diff --git a/src/analysis/assimilation_comparison_ethnicity.ipynb b/src/analysis/assimilation_comparison_ethnicity.ipynb
index 7dd3e66..c124610 100644
--- a/src/analysis/assimilation_comparison_ethnicity.ipynb
+++ b/src/analysis/assimilation_comparison_ethnicity.ipynb
@@ -12,8 +12,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -34,7 +36,9 @@
   {
    "cell_type": "code",
    "execution_count": 151,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "def simplify_audience_output(data):\n",
@@ -71,7 +75,9 @@
   {
    "cell_type": "code",
    "execution_count": 275,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -210,7 +216,9 @@
   {
    "cell_type": "code",
    "execution_count": 276,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from collections import defaultdict\n",
@@ -243,7 +251,9 @@
   {
    "cell_type": "code",
    "execution_count": 277,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -282,7 +292,9 @@
   {
    "cell_type": "code",
    "execution_count": 278,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -424,7 +436,9 @@
   {
    "cell_type": "code",
    "execution_count": 279,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -500,7 +514,9 @@
   {
    "cell_type": "code",
    "execution_count": 280,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from scipy.stats import entropy\n",
@@ -529,7 +545,9 @@
   {
    "cell_type": "code",
    "execution_count": 281,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -610,7 +628,9 @@
   {
    "cell_type": "code",
    "execution_count": 282,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -637,7 +657,9 @@
   {
    "cell_type": "code",
    "execution_count": 283,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -677,7 +699,9 @@
   {
    "cell_type": "code",
    "execution_count": 284,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -724,7 +748,9 @@
   {
    "cell_type": "code",
    "execution_count": 285,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -823,7 +849,9 @@
   {
    "cell_type": "code",
    "execution_count": 300,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import numpy as np\n",
@@ -921,7 +949,9 @@
   {
    "cell_type": "code",
    "execution_count": 299,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -991,7 +1021,9 @@
   {
    "cell_type": "code",
    "execution_count": 362,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from itertools import izip\n",
@@ -1058,7 +1090,9 @@
   {
    "cell_type": "code",
    "execution_count": 363,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1121,7 +1155,9 @@
   {
    "cell_type": "code",
    "execution_count": 364,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1178,7 +1214,9 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "def interest_comparison_test(source_data, expat_data, dest_data, \n",
@@ -1283,7 +1321,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.15"
+   "version": "2.7.10"
   }
  },
  "nbformat": 4,
diff --git a/src/analysis/compare_assimilation_across_immigrants_by_origin.ipynb b/src/analysis/compare_assimilation_across_immigrants_by_origin.ipynb
index 848812e..153fd60 100644
--- a/src/analysis/compare_assimilation_across_immigrants_by_origin.ipynb
+++ b/src/analysis/compare_assimilation_across_immigrants_by_origin.ipynb
@@ -37,13 +37,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/hg190/istewart6/crisis_language/lib/python2.7/site-packages/pandas/core/indexing.py:537: 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",
+      "/hg190/istewart6/crisis_language/lib/python2.7/site-packages/pandas/core/indexing.py:357: 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"
+     ]
+    },
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -192,14 +225,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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RtB/wbmASIGBuuX3lQ8AOwDTbN0j6PvAx4KudDPmU7X0kfQy4BNgdWA7cK+mb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\ngy7lsZgAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xe1bad68>"
+       "<matplotlib.figure.Figure at 0x7f0e08e90490>"
       ]
      },
      "metadata": {},
@@ -207,9 +242,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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142hK6wNLaZk2o+ow1in5zHFE9JWsjCMiIiqWZBwREVGxJOOIiIiKDclkLGm1pHmS7pJ0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\n/5On9JJ/GKKiAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xd57aa58>"
+       "<matplotlib.figure.Figure at 0x7f0e08aace50>"
       ]
      },
      "metadata": {},
@@ -217,9 +252,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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v/hOwFjhT0jTgr407Je0E7Gj7FyWutbZXNXdi+wzbU21PHbntuB6Gi4iIjZFk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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xbfd1198>"
+       "<matplotlib.figure.Figure at 0x7f0e067b1c90>"
       ]
      },
      "metadata": {},
@@ -227,9 +262,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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8P/AfksYA1wBHlWvC2wOHULvG/AvgOEnjABqWrM8CLgPOlzTQSwergemSxpVl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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xbd77438>"
+       "<matplotlib.figure.Figure at 0x7f0e06686590>"
       ]
      },
      "metadata": {},
@@ -237,9 +272,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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Hjd1eO4xnfu7LRUQMiowcIyIiapIcIyIiapIcIyIianLPsUUtenAFbdNmNzuMpshnICNi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\ngg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xe699518>"
+       "<matplotlib.figure.Figure at 0x7f0e065eb6d0>"
       ]
      },
      "metadata": {},
@@ -247,9 +282,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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ni/o6oYeNVCMiog1aNZM7Fphbfv4dSeOo9l0b1iQ3nGyfafv77Y4jIiL+ZtBJ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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xc5a72b0>"
+       "<matplotlib.figure.Figure at 0x7f0e064d2b50>"
       ]
      },
      "metadata": {},
@@ -257,9 +292,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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I+LztCxorS/rkAMb4BPBL4ERgFPB0Z3ddjdHM9vnA+VBtmjqA8SMiog9qu1xZdgT/G+A0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\ngQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xd5aaeb8>"
+       "<matplotlib.figure.Figure at 0x7f0e063ce390>"
       ]
      },
      "metadata": {},
@@ -267,9 +302,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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REdFzsquxWiapBbjCduPy4YA2cuLWnjjljGaHEUNEvqA5qkLSAtuTO6s36GZy\nERERXTXQHzzpMttLgEE1i4uIiL6VmVxERFRWZWZyg9WOm09gfu6TRET0iczkIiKispLkIiKispLk\nIiKisnJPrskWPrKclmmzmx1GRAxS+exjxzKTi4iIykqSi4iIykqSi4iIykqSi4iIyuqVJCfpcEmW\ntG0HdTaS9JHe6G894porqdMv8Oylvk7oYCPViIhogt6ayR0DzC6vf0PScGr7rvVrkutPts+2/ZNm\nxxERES/pcZKTNA54M/BRahuVtpbvK+k6Sf8NLKK2P9vrJd0h6VuStpB0bXm/SNJb22h7uqRbJd0n\n6cclWbbO0E6RdJOkJZL2L+VjJF0uabGknwOj24l5iaSTJS0oP7tK+qWkhyT9c138V9Rdc5ak48rx\nt0ofd0o6vS7WE8vxGyVdL+muMr7X9/T3HBER6683Pif3buAq2w9JekLSrrYXlHO7ANvafrjs97aD\n7UkAkj4LzLZ9iiQBY9to+3Tb00v9C6jtAn5JOSfbe0o6GDgJuBr4BPC47XdL2p7axqrtecj2riVJ\nnQ/sUWK4R9JZ7V0kaVPgYGB7225n5++LgC/a/kXZWXxEQxtTKbuHDx+/SQchRkRET/TGcuUxwMXl\n+GLWXbK8xfbD7Vw3D/iwpOnALrZXtFHnEEm3SboL2A+ov+d3eXldQG0XcIB9gBkAtu8G7uog7tZZ\n2kJgnu2Vtp8AVlJbWm3PU8DzwHmSjgSeqz8paRNgY9u/KHE8b3tlfR3b59iebHvy8DETOugqIiJ6\nokdJTtIrqCWf8yQtAT4LvLfMzACeae9a29cCbwOWAudKmtLQ9jjgTOBQ2zsBP2Ddmefq8rqmbhzr\ns8156/Vr645b3w+re201qsT9ArVZ3yXAQcCV69FnRET0o57O5I4ELrC9le0W21sCv6c2o2q0ChjT\n+kbSlsCjts8FzgN2a6i/AbVE85Sk0aWvzlxPuS8o6Y3ATus5nnpLge0ljSxLkq33/cYB42zPAT5F\nbUn2RWU2+ISkQ0v9EZLGEBER/a6n9+SOAU5pKPt5KZ9ZX2j7sfIQxj3UlgrvBk6U9DywAvhQQ/1l\nkn4E3As8BNzahXjOBC6StBhYTG0ps1tsPyjp8tL/fcDt5dR4YJakDYDh1BJdo2OozW5Ppra0eSTw\nYHdjiYiI7pG9Pit80dtGTtzaE6ec0ewwImKQGqpf0Cxpge1OPwedbzyJiIjKSpKLiIjKyn5yTbbj\n5hOYP0TBoNjAAAAGXUlEQVSXGyIi+lpmchERUVlJchERUVlJchERUVm5J9dkCx9ZTsu02c0OIyKi\nX/XXRx8yk4uIiMpKkouIiMpKkouIiMpKkouIiMoasklOkiVdWPd+g7Lp6xUdXddBe+dK2q73IoyI\niJ4ayk9XPgPsIGm07VXAO4FHutuY7Q/3WmQREdErhuxMrpgDtD7HegxlV3EASdMlnVj3fpGkFknj\nJc2RdFcpO7qcnytpcjk+XNLCsrXQb/txPBERUWeoJ7mLgKMljaK2werNXbjmQOAh2zvZ3gFY50Nu\nkiYCZwMH254EHNHYgKSpkuZLmr9m5fIeDyIiIto2pJOc7buAFmqzuDldvOwO4F2STpH0NttPN5zf\nG7ja9sOlj2Vt9HuO7cm2Jw8fM6H7A4iIiA4N6SRXzAJOpW6psljLur+fUQC27wcmAwuBL0v6t/4I\nMiIi1l+SHPwQ+LLthQ3lS4FdACRNAl5bjicCK2xfSC057tZw3XXAfpK2LPU36sPYIyKiA0P56UoA\nbC8F/qONUxcDUyTdDcwD7i/lOwGnSnoBeAH4eEN7j0r6CHClpOeBJ4H9+yr+iIho35BNcrbHtVE2\nF5hbjlcAb2vj0iXAVW1cu2/d8WXAZb0SaEREdFuWKyMiorKS5CIiorKG7HLlQLHj5hOY30/7KkVE\nDDWZyUVERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGXJ\ndrNjGNIkPQ3c1+w4mmBj4M/NDqKfZcxDx1Acd3+PeSvbm3RWKV/r1Xz32Z7c7CD6m6T5Q23cGfPQ\nMRTHPVDHnOXKiIiorCS5iIiorCS55jun2QE0yVAcd8Y8dAzFcQ/IMefBk4iIqKzM5CIiorKS5CIi\norKS5PqQpAMlLZJ0j6RpbZwfKWlmqXOjpJa6c58r1y2S9K7+jLsnujtmSQdIul3SwnLuwP6OvSd6\n8mddzr9G0gpJJ/ZXzD3Vw7/fO0m6XtId5fyo/oy9u3rw93uspEsk3SvpAUlf7u/Ye6IL436rpNsk\nvSDpyIZzUyQtLj9T+i/qwnZ++uAHGAksAbYERgDzgV0a6nwa+I9yfAQwqxzvWuqPALYo7Yxs9pj6\neMw7A68qxzsAjwHDmz2mvh533flLgJ8BJzZ7PP3wZz0KuBvYtrx/+WD4s+7hmD8MXFSOx5R2/q7Z\nY+rFcbcAOwE/AY6sK58I/A4YD2xYjl/dn/FnJtd39gDutv2w7eeBmcAhDXUOAS4ox5cDb5E0vJTP\ntP287aXU/kHYvZ/i7oluj9n2nbYfA7C9iNoqw6D43z09+7NG0uHA76n9OQ8WPRnzgcAttu8FsP0X\n22v6Ke6e6MmYlwJjJW0AjAaeA57qn7B7rNNx215i+y5gbcO17wSutP1X208DV5ayfpMk13e2AB6u\ne7+0lLVZx/Za4Elg0y5eOxD1ZMwvKssdd9l+pu9C7VXdHrekccC/AoNq+Yqe/VlvC7xM0jVlCexL\n/RBvb+j2mG1fCSwH/gT8ATjV9mBJcj3596jp/5bla71iQJG0HXAKcECzY+kn04HTba+Q1OxY+ssw\n4C3AbsBK4GpJC2zPaW5YfUfSP1JbptyM2vLsdZJ+Y/vB5kZWfZnJ9Z2l1NawW21RytqsI2kY8Erg\niS5eOxD1ZMxI2gL4b+ADtn/X59H2np6Mew/gm5KWAJ8EPi/pY30dcC/oyZgfBq61/WfbK4E5wKQ+\nj7jnejLmfYDLyi2Ix4EbGBy3IKBn/x41/d+yJLm+cwuwg6QtJI0AjgJ+2VBnDvCP5fjdwDzbL5Ty\noySNKP/w71DaG+i6PWZJGwGzgc/ZvqHfIu4d3R637X1st9huAc4ATrZ9Vn8F3gM9+fv9G2BnSWPK\nPaq3Aff2U9w90ZMx/w7YD2pPWgJ7lrLBoCvjbs9vgAMljZe0IXBQKes/zX5yp8o/wMHUHia4B/hC\nKfsKcFg5HkXtibpFwDzgdXXXfqFcdzdwULPH0tdjBr4IPAPcUfezabPH0x9/1nVtTGeQPF3Z0zFT\nSwR3A/cDZ1K+fWmg//Tg7/fYUn4/8ABwUrPH0svj3o3aDO0Zavch76679kPlunuAD/Z37Plar4iI\nqKwsV0ZERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGUlyUVERGX9fy5x216SMaeVAAAA\nAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xce15278>"
+       "<matplotlib.figure.Figure at 0x7f0e062e8650>"
       ]
      },
      "metadata": {},
@@ -277,9 +312,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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9azm9GPiEpLuA7YDTeznGs8ApwJ3AL0q/ACOBGZLml3P/Zfv/Gpr/A/Cu8gaw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\nTejB7wAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xe89dcc0>"
+       "<matplotlib.figure.Figure at 0x7f0e0622e9d0>"
       ]
      },
      "metadata": {},
@@ -287,9 +322,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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FvMv25PLa2fZVTerV97m+7v36uv7rywCjAcosu51a4j5FUp+ueds+x3a77faRW43vSxcR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\nNAwXNsMCQwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xd1f2eb8>"
+       "<matplotlib.figure.Figure at 0x7f0e061223d0>"
       ]
      },
      "metadata": {},
@@ -297,9 +332,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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yMu4foyTNA+YDDwP/AewHXGb7adurgJ8B+5f699ueXY4vLHWbubL8bAMW2n7E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\nYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xdc87550>"
+       "<matplotlib.figure.Figure at 0x7f0e06007850>"
       ]
      },
      "metadata": {},
@@ -307,9 +342,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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4mamIiIiISuQtpaOA7QMGadwRNUsRERGtlaQiRpXp20yhPdPqEREtkeWPiIiI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\nIiIqkaQiIiIiKvH/AWxIzeY+fAepAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xcf7cda0>"
+       "<matplotlib.figure.Figure at 0x7f0e06045710>"
       ]
      },
      "metadata": {},
@@ -317,9 +352,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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/krQOcAAwU9JrgSOBKYCAWeWWjI8C2wLH2L5J0veAjwNf7aDJZ23vJunjwKXA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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xe239a58>"
+       "<matplotlib.figure.Figure at 0x7f0e06296f10>"
       ]
      },
      "metadata": {},
@@ -327,9 +362,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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MkrQAeADYHji9lO8PzLK9zvZfgCuA/YBDgLNsrwGw/WjDWP9N54kYoG3VuxiY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\niJr9f7oKSGpl10pTAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xe8c46a0>"
+       "<matplotlib.figure.Figure at 0x7f0e08ab8ad0>"
       ]
      },
      "metadata": {},
@@ -337,9 +372,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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c3TJx47HMyJJsRES/yDJ1REREzZKMIyIiapZkHBERUbNcM45uabtnEROmTuu6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\nzZKMIyIiapZkHBERUbP/Dxx/fypItt1QAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xd861780>"
+       "<matplotlib.figure.Figure at 0x7f0e0618fe10>"
       ]
      },
      "metadata": {},
@@ -347,9 +382,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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MXwgcLemfS9kdwEmMzDyqP4Juokq415XyGcCZ0sP3uL233sn2WklHAF8pf2itBQ6i+gMn\nIiK6TH9ZOe3wwNJngV7bX9woO4gxNWH6zp5+zMndDqNtefBFRDSBpAXlZuVh2ShLmZKuobqh6d0b\nY/yIiIhN2UZJzuUjUBERETEC+W7tiIiIhskdutGWmTtMY36u40ZEjInMnCMiIhomyTkiIqJhkpwj\nIiIaJtecoy29t6+kZ87cboexUeWz0RHRFJk5R0RENEySc0RERMMkOUdERDRMkvMYkrRe0kJJN0m6\nqDzvutP7eKOk13R63IiIGDtJzmNrTXmu8y7A3cCbO70D26fZ/lqnx42IiLGT5Nw9VwE7AUiaImme\npOvKrPpVpbxH0o2SzpK0VNJcSVuVuuWSPilpgaTFknYt5SdKOr5sz5N0kqSrSvuDS/lWkr4vaZmk\n8yVdI2nYT02JiIiNI8m5CySNB54H9JaiB4AX294L2B/4ZGkDsAvwedu7Uz27+W21oe6xvTfV86A/\nO9DubO9HNUv/YCl7O3Cb7d2onjm9d2eOLCIiOiHJeWxNkrQQuAN4AnBaKd8C+IykpcBPgMcB00vd\nbbavLtvnAAfUxjuv9nu/AfZ5Qfm9AJhRtvcHvgVg+wZgcX8dJR0nab6k+etXr2zvCCMiYtSSnMfW\nGtuzqJazVwOHlvLXANOAPUv9nfzlC2LcMoYH2B7I2vJ7PcP87237dNuzbc8eP3nacLpGRMQoJDl3\nge3VVEvLH5M0DpgE3GV7vaRnU65FF0+Q9IyyfQRwZa3u8Nrvq4YRws+BVwBI2gWYOfyjiIiIjSVf\n39kltq+X9CuqhPt14BJJi4H5wI21pjcBb5W0F3Ar8I5a3baSFgBbAq8axu5PBs4ty+jLgKXAmhEf\nTEREdFSS8xiyPaXl9UtqL//mpixJPcA62/9ngCH/0/Z7WsY8sbZ9YG37D0BPebkGeLnttZKeDPwM\n+FWbhxERERtZkvPmaSvgMkmPAh4FvMX22iH6RETEGElybjDby4E9BqjrGcW4fyYfn4qIaKzcEBYR\nEdEwmTlHW2buMI35ed5xRMSYyMw5IiKiYZKcIyIiGibJOSIiomFyzTna0nv7SnrmzO12GGNmea6v\nR0QXZeYcERHRMEnOERERDZPkHBER0TBJzhEREQ2T5Fwjab2khZKul3SdpHeWRzpuEiR9SdJu3Y4j\nIiIGl7u1/9oa27MAJD0aOBuYCvx7V6PqENuv63YMERExtE1mVthptv8EHAe8RZUeSVeUmfVSSQcC\nSDpQ0jxJ50r6paTz+2bbkvaXtEDSIknzJW0taQtJp0paLOlGSW9r3XfZ142SviLpJknfkPR8SZdL\nWi5p/9LuREnH1/otKX2nSrqo7GOJpCNL/TxJs8v2yyT1luO5bKOf0IiIaFtmzoOwfbukh4DtgTuB\ng2w/KGln4DvAzNL06cCupc2VwHMk/Rw4D/gn29dL2gpYC7wZuMP2npImAFdJ+qHtm1t2//fAy4HX\nAb8AjrD9LEkvBU4ABvsg7guAW22/CEDS1vVKSdOB04B9bN8maZv+BpF0HNUfKIyfut3gJysiIjom\nM+ehqfyeDJwlaRnwLWCXWptrbf/e9gZgITAD2BNYbvt6ANv3214HPB94jaSFwDXAo4En97Pf39he\nVsZcCvy0lPeW8QezEPhHSSdJeo7t+1rqDwAutX1bie3e/gaxfbrt2bZnj588bYhdRkREp2TmPAhJ\njwfGA3cBHwN+CxxZyh6oNV1b217P4H/0CHiT7UuH2H19zA211xtq49e3ASYC2L65LF+/CPiQpMts\nf2iI/UVERENk5jyAstR7GvB52wYmUS1HGziKKkEPZjHQI+npZbytJG0BXAIcJ2l8KX+ipMkjDHMF\nsFcZZxbwxLI9HVhl+2zgU8A+Lf0uBw6SNKN2rBER0RCZOf+1SWW52eXnG8CnS90XgAslHQ38GLh/\nsIFsr5V0BPCVcoPYWuAg4PNAD7BU0oPAvcBLRhjvecAxkpYCVwN91633BD4laR2wDnhrS2x3SHoz\ncHG5pv5H4OARxhARER2maiIYMbgJ03f29GNO7nYYYyYPvoiITpC0wPbs4fbLsnZERETDJDlHREQ0\nTK45R1tm7jCN+VnqjYgYE5k5R0RENEySc0RERMMkOUdERDRMrjlHW3pvX0nPnLndDqNx8pGriNgY\nMnOOiIhomCTniIiIhklyjoiIaJgk54iIiIZJch4hSR+RdLOkxeXnH0Y4zrGSTu10fAPs6/GSzh+L\nfUVExMjlbu0RkHQgcAgwszx9ahuqR0o2mu3fAYd3O46IiBhcZs4jsz1wt+21ALbvtf17AEkvkrRE\n0jJJ35A0sZQvl7Rt2Z4tad5gO5B0oqSvSpon6VZJr5D0KUm9kn461LiSDpa0sPYzVVKPpCWlfgtJ\nn5d0Y5n5v32jnKmIiBi2JOeRuQR4Uklsp0k6BEDSZOAM4FDbu1E9w3k0Se9JVM9ZPhQ4G/ix7ZnA\nSoZ+BvQ7gTfYngXsB6xuqX8rsB2wm+09gTNbB5B0nKT5kuavX71yFIcRERHDkeQ8ArZXArOAfwPu\nBM6W9HpgD+Am27eUpmcDzxrFri62vR7opfpv9aNS3gvMGKLvz4BTJL0N2M72upb6Q4Av2t5Qjune\n1gFsn257tu3Z4ydPG8VhRETEcCQ5j5DtdbYvtf3vwFuAVwzRZQN/Od8T29xN37L5BuAh2+5nrH7H\ntf0J4PXABOAKSbu2uc+IiOiyJOcRkPQUST21olnACqoZ7VMkPbGUH0U1g6XU7122D+tgOP2OK6nH\ndq/tTwLXUs3q634MvF7SuNJ+mw7GFBERo5DkPDJbA+eWG79uBJ4OfMD2GuBfge9LWgZsBZxS+nwI\n+IKkawD3N+gIDTTuu8rNY4uB9UDrF2OfCvwRuEHSIuA1HYwpIiJGQX9ZKY0Y2ITpO3v6MSd3O4zG\nyYMvImIwkhbYnj3cfpk5R0RENEySc0RERMPkG8KiLTN3mMb8LOFGRIyJzJwjIiIaJsk5IiKiYZKc\nIyIiGibXnKMtvbevpGdO60elo4ny8a6IR77MnCMiIhomyTkiIqJhkpwjIiIaJsk5IiKiYZKcO0DS\nekkLJd0k6UJJU7sdU38kHSppTrfjiIiIwSU5d8Ya27Ns7wLcB/xbtwPqj+0Ly3OeIyKiwZKcO+9y\n4EkAkt4n6cbyM6eU9ZTXZ0laKmmupK1aB5E0T9JnJF1T2j9D0rcl3SLpk7WxltT6HC/pxLL9/yQt\nk7RI0nml7FhJp5bt6ZIuLo+9XCxp/419YiIioj35nHMHSdoCeCEwT9IzgSOBWYCA+ZLmAXcAuwDH\n2r5a0heBtwEf72fIB2zvK+ltwAXA04CVwG8k/dcQ4bwLeKLttZK27qf+NGCu7c9JGgdM6ed4jgOO\nAxg/dbshdhcREZ2SmXNnTJK0EFgE3An8N3AA8F3bD9heA3wHeFZpf5vtq8v2OaVtf35QfvcCS2zf\nZXst8CtghyFiWgycJek1A9QfBJwOYHuD7T+3NrB9uu3ZtmePnzxtiN1FRESnZObcGWtsz6oXSBqs\nvYd43Wdt+b2htt33elztd5+Jte0XA88G/gk4QdIebe4zIiK6LDPnjecK4GWSJkiaCBwG/KzUPUHS\nM8r2EcCVI9zHXcDfSXqspC2pEjJlmfrxti8D5gBTgW1a+v6UsmQtadwAS98REdEFSc4bie2fA+dS\nLXUvBM62fU2pvgl4q6SlwAzglBHu4wHgE8D1wI/KuADjgXMlLSp1/237Dy3d3wS8pNxQdh0wcyQx\nRERE58nO6uZYktQD/MB26zJzo02YvrOnH3Nyt8OINuTBFxHNIWmB7dnD7ZeZc0RERMPkhrAxZns5\n8IiaNUdExNhKco62zNxhGvOzXBoRMSayrB0REdEwSc4RERENk+QcERHRMLnmHG3pvX0lPXPmdjuM\n2IjyEayI5sjMOSIiomGSnCMiIhomyTkiIqJhkpwjIiIaZrNMzpJWtbw+VtKpZfuNgzwDub+xHu7b\ndJJmS/pst+OIiIjB5W7tFrZP63YMG4vt+cD8bscRERGD2yxnzoORdKKk48v2PEmnSPqFpJskHTBA\nt8dLmivpN5JOqY31L5JuKD+nSFIpXyXp05IWSfq5pMf1E8eZkr4g6UpJt0h6rqQzShzn1Nqtqm0f\nLunMsn2UpCWSFkq6opQdKOkHZXtrSd+UtEzSYkmvHP3Zi4iITthcZ86TJC2svX4McOEAbSfY3kfS\n/sAZwFP6aTML2BNYB9xcEvQ64KNUz0leCVwCHAF8E9gKuNb2OyS9D/gIcFw/406zvb+kl5b49gVu\nBH4haR/bvxjkGD8APNf2nZK27qf+o8Dtto8EkDSttYGk4/riGj91u0F2FRERnbS5zpzX2J7V9wN8\ncJC25wHYvhKYKGn7ftpcanuV7QeApcCOwD+U8ntsrwfOAZ5V2m8Azi/b5wADzcj7vvWjF7jD9jLb\nG8o+ZgxxjD8DzpL0BmBiP/WHAA8v4dte2drA9um2Z9uePX7y3+TuiIjYSDbX5DwcHuI1wNra9nqG\nf177G7M+7oaWfWyo7UO18oeTsO03Us2epwMLJD12mDFFRESXJDkP7XAASfsBD9i+u81+VwEHSXq0\npHFUS9o/K3XjgMPK9hHAlaOI74+SnlquZ7+sr1BSj+1rbJ8I3Ak8saXfj4E31NpnahwR0RBJzkN7\nSNK1wFeB17bbyfZtVMvlVwHLqK4Vn1eq7wf2K9e9D2XwZfWhvJfqevYVwB218pPLjV5LgGuABS39\nPgA8odystohqmTsiIhpA9kArqiFpHnB8+QhSJ8ddZXtKJ8fc2CZM39nTjzm522HERpQHX0R0nqQF\ntmcPt19mzhEREQ2zuX6Uqi22D9xI4z6iZs0RETG2kpyjLTN3mMb8LHtGRIyJLGtHREQ0TJJzRERE\nwyQ5R0RENEyuOUdbem9fSc+cuUM3jE1OPmIVMfYyc46IiGiYJOeIiIiGSXKOiIhomCTniIiIhkly\nHgZJ6yUtlHSTpIskbTPCceZJGvZ3rY6WpDdKes1Y7zciIoYnyXl41tieZXsX4G7gzd0OaDhsn2b7\na92OIyIiBpfkPHJXATsBSBon6XPl8Ys3SDqmr5Gkf5d0o6RFkj5ZH6D0O1PSR1sHl7Rc0sclLSg/\ne0v6oaRbJf3f0uZAST+o9TlV0rFl+z8lLSv7/UwpO1HS8WX7qZKuKI+VXCjpyZ0/RRERMRL5nPMI\nSBoPPA+4rBQdCTwF2B14NNAr6VJgH+D5wNNsr21ZBt8C+DqwxPbHBtjVrbb3Lsn1TGBfYCvgBkmn\nDhLf9sCLgN1tW9LW/TT7JvB+29+XtCWwZTvHHhERG19mzsMzSdJC4A7gCcBppfwA4FzbG2z/EbgU\n2A84BDjT9loA2/fWxvofBk/MAH2z4l7gaturbd8NrAYGu959D/AQ8GVJhwMP1islbQdsa/v7Ja6H\nbK9uHUTScZLmS5q/fvXKQXYXERGdlOQ8PGtsz6Jazl4NHDqKsX4OPFfSxEHarC2/N9S2+16Pq/3u\nMxHA9jqqWfb5wAuBi0cSoO3Tbc+2PXv85GkjGSIiIkYgyXkEyizz7cDHJI0DLgdeWa4hPwY4iOqa\n9I+BYyVNAGhZ1v4ycBFwnqSRXl5YAewuaUJZuj647GcKMMX2RcA7gL1a4r8buFvSS0r7LSVNHmEM\nERHRYbnmPEK2r5f0K+AI4Fxgf2AZYOAE2yuAFZJmAYslraGawc6pjfFpSdOAsyQdbXvDMGO4RdIF\nwI3ATcD1pWoqcGFJ+uOpEnSro6iWvT9OtQR+OHDLcPYfEREbh2x3O4Z4BJgwfWdPP+bkbocRXZAH\nX0SMnKQFtof9vRZZ1o6IiGiYJOeIiIiGSXKOiIhomNwQFm2ZucM05ufaY0TEmMjMOSIiomGSnCMi\nIhomyTkiIqJhcs052tJ7+0p65sztdhgR8QiQz8aPXmbOERERDZPkHBER0TBJzhEREQ2T5BwREdEw\nm01ylvQySZa06yBttpH05jGOa56kYX8p+gj39UZJrxmLfUVExMhtNsmZ6hGJc8vvvyFpPLANMKbJ\neSzZPs3217odR0REDG6zSM6SpgD/APwb1fOX+8oPlHS5pO8BS4BPAE+WtFDSf0raUdLPyuslkp7d\nz9gnSvod4vXnAAAK9ElEQVSFpJskfbUk+b4Z8UmSrpK0XNLBpXyypAskLZP0bWDSADEvl/RxSQvK\nz96SfijpVkn/txb/D2p9TpV0bNn+z7KPRZI+U4v1+LL9VElXSFpcju/Joz/TERHRCZvL55xfClxi\n+1ZJd0va2/aCUrcXsKvt2yT1AHvYngUg6d3AXNsnSRKwVT9jf8b2iaX9WcBhwPmlTrb3k/Qi4IPA\npcDbgLtsv1TS7sCiQeK+1fbeJbmeCexbYrhB0qkDdZK0PfAiYHfblrR1P82+Cbzf9vclbQls2c84\nxwHHAYyfut0gYUZERCdtFjNnqqXs88r2efz10va1tm8boN/VwOsknQjsZXtVP21eLOk6SYuBg4D6\nNe0Lyu8FwIyy/SzgHADbS4HFg8TdNyvuBa62vdr23cBqqiX4gdwDPAR8WdLhwIP1SknbAdva/n6J\n4yHbq1sHsX267dm2Z4+fPG2Q3UVERCdt8slZ0mOokuaXJS0H3g28qsyEAe4fqK/tnwHPAVYAX5J0\nTMvYU4BTgJfY3hP4In+9GrG2/F7PX861hxF+X/8Nte2+1+Nqv/tMLHGvo5plnw+8ELh4GPuMiIgu\n2+STM3A4cJbtnWz32J4B/IZqBttqDTC574WkGcAdtr8EfBnYp6X9FlQJ8h5Jk8q+hnIF5bq3pKcC\new7zeOpWALtLmlCWrvuua08Bpti+CHgH1dL9w8rs+25JLyntt5Q0mYiIaITN4ZrzUcBJLWXfLuXn\n1gtt31lujrqBakl5KXC8pIeAVcBrW9rfK+kM4EbgVuAXbcRzCvBNScuAZVRL3iNi+xZJF5T93wRc\nX6qmAhdK2gIYT5WgWx1FtZrwcaol8MOBW0YaS0REdI7s4ayyxuZqwvSdPf2Yk7sdRkQ8AuTBF38h\naYHtYX+XxeawrB0REfGIkuQcERHRMJvDNefogJk7TGN+lqoiIsZEZs4RERENk+QcERHRMEnOERER\nDZNrztGW3ttX0jNnbrfDiIgYU936WFhmzhEREQ2T5BwREdEwSc4RERENk+QcERHRMEnODSbJks6u\nvd5C0t2SfjBYv0HG+5Kk3ToXYUREbAy5W7vZ7gf2kDTJ9hrgecDtIx3M9us6FllERGw0mTk330VA\n3738RwHn9FVIOlHS8bXXSyT1SJoq6SJJi0vZkaV+nqTZZftlknrLIzIvG8PjiYiIISQ5N983gSMl\nTQT2BK5po88LgFtt72l7D+CvPqAsaTpwGvAi27OAw/obRNJxkuZLmr9+9cpRHURERLQvybnhbC8G\neqhmzRe12W0h8I+STpL0HNv3tdQfAFxq+7ayj3sH2Pfptmfbnj1+8rSRHUBERAxbkvMjw4XAp6gt\naRcb+Ov/hhMBbN8MzAZ6gQ9J+vexCDIiIjojyfmR4SvAh2z3tpSvAPYCkDQLeGLZng6ssn02VVLf\np6Xf5cBBkmaU9ttsxNgjImKYcrf2I4DtFcBn+6k6DzhG0lLgauDmUr4n8ClJ64B1wFtbxrtD0puB\niyU9BPwROHhjxR8REcOT5Nxgtqf0UzYPmFe2VwHP6afrcuCSfvoeWNv+LvDdjgQaEREdlWXtiIiI\nhklyjoiIaJgsa0dbZu4wjfldeq5pRMTmJjPniIiIhklyjoiIaJgk54iIiIZJco6IiGiYJOeIiIiG\nSXKOiIhomCTniIiIhklyjoiIaJgk54iIiIaR7W7HEI8Aku4Dbup2HEPYFvhDt4MYQmLsjMTYGYmx\nMwaLcSfb2w13wHx9Z7TrJtuzux3EYCTNT4yjlxg7IzF2xuYaY5a1IyIiGibJOSIiomGSnKNdp3c7\ngDYkxs5IjJ2RGDtjs4wxN4RFREQ0TGbOERERDZPkHBER0TBJzpshSS+QtETSDZLm9FM/QdK5pc3P\nJfXU6t5b+i2R9I/tjjlWMUp6vqTrJfWWuhfU+syTdJOkheVn+y7F2CNpTS2O02p99i7xL5P0WUnq\nUoxH1+JbKGmDpFmlrqPnsc04ny3pOknrJB3eUndMOV/LJB1TK+/YuRxpfJKeLuna8n68sSW+MyX9\npnYeZ400vtHGWerW12K5sFb+RElXlXHPlfSobsQo6bkt78kHJL2s1HX0XLYR47vK+2qppMslPalW\n15n3o+38bEY/wARgOTAD2BKYD+zV0uadwGfL9mHAhWV779J+S2DHMs6EdsYcwxifBjyubO8B3AmM\nL6/nAbMbcB57gCUDjLsY2LtsXwC8vBsxtrSZCfy69rpj53EYcfYAewJfAw6vlU8Hfg1MBbYu23/X\nyXM5yvh2Bp5Yth8P3AVsV16fWW/bzfNY6lYNMO73+84dcArwjm7FWGvzGOAeYHKnz2WbMT4bmFS2\n3wR8r9Pvx8ycNz/7Aktt32b7IeBc4MUtbV4MnFW2LwCeKWl8KT/X9kO2VwBLgWe0OeaYxGh7ke07\nAWwvoVodmjiKWDoe40ADSnoC1R8SC0rR2f2M2Y0YjwK+OYo4Rh2n7eW2FwMbWvo+D7jY9p9t3wdc\nDDyvw+dyxPHZ/qXt35Tt3wG3AaNeaeh0nAORtAWwH/C9UrTR35Ntxng48EPbq0cRy2hi/JntNeXl\nFcAOZbtj78ck583PjlT/QPRZUcr6bWN7A/BHqn9QBurbzphjFePDypLYYtv314rPLMtKH5E0mvf/\naGPskbSoLBcePIwxxzLGPkcA57SUdeo8thvncPt28lx2ZCxJzwAmAzfUij9Wlrs/L2m0f0SONs6J\nkhaUpdcjStn2wB/Ke2MkY3Y6xj5H8rfvyU6dy+HG+Aag7zJAx96PSc6xSZK0G3AScFyt+Ejbe1D9\nZTwb+NduxAb8HtjR9tOAfwPOkvToLsUyKEn7AqvLKkSfppzHRwxJ06lWKP6llujeA+xKdSlmEvCB\nLoXXZ0fbewOvAE6StGuX4+lXOZczgUtqxV05l5KOpvp/4JOdHjvJefOzgupaSp8dS1m/bcqs6LHA\n3YP0bWfMsYoRSTtSLcO9xvav+zrYvqP8vo/qH8p9uhGj7bW27y2xXAcsAZ7a5phjEmOt/m9mKB0+\nj+3GOdy+nTyXoxpL0lRgLvB+21f3ldu+05W1wJfo7nms/3e9BfgRsBfVNfJta6sjY/GeHMqrgO+W\nJWeg4+eyrRglHQK8Hzi07HewvsM+7iTnzc+1wB6SdpS0JdWS5Q9b2lwEvLpsvxS42va6Un6EpC1L\nAtyjjNfOmGMSo6RtqP4hfK/tK/saS9pC0mPK9pbAocCyLsX42L5/7FTdHb0H8CvbvwU2SNqr9Dm6\nnzHHJMYS2ziqfwgfvt68Ec5ju3EO5CfACyRNlbQ18ELgJx0+lyOOr9zZ/F3ga7a/1VK3ffkt4OV0\n8TxK2qb0QdJjgecAy8p74Wqq9wZU75WN/Z4cylG0/MHY4XM5ZIySng78D1VivqtW1bn3YyfubsvP\nI+sHeBHVzVw3AO8rZR8ubzSobqD6FtWM7mrgSbW+7yv9lgIvHGzMbsRI9Zfs/cDC2s/2wFbAdcAi\n4Jflf6xHdSnGw0u/3lL3ytqYs0vMy4BTKd/i16X/1gdSJev6eB0/j23GuQ/VTON+quviS2t9X1v6\n3UC1bNzxcznS+KiS2UMt78dZpe6ych5vBs4DtunWeQSeWd4Di6keDfuW2phPKu+NJSXOCV38b90D\n3A6Maxmzo+eyjRh/QvVJkL7/phfW+nbk/Ziv74yIiGiYLGtHREQ0TJJzREREwyQ5R0RENEySc0RE\nRMMkOUdERDRMknNERETDJDlHREQ0zP8HgWCGxpNME9kAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xc4a4be0>"
+       "<matplotlib.figure.Figure at 0x7f0e0637b390>"
       ]
      },
      "metadata": {},
@@ -357,9 +392,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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NhwBfl/SE0sfTgcOBZwG7AXO6aXtUabs38ElJ4/sxbkREDKF1KhkDLwHutX1GV4HtBbav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\nSUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xbfcdfd0>"
+       "<matplotlib.figure.Figure at 0x7f0e06314850>"
       ]
      },
      "metadata": {},
@@ -367,9 +402,9 @@
     },
     {
      "data": {
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\n",
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M5QbgPR1TmQOc0lwG7FO2j+kolNRiu832V6hGyHvW2l0PnCxp1CDEEBERAzCUyXFc7QGU\nUxt32n6EaopwlqT5wF3AHrZXUyW5H5TyG6lGYDcC+5SHVY7r5HhnABMlLQYuB06yvao3gdq+G/gP\n4PZyn/Qb/TrjyheAb0u6A3BD+afLwzsLqEav9e9+Owt4Ari3nPeJA4ghIiIGQOtnBmMkGTNpV0+a\nekazwxhS+W7ViBhskuba7vGz9vmGnIiIiJokx4iIiJokx4iIiJqs5zhCTd5hInNyTy4iYkhk5BgR\nEVGT5BgREVGT5BgREVGTe44jVNvDK2iZXv8egchnIyNiMGTkGBERUZPkGBERUZPkGBERUZPkGBER\nUTMskqOklbX3J0k6q2x/SFKvV6hobDvcSWqV9J/NjiMiIp5r2D+tavvsZscwVGzPAeY0O46IiHiu\nYTFy7I6kGZJOKduzJZ0p6S5J90k6qItm20u6UtJvJZ3Z0NdfS7q3vM6UpFK+UtLXJM2X9CtJL+kk\njnMlfVvSrZIekPQmST8scVzUUG9lw/axks4t2ydIWljWtryllB0i6YqyvYWkiyUtLmtWvnvgVy8i\nIvpjuIwcx5VFhjtsBczqou4Y2/tKOhD4IfDKTupMAfYC1gL3lwS5Fvg3YDKwAriWalHli4HNgDtt\nf1LSPwFfpFqIuW6i7QMlvbPEtz+wBLhL0r627+rmHD8HvMn2o5K26GT/vwEP2z4eQNLEegVJ0zri\nGj1h224OFRERAzFcRo6rbE/peAH/0k3dSwBs3wqMlbRdJ3VusL3S9tPAImBH4HWl/A+21wEXAQeX\n+u3ApWX7IqCrEWnHp+7bgEdsL7bdXo6xUw/neBNwgaQPAmM72X848OwUsu0V9Qq2z7Hdart19Pjn\n5c6IiBgkwyU59oV7eA+wumF7HX0/z876bOy3vXaM9oZjqKH82SRo+0NUo8dJwFxJW/cxpoiI2EBG\nYnI8FkDSAcDTth/vZbvbgEMlvVjSKKop1ZvKvlHAMWX7OODWAcT3hKRXl/uZR3cUSmqxfYftGcCj\nwM61dtcDH2yon6FhRESTjMTkuEbSncB5wPt728j2Q1TTtbcBi6nuFV5Sdj8JHFDuex5F99O6PflH\nqvuZtwCPNJSfUR60WQjcAcyttfsc8LLysNB8qmnWiIhoAtldzSAOP5JmA6eUj0AMZr8rbW8+mH0O\ntTGTdvWkqWc0O4xhJ188HhHdkTTXdmtP9UbiyDEiImJIDZePcvSK7UOGqN8RNWqMiIihNaKSY6w3\neYeJzMkUYkTEkMi0akRERE2SY0RERE2SY0RERE3uOY5QbQ+voGX6lT1XjD7JR0EiAjJyjIiIeJ4k\nx4iIiJokx4iIiJokx4iIiJqNJjlK+qKk+8uXey+Q9Lp+9nOSpLMGO74ujrW9pEt7rhkRERvSRvG0\nqqRDqFaxmGx7taQtgXHNjapntn9HWYIrIiKGj41l5Lgd8Ljt1QC2l9v+PwBJR0haKGmxpB9LGlvK\nl0rapmy3lhU/uiRphqTzJM2W9KCkd0k6XVKbpF/01K+kwyTNa3hNkNRSlrBC0iaSvilpSRn5fmJI\nrlRERPRoY0mO1wK7lMRytqTDASSNB34IHGV7d2A1MJCkswtwGNWajxcC19ueDKwAjuyh7aeAD9qe\nAhwAPFXb/zFgW2B323sB59Y7kDRN0hxJc9Y9tWIApxEREd3ZKJKj7RXAFOBvgUeBCyWdDOwJ3Gf7\ngVL1QuDgARzqGtvrgDaqa3ddKW8Dduqh7U3AmZI+Dmxre21t/+HAd223l3NaXu/A9jm2W223jh4/\ncQCnERER3dkokiOA7bW2b7D9eeCjwLt6aNLO+vMf28vDdEzbtgNrvH6l6Ma+Ou3X9qnAycAY4BZJ\nu/XymBERsYFtFMlR0isltTQUTQGWUY3oXilp51J+AtUIjrJ/n7J9zCCG02m/klpst9n+CnAn1ai2\n0fXAyZJGlfpbDmJMERHRBxtFcgS2AGaWB2+WAK8FPmd7FfA3wM8lLQY2A84sbb4AfFvSHYA767Sf\nuur30+XhnQXAOqD+xahnAU8A90qaD5w4iDFFREQfaP3MYIwkYybt6klTz2h2GBudfPF4xMZN0lzb\nrT3V21hGjhEREYMmyTEiIqJmo/iGnBeiyTtMZE6mACMihkRGjhERETVJjhERETVJjhERETW55zhC\ntT28gpbp9Y9KxkDloxwRARk5RkREPE+SY0RERE2SY0RERE2SY0RERE2PyVHSytr7kySdNXQhDY0S\n9/a9qHeupGM3UExHSZq+IY4VERG990J6WvUkYCHwuybH8Szbs4BZzY4jIiKea0DTqpJeKulKSQsk\nzZd0SCnfT9LtpfxuSXuU8ts7tsv72aXuryVtW8pGSfpNx/uGujMknVfaPCjpXZJOL8tA/ULS2FLv\ngHKctlJ3xzISbAV+JGmepHGlv7sk3Vf6Hd3Duc6W9HVJd0haUuL+qaQHJH2l1GmRtLChzSmSZpTt\nv5e0uFynS0rZs6NwSZMkXVOW3Vog6cCB/LeJiIj+601yHFcSyjxJ84B/bdj3LeDfbe8FHAl8X5KA\ne4HXl/LPAKeV+jOB90CVDIBJtu8ELgTeW+ocDsy3/XgnsewCHAYcVdpcb3sysAI4UtKLqNZFPLKU\nfxs4zfalwBzgvbanlHUev257X9uvKtehNwseP217/9Lv5cCHgVcD75P0kh7afhp4re3XUK0xWXc2\ncKXtPakWa26rV5A0TdIcSXPWPbWiF+FGRER/9GZadZXtKR1vJJ1ENQqDKpHtUuVDAMYCE4CtgIsl\ntQDtwLiy/xLgOuDzVEny0lL+A6pkcwbwfuCHXcRyje11ktqoEtp1pbwN2AnYC9gVuL7ENBp4rIu+\n3i7pFKprsDVwX9eX4FlXNBxvoe3HACT9BtgB+EM3bRcAF0i6Arisk/2HUv5wsN0O/LFewfY5wDlQ\nrefYi3gjIqIfBuOe4362n2kskPRt4GrbZ5UEORvA9sOSnpC0F3Ac8KFS/pCkRyUdCuzH+lFk3epS\nv13SGq9fqbmdKlmKatR5cHcBS9ocOBOYUmKaQe+uxeqG461uKO84fsfPDmMbtt8OvAF4B/BZSXvW\n+k6yi4gYJgb6UY7/Bj7Y8abhH/xxwP+V7b+qtZlJNdU60faChvLvUU2V/sT2un7GswB4maS9Szyb\nSNqt7FsFjC/bm1Alsj9IGgcM1tOpjwEvlbS1pE2pEiKSRgHb274RmE41ut6y1vYXwLSO+pK2GKSY\nIiKijwaaHD8EvLk8RLII+EQpPx04XdIcYEytzaXA8VRTrI1mAZvT9ZRqj2yvBt4NnC1pPjAfOKTs\nvgD4YblvurocZwlwLXBXf49ZO/7TwKnAPVRTvh1TtaOBmSWme4Bv2f59rfmHqe6bLgTuBiYPRkwR\nEdF3Wj8z2VxltPcN23lKsxfGTNrVk6ae0ewwNjr54vGIjZukubZbe6o3LD7nWD4IfzLVwzgRERFN\nNSy+Ps72qbZfYfuXzY4lIiJiWIwco+8m7zCROZkCjIgYEsNi5BgRETGcJDlGRETUJDlGRETU5J7j\nCNX28Apapl/Z7DCiC/lISMTIlpFjRERETZJjRERETZJjRERETZJjREREzUaZHCWtK4sz3ydplqQJ\nzY6pM5KOKl+dFxERw8hGmRwpCzTbfhXwJ+Bvmx1QZ2zPsn1qs+OIiIjn2liTY6ObgV0AJP2TpCXl\nNb2UtZT3F0haJOlKSZvVO5E0W9LXJd1R6u8n6aeSHpD0lYa+Fja0OaUspIykv5e0WNJ8SZeUspMk\nnVW2J0m6piz/tUBSVieJiGiSjfpzjpI2Ad4GzJb0eqp1JKcAAuZImg08ArwKOMn27ZK+C3wc+HIn\nXT5te39JHwcuB14DrAB+K+k/egjn08DOtld3sZDx2cCVtr9RFkfevJPzmUZZEHn0hG17OFxERPTX\nxjpyHFcWNZ4PPAp8CzgIuMz207ZXAT8DDi71H7J9e9m+qNTtzBXlZxuw0PZjZYHl3wA79BDTAuAC\nSSd2sf9Q4BwA2+22/1ivYPsc2622W0ePn9jD4SIior821pHjKttTGgskdVe/vuJzVytAry4/2xu2\nO96PavjZYWzD9tuBNwDvAD4rac9eHjMiIjawjXXk2JlbgKMljZE0FjgGuKnse5mk/cr2ccCt/TzG\nY8BLJW0taVOqhEiZJt3e9o3AdGACsGWt7S8oU6aSRnUx9RoRERvACyY52v4VMJNqqnUecKHtO8ru\n+4CPSVoE7ASc2c9jPA2cCtwDXFf6BRgNzJQ0v+z7lu3f15p/GDiyPNBzNzC5PzFERMTAyX5hz+ZJ\nagGusF2f5hzWxkza1ZOmntHsMKIL+eLxiOFJ0lzbrT3Ve8GMHCMiInprY30gp9dsLwVG1KgxIiKG\n1gs+OY5Uk3eYyJxM3UVEDIlMq0ZERNQkOUZERNQkOUZERNTknuMI1fbwClqmX9nsMGIjkI+dRDxf\nRo4RERE1SY4RERE1SY4RERE1SY4RERE1Izo5SlonaZ6k+yRdJam+0kVv+5ktqcfv2htskj7UzfqO\nERHRJCM6OVLWbbT9KuBx4CPNDqgvbJ9t+/xmxxEREc810pNjo9uAl8Oz6yF+Q9K95TW1o5Kkz0ta\nImm+pK80dlDanSvp3+qdS1oq6cuS5pbXPpKulvSgpL8rdQ6RdEVDm7MknVS2vyppcTnu10vZDEmn\nlO1XS7pF0oIyGn7F4F+iiIjojY3ic46SRgNvBm4sRccDrwT2AF4MtEm6AdgXeAvwGtura9OwmwA/\nAhba/lIXh3rQ9j4luZ0L7A9sBtwr6axu4tsOOALYw7a7WMj4YuCfbf+8LJS8aW/OPSIiBt9IHzmO\nkzQPeAR4GXB2KT8ImGm73fYTwA3AAcDhwLm2VwPYXt7Q13foPjECdIwK24DbbT9l+3HgKaC7+51/\nANYA35d0LPBM405J2wLb2P55iWuN7afqnUiaJmmOpDnrnlrRzeEiImIgRnpyXGV7CtV06lPAUQPo\n61fAmySN7abO6vKzvWG74/2ohp8dxgLYXks1yrwUeBtwTX8CtH2O7VbbraPHT+xPFxER0QsjPTkC\nUEZZnwC+JGkUcDPw7nIPcSvgUKp7ktcDJ0kaA1CbVv0+cBVwiaT+TjcvA/aQNKZMnR5WjrM5sLnt\nq4BPAnvX4n8ceFzSkaX+ppLG9zOGiIgYoI3iniOA7Xsk/QY4DpgJHAgsBgx81vYyYJmkKcACSauo\nRnDTG/r4mqSJwAWS3mu7vY8xPCDpcmAJcB9wT9k1AZhVku5oqgRZdwLVtOuXqaZgjwUe6MvxIyJi\ncMh2s2OIfhgzaVdPmnpGs8OIjUC+eDxeSCTNtd3j59o3imnViIiIwZTkGBERUZPkGBERUbPRPJDz\nQjN5h4nMyb2iiIghkZFjRERETZJjRERETZJjRERETe45jlBtD6+gZfqVzQ4jIgLY+D4vm5FjRERE\nTZJjRERETZJjRERETZJjRERETdOSo6SjJVnSbt3U2VLSRzZwXLMl9filtIN0rA9JOnFDHCsiInqv\nmSPHE4Ary8/nkTQa2BLYoMlxQ7J9tu3zmx1HREQ8V1OSY1n893XA31Ktv9hRfoikmyX9F7AQOBV4\nhaR5kr4qaUdJN5X3CyW9oZO+Z0i6S9J9ks4rSbZjRHiapNskLZXUsRDxeEmXS1os6afAuC5iXirp\ny5Lmltc+kq6W9KCkv2uI/4qGNmdJOqlsf7UcY76krzfEekrZfrWkWyQtKOf3ioFf6YiI6I9mfc7x\nncC1th+U9LikfWzPLfv2Bnaz/ZCkFmBP21MAJH0GuNL2aZIEbNZJ31+3PaPUvwA4Bri07JPtAyQd\nAfwLcAPwceAx2++UtAcwv5u4H7S9T0lu5wL7lxjulXRWV40kbQccAexh25K26KTaxcA/2/65pE2B\nTTvpZxowDWD0hG27CTMiIgaiWdOqJwCXlO1LeO7U6p22H+qi3e3AByTNAPa2vbKTOm+XdLekBcCh\nQOM9zcvLz7nATmX7YOAiANuLgAXdxN0xKmwDbrf9lO3HgaeopoC78gdgDfB9SccCzzTulLQtsI3t\nn5c41th+qt6J7XNst9puHT1+YjeHi4iIgdjgyVHSVlRJ6/uSlgKfAd5TRoIAT3bV1vZNwBuBZcD3\nJE2t9b0derP2AAAI80lEQVQ5cCZwpO29gO/y3NHx6vJzHevP3X0Iv6N9e8N2x/tRDT87jC1xr6Ua\nZV4KvA24pg/HjIiIDawZI8djgQtsv9x2i+2dgN9SjeDqVgHjO95I2gl4xPb3gO8D+9bqb0KVoP4g\naVw5Vk9uodz3lPRqYK8+nk+jZcAeksaUqdOO+5qbA5vbvgr4JNXU8bPK6PNxSUeW+ptKGk9ERDRF\nM+45ngCcViv7aSmf2Vho+9HycMq9VFOai4BTJK0BVgLvr9VfLumHwBLgQeCuXsRzJnCxpMXAYqop\n136x/YCky8vx7wPuKbsmALMkbQKMpkqQdSdQjaa/TDUFeyzwQH9jiYiI/pPdl1nFGC7GTNrVk6ae\n0ewwIiKAkfPF45Lm2u7xs+z5hpyIiIiaJMeIiIiarOc4Qk3eYSJzRsg0RkTESJORY0RERE2SY0RE\nRE2SY0RERE3uOY5QbQ+voGX6lc0OIyJig9pQHxnJyDEiIqImyTEiIqImyTEiIqImyTEiIqImybGP\nJFnShQ3vNykLNl/RXbtu+vuepN0HL8KIiBioPK3ad08Ce0oaZ3sV8Gbg4f52ZvsDgxZZREQMiowc\n++cqoON54hOAizp2SJoh6ZSG9wsltUiaIOkqSQtK2fFl/2xJrWX7aEltZZmuGzfg+URERIMkx/65\nGDhe0liqxZHv6EWbtwIP2t7L9p7Acz6kKGkScDZwhO0pwDH1DiRNkzRH0px1T60Y8ElERETnkhz7\nwfYCoIVq1HhVL5vNA/5c0mmS3mj7T7X9BwE32H6oHGN5J8c9x3ar7dbR4yf2/wQiIqJbSY79Nws4\nnYYp1aKd517XsQC27wdagTbgC5I+vyGCjIiIvkty7L8fAF+w3VYrXwbsDSBpCrBz2Z4ErLR9IVVS\n3bfW7mbgUEk7lfpbDmHsERHRjTyt2k+2lwH/2cmuS4CpkhYBtwP3l/K9gNMlrQXWAh+r9feIpI8A\n10haAzwBHDZU8UdERNeSHPvI9uadlM0GZpftlcAbO2m6FLi2k7aHNGxfBlw2KIFGRES/ZVo1IiKi\nJskxIiKiJtOqI9TkHSYyZwOtaxYR8UKTkWNERERNkmNERERNkmNERERNkmNERERNkmNERERNkmNE\nRERNkmNERERNkmNERERNkmNERESNbDc7hugHSX8C7mt2HP20DfD7ZgfRD4l7wxqpccPIjf2FEPfL\nbW/bU6V8fdzIdZ/t1mYH0R+S5ozE2BP3hjVS44aRG3viXi/TqhERETVJjhERETVJjiPXOc0OYABG\nauyJe8MaqXHDyI09cRd5ICciIqImI8eIiIiaJMeIiIiaJMdhQtJbJS2UdK+k6Z3sHyNpZqnzK0kt\nDfv+sbRbKOnPe9tnM+OW9BZJ90hqK/ve2tBmtqT7JM0rr+2GUdwtklY1xHZ2Q5t9yjktlvSfkjTY\ncQ8w9vc2xD1PUrukKWXfcLjmb5B0t6S1ko6t7ZtarutiSVMbyof8mvc3bkmvlXRn+R1fUov7XEm/\nbbjeUwY77oHEXvata4hvVkP5zpJuK/3OlPSi4RK3pDfVfseflnR02de3a247rya/gDHAUmAnYFNg\nDrB3rc6ngP8s28cAs8r2PqX+psCOpZ8xvemzyXG/BnhJ2d4TeBQYXd7PBlqH6fVuARZ20e8CYJ+y\nfTnwF8Mp9lqdycD/NLwfDte8BdgLOB84tqF8EvA/wARgi7L90g1xzQcY967AzmV7e+AxYNvy/tzG\nusPtmpd9K7vo9+cd1xk4E/jkcIq7oc5WwB+A8f255hk5Dg/7A4tsP2R7DTATeHutztuBC8r25cDr\nJY0u5TNtr7G9DFgE7NfLPpsWt+35th8FsL2QahZj7CDHN+hxd9WhpJdRJfe5pejCTvocDIMV+wnA\nxUMQX1d6jNv2UtsLgPZa2zcD19j+o+0/AdcAb95A17zfcdv+te3flu3fAQ8Bgz4i78ZArnmnJG0C\nHAD8VykaVte85ljgattP9SeIJMfhYUeq/3E6LCtlndax3Q48QfU/Wldte9PnQA0k7meVaZEFtp9s\nKD63TJV9UdJg/54ONO4WSfPL1NJhfehzMAzKNQeOAy6qlTX7mve17XD5He+RpP2A8cC9DcVfKtOt\n35Q0FH8YDjT2sZLmlmnr40rZdsDvy+9Vf/rsjcH673o8z/8d7/U1T3KMppK0O3AaMK2h+Hjbe1L9\nBdkK/E0zYuvC/wE72n4N8LfABZJe3OSY+kTS/sBTZcTeYThf8xFN0iSqkfxfNySVfwB2o7q9MA74\nXJPC686OtvcB3gWcJmm3ZgfUW+WaTwaubSju0zVPchwellHNr3fYsZR1Wqf8Vb818Hg3bXvT50AN\nJG4k7Ug1PXOi7f/paGD7kfLzT1T/qOw7XOK2vdr28hLf3cBC4NW97LOpsTfsf95f1MPkmve17XD5\nHe+SpAnAlcA/2769o9z2o66sBr7H4F9vGGDsDb8TDwDXAXtT3TfdpmFmYdhd8+I9wGVlWhbo+zVP\nchwe7gT2lLSjpE2ppryurtW5Cnhf2X4ncLvttaX8OEmblmSzZ+mvN302LW5JW1L9o/GPtm/tqCxp\nE0lble1NgaOAxcMo7q07/mFQ9RTonsBvbP8v0C5p79LmvZ302dTYS8yjqP7hePZ+4zC65l35b+Ct\nkiZI2gJ4G/DfG+ia9zvu8hTnZcD5tn9S27dd+SngLxj86w0Di33L0gZJWwNvBBaX36PbqX6voPo9\nGzbXvMEJ1P4A7PM1H8ynjPIa0BNaR1A9THMv8E+l7F+Bo8r2WOAnVCOV24FdGtr+U2m3CHhbd30O\nl7iBfwaeBOY1vLYDNgPuBuYDvwa+A7xoGMV9bGnXVva9u6HP1nIei4GzKN9ANVxiL/sOoUqWjf0N\nl2u+L9UI4Umq+6SLGtq+v7S7l2p6coNd8/7GTZU41tR+x6eUfTeW630/cAmwZZN+V7qK/fXl92cB\n1dJ4H23oc5fye7WwxD5muMRd9rUADwOjan326Zrn6+MiIiJqMq0aERFRk+QYERFRk+QYERFRk+QY\nERFRk+QYERFRk+QYERFRk+QYERFR8/8BOKNKkhP0kowAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xddc8eb8>"
+       "<matplotlib.figure.Figure at 0x7f0e0641ca50>"
       ]
      },
      "metadata": {},
@@ -405,8 +440,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 92,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -449,14 +486,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
-   "metadata": {},
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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lj6zBs2bNsvHjx9uwYcNs/PjxNmvWrJqPGQxNALv99tuXK7v99tvN23fNY9iwYbZ48eLl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\ngqBmQpkEQRAENfP/2UnTuawQiKUAAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xdb1cd68>"
+       "<matplotlib.figure.Figure at 0x7f0e06323ad0>"
       ]
      },
      "metadata": {},
@@ -498,14 +537,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 101,
-   "metadata": {},
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/hg190/istewart6/crisis_language/lib/python2.7/site-packages/matplotlib/axes/_axes.py:2818: MatplotlibDeprecationWarning: Use of None object as fmt keyword argument to suppress plotting of data values is deprecated since 1.4; use the string \"none\" instead.\n",
+      "  warnings.warn(msg, mplDeprecation, stacklevel=1)\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
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EYD0ggMmSbo2IZ2t8D2ZmZlbUWgLwNnnS7coSwCs1Ps/6wCMRMSUi3gAmANvW+NgtgFsi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\n6H9QWfeTqkdUpwAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xe4acc18>"
+       "<matplotlib.figure.Figure at 0x7f0e08eea990>"
       ]
      },
      "metadata": {},
@@ -513,15 +562,31 @@
     }
    ],
    "source": [
+    "# force y axis to be decimal format\n",
+    "# from matplotlib.ticker import ScalarFormatter\n",
+    "# for axis in [ax.xaxis, ax.yaxis]:\n",
+    "#     plt.ax.set_major_formatter(ScalarFormatter())\n",
     "# combined_assim_scores.loc[:, 'assim_score_log'] = combined_assim_scores.loc[:, 'assim_score'].apply(pd.np.log)\n",
     "assim_score_meds = combined_assim_scores.groupby('country').apply(lambda x: pd.np.median(x.loc[:, 'assim_score']))\n",
     "assim_score_errs = combined_assim_scores.groupby('country').apply(lambda x: 1.253*pd.np.std(x.loc[:, 'assim_score'])/(len(x)**.5))\n",
+    "y_ticks = [0.1, 0.25, 0.5, 1.]\n",
+    "f = plt.figure(figsize=(8, 5))\n",
     "plt.bar(X, assim_score_meds, color='c')\n",
     "plt.errorbar(X, assim_score_meds, yerr=assim_score_errs, fmt=None, color='k')\n",
+    "# plt.hlines(frac_lines, X.min(), X.max(), linestyles='--', label=frac_lines_str)\n",
     "plt.yscale('log')\n",
     "plt.xticks(X, c_names, rotation=45)\n",
+    "plt.yticks(y_ticks, ['%.2f'%(x) for x in y_ticks])\n",
     "plt.ylabel('Assimilation score', fontsize=label_size)\n",
+    "plt.xlabel('Country of origin', fontsize=label_size)\n",
     "plt.title('US immigrant assimilation', fontsize=title_size)\n",
+    "# add horizontal lines for fractions (1/2, 1/4)\n",
+    "frac_lines = [.5, .25]\n",
+    "frac_lines_str = ['%.2f'%(x) for x in frac_lines]\n",
+    "x_lim = [X.min()-1, X.max()+1]\n",
+    "for f in frac_lines:\n",
+    "    plt.plot(x_lim, [f, f], color='k', linestyle='--')\n",
+    "plt.xlim(x_lim)\n",
     "plt.show()"
    ]
   },
@@ -534,8 +599,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
-   "metadata": {},
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -568,6 +635,7 @@
     "p_val = 0.05\n",
     "N = len(c_names)\n",
     "p_val_fixed = p_val / ((N*(N+1))/2)\n",
+    "combined_assim_scores.loc[:, 'assim_score_log'] = pd.np.log(combined_assim_scores.loc[:, 'assim_score'])\n",
     "for i in range(len(c_names)):\n",
     "    c_i = c_names[i]\n",
     "#     print(c_i)\n",
@@ -585,6 +653,116 @@
     "                  (c_i, c_j, median_diff, test_stat, p_val))"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": [
+    "## Compare with other assimilation metrics\n",
+    "Let's compare this ranking of immigrant groups with the following metrics:\n",
+    "\n",
+    "1. KL divergence\n",
+    "2. cosine similarity\n",
+    "3. Spearman rank correlation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.0"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cosine([1,1,1],[1,1,1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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EWLGT6yZLIGcCC5d585N11D+oLLdq+YH7Cg1Vx8xk/AeTVRcbkFU3/yqJYRGy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\nIas0NiLv0/xYwzHtTV4UtJm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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f0e067e12d0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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b17Fc237o9YEwo92ADciSwejywX29JIK5gXnITP+OGre/DlnPegBwSvlRG0XW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\nrkJggg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f0e08909510>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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Lo8u6qqnAr0tV0/+T9GdgNeC3Q8VmZmadNzMlhk2Ba4F39PNYAIMlhpuAtSWNBh4BdgcO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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f0e0614bc10>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "from itertools import izip\n",
+    "from scipy.stats import entropy, spearmanr\n",
+    "from scipy.spatial.distance import cosine\n",
+    "cosine_sim = lambda x,y: 1 - cosine(x,y)\n",
+    "spearmanr_simple = lambda x,y: spearmanr(x, y)[0]\n",
+    "KL_inverse = lambda x,y: 1 - entropy(x,y)\n",
+    "sim_metrics = [KL_inverse, spearmanr_simple, cosine_sim]\n",
+    "sim_metric_names = ['inverse_KL', 'Spearman_corr', 'cosine_sim']\n",
+    "X = np.arange(len(c_names))\n",
+    "top_dest_pct = 0\n",
+    "for sim_metric, sim_metric_name in izip(sim_metrics, sim_metric_names):\n",
+    "    sim_scores = []\n",
+    "    for c_name, c_data in immigrant_source_data.groupby('country'):\n",
+    "        c_source = c_data[c_data.loc[:, 'group_name'] == '%s_native'%(c_name)]\n",
+    "        c_source_pct = c_source.loc[:, count_var_pct]\n",
+    "        # restrict to relevant interests\n",
+    "        dest_source_diff = dest_pct - c_source_pct\n",
+    "        dest_source_diff_cutoff = np.percentile(dest_source_diff, top_dest_pct)\n",
+    "        dest_source_diff_interests = dest_source_diff[dest_source_diff > dest_source_diff_cutoff].index\n",
+    "        c_immigrant = c_data[c_data.loc[:, 'group_name'] == '%s_immigrant'%(c_name)]\n",
+    "        c_immigrant_pct = c_immigrant.loc[:, count_var_pct]\n",
+    "        dest_pct_focus = dest_pct.loc[dest_source_diff_interests]\n",
+    "        c_immigrant_pct_focus = c_immigrant_pct.loc[dest_source_diff_interests]\n",
+    "        sim_score = sim_metric(dest_pct_focus, c_immigrant_pct_focus)\n",
+    "        sim_scores.append((c_name, sim_score))\n",
+    "    # plot scores\n",
+    "    c_names, sim_scores = zip(*sim_scores)\n",
+    "    plt.bar(X, sim_scores)\n",
+    "    plt.title('Interest similarity based on %s'%(sim_metric_name))\n",
+    "    plt.ylabel(sim_metric_name)\n",
+    "    plt.xticks(X, c_names, rotation=45)\n",
+    "    plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/src/analysis/compare_assimilation_by_state.ipynb b/src/analysis/compare_assimilation_by_state.ipynb
index b0b6783..2af02d5 100644
--- a/src/analysis/compare_assimilation_by_state.ipynb
+++ b/src/analysis/compare_assimilation_by_state.ipynb
@@ -10,8 +10,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -34,9 +36,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/hg190/istewart6/crisis_language/lib/python2.7/site-packages/pandas/core/indexing.py:357: 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",
+      "/hg190/istewart6/crisis_language/lib/python2.7/site-packages/pandas/core/indexing.py:537: 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"
+     ]
+    }
+   ],
    "source": [
     "# per-state MX generation 1\n",
     "state_mx_1 = pd.read_csv('../../data/query_results/hispanic_MX_all_state_music_interests.tsv', \n",
@@ -160,8 +183,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
-   "metadata": {},
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -229,6 +254,26 @@
     "                                                 summary_func=pd.np.median)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Write to file for later #plots."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "assim_scores_med.loc[:, 'state'] = assim_scores_med.index\n",
+    "assim_scores_med.to_csv('../../data/query_results/assim_scores_med_per_state_immigrant_group.tsv',\n",
+    "                        sep='\\t', index=False)"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -239,7 +284,9 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from mpl_toolkits.basemap import Basemap\n",
@@ -319,7 +366,9 @@
   {
    "cell_type": "code",
    "execution_count": 74,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -468,7 +517,9 @@
   {
    "cell_type": "code",
    "execution_count": 53,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -610,6 +661,7 @@
    "cell_type": "code",
    "execution_count": 58,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1353,6 +1405,7 @@
    "cell_type": "code",
    "execution_count": 65,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
@@ -1414,7 +1467,9 @@
   {
    "cell_type": "code",
    "execution_count": 60,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1494,7 +1549,9 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1951,7 +2008,9 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2705,7 +2764,9 @@
   {
    "cell_type": "code",
    "execution_count": 72,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -2745,7 +2806,9 @@
   {
    "cell_type": "code",
    "execution_count": 73,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2890,7 +2953,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": []
   }
@@ -2911,7 +2976,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.15"
+   "version": "2.7.10"
   }
  },
  "nbformat": 4,
diff --git a/src/analysis/compare_demographic_assimilation.ipynb b/src/analysis/compare_demographic_assimilation.ipynb
index 30951bf..444b9fe 100644
--- a/src/analysis/compare_demographic_assimilation.ipynb
+++ b/src/analysis/compare_demographic_assimilation.ipynb
@@ -4,14 +4,16 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Compare expat subpopulation assimilation\n",
+    "# Compare demographic assimilation\n",
     "In which we compare rates of expat population assimilation among sub-populations of expats."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 216,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -45,11 +47,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
+   "execution_count": 2,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/hg190/istewart6/crisis_language/lib/python2.7/site-packages/pandas/core/indexing.py:537: 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",
+      "/hg190/istewart6/crisis_language/lib/python2.7/site-packages/pandas/core/indexing.py:357: 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"
+     ]
+    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -109,8 +130,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 202,
-   "metadata": {},
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -127,8 +150,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 203,
-   "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -199,8 +224,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 204,
-   "metadata": {},
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "dest_data = pd.read_csv('../../data/query_results/US_native_white_music.tsv', sep='\\t', index_col=False)\n",
@@ -221,8 +248,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 217,
-   "metadata": {},
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -232,13 +261,26 @@
       "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"
+      "  d_data.sort_values('interest_name', inplace=True, ascending=True)\n"
      ]
     },
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -305,7 +347,7 @@
        "Alternative metal         Mexican American (community)  "
       ]
      },
-     "execution_count": 217,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -326,25 +368,30 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Plot demographic distributions"
+    "## Plot demographic distributions\n",
+    "Let's also save the data for later."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 206,
-   "metadata": {},
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": true
+   },
    "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",
+    "def plot_demo_combo_scores(expat_scores, boxplot=False, save_data=False, data_prefix=''):\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",
+    "    if(save_data):\n",
+    "        combined_data = []\n",
     "    for i, (d_name, d_data) in enumerate(expat_scores.groupby('demo_name')):\n",
     "        r = int(i / cols)\n",
     "        c = i % cols\n",
@@ -375,6 +422,15 @@
     "        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",
+    "        if(save_data):\n",
+    "            data_i = pd.DataFrame([d_score_medians, med_errs]).transpose().rename(columns={0:'median_score',1:'median_err'}, inplace=False).assign()\n",
+    "            data_i.loc[:, 'demo_name'] = d_name\n",
+    "            data_i.loc[:, 'demo_val'] = d_demo_vals\n",
+    "            combined_data.append(data_i)\n",
+    "    if(save_data):\n",
+    "        combined_data = pd.concat(combined_data, axis=0)\n",
+    "        combined_data.to_csv('../../data/query_results/%s_demo_assim_scores.tsv'%(data_prefix),\n",
+    "                             sep='\\t', index=False)\n",
     "    # clean extra axes\n",
     "    if(i < cols*rows-1):\n",
     "        for j in range(i+1, cols*rows):\n",
@@ -386,14 +442,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 218,
-   "metadata": {},
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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kZN76PZ83+hefN3pO0lLtjsEJTuscCNwAnAUs1jUraQ9J/5T0nKSHJR2Vl68u6Q+Snpb0pKTrJA3J617r3pQ0QdKFks7LdcyStKmk4yQ9LulBSbsV9jdV0mdrBSnplFz+WUkzJe2Yl+8OfAPYT9ICSbdW1yVpiKRvSpqT93uOpJXyug5JIekgSQ9Imi9pfL3Gqtcmed0YSbfkGO/NsSFpHUmX5ba6R9LnCttMkHRRbqNngYNzvMfmOp6Q9BtJq+byw3LZJ3L73yRpzS4e33fmeJ+SdKakYbme2yV9pBDH0vnYR9U45lXy4z0v1/MHSesV1m8oaVpuk6sk/UzSeYX175L09xzvrcWhiNy1fF/e9n5JY7s4Fus/fN7weaPL80Ze/3VJj0iaK+mzuc02zuuWlfSj3H6PSTpV0nJ53U6SHpL0tdz2j0g6pFDvarltnpV0I7BR1X43k3Rlbru7JX2isO4sSb+Q9CdJzwM7d/X49ImI8KUFF+Ae4AjgHcBCYM3CukeAHfPtVYC359snAKcCS+fLjoDyutnArvn2BOAl4IOkYcZzgPuB8Xm7zwH3F/Y3Ffhsvn0w8NfCuk8Dq+V6vgY8Cgwr7Oe8quMq1vWZfJxvBlYALgbOzes6SJ9CfwksR+pyfxnYvE571WuTbYFngA+QEvJ1gc3yumuBnwPDgFHAPGCXQuwLgb3zdssB/0V681gPWBY4Dbgglz8M+D0wHFgqP24r1ol1NnA7sD6wKvA34Pt53deByYWyY4BZdepZDdgn73MEcCFwaWH99cCPgGWA9wDPVh6P3A5PAHvk4/tAvr8GsHwu+5Zcdm1gy3a/JnzxeSPf9nmjd+eN3XN7b5n3e25us43z+h8Dl+V9jMjxnZDX7QS8Anw3P+Z7AC8Aq+T1vwZ+QzqHbAU8XHnc87IHgUPy4/52YD753EJKyp8B3p3bbli9x6fPXk/tfkGX8UJ6M1oIrJ7v3wV8pbD+gfzCWLFqu+8Cv6s8UavWzWbxE9WVhXUfARYAS+X7I/ITfuV8fyp1TlQ19vMUsE1hP12dqK4Gjiise0s+7qG8fqJar7D+RmD/Ovut1yanASfXKL8+sAgYUVh2AnBWIfZpVdvcST6R5ftrF+L9DPB3YOsGHt/ZwOGF+3sA9+bb6wDPVY4DuAj4eoPPm1HAU/n2BqQT0fDC+vN4PcE5hvymUFg/hfSpf3ngaVLytFy7Xw++NHbxecPnjUbOG8AZ5IQl3984t9nGgIDngY0K67cnJ66kBOdFYGhh/ePAu0gJ2kJyIpjX/YDXE5z9gOtqtPPx+fZZwDmNPD59dfEQVWscBFwREfPz/fNZvLt5H9KTe46kayVtn5efRPpkc4XS8MKxXezjscLtF4H5EbGocB/Sp6Mu5a7KOyU9I+lpYCVg9e62y9YB5hTuzyG96ItdtI8Wbr/QRUz12mR94N46+34yIp6r2v+6hfsPVm0zErgkdyU/TTpxLcrxnktKEH6du31/KGnpOrFW1z0nx0NEzCV9MttH0srAh4DOWhVIGi7ptNxV/ywwDVhZaey6cnwv1NnnSGDfyrHk43kPsHZEPE86GR0OPCLpj5I26+JYrH/weeN1Pm/UOW/kbYr1FG+vQerVmVmI9895ecUTEfFK4X6lfdcgPQ7VMVaMBLarOueMBdaqEwvUf3z6hBOcJstjnZ8A3ifpUUmPAl8BtpG0DUBE3BQRY4A3AZeSugSJiOci4msR8WbSp6uvStqlhbHuSOoJ+ASpi3JlUhejcpHopoq5pCd9RaXX4bHaxeur1yakF8xGNTaZC6wqaUTV/h8uVlu1zYPAhyJi5cJlWEQ8HBELI+I7EbEFsAOwJ2k+RD3rV+13buH+2aQu/H2B6yOiGFPR10ifXreLiBWB9+blInXtrippeJ19PkjqwSkey/IR8d8AETElIj5A+rR5F6nL3/opnzd83qDx88YjpOGyWnXOJyWqWxZiXSkiuk1aSUN1r9SIseJB4NqqdlghIj5fKLNY23Xx+PQJJzjNtzcpu9+CNOQwCtgcuA44UNIyksZKWikiFpLmSiwCkLSnpI0lqbB8Ua2dNMkI0hN6HjBU0reBFQvrHwM6lCcs1nAB8BWlybArkLozJ1d9OuhWV20CnA4cImkXpcl+60raLCIeJHUNn6A00W9r4FDqf+qBNE9hoqSReb9rSBqTb+8s6a259+RZUldtV21/pKT1lCYbfgOYXFh3KWl8+sukeQ71jCCdjJ7O9RxfWRERc4AZwITcPtuT3rwqzgM+IumDkpbKbbBTjmlNSXtJWp40f2FBN8di7efzhs8bjZ43fpOPbfP8AejblRUR8Srpw8zJkt6UY1xX0ge7qK+y7SLSfKgJSr3LW7B4D+IfgE0lHaA0CXppSe+UtHmt+rp5fPqEE5zmOwg4MyIeiIhHKxfgp6TuPIADgNlKwxKHk7J2gE2Aq0hvSNcDP4+IqS2MdQpwOfAvUlfkSyzexXhhvn5C0j9qbH8GqYt2Gmmy4kvAF3sYS802iYgbSZPaTiZ9SryW1z/9fZI0Zj8XuIQ0FnxlF/s4hTT57gpJz5EmDm6X161FGvd+ltQFfS0piajnfOAK4L58+X5lRUS8CPwW2JB0wqjnx6RJjPNzLH+uWj+WNH7+RK5/MilhIZ+ox5BOkvNIj9vRpNf0EFLv0FzgSeB9pImr1n/5vNEzg+68ERGXAz8B/kIamrw+r6r8ZtIxefkNuV2uIvUUN+ILpOGqR0lzas4s7Pc5YDdgf1LbPQqcSJp4XU+952yfqMy0N7Mmyp9qN43Cj501oc7JwF0RcXy3hc1swOnJeSP3oNwOLLukvWBl5x4csybL3c+HApN6Wc87JW2Uu9h3J/XYXNqMGM2sf1mS84akj+YhoFVIvSi/d3LzRk5wzJpI6UfDHgQuj4hpvaxuLdLXaxeQuqQ/HxE397JOM+tnenDeOIw0NH0vaV7L57suPjh5iMrMzMxKxz04ZmZmVjqD5o/EVl999ejo6Gh3GGaDwsyZM+dHxBrdlywHn1/M+k6j55dBk+B0dHQwY8aMdodhNihImtN9qfLw+cWs7zR6fvEQlZmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0Wprg5D8BvFnSH/L990v6h6TbJZ0tqctJzvnPA2+RdIekawvLZ0ualdd5Zp8NeJ2d0NEBQ4ak686u/vrPzMy61eoenC+T/oCM/M+yZwP7R8RWpD9pO6jehpJWBn4O7BURW5L+Qr5o54gYFRGjWxK5WR/p7IRx42DOHIhI1+PGOcnpS/nD1B/aHYeZNU/LviYuaT3gw8BE4KvAasDLEfGvXORK4DjS39rX8ing4oh4ACAiHm9VrDa47Hfa9d0X6kPTp8OIMTCiavn4q+GyBW0Jqa7Jh23f7hBsEOrshPHj4YEHYIMNYOJEGDu2++1scGtlD86Pga8Dr+b784GlJVV6XD4OrN/F9psCq0iaKmmmpAML64L01/UzJY2rV4GkcZJmSJoxb968nh+JWQu99NKSLbfaJHVIukvSr/IweKekXSX9TdK/JW2bL3/PQ+d/l/SWGvUsL+kMSTflcmPacTyWuIfTeqolPTiS9gQej4iZknYCiIiQtD9wsqRlgSuArv79dCjwDmAXYDngekk35B6gd0fEXElvAq6UdFetPyiLiEnkf2YdPXq0/3TLgP7XC9FxQjppVxs5Eiaf3/fxDHAbk4azxwE3kXqC3wPsBXwDOBB4b0S8ImlX4AfAPlV1jAeuiYjP5KHyGyVdFRHP9za4/tZ7OBAMpB7O/q6/nftarVU9OO8G9pI0G/g18H5J50XE9RGxY0RsC0wD/t1FHQ8Bf46I5yNifi6/DUBEzM3XjwOXANu26DjMWm7iRBg+fPFlw4en5bbE7o+IWRHxKnAHcHWkfxSeBXQAKwEXSrodOBnYskYduwHHSrqF9G/uw4ANqgu5h7hvuIfTeqolPTgRcRxpfg25B+eoiPi0pDdFxOO5B+cY0vycen4H/DR/02oZYDtS78/ywJCIeC7f3g34biuOw6wvVOYSeI5BU7xcuP1q4f6rpPPd94C/RMRHJXWQEphqAvaJiLu72lFPeogH2yfoZnAPp/VUX/8OztGS7gRuA34fEdfUKxgRdwJ/zmVvBH4VEbcDawJ/lXRrXv7HiPhz60M3a52xY2H2bHj11XTt5KZlVgIezrcPrlNmCvBFSQKQ9LY+iMvqcA+n9VTL/2wzIqaSPyVFxNHA0Uuw7UnASVXL7iMPVZmZLaEfAmdL+ipQ7wPW90hfkrgtJzmzgT37Jjyr5h5O6yml4enyGz16dPjffs36hqSZg+k3qnx+Mes7jZ5fWt6D0x1Jh5B+ELDobxFxZDviMTMzs4Gv7QlORJwJnNnuOMzMzKw8/GebZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjotSXAkDZN0o6RbJd0h6Tt5+fsl/UPS7ZLOljS0gbreKWmRpI8Xlv0w13unpJ9IUiuOw6xZOjuhowOGDEnXnZ3tjsjMrNxa1YPzMvD+iNgGGAXsLmkH4Gxg/4jYCpgDHNRVJZKWAk4EphSW7QC8G9ga2Ap4J/C+VhyEWTN0dsK4cTBnDkSk63HjnOSYmbVStz0oPRERASzId5fOl0XAyxHxr7z8SuA44PQuqvoi8FtSEvNa9cAwYBlAue7Hmha8DXj7nXZ9u0NYzPTpMGIMjKhaPv5quGxBzU3aZvJh27c7BDOzpmjZHBxJS0m6BXiclMzcCCwtaXQu8nFg/S62Xxf4KHBqcXlEXA/8BXgkX6ZExJ116hgnaYakGfPmzevtIZn1yEsvLdlyMzPrvZb04ABExCJglKSVgUuALYH9gZMlLQtcAbzSRRU/Bo6JiEXFKTaSNgY2B9bLi66U9N6ImFYjhknAJIDRo0dH74/KBoL+1gvRcUIalqo2ciRMPr/v4zEzGwxa/i2qiHgamArsHhHXR8SOEbEtMA34dxebjgZ+LWk2qbfn55L2JvXq3BARCyJiAXA58K5WHoNZb0ycCMOHL75s+PC03MzMWqNV36JaI/fcIGk5YFfgLklvysuWBY6havipKCI2jIiOiOgALgKOiIhLgQeA90kaKmlp0gTjmkNUZv3B2LEwaVLqsZHS9aRJabmZmbVGq4ao1gbOzt+CGgL8JiL+IOkkSXvmZb+IiGt6UPdFwPuBWaQJx3+OiN83K3CzVhg71gmNmVlfatW3qG4D3lZj+dHA0T2o7+DC7UXAYb2Jz8zMzMrNv2RsZmZmpdOyb1E1StIhwJerFv8tIo5sRzxmZmY28LU9wYmIM4Ez2x2HmZmZlYeHqMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6bQkwZG0vqS/SLpT0h2SvpyXbyPpekmzJP1e0opd1LGtpFvy5VZJHy2s+0qu93ZJF0ga1orjsMGtsxM6OmDIkHTd2dnuiMzMrFGt6sF5BfhaRGwOvAs4UtIWwK+AYyPircAlwNFd1HE7MDoiRgG7A6dJGippXeBLed1WwFLA/i06DhukOjth3DiYMwci0vW4cU5yzMwGiqGtqDQiHgEeybefk3QnsC7wFmBaLnYlMAX4Vp06XijcHQZE4f5QYDlJC4HhwNymHoC1xH6nXd/uEBo2fTqMGAMjqpaPvxouW9CWkJbI5MO2b3cIZmZt1fI5OJI6gLcB00m9MnvlVfsC63ez7XaS7gBmAYdHxCsR8TDYTLkJAAAgAElEQVTwI+ABUhL1TERcUWf7cZJmSJoxb968ZhyODRIvvbRky83MrH9RRHRfqqeVSysA1wITI+JiSZsBPwFWAy4DvhQRqzVQz+bA2cB7geWA3wL7AU8DFwIXRcR5XdUxevTomDFjRm8OxwaRjo40LFVt5EiYPbuvoxl4JM2MiNHtjqOv+Pxi1ncaPb+0rAdH0tKkRKQzIi4GiIi7ImK3iHgHcAFwbyN1RcSdwPPAVsCuwP0RMS8iFgIXAzu04hhs8Jo4EYYPX3zZ8OFpuZmZ9X+t+haVgNOBOyPifwvL35SvhwDfBE7too4NJQ3Nt0eS5u/MJg1NvUvS8LyfXYA7W3EcNniNHQuTJqUeGyldT5qUlpuZWf/XkknGwLuBA4BZkm7Jy74BbCLpyHz/YuDMLup4D3Bsnkj8KnBERMwH5ku6CPgH6dtaNwOTWnAMNsiNHeuExsxsoGrVt6j+CqjO6lMarONc4Nw6644Hju9ZdGZmZlZ2/iVjMzMzK51WDVE1TNIHgROrFt8fER+tVd7MzMysO21PcCJiCukH/8zMzMyawkNUZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjotS3AknSHpcUm3F5ZtI+l6SbMk/V7Sil1s/wFJM3PZmZLeX1j3ybz8Nkl/lrR6q47D+kZnJ3R0wJAh6bqzs90RmZnZQNbKHpyzgN2rlv0KODYi3gpcAhzdxfbzgY/ksgcB5wJIGgqcAuwcEVsDtwFfaG7o1pc6O2HcOJgzByLS9bhxTnLMzKznhraq4oiYJqmjavFbgGn59pXAFOBbdba/uXD3DmCYpGWBVwEBy0t6AlgRuKd5kVsz7Hfa9Q2XnT4dRoyBEVXLx18Nly3ofvvJh22/ZMGZmVnp9fUcnNuBvfLtfYH1G9xuH+DmiHg5IhYCnwdmAXOBLYDTa20kaZykGZJmzJs3r3eRW8u89NKSLTczM+tOy3pw6vgM8BNJ3wYuA/7T3QaStgROBHbL95cmJThvA+4D/g84Dvh+9bYRMQmYBDB69OhoziFYI5akV6XjhDQsVW3kSJh8fhODMjOzQaNPe3Ai4q6I2C0i3gFcANzbVXlJ65Hm6hwYEZWyo3Jd90ZEAL8Bdmhh2NZiEyfC8OGLLxs+PC03MzPriT5NcCS9KV8PAb4JnNpF2ZWBPwLHRcTfCqseBraQtEa+/wHgztZEbH1h7FiYNCn12EjpetKktNzMzKwnWjZEJekCYCdgdUkPAccDK0g6Mhe5GDiziyq+AGwMfEtSZSLybhExV9J3gGmSFgJzgINbcAjWh8aOdUJjZmbN08pvUX2yzqpTGtz++9SYV5PXnUoXvT9mZmY2uPmXjM3MzKx0+vpbVG8g6YOkb0kV3R8RH21HPGZmZjbwtT3BiYgppB/8MzMzM2sKD1GZmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMys35P0JUl3SupsUf0TJB3VirrNrD2c4JjZQHAEsEdEjG13IGb9TWcndHTAkCHpurMlHwMGnqHtDsDMrCuSTgXeDFwm6dfARsBbSeevCRHxO0kHA3sDSwFbAf8DLAMcALxMSo6elPQ5YFxedw9wQES8ULW/jYCfAWsALwCfi4i7Wn6gZj3Q2QnjxsEL+Vk8Z066DzB2kH8caFmCI+kMYE/g8YjYKi/7HjAGeBV4HDg4IubW2X4z4Ezg7cD4iPhRYd1XgM8CAcwCDomIl1p1LFZbZyeMHw8PPAAbbAATJ/oFZc0XEYdL2h3YGfgqcE1EfEbSysCNkq7KRbcC3gYMIyUvx0TE2ySdDBwI/Bi4OCJ+CSDp+8ChwP9V7XIScHhE/FvSdsDPgfe39iit3fY77fp2h9Aj06fDiDEwomr5+KvhsgVtCanHJh+2fVPra+UQ1VnA7lXLToqIrSNiFPAH4NtdbP8k8CXgR8WFktbNy0fnxGkpYP9mBW2NqXxqmDMHIl7/1OCuUWux3YBjJd0CTCUlMxvkdX+JiOciYh7wDPD7vHwW0JFvbyXpOkmzgLHAlsXKJa0A7ABcmPdxGrB2rUAkjZM0Q9KMefPmNev4zJbIS3U+2tdbPpi0rAcnIqZJ6qha9mzh7vKkHph62z8OPC7pwzVWDwWWk7QQGA7U7AXqiYGaxfe1Mn1qaIdmf1IZRATsExF3L7Yw9bS8XFj0auH+q7x+rjsL2Dsibs3DWjtV1T8EeDp/COtSREwi9fYwevTouucyGxgG6muy44T0AbPayJEw+fy+j6c/6fNJxpImSnqQ9Ompqx6cmiLiYVKvzgPAI8AzEXFFnX35E1aL+FODtckU4IuSBCDpbUu4/QjgEUlLk85Bi8kfwu6XtG+uX5K26WXMZi0zcSIMH774suHD0/LBrs8nGUfEeGC8pOOALwDHL8n2klYhzePZEHia1JX86Yg4r8a+lvgT1kDN4vuaPzVYm3yPNJfmtpzkzCbN9WvUt4DpwBzS0FV1JySkxOcXkr4JLA38Gri1FzGbtUxl3qPnQ76RIlrXs5qHqP5QmWRctW4k8Mda66rKTQAWVCYZ509Wu0fEofn+gcC7IuKIruoZPXp0zJgxoyeHYTVUz9yH9Klh0iS/sAwkzYyI0e2Oo6/4/GLWdxo9v/TpEJWkTQp39wJ68tXLB4B3SRqeP8HtAtzZjPiscWPHpmRm5EiQ0rWTGzMz6y9a+TXxC0gT+FaX9BBpKGoPSW8hTfqbAxzexfZrATOAFYFXJf0XsEVETJd0EfAP4BXgZvIwlPWtsWOd0JiZWf/Uym9RfbLG4tOXYPtHgfXqrDueJZy7Y2ZmZoOH/6rBzMzMSqftf9Ug6RDgy1WL/xYRR7YjHjMzMxv4Wvotqv5E0jzSvJ+urA7M74NwmmGgxOo4m2ugxPmWiKj1FexSavD80g4D5fnSW4PhOAfDMUJjxzkyItborqK29+D0lUYaQ9KMgfLV1oESq+NsroEUZ7tj6EuNnF/aYaA8X3prMBznYDhGaO5xeg6OmZmZlY4THDMzMysdJziLG0i/pzNQYnWczeU4bUkMlsdhMBznYDhGaOJxDppJxmZmZjZ4uAfHzMzMSmdQJziSTpJ0l6TbJF0iaeU65XaXdLekeyQd24Y495V0h6RXJdWdXS5ptqRZkm5p17dYliDWdrfpqpKulPTvfL1KnXKLcnveIumyPoqty7aRtKykyXn99Pyntn2ugTgPljSv0H6fbUecg8kSPK83kHSFpDsl/bNdz6Ge6s+v32Zp9Bhz2RUlPSzpp30ZYzM0cpySRkqamR/HOyTV/ZunokGd4ABXAltFxNbAv4DjqgtIWgr4GfAhYAvgk5K26NMo4XbgY8C0BsruHBGj2vh1wm5j7SdteixwdURsAlyd79fyYm7PURGxV6uDarBtDgWeioiNgZOBE1sdV7UleAwnF9rvV30a5ODU6PP6HOCkiNgc2BZ4vI/ia5Z++fptskaPEeB7wLV9ElXzNXKcjwA7RMQoYDvgWEnrdFfxoE5wIuKKiHgl372B2v99tS1wT0TcFxH/AX4NjOmrGAEi4s6IuLsv99lTDcba9jbN+zs73z4b2LuP919PI21TjP0iYBdJ6sMYoX88hvZG3T6vcyI6NCKuBIiIBRHxQt+F2BT99fXbTA0do6R3AGsCV/RRXM3W7XFGxH8i4uV8d1kazF0GdYJT5TPA5TWWrws8WLj/UF7WHwVwRe7KG9fuYLrQH9p0zYh4BCBfv6lOuWGSZki6QVJfnEQbaZvXyuQE/RlgtT6IrWYMWb3HcJ88BHyRpPX7JrRBrZHn9abA05IulnRzHqpfqk+j7L3++vptpm6PUdIQ4H+Ao/s4tmZq6LGUtL6k20jnnRMjYm53FZf+l4wlXQWsVWPV+Ij4XS4zHngF6KxVRY1lTf/qWSNxNuDdETFX0puAKyXdFRGNDGstkSbE2vY2XYJqNsht+mbgGkmzIuLe5kRYUyNt0yft141GYvg9cEFEvJzHzM8G3t/yyEquCc/rocCOwNuAB4DJwMHA6c2Ir1kG6Ot3iTThGI8A/hQRD/Z9J27jmvFYRsSDwNZ5aOpSSRdFxGNdbVP6BCcidu1qvaSDgD2BXaL2d+YfAoqfPNcDus0cl1R3cTZYx9x8/bikS0jDCE1PcJoQa9vbVNJjktaOiEckrU2dOQiFNr1P0lTSm0IrT5CNtE2lzEOShgIrAU+2MKZauo0zIp4o3P0lbZgrVEZNeF4/BNwcEfflbS4F3kU/S3AG6Ot3iTThGLcHdpR0BLACsIykBRHR51/c6EozHstCXXMl3UFK0i/qquygHqKStDtwDLBXF2PQNwGbSNpQ0jLA/kC/m40vaXlJIyq3gd1IE377o/7QppcBB+XbBwFv6HmStIqkZfPt1YF3A/9scVyNtE0x9o8D19RJzlup2zjzyapiL+DOPoxvsOr2eU167FaRVPn/rPfT+ud1s/XX128zdXuMETE2IjaIiA7gKOCc/pbcNKCRx3I9Scvl26uQHsvu56VGxKC9APeQxvNuyZdT8/J1SN1+lXJ7kL5ldS9pGKav4/wo6VPXy8BjwJTqOIE3A7fmyx3tiLPRWPtJm65GmrH/73y9al4+GvhVvr0DMCu36Szg0D6K7Q1tA3yXlIgDDAMuzM/fG4E3t+mx7i7OE/Jz8VbgL8Bm7YhzMF0aeV7n+x8AbsvP67OAZdode7OPs12v375+LAvlDwZ+2u64W/RYVp6vt+brcY3U7V8yNjMzs9IZ1ENUZmZmVk5OcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgmNmZmal4wTHzMzMSscJjpmZmZWOExwzMzMrHSc4ZmZmVjpOcMzMzKx0nOCYmZlZ6TjBMTMzs9JxgtPHJN0haacebnu5pIPy7YMl/bUXcbxW12AlabakXZtQz06SHmpGTGZm1hxD2x3AQCBpKrANsFZEvNybuiJiy15s+6GebCdpArBxRHy6t3WZmZkNBO7B6YakDmBHIIC92hqMIclJuZmZdcsJTvcOBG4AzgIWG9KRtIekf0p6TtLDko7Ky1eX9AdJT0t6UtJ1kobkda8Ni0iaIOlCSeflOmZJ2lTScZIel/SgpN0K+5sq6bO1gpR0Si7/rKSZknbMy3cHvgHsJ2mBpFur65I0RNI3Jc3J+z1H0kp5XYekkHSQpAckzZc0vl5j1WuTvG6MpFtyjPfm2JC0jqTLclvdI+lzhW0mSLoot9GzwME53mNzHU9I+o2kVXP5YbnsE7n9b5K0ZheP7ztzvE9JOlPSsFzP7ZI+Uohj6Xzso7qoq1K2Ettzue6PFtYdLOmvkn6U93m/pA8V1m8oaVre9ipJP5N0Xl73hqGwqufTtpKuz8f9iKSfSlqmUHY3SXdLekbSzyVdW3w+SfqMpDtzXFMkjezuWM3M+isnON07EOjMlw9WvVmeDhwWESOArYBr8vKvAQ8BawBrkhKMqFP/R4BzgVWAm4EppMdlXeC7wGkNxnkTMApYFTgfuFDSsIj4M/ADYHJErBAR29TY9uB82Rl4M7AC8NOqMu8B3gLsAnxb0uZ14qjZJpK2Bc4BjgZWBt4LzM7bXEBqr3WAjwM/kLRLoc4xwEV5u07gS8DewPvyNk8BP8tlDwJWAtYHVgMOB16sEyvAWOCDwEbApsA38/JzgE8Xyu0BPBIRt3RRV8W9pF6/lYDvAOdJWruwfjvgbmB14IfA6ZKU150P3JhjnwAc0MD+KhYBX8n1bk96rI6AlHST2vC4XPfdwA6VDSXtTXqefoz0vL2O9LiYmQ1ITnC6IOk9wEjgNxExk/TG9alCkYXAFpJWjIinIuIfheVrAyMjYmFEXBcR9RKc6yJiSkS8AlxIenP574hYCPwa6JC0cnexRsR5EfFERLwSEf8DLEtKSBoxFvjfiLgvIhaQ3gT31+LDQd+JiBcj4lbgVtKcpFrqtcmhwBkRcWVEvBoRD0fEXZLWJyVPx0TESzmB+BWLv7FfHxGX5u1eBA4DxkfEQ3lO1ATg4znehaQ38I0jYlFEzIyIZ7s49p9GxIMR8SQwEfhkXn4esIekFfP9A0iJaLci4sKImJvjnQz8G9i2UGRORPwyIhYBZ5OeK2tK2gB4J/DtiPhPRPwVuKyRfeb9zoyIG/JzYDYpOX5fXr0HcEdEXJyfaz8BHi1sfhhwQkTcmdf/ABjlXhwzG6ic4HTtIOCKiJif75/P4sNU+5DeOObk7v7t8/KTgHuAKyTdJ+nYLvbxWOH2i8D8/MZXuQ+pR6VLkr6WhxeekfQ0qfdg9e62y9YB5hTuzyFNQC/2VhXfDF/oIqZ6bbI+KUGste8nI+K5qv2vW7j/YNU2I4FL8lDM08CdpN6LNUlJyBTg15LmSvqhpKXrxFpd95wcDxExF/gbsE9OMD9E6j3qlqQD81BcJb6tWPyxeK0tI+KFfHMFXm+LFwplq4+9q/1uqjQ0+mgezvtBYb/rFOvKCXdxuGskcEoh5icBsfjjYGY2YDjBqUPScsAngPflN4xHSd3/20jaBiAiboqIMcCbgEuB3+Tlz0XE1yLizaQhqK9WDbk0O9YdgWNyvKtExMrAM6Q3KKg/PFYxl/QGV7EB8AqLJ18NqdcmpDfXjerse1VJI6r2/3Cx2qptHgQ+FBErFy7Dcq/Qwoj4TkRsQRqC2ZM0zFjP+lX7nVu4fzZpmGpfUi9SMaaaco/HL4EvAKvlx+J2Xn8suvIIqS2G14nveeC1dZKWIvX4VfwCuAvYJCJWJA05Vfb7CLBeYVsV75Pa9LCqNl0uIv7eQNxmZv2OE5z69ib1CmxBmtsyCticNDfhQEnLSBoraaU8nPRsLo+kPSVtnN9EKssX1dpJk4wgJSTzgKGSvg2sWFj/GGmoq97jfQHwlTzBdQVen7PzypIE0VWbkObmHCJpF6VJwutK2iwiHgT+DpygNEF4a9JwVle9JacCEyvDJ5LWkDQm395Z0lvzm/+zpCGrrtr+SEnrKU1S/gYwubDuUuDtwJdJc3IasTwpIZuX4zmE1IPTrYiYA8wAJuS23J6UIFf8Cxgm6cO5V+qbpKHIihGkY14gaTPg84V1fwTeKmnvPJR3JLBWYf2pwHGStsxxryRp3waP2cys33GCU99BwJkR8UBEPFq5kCbfjs1lDgBm5+GAw3l9UuomwFXAAuB64OcRMbWFsU4BLie9Ac4BXmLxoY0L8/UTkv7BG51BGtqZBtyft/9iD2Op2SYRcSNwCHAyqXfpWl7vNfok0EHqPbkEOD4iruxiH6eQ5qZcIek50rfctsvr1iJNpn2WNHR1LWk+TT3nA1cA9+XL9ysr8nyf3wIbAhd3e+Rpm38C/0N63B8D3koa6mrUWNIE4SdyLJOBl3Pdz5AmDf+K1MP1PIsPMx1FmiP2HKkX6bVkLQ+z7kua1PwEKXGfUaj7EuBE0tDes6ReJ/9WkpkNWKo/99XMcm/YpsUfSezj/U8G7oqI45tc7xBScjQ2Iv7SzLrNzPoD9+CY1ZGHrQ4FJvXhPt8paaM8jLc76Svylzap7g9KWlnSsrw+P+eGZtRtZtbfOMExq0HpxwYfBC6PiGl9uOu1gKmk4c2fAJ+PiJubVPf2pG+yzSfN7dk7D8OZmZWOh6jMzMysdNyDY2ZmZqXjBMfMzMxKZ9D8M/Pqq68eHR0d7Q7DbFCYOXPm/IhYo/uSZmatMWgSnI6ODmbMmNHuMMwGBUlzui9lZtY6HqIyMzOz0nGCY2ZmZqXjBMfMzMxKp0cJjqTxku6QdJukWyRt1/1WS1R/l/9gLGlBM/dnZmZm5bLECU7+h+M9gbdHxNbAriz+x469FhE7NLO+/qqzEzo6YMiQdN3Z1f9nm5mZWcN60oOzNjA/Iir/Qjw/IuZKmi3pREk35svGAJI+Imm6pJslXSVpzbx8gqQzJE2VdJ+kL1V2UOmhkbS2pGm5l+h2STsWykyUdKukGyp1DiSdnTBuHMyZAxHpetw4JzlmZmbN0JOviV8BfFvSv4CrgMkRcW1e92xEbCvpQODHpJ6evwLvioiQ9Fng68DXcvnNgJ2BEcDdkn4REQsL+/oUMCUiJkpaChiely8P3BAR4yX9EPgc8P0eHMsb7Hfa9c2oplvTp8OIMenAi8ZfDZf10QDc5MO275sdmZmZ9bElTnAiYoGkdwA7kpKTyZKOzasvKFyfnG+vl8usDSwD3F+o7o+5J+hlSY8DawIPFdbfBJwhaWng0oi4JS//D/CHfHsm8IFasUoaB4wD2GCDDZb0UFvqpZeWbLmZmZk1rkc/9BcRi0j/eDxV0izgoMqqYrF8/X/A/0bEZZJ2AiYUyrxcuL2oOp6ImCbpvcCHgXMlnRQR5wAL4/V/CX3DdoXtJwGTAEaPHt3Qv4r2Va9GxwlpWKrayJEw+fw+CcHMzKy0ejLJ+C2SNiksGgVU3qr3K1xXxnpWAh7Otw9iCUgaCTweEb8ETgfevqTx9lcTJ8Lw4YsvGz48LTczM7Pe6UkPzgrA/0laGXgFuIc0DLQnsKyk6aTE6ZO5/ATgQkkPAzcAGy7BvnYCjpa0EFgAHNiDePulsWPT9fjx8MADsMEGKbmpLDczM7Oe0+sjPb2sSJoNjI6I+U2psMlGjx4d/i8qs74haWZEjG53HGY2ePmXjM3MzKx0mvZv4hHR0ay6zMzMzHrDPThmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMysdJzhmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMysdJzhmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMysdJzhmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMysdJzhmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMysdJzhmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMysdJzhmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMysdJzhmZmZWOk5wzMzMrHSc4JiZmVnpOMExMzOz0nGCY2ZmZqXjBMfMzMxKxwmOmZmZlY4THDMzMyudXiU4khZJuqVwObYXdS3I1+tIuqiLch2Sbu/pfswGu85O6OiAIUPSdWdnuyMyM2u+ob3c/sWIGNWUSLKImAt8vJl1mlnS2QnjxsELL6T7c+ak+wBjx7YvLjOzZuttglOTpNnA2cBHgKWBfSPiLklrAOcDqwE3AbsD74iI+YVtO4A/RMRWkrYEzgSWIfU27QMsBJaS9EtgB+BhYExEvNiKYzHr7/Y77fqGy06fDiPGwIiq5eOvhssWdL/95MO2X7LgzMzapLdzcJarGqLar7BufkS8HfgFcFRedjxwTV5+CbBBN/UfDpySe4lGAw/l5ZvA/7d37zF2lHUYx79PuQgNoiiCaG1XIyrejasRQSFEjbeA4D3VwD/WBE008RIMfylBjEajxEtcLxFi0SoSrYgiIt4RXaREoBoQAatF0XhrBLXl5x9n1GWt3XPY2XOWd7+fZDNz5szM824v6dOZd/bwoap6DPAnBsXnfyTZkGQ2yextt912t75BqSV33DHadkm6p1rKW1QXdMsrgZO69aOBEwGq6mtJ/rjA+S8HTk+yBrigqq5PAvDLqtoy5/xTuzu4qmaAGYDp6ela+NuR7nlGuaoyddbgttR869bBpvN6HJQkTdhSPkX19265i/8WqYxygqo6DzgeuB24OMlx8849//yS9uDMM2H16rtuW716sF2SWjLux8S/B7wMIMlzgIP2tHOShwE3VtXZwGbg8Us+Qqlh69fDzMzgik0yWM7MOMFYUnsWe+Vj/yRb5rz+WlXt6VHxtwOf6ebqfBvYDvx1D/u/HHhVkn8CtwLvAA5c5JilFW39eguNpPalanxTU5LcC9hVVTuTHAl8pO/HzP+f6enpmp2dHUeUtOIlubKqpic9Dkkr17jnrqwFPpdkFfAP4DVjzpckSSvAWAtOVV0PPGmcmZIkaeXxs6gkSVJzLDiSJKk5FhxJktQcC44kSWqOBUeSJDXHgiNJkppjwZEkSc2x4EiSpOZYcCRJUnMsOJIkqTkWHEmS1BwLjiRJao4FR5IkNceCI0mSmmPBkSRJzbHgSJKk5lhwJElScyw4kiSpORYcSZLUHAuOJElqjgVHkiQ1x4IjSZKaY8GRJEnNseBIkqTmWHAkSVJzLDiSJKk5FhxJktQcC44kSWqOBUeSJDXHgiNJkppjwZEkSc2x4EiSpOZYcCRJUnMsOJIkqTkWHEmS1BwLjiRJao4FR5IkNceCI0mSmmPBkSRJzbHgSJKk5lhwJElScyw4kiSpORYcSZLUHAuOJElqjgVHkiQ1x4IjSZKaY8GRJEnNseBIkqTmWHAkSVJzLDiSJKk5FoqQSPwAAAazSURBVBxJktQcC44kSWqOBUeSJDXHgiNJkppjwZEkSc2x4EiSpOZYcCRJUnMsOJIkqTkWHEmS1BwLjiRJao4FR5IkNceCI0mSmmPBkSRJzVmw4CTZlWRLkquT/CTJ07vtD0pyfrd+bJILu/Xjk5y2tMO+y/j+ky1JkgTDXcG5vaqeWFVPAN4GnAVQVb+pqpfM37mqNlfVu3oep3S3bdwIU1OwatVguXHjpEckSVpqo96iOhD4I0CSqSTXzN8hySlJPtitfyrJ2Ul+kOTGJC/ptq9K8uEk1ya5MMlFc967KcnB3fp0km9160/tznNVt3zk3f6utWJs3AgbNsDNN0PVYLlhgyVHklq39xD77J9kC7AfcBhw3IgZhwFHA48CNgPnAycBU8DjgEOArcAnFzjPz4BnVtXOJM8C3gm8eMSx6B7i5R+9vJfzXHEF3PsEuPe87adfCpt3LP78m1575OJPIknq3TAF5/aqeiJAkiOBc5M8doSML1bVncB1SQ7tth0NfL7bfmuSy4Y4z32Ac5IcDhSwz0IHJNkAbABYu3btCENWK+64Y7TtkqQ2DFNw/qOqLu9uHz1ghMP+Pmc985a7s5P/3jrbb872M4DLqurEJFPAtxYKrqoZYAZgenq6hhuuloO+roxMnTW4LTXfunWw6bxeIiRJy9BIc3CSPArYC/jDInO/B7y4m4tzKHDsnPduAp7crc+9BXUf4Nfd+imLzNcKceaZsHr1XbetXj3YLklq1zAFZ//uMfEtwCbg5KratcjcLwDbgGuAjwJXAH/u3ns78IEk3wXm5rwbOCvJ9xmULGlB69fDzMzgik0yWM7MDLZLktqVqsncuUlyQFXtSHJ/4EfAUVV161LlTU9P1+zs7FKdXtIcSa6squlJj0PSyjXSHJyeXZjkvsC+wBlLWW4kSdLKMrGCU1XHTipbkiS1zc+ikiRJzbHgSJKk5kxskvG4JbkN2M1PRFlSBwO/H3Om+csnfzmMYVL566pqlJ+XJUm9WjEFZxKSzE7ySRLzJ5u/HMYw6XxJmhRvUUmSpOZYcCRJUnMsOEtrxvwVnQ+TH8Ok8yVpIpyDI0mSmuMVHEmS1BwLTo+SvDTJtUnuTLLHJ1eS7JXkqiQXjjM/yUOSXJZka7fvG8aZ3+333CQ/T3JDktP6yu/Ofb8klyS5vlse9H/2e3c31q1Jzk6SMWavTfL1Lvu6JFOLzR51DN2+Byb5dZIP9pUvScuFBadf1wAnAd8ZYt83AFsnkL8TeFNVHQE8DXhdkkePKz/JXsCHgOcBjwZe2WM+wGnApVV1OHBp93r+GJ4OHAU8Hngs8BTgmHFkd84F3tP9HjwV+F0P2aOOAeAM4Ns9ZkvSsmHB6VFVba2qny+0X5I1wAuAj487v6q2V9VPuvW/MihZDx5XPoN/0G+oqhur6h/AZ4ET+sjvnACc062fA7xoN/sUsB+DD3q9F7AP8NtxZHdlbu+qugSgqnZU1d96yB56DN04ngwcCny9x2xJWjYsOJPxfuCtwJ2THER3a+RJwBVjjH0w8Ks5r7fRU8HqHFpV22FQ5oBD5u9QVZcDlwHbu6+Lq6qPq2kLZgOPAP6U5ILuFuV7uqtafVlwDElWAe8F3tJjriQtKxP7NPF7qiTfAB64m7dOr6ovDXH8C4HfVdWVSY4dd/6c8xwAfAF4Y1X9ZYz5u5vrMtKjfHsaw5DHPxw4AljTbbokyTOrasFbi4vNZvB37hkMiuUtwCbgFOATQx7fxxhOBS6qql/1MPVIkpYlC86IqupZizzFUcDxSZ7P4DbJgUk+XVWvGlM+SfZhUG42VtUFoxzbQ/424CFzXq8BftPXGJL8NslhVbU9yWHsfn7LicAPq2pHd8xXGcxHWrDg9JC9Dbiqqm7sjvlilz10welhDEcCz0hyKnAAsG+SHVXV64RvSZokb1GNWVW9rarWVNUU8Argm8OWmz50Twt9AthaVe8bV+4cPwYOT/LQJPsy+DXY3OP5NwMnd+snA7u7qnQLcEySvbuydwz9TPgeJvvHwEFJ/v1BlMcB1/WQPfQYqmp9Va3t/gy+GTjXciOpNRacHiU5Mck2Bv9D/kqSi7vtD0py0TLJPwp4NXBcki3d1/PHlV9VO4HXAxczKBWfq6pr+8jvvAt4dpLrgWd3r0kyneTfk7rPB34B/BS4Gri6qr48juyq2sWgVFya5KcMbtl9rIfsoccgSSuBP8lYkiQ1xys4kiSpORYcSZLUHAuOJElqjgVHkiQ1x4IjSZKaY8GRJEnNseBIkqTmWHAkSVJz/gVZ9eqPUdXtFAAAAABJRU5ErkJggg==\n",
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w3uKOhFTX9MN363QIZmYt0bYxOLkr6UZgAXAlcA0wQtL4PMsBwBYNlt8M2B/4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\nseBIkqTm/BeQZLDuD1W+wQAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1e11d860>"
+       "<matplotlib.figure.Figure at 0x7fba1e3886d0>"
       ]
      },
      "metadata": {},
@@ -401,9 +459,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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Z3HJ95/quZn2Xp++W66p3c921QWHaRpIey+UZBSxYmPaxLs68v1fNrwdKOlPSpJz3WEn9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\np/EHNPdznTTG/JKkPlgbg9CBwKer6pqqunH4QXMD7PD9K28Hrk9yF02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Ae4Dj2+4ygPe1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\nrkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x12969978>"
+       "<matplotlib.figure.Figure at 0x7fba1ed24ad0>"
       ]
      },
      "metadata": {},
@@ -411,9 +469,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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+JlUtrwYQES+TGs7/lbQCsAcwsiwDScsrXa3xsqS3SA3U0pL6AqsCb0TEzBplDgb2rxxL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\nRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x1b071be0>"
+       "<matplotlib.figure.Figure at 0x7fba1eec7c10>"
       ]
      },
      "metadata": {},
@@ -423,7 +481,7 @@
    "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",
+    "    plot_demo_combo_scores(g_data, boxplot=False, save_data=True, data_prefix=g_name)\n",
     "    plt.suptitle(g_name, fontsize=title_size, y=1.05)\n",
     "    plt.show()"
    ]
@@ -438,7 +496,9 @@
   {
    "cell_type": "code",
    "execution_count": 219,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -588,7 +648,9 @@
   {
    "cell_type": "code",
    "execution_count": 220,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from scipy.stats import kruskal, f_oneway\n",
@@ -614,7 +676,9 @@
   {
    "cell_type": "code",
    "execution_count": 224,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -683,7 +747,9 @@
   {
    "cell_type": "code",
    "execution_count": 222,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1057,7 +1123,9 @@
   {
    "cell_type": "code",
    "execution_count": 67,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from scipy.stats import ttest_rel, ttest_1samp\n",
@@ -1083,7 +1151,9 @@
   {
    "cell_type": "code",
    "execution_count": 68,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -1158,7 +1228,9 @@
   {
    "cell_type": "code",
    "execution_count": 121,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import utils\n",
@@ -1204,7 +1276,9 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "def norm_demo_combo_data(data, include_demo_val=False):\n",
@@ -1251,7 +1325,9 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1513,7 +1589,9 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1534,7 +1612,9 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# compute source, dest percents\n",
@@ -1556,7 +1636,9 @@
   {
    "cell_type": "code",
    "execution_count": 21,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "def compute_all_expat_scores(source_pct, dest_pct, mx_1_data,\n",
@@ -1599,7 +1681,9 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -1622,7 +1706,9 @@
   {
    "cell_type": "code",
    "execution_count": 23,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1718,7 +1804,9 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1746,7 +1834,9 @@
   {
    "cell_type": "code",
    "execution_count": 25,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1775,7 +1865,9 @@
   {
    "cell_type": "code",
    "execution_count": 26,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1946,7 +2038,9 @@
   {
    "cell_type": "code",
    "execution_count": 27,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2080,7 +2174,9 @@
   {
    "cell_type": "code",
    "execution_count": 28,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2182,7 +2278,9 @@
   {
    "cell_type": "code",
    "execution_count": 29,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2351,7 +2449,9 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2484,7 +2584,9 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -2525,7 +2627,9 @@
   {
    "cell_type": "code",
    "execution_count": 32,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -2542,7 +2646,9 @@
   {
    "cell_type": "code",
    "execution_count": 33,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2711,7 +2817,9 @@
   {
    "cell_type": "code",
    "execution_count": 34,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2851,7 +2959,9 @@
   {
    "cell_type": "code",
    "execution_count": 35,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2960,7 +3070,9 @@
   {
    "cell_type": "code",
    "execution_count": 36,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -3008,7 +3120,9 @@
   {
    "cell_type": "code",
    "execution_count": 37,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -3037,7 +3151,9 @@
   {
    "cell_type": "code",
    "execution_count": 38,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -3107,7 +3223,9 @@
   {
    "cell_type": "code",
    "execution_count": 39,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -3336,7 +3454,9 @@
   {
    "cell_type": "code",
    "execution_count": 40,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -3517,7 +3637,9 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -3557,7 +3679,9 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -3694,7 +3818,9 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -3711,7 +3837,9 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -3779,7 +3907,9 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -3920,7 +4050,9 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# renormalize source data to match state data\n",
@@ -3931,7 +4063,9 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4014,7 +4148,9 @@
   {
    "cell_type": "code",
    "execution_count": 22,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4282,7 +4418,9 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4368,7 +4506,9 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# adapted/stolen from https://github.com/matplotlib/basemap/blob/master/examples/fillstates.py\n",
@@ -4447,7 +4587,9 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4496,7 +4638,9 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4552,7 +4696,9 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4599,7 +4745,9 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4690,7 +4838,9 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import unicodedata\n",
@@ -4739,7 +4889,9 @@
   {
    "cell_type": "code",
    "execution_count": 205,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import utils\n",
@@ -4776,7 +4928,9 @@
   {
    "cell_type": "code",
    "execution_count": 212,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -4892,7 +5046,9 @@
   {
    "cell_type": "code",
    "execution_count": 210,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -4948,7 +5104,9 @@
   {
    "cell_type": "code",
    "execution_count": 213,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -5362,7 +5520,9 @@
   {
    "cell_type": "code",
    "execution_count": 219,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -5548,7 +5708,9 @@
   {
    "cell_type": "code",
    "execution_count": 230,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -5830,7 +5992,9 @@
   {
    "cell_type": "code",
    "execution_count": 30,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# compute assimilation\n",
@@ -5844,7 +6008,9 @@
   {
    "cell_type": "code",
    "execution_count": 31,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -5924,7 +6090,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": []
   }
@@ -5945,7 +6113,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.15"
+   "version": "2.7.10"
   }
  },
  "nbformat": 4,
diff --git a/src/analysis/compare_generational_assimilation.ipynb b/src/analysis/compare_generational_assimilation.ipynb
index 33b96ff..c9b0fe9 100644
--- a/src/analysis/compare_generational_assimilation.ipynb
+++ b/src/analysis/compare_generational_assimilation.ipynb
@@ -11,7 +11,9 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -35,7 +37,9 @@
   {
    "cell_type": "code",
    "execution_count": 12,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "mx_interest_data = pd.read_csv('../../data/query_results/US_MX_interest_native_music.tsv',\n",
@@ -57,7 +61,9 @@
   {
    "cell_type": "code",
    "execution_count": 13,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "count_var = 'mau_audience'\n",
@@ -83,7 +89,9 @@
   {
    "cell_type": "code",
    "execution_count": 14,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from utils import compute_assimilation\n",
@@ -97,7 +105,9 @@
   {
    "cell_type": "code",
    "execution_count": 15,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -128,7 +138,9 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -245,7 +257,9 @@
   {
    "cell_type": "code",
    "execution_count": 18,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -315,7 +329,9 @@
   {
    "cell_type": "code",
    "execution_count": 19,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -367,7 +383,9 @@
   {
    "cell_type": "code",
    "execution_count": 20,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -617,7 +635,9 @@
   {
    "cell_type": "code",
    "execution_count": 24,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -725,7 +745,9 @@
   {
    "cell_type": "code",
    "execution_count": 147,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -777,9 +799,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'mx_interest_data' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-3-cee836e5d371>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     20\u001b[0m \u001b[0;31m# ethnic_group_data = [simplify_audience_output(d) for d in ethnic_group_data]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     21\u001b[0m \u001b[0;31m# source_data = simplify_audience_output(source_data)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 22\u001b[0;31m \u001b[0mshared_interests\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmx_interest_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'interest_name'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munique\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtolist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     23\u001b[0m \u001b[0;31m# fix min-count problem\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     24\u001b[0m \u001b[0mMIN_COUNT\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'mx_interest_data' is not defined"
+     ]
+    }
+   ],
    "source": [
     "import pandas as pd\n",
     "from itertools import izip\n",
@@ -832,7 +868,9 @@
   {
    "cell_type": "code",
    "execution_count": 55,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -935,25 +973,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
-   "metadata": {},
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [],
    "source": [
     "import utils\n",
     "reload(utils)\n",
     "from utils import clean_pop_data\n",
+    "import pandas as pd\n",
     "# reload everything to be safe\n",
-    "white_data = pd.read_csv('../../data/query_results/US_native_white_music.tsv',\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_native_black_music.tsv',\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_native_Hispanic_music.tsv',\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_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",
+    "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_native_MX_community_music.tsv',\n",
     "                                  sep='\\t', index_col=False)\n",
@@ -986,8 +1027,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 181,
-   "metadata": {},
+   "execution_count": 21,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -999,9 +1042,9 @@
     },
     {
      "data": {
-      "image/png": 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avKamJisfoVNUW1vrZuYtLS2+ePHiTHp9fb3PnTvX29raPJVKZXW8UqmUL168\nOFN+ervJGuOGii2J60Ociseqkcao2tpa7+7udiATh7q6ury2tjaznBSfyhHHio1TZT8Baxr+FAJC\nUtD6YJ78s4G3AVcCDwPzhig/E1DCciZI5gStc4CfAGcCzbH1t8S2fSdwSZj/ANEVvF+Gdpwa0ncC\nzwvzLwf6wnw8aP0FqM1p598BvwYuADoK7M/pRFcjtzQ3N/u+LpVK+cDAQGY+PQG+Z88eHxgYcDPL\nukvl7g747t27M+l79uzx3bt3O+ADAwOZMvYF8UA8mimvc6d7R0fHmNYb/xykpd/Hcik2cGmaGJNi\nVabsIWOV4lR+8fiUXt6zZ08mFsXzxPOll9PrUqmUP/zww4npSefJdF53z9puMhpRvApxKh6rShGf\n0nEo9/tFUnwqRxwrNk7pGayJaQ9Qn5M2HXgiKbO7P+zuPe5+GvBTosAyah6NOX83UAv0m9mL0qty\ns5rZIcAK4FXu/hLgB0RXEdP+Gl6fJfnZwNwycfd7gXbgDuA8Mzs3Tzu/7O7t7t4+e/bs4nZuEmtt\nbaW/vz8z39zczJw5cwBYu3Yt/f39LFiwgAULFgB7f9XHzFi1ahVTp07N5F21ahVmRn9/P3PmzKG2\ntrYMe1QexZxgC03lrjf+OUjr7++ntbV1xG0TyaFYRXGxSnEqv9bWVmpqali7dm1mee3atVkxp7m5\nOfMMVTpfWvq5qubmZpYvX55Jnzp1KnPnzqW1tZVUKvutTKVSLF++PFN+ervJHONKFa9GEpdqa2vp\n7u4G9sahVatWUVtbm1lOik8VHcdGG6w1lWciGsf9yjA/HbgHaE3I92qgLszXA3cD/zRE2Zso7qpg\nSyzP1cCSsP4poBkw4HqiK5IvIboamAJmAX8EloVtdwKzwnw7sCnML2PvVcHvkz3sop5orPt+Ie2E\ndLsKTRp6oWewSoESDtVLVOAOVqnq1TNYmsZjUqwafqxSnMqmZ7DG3lCxJXF9njtYI6FnsDRVzAQc\nDtwWAsGdwLti684AzgjzZxONS99O9FDuR2L5tuUpu9ig9UWiK3LbgauIxrZ3Ej04vJ7BDw5/A7gf\n2Ah8d5hB68Cw3Q6isfavBF4X6v8F0UPH/zjUcVPgivT09GTGnc+fP98bGhoGBZ7q6mpfsWKFH3ro\noUPe0k/n3VeMNIgUXcY4dLDcsz8HbW1tZe1cubs6WJNwUqwafqxSnBqsp6cnK05VVVVlLuylz109\nPT1ZnaMF10dDAAAgAElEQVThTtXV1Zkv+fGLiOnlyRzjhootietL2MFyjzpZ8eMNe5+fKxSfxjuO\nFRunLMorUhpm1kn0APMJ5W5Lkvb2dt+yZUu5myETnJkx2nNnwTLWzKBz00vZtGnT+NZbZma21d3b\nh84pMjqVHKsUp2S8DRUXEteHOAVkYtVo40slx6e0YuNU9VAZREQk23gEgC996UtjUm6lBy8RERlf\nI40LpY5Tkyk+qYMlJeXum4iGbYjIKBxyyCHlboLIpKVYJTJ6ilP56VcERUQq0LXXXlvuJoiIiOR1\n7bXXKlbloQ6WiEiZmFniBLB48eJB6TNnzixzi0VEZF+UL07FY5Vi1F4aIigiUgaFxpp3dnbS0cGg\nH7kQEREZb/niVcemTkCxKonuYImIiIiIiJSIOlgiIiIiIiIlog6WiIiIiIhIiegZLBGRCnPllVeW\nuwkiIiIFKVblpw6WiEiFaWpqKncTREREClKsyk9DBEVEKsxVV13FVVddVe5miIiI5KVYlZ/uYImI\nVJhLL70UgJNPPrnMLREREUmmWJWf7mCJiIiIiIiUiDpYIiIiIiIiJaIOloiIiIiISImogyUiIiIi\nIlIi+pELEZEKc/XVV5e7CSIiIgUpVuWnDpaISIWZNWtWuZsgIiJSkGJVfhoiKCJSYdatW8e6devK\n3QwREZG8FKvy0x0sEZFRaGhoYNeuXaMux8+djp33eFbaO97xDmbOnMljjz026vJFRGRslSoeVJqk\n+ARQXV3NkUceybJly8a/URVOd7BEREZh165duPuoJyAz39HRQUdHB+4+KYO1iMhkVKp4UGkTkJj+\nzDPPlPmIVy51sEREREREREpEHSwREREREZESUQdLRCTGzMrdhHGxr+yniEwuOndJXKV+HobsYJmZ\nm9k3YsvVZvawmW0YSYVmttjMzhnJtsOs5/DQ9tePYR0HmVlZ/gmAmd1sZjPKUfdomNkZZvavYX6Z\nmR0UW/dVM3vxCMo8M12mFNbb20tTUxNmljXV1dWxcuXKQXkXLVqEmZFKpQZtM9IpqS7Jdt1113Hd\nddeVuxkTimJVwToUq4ZJsUqkOIpVyYq5g7UHWGRmU8Lya4HfjbRCd1/v7p8c6fbDsBT4QXgtOTOr\ncvffu/uSsSh/iLqPAu519z+Pd92j5e5r3f2KsLgMOCi27l3uftcIiv0aoG/sQ+jt7eXMM8/k2Wef\nZfHixaRSKerr65k1axZLlixh7dq1mY5Pb28vq1ev5uCDD6a6upoXv3h43yXmzJmTmF5XVzeoLhls\n//33Z//99y93MyYaxaoEilUjo1glUhzFqmTFDhG8DnhDmF8K9KZXmNk0M+s1s+1mdpeZnRTSP2Bm\nl4f5Q81sh5ntH64EXRzSDzSzG8K67WZ2ZEi/1sy2mtl9ZnZmrK4nzOx8M9sWpswJL86i+4UnAu8B\njjKzupDeYmb3mNnlZvYrM+sxs2PN7EdmtjNWf759WmZm681sI/A/obwdYV21mX0xlL/dzN4f0teY\n2e2hvq+bWVVI32RmF5jZbaHuo0P6S8zsZ2H/7jCzgxN28W3ANbH9fY+Z3R22+WZIe4GZ/Ti05VYz\nWxjS15nZpSHt12b2GjP7Wmhf/H19wswuDG34HzP7RzPrM7PfmtmJseNxcWybDWbWWei9CsfjLDNb\nArQD3wzrp4Rj0h7yLTazn4fPxnozmx7SPxXek1+a2WcB3P1x4FEzW5T0eZDI+eefz9SpU/nmN7/J\njTfeyKc+9SmuueYapk2bxrZt27jgggv4yle+ksl72WWXcf3113PBBRfwv//7v8ycOTOx3GnTpg1K\n+9Of/kR9fX1m3dy5c+nq6uLpp58eVJcMdskll3DJJZeUuxkTkWIVilWKVSLjR7EqjyJ+mvEJ4DDg\naqAO2AZ0AhvC+s8Ap4b5A4D7gelEnbdbgDcDW4AjQ55lwMVh/hpgZZhPAdPD/IzwOgW4G5gblh04\nPsxfCJyXp81HAhvD/JXAiWG+BXgGeHGobytwWVj3JuAHQ+zTMuDBWPtagB1h/gPAt4BUerv4vsTa\nsiTMbwIuDPPHA5vD/CXAyWG+GpiSsH/3ALPC/N8D98XqS79uBE4J828Hbgjz64Ce2D7/Jed4vCx2\nrF8X5r8XyqsCXgLcmftehuUNQGeh9wpYA5wVOwbtse03EQWyucBtwNSQfjZwPjAHuBOwkF4f2/Y/\ngffm+TycTvQZ3NLc3Oz7qlQq5alUygcGBhzwPXv2+MDAgJuZp1Ip37NnjwOZvPF84f0c1pRKpbKW\nd+/enUmP11VpRrKvJXHu9MxsR0eHd3R0jLg949ruEgK2+Mh/RlixSrFqwsYqFKeKxhieE0sxTUqx\n+BRX7mNdjmNOkXGqqDtY7r6d6AS9lOgKYdyxwDlmto3opFMDNLv7c0QntSuJTsi3JhR9FPDlUMdz\n7v54uKJ3Trja9hOi2/LpK2MDwPVhfivQlKfJS4kCCOE1PvTi/9z9rtC+O4G+kH5HrLzEfQrrbvLk\n4Q7HAF8J5eLuu0P6G8LVre1hf18U2yZ9ZS++L/3Ahy0a+/9Cd38qoa6D3P2RMH808K10fbF6Xxk7\nBj1EgTztB7F9fijneKTbMUAUqNL5Nrv7s2Qfp0KKfa+SvIroPb81vAdvB54HPAb8DbgsXFUciG3z\ne6LP6CDu/mV3b3f39tmzZw+jGZNLa2srzc3N9Pf3U1tby9q1a+nv72fBggW0traydu1aamtrM3nj\n+Wpra4d1Bwtg6tSpWXewVq1alSk7XlclKubk6Xu/GFVUeyqp3eNNsUqxigkaqxSnhmcszok6r45M\n+n826phnqx5G3vXAp4muCDbG0g1Y7O73J2xzMNFVxcThEUQ9z1yvJTpptbv702a2KdbOv/neo/ks\nkArDGLbG2nge0ZCLN5nZh0P7Gs2sPuT5a6yu52LLz7F3yGTiPoUhAXvy7MsgZjYN+BxwuLv/zszW\nkH3M03U/m67b3XvM7KdEVwqvNbP3uHsfw1foUxff59zjkT4G8WOdyefuz5lZKiE/RFeNSdj+WYb3\ni5UGXO/upw1aYfZyokB9IvBvwGti21TuX1oFWL16NWeeeSannHIKr3vd6/jQhz7E1KlTqa2t5cgj\nj+Tss8/mjDPOyORdvnw5xx13HGeffTaHHHIId955Z2K5TzzxxKC0OXPm8Kc//Smz/Mc//pFLL72U\nuro6Dj/88Ky6REpMsUqxSrFKRMpqOCeSy4lund+Rk34j0JVeSI8ttuhXgz4PvJooaCQ9YNtHdFsc\nM0uFwDIF2BUC1sHAPxZqlLs/6+6Hh+mjRCe07e7e5O4t7r4A+A7R8I9iJe7TEG4C3p0+oZvZAUQB\n6jngMYsevB7yIWMzW+Du97v7F4iuGv59Qrbfm9msMH8zcFKoL10vwI+Bt4T5txJdbSy1B4HDw3v3\nPOAfhrn9U0DS05E/Al5jZgsAzKzOzF4YvgRMc/frgP9H9rE5EPjNsPdgH7J06VI+97nPUVVVxfr1\n63nuuef4y1/+wiOPPMLVV1/NGWecwRe+8IVM3vPPP5/77ruPZ555hrvuGt7z3PHOVdzTTz89qC6R\nElOsKkyxSrFKRMZY0Xew3P1BoiCU6yPApWZ2N9GY8QeB44DPAl9093vNbDnwQzO7JWfbLuDrZvae\nsO17gRuAFWZ2D9GY9p8Mc5+WEo3DjvtOqCu3/nzy7VMhFwOHAHeb2dNE4+U/b2ZfIxqH/hvg9iLq\nPsXM3hbqfQi4ICFPP9H47xvc/edm1g38JNR7B3Aa0RWzK8xsFdHY9VOLqHu4NhENd/gVsB34+TC3\nvxL4mpn9BXhFOtHdHzKz04H10SgcUsCHgSdDWjXRGPv/FyvrH4APjWw39h1Lly5l6dLifqxsOHlF\nKoVilWJVgk0oVonIOEo/gCkTiJm9hujhYo2xAsKvNvW5e/tQedvb233Lli3j0CrZV5hZacaBr5kB\nawY/MlOy8icAM9tazN+xTAyKVdmKjVWKUxPXpD1fKz5lFBunhjNEUCqEu/8QONgm4D9vHCPvIPmK\ntYiIlIli1SCKVSL7CHWwJih3P9on4D9vHAvu/jnf+w8hRSa8T3/603z6058udzNERk2xai/FKpmM\nFKuSqYMlIlJhNmzYwIYNG8rdDBERkYIUq5IN52faRUQkQXjAfVT83OmDyjGzvP9/TEREKk8p4kGl\nSYpPANXV6kbkoyMjIjIKpXzA19dEr52dnQBs2rSpZGWLiMjYmsw/+JCOT3HpWCWDaYigiIiIiIhI\niegOlohIhZkyZUq5myAiIlKQYlV+6mCJiFSY66+/vtxNEBERKUixKj8NERQRERERESkRdbBERCrM\nxz72MT72sY+VuxkiIiJ5KVblpw6WiEiFufnmm7n55pvL3QwREZG8FKvyUwdLRERERESkRNTBEhER\nERERKRF1sEREREREREpEP9MuIlJhGhsby90EERGRghSr8lMHS0SkwnznO98pdxNEREQKUqzKT0ME\nRURERERESkQdLBGRCrNq1SpWrVpV7maIiIjkpViVn4YIiohUmNtuu63cTRARESlIsSo/dbBERMZJ\nQ0MDu3btKpjHz53O5s2PA2BmWetmzpzJY489NmbtExGRfVuxccrOezyznI5VilF7aYigiMg42bVr\nF+5ecALo6Oigo6Nj0Lqhgp6IiMhoFBun3H1QrFKM2ksdLBERERERkRLREEERkQozf/78cjdBRESk\nIMWq/NTBEhHJYWaZYRDl8I1vfGNc6in3foqIyNgZ63P8WMeqiRyjKmaIoJm5mX0jtlxtZg+b2YYR\nlrfYzM4pXQvz1nN4aPvrx7COg8zs6rEqf4i6bzazGWH+x0Xkf7+Z7T/GbTrczI6PLb/JzD46lnX2\n9vayaNEiqqqqWLRoEb29vWNZXUnbkLvdypUrE8tZuXIldXV1mBmpVAozyzs1NjZSU1NTME9NTQ0r\nV64cy0MiMu4UqwrWoViVXce4x6pKUkzMypent7eXpqamTDxpamrKWrdo0SJSqRRVVVWZPNXV1Uyb\nNi1rm5UrV2aVM9yppqaGxsbGrOX4+lQqpTg3DpI+J5XwvaygoR5kG68JeALYBkwJy8eF5Q3lbtsQ\n7b4A2AB8fYzKryrjvh0FXDrMbXYCs8ZyH4FlwMWx5RTwS2C/obY94ogjfLh6enp84cKF3tfX5wMD\nA97X1+cLFy70np6eYZc1UiNtQ+52q1ev9urqal+9enVWOccee6xXV1f7Kaec4gsWLPC2tjYH3Myy\nXqurqx3ITNOmTctan55e+tKXekNDg6dSKV+xYsU4HaXSiU6NZSr33Ol+5pln+plnnjmy7UvdnnEE\nbPEyne+KnRSrSnMeL3HdkypWjSROVZpiYla+PCtWrPDZs2f7gQce6Bs3bvSNGzf6vHnzfPbs2b5i\nxQpfuHChr1692uvr6z2VSvnMmTP9hBNOyMSfxYsX+8aNG/2AAw5wM/NUKuWA19bWelVVVVasSk+5\nMexVr3pV1vKqVau8paUls7xkyRI//vjjM8uVGudGco4vNk65+6BYNRYxKulzMnv2bJ89e3ZZvpcV\nG6fKesLPakgUtD4BLAnLVwBnp4MWMA3oBbYDdwEnhfQPAJeH+UOBHcD+8RMbcCBwQ1i3HTgypF8L\nbAXuA87Macv5IWhuAw7K02YD/hd4HvBboC6ktwD3AJcDvwJ6gGOBH4WT+pFD7NMyYD2wEfhhKG9H\nWFcNfDGUvx14f0hfA9we6vt6OhAAm4gC622h7qND+kuAn4X9uwM4OGH/vgq8Pn5cwmtnKPeqcOyu\nJgoc7wMGQnk/DHkXAz8Px349MN33BrcLQhtOBg4JZW4PaYtCvqVh221AP7Af8ADwcEg7OeRbC5ww\n1OdsJIGrra3N+/r6stL6+vq8ra1t2GWN1EjbkLtdW1ubd3d3Z23X19fnZpZJ7+vr89raWq+vr890\nompqaryrq8tramoywaqurs4B7+rqygo8XV1dbmbe19fn8+bN89ra2tIejHFAmTtYHR0d3tHRMbLt\nS92eccTE6WApVilWjVmsmgwdrGJiVr48tbW13tLSkrWur6/PW1pavLa2NlNOTU2Nd3d3Z7aZO3eu\nz5w5MxNzWlpaMh2q+vp67+vrG9SZqqmp8cWLF2d1pubOnettbW0+b968TFr8ouPMmTMz+5HetlLj\nHGPcwcqNVSOpb6i2JH1OWlpavKWlJSttvL6XMUE7WIeFE2BdOCF1sjdofQY4NcwfANwPTA8ny1uA\nNwNbYgFhGXuD1jXAyjCfip04Z4TXKcDdwNyw7MDxYf5C4Lw8bT4S2BjmrwRO9L1B6xngxaG+rcBl\nYd2bgB8MsU/LgAdj7Wthb9D6APAtIJXeLr4vsbakg/8m4MIwfzywOcxfEjvhVxOuxubs3z3ErvCR\nHbT+TPRlIEUUEF/je4PRrDA/N6ybGpbPBs6P5ftgrOxbCYETeDlwa5i/K/a+1Oe+t7Ht35nez4T9\nOD18NrY0NzcP+ceTK5VK+cDAQFbawMCAp1KpYZc1UiNtQ+52qVTK9+zZk7XdwMCAA5n09HK6I5We\ndu/enbUcT4/nTedLt48K+xJfjKT9LNU0pCE6WOPennHExOlgKVYpVkEJYxWjjFOVppiYlS8PIf7E\n1w0MDGQ6RvHYsmfPnsw2xDpP6fLT6fHYljs9/PDDg9JSqdSg7XPXu3vWtpUoaX+LmYZUoINV6inp\nc5JKpdzMstLG63sZRcapinkGC8DdtxOdoJcC1+WsPhY4x8y2EZ2Ia4Bmd3+O6CR2JdEJ+daEoo8C\nvhzqeM7dH7fov6KdY2Y7gJ8ABwEHh/wDwPVhfivQlKfJS4kCCOF1aWzd/7n7XaF9dwJ9If2OWHmJ\n+xTW3eTuf06o8xjgK6Fc3H13SH+Dmf3czLaH/X1RbJtrEvalH/hwGPv/Qnd/KqGug9z9kTz7/jN3\n/0NoxzaSj9GriI7prWEf3050BTXtagAzmwUcAXw75PsSMDvkuQW40szeQ/RlJp/fE312BnH3L7t7\nu7u3z549OylLQa2trfT392el9ff309raOuyyRmqkbcjdrrW1lbVr12Zt19/fj5ll0vv7+6mtrWXq\n1KkATJs2jZqaGlatWkVNTQ2pVHTaqKuL3o5Vq1bR3NycKW/VqlWYGf39/cyZM4fa2trR7XyZFHMC\nHe5Uae2SkVGsUqwqdawabZyqNMXErHx5amtraW5uzlrX39/PggULqK2tzZRTU1PD2rVrM9vMnTuX\nAw44IBNzmpubqaqqAmDq1KmZ8uL/wL2mpobly5dntWHu3Lm0trYyZ86crLamt505c2ZmOb1tJce5\n8Y4LpY5RSZ+T5uZmFixYkJU23t/LhjQWXyJGeBDTV5w+CjxKNISik71XBe8EXpBn29cBDwG9sbRl\n7L0q+DhQm7PNsUQn7vRQiU1AZ7wtYX4JsA6oYu8wjP8My38gGm6xE/gN0ZXNemJX8UIZ69h7lS6z\nLt8+MXjcdnybHwCvzck/jWgYwvPC8hpgTWy/2sP8LGBnbLsXACuJhk4cldCOx/O8R5n3JSxfDCwL\n8zvZe1XwLcCVed6zeL7ZwG8LfDZeHvbpAaAx9/iEPMcBVw31OdMzWHoGqxiM0dXIosrVEMGyx6NC\nE4pVilVjHKsmwxBBPYNVGRjBOb6obcZxiKCewSpd0JoPvM9zTo5EQxQ+HcufHvc8g2gs998RjQNP\nB4fMiQ34PtnDLuqJhj9cG9IOBp6mQNBKaO+xwI05aV8H/pXig1a+fco6Keds835yhl2E6Y9Ew0em\nEI0DLxi0gAWx8j8NnJWwj4WGXeQLWncTXa0FmEc0fGRBWK4jugIJOQ8YE419f2OYN6Atve+xPLcD\n7UTj4C/PaWveIYLxaaSBq6enx9va2jyVSnlbW9u4dq5G24bc7VasWJFYzooVK7y2tjYx2ORODQ0N\ngzpbuVN1dXXFBp2hUOYO1rvf/W5/97vfPbLtS92eccTE6mApVilWjUmsmgwdLPfiYla+PD09PT5/\n/vxMPJk/f37Wura2tqzOE+BVVVU+derUrG1WrFiRVc5wp+rqam9oaMhajq83s4qOc4xxBys3Vo2k\nvmLakvQ5Kdf3MiZqBysnLXNyBKYSPUx8N9HQhetD+uXsDXJNRA/yzmHwg8Mb2fsA6iuBWuCmcGL+\nHkNcFUxo29eAM3LSFhMN12ihuKCVb58ybU/Yphq4lChQ/zK2758kujJ5S2jbUEHrP2LH4wZgdsI+\nFnpwOF/QOotofP4Pw/LxoZ2/DPv4Jk8OWgeHtt5BNJb9vJD+faKHiXeEeiy8v78M6fEHh9841Ods\nsgQuGVuUuYM1qu2HYaz2c6SYQB2snLTMObHAeV2xSrEKiohVilNSKoxxB6sU9Y26LeOMIuOURXlF\nBjOz1xAFhTPK3ZZCzCwF/AJ4mbsPFMrb3t7uW7ZsGZ+GieSwYv5p4poZsCbpkZaJ/U8Xi2FmW929\nvdztkIllssUqxSkpp9HEqckeo6D4OFVRP3IhlcXdfwgcnP7njRXsjcB3hupciUwUp59+Oqeffnq5\nmyEyIShWiZSHYlV+1eVugFQ2dz+63G0Yirtfw95fnxKZ8O69995yN0FkQlGsEhl/ilX5qYMlIjKO\n4j8RnMTPnc7mzZsT886cOXPM2iUiIgLFxal4nvS8YtRe6mCJiIyTYsemd2zqBGDTpk1j1xgREZEc\nxcYpXwOdnZ2AYlUSPYMlIiIiIiJSIrqDJSJSYQ4//PByN0FERKQgxar81MESEakwF110UbmbICIi\nUpBiVX4aIigiIiIiIlIi6mCJiFSYU089lVNPPbXczRAREclLsSo/DREUEakwDz74YLmbICIiUpBi\nVX66gyUiIiIiIlIi6mCJiIiIiIiUiDpYIiIiIiIiJaJnsEREKswrXvGKcjdBRESkIMWq/NTBEhGp\nMP/1X/9V7iaIiIgUpFiVn4YIioiIiIiIlIg6WCIiFebEE0/kxBNPLHczRERE8lKsyk9DBEVEKsyj\njz5a7iaIiIgUpFiVn+5giYiIiIiIlIg6WCIyKg0NDZhZySfWzCh5mQ0NDeU+XCIiUgHGInaNRdxS\nXJuYNERQREZl165duHvpC14zo+TlmllJyxMRkYlpTGLXGMStoSiuVSZ1sEREKszRRx9d7iaIiIgU\npFiVnzpYIiIV5iMf+Ui5myAiIlKQYlV+egZLZILSsIB9h95rEZlIdM6S4Zpsn5mK6GCZmZvZN2LL\n1Wb2sJltGGF5i83snNK1MG89h4e2v34M6zjIzK4eq/KHqPtmM5sR5j9mZvea2fYw/eMY1PfjIdY/\nkSf9TDP711K3R6RcjjvuOI477rhyN0NyKFYVrEOxau96xSrZJyhW5VcpQwT3AIvMbIq7PwW8Fvjd\nSAtz9/XA+lI1roClwA/C6w2lLtzMqtz998CSUpddRN1HAfe6+5/NrBM4BjjU3f9qZgcAU0pdp7u/\ncoSbfg24GbiihM0RKZunnnqq3E2QZIpVCRSriqZYJZOKYlV+FXEHK7gOeEOYXwr0pleY2TQz6w1X\no+4ys5NC+gfM7PIwf6iZ7TCz/c1smZldHNIPNLMbwrrtZnZkSL/WzLaa2X1mdmasrifM7Hwz2xam\ng5Iaa9G9zBOB9wBHmVldSG8xs3vM7HIz+5WZ9ZjZsWb2IzPbGas/3z4tM7P1ZrYR+J9Q3o6wrtrM\nvhjK325m7w/pa8zs9lDf182sKqRvMrMLzOy2UPfRIf0lZvazsH93mNnBCbv4NuCaMD8HeNjd/wrg\n7rvd/Q+hrJ1mdmE4ltvN7EUhfXGoY0fY94Nibb08XHF8wMw+FD/24XW+md0S2rfDzF4dyzPovXH3\nx4FHzWxR0nslIlJCilUoVoVXxSoRSebuZZ+AJ4DDgKuBOmAb0AlsCOs/A5wa5g8A7gemE3UQbwHe\nDGwBjgx5lgEXh/lrgJVhPgVMD/MzwusU4G5gblh24PgwfyFwXp42HwlsDPNXAieG+RbgGeDFob6t\nwGVh3ZuAHwyxT8uAB2PtawF2hPkPAN8CUunt4vsSa8uSML8JuDDMHw9sDvOXACeH+WpgSsL+3QPM\nSpcP7Ahpa4FjYvl2AueE+VNixyTepnfF3o81wK2h3lnALqAu/TkIr/8OnB3mDZg21HsD/Cfw3jzv\n1enh87GlubnZJ4twPCpiGhPnTi95keU+ThV3jCsMsMUrICblm1CsUqwao1jFJItTVMA5s5ip5MYg\nbg2l3Mewot+PMUCRcapShgji7tvNrIXoiuB1OauPBY41s7PCcg3Q7O47zGwZsB34krvfmlD0UcBJ\noY7ngMfDFb1zzOyNwLPAQcDBwB+BAeD6sO1W4HV5mryUKIAQXt8OfCcs/5+73wVgZncCfSH9DqCp\n0D6F+Zvc/c8JdR4DXBT2A3ffHdLfEMqpBhqBX8W2SV/Z2xqrux/4sJktBL7v7vck1HWQuz8S6vmz\nmR0OdACvBr5hZh9x96/E9j/9ujbMv8DMPkMUmGqA38bKvs7dnwEeMbOHiK46PhBb/xPgMjObAlzr\n7ltDeqH35vfA8xP2A3f/MvBlgPb2dk/KM1FFf+vlZRPswdRKOGZD6ezsBGDTpk3AxDvGk5lilWJV\nbH3JYtVkjFOVfq6dTOfVch3r3Fg1GpPp/YDKeQYrbT3waaIrgo2xdAMWu/v9CdscTHRVMXF4BFGv\nONdrgVcB7e7+tJltYu+x+Jvv/aQ+C6TCMIb0iXM9cB7RkIs3mdmHQ/sazaw+5PlrrK7nYsvPsXdY\nZuI+mVk70Tj/opjZNOBzwOHu/jszW0P2+5qu+9l03e7eY2Y/JbpSeK2Zvcfd+yggBJmbgZvN7A6i\nK33poJV0jC8GPuHuGywaF78moU1Z7YrVdYuZdYT2fdXMLnL3r5Pw3sQPRZ52iEw4J5xwQrmbIIUp\nVilWKVbJPk+xKr9KegYL4HKiW+l35KTfCHSlF9Ljly361aDPE12pajSzpAds+4huvWNmqRBYpgC7\nQlimoXQAABt4SURBVMA6GCj4K0Pu/qy7Hx6mjwJHA9vdvcndW9x9AdEVwTcPY18T92kINwHvNrNU\n2OYAogD1HPBYuIo25EPGZrbA3e939y8QXTX8+4RsvzezWSH/34UrtmmHEw0NSVsSe70tzE8B/hDm\nTxt617La1wQ85O5fBS4DXlbEZgcCvxlOPSKV6qyzzuKss84aOqOUi2JVYYpV+SlWyaShWJVfRXWw\n3P1Bd/98wqqPAHPM7O5wRepTIf2zwBfd/V5gOfBJM5uTs20X8EaLHr79OXAo0a8o1ZnZPUTjo38y\nzKYuBb6Xk/adkF6sfPtUyMXAo8DdZvZL4F/D0IuvEY05vxG4vYhyTgkP5G4DFgFfT8jTD7SH+Xrg\nqrDNPcBLQ/vTZpnZVmAV8L6Q9jHge2b2M+CxItoUdzSw3cx+AZxMdNVzKP8A/GiY9YiIDJti1ZAU\nq/JTrBLZB1ilj5GV8jCz1xA9XHzGEPl2Eg1feWRcGpbchulAn7u3D5W3vb3dt2zZMg6t2neY2diM\n/14zA9YkPd4xcmPW1hIr5bj2icTMthbzdyySNhljleLU+BiTeDAGcWso5Yxr+2KsKjZOVdQdLKkc\n7v5D4OAwtKXSvYNo+I2IiOxDFKtEpBJV2o9cSAVx96OLyNMyDk0Zqg3FDMsQEZFJSLFKRCqN7mCJ\nyKiZWcmnsSh35syZZT5SIiJSKSZC3FJcm5h0B0tERmUsx377mjErWkRE9mFjFbsUtwTUwRIRqTgn\nnXRSuZsgIiJSkGJVfupgiYhUmPe+973lboKIiEhBilX56RksEZEK8+STT/Lkk0+WuxkiIiJ5KVbl\npztYIiIV5vjjjwf2rf8tIiIiE4tiVX66gyUiIiIiIlIi6mCJiIiIiIiUiDpYIiIiIiIiJaIOloiI\niIiISInoRy5ERCrMsmXLyt0EERGRghSr8lMHS0SkwihoiYhIpVOsyk9DBEVEKswjjzzCI488Uu5m\niIiI5KVYlZ/uYImIVJglS5YA+t8iIiJSuRSr8tMdLBERERERkRJRB0tERERERKRENERQRGScNTQ0\nsGvXrqw0P3c6dt7jWWlmxsyZM3nsscfGs3kiIiKDYlVSnErnU5zKpjtYIiLjbNeuXbh71gRk5js6\nOujo6MDdB3XERERExkNurAKyltOxSnFqMN3BEhGpMF1dXeVugoiISEHpWLV58+Yyt6TyqIMlIlJh\nTj755HI3QUREpKB0rHrrW99a5pZUHnWwREQqzG9/+1sAmpqaytwSERGRZOlYJYPpGaxRMjM3s2/E\nlqvN7GEz2zDC8hab2Tmla+H4lG9m7Wb2+VKXm1BPp5m9cqzrESmWmZW8zNNOO43TTjutJGWNRftk\nYlGcypSrOCX7rEqMVZM5PqmDNXp7gEVmNiUsvxb43UgLc/f17v7JkrRsHMt39y3u/r5i81tkJJ+/\nTmDEgWvr1q0sWrSI3t7ekRZR8Xp7e1m0aBFmRiqVwsyoq6tj5cqV9Pb20tjYiJllTZP9mAxX+him\nUinq6upIpVKT6hil96+qqmpS7ZfkpTjFxIlTd95556j+NifK3/dQ7Uxav3LlSurq6gbFsMbGRpqa\nmrLO2f+/vbsPjuOu7zj+/q60PcWx/KBYPpPq4cw0ccWpwZOI0qZl7LZJ3KbEmIbiOu4faV0ooQpN\nSKgTPIChNKFM5KYkTJRAeUio3LRMASeUNriKyYiUgkOV4CQGykNDOkPGndiAxQTF8bd/7N55T76T\nTvLpbnX6vGZ2tLe7t/fd3+r2o9377SkMw+L85HghE9PaLotFof2n7sfC9HL7f6H8bgOc9k1WGmY3\nAMeBW4A3xI/vBXYCD8aPlwJ7gSeAp4A3xtOvBz4Wj/8ScAhYAlwN3BlPfxnwr/G8J4Bfi6c/ADwG\nfBv48ym1/BUwHg/nlqk3uf5PAHcBXwa+C/wG8HHgm8DeKev9IPANYD/wK8Ao8APgyniZjYltzgJj\nwOPAR4D/AVYBuXjdn4y3pwe4GzgYb8tfJ17z+8B7ga8B34rbKAf8kOgPg3HgNcC2uH3GgbGZ9teF\nF17oo6OjvnbtWh8ZGfFmMzIy4mvXrvUtW7Z4a2urX3PNNd7b2+vbt2/3IAg8DENvaWnxbdu2eTab\n9aVLl3oQBL5ly5ambZPZKrThrl27PJfL+dDQUPFxuTaKDqOzU/Y571lWHN2wYYNv2LBhzuuf7rUK\n2zc6OuqTk5Opej8ABz0Fx/VmG5RTCyunzj///Dm/N9P8/k6aqc5y89vb2z0IAt++fbuvWrXK29vb\nvaWlxS+88EIPgsCXLFninZ2dvn37djczP/vss33NmjW+atUqBxzwt7/97f7a177WAQ/DMHXtMp9q\nklWJnHI/lVWzXffIyIi3t7c74B0dHX7rrbf6ihUr3Mx82bJlPjg4eNr+7+zs9M7Ozob/blebUw0/\n8C/0IT6oXwB8GmiLD6DJg/ge4A/j8RXAd4BlRJ8ePgK8Pj5wF0IpGSyfA66NxwNgWTy+PP55FvA0\nkI0fO3B5PP5B4L1l6p0aXCPx+OuAnwCviF/rMeBVifVuisc/AzwEtACvBJ7004PrI8BfxOOXxs8v\nBNfJwnqnbEsLcAAY8FPB9dZ4/K3AJ+Px3cCNiec/ldj+9pn210UXXeTu7qOjo57P573Z5PN5Hx0d\n9Uwm40NDQ+5+aluz2awDPjQ0VFxudHTUs9msZzKZpm2T2Sq0TeGnu5c8ntpGNQkt97qdYCW3qyAt\n+77a4NKgnFoMOeU++/dmmt/fSTPVWW5+GIaezWY9n897Lpfz0dFRHxoacjPzoaEhD8PQc7mc5/N5\nX7NmTXEZwM8666zic93dN2/e7EDq2mU+1SSranSClc/nPQxDB0pyNpvNehiGxb9JknK5nOdyuZJp\njfjdrjanGn7gX+gDcDz+eRD4I6KrhMmD+CFOXbkaB54B+uN5LycKvqHE+pLB8hMgM+X1DLg1Xufj\nwI+AX4/n/QyweHwr8ZXHKc+fGlzbE7V8O7HcvcDvlVnv+4Bd8XgA/DgeT27zU8DaxLqeTwTX96bU\ncz3RVcLHgSOcCvnvAz8fj78aGI3HpwbXMFGQ/inQWWEfvTnePwd7enrc3X1yctKDIPBmEwSBT05O\nOuATExPufmpbzaw4vbBcYVmgadtktgptU/jp7iWPp7ZRof1mO5xmmhOsMx3KbV9SWvY9OsFSTimn\nijnlPvv3Zprf30kz1VluPuBm5kEQFOdPTEwUc23qfDMrZlwQBMWf7u5HjhwpebwY1CI/pjvBmuuQ\nzNly0wsK+zSpEb/bVJlTugerdvYBtxF1s0gy4HXuvj4eetz9UDzvPKLgOrfCOr3MtEuJuhwMuPsr\ngf/i1LdBvhjvfICXqO4eu5/FP08mxguPC89Prre4nLsnl6nWRGHEzNYBg8Br4m35PKXfbFmop+K2\nuPtbgHcRdVN5zMzOKbPMPe4+4O4DnZ2dAIyNjdHX1zfL0tOvr6+PsbExMpkMw8PDwKltXb16NQDD\nw8PF5cbGxshms2QymaZtk9kqtE3hJ1DyuFwbVXOw9dI/pqZ1ww03cMMNN8x5/dO9VnK7CrTvFw3l\nVHVSkVMw+/fmQnl/z1RnuflhGLJ69Wr6+vro6elhbGyM4eFhzIzh4WHCMKS3t7eYd729vcV1ZDIZ\nstlscf07duwovs5iMp9ZNZv15vN5wjAEKMnZbDZLGIbFv0mSenp66O3tLZmWxt/tojMJbg0lVwa7\ngLfF4xsp7XpxW2L5wlXB5UT9vM8nurJV6Bt/Naeu3H2W0q4X7URdJB6Ip50HvABsTNYSj78B+ESZ\nepPr/0TidXPAocRyyXnJ9e6m9Mrc8TLb/NHCMsBvUdr1IvkaryS6IhjE858Dro7nfR9YFY8PAAfi\n8Z3AuxPryCXGv0bcdaPSoHuwdA/WTNJwD9aZrn+656f5Hg30CZZy6vT1L7qc0j1YugdrPtQkq2qU\nU7oHS0PVwTVlWvIgfjZRN4aniW6+/UI8/WOJoOsG/htYzek3Dz/Eqa4bFwMZ4IvAYaJ+5gdSGFwv\nI7oh+XHgHqIbfpdOfY142U8R9fd/CPjnKoLrFfG2P050hfSzRF03DgF3EncRmWZ/eT6fb+qD6sjI\niOfzeSfuLgF4JpPxwcFBHxkZ8Y6OjtM+om/2NpmtQhuamWcyGTezim1Uk9ByLwmuw4cP++HDh+e8\n/pleq7B9QRCkat9XG1walFNl5jVNTrW1tZ3RezOt7++pZqqz3PzBwUHPZDKnZVhHR4d3dXWVHLNb\nW1uL85PjhUxMa7vMl5pk1ZQTrEJWzWXdIyMjZfdj8iR76v5Pw+92tTlV6K8sUjNmlgFOuPtLZvar\nRH3sU/EZ7sDAgB88eLDRZUgTMTNmexwt+5zdy2H3jwDYuHEjAAcOHJjT+s+0vkYxs8fcfaDRdUjz\nU07JYlOTrErkFJzKqi996UtzypmFlE8F1eZU60wLiMxBD/BPZtZKdFXiTxpcj8i8SXs4pL0+kQZR\nTsmiksYsSGNNtaITLKk5d/82sL7RdYiIiJSjnBKR+aRvERQREREREakRfYIlItIAZlby2N+z7LRp\nZsbKlSvrWZaIiEhRMpfK5RSgnCpDJ1giInVWqd+5745+7t+/H4BLLrmkThWJiIiUKpdVhZwCZdV0\ndIIlIpIyCisREUk7ZVVlugdLRCRlxsfHGR8fb3QZIiIiFSmrKtMnWCIiKXPdddcB0f/BEhERSSNl\nVWX6BEtERERERKRGdIIlIiIiIiJSIzrBEhERERERqRGdYImIiIiIiNSIvuRCRCRlbrnllkaXICIi\nMi1lVWU6wRIRSZmLL7640SWIiIhMS1lVmboIioikzKOPPsqjjz7a6DJEREQqUlZVpk+wRERS5p3v\nfCeg/y0iIiLppayqTJ9giYiIiIiI1IhOsERERERERGpEJ1giIiIiIiI1ohMsEVmQOjo6MLO6DOxe\nPuMyHR0djW4SERFpgHrmUS1zS9k1f/QlFyKyIB09ehR3r8+L7V4+42uZWc1e7vbbb6/ZukREZH7V\nNY+qVUVuwZlll7KqMp1giYikzPr16xtdgoiIyLSUVZWpi6CISMrs37+f/fv3N7oMERGRipRVlekT\nLJEmZmbp67awiMy1/d///vcDcMkll9S6JBGRWVOWLE4z7XdlVWX6BKvGzMzN7FOJx61mdsTMHpzj\n+jab2U21q7Cq1zzXzD49y+ccMLNnLNGZ18w+a2bH61XDfNi7dy/9/f20tLTQ39/P3r17Z7XMtdde\nS1tbG2ZGW1sbmzZtoru7u3hzaWtra3G8u7uba6+9triu7u5uuru7CYKAtrY2giDgnHPOIQzD6m9y\njesTEUlSVjVXVpUzUzYl8ycIApYuXVqSR8oOkTPg7hpqOADHgXHgrPjx78SPH2x0bfO83QeAJ4Bf\njx+vAP4TON7o2pLDRRdd5NUaGRnxtWvX+ujoqE9OTvro6KivXbvWR0ZGqlpmcHDQW1tbfWhoyCcm\nJnz79u0O+JIlS/ymm27yZcuWeRAEvmLFCr/55pt9xYoVHgSB79q1y++9915fs2aNr1ixwjs7O31o\naMjb29vdzDyTybiZOeCAB0FQHC8MW7du9ZUrVzrg7e3tJTU3i+jwVSfvWTbjIuXqmWuNGzZs8A0b\nNszpuQsZcNBTcJxYDIOyKr1ZNZucqmSmbIpPsP3WW2/1rVu3FrNj8+bN/tBDD/maNWu8s7OzmB11\nPd4uQKlsnypyy3362mfarsWYVdXmVMMPJM02xKF1C/CG+PG9wM5CaAFLgb3xAf4p4I3x9OuBj8Xj\nvwQcApYAVwN3xtNfBvxrPO8J4Nfi6Q8AjwHfBv58Si1/FYfmOHBuPH1bvI5xYKzMNuSAQ/H41cA/\nA58Hvgf8bYXtPgC8M1HrH8fbfTyxzLuBbwCHgQ/E014Vb0sbcDbwJNA/pYZW4MPx854ArounXx5v\nx1PACNA20/6ZTXDl83kfHR0tmTY6Our5fL6qZTKZjA8NDZUsu3LlSg/D0PP5vOdyOR8aGvJcLld8\nnM1mPZ/PF9eby+U8l8u5u3sYhr5mzRoPw9ABb21t9aVLl3oYhp7NZosB2draWnw+UHy9ZqMTrOaj\nEyxllbKqNidYM2VTS0tLMZ8K2RQEgWcymeKyhWxyr/PxdgFKZfvoBGteVJtTDT/IN9sQB8UFwKfj\nA/E4sDERWnuAP4zHVwDfAZYRddd8BHg9cDARSMnQ+hxwbTweAMvi8eXxz7OAp4Fs/NiBy+PxDwLv\njcefSizTXmYbpobWd4nCtg14Bnh5meccAF4dh0oL8FC8nuPx/M3APYDFtT8IXBrPez9wWxxMN5ep\n4XrgH4Eg0W5LgOcKtQAfB26qsE/eHLfpwZ6eHq9WEAQ+OTlZMm1yctKDIKhqGcAnJiZKli1MD4LA\nzcwnJibczIrzkuOF9ZiZe7QhZT+tKjcUnl/Nsgt5qJsqT7BqVeNiDC336oNLg7LKmyyrmGNOVTJT\nNpHIp6m5Uli2kEfulY9vGhqQR9WaxQnWXLdrMWYVVeaU7sGaB+7+BNFBdxvwL1NmXwbcZGbjRAf6\nEOhx95NEAXEf8CV3/3KZVf8m0YEfdz/p7j+O+5HfZGaHgK8A5wLnxctPAl+Ixx8DuuPxR4D7zOxP\niYJoJv/u7sfd/QWiq3ZdFZZ7CRgD/oCo28n3p2z3ZcB/AV8HfhFYG897H3ApMEAUrlNdAnwkbiPc\n/RjRlcNvuvt342U+BbymXFHufo+7D7j7QGdnZxWbG+nr62NsbKxk2tjYGH19fVUtk8lkGB4eLll2\n+fLlhGFIX18fvb29DA8P09vbS19fHz09PaxevZq+vr7ient6eujt7QUgDENWr15NGIYAtLa2snTp\nUsIwJJvNFl+ntbW1pK4wDMnn8w3/g67WQxrVqsa7776bu+++u4aViZxOWZWerJprTlUyUza1tLQU\n86mvr4+VK1cSBAGZTKa4bCGbEjVqWEB5NBtz3S5lVWU6wZo/+4iudE29S9SA17n7+njocfdD8bzz\niK4qnlthneV+2y8lOlgPuPsriUKh8O2QL/qpd8hLxPvb3d8CvIuoG8djZnbODNvys8R4cT0V/APw\nIaKreEkG/GViu3/B3e+J551DdNWxnepCtC527drFjh07ePjhh3nxxRd5+OGH2bFjB7t27apqmTe9\n6U3s3LmTPXv28NOf/pT169dz9OhRwjDkiiuu4Pnnn+cd73gHx44dY/PmzRw7dowjR46wZcsWdu7c\nyVVXXcWxY8eYmJhgz549tLW18dxzzxEEAWbGiRMnOH78OC+99BLPPfdcsaYTJ07Q39/PlVdeCUBb\nW1tJzZJ+69atY926dY0uQxYHZVWpBZdV5cyUTSdPnuTGG2/kAx/4AP39/Rw9epSTJ0+yadMmvvjF\nL3LVVVcxMTGh7JBpKaum0eiz/mYbONXNoAt4Wzy+kdJuF7cllu+Pfy4HvgmcT9RlodAv/mpOdbv4\nLKXdLtqB1wEPxNPOA14ANiZricffAHwiHs8lpn+NKPCS25CjtNvFnYl5DxbWP+U5B4iu6hlwI7Bq\nSntsJrpiWLihOgt0xuP7gKuAXYltTdZwHad3uzgL+CGwNp72UWDnTPtntn3bR0ZGPJ/PexAEns/n\ny35ZxHTLDA4OeiaTccAzmYxfdtll3tXVVfzovaWlpTje1dXlg4ODxXV1dXV5V1dXyRdbdHR0eGtr\n66y6LTTjF1y4e327ZNT5Hqx9+/b5vn375vTchQx1EVRWKatqcg+W+8zZlMwfM/Ozzz67JI+Sy9f1\neLsApbJ96nAP1mLMqmpzSv8Ha564+7NEV8emehdwl5k9DZwAniX69qa/AT7s7t8ysx3Aw2b2yJTn\nXgN8Mu4ucQJ4K9GNxINmdpioT/tXqijvdjN7OVHwHSDqklET8S/fbWWm7zOzVwBfN7NJoiuN28zs\nd4iuXo6YWQvwqJn9JlFf+oI7gXXA02b2AvB37v6huJ0eMLMAeBz421ptR8G2bdvYtm3bnJe54447\nuOOOO2pdVtXMbMb6JX2GhoYAuOKKKxpciTQ7ZdVp0xdkVpWT5myS5qCsqsyiY4zI4jAwMOAHDx5s\ndBl108z/HLKu27Z7Oez+0azrmWuNGzduBODAgQOzfu5CZmaPuftAo+sQaaQ05lQzZ0ktpLJ9qsgt\nmL72mbZrMWZVtTmle7BEmljqDviLjNpfRJqBjmWLk/b73OkES0REREREpEZ0giUiIiIiIlIj+pIL\nEVmwon+tM//8PctmfK2VK1fW7PXuu+++mq1LRETmX73yqFrV5BacWXYpqyrTCZaILEj17hvuu+v3\nWt3d3TMvJCIiqZDWe5XmO7eUVZWpi6CISMrcf//93H///Y0uQ0REpCJlVWX6BEtEJGXuuusuALZu\n3drgSkRERMpTVlWmT7BERERERERqRCdYIiIiIiIiNaITLBERERERkRrRCZaIiIiIiEiNWFq/WlJk\nPpjZEeB/Gl1HBauA/2t0ESmgdogsxnbodffORhch0kgpzylYnMemctQOkcXWDlXllE6wRFLCzA66\n+0Cj62g0tUNE7SAiaaRjU0TtEFE7lKcugiIiIiIiIjWiEywREREREZEa0QmWSHrc0+gCUkLtEFE7\niEga6dgUUTtE1A5l6B4sERERERGRGtEnWCIiIiIiIjWiEywREREREZEa0QmWSIOZ2e+b2ZNmdtLM\nBqbMu9nMnjazQ2a2qVE11puZ7Taz/zWz8Xi4vNE11ZOZ/Xa8z582s5saXY+ILG7KqfKUVcqqSlob\nXYCIcAj4PeDu5EQzuwi4ErgAyAJjZrbO3X9W/xIb4m/c/bZGF1FvZpYBhoHXAD8E/sPMHnL3rze2\nMhFZxJRTlSmrlFWn0SdYIg3m7k+7+zfLzPpd4H53f9HdnwWeBH65vtVJA7waeNLdf+DuLwL3E/0u\niIg0hHJKylBWTUMnWCLp1QX8IPH42XjaYvFnZnbYzP7ezM5pdDF1tNj3u4gsHDpeKasKFuO+r0hd\nBEXqwMz2A2vKzNrl7p+rdz1pMF2bAB8G/hJwYDfwIWB73YoTEVlklFPlKatkLnSCJVIH7n7JHJ72\nLNCdeNwVT2sK1baJmQ0DB+a3mlRp6v0uIumknCpPWVVR0+/7M6EugiLp9S/AVjMLzawL6Ae+2uCa\n6sLMViceXgk81ahaGuCrQL+ZdZlZCGwFvtDgmkREylm0OQXKKpRVFekTLJEGM7PXA3cAncDnzWzc\n3Te5+0Ez+wzwBHASeMsi+mamPWZ2AfBzwDPAjgbXUzfu/oKZXQP8G9FFsE+5+8EGlyUii5hyqiJl\nlbKqLHP3RtcgIiIiIiLSFNRFUEREREREpEZ0giUiIiIiIlIjOsESERERERGpEZ1giYiIiIiI1IhO\nsERERERERGpEJ1giIiIiIiI1ohMsERERERGRGvl/BUr3SMuNr/8AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x102cc710>"
+       "<matplotlib.figure.Figure at 0x7fcc04a78c50>"
       ]
      },
      "metadata": {},
@@ -1084,37 +1127,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
-   "metadata": {},
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": false
+   },
    "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",
+      "difference between paired scores = 1.311E-01, stat = 3.328E+03 (p=8.579E-01)\n",
+      "Mexicans in Mexico vs. African Americans median score: -2.191E+00, test stat = -7.400E+01 (p=5.605E-45)\n",
+      "Mexicans in Mexico vs. Anglos median score: -1.933E+00, test stat = -1.025E+02 (p=3.889E-62)\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",
+      "difference between paired scores = 1.311E-01, stat = 3.328E+03 (p=8.579E-01)\n",
+      "Mexican immigrants vs. African Americans median score: -3.291E-01, test stat = -2.600E+01 (p=2.305E-05)\n",
+      "Mexican immigrants vs. Anglos median score: -3.738E-01, test stat = -4.750E+01 (p=2.275E-11)\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",
+      "difference between paired scores = 1.311E-01, stat = 3.328E+03 (p=8.579E-01)\n",
+      "Mexican-Americans (Spanish) vs. African Americans median score: -4.893E+00, test stat = -7.200E+01 (p=6.181E-41)\n",
+      "Mexican-Americans (Spanish) vs. Anglos median score: -4.591E+00, test stat = -9.350E+01 (p=6.008E-47)\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",
+      "difference between paired scores = 1.311E-01, stat = 3.328E+03 (p=8.579E-01)\n",
+      "Mexican-Americans (interest) vs. African Americans median score: -1.942E-01, test stat = -1.400E+01 (p=2.613E-02)\n",
+      "Mexican-Americans (interest) vs. Anglos median score: -2.255E-01, test stat = -2.750E+01 (p=1.492E-04)\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",
+      "difference between paired scores = 1.311E-01, stat = 3.328E+03 (p=8.579E-01)\n",
+      "Mexican-Americans (communities) vs. African Americans median score: -3.625E-01, test stat = -3.100E+01 (p=3.639E-07)\n",
+      "Mexican-Americans (communities) vs. Anglos median score: -5.311E-01, test stat = -5.650E+01 (p=9.112E-16)\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"
+      "difference between paired scores = 1.311E-01, stat = 3.328E+03 (p=8.579E-01)\n",
+      "U.S. Hispanics vs. African Americans median score: -1.340E-01, test stat = -1.100E+01 (p=8.397E-02)\n",
+      "U.S. Hispanics vs. Anglos median score: -1.633E-01, test stat = -2.650E+01 (p=2.620E-04)\n"
      ]
     }
    ],
@@ -1152,412 +1197,6 @@
     "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": {},
@@ -1574,541 +1213,537 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 176,
-   "metadata": {},
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": false
+   },
    "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",
+      "Celtic fusion          0.320874\n",
+      "Kwaito                 0.317479\n",
+      "Hiplife                0.313744\n",
+      "Acid jazz              0.312143\n",
+      "Bhajan                 0.304639\n",
+      "Roots rock             0.304139\n",
+      "Fingerstyle guitar     0.298803\n",
+      "Pinoy hip hop          0.297579\n",
+      "Western swing          0.295815\n",
+      "Jazz-funk              0.294135\n",
+      "Supergroup (music)     0.293603\n",
+      "British Invasion       0.291603\n",
+      "Avant-garde jazz       0.291333\n",
+      "Cool jazz              0.290105\n",
+      "Music of Brazil        0.289466\n",
+      "Christmas carol        0.289092\n",
+      "Bachata (song)         0.284438\n",
+      "Cover band             0.284438\n",
+      "Psychedelic folk       0.282369\n",
+      "American folk music    0.280128\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",
+      "Music of Greece            0.000146\n",
+      "New Acoustic Music         0.000140\n",
+      "West Coast blues           0.000134\n",
+      "Cafe-chantant              0.000129\n",
+      "Boi (music)                0.000125\n",
+      "Straight-ahead jazz        0.000120\n",
+      "Trad jazz                  0.000116\n",
+      "Coupe-Decale               0.000105\n",
+      "Adult album alternative    0.000105\n",
+      "R&B/Soul                   0.000080\n",
+      "Heartland rock             0.000072\n",
+      "Hoedown                    0.000056\n",
+      "Active rock                0.000042\n",
+      "Comedy hip hop             0.000038\n",
+      "Vocal jazz                 0.000034\n",
+      "Cowpunk                    0.000031\n",
+      "Cakewalk                   0.000022\n",
+      "Chicago hip hop            0.000022\n",
+      "Stride (music)             0.000013\n",
+      "Cajun music                0.000007\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",
+      "Technical death metal    0.499690\n",
+      "Beautiful music          0.492976\n",
+      "Nu metal                 0.488689\n",
+      "Bass music               0.488689\n",
+      "Speedcore                0.482259\n",
+      "Industrial rock          0.482259\n",
+      "Music of Africa          0.475467\n",
+      "Indie folk               0.468480\n",
+      "Schlager music           0.461953\n",
+      "Unblack metal            0.456877\n",
+      "Traditional pop music    0.452581\n",
+      "British blues            0.450108\n",
+      "Deejay (Jamaican)        0.447812\n",
+      "Skate punk               0.445162\n",
+      "Go-go                    0.443157\n",
+      "Instrumental rock        0.429966\n",
+      "Chinese music            0.428675\n",
+      "Gangsta rap              0.421342\n",
+      "Video game music         0.419356\n",
+      "Groove metal             0.413365\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",
+      "West Coast blues           0.000161\n",
+      "Chicago hip hop            0.000138\n",
+      "Absolute music             0.000132\n",
+      "Australian folk music      0.000130\n",
+      "Canadian rock              0.000104\n",
+      "Slack-key guitar           0.000102\n",
+      "Scottish highland dance    0.000096\n",
+      "Adult album alternative    0.000088\n",
+      "Music of Greece            0.000064\n",
+      "Vocal jazz                 0.000057\n",
+      "New Acoustic Music         0.000046\n",
+      "Heartland rock             0.000044\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",
+      "Christian country music    0.000025\n",
+      "Active rock                0.000024\n",
+      "Cowpunk                    0.000019\n",
+      "Cakewalk                   0.000019\n",
+      "Hoedown                    0.000018\n",
+      "Stride (music)             0.000017\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",
+      "Bachata (song)         6.583140\n",
+      "Music of Texas         3.669291\n",
+      "Music of Brazil        2.742975\n",
+      "Red Dirt (music)       2.703789\n",
+      "Texas country music    2.659854\n",
+      "J-Rock                 2.654492\n",
+      "Music of Greece        2.604633\n",
+      "Cakewalk               2.106605\n",
+      "Outlaw country         1.916610\n",
+      "Fado                   1.711616\n",
+      "Active rock            1.706740\n",
+      "New Acoustic Music     1.673215\n",
+      "Roots rock             1.630111\n",
+      "Western swing          1.553621\n",
+      "Coimbra Fado           1.479357\n",
+      "Fingerstyle guitar     1.426347\n",
+      "Swing revival          1.385924\n",
+      "Foxtrot                1.372655\n",
+      "Asian Underground      1.371487\n",
+      "Bhajan                 1.357773\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",
+      "Bele                            0.336160\n",
+      "Nu jazz                         0.329157\n",
+      "Smooth jazz                     0.329157\n",
+      "Afro-punk                       0.288012\n",
+      "Hot R&B/Hip-Hop Songs           0.256011\n",
+      "Music of Africa                 0.252354\n",
+      "New jack swing                  0.246868\n",
+      "Urban adult contemporary        0.244517\n",
+      "African popular music           0.226753\n",
+      "R&B/Soul                        0.188090\n",
+      "Soul jazz                       0.106427\n",
+      "Urban contemporary gospel       0.092610\n",
+      "New Orleans rhythm and blues    0.000439\n",
+      "PBR&B                           0.000366\n",
+      "Women's music                   0.000366\n",
+      "Kayokyoku                       0.000346\n",
+      "Boi (music)                     0.000244\n",
+      "Straight-ahead jazz             0.000235\n",
+      "Atlanta hip hop                 0.000199\n",
+      "Marching band                   0.000002\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",
+      "Urban contemporary gospel    8.709856\n",
+      "Music of Africa              6.118922\n",
+      "Slow jam                     3.999991\n",
+      "New jack swing               3.597875\n",
+      "Hyphy                        3.497934\n",
+      "Crunk                        3.238088\n",
+      "Hot R&B/Hip-Hop Songs        3.111104\n",
+      "Ghetto house                 2.855290\n",
+      "Breakbeat hardcore           2.747468\n",
+      "Urban adult contemporary     2.669076\n",
+      "Chicago hip hop              2.563486\n",
+      "P-Funk                       2.433139\n",
+      "Underground hip hop          2.413575\n",
+      "Asian Underground            2.248672\n",
+      "Persian traditional music    2.158725\n",
+      "Cafe-chantant                2.146460\n",
+      "Gangsta rap                  2.087714\n",
+      "Bele                         2.014810\n",
+      "Old-school hip hop           1.921451\n",
+      "Soul jazz                    1.869610\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",
+      "Australian folk music           0.280780\n",
+      "Old-time music                  0.275904\n",
+      "Folk music of Ireland           0.194444\n",
+      "Punk jazz                       0.001717\n",
+      "Mexican Son music               0.001574\n",
+      "Ambient house                   0.001574\n",
+      "Art punk                        0.001574\n",
+      "Kayokyoku                       0.001574\n",
+      "PBR&B                           0.001259\n",
+      "Byzantine music                 0.001181\n",
+      "Women's music                   0.000994\n",
+      "Irish rock                      0.000899\n",
+      "New Orleans rhythm and blues    0.000726\n",
+      "Adult hits                      0.000675\n",
+      "Straight-ahead jazz             0.000556\n",
+      "Abwe                            0.000540\n",
+      "New Romanticism                 0.000370\n",
+      "Canadian rock                   0.000203\n",
       "Horror punk                     0.000009\n",
-      "Marching band                   0.000003\n",
-      "Beat (music)                         NaN\n",
+      "Marching band                   0.000002\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",
+      "Free jazz              1.220568\n",
+      "Hyphy                  1.027519\n",
+      "Sampling (music)       0.965012\n",
+      "Swing music            0.915426\n",
+      "Swing (dance)          0.905140\n",
+      "Texas country music    0.813712\n",
+      "Underground hip hop    0.543443\n",
+      "Tonic (music)          0.537050\n",
+      "Gangsta rap            0.483345\n",
+      "Chumba                 0.447542\n",
+      "Roots rock             0.447542\n",
+      "Marching band          0.439825\n",
+      "Old-school hip hop     0.436353\n",
+      "Organ (music)          0.406856\n",
+      "Midwest hip hop        0.402787\n",
+      "Lounge music           0.394890\n",
+      "Southern hip hop       0.389794\n",
+      "1990s in music         0.381015\n",
+      "Appalachian music      0.371804\n",
+      "American folk music    0.335656\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",
+      "Bele                         0.000714\n",
+      "Golden age hip hop           0.000714\n",
+      "Old-time music               0.000516\n",
+      "Jerkin'                      0.000516\n",
+      "Zydeco                       0.000516\n",
+      "Acid jazz                    0.000480\n",
+      "Doo-wop                      0.000448\n",
+      "1970s in music               0.000353\n",
+      "Afrobeat                     0.000336\n",
+      "Horrorcore                   0.000336\n",
+      "Mainstream Top 40            0.000305\n",
+      "Smooth jazz                  0.000305\n",
+      "Alternative country          0.000269\n",
+      "Western swing                0.000269\n",
+      "Adult contemporary music     0.000210\n",
+      "New jack swing               0.000210\n",
+      "Urban adult contemporary     0.000192\n",
+      "Hardcore hip hop             0.000153\n",
+      "Afro-punk                    0.000140\n",
+      "Urban contemporary gospel    0.000114\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",
+      "Hot R&B/Hip-Hop Songs    3.852361\n",
+      "Hyphy                    3.567001\n",
+      "Gangsta rap              1.824803\n",
+      "Underground hip hop      1.819171\n",
+      "Space age pop            1.391130\n",
+      "Old-school hip hop       1.295190\n",
+      "Crunk                    1.192398\n",
+      "Acoustic music           1.161823\n",
+      "Free jazz                1.050644\n",
+      "Sampling (music)         0.984492\n",
+      "Hook (music)             0.841437\n",
+      "Beautiful music          0.781173\n",
+      "Swing music              0.687922\n",
+      "Go-go                    0.676766\n",
+      "Mashup (music)           0.647897\n",
+      "Drone music              0.577854\n",
+      "Chumba                   0.563760\n",
+      "Swing (dance)            0.525322\n",
+      "Progressive rock         0.494560\n",
+      "Marching band            0.469198\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",
+      "Country rap                   0.000521\n",
+      "Sheet music                   0.000459\n",
+      "Foxtrot                       0.000438\n",
+      "Middle of the road (music)    0.000410\n",
+      "Stoner rock                   0.000378\n",
+      "Horrorcore                    0.000370\n",
+      "Christmas music               0.000363\n",
+      "Cool jazz                     0.000363\n",
+      "Red Dirt (music)              0.000350\n",
+      "Groove metal                  0.000344\n",
+      "Industrial rock               0.000332\n",
+      "Mainstream Top 40             0.000301\n",
+      "Bakersfield sound             0.000250\n",
+      "Outlaw country                0.000244\n",
+      "Old-time music                0.000216\n",
+      "British blues                 0.000214\n",
+      "Adult contemporary music      0.000175\n",
+      "1970s in music                0.000138\n",
+      "Alternative country           0.000101\n",
+      "Western swing                 0.000092\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",
+      "Bachata (song)                6.251571\n",
+      "Music of Texas                6.245165\n",
+      "Texas country music           4.617637\n",
+      "Red Dirt (music)              4.535180\n",
+      "J-Rock                        4.505920\n",
+      "Active rock                   3.448976\n",
+      "Outlaw country                3.214811\n",
+      "Roots rock                    3.144391\n",
+      "Cakewalk                      3.047641\n",
+      "1950s in music                2.930424\n",
+      "Jazz-funk                     2.539701\n",
+      "Country rap                   2.395944\n",
+      "Swing revival                 2.165429\n",
+      "Bakersfield sound             2.122216\n",
+      "Experimental hip hop          2.069386\n",
+      "Christian alternative rock    2.057157\n",
+      "Western swing                 2.031760\n",
+      "Horrorcore                    2.031760\n",
+      "1970s in music                2.005027\n",
+      "Pinoy hip hop                 1.998453\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",
+      "Absolute music           0.001494\n",
+      "Kwaito                   0.001411\n",
+      "Women's music            0.001411\n",
+      "PBR&B                    0.001411\n",
+      "Kayokyoku                0.001337\n",
+      "New Acoustic Music       0.001058\n",
+      "Cafe-chantant            0.000977\n",
+      "Boi (music)              0.000941\n",
+      "Free improvisation       0.000907\n",
+      "Straight-ahead jazz      0.000907\n",
+      "Trad jazz                0.000876\n",
+      "Coupe-Decale             0.000794\n",
+      "Atlanta hip hop          0.000770\n",
+      "Music of Brazil          0.000705\n",
+      "R&B/Soul                 0.000605\n",
+      "Pep band                 0.000591\n",
+      "Electric folk            0.000368\n",
+      "African popular music    0.000282\n",
+      "Lovers rock              0.000098\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",
+      "Urban contemporary gospel    10.930653\n",
+      "Slow jam                      7.715755\n",
+      "Hyphy                         5.757710\n",
+      "Crunk                         5.552078\n",
+      "Ghetto house                  4.575622\n",
+      "Music of Africa               4.310680\n",
+      "Chicago hip hop               4.164058\n",
+      "Underground hip hop           3.886454\n",
+      "P-Funk                        3.705306\n",
+      "Urban adult contemporary      3.643551\n",
+      "Old-school hip hop            3.517911\n",
+      "Gangsta rap                   3.183313\n",
+      "Cakewalk                      2.522458\n",
+      "Pinoy hip hop                 2.498435\n",
+      "Experimental hip hop          2.466404\n",
+      "Horrorcore                    2.242185\n",
+      "Hot R&B/Hip-Hop Songs         2.228996\n",
+      "Psychobilly                   2.196113\n",
+      "New York hardcore             2.143265\n",
+      "Doo-wop                       2.140586\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",
+      "Abwe                         0.002082\n",
+      "Mor lam                      0.002024\n",
+      "Gothabilly                   0.002024\n",
+      "Witch house (music genre)    0.001695\n",
+      "Anti-folk                    0.001656\n",
+      "Cafe-chantant                0.001656\n",
+      "Free improvisation           0.001619\n",
+      "Chinese music                0.001619\n",
+      "Trad jazz                    0.001518\n",
+      "New Romanticism              0.001429\n",
+      "Absolute music               0.000998\n",
+      "Australian folk music        0.000985\n",
+      "Canadian rock                0.000784\n",
+      "Slack-key guitar             0.000767\n",
+      "Scottish highland dance      0.000729\n",
+      "March (music)                0.000607\n",
+      "Pep band                     0.000384\n",
+      "New Acoustic Music           0.000347\n",
+      "Electric folk                0.000228\n",
+      "New jack swing               0.000116\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",
+      "Music of Texas          5.817513\n",
+      "Bachata (song)          5.044114\n",
+      "Red Dirt (music)        3.581745\n",
+      "Texas country music     3.545566\n",
+      "J-Rock                  3.359552\n",
+      "Cakewalk                3.342962\n",
+      "Roots rock              2.204151\n",
+      "Outlaw country          1.904219\n",
+      "Swing revival           1.867728\n",
+      "Horrorcore              1.851487\n",
+      "Ghetto house            1.800056\n",
+      "Experimental hip hop    1.785770\n",
+      "Foxtrot                 1.559319\n",
+      "Slow jam                1.526135\n",
+      "Wonky (music)           1.474836\n",
+      "Cover band              1.453892\n",
+      "Jazz-funk               1.446474\n",
+      "Hyphy                   1.416954\n",
+      "Appalachian music       1.394549\n",
+      "Active rock             1.380996\n",
+      "Name: mau_audience_pct, dtype: float64\n",
+      "Psychedelic folk           0.001543\n",
+      "1950s in music             0.001484\n",
+      "Cafe-chantant              0.001484\n",
+      "Boi (music)                0.001429\n",
+      "Free improvisation         0.001378\n",
+      "Straight-ahead jazz        0.001378\n",
+      "Trad jazz                  0.001330\n",
+      "Coupe-Decale               0.001205\n",
+      "Adult album alternative    0.001205\n",
+      "Bhajan                     0.001205\n",
+      "Atlanta hip hop            0.001169\n",
+      "House dance                0.001102\n",
+      "Music of Brazil            0.001071\n",
+      "R&B/Soul                   0.000918\n",
+      "Pep band                   0.000897\n",
+      "Heartland rock             0.000821\n",
+      "Twelve-bar blues           0.000433\n",
+      "African popular music      0.000429\n",
+      "Vocal jazz                 0.000386\n",
+      "Modal jazz                 0.000351\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",
+      "Urban contemporary gospel    11.067555\n",
+      "Ghetto house                  7.206780\n",
+      "Chicago hip hop               6.956749\n",
+      "Slow jam                      5.924397\n",
+      "Music of Africa               5.299956\n",
+      "New jack swing                5.270264\n",
+      "Hyphy                         4.918913\n",
+      "Crunk                         4.743238\n",
+      "Underground hip hop           3.443239\n",
+      "Gangsta rap                   3.320266\n",
+      "P-Funk                        3.001371\n",
+      "Urban adult contemporary      2.887188\n",
+      "Cakewalk                      2.766889\n",
+      "Old-school hip hop            2.671479\n",
+      "Hot R&B/Hip-Hop Songs         2.604131\n",
+      "New rave                      2.134457\n",
+      "Experimental hip hop          2.128376\n",
+      "Horrorcore                    2.043241\n",
+      "Soul jazz                     2.032816\n",
+      "Powerviolence                 1.984527\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",
+      "Absolute music             0.001516\n",
+      "Australian folk music      0.001496\n",
+      "Unblack metal              0.001456\n",
+      "Psychedelic folk           0.001302\n",
+      "Canadian rock              0.001190\n",
+      "Modal jazz                 0.001177\n",
+      "Slack-key guitar           0.001165\n",
+      "Scottish highland dance    0.001107\n",
+      "Adult album alternative    0.001006\n",
+      "Bhajan                     0.000922\n",
+      "March (music)              0.000922\n",
+      "Music of India             0.000791\n",
+      "Music of Greece            0.000738\n",
+      "1950s in music             0.000738\n",
+      "Twelve-bar blues           0.000692\n",
+      "Folk                       0.000692\n",
+      "Vocal jazz                 0.000651\n",
+      "Pep band                   0.000583\n",
+      "New Acoustic Music         0.000527\n",
+      "Heartland rock             0.000503\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",
+      "Music of Texas          7.304236\n",
+      "Red Dirt (music)        5.202262\n",
+      "Texas country music     5.019889\n",
+      "Bachata (song)          4.877415\n",
+      "Outlaw country          3.470757\n",
+      "J-Rock                  2.764010\n",
+      "Western swing           2.536256\n",
+      "Cakewalk                2.513406\n",
+      "Roots rock              2.448123\n",
+      "Active rock             2.327228\n",
+      "Bakersfield sound       2.277090\n",
+      "Country rap             2.231025\n",
+      "Swing revival           2.164656\n",
+      "Celtic punk             2.066504\n",
+      "Foxtrot                 2.041839\n",
+      "Alternative country     1.987876\n",
+      "1950s in music          1.911419\n",
+      "Experimental hip hop    1.904096\n",
+      "Horrorcore              1.885055\n",
+      "Appalachian music       1.845508\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",
+      "African popular music           0.209451\n",
+      "Music of Africa                 0.182793\n",
+      "Soul jazz                       0.154232\n",
+      "Urban contemporary gospel       0.142323\n",
+      "Asian Underground               0.001428\n",
+      "Anti-folk                       0.001428\n",
+      "Slack-key guitar                0.001318\n",
+      "Scottish highland dance         0.001142\n",
+      "New Orleans rhythm and blues    0.001142\n",
+      "Hiplife                         0.001142\n",
+      "PBR&B                           0.000952\n",
+      "Kwaito                          0.000952\n",
+      "Women's music                   0.000952\n",
+      "Kayokyoku                       0.000902\n",
+      "Boi (music)                     0.000635\n",
+      "Straight-ahead jazz             0.000612\n",
+      "Trad jazz                       0.000591\n",
+      "Coupe-Decale                    0.000536\n",
+      "Atlanta hip hop                 0.000519\n",
+      "R&B/Soul                        0.000408\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",
+      "Urban contemporary gospel    13.385272\n",
+      "Slow jam                      6.363227\n",
+      "New jack swing                5.385328\n",
+      "Crunk                         4.682894\n",
+      "Music of Africa               4.432260\n",
+      "Hyphy                         4.067180\n",
+      "Chicago hip hop               3.933631\n",
+      "Ghetto house                  3.773541\n",
+      "Urban adult contemporary      3.580887\n",
+      "Underground hip hop           3.278026\n",
+      "P-Funk                        3.250246\n",
+      "Gangsta rap                   2.846707\n",
+      "Soul jazz                     2.709389\n",
+      "Hot R&B/Hip-Hop Songs         2.660986\n",
+      "Old-school hip hop            2.628073\n",
+      "Experimental hip hop          2.269403\n",
+      "Music of Texas                2.166831\n",
+      "Horrorcore                    2.080286\n",
+      "Cakewalk                      2.080286\n",
+      "Powerviolence                 2.034637\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",
+      "Broken beat                     0.002235\n",
+      "All 80s music                   0.002138\n",
+      "Bal-musette                     0.002138\n",
+      "New Orleans rhythm and blues    0.001891\n",
+      "Adult hits                      0.001756\n",
+      "Computer music                  0.001537\n",
+      "Future garage                   0.001537\n",
+      "Speedcore                       0.001537\n",
+      "Straight-ahead jazz             0.001446\n",
+      "Abwe                            0.001405\n",
+      "Mor lam                         0.001366\n",
+      "Gothabilly                      0.001366\n",
+      "Anti-folk                       0.001118\n",
+      "Chinese music                   0.001093\n",
+      "Trad jazz                       0.001024\n",
+      "New Romanticism                 0.000964\n",
+      "Australian folk music           0.000664\n",
+      "Canadian rock                   0.000529\n",
+      "Slack-key guitar                0.000518\n",
+      "Scottish highland dance         0.000492\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",
+    "for e_pct, e_name in izip(expat_pct_list, 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",
@@ -2128,16 +1763,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 177,
+   "execution_count": 26,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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11lX8TB5MuqfaL69rjYh4qlu2qOf1hXvE7wOTSPXJrF3MD7zXXZk5iGxm/VJEzGh1GWyW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\nHiKd/zOBE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QPP7fQHhgD3AAPLynvmVcqHShon6T1JT0jaPn89lPt7TFKvsn0PlDQhl7+R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\nvlzpGg8Adih8bUdKr1C0a66/N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LP5L2CLqlqeZGfgkiSvrKoHJx2stRawG/AbwKPAt5Jc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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x15e5e240>"
+       "<matplotlib.figure.Figure at 0x7fccc8115350>"
       ]
      },
      "metadata": {},
@@ -2145,9 +1781,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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34lvv66Tjx/F7P761VrsfP+0e32x2tPvx3+7xrTM4wWzWAEnLAusBZwNExHRg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RFxdo3xDSGlQtg8Il7P26aXCiPiQdIK9JJTJZUCs/cVtt8UERfm7y+QdCiwA+kBdasDbwDXR0Qp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\nYJYkSZIkSZIktfInvN6FXHuLAs8AAAAASUVORK5CYII=\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x16469198>"
+       "<matplotlib.figure.Figure at 0x7fcc05301bd0>"
       ]
      },
      "metadata": {},
@@ -2192,7 +1828,7 @@
     "        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",
+    "        expat_data_list_i = [e_pct.loc[interest_i] for e_pct in expat_pct_list]\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",
@@ -2232,16 +1868,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 178,
+   "execution_count": 27,
    "metadata": {
+    "collapsed": false,
     "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",
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crgJSKipYvF9sDuxbpf4/kq6nB+fpXeCyKmXPJ+VRPAX4COkhYQtr35UlVvqj9gRJi/3t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\nZ5/Hc9qsa3hOm/UsntNmPYvntFnPUu2cdg1m6xEkfUjSxpJ6STqDdMO+K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       "text/plain": [
-       "<matplotlib.figure.Figure at 0xee5d278>"
+       "<matplotlib.figure.Figure at 0x7fccc9917310>"
       ]
      },
      "metadata": {},
@@ -2317,19 +1954,120 @@
    "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."
+    "Save combined data for later #plotting."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 117,
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>interest_pct</th>\n",
+       "      <th>group_name</th>\n",
+       "      <th>interest_name</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>8.483281e-09</td>\n",
+       "      <td>Mexicans in Mexico</td>\n",
+       "      <td>1940s in music</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2.460152e-05</td>\n",
+       "      <td>Mexicans in Mexico</td>\n",
+       "      <td>1950s in music</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3.138814e-04</td>\n",
+       "      <td>Mexicans in Mexico</td>\n",
+       "      <td>1960s in music</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.611823e-03</td>\n",
+       "      <td>Mexicans in Mexico</td>\n",
+       "      <td>1970s in music</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2.544984e-03</td>\n",
+       "      <td>Mexicans in Mexico</td>\n",
+       "      <td>1990s in music</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   interest_pct          group_name   interest_name\n",
+       "0  8.483281e-09  Mexicans in Mexico  1940s in music\n",
+       "1  2.460152e-05  Mexicans in Mexico  1950s in music\n",
+       "2  3.138814e-04  Mexicans in Mexico  1960s in music\n",
+       "3  1.611823e-03  Mexicans in Mexico  1970s in music\n",
+       "4  2.544984e-03  Mexicans in Mexico  1990s in music"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "expat_pct_list_combined = pd.concat([pd.DataFrame(x).assign(group_name=e_name) for e_data, e_name in izip(expat_pct_list_tmp, combined_names_d)], axis=0)\n",
+    "expat_pct_list_combined.loc[:, 'interest_name'] = expat_pct_list_combined.index\n",
+    "expat_pct_list_combined.index = np.arange(expat_pct_list_combined.shape[0])\n",
+    "expat_pct_list_combined.rename(columns={'mau_audience_pct':'interest_pct'}, inplace=True)\n",
+    "display(expat_pct_list_combined.head())\n",
+    "expat_pct_list_combined.to_csv('../../data/query_results/US_MX_population_interest_pct_combined.tsv',\n",
+    "                               sep='\\t', index=False)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
+   "source": [
+    "## Assimilation ratio robustness check: final plots!\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": 28,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "testing min count 1000\n",
       "'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"
@@ -2337,9 +2075,9 @@
     },
     {
      "data": {
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\n",
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HYGbmsqhBvqTNzMysiksuuYRLLrmk1WGY2RDnsqgxbuExMzOr4qyzzgLgwx/+cIsjMbOh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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x11e37400>"
+       "<matplotlib.figure.Figure at 0x7ff62492fa10>"
       ]
      },
      "metadata": {},
@@ -2349,6 +2087,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "testing min count 1\n",
       "'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"
@@ -2356,9 +2095,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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9nMqhbKniIyIivcLo0aOzDkFEejmVQ9nSo24iItIrXHPNNVxzzTVZhyEivZjKoWzpjo+I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\nAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x127a5048>"
+       "<matplotlib.figure.Figure at 0x7ff6238a4710>"
       ]
      },
      "metadata": {},
@@ -2368,6 +2107,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "testing min count 0\n",
       "'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"
@@ -2375,9 +2115,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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9nMqhbKniIyIivcLo0aOzDkFEejmVQ9nSo24iItIrXHPNNVxzzTVZhyEivZjKoWzpjo+I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\nAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0xfac5d30>"
+       "<matplotlib.figure.Figure at 0x7ff6238f7950>"
       ]
      },
      "metadata": {},
@@ -2387,6 +2127,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "testing min count 0\n",
       "'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"
@@ -2394,9 +2135,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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9nMqhbKniIyIivcLo0aOzDkFEejmVQ9nSo24iItIrXHPNNVxzzTVZhyEivZjKoWzpjo+I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\nAAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x12e63748>"
+       "<matplotlib.figure.Figure at 0x7ff626bef750>"
       ]
      },
      "metadata": {},
@@ -2404,13 +2145,20 @@
     }
    ],
    "source": [
+    "import pandas as pd\n",
+    "import matplotlib\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\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\n",
     "# 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",
+    "# 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",
@@ -2426,16 +2174,23 @@
     "               'Mexican immigrants (Gen. 2, interest)', \n",
     "               'Mexican immigrants (Gen. 2, Spanish)', \n",
     "               'Mexican immigrants (Gen. 2, communities)',\n",
-    "               'Mexican immigrants (Gen. 2, Hispanic)']\n",
+    "#                'Mexican immigrants (Gen. 2, Hispanic)'\n",
+    "              ]\n",
     "expat_data_list = [mx_data, expat_data, \n",
     "                   mx_interest_data, \n",
     "                   spanish_data, \n",
     "                   mx_communities_data, \n",
-    "                   hispanic_data]\n",
+    "#                    hispanic_data\n",
+    "                  ]\n",
     "dest_data_list = [white_data, black_data]\n",
     "dest_names = ['Anglo', 'African American']\n",
     "count_var = 'mau_audience'\n",
+    "y_label = 'Population name'\n",
+    "x_label = 'Log assimilation ratio'\n",
+    "label_size = 18\n",
+    "title_size = 24\n",
     "for min_count in min_counts:\n",
+    "    print('testing min count %d'%(min_count))\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",
@@ -2465,15 +2220,24 @@
     "            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",
+    "        # combine and write to file\n",
+    "        if(min_count == 1000):\n",
+    "            dest_assim_scores_df = pd.concat([pd.DataFrame(x).assign(pop_name=e_name, interest_name=x.index).rename(columns={0:'assim_score'}, inplace=False) \n",
+    "                                              for x, e_name in izip(dest_assim_scores, expat_names)], axis=0)\n",
+    "            dest_assim_scores_file = '../../data/query_results/%s_immigrant_assim_scores.tsv'%(d_name)\n",
+    "            dest_assim_scores_df.to_csv(dest_assim_scores_file, sep='\\t', index=False)\n",
+    "            pass\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_ylabel(y_label, fontsize=label_size)\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",
+    "        ax.set_title(d_name, fontsize=title_size, y=1.05)\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",
@@ -2481,6 +2245,12 @@
     "    for i in range(len(dest_data_list)):\n",
     "        ax = axs[i]\n",
     "        ax.set_xlim(x_min, x_max)\n",
+    "    # invisible frame for x label\n",
+    "    f.add_subplot(111, frameon=False)\n",
+    "    # hide tick and tick label of the big axes\n",
+    "    plt.tick_params(labelcolor='none', top='off', bottom='off', left='off', right='off')\n",
+    "    plt.grid(False)\n",
+    "    plt.xlabel(x_label, fontsize=label_size)\n",
     "    plt.tight_layout()\n",
     "    plt.show()"
    ]
@@ -2495,7 +2265,9 @@
   {
    "cell_type": "code",
    "execution_count": 121,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -2575,7 +2347,9 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": []
   }
@@ -2596,7 +2370,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython2",
-   "version": "2.7.14"
+   "version": "2.7.10"
   }
  },
  "nbformat": 4,
diff --git a/src/analysis/compare_mexican_american_estimates.ipynb b/src/analysis/compare_mexican_american_estimates.ipynb
index 5d19122..cc3f0b7 100644
--- a/src/analysis/compare_mexican_american_estimates.ipynb
+++ b/src/analysis/compare_mexican_american_estimates.ipynb
@@ -23,7 +23,9 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import pandas as pd\n",
@@ -42,7 +44,9 @@
   {
    "cell_type": "code",
    "execution_count": 171,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -423,7 +427,9 @@
   {
    "cell_type": "code",
    "execution_count": 205,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -721,7 +727,9 @@
   {
    "cell_type": "code",
    "execution_count": 100,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1174,7 +1182,9 @@
   {
    "cell_type": "code",
    "execution_count": 119,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -1302,7 +1312,9 @@
   {
    "cell_type": "code",
    "execution_count": 172,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1405,7 +1417,9 @@
   {
    "cell_type": "code",
    "execution_count": 173,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -1522,7 +1536,9 @@
   {
    "cell_type": "code",
    "execution_count": 177,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -1591,7 +1607,9 @@
   {
    "cell_type": "code",
    "execution_count": 199,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -1664,7 +1682,9 @@
   {
    "cell_type": "code",
    "execution_count": 209,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -1818,7 +1838,9 @@
   {
    "cell_type": "code",
    "execution_count": 202,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2254,7 +2276,9 @@
   {
    "cell_type": "code",
    "execution_count": 210,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -2502,7 +2526,9 @@
   {
    "cell_type": "code",
    "execution_count": 225,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stdout",
@@ -2638,7 +2664,9 @@
   {
    "cell_type": "code",
    "execution_count": 226,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -2788,7 +2816,9 @@
   {
    "cell_type": "code",
    "execution_count": 228,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -2868,7 +2898,9 @@
   {
    "cell_type": "code",
    "execution_count": 250,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -3009,7 +3041,9 @@
   {
    "cell_type": "code",
    "execution_count": 253,
-   "metadata": {},
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "name": "stderr",
@@ -3171,8 +3205,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "import os, re\n",
@@ -3199,8 +3235,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "# translate columns into something useful\n",
@@ -3365,6 +3403,10 @@
    "cell_type": "code",
    "execution_count": 5,
    "metadata": {},
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -3563,11 +3605,11 @@
      },
      "execution_count": 5,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "us_pums_data.head()"
+    "display(us_pums_data.head())"
    ]
   },
   {
@@ -3582,9 +3624,46 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "processed 10 replicates\n",
+      "processed 20 replicates\n",
+      "processed 30 replicates\n",
+      "processed 40 replicates\n",
+      "processed 50 replicates\n",
+      "processed 60 replicates\n",
+      "processed 70 replicates\n",
+      "processed 80 replicates\n",
+      "Two-year degree,Some college      0.327952\n",
+      "High school graduate              0.324723\n",
+      "Less than high school graduate    0.179428\n",
+      "Bachelor's degree or more         0.167897\n",
+      "0-17                              0.476257\n",
+      "18-29                             0.220431\n",
+      "30-39                             0.110040\n",
+      "40-49                             0.076573\n",
+      "50-64                             0.072542\n",
+      "65+                               0.044156\n",
+      "West                              0.443841\n",
+      "South                             0.428772\n",
+      "Midwest                           0.103557\n",
+      "Northeast                         0.023830\n",
+      "Never married                     0.483439\n",
+      "Married                           0.377384\n",
+      "Divorced,separated,widowed        0.139177\n",
+      "male                              0.500438\n",
+      "female                            0.499562\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
    "source": [
     "pd.np.random.seed(123)\n",
     "R = 80\n",
@@ -3644,8 +3723,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {},
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "from __future__ import division\n",
@@ -3665,16 +3746,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 7,
    "metadata": {
+    "collapsed": false,
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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TB7CZWSYOYDOzTBzAZmaZ+E+RrWaMGDyAJr+xjPUingGbmWXiADYzy8QBbGaWiQPYzCwT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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x25911710>"
+       "<matplotlib.figure.Figure at 0x7f7845873510>"
       ]
      },
      "metadata": {},
@@ -3717,8 +3799,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
-   "metadata": {},
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
@@ -3726,7 +3810,7 @@
        "(54, 4)"
       ]
      },
-     "execution_count": 146,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3737,7 +3821,7 @@
     "                      'US_hispanic_non_expats_mexican_aligned',\n",
     "                      'List_of_Mexican-American_communities']\n",
     "demographic_names = ['age', 'gender', 'education', 'marital', 'region']\n",
-    "data_dir = '..\\..\\data\\query_results\\Mexican_American_query_tests'\n",
+    "data_dir = '../../data/query_results/Mexican_American_query_tests'\n",
     "facebook_estimate_data = []\n",
     "count_var = 'mau_audience'\n",
     "for mx_american_group in mx_american_groups:\n",
@@ -3777,13 +3861,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
-   "metadata": {},
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -3850,7 +3949,7 @@
        "4  US_hispanic_non_expats_spanish_speaking  "
       ]
      },
-     "execution_count": 147,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3861,13 +3960,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
-   "metadata": {},
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
       "text/html": [
        "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
@@ -3946,7 +4060,7 @@
        "4       age   US_hispanic_non_expats_mexican_aligned  "
       ]
      },
-     "execution_count": 148,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3968,8 +4082,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
-   "metadata": {},
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "facebook_survey_data.to_csv('../../data/pop_stats/facebook_survey_mx_american_demographic_estimates.tsv',\n",
@@ -3987,14 +4103,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 175,
-   "metadata": {},
+   "execution_count": 44,
+   "metadata": {
+    "collapsed": false
+   },
    "outputs": [
     {
      "data": {
-      "image/png": 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4qi5Nsg/NfavPoel/l9Nc6Xxj3fczsIZCVd3UDls9liYkrqH5eIHncM+kGF36D5rP7noWzWfPbUAz6+64AauqbkzyOJrnf+z/4J00z+03aUI1NG9qvovmZ7wfzaQjV9DMQvmWquq/x3K9jX0GgyRpiKT5ZPuTquqQQbdFkiRNnfdgSZIkSVJHHCIoSZIGpv3st6ncXH71JFNKS52yX2omDFiSJGmQfg/46jpLNfdJXTK7TZF+zX6p9WbAkqQhVFVOxayF4v9oZlZbl1/OdkOkHvZLrTcnuZA09LbddttasmTJoJshjWvVqlXXVNV2Xddrv9cws99rIZpqv/cKlqSht2TJElauXDnoZkjjSnLpbNRrv9cws99rIZpqv3cWQUmSJEnqiAFLkiRJkjpiwJIkSZKkjhiwJEmSJKkjBixJkiRJ6ogBS5IkSZI6YsCSJEmSpI4YsCRJkiSpIwYsSZIkSeqIAUuSJEmSOmLAkiRJkqSOGLCkBSjJUUlOWc99K8luE2w7JMk3Z9Y6SZKk0WXAkmZZkmclOS/JLUkuSrJvu35JG1bW9CyvH3R7JUmStP4WDboB0nyW5A+BtwJ/BXwXePA4xbaqqjvntGFDKMmGVXXXoNshSZI0E17BkmbXPwFHV9WZVXV3Vf2iqn6xPhUlOaK9AnZzknOTPL1n2yFJvpnkHUmuT/KzJH/cs/03knyt3ffLwLbrONaLk1yY5Lokn0myeIJy27Tbb0ryXeChfdt/M8mX23rOT/LMnm0fTvKeJF9IcgvwhPV5XiRJkoaJAUuaJUk2BJYB27Vh5fIk/5Zk076il7bbPpRksuBzEbAv8ACa4HZKkt4rYvsA59OEp7cBH0iSdtupwKp22z8DB0/S7icCbwGeSXPF7VLgPyco/m5gbVvuBe0yVs9mwJfbY28PPBs4IckjevY/EHgTsAXgvVuSJGnkGbCk2bMDcD/gL2mC0V7A3sDr2u3XAI8GdgGW0oSMj05UWVWdVlWr2ythHwN+Cjymp8ilVfW+dpjdSTShZ4ckO7fHeX1V3V5VXwc+O0m7DwI+WFXfr6rbgf8H/G6SJb2F2gD5F8CRVXVLVf2oPe6YPwUuqaoPVdWdVfV94JPt8zHm9Kr6VntOa/vqPzTJyiQrr161CpLuF2mY2e+1ENnvNQ8YsKTZc1v79V+r6oqqugY4FtgfoKrWVNXKNnxcCbwCeHKSLcerLMnzkpyT5IYkNwCP5N5D/X459k1V3dp+uzmwGLi+qm7pKXvpJO1e3Lu9qtYA1wI79pXbjuY+zssmqHcXYJ+x9rZtPgh4UE+Z3n3vpapOrKplVbVsu0kaK0mSNEyc5EKaJVV1fZLLgZrqLu3X+7zVlmQX4H3Ak4DvVNVdSc4Zr+w4rgC2TrJZT8jaeZJ2raYJR2PH3gzYBui/d+xq4E5gJ+AnPfWOuQz4WlX94SRtm+pzI0mSNBIMWNLs+hDwN0n+G7gDeCXwOYAk+wA30Az12xo4HlhRVTeOU89mNGHk6nbf59NcwVqnqro0yUrgn5L8I82wwqcCn5lgl1OB/0xyKnAe8GbgrKq6pK/eu5J8CjgqyQuAJTT3do2V+xxwTJLncs89XHsBa6rqvKm0fX0sn1bhqZdesWLF9BoizaHl0yo89dL2ew2z5dMqPPXS9nvNlEMEpdn1z8D3gAtowsrZNJM6AOwK/DdwM/Aj4HaaiSDuo6rOBf4F+A5wJfBbwLem0Y4DaSbBuA54A3DyRAWr6n+B19PcL3UFzcyAz5qg+CtohiH+EvgwTaAcq+dm4MntvqvbMm8FNp5GuyVJkkZKqhyhI2m4LUtq5WxU7N8/dSDJqqpa1nW99nsNM/u9FqKp9nuvYEmSJElSRwxYkiRJktQRA5YkSZIkdcSAJWn4LV3ajJ/vepGGmf1eC5H9XvOAAUuSJEmSOmLAkiRJkqSOGLAkSZIkqSMGLEmSJEnqiAFLkiRJkjpiwJIkSZKkjhiwJEmSJKkjBixJkiRJ6ogBS5IkSZI6YsCSJEmSpI4YsCRJkiSpIwYsSZIkSeqIAUuSJEmSOmLAkiRJkqSOGLAkSZIkqSMGLEmSJEnqiAFLkiRJkjqyaNANkKR1uXTNdbzkG6dOa5/VZ5/LGUcez35HH8bivffsvE3j1f/efQ/s/DhauK689laOPWnleu174XmrOPmEI3jey49ht4cvXa86XnXwsvXaT5qRtefCBXvNqIoVZ63hgMMv4bTjlrB8n83XvcPu58zoeFI/r2BJmncGEa6kYdFFuJJG1bTDlTQLDFiS5hXDlRYyw5UWMsOVhoUBS9K8YbjSQma40kJmuNIwMWBJmhcMV1rIDFdayAxXGjYGLEkjz3ClhcxwpYXMcKVhZMCSBECSFUnWJlnTLuf3bDswyaVJbkny6SQPXEdduyb5XJKbk1yT5G3jlHlYe7xTZtJuw5UWMsOVFjLDlYaVAUtSr1dU1ebtsgdAkkcA7wWeC+wA3AqcMFEFSTYCvgx8BXgQ8BBgvBD1buB7M2ms4UoLmeFKC5nhSsPMgCVpXQ4CPltVX6+qNcDrgWck2WKC8ocAq6vq2Kq6parWVtUPegskeRZwA/C/69sow5UWstkOVxeet6rzOqWuGK407FJVg26DpCGQZAXwCCDA+cBrq2pFktOBb1fVW3vKrgEeX1X3eRWW5IPA/YBtgUcDPwL+pqp+2G7fElgJPAl4IbBbVT1nnHoOBQ4F2BmWXtrhuc6YfzfVI8mqqur8U3mXJbV+HzM8S+z36mG/10I01X7vFSxJY/4B2BXYETgR+GyShwKbAzf2lb0RmOgK1kOAZwHHA4uBzwOnt0MHAf4Z+EBVXTZZY6rqxKpaVlXLtlufs5EkSRoAA5YkAKrqrKq6uapur6qTgG8B+wNrgC37im8J3JzkoJ5JMb7YbrsN+GZVfbGqfgW8A9gGeHiSvYD9gHfOyUlJkiTNsUWDboCkoVU0wwV/DPzO2MokuwIbAxe0QwQ/2rffD4DHTVDncmAJ8PMk0Fwd2zDJnlX1qC4bPx3Lp73D9PZYsWLFdI8gzbrl095henvY7zWMlk97h+ntYb8XeAVLEpBkqyR/lGSTJIuSHAT8AfAlmgD11CT7JtkMOBr4VFXdPEF1pwCPTbJfkg2BVwLXAOfRDD18KLBXu/w7zRDCP5rN85MkSZorXsGSBM2kFG8EfhO4C/gJ8OdVdT5AkpfSBK1tgDOA509UUVWdn+Q5NOFpe+D7wJ+1wwV/RTPNO229a4C1VXX1bJzUVK2Y9g7T3kMaOiumvcO095CGzopp7zDtPSQDliRoA86jJ9l+KnDqNOr7FPCpKZQ7aqp1SpIkjQKHCEqSJElSRwxYkiRJktQRA5ak4bd0afNhj8OySHPBfq+FyH6vecCAJUmSJEkdMWBJkiRJUkcMWJIkSZLUEQOWJEmSJHXEgCVJkiRJHTFgSZIkSVJHDFiSJEmS1BEDliRJkiR1xIAlSZIkSR0xYEmSJElSRwxYmlVJtk6yNkklec6g2yNJkiTNJgOWZttBwEbAz4AXDrgtkiRJ0qwyYGm2vRD4KvAu4PFJHjrg9kiSJEmzxoClWZPkUcBewEnAR4E7gOePU27DJK9Pcmk7nPAHSf4qyVHt0MIlfeUfnOQ9SX6e5FdJVic5Mcn2c3BakiRJ0oQWDboBmtdeCNwCfLKqbknyeeDgJEdW1d095f4NeCnNla53ANsBJ9AMK7yXJDsD36EZdvgB4CJgN+BlwBOSLKuqG2fxnCRJkqQJGbA0K5JsAjwb+ERV3dKuPgl4OvBHwBfbco+gCVdfAvYfC15JTgPOGafqfwXuB+xdVZf3HO804Ezgb4GjZuGUJEmSpHVyiKBmyzOArWlC1ZjPA1cBL+hZ96ft1+N6r2pV1Q9pQtevJXlAW/4zwNok244twCXAhcCTOz4PSZIkacq8gqXZ8kLgauDyJLv1rP8ycECSbavqGuA32vXnj1PH+cAf9zzeg+ZNgRcy8YyEF8+o1RpKl665jqce/zrOOPJ49jv6MBbvvWfnx1h99rkzrv+9+x7Ycau0kF157a0ce9JKAC48bxUnn3AEz3v5Mez28KWdH2u26n/Vwcs6q0sLxNpz4YK97rVqxVlrOODwSzjtuCUs32fzzg855fp3H29gjXRfBix1LslvAE8AAlwwQbHn0MwsmOlU3X49hXtfGet12zTq04i449bbhj5cSbNlVMOV1IWhCVfSNBiwNBueTxOGXgzcMM72N9JcgXoX90xksQf3vfq0R9/jC4ECNqqqMzprrYbeTauv4k+O/X+GKy04histZIYrjSoDljqVZAPgEOCHVfX+Cco8AjgqyaOBzwJvAQ5P8qWeSS5+i2YyjF+rqmuTfAF4RpLHVtWZffUG2Laqru76vDRYWy7e3nClBef2tbeMdLi68LxVgEMEtX4MVxplTnKhrj0Z2An45CRlxra9sKp+DJxIE6bOSPI3SY4GVgBnt+WqZ9+XAauBryd5f5K/bvd5J82U7X/d3aloWNzv/pt2XqfhSsPu2qt+MdLh6uQTjui8Xi0MhiuNOq9gqWtjk098aqICVfWjJBcAz0ryt8DLaULTC2k+B+t8miD1GGApPfdVVdVlSZYC/wA8jeZerrXAZTRXwz7e9Qlp/jFcaRRss/2OIx2unvfyYzqvW/PfzbfcbbjSyPMKljpVVQdUVdpp1icrt0dVbVVVt1XVXVX1T1W1c1VtXFW/XVUfp7kH61bg2r59r6mqV1fV7lW1SVvPb1XV4VV17iye3ryX5GFJ1iY5pWfdgUkuTXJLkk8neeAU6/pKkkqyqGfd7yX5bpKbk/wgye/PxnlMxnClUbHxJpt1Xqf3dGnYXXzZ7YYrjTwDlgYuyX3GfyX5bZop2r9SVXfNfasWrHcD3xt70N4v917gucAONIH3hHVVkuQg+q6Qt8HsM8Dbga2AtwGfTbJ1V41fF8OVFjLDlUbBrjttbLjSyDNgaRgcnOTbSV6b5NAkxwLfBn4FHDngti0YSZ5FM+vj//asPgj4bFV9varWAK+nmWRki0nqeQDwBuA1fZt+D7iyqk5rr1qeQvNZac/o8jwmMtvhavXZXjzV8DJcaVRssVn3L00NV5prqap1l5JmUZLHAP8M7AU8ELgZ+CbwT1W1apBtWyiSbAmsBJ5Ecy/cblX1nCSnA9+uqrf2lF0DPH6in02Sd9NMqf9fNNPw36+q7kzyVOCtVbVnT9mfAp+rqr8dp55DgUMBdoall3Z0rp3y76eAJKuqqvPp8pYltbLrSrtgvxf2ey1MU+33TnKhgauq79I3Jbvm3D8DH2gnEeldvzlwY1/ZG4Fxr2AlWQY8DjgceEjf5m8Di5M8G/gEcCDwUOD+49VVVSfSzDDJssT/bJIkaSQ4RFBa4JLsBewHvHOczWuALfvWbQncnOSgJGva5YvtZ6CdABxeVXf2V1RV19LM/Pgq4ErgKcAZwOXdnY0kSdJgeQVL0nJgCfDz9urV5sCGSfYE/hv4nbGCSXYFNgYuaIcIfrRn21Y0nyr6sbaeDdtNlyc5oKq+UVVfAx7dll9E89ll/zKbJydJkjSXDFiSTgT+s+fx39MErpcB2wPfSbIv8H3gaOBTVXXzOPXcCCzuebwT8F2azzK7GiDJ3sCPgE3bui6vqi91eTJdWz7pxom3rlixotuGSHNo+aQbJ95qv9coWz7pxom32u/Vz4AlLXBVdSvN9OvAryexWFtVVwNXJ3kpzZWqbWiG9D1/gnoK+GVPPZu0317ZM2TwNcD+7ff/DTy9w1ORJEkaOGcRlDT0nFVKw8zZ1LQQ2e+1EE213zvJhSRJkiR1xIAlSZIkSR0xYEkafkuXNsMzhm2RZpP9XguR/V7zgAFLkiRJkjpiwJIkSZKkjhiwJEmSJKkjBixJkiRJ6ogBS5IkSZI6YsCSJEmSpI4YsCRJkiSpIwYsSZIkSeqIAUuSJEmSOmLAkiRJkqSOGLAkSZIkqSMGLEmSJEnqiAFLkiRJkjpiwJIkSZKkjhiwJEmSJKkjBixJkiRJ6ogBS5IkSZI6smjQDZCkdbl0zXW85BunTmuf1WefyxlHHs9+Rx/G4r337LxNs1n/e/c9sNP6NJquvPZWjj1p5Xrte+F5qzj5hCN43sspfneRAAAgAElEQVSPYbeHL+24ZcNV/6sOXtb58TVAa8+FC/aaURUrzlrDAYdfwmnHLWH5Ppt31LC5rX/5cy/svF7NHa9gSZp3RjlcSTM1TOFnGOvX/DYfwtUBh1/Seb2aWwYsSfPKqIer1Wef23mdWjhGPfwYrjQT8yVcnXbcks7r1twyYEmaN+ZDuDrjyOM7r1cLw6iHH8OVZmI+havZqF9zy4AlaV6YL+Fqv6MP67xuzX+jHn4MV5qJUQ8/hqv5x4AlaeTNp3DlPV2arlEPP4YrzcSohx/D1fxkwJJEklOSXJHkpiQXJHlRz7YnJflJkluTfDXJLpPU84QkP0xyQ5Jrk/xXkh17tu+Y5PQk1yW5PMlLZ9r2UQ8/hivNxKiHH8OVZmLUw4/hav4yYEkCeAuwpKq2BP4MeGOSpUm2BT4FvB54ILAS+Ngk9ZwL/FFVbQUsBn4KvKdn+ynAz4AdgD8B3pzkCevb6FEPP4YrzcSohx/DlWZi1MOP4Wp+83OwJFFVP+592C4PBZYCP66q0wCSHAVck+Q3q+on49RzZd+qu4Dd2n03B5YDz6yqO4D/S/IJ4AXAV6fb5lEPP4YrzcSohx/DlWZi1MOP4Wr+S1UNug2ShkCSE4BDgE2Bs4E/AN4EbFRVL+sp9yPgDVX1yQnq2Rn4AbAlTcB6cVV9OMkWwE3ADlV1VVv2fcCyqtp7nHoOBQ4F2BmWXtrViQ4b/waPvCSrqqrzT7tdltT6fczwCLDfjzz7/Xqw34+8qfZ7hwhKAqCqXg5sAexLMyzwdmBz4Ma+oje25Saq5+ftEMFtgdcBP2nX3wx8C3h9kk2SPAr4C+D+E9RzYlUtq6pl283ozCRJkuaOAUvSr1XVXVX1TeAhwMuANTRXonptCdycZN8ka9rlx+PUdR1wEnB6krHhyAcBvwFcRnNv1keBy2fnbCRJkuae92BJGs8imnuwfgwcPLYyyWZj69t7sNY1eHwRsD1NKLuuqi4F/rSnvlOB73bbdEmSpMExYEkLXJLtgScCnwNuA/YDng0cCHwbeHuSvwA+DxwJ/GC8CS7aup5BE8p+CmwDHAuc3V7NIsnDaa5Y3Q48E3gy8PBZO7khsnzCDeNvWbFixew0RJpDyyfccN8t9nnNF8sn3HDfLfb7+ckhgpKKZjjg5cD1wDuAV1bV6VV1Nc19Um9qt+0DPGuSunYE/hu4GfghcDfw9J7tfwRc3Nb1UuAp7TEkSZLmBWcRlDT0nFVKw8zZ1NaD/X7k2e/Xg/1+5DmLoCRJkiTNMQOWJEmSJHXESS4kDb+lS2HlvB00Io3Pfq+FyH6vecArWJIkSZLUEQOWJEmSJHXEgCVJkiRJHTFgSZIkSVJHDFiSJEmS1BEDliRJkiR1xIAlSZIkSR0xYEmSJElSRwxYkiRJktQRA5YkSZIkdcSAJUmSJEkdMWBJkiRJUkcMWJIkSZLUEQOWJEmSJHXEgCVJkiRJHTFgSZIkSVJHDFiSJEmS1JFFg26AJK3LpWuu46nHv44zjjye/Y4+jMV779n5MVaffa71z2H97933wA5aNb9dee2tHHvSSgAuPG8VJ59wBM97+THs9vClnR/L+te//lcdvKzz4y1oa8+FC/a616oVZ63hgMMv4bTjlrB8n807P6T1D0f9V193Z+d1D4pXsCQNvTtuvW2kwoP1q0vzOZxYv9ZlvoQH6193/fOJAUvS0Ltp9VUjGx6sXzMx6uHB+jUT8yk8WP/c1z9IBixJQ2/LxduPZHiwfs3E7WtvGenwYP2aiVF/cW/9g61/0AxYkobe/e6/aed1jno4GfX6tW7XXvWLkQ0P1q+ZGPUX99Y/2PqHgQFL0oIz6uFkPtSvddtm+x1HMjxYv2bi5lvuHukX99Y/2PqHhQFLEklekWRlktuTfLhv2zOTnJfk5iTnJvnzSerZPcnpSa5Ocl2SLyXZo2f7xknemWR1kuuTnJDkfrN4avcxH8LJfKhf67bxJpt1Xueoh5NRr1/rdvFlt4/si3vrH2z9w8SAJQlgNfBG4IO9K5PsCJwCvArYEng1cGqS7SeoZyvgM8AewA7Ad4HTe7YfASwDHgnsDjwKeF1nZ7EO8yWczIf6NfdGPZyMev2aml132ngkX9xb/2DrHzYGLElU1aeq6tPAtX2bHgLcUFVfrMbngVuAh05Qz3er6gNVdV1V3QG8E9gjyTZtkacCx7fbrwaOB14wKyfVZz6FE+vXdI16OBn1+jV1W2zW/UvTUQ8P1j96UlWDboOkIZHkjcBDquqQ9vGGwFeAfwE+TxOQ/g3Yo6pumUJ9fw68p6oe3D5eBby1qj7ePj6I5grZVlV1Y9++hwKHAuwMSy/t5Aw1pxbI/5ckq6qq80+bXZbUyq4r1eyz38+I/X5E2e/vZdFcNEbSaKqqu5KcDJwKbAL8CjhgiuHqIcC7aYYXjvkicHiSrwIbAmNjxe4P3CtgVdWJwInQ/MOd4alIkiTNCYcISppQkv2AtwHLgY2AxwPvT7JXu31Nz7Jzz37bAf8DnFBV/9FT5ZuAs4FzgG8DnwbuAK6ag9ORJEmadQYsSZPZC/h6Va2sqrur6nvAWcB+AFW1ec/yc4AkW9OEq89U1Zt6K6uq26rqFVW1Y1XtSnPP16qqumtOz0qSJGmWOERQEkkW0fw92BDYMMkmwJ3A94AjkuxVVeck2RvYFzhhgnq2BL4EfKuqjhhn+45AAVcA+wCvB144C6ekji1fr52mv9eKFSvW50hS55av947T39N+r2GxfL13nP6e87nfewVLEjRTpd9GM436c9rvX1dVXwOOAj6R5Gbgk8Cbq+p/Jqjn6cCjgedPMHzwoTRDA28BTgKOmKQuSZKkkeMsgpKGnrNKjagF8v/F2dR0L/b7GbHfjyj7/b14BUuSJEmSOmLAkiRJkqSOOMmFpOG3dCmsdNCIFhj7vRYi+73mAa9gSZIkSVJHDFiSJEmS1BEDliRJkiR1xIAlSZIkSR0xYEmSJElSRwxYkiRJktQRA5YkSZIkdcSAJUmSJEkdSVUNug2SNKkkNwPnD7odHdoWuGbQjejQQj+fXapqu64bYb8fegv9fOz3U7PQ+8mwm5V+v2j92yNJc+b8qlo26EZ0JclKz2d4DdH52O+HmOcza+z3Q8zzmRqHCEqSJElSRwxYkiRJktQRA5akUXDioBvQMc9nuA3L+QxLO7ri+Qy3YTmfYWlHVzyf4TYr5+MkF5IkSZLUEa9gSZIkSVJHDFiShkaSpyQ5P8mFSY4YZ/vGST7Wbj8ryZK5b+XUTeF8XpXk3CQ/SPK/SXYZRDunal3n01PuL5NUkqGeaWoq55Pkme3P6MdJTh1EO+z3g2W/t99Phf3efn8vVeXi4uIy8AXYELgI2BXYCPg/YM++Mi8H/r39/lnAxwbd7hmezxOA+7ffv2zUz6cttwXwdeBMYNmg2z3Dn8/DgLOBrdvH2w+oHfb7IT6ftpz9vvt22O+H+Hzacvb7CRavYEkaFo8BLqyqi6vqV8B/Ak/rK/M04KT2+08AT0qSOWzjdKzzfKrqq1V1a/vwTOAhc9zG6ZjKzwfgn4G3AWvnsnHrYSrn82Lg3VV1PUBVXTWgdtjvB8d+b7+fCvv9cJvzfm/AkjQsdgQu63l8ebtu3DJVdSdwI7DNnLRu+qZyPr1eCHxxVls0M+s8nyR7AztV1efmsmHraSo/n92B3ZN8K8mZSZ4yoHbY7wfHfm+/nwr7/XCb836/aCY7S1KHxntnsn+a06mUGRZTbmuS5wDLgMfPaotmZtLzSbIB8E7gkLlq0AxN5eeziGbYyHKad5u/keSRVXXDHLfDfj849nv7/VTY74fbnPd7r2BJGhaXAzv1PH4IsHqiMkkWAQ8ArpuT1k3fVM6HJPsBrwX+rKpun6O2rY91nc8WwCOBFUkuAR4LfGaIb3yean87varuqKqfAefT/AMeRDvs94Nhv7ffT4X93n5/b4O+8czFxcWlqqB59+hi4De45ybUR/SV+WvufdPzxwfd7hmez940N94+bNDt7eJ8+sqvYLhvep7Kz+cpwEnt99vSDDHZZgDtsN8P8fn0lbffd9cO+/0Qn09feft93+IVLElDoZox9q8AvgScR/PP9MdJjk7yZ22xDwDbJLkQeBUw4dSxgzbF83k7sDlwWpJzknxmQM1dpymez8iY4vl8Cbg2ybnAV4FXV9W1A2iH/X5A7Pf2+6mw3w+3QfT7tElNkiRJkjRDXsGSJEmSpI4YsCRJkiSpIwYsSZIkSeqIAUuSJEmSOmLAkiRJkqSOGLAkSZIkqSMGLEmSJEnqiAFLkiRJkjpiwJIkSZKkjhiwJEmSJKkjBixJkiRJ6ogBS5IkSZI6YsCSJEmSpI4YsCRJkiSpIwYsSZIkSerIokE3QJLWZdttt60lS5YMuhnSuFatWnVNVW3Xdb32ew0z+70Woqn2ewOWpKG3ZMkSVq5cOehmSONKculs1Gu/1zCz32shmmq/d4igJEmSJHXEgCVJkiRJHTFgSZIkSVJHDFiSJEmS1BEDliRJkiR1xIAlSZIkSR1xmnZJQ+/SNdfxkm+cOu621WefyxlHHs9+Rx/G4r33nFJ97933wC6bJ82KK6+9lWNPmny66gvPW8XJJxzB815+DLs9fGlnx37Vwcs6q0ualrXnwgV7TanoirPWcMDhl3DacUtYvs/mMzvu7ufMbH+ph1ewJI2s9QlX0nwxW+FKGgWdhiupYwYsSSPJcKWFzHClhcxwpWFnwJI0cgxXWshmO1xdeN6qzuuUumK40igwYEkaKYYrLWRzEa5OPuGIzuuVumC40qgwYEkaGYYrLWRzFa6e9/JjOq9bminDlUaJAUvSSDBcaSGby3DlPV0aNrMdrlactabzOrWwGbAkDb07br3NcKUFy3ClhWwuwtUBh1/Seb1a2AxYGglJfpnk9wfdjoUkyTFJ3t9+/5tJ7hxUW25afZXhSguS4UoL2VyFq9OOW9J53VrYDFgjIMmanuXuJLf1PD5o0O3TPZL8ZZIfJLkpydVJvpzkIYNu16jbcvH2histOLevvcVwpQVrLsOV93Spa4sG3QCtW1X9+jc/ySXAi6rqjMG1qDtJFlXVwK6MdHn8JHsC7wf+DPgGsAXwFODuLupfyO53/00H3QRpzl171S94yavfbbjSgmO40qjzCtaIS7JFkrVJtmwfvzHJ7Uk2bR+/I8kx7fcPTHJqe2XlZ0lekyQT1PuBJG/qW/flJC9tv98pyelJrkly8dj6dtvjkpyV5MYkq5O8M8midtsmSSrJy5JcBPxoguO/MMnP27a+um/bhkle3x73miQfTbJVz/YX9ez7mt7hhe2wt1OTfCzJzcCzplDfvu353JDk+0keN8GP41HAT6rq69W4qao+XlWr23o2TfLuJFckuTzJ25Pcr932lCQXJnld24ZfJNk/ydOSXJTk2iR/N9XnYJzn84CeK2s/TfKkdv3OSb6Q5LokFyQ5eKI6+up7YJKT2+f2siRvSLJBu21RkuPbNl+U5LDe4YWT7SvpHttsv6PhSgvOzbfcbbjS6KsqlxFagEuA/frWfRf4k/b7rwMXAU/o2fbH7fcfB04DNgd2A34GHDTBcf6g3Z728WLgVuCBwIbAD4F/ADYCdgd+Djy+LfsY4NFtuYcCFwIvbbdtAhTweWArYNNxjr0XcDPwu8DGwLuBO4Hfb7cfQXOFaHFb34eBD/XsexPw2Hbf4/v2PQa4Hdif5g2GTddR3xLgWmC/tvz+wNXA1uO0+zfbut8OLAc269v+tvY42wI7AN8DXttuewpwR/ucLgL+Bvgl8BFgM2BvYC2w47qeg3HatS9wPfCE9hx2BnZvt50FvLN9rpYB1wGP63mu3t9zbnf21PlF4F+B+wMPBs4GDm63vRL4v3b9NjR9ckr79rX7UGAlsHJnqHLpdlFngJU1zu/eTJelg+4j83FRZ+z3I7SoM1Pt953/YrjM7sL4Aevt7Yv3jYErgL8HjqIZorYW2LLddhewa89+hwP/PcFxAlwM7Ns+/nvgU+33jwd+2lf+n4D3TFDXEcB/tN+PBazfm+Qc3wx8uOfxA2iG2Y2FpJ+NhYD28W/QhL+0+36oZ9uWffseA/xP3/Emq+8NwPv6yn8N+KsJ2v77wCeBa4DbaIYMbtpu+wXwxJ6yT6O54gVNwLoR2KB9vF37PP1OT/kfA09ZV5vHadNJwFvGWf+wtn9s2rPuncC/9zxX9wlYwC7ALcD9evZ7PvDF9vtv0xOYgD+d6r4TLf7DnYVFncEXmqOzqDP2+xFa1Jmp9nvvwZofvgYcCexD847/V4B/Ac4EflhVNyXZhebqxc979rsU2BGgHa63Q7v+CVX1vSQnA8+huVLyHJoQBc2L5CVJbuipa0PgjLauPdvjP4rmCtEi4Ft9bb5skvNZ3Lu9qm5McmNbd4CdgC8kqZ59NqC5WrK49xzbc79xomNPob5dgGcnOaBn2/3a49xHVX0T+GZb9+/SXDV8TZKjgQfRPOdjfv38t66uqrH7tW5rv17Zs/02YPMptPmavmbtRPMz7Le4PeZtPesuBZ403rn12IUmKF/dM8J0A5orlWP19v58e79f176SJEkjzYA1P3wD+B3gT2jC1jk0Vxye3D6GZrjZ3TTDwy5u1+1Mc1WFqnroOPWeDHwvyYk0L9I/366/jObKy29N0J73ASuAA6pqTZIjaIbY9ar77HWPK9rjAZDkATRXsaiqSvIL4BlVtap/xyRXAA/pebzl2L7jHXsK9V1GcxXnbyZp77iq6jtJTgce2R7nlzQB46K2yK+f/2nWO2mbx3EZzVDNfquB7ZJs2hOyptKmy4A1NMMkx/s53utnQM/Pcgr7SpIkjTRvLJ8HqupGmuFjLwO+1l4FWQm8iDZgVdXtwH8Bb06yWZKH0gwRPGWSei8GzgU+BHysqn7Vbhq7QvPKdtKKRUl+O8mj2u1bADe24eoRwIuneUofB56RZJ8kGwNv5N4z8f07cEySndp2bJ/kqT37/kWSRyfZCDiadc/iN1l9JwEHJHlSO7HEpu33D2rLHpPkv9vvn5DkBUm2ax8/gib0ntnW9R/AG5Jsk2R74LVM8vzPoM393g+8JMkfJNkgzQQlu9NcNfoB8MYkG7c/v4OBj0524Kr6WXtOb0szycoGSR6Wez6n7OPA3yZ5UJJtaIaXTnVfSZKkkeYVrPnjazT31Hy/5/H+tGGo9RKaCSMupbkP5t9Zx4tpmoDxvnZfAKrqjiT70wwD/H80E12c234P8LfAe5IcSRP0PkYz8cWUVNXZ7Yx5n6AZTvY27j3s7W00oekrbdC5kmYyiM+2+76aJkxuDLyD5t6m2yc55GT1XZzkL4C3Ao+gmYjiTGBs1sSduGf44/XAq2mCz/2Bq2ie33e124+kec5+3B7vP9tjr48J29xfsKq+kWaWxxNorqBdQTPpyAVJngm8h+YK5zXAq6tqvOGE/Z5N85z8hGYSjouBsVkn/41mEpVzgRva4z56ivuqY8sn3DDhFlasWNF9Q6Q5tHzCDRNusd9r5C2fcMOEW+z3sySO0tFkkjwZOKGqdht0W9ZHkq1pZsZbXFVXzEL9P6KZbKL/Pi+1kjwdOKaq9ljfOpYltbLDNi0kyyfa8PjHT7iP/3CnJ8mqqlrWdb32+/W3fKIN9vvO2O+Hz/KJNtjvOzPVfu8VLE2oHWJ3GHDioNsyHUn+DPgyzcQbxwJnzUa4AqiqR85GvaMsyRY0U+z/L80kHq+juaKoAVgx4YYJt0gjb8WEGybcIo28FRNumHCLZon3YGlcSfaiGfK2Bc2wwlFyAM2Qt8tpXuAfNNjmLDgb0EzxfiPNZ319n+Y+OkmSpHnPK1gaV1WdQ3N/zMipqucOug0LWTtc8lHrLChJkjQPeQVLkiRJkjriFSxJw2/pUljpbc9aYOz3Wojs95oHvIIlSZIkSR0xYEmSJElSRwxYkiRJktQRA5YkSZIkdcSAJUmSJEkdMWBJkiRJUkcMWJIkSZLUEQOWJEmSJHXEgCVJkiRJHTFgSZIkSVJHDFiSJEmS1BEDliRJkiR1xIAlSZIkSR0xYEmSJElSRwxYkiRJktQRA5YkSZIkdcSAJUmSJEkdMWBJkiRJUkcMWJIkSZLUEQOWJEmSJHXEgCVJkiRJHTFgSZIkSVJHDFiSJEmS1JFFg26AJK3LpWuu4yXfOHXC7avPPpczjjye/Y4+jMV77/nr9e/d98C5aJ40K6689laOPWnlOsu96uBlc9AaaY6sPRcu2Gvd5XY/Z/bbIq0nr2BJGmkThStpIbjwvFWDboIkqY8BS9LIMlxpIbvwvFWcfMIRg26GJKmPAUvSSDJcaSEbC1fPe/kxg26KNOdWnLVm0E2QJmXAkjRyDFdayHrD1W4PXzro5khzasVZazjg8EsG3QxpUgYsSSPFcKWFzHClhWwsXJ123JJBN0WalAFL0sgwXGkhM1xpIesNV8v32XzQzZEmZcDSlCQ5Kskpc3SsS5LsN8G2fZOcP8V6lie5vNvW3ecYE7Z1hvWuSPKiruud4rGXJKkkQ/UxDoYrLWSGKy1khiuNGgPWEJutF+9TOO6sB5P1VVXfqKo9Bt0OTU2SDyd540zruePW2wxXWrAMV1rIDFcaRQYsaR4btqtQ6+um1VcZrrQgGa60kBmuNKoMWCMqyZ8mOSfJDUm+neS3e7b9Q5JfJLk5yflJntSuf0ySlUluSnJlkmPHqXcz4IvA4iRr2mVxu3mjJCe39f44ybKe/Y5IclG77dwkT+/ZdkiSbyZ5R5Lrk/wsyR+v4xT3SvKDJDcm+ViSTdq67nV1LcmjkpzdHve0tuy9rpgk+bskVyW5IsnzJ3lOD0lycVvXz5Ic1LPtxUnO6zm/R62rrT37XZjkuiSf6XkuSfJ7Sb7X7ve9JL+3judkbL9Nk5zUPpfnJXlN33NySdsHfgDckmTROn4+G7Y/m2uSXAz8Sd/x7nUltX+4aPu8/7I9j68neUS7/lDgIOA1bT/6bLt+cZJPJrm6fZ4PW9c5b7l4e8OVFpzb195iuNKCZbjSSKsqlyFdgEuA/cZZ/yjgKmAfYEPg4LbsxsAewGXA4rbsEuCh7fffAZ7bfr858NgJjrscuLxv3VHAWmD/9phvAc7s2X4AsJgmtP8VcAvw4HbbIcAdwIvbfV8GrAYyyXl/t63vgcB5wEv72wZsBFwKHA7cD3gG8CvgjT1l7wSObrfvD9wKbD3OMTcDbgL2aB8/GHhEz7n9Ang0EGA3YJcptPWJwDXtz2tj4F+Br7fbHghcDzwXWAQ8u328Tbt9BfCiCZ6fY4CvAVsDDwF+0Pvzatt0DrATsOkUfj4vBX7Sln8g8FWggEXj9cO2L5zS8/gFwBbtOb4LOKdn24fHfh7t4w2AVcCR7c9vV+Bi4I/GOc9DgZXAyp2halQXzXvAypqF/wFLB9137feahP3efr8QTbXfewVrNL0YeG9VnVVVd1XVScDtwGOBu2he6O6Z5H5VdUlVXdTudwewW5Jtq2pNVZ05zeN+s6q+UFV3AR8BfmdsQ1WdVlWrq+ruqvoY8FPgMT37XlpV72v3PYkmwOwwybGOb+u7DvgssNc4ZR7L/2fvzsMsq+p7/78/zKOIgCbN1CoaBZOL0or3FxM6XjTihDdRQzQOqAlqEjWaGByihOtAEjVKvAY1iYoGBIcQp1yHmMIRTKNIAjgANjaDIJPM8/f3x96lp4+nuqqrdtU5u+r9ep79cM7ea3/3Wues7t5f1trrNMnJ8VV1R1V9nCbZGXQHcGx7/DPAjTRJ6Ch3Aw9Jsn1VXV5V57b7XwD8dVX9Z/vn64KqungOdX0m8E9V9c2qug14FfA/k6ymGSX6flV9sKrurKqTaZKcJ23iM5n2dOBNVXVtVV0CHD+izPFVtaGqboFZv5+nA29vy19DkzzPWVX9U1Xd0LbxGOB/JNllhuIPB/aoqmOr6vaqugh4L3DEiLjvqao1VbVmj82pkCRJ0hiZYPXTvsAr2umB1yW5jmb0YVVVXQC8jOZG98okHx6YlvZ84IHAd9opaU/czOv+aOD1zcB208/4JHn2wJTF64CHALuPOreqbm5fbmrMf/hao8quAi5t/4/CtA1DZa6uqjtni1VVN9GM7LwQuDzJp5M8qD28N3Dh8DlzqOsqmhG26WvcCFwN7Dl8rHVxe2w2q9i4ncNt/rl9s3w/w/GG6zWjdnrhce30w+tpRrtg4+9+0L40008H++6r2XSyLUmS1BsmWP20AXhjVd1zYNuhHQWhqk6qqkfR3MwW8Fft/u9X1e8C9273fbR95mpYjdg3oyT70oxC/BHNFLd7Av9NM51uMV0O7Jlk8Dp7zzdYVX22qh5DM7r2HZo2QfN5338eIS+j+Q6Anz7fthvNdMONjrX2aY/N5nKaqYHTRrX5p9/hHL6fy4di7DMU6yZgh4H3vzDw+hnA4cChwC40U1IZiD3clzYAPxjquztX1eNHtEGSJKl3TLAm39ZJthvYtqK5WX5hkoPT2DHJE5LsnOSXkjw6ybY0z0zdQjNtkCS/l2SPqrobuK6Nf9eIa14B7LaJaV7DdqS5kf5xe50jaUZIFtvXaer/R+1CDoez8bTEOUtynyRPbpOg22imEk5/Nv8A/GmSg9rPe782aZnNScCRSQ5sv483AWdW1XrgM8ADkzyjrfvvAPsDn5pD3FOBVyXZNcmeNInTpsz2/ZwKvCTJXkl2BY4eOv9s4IgkW6dZ2OSpA8d2pvm8rqZJwt40dO4VNM9ZTfsGcH27CMf27QjYQ5I8fJY2SJIk9cKyWMJ5mfvM0Ps3VtVrk/w+8E7gATRJ1FeAL9E8f3Uc8GCa54++RrNYAMDjgLcl2YFmGtgRVXXr8AWr6jtJTgYuSrIlzY3/jKrqvCRvpUl47gZOBL46n8Zujqq6Pclv0SRAb6ZZ/fBTNDf8m2sL4BU0z5YVTVLx4vY6H0myG8n1ANIAACAASURBVE3CtCfNNLhnMctUuqr69yR/AXyMZkGKr9E+a1RVV7dTNN8B/D1wAfDEqrpqDnU9FjgB+AHN6NM/AzOujjiH7+e9NFNHv02z0MdbaBbomPYXwMk0i3CcTvM53Ks9diLwmzQjb9e0ZV80cO4/Ah9ppwJOVdVTkjwJeGtb/22B7wKvnUO7J97akTs33js1NbX4FZGW0NqROzfea7/XcrN25M6N99rvV65s/PjKIl4oeT/wnKpa7GljnUiylmY1tSOr6v3jrY3mKsmZwAlV9b5x12WpJHkRTbJ8yLjrsljWJLVu3JWYg7Wjdh6y8dfiP7jLT5KzqmrN7CU3j/1ek8x+P4L9ftmba7+f0wjWQLIxk7uqqnejYUkOBJ4CvL+dtqWeSXIIzQjIVTSr9v0K8P/GWqlFluQXaabdfZ1mBPMVNKOZGrOpkTtH7pWWjamRO0fulZaNqZE7R+7VCrS5SdHJ/PyUNWimHfXRgcDraf6crB869iVge5ppdppcv0TzDNFONCv9PbWqLh9vlRbdNsC7gfvSPEv3YeBdY62RJEmSgM1PsL5ZVR9alJpMmHYhiJ97PkmTpareA7xn3PVYSu1vcC3FIiKSJEnaTJ2vItiudPc3SS5LckuSbyR57Axl1yeZGrF/bZJK8tyh/dskeWX7ez43J/lJknVJ/migzKokb23LXJvk1iTntauWbTlQ7hhg+jmd/2ivV+2zYpuqw45J3tz+7s9tSX6U5MThVeUGz09yZJJz2/IXJ3nlZnykkiRJknpic0ewdkgy6gdEb6+q69vXJ9M81/RJ4LM0vx/0cZoVw+YtyTZtvLXA54AP0Yww/TLwW/zsGZRfad//C82Usa2Bw2hW1rsfcFRb7uM0v3f0BzRLS5/f7p/xB2XbJdI/C/wq8FGaldAeQLNq2mOTrKmqS4ZOeyHNj6j+I810rt8D/irJJVV10mZ+DJIkSZIm2OYmWH/ZbsM+DTyxHal6CvCBqnru9MEkX6JJeBbiZTTJ1Zur6tWDB5IMjsSdDtyvNl4e8e1JPgi8IMkxVXV5VZ2T5Os0Cdbnq2pqDnU4kia5+puq+ukoVJIv0CwP/maa5bsH7QPsX1XXtWX/iWZ57z+mWe5a0mwOOgjW9WFdKalD9nutRPZ7LQObm2C9B/jIiP0/bv/7lPa/fzN4sKpOS/JdmgUJ5uuZNL/Dc+zwgfZ5qenXt0y/bke9dqKZCvlZmtGjNTSja/Pxv2kW9Hjz0PU/neRs4PAkWwzWB3jfdHLVlr05yRnA/5xnHSRJkiRNqM1NsL5fVV/YxPH70SQg3xtx7HwWlmA9ADh71A/jDmqn8R0NPBvYDxj+3a1dF1CH+wKXVdW1I46dS7Mq4e7AlQP7LxpR9mpgtwXUQ5IkSdIE6vq3qzb1I8Kjjs30K8cz1Wsuv4r8Nprpd6cAb6RJdu4AHgb8FQtb2GM+P5J81wKuJ0mSJKlHuk6wLgQeCzyQZkRn0INGlL8GuNeI/fcbse97wIOTbFtVt22iDs8CvlRVRwzuTLLfiLJzSdgGXQg8Lsk9B6f9tfYHrqf5wVtJkiRJK1DXy7T/a/vfPxvcmeQpjJ4e+D3gQUn2HCi7LfCHI8r+M830vtcOH0gyOLJ0F0MjTUl2BP5kRMwb2/+OSvJGOY3mMzt6KP5hwEOBTww9fyVJkiRpBdncEayHJfm9GY6dVlWfTfJJ4DlJ7gX8P5pl2o8C/puf/3HUdwJHAF9IcgKwDc0I1M0j4r8DeBLw2iQPp1mq/VbgAJrk7dC23EeBo5KcAnyBZon059E89zTsP2meGXtNkl2Bm4AfVNWZM7Tx/cBzgD9Pshr4Es1zXi8GrgBePcN5kiRJklaAzU2wfrfdRnkAcAHwO8AbaFb9ewxNYvXb7XkbJVhV9dX2h3xfTbPy4KXA3wPrgH8fKnt7uwz8K4Bn0Px21a3A9/nZDwYDvBy4AXg6cDiwgWb1w/+kSbgGY/4wyfOAP2+vuzXwAWBkglVVdyT5TZpRtN+h+b2t62hWVnxtVW2Y4bORJEmStAJk45+LkqTJs2bNmlrn76JoQiU5q6rWdB3Xfq9JZr/XSjTXft/1M1iSJEmStGKZYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHVkq3FXQJJmc/GN13DUl0+atdxl3zqPL7zueA499iWseuj+nddjOcX/5Eve0Hl8deuKq2/mbR9YN+fyF5x/Fie+62ie/eLj2O/BB3Ven77Hf/lz1nQeU4vg1vPgewdu9mlTZ97I0166no+8YzVrD96p82r1Jv4Dz+6uUpo3R7AkLQvLKfnpY3yNV9+Tn6WIr+WrN8nPmOJr6ZlgSeq9vicnfY+v8VoOyc9SxNfy1Pfkx+RqeTLBktRrfU9O+h5f47Vckp+liK/lp+/Jj8nV8mWCJam3+p6c9D2+xms5JT99jK/x6nvyY3K1vJlgSeqlvicnfY+v8ep7ctL3+Bqvvic/JlfLnwmWpN7pe3LS9/gar74nJ32Pr/Hqe/JjcrUymGBJ6pW+Jyd9j6/x6nty0vf4Gq++Jz9LEV+TwQRLvZPk3CRr51h2fZJDF7EuxyT50CLEfW6Sr3QddzOuP5XkBeO6/kz6npz0Pb7Gq+/JSd/ja7yWQ/KzFPE1GUywNFFGJUTDyUZVHVBVU0teOW22JGuTXNJFrL4nJ32Pr/Hqe3LS9/gar+WS/CxFfE0GEyxpmUuy1bjrsFB33HxLr5OTvsfXePU9Oel7fI3Xckp++hhf82OCpd4ZHOVKsn2SDyS5Nsn5SV45YsTkwCTnJPlJklOSbDdD3P2SnN6WuyrJKQPHDkjy+STXJLkiyasHTt0myYlJbminL64ZOO/B7XS769pjTx44tkt73o+TXJzktUnm9GcyybPbc65O8hdDn8kxST6a5ENJrgeem+QRSb7e1uPyJO9Mss1AvMck+U7b9ncCGTi20TTIJKuT1HTiluTI9rO/IclFSY5q9+8I/BuwKsmN7bYqyRZJjk5yYVv/U5Pca1Ptvf6yK3ubnPQ9vsar78lJ3+NrvPqenPQ9vhagqtzcJmYD1gOHDu17LvCVUWWA44DTgV2BvYBzgEuGyn4DWAXcCzgfeOEM1z4ZeA3N/3jYDnhUu39n4HLgFe3+nYGD22PHALcCjwe2BN4MnNEe2xq4AHg1sA3waOAG4Jfa4ycC/9rGWw18D3j+qDYP1XN/4EbgUW3ctwB3DHwmx7Tvn9K2ZXvgIOCRwFbttc4HXtaW3x24HnhqW+c/Ae4EXjAQ70MD118NFLBV+/4JwP1pkrJDgJuBh7XH1g5+H+2+lwFntN/XtsC7gZNHtPMPgHXAun2gyq3bTZ0B1tUMf6ctZDto3H1kOW7qjP2+R5s6M9d+7wiWJtFp7UjLdUmuA961ibJPB95UVddW1SXA8SPKHF9Vl1XVNcAngQNniHUHsC+wqqpurarp576eCPyoqt7a7r+hqs4cOO8rVfWZqroL+CDwP9r9jwR2Ao6rqtur6ovAp4DfTbIl8DvAq9p464G3As/a5CfTeCrwyar6SlXdDrwOqKEyX6+q06rq7qq6parOqqozqurO9lrvpkmGoEkOz6uqj1bVHcDbgR/NoR4AVNWnq+rC9u+e04HPAb+2iVOOAl5TVZdU1W00CdxTh6cyVtV7qmpNVa3ZY66VkSRJGjMTLE2ip1TVPac34MWbKLsK2DDwfsOIMoPJws00Sc8or6QZhflGO53vee3+vYELN1GH4fjbtcnCKmBDVd09cPxiYE+aUaNt2vfDx2azUZur6mbg6qEyG30OSR6Y5FNJftROG3xTW4dR8Wr4/E1JcliSM9rpk9fRJGy7b+KUfYF/GUigzwfuAu4z12tKkiRNKhMs9d3lNFPNpu0930BV9aOq+v2qWkUzyvKuJPvRJBv3n0fIy4C9h56r2ge4FLiKn42YDR+bzUZtTrI9sNtQmeERrb8HvgM8oKruQTNtcfo5q8sZ+NyShI0/x5uAHQbe/8JA2W2Bj9FMU7xPmxB/ZiD2cD2g+TwPG0yiq2q7qppL2yVJkiaaCZb67lTgVUl2TbIn8EfzDZTkaUmmE5draZKDu2im9f1Ckpcl2TbJzkkOnkPIM2mSk1cm2TrNb3c9CfhwO53wVOCNbbx9gZcDc/lNrY8CT0ry/7ULVfwlA4tSzGBnmuesbkzyIOBFA8c+DRyQ5LfakbeXMJBEAWcDv55knyS7AK8aOLYNzXNUPwbuTHIY8NiB41cAu7XnTTuhbfe+AEn2SHL4HNotSZI08Xq/fLNWvGNpbth/QDMS88/AkfOM9XDg7W0ycAXw0qr6ATSr7AHvAF4P3EbznNKZMwUCqKrb21UD30WTlFwKPLuqvtMW+WPg74CLaBbKeC/wT7NVsqrOTfLHwIeBHdu6XNnWayZ/CryHZhrkt4BTaBbdoKquSvI0mufX3kfzHNlXB673+XZFxXNoRt7+Cnhye+yGJC+hSRa3pXnG7RMD534nycnARe1zZ/vTfI4BPpdkVVv3U2gW/NA8rJ3XSZt31tTU1HyuIi2atfM6afPOst9r0qyd10mbd5b9fuHSPG4hLQ9JXgQcUVWHzFp4mUiyE3AdzfS/H4y7PothTVLrxl2JCbZ2Picdsnl/RPwHd2ZJzqqqNbOX3Dz2+01bO5+T7Pedsd+Px9r5nGS/78xc+70jWOq1JL8I3A/4OvAAmqXU3znWSi2BJE8C/p1mJOgtwH/RLEmvFWhqXifN6yxpYkzN66R5nSVNjKl5nTSvs7QAPoOlvtuGZsnxG4Av0kwz29Sy7svF4TSLaFxGk1geUQ5HS5IkjZ0jWOq1qroYeMi467HUquoFwAvGXQ9JkiRtzBEsSZIkSeqII1iSJt9BB8E6H3vWCmO/10pkv9cy4AiWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1JGtxl0BSZrNxTdew1FfPmlOZS/71nl84XXHc+ixL2HVQ/fvvC7G70/8d//aMzq//lK64uqbedsH1m3WORecfxYnvutonv3i49jvwQd1XifjT1b8lz9nTefXGLtbz4PvHTivU6fOvJGnvXQ9H3nHatYevFPHFTP+xMZ/4NmdX2uhHMGStGxM0s298fsXv++WW/Jg/KWN33fLNnkw/pLE75oJlqRloe8398Yfb/y+6/vNvfHHG7/v+n5zb/zxxl8MJliSeq/vN/fGH2/8vuv7zb3xxxu/7/p+c2/88cZfLCZYknqt7zf3xh9v/L7r+8298ccbv+/6fnNv/PHGX0wmWJJ6q+8398Yfb/y+6/vNvfHHG7/v+n5zb/zxxl9sJliSeqnvN/fGH2/8vuv7zb3xxxu/7/p+c2/88cZfCiZYWhJJ3p/kDUt9bleSrE1yyTjroJ/p+8298ccbv+/6fnNv/PHG77u+39wbf7zxl4oJljaSZH2SW5LcmOTaJJ9Osve467UQSWrcdVB3+n5zb/zxxu+7vt/cG3+88fuu7zf3xh9v/KVkgqVRnlRVOwG/CFwB/N2Y6zMvSSb+h7THWcelvnYX1+v7zb3xxxu/7/p+c2/88cbvu77f3Bt/vPGXmgmWZlRVtwIfBX56p5PkCUm+leT6JBuSHDN4TpJHJflakuva488dOLxrOyJ2Q5Izk9x/4LwHJfl8kmuSfDfJ02eqV5LfT3JBW/YTSVYNHKskf5jk+8D3R5z73CQXtXX4QZJnznCN7dupidcmOQ94+NDxVUk+luTHbZyXDJ37gfbc85O8cnB6YTtK+OdJzgFuSrLVLPG2SHJ0kguTXJ3k1CT3WqTPZ3Vb5sj2+7s2yQuTPDzJOe33+s6hur02ycVJrkxyYpJdhmI9P8kPgS+2+x850Ee+nWTtTG0Z1Pebe+OPN37f9f3m3vjjjd93fb+5N/54449FVbm5/XQD1gOHtq93AD4AnDhwfC3wyzTJ+a/QjHA9pT22D3AD8LvA1sBuwIHtsfcD1wCPALYC/hn4cHtsR2ADcGR77GHAVcABA+e+oX396PbYw4BtaUbXvjRQvwI+D9wL2H6obTsC1wO/1L7/xelrjPgcjgO+3MbZG/hv4JL22BbAWcDrgG2A+wEXAb85cO7pwK7AXsA50+cOfMZnt3G3n0O8lwFntLG2Bd4NnDxDvef9+bTHV7dlTgC2Ax4L3AqcBtwb2BO4EjikLf884IK2zjsBHwc+OBTrxPaz3749/2rg8W27H9O+32NEXf4AWAes2weq+rRpRQHW1SL8fXzQuPux/V6bYL+3369Ec+33jmBplNOSXEeTjDwG+JvpA1U1VVX/VVV3V9U5wMnAIe3hZwJfqKqTq+qOqrq6qs4eiPvxqvpGVd1Jk2Ad2O5/IrC+qt5XVXdW1TeBjwFPHVG3ZwL/VFXfrKrbgFcB/zPJ6oEyb66qa6rqlhHn3w08JMn2VXV5VZ07w2fwdOCNbZwNwPEDxx5OkxAcW1W3V9VFwHuBIwbOfVNVXVtVlwydO+34qtrQ1nG2eEcBr6mqS9o2HwM8dYYpdwv9fKb9n6q6tao+B9xEk9BdWVWX0iSeDx243tuq6qKqurG93hFDdTumqm5qr/d7wGeq6jNtH/o8TRL1+OEKVNV7qmpNVa3ZYxMVlSRJmiQmWBrlKVV1T5oRkD8CTk/yCwBJDk7yH+1Utp8ALwR2b8/bG7hwE3F/NPD6ZpoRD4B9gYPbKWPXtcndM4FfGBFjFXDx9Jv2pv5qmpGRaRtGXbyqbgJ+p63z5e10xQfNUNdVQ3EuHni9L7BqqL6vBu4zw7mj6jO4b7Z4+wL/MnDsfOCugePD9Z7X5zPkioHXt4x4P/3dbXS99vVWQ3UbbuvThtr6KJrRREmSpN4zwdKMququqvo4zc38o9rdJwGfAPauql1oppKlPbYBuP/PBZrdBuD0qrrnwLZTVb1oRNnLaG7SAUiyI81UxEsHq76JNn22qh5Dc0P/HZqRolEup0kYp+0zVN8fDNV356p6/MC5ew2UH7UK42AdZ4u3AThs6Ph27WjSsAV9PvOw0fVoPqc72TghG27rB4fasmNVHddhnSRJksbGBEszSuNwmmeJzm937wxcU1W3JnkE8IyBU/4ZODTJ09uFG3ZLciCz+xTwwCTPSrJ1uz08yYNHlD0JODLJgUm2Bd4EnFlV6+fQnvskeXKbdNwG3EiTPI5yKvCqJLsm2Qv444Fj3wCubxeq2D7JlkkekuThI87dk2YUcFNmi3cC8MYk+7bt2KP9XkaZ9+czTycDf5Lkvkl2aq93SjsNdJQPAU9K8pttO7dL8xtje81QXpIkqVcmfhlrjcUnk9xFM/JwMfCcgWeVXgy8tV1J7nSaZOKeAFX1wySPB94C/APwE+C1NAs6zKiqbkjyWOBt7bYF8G3g5SPK/nuSv6B5RmtX4Gv87Fml2WwBvAL4YNu2s9v2jPKXNInND2hGad4HvLStw11JngS8tT2+LfDdtq0Axw6cezlN4nnkTJWaQ7x30IwSfq5dEfBK4BTgX0fEWsjnMx//RDNN8Es0i2J8lo2T0eH6bWiTw7+mSc7uokkwR41WTqy1sxbYdImpqaluKiItobWzFth0Cfu9+mjtrAU2XcJ+vzKlWRBD0mJJ8iLgiKo6ZNbCGmlNUuvGXYkBa2crcMimv2r/wV1ekpxVVWu6jmu/1ySz37fs9yvKXPu9I1hSx5L8Is2y5V8HHkAzavbOTZ6kXpmatcCsJaTemZq1wKwlpN6ZmrXArCW0AplgSd3bhua3qu4LXAd8GHjXWGskSZKkJWGCJXWsqi4GHjLuekiSJGnpuYqgJEmSJHXEBEuSJEmSOmKCJWnyHXQQVPVnk7pgv9dKZL/XMmCCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHUk5Rr+kiZckhuA7467Hh3aHbhq3JXo0Epvz75VtUfXlbDfT7yV3h77/dys9H4y6Ral3281//pI0pL5blWtGXclupJkne2ZXBPUHvv9BLM9i8Z+P8Fsz9w4RVCSJEmSOmKCJUmSJEkdMcGS1AfvGXcFOmZ7JtuktGdS6tEV2zPZJqU9k1KPrtieybYo7XGRC0mSJEnqiCNYkiRJktQREyxJkiRJ6ogJlqSJkeRxSb6b5IIkR484vm2SU9rjZyZZvfS1nLs5tOflSc5Lck6Sf0+y7zjqOVeztWeg3FOTVJKJXsp3Lu1J8vT2Ozo3yUnjqIf9frzs9/b7ubDf2+83UlVubm5uY9+ALYELgfsB2wDfBvYfKvNi4IT29RHAKeOu9wLb8xvADu3rF/W9PW25nYEvAWcAa8Zd7wV+Pw8AvgXs2r6/95jqYb+f4Pa05ez33dfDfj/B7WnL2e9n2BzBkjQpHgFcUFUXVdXtwIeBw4fKHA58oH39UeB/JckS1nFzzNqeqvqPqrq5fXsGsNcS13FzzOX7Afg/wF8Dty5l5eZhLu35feD/VtW1AFV15ZjqYb8fH/u9/X4u7PeTbcn7vQmWpEmxJ7Bh4P0l7b6RZarqTuAnwG5LUrvNN5f2DHo+8G+LWqOFmbU9SR4K7F1Vn1rKis3TXL6fBwIPTPLVJGckedyY6mG/Hx/7vf1+Luz3k23J+/1WCzlZkjo06v9MDv+OxFzKTIo51zXJ7wFrgEMWtUYLs8n2JNkC+FvguUtVoQWay/ezFc20kbU0/7f5y0keUlXXLXE97PfjY7+338+F/X6yLXm/dwRL0qS4BNh74P1ewGUzlUmyFbALcM2S1G7zzaU9JDkUeA3w5Kq6bYnqNh+ztWdn4CHAVJL1wCOBT0zwg89z7W//WlV3VNUPgO/S/AM8jnrY78fDfm+/nwv7vf1+Y+N+8MzNzc2tqqD5v0cXAfflZw+hHjBU5g/Z+KHnU8dd7wW256E0D94+YNz17aI9Q+WnmOyHnufy/TwO+ED7eneaKSa7jaEe9vsJbs9Qeft9d/Ww309we4bK2++HNkewJE2EaubY/xHwWeB8mn9Mz01ybJInt8X+EdgtyQXAy4EZl44dtzm252+AnYCPJDk7ySfGVN1ZzbE9vTHH9nwWuDrJecB/AH9WVVePoR72+zGx39vv58J+P9nG0e/TZmqSJEmSpAVyBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1JGtxl0BSZrN7rvvXqtXrx53NaSRzjrrrKuqao+u49rvNcns91qJ5trvTbAkTbzVq1ezbt26cVdDGinJxYsR136vSWa/10o0137vFEFJkiRJ6ogJliRJkiR1xARLkiRJkjpigiVJkiRJHTHBkiRJkqSOmGBJkiRJUkdMsCRJkiSpI/4OlqSJd/GN13DUl0+ac/nLvnUeX3jd8Rx67EtY9dD9O6+P8Zdv/Hf/2jM6jbcQV1x9M2/7wOb/HtAF55/Fie86mme/+Dj2e/BBndfL+N3Ef/lz1nR+7WXh1vPgewfO+/SpM2/kaS9dz0fesZq1B+/UYcWMP0nxf3zNnZ3H7pIjWJKWlT7f3Bt//PH7blKSB+MvTnxt2nJJHow/e/xJZ4Iladno+8298ccfv8/6njwYXwuxnJIH4y99/K6ZYElaFpbDzb3xxx+/r/qePBhfC9H3m3vjjzf+YjDBktR7y+Xm3vjjj99HfU8ejK+F6PvNvfHHG3+xmGBJ6rXldHNv/OUXf7H1PXkwvhai7zf3xh9v/MVkgiWpt/p+82385R1/sfU9eTC+FqLvN/fGH2/8xWaCJamX+n7zbfzlHX+x9T15ML4Wou8398Yfb/ylYIIlqXf6fvNt/OUdf7H1PXkwvhai7zf3xh9v/KVigiWpV/p+82385R1/sfU9eTC+FqLvN/fGH2/8pWSCJak3+n7zbfzlHX+x9T15ML4Wou8398Yfb/ylZoIlqRf6fvNt/OUdf7H1PXkwvhai7zf3xh9v/HEwwZK0YEluTHK/eZ5bSfbbVJk7br6l1zffxl/e8Rdb35MH42sh+n5zb/zxxh8XEyxpMyVZn+SKJDsO7HtBkqkxVmusqmqnqrposeJff9mVvb35Nv7yjr/Y+p48GF8L0febe+OPN/44mWBJ87MV8NJxViDJVuO+3lLV4R6r7t3Lm2/jL+/4i+22W2/qdfJgfC1E32/ujT/e+ONmgiXNz98Af5rknqMOJnlQks8nuSbJd5M8vd3/yCQ/SrLlQNn/neSc9vUWSY5OcmGSq5OcmuRe7bHV7XS65yf5IfDFEdddm+SSJK9McmWSy5M8Jcnjk3yvrc+rB8o/IsnXk1zXln1nkm0GjleSP0zyfeD7s+zbr329bZK3JPlhO9J3QpLtB2L+WXuty5I8by4f9tY7bD97oc3U95t74483/lK4+spLe5s8GH/2+JpZ32/ujT/e+BOhqtzc3DZjA9YDhwIfB97Q7nsBMNW+3hHYABxJM9L1MOAq4ID2+IXAYwbifQQ4un39MuAMYC9gW+DdwMntsdVAASe219h+RN3WAncCrwO2Bn4f+DFwErAzcABwK3C/tvxBwCPbeq4GzgdeNhCvgM8D95q+3ib27de+fjvwifb4zsAngTe3xx4H5MbJ4AAAIABJREFUXAE8pG3DSYPnDrXlD4B1wLp9oMpt5W09Aayr6v7vmoPG/fm7jWfrCfu9m/1+5s0RLGn+Xgf8cZI9hvY/EVhfVe+rqjur6pvAx4CntsdPBn4XIMnOwOPbfQBHAa+pqkuq6jbgGOCpQ1Pxjqmqm6rqlhnqdQfwxqq6A/gwsDvwjqq6oarOBc4FfgWgqs6qqjPaeq6nSegOGYr35qq6Zuh6o/aRJDRJ3Z+0x28A3gQc0RZ5OvC+qvrvqrqpbd9IVfWeqlpTVWuGP2BJkqRJtaTPcEjLSVX9d5JPAUfTjPxM2xc4OMl1A/u2Aj7Yvj4J+FqSFwG/BXyzqi4eOPdfktw9cO5dwH0G3m+YpWpXV9Vd7evpBOiKgeO3ADsBJHkg8DZgDbBDW8/huSujrjdTHfZo45zV5FoABJieErlqKP7FSJIkLSOOYEkL83qaEZs9B/ZtAE6vqnsObDtV1YsAquo8msTiMOAZNAnX4LmHDZ27XVVdOlCmOqz/3wPfAR5QVfcAXk2TEA0adb2Z6nAVTQJ3wED9d6mq6UnWlwN7D5TfZ/5VlyRJmjwmWNICVNUFwCnASwZ2fwp4YJJnJdm63R6e5MEDZU5qz/l1mmewpp0AvDHJvgBJ9khy+CI2YWfgeuDGJA8CXrSQYFV1N/Be4G+T3BsgyZ5JfrMtcirw3CT7J9mBJkGVJElaNkywpIU7lmbBBgDa544eS/Pc0WXAj4C/olm0YtrJNAtSfLGqrhrY/w6aBSI+l+QGmgUvDl7Euv8pzSjaDTSJ0SkdxPxz4ALgjCTXA18Afgmgqv6NZhGML7Zlfm4lREmSpD5LsyCGJE2uNUmtG3cltPR68u9TkrOqak3Xce33K5T93n6/Ei2zfu8iF5KkRbd2Xidt/llTU1PzuZK0KNbO66TNP8t+r0mydl4nbf5Zk9zvnSIoSZIkSR1xBEuStOim5nXSvM6SJsbUvE6a11nSxJia10nzOmtiOYIlSZIkSR0xwZIkSZKkjphgSZIkSVJHTLAkSZIkqSMmWJIkSZLUERMsSZIkSeqIy7RLmnwHHQTr1o27FtLSst9rJbLfaxlwBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAnWDJKsTlJJjlmk+OuTTC1GbEmSJEnjsdW4KzBKkrXAf7Rv/29V/dGIMvcGLgG2Bk6vqrVLUK97Ai8DpqpqarGvJ6lx8Y3XcNSXT+ok1mXfOo8vvO54Dj32Jax66P6dxFwJ8d/9a8/o/FratCuuvpm3fWBdpzEvOP8sTnzX0Tz7xcex34MP6jS28Rc3/sufs6bz+kyib599FlMf3I+1B+/UeeypM2/kaS9dz0fesdr4SxH/gWcvPEZPTWSCNeBW4BlJXlFVtw0dexYQ4M5FuvbFwPZD8e8JvL59PbVI15W0SJZr8tOX+BqvSU4ejK9p99t7234kD8bXJkz6FMF/AXYFDh9x7EjgM8Bw4rUgSXYGqMatVbVYCZykJdT35KTv8TVefU8ejL9y7Lxj97emfU9O+h5/JZr0BOubwLdpkqmfSvII4ADgfcMnJHlsklOSXJTkliTXJflckkNGlJ1qn4W6X5KPJrkGuL49ttEzWO20xR+0p76+PVZJ1g/Ee3F7rUuT3J7k8iQfSrJ64R+FpPnqe3LS9/gar74nD8bXQvQ9Oel7/JVq0qcIQpNEvS3JXlV1SbvvecCVwKdGlH8ucC/gRJpntPYEXgD8e5LfqKovD5XfCTgd+CrwGuDeM9TjfOBPgL+lGVn7eLv/xoEyfwqcARwPXAM8pL32o5P8clVdPZcGS+pO35OTvsfXePU9eTC+FqLvyUnf469kfUiwPgT8NfBs4E1JtgeOAP6hqu5MMlz+96vqpsEdSU4AzgVeBQwnWLsBb6yq126qElV1RZLTaBKsc6rqQyOK/fKIa38C+ALw/LYdkpZI35OTvsfXePU9eTC+FqLvyclyiL/2gZ2H7Y1JnyJIO+rzCZqRKYDfAnYB/mmG8j9NcJLslGQ34C7gTODgGS7zlo7qelN73S2S7JJkd5opjj/ZxLUlLYK+Jyd9j6/x6nvyYHwtxHJITpZD/JVs4hOs1vuAByR5FM30wG9U1XmjCia5f5IPJ7kWuAG4Cvgx8HiaBTOG/biqruuikkke3f621U3Ade11f0yTEI66tqRF0PfkpO/xNV59Tx6Mr4VYLsnJcoi/kvVhiiDAZ4FLaZZI/w3gRaMKJdkJ+BKwI/B24L9okqy7aaYHPnrEaTd3UcEkDwc+B1wAHE2zIMYtQAEfpj/JrNRrfU9O+h5f49X35MH4WojllJwYv996kWBV1V1JTqRJkm6hSVhG+V/AKuB5VbXRCoNJ3tBFVTZx7BnAlsBhVTW92iBJdsTRK2lJ9D056Xt8jVffkwfjayH6njwYf3npRYLVOgG4Hbioqn4yQ5m72v9utPJFksfSzTNQ0ysG3muu1wZejaNX0qLre3LS9/gar74nD8afPT6s6TzuctH35MH4y09vEqyq+iFwzCzFvgL8CHhr+9tTlwAHAs+imS74ywusw9VJLgCOSHIhcAVwU1V9kmbp9j8BPpPkPTTJ4GOAX6F5DkzSIul7ctL3+Bqv5ZA8GH/2+O867qjOYy8HfU8ejL88LauRlXaxit+kWTHwj4G3AvvTLHDxzY4u80zg+8CbgJOBv2uv/VXgt2kWuPg/NMngLcAh7T5p2UmyT5Ibk2w5j3Onf8x7Qf+jp+/JSd/ja7yWS/Jg/Nnj6+f1PXkw/vI1kSNYVTXFz0+1m6nsTkPvzwEeN6Lol/nZUu/TZdduIu76UXWoqm8AvzrDOacBp404tHpE2Z/bJ3UlyXqa5xFXVdVVA/vPBv4HcN+2jy9IO7I8tr9V+56c9D2+xms5JQ/GX/r4fdf35MH4y9uyGsGStJEfAL87/SbJLwPbzyfQqFGmhY48LVTfk5O+x9d49f3m3vjjjd93fU8ejL/8mWBJy9cHgWcPvH8OcOL0myRPSPKtJNcn2ZDkmIFj09P3np/kh8AXZ9m3VXveLkn+McnlSS5N8obp6YNJtkzyliRXJbkIeMJ8G9b35KTv8TVefb+5N/544/dd35MH468MqdrUyuOS+qidIvgC4P8CTwG+B6wHHtX+9740U1evBs4FHgJ8Hjiqqk5rF4n5AU2S9iKa35K7zyb2bV1VdyY5jWbxl5fT/B7dp4B/rKp3J3kh8DKaxV9uAj4GrJ0+d0Qb/gD4A4B94KCLO/lktCD+ezFSkrOqqvMl3tYkta7roNp89vuR7PfLnP1+pLn2e0ewpOVtehTrMcB3aH6wG2iedayq/6qqu9tnF0+mWZRl0DFVdVNV3TLLPpLcBzgMeFl7/Ergb4Ej2iJPB95eVRuq6hrgzZuqeFW9p6rWVNWaPTa72ZIkSeMxkYtcSOrMB4Ev0YxYnTh4IMnBwHE0o1fbANsCHxk6f8OImKP2AewLbA1cnvx0fZgtBsqvGjrXQSlJkrTsOIIlLWNVdTHNFL7HAx8fOnwS8Alg76rahebHvIdXzhw1R2CmeQMbgNuA3avqnu12j6o6oD1+ObD3QPl95t4SSZKkfjDBkpa/5wOPrqrh32PbGbimqm5N8gjgGQu5SFVdDnyO5oe+75FkiyT3TzI97fBU4CVJ9kqyK3D0Qq4nSZI0iUywpGWuqi6sGvnM8IuBY5PcALyOJgFaqGfTTDc8D7gW+Cjwi+2x9wKfBb5N88PfwyNqkiRJvecqgpImnqtKTQj/vRjJ1dSWOfv9SPb7Zc5+P9Jc+72LXEiSgGbN/E0XmLUEU1NTC6+ItITWzlpg1hL2e/XK2jkVmr2U/X5mThGUJEmSpI44giVJAmBq1gKzlpB6Z2rWArOWkHplak6F5lRKM3AES5IkSZI6YoIlSZIkSR0xwZIkSZKkjphgSZIkSVJHTLAkSZIkqSMmWJIkSZLUEZdplzT5DjoI1q0bdy2kpWW/10pkv9cy4AiWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqyFbjroAkzebiG6/hqC+fxGXfOo8vvO54Dj32Jax66P4/Pf7uX3vGGGsnLY4rrr6Zt31g3U/fX3D+WZz4rqN59ouPY78HH8TLn7NmjLWTFsmt58H3Dvy53VNn3sjaZ10whgpJm88RLEm9MFNyJa0Ew8mVtJJMnXkjT3vp+nFXQ5ozEyxJE++Om28xudKKZXKllWw6ufrIO1aPuyrSnJlgSZp41192pcmVViSTK61kg8nV2oN3Gnd1pDkzwZI08e6x6t4mV1pxbrv1JpMrrVgmV+ozEyxJE2/rHbYfdxWkJXf1lZeaXGlFMrlS35lgSZI0gXa7954mV1pxbrjpbpMr9Z7LtEuSNIG23W7HcVdBWnIXbbiNz7/v/iZX6jVHsCRJkjQR7rf3tiZX6j0TLEmSJE2EnXf01lT9Zy+WJEmSpI6YYEmSJElSR0ywVqAkJyT5i3HXY1OSTCV5wbjrMU5J1ic5dIExzk2ydoZja5NcspD4C5FkdZJK4mI7kiRp2fDGZhlKsh64D3AncBdwHnAi8J6quruqXjjG6q0IbVLzoaraa5z1qKoDxnl9SZKklcYRrOXrSVW1M7AvcBzw58A/LtbFVtIoRBr+2ZEkSdLP8SZxmauqn1TVJ4DfAZ6T5CFJ3p/kDQBJzk/yxOnySbZKclWSh7Xvn9xOM7uunbb34IGy65P8eZJzgJvac/dO8vEkP05ydZJ3DpR/Xnu9a5N8Nsm+A8cek+Q7SX7SnpOZ2pTk8UnOS3JDkkuT/OnAsScmObut79eS/MpQfV/Vnnttkvcl2a49tmuST7X1vrZ9vdfAuVNJ3pjkq8DNwP2SHNm254YkFyU5qi27I/BvwKokN7bbqiRbJDk6yYXtZ3NqknsNXONZSS5uj71mE+3/jST/NfD+C0m+MfD+K0meMtDmQ9vX27ff/bVJzgMePhT3wW07r2u/8ye3++/b7tuiff8PSa4cOO9DSV7Wvt4lyT8mubz9bt6QZMv22JZJ3tL2r4uAJ8zURkmSpN6qKrdltgHrgUNH7P8h8CLg/cAb2n2vA/55oMwTgO+0rx8I3AQ8BtgaeCVwAbDNwHXOBvYGtge2BL4N/C2wI7Ad8Ki27FPacx9MMzX1tcDX2mO7A9cDT22v8yc00xtfMEP7Lgd+rX29K/Cw9vXDgCuBg9u6PKet47YD9f3vtr73Ar468DnsBvw2sAOwM/AR4LSBa061n98Bbf23bj+r+9Mkg4fQJF7TdVkLXDJU75cBZwB7AdsC7wZObo/tD9wI/Hp77G3tZzDqe9wOuKX93LYCfgRc1tZ7+/bYbsN9gWYk88tt2/duP4tL2mNbt9/Pq4FtgEcDNwC/NNB3Dmpffxe4CHjwwLGHtq9Pa9u1I3Bv4BvAUe2xFwLfGfj8/wMoYKsZvuc/ANYB6/aBqknapAHAulqEv8sPGnc/t99rE+z3Wonm2u8dwVpZLqO5sR10EvDkJDu075/R7oNm1OvTVfX5qroDeAvNDfz/N3D+8VW1oapuAR4BrAL+rKpuqqpbq+orbbmjgDdX1flVdSfwJuDAdhTr8cB5VfXR9jpvp0kaZnIHsH+Se1TVtVX1zXb/7wPvrqozq+quqvoAcBvwyIFz39nW9xrgjcDvAlTV1VX1saq6uapuaI8dMnTd91fVuVV1Z1XdUVWfrqoL2z9zpwOfA35tE/U+CnhNVV1SVbcBxwBPbadXPhX4VFV9qT32F8Ddo4JU1a00icevA2uAc4CvAL/atvX7VXX1iFOfDryxqq6pqg3A8QPHHgnsBBxXVbdX1ReBT01/PsDpwCFJfqF9/9H2/X2BewDfTnIf4DDgZe33fyVNsn3EwPXfPvD5v3kTnxVV9Z6qWlNVa/bYVEFJkqQJsmKemxEAewLXDO6oqguSnA88KckngScDD20PrwIuHih7d5INbZxpGwZe7w1c3CZQw/YF3pHkrQP70sZaNRinqqq9zkx+m2YE7Lh2euLRVfX19hrPSfLHA2W3aeOPqu/F08faBPNvgcfRjIoB7Jxky6q6a8S5JDkMeD3NSN8WNKNf/8XM9gX+Jclg4nQXzYIkw5/BTUlGJUnTTqcdJWtfX0uTEN7Wvh9lo2sw8N1OH6uqu4eOT3/Xp9P0jUuAL9GM6D0LuBX4cts39qUZCbs8+ekMzy0Grrmp60uSJC0LjmCtEEkeTnOz/JURh0+mGak4nGYk6YJ2/2U0ScF0jNAkUZcOnFsDrzcA+2T0ghcbaKaK3XNg276qvkYz5W/vEdcZqar+s6oOp5mCdhpw6sA13jh0jR2q6uSB0wfj7tO2EeAVwC8BB1fVPWhGh2DjZ8F+2tYk2wIfoxnVu09V3RP4zED5wc9l8DM4bKh+21XVpSM+gx1opi3OZDrB+vX29ek0CdYhzJxgbXQNmvZPuwzYOxsv3rEPP/uuT6cZnVvbvp4eMRu83gaaBG/3gfbdo362kuGmri9JkrQsmGAtc0nukWYRiw/TLBs+aoTlw8BjaZ7POmlg/6nAE5L8ryRb0yQhtwFfm+Fy36C5iT4uyY5Jtkvyq+2xE4BXJTmgrdcuSZ7WHvs0cECS32qTs5cA01PRBn8vaXWSbZI8M8ku7XTC62lGgQDeC7wwycFp7JjkCUl2HqjjHybZq11c4tXAKe3+nWmeXbquPfb6Gdo4bRuaZ6V+DNzZjmY9duD4FcBuSXYZ2HcC8MZ2pIckeyQ5vD32UeCJSR6VZBvgWAb+fKb5zarBpO1rNAnhI4BvVNW5NMnwwTQjTKOcSvMd7JpmAY/Bkb4zaZ63e2WSrdMsM/8kmr5BVX2//Xx+D/hSVV3ftvG3aROsqrqcZprkW9t+t0WS+yeZnmp5KvCS9vPfFTh6hnpKkiT1lgnW8vXJJDfQjCq8hmbRhCNHFWxvjL9O82zVKQP7v0tzQ/13wFU0N9xPqqrbZ4hzV1tmP5qFDy6heY6LqvoX4K+ADye5nmaBhcPaY1cBT6NZhOFq4AE0C1BM25tmOtn0aMqzgPVtnBe2daSq1tE8h/VOmilzFwDPHarmSTRJwEXt9oZ2/9tpni+7imYhiv83qo0Dbb2BJhE8tb3WM4BPDBz/Ds3I4EXtCnyrgHe0ZT7Xfjdn0CREtAnSH7b1u7yNOfgjwHvTfEfT8W8CvgmcO/B9fJ1miuaVjPaXNJ/jD9rP4IMD8W6nmQJ4WPsZvAt4dtuOaacDV1fVDwfeB/jWQJln0ySf57Vt+Cjwi+2x9wKfpVkI5ZvAx2eopyRJUm+lWRBDmlxJXgv8uKrevcA462lWJvxCJxVbQkn+AfhIVX123HUZhzVJrRt3JQb596YGJDmrqtZ0Hdd+r0lmv9dKNNd+7yIXmnhV9YbZSy1vVfWCcddhpVo7cufIvUxNTS1eRaQltHbkzpF77fdaNtaO3Dlyr/1em+QUQUmSJEnqiCNYWjGqavW466D+mRq5c+ReadmYGrlz5F5p2ZgauXPkXmmTHMGSJEmSpI6YYEmSJElSR0ywJEmSJKkjJliSJEmS1BETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJWnyHXQQVE3OJi0F+71WIvu9lgETLEmSJEnqiAmWJEmSJHXEBEuSJEmSOmKCJUmSJEkdMcGSJEmSpI6YYEmSJElSR0ywJEmSJKkjKdf4lzThktwAfHfc9ejQ7sBV465Eh1Z6e/atqj26roT9fuKt9PbY7+dmpfeTSbco/X6r+ddHkpbMd6tqzbgr0ZUk62zP5Jqg9tjvJ5jtWTT2+wlme+bGKYKSJEmS1BETLEmSJEnqiAmWpD54z7gr0DHbM9kmpT2TUo+u2J7JNintmZR6dMX2TLZFaY+LXEiSJElSRxzBkiRJkqSOmGBJkiRJUkdMsCRNjCSPS/LdJBckOXrE8W2TnNIePzPJ6qWv5dzNoT0vT3JeknOS/HuSfcdRz7marT0D5Z6apJJM9FK+c2lPkqe339G5SU4aRz3s9+Nlv7ffz4X93n6/kapyc3NzG/sGbAlcCNwP2Ab4NrD/UJkXAye0r48AThl3vRfYnt8Admhfv6jv7WnL7Qx8CTgDWDPuei/w+3kA8C1g1/b9vcdUD/v9BLenLWe/774e9vsJbk9bzn4/w+YIlqRJ8Qjggqq6qKpuBz4MHD5U5vD/v707j7erru/9//pAEGTUS8DKGBBQkP6uNMehrda0osXZts4y1QErWu1FbbH6oxZtnSpWW616RWWoA3hbS6lelFsO4IDXRMAKCAZIDAQZwjwEQT73j7UCOyc7ZCfne/ba371fz8djP85Za6/93t+V84Wsd9ba6wAntd9/DXhWRMQQx7gxNrg/mXlOZt7dLl4A7DbkMW6MQX4+AO8DPgysHubgNsEg+/MG4JOZeQtAZt7Q0Tic991x3jvvB+G8H21Dn/cWLEmjYldgRc/yNe26vttk5v3AbcCOQxndxhtkf3q9DvjmnI5odja4PxFxELB7Zp45zIFtokF+PvsB+0XEdyPigog4pKNxOO+747x33g/CeT/ahj7v583mxZJUUL9/mZz5eyQG2WZUDDzWiDgUmAKeOacjmp2H3Z+I2Az4GHDksAY0S4P8fObRXDayiOZfm8+PiAMz89Yhj8N53x3nvfN+EM770Tb0ee8ZLEmj4hpg957l3YCV69smIuYBOwA3D2V0G2+Q/SEiDgbeDbwoM+8d0tg2xYb2ZzvgQGA6IpYBTwPOGOEPPg863/4tM+/LzKuBy2n+Au5iHM77bjjvnfeDcN4779fW9QfPfPjw4SMzofnXo6uAvXjoQ6hPnLHNm1n7Q8+ndT3uWe7PQTQfvN236/GW2J8Z208z2h96HuTncwhwUvv9fJpLTHbsYBzO+xHenxnbO+/LjcN5P8L7M2N75/2Mh2ewJI2EbK6xfwtwFnAZzV+ml0TE8RHxonazE4EdI2IpcAyw3lvHdm3A/fkIsC1wekRcFBFndDTcDRpwf6ox4P6cBayKiEuBc4B3ZuaqDsbhvO+I8955Pwjn/WjrYt5H29QkSZIkSbPkGSxJkiRJKsSCJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKkQC5YkSZIkFWLBkiRJkqRCLFiSJEmSVMi8rgcgSRsyf/78XLBgQdfDkPpasmTJTZm5U+lc571GmfNek2jQeW/BkjTyFixYwOLFi7sehtRXRCyfi1znvUaZ816TaNB57yWCkiRJklSIBUuSJEmSCrFgSZIkSVIhFixJkiRJKsSCJUmSJEmFWLAkSZIkqRBv0y5p5C2/82beeP6XZp2z8sJLOfu4T3Dw8W9ll4MOKDCyycz/zDNeXfy9ta7rV93NCSeVu1310suWcPKnjuXwoz/IPvsvLJZr/vodc8RUkZxJcseqn8AVTyqeO/2DO3nZ25Zx+scXsOip25rfQf6iw5YWzx1VnsGSNBFGpZxMar66VWM5Gad8DW67bcofmo5DORmH/EliwZI09movJ7Xnq1u1l5Pa89WtcSkn45A/SSxYksZa7eWk9nx1q/ZyUnu+ujVO5cT8uliwJI2t2stJ7fnqVu3lZBzy1Z3ay4P5dbNgSRpLtZeT2vPVrXEoJ+OQr27UXh7Mr58FS9LYqb2c1J6vbo1LORmHfA1f7eXB/PFgwZI0VmovJ7Xnq1vjVE7M18aqvTyYPz4sWJLGRu3lpPZ8dav28mC+ZqP28mD+eLFgSVpLRLwrIr4xY93P1rPulZv4Hosi4prZjHOm2stJ7fnqVu3lwXzNRu3lwfzxY8GSNNN5wG9HxOYAEfFrwBbAb8xYt0+7bedqLye156tbtZcH8zUbtZcH88eTBUvSTD+kKVRPapd/BzgHuHzGuiszc2VEPCEivh0RN0fE5RHx8jVBEfG8iLg0Iu6IiGsj4h0RsQ3wTWCXiLizfeyyqYOtvZzUnq9u1V4ezNds1F4ezB9fkZldj0HSiImIc4AzMvNjEfGPwI+AxwE39azbGvhT4KfAccApwP8HfAt4ZmZeEhHXAS/PzPMj4tHAXpn5o4hYBJyambs9zBiOAo4C2AMWLp+zvdXQjdnfOxGxJDOnSudOReTi0qHqjvN+IM77MTJmcx4Gn/eewZLUz7k0Z6kAngGc3z56150LvABYlplfyMz7M/NHwP8CXtpudx9wQERsn5m3tM8PJDM/m5lTmTm1U4EdkiRJGgYLlqR+zgOe3p512ikzfwZ8D/itdt2B7TZ7Ak+NiFvXPIDXAL/W5vwR8DxgeUScGxG/OfQ9kSRJGqJ5XQ9A0kj6PrADzSV63wXIzNsjYmW7bmVmXh0RK4BzM/PZ/UIy84e0t5GWAAAgAElEQVTAiyNiC+AtwGnA7sD4XTcgSZKEZ7Ak9ZGZ9wCLgWNoLg1c4zvtujV3DzwT2C8iDouILdrHkyNi/4h4RES8JiJ2yMz7gNuBX7Wvux7YMSJ2GM4eSZIkDYdnsCStz7nAb9KUqjXOpzkTdR5AZt4REc8BTmgfmwEX05QwgMOAf2xv7345cGj7up9GxJeBq9rnDsjMlXO/S5orizZq48G2np6e3viBSEO0aKM2Hmxr571G3aKBNxx4y7Gb9xYsSX1l5ruAd81YdxrNZX696y4Hnr+emEMeJv+1sx2jJEnSqLFgSZJmbXqjNt6oraWRNb1RG2/U1tLImh54w4G3HDt+BkuSJEmSCrFgSZIkSVIhFixJkiRJKsTPYEkafQsXwuLFXY9CGi7nvSaR815jwDNYkiRJklSIBUuSJEmSCrFgSZIkSVIhFixJkiRJKsSCJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKkQC5YkSZIkFWLBkiRJkqRCLFiSJEmSVIgFS5IkSZIKsWBJkiRJUiEWLEmSJEkqxIIlSZIkSYVYsCRJkiSpEAuWJEmSJBUyr+sBSNKGLL/zZt54/peKZK288FLOPu4THHz8W9nloAOKZE5q/mee8eri76+HXL/qbk44aXHRzKWXLeHkTx3L4Ud/kH32X1g0e9Lyjzliqvj7Cy6+aAnTp+zDoqduWzx7+gd38rK3LeP0jy8wf67y97uo7KAq5RksSRNjlMrJJOarW6NUTiYxX4PZe/ctR7c8mK8BWbAkTYTay0nt+epW7eWk9nwNbrttyh+a1l5Oas+fRBYsSWOv9nJSe766VXs5qT1f3aq9nNSeP6ksWJLGWu3lpPZ8dav2clJ7vrpVezmpPX+SWbAkja3ay0nt+epW7eWk9nx1q/ZyUnv+pLNgSRpLtZeT2vPVrdrLSe356lbt5aT2fFmwJA1RRExHxOvn+n1qLye156tbtZeT2vPVrdrLSe35aliwJBERT4+I70XEbRFxc0R8NyKePMvM90bEqaXGOKjay0nt+epW7eWk9nx1q/ZyMg75aliwpAkXEdsDZwL/APw3YFfgr4F7uxzXpqi9nNSer27VXk5qz1e3xqGcjEO+GhYsSfsBZOaXM/NXmXlPZn4rM38cEZtFxHsiYnlE3BARJ0fEDgARsSgirukNiohlEXFwRBwC/CXwioi4MyIu7tlsz/YM2R0R8a2ImF9iJ2ovJ7Xnq1u1l5Pa89WtcSkn45CvRmRm12OQ1KH2DNbVNGexvgJckJm3tM+9lqYoPQe4ATgZuCszD4uIRcCpmblbT9Yy4PWZeXZEvBfYJzMP7Xl+GtgdeC6wAvhm+37H9hnXUcBRAHvAwuVld1vDNOZ/z0TEksycKp07FZGLS4dqeJz3m8R5XznnPeAZLGniZebtwNOBBP4ncGNEnBERjwFeA5yQmVdl5p3Au4BXRsS8WbzlFzLzisy8BzgNeNJ6xvXZzJzKzKmdZvFmkiRJw2TBkkRmXpaZR7Znow4EdgH+vv3ae/JoOTAPeMws3u4XPd/fDXgbI0mSNDYsWJLWkpk/Bb5IU7RWAnv2PL0HcD9wPXAXsPWaJyJic6D3ZNN4XycgSZLUhwVLmnAR8YSIeHtE7NYu7w68CrgA+DLwPyJir4jYFvhb4KuZeT9wBbBVRDw/IrYA3gNs2RN9PbAgIvz/jCRJmhiz+RyFpPFwB/BU4JiIeBRwK80NL94J3ElzmeB5wFbAWcCfAmTmbRFxNPA5YHPgw0DvXQVPBw4FVkXE1Zn5G8PZHXVpUd+Va6+dnp6e+4FIQ7So78q11zrvNW4W9V259tpJnfcWLE2E9o535wB/nJlf7HY0oyUzrwVe/jCbHN8++r32izSXE67xdz3PraK5eUbv9os28HpJkqSqWbA0p3qKTa+7aC4vOwX4h/ZyM0ljYLrvyr5rpbEx3Xdl37XS2Jjuu7Lv2oljwdKwfBn4BhDArwGHAycA+9P+rqM5dh7wSOC+IbyXJEmSJpQFS8Pyo8w8dc1CRHwK+Cnw+oh4d2beOJdvnpkPAKvn8j0kSZIk7+6lTmTmXTR3qQvgcb3PRcRURPxrRNwUEfdGxOUR8e5+v9w2Iv4oIi6OiNUR8fOI+KuIODgiMiKO7Nlu0cx17fptIuIDEXFl+16/iIiTI2LPGds9+PqI+OOIuKTdfnlE/HnBPxpJkiRVzDNY6tKaYnXzmhUR8TzgX4GlwEfb536T5iYLTwJe1rPtK2guPbwS+Gua3890BPDCQd68LWxnAb8NfK19v32BNwHPiYipzLxmxsv+hOaX7J5Ic7e9Q4EPRcQ1mfmlQXdckiRJ48mCpWHZOiLm89BnsP4EOAj4YWZeARARWwGfB34A/F7PzS8+ExEXAydExKLMnG7L0QnAjcBTMvOWNuOfgB8POKY/pilXH8nMB89CRcTZNLcp/wBw2IzX7AEckJm3ttt+HlhOc+tyC9ZcWbgQFi/uehTScDnvNYmc9xoDXiKoYflrmjJ0A00BOhr4F+BFPds8m+bs0BeAR0XE/DUPmhtkADyn/bqQ5vczfXFNuQLIzDuBTw84pj8AHqApUg/KzP8ALgJe3OeX5H5hTblqt72b5lLHfQd8T0mSJI0xz2BpWD5L84tntwB+HfgLYDfWvvHE/u3Xzz9MzmPar3u1Xy/vs02/df3sBazsLWg9LqG5JHE+TSlc46o+264CdhzwPSVJkjTGLFgalp9l5tnt99+MiO8A36E52/TKdn20X99Jcwapn5Uztp2NTcn4VYH3lSRJ0piyYKkTmfm9iDgFODwiPpGZ3wN+1j59V08ZW5+r26+P7/Ncv3X9XAkcEhGP6r3sr3UAcDtw04BZkiRJkp/BUqfeR3NG6Ph2+Syay/GOjYj/NnPjiHhkRGzXLi4GrgOOjIhH92yzLc0NNAbxdZr/Bo6d8T7PpbkBxxnt78+SJEmSBuIZLHUmM5dGxFeA10TEMzLz/Ig4nKb4XN7eoW8p8CjgCcAf0tyYYjoz74+IdwD/DPzfiDiR5jbtR9J8JmovIDcwhC/S3Nb9LyJiAXAesA/NDTiuB/6y3N5KkiRpEliw1LW/AV5FcxbrdzPzrIh4Ms1ZpUOBnYBbaC7nO4GeW7Bn5pci4n7gPTR3Kbye5vdT/ZjmDoX3PNwbZ+Z9EfH77etfQVPgbqW5Gcd7MnNFwf2UJEnSBLBgaU5l5jQPczOJzLwM2HzGup/QlKtB8k8DTutdFxFvb7/9+YbGkZl3Ae9qHw/3Pn1f3z53JM2ZM0mSJE04P4OlakXEIyJi8xnrtgXeTHOZ4I86GZgkSZImlmewVLO9aW75/hWauwo+luYzVXsBb8rMX3Y5OEmSJE0eC5ZqdiNwAfAaYGeam1z8F3Bse+mgJEmSNFQWLFUrM1fR3CBDkiRJGgl+BkuSJEmSCrFgSZIkSVIhFixJkiRJKsSCJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIfO6HoAkbcjyO2/mjed/qWjmygsv5ezjPsHBx7+VXQ46YKNe+5lnvLroWKR+LrzwIo4+9jPss//CjX7tMUdMzcGIJEmD8AyWpIkzm3IlDcuOO++6SeVKktQtC5akiWK5Ui223GqbrocgSdoEFixJE8NyJUmS5poFS9JEsFxJkqRhsGBJGnuWK0mSNCwWLEljzXIlSZKGyYIlaWxZriRJ0rBZsCQRERkR+3Q9jpIsV5IkqQsWLGnERcSyiLg+IrbpWff6iJjexLzpiHh9sQFu2hgWtKVuTn7ZueVKk2zpZUu6HoIkTTQLllSHecDbZhMQjbH/b36uy9XKCy8tnimVsvSyJZz8qWO7HoYkTbSxP9iSxsRHgHdExKNmPhERvxURP4yI29qvv9Xz3HRE/E1EfBe4GzgFeAbwjxFxZ0T8Y0/UwRHxs4i4JSI+GRHRk/PaiLisfe6siNiz57mPR8SKiLg9IpZExDN6nntKRCxun7s+Ik5onzqv/XprO47fLPGHNIxydfZxnyieK5WwplwdfvQHux6KJE20yMyuxyDpYUTEMuD1wNHApZn5nvYSv0OBPwSuBN4KfBl4GfApYJ/MXNVeRrg38FzgciCAbwOnZubnet4jgf9oM7cHlgCHZeb/joiXAH8HvBD4GXAs8LzM/K32tYcC3wRuoznL9k5gQWaujojvA5/KzFMiYlvgwMy8ICIWAFcDW2Tm/evZ76OAowD2gIXL1/cH5P/D1LGIWJKZU6VzpyJycb8nnPMaAc57TaJB571nsKR6HAf8aUTs1LPu+cDPMvOUzLw/M78M/JSmDK3xxcy8pH3+vofJ/2Bm3pqZPwfOAZ7Urn8j8IHMvKwtQ38LPGnNWazMPDUzV7X5HwW2BB7fvvY+YJ+ImJ+Zd2bmBYPubGZ+NjOnMnNqpw1vLkmSNBIsWFIlMvMnwJk0Z5DW2AWYeXJnObBrz/KKAd/iFz3f3w1s236/J/DxiLg1Im4FbqY5E7YrQES8vb188Lb2+R2A+e1rXwfsB/y0vXzxBQOORZIkqUoWLKkufwW8gYcK1EqaAtRrD+DanuWZ11Vs7HUWK4A3Zuajeh6PzMzvtZ+3+gvg5cCjM/NRNJcKBkBm/iwzXwXsDHwI+Fp7N0Sv9ZAkSWPJgiVVJDOXAl+l+cwVwDeA/SLi1RExLyJeARxAc6Zrfa6n+VzWoD4NvCsinggQETtExMva57YD7gduBOZFxHE0n+Gi3fbQiNgpMx8Abm1X/6rd/oGNHIckSdLIm5PfQSNpTh0PHAbQ3sjiBcDHgX8ClgIvyMybHub1HwdOiog3Aadk5lsfZlsy81/bG1R8pf3c1W00N8o4HTiL5gYXVwB3AR9j7UsSDwFOiIitaS5dfGVmrgaIiL8BvhsRWwCHbMznsxattdAsTU9PD/pyqUqLHvzmwe+c9xp7ix785sHvnPcaeRYsacRl5oIZyyuArXqWvwMsXM9rF/VZ932az0X1rosZy0fOWD6F5hbvM7N+RfM5q9f1rP5wz/OH9htX+9xxNDfukCRJGhsWLEnVmV5rYbr/RtKYmX7wm+n1bySNmekHv5le/0bSiPEzWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVp9C1cCJn9H9K4Wt+8l8aZ815jwIIlSZIkSYVYsCRJkiSpEAuWJEmSJBViwZIkSZKkQixYkiRJklSIBUuSJEmSCrFgSZIkSVIhFixJkiRJKsSCJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKkQC5YkSZIkFWLBkiRJkqRCLFiSJEmSVIgFS5IkSZIKmdf1ACRpQ5becC1vPP9LxXNXXngpZx/3Ce659fbi2dJs/fzaG9l2+0dz+NEfZJ/9FxbPX3rZEk7+1LFr5R9zxFTx95E2yupL4YonMf2DO3nZ25Zx+scXsOip2xZ/m7XyD1taPF+TzTNYkkbeFls/snjmmnJ18PFvLZ4tlbDqhmuHWq6kUTHUcjUH+ZIFS9LE6S1Xuxx0QNfDkfraceddLVeaOHfc9YDlStXzEkFJE8VypVpsudU2xTMtVxp1V624l29/4XGWK1XNM1iSJoblSpPMcqUa7L37lpYrVc+CJWkiWK40ySxXqsV225Q/NLVcadgsWJLGnuVKk8xypUlmuVIXLFjSBImIT0fE//8wz2dE7DPMMc01y5UmmeVKk8xypa54kwtpTETEMmAXYJfMvKln/UXAfwf2ysw/6Wh464iIBPbNzDn7BSSWK00yy5UmmeVKXfIMljRergZetWYhIn4dKP9LpCpgudIks1xpklmu1DULljReTgEO71k+Ajh5zUJEfDEi3t+z/M6IuC4iVkbEa3vW7xURt0bEZu3y5yLihp7nT42IP2u/3yEiTmxzro2I90fE5u1z+0TEuRFxW0TcFBFfbdef10ZdHBF3RsQrSv4hWK40ySxXmmSWK42CyMyuxyCpgPYSwdcDnwReAlwBLAOe3n7dC3gvcE1mviciDgFOAp5Fc+brf9Kc/do3M5dGxM+BP8jMJRFxObAF8PzMvKx97sWZeWFEfB24HjgG2AY4EzgxMz8TEV8GfgJ8AHgEMJWZ32nH+7CXCEbEUcBRAHvAwuXF/qQ2wP8naiNFxJLMnCqdOxWRi0uHro/zXhvJea9JNOi89wyWNH7WnMV6NvBT4Nr1bPdy4AuZ+ZPMvIumfPU6F3hmRPxau/y1dnkvYHuas0+PAZ4L/Flm3pWZNwAfA17ZvuY+YE+az4WtXlOuBpGZn83Mqcyc2mnQF0mSJHXMm1xI4+cU4DyaM1YnP8x2uwBLepZnniQ6F3gRcE2bNw0cBqwGzs/MByJiT5ozW9dFxJrXbQasaL//c+B9wP+NiFuAj2bm5zdttyRJkkafBUsaM5m5PCKuBp4HvO5hNr0O2L1neY8Zz58LfISmYJ0LfAf4NE3BOrfdZgVwLzA/M+/vM5ZfAG8AiIinA2dHxHlzeedASZKkLnmJoDSeXgf8Xnvp3/qcBhwZEQdExNbAX/U+mZk/A+4BDgXOy8zbaT5r9Ue0BSszrwO+BXw0IraPiM0i4nER8UyAiHhZROzWRt4CJPCrdvl6YO8C+ypJkjQyPIMljaHMvHKAbb4ZEX8P/CfwAPAe4DUzNjsXeFpm/rxn+QnAhT3bHA58ELgU2A64CvhQ+9yTgb+PiB1oCtXbMvPq9rn3AidFxCOBozLztI3ayUIWrbNinTVMT0/P/UCkIVq0zop11jjvNXYWrbNinTXOexVhwZLGRGYuWM/6+4E1H5A6csZzH6QpR2t8fsbzr5qx/A7gHTPW3Qa8qX3MfO8/p/kcVr9xfZrmkkNJkqSxYcGSNNGm11mxzhpp7Eyvs2KdNdLYmV5nxTprpCL8DJYkSZIkFWLBkiRJkqRCLFiSJEmSVIgFS5IkSZIKsWBJGn0LF0LmcB7SqHDeaxI57zUGLFiSJEmSVIgFS5IkSZIKsWBJkiRJUiEWLEmSJEkqxIIlSZIkSYVYsCRJkiSpEAuWJEmSJBUS6e8BkDTiIuIO4PKux1HQfOCmrgdR0KTvz56ZuVPpQTjvR96k74/zfjCTPk9G3ZzM+3mbPh5JGprLM3Oq60GUEhGL3Z/RNUL747wfYe7PnHHejzD3ZzBeIihJkiRJhViwJEmSJKkQC5akGny26wEU5v6MtlHZn1EZRynuz2gblf0ZlXGU4v6MtjnZH29yIUmSJEmFeAZLkiRJkgqxYEmSJElSIRYsSSMjIg6JiMsjYmlEHNvn+S0j4qvt8z+IiAXDH+XgBtifYyLi0oj4cUT8n4jYs4txDmpD+9Oz3UsjIiNipG/lO8j+RMTL25/RJRHxpS7G4bzvlvPeeT8I573zfi2Z6cOHDx+dP4DNgSuBvYFHABcDB8zY5mjg0+33rwS+2vW4Z7k/vwts3X7/ptr3p91uO+A84AJgqutxz/Lnsy9wIfDodnnnjsbhvB/h/Wm3c96XH4fzfoT3p93Oeb+eh2ewJI2KpwBLM/OqzPwl8BXgxTO2eTFwUvv914BnRUQMcYwbY4P7k5nnZObd7eIFwG5DHuPGGOTnA/A+4MPA6mEObhMMsj9vAD6ZmbcAZOYNHY3Ded8d573zfhDO+9E29HlvwZI0KnYFVvQsX9Ou67tNZt4P3AbsOJTRbbxB9qfX64BvzumIZmeD+xMRBwG7Z+aZwxzYJhrk57MfsF9EfDciLoiIQzoah/O+O8575/0gnPejbejzft5sXixJBfX7l8mZv0dikG1GxcBjjYhDgSngmXM6otl52P2JiM2AjwFHDmtAszTIz2cezWUji2j+tfn8iDgwM28d8jic991x3jvvB+G8H21Dn/eewZI0Kq4Bdu9Z3g1Yub5tImIesANw81BGt/EG2R8i4mDg3cCLMvPeIY1tU2xof7YDDgSmI2IZ8DTgjBH+4POg8+3fMvO+zLwauJzmL+AuxuG874bz3nk/COe9835tXX/wzIcPHz4yE5p/PboK2IuHPoT6xBnbvJm1P/R8WtfjnuX+HETzwdt9ux5vif2Zsf00o/2h50F+PocAJ7Xfz6e5xGTHDsbhvB/h/ZmxvfO+3Dic9yO8PzO2d97PeHgGS9JIyOYa+7cAZwGX0fxleklEHB8RL2o3OxHYMSKWAscA6711bNcG3J+PANsCp0fERRFxRkfD3aAB96caA+7PWcCqiLgUOAd4Z2au6mAczvuOOO+d94Nw3o+2LuZ9tE1NkiRJkjRLnsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKkQC5YkSZIkFWLBkiRJkqRCLFiSJEmSVIgFS5IkSZIKsWBJkiRJUiEWLEmSJEkqxIIlSZIkSYVYsCRJkiSpkHldD0CSNmT+/Pm5YMGCroch9bVkyZKbMnOn0rnOe40y570m0aDz3oIlaeQtWLCAxYsXdz0Mqa+IWD4Xuc57jTLnvSbRoPPeSwQlSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSId6mXdLI+9FFF/LCT7yHXQ46oHj2ygsv5ezjPsHBx7/V/AnL/8wzXl38/Uq6ftXdHH3sZzj5U8dy+NEfZJ/9FxZ/j6WXLTF/jvKPOWKq+HgmwupL4YonATD9gzt52duWcfrHF7DoqdsWfyvzO8jf76IyOSPOM1iSRt72u+w8dgf35tefP9fuXX3XyJYH8zXXqiwP5qtlwZI08rbY+pHFM2s/uDe/2/xhWHXDtdWWB/M1G7WXB/NlwZI0cWo/uDe/2/xh2XHnXassD+ZrNu6464Gqy4P5AguWpAlT+8G9+d3mD9OWW21TPLP2clJ7vjbsqhX3VlsezN9w/qSwYEmaGLUf3JvfbX7tai8ntedrMHvvvmW15cH8DedPCguWpIlQ+8G9+d3m1672clJ7vga33TblD03HpZyMQ/6ksGBJGnu1H9yb321+7WovJ7Xnq1vjVE7Mr4cFS9JYq/3g3vxu82tXezmpPV/dqr08mF8vC5aksVX7wb353ebXrvZyUnu+ulV7eTC/bhYsSWOp9oN787vNr13t5WQc8tWd2suD+fWzYEkaO7Uf3JvfbX7txqGcjEO+ulF7eTB/PFiwJI2V2g/uze82v3bjUk7GIV/DV3t5MH98WLAkjY3aD+7N7za/duNUTszXxqq9PJg/XixYksZC7Qf35nebX7vay4P5mo3ay4P548eCJal6tR/cm99tfu1qLw/mazZqLw/mjycLlqSq1X5wb363+bWrvTyYr9movTyYP74sWJKqVfvBvfnd5teu9vJgvmaj9vJg/nizYEmqUu0H9+Z3n1+z2suD+ZqN2suD+ePPgiWpOuNwcG9+9/m1qr08mK/ZqL08mD8ZLFiSqjIuB/fmd59fo9rLg/majdrLg/mTw4IlqRrjdHBv/vjlz7Xay4P5mo3ay4P5k8WCJakKtR98mz/e+XOt9vJgvmaj9vJg/uSxYEmaMxGxICIyIubNJue+u++p+uDb/PHOn2u1lwfzNRu1lwfzJ5MFS9J6RcSyiPhlRMyfsf6itjgtGMY4bl95Q7UH3+aPd/5cq708mK/ZqL08mD+5LFiSNuRq4FVrFiLi14FHDnMA2++yc5UH3+aPd/5cu3f1XVWXB/M1G7WXB/MnmwVL0oacAhzes3wEcPKahYh4fkRcGBG3R8SKiHjv+oIiYoeIODEirouIayPi/RGx+YYGsMXW5ftc7Qf35nebPwyrbri22vJgvmaj9vJgviIzux6DpBEVEcuA1wOfBF4CXAEsA57eft0LWACsAi4BDgS+DbwxM7/eXkJ4NbBFZt4fEV8HrgeOAbYBzgROzMzP9Hnvo4CjAPaAhcvnZhdVkxH9+yoilmTmVOncqYhcXDpU9XHeaxJVPu89gyVpEGvOYj0b+Clw7ZonMnM6M/8rMx/IzB8DXwaeOTMgIh4DPBf4s8y8KzNvAD4GvLLfG2bmZzNzKjOndiq/P5IkSXNiVnf2kjQxTgHOozljdXLvExHxVOCDNGevHgFsCZzeJ2NPYAvguohYs24zYMXcDFmSJGn4PIMlaYMycznNpX7PA/5lxtNfAs4Ads/MHYBPA8G6VgD3AvMz81HtY/vMfOIcDl2SJGmoLFiSBvU64Pcy864Z67cDbs7M1RHxFODV/V6cmdcB3wI+GhHbR8RmEfG4iFjnckJJkqRaWbAkDSQzr8zs+9njo4HjI+IO4DjgtIeJOZzmMsJLgVuArwGPLT1WSZKkrvgZLEnrlZkL1rP+fh66DHAZTVHqt92ynu3IzNuAN7UPSZKkseMZLEmSJEkqxIIlSZIkSYVYsCRJkiSpEAuWJEmSJBViwZIkSZKkQryLoCRpZC1aa+Ghpenp6eEORBqiRWstPLTkvNc4W7TWwkNLNc57z2BJkiRJUiGewZIkjazptRam+28kjZnptRam+28kjZnptRam+29UCc9gSZIkSVIhFixJkiRJKsSCJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKmQeV0PQJI2aOFCWLy461FIw+W81yRy3msMeAZLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKkQC5YkSZIkFWLBkiRJkqRCLFiSJEmSVIgFS5IkSZIKsWBJsxAR742IjIgFXY9FkiRJ3bNgaWRFxFYRcXRE/GdE3BgR90XErRHxw4j4UEQ8oesxSpIkSb3mdSsIo5gAAA9cSURBVD0AqZ+I2Bs4E9gfOBf4GHAdsC3wJOC1wDsiYo/MvLazgUqSJEk9LFgaORHxSOA/gMcBf5iZ/9pnm62A/wHkkIc35yJiC2DzzFzd9VgkSZK0cbxEUKPo9cATgI/0K1cAmbk6Mz+QmSt710fEDu3lg0sj4t720sIvt2fEerc7sv3s1O9FxDsi4sp2+ysi4oiZ7xcRm0XEuyLi6ohYHRH/FRGvWd8ORMRjI+KfIuLnEfHLiFgZEZ+NiJ1nbLfmM1xPjIgTIuIaYDXwtMH/uCRJkjQqPIOlUfTS9uvnNuZFEbED8D1gD+DzwCXAY4GjgR9ExFRmLp/xsr8FHgl8BrgXeBPwxYhYmpnf7dnuBOBtwHk0lyvuDHwSuKrPOPYAvg88AjgRuBLYp83+3XYct8142T8D9wAfpTkrd93G7LskSZJGgwVLo+hA4PbMvLp3ZURsDjx6xrZ3ZeY97ffHA3sDT8vMi3te90Xgv4C/Bo6c8fotgSdn5i/bbb9GU5reAny3Xfd44K3AfwLPycxftev/BVjcZ/z/AGwBHJSZ1/SM43TgAppLG9874zW3Agdn5v198iRJklQJLxHUKNoeuL3P+v2BG2c83gwQEQG8huYM07URMX/NA7iLptg8p0/mp9aUK4D2hhlXAPv2bPNiIIAT1pSrdtsfAd/uDWvPor0AOANYPWMcy4Cl6xnH31uuJEmS6ucZLI2i22lK1kxXA89uv//vwN/1PLcTsCNNeblxPbkP9Fm3ziV+wCpgz57lNZ/f+mmfbS9l7cL0eJp/uHhd++in33tesZ5tJUmSVBELlkbRT4DfiYi9ei8TzMy7gLMBImLm2Z5ov54NfGgj3utX61kffb7vd8fCWM/yqcBJ68m+p8+6u9ezrSRJkipiwdIo+hrwOzR3E3z3gK+5keZzTNtn5tmFx3Nl+3V/1j37tP+M5aU0RewRczAOSZIkjTg/g6VR9Dmay/HeGRF/sJ5t1jpzlJkP0NyJ7ykR8dK+L5hxi/SNcAZNaTqmvdHGmrzfAA6eMY5VwDeAP4yIdW61Ho2dNnEckiRJGnGewdLIycx7IuL5wJnAv0TENPAt4Bc0n816AvAKmsv7VvS89N3AbwOnRcRpNDe2+CXN56meByxh3bsIDjKen0bEJ2nuLPifEfG/aG7T/hbgYuCgGS95E/Ad4LyIOBm4kOYfM/amuWHGyax7F0FJkiSNAQuWRlJmXhURC4HX0vxerLcDO9DcEXApzVmuEzPz8p7X3BYRv91u+3KaMnM/cA1N4dmo36s1w9toCt5RwEeAn9HcwXBfZhSszFzRjv0v2jEcSvPLg1cA/w6cNotxSJIkaYRFZr/P7UvS6JiamsrFi/v9yjGpexGxJDOnSuc67zXKnPeaRIPOez+DJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKkQC5YkSZIkFWLBkiRJkqRCLFiSJEmSVIgFS5IkSZIKsWBJkiRJUiEWLEmSJEkqxIIlSZIkSYVYsCRJkiSpEAuWJEmSJBViwZIkSZKkQixYkiRJklSIBUuSJEmSCrFgSZIkSVIhFixJkiRJKsSCJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUyLyuByBJG7L8zpt54/lfGmjblRdeytnHfYKDj38ruxx0QPGxmD94/r+/9f3F8yfJ9avu5oSTFm/Ua5ZetoSTP3Ushx/9QfbZf2HxMZlfd/4xR0wVH1Nxqy+FK560SS+d/sGdvOxtyzj94wtY9NRtCw/M/JHM3++i4u9TgmewJI2NcSon5mtjjfrBvfmjnV+7sSwP5g8tvzQLlqSxUHt5MF+zUfvBvfnd5teu9oN787vNnwsWLEnVq708mK/ZqP3g3vxu82tX+8G9+d3mzxULlqSq1V4ezNds1H5wb363+bWr/eDe/G7z55IFS1K1ai8P5ms2aj+4N7/b/NrVfnBvfrf5c82CJalKtZcH8zUbtR/cm99tfu1qP7g3v9v8YbBgSapO7eXBfM1G7Qf35nebX7vaD+7N7zZ/WCxYkqpSe3kwX7NR+8G9+d3m1672g3vzu80fJguWpGrUXh7M12zUfnBvfvf5Nav94N78bvOHzYIlqQq1lwfzNRvjcHBvfvf5tar94N78bvO7YMGSNPLuu/ueqsuD+ZqNcTm4N7/7/BrVfnBvfrf5XbFgSRp5t6+8odryYL5mY5wO7s0fv/y5VvvBvfnd5nfJgiVp5G2/y85VlgfzNRv3rr6r6oNv88c7f67VfnBvfrf5XbNgSRp5W2z9yOKZtZeT2vO1YatuuLbag2/zxzt/rtV+cG9+t/mjwIIlaeLUXk5qz9dgdtx51yoPvs0f7/y5dsddD1R9cG9+t/mjYl7XA5CkYaq9nNSer8FtudU2xTNrP7g3v9v8Ybhqxb18+wuPq/Lg3vxu80eJZ7AkTYzay0nt+epW7Qf35nebPyx7775llQf35nebP2osWJImQu3lpPZ8dav2g3vzu80fpu22KX9oWnt5ML8+FixJY6/2clJ7vrpV+8G9+d3m16728mB+nSxYksZa7eWk9nx1q/aDe/O7za9d7eXB/A3njyoLlqSxVXs5qT1f3ar94N78bvNrNw7lwfwN548qC5aksVR7ORmHfHWn9oN787vNr924lAfzN5w/qixYkuZMRLw3Ik4d9vuOQzkZh3x1o/aDe/O7za/dOJUH84efX4oFSxpjEbEsIu6JiDt7Hrt0Pa65NC7lZBzyNXy1H9yb321+7Wo/uDe/2/yS/EXD0vh7YWae3fUghmGcyon52li1H9yb321+7Wo/uDe/2/zSPIMlTaCIeFpEfC8ibo2IiyNiUc9z0xHx/vb5OyPi3yNix4j454i4PSJ+GBELerb/eESsaJ9bEhHP2JT3na3ay4P5mo3aD+7N7za/drUf3Jvfbf5ciMzsegyS5khELANe33sGKyJ2BX4MHAb8b+BZwFeAJ2TmjRExDewG/D5wE/B9mrPdRwPTwOeBX2XmH7d5hwLfBG4D3ga8E1iQmasj4r3APpl56Ibet8/YjwKOAtgDFi4v9qeiao3o31cRsSQzp0rnTkXk4tKhqo/zXpOo8nnvGSxp/H29PWN0a0R8HTgU+EZmfiMzH8jMbwOLgef1vOYLmXllZt5GU56uzMyzM/N+4HTgoDUbZuapmbkqM+/PzI8CWwKP7zOOQd73QZn52cycysypnQr8IUiSJA2DBUsafy/JzEe1j5cAewIv6yldtwJPBx7b85rre76/p8/yg+foI+LtEXFZRNzWZu0AzO8zjkHeV5IkqWre5EKaPCuAUzLzDbMNaj9v9Rc0l/tdkpkPRMQtQMzl+0qSJI0qz2BJk+dU4IUR8fsRsXlEbBURiyJit03I2g64H7gRmBcRxwHbD+F9JUmSRpIFS5owmbkCeDHwlzTFaAXNjSk25f8HZ9F8RusKYDmwus2b6/eVJEkaSd5FUNLI865SAqq/q9TGct4LcN5rMlU+7/2XY0mSJEkqxIIlSZIkSYVYsCRJkiSpEAuWJEmSJBViwZIkSZKkQixYkiRJklTIvK4HIEnS+ixaa+Ghpenp6eEORBqiRWstPLTkvNc4W7TWwkNLNc57z2BJkiRJUiGewZIkjazptRam+28kjZnptRam+28kjZnptRam+29UCc9gSZIkSVIhFixJkiRJKsSCJUmSJEmFWLAkSZIkqRALliRJkiQVYsGSJEmSpEIsWJIkSZJUiAVLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKmQeV0PQJI2aOFCWLy461FIw+W81yRy3msMeAZLkiRJkgqxYEmSJElSIRYsSZIkSSrEgiVJkiRJhViwJEmSJKkQC5YkSZIkFWLBkiRJkqRCIjO7HoMkPayIuAO4vOtxFDQfuKnrQRQ06fuzZ2buVHoQzvuRN+n747wfzKTPk1E3J/PeXzQsqQaXZ+ZU14MoJSIWuz+ja4T2x3k/wtyfOeO8H2Huz2C8RFCSJEmSCrFgSZIkSVIhFixJNfhs1wMozP0ZbaOyP6MyjlLcn9E2KvszKuMoxf0ZbXOyP97kQpIkSZIK8QyWJEmSJBViwZIkSZKkQixYkkZGRBwSEZdHxNKIOLbP81tGxFfb538QEQuGP8rBDbA/x0TEpRHx44j4PxGxZxfjHNSG9qdnu5dGREbESN/Kd5D9iYiXtz+jSyLiS12Mw3nfLee9834Qznvn/Voy04cPHz46fwCbA1cCewOPAC4GDpixzdHAp9vvXwl8tetxz3J/fhfYuv3+TbXvT7vddsB5wAXAVNfjnuXPZ1/gQuDR7fLOHY3DeT/C+9Nu57wvPw7n/QjvT7ud8349D89gSRoVTwGWZuZVmflL4CvAi2ds82LgpPb7rwHPiogY4hg3xgb3JzPPycy728ULgN2GPMaNMcjPB+B9wIeB1cMc3CYYZH/eAHwyM28ByMwbOhqH8747znvn/SCc96Nt6PPegiVpVOwKrOhZvqZd13ebzLwfuA3YcSij23iD7E+v1wHfnNMRzc4G9yciDgJ2z8wzhzmwTTTIz2c/YL+I+G5EXBARh3Q0Dud9d5z3zvtBOO9H29Dn/bzZvFiSCur3L5Mzf4/EINuMioHHGhGHAlPAM+d0RLPzsPsTEZsBHwOOHNaAZmmQn888mstGFtH8a/P5EXFgZt465HE477vjvHfeD8J5P9qGPu89gyVpVFwD7N6zvBuwcn3bRMQ8YAfg5qGMbuMNsj9ExMHAu4EXZea9QxrbptjQ/mwHHAhMR8Qy4GnAGSP8wedB59u/ZeZ9mXk1cDnNX8BdjMN53w3nvfN+EM575/3auv7gmQ8fPnxkJjT/enQVsBcPfQj1iTO2eTNrf+j5tK7HPcv9OYjmg7f7dj3eEvszY/tpRvtDz4P8fA4BTmq/n09zicmOHYzDeT/C+zNje+d9uXE470d4f2Zs77yf8fAMlqSRkM019m8BzgIuo/nL9JKIOD4iXtRudiKwY0QsBY4B1nvr2K4NuD8fAbYFTo+IiyLijI6Gu0ED7k81Btyfs4BVEXEpcA7wzsxc1cE4nPcdcd477wfhvB9tXcz7aJuaJEmSJGmWPIMlSZIkSYVYsCRJkiSpEAuWJEmSJBViwZIkSZKkQixYkiRJklSIBUuSJEmSCrFgSZIkSVIh/w/AYwZPYK2sNAAAAABJRU5ErkJggg==\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x55fb1828>"
+       "2"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "j"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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lkGd0w1I/NbTNL4GHjFPfMmAJcE4Suno2SLJzVT1oSiOXJElaTyaQkjRCki2B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\ns1r+B8rTY4DEL+8KAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f78e704d2d0>"
       ]
      },
      "metadata": {},
@@ -4002,26 +4142,29 @@
     }
    ],
    "source": [
+    "from math import ceil, floor\n",
     "from __future__ import division\n",
     "rows = facebook_survey_data.loc[:, 'demo_name'].nunique()\n",
     "cols = facebook_survey_data.loc[:, 'estimate_strategy'].nunique()\n",
     "demo_names = facebook_survey_data.loc[:, 'demo_name'].unique()\n",
     "est_types = facebook_survey_data.loc[:, 'estimate_strategy'].unique()\n",
-    "f, axs = plt.subplots(nrows=rows, ncols=cols, figsize=(cols*4, rows*3))\n",
+    "f, axs = plt.subplots(nrows=rows, ncols=cols, figsize=(cols*5, rows*3))\n",
     "est_colors = plt.cm.get_cmap('Set2')\n",
     "survey_color = 'r'\n",
     "bar_width = 0.25\n",
     "bar_offset = bar_width / 2.\n",
     "estimate_title_dict = {\n",
-    "    'US_hispanic_non_expats_spanish_speaking' : 'Spanish',\n",
-    "    'US_hispanic_non_expats_mexican_aligned' : 'MX_interest',\n",
-    "    'List_of_Mexican-American_communities' : 'MX_communities',\n",
+    "    'US_hispanic_non_expats_spanish_speaking' : 'Spanish-speaking',\n",
+    "    'US_hispanic_non_expats_mexican_aligned' : 'Mexico interest',\n",
+    "    'List_of_Mexican-American_communities' : 'Mexican communities',\n",
     "}\n",
+    "x_label = 'Population proportion'\n",
     "title_size = 18\n",
     "ytick_size = 12\n",
     "# shared xlim across rows\n",
     "xlim = (facebook_survey_data.loc[:, ['mau_audience', 'survey_estimate_mean']].min().min(),\n",
     "        facebook_survey_data.loc[:, ['mau_audience', 'survey_estimate_mean']].max().max()+0.05)\n",
+    "j_mid = int(floor(len(est_types) / 2))\n",
     "for i, d_name in enumerate(demo_names):\n",
     "    for j, e_type in enumerate(est_types):\n",
     "        data_i_j = facebook_survey_data[(facebook_survey_data.loc[:, 'demo_name']==d_name) &\n",
@@ -4051,18 +4194,95 @@
     "            ax.tick_params(axis='y', left=False, labelleft=False)\n",
     "        # set y name only for last col\n",
     "        if(j == 0):\n",
-    "#             ax.yaxis.set_label_position('right')\n",
-    "            ax.set_ylabel(d_name.capitalize(), fontsize=title_size, rotation=0, labelpad=50.)\n",
+    "#             ax.yaxis.set_label_position('left')\n",
+    "            ax.set_ylabel(ylabel=d_name.capitalize(), fontsize=title_size, rotation=0, labelpad=50.)\n",
+    "            ax.get_yaxis().set_label_coords(-2, 0.5)\n",
+    "        # set x name only for middle col, last row\n",
+    "        if(i == len(demo_names)-1 and j == j_mid):\n",
+    "            ax.set_xlabel(x_label, fontsize=title_size)\n",
     "        # share xlim across plots\n",
     "        ax.set_xlim(xlim)\n",
     "plt.tight_layout()\n",
     "plt.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Quantify estimate goodness of fit"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This looks good. But how do we quantify the alignment?\n",
+    "\n",
+    "Easy answer: KL divergence between ground-truth and estimate."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "testing estimate type US_hispanic_non_expats_spanish_speaking\n",
+      "actual KL=2.396E-01, estimated KL = 8.582E-01 +/- 2.836E-01\n",
+      "testing estimate type US_hispanic_non_expats_mexican_aligned\n",
+      "actual KL=2.180E-01, estimated KL = 9.356E-01 +/- 3.206E-01\n",
+      "testing estimate type List_of_Mexican-American_communities\n",
+      "actual KL=2.355E-01, estimated KL = 1.293E+00 +/- 3.673E-01\n"
+     ]
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "from scipy.stats import entropy\n",
+    "smooth = 1e-4\n",
+    "bootstraps = 100\n",
+    "np.random.seed(123)\n",
+    "for j, e_type in enumerate(est_types):\n",
+    "    data_j = facebook_survey_data[(facebook_survey_data.loc[:, 'estimate_strategy']==e_type)]\n",
+    "    # compute KL divergence between survey, estimate data\n",
+    "    data_j_survey = data_j.loc[:, 'survey_estimate_mean'].values\n",
+    "    data_j_estimate = data_j.loc[:, 'mau_audience'].values\n",
+    "    # smooth distributions with zero estimates\n",
+    "    data_j_survey = data_j_survey + smooth\n",
+    "    data_j_estimate = data_j_estimate + smooth\n",
+    "    data_j_survey = data_j_survey / data_j_survey.sum()\n",
+    "    data_j_estimate = data_j_estimate / data_j_estimate.sum()\n",
+    "    kl_j = entropy(data_j_survey, \n",
+    "                   data_j_estimate)\n",
+    "#         if(np.isinf(kl_i_j)):\n",
+    "#             print(data_i_j_survey)\n",
+    "#             print(data_i_j_estimate.values)\n",
+    "    # compare with random data\n",
+    "    N = len(data_j_survey)\n",
+    "    kl_b_ests = []\n",
+    "    for b in range(bootstraps):\n",
+    "        data_b_estimate = np.random.rand(N)\n",
+    "        data_b_estimate = data_b_estimate / data_b_estimate.sum()\n",
+    "        kl_b = entropy(data_b_estimate, data_j_estimate)\n",
+    "        kl_b_ests.append(kl_b)\n",
+    "    kl_b = np.mean(kl_b_ests)\n",
+    "    kl_b_std = np.std(kl_b_ests)\n",
+    "    print('testing estimate type %s'%(e_type))\n",
+    "    print('actual KL=%.3E, estimated KL = %.3E +/- %.3E'%(kl_j, kl_b, kl_b_std))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": []
   }