmSaItIjIZUKI97beZtkb7GMKyjd8THs/3VOCl7r4VwN2/CnwU+Dhh3e2xwHvSDbj75YSnVpxISB6/RXjSxmP1BBC/sE8irA+/gJBgfZGQJNZat4y7/5Cw3OMlhCTuw3H7ZD3nTPkz8HbCUzt+SEh6T3T3B0Y57/cIS0XWEMbjVEKyn67zDcIa4aNiu98HziHcpJg4g3DleSvhMX8XERLoh8YK1t3vIDwB5jFCsn4j4c3Rw3HD3f8deB3wasKTTa4m3AD4mzHavYSQXL+Z8FjAvwPeGOc/d3G8jwf2IozXfxHWvr+ujsPPBD5DeOzkzwmPAHwuIfmWOSD8CBERkbnA9ENfJir+a/k7gFe4+5caHc9csXLlSt+2rd77O0exYSFsuHdyApqBzEyJrojMGmZ2rbuvbHQcMrrmRgcg05+ZHU24efF6wpM3PkhYgvL1RsYlIiIiMp0p0ZZ6FAlr2vcjPLXlGuC57j7c0KhEREREpjEl2jKuuI77G42OQyZH8jzluWjx4sWNDkFEROYQJdoic8mGe/ENjQ5CRERkbphpTx0REREREZkRlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA7M3Rsdg4jUwczuBX45Sc0tBO7N8Zjx6u7s/lrltcr2Bu4aJ8a87cwYT2Zb03W+apVrviZ2XD31xqqzq/MFjZ8zzVcoX+TurXXEII3i7tq0aZsBG3B+I9uayDHj1d3Z/bXKRynbpvmanvNVq1zzNbHj6qk3Vp1dna/pMGear8kdA235bVo6IjJzfLXBbU3kmPHq7uz+WuWTOS6TSfM18fJGavR8TeS4euqNVUfzNTltTdf5kmlES0dEZNYxs23uvrLRcUh9NF8zj+ZMpD66oi0is9H5jQ5AJkTzNfNozkTqoCvaIiIiIiI50BVtEREREZEcKNEWEREREcmBEm0RERERkRwo0RaROcXM9jOzT5vZxY2ORWozs/lm9lkzu8DMTm90PDI2fU+JjE6JtojMGGZ2oZndaWY3ZMpPMLObzOxmMztnrDbc/dfuvjrfSCVrgnN3KnCxu58FnDLlwcqE5kvfUyKjU6ItIjPJJuCEdIGZNQHnAScCBwGvMLODzOxgM7sssy2d+pAl2kSdcwe0A7fFan+ZwhjlcZuof75EZBRKtEVkxnD3q4C7M8VPA26OV9VGgC8AL3L36939BZntzikPWoCJzR1wOyHZBv2eaogJzpfMcma2ycw8bjfV2L/OzB4xs8fM7FEze0ksf1U85rG4/drMLO77ZzN70Mz+YmYjZrb3VPdrKugHmIjMdPvy+NVPCEnavqNVNrMlZtYPPMXM1uUdnIxptLn7MvASM/sU+jfT00nN+dL31OxmZiXgtcArgMXAgWb2xky1Y4FfunsBuArYHMuXAQ8CReBQwtfQ8+JfF3uBtwP/ATwG9OXclYZobnQAIiK7yGqUjfqfuNz9j8Ab8gtHJqDm3Ln7MHDmVAcj4xptvvQ9NbttAB5x9y8AmNnNwN8D/5qqcwiQvMk6B7gmXrn+NeHrZjfgZqCJ8JeS/QjLwl4bt1OAzrw70ghKtEVkprsd6Ei9bgfuaFAsMjGau5lF8zU3lYEHUq9vA56cqbMn8KP4+WsIV6gPjGXNwJ8JCfed7n6dmS0mJNorgK3AvFhn1tHSERGZ6X5A+FNmt5ntBrwcuLTBMUl9NHczi+Zrbqr7r4Zm9ipgJSHRfgzYA/gm8Azg98ASMzsB2B8YAW4ivIF7JJbNOkq0RWTGMLMtwHeBJ5rZ7Wa22t0fJaz1+wbwM+CL7n5jI+OUHWnuZhbNl6TcQEiYEx3AnzJ17gdeCawHTiMsEfkVcDLwE2AAeHckuYoAACAASURBVBnwO+CkWGcesAhYSljD3Z1bDxrI3EddyigiIiIic5iZ7QEMExLlKwhrrNe6+3mpOt8AjiIsM+kFTnX3DjP7W+CDwOsICfd1hPsvvkVYVrIC2Ae4Fvicu79uqvo1VbRGW0RERERqcvcHzOzzhKeDQHjE43lmdgtwjbu/jHCzYxNhKYgD34t1n0lYv50cex/wv+5+p5n9lrBsBOBRwhNIZh1d0RYRERERyYHWaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIzGlm1mVmbmYbcmh7Q2y7K1V2Riw7Mofz5dYXqV+cg02NjmO6MLOtZnZLo+MQaQQl2iIyrZjZYjN7KCYrr2p0PNNNTKY3mNmhjY5FRETG1tzoAEREMk4HdgN+A6wGPp/z+W4FdgcezaHtDwAfBh6exDa7gPcCtwA/zuzLsy8iIjJBuqItItPNauCbwMeB55nZ/nmezIOH3H3Sk1N3fzS27ZPd9ijny60vM5WZLWh0DDL5NK8yUyjRFpFpw8wOAw4FPgtcBDwCnDlK3ZPN7FtmdpeZPWhmvzWzL5vZE1J1OszsQjO71cweNrM7zew7ZvbaVJ0d1jWny8zsr83sx/EcN5vZmbHOcjO72MzuNrM/m9nns7/8a63RHqUvC8zsA2Z2TezPw/FcHzazPVL1ziC8CQH4TGzbzWzraH2J5c1m9k4z+2lclvNHM/uKmR2cqZfu9wvM7Aex/u/N7KNmVtdfQeuZm1ivzcw+YWa/Ts3PlWZ2bKbec2P5vbG9H5rZ6hrn3Wpmt5jZfsncAPel9puZrTGza83sgThv3zSzo2q09Roz+76Z3WNmwzHGi8ystZ4xiG0cY2bfi+f6g5n9s5nNT+1/SxzvY2ocW4pfW/9bx3n2MLN/jPP0QDzn881sk5nt8CbPzA40s8/F+iNxzD6aji3W2xTjW2hmn4rz85CZfdvMnl6j3cVmdkGc9+E4H4ePEffK+HWYfM3fZGbrs19nY81rnNO/N7Pr4nzeF9v5tJkVxxs7kbxp6YiITCergWHgS+4+bGb/DbzWzN7j7o8llczsecClwPXAh4B7gL8CjgEOAH4Rf1lfCewL/CvwC2AhcAjwHEIyP54XAG+Ix98d47vQzEaAfwAGgf8HPBV4HfAQ8Pqd6Pe+8bgvAQOEpR/PA94BPAU4Pta7Kp73/wHnA1fH8v8bp/2LgL8mjMengDbgTcB3zew57v6jTP2TgDcC/cCFwIuAtwF/iucfVT1zE+t1Ad8GlgGbgW3AfOAZse6Vsd4Lga8AfwD6gD8DLwf+3cz2c/f1mRD2BL4V214PLE3t+xzwCuBi4DNAibBU6UozO9XdL43nfBXh6+Nq4D3Ag8By4MTY3vaxxiA6DDgNuCD27yjgb4EVZnZs/Hr+LGE8VwP/kzn+xcBi4NN1nOs/CXN2SWynmzBmv8lWjInvIGFe/g34HfDkGNsRZvY8d38kc9g3CH1+H7AEeAtwuZl1ufufY7vFWO+phHH+HuFN8/8Af6wRx0kxxpsJ83o38Mx4jkOBl2YOGW1e3xWP+Srh6/Uvsf+nEOY32xeRqeXu2rRp09bwDZhH+GW7KVX2IsCBEzN1/zGWLx2jvUNinXeMc96uWG9DjbJhoDNV3kpIph8D3pJp58vACLBnqmxDbKcrVXZGLDsyVbYbUKwR2/tj3aelyo6MZWfU2ZdjY9l/AJYZn0eBq0fpdzpmA24Afl/HPI47N7He5bHe8TX2FeLHJsK683uAv8qM17cJSdWBqfKtsc0P1GjzxXHf2ZnyZkKS/5tkfOJc3gc07+TXssdtVab8n2P5y1NlA/FrqiVT90rC98O8cc51UmzzglHKPVP+E+DnwIJRxueMVNmmWPavmbovjeV/kyo7O5adm6n797H8llTZPMIbp6uyYwy8mR2/P8aa1x8CP92ZedKmbSo2LR0RkeniVMIVvPSV5v8G7iRcLU67N358yRjLGZI6R5nZ0lHqjOcSd781eeHu24GbCIn2eZm6VwNFQrI6Ie4+4vEqooVlHovNbG8ev8q5w5/pJ+DF8eMH3b2yjMDdrwMuA55dYznEJe5+S6quE5astJnZnuOcb9y5MbMW4ATg6+7+jex+f/yvF4cTriRf6O53pPaPAB8lLH98UY1TfKxG2asIV8MvMbO9kw1YRLga2gUcmOrDHsDJZmZj9HUsN7n7JZmyD8ePL06Vnc/jV9aBytX+5wMXuftD45znhfHjP6YL3f1y4GfpMgtLhQ4hJPelzDgMEd5gHVfjHP+UeT0YPx6YKltFeOPTl6n7KVLLd6JjCX/J+AywKBPH5bFOrThqzeu9wL5m9uwa+0QaTom2iEwXqwl/nr7dzA4wswMIyc+VwCnxl3Dik8CPiEs6zOxyM/vbdMIYE+QPEn5h/z6uy91oZk+dQEy/rlH2J8KV3eyTRP4UPy6ZQPsVZvZGM7uO8ISSuwljsTXuXrwzbUbdhDcGP6ux74ZUnbRa/U7+/D9e/8adG8ISEov1xpLEdWONfUns+2XKt7v7PTXq9wALCMtstme2DbHOsvjxHwhX0i8BtpvZl8zs9TaxG/B2GG93/z3h6vx+qbKthOU06TXnZxLG59/rOE8yvzfX2HdT5nVP/HguO47BnYSlO8vYUdXXg7vX+lrYj/B9cV+m7sPZ41NxXFgjjp/Hfdk4RpvX/0f4i8DVZva7uI7+lWa2W426IlNOa7RFpOHMrJuwhtWIa3hreBXhSSS4+x9jwvwcwtWx5xKuup1rZie5+3djvXeZ2YXAybHu64G3m9lGd39nHaH9ZYLlxD5MiJm9hXAl8ArgE8AdhGUo+xL+fL8rF0V25orsTvevzrlJ2hjvaSw7E/sDY7S1HXjlGMfeAODuvzSzgwhXlZ9PWC9/AaEPz3X3X9URx2h9q9WnC4CPxvXTPyIsL9rm7j+p4zz1jmW6bh/w9VHq/Clb4O6jfT1Y5vN6+5y8fjs7PqIycUfmdc15dffvWngy0fGEnyFHEeb4XWb2bHe/e5T2RaaEEm0RmQ6SK3hnEa74ZX2AcMXv40lB/OW/NW6Y2SHAtYSbo05O1fs18C/Av5jZPMINW+8wsz53vzOHvuyMVxOei32iV9/0eUKNuhN9VOCvCElID3BdZt9B8eMON83tijrm5peEfjxlnKaShLZcY18Se62r77X8EngC8D13v3+8yvFK7OVxS27e+2/CjYBvquN8B2ULzGwfwg252Zg3Ef76shr4L8JymQ/VcQ4Ic1cgLOPIXkV/Yub1L+PHv7h79ubLXfUr4Dgz2yt9VdvMSoSr7ukEPoljeDLiiPP5pbhhZm8kLO1aTVhiJNIwWjoiIg1lZgXCFbzr3f3f3f3i7AZsITyt4anxmL1rNPVzwtMhWmKdhdnHe8X1rkkysivLMSbbXwiJZ+XKX1zffE6NukmS2FJn28k64XXp9cZmtoLwZIahuPZ8UtQzN/Eq49eAE632o+2SOH8I/BY408zaUvuLhKuhTkhM67GZ8DuvZgJrZstSn9fqww/jx3rH/YlmtipTlvwVpWrttrvfFcteCfQSrt4O1Hmer8aPb04XxjcGPZm6PyJctX+DmWWX3CT3B9Tbv6z/Ity8+tZM+Rpgr0zZNwhLVc6pdT4z273eZTqTNFciudEVbRFptOOADsZ+jNmXCOtoVwM/AC4ws3bCUovkvyG+jLAGd3M85ijgfDP7EmGt6v2Em+teD1zj7tn1q410MSEB/JqZfZmQmLyS2o8m+ynhpr43mtkDhL8A3OnugzXq4u5XmtkXCY/EW2xml/H44/0eIjzWbTLVMzcQEsrvEPr8WcIV790JN37eArzT3f9iZr2Ex8D9wMzOJ/T9ZYTHAP6Du/+SOrj7xWb2GaDXwvPaLwPuAtoJj5U7gMfXTl9hZvcSnopxG+GGyTMIif3n6hyH64HPm9kFhCu4RxEe9/ctwhNgss4nPILxBcBns2udx3A5IXE9K3UDbTfhKSDXEW5+BMJNrWb2asLNjNfFZVU3Em78PIBwQ/I6whX2ifpMPOd74lKw7xL+YvFSwtXuSr7h4dGdryG8ubgpxnEzYZyfFON4MY/fozCWn5nZ94BrCMtN9olxjABf2Il+iEyuRj/2RJs2bXN7IzwD2IGDx6l3EyGp3J3wi/hS4HbCzYPbCQnMS1L1uwnP1f0Z4akHw/Hz9wELU/W6GP3xfhtqxLGV1KPKUuVnsONjyTZQ3+P9mggJzs2xP7cCGwlXJHeIg/Doth8SEmUHto4VNyHJeWfsf3Kz5SXZMR+n3zv0ZZR5GnduUnX3jXP0W0Ji9H+EBP35mXrPI9wUe1/s84+A19c7N5k6ryY8ISZp6xbC4/xelqpzVjzfH2JcvycktEfV+TXthGT1GEIC+GDs27+Qeaxe6hjj8SU1z5ng99B8wrKq/4vnugY4mvAG7oEa9TvjuN8S+/dHwhudDwEdqXqbyDweMNvHTFkL4Q3zHwnfb1uBlaPNC7AC+DzhWd7J/H8HeDepxx2ONa+Ev/pcRbhC/jDhjdF/AodNZAy1actrS54ZKiIiIg1kZjcCTe7+pElq73rC89knpT0RmTit0RYREWkwMzuacAPl+Ttx7O41yk4mXDG+ctejE5GdpSvaIiIiDRIT7P0JS4f2BPb3+G/NJ9DGhwjrob9J+AcuhxL+ydN9wKHufvukBi0idVOiLSIi0iBmthV4NuEm1ze5+9U70cZJhLXKBxEeH3g34YbHd7t7rX9kIyJTRIm2iIiIiEgOtEZbRERERCQHeo62yAyx9957e1dXV6PDEBGRaeLaa6+9y91bGx2HjE6JtsgM0dXVxbZt2xodhoiITBNmdmujY5CxaemIiIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIjIqMzsBDO7ycxuNrNzauwvmdl/xP3XmFlXLH+amf04bj8xsxfH8nlm9v1YdqOZnTu1PZo6SrRFREREpCYzawLOA04EDgJeYWYHZaqtBv7k7gcA/wR8JJbfAKx090OBE4B/M7Nm4GHgaHd/MnAocIKZPSP/3kw9JdoiIiIiMpqnATe7+6/dfQT4AvCiTJ0XAZ+Nn18MPN/MzN0fcPdHY/k8wAE8uD+WF+PmeXaiUZRoi4iIiMho9gVuS72+PZbVrBMT63uBJQBm9nQzuxG4HnhDknibWZOZ/Ri4E7jS3a/JtRcNokRbREREREZjNcqyV59HrePu17h7GXgqsM7M5sXyv8QlJe3A08xsxSTGPG0o0RYRERGR0dwOdKRetwN3jFYnrsFeCNydruDuPwOGgRWZ8nuArYQ13LOOEm0RERERGc0PgAPNrNvMdgNeDlyaqXMp8Nr4+WnAoLt7PKYZwMw6gScCt5hZq5ktiuW7A8cAP5+Cvky55kYHICIiIiLTk7s/ama9wDeAJuBCd7/RzN4HbHP3S4FPA58zs5sJV7JfHg9/NnCOmT0CPAa80d3vMrNDgM/GJ5oUgC+6+2VT3LUpYe6z8iZPkVln5cqVvm3btkaHISIi04SZXevuKxsdh4xOS0dERERERHKgRFtEREREJAdKtEVEREREcqBEW0REREQkB0q0RURERERyoERbRERERCQHSrRFRERERHKgRFtEREREJAdKtEVEREREcqBEW0REREQkB0q0RURERERyoERbRERERCQHSrRFRERERHKgRFtEREREJAdKtEWkfhsWYmazfmtpaWn0SIuIyCzQ3OgARGYrMzsD+KS779noWCaTuzc6hNyZWaNDEBGRWUBXtEVEREREcqBEW0RkGtmyZQtmRlNTEytWrGDLli1s2bKFjo6OHZa47LnnnnR0dFTqLl++vGr/kiVLmDdvHmbGvHnzOOSQQyqvm5ubaWpqquxbu3bthONcsWJF5dzHH398pe1CoUChUGDFihWsXbu2qt6WLVvGbGfLli2sXbu2Ku7jjz++Uqejo4MlS5ZU9bOjo6MyTitWrKBQKFQdn7xOYjrkkEN2GMtisVipnz6uVszZ2LPtj1Y/ke1feuxrjUe2vKOjo2rexzvfeOM9nUz3+CZqtvVHdoK7a9M25zdgK/ApoA+4G9gO/B1QAs4D7gF+C7w6dcyHgZuAB4FbgI3AvNT+M4D7M+d5IXAt8BDwG+CDwG71xHj44Yd7w713r0ZHMCXCj8apNzAw4N3d3Q74yMiIDw4Oemtrqy9YsMD32GMPNzOfP3++L1q0yHfbbTcHfPfdd/fNmzdXjjvssMN8+/bt3tnZ6YC3tbX58PCwH3HEEQ74EUcc4WeffbYXCgUvFAp+9tlne19fnzc3N3tvb++E4hwcHPSRkRFftWpVpe2uri5fs2aNNzU1+cqVK725udnXr19f6U93d7cPDAzUbGdwcND32msvLxQK3tfX58PDw3766ac74KtWrfLNmzf7woULvVAo+MKFC33jxo2+bNkyX7RokS9YsMBbW1t9/fr13tXV5aeffro3Nzf7EUcc4U1NTX766ad7d3d3ZZyKxaIvW7bMn/KUpzjgTU1NXigU/IgjjvDm5uZK/fXr11fFnB2D5Hx9fX1j1k/09vZ6c3NzpX/psa81Ht3d3d7b21sp37x5s7e1tfk+++zjmzdv3mFMJzJvEzl2Kkz3+CZqKvoDbPNp8DtU2xj5RaMD0KZtOmwx0b4P2AAcCLwVcOBrMeE+AHg/8DDwV/GYdwNHAF3ASTERf3+qzapEGzg+nuNMYH/gqJiof6yeGJVoT51GJdrlctkHBwerzt/V1eXFYrGSGA4ODvrg4KAXi0VfvHixF4tFL5fLDviznvUsL5fL7u5eKpUq5cnrU045xUulkpdKJe/r6/O+vj4vlUru7lWf1xtnolQq+Zo1a7xUKlXK+/r63My8r6+vEpO7++DgYOV1th1392Kx6G1tbVXnStoul8ve1dXly5Yt866urkp7yRh1dXVV2iyXy5U+JTEkY7tgwQIvFouVeqecckrlTUm2fvpjrTFI92Gs+umx6uvrqypL4qw1HoODg1XjmtRJn2Os89WKOdt+PcdOheke30RNRX+UaE//reEBaNM2HbaYaH839driVe1LU2VFYAQ4bZQ23gDcnHqdTbSvAt6dOWYVcD9go7R5NrAN2LZ8+XJvuDmUaDd6S5hZVfnIyIiPjIxUlRUKBQf8jjvu8EKhUOnDrbfeWmkL8O3bt1eOGR4e9uHh4cr+9OfjKRQKPjIyUjVe99xzTyW+dHvDw8OVmNzdR0ZGKq+z7SRtpesXCoVK28lV+HSdkZGRyhiZWaXNQqGwQwzJuCVtJPWScUnK0/XTH2uNQboPY9VP9294eLiqLImz1ngkMSflSZ30OcY6X62Ys+3Xc+xUmO7xTdRU9EeJ9vTftEZb5HHXJZ/EH2B3Atenyh4B/gQsBTCz08xsyMz+YGb3A/8ELB+j/cOB9WZ2f7IBA8B8oK3WAe5+vruvdPeVra2tu9g9mYhG/EAul8sMDg5WxdHZ2UmxWKRYLLJs2TKGhoYYGhqiWCyyePFiisUiPT09AJx22mmVz0ulEieddFKlnVKpxOrVqymVSpRKJfr7++nv76dUKgFUfT6enp4ehoaGqtpet24dpVKpUt7f34+Z0d/fX4kJYGhoqPI62w5AsVhk6dKlVedK2u7p6WH58uUsW7aM5cuXV9pLxqizs7PSZk9PT6VPSQzJuebPn0+xWKzUW716NQBLly7doX76Y60xSLc7Vv30WPX391eVJXHWGo+hoaGqcU3qpM8x1vlqxZxtv55jp8J0j2+iZlt/ZCc1OtPXpm06bIQr2p/MlN0AbMiU/QHoBZ4BPEpYPvJUUstNUnXPoPqK9oPAOsIylOzWPF6MWjoyddAa7bri1BptrdGeTNM9vonSGm1t7lo6ok0b7juVaL8VuDWz7xPjJNrfBj67szEq0Z46jUq03cMvZ+IygnK57AMDAz4wMODt7e07LC+ZP3++t7e3V+p2dHRU7W9pafFSqeSAl0olP/jggyuvk8Qy2Vdvkp2Os1wuV8593HHHVdo2MzczL5fL3tvbW1WvVsKa3d/b21sV93HHHVep097e7i0tLVX9bG9vr4xTuVx2M6s6PnmdxHTwwQfvMJbNzc2V+unjasWcjT3b/niJVLZ/6bGvNR7Z8vb29qp5n0jiNlr708V0j2+i8u6PEu3pv1mYJ5G5zcy2Aje4e2+q7AbgYnffkCr7A/AB4FbgK8Brge8SbnR8H7C3u1usewapf1hjZscDlwEfAr5IuCK+Aniau79jvBhXrlzp27Zt29Wu7poNC2HDvY2NYQqYGfrZKCLTnZld6+4rGx2HjE5rtEV2grt/Ffgo8HHC2u5jgfeMc8w3gJMJTxv5ftzOITytRERERGYZXdEWmSGmyxVtO/e+xsYwBRYvXszdd9/d6DBERMakK9rTX3OjAxCRGWTDvTy+kEZERETGoqUjIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItMpdsWIiZzamtpaWl0aMuIiJzVHOjAxCZTGZWAD4FnAa0AEe5+9YGxbIVuMHdextx/tG4e6NDmFJm1ugQRERkjlKiLbPNScCZwJHAr4G7GxqNiIiIzFlaOiKzzQHA7939O+7+B3cfaXRAMjclV9K3bNnCihUrKBQKzJs3j0KhQEdHBx0dHTQ1NbFkyRKKxSJmxrx58zjkkEOYN29ezdfFYpElS5bQ1NTEihUrWL58edUymUMOOWRCMdaKbcWKFaxdu3bMmFesWMGWLVuq2lq7dm1V3GvXrq20P9oxteJIxiLpb9JeoVBgyZIlNDc3V/YvWbJkhzazfTIzCoVC1ceOjg6WLFlSNXYdHR2Vfjc1NVX6m25nrLFO9zU7VunxTPevo6Nj1DGZKeqdYwk0XnOQu2vTNis2YBPgqe0WwIB3AL8CHgSuB16VOqYr1n058K1Y50fAIcAK4DvAMDAEdKeO2x/4L+APcf8PgRdk4tkKfDL1ejfgI8Dt8ZgfAMfX27/DDz/cd9l799r1NmaY8GOuMecdGBjw7u5uX79+vXd1dXlfX5+3trb6woULfZ999vFjjjnGm5qavKWlxS+88EI/4ogjHPAjjjjCh4eHq15/5jOf8ZaWFi8UCr5mzRrv7u52wA877DDfvn27n3LKKQ74wQcfXFd8tWLr7u72VatWeXNzs69atcq7u7u9r6/P9957b1+0aJG3tbX55s2bfXBw0Lu7u31gYMDd3Xt7e725udn7+vp8eHjY+/r6vFAo+F577eWDg4M+MjKywzG14mhtbfXFixf7woULfa+99vI999zTC4WCn3766b5gwQI3My8UCv6Od7zDN27c6E1NTb5gwYJKm9k+JeNXLpe9qanJn//853uhUPBisehm5osWLfKNGzd6W1ub77777l4oFHz9+vW+efNmb2tr80WLFnlra6u3tbU54AcccIB3dnb6YYcdVjXWyXkHBwd98+bNvs8++1TGav369ZXx3Hvvvb2lpcXb2tr8nHPO8ba2Nm9tbd1hTGaKdL/HmmMJ8hgvYJtPg9+/2sbITRodgDZtk7UBC4FzgduANqAV+CBwE3AC0A28Mia5J8djkkT7JsKykycB3wRuiB+PAsrANuCrqXM9GXgDcDDhKvp6YAR4UqpONtG+CPge8FxgP6A3HvPkevqnRHvnNDLRLpfLPjg4WPno7t7V1eVdXV0+ODjoZuZ9fX2VOqVSyU855RQvlUru7lWvkzb6+vq8VCo54M961rO8XC5Xzpkk2/WoFdvg4KCXSqXKOWrFnJwv/XlyTFpbW5sXi8WqsvQxteJIzpGcr6ury9va2rxcLnuxWPSmpibv6+urtNHX1+fFYrHyOtunUqnka9asqcRXLpd92bJlDnhbW5t3dXVV4ioWi75s2TIvl8uV45MY0mOdtJ8e6/QYJp8n9crlcmU8k/6lY+zq6tphTGaKdL8TteZYgjzGS4n29N8aHoA2bZO5AW8Dbomfz49XqJ+TqfNx4PL4eZJo/01q/wti2ampsjOA+8c59/eAd6VeVxLteAX8MWB55phLgH8do82zY5K/bfny5b7L5mii3aitUCj4yMhI5aO7V67KjoyMOODDw8OVOoBvKmTlUQAAIABJREFU3769ksClXyfHDA8PV9q/4447vFAoVPqaPnY8tWJLxwRUyguFgptZpX5SN/k8OSbbfjaW9DG14kjOkYxR8jFpKzlP0kYSZ/I62yfA77nnnqrj0nNjZlX9TsqzMaXHOilPj3V6DJPPk3qFQqEqzvS+dF9nonS/E7XmWII8xkuJ9vTftEZbZrODgHnA183s/mQD1hAS37TrUp//X/x4faZsvpntAWBm881so5n91Mz+FNtdCSwfJZbDCMtYfpqJ5eQasVS4+/nuvtLdV7a2ttbXa9lBI364AvT09DA0NFT5CNDZ2cny5csZGhrCzOjv76/UKZVKrF69mlKpBFD1Ommjv7+/sv+0006jp6en0s/Vq1fXPSa1YhsaGqJUKlXOkZQvX76czs7OSv2kbvJ5ckza0qVLKRaLVWXpY2rFkZwjGaPOzk6WLl1KT08PxWKRpqYm+vv7K2309/dTLBYrr7N9KpVKrFu3rhJfT08Py5Ytq8TX2dlZiatYLLJs2TJ6enoqxycxpMc6aT891ukxTD5P6vX09FTGM5n3dIydnZ07jMlMke53otYcS6DxmqManelr0zaZG9VXtJ9OuEp1NGF5R3rrjHW6Yp2VqTZWxrKuVNkJsWzP+PpTwG+AlxDWcx9AWM+9KXXMVh6/ov0ywhXtnhqx7FtP37R0ZOegNdo1aY221mjvKq3Rnhit0Z6bW8MD0KZtMrdMor0AeAg4c4z6O5toXw+cm9o/j3DVe1OqLJ1oPyEef9TO9k2J9s5pZKLtHn65lstlNzMvlUpuZt7e3u7t7e1eKBS8paXFm5ubHfBSqeQHH3xwZQ129nVzc3Ml2S6Xy97R0VG1VKXeJDtRK7Zyuey9vb1jxlwul3dIDnp7e6vi7u3trbQ/2jG14kjGIulv0p6ZeUtLizc1NVX2t7S01Ezc07EDleUfycf29nZvaWmpGrv29vZKvwuFQqW/6XbGGut0X7NjlR7PdP/a29tnfFJa7xxLMNnjpUR7+m8W5klkdjCztwG97t4VX3+AsFTk7cBVwJ7AM4DH3P18M+siXJl+qrtvi8esJDwRpNvdb4llJwBfAxa4+/1m9iXgQMLa7UeA9wLHAl9x9zPiMVtJ/cMaM/s88BzgrYSnlLQQn/ft7l8er28rV670bdu27ezQBBsWwoZ7d62NGcbM0M85EZmNzOxad1/Z6DhkdPqHNTLbvZtwpflthOUe9wE/BjbuYrtvAT4NXA38iXCD5bxxjjmT8HSSjUA74Z/pfJ/wdBMRERGZZXRFW2SGmKwr2nbufZMT0AyxePFi7r5b/yBURGYfXdGe/nRFW2Qu2XAvvqHRQYiIiMwNeryfiIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA6UaIuIiIiI5ECJtoiIiIhIDpRoi4iIiIjkQIm2iIiIiEgOlGiLiIiIiORAibaIiIiISA7M3Rsdg4jUwcy2A7fWWX0hcO8knHai7dRbf7x6Y+0fbV+t8lplewN31RFjHho1LxM5Zi7OjeZl7DJ9z+xavYnOTb3ztTcw391b64hRGsXdtWnTNss24PxGtFNv/fHqjbV/tH21ykcp2zbX5kVzo3mZifMyV+em3vlq5Lxoq3/T0hGR2emrDWqn3vrj1Rtr/2j7apVP1jhMlkbNy0SOmYtzo3mp/zxTbS7OzUTmS6Y5LR0RkTnFzLa5+8pGxyE70txMT5qX6UnzMjPoiraIzDXnNzoAGZXmZnrSvExPmpcZQFe0RURERERyoCvaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iEpnZfmb2aTO7uNGxzHVmNt/MPmtmF5jZ6Y2ORx6n75PpycxWxe+X/zKz4xodjwRKtEVkVjCzC83sTjO7IVN+gpndZGY3m9k5Y7Xh7r9299X5Rjp3TXCOTgUudvezgFOmPNg5ZiJzo++TqTPBebkkfr+cAbysAeFKDUq0RWS22ASckC4wsybgPOBE4CDgFWZ2kJkdbGaXZbalUx/ynLOJOucIaAdui9X+MoUxzlWbqH9uZOpsYuLz8q64X6YBJdoiMiu4+1XA3ZnipwE3xytwI8AXgBe5+/Xu/oLMdueUBz3HTGSOgNsJyTbod1XuJjg3MkUmMi8WfAT4mrv/cDLjGO8vg2ZWMrP/iPuvMbOuWH6smV1rZtfHj0enjvm6mf3EzG40s/74BmLW0Q8vEZnN9uXxq6IQkrd9R6tsZkvMrB94ipmtyzs4AUafoy8DLzGzT6F/Pd0oNedG3ycNN9r3zFrgGOA0M3vDZJ2szr9srAb+5O4HAP8EfCSW3wW80N0PBl4LfC51zF+7+5OBFUAr8NLJink6aW50ACIiObIaZaP+ly53/yMwab+gpC4158jdh4EzpzoYqTLa3Oj7pLFGm5dPAJ/I4XyVK+gAZpb8ZeOnqTovAjbEzy8GPmlm5u4/StW5EZhnZiV3f9jd74vlzcBujPGzeSbTFW0Rmc1uBzpSr9uBOxoUi9SmOZq+NDfT01TPSz1/GazUcfdHgXuBJZk6LwF+5O4PJwVm9g3gTuDPhAR91lGiLSKz2Q+AA82s28x2A14OXNrgmKSa5mj60txMT1M9L/X8ZXDMOmZWJiwn+ZuqCu7HA/sAJeBoZiEl2iIyK5jZFuC7wBPN7HYzWx2vrPQC3wB+BnzR3W9sZJxzmeZo+tLcTE/TZF7quYJeqWNmzcBC4k2cZtYOfAV4jbv/Ktu4uz9EeKMwK2+0NfdZuSRGRERERHZRTJx/ATwf+B3hivor08m9mb0JONjd32BmLwdOdfe/NrNFwLeA97n7l1L19wQWuPvvY/sXAVe7+yenrmdTQ4m2iIiIiIzKzE4CPg40ARe6+wfN7H3ANne/1MzmEZ4o8hTCleyXu/uvzexdwDrgl6nmjiMsNbmMsGSkCRgE3hyv1s8qSrRFRERERHKgNdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItIiIiIpIDJdoiIiIiIjlQoi0iIiIikgMl2iIiIiIiOVCiLSIiIiKSAyXaIiIiIiI5UKItInOGmXWZmZvZhhza3hDb7kqVnRHLjszhfLn1ReoX52DTbD2fiOwaJdoi0jBmttjMHorJw6saHc90E5PpDWZ2aKNjERGRiWtudAAiMqedDuwG/AZYDXw+5/PdCuwOPJpD2x8APgw8PIltdgHvBW4BfpzZl2dfRERkEuiKtog00mrgm8DHgeeZ2f55nsyDh9x90pNTd380tu2T3fYo58utLzOVmS1odAwiImlKtEWkIczsMOBQ4LPARcAjwJmj1D3ZzL5lZneZ2YNm9lsz+7KZPSFVp8PMLjSzW83sYTO708y+Y/b/2bv3+LjqOv/jr89MhgmXtiRt2lSadIIgxgRWpeq6eAGBclGh3tHiWreIVlN/v5+rQq2rXdcVRbPreu2CIqAm6oIioq5FI0i9IEUU8IIiFEVACuUi4RLBz++P7/cMJ6eTZNL2ZJL2/Xw8vo+Z+Z7v+Z7vZZJ85sz3nNjrUmW2WdeczjOzV5rZz+MxbjSz18cynWZ2gZltNbO/mNkXskFdrTXaY/Rllpm938yujP15JB7rg2a2V6rcCsKHEIDPxbrdzC4bqy8xv8nMTjOzX8VlOXeb2dfM7OBMuXS/X2RmV8Xyt5vZh82srm8865mbWK7dzD5mZjel5udSMzs6U+55Mf++WN/PzGxljeNeZmabzWz/ZG6A+1PbzcxWmdnVZvZgnLfvm9kRNer6RzP7qZnda2bDsY1fNLO2esYg1nGUmf0kHusOM/svM9s7tf1tcbyPqrFvOb63vlfv8TL7v8rMLo5j/0ici4vM7JAaZTfHsXuymX0zjst9cQzba5Q/xMw2xHG528zOM7N5llkrbmaHx7wVNeo418w8k/fMmP/b1Pz80MxeMkYfn29mP47viWR8e8b4Gah77kXypqUjItIoK4Fh4EJ3HzazbwKvM7P3uPvfkkJm9nzgYuA64AzgXuAJwFHAAcBvY1B4KbAf8Cngt8Ac4BDguYRgfiIvAt4U998a23eOmY0AHwCGgHcBzwD+CXgYOGU7+r1f3O9CYICw9OP5wDuBpwHHxHI/iMd9F3AWcEXM//ME9X8ReCVhPD4NtANvAX5sZs9192sy5Y8H3gysB84BTgTeDtwTjz+meuYmlqsAPwQWAOcDm4C9gb+PZS+N5V4MfA24A+gH/gKcBHzGzPZ397WZJuwDXB7rXgvMT237PPBq4ALgc0CZsFTpUjN7qbtfHI95MuH9cQXwHuAhoBM4Lta3ZbwxiJ4OvBw4O/bvCOCtQK+ZHR3fz+cRxnMl8N3M/i8BWoDP1nGsWvoI79mzCGP3ROBU4Idm9nR3/12m/H7AZYSxfgfwd8AbgdnA0qSQmR1IGJcC8DHgT4T3y7e3s51pLwGeDHyFsAxqLvA64KtmttzdB1LteA6wgfCe/CDhffZK4LAx6q5r7kWmhLsrKSkpTWkCmgmBwbmpvBMBB47LlP2PmD9/nPoOiWXeOcFxK7Hcuhp5w8DiVH4bIZj+G/C2TD1fBUaAfVJ562I9lVTeiph3eCpvD6BUo23/Fss+M5V3eMxbUWdfjo55XwYsMz6PAleM0e90mw24Hri9jnmccG5iuW/FcsfU2FaIj0VCwHUv8ITMeP0QeAw4MJV/Wazz/TXqfEncdmomv4kQ5N+cjE+cy/uBpu18L3tMyzL5/xXzT0rlDcT3VGum7KWEn4fmOo93biZv7xrlugnXC3wqk7851vHKTP4nY/6TU3lfiXmHZcp+OduOCd6r5xJWO03U5r2AG4BfZfJ/Gsdt/1ReKb4vsj8Ddc+9ktJUJC0dEZFGeCnhDF76TPM3gTsJZ4vT7ouPLxtnOUNS5ggzmz9GmYlc5O63JC/cfQvhj/7fCEFI2hWEP/SVyR7E3Ufc/a9QXebRYmbzePws57O2o+2J5Gv3f3f36lf17n4tcAnwnBrLIS5y982psk5YstJuZvtMcLwJ58bMWoFjgf919+9kt/vj314cSjiTfI6735baPgJ8mHBW9cQah/hIjbyTCWfDL4rLHObFMd4X+AZh3g5M9WEv4IVmZuP0dTw3uPtFmbwPxsf0UoizePzsKlA9238k8EV3f3h7Du7uw7EuM7PZsa/J+7fW++k2d/9KJm8oPh4Q6yoSzl7/1N1/mCnbvz3trNXmeKy9zGwuYR6GgG4zmx23LSB8i/R1d78ptf9fCR9msiYz9yK5U6AtIo2wkhAI3GpmB5jZAYQ/gJcCJ8Q/jIlPANcQl3SY2bfM7K3pgDEGyP9O+Nr79rg280wze8Yk2nRTjbx7CGd2s3cSuSc+zp1E/VVm9mYzu5ZwxnErYSwui5tbtqfOqIvwweDXNbZdnyqTVqvfd8fHifo34dwQAjeL5caTtOuXNbYlbd8/k7/F3e+tUb4bmEVYZrMlk9bFMgvi4wcIZ9IvAraY2YVmdopN7sLKbcbb3W8nnJ3fP5V3GWE5TXrN+esJ4/OZSRxvFDN7mpldQggw7+Pxvh5M7fdTPXPeRljec0ONsrXyJsXM5pvZWWb2Z8K3KncR2vymWGTf+Ji8L+ptx2TmXiR3WqMtIlPKzLoIa1iNuIa3hpMJdyLB3e+OAfNzCUsjngf8J/CvZna8u/84lnu3mZ0DvDCWPQV4h5md6e6n1dG0xyaZT+zDpJjZ2whnBDcQ1r3eRliGsh/hK/YdOQGyPWdkt7t/dc5NUsdEd2PZnrY/OE5dW4DXjLPv9QDu/jszewrhrPKRhPXyZxP68Dx3/30d7Rirb7X6dDbwYTM7lPDhYwWwyd1/Ucdxtj2AWSdhPf/9hOVHNxACVyf8DNX6VqKeOR9vPmr1d7z5HRVrxG8ONhCC4o8BVxE+IDxG+ODxGh7/OZjs+6LuuReZCgq0RWSqJWfw3kA445f1fsIZv48mGe7+GOGM72UQ7oQAXA28mxBYJ+VuAj4OfNzMmoHvAO80s353vzOHvmyP1xLWyR7noy/6PLZG2cneKvD3hIspu4FrM9ueEh9vnmSd46pjbn5H6MfTJqgqCWh7amxL2l7rTGwtvwOeBPzE3R+YqHD8xuJbMWFmxxOWMr2NcCHpRJ6SzTCzhYQLcrNtPpfw7ctK4OuE5TJn1HGMsbyEEEyf4O7fT2+IyzG2977udxIC9oNqbHtyjbyt8bG1xrbsNxGHEC7AfJ+7vze9wcyyFxgn41erHbXyJjX3InnT0hERmTJmViCcwbvO3T/j7hdkEzBIuFvDM+I+82pU9RvC3SFaY5k5ZlZKF4jrXZOv9HdkOcbO9hgh8KyeqYvrm0+vUTYJFGoFL7Uk64TXpNcbm1kvcAKwMa493ynqmRt330q4S8VxVvvWdkk7fwb8AXi9pW4zF+f1HYQx+3qdTTuf8PetZgAb1/2O14efxcd6x/0gM1uWyUu+RRm1dtvd74p5ryHcLeRBwkWS2ys5Oz3qzK+ZvYFwx5ntEj9AfRt4ppll7+7xzzV2uZlwwe2oOTazfyDcXaaeNvcyek077v5nwkWMJ5rZ/qmyJeD/1GhH3XMvMhV0RltEptJSoIPxb2N2IWEt5UrCV8pnm9kiwlfNyX9DfBVhHeb5cZ8jgLPM7ELCV+cPEC6uOwW40t13eE3pTnQBIQj4tpl9lXBLtdcQ7iOe9SvCuts3m9mDhG8A7nT3oRplcfdLzewrhFvitcR1u8nt/R4m3HJuZ6pnbiAElD8i9Pk8whnvPQkX6m0GTnP3x8ysj3DLuavM7CxC319FCNQ+4Nvepq4md7/AzD4H9Fm4X/slhDXAi4BnE9aNJ0HbBjO7j7D84o+EtcErCIH95+sch+uAL5jZ2YQzqkcQbvd3OeEOHVlnEW5P9yLgPHe/v0aZen2bEKx/3sw+Qbh+4DDChYy/Z8f+zr+b8A3J/8a6byV8S5GswU9fcPuAhftqn2Jmg4RvOA4kfIN1LeEMduLXhLX477Rw7/gbCGeh30hY1vH0TDveTrh+40dm9inCMpNXEu5Ik23HZOZeJH+Nvu2JkpLS7pOA/yH8UTx4gnI3EILKPQl3KLmY8Ef+EcL6y8uBl6XKdxHuA/1rwlrV4fj8fcCcVLkKY9/eb12NdlwGbK6Rv4Jtb9u3jvpu71cE1gA3xv7cApxJWO6xTTsIAdPPCIGyA5eN125CYHVa7H9yseVF2TGfoN/b9GWMeZpwblJl94tz9AfCmvQ/EwL0IzPlnk8Iqu6Pfb4GOKXeucmUeS3hDjFJXZsJt/N7VarMG+Lx7ojtup2whOSIOt/TTlgOchRwJeFs/p8JS5hmjbGP8fiSmudO8meo1u39ngdsJHwwuZew7KW31hjFMbisRr2HU+P2fIR/KvVdQjC/lfABqiuWzd46cB/CGvS7Y/mNwD9Q+/Z+iwm/D7bEsj8lnM2u+d4DXgD8JM7jnwl3HHkWY9zWs565V1KaipTcR1RERESmiJn9Eii6e631ztNavJBzE7DG3T84Ufkc2/EywjdEr3b3LzWqHSLj0RptERGRKWRmLyBcQHlWo9syETPbM/PaCP/FFOJ/9JyCNli8uDmdVyJcrPooj98aU2Ta0RptERGRKRAD7CcSlg5tISyzmO5+bmZDhHXoewMvJtzO8cvufvUUtaEM3GJmXyQsK5tLWLt/CPAhd79jitohMmlaOiIiIjIFzOwy4DmEi1zf4u5XNLZFEzOzMwnBdQfh5NzNwBcJAW6tC3jzaEOR8KHk+cBCwhr3G4Cz3P1TU9EGke2lQFtEREREJAdaOiIyQ8ybN88rlUqjmyEiItPE1VdffZe7t01cUhpFgbbIDFGpVNi0aVOjmyEiItOEmd3S6DbI+HTXERERERGRHCjQFhERERHJgQJtEREREZEcKNAWEREREcmBAm0RERERkRwo0BYRERERyYECbRERERGRHCjQFhERERHJgQJtEREREZEcKNAWEREREcmBAm0RERERGZOZHWtmN5jZjWZ2eo3tZTP7ctx+pZlVYv4zzeznMf3CzF5Sb527CgXaIiIiIlKTmRWBTwLHAU8BXm1mT8kUWwnc4+4HAP8JfCjmXw8scfenAscC/21mTXXWuUtQoC0iIiIiY3kmcKO73+TuI8CXgBMzZU4EzovPLwCONDNz9wfd/dGY3wz4JOrcJSjQFhEREZGx7Af8MfX61phXs0wMrO8D5gKY2bPM7JfAdcCb4vZ66twlKNAWERERkbFYjTyvt4y7X+nuPcAzgDVm1lxnnbsEBdoiIiIiMpZbgY7U60XAbWOVMbMmYA6wNV3A3X8NDAO9dda5S1CgLSIiIiJjuQo40My6zGwP4CTg4kyZi4HXxecvB4bc3eM+TQBmthg4CNhcZ527BAXaIrLj1s3BzHZaam1tbXSPRESE6prrPuA7wK+Br7j7L83sfWZ2Qiz2WWCumd0IvA1Ibtf3HOAXZvZz4GvAm939rrHqnLpeTR1z3yWXxIjscpYsWeKbNm1qdDNqWzcH1t2306ozM/S7SURkfGZ2tbsvaXQ7ZGw6oy0iIiIikgMF2iI7wMxWmNkDdZatmJmbmc4+iIiI7AYUaMuMZGZtZvYpM9tsZo+Y2Z/N7HtmdvQUN+XLwP5TfEypk1mtO0iJiIhMjaZGN0BkO10I7EX4t683AvOB5xNvkD9V3P0h4KGpPKaIiIjMDDqjLTOOme0LPBc43d2/5+63uPtV7v4Rd/9SLLPZzNaZ2RfM7AEzu8PM3p6p521mdq2ZDZvZn8zsM7HuZPuKuO+RZnZ9LPd9M+vKlkm97jCzr5vZVjN70Mx+Y2YnZbqw2Mwujdt/1YCz8LudwcFBent7KRaL9Pb2Mjg4yODgIB0dHdU7ncydO5eOjg6KxSIdHR01n/f29nLMMcfQ3NyMmVEqlarP0/Uk9SfH7OjoYO7cudUypVIJM6NQKGBmNDc3s3r1alavXl2tL8mrp2/pfpgZHR0dDA4ObvfYZPPTYzB37txR7S8UCqP2S+9bKBRobm6uPib9qtX3yfYxGev0uKb7v3r16m32KRaLo+agUChU+5Zuaz39yZYZbyynm5nSzulMYyh1c3clpRmVCN/E/AX4GNA8RpnNwP3AWuBJwBuBEeClqTL/F3gBUCGcDb8W+Hxq+wrgr8B3gWcChwDXAN/JlHkg9fobwKXA3wFdwLHAsXFbhfCfr34DvBg4EDgPuBvYZ6J+H3rooT5tvXf2Tq0u/GraOfUMDAx4V1eXDw0N+cjIiA8NDXlbW5vPnj3b29vbfcOGDX766ad7sVj0OXPm+KpVq7y9vd0XLlw46vn555/vy5Ytc8CXL1/u55xzjpfLZQe8XC77GWec4S0tLW5mvueee3pbW5sPDQ35+eef73PmzPFisegnnHCCt7e3V/c78sgjvVKp+PLlyz2u3/f+/n4fHh72/v5+b2pq8r6+vjH7NzAw4G1tbb7vvvv6ggUL/Mwzz/T29nbfd999va2tzQcGBsYdn1pj09XV5X19fdX8888/3xcuXOjt7e1+1FFHeaFQ8H322cfnzZvnq1at8mKx6MuWLfOuri4fGBio1rl27Vrv6ury5cuXe7FY9MMOO8ybmpr8SU96kgN+1FFHVfs+Xj/TfZwzZ463trZ6S0uLNzc3O1Ad7yR/zpw5vueee7qZ+V577eXt7e3+6le/elTZOXPmeEtLi8+aNcvnzJnj++67r8+bN8/7+/tHtb1Wf/r7+71SqYwqM95YTjQHU22mtHM6m05jCGzyafB3WWmcmKXRDVBS2p4EvIzwX6ceBn4MfAR4Vmr7ZuDSzD6fATaOU+exwCNAIb5eEQPjg1JllseAPV0mHWhfC7x3jPqTQPuNqbz9Yt5zJuqzAu3tq6enp8eHhoZG5VcqFS+VStX8np6eagBVLpd9aGjIh4aGRj3v6enxcrnsq1at8p6eHu/p6fFSqeSzZs3yUqnk7u5DQ0O+YMECB7xSqVTrrlQq3t/fX62vVCp5S0tLtW09PT1eLBa9WCyOameyz1iSuiuVSrUvQ0ND1byenp5xx6fW2KT7nS4zNDRU/SCQ1J9uY9KPdJ+Sx6RMf3+/m1l1DLPbJ+pj0s9kDJMxS+Yy6XuyLcnv6enx9vZ2X7BggZdKpWo9yfN0f7Jtz/anVpnxxnKiOZhqM6Wd09l0GkMF2tM/NbwBSkrbm4Bm4GjgPcCPYsD6rrhtM/C+TPmVwNbU6xfEs8+3xjPkD8Y6nhC3rwAeztRxRCzTmirzQOYYf43B//uBQ1PbkkD72ak8i3kvHaOPpwKbgE2dnZ0+beUQaO+sVCgUfGRkZFT9hULBgWp+oVDw4eHhUfkjIyOjnifb7r33Xi8UCtXXyaO7+8jIiJtZNT+p28x8eHi4Wl+yPWlbUkf2A0ayz1iSOsys2pekDcm28dQam3S/02WS/OHh4Wr96TYm/Uj3KXlMyiSPyRhmt4/Xx3TdSVvSKTtP6fz0fKXfE8nzdH+ybc/2p1aZ8cZyojmYajOlndPZdBpDBdrTP2mNtsxY7v6wu1/q7u9z938g/GeqdfHfuY4r/ivYbxL+I9UrgEOBf4qb0/s/mj1sfKz5s+PunyUsGfkcYcnKj8xsXabYX1PlJ6rvLHdf4u5L2traxuvSLmdn/IID6O7uZuPGjaPq7uzspFQqVfO7u7tZv349nZ2dlMtlNm7cyMaNG0c97+7uplwus2bNGrrkuzHbAAAgAElEQVS7u+nu7qZUKrH33ntTKpUA2LhxI/Pnz68eI6l78eLFrF+/vlpfqVRizpw51bZ1d3dTLBYpFouj2pnsM5bu7m46OztZvHhxtS8bN25k8eLFdHZ20t3dPe4Y1xqbdL/TZTZu3IiZsX79+mr96TYm/Uj3KXlMyqxfvx4zq45hdvt4fUxS0pZSqVQds2QuN27cWJ3bdH53dzfz589nwYIFlEqlaj3J83R/sm3P9qdWmfHGcqI5mGozpZ3TmcZQJqXRkb6S0s5KhH/7+jdgNuGM9obM9rOBH8bnLwMeA4qZ/R2oxNcrSJ2tjnmHxzLzxiqTKX8acFt8Xon7LsmUceDlE/VPS0e2rx6t0R6b1mhrjfZ0bed0Np3GEJ3Rnvap4Q1QUppsItzCbwg4mXCBYhfhrPQdxHXZPH4x5BrCRYdvIKy/fnncfkgMcP857v9q4A87GmgD/0VY670/8FTg+8B34zYF2nXamYG2e/jD2NPT44VCwXt6eqoB1KJFi6rLCVpbW33RokVeKBR80aJFNZ/39PT40qVLq4FyU1NT9Xm6nqT+5JiLFi3y1tbWapmmpqZq4JcE6n19fd7X1zcqeB8vyE5k+wH4okWL6v6jX2tssvnpMWhtbR3VfjMbtV96XzPzcrlcfUz6Vavvk+1jMtbpcU33v6+vb5t90stHmpqa3MyqfUu3tZ7+ZMuMN5bTzUxp53Q2XcZQgfb0TxbmSWTmMLMy8F7C+uwDgDLwJ8IdP97v7lvNbDNwLnAQ4Q4fw8B/uPuHUvW8lXDGuZWwxvu/Cf+ApsvdN5vZCuAT7r5Pap/DCcFzm7vflS1jZh8nBNodhHXf3wP+2d3/ZGYV4GbgGe6+KVWnA69w9wvG6/eSJUt806ZN4xVpnHVzYN19O606M2Nn/G7aWfWIiExHZna1u+u/DU9jCrRllxQD7U+4+0ca3ZadRYG2iIikKdCe/nQxpIiIiIhIDhRoi4iIiIjkoKnRDRDJg7tXGt2G3Y2Z7bS6WlpadlpdIiIijaIz2iKy49bdt1Ov0t66dWujeyQiIrLDFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOmhrdABGZQuvmYP96f6NbMS21tLSwdevWRjdDRER2IQq0RXYz7t7oJkxLZtboJoiIyC5GS0dERERERHKgQFukTmZWMTM3syW1Xtex/2Yze3u+rRQREZHpQoG27BLM7NwY9GbTT3I87B+BhcDPczyG7Aa0bEVEZNekQFt2Jd8lBL7pdHxeB3P3x9z9Dnd/NK9jyO7lmGOOoVAoYGYUCgUOOeQQent7KRaLzJ07l1KphJnR3NzM3LlzMbNqOuSQQ8asd/Xq1TQ3N1f3Xb169bjtGBwcpLe3l0KhUN0v3a5CoUBvby+Dg4Pb7FMsFrfZVqvepC9mRkdHx5jlOzo6apZL11UsFqtl0q+bm5s55phjRtUxd+5cOjo6qn1L+rJ69ept+pzePjg4WLM9yX7ZftczHmONd7ZNSR21jjWZ40xHM739k7W79VcIF0YpKc30BJwLXDLOdgdOBf4HGAZuAk7OlHkW8DPgYeAaQpDuwOFxeyW+XjLG6xLwMeA24BHCGe8PpurfDLwb+G/gfuBW4B319vHQQw/1Hfbe2Ttexy4q/Dps3LGXLl3qgK9atcrvvfdeP/LIIx3wJUuW+KpVq7xQKHhra6t/7nOf8/b2dge8Uqn4li1b/IQTTnDADz744G3q7uvr86amJu/v7/fh4WHv7+/3pqYm7+vrq9mWgYEB7+rq8rVr13pXV5cfdthhDnhPT483NTX5UUcd5cVi0ZctW+ZdXV0+MDBQ3WdoaMhHRkZ8aGiouq1WvW1tbd7a2uoLFizw008/3RcuXOhtbW3blG9ra/P29nbfsGGDb9iwoVqur6+vWtesWbO8UCh4S0uLP+1pT3PAzcxPPfVUX758uQO+5557+oYNG/z000/3YrHoe+21l7e1tXl/f79XKhVftmyZNzU1+bJly7xSqfjy5cu9qanJly9f7pVKpdrmWbNmjWrPvvvu64VCwdeuXTuq30n7xhuPWuNSqVS8v7/fu7q6qm1K6l67du2o10NDQ97W1uZtbW11HWc6qud9syvJo7/AJp8Gf4OVxolPGt0AJaWdkeoMtG8FTgYOAM4ARoDFcfs+wBZgAOgBjgZ+OclA+59jcP08oBP4B+D1qTZsBu4G+mIbVsf9n11PHxVo56vRgbaZ+apVq6p5PT09fsIJJ7iZeblc9v7+fh8aGvKenp5q4Fsul6vlk2A7K9k3rb+/f9S+aT09PdXjDA0Neblc9lWrVlXr6enpqe6flEvKpiXbatVbqVR8aGho1HEqlco25ZNy6TorlcqoY5dKperYJGO4YMECL5fL3tPT4y0tLV4qlap19vf3e6lU8kqlUq0z6Vu63qSv6TaXSqVR7alUKt7e3j6q3Ul9E43HWOOdbVOyT7pN6eMn/ZjoONNRPe+bXUke/VWgPf1TwxugpLQzUgy0HwUeyKQPxe0OnJEq3wQ8mJzVBt4IbAX2TJV5zSQD7Y8B3wNsjDZuBgYzeb8D3j1Ov04FNgGbOjs7fYcp0B5TnMuGpnvvvbfankKh4Fu2bKluGx4e9pGRES8UCg74LbfcMiqwTsrW6tfw8PCovOHh4TE/WBQKhepxRkZGqu1K6ikUCtX9k3JJ2bRkW616zcxHRkZGHSepJ10+KZetM33s9NgkbTUzB6rbk76m225m1TqTOtL1Jn1NtznZnjCzbdqd1DfReIw13tk2Jfuk25Qdo3qOMx3V877ZleTRXwXa0z9pjbbsSn4APDWTPpzafm3yxMO66i3A/Jj1ZOB6d38oVf7KSR7/3HjM35rZJ83shWaW/Rm7NvP6tlQbtuHuZ7n7Endf0tbWNsnmyGQ16hcxhAsi16xZU21Ld3c3K1euxMwol8usX7+ejRs30t3dDcDxxx9PuVyull+5cmXNPiX7pq1fv37Uvmnd3d3V42zcuJFyucyaNWuq9XR3d1f3T8olZdPSbc3Wu3jxYjZu3DjqOJ2dnduUT8ql6+zs7Bx17FKpVB2bZAznz59PuVymu7ublpYWSqVStc7169dTKpVYvHhxtc6kb+l6k76m21wqlUa1Z/HixcyfP39Uu5P6JhqPscY726Zkn3SbEp2dndV+THSc6aie982uZHfrr0SNjvSVlHZGor6lIy/P5G0G3h6ffxS4PLP9iUzijHbMmwW8Avg0cBfhDHche7xU+cuAT9TTRy0dyRdao+3uWqOtNdpTR2u0tUZ7d0gNb4CS0s5IOyHQrrV05NWTDbQz9T8rbn9S9nipMgq0p4lGB9ru7kuXLq0uUTAzP/jgg72np6caZDc1NTng5XLZW1tbRy07qRVkJ/r6+rxcLlf3HSvITgwMDHhPT091fXjSnuTRzLynp2ebwDhpa3ZbrXqTvgC+aNGiMcsvWrSoZrl0XeklIunX5XLZly5dOqqO1tZWX7RoUbVvSV/6+vq26XN6e/KBItueZL9sv+sZj7HGO9umpI5ax5rMcaajmd7+ydrZ/VWgPf2ThXkSmdnM7FxgP+C1mU2PufuWGCS8wt0vSO2zmRDkfsTM9gFuBr4DfAB4AvCfQC8h0L7czCqxzDPcfVON128DbifcV/uvhIsdVwAL3f3B9PFSbbiMsGSlb6I+LlmyxDdt2jSJUalh3RxYd9+O1bGLMjMa9fuwkccWkZnLzK5297r+aZo0RlOjGyCyEx1FCHTT/gQsmmhHd3/AzF5MWPJxDfArYB1wAeF2f/X4C/AO4EDCGa9rgOPc/cE695fdlIJsEZFdkwJt2SW4+wrC2eOxtm/zr/fcvZJ5/RPgaclrMzuREDD/Pm7fDFiqfPb12cDZ47ShUiPv8LHKi4iIyMymQFskMrPXEf6RzR8JS0Y+CnzD3e9qaMNERERkRlKgLfK4BcC/Ev51+x3AN4HTGtqiHJhtc3JfgJaWlkY3QUREdjG6GFJkhtgpF0OKiMguQxdDTn/6hzUiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiIiIiI5UKAtIiIiIpIDBdoiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiIiIiI5UKAtIiIiIpIDBdoiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiIiIiI5UKAtIiIiIpIDBdoiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiIiIiI5UKAtIiIiIpIDBdoiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiIiIiI5UKAtIiIiIpIDBdoiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiIiIiI5UKAtIiIiIpIDBdoiMjnr5mBm0zK1trY2enRERESqmhrdABGZedy90U2oycwa3QQREZEqndEWEREREcmBAm2Z8czMzezl9b6eTszsXDO7pNHtEBERkZ1PgbZMazEQ9VS6y8wuMbMnp4otBL4xTjUTbReZFC1RERGReijQlpngu4RgeSGwFNgT+Fqy0d3vcPdHxtp5ou0i22twcJCOjo7qxZhz586lo6ODYrFIb28vxxxzDMVicdQFm3PnzmVwcJDBwUF6e3spFot0dHRU6ykUCpgZzc3NrF69elS53t5eVq9ePeqYHR0dDA4OVtu0evVqmpubMTOKxSJNTU3V+o455phRdSX7ZY+R5KfrStpTz5j09vZSKBRobm6mUCiMqnO8403U13TK1rt69epqX9Nl0q/T25Nxy87hRPnpMSmVSsydO3ebfow1JhOVmwl2pb7kQeMj23B3JaVpm4BzgUsyeS8CHNgzvnbg5antY74GKvH1y4BLgQeBXwFHZ47xQuAG4GHgB8BJcb9K3L4CeCCzz+GxzLz4ei4wCNwKPAT8Enj9RP0bKx166KE+Lbx3dqNbMKbwK21qjjMwMOBtbW2+cOFC37Bhg69Zs8aLxaLPmTPHzz//fF+2bJnH94O3tLT4KaecUv1mprm52dva2nxoaMjPP/98b29v97322ssLhYKvWrXKFy9e7MuXL/dCoeCzZs3yoaEhHxkZ8bVr13qhUPA5c+b4hg0bfMOGDb5w4UJva2vzgYEB7+vr86amJu/v7/dTTz3VC4WCFwoFP/XUU3358uUO+LJly3xkZMSHhoa8q6vL+/r6vKurq3qMJH/p0qXVuoaHh72/v9+bmpq8r69vzHEZGBjwrq4uX7t2rVcqFe/v76++7urq8oGBgWqZ7PGy7Uj6utdee3lzc7MXCgVvbm6ujp+Z+bJly6ptTca2paXFDz/88OrYm5k/+9nPrm6fPXu2n3766b5w4UKfNWuWz5o1y9vb20eNZ5KfzO2GDRu8vb3d99xzTy8UCt7f3+/nnHOOt7a2erFY9FWrVlX7MTAwUHNMsv3NlpsJdqW+5KER4wNs8mnwt1ppnDim0Q1QUhovZQNRYBbweeDaVN72BNq/AV4MHAicB9wN7BPLdAKPAP8BHAS8HPjDdgTa+wHvAJ4K7A+cCowAR47Vv/GSAu2JTWWg3dPT45VKxYeGhtzdvaenx/v7+71SqXhPT4+Xy2UvFApeLBarZfr7+71YLDrglUqlut/Q0JCXSiVfsGCBu7sPDQ15T0+PL1iwwEulUvW4SV6yb1I2fcz+/n539+rz/v5+L5fL3tPT46tWrfJyuTxq33K5XG1fOt/MqnUlkrrGkvQleUz3JXlMbxuvHen+l0ql6ti2t7d7pVLxBQsWVPcxMy8Wi97e3l49TktLiwNeLBa9XC77ggULqmOXHvNSqTTquOPlA9U5SupIj0ly7Fpjku1vttxMsCv1JQ+NGB8F2tM/NbwBSkrjpRiIPgo8EJPHoLc3VWZ7Au03prbvF/OeE1+fAfwasFSZd0020B6jP18CPpPp35iBdgzONwGbOjs7fVqY5oH2VKXkbPHIyIi7uxcKBR8eHnYz80KhMKpsUmZ4eHjU/sl+IyMj1bOv7u4jIyOj6kgkecm+6bLJtuHh4epYDA8PV49ZKBT83nvvHVVfctykfdn8pK5EUtdYkr6kxyX9Ojtm47WjUCi4mVXHID226W3Jvkkfk+Ok903GNjtv2flJt2Ws/GSOkjrSY5Icu9aYZPubLTcT7Ep9yUMjxkeB9vRPWqMtM8EPCGeFnwo8CxgCNphZxw7UeW3q+W3xcX58fDJwVfwllrhysgcws6KZrTWza83sbjN7AHgp4Yx5Xdz9LHdf4u5L2traJtuE3dJU/OIE6O7uprOzk40bN1Zfr1+/nsWLF9Pd3U25XKZQKFAsFqtl1q9fT7FYBKCzs7O638aNGymVSsyfH96CGzdupLu7mwULFlAqlap9S/KSfZOynZ2d1WOuX78eoPp8/fr1lMtluru7WbNmDeVyedS+5XK52r50vplV60okdY0l6UvymO5L8pjeNl47uru7mT9/PqVSiVKpVB3b+fPn09nZyfz586v7JOvR58+fXz3OvvvuC0CxWKRcLjN//vzq2KXHvFQqjTruePlAdY6SOtJjkhy71phk+5stNxPsSn3Jg8ZHamp0pK+kNF6i9hrtIuHs9r/F19tzRntJps50mYuA8zLbj2T0Ge1/BIYzZY5m9NKR04CtwGsJHxIOAL4CXDZe/8ZKWjoyMbRGW2u0tUY7N7tSX/KgNdpKtVLDG6CkNF4aI9AuAPcD/fH1zg60zwB+ldm+JhNoHxdfz06VeUcm0P5GOmAHDPi5Au38TGWg7R7+sC5atKga1LW2tvqiRYu8UCh4T0+PL126dJtlJK2trdWAs6enxwuFgi9atKhaT7LEoVwue19f36hyPT093tfXN+qYixYtGvWHvK+vz8vlcnWZRLImvFwu+9KlS0fVleyXPUaSn64rac9EkrrMzMvlspvZqDrHO95EfU2nbL19fX3VvqbLpF+ntyfjlp3DifLTY9LU1OStra3b9GOsMZmo3EywK/UlD1M9Pgq0p3+yME8i05OZnUtYQ/3amNUC9AGrgBe4+2Xxj+kr3P2CuM+Yr82sAtwMPMPdN6WOky6zGPgt8HHgbKCHcGHkYkKgfYuZtRLWip8H/Cfwd8BHCIF8m7vfZWb9wKsIdyy5C1gNnAxc4+6Hp/o3z91fNNFYLFmyxDdt2jRRsfytmwPr7mt0K2oyM6bid9pUHUdEZDxmdrW7L2l0O2RsWqMtM8FRwO0xXQk8gxAUX5bHwdz9FsLt/04AfgH8P+Bf4+aHY5mtwHLCcpHrCBct/kumqvcDPwW+TVhnPgx8MY82y9RSkC0iIvXQGW2ROpjZ/wHeB7S4+98a0Qad0Z6YzjSLyO5EZ7Snv6ZGN0BkOjKztwBXAVuAvyecrT63UUG2iIiIzDwKtEVqO4Bw7+y5hP/suJ5wRlsIZ46no5aWlkY3QUREpEpLR0RmiGmzdERERKYFLR2Z/nQxpIiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA4UaIuIiIiI5ECBtoiIiIhIDhRoi4iIiIjkQIG2iIiIiEgOFGiLiIiIiORAgbaIiIiISA7M3RvdBhGpg5ltAW7ZydXOAe5rQB317jNRufG2j7WtVn42bx5wVx3ty8POmJPtraeefXakzI7MCcz8edkVf1agcfMy3X9W6im3oz8ri929rY52SKO4u5KS0m6agLMaUUe9+0xUbrztY22rlZ/NAzbN5DnJc152pMyOzMmuMC+74s9KI+dluv+s7Mi8TDZfafomLR0R2b19o0F11LvPROXG2z7Wtlr5O2Mcdpad1Za85mVHyszUOQH9rNR7nKk03X9W6im3M35WZBrT0hERkQwz2+TuSxrdDhlN8zI9aV5ExqYz2iIi2zqr0Q2QmjQv05PmRWQMOqMtIiIiIpIDndEWEREREcmBAm0RERERkRwo0BYRERERyYECbRGRSTCz/c3ss2Z2QaPbsrszs73N7DwzO9vMlje6PaKfD5EsBdoistsws3PM7E4zuz6Tf6yZ3WBmN5rZ6ePV4e43ufvKfFu6+5rkHL0UuMDd3wCcMOWN3U1MZk708yEymgJtEdmdnAscm84wsyLwSeA44CnAq83sKWZ2sJldkknzp77Ju51zqXOOgEXAH2Oxx6awjbubc6l/TmQXZGZrzWwkpm/X2D7LzP4Qtz9gZs+J+S81s7+Y2WPxw9oLUuU3m9lDMT1oZh+d6n5NBQXaIrLbcPcfAFsz2c8Eboxn4kaALwEnuvt17v6iTLpzyhu9m5nMHAG3EoJt0N+z3ExyTmQXY2YlYB1wNNACHG5mL84UOxv4i7vvAXwWGIj5twMnA28Bvgt8PubvQfiZ7XT3PYGHgM359aJx9ItJRHZ3+/H4WVEIwdt+YxU2s7lmth54mpmtybtxAow9R18FXmZmn0b/mnqq1ZwT/XzsklYA97n75e4+DFxOCJzTjgKSM9LvBBaZmbn7j93968DDhA9rzWZWBvYHfuvuW8zswLjfk/LuSCM0NboBIiINZjXyxvxPXu5+N/Cm/JojNdSco/hH//VT3RgBxp4T/Xzseg4C7kq93gz8Q6bMPsA1AO7+iJk9BhwI/DZV5onANXH7jcCTzawCLAfuBjryaHyjKdAWkd3drYz+Bb8IuK1BbZHaNEfTj+Zk9zGpkxEpf0s9fwIhOH86gLvfY2argC8DBwMXEoL1XY6WjojI7u4q4EAz6zKzPYCTgIsb3CYZTXM0/WhOdh+/AealXlcIa6/THgCeBhCXhhSB38fXi4C3Ape6+++THdz9G8CphA9tVwC/y6f5jaVAW0R2G2Y2CPwYOMjMbjWzle7+KNAHfAf4NfAVd/9lI9u5O9McTT+ak93e+cAcM3uume0NPB/4VKbM94D/G5+fCfzJ3d3M9gW+CfwPcEd6h3gXp1cDXwPeDHwmvy40jrnXc/ZfRERERHZHZvYe4N2EZSTfd/elZnY5cIW7v9vM5gDXAwuAEeCF7n65mb0beB9hGYkRbsP5AnffGD/AvQz4A/Bud//S1Pcsfwq0RURERERyoKUjIiIiIiI5UKAtIiIiIpIDBdoiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiIiIiI5UKAtIiIiIpIDBdoiIiIiIjlQoC0iIiIikgMF2iIiIiIiOVCgLSIiIiKSAwXaIiLjMLOKmbmZrcuh7nWx7koqb0XMOzyH4+XWF6lfnINzG92OvO0u/RQZjwJtEZlRzKzFzB6Of8RPbnR7ppsYTK8zs6c2ui0iIru7pkY3QERkkpYDewA3AyuBL+R8vFuAPYFHc6j7/cAHgUd2Yp0V4L3AZuDnmW159kUka0/gsUY3QqSRdEZbRGaalcD3gY8CzzezJ+Z5MA8edvedHpy6+6Oxbt/ZdY9xvNz6MlOZ2axGt6ERpqLf8b3217yPIzKdKdAWkRnDzJ4OPBU4D/gi8Ffg9WOUfaGZXW5md5nZQ2b2BzP7qpk9KVWmw8zOMbNbzOwRM7vTzH5kZq9LldlmXXM6z8xeaWY/j8e40cxeH8t0mtkFZrbVzP5iZl/IBje11miP0ZdZZvZ+M7sy9ueReKwPmtleqXIrCB9CAD4X63Yzu2ysvsT8JjM7zcx+FZfl3G1mXzOzgzPl0v1+kZldFcvfbmYfNrO6viWtZ25iuXYz+5iZ3ZSan0vN7OhMuefF/PtifT8zs5U1jnuZmW02s/2TuQHuT203M1tlZleb2YNx3r5vZkfUqOsfzeynZnavmQ3HNn7RzNrqGYNYx1Fm9pN4rDvM7L/MbO/U9rfF8T6qxr7l+N763gTHSM/Zq2LfHgI+niqz0Mw+HedhxMxuM7OzzGx+jfoOMbMNsc93m9l5ZjbPaqzHrpUX80+Jc/RQnLMNZvacGuXczM41s2fH98twfM98xsz2Ga/fItOFlo6IyEyyEhgGLnT3YTP7JvA6M3uPu/8tKWRmzwcuBq4DzgDuBZ4AHAUcAPw2BoWXAvsBnwJ+C8wBDgGeSwjmJ/Ii4E1x/62xfeeY2QjwAWAIeBfwDOCfgIeBU7aj3/vF/S4EBghLP54PvBN4GnBMLPeDeNx3AWcBV8T8P09Q/xeBVxLG49NAO/AW4Mdm9lx3vyZT/njgzcB64BzgRODtwD3x+GOqZ25iuQrwQ2ABcD6wCdgb+PtY9tJY7sXA14A7gH7gL8BJwGfMbH93X5tpwj7A5bHutUA6mPw88GrgAuBzQJmwVOlSM3upu18cj3ky4f1xBfAe4CGgEzgu1rdlvDGIng68HDg79u8I4K1Ar5kdHd/P5xHGcyXw3cz+LwFagM/WcSyAZbH+TxPm7f7Yl07gx4TlWJ8Ffk+Yh1XAEWa2xN3vi2UPjH0uAB8D/kR4L3y7zjZgZh8ivG9/SnifzgJOBb5vZie6+7cyuzwVuIQwHwPA4YTx+FvcT2R6c3clJSWlaZ+AZkIwe24q70TAgeMyZf8j5s8fp75DYpl3ToOoVnsAACAASURBVHDcSiy3rkbeMLA4ld9GCKb/BrwtU89XgRFgn1TeulhPJZW3IuYdnsrbAyjVaNu/xbLPTOUdHvNW1NmXo2PelwHLjM+jwBVj9DvdZgOuB26vYx4nnJtY7lux3DE1thXiY5Gw7vxe4AmZ8fohYX3wgan8y2Kd769R50vitlMz+U2EIP/mZHziXN4PNG3ne9ljWpbJ/6+Yf1IqbyC+p1ozZS8l/Dw01/n+/SvQXWP714E7gUWZ/CVx/tPvla/Eug7LlP1yzD+3Rj/TP68HEX42NgJ7pPKfEOdwM1DM7P834O8z9X4z9mef8fqupDQdkpaOiMhM8VLCGbz0meZvEoKEf8qUvS8+vmyc5QxJmSNqfUVep4vc/ZbkhbtvAW4gBAefzJS9AigRAp9JcfcRj2tdLSzzaDGzeTx+lvNZ29H2xEvi47+7e3WtuLtfSziT+JwayyEucvfNqbJOWLLSXsdX+hPOjZm1AscC/+vu38lu98e/vTiUcCb5HHe/LbV9BPgw4czriTUO8ZEaeScTzoZfFJdCzItjvC/wDcK8HZjqw17AC83MxunreG5w94syeR+Mjy9J5Z3F42fWgerZ/iOBL7r7w3Ue75vu/ut0hpnNIXwrczHwcKbfm4EbgaWxbJFw9vqn7v7DTN39dbbhRMKHsjPjHAEQ5+5cYDHhG5q0H7v7TzJ5Q4QPQJU6jyvSMAq0RWSmWEn4Sv5WMzvAzA4g/KG9FDghBgeJTwDXEJd0mNm3zOyt6YAxBsj/Tggkbo9rV880s2dMok031ci7h3BmN3snkXvi49xJ1F9lZm82s2sJdyjZShiLy+Lmlu2pM+oifDD4dY1t16fKpNXq993xcaL+TTg3hKULFsuNJ2nXL2tsS9q+fyZ/i7vfW6N8N2EZw58JY5tO62KZBfHxA4Qz6RcBW8zswrjueDIXGG4z3u5+O+HM7v6pvMsIy2nSa85fTxifz0zieL+tkXcQIQ5Ifray6SAe73MbYenODTXqqZVXy/bM146810QaTmu0RWTaM7MuwhpWo3bAAOGM5EcB3P3uGDA/l7A04nnAfwL/ambHu/uPY7l3m9k5wAtj2VOAd5jZme5+Wh1NG+vWZePd0mzSZ0DN7G2Es4YbCGtjbyMsQ9mPcCZwR06abM8Z2e3uX51zk9Qx0d1YtqftD45T1xbgNePsez2Au//OzJ5COKt8JGG9/NmEPjzP3X9fRzvG6lutPp0NfNjMDiV8+FgBbHL3X9RxnEStfifH+gJjX5Pw0DjtStR715wpfa+JTAcKtEVkJkjO4L2BcMYv6/2Es3IfTTLc/THCGd/LINwtAbgaeDchsE7K3US4A8PHzawZ+A7wTjPrd/c7c+jL9ngt4av843z0RZ/H1ig72VsF/p5wMWU3cG1m21Pi482TrHNcdczN7wj9yC4jyEoC2p4a25K21zojWsvvgCcBP3H3ByYqHL+x+FZMmNnxhKVMbyNcSDqRp2QzzGwh4YLcbJvPJXz7spKwprqTcCHpjrqRMM57uHv2YsusOwlr8w+qse3JdR4vPV/ZDyOTnS+RGUFLR0RkWjOzAuEM3nXu/hl3vyCbgEHC3RqeEfeZV6Oq3xDOzrXGMnPMrJQuENe7Jl/p78hyjJ3tMUJAVD2DF9c3n16jbBIkttZZd7JOeE16vbGZ9QInABvj2vOdop65cfethDtZHGe1b22XtPNnwB+A15tZe2p7CXgHYcy+XmfTzif8TawZwJrZgtTzWn34WXysd9wPMrNlmbzkW5RRa7fd/a6Y9xqgj3B2eqDO44zJ3e8mfFB4qZn9fXa7BW2x7GOEOXmmmR2WKfrPdR7yYsKcvCP9sxc/YLyesBxnouVCIjOKzmiLyHS3FOhg/NuYXUhYR7sSuAo428wWEZZaJP8N8VWENbjnx32OAM4yswsJa0wfIFxcdwpwpbvXu+50KlxACAC/bWZfBWYTgq5a/wzkV4SL+t5sZg8SvgG4092HalXs7pea2VcIt8RrMbNLePz2fg8Tbgm3M9UzNxACyh8R+nwe4Yz3noQLPzcDp7n7Y2bWR7i931Vmdhah768i3AbwA+7+u3oa5e4XmNnngD4L92u/BLgLWAQ8m7BuPFk/vMHM7iPcTvGPhAsmVxCCyM/XOQ7XAV8ws7MJZ9OPINzu73LCXTyyziLcgvFFwHnufn+NMttjFeEuID8ws/MJgW6B0NcTCXOyLpZ9N+Hbj/81s08AtxK+gUjW14/7bYq732BmHybc3u8HZvZlHr+93z7A8hjQi+wyFGiLyHSXXAT21bEKuPv1ZvZb4CQz+3+EYGcF8DpCEHA/IQB9ubtfGHf7RazzcMIdHYqEs6MfoP67KEyVDxPOZq8k3ALuDkIw9jlCv6rc/SEzO4mwnOajhDtWXE64U8NYlhPOyK4g9H047vMv7n7dzuwI9c0N7n6zmS0B/oVwt4t/JFxQ+gtC0JmU+4aZHUkIAt9BuLXfr4E3uPtkLhbE3f/JzL5PCPzWxLruIIzNmlTRTxOC3jcSzmDfTQhQV7v796nPzwjLTP6dcC/2+wkXir4rvTwoZYiw1OMA6r939oTc/Y9x7fdphMD6ZMIHrD8S7rbylVTZG8zseYS7tvyfWO4Swoeym3h8Pfd4xzvNzG4k3If9g4RrDa4EXuPuV4y7s8gMlNwTVERERKYxM/sl4T7T9a6JnhIxUN8ErHH3D05UXmR3ojXaIiIi05yZvYBwweBZE5XNuR17Zl4bYSkIxP/WKSKP0xltERGRaSoG2E8kLF3ZB3iiu/+lge25gbCM5TrCfbVfTLhV45fd/aRGtUtkulKgLSIiMk2Z2WXAcwjr2N/S6HXMZnYmIbjuIFzndTPwReBDyX8vFZHHKdAWEREREcmB7joiMkPMmzfPK5VKo5shIiLTxNVXX32Xu7dNXFIaRYG2yAxRqVTYtGlTo5shIiLThJnd0ug2yPh01xERERERkRwo0BYRERERyYECbRERERGRHCjQFhERERHJgQJtEREREZEcKNAWEREREcmBAm0RERERkRwo0BYRERERyYECbRERERGRHCjQFtmdrJuDmc2I1Nra2ujREhER2SEKtEV2M+4+I9I999zT6KESERHAzI41sxvM7EYzO73G9rKZfTluv9LMKjH/mWb285h+YWYvSe2z2cyui9s2TV1vplZToxsgIiIiItOTmRWBTwJHA7cCV5nZxe7+q1SxlcA97n6AmZ0EfAh4FXA9sMTdHzWzhcAvzOwb7v5o3O8Id79r6noz9XRGW0RERETG8kzgRne/yd1HgC8BJ2bKnAicF59fABxpZubuD6aC6mbAp6TF04gCbREREREZy37AH1Ovb415NcvEwPo+YC6AmT3LzH4JXAe8KRV4O7DBzK42s1NzbH9DaemIiEhkZrjvdidcRETGYzXysr8oxyzj7lcCPWbWDZxnZt9294eBw9z9NjObD1xqZr9x9x/s1JZPAzqjLbs9M3uTmQ2b2R6pvD3M7EEzuy5T9kAzczN7wU447mYze/uO1iMiIpKjW4GO1OtFwG1jlTGzJmAOsDVdwN1/DQwDvfH1bfHxTuBrhCUquxwF2iIwBOzF6B/yZxG++nqSmbWl8g8HHgF+NGWtk4YYHBxkn332GXXLwUKhMOqxVCpVt5VKJQqFAr29vQwODjI4OEhvby+FQoHm5ubqttWrVzN37txR9c6dO5fBwcFtjt/b20uxWKzWOV5b02VXr15dfd3R0UFHR0fNeiZzjLGOmfTPzKr9zL5O2pAdi4n6lB2nbCoUChxyyCHb9CHdr46OjlH1dHR0VMenUCiMmsO5c+eOOVb1jEWe413PsXdWnTvbTGjjVJmhY3EVcKCZdcUTUicBF2fKXAy8Lj5/OTDk7h73aQIws8XAQcBmM9vbzGbF/L2BpYQLJ3c9jb6Fl5LSdEjAn4B/Sb1+D/B54IfAK1L5A8D34/M9CFdW30r4lH4VcEyqbAn4GOGT/yOE9WsfjNsuI3ytVk0TtfHQQw/1Hfbe2TtexxSJY9KQYw4MDHhzc7MDfuqpp/rxxx9fnafm5mY/6qijHPByueyzZ8/22bNne2trq7e1tfnatWu9ra2t+rxSqXh/f793dXX5smXL3Mwc8JaWFj/jjDO8tbXVzcxnz57tAwMD1eN3dXX50NCQj4yM+NDQkHd1/f/27j08kqu88/j3re52Cc9FI81IagVdesA4tHvGXKwlwbMBY5wZSIgzm3CJd5YEMIEVq0lYIMSKsjBhHzaXx73ZEBKEQ7ARQcqSCyQhsBmWxklEuGS4G5Jwi7k5CwNmjEdgCzzv/tFV5epWty4zKrU0+n2e5zzqOnXqnLfOkTSvyqfb+5Pzac1tp6amPJ/P+9TUlM/MzHixWPTBwUGfmZlp6GctY7QbM76/Y8eOeT6f90OHDnkul/NDhw55Pp/3Y8eO+b59+7y7u9v37NnjfX19Xq1WvVQq+dTU1LL3tGvXLs/lcn711Vd7888K4Dt37vRKpeKAj42NJfcQz32tVvOZmRnfs2ePB0HgN910k588eTI5Pnr0qO/bt897e3u9WCz69ddf70EQ+J49e5bM1WrmIh5vcHDQi8Xius73asZerz7X21aIcaNkMRfAKd+YfyN/DPgM8HlgKqp7FXB99LoL+BPgc8CHgIdF9c8GPgV8DPgIcDSqfxjw8ah8Ku7zYiwdD0BFZTMU4I+o/wUeH7+X+scVvRr4/VT9XcArotdvAT4APCH6pTEBLAKPis6/NEqunwCMAFcDz43O9Ubnfg0oAsWVYlSivXFjxgnc+Pi4u7uHYejj4+MeBIEDXqlUvKenxwuFgpdKJS+VSl6r1bxUKnmlUknqKpWK12o1d3ev1WoehqHncjnP5XIN9cVi0QuFglcqlWT8+HysVqsl59Oa21YqFa9Wq16pVJJz6Wvj12sZo92Y6a/VatXDMGz4mp6LuKTHWe6eCoVC0lexWPRqteqAB0Hg1WrVC4WCh2Ho119/vdc/3KAuPU48fhxLfH5gYMDDMEzWLV6b+I+A5rlazVykX6/3fK9m7PXqc71thRg3ShZzsVGJtsr5F6uvk8j2ZmY3Aq8F9lB/U8e3qO8jezjwO+5eNrNHAv8E/Ajwb8BngZK7fynVz9uBu9z9RWb2GqACXOctftDM7E7gte5+8zJxvQB4AcDIyMhVX/ziFy/sRk90w4l7LqyPDWLW6r012XN3crkc586d48yZM3R31/9vmmfOnGHPnj0ABEF91925c+cIggB35/777ycMwyRud8fMuO+++ygUCnzve9/jkkuStwGwuLiY1Hd1dSV9PfDAA+RyueS6WNzugQceaIi3uW0ul+Pee+9l165dANx3330AybVxP/G51YzRLB6zq6sr+XrvvfeyY8cOFhYWkq9xDPG3v5k1xBBf2+qezp07l/QVBEHSP5DUA5w+fZq+vr5kjHhbTzyP7s7Zs2fZtWtXQ527EwRBMj+XXHIJCwsLyXahdJzLzUd6/uPX6z3fqxl7vfpcb1shxo2SxVyY2YfdfWy9YpT1pz3aInXvpf6fvh4flW+4++epbx15uJkVgScB3wE+CDyWekL+aTM7Gxfgx6kn5wC3AY8GPmNmv2dmP25ma/qZc/db3H3M3cf6+vpWvuAis9FPHmLlchmAyclJAMIwZHJyMkmwy+Uy3d3dFAoFRkZGGB0dZX5+ntHRUcrlclJXLpeZn58HYH5+njAMyeVy5HK5hvr+/n4KhUIybvq62Pz8fHI+rbltuVxmenqacrmcnEtfG79eyxjtxkx/nZ6eJgzDhq/puRgdHWVkZKRhnOXuqVAoJH319/czPT0N1BPp6elpCoUCYRhy4403NvxRlh6nXC4zOjqaxAIwMjJCf38/YRgyMjKSzE8cc7xuq52P9DxmNd+rGXu9+lxvWyHGjaK52KY6/UhdRWWzFOBO4AT17RxvTtW/n/qbP/438DdR3bOAc0AZuKypPDR17S7gGcDrgG8A7wGC1HgvW2182jqycWNqj/bytEe79fxrj/ZSWyHGjbKV92irXEBu0ekAVFQ2SwFuBf4W+DvgxlT9rwO3AF8Dfjmquzz6B/9Ja+j/h6JrLo+OPxP3t5qiRHtjx5ydnfUdO3Y0JHdxkhx/zefzybl8Pu9m5pVKJUmsKpWKm5mHYZicm5iY8N7e3oZ+e3t7l/xjG18fBEHSZzvNbScmJpLjoaEhHxoaatnPWsZoN2Z8f/EfHq2O4xia52Kle2qep+ZiZn7w4MEl95C+r6GhoYZ+hoaGkvkxs4Y17O3tbTtXq5mLLOd7NWOvV5/rbSvEuFHWey6UaG/+oj3aIhEz+1ngD6LDK7y+dQQzewrwVupPp3/I3T8U1f8R9f3aL6X+bupe6h//9wV3/3Mzewn1vdwfA74HHAeeAwy6+3fM7CT1N0++ELjf3b+xXHxjY2N+6tSpC7vJLbZHe6N/P+l/WCMiW4n2aG9++j9DijzovdQ/su8rcZIdmQceAnwb+HCq/rnAFPBb1D/A/27qH2v03uj8vcAvAY+g/sTso8BT3f070flXAK+n/nFJIa3/z1qygZRki4jIelKiLRJx9y/TItl197PUPxO7uf571Pd0n2jT3x/w4BPyVuc/ADzq/KIVERGRzU6fOiIiIiIikgEl2iIiIiIiGdDWEZFtplP/I5i16unp6XQIIiIiF0SJtsh2cuIe/ESngxAREdketHVERERERCQDSrRFRERERDKgRFtEREREJANKtEVEREREMqBEW0REREQkA0q0RUREREQyoERbRERERCQDSrRFRERERDKgRFtEREREJANKtEVEREREMqBEW0REREQkA0q0RUREREQyoERbRERERCQDSrRFRERERDKgRFtEREREJANKtEVEREREMqBEW0REREQkA0q0RUREREQyoERbRERERCQDSrRFRERERDKgRFtkuznRjZl1pPT29nb67kVERDZMvtMBiMjGc/eOjGtmHRlXRESkE/REW0REREQkA0q0RUREREQyoERbZAOZ2Z1m9rJOxyEiIiLZU6It246Z9ZnZ70dJ7/1m9jUze4+Z/eg6jvEcMzu7Xv3J2mgvuIiIbAZKtGU7+jPgccCNwOXA04B3AXs7GZSsv+PHj9PV1YWZ0dXVxfHjx5mbm+PAgQPkcjkOHDjA8ePHOXDgAGZGEATLtp2bm1vS55VXXkmhUEg+WWXnzp3s3bu37Sev7N27l7m5uSTG9BjDw8MMDw83jHc+jhw5ktxLEAQcOXJkxWta3Wu7uUzPUxAEq4q11X0GQdAwl0EQJOfS48Rfm8dJx5TL5cjn8w3tm8vw8HDLOC9kDY4fP96w/mZGoVBY1by0mvOV1kFEthh3V1HZNgXYAzhw3TJteoA3Ad8Cvgv8X6CSOv8c4GzTNddE/e5LvU6XE1G7O4FfBV4PfBv4CvBLq4n9qquu8nXxyt3r0895qP/K2ZhxJiYmPJ/Pe7Va9YWFBa9Wqx4Ege/evdtrtZovLi761NSU5/N5Hxsb83w+7+Pj414qlfzYsWMeBIHv2rUraVur1Xz37t0eBEHS56FDhxzwMAz9ne98p99www3Jmnd1dfkll1ySHD/kIQ/xSy+9NOl3dnbWZ2dnff/+/V6r1XxmZsaLxaIPDg76zMyM12o1379/v8/Ozq7p3g8fPuyAj4+P+5kzZ3x8fNwBP3z4cNtr0nHE95oeO57LY8eOealU8uuuu84BP3TokJdKJZ+amlo21ub7HBwc9O7ubt+3b58fO3Ys6Xvfvn3e3d2dzNOTn/xkz+Vy/uQnP9nz+bwfPXo0GSe9vi984Qs9CAIHfMeOHV6pVBzwXC7nZubXXnut53I5v/TSS72vr68hzgtZg4mJCQ+CwHfs2OEDAwN+7bXXJt8PfX19y85Lqznv6+vzvr6+tusg0gw45Zvg31aVZfKOTgegorKRhfpHWt4LvAboatPmL4B/Bp4AHAT+Evgy8JDo/EqJ9iXALwILQDEqO6N2dwLfBCaAy4Dj0XWPXyl2JdprGycMQ69Wqw31xWLRC4VCclypVLxarbqZJW1rtZpXKhUfGBhoaOvuXigUvFgsJsdhGPrOnTuTdpVKxXt6ehzwQqHghULBe3p6vFgseqlU8lKplPRbqVS8Uql4rVZLrq3Vasn46VjWwsx8fHy8oW58fNzNrO016Thi6bHjuYzbVSoVHx8f9zAMk+PlYm11n/F8xGtQqVSSunie0+eq1WrDeOn1jV/HcxuvC9BwfaFQSMZcLrbVrkEYhj4wMOClUqlhXtLjtLu+1ZzH999uHUSaKdHe/KXjAaiobHQBfhq4G7gPeD9wM/BD0blHRInvE1Ltu4F7gOdHx8sm2u3aRPV3AnNNdZ8FfrVNrC8ATgGnRkZGfF10ONHeyLKwsNAwfvzUM328sLDQ0HZxcTFp1/yHAeBBELS8n3T/zSUIAg+CwM1sSd3i4mJy7eLiYjJ+Opa1zvGZM2ca6s6cObPsHznpOGLpseP5idsFQZD0GR8vF2ur+4znI16D5jmKj+Nz8Tql1ydes/h1en7T3wPp6+N+l4tttWuQXsvmeYnvrd31reY8vqbdOog0U6K9+Yv2aMu24+5/BvwA8BPU92ZfDXzAzH4FKAPnqCfgcft7gE8CV6xTCJ9oOr4L6G8T6y3uPubuY319fes0fGdtxC82gDAMmZ6ebhi7v7+fQqGQHJfLZaanpzGzpO38/DzlcpmBgYGGtgCFQoH+/geXKgxDdu7cmbQrl8v09PQkbQuFAj09PfT39zMyMsLo6GjSb7lcplwuMz8/n1w7Pz+fjJ+OZS3MjMnJyYa6ycnJZd8gmo4jlh47nsu4XblcZnJykjAMk+PlYm11n/F8xGtQLpeTunie0+emp6cbxkuvb/w6Xt94XYCG6wuFAiMjIw1xXsgahGHIwMAAIyMjDfNSKBSSe2t3fas5Hx0dZWRkpO06iMgW1OlMX0VlMxTgDcAi8JPAA0Ch6fw8UI1e/yyw0HT+R1n9E+2XNdXdDrx2pRi1dWRt42iPtvZoa4+2XOzQE+1NXzoegIrKZijAS6g/yX4US7eO7Ka+deTG6PipUZvdqTa/1JRo/0fguy3GUaK9geNMTEx4GIZJ8jMxMeGzs7NeqVQ8CAKvVCo+MTGRJGbx1oN2beMEL93nwYMHPZ/PJwn1jh07vLe3t+12lt7e3iWJXjzG0NCQDw0NNYx3Pg4fPpzci5ktm2S3iqPV2On7Ts+Tma0q1lb3aWYNc2lmybn0OPHX5nHSMQVB4LlcrqF9cxkaGmqb9J7vGsQJf3qcfD6/qnlpNecrrYNImhLtzV+svk4i24OZ7QX+BHgj9S0c9wJjwO8Cn3T3HzWztwM/SH1/9Bng1cBjgMvd/btm1gt8ifonk/w29eT8ZqAE9Ln7N8zsauB9wGHgo8B33P07ZnYn9aT65lRMtwN3uPvEcrGPjY35qVOnLnwSTnTDiXsuvJ/zYGZsxO+cjRpHRKSTzOzD7j7W6TikPe3Rlu3mLPAB6p8K8rfAp4D/AcwCz4raPBf4EPVPG/kQcCnwFHf/LoC73w0co75d5JPUE/L/lh7E3f8BmAbmgNPAy7O8KREREdl89ERbZIvQE20REUnTE+3NT0+0RUREREQyoERbRERERCQD+U4HICIbb7nPVM5S/BnTIiIi24ESbZHt5sQ9+IlOByEiInLx09YREREREZEMKNEWEREREcmAEm0RERERkQwo0RYRERERyYASbRERERGRDCjRFhERERHJgBJtEREREZEMKNEWEREREcmAEm0RERERkQwo0RYRERERyYASbRERERGRDCjRFhERERHJgBJtEREREZEMKNEWEREREcmAEm0RERERkQwo0RYRERERyYASbRERERGRDCjRFhERERHJgBJtEREREZEMKNEWEREREcmAEm0RERERkQwo0RaRzjnRjZmtW+nt7e30HYmIiCTynQ5ARLY3d1+3vsxs3foSERG5UHqiLSIiIiKSASXaIiIiIiIZUKIt246ZnTCzOzodh2xe2oIiIiLrQYm2dJSZ3WZmbma/2lR/TVS/7wL7dzN7+oVFmY3NHJuIiIhcOCXashncB7zczPrWq0Mzu2S9+pLt6cCBA+RyOQ4cOMCRI0fo6upq+ISTIAgIgoC9e/dSKBQwM7q6ujh+/Dhzc3PJ9cPDwwwPDy95feDAAY4fP87w8HDS5/DwMHNzc0tiSfcXX5c+XumalcYtFAoEQdC2rwuJ5corr2yYtyuvvHJJH3Nzcxw/fjyZ40KhwN69e5eM0fwpM11dXUvGS/cTr0e7+jiOIAjo6upqOQdzc3MNc5XP51dcr+XmK27fLs7NrN29yIM0R7KEu6uodKwAtwHvBD4BvCZVfw3gwL7o+AnAB6kn5V8Dfhu4JNX+duB1wM3AaeAfgTujPuJyZ9T2BHAH8DPA54F7gbfHY6X6fC7w6WjMzwD/FQhS518Sxb0AfBV4A7Andb4beDPw9aiPLwAvjs61jG25ctVVV/lF55W717W7+q+0CzM7O+uA12o1X1xc9KNHjzrgl19+uQdB4I997GMd8Eqlkqxfb2+v33rrrV6tVj0IAt+1a5fXajWfmZnxwcFBLxaLPj4+7sVi0QcHB31mZsanpqY8CALfs2ePnzx50k+ePOnFYtH7+vp8dna2IZ79+/cn8UxNTXk+n/epqSlfXFz0Wq3m+/fvb3tNOob0uN3d3X7TTTd5sVj03t5e37dvn09NTS3pq3lu1hLLwYMHHfDrr7/eT58+7ddff70DXigUkj5qtZrv3r3bgyDwarXqt956q/f29noQBD4+Pp6M0dfX54CHYej9/f3+6Ec/OukrHm9iYsLz+bxXq1VfWFjwarXq+XzeDx48uKQ+XqepqSkvlUperVZ9//79DXMwOzvrfX19Pjg46DfddFMS5549e3xycrLlei03X/H8HD58uGWcExMTF/z9m5V2O9WhEwAAFdBJREFU99Lu3rejTswRcMo3wb/lKsvkOZ0OQGV7lyjRfgfwY8Ai8PCoPkm0gYdGyew0UAaeBvw/oJrq5/YoYa4Cj4za9UV9PB8oAn1R2xPAWeBtwJXA44EvAq9P9ffzwL8BTwf2Az8RjTmRavNi4FqgBDwxSrrfnDr/u8DHgMdFba4BnhGdaxnbckWJ9srWI9GOE+hYGIY+Pj7uZubVatUrlYqPj497GIaey+U8l8t5rVbzSqXi7u4DAwNeKBSSvmq1mtdqNQ/DMHldqVS8Uql4sVj0UqmUjFWr1bxUKiV9pftIH8dxpK9rd006hnjcgYGBZJz4XPo43Vfz3KwlljjJTtu1a9eSdSoUCl4sFhvGqFarHoZhMgbgO3fubLiXOHGPxwvD0KvVakPf8bXN9fE6pe8p7jc9V6VSKTmOE/L0XDWv13LzFY8Rfy81xxmGYct+NoN299Lu3rejTsyREu3NXzoegMr2LnGiHb1+L/DH0et0ov1q4HNNT5OfA9wPXBod3w58okX/Djy9qe4E9SfM3am6KeBzqeMvAc9uuu7FwKeXuZenRDEF0fFfArcu035JbC3avAA4BZwaGRnxi04GifZ6lXSfZ86cccAXFhY8CILkOC6Li4seBIG7u5tZcn0QBL64uOiLi4tJu7htXMwsGWtxcdHNLOkr3Uf6OI4jfV27a9IxxGMCyevmc819pa01FsBPnz69pI/mRDuOJz3GwsJCUh+/NrOGeE+fPt1wbbxGafG1zfXxOqXvKe63eY3SxwsLC8katVqv5eYrHmO5ODerdvfS7t63o07MkRLtzV+0R1s2k5cDzzCzsab6MvB+dz+XqpsHLgEuS9V9eA1jfdHd70kd3wX0A0R7xYeB15vZ2bgAvwE8PL7AzK41s3eb2VfM7F7gz6OYilGT1wHPNLOPm9nNZvbENcQHgLvf4u5j7j7W17duW9gvahf6S7FSqTT0F4Yhk5OTmBnT09OUy2UmJycJw5BcLkcul2N+fp5yuQxAf38/hUIBgHK5zPz8PPPz84RhmLwul8uUy2X6+/sZHR1Nxpqfn2d0dDTpK91H+jiOI31du2vSMcTjDgwMMDIy0nAufZzuK+18Yrnxxhsb+tixY8eSfguFAv39/Q1jTE9PE4ZhMkZ8bfpe4r7j8cIwTNrG4uPm+nid0vcU95ueq5GRkeR4ZGSE6enpZI1arddy8xWPEX8vNccZhmHLfjaDdvfS7t63I82RtNTpTF9lexdST7Sj47cC76HxifbbgJmm6y6Lzh+Mjm8HXtui/3ZPtO9oqnsOcDZ6PRBd97PROA0lajMKfBd4DfWtJ5dT3/PtQCnV7z7g2dF9niX1hLtVbMsVbR1ZGdqjveQa7dHWHu31oD3aK9MebZVWpeMBqGzv0iLRvoz6Xu3fSCXarwY+y8pbR1ol2ovAs5rqlk20o+OvAL+2TNw/DTwA5FJ1L2lOtJuueRZwDgjbxbZcUaK9svVItON+KpWKB0HglUrFDx8+7GEYNmwXiT6e0Xt7ez2fzydJ4MTEhM/OzibXDw0N+dDQ0JLXlUrFJyYmfGhoKOlzaGio5T/K6f7i69LHK12z0rj5fN7NrG1fFxJLnGzH5eDBg0v6mJ2d9YmJiWSO8/l8kmynx0j3E89383jpfuL1aFcfx2FmHoZhyzmYnZ1tmKtcLrfiei03X+k/ClrFuZm1uxd50EbPkRLtzV+svk4inWFmt1H/tI+npepeC9wIdFF/02BI/VM/3gz8DvAw4A+Bt7j7S6NrbqeePE809f8Z6kn4K4D73f1bZnaC+pPkA6l2z6GeqO+Mjp9P/c2Mv0L9U1EKwGOBh7r7r5vZlcDHgZdR3zLyw8BvUt9yst/d7zSzVwEfAT4F5Kkn+Fe5+2XtYltursbGxvzUqVMrzOgWc6IbTtyzcrtVMjPW43faevUjIpIlM/uwuzdvt5RNRHu0ZTN6FfD9+MDdvwo8FXgM9U/xeCMwRz0JXslLgScBXwY+utoA3P0NwPOob/v4OPD31N+Y+K/R+U8Av0j9KfanqX96yMuaurmf+tP4jwPvA3ZR//SSC4pNsqckW0RE1oOeaItsEXqivTI9iRaR7URPtDc/PdEWEREREcmAEm0RERERkQzkOx2AiGxvZrZuffX09KxbXyIiIhdKT7RFpHNO3LOuH6N09913d/qOREREEkq0RUREREQyoERbRERERCQDSrRFRERERDKgRFtEREREJANKtEVEREREMqBEW0REREQkA0q0RUREREQyoERbRERERCQDSrRFRERERDKgRFtEREREJANKtEVEREREMqBEW0REREQkA0q0RUREREQyoERbRERERCQDSrRFRERERDKgRFtEREREJANKtEVEREREMqBEW0REREQkA0q0RUREREQyoERbRERERCQDSrRFZOs60d3pCERERNpSoi0iIiIikgEl2iIiIiIiGVCiLSIiIiKSASXaclEysxNmdscKbV5rZrdvUEgiIiKyzSjRli3DzG4zMzezN7Q491vRuXdEVTcDT9zYCFfPzK6J4t3X6VhEREQkG0q0Zav5MvAsM9sRV5hZHng28KW4zt3Puvs3OxCfdMDc3BwHDhwgl8tx4MABjh8/3nB85MgRurq6MDO6uro4cuRIcn7nzp2YWVKCIMDMKBQK7N27l1wux969eykUCg3t0m3jr8PDwwwPDy+JIwiCpE1XVxfHjx9viH3v3r1L+j5w4ABzc3Nt73Fubq5lXav2cVxBENDV1UUQBC3nKX193Mfw8HASU6FQaHntavtvNV67tYv7iucs7jN9TbpNq7VJ31PzNa36Wy7Odt9vzWve3Lbd2rWb4+Hh4ZZ9rPZ7fy3XbqStEmdWtvv9b2vurqKyJQpwG/AO4CPAc1P1Pwn8K/Am4B1R3QngjlSbHPWn3N+Kyv8CXgfcHp1/KnAvkI+OHwE48LpUH68G3p06vgL46+i6rwNzQDF1/iDwHuDbUZuPA08CSlHf6XLbSvd/1VVXuTR55W6fnZ31/fv3e61W88XFRZ+amvJ8Pu9TU1O+uLjoR48edcCPHTvmCwsLfuzYMQf86NGjft111zngu3bt8muuucbNzAG/4oorvLe314Mg8AMHDngul/N8Pu+AX3311Uk7wMMw9PHxcQ+CwC+99FIvFos+MzOTxDE2Nua5XM7Hx8e9VCr5sWPHPJ/P+8TEhM/Ozvru3bs9CAK/4YYbfGBgwHft2uVBEPjRo0d9//79Pjs7u+Qea7Wa9/X1eV9fX0Ndq/YzMzNeLBZ9z5493tfX59Vq1Uulkh89erRhntLXu7vPzs56X1+fDw4O+uTkpBeLRe/p6fF9+/Y1XDszM+ODg4Pe3d29bP/N69LqHuI2R48ebZirY8eOealU8qmpqeSaqakp379/vx86dChZix07dviOHTuS9YnncGJiwvfv3+9TU1NeKpW8Wq0mx+1iWG5emud2cHDQZ2ZmlrRtbt9qnfr6+rxYLPrJkyf95MmTPjg46H19fQ19tLNc35vJVokzK1neP3DKN8G/zyrL5C6dDkBFZbUllWj/F+DvU/V/AbwiPh/VNSfaLwfuAZ4JPBL43SgBvj06vxP4HvDD0fHPA6eBf0718T5gKno9CHwD+E2gDFwJ/BXwISCI2nwS+KNovMuA/wA8Pkr6fypKDq4AikD3SvevRLuFV+72SqXitVotqapUKl6tVr1Sqbi7J4lwfFypVHx8fNzDMHQz8/Hxca/Vam5mXq1WfXx83AGv1WperVYdSL729PS4u3sul/NcLuc9PT1ef17hXiwWvVAoeK1W80qlksQR9+vuyblqtephGHqlUvFCoZDEW6vVvFarebFY9DAMG/pK36O7e6lU8lKp1FDXqn38Ot2+Vqt5GIYN85S+Pr6uVColdXFspVKp4drV9t+8Lq3uIT036bmKx4hjKpVKSV0Yhh4EgQ8MDCTnqtWq53K5pJ90f/G8NPfX7vun1bw0z236fPp1c/tW6xTPcfpcfH8rWa7vzWSrxJmVLO9fifbmLx0PQEVltSWVaPcA342eOheB+4GRFRLtu+IkOToOgM/EiXZU90FgMnr9FuCV0TiDwKXAInAoOv8q4D1N8fVEyfPjouNvAz/X5l6uidruW+GeXwCcAk6NjIy4NHll/Wnw4uJiUhUEgS8sLHgQBO7uDviZM2eS4yAI/MyZM8lT0DNnzvji4qIDvrCwkJxbXFz0hYWFpB5o6BNInpzG/cbXBUGQxBFf7+7JuXR/8fn4PuI2zX2l7zEez8wa6lq1j1+bWRJ/+n7juvT18XXxtenY4nuOr023ieNp1X/zurS6h/TcpOeqeYz0uPFaxOuR7iPuJ91fPC/puWoVw3Lz0jy36fPp183tW62TmTWcT59byXJ9byZbJc6sZHn/SrQ3f9Eebdly3P1bwNuA5wE/Rz1Z/lK79mbWTT1Zfn+qj3PUE+u026knwFB/I+W7qD+hvgY4RP2J94ei81cBTzCzs3Ghvn8c4OHR1/8JvMHMamY2ZWaPPI97vcXdx9x9rK+vb62Xbwvlcpn5+fmG4+npacrlMgBhGDI5OZkcl8tlJicnCcMQM2NycpL5+XnMjOnpaSYnJwGYn59nenoaIPna3V3/P1HmcjlyuRx79uxJxu3v76dQKDA/P0+5XE7iiPuN+4zrwzCkXC5TKBSSeOfn55mfn6e/v58wDBv6St8jwMjICKOjow11rdrHr0dHRxkZGUnahWHYME/p6+PrRkZGkro4ttHR0YZr43PpeFr137wure4hPTfpuYrHKJfLyX3EdWEYEgQBAwMDybnp6WlyuVzST7q/eF7i43YxLDcvzXObPp9+3er7s3mdRkdHG87Hc5nuo53l+t5MtkqcWdnu97/tdTrTV1FZbaHxifV1wFeBfwGe1eL8CaIn2kA39adb1zb192Yan2g/FThLfTvHPdS3ePwacAtL92e/C3g79S0hzWVXqt0jgF+gvpd7EXheVH8Nq3iinS7aOtKC9mhrj7b2aG/6vc9bJc6saI/29i4dD0BFZbWlKZE26m+A/CYQtjifJNrR8V3Ar6SOLUrSb0/Vxfu0bwP+Oqp7EvBZUvuzo/pXR/WFNcT/OuAfotdXR8nBwGqvV6Ldwit3u3v9H7JKpeJBEHilUvGJiYmG48OHD3sYhklifPjw4eT8jh07lmw/ADyfzyfJdm9vb5Jot2obfx0aGvKhoaElcUQf5ZiMPzExkdzC7Oys9/b2Lum7UqksSdjS9xQnas11rdrHcZlZsje91Tw1/8M/OzvrQ0NDSUz5fL7ltavtv9V47dYu7iues7jP9DXpNq3WJn1Pzde06m+5OJvnpfne27Vtt3bt5nhoaGhNCdhyfW8mWyXOrGR1/0q0N3+x+jqJbH5mdhv1J8BPi453Aebu324+b2YngKe7+4Ho3C8Dk8Dzqb9J8UXAc4GPuPs1qTE+SH1byE3ufrOZdQFngDzwRHd/X9TuB4CPAfPU3xB5GngY9TdbvhT4PvVPOfkT4E5gAHgD8EF3f76ZPZT6VpPnU38T5Xfd/exy9z82NuanTp06n6m7eJ3ohhP3dDoKEZGOMLMPu/tYp+OQ9rRHW7Ysd783TrJXoQrcSpTsUv/ef0uLdu+lvmXk9miM+4APUH/DZbw/G3e/i/q+7XPA/wE+Bfxe1O5+4AHqb458E/Un52+jvkf8JdH1X6X+ZstXA18DXrvK+xAREZEtQk+0RbYIPdFuQU+0RWQb0xPtzU9PtEVEREREMqBEW0REREQkA0q0RUREREQyoERbRLYu7c8WEZFNTIm2iIiIiEgGlGiLiIiIiGRAibaIiIiISAaUaIuIiIiIZECJtoiIiIhIBpRoi4iIiIhkQIm2iIiIiEgGlGiLiIiIiGRAibaIiIiISAaUaIuIiIiIZMDcvdMxiMgqmNlp4IuraNoNnM//m3wt163U9nzPr6V+H/CNZcbYCOc71+vd32qvW0275dqcz7ntsHab4WdupTZrPbdZ1w0uvrW7kN+Xe9y9b5VxSCe4u4qKykVUgFuyvm6ltud7fi31wKmtOtedWrvVtFuuzfmc2w5rtxl+5tZ77Tbrul2Ma7fevy9VNlfR1hGRi89fbcB1K7U93/Nrre+09Y4r67VbTbvl2pzPue2wdpvhZ26lNms9t1nXDS6+tVvv35eyiWjriIhsSWZ2yt3HOh2HrJ3WbmvSuomsnZ5oi8hWdUunA5DzprXbmrRuImukJ9oiIiIiIhnQE20RERERkQwo0RYRERERyYASbRERERGRDCjRFpGLjpk9zMz+0Mz+tNOxyPLMbIeZvcnM/sDMjnU6Hlk9/ZyJrEyJtohsKmb2RjP7upnd0VT/FDP7FzP7nJndtFwf7v4Fd78x20ilnTWu4U8Bf+ruPw9cv+HBSoO1rJ1+zkRWpkRbRDab24CnpCvMLAf8HvBU4ArgBjO7wswOmtk7mkr/xocsTW5jlWsIDAFfjpo9sIExSmu3sfq1k23CzG4zM4/Kv7Q4/xQzW4zO32dm/z6q/29R/blUeXR07nvRsUd/3OU2+r42ghJtEdlU3P3vgLubqh8HfC56grYI/DHwk+7+SXd/WlP5+oYHLQ3WsobAV6gn26B/kzpujWsn24CZhcDPATcAPcAjzOxFTc1eRP0P5jcD7wFmo/o3Uv8Z3wccBSw6BvgmcBBYAP4eeEZ2d9E5+qUmIlvBQ3nwqSfUf1E/tF1jM9trZtPAY8xsMuvgZFXareGfAz9tZq9D/0vpzarl2unnbNs4AXzP3f/Y3c8AnwNe3NTmauA3gHPUk+0hMzPgCcC73f1u4Ajw/egrwH3A16LXlwAX5f/YJd/pAEREVsFa1LX9pezu3wT+c3bhyHlouYbuvgA8d6ODkTVpt3b6OdseKsB3UsdfBh7V1GYn8FHgEPVk+gHgEdT/SHMz+xRQBt4FDEbXOPAFYAfQD1yUb6rVE20R2Qq+AgynjoeAuzoUi5wfreHWpbXb3tb0oCPlHA9uFXke9SfhjwLivdiH3H039ST+B4FfvPBQNx8l2iKyFfwj9X2B+83sEuBngL/scEyyNlrDrUtrt73dAVyaOh4GvtXU5izwmOh1nnoy/Xke/CPtZ6i/0daic7h7/MeaA++l/glEFx0l2iKyqZjZHPB+4AfN7CtmdqO7fx+YAP4G+Cfgre7+qU7GKe1pDbcurZ208N+Bgpk908z2AJcBv9PU5j08uG/72cBX3d2pf78cBp5JfWvJAPBWM+s3s8tS1/8I8PEM76FjrD4PIiIiIiJLmdmbgf8UHX7O3R9hZncCH3T3Z5nZk4B3U39a7cAX3X2/mT0b+G2gF1gEbnH3XzCzfwf8Q9TeonO/6e6v2NAb2wBKtEVEREREMqCtIyIiIiIiGVCiLSIiIiKSASXaIiIiIiIZUKItIiIiIpIBJdoiIiIiIhlQoi0iIiIikgEl2iIiIiIiGVCiLSIiIiKSgf8PxKuNnJYAbmoAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group hispanic_non_expat_MX_community_music_interests\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "testing count var dau_audience\n",
+      "processing group US_African_American_music\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_white_music\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_Hispanic_music\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group Hispanic_Spanish_non_expat_music_interests\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group hispanic_non_expat_MX_community_music_interests\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processing group US_hispanic_non_expats_mexican_aligned_music_interests\n",
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import combine_demo_data, clean_pop_data\n",
+    "from utils import plot_demo_combo_scores, test_score_significance, pairwise_test\n",
+    "## expat data\n",
+    "gender_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_genders.tsv', sep='\\t', index_col=False)\n",
+    "age_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_age_ranges.tsv', sep='\\t', index_col=False)\n",
+    "education_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_education.tsv', sep='\\t', index_col=False)\n",
+    "ne_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_Northeast.tsv', sep='\\t', index_col=False)\n",
+    "mw_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_Midwest.tsv', sep='\\t', index_col=False)\n",
+    "s_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_South.tsv', sep='\\t', index_col=False)\n",
+    "w_region_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_West.tsv', sep='\\t', index_col=False)\n",
+    "lang_data = pd.read_csv('../../data/query_results/hispanic_MX_music_interests_language.tsv', sep='\\t', index_col=False)\n",
+    "ethnic_group_files = [\n",
+    "    # native groups\n",
+    "    '../../data/query_results/US_African_American_music.tsv',\n",
+    "    '../../data/query_results/US_white_music.tsv',\n",
+    "    '../../data/query_results/US_Hispanic_music.tsv',\n",
+    "    # Mexican native groups\n",
+    "    '../../data/query_results/Hispanic_Spanish_non_expat_music_interests.tsv',\n",
+    "    '../../data/query_results/hispanic_non_expat_MX_community_music_interests.tsv',\n",
+    "    '../../data/query_results/US_hispanic_non_expats_mexican_aligned_music_interests.tsv',\n",
+    "]\n",
+    "\n",
+    "# combine\n",
+    "count_vars = ['mau_audience', 'dau_audience']\n",
+    "for count_var in count_vars:\n",
+    "    print('testing count var %s'%(count_var))\n",
+    "    count_var_pct = '%s_pct'%(count_var)\n",
+    "    mx_1_data = combine_demo_data([gender_data, age_data, education_data, lang_data,\n",
+    "                                    ne_region_data, mw_region_data, s_region_data, w_region_data],\n",
+    "                                   count_var=count_var)\n",
+    "    shared_interests = mx_1_data.loc[:, 'interest_name'].unique().tolist()\n",
+    "\n",
+    "    ## source data\n",
+    "    # clean source data\n",
+    "    source_data = pd.read_csv('../../data/query_results/all_MX_music.tsv',\n",
+    "                          sep='\\t', index_col=False)\n",
+    "    source_data = clean_pop_data(source_data, shared_interests, count_var=count_var)\n",
+    "    source_pct = source_data.loc[:, count_var_pct]\n",
+    "    source_pct.index = source_data.loc[:, 'interest_name'].values\n",
+    "\n",
+    "    ## destination: compute assimilation for all ethnic groups\n",
+    "    for d in ethnic_group_files:\n",
+    "        d_name = os.path.basename(d).replace('.tsv', '')\n",
+    "        print('processing group %s'%(d_name))\n",
+    "        dest_data = pd.read_csv(d, sep='\\t', index_col=False)\n",
+    "        dest_data = clean_pop_data(dest_data, shared_interests, count_var=count_var)\n",
+    "        dest_pct = dest_data.loc[:, count_var_pct]\n",
+    "        dest_pct.index = dest_data.loc[:, 'interest_name'].values\n",
+    "        e_assim_scores = compute_all_expat_scores(source_pct, dest_pct, mx_1_data,\n",
+    "                                                  top_dest_pct=50,\n",
+    "                                                  count_var_pct=count_var_pct,\n",
+    "                                                  group_cols=['demo_name', 'demo_val'])\n",
+    "        plot_demo_combo_scores(e_assim_scores, title=d_name)\n",
+    "    #     test_score_significance(e_assim_scores)\n",
+    "    #     pairwise_test(e_assim_scores)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Roughly the same results regardless of destination population, although the difference between groups is lower for the Mexico-aligned group, especially gender and education."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# compute assimilation\n",
+    "from utils import compute_assimilation, compute_all_expat_scores\n",
+    "black_assim_scores = compute_all_expat_scores(source_pct, dest_pct, mx_1_data,\n",
+    "                                              top_dest_pct=50,\n",
+    "                                              count_var_pct=count_var_pct,\n",
+    "                                              group_cols=['demo_name', 'demo_val'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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KiD2AC4GT+uqEA1cbcyS9ivQmurUgT8BFwK7AocBewBrgN5LGl1nvK4HLgZXAq4C9gf8BNhYV/QKwY0E6deCjMTMbOnV1dV0XgU2YMIEJEyZ0Pa+rq+OEE04AYMWKFcydO5eamhrmzp3LihUrhrRf5bY3WP0azPEN97EaLBHxO+CxXrb/PiLWZk+vA2ZmP7cA10XE0xHxHHAVcFi2bXfgd9nPVwDvKKcjTk5jJgGTgL8CbyAFmN/M8ncDAnhJQdkc8BBwTJl1/x44rY8yq4FPDKTve++9d4wk6deH2eg0LOf3KdsPSjVD0deFCxcGEI2NjXHppZfG4YcfHtnvyDj88MPj0ksvjcbGxsjlcrH//vvHnDlzor29PTo7O6O9vT3mzJkTbW1tg96viIi2tray2iu33GC1N9x15QGrYvg+Q5uB28so9wngu9nPLcBdwFRgO+Ba4KzY8rl5SPbzicC6PusersE6OY2EBPwY+Er2c2Hgukf2S3n3ovL/AJaXUe8O2f4LgQ7gQeBqYL+icquBB4BHgVuARcC4cvruwNVs+Iz1wLW+vj6AaG9vj4iI1tbWyOVykcvlorW1NSIi2tvbY/r06SGpq1xee3t7V7nB1traWlZ75ZYbrPaGu668kRa4AvOBPwNTC/IWADeRZleXAl/L8l9E+qbyRuAU4NE++zBcg3VyqnQiLQ+4MR8oFgWudVlQeQHQCIwDPpkFo78uo+5XZWUfBT5IWmrwJeC5olncE7M39Z7AMcAj+b9Ke6j3OGAVsGr27NkxkuRnX5ycRmsacoMYuA5V6uzsjIiIXC7XlZfL5SIiorOzMyR1K5fX2dnZVW6w5XK5stort9xgtTfcdeUxggJX0mfbX4HdeinzJeD4Evm7AX/oqw9e42pjgqTdSW+WIyOis3h7RGwkra15ASn4fJoUYF4GbCqjifx76TsRcU5E3BwRnwH+AHy4oJ2vRsSVEXFrRHwXOB5YIGlqqUojYllEzIuIeU1NTWWPd7gM1y9LJ6fhTtVmsMdfX18PQEdHBwAtLS3kcjlyuRwtLS1d23bYYQckdZXL6+jo6Co32FpaWspqr9xyg9XecNc10kiaDfwMeH9E3FW0bYeCMm8HVhTl54DPkmZje1fpXw5OTsORgKNIswXPFaQANmc/1xeUnQQ0ZT9fD3yrjPrnZPW9ryj/e8Ave9lv52y/V/bVhpcKmA2fYTm/R/BSAa9xHfx6BruuPIZpxjULNu8nXXD8T9LX/x8GPpxt/y6wlrQM7pbCfpGWzv0J+CMFS+iAj5PWv94FfBlQn/0YjsE6OVU6AZOBuUXpBqAt+3mrNwvpDgObgP3LqF/Av4AvFuVfDXy7l/0OyT4MZvfVhgNXs+Ez1gPXfL21tbVdAev48eNj/PjxXc9ra2tj4cKFEZECsvw62NbW1iELWvPKbW+w+jWY4xvsYzVcgetISUpjNht7JK0krdVZmD1/F2nN6RrSxVrfAG6MiL5vz5H2/w/g86S1qzcD786ez4uIP0p6NWkt7JXAE8DLga+Rfukc0lf98+bNi1WrVvVrjENJEv79YaPVsJzfiyfB4ie2uZqh6qvf49VB0o0RMa/S/RgutZXugNkIsiPwVWA66euQc0k3US5LRHxd0jhgCem2H3cAB0XEH7MizwLvIV05WU8KkM8GTh+sAQwnf6CZjW5+j9tI5MDVxqyI2Lfo+ZnAmdtY5+n0EIhGxE2kGVczMzMbAN9VwMzMzMyqggNXszJIOlLSUz2kOyrdPzMbfPl/bTpUabDamDJlSoWPlNnw8VIBs/JcQro1Vikbh7MjZjb0hmt9ZywelmbMRg0HrmZliIh1wLpK98PMzGws81IBMzMzM6sKDlzNzMzMrCo4cDUzMzOzquDA1czMzMyqggNXMzMzM6sKDlzNzMzMrCo4cDUzMzOzquDA1czMzMyqggNXMzMzM6sKDlzNzMzMrCo4cDUzMzOzquDA1czMzMyqggNXMzMzM6sKDlzNzMzMrCo4cDUzM+tDY2MjkgaUWDyp7LKNjY2VHqrZiObA1czMrA9r164lIgaUgLLLrl27tsIjNRvZHLiamZmZWVVw4GpjgqSPSrpV0pNZulbSWwq2T5e0XNJ9kp6W9CtJuw6gHWX7hqR3Fm3bTdJFkh6RtE7SdZIOHIzxmZmZjQUOXG2s+CfwSeBlwDygHbhI0p6SBFwE7AocCuwFrAF+I2l8P9v5L2BTD9t+ATQA+2VtdAAXS3pBP9sYdukQmVk18PvVRjMHrjYmRMTFEXFZRNwTEXdFxCJgHfBqUsD6KuD4iPhDRNwJfAR4HnB4uW1Imgd8HDi6xLZpWTtfiYg/RsQ9wKeAWlIQa2Y2aOrq6ra68CuXy5HL5Zg1axazZs0il8ttVW7q1KlMnTq1W96sWbNYsWIFACtWrGDu3LnU1NQwd+7crvyerFixglmzZpWsq7d9+tPGQJXTTr5MLpejoaGBXC43pH2yMgx0sbmTU7UmoAZ4L9AJ7JGlAHYvKvcPYHmZdU4E7gbenD0P4J0F2wX8CTgHmJD14XjgcWDHctrYe++9o1LSrwqzsWub3gOnbD887UTEwoULA4ja2toAor6+PrLfRwFEXV1dTJo0KSZPnhwTJ06M8ePHRy6XiyOOOCImT54cQEiK7bffPk4//fSYMWNGTJ48OZqammLhwoUxZ86caG9vj87Ozmhvb485c+ZEW1tbyb60tbVFU1NT7LjjjnH55ZfH5ZdfHjNmzIimpqZe9+lPGwNVTjv5MosWLYo5c+bEkiVLorm5uev5YPdpoIBVMQI+W4crVbwDTk7DlbIA9SnguSxgfEuWXwesBi4AGoFxpGUFAfy6zLrPA84qeN4tcM3ydgL+AGzO+vAQ8Opy++/A1axyqiVwLQxUp0yZEu3t7TFjxoyoqamJKVOmBBDNzc3R3NwcdXV10dzcHEuWLInW1tZobm6O2traqKmpiebm5oiIaG9v7ypfX18f7e3t3dprb2+P1tbWkn3J11m4T76+3vbpTxsDVU47+TKFZQufD3afBmqsBa5KYzYb/SSNA2YDk4F3AMcC+0bE7ZL2Br4HvIS0RvU3pACTiHhzH/W+nxTozouIDVleAO+KiPOz5/l1tOOAU4FngGNIa2pfHhH/6qHu44DjAGbPnr33mjVrBjz+beE1c2Yw4M/LxZNg8RNlFR3M95oknn32WRoaGti8eXNXfi6XVglu3ryZXC7HunXrmDhxYuEf2Uhi8+bNbNy4kfr6+q7nnZ2d1NXVddW1ceNGGhoa2LRp66X9NTU1AGzYsKFrn8L6etqnsHxfbQxUOe3kyzQ0NHSVzZfJ5w9mnwZK0o0RMa/S/RguXuNqY0ZEdEZa47oqIj4N3AL8Z7btxoh4KSmo3TEiDgSmAveWUfV+wIuBpyQ9J+m5LP/Hkjqyn98AvBU4PCKuiYibIuJ4YD0l1sQW9HlZRMyLiHlNTU0DGPXgqfRf2U5OlUzV8l6rr6/vqmfy5Ml0dHSwww47UFNTw5QpUwCYPXs2s2fPpq6ujtmzZ7N06VJaWlrYeeedqa2tpaamhp133hmAjo4Odt55Z2bPnk19fT0dHR3d+trR0UFLS0vJcbS0tDB79uxu++Tr622f/rQxUOW0ky9TWLbw+WD3ycpU6V8GTk6VSqQ7C/yoh227kmZe9y+jnp2AuUUpSEHxLlmZt5JmcLcv2vdO4HPl9NdLBcwqZ5veA17j6jWuQ4gxtlSg4h1wchqOBHwZeB3QTFrr+t9ZIHlQtv1dwHxgF+AQsjWv29Be8cVZ04BHSOtoXwLsBpwBbAReVk6dDlzNKqdaAtd8HfnAtTBl95eOmTNnxsyZM0PSVuUaGxujsbGxW97MmTO7grS2trZobW2NXC4Xra2tfQZvbW1tMXPmzJJ19bZPf9oYqHLayZeRFPX19SFpSPs0EGMtcPUaVxsTJC0nBaYzgCeAW4EzIuLX2faPAScB04H7gXOBL0ZE5wDb67bGNcubB5xGuo9sHfBn4AsR8cty6pw3b16sWrVqIN3ZZpLw7woby7bpPdDPNa7b+l7z+3VsGWtrXGsr3QGz4RARR/Wx/UzgzEFsb6srLCJiFXDAYLUxnPwhaFY9/H610cwXZ5mZmZlZVXDgatYHSUdKeqqHdEel+2dmZjZWeKmAWd8uAa7vYdvG4eyImVXOQO+xGqdsX/a++VtWmVlpDlzN+hAR64B1le6HmVXOtq4bjcWD0w+zsc5LBczMzMysKjhwNTMzM7Oq4MDVzMzMzKqCA1czMzMzqwoOXM3MzMysKjhwNTMzM7Oq4MDVzMzMzKqCA1czMzMzqwoOXM3MzMysKjhwNTMzM7Oq4MDVzMzMzKqCA1czMzMzqwoOXM3MzMysKjhwNTMzM7Oq4MDVzMysQGNjI5L6lVg8qeyyjY2NlR6iWdVy4GpmZlZg7dq1RES/ElB22bVr11Z4hGbVy4GrmZmZmVUFB65mZmZmVhUcuNqYIOnTkm6Q9KSkhyX9XNLcojLTJS2XdJ+kpyX9StKu/WjjbEl/lfRM1sbFklqKyuwm6SJJj0haJ+k6SQcO1jjL6ONwNWVmQ8zvZxuLHLjaWLEv8G3g34A3AM8Bv5HUCKD0CXARsCtwKLAXsCYrM77MNlYBRwEtwAGAsv3rCsr8AmgA9sva6AAulvSCbRibmY1xBxxwQLcLwHK53FYXhdXV1TF16lRyuRx1dXVd+bNmzeKEE05g7ty51NTUMHfuXFasWDHgvqxYsYJZs2Z1q3/FihWsWLFiqzZK5Q2GE044gYaGBiTR0NDACSecsFUfh6JdGwb9XYDu5DQaEjAB2AS8NXu+GxDASwrK5ICHgGMG2MaeWZ27Z8+nZc/nF5Spzfrxzr7q23vvvWNbpbe8mfVmQO+TU7Yf2vp7qWf//fcPICZOnBgnnnhi1NfXBxC5XC4kxYQJE2LChAkxfvz4kBT19fXR2NgYM2bMiE9/+tMxadKkyOVysWjRoujs7Iz29vaYM2dOtLW19btPbW1t0dTUFDvuuGNcfvnlcfnll8eMGTNi++23j6ampmhvb+9qo6mpaau8gbZbaOHChVFbWxtLliyJ9evXx5IlS6K2tjYWLlzY1cc5c+YMeruVAqyKEfC5Olyp4h1wcqpEAnbMgsjXZs/3KAwyC8r9A1g+gPrHA18jzdrWZ3kC/gSckwXONcDxwOPAjn3V6cDVbHhUW+AqKaZMmRLt7e3R2toazc3N8ba3vS2AmD59erS3t0ddXV00NzfH9OnTA4j29vZu5adPnx6tra1ddee39Ve+vvb29m515dsv1NzcvFXeQNstVF9fH0uWLOmWt2TJkqivr+/qY2H/BqvdShlrgavSmM3GFkk/IS0LmBcRm7Kv8+8GbgSOBZ4C/hP4MnB5RBxQZr3HA6eTAtc7gYMj4p6C7TsBFwLzgM3AY8AhEXFtD/UdBxwHMHv27L3XrFkzgNF2q2+b9jcbK/r92bh4Eix+oqyig/k+jIiupQEbNmygoaEBgAcffJCmpiYk8eyzzzJu3DhyuRybN28GoLOzE6Cr/ObNm8nlcmzatAmAjRs30tDQ0PW8XDU1NQBs2LCBurq6rrry7RfWl1/OUJg30HYLSWL9+vVst912XXlPP/0048ePJyKoqanp1r/BardSJN0YEfMq3Y/hUlvpDpgNN0lfBV5Lmm3dBBARGyW9A/ge8Cjp6/vfAJf1s/rzgCtIM7qfAH4q6TUR8XS2jvbbWf2vA54BjgEukPTyiPhXcWURsQxYBjBv3rxB+SvTf6ya9W44/sAbjPdhvp+SmDRpEh0dHbS0tLB+/XoWLFgAwA477EBHRwd1dXXstNNOPPPMMzz44IN0dHQAdJV/5plnmDZtWlfd+br6K19fR0cH8+fP76or336hnXfeeav9B9puofr6epYuXcqJJ57Ylbd06VLq6+u7+ljYv8Fq14ZJpad8nZyGM5G+vr8feFEvZSYBTdnP1wPfGmBb44D1wPuz5/uRZlknF5W7G/hsX/V5qYDZ8BjQ+8RrXCPCa1wrgTG2VKDiHXByGq4EfAN4EGgps/yupJnX/QfYXj3wNNnFXcBbs8B1+6JydwKf66s+B65mw6PaAteILcFrPknq9hyI2traaGxsDEkXRVy+AAAgAElEQVRRW1vblT9z5sxYuHBhtLa2Ri6Xi9bW1m0K4tra2mLmzJnd6m9ra4u2trat2iiVNxgWLlzYFcDX19d3Ba2FfRyKdithrAWuXuNqY4KkbwHvJ93q6k8Fm56KiKeyMu8CHiFdULUHKdC9MSLeUUb9LwTeQVpe8DAwE/gUaUlAS0Q8IGka8BfgKuALpKUCxwL/AbwyIm7qrY158+bFqlWryh5zD/3E73mz3g3ofdLPNa6D8T70+9lg7K1x9X1cbaw4HpgI/Ja0VCCfPlFQZkfgXFJweSbwQ+DwMut/lnSv2MuAe4AfA+uAV0fEAwAR8QhwIOmOAu2k+77uAxzaV9A6WPwhZzZ6+P1sY5EvzrIxISL6vNoiIs4kBawDqf8fwEFllFtF+ucEZmZm1k+ecTUzMzOzquDA1awMko6U9FQP6Y5K98/MBlfxv0vtK/VnnylTplR4dGbVy0sFzMpzCenWWKVsHM6OmNnQGuja0Vg8uP0ws605cDUrQ0SsI11sZWZmZhXipQJmZmZmVhUcuJqZmZlZVXDgamZmZmZVwYGrmZmZmVUFB65mZmZmVhUcuJqZmZlZVXDgamZmZmZVwYGrmZmZmVUFB65mZmZmVhUcuJqZmZlZVXDgamZmZmZVwYGrmZmZmVUFB65mZmZmVhUcuJqZ2ZjR2NiIpAEnFk/q9z6NjY2VHrbZqOHA1czMxoy1a9cSEQNOQL/3Wbt2bYVHbTZ6OHA1MzMzs6rgwNXMzMzMqoIDVxszJO0j6RJJ/5IUko4q2j5d0nJJ90l6WtKvJO1aZt2Nks6S9BdJz0j6h6T/lTS1qNxuki6S9IikdZKuk3TgIA7TIK1FNBulfH7bWObA1caSCcDtwMeBZwo3KH0SXATsChwK7AWsAX4jaXwZdT8f2Ak4GdgDeB+wD7CiqNwvgAZgv6yNDuBiSS8Y2JDMzMzGDgeuNmZExKUR8ZmIOB/YXLR5V+BVwPER8YeIuBP4CPA84PAy6r49It4eEZdExD0RcRVwEvBGSdsDSJqWtfOViPhjRNwDfAqoJQWxZmY9WrFiBbNmzQLoumNBXV0dkmhoaNjqMZfLdT3OnTuXFStWsGLFCubOnUtNTU1XXmH9+W2zZs1i1qxZW/1cvE9vfS1uJ59Xql+97XvCCSf02Gcbg7bl6konp2pNwFPAUQXP9wAC2L2o3D+A5QNs472kmd3a7LmAPwHnkGZ/a4DjgceBHfuqb++99w4rT/rVZra1bT43Ttl++NuMiLa2tmhqaorJkycHEIcffnjkcrmor6+PXC4Xr3nNa6K2trbbY01NTRx55JExZ86cWLRoUTQ1NUVTU1O0t7dHZ2dntLe3x5w5c6KtrS3a2tpizpw50d7eHueee27suOOOMWPGjPjIRz7S9fO5557bbZ/e+pqvK99Ovu1FixZFc3NzLFmypKtfhfUV77to0aKora2NRYsWbdVnS4BVMQI+V4crVbwDTk6VSCUC1zpgNXAB0AiMAz6ZBbO/HkD9k4G7gTOL8ncC/kCa8X0OeAh4dTl1OnAtnwNX60m1Bq6tra3R3Nwczc3NAURra2ssWbIk6urqYsaMGVFfXx9LlizZ6rG1tTXa29u77V8ovy1fLt9We3t7tLe3R319fdfPra2t3fbpra/5uvLybRduy9dTWF/xvvlxFrbXV/tjzVgLXJXGbDa2SHoKWBgRywvy9ga+B7wE2AT8hmxJQUS8uR91jwd+ldVxYERsyPLz62jHAaeSZmOPIa2pfXlE/KtEXccBxwHMnj177zVr1vR3qGOSL16x3mzT597iSbD4iX7tMhTnYy6XY926dYwfP55cLsfmzZtZv34948eP7/Y4ceJENmzYQENDA5DGvnnzlpVSGzdu7Nq2YcMG6urqqKmpYcOGDQCMGzeOzs5OABoaGti0aVPXPps2bSrZt/z+dXV13fIiAkld2/L15Pu3adOmrfatqalh3bp1TJw4sau9vtofayTdGBHzKt2P4VJb6Q6YjRQRcSPwUkmTgHER8bCk64FV5dYhaQJwafb04HzQmnkD8FagMSIez/KOl/Qm4GhSMFvcp2XAMoB58+b5r8x+8B/lVkql/qjZ1vNx7ty5rF+/HoDVq1fT0tLC0qVLqaurY+rUqaxdu5alS5dSX1/f7bGlpYWOjg5aWlq69i+U35b/ef78+V37ANTX13f9XFgu/3Mp+f3nz5/flTd79mwAxo8f37UtX09hfcX75sdZ2F5f7dsoV+kpXyenSiSKlgr0UGZX0qzp/mXWOZF0l4BrgIkltr+VNIO7fVH+ncDn+qrfSwXKh5cKWA+2+dzwGlevcR1hGGNLBSreASen4UqkC6JemqWngc9lP8/Otr8LmA/sAhxCtua1zLonAtcCd2QB74yCNC4rMw14hLSO9iXAbsAZwEbgZX214cC1fA5crSfVGrhGpKBu5syZQVp7H0DU1tYGEPX19Vs9Sup6bG1t7QpQW1tbI5fLdeUV1p/fNnPmzJg5c+ZWPxfv01tfi9vJ55XqV2/7Lly4sMc+W4y5wNVrXG3MkLQvcGWJTT+IiKMkfYx0C6vpwP3AucAXI6JzG+oGmB8RK7Ny84DTgHmkC8L+DHwhIn7ZVxvz5s2LVavKXrUwpknCv9uslG0+Nwa4xnUwz0ef31bIa1zNRqkseOxxgVtEnAmcORR1F5RbBRwwkDasfP5Qt9HM57eNZf4HBGZmZmZWFRy4mpVB0pGSnuoh3VHp/pmZmY0FXipgVp5LgOt72LZxODtiZttmW26JFads3+/9p0yZMuD2zKw7B65mZYiIdcC6SvfDzLbNYKwPjcXb3g8zGxgvFTAzMzOzquDA1czMzMyqggNXMzMzM6sKDlzNzMzMrCo4cDUzMzOzquDA1czMzMyqggNXMzMzM6sKDlzNzMzMrCo4cDUzMzOzquDA1czMzMyqggNXMzMzM6sKDlzNzMzMrCo4cDUzMzOzquDA1czMzMyqggNXMzMbsxobG5E05InFk4alnf6kxsbGSh9+s36rrXQHzMzMKmXt2rVExNA3tHjS8LTTD5Iq3QWzfvOMq5mZmZlVBQeuZmZmZlYVHLjamCFpH0mXSPqXpJB0VNH2L0r6i6T1ktZK+q2kf+tH/cdJulLS41n9zSXK7CbpIkmPSFon6TpJB27z4Mwy/vrXRgqfizYUHLjaWDIBuB34OPBMie13Ah8F9gBeC9wL/ErS9DLr3w64HFjcS5lfAA3AfsBeQAdwsaQXlNmGmdmIt2LFCoCuC8Hq6urYc889yeVyW10k1tDQsFXehAkTtsqrq6tj6tSp1NTUMHfu3K42bGxx4GpjRkRcGhGfiYjzgc0ltv8oIn4bEX+LiDuAE4GJwEvLrP/rEfHfpGB0K5KmAbsCX4mIP0bEPcCnSBdJ7jWwUZmZjSwrVqzgQx/6EACnn346l156Kblcjttuu42IYN9992XSpEld5Z999tmuoPTf/i19ybV+/Xrq6uoAuvIAHn/8cT70oQ9x1llnsWjRIgevY5ADV7MSJI0DjgOeBG4ZpGofBf4MvF/SBEk1WRvrgGsGqQ0zs4o67bTT2LBhAwAnnXQSBx10UNcdFXK5HA8//DAXXnghS5Ys6dpnp512YuLEiVxzTfdfhTNmzOCaa65hypQpPPfcc5xxxhmcc845zJ8/n+9973ucdtppwzcwGxE00m7PYTYcJD0FLIyI5UX5BwP/R/ra/37gsIj4Qz/rngfcAMyJiNVF23YCLgTmkWZ9HwMOiYhre6jrOFJwy+zZs/des2ZNf7piY5DXFfbfcN0Oi8VPDH07/TAc50r+2Ba2lcvl2LBhAxs3bmT8+PFdeRHB5s2btyq7adOmrrz169czfvx4IoKNGzfS0NDApk2bhnwcI5mkGyNiXqX7MVx8H1ez7q4kLQ2YBhwL/ETSqyPi/m2tWOk377dJM6+vI62zPQa4QNLLI+JfxftExDJgGcC8efP8V6aVxRMS5Rvrgf5QnCtz587lrrvuYuPGjV15dXV1bNy4kVwuR0tLCx0dHdx8881d22fPnr1VPfnlAwBTpkxh7dq1LF26lPr6egA6OjpoaWkZ9P7byOalAmYFImJ9RNwTEddFxAJgIym4HAxvAN4KHB4R10TETRFxPLAeOHqQ2jAzq6hFixbR0NAAwBlnnMFll13W9QfC5s2baWpq4rDDDuO//uu/uvb517/+xbp163jNa17Tra4HHniA17zmNaxdu5ba2lpOOukkPvjBD3LllVeyYMECFi1aNHwDsxHBM65mvcsB9YNU13bZY/GFYZvxH5FmNkocfvjhABxxxBGcfPLJANTW1rLHHntw++23s3Llym7l6+vrefbZZ3n00Uf5/e9/D8D48eNZv349QFcewOTJk/nOd77D7373O0477bSutmzscOBqY4akCcALs6c5YLakl5LWmT4OnAz8nLS2tYl0a6yZwE/KrH8GMAPYLct6saTJwN8j4jHg2qyt70v6AmmpwLHALqTbZJmZjQqHH344RxxxhJet2KDzLI+NJfOAm7P0PODz2c9fAJ4DWkkXTt1NCmCnAvtExK1l1v/hrL7zsue/zJ6/DSAiHgEOJN1Pth1YBewDHBoRN23j2MwAr2+1kcPnog0Fz7jamBERK4HersQ4bBvrX0zv/3yAiFgFHLAt7ZiZmY1VnnE1MzMzs6rgwNWsDJKOlPRUD+mOSvfPzAau+F+LDkUarnb6k6ZMmVLhI2/Wf14qYFaeS4Dre9i2sYd8MxvhhnMdZiwetqbMRi0HrmZliIh1pH/NamZmZhXipQJmZmZmVhUcuJqZmZlZVXDgamZmZmZVwYGrmZmZmVUFB65mZmZmVhXkf8lmVh0kPQys6WHzJOCJfmwrzuvP82nAI2V0uVy99X2g5XsqU25+b8+Lt43047Gt50apvJ6Ox2Afi576sy1lh/LcKH4+0s+N3sqMtnOjnPLV+l7ZOSKaBqmukS8inJycqjwBy/qzrTivP8+BVcPV94GW76lMufl9jL9424g+Htt6bvTneAz2sejv8aj0uTHUx6PS75VqPjfKKV/t75WxkrxUwGx0+Hk/txXn9ff5YOpv3eWU76lMufm9PR/KYzGQ+vsqv63nRqm8kXo8Kn1ulNuHgar0e6Waz41yylf7e2VM8FIBM+sXSasiYl6l+zFS+Hhs4WPRnY/HFj4W3fl4DJxnXM2sv5ZVugMjjI/HFj4W3fl4bOFj0Z2PxwB5xtXMzMzMqoJnXM3MzMysKjhwNTMzM7Oq4MDVzMzMzKqCA1czGzSSWiQtlXS+pI9Uuj+VJOlQSWdLuljS/pXuT6VJ2kXS9ySdX+m+VIKk8ZJ+kJ0TR1a6P5U21s+HYv59UT4HrmYGgKRzJD0k6fai/AMl3SnpHkmf6q2OiPhzRHwYeDdQtbd6GaRjcVFEHAscBbxnCLs75AbpePwtIhYMbU+HVz+Py9uB87Nz4m3D3tlh0J/jMRrPh2L9PB6j5vfFUHPgamZ5y4EDCzMk1QDfAg4CXgwcLunFkvaQ9IuitEO2z9uADuC3w9v9QbWcQTgWmc9m+1Wz5Qze8RhNllPmcQFmAv/Iim0axj4Op+WUfzzGguX0/3iMht8XQ8qBq5kBEBG/Ax4ryn4FcE82O9IJ/B9wSETcFhEHF6WHsnouiYh/A6r269DBOBZKvgJcFhE3DfcYBtNgnRujTX+OC/BPUvAKo/Szt5/HY9Trz/Goht8Xku6StFlSSOqUdFnR9hdJejrbvjkr85SkWZJ+L2lDwf6XZPtcXpAXkm6RpN76MSrfPGY2aHZiyywRpA/fnXoqLGlfSWdK+g5w6VB3bpj161gAJwBvBN4p6cND2bEK6e+5MVXSUmAvSZ8e6s5VUE/H5WfAOyT9L2PrX3+WPB5j6Hwo1tP5UQ2/L74NbAY2AlOAfSW9tWD7XsCTwK+AbwIPAwE8B2wHrM22rQf2kTSFtKTsYeDfgI+SZqGP660TtYM3HjMbhUr95dvjfy2JiJXAyqHqTIX191icCZw5dN2puP4ej0eBkfqBPJhKHpeIWA8cPdydGQF6Oh5j5Xwo1tPxqIbfF+uBp4CGiFgv6SpSsJn/Q2xf4HZSbPl3YCqwhhTkNgC3AncAu5AC4AOBicBDEXGtpH8CS4C3At/pqRMOXM2sN/8EZhU8nwncV6G+VJqPRXc+HqX5uHTn49FdNR+P3YEnSEEowGrSTGneTsBZpH9n+0qgHjgN2C3b/jpgNjAHuDorvw6YKulW4Olsn15jUy8VMLPe3ADsKmmOpHHAe4FLKtynSvGx6M7HozQfl+58PLqr5uPR17csIi13uIUUmD4ELAbqgBcCV5GC04eA6dm+J5NmcjcDe5KWFWzsrRMOXM0MAEkrgGuB3SX9U9KCiHgOWAj8Gvgz8JOIuKOS/RwOPhbd+XiU5uPSnY9Hd6PwePwFmFTwvBm4v+D5P4FDScsBXgpsAGpIyws6gTeRZlsbgRZgLvBL0hrXB4ELSUFrrzPQiuhxSZKZmZmZGZLq2TI7OgV4BHhPROTvEPAW0i3AbiHdPWENMI20NOIRUhC7M2nmdRfSsoHnk66L+A1pxnUacFRE9HhxrwNXMzMzM+uVpDWkIDS/ZOA+UtD5JtK61m8CfyXdQQDS1/7vIgWtV5NmU/PrVzsiYh9J/2DLbeICeBT4gANXMzMzM6t6XuNqZmZmZlXBgauZmZmZVQUHrmZmZmZWFRy4mpmZmVlVcOBqZmZmZlXBgauZmZmZVQUHrmZmZmZWFRy4mpmZmVlVcOBqZmZmZlXBgauZmZmZVQUHrmZmZmZWFRy4mtmoJ6lZUkhaPAR1L87qbi7IOyrL23cI2huysVj5stdgeaX70R+lztWRzOe6leLA1cyGnaQpkjZkH0rvq3R/RprsA3uxpJdWui9mQ8nnuvVXbaU7YGZj0pHAOOBeYAHwoyFubw3wPOC5Iaj7VODLwLODWGczcAqwGrilaNtQjsVsuDXjc936wTOuZlYJC4Arga8Dr5f0gqFsLJINETHoH4AR8VxWdwx23T20N2RjqVaSJla6Dzb4fK5bKQ5czWxYSXoZ8FLgB8B5wEbg6B7KvkXSVZIekfSMpL9L+pmk3QrKzJJ0jqQ1kp6V9JCk30v6QEGZrdbKFeZJerekW7I27pF0dFZmtqTzJT0maZ2kHxUHSeWuG5Q0UdKpkq7PxvNs1taXJW1XUO4oUlAP8P2s7pC0sqexZPm1kj4p6U/ZMoxHJV0oaY+icoXjPljSDVn5+yWdIamsb+LKeW2ycjMknSnpbwWvzxWS3lRUbp8s/4msvpskLSjR7kpJqyXtkn9tgCcLtkvSRyTdKOnp7HW7UtL8EnX9u6Q/SHpc0vqsj+dJairnGGR1vFHSdVlbD0j6hqTxBdtPzI73G0vsW5+dW78ts633SOrIxvR0di69s0S5nKRPS7o3e21vk3RkD3WulLS6RH5P55kkHZu1/VSWbpP0hYIyo+pct5HFL5qZDbcFwHrggohYL+mXwAckfS4iNucLSXo9cAlwG/DfwOPA84E3Ai8E7so+eK4AdgK+DdwFTAL2BF5HCo77cjDw4Wz/x7L+nSOpE/gS0A58Bng58EFgA3DMAMa9U7bfBUAb6evP1wMnA3sBB2Tlfpe1+xlgGXB1lv9gH/WfB7ybdDz+F5gBfBS4VtLrIuLmovJvBo4HlgLnAIcAnwDWZu33qJzXJivXDFwDTAfOBVYB44FXZWWvyMq9FbgQeABYAqwD3gt8V9IuEbGoqAsTgKuyuhcBOxRs+yFwOHA+8H2gnrQ05QpJb4+IS7I230c6P64GPgc8A8wGDsrqe7i3Y5B5GfBO4OxsfPOBjwFzJb0pO59/QDqeC4DfFO1/GDAF+F5fDUk6NRvrr4D/B2zO9v+ppIUR8a2C4l8FPk46l76WjedbwN/KGFNffkg6ntcDp5Fe+xeRjsPnsjKj5ly3ESginJycnIYlAQ2k4HB5Qd4hQAAHFZX9apa/Qy/17ZmVObmPdpuzcotL5K0Hdi7IbyIFp5uBE4vq+RnQCUwoyFuc1dNckHdUlrdvQd44oK5E376YlX1FQd6+Wd5RZY7lTVnejwEVHZ/ngKt7GHdhnwXcDtxfxuvY52uTlbs0K3dAiW257LGGtJbxceD5RcfrGmATsGtB/sqszlNL1HlYtu24ovxaUtB8b/74ZK/lk0DtAM/lyNKhRfnfyPLfW5DXlp1TjUVlryC9Hxr6aOtlWZ1fKrHtomwcE7Pnu2fn7m+BmqI6Npc4V1cCq8s8z96d5f0w//oVv56j7Vx3GnnJSwXMbDi9nTTDVDgT+kvgIdJsZqEnssd39PKVXr7MfEk79FCmLxdFxJr8k4h4GLiT9CH/raKyVwN1pA/EfomIzojYCF1fdU6RNI0ts3CvHEDf8w7LHk+L7JM5a/NW4BfAa0t8/X1RRKwuKBukr21nSJrQR3t9vjaSGoEDgV9FxK+Lt8eW2fW9STOd50TEfQXbO4EzSEvaDinRxP+UyHsfabb2IknT8gmYDPyc9LrtWjCG7YC3SFIvY+3NnRFxUVHel7PHwwrylrFl5hfomo3eDzgvIjb00c6RpADsB4XjysZ2CTAReHVW9hBSYPbViNiUryAibiKb4d4G+f5/ouD1y9e/ueDn0XSu2wjjwNXMhtMC0lew/5T0QkkvJAUTVwBvyz7c8r4J3Ez2Fb6kSyV9rPBDKQs4TwP2B+5XWtd4uqSX96NPpb4+XUuajSm+U8Da7HFqP+rvIul4SbeS7kDwGOlYrMw2TxlInZk5pED7zyW23V5QplCpcT+aPfY1vj5fG9KSAWXlepPv1x0ltuX7vktR/sMR8XiJ8i2kIO5B0rEtTIuzMtOzxy+RZnovAh6WdIGkY9S/C722Ot4RcT9p9niXgryVpOUThWt2jyYdn++W0U5LVvYvbD2u/DKD/Ljy7f6lRD1/KqOt3uxKel/09VX+aDrXbYTxGlczGxaS5pDWAIpsDWQJ7yPdaYCIeDQLQF9H+npwH9J6vc9LenNEXJuV+6ykc4C3ZGWPAU6SdHpEfLKMrm3qZz7ZGPpF0omk9ZuXA2cC95GWHewELGfbJhIGMmM44PGV+drk6+jrbgsD6fvTvdT1MHBEL/veDhARd0t6MWnWcz/SGsyzSWPYJyL+WkY/ehpbqTGdDZwhaW9SMH8UsCoi/lhGO8raOoieX7c7Csr21LdS/eppDKXig3w/ejWaznUbeRy4mtlwyc8wHUuakSp2KmlG6uv5jOyrzpVZQtKewI3AZ0mBar7c34CzgLMkNQC/Bk6WtCQiHhqCsQzE+0n3qjwoul+EdmCJsv29tdZfSRe8tAC3Fm17cfZ4bz/r7FUZr83dpHHs1UdV+QCxtcS2fN/LvajobmA34LqIeKqvwtmM+qVZQtKbSUtXTiRd7NOXFxdnSNqRdIFgcZ+Xk74dWABcTFoe8d9ltAFpXAcCf4+IUjONhfLHs6VEH1pKlH+MtFyjWPEsN6QlNIdImt7HrOuoOtdtZPFSATMbcpJypBmm2yLiuxFxfnECVpCuxn55ts+0ElX9hXT1d2NWZpKkusIC2XrB/If7tnwlOdg2kT6ku2Z4svWhnypRNh90NZZZd36d5acL12tKmgu8DejI1u4OinJem4h4DLgMOEilbwWV7+dNwN+BoyXNKNheB5xEOmYXl9m1c0mfayUDQknTC34uNYabssdyj/vukg4tysvP8ndb+xoRj2R5RwALSbPGbWW288Ps8UuSaoo3Fq3vvoR0zE4sLKt0G7qtXgfStx8TJb2ioGwO+M8SZc/LHk/PyhT2oXDmctSc6zbyeMbVzIbD/sAser/tzwWkdYgLgBuAsyXNJH3dmP8POu8hrWE8N9tnPrBM0gWk2aCnSLNHxwDXR8Sdgz6SgTufFFBdJulnwPakIGZjibJ/Il1kdLykp0kz1A9FRHupiiPiCkk/Id1CaoqkX7DlFkEbSLdoGkzlvDaQArTfk8b8A9KM7PNIF+esBj4ZEZskLSTdDusGSctIY38P6bZZX4qIu8vpVEScL+n7wMIsUPsF8Agwk3Tx0gvZMpN4uaQnSLdk+gfpAq6j2HLVfDluA34k6WzSrOh80m2hriJd9V5sGenK/IOBH0TEkyXKlBrXDZJOAT4P3CLpp6Sv33ckne9vJl3JT0T8RdK3SMe+PXtv7JA9/yNbz4AvA/4LuFDSN0hf6b+TEvFBRPxU0o+Bfwd2lXQJad33bqRZ0LlZ0dF0rttIU+nbGjg5OY3+BPyUFBDs0Ue5O0kfXM8j3YHgEuCfpAs8HiYFBO8oKD+HdG/GP5NuCbQ++/kLwKSCcs30fDusxSX6sZLStwg6iq1vc7WY8m6HVQN8GrgnG88a4HTSV55b9YMUjNxE+jAOYGVv/SYFGp/Mxp+/IOai4mPex7i3GksPr1Ofr01B2Z2y1+jvpKDoQVLAu19RudeTLtJ7MhvzzcAx5b42RWXeT7oDRL6u1aTbX72noMyxWXsPZP26n7RkYH6Z53SQvv5/I+meps9kYzuL7NZUJfYRW5ZQvG4A76O3kJbBPJYd93+QZrU/UlQuR7rn65qs3O2kOwKUfH2zc+2WrOx9wFdIt9UqdZ7lSEHiTaRZ43Wkr+xPGY3nutPIS/n72ZmZmdkQk3QH6f6qL6p0X8yqkde4mpmZDQNJbyBdQLSs0n0xq1aecTUzMxtCWcD6AtLX5xOAF0TEusr2yqw6+eIsMzOzofU54LWkC5E+4KDVbOA842pmZmZmVcFrXM3MzMysKnipgFmVmDZtWjQ3N1e6G2ZmNoLceOONj0REU6X7MVwcuJpViebmZlatWlXpbpiZ2QgiaU2l+zCcvFTAzMzMzKqCA1czMzMzqwr/n707j6+rqPs4/vndJE2LhdJAoUiXBMoSUtYWBUVWoeyUTR8WtVCKVIuKgFirUtxAoC4oTysgVJT2UQERkUU0LVA2KUQIoCkAACAASURBVCCLLIpaZKdAyxKgKeX3/DFz05PTu2W9uc33/XqdV3LmzJmZM+fe5nfnzpwqcBURERGRiqDAVUREREQqggJXEREREakIClxFREREpCIocBURERGRiqDAVUREREQqggJXEREREakIClxFRERKUFdXh5l1emPmkC6dn9zq6urK3R3Sz5jZ5Wb2spk9mue4mdlFZvaUmT1sZjsljo0ysz+Z2eNm9piZ1cf0n5vZQzH/1WY2uFg7FLiKiIiUYNmyZbh7pzegS+cnt2XLlpW5N6QfmgvsX+D4AcAWcTsZmJ04diVwgbs3Ah8CXo7pp7n79u6+HfBfYFqxRlR3vN0iIiIi0p+4++3ZkdI8DgOu9PAp7R4zW9/MNgGGAtXufmss561EmW9AGK0FBgFerB0acRURERGRrtoUeCax/2xM2xJYbmbXmtmDZnaBmVVlM5nZFcCLwNbAT4pVosC1B5jZ183siXK3Q0pnZvubmWfn16T3RUREpCDLkeaEb/c/BpwB7AxsBkxqy+B+AvBB4HHgk8UqKTlwjX/EC21zSy1L+j4zW9fMzjezf5nZu2a21MzuMLOjyt026VvCNzwisrbQe1o66VlgZGJ/BPB8TH/Q3f/t7u8B1wE7JU9091XAr4Eji1XSkRHXTRLblBxpX+xAWRXHzAaUuw1pZlbTg8X/nDBf5VTC8P3+wP8BG/RgnSIi0gfMnz+fgQMHtnuSwcCBA9luu+3IZDJrpE+YMIGxY8dSVVXF2LFjmT9/fofqyp47cuRIRo4c2VbOhAkT2toxcOBATj311E6V25U2Zc/tSnn9xPXAp+PTBXYBXnf3F4D7gKFmNizm2xt4LOYbA21zXA8Bin9b3cmVkUeFU9dI/z3ww8T+LMIw8fZx34ClwJFxvwr4FiEaXwH8DTiwQL0ZwvyJaan0sbGebeJ+HSHwWgq8ATQDOyTyb0yI7J8D3gYeBY5LlXkP8OO4vQLcUaBdXyeskHsTuBz4LvBEKs/J8Ya8G39OAyxxfBvgznj8MWBf4D3gf+LxreM1Hg3cFvOdFI/tDiwC3on98xNgcKrfZgD/iXkeBj5R4Hos9svxRV4Hg4Cfxn5+N7Z/l8Tx/WOb94339h1gAeGDzsdjv79J+PS1fkf6K097DgMWx3NeieVWx2MbAlcBy+K13QJslaOtg3Ptl9jP6wHzgBbgBeB04M/AnESegYT3xXMx373A3qW878aNG+d9EeHfApG1Xpdf62ev1z0N8Z593wFeU1PjgA8aNMjPOeccHzhwoMd/E33EiBFuZv6Rj3zEAR8+fLgDPnHiRG9tbfXm5mZvaGjwefPmFa1r3rx53tDQ4M3NzX7llVf68OHDfZNNNvErr7zSJ06c6IAfd9xx3tLS4rNmzfLq6mqfNm1ah8rtSpuy5w4bNsyHDRvWqfJ6GrDYu+lpFYU2YH7827aSELdNBk4BTvHVscPFwL+AR4DxiXP3jbHHI4SnEwyIscmdMe3R+Dd6vaLt6GTj8wWupwF/S+zfH4OaL8X9bYH3gQ3j/nRgOWFOw1bA92OHNBao+xzggVTaD4G74+9VwF9j0DKe8FiG84HXgGExT31s6w6EuRafJwSJuyXKvIcQVJ1LmFi8dZ72fJoQKE2O+c4hBMtPJPKcGm/y4UADMDH2SzbwrAb+CdwMbAfsRviE8j5rBq7/iuc3EOaEjIsB0BeAMcCuhODtV4n6ZwF/B/aL532GEHx9vEA/LyEEYesWyPOzeF37EwLvufF+Zu9vNvi7C/ho7O8ngdsJAd144MOxjAtK7a88bZkY7+FMoBHYHjgLqInHbyG8MXaLx24G/g3UptqaM3AtsZ/nxjL3JnyYuhZ4nfaB6zXAHbEdmwNfJnxoy/uaz24KXEXKq8uv9QoKXAEfPHiwNzc3u7t7c3NzW7qZ+axZs9zdferUqQ741KlTvba2tq2M5uZmb2pqKlpXU1NTWx3Z37Pn1tbW+tSpU9uVM2vWrHb1lFJuV9qUVV9f7/X19Z0qr6fRS4FrX9m6O3DdMQZbdcAQoBX4GvB7Xx2QPJLI/yrwlVQZ9wCXFah7FLCKOIIK1NA+CDyQEKQOSJ33BPCFAuVeB/w01Y77SuiLB4CfpNIWEQNXwieQF4GjU3m+SgzACSOFrcBGieN7x38k0oHr51Pl/Aa4OJW2S8y7HrB+LHvnVJ45wLUFrmsfwtyUlTFAuwjYK3F8KCFQ/EQirYYwEvn1uJ8N/vZI5DmDxOh4TDsv+8Yrpb/ytPd+YG6eY9vGOj+USNuAEIgen2prvsC1WD/Xxf6YmDg+hPDhZ07c3ya+djdOlXMz8IM8bT859v/iUaNGeV8U+0Cbtn6xdUk3B669sbW2trq7e2tra7v0lpYWd3dfvny5A20/s1pbWz2TyRS9jkwm01ZH9vfsudlyk+W0tLSUdB+S5XalTVlmtsa5pZbX0+hngWt3P1XgIcKI2x6Er1UfBX4H7G5mGWBPYCGAmW1E+GN/Z6qMRYQ/8JhZs5m9Fbf7Ca/W/wJ/Ak6M+Q8lfGX967g/jhAwvJY49y3CKNnmsdxqMzvbzB4xs9fi8YMIQXHS4hKueWvg7lRacn8EYWrCL1LtmZltTyxjibu/nDjv3jz1pds0DjgpVfZf4rHNCUFbDbAgleeERP1rcPe/AKMJX+lfAzQBzWb245hlC8Lo9p2Jc1bGdm+TKu7hxO8vEQK8x1NpG8XfS+mvduLcmO0T153WSAje70u09dXYhnRb8ynWz9n++GuijtdpP19nHOGrkX+lytkn37W5+yXuPt7dxw8bNixXlj6h3P+QadPWG1tf09PXOXjwYBYtWgTQ9hPC4q05c+YAMH369LaftbW1bXkWLVpEY2Nj0WtobGxsKzv7e/bc2tpapk+f3q6cOXPmtKunlHK70qas0aNHM2pU+xCh1PKke3Xrf0Dg7u+b2R3AXoSRugXu/riZrSCMxu5OmA8Bqx+bkOtfg2zapwlzAiEEHlmXAZeY2ZmEAPY37v5mPJYhfM28T45yX48/ZxCmB3yJ8BV6C+Hr9PS7oSX/1bYFTMVkPxycQBgVTHo/WxS5+yGXdJsyhDkl/5sj7zOEUUEII4gvpo63UoCHQPS2uJ1rZt8BZpjZeZR2/7JWpo6t8vZ/BZzV/VRKf3VUoftUar8X6+cdSygvQ+iLHXPkK/haExHpTTU1Nbz11lscdNBBfPWrX+Xcc89tO7bppptyxhlncM0113DXXXcxfPhwZs+ezcSJE1m5ciWLFi1i8uTJfPe73y1az4wZM5g8eTI///nPOeusszj22GMxM77//e9z7bXXMnv2bI477jjefvtt5syZw1lnncUpp5zSoXJ32223Trcpe25LS/gnesGCBR0uT7pZJz+N5ZwqEI+dRphoez9wSEz7NWH+X9v81pj+CrmnClxapP4aQhD2Jdacm3oIITgYWeD8W4GfJfYzhNG3m1PtuLCEvngAuCiVdgerpwpkCFMZphco4zDCPMdhibS9CMFNeqrA2NS51wC3FCi7LvbHMd3wKfzY2IYxFJ4qMCPu51rgdDzwbqrcLwHPltpfedrW2akCx+Vqa479Uvr5PeCwRNp6tJ8qkG3Hrp3pf81xFSmvLr/WK2iO67x587y2trbd9IDa2lrfdttt3czWSN9vv/28qanJM5mMNzU1dWjR0rx589rOHTFihI8YMaKtnP3226+tHbW1tSUtzMpVblfalD23K+X1JPrZVIHOBjCFAtfsPNdWYEhMmxr/qD+SyvtVwtSCowkLm86jyOKsxLnfj8FeevV+FeHr6gcJi5HqgY8A3wE+HPNcTFh8tCvha+RLCaOxnQlcP0NY6HRCvIazWXNx1rQYJJ0a82xLePjumfF4dnHWjYTFWR+N1/A+8MmYJ1/gOi72w0WExU9bEKZPXJzIcyHhqQefJnwlvSNhxPnEAte1CDgp5q0HDgaeInztbzHPHEKgOoHCi7NKDlxL6a887T0ivsbOjvd0LGE+bXZx1s2ED1QfJUwruImwkGpArrbm2C+ln+fGPtqTMLXiasLranYiz9Wx3uzCs50Ji8gOKfZaU+AqUl5dfq1XUOAqlYN+Frj2xP+clZ3n+rCHOX4QHoFURZzfmnABIRD4EWE+7AGExS2PU9zPCY9TuDyZ6OEhtvsRVrLPBf5BeP5oA6u/Kj+bEIDdGtv0MiGg6DB3/wUh4D6fMOq3GeERUck8PyUE75MJwdNthCkO/47H3yOMuq5PmId5GeExYRCeWFCo/vsJc4obCcHmg4QgPTkt4CuxjV8jjCzfQgi6/pPNYGb3mNnNiXOy84j/TJin+ZP4+/7xjQJhdP164FeEkect4/FXCrW5mGL9leecawlPp5hIePTWAkKQmm3r8YR7/kfCHOQMcIC7F5wukSi/lH7+AuH+3Ujoq7sIr+vkPTyO8LSGHxCesHA9YTrHf0tph4iISH9mq2OQymJmexACz1Hunp67WfHM7MOEUd+x7v73Hq7LCM9m+767/7An6+pPzGwQYb71N9394q6WN378eF+8uJT1giLSE8yMLv3NnDkEZr5ePF9vtEXWGmZ2v7uPL3c7eku3Ls7qDWY2kPBfin0L+PXaErSa2dGEh+M/Rfg6/0fAX3s6aI12Isw3/kkv1LXWMrMPEUb2FxOebDGDMO+3U6P5IiIi0l5PTBXoaZMIX12vQ/gKfG0xhDBn9AngSsJX0Qf3RsXufr+7j41TFqTzjDBf9SHCVIH1gY+5+0tlbZWIiMhaouJGXN19DiHAW6u4+2WEua1Sodz9XsLotYispUp7CmJufvZ6XTo/aejQod1SjkilqbjAVUREpBy6Y06pz+x6O0T6s0qcKiAiIiIi/ZACVxERERGpCApcRURERKQiKHAVERERkYqgwFVEREREKoICVxERERGpCApcRURERKQiKHAVERERkYqgwFVEREREKoICVxERERGpCApcRURERKQiKHAVERERkYqgwFVEREREKoICVxERERGpCApcRURERKQiKHAVERERkYqgwFVEREREKoICVxERERGpCApcRURERKQiKHAVERERkYqgwFVEREREKoICVxERkRLU1dVhZt22MXNIt5bX1a2urq7cXSxSVHW5GyAiIlIJli1bhrt3X4Ezh3RveV1kZuVugkhRGnEVERERkYqwVgSuZjbXzG4oU90LzeynXc2T4xw3s6O61roO1dcrfVjOe5WPmb1lZpPK3Q4REREprGjg2pcCDTOrjwHd+HK3pYOOAKaXuxHSe8xsppk9Wu529Hf66lOkb9J7UzpLc1x7gbu/Vu42rM3MLAOYu68qd1tERESk53R5qoCZDTGzS8zsZTN708xuS46IxuO/jMffNbN/m9mXEsc/a2b/iMeWmtktZpYvoP5P/HlfHHldmGrLF83sOTNbZmZXmNk6iWP7m9kd8dhrsZ7GxPHsaO6RZnarmb1tZo+Z2b4ldEPGzL5nZq/E67wwBlPZsttNFTCzjc3sejN7x8yeNrMTzOxRM5uZKrfOzH5rZi2x344v1Agz29bM/mJmb8R78ZCZ7ZU4vnWs9/X49fjdZrZtB/qw1sx+ZGYvxft1j5ntljp/dzO7Nx5/ycx+aGYDSujDZBkHmdmTsYzbzex/4r2pj8cnxfYfGEc1W4FGM9vZzP4U78MbZrbIzHZNlT0m3o93Yx0Hp47nHNW31NQNMzsvnv+OmS0xs/PNbGC2fcDZQFM8z2Na0feLiEh/UVNT0/ZEgw022ID58+cDMH/+fAYPHpzzyQcjR45k1KhR7dK22247JkyYQCaTaUvL/l5TU8MGG2xAVVUVY8eObVfH2LFj29JPPfVUxo4dSyaTYeDAgWQymXb5pQ9x94IbMBe4Ic8xAxYBfwQ+BIwBvg28AWwS8/wE+Fs8Xg/sCRwdj40H3gOOA0YD2wOnAdV56tsZcGACMByoS7TxdeBSoBHYD1gOTE+ce2TctgC2A34DPAUMiMfrY9lPAIfEfL8AXgUGF+ifhbHubwFbAp+I13RMKs9PE/s3Aw8BuwI7AH8B3gRmJvI48CxwfOzXcwkB2ugCbXkE+BWwdTzncGDXeOyDwCvA7+O92DKWvUMH+vDHwAvAQTHPpcBbiXu9KdACzInHDwZeBGaV8nqKx0cBK4AfAFsBRwH/jf1RH/NMin18F/DReC3rAnsDn4p1bw38FFgGbBjPy8Q+uh3YMZ67GFgJTEq9Dsan2uXAUYn9b8Tz64EDYxu/HY8NAi4kvJaGx20QJbxfCm3jxo1z6Rig3E2QtUi3v57OXq97y+ui3nq/TJs2zQEfOnSo33jjjX7++ed7VVWVr7vuuj5t2jQfOHCgA77PPvv4uuuu6/HfX99pp528qqrKAd9xxx196dKlfuihh7Ydnzp1qp900klt+01NTV5XV+eZTManTp3qzc3N3tDQ4NOmTfOGhgZvbm721tZWnzFjhldXV/vEiRO9oaHBZ82a5fX19T5jxgxvaGjwefPm9Uq/dBaw2Iv8/Vibtq4GrnvHwGVQKv1vwFfi79cDV+Q5/4gYLK1bUmPzBxVzgWdIBLwxqPpzgbI+AKwCdkuV/dlEnk1j2m4FylkI3J1KuxW4LJXnp/H3rWKZuySOj4xtmZlIc+DcxH418DZwfIG2vAF8Js+x7wJPEwP1PPc5bx/G/moFPp04XgX8C/hOoo6ngEwizyRCILpOsddTPH4u8Djhq/9s2tdYM3B1YFyR14sRAu3j4/5+sZ9HJfLsFsuaVOQ11i5wzVHXKcBTif2ZwKMdfb8U2hS4dhwKXKUbdfvrqZ8GrrW1tQ54c3NzW9qsWbO8pqam7djUqVO9qanJ6+vrfdasWT506FA3Mwd84MCB3tTU1K7d2bbX1tb6rFmzfOrUqW11zJo1y2tra93dvbm52Wtra9vV3dTU1JYnm97c3OxNTU1tP/syFLjmDGjyBa5nAu/HP8bJ7T3gZzHPAYRRuIcIo1B7JM5fF3iYMBJ4FfAZCgSxBYKKucAtqbRzgIcT+5sD82Kg9UZspwPHpsreNXGOxbQjCrRpYfZaE2m/AK5P5ckGrofF4Kk6dc4zrBm4HpPK8zTw5QJtmUkYPWwGZgBbJ47dCFxV5D7n7UPCKLUDm6fy/Aq4Nv5+LfDL1PEx8bztir2e4vHfAVem0vZhzcB1JVCVyrcR8DPgH4QPRG/Fvv5aPP5F4L+pc2pinklFXmPpEdejCKOnL8Z63gFaU/ciHbgWfb/k6I+TCaPCi0eNGuXSMfG+adPWbVu36oOBa29ura2tbXW3tLS0O7Z8+XLPZDJuZmscAzyTyazR7uzvLS0tvnz58rY6sue7u7e2tq5RdyaTacuTTW9tbfVMJtP2sy+jnwWuXV2clQFeAj6W49gbhFfKTWY2mhDA7gP80cx+6+4nuPubZrYTsDuwL2Hl/ffMbGd3f76DbVmZ2nfaz+H9A/Ac8Nn48z3gMSA9/7KtHHd3Cysfi80FLlZ3UkeWUnakXNx9ppldRejrCcDZZnaKu19eYr2F6rNE2hpVJ/LkOp7vvFwKlZG0wtdcjPULYGPCdJMlhJHev7D6HpfSB++n85pZTbsGmu0C/B8hsD+NMKXiUMIHs0KKvl/S3P0S4BKA8ePHl9qHkhD+XRfpOusHK+F74/0ycOBAVqxYwaJFi9hrr7AMY86cOdTU1JDJZFixYgXTp0+nsbGRlpYW5syZw9ChQ1m+fDnuzsCBA9l8881zll1bW8ucOXN46qmnAFi0aBEPPvggtbW1bfu1tbXt6m5sbGTOnDnt0hctWkRjY2PbT+k7uro46wFCoPC+uz+V2l7OZnL3V9z9l+4+CZgMfMbMauOx99y92d2nE0b1PkCYG5lLa/xZ1ZFGmtkGhHmP33P3P7v744TR3nI8VeFxQr+PS7RvBGEOape5+z/d/SJ3Pwj4OXBSPPQAsFtHF0olPEXo/7bFWGZWRZin+1hMegzYNbkwLeZvJYx0l+JxwlzmpA+VeO5uwE/c/Y/u/nfCvOFNEscfAzY1s5GpspPtXRp/Js/bIVXPR4Hn3P3b7n6fu/+TMEc7qZU1X6clvV9ERNZmU6ZMAeDII4/kpptu4oILLuArX/kKAwcOZMqUKQwcOJDZs2czfPhwXn31VU4//XSWLVvGjjvuSFVVFe+++y4DBgzglVde4bDDDmsr93Of+xyf+tSnOP3005k9ezZNTU0cddRRnHnmmZx44oksWLCAyZMnM2XKFCZPnsyCBQtYuXIlEydO5KyzzuKAAw5g8uTJ/OAHP+DEE09k4sSJTJ48mRkzZpSrqySXYkOyhK92byf88U5u9YRRqTsIC14OABoIgcw5wMfi+d8CJhIWOzUCvybOBSQEqF8kLJQZTfgKeFX23Bxtyc7z/CYhABiSaOMNqbwziV/VEgKTpYSpAmOAPYC/0olFOTnatJDEwqtc7UnnISzOehDYJfblrYQg6+xC9RJGEc/I045BwMWExW/1wIfjfbksHt+UsNDsOkJgOAY4hvaLs/L2Ydz/EfA8YTFSI2EksNDirIPo+OKs0YSR0gsJ84GPiNftxIVp8XXyVo5z7yeMsG4Tr3FBbN/MxOvg7zF9B8Jrtd3rIOa7G7gTaAI+AtyWvB+ExXvZRYWbAVMJry9PlHEs4bW6E7AhUEsJ75dCm+a4dhzd/dWu9Gvd/nrqg1MFerOu6urqtq/56+rq2hZBzZs3zz/wgQ/knF4wYsQIHzlyZLu0bbfd1vfbb7+2ObBA2+/V1dVtC7Sampra1dHU1NSWPm3aNG9qanIz89raWjezdvn7MjRVIKePEQKtpGvc/SgzOxD4DmEhz0aEr0LvBK6M+VYQFu00AO8C98Q//BC+Yp1ICETXIYzKneTud+RqhLu/Z2ZfiPnPjkHAnsUa7+7vm9kngYuARwmjh6cD1xQ7t4dMIvTXQuBlwvVsRuifzloFDCV8XT6cEKTeAJwB4O7PmdnuwAWEwM0JAdTJHajjrPjzCmB9wmtif3d/IVHHAbGOvxHu7zzC4qqSuPvTZnYk4akC04D7CIHd5RTvnxMJwfT9hAB7JjAsUfb7ZnY4oe/vJTwJ4PTYxnQ5l8W6/wV8jvDhLVvOH8zsAkIgPwj4E+Ee/m+ijGsIQfdfCH11grvPLeH9IiLSL6xcmZ6dFhxzzDEcc8wxPVp3b9QhPcNCsC7lZGYbEgKtY9y9XMF0n2VmXySM3A919/eL5V9bjR8/3hcvXlzuZoj0W2ZGt/7NnDkEZr7efeV1Ubdfn/QKM7vf3fvN88D1P2eVgZntTZhj+whh1O27hCcr3FzOdvUVZvZ5wmjnUsJ0im8Ac/tz0CoiIiIKXMulhvB18WaEeZD3Aru7e0tZW9V3jCFML9iA8J8wzCGMuIqIiEg/psC1DNz9FuCWcrejr3L30wiPmRIRERFpo8BVRESkRN35LFc/e70+9WzYoUOHlrsJIkUpcBURESlBTyxc8pndXqTIWq2r/wGBiIiIiEivUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIFFFXV4eZlbwxc0iH8me3urq6cl+qSJ+mwFVERKSIZcuW4e4lb0CH8me3ZcuWlflKRfo2Ba4iIiIiUhEUuIqIiIhIRVDg2gvMrN7M3MzGd+CcSWb2Vk+2K0edbmZHrS31lMrMjjIzL3c7REREpDAFrl1gZnPN7IYc6eNjcFYfk54BNgH+1ovNkzIzsyVmdka525FkZuVugoj0Ir3nZW2jwLUXuPsqd3/R3d8rd1vWVmY2oNxtEBHpSyZMmACQ8+kFVVVVbb9nMpl26RtssAFVVVWMHTuW+fPnt5U3f/58xo4dm/NYUin50nlOPfXUgvv56upuudqe73pK7Q/pZp1Z9aitbdXoXOCGHOnjAQfq43593B+fyHMQ8CTwLnA78D+pcyYBbwH7AI8CLcACoKFImz4L/COWuxS4BahOHP8M8AiwAngJmJs45sDJwG9jff8Gjk+Vvy3wZ+Ad4LXYB0MSxzPANwijzCtiXYelynDgqALXUA38EFgWtx8Cs4GFiTwLY9qF8Trvi+lfBh6O7X8OuAxYP1X+p4GngbeBG4DPh7dC2/GZwKOpcyYBbyX2Nwd+D7wY63oAODjVPk9uiWMfAW6L9T8Xr2O9Yq+3cePGeVfFdohIB3X4vXP2er1TTx777bdfu39/qqqqHPC6urq2tEGDBvmAAQMc8HXWWccPPvhgz2QybmY+depUb25u9oaGBp83b57PmzfPGxoavLm52VtbW9sdSyolXzrPjBkzvLq62mfMmJFzP19d3S1X24cNG+bDhg1b43qmTZtWUn/0BmCx94GYqLe2sjegkjc6GbgCo2JQ9wNgK+Ao4L+sGbiujEHih4DtgAeBWwq0ZzzwHnAcMBrYHjiNGLgSgtp3Y3C3FTAOODNxvgPPAscDY4BzgVZgdDy+Tgy0riMEsHsQguRrEmWcBrwBHAtsCXwLWAXskKqnUOD6VULAemRs54+B11kzcH0TmAVsDTTG9C8Be8c+34MQxP4ycd6HgfeBGbF9nwVepeOB6/bAKbEfxsTyWoGt4/E6QvB+DjAcGB7TtyV8IDkd2CK2527g6mKvNwWuIuXT4fdOmQPXbPAJ+PDhw72+vt4PPfRQB3zo0KFeVVXlNTU1DvjUqVO9vr7ea2trfdasWT58+HCvra11d/fm5mZvamrypqYmb25ubldH9lhSKfnSeZqamnzWrFltedL7+erqbrnaXl9f7/X19e3Smpubvba2tqT+6A0ocNVWcueFwPW9GIgkt7cpHLieCzwOWKKsr7FmsgykWQAAIABJREFU4OrAVok8x8XgKJOnPUfEAG/dPMefBc4rcD0OnJvYr47Xcnzcn5IuH9gznjcm7j8HfDNV7kLgV6l6CgWuLwBfTewb8ARrBq4Pl3CP9id8SMjE/XnArak8l3U0cM1T1z3A1xP7S4AzUnmuBH6eStsh9slGOco8GVgMLB41apR3FalRYG3atJW+dUgXAtfu3rKjqEuXLnXA42LUtm358uWeyWQc8JaWlrbf3d1bW1s9k8l4JpPx1tbWdm3NHksqJV86TyaTaas3136+urpbrrZn+y6ptbXVgZL6ozfQzwJXzXHtutsJgUdyO7bIOVsTvtr2RNq9OfKtcPcnE/vPAzXA+nnKvZXwFfh/zOwqM/uMma0LYGYbAZsCfynStoezv3iYk7sU2CgmNRKCxTcT+e8ijGBuY2brAR8E7kyVuQjYpki9xHYOIYxQ/jXRDgfuy5H9/hzn721mt5rZs2b2JnAtMCCWmb2Gu1OnpfdLaecHzOx8M3vMzJbFJ0CMJ4ymFzIOON7M3spurO6vzdOZ3f0Sdx/v7uOHDRvW0WbmVO5/dLRpq8StN3VHe82MqVOnArDRRhsxevRoJk+eDMD6669PVVUVNTU1AEyfPp1Ro0ZRW1vLnDlz2GijjaitrQVg0aJFNDY20tjYyKJFi9q1M3ssqZR86TyNjY3MmTOnLU96P19d3S1X20eNGsXo0aPbpS1atIja2tqS+kO6nwLXrnvb3Z9KboSRzUKM8Em3mPRiruw5Oe+bh4ByJ+AThKkH04EnzOyDsc5SrMxRZ7a+Qu32PL8XSiuklPwtyR0zGw38kTCafTQhSDwxHs4u3iqlH97Pka8mtX9hrOMbhCkJOxCC7WKLxDKEEd7kB53tCdMG9NQJEekW++67L7NnzwbgxRdf5JlnnuH666+nrq6OZcuWsWrVKqqrqxkwYACzZ8/m5ZdfZt999+XMM8/kpZde4sQTT2TBggVMnjyZGTNmMGPGDCZPnsyCBQtYuXJlu2NJpeRL55k4cSJnnXUWEydOzLmfr67ulqvtLS0ttLS0rHE9U6ZMKak/pAeU+1NsJW90fo7rucBjqXOmp86ZROqraVZ/Lb9hie0bACwHTo77pUwVOCqVtoT4dTddmyrwy0L1pPK/AJyV2M83VeCnqfOOJMynrUqkfTnVr/OAP6XOu5Q4sBv3pwKv0H4qx8W0n+P6CHBOYn8gay52+0fyOmLaVcnr6MimOa4i5dPh906Z57i6r7lAK7llpwOQmjqQyWS8rq7OM5mMNzU1rbGoqqmpKeexpFLypfNMmzat4H5vLXrK1fZ811Nqf/Q0+tlUgbI3oJK3LgSuownzLi8kLD46IgaIzuqFUB0OXIGDgS8CO8Y6JsVA7mPx+FTC4qzTCAuTdgBOT5xfLHBdhzBd4XeERUa7E56MkFyc9SXC4qxj6NrirFeBw2P//IAQMC9I5FnImoHrdrHs04GG2Ib0orddCCOq0wmjnFMIQaonymlk9QKuzYHJhKA0GbheQ5hWsVPsi6tjG+cm8vyJ8NSCTbP3LLbxbWBOvE9j4n37WbHXmwJXkfLp8HunDwSuPVGe9D30s8BVUwXKwN2fJowOHgo8RAgkz4mH3+1C0cuBiYQnETwBnAGc5O53xHpnEx79NIXwiK2bgaYOtPttYAKwHuFr8d8T5oeemMh2EXABcH6s43DgSHfvyNfgFwK/BK4gLHiCECwX7Bt3f5gQuH8ZeAw4idAHyTz3EALRqYTA8wjCYqxknsfj8ZNjnn2B76Wq+zLwMnAHcFNs5x2pPN8ERgL/IswVzrZxd8KHmdsI9/9cQmAsIiIiBVgI1qXczOyLhNHJoe7+frnb09eY2QPAne5+arnbUi7jx4/3xYsXl7sZIv2SmdGhv5czh8DM13u+Hun3zOx+dy/5v5SvdNXlbkB/ZWafJ6yUX0r4+vobhK+Z+33QGhdZTSCMSFYTRj63jz9FRESkn1LgWj5jCM9u3YCwaGoOYcRVwvzSTxOmHGQIX/sf4O4abhQREenHFLiWibufRpjbKinu/gywW7nbISKSZFbqUwXBz16vQ/mzhg4d2uFzRPoTBa4iIiJFdGbeqc/s/naI9Hd6qoCIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIiIiIhVBgauIiIiIVAQFriIiInnU1dVhZp3amDmkU+fV1dWV+7JF+iwFriIiInksW7YMd+/UBnTqvGXLlpX5qkX6LgWuIiIiIlIRFLiKiIiISEVQ4JpiZkvM7IwulrGnmbmZbdhd7eouZnaUmXm52yF9j5mVuwki0s30vpa1TcUErmY2NwaD2e0VM7vBzLYud9t6UrzW+nK3Q0RERKTcKiZwjf4MbBK3/YBBwO/K2qIeYmYDyt2Gruhr7S93e8pdv4j0X2PHjqWqqoqxY8cyf/585s+fz9ixYzEzMplM3qcbZI9lf2bPB9rKSJabVehYWrG8yeMjR45k5MiRBcvtSN3dcV6pOnodUkBnV0v29gbMBW5IpR0MODAokXYe8CTwDrAEOB8YmDrvIODemOdV4A/ZPPGcrwM/A94AngXOTJ0/BLgEeBl4E7gNGJ84vmds14aJtCOAR4AVwDPADMASx5cAM4HLgeXAb2O6A/Xx9xrgIuD5RDnnFem3TwNPA28DNwCfD7e9XZ5DgPuBd4H/AN8FBiSObwxcH/vraeAE4FFgZiKPx7KvBVqAC2P6NsAfYz+9DMwHhqfqPwF4LNb/D+A0IFPkuj4LPAW0xp9TUsdztidHOQuB2cAs4DVgKfBFoBa4ON6L/wKfSp23LeGD1DvxvLnAkPTrFTgrvoZejukDgO/HtBbgPmBCKe+BcePGeU+KrwsRSejS++Ls9Xq/zoR58+Y54M3Nzd7a2urNzc0+bNgwHzZsmE+cONGrq6t9n3328fjvpZuZDxo0yGtqahzwESNGeFVVle+zzz5eXV3tEydO9IaGBp82bZo3NDS0K7ehocHnzZvn8+bNy3ssV/sK5U0ev/LKK3348OG+ySab+JVXXpmz3I7U3ZF2dMd9SF7HJpts4sOHD897HR0FLPY+EKf11lb2BpTc0FTgCqwL/BJ4OJXvG8BHgXrgwBh0fDtxfH/gPeA7MajaDjgDWCceX0IIZqcBY4BT45t613jcgEUxGPtQzPNtQpC7ScyzJ4nAFRgHrALOAbYEjgPeAk5NtGtJLOMrscwtYnoycD2dEKzuDowCPgKcUKDPPgy8TwiStyQEe6+SCFyBCbHeE4DNgb0Igf+FiTw3Aw8BuwI7AH8hBKIzE3mcEJieBGwGNBBGxl+JgVpj7Os/AH8lBqbAFOAF4Kh4ziHAi8C0Atd1OLAy3qMt4z1aCRxSqD15yloYr38msEXsYwduIgSw2fu7AvhgPGcd4DngOkIAuwch4L4m9Xp9E7gKGAtsG9OvAu6J93CzeA2twPbF3gMKXEV6X5feF2UOXJuamtYoq76+3uvr6722ttZnzZrlTU1NXl1d7RtvvLFvvPHGXlNT4zU1NT548GA3s7Y8s2bN8traWm9ubm77mdTc3OxNTU3e1NSU91iu9hXKmzye/T15PF1uR+ruSDu6qqPX0VEocO2bWwwE3osB31sxuPgvMLbIeacATyX27wT+r0D+JcD8VNo/ga/H3/eO9Q9K5fkb8JX4+560D1yvAppT+WcCz6bq/UORa7mIEDRaoXyJ/POAW1Npl9E+cL0d+EYqz8R4jQZsFa9ll8TxkYRAfGYizYGfpMr5FvCXVNrQmPdDcT/XaOaXgMcKXNedwOU5Xh+LCrUnT1kLgbsT+0YYdb0+kVYTg8uj4v4U4HVg3USe7D0fk2jPUqA2kWdzwgeJUak2XAf8b572nQwsBhaPGjXKe1JsvzZt2lJbp3UhcO2p9mcyGY8LdL2lpcUzmUzBc7N5WlpaHPDW1ta2n0mtra2eyWQ8k8nkPZZWLG/yePb35PF0uR2puyPt6KqOXkdH0c8C10qb43o7YcRvB8JoYjPwJzMbmc0QV80vMrMXzewt4IeE0cmsHQnBXyEPp/afBzaKv48jjLgtNbO3shthVG3zPOU1EoKtpEXApma2XiJtcZF2zSVc+z/M7GIzO8jMCt3DRuDuVFp6fxwwI3Ut84APAMOBrQnBVlvb3P0ZQp+kpds/Dtg9VfYz8djmZjaMEAT/LJXnPPL3Zfa6cvXnNkXak0/b/Y7/CLxMmNaRTVsJLGP1a6CRMNL/ZqKMuwj9lGzDo+6+IrG/EyEwfix1vQeR53rd/RJ3H+/u44cNG1bi5XReuf9B0qatr23l0h1tb2pqWqPcUaNGMXr0aGpra5kzZw6NjY1UV1ez8cYbs/HGG1NTU0NNTQ2DBw/GzNryzJkzh9raWhYtWtT2M2nRokU0NjbS2NiY91hasbzJ49nfk8fT5Xak7o60o6s6eh1SRLn/UejAPx5zWXOOaxVhZPDbcX8XwqjsN4CdSXz1mzjnbVLzIVNlLgHOSKUtBH4afz+L8NX2mBzbRjHPnoRPq9kR1weBb6XK/HjMs26+evO0b13gaMK8zFcIQXjO+aCEUeB0vZNT/fEOMD3P9VQTRl9XAdWpcp5hzRHXo1J5biKMJuYqe13C3FknzMNdI0+BPngNODGVdhLwaqH25Cmr7d4m0trN341pbdMXCB+Gbk8dHxD76ZACr9dPEoLbxhzXu2mxtmqqgEjv69L7QnNcNcc1x3VojmsX48FyN6DkhuYOBDKE+Ymz4v7pwNOpPBelArVSpgoUClz3jcHHZgXK2JP2gWu+qQLPFKq3hD75cKxnyzzH5wF/SqVdmqM/flGgjuxUgQ8n0kaQe6pAOnD9LmGaRU2B8p8FzungdeebKnBHofbkKaszgWupUwXSr9ctY569OvMeUOAq0vsqOXDNltXU1OSZTMabmpragsvs/NfstIFcW/ZY9mf2fHdvKyNZblahY2nF8iaPjxgxwkeMGFGw3I7U3R3nlaqj19ERClz76BYDgVsJX18PJ4xaXRyDyD1jnkMII67HERa+TCXMM/REOQfGoCu7OKuJsIo9uTirUOBqwB2Er5IPICwo2pWw8OpjMU82iMkGrjtlAz1WL856kzUXZxUMXIEvA8ewesTuxzGAWidP/l1i/0wnjD5PIYzSJvtjAmFh07cI0x22JiyUOj+R52bCqPEuhKkKt8b2n53Ikytw/SDha/drCUH2ZoSR5ktYPdJ8EmHU9zRCkDyWMAI7vUA/TIxt/ny8rnyLs3oqcF2HMFXid4TFWbsTFrSlF2fdkKO+XxGezHBU7I/xhMWBRxRrqwJXkd7XpfdFHwlcZe1GPwtcK22O68cJX9O/QHic1c7A0e6+EMDd/wBcAPyIMG9xX+CbyQLc/UbCqvQDCMHYbYSV9O+X0oD4IjmQML/2UkLA8htC0JVr3ifu/gDh6/0jCUHReXH7aSl1JrwJnElYlf8AIYg8wN3fzlPvPYSpAVMJ/XEEIXhO5rmFMMdyr1juX4GvEhZNZU0ijIwuJDwW6ypCQPpuoca6+/OEJzy8Twh+/074sLEibrj7ZcCJwKcITy64g7Ag6T8Fyr2OEKyeRniM1heBz8X73+Nif08A1iP01+8Jc4dPLOH0E4ArCI9pe4LwyKzdCcFsWYWXtoisTfS+lrWN6UUtHRX/K9vngWPc/Zpyt6e/GD9+vC9eXOp6MxHpDmbW+eBv5hCY+Xrv1in9jpnd7+7jy92O3lJd7gZI32dmexMWUz1CWFn/XcKUg5vL2S4RERHpXxS4SilqCHOCNyM8leFeYHd3bylrq0RERKRfUeAqRcV5sLeUux0iIuVgZp06z89er1PnDh06tFP1ifQHClxFRETy6OpcU5/ZPe0QkaDSniogIiIiIv2UAlcRERERqQgKXEVERESkIihwFREREZGKoMBVRERERCqCAlcRERERqQgKXEVERESkIihwFREREZGKoMBVRERERCqCdfV/BRGR3mFmS4Gnu6GoIcDrPXhesXyFjuc6Vkpaen9D4JWiLe0a9WP3UD92D/Vj96jEflzf3YeVUPfawd21adPWjzbgkp48r1i+QsdzHSslLcf+YvWj+lH9qH7sj/24tm+aKiDS//yhh88rlq/Q8VzHSknr7DV1hfqxe6gfu4f6sXusDf24VtNUARFZ65jZYncfX+52VDr1Y/dQP3YP9aOAFmeJyNrpknI3YC2hfuwe6sfuoX4UjbiKiIiISGXQiKuIiIiIVAQFriIiIiJSERS4ioiIiEhFUOAqIv2KmU00s0vN7Pdmtl+521OpzGwzM/u5mV1d7rZUGjP7gJn9Ir4Ojyt3eyqVXoP9kwJXEakYZna5mb1sZo+m0vc3syfN7Ckz+2qhMtz9OnefAkwCPtmDze2zuqkf/+3uk3u2pZWjg316BHB1fB0e2uuN7cM60o96DfZPClxFpJLMBfZPJphZFXAxcACwDXCMmW1jZtua2Q2pbaPEqV+P5/VHc+m+fpRgLiX2KTACeCZmW9WLbawEcym9H6UfUuAqIhXD3W8HXkslfwh4Ko6+tAL/Bxzm7o+4+8Gp7WULvg/c5O4P9PY19AXd0Y+93ug+riN9CjxLCF5Bf4fb6WA/Si+Ko+Fvmdn7ZtZqZjeljh8XR8TfM7NVZvaGmY2Pxz5tZh7PXWlmD8X0RjN7M6a/Z2bPmNmYQu3QG0ZEKt2mrB69ghAUbFog/6nAx4GjzOyUnmxYhelQP5rZBmY2B9jRzKb3dOMqVL4+vRY40sxm0w//y85OyNmPeg32ul8CtcASYCiwp5kdkjj+H2AgcDlwMLAM+E0cMT8beDsefwLY0Mw+CHwHWAE0xfNqgdmFGlHdfdcjIlIWliMt7/+s4u4XARf1XHMqVkf78VVAgX9hOfvU3VuAE3q7MRUsXz/qNdi7xgBvAm+7e4uZ3QZ8nvjhy93vMrMNCf/D2b8IMeYo4og5sLG7t5rZdYQBBIA9gFeB9YArgKOBlYUaocBVRCrds8DIxP4I4PkytaWSqR+7n/q0e6gf+4atCKOoWUuAj6TyvAhMB+4GXgE+CIwjjJgPNLPsqOtjQCuwHDgJuJEQsA4BCi4M1VQBEal09wFbmFmDmQ0A/ge4vsxtqkTqx+6nPu0e6se+oZRvZQ4HdgfOj/lXAe/FY6PcfR3gW0AjsFNMPw04BHgceAv4QqFGKHAVkYphZvMJn+S3MrNnzWyyu78HTANuIfzD9xt3/3s529nXqR+7n/q0e6gf+7QnCHNbs+qBF1J5VgFvAFsD+8a0h4CR7p4dJV9BGLndL5a3PWHUdSnwIGuO4rZj7nmnMImIiIiIYGa1hBHRZ4BtCVMBPunu18fjo4A7gOPcfZGZLSIEsvsQFm4dRAh+HyLMlz0K+BRhtHVhzDMYGOTuR+Zrh+a4ioiIiEgxc4F3gQZCAPsY8EEz+wfwG2A4sDFwu5lBGFndyN3fM7M/An+L5awC5rn7781sKXAkYXTWgXcITxrISyOuIiIiIlIRNMdVRERERCqCAlcRERERqQgKXEVERESkIihwFREREZGKoMBVRERERCqCAlcRERERqQgKXEVERESkIihwFREREZGKoMBVRERERCqCAlcRERERqQgKXEVERESkIihwFZF+z8zqzczNbGYPlD0zll2fSJsU0/bsgfp67FqkdPEezC13O/oKM1toZkvK3Q6pfApcRaTPMbOhZvZu/ON/fLnb09fE4HSmme1Q7raIiPSm6nI3QEQkh+OAAcB/gMnAr3q4vqeBQcB7PVD2d4DzgBXdWGY9cDawBPhb6lhPXouISFlpxFVE+qLJwALgR8AeZrZ5T1bmwbvu3u3Bnru/F8v27i47T309di2VyszWLXcbpPvpvvZPClxFpE8xs52AHYBfAFcBK4ET8uQ9yMxuM7NXzOwdM/uvmV1rZlsm8ow0s8vN7GkzW2FmL5vZXWb2mUSeNeaFJtPM7BNm9rdYx1NmdkLMM8rMrjaz18zsTTP7VfqPaa45rnmuZV0z+46Z3RuvZ0Ws6zwzWyeRbxIhqAe4IpbtZrYw37XE9GozO8vMHovTMF41s9+Z2bapfMnrPtjM7ov5XzCzC8yspG/qSrk3Md9wM7vIzP6duD+3mtm+qXy7x/TXY3kPmNnkHPUuNLMlZrZZ9t4AbySOm5lNNbP7zezteN8WmNleOcr6tJn91cyWm1lLbONVZjaslD6IZXzczO6Jdb1oZj82sw8kjn859vfHc5xbG19bfymhnnXM7AfxPr0d69zHzOaa2RofmsxsCzP7ZczfGvvsgmTbYr65sX1DzGx2vD/vmtmdZvbhHOUONbNL431vifdjXIF2j4+vw+xr/kkzm5F+nRW6r/GefsnMHo73841Yzs/NrKZY30ll0VQBEelrJgMtwDXu3mJmfwQ+Y2bfdPf3s5nMbA/geuAR4FxgOfBB4OPAGOAf8Y/frcCmwP8C/wCGANsBHyMEx8UcDJwSz38ttu9yM2sFvgc0A18DdgZOBN4FTurEdW8az7sGmEf4qn8P4CvAjsCEmO/2WO/XgEuAO2L6S0XKvwr4BKE/ZgPDgc8Dd5vZx9z9wVT+A4HPAXOAy4HDgDOAZbH+vEq5NzFfPXAnsDFwJbAY+ACwS8x7a8x3CPA74EVgFvAm8D/AZWa2mbvPSDVhMHBbLHsGsFHi2C+BY4CrgSuAWsLUlFvN7Ah3vz7WeTzh9XEH8E3gHWAUcEAsb2mhPoh2Ao4CLo3XtxfwBWCsme0bX8+/IPTnZODPqfMPB4YCPy+hrt8S7tl1sZwGQp/9J50xBpLNhPvyM+A5YPvYto+a2R7uvjJ12i2Ea/4WsAHwZeBGM6t39zdjuTUx386Efr6H8CH0z8CrOdpxYGzjU4T7+hqwa6xjB+Do1Cn57uvX4zl/ILxeV8XrP5Rwf9PXIpXM3bVp06atT2zAQMIfr7mJtMMABw5I5f1BTN+oQHnbxTxfKVJvfcw3M0daCzA6kT6MEJy+D3w5Vc61QCswOJE2M5ZTn0ibFNP2TKQNAGpytO3bMe+HEml7xrRJJV7LvjHt14Cl+uc94I48151sswGPAi+UcB+L3puY78aYb0KOY5n4s4owb3c58MFUf91JCFK2SKQvjGV+J0eZh8djJ6fSqwlB83+y/RPv5RtAdSdfyx63ian0H8f0/0mkzYuvqbpU3lsJ74eBReo6MJZ5aZ50T6U/BDwBrJunfyYl0ubGtP9N5T06pn82kXZyTDsnlfdLMX1JIm0g4YPI7ek+Bk5jzfdHofv6APBYZ+6TtsrbNFVARPqSIwgjTMmR0D8CLxNGM5Nejz+PLPD1dTbPXma2UZ48xVzn7k9nd9x9KfAkIXC9OJX3DqCGEPx1iLu3ehzlsvC1/lAz25DVo3BrfC3bAYfHn9/1+Jc+1vkwcAOwW46vv69z9yWJvE6YojDczAYXqa/ovTGzOmB/4GZ3vyV93FePro8jjHRe7u7PJ463AhcQprwdlqOKC3OkHU8Yrb3OzDbMbsD6hNG6emCLxDWsAxxkZlbgWgt50t2vS6WdF38enki7hNUjv0DbaPQ+wFXu/m6Reg6JP3+QTHT3G4HHk2kWpoZsRwiWa1P9sIjwgWW/HHX8MLXfHH9ukUibSPggMSuVdzaJ6RrRvoSR9iuA9VPtuDHmydWOXPf1dWBTM9stxzFZyyhwFZG+ZDLh68hnzWyMmY0hBBO3AofGP2pZPwUeJH6Fb2Y3mtkXkgFYDDi/S/gD+EKc13i+me3cgTb9O0faMsLIY/pJAcvizw06UH4bM/ucmT1MeALBa4S+WBgPD+1MmVEDIdB+PMexRxN5knJdd/br3mLXV/TeEKYMWMxXSLZdf89xLNv2zVLpS919eY78jcC6hGkVS1PbzJhn4/jze4SR3uuApWZ2jZmdZB1bELRGf7v7C4TR480SaQsJ0yeSc3ZPIPTPZSXUk72/T+U49mRqvzH+PIc1++BlwlSNjVlTu9eDu+d6LWxGeF+8kcq7In1+oh2X52jHE/FYuh357uvXCCPWd5jZc3Ee8rFmNiBHXqlwmuMqIn2CmTUQ5gAacQ5kDscTnjSAu78aA9CPEUZvdieMCp1jZge6+90x39fN7HLgoJj3JOBMMzvf3c8qoWmrOphOvIYOMbMvE0aq/gRcBDxPmHawKeHr2q4MNHRmxLDT11fivcmWUexpC51p+9sFyloKHFvg3EcB3P2fZrYNYdRzH8J840sJ17C7u/+rhHbku7Zc13QpcEGcf/ogYTrJYnd/qIR6Su3LZN5ZwM158ixLJ7h7vteDpX4v9Zqz+2ey5iPdsp5P7ee8r+5+t4Unj0wg/BuyF+Eef93MdnP31/KULxVIgauI9BXZEaYphBGptO8QRqR+lE2If0wXxg0z2w64n7BY46BEvn8DPwF+YmYDCQtIvmJms9z95R64ls74FOG5rAd4+0Vo++fI29FHa/2L8Ee9EXg4dWyb+HONRTxdUcK9+SfhOnYsUlQ2QGzKcSzb9lyjw7n8E9gSuMfd3yqWOY4U3hi37GKiPxIWJn2+hPq2SSeY2SaEBYLpNs8lfDswGfg9YXrEuSXUAeHeZQhf26dHebdK7f8z/lzl7unFYF31L2A/M1svOepqZrWEUeFkQJxtR0t3tCPez2vihpl9jjCVZzJhSomsJTRVQETKzswyhBGmR9z9Mne/Or0B8wmrsXeO52yYo6gnCKu/62KeIenH4cT5gtk/7l35+r27rSIEcm0jU3F+6Fdz5M0GXXUllp2dZzk9OV/TzMYSVl4vinN3u0Up9yaOgt0EHGC5HwWVbecDwH/PfYRGAAAgAElEQVSBE8xseOJ4DWG0zgmBXimuJPzdyxkQmtnGid9zXcMD8Wep/b6VmU1MpWVH+dvNfXX3V2LascA0wujivBLr+UP8eVoyMQbajam8DxJGlU8xs/QUi+z86lKvL+33hMV0p6fSpwLrpdJuIUxN+Gqu+sxsUKnTMrrpXkmF0IiriPQF+wEjKfzYn2sI8xAnA/cBl5rZCMJX69n/LeqThDmMV8Zz9gIuMbNrCHP93iIs9jkJuNfd0/P/yulqQkB1k5ldS/hDfyy5H+XzGGGR0efM7G3CCPXL7t6cIy/ufquZ/YbwCKmhZnYDqx+H9S7hMUjdqZR7AyFAu4twzb8gjMgOIixEWwKc5e6rzGwa4bFJ95nZJYRr/yThsVnfc/d/UgJ3v9rMrgCmWXhe8A3AK8AIwmOYxrB67umfzOx1wqr3ZwgLuCYRAuVfltgPjwC/MrNLCSOMexEej3Ub4QkPaZcQHll2MPCL9FzRAm4kBIJTEgv6Ggir/B8mLMYCwiI7M/sUYXHVw3Eazd8JC9HGEBZITieMAHfUFbHOb8apP3cTRtSPJozGtsUcHh5192lCsP5kbMdThH7eOrbjcFbP8S7kcTO7B7iXML1gk9iOVuD/OnEd0peV+7EG2rRp00Z4BqUD2xbJ9yQhSBtE+MN2PfAsYTHTUkJAcGQifwPhuY6PE1Y1t8TfvwUMSeSrJ//jsGbmaMdCEo/2SaRPYs3H+MyktMdhVREChqfi9TwNnE8YMVujHYRHHT1ACDwdWFio3YSg4ax4/dnFX9el+7zIda9xLXnuU9F7k8i7abxH/yUEGi8RAt59Uvn2ICzSeyNe84PASaXem1SeTxGeAJEtawnh8VefTOSZEut7MbbrBUKAuFeJr2knBH8fJwRU78Rr+wmpx1AlzjFWT6H4WAffQx8gTKN5KdZ1L7A34QPR2znyj479viRe36uEDw7nAiMT+eaSepxW+hpTaXWED6CvEt5vC4Hx+e4LMJbwXzo/l7j/dwHfIPF4sEL3lfCtxO2EEdwVhA8avwV26kgfaquMLfu8OhERESkzM/s7UOXuW3dTeY8Qng/cLeWJlJvmuIqIiPQBZrY3YUHXJZ04d1COtIMII5q3dr11In2DRlxFRETKKAasmxOmigwGNvf436h2oIxzCfNJFxAeyL8D4T/teAPYwd2f7dZGi5SJAlcREZEyMrOF8P/s3Xl4XVd56P/veyRFJsYJVqLYbjzIaSgoMhSIGUoZEiADlCEMZe7F3JQArdP7u0xtatq4FC6Q4g5cKG4YagLIlBvmqThFBBBDwQEapqZNwSkBAoE4CXFIFJL398feRzk6OZqPdLSt7+d51iPttdde+93rHB29WmedLR5G8aG7P8zMz8+hj8dRrPU8ieJ2W9dRfADrzzKz1T8mkCrJxFWSJEmV4BpXSZIkVYL3cZUq4thjj82BgYFOhyFJWkIuu+yyn2Vmf6fjWCwmrlJFDAwMsH///k6HIUlaQiLiqk7HsJhcKiBJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJ0pQi4h0R8dOI+NYk+yMi3hgRV0bE5RHxgLL+1Ij4RkO5JSLOKvdtL9tnRBw7kzhMXCVJkjSdPcCZU+x/LHDPspwDvAUgMz+TmffLzPsBjwJuBvaVx3wBeAww439ba+IqSZKkKWXm54DrpmjyJOCiLHwZuEdErGtq8zTgk5l5c9nn1zPzwGziMHGVJEnSfB0P/KBh++qyrtEzgb3zOYmJqyRJkuYrWtTl+M5i9vU+wKfmcxITV0mSJM3X1cCGhu31wI8atp8OfDAzb5vPSUxcJUmSNF8fAf5HeXeBhwA3ZOaPG/Y/i3kuEwATV0mSJE0jIvYCXwLuFRFXR8TZEfGiiHhR2eQTwPeAK4G3An/QcOwAxWzsZ5v6/KOIuJpidvbyiHjbtHFk5nRtJC0BW7duzf3793c6DEnSEhIRl2Xm1k7HsViccZUkSVIlmLhKkiSpEkxcJUmSVAkmrpIkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSpEXW19dHRMy4sPPoWbVvLn19fZ2+ZKktTFylBRIR2yLipk7HIWnpOXjwIJk54wLMqn1zOXjwYIevWGoPE1dJkiRVgomrpGlFRKdDkNRhe/fuJSKo1WqsWLGCWq3Gli1bOPfcc9myZQtdXV1s2bKFvXv33uW4Y445ZnzZQk9PD2eccQYbNmwYr9uwYcNdjmt1/qnO09y2sf+ZnmM+559NfJqH+bz1YLEcLgW4FHgLsAu4DrgW+F9AL/Bm4Hrgv4HfazjmdcAVwC+BA8AFwIqG/duAm5rO8wTgMuAW4PvAa4AjZhLjySefnJ1SvFRIapdZ/0ydf9Tinq/J8PBwbt68OYEcGBjIXbt25ebNm/Oss87K7u7u3LFjR46NjeXIyEhu3rw5h4eHx49btWpVdnV15QUXXJCf+MQncuXKlQnk3e52t9y3b1/u27cv161bl/39/ePHTXb+kZGRludpbtvf359HH310rlmzJi+44IJcu3Zt3uMe95jyHDO5/snOP5v42g3Yn0vg9+hilY4HYLEshVImrjcCO4F7Ai8FEvhkmcCeCPwlcCvwa+Uxfwb8NjAAPK5MbP+yoc8JiStwRnmO5wO/DpxaJr5vmEmMJq7S4aNqievQ0FCOjIwkkCMjI5mZOTIykr29vblr164cGhoabzsyMjK+PTQ0lD09Pblr167x/QMDA1mr1bKnp2fCMQMDAxP6aXX+Ro3naW47MDCQAwMDE2Kt1012jplc/2Tnn0187bbcEtcorlla3iLiUqA3M3+r3A7gp8CXMvOJZV0PcAh4dmZe3KKPFwEvy8wTy+1twJsy8+7l9ueASzLzLxuOOQt4N7AqW/wwRsQ5wDkAGzduPPmqq65q2zXPhksFpPab1e/fnUfDzhvmfK52/gyPjY3R09PDbbfdxhFHHMGhQ4dYtWoVt99+OwC33XYbK1as4Pbbb6erq4s77riDQ4cOceSRRwKM18GdY1A/Bhjvp1FXVxe33HILPT0943WN52luW+/31ltvHY+13v9k55jKdOefTXztFhGXZebWBT3JEuIaV+lOl9e/KZPInwLfbKi7DTgIHAcQEU+LiNGIuKa8e8DfABun6P9kYEdE3FQvwDCwEljb6oDMvDAzt2bm1v7+/nle3vx0+q9si+VwKlX7GR4aGmJkZASA0dHR8a+9vb3s3r2bwcHB8fOMjo6Obw8ODtLT08Pu3bvH92/cuJFarTYhyRsdHWXjxo0T+mk0ODg4ft5W52luu2nTJjZt2jQh1o0bN055jqlMd/7ZxKd56vQPr8WyFArFUoE3NdV9C9jZVHcNsB14CPAriuUCD6RheUFD221MXCrwS+A8imUHzaV7uhhdKiAdPmb9M+UaV9e4ToJltlSg4wFYLEuhzCFxfSlwVdO+N06TuH4BeOdcYzRxlQ4fVUtcM4vkDMiIyN7e3oyIHBoayu3bt+fQ0FDWarUcGhq6S7I2PDycfX19SfG5gezu7s7TTz89169fP163fv36aZO84eHhKc/T3Lax/5meYz7nn0187bTcElfXuEqMr3H9VmZub6j7FnBxZu5sqLsGeDVwFfBB4HnAlyg+ePUq4NjMjLLtNiaucT0D+BjwWuB9FDO2W4AHZeYrpotx69atuX///vleqqQlICKY1e/fNqxx9ff94ck1rpKmlZkfBf4K+FuKtbGnAX8+zTGfAn6H4m4CXynLn1DcjUCSJE3DGVepIpxxlQ4fs/2Uf55/FPEXN875fKtXr+a6666b8/FaupbbjGt3pwOQJGm5mcuk0Z2LlqTly6UCkiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEkxcJUmSVAkmrpIkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEkxcJUmSVAkmrpIkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEkxcJUmSVAkmrpIkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSpDbr6+sjIuZU2Hn0rNr39fV1+nKlRWPiqsNKRNQi4h8i4ucRkRFxSgdjuTQi3tSp80vqnIMHD5KZcyrArNofPHiww1crLZ7uTgcgtdnjgOcDpwDfA67raDSSJKltnHHV4eZE4MeZ+cXMvCYzxzod0FISEZ0OQdISFBH09PSMLz/o7u6mVqtNqGsstVpt/Puenh5qtRpbtmzh3HPPZcOGDeP7NmzYwN69e2cUw969e9myZQtdXV1s2bJl/Li9e/e27HOy9gtlrudrPu7cc89d1LgPO3N9K8NiWWoF2ANkQzkABPAK4L+AXwLfBJ7bcMxA2faZwGfLNl8H7gtsAb4IHAJGgc0Nx/068GHgmnL/14DHN8VzKfCmhu0jgNcDV5fHfBU4Y6bXd/LJJ+d8FT/ykhbavH7Wzj9q8c6Vmdu3b08g+/r68hWveEX29fWNv46uXLkyjzzyyAQyInLFihV5xBFHJJA9PT151FFHZV9fX/b39+dZZ52VtVot73GPe+S+ffty3759uXbt2uzv78/h4eEpYxgeHs7NmzfnyMhIjo2N5cjISG7evDm3b9+e/f39uW7dugl9rlq1Kvv7++/SfrrzzNVk8c32unbs2JHd3d25Y8eOtsUN7M8l8Dt4sUrHA7BY2lWAo4G/AH4ArAX6gdcAVwBnApuBZ5dJ4++Ux9QT1ysolhncG/gM8K3y66nAELAf+GjDuX4TeBFwH4pZ3h3AGHDvhjbNiet7gC8DjwBOALaXx/zmTK7PxFWqjiolrr29vQnkyMhIDg0N5cjISK5duzaBHBgYyJ6enuzq6spdu3ZlT09P9vT05Itf/OLx/SMjIzkwMJC9vb25du3aHBgYGO+7vm9oaGjKGOrnbTQyMpK9vb3j52is7+npmXCeev1055mryeKb7XUNDQ3lrl27Jhw337hNXC2WChfgZcCB8vuV5Qzqw5va/C3wifL7euL6wob9jy/rntJQtw24aZpzfxl4ZcP2eOJaztDeAWxsOuZDwN9P0ec5ZdK8f+PGjTlfTJyRtlgsC1jmbA6JazvK2NhY1mq18a/A+FcgDx06NP799ddfP75/bGwsI2J8OyLGY6vvq9VqU15DvZ9GY2NjE87RXN94nnr9dOeZq8nim+111Wq1PHTo0ITj5hs3yyxx9cNZOpydBKwA/rl8Ua3roVhG0Ojyhu9/Un79ZlPdyog4MjNvjoiVwPkUSe66ss8VTf00egDFsoXvNK0z7QVGJruAzLwQuBBg69atOVm72She5yQtpMVeTz6fn+sVK1Zw6623Mjo6yuDgIKOjoxx33HFcc801bNy4kR/+8Ifccccd7N69m56eHgDOO+88ADZu3Mjo6CibNm3ixz/+MatXr2bFihXjfdf3rVy5csoY6uc99dRTJxzb29vLunXrJuwbHR2lp6eH448/fkIf9fgXwmTxTXe+5uMGBwfZvXv3hOMWMu7DUqczZ4ulnYWJM64PppgdeBTF2/mNZVPZZqBss7Whj61l3UBD3Zll3d3L7bcA3weeSrEe9kSK9bB7Go65lDtnXJ9BMeM62CKW42dybS4VkKpjXj9rrnF1jesssMxmXDsegMXSztKUuK4CbgGeP0X7uSau3wT+omH/CopZ2T0NdY2J62+Ux58612szcZWqo0qJa72P7u7u8YS1q6srI2JCXWOpLw2oHxcROTQ0lNu3b8/169eP71u/fv2Mk7Lh4eEcGhrKWq2WQ0ND48cNDw+37HOy9gtlrudrPm779u1tjXu5Ja5RXLN0eIiIlwHbM3Og3H418GLg5cDngLsDDwHuyMwLI2KAYub0gZm5vzxmK8Un/jdn5oGy7kzgk8CqzLwpIt4P3JNi7ettFMsGTgM+mJnbymMuBb6VmdvL7XcDDwdeSnEXgj7K+81m5gemu7atW7fm/v375zo0khZRRDDn3687j4adNyzOuVR5EXFZZm7tdByLxTWuOtz9GcVM6Mso3t6/EfgGcME8+30J8Hbg88BBig98rZjyiOIfI+woz72e4p8jfIXi7gWSJGkazrhKFeGMq1Qd8/lwVp5/FPEXN864/erVq7nuOv9J4HLljKskSZqX+U4K5c72xCEdbvyXr5IkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEkxcJUmSVAkmrpIkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqhMjMTscgaQYi4lrgqnLzaOCGWRw+Xfup9rfaN11d8/7G7WOBn00T72zNZjxm0na+4zGb7XaPR7ufG1O1mWm94+F4TFXveMxvPFZmZv80MR0+MtNisVSsABe2s/1U+1vtm66ueX/Tvv2dHI+ZtJ3veMxmu93j0e7nxlRtZlrveDgejkc1xqMKxaUCUjV9tM3tp9rfat90dc37ZxvvbM2m/5m0ne94zHa7ndr93JiqzUzrHY/5bbeT4zG/vg/38VjyXCogaVFFxP7M3NrpOJYKx2Mix2Mix2Mix2Oi5TgezrhKWmwXdjqAJcbxmMjxmMjxmMjxmGjZjYczrpIkSaoEZ1wlSZJUCSaukiRJqgQTV0mSJFWCiaukJSMiBiNid0RcHBEv7nQ8nRYRZ0XEWyPiwxFxeqfj6bSIOCEi3h4RF3c6lk6IiJUR8c7yOfGcTsfTacv9+dBsubxemLhKaouIeEdE/DQivtVUf2ZEXBERV0bEn0zVR2Z+NzNfBDwdqPQtXto0Hh/KzBcA24BnLGC4C65N4/G9zDx7YSNdXLMcl6cAF5fPiScuerCLYDbjcTg+H5rNcjwOm9eLqZi4SmqXPcCZjRUR0QW8GXgscBLwrIg4KSLuExEfayrHlcc8ERgFPr244bfdHtowHqVXlsdV2R7aNx6Hkz3McFyA9cAPyma3L2KMi2kPMx+P5WAPsx+PBXu9mO4PzYjYFBGfjojLI+LSiFjfsO95EfGfZXleQ/0/R8S/RcS3y3fcuqaKobu9lyRpucrMz0XEQFP1g4ArM/N7ABHxXuBJmfla4PGT9PMR4CMR8XFgeOEiXljtGI+ICOB1wCcz82sLG/HCatfz43Azm3EBrqZIXr/BYTrxNMvx+M7iRrf4ZjMeEfFdFvD1oiFhPo3iufjViPhIZjY+Dm8ALsrMd0bEo4DXAr8XEX3A+RTvpCVwWXnsQeDpmXlj+Xp3MfC7wHsni+OwfOJLWjKO584ZIihe7I6frHFEnBIRb4yIfwA+sdDBdcCsxgM4F3gM8LSIeNFCBtYhs31+HBMRu4H7R8R5Cx1cB002Lh8AnhoRb2F5/dvPluOxjJ4PzSZ7fiz068V4wpyZYxTJ5ZOa2pzEne+WfaZh/xnAJZl5XZmsXkI5k5yZN5ZtuoEjKBLbSTnjKmkhRYu6SV+UMvNS4NKFCmYJmO14vBF448KF03GzHY+fA4djAt+s5bhk5iHg+YsdzBIw2Xgsl+dDs8nGY6FfL1olzA9uavNvwFOBvwOeDKyKiGMmOXb8j9SI+BRFYvxJilnXSTnjKmkhXQ1saNheD/yoQ7EsBY7HRI5Ha47LRI7HRJ0aj5n8ofky4JER8XXgkcAPgV9Nd2xmngGsA3qBR00VhImrpIX0VeCeEbE5Io4Angl8pMMxdZLjMZHj0ZrjMpHjMVGnxmPahDkzf5SZT8nM+wM7yrobZnjsLRTX0bz8YAITV0ltERF7gS8B94qIqyPi7Mz8FbAd+BTwXeB9mfntTsa5WByPiRyP1hyXiRyPiZbYeEybMEfEsRFRzy3PA95Rfv8p4PSIWB0Rq4HTgU9FxN0jYl15bDfwOODfpwoiMqdcAytJkiQREY8D/hboAt6Rma+JiFcB+zPzIxHxNIo7CSTwOeAPM/PW8tj/Cfxp2dVrMvMfI2IN8DGKJQJdwAjwv8vkvHUMJq6SJEmqApcKSJIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaukZSUiBiIiI2LnAvS9s+x7oKFuW1l3ygKcb8GuRTNXPgZ7DtfzSUuJiaukjoqI1RFxS/nL+LmdjmepKZPTnRFxv07HIkmd1t3pACQte88BjgC+D5wNvHuBz3cVcDfgVwvQ96uB1wG3trHPAeB84ADwjaZ9C3ktkrTkOOMqqdPOBj4D/C3wyIj49YU8WRZuycy2J3uZ+auy72x335Ocb8GupaoiYlWnY5C0cExcJXVMRDwAuB/wTuA9wG3A8ydp+zsR8dmI+FlE/DIi/jsiPhARv9HQZkNEvCMiroqIWyPipxHxxYh4XkObu6wLbayLiKdHxDfKc1wZEc8v22yMiIsj4rqI+EVEvLs5SWq1xnWSa1kVEa+OiH8tr+fW8lyvi4gjG9pto0jqAf6x7Dsj4tLJrqWs746IP46I75TLMH4eER+MiPs0tWu87sdHxFfL9j+OiL+KiBm9KzeTx6ZstzYi3hgR32t4fC6JiNOa2j2irL+h7O9rEXF2i/NeGhEHIuKE+mMD3NiwPyLixRFxWUTcXD5un4mIU1v09T8i4isRcX1EHCpjfE9E9M9kDMo+HhMRXy7PdU1E/F1ErGzY/5JyvB/T4tje8rn16Zmer+n4Z0TER8qxv7V8LD4UEfdt0fZAOXb3joiPl+NyQzmGa1u0v29E7CvH5ecR8c6IODaa1tpGxCll3bYWfeyJiGyqe1BZ/x8Nj88XIuLJk1zjIyPiS+Vzoj6+Q5P8DMz4sVe1uFRAUiedDRwC3p+ZhyLi48DzIuLPM/OOeqOIeCTwEeCbwGuB64FfAx4DnAj8R5lkXQIcD/w98B/A0cB9gYdTJMfTeTzwovL468r43hERY8D/AUaAPwUeCPxP4Bbg9+dw3ceXx70fGKZ4q/+RwCuA+wNnlO0+V573T4ELgc+X9T+Zpv/3AE+nGI+3AGuBPwS+FBEPz8yvN7V/HPAHwG7gHcCTgJcBB8vzT2omj03ZbgD4ArAGuAjYD6wEHlK2vaRs9wTgg8A1wC7gF8AzgbdFxAmZuaMphLsDny373gEc17DvXcCzgIuBfwR6KZamXBIRT8nMj5TnfC7F8+PzwJ8DvwQ2Ao8t+7t2qjEoPQB4GvDW8vpOBf4I2BIRp5XP53dSjOfZwL80Hf9kYDXw9hmcq5XtFM/ZCynG7teBc4AvRMQDMvM/m9ofD1xKMdYvB34TeCFwFHB6vVFE3JNiXGrAG4EfUjxfPjnHOBs9Gbg38D6KZS/HAM8DPhARz8nM4YY4Hgbso3hOvo7iefZ04Lcn6XtGj70qKDMtFotl0QuwguIX7Z6GuicBCTy2qe1fl/XHTdHffcs2r5jmvANlu50t6g4Bmxrq+ymS0zuAlzT18wFgDLh7Q93Osp+BhrptZd0pDXVHAD0tYvvLsu2DGupOKeu2zfBaTivr/gmIpvH5FfD5Sa67MeYAvgX8eAaP47SPTdnuE2W7M1rsq5VfuygSmOuBX2sary8AtwP3bKi/tOzz1S36fHK575ym+m6KpPn79fEpH8sbge45PpezLGc11f9dWf/Mhrrh8jnV19T2EoqfhxUzPN+eprqVLdoNUqy3/vum+gNlH09vqn9zWX/vhrr3lXW/3dT2n5rjmOa5uodidct0MR8JXAF8p6n+K+W4ndBQ11M+L5p/Bmb82FuqV1wqIKlTnkIxw9Q4E/px4KcUs5mNbii/PnWKt6/rbU6NiOMmaTOdD2XmVfWNzLyW4pfoHRS/1Bt9nuIX58BsT5KZY5l5G4y/rb86Io7lzlm4B88h9rr626yvyfK3dXnOy4GPAQ9r8fb3hzLzQEPbpFiisDYi7j7N+aZ9bCKiDzgT+OfM/FTz/rxzdv1kipnOd2Tmjxr2jwF/RTHr96QWp3hDi7rnUszWfqh8W/vYcozvAXyU4nG7Z8M1HAn8TkTEFNc6lSsy80NNda8rvza+9X0hd87+AeOz0Y8G3pOZt8zl5Jl5qOwrIuKo8lrrz99Wz6cfZeb7mupGyq8nln11UcyufiUzv9DUdtdc4mwVc3muIyPiGIrHYQQYjIijyn1rKN7l+HBmfq/h+Nso/jhoNpvHXhVj4iqpU86m+MV6dUScGBEnUvxCuQR4YvmLpu5NwNcp38KPiE9ExB81JmBlwvkairc5f1yubbsgIh44i5i+16LuIMXMY+8gL08AACAASURBVPOdAg6WX4+ZRf/jIuIPIuJyihmx6yjG4tJy9+q59FnaTJFof7fFvm81tGnU6rp/Xn6d7vqmfWwoEqEo202lHte3W+yrx35CU/21mXl9i/aDwCqKZRXXNpWdZZs15df/QzHT+yHg2oh4f0T8fszug153Ge/M/DHF7PEJDXWXUiyfaFyz+3yK8XnbLM43QUTcPyI+RpGw3cCd13ofWj+fZvKY91Ms57iiRdtWdbMSEcdFxIUR8ROKWf+fUcT8orLJPcqv9efFTOOYzWOvinGNq6RFFxGbKdYABuUayBaeS3GnATLz52UC+nCKt8IfAfwN8BcR8bjM/FLZ7pUR8Q7gd8q2vw+8PCIuyMw/nkFot8+ynvIaZiUiXkIxY7WPYt3gjyiWHRxP8ZbqfCYV5jJjOOfrm+FjU+9jurstzCX2m6fo61rg2VMc+y2AzPzPiDiJYtbz0RTrjd9KcQ2PyMz/mkEck11bq2t6K/BXEXEyRTK/Ddifmf82g/Pc9QQRGynWQ99IsdzkCopEMCl+hlrNms/kMZ/q8Wh1vVM9vhPyjXJmex9FkvlG4KsUCfftFIn8s7nz52C2z4sZP/aqHhNXSZ1Qn2F6AcWMVLNXU8xI/W29IjNvp5iRvBSKTzoDlwGvpEhU6+2+B/xf4P9GxArgU8ArImJXZv50Aa5lLn6PYp3hY3Pih9DObNF2trfW+i+KD3cNApc37Tup/Pr9WfY5pRk8Nv9JcR33n6areoI41GJfPfZWM4Wt/CfwG8CXM/Om6RqXM+qfKAsR8TiKpSsvofhg23ROaq6IiHUUHxBsjnkPxbsDZwMfplge8doZnGMyT6ZITp+YmZ9p3FG+/T7X+wr/lCIBvleLffduUXdd+bWvxb7mmfL7Unwg7FWZeX7jjoho/sBjffxaxdGqblaPvarFpQKSFlVE1ChmmL6ZmW/LzIubC7CX4tPYDyyPObZFV/9O8envvrLN0RHR09igXC9Yfwt3Pm+/t9vtFInc+ExSuT70T1q0rf/ibZUMtFJfZ3le43rNiNgCPBEYLdfutsVMHpvMvI7iU+iPjda3gqrH+TXgv4HnR8NtmcrH9eUUY/bhGYZ2EcXvuJYJYblucqpr+Fr5dabjfq+IOKuprj7LP2Hta2b+rKx7NsXdAG6m+NDWXNVnTyfMTEbECyjuKDEn5R8knwQeFBHNn95/aYtDvk/xAcAJj3FEPJTi7hEziXkLE9cEk5k/ofhQ1ZMi4oSGtj3A/2oRx4wfe1WPM66SFtvpwAamvu3P+ynWop1N8RbiWyNiPcVbi/X/FvUMinVsF5XHnApcGBHvp3ir9CaKD/v8PvCvmTnvNXltdDHFL9VPRsQHKG5B9GyK+9g2+w7FusU/iIibKWaof5qZIy3akpmXRMT7KG4htbpc91i/HdYtFLdoaqeZPDZQJGhfpLjmd1LMyN6N4oNDB4A/zszbI2I7xS2avhoRF1Jc+zMoEp//k3e9rVNLmXlxRPwjsD2K+wV/jGIN5XrgtyjW3daToH0RcQPF2+0/oFhbuY0iUX7XDMfhm8C7I+KtFDN+p1LcHuuzFJ/Ab3Yhxe2cHg+8MzNvbNFmpj5Jkfy+KyLeRLH++rcpPlj1X8zvd/0rKWbw/7ns+2qKWfT6GubGDwDeFMV9XX8/IvZSzMDfk+IdlsspZljrvkuxlvkVUdy7+AqKWdIXUryN/4CmOF5Gsf79ixHx9xTLCp5OcceJ5jhm89irajp9WwOLxbK8CvD/KH7J3GeadldQJGl3o7gDwUcofmneSrF+7bPAUxvab6a4D+l3Kdb6HSq/fxVwdEO7ASa/HdbOFnFcChxoUb+Nu97maiczux1WF3AecGV5PVcBF1C8vX+XOCgSkK9RJJ4JXDpV3BSJyh+X11//8NeHmsd8muu+y7VM8jhN+9g0tD2+fIz+m2JN708oEt5HN7V7JEWScmN5zV8Hfn+mj01Tm9+juANEva8DFLe/ekZDmxeU57umjOvHFEsGTp3hczop3v5/DPCvFLPNP6FYsrJqkmOCO5dQPHyWP0Otbof1CGCUItG/nmKZw5ZWY1SOwaUt+j2FFrezovgnIf9CkRxfR/EHyeaybfOttu5OsYb352X7UeChtL4d1iaK14Nry7ZfoZhtbfncAx4FfLl8HH9CcUeBBzPJbfBm8thbqlfq97CTJEmLKCK+DXRlZqv1okta+cGy/cB5mfm66dovYBxPpXgH41mZ+d5OxaHF4xpXSZIWWUQ8iuIDXRd2OpbpRMTdmraD4r+8QfkfzxYhhig/bNlY10Px4blfceet5HSYc42rJEmLpExYf51iqci1FG+rL3XfiIgRinW8K4EnUNz+7J8y87JFiqEXuCoi3kOxjOgYirXP9wVen5nXLFIc6jCXCkiStEgi4lLgYRQfuvvDzPx8ZyOaXkRcQJGsbqCY8Po+8B6KhLHVBwoXIoYuiiT/kcA6ijXCVwAXZubfL0YMWhpMXCVJklQJLhWQKuLYY4/NgYGBTochSVpCLrvssp9lZv/0LQ8PJq5SRQwMDLB///5OhyFJWkIi4qpOx7CYvKuAJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkaUXEmRFxRURcGRF/MkW7p0VERsTWcvu0iLgsIr5Zfn1UQ9vXRMQPIuKmmcRg4ipJkqQpRUQX8GbgscBJwLMi4qQW7VYBfwT8a0P1z4AnZOZ9gOcB72rY91HgQTONw8RVkiRJ03kQcGVmfi8zx4D3Ak9q0e4vgQuAW+oVmfn1zPxRufltYEVE9Jb7vpyZP55pECaukiRJms7xwA8atq8u68ZFxP2BDZn5sSn6eSrw9cy8dS5BdM/lIEmSJC0r0aIux3dG1IC/AbZN2kHEEPB64PS5BuGMqyRJkqZzNbChYXs98KOG7VXAFuDSiDgAPAT4SMMHtNYDHwT+R2b+11yDMHGVJEnSdL4K3DMiNkfEEcAzgY/Ud2bmDZl5bGYOZOYA8GXgiZm5PyLuAXwcOC8zvzCfIExcJUmLoq+vj4hoW2Hn0W3pp6+vr9NDIy15mfkrYDvwKeC7wPsy89sR8aqIeOI0h28HTgT+LCK+UZbjACLigoi4GjgyIq6OiJ1TdRSZOdV+SUvE1q1bc//+/Z0OQ5qziKCtv3N2Hg07b5h3N22PS1pEEXFZZm7tdByLxRlXSZIkVYKJqzQPEbFtpv/tIyIGGv+TiCRJmh0TV1VSRPRHxN9HxIGIuDUifhIRn46I0xY5lH8CTljkc6oU0eruLNLS4XNUai/v46qqej9wJHA2cCVwHPBI4JjFDCIzfwn8cjHPKUnScuWMqyqnvK3Gw4E/ycxPZ+ZVmfnVzHxDZr63bHMgInZGxLsj4qaIuCYiXtbUz0si4vKIOBQRP4yIt5V91/dvK499dER8q2z3mYjY3NymYXtDRHw4Iq6LiJsj4t8j4plNl7ApIi4p93+nA7PEkhbBGWecATDhDgY9PT3UajW2bNnC3r172bt3L1u2bKFWq7FixYqW+7q6usbr6qbaN51zzz2XFStWEBGsWLGCM844Y8Z9zee87einOfZzzz13Tuefr71797Jhw4bxx3XDhg0zvoZ2jeGylZkWS6UKxTsFvwDeCKyYpM0B4EZgB/AbwAuBMeApDW3+P+BRwADFbO3lwLsa9m8DbgP+heJ/NN8X+DrwqaY2NzVsfxS4BPhNYDNwJnBmuW+A4r+M/DvwBOCewDuBnwN3n+66Tz755NRExUuYqqLtj9f5R7Wlm4V4Hp1++ulZ/rznmjVr8v73v38C2d3dnf39/bljx47s7+8f/37z5s25a9euHBgYmLBvZGQkx8bGcmRkJDdv3pzDw8M5PDycmzdvbrlvOtu3b8/u7u7ctWtXHjp0KJ/znOckkGeddda0fc3nvO3opzn2Xbt2ZXd3d27fvn1W55+v4eHh7O/vz7Vr1+a+ffty3759uW7duuzv75/2Gto1ho2A/bkEfjcvVul4ABbLXArF/zq+DrgF+BLwBuDBDfsPAJc0HfM2YHSKPs8EbgVq5fa28hfPvRraPKdMgBvbNCaulwPnT9J/PXF9YUPd8WXdw6a7ZhPXuzJxrZbllLhGRK5evTqBHBkZyaGhoXziE5+YQA4MDOTQ0FAODAyMfz8yMpKZOd62vq9RfV9j++Z90+nt7c1du3aNbw8NDeWLX/zi7O3tnbav+Zy3Hf00x56ZuWvXrgmxL4b649N4DSMjI+OP5XTHtmMMG5m4WiwVKcAK4DTgz4Evlgngn5b7DgCvamp/NnBdw/ajytnRq8sZ3JvLPn6t3L8NuKWpj1PLNn0NbW5qOsdtZTL9auDkhn31xPW3GuqirHvKJNd4DrAf2L9x48bURPUZLUt1Slu1MXFdyDI2Npa1Wi2vvfbaBDIislarjX+t1Wo5NjaWmTnetr6/UeO+evvmfTO51kOHDo1v12q1vP766yc8NpP1NZ/ztqOf5tgzMw8dOtT+59U06o9N4zU0PjbTHduOMWzEMktcXeOqysrMWzLzksx8VWY+FHg7sLP8V3RTiohNFP9+7rvA7wInA/+z3N14/K+aT1t+bfmzk5lvp1gi8I8USxS+2OK/gNzW0H66/i7MzK2ZubW/v3+qS1q2Ov0iapl5Wcrafa0RwerVqwEYHR1lcHCQs88+G4BNmzYxODjIpk2b2LhxI4ODg4yOjk5ou3HjRjZt2jQhxvq+xvbN+6bT29vL7t27x7cHBwc577zz6O3tnbav+Zy3Hf00xw6we/fuCbEvhvpj13gNo6Oj44/ldMe2YwyXtU6/kFks7SrAS4A7gKMoZlz3Ne1/K/CF8vunArcDXU3HJzBQbm+jYTa1rDulbHPsZG2a2v8x8KPy+4Hy2K1NbRJ42nTX51KBu2KRZ1o0P21/vJbwUgHXuE7ONa6ucZ1P6XgAFstsC8Utr0aA51J8YGozxazpNZTrWrnzw1nnUXwI6gUU61efVu6/b/lL5aXl8c8C/nu+iSvwdxRrZU8A7gd8BviXcp+Ja5uZuFbLckpcMycmr/XS3d2dEZFDQ0PjSejQ0FBGRPb29rbcV6vVxuvqpto3ne3bt2dvb28C2dvbm6effvqM+5rPedvRT3Psi5201g0PD+f69evHH9f169fP+BraNYZ1yy1xjeKapeqIiF7gfIr1rScCvcAPKT7R/+rMvC4iDgB7gHtRfIL/EPDXmfn6hn7+iGJGtI9ijew/UPxDgc2ZeSAitgFvysy7NxxzCkUy2p+ZP2tuExH/lyJx3UCxbvbTwEsz84cRMQB8H3hgZu5v6DOB383Mi6e67q1bt+b+/funarLs+D/mq6Xtj9fOo2HnDfPuZiGfRz5HtdAi4rLMXDb/kdHEVYelMnF9U2a+odOxtIuJq6puOSau0kJbbomrH86SJElSJZi4SpIkqRK6Ox2AtBAyc6DTMUi6q4hoW195/lFt6a9+2ypJS5+JqyRpUSzEOtLc2fYuJS1hLhWQJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEkxcJUmSVAkmrpIkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0nSstDX10dEzKmw8+g5HdfX19fpy5YOKyaukqRl4eDBg2TmnAowp+MOHjzY4auWDi8mrtIMRcRARGREbG21PYPjD0TEyxY2SkmSDl8mrjosRMSeMolsLl9ewNP+AFgHfGMBzyFJkkrdnQ5AaqN/AX6vqW5soU6WmbcD1yxU/wshIsbf9pRUHf7sSgVnXHU4uTUzr2kq1wGUs6/nRMT/i4hDEfG9iHhu48ER8eCI+FpE3BIRX4+Ix5XHndLqZC2WDvRExBsj4kcRcWtE/CAiXtd02IqI+IeIuDEiro6Ily/EQEg6fO3du5djjjlmwofAjjnmGPbu3Tu+f8OGDS0/LNbV1UV3dzcRwYoVKzj33HPZu3cvW7Zsoauriy1btoz3M98Y293nfOPYsGEDGzZs6HhMmqe5LlS3WJZSAfYAH5tifwJXA88FTgReSzEbu6ncf3fgWmAYGAJOA75dHndK2Wag3N46yfZLKZYPPALYCDwUeH5DDAeAnwPbyxjOLY//rZlc48knn5zzVfzIS8vTvJ7/5x+1+Ods0c/w8HCuWrUqIyJXr16dr33ta3P16tUZEblq1arcvn179vf359FHH51r167Nhz70oQnkihUrcsWKFRkRWavV8pxzzsldu3ZlrVbLVatW5cjISI6NjeXIyEhu3rw5h4eH5xzr8PBwbt68ua19zjeOiy66KNetW5dr167Niy66qGMxLQRgfy6B38OLVToegMXSjlImrr8Cbmoqry/3J/DahvbdwM3Ac8vtFwLXAXdraPPsWSaubwQ+DcQkMR4A9jbV/Sfwyplco4mrND+HQ+I6NDSUPT09uWbNmhwZGcnMzJGRkVyzZk329PRkb29vDgwM5MDAQI6MjGRvb2+++MUvzoGBgQRy7dq1uWvXruzt7c3MHD+u0cjISA4NDc051qGhofHY2tXnfOOof98YRydiWgjLLXGN4pqlaouIPRSznOc07bo+M38WEQk8OzP3NhxzFfB3mfnXEfE3wMmZ+YiG/b8OXAmcmpmXRsQA8H3ggZm5v8X2A4BLKBLgfcAngE9m5h1lfweAf8jM1zac47PAv2XmH01yXefUr2njxo0nX3XVVXMZnsb+5nW8VHVz/p2382jYecOsD2vnz1xm0tXVxR133EFEcOutt9LT08Ntt91Gb2/v+LXVlwXccsstHHHEEVx//fX09fVxxx13UKvV+MUvfsHKlSvJTGq1WuMf0gDcdtttrFixgttvv31OcXZ1dXHLLbfQ09PTtj7nG0f9e2A8jk7EtBAi4rLMnNHdbQ4HfjhLh5ObM/PKKfbf1rSd3LnOO8rtOcvMr5XJ7JnAo4B3Av8WEafVk9dpYmjV54XAhQBbt25ty1+Z/rGq5apTf7i142euHvvg4CD/8R//QV9fH6Ojo5x66qmMjo5y3HHHcd1111Gr1Vi3bh0Ao6Oj9Pb2ct5557Fx40YOHDjAcccdx+7du+nt7QUYP67R6Ogog4ODc451cHBwPLZ29TnfOOrf1+s7FZPaoNNTvhZLOwozW+P6tKa6A8DLyu9bLRV4FrNYKtDinA8u9/9G8/ka2lwKvGkm1+hSAWl+5vX8XyJLBVzjOrc4XON6+JSOB2CxtKOUieslwNqm0l/uny5xrX84693AScBjgG+Wxz2ybDNl4gq8pEx2Byk+fPV3wA3Akc3na4jBxFVaJIdD4ppZJGR9fX1Zvv4kkH19feNJ2PDwcK5fv37C/nqp1WrZ1dWVQPb29ub27dtzeHg4h4aGslar5dDQUFuSuYXoc75xrF+/PtevX9/xmNptuSWurnHVYaFc4/q8Frt+mJnryzWuv5uZFzccc4AiaXxDuf0Q4C0Uiet3gFcDFwMPycx/ncEa1xcALwbuSfFL4uvAeZn5xVbnK+suBb6Vmdunu8atW7fm/v37ZzgirXkvSC1n83r+z2ONazt+5vzZ1WRc4ypVUGZuA7ZNsf8ui9syc6Bp+8vA/evbEfEkigT0v8r9ByjWwjLJ9luBt04Rw0CLulMma78Q/MUnVZM/u1LBxFUqRcTzgO9R3It1C/C3wEcz82cdDUySJAEmrlKjNcBfAOso/pXrx4E/7mhEkiRpnImrVMrMC4ALOh2HpIUz11ti5flHzenY1atXz+l8klozcZUkLQvzXSeaO9sTh6S5m/TG55IkSdJSYuIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEkxcJUmSVAkmrpIkSaoEE1dJkiRVgomrJEmSKsHEVZIkSZVg4ipJkqRKMHGVJElSJZi4SpIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEkxcJUmV09fXR0TMurDz6Fm17+vr6/SlSmpg4ipJqpyDBw+SmbMuwKzaHzx4sMNXKqmRiasqLyIyIp420+2lJCL2RMTHOh2HJElVYOKqJa1M7LKh/CwiPhYR925otg746BTdTLdfkiRVgImrquBfKJLPdcDpwN2AD9Z3ZuY1mXnrZAdPt19LX0R0OgRpTnzuSu1l4qoquLVMPq/JzK8BfwPcOyLuBtMvBWjcHxED5fZTI+KSiLg5Ir4TEac1HfM7EXFFRNwSEZ+LiGeWxw2U+7dFxE1Nx5xStjm23D4mIvZGxNUR8cuI+HZEPL+dAyOpGvbu3cuWLVuo1WrUajUiYvzrli1b2Lt373i7DRs2TPiAWFdX110+NNbT00OtVptw7GTnW7FiBbVajQ0bNrBhwwa6uromPW621zPTviZrP9t+5hvHbDX2387x0zzMZXG7xbJYBdgDfKxhexXwLuDyhroEnjaTbWCg3P534AnAPYF3Aj8H7l622QjcCvw1cC/gacB/l8cNlG22ATc1xXpK2ebYcvt44OXA/YATgHOAMeDRk13fVOXkk0/O5ap4qZLuNOfnxPlHLc55Go4fHh7OzZs351lnnZVdXV356Ec/Oru7u/Mxj3lMdnd351lnnZWbN2/O7du3Z39/f97jHvfINWvW5LOe9ayMiCxfV3LlypW5cuXKjIhcuXJlHnvssbljx47cvHlzDg8Pj5+zfr4dO3bkwMBA7tq1a7zftWvX5kUXXZQjIyN3OW6m6v2PjIzk2NjYtH1N1n779u2z6me+ccznOi+66KJct25dW8av3YD9uQR+Xy9W6XgAFstUpUzsfgXcVJYsk8gtDW3mkri+sGH/8WXdw8rt1wLfBaKhzZ/ONnGd5HreC7yt6fpMXKdh4qpmVUpch4aGcmRkJHt7e3PXrl05NDQ04Wtvb+/4/oGBgRwYGMiRkZEcGhrKNWvWZFdXV3Z3d4/vW7Nmzfj39b6HhobGz9lYNzIykpl5l34z8y7HzVRjv3VT9TVZ+/p1z7Sf+cYxW439179vx/i1m4mrxbKESpnYjQAnluVBZd2PgA1lm7kkrr/VsD/KuqeU2x8ELmqK49FzmHHtAnYAl1PM6N5Uzrjua7q+SRPXcpZ2P7B/48aNuVzVZ5wslsYyJ3NIXOdbarVajo2NJZCHDh3KWq024Sswvr9Wq2VE5NjY2Pj39X4iImu12oR29b5rtdp4zI11Y2NjmZkt2zYfN1ON/dZN1ddk7evXPdN+5hvHbDX2X/++HePXbiyzxNU1rqqCmzPzyrJ8BTgbOIoiqZur2+rflD/4cOea73oiO5U7ynaNepq2Xwa8FPgrisT3fsCHgCNmGmRmXpiZWzNza39//0wPOyx1+sXSsrRKVZ57AIODg4yOjtLb28vu3bsZHByc8LW3t3d8/8aNG9m0aROjo6MMDg5y3HHH0dXVRXd3N5s2bWLjxo2sWbNmvF2978HBwfF4G+tGR0cBxo9tbNt83Ew19ls3VV+Tta9f90z7mW8cs9XYf/37doyf5qnTLz4Wy1SFFjOSFAnmjcCucjuZ/Yzr1qY+G9u8FvhO0/7zyjYD5fZjy+2jGtq8vKyrz7h+FHhnw/4AvgFcOtX1TVZcKiDdac7PCde4usZ1DtfpGtelUzoegMUyVSkTu0uAtWUZBN5MMeN5Stmm3YnrJooPZ72B4sNZTwEOlG02lW36KN76fzPFEoanAt9vSlx3AVcDDwPuXba9wcR19kxc1axKiWtmkQQNDQ2N35Oa8q1/KNbA1hOg4eHhXL9+/V2WGjRuA9nd3Z0RMeHYRo3n6+3tzYjI9evX5/r167NWq0163EzV+59pX5O1n20/841jthr7b+f4tdNyS1yjuGZpaYqIPcDzGqp+QXFHgNdn5vvLNgn8bmZePN12eTur7wMPzMz9DedpPubxFHcV2Ah8FXhHWdZm5k/KNk+iWAawAfgcxd0O3gX0Z+bPImI18HbgNOCXFEnq3YGTMvOUhus7NjMfP91YbN26Nffv3z9ds8NSROBrlRrN+Tmx82jYecPCn6dNx0vTiYjLMnNrp+NYLCau0gxExP8CXgWszsw7OhHDck5cpWZVSVylhbbcEtfuTgcgLUUR8YcUM63XAg8B/gzY06mkVZIkmbhKkzmR4t6tx1CsU91NMeMqSZI6xMRVaiEz/zfwvzsdh6TJRTTfkW56ef5Rszpu9erVsz6HpIVj4ipJqpz5rDvNne2LQ9Li8h8QSJIkqRJMXCVJklQJJq6SJEmqBBNXSZIkVYKJqyRJkirBxFWSJEmVYOIqSZKkSjBxlSRJUiWYuEqSJKkSTFwlSZJUCSaukiRJqgQTV0mSJFWCiaskSZIqwcRVkiRJlWDiKkmSpEowcZUkSVIlmLhKkiSpEiIzOx2DpBmIiGuBq9rc7dHADQt0zFTtJtvXqr65brrtY4GfzSC+uVio8ZquTRXHay5jNdPjOjVeS+25NdPj2vWz2Kq+SuPV6deuVnXtGK9Nmdk/h+OqKTMtFssyLcCFC3XMVO0m29eqvrluBtv7qzZe07Wp4njNZayW+ngttedWO8ZrNmNVSlBl/wAAIABJREFU9fHq9GtXJ8frcCouFZCWt48u4DFTtZtsX6v65rrpthfSQo3XdG2qOF5zPY/j1f7j2vWz2Kq+SuPV6deuVnWL+fp1WHCpgKTDSkTsz8ytnY6jKhyvmXOsZsfxmh3Ha2accZV0uLmw0wFUjOM1c47V7Dhes+N4zYAzrpIkSaoEZ1wlSZJUCSaukiRJqgQTV0mSJFWCiaukZSMizoqIt0bEhyPi9E7Hs5RFxAkR8faIuLjTsSxVEbEyIt5ZPqee0+l4ljqfU7Pj61VrJq6SKiEi3hERP42IbzXVnxkRV0TElRHxJ1P1kZkfyswXANuAZyxguB3VprH6XmaevbCRLj2zHLunABeXz6knLnqwS8Bsxmu5PqcazXK8lsXr1WyZuEqqij3AmY0VEdEFvBl4LHAS8KyIOCki7hMRH2sqxzUc+sryuMPVHto3VsvNHmY4dsB64Adls9sXMcalZA8zHy/NbbyWzOtVROyIiLGyfLLF/k0R8c2IuCUiDkXEB8v6+0XEZRFxU7nv6ogYKPe9JyJ+HhG3RsT1EfH/TRWDiaukSsjMzwHXNVU/CLiynMkZA94LPCkzv5mZj28qP43C64FPZubXFvsaFks7xmrRg14iZjN2wNUUySss09+nsxyvZW8247XUXq8iogfYCZwGrAZOiYgnNDXbDRwFrAOeANxW1t8M/Ap4MnAC0A3cWu77CfBx4G7AJ4GeqeJYlj9okg4bx3PnjBcUicTxU7Q/F3gM8LSIeNFCBrYEzWqsIuKYiNgN3D8izlvo4Ja4ycbuA8BTI+It+K87G7UcL59Tk5rs+bXUXq+2ATdk5mcz8xDwWeAPm9o8EHhTZh4EPsOds8vdwG2ZeUlm/uj/b+/+4+Oq6vyPvz6TTBPbQpu0kXZJ20R+WRJZ3VbxJ7SK/BJLdVkB8QdY9Gvd1u8uilKLWv0K6w+y64JKRVdLlWRlQRFFdmEdqkZBLIr8EEWEIohKgVIgtLS0n+8f58xwO51MZtJMJrd5Px+P80jm3HPP/dwzk8wnZ869ISSrk+O2VwOfdPedwM3A1HJBNI7EmYiI1ImVqBv0v6q4+4XAhbULZ0yrdqweBcbCm+VYUHLs4pv3GaMdTAoMNl56TZU22HiNtd9XhwCPJB5vAF5Z1GYLcKyZLQamA/uY2TTgYOBxM/s20BW33Rf3OQA42czeDBzIEK8RzbiKSJo9CMxKPG4HHqpTLGOdxmr4NHbV0XhVJy3jVckfv78F5gITgZ8R1n5PIkyUvgb4TGx3G/DO+H0TsBX4JfBj4H3lglDiKiJp9gvgIDPrNLMJwCnA1XWOaazSWA2fxq46Gq/qpGW8fkuYKc3rAP5c1OYPwEfc/SWEpQ7PAvsRkvPbgIsJF5t9Dfi7uE9+rXgbYS30YeWCUOIqIqlgZn3AjcAh8YrUJe7+LLAM+B/gLuByd7+znnGOBRqr4dPYVUfjVZ2Uj9daYIqZvcbMJgFHAl8qapMDFsbvP0m4AOte4FbgxcCV7v5fwGuB38R29xIu5DoVOAK4u1wQ5j7oEicREREREQDM7GOEGVMDbnD3o83sR8BP3P1cMzsJ+AphqcAA8H53/6aZvY1wK7D8XQa2AEe7+3oze5aQ4GaAncAady++6Ou5GJS4ioiIiEgaaKmAiIiIiKSCElcRERERSQUlriIiIiKSCkpcRURERCQVlLiKiIiISCoocRURERGRVFDiKiIiIiKpoMRVRERERFJBiauIiIiIpIISVxERERFJBSWuIiIiIpIKSlxFREREJBWUuIqIDMHMOszMzWxVDfpeFfvuSNSdHusW1OB4NTsXqVx8DtbUO45aGy/nKaNHiauIpI6ZtZjZ1vim+LZ6xzPWxOR0lZm9uN6xiIiMpMZ6ByAiMgynAROA+4AlwDdrfLz7gecBz9ag708BnwaeGcE+O4CPAxuAW4u21fJcRIo9D9hR7yBk76EZVxFJoyXADcDngSPN7IBaHsyDre4+4smeuz8b+/aR7nuQ49XsXNLKzPapdwz1MBrnHV9r22t9HBk/lLiKSKqY2d8BLwYuBS4DtgNnDNL2DWb2IzN7xMy2mNkfzezbZnZwos0sM/uamd1vZs+Y2cNm9jMze2eizW7rQpN1ZvYWM7s1HuMeMzsjtpltZleY2WNm9qSZfbM4WSi1xnWQc9nHzD5lZj+P5/NMPNanzWxiot3phKQe4OuxbzezdYOdS6xvNLMPm9lv4jKMR83sO2b2oqJ2yfM+wcx+Edv/2cw+Z2YVfZJXyXMT280wswvN7N7E83O9mb2+qN0RsX5z7O+XZrakxHHXmdkGM3tB/rkBnkhsNzNbama3mNnT8Xm7wcwWlujrHWZ2s5k9bmYDMcbLzKytkjGIfRxlZjfFY/3FzP7dzCYltp8Vx/uoEvs2xdfWD4c4RvI5Ozme2xbgokSbmWZ2cXwetpnZQ2Z2iZk9v0R/h5nZdfGcHzWzS81supVYz1qqLtafGZ+jLfE5u87MXl2inZvZGjN7RXy9DMTXzFfNbHK585a9k5YKiEjaLAEGgCvdfcDMrgHeaWYfc/ed+UZmdiRwNXA78C/A48DfAEcBBwJ3xyTremB/4EvA3cAU4DDgNYTkeCgnAO+N+z8W4/uamW0DzgdywEeAlwLvArYCZw7jvPeP+10J9BI+6j8S+BDwEuCY2O7H8bgfAS4BfhLr/zpE/5cBbyGMx8XADOAfgRvN7DXu/qui9scD7wNWA18DTgQ+CGyKxx9UJc9NbNcB/BTYD1gLrAcmAS+Pba+P7d4IfAf4C9ADPAmcAnzVzF7g7iuLQpgM/Cj2vRJIJmffAE4FrgC+DjQRlqZcb2Zvdver4zHfRnh9/AT4GLAFmA0cF/vbWG4Mor8DTgK+Es9vIfB+oNvMXh9fz5cSxnMJ8L9F+78JaAH+o4JjASyO/V9MeN6eiOcyG7iRsPzmP4A/EJ6HpcBCM5vv7ptj24PiOWeAC4E/EV4L11YYA2b2GcLr9mbC63Qf4D3ADWZ2orv/oGiXFwPfJzwfvcACwnjsjPvJeOLuKioqKqkoQDMhOVyTqDsRcOC4orb/GuufX6a/w2KbDw1x3I7YblWJugFgTqK+jZCc7gTOKurn28A2YHKiblXspyNRd3qsW5ComwBkS8T2/2LblyXqFsS60ys8l9fHum8BVjQ+zwI/GeS8kzEbcAfw5wqexyGfm9juB7HdMSW2ZeLXBsK63ceBvykar58S1lcelKhfF/v8VIk+3xS3vaeovpGQNN+XH5/4XD4BNA7zteyxLC6q//dYf0qirje+plqL2l5P+HlorvD1ux2YW2L7d4GHgfai+vnx+U++Vi6Pfb2qqO23Yv2aEueZ/Hk9hPCz0Q9MSNT/TXwONwANRfvvBF5e1O818Xwmlzt3lb2vaKmAiKTJmwkzTMmZ0GsIb7rvKmq7OX79+zIfX+fbLCz1kWiFrnL3+/MP3H0j8DvCm+0Xi9r+BMgSEomquPs2j2sFLXys32Jm03luFu7wYcSe96b49Tx3L6y1dffbCDNdry7x8fdV7r4h0dYJSxRmVPAR7pDPjZm1AscC/+3u/1O83Z+bXZ9HmOn8mrs/lNi+DfgcYWbwxBKHuKBE3dsIs7VXxY++p8cxngp8j/C8HZQ4h4nAG8zMypxrOb9z96uK6j4dv74pUXcJz838AoXZ6NcBl7n71gqPd42735WsMLMphE8Nrga2Fp33BuAe4OjYtoEwu3qzu/+0qO+eCmM4kfBHzmfjcwRAfO7WAHMInyAk3ejuNxXV5Qh/UHRUeFzZSyhxFZE0WUL4CPZBMzvQzA4kvHFdDyyKb7Z5XwB+RfwI38x+YGbvTyZgMeE8j/DG/Oe49u+zZvbSKmK6t0TdJsLMY/GdAjbFr9Oq6L/AzN5nZrcR7kDwGGEs1sXNLcPpM+okJNp3ldh2R6JNUqnzfjR+Her8hnxuCB9VW2xXTj6uO0tsy8f+gqL6je7+eIn2cwkfW/+VMLbJsiq22S9+PZ8w03sVsNHMrozrNqu54Gm38Xb3PxNmHl+QqFtHWD6RXLN7BmF8vlrF8e4uUXcIIRfI/2wVl0N47pzbCEs1flein1J1pQzn+dqT15rsZbTGVURSwcw6CWsAjdJvwBBmzD4P4O6PxgT0NYSPwo8A/g34hJkd7+43xnbnmtnXgDfEtmcCZ5vZZ939wxWENtitfsrdAqjqGTozO4swq3UdYW3hQ4RlB/sTZqr2ZCJiODOGwz6/Cp+bfB9D3W1hOLE/XaavjcBby+x7B4C7/97MDiXMer6OsN74K4RzOMLd/1BBHIOdW6lz+grwOTObR0jmTwfWu/uvKzhOXqnzzh/rmwy+pntLmbjyKr0rxqi+1mTvo8RVRNIiP8P0bsKMVLFPEWaNPp+vcPcdhBnJdRCuhgZuAc4lJKr5dvcSrrC+yMyagf8BPmRmPe7+cA3OZTjeTvjo9jjf9SK0Y0u0rfbWWn8gXNw1F7itaNuh8et9VfZZVgXPze8J51H8sXGxfILYVWJbPvZSM3al/B44GLjJ3Z8aqnGcUf9BLJjZ8YSlK2cRLmwbyqHFFWY2k3CBYHHMawifDiwhrEmdTbiwbU/dQxjnCe5efPFXsYcJa5sPKbHthRUeL/l8FSf31T5fMg5pqYCIjHlmliHMMN3u7l919yuKC9BHuBr7pXGf6SW6+i1h9qg1tpliZtlkg7heMP8R7p58/D7SdhASjMIMU1wfek6Jtvmkq7XCvvPrLFck12uaWTewCOiPa3dHRCXPjbs/RrhS/TgrfSuofJy/BP4InGFmMxLbs8DZhDH7boWhrSW8L5ZMCM1sv8T3pc7hl/FrpeN+iJktLqrLz/LvsvbV3R+JdW8FlhFmT3srPM6g3P1RQuL9ZjN7efF2C9pi2x2E5+RlZvaqoqYfqPCQVxOek7OTP3sxYT+DsPxiqOUhMo5pxlVE0uBoYBblb/tzJWEd4hLgF8BXzKyd8NF6/r9FnUxYw7g27rMQuMTMriSs0XuKcLHPmcDP3b3SdXuj4QpCQnWtmX0b2JeQxJS6uftvCBcZvc/MnibMUD/s7rlSHbv79WZ2OeEWUi1m9n2eux3WVsItlEZSJc8NhATtZ4RzvpQwI/s8woVoG4APu/sOM1tGuB3WL8zsEsK5n0y4bdb57v77SoJy9yvM7OvAMgv3C/4+8AjQDryCsO42v/7yOjPbTLj92AOEC7hOJyRl36hwHG4HvmlmXyHM9i4k3B7rR4Sr9ItdQrhl2QnApe7+RIk2w7GUcJX/j81sLSFxzBDO9UTCc7Iqtj2XMDv/32b2BeBBwgx5fn1y2dl+d/+dmX2OcDusH5vZt3judliTgdNigixSkhJXEUmD/EUp3x6sgbvfYWZ3A6eY2T8TkofTgXcS3lSfICR0J7n7lXG3X8c+FxCu2G4gzN6dT+VXSY+WzxFmW5cQbpn0F0Jy83XCeRW4+xYzO4WwfOLzhCvSf0S4EnswpxFmDE8nnPtA3Oej7n77SJ4IlT03uPt9ZjYf+CjhavZ3EC5w+zUhicu3+56ZvY6QVJ1NuBXWXcC73b2ai5dw93eZ2Q2ERGpF7OsvhLFZkWh6MSGJ/D+EGdZHCQnfcne/gcr8krCs4DzCvYCfIFy49pHkcpCEHOGj/QOp/N6tQ3L3B+La2Q8TEtW3Ef5geYBwN4XLE21/Z2ZHEO7K8H9ju+8T/si5l+fWw5Y73ofN7B7CfYA/TVir/XPgre7+k7I7y7iXvx+diIiIjHFmdifhPqeVrikdFTHxXQ+scPdPD9VeZLi0xlVERCQFzOy1hAuYLhmqbY3jeF7RYyN89A/xv5mJ1IpmXEVERMawmLAeQFiqMBk4wN2frGM8vyMsW7idcF/XNxJubfYtdz+lXnHJ+KDEVUREZAwzs3XAqwnrgP+x3utAzeyzhGR1FuFamfuAy4DP5P+7m0itKHEVERERkVTQXQVEUmL69One0dFR7zBERGQMueWWWx5x97ahW+4dlLiKpERHRwfr16+vdxgiIjKGmNn99Y5hNOmuAiIiIiKSCkpcRURERCQVlLiKiIiISCoocRURERGRVFDiKiIiIiKpoMRVRERERFJBiauIiIiIpIISVxERERFJBSWuIiIiIpIKSlxFRESG0NraipkNWVg1paJ2+dLa2lrvUxNJFSWuIiIiQ9i0aRPuPmQBKmqXL5s2barzmYlUzsyONbPfmdk9ZnZOie2zzewGM/uVmd1mZsfH+tPM7NZE2WlmL47b5pnZ7bHPC83MysWgxFVEREREyjKzBuCLwHHAocCpZnZoUbNzgcvd/SXAKcCXANz9Mnd/sbu/GHg7sMHdb437XAy8BzgolmPLxaHEVURERESG8jLgHne/1923Af8JnFjUxoF94/dTgIdK9HMq0AdgZjOBfd39Rg8fWawFFpcLonH48YuIiIjIOLE/8EDi8YPA4UVtVgHXmdlyYBJwVIl+Tua5hHf/2E+yz/3LBaEZVxn3zOy9ZjZgZhMSdRPM7Gkzu72o7UFm5mb22hE47gYz++Ce9iPj1xBLwWQvp+dfRlmpF5wXPT4VWOPu7cDxwDfMrJBrmtnhwNPufkcVfe5CiasI5ICJhI9B8g4HNgMHm1lbon4B8Azws1GLTkREpP4eBGYlHrez+1KAJcDlAO5+I9AMTE9sP4W4TCDRZ/sQfe5CiauMe+5+N+EHZWGieiHwv8B6QrKarL/R3bfGWdnPmNmDccb2F2Z2TL6hmWXjFZIPmdkzZvaAmX06blsHzAE+F2dwy/6FKSJSSnd3N5lMhubmZsyMTCaDmZHNZpk2bdout97KZDIcdthhhX2y2ewu2/LfZ7NZjjnmGLq7u2loaKC7u5u+vr6hg6lQX19foe9Zs2Yxa9asqo6T3H8kY6tVv3uRXwAHmVln/ITyFODqojZ/BF4HYGZzCYnrxvg4A/wDYW0sAO7+Z+BJM3t5vJvAO4Dvlo2imtt2qKjsrQX4JpBLPL6B8JfjecCXEvUPAR+L318G3AQcAbwAWAZsA/42bv8AYT3QEcBs4JXAGXFba9z2CWAGMGOoGOfNm+ciSeFXuIyGisf64/vWpt8ivb29DvjKlSu9o6PDX/WqVzngRx11lE+fPt0nTZrkhI9cfdGiRT5nzhzv6upywDs7O3369One2trqU6ZM8QkTJjjgEydO9LPPPtsnT57sgC9evNi3bdvmuVzOOzs7vbe3d1ixFsfd2dnpuVzO165d6zNmzPCZM2f62rVrKzpOcv+RjK1W/Y4GYL2P3nvl8cDdwB+AlbHuk8Ci+P2hwE+BXwO3Akcn9l0A3FSiz/nAHbHPLwBWNobROlkVlbFcYpK6BWiKfyFuAQ4Ajgbuim1eGN8IXh237QRmF/VzVT7RBS4EfjjYDyGwAfhgpTEqcZViSlxHz1hLXPNJaFdXl+dyOW9qavKlS5d6V1eXd3R0eEdHhwOeyWTc3QttFi1a5IB3dHR4LpcrtFu6dKl3dHQU9m9pafGmpqbC8XK5nHd1dQ0r1uK4c7ncLt8n+x7qOMn9RzK2WvU7GkYzcR0LxcI5i4xvZvYCwl97CwmLxde6+ywzmwRsIsyYvgm4AJhKuF3H5cBAUVdNhJnbY8zs74DrgceA64AfANe6+854zA3AF9z9gjJxvYdwfztmz5497/777x+ZE5a9gi7OGV0VvV+umgKrNlfc554+h5lMhq1btzJhwgQef/xxWltbw5u7GTt37gRC3Nu3b2fChAls3LiRtra2wn7Nzc3s3LmTxx9/nJaWFsxsl/3z57x9+3aam5vZsWPHHsXb0NDA1q1byWazhe+BQt9DHSe5f95IxFarfkeDmd3i7vPrHcdo0e2wRAB3v9fM7id8lGHAulg/YGa3xPoFQL+7b49rdRx4KbC9qLstcd9fmlkH4WbKrwUuBX5tZq/PJ68VxHUJcAnA/Pnz9Vem7EaTD6Ojln8kDOc57O7u5s4772Tu3Ln09/fT1NTEihUrmDt3LgMD4e/pDRs2kMmES1nybZYsWQLA7Nmz6e/vZ/bs2WzYsIEVK1YwZ84cJk2axMDAAJs3b+bpp58uHK+/v5+5c+fu8bnm4124cGHh+3x9JcdJ7j+SsdWqX6mBek/5qqiMlQJ8HfgR8GNgSaL+XwjJ41+BD8e6gwmJ68Iq+j887nNwfHx3vr9KipYKSDG0VGDUVDzWWuM6ZNxa4zqyGGdLBeoegIrKWCmEqxmfieWARP2xwBPxTeBlifpvAvcDJxEuzpoPfBB4c9x+FuGednOBA4F/J9xia2Lcfh3wfcLNlqcPFZ8SVymmxHX0jLXENb9vV1eXm5k3NTU5kL9DiTc2Nnpra2shec1ve9GLXlTYp7GxcZdt+e8bGxv96KOP9q6uLs9kMt7V1TWiCVxvb2+h7/b2dm9vb6/qOMn9RzK2WvVba+MtcdUaV5HIzGYRbuXxoLvPStRPJqxzfRpodfcdsT4LrCQkvO2Etaw3A59w91vM7N3AUsL/XnbgV8AKd/9Z3P/lwJeBQ4Amdy/7WeT8+fN9/fr1I3jGknb59YhSexWP9TDWuA73OdTzL6A1riLjlrs/QIn/4uHuTwHZEvXbCf/ebtUg/X0F+EqZ490E/O3wohXR+tbxTs+/jEf6BwQiIiIikgpKXEVEREQkFZS4ioiIiEgqKHEVERGpgJkNWSptly8tLS11PiuRdNHFWSIiIkOo5kIoX1W7OETGO824ioiIiEgqKHEVERERkVRQ4ioiIiIiqaDEVURERERSQYmriIiIiKSCElcRERERSQUlriIiIiKSCkpcRURERCQVlLiKiIiISCoocRURERGRVFDiKiIiIiKpoMRVRERERFJBiauIiIiIpIISVxERERFJBSWuIiIiIpIKSlxFREREJBWUuIqIiIhIKihxFREREZFUUOIqIiIiIqmgxFVEREREUkGJq4iIyCBaW1sxs4oKq6ZU3La1tbXepyaSSkpcRUREBrFp0ybcvaICVNx206ZNdT4zkXRS4ioiIiIiqaDEVURERERSQYmryCgysw1m9sF6xyEiIpJGSlxl3DGzNjP7UkwinzGzv5rZD83s9SN4jNPN7KmR6m+kmFm9QxCRPaSfYxnPlLjKeHQl8DJgCXAwcAJwLTCtnkGJiFSqu7ubhoYGpk2bRjab3e2uBbNmzaKvr4++vj66u7vJZDI0Nzfv8rW7u5vly5cX+uru7qavr69wjOS+yWNMmzaNadOm7XaspPy+5fotta2UattXopo+a3F82QOVXgGporI3FGAq4MBRZdq0AJcCm4AtwP8CXYntpwNPFe2zIPY7PfF9sqyK7TYA5wJfBp4AHgTOriT2efPm+Z4KP/IiUqmqfmY+vm9t+k3o7e11wHO5nC9dutQbGhp80qRJPnnyZJ88ebI3NDT4okWLfObMmb7PPvt4W1ubr1y50js7O/20007zhoYGP+2007yzs9MXL17sjY2NvnLlSt+2bZvncjnv7Oz03t5e7+3t9c7OTl+5cqW3tbV5a2ur77fffr5o0SI3MzczX7FihV933XU+c+ZMb2tr897e3kKMnZ2dnsvlBu231LbBzrea9pWOYaV91uL4Iw1Y72Pg/XW0St0DUFEZzQI0Ak8CFwLNg7T5LvBb4AjgRcDVwAPA8+L2oRLXCcD/BQaAGbFMju02AI8Cy4ADgeVxv1cMFbsSV5HRN9YS166ursK+TU1N3tPT4x0dHZ7NZj2Xy3lPT483NTV5LpfzbDbrHR0d3tXV5blczru6urynp6fwOL9/V1dXof98u+Q+HR0dnsvlCvvst99+vt9++xX2y+VyhePkY8zlcrvEXdxvqW2DnW817Ssdw0r7rMXxR5oSVxWVvbwAfw88BmwFbgQuAA6P2w6KieQRifZTgM3AmfFx2cR1sDaxfgPQV1T3e+DcQWJ9D7AeWD979mzfUyVmglVUVIYoFasycd3TmAAfGBjwTCbjgG/bts0HBgYK3wOeyWQ8k8n4tm3bPJPJFNrnt+cf5+XbJffJf5/fB3AzK+yXbOfuhfZJxX2V2lZKte0rUU2ftTj+SGOcJa6NiIwz7n6lmV0DvAZ4BXAs8AEzWwncAewkJLT59pvN7Hbg0BEK4baixw8Bzx8k1kuASwDmz5/vI3Hw8HtORCpRywuhhvOz2N3dzZ133glAU1MTq1evZvbs2fzpT3+iv7+fX/3qVzQ1NdHf3082m2X//fdn0qRJ9Pf3M3fuXFavXs3cuXPp7+8v7D937txC//l2ye8HBgbo7+8vHHPq1KkATJ8+vdBu9uzZTJo0CaDQ/8KFCwftd7BtxYbqaziq6bMWx5c9VO/MWUVlLBTgq8A24ERgB5At2t4P9MTv3wEMFG1/PWEmopIZ1w8W1a0DvjBUjFoqIDL6qvqZ0RrXQoxa4zp6GGczrnUPQEVlLBTgLMJM69/GBDS5VGBfwlKBJfHxcbHNvok2Zxclrm8FtpQ4jhJXkRQZa4lrft+uri7PZDLe2trqjY2Nuy0laG9vLySKXV1dbmbe1NS0y9euri5ftmxZoa+urq5dErLkvsljtLa2emtr627HSsrvW67fUttKqbZ9JarpsxbHH0njLXG1cM4i44OZTQP+C/ga4SP7J4H5wEXA7e7+ejO7CjiEsL70ceA84CXAwe6+xcxagT8S7jzwb4Rk9wKgA2hz90fM7JXAT4GjgV8BT7v702a2gZCkXpCIaR1wh7svKxf7/Pnzff369Xt6/uhnXqRyVf3MrJoCqzaPfL8juK/sfczsFnefX+84Rovu4yrjzVPATYSr/n8E3AmcD/QCJ8c2ZwA3E+4mcDMwETjW3bcAuPtjwGmE5QG3ExLcjyYP4u4/A1YDfcBG4EO1PCkREZHxQDOuIikxEjOuIlKdsTjjKpKkGVcRERERkTFIiauIiIiIpIISVxERkTLMrKJSTduWlpY6n5VIOukfEIiIiAyi2nWovqo2cYhIoBls6qgXAAAVpElEQVRXEREREUkFJa4iIiIikgpKXEVEREQkFZS4ioiIiEgqKHEVERERkVRQ4ioiIiIiqaDEVURERERSQYmriIiIiKSCElcRERERSQUlriIiIiKSCkpcRURERCQVlLiKiIiISCoocRURERGRVFDiKiIiIiKpoMRVRERERFJBiauIiIiIpIISVxERERFJBSWuIiIiIpIKSlxFREREJBWUuIqIiIhIKihxFREREZFUUOIqIiJSRmtrK2ZWcWHVlKrat7a21vsURVJDiauIiEgZmzZtwt0rLkBV7Tdt2lTnMxRJDyWuIiIiIpIKSlxl3DGzVWZ2R73jEBERkeoocZW6MrM1ZuZmdm5R/YJYP30P+3czO2nPoqyNsRybSJ6Z1TsEqYKeL9nbKXGVsWAr8CEzaxupDs1swkj1JSIiImODElcZC24ANgAfHayBmR1hZj83s61m9lcz+7dkcmpm68zsYjO7wMw2Aj81sw1x83/F2c0NRX2eYmZ/MLMnzeyq4tldMzvDzH4Tj3m3mf2zmWUS288ys9vMbMDM/mRmXzWzqYntU8zsG2b2cOzjXjP7p7itbGwiItVYvnw52WwWoOK7GTQ3N7N8+XL6+vro7u6moaGBWbNmMWvWLBoaGuju7qavr4++vj5mzZpV2G/atGm7tSkn2X+yfT7mfL+TJ0+uqt9aGSzetPS/16vmykcVlZEuwBrg+8DxwDbggFi/AHBgOrA/MACsBuYCJwB/AXoS/awDngR6gBfGdm2xjzOBGUBbbLsKeAr4DnAY8ArgfuDLif7eDfwZOAnoBN4Yj7ks0eafgNcCHcCRwG3ANxLbLwJuBV4W2ywA/iFuKxlbuTJv3jwXGW3hbWJ8q3oMPr5vbfsvsmzZMs9kMt7U1OTx90rJst9++zngmUzGAT/44IM9k8n4vvvu67lczteuXeszZ870GTNm+Nq1az2Xy3lbW5vvs88+PnPmTL/uuuv8nHPO8Uwm41OnTi206ezs9N7e3pKx9fb2emdnp+dyOd+2bVuh/dFHH+2ZTMZbW1v9Bz/4gZ966qkO+MSJEyvqt1YGi3ek4qhF/8B6HwPv56NV6h6Ayvgu+cQ1fn8D8J/x+2Tieh5wD5BJ7Hc68AwwMT5eB9xWon8HTiqqW0VYnjAlUbcSuCfx+I/A24v2+yfgN2XO5dgYUyY+vhr4epn2u8VWrihxlXpQ4jqMMRjlxLWpqclnzJjh2WzWAV+0aJH39PQ44GZWSFybmpp80aJFns1mvaWlxc2ssJ+7e1dXl+dyOc/lct7V1eXu7h0dHZ7NZj2XyxXa9PT0eEdHR6FNsn2xfJ9JuVyucOxkv0uXLvVsNltRv7UyWLwjFUct+h9viauFcxapDzNbA0x39xPM7KXATcDhwGRCItsGXAIMuPvbE/sdCPwe+Ft3v83M1gH3ufsZRf07YZbzikTdKuBUdz8kUXcG8O/uvm9ca/swsAXYmeiuETB3b4r7vBZYQZjdnQI0AM8D9nf3h8zsOOAKQtJ9PfA9d/9RudhKjM97gPcAzJ49e979999fbjhFRpwu9gmqeq9cNQVWba64+UiP8caNG5k4cSKTJk0qua2t7bnLCTKZDDt37sTdaWhoYOvWrQA0NzezY8cOMpkM7s62bdvIZrM0NDTw5JNPMnnyZMyMHTt2sH379kL7Yvk+88sYALZv386ECRPIZDKFbQ0NDTz22GNMnTqVTCYzZL+1Mli8IxVHLfo3s1vcff4eB5cSWuMqY4a7/wK4EvhM0SYjzBiU3C3x/UAVh9teop/8z0P+63uBFydKN9AFYGZzgGuAu4B/AOYB74r7TQBw92uBOcAFhJnja8zs61XEiLtf4u7z3X1+8s1GZDTVe4al3mWsj3FTUxMzZswoJENLlixh9erVwK5JcVNTE0uWLCGbzdLS0oKZ8fznP7+w39y5c+nv76e/v5+5c+cCMGfOHLLZLP39/YU2q1evZs6cOYU2yfbF8n0m9ff3F46d7HfFihVks9mK+q2VweIdqThq3f+4UO9fCCrju5BYKhAfH0hY6/ppdl0q8HuGXirwhRL9bwNOLqpbBdxRVHc68FTi8YPAJ8rE/ffADqAhUXdWjLljkH1OJszgNg0WW7mipQJSD2ipwJhfKqA1riNHa1zHfql7ACrjuxQnrrHuC4SP6Qe7OOsNlL44q1TiejdhqcEMoCXWVZK4nhlj+GfgEMJs6zuAFXH7YTG+DxAu3jqVsC62kLgCnwQWAwfFuL/Frutod4utXFHiKvWgxHUYYzDKiat7SF4bGxvLJq7FpampyZctW+a9vb3e1dXlmUzG29vbvb293TOZjHd1dXlvb6/39vZ6e3t7Yb/W1tbd2pST7D/ZvjjmSZMmVdVvrQwW71jtf7wlrlrjKnWVXOOaqHs+8AfCOtc2d3/EzI4APkf4yP5xoBc4x92fifusIySjy4r6fyPwr4Sr+v/k7h1xjetJ7t6daHc6IfGdnKg7FTgbOJSQxN4Z2/xn3P5+4MNAK/Az4MuE5LTT3TeY2UrgrYTEdith/e4H3P2uwWIrN1bz58/39evXlx1PkZFmZoz394mqx2AYa1xHaoz1fI0/422NqxJXkZRQ4ipSH2lKXGX8GW+Jqy7OEhEREZFUUOIqIiIiIqmgxFVEREREUkGJq4iIyBDMrOJSbfuWlpY6n51IejTWOwAREZGxbDgXTvmqkY9DRDTjKiIiIiIpocRVRERERFJBiauIiIiIpIISVxERERFJBSWuIiIiIpIKSlxFREREJBWUuIqIiIhIKihxFREREZFUUOIqIiIiIqmgxFVEREREUkGJq4iIiIikghJXEREREUkFJa4iIiIikgpKXEVEREQkFZS4ioiIiEgqKHEVERERkVRQ4ioiIiIiqaDEVURERERSQYmriIiIiKSCElcRERERSQUlriIiIhVqbW3FzKourJoyrP3MjNbW1nqftsiYocRVRESkQps2bcLdqy7AsPZzdzZt2lTnsxYZO5S4ioiIiEgqKHEVERERkVRQ4ip7JTNbZWZ3DNHmC2a2bpRCEhERkT2kxFVSw8zWmJmb2VdLbPts3Pb9WHUBcOToRlg5M1sQ451e71hERoKZ1TsEqZCeK0kzJa6SNg8AJ5vZpHyFmTUCbwf+mK9z96fc/dE6xCciMmYtX74coOTdC6ZNm0Ymkyk8zn+fyWTIZDJ0d3fT19dXss/m5mbMjObm5sIx+vr66O7uJpPJ0NzcXLaPWih1/FmzZjFr1iwaGhpGNRYZOUpcJW1uA34PvCVR9wZgK7AuX1G8VMDMGszsAjPbFMvngYbE9uPM7MmYBGNmB8UZ0YsTbc4zs+sTjw81s2vifg+bWZ+ZzUhsf5GZ/dDMnohtfm1mC82sA7ghNtsYj7NmJAZHRGQwy5cvZ/Xq1QA0NzcX6o8//ngaGhp47LHH2H///TnzzDMxM9yd5uZm3vve95LJZDjooINYuXLlLslevs/zzz+fgYEBzj//fFavXs0xxxzDypUrWbx4MR0dHZx//vnMmTOHxYsX79ZHLfT19RWOP2fOHM4//3ymT5/OU089xbPPPsuaNWu46KKLRiUWGWHDvT2HispoF2AN8H3gH4GfJOq/C3wsvz3WrQLuSLT5ELCZkPC+ELgIeAJYF7dPBrYDL4+P3w1sBH6b6OOnwMr4/UzgEeAzwFzgMOB7wM1AJra5HfhmPN6BwJuAVxAS5jcDDhwKzACmDHX+8+bNc5GxKryd7P2GfZ4f33f0j1mkqanJe3p6PP7u8aVLl3pPT483NTU54Nls1s2s0K6lpaVw7Hy7XC7nXV1du/WZ1NPT42ZWaJvL5dzdd3mc7KMWksfJH7+jo8M7Ojp2Of5oxFJrwHofA+/Ro1UsnLPI2BdnJacTlgU8REgWnwTuBw4CPglMd/cTzGwVcJK7d8d9HwK+6O7nxccZ4LfAQ+6+INb9HLjK3f/FzC4D7gbOAV5ASHofBxa6+0/N7JPAq9z9dYn4WoDHgMPd/WYzewJY7u6XljiXBYRZ1zZ3f6TMOb8HeA/A7Nmz591///1Vj5vIaBhP6yaH9b65agqs2jys49VqbB9//HGy2SyTJk3abdvAwECh3t15+umnmTRpEtu2baO5uZkdO3YUYhsYGGDixImFfYvbbt26lWw2y/bt2wuPk33UQkNDQ+E4+eM3NDTg7jzzzDOF4+djqmUstWZmt7j7/HrHMVq0VEBSx903Ad8B3gW8kzBr+sfB2pvZFMIM6Y2JPnYCPy9qug5YEL8/EriWMIO6AHgVYUb25rh9HnCEmT2VL4T1twAHxK//CnzVzHJmttLMXjiMc73E3ee7+/y2trZqdxcZVfWeiRmNkuaxbWpqoqenp9DnihUrWL16NU1NTQBks1nMjKamJlavXk1LS0uhbb5df38/c+fOLdTn2yatXr0aMyu07e/vB9jlcbKPWkgeJ3/82bNnM2fOnF2OPxqxyAir9y8BFZVKC7suBTgK+BPwO+DkEttXEZcKAFMIH429tqi/bxCXCsTHxwFPET6+30z4SP8TwCXAecD1ibbXAlcRlgAUl30S7Q4C3g9cA2wD3hXrF8SYpld6/loqIGMZWipQ3hhYKrBs2TJvbGx0wJubmwtLBo4//nhvaGhwwNvb2/3MM890Myu0W7p0qTc0NPjixYu9s7PTe3t7d+uzp6fHBwYGvKenxxsbG/3oo4/2zs5OX7lypXd2dnpPT493dHQUHif7qIXe3t7C8Ts6Orynp8fb2tp86tSpPmPGDF+7dq3ncrlRiaXWGGdLBeoegIpKpaUoMTXgPuBRoKnE9kLiGh8/BHwk8dhi0rsuUZdf57oGuCbWLSRcDFZY3xrrz4v12Srivxj4Wfz+lfFNY79K91fiKmOZEtchjIHE1T0kmvmEtbi0trYWElag8H28gNS7urpKJnnLli0rrJNtamryZcuWuXtIHru6ugrrZsv1UQuljt/e3u7t7e2eyWRGNZZaGm+Jq9a4Smrk17i6+wnx8T6AufsTxdtLrHH9MLACOJNw0dT7gDOAX3pc4xrb/ZywDOAcd7/AzJoJa1sbgSPd/aex3d8AtwL9hAu0NhLWwr4F+ADwLOFesv8FbAD2A74K/NzdzzSz/QlLC84kXNS1xd2fKnf+8+fP9/Xr1w9n6ERqLn8V+t5u2Oe5h2tcR3Jsx8tzNV5ojatISrj7k/mktQI9wNeJySPhtX9ZiXY3EJYIrIvH2ArcBDzDc+tbcfeHCOtedwL/DdwJfDG2ewbYAbQAlxJmdr9DWGN7Vtz/T8DHCTO3fwW+UOF5iIiIjFuacRVJCc24itTf3jDjKnsXzbiKiIiIiIxBSlxFREREJBWUuIqIiFTBzKouw93PzHa5n6rIeNdY7wBERETSYk/WmvqqkYtDZLzSjKuIiIiIpIISVxERERFJBSWuIiIiIpIKSlxFREREJBWUuIqIiIhIKihxFREREZFUUOIqIiIiIqmgxFVEREREUkGJq4iIiIikghJXEREREUkF25N/Xycio8fMNgL3A1OAzYM0G2xbcX01j6cDjwwj5HLKncNw21d67oPVj6cxGWxbJXXJx2NtTCrZp9ZjUvx4LIzLSI9Jqfq9bUzKtammfjR+fua4e9sw900fd1dRUUlRAS6pdltxfTWPgfWjeQ7DbV/puWtMBt9WSV3ROIypMalkn1qPyVgcl5Eek2rHII1jUs25D/e1Uusx2VuLlgqIpM/3hrGtuL7axyOt2v4raV/puQ9WP57GZLBtldR9r8y2kTac/ofap9ZjUkkMe2qkXyv6nVJdm2rq6/nzs1fSUgERKcvM1rv7/HrHMZZoTHanMSlN47I7jcnuNCaV04yriAzlknoHMAZpTHanMSlN47I7jcnuNCYV0oyriIiIiKSCZlxFREREJBWUuIqIiIhIKihxFREREZFUUOIqIsNmZnPNbLWZXWFmS+sdz1hgZovN7Ctm9l0zO7re8YwFZvYCM/sPM7ui3rHUk5lNMrNL4+vjtHrHM1bo9bE7/R4ZnBJXkXHKzL5mZg+b2R1F9cea2e/M7B4zO6dcH+5+l7u/F3gLkPpbuYzQmFzl7u8GTgdOrmG4o2KExuRed19S20jro8rxeTNwRXx9LBr1YEdRNeOyN78+kqock73q98hIUuIqMn6tAY5NVphZA/BF4DjgUOBUMzvUzF5kZt8vKs+P+ywC+oEfjm74NbGGERiT6Ny4X9qtYeTGZG+0hgrHB2gHHojNdoxijPWwhsrHZbxYQ/VjMmZ+j8TE+ykz22lm28zs2qLtZmaXm9mO2OZpM3u7mS00s9+YmSfKf8d9Os3sVjPbambPmtlmM5tQLg4lriLjlLv/GHisqPplwD1xBmQb8J/Aie5+u7ufUFQejv1c7e6vBFL/0edIjEn85f0Z4Fp3/+Von8NIG6nXyd6qmvEBHiQkr7CXv/9WOS7jQjVjMkZ/j3wTaAY2AC3AAjN7Y2L7ccAJsd0rgT8DF7v7DcDxcb+3AtsJnz4AfAbYQkjO7wMagbKz73v1D46IVG1/npsRgvBGu/9gjc1sgZldaGZfBn5Q6+DqpKoxAZYDRwEnmdl7axlYHVX7OplmZquBl5jZiloHNwYMNj7fBv7ezC5mfP67z5LjMg5fH0mDvVbG4u+RA4AngKfdfQD4EfCPie0nAjuBB939JkIS+rzE9gFgHvCwuz9tZga8FjgIOBz4GGDA4nJBNI7MuYjIXsJK1A36X0rcfR2wrlbBjBHVjsmFwIW1C2dMqHZMHgXGypvvaCg5PvHN/ozRDmYMGWxcxtvrI2mwMRmLv0cOATYlHm8gzKzm7Q/cApxhZu8EZgAZM5sWt3cC7wOeNbPXAHcREuFWoAf4C9BA+YkBzbiKyC4eBGYlHrcDD9UplrFCY7I7jUl5Gp/SNC67S9OYDPUHqwH3AI8AG+PXHbH8GXgpsA34NdAL7ANMALLu/p1B+tyNElcRSfoFcFBcMD8BOAW4us4x1ZvGZHcak/I0PqVpXHaXpjH5LWFta14HISHNexA4GniDu7+EMJsKMMHdnwFeD/wE2Az8AZgGTAWazWwD8F0gi2ZcRaQUM+sDbgQOMbMHzWyJuz8LLAP+h/AxzuXufmc94xxNGpPdaUzK0/iUpnHZ3V4wJmuBfYGJZjYJOBL4UmL71YQ1rUeZ2csJSekWYKOZtQGnEu4+M5GwrvVe4FpC8n4OcH1sf265IMy97IysiIiIiIxzMfE+AZgcq34DXAR8APgW8FHgx8Cr4vYngbe6+zXxArMvES7eyhDurnAa8HvgO4T1szuAZ4Hnxxna0nEocRURERGRNNBSARERERFJBSWuIiIiIpIKSlxFREREJBWUuIqIiIhIKihxFREREZFUUOIqIiIiIqmgxFVEREREUkGJq4iIiIikwv8HKbVuBGGbCZ8AAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 648x1080 with 5 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "demo ages has difference in medians stat=53.042 (p=0.000)\n",
+      "13_18 vs. 19_28 have difference in medians stat=25.031 (p=0.000)\n",
+      "13_18 vs. 29_38 have difference in medians stat=10.061 (p=0.002)\n",
+      "19_28 vs. 29_38 have difference in medians stat=8.069 (p=0.005)\n",
+      "19_28 vs. 39_48 have difference in medians stat=29.313 (p=0.000)\n",
+      "19_28 vs. 49_65 have difference in medians stat=31.990 (p=0.000)\n",
+      "29_38 vs. 39_48 have difference in medians stat=9.714 (p=0.002)\n",
+      "29_38 vs. 49_65 have difference in medians stat=16.035 (p=0.000)\n",
+      "demo education has difference in medians stat=17.876 (p=0.000)\n",
+      "Bachelor's degree or more vs. Less than high school graduate have difference in medians stat=9.965 (p=0.002)\n",
+      "High school graduate vs. Less than high school graduate have difference in medians stat=13.218 (p=0.000)\n",
+      "demo genders has difference in medians stat=10.808 (p=0.001)\n",
+      "female vs. male have difference in medians stat=10.808 (p=0.001)\n",
+      "demo language has difference in medians stat=85.158 (p=0.000)\n",
+      "Bilingual vs. English have difference in medians stat=35.314 (p=0.000)\n",
+      "Bilingual vs. Spanish have difference in medians stat=19.887 (p=0.000)\n",
+      "English vs. Spanish have difference in medians stat=73.548 (p=0.000)\n",
+      "demo region has difference in medians stat=17.542 (p=0.001)\n",
+      "Midwest vs. South have difference in medians stat=14.868 (p=0.000)\n",
+      "Midwest vs. West have difference in medians stat=11.763 (p=0.001)\n",
+      "13_18 vs 19_28: mean diff=0.688 t=7.964 (p=1.038E-13)\n",
+      "13_18 vs 29_38: mean diff=0.447 t=4.835 (p=2.569E-06)\n",
+      "19_28 vs 29_38: mean diff=-0.241 t=-4.096 (p=6.011E-05)\n",
+      "19_28 vs 39_48: mean diff=-0.429 t=-5.678 (p=4.490E-08)\n",
+      "19_28 vs 49_65: mean diff=-0.480 t=-5.150 (p=5.989E-07)\n",
+      "29_38 vs 39_48: mean diff=-0.188 t=-3.590 (p=4.121E-04)\n",
+      "29_38 vs 49_65: mean diff=-0.239 t=-3.059 (p=2.513E-03)\n",
+      "Bachelor's degree or more vs Less than high school graduate: mean diff=-0.388 t=-5.608 (p=6.417E-08)\n",
+      "Bachelor's degree or more vs Two-year degree,Some college: mean diff=-0.143 t=-2.976 (p=3.265E-03)\n",
+      "High school graduate vs Less than high school graduate: mean diff=-0.456 t=-8.120 (p=3.929E-14)\n",
+      "High school graduate vs Two-year degree,Some college: mean diff=-0.212 t=-5.758 (p=3.001E-08)\n",
+      "Less than high school graduate vs Two-year degree,Some college: mean diff=0.244 t=5.327 (p=2.557E-07)\n",
+      "female vs male: mean diff=-0.195 t=-2.564 (p=1.104E-02)\n",
+      "Bilingual vs English: mean diff=-0.305 t=-5.748 (p=3.151E-08)\n",
+      "Bilingual vs Spanish: mean diff=0.320 t=8.359 (p=8.663E-15)\n",
+      "English vs Spanish: mean diff=0.624 t=8.380 (p=7.587E-15)\n",
+      "Midwest vs Northeast: mean diff=0.141 t=4.160 (p=4.637E-05)\n",
+      "Midwest vs South: mean diff=0.338 t=5.043 (p=9.892E-07)\n",
+      "Midwest vs West: mean diff=0.279 t=7.429 (p=2.710E-12)\n",
+      "Northeast vs South: mean diff=0.198 t=2.740 (p=6.680E-03)\n",
+      "Northeast vs West: mean diff=0.138 t=3.060 (p=2.502E-03)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# plot and test\n",
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import plot_demo_combo_scores, test_score_significance, pairwise_test\n",
+    "plot_demo_combo_scores(black_assim_scores)\n",
+    "test_score_significance(black_assim_scores)\n",
+    "pairwise_test(black_assim_scores)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The differences are still in place, although most of the effects are reduced. This is probably because of how different the African American interest distribution looks compared to the other distributions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/src/analysis/compare_generational_assimilation.ipynb b/src/analysis/compare_generational_assimilation.ipynb
new file mode 100644
index 0000000..e046d62
--- /dev/null
+++ b/src/analysis/compare_generational_assimilation.ipynb
@@ -0,0 +1,2604 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Compare non-expat subpopulation assimilation\n",
+    "In which we compare the degree of assimilation among non-expats, i.e. 2+ generation Mexican American immigrants."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import clean_pop_data, compute_assimilation, load_top_interests, replace_min_count, norm_to_pct\n",
+    "import numpy as np\n",
+    "from itertools import izip"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mx_interest_data = pd.read_csv('../../data/query_results/US_MX_interest_native_music.tsv',\n",
+    "                              sep='\\t', index_col=False)\n",
+    "spanish_data = pd.read_csv('../../data/query_results/hispanic_Spanish_native_music.tsv',\n",
+    "                           sep='\\t', index_col=False)\n",
+    "mx_communities_data = pd.read_csv('../../data/query_results/hispanic_native_MX_community_music.tsv',\n",
+    "                                  sep='\\t', index_col=False)\n",
+    "dest_data = pd.read_csv('../../data/query_results/US_native_white_music.tsv',\n",
+    "                        sep='\\t', index_col=False)\n",
+    "source_data = pd.read_csv('../../data/query_results/MX_native_music.tsv',\n",
+    "                          sep='\\t', index_col=False)\n",
+    "# all interests\n",
+    "# shared_interests = source_data.loc[:, 'interests'].apply(lambda x: clean_str(json.loads(x)['name'][0])).unique()\n",
+    "# top-k interests\n",
+    "# shared_interests = load_top_interests(data_file='../../data/query_results/US_music_interests.tsv', top_k=100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "MIN_COUNT = 1000\n",
+    "# expat\n",
+    "mx_interest_pct = norm_to_pct(mx_interest_data, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=MIN_COUNT)\n",
+    "spanish_pct = norm_to_pct(spanish_data, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=MIN_COUNT)\n",
+    "mx_communities_pct = norm_to_pct(mx_communities_data, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=MIN_COUNT)\n",
+    "# source/dest\n",
+    "# shared_interests = mx_communities_data.loc[:, 'interest_name']\n",
+    "dest_pct = norm_to_pct(dest_data, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=MIN_COUNT)\n",
+    "source_pct = norm_to_pct(source_data, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=MIN_COUNT)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Compute assimilation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from utils import compute_assimilation\n",
+    "top_dest_pct = 50\n",
+    "expat_data = [mx_interest_pct, spanish_pct, mx_communities_pct]\n",
+    "expat_names = ['Mexican American (interest)', 'Mexican American (Spanish)', 'Mexican American (communities)']\n",
+    "expat_assim_scores = [compute_assimilation(source_pct, dest_pct, d, TOP_DEST_PCT=top_dest_pct, score_type='/') \n",
+    "                      for d in expat_data]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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T1NGIFwFjpZSS5PEkq0op2+oqV9X5twH3l264nSS3AyvoLqjHADfUN+P70F1cJ3x6iv14MXBfKeXmui8P1Tb3Ay5JcjzwBF2YmfC1Usq9db1bat9jk9p9DvDAxJNSyluSHAu8GnhX3f9z6uI/L6X8CPhWkruAo4G7d6P/u4AXJNkAfAH43z3LPlf/bqnbTfgO8Nwpjg91BOlcgOXLd+/OxtSDNFL/ee7NjfHxcdasWfO0eWvWrGF8fHxAFS0s8yY8VFcCv0f3rvXgnvkB3lDqEPokR9KNXEx5QZlKkpPpLo4/W0r5lyTX0QUSgB01fUF3MZzqGJ0FHATcXf+hH0A3lH5BXf7D+vdHPdMTzxfXdr9USlk7TYkPT1U23ajIZO8A7geOo3uH/2jPst6+p9uXR3hq34EnP1twW7oPsd7NU+Fhcv9ld/ovpWxPchzwb4D/Avx74D9O2nbydktqzT+mlHIZ3Wc2WL169W79NvFTp4BaeOHbfQvh3JsP58HQ0BBjY2OccsopT84bGxtjaGhogFUtHPPpMw8AlwMXTbxT7/FF4Pyee+YvrX+XAh8GXgUcPPHZgEm+DPxqXX9RkgOApcD2GhyOBl7eWOda4HWllBWllBV0w+8t9+FvAk5K8qJa175JjpphmzuA5yY5sW6zf5LFdV/uqyMCv0J3a6bFON0oCkmeXYPVhOOBb/c8PzPJM5K8EHgB8M3d6T/JIXS3RT4L/De6D6DO5Ci620ySNK3h4WHWrVvH6OgoO3bsYHR0lHXr1jE8PDzo0haEeTXyUIe4PzzFot8CPgRsrQHiHuBU4IPApaWUO5OsA0aTXD9p27cDl9XlT9AFiWuA85JspbsA3jTbGuutleW925RS7k7yUJKXzXI/H6i3W0aSPLPOvoDusxzTbfNYkrOADem+lfII3ejJpcBnk5wJjDL1qMXOfAF4K91nHQK8O8nHavsP89SoA3TH6m+Aw4DzSimPJtmd/p8H/HGSiRD7m7PY5pRasyRNa+3abmD3/PPPZ3x8nKGhIS6++OIn52v3ZCEMkWn31G92nFpK+d5O1tlI9wHWK/ZYYT9ewzPpwsuaUsrjO1t39erVZfPmzbvaz4IYOh6EeXPs1i+F9Q/OvN48M2+O325aKPvxkyjJllLKj/3OzmTz7baFBuOddKMp891y4L0zBQdJUn/Nq9sWGoxSyldnsc45e6CUmWr4FvCtQdchST/pHHmQJnG4Vdo9/hta+AwPkiSpieFBkiQ1MTxIkqQmfmBS0pyaD78uWN53wLyoo9VBBx006BKkWTE8SJoz8+mDcmX9oCuQFi5vW0iSpCaGB0mS1MTwIEmSmhgeJElSE8ODJElqYniQJElNDA+SJKmJ4UGSJDUxPEiSpCaGB0mS1MTwIEmSmhgeJElSE8ODJElqYniQJElNDA+SJKmJ4UGSJDUxPEiSpCaGB0mS1MTwIEmSmhgeJElSE8ODJElqYniQJElNDA+SJKmJ4UGSJDUxPEiSpCaGB0mS1MTwIEmSmhgeJElSE8ODJElqYniQJElNDA+SJKmJ4UGSJDUxPEiSpCaGB0mS1MTwIEmSmhgeJElSE8ODJElqYniQJElNDA+SJKmJ4UGSJDUxPEiSpCaGB0mS1MTwIEmSmhgeJElSE8ODJElqYniQJElNDA+SJKmJ4UGSJDUxPEiSpCaGB0naCy1btowkfXmwfmnf2u59LFu2bNCHUbto8aALkCS12759O6WU/jS+fmn/2u6RpO99qD8ceZAkSU0MD5IkqYnhQZIkNTE8SNIc8R7+4Hjs9yzDgyRJajJvwkOSkuRPe54vTvJAkqt3sb3Tkrx37iqctp+/THJjn/u4KMmr+9zHh5K8qk5/PMkxM6z/yzOtMwc1HZjkP/c8PzTJNf3sU5I0s3kTHoCHgVVJnlWfvwb4h11trJRyZSnlA3NS2TSSHAj8DHBgkiP61MeiUsqFpZRr+9F+7WMZ8PJSyvUApZS3lFL+bobNfhloCg9JWr8afCDwZHgopTwA3JfkpMZ2JKnvRkZGWLVqFYsWLWLVqlWMjIws2L7nU3gA+GvgF+v0WuDJvU+yX5LLk9yc5BtJTq/zfyPJ5XX62CTbkuyb5Jwkl9T5hyX5iyS31scr6vzPJ9mS5PYk5/b09YMkF9d1b0py2DT1vgG4CvgU8Mae7Tcm+UiS0SR3Jfm5Wvt4ko096702yY1Jvp7kM0meXeffk+TCJGPAmbW9M+qyE5P8ba3ta0n2T7IiyVdqO1/v2b+Tk1yX5IokdyT5s0x9Y/AM4Jqeuq5Lsnq6Y1HbPw343SS3JHlhfVxTj+dXkhzdcyz+IMko8Ns7eR1X1v25JcnWJEcCHwBeWOf9bi3v88DZ07wekjQQIyMjDA8Ps2HDBh599FE2bNjA8PDwHgkQA+m7lDIvHsAPgJcAVwBLgFuAk4Gr6/L3A2+q0wcCdwL70QWg64HXA5uBk+o65wCX1OlPA79epxcBS+v0svr3WcA24OD6vAC/VKd/B7hgmpqvBV4JHAVs7Zm/kS5QBDgdeAg4tta6BTgeOKTWvV/d5j3AhXX6HuDdk9o7A9gHuAs4sc4/gO6HvvYFltR5RwKb6/TJwIPA4bXvG4E1U+zHJyb2tz6/Dli9s2MxUVPPNl8GjqzTLwM29ax3NbBohtdxA3B2nb9PfU1WANsm1fo84LaZzqcTTjihSHsasDD6et8B/Wu7x1zuw5489lNZuXJl2bRp09Pmbdq0qaxcuXKv6nvi+jHTY179wmQpZWuSFXSjDn81afFrgdOSvKs+XwIsL6WMJzkH2Ap8rJRywxRN/zzw5trHE3QXVIC3JXl9nX4+3YX3u8BjdBc86C72r5ncYB2NeBEwVkopSR5PsqqUsq2uclWdfxtwfynltrrd7XQXxcPphv1vqIMB+9Bd3Cd8eor9eDFwXynl5rovD9U29wMuSXI88ARdmJnwtVLKvXW9W2rfY5PafQ7wwBT9Mctj8WzgFcBnegY2ntmzymfqcYdpXke6fR9OcjjwuVLKt6YeJOE7wHOnWlBHj84FWL58+TS7I/XXNOetprFQjtf4+Dhr1qx52rw1a9YwPj6+IPueV+GhuhL4Pbp3zQf3zA/whlLKN6fY5ki6kYspLypTSXIy8GrgZ0sp/5LkOroLGcCOmsCguxhPdZzOAg4C7q4n/wF0ty4uqMt/WP/+qGd64vni2u6XSilrpynx4anKphsJmOwdwP3AcXQjDI/2LOvte7p9eYSn9n2y2RyLZwDfK6UcP00bvfsy3es4nuSrdLetvpjkLXSjLJMtqfX+mFLKZcBlAKtXr+7/b+tKU3jqn0t/LZSL7lwdr0Efj6GhIcbGxjjllFOenDc2NsbQ0NCC7Hu+feYB4HLgool36j2+CJw/cc8+yUvr36XAh4FXAQdPfDZgki8Dv1rXX5TkAGApsL0Gh6OBlzfWuRZ4XSllRSllBXACPZ97mIWbgJOSvKjWtW+So2bY5g7guUlOrNvsn+5DiEvpRiR+BPwK3a2ZFuN0oygtvg/sD0+OgNyd5MxaV5IcN812072OLwDuKqX8IV2AfElvHz2OorvFJEnzxvDwMOvWrWN0dJQdO3YwOjrKunXrGB4eXpB9z7uRhzrE/uEpFv0W8CFga73w3AOcCnwQuLSUcmeSdcBokusnbft24LK6/Am6IHENcF6SrcA36S7ms1JvrSzv3aaUcneSh5K8bJb7+UC93TKSZGKI/wK6zwBMt81jSc4CNqT7VsojdKMnlwKfrRfvUaYetdiZLwBvBT7esM2ngD9K8ja6z2OcDXwkyQXAT9Xlt06x3XSv41nAm5LsAP6JLkD+vyQ3JNkG/HUp5b8Cp9R6JWneWLu2G0Q+//zzGR8fZ2hoiIsvvvjJ+Qut7+ypITbNb/WbHaeWUr436Fp2pgbD00sp23e23urVq8vmzZv3UFVSJ8kevW3Rt77WL4X1D8683m6ay33Yk8d+IUuypZSyeqb15uNtCw3GO+lGU+atJIcCfzBTcJAk9de8u22hwSilfHXQNcykdD8S9flB1yFNx3e+g+Ox37MceZAkSU0MD5IkqYnhQZIkNTE8SJKkJoYHSdpLJenLo59t9z4OOuigAR9B7Sq/bSFJe6F+f7ugrO9r89rLOfIgSZKaGB4kSVITw4MkSWpieJAkSU0MD5IkqYnhQZIkNTE8SJKkJoYHSZLUxPAgSZKaGB4kSVITw4MkSWpieJAkSU0MD5IkqYnhQZIkNTE8SJKkJoYHSZLUxPAgSZKaGB4kSVITw4MkSWpieJAkSU0MD5IkqYnhQZIkNTE8SJKkJimlDLoGac4leQD4ds+spcCDDU20rD/bdWda7xDgn2fZ596q9XXY22qYq7Z3p5294VyHhX++763n+r8qpRw641qlFB8+FvwDuKxf68923ZnWAzYP+jjNt9dhb6thrtrenXb2hnO9rrOgz/eFfq5720I/Ka7q4/qzXbe1hoVoPhyDftYwV23vTjue6/PDfDgGfavB2xbSPJFkcyll9aDrkPYEz/e9myMP0vxx2aALkPYgz/e9mCMPkiSpiSMPkiSpieFBkiQ1MTxIkqQmhgdpL5DkBUn+V5IrBl2LNNeS7JfkE0n+KMnZg65HMzM8SH2W5PIk30mybdL81yX5ZpK/T/LenbVRSrmrlLKuv5VKc6fxvP93wBWllP8EnLbHi1Uzw4PUfxuB1/XOSLII+J/AvwWOAdYmOSbJsUmunvT46T1fsrTbNjLL8x44HPi/dbUn9mCN2kWLB12AtNCVUq5PsmLS7H8N/H0p5S6AJJ8CTi+l/A/g1D1boTT3Ws574F66AHELvqndK/giSYPxPJ56pwXdfzyfN93KSQ5O8lHgpUl+s9/FSX0y3Xn/OeANST7C/PhZZ83AkQdpMDLFvGl/sa2U8l3gvP6VI+0RU573pZSHgf+wp4vRrnPkQRqMe4Hn9zw/HPjHAdUi7Sme9wuE4UEajJuBI5MckWQf4I3AlQOuSeo3z/sFwvAg9VmSEeBG4MVJ7k2yrpTyOPBrwBeBceDPSym3D7JOaS553i9s/o+xJElSE0ceJElSE8ODJElqYniQJElNDA+SJKmJ4UGSJDUxPEiSpCaGB0mS1MTwIEmSmhgeJElSk/8PwqOwrMBZo1sAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xdcbb9b0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X = pd.np.arange(len(expat_assim_scores))\n",
+    "plt.boxplot(expat_assim_scores, vert=False)\n",
+    "plt.yticks(X+1, expat_names)\n",
+    "plt.xscale('log')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Oh wow, these are all doing OK except for Spanish! There seems to be a string of outliers, too."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mexican American (interest)\n",
+      "Gangsta rap                   2.882054\n",
+      "Beautiful music               1.986187\n",
+      "1990s in music                1.292784\n",
+      "Adult contemporary music      1.175258\n",
+      "Roots rock                    1.103437\n",
+      "Southern soul                 1.076430\n",
+      "Nu metal                      1.033536\n",
+      "Western swing                 1.018557\n",
+      "Traditional pop music         0.916702\n",
+      "Alternative metal             0.836672\n",
+      "Christian rock                0.811663\n",
+      "Progressive rock              0.773467\n",
+      "1970s in music                0.763918\n",
+      "Grunge                        0.763918\n",
+      "Contemporary worship music    0.721478\n",
+      "Hook (music)                  0.674045\n",
+      "Alternative country           0.659747\n",
+      "Sampling (music)              0.636598\n",
+      "Hard rock                     0.611134\n",
+      "Beat (music)                  0.604768\n",
+      "Swing music                   0.572939\n",
+      "Free jazz                     0.517493\n",
+      "Bluegrass music               0.509279\n",
+      "Organ (music)                 0.481373\n",
+      "American folk music           0.480177\n",
+      "Country music                 0.470103\n",
+      "Appalachian music             0.458351\n",
+      "Tonic (music)                 0.398566\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Mexican American (Spanish)\n",
+      "Gangsta rap                   1.406822\n",
+      "Beautiful music               0.905144\n",
+      "Sampling (music)              0.723003\n",
+      "Free jazz                     0.715827\n",
+      "Hook (music)                  0.652665\n",
+      "Swing music                   0.544148\n",
+      "Progressive rock              0.489070\n",
+      "Contemporary worship music    0.486637\n",
+      "Beat (music)                  0.462305\n",
+      "Organ (music)                 0.311981\n",
+      "1990s in music                0.309950\n",
+      "Hard rock                     0.297291\n",
+      "Christian rock                0.295632\n",
+      "Country music                 0.291982\n",
+      "Alternative metal             0.264174\n",
+      "Nu metal                      0.261066\n",
+      "Traditional pop music         0.253051\n",
+      "Grunge                        0.242131\n",
+      "Tonic (music)                 0.213274\n",
+      "Roots rock                    0.201143\n",
+      "Adult contemporary music      0.193157\n",
+      "Southern soul                 0.151300\n",
+      "American folk music           0.145991\n",
+      "Western swing                 0.136258\n",
+      "Appalachian music             0.125777\n",
+      "1970s in music                0.089541\n",
+      "Bluegrass music               0.069346\n",
+      "Alternative country           0.069014\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Mexican American (communities)\n",
+      "Gangsta rap                   2.910741\n",
+      "Beautiful music               1.685166\n",
+      "1990s in music                1.037025\n",
+      "Nu metal                      0.925189\n",
+      "Roots rock                    0.748963\n",
+      "Alternative metal             0.722214\n",
+      "Progressive rock              0.688109\n",
+      "Contemporary worship music    0.686549\n",
+      "Sampling (music)              0.668717\n",
+      "Traditional pop music         0.651598\n",
+      "Adult contemporary music      0.639499\n",
+      "Hook (music)                  0.634415\n",
+      "Christian rock                0.631937\n",
+      "Grunge                        0.630225\n",
+      "Western swing                 0.629129\n",
+      "Southern soul                 0.612788\n",
+      "Beat (music)                  0.608532\n",
+      "Free jazz                     0.579842\n",
+      "Hard rock                     0.551509\n",
+      "Swing music                   0.510656\n",
+      "Country music                 0.475303\n",
+      "1970s in music                0.449378\n",
+      "American folk music           0.441353\n",
+      "Alternative country           0.439164\n",
+      "Appalachian music             0.406168\n",
+      "Tonic (music)                 0.400532\n",
+      "Organ (music)                 0.400131\n",
+      "Bluegrass music               0.374481\n",
+      "Name: mau_audience_pct, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# what are the top highest scoring genres for each group?\n",
+    "from itertools import izip\n",
+    "for e_name, e_scores in izip(expat_names, expat_assim_scores):\n",
+    "    print(e_name)\n",
+    "    print(e_scores.sort_values(inplace=False, ascending=False))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Can we compare these with the first-generation expats?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xd420b70>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xd40a2e8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "first_gen_data = pd.read_csv('../../data/query_results/Hispanic_MX_music.tsv',\n",
+    "                             sep='\\t', index_col=False)\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "# clean, etc\n",
+    "first_gen_pct = norm_to_pct(first_gen_data, shared_interests=shared_interests, count_var=count_var,\n",
+    "                            replace_min=True, min_count=MIN_COUNT)\n",
+    "# compute assim with white population for consistency\n",
+    "top_dest_pct = 50\n",
+    "first_gen_assim = compute_assimilation(source_pct, dest_pct, first_gen_pct,\n",
+    "                                       TOP_DEST_PCT=top_dest_pct, \n",
+    "                                       score_type='/')\n",
+    "## plot everything together\n",
+    "# boxplot\n",
+    "all_gen_assim = [first_gen_assim] + expat_assim_scores\n",
+    "all_gen_assim_log = [np.log(d) for d in all_gen_assim]\n",
+    "all_gen_assim_medians = [np.median(d) for d in all_gen_assim_log]\n",
+    "all_gen_assim_median_error = [1.253*np.std(d)/len(d)**.5 for d in all_gen_assim_log]\n",
+    "all_gen_names = ['Mexican immigrant', 'Mexican American (communities)',\n",
+    "                 'Mexican American (Spanish)', 'Mexican American (interest)']\n",
+    "Y = pd.np.arange(len(all_gen_assim))+1\n",
+    "plt.boxplot(all_gen_assim, vert=False)\n",
+    "plt.yticks(Y, all_gen_names)\n",
+    "plt.xscale('log')\n",
+    "plt.title('Assimilation scores by generation', fontsize=18)\n",
+    "plt.show()\n",
+    "# dot plot (median plus errors)\n",
+    "plt.scatter(all_gen_assim_medians, Y, color='b')\n",
+    "plt.errorbar(all_gen_assim_medians, Y, xerr=all_gen_assim_median_error, color='b', fmt='none')\n",
+    "plt.yticks(Y, all_gen_names)\n",
+    "# plt.xscale('log')\n",
+    "plt.title('Assimilation scores by generation', fontsize=18)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's do pairwise testing to determine the actual differences."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mexican immigrant vs. Mexican American (communities) has median difference -0.310 (test_stat=74.000, p=3.309E-03)\n",
+      "Mexican immigrant vs. Mexican American (Spanish) has median difference 0.802 (test_stat=0.000, p=3.790E-06)\n",
+      "Mexican immigrant vs. Mexican American (interest) has median difference -0.079 (test_stat=146.000, p=1.943E-01)\n",
+      "Mexican American (communities) vs. Mexican American (Spanish) has median difference 1.079 (test_stat=8.000, p=8.978E-06)\n",
+      "Mexican American (communities) vs. Mexican American (interest) has median difference 0.134 (test_stat=26.000, p=5.565E-05)\n",
+      "Mexican American (Spanish) vs. Mexican American (interest) has median difference -0.853 (test_stat=10.000, p=1.108E-05)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from scipy.stats import wilcoxon\n",
+    "for i in range(len(all_gen_assim_log)):\n",
+    "    scores_i = all_gen_assim_log[i]\n",
+    "    name_i = all_gen_names[i]\n",
+    "    for j in range(i+1, len(all_gen_assim_log)):\n",
+    "        scores_j = all_gen_assim_log[j]\n",
+    "        name_j = all_gen_names[j]\n",
+    "        median_diff = np.median(scores_i - scores_j)\n",
+    "        test_stat, p_val = wilcoxon(scores_i, scores_j)\n",
+    "        print('%s vs. %s has median difference %.3f (test_stat=%.3f, p=%.3E)'%(name_i, name_j, median_diff, test_stat, p_val))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "If nothing else it seems like the first generation is more consistent (lower variance). This might mean that the second generation is branching out more to new music tastes."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Top-k assimilation scores per generation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What are the top-scoring interests for each group?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "top/bottom 20 scoring interests for Mexican immigrant\n",
+      "Gangsta rap                   1.867308\n",
+      "Beautiful music               1.467171\n",
+      "Sampling (music)              0.884960\n",
+      "Free jazz                     0.883458\n",
+      "Organ (music)                 0.830727\n",
+      "1990s in music                0.812587\n",
+      "Hook (music)                  0.770984\n",
+      "Western swing                 0.769450\n",
+      "Nu metal                      0.724955\n",
+      "Swing music                   0.711356\n",
+      "Progressive rock              0.684680\n",
+      "Adult contemporary music      0.677156\n",
+      "Traditional pop music         0.639034\n",
+      "Contemporary worship music    0.619472\n",
+      "Southern soul                 0.613544\n",
+      "Alternative metal             0.605499\n",
+      "Beat (music)                  0.570566\n",
+      "Roots rock                    0.565132\n",
+      "Christian rock                0.562415\n",
+      "Grunge                        0.524842\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Nu metal                      0.724955\n",
+      "Swing music                   0.711356\n",
+      "Progressive rock              0.684680\n",
+      "Adult contemporary music      0.677156\n",
+      "Traditional pop music         0.639034\n",
+      "Contemporary worship music    0.619472\n",
+      "Southern soul                 0.613544\n",
+      "Alternative metal             0.605499\n",
+      "Beat (music)                  0.570566\n",
+      "Roots rock                    0.565132\n",
+      "Christian rock                0.562415\n",
+      "Grunge                        0.524842\n",
+      "Hard rock                     0.515733\n",
+      "1970s in music                0.430370\n",
+      "Country music                 0.406293\n",
+      "Alternative country           0.400137\n",
+      "Bluegrass music               0.370868\n",
+      "Tonic (music)                 0.365730\n",
+      "American folk music           0.363299\n",
+      "Appalachian music             0.331054\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "top/bottom 20 scoring interests for Mexican American (communities)\n",
+      "Gangsta rap                   2.882054\n",
+      "Beautiful music               1.986187\n",
+      "1990s in music                1.292784\n",
+      "Adult contemporary music      1.175258\n",
+      "Roots rock                    1.103437\n",
+      "Southern soul                 1.076430\n",
+      "Nu metal                      1.033536\n",
+      "Western swing                 1.018557\n",
+      "Traditional pop music         0.916702\n",
+      "Alternative metal             0.836672\n",
+      "Christian rock                0.811663\n",
+      "Progressive rock              0.773467\n",
+      "1970s in music                0.763918\n",
+      "Grunge                        0.763918\n",
+      "Contemporary worship music    0.721478\n",
+      "Hook (music)                  0.674045\n",
+      "Alternative country           0.659747\n",
+      "Sampling (music)              0.636598\n",
+      "Hard rock                     0.611134\n",
+      "Beat (music)                  0.604768\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Traditional pop music         0.916702\n",
+      "Alternative metal             0.836672\n",
+      "Christian rock                0.811663\n",
+      "Progressive rock              0.773467\n",
+      "1970s in music                0.763918\n",
+      "Grunge                        0.763918\n",
+      "Contemporary worship music    0.721478\n",
+      "Hook (music)                  0.674045\n",
+      "Alternative country           0.659747\n",
+      "Sampling (music)              0.636598\n",
+      "Hard rock                     0.611134\n",
+      "Beat (music)                  0.604768\n",
+      "Swing music                   0.572939\n",
+      "Free jazz                     0.517493\n",
+      "Bluegrass music               0.509279\n",
+      "Organ (music)                 0.481373\n",
+      "American folk music           0.480177\n",
+      "Country music                 0.470103\n",
+      "Appalachian music             0.458351\n",
+      "Tonic (music)                 0.398566\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "top/bottom 20 scoring interests for Mexican American (Spanish)\n",
+      "Gangsta rap                   1.406822\n",
+      "Beautiful music               0.905144\n",
+      "Sampling (music)              0.723003\n",
+      "Free jazz                     0.715827\n",
+      "Hook (music)                  0.652665\n",
+      "Swing music                   0.544148\n",
+      "Progressive rock              0.489070\n",
+      "Contemporary worship music    0.486637\n",
+      "Beat (music)                  0.462305\n",
+      "Organ (music)                 0.311981\n",
+      "1990s in music                0.309950\n",
+      "Hard rock                     0.297291\n",
+      "Christian rock                0.295632\n",
+      "Country music                 0.291982\n",
+      "Alternative metal             0.264174\n",
+      "Nu metal                      0.261066\n",
+      "Traditional pop music         0.253051\n",
+      "Grunge                        0.242131\n",
+      "Tonic (music)                 0.213274\n",
+      "Roots rock                    0.201143\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Beat (music)                0.462305\n",
+      "Organ (music)               0.311981\n",
+      "1990s in music              0.309950\n",
+      "Hard rock                   0.297291\n",
+      "Christian rock              0.295632\n",
+      "Country music               0.291982\n",
+      "Alternative metal           0.264174\n",
+      "Nu metal                    0.261066\n",
+      "Traditional pop music       0.253051\n",
+      "Grunge                      0.242131\n",
+      "Tonic (music)               0.213274\n",
+      "Roots rock                  0.201143\n",
+      "Adult contemporary music    0.193157\n",
+      "Southern soul               0.151300\n",
+      "American folk music         0.145991\n",
+      "Western swing               0.136258\n",
+      "Appalachian music           0.125777\n",
+      "1970s in music              0.089541\n",
+      "Bluegrass music             0.069346\n",
+      "Alternative country         0.069014\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "top/bottom 20 scoring interests for Mexican American (interest)\n",
+      "Gangsta rap                   2.910741\n",
+      "Beautiful music               1.685166\n",
+      "1990s in music                1.037025\n",
+      "Nu metal                      0.925189\n",
+      "Roots rock                    0.748963\n",
+      "Alternative metal             0.722214\n",
+      "Progressive rock              0.688109\n",
+      "Contemporary worship music    0.686549\n",
+      "Sampling (music)              0.668717\n",
+      "Traditional pop music         0.651598\n",
+      "Adult contemporary music      0.639499\n",
+      "Hook (music)                  0.634415\n",
+      "Christian rock                0.631937\n",
+      "Grunge                        0.630225\n",
+      "Western swing                 0.629129\n",
+      "Southern soul                 0.612788\n",
+      "Beat (music)                  0.608532\n",
+      "Free jazz                     0.579842\n",
+      "Hard rock                     0.551509\n",
+      "Swing music                   0.510656\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Sampling (music)            0.668717\n",
+      "Traditional pop music       0.651598\n",
+      "Adult contemporary music    0.639499\n",
+      "Hook (music)                0.634415\n",
+      "Christian rock              0.631937\n",
+      "Grunge                      0.630225\n",
+      "Western swing               0.629129\n",
+      "Southern soul               0.612788\n",
+      "Beat (music)                0.608532\n",
+      "Free jazz                   0.579842\n",
+      "Hard rock                   0.551509\n",
+      "Swing music                 0.510656\n",
+      "Country music               0.475303\n",
+      "1970s in music              0.449378\n",
+      "American folk music         0.441353\n",
+      "Alternative country         0.439164\n",
+      "Appalachian music           0.406168\n",
+      "Tonic (music)               0.400532\n",
+      "Organ (music)               0.400131\n",
+      "Bluegrass music             0.374481\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "             Mexican immigrant Mexican American (communities)  \\\n",
+      "0                  Gangsta rap                    Gangsta rap   \n",
+      "1              Beautiful music                Beautiful music   \n",
+      "2             Sampling (music)                 1990s in music   \n",
+      "3                    Free jazz       Adult contemporary music   \n",
+      "4                Organ (music)                     Roots rock   \n",
+      "5               1990s in music                  Southern soul   \n",
+      "6                 Hook (music)                       Nu metal   \n",
+      "7                Western swing                  Western swing   \n",
+      "8                     Nu metal          Traditional pop music   \n",
+      "9                  Swing music              Alternative metal   \n",
+      "10            Progressive rock                 Christian rock   \n",
+      "11    Adult contemporary music               Progressive rock   \n",
+      "12       Traditional pop music                 1970s in music   \n",
+      "13  Contemporary worship music                         Grunge   \n",
+      "14               Southern soul     Contemporary worship music   \n",
+      "15           Alternative metal                   Hook (music)   \n",
+      "16                Beat (music)            Alternative country   \n",
+      "17                  Roots rock               Sampling (music)   \n",
+      "18              Christian rock                      Hard rock   \n",
+      "19                      Grunge                   Beat (music)   \n",
+      "\n",
+      "    Mexican American (Spanish) Mexican American (interest)  \n",
+      "0                  Gangsta rap                 Gangsta rap  \n",
+      "1              Beautiful music             Beautiful music  \n",
+      "2             Sampling (music)              1990s in music  \n",
+      "3                    Free jazz                    Nu metal  \n",
+      "4                 Hook (music)                  Roots rock  \n",
+      "5                  Swing music           Alternative metal  \n",
+      "6             Progressive rock            Progressive rock  \n",
+      "7   Contemporary worship music  Contemporary worship music  \n",
+      "8                 Beat (music)            Sampling (music)  \n",
+      "9                Organ (music)       Traditional pop music  \n",
+      "10              1990s in music    Adult contemporary music  \n",
+      "11                   Hard rock                Hook (music)  \n",
+      "12              Christian rock              Christian rock  \n",
+      "13               Country music                      Grunge  \n",
+      "14           Alternative metal               Western swing  \n",
+      "15                    Nu metal               Southern soul  \n",
+      "16       Traditional pop music                Beat (music)  \n",
+      "17                      Grunge                   Free jazz  \n",
+      "18               Tonic (music)                   Hard rock  \n",
+      "19                  Roots rock                 Swing music  \n"
+     ]
+    }
+   ],
+   "source": [
+    "# print separately\n",
+    "top_k = 20\n",
+    "for g_name, g_scores in izip(all_gen_names, all_gen_assim):\n",
+    "    print('top/bottom %d scoring interests for %s'%(top_k, g_name))\n",
+    "    g_scores.sort_values(inplace=True, ascending=False)\n",
+    "    print(g_scores.head(top_k))\n",
+    "    print(g_scores.tail(top_k))\n",
+    "# print together\n",
+    "top_k_interests = pd.concat([pd.Series(g_scores.sort_values(inplace=False, ascending=False).head(top_k).index.tolist()) for g_scores in all_gen_assim], axis=1)\n",
+    "top_k_interests.columns = all_gen_names\n",
+    "top_k_interests.index = np.arange(top_k)\n",
+    "print(top_k_interests)\n",
+    "# print(top_k_interests.to_latex())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How does this look if we stick to the high percentiles (50-95)?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "top/bottom 50-95 scoring interests for Mexican immigrant\n",
+      "Sampling (music)              0.884960\n",
+      "Free jazz                     0.883458\n",
+      "Organ (music)                 0.830727\n",
+      "1990s in music                0.812587\n",
+      "Hook (music)                  0.770984\n",
+      "Western swing                 0.769450\n",
+      "Nu metal                      0.724955\n",
+      "Swing music                   0.711356\n",
+      "Progressive rock              0.684680\n",
+      "Adult contemporary music      0.677156\n",
+      "Traditional pop music         0.639034\n",
+      "Contemporary worship music    0.619472\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "top/bottom 50-95 scoring interests for Mexican American (communities)\n",
+      "1990s in music              1.292784\n",
+      "Adult contemporary music    1.175258\n",
+      "Roots rock                  1.103437\n",
+      "Southern soul               1.076430\n",
+      "Nu metal                    1.033536\n",
+      "Western swing               1.018557\n",
+      "Traditional pop music       0.916702\n",
+      "Alternative metal           0.836672\n",
+      "Christian rock              0.811663\n",
+      "Progressive rock            0.773467\n",
+      "1970s in music              0.763918\n",
+      "Grunge                      0.763918\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "top/bottom 50-95 scoring interests for Mexican American (Spanish)\n",
+      "Sampling (music)              0.723003\n",
+      "Free jazz                     0.715827\n",
+      "Hook (music)                  0.652665\n",
+      "Swing music                   0.544148\n",
+      "Progressive rock              0.489070\n",
+      "Contemporary worship music    0.486637\n",
+      "Beat (music)                  0.462305\n",
+      "Organ (music)                 0.311981\n",
+      "1990s in music                0.309950\n",
+      "Hard rock                     0.297291\n",
+      "Christian rock                0.295632\n",
+      "Country music                 0.291982\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "top/bottom 50-95 scoring interests for Mexican American (interest)\n",
+      "1990s in music                1.037025\n",
+      "Nu metal                      0.925189\n",
+      "Roots rock                    0.748963\n",
+      "Alternative metal             0.722214\n",
+      "Progressive rock              0.688109\n",
+      "Contemporary worship music    0.686549\n",
+      "Sampling (music)              0.668717\n",
+      "Traditional pop music         0.651598\n",
+      "Adult contemporary music      0.639499\n",
+      "Hook (music)                  0.634415\n",
+      "Christian rock                0.631937\n",
+      "Grunge                        0.630225\n",
+      "Name: mau_audience_pct, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "low_pct = 50\n",
+    "top_pct = 95\n",
+    "for g_name, g_scores in izip(all_gen_names, all_gen_assim):\n",
+    "    print('top/bottom %d-%d scoring interests for %s'%(low_pct, top_pct, g_name))\n",
+    "    g_scores.sort_values(inplace=True, ascending=False)\n",
+    "    g_scores_i = g_scores[(g_scores > np.percentile(g_scores, low_pct)) & \n",
+    "                          (g_scores < np.percentile(g_scores, top_pct))]\n",
+    "    print(g_scores_i)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Old code\n",
+    "Before we updated the definition of \"native\"."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Latin American assimilation scores"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "How many of the top assimilation scores are Latin-American, for each generation?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's figure out which genres are Latin American."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "133 Latin genres\n",
+      "['Abwe', 'Afro-Cuban jazz', 'Andean music', 'Argentine cumbia', 'Argentine rock', 'Axe (music)', 'Bachata (music)', 'Bachaton', 'Baiao (music)', 'Bele', 'Biguine', 'Bolero', 'Bomba (Puerto Rico)', 'Boogaloo', 'Bossa nova', 'Brazilian hip hop', 'Brazilian rock', 'Brega (music)', 'Cadence rampa', 'Cadence-lypso', 'Cancion', 'Candombe', 'Capoeira music', 'Chacarera', 'Chamame', 'Champeta', 'Changui', 'Charanga (Cuba)', 'Chicano rap', 'Chicano rock', 'Choro', 'Chutney music', 'Coco (music)', 'Coimbra Fado', 'Conjunto', 'Corrido', 'Criolla', 'Cuarteto', 'Cuban rumba', 'Cueca', 'Cumbia', 'Cumbia villera', 'Danza', 'Danzon', 'Decima', 'Deejay (Jamaican)', 'Duranguense', 'Fado', 'Flamenco', 'Forro', 'Funk carioca', 'Funk ostentacao', 'Grupera', 'Guaguanco', 'Guajira (music)', 'Guaracha', 'Gwo ka', 'Huapango', 'Huayno', 'Jarocho', 'Jongo', 'Joropo', 'Lambada', 'Latin American music', 'Latin ballad', 'Latin dance', 'Latin hip hop', 'Latin jazz', 'Latin pop', 'Latin soul', 'List of Caribbean music genres', 'Mambo (music)', 'Marchinha', 'Mariachi', 'Merengue music', 'Merengue tipico', 'Mexican cumbia', 'Mexican pop music', 'Milonga (music)', 'Moombahton', 'Music of Brazil', 'Music of Cuba', 'Music of Ecuador', 'Music of Mexico', 'Musica popular brasileira', 'Musica sertaneja', 'Narcocorrido', 'Norteno (music)', 'Nueva cancion', 'Nueva trova', 'Orquesta tipica', 'Pachanga', 'Pagode', 'Pagode (music)', 'Peruvian cumbia', 'Plena', 'Punta', 'Punto guajiro', 'Ranchera', 'Rapping', 'Reggae', 'Reggae en Espanol', 'Reggae fusion', 'Reggaeton', 'Regional styles of Mexican music', 'Rock en espanol', 'Rondalla', 'Rumba', 'Salsa dura', 'Salsa music', 'Salsa romantica', 'Samba', 'Samba rock', 'Samba-cancao', 'Sambass', 'Ska', 'Soca music', 'Son (music)', 'Son Huasteco', 'Son Jarocho', 'Son montuno', 'Songo music', 'Tango', 'Tango music', 'Tecno brega', 'Tejano music', 'Timba', 'Trival', 'Trova', 'Vallenato', 'Ye-ye', 'Zamba (artform)', 'Zouk']\n",
+      "12 valid genres\n",
+      "Hispanic_MX_1 has 10/50 Latin interests with median score 7.053\n",
+      "Hispanic_MX_2_communities has 7/50 Latin interests with median score 7.525\n",
+      "Hispanic_MX_2_Spanish has 4/50 Latin interests with median score 0.133\n",
+      "Hispanic_MX_2_interest has 7/50 Latin interests with median score 1.619\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import unicodedata\n",
+    "genre_categories = json.load(open('../../data/queries/music_genre_interests_grouped.json'))\n",
+    "latin_genre_categories = ['Latin music genres', 'Latin American styles of music',\n",
+    "                          'Latin American music', 'South American music',\n",
+    "                          'Caribbean music', 'Cuban styles of music']\n",
+    "latin_genres = reduce(lambda x,y: x | y, [set(c['genres']) for c in genre_categories if c['super-genre'] in latin_genre_categories])\n",
+    "# clean up to match assimilation names\n",
+    "latin_genres = [unicodedata.normalize('NFKD', x).encode('ascii', 'ignore') for x in latin_genres]\n",
+    "print('%d Latin genres'%(len(latin_genres)))\n",
+    "print(sorted(latin_genres))\n",
+    "assim_genres_str = [i.encode('utf-8') for i in all_gen_assim[0].index]\n",
+    "print('%d valid genres'%(len(set(assim_genres_str) & set(latin_genres))))\n",
+    "# now compute number of Latin genres in top-k\n",
+    "top_k = 50\n",
+    "for g_name, g_scores in izip(all_gen_names, all_gen_assim):\n",
+    "    g_scores_i = g_scores.sort_values(inplace=False, ascending=False).head(top_k)\n",
+    "    g_scores_i.index = [i.encode('utf-8') for i in g_scores_i.index]\n",
+    "    g_scores_latin = g_scores_i[g_scores_i.index.isin(latin_genres)]\n",
+    "    print('%s has %d/%d Latin interests with median score %.3f'%\n",
+    "          (g_name, g_scores_latin.shape[0], top_k, np.median(g_scores_latin)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Ethnic comparison\n",
+    "Compare assimilation across white, black, Hispanic groups.\n",
+    "\n",
+    "Separate plot for each reference group."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "from itertools import izip\n",
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import simplify_audience_output, clean_pop_data, compute_assimilation\n",
+    "from scipy.stats import median_test, levene\n",
+    "white_data = pd.read_csv('../../data/query_results/US_white_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "black_data = pd.read_csv('../../data/query_results/US_African_American_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "hispanic_data = pd.read_csv('../../data/query_results/US_Hispanic_music.tsv',\n",
+    "                            sep='\\t', index_col=False)\n",
+    "source_data = pd.read_csv('../../data/query_results/all_MX_music.tsv',\n",
+    "                          sep='\\t', index_col=False)\n",
+    "expat_data = pd.read_csv('../../data/query_results/Hispanic_MX_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "ethnic_group_data = [white_data, black_data, hispanic_data]\n",
+    "ethnic_group_names = ['Anglo', 'African American', 'Hispanic']\n",
+    "# process\n",
+    "# ethnic_group_data = [simplify_audience_output(d) for d in ethnic_group_data]\n",
+    "# source_data = simplify_audience_output(source_data)\n",
+    "shared_interests = mx_interest_data.loc[:, 'interest_name'].unique().tolist()\n",
+    "# fix min-count problem\n",
+    "MIN_COUNT = 1000\n",
+    "def replace_min_count(x, count_var, MIN_COUNT):\n",
+    "    x.loc[:, count_var] = x.loc[:, count_var].replace(MIN_COUNT, 1)\n",
+    "    return  x\n",
+    "ethnic_group_data = [replace_min_count(d, count_var, MIN_COUNT) for d in ethnic_group_data]\n",
+    "# clean\n",
+    "count_var = 'mau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "ethnic_group_data = [clean_pop_data(d, shared_interests, count_var=count_var) for d in ethnic_group_data]\n",
+    "ethnic_group_pcts = []\n",
+    "for g in ethnic_group_data:\n",
+    "    g.index = g.loc[:, 'interest_name'].values\n",
+    "    g_pct = g.loc[:, count_var_pct]\n",
+    "    ethnic_group_pcts.append(g_pct)\n",
+    "source_data = replace_min_count(source_data, count_var, MIN_COUNT)\n",
+    "source_data = clean_pop_data(source_data, shared_interests, count_var=count_var)\n",
+    "source_pct = source_data.loc[:, count_var_pct]\n",
+    "source_pct.index = source_data.loc[:, 'interest_name']\n",
+    "# expat data\n",
+    "expat_data = replace_min_count(expat_data, count_var, MIN_COUNT)\n",
+    "expat_data = clean_pop_data(expat_data, shared_interests, count_var=count_var)\n",
+    "expat_pct = expat_data.loc[:, count_var_pct]\n",
+    "expat_pct.index = expat_data.loc[:, 'interest_name']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "testing ethnic group Anglo\n",
+      "scores have different median: grand median -6.858E-01 stat=1.535E+02 (p=4.705E-33)\n",
+      "scores have different variance: stat=7.719E+00 (p=4.536E-05)\n",
+      "testing ethnic group African American\n",
+      "scores have different median: grand median -4.181E-01 stat=2.136E+02 (p=4.778E-46)\n",
+      "scores have different variance: stat=1.750E+01 (p=5.014E-11)\n",
+      "testing ethnic group Hispanic\n",
+      "scores have different median: grand median -2.636E-01 stat=2.425E+02 (p=2.722E-52)\n",
+      "scores have different variance: stat=2.129E+01 (p=3.470E-13)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xd94de48>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# compute assimilation\n",
+    "# and plot, test, etc.\n",
+    "top_dest_pct = 50\n",
+    "# expat data/names\n",
+    "expat_data = [expat_pct, mx_interest_pct, spanish_pct, mx_communities_pct]\n",
+    "expat_names = ['Hispanic_MX', 'MX_interest', 'Spanish', 'MX_communities']\n",
+    "Y = pd.np.arange(len(expat_data))+1\n",
+    "# keep track of x-min and max to align the axes later\n",
+    "x_min = np.inf\n",
+    "x_max = -np.inf\n",
+    "cols = len(ethnic_group_pcts)\n",
+    "rows = 1\n",
+    "f, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(4*cols, 4*rows))\n",
+    "default_assim_val = 0.\n",
+    "ethnic_assim_scores_combined = []\n",
+    "for i, (g_pct, g_name) in enumerate(zip(ethnic_group_pcts, ethnic_group_names)):\n",
+    "    print('testing ethnic group %s'%(g_name))\n",
+    "    ethnic_assim_scores = []\n",
+    "    for e_pct, e_name in izip(expat_data, expat_names):\n",
+    "        g_assim = compute_assimilation(source_pct, g_pct, e_pct,\n",
+    "                                       TOP_DEST_PCT=top_dest_pct,\n",
+    "                                       score_type='/')\n",
+    "        # log scores\n",
+    "        g_assim = np.log(g_assim)\n",
+    "        ethnic_assim_scores.append(g_assim)\n",
+    "        x_min = min(x_min, min(g_assim))\n",
+    "        x_max = max(x_max, max(g_assim))\n",
+    "    ethnic_assim_scores_combined.append(ethnic_assim_scores)\n",
+    "    r = int(i / cols)\n",
+    "    c = i % cols\n",
+    "    ax = axs[i]\n",
+    "    ax.boxplot(ethnic_assim_scores, vert=False)\n",
+    "    if(c == 0):\n",
+    "        ax.set_yticklabels(expat_names)\n",
+    "    else:\n",
+    "        ax.tick_params(axis='y', left=False, labelleft=False)\n",
+    "    ax.set_title(g_name, fontsize=18)\n",
+    "    # plot \"normal\" assimilation value line (AR=log(1)=0)\n",
+    "    ax.vlines(default_assim_val, 0, max(Y)+1, color='k', linestyle='--')\n",
+    "    # test medians\n",
+    "    test_stat, p_val, grand_med, contingency_table = median_test(*ethnic_assim_scores)\n",
+    "    print('scores have different median: grand median %.3E stat=%.3E (p=%.3E)'%(grand_med, test_stat, p_val))\n",
+    "    # test variance\n",
+    "    test_stat, p_val = levene(*ethnic_assim_scores)\n",
+    "    print('scores have different variance: stat=%.3E (p=%.3E)'%(test_stat, p_val))\n",
+    "    # pairwise comparisons\n",
+    "# fix x axis\n",
+    "for i in range(len(ethnic_group_pcts)):\n",
+    "    ax = axs[i]\n",
+    "    ax.set_xlim(x_min, x_max)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    " Similar distributions, but we also have interesting clumps with the Hispanic destination population (see `MX_interest` and `MX_communities`). This means that the population is either (1) neatly assimilating or (2) not at all assimilating to the Hispanic population. This effect persists even after increasing `TOP_DEST_PCT` (from 50 to 90)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We need to clean this up a bit:\n",
+    "\n",
+    "- only include Anglo and African American for ethnic groups\n",
+    "- add native Mexicans\n",
+    "- change label names to \"Mexicans in Mexico\", \"Mexican immigrants (1st gen)\", \"Mexican-Americans (2nd gen)\", \"Mexican interests\", \"Mexican communities\", \"Spanish-speaking\", \"All Hispanic\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import utils\n",
+    "reload(utils)\n",
+    "from utils import clean_pop_data\n",
+    "# reload everything to be safe\n",
+    "white_data = pd.read_csv('../../data/query_results/US_native_white_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "black_data = pd.read_csv('../../data/query_results/US_native_black_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "hispanic_data = pd.read_csv('../../data/query_results/US_native_Hispanic_music.tsv',\n",
+    "                            sep='\\t', index_col=False)\n",
+    "expat_data = pd.read_csv('../../data/query_results/Hispanic_MX_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "mx_interest_data = pd.read_csv('../../data/query_results/US_MX_interest_native_music.tsv',\n",
+    "                              sep='\\t', index_col=False)\n",
+    "spanish_data = pd.read_csv('../../data/query_results/hispanic_Spanish_native_music.tsv',\n",
+    "                           sep='\\t', index_col=False)\n",
+    "mx_communities_data = pd.read_csv('../../data/query_results/hispanic_native_MX_community_music.tsv',\n",
+    "                                  sep='\\t', index_col=False)\n",
+    "mx_data = pd.read_csv('../../data/query_results/MX_native_music.tsv',\n",
+    "                          sep='\\t', index_col=False)\n",
+    "## fix expat data first\n",
+    "def norm_to_pct(x, shared_interests=None, count_var='mau_audience', replace_min=False, min_count=1):\n",
+    "    count_var_pct = '%s_pct'%(count_var)\n",
+    "    x_clean = clean_pop_data(x.copy(), shared_interests=shared_interests, count_var=count_var, replace_min=replace_min, min_count=min_count)\n",
+    "    x_pct = x_clean.loc[:, count_var_pct]\n",
+    "    x_pct.index = x_clean.loc[:, 'interest_name'].values\n",
+    "    return x_pct\n",
+    "count_var = 'mau_audience'\n",
+    "expat_names = ['Mexicans in Mexico', \n",
+    "               'Mexican immigrants', \n",
+    "               'Mexican-Americans (Spanish)',\n",
+    "               'Mexican-Americans (interest)', \n",
+    "               'Mexican-Americans (communities)',\n",
+    "               'U.S. Hispanics']\n",
+    "MIN_COUNT=1000\n",
+    "expat_data_list = [mx_data, expat_data, spanish_data, mx_interest_data, mx_communities_data, hispanic_data]\n",
+    "expat_pct_list = [norm_to_pct(d.copy(), count_var=count_var, replace_min=True, min_count=MIN_COUNT) for d in expat_data_list]\n",
+    "# get source percent for assimilation\n",
+    "source_pct = expat_pct_list[0]\n",
+    "shared_interests = source_pct.index.tolist()\n",
+    "dest_data_list = [black_data, white_data]\n",
+    "dest_names = ['African Americans', 'Anglos']\n",
+    "dest_pct_list = [norm_to_pct(d.copy(), shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=MIN_COUNT) for d in dest_data_list]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "testing ethnic group African Americans\n",
+      "testing ethnic group Anglos\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x102cc710>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# plot again\n",
+    "Y = pd.np.arange(len(expat_pct_list))+1\n",
+    "Y_expat_dest = pd.np.arange(len(expat_pct_list)+len(dest_names)-1)+1\n",
+    "# keep track of x-min and max to align the axes later\n",
+    "x_min = np.inf\n",
+    "x_max = -np.inf\n",
+    "cols = len(dest_pct_list)\n",
+    "rows = 1\n",
+    "f, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(6*cols, 4*rows))\n",
+    "default_assim_val = 0.\n",
+    "top_dest_pct = 50\n",
+    "dest_assim_scores_combined = []\n",
+    "for i, (d_pct, d_name) in enumerate(zip(dest_pct_list, dest_names)):\n",
+    "    print('testing ethnic group %s'%(d_name))\n",
+    "    dest_assim_scores = []\n",
+    "    # we want to plot all expats and the other dests\n",
+    "    other_dest_idx = [j for j in range(len(dest_pct_list)) if j != i]\n",
+    "    other_dest_names = [dest_names[j] for j in other_dest_idx]\n",
+    "    other_dest_pct = [dest_pct_list[j] for j in other_dest_idx]\n",
+    "    expat_dest_names = expat_names + other_dest_names\n",
+    "    expat_dest_pct_list = expat_pct_list + other_dest_pct\n",
+    "    for e_pct, e_name in izip(expat_dest_pct_list, expat_dest_names):\n",
+    "        d_assim = compute_assimilation(source_pct, d_pct, e_pct,\n",
+    "                                       TOP_DEST_PCT=top_dest_pct,\n",
+    "                                       score_type='/')\n",
+    "        # log scores\n",
+    "        d_assim = np.log(d_assim)\n",
+    "        dest_assim_scores.append(d_assim)\n",
+    "        x_min = min(x_min, min(d_assim))\n",
+    "        x_max = max(x_max, max(d_assim))\n",
+    "    r = int(i / cols)\n",
+    "    c = i % cols\n",
+    "    ax = axs[i]\n",
+    "    ax.boxplot(dest_assim_scores, vert=False)\n",
+    "    # only plot first tick labels\n",
+    "#     if(c == 0):\n",
+    "#         ax.set_yticklabels(expat_dest_names)\n",
+    "#     else:\n",
+    "#         ax.tick_params(axis='y', left=False, labelleft=False)\n",
+    "    ax.set_yticklabels(expat_dest_names)\n",
+    "    ax.set_title(d_name, fontsize=18)\n",
+    "    # plot \"normal\" assimilation value line (AR=log(1)=0)\n",
+    "    ax.vlines(default_assim_val, 0, max(Y)+1, color='k', linestyle='--')\n",
+    "    # test medians\n",
+    "#     test_stat, p_val, grand_med, contingency_table = median_test(*ethnic_assim_scores)\n",
+    "#     print('scores have different median: grand median %.3E stat=%.3E (p=%.3E)'%(grand_med, test_stat, p_val))\n",
+    "    # test variance\n",
+    "#     test_stat, p_val = levene(*ethnic_assim_scores)\n",
+    "#     print('scores have different variance: stat=%.3E (p=%.3E)'%(test_stat, p_val))\n",
+    "    # pairwise comparisons\n",
+    "    dest_assim_scores_combined.append(dest_assim_scores)\n",
+    "# fix x axis\n",
+    "for i in range(len(dest_data_list)):\n",
+    "    ax = axs[i]\n",
+    "    ax.set_xlim(x_min, x_max)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Pairwise ethnicity tests"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's do pairwise testing across ethnicities to compare relative assimilation rates."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "expat group Mexicans in Mexico: group African Americans vs. Anglos\n",
+      "difference between paired scores = 2.778E-01, stat = 4.008E+03 (p=2.012E-01)\n",
+      "Mexicans in Mexico vs. African Americans median score: -2.191E+00, test stat = -8.400E+01 (p=5.346E-51)\n",
+      "Mexicans in Mexico vs. Anglos median score: -1.951E+00, test stat = -1.090E+02 (p=4.748E-66)\n",
+      "expat group Mexican immigrants: group African Americans vs. Anglos\n",
+      "difference between paired scores = 2.778E-01, stat = 4.008E+03 (p=2.012E-01)\n",
+      "Mexican immigrants vs. African Americans median score: -2.459E-01, test stat = -2.400E+01 (p=2.637E-04)\n",
+      "Mexican immigrants vs. Anglos median score: -4.597E-01, test stat = -5.600E+01 (p=1.418E-14)\n",
+      "expat group Mexican-Americans (Spanish): group African Americans vs. Anglos\n",
+      "difference between paired scores = 2.778E-01, stat = 4.008E+03 (p=2.012E-01)\n",
+      "Mexican-Americans (Spanish) vs. African Americans median score: -5.298E+00, test stat = -8.300E+01 (p=9.034E-49)\n",
+      "Mexican-Americans (Spanish) vs. Anglos median score: -5.013E+00, test stat = -1.020E+02 (p=2.068E-53)\n",
+      "expat group Mexican-Americans (interest): group African Americans vs. Anglos\n",
+      "difference between paired scores = 2.778E-01, stat = 4.008E+03 (p=2.012E-01)\n",
+      "Mexican-Americans (interest) vs. African Americans median score: -1.635E-01, test stat = -1.200E+01 (p=7.567E-02)\n",
+      "Mexican-Americans (interest) vs. Anglos median score: -3.288E-01, test stat = -4.300E+01 (p=5.481E-09)\n",
+      "expat group Mexican-Americans (communities): group African Americans vs. Anglos\n",
+      "difference between paired scores = 2.778E-01, stat = 4.008E+03 (p=2.012E-01)\n",
+      "Mexican-Americans (communities) vs. African Americans median score: -3.493E-01, test stat = -3.300E+01 (p=3.805E-07)\n",
+      "Mexican-Americans (communities) vs. Anglos median score: -5.566E-01, test stat = -6.900E+01 (p=5.683E-22)\n",
+      "expat group U.S. Hispanics: group African Americans vs. Anglos\n",
+      "difference between paired scores = 2.778E-01, stat = 4.008E+03 (p=2.012E-01)\n",
+      "U.S. Hispanics vs. African Americans median score: -1.051E-01, test stat = -1.300E+01 (p=5.343E-02)\n",
+      "U.S. Hispanics vs. Anglos median score: -2.774E-01, test stat = -3.800E+01 (p=2.897E-07)\n"
+     ]
+    }
+   ],
+   "source": [
+    "from scipy.stats import wilcoxon\n",
+    "from statsmodels.stats.descriptivestats import sign_test\n",
+    "null_median = 0\n",
+    "for j in range(len(expat_data_list)):\n",
+    "    expat_name_j = expat_names[j]\n",
+    "    for i in range(len(dest_assim_scores_combined)):\n",
+    "        scores_i = dest_assim_scores_combined[i][j]\n",
+    "        dest_name_i = dest_names[i]\n",
+    "        for k in range(i+1, len(dest_assim_scores_combined)):\n",
+    "            scores_k = dest_assim_scores_combined[k][j]\n",
+    "            shared_interests = scores_i.index & scores_k.index\n",
+    "            scores_i_shared = scores_i.loc[shared_interests]\n",
+    "            scores_k_shared = scores_k.loc[shared_interests]\n",
+    "            dest_name_k = dest_names[k]\n",
+    "            print('expat group %s: group %s vs. %s'%(expat_name_j, dest_name_i, dest_name_k))\n",
+    "            test_stat, p_val = wilcoxon(scores_i.loc[shared_interests], \n",
+    "                                        scores_k.loc[shared_interests])\n",
+    "            diff_i_k = scores_i.loc[shared_interests] - scores_k.loc[shared_interests]\n",
+    "            print('difference between paired scores = %.3E, stat = %.3E (p=%.3E)'%\n",
+    "                  (diff_i_k.median(), test_stat, p_val))\n",
+    "        # sign test to compare median to 0\n",
+    "        test_stat, p_val = sign_test(scores_i, mu0=null_median)\n",
+    "        print('%s vs. %s median score: %.3E, test stat = %.3E (p=%.3E)'%\n",
+    "              (expat_name_j, dest_name_i, scores_i.median(), test_stat, p_val))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Actually, most of these scores are below the expected median (0)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Bimodal test"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Test for bimodality using the [Dip test](https://github.com/kjohnsson/modality/blob/master/modality/diptest.py)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from __future__ import division\n",
+    "# import rpy2\n",
+    "from collections import Counter\n",
+    "import numpy as np\n",
+    "\n",
+    "# rpy2 doesn't work so we did it live\n",
+    "qDiptab_df = pd.read_csv('../../data/pop_stats/qDiptab.csv', index_col=0)\n",
+    "# qDiptab = rpy2.robjects.packages.data(diptest).fetch('qDiptab')['qDiptab']\n",
+    "\n",
+    "def hartigan_diptest(data):\n",
+    "    '''\n",
+    "        P-value according to Hartigan's dip test for unimodality.\n",
+    "        The dip is computed using the function\n",
+    "        dip_and_closest_unimodal_from_cdf. From this the p-value is\n",
+    "        interpolated using a table imported from the R package diptest.\n",
+    "        References:\n",
+    "            Hartigan and Hartigan (1985): The dip test of unimodality.\n",
+    "            The Annals of Statistics. 13(1).\n",
+    "        Input:\n",
+    "            data    -   one-dimensional data set.\n",
+    "        Value:\n",
+    "            test statistic.\n",
+    "            p-value for the test.\n",
+    "    '''\n",
+    "    return hartigan_stats(data)\n",
+    "\n",
+    "def hartigan_stats(data):\n",
+    "    xF, yF = cum_distr(data)\n",
+    "    dip = dip_from_cdf(xF, yF)\n",
+    "    return dip, dip_pval_tabinterpol(dip, len(data))\n",
+    "\n",
+    "def dip_resampled_from_unimod(unimod, N):\n",
+    "    data = sample_from_unimod(unimod, N)\n",
+    "    xF, yF = cum_distr(data)\n",
+    "    return dip_from_cdf(xF, yF)\n",
+    "\n",
+    "def sample_from_unimod(unimod, N):\n",
+    "    xU, yU = unimod\n",
+    "    #print \"zip(xU, yU) = {}\".format(zip(xU, yU))\n",
+    "    dxU = np.diff(xU)\n",
+    "    t = np.random.rand(N)\n",
+    "    bins = np.searchsorted(yU, t)-1\n",
+    "    bin_cnt = Counter(bins).most_common()\n",
+    "    data = np.zeros((N,))\n",
+    "    i = 0\n",
+    "    for bin, cnt in bin_cnt:\n",
+    "        data[i:i+cnt] = np.random.rand(cnt)*dxU[bin]+xU[bin]\n",
+    "        i += cnt\n",
+    "    return data\n",
+    "\n",
+    "def dip_from_cdf(xF, yF, verbose=False, eps=1e-12):\n",
+    "    dip, _ = dip_and_closest_unimodal_from_cdf(xF, yF, verbose, eps)\n",
+    "    return dip\n",
+    "\n",
+    "def dip_and_closest_unimodal_from_cdf(xF, yF, verbose=False, eps=1e-12):\n",
+    "    '''\n",
+    "        Dip computed as distance between empirical distribution function (EDF) and\n",
+    "        cumulative distribution function for the unimodal distribution with\n",
+    "        smallest such distance. The optimal unimodal distribution is found by\n",
+    "        the algorithm presented in\n",
+    "            Hartigan (1985): Computation of the dip statistic to test for\n",
+    "            unimodaliy. Applied Statistics, vol. 34, no. 3\n",
+    "        If the plotting option is enabled the optimal unimodal distribution\n",
+    "        function is plotted along with (xF, yF-dip) and (xF, yF+dip)\n",
+    "        xF  -   x-coordinates for EDF\n",
+    "        yF  -   y-coordinates for EDF\n",
+    "    '''\n",
+    "\n",
+    "    ## TODO! Preprocess xF and yF so that yF increasing and xF does\n",
+    "    ## not have more than two copies of each x-value.\n",
+    "\n",
+    "    if (xF[1:]-xF[:-1] < -eps).any():\n",
+    "        raise ValueError('Need sorted x-values to compute dip')\n",
+    "    if (yF[1:]-yF[:-1] < -eps).any():\n",
+    "        raise ValueError('Need sorted y-values to compute dip')\n",
+    "\n",
+    "    D = 0  # lower bound for dip*2\n",
+    "\n",
+    "    # [L, U] is interval where we still need to find unimodal function,\n",
+    "    # the modal interval\n",
+    "    L = 0\n",
+    "    U = len(xF) - 1\n",
+    "\n",
+    "    # iGfin are the indices of xF where the optimal unimodal distribution is greatest\n",
+    "    # convex minorant to (xF, yF+dip)\n",
+    "    # iHfin are the indices of xF where the optimal unimodal distribution is least\n",
+    "    # concave majorant to (xF, yF-dip)\n",
+    "    iGfin = L\n",
+    "    iHfin = U\n",
+    "\n",
+    "    while 1:\n",
+    "\n",
+    "        iGG = greatest_convex_minorant_sorted(xF[L:(U+1)], yF[L:(U+1)])\n",
+    "        iHH = least_concave_majorant_sorted(xF[L:(U+1)], yF[L:(U+1)])\n",
+    "        iG = np.arange(L, U+1)[iGG]\n",
+    "        iH = np.arange(L, U+1)[iHH]\n",
+    "\n",
+    "        # Interpolate. First and last point are in both and does not need\n",
+    "        # interpolation. Might cause trouble if included due to possiblity\n",
+    "        # of infinity slope at beginning or end of interval.\n",
+    "        if iG[0] != iH[0] or iG[-1] != iH[-1]:\n",
+    "            raise ValueError('Convex minorant and concave majorant should start and end at same points.')\n",
+    "        hipl = np.interp(xF[iG[1:-1]], xF[iH], yF[iH])\n",
+    "        gipl = np.interp(xF[iH[1:-1]], xF[iG], yF[iG])\n",
+    "        hipl = np.hstack([yF[iH[0]], hipl, yF[iH[-1]]])\n",
+    "        gipl = np.hstack([yF[iG[0]], gipl, yF[iG[-1]]])\n",
+    "        #hipl = lin_interpol_sorted(xF[iG], xF[iH], yF[iH])\n",
+    "        #gipl = lin_interpol_sorted(xF[iH], xF[iG], yF[iG])\n",
+    "\n",
+    "        # Find largest difference between GCM and LCM.\n",
+    "        gdiff = hipl - yF[iG]\n",
+    "        hdiff = yF[iH] - gipl\n",
+    "        imaxdiffg = np.argmax(gdiff)\n",
+    "        imaxdiffh = np.argmax(hdiff)\n",
+    "        d = max(gdiff[imaxdiffg], hdiff[imaxdiffh])\n",
+    "\n",
+    "        if d <= D:\n",
+    "            if verbose:\n",
+    "                print \"Difference in modal interval smaller than current dip\"\n",
+    "            break\n",
+    "\n",
+    "        # Find new modal interval so that largest difference is at endpoint\n",
+    "        # and set d to largest distance between current GCM and LCM.\n",
+    "        if gdiff[imaxdiffg] > hdiff[imaxdiffh]:\n",
+    "            L0 = iG[imaxdiffg]\n",
+    "            U0 = iH[iH >= L0][0]\n",
+    "        else:\n",
+    "            U0 = iH[imaxdiffh]\n",
+    "            L0 = iG[iG <= U0][-1]\n",
+    "        # Add points outside the modal interval to the final GCM and LCM.\n",
+    "        iGfin = np.hstack([iGfin, iG[(iG <= L0)*(iG > L)]])\n",
+    "        iHfin = np.hstack([iH[(iH >= U0)*(iH < U)], iHfin])\n",
+    "\n",
+    "        # Compute new lower bound for dip*2\n",
+    "        # i.e. largest difference outside modal interval\n",
+    "        gipl = np.interp(xF[L:(L0+1)], xF[iG], yF[iG])\n",
+    "        D = max(D, np.amax(yF[L:(L0+1)] - gipl))\n",
+    "        hipl = np.interp(xF[U0:(U+1)], xF[iH], yF[iH])\n",
+    "        D = max(D, np.amax(hipl - yF[U0:(U+1)]))\n",
+    "\n",
+    "        if xF[U0]-xF[L0] < eps:\n",
+    "            if verbose:\n",
+    "                print \"Modal interval zero length\"\n",
+    "            break\n",
+    "\n",
+    "        # Change modal interval\n",
+    "        L = L0\n",
+    "        U = U0\n",
+    "\n",
+    "        if d <= D:\n",
+    "            if verbose:\n",
+    "                print \"Difference in modal interval smaller than new dip\"\n",
+    "            break\n",
+    "\n",
+    "    # Find string position in modal interval\n",
+    "    iM = np.arange(iGfin[-1], iHfin[0]+1)\n",
+    "    yM_lower = yF[iM]-D/2\n",
+    "    yM_lower[0] = yF[iM[0]]+D/2\n",
+    "    iMM_concave = least_concave_majorant_sorted(xF[iM], yM_lower)\n",
+    "    iM_concave = iM[iMM_concave]\n",
+    "    #bax.plot(xF[iM], yM_lower, color='orange')\n",
+    "    #bax.plot(xF[iM_concave], yM_lower[iMM_concave], color='red')\n",
+    "    lcm_ipl = np.interp(xF[iM], xF[iM_concave], yM_lower[iMM_concave])\n",
+    "    try:\n",
+    "        mode = iM[np.nonzero(lcm_ipl > yF[iM]+D/2)[0][-1]]\n",
+    "        #bax.axvline(xF[mode], color='green', linestyle='dashed')\n",
+    "    except IndexError:\n",
+    "        iM_convex = np.zeros(0, dtype='i')\n",
+    "    else:\n",
+    "        after_mode = iM_concave > mode\n",
+    "        iM_concave = iM_concave[after_mode]\n",
+    "        iMM_concave = iMM_concave[after_mode]\n",
+    "        iM = iM[iM <= mode]\n",
+    "        iM_convex = iM[greatest_convex_minorant_sorted(xF[iM], yF[iM])]\n",
+    "\n",
+    "    # Find string position in modal interval\n",
+    "    iM = np.arange(iGfin[-1], iHfin[0]+1)\n",
+    "    yM_lower = yF[iM]-D/2\n",
+    "    yM_lower[0] = yF[iM[0]]+D/2\n",
+    "    iMM_concave = least_concave_majorant_sorted(xF[iM], yM_lower)\n",
+    "    iM_concave = iM[iMM_concave]\n",
+    "    #bax.plot(xF[iM], yM_lower, color='orange')\n",
+    "    #bax.plot(xF[iM_concave], yM_lower[iMM_concave], color='red')\n",
+    "    lcm_ipl = np.interp(xF[iM], xF[iM_concave], yM_lower[iMM_concave])\n",
+    "    try:\n",
+    "        mode = iM[np.nonzero(lcm_ipl > yF[iM]+D/2)[0][-1]]\n",
+    "        #bax.axvline(xF[mode], color='green', linestyle='dashed')\n",
+    "    except IndexError:\n",
+    "        iM_convex = np.zeros(0, dtype='i')\n",
+    "    else:\n",
+    "        after_mode = iM_concave > mode\n",
+    "        iM_concave = iM_concave[after_mode]\n",
+    "        iMM_concave = iMM_concave[after_mode]\n",
+    "        iM = iM[iM <= mode]\n",
+    "        iM_convex = iM[greatest_convex_minorant_sorted(xF[iM], yF[iM])]\n",
+    "\n",
+    "    # Closest unimodal curve\n",
+    "    xU = xF[np.hstack([iGfin[:-1], iM_convex, iM_concave, iHfin[1:]])]\n",
+    "    yU = np.hstack([yF[iGfin[:-1]] + D/2, yF[iM_convex] + D/2,\n",
+    "                    yM_lower[iMM_concave], yF[iHfin[1:]] - D/2])\n",
+    "    # Add points so unimodal curve goes from 0 to 1\n",
+    "    k_start = (yU[1]-yU[0])/(xU[1]-xU[0])\n",
+    "    xU_start = xU[0] - yU[0]/k_start\n",
+    "    k_end = (yU[-1]-yU[-2])/(xU[-1]-xU[-2])\n",
+    "    xU_end = xU[-1] + (1-yU[-1])/k_end\n",
+    "    xU = np.hstack([xU_start, xU, xU_end])\n",
+    "    yU = np.hstack([0, yU, 1])\n",
+    "\n",
+    "    return D/2, (xU, yU)\n",
+    "\n",
+    "def dip_pval_tabinterpol(dip, N):\n",
+    "    '''\n",
+    "        dip     -   dip value computed from dip_from_cdf\n",
+    "        N       -   number of observations\n",
+    "    '''\n",
+    "\n",
+    "    if qDiptab_df is None:\n",
+    "        raise DataError(\"Tabulated p-values not available. See installation instructions.\")\n",
+    "\n",
+    "    if np.isnan(N) or N < 10:\n",
+    "        return np.nan\n",
+    "\n",
+    "    diptable = np.array(qDiptab_df)\n",
+    "    ps = np.array(qDiptab_df.columns).astype(float)\n",
+    "    Ns = np.array(qDiptab_df.index)\n",
+    "\n",
+    "    if N >= Ns[-1]:\n",
+    "        dip = transform_dip_to_other_nbr_pts(dip, N, Ns[-1]-0.1)\n",
+    "        N = Ns[-1]-0.1\n",
+    "\n",
+    "    iNlow = np.nonzero(Ns < N)[0][-1]\n",
+    "    qN = (N-Ns[iNlow])/(Ns[iNlow+1]-Ns[iNlow])\n",
+    "    dip_sqrtN = np.sqrt(N)*dip\n",
+    "    dip_interpol_sqrtN = (\n",
+    "        np.sqrt(Ns[iNlow])*diptable[iNlow, :] + qN*(\n",
+    "            np.sqrt(Ns[iNlow+1])*diptable[iNlow+1, :]-np.sqrt(Ns[iNlow])*diptable[iNlow, :]))\n",
+    "\n",
+    "    if not (dip_interpol_sqrtN < dip_sqrtN).any():\n",
+    "        return 1\n",
+    "\n",
+    "    iplow = np.nonzero(dip_interpol_sqrtN < dip_sqrtN)[0][-1]\n",
+    "    if iplow == len(dip_interpol_sqrtN) - 1:\n",
+    "        return 0\n",
+    "\n",
+    "    qp = (dip_sqrtN-dip_interpol_sqrtN[iplow])/(dip_interpol_sqrtN[iplow+1]-dip_interpol_sqrtN[iplow])\n",
+    "    p_interpol = ps[iplow] + qp*(ps[iplow+1]-ps[iplow])\n",
+    "\n",
+    "    return 1 - p_interpol\n",
+    "\n",
+    "def transform_dip_to_other_nbr_pts(dip_n, n, m):\n",
+    "    dip_m = np.sqrt(n/m)*dip_n\n",
+    "    return dip_m\n",
+    "\n",
+    "def cum_distr(data, w=None):\n",
+    "    if w is None:\n",
+    "        w = np.ones(len(data))*1./len(data)\n",
+    "    eps = 1e-10\n",
+    "    data_ord = np.argsort(data)\n",
+    "    data_sort = data[data_ord]\n",
+    "    w_sort = w[data_ord]\n",
+    "    data_sort, indices = unique(data_sort, return_index=True, eps=eps, is_sorted=True)\n",
+    "    if len(indices) < len(data_ord):\n",
+    "        w_unique = np.zeros(len(indices))\n",
+    "        for i in range(len(indices)-1):\n",
+    "            w_unique[i] = np.sum(w_sort[indices[i]:indices[i+1]])\n",
+    "        w_unique[-1] = np.sum(w_sort[indices[-1]:])\n",
+    "        w_sort = w_unique\n",
+    "    wcum = np.cumsum(w_sort)\n",
+    "    wcum /= wcum[-1]\n",
+    "\n",
+    "    N = len(data_sort)\n",
+    "    x = np.empty(2*N)\n",
+    "    x[2*np.arange(N)] = data_sort\n",
+    "    x[2*np.arange(N)+1] = data_sort\n",
+    "    y = np.empty(2*N)\n",
+    "    y[0] = 0\n",
+    "    y[2*np.arange(N)+1] = wcum\n",
+    "    y[2*np.arange(N-1)+2] = wcum[:-1]\n",
+    "    return x, y\n",
+    "\n",
+    "def unique(data, return_index, eps, is_sorted=True):\n",
+    "    if not is_sorted:\n",
+    "        ord = np.argsort(data)\n",
+    "        rank = np.argsort(ord)\n",
+    "        data_sort = data[ord]\n",
+    "    else:\n",
+    "        data_sort = data\n",
+    "    isunique_sort = np.ones(len(data_sort), dtype='bool')\n",
+    "    j = 0\n",
+    "    for i in range(1, len(data_sort)):\n",
+    "        if data_sort[i] - data_sort[j] < eps:\n",
+    "            isunique_sort[i] = False\n",
+    "        else:\n",
+    "            j = i\n",
+    "    if not is_sorted:\n",
+    "        isunique = isunique_sort[rank]\n",
+    "        data_unique = data[isunique]\n",
+    "    else:\n",
+    "        data_unique = data[isunique_sort]\n",
+    "\n",
+    "    if not return_index:\n",
+    "        return data_unique\n",
+    "\n",
+    "    if not is_sorted:\n",
+    "        ind_unique = np.nonzero(isunique)[0]\n",
+    "    else:\n",
+    "        ind_unique = np.nonzero(isunique_sort)[0]\n",
+    "    return data_unique, ind_unique\n",
+    "\n",
+    "def greatest_convex_minorant(x, y):\n",
+    "    i, xnew, negy = least_concave_majorant(x, -y)\n",
+    "    return i, xnew, -negy\n",
+    "\n",
+    "def greatest_convex_minorant_sorted(x, y):\n",
+    "    i = least_concave_majorant_sorted(x, -y)\n",
+    "    return i\n",
+    "\n",
+    "def least_concave_majorant(x, y, eps=1e-12):\n",
+    "\n",
+    "    if (x[1:]-x[:-1] < -eps).any():\n",
+    "        raise ValueError('need sorted x-values to find least concave majorant')\n",
+    "\n",
+    "    ind = least_concave_majorant_sorted(x, y, eps)\n",
+    "    ind = np.sort(ind)\n",
+    "    return ind, x[ind], y[ind]\n",
+    "\n",
+    "def least_concave_majorant_sorted(x, y, eps=1e-12):\n",
+    "    i = [0]\n",
+    "    icurr = 0\n",
+    "    while icurr < len(x) - 1:\n",
+    "        if np.abs(x[icurr+1]-x[icurr]) > eps:\n",
+    "            q = (y[(icurr+1):]-y[icurr])/(x[(icurr+1):]-x[icurr])\n",
+    "            icurr += 1 + np.argmax(q)\n",
+    "            i.append(icurr)\n",
+    "        elif y[icurr+1] > y[icurr] or icurr == len(x)-2:\n",
+    "            icurr += 1\n",
+    "            i.append(icurr)\n",
+    "        elif np.abs(x[icurr+2]-x[icurr]) > eps:\n",
+    "            q = (y[(icurr+2):]-y[icurr])/(x[(icurr+2):]-x[icurr])\n",
+    "            icurr += 2 + np.argmax(q)\n",
+    "            i.append(icurr)\n",
+    "        else:\n",
+    "            print \"x[icurr] = {}, x[icurr+1] = {}, x[icurr+2] = {}\".format(x[icurr], x[icurr+1], x[icurr+2])\n",
+    "            raise ValueError('Maximum two copies of each x-value allowed')\n",
+    "\n",
+    "    return np.array(i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "expat group Mexicans in Mexico vs. ethnic group African Americans has bimodal distribution with dip stat=3.120E-02 (p=2.962E-01)\n",
+      "expat group Mexicans in Mexico vs. ethnic group Anglos has bimodal distribution with dip stat=2.420E-02 (p=5.302E-01)\n",
+      "expat group Mexican immigrants vs. ethnic group African Americans has bimodal distribution with dip stat=3.005E-02 (p=3.590E-01)\n",
+      "expat group Mexican immigrants vs. ethnic group Anglos has bimodal distribution with dip stat=4.349E-02 (p=4.683E-03)\n",
+      "expat group Mexican-Americans (Spanish) vs. ethnic group African Americans has bimodal distribution with dip stat=3.376E-02 (p=1.895E-01)\n",
+      "expat group Mexican-Americans (Spanish) vs. ethnic group Anglos has bimodal distribution with dip stat=1.557E-02 (p=9.906E-01)\n",
+      "expat group Mexican-Americans (interest) vs. ethnic group African Americans has bimodal distribution with dip stat=6.131E-02 (p=6.969E-05)\n",
+      "expat group Mexican-Americans (interest) vs. ethnic group Anglos has bimodal distribution with dip stat=7.870E-02 (p=0.000E+00)\n",
+      "expat group Mexican-Americans (communities) vs. ethnic group African Americans has bimodal distribution with dip stat=5.451E-02 (p=8.199E-04)\n",
+      "expat group Mexican-Americans (communities) vs. ethnic group Anglos has bimodal distribution with dip stat=8.381E-02 (p=0.000E+00)\n",
+      "expat group U.S. Hispanics vs. ethnic group African Americans has bimodal distribution with dip stat=4.151E-02 (p=3.744E-02)\n",
+      "expat group U.S. Hispanics vs. ethnic group Anglos has bimodal distribution with dip stat=5.488E-02 (p=5.925E-05)\n"
+     ]
+    }
+   ],
+   "source": [
+    "for e_pct, e_name in izip(expat_pct_list_tmp, expat_names):\n",
+    "    for d_pct, d_name in izip(dest_pct_list, dest_names):\n",
+    "        d_assim = compute_assimilation(source_pct, d_pct, e_pct,\n",
+    "                                       TOP_DEST_PCT=top_dest_pct,\n",
+    "                                       score_type='/')\n",
+    "        # remove nans\n",
+    "        d_assim = d_assim[~ np.isnan(d_assim)]\n",
+    "        # dip test\n",
+    "        test_stat, p_val = hartigan_diptest(d_assim)\n",
+    "        print('expat group %s vs. ethnic group %s has bimodal distribution with dip stat=%.3E (p=%.3E)'%\n",
+    "              (e_name, d_name, test_stat, p_val))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Low/high-scoring ethnic assimilation scores"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "What are the low-scoring vs. high-scoring interests for `hispanic`?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "expat Mexicans in Mexico vs. ethnic African Americans top/low scores:\n",
+      "Indian classical music    0.465268\n",
+      "Western swing             0.459395\n",
+      "Stoner rock               0.452025\n",
+      "West Coast hip hop        0.450259\n",
+      "Cool jazz                 0.444962\n",
+      "New rave                  0.443332\n",
+      "Music of India            0.441070\n",
+      "Gospel music              0.433190\n",
+      "Southern soul             0.426052\n",
+      "Krumping                  0.419150\n",
+      "Gypsy punk                0.411665\n",
+      "Funk carioca              0.396750\n",
+      "Gypsy jazz                0.388587\n",
+      "Baladi                    0.381396\n",
+      "Dub (music)               0.374333\n",
+      "Supergroup (music)        0.372349\n",
+      "Celtic punk               0.371123\n",
+      "Hip hop soul              0.350971\n",
+      "Celtic fusion             0.347786\n",
+      "British Invasion          0.345799\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Boi (music)                0.000160\n",
+      "Computer music             0.000137\n",
+      "Coupe-Decale               0.000137\n",
+      "West Coast blues           0.000130\n",
+      "Cafe-chantant              0.000126\n",
+      "Straight-ahead jazz        0.000123\n",
+      "Trad jazz                  0.000104\n",
+      "Adult album alternative    0.000102\n",
+      "R&B/Soul                   0.000096\n",
+      "Hoedown                    0.000083\n",
+      "Heartland rock             0.000075\n",
+      "Comedy hip hop             0.000052\n",
+      "Active rock                0.000040\n",
+      "Vocal jazz                 0.000037\n",
+      "Cowpunk                    0.000037\n",
+      "Christian country music    0.000032\n",
+      "Cakewalk                   0.000028\n",
+      "Chicago hip hop            0.000025\n",
+      "Stride (music)             0.000021\n",
+      "Cajun music                0.000008\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexicans in Mexico vs. ethnic Anglos top/low scores:\n",
+      "Blues music              0.523744\n",
+      "Skiffle                  0.517582\n",
+      "Indian rock              0.515560\n",
+      "Chicago blues            0.514829\n",
+      "Children's music         0.506515\n",
+      "Beautiful music          0.505936\n",
+      "New school hip hop       0.499937\n",
+      "Arabic pop music         0.496016\n",
+      "Nu metal                 0.491703\n",
+      "Industrial rock          0.483273\n",
+      "Technical death metal    0.482592\n",
+      "Demo (music)             0.482247\n",
+      "Hip house                0.467441\n",
+      "Indie folk               0.467441\n",
+      "Liquid funk              0.466608\n",
+      "Music of Africa          0.463797\n",
+      "Jerkin'                  0.459942\n",
+      "Carnatic music           0.459436\n",
+      "Afro-punk                0.455657\n",
+      "Electro swing            0.453693\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "West Coast blues           0.000151\n",
+      "Absolute music             0.000141\n",
+      "Chicago hip hop            0.000133\n",
+      "Australian folk music      0.000131\n",
+      "New Acoustic Music         0.000124\n",
+      "Slack-key guitar           0.000100\n",
+      "Scottish highland dance    0.000100\n",
+      "Adult album alternative    0.000092\n",
+      "Music of Greece            0.000065\n",
+      "Vocal jazz                 0.000058\n",
+      "Heartland rock             0.000042\n",
+      "Comedy hip hop             0.000037\n",
+      "Hoedown                    0.000023\n",
+      "Christian country music    0.000022\n",
+      "Active rock                0.000022\n",
+      "Cakewalk                   0.000020\n",
+      "Stride (music)             0.000020\n",
+      "Cowpunk                    0.000020\n",
+      "Cajun music                0.000010\n",
+      "Beat (music)                    NaN\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexican immigrants vs. ethnic African Americans top/low scores:\n",
+      "Bachata (song)               6.976590\n",
+      "Music of Texas               4.561617\n",
+      "New Acoustic Music           4.208954\n",
+      "Red Dirt (music)             3.267317\n",
+      "Music of Greece              3.139466\n",
+      "Texas country music          2.972275\n",
+      "J-Rock                       2.841145\n",
+      "Cakewalk                     2.727500\n",
+      "Celtic punk                  2.722334\n",
+      "Music of Brazil              2.683304\n",
+      "Western swing                2.477973\n",
+      "Outlaw country               2.290490\n",
+      "Persian traditional music    2.107613\n",
+      "Fado                         1.931979\n",
+      "Roots rock                   1.860424\n",
+      "New rave                     1.857672\n",
+      "Stoner rock                  1.704687\n",
+      "Active rock                  1.690482\n",
+      "Mainstream Top 40            1.679982\n",
+      "Hoedown                      1.665499\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Smooth jazz                     0.408688\n",
+      "Urban adult contemporary        0.369349\n",
+      "Hot R&B/Hip-Hop Songs           0.365510\n",
+      "Trad jazz                       0.335996\n",
+      "Music of Africa                 0.317397\n",
+      "Afro-punk                       0.307360\n",
+      "African popular music           0.299457\n",
+      "New jack swing                  0.251997\n",
+      "R&B/Soul                        0.231837\n",
+      "Hiplife                         0.222921\n",
+      "Soul jazz                       0.146408\n",
+      "Urban contemporary gospel       0.109832\n",
+      "New Orleans rhythm and blues    0.000568\n",
+      "Women's music                   0.000483\n",
+      "Kayokyoku                       0.000420\n",
+      "PBR&B                           0.000345\n",
+      "Atlanta hip hop                 0.000322\n",
+      "Boi (music)                     0.000322\n",
+      "Straight-ahead jazz             0.000248\n",
+      "Marching band                   0.000003\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexican immigrants vs. ethnic Anglos top/low scores:\n",
+      "Bele                         10.618438\n",
+      "Urban contemporary gospel     7.983064\n",
+      "Music of Africa               6.130122\n",
+      "New school hip hop            4.558420\n",
+      "Slow jam                      4.424349\n",
+      "Arabic pop music              3.556830\n",
+      "Hyphy                         3.420888\n",
+      "Afro-punk                     3.318262\n",
+      "Urban adult contemporary      3.305548\n",
+      "Crunk                         3.185531\n",
+      "Hot R&B/Hip-Hop Songs         3.160249\n",
+      "Ghetto house                  2.875827\n",
+      "Hip house                     2.765218\n",
+      "Soul jazz                     2.682262\n",
+      "New jack swing                2.654609\n",
+      "P-Funk                        2.586542\n",
+      "Old-school hip hop            2.559182\n",
+      "Underground hip hop           2.544001\n",
+      "Chicago hip hop               2.532007\n",
+      "Breakbeat hardcore            2.528199\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Irish rebel music               0.002011\n",
+      "Punk jazz                       0.001843\n",
+      "Art punk                        0.001580\n",
+      "Ambient house                   0.001580\n",
+      "Kayokyoku                       0.001475\n",
+      "Mexican Son music               0.001383\n",
+      "Women's music                   0.001106\n",
+      "Canadian rock                   0.001106\n",
+      "Ryukoka                         0.001006\n",
+      "Byzantine music                 0.001006\n",
+      "PBR&B                           0.000962\n",
+      "Irish rock                      0.000922\n",
+      "New Orleans rhythm and blues    0.000885\n",
+      "Adult hits                      0.000632\n",
+      "Abwe                            0.000567\n",
+      "Straight-ahead jazz             0.000553\n",
+      "New Romanticism                 0.000388\n",
+      "Horror punk                     0.000009\n",
+      "Marching band                   0.000003\n",
+      "Beat (music)                         NaN\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexican-Americans (Spanish) vs. ethnic African Americans top/low scores:\n",
+      "Space age pop          1.455512\n",
+      "Hyphy                  1.229099\n",
+      "Free jazz              1.203757\n",
+      "Swing music            1.049855\n",
+      "West Coast hip hop     1.037052\n",
+      "Sampling (music)       0.998643\n",
+      "Swing (dance)          0.893890\n",
+      "String (music)         0.860369\n",
+      "Dub (music)            0.858562\n",
+      "Texas country music    0.827278\n",
+      "Pinoy hip hop          0.806596\n",
+      "Supergroup (music)     0.759556\n",
+      "Roots rock             0.705594\n",
+      "Stoner rock            0.668775\n",
+      "Red Dirt (music)       0.587437\n",
+      "Outlaw country         0.570201\n",
+      "Lounge music           0.568458\n",
+      "Gangsta rap            0.542852\n",
+      "Appalachian music      0.537731\n",
+      "Beautiful music        0.529195\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Foxtrot                      0.000539\n",
+      "Texas blues                  0.000488\n",
+      "Avant-garde jazz             0.000480\n",
+      "Soul jazz                    0.000480\n",
+      "Cool jazz                    0.000452\n",
+      "Music of Africa              0.000439\n",
+      "Country rap                  0.000427\n",
+      "Delta blues                  0.000389\n",
+      "Bele                         0.000361\n",
+      "Mainstream Top 40            0.000334\n",
+      "Bakersfield sound            0.000330\n",
+      "Golden age hip hop           0.000279\n",
+      "Dixieland                    0.000279\n",
+      "Zydeco                       0.000219\n",
+      "Old-time music               0.000205\n",
+      "Acid jazz                    0.000162\n",
+      "Doo-wop                      0.000162\n",
+      "Urban adult contemporary     0.000090\n",
+      "New jack swing               0.000067\n",
+      "Urban contemporary gospel    0.000042\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexican-Americans (Spanish) vs. ethnic Anglos top/low scores:\n",
+      "Hyphy                    3.772294\n",
+      "New school hip hop       3.198536\n",
+      "Jerkin'                  1.727209\n",
+      "Hot R&B/Hip-Hop Songs    1.723293\n",
+      "Gangsta rap              1.695224\n",
+      "Old-school hip hop       1.655713\n",
+      "Underground hip hop      1.512907\n",
+      "Crunk                    1.210326\n",
+      "Space age pop            1.151473\n",
+      "Beautiful music          1.090701\n",
+      "Afro-punk                1.005254\n",
+      "Sampling (music)         0.871220\n",
+      "Pinoy hip hop            0.869249\n",
+      "Free jazz                0.862573\n",
+      "Dub (music)              0.835618\n",
+      "Acoustic music           0.790433\n",
+      "Hook (music)             0.786464\n",
+      "Swing music              0.655700\n",
+      "Swing (dance)            0.643363\n",
+      "Mashup (music)           0.633310\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Fingerstyle guitar            0.000414\n",
+      "Funk metal                    0.000391\n",
+      "Celtic punk                   0.000370\n",
+      "Doo-wop                       0.000370\n",
+      "1960s in music                0.000335\n",
+      "Wonky (music)                 0.000320\n",
+      "Dixieland                     0.000320\n",
+      "Comedy rock                   0.000293\n",
+      "Horror punk                   0.000281\n",
+      "Mainstream Top 40             0.000243\n",
+      "Folk music of Ireland         0.000213\n",
+      "Texas blues                   0.000213\n",
+      "Cool jazz                     0.000180\n",
+      "Indie folk                    0.000176\n",
+      "Middle of the road (music)    0.000172\n",
+      "Country rap                   0.000153\n",
+      "Foxtrot                       0.000144\n",
+      "Bakersfield sound             0.000079\n",
+      "Old-time music                0.000072\n",
+      "Beat (music)                       NaN\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexican-Americans (interest) vs. ethnic African Americans top/low scores:\n",
+      "Music of Texas          7.221672\n",
+      "Bachata (song)          6.162494\n",
+      "Red Dirt (music)        5.097651\n",
+      "Texas country music     4.799635\n",
+      "J-Rock                  4.485933\n",
+      "Cakewalk                3.670309\n",
+      "Outlaw country          3.573611\n",
+      "Roots rock              3.338017\n",
+      "Active rock             3.177536\n",
+      "Western swing           3.014263\n",
+      "Stoner rock             2.650779\n",
+      "Country rap             2.407224\n",
+      "1970s in music          2.363456\n",
+      "Celtic punk             2.363456\n",
+      "Swing revival           2.339822\n",
+      "Music of Hawaii         2.310935\n",
+      "1950s in music          2.310935\n",
+      "Slow jam                2.310935\n",
+      "Bakersfield sound       2.273662\n",
+      "Experimental hip hop    2.178882\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Kwaito                    0.001444\n",
+      "PBR&B                     0.001238\n",
+      "Atlanta hip hop           0.001155\n",
+      "Boi (music)               0.001155\n",
+      "Indian classical music    0.001083\n",
+      "Baladi                    0.001020\n",
+      "Computer music            0.000990\n",
+      "Coupe-Decale              0.000990\n",
+      "Free improvisation        0.000963\n",
+      "Cafe-chantant             0.000912\n",
+      "Straight-ahead jazz       0.000889\n",
+      "Trad jazz                 0.000754\n",
+      "Pep band                  0.000722\n",
+      "R&B/Soul                  0.000693\n",
+      "Music of Brazil           0.000642\n",
+      "Hiplife                   0.000533\n",
+      "Electric folk             0.000361\n",
+      "African popular music     0.000347\n",
+      "Lovers rock               0.000083\n",
+      "New jack swing            0.000008\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexican-Americans (interest) vs. ethnic Anglos top/low scores:\n",
+      "Urban contemporary gospel    9.318842\n",
+      "New school hip hop           8.900488\n",
+      "Slow jam                     7.938273\n",
+      "Hyphy                        5.237623\n",
+      "Crunk                        5.080495\n",
+      "Hip house                    4.762964\n",
+      "Afro-punk                    4.366050\n",
+      "Old-school hip hop           4.358267\n",
+      "Ghetto house                 4.286667\n",
+      "Urban adult contemporary     4.197248\n",
+      "Music of Africa              4.016957\n",
+      "Chicago hip hop              3.825674\n",
+      "Underground hip hop          3.810371\n",
+      "P-Funk                       3.663818\n",
+      "Jazz-funk                    3.628925\n",
+      "Jerkin'                      3.247475\n",
+      "Gangsta rap                  2.994894\n",
+      "Cakewalk                     2.646091\n",
+      "Soul jazz                    2.480710\n",
+      "Bele                         2.302099\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Hiplife                      0.001804\n",
+      "Future garage                0.001764\n",
+      "Anti-folk                    0.001689\n",
+      "Arabic pop music             0.001557\n",
+      "Free improvisation           0.001557\n",
+      "Trad jazz                    0.001470\n",
+      "Cafe-chantant                0.001443\n",
+      "New Romanticism              0.001393\n",
+      "Witch house (music genre)    0.001301\n",
+      "Absolute music               0.001018\n",
+      "Australian folk music        0.000945\n",
+      "Indian classical music       0.000923\n",
+      "New Acoustic Music           0.000892\n",
+      "Scottish highland dance      0.000722\n",
+      "Slack-key guitar             0.000722\n",
+      "March (music)                0.000496\n",
+      "Pep band                     0.000418\n",
+      "Electric folk                0.000209\n",
+      "New jack swing               0.000079\n",
+      "Beat (music)                      NaN\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat Mexican-Americans (communities) vs. ethnic African Americans top/low scores:\n",
+      "Music of Texas          7.069556\n",
+      "Bachata (song)          5.225324\n",
+      "Cakewalk                4.230885\n",
+      "Red Dirt (music)        4.230885\n",
+      "Texas country music     3.872887\n",
+      "J-Rock                  3.514889\n",
+      "New rave                2.872746\n",
+      "Roots rock              2.458976\n",
+      "Celtic punk             2.263376\n",
+      "Outlaw country          2.224486\n",
+      "Ghetto house            2.213079\n",
+      "Swing revival           2.120867\n",
+      "Stoner rock             2.115443\n",
+      "Horrorcore              2.042842\n",
+      "Western swing           2.020637\n",
+      "Experimental hip hop    1.975963\n",
+      "Slow jam                1.864724\n",
+      "Foxtrot                 1.844232\n",
+      "Hoedown                 1.812435\n",
+      "Gypsy punk              1.738847\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Free improvisation         0.001537\n",
+      "West Coast blues           0.001495\n",
+      "Cafe-chantant              0.001456\n",
+      "Straight-ahead jazz        0.001419\n",
+      "1950s in music             0.001229\n",
+      "Trad jazz                  0.001203\n",
+      "Adult album alternative    0.001177\n",
+      "House dance                0.001177\n",
+      "Bhajan                     0.001153\n",
+      "Pep band                   0.001153\n",
+      "Music of India             0.001129\n",
+      "R&B/Soul                   0.001107\n",
+      "Music of Brazil            0.001025\n",
+      "Krumping                   0.001006\n",
+      "Heartland rock             0.000864\n",
+      "Hiplife                    0.000851\n",
+      "African popular music      0.000553\n",
+      "Twelve-bar blues           0.000503\n",
+      "Vocal jazz                 0.000426\n",
+      "Modal jazz                 0.000369\n",
+      "Name: mau_audience_pct, dtype: float64\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "expat Mexican-Americans (communities) vs. ethnic Anglos top/low scores:\n",
+      "Urban contemporary gospel    9.915817\n",
+      "Ghetto house                 7.095318\n",
+      "New school hip hop           6.911024\n",
+      "Chicago hip hop              6.716738\n",
+      "Slow jam                     6.405495\n",
+      "Music of Africa              5.190207\n",
+      "Hyphy                        4.702346\n",
+      "Crunk                        4.561276\n",
+      "Hip house                    4.244520\n",
+      "New jack swing               3.801063\n",
+      "Afro-punk                    3.710562\n",
+      "Underground hip hop          3.547659\n",
+      "Urban adult contemporary     3.495230\n",
+      "Old-school hip hop           3.478097\n",
+      "Gangsta rap                  3.282736\n",
+      "P-Funk                       3.118821\n",
+      "Cakewalk                     3.050236\n",
+      "Jerkin'                      2.994777\n",
+      "Soul jazz                    2.850797\n",
+      "Hot R&B/Hip-Hop Songs        2.585757\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Indian classical music     0.001473\n",
+      "Unblack metal              0.001424\n",
+      "New Acoustic Music         0.001424\n",
+      "Psychedelic folk           0.001267\n",
+      "Scottish highland dance    0.001152\n",
+      "Slack-key guitar           0.001152\n",
+      "Modal jazz                 0.001152\n",
+      "Adult album alternative    0.001056\n",
+      "March (music)              0.000792\n",
+      "Indian rock                0.000792\n",
+      "Music of Greece            0.000745\n",
+      "Folk                       0.000704\n",
+      "Bhajan                     0.000704\n",
+      "Music of India             0.000704\n",
+      "Pep band                   0.000667\n",
+      "Vocal jazz                 0.000667\n",
+      "1950s in music             0.000667\n",
+      "Heartland rock             0.000487\n",
+      "Twelve-bar blues           0.000487\n",
+      "Beat (music)                    NaN\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat U.S. Hispanics vs. ethnic African Americans top/low scores:\n",
+      "Music of Texas          6.799662\n",
+      "Bachata (song)          5.966155\n",
+      "Red Dirt (music)        5.109423\n",
+      "Texas country music     4.616346\n",
+      "Outlaw country          3.419052\n",
+      "J-Rock                  3.344350\n",
+      "Cakewalk                2.972755\n",
+      "Western swing           2.815232\n",
+      "Roots rock              2.690619\n",
+      "Celtic punk             2.656056\n",
+      "New rave                2.581509\n",
+      "Active rock             2.500521\n",
+      "Stoner rock             2.322465\n",
+      "Swing revival           2.237308\n",
+      "Bakersfield sound       2.207591\n",
+      "Country rap             2.193439\n",
+      "Foxtrot                 2.161115\n",
+      "Hoedown                 2.069397\n",
+      "Experimental hip hop    2.030498\n",
+      "Horrorcore              2.004466\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Hot R&B/Hip-Hop Songs           0.277440\n",
+      "African popular music           0.268477\n",
+      "Bele                            0.260116\n",
+      "Music of Africa                 0.225611\n",
+      "Soul jazz                       0.187539\n",
+      "Urban contemporary gospel       0.175235\n",
+      "Persian traditional music       0.001436\n",
+      "Chutney music                   0.001215\n",
+      "Anti-folk                       0.001128\n",
+      "Zouglou                         0.001053\n",
+      "New Orleans rhythm and blues    0.000929\n",
+      "Women's music                   0.000790\n",
+      "Kayokyoku                       0.000687\n",
+      "PBR&B                           0.000564\n",
+      "Atlanta hip hop                 0.000526\n",
+      "Boi (music)                     0.000526\n",
+      "Coupe-Decale                    0.000451\n",
+      "Straight-ahead jazz             0.000405\n",
+      "Trad jazz                       0.000343\n",
+      "R&B/Soul                        0.000316\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "expat U.S. Hispanics vs. ethnic Anglos top/low scores:\n",
+      "Urban contemporary gospel    12.736858\n",
+      "New school hip hop            6.356516\n",
+      "Slow jam                      6.027731\n",
+      "Bele                          5.063294\n",
+      "New jack swing                4.701630\n",
+      "Crunk                         4.484632\n",
+      "Afro-punk                     4.391633\n",
+      "Music of Africa               4.357396\n",
+      "Hyphy                         4.101343\n",
+      "Ghetto house                  3.978303\n",
+      "Hip house                     3.797471\n",
+      "Chicago hip hop               3.703787\n",
+      "Urban adult contemporary      3.658209\n",
+      "P-Funk                        3.505357\n",
+      "Soul jazz                     3.435807\n",
+      "Underground hip hop           3.435807\n",
+      "Breakbeat hardcore            3.358307\n",
+      "Old-school hip hop            3.332981\n",
+      "Jerkin'                       3.287853\n",
+      "Gangsta rap                   2.959068\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Mexican Son music               0.002260\n",
+      "Women's music                   0.001808\n",
+      "Canadian rock                   0.001808\n",
+      "Byzantine music                 0.001644\n",
+      "Ryukoka                         0.001644\n",
+      "PBR&B                           0.001572\n",
+      "Irish rock                      0.001507\n",
+      "New Orleans rhythm and blues    0.001447\n",
+      "Bal-musette                     0.001292\n",
+      "Persian traditional music       0.001247\n",
+      "Adult hits                      0.001033\n",
+      "Mor lam                         0.000952\n",
+      "Abwe                            0.000927\n",
+      "Straight-ahead jazz             0.000904\n",
+      "Future garage                   0.000804\n",
+      "Anti-folk                       0.000769\n",
+      "Trad jazz                       0.000670\n",
+      "New Romanticism                 0.000634\n",
+      "Australian folk music           0.000431\n",
+      "Beat (music)                         NaN\n",
+      "Name: mau_audience_pct, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "top_k = 20\n",
+    "for e_pct, e_name in izip(expat_pct_list_tmp, expat_names):\n",
+    "    ethnic_assim_scores = []\n",
+    "    for d_pct, d_name in izip(dest_pct_list, dest_names):\n",
+    "        d_assim = compute_assimilation(source_pct, d_pct, e_pct,\n",
+    "                                       TOP_DEST_PCT=top_dest_pct,\n",
+    "                                       score_type='/')\n",
+    "        d_assim.sort_values(inplace=True, ascending=False)\n",
+    "        print('expat %s vs. ethnic %s top/low scores:\\n%s\\n%s'%\n",
+    "              (e_name, d_name, d_assim.head(top_k), d_assim.tail(top_k)))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's take a step back: what if we plot the top-k interests for each destination and the corresponding percent interest for all expat groups? This could show us whether certain groups are more \"in tune\" with the high-scoring interests."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x15e5e240>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x16469198>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from __future__ import division\n",
+    "from math import ceil, floor\n",
+    "from itertools import cycle\n",
+    "top_k = 10\n",
+    "cols = 5\n",
+    "rows = int(ceil(top_k / cols))\n",
+    "# remove uninformative interests\n",
+    "invalid_interests = ['Music', 'Arts and music', 'Single (music)', 'Beat (music)']\n",
+    "# renormalize expat percents\n",
+    "expat_pct_list_tmp = [d.copy().drop(invalid_interests, inplace=False) for d in expat_pct_list]\n",
+    "expat_pct_list_tmp = [d / d.sum() for d in expat_pct_list_tmp]\n",
+    "X = np.arange(len(expat_data_list)+1)+1\n",
+    "title_size = 24\n",
+    "subtitle_size = 18\n",
+    "tick_size = 14\n",
+    "width = 4*cols\n",
+    "height = 3*rows\n",
+    "cmap = plt.get_cmap('Accent')\n",
+    "bar_width = 0.5\n",
+    "for d_pct, d_name in izip(dest_pct_list, dest_names):\n",
+    "#     print(d_name)\n",
+    "    d_pct_tmp = d_pct.drop(invalid_interests, inplace=False)\n",
+    "    # renormalize\n",
+    "    d_pct_tmp = d_pct_tmp / d_pct_tmp.sum()\n",
+    "    top_k_interests = d_pct_tmp.sort_values(inplace=False, ascending=False).index[:top_k]\n",
+    "#     print(top_k_interests)\n",
+    "    combined_names_d = expat_names + [d_name]\n",
+    "    f, axs = plt.subplots(nrows=rows, ncols=cols, figsize=(width, height))\n",
+    "    x_min = min(d_pct_tmp.loc[top_k_interests].min(), min([e_pct.loc[top_k_interests].min() for e_pct in expat_pct_list_tmp]))\n",
+    "    x_max = max(d_pct_tmp.loc[top_k_interests].max(), max([e_pct.loc[top_k_interests].max() for e_pct in expat_pct_list_tmp]))\n",
+    "    for i in range(top_k):\n",
+    "        r = int(floor(i / cols))\n",
+    "        c = i % cols\n",
+    "        ax = axs[r, c]\n",
+    "        interest_i = top_k_interests[i]\n",
+    "        d_pct_i = d_pct_tmp.loc[interest_i]\n",
+    "        # collect all expat interest percents\n",
+    "        expat_data_list_i = [e_pct.loc[interest_i] for e_pct in expat_data_list_tmp]\n",
+    "        pct_i = expat_data_list_i + [d_pct_i]\n",
+    "#         print('debugging: dest %s interest %s has percents: %s'%(d_name, interest_i, pct_i))\n",
+    "        linestyles = cycle(['-', 'x', '\\\\', '+'])\n",
+    "        for j, (x, pct_j) in enumerate(izip(X, pct_i)):\n",
+    "            color_j = cmap(j / len(pct_i))\n",
+    "            style_j = next(linestyles)\n",
+    "            ax.barh(x, pct_j, color=color_j, hatch=style_j, height=bar_width)\n",
+    "        if(c == 0):\n",
+    "            ax.set_yticks(X)\n",
+    "            ax.set_yticklabels(combined_names_d, fontsize=tick_size)\n",
+    "        else:\n",
+    "            ax.tick_params(axis='y', left=False, labelleft=False)\n",
+    "        ax.set_title(interest_i, fontsize=subtitle_size)\n",
+    "#         ax.set_yscale('log')\n",
+    "        # set plot limits\n",
+    "        ax.set_xlim(x_min, x_max)\n",
+    "    plt.suptitle(d_name, fontsize=title_size, y=1.05)\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Custom interest plot"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Slightly modified plot! Include all destination groups on top and include predefined genres:\n",
+    "\n",
+    "- rock, bluegrass, heavy metal, country, classical, hip hop, rap, gospel, blues, jazz, norteno, rock en espanol"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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0zc5/kG4SVmtUY08Yk3+enD8kepcq807OpXrbrXWevgK8d3GDNOsGvyUldI6S9JlqBSRtkxND0LVraEjTVGxf7BslrUIaFbk45uafDfWZeW7Xe4Avk5Jdk0jX/GatpqttuJq6+3RJAyUtW1wWEa8BlQ9jV8nlGr3WfZD0DaEvS9q8vLLwfqFWzLvg+Zd7lUcwm9kSIyKelHQZcICkHSLijoiYLelo0ieod0sanYsfTBpRdXhEvJy3nyfpEOD3wL8l/ZY0knJ10ld+fgn8scp+p0raCbgZuFHSpyLi9p48VrMm2VrSgfn35Umjmr5Cunv7D+rY/izSnG9/kXQNaTTCEaSv/G1bKvtV0rQ3f8sjHO8nfXC+AWnOuAtJcyWT970rcIOks0jfLvgUqe1CnaOfImKOpLHAgZLmk742uB5wOGn+1OKckJsAt0v6Q45/Funrhl/NZSs3GRubpxD5GzCZNG/cwTmmMZg1QUS8Kukg0rQUj+Wvvz5Jen1uSrrHwGdJ8yg+QnoDeHROHD1Gev0fTnrtb12l/gWSLgW+DmwD3Fzt5rm57CN5mqsDSe2io3mhu11E3CvpONLNgx+QdCXpQ+M1SbHvDixX2GQc8F9KN/mdlKqIy0gfdM0DxuT/Q7NINzbcnTQS1O/LrKnyde4epA+Arsn93U3ADFJ/uTOpL/1ZLl/3NXR2FumDpL/mbxUOIl0jPMtifMiSp915EthP0lPANNK3L/7cyaZFo3hn6p3jq92426yv62obrqErffrOwChJV+Vyc0n94qHA3RFRGYH8iKRxpBvuVfrPw0hznV/WwfGEpC+RviFxj6TzcgyDSAO4biCNnL6TNEjlFKUbaz9HukHgF0nTZWzRwfFad4oIP/zww4+2eZBunBPAUTXWDyN9ynlraflngb+TRmK8mn/fq0YdHyK96Z5O+krrJNK8rBsUygRplFVxu9VISbBXgY83+1z54Ud3PQrtrvhYSBoBeTWwbZVtqrWRZUgXvS+Qbsh5H7AnKVEcwNBS+cGkr9U9nsvPJl1Ing5sViq7FelDnnmkr+leSLpBUQC/KpQbmpeNrHGsg0lvQqfkff6L9Ab54LzdTrncasCppPlrZ5PmhH6SNDfcmoX6vkK6+J9KutB+gTQ6e+dmP69+tMejs34xlwnSjfPKy99PSgg9n1+f03L/+H/AqoVy65FurPtSbmP35H61atvN22xT+H9xQCfH8MVc7pYuHvto0nvUWufk4CrrJgK3VVn+KdLI7pmkvn8yKWn81VK5jUmjH1+pHF9h3UdJb4Tn5P8L1+VzfBswsVTPIsv88KM3HqQpIr6VX6uzSB8ST8uv1y8CS5fKd+Ua+jukhPLrpETWl8v9Zy7X0f+ORdoo6dr8Lt6Z13xiXj6UDvr0wvYr8c48s+s1+znww4/FeXSlDdfof+rq00nX0efktvxKbn+PkL4tPLBQ33dJAyleLPSfVwJbl/Zbtd8jTXN3Ee9cK08hvRffulDmA6SE86zcx95GmhN6NKXrgGrL/Oieh/IJNjMzM1uiSNoGGA98LyJ+0ux4zKw6SfsAlwP7R8SlzY7HzNqLpOVJH/DeGxG7NjseM7NW5DmYzczMrO1JWrH0t4Cj85/13LTTzJrnf0jfGrq62YGYWVs6gDRf7LnNDsTMrFV5ri8zMzNbEjwg6a+kKS1WIk29sQNweUR0eANCM+t9+eZ5Hye104+SvmnwenOjMrN2ImlP0nQAI4GHqXIvFTMzq4+nyDAzM7O2J+lnpKTyOqQP2J8BLgZ+GhELmhmbmS0q3xz3VtJcxZcB33RbNbPuJGki6YbCE4BDI+Kh5kZkZta6nGA2MzMzMzMzMzMzs4Z4igyzJhk8eHAMHTq02WGYtb0JEyZMj4jVe3o/btNmvcNt2qy9uE2btRe3abP2Um+bdoLZrEmGDh3K+PHjmx2GWduT9Gxv7Mdt2qx3uE2btRe3abP24jZt1l7qbdNL9XQgZmZmZmZmZmZmZtaenGA2MzMzMzMzMzMzs4Y4wWxmZmZmZmZmZmZmDXGC2czMzMzMzMzMzMwa4gSzmZmZmZmZmZmZmTXECWYzMzMzMzMzMzMza8gyzQ7AbEn17LPPcvjhh3dabvz48QAMHz68rnpd3uWXlPLnnntuXXX0lmpturvPT187ZrN29sgjj7DNNtu0xP/Ddizv/3fW3Tq69u5rr3+Xb255//9pDZU23ddeP5XyEyZMqKu8WbvwCGazGiQdLOnOZsdhZmZmZmZmZmbWVznBbG1D0m2SZklavtmxmJmZmZmZmZmZLQmcYLa2IGkosAMQwKebGoyZmZmZmZmZmdkSwglmaxcHAeOA0cCIykJJoyWdLek6SXMk3S1pw8L6XSQ9JullSb+SdLukQ6vtQNKHJd2by94r6cOFdQdLejrv4xlJB/TcoZqZmZmZmZmZmfUNTjBbuzgIuDg/dpW0RmHdF4DjgVWAJ4GTACQNBn4PfA9YDXgM+DBVSFoVuA44I5f9JXCdpNUkrZSX7xYRA3IdD9So5zBJ4yWNf+211xbviM3MzMzMzMzMzJrMCWZreZI+AqwHXBERE4CngP0LRa6OiHsi4k1SAnqrvHx34KGIuDqvOwOYWmM3nwKeiIgxEfFmRFwKPArsmde/Bbxf0ooR8UJEPFStkogYFRHDI2L4CiussBhHbWZmZmZmZmZm1nzLNDsAs24wAhgbEdPz35fkZafmv4tJ43lA//z7EGByZUVEhKTnauxjCPBsadmzwFoR8aqkfYGjgPMk3QV8OyIe7SjoefPmMX78+I6PDLjvvvs6LePyLu/yzVetTbfz8Zq1u3nz5nWpTfa1/4etXt6su3V07d3XXv8u39zy1hoqbbqvvX78erMllRPM1tIkrQjsAywtqZJIXh4YJGnLTjZ/AVi7UJeKf5dMIY2SLloXuAEgIm4EbszxnAj8hnTTQTMzMzMzMzMzs7blBLO1ur2AhcAWwBuF5VeQ5mXuyHXAWZL2Aq4FjgDeW6Ps9cCZkvbPde8NbAZcm+d73g64BZgPzM0xdahfv34MHz68s2Jv60pZl3f5Jb18M3TUptvxeM3aXb9+/dh000373P+3Ja28WXep59q7r73+Xb655a1vK7dpv37MmssJZmt1I4DzI2JScaGks0hzKt9ca8OImC7p87ncBaT5mccDr1cpO0PSHsDpwK9JNwvcI9exJvBtYAwQpBv8fa2zwNdbbz3OPffcug7SzPo+t2mz9jJs2LC6prIys9bgftqsvbhNm/UtTjBbS4uIT9ZYfgVppHF5+W0UpsGIiBuATQAkLQU8lx9ExGhgdKHsncA2Vep8Adix4YMwMzMzMzMzMzNrUUs1OwCzZpK0q6RBkpYHjgUEjGtyWGZmZmZmZmZmZi3BCWZb0m0PPAVMB/YE9oqI+c0NyczMzMzMzMzMrDV4igxbokXESGBkk8MwMzMzMzMzMzNrSR7BbGZmZmZmZmZmZmYNcYLZzMzMzMzMzMzMzBriBLOZmZmZmZmZmZmZNcQJZjMzMzMzMzMzMzNriBPMZmZmZmZmZmZmZtaQZZodgNmSatrjD3Dbge/t9nofmPYGI++YzcgdBrHVGsu5/jatf/Zrb3V73bZ45jzzYN1teqeLpvZwNGa2uLrSpsH9i1lf11Gbbof2e+RNM7u9XrO+rNKm3b7M+gaPYG4jklaU9GdJL0u6skaZAySN7e3YmknSupLmSlq62bEUvTB3IQ9Me6Pb691qjeUYucMgRt4x2/W3cf1mZta3uH8xa13t0H7NllRuX2Z9gxPMLUjSbZJmSVq+tOpzwBrAahHx+WrbRsTFEbFLjwdZhaSDJYWkfXpzvxExKSL6R8TC3txvZ9bsv3RLX8S6/ubWb2ZmfY/7F7PW1ert12xJ5vZl1nxOMLcYSUOBHYAAPl1avR7weES8WWPbZk+JMgKYmX/2ij5wzDX1W1YtfRHr+ptbv5mZ9U3uX8xal9uvWety+zJrLieYW89BwDhgNIVEraTjgR8C++bpIA7JI4bvknSqpJnAyLzszsJ2m0u6SdJMSdMkHZuXf0jSPyTNlvSCpLMkLVfYLiQdIemJPJr6bEmqFbSk9YAdgcOAXSWtUVi3k6TnJB0t6cW8v70k7S7p8RzbsYXyS0n6rqSnJM2QdIWkVfO6oTm2QyRNAv5aWLZMLrOqpPMlTcmxX5OXryLpWkkv5eXXSlq7sN/bJJ2Qz+kcSWMlDc7rVpB0UY5ntqR7i8dYS6tfxLr+5tZvZmZ9k/sXs9bl9mvWuty+zJrHCebWcxBwcX68naiNiOOAk4HL83QQ5+Xy2wFPA+8BTipWJGkAcDNwAzAE2Ai4Ja9eCHwLGAxsD3wc+Foplj2AbYEtgX2AXTuJe3xEXAU8AhxQWv9eYAVgLVKi/DfAgcA2pBHbP5S0QS77TWAvUsJ6CDALOLtU347AsBoxjQH6AZuTzsupeflSwPmkkeDrAvOBs0rb7g98KW+3HHBUXj4CGAisA6wGHJG3fxdJh0kaL2n8y/kmOq1+Eev6m1u/9R3zFkSzQzCzPsT9i1nrcvs1a11uX2bN4QRzC5H0EVLy84qImAA8RUp4dmRKRJwZEW9GRDnhuQcwNSJOiYjXImJORNwNEBETImJc3m4icC4paVv0k4iYHRGTgFuBrTqI4yDgkvz7JSw6TcYC4KSIWABcRkpsn55jegh4CPhALns48P2IeC4iXgdGAp8rTYcxMiJeLR+zpDWB3YAjImJWRCyIiNvzMc+IiKsiYl5EzCEl5MvHfH5EPJ7rvaJwzAtIieWNImJhPn+vlE9CRIyKiOERMXzgCu80v1a/iHX9za3f+oaeunGnmbUu9y9mrcvt16x1uX2Z9T4nmFvLCGBsREzPf1dL1JZN7mDdOqQk9SIkbZKniJgq6RXS6OjBpWJTC7/PA/rXqOs/gfVJieNK3FtIKiakZxRuwldJCk8rrJ9fqH894A95KorZpBHRC0k3OKyoddzrADMjYlaVOPtJOlfSs/mY/wYMkrR0oVitYx4D3Ahclqfe+JmkZWvEUFWrX8S6/ubWb83XkzfuNLPW5f7FrHW5/Zq1Lrcvs97lBHOLkLQiaRqKHXPSdyppCostJW3ZwaYdfWd7MrBhjXW/Bh4FNo6IlYFjgZpzLHdiRN72gRz33Xn5QQ3WNxnYLSIGFR4rRMTzhTK1jnsysKqkQVXWfRt4H7BdPuaP5uWdHnceCX18RGwGfJg0OrzLx9fqF7Guv7n1W3P19I07zax1uX8xa11uv2aty+3LrPc4wdw69iKN0t2MNC3DVqQ5hu+g8UTttcB7JR0paXlJAyRtl9cNAF4B5kraFPhqIzuQtAIpMX5YIe6tgG8AB5SmtajXOcBJ+caBSFpd0mfq2TAiXgD+Avwq39RvWUmVRPIA0kjp2fmmgcfVG5CknSVtkUc7v0KaMmNhJ5tV1eoXsa6/ufVbc/n5NbNa3L+YtS63X7PW5fZl1jsaSe5Zc4wgzf87qbhQ0lnAGZKO6WqFETFH0ieA00nJ1NeB00gjjI8CRgFHA/cDlwMfayDuvUhJ2wvz/MqVuM8Djgc+CcztYp2nk0YVj5U0BHgxx/fHOrf/IunGfo+SbtR3K2k6jNNI03dMB6YAp+T46/FeUuJ7bdLxXA5c1NEGA9bfkp0uGl913U7AkXXuuBGuv73rt+aotOmd8PNr1g466qcbtRPuX8yaZXHb9E64/Zr1JV1p0zvh9mXW0xThu96bNcPw4cNj/PjufeNqZouSNCEihvf0ftymzXqH27RZe3GbNmsvbtNm7aXeNu0pMszMzMzMzMzMzMysIU4wm5mZmZmZmZmZmVlDnGA2MzMzMzMzMzMzs4Y4wWxmZmZmZmZmZmZmDXGC2czMzMzMzMzMzMwa4gSzmZmZmZmZmZmZmTXECWYzMzMzMzMzMzMza4gTzGZmZmZmZmZmZmbWkGWaHYDZkmrhhCm8vPTILm1zR0zk4LiS0fo8O2hozWWNcv29X//AhSMXKybrOzpr0+XXip97s76t2KZbsX/pifr9f8ta2csTJnbYphvVKu23yG3Z2kGxTTeq3vblNmPWOY9gtj5N0gGSxjY5hock7dTMGKD2heQOGspofZ6D40ruiImuv0Xrt/bWnW/d8zP7AAAgAElEQVQ0zax3tXr/4v7LLOnPcm//3irty+3XrLZnmOX2ZdaHOMFs7yIpJG1UWjZS0kU1yg+S9DtJUyXNkfS4pGPq3NfBku6ssnyipP8CiIiLI2KXRo6lu0TE5hFxWzNj6Cw5tbidoOtvbv3W3pxcNmtdrd6/uP8yq62vty+3X7OOrc8qbl9mfYgTzLa4TgX6A8OAgcCngaeaGlGbqTc51Wgn6PqbW7+1NyeXzVrXXN5o6f7F/ZdZ5/pq+3L7Netcf5brtfZlZp1zgtkW17bAJRExKyLeiohHI+L33VV5cZSzklMlvSjpZUn/lPT+vG60pHMk3ZRHUt8uab1CPadLmizpFUkTJO1QWDdS0hWSLszbPiRpeGH92yOqJS0t6VhJT+WyEySt01FstczljU6Pv6vJqa5eZLr+5tdv7cvJZbPW9gyzWrp/6cn6zdpJX2tfvv40q19vtS8z65wTzLa4xgEnSfqSpI17eF+7AB8FNgEGAfsCMwrrDwBOAAYDDwAXF9bdC2wFrApcAlwpaYXC+k8Dl+V6/wScVSOG/wd8AdgdWBn4MjCvjtgAkHSYpPGSxj/NzA47wUaTU/V2sq6/b9Rv7cnJZbPWtz6rtHT/0lP1m7WjvtK+fP1p1nW90b7MrHNOMNvi+gYpkft14GFJT0rarQvb/4ek2cUHsG6NsguAAcCmgCLikYh4obD+uoj4W0S8Dnwf2F7SOgARcVFEzIiINyPiFGB54H2Fbe+MiOsjYiEwBtiyRgyHAj+IiMcieTAiZtQRGzmOURExPCKGb8CqNTvBxU1OddbJuv6+U7+1HyeXzdpD8YZg9epL/UtP1G/Wzprdvnz9ada4nm5fZtY5J5itbCGwbGnZsqQE6iIiYn5EnBwR2wCrAVeQRgevWuf+xkXEoOIDmFRjX38ljSw+G5gmaZSklQtFJhfKzgVmAkMAJH1b0iN5+orZpPmiBxe2nVr4fR6wgqRlqoSxDlXmmK4jtkXUmjOquzq/Wp2s62+P+q1v8vNrZq3ev3RUv1m7a+f26+sTa3d+/Zs1lxPMVjYJGFpatj7wbGcbRsQrwMnASnmbbhcRZ+Rk9uak6Si+U1i9TuUXSf1J02FMyfMtHwPsA6ySk9gvA2oghMnAhg3EVlW5E+zuzs/1t3f91rfUe0MwM2t/rd6/1KrfbEnQru3X1ye2JPDr36x5qo3QtCXb5cAPJP0LmAJ8DNgT2L5aYUn/B9wAPEj6wOJ/gdnAY90dmKRt8z7uA14FXiONuK7YXdJHgHtIczHfHRGTJW0BvAm8BCwj6buk+ZMb8VvgBEkPA08CWwDPAxt0EltNO2goo/k8e8YFAPxZI7q183P97V2/9R1PMsPPr5m9rdX7l2r1my0p2rH9+vrElhR+/Zs1hxPMVvaj/LgTWIU0HcQBEfFvAEnrAg8Dm0XEJCCA80nzJr8J/BP4VJ6iAkkPASdHxMXlHTVgZeBUUjL3NeBG4BeF9ZcAx5GS4feRbvpHLvcX4HFS8vdUCtNpdNEvSfM3jyVNsfEo8Nk6YlvE0tsMYeD4kQDsAQSjGwypc66/veu3vmGbbbZhj/Gjmx2GmXWTYj/dqFbvX9x/WTvpaptu9fbl9mvtrqM27de/We9zgtneJSLmk6Z2qDq9Q04q9y/8fSJwYgf1bd7ButGw6H/9iBharUxE3AJ8oIPwp0fEEVXqWwgckh8VPyusH1kqP5HC9BmleBaSjrd8zM91EpuZmZmZmZmZmVnb8RzMZmZmZmZmZmZmZtYQJ5jNzMzMzMzMzMzMrCGeIsPaQkQc3OwYzMzMzMzMzMzMljQewWxmZmZmZmZmZmZmDXGC2czMzMzMzMzMzMwa4gSzmZmZmZmZmZmZmTXECWYzMzMzMzMzMzMza4gTzGZmZmZmZmZmZmbWkGWaHYDZkurRSbPZ/ht/bHYY1mT/OPMzzQ7Bukk9bdrPt1nrcD9dm/+XWStym3bbtfbSm23abcesc00fwSxpXUlzJS3d7Fh6k6QDJI1tdhxFku6S9MFmx9FT8utsgw7WPyRpp8Xcx9WSPrk4dZiZmZmZmZmZmbWKThPMkiZKekPS4NLyBySFpKGLE0BETIqI/hGxcHHqaZSk0ZLelDSkN/cbERdHxC69uc+OSNoTmBMR9zc7lp6SX2dPw9vP+4ml9ZtHxG2LuZufACctZh1mZmZmZmZmZmYtod4RzM8AX6j8IWkLYMUeiagXSVoJ2Bt4GTigF/fbF6cmOQIY0+wgWl1E3AOsLGl4s2MxMzMzMzMzMzPrafUmmMcABxX+HgFcWCwgaXlJv5A0SdI0SedIWjGvO0bSuEpiVdJX83QEK0gamkdCV9atKul8SVMkzZJ0TV6+iqRrJb2Ul18rae3C/m+TdEKe5mGOpLHlUddV7A3MBn6Uj6l4PCMlXSnpolzfvyRtIul7kl6UNFnSLoXyAyWdJ+kFSc9LOrEy7Yekg3Ncp0qaCYzMy+4sbL+5pJskzczn79i8/EOS/iFpdq77LEnLFbYLSUdIeiKfl7MlKa/bSNLtkl6WNF3S5dVOQq7vY8DthWVLSzpW0lP5+CdIWiev+7Cke3O990r6cOl5OFHS3/OUFH+WtJqkiyW9kssPLcX/tRz/nPwcbpiP+RVJV1SOt3zOCttvlH8fnY//ulzX3ZI2LJeVdBjpA4WjKzHm9RMl/Vf+fSlJ383HPyPHsWpet0J+XczIz8u9ktYohHUb8Klq59rMzMzMzMzMzKyd1JtgHkcalTksJ033BS4qlfkpsAmwFbARsBbww7zu58AbwA8kbQycDBwYEa9V2dcYoB+wOfAe4NRCrOcD6wHrAvOBs0rb7g98KW+3HHBUJ8c1ArgUuAzYVNLWpfV75nhWAe4HbsxxrEVKSp9bKHsB8GY+9g8CuwCHFtZvBzydY3vXFAqSBgA3AzcAQ3Idt+TVC4FvAYOB7YGPA18rxbkHsC2wJbAPsGtefgIwNse/NnBmjfOwMfBWRDxXWPb/SKPWdwdWBr4MzMtJ1uuAM4DVgF8C10larbDtfsAXSedpQ+AfpOduVeAR4LjS/j8JbAP8B3A0MIqUAF4HeD+F0fN1+AJwfD7mJ6kyXUVEjAIuBn6Wp83Ys0o93wT2AnYkPSezgLPzuhHAwBzfaqTR3/ML2z5Cei4WIekwSeMljV8w/5UuHJaZmZmZmZmZmVnf05Wb/FVGMX8CeBR4vrIij5j9CvCtiJgZEXNISeT9ACLirbztN4E/kRJ7i8z1K2lNYDfgiIiYFRELIuL2XMeMiLgqIubl+k8iJf+Kzo+IxyNiPnAFKdldlaR1gZ2BSyJiGimhO6JU7I6IuDEi3gSuBFYHfhIRC0hJ6aGSBuXRq7sBR0bEqxHxIikxvl+hrikRcWZEvJnjK9oDmBoRp0TEaxExJyLuzsc9ISLG5e0mkpLa5eP+SUTMjohJwK2F415ASsgPyfXeSXWDgDmlZYcCP4iIxyJ5MCJmkEbmPhERY3JMl5JeD8Uk7fkR8VREvAz8BXgqIm4unMfyjQR/GhGvRMRDwL+BsRHxdGH7rtx48OqIuCfv62I6eA104nDg+xHxXES8DowEPqc00n4BKbG8UUQszM9RMVs8h3ROFxERoyJieEQMX3bFlRsMzczMzMzMzMzMrG/oylzAY4C/AetTmh6DlHjtB0zIszMACFi68kdETJR0K2lE7NlUtw4wMyJmlVdI6kdK2n6SNDoVYICkpQs3CJxa2GQe0D9vew5wYF5+ckScTBph+0hEPJCXXwycIumonEAGmFaobz4wvbCvSpK4P2mE67LAC4XjXwqYXNi++Hu1436q2gpJm5BGCQ8nneNlgAmlYlWPmzQa+ATgHkmzgFMi4ndVdjMLGFBnTEOAZ0vLniWNVq4on7fy3/15t87Kv7dKHLXUOhddtR7wB0lvFZYtBNYgtYV1gMskDSKN5v9+4XUzgDT1SofeeHUmk+++tMHwrH18ptkBWDepr037+TZrFe6nO+L/ZdZ63KbBbdfaSe+2abcds87UPYI5Ip4l3exvd+Dq0urppETg5hExKD8GRsTbyT1Ju5OmeLiFNGVGNZOBVXPSruzbwPuA7SJiZeCjlarriP2IPBVC/5xchjSiegNJUyVNJSVxB5NGInfVZOB1YHDh+FeOiM2LYXSy/YY11v2aNEJ443zcx1LHMQNExNSI+EpEDCGNyP1VZb7ikidIA9GLSeJaMU0hJV+L1qUwor0HvUpKsgMgqSuJ57KOng9Ix79b4fkcFBErRMTzeWT98RGxGfBh0gj04hzlw4AHFyM2MzMzMzMzMzOzltCVEcwAhwCrRMSreaoAIE2BIek3wKmSvh4RL+Zk5fsj4kalm+2dl7e/G/iXpD9GxPXFyiPiBUl/ISVC/weYC2wfEX8jjQqdD8zO8wCX5/Gtm6TtScnTDwIvFVadQpom409dqS/HPZY0Avr/ctzrA2tXpvjoxLXALyUdSUooLwdslqfJGAC8AsyVtCnw1VLMNUn6PPCPPLfyLFJSdWG5XEQskHQzaeqNS/Li3wInSHqYNJfxFqQk8vXAmZL2J01DsjewWT6GnvYgsLmkrUhJ95GLUdc0YIMO1p8DnCRpREQ8K2l14MMR8UdJO5M+VHmY9Nws4N3ndUfeGTFf03Irrco623Vlemkz68vcps3ai9u0WXtxmzZrL27TZn1LlxLMEVF1GofsGNJN/cblhPLzpGTpjaSbtr2dUJZ0CHCepC2q1PNF0lQYj5ISrbeSpuY4jZT8nE4aRXsK6SZsjRiR4/lXcaGk04E7cgK7qw4CfkJKOg4g3dDvp/VsGBFzJH0COJ2UOH+ddLx3k25UOIo03cX9wOXAx+qMaVvgNEkDSQnV/42IZ2qUPRf4Ou8kmH8JLE+6SeBg0vPx2Yh4TtIeOdZfk5LPe0TE9DpjalhEPC7pR6QbIs4Hvkcamd2I84ArJc0GbouI8mvpdNJI8bGShgAvks79H0lTdpxDunHi3Lz8IgBJ2wKvRsQ9nQWw6bqD+MeZ/qqNWbtwmzZrL27TZu3FbdqsvbhNm/UtiuhspgBbUki6E/hGtRswWn0kXQWcVx6dX83w4cNj/PjxvRCV2ZJN0oSIGN7T+3GbNusdbtNm7cVt2qy9uE2btZd623RXp8iwNhYRH2l2DK0uIvZudgxmZmZmZmZmZma9pe6b/JmZmZmZmZmZmZmZFTnBbGZmZmZmZmZmZmYNcYLZzMzMzMzMzMzMzBriBLOZmZmZmZmZmZmZNcQJZjMzMzMzMzMzMzNriBPMZmZmZmZmZmZmZtYQJ5jNzMzMzMzMzMzMrCHLNDuAZpK0LvAwMDAiFjY7nt4i6QBgRETs0uxYKiTdBXw9Iu6XdCywQUQc2uy4ukrSPcCXIuKhzspOmfIkI0fu2Wmdxx9/LQDHHbdHXTG4fM+Uj4i6ytuSq1qb7uj1NnLkn3slLjNrzIQJE5DU5/qj3ijv/0/Wjjq69u7L7bGR8m7DtiSotOmebl9uT2b16dMJZkkTgSHAkIiYXlj+ALAlsH5ETGy0/oiYBPRfzDAbJmk0cCCwbkRM6a39RsTFwMW9tb/OSNoTmBMR9wNExMld2HYksFFEHNhD4XW079HAcxHxg8LiXwA/AvbubPshQwbWlWCu6EpZl+/+8mad6ahN+/Vm1nrWXHMghx22Q5/rj/paebNWUc+1d19rX26/ZrWV27Tbi1lztcIUGc8AX6j8IWkLYMXmhdM9JK1ESkK+DBzQi/vtix8qHAGMacaOe+B8/AnYWdKa3VyvmZmZmZmZmZlZn9MKCeYxwEGFv0cAFxYLSFpe0i8kTZI0TdI5klbM646RNK6SSJT0VUkPSVpB0lBJUVi3qqTzJU2RNEvSNXn5KpKulfRSXn6tpLUL+79N0gmS7pI0R9JYSYM7Oa69gdmk0a4jSsczUtKVki7K9f1L0iaSvifpRUmTJe1SKD9Q0nmSXpD0vKQTJS2d1x2c4zpV0kxgZF52Z2H7zSXdJGlmPn/H5uUfkvQPSbNz3WdJWq6wXUg6QtIT+bycLUl53UaSbpf0sqTpki6vdhJyfR8Dbi8d/0X598pzNCI/v9MlfT+v+yRwLLCvpLmSHmzkfOTlX5b0SD6OGyWtl5crl30xH8s/Jb1f0mGkDwaOzvv+M0BEvAZMAPrM9CNmZmZmZmZmZmY9pRUSzOOAlSUNy0nCfYGLSmV+CmwCbAVsBKwF/DCv+znwBvADSRsDJwMH5kRg2RigH7A58B7g1Lx8KeB8YD1gXWA+cFZp2/2BL+XtlgOO6uS4RgCXApcBm0raurR+zxzPKsD9wI05jrVISelzC2UvAN7Mx/5BUnKzOH/xdsDTObaTijuRNAC4GbiBNB3JRsAtefVC4FvAYGB74OPA10px7gFsS5qyZB9g17z8BGBsjn9t4Mwa52Fj4K2IeK7G+oqPAO/LMfxQ0rCIuIH0fF4eEf0jYstctkvnQ9JepET1fwOrA3eQnhvyth8lvb4GkV5/MyJiFGmakZ/lfRe/X/NIPh9mZmZmZmZmZmZtrRUSzPDOKOZPAI8Cz1dW5BGzXwG+FREzI2IOKem4H0BEvJW3/SZp+oKfVeb6LcpTGuwGHBERsyJiQUTcnuuYERFXRcS8XP9JwI6lKs6PiMcjYj5wBSnZXZXSzQV3Bi6JiGmkhO6IUrE7IuLGiHgTuJKU+PxJRCwgJaWHShokaY0c95ER8WpEvEhKjO9XqGtKRJwZEW/m+Ir2AKZGxCkR8VpEzImIu/NxT4iIcXm7iaSkdvm4fxIRs/N81rcWjnsBKSE/JNd7J9UNAubUOlcFx0fE/Ih4EHiQGgncBs/H4cCPI+KRfL5PBrbKo5gXAAOATQHlMi90EuucfFzV4jtM0nhJ4196aW4dh21mZmZmZmZmZtZ3tVKCeX/gYErTY5ASr/2ACXkqh9mk0birVwrk5OitwFDg7Br7WAeYGRGzyisk9ZN0rqRnJb0C/A0YVJl2IZta+H0e+eaBStN1zM2PY/P6LwKPRMQD+e+Lgf0lLVuoY1rh9/nA9IhYWPibvI/1gGWBFwrHfy5pdG7F5BrHXDnup6qtyNNyXCtpaj7uk0mjmYuqHjdwNCDgHqUpSb5cY/+zSAncztTaT1kj52M94PRC+Zk59rUi4q+k0epnA9MkjZK0ciexDiBNf7KIiBgVEcMjYvjqqzft/pJmZmZmZmZmZmbdoiUSzBHxLOlmf7sDV5dWTyclXDePiEH5MTAi3s7eSdqdNMXDLaQpM6qZDKwqqdrI02+TpmfYLiJWJk2ZACkJ2VnsR+QpFPpHxMl58UHABjlxOxX4JSlxu1tn9dWI+3VgcOH4V46IzYthdLL9hjXW/Zo0YnzjfNzHUscxA0TE1Ij4SkQMIY0Q/pWkjaoUfYI0EH2teuqttqvS342cj8nA4YXygyJixYj4ez6WMyJiG9LUKZsA36lRT8Uw0ihrMzMzMzMzMzOzttYSCebsEOBjEfFqcWGeAuM3wKmS3gMgaS1Ju+bfBwPnkebgHQHsmRPOlOp5AfgLKRG6iqRlJVUSyQNISezZklYFjmv0ICRtT0rofog0ncRWwPuBS1h0moxO5bjHAqdIWlnSUpI2lFSeyqKWa4H3SjpS6WaJAyRtl9cNAF4B5kraFPhqvXFJ+rzeuRHiLFIydmG5XJ7y42YWnXqjXtNI04Usletr5HycA3xP0uY59oGSPp9/31bSdnl0+avAa4XjmAZsUKxI0vLANsBNDR6PmZmZmZmZmZlZy2iZBHNEPBUR42usPgZ4EhiXp3K4mTTiGGAU8MeIuD4iZpAS1b+VtFqVer5ImnP3UeBF4Mi8/DRgRdJo6XGkKTgaNSLH8688yndqREwFTgf2yAnsrjqIdGPBh0nJ3N8Da9azYZ5T+hOkmwpOJY0o3jmvPoo0NckcUhL/8i7EtC1wt6S5pLmv/zcinqlR9lzSuW/ElfnnDEn35d+7dD4i4g+kG0Vell8//+ad0eQrk459FvAsMAP4RV53HrBZnlrjmrzs08BtETGlweMxMzMzMzMzMzNrGYroaPYEs94h6U7gG9VuwNhKJN0NHBIR/+6s7PDhw2P8+FqfmZhZd5E0ISKG9/R+3KbNeofbtFl7cZs2ay9u02btpd42vUxvBGPWmYj4SLNj6A4RsV3npczMzMzMzMzMzNpDy0yRYWZmZmZmZmZmZmZ9ixPMZmZmZmZmZmZmZtYQJ5jNzMzMzMzMzMzMrCFOMJuZmZmZmZmZmZlZQ5xgNjMzMzMzMzMzM7OGOMFsZmZmZmZmZmZmZg1xgtnMzMzMzMzMzMzMGuIEs5mZmZmZmZmZmZk1ZJlmB9AsktYFHgYGRsTCZsfTWyQdAIyIiF2aHUuFpLuAr0fE/U2MYQfgtxHxvk7KjQQ2iogDa6y/B/hSRDzU6U7nTOWt23+8yOLb7n+afUdewuUj92enD25QT/hd4vrbv/6PHfmbbq/X6jBnKn897Ss+/2btokY/3ai+1r8steP3uj0Gsz5tMdp0b7ZfX0eY1anONt1T7df9qNm79dkRzJImSnpD0uDS8gckhaShi1N/REyKiP7NSi5LGi3pTUlDenO/EXFxH0su7wnMqSSXJQ2S9DtJUyXNkfS4pGN6Oo6IuKOz5HKdfgH8aHEq2OmDG3D5yP3Zd+Ql3Hb/090Qkutf0uq35vH5N7NaWr1/MVuS9Wb7NbPu5f7RrHf02QRz9gzwhcofkrYAVmxeON1D0krA3sDLwAG9uN++OGL9CGBM4e9Tgf7AMGAg8GngqSbE1ag/ATtLWnNxKmn1N6Guv7n1m5nZ4psz7/Vur9P9i1nr6q32a2bdz/2jWc/r6wnmMcBBhb9HABcWC0haXtIvJE2SNE3SOZJWzOuOkTSukliV9FVJD0laQdLQPBK6sm5VSedLmiJplqRr8vJVJF0r6aW8/FpJaxf2f5ukEyTdlUfcji2Puq5ib2A2aaTriNLxjJR0paSLcn3/krSJpO9JelHSZEm7FMoPlHSepBckPS/pRElL53UH57hOlTQTGJmX3VnYfnNJN0mamc/fsXn5hyT9Q9LsXPdZkpYrbBeSjpD0RD4vZ0tSXreRpNslvSxpuqTLq52EXN/HgNsLi7cFLomIWRHxVkQ8GhG/L+33m5KeznX/XNJSed2Gkv4qaUZed7GkQYVtJ0o6StI/c2yXS1ohr9tJ0nOFssfk8zlH0mOSPl6IcTlJF+Z1D0kaXlkREa8BE4DFHiXe6m9CXX9z6zczs8Xz9AszW/L/v/sXs57jb6KZtS73j2Y9q68nmMcBK0salpOm+wIXlcr8FNgE2ArYCFgL+GFe93PgDeAHkjYGTgYOzEnAsjFAP2Bz4D2kkbSQztH5wHrAusB84KzStvsDX8rbLQcc1clxjQAuBS4DNpW0dWn9njmeVYD7gRtzHGuRktLnFspeALyZj/2DpMTmoYX12wFP59hOKu5E0gDgZuAGYEiu45a8eiHwLWAwsD3wceBrpTj3ICWEtwT2AXbNy08Axub41wbOrHEeNgbeiojnCsvGASdJ+lJ+zqr5LDAc2Br4DPDlyiEBP87HMgxYBxhZ2nYf4JPA+sAHgIPLlUt6H/B1YNuIGJCPa2KhyKdJz90g0ojl8uvhEdI5WWyt/ibU9Te3fjMza9wGa67asv//3b+Y9Ry3L7PW5fZr1nP6eoIZ3hnF/AngUeD5yoo8YvYrwLciYmZEzCElkfcDiIi38rbfJCUCf1btRnJ5OoPdgCPyyNkFEXF7rmNGRFwVEfNy/ScBO5aqOD8iHo+I+cAVpGR3VUo3F9yZNEp3GimhO6JU7I6IuDEi3gSuBFYHfhIRC0iJzaFKcxWvkeM+MiJejYgXSYnx/Qp1TYmIMyPizRxf0R7A1Ig4JSJei4g5EXF3Pu4JETEubzeRlNQuH/dPImJ2REwCbi0c9wJSQn5IrvdOqhsEzCkt+wZwMSnB+7CkJyXtVirz0/x8TwJOI0+jEhFPRsRNEfF6RLwE/LJKzGdExJSImAn8merP1UJgeWAzSctGxMSIKE7TcWdEXJ/n7x7DosnkOfnYFiHp/7N353FyVOX+xz9fEpIQEhJC2MIWBNkiiDrIxR8IooJyQVGvKIIkCCIu3IsCcgWXIIu7uAuIEgkoICIKoiJIWLwGTFjUICBLICEJEEggCWGLz++PczpUOj2Tnp6e6e37fr3qNdNVp06dM91PVfeZ008dI2mGpBlPPL2sUpHVtPqHUNff2PrNzKw2I4cPbenzv68vZv3H8WXWuhy/Zv2jVQaYP0CaaXph2bYNSbOOZ+ZUDotJs3E3LBXIg6M3AOOB73dzjC2ApyJiUfkGScMlnSvpYUnPADcBo0tpKLIFhd+fJeUQRildx9K8nJK3fxD4Z0TcmR9fDHxA0tqFOh4r/L4cWFi4GWFpkHgEaRB3bWB+of/nkmYrl8zpps+lflfMb5zTclytdLO9Z0gD9+WpPyr2G/g0aTbxbTmFxIeobBEwsrgiIpZHxFkR8TpgA9KA/S8kjemmTw+TZiwjaSNJl+TUFs+QZrtX2+ZiG+4HjifNfn4811m8GWN5HcO0an7rkaQUKKuJiPMioisiujYctW6lIhW1+odQ19/Y+s3MrDatfv739cWs/zi+zFqX49es/pp+gDkiHibd7O8A4IqyzQtJA64TImJ0XkZFxMpBQ0kHkFI8XE9KmVHJHGBMMV9vwQnA9sDuEbEe8MZS1VW0/diIGJGXs/LqI4BX5IHbBaRZtmNJM5F7aw7wPDC20P/1ImJCsRlr2H+bbrb9kDRj/JW536dQRZ8BImJBRHw4IsYBHwF+IGnbCkX/RZqIvlk39ZQGttclpbQo2aLw+5bAvPz7l0j93SW3+fBq21zh2D+LiD1Jg/hBSsVSrR2Bu2o5bk9a/UOo629s/WZmVptWP//7+mKWtOKNO82s/zh+zeqr6QeYs6OAfSNilZwCOQXGj4CzJcwpwYQAACAASURBVG0EIGkzSfvn38cCPyblJJ4IHJQHnCmrZz7wO9JA6PqS1pZUGkgeSRrEXpxn0X6h1k5I2oM0oPt6UmqGXYFXAT9j9TQZa5TbfS3wDUnrSVor3+iuPC1Ed64GNpF0vNLNEkdK2j1vGwk8AyyVtAPw0WrbJem9evlGiItIA7QrysvllB/XUUhjIelzknaTNCTfgO9/SLOB7y3selJ+nrbI20s3ERwJLCU9V5sBJ1Xb5rL2by9pX0lDgedIz/9q7e9m36HA64A/1nLsNWn1D6Guv7H1m5lZbVr9/O/ri1nr3rjTzPqP49esflpigDkiHoiIGd1sPhm4H5ie0yJcR5pxDHAe8OucL/dJ0kD1+ZI2qFDPB0m5g+8BHielSICU43cd0mzp6aQUHLWamNvz9zzLd0FELAC+DRxYlgaiWkeQbix4N2kw93Jg02p2zDml30q6qeAC0oziN+XNJ5JSkywhDeJfWqmObuwG3CppKSn39f9ExEPdlD2X9Ldf2SzSTRUXkmYmvxX4z4hYWijza2AmcCfwW9I/EQBOI9347+m8vnzGe7WGAl/ObVhASjlySo97vOwdwLSImLfGkjVq9Q+hrr+x9ZuZWW1a/fzv64t1ula+caeZ9R/Hr1l9KKKnDApm/U/SLcBxlW7AWKFskNJ23N//Les9SbcCR0XEP9ZUtqurK2bM6O7/JmZWL5JmRkRXfx/HMW02MBzTZu3FMW3WXhzTZu2l2pgevKYCZv0t5zpuCxGx+5pLmZmZmZmZmZmZtYeWSJFhZmZmZmZmZmZmZs3HM5itpUSEGt0GMzMzMzMzMzMzSzyD2czMzMzMzMzMzMxq4gFmMzMzMzMzMzMzM6uJB5jNzMzMzMzMzMzMrCYeYDYzMzMzMzMzMzOzmniA2czMzMzMzMzMzMxq4gFmMzMzMzMzMzMzM6vJ4EY3wPqHpC2Bu4FREbFigI65F3B+RGw/AMc6DJgYEfv197H6y5LFy7nhV7O48x+3cdrXT+ALJ34DYOXvu77q9XU5jutv3/rf9K4Jfa7D6uex+QsZPWpMj8+vnzOz1lG6Tteq1a4vPj9Zu+tNTDt+zZpfdzE9UPG7+Omn6lKfWbtQRDS6DR1J0mxgHDAuIhYW1t8JvBrYOiJmN6Z11hNJ+wAXRcTmfaln+20nxDlfuwxIF6lPff5DAHzziz+p28WvxPW3Z/3+MFEdSTMjomsAjhNren79nJn13UDFdPE6XatWur74/GSN0qwx7fg1q00zxPRAxO8nP3dkXes0a1bVxrRTZDTWQ8ChpQeSdgbWaVxzOoMkz9w3MzMzMzMzMzOrAw8wN9ZU4IjC44nAhcUCkoZK+rqkRyQ9JukcSevkbSdLml4aMJX0UUmzJA2TNF5SFLaNkXSBpHmSFkm6Mq9fX9LVkp7I66+WtHnh+NMknS7pz5KWSLpW0thKnZG0j6S5hcezJZ0k6W+Slkn6saSNJf0u13WdpPVz2VJ7j5Q0J7flWEm75f0XS/peoe5Jkm4pPN5P0r2Snpb0A0k3Sjq6UPbPks6W9BQwWdI2kv4k6UlJCyVdLGl0WdtPzMd+WtKl+e+6LvA7YJykpXkZJ+n1kmZIeiY/T9+s9kVQ+orNN7/4E775xZ9w2tdP4M5/3Fbt7q6/w+u35rH5uK38/JrZSr6+mLUux69Z6xqo+DWzVXmAubGmA+tJ2lHSIOB9wEVlZb4CbAfsCmwLbAZ8Pm/7GvAC8FlJrwTOAg6PiOcqHGsqMByYAGwEnJ3XrwVcAGwFbAksB75Xtu8HgCPzfkOAE3vRx/cAb819OIg0OHsKMDYf+7/Lyu8OvJL0t/gWcCrwltzuQyTtXX6APOB9OfAZYAPgXuANFep9MPfhTEDAl0hpSnYEtgAml+1zCPA2YGtgF2BSRCwD3g7Mi4gReZkHfBv4dkSsB2wDVPX9u2J+qF1f9Xp2fdXr+cKJ36jbRdD1t3f91lyGr7Oun18zA3x9MWtljl+z1jWQ8Wtmq/IAc+OVZjG/FbgHeLS0QZKADwOfjIinImIJaRD5/QAR8e+8738DvwG+GhF3lB9A0qakQdFjI2JRRLwYETfmOp6MiF9GxLO5/jOB8kHcCyLivohYTho43bUX/ftuRDwWEY8CNwO3RsQdEfE88CvgNWXlT4+I5yLiWmAZ8POIeLywf3l5gAOAWRFxRUS8BHwHWFBWZl5EfDciXoqI5RFxf0T8MSKej4gngG9W6Pd3ImJeRDwFXLWGfr8IbCtpbEQsjYjplQpJOibPdJ7xxMLHKt5woF4XwfKLq+tvv/qt+fhDopm1+vXFrJM5fs1aV6Pi18wSDzA33lTSDOFJlKXHADYkzTqemVNELAZ+n9cDkG8EeAMwHvh+N8fYAngqIhaVb5A0XNK5kh6W9AxwEzA6z6guKQ7WPguMqLp38Fjh9+UVHpfX1dvykGYhzyk9iHTnyrllZeYUH0jaSNIlkh7N/b6INKu6qDf9Poo0S/seSX+VdGClQhFxXkR0RUTXM0sWd3tx6utFcE0XP9ffHvVbc/KHRLP28OzyZb3ep9WvL2adzPFr1roaHb9m5gHmhouIh0k3+zsAuKJs80LSoOqEiBidl1ERsXKgU9IBwB7A9aSUGZXMAcYUcwwXnABsD+ye0zu8sVR1rX1qgPlAMW+0io+zKHv8pbxul9zvw6m+z+V1ERH/iohDSSk4vgJcnvM1d2vTTTbv8eJU60Ww2ouf62/9+q15+UOiWeubv2Bu057/+6N+s07m+DVrXc0Sv2adzgPMzeEoYN+c33elnALjR8DZkjYCkLSZpP3z72OBHwNHk24QeFAecKasnvmk3Mc/yDf1W1tSaSB5JGkQe7GkMcAX+qWH/eu3wM6SDs43Nfw4sMka9hkJLCX1ezPgpF4c7zFgA0mjSiskHS5pw/ycLc6rV/RUyfB1ehx/Bnp/Eeztxc/1t3f91lj+kGjW2jbdZPOWPf/XUr9Zp3L8mrWuZotfs07mAeYmEBEPRMSMbjafDNwPTM+pHK4jzTgGOA/4dURcExFPkgaqz5e0QYV6PkjKE3wP8DhwfF7/LWAd0mzp6aQUHC0lIhYC7wW+CjwJ7ATMAJ7vYbfTgNcCT5MGqMtnj/d0vHuAnwMP5tQl40g3A5wlaSnphn/v7+Zmi71W7UWw1ouf62/v+q2xPMhs1rqqvXFns57/e1u/WSdy/Jq1rmeXL2vK+DXrVErpas3ah6S1SDmYD4uIGxrdnu50dXXFjBnd/V/BzOpF0syI6Orv4zimzQaGY9qsvTimzdqLY9qsvVQb057BbG1B0v6SRksaCpxCyqc8vcHNMjMzMzMzMzMza2seYLZ2sQfwACnVx0HAwRGxvLFNMjMzMzMzMzMza2+DG90As3qIiMnA5AY3w8zMzMzMzMzMrKN4BrOZmZmZmZmZmZmZ1cQDzGZmZmZmZmZmZmZWEw8wm5mZmZmZmZmZmVlNPMBsZmZmZmZmZmZmZjXxALOZmZmZmZmZmZmZ1cQDzGZmZmZmZmZmZmZWk8GNboANLElbAncDoyJiRRO0Zxbw8YiY1ui2lJO0F3B+RGzfH/Xf+/C97PPhffqjamsB0340rdFNsDq79+F7G90EM6ujTrxO+9pk7ay/Y9rxYzawmvU67XOBdSoPMDcZSbOBccC4iFhYWH8n8Gpg64iYXWv9EfEIMKKPzaybiJhQ676SAngc2CwiXsrrBgPzgA0jQn1s281AvwwuA4wcO7IpL4hmVpuRY0c2uglmVke+Tpu1F8e0WXtxTJs1F6fIaE4PAYeWHkjaGVincc1paouBtxceHwAsalBbzMzMzMzMzMzMOooHmJvTVOCIwuOJwIXFApKGSvq6pEckPSbpHEnr5G0nS5qeZ/Mi6aOSZkkaJmm8pChsGyPpAknzJC2SdGVev76kqyU9kddfLWnzwvGnSTpd0p8lLZF0raSxedswSRdJelLSYkl/lbRxpY5Kmi3pLfn3yZIuk3RhrnOWpK5e/q2OqPC3GiXpx5LmS3pU0hmSBuVtP5R0eaHsVyRdr2QfSXML27aQdEX+mzwp6Xt5/VqSPivpYUmP5/aPWkO7zczMzMzMzMzMWp4HmJvTdGA9STvmgdD3AReVlfkKsB2wK7AtsBnw+bzta8ALwGclvRI4Czg8Ip6rcKypwHBgArARcHZevxZwAbAVsCWwHPhe2b4fAI7M+w0BTszrJwKjgC2ADYBj8/7VeAdwCTAa+E2FY5a7EnijpNGSRgN7Ab8uK/NT4CXS3+k1wH7A0XnbCcAukiblnMtHARMjIooV5OfhauBhYDzp731J3jwpL28CXkFKQbKmdpuZmZmZmZmZmbU852BuXqWZuTcC9wCPljZIEvBhYJeIeCqvOwv4GfCZiPi3pCOA20mD01+NiDvKDyBpU1J6iQ0iopRW4kaAiHgS+GWh7JnADWVVXBAR9+Xtl5EGhwFeJA0sbxsRfwNm9qLft0TENbnOqcDxayj/HHAVqZ8iDUqvHEjPM6ffDoyOiOXAMklnA8cA50bEs5IOB34PLAGOi4i5rO71pNzYJ5XyPQO35J+HAd+MiAfzMT8D/EPSkYWypfYck4/NqE08ydnMzMzMzMzMzFqbB5ib11TgJmBrylI+ABuSZh3PTGPNQBpcHVR6EBGzJd1Aykn8/W6OsQXwVGFweSVJw0mzmd8GrJ9Xj5Q0KCJW5McLCrs8y8s3D5ya674kzyq+CDg1Il7ssceV6xwmaXD5QG2ZC4Evkf4GJ5dt2wpYG5hf+FutBcwpPYiI2yQ9SJqJfVk3x9gCeLibdowjzWwueZgUWxtT+MdAPtZ5wHkA43Yct8osaTMzMzMzMzMzs1bjFBlNKiIeJt3s7wDgirLNC0kpJyZExOi8jIqI0gAvkg4A9gCuJ6XMqGQOMCYPApc7Adge2D0i1gPeWKq6ira/GBGnRcROwBuAA1k1T3K93QxsShrQvaVs2xzgeWBs4W+1XkRMKBWQ9HFgKDAP+HQ3x5gDbFnKXV1mHmkgu2RLUkqOx2rpjJmZmZmZmZmZWavwAHNzOwrYNyKWFVdGxL+BHwFnS9oIQNJmkvbPv48FfkzKMzwROCgPOFNWz3zgd8AP8k391pZUGkgeSRrEXixpDPCFahst6U2Sds55i58hpcxYsYbdapbzJR8EvKM8d3Lu47XANyStl2/It42kvXNbtwPOAA4HPgh8WtKuFQ5zGzAf+LKkdfONDP9f3vZz4JOStpY0gpTz+tI1zLo2MzMzMzMzMzNreR5gbmIR8UBEzOhm88nA/cB0Sc8A15FmHENKwfDriLgm51I+Cjhf0gYV6vkgaQD4HuBxXs55/C1gHdJs6emkHMXV2gS4nDS4/E9SXufymxTWVUTMiohZ3Ww+gnQTwruBRbltm+bZyBcBX4mIuyLiX8ApwFRJQ8vqX0EaxN4WeASYS8r7DPATXk5p8hApB/RxdeyemZmZmZmZmZlZU1LZhE8zGyBdXV0xY0Z3/z8ws3qRNDMiuvr7OI5ps4HhmDZrL45ps/bimDZrL9XGtGcwm5mZmZmZmZmZmVlNPMBsZmZmZmZmZmZmZjXxALOZmZmZmZmZmZmZ1cQDzGZmZmZmZmZmZmZWEw8wm5mZmZmZmZmZmVlNPMBsZmZmZmZmZmZmZjVRRDS6DWYdSdIS4N5Gt6MBxgILG92IBunUvje631tFxIb9fRDHdEfq1L43ut+O6f7V6Oe3kTq1743ut2O6fzX6+W2kTu17o/vd7zEt6RjgTODh/jxOk2r089tIndr3Rve7qpgePBAtMbOK7o2IrkY3YqBJmtGJ/YbO7XsH9dsx3WE6te8d1G/HdIfp1L53UL8d0x2mU/veIf0+ZiD+MdWMOuT5rahT+94q/XaKDDMzMzMzMzMzMzOriQeYzczMzMzMzMzMzKwmHmA2a5zzGt2ABunUfkPn9r1T+t0p/SzXqf2Gzu17p/S7U/pZrlP7DZ3b907pd6f0s1yn9hs6t++d0O9O6GN33PfO0xL99k3+zMzMzMzMzMzMzKwmnsFsZmZmZmZmZmZmZjXxALOZmZmZmZmZmZmZ1cQDzGZ1Jultku6VdL+k/62wfaikS/P2WyWNL2z7TF5/r6T9B7Ld9VBr3yW9VdJMSX/PP/cd6Lb3VV+e97x9S0lLJZ04UG2uhz6+3neR9BdJs/JzP2wg214tx3TnxXSnxjM4pvN2x7RjenzZdse0Y7opOaYd0xW2O6Yd047pFtJWMR0RXrx4qdMCDAIeAF4BDAHuAnYqK/Mx4Jz8+/uBS/PvO+XyQ4Gtcz2DGt2nAer7a4Bx+fdXAY82uj8D1ffC9l8CvwBObHR/Bug5Hwz8DXh1frxBM77eHdOdF9OdGs91eM4d002+OKYd045px7RjeuV2x7RjuukWx7RjutVj2jOYzerr9cD9EfFgRLwAXAK8s6zMO4Gf5t8vB94sSXn9JRHxfEQ8BNyf62sVNfc9Iu6IiHl5/SxgmKShA9Lq+ujL846kg4EHSX1vJX3p937A3yLiLoCIeDIiVgxQu3vDMd15Md2p8QyO6RLHdOKYxjHtmG5qjmnHtGPaMe2Ydkw3TUx7gNmsvjYD5hQez83rKpaJiJeAp0n/bapm32bWl74XvQe4IyKe76d29oea+y5pXeBk4LQBaGe99eU53w4ISX+QdLukTw9Ae2vhmH5Zp8R0p8YzOKZXK+OYdkzjmHZMNy/HdOKY7qaMY9ox3U/trDfH9MtaOqYHN7oBZm1GFdZFlWWq2beZ9aXvaaM0AfgK6b9xraQvfT8NODsiluZ/wraSvvR7MLAnsBvwLHC9pJkRcX19m9hnjulVdUJMd2o8g2N6TWUc047pVuOY7rmMY9ox3Woc0z2XcUw7pltNW8W0ZzCb1ddcYIvC482Bed2VkTQYGAU8VeW+zawvfUfS5sCvgCMi4oF+b2199aXvuwNflTQbOB44RdIn+rvBddLX1/uNEbEwIp4FrgFe2+8t7j3H9Ms6JaY7NZ7BMb1aGce0YxrHtGO6eTmmE8d0N2Uc047pFuGYfllrx3Q0MAG0Fy/ttpD+i/Qg6aYCpSTtE8rKfJxVk7Rfln+fwKo3JXiQ1ropQV/6PjqXf0+j+zHQfS8rM5kWujFBH5/z9YHbgeG5nuuA/2x0n+rcR8d0C8Z0p8ZzHZ5zx3STL45px7Rj2jHtmF6ljGPaMd1Ui2PaMd3qMd3wP6gXL+22AAcA95HuBnpqXvdF4B3592GkO5zeD9wGvKKw76l5v3uBtze6LwPVd+CzwDLgzsKyUaP7M1DPe6GOVrwo9uX1fjjpZgz/AL7a6L70Ux8d0y0Y050az33tu2O6+RfHtGO6N313TDf/4ph2TPem747p5l8c047p3vS92WJauVFmZmZmZmZmZmZmZr3iHMxmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTTzAbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTTzAbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTTzAbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xm1nYkTZM0ux/qnSwpJI2vd91m1twkTZEUjW6HmTWWpEn5vcA+jW6LtQdJsyVNa/djNgtJ++QYnlRF2V5d+3O9U/rSPjOzVuUBZjNrWoU3gCf2UCYkXT2Q7TKz2hXiurgslXS7pE9KGtzoNppZ30gaJuljkv4k6QlJL0paLOmvkr4iaYdGt9GsPzTTNU7S8dUMopqZ9aSaz+RmAP4QZ2btaD9AjW6EmfXo58A1pFjdBDgC+CawI3BMA9vVnQ8Dxza6EWbNTtIrgKtJsXwjcDYwHxgB7Ap8CDhR0pYR8WjDGmrWv5rhGnc8MBuYMkDHMzOzDuYBZjNrOxHxQqPbYGZrdHtEXFR6IOkHwD3A0ZJOjYgnGte01UXEi8CLjW6HWTOTtA7wW2Ab4N0R8asKZYYBnwSccsbaWUtd48zMzPrKKTLMrO1UysFcWifpFZJ+LelpSc9I+lWebdUbQyWdJWmupOcl3SXpgArtGCzpZEl3S3pO0pP5eDuXlRufv3Y0WdKhkv6Wyz+S1/mfgdb2ImIZMJ0022ub0npJ+0m6VNKDkpbnr9lfK2nv8jp6E+fFHIySjpN0X467+yQdV6Hu1fIwltZJGiXph5Iez3X8WdLuFerYQNJP8rlgaU4f8JpK5yyzFnU0sAPwtUqDywAR8VxEfCki5hXX52vhVEmP5WvrA/laO7ys3BhJZ+ftpWvrTEknldXVq+uqpE1zHD8i6QVJ8ySdJ2mj+vxprJN1d40rkrSDpN9KWpKvX5dL2qSw/VP5df2WCvsOlfSUpOvz4wC2AvbWquk6xvfmmLlM6R4kO0n6lqT5kpZJul7S9rnMu5XSgCzP1+GqZmlLWkvSqZJukrQgx94jORY3KCtbjOsDlVLuPJfb87Vu4vqdku7I5eZI+iKwdjVtK6tnQ0kX5vNNqe+vqWK/lW2usK3ivV2qPRdVcy406y9KabCulfRofp3Ol3RRhddz6b1yxSWXqZRaqLhMakAXrQYetDCzVjBc0tg61LMucANwG/AZ4JXAx4D/kPSaiFhQZT0/Jc1k/DowhPQVxCslbRcRswvlLgYOAf4I/JD0FcmPA3+RtFdE3FFW70G5ru8DC4B3AF8gfUA4snddNWtJpQ/dTxXWTQLGABcCc4HNSINY10t6U0TcXFZHb+P8OFJsngssAQ4FviNpTEScVmW7/wA8AXwR2AD4FHCNpPERsQRA0hDgOlKKgCm5fbvkdU9VqNOsFf1X/nl+b3aStBUpJkaRrpf3AfuQYvj/SXpzRLyUi/8CeCMpZu8ChpMGtfcBvlZWdVXXVUlbAn8hXdN/DDwAbAt8FHiTpK6IeLo3fTKroNI1rmQzYBrwK+Ak4NXAR4D1SKnfIL3/PAs4inTtKHoXsD7p9QvwQVJ6moXAmYVyxZnT1Ryz6KfA0tyGDYETgD9I+hzwVVLs/iS371xJd0fELRXqKRqSj/1L4NfAMmC3XMeekl5X4ZuJB5Cu6+fk470TOBFYlNsGgKR35Xpnk67PL5Hi/sA1tKmS35Oet8mk9wyfAG6StEdE/KOG+irq5bmoN+dCs3o7kfRPs++QYuNVpPfn+0raOSKezOXOZfXz1Qak1+ii/PifpHNWpWO8Gnisvk23fhMRXrx48dKUC+kNUlSxXF223zRgdoV1AXyrbP278vpzqmjP5NLxABXW75bXf6mw7q153aVlZXchvcG9ubBufC67AnhtYb1Ib/oD+I9GPx9evNRjKcT154GxpA+pO5MGgAK4raz8uhXq2Jj0ofmasvVVx3mhHUuAzQvrh5AGul4sWz8lvW1apd4puY4flK1/b17/kcK6j+V1p5aVLa2f3ejnxouXvi7Ak8DTFdYPyvFeXNYpbL84x8EBZft9La8/Kj8eVSnmKhyvV9dV0sDW48WYz+u78jV7cmHdpLz/Po3+e3tpvqW317i8z+y87ZCy9aV9diis+xnwHDCmrOwfSYM8w8rqndZNO3tzzMl53VWs+p72vwvX0S0L6zfMbfx5FX8vFc8FhfVHlbevENfLgPFldfwDmF9YNwh4hPReYWxh/Sjg4VzPpCraNyWXvaKs768D/g38vqx8AFMqtHlyhbpLf9diX6o6F1HludCLl3oshfPaiYV1ld6fvzmX+3QPdQ0BbgKWA3v0UO6jVHhP76W5F6fIMLNWcB5pwLbS0ltfLj6I9BXee4GDe1HHtyNf+XIdfyW9uX5locy78s8zy8r+jTRAvaekDcvq/WNE3F4oG6QZIcX6zNrFaaSZVI8DfyMNtF5BmmG4UqSvFQMgaUT+yuwK4FZgtTQUWW/i/OKImFso+wJp1tdg0uzHapxd9vhP+WfxnHBQbve3y8r+CPDMSGsX6wHPVFi/Iynei8vHIX1FnhT3d0TENWX7fYk0iFO6Bi4Hngd2L/8abjfWeF2VNIo0o/E3wHOSxpYW0iDc/VSezWnWk6qucQXzIuKysnWla8m2hXXnAUOBw0orciy8mXQ9e64Xbaz2mCXfKb6nBUrfIPp1RDxSWhkpv/S9rHoNrCiS5QCSBkkanWOv1I5K1/kro/CNwdymG4BNJI3Iq18HbAFcEBELC2WfJs187q2vlr2fn0ka1H9L4Zh90stzUW/PhWZ1VXp/ntPcjMqv07tI72m7e38OaWb+nqR/8PylUgFJ+wPfJd3T4VN1bbj1Kw8wm1kr+FdEXFdp6WU9i6NyGox/AhtLWrfKeh6ssO4p0td9SrYmfSj+Z4Wy/yiUKW9Hubvzz97miTZrdqV/HB0AnEyKoc1Js55WkrSNpEskLSL9I2ch6UP7AaSvA5frbZzXI+5WOSfEy18LLD8nzIuIpWVlXwQeqvI4Zs3uGdIgc7mHePkfwyeWbdsQGAHMKt8pIp4C5pNjMf8D6HjSV3EfkjRL0nclvbmb9lQT39uTPhMdxeqD4E/k7Rt3U79Zd6q6xhVUem+52rUkIqaRUsgcVSh3JGkWb69S01R7zB7Kl77eXukatqibOlYj6RBJt5IGTReR4q50rErX+WraXYrveyqUvbvCujXp7lwyiJRypx6qPhfVcC40qytJ+0qaRvpGwWJefp2OonLcIukLwOHAFyLi0m7K7AxcRvq8/P6I+Hf9W2/9xTmYzayTRDfr1ct6VlRRT2/rhO7bZ9aO/lX4J9HvJN0C3EKaWfR+SDOWSV+jWxf4FvB30iDzv0m5WfetUG9v47xS+V7Fb0T01znBrNX8A3ijpK0jYuWgU57pdB2ApJfK9ultvJ0j6dfAfwJ7k/I+f0LSpRHx/vLiVVRZOv5FpByzlSzvTRvNqOIaV6a76wisHiM/Ar4m6XXAHaS0LTMi4q5etrE3x+ypvLgOfgAAIABJREFUfDXXwMoFpHeT0sndBvwPMIc0CD+IlPe40oS4atpd+tnna3wVx+pJT+eg8rGYXp2LenkuNKsbSbsB15Jm1f8v6Z9My0mv90uoELeSDiOlhZkaEad3U+8mpG/6LgMOKp+UYc3PA8xm1knWl7RJhdmNOwCPF7+KXwcPAPuTvhb8t7JtO+Wf5TM+dmJ1pXWVZmuYtY2I+D9JU4EjJH0nIv6P9JXfccCHIuKCYnlJZ3RTVW/jvFLc7Zh/1jPuHiJ/lbb4hlnS2qTZzYvreCyzRrmcdNOpo4FTq9zncdI/jiaUb5C0PrApcGdxfUTMJ83WPF/SIGAqcKikb+S0VSXVXFfvJ30oHlLDN6PMqtLNNa5WU0g37juKlLN3S1I6mdUO24djDJQPkgaU3xQRz5ZWStqhj/U+kH/uWGFbpXVrsiPphmbl61aQcjp3p3RDxzEVtpV/S6rX56JenAvN6ukDpH8Cvb34z+T8LcHVZi9L2pOUGuMW0vuD1UgaTkoPMxbYOyLm9EO7rZ85RYaZdZr/LT7Id5jeHriyzscp1fcZSStnOEh6FSn/3i05R13RWyW9tlBWwKfL6jNrZ6eTPqx9MT8uzVJaZZaQpP3oOb9bb+L8MEmbF8oOAT6Zj311bxq/BleR3oz/T9n6D5O+TmjWDs4nfSX9pBx3lawSz/nrr1cBr5H0trKy/0v6vPIrSB9A84fQ4v4rePkfueWDOGu8ruaUNtcA75b0H6s1Nim/Z4JZLcqvcTXJOYWvJA3yfAJ4lnTzv3JLqTyw2UxWkAZVV45L5Dj9bB/rnQnMBY7MuWFLda8HHFtDfZ8uez//WuAtwPU9zbKMiCXAAmDfsv1fQdl9IXpzLqrhXGhWTxXfnwOnUDbGKGkb0vlqLnBwTu9CWRmR/jnSBXwwImbUvcU2IDyD2cw6yULSm7ZxwDTSzUc+BjxG+spO3UTEHyVdRvoa5PqSrgY2Id3U6DnSnbfL3QX8SdL3STkn30l68zq1u5sgmLWTiLhf0iWkQd+9SDMdFgDfyDexmQvsSprx9Hdg5wrV9DbO7wNulXQOaRblB4DdgNPrPHvifOAjwBmStiV9HXgX4BDSrCW/J7OWFxHLJf0n6Z8zV+T8jNeS4ng90jcJ3kf6cFqMr1NI+WqvlPQDUky8MZe9iZe/Lr4dcKOkX5HScSwizSL8KOlbAjezqmqvqx8lnW9uknQhKe3AWqQZhu8ELqTO7xOs85Rf4yKi/PXaG+eRrh8HAj+NiEo315wOHCXpdFIO4X8DV9X5G3t9dTnwHlKcXgisTRp4Hd7jXmsQESskfZKUy/U2ST8CXgI+RMrXvGUvq9wK+IOk35C+VfEJUkqAk6rY93vAGaRUKVeSvpl1LOkctltZ2WrPRb09F5rV069IkzGukXQe8ALpGr4L6X140c9IudF/CLy98H8WACLiIlI8vBu4ERgu6fCyOv4vIvxt3hbgDzNm1kmWkXK2ng18mfRf198DJ+SvmNXbYcDtpNx438jHvxH4XET8vUL535Duuv0Z0mzLx0mzXSrmqTJrU2cChwJfjIg35TtJfxU4jvS+ZSbppklHUXmAubdx/l3SwNdxpA+cjwDHR8S369mpiHg+33zna6QPiYcAt5LSgJxPHz9MmzWLiHgw54b9ECkn6AmkWfrLSAPH5wM/joh7C/s8LGl30szOw4HRpH8ofQk4IyJKeZvnAD8B3kQahBoKPErKSfuV4lfss6quqxExJ7f5ZFJ8Hk76Z/Ac0uzqy/r2VzFbaeU1jvQ6rtWfSPG0Lemr55WcSprJ+nFSTImUkqlpBpgj4hJJI0mDVV8nDZReRfr2wpM97VtF3ZdL+i/g86RB2cdJ6UVuIv3jqzfeBnwTOA1YhzR4f1JElKfBq+QrpHPgB4F9SDcHPAp4HWUDzL04F/X2XGjWF6VR4RUAEfFnSe8BPke6ni4n3Wdhb1J8FZVuktvdtxIuKpTZOy/ljsTpIluCIlohNZOZWd/kWVTjI2J8g5uymjwz8yHgtIiY3NDGmLWw3sS5pH2AG4AjI2JKvzas53YMIs32uDUiytMDmFkNfF21TiBpFjAoIvqar9jMrFuS3klKc7HaPVHMipyD2czMzGwASFqnwupjSTPL/jjAzTEzsxYlaV/SDSvPa3RbzKztlXKCV/oGrtlKTpFhZmZmNjB+JGkY8H/A88AepJzP9+NBAjMzW4M8sLwNKe3LE6SUCGZmdSfpUNKN944D7vDN92xNPMBsZmZmNjCuJeXC/BwwgnTjwfNJedmXNLJhZmbWEj4P7EnK4zvR1w4z60c/AIJ0U79PNbgt1gKcg9nMzMzMzMzMzMzMauIZzGYNMnbs2Bg/fnyjm2HW9mbOnLkwIjbs7+M4ps0GhmParL04ps3ai2ParL1UG9MeYDZrkPHjxzNjhtMYmfU3SQ8PxHEc02YDwzFt1l4c02btxTFt1l6qjem1+rshZmZmZmZmZmZmZtaePMBsZmZmZmZmZmZmZjXxALOZmZmZmZmZmZmZ1cQDzGZmZmZmZmZmZmZWEw8wm5mZmZmZmZmZmVlNFBGNboNZR1p33XVjhx12WGO522+/HYDXvva1VdXr8o0tP3PmzKrK2cCRNDMiuvr7OJViuq+vN7+ezFY3UDEtKaA5ri8+F1g7a+R1uqTZ3k+2Snmfm6ySgY7pVogXx4q1smpjevBANMasFUmaBBwdEXv2R/3Dhw+nq6v6625vyrp848tb5+kppv16M2s9w4cPZ4cddvD1xaxNVPPeu9nivdXLm/Wn8phutte/48U6jVNkWNuQNE3SIklDG90WMzMzMzMzMzOzTuABZmsLksYDewEBvKOhjTEzMzMzMzMzM+sQHmC2dnEEMB2YAkwsrZQ0RdL3Jf1W0hJJt0raprB9P0n3Snpa0g8k3Sjp6EoHkPQGSX/NZf8q6Q2FbZMkPZiP8ZCkw/qvq2ZmZmZmZmZmZs3BA8zWLo4ALs7L/pI2Lmw7FDgNWB+4HzgTQNJY4HLgM8AGwL3AG6hA0hjgt8B3ctlvAr+VtIGkdfP6t0fEyFzHnd3Uc4ykGZJmPPfcc33rsZmZmZmZmZmZWYN5gNlanqQ9ga2AyyJiJvAA8IFCkSsi4raIeIk0AL1rXn8AMCsirsjbvgMs6OYw/wn8KyKmRsRLEfFz4B7goLz938CrJK0TEfMjYlalSiLivIjoioiuYcOG9aHXZmZmZmZmZmZmjecBZmsHE4FrI2JhfvwzCmkyWHXQ+FlgRP59HDCntCEiApjbzTHGAQ+XrXsY2CwilgHvA44F5ud0HDvU0hEzMzMzMzMzM7NWMrjRDTDrC0nrAIcAgySVBpKHAqMlvXoNu88HNi/UpeLjMvNIs6SLtgR+DxARfwD+kNtzBvAj0k0HzczMzMzMzMzM2pZnMFurOxhYAexESn2xK7AjcDMpL3NPfgvsLOlgSYOBjwObdFP2GmA7SR+QNFjS+/Ixr5a0saR35FzMzwNLc5vMzMzMzMzMzMzammcwW6ubCFwQEY8UV0r6Himn8nXd7RgRCyW9N5f7KSk/8wzSIHF52SclHQh8G/gh6WaBB+Y6NgVOAKYCQbrB38fW1PCtttqKc889t6pOmlnzc0ybtZcdd9yRGTNmNLoZZlYnvk6btRfHtFlz8QCztbSIeFs36y8DLquwfhqFNBgR8XtgOwBJa5FyMM/N26YAUwplbwFeV6HO+cDeNXfCzMzMzMzMzMysRTlFhnU0SftLGi1pKHAKIGB6g5tlZmZmZmZmZmbWEjzAbJ1uD+ABYCFwEHBwRCxvbJPMzMzMzMzMzMxag1NkWEeLiMnA5AY3w8zMzMzMzMzMrCV5BrOZmZmZmZmZmZmZ1cQDzGZmZmZmZmZmZmZWEw8wm5mZmZmZmZmZmVlNPMBsZmZmZmZmZmZmZjXxALOZmZmZmZmZmZmZ1WRwoxtg1qmWPHQX0w7fpM/13PnYC0y+eTGT9xrNrhsPqUPLXL/r75t9LlpQl3paTS0x3YrPL3Tuc2ydZU0x3arx29v6He/WLoox3Szx5fr9/tNq99h9d9bl83S5Zn39+zVuzc4zmNuIpHUkXSXpaUm/6KbMYZKuHei2NZKkLSUtlTSo0W3pD7tuPITJe41m8s2LufOxF1y/62+q+q1nfn7NWlerx6/PD9bJWj2+XL8ZzF+6oiVfn379W7vyAHMLkjRN0iJJQ8s2/RewMbBBRLy30r4RcXFE7NfvjaxA0iRJIemQgTxuRDwSESMiYsVAHncgtfpF0PW3d/3WMz+/Zq2r1ePX5wfrZK0eX67fOt2mIwa17OvTr39rRx5gbjGSxgN7AQG8o2zzVsB9EfFSN/s2OiXKROCp/HNANEGfB0yrXwRdf3vXbz3z82vWulo9fn1+sE7W6vHl+q2TDV9bLf369Ovf2o0HmFvPEcB0YAqFgVpJpwGfB96X00EclWcM/1nS2ZKeAibndbcU9psg6Y+SnpL0mKRT8vrXS/qLpMWS5kv6nqQhhf1C0rGS/pVnU39fkrprtKStgL2BY4D9JW1c2LaPpLmSPi3p8Xy8gyUdIOm+3LZTCuXXkvS/kh6Q9KSkyySNydvG57YdJekR4E+FdYNzmTGSLpA0L7f9yrx+fUlXS3oir79a0uaF406TdHr+my6RdK2ksXnbMEkX5fYslvTXYh8refbF6GlzTVr9Iuj627t+65mfX7PW1erx6/ODdbJWjy/Xb52s1V+ffv1bO/EAc+s5Arg4LysHaiPiC8BZwKU5HcSPc/ndgQeBjYAzixVJGglcB/weGAdsC1yfN68APgmMBfYA3gx8rKwtBwK7Aa8GDgH2X0O7Z0TEL4F/AoeVbd8EGAZsRhoo/xFwOPA60oztz0t6RS7738DBpAHrccAi4Ptl9e0N7NhNm6YCw4EJpL/L2Xn9WsAFpJngWwLLge+V7fsB4Mi83xDgxLx+IjAK2ALYADg2778KScdImiFpxqNLnDPK9Xde/dYzP79mravV49fnB+tkrR5frt86Wau/Pv36t3bhAeYWImlP0uDnZRExE3iANODZk3kR8d2IeCkiygc8DwQWRMQ3IuK5iFgSEbcCRMTMiJie95sNnEsatC36ckQsjohHgBuAXXtoxxHAz/LvP2P1NBkvAmdGxIvAJaSB7W/nNs0CZgG75LIfAU6NiLkR8TwwGfivsnQYkyNiWXmfJW0KvB04NiIWRcSLEXFj7vOTEfHLiHg2IpaQBuTL+3xBRNyX672s0OcXSQPL20bEivz3e6b8jxAR50VEV0R0bTbSOaNcf2fWbz3z82vWulo9fn1+sE7W6vHl+q2Ttfrr069/awceYG4tE4FrI2JhflxpoLbcnB62bUEapF6NpO1yiogFkp4hzY4eW1ZsQeH3Z4ER3dT1/4CtSQPHpXbvLKk4IP1k4SZ8pUHhxwrblxfq3wr4VU5FsZg0I3oF6QaHJd31ewvgqYhYVKGdwyWdK+nh3OebgNGSBhWKddfnqcAfgEty6o2vSlq7mzYAzhnl+ju7fuuZn1+z1tXq8evzg3WyVo8v12+drNVfn379W6vzAHOLkLQOKQ3F3nnQdwEphcWrJb26h117SvQ7B9imm20/BO4BXhkR6wGnAN3mWF6DiXnfO3O7b83rj6ixvjnA2yNidGEZFhGPFsp01+85wBhJoytsOwHYHtg99/mNef0a+51nQp8WETsBbyDNDl9j/1r9IuX6Xb/1Hz+/Zq2r1eO3WL9Zp2mn+HX91mla/fXp17+1Mg8wt46DSbN0dyKlZdiVlGP4ZmofqL0a2ETS8ZKGShopafe8bSTwDLBU0g7AR2s5gKRhpIHxYwrt3hU4DjisLK1Ftc4Bzsw3DkTShpLeWc2OETEf+B3wg3xTv7UllQaSR5JmSi/ONw38QrUNkvQmSTvn2c7PkFJmrFjDbkDrX6Rcv+u3xDfuNLOiVo/fUv1mnahd4tf1Wydq9denX//WqhRR/w/EVn+Sfg/MiogTytYfAnwH2Bz4LCkH8OF52yTg6IjYs1B+lXWSXgV8G3gt8DzwrYj4ch50PS/Xewcpx/K+hf2CNLv5/vx4CjA3Ij5b1r73k26it2XOr1xaPwyYC0wClgIXRcTmedtg0gDt1jn/M5JuAc6JiIskrQUcT8rFPA54nHRzw1MkjQceAtaOiJfyvqusy4PHZwNvI92o74aIeLekcaT0HV3APOAbpMHs0n7TcjvPL/9bSjqUlAt689yfS4FPldpQSVdXV8yYMaO7zWZWJ5JmRkRXfx/HMW02MBzTZu3FMW3WXhzTZu2l2pj2ALNZg/iCaDYw/CbXrL04ps3ai2ParL04ps3aS7Ux7RQZZmZmZmZmZmZmZlYTDzCbmZmZmZmZmZmZWU08wGxmZmZmZmZmZmZmNfEAs5mZmZmZmZmZmZnVxAPMZmZmZmZmZmZmZlYTDzCbmZmZmZmZmZmZWU08wGxmZmZmZmZmZmZmNfEAs5mZmZmZmZmZmZnVZHCjG2DWqVbMnMfTgyb3er+bYzaT4hdM0XsBVv6+l8bXpV2uvzH1j1oxuc9ts8aqJqYH6vW5MJbVpT6zTlYe0wN9fTnw31PqUq+ZJXfOvIOr15oEtM77w2au3+9drdFq/Txdzp/vzOpDEdHoNph1S9JhwMSI2K+BbZgFfDwiptWz3tdoXExb65ia9r05ZnNQ/BSAqzSxbm8uXX/j6vcbkP4jaWZEdPX3caqN6YF4fXpgytpZI2N6IK8vfo9unWKgYvqVGhv38yTQOu8Pm7l+v3e17jTbe+9q+POdWfeqjWmnyLBVSApJ25atmyzpom7Kj5b0E0kLJC2RdJ+kk6s81iRJt1RYP1vSWwAi4uJGDi7nNkyo9+CymZmZmZmZmZlZO/AAs/XV2cAIYEdgFPAO4IGGtqjNlb7Cc5UmcpUmMil+wc0x2/W3Sf3W3gbq9Wlm9TfQ1xczq6+HWNSy7w9bvX6zZubXv1l9eIDZ+mo34GcRsSgi/h0R90TE5fWqvDjLWcnZkh6X9LSkv0l6Vd42RdI5kv6YZ1LfKGmrQj3fljRH0jOSZkraq7BtsqTLJF2Y950lqauwfeWMakmDJJ0i6YFcdqakLXpqWz0V80PtpfHspfFM0XvrdhF0/Y2t39rbQL4+zay+GnF9MbP62pr1W/L9YavXb9ZflvJCn+vw69+sfjzAbH01HThT0pGSXtnPx9oPeCOwHTAaeB/kRGrJYcDpwFjgTuDiwra/ArsCY4CfAb+QNKyw/R3AJbne3wDf66YNnwIOBQ4A1gM+BDxbRdsAkHSMpBmSZjzJs9X2G1j94ldSr4ug629s/dbeGvX6NLO+c/yatYcRDFn5e6u8P2z1+s3600Ms8uvfrIl4gNn66jjSQO4ngLsl3S/p7b3Y/z8kLS4uwJbdlH0RGAnsQLpB5T8jYn5h+28j4qaIeB44FdhD0hYAEXFRRDwZES9FxDeAocD2hX1viYhrImIFMBV4dTdtOBr4bETcG8ldEfFkFW0jt+O8iOiKiK4NGF7ln2jNHz77ehF0/Y2v39pXo1+fZlY7x69Z+2qF94etXL9Zf9ua9Zv29e+YsU7kAWYrtwJYu2zd2qQB1NVExPKIOCsiXgdsAFxGmh08psrjTY+I0cUFeKSbY/2JNLP4+8Bjks6TtF6hyJxC2aXAU8A4AEknSPpnTl+xmJQvemxh3wWF358FhkkaXKEZW1Ahx3QVbatZtR8+a70Iuv7mqN/aU7O8Ps2s95byguPXrM01+/vDVq3fbCCMYEhTvv79+c46lQeYrdwjwPiydVsDD69px4h4BjgLWDfvU3cR8Z08mD2BlI7ipMLmLUq/SBpBSocxL+dbPhk4BFg/D2I/DaiGJswBtqmhbaupJmdUbz989vYi6Pqbp35rP832+jSz3nmIRY5fsw7QzO8PW7F+s4HUbK9/f76zTuYBZit3KfBZSZtLWivf3O4goOKN+yR9TtJukobknMb/AywG7q13w/Jxdpe0NrAMeI4047rkAEl7ShpCysV8a0TMIaWueAl4Ahgs6fOk/Mm1OB84XdIr8439dpG0QRVtW82ackbV+uGz2oug62/N+q01+PVj1vpKNwSrluPXrHW1+vvDZqnfrBGa5fXv67t1OkVEo9tgTUTSOsAXgfcC65PSQUyOiN/k7VsCdwM7RcQjkj4LvJ+UN/kl4G/AKRHxf7n8LOCsiLi4wrEmAUdHxJ5l62fn9dcVy0h6M3A28ArSAO4fgI9ExFJJU/K6bYA9gNuBiRHxkKRBwHm5T8tyHR8rHGMysG1EHJ6PPx54CFg7Il4qa88g4DPAUaQUG/cA7yLlc67Ytu7+1l1dXTFjxozuNptZnUiaGRFd/X0cx7TZwHBMm7UXx7RZe3FMm7WXamO6Uo5Z62ARsZyU2qFieoeIeAQYUXh8BnBGD/VN6GHbFGBKhfXjK5WJiOuBXXpo/sKIOLZCfStIA8JHFVZ/tbB9cln52RTSZ5S1ZwWpv+V9nruGtpmZmZmZmZmZmbUdp8gwMzMzMzMzMzMzs5p4gNnMzMzMzMzMzMzMauIUGdYWImJSo9tgZmZmZmZmZmbWaTyD2czMzMzMzMzMzMxq4gFmMzMzMzMzMzMzM6uJB5jNzMzMzMzMzMzMrCYeYDYzMzMzMzMzMzOzmniA2czMzMzMzMzMzMxqoohodBvMOtKQdcfERhP2a3QzrEnNve2SRjehbUiaGRFd/X2cZotpv4asXbVrTDtmrVO1a0y3M5+vrCeOaceItZdqY3rwQDSmJ5K2BO4GRkXEika3Z6BIOgyYGBFNc0aU9GfgExFxR6Pb0h8kLQV2iYgHu9k+C/h4REzrwzGuAM6LiN+vqeyQdcewxe6H1nooM2syjmmz9uKYNmsvjmmz9uKYNmsua0yRIWm2pBckjS1bf6ekkDS+Lw2IiEciYkSjBpclTZH0kqRxA3nciLi4yQaXDwKWtOvgMkB+nT0IK5/3M8q2T+jL4HL2ZeDMPtZhZmZmZmZmZmbWEqrNwfwQsPJfQ5J2BtbplxYNIEnrAu8BngYOG8DjNnzmeAXHAlMb3YhWFxG3AetJ6vevBJmZmZmZmZmZmTVatQPMU4EjCo8nAhcWC0gaKunrkh6R9JikcyStk7edLGl6aWBV0kclzZI0TNL4PBO6tG2MpAskzZO0SNKVef36kq6W9ERef7WkzQvHnybpdEl/lrRE0rXls64reA+wGPhi7lOxP5Ml/ULSRbm+v0vaTtJnJD0uaY6k/QrlR0n6saT5kh6VdIakQXnbpNyusyU9BUzO624p7D9B0h8lPZX/fqfk9a+X9BdJi3Pd35M0pLBfSDpW0r/y3+X7kpS3bSvpRklPS1oo6dJKf4Rc377AjYV1g/T/2bvzeDnH+//jrzeJWLIhtthirwZf2uCrX0q1KKXV+rZULWkt1Z1vLUV/bVQpSqldWrR2WlqVLvYoWjQpWmonhCxEEpKI/fP747qGO3fmnJwzZ5mZM+/n4zGPM3Pf133d1zUznzP3uc41n0s6RtJTuf8TJa2e931E0j9yvf+Q9JHS6/BjSX+TNFfSDZKWl3S5pFdz+RGl9n89t39Ofg3XyX1+VdI1lf6Wn7PC8evm+7/K/f9jruteSeuUy0o6mPQPhSMrbcz7J0n6RL6/mKTv5f6/nNuxXN63ZH5fvJxfl39IWqnQrPHAp6o912ZmZmZmZmZmZn1JRweY7yHNytwwD5ruCVxWKnMysD6wKbAusCrwg7zvp8CbwPclrQecCOwTEa9XOdelwNLASGBF4PRCWy8G1gTWAOYDZ5eO3Rv4cj5uCeDwRfRrf+BK4CrgA5I+VNq/W27PssD9wI25HauSBqUvKJT9NfB27vtmwI7AgYX9WwJP57YtkEJB0iDgFuAvwPBcx6159zvAYcAwYCvg48DXS+3cFdgc+C/gC8BOefvxwE25/asBZ7XxPKwHvBsRzxe2/R9p1vouwGDgK8BreZD1j8CZwPLAz4A/Slq+cOxewL6k52kd4O+k12454BHgh6XzfxL4MPDfwJHAWNIA8OrARhRmz3fAF4Hjcp+fpEq6iogYC1wOnJLTZuxWpZ5vA7sD25Jek1nAOXnf/sCQ3L7lSbO/5xeOfYT0WixE0sGSJkia8Nb8VzvRLTMzMzMzMzMzs8bT0QFmeH8W8w7Ao8ALlR15xuxBwGERMTMi5pAGkfcCiIh387HfBv5AGthbKNevpFWAnYFDImJWRLwVEXfkOl6OiGsj4rVc/wmkwb+iiyPi8YiYD1xDGuyuSmlxwY8BV0TEdNKA7v6lYndGxI0R8TbwG2AF4KSIeIs0KD1C0tA8e3Vn4NCImBcRL5IGxvcq1DUlIs6KiLdz+4p2BaZFxGkR8XpEzImIe3O/J0bEPfm4SaRB7XK/T4qI2RHxHHB7od9vkQbkh+d676K6ocCc0rYDge9HxGORPBgRL5Nm5j4REZfmNl1Jej8UB2kvjoinIuIV4M/AUxFxS+F53Kx0rpMj4tWIeBh4CLgpIp4uHF8u357rIuK+fK7Laec9sAhfBY6NiOcj4g1gDPC/SjPt3yINLK8bEe/k16g4WjyH9JwuJCLGRsSoiBjVf6nBNTbNzMzMzMzMzMysMXR2gHlvYDSl9BikgdelgYk5ZcBs0mzcFSoF8uDo7cAI3p8JWrY6MDMiZpV3SFpa0gWSnpX0KvBXYGglDUU2rXD/NWBgPvb8nAphbiX1BGmG7SMR8UB+fDmwt6T+hTqmF+7PB2YUFiOsDBIPJA3i9gemFvp/AWm2csXkNvpc6fdT1XYopeUYJ2la7veJpNnMRVX7TZoNLOA+pZQkX2nj/LOAQR1s03Dg2dK2Z0mzlSvKz1v58UAW1Nny7WnrueisNYHfFV7PR0izyVcixcKNwFVKqVxOKb1vBpFSr5iZmZmZmZmZmfVpHR5gjohnSYv97QJcV9o9gzQQODIihubbkIh4b3BP0i6kFA+3klJGxcc4AAAgAElEQVRmVDMZWE5Stdmf3wU2ALaMiMHARytVd6Dth+RUCAMj4sS8eT9g7TxwO42U6mEYaSZyZ00G3gCGFfo/OCJGFpuxiOPXaWPfeaQZwuvlfh9DB/oMEBHTIuKgiBhOmpF7biVfcckTpInoxUHitto0hTT4WrQGhRntPWge6R8ZAEhauQt1tfd6QOr/zoXXc2hELBkRL+SZ9cdFxAeBj5BmoBdzlG8IPNiFtpmZmZmZmZmZmTWFzsxgBjgA2D4i5hU35hQYvwBOl7QigKRVJe2U7w8DLiSlXdgf2C0POFOqZyopJcK5Sov69ZdUGUgeRBrEnp3zAJfz+HaYpK1Ig6dbkFIobErK9XsFC6fJWKTc7puA0yQNzgvErSOpnMqiLeOAlSUdqrRY4iBJW+Z9g4BXgbmSPgB8raPtkvR5vb8Q4izSoOo75XI55cctLJh645fA8ZLWU7JJzrP8J2B9SXtL6idpT+CDuQ897UFgpKRNJS1JSltRq+nA2u3sPx84QdKaAJJWkPSZfP9jkjbOs+dfJaXMKD6v25Lex2ZmZmZmZmZmZn1av84UjoiqaRyyo0iL+t2TB5RfIM2+vZG0aNv1EfEnAEkHABdK2rhKPfuS8hc/Slqo73ZSOowzSAPAM0izaE8jLcJWi/1ze/5d3Cjp58CdeQC7s/YDTgL+QxoUfpq08OEiRcQcSTsAPycNnL9B6u+9pIUKx5LSXdwPXA1s38E2bQ6cIWkIaUD1OxHxTBtlLwC+SXqOIc3oHkAaOB9Gej0+GxHPS9o1t/U80kJ6u0bEjA62qWYR8bikH5EGw+cDR5NmZtfiQuA3Of3F+Igov5d+TpopfpOk4cCLpOf+emBl0gD0asDcvP0yAEmbA/Mi4r5FNeADawzl72d9psbmm1mjcUyb9S2OabO+xTFt1rc4ps0aiyIWlSnAWoWku4BvVVuA0TpG0rXAhZV/prRn1KhRMWHChF5olVlrkzQxIkb19Hkc02a9wzFt1rc4ps36Fse0Wd/S0Zju1Axm69siYut6t6HZRcQe9W6DmZmZmZmZmZlZb+lsDmYzMzMzMzMzMzMzM8ADzGZmZmZmZmZmZmZWIw8wm5mZmZmZmZmZmVlNPMBsZmZmZmZmZmZmZjXxALOZmZmZmZmZmZmZ1cQDzGZmZmZmZmZmZmZWEw8wm5mZmZmZmZmZmVlN+tW7AWat6yVg7CJLjRlzQ/65W4dqdfmeKn9Dh8pbK1s4pnv//Xxwh44zs0WbMuVJxozZrZc/jxzDZj2n7Wvvxr3+rEd5/x6yZpFiunHjy38/Wmtp6RnMktaQNFfS4vVuS2+S9CVJN9W7HUWS7pa0Wb5/jKRf1rtNtZB0n6SR9W6HmZmZmZmZmZlZb2joAWZJkyS9KWlYafsDkkLSiK7UHxHPRcTAiHinK/XUStKvJL0taXhvnjciLo+IHXvznO2RtBswJyLuB4iIEyPiwA4eO0bSZT3awLbP/StJPy5tPhX4UT3aY2ZmZmZmZmZm1tuaIUXGM8AXgbMAJG0MLFXXFnUDScsAewCvAF8CftpL5+0XEW/3xrk64RDg0nqcuAeejz8A50taJSKmtldwypRXOvS1meOOG9epBrh8z5QfM6ZTh1kLqhbTvf1+HjPGX2s16y5Tp77SqZjsjnh3DJv1nPauvRv1+rMe5f17yJpFJaYbNb7896O1moaewZxdCuxXeLw/cEmxgKQBkk6V9Jyk6ZLOl7RU3neUpHsk9cuPvybpYUlLShqRZ0JX9i0n6WJJUyTNkvT7vH1ZSeMkvZS3j5O0WuH84yUdn9M8zJF0U3nWdRV7ALNJs133L/VnjKTfSLos1/dvSetLOlrSi5ImS9qxUH6IpAslTZX0gqQfV9J+SBqd23W6pJnAmLztrsLxIyXdLGlmfv6Oydu3kPR3SbNz3WdLWqJwXEg6RNIT+Xk5R5LyvnUl3SHpFUkzJF1d7UnI9W0P3FHq/2X5fuU12j+/vjMkHZv3fRI4Btgzpzp5sJbnI2//iqRHcj9ulLRm3q5c9sXcl39J2kjSwaR/DByZz30DQES8DkwEGmaGuJmZmZmZmZmZWU9phhnM9wD7StoQeBzYE9gaKKYmOBlYG9gUeAu4AvgBcDRpZvCngO9Luhw4Edg+Il7PY6FFlwJzgZH550fy9sWAi4EvAIsDFwFnA7sXjt0b2BmYDPwZOBz4Xjv92h+4ErgKOE3ShyLin4X9uwGfAUbn890I/BJYNW+7AFgrl/01MB1YF1gGGJfbcUHev2U+z4pAf9JzCICkQcAtpNQOu+X9H8y73wEOAyYAq+V+fR04o9DOXYHNgcGkgdUbgL8AxwM3AR8DlgBGtfE8rAe8GxHPt/VEZVsDGwDrA/dJui4i/iLpRGDdiNinULZTz4ek3UkD1bsBT5BetytJr/+OwEfzeV8BPgDMjoixkj4CPB8R3y+19RHgv6p1Ig9MHwywxhrLdXihAOj4ogIu3zPlzRZl+PAhbb6v/H42az6rrDKEgw/exvFr1ke09zld0Wjx3mjlzRpJOaYdL2b11QwzmOH9Wcw7AI8CL1R25BmzBwGHRcTMiJhDGkTeCyAi3s3HfpuUvuCUSq7fIkmrkAaID4mIWRHxVkTcket4OSKujYjXcv0nANuWqrg4Ih6PiPnANaTB7qokrUEaeL0iIqYDt1KaxQzcGRE35vQNvwFWAE6KiLdIg6MjJA2VtFJu96ERMS8iXgROr/Q/mxIRZ0XE27l9RbsC0yLitIh4PSLmRMS9ud8TI+KefNwk0gBtud8nRcTsiHgOuL3Q77eANYHhud67qG4oMKet56rguIiYHxEPAg/S9gBuLc/HV4GfRMQj+fk+Edg0z2J+CxhEGlhWLtNu6ovcn6HVdkTE2IgYFRGjVlhhYAe6bWZmZmZmZmZm1riaaYB5b9LM3UtK+1YAlgYm5lQOs0kzaFeoFMiDo7cDI4Bz2jjH6sDMiJhV3iFpaUkXSHpW0qvAX4GhlbQL2bTC/deAgfnY83MKhbmV1BPAvsAjEfFAfnw5sLek/oU6phfuzwdmFBYjrAwSDyQN4vYHphb6fwFpdm7F5Db6XOn3U9V25LQc4yRNy/0+ESin/qjab+BIQKTZxg9L+kob559FGsBdlLbOU1bL87Em8PNC+Zm57atGxG2k2ernANMljZU0eBFtHURKf2JmZmZmZmZmZtanNcUAc0Q8S1rsbxfgutLuGaQB15ERMTTfhkTEewOQknYBtiLNFG5rMb3JwHKSqs08/S4pPcOWETGYlDIB0iDkotp+SEQMzLcT8+b9gLXzwO004GekgdudF1VfG+1+AxhW6P/giBhZbMYijl+njX3nkWaMr5f7fQwd6DNAREyLiIMiYjhphvC5ktatUvQJ0kT0VTtSb7VTlR7X8nxMBr5aKD80IpaKiL/lvpwZER8mpU5ZHziijXoqNiTNsjYzMzMzMzMzM+vTmmKAOTuAlDt5XnFjToHxC+B0SSsCSFpV0k75/jDgQuBAUhqK3fKAM6V6ppJyDJ+rtKhff0mVgeRBpEHs2ZKWA35YayckbUUa0N2ClE5iU2AjUt7ocpqMRcrtvomUx3mwpMUkrSOpnMqiLeOAlSUdqrRY4iBJW+Z9g4BXgbmSPgB8raPtkvR5vb8Q4izSYOw75XI55cctLJx6o6Omk9KFLJbrq+X5OB84WtLI3PYhkj6f728uacs8u3we8HqhH9NJub/fI2kA8GHg5hr7Y2ZmZmZmZmZm1jQU0d7k1vqSNAk4MCJuKW3vR8qNu1ZETJK0JGlRv71IM4FfAM6LiDMlXQe8GBGH5GN3Jg04b0waQH0G6B8Rb+fB49OBT5IWprs9Ij4naThpAHgUMAU4jTQoWTluPHBZRPwyn2N0bvfWVfp0PrBCROxR2r4FcCewCilf9HsL10n6BPDLiBhR6v/qEfG8pCHASaRF6gYBTwMnR8RV1dpS3iZpI+DnwIdIs3/PiIiT8gD7WNICf/eT0oxsXzguSLObn8yPf0Ve9E7SKcCXgCGkgdiTI2Js+fnIx30K+GZE7Jwfj6n0X9KI4muU97/3fEtaHrieNLv4mYj4UGefj1znvqS0HmuSFvO7OSK+IunjpPfE2qTB5RtJs53nSlqPlB97BDA+InbPA9NfjIjPVetr0ahRo2LChAmLKmZmXSRpYkS0tdBot3FMm/UOx7RZ3+KYNutbHNNmfUtHY7qhB5itdUi6C/hWtQUYm4mke4EDIuKhRZX1B6JZ7/BFrlnf4pg261sc02Z9i2ParG/paEz3643GmC1KtdnezSgitlx0KTMzMzMzMzMzs76hmXIwm5mZmZmZmZmZmVkD8QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTTzAbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVpN+9W6AWcuaM4137/gJ4+9/mj3HXMHVY/Zmu83W7vbTuP7mrn+xbY/u9jZZD8kx3Z068v7xe8Ssh3Qxpsvx61g1q7NOxHSjXx/2dP3+fWVNoY2Y7qn4clyYta9lZzBLWkPSXEmL17stvUnSlyTdVO92FEm6W9JmdW7DNpIe60C5MZIua2f/fZJGdubc2222NleP2Zs9x1zB+Puf7syhrt/1WwOZ89ob3V6n3z9mzcvxa9a8mv360L9/rJX5/W9WHw07wCxpkqQ3JQ0rbX9AUkga0ZX6I+K5iBgYEe90pZ5aSfqVpLclDe/N80bE5RGxY2+esz2SdgPmRMT9+fFQSRdJmiZpjqTHJR3V0+2IiDsjYoNuqOpU4EedPajZLzJdf33rt8bw9NSZfv+Y2QKK8WtmzaXZrw99/WCtzO9/s97XsAPM2TPAFysPJG0MLFW/5nQPScsAewCvAF/qxfM2YkqUQ4BLC49PBwYCGwJDgE8DT9WhXbX6A/AxSat09sBmv8h0/fWt3+pv7VWW8/vHzBZSiV8zaz7Nfn3o6wdrZX7/m/WuRh9gvhTYr/B4f+CSYgFJAySdKuk5SdMlnS9pqbzvKEn3VAZWJX1N0sOSlpQ0Is+EruxbTtLFkqZImiXp93n7spLGSXopbx8nabXC+cdLOj6neZgj6abyrOsq9gBmk2a67l/qzxhJv5F0Wa7v35LWl3S0pBclTZa0Y6H8EEkXSpoq6QVJP66k/ZA0OrfrdEkzgTF5212F40dKulnSzPz8HZO3byHp75Jm57rPlrRE4biQdIikJ/Lzco4k5X3rSrpD0iuSZki6utqTkOvbHrijsHlz4IqImBUR70bEoxHx29J5vy3p6Vz3TyUtlvetI+k2SS/nfZdLGlo4dpKkwyX9K7ftaklL5n3bSXq+UPao/HzOkfSYpI8X2riEpEvyvocljarsiIjXgYlATbPEm/0i0/XXt36rr0FLD/D7x8yq6okcq2bWO5r9+tDXD9bK/P436z2NPsB8DzBY0oZ50HRPoJz/9mRgfWBTYF1gVeAHed9PgTeB70taDzgR2CcPApZdCiwNjARWJM2khfQcXQysCawBzAfOLh27N/DlfNwSwOGL6Nf+wJXAVcAHJH2otH+33J5lgfuBG3M7ViUNSl9QKPtr4O3c981IA5sHFvZvCTyd23ZC8SSSBgG3AH8Bhuc6bs273wEOA4YBWwEfB75eaueupAHh/wK+AOyUtx8P3JTbvxpwVhvPw3rAuxHxfGHbPcAJkr6cX7NqPguMAj4EfAb4SqVLwE9yXzYEVgfGlI79AvBJYC1gE2B0uXJJGwDfBDaPiEG5X5MKRT5Neu2GkmYsl98Pj5Cek4VIOljSBEkTXnplXtXONftFpuuvb/1WX37/mJmZ9T3N/vnu6wdrZX7/m/WORh9ghvdnMe8APAq8UNmRZ8weBBwWETMjYg5pEHkvgIh4Nx/7bdJA4CmVXL9FOZ3BzsAheebsWxFxR67j5Yi4NiJey/WfAGxbquLiiHg8IuYD15AGu6uStAbwMdIs3emkAd39S8XujIgbI+Jt4DfACsBJEfEWaWBzhFKu4pVyuw+NiHkR8SJpYHyvQl1TIuKsiHg7t69oV2BaRJwWEa9HxJyIuDf3e2JE3JOPm0Qa1C73+6SImB0RzwG3F/r9FmlAfniu9y6qGwrMKW37FnA5aYD3P5KelLRzqczJ+fV+DjiDnEYlIp6MiJsj4o2IeAn4WZU2nxkRUyJiJnAD1V+rd4ABwAcl9Y+ISRFRTNNxV0T8KefvvpSFB5Pn5L4tJCLGRsSoiBi1wpBlqhUBmv8i0/XXt36rL79/zPqGnli408yaV7N/vvv6wVqZ3/9mPa9ZBpj3Js00vaS0bwXSrOOJOZXDbNJs3BUqBfLg6O3ACOCcNs6xOjAzImaVd0haWtIFkp6V9CrwV2BoJQ1FNq1w/zVSDmGU0nXMzbdj8v59gUci4oH8+HJgb0n9C3VML9yfD8woLEZYGSQeSBrE7Q9MLfT/AtJs5YrJbfS50u+q+Y1zWo5xSovtvUoauC+n/qjab+BI0mzi+3IKia9Q3SxgUHFDRMyPiBMj4sPA8qQB+99IWq6NPj1LmrGMpBUlXZVTW7xKmu3e0TYX2/AkcChp9vOLuc7iYozlOpbUgvmtB5FSoHRJs19kuv761m/11ZvvHzPrGT21cKeZNa9mvz709ae1Mr//zXpWww8wR8SzpMX+dgGuK+2eQRpwHRkRQ/NtSES8N2goaRdSiodbSSkzqpkMLFfM11vwXWADYMuIGAx8tFJ1B9p+SEQMzLcT8+b9gLXzwO000izbYaSZyJ01GXgDGFbo/+CIGFlsxiKOX6eNfeeRZoyvl/t9DB3oM0BETIuIgyJiOPBV4FxJ61Yp+gRpIvqqbdRTGdhehpTSomL1wv01gCn5/k9I/d0kt3mfjra5yrmviIitSYP4QUrF0lEbAg/Wct6yZr/IdP31rd/qq7feP2bWM3py4U4za17Nfn3o609rZX7/m/Wchh9gzg4Ato+IBZLW5hQYvwBOl7QigKRVJe2U7w8DLiTlJN4f2C0POFOqZyrwZ9JA6LKS+kuqDCQPIg1iz86zaH9YayckbUUa0N2ClJphU2Aj4AoWTpOxSLndNwGnSRosabG80F05LURbxgErSzpUabHEQZK2zPsGAa8CcyV9APhaR9sl6fN6fyHEWaQB2nfK5XLKj1sopLGQ9P8kbS5pibwA33dIs4EfKxx6RH6dVs/7K4sIDgLmkl6rVYEjOtrmUvs3kLS9pAHA66TXf6H2t3HsAODDwM21nLuaZr/IdP31rd/qqzfeP2bWM3p64U4za17Nfn3o609rZX7/m/WMfosuUn+l/LdlR5EW9bsnDyi/QJp9eyMwFrg+Iv4EIOkA4EJJG1epZ19S/uJHSQv13U5Kh3EGaQB4Bmmm7GnA7jV2Zf/cnn8XN0r6OXBnKQ1ER+0HnAT8hzTA+jQdnG0bEXMk7QD8nDRw/gapv/eSFiocS0p3cT9pEHf7DrZpc+AMSUNI6T6+ExHPtFH2AlK+5cr3vIO0qOIapMUL/wV8KiLmFo65HpgIDAF+RfonAsBxpDQqrwBPktKrHNbBNhcNID2nG5LySf8NOLiDx34aGB8RUxZZctDKLLbt0R2qdPtt4aVDf9HBJnSe6+/b9VsvaSOm/fqaNalBK7P9ob9w/Jr1FZ249u6IZr8+9PWJNb0uxLTf/2bdTxHtZVAw63mS7gK+VW0Bxiplg5S248meb1nnSboXOCAiHlpU2VGjRsWECRN6oVVmrU3SxIgY1dPncUyb9Q7HtFnf4pg261sc02Z9S0djuilmMFvflnMd9wkRseWiS5mZmZmZmZmZmfUNzZKD2czMzMzMzMzMzMwajGcwW1OJCNW7DWZmZmZmZmZmZpZ4BrOZmZmZmZmZmZmZ1cQDzGZmZmZmZmZmZmZWEw8wm5mZmZmZmZmZmVlNPMBsZmZmZmZmZmZmZjXxALOZmZmZmZmZmZmZ1aRfvRtg1qqmT53B7b97uN0yDzx0H8ed+l1+ePhpbLrRFh2qtzPHuP7eq/9jnx3ZoeOtec2ZPX+BmK73+9PvObOueeD+Bzj9+It7LX4ds2Y9q/w5XdRXrz87U9a/g6zZVGK6UeLLMWStzjOY+yhJa0iaK2nxXjznNpIe66VzfUnSTb1xrp4yddrzPPDQfW3ur+XDD2DTjbbgh4efxnGnftf1N3D91rc16vvTzDpulZVXc/yatYhGuT5s1PrNGlmjxJdZq/MAc51ImiTpTUnDStsfkBSSRnSl/oh4LiIGRsQ7Xamnk+e8MyI26KVzXR4RO/bGucokbSfp+a7Ws8rKq7X5IdXVi79FfQi6/vrWb31bo78/zaxjll5qmU4f4/g1a171vj5s9PrNGlkjxJdZq/MAc309A3yx8kDSxsBS9WtOa5DUEKlhll5qmaofUt118dfWh6Drr2/91rc1y/vTzHqO49esefXV60///rFWUO/4Mmt1HmCur0uB/QqP9wcuKRaQNEDSqZKekzRd0vmSlsr7jpJ0T2XAVNLXJD0saUlJI/JM6Mq+5SRdLGmKpFmSfp+3LytpnKSX8vZxklYrnH+8pOMl3S1pjqSbyrOuC2UXmNmbZ2kfIelfkuZJulDSSpL+nOu6RdKyuWylvV+WNDm35RBJm+fjZ0s6u1D3aEl3FR7vKOkxSa9IOlfSHZIOLJS9W9LpkmYCYyStI+k2SS9LmiHpcklDS20/PJ/7FUlX5+d1GeDPwPCcgmSupOGStpA0QdKr+XX6WUfeAOUPqe6++HP9jVO/9X2vzZ/XVO9PM+s5jl+z5tWXrj/9+8daTT3jy6zVKSLq3YaWJGkScCBwDrA78DgwCdg6/1wrIiZJOgNYGxgNvAVcATwUEUdLWgwYD9wGXA7cB2wfEffnFBvPAP0j4m1JfwTmAofknx+JiDskLQ9sRxo0XRy4KB+ze27neGB1YGdgci53T0R8r0qftgMui4jVCn2cBnyGtKDk/cDzwAHAf3Jdd0TEcYX2XgAcCnwU+APwF+BgoH8+/vO53aOBAyNi6zzg/XR+jv4AfAM4FfhaRPwyl/0lcBhwXq5rVWAt4K/AYOBa4J8RcWih7S/m1+Z14G7g5xFxfrmfufzfgXMj4lJJA4GNIuKeKs/Rwbk/rLTCKh++8oKbgfRfz//7wVcA+NmPLur2iz/XX//6D/t/X+7WOq3jJE2MiFG9cJ5opPenFxqxvqq3YnqDdUfG+T+9pkt1dCZ+HbPWqho1pvvC9Wdn6vfvIOsujRDT9Ygvx5D1VR2Nac9grr/KLOYdgEeBFyo7JAk4CDgsImZGxBzgRGAvgIh4Nx/7bdLA6ikRcX/5BJJWIQ0QHxIRsyLirYi4I9fxckRcGxGv5fpPALYtVXFxRDweEfOBa4BNO9G/syJiekS8ANwJ3BsR90fEG8DvgM1K5Y+PiNcj4iZgHnBlRLxYOL5cHmAX4OGIuC4i3gbOJA1sF02JiLMi4u2ImB8RT0bEzRHxRkS8BPysSr/PjIgpETETuGER/X4LWFfSsIiYW21wGSAixkbEqIgYNWTwsu1UZ2ZmZmZmZmZm1vg8wFx/lwJ7k2bfXlLatwKwNDAxp4iYTZrRu0KlQERMAm4HRpBmQ1ezOjAzImaVd0haWtIFkp6V9CppRu9QSYsXihUHa18DBna4dzC9cH9+lcflujpbHmA4aXY1AJGm5ZcX4ZtcfCBpRUlXSXoh9/syoJz6ozP9PgBYH3hU0j8k7dpO2QVUvlbzsx9dxM9+dFG35+x1/Y1Rv/V9qw1fs+nen2bWcxy/Zs2rr1x/+vePtSLHl1l9eIC5ziLiWVJqiF2A60q7Z5AGVUdGxNB8GxIR7w10StoF2Aq4FfhpG6eZDCxXzDFc8F1gA2DLiBhMSk0BoFr7VAdTgWK6ChUfZ+VcMD/J2zbJ/d6Hjvd5obwyEfFERHwRWBE4GfhtztfcrnJOqO5eGM71N0791ve1tXBnrXr6/WlmPcfxa9a8+tL1p3//WKupZ3yZtToPMDeGA0i5k+cVN+YUGL8ATpe0IoCkVSXtlO8PAy4k5XLeH9gtDzhTqmcqKd/xuXlRv/6SKgPJg0iD2LMlLQf8sEd62LP+CGwsaXelRQ2/Aay8iGMGkXJRz5a0KnBEJ843HVhe0pDKBkn7SFohv2az8+Z32qukrQXBuutDsK0FDVx/feu3vq1Z3p9m1nMcv2bNq69ef/r3j7WCeseXWavzIn91UlnkLyJuKW3vR8rnW1nkb0ngB6S8y8NIOZrPi4gzJV0HvBgRh+RjdyYNOG9MGkAtLvK3HHA68ElgCeD2iPicpOGkhQNHAVOA04DzC8eNJy1o98t8jtG53VtX6dN2LLzI33t9lHQZ8GREjMmPDwT2iohPlBclzPufB/aJiPGF4x+NiB+X2yHpk6TcyyuRFjzcjPcX3VuozZJGklKSbAA8SUpVclg7bR8DrBsR++THF5EWL1wc+CBwCrAjKaXJs8CxEfH78nNUNGrUqJgwYUJ7RcysG/TWQiOOabPe4Zg261sc02Z9i2ParG/paEx7gNn6HEmLkXIwfykibq93e9riD0Sz3uGLXLO+xTFt1rc4ps36Fse0Wd/S0Zh2igzrEyTtJGmopAHAMaR8yvfUuVlmZmZmZmZmZmZ9mgeYra/YCniKtDDibsDuETG/vk0yMzMzMzMzMzPr2/rVuwFm3SHndR5T52aYmZmZmZmZmZm1FM9gNjMzMzMzMzMzM7OaeIDZzMzMzMzMzMzMzGriAWYzMzMzMzMzMzMzq4kHmM3MzMzMzMzMzMysJh5gNjMzMzMzMzMzM7Oa9Kt3A8xa1ZR5Uxhz35h6N6NljNliTL2bYH1cb8S038dmvacnY9qxbNb7fO3dPv9esmbTqDHtWLJW5RnMLUbSGpLmSlq83m0BkPSwpO3q3Y5qJG0j6bF6t8PMzMzMzMzMzKxReYC5wUiaJOlNSTE7JYIAACAASURBVMNK2x+QFJJGdKX+iHguIgZGxDtdqae7RMTIiBhfy7H5+ZguqV9hWz9JL0qKbmjbnRGxQVfrMTMzMzMzMzMz66ucIqMxPQN8ETgLQNLGwFJ1bVHjmg3sDNyQH+8CzAJWqFuLOmjOjDmM/8X4ejejdWxR7wZYX9crMe33sVmv6dGYdiyb9Tpfey+Cfy9Zk2nYmHYsWYvyDObGdCmwX+Hx/sAlxQKSBkg6VdJzeRbv+ZKWyvuOknRPZWavpK/lVBRLShqRZ/5W9i0n6WJJUyTNkvT7vH1ZSeMkvZS3j5O0WuH84yUdL+luSXMk3VSZdZ3Pc5mklyXNlvQPSStV62iesf2JfH+MpGskXZLrfFjSqE4+V/tVea6GSLpQ0lRJL0j6cSVFiKTzJP22UPZkSbcq2U7S84V9q0u6Lj8nL0s6O29fTNL3JT2bZ09fImnIItptZmZmZmZmZmbW9DyDuTHdA+wraUPgcWBPYGvgx4UyJwNrA5sCbwFXAD8AjgZ+CnwK+L6ky4ETge0j4nVJ5XNdCswFRuafH8nbFwMuBr4ALA5cBJwN7F44dm/S7OHJwJ+Bw4HvkQbEhwCrA2/kNs7vYN8/DXwO+HLu79nAf7dT/vfAtyQNzY+3Acaw4HP1a2A6sC6wDDAut/kC4LvAA5JGA08BBwCbRkQUn6s8ID0OuA3YF3gHqAx+j863jwEvkga4z87lFiDpYOBggCErD2G7g7Zrp2tm1kwGDRvkmDbrQxzTZn2LY9qsb3FMmzUWDzA3rsrM3DuAR4EXKjuURj4PAjaJiJl524mkQeajI+JdSfsB/yQNTp8SEfeXTyBpFdIA8fIRMStvvgMgIl4Gri2UPQG4vVTFxRHxeN5/DWlwGNKA9/LAuhHxL2BiJ/p9V0T8Kdd5KXDoIsq/TkqPsScg4A95W6XdK+U+Do2I+cA8SaeTBnkviIjXJO0D/AWYA3wrIp5nYVsAw4EjIuLtSlvzzy8BP4uIp/M5jwYekvTlQlkAImIsMBZg+IbDu5wn2szMzMzMzMzMrJ48wNy4LgX+CqxFKeUDKb/w0sDEwixbkWYaAxARkyTdTspJfE4b51gdmFkYXH6PpKWB04FPAsvmzYMkLV5YIHBa4ZDXgIGFtq8OXJVnFl8GHBsRb7Xb4+p1LimpX3mgtuQS4Cek5+Co0r41gf7A1MJztRhpBjMAEXGfpKeBFYFr2jjH6sCzbbRjOPBs4fGzpNhaicI/BszMzMzMzMzMzPoa52BuUBHxLGmxv12A60q7Z5BSToyMiKH5NiQiKgO8SNoF2Aq4lZQyo5rJwHKF9BJF3wU2ALaMiMHARytVd6Dtb0XEcRHxQVLKjV1ZME9yd7sTWIU0oHtXad9kUpqOYYXnanBEjKwUkPQNYAAwBTiyjXNMBtao5K4umUIayK5YA3iblJbDzMzMzMzMzMysz/IAc2M7gJQ7eV5xY0S8C/wCOF3SigCSVpW0U74/DLgQOJCUD3m3POBMqZ6ppNzJ5+ZF/fpLqgwkDyINYs+WtBzww442WtLHJG2c8xa/SkqZ8c4iDqtZRASwG/DpfL+4bypwE3CapMF5Qb51JG2b27o+KV/zPqScyUdK2rTKae4DpgInSVomL2T4P3nflcBhktaSNJCU8/rqRcy6NjMzMzMzMzMza3pOkdHAIuKpdnYfRVrU7548oPwCcB5wIynH7/WFXMYHABdK2rhKPfuSUmE8CixByrP8V+AMUk7nGaQZuqex4AJ/7VkZOB9YjbRw4NWkNBk9JiIebmf3fsBJwH9IA+dPAyfn2ciXASdHxIMAko4BLpU0qlhBRLwjaTfgTOA5IEjPz92kBRCHk563JUmvwbcW1ebhywxnzBZjOtFLM2tkjmmzvsUxbda3OKbN+hbHtFljUWnCp5n1klGjRsWECRPq3QyzPk/SxIgYteiSXeOYNusdjmmzvsUxbda3OKbN+paOxrRTZJiZmZmZmZmZmZlZTTzAbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTRQR9W6DWUuSNAd4rN7tqINhwIx6N6JOWrXv9e73mhGxQk+fxDHdklq17/Xut2O6Z9X79a2nVu17vfvtmO5Z9X5966lV+17vfvd4TEs6GDgBeLYnz9Og6v361lOr9r3e/e5QTPfrjZaYWVWPRcSoejeit0ma0Ir9htbtewv12zHdYlq17y3Ub8d0i2nVvrdQvx3TLaZV+94i/T64N/4x1Yha5PWtqlX73iz9dooMMzMzMzMzMzMzM6uJB5jNzMzMzMzMzMzMrCYeYDarn7H1bkCdtGq/oXX73ir9bpV+lrVqv6F1+94q/W6Vfpa1ar+hdfveKv1ulX6WtWq/oXX73gr9boU+tsV9bz1N0W8v8mdmZmZmZmZmZmZmNfEMZjMzMzMzMzMzMzOriQeYzczMzMzMzMzMzKwmHmA262aSPinpMUlPSvpelf0DJF2d998raURh39F5+2OSdurNdneHWvsuaQdJEyX9O//cvrfb3lVded3z/jUkzZV0eG+1uTt08f2+iaS/S3o4v/ZL9mbbO8ox3Xox3arxDI7pvN8x7ZgeUdrvmHZMNyTHtGO6yn7HtGPaMd1E+lRMR4RvvvnWTTdgceApYG1gCeBB4IOlMl8Hzs/39wKuzvc/mMsPANbK9Sxe7z71Ut83A4bn+xsBL9S7P73V98L+a4HfAIfXuz+99Jr3A/4F/Fd+vHwjvt8d060X060az93wmjumG/zmmHZMO6Yd047p9/Y7ph3TDXdzTDummz2mPYPZrHttATwZEU9HxJvAVcBnSmU+A/w63/8t8HFJytuviog3IuIZ4MlcX7Ooue8RcX9ETMnbHwaWlDSgV1rdPbryuiNpd+BpUt+bSVf6vSPwr4h4ECAiXo6Id3qp3Z3hmG69mG7VeAbHdIVjOnFM45h2TDc0x7Rj2jHtmHZMO6YbJqY9wGzWvVYFJhceP5+3VS0TEW8Dr5D+29SRYxtZV/petAdwf0S80UPt7Ak1913SMsBRwHG90M7u1pXXfH0gJN0o6Z+SjuyF9tbCMf2+VonpVo1ncEwvVMYx7ZjGMe2YblyO6cQx3UYZx7Rjuofa2d0c0+9r6pjuV+8GmPUxqrItOlimI8c2sq70Pe2URgInk/4b10y60vfjgNMjYm7+J2wz6Uq/+wFbA5sDrwG3SpoYEbd2bxO7zDG9oFaI6VaNZ3BML6qMY9ox3Wwc0+2XcUw7ppuNY7r9Mo5px3Sz6VMx7RnMZt3reWD1wuPVgCltlZHUDxgCzOzgsY2sK31H0mrA74D9IuKpHm9t9+pK37cETpE0CTgUOEbSN3u6wd2kq+/3OyJiRkS8BvwJ+FCPt7jzHNPva5WYbtV4Bsf0QmUc045pHNOO6cblmE4c022UcUw7ppuEY/p9zR3TUccE0L751tdupP8iPU1aVKCSpH1kqcw3WDBJ+zX5/kgWXJTgaZprUYKu9H1oLr9HvfvR230vlRlDEy1M0MXXfFngn8DSuZ5bgE/Vu0/d3EfHdBPGdKvGcze85o7pBr85ph3TjmnHtGN6gTKOacd0Q90c047pZo/puj+hvvnW127ALsDjpNVAj83bfgR8Ot9fkrTC6ZPAfcDahWOPzcc9Buxc7770Vt+B7wPzgAcKtxXr3Z/eet0LdTTjh2JX3u/7kBZjeAg4pd596aE+OqabMKZbNZ672nfHdOPfHNOO6c703THd+DfHtGO6M313TDf+zTHtmO5M3xstppUbZWZmZmZmZmZmZmbWKc7BbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTTzAbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTTzAbGZmZmZmZmZmZmY18QCzmZmZmZmZmZmZmdXEA8xmZmZmZmZmZmZmVhMPMJuZmZmZmZmZmZlZTTzAbGZmZmZmDUvSQEkh6ex6t8XMGpOkEfn3xJh6t8XMkhyTv6p3O6x3eIDZzBqSpO3yB1JIOrCNMiFpXA+df1NJYySN6In6zfqKUqxWbnMl/VPSYZL61buNvUnSaEmH1rsdZr2tyu+B9m4j6t1eM+u4Nj7rX5f0tKSLJW1Y7zaaWW0c39ZdWuqPPjNrWsdJujwi5vfiOTcFfgiMByb14nnNmtWVwJ8AASsD+wE/AzYEDq5ju3rbaGAEcEZ9m2HW6/YtPd6GFPtjgTtL+17qTMURMVfSUsDbtTfPzLpB5bMeYClgE+BAYA9JG0fEs3VrmZl1lePbusQDzGbW6CYAo4BDgZ/09MkkDYqIOT19HrM+6J8RcVnlgaRzgUeBAyUdGxGdGlAys+ZSjH+A/O2Fg4G/l/fVWP/rXa3DzLrsn1Vi/Qng58DngNPr0ioz6w5NEd/+e71xOUWGmTW6a4CJwFGSlu/IAZJ2l3R3/pr+3Hz/M1XKTZI0XtJmkm6U9Arwr5y77eJc7PbCV4V+VTh2gKRjJD2cv0I0W9INkjYrnaPylaPRkr6cy78h6VlJR3al/WaNLCLmAfeQZjSvU9wnaZSk30makePhMUnHVkunIWkPSQ/mOHtO0g8lfaISV6WyIyRdK+lVSa9Iul7SWpVYL5XdU9Ifcp1v5Lb8XtIm1frTkTZLmgRsC6xZ+prhdoUyH5V0c27ffKVUIgdUOd/43O7hkq6UNEvSvPy7av1FvgBmTUDS4pIOlfRAjodXc3z8T6lc1RzMkvaT9EdJk3NcvijpN9W+zptjd5ykTSTdlD9fZ0u6otr1haT1JF2V63xD0uNKqbMGdP8zYdbUpuSfbxY3Svp6jrUXJL0paaqky1QlRU7lOlvSVpLuyJ93MyT9UtLAKuW3ztfH8yVNz78bqpVbLH9W/1XStNyO5ySdVy3uzWwhC8W3pH6SjpL0n3x9/nK+Rt64o5Xma/mb8ufw65L+JemQKuWq/r1e2D9M0jn5OuDN/PMcx3d9eAazmTW6AI4CbgGOBf6vvcKSvg6cQ5o5+eN8/Gjg95K+GhFjS4esAdwG/Aa4lnRxeguwCmnm1YnAI7nsU/kc/YG/AB8BLgXOBoYABwF3S/poREwonecQYCXgQmA2sA9wsqTnI+KKLrTfrJFVBpZnVjZI2gX4HfAkcFretxXwI1Jqms8Xyu5J+rreU8BxpK/H7w/sVj5RvpC8kxRn55PidhvgdmCZKm37Zj73WGBabuvBpBj+UEQ8UUObK9+0GAYcVjjXI7me3XI903I9c4C9gF9KWjsiji21cRngr6SB+mOAtYDvANdL2igi3qnSL7OmIEnAb0nxfBUpFpcmfeaNl7RzRNyyiGq+AzwDnEdKu7E+6bP4E5L+KyKeK5VfG7iV9HvlWmAL4CvAkqTZWZW2rQ/cCwwgfSZPAnYgpc7aUtKnIuLdmjpu1tyWljQs318K2Ag4AZhBiqmiw0mfX2eSPjc3In3dfnulr9u/XCq/KTCONMnjCmA74ADgXQqptiRtSbpWnwOcTLqu3gu4pEp7lwCOyG27HpgHbJ7r3VrShyPizSrHmbWijsb35cAXgJtJn78rA98A/i5pm4i4v72TSDqYdK1+T65/Hukz9jxJ60TEEaVDqv29jqQhwN+AdYGLgH8CmwFfI/2e2cIznXtZRPjmm2++NdyNdFEZwOH58U3A68CahTIBjCs8XhaYSxoEGlzYPpg0QDUHGFrYPinXcWCV84/O+7arsu+wvG+n0vbBwHPA+Cr9mFI699KkP4b/Xmv7ffOtEW6F9/gPSAOrKwAbkwZlArivUHZJ0uDqX4F+pXoqcbVdftwPeAGYDixbKDcQeDqXHV3Yfkre9qVSvZXt40vbl6nSlw2BN4Bza2lz3jYemFSl7sWBZ0l/CA8vbF8CuBt4B1ivVE8AR5bqOaLa7x/ffGu0W+FzdHQb+/fN+/cubR8APAw8VNg2MJc9u1S2WhxvluPplNL2GbmOXUrbf523r1bYdn3etm2p7Hl5+571fn598603b4XP+mq3h4EPVDmmWnx+vI3PtiANJP93afsfgbeAgYVtfyPNply/sG0J4L5cz5jCdgFLVWnHAbnsF+r93PrmW71vnYlv0kBwAFcDKmzfhDQR5M5S3QH8qvB4FdLf9FdUacfP8+f3OoVtk2j77/UT8r6vl7Z/I28/vt7PbavdnCLDzJrFUaSLx+PbKbMDacbfmRHxamVjvn8W6Q/UT5SOmcn76TA6ah/SDOOJ+Ws5w/J/e5cg/Sd3a6XFiIoujojZhTa9Rvqv7XpdbL9ZoziO9E+TF0lfXfs6cB3w6UKZHUgzjC8Ghpbip7KoyI7554eB4aSL0lmVCiJiLmnWQ9luwFTSzMSiU6s1NlIKD5QMzm14CXgM2LLGNrfnw6QZGBdFROXrhkSaOfVTUtqyciqcd0kzv4puyz/Xw6y57UP6fXFTKa4GkQaVRkoa3l4FbcTxZNIfpFtWOeTxiPhTaVslptbNdS0JfJL0R/IdpbI/zj8/25EOmvVBY0mfizuQPnePIv1z+U+S1iwWLMTnYpKG5Ph8EHiF6vH594i4p7TtNtI/nEfkulYkfYPo+oh4vHCuN6mSHzaS+fnYxSUNze2oxH21dpi1qo7Ed+Xz74TIo7kAEfEv0jcQtpa0Qjvn+F/SP5IvLH7257i8gXQ9/PHSMW39vf5Z0rV7+Ru+F5D+qezP6l7mFBlm1hQi4n5JVwJfknRq/hArWyv/fLjKvofyz7VL25+Kzn/NfEPS14baW7Ss8kduxdNVyrwMFPND1dJ+s0YxlvTVtf6kGcxHAauRZilUVPKiXtROPSvln5V4eKxKmWrb1iLNll7ga+sR8aKk2eXCSvnSjyfN2iin0Himxja3p5b4nhILL2xW+Uqxc8tZs9sQWJH2P0tX4v38jwvJX5X/EbA16ZtBRfOqHNLWZzG8H1Orkv5hvFCsRsQLOf+jP4utVT0RC6auGSfpDtKkiZNJqSoAkLQ96dtNW5K+DVS0bJW6OxKfldh7tErZ/1RrsKQvAN8lfbuhfwfaYdaqOhLfa5EmQDxS5fiHSJMl1qLtz/bKdXV7KbDK19Vt/b2+FjAhIt4uboyItyU9BnyonXNYD/AAs5k1k++T/ut5MrBzlf2qoc7XajhGwL9pPx90+UO1I4PYtbTfrFEUL0r/LOku4C7SbOPKH5yV9/gRwANt1DOlVLbbSVqDlPLiVdIg82OkwagAzmDBhYI60+Z2T1tDU9v7veHfF9bsREortdAilwVPtnlwypM8npRG54e5bCWOL6D6YuYdiSnHllknRMS9+R8v21e2SdqclN7uSeB7pH/czifF51V0PT6jnTLvb5A+R/oq/32knO2TSf/4Xpy0noq/0W3Wjirx3dXPyMrx+5G+eVhN+Z9Ntfy9bnXgAWYzaxoR8Yyk84DvSPpYlSJP5Z8jSYv4FH0w/6w2O6Lq6drZ9wQpz+xt5dmSXdSd7Terq4j4m6RLgf0knRkRfyPFDsC8WPTiXZVZxBtU2Vdt2yRgXUmLFeMyf512aKnsZ0mDyJ+OiNuLO/JigW8UNnWmzdD2745ifJc5vq0VPQH8N/DXqG2Rrc+TZkV+PiL+UdkoaTHSZ3R5gb+Oep6U33WhWM0pO4bgWDUr60f62nvF3qRB3J0j4r1vBUlahq7NGq58lm5YZV+1bfuSBpQ/ltPTVdrxgS60wazVFOP7KWAnUryVv1FcuZ59hrZVrqtndPC6uj1PAxtI6lecxSypH2nRX39W9zL/x87Mms2PSbMOT66y72bS7KVvSRpU2Zjvf4u0gN7NHTzP3PxzuSr7LiGtllt1BrOkjnxdvprubL9ZIzieNCPpR/nxjaScq9+TtFBsSVqq8N6fQJrZMFrSsoUyA4FDqpzrBtLCIV8sbT+8StnKLKkFZmFIOogU20WdaTOkOF1WUnmGxz9JA15flrRy4fj+vL9w3/VV2mrWV11CSjd1XLWdHfgsrRrHpFmKg6hRTkvzF2AbSduUdh+Tf/6u1vrN+hpJlTVEJhY2txWfx9CFMYiIeJH0df3P5G8xVNqwBGnh3bJ3SJ+vixXKivStSDNbhCrx/fv88+jita6kjUjrrtwVEe2lvrqGNJHjuCprFpHztQ9Y+LCqfk/6h/KBpe0H5e3+rO5lnsFsZk0lImZI+ilVFvuLiNmSjgTOAe6V9Ku8azRp8Z6vRsQrHTzVP0j5pY7Ng1vzgGci4l7SCrc7AD/N+eVuIw16r0FalOB1oNoM60X1rTvbb1Z3EfGkpKtIudO3iYg7Je1HuiB8TNJFpK/PDgU+AHyONLt4fM6fdjhwOXCfpAtJq1OPJuVkXIsFZwufTJoxdbGkLUj5GbcG/oe00Eex7J9JX7e7VNLZwKxcbhfSzIz3ro8iYl5H25wPuQfYFThb0t9If9zelnNBf5N0sfsPSWOBOcCepFmcJ0ZEZVaHWSv4NSnd1fckbUWKy5nA6sA2pJyrm7Rz/A2kwelrJJ1L+ufOR0mfv7XOXq44Itf1F0nnkL4h8QlSrP+FlG/erBV9SNI++f4A0kz/g4C3WHDQ9nekAd8/5c+7N0nXzpuQPpO74v9In7l35/icTUrFVW1s47fAHsBtki4h5WDenYVztptZB+I7Im6W/j97dx4mV1Xtffz7gzAkJCSERCBMYQYjiNLIiy+I4AUFgYuvFxEQgqIIDggXlCtXpRFBREYBJSiCBJBBcSAOBBQQ1IAdwQGZZEgCGciczgCEsN4/9i44VKq7qyvdXVWd3+d5+qHrnH32WftUb071yu51dCtpzm0gaQJpccZnSb8Dn9zZCSLieUknAT8AHst/7TiFlBDemTQ/30q673blAtJfM10p6Z3Aw6Ra68eTyt9dUN2wrac4wWxmzehi4DOk1YpvEhHflTSD9MvhWXnz34APRcTPy9t3JCKmSvoE6UFl3yN9IP0R8GBELJf0wRzDMbyx+mo6qcbbj2oaVQ/Gb9ZAziWtKv466U9U78y1Gf8H+BjpA+V8UmL3Ygp/bhcRN0l6lfSh9mxSrdVrcpvbSfUcS23nSNoLuAj4BCmhfA8p2fSXsrZPSzoQOI+0mmoF8EdgH+AK8tPqC+2rjplUw3lrUr34E0mrpvYFXoyIOyS9L4/ni6QHiT0GfCoiftCNa2rW9CIiJH2U9Jc5nyDNiwGkv1xoI/1jbmfHPyrpYNI/OH+NlMD6Ayk5fRMrP1SsO7E9WXiA4CeA9Um/AH+d9I9BPVkey6yZHMkbfyn0GukffO8CvlksVRMRf5T0YeCrpDm6jPRQr31I87RmEfHnvKryfNJ9eRHpH32+R3pGSrHtzfmvjE4FLiTdu+/Ix83FzIqqmt/A0aS/zDuO9Ll7CXAf8NWIeNMcrCQirpX0JOmvDD9NWrQxh5QU/iows5pgI2KhpP9L+h3hUODjpN8VrgLOioj2avqxnqOIzsqMmpmZmTUWSaeRflHcMyImddF2Q9KH1nERUam0hpk1OElDSasUL4uIU+odj5mZmZm9mWswm5mZWUOStLakNcu2DSb9Gd5c0uqJ4r6VarmR/goBXL/crJmNyv99sa5RmJmZmVlFLpFhZmZmjWpr4De5jvOzpLI4Y0n1l0+KiFfK2v9G0hTSn9evSaqJfjDwJ954KImZNYn8JPhjSfXVASbWMRwzMzMz64BLZJiZmVlDyuUtriA9gO8tpIf8/QO4JCJurdD+NFIyajQwEHieVKv5bNdhM2s++S8WFgDPAOdHxA/rHJKZmZmZVeAEs5mZmZmZmZmZmZnVxCUyzOpkxIgRMXr06HqHYdbvTZ48eU5EjOzt83hOm/UNz2mz/sVz2qx/8Zw261+qndNOMJvVyejRo2lra6t3GGb9Xq7J2+s8p836hue0Wf/iOW3Wv3hOm/Uv1c7pNXo7EDMzMzMzMzMzMzPrn5xgNjMzMzMzMzMzM7OaOMFsZmZmZmZmZmZmZjVxgtnMzMzMzMzMzMzMauIEs5mZmZmZmZmZmZnVxAlmMzMzMzMzMzMzM6vJgHoHYNaoJB0HfDIi9qp3LGbW+KZMmcKnP/3pN20bN25cnaIxs1X12GOPsdtuu9HS0uK5bGZmZmbWCa9gtn5D0r2S5ktap96xmJmZmZmZmZmZrQ68gtn6BUmjgb2BhcChwG31jMfMVj9Lly6lra2t3mGYWQ9ZunQpf/3rX+sdhpmZmZlZw/MKZusvjgUmAdcBY0sbJV0n6UpJv5LULulBSdsU9h8g6QlJCyV9V9J9kj5Z6QSS3i3pL7ntXyS9u7DvOEnP5HM8K+no3huqmZmZmZmZmZlZY/AKZusvjgUuBh4EJknaKCJm5X1HAh8A/gr8CDgX+KikEcBPgOOAXwKfBT4FjC/vXNJw4FfAycCPgcOBX0naFngJ+A6we0Q8IWkTYHgvjdPMGtSgQYNoaWmpdxhm1kMGDRrEjjvu6HltZmZmZtYFr2C2pidpL2BL4NaImAw8DRxVaHJ7RDwUEa8CNwK75u0HAY9GxO1533eAmR2c5oPAUxExPiJejYgfA48Dh+T9rwFvkzQwImZExKMdxHqCpDZJbbNnz16FUZuZmZmZmZmZmdWfE8zWH4wFJkbEnPz6JgplMnhz0ngpMDh/PwqYVtoREQE838E5RgFTyrZNATaNiCXAEcCJwIxcjmPHSp1ExNUR0RIRLSNHjux6ZGZmZmZmZmZmZg3MJTKsqUkaCHwEWFNSKZG8DjBM0tu7OHwGsFmhLxVfl5lOWiVdtAXwW4CIuBO4M8fzDeD7pIcOmpmZmZmZmZmZ9VtewWzN7jBgBfBWUumLXYGdgPtJdZk78ytgZ0mHSRpAqsG8cQdtfw1sL+koSQMkHZHPOUHSRpIOlbQe8DKwOMdkZmZmZmZmZmbWrznBbM1uLHBtREyNiJmlL+AKPoUo8wAAIABJREFU4Gg6WaWfS2ocDlwAzCUljNtISeLytnOBg4HTctsvAQfnPtbI26cD84B9gM/02AjNzMzMzMzMzMwalEtkWFOLiA90sP1W4NYK2++lUAYjIn4LbA8gaQ1SDebn877rgOsKbR8AdqvQ5wxSUtnMVmNbbrkl48aNq3cYZtZDdtppJ9ra2uodhpmZmZlZw/MKZlutSXq/pGGS1gHOBARMqnNYZmZmZmZmZmZmTcEJZlvd7Qk8DcwBDgEOi4hl9Q3JzMzMzMzMzMysObhEhq3WIqIVaK1zGGZmZmZmZmZmZk3JK5jNzMzMzMzMzMzMrCZOMJuZmZmZmZmZmZlZTZxgNjMzMzMzMzMzM7OaOMFsZmZmZmZmZmZmZjVxgtnMzMzMzMzMzMzMauIEs5mZmZmZmZmZmZnVZEC9A7CeI2kgcCvwHmBiRBxeoc3RwNiIOKCv46sXSVsA/wKGRsSKesdjZv1T+7N/496Pbdxlu0dmvULr/Qto3XsYu260NgDvvWFmb4dnZt1UnNOeo2ZmZmZmHfMK5iYk6V5J8yWtU7brv4CNgA0rJZcBIuLGeiWXJR0nKSR9pC/PGxFTI2Kwk8tm1gh23WhtWvceRuv9C3hk1iv1DsfMzMzMzMxslTjB3GQkjQb2BgI4tGz3lsCTEfFqB8fWe8X6WGBe/m+faIAxm5mtxElmMzMzMzMz6y+cYG4+xwKTgOsoJGolnQ18DThC0mJJx+cVw3+UdImkeUBr3vZA4bgxku6SNE/SLEln5u3vkvRnSQskzZB0haS1C8eFpBMlPZVXU18pSR0FLWlLYB/gBOD9kjYq7HuvpOclfUnSi/l8h0k6SNKTObYzC+3XkPQ/kp6WNFfSrZKG532jc2zHS5oK/L6wbUBuM1zStZKm59h/nrdvIGmCpNl5+wRJmxXOe6+kc/I1bZc0UdKIvG9dSTfkeBZI+ktxjGZm5YpJZjMzMzMzM7Nm5QRz8zkWuDF/vZ6ojYizgPOAW3I5iGty+z2AZ4C3AOcWO5I0BLgb+C0wCtgW+F3evQI4FRgB7Am8D/hMWSwHA7sDbwc+Ary/i7jbIuKnwGPA0WX7NwbWBTYlJcq/D3wM2I20YvtrkrbObU8GDiMlrEcB84Ery/rbB9ipg5jGA4OAMaTrcknevgZwLWkl+BbAMuCKsmOPAj6ej1sbOD1vHwsMBTYHNgROzMebmXWolGQ2MzMzMzMza1ZOMDcRSXuRkp+3RsRk4GlSwrMz0yPi8oh4NSLKE54HAzMj4qKIeCki2iPiQYCImBwRk/JxzwHjSEnbovMjYkFETAXuAXbtJI5jgZvy9zexcpmM5cC5EbEcuJmU2L4sx/Qo8CiwS277aeB/I+L5iHgZaAX+q6wcRmtELCkfs6RNgAOBEyNifkQsj4j78pjnRsRPI2JpRLSTEvLlY742Ip7M/d5aGPNyUmJ524hYka/fovKLIOkESW2S2mbPnt3J5TKz1UXpQX9mZmZmZmZmzcgJ5uYyFpgYEXPy60qJ2nLTOtm3OSlJvRJJ2+cSETMlLSKtjh5R1qz4SPWlwOAO+vq/wFakxHEp7p0lFRPScwsP4SslhWcV9i8r9L8l8LNcimIBaUX0CtIDDks6GvfmwLyImF8hzkGSxkmaksf8B2CYpDULzToa83jgTuDmXHrjAklrlZ8jIq6OiJaIaBk5cmQHIZqZmZmZmZmZmTUHJ5ibhKSBpDIU++Sk70xSCYu3S3p7J4dGJ/umAdt0sO97wOPAdhGxPnAm0GGN5S6Mzcc+kuN+MG8/tsb+pgEHRsSwwte6EfFCoU1H454GDJdU6W/STwN2APbIY35P3t7luPNK6LMj4q3Au0mrw2sdn5mZmZmZmZmZWVNwgrl5HEZapftWUlmGXUk1hu+n9kTmBGBjSadIWkfSEEl75H1DgEXAYkk7AifVcgJJ65IS4ycU4t4V+DxwdFlZi2pdBZybHxyIpJGS/rOaAyNiBvAb4Lv5oX5rSSolkoeQVkovyA8NPKvagCTtK2nnvNp5EalkxoouDjMzMzMzMzMzM2tqTjA3j7Gk+r9TI2Jm6Yv0ELqaErW5zvD+wCGk0g9PAfvm3aeT6ju3kx64d0uNcR9GStpeXxb3NcCawAdq6PMy4JfAREntwCTSwwyrdQwpAfw48CJwSt5+KTAQmJP7/G03+twY+AkpufwYcB9wQzeONzMzMzMzMzMzazqK6KyCgpn1lpaWlmhra6t3GGb9nqTJEdHS2+fxnDbrG57TZv2L57RZ/+I5bda/VDunvYLZzMzMzMzMzMzMzGriBLOZmZmZmZmZmZmZ1cQJZjMzMzMzMzMzMzOriRPMZmZmZmZmZmZmZlYTJ5jNzMzMzMzMzMzMrCZOMJuZmZmZmZmZmZlZTZxgNjMzMzMzMzMzM7OaOMFsZmZmZmZmZmZmZjVxgtnMzMzMzMzMzMzMajKg3gGYdUbS0cDYiDigjjE8Cnw2Iu7tyX5XTJ7OwjVbq2p7fzzHwa9d15OnN7Me1tGcvj+e47i4jet0OHtrdMVjq2kDMHTFyv2bWe9YMXk6E9Y4bpXnr+etWWOodJ8un7+er2bNY+Hk5xih9Tx/zRqEVzDbm0gKSduWbWuVdEMH7YdJ+qGkmZLaJT0p6Ywqz3WcpAcqbH9O0n8ARMSN9Uwu5xjG9HRyubs6SziZWWPbW6O5TodzXNzG/fHcSvurTS6bWd/z/DXrvzx/zZrbs8z3/DVrIE4w26q6BBgM7AQMBQ4Fnq5rRGZmDaajJJV/uTVrfJ6/Zv3DYl55/XvPX7PmtxUbeP6aNRAnmG1V7Q7cFBHzI+K1iHg8In7SU50XVzkruUTSi5IWSvq7pLflfddJukrSXXkl9X2Stiz0c5mkaZIWSZosae/CvlZJt0q6Ph/7qKSWwv7XV1RLWlPSmZKezm0nS9q8s9jMzGDlJJV/uTVrHp6/Zs3vWeZ7/pr1I4NZu94hmFmBazDbqpoEnCtpA+CBiHiqF891APAeYHtgIbAjsKCw/2jgg8CDwAXAjcBeed9fgK/n474A3CZpdES8lPcfCvw/4OPAN4ArgP9TIYb/Bo4EDgKeBHYBllYRm5lZSlJxOIfEjwC4Q2P9y61Zk/D8NWtuW7GB56+ZmVkv8QpmW1WfJyVyPwf8S9K/JR3YjeP/j6QFxS9giw7aLgeGkJK3iojHImJGYf+vIuIPEfEy8L/AnpI2B4iIGyJibkS8GhEXAesAOxSOfSAifh0RK4DxwNs7iOGTwFci4olI/hYRc6uIDQBJJ0hqk9Q2l6VVXiIzMzMzMzMzM7PG5ASzlVsBrFW2bS1SAnUlEbEsIs6LiN2ADYFbSauDh1d5vkkRMaz4BUzt4Fy/J60svhKYJelqSesXmkwrtF0MzANGAUg6TdJjuXzFAlK96BGFY2cWvl8KrCup0gr/zalQY7qK2Ertro6Iloho2ZBBlYZpZv1Y6c9y79BY7tDYDh8cZmaNx/PXrLk9y3zPXzMzs17iBLOVmwqMLtu2FTClqwMjYhFwHrBePqbHRcR3cjJ7DKkcxRcLuzcvfSNpMDAcmJ7rLZ8BfATYICexFwKqIYRpwDY1xGZmq7nymo8dPTjMzBqP569Z8ys9EMzz16x/KD6408zqzwlmK3cL8BVJm0laIz/c7hCg4oP7JH1V0u6S1pa0Lqm+8QLgiZ4OLJ9nD0lrAUuAl0grrksOkrSXpLWBc4AHI2IaqXTFq8BsYICkrwErrS6u0g+AcyRtlx/st4ukDauIzcxWYx09UMi/5Jo1Ps9fs/6h+EAwz1+z5ld6cKeZNQYnmK3c14E/AQ8A80kPyzs6Iv4JIGkLSYslleokB3AtMAeYDuwPfDCXqEDSo5KO7qHY1ge+n+OaAswFLizsvwk4i1QaYzfSQ/8A7gR+Q3oo3xRS8ncatbmYVAZkIrAIuAYYWEVsq8Q3TrPm1dXT6v1Lrlnj8vw16788f82a21Zs4Plr1kAUEfWOwWyVSboOeD4ivlLvWKrV0tISbW1t9Q7DrN+TNDkiWnr7PJ7TZn3Dc9qsf/GcNutfPKfN+pdq57RXMJuZmZmZmZmZmZlZTZxgNjMzMzMzMzMzM7OaDKh3AGY9ISKOq3cMZmZmZmZmZmZmqxuvYDYzMzMzMzMzMzOzmjjBbGZmZmZmZmZmZmY1cYLZzMzMzMzMzMzMzGriBLOZmZmZmZmZmZmZ1cQJZjMzMzMzMzMzMzOriRPMZmZmZmZmZmZmZlaTAfUOQNIWwL+AoRGxot7x9BVJRwNjI+KAesdSIumPwOci4uF6x9IbJC0GdomIZzrY/yjw2Yi4dxXOcTtwdUT8tqu2j09dwJ6f/0Wtp3rdny//z1Xuw8xWXU/N6Wp57pv1rr6Y057HZn2n1jnteWrWmCrNac9Xs/rpcgWzpOckvSJpRNn2RySFpNGrEkBETI2IwfVKLku6TtKrkkb15Xkj4sYGSy4fArT31+QyQP45ewZef9+/UbZ/zKokl7PzgXNXsQ8zMzMzMzMzM7OmUO0K5meBI4HLASTtDAzsraD6iqT1gA8DC4GjgW/30XkHRMSrfXGubjgRGF/vIJpdRDwkaX1JLRHR1lnbV5bMY9qDP+6Bs/pfac0aQc/N6Wp57pv1pr6Z057HZn2l9jnteWrWiCrPac9Xs3qptgbzeODYwuuxwPXFBpLWkXShpKmSZkm6StLAvO8MSZMkDcivT5L0qKR1JY3OK6FL+4ZLulbSdEnzJf08b99A0gRJs/P2CZI2K5z/XknnSPqjpHZJE8tXXVfwYWAB8PU8puJ4WiXdJumG3N8/JG0v6cuSXpQ0TdIBhfZDJV0jaYakFyR9Q9Kaed9xOa5LJM0DWvO2BwrHj5F0l6R5+fqdmbe/S9KfJS3IfV8hae3CcSHpRElP5etypSTlfdtKuk/SQklzJN1S6SLk/vYD7itsW1PSmZKezuOfLGnzvO/dkv6S+/2LpHeXvQ/fkPQnSYsl3SFpQ0k3SlqU248ui/8zOf72/B5uk8e8SNKtpfGWX7PC8dvm76/L4/9V7utBSduUt5V0AukfFL5UijHvf07Sf+Tv15D0P3n8c3Mcw/O+dfPPxdz8vvxF0kaFsO4FPljpWpuZmZmZmZmZmfUn1a5gngQcI2kn4EngCGAvoFhi4FvA1sCuwHLgJuBrwJdJK4M/CHxF0o3AecB+EfFSzoUWjQcWA2Pyf0vJyzWAa4GPAGsCPwSuAA4rHHsUcCAwDfgNcDrwP52MayzwY+Bm4CJJ74yIvxb2H0L6J7Dj8vnuBH4AbJq3jQO2ym1/BMwCtgXWAybkOMbl/Xvk87wFWIt0DQGQNAS4G7gwn3Mt4K159wrgVKAN2CyP6zPApYU4DwZ2B9YHJgN3AL8FzgEmAvsCawMtHVyH7YDXIuL5wrb/Jq1aP4j0nu8CLM1J1l8BJ+drdzjwK0nbRsTcfOxHgfcDc4A/56/PkK73D4GzgI8XzvUBYDdgc+CvpPf8aGBuPvZI0vWtxpG5v7/mY87N8bwuIq7OSfHnI+IrHfRzMulnax9gNvAd4Mrc/1hgaI73ZdLP/LLCsY+R5ken1l5vOJvvcWSVwzKzRuc5bda/eE6b9S+e02b9i+e0WWOpdgUzvLGKeX/gceCF0o68YvZTwKkRMS8i2klJ5I8CRMRr+diTgV8CF1Sq9StpE1KC+MSImB8RyyPivtzH3Ij4aUQszf2fS0r+FV0bEU9GxDLgVlLiryKlhwvuC9wUEbOA31G2ihm4PyLuzOUsbgNGAudHxHJSsni0pGF59eqBwCkRsSQiXgQu4c2JzekRcXlEvJrjKzoYmBkRF0XESxHRHhEP5nFPjohJ+bjnSAnr8nGfHxELImIqcE9h3MuBLYFRud8HqGwY0F627ZPAVyLiiUj+lhPIHwSeiojxOaYfk34eDikce21EPB0RC0kJ8acj4u7CdXxH2bm+FRGLIuJR4J/AxIh4pnB8efvO3B4RD+Vz3UgnPwNd+DTwvxHxfES8DLQC/6W00n45sCGwbUSsyO/RosKx7aRruhJJJ0hqk9S2fNmiSk3MzMzMzMzMzMyaRncTzEeRVu5eX7ZvJDAImJxLBiwgraAdWWqQk6P3AKNJK0Er2RyYFxHzy3dIGiRpnKQpkhYBfwCGlcpQZDML3y8FBudjr8qlEBaXSk8AxwCPRcQj+fWNwFGS1ir0Mavw/TJgTuFhhKUk8WBSEnctYEZh/ONIq5VLpnUw5tK4n660Q6ksxwRJM/O4zwPKS39UHDfwJUDAQ0olST7RwfnnA0OqjGkUMKVs2xTSqu6S8utW/nowb9bd9p3p6Fp015bAzwrv52Ok1eQbkebCncDNSqVcLij7uRlCKr2ykoi4OiJaIqJlrYHr1xiamZmZmZmZmZlZY6g6wRwRU0gP+zsIuL1s9xxSInBMRAzLX0Mj4vXknqSDgD1JK4U7epjeNGC4pEqrP08DdgD2iIj1gfeUuq4i9hMjYnD+Oi9vPhbYOiduZwIXkxK3B3bVXwdxvwyMKIx//YgYUwyji+O36WDf90grhLfL4z6TKsYMEBEzI+JTETGKtCL3u6V6xWWeIi1ELyaJO4ppOin5WrQFhRXtvWgJ6R8yAJC08Sr01dn7AWn8Bxbez2ERsW5EvJBX1p8dEW8llfM4mDfXKN8J+NsqxGZmZmZmZmZmZtYUurOCGeB4Uu3kJcWNuQTG94FLJL0FQNKmkt6fvx8BXEMquzAWOCQnnCnrZwapJMJ3lR7qt5akUiJ5CCmJvSDXAT6rm7G/TtKepOTpu0glFHYF3kaqG11eJqNLOe6JpDrO6+cHxG0jqbyURUcmABtLOkXpYYlDJO2R9w0BFgGLJe0InFRtXJIO1xsPQpxPSqquKG+XS37czZtLb/wAOEfSdkp2kbQh8Gtge0lHSRog6QhSvegJ1ca1Cv4GjJG0q6R1SWUrajWLVDO8I1cB50raEkDSSEn/mb/fV9LOefX8IlLJjOJ13Yf0c2xmZmZmZmZmZtavdSvBnOvqtnWw+wzg38CkXMrhbtKKY4CrgV9ExK9zHd/jgR/khGW5Y0gJu8eBF4FT8vZLgYGk1dKTSCU4ajU2x/OPvMp3ZkTMBC4DDs4J7O46lvQgvX+Rkrk/ATap5sBcU3p/Uh3jmaQVxfvm3aeTSpO0k5L4t3Qjpt2BByUtJtW+/kJEPNtB23Gka19yMamO9URSEvUaYGB+/w4mrSifSyrDcXBEzOlGXDWJiCeBr5N+tp4COqopXY1rgLfmEhg/r7D/MtI1myipnfQzV0r6b0x6fxeRSmfcB9wAIGl3YElEPLQKsZmZmZmZmZmZmTUFRXRVKcBWF5IeAD5f6QGMVh1JPwWuiYhfd9W2paUl2to6+vcaM+spkiZHREtvn8dz2qxveE6b9S+e02b9i+e0Wf9S7Zwe0BfBWHOIiL3qHUOzi4gP1zsGMzMzMzMzMzOzvtLdGsxmZmZmZmZmZmZmZoATzGZmZmZmZmZmZmZWIyeYzczMzMzMzMzMzKwmTjCbmZmZmZmZmZmZWU2cYDYzMzMzMzMzMzOzmjjBbGZmZmZmZmZmZmY1cYLZzMzMzMzMzMzMzGoyoN4BmK2+ZgNXd9mqtfWO/N9DqujzhFULycxWwcpzunvzt7b2pWPMrGdNn/5vWlsP6dX5W/yvmfW2jj97Vz9//VnbrHGkOV15/nqumvW11XoFs6QtJC2WtGa9Y+lLko6WNLHecRRJ+qOkd+Tvz5T0g3rHVAtJD0kaU+84zMzMzMzMzMzM+kJDJ5glPSfpFUkjyrY/IikkjV6V/iNiakQMjogVq9JPrSRdJ+lVSaP68rwRcWNEHNCX5+yMpEOA9oh4GCAizouIT1Z5bKukG3o1wI7PfZ2kb5RtvhD4ej3iMTMzMzMzMzMz62sNnWDOngWOLL2QtDMwsH7h9AxJ6wEfBhYCR/fheRuxLMqJwPh6nLgXrscvgX0lbdLD/ZqZmZmZmZmZmTWcZkgwjweOLbweC1xfbCBpHUkXSpoqaZakqyQNzPvOkDSplEiUdJKkRyWtK2l0Xgld2jdc0rWSpkuaL+nnefsGkiZImp23T5C0WeH890o6J5d5aJc0sXzVdQUfBhaQVruOLRtPq6TbJN2Q+/uHpO0lfVnSi5KmSTqg0H6opGskzZD0gqRvlMp+SDoux3WJpHlAa972QOH4MZLukjQvX78z8/Z3SfqzpAW57yskrV04LiSdKOmpfF2ulKS8b1tJ90laKGmOpFsqXYTc337AfWXjvyF/X3qPxub3d46k/837PgCcCRyRS538rZbrkbd/QtJjeRx3Stoyb1du+2Iey98lvU3SCaR/GPhSPvcdABHxEjAZaJgV4mZmZmZmZmZmZr2lGRLMk4D1Je2Uk4RHAOUlEb4FbA/sCmwLbAp8Le/7NvAK8BVJ2wHnAR/LicBy44FBwBjgLcAlefsawLXAlsAWwDLgirJjjwI+no9bGzi9i3GNBX4M3AzsKOmdZfsPyfFsADwM3Jnj2JSUlB5XaPsj4NU89neQkpvFEhN7AM/k2M4tnkTSEOBu4LfAqNzH7/LuFcCpwAhgT+B9wGfK4jwY2B14O/AR4P15+znAxBz/ZsDlHVyH7YDXIuL5DvaX7AXskGP4mqSdIuK3pPfzllzq5O25bbeuh6TDSInq/weMBO4nvTfkY99D+vkaRvr5mxsRVwM3AhfkcxefKPBYvh4rkXSCpDZJbbNnL+5iyGZmZmZmZmZmZo2tGRLM8MYq5v2Bx4EXSjvyitlPAadGxLyIaCclHT8KEBGv5WNPJpUvuKBU67dIqaTBgcCJETE/IpZHxH25j7kR8dOIWJr7PxfYp6yLayPiyYhYBtxKSnZXJGkLYF/gpoiYRUroji1rdn9E3BkRrwK3kRKf50fEclJSerSkYZI2ynGfEhFLIuJFUmL8o4W+pkfE5RHxao6v6GBgZkRcFBEvRUR7RDyYxz05Iibl454jJbXLx31+RCyIiKnAPYVxLycl5Eflfh+gsmFAe0fXquDsiFgWEX8D/kbHCdxarsengW9GxGP5ep8H7JpXMS8HhgA7AsptZnQRa3se10oi4uqIaImIlpEjB1cxbDMzMzMzMzMzs8bViPV4KxkP/AHYirLyGKTE6yBgcq7OACBgzdKLiHhO0j3AQcCVHZxjc2BeRMwv3yFpEClJ+QHSilyAIZLWLDwgcGbhkKXA4HzsVcDH8vbzIuI84BjgsYh4JG+/EbhI0uk5gQwwq9DfMmBO4VylJPFg0qrjtYAZhfGvAUwrHF/8vtK4n660Q9L2wMVAC+kaDyCVfyiqOG7gS6RVzA9Jmg9cFBE/rHCa+aQEblc6Ok+5Len+9dgSuEzSRYVtAjaNiN9LuoL0c7OFpJ8Bp0fEok5iHUIqf9Kp6dMX0tp6R1fNOPvsCV22KWltPaHqtmbWsyrN6e7M31rbt7Z26xAzq9KMGQu7NSdrne+ew2Z9o7PP3tXOX3/WNmscpTldaf56rpr1vaZYwRwRU0gP+zsIuL1s9xxSwnVMRAzLX0Mj4vUEpKSDSCUefkcqmVHJNGC4pEorT08jlWfYIyLWJ5VMgJSE7Cr2E3MJhcE5uQxpRfXWkmZKmklK4o4grbztrmnAy8CIwvjXj4gxxTC6OH6bDvZ9j7RifLs87jOpYswAETEzIj4VEaNIK4S/K2nbCk2fIi1E37Safiudqux1LddjGvDpQvthETEwIv6Ux/KdiNiNVDple+CLHfRTshNplbWZmZmZmZmZmVm/1iwrmAGOBzaIiCXKD+WDVAJD0veBSyR9LiJezMnKt0XEnflhe9fk4x8E/iHpFxHx62LnETFD0m9IidDPAouBPSPiD6QVqcuABZKGA2fVOghJe5ISuu8AZhd2XUQqk/HL7vSX455IWgH91Rz3VsBmpRIfXZgAXCzpFFJCeW3grblMxhBgEbBY0o7ASWUxd0jS4cCfc23l+aRk7IrydhGxXNLdpNIbN1XTd5lZwP6S1oiI12q8HlcB50h6JCIelTQUOCAibpO0O+kfYv4KLAFeKoxjFrB12bjXAXZj5ZInKxk1aiitrYd01ex13WlrZn2vsznd3fnr+W5Wf5tsMpQTTtjb89esn6jms7fnr1nzKJ/Tnr9m9dU0CeaIqFjGITuD9FC/STmh/AIpWXoncDXwekJZ0vHANZJ2rtDPMaRSGI+TEq33kEpzXEpKfs4BppOSwYfVOJSxOZ5/FDdKugy4Pyewu+tY4HzgX6Sk8DOkBx92KSLaJe0PXEZKnL9MGu+DpAcVXk0qd/EwcAuwX5Ux7Q5cmpO1s4AvRMSzHbQdB3yO2hLMt5FKkMyV9GxEvJNuXo+I+JmkwcDNue7yQuCu3Pf6pJ+JrUnJ5TuBC/Oh1wC3SVoA3BsRhwGH5u+ndx36SKDrP93xn/eYNYuV53R3529vtzez6o0atW1VpaxKPH/NGl3Hn709H82aUZrTnr9mjUERnVVPMOsbkh4APl/pAYzNRNKDwPER8c+u2ra0tERbW1sfRGW2epM0OSJaevs8ntNmfcNz2qx/8Zw26188p836l2rndNOsYLb+LSL2qncMPSEi9qh3DGZmZmZmZmZmZn2lKR7yZ2ZmZmZmZmZmZmaNxwlmMzMzMzMzMzMzM6uJE8xmZmZmZmZmZmZmVhMnmM3MzMzMzMzMzMysJk4wm5mZmZmZmZmZmVlNnGA2MzMzMzMzMzMzs5o4wWxmZmZmZmZmZmZmNRlQ7wDMVlfts6bw2n3f7PF+7334GY5ovYlbWo/ive/Yum79r7HPl3v83GYNrX3mKs/pRpm/XfH8ttVCN+d0V/PL88aszjqZ081y/+2s//1O+X6P92vW0PKcXtX55fuzWc9YbVcwS9pC0mJJa9Y7lr4k6WhJE+sdR5GkP0p6R51j2FvSE1W0a5V0Qyf7H5I0pppzPjNjHvc+/Ex3wqzKe9+xNbe0HsURrTc1Zf/ZDWCFAAAdNElEQVRmqzPPX7Pm5fll1rya/f7bG0lrs2bh+69ZY2jYBLOk5yS9ImlE2fZHJIWk0avSf0RMjYjBEbFiVfqplaTrJL0qaVRfnjciboyIA/rynJ2RdAjQHhEP59fDJP1Q0kxJ7ZKelHRGb8cREfdHxA490NWFwNerabj1JsOb+kOsb+JmvcPz16x5eX6ZNS/ff82al+eXWf01bII5exY4svRC0s7AwPqF0zMkrQd8GFgIHN2H523EkignAuMLry8BBgM7AUOBQ4Gn6xBXrX4J7Ctpk64aDhm0TlN/iPVN3Kz3eP6aNS/PL7Pm5fuvWfPy/DKrr0ZPMI8Hji28HgtcX2wgaR1JF0qaKmmWpKskDcz7zpA0qZRYlXSSpEclrStpdF4JXdo3XNK1kqZLmi/p53n7BpImSJqdt0+QtFnh/PdKOieXeWiXNLF81XUFHwYWkFa6ji0bT6uk2yTdkPv7h6TtJX1Z0ouSpkk6oNB+qKRrJM2Q9IKkb5TKfkg6Lsd1iaR5QGve9kDh+DGS7pI0L1+/M/P2d0n6s6QFue8rJK1dOC4knSjpqXxdrpSkvG9bSfdJWihpjqRbKl2E3N9+wH2FzbsDN0XE/Ih4LSIej4iflJ33ZEnP5L6/LWmNvG8bSb+XNDfvu1HSsMKxz0k6XdLfc2y3SFo373uvpOcLbc/I17Nd0hOS3leIcW1J1+d9j0pqKe2IiJeAyUBVq8Sb/UOsb+Jmvcfz16x5eX6ZNS/ff82al+eXWf00eoJ5ErC+pJ1y0vQIoLz+7beA7YFdgW2BTYGv5X3fBl4BviJpO+A84GM5CVhuPDAIGAO8hbSSFtI1uhbYEtgCWAZcUXbsUcDH83FrA6d3Ma6xwI+Bm4EdJb2zbP8hOZ4NgIeBO3Mcm5KS0uMKbX8EvJrH/g5SYvOThf17AM/k2M4tnkTSEOBu4LfAqNzH7/LuFcCpwAhgT+B9wGfK4jyYlBB+O/AR4P15+znAxBz/ZsDlHVyH7YDXIuL5wrZJwLmSPp7fs0o+BLQA7wT+E/hEaUjAN/NYdgI2B1rLjv0I8AFgK2AX4LjyziXtAHwO2D0ihuRxPVdocijpvRtGWrFc/vPwGOmarETSCZLaJLXNXrgEaP4Psb6JmyXtS1/u8T49f82al+eXWfPy/deseXl+mdVHoyeY4Y1VzPsDjwMvlHbkFbOfAk6NiHkR0U5KIn8UICJey8eeTEoEXlCq9VuUyxkcCJyYV84uj4j7ch9zI+KnEbE0938usE9ZF9dGxJMRsQy4lZTsrkjSFsC+pFW6s0gJ3bFlze6PiDsj4lXgNmAkcH5ELCclNkcr1SreKMd9SkQsiYgXSYnxjxb6mh4Rl0fEqzm+ooOBmRFxUUS8FBHtEfFgHvfkiJiUj3uOlNQuH/f5EbEgIqYC9xTGvZyUkB+V+32AyoYB7WXbPg/cSErw/kvSvyUdWNbmW/n9ngpcSi6jEhH/joi7IuLliJgNXFwh5u9ExPSImAfcQeX3agWwDvBWSWtFxHMRUSzT8UBE/DrX7x7Pysnk9jy2lUTE1RHREhEtI4eu9/r2Zv8Q65u4mR/caWYrK84vM2suvv+aNS/PL7O+1ywJ5qNIK02vL9s3krTqeHIu5bCAtBp3ZKlBTo7eA4wGruzgHJsD8yJifvkOSYMkjZM0RdIi4A/AsFIZimxm4fulpBrCKJXrWJy/zsz7jwEei4hH8usbgaMkrVXoY1bh+2XAnMLDCEtJ4sGkJO5awIzC+MeRViuXTOtgzKVxV6xvnMtyTFB62N4iUuK+vPRHxXEDXyKtJn4ol5D4BJXNB4YUN0TEsog4LyJ2AzYkJexvkzS8gzFNIa1YRtJbJN2cS1ssIq12rzbmYgz/Bk4hrX5+MfdZfBhjeR/r6s31rYeQSqB0S7N/iPVN3FZ3fnCnmVVSml9m1nx8/zVrXp5fZn2r4RPMETGF9LC/g4Dby3bPISVcx0TEsPw1NCJeTxpKOohU4uF3pJIZlUwDhhfr9RacBuwA7BER6wPvKXVdRewnRsTg/HVe3nwssHVO3M4krbIdQVqJ3F3TgJeBEYXxrx8RY4phdHH8Nh3s+x5pxfh2edxnUsWYASJiZkR8KiJGAZ8Gvitp2wpNnyItRN+0g35Kie31SCUtSjYvfL8FMD1//03SeHfJMX+s2pgrnPumiNiLlMQPUimWau0E/K2W8zb7h1iv1LLVmR/caWYdee87tq53CGZWI99/zZqX55dZ32n4BHN2PLBfRCwpbswlML4PXCLpLQCSNpX0/vz9COAaUk3iscAhOeFMWT8zgN+QEqEbSFpLUimRPISUxF6QV9GeVesgJO1JSui+i1SaYVfgbcBNrFwmo0s57onARZLWl7RGftBdeVmIjkwANpZ0itLDEodI2iPvGwIsAhZL2hE4qdq4JB2uNx6EOJ+UoF1R3i6X/LibQhkLSV+VtLuktfMD+L5AWg38ROHQL+b3afO8v/QQwSHAYtJ7tSnwxWpjLot/B0n7SVoHeIn0/q8UfwfHrgPsBtxVy7mh+T/EeqWWrc76y/z1h3AzM7M3+P5r1rw8v8z6xoCum9RfWf3bcmeQHuo3KSeUXyCtvr0TuBr4RUT8GkDS8cA1knau0M8xpPrFj5Me1HcPqRzGpaQE8BzSStmLgMNqHMrYHM8/ihslXQbcX1YGolrHAucD/yIlWJ+hytW2EdEuaX/gMlLi/GXSeB8kPajwalK5i4dJSdz9qoxpd+BSSUNJ5T6+EBHPdtB2HKnecmnJa5AeqrgF6eGFfwc+GBGLC8f8ApgMDAWuI/0jAsDZpDIqC4F/k8qrnFplzEXrkK7pTqR60n8CTqjy2EOBeyNiepcth2zMGvt8ueKu/faB2ad8v8pTdl9f9G+22slzuj/M397s36xpdHKfNrMmtIpz2vdfswbTjTnt+WXW+xTRWQUFs94n6QHg85UewFihbZDKdvy79yPrPkkPAsdHxD+7atvS0hJtbW19EJXZ6k3S5Iho6e3zeE6b9Q3PabP+xXParH/xnDbrX6qd002xgtn6t1zruF+IiD26bmVmZmZmZmZmZtY/NEsNZjMzMzMzMzMzMzNrMF7BbE0lIlTvGMzMzMzMzMzMzCzxCmYzMzMzMzMzMzMzq4kTzGZmZmZmZmZmZmZWEyeYzczMzMzMzMzMzKwmTjCbmZmZmZmZmZmZWU2cYDYzMzMzMzMzMzOzmgyodwBmq6v2Bcu452ePduuYR/75EGdfeBpnnX4Ru77tXR1uK9r3Q2N6JF4z61xXc7qW+dsd5X157putmuKcXtX56/loVn+zZszpdE7XyvPbrD6Kc7ornqdmvc8rmPspSVtIWixpzT48596Snuijcx0taWJfnKtRdPRBeNe3vYuzTr+Isy88jUf++VAdIzSzjvT2/O3JX5TN7M18/zXrHwYNXO/173vy/mtm9TFj5vOeg2YNxAnmOpH0nKRXJI0o2/6IpJA0elX6j4ipETE4IlasSj/dPOf9EbFDH53rxog4oC/OVU7SeyU935fn7Cp55F9yzRpXb89fJ5fNeo/vv2b9V0/df82sPjbZeDPff80aiBPM9fUscGTphaSdgYH1C2f1IKmpSsNUmzzyL7lmjae356+Ty2a9Z+myJb7/mvVzPXH/NbP6GDRwPd9/zRqIE8z1NR44tvB6LHB9sYGkdSRdKGmqpFmSrpI0MO87Q9KkUsJU0kmSHpW0rqTReSV0ad9wSddKmi5pvqSf5+0bSJogaXbePkHSZoXz3yvpHEl/lNQuaWL5qutC2zet7M2rtL8o6e+Slki6RtJGkn6T+7pb0ga5bSnej0ualmM5UdLu+fgFkq4o9H2cpAcKrw+Q9ISkhZK+K+k+SZ8stP2jpEskzQNaJW0j6feS5kqaI+lGScPKYj89n3uhpFvydV0P+A0wKpcgWSxplKR3SWqTtCi/Txd39eYvXbakqybdTh75l1yzxtHb89fJZbPeNWPm877/mq0GfP81a16+/5o1DieY62sSsL6knXKt5COAG8rafAvYHtgV2BbYFPha3vdt4BXgK5K2A84DPhYRL1U413hgEDAGeAtwSd6+BnAtsCWwBbAMuKLs2KOAj+fj1gZO78YYPwzsn8dwCCk5eyYwIp/75LL2ewDbka7FpcD/Av+R4/6IpH3KT5AT3j8BvgxsCDwBvLtCv8/kMZwLCPgmMArYCdgcaC075iPAB4CtgF2A4yJiCXAgMD2XIBkcEdOBy4DLImJ9YBvg1koXQ9IJORHd9sKMaZ3eBGv98OqbrFn99fb89S+3Zr1vk4038/3XbDXh+69Z8/L916wxOMFcf6VVzPsDjwMvlHZIEvAp4NSImBcR7aQk8kcBIuK1fOzJwC+BCyLi4fITSNqElBQ9MSLmR8TyiLgv9zE3In4aEUtz/+cC5UncayPiyYhYRkqc7tqN8V0eEbMi4gXgfuDBiHg4Il4Gfga8o6z9ORHxUkRMBJYAP46IFwvHl7cHOAh4NCJuj4hXge8AM8vaTI+IyyPi1YhYFhH/joi7IuLliJgNXFxh3N+JiOkRMQ+4o4txLwe2lTQiIhZHxKRKjSLi6ohoiYiWTTfZvMOb4Kp+eC3eZM2sb/Xk/O2N/z+YWXWKDwSrln/JNWtevv+aNS/ff83qzwnm+htPWiF8HGXlMYCRpFXHk3OJiAXAb/N2ACLiOeAeYDRwZQfn2ByYFxHzy3dIGiRpnKQpkhYBfwCG5RXVJcVk7VJgcNWjg1mF75dVeF3eV3fbQ1qFPK30IiICKH8I37TiC0lvkXSzpBfyuG8graou6s64jyet0n5c0l8kHdxJW6DjmlE99eG1dJM1s77T0/O3t/7/YGa9x7/kmjUv33/Nmldn89fMep8TzHUWEVNID/s7CLi9bPccUlJ1TEQMy19DI+L1RKekg4A9gd+RSmZUMg0YXqwxXHAasAOwRy7v8J5S17WOqQ5mAMW60Sq+zqLs9Tfztl3yuD9G9WMu74uIeCoijiSV4PgW8JNcr7lT5TfBnv7w6g/AZn2n2geCVau3//9gZr3HSWaz5uX7r1nz6mj+mlnvG1DvAAxIq183iIglpYfyQSqBIen7wCWSPhcRL0raFHhbRNyZaw9fk49/EPiHpF9ExK+LnUfEDEm/Ab4r6bPAYmDPiPgDMISUxF4gaThwVl8MuIf9CrhC0mHABOBEYOMujhkCLCSNe1Pgi9043yxgQ0lDI2IhgKSPAXdGxOy80hxgRTWdlW6C//21TwBw8dd/6A+vZk3o+elTenz++v8PZs2rOH9P/erH6x2OmXWD779mzavS/DWz3ucEcwOIiKc72X0G6aF+k3JC+QXge8CdwNXA6wllSccD10jauUI/x5Ae7Pc46UF995DKYVwK3ERaLT0duAg4rAeG1WciYo6kw0m1l38E3Ai0AS93ctjZpJIkC4F/k0qVnFrl+R6X9GPgmVxK5K2khwFeLGkQMAX4aAcPW3zdkGED2fdDYwDY90Nj/MunWZPbbbfdemUe+/8PZvVRvE/XyvPXrHF0d057/po1ts7mtOevWd9TKldr1n9IWoNUg/noiLin3vF0pKWlJdra2uodhlm/J2lyRLT09nk8p836hue0Wf/iOW3Wv3hOm/Uv1c5p12C2fkHS+yUNk7QOcCapnvKkOodlZmZmZmZmZmbWrznBbP3FnsDTpFIfhwCHRcSy+oZkZmZmZmZmZmbWv7kGs/ULEdEKtNY5DDMzMzMzMzMzs9WKVzCbmZmZmZmZmZmZWU2cYDYzMzMzMzMzMzOzmjjBbGZmZmZmZmZmZmY1cYLZzMzMzMzMzMzMzGriBLOZmZmZmZmZmZmZ1WRAvQMwW11NXzKd1oda6x1GVVrf1VrvEMwaXjPN6Y54rpu9odo57Xlj1hz6w326M/5/ka1u+mpOe26ZVccrmFczkraQtFjSmvWOBUDSo5LeW+84KpG0t6Qn6h2HmZmZmZmZmZlZo3KCucFIek7SK5JGlG1/RFJIGr0q/UfE1IgYHBErVqWfnhIRYyLi3lqOzddjlqQBhW0DJL0oKXogtvsjYodV7cfMzMzMzMzMzKy/coK5MT0LHFl6IWlnYGD9wmloC4ADC68PAubXKRYzMzMzMzMzM7PVihPMjWk8cGzh9Vjg+mIDSetIulDS1LyK9ypJA/O+MyRNKq3slXRSLkWxrqTReeVvad9wSddKmi5pvqSf5+0bSJogaXbePkHSZoXz3yvpHEl/lNQuaWJp1XU+zw2S5kpaIOkvkjaqNNC8Yvs/8vetkm6VdH3u81FJLd28VsdWuFZDJV0jaYakFyR9o1QiRNL3JP2k0PZbkn6n5L2Sni/s21zS7fmazJX+f3v3HitHWcZx/PvQahuwtFyV0pZLEANFFK0lGCGgEQEVSPhDo8glSGMEEhKQykUBI0gxWGNQEYIESrRFUVEDYiRQhAhNyx1DSanUQuulELRQ7j7+MXPa7fac9nR3z87ume8nmXTPvO/Mvs/O+fUk707eiavL/dtExEURsaK8e/qmiJi4hXFLkiRJkiRJfc8J5t70ALB9ROxXToR+Dri5qc8cYF/gg8A+wO7AN8u27wJvABdFxHuBy4ETM/O1Qd5rHrAtMB3YFZhb7t8GuAHYA5gGvApc3XTsF4BTy+PeCZxb7j8ZmAhMBXYCvlIePxzHAvOBScBvB3nPZr8BDouISRExCTgUuK2pz43AWxSf00HAkcCXy7ZzgAMj4pSIOBQ4DTg5MzdaYqO8Dr8HVgB7Unze88vmU8rtCGBv4F1DjTsiZkXE4ohYvO6ldVsoTZIkSZIkSeptY7fcRRUZuDN3IfAU8PxAQ0QEcDpwYGa+WO67HPgZcH5m/i8iTgIeopicvjIzH25+g4jYjWJ5iZ0yc2BZiYUAmfkCcGtD38uAu5tOcUNmPl2230IxOQzwJsXE8j6Z+RiwZCvqvi8zby/POQ84ewv9XwN+R1FnUExKr59IL++cPhqYlJmvAq9ExFxgFvCTzFwXEScCfwDWAmdl5nNsaiYwGfhaZr41MNby3y8C38vM5eV7ng88ERGnNvQFIDOvBa4FmLzf5LbXiZYkSZIkSZKq5ARz75oH3AvsRdOSD8AuFHcdLynmmoFicnXMwA+Z+WxE3E2xJvEPh3iPqcCLDZPL60XEthR3Mx8F7FDunhARYxoeEPiPhkPWUdy5OzD2qcD88q7im4ELM/PNzVY8+DnHR8TY5onaJjcB36H4DGY3te0BvANY3fBZbQOsHPghMxdFxHKKO7FvGeI9pgIrhhjHZIo7mwesoMjWu2n4YqDZ2jVruee6e4Zq7i0zqx6A1Pv6KtNDMevSesPOtLmR+sKo+Du9Of5fpJrpWqbNljQsLpHRozJzBcXD/o4BftXUvIZiyYnpmTmp3CZm5sAELxFxDHAIcBfFkhmDWQnsWE4CNzsHeB9wcGZuDxw2cOphjP3NzLw0M/cHPgp8ho3XSe60PwO7UUzo3tfUthJ4Hdi54bPaPjOnD3SIiDOAccAq4Lwh3mMlMG1g7eomqygmsgdMo1iS45+tFCNJkiRJkiT1C+9g7m2nATtk5iuNE5vlEhjXAXMj4szM/FdE7A4ckJl3lg/bu748/kHg8Yi4bWDpiYbzrI6IO4AflZOsLwOHZOa9wASKSeyXImJH4OLhDjoijqCYBP8r8F+KJTPe3uxBbcjMjIjPNrxubFsdEX8EroqIb1DUuBcwJTMXRsS+wLeBwynumF4UEXdk5iNNb7MIWA1cEREXl/V8ODPvB34OzC4/y39TrHm9YAt3XTNh5wkcfvrhbVYvqVeYaWl0MdPS6GKmpdHFTEu9xQnmHpaZz2ymeTbFQ/0eKCeUnwd+DNxJscbv+gnliDgNuD4i3j/Ieb5EsRTGUxQP6rubYmmO71Os6byG4g7dq4Djhzn09wDXAFMoJnQXsOlDCjsqM5/cTPNJwBUUE94TgOXAnHLS/mZgTmY+ChARFwDzImJG0/nfLiexfwD8HUiKz+d+4KcUy2TcC4ynuAZnbWnMk7ebzCUzL9mKKiX1MjMtjS5mWhpdzLQ0uphpqbdEps8Zk6owY8aMXLx4cdXDkEa9iFiSmTO23LM9ZlrqDjMtjS5mWhpdzLQ0ugw3067BLEmSJEmSJElqiRPMkiRJkiRJkqSWOMEsSZIkSZIkSWqJE8ySJEmSJEmSpJY4wSxJkiRJkiRJaokTzJIkSZIkSZKklkRmVj0GqZYiYi2wtOpxVGBnYE3Vg6hIXWuvuu49MnOXkX4TM11Lda296rrN9Miq+vpWqa61V123mR5ZVV/fKtW19qrrHvFMR8Qs4DJgxUi+T4+q+vpWqa61V133sDI9thsjkTSopZk5o+pBdFtELK5j3VDf2mtUt5mumbrWXqO6zXTN1LX2GtVtpmumrrXXpO5Z3fhiqhfV5PoOqq6190vdLpEhSZIkSZIkSWqJE8ySJEmSJEmSpJY4wSxV59qqB1CRutYN9a29LnXXpc5mda0b6lt7XequS53N6lo31Lf2utRdlzqb1bVuqG/tdai7DjUOxdrrpy/q9iF/kiRJkiRJkqSWeAezJEmSJEmSJKklTjBLkiRJkiRJklriBLPUYRFxVEQsjYhlEfH1QdrHRcSCsv3BiNizoe38cv/SiPhUN8fdCa3WHhGfjIglEfF4+e/Huz32drVz3cv2aRHxckSc260xd0Kbv+8HRsRfIuLJ8tqP7+bYh8tM1y/Tdc0zmOmy3Uyb6T2b2s20me5JZtpMD9Jups20me4joyrTmenm5tahDRgDPAPsDbwTeBTYv6nPV4FrytefBxaUr/cv+48D9irPM6bqmrpU+0HA5PL1AcDzVdfTrdob2m8FfgGcW3U9XbrmY4HHgA+UP+/Ui7/vZrp+ma5rnjtwzc10j29m2kybaTNtpte3m2kz3XObmTbT/Z5p72CWOmsmsCwzl2fmG8B84LimPscBN5avfwl8IiKi3D8/M1/PzL8By8rz9YuWa8/MhzNzVbn/SWB8RIzryqg7o53rTkQcDyynqL2ftFP3kcBjmfkoQGa+kJlvd2ncW8NM1y/Tdc0zmOkBZrpgpjHTZrqnmWkzbabNtJk20z2TaSeYpc7aHVjZ8PNz5b5B+2TmW8B/KL5tGs6xvayd2hudADycma+P0DhHQsu1R8R2wGzg0i6Ms9Paueb7AhkRd0bEQxFxXhfG2wozvUFdMl3XPIOZ3qSPmTbTmGkz3bvMdMFMD9HHTJvpERpnp5npDfo602OrHoA0ysQg+3KYfYZzbC9rp/aiMWI6MIfi27h+0k7tlwJzM/Pl8kvYftJO3WOBjwEfAdYBd0XEksy8q7NDbJuZ3lgdMl3XPIOZ3lIfM22m+42Z3nwfM22m+42Z3nwfM22m+82oyrR3MEud9RwwteHnKcCqofpExFhgIvDiMI/tZe3UTkRMAX4NnJSZz4z4aDurndoPBq6MiGeBs4ELIuLMkR5wh7T7+74wM9dk5jrgduBDIz7irWemN6hLpuuaZzDTm/Qx02YaM22me5eZLpjpIfqYaTPdJ8z0Bv2d6axwAWg3t9G2UXyLtJzioQIDi7RPb+pzBhsv0n5L+Xo6Gz+UYDn99VCCdmqfVPY/oeo6ul17U59L6KMHE7R5zXcAHgK2Lc/zJ+DTVdfU4RrNdB9muq557sA1N9M9vplpM22mzbSZ3qiPmTbTPbWZaTPd75mu/AN1cxttG3AM8DTF00AvLPd9Czi2fD2e4gmny4BFwN4Nx15YHrcUOLrqWrpVO3AR8ArwSMO2a9X1dOu6N5yjH/8otvP7fiLFwxieAK6supYRqtFM92Gm65rndms3072/mWkzvTW1m+ne38y0md6a2s10729m2kxvTe29lukoByVJkiRJkiRJ0lZxDWZJkiRJkiRJUkucYJYkSZIkSZIktcQJZkmSJEmSJElSS5xgliRJkiRJkiS1xAlmSZIkSZIkSVJLnGCWJEmSJEmSJLXECWZJkiRJkiRJUkv+D1rcsYm2wsAoAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xee5d278>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from __future__ import division\n",
+    "import re\n",
+    "from math import ceil, floor\n",
+    "from itertools import cycle\n",
+    "# remove uninformative interests\n",
+    "invalid_interests = ['Music', 'Arts and music', 'Single (music)', 'Beat (music)']\n",
+    "test_interests = ['Rock music', 'Bluegrass music', 'Heavy metal music', 'Country music', 'Classical music',\n",
+    "                'Hip hop music', 'Rapping', 'Gospel music', 'Rhythm and blues music', 'Jazz music', \n",
+    "                  'Norteno (music)', 'Reggaeton', 'Tejano music', 'Banda (music)', 'Bolero']\n",
+    "tilde_names = {'Norteno' : 'Norteño'}\n",
+    "expat_pct_list_tmp = [d.copy().drop(invalid_interests, inplace=False) for d in expat_pct_list]\n",
+    "expat_pct_list_tmp = [d / d.sum() for d in expat_pct_list_tmp]\n",
+    "d_pct_tmp = [d.copy().drop(invalid_interests, inplace=False) for d in dest_pct_list]\n",
+    "d_pct_tmp = [d / d.sum() for d in d_pct_tmp]\n",
+    "cols = 5\n",
+    "rows = int(ceil(len(test_interests) / cols))\n",
+    "width = 4*cols\n",
+    "height = 3*rows\n",
+    "bar_width = 0.5\n",
+    "tick_size = 12\n",
+    "subtitle_size = 18\n",
+    "title_size = 24\n",
+    "combined_names_d = expat_names + dest_names\n",
+    "f, axs = plt.subplots(nrows=rows, ncols=cols, figsize=(width, height))\n",
+    "X = np.arange(len(expat_data_list)+len(d_pct_tmp))+1\n",
+    "x_min = min(min([d.loc[test_interests].min() for d in d_pct_tmp]), min([e_pct.loc[test_interests].min() for e_pct in expat_pct_list_tmp]))\n",
+    "# include slightly more than max for viewing purposes\n",
+    "max_ratio = 1.05\n",
+    "x_max = max(max([d.loc[test_interests].max() for d in d_pct_tmp]), max([e_pct.loc[test_interests].max() for e_pct in expat_pct_list_tmp]))\n",
+    "x_max = max_ratio*x_max\n",
+    "interest_matcher = re.compile('music|\\(music\\)')\n",
+    "cmap = plt.get_cmap('Accent')\n",
+    "for i in range(len(test_interests)):\n",
+    "    r = int(floor(i / cols))\n",
+    "    c = i % cols\n",
+    "    ax = axs[r, c]\n",
+    "    interest_i = test_interests[i]\n",
+    "    interest_i_title = interest_matcher.sub('', interest_i)\n",
+    "    if(interest_i_title in tilde_names):\n",
+    "        interest_i_title = tilde_names[interest_i_title]\n",
+    "    d_pct_i = [d.loc[interest_i] for d in d_pct_tmp]\n",
+    "    # collect all expat interest percents\n",
+    "    expat_data_list_i = [e_pct.loc[interest_i] for e_pct in expat_pct_list_tmp]\n",
+    "    pct_i = expat_data_list_i + d_pct_i\n",
+    "#         print('debugging: dest %s interest %s has percents: %s'%(d_name, interest_i, pct_i))\n",
+    "    linestyles = cycle(['-', 'x', '\\\\', '+'])\n",
+    "    for j, (x, pct_j) in enumerate(izip(X, pct_i)):\n",
+    "        color_j = cmap(j / len(pct_i))\n",
+    "        style_j = next(linestyles)\n",
+    "        ax.barh(x, pct_j, color=color_j, hatch=style_j, height=bar_width)\n",
+    "    if(c == 0):\n",
+    "        ax.set_yticks(X)\n",
+    "        ax.set_yticklabels(combined_names_d, fontsize=tick_size)\n",
+    "    else:\n",
+    "        ax.tick_params(axis='y', left=False, labelleft=False)\n",
+    "    ax.set_title(interest_i_title, fontsize=subtitle_size)\n",
+    "#         ax.set_yscale('log')\n",
+    "    # set plot limits\n",
+    "    ax.set_xlim(x_min, x_max)\n",
+    "#     ax.set_xscale('log')\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Robustness check\n",
+    "Do the overall results of the assimilation comparisons change if we reduce the minimum count from 1000 to 1 or 0? Note: we would remove all undefined $\\frac{0}{0}$ ratios."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n",
+      "testing ethnic group Anglo\n",
+      "testing ethnic group African American\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11e37400>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n",
+      "testing ethnic group Anglo\n",
+      "testing ethnic group African American\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x127a5048>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n",
+      "testing ethnic group Anglo\n",
+      "testing ethnic group African American\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0xfac5d30>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n",
+      "testing ethnic group Anglo\n",
+      "testing ethnic group African American\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x12e63748>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# reload everything to be safe\n",
+    "white_data = pd.read_csv('../../data/query_results/US_white_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "black_data = pd.read_csv('../../data/query_results/US_African_American_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "hispanic_data = pd.read_csv('../../data/query_results/US_Hispanic_music.tsv',\n",
+    "                            sep='\\t', index_col=False)\n",
+    "expat_data = pd.read_csv('../../data/query_results/Hispanic_MX_music.tsv',\n",
+    "                         sep='\\t', index_col=False)\n",
+    "mx_interest_data = pd.read_csv('../../data/query_results/US_hispanic_non_expats_mexican_aligned_music_interests.tsv',\n",
+    "                              sep='\\t', index_col=False)\n",
+    "spanish_data = pd.read_csv('../../data/query_results/Hispanic_Spanish_non_expat_music_interests.tsv',\n",
+    "                           sep='\\t', index_col=False)\n",
+    "mx_communities_data = pd.read_csv('../../data/query_results/hispanic_non_expat_MX_community_music_interests.tsv',\n",
+    "                                  sep='\\t', index_col=False)\n",
+    "mx_data = pd.read_csv('../../data/query_results/all_MX_music.tsv',\n",
+    "                          sep='\\t', index_col=False)\n",
+    "min_counts = [1000, 1, 1e-4, 0]\n",
+    "expat_names = ['Mexicans in Mexico', 'Mexican immigrants (Gen. 1)', \n",
+    "               'Mexican immigrants (Gen. 2, interest)', \n",
+    "               'Mexican immigrants (Gen. 2, Spanish)', \n",
+    "               'Mexican immigrants (Gen. 2, communities)',\n",
+    "               'Mexican immigrants (Gen. 2, Hispanic)']\n",
+    "expat_data_list = [mx_data, expat_data, \n",
+    "                   mx_interest_data, \n",
+    "                   spanish_data, \n",
+    "                   mx_communities_data, \n",
+    "                   hispanic_data]\n",
+    "dest_data_list = [white_data, black_data]\n",
+    "dest_names = ['Anglo', 'African American']\n",
+    "count_var = 'mau_audience'\n",
+    "for min_count in min_counts:\n",
+    "    ## fix expat data first\n",
+    "    expat_pct_list = [norm_to_pct(d, count_var=count_var, replace_min=True, min_count=min_count) for d in expat_data_list]\n",
+    "    # get source percent for assimilation\n",
+    "    source_pct = expat_pct_list[0]\n",
+    "    shared_interests = expat_pct_list[0].index.tolist()\n",
+    "    dest_pct_list = [norm_to_pct(d, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=min_count) for d in dest_data_list]\n",
+    "    # plot again\n",
+    "    Y = pd.np.arange(len(expat_data_list))+1\n",
+    "    # keep track of x-min and max to align the axes later\n",
+    "    x_min = np.inf\n",
+    "    x_max = -np.inf\n",
+    "    cols = len(dest_data_list)\n",
+    "    rows = 1\n",
+    "    f, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(6*cols, 4*rows))\n",
+    "    default_assim_val = 0.\n",
+    "    top_dest_pct = 50\n",
+    "    dest_assim_scores_combined = []\n",
+    "    for i, (d_pct, d_name) in enumerate(zip(dest_pct_list, dest_names)):\n",
+    "        print('testing ethnic group %s'%(d_name))\n",
+    "        dest_assim_scores = []\n",
+    "        for e_pct, e_name in izip(expat_pct_list, expat_names):\n",
+    "            d_assim = compute_assimilation(source_pct, d_pct, e_pct,\n",
+    "                                           TOP_DEST_PCT=top_dest_pct,\n",
+    "                                           score_type='/')\n",
+    "            # log scores\n",
+    "            d_assim = np.log(d_assim)\n",
+    "            dest_assim_scores.append(d_assim)\n",
+    "            x_min = min(x_min, min(d_assim))\n",
+    "            x_max = max(x_max, max(d_assim))\n",
+    "        r = int(i / cols)\n",
+    "        c = i % cols\n",
+    "        ax = axs[i]\n",
+    "        ax.boxplot(dest_assim_scores, vert=False)\n",
+    "        if(c == 0):\n",
+    "            ax.set_yticklabels(expat_names)\n",
+    "        else:\n",
+    "            ax.tick_params(axis='y', left=False, labelleft=False)\n",
+    "        ax.set_title('%s (min_count=%d)'%(d_name, min_count), fontsize=18)\n",
+    "        # plot \"normal\" assimilation value line (AR=log(1)=0)\n",
+    "        ax.vlines(default_assim_val, 0, max(Y)+1, color='k', linestyle='--')\n",
+    "        dest_assim_scores_combined.append(dest_assim_scores)\n",
+    "    # fix x axis\n",
+    "    for i in range(len(dest_data_list)):\n",
+    "        ax = axs[i]\n",
+    "        ax.set_xlim(x_min, x_max)\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This causes some big changes! What if we switch to DAU instead of MAU?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "'ascii' codec can't encode character u'\\xe4' in position 15: ordinal not in range(128)\n",
+      "testing ethnic group Anglo\n",
+      "testing ethnic group African American\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11b4e4a8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "reload(utils)\n",
+    "from utils import clean_pop_data\n",
+    "min_count = 1\n",
+    "count_var = 'dau_audience'\n",
+    "count_var_pct = '%s_pct'%(count_var)\n",
+    "## fix expat data first\n",
+    "expat_pct_list = [norm_to_pct(d, count_var=count_var, replace_min=True, min_count=min_count) for d in expat_data_list]\n",
+    "# get source percent for assimilation\n",
+    "source_pct = expat_pct_list[0]\n",
+    "shared_interests = expat_pct_list[0].index.tolist()\n",
+    "dest_pct_list = [norm_to_pct(d, shared_interests=shared_interests, count_var=count_var, replace_min=True, min_count=min_count) for d in dest_data_list]\n",
+    "# plot again\n",
+    "Y = pd.np.arange(len(expat_data_list))+1\n",
+    "# keep track of x-min and max to align the axes later\n",
+    "x_min = np.inf\n",
+    "x_max = -np.inf\n",
+    "cols = len(dest_data_list)\n",
+    "rows = 1\n",
+    "f, axs = plt.subplots(ncols=cols, nrows=rows, figsize=(6*cols, 4*rows))\n",
+    "default_assim_val = 0.\n",
+    "top_dest_pct = 50\n",
+    "dest_assim_scores_combined = []\n",
+    "for i, (d_pct, d_name) in enumerate(zip(dest_pct_list, dest_names)):\n",
+    "    print('testing ethnic group %s'%(d_name))\n",
+    "    dest_assim_scores = []\n",
+    "    for e_pct, e_name in izip(expat_pct_list, expat_names):\n",
+    "        d_assim = compute_assimilation(source_pct, d_pct, e_pct,\n",
+    "                                       TOP_DEST_PCT=top_dest_pct,\n",
+    "                                       score_type='/')\n",
+    "        # log scores\n",
+    "        d_assim = np.log(d_assim)\n",
+    "        dest_assim_scores.append(d_assim)\n",
+    "        x_min = min(x_min, min(d_assim))\n",
+    "        x_max = max(x_max, max(d_assim))\n",
+    "    r = int(i / cols)\n",
+    "    c = i % cols\n",
+    "    ax = axs[i]\n",
+    "    ax.boxplot(dest_assim_scores, vert=False)\n",
+    "    if(c == 0):\n",
+    "        ax.set_yticklabels(expat_names)\n",
+    "    else:\n",
+    "        ax.tick_params(axis='y', left=False, labelleft=False)\n",
+    "    ax.set_title('%s (%s)'%(d_name, count_var), fontsize=18)\n",
+    "    # plot \"normal\" assimilation value line (AR=log(1)=0)\n",
+    "    ax.vlines(default_assim_val, 0, max(Y)+1, color='k', linestyle='--')\n",
+    "    dest_assim_scores_combined.append(dest_assim_scores)\n",
+    "# fix x axis\n",
+    "for i in range(len(dest_data_list)):\n",
+    "    ax = axs[i]\n",
+    "    ax.set_xlim(x_min, x_max)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.14"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}