From 9e03e4d5284be2e2c659579560d1109b7bd28d55 Mon Sep 17 00:00:00 2001
From: aloctavodia <aloctavodia@gmail.com>
Date: Fri, 7 Aug 2020 12:59:29 -0300
Subject: [PATCH 1/5] update model_comp examples and ppc_w to work with idata

---
 docs/source/notebooks/model_averaging.ipynb  | 381 ++++++++++----
 docs/source/notebooks/model_comparison.ipynb | 525 ++++++++-----------
 pymc3/sampling.py                            | 109 ++--
 3 files changed, 527 insertions(+), 488 deletions(-)

diff --git a/docs/source/notebooks/model_averaging.ipynb b/docs/source/notebooks/model_averaging.ipynb
index 0f7334dfc9d..4f52a086025 100644
--- a/docs/source/notebooks/model_averaging.ipynb
+++ b/docs/source/notebooks/model_averaging.ipynb
@@ -6,12 +6,21 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
+    "import arviz as az\n",
     "import matplotlib.pyplot as plt\n",
-    "plt.style.use(['seaborn-darkgrid'])\n",
-    "import pymc3 as pm\n",
     "import numpy as np\n",
-    "import  pandas as pd"
+    "import pandas as pd\n",
+    "import pymc3 as pm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext watermark\n",
+    "az.style.use('arviz-darkgrid')"
    ]
   },
   {
@@ -67,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -140,14 +149,14 @@
        "4        0.92   0.012294 -1.885353"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "d = pd.read_csv('../data/milk.csv')\n",
-    "d.iloc[:,1:] = d.iloc[:,1:] - d.iloc[:,1:].mean()\n",
+    "d = pd.read_csv(\"../data/milk.csv\")\n",
+    "d.iloc[:, 1:] = d.iloc[:, 1:] - d.iloc[:, 1:].mean()\n",
     "d.head()"
    ]
   },
@@ -160,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -170,21 +179,56 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [sigma, beta, alpha]\n",
-      "Sampling 2 chains: 100%|██████████| 5000/5000 [00:04<00:00, 1028.80draws/s]\n"
+      "NUTS: [sigma, beta, alpha]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "        <style>\n",
+       "            /* Turns off some styling */\n",
+       "            progress {\n",
+       "                /* gets rid of default border in Firefox and Opera. */\n",
+       "                border: none;\n",
+       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "                background-size: auto;\n",
+       "            }\n",
+       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "                background: #F44336;\n",
+       "            }\n",
+       "        </style>\n",
+       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [6000/6000 00:04<00:00 Sampling 2 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 5 seconds.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as model_0:\n",
-    "    alpha = pm.Normal('alpha', mu=0, sigma=10)\n",
-    "    beta = pm.Normal('beta', mu=0, sigma=10)\n",
-    "    sigma = pm.HalfNormal('sigma', 10)\n",
-    "    \n",
-    "    mu = alpha + beta * d['neocortex']\n",
-    "    \n",
-    "    kcal = pm.Normal('kcal', mu=mu, sigma=sigma, observed=d['kcal.per.g'])\n",
-    "    trace_0 = pm.sample(2000)"
+    "    alpha = pm.Normal(\"alpha\", mu=0, sigma=10)\n",
+    "    beta = pm.Normal(\"beta\", mu=0, sigma=10)\n",
+    "    sigma = pm.HalfNormal(\"sigma\", 10)\n",
+    "\n",
+    "    mu = alpha + beta * d[\"neocortex\"]\n",
+    "\n",
+    "    kcal = pm.Normal(\"kcal\", mu=mu, sigma=sigma, observed=d[\"kcal.per.g\"])\n",
+    "    trace_0 = pm.sample(2000, return_inferencedata=True)"
    ]
   },
   {
@@ -196,7 +240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -206,22 +250,58 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [sigma, beta, alpha]\n",
-      "Sampling 2 chains: 100%|██████████| 5000/5000 [00:04<00:00, 1163.58draws/s]\n"
+      "NUTS: [sigma, beta, alpha]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "        <style>\n",
+       "            /* Turns off some styling */\n",
+       "            progress {\n",
+       "                /* gets rid of default border in Firefox and Opera. */\n",
+       "                border: none;\n",
+       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "                background-size: auto;\n",
+       "            }\n",
+       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "                background: #F44336;\n",
+       "            }\n",
+       "        </style>\n",
+       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [6000/6000 00:05<00:00 Sampling 2 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 6 seconds.\n",
+      "The acceptance probability does not match the target. It is 0.8832504124942819, but should be close to 0.8. Try to increase the number of tuning steps.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as model_1:\n",
-    "    alpha = pm.Normal('alpha', mu=0, sigma=10)\n",
-    "    beta = pm.Normal('beta', mu=0, sigma=1)\n",
-    "    sigma = pm.HalfNormal('sigma', 10)\n",
-    "    \n",
-    "    mu = alpha + beta * d['log_mass']\n",
-    "    \n",
-    "    kcal = pm.Normal('kcal', mu=mu, sigma=sigma, observed=d['kcal.per.g'])\n",
-    "    \n",
-    "    trace_1 = pm.sample(2000)"
+    "    alpha = pm.Normal(\"alpha\", mu=0, sigma=10)\n",
+    "    beta = pm.Normal(\"beta\", mu=0, sigma=1)\n",
+    "    sigma = pm.HalfNormal(\"sigma\", 10)\n",
+    "\n",
+    "    mu = alpha + beta * d[\"log_mass\"]\n",
+    "\n",
+    "    kcal = pm.Normal(\"kcal\", mu=mu, sigma=sigma, observed=d[\"kcal.per.g\"])\n",
+    "\n",
+    "    trace_1 = pm.sample(2000, return_inferencedata=True)"
    ]
   },
   {
@@ -233,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -243,22 +323,57 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [sigma, beta, alpha]\n",
-      "Sampling 2 chains: 100%|██████████| 5000/5000 [00:05<00:00, 962.26draws/s] \n"
+      "NUTS: [sigma, beta, alpha]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "        <style>\n",
+       "            /* Turns off some styling */\n",
+       "            progress {\n",
+       "                /* gets rid of default border in Firefox and Opera. */\n",
+       "                border: none;\n",
+       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "                background-size: auto;\n",
+       "            }\n",
+       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "                background: #F44336;\n",
+       "            }\n",
+       "        </style>\n",
+       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [6000/6000 00:03<00:00 Sampling 2 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 4 seconds.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as model_2:\n",
-    "    alpha = pm.Normal('alpha', mu=0, sigma=10)\n",
-    "    beta = pm.Normal('beta', mu=0, sigma=1, shape=2)\n",
-    "    sigma = pm.HalfNormal('sigma', 10)\n",
+    "    alpha = pm.Normal(\"alpha\", mu=0, sigma=10)\n",
+    "    beta = pm.Normal(\"beta\", mu=0, sigma=1, shape=2)\n",
+    "    sigma = pm.HalfNormal(\"sigma\", 10)\n",
     "\n",
-    "    mu = alpha + pm.math.dot(beta, d[['neocortex','log_mass']].T)\n",
+    "    mu = alpha + pm.math.dot(beta, d[[\"neocortex\", \"log_mass\"]].T)\n",
     "\n",
-    "    kcal = pm.Normal('kcal', mu=mu, sigma=sigma, observed=d['kcal.per.g'])\n",
+    "    kcal = pm.Normal(\"kcal\", mu=mu, sigma=sigma, observed=d[\"kcal.per.g\"])\n",
     "\n",
-    "    trace_2 = pm.sample(2000)"
+    "    trace_2 = pm.sample(2000, return_inferencedata=True)"
    ]
   },
   {
@@ -270,14 +385,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 720x360 with 1 Axes>"
+       "<Figure size 1000x500 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -286,7 +401,7 @@
    ],
    "source": [
     "traces = [trace_0, trace_1, trace_2]\n",
-    "pm.forestplot(traces, figsize=(10, 5));"
+    "az.plot_forest(traces, figsize=(10, 5));"
    ]
   },
   {
@@ -298,14 +413,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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VAURERERExDnt2rWLiRMnsmPHDvLy8qhZsyb9+/enR48eVkcTEREREREpU1QMEhERERGRIhcREcGQIUNwdXWlW7du+Pj4sHLlSkaNGkViYiIPPPCA1RFFRERERETKDBWDRERKsWOZicSmRpGQHs2xzERSso+RnHXs769HScs+AYaBm80NVxd33FzccXVxw9PVhyrlQgn2DSPYtyZVfWsQ6lcbT1dvq1+SiIg4gfz8fMaMGYNhGHzxxRfUrVsXgEGDBvHwww8zceJErr/+ekJDQy1OKiJWSMtJZueRP9l3fDv7jm0nIT2anPxscguycZgOfNz8CPKqRL0KLWhQsRWNKl2Dn0eQ1bFFRERESjUVg0RESokCRz77T+zgwMEdbIpexa6kTRzNTLjs9nYc2XDGzzbDRg3/etSt0JwGFVtyXWgPXXSLiMhliYiIIC4ujptvvvl0IQjA29ubBx98kJdffpmFCxfy+OOPW5hSRK6mxPRD/H5wPhtil7EzaSMO03HeY1OyjxGXFsW2w+uAwt9Tm1ftyA21+tEp7BbsNterFVtERETEaagYJCJSgmXmprMpfgXrY35lQ+xS0nNTzthvM1yoUq46wb41qOgdQoBnefw9yuPvWZ4Azwr4uQcCkOvIJa8gl7yCHHILcsjITSUx/RDxaQdJSIsmLi2K5KyjHEjexYHkXSyOnMoHhgvNq3bgpjp30676jbroFhEpIqZpkp1t3fnd3U2ysszz7vfwAMMwrugcmzdvBqBNmzZn7Tu17dQxIuK8cvKzWHNoMUsip7MlcfUZ+0L9alOvQnNqBzUh1L8Onq7euLt4AJCRm0pCejS7kiLYlfQnh1IiiYhfSUT8SiZHjGVAsyH0qH0XNsNmxcsSERERKZVUDBIRKWEcpoMtCatZEjmdNTGLySvIOb2vnJs/TUOupU5AMxpUbEXd8s2KbGq3Y5mJ7D22ld1HNxMR/zv7jm8/fdFd3qsKN9e7j1517yHAs0KRnE9EpCwyTZMnnjL5a4eVKU5ccG/jRvD5J1dWEIqNjQWgWrVqZ+3z9fXF39+fuLi4y25fREou0zTZd3w7SyKns/zAHDJyUwEwMGhWpT3ta9xEm5CuVC534Wkim1a5jhvr3A1AfNpBlu7/kZ/3fMPhjBjeWzOMJZEzeKb9e4T61y721yQiIiLiDFQMEhEpIQocBayK/plp2z7iYPLu09tDfMO5rnoPrq3WgwYVW1E+qDzJyclFfv7y3lUo712FdtVv5KFWLxKfdpBf981i4d7vOXYykW82v82M7Z/Qr/ET3Nnoca0vJCIi55WRkQEUTgt3Lt7e3iQlJV3NSCJSzFKyjrHswGx+iZzBgeRdp7dX8gmhR+276FG7P5V8zi4QX4xg3zDubzGc/k2e5Ofd3/LdlnfZmbSRR+d25b7mhds1SkhERETkwlQMEhGxmGmarDgwl++2vEtcWhQAXq4+dK91Jz1q30XtoCZXPF3P5Qj2DePBls8zoNkQVkcv4Kcd44k8vp3vtrzLwj3f81ib1+gcdpsl2URESivDMPj8EyydJs7fP4CUlPPfVFAU08SJSNlQ4Mjnz/gVLImcwR+xv5LvyAPA1eZGu+o3cmOdu2letUORFWo87F7c2fhxOobdwkfrnmNj3HImRbzJvuPbeK7jx3jYvYrkPCIiIiLOSMUgERELRSfv4eP1I9h+eD1QOA1c74YPc3uDQZRz97c4XSE3F3e6hvfh+pq9WRX9M5M2vUVCejRvrnyMJftmMKzdu1TyCbE6pohIqWEYBp6e1p3fy8sgJ6d4iz0+Pj4AZGZmnnN/Zmbm6WNEpPSJTd3PksgZLN3/A8ezjpzeXieoCT1q30WX8DvwdQ8otvNX8gnhze5TWRw5jY/Xv8Cq6AUczohlzA3T8PMIKrbzioiIiJRmKgaJiFggJz+Lb7e8w087JlBg5uPu4sl/mj5F74aP4OVaMj8cMwyDTmG3cm1oD2b99RlTt31ERPxKHp93AyM6fcY1IV2sjigiIiXEqbWCYmNjqVev3hn70tLSSElJoXHjxlZEE5HLkJWXybbD69gUv5JNcStPj2YH8PMIpGt4X3rWvouagQ2uWibDMLip7gCq+dVi1LIHiTy2jWGL7uDtnrMo71X5quUQERERKS1UDBIRucr2H9/BmN+f4FBKJADXhvbgyTZv/OsiuiWFm4s79zQbRuew23lr5WNEHt/OyF/v5v4WwxnQdKimFhIREZo3b863337Lhg0b6N69+xn7NmzYAECLFi2siCYi/8JhOjiSEUtMyj6iTuxiS8IqdhzZSJ4j9/QxNsOFa0K60LP2f2hbrTuuLm6W5W1cuQ0f9prHc0v6cSglkmcW3cGHveYT4FnBskwiIiIiJZGKQSIiV4lpmszf8w1fbhhFniOXAM8KDGv3HteG3mB1tMsS4leTD3vN54uNo/h5z7d8s3kch5IjebbDB7jbLZz/SERELNeqVSuCg4P59ddf6devH3Xq1AEKp4ebPHkyLi4u9OrVy+KUImXXybwMEtKiOZwew+GMGI5kxJ1+xKVGkVOQddZzKvmE0Cq4C62CO9O8agd83HwtSH5uof61+aDXXIYv7kt82kFG/Ho37904G2+3clZHExERESkxVAwSEbkKcgty+HjdCyzZNx0oHA30TLv38Pcsb3GyK+Nm9+Dp696mTvmmfLj2OVYcnMvhjFjevGFKsc4TLyIiJZvdbmfkyJE8/fTTPPbYY3Tv3h1vb29WrlxJQkICjz76KKGhpWNErEhpl51/kt1Jm/nryB/sP76DAyd2cTgj5oLPcbW5EeIXTqh/bRpVbE2rkM6E+IaX6BHgVcpVZ2yPmQxZeAv7j//Fq8sGMrbHdFxs+thDREREBFQMEhEpduk5Kby89H52HNmAzbDxUKuXuLPR4yX6YvpS3VjnbqqUq85rywax+2gEwxbeztieMzVfu4hIGdayZUvGjx/PxIkTWbZsGXl5edSsWZNHHnmEnj17Wh1PxKml56Tw+8GfWX7gJ3Ye2USBmX/WMb7ugVQpF0rlcqFU9gmlok8wlXxCCPENp0q50FJZRAnxq8lbN0zjmUW92ZK4mq82jebR1q9aHUtERESkRCh9v92JiJQix04e5oVf7iI6eQ/ebr681Hk814R0sTpWsWhWpV3hfO2/9Cc6ZS9DFtzKezfNppJPiNXRRETEIg0bNuTDDz+0OoZImRF9Yi+f/j6KNdELz1jjp4J3VRpXaku9Cs2pGdiAsID6+HkEWpi0+NQp35TnOn7Ma8sH8cOOL6lTvhldat5udSwRERERy6kYJCJSTBLSDvHckr4czoglyLMSY3rMoGZgfatjFavqAXX5qNd8nv+lP/FpB3luyZ18cNM8Ar0qWh1NRERExGml5STz9aYxLI6cSoFZAEBYQH261epLxxo3U9kn1KlGpf+bDjV6cVeTp5ix/RPeWzOUGgF1CQtw7t/DRURERP6NzeoAIiLOKDZ1P8MW3c7hjFiCfcP46Oafnb4QdErlcqG8e+NPVPapVlgQ+qUfqdknrI4lIiIi4pRWHfyZgT91YMHe7ygwC7g2tAef3/oLE+9YQf/GT1KlXPUyVQg65cEWL9Ciakey87N4bdlDZOVlWh1JRERExFIqBomIFLGYlH0MW3QHx04mUsO/Lh/cNI/K5crWItkVvKsyrucPBHlWIjp5D68svZ+c/CyrY4mIiIg4DYfpYOKfo3l9xcOkZB8j1L82X/VfxhvdvqVO+aZWx7Oci82FFzt/QQXvqsSlRfHVptFWRxIRERGxlIpBIiJF6NQaQclZRwkPbMR7N80us1OkVfWtwds9Z+Lj5sfOpD8Zu2owBY4Cq2OJiIiIlHq5+dm8tmwQM//6FIB+jZ/gy9uW0jykvcXJShY/jyCebf8BAPN2T2ZT/EprA4mIiIhYSMUgEZEikpGTyohf/kNSZjwhvuGM6zkTP48gq2NZqkZAPV7rOhlXmxuroxcy8c/XrY4kIiIiUqpl5WXy0tL7WBuzGFcXd0Z0+oxHrnkFNxd3q6OVSC2DO3Fb/YEAvLt6KOk5KRYnEhEREbGGikEiIkWgwFHAGysf5WDybgI9KzKmx7QyXwg6pWmV63iu48cA/LhzPMuj5licSERERKR0ys3P5sXf7mFzwio87F6MuWEqXcP7WB2rxHv4mpcI8Q3n2MlEPvvjJavjiIiIiFhCxSARkSLwdcRbRMSvxN3Fkze7T6FKuepWRypRutS8nbubPA3A+2uHceDEbosTiYiIiJQuBY4C3vr9SbYfXo+XaznG9ZxFsyqaFu5ieNi9eL7jJ9gMG0ujfiQi/nerI4mIiIhcdSoGiYhcoRUH5jLzr88AeLbDB9Qu38TiRCXT/S2eo2VwZ7Lzs3h12YNk5KRaHUlERESk1Bi/8VXWHFqIq82N17t9Q4OKrayOVKrUr9ji9HRxH69/gdz8bIsTiYiIiFxdKgaJiFyBqOM7eXf1UAD6Nx5Ml5q3W5yo5HKxuTCy0+dU8gkhIT2asasG4zAdVscSERERKfFWHJjL7F0TMTB4odOnNKvSzupIpdIDLZ4nyLMS8WkHmfHXp1bHEREREbmqVAwSEblMGTmpjFr2ADkFWbQK7sLAliOsjlTi+XkE8ur1X+Pm4sEfsb/xw44vrI4kIiIiUqLFpR7gg7XPAnB30yF0CrvV4kSll7dbOR5v8zoA07d9TFzqAYsTiYiIiFw9KgaJiFwG0zR5f+2zHM6IpUq56rzY+QtcbC5WxyoVapdvwpNtRwPw9aYx7E7abHEiERERkZIp35HHWysf42ReBk0qt+W+5s9YHanU6xR2K62Cu5DnyOWT9SMwTdPqSCIiIiJXhYpBIiKXYcm+6ayK/hkXw86Lnb+gnLu/1ZFKlZvqDKBT2K0UmPm8ufJRrR8kIiIicg6z/vqCyOPbKefmz8hOX+Bis1sdqdQzDIP/XjsGV5sbEQm/sz72V6sjiYiIiFwVKgaJiFyimJR9fPbHiwAMbPkC9Sq0sDhR6WMYBkPbvUtln1AOZ8Ty/tpndVemiIiIyD8cSonk+y3vAvBE2zco713F4kTOo6pvDfo0ehSALzeMIrcgx+JEIiIiIsVPxSARkUuQm5/NmysfIzs/ixZVO3Jn4yesjlRq+bj58lKXL3Ex7KyK/pmFe6dYHUlERESkRDBNk/fXPEueI5fWIV3pFt7X6khO5+6mTxPoWZGE9Gjm7PrK6jgiIiIixU7FIBGRS/DNlnFEndiJv0cQz3f8BJuhf0avRL0KLRjYagQAX258RYv4iog4kcWLFzN27FgeeOABOnToQNu2bVmwYIHVsURKheUH5rAzaSMedi+GXDcOwzCsjuR0vFx9GNRqJABTt35ActZRixOJiIiIFC99iikicpF2JUXw444vARjW/n2CvCpZnMg53NnocZpVaUd2fhZjVw2mwJFvdSQRESkC48ePZ+7cuRw+fJigoCCr44iUGll5mUz88w2gcPRKRZ9gixM5r+61+lGnfFNO5mXwdcQYq+OIiIiIFCsVg0RELkJOfhbvrH4ah+mgW3hfrgvtYXUkp2EzbAzv8BHebr7sObqZads+sjqSiIgUgZEjRzJnzhyWLFlC7969rY4jUmrM2P4px04mUtknlL4NH7U6jlOzGTaebDMagF/2zSA6eY/FiURERESKj4pBIiIX4ZvN44hN3U+QZyWebDva6jhOp5JPCP+9tvBuzO+3vs+eo1ssTiQiIleqdevWVKmiBe9FLkVi+iFm7fgcgMdav4qb3cPiRM6vYaVraF+9Fw7TwaRNb1kdR0RERKTYqBgkIvIvdiVtOj093NB271DO3d/iRM7p+pq96Rx2Gw6zgLG/DyYrL9PqSCIixcM0Ie+kZQ8zN/PCx5im1e+QSJk18c/R5BXk0LxKB9pVv9HqOGXGoFYjsBkurI/9lb8O/2F1HBEREZFiYbc6gIhISZbvyOPdNUMxMele607aht5gdSSnZRgG/71uLDuObCQuLYqJf77Bf68ba3UsEZGiZZp4zhyAS4J1IyDzAZ8L7C+o2oKs/lNAC9aLXFWRx7axKvpnDAweb/M6hv4OXjXV/GpxU50BLNj7HRP+fIOPb16g919EREScjkYGiYhcwNxdk4hJ2Ye/R2zv3mcAACAASURBVBBPtHnD6jhOz9c9gOEdCtcMmr/nGzbGLrM4kYhIcdAHjCJytskRhTfBdA3vQ83A+hanKXvubf4MHnZPdh+NYO2hxVbHERERESlyGhkkInIex08e4bst7wIwqNWLmh7uKmkZ3JHeDR5m9q6JvLtmKBPvWIGfR5DVsUREioZhFI66yc+yLIK/vz8pKSnnP8DuqVFBIlfZX4f/4M/4FbgYdu5r/qzVccqkIK9K9Gn4GFO3fcCkiLe4NvQGXGz6yERERESch0YGiYicx1ebRnMyL4N65ZvTo/ZdVscpUwa1Gkl1/zqcyEriw3XPYWr9ChFxJoYBrl6WPQw37wsfo0KQyFX3zeZxAPSs8x+q+tawNkwZ1q/xE/h5BBKbup/FkdOsjiMiIiJSpFQMEhE5hx1HNvLb/h8wMBh87VvYDP1zeTW52z15oeOnuBh2VkcvZFnUT1ZHEhERESkWu5M2s+3wOlwMO3c3fdrqOGWat1s57mk6DIDvt7xHdv5JixOJiIiIFB19uiki8j8KHAV8sn4kUHh3Zr0KzS1OVDbVLt+Ee5s/A8Anf4wkKSPe4kQiIiIiRW/mX58C0K1WHyr5hFicRnrVu5fKPtU4nnWEubsmWR1HREREpMioGCQi8j8WRU4h6sQOfNz8GNRypNVxyrT/NHmKehVakJmbxjurh+AwHVZHEhERESkyh1IiWXNoEQD9Gj9pcRoBcHNx5/4WzwEwY/unpOdcYI01ERERkVJEqyGKiPxDavYJvo4YC8D9LYbj71ne4kRlm4vNzgsdP+HRud3Ykriaebu/5o4GD1kdS0RELsK8efPYtm0bAFFRUQDMnz+fzZs3A9CpUyc6depkWT6RkmDWX58DcF1oT6r717E4jZxyfc3ezPzrM6KT9zBj+6c8fM1LVkcSERERuWIaGSQi8g9Ttr5Pek4yYQH1ubXeA1bHESDEL5xHWr8CwMQ/RxOTss/iRCIicjG2bdvGokWLWLRoEXv37gVg+/btp7dFRkZanFDEWkczE06vi3hXk6csTiP/5GJz4aG/ZwiYs+srjmUmWpxIRERE5MppZJCIyN/iUg8wf/c3ADze5nVcbPonsqS4td4DrIv5hYj4lYxdNZiPb16A3eZqdSwREbmAV155hVdeecXqGCIl1uydE8h35NGk8rU0qNjS6jjyP9pU607Diq3ZmbSRKVs/YEi7cVZHEhEREbkiGhkkIvK3rza9SYGZT+uQrrSo2sHqOPIPhmEwvP0H+Lj5EXlsG9O2fWR1JBEREZHLlpWXycK9UwHo1/gJi9PIuRiGwUOtXgRgUeRU4lKjLE4kIiIicmVUDBIRAf46vIE1hxZiM2w8cs3LVseRcyjvXYX/Xlu4ntOUrR+wK2mTxYlERERELs+v+2dxMi+dYN+atA7panUcOY/GldvQplo3HGYBkze/bXUcERERkSuiYpCIlHmmaTJ+46sA3FhnADUC6lkbSM7r+vA7uL5mbxxmAW+tfILM3HSrI4mIiIhcEtM0mbfrawBurz8Qm6HL8pJsUMuRGBj8fnA+kce2WR1HRERE5LLpt04RKfNWHpzHnmNb8LB7cX/z4VbHkX/x3+vGUtmnGoczYvhk/Qir44iIiIhcks0Jq4hJ3Yen3Zsbave3Oo78i5qBDega3geASRFjLE4jIiIicvlUDBKRMi3fkcfkiMKpx+5qMphAr4oWJ5J/4+PmywudPsNm2Fga9SPLomZbHUlERETkos3Z9RUAPerchbdbOYvTyMW4r/lw7DZXIuJXsiVhjdVxRERERC6LikEiUqYtiZxOQno0/h7l6dPwUavjyEVqVKk1A5oOBeCjdc+TkHbI4kQiIiIi/y4hLZoNsUuBwinipHSo6ludXnXvBeCrTaMxTdPiRCIiIiKXTsUgESmzcvKz+H7r+wAMaDYET1dvixPJpbin2VAaVmzNybx03ljxMLn52VZHEhEREbmg+bsnY2JyTXAXQvzCrY4jl+CeZkPxsHux99hW1hxaZHUcERERkUumYpCIlFnzdk/m+MnDVPIJOX2nn5QeLjY7L3b+Aj+PQPYd386nf7xkdSQRERGR88otyOHX/T8AcFv9By1OI5cqwLMCfRsVziTwdcQYChz5FicSERERuTQqBolImZSZm8707Z8AcF/zZ3Fzcbc4kVyOij7BjOz0BQYGiyKn8Mu+GVZHEhERETmntYcWk5ZzgvJeVbgm5Hqr48hl6NvocXzdA4lN3c+v+2dZHUdERETkkqgYJCJl0o87viQ9J5lQv9p0C+9rdRy5Ai2DO3F/i+EAfLTuBaKO77Q4kYiIiMjZFkdOA6BnnbtwsdktTiOXw8fNl7ub/heA77a8S05+lsWJRERERC6eikEiUuakZh/nxx1fAvBAi+d0Me4E7m46hNYh15NbkM0ry+4nOeuo1ZFERERETktMP8TmhFUYGPSs/R+r48gVuLXeA1TwDuZoZgLzd39jdRwRERGRi6ZikIiUOT/uGE9Wfia1ghrTvkYvq+NIEbAZNl7o9BnBvmEcyYjjlaUP6E5NERERKTGWRBZOZduiakcqlwu1OI1cCTe7B/c3fxaAads/JiM3zeJEIiIiIhdHt8OLSJmSlpPM3F2TALi32TPYDNXEnYWvewBvdp/CUz/3YvfRCN5ZPYSRnb9QH4uIiIilChz5p9c1vLHO3RankaLQvdadzNrxOTEp+5j11+cMbPmC1ZGkODgKMDKO4EjeiT0xCiMzCSPzKEZGEkZ2CkZeNuRnYxTkYrp6Yrr5gJsPDp9KmP7VyHALJS6vNtGpISQmQlq6SW5uYdM+3uDra1CtGoTVgEoVwTAMK1+tiIiUASoGiUiZ8tOOCWTlZxIe2JDrQntYHUeKWIhfOK92/Zrnf+nPyoPzqOobpotzERELJCUlsXz5ctatW8ehQ4c4fvw4vr6+NGnShHvuuYdGjRpZHVHkqvkzfgXHTibi6x7IddV7Wh1HioCLzc7AFiN4dflAZu8cz+31BxLoVdHqWHK5slOxnTiA7fj+wq8nDmJLicFIi8MoyKMA8LiMZt2BICAgsxpZSe3ZeaQD649eS77p9vcR5uljK5SHVi1Nrr3WoN214O6uwpCIiBQ9FYNEpMxIz0lhzq6vALin2TDdeeWkmla5jqHt3uGd1UOYtu1D/D2C6N3wYatjiYiUKT/88APff/89ISEhtG7dmoCAAGJjY1m1ahWrVq3i9ddfp1u3blbHFLkqFu+dBhSOJnFzcbc4jRSVdtVvpF755uw5toWp2z7gqWvHWB1JLsQ0MU4ew3b8ALYT+zGOH8B2IqrwkXns/E+zuWIEhJLvXQHTuyKmdwVMnwqYnoHkGR5Ex3uyZ7+dQ/uzOJGYgZdLBlU8E6nmHUOozyFqldtPqHcsoWHTuStsOlmGH3vsN7Eu/z/sSwnn0CGIiYWjx2DxL7D4FxMfH+h2vclttxjUrq1rVhERKToqBolImTF750RO5qUTFlCfdtVvtDqOFKMete8iKSOeb7e8w+cbXsbNxYOb691rdSwRkTKjQYMGfPnllzRr1uyM7Vu3bmXw4MGMGzeOjh074ubmdp4WRJzDiZNJrI/9FYAb6/zH4jRSlAzD4KFrXuTZxX1ZsOd7+jR8lKq+NayOVbaZDoyMpMJRPSmHsKXE/v19DLbUGIzczPM+1eFTGUdQTRyB4TgCa2IGVMfhF4pZrjIBQeXJSE7G4TDZHwWbImBThMm27ZCTc2Y7IcHQsjZUbGlQrjlke2TiErsBe/RqXKKW45l5lOZ502nGDPJb30ju04PJ9q7B9r/gz00mS5dDUhLMnQ9z55t07GDy2MMGoaEqComIyJVTMUhEyoSMnFRm75oIwL3NhmkdmTLgnmbDyM4/ycy/PuOjdc/h5uLODbX7WR1LRKRM6NKlyzm3N2vWjJYtW7JhwwaioqKoX7/+VU4mcnX9un8mDrOABhVbUSOgntVxpIg1q9KeVsFd2BS/gm82j2Nk58+tjuTcHAUY2SmQlYwt/cjfBZ8YbKmxf38fh1GQc96nm4YN0y+ksOATFH668OMIrAnuPmefzmESFwe/rchm1WoHmzdDatqZxwQEQMsW0KqlQasWULny/xZtfCio1ZWCWl3h+pdxiVmP67YZ2KOW4bp3EfZ9v+Ha6kGuafMY17Ty5LFHTDZvgfkLTFb+DqtWw9q1Jn37mAx60MDLS0UhERG5fCoGiUiZMGfXV2TmplHDvy7ta/SyOo5cBYZh8FCrl8jOz2Le7q95d80QwOSG2v2tjiYiUqbZ7YWXIC4uLhYnESlepmny6/5ZAPSsrVFBzmpQyxFsil/B8gOz6df4CWoFaU20czIdkJeFkZf1j68nMfL/5+fcTIyTJzCykv/ncQKy0zD+sc7OOU9js2P6VsXhXx2HfyimfzUc/qE4/Ktj+oaA/dwjUk3T5EgS7NkDu/eY7NkLe/dCRibA/48o8vSAZs3+Lv60hJphXPz04zYXCmq0p6BGe2xH9+C25kPsB3/HbeME7HsWknP9y1CzE61aFrZ/MNpk/ESTNWth5g+wcpXJc89Am9YqCImIyOVRMUhEnF5mbjo/7ZwAwIBmQzUqqAwxDIMn244mtyCHxZFTGbf6aY5kxGnNKBGxlGmaZOeftOz8HnluZOWdf6ocD7tXsf0befjwYf7880+CgoIIDw8vlnOIlBT7T+wgJmUfri7udAy7xeo4Ukxql29C57DbWHlwHl9HjOGtG6ZaHenK5WRgS0/ASEvEyEzCyM+B/BwoyMUoyIWCXMj/x/cFuaePMfKzIT8b8gsLPKeLP/nZRRbPdPfD4VMe0y8Uh38oOd6hZHmEkuEeSoatClm5drKzC6dwy8uAnBOQlwd5uZCba5KRCWnpJulpkJ4Ox45DbCxknSOimxs0aminWdMCWraABvXB1fXK/490VKhH9h1f4rJ/Ge4r3sSWFo/n3MfIbXE/uR2eARdXwmoYjH3T4I8NJu99YJJ4GJ55zqRfX5PHHjFwc9P1jIiIXBoVg0TE6c3dNYmM3FRC/WvTsYYuxMsam2FjaLt38HUPYOZfn/Ltlnc4nBHL0HbvYLe5Wh1PRMoY0zQZsvBWdib9aXWU82pYsTUf9ppX5AWh/Px8XnvtNXJzcxk8eLBGBonTW7b/RwCurXYDPm6+FqeR4vRAi+dZHb2QjXHL2Ja4jqZVrrM60sXLTsUl5g9cjuzAlrQH27E92DKPFespTbsnpqsnuJ766oVp9yj82c0H0ysQ09Mf0zMA0zMQPAPIc/MnMi6AfQl+xCfaSYiGhARITDx76jb+ZfTQ+bjYICwM6teH+vUM6tct/LlCBT+Sk5Ov9GWfU0GtrpwMbYvbuk9w2/wtbpu/xeXIDrJu+Ri8AgFo28bgu8nwxXiT2XNh1o+wZavJqy9D9eoqCImIyMVTMUhEnNrJvAx+3DkegHuaDsPFpg+eyiKbYePha16icrlqfLJ+BL/sm8GRjFhe7PwlAZ4VrI4nImVO2fvgxuFwMHr0aLZs2cJtt93GjTfeaHUkkWJV4Chg+YE5AHSr1dfiNFLcQvxqcmPdu1mw5zs+/eNFvrztN1xsJffjFiP9MPZd87AfXIUtcSuG6TjrGNPDD0e5qpjlKhUWbFzcwMUN8++v2P/x/antrh6FRR27O9i9/i70eGC6ev1/4cfuARc5U0N6usmqNfDHBpM/N0FGxgVekwEe7uDuUTiVm7sHuLsVjuw59XB1LXz4eIOvL5QrZ+DrCwH+EBIMVasWzaifS+bmTW7nFygIbonHLyNwiY/Aa+Y9ZPWdhFmuCgCengbDhhi0bm0yZqzJvv0w6FGTEc9D1y5l7/cKERG5PCX3txMRkSIwb9dk0nOSqeZXi05ht1odRyx2S737qeBdldErHmVr4loem9uNl7qMp3HltlZHE5EywjAMPuw1z9Jp4gICAi54h3NRTxNnmiZjxoxhyZIl9OzZk+eff77I2hYpqbYmruFEVhLl3AO4JriL1XHkKniwxfP8fvBnDibvZs6uSfRt9KjVkc5iS9yO26avcdm/FMMsOL29ICgcR3ArCirWx1G+Lo7ytcHN25KMpmmyZSssXGSy4nfIzf3/fb6+0LABVK0CVasaf3+FypXAy+sS1u4poQpqd+dkUDiePz2ELfkgnjMGkNV3MmZA9dPHtL/O4Nuv4Y23TCI2w6jXTPbsKZw2zsWldL9+EREpfioGiYjTysrL5IcdXwAwoOkQjQoSANpW685ntyzmtRUPEZOyj2cW96ZPw0e5v8VwPOxeVscTkTLAMAw8Xa35kA3A09WbbNfcfz+wCDgcDt566y0WLFjADTfcwMsvv4zNprX7xPktjSqcIq5z2K24upx7wXpxLn4eQTzc6iXeX/sM324eR6ewW6jgXdXqWADYjuzEbd3H2A+uOr0tP6Q1+fVuoqBGe0zfYAvTFTJNkw0bYfzEwlEvp4TVgM6doE1rg/r1cPqChxlYk6z+U/D8aRC25Gg8fxpI1l3TMX0qnj6mfHmD99+BCV+ZTJ0O02dCTGzhtHGens79/oiIyJXRlZiIOK35uyeTlnOCYN+adKl5u9VxpASpHlCXz25Zwg21+uEwHfyw4wsemXM962N+xTQvb45xERE50z8LQd26dWPUqFFaJ0jKhKy8TNZELwKgW7imiCtLetb5Dw0qtiIrP5MvNoyyOg7kpOO2fDSeU+/EfnAVpuFCXoPbOXnvPLL7fUt+k/4lohAUF2cy5BmTZ58vLAR5esItN8P4zw2+m2ww6EEbjRqWnZEvpm9Vsvp9j8O/Ora0BDx+egiyU884xsXF4PFHbbw2ysDNDdaug6eGmJw4oWsZERE5PxWDRMQpnTkq6OkSPWe3WMPT1ZvnOn7M6O7fU8G7Kgnp0by89D6eXdyHyGPbrI4nIlKqORwO3nzzTRYsWEDXrl159dVXVQiSMmN9zK9k5WdS2SeUBhVbWR1HriKbYePpa9/GZriwKvpnNsYtty5LfARe396C29apGJjk1e3FyQcWktNzDI4KdSzL9U8FBSbTZ5rcP6hwyjNXV7irH/w4w+D5Z200bGCU+qnfLpfpXZ6sPpNweFfA5fg+POc9CXnZZx3XtYvBxx8Y+PnCnr3w6BMmhw6pICQiIuemYpCIOKUFe74jJfs4VcvVoGt4H6vjSAnWtlp3vrrjd/7T5L+4uXiw7fA6npjfg1eXDWRr4hqNFBIRuQyTJk1i4cKFeHl5Ua1aNSZPnszEiRPPeERGRlodU6RYnJoirlutPmX2g+yyLDyoIb0bPATAh2uHczIv4+oGME1cN03Gc9b92DKO4PAPJavPJHJ6vXvG2jNWi40zeXywyWdfmOTkQMsWMOVbg8FP2PDz098bANMvmOzeEzHdy+ESH4HHomfBdJx1XKOGBl9+bhASDImH4bHBJtu26xpGRETOplvlRcTpZOefZOZfnwFwt0YFyUXwdivHoFYjubnefUyOGMvSqB9Zc2gRaw4torp/HW6udx+dw24jwLOC1VFFREqFxMREAE6ePMk333xzzmOqVKlCnTol4+50kaKSnHWUTfErAXRDUhl2f4vnWHNoEYczYpm06S2euvatq3PinAw8lryAPWoZAHl1e5HT/TVws26dunNZtsLk7XdMTp4Eb28Y/LjBzb1Q8fQcHBXqknXb53j+NAh71DJcN04gr81jZx1XLcTgi8/ghZEmO3fB0GdMXn8V2rfTeyoiIv/PMC/ylufk5OTizmKZgIAAp359pZH6pGQpbf3x447xfLlxFJV9Qvmm71rsNlerIxWp0tYfpVF08h7m7Z7Mb/t/IDv/JFA47UfjSm3pGHYLLap2INi3JjajcICt+qRkUX+UPOqTksUZ+yMgIKDYz+Fs79mlcMY/M8Vlzq6v+OyPl6hbvhmf3brkqp9ffVVyRMSv4vlf+gHwwU3zaFy5zRn7i7yvspLxnP0ILkd2YLq4ktN5BPlN7oISVGAxTZMvJ5hMnV74c9MmMOolg4oVS07GcykJf6/sO2bj8euLmBhk95lIQfV25zwuJ8dk1Osma9aCiw1eeN7gxh4l+/0tSiWhr+TiqK9KF/VX6XAx10S6XV5EnEpOfhaz/jEqyNkKQXJ11Aiox9PXvc1DrV7it/2zWLr/R/Yc28K2w+vYdngdAD5uftSr0ILaQY2pW7UJgfbKBPvWxM8j0OL0IiIiYpVl+38CoFutvhYnEau1DO7IjXXuZnHkNN5bM4wJty/Dze5RLOcyMpLw+GkQLsf3Y3oGkHX7lziqNCmWc12uggKTd94zWbCo8Od77oaHBhrY7WWnUHEl8hv1Ji9hC647fsRj0XBO3jsX06fiWce5uxuMfg3efsdk8S/w5hiTtDTof6feZxERUTFIRJzMosipnMhKopJPCN1r3Wl1HCnlvN3KcXuDQdzeYBBHMmJZdXAB62J+Ye+xrWTkprIpfgWb4lfA9v9/jq97ICF+NQnxrUmIXy2q+YUT6l+bYN8wFSdFREScWFxqFHuObcFmuNA57Dar40gJ8Og1o9gYu4y4tCi+iniLJ9q8XuTnMFLj8fxxILbUGBzeFcnq+zVmUHiRn+dK5OaavP6mycrfwWaD5541uPkmFScuVc71L2FL2olL0m7cfxlBdu+JYJy9FLjdbjDiefD1M5k5Cz75zCQl1eSRQYam4hMRKeNUDBIRp5FbkMOsvz4H4K4mT+Hq4mZxInEmlXyqcWfjx7mz8ePkO/I4cGIXu49uJjp5D0dOxnDw+F6OZiaQlnOCXUkn2JW06Yznuxh2qvrWINSvNqH+hY8GFVsR7Btm0SsSERGRorQsqnBUUKvgzlpnUADwcfdjaPt3eem3e5m9cwItq3akTbVuRda+kXkMzx8fwJYah8MvhKy+kzH9Qoqs/aKQm2sy4iWTDRvB1bVwWrjOnVSQuCx2d7JvehevKX2wH1qH65ap5LW495yH2mwGgx8Hfz8YP9Hk+ymQlmoybAi4uOj9FxEpq1QMEhGn8eu+WRzNTCDIqzI9at9ldRxxYnabK3XKN6VO+abA/8+fm5WXSUJaNLGp+4lLO0BcahQxqfuITdlPVn4msan7iU3dz9qYxafbqlKuOi2DO3FN8PW0DO6Ih93LqpclIiIil8k0TZb+XQzqFq4p4uT/ta3WnTsaPMScXV/xzuqnGX/7coK8Kl15w7mZeMx59O9CUDWy+n2PWa4I2i1CBQWFI4I2bAQPDxgz2uCaVipEXAkzsCa5HZ/Ffflo3Fa/S0FoWxzla5/zWMMwuHcA+PrCu++bzPsZ0tJNXh4Jbm7qBxGRskjFIBFxCvmOPGZs/xiA/o2fxM3F3eJEUhZ5unoTHtSQ8KCGZ2w3TZOjmQnEpO4jJqXwcTB5N3uObiEx/RAL9nzHgj3f4WH35JqQ67mhVn9ah1yPi03/TYuIiJQGu49GkJh+CE+7N9dV72F1HClhHm71EtsPryfqxE7GrfovY3pMv7IGHfl4LBiKS9KuwjWCek8ocYUg0zT5P/buOzyKqovj+PfOlvRA6L1KV0CkFwGxIIhgQ0UQUVCKFBEsoChI7xYQBUFRxIICFkQE6UrvSO+9BAIhZdvc949BlBdRyiazCefzPDzZJLszP5JF5+zZe+7I0dZoOJdLGkHB5KvQAsfuhTj3Libsp5dJefwLcF5+KkbTJorYGOg3QDN/AZw7pxnQDyIj5fchhBA3GnmVSQiRKfy661uOnjtA1vAcNCr1hN1xhLiIUopc0fnJFZ2fyvnrXfh6su8c64/8xqpD8/l9/xyOJx1i8d4fWbz3R7JH5KZJmdY0LfM0MWFZ7QsvhBBCiP/0y86vAahdpJGs8hWXcDvD6VXvfTrOvIfVhxcyZd0outzR/9qPt3gUzr2L0c5wUpqNQ8cVCV7YIJkw0VqJohT06S2NoKBSCs89A3BMborjxBbcy9/HW6vrvz6kfj1FdDT0ek2zchV0fVEzfDBkySK/FyGEuJFcutOcEEJkMAEzwOfrrVVBj9zSQQpwkWFEuqKpUehuOtcYxJTmqxh7/888XO45soRnIz7lGB+vGUqLL29j/Mr+JHkT7Y4rhBBCiH/gC3hZsOc7QEbEicsrnLUknWsMBOCTtcNYtOuHazqOc8sPuFdPBMBzz0DMvOWDljFYZnyn+eRT63aP7or69aThEGw6KiepDd4AwLXyI1T8rv98TJXKirdHKWJjYcsW6NRFc/y4TuuoQgghQog0g4QQGd6ivd9z8OwuYsLiaFK6td1xhLgmSilK5qhA+2p9+eLRdbxadyzF4sqS4k/iy43v0XpaDX7a/jlaS8EmhBBChJKVh+aT6DlNtohcVMxb2+44IoQ1LPk4Tcu0AeC1WW3Yn7Djqh5vnNxO2JzXAPBWfRZ/qXuDnvF6rVmrGfW2db36TBtF0ybSCEorgRJ34y9aF2X6CJ/XF66gTihbRjH2XUXOHLB3H3TorNl/QOoLIYS4UUgzSAiRoZnaZMq6UQA8VO5ZIl3RNicS4vq5HG4aFH+QD5rNo9+dn1AgtjgJqScZsaQ7vX9pyemUE3ZHFEIIIcR583dNB6B+sQdwGA6b04hQ16FaP27JXZ0k71nemNeGc96zV/ZAv4ewH3ugAh78hWvjrdklbYNeg0OHNK+9oQkE4K474akn7U6UySmF547X0c5wHAdX4vxjxhU9rEhhxfvvKQoWhGPHoGNnzbbt0hASQogbgTSDhBAZ2tJ9P7E3YRuRrhialXna7jhCBJVSipqF7mH8A/NpV+V1XI4wVhycR7vp9VlxYJ7d8YQQQogbXoovid8P/AxA/WLNbE4jMgKn4aLPHePJHV2AA2d20u/XtvhN338+zr14BI74HZiR2fE0HAQh1nj0eDS9+2jOnoUyZeCVngqlZFVQWtNZ8uOt0QmAsIVDIeX0FT0uTx5rhVDJkpCQAJ27adaslYaQEEJkdtIMEkJkWFprpqwfDcADZdsSHZbF5kRCpA2XZ/YXXAAAIABJREFUw82jt3RiTJPZFMlaioTUk/T65QnGr+yPqU274wkhhBA3rOUH5pLqTyFvTGFK5ahodxyRQcRF5GRks28Id0ay5vAiRi996V9HATv2LsW91tqEx3P3AHRUjvSKesXeHaPZuQuyZoVBbynCwqQRlF58lVoTyF4ClZpA2OIRV/y4uKyKd0cpbq0IycnQ4yXN4iXSEBJCiMxMmkFCiAxr+cG57IzfSLgzkgfLtbU7jhBprli2Moy5fzbNyj4DwJcb3+PNeU+T4kuyOZkQQghxY1qw5zsA6ha9X1ZBiKtSOndFXqv/AYYymL1jKpPWDPnnO3oS/9onqOITBIrVTceUV2ber5oZ34FS0Ke3IkcO+beQrhwuPHe+CYBz07cYxzZf8UOjohTDhyjq1AavD3r30UyfKQ0hIYTIrKQZJITIkLTWfHZ+r6D7yzxFlvDsNifKvJKSNFu3aRYt1kz7VvPxZM1Hk0w+nGDy6RTND7M0v/2u2b9f4/dL4ZDWwpwRPF99AK/WHYPLEcZv+2fTfdYDnEmNtzuaEEIIcUNJ8iay4qA1trV+URkRJ65e9YJ30bnGIAA+Xz+aLze8d8l9whYNwzh3FDNLIbx1uqd3xP909Khm6AirBniyJVStIo0gO5j5K+Er1RiFxr1wKPzLSrP/FxameOtNReNGYJowYpRmxGhTajshhMiEnHYHEEKIa7Hm8GK2nliD2xHOw+Xa2x0nUzl4ULNsBaxbr9mxAw4d/rd7X1wguF1QuLDmlpuhSmVFpVutd5uJ4GtQ/CHyxhShz9wn2RG/gRdnPciQhl+RPTK33dGEEEKIG8Lv+3/GG0ilYJabKJatrN1xRAbVpHRrkrxnmbBqAONX9SfSHUOT0q0BcOxbimvj1wCk3tMfXJF2Rr2EaWr6D9IkJcHN5aBNa7nut5O3TnecO+fiPLgCx65fCdzU4Iof63QqXukJBfLDhxM002fA/v2at96E2Fj5vQohRGYhzSAhRIY0Zf1IABqXakm2yFw2p8n4Dh3WzPpJM28+HDx46fezxUHu3JA7F8TEgtMJDsOaLR1/CuLj4cBB8Hhgx07rz7czNA4HVKuiueduRe1ayOzwICub6zZGNppBz9mPsDdhG91nPcCoRjPk34QQQgiRDhbsmQlAvaJNZUScuC6Ple9MkjeRqRve4Z3fXiHSFUODwvcRNq8fYI2HMwtUsTnlpb78Gtath4hweL2XwumUfwd20rH58N32FO4VHxC2aCjJReuAw33Fj1dK0eoJKFIY+vXXrF4Dz3bQDBkIhQvL71YIITIDaQYJITKc9Ud+Y8PRZbgMN81v6Wh3nAzLNDVLlsI3060L/T85HFChvLWyp3QpKHETZM363xf/pqk5chR27IBVazSrVsHBQ/DbMvhtmSYqCpo01jzysCJ3LikmgqVQ1hKMajSTnrMf4tDZ3bw6pwUjGn1LtDvW7mhCCCFEppXoSWDVoQUA1CvW1N4wIlN4+rZXSfYlMnPLJIYs6owr/3waJezHjMqJt/YLdse7xK7dmg8nWFMCujyvyJ9fru9DgbdqO5ybvsFI2I9r/VR8lVpf9THq1Fa8PwZe6aU5eAjatte80hMa3CG/YyGEyOikGSSEyHA+W2etCmpY8nFyRuWzOU3G4/drfpoNU7/U7D9gfU0pqHwbNL5XUaP6tY12MwxF/nyQPx/Uq2s9ft8+zc+/aOb8AkePwRdfwdffaO5soGndSlGooBQUwZAvtjDDGk6j649N2HVqE33mtmbw3VNxO8PtjiaEEEJkSkv2zcJv+igaV4bCWUvaHUdkAkopOlUfQIoviTk7v+KtA19juiO58/ae4I6yO95FvF5NvwEanw9q1YT7GtudSFzgjsJbqwvhv/TB/ftYfGWaQkTWqz7MTcUV48fB629q1q2HN/pp1q7XdO6oZNqDEEJkYIbdAYQQ4mpsPLqctUeW4DRcPFa+s91xMhStNYsWa1o+pRky3GoERUdByxbw9VTFqOEGdzZQQd3jp3BhxbNtDb6aqhg2xNpDKBCAn+dAq9aaQUNNjhyRjUmDIV9sEQbe/TmRrhg2HP2dAQs6EDD9dscSQgghMqUFu60RcfWLNbM5ichMDGXQo85o7g8vjlbQPzKZb/QJu2NdYspU2LULsmaBl3soGZMYYvzlHiSQoyTKcxb3qo+u+ThxcYrRIxRPtrQ+nzETOjyvOXRI6jchhMiopBkkhMhQ/lwVdE+Jx8gdXcDmNBnH1q2azt00vV7XHDwIcXHwfEfFt18r2j9rkCdP2hZwhqGoUU3xziiDCR8oataAgAk/zoInntR8PFnj9UpRcb1KZL+Ffnd+jMsRxtL9PzFuxZt2RxJCCCEynYSUk6w9sgSw9gsSIphcB1bw6tF4HvVYK7zfXdaLT9YMRevQuFbev18z+TMrS7cuimzZpBEUcgwH3trdAHCt+RSVeOyaD+V0Wm/uGzFUkTULbN8BTz+r+XVBaDwfhRBCXB1pBgkhMow/jq9i9eGFOJSTx2VV0BVJTNQMHmrStr21vN/thidbwhefKR5rroiMTP/irXQpxdBBBuPGWCuFvD6YMFHTpq1m3XopKq5Xxby16FV3LADT/5jA3J3TbE4khBBCZC6L9/2IqQOUzFGBfLFF7I4jMpOAD/f8/igUHUs+Q8uK1l5Bn64byfAlL+A3fbbG01ozbKQ1Hq5aVWhwh61xxL8IFK1HIF8lVMCDe/n71328alUVE8cryt8CSUnQ503NyNGmvKFPCCEyGGkGCSEyjE/XjgDg7hLNyRNTyOY0oW/pb5pWbTQ/zLI+v+dumPqZ9c6uYI6Cu1Y3l1O8PVLxxuuKbHGwbz907qZ5b6yJxyNFxfWoU6QxT1SwXjwYtbQnu+I325xICCGEyDzm754ByKogEXyudVNwxO9CR8Thq9WFpyq9TLeawzCUwc87vuC1X54kyZtoW75Zs2HtOggLgxdfkPFwIU0pPLWtesC5cRrq9N7rPmSuXIp3RilatrA+/3YGtO+k2b9fajchhMgopBkkhMgQtp5Yw8pD8zGUg8fLd7U7Tkg7c0bz1gCTl3tpTp6EAgVgzDuK13sZ5M4VWgWbUoq7GiimTFY0aQxawxdfQbv2mp27pKi4Hk/e2oPK+evjCaTw5q9Pk+hJsDuSEEIIkeGdTD7KxqPLAKhb9H6b04hMJeU07t/HAFgv4odnAeC+0q3o1+Bjwp0RrDo0n24/3s/xc4fSPd7p05r3xlrX58+0UeTLG1p1hbiUWaAy/qK3o3QA92/vBuWYTqc1ZnzYYEWW2L/Gxv3wow6ZUYZCCCEuT5pBQogM4dPzewXdddPD5IstbHOa0LVmrebJpzU//wKGAY81h48nKCqUD+1iLSZG8XJPgyEDFXFxsHsPPNteM+M7KSqulcNw0KveWPJEF+RI4j4GLewkP0shhBDiOi3a8z0aTblcVWT/ShFU7hUTUN5zBHKWwX/zQxd9r3qhuxnRaDrZInKx5/QWOn/fiO0n16drvrHjNImJUOImaP5wup5aXAdvrfN7B22bhXF8S9COW6O64pOJitsqQWoqDB6m6dNXk5go9YYQQoQyaQYJIULe9pPrWX5gLoYyZFXQZZim5uPJmm4vauLjoVBBGPuu4vmOBuHhod0I+rtaNRWTJypqVrf2Eho+UtO3vyY5WYqKaxEbFscbDSbicoSx4uA8Zm6ZaHckIYQQIkNbsGcmICPiRHCpxGO41k0BwFu7G6hLX6oplaMi7zaZRdG4MsSnHKP7rGYs3Tc7XfJt/kPz08/W7R7dFU5nxqkvbnRmrjL4SjUGuLDyLFhy5FCMGq5o/6zC4YD5C6BNW83WbVK7CSFEqJJmkBAi5P25KuiOYg9SIEsxm9OEntOnNS++pJkwUWOacO898NGHipvLZcwiLS5OMXigomN7q6iYOw+e7aA5dEiKimtRIvstPFvldQA+XPkW+05vszmREEIIkTEdO3eAP46vQqG4vWgTu+OITMS9/H1UwEMg/20EitS57P1yRxdgdOPvqJK/Pqn+FN6c14Zpm8al6epv09SMfsc6fqOGUK5sxqwxbmTeGh3RKJy75gV1dRCAYShatlC8/54iXz44egw6Pm+NjRNCCBF6pBkkhAhpO+I38vv+nzGUwRMVu9kdJ+SsXad5qq1m5SprI9deLyt6v2oQEZGxizTDULR4TDHmHUXOHLB3H7TroFmzVoqKa9G0zNNUzl8fbyCVQYuexxfw2h1JCCGEyHAW7PkOgPJ5apA9MrfNaURmoU7vw7npGwA8tbqB+vfr+Ch3DP3v+pQmpVuj0Yxb8SZv//4yAdOfJvlm/wxbtkJkJDzXLmPXGDcqna0Y/lL3AuBe9n6anKNsGcVHHyhq1bQmPAwephkyzMTjkfpNCCFCiTSDhBAh7bO11qqgekWbUTDLTTanCR1aaz77XNO1uzUWrkhhGD9O0ejezFWg3VxOMf4DRZnScPYsvNBD890PUlBcLUMZ9KwzmtiwbOyM38iXG4M7IkIIIYS4ESzcbY2Iq1+smc1JRGbi/n0MyvTjL1IHs0DlK3qMw3DSpcZg2lfti0Lxw9bJ9P6lFUnexKBmO3dOM+5D69r7qScV2bNnrlrjRuKr1t5aHbTzF4wTaTMpICZGMai/4tm2CqXg+x+hUxfN0aNSvwkhRKiQZpAQImRtP7mepft/uvFWBQW84E0CTyKkJEDyKVTSSUg9A2YAj0fTf6BVmP05Fm78OEWxopmzOMuRXfHe24oGd0AgAEOHa0a/a+L3S1FxNbJH5ub56gMAmLJuFPsTdticSAghhMg4Dp3dw/b4DRjKQZ0ije2OIzIJ48R2nFt/AMBb6+r2RlVK8fDNz/Fmg4mEOyNYdWg+3X68n2PnDgYt38eTNadOQ8GC8MhDQTussIGZowT+kvcA4Fo+Ls3OYxiKJ1sqRgxVZImFrdvgmWc1K1dJ7SaEEKHAaXcAIYS4nMlrhwPWXkGFs5a0Oc110CYq6STq7CGMxCOos4dRZ4+gUk6hPGdRnnMoz1k4/1H9xwivZDOarjqGZ+rFkCVXLNnzx2L+nhedtTBm1kKYcYXRsfnB4Uqnv2DaCwtTvPk6FC0CEyZqpn0D+/dr+r0B0dGZswmWFuoXa8bcXdNYcXAeI5f2YGSj6Rj/sEGxEEIIIS624PyqoFvz1SFLeHab04jMwv3bOyg0vpINMXOXu6Zj1Cp8LyMbzeC1X1qx5/QWOn/fiLfumkypHBWvK9uhw5pp31q3u3RSuFxyzZ3R+ap1wLV9Ns7tP+M7uQMzR4k0O1fVKoqPPoTX3tBs3Qbde2raPQMtW1gNIyGEEPaQZpAQIiRtPbGGZQd+wVAOWlbsbnecK5N6FuPkdhwntmGc3IY6vc9q/iQeRZm+6zq0RqGw3k0VaZwjMvIccARSgV3/cH/lQGfJjxlXBDNXOQJ5bsHMWx4dmXFfvFBK8dST1ki8twZqVqyEzt00I4dBXJwUFFdCKUXXmkN45tvb2XRsOT9us+bNCyGEEOLfzd8zA4D6RZvanERkFuaBNTh3zUMrA2/Nztd1rJI5KvBuk1kXGkLdf3yAXvXGUqvwvdd8zAkTNX4/VKkMNarLtXZmYOYsib/E3Th3zMG1fByexiPS9Hx58ijGvAOj39F8/yN8OEHzxxbo/Yo1Uk4IIUT6k2aQECIkfbJmGAB33fQwBbIUsznNP/Am4Ti6CePoehxHNmCc2IJx9vBl766VAx2dCx2bDzM2HzomHzoqBzosBh0Wiw6LhvMftTvGWtWjHGAYoBwsWgIDB3pwBc5RuvA5Xup8ljxZEsGTiEpJwDhzECNhPyphn/XRn4pK2I+RsB/2LLqQw8xWjECBKhf+6Ohc6fHTCqp6dRV580KPlzU7dkLHLppRwyFPbikorkTu6AI8c1svxix/jfEr36JGwbvJEZXX7lhCCCFEyNp3eht7T2/Fabiu68V1If7O/NWqd/xlm6KzXX+9kzu6AKMbf0f/+c+y8tB83pz3NM9VfZOHb37uqo+1fYfml7nW7fbPyjV2ZuKt3gHnjjk4t/2Et3pHdPbiaXq+sDDFyz0VZctoRr2tWbIU2nXQDBsMBQvIc0sIIdKbNIOEECFn87GVrDw0H0M5eKJCaKwKUsnxOPYvw3FwJcbhdRjxO1DavOR+ZkxezJylMHOUwsxWzGr8xOazmi7G1f8nV2vNZ5/DB+M14KbybdkYMbo4ZuAMgcs+yESdO46RsB8jfgfGsc0YRzfgiN+FcWo3xqnduDZ8aeWNK4K/eAP8Je7GzHMLqIxxQV6qpPUusxd6aA4cgI7PWw2hwoUzRn673V+mDfN2f8vWE2sYs/w13rjjI7sjCSGEECFrwR5rRFyV/PWJCctqcxqRGRiH16F3zkcrB95qHYJ23Ch3DP3v+pQxy17ju60fM27FGyT7EmlV8UXUVVznj/vQmkhw153WdbfIPMycpfEXb4Bz1zzcyz/A02houpy3yX2KEiWgdx/NwYPQvqNm0AAof4s8v4QQIj1JM0gIEXI+WWu9S+6eEo+RL7awPSFMP45Da3DsXohj/284Tmy99C4xeQnkrYCZtwKB3OUwc5SE8CxBi+DzaYYM18z+2fr8oQegcydFlliD06f/5YHKQMfkIRCTh0DBqn99PeU0jkOrcRxciePASowTWzFO78W96iPcqz7CjMmL/6Y7rcZQvlvBcATt75IWChVUvP+u1RDatx86ddGMGCYF65VwGA661xpO+5l3snjvj6w7soSKeWvbHUsIIYQIOVpr5p/fL6heMRkRJ4LDvWwscH5VUNaCQT22w3DSucYgckTlY+LqgUxeO5xUfzLtKr9+RQ2hlausccxOJ7R9Wq6rMyNvjY44d83Due1HvDU6oOOKpst5S5dSfDgWXumt2bIVunXX9O4FDerL80wIIdKLNIOEECFlw9HfWXN4EU7DRcuK3dL35H4Pjr1LrAvjXfNRqQkXfTuQszSBQtUJ5LsVM2/FNB2xlpSk6d1Hs2o1OAzo1lXxQNPrvEiOiCNw050EbrrT+jz1DM59v+HYMQfnnkUYiUdwr/0U99pPMaNy4C9xD/6bH8TMVfb6/0JpJFcuxXvvQI+XNNu2W3sIDR0EFStIQfFfimUrS5PSrZm5ZRLvLXuND5rOxXENq9eEEEKIzGzXqc0cPLsLtyOcGoXusTuOyASMI+tx7l0MhgNvtfZpcg6lFC0qdCHcGcHY5a/z1caxeAMeOlXr/68NIdPUF1YFNWsK+fPJNXVmZOYqi79YfZy75+NeNg7PvUPS7dzZsyveHQ1939IsXgpv9NUcOQJPPM5VrV4TQghxbeRVHyFEyNBa8/Ea60L03pItyB0d3HfJXY5xcjvOjdNwbfkOlXrmrzzhWfEXq0egSG0ChaqjI7OnS56T8ZoeL2l27oKIcHirr6J6tTS4MA7Pgr/UvfhL3YvHl4pj31JrfvTu+RhJJ3Gvm4J73RQCucrgv/khfKXvC+rKp2CJy6p4ZxS83Euzbj1076kZMhCqVJZi4r+0rvQSv+6ewd7TW/l+6yc0K/uM3ZGEEEKIkDJ/9wwAqhVsQKQr2uY0IjNw/z4GAFXxkaCvCvp/D5ZrR5gzgtFLezLjj4+IcEbxTOVel73/wkWwbTtERkLrVnItnZl5q3fEuXs+zq0/WHsHxaXfRI7wcEX/fjDmfc1X06yxhCfjoevz0hASQoi0ZtgdQAgh/rTuyFI2HF2Gy3DTokLXtD2ZNwnnxmlETH2MyMlNca/9FJV6BjM6D95bW5H8yCcktV+Mp+Eg/KUbp1sjaN8+TfuOViMoLg7efTuNGkH/zxVO4KYGeO4dQlL7JaQ88AG+kg3RDheO41sI+7U/UR/cTtiPPXDs/x3+Yb8kO0VFKUYMVdSsAV6v1RhauUrbHSvkxYbF8fRtrwDw8ZqhnEmNtzmREEIIETq01iw8v19QvaIyIk5cvz9XBWnlwFE3faYgNC7Vkq41rX1hpm54h6nr3/3H+5mmZtIn1vXzo49Yb7gSmZeZ52b8RW9HaRP3ig/S/fwOh6LL8wZdO1vPs2nfwNARGtOUGk4IIdKSNIOEECHBWhVkFSmNS7ciZ1S+tDmRJxHXsrFEjW9A+C+v4ziyHm048d90FykPfEBy27l46/fCLFgV0nlk1sZNmg6dNUePQYH8MG6MonQpG4owh5tA0dvx3DeKpGcX4qnXi0COUqiAF9e2H4mY9jSRE+/BtWwsKvFI+ue7jLAwxYB+ilo1pSF0NRqVbEnxbOU45z3DpNXpNyJCCCGECHXbTq7l6LkDhDsjqVbwTrvjiEzgz1VB/rL3o7IVSbfz3le6Fe2qvA7AR6sHMHPLpEvus2AR7N4D0VHQ/GFpBN0IvNU7AeD84ztUwgFbMjzykKLXywrDgO9/gAGDNX6/1HBCCJFWpBkkhAgJqw4tYPPxFbgd4TxWvnPwT5B6Fvdv7xE1oQFhv72L8pzBzFIIT50XSW43n9T73yFQ9HYwHME/9xVYvETTtbvm7FkoUwbeH6NCY0Z3RBy+Sq1IaTWd5BZf4yv/KNodjXHmIGG/vUvk+AaEf9MOx/bZ4PfanRaXS9G/rzSErobDcNCpen8AZm3/jD2nt9icSAghhAgN83dbq4JqFLqHcGekzWlERmcc2XBhVZC36nPpfv5Hb+lEiwrWaqR3f3+VuTunXfieaWomfWxdMzd/RBETEwJ1iEhzZt7y+AvXRukA7pXjbcvR6F5Fn94KhwE/z4G3BkhDSAgh0oo0g4QQttNaM2n1IACalG5Njsg8wTu4GcC54UuiJt6Ne9kYlCeRQPbipDYaTnKbWfiqtEVH5Qje+a7BjJma3n00Xi/UrA7vjFShN5ZBKcw8N+O5802SnltEasMh+AtURaFx7ltCxA8vEDW+Hu6Fw1Cn99gaVRpCV698nhrUKdIYU5uMX9nf7jhCCCGE7UxtsnDPdwDUL9bM5jQiM3AvO78qqEyTdN2f5e/aVHr5wh6RwxZ3Y/WhRQDMXwh79lqrgh55yJZowibeGh0BcG6egTp72LYcdzZQvNVX4XTCvPkweJiMjBNCiLQgzSAhhO2W7JvF9vgNRDijeDyIq4KMw+uImPoo4XPfRKWesZpAjUeS8uR3+Es3tm0V0J+01nw4wWT4KI1pwn2NYGB/RUREiDWC/p8rAn/Z+0lt/glJbWbjrfocZlQuVMpp3KsnEjWpEeFfP4Vz64+2rRZyuRRvvSkNoavxzG29cSgnKw7OY+3hJXbHEUIIIWy1+dgKTiYfIcodS+X89eyOIzI448RWnHsWoZWBt1r6rwr6k1KKjtXeon6xBwhoP31/fZqdJzdf2CtIVgXdeMx8t+IvWB1l+nCtnGBrltvrKPr2sVYIzf4ZRozSaC01nBBCBJM0g4QQtgqYAT5eY+1T8mC5Z8kacf2rdFRyPGE/9ybyi8dxHNuMDovBU783Ka1m4C91Lyj7/9Pn92sGDdFM/sz6vE1reLmnwunMWMWXjiuMt3Y3ktvNI6XpWPzF6qGVgfPAcsJn9SDqw7q4Fw61ZbWQ231pQ2jVaikmLqdAlmLcV/pJAD5c2Q9TmzYnEkIIIeyzYI81Iq5WoYa4HWE2pxEZnWuFNYLLX7IhOq6IrVkMZdCzzmjK56lBsu8cPX9syd7jh4mOllVBNypf9Q4AuDZNQyUeszVL3dsVvXsplIKZ38O7Y6QhJIQQwWT/K6JCiBvar7u/ZV/CdmLcWXnk5vbXdzCtcf4xg8hJ9+La/C0AvnIPkvzULHy3tgTDGYTE1y85WfNyL82s2WAY8FIPxTNtDJTKWI2gixhOAsXrk9rsfZKf+QVv9U6Y0blRqQm4V0+yVgt91TrdVwv92RCqWcNqCL30qjSE/k2rit2JdEWzI34D83fPsDuOEEIIYYuA6Wfhnu8BqCcj4sR1Ugn7cW6fDYCvSlub01jcjjD6NphEoSwlSQwcwX1Hax56OEVWBd2gAgWqEMh/Gyrgw7XqI7vjcPedipd7Ws/Fr6bB+I+kfhNCiGCRZpAQwja+gJfJa4cD0PyWTkSHZbnmY6nkeMK/60z47FetfYFylSH5sc/x3DPA9j2B/u7kSU2nLprlKyAszBoLd/99mavo0rH58NZ8nuS2c0lp9rfVQgdX/LVaaN5bGAdXQTqsPnG7rT2EpCH037JG5OCx86MaJ64eiNefanMiIYQQIv2tP/o7CakniQ3LRqV8deyOIzI496qJKG3iL1IHM1cZu+NcEBOWlftiPkOnZMfItpljBV+WFRg3KqXw/rk6aMNXqKQTNgeC+xopXuhi1cmTP4Mvv5bnphBCBIM0g4QQtpm9YypHEvcRF5GTZmWfvubjGAdXEjG5Gc5d89CGC0+tbqS0+Aoz361BTHv9du3WPNtBs2MnxMXBu6MVtWtmrkbQRQwngWLnVwu1nYunxvOY0Xms1ULrPyfyq1ZEflgf9/yBGIfXQhoWn//fEHq5l2bdeiko/smD5dqRIzIvx84d5Lutn9gdRwghhEh3C3ZbI+LqFGmM03DZnEZkZOrccZznJxZ4q7azOc3FTFMz/fMC+BaNQ+Fgwb5pzNwy0e5YwiaBQjUJ5CmPCnhwrfrY7jgAPPSg4rl2Vr383ljNgoVSvwkhxPWSZpAQwhYefwqfrRsFQIsKXYlwRV39QbTGtWoiEV+3wUg+SSD7TaQ88RW+as+FzEi4P61arenYWXP8BBQqCOPGKMqWycSNoP+jY/Liq9HJWi30wIf4yjZDh8VgJB3HvfZTIr9oQeSEBrgXDsM4ujFNGkN/NoSqVwOPB3q+otn8hxQU/y/cGUmrW18E4IsN75LiS7I5kRBCCJF+/KaPxft+BKBe0aY2pxEZnWvNZFTARyDfrZj5K9sd5yK/LYM9eyE8sRatK7wGwPvL32Dj0WX2BhP2UApv9Y4AuNZPheRTNgeytGwBzZpa5WG/AZpNm6V+E0KI6yHNICGELb5d2UgGAAAgAElEQVTb8jHxyUfJFZWfxqVaXf0BPOcI/6EbYYuGoXQAX5kmpLT4EjNn6eCHvU4/zda8+JImKQkqVrAaQfnz3TiNoIsYDgJF6+BpOIik55aQ0nQsvtJN0K5IjMQjuFdPJPLz5kROvAf3wqE49i4BX0rQTu92Kwb0U9xWCVJS4MWXNNt3SEHx/+4p8Sh5oguRkHqS72V1kBBCiBvImkOLSPScJi4iJ+Xz1LA7jsjIUs/i2vAFAN4q7SCE9gfVWvPZFOsa+IGm8ESl9tQv2oyA9tNvfjtOJh+1OaGwQ6Do7QRyl0P5U3CvCY0aQClFt85/TXh4pZfm4EGp34QQ4lpJM0gIke6SvIlM3fAuAK1ufRG3I+yqHq8S9hM59VGcO+agDRepDfrgaTgEXJFpEfeaaa35aJLJgMGaQADubAAjhyliY0OnELSV002geH08jYaS1H4pKU3exlfqXrQzAuPMAdyrJxHxbTuixlYj/OuncC3/AOPIegh4r+u0YWGKQf0Vt9wM585B9x6a3XukoPg7p+GiZcUXAPhq4xhZHSSEEOKGsXDv9wDcXuQ+HIbD5jQiI3Otn4ryJhHIXoJAsbp2x7nIho2waTO4XfDIwwqlFN1rj6BIXGlOp5xgwPz2BMyA3TFFelMKb7X2ALjWTYGUBJsDWZxORd8+ilIlIeEM9HhZk5Ag9ZsQQlwLaQYJIdLdt5s/5KznFAVii3P3Tc2v6rHGwVVEfv4oxqndmNF5SHn0U/wVHg+pd9oB+HyagYM1k86/oarVE9Cnt8LtDq2cIcMVTqDE3XgajySpwxJS7huFr9yDmDF5UQEfzgPLCVs6msipjxH1XmUiPn8U9/yBOLf8gDq9D7R5VaeLjFQMG6woXcoqKF54UXNA3mF2kbtueoR8MUVISI2X+fFCCCFuCL6Al6X7fgKgbtH7bU4jMjRfKq41k62bVdqCCq2XXj49vyro3oaQI7tVn0S4oujbYBIRzig2HlvGlxvfszOisEmg+B0EcpRCeZNwn38Oh4KICMXQQYo8ueHgIXj1NY3XK/WbEEJcrdC6IhFCZHpnUk/x9aZxALSu1BPHVezt49w2i4hvnkalJhDIfYs1Fi5vhbSKes0SEjQv9ND89DM4DOj5ouK5dgaGIY2gK+KKJFCyIZ57BpDcdh5JbWaResfr+Is3QIdnQQV8OI5uwL32U8J/6knUpIZEvVOJiE+aED7zedyLhuHc8BWOvUsxjm9BJR77x9VE0dGKkcMUxYtD/Cno2l1z5IgUFH9yGM4Lewd9uXEsSd5EmxMJIYQQaWvt4cWc854hW0QuyuWqancckYG5Nn+DkXIKMzY//tKN7I5zkR07NcuWg2FAi8curk/yxxalc42BAHyyZhhbT6yxI6KwkzLwVu8AgGvtZEg5bXOgv2TPrhg+VBEdBRs3wdARGp0Ge80KIURmFlo7rAshMr2vNo4h2ZdI8Wzlruodl85N3xA253UUGn+Ju0ltOBhcEWmY9Nrs2at5uZfm8GGIioK+fRTVq0kT6JophY4rij+uKP6KLUBrVMJ+HEc3YBzZYH08sQUV8OCI3wnxOy97KO0IA4cLHC604QSHi0jDxRe1nBwo6iLJ48LzoQvHTS5c4db9UAboAJgBMP3Wx79lAwVK4XeHEe4PWF9TDrQ7Ch0WA2Gx6LAY6090TswsBdGxBcAVnvY/uyC4o9gDfL7+bQ6c2cmMPz7iiYrd7I4khBBCpJmFe78DoI6MiBPXI+DDtcpaVe2r3Aau4s1v6WHKVOvF8/r1IH/+S+uUu25qzvKD81i45zuGLurKuKa/4HZmjGtXERyBEncRyFkGx4ktuFd+hPf2HnZHuqBIYcVbfaHHS5rZP0PhQtYUDiGEEFcmtK5KhBCZWnzyMWb8YRVGbSq9jHGF4xJcaz8jbP4AAHzlH8XToE/IjVoAWLZc80Y/TVIS5MsHQwYqihaRRlBQKYWOK4w/rjCUaWJ9zfSjzh7GOL0PI2Ef6s+P546hUk6hkk+jdAAV8EDAYx3mb4c0gGKRwJ9bTh27+liaq/sfqhmdG52lAGZcEQJ5K2DmrYiZvXjIPa8dhpNWFV9k4MIOfL3pfZqWfZpod6zdsYQQQoigs0bEzQagbtEmNqcRGZlz208YZw9jRmTDV+4hu+Nc5NBhza/zrdstH//nOkUpRbeaQ9l4dBn7z+zgk7XDaVfltXRMKWynDLy1OhMxoyOudVPw3dYaHZXT7lQXVKms6NoFRo7WfDBeU6gQ1K0jdbcQQlwJaQYJIdLN5+tH4wmkUDZXZaoVvOuKHuNaMZ6wJSMB8N7WBu/tPUNufyCtNd9Mh3fe05gmVCgPA/opsmYNrZyZluFEZy1EIGshAtS59PvahNQzKF8yBHxW8yjgu/i26eP0SR/jx3tJTvSRP4+fJx/3Ex4WAOUAhxOU8/zKn/O/1z9HEmiTqMgIks6ds86lAyhvEsqTCKlnUZ7zfxKPYZzZj/ImYZw7BueO4Ti0GtembwAwI7IRKFYXf7F6BArXAndU+vz8/kPdovfz2fqR7E/YwfTN4y+MjhNCCCEykzWHF3HOe4bsEbllRJy4dtrEtXI8AL5KT4bcavCpX1r1SrWqUKLE5WuVmLCsdK05lDfmPcXXm8ZSp0hjSue8NR2TCrsFitYjkLcCjiPrca0Yj7d+L7sjXeTBZop9+6w6/K0BmrzvQsl/eU4LIYSwSDNICJEujibu58dtnwHw9G2voK6goeP6fQxhv1sbl3qrd8Rb4/mQawT5/ZrR72hmWFNFaHQv9OyucLlCK+cNTRkQEYeOiLvwpX+aLB1bBJrn0TzfRfPzGvgtCUaPUERH//fv0oiLw3/6CuZpaw2pCRgJ+zESDmDE78A4vA7H0Y0YKacwNk/HtXk62uEiUKAageL18Berj47Nd+V/3yBzGA6erNiD/gueY9rmD3igXDtZHSSEECLTWbjHupirXaSxjIgT18yxeyGO+J1odxS+Co/bHecip05pZs2ybrds8d/Xt7UKN6R+sQeYv3s6wxd3Y2zTObgdYWmcUoQMpfDW6krEtKdxbfgCX+U26Ji8dqe6SOdOigMHNStWwiu9NOPHQVzcfz9OCCFuZKE1j0YIkWl9um4EftNHpXy3UzFv7f+8v2vF+AuNIE/t7nhrdg65RtDZs5oXX7IaQUpBx/aKV1+SRlBGVrCAYvRIRdYssHUb9HxFk5wcxE1JlYKIOMy8FfCXuQ9v7RdIbf4JSZ2Wk/LwJLyVnsTMUggV8OHct4SwX/sTNaEBEV89iWP7HGvfIhvcXrQJhbOWJMl7lu+2fGxLBiGEECKt+AJelu63RsTVu4o9LYW4iNa4V3wIgK/8YxAeWm+emT5T4/VBubJQscKVPeb56v3JGp6DvQnbmLJudNoGFCEnULA6/gJVUQEf7mXv2x3nEk6nom8fReFCcPwEvNFP4/MFsXYTQohMSJpBQog0tz9hB7/s/BqwVgX9F9eayRdGw3lqd8dXtV2a5rsW23donnlWs3oNRETAoAGKFo+pK1rxJEJb0SKKkcMV0dGwcRO80lvj8aRxUeFwEShUHW+9V0l+ejZJrb/HU7s7gXyV0MrAcXAlET90JfKju3GtnQJ+T9rm+T+GMni8fBcAvtk8jhRfUrqeXwghhEhLqw8vJMl71hoRl1tGxIlrYxxajePIOrTDbY2ICyEej2b6TOv2o82vvGbJEp6dLjUGATB1wzvsiN+YVhFFKDq/OgjAuelb1Ol9Nge6VEyMYlB/RWQkrFsPo95OtjuSEEKENGkGCSHS3MdrhmJqk5qFGlI6Z6V/va9z/ReELbAKDm/1TiHZCPrpZ037TpojRyFfPnj/PUXtmtIEykxKllCMGKqIiIA1a6HX6xqvN53eZaYUOvtN+Kq2I+WxKSS3nYu36nPoiDiMxCOEze9P5Ed34Vo3JV1XCtUv1oy8MYU5k3qKWdunpNt5hRBCiLS2aM/3ANQpeh+GkhJZXJs/VwX5yz2Ajs5lc5qL/TIXEhIgT264/b+HNFzk9qJNuL3IfZg6wKilPQiYgbQJKUKSmb8S/iJ1UDqAe9lYu+P8o0KFFL1fterxTz5NZd58WR0khBCXI1e6Qog0tSN+I4v2fo9C8VSll//1vs4/ZhA+ry8A3ipt8dbolB4Rr5jPpxk52mTAII3XCzWqw4QPFDcVl0ZQZlSurGLYYEVYGCxfYY0d8PvTv7DQMXnx1u5GUrv5pDbogxmTFyPpBGG/9idiyiMYh9akSw6H4eTRW54H4KuNY/EG0nd1khBCCJEWvAHPhRFxdYs0sTmNyKiME1tx7l2MVgbeyk/bHeciWmu+/Nq6hn3oQYXTefW1y/PVBxLljmX7yfX8uO3TYEcUIe7C6qAt32Oc2GZzmn9Wt47iifPbdA0eotm9RxpCQgjxT6QZJIRIUx+vGQJAvWLNKJatzGXv59iziLCfXwPAe2srvLW7h9QeQSdParq8oPl2hvV5m9YwZKAiNiZ0Morgq1hBMXiAwu2CxUug3wB7GkIAOMPwV3ic5Daz8dzxGjosC44TW4n88gnCfu6FSo5P8wh3l2hOjsi8xCcfZc6Or9L8fEIIIURaW3N4kYyIE9fNtWI8AP6SDdFZC9mc5mKrVsOevdZo6yaNr+0Y2SJz8XQla9z3R6sHcjrlRPACipBn5i6Hr2RDFBr3ouF2x7msds8oqlV1kpIKvftokpKkISSEEP9PmkFCiDTzx/FVLD8wF0M5aH1rz8vezzi6ifAfXkDpAL4y9+Ot92pINYLWb7D2B9q4CaKjrCbQM20MDCN0Moq0U6Wyon8/hdMJv86HQUM1gYCNhYXTja/iEyS1mYXv5ocAcG2eTuTHjXFsn52mp3Y7wnjklg4AfLnxPQLpOKZOCCGESAsL93wHyIg4ce1Uwn6c56/BfFXa2pzmUn+uCmrcCKKjr71+ua90a0pkL0+S9ywfrOgbrHgig/DWfgFtuHDuW4Jj31K74/wjp1MxbHAMuXLCgQMwYLBGa2kICSHE38nVrhAizUxaPRiAe0o8SoEsxf7xPiphP+Ez2qN8yfgL18Jz91sh0wjSWjPtW2tFUPwpKFbUGgtXS/YHuuHUrKHo+4bCYcDPc2DYCI1p2lxYRGbDc3d/kh+bSiBnGVTqGSJ+eIGwWT0h9UyanbZRySfIEp6NI4n7WHD+BTQhhBAiI/IGPPy2/2cA6ha53+Y0IqNyr5qI0ib+InUwc11+EoId9u7TLFtulVePPHh9NYzDcNC15mAUirm7prH+yG9BSikyAp21EL4KjwFYq4NCdO+o7NkN+vdTuFywaDF8/oXdiYQQIrRIM0gIkSbWHl7C2iNLcBouWlZ84R/vo5LjifimHUZyPIFcZUht8jY43Omc9J+lpmreGqAZ/Y4mEIAGd8AHYxUFCkgj6EZVt46iz+sKw4AfZsHIt0PjnWZmvoqktPgCb7UOaOXAtfUHIj99AOPw2jQ5X4QrigfKtgPg603vh8TPQAghhLgWaw4ttEbEReahXO4qdscRGZA6dxzn5m8B8FZtZ3OaS309zbpOq10L8ue//jqmdM5KNC7dCoCxy18nEKINAZE2vNU7oMNicJzYinPL93bHuayyZRRdO1vP9w/Ga1avkXpFCCH+JM0gIUTQaa0v7BXUuFQrckcXvPROvmTCp3fAOLMfMzY/qQ98AO6odE76zw4d1rTvpJkzFxwGdOmkePN1RUSENIJudA3qK3q/olAKZsyEd8eERkMIhxtvrS6kPDYFM0shjMQjRHzZCteKD0GbQT9dk9KtCXdGsDN+I2uPLAn68YUQQoj08OcK19uLyIg4cW1cayajAj4C+W7FzF/Z7jgXOXNGM3uOdfvRR4JXx7Sp9ArR7izsOrWZOTu/DNpxRQYQEYe36nMAuJe+Db5UmwNdXtMm0KghmCa80U9z7HgI1GxCCBEC5IpXCBF0Kw/+yubjK3E7wmlRoeuldzADhP/QHcexjejwrKQ8OB4dlTP9g/6D35dZ+wPt3AVxcTB6pKL5IwoVIqPrhP3uuVvxcg/r+fDVNBj3YYg0hAAzbwWSW36Dr1QjlA4QtmQUYbN6BL1QyxKejXtKPA7A1xvHBvXYQgghRHq4aERcURkRJ65B6llcG6wZVN4q7UJm1PWfZn4PHg+ULAkVygfvuFnCs12Y/DBp9WBSfEnBO7gIeb5bW2LG5sM4dxTXqo/sjnNZSilefEFR4iZISIDX3tB4vaFRswkhhJ2kGSSECCqtNZPOrwpqWqYN2SNzX3If9+LhOPcsRDvDSWn2Pjpb0fSOeQmfTzPmfZOer2jOnYNyZeGjDxS3Vgytok6EhvsaK7p3s54bU6bC2HEpNif6m7BoPI2Gk3pnX7ThwrXtJyKmtYHkU0E9zUPlnsVQBisPzWfP6S1BPbYQQgiR1lYfWkiyL5EckXkpmyu0VnSIjMG1firKm0QgewkCxeraHecifr9m+gzrhe/mDwf/jW33l2lDvpginEo5zpcb3wvqsUWIc4bhrfMiAO6VE1BnD9sc6PLCwhQD3lLExMCWLTDmfWkGCSGENIOEEEG1ZN8sdsRvIMIZxWPln7/k+85N3+Be/TEAqQ0HYearmM4JL3XosKZjZ83U81MOHmwG745W5MoljSBxeQ82U3TpZD1Hxo5L4dMpIVRcKIW/fHNSH5qADovFcWQdkVMfR505FLRT5IstQu3CjQD4euP7QTuuEEIIkR4Wyog4cT18qbjWTLZuVmkLIfYcWvobnDgJWbPCHfWCf3y3I4x2VV4H4OuN4zh+LnjXmCL0+UveSyB/ZZQ/FfeiYXbH+Vf58ipe72XVbN9Mh7nzQqhmE0IIG4TWFYsQIkMLmAE+WTMUgIdufpYs4dkv+r5xaDVhc/sC4K3eiUDJhume8f/N+1XTpq1my1aIiYGBbym6dzNwu6URJP5b80cU7Z/9a3PSL74KreIiULAqyY9/gZmlAMaZ/UR82RJ1ak/Qjv/IzR0B+HX3dE4mHQnacYUQQoi09PcRcbcXbWJzGpERuTZ/g5FyCjM2P/7SjeyOc4lvz68KanIfaVbX1C7ciPJ5quMJpDBx9aA0OYcIUUrhuaM3Whm4ts/GcWCF3Yn+Vc0ailYtrdtDhmn27gutmk0IIdKTNIOEEEGzYM8M9iZsI9qdhYfLtb/oe+rMISK+64wyffhL3IO3RkebUlpSUzVDhpm80U+TnAy33AyTJihuryNNIHF1WrZQdOoQAcB7YzXffBtaxYXOVpSU5p9hZiuOce4oEV+1wjixNSjHLpOrErfkro7f9DH9j9CdGS6EEEL8nYyIE9cl4MO1aiIAvsptwHDaHOhie/dpVq8Bw4CmTdKutlFK0b6q9Ua/ubumsfXE2jQ7lwg9Zs7S+Mo/CoB7/gAw/TYn+nfPPKWodCukpFr7B6WkhFbNJoQQ6UWaQUKIoPCbPiavHQ5A81s6Eh2W5a9v+pIJn9kRlXKaQK6ypDYcZOsohV27NW2f03z/o7XPa+tW1li4PLmlESSuTYfnIi6822zUO5qZ34dWcaFjcpPcfDKBXGUwkuOJ+Ko1xuF1QTn2I7d0AOCHbZNJ9p0LyjGFEEKItCQj4sT1cG77CePsYcyIbPjKPWR3nEvMmGldh9aqQZrXNyVzVOCumx4BYMKq/mgdWtfAIm15a3ZGh2fBcXI7rvVf2B3nXzmdijdeU2TPDnv3wrARWp6vQogbklz5CiGC4pedX3Po7B6yhmfngbJt//qG1oTNeQ3Hye2YkTlIbfoeuCJsyai1ZsZMTbv2mr37IHs2GD1C0e4ZA6dTGkHi2imlePYZxWPNrc+Hj9TM+inEiovIbKQ8/DGBfLeiPGeJ+LYtxpEN133Y6gXvomCWm0jynmXWtilBCCqEEEKkHa8/9cKIuLpF77c5jchwtIlr5XgAfJWeBFe4zYEulpys+cl6evNAs/Spb56q9DIuRxjrjixl1aEF6XJOESIi4vDU6gqAe+loVOIxmwP9u+zZFX37KBwGzJkLM7+zO5EQQqQ/aQYJIa6bN+Dh07UjAHisfBciXFEXvudaPQnXtp/QhpPUJqPRMXltyZiYqHn9Dc3wURqvF6pXg48/UtxWSZpAIjiUUnTqoHj4QdAaBg3VzJ4TYg2h8FhSHpqAv2A1lDeJiG/bYRz/47oOaSiDh2+2xkJ+u/lD/KYvGEmFEEKINLHq8F8j4srkus3uOCKDcexZiCN+J9odha/C43bHucScXyApCQoUgMrp9PTOHV2ApqWfAmDCqgGY2kyfE4uQ4L+lOYE85VHeJMLmD7A7zn+qWEHx3Pk9X99+T7N1a4jVa0IIkcakGSSEuG6ztn3G8aRDZI/MQ5PST174umPfb7gXW00ib71XMPPbU3Bv2qxp01azYBE4HNCpg2LoIEVcnDSCRHAppejaWdGsqdUQGjhYM2duiBUYrkhSm475a4XQtGcwTu64rkPeVfxhsobn4HjSIRbu+T5IQYUQQojgW3T+/1O3F20iI+LE1dEa94rzq4LKPwbhsTYHupjWmunnR8Q92FRhGOlX6zxeoSuRrhh2ndrEgt0z0+28IgQYDjx39UMbTpw7f8Gxc67dif7T449CnVrg81n7B509G2L1mhBCpCG5+hVCXJdUf/L/2LvP8Cqqro3j/z2npoH03qUjIF2q9I6IXewVEcWGIAgCgvCqj10EVEQFe6WjoEjvvQvSOwESSk6d/X4YwMcHCMUkM0nW79OEOeXmunJyzTpr9tp8septALpWewqf2xoBp5L24J/8DEqbhCvfSLjanRmezTQ1n4/XPP6EZv8BKFwYRr6vuOO2jC2ORPailOKZnopOHcE0Ycgrmpm/OazA8MaRcuMoogWqoALH8P/4KOrEwSt/ObefzpUeAODbtR/I/G0hhBCOZI2ImwZAk5IdbU4jMhtjzzJce1egXV5rRJzDrF4DW/8Cnw/atMnY987pz82t13QH4JPlwwlHQxkbQNjKzFeecC2rFvD9NgSCzt5HVClF3z6KwoVh/wEYMkxjmlK/CCGyB2kGCSH+lYkbPuVIykEKxhejbbnTDZ9wCv4JT6ACSUQLVCHY/CVQGdt8SUzUPPu8ZtSHmqgJzZvCmNGKihWkCSTSn2Eonnta0aGd1RAaPETz2yyHFRi+BFK6jMbMVQrj+D78P3aD0MkrfrmOFe7D54phS+IaVu9fkIZBhRBCiLSxbO9sToVPyIg4cUW8p/cKilTqjI7Pb3Oac/3wo3Wt2aoF5EjI+JrnpsqPkCsmH/uO72DKZtlHMrsJ1X0MM2dxjBMH8M590+44F5WQoBgySOH1wPwFMP5LuxMJIUTGkGaQEOKKBSKn+HrN+wB0rf40HpcXtMb360u4Dm3AjMlNoNM74PZlaK75CzT3PaRZstS6M65PL8XAAYr4eGkEiYxjGIrnn1O0awNREwYN1vwx22ENoZhcpNw4CjMmN65DG/BPfgbMyBW9VE5/blpcfTMAP67/KC1TCiGEEGli9vbTI+JKdpARceKyGIc24942G60MQqdXQDjJ4URrJDZAl8721Dwxnjjuqv4MAONWvkFK+MpvMhKZkMdPsMVL1uGqLzF2L7E50MWVK6t4uqf1efnwY83yFQ6r1YQQIh3IFbAQ4opN2vgZxwKHKRhfnJZX3wKAZ8XneDZORCsXwQ5vohMKZVielBTN62+YPP+C5uhRKF0KPhql6NBeoTJ4ZZIQYDWEevdStG5lNYQGDNLMmeusIkNfVYxA5xFotx/3ttnWaIcrHPN2Y6UHAZi/cxr7j+9My5hCCCHEvxKOhpi/czoAjUq2tzmNyGw8S60bXSJlW6FzlbA5zbkmTYZoFKpUhrJl7at72pe/i8IJJTmacogf1n1oWw5hj2iJ+oSr3IRC45/eD8Kn7I50UR3aQ9vW1jSHgYM1hxOdVasJIURak2aQEOKK/PeqoDur9cRteDB2Lcb7x6sAhJr0IlqsTobl2bBR88Ajmp8mWD/fejN8OFJRqqQ0gYS9XC5F396Kli2sIr3/QM3c+c4qMsxC1Qi0fRWNwrP6azzLxl7R65TMVYEahRtjapOfN4xJ25BCCCHEv7Bi31xOhpLJHZOfSvlr2x1HZCIqeQ/ujVMACNd+yOY054pEND9PsK4t7VoVdIbb8HBvjecB+GbtCI4Hj9maR2S8YJPemAmFMJJ24Z3j/HFxSimefVpRpjQcOWo1hCIRZ9VqQgiRlqQZJIS4IpM3jeNoyiEKxhej5dW3oI7vwz/paZSOEq7QkfC1GbOpaiSiGfuZplt3za5dkC8vvPm64skeBj6fNIKEM7hcin59FM2bQiQC/V/SLFjorCIjWrYloSZW8e6d8zquHfOv6HW6VH4YgCmbv5DxIEIIIRxjzvZJADQs0Q6X4bI5jchMPMs+RekokeL1MAtUtjvOOebOg0OH4aqr4PomdqeBpqU7UzJXBU6Gkvl27Ui744iM5ksg2OplALwrx+HatdjmQBfn9yteHqSIjYWVq6yRcUIIkVVJM0gIcdmCkRS+Xv0eAHdU64lHa/wTnsRIOUI0X0WCLQdBBoxl27NH06On5qMxmqgJzZrCp2MUtWtJE0g4j9ut6N9PcX0TCIehX3/NosXOKjTCNe4lXPlGlDbxT34GlbT7sl+jTtHmFMlRmpOhZH7Z8k06pBRCCCEuT9SMMG/HNAAalexgcxqRqaQcxbPmO8CZq4IAfvzZup7s2B68XvvrIEMZ3F+jNwA/rBvN0ZRDNicSGS1aogHhqrcB4JveF0LOv0GseDFFn+etz8/4L2HuPGfVaUIIkVakGSSEuGxTNo3nSMpB8scVoVWZW/DNHIzrwFq0PyeBTu+AJyZd319rzaTJmvse1KxdB3Fx0L+vYtAARY4c9hdAQlyI260Y2F/RuBGEwvBCP82SpQ4qNJQi2PwlogWqoAJJ+Cc8AeGUy3oJQxl0rmRtrPzT+o8xtZkeSYUQQohLtq/GRWIAACAASURBVGr/ApKDR8jpz03VgvXsjiMyEc/KL1CRFKL5KxItXt/uOOfYvkOzbDkYBtzQ0Tl1UP3ibSiXtxqByCm+On0Tochego17YeYogpG8x9qTNBNodr3ilpus4yGvaPbsdVCdJoQQaUSaQUKIyxKKBPhqjXVBf2e1nsSs+wHPuh/QyiDQ/j/onEXT9f2PHtP07a8Z/pomJQDVq8GnHytat1KoDFiNJMS/5XZbjctGDayGUO++mmXLHVRouH0EOr2DGZsH16GN+H4dAPry8rUuezuxngR2JW1h6Z5Z6ZNTCCGEuESzt08EoEHxdrgMt81pRKYRPoV3xTjrsPZDGTL54HKd2Suo/nVQsKBz8imluL9GHwAmbBzLoZN7bU4kMpw3jkCb4Whl4Fn/E+4NE+1OdEm6d1NUqQwnTsJLgzThsIPqNCGESAPSDBJCXJYpm8eTeGo/+eKK0DauHL7fXwEg1PAZoiUapOt7L1ioufd+zZy54HbDY48q3n5DOarwEeJSeDyKwQMV9a+DUAief0GzYqVzCg2dUIhAhzfRhhvPxkl4Vnx2Wc+P9cTTptwdAPy47sP0iCiEEEJckqgZZe72KQA0Ktne5jQiM/Gs/QEVOIaZsxiRsq3sjnOOYFAz7Rfr+IZOzquHahW5nmsK1CMcDTJ+5Vt2xxE2MIvWIlSvOwC+mYNQx3bZnOjiPB7FwAGKhATYuAlGjnZOjSaEEGlBmkFCiEsWigbPLvO/s/x9JEzphTIjhMu1IVzrgXR730BA8/qbJr36aI4chZIl4cMPFF3vULhczit8hLgUHo9iyCBFvboQDEKvPppVq51TbJhFaxNqYs17987+D8b+NZf1/M4VH0ShWLLnd3Ye+zM9IgohhBAXte7gYo4FDpPgvYprCze0O47ILKJhPMs+ASBU635w4IqyP2bD8eNQoADUqWV3mnMppXigprU6aOrmL9ibvMPmRMIO4bqPEi1SExU6iX/KcxAN2x3pogoWUPTrY33P8PW3MHe+c2o0IYT4t6QZJIS4ZDO2fMfhU/vIE1OAzuvnYpw8TDRPWYKthqTb2IQNGzX3P6z56Wfr51tugo9HKcqWlSaQyPy8XsXQwYo6tSEQgOee16xe45xiI1y9K5GyrVBmGP/kZyB4/JKfWzhHCa4r3hqw9g4SQggh7DB7+yQA6pdojdvw2JxGZBbuzdMwkvdixuYhUulGu+Oc14RJ1jVj+7bOvUHumoL1qFWkKVEd4fOVr9sdR9jBcBNo+yralxPX/tV4579rd6JL0rCB4tabreNXhmsOHHROjSaEEP+GNIOEEJckakb4arV14XaHrzQx+1ejfTkIdHoXvHFp/n6RiGbsZ5puj2t27YK8eeHN1xU9nzDw+ZxZ7AhxJXw+xbAhilo1ISUAzz7voBVCShFo+bK1+WvS7sveP6hL5YcA+GXLN5wIJqVXSiGEEOK8TG0yZ/tkABqVkBFx4hJpjWeJdSNL+Nq7wOO3OdC5du7UrFwFhgHt29mdJnX317RWms/c+j07jm22OY2wg85RmECrwQB4lnyEa8d8mxNdmm6PKMqXg+RkGPSyJhJxSI0mhBD/gjSDhBCXZPb2Sew9vp0c7ji6bN+ARhFo9xo6V4k0f689ezQ9emo+GqOJRqHp9fDZGEXtWtIEElmTz6cYPlRRswakpFgrhBzTEPLnIND+P9b+QZun4V7z7SU/tVrBBpTOVYlA5BRTN3+RjiGFEEKIc208tJzEU/uJ9cRTo0gTu+OITMK1fQ6uw5vQnljC1e6wO855TZxsXSfWqwMF8ju7RiqftzoNirfF1CafLn/V7jjCJtGyrQhXvQ2Fxje1N+rkIbsjXZTXqxj8kiI2FlavgTFjHVKfCSHEvyDNICHERWmt+XLVOwDcehJiUYQaPEm0VOM0f59JkzX3PaRZuw7i4uDFvtYFWI4czi5yhPi3/H7F/73y9wohJzWEzELVCDV4CgDf769gHLq0uzqVUtx4enXQzxs+IWpG0y2jEEII8b9mb5sIQL1irfC6fDanEZmFd8lHAISr3gr+nDanOVcopJk6zTru1DFz1Ej31XwehWL29kn8mXh5+1CKrCPYpA/RvOUwTh3GN+V5yAS1QZEiit7PWZ+zz8fDkqXOqM+EEOJKSTNICHFRc7dN5a+j64nVBrcE3ESubkG4ziNp+h5Hjmj69NMMf02TkgLVq8GnHyvatFKodNqPSAinOdMQql3r74bQylXOKDjCte4nUrIRKhrEN7UXREKX9LympTuT4L2K/Sd2snTP7+mcUgghhLBorZmzwxoR17hkB5vTiMzC2LcK1+4laMNNuMa9dsc5rznz4FiSNUa7Xl2701yaUrkq0rS0tffSJ8uG25xG2MbjJ9DhTbQnFveuhXgXfmB3okvSvJmiU0drWvbLQzWJic6oz4QQ4kpIM0gIkSqtNWMWWhfsNwY9JOQqS6DNcFBp9+fjj9mae+7XzJsPHg9076Z4+w1FwYLSBBLZz5mRcXVqn24I9dasWOmAgkMZBNsMw4zNg+vwZrzz376kp/ndsbQuextgrQ4SQgghMsLmxFUcOLEbvzuW2kWb2h1HZBJnVgVFKnRAJxS0Oc35TZhoXRe2bwtud+apl+6t0QtDuVi8eybrDiyxO46wic5dmmCLgQB4Fo7AtXOBrXkuVc8eitKl4MhRePkVjWk6oD4TQogrIM0gIUSq1hxYyOp9i/BquN3MQ0qnd8EblyavfeKEZsgwk34DNMeS4Ooy8NEoxZ23K1yuzFPYCJHWfD7FsCFWQygQgF59NMtX2F9w6Ng8BFue3vx16ScYuxZf0vM6VrwPgCW7f2Nv8o70iieEEEKcNXvbJADqFG2Ozx1jcxqRGagj23BtmQlAqPaDNqc5vz17NMuWg1LQoV3mqpeK5ChF67K3A/DJclkdlJ1FKnYkXOVma/+gKc9niv2DfD7F4IEKvx+WLoNxsh2qECKTkmaQECJVX83rB0D7kJf4tv9B5y6VJq+7bLnmngc006aDYcDdXWH0B4oypTNXUSNEevnfhtDzLzijIRQt04xwlZtQaPzTX4DgiYs+p0iOUtQu0hSNZuLGsekfUgghRLamtWbOdqsZJCPixKXyLv0YhSZSuik6z9V2xzmviZOta8HataBQocxXN91V/Wk8hpeV++axfO8cu+MIGwWb9vuv/YN6ZYr9g0qWUDzT0/rcfTTGOfu7CiHE5ZBmkBDigrZs/J7FSesxNNxa6RGiZf79iI2UFM1b75r0fEZz8CAULgzvva149GEDrzfzFTRCpKczDaG6df5eIbRsuf1FR/D6FzBzFsVI3otv1rBLes4NFe8HYNqfXxGMpKRnPCGEENncX0fWs/f4drwuP3WLtbA7jsgE1ImDuDdMACBU+yGb05xfJKKZMtU67tQhc9ZNBeKL0r7C3QCMWTYMre2/rhU28fgJdHjr9P5Bi/AuHGF3okvStg20bgmmCYNe1iQlye+wECJzkWaQEOK81MnDfDO3DwCtYkqQr3Hff/2aq1Zr7n9I89331s83dISxHymqXpM5ixkhMoLPp3jlZUW9uhAMWiuEli6zuejwxhFoPQyNwrPuB1xbZlz0KbWLNqdAfFGOB4/y+18/ZUBIIYQQ2dXs06uCahdpSownbcYbi6zNs/xTVDRMtHANzCI17I5zXvMWWPuV5MoFDerbnebK3Vm1Jz5XDBsPLWfhrl/tjiNspHOXIthiEACehR/g2jHP5kQXp5Ti2acVxYrBwUMwdLiWpqYQIlORZpAQ4lzREAcmPMzv6jgA93UeB+rK/1wEg5p3R5j06KnZvQfy5YX/vKro9axBbKw0goS4mDMNoevqOachZBatRbjWAwD4fx2AOnk41ce7DBcdK9wLwIQNn0jRJIQQIt2cHRFXSkbEiUsQSMaz+mvAuauCACZMtK6d2rUBjyfz1lC5Y/PTuZK1J9Mny4ZjatPmRMJOkYodCF9z69/7B504aHeki4qNVQweoPB6YP4C+OY7uxMJIcSlk2aQEOKftMY3czBfHluGVlC/YEPKFqlzxS+3dp3mvoc0X38DWkO7tvDZJ4q6dTJvASOEHbxexdDBivr1IBSyGkJLltrbUAnVf5Jo3vKolKP4fh1gfchT0bbcnXhcPjYnrmbjoRUZlFIIIUR2suPYZnYm/Ynb8FC3WEu744hMwLPmW1ToJNE8ZYiWbmJ3nPPav1+zeIl13LF95q+jbqv6OLGeBP46up7Z2ybaHUfYLHj9C0TzVcBIOYJ/ynNgRuyOdFFlyyp6PG59Fj8YpdmwUW50E0JkDtIMEkL8g2fFZySv+5bp3hAAt9XsfUWvEwxqRow06f6EZtcuyJsXXhuu6NvbICEh8xcwQtjB61UMGayof53VEOrd1+aGkNtLsO2raJcH91+/4940JdWH5/Tn4fpSnQD4ecOYjEgohBAim5m3YxoA1xZqSLw3h81phONFw3hWjAMgXPOBfzUNIT1NmqLRGmrWgKJFM38tlcOXi1uqdAPg0xWvEc0EX/6LdOTxE+jwBtoTi2v3ErwL3rc70SW58Qa4vjFEIjBgkObECWkICSGcz5lXOkIIW7i2zcb7x6v84AsSUlAxX00qF6h92a+zbr3mgYc1X3xlbazYprW1Gui6epm/cBHCbl6vYsggRYP6pxtCL2gWL7Gv8DDzlSNU9zEAfL8PhVNHUn18pwr3A/DHtgkcS0l9tJwQQghxuebtsG5MaFCinc1JRGbg3jwd48R+zNi8RCo4c6xgJKKZfPp+m6ywKuiMLpUfIYcvN7uStjBjq8zZyu50rlIEWw4GwLNoFK7tmWP/oN69FIUKwr598Nob0gwSQjifNIOEEACoxK34Jz9LUEf5Ptb6t5urPHpZrxEKaUZ9aPJYD82OnZAnNwwfqnjxBYMcshpIiDTj9SpeHni6IRSGPn01ixbbV3yEaz9ING85a1zcrGGpPrZCvmspl6cqYTPEL1u+yaCEQgghsoNDJ/ey6fBKFIr6xVvbHUc4ndZ4ln0CQLj6HeD22hzo/BYuhkOHIWcOaNzI7jRpJ86bwG1VHwfg8xX/IRwN2ZxI2C1SoT3hqreh0Pin9kIdP2B3pItKSFAMHKBwGTDzN5gxUxpCQghnk2aQEAJSjhLzU3dU6ART8xfimBmgQHxRGl7GHZV//ql5uJvm8/HWaqAWza3VQA0bSBNIiPRwZoVQowZWQ+iFfpqFi2wqPlxegq2GoJWBZ+MkXH/9fsGHKqVoX+EeACZvGiebBgshhEgz80+PiKuUvxa5Y/PbnEY4nbF7Ca6D69EuH+Fqd9gd54ImTrKu79q0sa7/spIbKt5P7pj87D+xiymbx9sdRziAtX9QRVTKUfxTns0U+wdVrqS49x7rs/mftzSHDklDSAjhXNIMEiK7i4bxT3oGI2kn0RyF+Mpv3ZF1Y6WHcRnuiz49EtGM/UzzUDfN1r/gqpwwZJBiYH+DnDmzVrEihNN4PIrBAxWNGloNob4v2tcQMgteQ7jGfQD4ZgyC4IkLPrZZ6RuJ9cSzJ/kvVu5z/ggIIYQQmcO8nVYzqH6JNjYnEZmBd/mnAEQqd4aYXDanOb9DhzQLFlrHWWlE3Bl+dyxdqz0FwBcr3yIYSbE5kbCd20egw5tobxyuPcvwzn/X7kSX5J67oHw5OH4chr+m0VoaQkIIZ5JmkBDZmdb4ZgzEvWsh2hPL3OseYEfyVmI98bQtd+dFn75tu+bR7pqPxmiiUWjSGD4fq7i+SdYrVIRwKo9HMfglReNGp1cIvahZsNCe4iNUvwdmzuIYJw7gm/P6BR8X44mjWZkuAEza+FlGxRNCCJGFHQ8eY9W++QA0KN7W5jTC6dTRbbi2WiuZQzXusTnNhU2eak1dqFYVSpbImjVW2/JdKRBflMSUA0zYMNbuOMIBdK4SBFoNAcC7eDSubXNsTnRxbreifz+F1wOLFsPPE+1OJIQQ5yfNICGyMc/iUXjW/YBWBoH2r/PN7kkAtC3XlThvwgWfF41qvvhK8+DDmk2bIT4eBvSzRlblypU1ixQhnOy/G0Lh0w2hWX/Y0BDyxPy98evqrzF2Lb7gQzuUt754mbdjKkdTDmVIPCGEEFnXol0ziOoIJa8qT9Gcpe2OIxzOs/xzFJpI6evRuZ35+xKNaiZNtq7nOnbIujWW1+XjrurPAPDVmnc5Fb7w6nKRfUTLtSFUzbpB1T/1edTx/TYnuriSJRTdHrE+q++N0OzeLauDhBDOI80gIbIp94aJ+Oa9DUCwaT+25CrIsj2zMJTBjZUevODzdu/W9OipGTFSEwrDdfVg3FhFq5YKpbJukSKE07ndVkOo6fUQicCAQZqp0zO+AIkWr0v4mlsB8P/aH8KB8z7u6jxVqJCvBlEdYdrmrzIyohBCiCxo7o6pADS4jD0vRTaVchTPuh8Bzo64daIlS2H/AevGu6ZN7E6TvlpdfStFc5QhKXCEH9aNtjuOcIhQk95E81dCBY7hn/wsRMN2R7qom2+Ca6tDIABDh2uiUWkICSGcRZpBQmRDxq7F+Kb3AyBU834i1e/k+7XWRXfDEu0pmFD8nOdorZk0RXPfQ5o1ayE2Fvr0Urw6TJE3rzSBhHACt1sxsL+iXVtrpMjQYZoffsr4AiTY+DnM+AIYx3biXTTygo/rUP5uAKZsHoepzYyKJ4QQIosJRlJYuuc3ABqWkBFxInWe1d+gIgGi+SoSLVbH7jgXNPH0qqA2rcDny9r1lstwc2+NXgB8s+YDkgJHbE4kHMHtPb1/UDyuvcvxzn/H7kQXZRiKfn0UsbGwZi18+bXdiYQQ4p+kGSRENqMStxIz4QmUGSZSthWhxs9xNOUQM7d+D8DNVbqd85ykZJP+AzXDX9UEAtadLp+NUXRoL6uBhHAal0vRp5fi5pusn994SzPuiwxuCPkSCDZ7EQDP0o8xDv953oddX/oG4rw52Hd8B8v3zs7IhEIIIbKQZXtnE4ikkD+uCFfnucbuOMLJIiE8K8cBEK55Hzi0lklM1MydZx1n5RFx/61JqU6UzlWJU+HjjF/1lt1xhEPoq4oTaDUUAO+Sj3D9NcveQJegYEHFU09Yn9uPxmi2bJXVQUII55BmkBDZiDp5mJgfH0UFk4kWqk6gzf+BMpiw4RPCZohK+WtRKX/NfzxnxUpNl1uSmPUHuFzQ7RHFW/9RFCyYPYoSITIjw1D07KG411p4w8jRmlEfmWidcYVI9OoWRMo0R5kRfDMGwnlW/vjdsbQoczMAkzZ+nmHZhBBCZC3zzo6Iays3KolUuTdNwTh5GDMuP5HybeyOc0FTpkE0CpUrQZnS2eN32lAGj9QZAMCEDZ+wJ3mbzYmEU0TLtSJU/S4A/NP6oI4fsDnRxbVtAw0bWOO7h/2fJhKRhpAQwhmkGSREdhE+hf+n7hjJezBzFiflhvfB4ycYSWHCxrEA3Fz50bMPj0SsL4+ffFqzf79J0aIw8n3FXXcqXK7sUZAIkZkppXj4QYPHHrU+r5+Pg7ff1ZhmxhUiwWb90J5YXHuX4177/Xkf06GC1bGav3MaiaecX9gJIYRwlqgZYcHOXwBoUMK5X+4LB9Aaz7KxAISvvQtcXnvzXIBpaiadHhGXXVYFnVGryPXULtKUiBnmo6VD7I4jHCTUuBfRApVRgSR8v/SDDLzJ7UoopXjuGUV8PGzaDF99Y3ciIYSwSDNIiOzAjOKf8jyuA2vQ/pykdBkJsbkBmLH1e5ICRygQX5QGp2esHzio6dFT8/k46xqrS2cfY0YrKlbIXsWIEFlB1zsUzz2tUAq++yFj70zTCYUI1X8CAN/s11EnD5/zmFK5KlI5f21MHWXa5i8zJJcQQoisY+2BxSQHj5Dgy8U1BerZHUc4mGvXQlyHN6HdMYSr3mp3nAtavgL27LX2aG3e1O40Ge+ROgMwlMGc7ZNZe2Cx3XGEU7i9BNq+inb5cO+Yh2fVF3Ynuqi8eaxpDQBjPtHs2OHsBpYQInuQZpAQ2YD3j//DvXUm2uUl5YYR6FylANBa8/26UQDcWOlhXIabBYs0DzykWbsO4uNg8EDFy4PiiY2VRpAQmVXnGxQvvqBwGTB1OvTppzl1KmOKkfC1dxHNXxEVTMb7x6vnfUz78tbqoCmbxxE1oxmSSwghRNZwZkTcdcVa4jLcNqcRTnZ2VVCVLuDPaW+YVEycZF2jtWoBMTHZrwYrlasibcreCcDIxQMzdMyxcDaduzShxs8B4J39Ouqo80cJtmkNdetAKAzDXtVEo/L7LISwlzSDhMjiPMs/w7vC2osj2GYYZpEaZ88t2fM7O4/9Sawnnpal72DUhya9emuSkqF8Ofj4Q0Wz67NfASJEVtS6lWLoEIXPBwsXwRNPaY4cyYBixHATbDEYrQw8Gyfi2jHvnIc0KdWRBO9VHDixm2V7ZqV/JiGEEFmC1pp5O8/sF9TO5jTCyVTiVtzbZqNRhK+92+44F3T0mOaPOdZxp47Ztw67r8bz+N2xbDy0nFnbfrY7jnCQcPU7iRS/DhUJ4J/aB8yI3ZFSpZSi17OK2FhYuw6+/8HuREKI7E6aQUJkYa4/f8U7azgAwUbPEin/zyL5+7XWqqCmxbrS74V4Ph9v/XuXzvDBe4oihbNvASJEVtSwvuKdNxVX5bRmV3frodm5K/0bQmbBKoSrWXd4+mYOhnDgH+d97hhaXn0LABM3fZbueYQQQmQNW46s5cCJ3fhcMdQs0tjuOMLBvMs/BSB6dXN0rhI2p7mwadOtDefLl4NyZbNvLZY7Nj+3V+0BwMdLhxKKBC7yDJFtKINg66FoXwKu/avxLB5td6KLKlhA0b2b9Xke9ZFmzx5ZHSSEsI80g4TIoox9q/BPfR6FJlz1NsK1HvzH+b+ObGDZ3j9QGMwY/SArV1lzqQe9pHjmKQOvN/sWH0JkZZUrKT54X1G4MOzdC489rlm9Jv0LklCDnphx+TGO7cS7eNQ559tXsO7SXbRrBodP7U/3PEIIITK/+adHxNUu2hS/O9bmNMKxTh3Bvd5aXRKqeZ+9WVKhtT47Ii47rwo646bKj5IntiD7T+zipw1j7I4jHEQnFCLYrD8A3oUfYBxYZ3Oii+vUAWpcC8EgDH9Ny/hDIYRtpBkkRBakju3C/1N3VCRApGQjgs1eBPXPguLMXkHRHe1J2luUMmXgo1GK5k2l8BAiqytWVDHyPUWF8pCUDD2f0Uz7JZ0LEl88wWb9APAs+RiVuOUfp0tcVY7K+etg6ii//Pl1+mYRQgiRJcw93QyqX7yNzUmEk3lWfYmKhogWuAazcI2LP8Emq1bDzl0Q44eWze1OY78YTxwP1OwDwPhVb3Es5bDNiYSTRCp0IFyuDcqM4J/a+5zJA05jGIrevayR3StWwtRpdicSQmRX0gwSIqtJOUbMj49ipBwhmq8igQ5vwv9spnvw+AF+2WwNqw2ve5TmzWDU+4rixaQRJER2kTu34t23FE0aQzgMQ17RjPrQxDTTrykUvbolkdJNUWYY/4yB8D93xLUv3xWAqZu/wNRmuuUQQgiR+e1N3s62oxswlIt6xVvaHUc4VSSIZ+UXAIRr3XfODXJOcmZVUPNmEBvr3JwZqUWZWyiTuwonQ8mMWTbc7jjCSZQi2HwAZlxejCNb8c570+5EF1WksOKB+6zP9nsfaI4ek9VBQoiMJ80gIbKSSIiYCU9gHN2GGV+QwI0jwRv3j4ecOKF5asQnaBXCPFiTR26sycD+Cr9fCg4hspuYGMXLAxV332X9/Pl4ePElTUpKOhUmShFs9iLaHYNrz7KzI1vOaFSyA7GeBPYd38HKffPSJ4MQQogsYd7pVUHVCl5HDl8um9MIp3JvmIiRcgQzoRCRsq3sjnNBycma32dZxzIi7m8uw0WPekMBmLp5PJsOr7Q5kXCUmFwEW1m/H97ln+HaudDmQBd32y1QpgwkJ8N7I6QZJITIeNIMEiKr0Ca+6X1x7VmK9sYRuHEUOj7/Px6y/4DmsZ6nOJBgbdB+W/Vu3N1VoRx8h5wQIn0ZhuLRhwxe7KvweGD2HOj+hObgwfQpTnSOwoSu6w6Ad/ZrkHLs7LkYTxzNy3QBYOqm8eny/kIIIbKGeTutGTsNSrS1OYlwLK3xLB8LQPjau8+ZluAk03+FUNj6krhiBbvTOMs1BevSvMxNaDTvL3xRVo+Lf4iWaky46m0A+Kb3RQdP2JwodW63ovdzCqVg+i+wZKk0hIQQGUuaQUJkEd557+DZNBltuAl0fBszX7l/nN+0WfNod81O4weU/wh5fMV4qJUUz0IIS5tWinfeVFx1Ffy5BR7uplm5Kn2Kk3CNe4jmKYORcgTfvLf+ca5dOWtU3NwdU0gKJKbL+wshhMjcjqYcYt2BxYDsFyQuzLV9Lq7ErWhvHOFrbrY7zgVprZkw0brm6tRBbtQ7n4dr9yfGHcf6g0uZseU7u+MIhwk27oWZsyjG8X2Yv7xsd5yLqlRR0aWzdfz6G5pgUBpCQoiMI80gIbIA95pv8S4eBUCwxUCiJRr84/yCRZoeT2oSE01iqo0G4NbqD+Ny8N1xQoiMd00VxYcfKEqXgsQj0PNpzfgvddrvI+TyEmw2AAD36m8w9q0+e6ps3qpcnecawmaIGVu/T9v3FUIIkSUs2PkLGk25vNXIH1/E7jjCoc6uCqpyM/gS7A2TinXrYdt28PmgVQu70zhT3tiC3FX9aQA+XPoyJ4JJNicSjuKNI9jSagKZiz/FtXORzYEu7pGHFPnywp69MP5Lu9MIIbITaQYJkcm5ts/FN2MQAKG63YhUuekf53/5VdOnryYlABWun0Uk9k9iPQm0KXuHHXGFEA5XqJBi1AhFqxYQNeGDUZq+/TXJx9O2IWQWq0O4YicUGt/MQWBGz547szpoyqZxaC13ygkhhPinuTumANCguKxyF+dnHNqMe8d8tDKsEXEONmGSda3T7HpISJBVQRfSpfIjFMt5flvj3AAAIABJREFUNUdTDvHh0iF2xxEOEy1e7+9xcb/2h/ApmxOlLi5O8UQP6/M+brxmz16peYQQGUOaQUJkYsahjfgnPYXSUcIVOxKq/+Q/zn/znWbwUE00at1llquutSqoffmuxHmde3ecEMJeMTGK/v0Uzz1j7SM0dx48+Ihm46a0LVJCjXuhfQm4Dq7Hvfrrs//erEwXfK4YdhzbzIZDy9L0PYUQQmRup8InWLF3DgANZb8gcQFnVgVFyrZC53Tu6rETJzQzf7OOO3aQRlBqPC4vTzd4DYDJmz5n9f4FNicSThNs9BzkLIKRtAvv3Lcu/gSbNW0CtWpa+4W9/a40g4QQGUOaQUJkUur4fvw/dkOFThIpWodgyyHwX/Olx36meec964Li5pvgzm4bWLFvNoZy0bnSg3bFFkJkEkopOndSjHxfUagQ7NsHj/XQ/PCTTrPVOjouL8EGTwHgm/cW6uRhAOK9OWhSqiMAkzeNS5P3EkIIkTUs3jWTsBmiSI7SFL+q3MWfILIddeIg7g2TAAjXvM/eMBfx60wIBqFkCbimit1pnK9qwetoV+4uAN6c14tQJGBzIuEovnhcN7wOgGfFOIw9y20OlDqlFE8/qXC7Yf4CmDtfGkJCiPQnzSAhMqPgCfw/dsM4cQAzd2kCnd4BtxewNiD9+BOTj8ZYFxIPPaDo2UPx4wZrVVCjku0pEF/MtuhCiMylfDnFx6MVDRtAOAxvvKV5/gXN4cS0KVYiVW8jWqAyKngc7+zXzv5729Oj4v7Y9jMnQ8fT5L2EEEJkfvN2TgOsVUFKyUoKcS7P6q9RZpho4WsxC1WzO84Faa2ZMNG6nurUQcnv8yV6pHZ/csfkZ1fSFr5Y/bbdcYTDGGWbEq7cBYXG/0s/CDu7YViihOL2W63jt9/RBIPSEBJCpC9pBgmR2UTD+Cc9jevwJszYPKTcOAr8OQGroPjwY80nn1oP7d5Ncd89iqMph/ht648A3Fy5m13JhRCZVI4ExbAhiicfV3g9sGAh3Hu/ZtYfaVCsGC6CzV9Co/BsmICxazEAVQrUoXjOsgQiKfz+14///n2EEEJkeuFoiEW7ZgDQQEbEifOJhnCv/gbA8XsFrVsf5c8t4PFA61Z2p8k84n056VFvKABfrnqXbUc32JxIOE2wSW/MuHwYR7fjXfCu3XEu6t67Ffnzwb79MO4LaQYJIdKXNIOEyEy0xjdzMO4dc9FuP4HOH6BzFj19SjPqQ81npycq9eiuuPN26+6yCRs/IWyGqJy/NhXz17ArvRAiE1NKcestio9GK8qVhaRkePElzcuvmCQf/3dFi1nwGiJVrVvifL8NhmgIpRRty90JwJTN4/91fiGEEJnfyn3zOBU+Tu6Y/FTIJ9e04lzuP3/FOHUYMy4/katb2B0nVd99b61YuL4J5Mwpq4IuR6OSHahfvA1RHeGNuc8RNaN2RxJO4s9BsMUgADzLxmLsW21zoNTFxCieeNz6GzD+C9i9WxpCQoj0I80gITIRz5IP8az9Do0i0O51zILXnD03crRm3BfWcc8nFLffal1MBCMpTNhgLRW6qcqjGZ5ZCJG1lC6lGDVCcfddYBgw/Re4+z7N3Hn/rmgJNnwaMyY3rsSteJZ/BkDLq2/BbXjYfHgVWxLXpkV8IYQQmdi8HVMBqF+8DYaSUlacy7PSKojCVW8Fl8fmNBd26pRm8tQgAB3bSyPocimlePK6YcR64tlwaBkTN461O5JwmGiZpoQrdERpE98vfSESsjtSqq5vArVrQSgMb72bdnu0CiHE/5IraCEyCffGyfjmvglAqGlfolc3P3tu3Bea8V9ax0/3VNxy098Fxa9bviM5eISC8cVpUFzGaQgh/j2PR/HoQwYj3lUULwaJidCnn2bQEJNjx66wcPHnJNS4FwDeBSNQyXu5KiYv9Yu3AWCqrA4SQohszdQm80/vFyQj4sT5GAc34Nq7HG24iVxzi91xUjXzNzh1CooWhWur250mc8obV4gHa/UD4OOlr7D/+E6bEwmnCTZ9ATM2D67ErXgXjbA7TqqUUjz9pMLthoWLYO48uxMJIbIqaQYJkQkYu5fgm/4CAKEa9xC+9q6z5yZM0owcbX35+vhjiptu/LsRZGqTH9aNBqBL5YdxGa4MTC2EyOqqVFZ88pHizjusVUK/zoC779f8PuvKGkKRSjcQLVITFUnBN2sYAO3KdwVgxtbvCUZS0iy7EEKIzGXjoeUcSTlIrCeB6oUa2B1HONCZVUGRsi3R8fltTpO6CZOsa6VOHRRKycqgK9Wxwr1UKVCXlMhJXpvzFKY27Y4knCQmF8FmAwDwLP4I48A6mwOlrnhxxR23Wcdvv6sJBGR1kBAi7UkzSAiHU0e2EfPzE6homMjVLQg1fv7sud9naV5/w7pAuLsr3HHbPwuJJbt/Y2fSn8R6EmhT7o4MzS2EyB58PkX3Rw1GjVCUKglHj0L/gZp+A0wOHLzMAkYpgs0HoJUL95YZuP6aRY3CjSkQX5SToWRmb5+UHv8FIYQQmcCZEXF1i7XA4/LanEY4TiAJ90brOiFcvavNYVL355+aDRvB7Ya2re1Ok7kZyuD5Rm/jd8ewav98fl4/xu5IwmGi5VoRLtcGpaP4pveFqLPHxd1zlyJ/fth/wJoAI4QQaU2aQUI4mDqVSMyPj6CCSUQLViXQ9lU4vbpnyVLNoCEa04ROHeGRh869o+y7taMAaF++K7Ge+AzNLoTIXipWUHw8WnHv3eAy4I/ZcNc9mi++0kQil17ImHnLEa5xLwC+34diREK0LXcnIKPihBAiu9JaM/d0M6jB6fGhQvw3z7ofUZEA0bzlMQvXsDtOqiZMtq6LmjfzkiuXrAr6twrnKMkjtV8C4KOlQ9mdtNXmRMJpgs36o2Ny4Tq8Ge+iUXbHSVVMjKJnD+vvwvgvYfduaQgJIdKWNIOEcKpwCv6fumMk7cbMWZRA5xHgiQFg3XpN3xc1kQg0vR6eferc8QJbE9exYt8cDOWic6UHbfgPCCGyG69X8fCDBh9/qLimCqQEYMRIzf0PaVauuvRCJnRdd8z4ghhJu/EuHkXrsrdjKIPV+xeyK2lLOv4PhBBCONHOY5vZk/wXHpePOsWaX/wJInvRJp6V1gaq4ep3goPHrgUCml9/tY5v7uKzN0wW0rHCvdQo3JhgNIVX5/QkakbtjiScJDY3wWb9AfAsHo1xcIPNgVLXuBHUqQ3hMLz1rkZraQgJIdKONIOEcCIzin/q87j2r0b7cpJy42h0bB4Atm3X9OqjSQlA7VrQv6/C5Tq34PlhvbVXUOOSHSgQXyxD4wshsreryyjef0fxQm/FVTlh23bo0VMzZJjJkSOXUMx44wheb+2T5lnyMfmDQWoXbQbAlE2yOkgIIbKbM6uCahRuJKvdxTlc2+diJO1E+xKIVOxgd5xU/T4LTpyEQoWgXl2P3XGyDKUUzzZ8g1hPAusPLuXbtSPsjiQcJlKuDZGyrVBmBN/0fhAN2x3pgpRSPN1T4fHAwkUwZ67diYQQWYk0g4RwIO/s13BvmYF2eUi54V107lIAJCZqevXWJCdD5UowdLDC6z23EZR46gAzt/4AwM1VHs3Q7EIIAWAYivZtFV98rriho3WT7rTpcOfdmh9+0kSjqTeFomVbEinZCGWG8c0cTLuy1vz/X7d8Q9jhs76FEEKkrXk7z4yIa2tzEuFEnpVfABCufCN4Ym1Ok7oJk6zrn47tFYbh3BVMmVGB+KJ0rzsYgE+Xv8aWxLU2JxKOopQ1Ls5/Fa5DG/As+dDuRKkqVlRxx23W8dvvaQIBWR0khEgb0gwSwmHcq7/Gu/xTAIKth2EWrQ1YIwX69NPsPwBFi8KrwxSxsecvICZsGEvEDFM5fx0q5HP2zGwhRNaWI4ei17MGo0YoypWz7oZ94y3NI49pNmxMpag5U7C5fLh3LaTBqRC5Y/JzLJDIgl2/ZNx/QAghhK0OntjD5sOrUCiuK97K7jjCYdSxXbi2zQYgXO0Om9Ok7q9tmjVrrb0V20lfM120Lns7DYq3JWyGeGXWYwQip+yOJBxEx+Ul2OxFALwLR2Ic2mRzotTdc5eiQAE4cAA+GyfNICFE2pBmkBAOYuxegu+3IQAE6z9JpEJ7AKJRzeChmg0bIWcOeH24ImfO8zeCApFTTNxoNZNkVZAQwikqVVR8+IE18iA+DjZthkce07z+hkny8fMXN/qqYoTqWn/HYue8TqtSNwIwVUbFCSFEtjF/5zQAKheoQ66YfDanEU7jWfUVCk2kREN0rpJ2x0nVxNOrgurXh7x5ZFVQelBK8UzD18kTU4CdSX8yctFAuyMJh4mUb0ekTHNr+sD0vo4eF+f3K3r2sP5WfPk17NwlDSEhxL8nzSAhHEIl7SFmYk+UGSFcvi3hut3OnvtglGb2HPB44JUhiqJFL1w8zNjyHcnBIxSML0794m0yIroQQlwSl0tx043W6LjWrUBr+GmCNTpu6rTzb44arvUgZq6SGCcP0ynpJABL98ziwIndGR1fCCGEDead3i+oYQlZSiH+RzgFz9rvrcNr77Q5TOqCQc30X63jTh2lEZSecvrz8HzjdwGYtOmzs39DhACs6QMtXkL7c+I6uB7vopF2J0pVo4ZQry6Ew/DWO+evl4QQ4nJIM0gIJwidxP/z46iUo0TzVyLYaqi1wQbw48+ar76xHta3j6Ja1QsXD6Y2+X7daAC6VH4Yl+FK9+hCCHG5cudW9O9r8O5bipIl4dgxGDpc06On5q9t/1PguL0Emw8AoNT6qVTPUx2NZtrmLzM+uBBCiAyVHDzKqv0LAKgv+wWJ/+HeNAUVTMLMUYRoycZ2x0nVH3MgORkKFIA6texOk/XVLNKYW6o8BsDrc5/h0Mm9NicSTqLj8hFs/hIAnkWjMPattjnRhSmleOoJhccDi5fAH7PtTiSEyOykGSSE3bSJf1ofXIc3YcbmIXDDe+CJAWD5Cs1bb1tfjD78oKJl89TvIluw8xd2JW0hzpuDNuWcPTNbCCGura745EPFY48q/H5YtRruf0gzYqTJqVN/N4Wixa8jXL49SpvckJQCwLQ/vyJqRu2KLoQQIgMs3Pkrpo5SOlclCucoYXcc4SRa41lpjY0NV7sDHH4T3ISJ1nVN+7YKl0tWBmWEB2q+QLk8VTkePMors7oTNSN2RxIOEinf9nR9EcU/rQ+EU+yOdEFFiyq6nv565533NCkpsjpICHHlpBkkhM28C0bg3jIDbXgIdHoXnVAIgL37NP1f0kRNaNUC7rnr4q/17doPAOhY4V5iPfHpGVsIIdKEx6Poeodi3FhFo4YQjcIXX8Fd92n+mPN3oRO6vjfaG0+zwwdIcMVw6OQelu39w8bkQggh0tuZ/YIalJDRx+KfjH0rcR3cgHb5CFfpYnecVO3cpVm5CgwD2rezO0324XF56dd0FDHuONYcWMi4lW/aHUk4TLDZi5hx+TGObsM75w2746Tq7q6KQgXh4CEY+5k0g4QQV06aQULYyLX5F7wL3wcg2OIlzMLXApCSonnhRU1SMlQoD717KZRK/Q6y9QeXsfbAItyGh86VHkz37EIIkZYKFlQMG2Lwf6+cLnQOQr/+mgGDTI4d0+i4fIQaPIUPRdugdffv1M3jbU4thBAivQQip1iy+3cAGpSQb9DFP3lWWuNiIxXaQUwum9OkbuIk64vbenWgQH5ZFZSRiuQoxVMNXgNg/Ko3Wblvns2JhKPEXEWw9VAAvCvH4dox3+ZAF+bzKXo+af39+Oob2L5DGkJCiCsjzSAhbGIc2mgtRwZCNe4hUuUmALTWDB2u2boVcueCV15W+HwXLxq+XTsCgOZlbiJvbMH0Cy6EEOmoQX3F52MVd98FLgN++x3uvt9aJRSudjvR/JXoeMr6mzh/x3SOphyyObEQQoj0sGzPbILRFArEF6VM7sp2xxEOok4exr3ZWjUWrt7V5jSpC4U0U62odOoojSA7NC/ThTZl78DUJsP+eJxjKYftjiQcJFqyIaFq1gw23/R+EEi2OdGFNayvqH+dNUnhzbc1WktDSAhx+aQZJIQN1KlE/D91R0VSiJSoT6hxr7PnPhsHs/4AtxuGvqzIfwl3j+1J3sbc7VMAuKVKt3TLLYQQGcHvVzz6kMGoDxSlSsLRo9YqoYFDFYn1XuJq00OliIuojvDLlm/sjiuEECIdzNthXds2KNHuoivkRfbiXvsdygwTLVgVs4CzG4Vz5sGxJMibF+rVtTtN9vV4vSEUz1mWxFP7eXVOT/kSXfxDqPFzmFcVxzixH/+vA8DBvx9PPanwemHZcuumOSGEuFzSDBIio0VD+Cf2xDi+D/Oq4gTavwGGG4CFizQfjbEuPJ57WnFNlUsrfL9bOxKNpk7RZpTMVSHdogshREaqUF7x8WhrlZBhwIyZcHuvKuzKfxs3hHwATN00Xgp6IYTIYqJmhAW7fgWgQXHZL0j8FzOCZ9XXgPNXBcHfI+LatQG3W5qadonxxPFi01F4XD4W757J9+tG2R1JOIknlkDb19CGG/ef03Gv/truRBdUuJDi7q7W35J3R2hOnZI6SAhxeaQZJERG0hrfb0Nx7VmG9saTcsMI8OcEYP8BzeChGq2h8w3Qof2lFQvHUg4z/U/rYuXWa7qnW3QhhLCD13t6ldAIRcmScOQodB3bk3rBgsRo2J38F2sPLLI7phBCiDS05sBCjgePktOfmyoF6tgdRziIa+tvGCf2Y8bkJlLO2Y3CPXs1S5eBUpde24n0Uzp3JbrXHQzAh0uGsGb/QpsTCScxC1Ul1PAZAHyzhmEc2mhzogu783YoUhgOH4YxY6UZJIS4PNIMEiIDuVd/hWfNN2gUgXavo/OUASAc1vQfqElOhgrl4cnHL71Y+HH9x4SiAcrlqUq1gg3SK7oQQtiqYgXFx6MUXe+Ak2YO3l7RmxYhLwBT1o62OZ0QQoi0NG+HtclKvWKtcJ1eQS8EgGfllwBErrkF3F6b06Ru0mTrS9ratay7+YX9OpS/h2aluxDVEQb//jCHT+23O5JwkHDNe4mUaoKKhvBPegZCJ+2OdF4+n+KpntbflG+/g7/+koaQEOLSSTNIiAxi7F2B7/dhAIQaPUO0dJOz597/QLNhAyQkwMsDFV7vpRULJ0PH+WnDxwDcUa2nzFMXQmRpPp/isUcNRryrWGl2oOyBawGYtWMaySlHbU4nhBAiLWitmbtjKgANS7SzOY1wEpW4BfeuhWhlEK56q91xUhWJaKZYv8Z06iA1mlMopXi6wWuUylWRoymHePm3hwlHQ3bHEk6hDAJthmHGF8A4ug3fby/bneiCrquraNwIoia88baWsdlCiEsmzSAhMoA6eRj/xKdQZphI2daEaz149tzM3zTf/WAd9++rKHQZd41N2DCWk6FkiucsS4MSbdM6thBCOFKVyooxow3+cr1G6YiLsDIZ9vZwDidKESSEEJnd5sRVHDq5B787lpqFG9sdRzjImVVB0dJN0TkK25wmdfMWQOIRyJULGtS3O434bzGeOAY2H0OcNwfrDi5h1JJBdkcSThKTy5riogw863/Gve4nuxNd0JOPK/x+WLkKpkyzO40QIrOQZpAQ6c2M4Jv8LMbJg5i5SxNoPdQaHA3s2KEZ/pr15eXdd0H96y69ERSInOL7dSMBuL3qExhKPs5CiOwjPl7x+ItlqeuxVlkezvUVPR47zvoN0hASQojMbN52azlFnaLN8Lr9NqcRjhE8gWe99aVs+NquNoe5uImTrOuRdm3A45GVQU5TJEcpXmj8HgA/rf+YGVu+szmRcJL/Z+8+A6Mouz6MX/f2BEiAQOhdQpNupSqo9I4oIPaCKBZEekeKFRTEjo8FBJQuiHREpIl0adJ7CZC+/X4/DE98fNUESMhskvP7tDI7s/8PcWfOnplzB0vegvfO5wFwrhiJ5exukxP9s6JFFY8/any/TJ6iuXhR6iAhRPrk12MhbjDHzxOwndiEtoeT0uY9cOQBICVFM2S4JiUF6tSGJx69tiJhyf5vuOyOpUjekjSp0OFGRBdCiJCmlOL++9/GoRWH7R6alBnG8y9o5i/0mB1NCCHEdfr52GIAGpRpZXISEUrse+ajfMkEC5YnUOoOs+Ok6cxZzcZNxus2raQRFKruKH0fD9V6GYAJ617lYGxo/uAvzOG77Wn8ZRui/G5cC3qjkmPNjvSPunSGmIqQkADvvS/NICFE+qQZJMQNZN2/FMevUwFwNxuLjqoAGLPQ33pHc/gIREXB8CEKm+3qCwVfwMvMnVMA6FL9OWwWe6ZnF0KI7CAibzEaFK0PgK/8XG4K38WgIYlMmhLE75eCSAghspNjlw9w7PIBbBY7t5VqanYcESq0Th0R56vZLXXKQqhatFijtXHDX8mSoZ01t+tRqy+3lLgbTyCFESsfJ8Fz2exIIlRYrLhbvkUwfxksCadxLXwJAj6zU/2Nzabo11dhscDyFbB+o9Q/Qoi0STNIiBtEXTyE68eBAHjrPk4gplnqtgXfw4/LwGqBkcMUUVHXViSsPDSH80knKRBWmOYVH8zU3EIIkd20qP0SAEsdHsY3GYJV+Zk5C/oN1CQlSUEkhBDZxc9HjRFxtYs1IK8jwuQ0IlRYj2/EcvEg2h6Or2o7s+Okye/XLDIebqNta2kEhTqrxcqgu6ZQNG8pTicc5bXVPfEHQ+8Hf2ESVwQp7d5HO/JgPfkrjtXjzE70jypXUtzf2Xj99jualBSpf4QQ/06aQULcCN4kwha8gPIlEyh5K96GL6du2n9AM/E94+T8zNOKWjWvrUgIBAPM2GHMN+58c0+ctrDMyy2EENlQzWL1KJanFEkKdlh3MePFWbhcsGkz9HpBc/68FERCCJEd/Hx0EQANysqIOPEn+7bpAEYjyJnX5DRp27gJzp2HyAho1NDsNOJqRDgLMLzpVFy2MLacXM2k9YPQWq4dhUFHVcDd4k00Csf2b7Dt/NbsSP/oiUcVRYvAmbPw4cfy9yuE+HfSDBIis2mNc+kQLBcPEswTjbvVO2CxAcY6QSNGaXw+aFAfuj5w7Ydfd3Qxx+P+IK8jkjaVH8nk8EIIkf1YlIUWlXsAsMDhoeLxd/h43CkKFoCDB+GZXppDh6QoEkKIUHYu8ST7L2xHoahXuln6O4hcQSWcxnpwBQD+ml1NTpO+hYuM643mzcHhkCeDsouKUdUZ2PgDFIpF+75i1s73zY4kQkigwt146/UGwLliNNbjm0xO9Hfh4Yr+rxrfObPnwpbfpPYRQvwzaQYJkcns26dj378EbbHhbjMRnadQ6rZJUzTHjkOhQjCwn0Jd47zroA4ybftEADpUfYJwe2jfGSeEEFnlvopdsCgrO2wBDgcSqXp4FB++D6VLGXfo9uqt+W2rFEVCCBGq1h0zRsTdXOR2CoQVNjmNCBX2HTNROoi/5G0EC1U0O06azp/X/LLeeN2mlTSCspv6ZZrT6/bRAHzy62usObzA5EQilPhu74kvpjkq6MM1/zks5/eaHelvbr1F0b6t8Xrc6zIuWwjxz6QZJEQmspzfj2PNGwB4G75CsHjt1G1rftIsWGisdzp0kCIy8toLhJ+PLubgxd2E2/PSvuqTmZZbCCGyu0LhRbm91D0ALHT5sR1ZS+mEJXz4vqJGdUhMgj6valavkaJICCFC0c9HjIVW6pdpYXISETL8Xmw7jJFMvlrdTQ6TvkU/QDAINWtA2TLSDMqOOlR7kg5X6uzxP/Xm93O/mpxIhAyl8DQfT6DELShvIq45T6HiTpid6m969VQUK2aMi5v8gdQ9Qoi/k2aQEJnFl4JzcR9UwIu/XCN8df4c4XbunGb8m8aJuNuDULfOtRcHQR3ky61vAdCx2lNEugpmTm4hhMghWsUYPxQtDgcvGseqsUTY45jwluLuu8Dvh2EjNUuWSmEkhBChJM4dy86zGwBoIM0gcYXtwI9YUi4SzFuEwE1NzI6TpkBAs+B74/qiTWtpBGVnPW8byZ2lm+ELeBi6/GFOxR8xO5IIFTYnKe3eJ1CoEpakC4TNfgKVHGt2qr8ID1cM6m98By38HjZslLpHCPFX0gwSIpM417yONfYgwfBCeJqNNR4BwigMXhunSUiAypXgycevrzhYe+R7jlzaSx5HBJ2qPZOZ0YUQIke4tWQTosKLctmfzE8FCmJJjsW5ZjxOp2LEUEWrlsYdu6+N1cybL4WREEKEil+O/UhQB7kpqjpF85U2O44IEfZt0wDw1XggdQ3WULVhI5w7BxERcHdjs9OIjLBarAxqPIWYqBrEuS8yaGl34lIumh1LhApXBO6OHxOMKI7l8jFc3z6GSrpgdqq/qF1LcX8n4/X4NzXxCVL3CCH+JM0gITKB9cAy7DtmAuBpMR4dHpW6bfoM+G0rhLlg+FCF3X7tzaBAMPDnU0FVnyKfM3/mBBdCiBzEarHRrOKDAMwrmB+Nwv77fKyHVmO1Kvr3VXTuaLz3rQmaGbOkMBJCiFCw7qixXpA8FST+y3J2N9bT29EWO/7q95sdJ13zFxrXFC2bg9MpTwZld2H2PIy+9yui85TgRPxBes9pS6I33uxYIkTovNGkdPqUYJ5orLEHCJv1MCrhrNmx/uKZpxQlS8KFCzDxXal5hBB/kmaQEBmkEk7jWjoUAO8tjxMoUz912569mk+nGifel15UlCp5fYXBT0cWcvTy/itPBT2d8dBCCJFDNa/YFYAtsVs5VqMDAM5lw8Edj8WieLG34qFuxnsnT9F8/oVGaymQhBDCLMm+RLac+gmQ9YLEn+zbpgPgj2mGzlPI5DRpO3NGs96YckjbNtIIyimiwosw9r5pRDgLsvvMZgb+2JUkb4LZsUSI0AXKkdLlS4L5imG5dNhoCMWfMjtWKpdLMWSgwmKBpcuRMdlCiFTSDBIiI4IBXD/0R3niCBS5GW/9F1M3JSdrRo7WBALQ5G7jLrHrEQgG+GqJilCCAAAgAElEQVTr2wDcf3NP8jojMyO5EELkSMUjynB76SZoNAsj8xDMXwZL0jmca14HQClFz6ctPPWE8WPNZ59rPvhIGkJCCGGWTcdX4At4KBFRnrL5K5sdR4SClEvY9i4CwFerm8lh0rdwkUZrqFsHSpeSZlBOUrZAZd5oPosIVwH2nN/CoKXdSfYlmh1LhAhdoAwpXb4iGFkSS9wxwmb1QF0+bnasVDdXUzz2iPGd9PY7mmPHpd4RQkgzSIgMsW/6GOuJzWh7OO6Wb4HVkbpt4nuaEyehSBHo20eh1PUVBsv+mMWxuAPkc+SnfdUnMyu6EELkWO2rPw7AkoPfknTfKGNc3O45WA+vTX3PIz0ULzxnfC9PnwEffSINISGEMMP/joi73utlkbPYd89FBTwEoqsQLFbL7Dhp8vs13xt9K9q3lb/fnOimqJuZ0vkH8joi2X1uE4OXPkSKL8nsWCJE6MgSRkMofxks8aeMhtClw2bHSvXwQ1CrJqS4YcQojdcr9Y4QuZ00g4S4TpZTW3Gsfx8AT9Nh6AJlUretWKlZvAQsFhg2WBGR7/oKA48/hS+2vglA15ovkNcRkfHgQgiRw911U1sinAW5kHyaTToeX50eADiXDQPPn+M9utyv6POS8f389XSY+h8pjoQQIit5Ax42nlgOQIMyrUxOI0JCMIB9+zcA+Gp2gxBvEP68DmIvQlRBaNjA7DTiRqlSpDbjm80g3J6PnWc30G9JF+LcF82OJUKEzleUlC5fEoiqgCXxLGEzH8ZyZpfZsQCwWhXDhygiI2D/AfjwY6l3hMjtpBkkxPVwx+Na3BelA/gqt8FftV3qpjNnNG++bZxgH34Iata4/gJm3u+fcT7pFIXzlKB9lcczHFsIIXIDh83JvTcZi00v3jcNb/2XCEaWxpJ4BueaN/7y3o7tFb2vPCH0+Rfw1TQpkIQQIqtsPbWWZF8iUeFFqVQ4tJ8AEVnDemQtlrgTaGck/sqh3yCct8C4bmjZEmy20G5ciYypXLg2rzebST5Hfvac38LLi9pxNvGE2bFEiNB5o3Hf/wWBwpWxJF8gbNbDWP9YYXYsAAoXVgwaYHw/zfoOVq+RekeI3EyaQUJcK61xLh+OJf4UwchSeJoOS93k92tGjdEkJkG1qvDow9dfEMR7LvHNjkkAPFanHw6bK8PRhRAit2gR0xWA9ceXEuuLx93sNQDsu77DemTdX977wP2KZ54yvq8/+kQzY5YUSEIIkRV+vjIirn7p5liUlKYC7NumA+C7uSPYw0xOk7bjJzS/bjEeXmrbShpBuUGV6DpMbDWfwnmKcyzuAC9+34aDsbvNjiVChA6PIqXLV/jLNED5U3At6I39ty8hBEZR16+neLCL8XrMOM2hw+ZnEkKYQ664hbhGtt1zsO9fgrbYjHWCnHlTt309HXbshPBwGDZEZejusG+2v0eiN45yBarQtELnzIguhBC5RtkClakWfStBHWDJ/m8IlrwVb63uADiXDQXPXxf/7dFd8fijxnf25Ck69U5fIYQQN4Y/6EtdL6hh2dYmpxGhQF06iu3IWjQKX80HzY6TrgULjWuFO26HYsWkGZRblClQiXdbLaR0/opcSD5N7+9bsfTATLNjiVDhzIu7/RR8NR5AoXGuHodj1RgI+s1ORs+nFXXrGOsHDRqiSUiQekeI3EiaQUJcA3XxMM6VYwDw1nuBYLEaqdt27tJ8fmW9ib4vK0oUv/6C4GziCebtmQrAk7cMxmqxZiC1EELkTq0rPwzA9/u+IhAM4G3wMsHIklgSTuNc+9bf3v/YI/BQN+P12xM0K1dLgSSEEDfK9tO/EO+5SH5XFDWK3mF2HBEC7DtmABAo1xCdv7TJadLm8WgWG71M2rWVRlBuE523BBNbLeC2kk3wBty8sfZFJq7rhzfgMTuaCAVWO56mw/E0ehWNwrFtGq45T0PKJVNj2WyKEcMURYrAiZMwaowmGJR6R4jcRppBQlwtvxfXoldQ/hT8pe/Ad+sTqZsSEzWjXtMEgnDfPXDfvRkrCKZuGYcv4KFm0XrcVrJpRpMLIUSu1LhsGyKcBTmfdNJYoNyRB8+9V8bF7ZiJ9dj6v7xfKWNcXLs2xjSHUa9pNv8qBZIQQtwIqw8vAKBBmVZYLTaT0wjT+VKw75pjvKzZzeQw6VvzE8TFQ3Q03Hm72WmEGSKcBXjt3q95pParKBTf7/uSlxe142T8YbOjiVCgFL5bHsfdZiLaFobt2HrCv+6E5cxOU2MVyK8YO1rhcMD6DfDhJ1LrCJHbSDNIiKvk+PkdrOf3oF358TR/Hf5nrvk7EzWnz0CxYtDnpYw1gnaf3cyKg7NRKJ65bThKyZ1mQghxPRw2F81jjDEzC/f8B4BA6dtTR884lw4Bb9Jf9lFK0eclxV2Nwe83Rij8vkeKJCGEyEz/OyKuUbk2JqcRocC293uUJ55gZCkC5RqaHSdd86+MiGvbWmG1Sr2WW1mUhR61X2HMfdPI5yzAvgvbeGru3czcMZlACIwFE+YLVLyPlG4zCeYvgyXhNGEzu2PbMcvUdYQqxSj69zW+t6Z/A7PnSq0jRG4izSAhroL12AYcv30BgLv5WHTe6NRtPy7VLF0OVgsMH6LIm/f6i4GgDvL+hsEANI/pSkyhmhkLLoQQuVzrSg+jUGw+uYpT8UcA8DTsSzCiOJb4UzjWvv23faxWxbDBilvqGjO1X+2vOXJUiiQhhMgs/x0RF+kqSM2id5odR5hNa+zbpgPgq9n1LzfdhaJDhzXbdxj1X+uWZqcRoeC2kk34sN1S6hRvhDfg5pNfX+P5hS3ZeWaD2dFECAgWqkhy92/xV2iKCvhwLR9u3JTmSzEtU7P7FE8+bvx2NfE9zZq1UusIkVuE9lWWEKHAk4Dzx0EA+Go8QKD83ambTp7SvD3ROGk+9qji5moZuyvsxwMz2B+7g3B7Ph6vOzBDxxJCCAHFI8pyS4m7APh+35fGPzry4Ll3tPFy+zdYj238234OhzFCoUplYwxMn76aM2elSBJCiMyw5vBCQEbECYPl1Fas5/eirU581TqYHSddC648FdSgARQqJE8FCUORvKV4vdlM+jaYQF5HJAdid/Dy4vYMXvYQhy7+bnY8YTZnPtxtJ+Fp0AetLNh3zyFsehdU7B+mRXqkB7S9Mh575GjNzl1S6wiRG0gzSIh0OFeNxZJwmmBkaTyN+6X+u9+vGTlak5wMNWtAj+4Z+5xEbzyf/ToWgB61+lAgrHDGDiiEEAKAtlUeA2DJ/hl4/W4AAmXq4aveBQDnjwPBk/C3/cLDFW+OV5QpDefOwyuvauLipEgSQoiMCAT9rDu2GIBGZWVEnAD7tmkA+Ku0hrD8JqdJW0qKZsmPxuv2baURJP5KKUXzmK5M7biW1pUexqKsbDy+nGfmNWXcmuc4fGmP2RGFmZTCd9tTuDtNJZinENbYPwifdj+2XXNMGRunlKLPi4r69cDrhf6DNEdlGoIQOZ40g4RIg/XAMuy/z0MrC+4W48Eenrrt8y80v++BvHlg6OCMz4qetu0dLrsvUDKiAu2rPpHR6EIIIa64rWRTovOUIN5zkTVHFqb+u6dxP4KRJbEknMa5auw/7ps/v+KdtxTR0XD0GAwYrPF4pEgSQojrte30L8S5jRFxtYrVMzuOMJlKOo/twDIAfLW6mZwmfStWQWISlCgOdeuYnUaEqoLh0bxU/w2mdlzLXeXaodGsODibp+beTf8fH2TTiZVoE9eMEeYKlL6dlB7z8Jepj/K7cS0djHNJ/7+tZZoVbDbFiKGKqlUgPh769NOcOSN/m0LkZNIMEuJfqKQLuJYPB8B365MEi9dO3bZtu+bLr43Xr/ZVFC2SsUbQoYu/M3v3JwA8e/tI7FZHho4nhBDiT1aLlVaVegCwcO8Xf25w5MHd/HVjVMPv87DuX/qP+xeJVrz1uiJvHti5C0aP0QSDUiQJIcT1+OlKU75+6ZYyIk5g2/ktKugjULw2weiqZsdJ1/wFxvm/XVuFxSJPBom0lYwsz5C7P+KDtktpVLYNFmVhy8nVDFrajSfnNmbxvml4/OatGyPMo8OjcHf8GE+Dl9HKin3PQsKndcZyfm+WZwkLU7w+TlGqFJw9C71fkvHYQuRk0gwS4p9ojXPZMFTKJQKFK+O987nUTfEJmlFjNFpDyxbQ9O6MFQGBYIB3fn6FoA7QoExLbi91T0bTCyGE+H9axHTDZrHz+7lf+SN2V+q/B0vUwXfrkwC4lg9HJZ77x/3Ll1OMfU1ht8Pqn2DyFCmQhBDiWgWCfn4+ugiAxuVkRFyuF/Bh3z4TAF/N0H8qaN9+zZ69YLdDi+ZmpxHZScVCNRjW5BO+7LyBTtWeIdyel6OX9/POulfoNqsuU7eM53zSKbNjiqymLPhue5qULl8QzFsEy6UjhE1/ANuOmVk+Nq5AfsV77yhKloDTZ6QhJEROJs0gIf6BbfdcbIdWoa12PM3Hw5UndbTWvPGW5tw5KFkSXuqd8bvBFu79D3svbCXcnpfn7xiT4eMJIYT4u4Lh0TQo0xKABXv+85dt3jufI1C4Csp9GefSIf9afNWprRg8wPjen/UdzPxWCiQhhLgW28+sJ859kQhnQWoVq292HGEy68GVWJLOEQwvhD/mPrPjpGvOPOO8f1dj44dTIa5V0Xylefb2kUx/4Dd63jaC6DwliHNfZPr2iXSfdSujVz3NzjMbZYRcLhMsUZfkHnPxl2uMCnhxLR+Bc1Ef8CRmaY7ChRXvTVCUKA6nT8MLL8vIOCFyImkGCfH/qLiTOFcba0d4671AsHCl1G2LfoDVa8BqheFDFOHhGSsCziWe5LNfjc964pbBFMpTLEPHE0II8e/aVnkUgBUHZxPvufTnBqsDT4vX0VYHtiNrjbvx/sU9TRW9ehrf/ZOnaFatlgJJCCGu1k+Hr4yIK9NCRsQJHNumAeCv3jn15rtQFRenWbbceN2pgzSCRMbkdUTQ+eaefHX/RoY1+ZQaRe8kqAOsObyAlxe347kFzVh3dIk0hXKTsAK420/B06gf2mLDvn8J4V93wnJ2d5bGiI5WvDdRUbw4nDoFzzyn+eOg/B0KkZNIM0iI/6WDuH4ciPImESheB1/dx1I3HTuuefc94yT41BOKKpUzVgRorZm0YRAp/iSqRt9Cm8qPZOh4Qggh0la9yB1UKFgNTyCFH/ZP/8u2YKGKeBv2AcC55g3UpcP/epyuD0DH9sYDRKPHaLbvkAJJCCHSIyPixP+yXNiP9cRmtLLiq/GA2XHStegH8HohJgaqhf7SRiKbsFpsNCrbmndazuWjditoEdMdh9XF/tgdDF/xKM8tbM7e81vNjimyirLgu+UxUrp8RTCiOJa4Y4TN6Ip969dZOjauSLRi8kRFubIQGwvPv6DZuk3qHSFyCmkGCfE/7L99aRQl9nDczceBxQqAz6cZOVqT4oa6daDbgxn/rJ+OLGT9sR+xKhsv138Ti5L/HYUQ4kZSStGhqrE+0PzfpxII+v+y3Ve7B/5Sd6D8Kbh+GAD/b/v/HufF3oqG9cHrgwGDNUePSoEkhBBp2X5mPZfdseRzFpARcQL7NuOmjMBNTdH5ipqcJm2BgGbulRFxHdsrlJIng0TmqxBVjVcavM03D2yha40XCLPlYf+F7fRe2JJJ6weR5E0wO6LIIsHitUh+aA7+Ck1RAR/OVWNwLXwB3HFZliE6WvH+JEWN6pCYBH1e1axYJfWOEDmB/PosxBUq9g8cP08AwNO4Pzp/6dRtn07V7NsPEREwZKDCYslYAXAp5Tzv/jIAgK41e1OuQJUMHU8IIcTVaVK+A5GugpxLOsm6Y0v+ulFZ8DQfi3bmw3pmB/aNH/3rcaxWxfChimpVISEB+vbXXLwoBZIQQvybNYcXANCgTAtsFrvJaYSpPAnY9hgjA301u5kcJn3rNxoLqkdEwL1NzU4jcrpIVxRP3DKIL+/fwD0VOqPRzN8zlSfmNGLb6XVmxxNZxRWJu+0kPHcPRlvt2P5YTvjXHbGc2pZlESLyKSa8pWjYAHw+GD5S89nnQYJBqXmEyM6kGSQEQMCH64f+qIAXf7lG+Kvfn7rp1y2a6TOM1/1fVRQunPHxcBPX9SPec5EKBavRvebLGTqeEEKIq+ewuWhV6WEA5u7+9G/bdb5ieJoMM9674QMsZ3b+67FcLsX4sYqSJYwfiQYM1ng8UhwJIcT/5wt4+enI9wDcVa6dyWmE2ey756F8yQSiKhAodZvZcdI1Z65xbm/dEpxOeSpIZI0CYYUZ0HgyrzebRYmIclxIPs2rP3Tm8y2vE9RBs+OJrKAUvtoPkfLgNwQjS2GJP0XYrB7Yf50KWfQ34HQqXhup6NLZ+O/Pv4AhwzXJyVLzCJFdSTNICMCx8UOs535HuyLx3Dsarjz6f+myZvRYjdbQtg00bpjxi/+Vh+aw7tgP2Cx2+jV8D3uIL5YqhBA5TdvKj2BVNnae3cCB2L83e/yVW+Gr1AKlA7h+6Ae+lH89VoH8ijdfV+TLB7/vgbHjtdwtJ4QQ/8+WU2tI8FyiQFhhahVrYHYcYSYdxL79G+DKU0EhPnLt2DHNps1GzPbtQjuryJnqlmjEh+2W0yKmGxrNtO0TGLXySVJ8SWZHE1kkWKQayQ/NxhfTHBX04/zpTVzzekHKpSz5fKtV8cLzFgb2V9jt8NNa6Pmc5tgxqXmEyI6kGSRyPcuZnamjgNz3jEDnjQaMJ3jGv6GJjYWyZeCF5zJ+8X8h+QyT1g8C4KFafagQVS3DxxRCCHFtCuUpRqOyrQGY9/vfnw5CKTxNhhHME43l0hGca15P83ilSirGjFLYbLBiFXz+hRRGQgjxv1YenAsYTwVZr6zJKXIn69FfsFw6jHbkwV819J8SmzPfOKfXuxOKF5NmkDBHmD0PrzR4hwGNJmO3OPj56GJe+aEjce5Ys6OJrOLMh6fVO7jvGYm2OrAdXkP4tPuxnN+bZRFatVBMmqgoWAAOHYYnntYsWSp1jxDZjTSDRO7m9+L8cSBKB/BVakkgpnnqpjlzYd0vYLfD8KEKlyvj4+EmrOtLojeOmKgadK3RO6PphRBCXKcO1Z4CjB8oL6Wc//sbwvLjaT4OAPuOmVj3L03zeHVqK159xThPfP4FLF0mhZEQQgCk+JL45dgPADQp39HkNMJs9q1fA+Cr1hEceUxOk7bkZM0PV5YX7NRBGkHCfPfc1Jk3W3xHpKsg+y9s55XFHYlNPmt2LJFVlMJfowsp3WYSjCyNJf4kYd90xbZ3UZZFuLmaYuqnijq1IcUNr43VjB0fJCVFah8hsgtpBolczbFhCtbYgwTDo/A0GZL6738c1Lz/gXEye+5ZRcWbMn7x/+OBGWw8vhy7xUG/Ru9htdgyfEwhhBDXp2p0XSoXroMv6GXu75/943sCZerhvdVoGrmWDUHFnUzzmK1aKLp1NV6Pe0OzY6cURUIIsf7YUtz+FIrlK0PlwrXNjiNMpC4fw3r4JwB8tbqanCZ9Py6DpCQoVQpuqWt2GiEMNxe5jQkt5xMVXpQjl/fRZ3GHf76xSeRYwcKVSe4+C3+ZBii/G9fivjh+ehOC/iz5/EJRiglvKZ54TGGxwOIl8PjTmr37pPYRIjuQZpDItSxndmHfbIwH8jQdDmEFAHC7NSNGabw+YxxApw4Z/6xT8Ud4f4PRbHq0Tj/KFqic8YMKIYTIkAeqPwfAgj2fk+xL/Mf3eOv1JlCsJsqTgGvxKxDwpXnMnk8pGjYAnw8GDdWcOi1FkRAid1t1yBgR16R8R1SIrw8jbiz7tukoNP6yDdEFypkdJ01aa2bPNc7hHdsrLBb52xWho3T+ikxoOZ8ieUtyMv4QA37sSqI33uxYIiu5InF3+DD1xjXHr1NxzX0GUi5nycdbrYrHHlG8+46icCE4ftxYR2jaN7J+qhChTppBInf6/+PhKt6bumnS+5ojRyEqCgb2VxkuWv1BH2NXP0uKP4nqRe6g883PZjS9EEKITFCvdHNKRlQg0RvH4n1f//ObrHbcLd9GOyOwnt6O45f30jymxaIYNlgREwOXL0O/gZrERCmIhBC5U5z7IptOrASgSfn2JqcRpvImYd89BwBf7YdMDpO+rdvgyBEIc0GLZmanEeLvikeU4Y3m31IgrDAHL+5i2PKH8QW8ZscSWclixduwDymtJ6BtYdiO/kL49PuxnN+XZRFq11J8MVVxVyPw++GDjzQvvaI5e07qHyFClTSDRK7k2DgFa+wffxsPt+YnzfyFoBQMGagokD/jd4B98dub7L2wlbyOSAY0niyL5gohRIiwWqx0qd4LgNm7P/7XAlpHlsB972gAHJs/xXrk5zSPGxameH2MolAh44ekYSM1fr8UREKI3GftkUUEtJ8KBatRpkAls+MIE9n2LER5EgjmL0OgbAOz46Trv08FNWsGefPKU0EiNJWIKMf4+2YQbs/HjjMbmLR+EFrLNWduE4hpTkrXbwhGlsQSd4Kwb7piPbQ6yz4/IkIxeqRiwKsKlwt+2wqPPKZZulz+FoUIRdIMErmO5exu7Jv+Ox5uWOp4uLPnNOPfNE5W3R6EW2/J+EX/1lM/M2PHJAD6NHibInlLZviYQgghMs89FTpRMCya80mnUkcZ/ZNAzH34aj4IgGvxq6iE02ket3BhxetjjYJo02Z4b7IUQ0KI3GflIeNJkCblM2Hussi+tMa+zXgC11erG6jQ/hnizFnN2iv3fXRsL40gEdoqRFVjyF0folAs3v81C/Z8bnYkYYJg4Uokd/sWf+k7Uf4UXPOfx7ZrTpZ9vlKK1q0Un3+qqFoFEpNg1Gua4aOCxCdIHSREKAntqzAhMpvfi3PJf8fDtSBQ8T4AAgHN6DGahASoUhmeeiLjF/1x7ljG//Q8Gk3LmIdoVLZ1ho8phBAiczlsLjpWM2Ztz9z5PkEd/Nf3ehoPIBBdFeW+jGvhS5DOKI5KMYqhg43zyZx5MHe+FEJCiNzjfNIpdp7ZAMBdMiIuV7Me34A19iDaHo6vWug3Bucv1ASDUKc2lC8nzSAR+m4r1ZQnbzUmnnywaTgHLuwwOZEwRVh+3B0+wle1HUoHcC0djH3DB5CFT4uVKqmYMknx+KMKqwVWrIRHH9f8ukXqICFChTSDRK7i2PgB1tgDBMMK4rn7z/FwX34N27ZDWBiMGKqw2TJ20R/UQcaveZ7Y5DOUiryJZ28fmdHoQgghbpDWlR8h3J6Po5f3s/H48n9/o82Ju827xvpBZ3bgWPNmusdu3FDxzFPGOWXiu1IICSFyj1WH5qHR3Fzkdnk6Ppezb50GgK9qO3DmMzlN2jwezcKFxutOHaQRJLKPLjf3okGZlviDPsasfpYUX5LZkYQZrHY8zcbhve1pAJy/vIdz5SgIBrIsgs1mNIOmTFaULAnnzsNLr2gmvR/E45FaSAizSTNI5BrGeLhPgCvj4cILAvDbVs3nXxgnpFdeVpQokfGL/hk7JrH55CocVhdD7/6EMHueDB9TCCHEjZHXEUGbyg8DxtNBadGRJXG3GA+AY9vX2PYuSvf4D3WDZvdCIAhDR2iOn5AiSAiRs2mtWfbHtwA0rdDR5DTCTCruJNZDqwDw1epucpr0rVoDl+MgujDUr2d2GiGunlKKl+u/RaHwYpyIP8gHG4ebHUmYRSm8DV7Gc/cQNAr79hk4F/eFgC9LY1Srqvj8E0X7tsZ/z/wWnuqpOfCH1EJCmEmaQSJ3CHhx/jjIGA8X05xATDMALl7UjBxtjAFo2QKa35fxRtD207/wn99eB6D3nWMpX7BKho8phBDixupQ7SnsFge7zm5k99nNab43UP7uP++2WzYMFXswzfcrpejXV1GtKiQkQL+BWmZnCyFytD8u7uLwpT3YrU7uKtfO7DjCRPbt01E6iL/0neioCmbHSdfsucb5uX27jE+LECKrRboK0r/RpNT1g34+stjsSMJEvtrdcbeegLbYse9fgmtRn3THXGe2sDBF3z4W3hinKFAADh2Gp5/VTJ+hCQSkHhLCDNIMErmCY8OHWC/sR4cVwNNkKGCsEzRqjCb2IpQrC31ezPjF/qWU84xZ3ZOgDnLfTV1oXrFrho8phBDixisUXpR7buoMwDc73kv3/d56vfGXuh3lSyZs4YvgTXsUh9OpGDtaER0Nx4/DsBEav18KICFEzrT0wEwA7ix1H/mc+U1OI0zjS8G+c7bxsvZDJodJ3+97NHv2gN0ObVqZnUaI61O7eAO6VO8FwIRf+hLnvmhyImGmQEwz3G0noa0ObH8sx7XwRfBnbUMIoN6dii8/VzSsDz4fTPlQ8/hT8Zw5I/WQEFlNmkEixzPGw30MgPt/xsN9NQ1+3QIuF4waoXC5MtYMCgQDjF3di4sp5yiTP4bed45DKbmbTAghsosHqj+PRVnYcHwZ+y5sS/vNFhuelm8RzFMYy8WDOJcNT3dx1qgoxetjFC6Xcf6Z9L4UP0KInMcX8LLy0BwAmlV8wOQ0wky2vd+jPHEEI0sSKNfY7DjpmjPPOC83uRsKFJA6TmRfj9bpT9kClYlzX+TjzaPMjiNMFijfGHe7KWirE9uh1bgWPA8+d5bnKJBfMfY1xYBXFWEu+HWLn0ee0Py4VGoiIbKSNINEzhbw4vxxMEoH8FdsRiCmOQBbt2mm/ufKOkEvKcqVzfjF/tfb3mHr6bW4bGEMa/KprBMkhBDZTMnI8jQpb6xt8eXWt9J9v85TyBi9oKzY9y3Cvn16uvtUrKgYOtg458yeC/PmS/EjhMhZNp1YSZz7IgXDormlxF1mxxFm0Rr71mkA+Gp2A4vV5EBpu3RZs2Kl8bpTB2kEiezNbnXQp/5bKBQ/HpjBttPrzI4kTBYoWx93hw/RtjBsR9bimt8L/J4sz6GUonUrxX8+U9SqaSMpCUaP1bz+VhCPR+oiIbKCNINEjubY+DHWC/uM8XBNjfFwly5pRlxZJ8hpxTgAACAASURBVKhFM2jRPOMX+1tO/sTX294B4KV6b1Imf0yGjymEECLrPVSrDxZlZePx5ew9vzXd9wdL1MXbqC8AjtWvYzmV/j6NGyqeftI490x4V7PlNyl8hBA5x7I/ZgHQtEJHrBabyWmEWSwnNht1mC0M380dzY6Tru8XGaOLqlSGqlWkGSSyv6rRt9C68sMATFzXD68/658EEaElUPoOUjp+hLaHYzu2Htf3L0PAZ0qWEiUUX0yN4PFHFUrBwu+hV2/N6dNSFwlxo0kzSORYlgv7U8fDeZoMQYdHEQxqRo/VxMZC2TLQ56WMX+hfSD7DuDW90GhaxjyUuuaEEEKI7KdkZHnuqdAJuLqngwB8dR7BX7EZKujDtaA3Kv5Uuvv06A733QOBIAwZrjl+QgofIUT2F+eOZcPxZQDce5OMiMvNHNuMp4L8VdqAK9LkNGnz+zVzrzyp21GeChI5yBO3DKZgWDQn4g9e1ZqYIucLlrwVd/sProyMW4VzyQAIBkzJYrMpHn9U8fYbisgI2LcfnnhGs2Gj1EVC3EjSDBI5UzCAc+lQVNCHv0IT/DEtAPh6OmzaDE6nsU5QWFhG1wnyM3b1s1x2X6B8gao8d8fozEgvhBDCRN1rvYxFWdl0YgV7zv2W/g5K4W42hkDhyliSY3HNfx58yensouj/qqJqFUhIgP4DNQkJUvgIIbK3lQfn4g/6uCmqOuULVjE7jjCJSjiN9Y8VAPhqdTc5TfrWrYdz5yB/JDS5y+w0QmSevI4InrvjNQBm7HyfMwnHTE4kQkGg1G2427yLttix71uMc/mIdNc+vZFuu1Xx2ceKypUgPh5eHaD5/AtNMCi1kRA3gjSDRI5k3/oV1jM70I68eJoMA6XYvkPz6VTjZNLnJUX5chm/6+urbW+z48x6wmx5GNrkY5y2sAwfUwghhLlKRJTj3itPeX617eqeDsKRB3e7yQTDCmI9vwfXkoGgg2nu4nQqxr2miC4Mx47D8FEav1+KHiFE9qS1ZtG+rwBoXvFBk9MIM9m3zzDWbC15G8HCoT8+e85c49zbprVxbhYiJ2lUtg21itXHF/Dw6a9jzI4jQkSgfGPcLd9AKwv2Xd/hWPeuqXmKFlVMmaRo18boS332uab/IE18vNRGQmQ2aQaJHEddPo5jnfEItKfRq+h8RYiN1QwbaawT1LwZtGye8c/ZcnIN07ZNBODl+m9RKvKmjB9UCCFESOhe879PB61k55mNV7WPjiiBu+0ktMWO7cBSHOunpLtPVJRi/FiFy2U8uTp5ihQ8QojsadfZTRy5vA+XLYx7brrf7DjCLH4P9p3fAuCrHfpPBR0+otnyG1gs0K6tNIJEzqOUoudtI1EoVh+ez+6zm82OJEJEIKY5nntHAeDY9BG2HbNMzeNwKF59xcKg/gqHA9ZvgKd6yjhtITKbNINEzqI1zuXDUf4U/CVvw1+9M36/ZvioK+sElYU+LyqUytiF/v+uE9SqUg+aVOiQOfmFEEKEhOIRZWkR0w2AjzePQl/l6IRgiTp47hkBgGPD+1j3L0l3n5iKiqGDjPPSd3Ng3gIpeIQQ2c/3+74E4K5y7cnriDA5jTCLbd9iVMolgvmKEajQxOw46Zo9xzjnNqgPRYtIM0jkTDdF3UzzmK4AfLBxGMF0nl4XuYf/5k547nweAOeKUVgPrTE5EbRsofjofUWxonDyFPTspdm5S+ojITKLNINEjmLbPRfbsfVoq9O4w0FZ+OgTzbbtEB4OY0cpwsMza52gWMoXqEqv20dlUnohhBCh5OHafXHZwthzfgvrjv5w1fv5b+6It84jALiWDMRydne6+zRupHjqCeP8NOFdzZbfpOARQmQfce5YfjryPQCtKz9schphGq2xbzVGBfpqdgWLzeRAabt8WbP4yj0bnTtKI0jkbI/VGUCYLQ97L2xl1aG5ZscRIcR3Ry981TqidADXoj5XVbvcaBUrKj6aYqwjFBcPL76sWb1G6iMhMoM0g0SOoRLP4VzzOgDeer3RBcqwarXmm5nG9kH9FaVLyzpBQgghrk5UeBE6VesJwGdbxhII+q96X2+jvvjLNkT53bjmPYuKP5XuPg8/BPfeA4EADBkuIxGEENnH0gOz8AU8VIyqQaVCtcyOI0xiObUV67k9aKsTX/XOZsdJ17wF4PVCTAzUlj9bkcMVDI+ma80XAPjs17F4Ax6TE4mQoRSee0bgL1MP5UvGNa8XKvGc2akoWFAxaaKifj3w+mDoCM28+VIfCZFR0gwSOYZz1RiUJ55AkWr46j7C0aOasa8bJ4puD8JdjTPeCNpy8idZJ0gIIXKRLtV7EekqyPG4P/hh//Sr39Fiw93qbQJRFbEkncc19xlwx6e5i1KKAa8qqlSBhAToP1CTkCAFjxAitAV1kO/3GU+DtK78cIbHMYvsy77tawD8lVtBWAGT06TN49HMmWucYx/skvEx4kJkB52qPU1UeFHOJZ1k0ZXvbSEAsNpxt36XQFQFLEnncC3oDX7zG4ZhYYqxoxXt24HW8NYEzdfTpT4SIiOkGSRyBOuBpdgOLEVbbHjue41kt5XBwzQpKcZdXk8/mfGL+0sp5xn/03OyTpAQQuQieRz5eKhWHwC+3PoWKb6kq9/ZmQ93x48I5onGGvsHroUvQsCb9i5OxbjXFNGF4dhxGD5K4/dLwSOECF3bTq/jZPwhwu15aVJero9zK5V4DtuBZQD4aj9kcpr0LVsBFy9BdGFocpfZaYTIGk5bGD2uXNdO2zbx2q5rRc7nzIu73RS0MxLrmR04lw0zOjAms1oVr7yk6HHl1PLhx5qPPgle9ZquQoi/kmaQyP7ccThXjgbAd8sTBApVYvybmiNHoVAhGDlMYbNlrBmktebNtS9xKeU8ZfNXknWChBAiF2ld6WGK5SvDxZRzzNr5/jXtq/MVw93hQ7Q9HNvxDTiXDk23qCoUpRg/VuFywabNMPkDKXSEEKHr+71fAtC0QifC7HlMTiPMYt8+AxX0EyhRl2B0FbPjpElrzcxZxrm1c6eM14pCZCfNY7pSPF9ZLrsvMPf3T82OI0KMzl8ad5sJaGXFvmcB9i3/MTsSYExQeOZJC88+Y3xffzUN3puspSEkxHWQZpDI9pxr3sCSdIFggXJ473iWb7+DlavAaoXRIxQFC2b84n7u75+y6cQK7FYng+76UNYJEkKIXMRudfDULUMAmLlzCqcTjl7T/sHoKrhbT0wtqhzrJ6e7T0xFxdBBxvnru9kwb4EUOkKI0HMx+Rzrjv4AGI1zkUv5Pdh2zgLAV6u7yWHSt3ETHD4CYWHQppXZaYTIWjaLnUfq9ANg5s73SfBcNjmRCDWB0nfivWsAAI61b2E9ttHkRH/q3lXR92WjRvp2NkyeIg0hIa6VNINEtmY9th777jkAuO8bzfbfHbz/oXEi6P2covrNGW8E/RG7i082G08e9bx1OOULhvadbkIIITJfw7KtqV2sAd6Amw83jrjm/QPlGuK5ZzgAjg1TsO2ane4+jRspnnzcOI9NeFfz21YpdIQQoWXx/q8JaD9VCtelQlQ1s+MIk9j2LMSSHEswXzH8N91jdpx0zbjyVFCbVpAvnzwVJHKfu8u3p1yBKiR545m1c4rZcUQI8tXqjq9aB5QO4lz8CirxnNmRUrVvp+jX1/junvktTPlQGkJCXAtpBonsy5dszDAFvDW7cc5Vh2EjNIEA3NMUOmXCyHKPP4Wxa57FF/RyZ+lmtK3yWMYPKoQQIttRSvHcHa9hUVbWHfuBzSdWXfMx/NXvx3v7MwA4lw3HemRduvs80sM4pwUCMHiY5sQJKXSEEKHBF/CyYM9/AGhf9XFzwwjzaI39t/8A4KvdA6x2c/Ok48Afml+3gMUC93eSRpDInSzKwmN1jSc/5v3+GXHuiyYnEiFHKTxNhhIoFIMlORbXoj4Q9JudKlXb1n8+IfTNTPjgY2kICXG1pBkksi3HL5OwxJ0gmK8YyXe+zPCRmtiLUK4s9O+rUCrjF/dTt4zn2OUDRIUVoW+DdzLlmEIIIbKnsgUq06HqkwBM3jAIjz/lmo/hrfcivsptUDqA6/sXsZzdneb7lVIM7KeoUgUSEqD/IE1CghQ6Qgjz/XRkIRdTzhEVVoRGZduYHUeYxHpkLdbYg2hHHnzVO5sdJ10zvzXOoXc1hmLFpLYTudedpe6jQsFqpPiTmCdrB4l/Yg/D3WYi2pEH68ktOH6eaHaiv2jfTvHyi8b3+PRv4ONPpUYS4mpIM0hkS5bT27H/ZixW62k6nMmfhbN9B4SHw5jRirCwjF/Ybz/9C3N2fwxAnwZvE+mKyvAxhRBCZG8P1+5LVHhRTsYfZtr2d6/9AErhue81/CVvQ3mTcM15GnXpcJq7OJ2Kca8pogvD0WMwfJTG75diRwhhHq01s69cJ7ep8ih2q8PkRMIs/11c3HdzZ3DmMzdMOi5c0CxfYbx+sIs0gkTuppSie82XAJj7+2ckeuNNTiRCkS5QDvd9YwBw/PoZ1j9WmJzorzp1ULz0gvF9/tU0+Hq61EhCpEeaQSL7CXhxLh2K0kF8Vdow7/dGfHdl6YUhAxWlS2X8wj7Zl8iba19Co2kR053bS4X+7GshhBA3Xh5HPp6/wyiIZu6YzOFLe679IDYH7naTCURXwZJykbDvnkAlnElzl0JRinFjFE4nbNoM738ghY4Qwjy/n/uV/Re2Y7c6aV2ph9lxhEks5/diO7YerSzGiLgQN3uuxu+HGtWhahVpBgnRoGwrSuevSKI3LnXspxD/XyCmGd46DwPg+nEg6vJxkxP9VeeOil49je/0Dz/WzFsgdZIQaZFmkMh27Js+wRp7AB1WgN8KD+DticYX/ZOPKxo1zJyL+o82jeRM4jGK5i3Fs7ePzJRjCiGEyBkalGlJvdLNCWg/7/zcl6AOXvtBnPlwd/yEYP4yWBJO45rzJKRcSnOXSjGKoYOM89y3s2H+Qil0hBDm+O9TQfdU6ET+sEImpxFm+e9TQf6K96EjS5gbJh0pKZp5C4zX8lSQEAaLsqQ+HTR794ek+JJMTiRClbfhKwSK1UJ5EnD98GpIrR8E0O1BRY/uxuu3J2hWrJQ6SYh/I80gka1YLhzAsfEjAM7WGcyAMfnx++Huu4xFtjPDphMrWbTvKwD6NpxIuD1v5hxYCCFEjqCUovedYwmz5WHP+S0s3PvFdR1Hh0eR0vkzgnmLYI09SNjcnuBNuwi/q7HiyceNH7Hemaj5basUOkKIrHU28QQ/H10MQIeqT5mcRphFJZ7Dttf4O/DVfczkNOlb/IOx9l6J4lC/ntlphAgdd5VrR/F8ZYlzX0z9HUSIv7E6cLd6C+3Ii/X0dhwbPjQ70d88/aSifVvQGkaN0WzYKHWSEP9EmkEi+wgGcC4dggr68JS5m96fNOfSJah4Ewzqr1Aq43d4JXgu8/bPfQDoWPUpahWrn+FjCiGEyHkK5ynOE7cMAuCzX8dwNvHEdR1HR5QgpdOnaFck1jM7CJv7TLoNoUd6wD1NIRCAIcM1J05IoSOEyDqzd31EUAeoVaw+5QtWMTuOMIl92zRU0EegeB2CxWqYHSdNgYBm5nfGubLL/QqrVZ4MEuK/rBYbXWu+AMCsnVPw+t0mJxKhSkeUwHPPCADsGz/AcmqrqXn+P6UUL7+oaNrEqJMGD9Ps3CV1khD/nzSDRLZh3/Y11jM70I68jNs1hAN/KPLnh3GvKcLCMueCfvKGwcQmn6FU5E2pP/IJIYQQ/6RN5UepUrjulXXmXry+cXGAjrqJlI6fop35sJ7cYjwh5Ev+1/crpRjYT1GlMsTHw4DBmsREKXSEEDfe5ZQLLNr3NQAP1uhtchphGl8y9u0zAfDWfdTcLFfhp7Vw6hTkywctm5udRojQc0+FzhTOU4KLKef44cA3ZscRIcxfuRW+Km1QOohr8avgSTQ70l9YrYohAxV33A4eDwwcrDl5SuokIf6XNINEtqDiTuD4+V0AVjv6Mm9VUWw2GDNKUbRo5jSC1h5ZxIqDs7EoC/0avofTFpYpxxVCCJEzWS1W+jeahMsWxrbT65i966PrPlaw6M1GQ8iRF+vJX3HNfRZ8Kf/6fqdTMW6MonAhOHIUho3U+P1S6Aghbqw5uz/BE0ghplBN6hZvbHYcYRL7ztkoTxzByFIEKjQxO06atNZ8Nc04P3bqQKbdRChETmK3Oniw+nMAzNwxGV/Aa3IiEco8TYYSjCiBJf4kzpWjzY7zN3a7YvQIRUwMXI6DfgM0CQlSJwnxX9IMEqFPa5zLhqH8KcTmu5U+0zsB8MpLipo1MudiPt5ziffWDwDggerPUyW6TqYcVwghRM5WMrI8PW8bBcDULeM4dHHPdR8rWKwGKR0/QTvyYDuxCde8Xmk2hApFKcaPVTidsGkzvP+BFDlCiBsn0RvPvD1TAehW48VMGdEssqGAD/uWzwHw3vIYWKwmB0rbho2w/wCEueD+TvI3K8S/aR7TlYJh0ZxLOsnyg9+ZHUeEMmc+3C3eQCsL9j0LsO1dZHaivwkLU7wx1rhx7ugxY7S23DgnhEGaQSLk2XbPxXZsPUGLk55LRqKx0LkjtGmdeRfzH20ayaWU85TOX5EetV/JtOMKIYTI+VpVeog7St2LL+hl3JpeeAOe6z5WsHgtoyFkD8d2fAOu+c+B799nt1eKMUYhAHw7GxZ8L0WOEOLGWLDnc5J9CZTJH0O9MjJrK7ey7fsBS8JpguFR+Kt2MDtOmrTWfPm1cV5s1xYiI6UZJMS/cdrC6FK9FwDfbH+PQNBvciIRyoIl6uC7vScAzhWjUInnTE70d4UKKd4YpwhzwZbf4O0JGq2lVhJCmkEipKnEczjXvA7A1KPPcyC2DHXrwPO9Mu9CfsvJNfx4YAYKxSv138FhdWbasYUQQuR8SileafAO+V1RHL60h082Z2xcQrB4bVI6fmw0hI6tx7Xg/9i77/Coqu3/4+99pmUSQi/SpTelN+kIAqIoCgrSm4giHem9CCLFBoiAICgoRSkqWAClF+m9dwEpgUAyffbvj7nX+72/KwiSyUlZr+fxeSZkOOuDk8nMmnXO3m+C/+4Dptq1FJ06hF4XJ03R7NotTY4QImG5fPEsPRhaCvOVkt0xlLSRqZLW2HbMAsBXphXYIkwOdG+798D+A2C3QfNmMggS4u88U6Q1aR0Z+f32GdadWmZ2HJHEeSu/TiDbYyhPLI6fR0ASHLQUKqQYMUxhGLDyO1jwpdmJhDCfvIsXSZpj7RiUJ5bTnhJM39OGHDlg1HCF1Zowb+ZdvjimbOoLwPPFO1AiW4UEOa4QQojUJYMzC32rTQHgm0OzHrqBDuYsh+uFj9FWJ9azm4hY0e2eVwi1bQ11noRAILQMwsWLSa8ZE0IkX4v3fMwt9w0eSZOH2vkbmx1HmMRy+lcs14+jbZH4Sr1idpy/9e+rgho2DC2tKoS4N6ctiqaPvQbAwn0fENRBkxOJJM2w4qk/Fm3YsJ5ah/XIt2Yn+ktVq6g/Tyj/+BPNxs3SJ4nUTYZBIsmyHPsR64mfCGCl/5ZR2COsjB+rEvTy/rm7JnD5znmyRuWkY7lBCXZcIYQQqU/lPPVoXrIbAJM29uZszNGHOl4wV4X/DITObCBiWRfwxv3lfZVSDOqvKFYUYmOh/yDNnTvS6AghHt4dbyxzt78LQOsyvbEYVpMTCbPY/31VUMlmEJHO5DT3duiw5redYDGgZXMZBAlxv54r1p5IWzRnbx5jy7kfzY4jkrhg5sJ4nwgtL+hYNxYVd9XkRH/tpSbQ+LnQxUujxmhOn5E+SaReMgwSSZKOj8GxNrTMzuyjHTl+uyjDhyry50u4N/KH/9jFN4dmAtCz6rs4bVEJdmwhhBCpU/uy/SmTvRpufzwj13Yi3nfnoY4XzF0xtGScPQrr+W04l3YCd+xf3tfhUIwbE9oo9cxZGD5KNkoVQjy8JQemc8t9gzzpClG3QFOz4wiTGL/vxnJxJ9qw4Svb1uw4f+vfVwXVewqyZ5dhkBD3K409Lc8Xaw/Awr3vyx4r4m/5ynckkLUYyn0Lx88jk+RycUopenRTlC4F8fEwYJAmNjbp5RQiMcgwSCRJgdUjMOKvcfp2fmYe70LnTopqVRLuTbwv4GXSpt4EdZC6BZpSMdeTCXZsIYQQqZfFsDKo1nQyR2bn3K3jvLuhx0MvsRHMVR5Xk0/RjnRYLu3BuaQ9uGL+8r6ZMyvGjVU4HLBtO0z7WJocIcQ/F+O6ypIDob2C2pXrL1cFpWL/virIX6wROjqbyWnu7eQpzcZNoBS0bimDICEe1IslXsVuieDItd3subTJ7DgiqbPY8NQfhzasWE+uwXr0e7MT/SWbTTF6pCL7I3Dxdxg2Uk6cE6mTDINEkmM5swm9+yuCWjFizyieqm+nVYuErbHs0GzOxBwhXURGXq80MmEPLoQQIlXL4MzCsCdnYjVsbDjzHXN3TXjoYwazl8T18mcEnRmx/HEI56I2qDt//OV9ixZRDBkY+vBr0RJY+a00OUKIf2bhvg9x++Mpnq0c1fM+Y3YcYRJ1/QTWk2vRKLwVOpod52/Nmx963atVE/LkkWGQEA8qgzMLTxcOfQizYO/7JqcRyUEwSxG8lboA/9r7O+6ayYn+Wob0oRPnnBHw206YOl36JJH6yDBIJC2eO1hXDwHgy9MtsOUvQ78+CqUS7k389fgrzNs9EYBXyw8lXUSmBDu2EEIIAVA8a3l6VgkNgRbsfY/VxxY+9DGDWYrgajafYFRWLNdP4PyqFerm+b+8b+1aio7tQ6+dE6dodu2WRkcI8WCu3DnPysNzAehabVSCvh8XyYt9x2wAAgXroDPmNznNvZ08pVn7S+h2m1byMyvEP/Xy469jUVZ2X9rAkau7zI4jkgFfxc4EshRDuW/iWDMqSS4XB1CwgGLIoNDrw+Kl8O33STOnEOEiwyCRpBhrJ2CLv8z5uNysiOvJmJEKqzVh38TP3DEalz+OolnKUq9QswQ9thBCCPFvDQq/QotSPQGYsuktdv++8aGPqTPmx9X8C4Lp8mDcOo/zq5YY147/5X3btYE6tSEQgCHDNRcvSqMjhLh/M3eMwRf0Ujp7VSrlrWN2HGESdfMc1sMrAfBWeNXkNH9v9hyN1lC7FhQqKMMgIf6pbGlyU6fAiwAs3PuhyWlEsmCx4ak/NrRc3ImfsBz/wexEd1Wzxn9OnJs0RXPosPRJIvWQYZBIOk5tIvLwYgCmnB7DmPFRpEmTsG/gD1zZzs8nl6BQvFl5LIaSp4AQQojwaVe2H7XyPU9A+xm5tiNnbx576GPqdLlwNZtPIHNhjLirOBe1xri073/up5Ri0ABF0SIQGwv9B2nu3JFGRwjx9/Zf3sYvp5ejUHSpOFKuCkrF7NtmoHQA/6PVCWYvaXacezpyVLN+AxgGf37IJ4T455qVfBOFYtO5VZyNOWp2HJEMBLMWw/evEwcca8eC+5bJie6ubWuoXg18Phg8VHPjhvRJInWQT8JFkqA9d/B9MwyAJede4fW36/BItoR9Ax8IBvhwyyAAGhRuQdEsZRL0+EIIIcT/z1AG/aq/T4msFbjjvcXgH1sR47r60MfVabLieukzAtlLody3cC5pj+Xc1v+5n8OhGD9WkTkznDkLw0fJRqlCiHsL6iDTtg0F4OnCLSmY6TGTEwmzqFsXsB5eAYC38hsmp/l7sz4Nvb49VRcezSvDICEeVt70hama92kgtIecEPfDW6kLwYz5MeKv4Vj/rtlx7sowQvus5s0DV6/B0BHSJ4nUQYZBIkk4++kkMqjfuRifk/RNelO8mDXBa3x3dD4nbxwgjT0dHcsNTPDjCyGEEH/Fbo1gZJ05ZI/Oy+U75xj0Y0vivLcf/sDO9LiazMafpzLKF0/EN69hObHmf+6WOXNoIORwwLbt8OFUaXKEEHf33dH5HL++j0hbNO3L9Tc7jjCRfdsMVNCPP29VgjlKmx3nnvbt12zdBhYDOrSVQZAQCaV5yW4ArD31DZdvnzM5jUgWrHbcT40CwHZgKZZz20wOdHdRUYpxYxSRkbB3n/RJInWQYZAw3e5lW3jM9SUAB/KPpnL1NAle45b7OnN2jgdCS/akd2ZO8BpCCCHE3aR3ZmZcvQWkj8jE8ev7GPpzGzx+18Mf2B6Fu/EM/AXrogJeIlb2wHpo+f/crWgRxbDBoQ/Hln4Di5dKoyOE+F/X468w67exALQv258MziwmJxJmUbcuYj20DADvE11NTvP3/n1VUMOGkDOnDIOESChFs5ShbI4aBHWARfunmR1HJBPBnOXwlQzt0e34eRj43CYnurs8ef67T/p+lfRJImWTYZAw1f5dd8h/ILQ83C5LM6q2eCIsdebsfIfb3pvkz1CcRkXbhqWGEEIIcS+50hVgXL2FRNrSsO/yFsb80oVA0P/wB7bacT87BV/xxigdIGL1AGy7P/+fu9WsoXj9tVCj8+FUzabN0ugIIf7b9G3DiPPGUjhzKZ4r1t7sOMJE9u3/viqoCsEcSXt57Z27NLt2g80GbVvLIEiIhNaiVHcAVh1fyI34P0xOI5ILT/U+BKOyYtw8h33bdLPj3FO1qooO7UKvHxMna44ckT5JpFwyDBKmOXdOc/mLSeSMvMD1YA4KvtY3LHWOXdvLd0fnA9DtibexGAm/BJ0QQghxPwplLsnouvOwWyLYcu4H3t3Qk6AOPvyBDSue+mPxlmkNgGPdWOyb3gP9341Mi+bQ6BkIBmHEKM3x49LoCCFCtp9fwy+nl2Mog15VJ2IxLGZHEiZRty5gPfivq4IqJ+2rgrTWzJwdei17/jkSfN9ZIQSUeqQqRbOUxRfwsPTgJ2bHEcmFIxpPndAehLYdszGuHjE50L21awNVq4DXB4OGamJipE8SKZMMg4QpYm5qFry9gRdyhpaHszYejRGR8MvDBXWQj7YORqN5Mv+LPP5I5QSvIYQQp1X1uAAAIABJREFUQjyIUtmrMLT2JxjKws8nl/Depn5onQDNhjLw1hqIp0pobXf7thk4fhwC/+fqI6UUfXopypcDlxv6DdRcvSqNjhCpncsXxwdbBgDwYvFXKZTpcZMTCTPZN3+ICvpCewXlLGt2nHvatAUOHASHA1q3kEGQEOGglKJFqR4ArDwylzueWyYnEslFoGBd/IXqoXQAx4/DIBgwO9JdGYZi6CBF7tzwx1UYOkLj90ufJFIeGQaJROdyaUYOjqF7niEA3C7WCkvBKmGp9fOJxRz64zec1ig6VxwWlhpCCCHEg3oiTz0G1pyKoQy+P/Y5U7cNSaCBkMJX+Q3cdUeilYHt4NdErOgOvv/sT2S1KkaPUDyaF65eg/6DNPHx0ugIkZp9uGUgl++cJ0tUTtqW7Wd2HGEi4+oxrIdXAuCt1svkNPfm92umfxx6/XqpCWTKJMMgIcKlcu6neDR9EeJ9d1h+eI7ZcUQy4qk9GO2IxnJlP7Y9/7uUdVKSJo1i3BhFZCTs2QtTp0uPJFIeGQaJROX3a4aP1DSNGEPWiKt40uRD1e0dllp3vLHM/G0MAK1K9yJz5CNhqSOEEEL8E7XzN6ZvtfdQKJYdms0nO0YlzEAI8Jd8GXejD9AWB9ZT63Au6QCum39+PzpaMWG8In16OHYcRo3VBALS7AiRGv18Ygk/nliEoQwG1PgQpy3K7EjCRPbN76PQ+AvVJ5ithNlx7um7VXD2HKRLC63kqiAhwspQBq/8a++grw99gtsfb3IikVzoNFnxVA9tC2Hf+D7q1kWTE93bo3kVQwaGXlMWL4XVP0qPJFIWGQaJRKO15t3Jmuhz39Mg5yq0shB47h2wOcNSb/7uScS4rpIrbQFeLNE5LDWEEEKIh1Gv0Mv0qDIBgMUHpjNn5/gEGwgFCtbB1XQ22pEWy6U9RH7VCnX70p/fz5FdMX6swm6DjZtg2sfS6AiR2ly4dYr3N/cHoFXp3pTKHp6r9UXyYFzchfXkWrQy8FTtbnace4qP18z+NPS61a6tIk0aGQYJEW618j3PI2nycMt9g1XHFpgdRyQj/sebEshZHuV34fh5xP/sa5rU1KiuaNcmdHvCRM2Ro0k7rxAPQoZBItHMnqPZsfYKg0uOBsBb+XWCj4RnPfIzMUf45tAsALpWHoPNYg9LHSGEEOJhPVu0NW9WHgvAgn3vM2/3xAQ7djBnOVzN5hNMkw3jxkmcC1tgXDv+5/cfK6EYPCj0AdpXi+Gb5dLoCJFaeP1uxv7SBZc/jpKPPEHLUkl7STARZjqI45fxAPhLvIjOmN/kQPf2xULNjRjIlRMaP2d2GiFSB4thpVnJrgAs2j8dX8BrciKRbCgD91Oj0BY71rMbsR5eYXaiv9WhnaJKZfB6YfAwTcxN6ZNEyiDDIJEolq3QzJ2nGVF6CGntsQSyPYavYniu1tFaM3XrEII6QNU8T1MhV+2w1BFCCCESSuPiHelScSQA8/dM4vM9kxPs2MHMhXE1X0AwYwGMO5dxftUK4+KuP79fp7aic6fQQOi99zVbt0mjI0RKF9RBJmzowfHr+4h2ZGBgzalYDIvZsYSJrIdXYrmyH22LxJvErwq6cEGz4MvQ7ddfU9hsclWQEImlfsFmZHRm5WrcRdae+trsOCIZ0Rnz4X0iNEx0/DIOfeeqyYnuzTAUQwcrcuWCK1dg2AiN3y99kkj+ZBgkwm79Bs3k9zTNHl1Ilayb0RYH7qffAYstLPU2nPmW3Zc2YrdE0KXSiLDUEEIIIRJa08deo3OFYQDM3TWBBXs/SLBj67Q5iG82n0D20ihPLM4lHbCcXPvn91u3hKfrQyAIw0ZqTp6SRkeIlGzurgn8cno5FmVl+JMzyRKVw+xIwky+eOwbQicheCt1QUdlMTnQ3Wmtee9Djc8HFStAjepmJxIidbFbI2jy2GsAfLnvIwLBgMmJRHLiK9eeQJZiKPctAt8NNjvO34qOVowbo3A6YfcemDpdeiSR/MkwSITV3n2aEaM1uZ2n6fP4JAC8NfqGbdkBtz+e6dtHANDs8a5kj84bljpCCCFEOLz8+Bt0KDcIgE93vs2i/dMS7uDODLiafoo/fy1UwEPEim5Y9y8GQClFv76KMqUhPh7eGqC5dk2aHSFSoq8PzmTB3vcA6F1tIqWzVzM5kTCbfcenGHF/EEybE1/ZNmbHuacNG2HrNrDZoFcPhVJyVZAQia1R0baksafj/K0TbDq3yuw4Ijmx2PDUH4NWFvSBFVhO/Gx2or+V71HF0H8tq714Kaz+UXokkbzJMEiEzfETmv4DNQGfn/dqDMSu3PjzVMZXukXYai7c+yFX4y6SLU0umpd8M2x1hBBCiHBpUao77cr2A+CTHaNYevCThDu4zYn7uQ/xlXgRpYNE/DQM29bpoDU2m2LsKEWe3PDHH9C3vyYuTpodIVKSVccWMG3bUADalOlL/ULNTU4kzKZuX8b222wAPDX6gtVhcqK7c7s1738Uel16pRnkziWDICHMEGlLQ+PiHQBYuPcDtJb3i+L+BbMWx1ehIwCONaPAHWtyor9Xo7qi3b/OlZgwUXPkqPzMi+RLhkEiLM5f0PR5S3MnDoZXn0o+2360IxpP/bdBhefH7vfYsyw6EDqDukvFkTiszrDUEUIIIcKtVenetC7dG4Dp24ax7NDshDu4YcVTbwzeiqElPhybP8C+dgwEA6RNq5g4QZExA5w4Gdos1eeTZkeIlOCbg7OYtDH0e+Wlx7rQunQfkxOJpMDxy3iU300gZzkCheqbHeee5n2uuXIFsmWDNq1kECSEmV4o3okIq5Pj1/ex8/dfzY4jkhlv5TcgUwGMuKs41k8wO8596dBOUaUyeL0waKgmJkZ6JJE8yTBIJLirVzW9+mhuxMALJbfSKP1MADx1R6Cjs4et7vTtw/AFPJTNUYNqeRuGrY4QQgiRGNqUeYsWJXsA8NHWwaw4PDfhDq4U3mo98dQejEZh37uAiO/6gN9DjuyKCeMVzgj4bSe8M1HLGZ9CJGNBHWT2b28zddsQABoX70jnCsNleS2B5cTPWI//gFYWPLUHQRL+mTh+XPPFwtDt7l0VERFJN6sQqUG6iEw0LNIagAV73zc5jUh2rA4sL4T2qrMdWIrl3BaTA/09w1AMHazIlSu0isLQERq/X3okkfzIMEgkqFu3NL3e0ly+AsUfvcHgYgNQaHyPNcFfJHwDmu0X1rLl3A9YlJWulcdIcyuEECLZU0rRvtwAmj3eFYAPtgzgu6OfJ2gNX5lWeJ6ZhLbYsB7/gYivO4PnNkWLKEaNVFgMWP0DzJwtjY4QydEt93UG/diShfs+AKB92QF0rSTvlQXgjg0tzwP4yncgmLW4yYHuzufTjB2vCQSgZg2oUd3sREIICF1lajVs7Lu8hYNXdpgdRyQzRt5KeEuFtpFw/DQMfPEmJ/p70dGKcWMUTifs2QsfTZceSSQ/MgwSCSY+XtN3gObMGciSWTOzwWCsrqsEMxYInWkWJr6Al2lbQ2ufv1C8I3nTFw5bLSGEECIxKaXoVH4ITUqElnR7b9NbrD62MEFr+Is8jfuFT9D2KKwXtuNc1AZ15w+eqKR4q2/oA+N5n8OyFdLsCJFcaK1Zd2oZnZfV4beL63BYnPSr/gEtS/eUQZAAwLF+AkbcVYLp84aW60nC5n2uOXES0qeDvr2U/AwLkURkicrBUwVfAvjzpAMhHoS3em+C0dkxbl3Avil5XGGW71HF0EGh16ElS2Hlt9IjieRFhkEiQXi9moFDNIcPQ9q08Nlr84n6fT3aYsf9zGSwRYat9teHZnIh9iQZnFloXaZv2OoIIYQQZlBK0aXiCBoX74hGM2ljb346sThBawTyVMb18jyCkZmxXD2C88sWqJjTPNtQ0aFdqNmZ/J5m4yZpdoRIyoI6yM6Lv9JtZUPG/tKF6/GXyZW2AB82+o56hV42O55IIizHf8J2YCkahbveaLBFmB3pro4e08ybH7rdu5ciQwYZBAmRlDR7vCsKxdbzP3HqxiGz44jkxh6Fp+4IAGy75mP8vsfUOPerRvX/9EgTp2h27ZYeSSQfMgwSD83v14wco9m5C5xOmDboENkPhtb+9NTsTzBL+K7UuRZ/mc93h2p1Kj+YKHt02GoJIYQQZlFK0bXSGBoVbYtG8+6GHqw5+XWC1ghmLY6r+QKC6fNgxF4k8suWGJf3074tPNsQgkEYPkpz8JA0O0IkBVpr4ry3+T32DJvP/cCM7SNps7gS/X9oxpFru4mwRtKubD8+abyG/BmT7hJgInGp25eJ+Cm0qoKvfAeCuSqYnOjuvF7N2HGaQBCerA1P1pJBkBBJTa50BaiRrxEA83ZPNDmNSI4C+WrgK/YcCo3jpyHg95od6b60bwt160AgAIOHac6dlx5JJA8yDBIPRWvNxMmaX9eDzQYTRsRT/FAfVNCHv2Bd/KVeCWv9WTvG4PLHUSxLOZ4qKGc7CiGESLmUUnR7YhzPFGlNUAd5Z/2brDu1LEFr6PS5cTVfQCBbCZQrBufidljPbqJvb0XlSuDxQP+BmnPnpNkRwkxaa5p9WYrnPy9EmyWVGfZzWxYfmM7lO+eJtEXTuHhH5jXdSqvSvbFbk+5VHyKRBf04VvVHuW8RyFYCb9XuZie6p2kzNKdOQ/r00KuHDIKESKralO6DQrHx7Pccubrb7DgiGfLUGkAwMhOW6yexb5tudpz7opRiYD9FieJw+zb0G6iJjZUeSSR9MgwS/5jWmmkfa779HgwDRgyFyteGY9w8RzA6O+6nRkMY13M+cGU7P59cgkLx5hNjMZT8OAshhEjZDGXQo8o7NCj0CkEdZNyvXVl/5tsEraEjM+F66TP8eaugfPFELHudiGMrGTVcUbQI3LwFvd7SXPlDmh0hzOL2x3PD9QcADouTvOkL07BwKwbX+phFr+zlzcpjyRiZ1eSUIqmx/zoB64XtaKsT99PvgsVudqS72rhJs2Rp6Pag/ooM6WUYJERSlTdDEeoWbArAnF3vmJxGJEvODHieHAKAbftMjEv7TA50fxwOxbgximzZ4MIFGDJc4/NJjySSNvn0XPxjc+fBwq9Ct/v1VdSNmoft6Pdow4q74URwpg9b7UAwwEdbBwPQoHALimQuHbZaQgghRFJiKINeVSfyVMGXCOoAY9d1YdPZ1QlbxB6Fu/F0fEWeQQX9RKzuT7pDc3l3vCJ3brhyBXr31dy8Kc2OEGZb0uIAs19cT+9qE6mdvzER1vDt1SmSL+v+xdh3hzbfcTcYj86Yz+REd3flD83b74ReX5q9DFWekEGQEEld69J9sSgrOy/+wt5Lm82OI5KhQOEG+Io0ROkAEav7g89ldqT7kjGjYsI4hdMJu3bDpCkaraVHEkmXDIPEP7LwK83sOaFfbt27Kp57fAf29aH1Yb01+xPMWTas9Vcd+4IT1/cTZU9Lh3IDwlpLCCGESGoshoW+1d7jyfwvEtB+Rq97la3nfkzgInY8DSfgLdsWAMf6CWTb9y5T3tVkzQJnz0Hf/pr4eGl2hBAiKbOc+hXHmtEAeJ54k0DheiYnujuXSzNwsCY2FooWgS6vyiBIiOQgR9q8NCzSEoBPd46XD8PFP+J5cijBqKwYMWf+/IwxOSiQXzFymMIw4Nvv/3PivBBJkQyDxAP7Zrlm6vTQC/urHRXNGlwh4rveKB3AV6wRvtItw1r/lvsGn+4cD0C7Mv3I4MwS1npCCCFEUmQxLPSv8QG18j2PP+hj5NpO7Lz4a8IWUQbemv3xVO8LgH3nHPLuHsjkCX7SpYUjR2HgEI3HIw2/EEIkRZYzm4hY2R0V9OEr8gy+ym+YHemugkHN2HGaY8dD+wSNHqGw2WQYJERy0bJ0L+yWCA7+sZ3tF9aYHUckR870eBq8DYB97wIsZzaaHOj+VXlC8ebrodesaR9rfloj/ZFImmQYJB7Iqh80k6aEfqG1bgltX/ER8W1PjPjrBLIUxVN3ZFj3CQKY9dtYYj03eDRDUZ4r1i6stYQQQoikzGJYGVhzKtUffQZf0MvwNe04cGV7whZRCl+FjrgbjEMrC7bDKym6qytT3o7H6YSdu2DkGI3fLw2PEEIkJZZT64hY3hUV8OIvUAdPg3Fh79UexszZml/Wg9UKY0cpsmdPulmFEP8rc+QjPF+sPRDaOyiogyYnEslRIG9VvP86ydzxwyBwxZic6P691BSaNgndHjtO89tO6Y9E0iPDIHHf1v6iGfevtZubNoHOHcGxdjSWS3vRjrS4G30ANmdYMxy8soNVx74AoMcT72AxrGGtJ4QQQiR1oYHQNCrkrI3b72LwT604fn1/gtfxF2+Mu/E0tNWJ9exGSu3twKThMdhssH4DTJioCQal4RFCCNMF/di2TCViWVdUwIM/fy3cz04Gi83sZHe14EvN/FCbR78+ilIlZRAkRHLUvOSbRNrScOL6fjac+dbsOCKZ8lbvQzBDPoy4qzjWjIJksuygUoruXRVP1ga/HwYN1Rw7njyyi9RDhkHivmzeohk5WhMMwrMNQ/sE2ffMx3ZgCVoZuBtORKfPHdYM/qCP9zb3A6BBoVd4/JFKYa0nhBBCJBd2i4PhdWbzeLbKxHljGfBDM87ePJbgdQL5auB6aQ46Ij2WK/upfKglE/pfxDDg+9Xw7iQZCAkhhJn09VM4F7XFseUjFBrf4y+HTtqz2M2OdlfLlmumfRx67ejSWdHwaRkECZFcpYvIRJMSrwHw2a53CQT9JicSyZLNifvpd0KrEhxbjfXg12Ynum+GoRgyUFGmNMTHQ99+mt8vSX8kkg4ZBom/9dtOzZBhmkAA6taBt/oobGc3YP91AgDeGm8RyFc97Dm+OTiL0zGHiXZk4NUKQ8JeTwghhEhOIqyRjH5qHoUzleSW+wb9Vzfj8u1zCV4nmL0U8c0XEEybA+PmWWqebMG7vY5iGLDyO3h3sgyEhBAiUWgd+i/gxXJyHY5ve+H/oDqW33eh7WlwPz0Bz1Mjk+wVQVprvliomfh/liFv1UIGQUIkd00f60K0IwPnbh3n55NLzI4jkqngI4/jrdodAMea0RhXj5qc6P7Z7YpxYxQFCsCNGOj9liYmRvojkTTIMEjc0569mgGDNV4fVK8KQwYqbDEniPiuN0oH8T3WFF/ZtmHP8cedi3y2+10AOlcYSrqITGGvKYQQQiQ3aexpGVd/IXnTF+Za/CXeWv0S1+IvJ3gdnTEfruYLCWQujBF3jSfPtuG9bjtCA6FvYeIUGQgJIURYee4QNa0yUe+XJOr9UjiXv4Ht2GoIBvDnq0F862/wF2tkdsq7CgQ0H03XTJ8Req1o8Qp07iSDICFSgih7NM1LvgnAvN0T8QY8JicSyZWvQif8j1ZHBTxErOwBnjtmR7pvadIoJr2jeCQbXLgAvfpqYm9LfyTMJ8MgcVd79mr69te43VCxAowcrrD6bhKx/A2UN45Argp46gxNlE1Ip20bitsfT4msFalfqHnY6wkhhBDJVbqITLzTYBHZo/Ny6fZZ+q9+mVvu6wleR6fJiuvl+QRylkd571D93KtMe/1HDANWrIRJMhASQoiwUbcuoDyxqKAfBQSjMuMt2xbrGz/jfmEGOl0usyPe1bXrml59NV8tCn39RhfFG68ZqEToK4UQieP5Yu3J6MzKlTsX+O7IfLPjiORKGbiffodgdHaMm2dx/Dws2ewfBJA5s2LyREXGDHDiJLzVXxMfn3zyi5RJhkHiL/3/g6BxYxR25cL5TReMWxcIpsuNq9H7ibL29NbzP7Hx7PcYykKPKu9gKPmxFUIIIe4lc+QjTGiwiEyRj3D25jEG/vAKcd7bCV8oIi2uJrPwF3wKFfBR6XxvZr/6JUrB8pUwfoImEJCGRwghEprOkOfP23EdfiS+8694aw1AZX/MxFT3prVm7S+a9p00u3aDMwKGD1W0aC5DICFSmghrJG3K9AVg/p7J3PHcMjmRSLacGXA/MwltWLEdXYV170KzEz2QPLkVUyYp0qaFg4eg/yCNxyP9kTCPfKou/seevZq3/r9BkMPqJ2JlTyyX96Ed6XA1ngbODGHPEue9zfubBwDQpERn8mcsFvaaQgghREqQPTovExosIl1ERo5d38fQn1vj9scnfCGrA/ezU/CVbIZCU+bSaBZ0+BDD0Hy/GkaO0Xh90vAIIUS46KhMkMRPmDtxUtOnn2bYCE1MDBQoALNmKJ6qI4MgIVKqpwu3IE/6QsR6brBw3wdmxxHJWDBHGbzV+wDg+HU8xuX9Jid6MAXyKyZNUERGwu49MGS4xif9kTBJ0n7HKBLd3n2hQZDr/w6C7BrHj0OwntmAtkbgemE6OlPBRMkzc8dorsZdJHt03j/PKhFCCCHE/cmbvjDj631JpC2afZe3MnJNR3wBb8IXMix46gzHU6UbAMWufsyydiNw2PysXQc9e9+WM+CEECIV0FqjdWiZ0PMXNIsWa7p0DdKuo2b7DrDZoH1b+GSaIm9eGQQJkZJZDCudyw8F4OtDs7hy57zJiURy5ivbFn+BOqiAj4gV3VFx18yO9ECKFVVMGKdwOGDLVhg+SgZCwhwyDBJ/2rtP07dfaBBUofy/BkEOhX39JGyHV6CVBfezUwjmKJMoeXb/vpFvj84DoE+1yThtUYlSVwghhEhJCmUuydv1viDC6mTHxXWM+/UNAkF/whdSCl/lN3DXHYlWBnmuLWFly55ER7j4db2PfgNljWwhhEjJbsQEeeZ5Tb2nNfWf0bzSSvPBVM2Bg2Ax4MnaMG+OomN7A4dDBkFCpAaVcj9F6exV8QU8fLpzvNlxRHKmFO4G4whmyIdx5zIRK3tAOE5yC6PSpRRvj1bYbLB+Q+gKIa9X+iORuGQYJID/HQSNHxsaBNm2f4J956cAeOqNIZC/VqLkiffeYdLG3gA0KtqW0tmrJkpdIYQQIiV6LFtFRtaZi82ws/7Mt0ze1IegDoallr/ky7gbvY+2OMh6Yx3fNWlPnvR/sHMX9OmnuX1bGh4hhEiJjhyB2FhwucHlArsNSpWEnt0VSxcpRg03yJ1LhkBCpCZKKTpXGAbAmpNLOXJ1l8mJRLLmiMb1/FS0IxrL77twrB0DOnn1FpUqKsaPVdjtsGkzDBwiewiJxCXDIHHPQZBj4xQAPNX74C/RONEyfbRxKJfvnCNbmly8WmFootUVQgghUqpyOWsyuNbHGMrCD8e/Yvq2YegwNU+BgnVxNZ2NjkhP2tv7WVqvOeWyH2D/AejRW3P9ujQ8QgiR0pQu9Z/bM6fDj6sUUz8waPqiInNmGQIJkVoVzlyKugWaAvDRlsFhOyFJpA46Yz7cDSeiUdj2L8a6d6HZkR5YpYqKd8crIiJg23boN1Djdkt/JBKHDINSufsaBFXpjq9Cp0TLtP/yVr7aPQ2A3lUnEWlLk2i1hRBCiJSs2qMNeav6ewB8c2gWc3dNCFutYM5yxLdYRCBTAWzuK8ys3JYXCq3m2HHo0lVz7pw0PEIIkZIo9Z+Bz6OPKqxWGQAJIUJerTCUSFsajlzbzQ/HvzQ7jkjmAvlq4K0eWk3Ise5tLKfWmZzowZUrq5g0QeF0ws5d0Le/Ji5O+iMRfjIMSsV2/Kbp869BUPlydxkEVe2Br/LriZbJ7Y9n4sZeADxduCXlctZMtNpCCCFEavBUwZfo9sQ4AL7YO4Wv9k8NWy2dPjeu5l+iCtfBCLgZXqwP/cpP5fLlIF3e1OzbLw2PEEIIIURKlykyG23K9AVg1m9juO25aXIikdz5ynfEV+IFlA4Q8W1vjN/3mB3pgZUqqZgyUREVBXv2QvdempgY6Y9EeMkwKJXauFnTf6DG7YZKFeGdtxUOO9g3f/Tfg6BKXRI118fbRnAx9jRZ0+TktYrDE7W2EEIIkVo8X6w9ncoPBmDmjtF8e2Re+Io50mBpOQ9vufYAtMgxjem1++KNc9Gzj+bX9dLwCCGEEEKkdI2LdyRP+kLcct8I69XpIpVQCk/dkfgfrY7yu3Euex0Vc9rsVA/ssRKK9ycr0qeHo8fg9W6aS5ekPxLhI8OgVGjNOs3goRqvD2pUh3FjFA5bEMfPI7BvDZ0d7KnaM9EHQZvOruLbo/NQKEY2mEUae9pErS+EEEKkJs1LduOVkt0BeH9zf9ac/DpstZRhwVuzH+56Y9CGjcrRP7CofhvSG5cZMlzz+QIdtv2LhBBCCCGE+ayGjW6VQ1enrzwyl5PXD5qcSCR7FhvuZ6cQyPYYyn0T59JXUbevmJ3qgRUtopj2oeKRbHDhAnR5U3PylPRGIjxkGJTKfL9KM3K0JhCAenVh1HCFXXmIWNkD2/5FaBTuOsPxVXotUXNdi7/MpI19AHjp8depmPfJRK0vhBBCpEYdyg3k+WLt0WjeWd+NTWdXh7We/7EmuF6ag3ZmII/1EEvrNadk+t18/Ilm5BjZOFUIIYQQIiUrk6MaNfM9R1AH+XDrIDkZSDw8exTuFz4mmD4PRuxFnEvao+Kump3qgeXJrfh4qiJ/Prh+Hbp21+zdJ88PkfBkGJSKfL1M8/Y7mmAQGj0LgwcqrP5YnF93wnpyDdpix93oPfylmidqrqAOMmF9d2I9NyiUqSTtyw5I1PpCCCFEaqWUomvlsTxV8CWCOsCYdZ3ZdHZVWGsGc5YjvsViApkKEc1V5lRvS6fCn7B2TYA3umkuX5GmRwghhBAipXqtwnAirE4OXNnG6uMLzY4jUgAdmQlXk08JRmfHiDlNxJL2EH/D7FgPLHNmxUcfKB5/DO7cgZ59ND/+JL2RSFgyDEolFnypmfxe6BfIy02hXx+F9dZpIhc0w3JxJ9qeBteLMwkUqpfo2Rbvn8au39fjsDgZVGsaNos90TMIIYQQqZWhDPpWm0KNRxvhC3oZubYTPx5fFNaaOl1OXK8sxFe0EQYB3iz6PjOrd+bGuat0ek2ze480PUIIIYQQKVHWNDlpU+YtAGZsH8mS/Q09AAAgAElEQVT1+OS3rJdIenS6nLhemkswTTYs10/iXNIBXDFmx3pgaaMVUyYqatYAnw9GjdXMnhOUq+hEgpFhUAqntWbWp0GmfRz6pdG2NXTrqrCe/oXIBc0wbp4lGJ0dV7PPCeaumOj59lzaxOydbwPwRuXR5E5XMNEzCCGEEKmdxbAyuNZ06hdqRlAHmLChO98cmhXeovYoPE+/g7v+OLTVSbkMW1la50WK2zbQo7dm3ueaYFCaHiGEEEKIlKZJic4UzlyKO95bfLhlkNlxRAqh0+fB1XQOwajMWK4dJfKr1qjbl8yO9cAiIhSjRyhavhL6es5nMGK0xuOR3kg8PBkGpWCBgGbiZM3ceaGvX3tV8WoHhX3HTCKWdUV57xDIWZ74lksIZimS6PmuxV1izLrXCOogTxV8iYaFWyZ6BiGEEEKEWAwrfapN4cXirwIwdesQPt8zObxnoSmFv0Rj4lstIZClKOmsN5j2RBd6FpvAZ5+66NtfE3NTmh4hhBBCiJTEYljpW20KFmVl49nvWH/mW7MjiRRCZ8yHq2noCiHjxkmcC1tgXDtudqwHZhiK118zGNBPYbHAmrXQo7cmJkZ6I/FwZBiUQnk8mmEjNctXglLQt5ei9Ys3iVjRDcfGKSg0vlLNcTWdDZEZEz2fL+Bl9LrO3HRfI3+G4vSo8g5KqUTPIYQQQoj/MJTB65VG0aZMXwDm7prAjO0jwr4sgc6YH9crX+ItHToxpE2Bz1hUuwmeE7tp30mzZ680PUIIIYQQKUn+jMVpXrIbAB9uGchtz02TE4mUQmcqgKv5AoIZC2DcuYzzq1YYF3eZHesfebZhaNm46Gg4cBA6v645dVp6I/HPyTAoBbp9W9Onn+bX9WCzwegRiiZlthE5rzHWk2vQFhvuuiPw1BkOJu3PM2PHSA7+sYMoe1pG1PmUCGukKTmEEEII8d+UUrQp05c3Ko0GYMnBGby7oQe+gDe8ha0OvE8OwdV4OsGorOSNOsOcaq1pm+0d3uoTz0fTgrI0ghBCCCFECtKydE/ypCtEjOsqH28fYXYckYLotDmIbzafQPbSKE8sziUdsJxYY3asf6RsGcWMaYpcOeHSZXj9Tc2mzdIXiX9GhkEpzLXrmjd7avbshagomDLORb3A2ziXtMeI+4Ngxvy4XvkKf8lmpmVcfuhTlh2aDcCAGh+RI+2jpmURQgghxF97scSrvFX9PQxl8OOJRfT/oRmxnvBvwhrIX4v4tivxlXgBQ2laF5jH4pqN+f3XdbTvpDl4SBofIYQQQoiUwG5x0KfaZBSKH45/ydbzP5kdSaQkzgy4mn6KP38tVMBDxIpu2LbPhDCvehAOeXKHBkKlS0FcHPQfFNojPhBIfv8WYS4ZBqUg585rXu+qOXkSMmaAuUO2U2VvY+x7PgfA9/jLxLdcTDBrMdMybj73A1O3DQGgfdkBPJGnnmlZhBBCCHFv9Qs1Z0zd+UTa0rDv8ha6rXyGC7dOhb9wRFo89d/G9cIMgmkeIVfUBT6o9CZ9s7/BuP6n+fiTIF6vND5CCCGEEMldiWwVaFKiMwATN/QixnXV5EQiRbE5cT/3Ib6SzVBoHBsn4/i+L/hcZid7YOnShZaMa/pi6Ou586DfQE1srPRF4v7JMCiF2L1H06Wr5tJlKJLnFl+3H0WhLe0xbl0gGJ0dV5NZeJ4aCTbzlmM7cnUXY9d1IaiDPF24JS1K9TAtixBCCCHuT8XcdXjvmZVkjcrJxdhTdFvZkO0X1iZK7UC+GsS3+xZvhU5ow0qNR35lcc3nybHvbXq+foNDh6XxEUIIIYRI7jqUG0i+DMW46b7GpI29w75fpUhlDCueuiNw1xmONqzYjn6P86uWqJvnzE72wGw2Rc/uBkMHKRwO2LYdOnbWHD0mzxlxf2QYlAKsWq3p1VdzJzbAm5UWsaBSQ9Kf+AoAX8lmxLddSSBvVVMzXow9zZCfWuMJuKiQszY9qoxHKWVqJiGEEELcn/wZi/FRo1UUzVKW296bDP6xJZ/tmkAgGAh/cXsU3up9iG+zHH++mtgMPy3yf8HUwg3YMmkmUybFceuWND9CCCGEEMmV3RrBwJrTsBl2tp7/ie+Ozjc7kkiB/KWa42r6KUFnRix/HCby8yZYj64yO9Y/Ur9eaNm4nDlC+wh16apZtETLIFX8LRkGJWPBoOaTWUHGjteUTPsbK555mU7ZRmLx3CSQqSCupnPx1B0B9ihTc165c563VjXlpvs6BTI+xtAnZ2I1bKZmEkIIIcSDyRiZlckNv6FR0bZoNPP3TGbgj68k2lIeOmN+3C98jKvpHLyZihFtu0OP4lN401uXH4ZM5cflNwgGpfkRQgghhEiO8mcsRsfygwGYvm0452+dMDmRSImCuSrgarWEQI6yKO8dIr7rjeOn4eBzmx3tgRUsoJg1Q1G9Gvh88MFHmgGDNTdvSk8k7k6GQcmUx6MZMVqzbcVhPqj4Bp9Wa0suyxG0Iy2e2oNxtf6GQJ5KZsfkWtwl+q5qyh9xF8mVtgDj6i0g0pbG7FhCCCGE+AfsFgc9qrzDwJpTibA62fX7ejp9U5MNZ75LtAyBPJXxtlmCu8F4XM7cZHDcpEO+qTx9tA5bRozh3K7jiZZFCCGEEEIknBdLvErZHDXwBFyM++UNfAGv2ZFECqSjs+N6+TO8FV9Do7DtX0TkF00wrhw0O9oDi45WvD1a0auHwm6DTZuhXSfNrt0yEBJ/TYZBydD165px/U5RP7YPX9VqSo1HfkUrC76SzYhrvwpfmVZgWM2OyZU7F+iz6kUu3T5L9ui8THx6CRkjs5odSwghhBAPqU6BJnzUaBX5MxTnlvsGI9d2ZNyvXbntuZk4AZSBv/jzBF77nrgGk7hmK47T6qZ++gUU/+U5Yia9jGfTQnDHJk4eIYQQQgjx0Axl0K/6+0Tb03Ps+j5m7BhpdiSRUhlWvNV64m4yk2BUZowbp3AubI5t63QI+s1O90CUUjR5QTFjuiJvHrh2DXr01sz6NIjfL0Mh8d9kGJTMnN68j7OTezAhTyPq51wNgK/IM8S3+za0JFxkRlPz/dvvsWfo/X1jLsae5pE0eXi3wWIyR2U3O5YQQgghEsijGYry0XOraFGyB4YyWHNyKR2+rs6ak18n3lrVhhVdvCERby7hUt1POeB7El/QSm61n0zbRhExrTq2r7tiPbQM3LcSJ5MQQgghhPjHMkdlp3+NDwBYdmg2604tMzmRSMkCeasS32YFvsINUEE/js0f4FzYAuPqUbOjPbBCBUPLxj3bELSGufOgey/N5csyEBL/IcOg5EAHMU79yp3p7Xh8azNqZPoJQ2lu56hNfOtleJ6ZiM7wqNkp/3Ts2l56ffc8V+5cIGfa/Ex5ZhmPROcxO5YQQgghEpjd4qBD+YG8/8y35E5XkBjXVcb9+gb9Vr/EuZuJuFybUkSXfIJH+09lT621fHHtLY7HFsKKF8eZtUSsHkjUx9WIWNoR229zMP44BDqYePmEEEIIIcR9q5ynHq+U7A7A5I19ZP8gEV7ODHiemYz76QloRzSWK/txftEU+8b3wO8xO90DcToVA/oZjBiqiIyEffuhbUfNqtU68U7YE0maDIOSMlcMtt/m4JzdgMhlXXjEtQ1f0Mp27/Ncf3k5qvk0glmKmJ3yv2w6u5re3zfmuusKj2YoyuSG35AlKofZsYQQQggRRsWylmVG4zW0LzsAuyWC3Zc20nnZk3yweQDX4i4lbpbyWXhubHuO1V5Gt8NL+fjoGxyPLYQK+rGe3Yxj/QQiP29C1LTKRCxuj339RKxHV6Fung+dQieEEEIIIUzXrmw/Sj1SBZc/jpFrOuLyxZkdSaRkSuEv1oj4tt/iL/gUKujHvn0GkfOex3J+u9npHljdOoo5sxSPPwZxcTB2vGbQEE1MjPQ7qZ35G8uI/+b3Yjn9C7ZDK7CcXo8K+gC47Ytm+fkXoHJbnm+ZHaWUyUH/WyAY4PM9k/h8zxQ0mvI5azO09idE2aPNjiaEEEKIRGC3OGhZuidPFniBj7YOZtv5n1lxZC6rji+kaalXeaFw50TbO1ApRc2aiqpVi7F8ZTFenduVtP4z1Mj2C3XybePxtL9h9dzGen4rnN/659/TjrQE0+clmC4nOl1ugulyodPlIpgmKzoyE0SkAyXnUgkhhBBChJvFsDK41sd0WV6XMzeP8s76bgx7chaGvBcTYaTTZMX93AdYTvyMY81ojJtncS5ui++xJnhqvBXqB5KJnDkUH70PC76E2XM0GzbB/oOat/pAzepJ63NlkXiUvs9rxGJiYsKdxTQZMmQw99+nNcalPdgOLcd6dDXK85817Y/GFuOrU83YFPsMA4ZEUaF80nuyxriuMn59N3Ze/AWA54q2o2vlMViMfz5rNP0xEf9FHo+kRR6PpEcek6RFHo+kYc+lTczdNYEDV7YB4LA4aVikJY2KtiVP+kKJmiUuTvPFQs1Xi8HjAavy0bDcCVo/eYhH7QcxrhzEuHYUFfDd8zhaGeiI9OBMj45Ih3akRducYI0AqyN02xKBv3ADglmT1tXb/1dKfI5kyJAh7DWS0v8zly+ORvMLALCy9Umctqiw1kuJPzPJni+eNB+WA+BOt51giwTMfaxcLs1TT4c+XvhplcLpTHq9a1Iiz6vkQx4rcx36Yyd9vn8BX9BL69K9aVu2313vK49V8pEsHivPbRwbJ2Pb+yUAwcjMeGsNwF+kISSxk/T/zvETmjFva06eCn3doD50f1ORNvr+/h3J4vES99UTyTAI836g1c3zWA+vwHZ4BcbNc3/+eSAyKxtin+XDDc9x8nYhypSGYYMVWbIkvV80G898z3ub3+Km+zoOi5OeVSfwVMGXHvq48ksmaZHHI2mRxyPpkcckaZHHI+nQWrPr9w18vm8S+y9t+/PPS2evyrNF2vBEnno4rM5Ey3P9umb+As3yFeD719ynfDno1EHxWFEfxo3TqFvnMW5dQN26gPHv23HXUJ7Y+66j7WmI67o9yTaJKfE5IsMgGQalOjIMSvbkeZV8yGNlvh+Pf8WEDT0AGFr7E2rme+4v7yePVfKRnB4r4+JOIn4ahnEjNEnx562C58lh6Ax5TU72YLxezew5moVfQTAImTJC717qvq4SSk6PV2p2Pz2RLBOX2FwxWI//hO3wCiwXd/75x9oWib9gXY45n2PgzIqcu2jBMEIfTrRuCRZL0nojfTXud2ZsH8kvp5cDkC9DMQbWnEb+jMVMTiaEEEKIpEIpRbmcNahT4jl+PriM5YfnsO38T+y5tIk9lzbhtEZRJW8DauV7nnI5amC3RoQ1T6ZMip7dFC2aaeZ9rln5Hfy2E37bqalS2UqH9oUpWqQIgb/6ywEfyhUT+s99C9w3Ue5YlN8Nfjf4PSjPbey7PkN574Df9eeHs0IIIYQQ4p+rV6gZp24cYsnBGUxY34PMkdkpka2C2bFEKhHMWY74Vt9g+20W9m0zsJ7djGXec3grdsZX4VWw2s2OeF/sdsXrrymqVdWMe0dz7jwMHqqpVVPTq7siU6ak9dmzCA8ZBiUCdfsK1pM/Yzn+M5YLO1A69BGDRhHIUxl/8eeJy12HmfMj+WpxaO/irFlh+BBFqZJJ64noC3hZenAGn++Zgtsfj6EMXn68K23K9MVucZgdTwghhBBJkFKK8jlrUT5nLa7cucD3R7/gpxOL+CPuImtOLmXN/2vvzuOjqu7/j7/vzGSyJ4QtQBJ2wqq4sIMLi6hAEEG01SJUrShq7eLPWnGp1taqrVVAq/26oCiuYAVcQFDAQlgFUQTZlwQMW4CErDNzfn+MCaQJmMCEOzN5PR+PPBjuvXPPmXzOcm8+c+/dOkNuZ5TOSe6pC1IuVrdml6pV/Y61dk/4xo0t3fM7S9f/3Gjq60Zz50pLl0lLlxn16WU09kZLnTv9zzGYM0ImrrFM3Cmee1RaIPdXr9VKnQEAAOqyX3V/ULuPbtXy3fP1wGdj9M+h/1HLpA52Vwt1hcut0l4T5Gk/VJGfPyrXzqWKzJyiiI1zVDzwYXmb97K7htV2ThdLr74kTZ1mNH26tHCRtPoro1/fKV0xWEH3nHoEFsmgWmLl7pRr6wK5Ns+Tc+/XFdZ5G3WQp8NQeToMk4lvovXfGf31DqOdP94pbsgV0l13WIqv5n0bzwavz6PPt32gN9Y+reyj2yVJnRt31529/qJ2Dc+1uXYAACBUJMel6pcX/kFjL/h/2rj/Ky3c9qEW75ijAwV7tXrPIq3es0j/pz8rPjJJrZM6qmVSB7VK6qCWSR3UNL6F6kU1lNPhrLDPsrse1/TEpVlTS/f/wdKYG4ymvmb02YLjSaEe3Y3G3Wjp3HOC53gMAACgrnI6XHqw/79176fX6rt9q3Tf3J/r2WGzlRyXanfVUIeYpBYqGvmSXJs+kXvh43Lk7lD0+79UaccMlVx8r0xsQ7urWC2RkZbG32JpwCVGjz9ptGmz9JfHjT6bL937e6lJE86BwhXJoEDxFMuZtUrO7Yvk2vGlHLk7Kqz2NjtfnraXydN2kEy9NEn+hxm/NNmnGR8cv1fjvfdY6tsneDrcsZI8zdvyjv7z3cvlSaCk6Ea6tftDGtTmGrLFAADgtDgshzo17qZOjbvp9p6Paufh77V6z2Ktzl6kdT9kKq84V1//sFRf/7C0wvuclkv1Y5KVFN1QUa4YRTqjtOngOjWOTdHzw+ee1rFJWqqlBydaGjfWaNobRnPnSStWSitWGl1wvj8pdP55fEsOAADATlGuGD122TT99qOrtPPwJv3h0+v09yEz1DCmid1VQ11iWfK0HyJPi35yL3lWEV+/pYgNs+XatkjFF/1OnnNGS7V0h4NAa9fO0r//Jb31jvTqVKMVK6UxvzS69Rbp6qskl4vzn3BDMugMWEey5dyxWK7ti+XctVyWp7B8nXG45E3tJk+7wfK2GVjhliLGGH2+UJo0xejgQf+yywZJv/21pYQE+zuZ1+fR2r1L9Pm2mVq8fY4KPcckSQmR9TW6y+26qtMvFRMRZ3MtAQBAuLAsSy1/vPpnVOdbVeot0fbcDdqR+712HN6oHbkbtSP3ex0o2Cuv8Wj/sWztP5ZdYR9Hig6qyFOg6IjY065HWqql+++zNPZGozemG33yqfTVGumrNUZdz5XG3Sh1u5CkEAAAgF0SIpP0t8vf1t1zMpR1dKvu+XgUCSHYIypBJQMflKfzCEXOf1jOfRsUNf9P8q7/QMWDHpWvUbrdNawWl8v/vPpLLpL+9pTRum+kZycbfThb+vUdUo/unPuEE5JBNeEpkXPPajm3L5Zr+5dyHNpaYbUvtrG8rS6Wp9VF8jbvI0VWTpjs2m30zCR/plWSUlOk3/3Gsr1jHSk6pK/3LtFXe7/Uf3d8rMNFB8rXNa/XTsM7jNPgdteRBAIAALUuwulWesOuSm/YtcJyr8+j3ML92n9sr44UHVCRp1BHi3M1KfO+gJaf0szSH+6xNHaM0ZtvGc35SPp6nfTbe4w6d5LGjZV69SApBAAAYIdGsc30jyEzdc8no5R1dKt+//FI/ePKGUpKSrK7aqiDfE3OUeH17ypi7XS5lzwr596vFf3mKJV2v1klPW+XXKHxjPXmzS1NeVb6cLb00stGO3ZIv/t/Rn16G91/n1f1Eu2uIQKBZNCpeErkyPlGzt3L5dy9Us49a2R5i8tXG8spX7Pz5Gl1ibytLpKvYXvpJH8UyM01euU1o1mzJK9PckdIv7jB0g0/99+n8Wzy+jzafWSLNu5fo+8PrNV3+1Zr26H1MjLl2yRE1tclrTI0oPVIdUnuwR87AACA7ZwOlxrGNlXD2KblywpLjwU8GVSmSbKl3//G0o03GL35ttGs2dL676T/9wejDu39Vwr17UNSCAAA4GxrGt9C/7hypn7/yUhlH92m3348Qs+P/kjxCo1ntiDMOFwqveBGedoNVuTnj8m1dYHcy1+Ua9NcFV32qHyp3e2uYbU4HJauvkoaOECa+prRjA+kpZnSiFGHNXKENG6spYQgesY9ao5k0IkKD8u5b70ce9fJmbVCzj1rZXmKKmzii20ob8uL5Gl1sf/qn6iEU+6yqMjonfekN98yKijwL+vTW7rrDktpqYHpPD/k7db+Y3vkNaUq9ZbK4ytVqa9ExZ5CHSk6pCNFB3W46IBy8rO0N2+ncvKz5DPeSvtpWa+9zm92kbqn9NcFKRfL5YgISP0AAABCWaNGln5zl6Ux1xu99Y7Rf2ZJG7+X7pto1K6tPyl0UT8pNO4MDgAAEB6axDfX00M+0D2fXKO9eTv1y7cu1WODXleHRhfYXTXUUSa+iYqumiLn5nmK/PzPcuTuUMy7N6r03OtUfNHvpch4u6tYLQnxln59p6URw42mPG+0dJn07vvS3HlGN/1SuiqD5wmFqrqbDCo6Iue+jXLkfCtP7ibF7F4jx5HdlTbzxTSQN7W7vGk95E3tIVO/9Umv/jnR0Tyj/3wovTfDKDfXv6x9unTH7ZYuOD9wnWXboe90638G1Ph9Ua4YpTfsqvYNz1OHRufrnOReqh/T+KffCAAAUEc1aGDpzgmWbvi50dvvGs38QNq8RZr4kFHrVtJN1xsNs7uSAAAAdUhyXJomDZujifNu0KaD63TPJ6P0QP9/q1faZXZXDXWYt91gFaT1UuSXf1fEN+8pYt07cm5bqOKBD8vbpr/d1au25s0tPfk3S+u/i9XjT+Zpxw7pn88affAhzxMKVaGbDDI/3tKsqsSMMVJpgayCg7Lyc+Q4vFuOw7tkHdn14+vdsoqPHN9cx7/J6avXXN7kzvKmdJM3rYdM/TbVSv6U2bfP6J33/bcRKSz0L2vaRLr1V5YG9vdfbhdIse7jVyalJbaV2xmlCEeEIpyRinC6lRhZX4nRDVQvqoEaxTZT0/gWahbfUvVjkuWw+P4qAABATSUlWbp9vKXrf2b07vtG78+Utm2XHvub0bCh/m08HiMXF1kDAADUuqToRvrHkA/0+Je3a+mOeXpo/jj9uvfjGtbhRrurhrosKkHFlz0qT4dhivzsQTkO71L0hxNU2n6ISvrfLxPTwO4aVlu/vm5NfcnSrDnSy68cf55Qr55G42+x1K4dSaFQEZrJIJ9PMS8PklVaIG/jTrK8JZKnWPIUySo5JqvgUIVn+5x0NwnN5Es+R+6W3XQssY28jTtJUTV/GpbPZ7T6K+k/s4z+u0Ty/ngHtjatpet/ZmnggNq7dC4h8vjD8Z4fPlfREbG1Ug4AAAAqSky09KubLf3sWn9C6MMZx9fdfKvRddcbDb6MWygAAADUtuiIWD09YqYe/uhmzd38jp5Zeq827P9Kd/X+q6JcMXZXD3WYN62HCsZ8KHfmFEWsflUR338s186lKr70j/J0zKjRRQh2crksjRwhDRp4/HlCy5ZLy5Yb9b/U6OZfWmrZIjQ+S10WmsmgY/vkyNsrSXLtyjzpZsYVJRPbSL56aTKJafLVa/Hj6+by1UuVIvyTQXRSkrxl93KrgX37jObNl2bNMdqz5/jy87pKN1xvqVcPHigMAAAQ7uLjLf1yrHTtVZb0in9Z9h7pr08Yvfq6NOYG6crLpYgIjgsBAABqS4QzQvf0e0apCW316lePa+7mt7X5wDo9NOAlpSa2trt6qMsiolRy8T3ytL9SkfMekHP/RkV9+gd5Ns5R8aA/ySQ0s7uG1Vb+PKGrjF6ZarTgc+mLhdKixUaDLzMaO8ZSWirnPcEqNJNBUcdvjVY06FGZqATJFSm5ImUiYmRiGsjE1C9P9gSKMUa7s6QlS/0N/Nv1x9fFxUqXD5aGZ1hq05oGDwAAUNfExh4/Brz1Zkuvvyvt3Ss9+XejqT8mhYZeKbndHCsCAADUBsuy9POud6lDo/P1l4XjtS33O9324UDddOH9uqrjTXI6nHZXEXWYL7mzCq9/VxGrXpF72XNy7fhSztcyVNLnLpWe/wvJETp/qm+eZulPD1oac4PRy68aLf5S+nSuNO8z/5VCY26w1LYN5z3BJnRa2El4Og4NeNLnRAUFRl9/Iy1bZrRsuf9bnmUsSzqnizR0iKUBl0rR0TRwAAAASNeOtjR8pKUPZ0vT3zLat0/6xz+NXp8mXf9zafgwKTKSY0cAAIDacH6zfnrhqvn62+I7tXbvEj2//EEt2j5Lv+v7d7VIam939VCXOSNU2nO8PO0uU9RnD8mZvVqRi56Qa8MsFQ96VL4mXeyuYY20aW3pr3+2tHGj0SuvGS3NlBZ8Li343KhPb39S6JwunPcEi5BPBgWSz2e0d6/03Ubp22+Nvlkvbd0ieX3Ht3G5pK7nShf3s3TJxVLDhjRmAAAAVBYVZem60dKI4dKcj6Q3phvtPyA9O9lo2hvSz3/mX8cXigAAAAKvYWxTPXnFe/r4+zf075WPav2+lbr1PwN1VaebdON5v1dcZM2fGw4EiqnfWoXXvi7XtzMVufjvcu7boOi3rlPpeTeopO/dkju0ngvfoYOlJx+3tHmL0RtvGn2+UFqaKS3NNOrU0ei60f6/pfM8VXvVuWSQMUb5+dK+/dK+fdIPOVJWdr6++86nrdukgoLK70lOlnr2kHr3tHThBVJMDI0WAAAA1RMZaWnUSCljmPTxp9K0N41ycqTn/mX05nTpZ9dJI0dwjAkAABBoDsuhYR1uVI/UgZqybKKW7vpUM9f/W59vnaEbzvuthqb/Qm5XlN3VRF1lOeQ55xp52/SXe+ETitg4W+410+TaNFclF/1Wno7DJcthdy1rpF1bS488bOnmm4ymv2U09zPpuw3Sw48aNW7sv0PCsCFcYGGXsEgGHcr1aWmmVFxsyeORSkulkhLpWIHRsXwpP1/Ky5cOHvIngConfIrLX7kjpDZt/Ld/69zZUpfOUnJjGicAAADOjNttacRw/3OD5s6TXn/TaM8e6YV/G01/W7r2GumakVJcHMeeAAAAgdQ4LkWPDpqqVW89xDIAACAASURBVNkL9fyyB7XryGY9t+wBvf31ZI0+Z4KGdRijKFftPYYCOBUT00DFQ56Up/NVipz/qBxHdinq0z/Ku+ZNFV/yB/lSu9ldxRprnmbpvnst3XqL0X9mSR986L919kuvGL06Verb1+iqDEvdu0kOB+c/Z0vIJ4OMMRozVjpyVJJMtd+XkCA1biQ1bix1aB+l1NRitW0jNU/jcjUAAADUnogIS8OGSldcLn22QHptmlFWlv/EaPrbUsZQo9GjLDVpwjEpAABAIHVLuVT/vvpzfbJput76epL2HcvWCyse1tvrJmt4x3Eakn6DGsY2tbuaqKO8LfqqYOwsRXz1utwrXpQz51vFvDtGnnaDVXzRPTL10uyuYo3Vr2/ppnHSDT+XFi6SPpxttO4bafGX0uIvjZo29X9ZbkB/fwIJtSv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\n",
       "text/plain": [
-       "<Figure size 993.6x331.2 with 2 Axes>"
+       "<Figure size 1656x552 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -313,7 +428,7 @@
     }
    ],
    "source": [
-    "pm.densityplot(traces, var_names=['alpha', 'sigma']);"
+    "az.plot_density(traces, var_names=[\"alpha\", \"sigma\"]);"
    ]
   },
   {
@@ -325,18 +440,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/junpenglao/Documents/pymc3/pymc3/stats.py:219: UserWarning: For one or more samples the posterior variance of the\n",
-      "        log predictive densities exceeds 0.4. This could be indication of\n",
-      "        WAIC starting to fail see http://arxiv.org/abs/1507.04544 for details\n",
-      "        \n",
-      "  \"\"\")\n"
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:153: UserWarning: \n",
+      "The scale is now log by default. Use 'scale' argument or 'stats.ic_scale' rcParam if you rely on a specific value.\n",
+      "A higher log-score (or a lower deviance) indicates a model with better predictive accuracy.\n",
+      "  \"\\nThe scale is now log by default. Use 'scale' argument or \"\n"
      ]
     },
     {
@@ -360,65 +474,78 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>WAIC</th>\n",
-       "      <th>pWAIC</th>\n",
-       "      <th>dWAIC</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>loo</th>\n",
+       "      <th>p_loo</th>\n",
+       "      <th>d_loo</th>\n",
        "      <th>weight</th>\n",
-       "      <th>SE</th>\n",
-       "      <th>dSE</th>\n",
-       "      <th>var_warn</th>\n",
+       "      <th>se</th>\n",
+       "      <th>dse</th>\n",
+       "      <th>warning</th>\n",
+       "      <th>loo_scale</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>-15.44</td>\n",
-       "      <td>2.58</td>\n",
+       "      <th>model_2</th>\n",
        "      <td>0</td>\n",
-       "      <td>0.89</td>\n",
-       "      <td>4.76</td>\n",
+       "      <td>7.53849</td>\n",
+       "      <td>2.75606</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
+       "      <td>0.891482</td>\n",
+       "      <td>1.51983</td>\n",
+       "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>log</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>-8.88</td>\n",
-       "      <td>2.05</td>\n",
-       "      <td>6.56</td>\n",
-       "      <td>0.04</td>\n",
-       "      <td>3.96</td>\n",
-       "      <td>2.1</td>\n",
+       "      <th>model_1</th>\n",
        "      <td>1</td>\n",
+       "      <td>4.34659</td>\n",
+       "      <td>2.12112</td>\n",
+       "      <td>3.1919</td>\n",
+       "      <td>0.049511</td>\n",
+       "      <td>2.05449</td>\n",
+       "      <td>1.0935</td>\n",
+       "      <td>False</td>\n",
+       "      <td>log</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>-7.13</td>\n",
-       "      <td>1.94</td>\n",
-       "      <td>8.31</td>\n",
-       "      <td>0.07</td>\n",
-       "      <td>2.95</td>\n",
-       "      <td>4.13</td>\n",
-       "      <td>0</td>\n",
+       "      <th>model_0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3.52401</td>\n",
+       "      <td>2.0026</td>\n",
+       "      <td>4.01448</td>\n",
+       "      <td>0.0590069</td>\n",
+       "      <td>2.44782</td>\n",
+       "      <td>2.10575</td>\n",
+       "      <td>False</td>\n",
+       "      <td>log</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "    WAIC pWAIC dWAIC weight    SE   dSE var_warn\n",
-       "2 -15.44  2.58     0   0.89  4.76     0        1\n",
-       "1  -8.88  2.05  6.56   0.04  3.96   2.1        1\n",
-       "0  -7.13  1.94  8.31   0.07  2.95  4.13        0"
+       "        rank      loo    p_loo    d_loo     weight       se      dse warning  \\\n",
+       "model_2    0  7.53849  2.75606        0   0.891482  1.51983        0   False   \n",
+       "model_1    1  4.34659  2.12112   3.1919   0.049511  2.05449   1.0935   False   \n",
+       "model_0    2  3.52401   2.0026  4.01448  0.0590069  2.44782  2.10575   False   \n",
+       "\n",
+       "        loo_scale  \n",
+       "model_2       log  \n",
+       "model_1       log  \n",
+       "model_0       log  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "model_dict = dict(zip([model_0, model_1, model_2], traces))\n",
-    "comp = pm.compare(model_dict, method='BB-pseudo-BMA')\n",
+    "model_dict = dict(zip([\"model_0\", \"model_1\", \"model_2\"], traces))\n",
+    "comp = az.compare(model_dict)\n",
     "comp"
    ]
   },
@@ -435,13 +562,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
-    "ppc_w = pm.sample_posterior_predictive_w(traces, 1000, [model_0, model_1, model_2],\n",
-    "                        weights=comp.weight.sort_index(ascending=True),\n",
-    "                        progressbar=False)"
+    "ppc_w = pm.sample_posterior_predictive_w(\n",
+    "    traces,\n",
+    "    1000,\n",
+    "    [model_0, model_1, model_2],\n",
+    "    weights=comp.weight.sort_index(ascending=True),\n",
+    "    progressbar=False,\n",
+    ")"
    ]
   },
   {
@@ -455,12 +586,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/osvaldo/proyectos/00_BM/pymc3/pymc3/sampling.py:1708: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n",
+      "  \"samples parameter is smaller than nchains times ndraws, some draws \"\n"
+     ]
+    }
+   ],
    "source": [
-    "ppc_2 = pm.sample_posterior_predictive(trace_2, 1000, model_2,\n",
-    "                     progressbar=False)"
+    "ppc_2 = pm.sample_posterior_predictive(trace_2, 1000, model_2, progressbar=False)"
    ]
   },
   {
@@ -472,14 +611,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:488: FutureWarning: hdi currently interprets 2d data as (draw, shape) but this will change in a future release to (chain, draw) for coherence with other functions\n",
+      "  FutureWarning,\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 720x480 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -487,18 +634,20 @@
     }
    ],
    "source": [
-    "mean_w = ppc_w['kcal'].mean()\n",
-    "hpd_w = pm.hpd(ppc_w['kcal']).mean(0)\n",
+    "mean_w = ppc_w[\"kcal\"].mean()\n",
+    "hpd_w = az.hdi(ppc_w[\"kcal\"]).mean(0)\n",
     "\n",
-    "mean = ppc_2['kcal'].mean()\n",
-    "hpd = pm.hpd(ppc_2['kcal']).mean(0)\n",
+    "mean = ppc_2[\"kcal\"].mean()\n",
+    "hpd = az.hdi(ppc_2[\"kcal\"]).mean(0)\n",
     "\n",
-    "plt.errorbar(mean, 1, xerr=[[mean - hpd]], fmt='o', label='model 2')\n",
-    "plt.errorbar(mean_w, 0, xerr=[[mean_w - hpd_w]], fmt='o', label='weighted models')\n",
+    "plt.plot(mean_w, 1, \"C0o\", label=\"weighted models\")\n",
+    "plt.hlines(1, *hpd_w, \"C0\")\n",
+    "plt.plot(mean, 0, \"C1o\", label=\"model 2\")\n",
+    "plt.hlines(0, *hpd, \"C1\")\n",
     "\n",
     "plt.yticks([])\n",
     "plt.ylim(-1, 2)\n",
-    "plt.xlabel('kcal per g')\n",
+    "plt.xlabel(\"kcal per g\")\n",
     "plt.legend();"
    ]
   },
@@ -517,26 +666,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "pymc3 3.8\n",
-      "arviz 0.8.3\n",
-      "numpy 1.17.5\n",
-      "last updated: Thu Jun 11 2020 \n",
+      "pymc3    3.9.3\n",
+      "json     2.0.9\n",
+      "numpy    1.18.5\n",
+      "arviz    0.9.0\n",
+      "pandas   1.0.5\n",
+      "autopep8 1.5\n",
+      "last updated: Fri Aug 07 2020 \n",
       "\n",
-      "CPython 3.8.2\n",
-      "IPython 7.11.0\n",
+      "CPython 3.7.6\n",
+      "IPython 7.16.1\n",
       "watermark 2.0.2\n"
      ]
     }
    ],
    "source": [
-    "%load_ext watermark\n",
     "%watermark -n -u -v -iv -w"
    ]
   }
@@ -557,7 +708,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,
diff --git a/docs/source/notebooks/model_comparison.ipynb b/docs/source/notebooks/model_comparison.ipynb
index 7e519fb738b..6bc5c166d56 100644
--- a/docs/source/notebooks/model_comparison.ipynb
+++ b/docs/source/notebooks/model_comparison.ipynb
@@ -1,25 +1,34 @@
 {
  "cells": [
   {
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 1,
    "metadata": {},
+   "outputs": [],
    "source": [
-    "# Model comparison\n",
-    "\n",
-    "To demonstrate the use of model comparison criteria in PyMC3, we implement the **8 schools** example from Section 5.5 of Gelman et al (2003), which attempts to infer the effects of coaching on SAT scores of students from 8 schools. Below, we fit a **pooled model**, which assumes a single fixed effect across all schools, and a **hierarchical model** that allows for a random effect that partially pools the data."
+    "import arviz as az\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pymc3 as pm"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "import pymc3 as pm\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "plt.style.use('seaborn-darkgrid')"
+    "%load_ext watermark\n",
+    "az.style.use('arviz-darkgrid')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Model comparison\n",
+    "\n",
+    "To demonstrate the use of model comparison criteria in PyMC3, we implement the **8 schools** example from Section 5.5 of Gelman et al (2003), which attempts to infer the effects of coaching on SAT scores of students from 8 schools. Below, we fit a **pooled model**, which assumes a single fixed effect across all schools, and a **hierarchical model** that allows for a random effect that partially pools the data."
    ]
   },
   {
@@ -31,13 +40,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "J = 8\n",
-    "y = np.array([28,  8, -3,  7, -1,  1, 18, 12])\n",
-    "sigma = np.array([15, 10, 16, 11,  9, 11, 10, 18])"
+    "y = np.array([28, 8, -3, 7, -1, 1, 18, 12])\n",
+    "sigma = np.array([15, 10, 16, 11, 9, 11, 10, 18])"
    ]
   },
   {
@@ -49,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -59,30 +68,65 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [mu]\n",
-      "Sampling 2 chains: 100%|██████████| 3000/3000 [00:01<00:00, 1622.25draws/s]\n"
+      "NUTS: [mu]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "        <style>\n",
+       "            /* Turns off some styling */\n",
+       "            progress {\n",
+       "                /* gets rid of default border in Firefox and Opera. */\n",
+       "                border: none;\n",
+       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "                background-size: auto;\n",
+       "            }\n",
+       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "                background: #F44336;\n",
+       "            }\n",
+       "        </style>\n",
+       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [6000/6000 00:01<00:00 Sampling 2 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 2 seconds.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as pooled:\n",
-    "    mu = pm.Normal('mu', 0, sigma=1e6)\n",
-    "    \n",
-    "    obs = pm.Normal('obs', mu, sigma=sigma, observed=y)\n",
-    "    \n",
-    "    trace_p = pm.sample(1000)"
+    "    mu = pm.Normal(\"mu\", 0, sigma=1e6)\n",
+    "\n",
+    "    obs = pm.Normal(\"obs\", mu, sigma=sigma, observed=y)\n",
+    "\n",
+    "    trace_p = pm.sample(2000, return_inferencedata=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 864x144 with 2 Axes>"
+       "<Figure size 1200x200 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -90,7 +134,7 @@
     }
    ],
    "source": [
-    "pm.traceplot(trace_p);"
+    "az.plot_trace(trace_p);"
    ]
   },
   {
@@ -102,7 +146,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -112,44 +156,70 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (2 chains in 2 jobs)\n",
-      "NUTS: [tau, mu, eta]\n",
-      "Sampling 2 chains: 100%|██████████| 3000/3000 [00:02<00:00, 1359.34draws/s]\n",
-      "There were 4 divergences after tuning. Increase `target_accept` or reparameterize.\n"
+      "NUTS: [tau, mu, eta]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "        <style>\n",
+       "            /* Turns off some styling */\n",
+       "            progress {\n",
+       "                /* gets rid of default border in Firefox and Opera. */\n",
+       "                border: none;\n",
+       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
+       "                background-size: auto;\n",
+       "            }\n",
+       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
+       "                background: #F44336;\n",
+       "            }\n",
+       "        </style>\n",
+       "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [6000/6000 00:04<00:00 Sampling 2 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 5 seconds.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as hierarchical:\n",
-    "    \n",
-    "    eta = pm.Normal('eta', 0, 1, shape=J)\n",
-    "    mu = pm.Normal('mu', 0, sigma=1e6)\n",
-    "    tau = pm.HalfCauchy('tau', 5)\n",
-    "    \n",
-    "    theta = pm.Deterministic('theta', mu + tau*eta)\n",
-    "    \n",
-    "    obs = pm.Normal('obs', theta, sigma=sigma, observed=y)\n",
-    "    \n",
-    "    trace_h = pm.sample(1000)"
+    "\n",
+    "    eta = pm.Normal(\"eta\", 0, 1, shape=J)\n",
+    "    mu = pm.Normal(\"mu\", 0, sigma=10)\n",
+    "    tau = pm.HalfNormal(\"tau\", 10)\n",
+    "\n",
+    "    theta = pm.Deterministic(\"theta\", mu + tau * eta)\n",
+    "\n",
+    "    obs = pm.Normal(\"obs\", theta, sigma=sigma, observed=y)\n",
+    "\n",
+    "    trace_h = pm.sample(2000, target_accept=0.9, return_inferencedata=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/junpenglao/Documents/pymc3/pymc3/plots/__init__.py:40: UserWarning: Keyword argument `varnames` renamed to `var_names`, and will be removed in pymc3 3.8\n",
-      "  warnings.warn('Keyword argument `{old}` renamed to `{new}`, and will be removed in pymc3 3.8'.format(old=old, new=new))\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 864x144 with 2 Axes>"
+       "<Figure size 1200x200 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -157,27 +227,19 @@
     }
    ],
    "source": [
-    "pm.traceplot(trace_h, varnames=['mu']);"
+    "az.plot_trace(trace_h, var_names=\"mu\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/junpenglao/Documents/pymc3/pymc3/plots/__init__.py:40: UserWarning: Keyword argument `varnames` renamed to `var_names`, and will be removed in pymc3 3.8\n",
-      "  warnings.warn('Keyword argument `{old}` renamed to `{new}`, and will be removed in pymc3 3.8'.format(old=old, new=new))\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 432x403.2 with 1 Axes>"
+       "<Figure size 600x560 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -185,77 +247,81 @@
     }
    ],
    "source": [
-    "pm.forestplot(trace_h, varnames=['theta']);"
+    "az.plot_forest(trace_h, var_names=\"theta\");"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "### Leave-one-out Cross-validation (LOO)\n",
+    "\n",
+    "LOO cross-validation is an estimate of the out-of-sample predictive fit. In cross-validation, the data are repeatedly partitioned into training and holdout sets, iteratively fitting the model with the former and evaluating the fit with the holdout data. Vehtari et al. (2016) introduced an efficient computation of LOO from MCMC samples (without the need for re-fitting the data). THis approximation is base on importance sampling. The importance weights are stabilized using a method known as Pareto-smoothed importance sampling (PSIS).\n",
+    "\n",
     "### Widely-applicable Information Criterion (WAIC)\n",
     "\n",
-    "WAIC (Watanabe 2010) is a fully Bayesian criterion for estimating out-of-sample expectation, using the computed log pointwise posterior predictive density (LPPD) and correcting for the effective number of parameters to adjust for overfitting."
+    "WAIC (Watanabe 2010) is a fully Bayesian criterion for estimating out-of-sample expectation, using the computed log pointwise posterior predictive density (LPPD) and correcting for the effective number of parameters to adjust for overfitting.\n",
+    "\n",
+    "By default ArviZ use LOO, but WAIC is also available."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "61.173190685882204"
+       "-30.52450734558507"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pooled_waic = pm.waic(trace_p, pooled)\n",
-    "    \n",
-    "pooled_waic.WAIC"
+    "pooled_loo = pm.loo(trace_p, pooled)\n",
+    "\n",
+    "pooled_loo.loo"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:685: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
+      "  \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n"
+     ]
+    },
     {
      "data": {
       "text/plain": [
-       "61.38571263305805"
+       "-30.71250214161087"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "hierarchical_waic = pm.waic(trace_h, hierarchical)\n",
-    "    \n",
-    "hierarchical_waic.WAIC"
+    "hierarchical_loo = pm.loo(trace_h, hierarchical)\n",
+    "\n",
+    "hierarchical_loo.loo"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "PyMC3 includes two convenience functions to help compare WAIC for different models. The first of this functions is `compare`, this one computes WAIC (or LOO) from a set of traces and models and returns a DataFrame."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "hierarchical.name = 'hierarchical'\n",
-    "pooled.name = 'pooled'"
+    "ArviZ includes two convenience functions to help compare LOO for different models. The first of this functions is `compare`, this one computes WAIC (or LOO) from a set of traces and models and returns a DataFrame."
    ]
   },
   {
@@ -263,6 +329,18 @@
    "execution_count": 11,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:153: UserWarning: \n",
+      "The scale is now log by default. Use 'scale' argument or 'stats.ic_scale' rcParam if you rely on a specific value.\n",
+      "A higher log-score (or a lower deviance) indicates a model with better predictive accuracy.\n",
+      "  \"\\nThe scale is now log by default. Use 'scale' argument or \"\n",
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:685: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
+      "  \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n"
+     ]
+    },
     {
      "data": {
       "text/html": [
@@ -284,44 +362,54 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>WAIC</th>\n",
-       "      <th>pWAIC</th>\n",
-       "      <th>dWAIC</th>\n",
+       "      <th>rank</th>\n",
+       "      <th>loo</th>\n",
+       "      <th>p_loo</th>\n",
+       "      <th>d_loo</th>\n",
        "      <th>weight</th>\n",
-       "      <th>SE</th>\n",
-       "      <th>dSE</th>\n",
-       "      <th>var_warn</th>\n",
+       "      <th>se</th>\n",
+       "      <th>dse</th>\n",
+       "      <th>warning</th>\n",
+       "      <th>loo_scale</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>pooled</th>\n",
-       "      <td>61.17</td>\n",
-       "      <td>0.69</td>\n",
        "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.2</td>\n",
+       "      <td>-30.5245</td>\n",
+       "      <td>0.645944</td>\n",
        "      <td>0</td>\n",
+       "      <td>0.546435</td>\n",
+       "      <td>0.978518</td>\n",
        "      <td>0</td>\n",
+       "      <td>False</td>\n",
+       "      <td>log</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>hierarchical</th>\n",
-       "      <td>61.39</td>\n",
-       "      <td>0.99</td>\n",
-       "      <td>0.21</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2.01</td>\n",
-       "      <td>0.31</td>\n",
-       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-30.7125</td>\n",
+       "      <td>1.08653</td>\n",
+       "      <td>0.187995</td>\n",
+       "      <td>0.453565</td>\n",
+       "      <td>1.01539</td>\n",
+       "      <td>0.225854</td>\n",
+       "      <td>True</td>\n",
+       "      <td>log</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "               WAIC pWAIC dWAIC weight    SE   dSE var_warn\n",
-       "pooled        61.17  0.69     0      1   2.2     0        0\n",
-       "hierarchical  61.39  0.99  0.21      0  2.01  0.31        0"
+       "             rank      loo     p_loo     d_loo    weight        se       dse  \\\n",
+       "pooled          0 -30.5245  0.645944         0  0.546435  0.978518         0   \n",
+       "hierarchical    1 -30.7125   1.08653  0.187995  0.453565   1.01539  0.225854   \n",
+       "\n",
+       "             warning loo_scale  \n",
+       "pooled         False       log  \n",
+       "hierarchical    True       log  "
       ]
      },
      "execution_count": 11,
@@ -330,30 +418,35 @@
     }
    ],
    "source": [
-    "df_comp_WAIC = pm.compare({hierarchical: trace_h, pooled: trace_p})\n",
-    "df_comp_WAIC"
+    "df_comp_loo = az.compare({\"hierarchical\": trace_h, \"pooled\": trace_p})\n",
+    "df_comp_loo"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We have many columns so let check one by one the meaning of them:\n",
+    "We have many columns, so let's check out their meaning one by one:\n",
     "\n",
+    "0) The index are the names of the models taken from the keys of the dictionary passed to `compare(.)`.\n",
     "\n",
-    "1. The first column clearly contains the values of WAIC. The DataFrame is always sorted from lowest to highest WAIC. The index reflects the order in which the models are passed to this function.\n",
+    "1) **rank**, the ranking on the models starting from 0 (best model) to the number of models.\n",
     "\n",
-    "2. The second column is the estimated effective number of parameters. In general, models with more parameters will be more flexible to fit data and at the same time could also lead to overfitting. Thus we can interpret pWAIC as a penalization term, intuitively we can also interpret it as measure of how flexible each model is in fitting the data. \n",
+    "2) **loo**, the values of LOO(or WAIC). The DataFrame is always sorted from best LOO/WAIC to worst. \n",
     "\n",
-    "3. The third column is the relative difference between the value of WAIC for the top-ranked model and the value of WAIC for each model. For this reason we will always get a value of 0 for the first model.\n",
+    "3) **p_loo**, the value of the penalization term. We can roughly think of this value as the estimated effective number of parameters (but do not take that too seriously).\n",
     "\n",
-    "4. Sometimes when comparing models, we do not want to select the \"best\" model, instead we want to perform predictions by averaging along all the models (or at least several models). Ideally we would like to perform a weighted average, giving more weight to the model that seems to explain/predict the data better. There are many approaches to perform this task, one of them is to use Akaike weights based on the values of WAIC for each model. These weights can be loosely interpreted as the probability of each model (among the compared models) given the data. One caveat of this approach is that the weights are based on point estimates of WAIC (i.e. the uncertainty is ignored).\n",
+    "4) **d_loo**, the relative difference between the value of LOO/WAIC for the top-ranked model and the value of LOO/WAIC for each model. For this reason we will always get a value of 0 for the first model.\n",
     "\n",
-    "5. The fifth column records the standard error for the WAIC computations. The standard error can be useful to assess the uncertainty of the WAIC estimates. Nevertheless, caution need to be taken because the estimation of the standard error assumes normality and hence could be problematic when the sample size is low.\n",
+    "5) **weight**, the weights assigned to each model. These weights can be loosely interpreted as the probability of each model (among the compared models) given the data.\n",
     "\n",
-    "6. In the same way that we can compute the standard error for each value of WAIC, we can compute the standard error of the differences between two values of WAIC. Notice that both quantities are not necessarily the same, the reason is that the uncertainty about WAIC is correlated between models. This quantity is always 0 for the top-ranked model.\n",
+    "6) **se**, the standard error for the LOO/WAIC computations. The standard error can be useful to assess the uncertainty of the LOO/WAIC estimates. By default these errors are computed using stacking.\n",
     "\n",
-    "7. Finally we have the last column named \"warning\". A value of 1 indicates that the computation of WAIC may not be reliable, this warning is based on an empirical determined cutoff value and need to be interpreted with caution. For more details you can read this [paper](https://arxiv.org/abs/1507.04544)."
+    "7) **dse**, the standard errors of the difference between two values of LOO/WAIC. The same way that we can compute the standard error for each value of LOO/WAIC, we can compute the standard error of the differences between two values of LOO/WAIC. Notice that both quantities are not necessarily the same, the reason is that the uncertainty about LOO/WAIC is correlated between models. This quantity is always 0 for the top-ranked model.\n",
+    "\n",
+    "8) **warning**, If `True` the computation of LOO/WAIC may not be reliable.\n",
+    "\n",
+    "9) **loo_scale**, the scale of the reported values. The default is the log scale as previously mentioned. Other options are deviance -- this is the log-score multiplied by -2 (this reverts the order: a higher LOO/WAIC will be better) -- and negative-log -- this is the log-score multiplied by -1 (as with the deviance scale, a lower value is better)."
    ]
   },
   {
@@ -370,9 +463,9 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x144 with 1 Axes>"
+       "<Figure size 600x200 with 1 Axes>"
       ]
      },
      "metadata": {},
@@ -380,194 +473,27 @@
     }
    ],
    "source": [
-    "pm.compareplot(df_comp_WAIC);"
+    "az.plot_compare(df_comp_loo, insample_dev=False);"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The empty circle represents the values of WAIC and the black error bars associated with them are the values of the standard deviation of WAIC. \n",
+    "The empty circle represents the values of LOO and the black error bars associated with them are the values of the standard deviation of LOO. \n",
     "\n",
-    "The value of the lowest WAIC is also indicated with a vertical dashed grey line to ease comparison with other WAIC values.\n",
-    "\n",
-    "The filled black dots are the in-sample deviance of each model, which for WAIC is  2 pWAIC from the corresponding WAIC value.\n",
+    "The value of the highest LOO is also indicated with a vertical dashed grey line to ease comparison with other LOO values.\n",
     "\n",
     "For all models except the top-ranked one we also get a triangle indicating the value of the difference of WAIC between that model and the top model and a grey errobar indicating the standard error of the differences between the top-ranked WAIC and WAIC for each model."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Leave-one-out Cross-validation (LOO)\n",
-    "\n",
-    "LOO cross-validation is an estimate of the out-of-sample predictive fit. In cross-validation, the data are repeatedly partitioned into training and holdout sets, iteratively fitting the model with the former and evaluating the fit with the holdout data. Vehtari et al. (2016) introduced an efficient computation of LOO from MCMC samples, which are corrected using Pareto-smoothed importance sampling (PSIS) to provide an estimate of point-wise out-of-sample prediction accuracy."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "61.203032352985645"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "pooled_loo = pm.loo(trace_p, pooled)\n",
-    "    \n",
-    "pooled_loo.LOO"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "61.47557753820364"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "hierarchical_loo  = pm.loo(trace_h, hierarchical)\n",
-    "    \n",
-    "hierarchical_loo.LOO"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "We can also use `compare` with LOO."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "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>LOO</th>\n",
-       "      <th>pLOO</th>\n",
-       "      <th>dLOO</th>\n",
-       "      <th>weight</th>\n",
-       "      <th>SE</th>\n",
-       "      <th>dSE</th>\n",
-       "      <th>shape_warn</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>pooled</th>\n",
-       "      <td>61.2</td>\n",
-       "      <td>0.7</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2.21</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>hierarchical</th>\n",
-       "      <td>61.48</td>\n",
-       "      <td>1.03</td>\n",
-       "      <td>0.27</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2.01</td>\n",
-       "      <td>0.31</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                LOO  pLOO  dLOO weight    SE   dSE shape_warn\n",
-       "pooled         61.2   0.7     0      1  2.21     0          0\n",
-       "hierarchical  61.48  1.03  0.27      0  2.01  0.31          0"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df_comp_LOO = pm.compare({hierarchical: trace_h, pooled: trace_p}, ic='LOO')\n",
-    "df_comp_LOO"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "The columns return the equivalent values for LOO, notice that in this example we get two warnings. Also notice that the order of the models is not the same as the one for WAIC.\n",
-    "\n",
-    "We can also plot the results"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x144 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "pm.compareplot(df_comp_LOO);"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "### Interpretation\n",
     "\n",
-    "Though we might expect the hierarchical model to outperform a complete pooling model, there is little to choose between the models in this case, giving that both models gives very similar values of the information criteria. This is more clearly appreciated when we take into account the uncertainty (in terms of standard errors) of WAIC and LOO.\n",
+    "Though we might expect the hierarchical model to outperform a complete pooling model, there is little to choose between the models in this case, giving that both models gives very similar values of the information criteria. This is more clearly appreciated when we take into account the uncertainty (in terms of standard errors) of LOO and WAIC.\n",
     "\n",
     "## Reference\n",
     "\n",
@@ -578,26 +504,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "pymc3 3.8\n",
-      "arviz 0.8.3\n",
-      "numpy 1.17.5\n",
-      "last updated: Thu Jun 11 2020 \n",
+      "autopep8 1.5\n",
+      "numpy    1.18.5\n",
+      "pymc3    3.9.3\n",
+      "arviz    0.9.0\n",
+      "json     2.0.9\n",
+      "last updated: Thu Aug 06 2020 \n",
       "\n",
-      "CPython 3.8.2\n",
-      "IPython 7.11.0\n",
+      "CPython 3.7.6\n",
+      "IPython 7.16.1\n",
       "watermark 2.0.2\n"
      ]
     }
    ],
    "source": [
-    "%load_ext watermark\n",
     "%watermark -n -u -v -iv -w"
    ]
   }
@@ -618,7 +545,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.2"
+   "version": "3.7.6"
   }
  },
  "nbformat": 4,
diff --git a/pymc3/sampling.py b/pymc3/sampling.py
index 8f0fecb3c06..240ebbf6d7a 100644
--- a/pymc3/sampling.py
+++ b/pymc3/sampling.py
@@ -226,9 +226,7 @@ def _print_step_hierarchy(s, level=0):
     else:
         varnames = ", ".join(
             [
-                get_untransformed_name(v.name)
-                if is_transformed_name(v.name)
-                else v.name
+                get_untransformed_name(v.name) if is_transformed_name(v.name) else v.name
                 for v in s.vars
             ]
         )
@@ -491,10 +489,7 @@ def sample(
                 start = start_
         except (AttributeError, NotImplementedError, tg.NullTypeGradError):
             # gradient computation failed
-            _log.info(
-                "Initializing NUTS failed. "
-                "Falling back to elementwise auto-assignment."
-            )
+            _log.info("Initializing NUTS failed. " "Falling back to elementwise auto-assignment.")
             _log.debug("Exception in init nuts", exec_info=True)
             step = assign_step_methods(model, step, step_kwargs=kwargs)
     else:
@@ -559,9 +554,7 @@ def sample(
             has_demcmc = np.any(
                 [
                     isinstance(m, DEMetropolis)
-                    for m in (
-                        step.methods if isinstance(step, CompoundStep) else [step]
-                    )
+                    for m in (step.methods if isinstance(step, CompoundStep) else [step])
                 ]
             )
             _log.info("Population sampling ({} chains)".format(chains))
@@ -625,9 +618,7 @@ def sample(
 
     if compute_convergence_checks:
         if draws - tune < 100:
-            warnings.warn(
-                "The number of samples is too small to check convergence reliably."
-            )
+            warnings.warn("The number of samples is too small to check convergence reliably.")
         else:
             trace.report._run_convergence_checks(idata, model)
     trace.report._log_summary()
@@ -664,14 +655,7 @@ def _check_start_shape(model, start):
 
 
 def _sample_many(
-    draws,
-    chain: int,
-    chains: int,
-    start: list,
-    random_seed: list,
-    step,
-    callback=None,
-    **kwargs,
+    draws, chain: int, chains: int, start: list, random_seed: list, step, callback=None, **kwargs,
 ):
     """Samples all chains sequentially.
 
@@ -833,9 +817,7 @@ def _sample(
     """
     skip_first = kwargs.get("skip_first", 0)
 
-    sampling = _iter_sample(
-        draws, step, start, trace, chain, tune, model, random_seed, callback
-    )
+    sampling = _iter_sample(draws, step, start, trace, chain, tune, model, random_seed, callback)
     _pbar_data = {"chain": chain, "divergences": 0}
     _desc = "Sampling chain {chain:d}, {divergences:,d} divergences"
     if progressbar:
@@ -909,9 +891,7 @@ def iter_sample(
         for trace in iter_sample(500, step):
             ...
     """
-    sampling = _iter_sample(
-        draws, step, start, trace, chain, tune, model, random_seed, callback
-    )
+    sampling = _iter_sample(draws, step, start, trace, chain, tune, model, random_seed, callback)
     for i, (strace, _) in enumerate(sampling):
         yield MultiTrace([strace[: i + 1]])
 
@@ -1012,8 +992,7 @@ def _iter_sample(
             if callback is not None:
                 warns = getattr(step, "warnings", None)
                 callback(
-                    trace=strace,
-                    draw=Draw(chain, i == draws, i, i < tune, stats, point, warns),
+                    trace=strace, draw=Draw(chain, i == draws, i, i < tune, stats, point, warns),
                 )
 
             yield strace, diverging
@@ -1067,9 +1046,7 @@ def __init__(self, steppers, parallelize, progressbar=True):
                 import multiprocessing
 
                 for c, stepper in (
-                    enumerate(progress_bar(steppers))
-                    if progressbar
-                    else enumerate(steppers)
+                    enumerate(progress_bar(steppers)) if progressbar else enumerate(steppers)
                 ):
                     secondary_end, primary_end = multiprocessing.Pipe()
                     stepper_dumps = pickle.dumps(stepper, protocol=4)
@@ -1136,9 +1113,7 @@ def _run_secondary(c, stepper_dumps, secondary_end):
             # but rather a CompoundStep. PopulationArrayStepShared.population
             # has to be updated, therefore we identify the substeppers first.
             population_steppers = []
-            for sm in (
-                stepper.methods if isinstance(stepper, CompoundStep) else [stepper]
-            ):
+            for sm in stepper.methods if isinstance(stepper, CompoundStep) else [stepper]:
                 if isinstance(sm, arraystep.PopulationArrayStepShared):
                     population_steppers.append(sm)
             while True:
@@ -1682,13 +1657,9 @@ def sample_posterior_predictive(
             nchain = 1
 
     if keep_size and samples is not None:
-        raise IncorrectArgumentsError(
-            "Should not specify both keep_size and samples arguments"
-        )
+        raise IncorrectArgumentsError("Should not specify both keep_size and samples arguments")
     if keep_size and size is not None:
-        raise IncorrectArgumentsError(
-            "Should not specify both keep_size and size arguments"
-        )
+        raise IncorrectArgumentsError("Should not specify both keep_size and size arguments")
 
     if samples is None:
         if isinstance(_trace, MultiTrace):
@@ -1714,15 +1685,11 @@ def sample_posterior_predictive(
 
     if var_names is not None:
         if vars is not None:
-            raise IncorrectArgumentsError(
-                "Should not specify both vars and var_names arguments."
-            )
+            raise IncorrectArgumentsError("Should not specify both vars and var_names arguments.")
         else:
             vars = [model[x] for x in var_names]
     elif vars is not None:  # var_names is None, and vars is not.
-        warnings.warn(
-            "vars argument is deprecated in favor of var_names.", DeprecationWarning
-        )
+        warnings.warn("vars argument is deprecated in favor of var_names.", DeprecationWarning)
     if vars is None:
         vars = model.observed_RVs
 
@@ -1741,11 +1708,7 @@ def sample_posterior_predictive(
                 # the trace object will either be a MultiTrace (and have _straces)...
                 if hasattr(_trace, "_straces"):
                     chain_idx, point_idx = np.divmod(idx, len_trace)
-                    param = (
-                        cast(MultiTrace, _trace)
-                        ._straces[chain_idx % nchain]
-                        .point(point_idx)
-                    )
+                    param = cast(MultiTrace, _trace)._straces[chain_idx % nchain].point(point_idx)
                 # ... or a PointList
                 else:
                     param = cast(PointList, _trace)[idx % len_trace]
@@ -1783,9 +1746,9 @@ def sample_posterior_predictive_w(
     Parameters
     ----------
     traces : list or list of lists
-        List of traces generated from MCMC sampling, or a list of list
-        containing dicts from find_MAP() or points. The number of traces should
-        be equal to the number of weights.
+        List of traces generated from MCMC sampling (xarray.Dataset, arviz.InferenceData, or 
+        MultiTrace), or a list of list containing dicts from find_MAP() or points. The number of
+        traces should be equal to the number of weights.
     samples : int, optional
         Number of posterior predictive samples to generate. Defaults to the
         length of the shorter trace in traces.
@@ -1811,6 +1774,17 @@ def sample_posterior_predictive_w(
     """
     np.random.seed(random_seed)
 
+    if isinstance(traces[0], InferenceData):
+        n_samples = [
+            trace.posterior.sizes["chain"] * trace.posterior.sizes["draw"] for trace in traces
+        ]
+        traces = [dataset_to_point_dict(trace.posterior) for trace in traces]
+    elif isinstance(traces[0], xarray.Dataset):
+        n_samples = [trace.sizes["chain"] * trace.sizes["draw"] for trace in traces]
+        traces = [dataset_to_point_dict(trace) for trace in traces]
+    else:
+        n_samples = [len(i) * i.nchains for i in traces]
+
     if models is None:
         models = [modelcontext(models)] * len(traces)
 
@@ -1830,7 +1804,7 @@ def sample_posterior_predictive_w(
     weights = np.asarray(weights)
     p = weights / np.sum(weights)
 
-    min_tr = min([len(i) * i.nchains for i in traces])
+    min_tr = min(n_samples)
 
     n = (min_tr * p).astype("int")
     # ensure n sum up to min_tr
@@ -1933,8 +1907,7 @@ def sample_prior_predictive(
     if vars is None and var_names is None:
         prior_pred_vars = model.observed_RVs
         prior_vars = (
-            get_default_varnames(model.unobserved_RVs, include_transformed=True)
-            + model.potentials
+            get_default_varnames(model.unobserved_RVs, include_transformed=True) + model.potentials
         )
         vars_ = [var.name for var in prior_vars + prior_pred_vars]
         vars = set(vars_)
@@ -1942,9 +1915,7 @@ def sample_prior_predictive(
         vars = var_names
         vars_ = vars
     elif vars is not None:
-        warnings.warn(
-            "vars argument is deprecated in favor of var_names.", DeprecationWarning
-        )
+        warnings.warn("vars argument is deprecated in favor of var_names.", DeprecationWarning)
         vars_ = vars
     else:
         raise ValueError("Cannot supply both vars and var_names arguments.")
@@ -1974,13 +1945,7 @@ def sample_prior_predictive(
 
 
 def init_nuts(
-    init="auto",
-    chains=1,
-    n_init=500000,
-    model=None,
-    random_seed=None,
-    progressbar=True,
-    **kwargs,
+    init="auto", chains=1, n_init=500000, model=None, random_seed=None, progressbar=True, **kwargs,
 ):
     """Set up the mass matrix initialization for NUTS.
 
@@ -2036,9 +2001,7 @@ def init_nuts(
     if set(vars) != set(model.vars):
         raise ValueError("Must use init_nuts on all variables of a model.")
     if not all_continuous(vars):
-        raise ValueError(
-            "init_nuts can only be used for models with only " "continuous variables."
-        )
+        raise ValueError("init_nuts can only be used for models with only " "continuous variables.")
 
     if not isinstance(init, str):
         raise TypeError("init must be a string.")
@@ -2092,9 +2055,7 @@ def init_nuts(
         mean = approx.bij.rmap(approx.mean.get_value())
         mean = model.dict_to_array(mean)
         weight = 50
-        potential = quadpotential.QuadPotentialDiagAdaptGrad(
-            model.ndim, mean, cov, weight
-        )
+        potential = quadpotential.QuadPotentialDiagAdaptGrad(model.ndim, mean, cov, weight)
     elif init == "advi+adapt_diag":
         approx = pm.fit(
             random_seed=random_seed,

From 9547e7a8c4a545448ff329f19b09646b9cb38df4 Mon Sep 17 00:00:00 2001
From: aloctavodia <aloctavodia@gmail.com>
Date: Mon, 10 Aug 2020 08:41:27 -0300
Subject: [PATCH 2/5] add test

---
 pymc3/tests/test_sampling.py | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/pymc3/tests/test_sampling.py b/pymc3/tests/test_sampling.py
index 91ce9948628..6c6baf57795 100644
--- a/pymc3/tests/test_sampling.py
+++ b/pymc3/tests/test_sampling.py
@@ -718,22 +718,24 @@ def test_sample_posterior_predictive_w(self):
             mu = pm.Normal("mu", mu=0, sigma=1)
             y = pm.Normal("y", mu=mu, sigma=1, observed=data0)
             trace_0 = pm.sample()
+            idata_0 = az.from_pymc3(trace_0)
 
         with pm.Model() as model_1:
             mu = pm.Normal("mu", mu=0, sigma=1, shape=len(data0))
             y = pm.Normal("y", mu=mu, sigma=1, observed=data0)
             trace_1 = pm.sample()
-
-        traces = [trace_0, trace_0]
-        models = [model_0, model_0]
-        ppc = pm.sample_posterior_predictive_w(traces, 100, models)
-        assert ppc["y"].shape == (100, 500)
+            idata_1 = az.from_pymc3(trace_1)
 
         traces = [trace_0, trace_1]
+        idatas = [idata_0, idata_1]
         models = [model_0, model_1]
+
         ppc = pm.sample_posterior_predictive_w(traces, 100, models)
         assert ppc["y"].shape == (100, 500)
 
+        ppc = pm.sample_posterior_predictive_w(idatas, 100, models)
+        assert ppc["y"].shape == (100, 500)
+
 
 @pytest.mark.parametrize(
     "method",

From 34b3b0f6ae80ec44d329a0cc001c1e1a676336ea Mon Sep 17 00:00:00 2001
From: aloctavodia <aloctavodia@gmail.com>
Date: Mon, 10 Aug 2020 08:45:08 -0300
Subject: [PATCH 3/5] update release notes

---
 RELEASE-NOTES.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/RELEASE-NOTES.md b/RELEASE-NOTES.md
index 36e7dc97487..255892eebb5 100644
--- a/RELEASE-NOTES.md
+++ b/RELEASE-NOTES.md
@@ -14,6 +14,7 @@
 - Extend `keep_size` argument handling for `sample_posterior_predictive` and `fast_sample_posterior_predictive`, to work on arviz InferenceData and xarray Dataset input values. (see [PR #4006](https://github.com/pymc-devs/pymc3/pull/4006) and [Issue #4004](https://github.com/pymc-devs/pymc3/issues/4004).
 - SMC-ABC: add the wasserstein and energy distance functions. Refactor API, the distance, sum_stats and epsilon arguments are now passed `pm.Simulator` instead of `pm.sample_smc`. Add random method to `pm.Simulator`. Add option to save the simulated data. Improves LaTeX representation [#3996](https://github.com/pymc-devs/pymc3/pull/3996)
 - SMC-ABC: Allow use of potentials by adding them to the prior term. [#4016](https://github.com/pymc-devs/pymc3/pull/4016)
+- `sample_posterior_predictive_w` can now feed on `xarray.Dataset` - e.g. from `InferenceData.posterior`. (see [#4042](https://github.com/pymc-devs/pymc3/pull/4042))
 
 ## PyMC3 3.9.2 (24 June 2020)
 ### Maintenance

From 2aec55e4e058d2abfb7d85a053ea38d63e80fda3 Mon Sep 17 00:00:00 2001
From: aloctavodia <aloctavodia@gmail.com>
Date: Tue, 11 Aug 2020 09:57:49 -0300
Subject: [PATCH 4/5] update release notes

---
 RELEASE-NOTES.md | 12 +++++++++++-
 1 file changed, 11 insertions(+), 1 deletion(-)

diff --git a/RELEASE-NOTES.md b/RELEASE-NOTES.md
index 255892eebb5..3f36a500fc3 100644
--- a/RELEASE-NOTES.md
+++ b/RELEASE-NOTES.md
@@ -2,6 +2,16 @@
 
 ## PyMC3 3.9.x (on deck)
 
+### Maintenance
+
+### Documentation
+
+### New features
+- `sample_posterior_predictive_w` can now feed on `xarray.Dataset` - e.g. from `InferenceData.posterior`. (see [#4042](https://github.com/pymc-devs/pymc3/pull/4042))
+
+
+## PyMC3 3.9.3 (11 August 2020)
+
 ### Maintenance
 - Fix an error on Windows and Mac where error message from unpickling models did not show up in the notebook, or where sampling froze when a worker process crashed (see [#3991](https://github.com/pymc-devs/pymc3/pull/3991)).
 
@@ -14,7 +24,7 @@
 - Extend `keep_size` argument handling for `sample_posterior_predictive` and `fast_sample_posterior_predictive`, to work on arviz InferenceData and xarray Dataset input values. (see [PR #4006](https://github.com/pymc-devs/pymc3/pull/4006) and [Issue #4004](https://github.com/pymc-devs/pymc3/issues/4004).
 - SMC-ABC: add the wasserstein and energy distance functions. Refactor API, the distance, sum_stats and epsilon arguments are now passed `pm.Simulator` instead of `pm.sample_smc`. Add random method to `pm.Simulator`. Add option to save the simulated data. Improves LaTeX representation [#3996](https://github.com/pymc-devs/pymc3/pull/3996)
 - SMC-ABC: Allow use of potentials by adding them to the prior term. [#4016](https://github.com/pymc-devs/pymc3/pull/4016)
-- `sample_posterior_predictive_w` can now feed on `xarray.Dataset` - e.g. from `InferenceData.posterior`. (see [#4042](https://github.com/pymc-devs/pymc3/pull/4042))
+
 
 ## PyMC3 3.9.2 (24 June 2020)
 ### Maintenance

From 2432f86adb1e06f446e71bd0de2392ea83080990 Mon Sep 17 00:00:00 2001
From: aloctavodia <aloctavodia@gmail.com>
Date: Thu, 13 Aug 2020 09:32:51 -0300
Subject: [PATCH 5/5] fix typos and style

---
 docs/source/notebooks/model_averaging.ipynb  | 169 +++++++++----------
 docs/source/notebooks/model_comparison.ipynb | 165 +++++++++---------
 2 files changed, 166 insertions(+), 168 deletions(-)

diff --git a/docs/source/notebooks/model_averaging.ipynb b/docs/source/notebooks/model_averaging.ipynb
index 4f52a086025..89b9507cfbf 100644
--- a/docs/source/notebooks/model_averaging.ipynb
+++ b/docs/source/notebooks/model_averaging.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,7 +15,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -149,14 +149,14 @@
        "4        0.92   0.012294 -1.885353"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "d = pd.read_csv(\"../data/milk.csv\")\n",
-    "d.iloc[:, 1:] = d.iloc[:, 1:] - d.iloc[:, 1:].mean()\n",
+    "d = pd.read_csv('../data/milk.csv')\n",
+    "d.iloc[:,1:] = d.iloc[:,1:] - d.iloc[:,1:].mean()\n",
     "d.head()"
    ]
   },
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -200,7 +200,7 @@
        "            }\n",
        "        </style>\n",
        "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [6000/6000 00:04<00:00 Sampling 2 chains, 0 divergences]\n",
+       "      100.00% [6000/6000 00:03<00:00 Sampling 2 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -215,19 +215,19 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 5 seconds.\n"
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 4 seconds.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as model_0:\n",
-    "    alpha = pm.Normal(\"alpha\", mu=0, sigma=10)\n",
-    "    beta = pm.Normal(\"beta\", mu=0, sigma=10)\n",
-    "    sigma = pm.HalfNormal(\"sigma\", 10)\n",
-    "\n",
-    "    mu = alpha + beta * d[\"neocortex\"]\n",
-    "\n",
-    "    kcal = pm.Normal(\"kcal\", mu=mu, sigma=sigma, observed=d[\"kcal.per.g\"])\n",
+    "    alpha = pm.Normal('alpha', mu=0, sigma=10)\n",
+    "    beta = pm.Normal('beta', mu=0, sigma=10)\n",
+    "    sigma = pm.HalfNormal('sigma', 10)\n",
+    "    \n",
+    "    mu = alpha + beta * d['neocortex']\n",
+    "    \n",
+    "    kcal = pm.Normal('kcal', mu=mu, sigma=sigma, observed=d['kcal.per.g'])\n",
     "    trace_0 = pm.sample(2000, return_inferencedata=True)"
    ]
   },
@@ -240,7 +240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -271,7 +271,7 @@
        "            }\n",
        "        </style>\n",
        "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [6000/6000 00:05<00:00 Sampling 2 chains, 0 divergences]\n",
+       "      100.00% [6000/6000 00:03<00:00 Sampling 2 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -286,21 +286,20 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 6 seconds.\n",
-      "The acceptance probability does not match the target. It is 0.8832504124942819, but should be close to 0.8. Try to increase the number of tuning steps.\n"
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 3 seconds.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as model_1:\n",
-    "    alpha = pm.Normal(\"alpha\", mu=0, sigma=10)\n",
-    "    beta = pm.Normal(\"beta\", mu=0, sigma=1)\n",
-    "    sigma = pm.HalfNormal(\"sigma\", 10)\n",
-    "\n",
-    "    mu = alpha + beta * d[\"log_mass\"]\n",
-    "\n",
-    "    kcal = pm.Normal(\"kcal\", mu=mu, sigma=sigma, observed=d[\"kcal.per.g\"])\n",
-    "\n",
+    "    alpha = pm.Normal('alpha', mu=0, sigma=10)\n",
+    "    beta = pm.Normal('beta', mu=0, sigma=1)\n",
+    "    sigma = pm.HalfNormal('sigma', 10)\n",
+    "    \n",
+    "    mu = alpha + beta * d['log_mass']\n",
+    "    \n",
+    "    kcal = pm.Normal('kcal', mu=mu, sigma=sigma, observed=d['kcal.per.g'])\n",
+    "    \n",
     "    trace_1 = pm.sample(2000, return_inferencedata=True)"
    ]
   },
@@ -313,7 +312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -365,13 +364,13 @@
    ],
    "source": [
     "with pm.Model() as model_2:\n",
-    "    alpha = pm.Normal(\"alpha\", mu=0, sigma=10)\n",
-    "    beta = pm.Normal(\"beta\", mu=0, sigma=1, shape=2)\n",
-    "    sigma = pm.HalfNormal(\"sigma\", 10)\n",
+    "    alpha = pm.Normal('alpha', mu=0, sigma=10)\n",
+    "    beta = pm.Normal('beta', mu=0, sigma=1, shape=2)\n",
+    "    sigma = pm.HalfNormal('sigma', 10)\n",
     "\n",
-    "    mu = alpha + pm.math.dot(beta, d[[\"neocortex\", \"log_mass\"]].T)\n",
+    "    mu = alpha + pm.math.dot(beta, d[['neocortex','log_mass']].T)\n",
     "\n",
-    "    kcal = pm.Normal(\"kcal\", mu=mu, sigma=sigma, observed=d[\"kcal.per.g\"])\n",
+    "    kcal = pm.Normal('kcal', mu=mu, sigma=sigma, observed=d['kcal.per.g'])\n",
     "\n",
     "    trace_2 = pm.sample(2000, return_inferencedata=True)"
    ]
@@ -385,12 +384,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -413,12 +412,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1656x552 with 2 Axes>"
       ]
@@ -428,7 +427,7 @@
     }
    ],
    "source": [
-    "az.plot_density(traces, var_names=[\"alpha\", \"sigma\"]);"
+    "az.plot_density(traces, var_names=['alpha', 'sigma']);"
    ]
   },
   {
@@ -440,14 +439,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:153: UserWarning: \n",
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:150: UserWarning: \n",
       "The scale is now log by default. Use 'scale' argument or 'stats.ic_scale' rcParam if you rely on a specific value.\n",
       "A higher log-score (or a lower deviance) indicates a model with better predictive accuracy.\n",
       "  \"\\nThe scale is now log by default. Use 'scale' argument or \"\n"
@@ -489,11 +488,11 @@
        "    <tr>\n",
        "      <th>model_2</th>\n",
        "      <td>0</td>\n",
-       "      <td>7.53849</td>\n",
-       "      <td>2.75606</td>\n",
+       "      <td>7.54742</td>\n",
+       "      <td>2.69847</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.891482</td>\n",
-       "      <td>1.51983</td>\n",
+       "      <td>0.881161</td>\n",
+       "      <td>1.56652</td>\n",
        "      <td>0</td>\n",
        "      <td>False</td>\n",
        "      <td>log</td>\n",
@@ -501,24 +500,24 @@
        "    <tr>\n",
        "      <th>model_1</th>\n",
        "      <td>1</td>\n",
-       "      <td>4.34659</td>\n",
-       "      <td>2.12112</td>\n",
-       "      <td>3.1919</td>\n",
-       "      <td>0.049511</td>\n",
-       "      <td>2.05449</td>\n",
-       "      <td>1.0935</td>\n",
+       "      <td>4.41805</td>\n",
+       "      <td>2.07408</td>\n",
+       "      <td>3.12936</td>\n",
+       "      <td>0.0513577</td>\n",
+       "      <td>2.04406</td>\n",
+       "      <td>1.05462</td>\n",
        "      <td>False</td>\n",
        "      <td>log</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>model_0</th>\n",
        "      <td>2</td>\n",
-       "      <td>3.52401</td>\n",
-       "      <td>2.0026</td>\n",
-       "      <td>4.01448</td>\n",
-       "      <td>0.0590069</td>\n",
-       "      <td>2.44782</td>\n",
-       "      <td>2.10575</td>\n",
+       "      <td>3.5033</td>\n",
+       "      <td>1.98011</td>\n",
+       "      <td>4.04412</td>\n",
+       "      <td>0.0674812</td>\n",
+       "      <td>2.41377</td>\n",
+       "      <td>2.05646</td>\n",
        "      <td>False</td>\n",
        "      <td>log</td>\n",
        "    </tr>\n",
@@ -528,9 +527,9 @@
       ],
       "text/plain": [
        "        rank      loo    p_loo    d_loo     weight       se      dse warning  \\\n",
-       "model_2    0  7.53849  2.75606        0   0.891482  1.51983        0   False   \n",
-       "model_1    1  4.34659  2.12112   3.1919   0.049511  2.05449   1.0935   False   \n",
-       "model_0    2  3.52401   2.0026  4.01448  0.0590069  2.44782  2.10575   False   \n",
+       "model_2    0  7.54742  2.69847        0   0.881161  1.56652        0   False   \n",
+       "model_1    1  4.41805  2.07408  3.12936  0.0513577  2.04406  1.05462   False   \n",
+       "model_0    2   3.5033  1.98011  4.04412  0.0674812  2.41377  2.05646   False   \n",
        "\n",
        "        loo_scale  \n",
        "model_2       log  \n",
@@ -538,7 +537,7 @@
        "model_0       log  "
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -562,17 +561,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "ppc_w = pm.sample_posterior_predictive_w(\n",
-    "    traces,\n",
-    "    1000,\n",
-    "    [model_0, model_1, model_2],\n",
-    "    weights=comp.weight.sort_index(ascending=True),\n",
-    "    progressbar=False,\n",
-    ")"
+    "ppc_w = pm.sample_posterior_predictive_w(traces, 1000, [model_0, model_1, model_2],\n",
+    "                        weights=comp.weight.sort_index(ascending=True),\n",
+    "                        progressbar=False)"
    ]
   },
   {
@@ -586,14 +581,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/pymc3/pymc3/sampling.py:1708: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n",
+      "/home/osvaldo/proyectos/00_BM/pymc3/pymc3/sampling.py:1679: UserWarning: samples parameter is smaller than nchains times ndraws, some draws and/or chains may not be represented in the returned posterior predictive sample\n",
       "  \"samples parameter is smaller than nchains times ndraws, some draws \"\n"
      ]
     }
@@ -611,20 +606,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:488: FutureWarning: hdi currently interprets 2d data as (draw, shape) but this will change in a future release to (chain, draw) for coherence with other functions\n",
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:485: FutureWarning: hdi currently interprets 2d data as (draw, shape) but this will change in a future release to (chain, draw) for coherence with other functions\n",
       "  FutureWarning,\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 720x480 with 1 Axes>"
       ]
@@ -634,20 +629,20 @@
     }
    ],
    "source": [
-    "mean_w = ppc_w[\"kcal\"].mean()\n",
-    "hpd_w = az.hdi(ppc_w[\"kcal\"]).mean(0)\n",
+    "mean_w = ppc_w['kcal'].mean()\n",
+    "hpd_w = az.hdi(ppc_w['kcal']).mean(0)\n",
     "\n",
-    "mean = ppc_2[\"kcal\"].mean()\n",
-    "hpd = az.hdi(ppc_2[\"kcal\"]).mean(0)\n",
+    "mean = ppc_2['kcal'].mean()\n",
+    "hpd = az.hdi(ppc_2['kcal']).mean(0)\n",
     "\n",
-    "plt.plot(mean_w, 1, \"C0o\", label=\"weighted models\")\n",
+    "plt.plot(mean_w, 1, 'C0o', label='weighted models')\n",
     "plt.hlines(1, *hpd_w, \"C0\")\n",
-    "plt.plot(mean, 0, \"C1o\", label=\"model 2\")\n",
+    "plt.plot(mean, 0, 'C1o', label='model 2')\n",
     "plt.hlines(0, *hpd, \"C1\")\n",
     "\n",
     "plt.yticks([])\n",
     "plt.ylim(-1, 2)\n",
-    "plt.xlabel(\"kcal per g\")\n",
+    "plt.xlabel('kcal per g')\n",
     "plt.legend();"
    ]
   },
@@ -666,23 +661,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "pymc3    3.9.3\n",
       "json     2.0.9\n",
+      "pymc3    3.9.3\n",
       "numpy    1.18.5\n",
-      "arviz    0.9.0\n",
-      "pandas   1.0.5\n",
       "autopep8 1.5\n",
-      "last updated: Fri Aug 07 2020 \n",
+      "pandas   1.1.0\n",
+      "arviz    0.9.0\n",
+      "last updated: Thu Aug 13 2020 \n",
       "\n",
       "CPython 3.7.6\n",
-      "IPython 7.16.1\n",
+      "IPython 7.17.0\n",
       "watermark 2.0.2\n"
      ]
     }
diff --git a/docs/source/notebooks/model_comparison.ipynb b/docs/source/notebooks/model_comparison.ipynb
index 6bc5c166d56..1c5a9836021 100644
--- a/docs/source/notebooks/model_comparison.ipynb
+++ b/docs/source/notebooks/model_comparison.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -40,13 +40,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
     "J = 8\n",
-    "y = np.array([28, 8, -3, 7, -1, 1, 18, 12])\n",
-    "sigma = np.array([15, 10, 16, 11, 9, 11, 10, 18])"
+    "y = np.array([28,  8, -3,  7, -1,  1, 18, 12])\n",
+    "sigma = np.array([15, 10, 16, 11,  9, 11, 10, 18])"
    ]
   },
   {
@@ -58,7 +58,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -89,7 +89,7 @@
        "            }\n",
        "        </style>\n",
        "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [6000/6000 00:01<00:00 Sampling 2 chains, 0 divergences]\n",
+       "      100.00% [6000/6000 00:03<00:00 Sampling 2 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -104,27 +104,28 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 2 seconds.\n"
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 4 seconds.\n",
+      "The acceptance probability does not match the target. It is 0.8935826700064077, but should be close to 0.8. Try to increase the number of tuning steps.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as pooled:\n",
-    "    mu = pm.Normal(\"mu\", 0, sigma=1e6)\n",
-    "\n",
-    "    obs = pm.Normal(\"obs\", mu, sigma=sigma, observed=y)\n",
-    "\n",
+    "    mu = pm.Normal('mu', 0, sigma=1e6)\n",
+    "    \n",
+    "    obs = pm.Normal('obs', mu, sigma=sigma, observed=y)\n",
+    "    \n",
     "    trace_p = pm.sample(2000, return_inferencedata=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1200x200 with 2 Axes>"
       ]
@@ -146,7 +147,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -177,7 +178,7 @@
        "            }\n",
        "        </style>\n",
        "      <progress value='6000' class='' max='6000', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [6000/6000 00:04<00:00 Sampling 2 chains, 0 divergences]\n",
+       "      100.00% [6000/6000 00:08<00:00 Sampling 2 chains, 2 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -192,32 +193,33 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 5 seconds.\n"
+      "Sampling 2 chains for 1_000 tune and 2_000 draw iterations (2_000 + 4_000 draws total) took 9 seconds.\n",
+      "There were 2 divergences after tuning. Increase `target_accept` or reparameterize.\n"
      ]
     }
    ],
    "source": [
     "with pm.Model() as hierarchical:\n",
-    "\n",
-    "    eta = pm.Normal(\"eta\", 0, 1, shape=J)\n",
-    "    mu = pm.Normal(\"mu\", 0, sigma=10)\n",
-    "    tau = pm.HalfNormal(\"tau\", 10)\n",
-    "\n",
-    "    theta = pm.Deterministic(\"theta\", mu + tau * eta)\n",
-    "\n",
-    "    obs = pm.Normal(\"obs\", theta, sigma=sigma, observed=y)\n",
-    "\n",
+    "    \n",
+    "    eta = pm.Normal('eta', 0, 1, shape=J)\n",
+    "    mu = pm.Normal('mu', 0, sigma=10)\n",
+    "    tau = pm.HalfNormal('tau', 10)\n",
+    "    \n",
+    "    theta = pm.Deterministic('theta', mu + tau*eta)\n",
+    "    \n",
+    "    obs = pm.Normal('obs', theta, sigma=sigma, observed=y)\n",
+    "    \n",
     "    trace_h = pm.sample(2000, target_accept=0.9, return_inferencedata=True)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n"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\n",
       "text/plain": [
        "<Figure size 1200x200 with 2 Axes>"
       ]
@@ -227,17 +229,17 @@
     }
    ],
    "source": [
-    "az.plot_trace(trace_h, var_names=\"mu\");"
+    "az.plot_trace(trace_h, var_names='mu');"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 600x560 with 1 Axes>"
       ]
@@ -247,7 +249,7 @@
     }
    ],
    "source": [
-    "az.plot_forest(trace_h, var_names=\"theta\");"
+    "az.plot_forest(trace_h, var_names='theta');"
    ]
   },
   {
@@ -256,64 +258,64 @@
    "source": [
     "### Leave-one-out Cross-validation (LOO)\n",
     "\n",
-    "LOO cross-validation is an estimate of the out-of-sample predictive fit. In cross-validation, the data are repeatedly partitioned into training and holdout sets, iteratively fitting the model with the former and evaluating the fit with the holdout data. Vehtari et al. (2016) introduced an efficient computation of LOO from MCMC samples (without the need for re-fitting the data). THis approximation is base on importance sampling. The importance weights are stabilized using a method known as Pareto-smoothed importance sampling (PSIS).\n",
+    "LOO cross-validation is an estimate of the out-of-sample predictive fit. In cross-validation, the data are repeatedly partitioned into training and holdout sets, iteratively fitting the model with the former and evaluating the fit with the holdout data. Vehtari et al. (2016) introduced an efficient computation of LOO from MCMC samples (without the need for re-fitting the data). This approximation is based on importance sampling. The importance weights are stabilized using a method known as Pareto-smoothed importance sampling (PSIS).\n",
     "\n",
     "### Widely-applicable Information Criterion (WAIC)\n",
     "\n",
     "WAIC (Watanabe 2010) is a fully Bayesian criterion for estimating out-of-sample expectation, using the computed log pointwise posterior predictive density (LPPD) and correcting for the effective number of parameters to adjust for overfitting.\n",
     "\n",
-    "By default ArviZ use LOO, but WAIC is also available."
+    "By default ArviZ uses LOO, but WAIC is also available."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "-30.52450734558507"
+       "-30.541155330185944"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "pooled_loo = pm.loo(trace_p, pooled)\n",
-    "\n",
+    "pooled_loo = az.loo(trace_p, pooled)\n",
+    "    \n",
     "pooled_loo.loo"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:685: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:682: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
       "  \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "-30.71250214161087"
+       "-30.79701778020852"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "hierarchical_loo = pm.loo(trace_h, hierarchical)\n",
-    "\n",
+    "hierarchical_loo  = az.loo(trace_h, hierarchical)\n",
+    "    \n",
     "hierarchical_loo.loo"
    ]
   },
@@ -321,23 +323,23 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "ArviZ includes two convenience functions to help compare LOO for different models. The first of this functions is `compare`, this one computes WAIC (or LOO) from a set of traces and models and returns a DataFrame."
+    "ArviZ includes two convenience functions to help compare LOO for different models. The first of these functions is `compare`, which computes LOO (or WAIC) from a set of traces and models and returns a DataFrame."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:153: UserWarning: \n",
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:150: UserWarning: \n",
       "The scale is now log by default. Use 'scale' argument or 'stats.ic_scale' rcParam if you rely on a specific value.\n",
       "A higher log-score (or a lower deviance) indicates a model with better predictive accuracy.\n",
       "  \"\\nThe scale is now log by default. Use 'scale' argument or \"\n",
-      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:685: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
+      "/home/osvaldo/proyectos/00_BM/arviz/arviz/stats/stats.py:682: UserWarning: Estimated shape parameter of Pareto distribution is greater than 0.7 for one or more samples. You should consider using a more robust model, this is because importance sampling is less likely to work well if the marginal posterior and LOO posterior are very different. This is more likely to happen with a non-robust model and highly influential observations.\n",
       "  \"Estimated shape parameter of Pareto distribution is greater than 0.7 for \"\n"
      ]
     },
@@ -377,11 +379,11 @@
        "    <tr>\n",
        "      <th>pooled</th>\n",
        "      <td>0</td>\n",
-       "      <td>-30.5245</td>\n",
-       "      <td>0.645944</td>\n",
+       "      <td>-30.5412</td>\n",
+       "      <td>0.661857</td>\n",
        "      <td>0</td>\n",
-       "      <td>0.546435</td>\n",
-       "      <td>0.978518</td>\n",
+       "      <td>0.56286</td>\n",
+       "      <td>0.986818</td>\n",
        "      <td>0</td>\n",
        "      <td>False</td>\n",
        "      <td>log</td>\n",
@@ -389,12 +391,12 @@
        "    <tr>\n",
        "      <th>hierarchical</th>\n",
        "      <td>1</td>\n",
-       "      <td>-30.7125</td>\n",
-       "      <td>1.08653</td>\n",
-       "      <td>0.187995</td>\n",
-       "      <td>0.453565</td>\n",
-       "      <td>1.01539</td>\n",
-       "      <td>0.225854</td>\n",
+       "      <td>-30.797</td>\n",
+       "      <td>1.14051</td>\n",
+       "      <td>0.255862</td>\n",
+       "      <td>0.43714</td>\n",
+       "      <td>1.02204</td>\n",
+       "      <td>0.256169</td>\n",
        "      <td>True</td>\n",
        "      <td>log</td>\n",
        "    </tr>\n",
@@ -403,16 +405,16 @@
        "</div>"
       ],
       "text/plain": [
-       "             rank      loo     p_loo     d_loo    weight        se       dse  \\\n",
-       "pooled          0 -30.5245  0.645944         0  0.546435  0.978518         0   \n",
-       "hierarchical    1 -30.7125   1.08653  0.187995  0.453565   1.01539  0.225854   \n",
+       "             rank      loo     p_loo     d_loo   weight        se       dse  \\\n",
+       "pooled          0 -30.5412  0.661857         0  0.56286  0.986818         0   \n",
+       "hierarchical    1  -30.797   1.14051  0.255862  0.43714   1.02204  0.256169   \n",
        "\n",
        "             warning loo_scale  \n",
        "pooled         False       log  \n",
        "hierarchical    True       log  "
       ]
      },
-     "execution_count": 11,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -428,25 +430,26 @@
    "source": [
     "We have many columns, so let's check out their meaning one by one:\n",
     "\n",
-    "0) The index are the names of the models taken from the keys of the dictionary passed to `compare(.)`.\n",
     "\n",
-    "1) **rank**, the ranking on the models starting from 0 (best model) to the number of models.\n",
+    "0. The index is the names of the models taken from the keys of the dictionary passed to `compare(.)`.\n",
     "\n",
-    "2) **loo**, the values of LOO(or WAIC). The DataFrame is always sorted from best LOO/WAIC to worst. \n",
+    "1. **rank**, the ranking of the models starting from 0 (best model) to the number of models.\n",
     "\n",
-    "3) **p_loo**, the value of the penalization term. We can roughly think of this value as the estimated effective number of parameters (but do not take that too seriously).\n",
+    "2. **loo**, the values of LOO (or WAIC). The DataFrame is always sorted from best LOO/WAIC to worst. \n",
     "\n",
-    "4) **d_loo**, the relative difference between the value of LOO/WAIC for the top-ranked model and the value of LOO/WAIC for each model. For this reason we will always get a value of 0 for the first model.\n",
+    "3. **p_loo**, the value of the penalization term. We can roughly think of this value as the estimated effective number of parameters (but do not take that too seriously).\n",
     "\n",
-    "5) **weight**, the weights assigned to each model. These weights can be loosely interpreted as the probability of each model (among the compared models) given the data.\n",
+    "4. **d_loo**, the relative difference between the value of LOO/WAIC for the top-ranked model and the value of LOO/WAIC for each model. For this reason we will always get a value of 0 for the first model.\n",
     "\n",
-    "6) **se**, the standard error for the LOO/WAIC computations. The standard error can be useful to assess the uncertainty of the LOO/WAIC estimates. By default these errors are computed using stacking.\n",
+    "5. **weight**, the weights assigned to each model. These weights can be loosely interpreted as the probability of each model being true (among the compared models) given the data.\n",
     "\n",
-    "7) **dse**, the standard errors of the difference between two values of LOO/WAIC. The same way that we can compute the standard error for each value of LOO/WAIC, we can compute the standard error of the differences between two values of LOO/WAIC. Notice that both quantities are not necessarily the same, the reason is that the uncertainty about LOO/WAIC is correlated between models. This quantity is always 0 for the top-ranked model.\n",
+    "6. **se**, the standard error for the LOO/WAIC computations. The standard error can be useful to assess the uncertainty of the LOO/WAIC estimates. By default these errors are computed using stacking.\n",
     "\n",
-    "8) **warning**, If `True` the computation of LOO/WAIC may not be reliable.\n",
+    "7. **dse**, the standard errors of the difference between two values of LOO/WAIC. The same way that we can compute the standard error for each value of LOO/WAIC, we can compute the standard error of the differences between two values of LOO/WAIC. Notice that both quantities are not necessarily the same, the reason is that the uncertainty about LOO/WAIC is correlated between models. This quantity is always 0 for the top-ranked model.\n",
     "\n",
-    "9) **loo_scale**, the scale of the reported values. The default is the log scale as previously mentioned. Other options are deviance -- this is the log-score multiplied by -2 (this reverts the order: a higher LOO/WAIC will be better) -- and negative-log -- this is the log-score multiplied by -1 (as with the deviance scale, a lower value is better)."
+    "8. **warning**, If `True` the computation of LOO/WAIC may not be reliable.\n",
+    "\n",
+    "9. **loo_scale**, the scale of the reported values. The default is the log scale as previously mentioned. Other options are deviance -- this is the log-score multiplied by -2 (this reverts the order: a lower LOO/WAIC will be better) -- and negative-log -- this is the log-score multiplied by -1 (as with the deviance scale, a lower value is better)."
    ]
   },
   {
@@ -458,12 +461,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 600x200 with 1 Axes>"
       ]
@@ -482,7 +485,7 @@
    "source": [
     "The empty circle represents the values of LOO and the black error bars associated with them are the values of the standard deviation of LOO. \n",
     "\n",
-    "The value of the highest LOO is also indicated with a vertical dashed grey line to ease comparison with other LOO values.\n",
+    "The value of the highest LOO, i.e the best estimated model, is also indicated with a vertical dashed grey line to ease comparison with other LOO values.\n",
     "\n",
     "For all models except the top-ranked one we also get a triangle indicating the value of the difference of WAIC between that model and the top model and a grey errobar indicating the standard error of the differences between the top-ranked WAIC and WAIC for each model."
    ]
@@ -493,7 +496,7 @@
    "source": [
     "### Interpretation\n",
     "\n",
-    "Though we might expect the hierarchical model to outperform a complete pooling model, there is little to choose between the models in this case, giving that both models gives very similar values of the information criteria. This is more clearly appreciated when we take into account the uncertainty (in terms of standard errors) of LOO and WAIC.\n",
+    "Though we might expect the hierarchical model to outperform a complete pooling model, there is little to choose between the models in this case, given that both models gives very similar values of the information criteria. This is more clearly appreciated when we take into account the uncertainty (in terms of standard errors) of LOO and WAIC.\n",
     "\n",
     "## Reference\n",
     "\n",
@@ -504,7 +507,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -512,14 +515,14 @@
      "output_type": "stream",
      "text": [
       "autopep8 1.5\n",
-      "numpy    1.18.5\n",
       "pymc3    3.9.3\n",
       "arviz    0.9.0\n",
+      "numpy    1.18.5\n",
       "json     2.0.9\n",
-      "last updated: Thu Aug 06 2020 \n",
+      "last updated: Thu Aug 13 2020 \n",
       "\n",
       "CPython 3.7.6\n",
-      "IPython 7.16.1\n",
+      "IPython 7.17.0\n",
       "watermark 2.0.2\n"
      ]
     }