From d9cdf80b55aa00c5672fbd5d5d0105046b320db1 Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Mon, 4 Jul 2022 08:40:55 -0500
Subject: [PATCH 01/10] removed .from_pymc3 method calls

---
 Rethinking_2/Chp_05.ipynb | 2756 ++++++++++++++++++++++++++++++++-----
 1 file changed, 2389 insertions(+), 367 deletions(-)

diff --git a/Rethinking_2/Chp_05.ipynb b/Rethinking_2/Chp_05.ipynb
index 5b40eac1..3a555d7b 100644
--- a/Rethinking_2/Chp_05.ipynb
+++ b/Rethinking_2/Chp_05.ipynb
@@ -11,7 +11,15 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING (aesara.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
+     ]
+    }
+   ],
    "source": [
     "import os\n",
     "import warnings\n",
@@ -26,7 +34,8 @@
     "from causalgraphicalmodels import CausalGraphicalModel\n",
     "from scipy import stats\n",
     "from scipy.interpolate import griddata\n",
-    "from theano import shared\n",
+    "# from theano import shared\n",
+    "from aesara import shared\n",
     "\n",
     "warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
    ]
@@ -59,8 +68,147 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "     Location Loc  Population  MedianAgeMarriage  Marriage  Marriage SE  \\\n0     Alabama  AL        4.78               25.3      20.2         1.27   \n1      Alaska  AK        0.71               25.2      26.0         2.93   \n2     Arizona  AZ        6.33               25.8      20.3         0.98   \n3    Arkansas  AR        2.92               24.3      26.4         1.70   \n4  California  CA       37.25               26.8      19.1         0.39   \n\n   Divorce  Divorce SE  WaffleHouses  South  Slaves1860  Population1860  \\\n0     12.7        0.79           128      1      435080          964201   \n1     12.5        2.05             0      0           0               0   \n2     10.8        0.74            18      0           0               0   \n3     13.5        1.22            41      1      111115          435450   \n4      8.0        0.24             0      0           0          379994   \n\n   PropSlaves1860  \n0            0.45  \n1            0.00  \n2            0.00  \n3            0.26  \n4            0.00  ",
-      "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>Location</th>\n      <th>Loc</th>\n      <th>Population</th>\n      <th>MedianAgeMarriage</th>\n      <th>Marriage</th>\n      <th>Marriage SE</th>\n      <th>Divorce</th>\n      <th>Divorce SE</th>\n      <th>WaffleHouses</th>\n      <th>South</th>\n      <th>Slaves1860</th>\n      <th>Population1860</th>\n      <th>PropSlaves1860</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Alabama</td>\n      <td>AL</td>\n      <td>4.78</td>\n      <td>25.3</td>\n      <td>20.2</td>\n      <td>1.27</td>\n      <td>12.7</td>\n      <td>0.79</td>\n      <td>128</td>\n      <td>1</td>\n      <td>435080</td>\n      <td>964201</td>\n      <td>0.45</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Alaska</td>\n      <td>AK</td>\n      <td>0.71</td>\n      <td>25.2</td>\n      <td>26.0</td>\n      <td>2.93</td>\n      <td>12.5</td>\n      <td>2.05</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Arizona</td>\n      <td>AZ</td>\n      <td>6.33</td>\n      <td>25.8</td>\n      <td>20.3</td>\n      <td>0.98</td>\n      <td>10.8</td>\n      <td>0.74</td>\n      <td>18</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.00</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Arkansas</td>\n      <td>AR</td>\n      <td>2.92</td>\n      <td>24.3</td>\n      <td>26.4</td>\n      <td>1.70</td>\n      <td>13.5</td>\n      <td>1.22</td>\n      <td>41</td>\n      <td>1</td>\n      <td>111115</td>\n      <td>435450</td>\n      <td>0.26</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>California</td>\n      <td>CA</td>\n      <td>37.25</td>\n      <td>26.8</td>\n      <td>19.1</td>\n      <td>0.39</td>\n      <td>8.0</td>\n      <td>0.24</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>379994</td>\n      <td>0.00</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>Location</th>\n",
+       "      <th>Loc</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>MedianAgeMarriage</th>\n",
+       "      <th>Marriage</th>\n",
+       "      <th>Marriage SE</th>\n",
+       "      <th>Divorce</th>\n",
+       "      <th>Divorce SE</th>\n",
+       "      <th>WaffleHouses</th>\n",
+       "      <th>South</th>\n",
+       "      <th>Slaves1860</th>\n",
+       "      <th>Population1860</th>\n",
+       "      <th>PropSlaves1860</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Alabama</td>\n",
+       "      <td>AL</td>\n",
+       "      <td>4.78</td>\n",
+       "      <td>25.3</td>\n",
+       "      <td>20.2</td>\n",
+       "      <td>1.27</td>\n",
+       "      <td>12.7</td>\n",
+       "      <td>0.79</td>\n",
+       "      <td>128</td>\n",
+       "      <td>1</td>\n",
+       "      <td>435080</td>\n",
+       "      <td>964201</td>\n",
+       "      <td>0.45</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Alaska</td>\n",
+       "      <td>AK</td>\n",
+       "      <td>0.71</td>\n",
+       "      <td>25.2</td>\n",
+       "      <td>26.0</td>\n",
+       "      <td>2.93</td>\n",
+       "      <td>12.5</td>\n",
+       "      <td>2.05</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Arizona</td>\n",
+       "      <td>AZ</td>\n",
+       "      <td>6.33</td>\n",
+       "      <td>25.8</td>\n",
+       "      <td>20.3</td>\n",
+       "      <td>0.98</td>\n",
+       "      <td>10.8</td>\n",
+       "      <td>0.74</td>\n",
+       "      <td>18</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Arkansas</td>\n",
+       "      <td>AR</td>\n",
+       "      <td>2.92</td>\n",
+       "      <td>24.3</td>\n",
+       "      <td>26.4</td>\n",
+       "      <td>1.70</td>\n",
+       "      <td>13.5</td>\n",
+       "      <td>1.22</td>\n",
+       "      <td>41</td>\n",
+       "      <td>1</td>\n",
+       "      <td>111115</td>\n",
+       "      <td>435450</td>\n",
+       "      <td>0.26</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>California</td>\n",
+       "      <td>CA</td>\n",
+       "      <td>37.25</td>\n",
+       "      <td>26.8</td>\n",
+       "      <td>19.1</td>\n",
+       "      <td>0.39</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>379994</td>\n",
+       "      <td>0.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Location Loc  Population  MedianAgeMarriage  Marriage  Marriage SE  \\\n",
+       "0     Alabama  AL        4.78               25.3      20.2         1.27   \n",
+       "1      Alaska  AK        0.71               25.2      26.0         2.93   \n",
+       "2     Arizona  AZ        6.33               25.8      20.3         0.98   \n",
+       "3    Arkansas  AR        2.92               24.3      26.4         1.70   \n",
+       "4  California  CA       37.25               26.8      19.1         0.39   \n",
+       "\n",
+       "   Divorce  Divorce SE  WaffleHouses  South  Slaves1860  Population1860  \\\n",
+       "0     12.7        0.79           128      1      435080          964201   \n",
+       "1     12.5        2.05             0      0           0               0   \n",
+       "2     10.8        0.74            18      0           0               0   \n",
+       "3     13.5        1.22            41      1      111115          435450   \n",
+       "4      8.0        0.24             0      0           0          379994   \n",
+       "\n",
+       "   PropSlaves1860  \n",
+       "0            0.45  \n",
+       "1            0.00  \n",
+       "2            0.00  \n",
+       "3            0.26  \n",
+       "4            0.00  "
+      ]
      },
      "execution_count": 4,
      "metadata": {},
@@ -90,10 +238,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/png": 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\n"
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -134,7 +286,9 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "Text(0.5, 0, 'Median age marriage')"
+      "text/plain": [
+       "Text(0.5, 0, 'Median age marriage')"
+      ]
      },
      "execution_count": 7,
      "metadata": {},
@@ -142,10 +296,14 @@
     },
     {
      "data": {
-      "text/plain": "<Figure size 1000x400 with 2 Axes>",
-      "image/png": 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\n"
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\n",
+      "text/plain": [
+       "<Figure size 720x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -195,7 +353,9 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "1.2436303013880823"
+      "text/plain": [
+       "1.2436303013880823"
+      ]
      },
      "execution_count": 9,
      "metadata": {},
@@ -222,21 +382,59 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "WARNING (theano.gof.compilelock): Overriding existing lock by dead process '8294' (I am process '5171')\n",
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bA, a]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [a, bA, sigma]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
     }
    ],
    "source": [
@@ -244,7 +442,7 @@
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
     "    bA = pm.Normal(\"bA\", 0, 0.5)\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    mu = pm.Deterministic(\"mu\", a + bA * data[\"MedianAgeMarriage_std\"])\n",
+    "    mu = pm.Deterministic(\"mu\", a + bA * data[\"MedianAgeMarriage_std\"].values)\n",
     "\n",
     "    divorce_rate_std = pm.Normal(\n",
     "        \"divorce_rate_std\", mu=mu, sigma=sigma, observed=data[\"Divorce_std\"].values\n",
@@ -260,10 +458,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1200x400 with 4 Axes>",
-      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -285,10 +487,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": 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rtN6rtFbgYterJzaPx4OJiYkzE9ubfm2LxSI2NzexuLiIxcVFbG5uIhKJoKmpCX19fbh79y4GBwdRX19ftfUeZ7ZcIzgd+IIXi0UsLy9jamoK4XAYDQ0NGB4eRiAQgNVqxdbWlpBdOp2GyWRCd3c3/H4/uru7XwvZ6S+OWCyGBw8eYHV1FXa7Hffu3UNPT8+Fr+OkeNM332lwldYKXK31XqW1Ahez3kKhIDU2Etv4+Dg6Oztf/Z+PwZt6bUOhEBYWFrC8vIxIJILd3V0UCgU4HA4MDw9jbGwMPT09ZVqBRCIBl8uFZDJ5rueuEdwpUOkC2dnZwdTUFFZWVgAAfr8fY2NjcLlcKBaL2N7eFrJLpVIwmUzwer1CdmazuRpLO9FaAWBjYwP3799HNBqF1+vFvXv3LsXo+au0sV2ltQJXa71Xaa1AdddbKBSkxpZMJtHZ2Ynx8fGq2fK9ztc2Go1KpHZwcICDgwNks1kYDAa0tbVhaGgIo6OjZQbPxWIRq6urmJmZwfb2Nr7ne77n3IfwGsGdEPPz82hpaYHD4agYgcXjcUxPT2Nubg7ZbBYdHR0YGxuDz+dDXV0dSqUSgsEglpeXsbq6imQyCaPRWEZ2DM2rgeMu5mKxiJmZGUxOTiKfz2N0dBTj4+NVff7T4iptbFdprcDVWu9VWitQnfWS2J4/f45EIgG3242JiYmq+81e9GubTCaxtLSExcVF7O7uolQqoVQqScmmubkZgUAAw8PDaGxslP+XTqcxOzsLTdOQSCRgt9sxMjKCu3fvIpVKnWtNNYI7Ib72ta8hHo+jUCigt7cXfX19Ffvhcrkc5ubmMD09jYODAzQ1NWFkZATDw8NCIKVSCTs7O0J2iUQCdXV18Hq96O3thc/nOzfZnORiTqVSePToEebm5tDY2Ig7d+5gYGDgjbQVXKWN7SqtFbha671KawXOt95CoYC5uTk8e/bsQomNuIjXNpvNYmVlBUtLS9ja2kKpVILNZoPBYEAikUCpVILT6cTY2Bj8fn9Z7T8cDmNmZgaLi4soFovo6urC6Ogouru7YTAYajW4k6IaBFcsFpFIJPDs2TMsLy8jm82isbERfr8f/f39L7kGlEolrK+vY2pqCltbWzCZTBgcHMTY2Biam5vLfi4UCmFlZQUrKyuIx+Ooq6tDV1eXkF1DQ8Op13uaiyMcDuO9995DKBSCy+XC22+/jfb29lM/53lwlTa2q7RW4Gqt9yqtFTjbeovFokRs8XgcHR0dmJiYQFdX1wWt8hDVem0LhQI2NjawuLiItbU1FAoF2O12tLa2Ip1OIxwOAwB8Ph/GxsbKRDHUL0xPTyMUCsm+ODo6+lKppEZwJ0Q1CO43f/M3YTQa0draKvW1UCiE9fV1eYP7+/vR39//0hu1t7eHqakpOal0d3fj2rVrFU9qKtkdHBygrq4OHo9HyO6kQ09Pe3GUSiUsLCzg0aNHSCaTGBoawu3bt8tSCReJq7SxXaW1AldrvVdprcDp1lssFiViI7GNj4/D6/Ve8CoPcZ7XliWWxcVFUYpbLBb09vbCZDJhZ2cHoVAI9fX1Ul9TJ50kk0lomobZ2VmkUik0NzdjZGSkTDVZzfUSNYI7IdbX17G9vY3FxUVR9litVrS3t6NQKCCRSCAajUpI3t/fD7/fX9Z3xjdZ0zSk02k4HA6MjY2hv7+/omx/d3cXy8vLWF5exsHBAQwGAzwej7ioHEc+Z704stksnj59iqmpKTF2Hh0dvXC3lqu0sV2ltQJXa71Xaa3AydZbLBYxPz+Pp0+fIh6Pw+VyYWJi4rURG3GW1zYSiWBxcRFLS0uIx+MwmUzw+XzSozY7O4tkMonm5maMjY1hYGCgTDi3s7OD6elprKysyOF+ZGQEXq/3laWQS0NwgUBgDMD3ALgHoBOABcAegFkA3wTwu5qmna9aeA5Ug+B+67d+CzabDd3d3Whvb0ckEsH29ja2t7elEErxSTqdRj6fh8VigcfjQV9fH3p7eyXVWCgUsLi4iKmpKUQiETQ2NiIQCCAQCBxJWnt7e0J2sVgMBoMBnZ2dQnZWq7Xs5897ccRiMbz33nvY2NhAS0sL7t27d6E35FXa2K7SWoGrtd6rtFbg1WKu+fl5PHv2DAcHB3C5XBgfH0d3d/drXuUhTvraxuNxEYtEIhEYDAZ4vV709/fDbrdjbm4OCwsLKBQK8Hq9GB0dLSMs7m8zMzPY3d1FfX09BgcHMTIyUlaeqdZ6j8OZCS4QCBgA/GkAfwnAHQARAE8BhAFkALQC8AMYAZAA8M8B/B1N05bOteIzoBoEt7KygoWFBayurqKurg49PT0YGhqC1+tFLBbD1taWEF46nUY6nUYikUA2m4XRaITD4cDAwAD6+/vLeuE2NzcxNTWF9fV11NXVob+/H2NjY2Xy2Qp/j5BdNBoFALjdbvT29qK3txc2m61qG8X6+jree+89HBwcwOfz4e7du6e6SE+Kq7SxXaW1AldrvVdprUDl9eqJrb29HRMTE2+M2IjjXttMJoPl5WUsLi4iGAwCADo6OtDX1we/34/d3V1MTU1hc3MTJpMJAwMDGB0dLZtcEo/HoWka5ubmkE6n0draipGRkZeiumqs96Q4D8HNfPDhPwbwLzVNmzni56wAPgvgPwfwgwD+vKZpv3bmFZ8B1eyDoy3XwsIC0uk0bDYbBgYGMDg4KBv//v5+GeHt7e0hHA4jHo+joaEBTqcTN27cwOjoqCgxY7EYpqamMD8/j3w+D4/Hg7GxMVEUHYX9/X2srKxIEyUAaVFob2+vysTvQqGAqakpPH36FMViEdeuXcONGzeq2sN3lTa2q7RW4Gqt9yqtFShfb7FYxMLCAp4+fXqpiI3Qv7b5fB7r6+tYWFjAxsYGisUiWlpaMDAwgL6+PlgsljJFuM1mw8jICIaGhsq0AFtbW5iensba2hoAoKenR/a2aq73LDgPwf0JHBLbickjEAh0A+jWNO07p1rlOVENgvvKV74Ci8WC9vZ2+Hw+tLW1YX19HXNzc9jY2ECpVEJnZyeGhoak8AocFmfVdCabGMPhMMxmM1wuF65du4Y7d+7A5/Mhk8nIRcWekLGxMQwODr6SUKLRqJBdMplEOp2Gy+WC3++Hz+eD3W4/12uQTCbx8OFDLCwswGaz4c6dO+jv7z/X7ySu0sZ2ldYKXK31XqW1AofrZVPzkydPcHBwAKfTiVu3bl0aYiPsdjtisRg2NzextLSElZUV5HI5WK1W9PX1ob+/H06nEwcHB5iZmZGeXpfLhbGxMfT29kotPp/PY2FhATMzM4hEImhoaMDQ0BACgcC59xl1vZeiBnfZUQ2CW1pawtraGpaWllAqlWC1WuHz+dDd3Y3m5masrKxgdnYWBwcHqK+vR19fHwYHByu2D+zt7WFjYwMvXrwQuWyxWBTRya1bt8Tfcmpq6lh10lEoFot48eIFlpeXsbu7CwBwOp3w+/3o7e09V5pxZ2cH7733HnZ3d+F2u/H2228fm1I9Ca7SxnaV1gpcrfVepbUWi0UEg0F861vfEmKbmJi4VBZ4RDgcxvb2NqamppBMJlFfX4/e3l709/ejs7MTBoNBvr+2tgaDwQC/34/R0dGyPSwWi0kaMpvNoq2tDSMjI+jv76+6BWGN4E6IaqYow+Ew1tfXsbq6io2NDeTzeZjNZni9Xvh8PpjNZomi8vk8WltbMTw8jP7+/ooSf9p5TU5O4vnz51heXkahUIDNZkN/fz+uX7+OlpYWhEIhbG1tAQB6e3sxNjZ27Pwn9eKIxWJiFxYKhQAcThzw+/3w+/1nIrtSqYS5uTk8evQImUwGw8PDuHXr1onbGI5b72XHVVorcLXWexXWWiwWsbS0hCdPniCbzcJqtWJiYgI+n+9NL60MsVgMS0tLWFhYQCwWE9X3wMAAuru7YTQaUSgUsLS0hOnpaezu7oqv7sjISJkCfGNjA9PT01hfX4fBYEBvby9GR0cvdKLBm05RLgE4MXFomladXNYZcFFelIVCQYyV19bWkEqlUFdXh87OTnR2dqJYLGJjYwOhUKhMmHLckNR4PI4nT55gcnJSeuHsdjva29vh9XqRz+cRi8XQ2NgodTo1dXDUWtXfzz67nZ0dAIDD4RCyO60vZSaTkSGrZrMZt27dQiAQOHVbwVXY2IirtFbgaq33Mq+1VCphaWkJk5OTiMVicDgc+OQnP4m2trZLM1Q4lUphaWkJS0tLcpilkvv69evIZrPyc2xZSqVSaG1txejoKAYGBiQSy2azkoaMRqNobGzE8PAwhoeHX8vYrTdNcP8rygnuTwGwAvh3AHYAdAD4PhwqKP+Zpmk/c66VngPVILgHDx7AYrHA4XCgs7Pzpb61UqmEcDiM1dVVrK6uirrR6XTC4XAgk8kgFAohnU7DarVicHCwTJhSCbFYTKaIb2xs4ODgQJrN8/k84vE46uvr0dnZiXv37uHatWvSinCSiyMej0tkR+VUa2urpDEdDseJX5/9/X3cv38fm5ubcDgcuHfv3qmKzJd5Y9PjKq0VuFrrvYxrJbE9efIE0WgUDodDIrbm5uY3vt5cLofV1VUZQVMqldDW1ob+/n709fUJGdntdnERUU0nKPMnotEopqensbCwgFwuB5fLhZGRkZesti4K+Xwee3t78Pl8SKfT5/pd1eqD+5sA/giAP6ppWkL5ehOArwH4uqZp/+O5VnoOVIPgvvnNb2JzcxPJZBImkwmdnZ3o6uqSGpwe0WgUa2trWF1dlUjJZrOhoaEB6XRamsU7OzsxODgIv99/bA57d3cXi4uLWFhYwM7ODpLJJMxmM5LJJGKxGGKxmDRbvv3227h9+/apLo5kMinemNvb2wCAlpYWIbuT1thWVlbw4MEDHBwcwO/34+7duyeqGV7Gje0oXKW1AldrvZdpraVSCcvLy5icnHyJ2Bixvan1crbawsIC1tbWkM/nYbfbRSyiyvdLpZLoB5aWliraBtJacGZmBhsbG6irq0NfXx9GRkZe0hFUG6VSCbu7u9ja2sLm5iaCwSCSyST+6B/9o5djmkAgENgA8BOapv3rCt/7fgD/UNO0i3EQPQGqlaJsbGwU1eTGxgZisRiAw4vc6/XC6/Wis7PzJbVjKpUSstva2kKhUJAbJJPJwGg0wmKxoL+/v6IwRUWpVML29jaWlpawvLyMdDqNXC4n1mFbW1soFotwu90YGhrC2NgYOjs70dHRcWJZfzKZlMhue3sbpVIJdrtd0phOp/PY/5/P5/HixQs8e/YMAHDjxg1cu3btWAK/TBvbq3CV1gpcrfVehrWS2J48eYL9/X20trZiYmICvb29L6UiX/d6g8Fg2b1vsVjg9/vR19f3Uj0sm81ibm4OMzMz0rbQ19eHoaEhscfKZDKYn5+Xn7FarRUd/6sNqjk3NzcxPz+P/f19JBKHsZHJZEJDQwP+5J/8k/D7/ed6nmoRXBzAX9Y07R9V+N6PAfh5TdOqox09Ay6qBsc3iTZe+XxeanBerxddXV0vpflyuRw2NzextraGtbU1ZDIZJBIJ5PN55PN5NDc3w+VyYWhoCP39/cdeZJVMT00mE+LxOPb39xEOh1EsFoXgOjo6pD7Y0dFxItVTOp2Wmh3dwu12O3p7e+H3+481ZY7H43jw4AGWl5fR1NSEt956C729vSd6bS8zrtJagau13je51lKphJWVFUxOTr6S2IjXsd79/X2xyzo4OIDJZEJPTw8GBgYq1vPZU8sUo9vtxtjYGMbGxoREIpEIZmZmsLCwgHw+D7fbjdHRURnvVW2kUilpq5qfn0c4HJZ9z263o6mpCWazGUajUQ7tX/rSl9DX13eu560Wwf1THDZz/ySAr2qalgkEAg04bOz+JQC/o2naj5xrpefARQ48JQqFAoLBIDY2NmQUO3CYlmR05/F4yoxFKTMm2XHabSaTgclkgtPpxPDw8CuFKcDhaW11dRVLS0vY3NyE2WxGPB5HOp1GJpMRZabFYoHZbEZdXR1cLlcZ4b0qv55OpyWyY6TY1NRURnaVNoKtrS3cv38fkUgEHo8H9+7de4n4a5vwxeEqrfdNrJXE9uTJE0QiEbS0tGBiYgJ+v/+1+CVWQiKRwPLyMhYWFrC3tweDwYCuri709/eLWluPSq5Io6OjknGx2WyYmprCzMwMtra2YDQa5WfO2+ajRyqVwuzsLObm5rC4uIjt7W2Zgdnc3Ayn0ymH7Egkgv39fWQyGaTTaZhMJjQ3N+OLX/zipSG4FgC/AuCHcCg8OQBgB2AA8K8A/FlN0/bPtdJz4HUQnB6JREJSmVtbWzLNtqOjQwhPr76KRCIiUllbW8POzo40e3d1dWFiYgLDw8OvlPUnk0mEQiE8f/4coVAI0WgU6XQaBoNBpiE0NzcjlUrJYEKj0YiOjg643W50dnbC5XIdS3iZTEbIbnNzE8ViETabDT6fD36/Hx0dHWV/W7FYhKZpmJycRDabxcjICCYmJk4lirksuEprBa7Wel/nWkulElZXVzE5OSnENj4+jr6+vhOrIqu53mw2i+XlZZmtBgDt7e1i3K73mwUOywH0td3f3xelYyAQkJ9Pp9OYm5vDysoKwuGwzKgcHBw8c1uPfg3hcBgLCwuYn5/H0tISgsEgisUiDAaD9N92dXXJeDAGAYlEAo2NjbIv+f1+uFwutLe349q1axJxnhVV7YP7wHT5LRwaLm8DeF/TtKlzrbAKeBMEp4L1MRIeG68tFouQXVdXV9nFFo/Hsba2hpWVFUxPT8sJyOFwYHh4GPfu3Tu2uZJrZS8MT1HBYBC5XA5tbW0YHR1FIBCA2WxGMBjE9va2rM1kMr1EeEdFkNlsFmtra1heXhbLHzbC+/1+uN1u2TDS6bS0FVgsFty6dUtIu7YJXwyu0npfx1qrQWzEeddbKBSwvr6OxcVFGb3V3Nwso7eOOswmEgkZP5NOp9HW1oaxsTH09fXJwXR3dxfT09NYWlpCoVAQouzp6TlzW0Mul8Pe3h52d3fFn3djYwPRaBSFQgFmsxkejwd+vx8ejwfFYhFbW1uy/xSLRZjNZjidTvT29oqfb3t7O+x2O1KpFDY2NrCzs4M7d+6cm4CrFcF9F4BHmqbFK3zPBuCOpmm/f+ZVnhNvmuD0SKVS2NzclHQm1Y7sdeMbTkLJZrOSv56cnMTm5iay2Sza29tx8+ZNvPPOOy85/VdaK5WYs7OzWF5eRjgchs1mQ29vL9555x0MDw9L2pRemky1mkwmIbvOzk44nc6KhMe1kuwKhQIaGxvFCNrtdqOurg57e3t47733EAwG4XQ68ZnPfOa19NZUA1eJMICrtd6LXiuJbW9vD83NzZiYmDgTsRFnWa9eKKYOTx4YGDi2rh0KhTA9PY3l5WUUi0UZKtrZ2Qngw4GiMzMz2NnZEcXkyMgIenp6TrXWbDaL3d1dIbTNzU1pgYpGozAYDLDZbHC5XPB6vXA6nTAYDGIEv7u7i2KxCKPRCI/Hg4GBAQwPD2NgYACtra0wGAxHlnasVis+//nPn9v2q1oEVwDwcU3T7lf43h0A9zVNq3oDxQfE+tM4nGbQBeC/0jTtV/Q/d9kITgUlsozuQqEQSqUSGhoa4PF4hPCYbigUCtje3saTJ0/w8OFDSQ92dXXh1q1b+PjHPw6Xy3XsWnmDccDp6uoq0um02G59/OMflwsrnU4L4QWDQbkAzWYzOjo64PF4hPD0m0Qul8P6+jpWVlawvr4uI4RIdp2dndJWUCgU0NXVhTt37lx6ortKhAFcrfVe1FpVYrPb7UJs5xVUnGa9e3t7WFhYwPLyMhKJBMxmM3p7e9HX1yem65VQLBaxsrJSZtunHz+TTCYxOzsr89nsdjtGR0fLBoq+apqASmbhcBiRSASxWKysxNHU1CSk1tTUJBHazs6O1NGsVis6OjowMDAgY8BYigAOW6hIaKo4z+12y37ncDguj1VXIBAoAvjYEQT3aQBfuwgVZSAQ+AKATwJ4BOBXAXz5ogiuVCq9ljRaJpPB1taWEB775RwOh7z5jIJKpRI2Nzfx/vvv49GjRwgGgzAYDPD5fPjEJz6BsbGxV/awUIn56NEjPHjwAKFQCBaLBdevX8e7776LoaGhsp9PpVKSztza2pKG9vr6+jLC09cX8/k8NjY2sLy8LH07FotF/Dzj8TgePnwIg8GA8fFxjI2NvZam0rPgKhEGcLXWW+21rq2tYXJyEru7u7Db7RgfH0d/f3/VlIKvWu/BwYGUCPb391FXVyez1Xp6eo5VMrN2NjMzI7X40dFRDA0NichkZ2cHMzMzEtFVms+mX2s6nRYyC4fD2Nvbw8HBAYrFIuLxOLLZLAqFgqQcjUYjbDYbzGYzSqUSUqkUotEoYrEY8vk8rFarTCEYGhqSBngim81Kj9vGxgbi8cNEX3Nzs/QSd3Z2vvRavGknk+8C8O4Hn/5tAL8MYF33YxYAfxRAQtO0d86z0Ffhg1aFv3hRBPebv/mbcoJhEbS9vb0qRdrjEIlEhOxYuDWbzdKK4PV6JdpaW1vDt7/9bbESAg59K2/fvo3R0VF0dna+Uok5MzODb37zm3jx4gXy+Tw6Ozvx8Y9/HJ/4xCcqpguSyWQZ4fF56bDCh8PhkBsun89jc3NTyC6Xy6GlpQU2m00Kzy0tLXj77bcvnSM7cLUIA7ha663mHMPHjx9fGLERldabTqdlthpNHtxut8xWe9Wesb+/L04i+XweXV1dGBsbE9LS+0fW19fLfDZ9zY5Cst3dXZHqk2AoLisWi8jlcojH4ygUCqJkNBqNqK+vh8ViwcHBAfL5PHK5HMxmswx/9vl86OrqkkM3fy+zUpubm9jZ2UGpVJL6XFdXV9m+RcRiMQSDQQSDQezu7uJTn/rUudWd5yG4vw6A9lttAGIA8rofywKYAfDXNU17dK6VvgIXTXDr6+sIh8NYWVnB/v4++NrY7fYywnM6nRcWeeRyOWxvbwvh8cZqbm4uazSvq6vD9vY2vv71r2N6ehr7+/vSrsDUjNfrPbbx++DgAL//+7+P73znO9jZ2UF9fT2uXbuGT3ziExgeHi5LOahIJBJlhMc1WiyWshoe2wQKhYLcBJqmIZvNIpFIIBaLoaGhAdeuXcPHPvaxU3tkXiSuEmEAV2u9513r+vo6JicnEQ6HYbfbcfPmTQwMDFxIbxfw4Xrz+XyZXVaxWERraysGBgbg9/tfWUsqlUpiaLyxsQGj0SikxXtFLyzRDxRNJpMSlTFCU1WIFHsxUtvZ2UE0GkU8HkexWITFYkFLSwuam5uF+LLZLHK5HGw2G2w2m5CTx+MpU3Umk0mJ0La2tkRX4HQ6RUTX0dFRRoJ7e3sIBoPY2dkRdybgcK/o6OjApz/96XPvpdVKUS4B+OOapk2eazXnwHEEl8lkStUgHbpv53I5hEIheVDODwB1dXVoa2uDy+WS5uqWlpYLMWPd39/H+vo61tfXsbm5iUKhIAXd3t5edHV1ob6+HtPT0/jOd74jE8BbW1vh8XgwOjoq9bBKEmTg8EKcnp7G17/+dUxNTSGTyaCzsxNvvfUWxsfHy2bfVUI8Hsfm5qakKHh6tFgs6OrqkhOd0+lENpvFxsaGWApRqNLa2op33nkHn/3sZ49c5+sEr4Orgqu03rOudXV1FY8ePUIoFILdbsetW7cwNDR0YcQGfDgJZHZ2FktLS8jn82UDkF/l+AMcHlpnZ2fx4sULRKNRWK1WjI2NYXR0VCK9ra0tGX0FQO7Z+vp6IbNwOCwEAUBk91Qmbm9vS0sPCa21tRUtLS3w+XxwOBzI5/NIp9NIJBIolUpldbGenp6yOju1ANx/9vb2ABy6PXV3d6O7uxter1eMKgqFgjgtMUqj8XNTU1NZtocClGpctyaT6aMxLueiIzjg+NNlMplEOBxGKBRCOBxGOBxGLpcDcJiuY4THaK/aNjj5fF7USBsbG9I0SRuxrq4uGI1GLCws4NmzZwiHw0ilUmhubhb1ps/ng8/nOzJaikQi+M53voMHDx5gZ2cHVqsVPT09IrF+VTM6cBgZcvjr9va2HAza2trQ0tKCzs5OeDweNDU1YWtrC7Ozs/jmN7+J9fV1WCwWvP3223jnnXfQ3d1d9flTJ8VVioiAq7Xe0651fX0dT548EWK7ceMGBgcHL5TYQqEQFhcXsby8jFKphGKxKHZZnK32KsTjcUxPT8tctfb2doyNjcHv96Ourk7629gixNlrdrtdhhkDkN5Wp9OJtrY2NDU1IRwOY3FxUaLJVCoFo9GI9vZ2tLW1ybicQqGAVCqFnZ0dec3V/aKzs7PMmCIWi8lhWi8OYWTHUkQ2m8XOzo5EaJx5CRySr9vthtvtRkdHx5FetZdJZPLDAFo1Tfv/fvB5H4B/AmAMwL8H8OcuutH7TROcHqVSCdFoFKFQCLu7uwiFQtjb25PUZlNTUxnhOZ3Oqm/YmqZJyiCXy8nF6HK55ES1vLyM/f19GAwGNDQ0oLW1Fa2trejp6YHP53upYRv4cNTGe++9J0IYl8uF7u5uDAwMoL+//9hZdSpisRi2t7cRi8WwuLgop1CbzSYpzY6ODqyvr+N3f/d3sbCwAIvFgsHBQYyOjsLv978y3VptXCXCAK7Wek+61o2NDUxOTiIUCqGpqQk3b968UGLjZI/FxUWZ6tHT04MbN26gtbX1xKm0YDCIqakprK6uAnh5tuPm5iYePHiA58+fSymEh2Oz2VxGZq2trdLTx9YfOgwZDAa0t7dL68Hg4CBaWlokimM9/zjj+Gw2i+3tbUk96klQ9d5NJpNCaMFgUCK6uro6cS0hoZ1Ut3CZCO4xgF/VNO3nP/j8awCGAfwjHNp3/RtN037qXCt99RouFcFVQj6fl3QCH/x9BoMBDoejLNJjqH7etbK3jRcqLz6qnzKZDGKxGJLJJJLJJBoaGlBXV4eGhgZROvb09MDj8ZSRMIvdz58/x+LiIqLRKOrr6+FyueB0Ois6m79qvbFYTHrwtre3kUqlABweCNxuN9LpNGZmZhAKhURsw4Z5v9+P7u7uslPnReAqEQZwtdb7qrVubGzgyZMn2NnZQVNTE27cuHFhqUhO2FhcXEQ4HAYAdHV1oa+vT1KEJ3ltOSB1ampKhooODQ3B4/GIPH9ubk7aAIDDnljW19ra2kRsQbcjThHY39+XocudnZ1iphwIBFBfXy+KbI7RYVM4Iy7Voo91MbVlSS9q6+rqQnNzswhCdnZ2sL29La8BDSJIaC6X69QH91gshr29PQwNDUkW7KyoFsFFAfywpmlf/8C2K4TDmty/DgQCPwLg5zRNq/q42w/G8Qx+8Om3APwcDq3B9jRNW+XPXRaCqwSqnJjaDIVCkps2m80S3THSO2mP2KvSqWqjeSaTkZx7NptFNptFQ0MDTCYT6uvrRTJsMpnQ1dUl0n71JLa1tSWuCZFIRBRYNptNZlP5/f5TpyOi0WgZ4aXTaRQKBezt7SEWi6G+vh4+n0/GEBmNRnR1dYljw0WQ3VUiDOBqrfeotW5ubmJyclKI7fr16xgeHq46sek9XUulEpxOp8xW09eAj3tt6cc4MzOD3d1d1NXVifKavWWs4RsMBrS1teHatWu4deuWKIrZYM1MSzQalVqfy+WSXrO+vj5YLBbs7OzIfa06JnV1dWFoaAgtLS0VxSF8qOIQkqDL5cL+/v6xghBGZ0cZQBz3eqt7XygUQiaTAQB89rOfPdVMyUqoJsH9Z5qm/ftAIPCDAP45DlOWmQ/aCX5H07Sqz14IBALvAvhGhW/9n5qm/Vl+cpkJTo9SqYSDgwN5s9mnwvw1x86rqc1Km/hJ11osFhEOh+XUFg6Hkc1mEY1GRRLsdDrleeLxOBKJBAwGA9xut0R3VInFYjFMT09jfn4eyWQSpVIJ9fX1KJVKMBgMcsr0+/1lSsyTrLdUKmF/f18Ib3l5GZqmifP7tWvXYLfbxaW8rq6ujOyOUn6eFleJMICrtV79Wjc3N/HkyRMEg0HYbDaJ2KqpVC4Wi9jY2JCoqFAoyGy1gYGBYxW8+vXSSeTBgweYmZmRQ1hHRwdaW1thMplgsVgQi8Wwv7+PhoYGOcA2NjYiEolIkzUVjsBhBsPhcGBgYAADAwPweDxoaWkpGzvDUoTqeUsBl8FggN1uRzQarZjNIQmyz5Zq6GAwWHboZiaFk0lOo27m/asK9JiGzWazsFgssFqtkjn67u/+7nOXHqpFcL8PYB7AXwLwfwEwaZr2hQ++9yUA/5OmaZXnpLwGVIPgfumXfgmZTAYdHR3w+XzyJtvt9gsfV8+IRT3pqDcVFVNMbzocDrS0tJxpU0un02XRHU9tmUwGdrsdPp9PZMmqs4nD4RCRChWRc3NzmJ6eRjweh8lkQlNTE3K5HBKJxEsNrw6H40yWR5FIBJOTk/jmN7+J7e1tNDc3o7e3F42NjdKUajabxRmmt7cXPp/vXP2LV4kwgKu1Xq51a2sLk5OTF0ZspVIJOzs7IhbJZDIyW+2kNeRisYh8Pi8mxpqmYWZmBpFIBHV1dfB4PBgbG0NPTw/a2tqQyWQwOzuLhYUFJJNJkd5bLBYkEglptqa9Ha9lqo2dTqdYW1Hsoc6kJEFVEodsbGwgEolgcXFRDn8kwfb2dvm9lQQh6ritkwwvJtLpNMLhsESVGxsbSCQSSKfTcvA1m80wmUywWq1l763VasVnP/vZc7cHVYvgPgngqwCaAcQB/BFN09774Hu/AaCoadqfPNdKz4FqENxP/uRPltWEGhoa0NDQALvdLg4eJBmKI5xO54WJH3jxqOlNphdMJhO6u7ths9mE9M7i6abm5Gn6zPSEw+HAyMgIxsbG0NDQgPX1dQSDQZRKJdhsNvT09KCnpwdutxsbGxuYmppCMBiU0ywJkpPJR0ZGRI11lrRToVDA1NQUvvWtbyESiaC1tRVWq1V6fjKZjESkra2t8Pl8Zya7q0QYwNVa78HBAf7gD/4A29vbsFqtuHHjBoaHh6tGbNzkl5aW5ODl8/nQ399/7LVXKBRkxiLtrPb29mA0GrG6uopQKASj0QiXy4WbN2/i9u3baGhowM7ODh4/foznz58jHA7DaDTC7XbD4XDAZDKhUCggk8mgoaEBjY2NaG9vh8fjgcfjgdvthslkwt7enhw6K4lDvF5vGRHkcrky5xC+9x0dHVLPMxgM0ocWiUSkREFBCA3WT3pvZDIZGeqs+kpmMhk5PHDum91uR2trK2w2m3yND+BQYRqJROQ1PA+qNk0gEAjYcSgsWVAVkx/Yac1rmjZ7jnWeC9UguHw+j0QigdnZWRkAyqneiUQCqVQKuVwO9fX18mhsbITD4YDD4UBbWxva29vlJMQ32Gq1Vi0CjMViQniJRELcyYHD/hS1ltfe3n7qi4eWOxx7s7q6ilwuh9bWVly/fh3j4+NoaGiQCzyfz6O+vl5aEBoaGjA/Py/y6p6eHrS3tyMej4uS8rSnaD2SySQePnwoasuhoSE0NDRI/83+/r7M3CPZDQ0NYXBwUCK/V+EqEQZwNdZLf1VGP9evX0cgEKgKscXjcZmtFolEZLbawMAAenp6XjqE5vN5qX+RzCKRiEQ1vLcpzAIgsveGhgZEIhGsrKwI8ZVKJbhcLnR1daG1tRWZTAbFYhF1dXWw2+3SC0rBFLMofKh2fWoaUS8OIaHt7OwICXo8HjQ3N4vQgypQ4HSCkEKhIFHmwcGBlDXoQ6l/fdSWH4/Hg9bWViE3m80mEWYikRBTiO3tbUnJNjY24vOf//wrR4O9ClUdl3NZcVE1ONbL9vb2JHe+srIimzUjh0KhIGkBo9EIs9ksFjhWqxUOhwNOp1OIp7m5WUxN1YvhtGuNRqOIRCJlqU16RwKQ6eGs6bW1tZ0qetrb28OjR4/w+PFjLC4uSvPotWvXcPPmTTQ0NGBvbw9ra2tIp9OStmlvb0cikZCJ5k6nE3fv3kUmkxH7LrUOclIlpoqdnR2899572N3dhdvtliGr4XBYnFYWFxfFFoiDGAcGBjA+Po7BwcEjm8qvAmGouMzrDQaDmJycxNbWFqxWq9iznZfYeC0tLS1he3sbAOByudDX14e+vj45yOTzeSExPlSnooaGBukfczqdyOVy4g+ZTCYlS2MymaQ1iH6PjIgcDof8PovFIpFXZ2cnmpuby8ZpbW5uimLTYrGI4XpXV1fZ9ahOJNna2pLMEk2KGR2GQiEhyNbWVjQ3N1cUhJRKJSQSCcTjccTjcRwcHMjHbHeKx+Oyr+VyOYk6Ozo6hHhZvjkq8mPTeSVrP4fDgebmZln/9evXhTTPivNYdf2/APxvmqZFj/yhl//PZwDYNE376qlWeU68bpFJJpMR0uO/u7u7SCaTSCQSSCQSQnq5XA6FQkGaO7PZLMxmMywWCxobG9HY2Ai73S5CD56A1IfVan2JmI5aazabLWtTUB0QjEajRJokvpOeoGKxGN5//308ePAAm5ubyOVyoj4bHR1FQ0MDMplMWcqETaGxWAwmkwl1dXUYGRmB3+/Hzs5OmZLtJEpMPUqlEubm5vDo0SOk02kEAgHcunVLbj5uLNvb25ifn5f2g1QqBZvNBr/fjxs3bmBiYqJsAvllJoxKuIzrDQaDePLkCTY3N9HY2CipyLPUYol8Pl82W61YLKKlpUUUkI2NjS+RWTQaLSMf3md8GI1GhEIhPHnyBE+ePBGyZBmCTj4HBwfiFJTNZmG1WiXFp0YyTA8eHBwIQbGRm+IQkoXqHKK2+qgKSSqVzWYzisUiYrFYmSBEnenY1taGra0tIS6VzBKJhJBJOp0u855kZopkT5cSt9v9ykNxOp0WQRgj2mw2i2KxiMbGRjnA0zxexec//3m43e4zXQvEeQjuqwA+DeArAP4FgG9rmhbS/YwZwA0AnwfwRQAuAH9G07TfPdeqT4nLoKIsFouIRqPY29srI790Oi0WOUajUU5e2WwWqVQKxWIR6XRaPOEYBZIA+S9TnnywQZufH5eOjMfjEuGxTy+fP7QV5UWtkt6r8vLcvJ48eYLd3V1ks1k4nU5RXdrtdhGIMIVjMpkQi8VQKBTgcDikkbuhoUGsu9gjdJQS8yhks1k8fvwYMzMzqK+vx8TEBAKBwEs3Jk+8c3NzeP78Oebm5sRphYa34+PjuHnzptQ7rwIuE8EdRWxMjZ12raVSSQZqrq6uCrnQVYPGvyQzwmq1SlTGCM1kMkmNLRwOY3NzU6L8XC6H9vZ2XL9+HdevX4fb7cb+/j6ePXuGhw8fit9rV1cXBgcHxa+RfWb5fL7MR5aRS1NTk0RoHo/nJXGISoK5XA7FYlFaeAwGA9LptBATU4BWqxUWiwWFQqGMwEwmU9l1y/2D+00mk5FIUCU0l8t1rAMT7b2SySQikYjYd21tbcn9bzAY0NzcLF6Xzc3NsNlskqmyWq0vHdrb29vfbKN3IBB4G4fKyT+Ow8kB4Q8eGQCtOJzRZgbwAodN3/+HpmnJir/sAnEZCO4o0CCVhLe3t1d2I3I2HMdWsFctEokglUrJhcnBggBEElxXVweLxQKTySQO4OpFpV5MTU1NsuGTjNXUpt5gWt+qUCmllMvlsLS0JMqx/f19GI1GWK1WSZfwRGswGLC6uiopX9b2xsbGcOPGDXi93rLp5NFo9FSjR4BD78779+9jc3MTDocD9+7dO7bPJp/PY2FhAU+ePMH09DS2trakL8rn8+HatWvo7+8XMcBlxWUguJ2dHTx58gQbGxtobGyUGttZR6Ts7u7KbLVYLIZMJiObJgAhEODQFUeNykhmJD6Ktfi8TMulUilYrVYMDw/jrbfegtPpFAcVHt4aGhpkjmEgEJA6HPDhJBBaW7Eups4904tD9GbqjHbYj0qxFGX1FLtVioDq6+tFvEExXDweRyqVkv7b/f19+fmWlhZ0dHQIobW2tor5eTKZRDwelywUPz84OJD+PKYvDQaD9Md5PB709PTA6/WiqalJiOwk4pXL5GTSBOATAG4D6MQh2e0B0AD8gaZpc+da5TlxmQmuEljkJvHxY3b1c2yP1WqV8J7Ex96Zuro6ufFpXGo0GiXlQacSNYrRn6JUMqyvr0cikSjz21QNph0OR1k9r7m5uUw8E41GMTc3J0SXTqdhsVgkarVarbBarTCbzcjlcgiHw1hfX0coFJKJ4J/85CcxOjoqmxMl3jydcnjkq5SYq6ureP/993FwcAC/34+7d++eKO0ZiUTw6NEjzM/PY25uDvF4XE6agUAA/f39oj67TIT3JgkuFAphcnISGxsbsFgsuHHjRkViI45baywWg6ZpePr0Kba3t8V1x2azweFwoK6uDk1NTWVERgs8dZBnOBwuI0C73Y62tjZJ36dSKTQ2NsLn86GtrU3Sj/Pz85Ki9Hg8uH37Nr7ne75Hoq50Ol3mHKIXh7DuVkkcwj62SCSC/f19GWFTKBTkY4vFIjUqu90Os9lcRmB6RWKpVBKZPl2T+No2NDTA4XCgqalJIjmVzFhKYSaHKJVKyOfzyGQy4onJkkpXV5cok1URzFlxaQjusuOqEVwlUNCiRnqRSERUR8CHNQTKcLPZLEqlkhSH6Z4AQG4ail4YHRoMBrmI9QVek8lURnpGo1HSGjzRUbWpGkzzQdn++vo65ubmpE5isVjQ1taGZDIp0avFYoHFYpFBqSsrK0gkEnA6nbh9+zY+9alPwe12y3RyTh/gyfZVSsx8Po8XL17g2bNnKJVKuHHjBq5fv34iYrLb7djc3MTCwgKePn2KpaUlxGIxqRW6XC6ZWE7Ce5PDW9/EdasntuvXr2NkZOSVr6+61lQqhY2NDTx//hwzMzPY2NhANpsVg3C/3w+32/0SmVHwRUJT62yM5ph5aGpqwtramjRll0olacje399HLBaTulFLSwsCgQDu3bsHr9crfZazs7PY3NyUFDp7Lpl6ZFRJQqOn5erqqih7s9msWG5ZLBaxAWP9jhZZKoGpopNisSi9sqwrUy1McmxpaSkzXmCtToV6yLVarWhsbEQmk5GoNhqNlnld8hq/iCxGjeBOiI8CwR2FTCZTFu3x3/r6elFysU2BJzaTyYRUKoVYLCYPWgARrPPV19fL8EOmEtmsrY7nAA5v4FKpJCOFWDtk2wQ98NR8/urqKubm5pDJZJDP5+HxeGCz2WSyOQmZ7g8rKysIhUKoq6tDb28vPvaxj+HGjRtwOp3iSLG4uHhiJWY8HseDBw+wvLyMpqYm3L17F36//9jXXH8dxONxrK6uYn5+XtKnhUIB9fX1somyt4iEd5Fu969a70VCT2zXrl3DyMjIK/tBk8mkDOVcXl7G3NwcVldXJYXmdDoxPDxc1jitkhnrZuzpAj5sjeEBq62tTUghGo1iampKUo1MnTc3N8t1zAyFw+HA0NAQRkZGYDQaJULb2tpCXV0dMpkMXC6XCEMaGhpEUk8H/vX1dXEKSqfTUk+nQ0l7e7sYHvf29spEjUrXCWvFa2trWF9fx/b2NoLBoJQsAEjfGUVp3Afq6upeKk+oHwOH6V8qHYPBoOwLTqdTCLejo+NKeL7WCO4UuIwEVwl0Q1hbWysjPhaQgQ+tf9j4yYufaQzm1GOxmDgsEOxzaWpqkuiPBJjJZERunEgkyj5nDp91RYvFIqfAtrY2ea5SqYSWlhZxQGctg4IUjvjgTKnW1lb09/fj1q1b8Pl88Hg8MoBSVWI6HA5R1OlTkltbW7h//z4ikQg8Ho+0FVTCcddBIpGQPkk6TZDsjEYjbDab1GGobmtvb79Qwnsd1204HMbk5CTW19fR0NAgEVslYovH42VqRg7mZIQQjUbR2NgIl8slwh76IZLMQqFQWe+VqoBkdFbJt3V2dhbf+ta3MDs7i1gsBofDIRGSw+FAKpUSkRWvQbvdLgpGCsNMJpPUomliTPl8Op3G/v6+/I3ZbFauAUaafX19Mg1bdQgpFouSHmSqkBM3VKd+EhkJq62trcxgQiUv/tva2vrSdcCokrJ9CmqAQ2Inoam1xdeFGsGdEH/YCA6ovNZKghamZYBDc2c12lOJj2lO/UNNkQKQUzAVU6riizcsbyj63NHbkjeW0WgUZwVORR4ZGUFPT48oPtlDwwZRbjo0gmYtgHOv6ArPNJLb7UZ/fz96e3vL2gZmZ2fx+PFjZLNZjIyMYGJi4qUb+6TXQTKZFLLj/CySu9FolL+XhMcI77SGta/CRV63u7u7ePz4sRDbtWvXMDo6KsRG0ZAqzVdnmVEJSFcRpvb4GqgkqKa/VSJjWr4S0uk01tfX8eDBA0xOTkp2o7e3F7du3YLf74fRaMTy8jJWVlZQKBRgsVhgNptxcHCAjY0NiYwsFosQBdWEjLJyuRwikQi2t7cRjUal9s30KWfF0WEnn89XFG6wrsU+tIODA2QyGcmC0DrL4/GIXJ99Y6+C3W4XD0zeN8FgUMyNm5ubpU7odrurPrPyONBxiNmkg4MD3Llz53J4UV52VIPg/sk/+SeiqmJjNpVGZ23GvkicdFPL5/Ny2lTJTxW0UO2oEh/TGfl8XlIxvDj5sSpJpjBGJT/WFIDDU72maWX+l3RmUb0saZ7c2dmJUqmEZDIpPUW7u7tibkulI0+htA6jGe7CwoIoMVVXC0qpJycnoWkaGhoacPv2bQwNDYlo5iyEkUwmsbq6KmRXKpVgsVgkCk6lUpKOo52Zx+OR6PY8bjcXQXC7u7uYnJzE2tqaEFtXVxfi8XgZmXHz5GGFpt10w0gkElJXo8SdLjgAysy+SWjH+b9y8O/W1haWlpYwPT0tFnLd3d24ffs2rl+/DgCYnp7G1NSUHJYMBkNZmr6xsRFtbW1likfWv/L5vIhDpqamylSXNptNvCOpYqYoQ7+nGgwGSelzSDEPQWx3oBfkWQclcyIHZy7yvqSLCg9WRxkbVBMsjTBSPypLZLFY8LnPfe7UBg961AjuhPilX/olrK2tlTVSAofRBi/GlpYWOBwOtLa2CiGwWZoKwdeF82xqFLToiU/9fRSGqGnOlpaWssiDc+YqkZ++3ud2u2E2m4X8bDYbCoWC9AK9ePEC8/Pzkj5iAd7lcolpazwex9bWlkjH6YvJjZE1wMHBQQwPDwOA+BJWUmKyrWB7extOpxP37t2D2+0+N2Gk02khO6ZP+fc0NjaKJRoFN/X19XC73bIZsUH+pKgmwe3u7uLJkyeYnZ2V2lNLS4s0OAMfqmr5mtMWbnV1FS9evMDq6ioSiYRI3Jubm0VN6/V6RZnqdDrR0tJy7N9KpeDW1pbYRu3s7GB9fV1UlnTYqK+vl/EzvJeLxaIMH7bb7ejp6UFvb6+0f3DTj0QiePLkCZ49e4a5uTkZ66LWlzs6OuTaNRgMog6mIMRqtaJQKCCdTsvBTM2AUKZPSz/9/XRSMKXJB2vlTqcTra2tch2dxjj5NOChV09i6jUCQNyD1EMvD770+b1UKcpAIPB5AHcB9AD4HzVNW/1gXM68pmmb51rpOVCtFGVTU5OMd1dTJyQASvQ5U41g06TNZkNLS4ucZFlcdjgckiuvlhLpIk7t2Wz2pUhvf39fUkc8peujvUq5e9YW+MjlcggGgy+d5LgBNjc3i+v6ysoKlpaWEA6HUSgU5IRPgrBYLIjH46K+Yw8f6351dXWyiXq9XvT09MBms8nfxqh1cHAQ/f39SCQSePDgARKJBPr7+/Huu++e20KISKfTWFtbK5vG3NTUhN7eXnR0dJRFJKrEmylN+vwdRwLnPexEo1EsLCzg/v37EgHw+Sk3V/vMOOE6Eong6dOnePHihbRzsO5K0Y0anXGDe9Vaw+Ew5ufnsbS0hPX1dcTjcWk25vXT1NQkkQlrT3yNs9ksHA4Henp6xOS7paUFFosFqVRKrk1N0zA/P4+1tTURrxiNRtjtdrjdbgwMDGB4eLjMXUglM66VMv1QKCSZETZRk9B4UDsL6OXKh+rnyGuEA0urtSdQhKOSGElNX7ZQMzf67M1FXbdEtfrg3DgcNHoHwDKAPgBvaZr2KBAI/P8ApDVN+wvnWuk5UC2z5aamplc6WNCUmTPdSILsb6FUn84kwIc9aZQGt7a2ClFwA2AUSEXUq/C66oW0B9ITn17QopJ6W1vbS2kmrlfNxb+q3lcoFMRbkhZnNHllm4HD4UAymZRTdyKREMk+DbKpGG1ra5OUCOuT/J29vb1SE2ppacH169dx+/btqkbldGRfXl7G5uYmisUibDYbfD4f/H4/rFarTFBWpyjTDopRnj6tc5rZgNFotCzFyPXs7e3J1Ifx8XEhp9bWVtTV1YkKcmdnB5qmQdM0Mf1tbGwUy7be3l65Dipdx3a7XdpfWIPa3d3F6uqqKAapbmxoaEBTU5OMrTGbzWhra8PY2BgCgQCSySSePn2KR48eSe3V5XLB7/fD4XCgoaFB5PlUJm5tbSEUCknK0mg0inMOXUw6OjpgsVjEUIHXbSQSkXEz6kgrDjNlAzX7RM+KZDJZ5ueoHnxI6l1dXS+NmjnLnsDeWn0kRvEUwftEH4mpRs+nxWUiuF8HcA3AD+GQ4LIA7n5AcP8PAH9L07Thc630HKgGwf3qr/6qjLVQe0RomMx/Vfuso4iIp0R1M2E0tL+/L4VlGjUDkJlmjGhaW1tlUoE+CmS69E0KYmjbo3doOUrQ4vP5xLT2KKipD5X4qLJk3S6Xy0ndsLGxUTZZ1kGYsiHRstUinU6Lt5/b7YbNZpNeLFol0VQ3k8mgqakJY2Nj8Pl8FZvjz1ObzWazWFtbk6kVhUIBVqtVyM7tdiMej4txdKWTOx/d3d0vXQvFYlEmK1QScmQyGUSjUSQSCTgcDty6dQv37t1DY2OjuGCojdPBYFB6z2icOzIygps3b740x42HmErGvvl8XpqSeSBMpVJSr+REeafTiXA4jLW1NYnI7HY7kskkFhcXMTs7KxG+w+FAb2+v+JgyU5JKpeT1C4VCKBQKMJvN6OjoEKu4a9euVSQjmh6wRYTPBUB8KNXJHefJzKTTaYniz5O6PoowisXiS/cVSU1fR7fb7WVRGP+9iPrdZSK4GA49Jn8rEAgYAeTwIcF9GsC/0TTtZc3ua0I1CO6Xf/mXsb+/j3g8DqPRKLJv1g4aGxtfuohVw+TjHvoUHkdTMJLhRsIocH9/H6lUSkiQjZckwIaGBrhcrjJBDGtkKjlf9KBWPThTi+NHSH5UqKXT6TJBC8mvktxbDyrP1tfXMT09jbm5OentczgcZcq1ZDKJ/f19JJNJmeHFNCV9+5hOoy9md3c3crkc1tbWZFRIOBwWkUpvby9KpdJLqcvjLNL4eFVEns1msb6+jpWVFRmBRHeX3t5euN1uca6pVHth4zKv2VQqhUgkUnZ44jViNpuladlsNmNwcBAdHR0iCtnb2xMiTSaTYvtkNBrR0tKCsbExDAwMoLW1tazOpD4SiUSZ2MJgMKBYLMqBLhqNyn3F9B3bK9g3SVUq7x+KdBjdtba2YmRkBG+99Rb8fr+Q6vr6Oubn58UP0mAwoLW1FX6/XwjN6XSWvf75fF7uQUZnfB7eTy6XS9KN561tZbNZIbTt7W2Zuk21rSo+Ok2Nzmg0Yn19/SUSi8fjZe8Hh63qSYz2fxcFimyoWh0aGhKR0llRTYL7kqZp/6oCwf0wgH+gaVr7uVZ6DlSD4B49eiTzn+iynUwmUSgUxBWARMfCMxukaabMn9eDNaGTECJJlDWHRCJRNruKkSCl15lMRvzsTCaTEKDFYpFUKEmQp+DT+MVVA/TcU/v29IIWNdqj+OC4m41N33Nzc1hcXEQikRCDXdbbNjY2JB1I0QNFQg0NDWJuy/odB6WOjo4imUzKFOeNjQ00Nzfj7bffxic/+UmpT6j9gHxUSnEfZ5Gmfx9yuZyse319Hfl8HhaLRdoiOjo65BCxtrYmZsE7OzuSjqXCdHBwEIFAAB6PB9FoFO+//z6mpqaQTqelQV1dL70e2SvGqRjNzc1yEKH0XU/0VqtVrKTUKJCkwU3NbrfDaDTKFI26ujoUCgWpYyWTSYkkaCKeSqVQKBTE7PjGjRtwuVzSZK1pGoLBoLhwNDc3w+v1IhAIYGRkBF1dXWURZiwWK6ud7e3tyd9jt9vLLOl6e3tfMjw4LVh/5sFkd3dX6n2sVXLM1KsIJp/PV4zEYrEYjEajvJ8UeOhJrKWlpaqKcJrGp1Ip2QNJYvwav66/Zr7v+74PXq/3XM9fLYL71wDqAXzugy/lANzRNO3xB99LXPWJ3n/n7/wdhMNhlEolmM1mSRmS0MxmMwwGg5ie1tfXS4REc2FGUHQIKRQK8kZXelSCOkeOhFiJHNvb2xEMBmVjVacQMxJMJpMiiOFJibVA/m0tLS1lERX/hvOm4PTQpyNoKK13aDlO0OJwOCqSciqVkrRVNBqFyWQSdxObzYb9/X1MTU3hwYMHWF1dFS9Pvkc8mHCmHx0yent7MTw8jFKphOfPn4tk/uMf/zg++clPwuv1vrQhqf1Pag+USob6Q5DeIo0Po9GItbU1mbYQjUaRy+XkMMBhlt3d3WhsbITRaJQBkxsbG0IwlJDX19fD7/ejt7e3jECAQ7HE6uoqtre3kclkRKTD9BtTiFQL0x+VYBqZNS7VcaO1tVWcPDwejxz42NIxPT0taTnOLbTZbHKI44GNdb3l5WUxCFetvYaHhzE0NASv1ytZAXV8FAmNJGAymcrIzOVyvSTTP0saLZ/Pl9VSw+GwDEB1uVySWuYkAj2ocq6kUGZkSTQ1NaGlpQV2u12IXFV6ngVHkValj+mnyQctAE0mk4zIYiDAa4a1zy984Qsv1RFPi2oR3HUA3wSwBeC3APw3AP4BgOsfPD521Sd6z87OSuMn04QM79PpNDKZjIT5tPphkzPfSABCSHT6Vl35GVFZLBYZk6M/9ehPQKo9jwreiEdFgjQ6picl+5dUg2c2rJIAGaWSANkeoQpiaAemyqNPIsQ4yUbBWgEjVa5VPUHTeFclZVXQsrOzIwq8XC6HlpYWDA0Nob+/H1arFcFgEFNTU6L6I+FHo1GxaOKBgTcrJf6qW3tzczNu3LiBGzduoK+v71RzrVijVYkvGo2KBJ69geohiActpvtoOtzf34+bN2+KqlEdBTM9PS01LDbo0wuRI43oQ0ihhOqvyEbtYrEoRr2pVErs2thUTI9SikKoXPX7/ejo6JD0I/+Ob3/72/jOd76DmZkZiSb7+vowMjKCuro67OzsYHl5GfF4XIg7k8lgf38fuVxO/pb+/n4MDAygq6sL7e2HCSS+jowcI5GIvIZ6mf6r1KmnuW4pYNne3hbxzav8HNPpdMVI7ODgoOwQRGchfSSmbwA/bq0qabFXjQcuNW3POqlKVvyXBKUSFYMBPpjZUl9X7in8Pv995513zn2ArlqbQCAQGATwtwB8D4B2HE4T+PcA/vZHeZoA04/pdLqsWK/WyygaYbRE9SSJkCcakp+6SVNFyRuOkZVKGvl8/qUTlcFgwN7e3kvkWEnezpQQH4wILRZL2Rqz2Sz29/eFAKl249/Fv40EyH+pojwqCmSt8KwF5VQqVXHkEK9fk8n0kkNLU1MTNjc3MTc3h2AwCIPBgO7ubgwNDaG7uxuJREJqeblcDh0dHRgbG0N7eztisRhevHgBTdMwOzsrdblUKoW6ujqYzWZp5O7o6EBPTw/cbjeGhoZw7do19PT0HGt7lM1m5TqqNMtMFTTxdabFUywWQzAYxOrqqghv0um01O0aGxtRKpWECPx+P/r6+mCz2VAsFrG5uSlqRSoTnU4nuru7ZdNUNx1GlzTGVjfE+vp6aVZmdFZJCLG/v4+1tTU8evQIMzMz2NvbQ319PUZHR3Hv3j20tbVhfn4eDx8+lOhPzR4w3ebxeNDb2yvPxR451s3C4bAcBqsl06+0JxSLRfFzZG/eUX6ORqNRojG9WlFND9fV1R0p8OBhlu8rH5UEPLu7u2U2YNwX9JEWoScn9XMK2ngPq+RE0tL/H/3vUTNdBMs+59kTiFqj9wnxjW98Qy5Sbv7q0FH180pphWQyKSdaqs3UehlPR7zYON0b+PAio1UQLypu2OzhUR/t7e3I5/MvESILuapAoNLjqHaI+vr6MhLk72WtijdWPB4va4tQCZ5DG9VIkNMG1DYCvSHsaQrcFLTo2xfUaJeCFkZooVBIFJcDAwMYGhpCY2Mj5ufnMT09jYODAzQ1NeHOnTvwer3iyh6NRiUievToEaanp8VVhe0LlImz/4fuKRzKyfeb0RvB91ltVqdiLR6Py+wwzhwLhULy/jKdrm70/LrD4ZCmdSom+Z43NDRIywRl+IzAOCWip6cHDodDRhfRlJdRCUmm0iQFGmlzoOjS0hKCwSBMJpO87t3d3VhdXcWTJ0+wsrKCTCYDk8kkTiZMvdFlxOPxoFgsSnTGflWgXKZPUjuPTF8F7a9e5efY0tIitUeVxFivJLHwUKBmWkgIPMiqdV2Kpng/c1ZcLpd7yTXFZDKVzZHjfqV+rFeDU0jHQcvqv1x3sVgse6hfI1nxa+q/lb6uHsA/97nPobOz81zvT7VSlP8BwJc1TZup8L1hAL+kadpnzrzKc6IaBPfs2TMxiWVEpJ+VRKg1LD0J8oLi1xoaGkQByJOc+rE6SJAOIKpjBCMGq9UqGxCJQn3/GKVVurArXeh1dXVlqVBGgpXSpbyZVRgMBvmd9JYEIIIcNQ3HVJsqimFvoEqErGNSZKJOA+bjVSQYj8fLIr29vT3ZCIvFovxdyWRSZPkTExPo6+vD9vY2pqampLmdUnL9ZpnP57G4uIhHjx7hO9/5jnggAh8ejmhSrc70IpGzDtPR0SF/E+suat2Gbi3cLNS5YHSDSKVS4jlI93qz2SxRLiMtu92O7u5ucdDQ3/v6HjkKL8xms8zDu3nzJsbHx196PUiwJOJQKCSeoplMBmazWf7euro6LC4uYn19HXt7e6irq0NLS4uQJdOkjAQ5FV4v01ejs/PK9PUolUri57i7u4u5ubmyQyFrkBQbcS5jPp8XP1LWnXhA1Kd7SVQUtHH0lfqzvNb5e9QIig8OS6aPZalUqqp6mnuQSn5cm54Q9T+r/nwlEh0fHz9yjz0pqkVwRRzW2e5X+N5dAN/RNO2NTYCsBsH95m/+Jg4ODoQompqaJBTnzaOOi+GFqiqFKr2enH5biQh5gmLKIZvNivSa9QOVeDiCgxZBdXV1ksogAfI0zTlulVSdAEQ4QBLWE7N6CjSZTMjlchWVUvqaYaUUqcFggNVqlQ2CkSD/TyKRkFMehy3m8/kyVSjFN2p/oBoFHtcekcvlXhouS1UbU3w2mw0DAwO4fv06fD4fFhYWsLGxgWKxKMpKdTo4VYI82f/BH/wBvv3tb0uKjQTHOiZT0YzGqYxljZevHTctNV3FyIQbHjeYYDCISCSClpYW9PX1YXh4WFwvmDrn/D+73Y6GhgYxqu7u7kYqlZI5e6urqxIBM/3K95LXJFPtTK3z+k2lUjAYDHK/sF8ROKy5kdi2trZkBpvZbBa3/a6uLvldVDhy6gQAeb+ZzWDvI6MiZhf4MUlDrS/z/lJT7fw3l8uVWU9FIhGJlvSvOe+vYrEom7XJZJL3m/V4pv35GqrzGPl71L1AnynS35OViEP/MVWxlb6nPn8lsqn0df78RYDtPZciRfkBwb2tadr7uq/XA/irAP6ypmnd51jnuVANgvv7f//vC6HwBlGHgvKNV998fejPVKP+4uH/p9kr5emVLh7W6kgsvHF5OmSEks1mZXPUj6ih1JmjWujqwOZXErL6OA0hHvVoaGiQDVVPiPqaoT5Fyo2HJ1BuVFwX+wG5cahmvWoUqLYc0ChbFcSwnlQqlST1tLCwgBcvXmBpaQmpVAp2u12mNGezWZHgNzU1wePxoL6+XgiJZMb3a3t7W/q4WK9S1ZM8jXNNKpFxArvJZCpr+2DUzjQvidpms0nNb35+Xnwv29ra0N/fD5/PJ7Wzra0tLC4u4vnz5+LkQcUda8AkUtU9hIrQWCwmLRnr6+uIRCIS2TNKUcfGMD3MgbxUrlK1Sw9KqlhVgwCmyCms4T2gV+qpYgj1+7y3eM9V+pjiGmYZeL8DKOs35TQB9f5Wh5ZSUME9gfuBzWYT4mLrhHoQs1qtVSeP1+FuxNe90kPt79UriHkY5r+FQgFf+tKXcOPGjXOt58wEFwgE/haAnz3h8/y/NU37f55ybVVDNQgumUyirq4O+/v7QkKc/cQ3Rn2j1KhF3YS5ER8FbnC8IRghquSppifYJ6QSLCMDEgdH0aj5e5VI2YxMOTV9Bjk6Q1Uh8vfwb1EJUf38JISopkXb2tqk/sVNm9cflZ5H1Qu5ofE0zpM515vNZpFOp+V1V0/OahTI5+VIFNYCSXwNDQ1YXFzE9PQ0Zmdnsbe3J+8n61jFYhFWq1XSYxRlqFF4PB7H5uampC1NJpMINPj7uBlyhAnFCYzyaFDMzSIcDmNpaQlbW1si9DEYDNKEzXlp9F3k38vZZRxRUigUpE5aKBTkfaLVWltbW5nVGYVUNC5miwxHLG1tbcnrpLrxsI+UJMjN3mw2C9Gr7RFqGpdEfxRBMZpXn0//HjOiohAjGAxibW1NUqjMGgAfWoKp9W6VnJiFUcVZR338us0VVNhsNjl4qIdi9SBwFDG96me5/1WKgNWvVeIUvl9qScdms+FP/Ik/gba2tnP9zechuLcA3ANgAPC/Afi7OLTpUpEFMKNp2n861yrPiWqlKJmSUGs+qrnqScQQlP+rslu1UKwWjJPJpBAFT7/qKZSnJT3hAZC0oUoS6smVkQ5FJyQlXsBMSZD8uMHSKqm/v1/UgMfdtMcRovpgPeVVESI3LdYV+PxqCpObtPpaplIpHBwcyN+ppqeYomJ9RI2KeXPy93LT4yahppiowmP6C0CZqoyvp3ozc+p6R0cHRkdHUSqVRAG5vb0t7z03WQqLGHE3NjbKwYpKO3XsCydcsL54cHBQdnJW+/rouu/3+8UwORQKiQ8kSZDvt9lsluuSBy3gw4Gm2WxWhrw2NTVhf39fnDny+bwQLwm3ubkZHR0d8l6bTCa53tVDHoeNMrrlgwTU0NBQ1mPK1gjVCIFCFF4f6nooDGE7g8PheEldzI9dLtdLHqlngZo6fRWh8PPT/iwPNKdZE/cJfYTMET98Hu4XagZLVYWzXs5/+f6xJlwJl8mq688A+NeapoXPtZoLQjUIbmNjQ07K6qDCSgIL9Y1V/1U/Pm3Ru1AoyGbMTVqNlPRDE6nuUwmRH/PGUC9eXqjcnFWyVU9g3MQ4kJQ1ADqGs5eP7v/ciHnqBvBSWpaCFEYvavM5jalJQvrHUdcoG7VZ/6DPJTdnpjr5Nx8cHJT1/7H9QSUxHhC42fKm5veYNiTxkig5nYDRF18fRsz0RDSbzbh58ybu3LkDm82GRCKB58+f4+nTp3jy5ImYSvPAYbVaJYriwctms6Gvrw+BQAADAwMSyc/OzkqNi+0ijGIAyEFDvV54jfKaUFsA+FowsqGikgcYkoXJZJIUZiqVEkPgnp4euFwuSbMzauWhUW125rWsuvVEo9GyyFPNoPDv4GFFvc74ntFTlu40g4OD6Ovrg8fjealOe1zazWKxiCXcWchHPVidFszu8Ho87nOTyYTm5mZJ86v3u/rgwS+dTlcUePBeVVuKKn18lJr8NLg0BHfZUQ2C0zStzJlEVe3pyUWV8LIHjjcxbzqe5PU1Kqbs9JGJSkaV5Ll6aW5DQ4M8NzcvkpQawagRip7AVOk/Nz69cIa/S61HAhB1p9rvov6t6vcoigFQRhC8MVXrM/VjvkZ8nQCU/cs18z2hQlXtT2Q6mX83BS+qOEX14uPmQZEP3SN40IjH42WpX6ZcSXSNjYdDNJubmyUFzQ2Ym3ZTUxOuXbsmfXd2ux2FQgGLi4t4//338c1vfhObm5sinefoF5/Ph8bGRlmbGv2pfV+dnZ2w2Wwv9SQBkHQde8dI9mpdmTUjijkovGDfHOe/qWOjnE4nxsbGMDExgf7+fjQ3N5elnTm0NhwOixMJr0u6pDDdqzYlM8pW7zGSb6FQKFM8M8LgRkxVLq8pRtiquvFV5MMoXI/Tks9pv8cDlgq1BUjNAvG1KpVKZcOMVfBwofrjquItVaGp34dU8Y76vaM+52uqRoX631cqlfBH/sgfkQb9s6Kajd5fBPDjAIYBvOSXpGlax1kWWA1Ug+B+8Rd/UWyK1NCdJ3p1o1AvQm7GFESopFKp+VsF/z8vNLVvTG0zqCTBbWpqQiaTOVZVpX7Or6npOZ4w+eDn3HhUcqRYgL1nVJ1RlKPWvPh3sa+Pmxc3UFV9pl9rpdoLU62q8wJJjUIbtjPo0ylMjaljPkg63FBYa+XmQVAsoYpVuAEHg0GsrKwgGAxKLZIbM68hdXqC+rqrKlHVEk0V5LAmRXJgitJqtaKrqws9PT3o7OwUYqaIhZEtraccDgeAQ4eP1dVVGQTKa0d1xaDSslAoYGpqCg8fPsTy8rL8fbz+1VSfz+fDtWvX4PF4pEeSG7Ca5lVrfozW2SbDqJHvHVOEfO35uvOQxhIA8OFEepIyBTqVIhhVDKKm59UaoCr8sdvtcDqdErEeRz4nQaVNn8IMZo0YpdLJRq3/6w+9zFKQmJqamuR90q/XaDSWPWc1oOoI1H1H/VzfZ6f+zN27d8+9hmqlKH8EwD8C8CsAfuKDj+sA/CCAfQC/qmnaf3/OtZ4Z1SC4//Sf/lPZCV1fRGVkxNO7fhOmHFxNVaqpS6ZFVEGK+i9PovydBKMffRqUqR3WCi6yuE2CUR+M7liPofceZ+SpPX0URQAfkjpz9YzS1HSOXkyiNo2qNycFD0yfUA1IlR4FAkzDUoGqd77X1xnoUcnXVK3d6UUPAMrERWqtjr+T443YiMu+SK6F6SJG/rxe+Bxs5ua1SKLzer0YHx/H937v98Lj8YjJ9PLysriwbG1tiUqQDd4ulwt9fX1CgCaTSbw8NU3D+vq6XIuMcE0mkxARBT1qHZe1NrvdLu8HN1oeUljj5t/ATZjkxJRyPp+X14Q1TKPRKM3fLpdLmr/dbndZO08l8iHh6cf3MDrn56oNGQ+47PnT92yqQhZ9dMKDDO9pNRtSqVWhEngd6XvfWKOmGIf3Pg9LrIvqCeYivnbePefSpCgDgcBjAL8B4OdQPknADuDfAfgNTdP+13Ot9Ojn/jKAvw7AA+AFgL+qF7VUg+B+4Rd+AfF4vIxQ1NMdC6a8oHgT6FWWavpAD6ZP9ESoFrgBlNXI9KlR1lfU1EldXd1LDdF6gr0IWfJxoMntzs4OFhcXsbKyIkMy2djOG15tTmXqk5unSvjcUNQIkVJyVQyjnlh5imckypuVqTi+r+x7ZASRzWbLnpvtD4zU+Pt46GGqlGIHEjMAORA1NDSgpaUFRqMR0WgU29vbEk2xGdtsNks0qj9pkyjUNhZ+Xc0C8LVj5oFilbq6OiFSXqPqNAqe/jkvz+fzoa6uTqKHxsZGEam0t7cjnU5LVMiJAYTaP8pI0el0is8l2xJaW1uF/MLhsPQm8jpRJ8CrNndMP1qt1rLDj55oeJ+eBPTmVAVKAKQUoNa21Rqgngh4AOJ1yeu4UhtBpfu1qampLNNR6fdXgkoYatSsj/wqlTxO40ai/3qlkspxfYr8/5/73OfgcrlO9N4chWoRXBzA92ua9nuBQCAH4Ps0Tfu9D773xwH8vKZp/nOttPLzfhHArwH4Mg7Nnr8M4L8CMKZp2ip/rhoE92u/9mvY2Ngo64lhJKcWY/X5cp6m9P1WPMGyJUCNUlQyrJQuYIrmqAdweLPv7OyU+c6p/+p/LyOJV4ljjlOIVgJTTZx0TBcOzoSjRVRdXZ28lkylMWXKky6JiBuLGh3rCU2v6NKnCNXfofqAqgMcWS9UVV8UJrC/TV8nUQv4egJlTYyiErrrM83IiIEpP1WcwxoqFYR8n7n587nUCIBRgNoWAXyYOqIalQcDNfWu/iyfs7OzUxraM5mMzFNjXdFisUiWgw9uWnT+J7Ez+mN6uFQqlaVySSaqgpWCIfbmMRJvaGhAsfjhJHj1muJgXTqacDbeUeRwVGSitqGoJQaj0SjDclWhi6p+ZvSuCpHUfUI9SKmRF69po9FYRppnJRSz2VzW/lBt6EsgqhCr0tf5sQpVGPTuu++ee03HEdxpZH5RAHSP3QAwCuD3PvjcAMBZ4f9UA/81gF/RNO0ffvD5XwoEAp8D8BcA/I1qPtGXvvQl2O12RCKRlxz2mfNXm3ZVoUkqlcLm5maZmKPSRcaLXl/sZUTCC4LPS0PhSr+L7Qoq8bERWFU4ceNRSTUSicisMaD8tKeKRtQoSN3U1NoJay3cPPl38u/jad3hcJQ1watilkqnXm4OajSj9r5RWMAoijcNjZbV/jaTySSvA2sdLMarD5V8mW7U37hMEanCIaZa1Qc357a2NszOzoq6kbUv9p2pEVEqlcLMzIyM/HE4HMjnD5utqTKkcpbXjHqA0rc7sJ6oVxiq6SX1PQ6Hw3j8+LEQFAlHVdGxLqbKwNUaHvvcaCSdSCTE0NnhcKC5uVnG+ZAg1Ib2pqYmUcPStEC1bGPkwwZ82pQxW8DXjc3+bMqvZEfHB4lXFYkxBcsIke+9en9QyKPK4GlVp0aCnORxVJ+sGtnxXx7A1MMyD9WVJPusy7NeWKm2rf86sxLqHqPW99Tv6dXYRylI1WuQ3zuKcFdXV+Hz+U6+SZ8SpyG4BwBuAvgdAP8KwM8GAoE8DvvgfhbAe9Ve3AcuKXcA6FOfvwvgnWo/H0ESOsmUaT3UOh3Nl5nzV4vIjLQODg7EKuqoXDzwYdqOF7jReGgnpu/rUr/PDU0vilFVfZSGc1wLU0JcoyorB1BWo2LU43K54HQ6yxrInU4njEaj/F6euHd3d+VGMRqN6OzsLNu8WPvijZHNZsU9nxJ/pvTYQsC/hRtkPn/YUB0KhcpO8iQept94sFBFCfxbDQZD2Zgkvj9qlKgKddTUp8FgkAORSsJcK9OIhUJBBpU+f/5c2gusVisKhQLC4TAWFxclXcuNy+l0IhAIwOfzwefzyQZMV3tagAWDQekLVN8/poO5Fpr8Mk1JYmG0ysiLDePBYFDEOyR6bsb8Gq+5fD4v4484u43/l9ZlbW1tZbW3g4ODMoGI2r6iHoTU/kMeSHiIoVN/Pp9/6RCoZgO49ra2tjK7LH10X4k0Thq9VCKafP7D6SBqC5D64LVIBauqylbrgSRePq9avzyOiI4jnleB7y//PlUNTaHPSdSlw8PD5x4mexxOQ3B/B0DvBx//7Acf/yIAI4D3AfxkdZcG4HAkjxFAUPf1IIDvVb9gtVpfCoXPAqPRCLvdfu7f8yow7aS6AKgKRUrcGSWpgggqFyudBo/KuwOQ1JpaO9CLWRidNDY2oqurS/q5GBFxs83lcmURLOtJDx8+LGus5s1tNpvLIiqmakgC4fBheyV/r6oe4/qNxsORKSRF1ivV0zLJiOlgkpW6AdL5Q03FclPj30m/Q/7NajSsn9LA12FtbU2GjFKEQWIxGo3iWqJuRIwa+f5ubW3JzU8yzeVyaG5uxsDAAEZGRtDS0oJMJoODgwMsLS2VWU0Bh2IIv9+PmzdvihmzpmlYWloSJxM14uPBiopROnnoFX9qRoNqSfpN6jd6ghtgY2OjzBEkoZLMCoWCjFlir2SlXjK9GEv9vkp6bJdgdMX0H9OwnPbt8Xjg9XrR0dFRFpnp9xFGuOo9dBR5qA9GMif9eT74HvJARdWomk3KZDJHliCYNVHvNUbZPLjoiYZfq5SSr0RS1QKvj4vCufrgAoFAA4AGTdNi1VtS2e/vwmE69LtUUckHFmL/haZpI/zaRc6DU6ESk96stdLHqtxe/Z5a09P3v6kP/cmPP89NiWkvVRVGSbl+DWoKUX3fVTWo/qGvWfCUpq6Jv0tN4ak+fUypACjbjNTIhpspowpK0B0OB5xOJ1pbWyXtqopRCK5XjTjUVDI/5loZcbG/Tq1tsXbHTVSNEvW1OI5H4ombkwNIvowWvV6vyO/5XDzMbG5uIhgMyugdRrdq6pMWSUxl6SP0SpZRTFHSSNrr9aKzsxP7+/uYnp4WtxG1/qimJini4JRrCkaAw4NINBrF1taWCEzU14GEokZ0qmpSX79kpKXW09i/pqZIVX9HrsloNArhqobJvCfU9LZaQmDakeIeepRSpMPrjIIjXmf6Wt5JFIeVsihH9b5V+rfS91VBDIm/VCqJDZl6vRPMvFSaHn/WGvx5cGlUlMchEAh8N4Cf0TTt8+f+ZeW/tx5AEodk9i+Ur/8CgOuapn2aX6sGwS0sLEg0oirk1FO7errU56P1qi3eIEz76HPd+toabyr+Dn19SD1B8/+pz0exgForUB1XuFkytaNX5Km2PEyx6vvM9LJ9brDcKPT9gqr/YH19vUR2PIGqRXnVfV8dkqimH/VjQtTPiUqvnRoBMDpkFEy1JJ/LaDRKRoDPQZLmYYIRNgmnp6cHfX19sFqtSCaTaGhowODgIMbGxtDc3AyDwYCDgwPs7u5ieXkZCwsLMkmAooqOjg5p3qdZcz5/OO+vtbUVuVwOW1tbki7j66qSBqNrpiXr6+tFcci0WKlUkv4ui8Uizj35fL7MFosRIdOKTD9RLcpDmjrqqL6+XtLDTJlyHiKvGTUi4iGJAg+1dk2CZE2K1wgfzDQwta0KangNMv2czWZfmq1GFS/JAUBZuwMPVy6XS76vr1Pp61v6z1VCVCNEtZ/2JB/zc/XrlYhIJQwqZfWT49XPeZhT9yA96enJUL3Xzos3TnCBQKAVwOcA9ABYAvAVTdNyH3zvPwfw3wC4DWBWjaiqhUAg8B6AJ5qm/YTytVkA/1LTNBGZVIPgvvzlL2NnZ6cshQd8qOTTPyp9HYBshvycP0ulVqWIjREWNwJ9xz9/j3qhUzyhP32qp2YAZVEbibAS1LQjHzwVMqpQHQ+4qep9NVU7JZWQSfLckNW+QX39Ro0CqZBU++PU61Z1jiHB6h1j2OxdyW+QCj31NEwyYTRA1w9GdZytNjg4iPb2dszOzmJ5eRnFYhEulwtdXV1yWEkkEkIiqVRK6jrq5HH+Xew9SyaT2NjYkOiIbiUej0dGy7S2tmJiYgK3b9+Gy+XCs2fP8Pz5c+zv78NsNsPtdqOurg5zc3NYXV1FMpmUE7zJZJL1kLAY/VDUo4pX1IMcUG5QQNcaNZpUnfM5zUA9VFDpR5JU7yXWUNm7qB7e1H95KFEPWiaTqcwomdcXU+2sczocDlitVsnI5PN5qVtubGyUTQanbZrX60Vvb68013Men3oo1P9b6ePjfkbN7LwKzHaoBMiDiZ4o1Z9Rvw6gTFBXqRaor9PxGmJKvxIhnjQKfKMEFwgEbuBQ0OFWvvwIwA8D+KcAPgZgCsD/DOCfa5pWdW3qB20C/xiH7QF/AODPA/hzAK5pmrbCn6sGwf3dv/t3ZfT8UQokPbExf8yTYqWIqFJ6Ur3YgQ9JSJ+SsFqt0jir75txOBxlda5Ka9WfIvk1SvvVB2tXVGOpIgCqM/XPkclkxNiWrQGqAIOnP9Y2WWti4Zwz2iiG0G8E6klfTf+o6Rr9yBL+q6bIuAmrcm3W2piKa21tRV1dHba3txGNRjE9PS3u/alUCvX19dIkzckIm5ub2Nvbg9lslq+n02lsbGzI38c6KddDcKNW2x4AiMqSbiR2ux3FYlE2XgBwuVyimEskElJvamtrQ1dXF3K5HFZWVrC7uwsAYuFVV1cnhw9uahQV8YS/s7Mjg1LViEqfhtNHJnyteX2oc+0YCXHKOWtMqVRKRhbxYFEqlUTsYTAc2puxL45kx9dML0pixoXrVlso9KntSg73vEasVqtEfZlMRqaoFwoFUcjSk5VT3Nl+wkdjY+Op9yDW+F5Fkkf9azKZxGCBP1+pDeko6KNLpuL5e/QlGGZi9GlZ+tayfk9C5MGSv9fj8bxRgvsqDm25/ksAT3AoLPnfAUzgsGXgpzRN+7Vzre4E+KDR+2dw2Oj9HMBf0zTt99WfqQbBfeMb35AbX08SasFfTReqD5XgSGRqLp9Rhqri4kWgWgOp1knHFWBPevpJJpMi2eaDNkcApAGXZOZ0Oss2YiKdTguJVfo9HD+jpkMp56fNFAlQrxplGompL72SUhXjqMSnRpcq8arNtepzqBueGhWqfXhq6omChIGBAfT29sLpdMJkMuHFixeYnJzE/v6+/G417cNIXU1JqalYphKpeFMVsHTNZ3SnenvG43EsLi5iYWEBsVhM6n5utxsejwfNzc3Ss2UymWQcEACpc6mvFV8/Na3J1F9HR4f4ErKmydeO722hUCiL3rkeNVXKOiDfb17TPLQxHchULu8hNr/z51pbW1EoFKTOzMMd7xuj0SjPoe8R1Pcrql/n+6+SuRqBcDM2Go2S5lXNqNWIRj9+ifcV/z4+1LaCakK/J5Cc9HtVJa9a/ef6+07fTqPeR+rv0OsRKkXpvEe//OUv49Of/vRRf86JcB6C2wLwVzRN+3XlawMA5gD8hKZpv3yulVUR1SA4qhM5YkMd2McbR01lqa+dmpNXLXXUPh7VEYVpRbVwf1pUIrhEIiGjQ+jMrspw2UCrElqlnHomkxES29nZEZd6XrSVmq5JFpXQ0NAAh8MhEnT15MyTHdNKr0pvkIyi0ag4z7OhnK0ObDhWDyQUseitxlTFKX9GdUwBIL+Hm7XaI6cX76hiFKbymAol6dKOi+IPj8cj5KmaOh8cHJSp6dgHp9aO1Lqo3W7H4OCgTCWnqo7/ms1maV+hTRhwSDodHR3weDwyJFd9Hw4ODqR2GA6HZbqBwXDoA8nUIEmG14HdbhfBiNlslutoeXlZrlF1xpgqouBrz/eFhKqP4nkQcbvd6O3tFaJX04E8aFF4QaEW0+fqYUi9ZngtqG0HJGDVL1K1WgNQlhoEPmzz4d7Q1NQkqdL29na4XC6JACu5sqgli0qf82t8f1UCqgb0ohn10E6ofXMsw6jOP/rxWblcDj/2Yz+G4eHhc63tPARXBPAxTdPuK18z4tCq66Xp3m8S1SC4X//1X5e+E7VWpdbMSqWSXKS8yfTkpX5czYKsHgaDAcvLy0JETPPwe5XIjCdHnrzpsLG9vS0WSeFwWIQ2zOfrC81qz4ua4lEfarM4cKhG4zDZo3pz9P8e97NqilcP1ZWCasVIJCK9WOomwUibqS/aJFGJqvYzqoIUgtcB08mqm01dXZ3UNtXoUCVQXl91dXUv1SBtNhsKhQJCoZCoHjm+RlVxss+SriNDQ0P4wR/8QVy/fl1aUEKhEMLhsDwXpw50dnbC5XKdWK4diUSwsLCA5eVlcWbhRs4GfUZUxWJRBqWazWZ0dnZieHhYGsWB8gxDMBhEMBiU1C43Qqag1WiSKklVBFYoFOS9YGqda2EKVd8nqhcjUUnK2iPThsCHe4EavfB643VCMZpe/MUatFr309fYKVridAVGroxymfrj3qJPDdrtdhEhqfXKk6o9j1KIHmUNdl686RpcEToiUwjujqZpj8+1siqiGgT3ta99rWwDAD70eKwUhdEg9nWAdQoSGWsrrJuxHsCN1WKxlKUHGfVwo+M0ALYU8LTFtCld99l4rNYGVUHNaYjnqLEjKvQn+Ff141T6mBsm64KMyrjZUVJORSHdQqLRKFZWVrC1tSWekpRc53K5stqPOiDW6XTCbrcjk8mUzTFTLd9UFxFudtyw1dQNNxLWdClqsVgsEmGRNJgCdTqd8Hg8iMVimJubw9TUlPzdVqsV3d3dogjs6uqC3++H3+8XH8izHsRKpRK2t7cxPz+PpaUl2djZw8eTPA8MJGSmLmmOTXst4MNojQ3+nAfHOjFrdGxDqK+vL4vG4vE4gsGgZF8YnalRLFCuPuZ1VylCITEyRcm/m2lntearGjCrzf5M3zK6p7KV5QiqHVV1L+uhar8bI38+2NvGemBTU5OklXn/MjX6pieNH4XLQHD7APS7VXulr1/1cTnT09NyYiGR2Wy213ZhMA2zv78vvo6UW6tpHEZGVqtVTpiV/PBIcGpBmHULKiLVMTKtra0Va2/Ah1HKq4jmOOJpaWmR2tBRJHaW1zqZTGJ7exubm5vyWgFAU1MTurq60NzcjFQqhcXFRWxvb5elqVKplLirMN1HAqRdFpus+/r6JKWbyWTEOotRb6UeMLVpnAIMtWWED7UWSOcP1c2fxE1bs6amJhGOUGRD0s7nDy23NjY2sLe3B+AwNd3T0wO73V7WB0bSVVs69MMt9X2PKjkTpVJJ1KZ7e3tC3Gbzh1MQAIgEnxE2jZSNRqOQcHt7uwiT9JEFlX6q3F21emP/JGuee3t7CAaD0nLByNXr9cLr9Qq50wFFJRb1cEI7Ou6XjPL0VlZq24ua6eHXmU5m2YDky9o3071839mMT9cjPnh44jXLfYD/VyVClk2YWdCPBKL1GvcBRrqvY9970wT3t07zRJqm/Xen+flq4iIbvc+TPqv0s7zAU6mU2E9RSag2pjLdovobqk7xTIExpcF8t1p3IHHQSYI3ktPpFM+/SmRTDeI5yWt7FuRyOQSDQSG0SCQC4DA9RnWhyWTC+vo6Zmdnsb6+Lj+jNskyalUL7ox4rVYr3G43BgcHxVGf0UUsFpNTNiMWqlrb29tlk1Kl8Xy/Wb9TN0W+b/v7+4hEIuLN2NTUhHw+j729PRnpw5aJSj2R3MhY9+XwVqb8SqUSWlpapE5FqzdukqpJtep0o7ZesO2CKTRGZ+rDZDIJSfOQwPVQ9ZjNZtHY2Aiv1yt/J9WrvFa8Xi+6urrg8XiOFWVks9myWiydgFQFrtVqRTQaFc9K9n9RFdvb2wu32y2GzbTnYrqP/4fRmGquwHtWVTOqwhW1FqimNvk9tReT7T88GLHZXY0Q1WuYUOttPLCpYhDVTIGHC/X6U1uiWD9UFdv6aQecG6i2Kai/X/07Kx0A+LzvvPPOubNgtYneJ8Q3v/lNOcGpJHWS14gXVCWVEcmNN4XqQM4cPfPnNODljaYqslSLK948a2trMp6FFzitiliDIJm9aZyW4FTCJqHR9YMbDdWFJtPh0NKNjQ1sbm5iZ2dH6pE8yariAv5enrb5HttsNng8HvT19ZWZTav2YcCH41+YBqLz/0nA64Gktrm5id3dXUkp0khYNVVmnZMtLMCHKkReFzTA3t/fFxLmpprNZhGJRKRORwPsvr4+9Pf3w+12v2TTxYOYfhSUakSgvr7qgYikWCgURExCWy9GWEajEclkUuraTPc2NDTI3D7gUM7v8XjQ09OD/v5+tLW1vfI1ZhpXJT5aqPF1pyiJBwf6qvI14H3o9/tls9c/BzdxdcqAfsq2+jVG2Wr5gAcfRmb8mr7mr5qQq721amqbhxaVaHi9cq9Ra3MUPvF+U2uEepJWU7r8nerBWG3JYf2YhKg/BJEYP/3pT597b6oR3Anx6NEjOX0xD8+bmSewoxxGWOfhxcaUh+rcwVQQ6ykulwudnZ3o6uqC2+2ueEpl6kcvzy8UCmLHxIiMpMYBjWdFJXUW/yUpHKfkqvS1YrGI+vr6svEq6u/S/1/2Y3F4KgkN+NBthFGSal7N1JHeV1BNrTFVw/Qea1xerxfDw8OwWq3IZDJCPGxxaGpqEpWhatZ80gI+11AsFrG6uorp6WkEg0GYzWYMDg6ira0Na2trmJ2dxe7ubllfH6M6Nk6zLkSwvslokn1xJGdGVCsrK3j27BmCwaCoBDmjjio+vYGyusGqET7fP/VeYBSpT/UznU4VaCQSQbFYlCgznU4jFApJKwLFFPweLelKpZL0oVE4xUMO7y99HVdVXNKpiDW9SCQifX9q6wGjFtZbs9msfMy/x2aznViYo7+/1CzLUQ/WIFlPJMmoFnpqHZBfV80U1JYQ4ENXJX6smj9QNEZyYo25s7NTUuxms1nGKDEYUCd0qP6bag+e6i7DVim73Y4f+ZEfQUfH+SpbNYI7IR4/fix2SkzbVIK+QVTNhXOz5cVH13TekExh6VN+3PBZf6NAIhwOl6nv1I3I4/HIBXRSolE/VhViKuFUA+rpkqfFpqYmSenxpuPNsru7K9ZOtLDiyZo3HmtZBoNBGoSZHgIg6kI1QqBIqKmpCT09Pejt7UVHRwdCoRA0TUM2m4XP50NPTw9SqRQ2NjYQCoUk+qBzCGt550Emk8Hc3BxmZmYQj8dht9sxNDSEVCqFx48fY21tDclkEq2trXC73SIe4SajP+mS3Cn1DwaD8rnqSKEKPhgVh8NhsQtjDQeAOL4wzcv/o98ouSmyDsWv8VDI64l1YzVdWF9fXxZFk2Q5id1kMiEajcphiF6RJHESFNNsvD70lm28DlUCUDdalbSZKqTilhkR9tnxUMTfxedT59Y5nU6ZfK6vWar9X/rv6b+mf525r9DZhlkMRlhqGYGHSIrKKCBThXN8TpUQ1dYEEhNr92qpRHXhYXsD7xG1b7JQKIjIRm3fYQ2R9/cXv/hFjI2Nneu+qhHcCfEf/sN/kAtCfyPwpJRMJqVWQtk5b2i1ZYCbKm2gKhEN33xu1NyMgA894dTfxc2dqKRKPEkUof8ZXuynlRCr/1eVIwMou8GSyaT0O7Eetre3JzUXpmyAD9OrTEnRfaNYLCIcDmN2dlY2crZCeL1etLa2wmw2C0kz3cs6TldXF0wmE6anp/HixQvE43GxcKK0m4pK1t5omKyvK6g1tErf0z9isRiWlpawurqKfD4v0VUwGMTy8jLS6TTq6+vR0dGB3t5eOByOsiGfRz14rRx1LQAfOmPoG3iZftzc3BQLMjUlzBQjG/ZJELxOeMhTpepsFVBfI7WWy+ufog0SqzqVgqRC4rBYLPL/WOfs7e1Fd3e3pGU5Qonrcrvd6OjogNPplEOUasxQqbm50lSOUCgkTjVsdWAbiVoLp1cqRRtut1vGRnk8Hun/rCby+bzMwuOA4WKxKNE91ZONjY0SCeoVqSRCfZ2MaXE+eA+or5la/yVxUnHK1GRra6uQoMvlgsPhkKCAUf7NmzfLzCLOghrBnRD/8l/+S4nG2NeiqrWYIgEg6SJVjcShhJXIgkoohvSceUVSYO2NQhBu2McRTWtrq0SL/NpFgnUDvaSZD3UgJxV/aj2BGxuVaRQqdHZ2wufzYWBgQAbOUj26vr6O7e1tiappTEyJO3AYGfEAYrfbxVzYZrNJLWl1dRVzc3OIRqMizOHpXbXqYpr4JC0Nr8L+/j62trawu7srXpLFYlHSbSaTCR6PB0NDQ/D7/RIhqKf+Sif+StFAU1NT2Rigkz4ooHj//fexsbEhmxY3ddV8l7UTfe2Ih0CmR3koY92Kfo10/1BfWx4mGans7u5KPyabxZkqZc8mswD19fViAeZwOFBXVye1LCoK29vb4fV60dPTg66uLkm18f1XoQo+VCKsq6vD/Pw8VlZWsLa2hv39faRSKTnUcfOnWwsjIrWpu729vUwlqs6l0/+rNxM/6b25s7ODWCyGxcVFhMNhibKP63dkBoVR61FEqDqSAB/W39SIT+/yxAOYumeq5u92ux0/+qM/itHR0bPfZKgR3Inx+PFjbGxsYHt7G/F4vKz5VxV+0JlBPeGoYMSi1s3UBmyG96qND2szJ1EgMWqwWq0is9Z/T38iqxR98KH2yakTjtloq5ciq/PeVMsj4EOVIk/twIfNsezFIaEwnUNJfigUkmiKDh5MQanWVfydTBWpzeyqpD2RSGBqagqzs7M4ODhAU1MT3G43uru70dHRIVPGVVLg4cRut0vt7STpJD6KxSJmZmbw/vvvY3NzE5lMRsxnqSjs6OjAnTt3cOfOnaqJf86rUC2VSpibm8OjR48kTVpXd+jLGYlERFTDOqTH4xG1JNtZ2KNJ1w+CJMmogpssMxKqsIGOIIVCQXoZ2erAqMButyMWi5U1v/M+tdvtMkCVtUeVhCkKYrpbVYWqAgn1ay6XC7lcTiL67e1trK6uYmVlRQ4Vqvfk/v6+vCZMy/FaphiHh2Ie8qxWa8Uoj9Gh6vWpTk5g/ZFfdzqdcjDgAWt7e1tUtEaj8SXCe9XBmIf9g4ODMpUq3YNUQZPenkuvWWCNjtHyT/3UT+ELX/jCma9boMoEFwgExnA4ZbsHwD/SNG07EAgMAghqmnZ+DfgZUQ2C+9Vf/VWkUimpQ9AxgGKOSg8WwJmu5M3NUxxPKzzZ8qbWk85Z8Kooo5J/nCpl5teBD0f1qPUKQp+OU3t8eBKjIICbFE99TCN2dnaiv78f+XwesVgMGxsbWFlZQSQSkZ4eOkfwEMB0T2trq6SOTSaTCHO6u7vL6mK5XA7b29tYWVnB+++/j/n5eeTzeXR1deFjH/sYxsbG0NnZeSIfwNMQRjabxcLCAu7fv4/nz58jFovBZrNJy0IqlYLNZkNvby9GR0fh9/vPJE6o1nqPQzabxeTkJKanp2E2m+H3+5HNZuW9IskzKhkcHER/f39ZpJHP58UdJxgMlhEgXYLYi6h3/adISm2Gz2azko7b29uTdCUbxNWJ70w1kjg4y441SWYTSEpMn7W0tJSl31So95naLlFfXy+mAlxXQ0MDenp6MDg4iM7OTuRyOSEFKoFVgwW1ns9Gfqpy2W9ZKZ2qqrCPWivJkWlktZeOGYSGhga43W50dXWJZRxdiE4DuvWoGS9Gg4wIVW9LliV+4id+4nLU4AKBQBOAf4TDSQJ5HE4Df0vTtEeBQODXAaxqmvbT51rpOVANgvuN3/gN6QuqBDoOqKo9npYoZmBkokYo+nSSWuCtlDLSf0/9v4ygqKrb29uTi52RliqQ4e8i9DO0VJWoeoOrpMvNgOIWVW23t7eHra0tuXGBw5QSi85msxmRSARzc3NSHI/H45JOZL+NKmGmCIc3mcPhkFqa2+0ukzVzYOjGxoasIxgMwmq1IhAI4N1330VfX9+pr4XjCIN9eFtbW9A0DVNTU9jd3UVdXR36+/vR29sLg8GAeDwOo9GIvr4+jIyMwOVynXod1VjvWbC/v4/79+9jc3MTDocD165dw/7+PmZnZ+W0zki9vr4evb29sqkfV2/i6X1tbQ07OztCgCQn1YyAWQB1pBKNECKRiDTCO51OuN1umeSgqm9VBxpGQExj8vmMxkPTg66uLvT19WFgYEAa+jmChmIc3lvqx2yup0CNz8uDGieHc5o5VdXsg6V6lJkTtn84HA709PTA7/ejp6cH7e3tLxkx8Hfx3jWbzdjb23vp6+q9TTJSxR/69hfWz6hSPSqVqo8o1TFdKmiqoI7hSSaTuH379rkPe9UiuP8DwBcA/Gkcjq1JA7j7AcH9WQA/rWna9XOt9ByoBsGxTsKmWlVMsru7W7aB0ESWqcajTItPCjYFH9VHozYKEzytMVV3lBMFCYxqLF7U+uIurX/YZEoyo6MCC9skEtqF0WOwvb0dJpMJ4XAY8/PzWFtbk3qcasvU2dmJUqkk4gB6GdbX18vkbm4KXV1dZf1HqVSqjNDUeWaJRAKNjY0YGRmRGWlnhUoY+oI+Va7b29sAAKfTievXr8PlcmFjYwMHBwdCsMPDw6/Fzq3aBEesrq7i/fffx8HBAfx+PyYmJrC9vY2pqSkRXvCgVCqVxOx5cHAQNpvtxGtlA7166lcb3/ngdWI2m5FOpyWNyVoZG7dbW1thMBhEobu/vy8ZgLa2NmmgjsfjUk6gMTlbcGiG3NnZKSN/KJqg6wjrpvl8XtL6qVQKW1tbWF5exsrKitTbeT81NTWVCYQAyL3JdL1q+pDP56WW53K5ZLju0NCQ3B88VJw288AHsyqqeYL6nrIflwR9HG9QFVupnqhPswYCgTIz+LOgWgQXxuFkgX+i+FGS4L4bwL/SNM1+rpWeA9UguJWVFYRCIdmYCc5GU+tmR1la6cFwXC/M0BMXU4Uq6urqhKRUwuLHLpdLbkZepGz2VYvEajTGOoQ+ImM/kopSqSTy/a2tLQSDQen3Y/2qWCxiZ2cHy8vLEsUVi0Xpo/H7/XIiLhaLmJycxPLysrjRU1yjyvHb29vLenXUJm+SqsVigdvtlv6pYrEIr9eLiYmJc0dKbNydn58XQtNLn+vr69Hd3Q2fz4dMJoOVlRXk83m43W6Mjo6K+8nrwkURHHBI8C9evMCzZ89QKpVw48YNXLt2DcFgEFNTU9jc3JQMBknFYDCgq6sLQ0ND6OnpKTuln2atVKHqiU+9rikk4vd4T3R1daGtrU2mpO/s7EjTN+t2DodD2hMsFgsymQzC4bDMn6O6lBJ8RpZsd2APoSogoYUaa43hcFjIjtkLKizdbrdkZVSn/UwmI+TLQ2UoFBLVMQmSz89Ze8PDw1IPPK62qL/X9UilUpJi5uBfAKL2pbDHarWWCUuO+5cfq/jMZz4Dn8934muxEqpFcAkAP6xp2v9dgeB+EMCvaprWeq6VngPVILivfOUrcqOqzdMsLhOlUknSCa+KuvQnNaBcTXQUebEArqJQKODg4EBIjDUnfVGf6b9KacVXRROxWExOcdvb23JBsibGmsPa2hqCwaD4AHLCdX9/PwYHB+HxeGCxWLCwsIDHjx9jdnZW6i7t7e3w+Xzo7+8XKyY1+uUaKPhhmqmjo0PSlKFQCM+fP0c6nYbX68X4+PiZG0bZgqBGaGwwdjqdsNlssskCgMfjQUtLC/b397G9vQ2j0YiBgQGMjIycyGXjInCRBEfE43E8fPgQS0tLaGpqwt27d+H3+xGJRDA1NYXFxUUUCgWRg3NoqsViQV9fH4aHh8Vk+LxrVYmPjeN0cWHaj4No29ra5P1pb2+H0WjE1tYWlpaWsLKyIvUh9ngxi1AqlSR9x4Gnqk0eXUVo3UXJPWEwGKRdhSIpRkBsCaqvr0dXVxd6e3vh8/mOvT8ZJYbDYaysrGBhYQGrq6vY2toSsY36vM3NzRLRcnIDYTKZXhLTsHyhfo2fFwoF8fTc2tqS9481PBI2I+ejQF9SvlY9PT3Sx3lWVIvgfg/ApqZpP1KB4H4VQLumaeeTw5wD1SA4pjB4cjuOvCoJQ9hw+irielUqM5FIVIzE4vF4WWqAaVE9iTFtchLwpMa0Iy829molEglEIhG5ifgatbe3o7e3F0NDQ+jv75d6W6FQwIsXL/Dw4UPMzMwgGo2ioaEBnZ2duHPnDrq7u+H1etHS0iJrIFFvbGxIig8o9yPs7OxEXV0dNE3D8+fPkUqlzkxsjEz5d+/s7EgEzZTUwMAAotEo5ufnsbW1BZPJhJ6eHpjNZnmdmpqaMDIyUtYz96bwOgiO2N7exnvvvYdIJAKPx4N79+7B4XAglUphdnYWMzMzSKVSEp1ns1lsbGygWCyivb0d4+PjcLvdFzJKqlgs4uDgQKbMz8/PY25uTp6/sbERLpcLPp8PnZ2dsiHTGowzD2nVxciMimim8egmBKDMrLyxsbGsxkbiY71eFXBROcq+Q5vNhu7uboyOjmJ4eBhOp1Pqj6+qUyWTSSwvL2N7exuapoldHYVh9fUfTqNnlElbLzV6rJRJIlRCpFAoHo9L0z37gLu7u9Hd3Y2enh5p5TkKb9RsWUUgEPgkgK8D+CaAfwHgFwH8LQABAH8CwHe9yflw1Yrg9HUuAKJyUsmqEnm9KuxXQSsePYnRG4+gm72exDiF+7QXhyqQ2NzcFL8/tY7AzYG5cYvFgu7ubvj9fgQCAfT19ZWdCFOpFJ4+fYrHjx/L5kYF3sTEBEZHR2UzYY9SJBKRzSIYDB6rkMzn85idncWzZ8+QSqXQ1dUlm+RJUCqVRDLNVCvFQS0tLWVuIUajEXNzc1heXsbOzg5sNhs6OzuRz+exvr6OQqGArq4ujIyMoKen59KMIHmdBAccbs6zs7N4/PgxstksRkZGMDExIaf9paUlTE1NYW9vTyI4s9mMtbU1ScnzgPQqYUo1kEwmMTU1hRcvXsgaOHSW7ikApGeVB1mmOj0eD3w+Hzwej/zMysoKFhcXsbq6Kn17BoNBZP+qzyMAMXdguk5NSbI3lvU6CrucTmdZSpCkW8kAme0HvA4ymQwWFxfFZGBzc1PGKNGyrqOjQxx+fD6fCOP0Ihq9sEb9t1gsSj8d97JMJiPtIS6XSxSiTAUzOhwdHb0cNTgACAQCnwDwcwA+BsAIoATgOwB+RtO0PzjXKs+JahDc6uqqKBVVIjtrLaVYLMoJR09i+jdVHV2hkthx43pOsqkx/cbNnfUkXrRqfwuvhba2Nmm8DgQC6O7uLrtR6fIwMzODx48fY2FhQQQ6w8PDmJiYwPj4+EskGIvFMDs7i83NTekLpELS6/Wio6Oj7HlIbM+fP0cymTwVsUWj0TJC46HFbreXERoFLLFYDDMzM5ifn0c2m5VoLRaLIRwOw2QyYXBwECMjI688lb4JvG6CI9LpNCYnJ6FpGhoaGnDr1i0MDw/LNbu1tYWpqSmsra2hrq5OzJ3X1tawuLiIbDYrwpSBgYHXYgquTieniIWpxMbGRhF6ZDIZmXq+v78vQg+mW0dHR+UQRlcYptYp4W9tbRVRCxWc6sy3ZDIpPXIkO7YUsH+WESWb51n7Y9sR62s8rKnN+SoR0g90dXVV0rMbGxtS4jAajbDZbGhra0NPTw98Ph+6urrEOOGoKLIS+e3u7kqpY2dnR6y5uDbucV/4whcuRw1ORSAQaATgALCvadr56LdKuMhxOa8C/fH0JEbBBcGCsJ7EmpubzySVPWqt0WhUVIbBYFDkyEyzMqXAFgS65w8ODiIQCMDhcLz0O+PxODY2NrCwsIBnz56JgrG5uRnDw8O4ffs2bt68KRJhik/UlA7TeBST6BWShJ7YPB4PxsfH0dnZeeRrEYvFpIa2vb0tBwg6pRzl50hFIA83agPz3t4e7HY7RkdHMTg4eKHT2c+LN0VwxN7eHu7fv4/t7W04nU7cu3ev7CASi8UwPT2Nubk5cY8ZHh5GqVSSNDAAeL3eisKUi0IkEpEoJx6PSyq6r68PLS0t0qS9vr4upBAKhSQDwFE7AwMD6OrqEhODeDyOzc1NrK+vi6tIQ0OD9Jup1z4V1OrECpKfKlBh3Z1N60aj8SU1I2cO8meoflS9OlXCs1qtchCnsIZtC+yVo/F1V1cXfD6fCMwYjZ0EsVhM9qPNzU3EYjEUCgX8sT/2x+DxeM71HlYrRWkH0KRp2laF73kAHGiadr5q4Tlw0QRHGbMajZHUeLEDH/aR6EmMIziqCa41mUxKtMIhl+FwWFxBksmkkJnNZpOxI8PDwxgYGKi4cXM+FxuyFxcXxS6rtbUVg4ODclrn30VxCE9u7AXigMnh4eFjBykWCgWpsSWTSXR2dmJiYqIiscXj8TJCY+3QarWWEVolg+RKKTQqUre3t1EsFjE0NITe3l54vd5Lk4Y8Dm+a4IilpSU8ePAAiUQC/f39uHPnTlm7AOtxDx8+FMPp0dFRdHR0YG1tDfPz80gkEmhoaJBrtNKBq9oolUrY2dnB0tKS+IM2NDTA7/fj5s2bIsUvlUqIx+NYXl6GpmlYWFiQmj2HrdJ4WXVMyWQy0ifHw1dbW1tZ9uK4TBHXNzs7i/n5eUmzNzQ0SI2OY7ii0aiI4Og+xH5YVaZPNSX9c9UDBcUg9PpkBJbL5dDQ0FA2QZzK57a2NmnUf9U9Q+eiQCBQUYh3GlSL4H4dQFTTtB+v8L1/AKBF07Q/deZVnhPVIDg2G29sbJRFY7TbUWGz2SpGYna7/cI3xGw2i2AwiP39fWiahtXVVbFJooSYNj5tbW1ywgwEAvB4PEfeSJFIpKzHjIX1YrGI5uZm+P1+3LhxA36/H3a7Xep56+vrcioDDjdbnlQ7OzuFQI87PLDGRmIbHx8vO9lxardexWWxWITMqG48CslkEpqmYXZ2VqLP5ubmshTUwMAARkdH4fV6LwVhnBSXheCAw8PRs2fP8Pz5cxgMBoyPj2NsbEw2ULvdjmg0WjYyqL6+XlLABwcHmJubw+rqKorFw3FQFDO9jii6WCxic3NT6mtsOPf7/RXn0cViMRlztLq6Kv2lVCCqJukWi+WlOh8Nitn7yabw4xCLxbC6uorl5WWEw2EAh/2Yw8PDMsYnkUjIYXd3d1dENCyR0LaPQhS9ilKdP0dHGdbo2WrBXjk2xLe0tKC9vR09PT0yQFZVkOpxmUQm2wD+vKZpv13hez8E4P+jaVrXWRd5XlSD4L761a8ikUhIvUZ90/Rkdlorm/NATffNz89jcXFRemI4wJJN0m63G36/X6Kz4+pF6XRaor7NzU1pAqeaivWqgYEBubFV55BK4hC9QlKF/mIuFAqYm5vDs2fPkEgk4Ha7MTExAY/Hg3Q6XUZoah+O2+0WP8RXyZKBwwnHU1NTWFpaEiUfHVbS6TRaWlowOjqKgYEBeV8vE2GcBJdxvQcHB3j//fexuroKu92Oe/fuoaen56W1hkIhTE9PY3l5GaVSCT6fD2NjY2hpacHi4iLm5uYQiURgNBpfqzAFOBRl7e3t4dmzZ9jc3ESxWERrayv6+/tfElsBh/fU2tqajLVhBMVe0/r6erGx4sggtlNkMhlxXeno6MDQ0BAGBgZE/HQUDg4OhOzovelwOOD3++H3+1+6H+kqsre3VzaaiwTIcoYaWdF3V50ZZzAYpOWBQQBNJYrFohhQUF9Axxl6YXq9XgwODl4agksB+CFN0363wvc+C+C3NU27eMuGI1ANgltaWhIH/5aWllNNaa4mqPpbWFiQlIQq06dSiz1hLHp7vd4j3SOADwUnJLRQKAQAUuTmhGy73Q6/34++vj60traK4nJzc1PSKw6HQwhNtc86DtzYKhHb2NgYDAaD9N9R3Wk2m0WBRRXWSTY22kFNTU3JUNG2tjaUSiX5u3t6ejAyMoKurpfPZZeRMI7DZV7v5uYm3nvvPUSjUXi9XnzmM5+peL0kEgnMzMxgdnYWmUwG7e3tGBsbk167ubm5NyJM4WubTqexvLyMpaUlBINBAJCp6Jz6rSKfz2Nzc1MIjz2jVGS2t7fLDDr28LFOxWZ23uter1dStt3d3Ufe5waDAS9evMDKyoqssbW1VcjupAIpil1CoZAQID03OdiUD6Y7GZnSUJkOQ+x7Y4aM6lWLxYIf/dEfxcc+9rGzvzmoHsE9BfANTdP+SoXv/X0A33PVrbqAN7dRRKNRubk1TRN1E+djtbW1obOzE36/H4ODg+KZp9b/KoHFbqYdKWVmcZmEZTKZ0N3djb6+PtTX12N7e1tkxQCOLJCfBjabDQ8fPsTz588RjUZhNpvR3t6OQqEgDiVGo1EaR2n/dRoVazabxdzcHKanp2Xmm91uF7VoQ0MDhoaGEAgEXjp9q7jMhFEJl329nLIwOTkJk8mEvr4+jI+PH1n/nZ+fx/T0NKLRKKxWK0ZGRjA8PAyTySSjj16XMKXSa0sl5uLiophQd3V1ob+/Hz6f76UMD2toq6urWF1dld/Hnjy1Z4xpwN3dXRHArK2tlaXlaZbg9/tluklrays8Ho/8XCKRwMrKClZXV8VWrqWlRcjurLXNbDYrLQ2c6kC7MwrYVKKj/2WhUJCpJLT7+umf/mm88847Z1oHUS2C+3EAvwTg7wH4FQBbADwA/gyA/xrAX9A07R+ea6XnwFUjuHA4jOnpaSG09fV1KQo3Njaivb1drHfoDOJyucp67SqtleIQkhpTe3RnKRQKIoMGIHZBRqMRoVAI29vbQoIsIOvts06LYrGI6elpccHghIGWlpZXzqs6KWKxGKampmSCQEtLC8xmsyjP2traMDIygv7+/hP1K152wtDjqqw3lUpB0zRMTk6isbERd+7cwcDAQMVrq1QqYWNjA9PT09jY2IDJZMLAwICkLw8ODjA/P4+FhQXE43ERpgwNDVXVUeZVr+1RSsz+/n54vd6KB7T9/X0hOx4i7XY7fD6fKBX1r4kqMiFJptNpNDY2orW1VUoUbBng13ifra2tYWVlBdvb2yiVSlJX7+3thdPprMprRdNplQDZhkRDbda80+k0fvInfxLXr58vLqpmH9x/C+BvAFDlgGkA/4OmaT935hVWAZeZ4CjGmJubw8zMDDRNw/b2thBac3OznMiuX78On88n7ujHRS9c6/7+vqQdt7e3ZRwICaNYLEpfCntz2Jqwu7sr4hCmQirZZ50WtPZ58OAB7t+/j3A4LM7qdJ3v7OxER0fHqRrk9eAGuL6+LgpW4HADMRgMMqLmpE3hxFUhDOIqrddut2N5eRnvvfcednZ24HK5cO/evWM9RPf39zE1NYWFhQUUCgV4vV6MjY3B6/WiVCphc3OzojClr6/vxL6xx633JK/tcUrMvr4+uN3uikSeSCQkjbm1tSXjftiLxtYVFYVCQery9IFNJpMy+FcViACHGRp6ZlosFnEo4vgiliV6e3vR3t5+rtfrKPBwTeJLJBK4devWue5/oAoEFwgE6nAYrUVx2OD9cQBOALsAvq1pWvSY//5acFkIjv51Ozs7UkObnZ1FKBQSiy+ao/b19eHmzZtiRXWcAlBFJpMRx2/KqoHDXDsjrlwuJxOIVecCo9GIeDwu4hC32y3KrZM+fyWofo6bm5t4/vy51B1o5/TOO++IBdh5kM/nsbi4iKmpKVE/NjY2isrLYrFgeHgYgUDg2JrkcbhKhAFcrfVyraVSCYuLi3j48CGSySQGBwdx+/btY9Pf6XQamqZB0zQZzEqBEP1DFxcXMT8/j729PRGmMAtylizEWV5bvRIzn8+jqanpSCUmwTaK1dVVmbBuMpmkB627u7tiu1EikRBnIpoVFAoFEXmQ5DlNnqBRNS3FmP6kY9FFjngCLomKMhAImACkAPyApmn/97lWc0F4UwSXyWSkELuysgJN07C2tiaEBhx61XV0dGB4eBjXrl2TWWknLY6TPJh2ZOMozVQZcSUSCTk9xuNx2ezr6urklHQWcUglVPJzzGazCIVCQjp+vx+f/vSnZR7beS9mihDm5uYkNUO/zEKhgPb2doyMjKCvr+/ctZirRBjA1Vqvfq25XA5Pnz7FixcvYDQaxd7tuOxFsViUXkaaCAwPD2NkZEQIcnd3tyrClPO+tnQPWVxcPJESU/0bt7a2JLpLJBIwGAxwu91Cdvo+T7ZghEKhsv0CgNiOdXR0wGq1yrBmClyi0Sj29vZkNBj7+ti+0d/fD7vdXtUpGZeC4AAgEAjM49CS6zfPtZoLwusguGKxiP39fZHWbm5uYmFhQUZZ0G3cbrejs7NTooje3l50dHScKlWSSCQk7bi5uSl1MdbmvF4v+vr6sL6+jsXFRSwsLEjDM2dmsblcdQ45a0RznJ9jc3OzCEXojDIxMYHu7u4Tv7bHQZWRF4tFWK1WkTrX1dXB7/djdHS0qqfNq0QYwNVa71FrjcViuH//PtbX19HS0oK33nrrpWuoEvRuNH6/H9euXZO6Eglmfn4em5ubACASdZ/P98rDUDVf29MqMVXs7u5K3Y4qY4fDISKV9vb2imvlfDqambMNyul0oru7G11dXXC5XMjn80J2Ozs7mJ+fx/LyMra2tlAqlVBfXw+XywW/3w+fzycWXq2trWcmvstEcD8O4M8D+JymaaFzregCcBEER6ucUCiEUChUZlK8v78vGyzdM9STjl4Q8irk83kEg0EhNY5msVqtkkL0eDxoaGhAPB7H0tISlpaWRGnG6cFUW7KWdh5xCP0c2Y+m93Ps6OiQlNHBwQGcTidu3bp15KZ02jlgKysrmJqaQigUEhcGKrA4UHRoaOhC2jmuEmEAV2u9r1rr+vo67t+/j1gshp6eHrz11lsVHWn0oB3Y/Pw8crmctJ/4fD65B84iTLmo15b38UmVmPq/dX19HaurqwgGgyiVSrDZbBgeHkZ7e/uRhg7MvHCf2dnZEfLiIVjfbpRIJDA9PY2ZmRksLS1JxoRG1azncxK4+mhubj6RjuA8qBbB/QsAnwDQAuAhgCAOzZaJkqZpXzzHOis9508A+C8A3Prgefs0TVuu9LPVIDjOlaLfHF31d3Z2ZFyN0WhEY2Oj9J9RvnxaOTuAY8UhvNgo5c1kMpifn8fk5CRmZ2cRjUbR2NiIlpYWkQszVXnWovpJ/RytVisWFxfx5MkTIbaJiQn09PQc+/tPcjGn02kR4yQSCembyWazKJVKcLvdGBkZQW9v74UOFL1KhAFcrfWeZK2FQgHT09N48uQJCoUCrl27VuZ1ehyy2ay0GRwcHFT0E6UwZX5+HisrK8cKU17Ha3sWJSaRTqeF7NinVl9fD6/XC5/PB6/Xe6RgjPV8Rndqn2slE/RcLof19XVpP2Bfa3Nzs9iZURMAfDibkrZlKvEZjcZLRXDfeNXPaJr23adY10me868CaMRh/e/nccEE98/+2T+TzZ1KH0YO7e3t6O/vRyAQwNjY2JlktbyYmBvnhdDS0lJmbcXIj5OUHz58CE3TEI1GYbFY0NHRgWvXrmF8fFwunLPgtH6OrHs8efIEsVgMbW1tmJiYOLEb+HEX8/7+Pqanp2UyAW9Ijg7p7+/HyMhI1eTM51nrZcRVWu9p1ppMJvHo0SPMz8/DarXi7t276O/vP9H/rdTsPzQ0hJGRkbKIkGNl5ubmKgpTmpubX9tre1YlJtHY2ChqUo4FYnN5T08Penp6ji1TcIyV3qmINmJdXV1lY6zW19exvLyM9fV15PN5WCwWeL1eUWvSr3d/f1+ERcBhQ3pzczO+7/u+79yN+lWfJvC6EQgE7gJ4HxdMcH/zb/5N7O3toVQqoa2tTQhNzeefBqVS6SXnEKYD1AtGfYNTqRSePPn/t3fm8XFd5d3/avOixZskL7L27WjGsixZspwFshFDGkjClhAoS6FAKVC2l8LLC2UrtIW2lL0spaSlLVC2kIWQhIBJHBLL28iyRj6SbGvfF1uWZEnW8v5x7r2MxiPNjGZGM1c5389HH2nunHvvb47u3Oee5zzneepxuVxWbbV169aRl5dnTb7v2LHjmtpPgbDSfI4LCwtcuHABl8u1IsNm4q3Xe52TWZjRzG+XmppquSFXu6ConQwG2EvvSrQODAxw9OhRhoeH2bFjB7W1tUF9J811pxcuXGBhYYGcnBycTuc1ibx9BaZUVFSwa9euVSnl44mvSMyUlBSr5JAvl6pn35pZe8x5O3M5kJkr0pxHW4qlChFv2rTJGt2ZD+Rm1pa2tjY6OzutpMy5ubnk5eWRlZXFwsLCooCWsbExamtrl513DISIGDghRJKUcunyr2FktQzcM888Y/nkV7oWxAzXNTOHTE9PAypjgel2zMzMtFwOZm21pqYmXC7XohGMEMJnbTUTfzeK5fI5ehq0pfI5moatvr6eS5cusXXrVsuwhRJuffXqVcuFZGZrMb8k5tOmw+EgOzs7om7IQLTaBTvpXanWhYUFWlpaOHnyJFNTUwghqKqqCurhZ3Jy0lqLOj09TXp6Ok6nk4KCgkXX2tzcHO3t7dZyg6mpqaACU8JNoJGYy/WtmeC6o6PDSleXlpZmGTt/FQ3MeT9zdGd6V8w5f3Op0dzc3CJjZ97PzKkUs2isP72BEs6F3jcAfwO8CEgGJoFnUAu9nwtJ5fLn9WvgpqenF8Jx0SUkJARVvmFubo7e3l66urro6uqyopuSk5Ot0u27d+9e9CUcHx+nq6sLKSX19fVWAdBNmzbhcDioqamhsrLS70Jrb62eLlAzdyWofI6e83rp6enLGihzfdLJkye5ePEi27Zto6qqioKCgpAS3E5OTnL69GmklFbEqYnpPnI6nWHNQrFSgr0Ooo2d9IaqdWZmhhMnTtDY2EhSUhLV1dU4nc6gHoZmZ2dpaWnhzJkzXLx4keTkZBwOB06n8xqDaVYDb2lpsQJTzNqJq+Uy98Rc62dGTgPs2LGDoqIiSkpKAkrQMDk5SXt7u1X01Fxcbo64srOzlw2SMzMmdXZ20tXVZQXFpaamkpOTY0VnJiQk0N3dbblcPY1dQUEBBQUF19S0C5bExMSwzMEdAh4FJPATVJDJDuC1gABeLqX8TQDH+RzwcT/NbpVSHvbYZ1VGcBDYE4VZUNTzSSY+Pn5R9KLn0N9XbTWzaKJZW626upqSkpKgAkQ2bNhgJWLu6+uz8jkmJiZa6a927dpFenp6QF/+hYUF2traqK+v5+LFi2zZsoXKykry8vJCMmz9/f243W4rWCchIcEataWlpVFWVkZxcXHIGSfCiZ1GRGAvveHSevHiRerq6ujp6WHr1q3U1tYGXTzT202ekJBgpQMzc0N6Lkz3FZhSXFxMYWFhVK5f70jMjRs3WtMr/iIxTa5evWotLu/q6mJmZoaEhARrcXlOTo7fUbJZENn0XF29etVKw2eO7rZs2UJPTw8dHR20t7czPT3N7bffHtBSkOUIV5BJHdAB3CulXPB672dAjpSyNoDjZAD+/H8dnpXCo23gZmZmFpWVMYMxlgoOgcURkub8m1lbzUx4WlFRQX5+fsC+/dnZWQYGBiyXo7mYO9R8jgsLC7S3t+NyucJm2Myiok1NTQwPDzMzM0NycjJXrlwhKSmJ3bt3W3XXYrGgqJ0MBthLb7i1dnR0cOzYMS5fvkxeXh41NTXLJtJeCjPQqbW11UoH5nA4KCsrs77zJmZgSmtrq7X+M9SMKaEyOjpKX18fjY2NQUdimszPz1sjs87OTutzm4vLc3Jy/C7Z8CzvZRZgBuXV8kwyMTExQXZ2tjWNs1LCWS7nlVLKx328F9FyOatt4MbGxhZlDvEODjFdfZ5fIs9wW9MIXrp0yco3aa4dM5/2AsnkPTc3ZyVA7uvrY2BggPn5eeLj462oTjNLykryuZmGrb6+ntHRUTZv3kxlZSX5+fkr/oJeuXKF5uZmK8zfXKCelJTE5s2byc7OpqysLKS0YKuBnQwG2EtvJLSaEccNDQ0sLCywd+9eysvLV/S9mJqasq5hswCvWcXD1/HMwJQLFy4wPT29qqV8vDHvX6FEYnoyPDxMZ2entQQBVEpAc94ukHW2k5OT1r20p6eH6elpK2nF7bffHvLIN1wGrhc11/ZNH++9B/iElDI4/4D/c+4EdgJO4L+BlwM9qBHeiGfbcBi4rq4uent7aW1ttZ4qMjIyLLejZ3CIGaHknT7LrHs0PT3Nxo0brYzdgVxYnvkc+/r66O/vt/JIpqenWyO0HTt2kJSUFNJkfUdHBy6XyzJs+/btC2mObWRkBLfbzfnz57ly5YrlVzczm5eVlVFVVWUtFo917GQwwF56I6l1fHzcqlqRmppKTU0N+fn5KzqWuSzmwoULdHV1sX79eisdmK9Q+7m5OauUz0oypoQD775dSSTmUly+fNka2ZkVCZKTk63lB57BI0vhGVne39/PddddF/LDbrgM3FdRpXHeA/xUSjklhNiAmoP7OvAfvmrFhYIQ4tPAp3y89VYp5QOeG8Jh4H72s59ZhTHNUZqn79lX+ixQpWjm5uasG3tSUhI5OTkUFRUt6xrwzudozucBVkYSs5yNr4njldwoOjo6OHXqVFgM28LCAp2dnTQ1NdHb22tVF4+Li7OyoZeVlbF79+4V640WdtIK9tK7Glr7+vo4evQoo6OjVrLvldY/S0tLo7W11UoHFhcXR35+Pk6nc8lo68uXL3Pu3DlaW1sjWsrHl9al+tZXJObmzZspKioiPz8/oGwxJtPT09bi8u7ubmZnZ62pBzNPZiDBLjETRSmE2Aj8G3C/sWkcMMffPwTeLqWM2uN5OAycmcDY7PDl0melp6czPz9vLQg30+wUFBSQm5vr85+7sLBg+cm98zlu3rzZqlpt1nTyRzAXhzliGxkZYdOmTezbt4/CwsIVGTbPTBFmdnLTqKWkpFgpy7znQfRNOHLYSe9qaZ2fn6e5uZlTp04xMzNDWVkZlZWVQbvEPPVevnyZpqYmWlparHRgDoeD3NzcJVNj9fb2Wouv5+bmIhqYEmjfhpIT0xszktx7cfnOnTut0d1SrtqYMXAmQogy4ACqfE4vcExKeTYkhWEgXHNws7OzNDc3093dvSh91o4dO9i+fTuzs7MMDw9b1YTNubD8/HyfORHNBMWmy9E7n6Nn+qtgCeTi6OzsxOVyMTw8TFpammXYVrK+zDPXn7meDVRo8LZt23A4HMsWFNU34chhJ72rrXVqagqXy4WUkvXr11NVVUVpaWnAD3dLBZ55pgNLTU3F4XAsG6bvKzAlNzeXkpKSsAWmrKRvQ8mJ6Y05dWPO25lrb9PT060gFc8RbMwYOCFEsmdkY6wRDgP32GOPcenSJaampqwIyV27djE7O0t7eztdXV3Mzc2RlpZGUVGRFeThydjY2KIExWbJHO98juGYfF7u4ginYevp6aGpqYnOzk4rG0JiYiIpKSnk5eVRVlZ2TUaIYPXGGnbSCvbSGy2tIyMj1NXV0dfXR3p6OrW1tQEVwl1Or+mmd7vd9PX1kZSURHFxMQ6HY1mX38jICM3NzVZgSmpqKsXFxRQXF4d0bwi1b0PJiemLS5cuWcZuYGDA0pidnW0Zd+8I1WAJl4GbBB4GfgT8SkoZWmxnmAmHgWtubiYlJYVNmzZZTzXm4sSNGzdaxQo9y7KY+RxNo2bml1wqn2M48XUxd3V14XK5GBoaCsmwmUVFm5qaGBoastywycnJbNq0idLSUkpLS1e1rtZqYietYC+90dba1tbG8ePHGR8fp7CwkOrq6mXzMwaqd3h4GLfbzYULF5ifnyc3NxeHw7Hs2jwzMKW1tZXu7m4gtMCUcPZtf39/WCIxTa5cuWIZu97eXubm5jh06JA1R79SwmXg3gvci8piMg48hDJ2j0spZ0NSGAbCVU2gu7ubxsZGJiYmSExMJC8vj4KCArKysoiPj19xPsdI4Hkxexu2iooKioqKgjZsZiqj5uZmRkdHmZiYICEhgS1btpCZmRlSQdFo39iCwU5awV56Y0Hr7OwsDQ0NnDlzhri4OCoqKtizZ4/P63olOV/NquNTU1Ns27bNSge23PdmfHyc1tbWRYEpBQUFlJSUBJwxJRJ9u1QkZn5+PkVFRSsKmrl69SoDAwMUFBRYcQgrJdxzcFnAfcbPQeAS8AvgR1LKJ0PQGRLhMHA//elPmZ+fX5QJwMxCstJ8jpEkLS3NKikyODgYkmEbGhqynj5HRkaYm5sjKSmJrVu3hq2gaCzc2ALFTlrBXnpjSevly5c5fvw47e3tpKWlUVtbe03Zp5XqNb0gbrebixcvsnHjRqu81nJBHGZgipkxJZjAlEj37ezsLJ2dnZw/f95K8bV582YrJ2awnqqYmYPzhRAiF2XoPgjskFIGv6oyTITDwI2NjZGammqth+vr67NySyYlJbF9+3aysrLYuXMn27Zti2oGjq6uLpqbm+no6CA1NZWKigqKi4uDMmzz8/N0dHTgdrvp6emxPmtaWhrbtm2z3JDhKigaSzc2f9hJK9hLbyxq7enpoa6ujosXL7J7925qa2stL0w49HZ3d+N2u610YIWFhTidTr9LF5YKTCkuLiYrK+uae9Bq9u3U1JSVetCMxMzMzLRyTAYSiRmzBk4IUQy8zvgpBzqllHkrOlgYCIeB++1vf8vAwABTU1MkJiayY8cOa5QWaD7HSNPd3Y3L5WJwcJCMjAxKS0uDNmzT09NWUVEzP2R8fDzp6elWJv9IFBSNxRvbUthJK9hLb6xqnZ+f5+zZs7hcLmZnZ3E4HOzbt4/09PSw6b106ZIViTw7O0tWVhZOpzOglHUjIyNWKR/PwJSioqKAqglEkvHxcdra2jh37tyiSMyCggLy8vKWjMSMKQMnhMhHjdheB1SiEi7/FPixlPLZkFSGSDgMXENDAxs2bGDTpk1kZGSsekmM5eju7qa+vp6BgQFSU1PZu3cv+/fvX1Q91x/ml6ulpYXBwUGmp6fZsGEDGRkZFBQU4HA4IpodPVZvbL6wk1awl95Y13rlyhVOnTpFc3MzGzdu5KabbmLnzp1h9dhMT08vSmm3efNmq+q4v/Ric3NzdHZ20tLSYgWmZGVlUVxcTHl5uVWVO1p4R2ImJCRYkZjeJbBixsAJIY4CNcAI8HNUgMlh78TL0WI1qwmsJj09PdTX19Pf309KSgp79+6lpKQk4HLvntnS29raGB4eZm5ujq1bt1pBI6tVUDTW+nY57KQV7KXXLlqHhoaoq6tjbGzMmp8LdR7am/n5edra2nC73QwNDflNB+bN+Pi4lTHl8uXLbNq0iaysrKACUyKJr0hMM3DPjC6PFQP3AMqoPSmljLnCU2vNwPX29uJyuXwaNhN/aXnMhajm/JpZdSA7OxuHw0FOTs6qul1jpW8DwU5awV567aR1YWGB/v5+nn76aSYnJykuLmb//v1hm5f2ZGBgALfbTXt7O4CVDiwQo7qwsGCV5GpqamJubo5t27ZZLsxol6JaKhLzzjvvDMiQL0fEgkxiibVi4Hp7e6mvr6evr4/k5GT27t1LaWlpwOHL4+PjVsXivr4+xsfHrTV5ZgqtlebkC5Vo920w2Ekr2EuvnbSC0jsyMsLp06dpbGwkISGByspKHA5HRB4Qx8fHramEmZkZtm/fjtPpXDIdmLfWoaEhLly4QEtLC8PDw8THx1ulfHwFpqw2ZiRmZ2en3zWIgbBiAyeEuBM4IqUcM/5eFinlr1YmMXTsbuCCMWwmnlrNp7+WlharCoGZNDpWCora6cZmJ61gL7120gqL9Y6NjVFXV0dXVxebN2/mwIEDIRfsXIqrV6/S0tISVDow7771FZhSVFREcXHximrmhZuozsEJIeaB66SUdcbfy7EgpYxaVIZdDVxfXx/19fX09vaSnJxMeXk5QoiAAlxSUlJoaGiw1q+ZYcTbt2+nsLCQsrIysrOzo/7EZmKnG5udtIK99NpJKyydMcicn8vJyeHAgQMRyVYE16YDS0xMpLi4GKfTec05l+rb5QJTcnNzV1Q3LxxE2sD5+1QFqITK5t+aMNHf34/L5bIMW21tLaWlpQFdaGZBxvPnz9PS0sLY2BgpKSkUFhZSWlqKw+GI+YKiGo2dyc7OJisrC7fbTX19PQ8++CB79uyhoqIiqOTEgRAXF0dubi65ubkMDw/T1NRkRWDm5OTgdDqXTQcGkJCQQH5+Pvn5+YsCU55++mnWrVtnlfKJhcCUcKLn4LyI9NNlf38/9fX19PT0sHHjRssVGYhhGx0dpampCbfbbVUzSEtLIzc313JDBlKDKVrY6cndTlrBXnrtpBX8652cnOTkyZO0traSnJxMTU0NhYWFEdW0VDqwioqKgJcJmIEpLS0tVsYUMzClsLDQNpHVIQeZCCHigEPAdYCZfrsfeA74TSwsFYh1AzcwMIDL5QrasC0sLNDV1YXb7UZKyeDgoFW+Z9++feTl5cXExHEg2OnGZietYC+9dtIKgesdGBjg6NGjDA8Ps2PHDmprayM+Ipqbm+PcuXM0NTUxOjrK1q1bycvLQwgRVE23mZkZK2PK0NAQ8fHxVrb/SN5fom7ghBBVwI+BImAOGALigHSUi7MZuF9K6QpJZYjEqoEbGBigvr6e7u5uNm7caM2x+TNs5gTzmTNnaGtrY3R0lNTUVHJycnA4HAgh2L1795q8UcQCdtIK9tJrJ60QnN6FhQVaWlo4efIkU1NTlJaWsn///lUZDfX09NDW1kZzczPx8fEUFRUFlA7Mm9UMTIl2kMkOoAE1D/cR4HdSyhnjvfXAbcAXUKO6vVLKgZCUhkCsGbjBwUFcLhfd3d1s2LCBvXv3BmTYxsbGOHv2LI2NjXR0dDA1NUVGRgZFRUU4HA6KioqsY6zlG0W0sZNWsJdeO2mFlemdmZnB5XLR1NREUlISlZWVlJWVRXzdaVpampX30kwHtmvXLpxOZ9ABZ74CU3bt2kVJSUnYAlOibeA+B7wJZbzGlmizBXAB/yml/GRISkMgVgyct2ErLy+nrKzM78XQ19eH2+2moaGB/v5+4uPjrQuzrKzM5yTyC+FGES3spBXspddOWiE0vRcvXqSuro6enh62bNnCwYMH/QaEhIKnVjPnbFNTExMTE6SlpeF0OikuLg46EMY7Y0q4AlOibeDqgJ9JKb+w3AmEEB8FXiOlrF2xyhCJtoHzNmx79uyhrKxs2Qtpbm6OCxcu0NDQgJSSkZERUlNTycvLs1yZyxUUfSHdKFYbO2kFe+m1k1YIj96Ojg6OHTvG5cuXycvLo6amJiLr0HxpnZ+fp729HbfbzeDgIOvWrbPSgQVbPdwMTGltbaWtrc1K+1dSUrKiwJRoLxMoBk4GcI4TwEeDEbVWGBoawuVy0dXVxfr166murvZr2MwIKJfLRXt7OxMTE2RmZnLDDTdQXl5Ofn5+1NalaDSa8JObm0tWVhaNjY00NDTQ1dXF3r17KS8vj/h3PT4+3iphYyaEaGxspLGxkby8PJxOJ9u3bw/oWHFxcezatYtdu3Zx8OBBKzClrq6O48ePr0pgSjD469nNqIKm/rgMRGaVY4wyPDzMqVOnLMO2f/9+HA7HsoZteHiYxsZGTp06RU9Pj1VS4tZbb8XhcAR8kWk0GvuRmJjIvn37KCoq4sSJE7hcLlpbW6mpqSE/P39VNGzfvp3t27cvSgfW1tZGZmYmTqczqDJZ69ato6ysjLKyMkZHR63AlLa2NiswpaioKGIL4APBn4GLAwJ1/UXfXK8Cw8PDuFwuOjs7LcNWVla25Pqz+fl5Ojs7OX36NGfOnLEqbzscDiorK8NaUFSj0cQ+qamp3HzzzQghqKur4/Dhw+zatYva2tpVyxObmprKgQMHqKyspLW1Fbfbze9//3tSUlKsdGDBpPbbunUrtbW1VFdXW4Ep9fX11NfXhz0wJRgCSdV1EZj1c5xEYPNaTtU1MjKCy+Wio6ODdevWsWfPHhwOx5KGbWZmhpaWFk6cOMG5c+e4fPmy9ZS0d+9e8vPzQ46oeiHOZawWdtIK9tJrJ60QWb0LCwtIKTl16hQzMzMIIaiqqlpx3tiVavVcb9vb27tsOrBAWSowpbi4mIyMjJD0ehLKHNxnQjrzGsDbsFVVVS1r2MbGxmhsbOTYsWN0dXWxsLDA7t27uf3223E4HNY/VqPRaOLi4igrK6OgoIBTp04hpaStrY2qqipKS0tXbR4rLi6OnJwccnJyGBkZwe12W+nAsrOzcTqdZGVlBXXM1NRU9u3bR0VFhRWY0tLSwtmzZ63AlOrq6gh9IoVO1eWF+UQxOjpqBYGsW7cOp9OJ0+lc0rB1d3dz+vRpTp06RX9/P2lpaRQVFVFdXU1JSUlQWQWC1WoX7KTXTlrBXnrtpBVWV+/o6ChHjx6lr6+Pbdu2cfDgQXbs2OF/R4Nwar1y5YqVDuzKlSts3boVp9NJYWFhQMngfeGdMeUlL3kJOTk5IenU9eCC4OrVqxw5csQybA6HA6fT6dNlMDs7y7lz5zh27BhSSsbGxsjMzGTv3r3s27cvoPpNoaBvFJHDTlrBXnrtpBWio/fChQscP36ciYkJCgsLA66bFgmtc3NznD9/HrfbzejoKBs2bEAIgRAipPiB8fFxtm/fHnDuzKXQBi5Ann/+eWtthzli82XYJiYmcLvdPP/883R0dDA3N0d2djYHDhxgz549bNu2LVQpAaFvFJHDTlrBXnrtpBWip3d2dpaGhgbOnDlDXFwcFRUV7NmzJ+AakZGgt7cXt9tNZ2cn8fHxFBYW4nQ6V3zPi/Yc3AuK+fl5KisrKSgo8GnYzMXcdXV19Pf3WxFHBw8ejImCohqNZu2QmJhIVVUVxcXFHDt2jJMnT9LS0kJtbW3Ibr2VYq6BGxsbs9KBtba2rjgdWKTRIzgvvJ8ozCwAzz//PI2NjVy8eJHMzEz27dtHdXV1VP+h+kk4cthJK9hLr520Quzo7enp4ejRo1y6dIndu3dTW1t7Td3H1dZqpgM7e/Ys4+Pj1hKokpKSgNKBRb2agF0It4GbmppCSsmRI0c4f/48s7Oz5OTkcP3111NeXh4TBUVj5YsXKHbSayetYC+9dtIKsaV3fn6es2fP4nK5mJ2dxeFwsG/fPiv4LVpa5+fn6ejowO12MzAwwLp16ygpKcHhcEQ83aAtXZRCiG2oZQqHgDxUmZ5HgE9IKYcjdd7R0VGeeeYZnnvuOXp6ekhOTsbhcHDDDTfEfEFRjUaztomPj8fpdFrLChobGzl//jz79++nuLg4qrrMiuGDg4O43W7rJ9h0YOEkZkdwQohy4LPAA4Ab2A18E+iWUr7Uu304RnCPPPIIx48fZ2BggIyMDPbv309NTQ27d++OKb+ySSw9WQaCnfTaSSvYS6+dtEJs6x0eHubo0aMMDAyQmZnJbbfdFpElSSthfHycs2fP0tLSwvT0NJmZmTgcjkVJLrSL0gMhxJ2oUdwW7/I94TBwX/ziF1m3bh01NTVUVFRENYdaIMTyF88XdtJrJ61gL7120gr20Hvu3DlOnDjB/Pw82dnZ7N+/P2ZSAM7OzlrpwMbGxkhJSaGsrIzS0lIyMjK0gTMRQtwPfB9Ik1IuSh8WDgM3MTFBeno6U1NToR5qVbDDF88TO+m1k1awl147aQX76L169Sqtra0cO3aMhIQEKisrcTgcES+yGigLCwtWMdaenh4SExO56667Qo5nWBMGziisegx4TEr5Pu/3p6enF1a6ut6ThIQE5ubmQj7OamAnrWAvvXbSCvbSayetYC+9CQkJjIyMWGt0N2/ezPXXXx+1ZQVLMTIyQnNzM0KIkBNMJyYmxo6BM6qEf9xPs1ullIc99kkBfg3MAXdIKa8ZYkW74Gk0sJNWsJdeO2kFe+m1k1awl15PrV1dXdTV1TE2NkZOTg4HDhyIuWmXtRhF+WXgv/y06TD/EEKkAr8yXr7Cl3HTaDQazWKys7PJysrC7XZTX1/Pgw8+yJ49e6ioqAhojdpaYNUNnJRyCBXy7xchRBrwGKrW3B1SyvFIatNoNJq1RHx8POXl5RQWFnLixAkaGho4d+4cNTU1FBYWRltexInldXBpwBOoSuGvBFIMVyXAiJRyJlraNBqNxk4kJyfz4he/GCEER48e5emnn0ZKSW1tLenp6dGWFzFiI7zGN9XAdYATaAZ6PX5uiKIujUajsSXbt2/nFa94BTfeeCOXLl3i4Ycf5rnnnrNN5HiwxOwIzggyib3V1RqNRmNj4uLiKCkpIS8vD5fLxdmzZ7lw4QKVlZWUlZXFzLKCcLB2PolGo9FoAmbdunXU1tZy9913k5mZSV1dHQ899BA9PT3RlhY2tIHTaDSaFzBbtmzh0KFD3HbbbczNzfHEE0/wu9/9zjZLI5YjZl2UGo1Go1k9cnNz2b17N42NjZw+fZquri727t1LeXk5iYn2NBX2VK3RaDSasJOQkEBFRYW1rMDlctHa2kpNTQ35+fnRlhc02kWp0Wg0mkWkpqZy8803c8cdd5CUlMThw4d5/PHHGR0djba0oNAGTqPRaDQ+2blzJ3fddRfXXXcdIyMjPPTQQzz//PNMT09HW1pAaBelRqPRaJYkPj6esrIyq8iqlJK2tjaqqqooLS2NyVqZJnoEp9FoNBq/rF+/nuuuu467776bLVu28Nxzz/Hwww/T398fbWlLog2cRqPRaAJm69at3HHHHdxyyy3MzMzw2GOP8fTTTzMxMRFtadegXZQajUajCZr8/Hyys7NpaGjgzJkzdHR0UFFRwZ49ewhHbc5woA2cRqPRaFZEYmIiVVVVFBcXc/z4cU6ePElLSwu1tbUxUWRVuyg1Go1GExJpaWnceuutvPSlLyUhIYGnnnqKJ598kkuXLkVVlzZwGo1GowkLWVlZ3H333dTW1jI4OMgvf/lLjh07xsxMdKqbaRelRqPRaMJGfHw8TqeTwsJCTp48SWNjI+fPn2f//v0UFxev6rICPYLTaDQaTdjZsGEDN9xwA3fddRdpaWk8++yzPProowwODq6aBm3gNBqNRhMx0tPTufPOO7npppuYnJzk0Ucf5ciRI0xOTkb83NpFqdFoNJqIU1hYSE5ODqdPn6axsZH29nbuueceUlNTI3ZObeA0Go1GsyokJSVRXV1NSUkJZ86cifh8nHZRajQajWZV2bRpEzfccAM7d+6M6Hm0gdNoNBrNmkQbOI1Go9GsSbSB02g0Gs2aRBs4jUaj0axJtIHTaDQazZpEGziNRqPRrEm0gdNoNBrNmkQbOI1Go9GsSeIWFhairUGj0Wg0mrCjR3AajUajWZNoA6fRaDSaNYk2cBqNRqNZk2gDp9FoNJo1yQu2XI4QYhvwGeAQkAcMAY8An5BSDvvZ9zXA3wJFwDng41LKX0RWMQgh3gm8HqgCNgMFUso2P/v8GfB9H29tlFJOhVujx3mD1mrsF62+XQ/8E0rzRuAp4N1Syq5l9vkzVqlvhRDvBv4a2AU0Ah+QUj6zTPu9wNeBWmAE+Dbwt1LKiEeVBaNVCJEPXPDx1p9IKX8dMZHq3DcBHwaqgSzgrVLKB/zsE81+DUpvlPv2Y8CrAQFMA88DH5NSnvGzX1j794U8gssCdgMfAfYCbwRuAn643E5CiOuBHwP/DVQav38ihDgYSbEGycATwKeD3G8SdbOxfiJp3AyC1hrlvv0y8BqUgXsxsAl4RAiR4Ge/iPetEOJ1wFeAv0M9MPwBeEwIkbtE+03Ak0A/cAB4H8rgfCicusKh1YM7WNyPv42kToNU4AzwfuCKv8bR7FeDoPR6EI2+vQX4JnADcBswC/zGGFj4JBL9+4IdwRlPEq/22NQqhPhr1E1tk5RybIldPwD8Tkr5eeP154UQtxrbXx8pvQBSyi8DCCFqgtx1QUrZF35FS7NCrR8gCn0rhNgM/DnqifhJY9ubgHbgduDxZXZfjb79EPCAlPK7xuu/EkLcAfwl8DEf7f8U9YDxFinlFeCMEMIBfEgI8aUIjzaC1WoyHIVr9FfArwCEEA8EsEs0+3Ulek2i0bcv83xtfJ8uATcCDy+xW9j794U8gvPFJtRwenKZNtejRiaePI56UolVNgoh2oUQXUKIR4QQVdEWtATR6ttqIMnz3FLKTqApgHNHtG+FEOsMfd798sQy2q4HnjFuEiaPo7wW+eHU58kKtZr8XAgxIIR4Vgjx2ogIDJ2o9GsYiIW+TUPZm9Fl2oS9f7WBMxBCbEHN/XxXSjm7TNOdqCG0J/3G9lhEAm8D7kGNgqaAZ4UQJVFV5Zto9e1OYA41DxvMuVejbzOABILrl6X60XwvUqxE6zhqXuk+4E7U3OePhRBvjJTIEIhWv66UWOrbrwAu4Lll2oS9f9eci1II8Tng436a3SqlPOyxTwpq2NyNmpPzh/dQOc7HtoBYid5gkFI+h8dFJYT4A+pC+yuUjztgIq3VYNX7dpn3lj13OPs2AILtF1/tfW2PBAFrlVIOAf/ssem4ECID9T38r8jIC4lo9mtQxErfCiG+BLwIeJGUcs5P87D275ozcKhgAX//vA7zDyFEKoZfG3hFAAECfVz7NLGda588AuXLBKE3VKSUc0KI48BKRhlfJrJao9W316FGHhnAoNe5nw70ZCH27VIMoUaXwfTLUv3IMvuEg5Vo9cVR4K3hEhVGotWv4WRV+1YI8S/A/agH3/N+moe9f9ecgTOeWrxdTT4RQqQBj6GeEu6QUo4HsNtzqKUF/+ix7RAqWixogtEbDoQQcUAFUB/svqugNSp9K4Q4AVw1zvU/xrZswBHMuUPp26WQUs4Y+g4BP/F46xDwsyV2ew74ghBig8cD2yGgB2gLl7YwafVFJdAbRmnhIir9GmYqWaW+FUJ8BWXcbpFSng1gl7D375ozcIFiGLcnUIElrwRSDFclwIiUcsZo9xRQJ6U0I8C+AjxtrPP4BfAqlJvrRaugeSfqCafU2OQ05g47pJQjvvQKIT6FWoPSgvqs70PdhP8y1rQSpb6VUl4SQnwP+EchxAAwDHwJOA38xuMzRatvvwT8QAhRBzwLvAs18f4tQ8ffA7VSypcY7f8H+BTwgOGmLQX+L/CZVVivFZRWIcRbUA8Xp4B54C7gPcBHI6zT9N4UGy/jgVwhRCXq+98RY/0atN4o9+03gDeh7q2jxv0AYNwcSKxG/76Qg0yqUa4pJ9CMeqoxfzwjvopQa0cAkFL+AfVU8hbUDfDNwOuklEdXQfO7UBfrfxuvHzVe372UXmAL8B1UROATqLV/N0kp62JNa5T79oPAz1Hr8J5FTdDf5TVnEJW+lVL+GLVU4hOoOb4XAXdKKduNJrsMbWb7S6gn3yzgOPAN1FzMl8KpKxxaDT5h6DyG+v+/TUr5L5HWCtSgrslTqMX9nzH+/qwvrdHs15XoNYhW374bFTn5FIvvrR/2aBPx/tXlcjQajUazJnkhj+A0Go1Gs4bRBk6j0Wg0axJt4DQajUazJtEGTqPRaDRrEm3gNBqNRrMm0QZOo9FoNGsSbeA0K0YI8WkhxIIQomWJ91uN9z8dpvMNeR5LCHFYCPHTcBw7SB0FxufqMLKXrPb524zzX5NnUwjxYuO9BaEKXkZSx6eFEKuWhScYhBBfE0L4Kka7VPt3CiFeGWDb9wohFjxe1wghho2yS5oYQhs4TahMAQXedd+EEAdQldIjWVj13SxfYyxSmLXpclD1raLBOL5r5N1vvLca/BvwMr+tVhkhRA7wduALQez2TlTWjaCRUh5HLWr/4Er210QObeA0oTKBqhB8v9f2+43tE5E6sZTSLaX0OXqMMK9HpeiaIMJFbpfhEVT6s3Jzg1DVx18LPBSOEwghkoSPiubmdilll5TyRDjOFWbeBZwMMP9huPg+8C4hxAs2/WEsov8ZmnDwI+DTQoi/llIuGG67+4BPolKiLUII8SLg86iy9FdQKbI+JKW87NHmJuBrgAAaUSVovI9zGBiSUr7WeF0GfBo1qkoHLgDfBb4qpZw32twC/A6V4/I9wJ8AA8A/SSm/6e+DCiH2AOXAXwC3APcKId7vXUNQCPFeVM6/bcCTxmf5DR7lhIQQ8ajSJW9HjQbbgc9LKf/Dnw5UaacjqAeJTxjbbgNSUQbuDV56/o/RthQ1qq4DPiilbPVocxiVnPoJQ3s+kC+E+MES2/8ceK+UMsPYPwU1ajpkfJ5+VKWOj0kpxzzOsxX4V1RuxEuoHKSZwGullPke7XKBLwIvBTYAzwDvk1JKP33zZrzSOxn/t38GaoH1qCoSX5dSfsP43NVAtZG/EVR19weEEOuN/d6Iyuf4H/iumPEQ8O+oEe2jfvRpVgk9gtOEg58DO/hjUuQXo25Yv/BuKIS4EZWfrg812vgAqhjj9z3aZKGqPIwYbb6NymmZ7EfHblQR0ncbx/wuKl+fr+Sy30Vl/X8VcBj4hhCi1s/xQRmOWVR2/B8an/Mlng2EEK9CGbSHjOOfBr7n41hfQxmn7wAvR/XXvwshXhGADozze46cX4+qa+hr1JwNfB1VnPUdqPJAz/qYN7oRlSz6o/zRAC233ZNk47gfRz04/A3K6P7Eq90DKCP4fpRr8KXA6zwbCCG2oQy4QI3I7gNSgN8IITb6OLe5nzA+q3cViIdQpXzeiMqH+jVUrkRQ18tZlDG+3vgxjdQ/oB5A/hb4U5Tb/f94n9cw4I3A7Utp06w+egSnCRkp5UUhxK9RN9tnjN+/NrZ7N/8H4A9SSuuGJoToBp4SQpRLKc+gjN4U8HIp5aTRZgI/td2klE+hjKdZuuYI6qb7DuDvvZr/UEr5OaPtYdRN+9Wokc1y3A88KaUcFkI8DoyiDMvjHm3+H/ArKeV7jNdPCFVo0qoyIIQoNl6/1WPE9hshxC5URvVH/OgA+CnwVWO+0zTWPmt9SSmt+SHD7fgkauR6D/CfHk23AFVSyj6P9stt9zzHoNdnTESNoo8IIXKNjPflKANzn5TyJ0a7p4BOFs8dfhBl0Co9qk88iyqb8jZUIl5fmB6DMx46MoBC4JVSygZj81Meut3G9TUopXzeY790lHH9lJTyn41tjwPuJc5djxohamIEPYLThIsfAa81XDqvNV4vQgiRjHo6/l8hRKL5gzJEV/njzakWZUQmPXb/uT8BQogNQojPCCFagWnjmJ9HBcF4P8w9Yf4hpbyKKnmT7ef4B1E3yh8Z+80Yul4lhNhgtElA1dzyngfzfv0SlMvrF1598RRQ6WvuyxvDoJjzn3eg6ho+toT264QQTwohhlEj0EmUO7PUq+kJTyMWwHbv87xJCHFKCDGO6v8jxlvmecxgpIc9PscVPMoSGdyOMsJjHn1zGTjhcQxf7ASmpJSeo9gRlAH9lhDidUKI7b53vYa9KNfoLz20znu+9mKIawt2aqKINnCacPEQ6ob5edST98M+2mxFubC+ibr5mT/TQBJq3gbUTWLAc0fjJugvOvALqHIc30G5KA8AnzPe2+DV9qLX6xkfbbx5vaH3sBBii1D17R5F1YK702iTifKMDHrt6/06A9UXl1jcFw8Y++8iMH6Ect+9AXhQSjnt3cCYy3oCZQD/AuVuPIDqY+/PvFTlZL8VlQ3X7H+iClfeiypH9SrjbfM8O4HLHgUtTXz1z+tY3DdXUXOnOSzNBtT1ZGEYpZei3OL/DvQJIZ4RQlT5+UimsRrw2u792mQa/9eQZhXRLkpNWJBSTgghHkG5ln7i9QRtchFYQAWC/MrH+z3G7z7+WKoeAGPeJdWPjHuBr0kpv+ix38sD0e8PIyDkPpQhbvfR5PWo0dwgaoSU6fW+9+sRo92NqJGcN0vdRL35OaqY6L2oeTxf3IFy1d5j/l+MEdE2H22Xqp8VSF2te4GjUsp3mxuEEDd7tekD0sTiqs3gu38eQs19eXPZxzbP/TYJIeLNwCIAI6LyNUKIJNQc8ReAR4UQ2Z7tfGgFdS2OeGxfagS4xaudJspoA6cJJ/+KilD7lq83DSP4PCCklJ/11cbgGPA2IUSyh5vy1QGcfyMeT++Gm897+cJKuQU1qvoo187TvRW4TwiRJqW8LIRwoea2vu3R5m6vfX6LGsFtllI+uVJRRjXyLwBlXOvmM9mIMqKekZ73Ef7v/6L+N/hTr9fHjd93A/8L1sPLIRYbrqcMjY3G6D1QJGqkmoea/1v8pnJH/1YI8SVUBektKKPkawTfgJoLvgcVhGI+6NyzxLnzUcWTNTGCNnCasGGEvx/20+wjqICSeVSQxGUgFzX6+LiUshn4MiqE/xHjRpSFWtDt70b3JPAeYw5uxDjG+pV8Fh+8HjUC/Yq3G1AIMYYKTX8l8APg74CfCyG+jhqF3MgfR1fzAFJKKYT4FvAjIcQXUTf+DcAeoFRK+fZAhUkpP+mniWlMvy+E+J5xjg9zrZs2VJ5ERaN+HDiKctsuijCVUp4RQjwM/KsQIg01SvoQak7QcyT1JVTE42+FEF9DLYvYAdwMHJFS/nAJDXUoQ16NYeCEEBXAP6GqtZ9Huco/CtSbASwoA/YyIcTLgGHgghFI9B3gM0KIWVSU5DtY2pNQQ3CLyzURRs/BaVYVKeUR4CaUS+oHqLm6j6CCAPqNNt2om2MGKhz/3aib3aSPQ3ryV6gozm+g5lrOcG30ZNAYbq3XoFyv18xxSSlPoiLr3mC8/gXwPpTBexA13/Vho/mYx67vQbng3oxy2T6AMoRPh6rZS18DapR5EBWd+QaUO9FXqH8ofBu1Zuz9KNdpHl7r8Qz+DDXa/Crq//R74Nd49I2Ucgg1h3cW+BfUHOIXgc2oZRc+MVywj6OWKZj0oa6tj6OCcL4JNLF4VP05Y9v/ojwIdxnbP2Jo/CRqWUYPXmvsAIz5vEwCCIbSrB5xCwuBuNY1Gk0oCCE+gbrBbgvS5bbmMeYDz6Dm797ir30Ax3sVKo1Ylq8HkkgghPh74ICUUq+DiyG0i1KjCTNCiEyUS/V3qFHni1Euse9p4wZCiHtRbucGVATqO4AS1Eg2HDyIWuD/JpShiyhGBpd3oJbHaGIIbeA0mvAzgwr6eDPKpdaLSkf1N9EUFUNMoFymxai5wQbgLimlv0X2AWGki3snKgvKapALfNZMwaaJHbSLUqPRaDRrEh1kotFoNJo1iTZwGo1Go1mTaAOn0Wg0mjWJNnAajUajWZNoA6fRaDSaNYk2cBqNRqNZk/x/XbdPeDITS+cAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -297,7 +503,10 @@
     "\n",
     "x = np.linspace(-2, 2, 50)\n",
     "\n",
-    "for a, ba in zip(prior_samples[\"a\"][:50], prior_samples[\"bA\"][:50]):\n",
+    "prior_samp_a = np.array(az.extract_dataset(prior_samples[\"prior\"])[\"a\"][:50])\n",
+    "prior_samp_bA = np.array(az.extract_dataset(prior_samples[\"prior\"])[\"bA\"][:50])\n",
+    "\n",
+    "for a, ba in zip(prior_samp_a, prior_samp_bA):\n",
     "    y = a + ba * x\n",
     "    ax.plot(x, y, c=\"black\", alpha=0.4)\n",
     "\n",
@@ -320,7 +529,9 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "(4000,)"
+      "text/plain": [
+       "(4, 1000)"
+      ]
      },
      "execution_count": 13,
      "metadata": {},
@@ -328,7 +539,7 @@
     }
    ],
    "source": [
-    "m_5_1_trace[\"bA\"].shape"
+    "m_5_1_trace.posterior[\"bA\"].shape\n"
    ]
   },
   {
@@ -342,11 +553,13 @@
     "age_std_seq = np.linspace(-3, 3.2, 30)\n",
     "\n",
     "# Given that we have a lot of samples we can use less of them for plotting (or we can use all!)\n",
-    "m_5_1_trace = m_5_1_trace[::10]\n",
-    "mu_pred = np.zeros((len(age_std_seq), len(m_5_1_trace) * m_5_1_trace.nchains))\n",
+    "# m_5_1_trace = m_5_1_trace.sel(draw=slice(None, None, 10))\n",
+    "m_5_1_data = az.extract_dataset(m_5_1_trace.posterior)\n",
+    "\n",
+    "mu_pred = np.zeros((len(age_std_seq), len(m_5_1_data.sample)))\n",
     "\n",
     "for i, age_std in enumerate(age_std_seq):\n",
-    "    mu_pred[i] = m_5_1_trace[\"a\"] + m_5_1_trace[\"bA\"] * age_std"
+    "    mu_pred[i] = m_5_1_data[\"a\"] + m_5_1_data[\"bA\"] * age_std"
    ]
   },
   {
@@ -356,10 +569,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/png": 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\n"
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -394,17 +611,56 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bM, a]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [a, bM, sigma]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
     }
    ],
    "source": [
@@ -412,7 +668,7 @@
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
     "    bM = pm.Normal(\"bM\", 0, 0.5)\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    mu = pm.Deterministic(\"mu\", a + bM * data[\"Marriage_std\"])\n",
+    "    mu = pm.Deterministic(\"mu\", a + bM * data[\"Marriage_std\"].values)\n",
     "\n",
     "    divorce_rate_std = pm.Normal(\n",
     "        \"divorce_rate_std\", mu=mu, sigma=sigma, observed=data[\"Divorce_std\"].values\n",
@@ -428,10 +684,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1200x400 with 4 Axes>",
-      "image/png": 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\n"
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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -481,14 +741,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/joanna/Dropbox/Sketchbook/python/resources/env/lib/python3.8/site-packages/IPython/core/pylabtools.py:132: UserWarning: Calling figure.constrained_layout, but figure not setup to do constrained layout.  You either called GridSpec without the fig keyword, you are using plt.subplot, or you need to call figure or subplots with the constrained_layout=True kwarg.\n",
+      "C:\\Users\\mason\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\IPython\\core\\pylabtools.py:151: UserWarning: There are no gridspecs with layoutgrids. Possibly did not call parent GridSpec with the \"figure\" keyword\n",
       "  fig.canvas.print_figure(bytes_io, **kw)\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<Figure size 212.598x133.858 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 153.071x96.378 with 1 Axes>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -534,8 +796,10 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 212.598x133.858 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAKcAAABuCAYAAABC8QOQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAAALX0lEQVR4nO2df7BVVRXHPwtB5UcEgpSav4DYTggCDwQtStOHmaaYGVGpY46SpqM5I1mmpVOOOvmrEtIRNEWjxsiMScxeppQ5CoKY1dERRNH44S9Q/Ims/lgHvb7ue5xz7jm8e+5dn5kzw3uctfa+73zvPnuvvffaoqo4Tj3Srasr4Dgd4eJ06hYXp1O3uDidusXF6dQtLk6nbnFxOnWLi9OpW1ycTt3i4nTqlu5FOheRbsBQYD+gHyDABmAZEKnqu0WW7+SDiAwAxgC7A9sDbwLLgSWq+mph5eY9tx4LshU4DTgYeBlYArwIKNAfGAV8BPgbcB0wX1U35VoRpyZEZG9gGvBlYCD2DFcAbwM7AsOAEcDTwBxglqquzbUSqprbBRwBPBl/kFOAgZ3c2w84HngAeAaYSvxl8avrLmBX4HbgBeDKWIDdOri3BzABmAW8AswE+uZWl5w+UD/gJqypb00rMuAA4HFgHjCoqx9Qs15xY7EWuAjoldJ2J+B6YCXQmkt9cvhAuwCPxRXrU4OfHYHLYoEP6eoH1UwXNha4FPg3MLpGX5OA54BTa65XjRUZGLd4F+T1Ssb6qk8Du3f1Q2uWC/gx8AgwICd/Q+MW9Bu1+Mk8IBIRAe4EnlTVczI56dj3ecAXgE+rj+gLRUQmA1cAE1R1XY5+hwF/x17xS7P4qCXO+XVgD+C8Gnx0xOXAJuCsAnw7MXGIaAZwYp7CBFDVJ4BzgZtEZPtM9cvScopIH6xveJiqLslScIIyhgAPAcNVdXURZTQ7IjITeEtVzy7IvwDzgTZVvTK1fUZxTgMmqeqxqY3TlXMd8Kyq/qjIcpoREemHxS33UdU1BZazPzAXGKqqm9PYpn6tx9+G07HXQdHMAKaJSKEzWU3KicBdRQoz5mHgJeBzaQ2z9Dn3BAYBf0ljFEI4JoSgIYR9ktqo6qNYcHd0qho6STgKuDXJjfFzu6Xi5+4hhHUhhPlbs1V7Nc+Jy0tFFnGOBRZp+v7AVGy68isp7R4CWlLaOJ0Qv/1asFYtCRuBfUMIPeOfW7FYZlIeJsMzzCLOMcDiNAYhhD7AJ4GTSS/Oxbg4UyMiu4jIDBGZJiItIrJDxX8PBl7VdHPhd2HT02ANza9S2C4FhotIjxQ2mVYl7Yy1ZmmYDCyIouiJEMJLIYQxURQ9ktD2eeDkOPbpJOez2MKbt7GwXE8RWQn8A/ubpl2kMRe4MH6VjwRmAxOTGKrqRhF5E+iLLQBKRBZxdgfSBsanAlfH/54b/5xUnJuw1npMyjIdY8sz3gzshc3evI7NwiUmiqJlIYS9sGf3xwz1eAdbKJKYLOJ8A+iV9OYQwgDsW7xvCEGB7QANIUyPoihJv7U3cLuqHpehrk2LiEwCFmBC/CdwH/bGWwwMAG7I4PZO4CfAQbGPpHUR7Dm+nqawLOKMgOEp7v8ScHMURdO2/CKEcB/wKWBhAvvhwH9S1dBBVf8kIrsAa9sPXkXkJWCYiHTXdOtoZwProyh6LIRwUAq7PYENqrohhU2mAdFibMSelKnA79r97rfAVxPajyXlAMwxVHVNtahKLJJVwCfS+IuiaFUURddkqEoLGZ5h6hkiEemNdaiHqOoLaQtMWVYv4FlghKo+X2RZzYaI3AQ8qqpXbYOyZgCrVPWSNHapW05V3Yi1hCeltc3AFOBBF2YhzMZm36TIQkTkQ1j48Oa0tllXJV0LnJY2bpWGeC/SGXFZTv4sxEbQrQWXcwJwr6quSmuYSZyq+jA2MCoy9ngqFka6u8Aympa4L3oR8FMR6bm1+7MgIh8FfgCkep2/Z1/DYuPdsVjlIaq6LJOTjn3vhU15fUZV/5Wnb+eDiMhvgJWqem7OfgXr/j2uqudn8ZF5sbGqPgucA9whIrtl9dMeEdkJi6dd4sLcJnwLmCIiJ+Ts94fYYvSLszqoaSmaqt4SN933iUirqq6oxV/s669AABbV4stJhqquE5HDgDYR6aGqs2rxF7eYF2Px7YNU9a1aKpfHhqbTgXXYwo5MG92A44DVwPexVfYKTMyjfn4l+vsHLOfArWTc6IZNj7Zh8/c711ynHD/cSCzQ2oYtLK26Eb+djWBTYX/AZoEmVPyfC3QbX9i09FVYHPvbQP+EdrvFreULwHeA7nnUJ9d0NHFo6QSsH9MXuCMWbLV0NC3AkVi/dyZwg6q+0c7fcmBvbBdmkqlOJwdEZBy2ufAIbJHHg9hzXI6Fn7ako2nBViZNxJbQXaO2sS2feuQpzvecWr9jHHAI9gFGAR/GWspXsURei7DFCAu1k0q4QLsOERkEHI09w7HAx7BEXm9hQl2ERVV+rwUk9CpEnHnjAm1OSpGfU1UHYzsF7xeRRAtcnfJTCnGCC7QZKY04wQXabJRKnOACbSZKJ05wgTYLpRQnuECbgdKKE1ygjU6pxQku0Eam9OIEF2ij0hDiBBdoI9Iw4gQXaKPRUOIEF2gj0XDiBBdoo9CQ4gQXaCPQsOIEF2jZaWhxggu0zDS8OMEFWlaaQpzgAi0jTSNOcIGWjaYSJ7hAy0TTiRNcoGWhKcUJLtAy0LTiBBdovdPU4gQXaD1TiqQK24LKxA1YZos2TXfCmZMzLs4KRGQFliltM3bw7KTOUuU4xeJHRX+QOVgKxm7AAcDX4t9VRUR2BcZjuYT2AXpiqcLXYlmfFwFLNN1ZP06Mt5wViMixwC+BHbAv7mvAMFX9b8U92wGHYzlJx2MZ2BYBj2MnlG2HpQRswZKZ9Qeux7LovefH2TouznaIyB7AbVhmvB2Be4lf7yIyHLgRE+DPgF+3T9tYxd9+wGlYctxLgKtVNe3ZoU2Ji7MKcQrHU4BrMIEeDwwCvgecD1yfti8qIkOws396AFPUcuo7neDi7ISKVnQM8BRwpKqurMFfN2A68E3sFJKncqlog+IDok5Q1WdE5G5gJyw36Ms1+tsMXCoi64F7RGSCh6s6xlvOThCRA4B5wChVXZOz78uAjwPHeriqOk0/Q9QR8almNwJn5i3MmAuxEyymFOC7IfCWswNE5EygVVWPKrCMA4G5wGCPhf4/3nJWIR6tnw5cUWQ5qvoA8Bx2aoXTDhdndSYC7wL3b4OyZmCjd6cd/lqvgohcCPRU1e8muT+E8C7wGBbD3ITNMl0dRdHmBGX1B54B+nlw/oN4y1mdsdihUEl5I4qiUVEUDcfOL/88dpTzVonDU2uxQ6ecClyc1RkBLM1iGEXRWuys+DNCCJLQbCl2PKNTgYuzOn2BV7IaR1G0HPvbDkpo8nJcplOBi7M6eXTEk7aaW+71zn87XJzVWQ8MyGocQhiMjfaTTk0OiMt0KnBxVmcpMDqLYQhhZ+AXwM+jKEraGo4mYx+3kfGFH9VZjI3Y5ya8v2cIYSnvh5JuAa5MYigiA7ETlX2FUjs8zlkFERkP3Iqtgt9qrLLGsk4FDlfVY4osp4z4a706DwEbsJhlYVRMk84sspyy4uKsQryE7VpgeiygojgU6A38ucAySouLs2NuBvoBJxXhXET6YBvfziq661BWvM/ZCSIyEmgD9lfVFTn6FeA6oIeqFiL+RsBbzk5Q1WXYHPk9IrJbjq4vACYAZ+fos+HwUNJWUNUZ8St4oYhMjgWbCRHZHrgUOAzb4OaB907wljMBqno5tq2iTUQuEJEeaX2IyBgs+cJQbLPc6pyr2XC4OBOiqnOwLcIHApGITI8D6B0iIt1E5FARmQcsAC4HjlbVF4uvcfnxAVEGRGQcFp/8IvAk76ej2Yh1lXbl/XQ0a7Cw1G2q+lqXVLikuDhrQER6Y2lrWrCdlL2Ad4B1WCKvxcBK3/qbDRenU7d4n9OpW1ycTt3i4nTqFhenU7e4OJ26xcXp1C0uTqducXE6dYuL06lbXJxO3eLidOqW/wHMt0IBmWcHyQAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 153.071x96.378 with 1 Axes>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
@@ -571,7 +835,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "P(A)P(M|A)P(D|A)\n"
+      "P(A)P(D|A)P(M|A)\n"
      ]
     }
    ],
@@ -593,7 +857,9 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "[('D', 'M', {'A'})]"
+      "text/plain": [
+       "[('D', 'M', {'A'})]"
+      ]
      },
      "execution_count": 21,
      "metadata": {},
@@ -686,17 +952,56 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bM, bA, a]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 3 seconds.\n"
+      "NUTS: [a, bA, bM, sigma]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:06<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
     }
    ],
    "source": [
@@ -706,7 +1011,7 @@
     "    bM = pm.Normal(\"bM\", 0, 0.5)\n",
     "\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    mu = pm.Deterministic(\"mu\", a + bM * data[\"Marriage_std\"] + bA * data[\"MedianAgeMarriage_std\"])\n",
+    "    mu = pm.Deterministic(\"mu\", a + bM * data[\"Marriage_std\"].values + bA * data[\"MedianAgeMarriage_std\"].values)\n",
     "\n",
     "    divorce_rate_std = pm.Normal(\n",
     "        \"divorce_rate_std\", mu=mu, sigma=sigma, observed=data[\"Divorce_std\"].values\n",
@@ -722,8 +1027,102 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean  ess_sd  \\\na      0.001  0.100  -0.178    0.194      0.002    0.002    3878.0  2070.0   \nbM    -0.060  0.161  -0.369    0.242      0.003    0.002    2388.0  2146.0   \nbA    -0.607  0.159  -0.909   -0.309      0.003    0.002    2338.0  2338.0   \nsigma  0.827  0.089   0.660    0.988      0.002    0.001    3020.0  3020.0   \n\n       ess_bulk  ess_tail  r_hat  \na        3872.0    2982.0    1.0  \nbM       2386.0    2514.0    1.0  \nbA       2347.0    2279.0    1.0  \nsigma    2926.0    2236.0    1.0  ",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n      <th>mcse_mean</th>\n      <th>mcse_sd</th>\n      <th>ess_mean</th>\n      <th>ess_sd</th>\n      <th>ess_bulk</th>\n      <th>ess_tail</th>\n      <th>r_hat</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>a</th>\n      <td>0.001</td>\n      <td>0.100</td>\n      <td>-0.178</td>\n      <td>0.194</td>\n      <td>0.002</td>\n      <td>0.002</td>\n      <td>3878.0</td>\n      <td>2070.0</td>\n      <td>3872.0</td>\n      <td>2982.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>bM</th>\n      <td>-0.060</td>\n      <td>0.161</td>\n      <td>-0.369</td>\n      <td>0.242</td>\n      <td>0.003</td>\n      <td>0.002</td>\n      <td>2388.0</td>\n      <td>2146.0</td>\n      <td>2386.0</td>\n      <td>2514.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>bA</th>\n      <td>-0.607</td>\n      <td>0.159</td>\n      <td>-0.909</td>\n      <td>-0.309</td>\n      <td>0.003</td>\n      <td>0.002</td>\n      <td>2338.0</td>\n      <td>2338.0</td>\n      <td>2347.0</td>\n      <td>2279.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>sigma</th>\n      <td>0.827</td>\n      <td>0.089</td>\n      <td>0.660</td>\n      <td>0.988</td>\n      <td>0.002</td>\n      <td>0.001</td>\n      <td>3020.0</td>\n      <td>3020.0</td>\n      <td>2926.0</td>\n      <td>2236.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>-0.000</td>\n",
+       "      <td>0.100</td>\n",
+       "      <td>-0.184</td>\n",
+       "      <td>0.187</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3702.0</td>\n",
+       "      <td>2905.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bM</th>\n",
+       "      <td>-0.062</td>\n",
+       "      <td>0.160</td>\n",
+       "      <td>-0.383</td>\n",
+       "      <td>0.215</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2309.0</td>\n",
+       "      <td>2469.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bA</th>\n",
+       "      <td>-0.609</td>\n",
+       "      <td>0.157</td>\n",
+       "      <td>-0.908</td>\n",
+       "      <td>-0.317</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2317.0</td>\n",
+       "      <td>2424.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>0.825</td>\n",
+       "      <td>0.087</td>\n",
+       "      <td>0.681</td>\n",
+       "      <td>1.004</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3107.0</td>\n",
+       "      <td>2291.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "a     -0.000  0.100  -0.184    0.187      0.002    0.002    3702.0    2905.0   \n",
+       "bM    -0.062  0.160  -0.383    0.215      0.003    0.002    2309.0    2469.0   \n",
+       "bA    -0.609  0.157  -0.908   -0.317      0.003    0.002    2317.0    2424.0   \n",
+       "sigma  0.825  0.087   0.681    1.004      0.002    0.001    3107.0    2291.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "a        1.0  \n",
+       "bM       1.0  \n",
+       "bA       1.0  \n",
+       "sigma    1.0  "
+      ]
      },
      "execution_count": 25,
      "metadata": {},
@@ -748,10 +1147,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 600x940 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x676.8 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -806,17 +1209,56 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bAM, a]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [a, bAM, sigma]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+     ]
     }
    ],
    "source": [
@@ -825,7 +1267,7 @@
     "    bAM = pm.Normal(\"bAM\", 0, 0.5)\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
     "\n",
-    "    mu = pm.Deterministic(\"mu\", a + bAM * data[\"MedianAgeMarriage_std\"])\n",
+    "    mu = pm.Deterministic(\"mu\", a + bAM * data[\"MedianAgeMarriage_std\"].values)\n",
     "\n",
     "    marriage_std = pm.Normal(\n",
     "        \"Marriage_std\", mu=mu, sigma=sigma, observed=data[\"Marriage_std\"].values\n",
@@ -847,7 +1289,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "mu_m_5_4_mean = m_5_4_trace[\"mu\"].mean(axis=0)\n",
+    "mu_m_5_4_mean = m_5_4_trace.posterior[\"mu\"].mean(dim = ['chain','draw'])\n",
     "residuals = data[\"Marriage_std\"] - mu_m_5_4_mean"
    ]
   },
@@ -855,7 +1297,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.15"
+    "#### 5.15\n",
+    "We can skip most of the code with the posterior predictive plot functionality in pymc"
    ]
   },
   {
@@ -864,35 +1307,59 @@
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/joanna/Dropbox/Sketchbook/python/resources/env/lib/python3.8/site-packages/pymc/sampling.py:1690: 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",
-      "  warnings.warn(\n"
-     ]
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "# We can skip most of the code with the posterior predictive plot functionality in pymc\n",
     "with m_5_3:\n",
     "    m_5_3_ppc = pm.sample_posterior_predictive(\n",
-    "        m_5_3_trace, var_names=[\"mu\", \"divorce_rate_std\"], samples=1000\n",
+    "        m_5_3_trace, var_names=[\"mu\", \"divorce_rate_std\"]\n",
     "    )\n",
     "\n",
     "\n",
-    "mu_mean = m_5_3_ppc[\"mu\"].mean(axis=0)\n",
-    "mu_hpd = az.hdi(m_5_3_ppc[\"mu\"], 0.89)\n",
+    "mu_mean = m_5_3_ppc.posterior_predictive[\"mu\"].mean(dim = ['chain','draw'])\n",
+    "mu_PI = az.hdi(m_5_3_ppc.posterior_predictive[\"mu\"], 0.89)\n",
     "\n",
-    "D_sim = m_5_3_ppc[\"divorce_rate_std\"].mean(axis=0)\n",
-    "D_PI = az.hdi(m_5_3_ppc[\"divorce_rate_std\"], 0.89)"
+    "D_sim = m_5_3_ppc.posterior_predictive[\"divorce_rate_std\"].mean(dim = ['chain','draw'])\n",
+    "D_PI = az.hdi(m_5_3_ppc.posterior_predictive[\"divorce_rate_std\"], 0.89)"
    ]
   },
   {
@@ -909,10 +1376,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 600x600 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -920,8 +1391,8 @@
     "fig, ax = plt.subplots(figsize=(6, 6))\n",
     "plt.errorbar(\n",
     "    data[\"Divorce_std\"].values,\n",
-    "    m_5_3_ppc[\"divorce_rate_std\"].mean(0),\n",
-    "    yerr=np.abs(m_5_3_ppc[\"divorce_rate_std\"].mean(0) - mu_hpd.T),\n",
+    "    D_sim,\n",
+    "    yerr=np.abs(np.array(D_sim) - mu_PI.min(dim = 'hdi').to_array()),\n",
     "    fmt=\"C0o\",\n",
     ")\n",
     "ax.scatter(data[\"Divorce_std\"].values, D_sim)\n",
@@ -942,7 +1413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": []
@@ -961,10 +1432,14 @@
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 1656x1104 with 3 Axes>",
-      "image/png": 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auHlmtoyiKKstDAAAhoDzcSA1wiAAgBrauxBLF55tzWbrOAAA0FvOx4HUCIMAAGpobDSWNm5uazRaxwEAgN5yPg6kRhgEAFBDeZ7F9M5s6QK0NaM8s2ktAAD0gfNxIDWbqi4AAICVTU1mMTHeGkUxNhouPAEAoI+cjwMpEQYBQKKKonTRkoA8zyLPq64CAACGk/NxUuR+wXASBgFAgubmy5iZLaPZbI8zaH2qDQAAABhe7hcML3sGAUBiiuLAiV1ERLMZMTNbRlGU1RYGAAAAVMb9guEmDAKADhVFGbv31O+kae9CLJ3YtTWbreMAAEA91PV6AkiX+wXDzZg4ADiKlWbp1rmtemy0VdPyE7xGo3UcAACo3mrXE/bxAHrJ/YLhpjMIAI5gbr6M7ReVsePS1te5+bL2bdV5nsX0ziwaP/qvfOviMnMxmTifLAUAGAyrXU+8/wPNw649YK1cD7AW7hcMN51BALCK1S7S/vPrVm+rzvP+17mSqcksJsbDpwqHRJ071QAAONhqY5queldEWR7488xsGRPjzuU5OtcDrIf7BcNLZxAArGK1i7TIYulTNG11bKvO8yy2neUTPqmre6caAAAHa49pWi7LDgRBbfbxYC1cD9AJ9wuGkzAIAFax0kVaoxHxpDO0VVMfNgAFABgsK41p+v9eMRgfOKN+XA8Aa9XxmLi/+Iu/iO3bt8djH/vYbtYDALXRukiLQ9rtW6HP1GRoq6YWbAAKADB4VhrT9KgfO3TUlw+ccXSuB4C12lAYdNVVV8Uzn/nMeNGLXhTnnHNONA79CAMADLgjzdLN86w2ewQxvI4UWgIAUF+HXk/Yx4NOuB4A1qrjMOgP/uAP4pprronPfe5zceONN8ZP/MRPxIUXXhjbt2+PsbGxbtYIAJUS+lB3bhwAAKTBtQedcD0ArEXHrTyvfOUr4/rrr4/3vOc9cf7558c999wTV199dfzKr/xK/M7v/E5cd9118YMf/KCbtQIAsAobgAIAwPByPQAcTcedQW2/9Eu/FL/0S78Ui4uL8bGPfSyuueaa+Id/+If44he/GCeddFK84AUviO3bt8epp57ahXIBAAAAAABYj65t8jMyMhIXX3xxzM/Px/vf//6YnJyMf/u3f4u//uu/jgsuuCD+w3/4D/GZz3ymW08HAAAAAADAGnQtDGq7++6747Of/Wx86UtfWjr22Mc+Nv73//7fsWPHjti+fXt8+9vf7vbTAgAAAAAAsIINj4mLiHj44Yfj05/+dHzoQx+Km266KcqyjEc/+tFx8cUXx0te8pI49dRTY8+ePXH11VfHjTfeGG94wxviqquu6sZTAwA1VhSlTUwBAAA4KteP0FsbCoO+8Y1vxIc+9KH4+Mc/Hvv27YuyLOOss86Kiy66KC644ILYvHnz0mPPOuuseNe73hUvfvGL4+abb95w4QCsj5Mq+m1uvoyZ2TKazYhGI2J6Z8TUpLUHALAS5+vAMHP9CL3XcRj00pe+NL785S9HWZZx4oknxktf+tK46KKL4rTTTjvizz3+8Y+Pf/qnf+r0aQHogJMq+q0oDqy5iIhmM2JmtoyJcTc3AAAO5XwdGGauH6E/Og6D9uzZE0984hPjpS99aUxNTcUjH/nINf3ci170ohgfH+/0aQFYJydVVGHvQiytubZms3U8z6upif7xyWYAWDvn61A/zmf7y/Uj9EfHYdA111wTZ5555rp/7qyzzoqzzjqr06cFYJ0G8aSqfeJ9xhk/jEdsPvrjq+QiYWVjo61PtS5fe41G6zhp88lmAFifQTxf5+hcJwwu57P9t5HrR79rsHaNTn+wkyAIgP5rn1QtV+eb8nPzZWy/qIwdl5bxnPPvibn5suqSVrW81u0XlbWutd/yPIvpndnS2mtdRGVOzhO32iebi8LvBgCsZtDO1zk61wmDy/lsNTq9fvS7BuvTcWcQAIOhdVIVh3yyqZ435Vc68X7zW8p45CPLeNKZ9arZOI+jm5rMYmI8fEpriPhkMwCs3yCdr9dB3bsAXCcMNuez1Vnv9aPfNVg/YRDAEBiUm/IrnXiXZcR/fkNEo1HWqj3fRcLa5Hnm9RgixgMCQGcG5Xy9aoMwvst1wmBzPlut9Vw/+l2D9et4TBwAgyXPs9h2Vr0/YbjSiIy2urXnG+cBhzMeEAA6Nwjn61UalPFdrhMGm/PZweF3DdZPGARUrijK2L2nfifx9N+hJ96Han/Kpw5cJMDKpiazuOYDWfz5W1tf6/ZpXQBgMB2pC6BONnqd4Pq4es5nB4Nrclg/Y+KASh3a5r/r8gfj3HOqrooqtUdk/NOtZbz+inq35xvnASszHhAA6LZBGt/V6XXCIIzBGxbOZweDa3JYH51BQGVWavPfdcX9PgFF5HkWv3xOI3ZdfkLtP+VjnAcAAPTeoHUBrPc6YVDG4EHduCaHtdMZBFTGZn8czYUvPC7OPGO/T/kAAABJdwG4Pgag14RBQGUGqc2f6mjPHy5FUSZ5cQ8AQHeken3g+pg210RArxgTB1RmpTb/XZef4GQHhtTcfBnbLypjx6Wtr3PzRmIAADAcBm0MHr3hmgjoJZ1BQKUObfPfuvW4WFx8oOqygD5bbUb6xPiRPw3nU3MAAKQi5TF4HF2n10SDyHUcVEMYBFQu1TZ/YO06mZE+N3/gYqn1ycnWBTQAAAwq18fDa1j2jXIdB9UxJg4AqFx7RvpyR5qRvtqn5orCGAUAAGDwrPeaaBC5joNqCYMAgMqtd0b6kT41BwAAMGiGYd8o13FQLWPiAIBaWM+M9Pan5pZfSKT2qTkAAGC4pL5vlOs4qJbOIAA4iqIoY/cerev9kOdZbDvr6J9+G4ZPzQEAUA+uB+intV4TDSLXcVAtnUEAcAQ2t6yv1D81BwBA9VwPQHe5joPq6AwCgFXY3HJj+vEJypQ/NQcAQLUG5XpA5xKDxnUcVENnEABDqSjKo34S6UibW+Z5H4ocYD5BCQDAoBuE6wHn3elYyzUqwEboDAJg6MzNl7H9ojJ2XNr6Oje/8ifo2ptbLmdzy6MblE9QAgDAkdT9esB5dzrWeo0KsBHCIACGynoumGxu2ZkjfYISAAAGRd2vB5x3p0GoB/SLMXEADJX1jno40uaW2vhX1v4E5fLXuU6foAQAgLVa72b3/bxGcN6dhkEYRwikQWcQDDCbRML6dTLqYaXNLbXxr67un6AEANLnWoluWutm9x/56P+/vXuPl6ouFwf8zuaiIYnoYbA2BpXKUckLBWGSKUqYkEcR07JMzbKfKWkooqV5KwklSy01u5h9Mj15SQ+ImokoecwLdEjzaKnAkcLRI6BIBrjn98ecvbntDfsyM2vNmuf5B/ea2bPfWbNmfN95v5e3qlojyLuzIe3LEQLZYWYQ1CibRELnlAqm2Oj907GCqa1p/MOHmSHUrKMjKAEAykWtRBIKhWJccPGbVa8R5N21rxw1KkB7aAZBDaqnL6Itw0UldLVg6so0/nq6pvP5nGUNAKCT6ilnKKd6qJVcG+mU5FJf8u7ap6kHVINmENSgellP1og+KqkrBVNn1+Z2TQMA7SFn6Lys10qujfSyfw9dpakHVJo9g6AG1cN6sm2N6LPmN2nQmbW5k76mrZsPALUh6Zyh1mW5VnJtpFs+n4sLztumpvbvUSMA1Bczg6AG1cN6slkf0Uft6+g0/iSvaSNIAaB2yIO7Jsu1kmsj/Y4cv3UM2WNVTSz1pUYAqD+aQVCjsr6erCn21IKOTONP6pquh3XzASBL5MFdl9VaybVRG2phqS81AkB9skwc1LB8PhdD98nGKLeNdWYZLkizpK7pzY0gBQDSRx5cHlmslVwblIsaAaA+mRkEpFZWR/RRv5K4po0gBYDaIw+mLa4NykGNAFCfzAwCUi2LI/qob9W+ptM6gtRmtQCwefJg2uLaoKvSWiOUw9KX31ZnALTBzCCABBUKxUyN6sva88mKtI0gXX+z2lwu4v+dXIzPHJOu8SmuZQAAOqsjuWRSeWdrNUKt58ClOmN5NDU1N7hKzxMoj1r/jEAzCCAx638hnoVENWvPJ2vSspHtxpvVFosRP7w2IqIpNQ0h1zIAAJ3VkVwy6bxz/Roh6Vi6auM6o6kpYtr0Ygwf5ktrKIda/4ygJB3fugDUmbYS1Vqdyp6150PltLZZbUTENddFKq4X1zIAAJ219OW3251LpinvTFMsndVandHUVDoOdE0WPiMo0QwCaIdy72+StUQ1a8+HtnX1vTCgsbQ03MaKxXRcL65lAAA6a9GipnbnktXOOzeXx2chBx7QGC17IDVraCgdrxf2ZaVSsvAZQYlmEMAWzJhZjAnHFGPiGaV/Z8zcfGLVngQsa4lq1p4Prevoe6E1+Xwu/t/Jmx5Py/XiWgYAysUXs/Vn4MCGdueS1cw7t5THZyEHzudzMXlSruV5lJaxytXNEnHlqNWgLVn4jKBEMwhgMzo6Fba9CVjWEtUsPB/F+uaVc1r4Z45piFO+vG6GUJqulyxcywBA8nwxW5927N+t3blktfLO9uTxWcmBx43NxW/v2S6uvCIXt96c69R+JrVYF1rCi0rLymcEEd2TDqCSFixYEFdddVXMnz8/1q5dG7vuumscf/zxceihhyYdGlAjNjcVtnmjzWYd3bBy3NhcDB9WeqwBjZvep1Aotnnb5nT297pqS88nzWyEuGUdeS+0x2eOaYiDRyVzrW5JLV/LAEDy6mkj+6Rqj6Rt7nl3JJesRt7Z3jw+Kznwjv27xVY9Oxd7rdaF5a7VoDVZ+Yyod5ltBj366KNx0kknRc+ePWPs2LGxzTbbxH333RdnnHFGLF26NE488cSkQwRqQPNU2PUTq7amwnYmAcvnc63e1tkkNOnkta3nk2b1VKx3RUfeC+2V5uslzbEBAOlWL1/MJl17JKU9z7sjuWSl886O5PH1nAPXcl1YiVoNWlPPnxFZkcll4tauXRvnnXde5HK5+OUvfxkXX3xxTJkyJe68884YNGhQfPe7340lS+xwBWxZR6bClmsN1c5O8TY1vHNshNg+poUDALRPPeytUK+1Ry0+b3l8+9RyXeg1BtorkzODHn300Vi8eHGMHz8+dtttt5bj73znO+PLX/5yTJkyJe6444449dRTE4wSqBXtnQpbSsBio1FiHU/AOjuSsF5GIJabUVTtl7Vp4fW6rAkAUFnlqgvSrF5rj/Y+747mmZXOS7OWx1dCrdeFXmOgPTLZDHrsscciImLkyJGb3NZ87PHHH69qTEBta+9U2HIkYJ1NQv/72U1Ho9VS8pqUeijWy6n5vdC8sWqtFhr1uqwJAFAdWf9itta/OO+s9jzvjuaZ1cpLO7O8Uz0NnspCXWgJL2BLMtkMWrhwYUREDBw4cJPb+vXrF7169YpFixZVOSqgXnQ1AetMElooFOPaH216/Mtf2jBpr6dkviOyXqyXW603Ump5PXAAoHZk+YvZNH5xXo1aZ0vPe+nLb3coz0xzXlrrOX9nqAuBrMtkM2jlypURUVoWrjW9e/eON954o83f79OnTzRsvMAvFde3b9+kQyAlXAsRn/tsxOjRb8fixU3xnvc0xI79u232/s/9ZU00Nb2+yfFhH9o2+vbtERERt93+Vlxw8ZstyfwF5/WKI8dvXZH4y6la10PfvhGDB1flT9W0UoG7fJOCdfToPlu8TruqXNdCa++XpqaIFa+/MwYP7lGWv0Hl+X8FzbJ+LahN2ifr10Et8BqkQzVfh47WLJVUzVpnc8/7D4+taXUZubbyzLTmpUnm/OXQlfeBurB8/H8heV6DdEjT65DJZlBXrVixIukQ6k7fvn1j2bJlSYdBCrgW1tmqZ8QuO5f+e0unZLs+xVaXK+iz7RuxbFkuCoViXHDxhiPOLrj4zRiyx6pUj3ZyPaTP008XWy1wn356RWzVs3LXUjmvhS29X0g/nw00S/paqEZhpzbZsqSvA7wGaZHE69CRmqVSkqh12nreAwdu26E8M615aVI5fzn4PEoHr0PyvAbpUM3XoT21SSaHmPXu3Tsios3ZPytXrmxz1hBALSotV5CL5oHDGy9XsLmNTqEjmtdJX1+trQ+/pfcLAAC1I021zo79u3Uoz0xrXpqFnB+ATWVyZtCgQYMiImLRokUxZMiQDW575ZVXYtWqVbHnnnsmEBlQSfW+H87m1jeu1w1eKb80rg/fGdYDBwAqpd7rkmpLW63T0TwzjXlpVnJ+ADaUyWbQsGHD4rrrrou5c+fG2LFjN7ht7ty5LfcBsqMeN7dsTVub1ErmKac0FqydkeVNnQGAZKhLqi+NtU5H88w05qVZyfkBWCeTzaB99903dtppp5gxY0Ycd9xxsdtuu0VEadm4a6+9Nnr06BGHH354skECZVMorCu4ItZtbjl8mIR1fW0l80Yu0hlpLFgBAJKkLkmOxgUAbFkmm0Hdu3ePSy65JE466aQ49thjY+zYsbHNNtvEfffdF0uWLImzzz47BgwYkHSYQJlsbo1oX1ZvaOMv8I1cBACA8lCXJMtgpfJSKwJkT8OW71KbRowYETfddFMMHTo07r777vjVr34VO+ywQ1xxxRVx4oknJh0eUEY2t+yctkYuFgrFZAMjUwqFYsybv+662vhnAICsUJeQFWrF7Gir/lKXQX3K5MygZnvuuWf8+Mc/TjoMoMLSuEZ0LTBykUrbeDThmNHFuPe3YXQhAJBJ6hKyQq2YDW3N7jLrC+pXpptBQP2wRnTHNY9cXD/JN3KRcmltNOGse9fdbg19ACCL1CVkgVqx9rU1u+t97yvGtOlhbzOoU5ldJg6oP/l8LobuY+Rde5VGLuZalrIwcpFyam004caaRxcCAGSJuoRap1asfW3N7vrTU23P+gKyz8wggDpm5CKV0tpowo0ZXQgAAOmkVqxtbc3u+sAQs76gnpkZBFDnjFykElobTfiJMWF0IQAA1Ai1Yu1qa3bX7rs1mPUFdczMIACgIlobTfjFLxS7NLqwUOja7wMAQNrJeSmHtmZ3mfUF9UszCAComHw+F/l82z93xIyZ6zZBLY1gKxUyAACQFXJeyqmt+qsrdRlQuywTBwCk3tKX324piiNKa1xPm16MQqGYbGAAAFAmhUJRzgtAxWgGAQCpt2hR0wabnEaUiuOXliQTDwAAlNtLS0LOC0DFaAYBAKk3cGBDyyanzRoaSmtcAwBAFgxoDDkvABWjGQSQMYVCMebNr++lBJyD7Nmxf7eYPCnXUhyX1k/P2ewUAEiUvJNyyudzNZfzeg8A1I7uSQcAQPnYbNQ5yLJxY3MxfFhpmYwBjZHqohgAyD55J5VQSzmv9wBAbTEzCCAjbDbqHNSDfD4XQ/dJ9+hIACD75J1UUi3kvN4DALVHMwggI2w26hwAAFAd8k7qnfcAQO3RDALICJuNOgcAAFSHvJN65z0AUHs0gwAyohY3Gy035wAAgGqQd1LvvAcAak/3pAMAoHxqabPRSnEOAACoBnkn9c57AKC2aAYBZEw+n4t8Puko2lYoFCteLKT9HAAAkA3yTurdxu+BatR7AHSOZhAAVTNjZjGmTS9GU1PzMgKl0WTlpPgAAMg+OR+kTzXqPQA6z55BAFRFobCuMIiIaGqKmDa9GIVCsWx/Y8bMYkw4phgTzyj9O2Nm+R4bAIB0kPNB+lSj3gOgazSDAKiKl5ZES2HQrKmpdLwcFB8AANkn54N0qnS9B0DXaQYBUBUDGktLBayvoaF0vByyVnwUCsWYN98XGwAA68tazgdZUel6D7JM/U+1aAYBUBX5fC4mT8q1FAilNaRzZVvjPUvFh6VPAABal6WcD7Kk0vUeZJX6n2rqnnQAANSPcWNzMXxYVGSz31LxERttWFp7xUdbS58MH2ZzZACArOR8kEWVrPcgi9T/VJtmEABVlc/nIp+vzGNnofjY3NInlTpvaVYoFOOlJRF77PF2bNUz6WgAgDTIQs4Hadech3f0PVbJeg+yRv1PtWkGAZAptV58NC99sn5CWK9Ln8yYWVxv1O/ymDwpF+PG+rIHAKj9nA/SbMM8PGLypJCHQwWo/6k2ewYB/B8b9tFV5biGrLVd0tZ0ee9PAAC6otJ1X63XlfJwqB71P9VmZhBAGPlE15XzGrL0ienyAACUX6XrvttufysuuLi260p5OFSX+p9qMjMIyKSOjMYy8omuqsQ1lM/nYug+9TsiqHm6/PpMlwcAoLPaytl/N7upLLVfoVCMCy5+s+brSnk4VF+91/9Uj2YQkDkzZhZjwjHFmHhG6d8ZMzeffG9u5BO0h2uo/EyXBwCgnNrK2b95YbSrbuzs49daTSAPB8guy8QBmdLWaK/hw9qeamvDPrrKNVQZ60+X32OPPrFVz9eTDgkAgBrVWs7erD11Y2cev1ZrAstWAWSTmUFAKnV2083OjMYy8qm6an1D1da4hiqnebr8jv27JR0KACQqizkUVNPGOfvGujqLJ5/PxQXnbZOZmqDay1b5jAOoPDODgNTpyqaenR2NZeRTdVRiw9ZCoZiK1801BABUSqU3vYdqSTp3b87Zn3q6GN+8KKK4Xt+hHLN4jhy/dQzZY5WaoIN8xgFUh5lBQKosffntVpd5a+/ooK7M0LBhX2W1tYRfV0Z+dXR/qEpzDQEA5VaJHAqSkJbcPZ/PxagDG+LsMyszs19N0DE+4wCqx8wgIFUWLWpqc5m3fL59j2GGRjptbgm/9r626+vM/lDUt6RHogJAZ5Q7h4IkpDF3r4e6sRbyX59xANWjGQSkysCBDWXZdDOfz0kcU6bcG6oqGugIS08AUKuytCk99SutuXuW68ZayX99xgFUj2XigMS0tkHkjv27dXqZN9KtK0v4taa5aFhfLqdoYFOWngCglpU7h6omG8LTrLXc3Rf+lVMoFOM7l9dG/lvLn3EAtcbMICARmxulVA/T9etVOV/bUtEQ8Z3Lixts/PrY4xHjxpYhWDIjrSNRAaC9ajE/rpVZCVRHc+6+4TXhC/9K+fVtG9ZIEenOf2vxMw6gFmkGAVW3ufWi+/YtHcvydP311cIazuVWztd2+LANfy4Wk197nPSx9AQAWVBL+XEa94cheZ35wr8e66WuKhSKcfO/b3o87flvLX3GAdQqy8QBVbe5Ufr1ZMbMYkw4phgTzyj9O2Nm+qbsp91LS6LNEW/QzNITAFBd8n3aks/nYug+7cvD1Eud01qNFBFx9FEaagD1zswgoOqM0jdaslxcS7SXpScAoHrkaHSVeqnzWnv/5XIRRx3pvAHUOzODgKozSt9oyXJxLdERHRmJCgB0nhyNrlIvdV5r77+zz/T+A8DMICAh9T5K32jJ8qn3awkAII3kaHSFeqlrvP8AaI2ZQUBi6nmUvtGS5VXP1xIAQFrJ0egs9VLXef8BsDEzgwASYrQWAABA69RLAFBemkEACcrnc5HPJx0FAABA+qiXAKB8LBMHAAAAAACQYZpBAAAAAAAAGaYZBAAbKRSKMW9+MQqFYtKhAAAAGaPeACAJ9gwCgPXMmFmMadOL0dQU0dAQMXlSafNaAACArlJvAJAUM4MA4P8UCusKs4iIpqaIadON2AMAALpOvQFAkjSDAOD/vLQkWgqzZk1NpeMAAABdod4AIEmaQUAqNK+ZvPTlt5MOpaZZe7prBjSWlmpYX0ND6TgAANkml+4456xj1BsAJEkzCEjcjJnFmHBMMSaeUYzRhyyPGTMVEp2x/nmccEzReeyEfD4XkyflWgq00hreucjnreENAJBlcumOc846Tr0BQJK6Jx0AUN/aWjN5+LAoa0JcKBTjpSWlEVdZTLSrdR7rwbixuRg+LDJ9vQAAsI5cuuNaO2ffudw5aw/1BgBJMTOIVDLVvH5UY83kehixZu3p8srnczF0HyP0AAAqIW31nly641o7Z8VixK9vS8drmnbqDQCSoBlE6tTDF/esU+k1k9sa5ZeWwrNcrD0NAEAtSGO9J5fuuAGNEblW+hi3/DoyV2sBQFZoBpEq9fLFPetUes3kehnlZ+1pAADSLq31nly64/L5XBzzqU2PZ7HWAoCssGcQqbK5L+7z+WRiovLWXzN5jz36xFY9Xy/bYzeP8lv/usraKL/m/ZCGD4u49eZcZteezvq+TwAAWZfmes8+Lh131JG5uPnfi1Fcr5eXtVqro5a+/HY8/XTRNdROajyA6tIMIlXq4Yv7rOpqEpfP5yKfj+jbt1ssW1a+uEqj/KJlBGLWRvnNmFnc5LmNG5uN57a+TZ9nZPJ5AgDZVu9ffKa93muuSWiffD4XZ5+Z3Vqro0o1y3I1Szup8QCqTzOIVMn6F/dZlfYkLquj/NpaZmP4sOw8x4j6eZ4AQLalPWeuBvVe9mS11uooNUvHOF8AydAMInUkk7WlVpK4So/yS2KUZ5qX2SinenmeAEB21UrOXA0b13sREfPmW1arlplRpWbpKOcLIBmaQaSSZLJ2SOKSG+WZ9mU2yqVenicAkF1y5g0113tmS5EVapaOcb4AktGQdABAbWtO4tZXT0lcW6M8C4Xi5n+xDErLbORazn9Wl9mol+cJAGRXvefMrUkyj4ZyU7N0jPMFkAwzg4Auqfd1v5Me5VkvyyrWy/MEALKp3nPm1iSdR0O5jRubi9Gj+8TTT69Qs7SDGg+g+jSDgC6r5yQuDdPb62VZxXp5ngBANtVzztyaNOTRUG479u8WW/Ws7/d2R6jxAKrLMnFAWeTzuRi6T/2NbjS9HQCA9qrXnLk18mgAgOoyMwigi4zyBACAjpNHAwBUj2YQQBmY3g4AAB0njwYAqA7LxAEAAAAAAGSYZhAAAAAAAECGaQYBAAAAAABkmGYQAAAAAABAhmkG0apCoRjz5hejUCgmHQoAAAA1TH0JAJC87kkHQPrMmFmMadOL0dQU0dAQMXlSxLixuaTDAgAAoMaoLwEA0sHMoJSr9giqQmFdoh4R0dQUMW26EVxUlpGCAADZIbejmfoSqsvnLwCbY2ZQiiUxguqlJdGSqDdraiodz+cr+qepUxtf5xec91aMOjDpqAAA6AyzQFif+hKqx+cvAFtiZlBKJTWCakBjKWlYX0ND6TiUW2vX+QUXv2kUEwBADTILhI2pL6E6fP4C0B6aQSm1uRFUlZTP52LypFxLwl4aTZKLfN5oEsovqescAIDyk9uxMfUlVIfPXwDawzJxKdU8gmr9/5lXawTVuLG5GD6slDQMaAyJOhWT5HUOAEB5ye1ojfoSKs/nLwDtYWZQSiU9giqfz8XQfYzYorJau84vOG8b1x0AQA1KuoYhvdSXUFk+fwFoDzODUswIKrKiUCi2eR1vfJ0PHrx1LFv2j4QiBQCgK9QwrdtcPgxQDj5/AdgSzaCUy+dzkc8nHQV03oyZ6zayLI1OKiWp63OdAwBkh9xuQ+3JhwHKwecvAJtjmTigYgqFdYVvRGn94mnTi1EoFJMNDAAAqkA+DABAWmgGARXz0pINN7CMKP380pJk4gEAgGqSDwMAkBaaQUDFDGiMlg0smzU0lI4DAEDWyYcBAEgLzSCgYvL5XEyelGspgEtrpOdsZAkAQF2QDwMAkBbdkw4AyLZxY3MxfFhpKYwBjaHwBQCgrsiHAQBIA80goOLy+Vzk80lHAQAAyZAPAwCQNMvEAalTKBRj3vxiFArFpENpt1qMOW2cQwAAqH3y+spL6hx7bQFqm5lBQKrcdvtbccHFxWhqal5TvbS0RprNmFmMadNrK+a0cQ4BAKD2yesrL6lz7LUFqH1mBgGpUSgU44KL34ymptLPTU0R06ane9RRobAuIY6ojZjTxjkEAIDaJ6+vvKTOsdcWIBsyNzNozZo18cADD8QDDzwQCxYsiKVLl0ZExM477xxHHHFEHH300dGtW7eEowRa89KSaEkumzU1lY6ndY31Wow5bTZ3DgcPTiYmAACgY9RGlZfUOfbaAmRD5ppBixcvjokTJ0avXr1i3333jVGjRsUbb7wRs2fPjgsvvDAeeuihuOaaayKXM5UV0mZAY2m6+fpJZkND6Xha1WLMaeMcAgBA7ZPXV15S59hrC5ANmVsmrnfv3nH++efH73//+/jhD38YZ511Vlx00UVx7733xpAhQ2L27Nlxzz33JB0m0Ip8PhcXnLdNNPzfJ1NpHeJc5PPpbd7m87mYPClXUzGnjXMIAAC1T15feUmdY68tQDZkbmZQ//7949hjj93keK9eveKEE06ISZMmxeOPPx6f+MQnEogO2JIjx28dQ/ZYFS8tKY0yqoXkctzYXAwfFjUVc9o4hwAAUPvk9ZWX1Dn22gLUvsw1gzane/fS07VnEKRbPp+ruXWHazHmtHEOAQCg9snrKy+pc+y1BahtmVsmbnNuu+22iIgYOXJkwpEAAAAAAABUR65YLBaTDqIabrnlljj//PNjxIgR8fOf/3yz921qaoqGhrrqkwEAACmkNgEAAMohtc2gqVOnxurVq9t9/+OOOy4GDRrU6m2zZ8+O0047LfL5fNx8882R38Kc1mXLlnUkVMqgb9++zjsR4VpgQ64HmrkWWJ/rgWZJXwt9+/at+N9wrW9Z0tcBXoO08Dokz2uQPK9BOngdkuc1SIdqvg7tqU1Su2fQLbfcEqtWrWr3/ceMGdNqM2jOnDkxceLE2GGHHeLnP//5FhtBAAAAAAAAWZLaZtD8+fO7/BgPPvhgnHbaadG3b9+48cYbY6eddipDZAAAAAAAALUjs4tPNzeC+vTpEzfeeGMMHDgw6ZAAAAAAAACqLpPNoDlz5mzQCGprLyEAAAAAAICsS+0ycZ31/PPPx6mnnhqrV6+O4cOHx8yZMze5T2NjY4wfPz6B6AAAAAAAAKorc82gV199NVavXh0R0WojKCJi+PDhmkEAAAAAAEBdyFwz6MMf/nA8++yzSYcBAAAAAACQCpncM4jqKRSKMW9+MQqFYtKhAAAAFSLvBwCA2pa5mUFUz4yZxZg2vRhNTRENDRGTJ0WMG5tLOixSoFAoxktLIgY0RuTzrgkAgFom74f6pbYDgOwwM4hOKRTWFYQREU1NEdOmGylI6cuCCccUY+IZpX9nzHRNAADUKnk/1C+1HQBki2YQnfLSkmgpCJs1NZWOU798WdA5ll0BANJK3g/1SW2XTmpHALrCMnF0yoDG0hIR6xeGDQ2l49SvzX1ZkM8nE1PaWXYFAEgzeT/UJ7Vd+qgdAegqM4PolHw+F5Mn5aLh/66gUiKSs4ZwnWv+smB9XfmyIOujnoy2AwDSTt4P9anctV3apb32VDsCUA5mBtFp48bmYviwsJkkLUpfFsRGo5U692VBLYx66upmqkbbAQC1QN4P9aectV3adbX2XL8u7Nu3MjGqHQEoB80guiSfz0k82EA5vixoa9TT8GHp+fKhHM0qy64AALVC3g/1px4awV2tPTeuCy84760YdWD541Q7AlAOlokDyi6fz8XQfTo/aiztGxWXa4q+ZVcAAIA062ptl3ZdqT1bqwsvuPjNiizdpnYEoBzMDAJSJ+2jnso5Rb8eRtsBAACkUVdqz2ov3aZ2BKCrzAwCUifto57KvZlq1kfbAQAApFFXas9y14XtoXYEoCvMDAJSKc2jnuppM1UAAIAs62zt2VpdeMF520Q+/48KRwwAnaMZBKRWmjcqTnOzCgAAgPbrbO25cV04ePDWsWyZZhAA6aQZBNBJaW5WAQAAUHnqQgBqhT2DAAAAAAAAMkwzCAAAAAAAIMM0gwAAAAAAADJMMwgAAAAAACDDNIOoukKhGPPmF6NQKCYdCgAAANBJ6nsAqB3dkw6A+jJjZjGmTS9GU1NEQ0PE5EkR48bmkg4LAAAA6AD1PQDUFjODqJpCYV2iGBHR1BQxbboRRAAAAFBL1PcAUHs0g6ial5ZES6LYrKmpdBwAAACoDep7AKg9mkFUzYDG0tTx9TU0lI4DAAAAtUF9DwC1RzOIqsnnczF5Uq4lYSytKZyLfN6awgAAAFAr1PcAUHu6Jx0A9WXc2FwMH1aaOj6gMSSKCSsUil4LAACATqj3ekp9DwC1RTOIqsvnc5HPJx0FM2au2/CzNIqrlMwDAACweeqpEvU9ANQOy8RBHSoU1hUuEaWNPqdNL0ahUEw2MAAAgJRTTwEAtUgzCOrQS0uipXBp1tRUOg4AAEDb1FMAQC3SDII6NKAxWjb6bNbQUDoOAABA29RTAEAt0gyCOpTP52LypFxLAVNa4zpnw08AAIAtUE8BALWoe9IBAMkYNzYXw4eVljIY0BgKFwAAgHZSTwEAtUYzCOpYPp+LfD7pKAAAAGqPegoAqCWWiQMAAAAAAMgwzSAAAAAAAIAM0wwCAAAAAADIMM0gAAAAAACADNMMAgAAAAAAyDDNIAAAAAAAgAzTDAIAAAAAAMgwzSAAAAAAAIAM0wwCAAAAAADIMM0gAAAAAACADNMMAgAAAAAAyDDNIAAAAAAAgAzTDAIAAAAAAMgwzSAAAAAAAIAM0wwCAAAAAADIMM0gAAAAAACADNMMAgAAAAAAyDDNIAAAAAAAgAzTDAIAAAAAAMgwzSAAAAAAAIAM0wwCAAAAAADIMM0gAAAAAACADNMMAgAAAAAAyDDNIAAAAAAAgAzTDAIAAAAAAMgwzSAAAAAAAIAM0wwCAAAAAADIMM0gAAAAAACADNMMAgAAAAAAyDDNIAAAAAAAgAzTDIIqKhSKMW9+MQqFYtKhAAAAQNmodwEg3bonHQBUSqFQjJeWRAxojMjnc0mHEzNmFmPa9GI0NUU0NERMnhQxbmzycQEAACQhbTUbnafeBYD0MzOITJoxsxgTjinGxDNK/86YmezIpEJhXWIcEdHUFDFtuhFTAABAfUpbzUbnqXcBoDZoBpE5aUxEX1oSLfE0a2oqHQcAAKgnaazZ6Dz1LgDUBs0gMieNieiAxtJU+fU1NJSOAwAA1JM01mx0nnoXAGqDZhCZk8ZENJ/PxeRJuZa4Smso56yLDQAA1J001mx0nnoXAGpD96QDgHIrJaKx0eaVySei48bmYviwsEEqAABQ19Jas9F56l0ASD/NIDIprYloPp+LfD7pKAAAAJKV1pqNzlPvAkC6aQaRWRJRAACA9FKzAQBUjz2DAAAAAAAAMkwzCAAAAAAAIMM0gwAAAAAAADJMMwgAAAAAACDDNIMAAAAAAAAyTDMIAAAAAAAgwzSDAAAAAAAAMkwzCAAAAAAAIMM0gwAAAAAAADJMMwgAAAAAACDDNIMAAAAAAAAyTDMIAAAAAAAgwzSDAAAAAAAAMkwzCAAAAAAAIMM0gwAAAAAAADJMMwgAAAAAACDDNIMAAAAAAAAyTDMIAAAAAAAgwzSDAAAAAAAAMixXLBaLSQcBAAAAAABAZZgZBAAAAAAAkGGaQQAAAAAAABmmGQQAAAAAAJBhmkEAAAAAAAAZphkEAAAAAACQYd2TDgCarVmzJh544IF44IEHYsGCBbF06dKIiNh5553jiCOOiKOPPjq6deuWcJRU0zPPPBOzZs2Kp59+Op5++ulYtmxZDB8+PH7xi18kHRoVtGDBgrjqqqti/vz5sXbt2th1113j+OOPj0MPPTTp0KiiO++8M5588sl46qmn4rnnnos1a9bEpZdeGuPHj086NKrs5ZdfjlmzZsVDDz0UL7zwQrz66qvRp0+fGDp0aJx00kmx1157JR0iVfLPf/4zvvvd78ZTTz0VixYtihUrVsS2224bO+20Uxx11FFx2GGHRY8ePZIOk4Tdddddce+998azzz4b//u//xsREe9+97tjv/32iy984QvRv3//hCPMNjVdOqijqkv9kix1Q/Lk68mTJ6fXj370o5g+fXpERNxyyy2x9957JxqPZhCpsXjx4pg4cWL06tUr9t133xg1alS88cYbMXv27LjwwgvjoYceimuuuSZyuVzSoVIl999/f1x33XXRo0ePeO973xvLli1LOiQq7NFHH42TTjopevbsGWPHjo1tttkm7rvvvjjjjDNi6dKlceKJJyYdIlXy/e9/P5YsWRJ9+/aNfD4fS5YsSTokEvKLX/wirr/++njPe94T++23X2y//faxaNGiuP/+++P++++P6dOn+7KlTrz55pvxq1/9Kvbcc8844IADYvvtt48VK1bEww8/HOeee27cfffdcf3110dDg8UP6tndd98dCxcujL322ivy+XwUi8V45pln4sYbb4w77rgjbrrppthll12SDjOz1HTpoI6qHvVL8tQNyZOvJ0+enE7PPfdcXHXVVdGrV69YtWpV0uFERESuWCwWkw4CIkojCe6///444ogjolevXi3HV61aFZ/73Ofiqaeeiu9973vxiU98IsEoqaa//OUvsXr16th1111j+fLlMXLkSCPaMmzt2rXxiU98IpYuXRr//u//HrvttltERLzxxhsxYcKEWLJkSdx7773R2NiYcKRUwyOPPBIDBw6MxsbGlpE0RvjVp/vuuy+22267GD58+AbHn3jiiTj++OOjV69eMXfu3OjZs2dCEVItTU1NsXbt2k1e67Vr18YJJ5wQjz32WFx33XVxwAEHJBMgqfDPf/4zttpqq02O//rXv45vfOMbMWbMmLjyyisTiKw+qOnSQR1VHeqXdFA3JE++njx5cvqsWbMmjj766OjevXsMHDgw7rrrrlTMDNIOJDX69+8fxx577AZFQ0REr1694oQTToiIiMcffzyJ0EjILrvsEnvssYeprHXi0UcfjcWLF8e4ceNaCqmIiHe+853x5S9/OdasWRN33HFHghFSTR/5yEcUzkRExMc//vFNCsuIiA996EPx4Q9/OFasWBHPPvtsApFRbQ0NDa1+idC9e/cYPXp0REQsWrSo2mGRMq01giKipfmwePHiaoZTd9R06aCOqg71SzqoG5InX0+ePDl9rr322vjLX/4S3/72t1O1RK5mEDWhe/fSioZpevMA5fXYY49FRMTIkSM3ua35mC8PgPU15wfN/1Kfmpqa4uGHH46IiF133TXhaEirBx98MCLCEnEJUtORNeoX2DL5erLkycl4+umn49prr41TTz01dt5556TD2YB3IjXhtttui4jWkywgGxYuXBgREQMHDtzktn79+kWvXr2MZAFa/O1vf4tHHnkk+vXrp7CpM6tXr47rrrsuisViLF++PP7zP/8zXnjhhRg/fnzsu+++SYdHStx9993x/PPPxz/+8Y/461//GnPnzo0BAwbExIkTkw6tbqnpyBr1C2yefL365MnJW716dZx99tnxr//6r3HSSSclHc4mNINIvVtuuSUeeuihGDFiRHzsYx9LOhygQlauXBkRpWUVWtO7d+944403qhkSkFJr1qyJyZMnx+rVq+PMM880yrzOrFmzJq6++uqWn3O5XJx44okxadKkBKMibe6555649957W34eMmRIXHHFFbHTTjslGFX9UtORReoXaJt8PRny5OR9//vfj4ULF8btt9+eyuteM4iymzp1aqxevbrd9z/uuONi0KBBrd42e/bsuPjii6OxsTEuu+yyMkVINZXzegCApqammDJlSjz++OPxqU99Kg4//PCkQ6LKttlmm3j22WejqakpCoVCPPDAA3HFFVfEH//4x7j++uujd+/eSYdIF5Ujf7zyyisjIuL111+PP//5z/G9730vxo8fH1dddZWRse2gpkueOgqoVfL15MiTkzV//vz46U9/GqeeempqZ8NpBlF2t9xyS6xatard9x8zZkyrSeucOXNi4sSJscMOO8TPf/7zyOfzZYySainX9UD2NSclbY2eW7lyZfTp06eaIQEp09TUFOeee27MmDEjDjvssLjwwguTDokENTQ0xI477hif+cxnom/fvnH66afHNddcE2eddVbSodFF5cwft9122xgxYkT8+Mc/jkMOOSTOPvvs+N3vfhc9evQoU7TZpKZLnjoq/dQvsCn5ejrIk6tv7dq1MWXKlBg8eHB86UtfSjqcNmkGUXbz58/v8mM8+OCDcdppp0Xfvn3jxhtvtJxDDSvH9UB9aC5eFy1aFEOGDNngtldeeSVWrVoVe+65ZwKRAWnQ1NQU55xzTvzmN7+JcePGxdSpU6OhoSHpsEiJ5j1ImjfzprZVIn/s3bt37LXXXnH//ffH4sWL4/3vf3/Z/0aWqOmSp45KP/ULbEi+nk7y5OpYtWpVy15yG/8/odnRRx8dERE/+MEP4uCDD65WaBvQDCJ1mouGPn36xI033tjqZoxA9gwbNiyuu+66mDt3bowdO3aD2+bOndtyH6D+rF9YHnrooTFt2rRUrr9McgqFQkREdO+uvKFtrpPqUdNRD9QvsI58Pb3kP9XRs2fPmDBhQqu3PfHEE7Fw4cIYNWpUbL/99tHY2Fjl6NZxFZAqc+bM2aBoMM0d6se+++4bO+20U8yYMSOOO+642G233SKitOzCtddeGz169LDWMNSh5qUmfvOb38QhhxwSl112mcKyTv31r3+NxsbGeMc73rHB8X/84x9x6aWXRkTYmL7OrVy5MgqFQrzvfe/b5LZbb701FixYEIMGDdKYqDA1HfVC/QIl8vXkyZOTt/XWW8e3vvWtVm+bMmVKLFy4ME4++eTYe++9qxvYRjSDSI3nn38+Tj311Fi9enUMHz48Zs6cucl9GhsbY/z48QlERxKef/75uP766yMi4q233oqIiBdeeCGmTJnScp+pU6cmEhvl171797jkkkvipJNOimOPPTbGjh0b22yzTdx3332xZMmSOPvss2PAgAFJh0mV/PrXv44nn3wyIiKee+65lmPNU9s/+MEPxlFHHZVYfFTPD37wg7jjjjuiV69eMWjQoLjmmms2uc/BBx/c8gUM2TVr1qz42c9+Fh/84AejsbExevfuHS+//HI89NBDsXz58vjQhz4Uxx9/fNJhkqDly5fHoYceGkOGDIn3ve990b9//1ixYkU89dRT8fTTT0fv3r3ljhWmpksHdVR1qF/SQd2QPPl68uTJtJdmEKnx6quvxurVqyMiWi0aIiKGDx+ucKgjr776atxxxx2bPaaIyZYRI0bETTfdFFdeeWXcfffdsXbt2th1113jzDPPjEMPPTTp8KiiJ598cpP3/7x582LevHktPyvq6sOSJUsiorQG87XXXtvqfRobGxWXdeCAAw6IQqEQ8+fPjz/+8Y+xatWq6N27dwwePDjGjh0bRx55pOUv6tz2228fp5xySjz22GPxyCOPxPLly6NHjx7R2NgYxx9/fJxwwgmx4447Jh1mpqnp0kEdVT3ql+SpG5InX0+ePJn2yhWLxWLSQQAAAAAAAFAZDUkHAAAAAAAAQOVoBgEAAAAAAGSYZhAAAAAAAECGaQYBAAAAAABkmGYQAAAAAABAhmkGAQAAAAAAZJhmEAAAAAAAQIZpBgEAAAAAAGSYZhAAAAAAAECGaQYBQIrcfvvtMXjw4LjqqquSDgUAAACAjNAMAgAAAAAAyDDNIAAAAAAAgAzTDAIAAACAdjj99NNj8ODBMW3atE1ue/HFF2OfffaJffbZJxYuXNjhx543b16ccsopceCBB8aQIUNiv/32iwkTJsTll18eb775Zsv91l9a+oUXXojTTjstPvzhD8fee+8dxxxzTMyZM2eTx/7DH/4QgwcPjilTprT6t6dMmRKDBw+OP/zhDxscHzx4cIwaNSpWr14dV199dRxyyCExZMiQOOWUUzr8/ABIlmYQADWlUsXX+sXRK6+8El//+tdj//33j9133z1uuOGGlvv9/e9/j4suuigOPvjg+MAHPhDDhw+Pk08+OebNm7fJYxaLxZgxY0acccYZMWbMmNh7771jn332iQkTJsQvf/nLaGpq6ujTBwAAEnThhRfGjjvuGD/72c/i0UcfbTm+Zs2aOPPMM2PVqlVx7rnnxqBBgzr0uA888EAce+yx8cADD0S/fv3i4x//eOy2226xYsWKuP7662PZsmWb/M7ixYvjU5/6VPz5z3+O/fbbL4YMGRJ//OMf4+STT47bbrutq0+1RVNTU3zlK1+Jn/zkJ/Ge97wnDjrooOjXr1/ZHh+A6uiedAAA0BEXXnhhzJ8/P372s5/F/vvvHyNGjIiIDYuvSy65pMPFV7P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\n",
+      "text/plain": [
+       "<Figure size 993.6x662.4 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -986,7 +1461,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0.02264406,  1.54980162,  0.04897436,  1.65512283, -0.26698927,\n",
+       "        0.89154405, -0.79359532,  0.78622284, -0.63561351, -0.81992563,\n",
+       "        0.52291981,  1.26016829,  1.49714101, -0.5829529 , -0.08267715,\n",
+       "        0.364938  ,  0.52291981,  0.54925012,  0.12796527, -1.74148622,\n",
+       "       -0.47763169, -1.13588926, -0.95157714, -1.26754077, -0.21432866,\n",
+       "       -0.39864078, -0.42497109, -0.13533776, -0.89891654, -1.39919229,\n",
+       "        0.07530467, -0.87258623,  0.07530467,  1.73411374, -0.84625593,\n",
+       "        0.97053496, -0.31964988, -1.21488017, -1.34653168, -0.5302923 ,\n",
+       "       -0.00368624, -0.18799836,  0.364938  ,  2.49769252, -0.97790744,\n",
+       "        0.10163497,  0.33860769,  0.54925012, -0.76726502,  2.78732585])"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[\"Marriage_std\"].values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -995,18 +1499,81 @@
      "text": [
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [aM, bAM, sigma_m, a, bM, bA, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 3 seconds.\n"
+      "Sequential sampling (1 chains in 1 job)\n",
+      "NUTS: [sigma, bA, bM, a, sigma_m, bAM, aM]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
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+      "text/html": [
+       "\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",
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+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='0' class='progress-bar-interrupted' max='2000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      Interrupted\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\mason\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\quadpotential.py:258: RuntimeWarning: divide by zero encountered in true_divide\n",
+      "  np.divide(1, self._stds, out=self._inv_stds)\n",
+      "C:\\Users\\mason\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\quadpotential.py:237: RuntimeWarning: invalid value encountered in multiply\n",
+      "  return np.multiply(self._var, x, out=out)\n"
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "Mass matrix contains zeros on the diagonal. \nThe derivative of RV `sigma_log__`.ravel()[[]] is zero.\nThe derivative of RV `bA`.ravel()[[]] is zero.\nThe derivative of RV `bM`.ravel()[[]] is zero.\nThe derivative of RV `a`.ravel()[[]] is zero.\nThe derivative of RV `sigma_m_log__`.ravel()[[]] is zero.\nThe derivative of RV `bAM`.ravel()[[0]] is zero.\nThe derivative of RV `aM`.ravel()[[]] is zero.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [44]\u001b[0m, in \u001b[0;36m<cell line: 9>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     23\u001b[0m mu_M \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mDeterministic(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmu_m\u001b[39m\u001b[38;5;124m\"\u001b[39m, aM \u001b[38;5;241m+\u001b[39m bAM \u001b[38;5;241m*\u001b[39m marriage_shared)\n\u001b[0;32m     24\u001b[0m marriage \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmarriage\u001b[39m\u001b[38;5;124m\"\u001b[39m, mu_M, sigma_M, observed\u001b[38;5;241m=\u001b[39mdata[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMarriage_std\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[1;32m---> 26\u001b[0m m5_3_A_trace \u001b[38;5;241m=\u001b[39m \u001b[43mpm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchains\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:649\u001b[0m, in \u001b[0;36msample\u001b[1;34m(draws, step, init, n_init, initvals, trace, chain_idx, chains, cores, tune, progressbar, model, random_seed, discard_tuned_samples, compute_convergence_checks, callback, jitter_max_retries, return_inferencedata, idata_kwargs, mp_ctx, **kwargs)\u001b[0m\n\u001b[0;32m    647\u001b[0m         _log\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSequential sampling (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mchains\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m chains in 1 job)\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    648\u001b[0m         _print_step_hierarchy(step)\n\u001b[1;32m--> 649\u001b[0m         mtrace \u001b[38;5;241m=\u001b[39m _sample_many(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msample_args)\n\u001b[0;32m    651\u001b[0m t_sampling \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m-\u001b[39m t_start\n\u001b[0;32m    652\u001b[0m \u001b[38;5;66;03m# count the number of tune/draw iterations that happened\u001b[39;00m\n\u001b[0;32m    653\u001b[0m \u001b[38;5;66;03m# ideally via the \"tune\" statistic, but not all samplers record it!\u001b[39;00m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:763\u001b[0m, in \u001b[0;36m_sample_many\u001b[1;34m(draws, chain, chains, start, random_seed, step, callback, **kwargs)\u001b[0m\n\u001b[0;32m    761\u001b[0m traces: List[BaseTrace] \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m    762\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(chains):\n\u001b[1;32m--> 763\u001b[0m     trace \u001b[38;5;241m=\u001b[39m _sample(\n\u001b[0;32m    764\u001b[0m         draws\u001b[38;5;241m=\u001b[39mdraws,\n\u001b[0;32m    765\u001b[0m         chain\u001b[38;5;241m=\u001b[39mchain \u001b[38;5;241m+\u001b[39m i,\n\u001b[0;32m    766\u001b[0m         start\u001b[38;5;241m=\u001b[39mstart[i],\n\u001b[0;32m    767\u001b[0m         step\u001b[38;5;241m=\u001b[39mstep,\n\u001b[0;32m    768\u001b[0m         random_seed\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01mif\u001b[39;00m random_seed \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m random_seed[i],\n\u001b[0;32m    769\u001b[0m         callback\u001b[38;5;241m=\u001b[39mcallback,\n\u001b[0;32m    770\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[0;32m    771\u001b[0m     )\n\u001b[0;32m    772\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m trace \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    773\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(traces) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:909\u001b[0m, in \u001b[0;36m_sample\u001b[1;34m(chain, progressbar, random_seed, start, draws, step, trace, tune, model, callback, **kwargs)\u001b[0m\n\u001b[0;32m    907\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m    908\u001b[0m     strace \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m--> 909\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m it, (strace, diverging) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(sampling):\n\u001b[0;32m    910\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m it \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m skip_first \u001b[38;5;129;01mand\u001b[39;00m diverging:\n\u001b[0;32m    911\u001b[0m             _pbar_data[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivergences\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\fastprogress\\fastprogress.py:47\u001b[0m, in \u001b[0;36mProgressBar.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m     45\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m     46\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mon_interrupt()\n\u001b[1;32m---> 47\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m e\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\fastprogress\\fastprogress.py:41\u001b[0m, in \u001b[0;36mProgressBar.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m     39\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtotal \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate(\u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m     40\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 41\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m i,o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgen):\n\u001b[0;32m     42\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtotal: \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[0;32m     43\u001b[0m         \u001b[38;5;28;01myield\u001b[39;00m o\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:1056\u001b[0m, in \u001b[0;36m_iter_sample\u001b[1;34m(draws, step, start, trace, chain, tune, model, random_seed, callback)\u001b[0m\n\u001b[0;32m   1054\u001b[0m     step \u001b[38;5;241m=\u001b[39m stop_tuning(step)\n\u001b[0;32m   1055\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m step\u001b[38;5;241m.\u001b[39mgenerates_stats:\n\u001b[1;32m-> 1056\u001b[0m     point, stats \u001b[38;5;241m=\u001b[39m \u001b[43mstep\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpoint\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1057\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m strace\u001b[38;5;241m.\u001b[39msupports_sampler_stats:\n\u001b[0;32m   1058\u001b[0m         strace\u001b[38;5;241m.\u001b[39mrecord(point, stats)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\arraystep.py:286\u001b[0m, in \u001b[0;36mGradientSharedStep.step\u001b[1;34m(self, point)\u001b[0m\n\u001b[0;32m    284\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstep\u001b[39m(\u001b[38;5;28mself\u001b[39m, point):\n\u001b[0;32m    285\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_logp_dlogp_func\u001b[38;5;241m.\u001b[39m_extra_are_set \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m--> 286\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpoint\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\arraystep.py:208\u001b[0m, in \u001b[0;36mArrayStepShared.step\u001b[1;34m(self, point)\u001b[0m\n\u001b[0;32m    204\u001b[0m     shared_var\u001b[38;5;241m.\u001b[39mset_value(point[name])\n\u001b[0;32m    206\u001b[0m q \u001b[38;5;241m=\u001b[39m DictToArrayBijection\u001b[38;5;241m.\u001b[39mmap({v\u001b[38;5;241m.\u001b[39mname: point[v\u001b[38;5;241m.\u001b[39mname] \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvars})\n\u001b[1;32m--> 208\u001b[0m step_res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastep\u001b[49m\u001b[43m(\u001b[49m\u001b[43mq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    210\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgenerates_stats:\n\u001b[0;32m    211\u001b[0m     apoint, stats \u001b[38;5;241m=\u001b[39m step_res\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\base_hmc.py:165\u001b[0m, in \u001b[0;36mBaseHMC.astep\u001b[1;34m(self, q0)\u001b[0m\n\u001b[0;32m    161\u001b[0m check_test_point \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masarray(\u001b[38;5;28mlist\u001b[39m(check_test_point_dict\u001b[38;5;241m.\u001b[39mvalues()))\n\u001b[0;32m    162\u001b[0m error_logp \u001b[38;5;241m=\u001b[39m check_test_point[\n\u001b[0;32m    163\u001b[0m     (np\u001b[38;5;241m.\u001b[39mabs(check_test_point) \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1e20\u001b[39m) \u001b[38;5;241m|\u001b[39m np\u001b[38;5;241m.\u001b[39misnan(check_test_point)\n\u001b[0;32m    164\u001b[0m ]\n\u001b[1;32m--> 165\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpotential\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_ok\u001b[49m\u001b[43m(\u001b[49m\u001b[43mq0\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpoint_map_info\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    166\u001b[0m message_energy \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m    167\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBad initial energy, check any log probabilities that \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    168\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mare inf or -inf, nan or very small:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(error_logp\u001b[38;5;241m.\u001b[39mto_string())\n\u001b[0;32m    169\u001b[0m )\n\u001b[0;32m    170\u001b[0m warning \u001b[38;5;241m=\u001b[39m SamplerWarning(\n\u001b[0;32m    171\u001b[0m     WarningType\u001b[38;5;241m.\u001b[39mBAD_ENERGY,\n\u001b[0;32m    172\u001b[0m     message_energy,\n\u001b[0;32m    173\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcritical\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    174\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miter_count,\n\u001b[0;32m    175\u001b[0m )\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\quadpotential.py:308\u001b[0m, in \u001b[0;36mQuadPotentialDiagAdapt.raise_ok\u001b[1;34m(self, map_info)\u001b[0m\n\u001b[0;32m    305\u001b[0m         errmsg\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe derivative of RV `\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m`.ravel()[\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mindex\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] is zero.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    306\u001b[0m         last_idx \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m arr_len\n\u001b[1;32m--> 308\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(errmsg))\n\u001b[0;32m    310\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39many(\u001b[38;5;241m~\u001b[39mnp\u001b[38;5;241m.\u001b[39misfinite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_stds)):\n\u001b[0;32m    311\u001b[0m     errmsg \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMass matrix contains non-finite values on the diagonal. \u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
+      "\u001b[1;31mValueError\u001b[0m: Mass matrix contains zeros on the diagonal. \nThe derivative of RV `sigma_log__`.ravel()[[]] is zero.\nThe derivative of RV `bA`.ravel()[[]] is zero.\nThe derivative of RV `bM`.ravel()[[]] is zero.\nThe derivative of RV `a`.ravel()[[]] is zero.\nThe derivative of RV `sigma_m_log__`.ravel()[[]] is zero.\nThe derivative of RV `bAM`.ravel()[[0]] is zero.\nThe derivative of RV `aM`.ravel()[[]] is zero."
+     ]
     }
    ],
    "source": [
@@ -1014,7 +1581,7 @@
     "data[\"Marriage_std\"] = standardize(data[\"Marriage\"])\n",
     "data[\"MedianAgeMarriage_std\"] = standardize(data[\"MedianAgeMarriage\"])\n",
     "\n",
-    "# Use Theano shared variables so we can change them later\n",
+    "# Use Aesara shared variables so we can change them later\n",
     "marriage_shared = shared(data[\"Marriage_std\"].values)\n",
     "age_shared = shared(data[\"MedianAgeMarriage_std\"].values)\n",
     "\n",
@@ -1026,16 +1593,16 @@
     "\n",
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
     "    mu = pm.Deterministic(\"mu\", a + bA * age_shared + bM * marriage_shared)\n",
-    "    divorce = pm.Normal(\"divorce\", mu, sigma, observed=data[\"Divorce_std\"])\n",
+    "    divorce = pm.Normal(\"divorce\", mu, sigma, observed=data[\"Divorce_std\"].values)\n",
     "\n",
     "    # A -> M\n",
     "    sigma_M = pm.Exponential(\"sigma_m\", 1)\n",
     "    bAM = pm.Normal(\"bAM\", 0, 0.5)\n",
     "    aM = pm.Normal(\"aM\", 0, 0.2)\n",
-    "    mu_M = pm.Deterministic(\"mu_m\", aM + bAM * age_shared)\n",
-    "    marriage = pm.Normal(\"marriage\", mu_M, sigma_M, observed=data[\"Marriage_std\"])\n",
+    "    mu_M = pm.Deterministic(\"mu_m\", aM + bAM * marriage_shared)\n",
+    "    marriage = pm.Normal(\"marriage\", mu_M, sigma_M, observed=data[\"Marriage_std\"].values)\n",
     "\n",
-    "    m5_3_A_trace = pm.sample()"
+    "    m5_3_A_trace = pm.sample(chains = 1)"
    ]
   },
   {
@@ -1047,14 +1614,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "(50,)"
+      "text/plain": [
+       "(50,)"
+      ]
      },
-     "execution_count": 34,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1074,16 +1643,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "ename": "NameError",
+     "evalue": "name 'm5_3_A_trace' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [37]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m age_shared\u001b[38;5;241m.\u001b[39mset_value(A_seq)\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[1;32m----> 7\u001b[0m     m5_3_M_marriage \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\u001b[43mm5_3_A_trace\u001b[49m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
+     ]
     }
    ],
    "source": [
@@ -1105,15 +1677,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'm5_3_M_marriage' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [38]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m _, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m4\u001b[39m))\n\u001b[1;32m----> 2\u001b[0m az\u001b[38;5;241m.\u001b[39mplot_hdi(A_seq, \u001b[43mm5_3_M_marriage\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m], ax\u001b[38;5;241m=\u001b[39max[\u001b[38;5;241m0\u001b[39m])\n\u001b[0;32m      3\u001b[0m ax[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mplot(A_seq, m5_3_M_marriage[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mmean(\u001b[38;5;241m0\u001b[39m))\n\u001b[0;32m      4\u001b[0m ax[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTotal counterfactual effect of A on D\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_M_marriage' is not defined"
+     ]
+    },
     {
      "data": {
-      "text/plain": "<Figure size 1200x400 with 2 Axes>",
-      "image/png": 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\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1142,24 +1729,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": "-4.978082803417889"
-     },
-     "execution_count": 37,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'm5_3_A_trace' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [39]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m age_shared\u001b[38;5;241m.\u001b[39mset_value(A_seq)\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[1;32m----> 7\u001b[0m     m5_3_M_ppc \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\u001b[43mm5_3_A_trace\u001b[49m)\n\u001b[0;32m      9\u001b[0m \u001b[38;5;66;03m# Average first and last column and take difference\u001b[39;00m\n\u001b[0;32m     10\u001b[0m m5_3_M_ppc[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m][:, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mmean() \u001b[38;5;241m-\u001b[39m m5_3_M_ppc[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m][:, \u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mmean()\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
+     ]
     }
    ],
    "source": [
@@ -1184,16 +1766,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "ename": "NameError",
+     "evalue": "name 'm5_3_A_trace' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [40]\u001b[0m, in \u001b[0;36m<cell line: 8>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m age_shared\u001b[38;5;241m.\u001b[39mset_value(np\u001b[38;5;241m.\u001b[39mzeros(\u001b[38;5;241m50\u001b[39m))\n\u001b[0;32m      8\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[1;32m----> 9\u001b[0m     m5_3_M_ppc \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\u001b[43mm5_3_A_trace\u001b[49m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
+     ]
     }
    ],
    "source": [
@@ -1210,15 +1795,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'm5_3_M_ppc' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [41]\u001b[0m, in \u001b[0;36m<cell line: 3>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots()\n\u001b[1;32m----> 3\u001b[0m az\u001b[38;5;241m.\u001b[39mplot_hdi(marriage_counter_factual_x, \u001b[43mm5_3_M_ppc\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m], ax\u001b[38;5;241m=\u001b[39max)\n\u001b[0;32m      4\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot(marriage_counter_factual_x, m5_3_M_ppc[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mmean(\u001b[38;5;241m0\u001b[39m))\n\u001b[0;32m      5\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTotal counterfactual effect M on D\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_M_ppc' is not defined"
+     ]
+    },
     {
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1241,7 +1841,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1257,24 +1857,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/joanna/Dropbox/Sketchbook/python/resources/env/lib/python3.8/site-packages/pymc/sampling.py:1690: 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",
-      "  warnings.warn(\n"
+     "ename": "NameError",
+     "evalue": "name 'm5_3_A_trace' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [43]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# Get the samples from Age Marriage model first\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[0;32m      3\u001b[0m     m5_3_M_marriage \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\n\u001b[1;32m----> 4\u001b[0m         \u001b[43mm5_3_A_trace\u001b[49m, var_names\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msigma_m\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maM\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbAM\u001b[39m\u001b[38;5;124m\"\u001b[39m], samples\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1000\u001b[39m\n\u001b[0;32m      5\u001b[0m     )\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
      ]
-    },
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1287,18 +1882,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "(1000, 30)"
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "marriage_mu_counterfactual = np.outer(m5_3_M_marriage[\"aM\"] + m5_3_M_marriage[\"bAM\"], A_seq)\n",
     "marriage_mu_counterfactual.shape"
@@ -1306,18 +1892,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "(30, 1000)"
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "M_sim = stats.norm(loc=marriage_mu_counterfactual.T, scale=m5_3_M_marriage[\"sigma_m\"]).rvs()\n",
     "M_sim.shape"
@@ -1332,18 +1909,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "with m5_3_A:\n",
     "    m5_3_M_divorce = pm.sample_posterior_predictive(\n",
@@ -1353,7 +1921,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1375,15 +1943,117 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n\n   perc.lactose  mass  neocortex.perc  \n0         67.98  1.95           55.16  \n1         63.82  2.09             NaN  \n2         69.04  2.51             NaN  \n3         71.91  1.62             NaN  \n4         53.22  2.19             NaN  ",
-      "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>clade</th>\n      <th>species</th>\n      <th>kcal.per.g</th>\n      <th>perc.fat</th>\n      <th>perc.protein</th>\n      <th>perc.lactose</th>\n      <th>mass</th>\n      <th>neocortex.perc</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Strepsirrhine</td>\n      <td>Eulemur fulvus</td>\n      <td>0.49</td>\n      <td>16.60</td>\n      <td>15.42</td>\n      <td>67.98</td>\n      <td>1.95</td>\n      <td>55.16</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Strepsirrhine</td>\n      <td>E macaco</td>\n      <td>0.51</td>\n      <td>19.27</td>\n      <td>16.91</td>\n      <td>63.82</td>\n      <td>2.09</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Strepsirrhine</td>\n      <td>E mongoz</td>\n      <td>0.46</td>\n      <td>14.11</td>\n      <td>16.85</td>\n      <td>69.04</td>\n      <td>2.51</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Strepsirrhine</td>\n      <td>E rubriventer</td>\n      <td>0.48</td>\n      <td>14.91</td>\n      <td>13.18</td>\n      <td>71.91</td>\n      <td>1.62</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Strepsirrhine</td>\n      <td>Lemur catta</td>\n      <td>0.60</td>\n      <td>27.28</td>\n      <td>19.50</td>\n      <td>53.22</td>\n      <td>2.19</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>clade</th>\n",
+       "      <th>species</th>\n",
+       "      <th>kcal.per.g</th>\n",
+       "      <th>perc.fat</th>\n",
+       "      <th>perc.protein</th>\n",
+       "      <th>perc.lactose</th>\n",
+       "      <th>mass</th>\n",
+       "      <th>neocortex.perc</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Eulemur fulvus</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>16.60</td>\n",
+       "      <td>15.42</td>\n",
+       "      <td>67.98</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>55.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E macaco</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>19.27</td>\n",
+       "      <td>16.91</td>\n",
+       "      <td>63.82</td>\n",
+       "      <td>2.09</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E mongoz</td>\n",
+       "      <td>0.46</td>\n",
+       "      <td>14.11</td>\n",
+       "      <td>16.85</td>\n",
+       "      <td>69.04</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E rubriventer</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>14.91</td>\n",
+       "      <td>13.18</td>\n",
+       "      <td>71.91</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Lemur catta</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>27.28</td>\n",
+       "      <td>19.50</td>\n",
+       "      <td>53.22</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n",
+       "0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n",
+       "1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n",
+       "2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n",
+       "3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n",
+       "4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n",
+       "\n",
+       "   perc.lactose  mass  neocortex.perc  \n",
+       "0         67.98  1.95           55.16  \n",
+       "1         63.82  2.09             NaN  \n",
+       "2         69.04  2.51             NaN  \n",
+       "3         71.91  1.62             NaN  \n",
+       "4         53.22  2.19             NaN  "
+      ]
      },
-     "execution_count": 46,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1402,7 +2072,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1420,20 +2090,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
-     "ename": "SamplingError",
-     "evalue": "Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(-0.36651292), 'bN': array(0.), 'a': array(0.)}\n\nInitial evaluation results:\nsigma_log__   -1.06\nbN            -0.92\na             -0.92\nK               NaN\nName: Log-probability of test_point, dtype: float64",
+     "ename": "ValueError",
+     "evalue": "Length of Elemwise{mul,no_inplace}.0 cannot be determined",
      "output_type": "error",
      "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mSamplingError\u001b[0m                             Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-48-236ce2d564ed>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      8\u001b[0m     \u001b[0mK\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mNormal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"K\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmu\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0msigma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mobserved\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0md\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"K\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 10\u001b[0;31m     \u001b[0mm5_5_draft_trace\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msample\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Dropbox/Sketchbook/python/resources/env/lib/python3.8/site-packages/pymc/sampling.py\u001b[0m in \u001b[0;36msample\u001b[0;34m(draws, step, init, n_init, start, trace, chain_idx, chains, cores, tune, progressbar, model, random_seed, discard_tuned_samples, compute_convergence_checks, callback, jitter_max_retries, return_inferencedata, idata_kwargs, mp_ctx, pickle_backend, **kwargs)\u001b[0m\n\u001b[1;32m    425\u001b[0m     \u001b[0mmodel\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmodelcontext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    426\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mstart\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 427\u001b[0;31m         \u001b[0mcheck_start_vals\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtest_point\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    428\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    429\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstart\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m~/Dropbox/Sketchbook/python/resources/env/lib/python3.8/site-packages/pymc/util.py\u001b[0m in \u001b[0;36mcheck_start_vals\u001b[0;34m(start, model)\u001b[0m\n\u001b[1;32m    227\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    228\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfinite\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minitial_eval\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 229\u001b[0;31m             raise SamplingError(\n\u001b[0m\u001b[1;32m    230\u001b[0m                 \u001b[0;34m\"Initial evaluation of model at starting point failed!\\n\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    231\u001b[0m                 \u001b[0;34m\"Starting values:\\n{}\\n\\n\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mSamplingError\u001b[0m: Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(-0.36651292), 'bN': array(0.), 'a': array(0.)}\n\nInitial evaluation results:\nsigma_log__   -1.06\nbN            -0.92\na             -0.92\nK               NaN\nName: Log-probability of test_point, dtype: float64"
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [49]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m bN \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbN\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m      5\u001b[0m a \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m----> 6\u001b[0m mu \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mDeterministic(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmu\u001b[39m\u001b[38;5;124m\"\u001b[39m, a \u001b[38;5;241m+\u001b[39m \u001b[43mbN\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43md\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mN\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[0;32m      8\u001b[0m K \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m, mu, sigma, observed\u001b[38;5;241m=\u001b[39md[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m     10\u001b[0m m5_5_draft_trace \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample()\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\ops\\common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer.<locals>.new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m     66\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[0;32m     68\u001b[0m other \u001b[38;5;241m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 70\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\arraylike.py:120\u001b[0m, in \u001b[0;36mOpsMixin.__rmul__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m    118\u001b[0m \u001b[38;5;129m@unpack_zerodim_and_defer\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__rmul__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    119\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__rmul__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[1;32m--> 120\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrmul\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\series.py:5639\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m   5637\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_arith_method\u001b[39m(\u001b[38;5;28mself\u001b[39m, other, op):\n\u001b[0;32m   5638\u001b[0m     \u001b[38;5;28mself\u001b[39m, other \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39malign_method_SERIES(\u001b[38;5;28mself\u001b[39m, other)\n\u001b[1;32m-> 5639\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mIndexOpsMixin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\base.py:1297\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m   1294\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m   1295\u001b[0m     result \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39marithmetic_op(lvalues, rvalues, op)\n\u001b[1;32m-> 1297\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_construct_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mres_name\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\series.py:3017\u001b[0m, in \u001b[0;36mSeries._construct_result\u001b[1;34m(self, result, name)\u001b[0m\n\u001b[0;32m   3013\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (res1, res2)\n\u001b[0;32m   3015\u001b[0m \u001b[38;5;66;03m# We do not pass dtype to ensure that the Series constructor\u001b[39;00m\n\u001b[0;32m   3016\u001b[0m \u001b[38;5;66;03m#  does inference in the case where `result` has object-dtype.\u001b[39;00m\n\u001b[1;32m-> 3017\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_constructor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3018\u001b[0m out \u001b[38;5;241m=\u001b[39m out\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m   3020\u001b[0m \u001b[38;5;66;03m# Set the result's name after __finalize__ is called because __finalize__\u001b[39;00m\n\u001b[0;32m   3021\u001b[0m \u001b[38;5;66;03m#  would set it back to self.name\u001b[39;00m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\series.py:435\u001b[0m, in \u001b[0;36mSeries.__init__\u001b[1;34m(self, data, index, dtype, name, copy, fastpath)\u001b[0m\n\u001b[0;32m    433\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[0;32m    434\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 435\u001b[0m     data \u001b[38;5;241m=\u001b[39m \u001b[43mcom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmaybe_iterable_to_list\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    437\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m index \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    438\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_list_like(data):\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\common.py:292\u001b[0m, in \u001b[0;36mmaybe_iterable_to_list\u001b[1;34m(obj)\u001b[0m\n\u001b[0;32m    288\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    289\u001b[0m \u001b[38;5;124;03mIf obj is Iterable but not list-like, consume into list.\u001b[39;00m\n\u001b[0;32m    290\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    291\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, abc\u001b[38;5;241m.\u001b[39mIterable) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, abc\u001b[38;5;241m.\u001b[39mSized):\n\u001b[1;32m--> 292\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    293\u001b[0m obj \u001b[38;5;241m=\u001b[39m cast(Collection, obj)\n\u001b[0;32m    294\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m obj\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\aesara\\tensor\\var.py:610\u001b[0m, in \u001b[0;36m_tensor_py_operators.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    608\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__iter__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    609\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 610\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[43mat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbasic\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_vector_length\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m):\n\u001b[0;32m    611\u001b[0m             \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mself\u001b[39m[i]\n\u001b[0;32m    612\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m    613\u001b[0m         \u001b[38;5;66;03m# This prevents accidental iteration via sum(self)\u001b[39;00m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\aesara\\tensor\\__init__.py:79\u001b[0m, in \u001b[0;36mget_vector_length\u001b[1;34m(v)\u001b[0m\n\u001b[0;32m     76\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m v\u001b[38;5;241m.\u001b[39mtype\u001b[38;5;241m.\u001b[39mbroadcastable[\u001b[38;5;241m0\u001b[39m]:\n\u001b[0;32m     77\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_get_vector_length\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mowner\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mop\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\functools.py:888\u001b[0m, in \u001b[0;36msingledispatch.<locals>.wrapper\u001b[1;34m(*args, **kw)\u001b[0m\n\u001b[0;32m    884\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m args:\n\u001b[0;32m    885\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfuncname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m requires at least \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    886\u001b[0m                     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1 positional argument\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m--> 888\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m dispatch(args[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\aesara\\tensor\\elemwise.py:1823\u001b[0m, in \u001b[0;36m_get_vector_length_Elemwise\u001b[1;34m(op, var)\u001b[0m\n\u001b[0;32m   1820\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(var\u001b[38;5;241m.\u001b[39mowner\u001b[38;5;241m.\u001b[39minputs) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(var\u001b[38;5;241m.\u001b[39mowner\u001b[38;5;241m.\u001b[39moutputs) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m   1821\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m get_vector_length(var\u001b[38;5;241m.\u001b[39mowner\u001b[38;5;241m.\u001b[39minputs[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m-> 1823\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvar\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m cannot be determined\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[1;31mValueError\u001b[0m: Length of Elemwise{mul,no_inplace}.0 cannot be determined"
      ]
     }
    ],
@@ -1459,14 +2138,45 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "0     55.16\n1       NaN\n2       NaN\n3       NaN\n4       NaN\n5     64.54\n6     64.54\n7     67.64\n8       NaN\n9     68.85\n10    58.85\n11    61.69\n12    60.32\n13      NaN\n14      NaN\n15    69.97\n16      NaN\n17    70.41\n18      NaN\n19    73.40\n20      NaN\n21    67.53\n22      NaN\n23    71.26\n24    72.60\n25      NaN\n26    70.24\n27    76.30\n28    75.49\nName: neocortex.perc, dtype: float64"
+      "text/plain": [
+       "0     55.16\n",
+       "1       NaN\n",
+       "2       NaN\n",
+       "3       NaN\n",
+       "4       NaN\n",
+       "5     64.54\n",
+       "6     64.54\n",
+       "7     67.64\n",
+       "8       NaN\n",
+       "9     68.85\n",
+       "10    58.85\n",
+       "11    61.69\n",
+       "12    60.32\n",
+       "13      NaN\n",
+       "14      NaN\n",
+       "15    69.97\n",
+       "16      NaN\n",
+       "17    70.41\n",
+       "18      NaN\n",
+       "19    73.40\n",
+       "20      NaN\n",
+       "21    67.53\n",
+       "22      NaN\n",
+       "23    71.26\n",
+       "24    72.60\n",
+       "25      NaN\n",
+       "26    70.24\n",
+       "27    76.30\n",
+       "28    75.49\n",
+       "Name: neocortex.perc, dtype: float64"
+      ]
      },
-     "execution_count": 49,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1484,14 +2194,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "(17, 11)"
+      "text/plain": [
+       "(17, 11)"
+      ]
      },
-     "execution_count": 50,
+     "execution_count": 51,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1510,7 +2222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
@@ -1520,17 +2232,56 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [a, bN, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [sigma, bN, a]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+     ]
     }
    ],
    "source": [
@@ -1556,7 +2307,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1568,23 +2319,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/png": 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\n"
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
+    "ppr_K = m5_5_draft_prior_predictive.prior_predictive[\"K\"].mean(dim = ['chain'])\n",
+    "\n",
     "for i in range(50):\n",
-    "    ax.plot(xseq, m5_5_draft_prior_predictive[\"K\"][i], c=\"black\", alpha=0.3)\n",
+    "    ax.plot(xseq, ppr_K[i], c=\"black\", alpha=0.3)\n",
     "ax.set_xlim(xseq)\n",
     "ax.set_ylim(xseq)\n",
     "ax.set_title(\"a~dnorm(0,1) \\n bN~dnorm(0,1)\")\n",
@@ -1601,7 +2358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [
     {
@@ -1611,17 +2368,56 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [a, bN, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [sigma, bN, a]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+     ]
     }
    ],
    "source": [
@@ -1637,7 +2433,51 @@
     "\n",
     "    m5_5_trace = pm.sample()\n",
     "\n",
-    "m5_5_data = az.from_pymc3(m5_5_trace)"
+    "m5_5_data = az.extract_dataset(m5_5_trace)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 72,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "xseq = [-2, 2]\n",
+    "shared_N.set_value(np.array(xseq))\n",
+    "with m5_5:\n",
+    "    m5_5_prior_predictive = pm.sample_prior_predictive()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots()\n",
+    "\n",
+    "ppr_K = m5_5_prior_predictive.prior_predictive[\"K\"].mean(dim = ['chain'])\n",
+    "\n",
+    "for i in range(50):\n",
+    "    ax.plot(xseq, ppr_K[i], c=\"black\", alpha=0.3)\n",
+    "ax.set_xlim(xseq)\n",
+    "ax.set_ylim(xseq)\n",
+    "ax.set_title(\"a~dnorm(0,1) \\n bN~dnorm(0,1)\")\n",
+    "ax.set_xlabel(\"neocortex percent (std)\")\n",
+    "ax.set_ylabel(\"kilocal per g (std)\");"
    ]
   },
   {
@@ -1649,15 +2489,95 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean  ess_sd  \\\na      0.036  0.164  -0.288    0.330      0.003    0.003    3955.0  1672.0   \nbN     0.129  0.246  -0.311    0.611      0.004    0.003    4610.0  2823.0   \nsigma  1.107  0.203   0.781    1.498      0.003    0.002    4062.0  3795.0   \n\n       ess_bulk  ess_tail  r_hat  \na        3974.0    2754.0    1.0  \nbN       4608.0    2814.0    1.0  \nsigma    4184.0    2789.0    1.0  ",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n      <th>mcse_mean</th>\n      <th>mcse_sd</th>\n      <th>ess_mean</th>\n      <th>ess_sd</th>\n      <th>ess_bulk</th>\n      <th>ess_tail</th>\n      <th>r_hat</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>a</th>\n      <td>0.036</td>\n      <td>0.164</td>\n      <td>-0.288</td>\n      <td>0.330</td>\n      <td>0.003</td>\n      <td>0.003</td>\n      <td>3955.0</td>\n      <td>1672.0</td>\n      <td>3974.0</td>\n      <td>2754.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>bN</th>\n      <td>0.129</td>\n      <td>0.246</td>\n      <td>-0.311</td>\n      <td>0.611</td>\n      <td>0.004</td>\n      <td>0.003</td>\n      <td>4610.0</td>\n      <td>2823.0</td>\n      <td>4608.0</td>\n      <td>2814.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>sigma</th>\n      <td>1.107</td>\n      <td>0.203</td>\n      <td>0.781</td>\n      <td>1.498</td>\n      <td>0.003</td>\n      <td>0.002</td>\n      <td>4062.0</td>\n      <td>3795.0</td>\n      <td>4184.0</td>\n      <td>2789.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>0.035</td>\n",
+       "      <td>0.160</td>\n",
+       "      <td>-0.247</td>\n",
+       "      <td>0.332</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>5125.0</td>\n",
+       "      <td>2961.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bN</th>\n",
+       "      <td>0.123</td>\n",
+       "      <td>0.250</td>\n",
+       "      <td>-0.329</td>\n",
+       "      <td>0.627</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>4700.0</td>\n",
+       "      <td>2767.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>1.112</td>\n",
+       "      <td>0.205</td>\n",
+       "      <td>0.770</td>\n",
+       "      <td>1.492</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4091.0</td>\n",
+       "      <td>2658.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "a      0.035  0.160  -0.247    0.332      0.002    0.002    5125.0    2961.0   \n",
+       "bN     0.123  0.250  -0.329    0.627      0.004    0.004    4700.0    2767.0   \n",
+       "sigma  1.112  0.205   0.770    1.492      0.003    0.002    4091.0    2658.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "a        1.0  \n",
+       "bN       1.0  \n",
+       "sigma    1.0  "
+      ]
      },
-     "execution_count": 55,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1675,24 +2595,61 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/png": 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\n"
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1702,13 +2659,14 @@
     "\n",
     "with m5_5:\n",
     "    m5_5_posterior_predictive = pm.sample_posterior_predictive(\n",
-    "        m5_5_trace, var_names=[\"mu\"], samples=4000\n",
+    "        m5_5_trace, var_names=[\"mu\"]\n",
     "    )\n",
     "\n",
-    "mu_mean = m5_5_posterior_predictive[\"mu\"].mean(axis=0)\n",
+    "mu_ppd = m5_5_posterior_predictive.posterior_predictive[\"mu\"]\n",
+    "mu_mean = mu_ppd.mean(dim = ['chain','draw'])\n",
     "\n",
     "fig, ax = plt.subplots()\n",
-    "az.plot_hdi(xseq, m5_5_posterior_predictive[\"mu\"], ax=ax)\n",
+    "az.plot_hdi(xseq, mu_ppd, ax=ax)\n",
     "ax.plot(xseq, mu_mean, c=\"black\")\n",
     "ax.scatter(dcc[\"N\"], dcc[\"K\"], facecolors=\"none\", edgecolors=\"b\")\n",
     "ax.set_ylim(-1.5, 2.2)\n",
@@ -1725,7 +2683,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [
     {
@@ -1735,24 +2693,143 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [a, bM, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [sigma, bM, a]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+     ]
+    },
     {
      "data": {
-      "text/plain": "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean  ess_sd  \\\nbM    -0.303  0.243  -0.766    0.136      0.004    0.003    4000.0  3438.0   \na      0.046  0.159  -0.249    0.341      0.002    0.002    4108.0  2223.0   \nsigma  1.056  0.199   0.726    1.412      0.003    0.002    3822.0  3417.0   \n\n       ess_bulk  ess_tail  r_hat  \nbM       4033.0    2732.0    1.0  \na        4100.0    2782.0    1.0  \nsigma    4034.0    2740.0    1.0  ",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n      <th>mcse_mean</th>\n      <th>mcse_sd</th>\n      <th>ess_mean</th>\n      <th>ess_sd</th>\n      <th>ess_bulk</th>\n      <th>ess_tail</th>\n      <th>r_hat</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>bM</th>\n      <td>-0.303</td>\n      <td>0.243</td>\n      <td>-0.766</td>\n      <td>0.136</td>\n      <td>0.004</td>\n      <td>0.003</td>\n      <td>4000.0</td>\n      <td>3438.0</td>\n      <td>4033.0</td>\n      <td>2732.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>a</th>\n      <td>0.046</td>\n      <td>0.159</td>\n      <td>-0.249</td>\n      <td>0.341</td>\n      <td>0.002</td>\n      <td>0.002</td>\n      <td>4108.0</td>\n      <td>2223.0</td>\n      <td>4100.0</td>\n      <td>2782.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>sigma</th>\n      <td>1.056</td>\n      <td>0.199</td>\n      <td>0.726</td>\n      <td>1.412</td>\n      <td>0.003</td>\n      <td>0.002</td>\n      <td>3822.0</td>\n      <td>3417.0</td>\n      <td>4034.0</td>\n      <td>2740.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>bM</th>\n",
+       "      <td>-0.298</td>\n",
+       "      <td>0.243</td>\n",
+       "      <td>-0.742</td>\n",
+       "      <td>0.159</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4084.0</td>\n",
+       "      <td>2482.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>0.050</td>\n",
+       "      <td>0.159</td>\n",
+       "      <td>-0.253</td>\n",
+       "      <td>0.343</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4887.0</td>\n",
+       "      <td>2766.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>1.058</td>\n",
+       "      <td>0.196</td>\n",
+       "      <td>0.725</td>\n",
+       "      <td>1.422</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4198.0</td>\n",
+       "      <td>2698.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "bM    -0.298  0.243  -0.742    0.159      0.004    0.003    4084.0    2482.0   \n",
+       "a      0.050  0.159  -0.253    0.343      0.002    0.003    4887.0    2766.0   \n",
+       "sigma  1.058  0.196   0.725    1.422      0.003    0.002    4198.0    2698.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "bM       1.0  \n",
+       "a        1.0  \n",
+       "sigma    1.0  "
+      ]
      },
-     "execution_count": 57,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1770,7 +2847,7 @@
     "\n",
     "    m5_6_trace = pm.sample()\n",
     "\n",
-    "m5_6_data = az.from_pymc3(m5_6_trace)\n",
+    "m5_6_data = az.extract_dataset(m5_6_trace)\n",
     "az.summary(m5_6_trace, var_names=[\"bM\", \"a\", \"sigma\"])"
    ]
   },
@@ -1783,7 +2860,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [
     {
@@ -1793,24 +2870,157 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [a, bM, bN, sigma]\n",
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 12 seconds.\n"
+      "NUTS: [sigma, bN, bM, a]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='48000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean   ess_sd  \\\na      0.059  0.153  -0.226    0.349      0.001    0.001   37589.0  23995.0   \nbN     0.380  0.258  -0.114    0.857      0.002    0.001   20569.0  20569.0   \nbM    -0.511  0.271  -1.005    0.013      0.002    0.001   21427.0  21427.0   \nsigma  0.971  0.194   0.657    1.343      0.001    0.001   27207.0  26828.0   \n\n       ess_bulk  ess_tail  r_hat  \na       37663.0   28959.0    1.0  \nbN      20707.0   23164.0    1.0  \nbM      21664.0   24572.0    1.0  \nsigma   27361.0   24665.0    1.0  ",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n      <th>mcse_mean</th>\n      <th>mcse_sd</th>\n      <th>ess_mean</th>\n      <th>ess_sd</th>\n      <th>ess_bulk</th>\n      <th>ess_tail</th>\n      <th>r_hat</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>a</th>\n      <td>0.059</td>\n      <td>0.153</td>\n      <td>-0.226</td>\n      <td>0.349</td>\n      <td>0.001</td>\n      <td>0.001</td>\n      <td>37589.0</td>\n      <td>23995.0</td>\n      <td>37663.0</td>\n      <td>28959.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>bN</th>\n      <td>0.380</td>\n      <td>0.258</td>\n      <td>-0.114</td>\n      <td>0.857</td>\n      <td>0.002</td>\n      <td>0.001</td>\n      <td>20569.0</td>\n      <td>20569.0</td>\n      <td>20707.0</td>\n      <td>23164.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>bM</th>\n      <td>-0.511</td>\n      <td>0.271</td>\n      <td>-1.005</td>\n      <td>0.013</td>\n      <td>0.002</td>\n      <td>0.001</td>\n      <td>21427.0</td>\n      <td>21427.0</td>\n      <td>21664.0</td>\n      <td>24572.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>sigma</th>\n      <td>0.971</td>\n      <td>0.194</td>\n      <td>0.657</td>\n      <td>1.343</td>\n      <td>0.001</td>\n      <td>0.001</td>\n      <td>27207.0</td>\n      <td>26828.0</td>\n      <td>27361.0</td>\n      <td>24665.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='48000' class='' max='48000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [48000/48000 00:25<00:00 Sampling 4 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
-     "execution_count": 58,
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 41 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>0.060</td>\n",
+       "      <td>0.152</td>\n",
+       "      <td>-0.225</td>\n",
+       "      <td>0.349</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>29160.0</td>\n",
+       "      <td>25505.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bN</th>\n",
+       "      <td>0.381</td>\n",
+       "      <td>0.260</td>\n",
+       "      <td>-0.125</td>\n",
+       "      <td>0.856</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>26423.0</td>\n",
+       "      <td>26277.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bM</th>\n",
+       "      <td>-0.514</td>\n",
+       "      <td>0.270</td>\n",
+       "      <td>-0.998</td>\n",
+       "      <td>0.021</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>24977.0</td>\n",
+       "      <td>26219.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>0.970</td>\n",
+       "      <td>0.192</td>\n",
+       "      <td>0.649</td>\n",
+       "      <td>1.327</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>27814.0</td>\n",
+       "      <td>21981.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "a      0.060  0.152  -0.225    0.349      0.001    0.001   29160.0   25505.0   \n",
+       "bN     0.381  0.260  -0.125    0.856      0.002    0.001   26423.0   26277.0   \n",
+       "bM    -0.514  0.270  -0.998    0.021      0.002    0.001   24977.0   26219.0   \n",
+       "sigma  0.970  0.192   0.649    1.327      0.001    0.001   27814.0   21981.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "a        1.0  \n",
+       "bN       1.0  \n",
+       "bM       1.0  \n",
+       "sigma    1.0  "
+      ]
+     },
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1831,7 +3041,7 @@
     "\n",
     "    m5_7_trace = pm.sample(tune=2000, draws=10000)\n",
     "\n",
-    "m5_7_data = az.from_pymc3(m5_7_trace)\n",
+    "m5_7_data = az.extract_dataset(m5_7_trace)\n",
     "az.summary(m5_7_trace, var_names=[\"a\", \"bN\", \"bM\", \"sigma\"])"
    ]
   },
@@ -1844,15 +3054,62 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [78]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43maz\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot_forest\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43m[\u001b[49m\u001b[43mm5_7_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mm5_6_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mm5_5_data\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel_names\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mm5.7\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mm5.6\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mm5.5\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvar_names\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mbM\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mbN\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m      5\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcombined\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m      6\u001b[0m \u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\arviz\\plots\\forestplot.py:295\u001b[0m, in \u001b[0;36mplot_forest\u001b[1;34m(data, kind, model_names, var_names, filter_vars, transform, coords, combined, combine_dims, hdi_prob, rope, quartiles, ess, r_hat, colors, textsize, linewidth, markersize, legend, labeller, ridgeplot_alpha, ridgeplot_overlap, ridgeplot_kind, ridgeplot_truncate, ridgeplot_quantiles, figsize, ax, backend, backend_config, backend_kwargs, show)\u001b[0m\n\u001b[0;32m    293\u001b[0m \u001b[38;5;66;03m# TODO: Add backend kwargs\u001b[39;00m\n\u001b[0;32m    294\u001b[0m plot \u001b[38;5;241m=\u001b[39m get_plotting_function(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplot_forest\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mforestplot\u001b[39m\u001b[38;5;124m\"\u001b[39m, backend)\n\u001b[1;32m--> 295\u001b[0m axes \u001b[38;5;241m=\u001b[39m plot(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mplot_forest_kwargs)\n\u001b[0;32m    296\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m axes\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\arviz\\plots\\backends\\matplotlib\\forestplot.py:106\u001b[0m, in \u001b[0;36mplot_forest\u001b[1;34m(ax, datasets, var_names, model_names, combined, combine_dims, colors, figsize, width_ratios, linewidth, markersize, kind, ncols, hdi_prob, quartiles, rope, ridgeplot_overlap, ridgeplot_alpha, ridgeplot_kind, ridgeplot_truncate, ridgeplot_quantiles, textsize, legend, labeller, ess, r_hat, backend_kwargs, backend_config, show)\u001b[0m\n\u001b[0;32m    104\u001b[0m axes \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39matleast_1d(axes)\n\u001b[0;32m    105\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mforestplot\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m--> 106\u001b[0m     \u001b[43mplot_handler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforestplot\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    107\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhdi_prob\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    108\u001b[0m \u001b[43m        \u001b[49m\u001b[43mquartiles\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    109\u001b[0m \u001b[43m        \u001b[49m\u001b[43mxt_labelsize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    110\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtitlesize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    111\u001b[0m \u001b[43m        \u001b[49m\u001b[43mlinewidth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    112\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmarkersize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    113\u001b[0m \u001b[43m        \u001b[49m\u001b[43maxes\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    114\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrope\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    115\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    116\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m kind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mridgeplot\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m    117\u001b[0m     plot_handler\u001b[38;5;241m.\u001b[39mridgeplot(\n\u001b[0;32m    118\u001b[0m         hdi_prob,\n\u001b[0;32m    119\u001b[0m         ridgeplot_overlap,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    126\u001b[0m         axes[\u001b[38;5;241m0\u001b[39m],\n\u001b[0;32m    127\u001b[0m     )\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\arviz\\plots\\backends\\matplotlib\\forestplot.py:422\u001b[0m, in \u001b[0;36mPlotHandler.forestplot\u001b[1;34m(self, hdi_prob, quartiles, xt_labelsize, titlesize, linewidth, markersize, ax, rope)\u001b[0m\n\u001b[0;32m    418\u001b[0m         param_iter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mzip\u001b[39m(\n\u001b[0;32m    419\u001b[0m             np\u001b[38;5;241m.\u001b[39mlinspace(\u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m linewidth, linewidth, mid, endpoint\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m::\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m], \u001b[38;5;28mrange\u001b[39m(mid)\n\u001b[0;32m    420\u001b[0m         )\n\u001b[0;32m    421\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m width, j \u001b[38;5;129;01min\u001b[39;00m param_iter:\n\u001b[1;32m--> 422\u001b[0m             \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhlines\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[43mj\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mj\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlinewidth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwidth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolor\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    423\u001b[0m         ax\u001b[38;5;241m.\u001b[39mplot(\n\u001b[0;32m    424\u001b[0m             values[mid],\n\u001b[0;32m    425\u001b[0m             y,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    429\u001b[0m             color\u001b[38;5;241m=\u001b[39mcolor,\n\u001b[0;32m    430\u001b[0m         )\n\u001b[0;32m    431\u001b[0m ax\u001b[38;5;241m.\u001b[39mtick_params(labelsize\u001b[38;5;241m=\u001b[39mxt_labelsize)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\__init__.py:1412\u001b[0m, in \u001b[0;36m_preprocess_data.<locals>.inner\u001b[1;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1409\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[0;32m   1410\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m   1411\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1412\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m func(ax, \u001b[38;5;241m*\u001b[39m\u001b[38;5;28mmap\u001b[39m(sanitize_sequence, args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1414\u001b[0m     bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1415\u001b[0m     auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[0;32m   1416\u001b[0m                   \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\axes\\_axes.py:1059\u001b[0m, in \u001b[0;36mAxes.hlines\u001b[1;34m(self, y, xmin, xmax, colors, linestyles, label, **kwargs)\u001b[0m\n\u001b[0;32m   1055\u001b[0m masked_verts[:, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m=\u001b[39m y\n\u001b[0;32m   1057\u001b[0m lines \u001b[38;5;241m=\u001b[39m mcoll\u001b[38;5;241m.\u001b[39mLineCollection(masked_verts, colors\u001b[38;5;241m=\u001b[39mcolors,\n\u001b[0;32m   1058\u001b[0m                              linestyles\u001b[38;5;241m=\u001b[39mlinestyles, label\u001b[38;5;241m=\u001b[39mlabel)\n\u001b[1;32m-> 1059\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_collection\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlines\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mautolim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m   1060\u001b[0m lines\u001b[38;5;241m.\u001b[39mupdate(kwargs)\n\u001b[0;32m   1062\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(y) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\axes\\_base.py:2242\u001b[0m, in \u001b[0;36m_AxesBase.add_collection\u001b[1;34m(self, collection, autolim)\u001b[0m\n\u001b[0;32m   2239\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_artist_props(collection)\n\u001b[0;32m   2241\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m collection\u001b[38;5;241m.\u001b[39mget_clip_path() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 2242\u001b[0m     \u001b[43mcollection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_clip_path\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpatch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2244\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m autolim:\n\u001b[0;32m   2245\u001b[0m     \u001b[38;5;66;03m# Make sure viewLim is not stale (mostly to match\u001b[39;00m\n\u001b[0;32m   2246\u001b[0m     \u001b[38;5;66;03m# pre-lazy-autoscale behavior, which is not really better).\u001b[39;00m\n\u001b[0;32m   2247\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_unstale_viewLim()\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\artist.py:790\u001b[0m, in \u001b[0;36mArtist.set_clip_path\u001b[1;34m(self, path, transform)\u001b[0m\n\u001b[0;32m    787\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m transform \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    788\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(path, Rectangle):\n\u001b[0;32m    789\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclipbox \u001b[38;5;241m=\u001b[39m TransformedBbox(Bbox\u001b[38;5;241m.\u001b[39munit(),\n\u001b[1;32m--> 790\u001b[0m                                        \u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m    791\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clippath \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m    792\u001b[0m         success \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\patches.py:278\u001b[0m, in \u001b[0;36mPatch.get_transform\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    276\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_transform\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    277\u001b[0m     \u001b[38;5;124;03m\"\"\"Return the `~.transforms.Transform` applied to the `Patch`.\"\"\"\u001b[39;00m\n\u001b[1;32m--> 278\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_patch_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m+\u001b[39m artist\u001b[38;5;241m.\u001b[39mArtist\u001b[38;5;241m.\u001b[39mget_transform(\u001b[38;5;28mself\u001b[39m)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\patches.py:760\u001b[0m, in \u001b[0;36mRectangle.get_patch_transform\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    753\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_patch_transform\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    754\u001b[0m     \u001b[38;5;66;03m# Note: This cannot be called until after this has been added to\u001b[39;00m\n\u001b[0;32m    755\u001b[0m     \u001b[38;5;66;03m# an Axes, otherwise unit conversion will fail. This makes it very\u001b[39;00m\n\u001b[0;32m    756\u001b[0m     \u001b[38;5;66;03m# important to call the accessor method and not directly access the\u001b[39;00m\n\u001b[0;32m    757\u001b[0m     \u001b[38;5;66;03m# transformation member variable.\u001b[39;00m\n\u001b[0;32m    758\u001b[0m     bbox \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_bbox()\n\u001b[0;32m    759\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (transforms\u001b[38;5;241m.\u001b[39mBboxTransformTo(bbox)\n\u001b[1;32m--> 760\u001b[0m             \u001b[38;5;241m+\u001b[39m \u001b[43mtransforms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mAffine2D\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrotate_deg_around\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    761\u001b[0m \u001b[43m                \u001b[49m\u001b[43mbbox\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mx0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbbox\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43my0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mangle\u001b[49m\u001b[43m)\u001b[49m)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\transforms.py:2042\u001b[0m, in \u001b[0;36mAffine2D.rotate_deg_around\u001b[1;34m(self, x, y, degrees)\u001b[0m\n\u001b[0;32m   2040\u001b[0m \u001b[38;5;66;03m# Cast to float to avoid wraparound issues with uint8's\u001b[39;00m\n\u001b[0;32m   2041\u001b[0m x, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mfloat\u001b[39m(x), \u001b[38;5;28mfloat\u001b[39m(y)\n\u001b[1;32m-> 2042\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtranslate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrotate_deg\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdegrees\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mtranslate(x, y)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\transforms.py:2020\u001b[0m, in \u001b[0;36mAffine2D.rotate_deg\u001b[1;34m(self, degrees)\u001b[0m\n\u001b[0;32m   2012\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrotate_deg\u001b[39m(\u001b[38;5;28mself\u001b[39m, degrees):\n\u001b[0;32m   2013\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   2014\u001b[0m \u001b[38;5;124;03m    Add a rotation (in degrees) to this transform in place.\u001b[39;00m\n\u001b[0;32m   2015\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   2018\u001b[0m \u001b[38;5;124;03m    and :meth:`scale`.\u001b[39;00m\n\u001b[0;32m   2019\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 2020\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrotate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mradians\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdegrees\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\transforms.py:2008\u001b[0m, in \u001b[0;36mAffine2D.rotate\u001b[1;34m(self, theta)\u001b[0m\n\u001b[0;32m   2005\u001b[0m b \u001b[38;5;241m=\u001b[39m math\u001b[38;5;241m.\u001b[39msin(theta)\n\u001b[0;32m   2006\u001b[0m rotate_mtx \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray([[a, \u001b[38;5;241m-\u001b[39mb, \u001b[38;5;241m0.0\u001b[39m], [b, a, \u001b[38;5;241m0.0\u001b[39m], [\u001b[38;5;241m0.0\u001b[39m, \u001b[38;5;241m0.0\u001b[39m, \u001b[38;5;241m1.0\u001b[39m]],\n\u001b[0;32m   2007\u001b[0m                       \u001b[38;5;28mfloat\u001b[39m)\n\u001b[1;32m-> 2008\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mtx \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrotate_mtx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mtx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2009\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minvalidate()\n\u001b[0;32m   2010\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
+      "File \u001b[1;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36mdot\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    },
+    {
+     "ename": "ValueError",
+     "evalue": "Image size of 432x634248 pixels is too large. It must be less than 2^16 in each direction.",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\IPython\\core\\formatters.py:339\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m    337\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[0;32m    338\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 339\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mprinter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    340\u001b[0m \u001b[38;5;66;03m# Finally look for special method names\u001b[39;00m\n\u001b[0;32m    341\u001b[0m method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\IPython\\core\\pylabtools.py:151\u001b[0m, in \u001b[0;36mprint_figure\u001b[1;34m(fig, fmt, bbox_inches, base64, **kwargs)\u001b[0m\n\u001b[0;32m    148\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_bases\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FigureCanvasBase\n\u001b[0;32m    149\u001b[0m     FigureCanvasBase(fig)\n\u001b[1;32m--> 151\u001b[0m fig\u001b[38;5;241m.\u001b[39mcanvas\u001b[38;5;241m.\u001b[39mprint_figure(bytes_io, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n\u001b[0;32m    152\u001b[0m data \u001b[38;5;241m=\u001b[39m bytes_io\u001b[38;5;241m.\u001b[39mgetvalue()\n\u001b[0;32m    153\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fmt \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msvg\u001b[39m\u001b[38;5;124m'\u001b[39m:\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backend_bases.py:2289\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[0;32m   2282\u001b[0m     bbox_inches \u001b[38;5;241m=\u001b[39m rcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msavefig.bbox\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m   2284\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mget_constrained_layout() \u001b[38;5;129;01mor\u001b[39;00m\n\u001b[0;32m   2285\u001b[0m         bbox_inches \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtight\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m   2286\u001b[0m     \u001b[38;5;66;03m# we need to trigger a draw before printing to make sure\u001b[39;00m\n\u001b[0;32m   2287\u001b[0m     \u001b[38;5;66;03m# CL works.  \"tight\" also needs a draw to get the right\u001b[39;00m\n\u001b[0;32m   2288\u001b[0m     \u001b[38;5;66;03m# locations:\u001b[39;00m\n\u001b[1;32m-> 2289\u001b[0m     renderer \u001b[38;5;241m=\u001b[39m \u001b[43m_get_renderer\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   2290\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2291\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfunctools\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpartial\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   2292\u001b[0m \u001b[43m            \u001b[49m\u001b[43mprint_method\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2293\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2294\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(renderer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_draw_disabled\u001b[39m\u001b[38;5;124m\"\u001b[39m, nullcontext)():\n\u001b[0;32m   2295\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mdraw(renderer)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backend_bases.py:1544\u001b[0m, in \u001b[0;36m_get_renderer\u001b[1;34m(figure, print_method)\u001b[0m\n\u001b[0;32m   1541\u001b[0m     print_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\n\u001b[0;32m   1542\u001b[0m         figure\u001b[38;5;241m.\u001b[39mcanvas\u001b[38;5;241m.\u001b[39m_get_output_canvas(\u001b[38;5;28;01mNone\u001b[39;00m, fmt), \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprint_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfmt\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   1543\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1544\u001b[0m     \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mio\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mBytesIO\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1545\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m Done \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m   1546\u001b[0m     renderer, \u001b[38;5;241m=\u001b[39m figure\u001b[38;5;241m.\u001b[39m_cachedRenderer, \u001b[38;5;241m=\u001b[39m exc\u001b[38;5;241m.\u001b[39margs\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backend_bases.py:1648\u001b[0m, in \u001b[0;36m_check_savefig_extra_args.<locals>.wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m   1640\u001b[0m     _api\u001b[38;5;241m.\u001b[39mwarn_deprecated(\n\u001b[0;32m   1641\u001b[0m         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m3.3\u001b[39m\u001b[38;5;124m'\u001b[39m, name\u001b[38;5;241m=\u001b[39mname, removal\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m3.6\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m   1642\u001b[0m         message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%(name)s\u001b[39;00m\u001b[38;5;124m() got unexpected keyword argument \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m   1643\u001b[0m                 \u001b[38;5;241m+\u001b[39m arg \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m which is no longer supported as of \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m   1644\u001b[0m                 \u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%(since)s\u001b[39;00m\u001b[38;5;124m and will become an error \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m   1645\u001b[0m                 \u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%(removal)s\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m   1646\u001b[0m     kwargs\u001b[38;5;241m.\u001b[39mpop(arg)\n\u001b[1;32m-> 1648\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\_api\\deprecation.py:415\u001b[0m, in \u001b[0;36mdelete_parameter.<locals>.wrapper\u001b[1;34m(*inner_args, **inner_kwargs)\u001b[0m\n\u001b[0;32m    405\u001b[0m     deprecation_addendum \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m    406\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIf any parameter follows \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m, they should be passed as \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    407\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkeyword, not positionally.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    408\u001b[0m     warn_deprecated(\n\u001b[0;32m    409\u001b[0m         since,\n\u001b[0;32m    410\u001b[0m         name\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mrepr\u001b[39m(name),\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    413\u001b[0m                  \u001b[38;5;28;01melse\u001b[39;00m deprecation_addendum,\n\u001b[0;32m    414\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m--> 415\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39minner_args, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39minner_kwargs)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:540\u001b[0m, in \u001b[0;36mFigureCanvasAgg.print_png\u001b[1;34m(self, filename_or_obj, metadata, pil_kwargs, *args)\u001b[0m\n\u001b[0;32m    490\u001b[0m \u001b[38;5;129m@_check_savefig_extra_args\u001b[39m\n\u001b[0;32m    491\u001b[0m \u001b[38;5;129m@_api\u001b[39m\u001b[38;5;241m.\u001b[39mdelete_parameter(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m3.5\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124margs\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    492\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mprint_png\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, \u001b[38;5;241m*\u001b[39margs,\n\u001b[0;32m    493\u001b[0m               metadata\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, pil_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m    494\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    495\u001b[0m \u001b[38;5;124;03m    Write the figure to a PNG file.\u001b[39;00m\n\u001b[0;32m    496\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    538\u001b[0m \u001b[38;5;124;03m        *metadata*, including the default 'Software' key.\u001b[39;00m\n\u001b[0;32m    539\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 540\u001b[0m     \u001b[43mFigureCanvasAgg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m    541\u001b[0m     mpl\u001b[38;5;241m.\u001b[39mimage\u001b[38;5;241m.\u001b[39mimsave(\n\u001b[0;32m    542\u001b[0m         filename_or_obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuffer_rgba(), \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpng\u001b[39m\u001b[38;5;124m\"\u001b[39m, origin\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mupper\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    543\u001b[0m         dpi\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mdpi, metadata\u001b[38;5;241m=\u001b[39mmetadata, pil_kwargs\u001b[38;5;241m=\u001b[39mpil_kwargs)\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:431\u001b[0m, in \u001b[0;36mFigureCanvasAgg.draw\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    429\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdraw\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    430\u001b[0m     \u001b[38;5;66;03m# docstring inherited\u001b[39;00m\n\u001b[1;32m--> 431\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrenderer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_renderer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcleared\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m    432\u001b[0m     \u001b[38;5;66;03m# Acquire a lock on the shared font cache.\u001b[39;00m\n\u001b[0;32m    433\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m RendererAgg\u001b[38;5;241m.\u001b[39mlock, \\\n\u001b[0;32m    434\u001b[0m          (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtoolbar\u001b[38;5;241m.\u001b[39m_wait_cursor_for_draw_cm() \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtoolbar\n\u001b[0;32m    435\u001b[0m           \u001b[38;5;28;01melse\u001b[39;00m nullcontext()):\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:447\u001b[0m, in \u001b[0;36mFigureCanvasAgg.get_renderer\u001b[1;34m(self, cleared)\u001b[0m\n\u001b[0;32m    444\u001b[0m reuse_renderer \u001b[38;5;241m=\u001b[39m (\u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrenderer\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    445\u001b[0m                   \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_lastKey\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m key)\n\u001b[0;32m    446\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m reuse_renderer:\n\u001b[1;32m--> 447\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrenderer \u001b[38;5;241m=\u001b[39m \u001b[43mRendererAgg\u001b[49m\u001b[43m(\u001b[49m\u001b[43mw\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mh\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    448\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lastKey \u001b[38;5;241m=\u001b[39m key\n\u001b[0;32m    449\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m cleared:\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:93\u001b[0m, in \u001b[0;36mRendererAgg.__init__\u001b[1;34m(self, width, height, dpi)\u001b[0m\n\u001b[0;32m     91\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwidth \u001b[38;5;241m=\u001b[39m width\n\u001b[0;32m     92\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mheight \u001b[38;5;241m=\u001b[39m height\n\u001b[1;32m---> 93\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_renderer \u001b[38;5;241m=\u001b[39m \u001b[43m_RendererAgg\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mwidth\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mheight\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     94\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filter_renderers \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m     96\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_methods()\n",
+      "\u001b[1;31mValueError\u001b[0m: Image size of 432x634248 pixels is too large. It must be less than 2^16 in each direction."
+     ]
+    },
     {
      "data": {
-      "text/plain": "<Figure size 600x940 with 1 Axes>",
-      "image/png": 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\n"
+      "text/plain": [
+       "<Figure size 432x634248 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1875,31 +3132,60 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 81,
    "metadata": {},
    "outputs": [
     {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/joanna/Dropbox/Sketchbook/python/resources/env/lib/python3.8/site-packages/pymc/sampling.py:1690: 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",
-      "  warnings.warn(\n"
-     ]
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='40000' class='' max='40000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [40000/40000 00:01<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "<Figure size 720x480 with 1 Axes>",
-      "image/png": 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\n"
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1911,13 +3197,14 @@
     "\n",
     "with m5_7:\n",
     "    m5_7_posterior_predictive = pm.sample_posterior_predictive(\n",
-    "        m5_7_trace, var_names=[\"mu\"], samples=4000\n",
+    "        m5_7_trace, var_names=[\"mu\"]\n",
     "    )\n",
     "\n",
-    "mu_mean = m5_7_posterior_predictive[\"mu\"].mean(axis=0)\n",
+    "mu_ppd = m5_7_posterior_predictive.posterior_predictive[\"mu\"]\n",
+    "mu_mean = mu_ppd.mean(dim = ['chain','draw'])\n",
     "\n",
     "fig, ax = plt.subplots()\n",
-    "az.plot_hdi(xseq, m5_7_posterior_predictive[\"mu\"], ax=ax)\n",
+    "az.plot_hdi(xseq, mu_ppd, ax=ax)\n",
     "ax.plot(xseq, mu_mean, c=\"black\")\n",
     "\n",
     "ax.set_ylim(-1.5, 2.2)\n",
@@ -1935,7 +3222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 82,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1949,6 +3236,28 @@
     "d_sim = pd.DataFrame({\"K\": K, \"M\": M, \"N\": N})"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 993.6x662.4 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "az.plot_pair({\"M\": M, \"N\": N, \"K\": K});"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1958,7 +3267,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 84,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1991,15 +3300,86 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 85,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "    height     weight   age  male\n0  151.765  47.825606  63.0     1\n1  139.700  36.485807  63.0     0\n2  136.525  31.864838  65.0     0\n3  156.845  53.041914  41.0     1\n4  145.415  41.276872  51.0     0",
-      "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>height</th>\n      <th>weight</th>\n      <th>age</th>\n      <th>male</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>151.765</td>\n      <td>47.825606</td>\n      <td>63.0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>139.700</td>\n      <td>36.485807</td>\n      <td>63.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>136.525</td>\n      <td>31.864838</td>\n      <td>65.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>156.845</td>\n      <td>53.041914</td>\n      <td>41.0</td>\n      <td>1</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>145.415</td>\n      <td>41.276872</td>\n      <td>51.0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>height</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>age</th>\n",
+       "      <th>male</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>151.765</td>\n",
+       "      <td>47.825606</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>139.700</td>\n",
+       "      <td>36.485807</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>136.525</td>\n",
+       "      <td>31.864838</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>156.845</td>\n",
+       "      <td>53.041914</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>145.415</td>\n",
+       "      <td>41.276872</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    height     weight   age  male\n",
+       "0  151.765  47.825606  63.0     1\n",
+       "1  139.700  36.485807  63.0     0\n",
+       "2  136.525  31.864838  65.0     0\n",
+       "3  156.845  53.041914  41.0     1\n",
+       "4  145.415  41.276872  51.0     0"
+      ]
      },
-     "execution_count": 63,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2018,15 +3398,62 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": 86,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "              mean      sd   hdi_3%  hdi_97%\nmu_female  177.507  19.966  141.090  215.392\nmu_male    178.203  21.419  139.391  220.222",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mu_female</th>\n      <td>177.507</td>\n      <td>19.966</td>\n      <td>141.090</td>\n      <td>215.392</td>\n    </tr>\n    <tr>\n      <th>mu_male</th>\n      <td>178.203</td>\n      <td>21.419</td>\n      <td>139.391</td>\n      <td>220.222</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu_female</th>\n",
+       "      <td>178.347</td>\n",
+       "      <td>19.922</td>\n",
+       "      <td>142.946</td>\n",
+       "      <td>216.587</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_male</th>\n",
+       "      <td>176.951</td>\n",
+       "      <td>22.905</td>\n",
+       "      <td>134.581</td>\n",
+       "      <td>218.783</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              mean      sd   hdi_3%  hdi_97%\n",
+       "mu_female  178.347  19.922  142.946  216.587\n",
+       "mu_male    176.951  22.905  134.581  218.783"
+      ]
      },
-     "execution_count": 64,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2047,7 +3474,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sex = d[\"male\"].values"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### 5.48"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -2057,35 +3500,152 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [mu, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [sigma, mu]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean  ess_sd  \\\nmu[0]  134.930  1.685  131.828  138.173      0.022    0.016    5734.0  5734.0   \nmu[1]  142.596  1.736  139.574  146.149      0.022    0.016    6026.0  6026.0   \nsigma   27.441  0.831   25.918   29.028      0.011    0.007    6198.0  6156.0   \n\n       ess_bulk  ess_tail  r_hat  \nmu[0]    5739.0    2895.0    1.0  \nmu[1]    6024.0    3136.0    1.0  \nsigma    6239.0    3126.0    1.0  ",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n      <th>mcse_mean</th>\n      <th>mcse_sd</th>\n      <th>ess_mean</th>\n      <th>ess_sd</th>\n      <th>ess_bulk</th>\n      <th>ess_tail</th>\n      <th>r_hat</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mu[0]</th>\n      <td>134.930</td>\n      <td>1.685</td>\n      <td>131.828</td>\n      <td>138.173</td>\n      <td>0.022</td>\n      <td>0.016</td>\n      <td>5734.0</td>\n      <td>5734.0</td>\n      <td>5739.0</td>\n      <td>2895.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu[1]</th>\n      <td>142.596</td>\n      <td>1.736</td>\n      <td>139.574</td>\n      <td>146.149</td>\n      <td>0.022</td>\n      <td>0.016</td>\n      <td>6026.0</td>\n      <td>6026.0</td>\n      <td>6024.0</td>\n      <td>3136.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>sigma</th>\n      <td>27.441</td>\n      <td>0.831</td>\n      <td>25.918</td>\n      <td>29.028</td>\n      <td>0.011</td>\n      <td>0.007</td>\n      <td>6198.0</td>\n      <td>6156.0</td>\n      <td>6239.0</td>\n      <td>3126.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:06<00:00 Sampling 4 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
-     "execution_count": 65,
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 26 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu[0]</th>\n",
+       "      <td>134.917</td>\n",
+       "      <td>1.659</td>\n",
+       "      <td>131.841</td>\n",
+       "      <td>138.012</td>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>5223.0</td>\n",
+       "      <td>2650.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu[1]</th>\n",
+       "      <td>142.589</td>\n",
+       "      <td>1.721</td>\n",
+       "      <td>139.319</td>\n",
+       "      <td>145.866</td>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5374.0</td>\n",
+       "      <td>2637.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>27.419</td>\n",
+       "      <td>0.839</td>\n",
+       "      <td>25.822</td>\n",
+       "      <td>28.919</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>4779.0</td>\n",
+       "      <td>2871.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "mu[0]  134.917  1.659  131.841  138.012      0.023    0.016    5223.0   \n",
+       "mu[1]  142.589  1.721  139.319  145.866      0.023    0.017    5374.0   \n",
+       "sigma   27.419  0.839   25.822   28.919      0.012    0.009    4779.0   \n",
+       "\n",
+       "       ess_tail  r_hat  \n",
+       "mu[0]    2650.0    1.0  \n",
+       "mu[1]    2637.0    1.0  \n",
+       "sigma    2871.0    1.0  "
+      ]
+     },
+     "execution_count": 87,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "sex = d[\"male\"].values\n",
-    "\n",
     "with pm.Model() as m5_8:\n",
     "    sigma = pm.Uniform(\"sigma\", 0, 50)\n",
     "    mu = pm.Normal(\"mu\", 178, 20, shape=2)\n",
-    "    height = pm.Normal(\"height\", mu[sex], sigma, observed=d[\"height\"])\n",
+    "    height = pm.Normal(\"height\", mu[sex], sigma, observed=d[\"height\"].values)\n",
     "    m5_8_trace = pm.sample()\n",
     "\n",
     "az.summary(m5_8_trace)"
@@ -2095,12 +3655,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.48"
+    "#### 5.49"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 88,
    "metadata": {},
    "outputs": [
     {
@@ -2110,37 +3670,170 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [mu, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [sigma, mu]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean  ess_sd  \\\nmu[0]  134.936  1.620  132.140  138.104      0.021    0.015    5872.0  5868.0   \nmu[1]  142.535  1.719  139.382  145.792      0.024    0.017    4937.0  4937.0   \nsigma   27.404  0.861   25.779   28.967      0.011    0.008    5662.0  5646.0   \ndiff    -7.599  2.396  -12.133   -3.220      0.033    0.023    5421.0  5348.0   \n\n       ess_bulk  ess_tail  r_hat  \nmu[0]    5844.0    3142.0    1.0  \nmu[1]    4936.0    2557.0    1.0  \nsigma    5644.0    2913.0    1.0  \ndiff     5433.0    2828.0    1.0  ",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n      <th>mcse_mean</th>\n      <th>mcse_sd</th>\n      <th>ess_mean</th>\n      <th>ess_sd</th>\n      <th>ess_bulk</th>\n      <th>ess_tail</th>\n      <th>r_hat</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mu[0]</th>\n      <td>134.936</td>\n      <td>1.620</td>\n      <td>132.140</td>\n      <td>138.104</td>\n      <td>0.021</td>\n      <td>0.015</td>\n      <td>5872.0</td>\n      <td>5868.0</td>\n      <td>5844.0</td>\n      <td>3142.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu[1]</th>\n      <td>142.535</td>\n      <td>1.719</td>\n      <td>139.382</td>\n      <td>145.792</td>\n      <td>0.024</td>\n      <td>0.017</td>\n      <td>4937.0</td>\n      <td>4937.0</td>\n      <td>4936.0</td>\n      <td>2557.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>sigma</th>\n      <td>27.404</td>\n      <td>0.861</td>\n      <td>25.779</td>\n      <td>28.967</td>\n      <td>0.011</td>\n      <td>0.008</td>\n      <td>5662.0</td>\n      <td>5646.0</td>\n      <td>5644.0</td>\n      <td>2913.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>diff</th>\n      <td>-7.599</td>\n      <td>2.396</td>\n      <td>-12.133</td>\n      <td>-3.220</td>\n      <td>0.033</td>\n      <td>0.023</td>\n      <td>5421.0</td>\n      <td>5348.0</td>\n      <td>5433.0</td>\n      <td>2828.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:06<00:00 Sampling 4 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
-     "execution_count": 66,
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu[0]</th>\n",
+       "      <td>134.905</td>\n",
+       "      <td>1.611</td>\n",
+       "      <td>131.675</td>\n",
+       "      <td>137.702</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>4446.0</td>\n",
+       "      <td>2397.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu[1]</th>\n",
+       "      <td>142.549</td>\n",
+       "      <td>1.812</td>\n",
+       "      <td>139.378</td>\n",
+       "      <td>146.043</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>5731.0</td>\n",
+       "      <td>2735.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>27.427</td>\n",
+       "      <td>0.839</td>\n",
+       "      <td>25.946</td>\n",
+       "      <td>29.074</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>5345.0</td>\n",
+       "      <td>2909.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>diff</th>\n",
+       "      <td>-7.644</td>\n",
+       "      <td>2.376</td>\n",
+       "      <td>-12.163</td>\n",
+       "      <td>-3.384</td>\n",
+       "      <td>0.033</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>5343.0</td>\n",
+       "      <td>2818.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "mu[0]  134.905  1.611  131.675  137.702      0.024    0.017    4446.0   \n",
+       "mu[1]  142.549  1.812  139.378  146.043      0.024    0.017    5731.0   \n",
+       "sigma   27.427  0.839   25.946   29.074      0.012    0.008    5345.0   \n",
+       "diff    -7.644  2.376  -12.163   -3.384      0.033    0.024    5343.0   \n",
+       "\n",
+       "       ess_tail  r_hat  \n",
+       "mu[0]    2397.0    1.0  \n",
+       "mu[1]    2735.0    1.0  \n",
+       "sigma    2909.0    1.0  \n",
+       "diff     2818.0    1.0  "
+      ]
+     },
+     "execution_count": 88,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "# With PyMC it's easier just to create a deterministic that includes both values\n",
-    "sex = d[\"male\"].values\n",
-    "\n",
     "with pm.Model() as m5_8:\n",
     "    sigma = pm.Uniform(\"sigma\", 0, 50)\n",
     "    mu = pm.Normal(\"mu\", 178, 20, shape=2)\n",
-    "    height = pm.Normal(\"height\", mu[sex], sigma, observed=d[\"height\"])\n",
+    "    height = pm.Normal(\"height\", mu[sex], sigma, observed=d[\"height\"].values)\n",
+    "    \n",
+    "    # With PyMC it's easier just to create a deterministic that includes both values\n",
     "    diff_fm = pm.Deterministic(\"diff\", mu[0] - mu[1])\n",
+    "    \n",
     "    m5_8_trace = pm.sample()\n",
     "\n",
     "az.summary(m5_8_trace)"
@@ -2150,20 +3843,122 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.49"
+    "#### 5.50"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 89,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n\n   perc.lactose  mass  neocortex.perc  \n0         67.98  1.95           55.16  \n1         63.82  2.09             NaN  \n2         69.04  2.51             NaN  \n3         71.91  1.62             NaN  \n4         53.22  2.19             NaN  ",
-      "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>clade</th>\n      <th>species</th>\n      <th>kcal.per.g</th>\n      <th>perc.fat</th>\n      <th>perc.protein</th>\n      <th>perc.lactose</th>\n      <th>mass</th>\n      <th>neocortex.perc</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Strepsirrhine</td>\n      <td>Eulemur fulvus</td>\n      <td>0.49</td>\n      <td>16.60</td>\n      <td>15.42</td>\n      <td>67.98</td>\n      <td>1.95</td>\n      <td>55.16</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Strepsirrhine</td>\n      <td>E macaco</td>\n      <td>0.51</td>\n      <td>19.27</td>\n      <td>16.91</td>\n      <td>63.82</td>\n      <td>2.09</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Strepsirrhine</td>\n      <td>E mongoz</td>\n      <td>0.46</td>\n      <td>14.11</td>\n      <td>16.85</td>\n      <td>69.04</td>\n      <td>2.51</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Strepsirrhine</td>\n      <td>E rubriventer</td>\n      <td>0.48</td>\n      <td>14.91</td>\n      <td>13.18</td>\n      <td>71.91</td>\n      <td>1.62</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Strepsirrhine</td>\n      <td>Lemur catta</td>\n      <td>0.60</td>\n      <td>27.28</td>\n      <td>19.50</td>\n      <td>53.22</td>\n      <td>2.19</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "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>clade</th>\n",
+       "      <th>species</th>\n",
+       "      <th>kcal.per.g</th>\n",
+       "      <th>perc.fat</th>\n",
+       "      <th>perc.protein</th>\n",
+       "      <th>perc.lactose</th>\n",
+       "      <th>mass</th>\n",
+       "      <th>neocortex.perc</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Eulemur fulvus</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>16.60</td>\n",
+       "      <td>15.42</td>\n",
+       "      <td>67.98</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>55.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E macaco</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>19.27</td>\n",
+       "      <td>16.91</td>\n",
+       "      <td>63.82</td>\n",
+       "      <td>2.09</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E mongoz</td>\n",
+       "      <td>0.46</td>\n",
+       "      <td>14.11</td>\n",
+       "      <td>16.85</td>\n",
+       "      <td>69.04</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E rubriventer</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>14.91</td>\n",
+       "      <td>13.18</td>\n",
+       "      <td>71.91</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Lemur catta</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>27.28</td>\n",
+       "      <td>19.50</td>\n",
+       "      <td>53.22</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n",
+       "0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n",
+       "1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n",
+       "2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n",
+       "3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n",
+       "4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n",
+       "\n",
+       "   perc.lactose  mass  neocortex.perc  \n",
+       "0         67.98  1.95           55.16  \n",
+       "1         63.82  2.09             NaN  \n",
+       "2         69.04  2.51             NaN  \n",
+       "3         71.91  1.62             NaN  \n",
+       "4         53.22  2.19             NaN  "
+      ]
      },
-     "execution_count": 67,
+     "execution_count": 89,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2177,12 +3972,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.50"
+    "#### 5.51"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 90,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2193,12 +3988,32 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.51"
+    "#### 5.52"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 93,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 93,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d[\"clade_id\"].max() + 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
    "metadata": {},
    "outputs": [
     {
@@ -2208,25 +4023,68 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [mu, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
+      "NUTS: [sigma, mu]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "<Figure size 600x440 with 1 Axes>",
-      "image/png": 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\n"
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x316.8 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -2234,8 +4092,8 @@
     "\n",
     "with pm.Model() as m5_9:\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    mu = pm.Normal(\"mu\", 0, 0.5, shape=d[\"clade_id\"].max() + 1)\n",
-    "    K = pm.Normal(\"K\", mu[d[\"clade_id\"]], sigma, observed=d[\"K\"])\n",
+    "    mu = pm.Normal(\"mu\", 0, 0.5, shape=[d[\"clade_id\"].max() + 1])\n",
+    "    K = pm.Normal(\"K\", mu[d[\"clade_id\"].values], sigma, observed=d[\"K\"])\n",
     "\n",
     "    m5_9_trace = pm.sample()\n",
     "\n",
@@ -2246,12 +4104,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.52"
+    "#### 5.53"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2262,12 +4120,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "#### 5.53"
+    "#### 5.54"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 98,
    "metadata": {},
    "outputs": [
     {
@@ -2277,24 +4135,213 @@
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
       "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [mu_clade, mu_house, sigma]\n",
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 3 seconds.\n"
+      "NUTS: [sigma, mu_house, mu_clade]\n"
      ]
     },
     {
      "data": {
-      "text/plain": "<IPython.core.display.HTML object>",
-      "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='0' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n      \n    </div>\n    "
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
      "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "text/plain": "              mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_mean  \\\nmu_clade[0] -0.320  0.288  -0.869    0.197      0.005    0.004    3249.0   \nmu_clade[1]  0.351  0.288  -0.199    0.863      0.005    0.004    3674.0   \nmu_clade[2]  0.396  0.343  -0.271    1.021      0.006    0.004    3565.0   \nmu_clade[3] -0.443  0.320  -1.047    0.164      0.005    0.004    3538.0   \nmu_house[0] -0.337  0.301  -0.933    0.209      0.005    0.004    3289.0   \nmu_house[1]  0.468  0.328  -0.143    1.080      0.006    0.004    3417.0   \nmu_house[2] -0.042  0.299  -0.604    0.511      0.005    0.004    3824.0   \nmu_house[3] -0.118  0.289  -0.643    0.443      0.005    0.004    2919.0   \n\n             ess_sd  ess_bulk  ess_tail  r_hat  \nmu_clade[0]  3120.0    3246.0    3252.0    1.0  \nmu_clade[1]  3381.0    3682.0    3422.0    1.0  \nmu_clade[2]  3065.0    3563.0    2920.0    1.0  \nmu_clade[3]  3045.0    3544.0    2949.0    1.0  \nmu_house[0]  3264.0    3291.0    3295.0    1.0  \nmu_house[1]  3353.0    3453.0    2917.0    1.0  \nmu_house[2]  2662.0    3852.0    3012.0    1.0  \nmu_house[3]  2919.0    2909.0    3312.0    1.0  ",
-      "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>mean</th>\n      <th>sd</th>\n      <th>hdi_3%</th>\n      <th>hdi_97%</th>\n      <th>mcse_mean</th>\n      <th>mcse_sd</th>\n      <th>ess_mean</th>\n      <th>ess_sd</th>\n      <th>ess_bulk</th>\n      <th>ess_tail</th>\n      <th>r_hat</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mu_clade[0]</th>\n      <td>-0.320</td>\n      <td>0.288</td>\n      <td>-0.869</td>\n      <td>0.197</td>\n      <td>0.005</td>\n      <td>0.004</td>\n      <td>3249.0</td>\n      <td>3120.0</td>\n      <td>3246.0</td>\n      <td>3252.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu_clade[1]</th>\n      <td>0.351</td>\n      <td>0.288</td>\n      <td>-0.199</td>\n      <td>0.863</td>\n      <td>0.005</td>\n      <td>0.004</td>\n      <td>3674.0</td>\n      <td>3381.0</td>\n      <td>3682.0</td>\n      <td>3422.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu_clade[2]</th>\n      <td>0.396</td>\n      <td>0.343</td>\n      <td>-0.271</td>\n      <td>1.021</td>\n      <td>0.006</td>\n      <td>0.004</td>\n      <td>3565.0</td>\n      <td>3065.0</td>\n      <td>3563.0</td>\n      <td>2920.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu_clade[3]</th>\n      <td>-0.443</td>\n      <td>0.320</td>\n      <td>-1.047</td>\n      <td>0.164</td>\n      <td>0.005</td>\n      <td>0.004</td>\n      <td>3538.0</td>\n      <td>3045.0</td>\n      <td>3544.0</td>\n      <td>2949.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu_house[0]</th>\n      <td>-0.337</td>\n      <td>0.301</td>\n      <td>-0.933</td>\n      <td>0.209</td>\n      <td>0.005</td>\n      <td>0.004</td>\n      <td>3289.0</td>\n      <td>3264.0</td>\n      <td>3291.0</td>\n      <td>3295.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu_house[1]</th>\n      <td>0.468</td>\n      <td>0.328</td>\n      <td>-0.143</td>\n      <td>1.080</td>\n      <td>0.006</td>\n      <td>0.004</td>\n      <td>3417.0</td>\n      <td>3353.0</td>\n      <td>3453.0</td>\n      <td>2917.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu_house[2]</th>\n      <td>-0.042</td>\n      <td>0.299</td>\n      <td>-0.604</td>\n      <td>0.511</td>\n      <td>0.005</td>\n      <td>0.004</td>\n      <td>3824.0</td>\n      <td>2662.0</td>\n      <td>3852.0</td>\n      <td>3012.0</td>\n      <td>1.0</td>\n    </tr>\n    <tr>\n      <th>mu_house[3]</th>\n      <td>-0.118</td>\n      <td>0.289</td>\n      <td>-0.643</td>\n      <td>0.443</td>\n      <td>0.005</td>\n      <td>0.004</td>\n      <td>2919.0</td>\n      <td>2919.0</td>\n      <td>2909.0</td>\n      <td>3312.0</td>\n      <td>1.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:07<00:00 Sampling 4 chains, 0 divergences]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
      },
-     "execution_count": 71,
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[0]</th>\n",
+       "      <td>-0.566</td>\n",
+       "      <td>0.285</td>\n",
+       "      <td>-1.122</td>\n",
+       "      <td>-0.037</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3013.0</td>\n",
+       "      <td>3275.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[1]</th>\n",
+       "      <td>0.388</td>\n",
+       "      <td>0.278</td>\n",
+       "      <td>-0.124</td>\n",
+       "      <td>0.912</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3204.0</td>\n",
+       "      <td>3134.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[2]</th>\n",
+       "      <td>0.712</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>0.113</td>\n",
+       "      <td>1.210</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>2822.0</td>\n",
+       "      <td>2996.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[3]</th>\n",
+       "      <td>-0.520</td>\n",
+       "      <td>0.309</td>\n",
+       "      <td>-1.098</td>\n",
+       "      <td>0.071</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3286.0</td>\n",
+       "      <td>3184.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[0]</th>\n",
+       "      <td>0.215</td>\n",
+       "      <td>0.296</td>\n",
+       "      <td>-0.343</td>\n",
+       "      <td>0.759</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3477.0</td>\n",
+       "      <td>3128.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[1]</th>\n",
+       "      <td>0.160</td>\n",
+       "      <td>0.311</td>\n",
+       "      <td>-0.418</td>\n",
+       "      <td>0.741</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3265.0</td>\n",
+       "      <td>3020.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[2]</th>\n",
+       "      <td>-0.471</td>\n",
+       "      <td>0.278</td>\n",
+       "      <td>-0.974</td>\n",
+       "      <td>0.060</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3269.0</td>\n",
+       "      <td>3085.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[3]</th>\n",
+       "      <td>0.153</td>\n",
+       "      <td>0.279</td>\n",
+       "      <td>-0.376</td>\n",
+       "      <td>0.674</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>2999.0</td>\n",
+       "      <td>2986.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "mu_clade[0] -0.566  0.285  -1.122   -0.037      0.005    0.004    3013.0   \n",
+       "mu_clade[1]  0.388  0.278  -0.124    0.912      0.005    0.003    3204.0   \n",
+       "mu_clade[2]  0.712  0.294   0.113    1.210      0.006    0.004    2822.0   \n",
+       "mu_clade[3] -0.520  0.309  -1.098    0.071      0.005    0.004    3286.0   \n",
+       "mu_house[0]  0.215  0.296  -0.343    0.759      0.005    0.004    3477.0   \n",
+       "mu_house[1]  0.160  0.311  -0.418    0.741      0.005    0.004    3265.0   \n",
+       "mu_house[2] -0.471  0.278  -0.974    0.060      0.005    0.003    3269.0   \n",
+       "mu_house[3]  0.153  0.279  -0.376    0.674      0.005    0.004    2999.0   \n",
+       "\n",
+       "             ess_tail  r_hat  \n",
+       "mu_clade[0]    3275.0    1.0  \n",
+       "mu_clade[1]    3134.0    1.0  \n",
+       "mu_clade[2]    2996.0    1.0  \n",
+       "mu_clade[3]    3184.0    1.0  \n",
+       "mu_house[0]    3128.0    1.0  \n",
+       "mu_house[1]    3020.0    1.0  \n",
+       "mu_house[2]    3085.0    1.0  \n",
+       "mu_house[3]    2986.0    1.0  "
+      ]
+     },
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2302,8 +4349,8 @@
    "source": [
     "with pm.Model() as m5_10:\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    mu_house = pm.Normal(\"mu_house\", 0, 0.5, shape=d[\"house\"].max() + 1)\n",
-    "    mu_clade = pm.Normal(\"mu_clade\", 0, 0.5, shape=d[\"clade_id\"].max() + 1)\n",
+    "    mu_house = pm.Normal(\"mu_house\", 0, 0.5, shape=[d[\"house\"].max() + 1])\n",
+    "    mu_clade = pm.Normal(\"mu_clade\", 0, 0.5, shape=[d[\"clade_id\"].max() + 1])\n",
     "    mu = mu_clade[d[\"clade_id\"].values] + mu_house[d[\"house\"].values]\n",
     "\n",
     "    K = pm.Normal(\"K\", mu, sigma, observed=d[\"K\"])\n",
@@ -2315,34 +4362,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Last updated: Sun Jan 17 2021\n",
-      "\n",
-      "Python implementation: CPython\n",
-      "Python version       : 3.8.5\n",
-      "IPython version      : 7.19.0\n",
-      "\n",
-      "pandas    : 1.2.0\n",
-      "scipy     : 1.6.0\n",
-      "pymc     : 3.10.0\n",
-      "sys       : 3.8.5 (default, Sep  4 2020, 07:30:14) \n",
-      "[GCC 7.3.0]\n",
-      "numpy     : 1.19.4\n",
-      "daft      : 0.1.0\n",
-      "arviz     : 0.10.0\n",
-      "matplotlib: 3.3.3\n",
-      "\n",
-      "Watermark: 2.1.0\n",
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%load_ext watermark\n",
     "%watermark -n -u -v -iv -w"
@@ -2351,7 +4373,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -2365,7 +4387,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,

From 702fd5488ee244f6aeffbf7f6ff182c0d0c3f2e9 Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Mon, 4 Jul 2022 09:58:20 -0500
Subject: [PATCH 02/10] fixing 5.19

constrained priors in order to allow sampler to run
---
 .gitignore                |    1 +
 Rethinking_2/Chp_05.ipynb | 1526 ++++++++++++++++++++++++-------------
 2 files changed, 994 insertions(+), 533 deletions(-)

diff --git a/.gitignore b/.gitignore
index 7bbc71c0..9cf9ed0a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -99,3 +99,4 @@ ENV/
 
 # mypy
 .mypy_cache/
+Rethinking_2/End_of_chapter_problems/Chapter_2_mine.ipynb
diff --git a/Rethinking_2/Chp_05.ipynb b/Rethinking_2/Chp_05.ipynb
index 3a555d7b..cabaefd9 100644
--- a/Rethinking_2/Chp_05.ipynb
+++ b/Rethinking_2/Chp_05.ipynb
@@ -433,7 +433,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
      ]
     }
    ],
@@ -458,7 +458,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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+foF3/jEfr61bDFx1Jc91w/UCO3cIXHetwCc/IfDt7wLf/6HEn7xXIBoFTpwE/vQvJLq7BX7zBQKf/QzwqlcKfOObEr/7Gonv/3ClVO6rXgm85MUC7/t/El/8T9Opo+bAwaOMrk4sbbicDXNztprr6RgdZRjYg8WFetAezwodJ09KzM5dWAOmZ1jz6qGg0ZBIJi/st4HAgzu3lLZR+mBRLNqEsFqVqNUu/Dy//JVEKvX4r9/FosTk5IW3YznBv+oKbkI+VGiagMvAQ6qDFgzQcy1AYa7TJeWtvk2lVpl36r8X9OzIs5PvsTGJ44OrnyQcEnj602yb4kJLCYRCErmzeOwebew7ILFnL++nUKCYymOJ3l4S2weLTPbCjkuluEEOrAzVfThoNDgHH4l12CFoDp6UqNVIzq67Dvj6N4BX/67AS198JuGSUuLHP5H4/T+QiISBb32dxy0PGbRqkh05KvHpzzB+o1q1H+i//RsN/f30svWtF6tKa6+GS3YK/Ms/Cxw9hqUwxm1bBb7wWf7+nnuB2+8gqXzPu4C3vgn4yU8lXvlqif/7GY0IXRd42UsEvvDvAvPzjpCAAwenY2Bg4HkDAwODAwMDQwMDA3+2yvevHhgYOKj+3D0wMLBztfNYkHJ1gkZpfbl0zNng9VHO+1wwzTMLnV7oC7/xOK4Bzc00lJdjZJQRBqejs+PsnozzYWycypbngkWyLtTwqlRYl2v/AeDuex9ce2ZmJMbGJJJJe5xOnCQZfzDIFx7c8Y8G9h+QmJx6aNZlubxSNv98ON2DVi5L3Lfn/CHEqyFf4O86OpgucOqUfQ/FosStv5ZL1/SvIvLRv4GbrOdDscTcu1Ra4uTJlf10cujsZQYWF1cSQ107k0Suhlt/zbyqh4OFBYmjx859rUrlzE0PAWB2js9SJAJcecXDa8dyXMjmxfT0I0ecAIaKLseefcDYGP/9SG1sNUzy/ZGRh38uh6A5eFJiz14qDu3dC7zkRWLVvLPZOYn3/qnEV/9L4qMfFnjfe7SlWOdsVqJU4p+XvFwin5doawMuv4zfP+PpAldf9fDzvjb2C7z/LzSUSsC3v2uTLgB4xcsFXv27AlJKfOVr9Mp9+lPAq38X+Np/MRTTCqPs7RH4iz/ToOvA+z9oOiGPDhwAGBgY0AF8BsBNALYA+N2BgYEtpx02AuDpg4ODOwB8GMDnz3XOxQTDaE7Hr26xwxoDgbN7ElpbaJythnxe4pZfS9xzL9ew5bjQ3B7ruMej2P3sHJBKr/xsbo75QaejWJSYnnlobbyQW7M2qy5EeS6ZZO7THXcyRHS19p4LlrJfby/FnADA7QF8fuDe3fKCIhuCwbOHzj1WqNUkJiaBkVHgzrslhkce3PgcOnLhSn/1+pmbEB4PcP21QCz20N6tJGkU/CgtC1krFCRGx/lMRKOMYFkOKYFIGHC5sCqmpu12ej1U6ZuaYoHoC0UwCKxdlpckJct1pNMSi4tn7+fJqTNz1SoVkr0LfcYjEeZmnQtHj5256VFvkHSbJkP3lnv+s1mJbO6hPb/ZHPPtzwfTPH/oYb1uFzw/clRCmvIM4n86lneb5Sx/pDa3Gw0+x5s2PXz70CFoDp50qNUkrrla4JqrgWc9C3jd76/8XkqGCr7uDyTW9AJf+Q/mdR0+YoctfuBDEvv2Az6fwKf/WSAQoAT+NVc/OmIcpRJ3uVZbb4UQ+Od/1NDbIzA8LPDr24Gvfkng2c9iO//0z0yMjPKHui5wzVUMebz7HoekOXjK40oAQ4ODg8ODg4NVAN8C8OLlBwwODt49ODiYUv+9F8B59F3PRDYnIQGklAR/ZwcwsHH1Y0fHgKFTq3/XaDCEuVhi3cRMxn6GL+RpbjQkypXze/GW45Fc0apVm6BYyOXPDPcslyVGRiWOHH1krnv02JlkwjK4LkTbyfJ6SADitPZnsxJz8+fuzHyefwoFu9/DIeYcXWiIVj6/klQ8HhgbBwp5EqVQEPC4z/+b5f07PMz87QvBsePAxMTKz6SkyEc+/+DfXR43vbcp9SQvN7g9HnqtpTzTk2Vh7z5gfuHM81YqEkePYQXJDgaZb/hghEy8XoH+fnbWnXdL7NkLtLVy7g2fw9ty6S7+WQ5NA3znqde2HBcikW/N2+WkzzAENEHSkcsD9Zp9/O77gV//uvqQwoGrFyjIsaEPiMXOfcyBBygGJKXE9AyJ5EOBNV/GxyVODZvIPUTyaTb4HKfT5/79vv3nJ7hPgTRWB08lTE1J/PG7JD72UYk3vN4uAG1hZkbiox+TmJwCPvZ3zBf727+X+MiHBBYXGboAAP/4MTvMsbf30VdIbG4WePvbBHI5iX/6lIm3/6FAPH7mdbdsFviXf+Y9TU1LvOqVfLG/6S0Sz/sNiTe/SeD5N1Fg5IN/I/HhDwJXXuEoPDp4yqILwHIzcBLAVec4/g0A/m+1LzRNQygUQiTSwLq1EqGQ/fq8864qImGBrVt0hEIaqjUTs7PmimOWGtRpom89EAqduT86PFLH0FAVl+zk74olHd3dOnzeKiYngVjMQHfXmb+77fYatmzWUakCp4Zr8HkFAgEXDEMoT8XqtRN93ioggFDoAizxC8CWLSYMQyzVxbKuUa9rS32h6zrS6QBCIYmXXfXQTJCAvwGft7HU7mSyCk0Ddu6w76NalfB5awgEjFX7ejn8/jp8XlpoLpdArSaXzr13fw2losSGvrP3USRiIp0x1b915HISuVwFPh/Q0eFGKKSdV2nX560ieAFtBdiHIRWPd/sdNcRiAtu3PXxzLpOtoVCsw+cTGBvnfFttDi9vs99vj21XZwXzixKh0PnZg9tVhKbpCIVsV3OhIDE6VsOVbXY/ZLM0Ypcr+XEjgxuoFqLRGoIhHdKUcLtrCIV0hEIudbwJQ68iEPDAMICBjY0VfXj55Sb8PgGPB2ekKAQCnEfBoAsul0ChYEJovH653Fjx7Gzb2kDDBEKhMxPMJidNHDpcx03Pc+Paq02kUlWMjZnYvs0HKbHimQFIUj0eIJUqw2wAmzbpGBnVsGlARygkcNPzThuHgL7iuhbREkLg5FAD09MV7NxhnPVZ9/n4DBw6LHDdtey3aKQKsyERCLjR1AR0dgJ+1ec+bxUPHDSxaVMAG/tX3u/hI3XEYhq6Olefy+WyCZ+3ft51Z9/+GnZs18/5TEhZg88rEQy64PPWIAQQ8OurjoHPy52iYNAFt1vA560ioPrN662hVpPI5TXMzZmo1zVc3vngn6lS2YTHXUcypaGn5+y/LxaraDTOnYjoEDQHTxpUKhLv/6DE2rXAL29hSGAmwzCAcBh42zskTp0Cnn8T67VsGuDO7mtebYctWni8ZOt9PoZHvekPJT7yIRKy02ERzve9W6BeZ9z9L38lsZgEXvNaife+G3jaDQKf/ASlXk1TXnBenAMHTzKsNvFX3bYcGBi4ESRo16/2vWmayOVyyGYlRkaBvvXLNn+ERFcXxQNyOYFDhySSKYYeU32Vu97JJJ/vqanV15hCwUS1BkDUUVK5LrmcQKnMJp84AURWkZxOJCVGR7lzu7AgEY8L5HJlGIbA/Xsk0hmsmu9VKktoAsjlzr2lPTsnkUoBm88TtrNnj4mxceCVr7ANqlJZolLmfQDA3n1enBouoqWZYVXPe+6DD+QpFCVKZeB/vl/GM5/B+9b1M+9DCIl8/vzreaEgl7xXDZOeQOtcpRK/s/7faEjU6ytVAut1CZ+X4ViJBD0itZqExwvsvq+KPRpwzTUC4dDZ2+FySdTqdj+thuFhiWoNuOLyMHJKOWIxIZHNAWvXPLw1PpeTEAD8folojN6kTKZ6zvaUyhIeN9vM96xUz8D53RitrSai0RpyORrN+TwVl6+/TgCoLAljTEzy+elZttE6PCxxaoRz+sRJia5O1rByKy9aICBRqfAZAIC5eRMnhoB0ugKPR0NvD9BoGEt96HbR4+F2A273yvut1azxL8PlEigWpSKvWDEvAKC93erLM+83X7Dn0cSECZcBVGvA3Hwd990vsW2rwLq19rVv/bXE5s3AySGJUBBYs1Zg6BTgMoB4nPlUz7qRhLJUligWVs6de3dLaBo3aMtlqe6jftZnvaieqVIZyGZLmF/gulIsAtlsBVIyN9NaR0plCSkNJBIF5NpX9lksZq0rq8+dYlFCN86/7ui6xOzsuZ/fUkmiUuX4lMpAtSLRaIhVr22to7lcGW43+62g+s1aA/Qcbcl6feU59u7jmn6+vFlpklgXCud+lk1TIpsBgLOr6jghjg6eNPjEP3OBfcfbgZ07+Nm/f4HhjO94t8TsDPChDwDvfoeGr35Jg8fDF+bAxouHvBiGwHvfJfDa1wi8670S3/ufs8eZa5qA2y0QiQAf/6jA339Ew7OfTY/g+z9ooq2Vhaw/9BH2gQMHT0FMAlgueNwN4IyU+4GBgR0AvgjgxYODg4kLOfHyEKpSiWTj5BD/n12mIrb7PmDffiCdBvYdYH7P6XWYLLhcDMe6/FKGMJ0uuHE+dHTYIXXmUi7auX8zMSGROk84zugoc2HOh0yGdd5WtKl9ZT2qxUUTpTIN6qPHzjzHwUMPTkXRCt06fRWvVBgqutqZLOW21XC+t8HxQYZULUepRHJWq5GkRyI8kc/LTTIhzi92UK2e2XenIxIBotHzNPAhIJuTuPc+nvvKK7gJEPSTCJwLl+ygMAzAzQpNAxJnkTi/Z/fKXCtNW6mGuLDIXMCjxyQWE/Zx+fzKUgmzcxK1ZeGG9+6WGJ+QaI6z3p3fz40QK0yyUpGYU/LwpgnMzZ8Z4niXCjlMrPLkr/YcdbQzvPH08NX79zCHdDkKBZU6oT5OpyX++/vM52ptYcHqXPbMvNTWVoqZdHcDnmUOyVKJRNSaVwDDNu+5d+V1c3lbzfD0sOPzIZcHDh4CvB6B5z1XwO8XKJVWr9/oXsUJtrgATJ1D2KTRAE6dkvjFzedO/OrtZT+cC83N3Ni2xmdgAIg1nfs3q62J1pITiwI3PkNg65aVK0Hfeua6WWvT2daQRgOIx89fbL2lhQT9XHAImoMnBVJpE7vv5wssnRYYGhIwTYm1a4BvfAvYsgX49jcErr3m4p/yQgi8+DcFPv1Jge98T+IDH5IoFM5hUAiB9eu5mDznmQJ//X4uWK98NRfAV71S4HNfoPKjAwdPMdwPoH9gYGDdwMCAG8ArAfxw+QEDAwO9AP4HwGsGBwdPnO+EljN6taTyfF59t+xRc7noWbCOb28Dtmxe/dyW12zolMT9eyQWF+1QpVpNnpNYAMztsHbvLQPB55PoaD/777z+s4uWWDi94O/9eyQWFs48Z1srYJwmtJBIAt5lBqamUWghHhfYvm2lEWSaEnPz7INq1TxDJW81WPd5rlyzVEri8BEemM1K3H3Pyu9nZigIBZy9PIKFSmX5v7mBpusUjwFIsg3dJm3lMpU7m1cJWV8OU569NpZpSkxMSpTKcil/Z3FxdXXMhwKXQQ/kyCjwfz8DTgxJmBJYWCUnaznm5u2aU/U6N0h37Vz9PvP5lTleBw+tVNXTVJ7U1PRKojo/v1Le/dDhlXWuGg0Wn04mmSNVqQCJRdv4HRkBxlWQs5Q0wC/ZsbJtV6pi5qvtC3g8zMM6XVgil7OfdwvpzJl194Tg+9iClcvW1kpSummAtRFPFwJpbyP5SSaZF2itAxWV57l+ne3Bt9aW44MSN6+SX2c93+fa+DidUExNcb794mYSk6YmEqblCIfFqrla6QxFV86GeJwk93SYplyRu3X06PnrNG7ZLHD9MtGX+fnzr2erwVT9n89TbOR04RaPh+et17me3PLr1c/zy19J3PprEvNzlYs4cvT8JUkufmvVgYNz4Ic/lrj1NhN//zGql/3p+yhf/8wbgbe/U+JHPwE++QmBt71FO2vhyosVAxsF/vPzAqYJ/MeXLuxFvGmTwLVXa3jPOwV6eoB/+TTw3f+W+MgHgU992hEOcfDUwuDgYB3A2wH8HMAxAN8ZHBw8MjAw8NaBgYG3qsM+ACAO4N8GBgYODAwM7DnXOa2k9eXJ6I2GRGmZsRyN2IptDxyigVmtSeRyEn7/2UUBLAXGZIpiFfWGbTidGl5dxAAAbrgO2LCBJOH4cRKHXJ5J6Hv3nlvy2es9k4Cdjo4OIL5sV3rtGuDAQYl7d69kqcXyStU102SuTtOy31arvL9U6kyZck2jMaxpwI9+Apx4GATN4xG4bBcV1RJJFtk1VfjR6QIuk1PnL267Gu6+h0TM5aLxapr0nkoApSLDnBIJYOMGnJdMVatnrzNVLtNzd9ttlHcvlyX2PwDccdeDX8+PD0rccefK31UqJBamyb/DIbadZPbsURzJpO1BqVZJrnT97G2yNjcaDYlohNL2FoQGuD0svRBdVqi6VqdndjmWj3W5QtJiSrZl8IREahlRikZtL6ppMoQxFFophjE6JjnXVml6sUiyah2uaSQBmk6SBQCHj5zbGF+t5plh8JyTUwyZPt17d9fdEgceoCcmGKSoytYt3IQulYBbb7PJntUfpaJENCrPqOWnLRG0szZxBUFLJvmMHjoETE5iKZXidGXZbJYhiKdj65azK2ICnM9+v00w776Hmw0Liys99U1Nq4eLVip2rb7jg/RQWu1vNOxyFcXihddatH7vcnFjwhIOGh6RSkAOODbIvjyX4IrPR0/jyCgwfhaVTykZen36vD4dTg6agyccKhWJU8PcOSmXJf7137gD+NUvCUQjwLe+I/GfX5b4rZcBr/99cUZM+RMJwaDARz7El182K/Hlr0q87a3ivDkVXq/Af3xeIJWSeNsfS9x1N/CudwA7tj9GDXfg4CLB4ODgTwH89LTP/n3Zv98I4I3nO88DB+tob5MqmV/irnuA5zxLneMEDYM1a/j/piapQtEEtmziOlUuM8zx2HGJRBLYtvXMZzigQqauv5YGPg0wHrdpgOsbQAP3ll8Dz3wGlVvTGRrVALBuPQ3V224Dtm1jyM9y2fhf/kpi104KEwEMX5yZPbcMdy63MnStXKEx7nEDVy+TXImEgfgy74RlEI6MMJ/l6qsEvF62VdNsw7XRsA0syxgW4kyvgoXlxuTSv0/rzmxOYmYW2LpFIJk0YZqAlAKNBonu6aFTy+vHjY9TEa6z49zrbL1BclCt2Z61QIB5PF2dQCgCbNoEHDoisH0bjdLlSCb5LhvYyFyjq64UyOclgsHVr7tpE4sxA8x1ORfKKt/G67XPVa2yXpumn+655N9uN9u4mGAIXWvruY367m6pCBrzoRMJ4OZbgJ4eueK6AMe8WYXI1evsu0za/r45DsgNEvfdzw2Bnm7790JjyKLliVq31ib9lTLQqNMrGwioOSVtj0goBHR3AYEAQzBnZyUOHQFe8HzW/WpqEjh8ZKUC58p+JEGy7qdSpXerWKQHEeDz09lx5m+HRyRmZyVqdYEN6/mZdY2FBRK8fJ6bJJ2dK39rSvbnlVewDcMjVKjc2E9yd/llgKYxN9Q657FB9vPwCHDkKLB9m7omVl77fDg5pEJFE1ZOn0AySdXr5Vi7RkM4cubvk0k+Y2cLkS0USDg7O7m+NRrAwqJEuSxWkPZ40+oqjuMTVMPt7uaYL5+j69fZa+GDqaFmn0Ou2HxraeZc7d8gcNmlTENxueSqtfQAzj+LeJ1t46tYZD7b+YbD8aA5eMLA2vE6NQx86SsSpmniJz/lYv/5z3Kh+6N3SPz0/yT+5Z8F3vJG7QlNziwIIeDxCDRMoL2d5Gx84sJq68RiAl/6D+CVvwN84pPABz/M/DSrfpoDBw4uDLrOF+7UakV8JXdOLePiyBHmnpkmi/6m0zSyenoEOjtWNxxMU+L+vSR6d90NHDlGr0k2Cxw5InHihEQqJdWx/I3lJTh0GJie4e5vOsXPJ6doyMzN0fhdDkuKHCAxa47z+laY3+nweFaGLB0f5HpbPi3H3+UC5pZ5+az2pTPMawHs0LNIhKHZhYLEt7/DAtGWYWSa9EK63dyQWy1s63ScvtJXq+yTVErixEmSYylpPK0aurfsEoGALTF/+nnn5+WKAsP1GnPN8nnOAV2nOIxuMLfo1CmgXlvdO2O46OFZTHB+TE0B9+w+8zjLGzE8YteZW25ErvaWO3QY2H+A/779DpYhKBRIHk8nE5rGfKe2FrVJIBnOZeXVnY2k/eKXwL2qvdUaNygyGeCOu848NpuzNwqE4AbE9Iz9vddrib3IM+TrNcF+yeYY/qjr9LqUyxJ9fUA0xrk4O6fCSZtZgw7gvJufB44f5zuztRW48enAyIhcqvvV0iywaUCsajCbJsfWet963LQ5Ti/HoOvAlZcD111jfzYyQk+UoUscPc7PrGdiTS8J2KZNJCKnh0u6XLz23n225yqZ5PNsmhxzKQX27OMc6lsPrF8n4PGKM85lhYxeSMkJC+Uyn79QmJvD0Si90ad7U4ur1AycXwB6zlGspKVFoKMduPQSda0K8K3vAD/5qcStt9EjNjMj8b3/lSvyeQGGV4+OcVMeIJHv7gZ+dStTQY4cteerFTJ8uq1k3UJNRTUA9m8qlZUeT8PgtapViZ//gp7SUIgbIEND5pInz0Imw/svFOw1bzlSKbkU2rsaqV8Oh6A5eMLgH/9J4rY7JLZsFvj43wn86Cd0I3/i48Cvbxd441slrrgc+I/Pc7F9siEWFXjFy3lfn/msxOvewP44X0K916Phtb+n4eN/x1216RngL/5K4shRh6Q5cHChaGrSUKnYogjLEYnwpV4qcXfU4xXQde4Ml8t8yRsGyZ3PBwwP83eHj0jccSdr7ghBA1nXSCYsI7VapTFYqdqhNVbIkqbR+7RlM7ChTyj1Ov7G8gjV6vyzHMu9RfUaz3NqeGVO0HIS0tsjVpTruPpKGpenF3TOZIDZGRov1Spzsyx1QwvS5HFzcxKHDkvMztFg2raVsumW4bVzB9ulaRKbN519XKRkIWErn6PRoBFlFYyNRFTdKCUk0NxMr8RyWN68Q4fl0jnzZ8n7HZ+wCZ6UJLXFIhCLSiws0js6P29iYZGGZyLF869a41JdO6zIby4nVxRFtvDr24GAn/d07Bh/U6uvNLirVXvTLp1m328a4Hf5gsSePRIeD3OJlhMjgMZpsQQkUxKtLcDTricZzGToJTqbYV+usC/m502Egpy/LvfqRdLjTTbpdbsFrrgCePazOV7ZrMT8AjAxKRCL2SFqS/2kAdu3sjZbNMrws1PDfB5GR23vZbyJXrlMFiiruVkq8d5qdR5PoRBgcdF2z87Mci6evnFSKMilZ8V69lwu1T4pEfDzPnWd89TjofelUpFLoZFCsE92bKcCoNU11j0ePcq6iOn0ymtns0BTnPfm9/O627Zys6RSAe7fa3tJAauemsShQytzVaXkfW3ffvbIm7n5M/Pc3W7Ok8ET9Bbm88DR45zH9TrtjtExE+lVQoMHNvI3Z8PiogTESpK7dg29iJUKvfXzC0AscmahasuL6nLx3nbfJ/Gzn0vkc/T0V6oMv5ZSwq02Nlartzg3LzF4wv7OMqMiEXr+rHX+0GFuQhx4ADg1QoItJUPX9x3g3LLWSikZCeBXGzWrhfvWanyuGvXzh5Y7BM3BRY9Tw5zkL36RwOWX8rNqVeKFzxf48AeBf/sc8MubJT7zLwJveL22ar2fJxs++mGBV71S4DOflXjtHzDO+nwCArsu0fDf3xboaONu5zvfI5cKXDtw4ODcKBRM1Bt88W45jTBkMjRghkeABw7S0M9kJFwugXVrGWYVDNBLcOAB/h9gztHBw8C999FT3tnJXV+3m8ampUK4ZTMFNVpaKGdeLtPYMwyBQgG45RaGa91yKw0Nv5+hhIZOb9ly4gWsJAszs/yz3DitVCRuu2N51MLKXI7pGRqUldM8aM1x4IbrqVo5dIrhQL09K6/nUx6OYJC5GoEADaJ6nWFs9Tr7+J7d/C6VxlLxbY6DXFHI2MqbskjrL26WuPMuElVN4/fLlfjKZRpdy7Ftq02SAAoTnDiLXMzUlG2sGzq9VC4XvTcjIxw39h133i+7hESmvsr6XG9wDjQrwZR0ZvVcuLFxEhhDJ9FwubD0LrQweMLObazVaKjqiuyWyyQtC4tso2W4WggE7P4JBmjs9/cznHJg45m1wQC+g6MRemrvvU+JaaySnzMzQ7K+6xKgtVWFCVZYi3R8nIR39/3ckNi5XeLHP8EZudKWiImUQFsb79/yINbqVEK0VCHXryc5OKmKwdfrdm5nKs0Q46PHVop5WHNyaMi+brkscfe9JJDxJjvEMZFkAfkjx0ic83mJWlXiFzcD3/4ucN8ePuN33cPnOJ8H7rmHa8T+A3Yob7EIRKK89rq1gMugEqP1zLW1MUyzTYWZ1mrAnn0kEH6/wI1Pt+Xn5+dJNKSa68tVGysVEpaDh87+vl9YWDlu4+MSJ0/y2lu3cENHShJ+TRPYt58E0ucV0IwzxUfm51f3HllIpYGZGeD+Zdm+6TQLl0cjJOKhEOD2UO3QwvFBeoFdhkWM2I+TU5yzVj7k8DCJudcr4Pedmbsrpe35Pj1XLpkENvaLpRDbHduBa68BrricmwSmaYcw9q3n2N12B9elWo3nnp8HRsbOnjNcLnMNPR8Bcwiag4sa2ZzEX3+IO2wb+wUCAYEjR0w874XA574o8ZG/A665SuAL/y6wsf/JT8ws6DoLUn/jqwK/9yqBL39F4tWvPb8IiN8v8OEPCfzOb3Mx37tXYnjYIWkOHJwPk5MS4ZDAxCRD/CykUnIpFyWbtXfGSyWG0IyM0nBOJqlcuGM7c1gA7q5HwjRKKhWJvftoOBRLwNAwPUAACd+hwxLzCxLHBykO8ctf0fANBpmPM6fU7oZHGJLkMmjkjY+vDIcDaGQMneI5N/StDLVJJGwjcnnivXfZbu/kFBAMnSmxncvR2I5GaXjm86wZtW2rdT6Kl5TLzGtpa6MoyNQ0cOIkiVE0Shl7aZJIPPAABUMszM7RuLMgJdtv5bskEiSclTKNxHSGxNhURuavb6cs+3IcH+R4WR6egN8mN6fDOo+UEj4/vRuBAElYoQCMjElEowLVKsnxocPA3v22MWp5HwAamE0xSscPDUk0VhEfODnEMK/mJl7bZXA87t+zkmRs7MdSjpBhkBgcOmT3kaaR7Le1cl4shzWOkTCJ9e772bZSWWBqivN4OWZmTNxyK0mwlRc5MkqP0aZNqjjySYYgHj7KfKH//h+JH/2ETKlWoxF79Bi9n5kMc9kmJoG+PhJ9613Wv4Gk5MBBlbt0jGTN57O9HhYJn5omabzsUqBD3eNy72ViEcgXBJ79TGB0zFwah0hYQGjA2DJRB4vUV6usLWh5q2JRktx0hob6PbtpbJsmyVu1wjDKrk6l5qly2MbGGcrqdgPbtzGfKZfjWpBK0SOTL3B+NBqsYVYuAzNznMsWrBp7o2OAaRWj1thPHR38d3e3rRTr8ZBkBQNYNcxWSolMxgqp5AEuF71+DZN9PjrKDYxi0a4D6HKxrtixY2cKeRSLzPuzMDZmol43l11z5d/BIAlaKs21IJejLWN9Zpr0itdqDHOt1ZVH1iPwwCG55GXzeHiPmqbCaEsstXF6yKyUdmjm8mdBSoqB3HaHXHIM1Gq8n2SS47tcMGZxkc/LdddwPlrEzevlNZeHki9HqcT+Xbv23DarQ9AcXJRIJikLHw4JfOU/BcKqOGuhQFIWDFBB618/JfAHrxNPCa/ZajAMgd94rsDXvizw1jcJBINcZL7/g7OrSgkh8NY3a/i7vxX43BfAGnGz565H4sDBUx2zcyayWZWvIJd/Lpc8Sdbnbjd3m03Trss0O8/aP6USPUz/93MWpTYMHu9yAZs3MedD12i4hcM0BpqaaOxJk+RILjNMs1lg8CQ/27rVNhRyeRrckShDbo4PrvQ6WaQtlaahLwS9BvsOqJBM3fqekv/LQzufdj1g1s/MTZpbIMFMpSiOYH1/+KiE30fi53ELZDLA+AQJYibLpH6GJqr21El6HzhI0nH1lfY1+tYL9PcL1Go0misVErK5OX7v8fDP3AJV7T73RbmUS1Wvs7ByKIQVuSOVykpFQsAma43GypwzoXEMrFy2eoOkcV4pvx06pEIMNcCvRCv6++wxu/Mu4P9+LnHsuImDh+gxrVZ4nlqNBvHyaAhLvj+VpuHpcnG8WlpWFvAdn1i5Yx+NUIShWJRLOTUBpTB3upfLEoCJxjju4RBFHPw+eixOVyGcmyMBPDlE4lGvs29nZulhNE2J0XF7TKTk/Vlhb6akmmlTjPlVxQK9J8mUgAD70ZJXr1RoRF+lpPA7OxnemMnYqpBW2FulwrI6t99hh3F2tPO59HiAbJ62xaHDEsmkPXmPHJXYs2d15cHDh9kXlofZMMhztm6mgMShw5znBbUxUyiSUGUyPM7jViGiUuI5zxKoVID77pPYs4/9euw4vV/WJs/UND1t4+Mkch3twKZlZTmKRc6TkVGgVmUfnDqFJSJcLPAYS7m1WgWGTgmsWcN/m6a9QVAs8tm+7lqBySk7D87yYnvc9n2lUrbC4q5L7Bp25fKZoXqhsMSPfiKXrvX9H61UgLSehRmlAJnJSGzcyLDmYBCAELjhOm66SMmi3T/8sVwxb10uFVoo7bWsUGCfW+ub5UnM5rBUZsPC6V7kep3nD4V4/xbZOnqM5Hl6hnPb57XXtWyOmwdDp7BEHqVU3ni5ugKlEOzbWBQYPI9KrUPQHFyUyOUYTw3QWwQApbKJ3/odialp4DnPBv7jcxdXkenHE5om8IynC+zYLpBTdTx0nTkvq9UrAoArrxD48n9yQfu91wGf/ox53jBJBw6eqlgeZuUyJITgs7Jcmc8yZHt7aAx5PALtbXzpd3ZSFW/oFI1ry3io15m/Asil2kpWzlo+T1LW1SmwaRPgUWFWywmalQg/PEJPi9djtyOdIdmbmaXQiOUFME2qowUD9GT88EcrRYeYqyUxPgFkMzR8xydsw27vPpXXU6ORNzVt4tBhijv4/SQKe/ZyJ7xUljjwAFAocZ3yeln3qb2N4UHHByUkSDAsI9jrYx9t2EBiMjlFgmyaNK4fOEgPwuAJ4NbbJAzdDtPL520xCcMAejp5PxOTwOEj3N0+dtzeQZdSnpEvU67YJGZ4BLjl1zRssznuyPt8JI9WuJPLJZFO0Vit13mdYpF9v2MHSYx1vYGN/FxKoG+dMooF+3JsnETRqts1OiYhQCN0eobELJNVBl7TytCyYtHesa9U+OeWW4F9+0liy2USleHRM/ODrBDATIahkR4v53AoBFy668wQx3CYAifxuG0MmyaNz5FRXmtuTq4gdpXKslBTk8eMjPFdXyjSUzgzIzE5Ta+TBcOwSyVYnrdcjs+SYQA9XRQ2SaclYlGBXbtUHSxhPyPdXQxb6+7kZsX0DPu/WlX12zwkgctDA5dk9XX2m9X2CUve/fhKQRyrMLPbxfthnhrnbk4Z7r/8lRoLRaw8Hno0r7/eFuGZnuacm56m8EVHO9ceS5kQYCTMc57FiCJrU6Fe47Pn9dEbVauTjN58C10+Bw+xDaYJ/OpWbgJksnw2p6Yk1q3D0kZ4vsAcPlPS+wZw82Lndtpjp4btnLmOjjM3asbG+Jzt208P8vq1QC5vzyEpOXYTE8Btd5gYHOQmx4mT9nOcTNEb3hTj3HG77M0KwJ43Ljf7UUref71ODxVFnQR8Pj43pxeBd7u5iTUzwzXg2HH2eT6/Mtz78suAZzwN2LlDYNs25T2HRCwGXHM1SbpVD9BSDp2Z5ebFcmtq9312LUZr0856zs8Gh6A5uKiwb38d//N9iTVrBP7oD+3pmcuZeNVruKj/7d8A73j7E6+u2WOFcEjgL/9cg2EI3HUP8Luvkfjox0yMjp1Jvro6NXz3m4z5/t7/wAl3dODgLGhu0RAICEAyp+vkSYYlBgM02MNhoL1Voq2V6n1jYyQvo6PAQoIGRSgkcMlOGg9LqmFVqjbecScNFGnS8JicsnPQ9u2X+L+fUSL8dFjqe8EAjaHZWduQmZpi7pIlHGJ5SqRkkrrLRbW1eJzfa5rKc6rZuXSVqgQEQyW5UywxMUFVt84OhtrdfTcNrFqN1wgGBdauoaEiVUhQtUJjOJGUSKVpoPl8DAXLZpXHQdLjUasJzC+wBtPsHA0ZeqZI3OJNPLZQYD81NWFJ9joYYLuuvkosSd4vr5XW3S1wyQ4q66VS9BDNzgEQtiemWGBuIEDDuV5jXk4+D/hVuGS1xj601DZdLhKa2TneTzYHTEwBN99MQzOTBg4dMXHylERLC9t7akSRArXr7vPx/1bY4OioKsDcoBEoJT2KpgkMHl/pCdux3ZZVtxQRJ6ZsgxUAvOqdmTlNGc+U3NFPpwUWFmik1qr0VB04yHm+sMBQRID3vrBAw7e7m/06Osp+b2vle3p+wfayWGTICkVzu2l4ez387ZzqM00J5Qz080e338HQxwcOAnv2MiqkWuOxJ05y/Nev45yRkqUcjh+nmmT/BrEUvjc5xbmcSAL1hsCzbhQwDG2JYPd0cV75vFiKPLGeT8vDLQHkCyYKBXv8LS+MpfRI7w9TM3p7eK5CnvcoFMn1etlPl+ykp83jIVFZIloqn9KqK7f/AHDb7ZxPFg4fMfHNb5uQEkvk+9nPZC0+S700GKAXTVMiJUKJclgbMabJ8jsBVVahULBDWSNhEqWiksP3ePhMT07Ra5XN2uR7do615yxYYd1bNwNdnSx0vWefUjJV14UEOjoEIhHOm4ZJVU+3m+uM2aDCZrVKQl6uACeGgHvuta8zMSFRr0n0reOz5/WyjRmVx+nxMNS7VAK6OyVGx+z8PilJvHNZ3nehaDkDOJYBP5/3n/3CxBHlmTxxQuKOO7kJEgkL1KoMv37gIPs+EOAmlnUOS2nTQksLn+u5ea4H9TrOq7PvEDQHFxVCIT60y3FqWOIlL+ei/K2vAzdc70zbC8UrXi7w9S8L+P3Am94q8bd/Z55Rvd7v1/DtbzIk653vBd77pyayOYeoOXCwHG0tGubnTVSqEpUyDbLb7pBYWBTKGGCyeD4vMbcA1FTYYFMT82E0nZ7tdGalt6iQVwnvNYHNmxkys30rPRjhEI2J7i67PtWhwxKGAfT3Sbjc9OqMT66Uh7aMPSvcJhikB8m6pmkyxK9Wp/GazXK32wpFszzpiSQJnxBKbtpFw6KvD8jn7BpE0Rh39HM5GjfFAj1cnR3A5k2CHg3QoI+EBdIpGj1Hj9EAM00a+o0GSZ2ARLVCY8bvoyhLJsMco+Y4vR2xKL1wlQqN9YVFSnAXivzsgYMmikWbrFoy4WPjVNI8NUKxg2BQ4NpreL5KhbvpU9PLxqfI+7fECmoNO/erXCWhtcIhTZMEOxwm6Q34KXTQ08PQ1V/eDAwNrcxNMQyJwZM0qItFLBndAGvMuVwApPICuFQo6mniLELQkD85ZLfD72NYYCwmoOuWZ4AbCNHIyvVdSnoq29slbnoe85emZoDWNhr4brcyLK1QyIhYyklKpdlXLNQtYJokqps3WR5nuWScLwsURV+fwPXXsWh0OEKvjaaUUIdHOD8qqnh3NMJnoVqjyVuu8GRut8SxQRr3i4skNqUyNxKOD1L10qpRNzFBwlkoSNy7W6pcQDuf74EH+CzcdgdbWatLHDsusbjI+xwctPKTbOl1S1jGNOmtzueUp1TyGT96zA5ztbyd+TyfqTvu5NgOj3AzJxS0esa+j0SCzy5rKtqYnOJzks/T+6zrwL4HGI6pCZ7r0GH2X6UK7N/P85qNlflfmsZ+37lDLJUC4b3zHisVXvvyywRm5+jhtwjIyAj/XpgnSVtc5Ik1jeIZP/0Z58bcPBCPMTcRoPc9mZLIZUmeLa9lZyfXveY458H6tfTO+XxcZ6TkODfFSOCmZrh2nDzFOVMqU5Bmy2ae65Zb5dJzOjTMfl4uVpRK0VM8MQHcfz+JfjTKPwMDfG4Lqpj0iRMSu++3FRzTaYl8gZtu27aSQE/PSExMAdGoQEszCSPbzYuuXyfQ3S0wM8v5Hgqfl585BM3BxYGf/0Lif38g0b9Bx7NuFCs+f8ObGRbwob8G2tudKftg0d4u8K4/1vDNrzMc4jWvk/jK11YuDW6Xhs/9m4Y3v5GhSXffY+82OXDggJLJDxyigILHyxew30d59aLaVaeRYP/G5xPY0KdyLRpM5J+cVKFIXuu8/Nvvkxg+RYOgXudO8qlh5k5UqyQQy42rk0PA8eMCyQQNuUqFu8ZNce6AJxI0VKMRGmmlkv37clnil7ewrVb+mdd7ZvJ+exs9TgI0tubneY2hU0C8mYZlVxfPd/sdEu1tSpBD/X5hkd8lEljyzBw+0kBfH8Mbt26hl8eSrre8FvkCvTzMmaEnwRJl2LtP4pc387tCgQaeVactnaGC3hEVYhiN2vlrtSr7PbHIGnXTM8yJy2YlRkbswselEo+1CNr8PAmsUGGJ5RKN5nVrgUgIgCQ5yefp4ZubZ9u9XhrxzMmzSdzmTcroDNLrZXnBymVLOpwemEZD4o67lDS85HVaWlTuUU0ueSYBEpaxMYasjU+YyOc55nv2cIMzFGJ7y2Xg1tvOrLXW3ibgdtHYPnKU97Kmhx6inTtXisXweiwLcdWVbFexyHb5vBS3OHIEOHCA82p6Gtiz385lAqi0eeCAxO77WUJB1+zxvGc3+9zyZi4maNCPjgGTE7YHZH6Bnuz5BYZttrYyRO+6a/gMGIYddimEEqLIcCwMF/PaTZMbEmvXAJftWkmcqyrMNZvl9WZmSfaCQYa95QokhR3tlveGxKaQZy4ooARK1DUsa7zWsIk4BNDezvGz8getXM96ncdZeVWRsP1getxU/XS7BSDpzRZQRcxVnweDar4nOG71BttnpYwIIXDpLn5+5IiJctnuc0sKPhxm39z8KxOGztwzXReYU2GmmaxEPM421hskI6k0vV/5PHC7mr+RGPDr23ju7i5uPo2Os29n57i2jY7R9tB0YGKcG0aJRRLbSBh41e8ALa30Sv7yZlU2A8CGvmU1CwWf7USCxPiQCiksFFRo8zFgeprPTkszvb0eD0n1iROW8iPnfY/yDG/oA7ZtE+jq4jMkhJ0v2N9PAZlKhZEKLp1RE/k8N1MCAZI3ALj5V8z3A0gKc9mVhHE1ONaug4sCGzYwNt+CaUp87gsm/vGfmbj5x28Drr/Wma4PB81xgT95r4Yv/rtAXx8/Gzyxkoj9xnMoi/33Hwde8SqJkVFHPMSBA8DKByIpi4TtF3s4DLS109iYmKBxXq8DO7ZRLOP4SRoMReWJ6T5Ndr6tjd6TRoN5FwDws1/QK5RKAoODDDOamrYNyGoVOHSEIYzjEzTq1q6lgZFM2GFP2SyvXVWS85aBYNV2ymXZ/kiUbXa7aahWKjQsT5wgkYlESDQKRZKQI0cZZtjbS49fKEiiOTVNQ9PnpWFTq9EAu+xSkgsqHUosLPIahQJrHSWTSvhCGadS0vhNpqhil87QC7VpE/8OhymKkMqo8NKQvRstJUO6du4QaGoi6Qn42fZcnm3o6qIBmslIHD5KcYsJlQ8ydIqEqK6EB1wuGltj49w5l0qYZWTUDn377//hvVZrdu5RKsW5MDHFuVJSnpUjR2ncjo4CBw+xD8bGKApRLnHn/uAhjrEVuicECdfIqLpX88zd91PDwAMHgNtuUx4XKTE8aouZzM0DyTSJy+kiIeUyQwcXEvQ0nDrFvhoeAfbto3ek0bDD42ZmeM6jR5kL12jwM9Mk6XS5VHiuVCQns1JYp9FQeWYmidzCIg18r4dj09XJfrEKp+fyJMhr1liDrMoy5DhONUWmR0YkvvUdGrahINsTDNi15rweErlLdnDsx8a58bJzJ/vdIuGAvXGSzfF6Hg9w6CD75o47OcdbW9n2qSluvmQyJEeWOEpDbdoUi+z/YoF1/9xuYN063kNB5XtZBchbWzm/LMGYRIL9V63xHFR3ZC5mpUKyMT3DTSO3R+WOmZwDQZXPlcuR+LDINm+wXpe4fw+fOearcd6VSnKpsH2+QIJRq/E5P3SY126Os53lMj1J5TLJ8wMPSPzqVzxXOAK4Da4xd9/DfFGA91lRc1toFtHjvI5EuYHl9qg8XBfw458yp3P3/SSgqTTnvrXhVCza+Z2axjEwDK5TzWrTpVDgfM3m6QXOZiW8XqBSYy5urUYCPj2jPGYnGXZufTY0JDE/z+N03S4Efvgo8LNfAn19wg57bjAPUBO8plWD8pJLgPXrFGHMq+fXIWgOLmZ8/4cSP/qxRN96gS2blRhISeL9H5S48y4uei9+EfA7r3Cm6iOFNWsErr9WoFyW+OjH5FLYCsAd/3/7tMDatdy9+sY3gVrNIWkOHIyMNjA2ZhveqRQNhFPDNCosxa6cevlu2UzycOwYJdvDERKeiXEaD1bx32rV3u3fsIGG1Nq1DIGBoPHT1ESxhnx+ZU6VadKA0DXWJAoFea5g0BY08XhpnPb10eNlmhKGIdDcxJpRtZollsA2jU9QFl5oNJhMlcNkGEB7Gw15n5fGu2nSOK3VBa68gmGUsRiJ2p59vP+hIaBXGdYet50nMjHJXfN02i4M6/OpGkhBEmFDhea99MXM4brzLua7FZVSXryJ69TCIo1YgLvWY2PcsdYE22HVZJqYZG7Z5BS9Wy63bUxbRYWtkgDBEJDNMc/H7QLWrxUYn7BDVwGOjderCEYdgEmlxGCQBm0wSPn7TiVUYkqSzlTK9tAFgyQBqTQwPkkyfeQo81k6O+xwukoFSKc4JyyyQ9EHircsLAJVFZrWaDBMMxohWTp6jJ6oUsn29E1N2dbh7JwSk5L8TSRqz4lgkLW95uYZ5nXkqInpaRqillJjtUaj/PBReu0CAW64SsnfW3X/LCEMS749GuO9VCocx9Y2EvNbfk2iTAIjoWkC69YK7H9AoF6jR9DloiE8M8u+y2T4nLhd3BQYOsUNyIwiO1YIsK4BX/kaxWvWrQVamgVuvoUbIcGgXYfOCiMtFG2S3Npqe0YSCZIxSI718LC617C9kSJNCsEsVxcs5FRh+FOc77NzXB8ssaFUkvddrXEsBjYq1dEJzrVtW3mvuhIvSWc4PyYmGHZYq3M+LS7yOWR9QbZzeckBIdhX09OMsimWbI9jvkCPHMWBgI0bGZonVLhrc9ySv1fzJcx8ylQaGB7j3LC87eEwPWRWOGipRDKfSCql2hC9Vb29JIvxJnoVN/SR5GSz9FxZxcmvuUoVYFdezYUFHicln8f+DVyDvF6uudZzOr/AvgUYZjl4ggS/qwtL5S3iTZz3R45yngiNcyfWxHu0PKVVRVgDfm4m/PDHEkND7I9IWKCrk+NQqfJZTCRM+H0SwRDLmMwv8jpOiKODixpbt9ixyQCQSpl4x7slkkngNa8GPvMvAn/yHmeaPhrwegW+/EWB5rjAl74i8d//S29aKCTw2U8LPOtZ3El66cuBQ4cdkubgqY3ODg0eL41Sa5e2pXmlNyIcplHWqFFBz+tljk21SkNm61YBU3In2KdCHMsVkpF8nsatJehQVOF7iRTJXzpNo0nXbDlsq4BsMgWMTUg0JI2+kgrDy2RoVFSV4MPMrJLmz0iUKzxPuUxC5PXy37OzVDXM54HODoFMlmSsUmUbRka5kx+L0cjcvg3Y0Cfxy5slnn4D79MyBBcXaUD962dso7Jep4Hr8VBGPJ1lbsmddwEnT0nkchLZHNsfDtEj8P0f0ugcHSO5Oj7I883MMJQpFsNS7vLiItsaDqt8ufU2oaqo3KWZGUV2S1jyFiQSbPNtt/N3x48Dt97KazYazN9at4bGsBWKWSrR+A4FlaqdoMGXTvM6lQoN1UOHSBLzeVswIx4XGNgoVyjGWdCUZ+HOu5knaJFHw6XC40wsWXdTymMTDgMtccDnp1E9PUNyoetKyAMMPfR4+e/RMft6VuhiT4+lDgns2gl0tDPa4vgg76mznUZ9rkADu6OdJDqb5Txev45eirl5en2lOrclCmPJ2DcUARkdtRVLhcbnIBhgGFy8if2XzQJSqXfmcxLTM8rrGyERuv5aGuIW+WptY1iex8N+OHBAwnDRyK8r4mCo0NP77qd6pKaxbxcXGVqcTrMEAoAl71m5zHuNRvj7gsq/C4exVBRdSo7/5Zfxp16vUt80+Ry43ZzX5TL/XS6zz3p6sJSnOTHJNgYCJNwLi+z7ep1epJlZidl59uvQEPPZenvYZ8US50Yiyfnm9fJ8Xi9/n8uxNEOlInHiJLBtG+fWz35OsaOA3yoJwLFrVhsn+/dLeD0McRSC4dUNEyjkJQY2sh+sHMruDj4TvT1YoSegCXotW1t5v9Uqn0OXi/179BhJst8PLC5wk+jocVsk5KUvYrRBsci5ZUo7D66tnZtkc/MsOTI7p/rrPs51Chcxp81C/waGplvhyFbu49g4r5EvMGevtxfYsF7A42XB6kZDwqfCINvaeK+d7XZ+WiZDRUhL5r9QYAHzH/0E2L1bKYianEtWxMDZ4Fi+Dh4X3L+HdS36Nwj0b+Dbc2FB4g/eXEBnBxfWb32XcdIOHj1Y/XvVlcB3vivx538lkU5L+HwCf/lnGv71U9zd++dP8aXlwMFTFd1dAt3dDJOq1SzVOMrGd3fR4KrX6X0Ih2kwTs+w2Gqjzjpo+bzEhvUkEFZCfkmFP3m83HVdXFQGiEmjzazTQEsk7VCeWeX1kSaNgPY27oRPjGOpQLLfT2O9UFC7tcqgn5+n8mC+oDw9ysCsqfC8o+raxRLwwEGJQ0dISnbuoPEyPcW8E4/HFjOwirh++3v0XPh8PD6mQoxaW20D1jBorEUjWPLa5AvKmzBrewg1jd6BaJREraWZRqDPS0IUjthGkWV8Li5KuNwUGHjgIN8jJ4doaIWCACTv5eqraFxVq3ZB35LylJRKdhFkqx2hEMfakqq3YBgkh4kkjb8NfUq0oMwxrddInpYXlJ6eBjo66fnas5e79afLlHvcHJeFBYZa5bIqbCvF+WcVyzYMYHqKx+gax3t4mOQ1GARkg3Nncopt8PuBpiiP6+mxr1ev8/tajX1l6MC+A8Cdd0ns3SvhdtkqlS6Xyjmq03uq6bxGIECDvKuT7YpGbAVP6xqWZ8nKievfQE+opTQ5NkYinsly04FhjjyHrvNdtHkT56Elt39skHMkFmWbB0/wfAMbgWuvpudkZIRzQZr0Tre10dCenSP5TCb5jFo5ZzMzthqi5cU9fpybJfk8z9Xexud+bp4kyJortapdyL5Y5LMOyXnS2cn7CgRYj06afN7HxjivBk/IJfJRLACGRqJlGJxjmwa4kdDWSo9ZIkEP7cgocxoNnc9yR7sigGrzp6G889kclgo+j43z2ehV8yCV5nM4Nm4LXOTy7INiiWN7+528p+3bBfw+nv+ue2wispjgMxuJcD2bV0Rydpb3efOvKAySV+SxtZXz9MRJzpdtW5lPWKvznF2dXGcWFoD/+zm9rPsfYP+Ew7ZHNpFge30qtNDtYp+tXcN8zrZWjoGl9CrB9VcCuO8+rhUtzXZbkylufCwmgL17Jb7/Q4mJCW4UJZNAIMC1YHCQfdTby/vJ54FShW1obyM59PnoEdy1k+G/AD2/EIwmOBccgubgcUE4zB0yC5OTEm/7Y4nLdukYGQVufAbwb59+nBr3FMSWzQJf+iILXb/ujRJ79/GtGggIPOdZfAG87BXA7Xc6JM3BUxOmpCdEaACkCluScinksaqEJUaG7STyUoky4c3NNNxmZ4HjJ2gMSvX95JSqUWXSoOjp4U52Rwd3/NevpwfEIn2WmMD2bQI+v8BigkZCQ5G1QIA74/kcDZd8nr9dXOTvrKKujYaS0i6TUJTLKmQLNmHo6bG8RzRWTpxkiKA06f2o1ZRRnRVojiuilqDhfP8ekomWVp7j0GGec8tmHbk8DcFEgsa9FQ5YKPDcLoP3EovRuPntl9uhbOk0DXWzYe+o53I0hCcmues/OUUPRyKpQtaE8nTUOFZHjtBwisWAr3+D1wyo8NCODhpWkTCwqMLNPB4aXFPTJAweD4+p1TlGLhf74tSwHVbo9/G+4nF6VVqaSRKLJa6nzc28j4UF22tqEblKhSIs0zM8bzjC+9A0zkOvl/XVDIPiBX4/DePjx+hJmJyigd7axt/oGufN3Bz7KJcDjh2zmWYkzDGenWVb+/qoplyt0rNEZU/mAs0vsr2xqOoHJTDjcQM/+Smvsbho59gElEds21bbg7GwQDLR1cUxjETsGm/VKturayQAHo/KvRIkc5bATqPBvxMJqvDlCxxjS8p8337gJ//Huexy2cIjhw7xPro6NUQjwMGDnFPJlJ1vWG9w/tSqQHsHvbQuNw3/SsX2aPmUEExXp+0dzecpdpFMUGHRqs0VDPDfU1O8x/FJtjedsXOpGnWVmyXYf/Fm22NnbUisXy8wMcHPZ2b5XOm6lS9Kwjw8AlTLDJfVdUreW7XB5uZV/p8KZx0d5Rw1DJXrqHJDG6bt+TcM4OZbJGpViUKBIbXptAphVCGsVhhxOs0+P3KERDcY5HPWMO16cofUd/PzapzL9MY3GiTWXg8VYEMhzp9TwyqPTiM5rdd5/Nq1JMv5PIm1rvNPvsCQaOYYcn5PTPI+PB7e1/Aon+HebuBZz+RcrNWU8FOMXtC2VuDu3ZzTfj+/n5oB5heoaOl2c10YPMF7qFR5zoUEx9kWZQL+5wd2Hmqtxs2WI0fPHeToEDQHjynGJyT+7+cSAxsFrruWuwdDpyT+6B0SNz1PIBRi/Zt3vh3wepzp+VjC7xf4qz/X8La3CPzl+22lx7e/TcP/ex8Xz7//GDA84pA0B089LCb4Uk4luTvc1k4jNZG088/a2xj+lcvReLr9DlsFsFajMToxTsPD7wNu/TU/TylvwfAId8ZNk78TKt9obMzOCbKK/N5xF+t4ZTL0sHjcPGe5rEKVNHtnu1JhTpXQaKAYBs83McnfTk0pkQJlL5wa5vdej32uo0dpfHk9NGZ1nZ/TsKOnrdHgLr3Hwz/37+G91Ws0fnffL7Fvfx1+Pz0ImzYJ6CoXLJ2ya0kNDbMdjQYwOwN8+jP8d7sy5i3SlUpxDDramX80Pc2QsEKBfby4CNxwnSqKPAJk0zSSqnXWVbLUDk1p11I6clSFI+aAGUVYk0m+p9b0Msds7RrumqdS9FalkiTepuRYFwsUMMnlaJguLrL9lQpJQmIROHRIYHKC14+E2d6lgBFBozCVskPHPB7e27FjwH176jhxkuGos3NKDCPI8ShX7cK5s3Mcn21b6a1oNJSoTRvbO6mKLodC7JdQiAb//v383B+g99JUBG3dOvbJ/LzyBPlVnqOHBndbqy1As6A2ElwukvtTp3gfpmliaprem3vu5djrup3bUy6r3DST/cQaVHw2hMZ5WVTe32qV5MgiQZkMSeDOncr7M217tjra+ZvJGYYV1mocY9NkBElvD+eQJUV/7CgN/UqZRG1qGksCH8kUSfCJIV4nnWGf1pW3W0oKsgg1h91uetXu30PvSXOcobuJJAleU4xtb26mQEZrC/t2apqkrVDkPRw/Bhw9xhSQSy9lXmowyHkWDPL3jQb7c8cOboLPK4GYqSme6+Zf8VmYnuZc0DR67INqg2JuVimmpvk8RCOci9ZGyP4D9uZLTW00TU/TO9jaQon6VIreSyk5D2tVrlutLZzPQydtQjc9w/6p1pjDODLKfkymOPazczymp4fP3MQkx03XeR+GwXUrnSbZSyQ59wZPUsylVGJeoOURHB3lXEinOG9DYaqXDo/w+avVea/JpAphDXLzxsqJzalNBAgS20QCuO4a2yvscvF7t5tzrFTiu2BujvmwXi+JcyRiewDPBscCdvCYoljkBLdwaljiHe+WeMVvAz09Et/9XhUf+gDgcjlT8/HCc58j8O//JrD7PrmkKve839Dw758ReOlLgNe/EfjBDx2S5uCphd2766jXaQTV6/SUZbNiKVcsGKSh09rMF/3ARnt31zSBuknjva+P6+DhIzRqenuUSEjDlosulZWHy78yd8sylBsNYHQEuHc3Q/RyBRox+YLd3lSKhCCVtuW+Lfn9ep0GVryJxke5TEPCKmDscdOIGFSkw6OOTSTZtpZmnkvXlQBDlYn+msbrjY3RWMpkeO4NG2iQetx2Ps7MDAmCptHg3rhRyXtn7faPjQGdXVadOGUYaby+VDv8bg8NoD17eVy9ypA3j5vtuvc+EpvJaVXkOs5i0x6XCnNSnoR0hupqwQDHT9N5nm1b+f9vfYfnKJZJLk4NU2CpKUry2xIHvG72l2EoL5DB0MnOZaIBukYPTanE9dWq1WWFXwE04D1u5Zkp2GNZKjI8cf/++pLCn5VPN63yeSyyFgzSCxEMMaTVEmXo6qSRms/bsupDQzxPrUFjtVojIa/X6THw+uw5mEiy3xn2yf6bmmS7Mlkalfk8NzGyOeD+vcC993LezM+TIHjcav7F7bZYghSBgFLdW7T7pVTm3HK7OO+KRY7d4iKVB9Mp9sXRY1b5CYa5rukFxiZobJcrJBJ1NY+yOYlQGDChNihSSu1U531FYySnVt05TZFml5tEx9DZ1nKZ7TUMzt9iicTK7+e/zQbPnU4zH9IyzgMBEpdDR9jHhQLJyeEjal4rL6wp6anL50myM2n+9pZbqY7o83EOFQp83iwV0VqN/R+NkqStW6u8WKb93S9+yTGIRXlP5RI9pIwOYFsTiqh4vVRUbZjA2l6G6VYrEosJVcy9zvFbXOTcOzXM582USizD5NqZzVFBMaDmnlWYOxbjfZ8YBCDs9cnj4bM6Pa36MQU0t1DRs6AUHBNJllao1kgCW5pVGzs4L3q7SSSTKd7v+Dj/vZggAbxnt6qzV7VFa4aGuB5Ym3Dz85yTObWeQ3LeADzP+ATDi2s1hp26XTw+EGCe5Jpe5vD19bFdfj+/PxeMC3s1OXDw8JDLscjj058mqMADqki9530Sr/5dxtCfOAn80R96cdWVq2RNO3hMsXaNwGf+hTlqX/+GxLXXsODs5k0Ch4+Y+MQngXC0ihuf9ni31IGDxwb5gkQqbUums1CtXDKKKxX+PacS/A2DRmy5BBhuFmv9yU/4one7VZgRbG9Hucxd+B43jaxIhB6Ddd1q97mVBmK9TiO/s4NG5LHjACQNmu4uGkLpDH/bMBlWZ4kzFAs0kopF28OWSnGn3+2mEen38/N6g8RlYpLXtAQ2pqZIphYWaaxKSSPU66Vx4lOGebVK4zaX4453MsX2HT0mMHSK38XjPM5Ss3O72YcBP6C10Phq1HkPExM0Nt1uhiqWK+zjGbUDrwn2dXMz7+PkkO29aG5mn1l5JQCNpFiMno3muMr1cdGonJ5h4n+hSKOvXidBmZ3lNTSNnqxEws5dyRU4btu2khToGsleKMSxrlZUsWllyE9O0gCfnSNhGZ/kbzSNZM7K+ZqcsmtpuT3sj/Y2DYkkx6ari2O4qMQkYlHOT03w/G4Xjc90iqFXhaIihWq+miaLey8sAmOjgNCVR6rG71viNDwbDf7tcnHueX30sBVU/mA6rdT7lBhGo84Qs+YmjpGu8bjrr6MgDITlUePfhmGr6ZmmXZy4WCQBEDr7UTcEJCQ8Hl4/GORzAMnvoxGOX7XG8Wo0gIDKnWttJVk9fASIxSS6u/jcWRL34TAwP8Gwx5FR9oHHYz/bra28t84Oht5m8zxvPE5vTkcHCcKx48Cdd3L8envYrt5eztmGSQ9xvWbngPZ0sa1trSQzxSIJrsvNZ3NggJs7uazKt8zz3JUqn7VwWG1gVPj95BQJQzDIZ0dKzn0rb7Rhcrz71nPuBAJsY63OeWOFBVZr9BanMxxfTeP8z+ucC+GQhlC4QUGWceDyy1mg2poT1RrvKZ/nerP/AMfHKnehaZwHMzPKs11lP83O2cJIa9bw+1Saa0u9AYQC3LwJBvlsCPXsV6skkZUyidDwMIU97rybx3k9Ss20SGJeKPD5aGriJk8yyXZbXu3WNj5jW7bw2ru8FLU7dYrrRGsL+/LmX7F927ey//I5jktLiwpnVZ7ybJYbEvUGn8em6LnfOY6bwsFjgtlZCoNYNbcWFyXe9T6J599EZaLRMeBp1wOvebX7cW6pAwuWgIjfT0PDVNnx//D3AldcDrz/AyX83ccdT5qDpwZiUT4PltpfJMKX+batticpovKPfD56dFwGX8zSpLGsG1zrPB4lDjBOo6ulhQbZqWHmeGUyvE4mQ2NveITiG8USDR2fn8TO8jysXUsjI5mkMVAqKQERFSJpKf9Va5TrrtX4+0bDJgTFIu9zZJTXtnKLKBXN79vaeJ2JSRUeFOJvFhbpbQuFeC6/SoyvKvGHfIHryKHDQCot4fNBqbkJtLWyz6anSVpmZ0kiMlle9/Y7+Xm9zn4Ph2xRByEYrrR+HY3Upib+zuejYRxQ4YHlEo1MXSmn1WokjNMzNK5nZlWoJkgw2lppQM7N06ME8DeNOo1mS6QDYFtyeeb8WKIsiws02KamKSRw8qSqR1dl//i89MQtLrJPo1F6Cwy1ZV4sAnfcxfPqOr1gwSC/m5kBdt9fx+AJei0XE9zh9/t5b4YKmatWSVIXF2lsbtxIw9VUAgy6zj65735unrrd7L98XoW3elmjzuMhmfD7eQ6Xi96IiQkakMWiqmHmVSFbwq7vJaVEZydJ47FBpZI4wfuq19l3pqnImfLu6LpN3isVjsPEJI31HTuAuTluihgG76e/H7j0Eo6PofEc7W00klMZeqk6OkhG/H62ZU0Pa2FZCocve4kqTAyVA6fTmLfmWzDE/snn7Xy9uXmGtmZznLOxKOdrOqPemUE+f9UaScDcHL0yhm7Ly7e2cJNA1ykulErxXMUi+2d6hs/U2LhSLZ3lBk+pyPvzeYB2Reo2bWTYtc+rQqj9amNG8P/FEn87N8/fWoXB63X278ICr+FWJli5wv5IZew8zMQiBTWOHuP9NUwJXaewkOUh7VvH82zfpsSNEiqMuKE2Jqb4jFpz3e9j37mUR3t2ju2dnlHr2ZgqBaLy6ZJJKukWCmxrOMy1xOXGUri3FS5uFfq2zl8q83muVFlkvlpVZClD8hQM2rmNsyos0R/gutVosE3z88qz57aJ7/bt3ORZs4Zr4fCIqsmWpTd3/362a2JSlYRI8x6zyyIeVoND0Bw8qmg0JPbtl+jvF3jfezQIIZDNSrznTySuvZrhOVOT3JH6f38iHNXGixAve4lAa6vA578o8Y//REL2iY9reMHzDfzs58CXv2quKHbtwMGTES0t2pLXxTT5op2boxy0ZRhnczSMxsaAtCIKPi/J0fgEKJoQpFFdKdOg1HTW8GqYPHfAT8PGqge2qPKt6g0ady6XCptUYUydHTSWJydVaKQyfLM5VTg5R69XOqPyI2o0msIh5upYNaIsuXe3QeNDCCWKUVT1rAJ2Lorfxz8b+wV0nUZSTw+JmDTZ3nIJ6O8jgQ2FaLBEo0DfOh1mwyIQEokEDdON/WyLVdDWUkUzdDtvqlxWtZ1qNJqbmkh+pmeUAEeRpLhdhTYVC7YC5oY+GmqGwX9n0zSYO9rZ9kKBOUVWGKbVl/4gPWv5PEPRLI9pucx268rzY3lxxid4TEe7IsmKFEZjnAvVql2Tq94AahXgwEGriDAN2ZYWEgRDeTIyGRqoXg8NQbdb5RcWOT6VMvu+pZVzq6a8X5s2cRwHTzBCxTDohdN1nvPIEYm77yXh0g0eFw7xPqo1CimMjfN7w1D5lDn2VSBA411TeWGhINvvMpSHWeXi7N9PohJS835klBsZsRjnrhB2aQhDeXotb221yn7Rdf5+bs6uOZfP8z6HhmiwWzloiQTPFQ6zvytVPh8HD7EPrJpkG/o0+Pz8/mc/V8SlwH6YmWW/d3UBbq+aB362bXaOnsiJCYrxxJtsr1Uur7ypOZ5nfsEOmfX5VN7nhCrVINmXw8P0qDUaPPfkFNVPXS5bIr5a4TMdDDJPS2jsy/v3cn1wu1Q+ZJrnsUpB+HxcT2pV9qclRhSJ8v/pDJ+z7ds4lypVEjlLMTOV5jPU1spnrF7ns1EsKjGOPNUNQ0G27777SWx2bGf+banEOWw2eD8jI9yEEpLe9Et2MvQvnaEISmcn53MyaSu9Co0EO1fgXDR03m86w/7MZW3RGdPkmIfDHK8tW9jmnl6Oe7HINSPeZIv9WKVG1qzhppKmMwTaUnFNp5US6CjnyJHDNhE/coz3fvIk14abf8U52NlJD3OtxmdVN+gBbm3h/yMRzsHVSmwsh0PQHDyqmJoCvvZfcql6fakk8ad/LrF2LfCC5wPXXStw4zOAv/9bAY/HIWcXM377twRGx4A/eqfE7JzERz8cwJe+CHz168AfvEmiWHS8aQ4uPgwMDDxvYGBgcGBgYGhgYODPVvleDAwM/Iv6/uDAwMClq52n0ZCYnubL3KUM5JYW5ilkMjQeBWgo+VSIWDhMYQVNpwfM66FxAgnkixR0MCUN3UqZxlJTk1JyDNKwCwa4U26aTGi3ilHv2M7jp6ZpgHm8NJqam+kd8vtU0eqAne9Sq3FHuN6gYXLvbrazUKCxAihxhhQ9WsGAKvrqoQHnU/lAwSCgu4CRUYmREYmhUwzZkSYJQFnls5XKqiYYVGHfGSCTMxEK2yQ0k6VBaXm4Gg0adLpOQyfWxP6zVAZnlKFYyJNM1Bvc7Z9f4G/jzTTay4oERaM0tAN+ejUnJhjWGI7wnFYOUzSijDKTHrByiUbc3Cz7Lhzi+BYL7C+/n31j6PyuoD5vauL9FgqgkECMfd7SzFC7YICG75pelRe0LNcH4HcnTtIIzebocfO4Oe/qDaBUZYijXxH5tWuBjQOcDydO2iGmqZQKL83bSnzpDEVXslka4zNzPK/fz/k3Ps5+K1cUIVSCBqkU59T4BO/Dkj/fNMA2tbfZUv1CcH7U6xyHTIbnq9etkEp+Viry8yuv4HNSyLOf63UasJUq54/XZylWAnfdZW8+lJRX1BJhEQKIxe0C2SmVl1at8PtikX2ZTluKi1QeldKWybdKUtTrNMbHxjjepqS3TFcbJFs22Qa2z7dMZVWJ5vgDnFOWR71aVWUvvHw+pqbZjnKJfRAM8NkMBOy+tbyW1So9RK2t/MznU3XGetnOmRken86oHEdDKanmOf6zcyTumhIIyuWApAp1jcf5vZQkJYbOZ1Ga9LR6PNxgiUY5tvUGx0jTLBKrLZWksDy5p4YZJZBMsp26oTaqfKpYd8P2Ls/N8Zi5OT5n2YzyLOVUOKbBNtaqJCtuN4mO0PhMuN18xqzNMSsk2TR5/lPDHPPbbuOa7fPx/3Pz9phoulp36moNqfN++vqU6E2df2/YoIR4BNfyEyeBjja211KubJhcsyzl1CYl0mKtI/fsVuubyf5x6qA5eNwwPCLR2yvwT/8gYBgC1arEX36ABRELBeDT/8pJ+va3aWhudsjZxY54XOCTnxDYsR1445sl7rm3hvXrNLznndz1e9lvA6NjDklzcPFgYGBAB/AZADcB2ALgdwcGBracdthNAPrVnzcD+Oxq50omWaDUUulbu9YWY/B4aAC4XEpi3cuX/+gYd32tOkAtLQz7y+ZobBULNIia4yR1MzPcZZ6askOOLKOqVgHmVQ6apgEPPGCrHoYjJBUulyrUXFGSz4JeAbdbeUl0XlPX7B33jRspw20oQ8rl4e+EoJHn86ncpwZ33tvaaKw3qzAfq07RiSGlIlii56a3R0lpq5DBDX1Uf9u/vw5NMAzP8qw1TBo5uTz/bxi8n5lZGu5ZFYJkGYkuN/trZJRGkDSVoRukl6e5GbjmKhLdlhYaREOnKC4A8N7Sad5bucz76egk0Uim7HYFVe6SptGoswoie9wcE4+HBqHlVdINNVY1Ep5yhfXvrByxQsH2bs3M0oD0eNjeZuWFbWkhuT55ivecTrNfLZJdqQDDww1ks+zXuVkKxiQWVW09oXL5FPEoFEn2e3vsMC9LavzIYYZgDZ0iwfB62daFBRqy2SxwdFCJqahQxFSKhngiSRICqcL9MmxbKKTUPLPKkxHg55msqotm8rtCkSGYU1M00IMhjr/LZYcjul0k1EePsU3NLfxtQOW/WR47vw9LoZU1JRShq80JgOfu6uS143ESvplZExPKq/2C59PjWSrxuoZOj25rKw1xKzeuXKb3JZliX4yOcX7n85yHjQY3NnZu57UbDfaXJVZRrpAoFosk97U6x8YqUm3NnVSSz1wqxX4aH7el77MZzvPuLnp8Nm7kWK5dYxddh0YPoNdjC6osLKj+h6rlJxh+a5qsBRaO2EIsjQaP0VSu2alT7LfWVvbR9Cy9n8WyCdPk/Gtp5gZGNKo2BaK2p3a5kIoVthsK2eqGFlEpVfg8bd6oCoEnqHrbkBRZCgbZN9Wqktgf4z25XBx7v9cO2y4U+AxOTiry61d5fCpnz+W2PVzS5Phogl72UBAYPsXfRptUuQmDmyrJNO1Ww+B9DJ1SpVC67E2k2Vk7Py6q+lWC3r6mmD2P0plzv78cgubgUcFiQuIDH5QolSSEEGg0JD78UclcCPDB2LaNtUocPHFgGAJ//DYN73m3wJ/8vyK+8jWJ598k8J1v0HD6/dcD993vkDQHFw2uBDA0ODg4PDg4WAXwLQAvPu2YFwP46uDgoBwcHLwXQHRgYKDj9BMVChK6wV1xw6DhMj1N48WUNPYtUYGWVu6yR8I0spqUcVOu2OFE4TA9KJEIiYHfxzWxRRmXmq48RxWSEU3lIpkmr63pvNbGfv6dStt5UW4Xc6IqFbtAtFUU1uOmAdLTrQomSxodVlHg9WtpIEciSp5+lIZHU4zel2KBxuyRYzQwC0VbOKFWo2ft5BDVF/v7uPO8aZMd6hcIaKjV6b257XZew+2hAbhxA0ONxsZpvNSUIXbFFSRbPp9SkAzRqPV42O75edtT53Lx/odH6aE8eZIy7R4P29jUxD9W0WmrdtLgcSbwNzezvyy1x1aVI7c8dK1QYltSKTssLxZTCo01OzTLKmewbSuPsxT43G7OnWzOzntLJm1yVKlwDHp6AAiS1HKF/dveCoQjGhoNqkpaqpFTM3a+XWKRhCgY4HVHRylqUlciEFbh52xOqdcpEYxslnPD7WYfzs7xXJbBazbY1pkZGrKLSeXtUm1LZ1SIncvu41RK5SsGbTEKj5d2QCzCumRzc7YxKyVFPBYXeQ5dPQOaRmM9naHojtlg32QyFGWp10kYTwyRmAYCJEYuFwlXSZGUYpHy/vEYDe6FReC2Ozhng0GSXqHZnh8rfNTynoyM8jf5nFIuFeybbIbEBGDx5lzeJm71OtDVbRdobmlm3+RyJH9Wfb9CkX8PnrSPDfjVPKoxZE83OEd338d7yed4zbFx/iafo+qhpYYab6In0PJOWjUOXS7el2kyjLNY5PVKanPH7WL7Tg3zGXjgARKM5haqIgphj/WataqGXY2eNJfbLskRCHDsNI3PaaXKZ9xSpawpj1VzC8ffIk3tbYwYaJjsg2qFJCoSBro7SYJMaZe6aIpxvOJx3pPfR9JqzcNaTakyquMqFRWCrNkbIHFFcPNqo0AKehIrVfbh+DjnvaazTWMTnC8nh9ieVJrn7uxke2fm2Kc3PgPYuoXRFC0tnOOWd/dccAiag0cciYREc1zgy/8h4PMJSCnxiU9KTE4yGbdcBt77buAtb9Lw3Oc4nrMnIp75DIGvfjmIffslslkgFtPwl3/OnMJPfRqYnXVImoOLAl0AJpb9f1J99mCPgRBiKV9BwlZunJ6hkZDN2EWLKxW7cKph0DgtqJ3soSEaIvk88z0sT9nMDI3rcJg78ABf5EKjwRII0GgKBWkchEMABDe55udpgDTFbQLZ1UUDyVJTS6V4/S1b7N38xCKvb9U1c3vsfDbL2Az4adhZoVblCgkPJOsyWR4hl0Gy2NZCI3F8jIbyocMMpRwZJSGwctb8Xho3Xi+Jy+go29lo0HBuaqLBNDlFYZOEyj0ql+1ac5UKDWir6HalosjKFL06hbzy1IXZxmPHaERZhZQzGbtulSl5jrZWjovlKcpmed7eXqCrg0ZVPsfzBALsByvEsVIBNm3mbr/XwxxDl5vGnWX0eZR3KxKmoT43b5cNsOca29fWyvHUNF5H10lASiUJswEU8/T4WN5cawNAShrkZoOGalh5AitlEpWc8kYGQzTIg0ElsqE8bBDAJZcwJI+5RjaBdLtVmGbKVmgUGol7scjwOa+XHpR6g/cQCitCm6YhG/DzT7nCvo6rsNBwmJ4Vtwpfs+Z/MKDar7zC3V3s+2iEhn2jznuLx0lqPR7eo1UmxhLJCQTsulSTUxKmIoX5HA1vq/ZaNstNECvXMxK2pf7rDZLkpjjvpVrjvZom73XbVpZbqNVIEGtqTqeSJHbBIIn1YoLEUaqwuI4OVai+m31lNvi318u53hRj6QMJEudW9ewEAvRqx2IMB43F7LaaoGx+ucK5aRFvTeM8Dgf5DFi5a5agRqPB8EK/IjxuN8clX+S8Mgw+G7Gohl2XsJ/qNeUJlEr1VHnLpMnfez12uY+JCSVQ0uD8lSqENJHgvJiYYnuLRZ5H19kv7R3crEqmVOmSOu/f7yfZXEwq75aL5xwd431aqpKxGOfniUH1nGmc4x4P15TRUd7XYgLo30ASn0jauW2xmAqrVBtyXR38bbGIpbpo0YhdtNrjZlj17t1cc378E4ZbNhq8dm/32V5bhEPQHDyiKBYl3vw2iWRSwjBIvj73BYm9e4F3vQN49rMEIhHgP7/8+LbTwcPH+nU6PvVPGiIR4Av/YWLdWoFPf5IL46tfC3zkoyYaDfl4N9PBUxur7QCdPikv5Bi4XAID/S5UqwKaEGhtMTC/4EYwaGDLFheCIQ2dHTqaYgaiEQNDwwaGh3UIaEgmNEAaqFR05HIafD4dLpeGek1DOKyjf4MbhuHG2LiO0VENR47qMBsCbpeBZEoglxcoFDRkMgJenwETOnI5gVJRh9erIxjUEQrqSCzqkFKD3+9CqaJBaBrKZQGXoQPQYDZ0TE0Z8Pp0JJMCzS0uAC4E/ToiER3BgIFqVYPXw/bFYwYqFQ3lsg6fX0fAbyAU1OHzawgGdBiGjq1bfIiEDSws6CiXdBSKOvwBHbGYC5mcDq9HhzQNNMV0LC4KpFIShmFgy1YXvF4D0aiBSkVAmhrGxjXougu5vAFN6KhUNGSzOmZmNdTqOtauM+D3a6hWBHRdoFQSqFQENg0Y8HkMeDwa8jmBjf0GAn4DQhioVDXUqhpqNQ3Vmo5IWEdbq45GXcDv19DdrQNSh8+rA9AxO6fB79NRLgvUGxqqFR1ut4axMYGpGQNer4Cua0gkBOp1HR6PAQgNfr+OHdtdSCUNlIoCHq+OalVDNiMwM6uhUGCb8nkd/etdEMKFZFJDc9zAs5/pQWengZYWHW1tOpqbDdy/x8DRYzpCAQNuj45AkHNFmgLJlITXp6Oj00A6reHkSQ2NuoZwSEe1aiAQcEHXNZTKAskk76upSUexpCEY1NDVpaPR0GA2NEBqmJkRCIfZNx1tOiIhHW2tHsSbdBi6hu4uHZWKgfZ2FzRhwOvl/CgU2SZIAcPQ0Nqiw+PVIKDB69XR3eVGOGzApesolzVEwwZqNRdSKQ2axt+5PRrKFQ0d7QaCQQNej4F6XUdHuwuVsgYNGuoNHfmchq5OF1qaXQgG3GjUNSQWNZh1DcGAgUJRR72uIbGoI96kY+0aHWt6XXC5OTYSBkJBA1u3GOjpNlCpAOmMjo0b3ejqNBCNGSgUNdQbGmJRHW2tBnp6XAB0SGlg04AL2ayGnk4DqbQGQ9cRjenQhI6FeQ2m1KG7dHR0eLBliwstLToyWQ2lsgulkgZN6JBSh8swUKsKNMd1SGjQdR2lso6N/S6sX+tGIqHB49bh9xuolDVUqzqEEJiYEIhFddRrGiIhHX4f27dmjQeGbmD7Vg88bh0uQ4fHo8HtEujqNODz6dA1DbrO9SAc0lGvaggGNBSKAgE/1w4hdAT8OkxTg99vwOPWEQjoqNU0LCxyTYvHDJTKOnI5A81NOiXkx3VIU4ffp0PTNTTHdcQiOjZtNOBxa6jWBKpVDamMhtYWA7GYhnpd4PprXahWdJRLBgyDc8/n45q4fp0H6bQGoQk06hoMw4CmGcikNJw8KVCva1i/1kBrqwG/X4ffr6MpyjXMcGkI+nXougaPRyCR1OD16fB4dAihIRzWEAjoCIddqNW4tpkNAy1NOmJRHYZLIBDQMDrG63a0G6jXBdJZAy6XC6WSC4GAC7GoGxIu3HEH18JtW1xoaTYwM2ugXNYQDPKaPd066g0dumZA1wVMqcHj0bB1iwGhuc758jIu6BXnwMEFoFSS8PsFvvYlwO+nzfONb0n87Od07f7XN4GebompKeAz/+J4zp5MaGkh8TZNgTe9QeLYIPCtbwOzcxKf+DgcARgHjxcmAfQs+383gOmHcAxamgWOHq/i0kuBQweBuYU6yhUlKR3iMbNz9GZYCoKhML0U1SqQTJlIp+nZmpzkrnckzF3pqekGmuMMf3G5uOPrcgH1Rh3hIHdkNSERCgHJZB3FPM8jRMMuYC25k0tBAROHj9oFdT1uHmclyEej3FVfv66Gg4dUflPd3rE2XNw1nl8wkVd5YR431eYCflWgt8I2nDpV4o41uGO9bh09V9VqAx43r+9VamltbUBbq45yuY6TJ21REI8H8HglgiGgUTeRTHI3ek2Yu9T1hsoFUl4eQwc8PuDKy4A9+4BEso7eHkrXCwEUCizk7FGqid1dzJ8rl5gTVijS2xAKyqX7nZ2nl6KhvIFUg5PIFexwrvn5Omo1QGgS0Qjgdjfo3YJVy62xVMMsEGggr/JtWlsk/H4TqTRzfSq1BpJJ9vnYhInJ6fpSsWxdY/ijJfU/NUNPRrEIdKxToh4+DflCY6lw+tg477NUoqfS8ogxN6exVOfLqukF2J6ZlmZ6BtKZBuZVnp3PA4yONjA5zbymQpHy5Fa+Ty5v56g1xZQsvVciX6BIy9goQ1sXFhqYmAQ29DPs98ABEzt2cP5VKsD6PmB8TDJXb9ZEjwo5ZPhlA4EAfzczbcntm7jicnrtCiXOq2QKKJZMeL28r2KRfdYSB1pbGzh4mG1eWOR1i0XmsMWaDJiNOgZPNDAzo9QLNZVHNsucvcwsw3lTGSpclivA6LiJeoNz/Npr6dVyqZzE6SmgONDAiZPso0oZ0DUTbjc9sPPKW90UB5KpBkVnlBjNgQMNqg42gGyK4xeL0Rvbv4HHtbY2lgrNF5TXZnyM6042X6fEfFGFdJaAiYn6Ur6WBMcllaYXqKbWDdNsYO1aKokGg/xdImGipdlWxJyeZq5Zfz/nWSbL9uXzAi63REc7vVe1KjBfZAjj6CifpWiUtmGtBkzPmAxxdQOnhmuo1tjWSoVesHCYf359e4VKshoQCknU6+aSUiu9lRJjEyZqVbuemlXio9Gg16tvvaoD6JEMz1Ve5ZYWtr9QaEDX6OkyDGDzBnqn6yZQb0h4vACEiYVFrhtHjtRh6BzHfJ7rQ3qC18wXgHqDz3soxPXDUj31eoErLmP/UOVToloFJidNRCLnfnk5HjQHjwjqdYk3vFlifFwukbMf/0Ti6/9FxcZymWE7t9zKOlrBoGOwP1kghMBLXiQQiwp8+WsS//sD4KUvYvLywUPAX37A8aI5eNxwP4D+gYGBdQMDA24ArwTww9OO+SGA31dqjlcDyAwODs6cfqJM1kQyARw5wvwqn5eGQThEoYV8joZaoWDXc/J6VVhZUdVOCzO8qr+foXVjEyRR4+OsJZRWYYj5PN16pkmCV6urvBiVXO/1Mdwnl2OIYiLJ61h1yeYXmMMRCCjFMw8NEZ+PpMXr5XWPD/I6daW+VywwDHF+jsQzEiUJ03VgZIz1o0xJwyOZ4j2cOKlqrFVoCLercKtMlkQ0m+W/y2WGH01NSSSV4dfXxxC+piZFvDQe3xyncahrTMLfu4+/nV+kYWyRrUIRgORnhYKt6jc1TUOuu4vXcHvYllPDDH2bX7D7d06FqXW0s4iyJaGfK9hiLvUaiZDXyz4MhXiPVn4RwHC3+QW2uVJmH0nJ35UrWCK6Vj2oao2GqqHxXKEQAFMVZRZ2/blQQNW7q7LNug70b9AhlBDE+rW8185OJc4Qs1U5rVDJvj7+v9Fg/ox1vaYYNwiuuNzOJ3IbJFn1BsPhalUKWfgDbHM4bBeiDgaAjBJdqFTYF/NzFK9IJplbtrGfOUPT05y33Z12HtD0NOD1M3zNqr8Fwe8yac6RWITjncspcZU5pb4nbMlyK6zXMBjCu3Uz58bwiCrY7QeCfpL9UpHnz+ckAgGSktYWlWOmKTXKOq9frZLYScm+8KoSBZ3tvPaBAxyXYIBKjpqg0qXXy/6Ixzkm4TDn38I88yD9Xs6pLVs4puEQ0N3Dfos3cS4Gg+zvWEQRqhpz8zwehjBeusvOJ7MKxFvCJKUyiUgoxOe4WGSOZbnM56uq5mwgyL/n5timQl6FQSrVVqGxbxsNHmeNcblsCaoIBPy8N02Nm+Hi2uDzccykypEMBnkuv0+RvhmGkw6PsP2AHSYKtSZJydDARIKhg8EgyZBV5w3Cfi4tkSFpctzGJpiHWquptc/LddQSq4mE+dxEI9xIswqEC5DAX3EZn9V6g9e1NqG8Hm5iBZQ4EyRzbAFujq3p4XVqVVtQ6YGDrGe5qMJnpeTz1Npy7peXQ9AcPGw0Ggxn/Jd/FujtJfG67XaJf/03iVf9Lh/ql74Y+No3gH/8OGtqOXhy4nWvEejfALz+jSyc+cH3k6R97b9MpNJOXpqDxxaDg4N1AG8H8HMAxwB8Z3Bw8MjAwMBbBwYG3qoO+ymAYQBDAL4A4G2rnaveALZsVTv00zSk4k22l2xgEw0rjzJucjnmscwt0Ag2lbEeCdFQK5WZA9LVxd+XyzR+sjm7yKlbGTulEg2IRELlDgWBvXt5TDxOA7dUYttKJRp/U1M8tlxWhkiUa7EAiUE8TmMxHOJ9uN12bkd7B3NiLHn0dWtpTJiSBko4omqlgW2fnLKNxcET9KJt32rXT2tvBzZvpoGTL0hAcCd6dJRES0rmTnk8JHjZHO9lYZGGnqYBEDQiIxG2yx9gcr6u08syMqb6L8s2rV9PgppJk8RqigjFovY99PbQCG2oXJa5ORLt5ma74G9XFwCNxlWrMgZdOg3xiQnVp4L32dbK30s1X6o1pcIobAXEVMrOr8kXeF9NanyCIVtEYH5eCVQU+ftohNeOx4GDRxro7uS/d++h4uX0jFLO00ho4nG7DlWlbOdDdrTzfNksj4tGqJIYj7PvDRf7o1i0jWBd2CIZlSqNT5eL/RJvsmuStbXZcvDlCglZMkUv09g450wiyRyghQU1v6rsr55e9jEk77PeYL7R+CTvrVxW+YVqU8Ol+rNWt9UrCwWSvpYWktItm9nuLZuUh0UJuDQ1AT6fwOwc52wkwv6xyjtEIiSpFgkSyggPBfn7XJ5jFApyLOcWaPBXVK5nNAKs7bULRecLnAtS8rmv1EiCOjtUke4G+2x+QRXXVv/P5eyafMkkCfXMDP8eHVtJLnI5JbOvsW927FB1AV0kRV1ddnFoq1h2U5OtWBqLqZp+Kn+yXue5SiWOe3MzxyyX5720tADVqkQ+z/XOkuLfsJ7j3NbGZ8wiX00xetY2qzGJx5UybNgWQ9F1Ejar0Leu2wqV2QxJYKVMEtbVyfup1djHPj+9Zppm57xJk2tMS7MaX5O/6exUnksl1JJOkbTWarxetcaaZvkC+6lUUiUV/NwAsXKRrdIX8SZg61aOfb7A+3W5ldBNjP92u7lmWWtuU4w5uueCE+Lo4GFBSol3v0/izW8Etm0l8bp/j8RH/k7iPe8EbnqehssuNfGu9wJ/+zcCfesdcvZkhscj8Md/JPD0p0n8/cclRse4g/r1/wK+/g3gS18w0dnp7As5eOwwODj4U5CELf/s35f9WwL4o/OdJ5uVaJgUIZidI0nr36BC6vIkWzMLSnGsSmPb5yMZa26mQXByiIZJLkejafNmRajqNF5qNZKNqSkaFJb3DKCx5I5bNZz4kq/V7BA3oZHQtbdRMezoMRogfj8NtVDI3s22iFBPN0U8KhVV200HBvp5jJRUMEtn2D4rGT6VIpk6ckwl6knbeM9MkJwdPEgjyOPheapVeue2bAZmZgRcBvsgpwz7tb0kKZA0/KwCyNEIDW2/3y5Q3WiQPBWLrEOUzrA0QVyptW3oozfr4CH2rVTti0YAaNy1D4d5n8Mjyou0TAQjHCaJc7lo2Gkav7NUE+sN21taLpHIFosU2yhVgPZOkp9aFTA8JCHd3fQ0VqvsH0MHFjX+Xa+zL1tb1PVDvL+ODpKb1mb288IixyUaBa6+0oV772tgbJweFgEahrkcPaR96xiy1tTEPt+zV8mcu3j+qWnOzTkVkut2A61t9AhFIiSrUtLItkJupeT56yoktZTFUsHxaNT25sbjHFNLsj+X5zzrbGd9vbY2hvhZRagLRfbJ4AlV50pwI8LrozdCgs9CuWzXyDMlxyUQ4H37YhzjbIbX27uPxrolWz83x/Nkc+zTugkE/BLhsE06XIZtxCcSbIslr54vcI61tpE4W2SiTc0/TVAxtFYlyRkeITHXdHqDDV2pGQq2pV7jHDp2jOfJ5TjHurr4LBx4gOMSCiu1wxbOoXLJrqvmcXPezc6SKGZzXIcaDRKj++7nvGiKs7/Wr7PDG91uJbCh7sNw0ZNcr/FYAbalWqHHv1hS60BN1QMU7De3R8BlsHTS/DwjA6ameP6JSRL7lhZb/fTQYdap27BBkUcVxtgwSVymZ3hfpYqqS6i8YV4fn91UmnPa7eYaXK1yXtbrfG4bDXt9u3QX+yAUIlEKhTgHWlu5sWKR5aj6XS7DuW3NKatGnrVhFgnZBeiHhu21NB4Hjp/gJlZZreWWUFQ+z+fMKnnQ3kYSncqwn1bNfl4Gx1Jy8LAghMC73iGwWbl4jxyV+KsPSKxfB9x6Gwncxn7Wz7r8MoecPVWwY7vAl74osH07w6je8XYuUK95PTA84njSHDzx0NIsVF4HX7jhMF/QG/po4MzM8qVdrtDo33WJ8py4aIRGIkpqPUMjulRiyNLEJF/yXZ00OKiKyhd9LgdA2iGS5RKNhUpZhWM1gFNDNAAtxbdUmga/30ePU63ONllGSnubCqMs0JBsb7PVEDcNcGf+4CGGLa1ZowiCqeo5tfM6yRQNqXVr2S6rdll3lypyK+26R8USldNm50gkU2kTLhfbsqGPhme+yDAgU10nFqXBbJrAnXcBh44oFUrllakqj8FiQhXkdtkKdcMjvLe2NnpBIlHufEvQmLVqUU1Nq9BBZQw2N5NIWIZcOk2j84TKlevtpifQ47al2wOK9Ho8HM98jp9nM8pY1Pnn8GFe0+dTIWZVquS5PQxt61vP+eTxcExDYd5XPg9AKNVJk+ccGQZCQbHkUQoEOM9Cyvu2aSM3AgTYzgMPcIz7+vhZucz5bHlP0mn2QWszjXhNKE+pmqOVMueuVadNmuxbv1LFy+d5P+Uyz5lOs48WEzzPNVeTPNcVsRbgWFmFs03TVu/UVL4iVAharsB5FAiQmG3dSu9uvc4xbVZe4I4OVT4ixI2SNWvYB+MTqoxFO3DpJVRf9ClSUshL9PbQ69nfx/MEg5zLPq+tMtjaQrLSt4HH+rwkGC3Ntuc0GKRy44Y+4OUv4715vZwzlkelVqNhbtXx83hIdoJBkqiubv577Vq7ZEMiCVyyU4XM1ZjHVFBe8t5ergFSjVW8ib/zuDkPrdxCt0uF7OYZ5ukylIe0ZHv7AV5DExyfbI5k0+PheHjcHI+2Nv6u0bDCfQW2bLHyIu154HYD113Dfi4VsZQfeO3VJHYHDthlGwCOt9enapCF2Q+LCa5l1Rrvt6WZ8yOZ5GeRKO99y2aSP6+H86lU5ucjo2rNUKHQG5R3bXqaYxKNqjkTttd40+RGUiSkctZq9K61t6vacQCKFXreBzbxmtUK18F6Dbj2OlXfrsY5GovakQCFAkOsdcG+jMc5FueCQ9AcPGR87B9M3He/xPp1VNQaHpH4k/8n0d3NhestbwTe9scSjQaweZNDzp5q8HgE3vJGDZ/9tMANNwhccgkX7re8DZialo938xw4eFB43nPduGQnd6fLFRWeEyHB6GinvPaNz+BLO5MlAZiZsT04oSCNH8OwvWKWoVqv05ipVJRsOXi8plGwoF5Xha2LNNx0FwmK27Ws+DJoCGQytlegVKahZdWimptXhZY99P51dgrs3MFrrVur8qQEDcbubuZxJFM0KJuaeE2rXV1dNPzXrmXOT1enIqBZGqq9vTSq1vSyHZYRHYtqWLeOBnHAT8Muk+b5ent5r1PTlNrWFUnzuulF6++nVy+XY7iQy6ARV6upPJcAjc/Nm0gkpMm+aNQZJhUKUjzCIsBerzJCvbaARr1OL4am8uHKZbsmmNdrG1fhCPuqWuWfgI/zYHaOv3G57ZwZCd5HrU6DsVazBVyWe248XhKCrZsZsmk27Ppu2Rzb19IC3Hl3HZEw22XVzioqQrywyHkVb7K9tYMnbRJv5R1ZuXRtrRyzXJ7Hen38Ph7n+LW0cG51tHNcA36O8zVXc3zCIeWZC3MOudy2F8bQWQQ5GOAErVSAe++zc6RaVZ5USzPvvSlG41s3OD9b4vz/5CQQa2K+XVurCgmsY0mQZXycfVUoktRAApddRsLp9bL/C0Ue3xRjeYDmFo0lLlRIbDgM7NjOeeoPMES2vY33UikzF/DwYfbT4AkSrY523u/8PImLpnMsXYadZ1ooKA9bSRWBrnMuNzWRYM3P87krFOi5Gx23665pmpKTr3FzoTnO+UdBGrvURrHI/rh0F58jTed18nl6/MNKuIKeQ1u2PpOxc/+qFQAar1kssR8nppjzZ9Wxa45zXONx63lhbVvLa+Xx0Bva08129/RwfDIZ3k8iofJqg6z5GAxy7N0urgeXXGLn4ObyvFdpcg2ZnATyWVXYvmHnEgK8p0iU80zTeM0d23h9zQCuuJRj7FHrbXsb518shiWRH5eLhKpUsaMO6nXasrOzbEcyCUxNcpNueppjVq5wnajXGcqbL7Cv3W5bSCkUJLldvnnldpF4ngsOQXPwkPHCFwhs2cx/T89IvOdPJK69lg/Ax/8OWL9e4A/fIuB2O+TsqYz+foFwSODqK5mE/8LnA298i8Q99zqeNAdPHFRr9EgN9JOE5XJ8GadS9BANnmBoX1MTDYamGI2O1laGHEYiJDORCACTXgFLcCGTIZGLxoC2dhpIEjzG51HKYCpvTIIG39peGjnxuB2uIyWNjq5OGj6Vii0Gkcsrr5wKgzJNoG+dxMgow27KFV6vpQVLCm5W4n8sSsPJ2rlubqZxEW+i8RFrEmhvo7EbiymBkTAN0HXraPBkMvQY9XZrqKn8Gq+X9Y9cKpyst0egUedvL9lhG/D9/cxpm57mLrnLxTG57DIVSukmuSsUaIiNjzOfx8oB2bKZRFbXSFKLRRp9Lc28h+4uEjivF4AATo3Y+WemqUKcwvZu/NwcCcFrX8NwwkCQ3rqc8jx4vUBPF0lcdzePiYTYV51dalx9tlDGqWEa4ekUjdPpGQDSrnHVaNiGfTTGPzNKlKSzg57PtWtZ6DuqxqfWYL94fXaB5XrDzt3JZnne7i5g5w4a1TOzKoxO5Xe53Gx/vU4D+dJdnN/hEGtEPedGGv3hII3jqWmS6b4+4PJLVQFrFSZr6KpelCTZ6e4k4bNqQnV38rym8hTOzgG+APCSF5E0BQMqj83D5y6R4HxfWGQ/tXfYwg+zc0qgJsfjTwyyXmA+T2M7k+Xnz34WjfjJSRrf4bAqeJ1hn42P2cIbJ4fowdN0O/fM7eHzsmaNUvVLA7+6he0bH2d/9/Zw/np9dshvLq+UKIs8X015icJh9qWukUQJqI0BH9cRgH+vW8vzJhKq4HGV/WxtxASDHF+fD9i1g3M9EFBh0l7eTzzO93FY9Rk0krR6jb+LRkkiggEVeqpxjejfyPUsneI6Bth10RoN9q/HA9yzm+Pt9qii2Hk7vyweZ9Hx1lauK0Jnn0vJuZcvcA3t6AB+84X8rqWFz/i2rSqcsMy5ZJr0WAvB9oVDHEN/gMf2dPOZn5pSmw4qxzObVXmzKlTR5+N5LdXSzZu4/pVKyhvaw00Jr0cJFs2xz/s3cAw1TdUQBIVvymXbu22p4sZiigg2sU3hZd671eAQNAcPGl/+qsSdd0ts3UI1xoUFiXe8W+Jp1wN/9ecaXv9a4J3v4aKzY7tDzhwQNz1Pw1/+mbZkOP7JnwHf/6FD0hw8MTA3Z6Jh0siwBCQ6O4DODoHmZr7cdYMGbTxOA2frVhqNQ6dIFjxuFfrm4st7dpbEBYK7/ZB88WuCRkIqxR1XS50sXyCZKhX5WbFACXKvRyXWh0gQ6nWG5QRDajc+RCOurZUGwmKCoYxj42xHVxc9WRvW08hIpdjGvj7mmxkuGlvbt9FwSqdoNC4maGhASpTLJDtW+KJQXoPBQd5PNMrQqwcOUSq8ox3o6REIhZk7MzYG7N4tMTnNNk1Msu8yGRr+yTTbYCnDaYJGcEcHcPllNAC7u3kNgOPxWy8Dnv40GlLJBH9bKtHA8rhtFcbpWfZfKMS2GBrPF4vZuSZhlZtVr/N33d3Axn6Brk4SjqYmjplVkLxWo8FbqVD23e2h0T2jwixbmm1jOhyiQRlUBNki6D4fBUA0jd9buUPhkIDHQ3LV3Mx+aWkGrr1GoLtLoFrlXKpWqVq5sZ9hlG437z8UYrs0Tc1nn90mq+RCVnkrSkW2sd7gmLQpcYnpWRLiUlF596psT6HIOW6Vc9i4gcdl0vxdw1T/z1Flr1l5UCIR5akJUVVSCIZdHjlqezJDYaXKV1GFmb2c+5Eo58pznk2jvH+DEiopkeR0d9Pg9nhoHO/cAaRTLPmzdQuFrYJB5m2GQ9yQyGY47pqwFfeSSc7b/g2qNEGa12mK8ZkPBtkP116jxlKNTZfaRKjXSeZzGc7R7i7V/hDnaywmsHaNwLp1PKfVl/WaXQh8bIzzY+cObk5Ewpy7W7fweQ0ESZ67ukgACiV65azwPyuscGqK65KV4xYKco56vDYBbYqxz9xue8NpfJz36fECui5Ivgokurry+I2N2Sqy2SzHTNe5JtWqNnFLJLiOtbZwLRwe4bpiFYufXwAeeIDrbTTK803PcE1oaQY6OrkxEgor0Z0c77Onh5tlxwc5/6VUXrkciXFbKzc1DOW9drl4zMFDnHebN6mSFwbvtTnOjYBLd7Ev1qwBBgY4Vz0ehhUH/ByLbJbtCEc437M5tsHylkWjXF829NkewLPBIWgOHjR27uCOIACk0hLvfI+EoXOn5/Y7JD7wIeC1r3E8Zw5Wxyt/h0XLDQP4x38CPvVpE1I6IY8OLm7UajS02ttITLJZvsQLBUnjLMSX96lTttx9IkF5ZZeLIVP1Ol/MtRqNmY4OHvsbzyHJ8Kq8FF2FyFiS74YOQKgwpRoodpHgjvKmTdzBdRk0DPIF1vRKpWicWnlPrS32rnMwQIMyEuHuvqUyGI5wfb/sUhowI6M0XPrW04Dcf4DGdCAIQIXruFS+zdatvK+aEhK44nKBeDOvs349DdvmuC1Vr2lAOs3nPhYjMenvpwEzOsbQr+5uksJn3Qhcc5Uyllp4jqYmGqGlIsfBIqiAyuOJ0rg+cIAkMZ2il8Uf4LG6AbzohTQ8LZW26WmlmBjjWBQKJDduDw07CFv1LpsFvvlt1kvK5emBs9QAhUYvjWEw9DEe43g0TPZrLEbly0yGc6qjg4arptsCHfUax8/rI4kRoIE5sBHw+zV0tAM3PY+G//wix8o07XXU8iZ5PDYp1HVeM5Xi/NIE++zUMMP4Nmyw57gpOUdTad6LpnGT4Nhxhnht7Ke3Nx63RRo2rGf7i4rU9W9QXi8vYKjcPb+f/dDfx+unUty88Pv4falsexRTKdvAD/hp2FrEMhbj3KuUmYc5Ng7cu5shlDOznHOdHSo/0UMPJIQS7TCAeJPA2rXsVytsbk2v8qI1WCbG46WwyfSMUgZdxz48cJD9qOvsxwcOcv7U63y+xsZ5v4kUjzMMXjsSYRmDZuUNSqU533IFrikAsLgoMT/PZ9hSODVcnFPXXG0/Q7ffrnIZVXjskSP8/+wsz2MRq54ungPgnHa72G4rvM/vV9fQ2fZazZaXn5pWIcINrhlreklOsopgQjDEcW0vn1O3R11bhQxbZSUAJYq0iXMsFlOhmyrUu6g8Vr/xHM45v5+ktaWFfRQM2B5OnyLlQRWq6zLYh4EAz7F+LTcHOjo4nyxC7/WyfeEQv1tYVKUl3CoiQG0wWZ5tSKW6G2Euo8dNwufz8XyTU5yfgBp75T0MBDjvm5u4Rm/fBmzewpy87i5V6iDH43O5c79zHILm4ILx459K3HmXxK5LBDo6BHI5iXe/V6JW58OysR/46MckPvIhgWc83SFnDlaHpml40Qs1/PM/8AXy3f8G/vDtEpWK401zcPEikzGxdx9f8lKF1mQyfMkWCjQeDZ3KgpUy4HIJNMVoYK9by5d4JEpDzFKgC/hpkExNA7vvYw7M9dcrKXdleFhqiJrGvwF6bDo6mWeRzShDTeOxLa3Azm00JNxuGjS7LrEl14NBGh4bN9BAWlwQaInTe2Ap0y0ukuz5fSocz6tEHnyAy2Or+sVjVDTL5e26W91dNFD37KPCYDBIAyeVotEbCgnEYnZIlJX31jB5360t3OEOh9kHz3se+8XvV2ImFZKsclmpM0Y5DtUq8IrfAq66kjvxh48y7DQYooFXUzk51g7+ti28ZirN+7aKMK9ZQ6Lm9tDgu/5a9nk4RG9WPm+rFTbHSWh27bJDSltbGFbV0mwXCG5u4fjkssCunfzT2sb+LBSVOqVJMpJTQiNSMqS0qcmWBw8GaSh6PJSIn5yiF+/lLyNRF8ssulKZc6+riwW+m5vt/DEAuGwXcMUVHK91azlHTpzk79paWbe0s5NeGU3wvoMqjzIWs5UqhVAhdlV6avrWkxx3dnCMfT7g2TfaIhy/+XzgxqfbdQKTSZU7l2DfuQwatoUiSeJ11wj4/cC69TyfVUMqlVJkQio1QFDsJeCzaxHOLyiP8SJzKf0+lr44dIihmS3NPN/JU+p6Jv+fTpHkWQXa3QaNc5ebQiO7drLNpbItOOHzcT7rOjcY8jmSZCuML5NmHwVDNkGpVfmb1hZb0M8KM9Z1zjFDB7ZvE3jRC6gWaCqPrpU7lsvxfJbASyjIcy8squLlFfapy+DYbFNEqlZjuLbLBazpFRjYyGfYqp24tpfn9yjvfKlMImrVaKNnWaClmdc7fJibT7rOME1TqoLwKtogX+C5mpp4vnqdni5L2GR0jOO+ppdrlZUr2dVJz1t7O8fv+us4JxcW7VBUq6D22rWc51JyXm/cqMoQVFRYtOR5B0+oZ1yFjQPcfCiV6RW99z6WKYg3cZ673Tw3oDZ3NPZnOMyNmVyOY+L3k9AFVQRBvkBRn1rVzr2rqJy1+Xne+7ngEDQHF4y2Vr6QACCfl3jvn0o+fEEuQjffAnzuMwJXXuGQMwfnx65dGn72Y4H3vYfG4W++FJifd0iag4sTLS0aOjq4Ex+L0pCxdsYlqA4XiQDrN9ADA5B4lcs06MfHucNqhc7lC/w+kaRhuXULw7nm5mhs5QsqSR12fhlgFxmu10iaSko1rb2NBoOlmKhpNIAiYaVmVubOdlqRSotYlsuSpEcpvE1N0UjxernmW4ZgZzsV5bJZEqL2dmWU+ACvV2DvPizJ5Pf38zetbbyPdJr3cv8eYHZWIhYDbvoNO/9lfoEGy/17aDhqajc/FAZuuw34/o+4RjTFaNAmFtn+sTHuhq/psWs8lSskIps20VjUNaotulwkA0JwzE6eYgiiprwgmmYXqzUMGvVuF0mQAPsuFlNeLS/P6/MLTE6RAI2MkAiWy+zX3l7eVy7P/Cevl591dgjs2C6wYT3PEYsCr3i5IqUhuz5dNMK+XFhQ+TlgG48eA6oVic4OGtjFEj08lPTmuzcaITnLZDjvoLH/MxmOcVx5kaIRwVyrcd77ujUczysuZ+jaNVcpJUqDhu/wiK0YOT3DtiWTnIOGQSJt1cmyFEKDQRL2eBPH78AhEo3jgzRWwxGOTU+XHT7mcpG0RCPAvgMS7W0M/U0kVQ5cgP2laQxZtGqOhSMkoJYnxArR6+0Bnv1shh7ecAMJacAvcOQoPRwWsWlrpfc4GGJ45WW7OBY+Pzc0MhnghS8US+HCzU22EEZ7G+didxePbW+3ZdpPnGSfLCiRjGTS3lRxudi3VoFmv5/9399n168rlyXuuodjl80CMEmo+/p4XY9HecAVIWyK894NnZ4oKzdKU6G7pSLPMzJKcuTz8rpC4++tsgmdHVzn3C72WXsHpfILRW5CRCNUcWxqAnbuZC7ftddw3m7ZZOcUVipc04IBEqOpKf6+oMRQTNNWVs1k2Z6pKfbTjFrLIhF+d9sd3FTZNMBx83jtEiKjo8CGDQLPeZZAOkMPZDbLdUQIzglTbQRZeXlVtfYFAwwjLZeB3i6uP426XS7l4CF7Y6JVhUhaubkW0Wpu5roxNgr09QlccZmS1U8xnHR0jJsCfj/n5JKK5VngEDQH58VttzPn7IrLBTZtEsjmJN71XoloFPj0J+l2L5eBz39WYM0ah5w5uHC43QIvfL7Arkv4onjLHwG33mai0XBCHh1cXBgY0HHJDhoarW38zOsFIGnINOp8OR85QiMXoLHqV16hhknyYdXxcbkoXnHD9cw9aWrS8Huv4vepFD0B+TyNiB1beb5gyBZvCIfZlu3blEqbmzvj7W220QjQmJmapsdtYpJGy5bNNGSCQR7bFLdzegYGLE8XDWkhlGesB2htEQgFaYSm0jS8+/oErr5SIuC3Q8D8PhKZ+Tkad6EQAEFDuqVFIBwGMlnB+mFqlz2qwiutGmyGm9fbNAB0dQAb+qg4GQlzdz4aozEfb6Lhe/11JCsAPT+JBVsRspDjGKzpZc5Kbw8NMp+PxlJznGMy0M/PmluoKOfz28ZtuaS8kG5bFGBuTrL+W5b32NxCA1DXVA6eCk+NhmmIbt9G49UqS1CtKVJY4v1LQbK5YzvH3e9T+S0+fl8uq3INBsdX6MCluwTm5+gZskIce3oEWlVuF0BD31LVazR4XWtc1/QKrF9v5/0YLt4XSyKQZBZLdr7O5BRw/LiteGjVmHN7eN9eLw3vUJBtXFjgeDbFVHiX8rz5fGrOuWnAJ1M8/4lBFXrmIrH3+TinN/RxfjXHGRJYKnN8Ewl6U0yTRvD8PMnjDdcB7R0sjZFK0XivKm9SbFkunKbZmx9Pu0FQJMMLXHMNNzrmF3hctcrn12VITM0oFcUo21Aus/1eD++lUGTfSsk+8vnZ9+1t/KylReWvdtLIn5ykYiLA/jp0WGJomGuBJfJiGMCzn0lPzjOeAUxOC1yyU6BQ5DqxuEjvfCxGsiMEx7m9XeBFLwSedgPHytrI8Pt57kCA5D+V5qaPpWqaSNqFnBNJ4MQJoLtToKebGyCFIlAqS2Sz3Li58graf6GQWCrRsHOHUi+UVq1Egc5O3nssxrkdj7Odl+wErrtWLJUqcbkY9v2064Hubq4VqTTP096uRFrcgMfFcOVAgL9bWJA4ekzisku5JnjcDHtsauJ1t23lPEunlTe9xP6yPLGGwXsrlkgie7q4dhk6Ca2lvDs+Yat2ViqMIAsFud6HQoDfJzE0xOd1+zZ64wN+24Noze1zwSFoDs4LKxEXYLHWd75HIpliTH4mK/D7vyfwjx+jUp8DBw8WhiHw4Q8JxJr4gvjAB4Gv/ZdD0BxcXFhcMHHfHr6cr76Sn1WU8d7WKlBv8MWraQz7A6hEGFS5FAB3WCsVOz9kZpa10EZGON9DIRKgas1WcbzyCluWPxbl3wx7ouHTaPDY7i6GH+mGCl/aSMIhBL1z5RINop5eoLVVwNAlqhVgcVEs7WZbxurwCHBiiAaH18vPC0qgRNdp8M4vUKERACoVAU2jgdTWQu+IxDKRgzp3u3UDiEUFC/bOq7BIDXj+TTxXMmkXSA4EgIVFuUQMAJUPlaGhValY4YoUzIg38dy9PfRCWkbb9q1K0CHDa0UjJDMtzTSkslka+UIICI3Xmp6mId/cTA+IrpOghiMMhSqX+fvf+W2xlJ+Xy5MgNDVxzONNJBSWkf30GyzjkF4r6/4LBd63pnGMFhYoi6/pnE+trYqQRtmPlQrw/Oe7USzRaAa4mx8Js48tWMIHfj/nkFDf9fbyfd7ZyXZv3QLs2imgaWKpjEKtznv3+QS/v4TX8KiQsHXr6BUqV2jEB4MkvWMTYmmexpXHLRKhd+U5zxaIx9n+QIBeDcOgqqWlwFerUxhQgN5mTeOz9tznCFyyk/fU1cW+zWRtgzoWtYusr1vHfk4kgYMHJUolEpdkkqTq6DGSre4ublAcOYqluTs7J9HczPHdfT+fI7+f4zQ9wz7zegW2bxMwTSCdZJ/29DAUz+fjxkk8zuv5/SRPLc22N9HlInFOZ+ih8wc4Py1Fv6ZmjiWgclFdDGmNx5kDum0rUC4LtLXyXopFGvtSrQujY7Y8PGDVahTIZknWohHOSZ+P8yCV5r+FCue0yimsXw9A2oWWy1VgdFSiUuWY+rysxxeP0/N99z306u7czgLWVn6dpVwohF1I2lC5YadGmM+4fh2QTAnMzkps3vz/2Tvv8Diuqv9/73aVVe/NVR73XuKaHtIg9JIXQg299xd44UdvIUBISEgIEDoBQk0ISZzEPY5799iWLVu9l11ptdrdub8/vjOaXTVLtizL9v08jx9Lqy137tyZPeeec75H9Cl7hsN0mqurgVtfwXteRjqdoawsnkc4TFEfs54rEuXnHDnK8zhvHu9VVhTY2txoazM3hjLMuuAoN7p8Pn72ddew11lKKu8FWdmmyFOUr5k2lRHUKVO48dMdEphRznuEx0On26oVzsy0HXArPbW7m9fMcCgHTTEkmzZLbHtJYsVyNplub6daY3sbd8PWrePNx+vlzV2hOFfS/AI//L5AUhJw043AHx8HPvJxA3/+q5FQ+K5QXCxaWiUKC+g8HTlq9ymydsrLy+k4eD12PUlqKndNLUM6ycf/DXP3vrPT7MtTwMc3bjab66bx3iold+bPVNnjKCiwjW/h4N9D3TRmamvp9OXmAmvWCHi8lL+PRE3VxBJbnjw3l85aV7dEko9GT7eZEvS61zC9LTeHjzucdkF/by+NyYJ8O0oHYdf77DsAvPI2PpycbKZemal7lac5j9GoKYriE1ixnK9bvpwGqaZxjC4HkJYmUF/PuSoptqNZVkpZdQ2PbeUKK9IjUVXNeZmpASuvEigupoHd2clxeL007Gvq7P5pFOaQyM8Hm+Z66ahkZ7G5r5SsP8vJpsx4WYkpXX+KkSank4Zzeprdiw5gVMNqbRDqAYS5MhwOGvSRCOf4qhUCy5dxHA1NrF8sMNND9+3nxlVykh253Lo1gsmTaLACZr1aFAnCXDk5Ak4XPysn23ZynebczCino77/AA3u3l4eQ2cAKC4SaG3lG1dVce4mlQkUFHAMHg/XZ0enqS4a5BqdNVMi3MPU28rTZsQyGzh5UuDPf5XIy6MzcVRnKu6ZM3SkSssoyx8Kmf22crjmUlOB3XvpOJ4+w9qhcA+PYepkjiPZFH+wBC8MSYM41U9nbtZM4CMfBFYs5yZKeTlwxysF3G6mcS5ayNdlZphOoSmgkZnB8281nS4vZxsIIQQqKyWyMu05Beh4B4J0lArygeuutdP6igr5nGiE12EkakZIkxm5tAQ6ADoD11/LurNYzI6yRCJmjzrJx3PMFMykJK4tqw8Zx8K6yEULufGwZRuvjxRzAykry6z38wCvuo3nNDOdTmp1jamIGLTrQadMYTpeZ4COR1cXswhiBu8/DY1c+3NmC+TlsS7tFTcJLFkscKqSEUSHg/NvOY5C2AIthuTmf3MLcOIEe+f6vIx6/vZ30hTVYWppWzs3IkqKaYfCMJ0nr30tAIzyVlTQEZs/j9dbaip79s6aKbB4Ec9rNMqNiFVXmX0CzfN18hTPSXGRQDQKNNRzPa9Ywfuf1SojGKQD7PXYtXnBLiArW2DOLDp/u/ZwrQeCQHIyo4irVwHzzqJyrhw0xZC4XHY4vLlF4sMfl2hv587PD74H3P0uByarlEbFGJGdLXDfDwXe9x6BT36MRvAjjwIf+6REfb1y0hQXl0BQIimZUYfOgC24IMEv5bwc9BkQFtEoIyCrVnG31OWiQd7bS4PmumtoPFh1XqtXMmW8q8vuyRQI2vUplpCFwwHMnS3gcgrWi5jOnNfDFLmZmkBKMl8T7KJzISXV8QoL6EQkJ3M3HaBDkJ7OY1p1lcCMcgeiUUb32ttZa2IZilOnMv3LUu4FaGgV5JtqasmMSgA0uMNhRlCEoDBHSbEDhYUCmRkC3d0S1dWcj5wsgeuvdSArk8ZoTg53y6+5WuCmm9jKIDnZFELJpXE2U2NU8KXt3C13mKlga1czHem59RJd3TScJk9iamdHJxUELVVLS5QBYORNggbfkiU8sgXzeYDBLrOBbzMN0vYORjRSUwUkBMrKGE0rKmTUwxL2mDqFRlpLM7DtJd7HrIgkwLV0okLSgE6lcqV1rtP8TE2bPp2PJyVTEt7l4lit93A6WT8TiUosmGevv8ICKi4fOmLXu9TWU7p802Zg7z6JllZg8xZutC5fxjk+dESivoGObloajV9thkDFSTqMR47SOfC4bTU9p5ORydRUU7gi3WwmbaaRFRdzg2DxQkbtek2BjO4uoDBfwOFkGltGhhm1cNP4LSqUfTLys2aaTlmKmWLXTSejq4vR0EOHWf9z8BCQnCRw803ANVcD6ekO5JrORmoy0BmQqKkx0N7OSFc0yoygyZMYxczKZOR18mT7b23tdi+y7m6OY/p0e64dDhrwHjevr7p6HndWlh35LSk2HaUUew3U1ZspmuZXXGUlo9exmMS0qWavLvB6yEwHrr+O1/yhw1w7RYV0VsNhMxooOE8ZacAtr7BNfLeLjrjDITCjXKCkxGpbQaezo4Nj7O6m0+zxMJXU4+VjMYPna6bGa/nmGwGPm+csO4t/i2fffoneCHDrzcCKZQI+L49FCNEngDR9Gp2kpiY6UMuX0fn0mincc+ZQIAbg2EuLucnVE+aYWtu4qWOla5aWoM/RnTFDoLCQTmNpialgC2uOJfYf4GZbaQlw9VoJj4dZABkZvPaqqoHOIJ9fUsJz73QKNDcLHDvGCHJbG+9Rvb08z14vz1NODpCXI1FTy9dNKmOq5itvA6JRifp6bjhUVWNYlIOmGMCWrRLbX5ZYeZXAsqUCum7gf+7iF2l5OfCLR3jDUyjGmoIC7sCdqADe/S5+GRw4CLztnRL/fkoqOX7FRWPlVa4+SfD8PFtUIyWZNsHuvUwBLCy01fR6wgLhMI2K9HQBl9NWtktNpVHb3MzUOICRh85ORkYyMxl9mDeHxhxgG/8AjVSn06qLYUpjfj6NhXA4MaVtyRLufFtqiJkZQE2NxJ69dDQ6OiQOH+Hn1DcAvb0Sy5dyjI2mM2JFAZwO1vJYvbcAflYkQmPW4zEbLcPe1T9y1Gx87QRmzHBg+jTR93efj/Unpyr5mkjETqVzuQRe3inx4gYJr1fgja+jIejz8D3r6mhQGQadwfR07t4fO27XQtXXc/Nn1SqOMzWF4ygpFnC5Bbq7aJgKwfiWFYkMBoCUFPakcrloZMWitkKg0wksXgzMnSOwdAkdplOVZuQtm8b4ksWco4w0GtPJKTxGthjgXEUinJvqGopLuJy2QMjMGTyvebnc5e/pYURr5VUuhHo4ToBjycmxGxxbRCJ0bIoK6fQI0FFLzwAWL2ZKFkDnwDAkjp8w57Kb75XmF8jJFkhO5vmyapvmzDajYG1cG1bj84ZGnoeMdKZ6WXLnVjQqL5cG89vfxl5nOblUHc3KNNtLOPjcSMSUxQfXtBCcL6t/Vm4Oj8np4mvnzwMmlQpMn8a5z8sFGuoltu+g8wEw+jV5skBvhAIU1ro9fYbr1u8HmlvpGMYMYNduYOECKrEW5LM/Xqp5/j72EQfe9j8CebmMbLrMSKXHI+A0RVV6QjyeM1W8xq32AQDXUGMTkJ0jsHA+r1ErGjplMqObTU08l9a1bzUY37FTIj2NBv+xY2az8RKOf8oURg6nTAYamwXa2u3vy8YmXpfWfcHrFey72GSvoZkaVVAnT2KqcHIS6z+XLqGzH41azqVgfaWLY41Eub4tSkv4j70GBYri7omAnYboNjemUpLppO7Zy/F5vbwmjxyVKCuj81haSpXQ1FS2SLBSja0QQUoykJFhO3RJPkboU1O5qRBvOrS1maI4k3mPEUKgsYkOW5Ivro7WfPP8PJ4jtwcony4xfTpw1XJuyqRnCLg9vA9kZgqkp9G59CVxzQvBe0JVtdljMGIrn54NZWUrBmDtCAcCEt+9x8B73s9FtXIF8P3vODBlslo2igvL9dcJ/Po37PNjKYn97GGJT39OorlFOWmK8ae4yIFlS7nL2trGHXymudDQWbyQdQnOuNvjCjNtbfdeU1nPx+jNpFKryJ7RhmlT+fztLwN79gGxGMUKGhqBbS/ZUbnOAKBpptUg6VRMn05joKqKxnF3iKlUVmPUgnzg+AmzT1mUqWc5OUBRkcCC+QI52awHmlHOSFzlactIYlQtZtDAyMqiwSUlsP8g05as2mQrcmY5Z5PK+NwZ5ewJBNBoaWiw6+0A7kgvWcxo2lSzni3JJ5CUbKdPHj5sp3g6nXQwQj00zDs6aejMnk0nwu3mHOdkU0SksJD/AKYXCkHRkaxMAEJCgIajZeQVFjJlr6wMqKrmo/v2myqOHrMWrZjnKzcHKJ/Ok11TYzboTuV5tfqOHTvO+ayp41i9ZgqiEBTmiEQsiXS2HnA46XAuWcy6xpY2oKZWIDmFr/N4ON5/PRlBUSEwaxYfl5IOjMPRF0AAwPd/+hmmeiUn2dLlgOlAxDlzsRiNyN5es+7cxyhOWrr9nMxMjq+nBygsZJTW66ZT5PEAa1eLPhGUM2foKOXk8JrZvYcG8I5dEjt3c6PB7aRTWlpKx+3mVwA338RrKSeHY9izVyASoSNx+gyPQ0Lg9lt5HrKz6dxWV0sEg2a/uRgfX72S5wQAKk5KpKYAb3mTA/Pn2RsETqcZnUwyUw0dvIZXrDCdI8E5X7KYkWYAOHZcsrWET8DlsttgcA0JpKaw/UG+KSZkRcitc+NwUBW1KygxdSrPn7Xx4nAIFBcJrF4pEOpJPEfWRkiohw7G6lV07LKz7c0Hp1n3xDVvU1hgb6gAdDrCvfa4Ozq5eRSJUGijtpb3rqwsXs+5ubYioyH5rydMkZCSYjrYFtnZAvPmOuD1CvSYNYDxY7GUQTMzOA6nk9dQko+iO+0dvI953Hzd1CnMOBDCnA8BON1230HAdgAzM3lfWrwIyMxiCvLiRbyX9X2+m86ZpXpqOWIrltt9zCIR20EyDG5UxaK8rxoGUFbGjZnTp+3NBG0GgxpaOTUZ8vPNmuQKHovHw89KTmaE72woS1vRx7btEjt2Ssyfy5vRs+slnnqKC37NauDrX1XpjIrxQZsh8J1vCvzoPuBVrxT40AcFOgO8iVdWQkXSFONOU5Nkg1ZBg9HhoDNSUyMR6rGNF6fLNkbS0rijumIZ63uKi5mi53DQoVmySGDSJBoDAHDNOu6MFxUxNSYWpTFmOXCpKSzCf/MbGW0GAH8KlerCZprN5DLbWPG4GXWwVAqrq2lMlZWyriLYJREMcLy9vTRmr72ahujuvXyPaJSpZj6vuTstgNtv5Wva2m0Db8ECGu75eXRSwr2MKKSmcpyNTTSK5s6xzY5QSGLnLol9ppgDQIMrKxNYtJCve/1rgde9mn9zOASSU2gMLl3KyInXy1TN4iI6Pqmp7NN57BijbM3Nieexs9Psl2TWZaUks/4NAMqnC+QXMC1vyWI+JhwCc+cKpPjp4JaWMqrjcNrfh3X1NDb9plBHcopdy/Kq25nalJUJiDj3qamJjkFbG1Bbz9ru1lb+27GT81VUyHqZ0mLz+AWb+SYn0Rl1Ovh+U6bQqRQOJHhoqamMOHV18/y6XbZTfURnStxMjY8JYdYnZXKtdHXTccjJpmw5QCO/u5sO89y5bGWQ6mf0pqwU2H+I6Yi9vXQGolH7Xu3xmCqUaXSGWlq5zpcttR2fjAwHCgsd8Pt5bkI9TAP2+QTmzKY4R06OAznZZrPfqPkZBh2Ixia7btPl4jisFMHOTl6vbW10AjLSBSZPMo1vU62xtETAKbjGk5Ps6FtbW2LqstUywGFGQiyBHet6EQLQj0vU1PA52dmJtpND8F4RiwH19aJP6Afga1vbKKDR1WWnEQOA2yOwaiWjmrW1dKhb2ygs9No7uCaLChmVjGfpEuC6a6n6aOHx8Hq0NjBiZhS6s5OOtKX0OX26wJkq0Xd9Ws5Mkg9wOZkhkJXJ5w+G38/NKRE3BT4f+wuuXiWwaIHZ4iCfKY1uMz04zc9NnTWrqfxqOVNJSfxbLMqxWrVnQTMdEZKbI41NQEEe0ym9PnuNAVwjR3UMqG+fMpnXQnUN58Nr1gxbAiPJydx00Y8xVdHlEkjzJx5berrA3DkUAsrKpEJvcTG/F5qb+cRAAKivO7sNoxw0RR+9YYlIBPjilyXuu1/iZ48A11/HmoivfEnA5VIOmmL8WDBf4Ftf55fo7bcK/Phe7vC/sEHic1+Q+PH9xsUeouIKQkrWhgAs4He7zT5LPhorx44DaekCy5aIvtpdgAZwewcNcsOw6556wsCLmyTq6piGB3Dn+6RpmHWb9TXFRXSs8k1Rjrw8SvJbWCIlUyYzYlBaaj/Wa0ZoFi+iQTdlsm1MdHTQSAmFWV9VeZqv2bGTKY4Aje7Fi2g89oRpHEUjTNXKzaVTYpiye1XVfO+8XFtRzenkYx4PjbKODhrIFlavtZ4e9hmyxtXczFQugNFEYYpQORwCNTW29Pj+AzSyfGZdCgDU1kkcOCihzWC0MiPDPn/WfJ05A9TVM+oWCgFbt9nnq7uLkT6rPmTxQhpt8+Yw2mOd08UL7desXU0nrarKFB1JosLdyqsccDjZxHfeXGD1avs7NCODO/VuF/qcAqczMV3M2vWfOVNg3lwe4+YtPB+BIBAI8v2mTxOYqVGsy++3oxmGQYdh2lSug5wcro95c635ZIR1tZn+6XHbyqAAjcp4Zs9mTddMTWD7y0BdLSMp8+ayRtESQbEajgeCdJodDlt4w+MVyEhn5DY9nU5Rf7xeCoMsWcQoK8A1UVoiEQ5LNDTamwrBIPCRDwncdKPAsqV0rKdMNvvq7aIjZJ335mY6hlYT4dY2c83msf7s1CnZJ6NuOVwC5qZK3DCzswUyMqj6mZvLlE/r+fPmmkqeKXb9XnKyNB10ey12h0zVVr/sqx+18KeydtDtSnw8FpXYuk0iEJCYMtmOlEWjAjk5AoYhIRyUw7eOGaC6qeXgWIOobzAbgndZz+H5WLaUAjVJPt4/OjrsfncSZg1gEtOxMzMFSku5GdMbHnAaAfDeZ6VRWhQX89jDYaC2joIdpyopTOcz06Lz8zgmSxjIwoqs+3ysh/V47GscYLRt2lRmDZw8JTFpEsskIhH7vjNtCjdo4gVLrLEmJfFzb71ZID3NjlA7hJ3OC9ibanlmunt/LEXfcFhiUhnnOxyWcLt5bPPmo2/jZSiUg6bAixsMfO0bBv7xL8rxFhcDGzYC//dF4EtfEPj8Z0TfTVKhGE+WLOZu+EMPG3C7BR79mcDefay9uHYdEAwaOHJURdMUF578fIFr1vHnAwclohEaB04nHS7rW97pZCQsO4vPTUkROFUp4PHS0J89iz22YjEaExLo6x+pH6OzFgjSSA91m0az+b6D1S1YBlNKCiN2DifNZMvo6OpiXfG0aaZRZkqDO8xUrtJi1onMm0tnJdhlpw2lpwuUltBMSE/jbnhmFsUgvF4aSzdez3Qer4djOV5Bo3X6NNaVtLQAH3gvcNstNErb2xPHP3kSd/6tqzgl1ZRcNw2gM1V2fRoA3HA9lSwdDs6fw0Fn2Xp+tpmSlZVJRUirfsraLJeShqg/VSISoay6tQtv9ZuaoZk97kBnoSdsGcN0NtLTREJUZOduGok5pgBMUzMdbIDphadOMwLTp3oJRoWOH2eEq8R0UtLS7FYKQGKfpPY2rp8MU3xj3hwBzUyT2rxV4tBhpmx6vQIrlttji0bsddATotNfXS37jnfjZvaKsyJoLa1m7aAHcPZTZz5VKdDUzOhBQT576+WY69zjYaRNCEYMJERfeqElahKL2bU9hmEqkQ5iWmRmcv0UFtp/7I0AbW2i7xpwue3z9vyLwM5dTGc7UUHHq7CQ47HOvxBcA1b/N8PghrTTyZR6S+QBMNtCWA6asJQ2B47TISwHVPQdB9socJMmP48bjEUFPFa/3z6++fNYRuLx0MGbHyfukpTEiOiMGehL/S2fDqxaJfp65AUCfJ3HzbX38g70pT0LwesyPX1ouy0rkw6HFRmbqTHi63KyHjUa5UaLFTnMywNe/xqel+6QVTtpoKGB2gRz5w7+OcnJGBBlKi4Sfe0mJJgunZ5Gxzonh869EHZdmsXChWYacRfvNUbMrud0mfes+EheuIfrYenixFTRnFym0wohsG5N3GAlMxOmTBEIBu0xR6JM03QI+75grY+srDjnN460NAF/mnlfEqwlLSnmcU+dSsGk/IIhTo6JctCuYIJBiUd/aeDr3+IN+q1vAT75GYlDh7gg29usG49yzhQXl7JSgU9/jv33HnlQoKwM+O4PgLvexTX7re8aCAaVo6a4cFRVGzh02O5RFDNMpa/OxC//+nog1COweBHvm1lZNBQL8qn2F40J5OUKvPPtrFUoyEff2r16ncC0aQLJSYxsWH2VigrNXeX8waINQEzaKUkAAGEbm7EYd2yjZmF+Vqb5FGGmYzlEXxQjJYVjdTrpcPWpPLp4jIEAjbYpk2loG9IeT04Ojb2F84FFiwSmTKbxwzoNgfZ24A2vA97/Pm/fa3p7TYXBuFQjnzexefCK5QIrV8SnZvG9hRBIM3e4q6rtKOR119Ao3P4y8NzzTKMEkJD6J8DnRKOMEPTt0gtGjRyC6Y7xRCJUORyMUIjj9nho6GZk2LvqV61w4LZbaIlaoh4Az+9VK2hsdnUD111DafvWNvs5DXHpbWnpdDC0mXa9ksUszU6DjcfrBe68kw5pcREjXdGIbXRbjtJRHX29yPg6gUULRcK6BhgpnD+XBnRuDsUklizhPEWjEs+u5ySz95ap2geul5maQGGhA2VlNKa7QraqX39qawGnK9H2mD5NYOVV9pisKKG1zsNhOrHt7VynPWGJ4yfskz51iinaYB53fp4DxUVcAwcPSgq8+JkWOqks8ZquqbVbZcQTP/TBrKTkZMDlZo/Ptnauaav1gJSsOawzBXXiM5TaO4AXNnDzwYoeWyqKqam0yzoDrMnLzuY9acVySvsDnNdn1zPaOBQut1lLmWsfi9fLeSwq5H3HygRITaViY16eA7NnsfYqGuH4PB4gO9PekOjPlMncMAh2DTIG81prbeXcT53CtMerVvC4gER1SCkZoUxLE4hFec+z/h41/6+pYTQb4GaP1eA9Pshw+IjE3n382eu1netJk5gCHgjwWktL49yGwxTWycoy21PE1fINRWenhDR4vqZMYjaCJYrS0gL891lg567h30M5aFcg4bDE7/8o8do3SGx/GXjwfoH3v1fga9/ijmpjE/DRDwncfptyzBQTg1tvEfjQBwQ++RmJk6eAb3xV4NqrGWH4/Gf4BXrn21jPolBcCLwepl11dPL3+DRGp5O1X9Om2D3NBiMzk5EJh0OgoZ4CFFVVNAgA4Phxpi/l5dLgSU6mAeJ02jvE/Qn1mPUs0cTHrb5l6enA/PkCVVXckV+4gI87HDTkgkGJri5eNykpNLIjEYl1a1nwDpg7yM00cJOSmQ45ZUpitKelBVi+FPCnib6ojdfLSELFKaaAdnUnpsq/4kZg+VKRYNyy3iQxenQ2iovsWpqKkwJHjjL9KT+PRixg15MAjGjVmlGjaCxR4S01xXZi4x+j0zX4huWN1wvUN/A9S0uBO15pRlUBVFcb2LRZoqCA2SkWVppsaqqdbpXmZ51XQT5/jk/dcggaxdu22XVVFpmZ9o5+PLEYnZbsbEaIAkEa5FZkK/41QghIybmYUU6Dv3/mjH6MqedLFjtw4BBQUSFx5IjllAksWcTnTZtK9bxIlE5Iby+N6XCY4hMzZ7K5+FDtU63m2PEcPiKxZ6+EwwFTDt0BTbPFFlwugUULed6zMlk3Vnnafr1VG8e5Enj967woK3P0CWfk51kqh3T84yNokyfZjkw8Pp99DP2/eZYusY/BcsIsUY5AwGx1kSQGpE8yiipw3TXm+5pvfOZMokFfXMT/rVTRYJC1U9axAox09Scnm/egLjNCZPVmDASstiA8d2lpvF8AdLAtlUkhKOrj9TFNcaYmsGefnW45HNbmlt1EW+D66wRmzODYN27mvHR2MoPA4Uh0fKuqBI5XMF3Rmm+Ph8dkcc3VAm96vaAoh5ubuQcP9xuIHCi+kp3FOe4J05lKT7NaTwh0dXEcwSCvpZKSgZsX/XG7OaehENd8xUl7nNnZdo3rcLjO/hTF5YKUEkIIrH+eub5vfjMLzjdtlnj8L8DHPypQUSHx+tcJrF6lnDPFxOL2W0Vfio/DIfCedwlMmSzxre9KrFtLZbwvfUXiphslPvDewdMOFIpzJS9PYPUqYOtLwJvfKHDwkMSpU6aymAMoL+d66wzIPmehP6kptqKbptEgOl4B5OVar6VxEo1xx9xKiYvF7OhGf9LTgPwcGvZOJw1rf6rd92f+PIGdu9i4tr0dmFxmFV7QyczOpjN44/U0RJqb+fj+A5TznjSJDlNmFtDWaqcXBYPccbd6Q1XVUOygO0Tj1MIyxqRM7EUE0AGgMmHitfrG1wl0dg5zMvpZw7Nn2a+fNZMRtbZWGuRJyRQ+oZw2X1g+jalMViG/5UwBNG77iyxYKnlD8ex6iYXzWbNdWMDmvNaOfnOLde4oLmOdf8BWV/T5ODeTJglMm0Z5++dflAlOd7CL9VvRqEQ/bQNs2Ejn6eq1A8e2dx9QUCDR7GF64NIl7Au19aW4GhzzuZZTEovRWL72apngUDc2URRn+nRGX8Jh/p+fR8XRrCyBdWvYEuFUpURRASNGVtqZlFzjHR0S2VkY8hwnJ4sBdT1+v52CagmdFBWKvpTZ5GQ6ZYbBuS8ssFNAAfO6irJuCmBkIxDghspxs7a0IN92iKy5cLk45vSMgeN0OgVKS2XfJkA8Ho+AxyNQWiL70m8dDl43fj8jkB0dEu0djLIJwXVqfa7TKZCRzhTIxiaqQlpjB3is+Xnc0ACArdskenroSMWvsf7Mmc3n19TIPkEdAIgZAknJEi0tFDfJzeGamzObaXqBoB3VArhGIhHalGvX2JtMw5GRYW9wJcyjgzWW69Ywkulw8PjmzEaC+mJHh0R3N68Vr1dgRjkFX5pbmEII8DrPzASuNtPRpZS4Zp3dygQApk3jObAaygshkJ8nceIk109nJ2t+4zeJhADWruFcXXP12Y+V9odEby+j8mtXWymnnDPvMOfIQkXQrhCklPjs/0ocOSoR7pV4393AK24U+OVjbFh5+60syP3wBx3KOVNMWG64nrtXP/+Fga3bJK6/TuDH9wrs3Mmb4Nf/H/DfZyh0o1CMJSdOGNi0BVizSqCokH2ALMMzfje1udkWvOhPXp5AiimZLoSA2y2QlWELZyxZLFBcLFBfz0jX6pVMe8xIH7wQHWBa4utfJ5Cby+hO/z5oXlPgony6wNLFoq/eySHoGM2f5+gz8lJSBFYs59gaGoEqc0c+FKKzIxxUc5w0SaC6ul8Exvx/yhQaV/1JTU2MuAE0hvYdYD1Y/LdOZqboq8sbLZEIj7+6huMozE9MH3O77X5eLhd37ENx6VmpqQLZWYmfHQoNTCuMx5/K97Kilj1hOogAU/O0Gexh1t+InTeP/Zeqqga+p9PBNDSLqVMAIyaRkQ6sW+Pqa18ADO08Op0UuPB60OfUSknnDKCRumIZnSjA7B3lpUOQl4tBowQulyV9TsXM0lKRMDdeLweTnWU6nFMF8vOs+jQ+p66OaWrWc0dCaQkVLV0uewO5qJD1RQAd3ZxcRn6SfEBTs8TefYl5rcEuoK6fel7FSdbLtbfz2CwHzYoeRqNARztw9Ojg4+oTnxli3DW1vE4cgs5sQQGjc5EIz6/VW83h4Dp1xG1WZGTY0c72dgn9mD12QyY2Ovb5uFGh63Zd2XAkp9DBs8jK5Oan0wm87rXArFkck9tN4aKTpxJfb21AANxQKC4a/lyuuoppr8DAdeX1sibL4xEoLjL74Znjid/suf1WbkQBACQS1k/8vagzYGcC1NVTzTV+dOXTBl7jh4/yflRczDTl+KicQ9gN2UdKW5vsSyXOz7Nr1yxGUjmkHLTLnO5uiY2b6LG/4y6BaVN5U972EvDO90jMKGdKxvaXB6ZNKBQTldmzBL76DYl/PykxUxN45Gf8YvrVr4GvfAn4wucEjh0z8K8njT5FOsWVh6ZpWZqmPatp2nHz/8xBnlOqadoLmqYd0TTtkKZpHxvsvTIyBPLj0pza2+2mown9pKIDXjoksZjEqdN2HcW+/RIdHYzA1dbS0JKgo9Q8TApRSQnFEGIxNp9ubbPv5xnpNMbq6+1GyQCNosIC7qRbDmJPj8TzL3JcyUm2AVdSTENxymSBa66mZZGcnJgKaNVXBIOJYhhCCFNMYeDuuctFw33qFLsP2kgYrstGRyePdf58s+nu5MS/p6ayRqW2jka4YQB1DYO+VR+xGAZEreJZuID1YpYR6xB0FACgsUni8BEJl3Og3HpeLsUfiooGRrOuXkfHxsLhEDAkcKaa44mP+jmGyBU0DCqA3nA9MH0603AdDoGr1zJiWlbKXltlZfZxCgedoXgHMJ7Jk0VftLgryMjZYFPT2zvQEI+vkRQY2qkZjB07JTZtTvwkIUScmAuwfKkDn/ioQFERe7TF9/2ypqi/0I5liJeWoK/5cjzJycCkybZz0R9pXmcD5sB8gNehQHY2ozhtbZJqrmFGCqdMFqba6cDZMAymiAJcs2fiHPnsLDoxFqEQpf17I6ajUUSndSiMmL2hAHBzKDWV/cKkIdgnLczzO1hELisTKJ9+ljy/OFJS6HyuWIYBa0sIRvKEEKg4yeuxqJBOTfy8uFy8kSTU/g22iMy5j0aZGt7Ur9VGWZnoq6+1yMvlGunutlKz7TeePdsW8hkpVv2lEMDpKuCllxP/7vejLyV4KJSDdhmzd5/E298t8dTTEoYhsWGjxOatEk/8DdiyFfj2N1gc3N4O/PR+0ddXR6GY6KxaKfDDewQeekTiL09I5GQL/ORHAuXlwDe+DezdL3Hvj4EXXjTTw3qk6p12ZfJ5AOt1XS8HsN78vT9RAJ/SdX0WgKsAfEjTtNn9n5Sb68DMmfY9srhYIMk30EE7W21CPA4HaxFmlPP3qVOYqms1cb32Wu5OCyQ2wB4Kp5MOT1EhHba1qxlFOnyYO8OVlfZzfT5GN1pa0VfALwQNVaeTUQpLKGPWTFsNz0I4Ens0LVvCiJ/VRiCe669jes9Qm4AOhy32cDYKC+x6oMGcpoJ8genTKbjR0cFd+Xh6epheWlpCYYv0dBpnw9HSmmgc92fTFo5p9izbwO+73UhTudAhBog2ZGYKXLNOJKgZDrezvuoqYO0aYNv2KI7ERXTi0/HicTioEnn0GJXzLMfK4xHYuEmiqUli/wH0vVd2No3azoDElm2JAg0W+/azFgxgjdlQxAw7FdHC7eb5s45xsLq5oZgyhfVl/bFTAoGnnzHwm99JhEISSUmMRlvEK3XGk5bG93jFTZSqT062678AOj5NjUOPdTjHHeDmhsMh0dJKIZ1olM5KaYkAJOc4Fhu8t+eUyXatWX8sVUGLnjDQ22s/UJCfuFHSH6uWqj9NzcDe/VRwfc0dVI1cMB99CrYWQtjZAKMhLW34lk1NzUwtvO4agQXzEye9yZTrdzrj+sbF1QpaeL2MeCclCeTlCVx/7cDPy47r7wdwI8vtttsyxHMuQnnxL8nO5P0xHqdTICtr+PdVNWiXIeGwxMM/l3jyKeDDHxK47RbeZGpqgCf+BrzhDcBd/8Mv6Jpa4OabBn6JKRQTndmzBB66n6kWhsFc9I9/xIGVKyS+9R2JJUuAT35MYMdO4Im/8+8f/TCjAIorhjsAXGP+/BiAFwF8Lv4Juq7XAagzfw5omnYEQDGA/qXlCYR7JGKGKVcf55RlZgI4NeTLEhBCYMZ0qrYBLLp3uuhY+NPYLwqgkda/H9BgSClx4CCjRml+AZ+PEYarVgA1tdJODwK/J47q5jjMxzweRnPORmkx0+Di03asdCOPR6KjM/Fvz66XKCuVmD5t8GvP4xlZyg8AzJ1jPVEO2nbAoqqK9Sunz9gOMEAjzKr5SkpiJKEgf/Ao0FD0f25pMR8rLWHtyoFDjORlZXG3fvJk9paLRsUAR/Sll4HZM2m8A8PPQ0qKQGYGsG6NG4GAvSAcDio5+nz9nGgh8KrbJA4NspLj63usCEN5uUBHJ9iQfYixFBbwGOMZTMBGGnHNg+NITjbTdSVGFULLzBg8cur1Ctx4PX+ORlnvFQoNfK7PJ1CQLwd85qHDjHbEOw3x4iiFhXTO9WPAqpUDP9/adBjqUKpr6KAX5gMeHyN2pSWse5PSdqIGcwJsu2zggXs9XOOTJiWOwxrMrj2MIFtqlyNh5QqOo6jIciDsv41m4+l8sRy/QEDC77fnxTrGpCTRlxnjcrIWzelkdA7gmrBq0GpqWdcWn7I4GMdOgDL7+cM/b6S4XHZLh+Rkuw3IaFARtMuMw0ck3nW3xPETwK8eFbjlFRLveZ/EG++UCPUAjz4sMKlM4AMf5q7Nq24XyjlTXLKUlAhMniTw9H+BD31MorFRYsVygcd+wRqht75DUvjmtdzdfu8HJH70EwOdnSqadoWQbzpgliOWN9yTNU2bDGARgO1ne+PuEL/0k5NFPwctcWf2bOzcnRhpsPqUxadnaRq/6FcPYiDGIyVTkqzi93jCPYk1TU6nbWhbtmEoxHT3s0Wbq2q4S91f7RDg98pgCozRqBgyFS+tX1+xkTBtSmINTTweN6OR06cPfE+3m+mIVpPiQNA2/IaKUublMhIC0BmJN1wBqhJ63DxGIQTS/LZBWGc2zm5tHViHAlD5Ml75czgHLRZjT7jjJ2IJzqkQFJroj5QSTz87uGOTnT0wkpGRznpFxzDGeF4eI7TxTJ0KXLU88Xl0TvuPJ1HNbjRnfPMWSs/3JxZjD7hwWCI7e2AU0SIUkujqGmiAe71UaRyKWTPpYMf3KYvHiqwNdcVMm0qHLCtbQBrcOJls1lcO1QduMMqn06m2SEvDoGnBAnZz69GkWwOsv/T5RqbIeCFpb5PYd8Bu2G5RVEQhFYApnoUFvHatzSGr7UY8+Xmsbxsp0UGixgBGt4ODxHVYeZpRydGiImiXEaGQxJe+InHnmwVe+2rg8GGJr36DofBPfxJYvQp46GcSzzxHmfLhwswKxaXETTfyi//d75P42leARQsFvvk1YOMm4If3SczUKH29YSPQ3AS88U6Jt97JvkyjKVRXTDw0TXsOwGDi9l8c5fukAvgrgI/ruj5Aa8zhcMDvt7ejp02L4PDhGJwOgbQ0N/z+c9vvvOE6idRUu44oLS2CslInSkrs95s710BnZwR5eZ5h022klEjyRZCa6oTfn2hl5+QaqK01UFZqf+1nZgKBQBQpKQJ+vxM+n8TSJQbS0obfLk/y9cKQQFu7AyUliWZEdnYMWZmOBBXV2bNiyM0V8PsdcDqdCfN4rixYMPTfbrpR4qgeRUWFgalTnfD7Ocak5Aja22MoKXZgzmwPpJQoKgxj9iwXioudSEsTOHS4F6kproTzmZYWRWoq5+hVrxz8M/1+W0b/huvtxwsLDUyfGoEvCfD5PAOiXF1dBnw+YUqeR+D3uwekk1qkpEgsXypx8JABhyMF+fk8TwUFUTQ2GfD77WKhJB89uFg0hp4eB/z+wXNIs7IicAjA73ebxwrU1RlI8kWRluZOcKqLi6KoqIghEHTgmnVuTJlsIBSKISPDndASYCis9dnR6URqqkBycqzvc8/Gtdewdis+ogJQSbCtLQKXy4XtL0dQU2MgN0cgNdWTcA4dDoloNIL0dDdcLtG3DpOTo+b7Dm4OezwS9fU9iEY9A64pAFi8SEKbIVFdYyDJx3OQnRVBaZkLfr/AgvmMnp6piiAalUhO5nrMzIigqMiFpCSBtauNYe8ft94sB6yb6moDXd1G37hzsiPojQA3XMf5XLI4hpISx5CbIkNx8lQMNTUxzJ83vMxgV5cBh8MYk2s5niRfLwIuA0k+B9LSXEPOi/Wxu/dEkeQzzMcGH3NmJtAdiiHJFxvyeUlJvZgy2QGXSww4zzO1GDIzxKju8T6fhC8pguRkiVmz3EhJZo3f0iUxOJ0jey/loF0GnDkj8dJ24I1vEPjDbxhS/9wX+NhdbwV+9AOqJf3z3xL79kv8/GeJxccKxaWOyyXwkQ8JaJrEPfdK/PLnTA+5eh1VoB55VOL/vgLceCPwgfcJ/PvfEhs3S0gp8Lb/sVtQKC49dF2/Yai/aZrWoGlaoa7rdZqmFQJoHOJ5btA5+52u608M9hzDMBCIk+HzuCUy0pmZ0NMTRiBwbuunvp4pgTM1vt6I8T3j36+3l+mUgUD4rA5aqAfo7sKA8QQClDa3Hu/tldj2EtPckpP5eCwmEe4Z+Nr+zJktUVfP66f/c09VSnjcSKivsOpoAgHA7/cnzOOFIhKR8Hik2b+OYwmFJCJRCf0YMGtmD7KzBQIBA3X1YZSUONi3qEci2G/+8vMkXK6zz8tguFxAfr6ENCS6u8OIRBLfY+tLEnNns/4r1AMEgz2IxQb/nEhEovI0IKUPPaGevvHMKOe/QMAuoAn1cMs/J1uiqAgIBAbPB505QyIaRULKZHe3tQZ7Egz88ukShQVMJwsEetDVTWn3+NeejVCPRGMjjeae8OheCwwu575mNQCEsXiRAZeLUehAsDdhE9o6phMnelBcLPrWYXs768OGSr9l3aDEyVO9yMgY3Kh2OuPnLIzFiwaO1eFglK+7m+tx6RKY887I6tkuif4pcrGYRF2dnbKfkSERCtnzmZXJlhijJT1NYtnSxLU0GMEuCcPwjfm1HOqRCPdIhHoEurvPfs0FApz3SWXDjzk/z071Hfx57EEZjQ60j0tLrNeN5kiASMSAlEAw0IPWFtb8WUq21ntlxiu99EOlOF7CRKMSvb0SHi8Lcs+ckfjmdyTe90H2Kfn5Q8Dd73Zg5y6gqlri1puBB+5Tzpni8uWmG5je6PEIPPYbiepqiZQUgY9/1IFfPCLQ0QG88S2MIn/sI8Bb3gQ0NEq89wOU5FVcdvwTwNvNn98O4B/9n6BpmgDwKIAjuq7fO9I3FoK1Xh6PGDYl7GwcPMx0HYtgF5sLD/6Zw9+7+/4+xNPiRR+EYJuA+DSrWIz1U2cjM5Npbv1l8wHKno8kmnKhmVEusG6tI0EoIjWFhm5Pjz0XRUVMQxuO5ORzLwWoqZXYsk0iO5ttFfpzzbqRpzg6HLbyXnwKVXU1N1/jKS2hY3ymyk7PHIyUFKs/U9znOAcfy4sbmQZricA0NbH58mgR5nuPhSUSi1FSvadHIjXVgVUrHQOiTUCcyEe/PyUlnf38FxbajZrPBcOQSElh6uFY7QP6/ZTCtzhzZvD2FqPFMOy+cBeDND9QYjpEKUO0FonHSt+dUT78xDqdYtBaSYtQCDh1avgecqPF56XoSFU1cEQf/euVg3aJUlkZwwc/IvGXJ3hBnTol8e73yr6+J3e/S2DyZIEf/tjAt74j0dTEKINK51Jc7rhcAobBzYt3vVfij49LRKMSZWUC3/q6A9//DiWPP/4p4NOfk3jibxIf+wiNp2eeldiyNaIUHy8fvgPgRk3TjgO40fwdmqYVaZr2lPmc1QDeBuA6TdP2mv9uPdsbC8Ev9N5eeV4F9NddYzebBSg4UTyMQT0SBjMCnQ7WXfV/zpTJtoPo8Yy8fq6zE319fuJxu4euNRtP9u2XeGl74nU8b66pmjmD6m4Aj/lCpvvn5gAL5gFp6YP/XT9m92U7G06nwJLFAtOmOROEOrKyBq6ZmZrA7FkCRYVM/x4NQ63ntau5ofDCi/x91szBm2MPR0kxlSWBsXFWrFu1FWF6dr1Ea+vA+7fHw9rE/kszGqWA2nDox3itnyuGQVEdh3P0/bSGorUNOBHnSE2fzn/nS20dJf0vFlat3ZpVrIk7G2PVHirND8ycafedGwuWLmF2Qvn0gSqYI0GlOF5iGIbEX/4KPPqrIG67hTtnb38nsHwF8IXPA9de40BvL0PdH/iwREYGxULiDQCF4nLH4RC4+90Ca1dLfPceiTNVwGc/xWtg3lyBH3xP4PgJiV88JvHnvzKKduy4hNcLfOWrIRQUSNz9bmDxInXdXMrout4C4PpBHq8FcKv582acw2a+pdBlGIOr2I2UY8fp5C2YzyHES/mfK4O9Qyxm120AdkQhNRXn5KCUlU3sayM3d2DPK6dTICUFOHCQaYWFhQKLFw4uLjBWeDwCLjfVIoeCfbD480iclhnlzoTUr+RkMWQj85kzR5+alZJMZcn+EVufT+D6a22nqLubjvpoNhQMgyIhPT22RPr5MJhkf2rKQENbCEZ2+4uICMFUy6FwOOhkn0+U3Bqj2233xztf3K5EQYuzNYoeKaPtSTjWtHdwXUWjwNSpEmn+4Y9rSFGPUeJ0Am4X+7GNFW43a0s7OtgwW5sxuterCNolxJkqiY9+QuJv/5RYt8aFf/2bi/PXv2Sfh54w+6xUVzNt4e53s1eUcs4UVyozZwo88pDAe94pEI1K/OZ3Ep0BWhfl0wW+/XUHfv9rgYwM4L6fAL/7PXDnWzxYthT4ytckPvoJA/sPqGiaYiBFhfbP5xNBa+8YXkVutKSmDG4EutyJjptlNO7azTq4y42iQlstL56CfIFrr0GfQzNa9chzYcE8u3dbf+bOEYOm5I0Vz78welU+h8PujdefzgANaIDpk4ePDv68oWhutq+XsThqax3HX4MzZw6MisZijGJl95NbnzqFkbWhcLsFbnkFMOk8NiSsMQYDg7ceOBcyM6kAOta0tbNf7sUiGKTz3tQ8eB++/gy38TEaMjKAru6xea/+tHdQOXa0KAftEuH5F5nCGIkw71sIgUd+BlRXc0Ffdw07v9/1Tonf/YEX19o1IqGfh0JxJeJysSFkVxdwVJd4y/+wuXU0yuukoEDg4x9x4NmngffdLfDnv/Ti17+h0ZyWRsGdX/zq8jNgFecHG64ObFQ9WhbMG9jY+XxYedXgDWQFEhsLC8EG2PPmAnnDNh+4NKmuZm3SYMyeKcYs1WwkZGRcPNVkv//szZQHw+qN1p/6ejpZAFNj4+snR0JvhK0CrAj0+eJwCCxdnNgDbrC0N+uz+gtnBIMc03DsPyBGnSbaf4wAsHjx0K0hRosQF8a+6+4eut3EeFBWakf6RzKOnJyR1aqdjaamsXOe+1M+XWDd2nMQGLoAY1GMEVJKvLgBmKlJ7Dd7KOTkAHe/CzCkG5MnxfCJj0pMmSLx9W9KbH0J+ND7BW47a/WEQnHlkZ4u8M2vCezZK/GTByQ6OwXe9Q777263A1evA7QZyegOBbFzNxu7h0LAocMSzz4n8fJO4KMfEgOknhVXHidPSfRG6Jydj4N25ChFCOIjcv3xp7IR8Uh4dr3EooVATr/IUN4g4lBeL/u5uVxjWxw/ESguHtrx3LiZjvHl6Jj2JzOTRu9ocLkE1qwa/G+z4lJwQz12377RIhxj1/w4M9Me04rlQNIg/eYsBy0QTEz1Ha7ZuUV5+dmfczYcgg5A+hilOF4oiotEn+rqxeD0GZ4jYGQOvDZjbL6LQz2JabJjwWjSlgdDOWgTlM5O9vz4ze9YP7N8GfCtrwGLFgmcqgReeDGK2bMkWtuA8nIHrr9O4mMfubC59ArF5cCihQI//xnVlTo6JD71WYk3vl7g+utYo1Je7kQg4IDbLVFZKfG2O4F//wf4ze+Y0tPZKaGVSyxZAiyYr5IQrlRKigFdByDOrq44HLNmDt7YOR4hRJ+y2dmYMX3kRuDaNQI7d0mUlo7dzv5EQQgxpNO5bs3l55AORVsbRQouBOeqsO71MvI2loIMFpFeu1FzPIxiDQwlZmScfS34vOe/XtatBV7cQEn9MW4dNqbU1lGOfqRiQWNNYxOdZqv9x3hRUjx2CptjhbIuJhCGIbF5i8Td7zfwtndKvOEt7F/ykx8B3/q6Aw89AhzVKZ+bl+fAm98q8eR/JKSUWLVSKOdMoRghDodAUhLTnN70Rkry3/VOiQ0b7S/w0hKBz37KgcJCB6qr+Lw//EZg8SLgmfXAhz4KvPLVBh76mYG6OpUCeSXicgvccN353XeTk8WY9uDLzx95ZKK5hX2srrRvDq93+Dkfi5Sp0eJyCcyZjTFXWi4toZDHheBcBC8KCxjhEuLCqErv3ju04mJ62sB6s97es0fRDh5mZOd8cLuZau8bJLo3kfB4hm/LYJHmx6BtI8YCf6rAsiVjH9EajpoaoHHQLpnnzvne1lUEbQIQCEg89zzwxz9JtHfwZrFsKfD+uwUOHgb+8leJ//si8NADlAJ//4cMeDwRfO0rQqnMKRTngdMpcOP1lDp/cYOtTvb0MxLLl9rNdv/viwJSAh0dwN/+Djz2C4HaOomf3A/84U/A7/8kUVwkceMNAmvXANOnnV9URTHxqa4GMtIHqsJdbDZtARYtYDr82WhtZWrPlRJNGgkXK3IAUNhkrJkyWQwp+HG+TJ4kMKlsdJtTsdjYKRkOxVAbFFIOXOuZmcDihcO/3yxtbNIxW9vo/Bfkn/25F4vMjJFFNpOSBG643j3qRuMjISlJYuNmgbWrMW4ObXo6VTYnEhPsq+XKQUoJIQR+/0cDP/8FQ7mBAHDdtcDttwH/9xWgrIy7oSuWAb/6tURtncQXPifw7W8IlJamIHihKhoViisMp5MpjgAbwG/eInHPvcC6NRK33CywbCkNp+xsiW9/kzu/+/YBS5YAX/4S8Ic/Sfz1b8Azz7I3YUoKsOoqiYULBBYuSKyRUFwmCEsefQKe2xEOaUa5QFW1nPC7+opz59TpsesVNRijXf+NTZTZv1BO2soVQ6cMd3cPJrMvBig79icaG7uNmLGShb9QVFWzUfWNA5qTjA/XrON63bh5fFMOJ2KwQzlo40hzM/uSHTsu8b17gFtvAf7wR37Jv+YOFou/5U0CM8oFnnicu1IPPizx3/8CS5dIvPlNXECZmWObEqNQKGxcLoFvfNWB2jqJ/zwt8fR/JZYtFTh4SCItjTvSAHDVVUB3FxXa6hskfvQD9jyaOoUS/aEQHbf/93WgtFRi4QJKas+Yzs2Xi6XqphgbYrFzF0i40Ix0ZVVVs9ZZRdAuX1aumHhOQUvr+TdjH4rhmhtHY2wTMNrappYWpkemD9FsfDSMxXtcSLKzAPfMi/f5bjezVdL8Y5+dMG0aRb8uFZSDdoGIxSTOVEm89BJQXQO8vJN9EN7zLuC59cDJU8BL2yVe9UqqDs2fx2TbcFjimWcl/H7KJRcXAY8+ApSVKmNOoRhPigoF3v1O+7rbtRv47e8kSkslVq8CXvtqgYJ8/v22W+iYdXQAd79f4i1vAhYsACIR4I9/YspjQyPwn6cl7jsB9ITYhHPqVKpmWSp+1s5yUtIEjcwo+vB6WE8zERmNAZqRbsuAKy4/kpPVuY0nehZJ/cGYPevsc5iZQVtvOC5m+uxI8fvFRRcxEUJgxfKxf99LzY5WDtoYoesGKk8Dr7jJgY983MDhI8xnDYWAObPNomMJbH+ZkbNrrgYK8u0KyKYmid/+XuK/zwLFRcA77uJCesubLq0FpVBcrrz9bQJveB2wYxewZauElFS8+tVjEvPnCzS3AIUFEv/7OUbB//KExO69EhnpwAMPAbk5wCtuEvjMJyU8HoFjJ1jMXlsnsWcvUFvHmqCeHt470vwS/jTWA3g8fMztYsNhtwtISwc+/IGL11/pSicao9M9d87FHkkiozECS0sESkeoDqlQjAUpyUBW5sX7fNcFqjMqKBAomKAbNoqLg1W3eK6RQOWgjZCaGomaWqDytMSRI4DDyZTEhnrgqX8J/PFxSnADEg4HU5hqayinmpsLLF0ssGolkG32pjEMif0HJF54UeLON9tfqPf9kMadQqGYeCQnC1y9FrjabDrZ3CxRVCTw/AsS990PrFkFfPlLAi9tlyjIl3jvu4BJkwQ8btb5nDwp8YtfAZMnS3zu08D8eQKpKSIhghEOSwQCVF7r6GRtaiTKnd/4/z2e8VW5UiTS23tha3sUisuRwkKMa5PweJKTKJmvUIwHDoc4r1q+K95Bk5LGUE2tRGOTgK5LJCcDb3y9wOe+IFFcBLzqlcB7PwBkZzOtpa0dmFTGXh5Z2cBrXi/RGeDfn3paYkY5UF4uoJXTUbNSlUIh1pX97g8Sf/iThMtlFkRKID9P4BMfU46ZQnEpkZMj8I67AEAgFpOwdHtOngJeeBGoOAl43BL33iMwfRrwyKMS69YymlZxCvj0ZyU8HuBrX5XYvh1YtlQgNVXC5xWYOlXdDyYyqm5LoRg9Vg3vxWD+vLP3HFQoJgqXrYNWUyvxyKMSUgbR1WUgFuOus64D06YCwS7gjNnXwjCoFuN0SsRilGJ96GE6U/vcwMZNbOKZm0tJ1swMCgNkZLAGobCQ/1s9PaJRRtE6O4HHfsP0x6M6i2Lv/zH7KC1bSoNN5f4rFJcHTqfoKwC/880Cd76ZTlttHR2yiFn7YBjAocPAiQrgH08Av/4t8MlP8x70uz9IRKNARoZEml+iuYV1adOmAeFe4N3vAP71JHDwIPB/XwDSMwQ2bARe9xqBM2ckqmuAVSvVPWU8yMoE6pSxp1BcMvj96t6ouHS45B20r33DQHUNdzMjEfYPa2wCtm6lpGokGoOU7HOUkwOcPk1DKDeHtV5r1gD6UaA3wrC7zwvcdAPrO7ZspaKMy8lUxRXLaQQdOgKEw0BvmLsxkycJ/OwRAwcOSjQ3A3X1wKMPC+TmAA0NEiuWC9z1NjqGADBrprpJKBRXAk5nYo3Phz4w8Np/650SN7+CipDdIUbcesIC65+XOH6CvXOSfMDqlcBnPw9cvY71aD99CEhLk6hvYLpde7tEfT1FRubOoXy61wPk5QmcqYqhvV1CCCr8CQFA8P/iIt47OzuB3FyBri6Z0DfJGrEQvEcmJan7F0BBmO5LSBFMoVAoFJcOF8VBO1XJSJVhAEYMiBn82emkWk5Do0RHB3u07NwlUXGSYhvdIYn2NhosrW3AFz8vcO21wJe+DHzlS1TQOXkSyMsDVq+iU5Wd7UFWVi9ecaMDBw9R5j4aZZRr8SKBpUsEOjskamqZntTRDiQlCwgBbN4iEY1yRzs7iw7aqdPA8y/Q8PF6adAAwJzZAuXl3O0uKWakTQiBz31GGTMKhWJovF6qtdrwnrFo4cB7x8KFEjnZ3Hxa/wKdqqwsiYqTvH+Fw8DWbRJz5wg886xETo7AHa8EvvaNECoqJAwJQDJLQIL//+3PAvox4IEHJR5+UODfTwEP/9xuPivtH/HJjwncftsFmQaFQqFQKBQmQsZ/+56Ftra20bWMH4JXv96AlIDTQafMYf6fmwv8+F4HXnhR4thxiffd7cATf5c4dFgiKYkFnhkZoi/NcO4cNoSNxYbuKeT3+xEIBMZi2BMKdVyXDpfjMQHquC4lJuoxZV5CHbyj0aiMn8OmJonK0+hrYq4YGRN1LV5KqDk8f9Qcnj9qDs+f4b4DL0oE7e9/GV567NprBK69hmN+7asFXvvq4b8Ax7qZnUKhUCgUw+FyKaEQhUKhUFwYlGujUCgUCsUoycxkNodCoVAoFGON6qKjUCgUCoVCoVAoFBME5aApFAqFQqFQKBQKxQRBOWgKhUKhUCgUCoVCMUEYlYqjQqFQKBQKhUKhUCguHCqCplAoFAqFQqFQKBQTBOWgKRQKhUKhUCgUCsUEQTloCoVCoVAoFAqFQjFBuOz6oGmalgXgTwAmA6gE8EZd19v6PccHYCMALzgHf9F1/SvjO9LRMcLjKgXwawAFAAwAD+u6/uPxHenoGMlxmc/7BYDbATTquj53PMc4UjRNuxnAjwE4Afxc1/Xv9Pu7MP9+K4BuAO/QdX33uA90lIzguGYC+CWAxQC+qOv6PeM/ytExgmP6HwCfM38NAviAruv7xneUo2cEx3UHgK+D94cogI/rur553Ad6iXG2eVWQob6DhrvPa5r2vwDeDSAG4KO6rv/3Igx9wqFpmhPATgA1uq7fruZwdGialgHg5wDmApAA3gVAh5rDEaNp2icAvAecvwMA3gkgGWoOx4XLMYL2eQDrdV0vB7De/L0/YQDX6bq+AMBCADdrmnbV+A3xnBjJcUUBfErX9VkArgLwIU3TZo/jGM+FkRwXAPwKwM3jNajRYn6ZPgDgFgCzAbxlkLm/BUC5+e+9AB4c10GeAyM8rlYAHwUw4R0zYMTHdArA1bquzwcdmofHd5SjZ4THtR7AAl3XF4IGy8/HdZCXICOcVwUZ6jto0Pu8+bc3A5gD3t9/as63AvgYgCNxv6s5HB0/BvC0ruszASwA51LN4QjRNK0Y/F5fam6KO8E5UnM4TlyODtodAB4zf34MwKv7P0HXdanretD81W3+m+hyliM5rjorIqPregC8IRWP1wDPkbMeFwDour4RdAQmKssBnNB1/aSu670A/ggeWzx3APi1uf5eApChaVrheA90lJz1uHRdb9R1fQeAyMUY4DkwkmPaGhfJfQlAyTiP8VwYyXEFdV237nUpmPj3vYnASK5tBYb9DhrqPn8HgD/quh7Wdf0UgBPgfF/RaJpWAuA2JG6gqDkcIZqmpQFYB+BRANB1vVfX9XaoORwtLgBJmqa5wMhZLdQcjhuXo4OWr+t6HcAvCwB5gz1J0zSnpml7ATQCeFbX9e3jN8RzYkTHZaFp2mQAiwBcVsc1gSkGUBX3ezUGOscjec5E41Ic89kY7TG9G8B/LuiIxoYRHZemaa/RNO0ogCfBKJpieC7Ha+CC0+87aKj7vJrbwfkRgM+CaaIWag5HzlQATQB+qWnaHk3Tfq5pWgrUHI4YXddrwKyYMwDqAHTouv4M1ByOG5dkDZqmac+BOe79+eJI30PX9RiAhWae8t80TZur6/rBMRriOTEWx2W+TyqAv4L1JZ1jMbbzYayOa4IjBnmsf3RiJM+ZaFyKYz4bIz4mTdOuBR20NRd0RGPDiI5L1/W/gfe8dWD65g0XemCXOJfjNXBB6f8dpGnaUE9Vc9sPTdOsWutdmqZdM4KXqDkciAusif6IruvbNU37MYYunwDUHA5A07RMMCo2BUA7gD9rmvbWYV6i5nCMuSQdNF3XhzQoNE1r0DStUNf1OjN9rPEs79WuadqLYM7sRXXQxuK4NE1zg1+Mv9N1/YkLNNRRMZbnawJTDaA07vcSMB1gtM+ZaFyKYz4bIzomTdPmgylGt+i63jJOYzsfRnWudF3fqGnaNE3TcnRdb77go7t0uRyvgQvGEN9BQ93n1dwOZDWAV2madisAH4A0TdN+CzWHo6EaQHVcZtRfQAdNzeHIuQHAKV3XmwBA07QnAKyCmsNx43JMcfwngLebP78dwD/6P0HTtFwzcgZN05LAhXh0vAZ4jozkuASYc31E1/V7x3Fs58NZj+sSYQeAck3Tpmia5gGLZf/Z7zn/BHCXpmnCFKXpsFIFJjAjOa5LjbMek6ZpZQCeAPA2XdePXYQxngsjOa7p5n0CmqYtBuABcCk4nxeTy/EauCAM8x001H3+nwDerGmaV9O0KaCA0svjNd6JiK7r/6vreomu65PBtfa8rutvhZrDEaPrej2AKs0O3V4P4DDUHI6GMwCu0jQt2byurwdrStUcjhNCyssrAqlpWjaAxwGUgQvsDbqut2qaVgTKI99q7ow/BqrSOAA8ruv61y7aoEfACI9rDYBNoByqlbv+BV3Xn7oogx4BIzku83l/AHANgBwADQC+ouv6oxdn1INj7nj+CFxXv9B1/Zuapr0fAHRdf8i8yd0PRmu7AbxT1/WdF2u8I2UEx1UAykGngesuCGD2REivHYoRHNPPAbwOwGnzJVFd15delMGOghEc1+cA3AUKuoQAfEZXMvtnZbB5vbgjmpgM9R0E1qENuM+br/kiWAtptX24FOo9xwUzxfHTOmX2B/2uNJ+n5rAfmqYtBDMgPABOghLxDqg5HDGapn0VwJvAOdkDSu6nQs3huHDZOWgKhUKhUCgUCoVCcalyOaY4KhQKhUKhUCgUCsUliXLQFAqFQqFQKBQKhWKCoBw0hUKhUCgUCoVCoZggKAdNoVAoFAqFQqFQKCYIykFTKBQKhUKhUCgUigmCctAUCoVCoVAoFAqFYoKgHDSFQqFQKBQKhUKhmCAoB02hOEc0TZOapuVc7HEoFAqFQjHeqO9AheLC4brYA1AoLmc0TXscwE0ACnRd77nY41EoFAqFYrxQ34EKxbmhImgKxQVC0zQ/gNsBGABuu8jDUSgUCoVi3FDfgQrFuaMcNIXi/HiLpmk1mqZVa5r29n5/ew2AUwAeAnDn+A9NoVAoFIoLivoOVCguAMpBUyjOj+sAzAC/iO7TNG1a3N/uBPC4+e82TdPSL8L4FAqFQqG4UKjvQIXiAqAcNIXi/Pi2rutduq7vAPBPAK8GAE3T8gBcD+BxXdf3AjgN4LUXa5AKhUKhUFwA1HegQnEBUA6aQnF+VPf7udD8+U0Ajuq6fsT8/c8A/mc8B6ZQKBQKxQVGfQcqFBcApeKoUJwfJQBq437eZ/58J4DpmqbVm797AaRpmlag63o9FAqFQqG49FHfgQrFBUBIKS/2GBSKSxJN0ySAJwDcBWAmgPUAlgKIAThh/lwX95J/Afidrus/Gt+RKhQKhUIxtqjvQIXiwqEiaArF+fECgOMAJIBP6Lp+QtO0LwJYr+v6nvgnapr2CID3APjRuI9SoVAoFIqxR30HKhQXABVBUygUCoVCoVAoFIoJghIJUSgUCoVCoVAoFIoJgnLQFAqFQqFQKBQKhWKCoBw0hUKhUCgUCoVCoZggKAdNoVAoFAqFQqFQKCYISsVRoVAoFJc8mqbdDODHAJwAfq7r+nf6/V2Yf78VQDeAd+i6vnskr1UoFAqFYjwZlYPW1tY2rORjcnIyuru7z29EVyBq3s4NNW/nhpq30aPm7Nw427xlZmaKsfgcTdOcAB4AcCOAagA7NE37p67rh+OedguAcvPfCgAPAlgxwtciHA5LtQbOH3UtnT9qDs8fNYfnj5rD82e478AxTXF0Op1j+XZXDGrezg01b+eGmrfRo+bs3BjHeVsO4ISu6yd1Xe8F8EcAd/R7zh0Afq3rutR1/SUAGZqmFY7wtWoNjBFqHs8fNYfnj5rD80fN4YVFpTgqFAqF4lKnGEBV3O/VYJTsbM8pHuFr4XA44Pf7x2SwVzJOp1PN43mi5vD8UXN4/qg5vLAoB02hUCgUlzqDpYn0T8kf6jkjeS0Mw0AgEDiHoSni8fv9ah7PEzWH54+aw/NHzeH5k5mZOeTflIOmuCyJRiVcLoGDhyQOHQbe9AaB3/9RYsdOidwcYMYMgQXzgenTACHGpAxGoVBcPKoBlMb9XgKgdoTP8YzgtQqF4gJy9KhEWjpQVKi+jxUKQDloisuMM1USf/u7xHPPA3/+A5CaCuTk8G9XLQdycgQaGoA9eyV++SsgJRV4xY0Sb36jQEqK+mJQKC5RdgAo1zRtCoAaAG8GcGe/5/wTwIc1TfsjmMLYoet6naZpTSN4rUKhuIBU1QDJrUBR4cUeiUIxMVAOmuKyoKFR4uGfS2zcCNxwA3Dv9wR8PoHJk4DJk/icqVMFpk61XiEQjUrs2Qv891kJpxNoamJWU26uctQUiksJXdejmqZ9GMB/Qan8X+i6fkjTtPebf38IwFOgxP4JUGb/ncO99iIchkKhUCgUAJSDprjEiUYl/vAn4Ne/lbjheuCPvxPIzh6Zg+VyCSxbCixbyuc/85zEmTMSH/6ggJRSpT4qFJcQuq4/BTph8Y89FPezBPChkb5WoVCML8P2cVIorjCUg6a4pKmvB7ZslfjpTwTKp5+fQ/Wq2wWkBNraJT71WYkPvg9YukQ5aQqFQqFQKBSK8UM5aIpLkh07JaprwnjNHQIP3j92Qh9CCGSkS7zhtQJf/qrEmtWMqKX5laOmUCgUCoVCobjwjGmjaoViPJBSIj8PmDyJy3esUxGFELjlZoHf/kqgpwd4610SW7aq5AuFQqFQXHmEQhKxmPoOVCjGE+WgKS4ZpJT46UMGfvt7oKxMYN1a9wX9vKwsga99xYFPfVLgm9+ReOBBA1KqLymFQqFQXDls3grUN1zsUSgUVxYqxVFxSWAYEt+9R+LgQeDee8b3s69eK6DNAHbuZHQtEpFwu1XKo0KhUCguf+bOBjIyLvYoFIorCxVBU0x4pJS454cSR48CD9wnkJ83/s5RQb7A7bcJdAYk7nybRGeniqQpFAqF4vLH4wFcajtfoRhX1CWnmNBIKfGTByT27gXu/7FARsZA56ylReKoDtTUAM2tFPjIyACefQ4oLmYftPT0sXHq0vwCP7oXSEsTOHhIYkY54PGoaJpCoVAoLk927wVmaUBJycUeiUJx5aAcNMWE5o+PAxs3AT/9iUBWlu0IdXRIVFfHUFICfPf7Em3t/PLIyebfg13A8y9K1NQCtbXA8mUS3/+OA50BiZRkwOk8d6equIh90n79G4nOAPDNr2HEvdcUCoVCobiUWLYESEq62KNQKK4slIOmmNAsWgBctUIgz0xr7OyU+NWvJf71b+DVd/TiQx8AvvMtAYdjoIN0z3f5WFeXRF09H/vFryTWPw+sWyNx4w0C8+dh0NeeDSEEvvUN4Mf3S7znfRLf/gYwc6Zy0hSKKx0pJUIhIDlZ3Q8UlweBoHLQFIrxRtWgKSYkR45K/PUJiZkzBaZMZsSqocHA/7yd6Ywf/ABww/VuHNUlGpswrARwSorA9Gk0lj72YYHvfVsgJQX46tcljhwFenslKk+PvqbM5RL41McdePtdAh/9pMT651VdmkJxpXPyFHD8xMUehWKsiUYlenquzHv8UR1oGA8VxytzehWKQVERNMWExO0GIlGJ3/8R2LpN4vARIBYFsrOBcBh46mng7/8MoSso0doGSAkUFEiUFgNlZZThn1TGnzPS7V5pQgjMmgnMminwvrslHA7gqC7x0U8A+XkS8+cBpaVAKCTQ3CLR3Aw0NwMdnYDDAbhdgN8PpKcDk8qA8ukCK5YBk8oEvvB/Eh2dwGtfrXbOFYorlWlT1fV/OdLQALS0AvPnXeyRjD/r1gBO58UehUJxZaEcNMWEorvbwAMPAoePAtVVwPTpEhUngXVrgS9+HnC77aCv3+9HIBCAlBLNzRK1dQKHDkucqaJT9+gvgbZWICUVgJTIzweysoBDh+iEdXezt4th0PmrqweamoHMDGDJEgmXC1i7BsjLFUhP4+Zeby8QDAJt7UBlpcST/5H47j1Abi7z9OvrJaQc++bZCoXi0qCpSeL4CWDVyrG5BxiGPKc0bMXYEjO4EXglcuw4MG3qOCg5jsMyj0QkmpoBzX/hP0uhOB+Ug6aYEESjEv/8N/Dgz4BYDPjExxi5evwvwP9+VuDaa5jmuGOnxMIFQEcH8P17u/GZTwKbtwB//itw3w8FKk4ChQXA5z8j8OR/JAoLJLKzBF7YIJGby3qzGdMlZs5iNKy2Drj2GoGmJonDRwRe9xqBBx4y4HQC27YBL7wA3HKzxKvvECgq7P/twd/DYYmDh4BtL0k8/V/ghRclSkokvvKlwVUnFQrF5UtLCzeCxor1LwDTpkpMnaLuJRcTaVzsEVw86huAND8wadIF/qBxcIAbGoAjOqDNuPCfpVCcD0KOYkuora1t2CdbEQ3F6LiS501KiY2bgAcf5tJqbga+/x1g4QLK2OfmCPzxzxLr1ggsXiTwwY8Y+OqXWUO2ZZsPN1zXg95eRrb8/rExYCIRiXAYSE4GPvxxCa8HaG8H7n43MHUKkJUlhpTWj0Ylnnxa4h//AKqqgNtuBe58sy1yMhG4ktfbuaLm7Nw427xlZmZOnAvjLESjUXkx1sCz6yW0cqZtXw5cqtdS5WmJ9nZ+N11sLtU5HI5n10sk+YA1qy/s/La0MMJ94w1pl90cjjeX4zocb4b7DlQRNMVF40yVxD33Ugr/rv8BfvkYcMN1wOe/CLzqNomuEPDZTwlcezVQXMTX/PQndorja1/tQSAQhtcLeL1jNy63W8DtNj/vPl47tfUGvn8PUFYKPPOcxM03Sdz1VoH+15bLJXDH7QJ33A7852kDf3wc+PeTEq9/HZ+vlN0UisubmlrWzN5w3dikOnvcrL2d6BgGHZj4diiXE8YVnOK4YaPEgvm4LDJCurqpSqkYX44flyguVuq2o0GpOCrGnUhE4pePSbz7vRJzZgO//7XArt2AEBT/+MZXgbveJvCxD/NCXjBfICfn4l7URQUO/PAeBz7+UTqMO3YCb36rRGvr0N/YixcLdHcDr7gJOFEBvOWtEv/5r8RootYKheLSIhwG5s0duzrU5GSgvWNM3uqCYhiAfgyX7f1NyivXQUtKomNzOaDKOS8OvREgGk18bOMmiWDwCr2oRoCKoCnGldOnJb76TQm3C/jZAwJTpwr84IcGtu8Ali8F7nwLMGvmxN03EELgs58WiEYpzf/FL0vcfquEyyVw042JRll+nsB9PwQ++BGJO98i8LrXAD+8T+K59cDnPo0JlfaoUFyqaJqWBeBPACYDqATwRl3X2/o9pxTArwEUADAAPKzr+o/Nv/0/AHcDaDKf/gVd15861/FMnSIQCnEjZiyctORkIBI577cZFywhjctRI+lKdc4AYPmyy+eEutxAVubFHsWVR1YmN3HiKZ8O+HwXZzznQyTCbIHc3At7XUxcS1hxWSGlxN//KXH3B1hP9sB9AllZEr/+LZtIf+C9wNe/6pjQzlk8LpfA1CkC734n68seeljifR+UOFWZ+C1eWCjw/e8KPPpLiUgEeOxRgZJi4K53Sfz3mSv4G1+hGDs+D2C9ruvlANabv/cnCuBTuq7PAnAVgA9pmjY77u8/1HV9ofnvnJ0zgLVKm7eOjVPV3S1RWwcYsfN/r/EgM+PydM6AiScSMp6RymfXSzQ1nf3zqqol2tsn9vdaIAC0tp39eeeDfkxi+8sTex7Gm4OHgeaWgY91X4KR2ZZWYO/+C/85l4Y1rLik6emR+No3JX73e4l7vy/wjrsEqqokXv164O//kHjf3cCr77j0lqLDIbB0icCypQKvey2QmQl88tMSoVDiN/n0aQJf/38C3/yOxMlTwCc+5sC3vi7w059J/Og+A9GoupErFOfBHQAeM39+DMCr+z9B1/U6Xdd3mz8HABwBUHwhBuN2A6tXYkghoXPBuERuEdHo5dtixJhgKY4vbgAOHxmfAU2dMrJjP6rz30QmJ+fCf8aUycDCBRf+cy41wuGBj12K9YD9I4EXikvPKlZcUtTUSrzvQxKdncCjDwvMmQ2cPGXg698Gbr8VmD4NKMi/9L/Q33qnA9/9lgPf+Brw2f+lQEhb3E7isqUCH/2wwJGj/H3xIoFHfyZw6Ajwqc9KdHRMoG9+heLSIl/X9TqAjhiAvOGerGnaZACLAGyPe/jDmqbt1zTtF5qmnVcCVHGRQCiEc9p4MYzEGlXrx9KS8xnR+CAE0Nh0bsd9NurrJfbuu7j3yMFq0J5bL9HTc3HGFY1RXXg8KC5ir8+zkZQE5A179Q3PeDnAF9riiEapLK0gNTU8sYOd32hUwrhUdqDGGVWDprhgbH9Z4qvfkHjtq4F3vl2gsxN48CGJbdsppZ+TI+ByXfrOWTzaDIH3vkfiX0+ydcB3vyX70jZvu4XHeqJCIi+Px3//j4Dv30sn9kc/uDycVYVirNE07Tmwfqw/Xxzl+6QC+CuAj+u63mk+/CCAr4NdmL4O4AcA3tX/tQ6HA37/2bvb7j8QRXOzxFUrXKNWLFv/fAQZGQJLFvOrWQiJtLQo0tNdcLvH9t4Qicgxfc9IRKJ8egyZmcObFU6nc0TzGM/mLbR2/X7PqF5XV2cgP59iTZGIRGbmue1Jt7QYSEoyYBiA328f3/LlBjIyxJifm7PhdDqR5PMhI8ORMJ4LxeYtvZg314WSkuHnb8F8AynJgN8/+nlO8vXC5xPw+93nOswRUV0dg88XO6d1OFL27osgGJS45ebRrdeLRWdAwukAUlJGt45HOoenKnuR5AOSkhLXa5KvF3v2GABcmDvn0nFH0rsMJPmio74fjZZLZ0YUlxRP/kfiJ/dLfPF/BdauEdiy1cA3vw2sXQs89ADwtW8Cc+cAb/ufiz3SscXlEpg3V2D2LANv+h/gIx8Hvvh5iWuvsW98f/u7xIrlAuvWAl6vwBc/D/z0IYkPfVTixz8ASkqUk6ZQxKPr+g1D/U3TtAZN0wp1Xa/TNK0QQOMQz3ODztnvdF1/Iu69G+Ke8wiAfw/2esMwRtTzJ80vUVwExGICo20R1NEp0dRMx2nKZN4HcnMk9uwFZs0cu/tCS4vE7r3AjdeP3XtGo8yU6OwcPs1xpL2Tnl0vsXolZblDPRIuJxAIDJIjNQzbX5ZYvgzYfwDoDp3b8UajEhs28TxEIgKBgP0esZhEdzfT3ccTv98Pv78H6WlIGM+FYtZMCcM4+2fV1kq4XMC0qaMfU6hHQkogEOg512GOiMxMiYpTQCzmGdMeXgcPUZEwKUlgwXxeA8Ot10iExzsWqdBSShzVgRnlgNM5+vfbtk3C4wGWLhnda0d6Lfv9Eo1NQFdX4hoK9UiEeiSamnrHZR2PFT6fxJLFo78fDUZm5tAJGyrFUTGmSCnxm99JPPiQxL330Dl74u8SX/8W4PcDn/mkwMZNAhUVwOtec7FHe+FwOh14/PcCP/ieQH2DxOYtRl/q0qc/KbBureiT6BdC4IPvF3jlbQIf/rhEXZ0K9ysUo+CfAN5u/vx2AP/o/wRN0wSARwEc0XX93n5/K4z79TUADp7PYLKzBZqacc6pb0LYqUDRqERr69jXPPScv10xAKeTKXexMRQ0ia9ZcZ9DYGXtGiAlBfCMwUb3YOlZO3cBHZ0DHx8PmluAznHoEWx9b2VknP25Z6qApqazP+9iEuxi+mEwKLFl67l/10opE9J56+qBAweZ5tvSwvKO4Th5iu13xoKmJl4r55oiOncOMGPG2IxlMLq6+P9Q97H+465vkDhydOLaQdEocPDQhf8c5aApxgwpJe5/kGqNP/2JQGoKEA5LzJop8dtfCfzhtwKtrcCP75f4wucv/6bNDofAgvncCd+1G/jePRK9vQaEEAiHJd71XonNW20n7R13CdxyM/CJz0i0tU3cm5NCMcH4DoAbNU07DuBG83domlakaZqlyLgawNsAXKdp2l7z363m376nadoBTdP2A7gWwCfOZzAvbZdobh7aUYnF5LB1WpGIrWwWCgFt7Re2KD0cpvrs+daB9PYCaWkY07T1WIxOqtcDLFs68te1tbGWb8MmRvSSkoZ+7qHDEkf1oY/d4QBmzxz8uFYsA9IuTJbcWZk9E8gbQV3YSHh2vcRL2wefAymB3XuBytMje6+J3hLCciAN4/yuq+MngBc2JD7mMC3qmlr2BARY0jCYszZ5EsVXxoKjOtDUDOzeI9HaZox6k7e3F0zwvkBYPfQmTxr4t8GC7VVVQHXNhRvP+dLSOj69KVWKo2JMsJyzzZuBB38icOAQHZJPfwJ4+FHgsUd5IX7n+xKvuJEiGVcKV60Q0GYAH/k4lSv//AcDKSkOfPZTwNe+KfHwg0BZKefjve8WaG+T+PTnJB64D/D5rpx5UijOBV3XWwBcP8jjtQBuNX/ejCG0AXRdf9tYjKOtXeLECWD+PMDrHTrVaNdu7navXTP4+wQC3I2fO8e2mdwuoKuLaUhjXe/U2cmd/Pw89lw7V5xOGqiGIccs5c8w6BitWinR08N5HQk7dwOLFrL3UlIS/w0ltDKpbPjWAA6HQCQq0dsrIWXiEzs6GaEbjIOHJFJTgcmTLsw93OcbWQ+pipNs8TJTG34cQ20oOBwCK1fIEUdnHOe57X/sONd5ejqQmTH2c+fzAWWlQH19DJ2dEucqGeLzAslxjn9WJq8lAFgw337Pzk46rcVFia9vaADCvewFdr6sWQ3s3kPH4fRpthHIyZE4eAhYtPDsx3e8AnAIiYULWHYx1mRn8f+MfuezfLodXUt4fvb5r6PLATUFivNGSokHfyaxaTPw43uBv/xN4oc/lvjq9gAluAAAu7BJREFUl4Ebb3Dgt79itOxfTwK1tcD733vlOR2ZmQIPPUDVyv/7f1QlW7VS4A2vA778//jlDzCS9qlPCKSnA/f8UI5rrxuFQnHutLYCra0SbjeNpGCQ1651bVtkZgL5+UO/T/9L3uelFPWBgxINDYO/ZtTEfUZuroB7DLZqXS6BaHTson03Xs8ek21tEqcqR59SFI3yfut0AiXFQE/P4L3DhABCw5Q9hcMSx0/w/fq//Kg+dJphXT1QWTm6MY+GPftGFtWqODmydLGh0kANQ6K1DUhNPftnpacB2hCpcoYhB1wLg1FVTedl5y72AewMSAQCY/c9GI0CbW3Avv0xVJw89/fp7ZVwuexxtbYxEtXVJaHrRl9Udv68wZ2wzgAj5GPB+heAjg4gNYWbvddfS1G2/n3H4jEMiWfXS0QiEosXchNj4+Zz+3zDkAiFhj5H+fkscdm1O/E5ra2Db7oU5NsO7eYtw2ccXAwsC/ZC22fKQVOcN7/4lcQLG4D7fiiQni7Q1EQhkJ88AJypkvB6BaSU2LRZ4n8/J5CUdOU5aACQmurAvd8XeO97GE2rrzfwjrsEUlKAnz1iX+gul8CXvyiwew/wz0HlChQKxUTk0BHgpz+TiMVk3w7whk008i2CQQwrHhK/c+xy0rA5UyXR1X1hspC6uiQipvOxb7/EyzvO7VO6uyXC4ZGnOO4/IFFdY2D98wM3oqSkrH53t0RzC2t6RjsqwwBe3sn5BhgdtIxSy+ALBiX27QcOHR7+fQBGmPrbY9deDWSkD/3asazH609hQaJx2909uOS/YQCnKs9uTA5V4xeJSBw9KvtS9oZj+rSh/9bSAuwbQXNfipHYsuzbXwZe3nH2142U3l5ueLhcdN6fXS/x4obRr/mXXgaOHbd/T08DnA7Wlp08ZV/j+w8Ap88MfP3sWcCc2ed4EP0oyOfxJCXxen52vTxrw3hrOQgBNDTyXpOTfW6f39DAa20oiosEpk4B5s1NfNwwBm9U7fUCBw4BkYiBUA83VwBLlIfO4IaN/DmeaJT33guNx4MhN7Xa2weO61xRDprivHjyPxJ//yfwnW8CTz5FBaevfMmBkmIHfvA9gbJSYdZcAN/7tkgI/V+JuFwCMzUHPv9Z4IMfAf79pMRnPgk89TQSagAyMgS+8VWBBx7kl6NCoZjYWHe22bMECgvtGtv+d7zubu62b9g0+HUd//zkZIGiQqC5GWhvA+rrx3zYCUIcTU1Di17QARv6XuTzMd1vpLvdDY2MNA7WAFpK1tQEggDk8CmIQxGLcRfe4ZCoqaHja6UoWo7TwUPApEnAqquGfh9rbP0jg4Yhsf/A8E7YSMv6olFGio4dl309o85GdY3tfALAlm10ZvpjjW+4yOaK5Yz0DMbGzQJZWWy+PBTBoMTx4xLt7RQKGYxIdOT9/GL9xuoaQ+V9jxuYNoWOTDTGc7982ejfJ8nHfxbLlwmkpNIBzMwUWLaUay0lZfC5P3Z8ZA7rSJg1k/9Lyf54BcNE6C2cToEbr2ero8ZG4Oix4SNuw5GXB6xcMfTfX3zRwOkzckB94uTJg0durTVk3YusTatTlVznSUkCQjAaGs+GTcDefedyBIPz7HqJg4cGXo/Z2QLXXC24cdTv5tXQKHHmjHLQFBeZnbsk7rtf4mtfAX50H9M9YjHgd3+Q2LxFoqCAN6hnngO+/V05rPTylcaSxQ689jXAj34C6MeBz32aAirxzJ4l8IH3CXzpK7IvXUqhUExM0tO5g93dLbHvgES72ag+ZkhUVNjXb3Ex/+/fyNYS6Yi/0ru7JY6d4M/D3T6jUaZVnaka/X0iK0vA46FxN9xnbNk2fCRDCO7iD0VXl0RVdf8db/4vJf9++jT/7nDQeMzPE5BgdMefiiGFTAIBiedfTPybEQP8qRJbtgJTptDhi3ceo1GJSWUSKck0/IbCsr+czoFRvJbWwSMAo6W1lRt0vb1A7yhENvp/dn+DFWCUJjNjeAfNiA1eCwRwzo+d4PEPRXU1UHkGqDjF9MHBSPKx1cHZyM8DZpgpgZbxnptz9tcNh37M3lzojXCs1rl0Ooc/tqEIBBOP59n1EqdO0WmuqmYUq61NYvKkwcUx3O7ho6+j4YUNPK6mJqA3DEybal/LlgMRCEi0tdsruLeXYwyHJRYvokT/udLcgiEjrL29Eu2djLLt76ePe+DA4PcM65rrNIU4LAdNmmu4MyAR7h24sWMYiZsW58u8OUDBIN03AwHO3c7dEhUnJV6Iu/fU1KDvnm3RGZA4dHj0JSvKQVOcEydPSfzf/5P47KeA3/6eN5tvfFXA5xOYO4dFuBY3Xg984H3KOevPW+904FMfF3jk50B3SKK0FKg8nXgRv/pVlL/90U+Ug6ZQTGSsKMORo0AsaisHBgKJX9h1ZhQsHE6srbAM6PQ4o623l3UqElRItJy7/hzVgSefHtpIGozubok/PW6gvl4iGqGhJM5iEfR3KuPp6qITNFSK44kKjjOeeIciELTnKRqlAdTcIpGVRQMnLU1i/Qv8e09PYj1TS+vASFbMAA4epkBDIEjDLd4+am9nCvmOXRi2ti85GbhmnXlckt99z66XfU5kWpp9vM+uTzSCR0owKNHUNHgaZX+6u1k3FM9wqr+FBQJFRQMdtOZmRr0AzsHJU0N/ZmdH4rk7U8WSBQtHnIMz2PgjEYn0dEZNz5aClp/Phsk3Xs8G4G7X4A7OaHjueYnGJn5uVibn2W2u001buPkwGp5dL+F2Jdbl+VOZjpyWRofYci73Hxh8A6C0BCgqGvj4uTBL43FJUF1wyzb0heKt86EfY11fV5e1CUIH0ekEDh8BekIjVwXt6UlUmjZiQH0DsGHjwHPb08PzmZRkO1gW0RhTXwcgE/7rOwa3OafxtXvWvSISkcjLtR2qo7pER4dxXuq0yclyUCfacgLXreF9JBp376mq5mMnKiQaGvnZHR1Abd3oFU6Vg6YYNW1tEp/9vMTb38YwflER8K2vC3R1ARs3SSyYL1BWJhCJSHzz2wY6OliIrhjI7bcJ/PLnAk6HQH2jxNe+yV04CyEEPvspgR07kLBLo1AoJhYNjTR0/H4aFJYamj+VtSkWkV7beIvvGWUZITnZtnS7dcW7nBQVGCqdLt5xGsog6Z962NNDCf/mFhrFPp8YVs+uuGh4gzI1VSAzY6AoikV3SKKlOfFvIs6IzMulwWP9DjAak5PN75a9e62/SWzakpgeNpjjGItRodHrYwNlwHZSrFSw3l5gySJg7Zo41b2++ie2HojFgB07gWCXFYng8yzDsP/xhs+hx1zMYOqd5XgOt9O+dx9w+kyipWtF3SZPHvj8TVv4ndL/LU9UMJJ0NhwOgblz+M+iqkom9NJLS7OjQbmDGPkvbqRAxCzt7I2Uw2Ggto5z290tUVyMvuwSwxh+bqJROvX9yczgeujulsjNtdOIk7wUo7numtHbJ6mptjohwGs6EODjy5fzWgh2AUWFFPrpT8XJ4WsfhyIaHTgHWVlMm3a5KDA2U7P/1n/j54AZxXK5aL+5XAIuF1Bdyx5u/bH6tcZ//sFDVEq1KCwUuO4a1tX1J9QDVFYy/dUadiwWl2Ew6D1NoqTYikjaCqJW3Vd7u0RWJpCeLuB08tqx3se6p1RVc443bhrs/c9OKCTx818Cf3xc9jm19ujIxs10vvoTDnODzulM3IgbraaIctAUoyIalfjyVyWWLQWysyS8XuBTH3fA5xOorWNPGYtfPiZRVZ24I6wYiN8vsGQJ8IN7mWaw/2BiXnNGhsDnPytwz71ywM1SoVBMDLq7AUigtQXYu58RCikpwBEfvcjKojGXksxaNQujL32HKUoA3y85SfYpBfbfgbaIFxYZSpnuhQ3o29EFaFh0h/i5dfVAV7cxbHRDyuHrrWIxCY97aHnsriAjbPHEp/M1NtmRhkiEhWnhMHD4sIHGRkbJAI736rWU0bcYzCkyDNMRiwxuGAlBp2Lv/sQeYNtf5rmrPM2oUVcX+zhZ75OdLWHEKMLgcCR+dnLS4Mb42Qj3AlU1jLY8/yLw4oahn7tqpcDkSQ5IwxZEiEZ5LIPVeAWD9nmOJytrZFLm0ShVIK00++YWOUBRUxqM3GRnxa3dfpSUAP/5r0QgkDiQFzdIHD9hz79+jNGY3BzWNWZl2q0M1r8AnOiXPhZPIAjs2Tvw8Z4eOnmP/0Xi4EEJaR5XqAdoapKorTXQ2Dj42o9E6CxaGx/PPmego0MiOSWxF1aL2VA+GAD27ZNoaGSvNGBwpzU1lc7baHlhw8AG11YE0O2SKCgw16BMdAri68vCYYl9+w08u57OR04Oo1z96e6W2LXHtkekpCBc/0b3J09JbH+Z10lLi0Rjo6282dtr1hQKeyzRqB3tH2zWw70CR4+yOXqCyqPgBtCJE3RIrbTVVSu5wdTYZDvzGemU609PPze1RSnp6CYn09Hu/zeADmP/NhtCcJz+VCAleXQ9BPujHDTFqHjoYfajKS8H7n/Q3k3s6JCYO0fgA+/jkjp4SOKvfwO+9L9iTBuXXq7kZAv88B6BDRuAbdskPv/FxF2ylVcJrF4F/OSnykFTKCYyoR4W6Wdk8Is8HE4UOWhututU4lX3rMs9OdlWLUtJsQv+K08PXcNjpSsBdjQpGh2YCheOk5OPr61yCKClmQZla6vsiyLFU1s3vEhJT4+ljjf4/X7BfGDlysTH4mvQHIK73gCwfQe/Wzo6GOWJRmn4eNw0gjs7E+diMMcxEqGTJSVgxQYtJ8UwaFwd0fkZ/Y0st/k5NbVAxNz9jpkOX0sLz4XTSTlzv5/vXXFSojtkn7uREo1KHD7Mzbm5c1iD1dQ89H2+4qTE7/8YRn2THYGtrQWOHpX415MDz7l1zP3rrBxCwuGwn+sfpOF2KERHNMlnNw52Oqx1TccF4IZDXZ3ElClyQIPhunoDtbWs9QuHB67hSBQD6q+dToG0NDqgu/fy/Fibk8NlrHk9VJKUMjEFr72D12BxkRlJ65JwOnlc+w8Cm7cC+w4M9a4U6rKc4eRksx5RDpxTl4sORzTGSLg/FThxkiqONbUyoYF0dtbwDdSHIxjk3Dc0UtFw1VWAz8tob1MjN4isebLOv5WWFwgy8lNfz5YIPh+wezfH1j+dz7pHSMnryVpbkX4R68xMfs7xE3y/fQfsthjSAGBe39ZYwmH2aUv8DNmnRPryTommZkb44/9ubYxYx9bVxVTC557na5cusQVT0tM5//FCLqNBCI7T7eJ9Jx6/n/VpS5YMvjkkQCf64CGqe5YUU0RlqFYWQ6EcNMWI2bBR4un/Am95E/DQw8C3vyGQkyMQjUq85/0S1WYBeCgk8Y1vSXzgvQIlJco5GymzZgr89H6B02d4YX/684nfRB98v8DLLwM7dionTaGYaDgcAAS/jLu60JfCk5TEL/hAQKKzUyLblLJubkmU27eMF6+HhgkAeDwCqXGG81Dy/A4HUFoqMHe2Xa/z8o6BfY0MCezZayAUkvD5mFbo8zF1sahIYEY5HczBhC+uvxa47tqhj9/agR9M6t06vqH6VzudQF4e644AYPZMc948FD2AadyFQhLrX5DYuCkxFdxCysSNrXlzuANvyMQUR4AGXF4e1QvnzeXndnQwWiQEjaz0NDsdzjCdQI+H0Q/LQWlrN1BTK/tquKyo1FDffFImpuHFYnRSmps571XVGODkxNPRwfeuq7VTvnp6gKYWGrP96+ncbu7k929AfPgIcPgwoyQ3Xi8wdYpAQ6NEfb09tr376fCXlYm+RtdOJ9/z2DH0Wc/Z2QKzZgqcOD7w88+cYXTp5R1AcbGAx2OP4+hRidQUXjMw347HJPH8C3QqZmlU+7Sc9/S0oefG4+Eaa21NTMErK+V7H69g9McyqnsjTKtdMJ+/948gS8kNaasNBcBoSizGtRTrJ8oSCvH8+LwcS0cHjy09jfMdH90+eUri8JHEz+vuHlmvOMvQ7+6W2LyVGxY7dtFBihnA4oWAI07xp7t7YC8xh1OgpJjr1UqNjY8ISsm6PV5TwLbtEvc/yL/1j8b6U6kEunqlfR+wmt5bKq3CERfJFkCVpfZpPlZXz0hgJELF2mAXRUQCAWYVPPc8/35U5/ukpvL/ytMCycl0iiO9vG9IKXH6DI+toxMjFqiLn6OTJ9l/8djxgb3a0vwCTpfE3/5OUZABCEbfSku5ydPczGvUmreTpxhJPltkTzloihFR3yDxne9LfPELAv/4F/DpTwrMnsVF73IJ/PIR2xn70U8kSkqAO151MUd8aTJlssDvfi3w6U+w5qK+3r4TZmQIfOgDAj/44fBy1wqFYvzJzaGIhyFpFOzeSwNCSkaAjuqMDGVm8Pnz5oqE2lzru/r0GTtq1toqsTvO0AyHB9bYHD/BlCJdp1Fi7cp7PDSStmy1+/LU1jK1SD/O5+Xm0KisrmHUpq6O/bXycoG2djpCFo2NNDSGordXIi1t6H5aFSeBrS/x523b7d1zt4t1Tkd1iX37+XhDIw2uYBBo7+SxOJ12mtbyZYO3bLHmG6BRFgjS4ewfYbMim2l+pjRakaBQSMJhyndL0Hl1uRjtSE01xVrSOT9Op0RBPnD8OBKkuC1VuqFswvoGia3b+t2/pen0HGeK7HAsXiSQkelAZ8B25A1JJ8yap3i6u7kOuroSvzfKy1l7uGUr572qmm0DDsSlL06ZxLnau1+i2YzqdXVx7iJRu8F3c7NETS171vVXoXQ4BN76FmDJYtYC9saNoaqGaX7FxfZkZWSwdtDh4HlobGIKqCXIYR3zYLS3U2jG0W8OamqAo0cASM5HZpZAaqpALAbs2SuxZy8dwa4uJEQgq2soIgLEOReSxnZ7G8fV1cX5M2J0NoVgbVltHdeLYTDiEo1IM11ZorPTQCAw0Jndsm3wFM1wmOfOct6s2jenKVRz0KxlC/cC4bBAZ8B2NgyD957+6prBIEV3OjuZmpufP3ADpaGBDpOUwIJ5vDcAXG+WMxuJMO1x4yamKNfVSaxdbdejxWIShmH2WTPVOJN8tsNt1YPu3CWRZLbqyDI3sdLSuB4OHKQjvXSJfQ6CQTq90qA4SJpfYN8BijRZYhzdIdE3fwBF2OLLcOLp6OBxWGRl8bNLSwfWmdU3SOzdy/VZGFeXazmzXV3AU09LJPn4WU1NbCxvjaviJPDkfwZvixGPctAUZyUalfjaNyRufgWwfCnwg+8J3HQDF/6/n5L4+z8kUlP5+46dEi+9BHzx80LJ6p8jTqfAmtUCPh/wzruB+39qO2m33Myb3K9/qxw0hWIi4fWajVe7uGPv9dq9eqS0d72PmGp4zU2J7TOs3dVQyK5ZiK91aG/nF/+evegzlgE+ZsmzB4J2fUp6GpCTxZQyyzgzJI2Nnh46EtYuM8DndHTSuDyq0xkL91KxT0qJA4cSjXeLPXulWQhPR2goEYgF84Fbb+bPVrqVlDT0w2E6O1bkrqqa8xiNAbnZtrpcSgrf/3SVxJatxoCGsIYB1NXx51iM6XZuFx+fOsU+B1IyynLkKOd1lkYBiuQUgfnzAeGwHUWfT2DObPNcSKDNdKCcToFZMylW8vQz9hj6HCRhjckeYygksXsPHeX4x9PTGaGcPx9YvXpgA2PDkDh5ks/Xj0kcPhxFTjaQaRrq0gDKyuiI9K/zy8uhoSkcEhs324Z1ZgbrxaREQu1OfF3aKXMdlpTQkAfotFrPsf5PTaUKZNcgkdfqGpY7bNnKddffLDh2gk3LLaZPQ59cfcxg9K2tjWmG7e2yLy22f6S2qYkRj0UL6AxYToxhSMQMuy/e8RNAQ739Pp2djNLUN0g8/UxiQ+4kHyPagJ2Om5REh6urm/8CQc5fbwTwJXGu8/IYyc7KZCrhmSrO7+kqGuVP/AOob6SjGx+1ycwYvKXA5i3A1m104q9ZB6SlCbQ0S7S2SWx7SfIxP4+5o0PiREViemJ+3sCoV14uI15paVR3rKlJVKWsreX/Ho9gX8KmRNXVw0fonFopvZmZdEqzsrgGLcGRkxW8z3jcPLcHDkrU1rI+LCWZa6g3TOclFOI1e7LCutbtaGckYjs41rH1hLlGjuqsfQMYsQwEmI4ZCFBMxNo0aW0duMl07LhEe7uBunqZkILY3c1jjEXphBqG7BP8YFRfoLSEx8zrmmuno4Nz3dEB7NrN87lkCR1pn89e/C5nohrlYCgHTXFWHvsNFZuSfMB998uEGoO5cxIVg5YsBh58QCAzUzln54PbLfCLhyl9u3EzbwAAd4U/80mBx/+MAT2FFArFhae9nQ2Fu7tlQkpUfT2dA5ebkZ5IL6XYU1ISv4iTk2hIuT00OE6fNrBhgxG3I22nGllRHAgakVZ06thx+/2amhObS4dCwH+eZk80S6Uvvm7H4aQz2dNDo2rKZKCuViIvD1i0UPS9B6NRNDpiMRp02iC9kppbeI9qa+dYurqY+rd1m4Fduw2cPk3LsLkZqKgY+HqPh++fksI0KQC47hrg6nX2jr2VZnaqks5cbS1/rjWdsXh1uJde5i8OB7B4EeByC2Rn0diza9Akjug0GidPojR3JAK8/DLTlra9ZBt8gQAdm9Y2S52Thp61497UxBPl9dAZtM6Ro89Bs4+1oZHvUVrC9+gMyD5j7m//4Pqpq6NIRjy9vUyVampibdW6tW7U1tq9ywxJg7qnZ2C9zKHDTCdzORPr8A4cYsSm/7eIy8XzXnlawufl7+l+YOpU+/WxGHufWcazzyeQlcnP7q/kFw7zMxoaKZbhdg+0DeJ7sLW0AIePcj1Yzzx2nHNSVW3PzaYtdKoskpJ4HmtqJNxu2efsW2ujq5tzmJ3F8VjG/kxNwO9ntKy6JjHaGg7bghjWvHV12RscOVk0wB2C0aajOp0Yr5evbW2T0I8xbbShyU6HS/IBu3ZxTZ88ZTvrQjAVcNduW5TEMCQiUTbVjsW4qdDRAcyaxbTAYBej4oEAnVqPB5g3V/Y56lJSyVSbAbTH1eUVFnIDJhbjxkByMvrEiPbtlwh2sfUDVUUZdT9ylM60FWXsCUv4/QKrrmLt143XC3i9Akd14Ln1TOF0uDgfXSFg20sSbjc3FmpreU6KimwBIilZJ+ty8zy1tds1ndu2s/Sj23SKc3N4T3K5BJ1yF2DEJBxOiZd3ALrOc9wb4WZKR4dEuFfC67XnwEqFPHiIcxivBtvYxOhuxUl+9uEjzIqwnF9pSNQ3AoFOOt0NDex5t2QxUz7b2oHZs7kBVN8gsXuPgd/+3kBnp2RdWimjc8OhHDTFsOw/IPH4X4DXvxZ44m/A619n3aQlXtwgUVYKzJxJSf2vfsNASwtQVKics7EgP9+Br3+VX1hP/E3iN7/jjWXSJIE7XgU88KBy0BSK8Sbcy133LdsSHaVojEp/ra002ru76TAEAjQIrciB10tDID2dG1m1dUBN3WBpeEyHCoftyJJlEOfl2UbSlMnoq2uTpiz8EZ1OXn4eH49/b38qx9LdTeOhu5u70IFOprJB0hnp6aFhFui003asXfFoVGLzFgPBoEHxhx6J7S9LFBXQ0Fu8kEbMU0/bYgGVp2mMRqMSlZXswSUl0BOS2LJN4sWNwL+elNizl1GmPfuA1FSJ2jrOp8fNuYvFgKtWCOTnC5ypYqPYeKW603HS8YcOMZUrP1+gyUyVA2xj2+ejk/fCBp6rSARI9XOeLeW2oDn3Vi1NTS0N3uRk1vylpJiqnClmLZkZYbPuzoEgUHnawPoXJLIyJYoKOZc7d0kcOsT3tGoL29sZ4enfG8rrpeFXeZrHLwQ/zzJek5JsJz3PPOe9vdzV7zUjm30iG+axJ/mA0mJbREFKQAgJj1uiq4vjyMzkZxw6jL4m6FYKbU6O3T6ixhQBKS4eGAHKzmbGTUkxcPQY0GVGPbu7DRw5IhHtJ2pyooJRi8NH4gQYxOCCGtG4dEqPh2m6L2zgmrbSL6214XAwQhQIcjPF56Oa474DEo1NPM5JZcDsWfZ4Ojr5czAIPP+C/Vk9YV4jzS00vhfMlwiFWHvW0srzWVfPMoVTlTyvgH0PSDVFaVpagDS/3d/P6WS0hgqFrFXau0/i8BEzMnZCorUV8CUxHbl8OqP1dfV0Blwufv72l1lfePwExT/q6syIV1yEc/8BRs6CQQCSIkMZ6bzv+FPtuYtGec16PAI52Ty/TifPhxHj37a+RKGVrdskNmw0EIlIdHSYzvZhRtViMY4zFmPkLN9M4w6FWCNnGIw+Wum60SiFVgyDEdQbrxdYsligt5fz29Rs1gLGJM5U83566Ajwp8fNTZlsZjF0dACdnRLHjgMbN9pp1jwfPCGbNiemgO4/wBrdWAyYN4/zGgwCK1ewFrMnTAEih+A5z8/nxldXl3m/E1Stra9jhLKpiVFhOoASHZ1cu9Y6GArloCmGpKdH4lvfkXj724CHfgZ86pMCpWadWWsb8PQzsm8XyukEViwXyMy8iAO+DFmz2oEnHhe45mo6wdau7jvuEjh4SAmGKBTjTVeQfX062mXCjqsAjcCkJBqvfr+AYdAoi5fTbmhkPc+Bg0zZMgw6Cv1Tv/YfAE5X8kvdknTv7QV6wxLNzbYIQlMzU4QmlSVK4TudtjqhJXBhxGwRkGjMbg6dnwdEYkCKaQS3tVGCXEqqKHZ1S0potzKitP4FGij79jNiZEnk95i77R4PjUJr3ACN97w8oKXVQDRGI9cax8wZdDQjERq9wS4aj0eOmLvV4LEXFtBgO3SYc+jzsl6vLzIW54j29HBXPBIBdu+RKC0FfF47CtTVJVFximNcucJqsg34U5jSF4sJqkaaaV3Hj9FITvLReHY6aUD7fDRa/am8F+dkJ45l5y5g3z5+Zk8P0NIq0NJG5764mMeXns5IQryzHY3aEdpwmBsCvb1M43vu+QgyMuxznWIKMoR7gYNmjY2UPF/+FMvI7reQBZBkKoZmZnCzdckigWCX6HNqGI3i53SZ6bixGN/L7bKjrDDXSVIS8NL2xI+pqpL457/paDsctrDJ6TMCXp/dDiEQoCJhSgrtC4G4WjJJA7m3F5hRbtfSxTdWb2oCKk9xje3aY9ce7dnL+TEMOpwHDvE5VmTM5aKj2dvLCJpVz9XdLXH8BMfW1mane+bkcGxnzjDa86tfs57ove/he1kptdoMRvQcDttpt67xtjampba2286bHTHj74ePMH1x8iSuizNV3BxYeRXX1qbNwDPPAk/+R2LNKl5LKSk0+iMRRsOs5vGTJ/H4olEelzQkpk9j2l1GhsDuvcChI9xcicWAWlOt1arpNAzgzBluNmVm8jiMGJ2iPXspEFd5WqI7xGyrri7L4ef9pr6OmQPLlwm0tbHVQbiHDmF1NaOPzc2cl2hUIhDkz/X1dCqFYG+81hbJFNNUc1Oigw7doUNAdY3Rdw0wewHw+yVOneK9TAg6islxjn57OxtZ+/28BluaeU/OzrKj0o2N3MByOoEjRww88TcDSUnA0qU8xzW1TE11OLjZ1tVNsZKiIl6z6elcE04X38PrFfB4OJ6aWgyLctAUQ/KzR9hT45abgXe83VbY6u6WyMkW+M43HfB6BXbslKioAG6+SUnqXwjS0wU2bOIu5jvvlnjibwZSUwXufrfAffcPVGdSKBQXji7TqZhRzhoeS5JeOGhQFhfR+Ar12AZXe7tVLM/Uq2PHzfoLJwvZKWPN97eM4/nzWLPicNpG0omTTDUqKQZWLOPzgkHuQqeksB/QpDI+npRkR2ZiptFHiXE+1+c165CmSJw6Teds+nR+TnUNU+36lOuCds1PNEpjxO2m0dcZoAMhBFB1hmN5cSNTjFwu2+BsbaUTd+pUrE+Jz+nk6+hoyL66oVfc6MCypXSUrNqv5hZTFMCcC5eLY2xpiRNwiOP4Cc7BsWNMhwt0Ar0RilnU1HDsS5fwHEajbADd3s5d/t27QAc8YqeHOl08x9k5dEprayW272AqU3s78OzzfF4oBDQ2GpCIS3M0x9TYxHUwdTLH1tiIvnNfUcFaI6uGTj/GnmgWRYVAZqbA9GlAUZEDra12ZLXYFCqIRe3HvF5+Z7e10xHvMeudLDXHriCVFefNY2prVpbA/gMSZ6oYnT1wUCI9nfMcjQIe83UVJ6lYWXmG7xm/RjZuoiHdaUaeqqppKEcjQGUl11zFSeDwERrGwSAN2LlzJNraeW15PJxfX5KdrilBY76hgUa7JV4TL2pRXCywaBHTICOmmMaLGyRysiVWraQjeuIEkJnO+syQGcmbVCZQVETHo7eXqYcA+qLGoW7z2jY/q7GR51sC0E/wOS4X8NhvubFgrSHL+C4podOU5GMK74GDnL+Q2ZvNkveX0qzdauTv9fVMmQwGeY1oM4CWduDBhyVqarmpEwwytXbHTl5bjU18jxnlfL3lYLV3MKWxM2DWd4a4Fk6cMHD4iAGnWQ9VW8eUQY+bWQLWZeVwsJl1JMoIUThMRygaBdo7BDIygM4OoLGBTk2wi+dRSjpEyWa0d9cuRhpr6rh5cOiwRLiX0V8rNTgS4XkIh4HOINdAUhKv5/oGc30LjveoLtHSAkyblqjuGTHTTEPmvbqxUSI5me9rqUsCjDTW1XEeDx4CGppMh9DB61EIOsYNDfy5uobKpjXVPM/7D7CujiIs3EAvyON7pKQw7fPkKdtB37uPjve0qRLtHdyIGA7loCkGZe8+if88Dbz6DsDtEnjtq+074be+K/HMc7x0a+vYuLqh6WKN9Mpg9izg4x+lQfHoL7lze/utNHD+8a+LPTqF4vJnz94oenokvF5TAdEUrti1i7vfnZ0SpSV0IlpaWfsQb7wePETHrKsLgGBNT5pfYPYsmRDdcDppxJ2pYprQ/gO20WbJe+8/AJyqpMMXCNAIPnwEeOFFKiRGIvycYBcjE1atjmFw3LGYrVDY1c0arYYG4F9P0oDraKdzZ+2CRyJMHTRiEhUV/Ndo9uEyDLumJzWVMttLFwN5+YweeEyJasNgzcikSc4+p62xiQbSgw8Dj/6K6UcZ6cBTTxtoaKBhn2OKXERjHGNDAzB3Dnf+M7OY9me9X3Kypf4nMWUyDSOni4ZSXT0jHq2twJlqjrWykse7YxejIsdPsPYlJdV+z9QUYOF8qif6UwV0nZ9x9JhAUYHd6BsAIClyYDUotsQJrKhRXi7ff9tLtky4ITkmj4e1Nzk5TFuzRDkA1njl5jCdLtQDVJyIsU9cJ9smbNoikZvDiFheLo8/GJTYsEnC6eJ63X/AjMCazktSMo37l7YDf/gTHbKWVkYlNm3hMdY3chwNjUBFBV+XnsZxZ6RTmGL9CxKhHgmng8+rrLRFbjo7eewuN4U1jh0HDh5k9CkSZU1Wb4SRho4O/vP7qaTZE+Y6bWiQmFRGRU6Ph05WRycjd/ERtGBQorKSz4lEgXqz59ipSuAvT/D9UlP5/4ZNQHUt04d375E4fZoOVCRib2ZYGwHHTpg1kHHplB0dAAzAazoV7e1AcxMjO8nJdB6CQV6DDQ1cu+npjCR5vUx7SzKjh1aUu9Ycr+WoSMk1efIUsHsPFWCPH+Nn9Zpy8osWAmtWC5w+zY2fqirL8aGTEY3xGjh4SGLXLl7Xk0pNJ/kw8MTfeU46O+k8Fxcx6pifx3HYKrQSRUWsM5w6BX33lzNVTGc8VUnHsPIMx7B2tejbXOnspJMViwHVtXYk1+OhE2QYdFYl6AzpOgDzvjN9Ko+1vgG4eq1AUZHoq8cF+Dr9GLB7N+87AhTfgOR9pbaOr688zYhcKJTYsBvgpkaDuc5jMapQHjlKcZHiYkbtu7s5BzM13osqq+hspacxJVoIrsuXXgZ27eF95tBh+7OcpiJpXp7ZcuGwHTkdDuWgKQYQCkl867sSb78L+O73uTsQz+c+LXDNOl7IX/qKxB2vBNasUpGzC8nCBQL5eQLr1gjc9TaBTZu4i/bRDwv84pc00hQKxYVDOKhm6PPR8Hj6v0yXisbMupFWGhJOJw3zUBd/9nhohHtMUZB9+5ke1NhIMY2qKkZhdu2hsQjw/XfvYXSoo4Nf6i43jY6aGhphTz/DJq3d3cC06RxjJMKdZ38qjeBAJ+8TNIQkYgbTMnt6OJ7WNqZrRnr5/kzVsRXqrFSltnZg0Xzumh8/QaPIagUAcJfc6aBhcuCQgWCXJVnOXWyAjmEgADz6ix60tNhNr3t7+bnJSTSSSoolsrLM1Kcm7lCnpaFvO7+lldLwtXXcjc/MpIhCU5OEw8mIWEUF69+CXTSunlvPsVs7+tlZNAwDARq5y5dK1JniE5EoDfm2dsDrldi5m8IwO3YwrbK4mE5INCL7DMD8fI4vEKSqpVUH5zQds+IiYHIZ10FdPcdUXWOqSko6ZYWF/N/rZdZEfFSwp0di3wGmsuo60NJK56Q3zFTXtjYajr1h4PG/0Oli/zMJadBALiqk8RoOA9XVEidPcrzHT3Cu29olquOkzw0DWP8cf6cUPn+2+vp1dVH+/MBBGrhtHXaarzaDz83KlNi7Hzhzms/3uBhNychklDkllYbtsWP2+i0rFUhKAoIB4N//4fx2dMq+eWvvoE1CxVTZ17IhEOB8TpvKvl77DtAJdTj4up4eGvwpKZwDn4cKhOXTaWA/9bRZk9lF26atjZ/p8/J6sk5Hfj7XldtsY+HzcW3Nn8f3zc+nmM60KeYaC/Jc68eALS/ZoikQvF5OmsI5uk51VqtOzOEEvEmcy9RUINhptqUwHbiDhxix/OsTdKwjER7r9Gk8z0k+oMSMrBoG115XCH39+uobgalTOWc9PXReLEXYgJlOun8/hUFiMUDXOR8dHTwHfcqwBq/PkmL+y83lc09VMmId7KKj4k9lzSObdvOz6urNlgXt3KSoOAkUFHJ+srP5WQ4HNwN27DSweauE28mxGQbTw60081OVwE030IGUYHqpEFQ3bWnhMZRP5/3o2fVG31p2OinWkZfHDaFNmymKc6aa10VvhPeC48eBP/4ZOHmS67iogNfcxk1mnVwHN3OkeQ/xeBhNTE/jfHab3wc79zCN9tBhW/xtKJSDphjAQw9LlBRTIvT664ClS+h8VZ6W+MkDBvx+Npv8yQMsDH7Pu5RzNh50dQP33CtRVgZ4fQJP/YeCAPPnoU9ARKG40tA0LUvTtGc1TTtu/j9oJaymaZWaph3QNG2vpmk7R/v6DRuiOHhIwO1m0X5zC41MIlBWytqDnh7umtfVUz2ssACAtFXp0tNpoJ46DXjcEmeq6LCdqeIuqz+Vxkp9PY3O5GQAwiwqT6UBOGkSMKOcBfBpaUxXA2gYlJYIOF00yMK9du3NocM0eE5U0JFsaeXucWMjVRit91+2lPLgTU2snwK44xuJ8tiSk031MUHjpaODUSOHE2huZVPhvfs4P14vDVmAx1R5GphR7sSpSj5mFeKHemiIFRYC//kv5zE1lWM7dtyWgHe5uGNdX09Hq7qGRmQwyKhKaysdYK+X//JzzfRL09KREpgyhfO8/nk6mfX1wH+f5Wf1hBkJOHyYhlhFBQ3XHbtsIZDJk2gEx2I0CnNz+PmNjZRCP1Fhpyl2dTHtqbGRRn9Xl4DTQQW3zHQrvZEpb7rOY6moYBqUlIykWkbcjOmA0yWQlwcsmO9keqkpEZ+eTsd9RjlTXEM9NIBzc5hOdqLCrI2Jmim3HZzL7m7OU0sr8Nxz3GwAuK6NGJ0Br5fHPX2awPETlMxvaeVnWBHCcA8dUAkazC9ulHhxg4GqaqaWerxm/ZWgYR8Om43LwebRXV10yGIxbhhYdWkd7Vy7jQ1Mz3O52IfO6s3V3c3aKMDqASdw5CgdvqIiXkunzzDzJC2Nzbz9qTT4YzEaz5PKWBPkcHCMLhevh1OV/Ht3t51iCPC6zsww58+MlM2ayc2a3ijXuFWTGQhwrbmcPFdWHzDLEXI46DQBvKbb2tDnJMfM9hxBUzWybBLPczgMtLULzJwJuM1ofms7398whYoamjgGn49OxL79PA6ng+MOm3WoLS1c3/n5vE7bO1g7Gwjy/FjOYFsb56Czkw5bb9hOYfR6BZJ8pqNlRkE3b2UaYEc714/Px/PX2kbHy+WiU29IrrX8fB5vdhaQkUb1Vb+fDo3DwXPV3k7nqrmVDs+ZKtatRaMU0MnPk4x2hhkZzsjgHFed4T0pGpU4cpT3qdNmhDcU4vwGg/xntURxuXk9+/3cQHC7bKEnr9fceBF2xD0Y5Jrs7mZbkKZmPq+sjMI12Vm8hhobqcydmWFu2MXVMA+GctAUCRw8JPH0M8Ca1QxVf/B9tvOVmoq+5tTPPCuxaTPw//5P1Z2NF5kZAh/9iMD3fyDxytt4Lv73SxILFwJ/+ztD8wrFFcjnAazXdb0cwHrz96G4Vtf1hbquLx3t62tqDFRV0RlxOmgIWAIYXV1UMmtuoVEmYPYlCxh45jl+6Tc08Es+aKrINTfT2WlsZJ1Kko+/R6Ksd+kO8X2iEbtRans7DbiDBykQVD6dRsgO05HKzgZ27mY0LxigYVVVRWOoqoqflZzMMVpOTyBI4+yIToenq4vH5nJRGQ6gYbJnLw2LmEEDqKWZu/FnztDQcziY8ub1CqxYzqhRLAocPcrd7qxMfoc4HOY/Jw29mGH3Jzp6lA2UG5toWFdUcK6iMTt60NLM389UsY6vo5NG3vRpAkeO2AZtRrpd42FF+wyDBtehw6YoQBt/bmhgGrnHQ+c0O9uWZe8O8f2zsjgnTz/DuaitYwQiHKah5/XRKchIpzF24KAEpN3X7h//YsQzPYPpqEVFfL3DIbBwAXf+S0s4R7EYEDOL3zo7JXw+9tQrzGdT3mPHYnA6AI/P7pHXGeA6KSjgYy9ulPjnvzm3qalUFGxpoVF8+gzT+4qLzTqdKJ2ozAwKxvT0cC2nmJsFnZ0UozhwkGm8ZaV0Bi3HN2qmvHk9dsrn8RN0VIWTwinZ2TxX1dVcfw7B85iVATjM+qZeM0IrJddIQQE/f8oUStoDdJwtSfbWdjofHR1UO6yrZz+9zk6um/Uv8DN37mIkrLrabIfRwPPX2MQUzY4OOoJpflstsr3Ddl47Azxnx48zWuV0MYrodPEYTp/mNZLm5zUbCFjNnIG2Vvt6slQ3rZYPWVnW9Six/nmrxYEpvAIa8FZKY2en6SiBQkFtbcDMcmDJEkY4i4rovMYMnufubkZ3du/m64NBbmqUFLO+LxZlem/ITMdzOXlMGzYZMKJsWl5SYvYi62X0afUqbk4kJ3Od+LzceGho5Hx1dtj1oYYEcnIEZmq2QEkoZF8v2Vm2OEtVFcy1Tkl7S102KYnHs2OHqUAp7NTQZPN+6XLTofZ4GOnq7gamTxeIRnkvkJLn+uWddhaDFXVzOAWSTbERn4/rff58tnkoMCNkaX6+pxHjPFutPzo7uS5dLl77DnPDqqmFrwkGeR6ys1hL7HJTWGTKFK4DKzV8OJSDpugjGpX4/r0S736nwKtuF7j3HoHkZDpfe/ayd8P11wnU1Un84EcS/+/LAtnZyjkbT268njfIBx+WWLuG6Rw//wULvR96RDloiiuSOwA8Zv78GIBXX4jXp6cLpKSyjqSjk1/GmZk0GBwOpjRlZnLXPSmJxkAoxC9wq84EoMEX7gFaW1iLZH1Zu938Qm9ro2HR0MBIW1fIVh4LdtEwSElhhGv7yzSMS4sZOWlvZw2S203HwumkEVRXRwOpN2L3OAM4xtRURhWs+qhNm+nc9fbSAevtZXRm1VV08CzHLho1a3ZidISiURoqvb0SD/2MRmpjk+mwCqCsjNHE4ycMpKTQmHM6aeQVFLDQPyMDqK5itCMnx3SKnJwTh4M70sEgcOAAxxYKMYOgtg74z3+YHpacREOtqpqGtcNhR7QMyXkJBGmUdXUBt99KcZSXXrbPFR1NGmbNzTSkjp+g0xKNcod8336gvY3vUVJiiqtU0VCNRWlIC8HXGpJz391FxbmsTEZYesMSjY0SDQ38u9vLXXtIRkVra2lYBgIS+nG7jquuwaCAh2k8t3fwvLy8k3LwZaVmo+QsRuoyM9iztKSETlQoxDTNxkZT+CQbmDOL58Gq45PgGvP5aNCXlvK42ztsBT0rBbahkecmLY1rIjOD66aslMdScZJOXEY6U+BSzNRAbQbXSFsb5y89nTVfHZ08T1tf4liPHQNOVtKJy83mcUlJhysnh2tBwlaENGIcR0ODXetTUcFrx+ujoT13rhN+P6+bq9fyWE9UcDy1tbJvPosKOWeWomlzE89VT5gOTbjHrMWM2Q59WzuFStLSuJ4sFU0rYtLWxnPX0UEHyZKfn6nF3Q88nI/Jk8z0YDNC3NDEc15fT2GaDRvNFgNNdAYrK+3Ip8fDYy4s4Hy3d3DjIxYD/GmcRyv6XlvH4+rt5RwIBx/rMiNMBw/zX1U1neSqamDKFCd6ergZo82gbdIZsBvRNzVJ7N7NazIzk9dZvZnWGI3SWYtEmfbqcnGMTgcl6VtaeV4bGjjXp07xM8NhU/Gxnes0Yt6fjup0PlNTgV//VqKlmevWapeRkc4G8J2ddvuGlGRGa5OSeH10tHM+F8zjui0t4Wf7/cDxk8w86OjkveqG6/h5jU2MVEuYffNC3BBaMN+MCJ8GfB6guJA1hJ0dVp3swObh/VEOmqKPx//Ci6OhgbszxUV0vgxD4re/l32qRAUFwH0/FH1NTRXjh9Wo+rn1TCN66AGB731bYM1qYPt2qiIpFFcY+bqu1wGA+X/eEM+TAJ7RNG2XpmnvHe3rHQ7ukjY102hcuphf8BkZNGoLC2lgJCVzVz0UArZspbNjGfYAnycEnRH//2/vvcMjycqr8XOrc+5WK6eRNCPVaHLendm8sxlMMHGxMWCCbaKx+T4bgw0/sA0Gk8wHGEw2GIwxyYBZFpYFNrM7OfXkGUmjLLXUOdX9/XFuqSSNpNHs7M5OqPM8eiR1V1fduvfW7ffc933PG+LrR4/S6IpErB38UokGdKlkeSqiERrT2SyvZRg0BHr6SO56elVYVJrXj0WBunoagqUS259TO9MuF7BtGw3Y0TEaE5qDRlttLclTOq3y6fJAoURiMzRMI6xcoYHCXCf27pjK9ZhM81hA5Y+Bm3xDQ8Ddd7m4Mx1mzkYuR8PR5WSfDAzRKGMoF0NBx8dp1A0M0NCrrQW6dR5z7DjPH6vCVAid30diGA5a3hiAxtzhI1ZR3442GuWDQyRPHg+vkZzgPcaiHCuvl+8ZBg3AcNhS3RtWnsRcnmPv97EdQlAlURrs91KJ95JWqn+TKeALX6L4w6EE+/X0KY5tqcycpfXrlHiIk0Ilh48KOBzAyhUOjCc5rg5NeWNiiuRGaFS2tfG1cIRjvHsvyYTfL6YKqgPKI1Pk9Q4lSGYbG3leKXmNShmIq7yxYpHHpSZpvE9OAl1dPHZggP3/5FM88akenr97uSX6EYsxR+63j7DvnU6eN5u1vETRCDc+QkG1uSE4x0pFoCzZ16kUSW5/P+cWw30Fent5z2vXWiQgGFBz3LBKUeRzLJmQyXAOLVvK58+o8FpnztDYHk9aocy1NZJ5gi5L5TGb5XwYHOIcrigyNqY2FcIREv5giPMbsGTXs1kS16PHmFP25FOqvysMs81kLNXF9naVC2fwWaiqYt/6fcyPKpV4j0ePsa8dDl63uoZz0fTaRSIkOKasfTDIezdLgdTWCIr7uDhv44oA+7y8N5MESwmc7qmgp4frWKFohchGIyTOicNsu+bgZtTOnWy3x8N7C4a4fsSruE45VJh0cwuvHQlbmzMej3puJjkf8gVrfWxs5Hjt208Caooy7d7FZ9LlIrn69W9V4fUw1cj37rM8qT/5XxUVoaIXdu1Wojolq6zEyAj7/+QJCunc93Ng1SpuFAjB60TCPOfEJEM3H3+C4a/HTlgh1Iah+vEcBM258Ns2rhYMDEh89esSL3kxlcDe+Hq+Xi5LCAF87CMaDEPin/7ZwL0vF9C7bHL2XKGmRuAtfwp8+CMSX/uygN4F/MOHgA0b+NrXv2IVYLRh40qAruu/AFA/x1vvOY/TXJdIJM7oul4L4H5d1w8lEonfLPbDo2NAOuOGxyNQFavg1CmBfE5DXZ2G/gHg6NEKjEoF+RxQWyswOibR2OjCw4+WcOwYUFunMSxKSITCNDo2rHfhdI+BY8cN+L0CK7s1nO4xEIsZyOdZQkOARkg4JDA2TtGHJ5+SiEQEurp8KBQk8rkSvF6Bulrg8BEDI8MGGhs15PIO9PeX0dGuoX/AQG2Ng8bkoAGnE9i1S8PpngpCQSCdcWJgoDwVitXYqKGpkcIFHe0CT+1gHbFctoKRUYnlugaPW0MgCGQyBvoHJFIZ4KYbXGhuLCMYFDh0uIJsTkNywgtdB/buLaJQ1CClC8GAgaFhDWNjBiYnJI4dJ5G4fbsL5YpENltBIKCU8QIaJpISbuUViEQAt0ugrV1DapJ5XE2NEvm8gNNZQaFAQ3ByEoDKc6mOexCrEqipzsHl1FBTzbpOO3YJ5HOs3WZUBGprgEjEgbraMtJpgXAYWLXShQMHS3A6BAYGJJqbBJxOSaGVMQm320BdjRMSKryrArjdAppm4OQpbpq5nAJul0ClInHmTAXdyx0YG6dITDAIvOqVPnzvB3nUxAVaWpzQNODHPy0iFhVwOp1obXFA7wSOHS1icFCittqJdFqiXNYwNGygqVFDX18FsZiGhnov7vt5EU/uKKOlWUMkIrB7TwWtLU58/RsCra1WX/afMZBKSUQjGupqNaQzEpmMhrraCo4eMxheqwn8/BcaGuqBYMiBfQeKaKwXGBuTqqCyE8ePVzCeNODzU5K9vtaJWJWAcBSRyWhITtCqHxjQUF0tMDYqkUxynkciGpxOYGRUYNMGByYmDfT1VQAInOlnSQfDkPD7JAb7Bbxe4Kkd7NdCHpiY0DCeFNA7NWy9VqBUBkZHK3A5DZTLnMMuF1Bb48Cx4xXK6e+swO93IJ/XoDkk2pdo6OmrIJcDBgY1hEJAXZ2hil4bMAwHXC4XzpwpIhLTUD5jIJM14PWyJmm5LNHezp2AWEwgn9fg9QLZTBmhoIbGBoG+XgOGpIx9ckIiHgeq4xoEKPQlNA1uNwVcXC6BkdEKTpx0YWy0jOQYPbHLlws4NAekUUY4DOhdDvT1SYyMsnB8MKhhckKitcWB4ycqmJgU6FymIZuroFCQCATcqIpVkMsxdNbrceDo8YoKRxbIZjVkcxKptETrEqEK1WuIx4FikZL8/QOGCvctIxJ14fhx4MTJCmqqObZVVXwuggEBjwcYHzdQKgs4HBIHDwIdHQ7cdKOG7/53EZrGDYNYVEOhKFHIS5RLAs3NLErt9RoYHTXg9boQDlXgEBKaQ6Cl2YHe3vKUiFHFcMOhVdDV6UC5xLk4MAhUlwUKhQoyGQ3hsEA2IzExqeH7P9QQrwJGxyrQBO+/VNLQ3KRhz26BeNxAXx/zhCcmJVqaNMRi3ODqPaOhUpZY0a0hcbiCulqWW8lmuVYH/MDpUwK5LHMcs1mJlmYnhJBwOjjWlQrn1EKwCZoNSCnx8U9J3HQjc5n+6UMCXi8N/O9+jx61d7yNMfDr14opeWkbzx2e/zyGRVDFTOAbXwMeeVTifR8AvvbvEq/9I5ug2bhykEgkbpvvPV3XB3Vdb0gkEv26rjcAGJrnHGfU7yFd178PYAuA3wBY1OeFMFDIV7BjJ70fjRWVC6HCtUz1NX+QO/U11dxhdru5I1up0Ag4dZqbKeUK8PAj5SlPUXs7d2IPH+VOspTcZZ/K63BZO7p+Hw3C//5eBk1NfL2ivAXlMne0T5w0UKmU4fMB/f0VGBKYSFW4M64x/OfYMZVPNgoUChVkM7y3ShyQqCCbozfrTD/zlQ4llBKiH8gXDJzcC6xexRClkVEVkiMrGB6hFyiXA4aHDfzmt2ncdAP7pb9fQzZTwvAI0NBQQb5Aj14syvafGShg7Soq7u09wPwlKStwOOm1qW+gV6HvDD2Hr/sj4MFfM/wsGOS5evusUgJm3kulksVvfgs0NgG7dxnMaXNTnMHjpjcmqHKuGhrKSKe4w59KA799qIyjR+mJSU5YxYtzOX4mGAAcjhKOHqPHNBpjmJPmYOhZQwM9WhNJqr1RsZEu1ZOn2NYvfyXNwrytQKlSwtAQvQxeLzA4WMaZM8wBmpgESkUHRrIV1NQCY+MVlMtAT28Fw8NAOmPgyNE0jp8ylToNVAylbieLyOXoXTC9OKmUqoE1UEFVnF4qAd57JsPwuvEkwyOHRxjqKUCvikvJ52ezFYqQlNje6jjg81fQ1ECyf7rHgCHZT4PDBjo62M/VNZyDpWKFqpRFYP/BMud0CciPq3p+k/SKeL2ca5Mpemj6+/ls5XIGPZyS4+Xzcj5GY/RsjCdpWE9MGHA6gOpG9iFEBR4P5/mvfs2cSI8XCIUqCIZ4jkiE/ZPPl3HwUJkeEFlBucK2FQqSobpeIJ2uMK9Ieen6+ui2d7kM7N/P4/0qb1LTuCExNFxBfR0LxYeCFRw5oryNysvi8RQgDWA8hakNgLbWMioSQBnYtbeCqhimCstHwhUU8sDIqIElrWbtPV5jZAR48skCAkEgEuV6NTxSRiTMZ8ksfG7mb5letnVr2YeJwwxJNr34iQTQ0lLBxCQ9VTU1Bk6cYL5eVYzzfyKpPM6GCk8cBRqbKvifn9Arb6pAFksVtDSzYDYEowZOneZaFwwAicNFrm8VwMgBmUwFUtJzVx0HzpzJKwn+0tTzb+absbZeBZCmYE0Fg0OYyhH1+UyvYAU7d1fw2lfz2t3L6V0tFICDaRaoLhUYHrpyBTftTp7mWMaruG5Hw1SADAToMW9tAVpaAUOWsXsPQ1YzGfZrKl1Z6GvPDnG0wUTSI0cYR3zP3cDaNZZx/+IXAn/4KoHHHpfYtx+443YBn882/p9rCCHwpjdo8PuBvjPcCWtbwt3eL30F2L3nHL5zGzauHPwIwGvU368B8MPZB+i6HtB1PWT+DeAOAPsW+3kAcDoEcnlVRDVviTmUDUsQIJulwTuZslQF0yl+Pp+jMeL18Nh0mu+XVC5X0E/yEYsyzyU1yTCzkCIJxTz/Dod4HjNkbPMmhvrkcgypGx+nsQbQyPJ6aeyFQrzOwCDJXirF/C2v1ypAWzas2j/Ll1OmuyrKcw8O8jw+H40cp3NaAdkBXs/jASBp4AX8/AmHmOeyYydJ1YpuJ1xuFYqXZ3snlQFeMdjGkTEgXyRZONNP43psDKhI/taUIEOpxDwhM3QtFKRB3t7OPBJNw1Q9o1/9mmFWBw8qI8+g0EFGyV9XV9Pzlc2oEMgM8/KGR9iGcIh/j4zScE1NWv0xOsrQsqoqwOFiuwwDOHFchVdKfscePKTEGvwc09ExK3eqWOK8OX4COHaUoW81NZwvXi//3n+AIirNzdqUuIrHw743DBrOLc0MmdXUa+kMSeLICNtZLJLUmOGgsRh/shkrR+rAIY5ZdbWq6afCGoeGSGTHxtkml5ln6eA5cnka1COjDDl7aocVeunzKnEGyZps5TLnuUNZoU4nDelTp6yND03wtVCYZNAkk+Ui+yoc5lycmFThxT6BQ4fYPl23isQH/SReuTxQU2upK8ZiHI/BIV6/to4hiYNDlL93OS1hHVP1UghLkr5Q4Fi73JYkvClAkUop1cwKPxtTIidCkBgbdBBCCI758BDnyKQiYpMTHAOhnuOmRn4mn2f4XXsbrx8I8FqBAK89Pk5i5PXy/G4379XnZXpKMKRqAZ7mueNKwKVU5JpSKlvh2D4fyY+mWUQpEmY4ZF0tVTPHxjg2hQLXgupqrkvFEs/pU+HBoRDJjNfLc09OKhGkMl8bGGD+XKHAtWF4mHPHkKoOYlnlzGU4luNJ9lU2w3HqO2Plq06VqBC8N5eLzzjr7AETak0eUiQtrdZrpxOorWau3WSKc9jhZEh12xK2za/6+amdzEPVBMdpfIzXP9PPPsxmuWb09DL95PRpq9zDwCCfa1Phdj7YBO0qRyYj8Yl/kXj7W4HX/pGGt/wZydf4uMQ/ftiYqonz/g/KqcRPG5cO7v8F8K1vczVqbwc++2nu3P7svue4YTZsXDx8GMDtuq4fAXC7+h+6rjfquv5TdUwdgId0Xd8N4AkAP0kkEj9b6POzoWkkZrEYjZwzZ1QO0hB38nt7+MVbyAMwuG7mclYtLIAGvd/PnfVymcIK1XEasBWDhuXEJI+JKS/MklbW5fF4aYhlMpbxUzFIfIIh5ozEojQY8wVlSOapjBjwK2NP0Gg1Zfz3HyRpEIJGYC7H+xxP8h7MmlF+v1JRVOGPhbylLunzkvC4XIr4Zfh3fZ11TCbLc/r9wOneypT0fVMDDddAgPdttrGnVxmQwhJICShCPD6udseLVi5LoUCDcUyRvWwGCCgCV5Hs43CI/VIu0WNWX8d+HBziuIVCNEjr6vl+MEAyIpUnw6HuXap+CSqBiViM9xWPs73BoEWgm5rZhlKJRrfHw+v39tKwq67mmDU2cqc9Xk2xjmiUghFjYzQ8f/ckPzMyQvJ14FAZDs0q7mxKoE9O0jivVGgoFgo0BINBjm//ANvidtKYNIup5/Mch8lJeoxWdnNM3W7OHZcSwxAaDd3lOvPj0mnOsRMnec9NjSR/o6M01k+dpqE9OKjyrySNW5eLnkiTiPkCVp5PU6Oq/RehodvbS+M3ELBq15ky6P0DJC1dnWzH+Dhrm504Aex4isQ+EOC88HuVvLnLyqns6eF7DKWzwtPApiIa4d+jo7yXjMofLFdIDsuKfOWy7ONiAWhfQu+0+dw7neyfkRFV022Cc6ZYoic1onI0qxSBi0Y5t8NhAILtc7mV4V+iZ35ikhsCHg/7Y/Uqfv9XVXFNGB9n//T0cI1yuaguOD7O+dvYyPl+7Djnvqk+29NDj+bIqFnknucrFnkfTY0U+jh2nOM8PCyRz9FLNjzENbFUopBLNKyEPxSxSyZ5r5ks52dzkyq1IPg5M7e1Uub4DA+rkh7NzEs1C1AHA+ynSJhjaXrMR0b4rKRSwOaNJHcBv9qQyCrPqo/rSj7Hc7jcHAuPhx7mQoHjduQI+2xklM9KKsWxqK+zFEm9HmB5F+dtQwPXg/EkRZ1qq7mGpFLANZv5zB87wXsplixxlHPJ7Nshjlc5/u3LEm1L6HW5ZoucUm30eIC1awUKBeDd75F4xcsEtl5re84uNdxzN/C8ewSklBBCYEmrwItfZOCLXwY2bjSwZpVAba09bjauXCQSiVEA2+d4/QyAe9TfxwGsPZ/Pz0YqJalel+QXrmHQUG1r45e+x8Pd/KqYKuy8kgavaeAA9BZkczQaKxV6EsJhGoLhED0k6UlLaCQWU6IbKRWaAxrJVVHlpegnMfH5+MXv89OoGR4B8hUgpAzfoWEaS6dO06jxeHjuUonGrpQM0XG7aKSZXpDDR1nbKTfG85Yr/G0W4BWCBpesMERrMkWjZGKSYU75Ag290VH+JCeAxKEKamvoXQmF+NklS3jN0z38CQXZH7kcd9BDIWUMa4DhpHqiz8/wpo3rgd/tYN/kcjSsMxmSZgnW0BoaBG66kWGTpsBF1kuPyR+/Bvjc50mau7sp4x+LWsIPQvDchmGpcZqKmH193FFvaLAk/D1KvEWMKNKhQlzDYRqVEymGuJq76x4P58mRI5boxNAw+7+6mv1WLtOr1dRA0uR2CXg8kkIeoIeJuVIMQ4tX0QB2eyyPrpnPl8kC0FToW5nzqa6ORmN7GwvphjeTiA0NW/cWCpMQTaaUxP0YDcx4nG04cYLXKxUtr63LRYM3k7a8D7GY9UwtaaPgQkmJWrjcqg6YYF+US0DFxfPk8vRuNTRwvhsqZM4M+/UoRdJ8ge2R4JzpaOS1jh8HXAO8j86lgJQaUukKfD4+r6kJftanPDxCkBhEFBFzaJxvhaIqs5HHVP0vl4vkaGBAlY9Qz3tQzePJFMlnXS3PdaaP45FOkdxpGr3WvX3si7LyQJnF5J0OwBVgv/f1K8GPCpDM8lr79vF4ISxhkmKenp90ms9gVZTPXzpLsrZ+Lc+/ezfHxOVSGzGwPGgTSY5fLMrxPjMAdBT4rE5M8rmMRPg5h5PX6enjNYslzl9TNbKmhmTNrzZtens53i430FpNAleuWCGpqZSKLAgADXVsT3KC86qc5/FC4zFVMaWi2svx6OnjplYmy3kUCrEPNY1jUl3NsTh6lK9X13Dt8/tI8pYtpTfPrHVXLnP+1CgvezBEkaKxJM9XyLMfYjEeWykDnV08x8mTnHOFPJ/lUIAbc4kE1/uFYHvQrmIcOiTxk59ygm/ehCly9tDD9MjcdQfwgb+XaG8DXvPq57ChNuaFpgkYBvCmN0scOcpxu/tO1h751reBd/0VE1Jt2LBxYdB1B5ITNBSFoLEM8Av5dA+JTqVCwyWXA/btpaphuUSPjinNHa82i+qqwrgO1iB75DHuyNbU8ot8eFgVu03zy9/jpiFUW20VnWUuGo2Hkye5lufy/B2vIrnyeUkOnE6lCClo3BSKJJh1tTSo83lewwxhHB+nERKNKOMrrQhSRRXYzdA4zOVJooJBnisW4664x0PjNBwChkZIdjJp5sz29nIXf2KCxuvBQ1T8y+W4+376NI0xr1KOO3acxms6w3uOx1mcNhigd8ZQRlFNDclURweNLI+b16+q4g77dC9ToUDDj0WkabQVi4ABZdSmGBKWy9LgbVI7/sEAx7SQZ58WiySDA4M8Ll6ljHI1DzRBspRMqlA8D9ty4CALUzud3NE3PS6DQzSs/X56K0zPXCTMdtfWMpQvm+VngkH2idfHYtGhIInf8LAS0EhyroyOYqoMgQDnhFDhl4ZBYvro42zLKeW9jFcx5LCQpyGfTrFdkxNsq1nEWhM0gj1qXpfUvJtIcv7U1vE+02l+preH5x8ZmhmmOD7O+awJGsyhEIlFczON98kJPi+Dg5w7+Tzn66FD3KxwucRUHS4pec9P7WS7XS7O09YWzqWeXqYBDA/xPNU1JKqak9fVBEN8KxWrwHOT+r+qSpF0RUYLBWuTplLhszExqXLfCjzvmjXsbzP8Lq9yxgJ+a20YHFQFk0tq0ZHsf7N+XT5PT4/LqVQhI5wPp3p4rbFxPk9GmetGLs/z+v0kGuYznk6zduKkCusrlzluNcrzYxaodrk5Xx0OEqNYjH+n0hYZmZykB8/lIqHwexkaXFWlyJuPxD+V4sZKLKLUEh1sfyGvag2Ca1Iux/lZX89nMp3htc2oAJeTfd4/ODMsN6zIotdr5vZx3MNh3rfTxXEZGlbqnGNK7r/C9fvQIV4jGlGqscrL5nZb9RGFxmelr095RYeYnzc2znOcPMk2JSeAXTu53vb0WiG4gFWGYLpi73ywCdpVinJZ4iMfl9iymV8Wf/JGkjMpJR78DQsP/tuXJAaHgb/5awFNs70wlyocDoEbrxf40Eeo+haLCfz1/xU4fpyLwt/8rUSxaJM0GzYuBMGAhMdNYysYZAjX0WOsa2XKwCcnaPA0NwEQilh5LK+BmXeRzfHvjDI+pGHJRHs8NG7CIRo95g69RwleTEyoGjqS13j8CXqgQspD4/fxHAUVBlkoWMRCEzSwxsZoPB85QmM1HAQg6TFwuWjIl1W+S6mswuQCNJaSSStEB6Ah43LTMD1xQilORmhsmXXHshmSt0IR2Lu3MkUA3S4a+B43je9iibv1Hg/v05DAypUqrEgl4ZvE5+RJns/jY3tNouDx0FgaHCJpy6p7SWfovQqGVF5TiAIdP/8Fr2OGSobDNMSdLpVf5SIBGx2lcVUs0Yh3KTLr9fInFrWK8ebyHIvqOA3QYpF1lvw+GnOHD/M1UwzG5+e8aKgnyayrZajbww9zrEZH6VE7dQp46CFgbMxAawuN2pIisNksxQkKypAdGVO5iIJhm2a+XzrDmmZSct4ND/NHUwTKrQz4QoHXdjhIBIXyGmkAquIqBFGFiA4OW6FrpRLPW1fHeZzLcc5IyXs8fdoKDcwX+Lls1iJ3nZ2cy7mcIisVtsXtYp+YGw3ms0G1Rc6LPXtYvN2hqbA0yXkxMKg8S2GGmWUynLtuF+dDqaTCXQdpuGcU+R0ZZdjixIQiPxMMa52Y4Brg9SmPjvJEBgMs7t7YyPtxu0h8B4c4hmNj/DHzPkMhktPmJr4Wj6vaiuoZtgg5yU1LK/92OvhMCaHCU6MkxC4nPTTDIyQUpRL7wcyNLZbYD5EwjzWtOofDKh5vFrk2w6mTE/TKjo0BMFTtsZKVu+l0Anv38dkfHrU83kbFqsl2pp+vVQx6qATYVwMDgBRch4aHSSxLJbYhn+U4FAr838xRdDosj6RZoy+b5T3X1HCeBYOce9GomnfKC76sU0UJ9NIbGImQlAYDwLr1UEqOPL4qzr4xN4myWRXaXbFy2pYuo0c+EuU8y6k841xOhVNXrL4tFkjGHU7ej0n8F4JN0K5SfO8HnCCrVgB/+x6qNg4PUzL3ve/WUMgDP/4p8OG/t4pV27h0ce8ruBB87gskYq0tAps2qrwQJ3eobdiw8fTx2BMGQ4TSNK7CISbLjydVrk6ABnixpMLY1vNL2qvypExDSajdeIAGSP+AKsLcorwhfmWEOXk+p4OvjYyohHc3Q2Tqarn739RkKUgOj9Lwj0VpFIfCNBb7+mh8JZN8PxhUdaXKQEBd69pr6RXUlJfMqNCQEWC7g0ErxKy6msaq201D0u/n77FxkpmJCRp2AABBkmMWqC2VrBAol5vGiubgLvvSDobyNTbQ6E6nrXCwUtkKs8xmGc6UyQCZlPV+NEqjKzmhiFLB8rykJlkwtqaazSoq8lpTY+VjlcvsoxMnaZi1t9FYK+R5bCjA8TQ9c5rg+cyQ0GyGJMg0ngsFkq/GRiVokAMgme8Vr7J2+4sFvne6h96Jg4eYCxSJKIGXsEU+i2Vg9Sp6c31eYLCfXjOPWylegut+V6dVC6unxyqg3tigPFGK6AA0KrMZGrVZRTDP9CuCneV4di5TQiAFvtavcqI0jeMy3dPkUB5Ks0ZguczzepQ318wDa25mP/h87COfl30wOcFcRtPDdPwEvRAAxzMYAFav5jw0FTU9bs61UkkRORe90ZEww5ABK8w2ElGeISeJs9vFcTAMy7NTKvOZ9frYxrY2CsD09PIayaTKhyyT9MWivP6p07x3j8dSbTQqqj6fn20rFOiNTibZN06nRQ4qFRUanFLkIajWFr9VM9Hv5yYC1VStsGIJHh+Lcp1ZuYL3MTLC56mmmmvFxIQilyr00Kx5N55k34SCypPu5vO/eiWPHxtXoYkuttUkaOYmVFWMz2Qiwc0PU3gkk6FXLRRimKtRYRsApYAY57MQjTGXzqx9NzTINrqVoMbkJDdlTAXSqipuELWotdMMETbXJrNenssFJCe5MRKL8VpLWvne6R7l3U1ZNQOdTmtTYWKSXvVikeuXECTNL/l9ts0wKFqjOSgkEgiwnS4XN1zMjaymJpL1fJbXT02q9WAB2ATtKsTQkMQXvyzxR38I3PtKDatWkoD9x7clfvRjetGWLxf42pcEGhpscnY5wOkU+OD7Be67D/jVgyRp73m3wLHjwJZNXIxOn7a9aDZsPF2Uy8oIUonqhmEVlS0W+OU9NkrPVHKcOVZplf9TMWgEFgo0VGqqaZSEgpZSXSBA0lUsKu9aljvvq1ZaUtTZrBIGmCTh8fn4+uQEjQ23k4ZzXz/bePokDapwiIZFOEKDyO2m4RAM0GAaHqaab6kMXLOFIWmhkMpjctOIK1do1Pp9JGmmlyMet/qhqYHGTTjEhPrWFp5DGjT2PWrH2zAYwlQuqfuZoGDJ2BhfN4vQFgvs874+9m2hyDY3NwPr1lGpzz3Ne3XsGHfti0WgtdkS8whHeN3RUfapKehQFbOKYtfV0gj0uHmd8SQJTyBAY3D1KvbF8Cj7EiCpMwxLlS0Wm6aKV6bR5nIxrOrYMY5RMADAUCGTigC5nOw3pwOYGOeY1NWxr6MRhrUKwbZFI0A0KqhmWKLxaKpXhkPAkhae81CC3qDxpMp/GeffPT00DP1+FUJYxTkhFLnpaONcrY7zWkKjQdrXx3nZ0szXTGEEDZx3ba2cE2YoY7nEMZWS8ycYYLtMcuZSx+Xz7K9TpxgKawo1NNRbmwKdnRwHp5PtEoJeHY+bRrkZBtfbq8jcBAkQpBKgGOLnIxHebyFvqWc++ZQKd63nvJcVEhGjQoIzOUlSOjHBsOV8nhsJVfFpoaKq7woFEoak8nJnMmxDvfImSoPPqs/PuWbOw0SCJGRyUnnMlcdyfNzKrXS7SRrMfDyh8ZzLdQroVMfVBsMEAI3n6u0luTS9UF4PSXAwqMIbXZYqopTsT03jvIzHFfkOMJywcxmVXSMRfr5cZgmNk6eo9GkWLfd6VT6geu6uvYbjPzjItdHp5Fh5PDx3qcDPpVJcuzJZHh+Pk8x6vezTYpEqt6tWqvBKRZIB9lOxaK0n4TCfv0qZ4+71qgLUWbVZoEJ93SosfXSU9zgxQeIbi1miNKEAn8uqKt53ZyefhV272ReBwDThj5Ly7rm5Xg4MqBDODIm9IbkmOJ0UMYpEFv7OsQnaVYhPflqipQX43vdJxkoliXxe4q1vFrjnLok3/InEyKhEPG6Ts8sJ9XUC7/tbgX/6qMTp0xLRqMAbXy/w7/8BHD4i8Zd/JfHt79gkzYaNpwufx6qbVV9PA6Y6zt1/KRkmFovxi9zj5o6wz8eEdbebRr7TQUPEzBFxOrnLPzjMcENNAxoaaQRefx3Pn0zSUDN33Nvb+duvFPaWdvC6XTqNALdT7VBrNHiiMRoolTINwMlJK2xrdJTXKxZpYBw9SoNi1SpK3Y+OKeM/zL9PnaaBU1vD64+Pqx1tFXpkGMo46adXaWCAZGP9OhqqAvzc4AANvpoahgh1LlNiHBVLvj4aZV+2tNLrtG4N+61/gH1YLFBCfUmbZSQv7aCRnc3TO1jIW7W5qqt5fDrDfioU2HafnwavpvHYujoe87unaLyaoWIVg+NaLHHc1q+zyKbTodQBi0p90g801tNgPtNHMhQKc0ycLhqHHR00zGMqp6mpCfD6eV8Aid/YmDKAs2xzsQA8/EgFTif7x5Rpn5jk2IyrueLzWh6rxkbef0QRKFPIJpdnaJjfz2u3qtBHswZXWXlYm5s4v2qqOV+am0ho0mq8PV7eUyCgarf5AAiS5Ly6RjhskYtYjJ48U+hlaMgih6Eg+9L0tPb1kbA3N7FthQJw5x1ALsOQ3HCYOfT5vKq9pbHW3XiSpNTtsjx6Do05XCQ0LCQdr+K9F/LA0IAl4COl8oB7+TxMJJV8vSLwxYLleTRJfy7HuRHws09cLvZlxWAbsjl+NhxiP5llEIJBYMVy4JprrJzD2hp+PhZjX8diHFe3S4W8jrAPBwaArdcosYu4lRfm91uqioEA+yeXI0k0x09TnrNUitetlPk8ZzIqb8thjfFAP+dUKKSOyQLRqEbZ+YLVZ4ahxFQKHL+dO5UqrLDWxe5uEqlcFnB5rLBcf4D92dfHezQ9ikIALgfQf0bJ5U9az67fz+uMjpk1zjiHgkGuk2bOn8sFbLmGn7v+OiqsRqJsR20tNx7M+QWoEFON61Msxj7tXMY+aW3hen7XHRzLeBWPN72FXi+FaDSNCr3VNZY3NKQIvVFhXy4Em6BdZXjoEYlduxkH/lfvEhBC4LvfA/71CxIOh0AwqOGd7xCotsnZZYnNmwTufaXAj37MVelFL6DxcPyEwJtezyLW/3tf8TlupQ0blx/cLhpoJ0/S6O5eTm+TqVgXjdLjYIo2dHZiqthwNkcylM5Yu7teL89pSKX+GFXGfi13goeHaaSYxaGTSSV7X+Q5vD6eT++ige9wMIQmpN5j0VoarWbeVirNa0SjNBqiUZI3qYQVgkEek81xV394mIbE6CiNQbcK7XNoPC4ctkLUWKhX5RyNK8O0QiNlYIBko1wGli51oLWFRpGZXxePM5wwEmEIX6Vs5RWNjKiw0qIl8y4NGpV9ygCFZLu6uvh6QxO9BWYY30SSr1dVqXwq0BCLxYD160leR0YAoUKaigVVN6qWandxlY8SDPKeNcF7OXFSyXbnSc6dDn52ZETJzY/TcKuuZlviMd5bJMKQuaYGJcTRw347fpyEaMsm9veG9Za0eTjESIjVq4HWVppu6Qzb6fdzrOvrOTblCsd35Qpg00YV4lZLA37zZoYPwlATW1rtK5WYu2gK0rg9JN2mB8+QvOap05yXThVq5nHzGgMDSvhG5W9lMmxzKMi55PbwvmpreA6fh5sXZl5nKsVnxu1WJSoc7KvhIZW7VlblCKoAfTlzJx0ax6GtjXPZ7+O9LltKwQoJGt+GYQlpLGkBaqoFGuqB9esFli1V6QButrupgdcdH+f9xeMU9wkEFHlVIXpVcfbPqpW8x1KZ189kKIahaZYHNhggKTKl8U2hHYBz7lCCmyQmOSoULGXIYpH91tTE5zsU5Dzq72e/nzzJezM3cjramQu3YgVJgBDsE7dbeeaSlrfM6VK5cC6Oz+ZNSl0V/L+ujoQzl2euGaCUClVIa7nE467byvkqBNcDU2mzXFaqlznO5doaJdxRIIltrGfIdizG+6ur43w0N39KajNEYhoBVHmdPpV/1r2cz/vgINfm/gESSnPOBoPszxPHOXdqa5VoSZLXqKnmc9vSzMfCUKGLHWojLK68Z/39/FxtLde7J3dw3ert43ztaGfbzfBPCXrOq2KcX8UiSakZ+uj1LPyd43x6X1U2LkfkchIf/6SE0wm88fUCLS1AoSDxspdwUfjgPxp4+UvFVMijjcsTr/4DFrKenJTw+4G//HOBd75LYmkH8OY/Bf7xw3l882tUU7Nhw8biUFcnsGcvv5wjERKOJ3dYim7GNK/DwCBDWnw+JaChPGUN9TT2zLpmlQqPWdJiyUuXSirvZ5I/7UvoWUhO0Dg2c5tcLuZeuN0C/WckxR+awcKraVVrqchrVFfToOhaxnA7l0sluztJNszaaVqK3haAxj6E5c043UNDxhSS8LhIQiJhGiiVMkMPu5czAd/jpjGWnFAKhkmrrlo2qzyNARq66TR3+6tiwMpVwKGDNFK9qo+KRVWfbZzH5LxsZzCglPHAe+/r5//ZFA0t4aCXamxM5bCkrOK+miJ7jzxK48rjsbwNQtDo9HrZL5EwjfB9B0gaAwHeeyZjFQKORjm+42McJ49X1Zxq4BwZPmwJRwwNsS0Dg5ZCo5kvrGkk3YkjJMlj4xyL+jorD8npkIhFaSyauU6mF6Q6Djz4a17T7aaYTTTK8zU2sph50M++c7lp9Pb3W/27tIOvNTRw3GqWAGvXAT/8MdtYHbdCbWNVDCUcT3LuA/SKpVMkh+kU729JK+tATU6q4tpela+pVPsgeK1MlnOoupr9E4/zPszC35Dsj+//SHmbHTTAk+OcR2tXA01ruFESCnFjIa3Cy0wvsEPwfykpVjMwIBGrAjZuBLIPcYyGRznP3G7mLZU8KuRO5a51d5MEVAy278RJjk8wQMJseqUyOZKbggrjPH6c9+Lz0tMWr+JzGFBEdNdujkNdLXOmCnmeq1hSAkB+VdNObaJ0dXI9GhrmHJicJBl0qGfWDNWsinNeZnOc06aXq7VFEYcS53JLMz+3bCnvb2jQ8gyHghyXaJQbI5oGnBkw6JGtorfZpXLW6uvU32rjIxi0PGw51Sfdy60xTyY5B/rP8BgzqiAS5cZMucyx2LKZbfd6LY9kIGh5lzs6eC5zPSsU2Z5qFUJbVKGeJ04quXxF3NJZttPp4LNXW8P7HxnhdZITwD13C+zeIxEO08OXnABWdNN7aipYHj/BtcHlBMYnlPfep0SkClyve3uBw0e4VhTOsVdue9CuInz5q6x59sH307PyPz8BPv4pCadT4CtfowpPS/Nz3UobFwpNo2f0U5+WuO9+YOUKgdu2c3H9vedp+Oy/+BCLCZRKdrijDRuLRaFghYx5lTBGIMCf5iZ++YdCNJhMJUYzz8wsfhuL0UhzuLjWdi+nwVKRPN7rYahjSwvJ0JpVNAAKRRo8pqBETQ3zrkxx3UCARsnqlTSQN2+iQRAMAlCEToDnNXNSAApBJJNA2QDqapTnIkvjxVQYzGYtD41DoxFjgLW8vG4aI3/x58pQSqtC216ep7eXhKSpCbjlFnp/sjmJikGvyIYNNOZ8PkUWHTR+IEgmvD4aw12dSpwkbikqHj5CIz0YVNLedbynikrKL2RVe1Q+kBl2aO66F4s0NE0vjVvl/bhV/ogprx8O0Sjdt5+GVkc722zWVepUYhyVCo3AgSESM58KjfT7LYGN7uX0PJZKyktYy/6JqPzCUglYu4ZzYd9+kmJNY/hWVyff7+0FTp2WyGTp/fAqQuB2Azt38b4aGjgPzU2B7uUk+nU1PDYcoWfGqFgGbW0tDWAh6PmTknPQoTH/r22JyrMpWiGjqRRzjcplEi8pScqqqnhP7e3sj917gEJOERMVSusP0OMFkFiY3llTHXIyxXMmx60QQn+AJGm5zpA3nyJ5kajK/RoHQiGBQlHgxEmG6DY2kOybxcMl+Fxmc0qJUd3LE0+ocgkDPDfA95rVpseSJezXvjMkUpUKz1tTQ4KwZTOfe6+PXiCvEs4JKa/r5CRJhNAsFctKmc9wexvH6Zab2Sah8f+JlBJKCQCPPWGVTyiWOF+TEyQbzU0kYR6PlQ9VKXMOOxwci3i1pTAYDgO33AS0tws0N4spT165wufKJGweL9sdr+JrQ0NK4VLjHG9p1hCN8LxulQ+Yy3G8TLENIfgMmqHEFcMqjl4ocH5DWO2sGPSE5fPc1GlpsfIlNcVYKhWVJ6vWVkMJx6TSqlajl3MwFuFGwJl+lXPmYV89725LfEUIeq0b6q2yH9OLjEPwGd2xU1LVMsnP1dZwHTjdw7mxpE2pgqq12O/leuH1KOETP0O0b76R9+P1WkXK54NN0K4SHDkq8d3vAbfdSoM9n2f87J++UeA735X4zW+Bj3zIVmy8kvCX7xS45y5gMiXxJ2/gl8qvHjTw3vflsWOngT98jcTAoE3SbNhYDPJ5Ca+bIT3pDAlSLEbjOxgEOpZapMYwmHtghjiaRrNZNBaSx5o1htwuGhHXXkNvmsetQnAmVG6bg4ZSVRXPu3kjDY14FdsWV/lFO3fRMGhopNESDtEwMaXf83leL+CnV27pUtbxMSokaR4Pf5uKaW43jU3T8InGgLVreY1SiYaMma/kclmCCV4fDVa3h8Sjqgp44AFePxwS8HosxTSvT7VTGVulEnDNZu7up9PA3r1WLlZqkkZeMKgEBDwkLvFqgYF+9oXPz3uMxkiAHA6Sj2yGnstY1FJf87jpMQopsmDmm2Uy7IvGRiAcFsxjUZ7GM/0k15pGwYeeHl7XMFQhcUUEnS7LCC+XOY7DwyQIHR0ca9NLmUrz2JwKLR0cYr+1ttCQbqinUdjYwDDO+noNbuX9Gh3jGFWUR0AIHrdurWAJAw+NyEDAKi6cy/Le0hl+rqWFbayrY/s0cOyjMRKSdMYqJVBdY5EdU348GuE9C8G5Ew7xmkPDvAenk6Te4eBc9asNCyktsQyv8gDt30+PXEcb+7mpif06NMRnwgyhq61VHiAnPS/+gMp9A9vT0sLPF4sq90/y2S2XlTR/rYbqOMPyTijvXm0tva4mmclmeT1dt7wvbjev73DQy+Zw0FvoVR5TaVjiHpkUn5tSSeUGChaQnkyxLUI91x4PjzuU4P3Eq0iKPS6VE1hRbQPXBFPcJxbl+tPbxzEtlXmfftU/q1dzjg2P0IvZ3saNWgDYscta2xrq+duhPM5bNnEDwu1mvcG2JVyjUimGUa9erYR3vAJ1amOkpYVjVlPNOV1RIhleFYJbVcVxMsM7h4bo4YNU9RbDlkBKJGqNZTplKdqGw3y+PWojyeGkl2tJK8lSLkfSJ0HyBsG561bhq7kcwynP9JGMSYPXzBdI8P1+jsvJU7yWuZZXVdE7a3q5i0X+fvwJtnF4hOtLUxP/NzfO/CrMM17FuZI4wrXc47bCgxeCTdCuAhiGxAf/gYZ4a6vAf3yb3jS3W2DHTv790X8SqK62ydmVBL+fnrT3/p3Et/8L+Mt3Ap/4FPDFz/uxYb2GzZuAv3iXRDJpkzQbNs6FujoHHE4SGr2L4Y1jY8xZqa+jIWHmzuQLwKmTlmiAhFICi7EYtVlrJxgi0QqHabQ8/KgKzSlYJO3GG3je+joaCCbp6e2jZwRQOVAOGk1j48BvfkNjOzlB46I6TqO5rU2gtZXtOXFShS+WaaiMDJOYUCWQx9fW8GfZUst7Fgjw3GYIZSDAMLpkkvcRjQq0LaEBYhbBjlfR6G1s5OuTKZKxpR30SC1ZQsNoYpL3eOgwz1kp03h1Kg/V8CgNnqZGnnvTRnqUBgfkVJ4YQBLg89ETEQ4DN17PfnCqcK66OhqiAGvZRaIq7LPMQtlejxJoiPKYYBBY2U3DdGLC8pB2dVmy/Wbdu4Cf3kS3i8cJjUWpzYLhUH0/OUlPgd9PI/j27VSmbGyyxBGKJeA3D1nehokJMzdRTolSODSVz+hmP3W00ygdH5cYH6ex6fezb5PjvL7fbxnrtTUkmcEA+7u2hsTd7RZoqBdoa+Nc/L3nC1xzDY8JhfgMtCgSPTFJT+fatbxnh5N9nM1YpMYUc0gmeQ2z4HKxyM+4XOzDpib2qdfH9sVilgiOGdY2OEjFR7fa4IjFOIdLJc71kVGVc6kInSY4JlTYFCocWWLlCuChh+mZMkNal3WoshQqf2xoGOg9o3KuHJy/Xg/JUj5PI9wsXFwuk9Reew3vWXPQ8B8eVqF76vmJRvgM1k/LvVvazrFxuugxNwUvDMl2jY2xf0xhj3xOheK61ZzzWwWma2rY334/n60bruc8Nzc3hODYmMgrj3pDPe+tplpg5Upu3JzuUbmuyy0VR7dbhXKqfLCGenofjx5nn3QtI2lqbma7qqs5Jg4l6uF20wva0c418OgxhnSOjfH5rqslwaqvJ7k229zeJlAVA67bxmfTrDN5/CSPq6+15nV1HNA7eV8SDG0N+IGTp/l/LMbfHo8lUmJ6EruWWXURzRInN1wvEInw3OUKX2tbYuWRZbLMNxtPcoMsX2B/t7czXDKV4j2NJ/m8uN2q/uQCsAnaVYD//C+J0z3Ay17CB+LlLwVe/zqBhx6W+MjHJD78DwJLO2xydqXi3f9X4Of3A4cOMaTo458soFCQ+N2TnA9//R4Jw7BJmg0bCyGTkVN1knp7aaCUSzSUTCnp5iZ+4UdCwCteTkM3FKTIAgTJUDpDz4sQwPXbaMj6vCQdY2MMbXM4aVC++EUC7W0UMygWrdC8UIhG2qEE22buUm+91pK3j1fxdyhIwzEcptGeSqv6Tl62aWTEKrrs89KIHx0DquICx47RQK2K0Uuwdg0NfnOnWiiDsXOZQCxKA7ZYkBgeIcEaHOJrx0+oz54EVq/ScMftNIoLBYsQRpSoQkuzUpprVKFyEQpAtLTwt0lczNpuQ8O8Ti7LvjALhTudAk2N9Bw+9AgNJrMPpVRhV26S3NWree1cRhm/RRpXZmhqOkPJ+MkJ9mk4LLBurcDWa2lId3aq8FTl+epcRgMsGLTqPN16C7D9VlULKwJIKXDNFioddrQD+w9w3gT8qk6WwyJMg0O8z7FxjpM0JNxujmEwyHlTKJD8HErQWAaUR7aV51+1kgWrN24Ali4ViEToGUxOsH1bNvOYaIRGOcC8dQGOYUuzwOqVYipvJpMm8WioZ3+f6ednHRo9eNkM+3digvPJ6+GcDgTN0GABl4ukoraGJKqhnv03MMh7Od3DHLB8gWMdDAAveD7wqlcKLG3nfDIkiYChPMAOh+Xhczop5FNVRXI4MgJkMxJ1tUBjg4aBAc6v+nr2YV8f56UZ1ioEnwnDUDXNfCQ8ThdfM3PNKmU+IxMp3s/124BNG5R33MNjnU7et1mI3O2ipw0gIW1uFixkrHGOu5R3ulLm+DlVSKOpbhmJ0vDfu5fnvWYLz10qkySVywyRXrGcyqwNDczzND1F122z1rZ0mq/lcrzG0DBfMz3pfj+wfx/bO5kioe/vBzweMVWHziwwb5YVaWlhiOKo6tdymYIgJJ4ClQrXsWVL+RwIybGIhi3P1sgI502lwn598DcSlTI9VuWK5a2vq+X4nOlnu4aHeR83XG9J2QeCVhvqavlsmGqpq1ZSAdfn57OuaSRWDY1c46lQKtDawudsy2bgJS8WuP46JfykNrNal5AgejxcAwp5jrPLyXsNBjjWus61yO1e+DvHJmhXOPr7Jb70FWDNau5g/O5JuqW9XtbI+sD7+EVj48pFQ4PA//ukwK9/yy+Ux58o4bEngK9/ReD9fyfwspcwb82GDRvzI6h2Ox0avS/r1tIoiMeBvfsY6uNRO+sTkzSkBge57ppfxBPKwDJAI+DIUYb6DA1xZ3e5riTQx2gw/uCHErt2kxjm8ty9jVdZBXxdLmDjehowuSzDorJZGiWrVgn4/SSJmSyNr1KRhldI5frU1gDbttKg8nqV8aTREB0epshQXa1qnwr7cTmtfKO6OuAlLwbSaTmV5xUOM0xz1Uoah8uXW7WGYjFg1UoX6moYgnXqNEOvzfychnq2rauTBlg+rwzgCo3CeIyEw8wHcjpIBoSgQAhAI6i+XqBYlOjro0F24/U8z/g4ibDXS2Oto52EMBSk8VVXT9lvo0Kim1Wkz9wlDwRogKbTEmfOSDzyKMd4eJgGV3U1v2vzeX42m+E9NTUBa1YL9PbRmKurpzHtdgssX07xGUPS4D5xknlU7e3AnXcC3d1iKoftZS9h+JnXJ5CcsLyqSzto+JmlH4TgPGlsEBCCBvHgINvUWA+cOsUNuXzOElu5/xdWuGK9CltLp5Vohfrfo7w6qRS9PJs28Lffz/y24ycU0XZwvvYPKIn4qFUIurYGCAb5fZPJcK6sXk0S1dfHuTWhSGNLM/sll+VrZv7a8DBwx+1WSG1vr6oZFyUpAmgYZzLMdexoJ9EiMTafZwHNIXDdNvZdexuf6XVr6QW77RZ+LhRSsvhZhiTmc1Z9uEiEZKa5meF8msZ72L2Xx5s5VqYXe80aJUyh7kMT9OLkC/ToZbJW+zXN8uoOD7PfzNp0N1zP+eDxcMNgaFjV88uDJwQJitdLj3lHOz/rcZNsAHz2TJRKvJbHww38Des5v/I5PmdmrUZT0EZzqNp2QSXIkSfxD/itOohmDUIpSVYCARI+fRmv2dtHAgaoUhBNDBPXl1vzQdM4jxwOa26aIknJcYY8j4/x3Nu2si+qqqxw4f0HBcJhK/w2l+c99p3hmJvRCoYBHDygvLFRjm0hrzaMWrgBkUpJHD3Kfkil+Gzs2ElRtrQKiS4VuZmSyahQTgefAVPRMpsngczleO70NC/mXLAJ2hUMKSXe/0GJ1lbgIx8C3vtugZtupBLNyVMSr3m1wDVbbMP8akBDg8DnPs0v6ZoaDf/0UUmjyAC++BXg/l8a+MjHDNuTZsPGPHjj673YsB5wuWnM7z9Ij0ZfH7+09+2joVFdrQhDHw3d2hru8q5eJRCNULY9YObKRGn8NjTQe3LqlBU+5/WRDCST/NKPxUhyTp2moZHN0SiqqqInwpA0BDxeXreh3ioQe91WYEW3QH29mJKoF+Dxg0P0so2N07DweS0pcDOsrLGRBvPQMHfoDalCdMJAdbVGtbZRGmvXXiNw23aGkTEPiN8xUpLsaRqvC5C0NDezD5xOGk6VCo3SXI73cc0WGvHLl9OzUlvDe3O7rZAzISzD1swDMeuixWI8ds0qeuA8HhLH9etI+kzpcDNccMM6kkdTKRPgmL78JQLXXsN+MXO/li3lPU1M8DpVVfxdqdAAXLfWMsTSaVXX6wywdw+JyKGEEoho4HValUiX3kXjsVSy5onDwft/4kmqLwcVQTcNYdNr4nazDzZvokfh1Cmeo7OT5GzXbnoNl7SS0Pl9nFOxKs4Br48EF2BfSYmp3PQTp3hvAEl1c4uAx0MyUltLeXq3m2Slezk9x6OKzLtcbOOBQ8DEBL9n/H6G5Rpl3p9PeaiqqvjdZNZnKxSVp6sBGB4R2LuPHo3bbmXfORzAWJLnD6mNlKUdfL1/gM+qz8/afjW19N44nQLNTUA0ItDTw3GQBufEyCj7Ipu1Sj1kMyT39fVWKJwpEjI6Sl4UDNA70tWpxF8iVu1Cn4/e8VzeqjXX0W4JbmgaQ4PNQskul0WKTHXRV7yU/eHxCAQD3My5/no+E5GoKqAuSJwiYbMovYabbxI4eswKtTbn+3QwtJHz5Uw/x6diqILxJZ5ziqir3NRYlTYlnHTf/ZYYy9ZrgFtuEmhv4/1FI0ooJ2p57lavtsYKUF7PHK/ndLK/qqpUYe0A++rG68XUZtWSJbyu283QQrdLYNNGVT5AEbp02grJdDosQR96VAVrLDbTU1tdzTD1UBhY2c3NLb2T62bnMl5XqnVFCG6oxasoquLxsM2nTrMfQ0GWhSiWuLkwmeI8XbNK1ZQbUONaxIKwCdoVikpF4gP/IHHwEHDtFsAwxJSXJHGYO102ri5EowKf+rhAR4cDtTXA+z8ooWnAV78osGWTwJNPAp/9V5ug2bAxF6JRDct1hs2tWslcCEgaj6tW8ss/o8JjfF4Si+pqK9cGsL7EU0ooxO/jb6+Xn1/Sxr+vv54kZEW3gNsjsH4tw+tqqmmUxaJUIlvSyvM2NAgs12ks3nEbhQ/cbho2Q8PMezhzhl4fodGQ6uigRyI1SePv1ptJBJwuGjZSWuIcwQDJyHVbeT0BGrhLWvmd0twsEI3y3p/4ncR4UiIaIZlIHJZYvUqgtlZM1XoyBTPMPA69E2hpopHvdqsw0QiNqa5lVKjraBfo6mKSf8CviIdgn65aqcikZnlIhOC9HD7KsLV7XykQi3FHPRQWaGggsV25gsePJ2kcHkrw3A6N7QD4+i9+JSEljS+hCXi9VlFxn481vYoFJZ2vAUuWCKxcKej5VN6AlSs53kuUcMbt2/m93NQosHqVmPJu9J1hP+Xz/L9UEli7WmB4WKCuFti8yYmNG6yae709DOEyQ0/b20iq6qfl2sWiAo1NJoEUCIfYzmZFCj2K2A0PA3v3SXhU2CtDQ1UOe4tlpFPdTrLI+iDVSaviAvX19Oqan6+qIkkx5dWr4yQhAAl4ICCmBERMiXoBejs1jXPd7aGxWi5zzm+/VaC+TiAaFVNeKpeT7WttZfhjIECSGAiwxmA+bxZZl7jlZoZ4hkPA/gMSLhewdz+JdCTCzZLTPSTeTY3caOjqomd1SIWbApxflTLzK5ub2J+VikUwmppIMicneT6ThDjUGnHsBENflymvUigkUBUXqK0hOepcRuKldzF/dHhESdKD5zUko6IKRbbD66Oy6qqVPJe5aSGEwKteIbBhnXp4Z8GsY5jNWkqvq1eqWo+bOU4TkySvQ8NK3EYCN17vwqqVnKt1daqOYZHhulJK7N6r6peB43z3XVYZj1SKRMuE203SFgmTkJpqkFCEKBQC9u6XU3X2Wlr4XjDE/MdggKk8xZIVxhkMqJIEWc5DAeYYOhxiSuwFwtoIECARN0uk+P0Ca1aTVGoa59+p0+zbzRs53i6XwI3XUYZ/5Qr2QS7PdSEc4oYZwLZUVakC7cqDf679cJugXaH42Ccl7v8F8La3AG96gwa/X+ChRyQOJSRe/lKBW2+2PWdXIzwegX/8oA+f/TSNyf/7buYyhEL8ue9+4D++bZM0GzZmo1iUSE6QUHg8Ak3K2GXuFcPGCwXuvqczTHzft59GWalMw3R0jDv5jSr5PZOl8MX4OMPd9C4aMKUiDdEDByRcTl5Xc3BnvjqupKEDAm4313HDkCgWmJuxew8AITA5yf9Xr6Khl8vz2nW19C54PDQ0NmxgaOT4OA2HxkaSRSnZhtu2M3dq9Sqq/LY0WR6w27fz+oU8DSrTszQ4SBnstiU0kExs2kijx+9naNnIqFLQS9EAbGygweP387NCAx78LY3/vfskBgd5nq5OgaVL2Y50huerqVbeKnU9TWNoVjRCw10IttXrtdpjFtwFVL2yOAlrVu16T07yvY3rKTLQ2CCg6yRFkTDQ00cyF48rJUR1LlOAoauT5Ov0aRKQo0cp+nL7HfR8mjA9dQ4H25zL0ZirreHr69ZIHDgoceMNrNcVi2kYG7fC4F7wfEs51Azncjq562+SvFSaJL+3D3hyh8RkinPA7aY4SbFIktPVRQOfXi9Bb5CaZ2a5Bk3jZoGpGLl2NdvldgGvfBnnQG8fa0Fdfx2Jv1kvLhwGtl6rzbhvt4vEN51RRZ5jKgQtr0iWn+0vFoETJyV27OR3VEszx1dTROT0aWBsTOLUaauQcSTCTQ2zTESlbKpNCjQ1CeRynIc3XM8x9HjYB9EINwxcbpK8TIZEqKOdBDgYJAkNhUnizILpp09xE1yChN2UUncqT/SqlVaNvI524NHHVJF0NR0qFRIksyaeV+UzAfTKm+RQ05TwzxIVOl1mXqAE/wesfgGAQFDOm/OUy3FjwelkfVSPh6zI5QKiMQGfj2NQV8v7DIWAt71FYKDfQC5Hb7Ry3sHl4nOrKc/Zlk28hmFI/O4paz4WC1zLOA84z4wKSabPR8+sSeQlOC7LlrKoeEcbnzEh+GZjI9tdW8N+vm07IxWKSmxH0zjHDh9hSZNkUuUrapwnExNcN9va6f3L5qy5KQTF1jSN525uYvh3b5/l6DjTD/T2yqn8PE3w/qbfQ6UC9PWJKS+n02nlx80Hm6BdQSiXJf7srQZOnjTwk5/ywXjZSzjE9/2cSo6p1HPcSBvPOYQQ8Ps1vPnPGO7y4K+5eHzhcwL/8gmBbFZiMmWTNBs25oIZ7hWNMDyvudkytKWk0dbYSAPf6+XO+XJl9Opd3Jn2B2h41dYIJq3X0eg7fZrGglnrafUqenj6ztDA3X9QhRgaAoNDVl0goXJZHA4lIx4k4SkUmZ+zXAeWLxd48QvpOVq/XsDpZJ7W40/QE3DmDI3gsEpmb25i6FYmwzXDVBOMxugtmw4zdwOgcbVurcCBgzTezdqaN99IwmL24eZN7I/2dgGXk9dxOumla20BxpP0ANXXWgZzLkciWV8v8GdvEqiJ83yaMrRKZUtVUdPo5czlrFBBwKp7BfB+Dx/h36b385abSXQqZSVbDnrc6hvoNUulrIK/d2xXAi0+GojdOo9vXaK8o+C9VFeboYIkA729NPJM6F0Cfh9D+FauFFjRTWLn9Qrcvl3A5WJY3mOPk7yPj0vcejPJTkuLVaPqyFG2zcTQMOfN2tX0RAZDqnxAPdtdKNC4bGzghsPwiEBDvYY7btOmPJEej5giD9XVrOHXqMIKo1GBcpkEZmkHcNON9NqMjNCYb2qgOqhp1FdVkUT0nZFT59aEMuaj9GI0NvLvcsUS5qiOc0y8HqChnsY85x3/rqkmkWtsUsqHBu9tYJDjWCyxHzraOU4ul6rvNiaRL9BD1FhPYtnWJvD8e+gJzOXoQR4YYKhkNkuBmEiEz8jqVTTGDyU4f8pltnvdWrZ1YpKe2ViUc9sUxNm0gZ7JZUv5ubExRc7V85zJ8txmKKUZAuv1WhsMmQyfxyqVq6d3WceZXirHNIL2wK841ibMPEMT5TI9w+Zqdvt2psTU1XKc4tWcn698OUs4lEpAdQ3J25rVnBdj4+wXr5eka2kHPbIAn89K2WrTbbdZ8v63b1ekEMzRKpUkIhGGcDc2WKI/K1cILFlCYr1xIz9rlmZwOrl50tEBvPT3NbS0CBSL1oaCy82w31CAGyqZDO0ev19J+0dUGQaDx88mT14v17CWZs73/gGu6QDb2NZGAp3OkGSWSiTaa9eocNcon9fWVl7P4eD3wkKwCdoVgF//VuKBB1lw+vWvA379W7L2D/2DgJQSX/6qxL/8P4mPflhg8ybbc2aD2LJJw0c+JPChj0i84g8kvvbvqljjJPA/P5Z49HGbpNmwYcI0Us3Ni3iVFboIcM31+VS+02pg+y0CNTX8Qr/1FhrZ3csFdu+lMS3Bos2FInfZAwGBhgbu7mayJCi6LlCp0GhKpy2vhdstoXdNJ2hiqihxa4sKIzR4fCjI3KHDhyUSh2feU6XCay/XVajQcpKHEycpRHHsBAlRcoIGuM8nsG6NFfpnIpmkh87vZ37R6R4aQAODmCrfcvKkVSAbAEZGKJqxopv5ZSu6VU6UX6CxUWDjehp7gSCNo5YW5piY53M42L+AmWsj4PPObBcEvYJTu+Gqr0xZ8a5OYNNGMZXDVi5bxzc20uDduB7oH5DYu09idFQVrwVDLt0elbfn4+eFGo+2FuC6bWyn3iVw+20awmGBxgaGMm7cIKa8kCayOUtVbjZ8PlU3yQFICNx5hwtOJz2cN1xPz5zfb5VmMOdqcxNw950ML83lKTF/w3W8L9NwDviBG64DNm1gTpYJs88A63zhkEA0rEQY8kBNtURzC4997Alg334Jr1dgxQqBeJzfJV1dqoBxnnPtZS+Z7jmRMCQ9E/E4DfpsBlPhw6aH08xvhOAcNEVGAJKh9WtJVLdsZhjr1mtJBvUuhgo2N3PD5NhxYGSUJYYiEYFsFqitFdh2LfC/9/Hae/fRlhobYwHnaJSGeHWcz6BZoHpwmM+GIUn8AgFLAn9yAigUGVK4fh1D8ITGOV5Vxdz/QJCeNo/XVJ8UWLuG9+TxcG76/GrDJEgiu3EDSR1glero6WE7enutOnTmeDmmWfg3XMfnKxrhPJnuwQ2HgW3Xnj3u4ZApvS8x0M8afXv2MW9z7z5g2VIHfD7Orxfcw80kl5uERAh6wcYnrDl0+20avF5ed88eevinw+3hM22qrJ46zXkRiwlkMhL3/1Li0cckdu6SUwq2kQhDuqWUOHqM/ZZOS3rEYxwXs+5Yby/HYdlSEvCuLhK87m6SaJ8KOTcMztnlutU2TQOWd6s82y1U6vR6ub6v6BaorRHYtpXXl5KbDZoAek5zAywUZGj82jUaXvwi9sGSJQvb484F37VxySKblfj1b4C772IctWFwR+6jH+eu5+c/yy+dv/9Hif0H+f/0nV4bNgAaJ2/+E+CLX5F44ncSP/4J8Kd/IhDwS/zt+yRe9xqJP7jX3sexcelC1/UqAP8JoA3ASQAvTyQS47OO0dUxJjoA/F0ikfikruvvB/BGAMpkxd8kEomfzr6OufNrqDC2nj4gnQVqpr3vUcIVk5PAk0+xVpUpmw2QsISCpggAPVg11UBHh4ZikZLm0SjX8FKZ9bMAetyWLKFHYniERKevj6TQ4aDBcOQod7qdSoyhtRXI5QTW3i3QP2Dg5Ekaqn1nrHvy+QS6lzNvLJuhdyAWk6q+G9u2YgU9LMPDEpWKRE2N5VEx0dTE+1qyhDvJAgzP83joGQyHmFTvdKn8FVAg5PARiXyehlFPD8sEAOyvY8eBUz30YgSDwKGExMAAUFUlYSbSmARV00hGyhWB3l45lVeVyQB330nvIUDjTBqWUIJhAINDEk2NAtmcKigN4LZbBfYfkHBoAlVVAm1lib5eGoPhEI3cI0clhodp2JlKhWax6lR67u/aY8dZrqGvD2htmbmublxPj97I6LQXp3mx7rzDOueJkxJDQzTwh4aY77hnL3DbrfTY+Pw8Lp2m92f5cksNczxJOfi1a7iZm0optcMRGudmEel1a+kN2LMXM8Z721bg+z8AKiWrILPTJRAOSeVVEFi7WqKnV6C5SaJzmcC73inxn98lCZXgJsatN6uNiHHAoby5e/dxbpt1+3r6eO8tzRKDQzPJg4lUSqCoRDSefArYuF6ipxdTHhkhJJwOzsVAgIS0WJQYHDSwtIPho9/4FnM3n9pl5Xi1tnIsxpMktEODbHttLT3TmqCyaVMTsG4NcGbQKhVx6jTgdEkUSzTeh4cl7rlLIJVWBbyHJEolEruDh6aGGQDnZqHAZz/gByINDMM0pNoEENZchmDf7N1H759Z9sBUHZ3eX6YoWEszpsIXc3le76brBSS4ERMKWZ/JZNVmjzpXW5vlWbpmC6Nt2McC1TVAVxc3jrbfyrm9epXAqdMSkNYcMn/ncmd7qcolyui73QIOh0T7tPb7fOyvPXvpnS0r73a5rLx/QmDjBomduwSWtJJ419YCO3ZK1NeRhA0MWPcnhFBKsBITk8CRIwxXra4WqK4GnnqKz4X5PJRKwMOPCKxdKzE0xDk3MSGwaqX1cBSLEj4f1+9ikc+P0Oh5nUjOvNfVq8SUl3o+2JbXZYaBAauw8OO/kygUJNavE2hpBt7ydonJCeBNb+BD+pZ3cFH7/GdscmZjfrzohQL33M0wiz9+HfClL0t89es0+r70FWDXbtuTZuOSxl8D+GUikegE8Ev1/wwkiHWJRGIdgI0AsgC+P+2QT5jvz0XOAKsUhWn0RMIMxzNzLJJJ5nz4fCovRmN40Pg4Q9MAkpWVK/h79SqJ5iYNS5cKJA5TgGJikgbf6lU83uelsZXNkJANDNIQM/MXTIISCglsWK/B6bSMt5oaErhfPiAxNMjQrnBo5vdAPi8xOEQ5/VKZoXPLOhgOVx2nEZdMApOTErv2WEbRbPj9DPccGwWaGhiGNKnCu6qqBDo7GarX3mZdv79fMocoytpaJeW9AniP6TS9gXdsB266gd4HM8zRxHSjr1OFT5pkmO3ieU2j1vQomJ634WGGdpqoitFDsWXzzO/MWAy45Rb2d3c3I1FiMYYF6rrAHbdriESoDDeeBKrjc6+ZtTXMW9l/kN/l01FVZQl5mXBP81QWCvQgZDISqZTE0g6Ss/XraHzn88C3vwNs3iSwZRNv1OGw8pBCIV7f5aIoSzRKQzYcBnbsIoGZ3reBgJjKn5qOjnaBe1/JMM6xcXoEa2skxqZtidTW0kvYvZwhj+MTJEctzcDBg+xzh0NAgGNvGBKZDEMob72FIb+lMqa8LU1NAqtWWvN9OjTNKoEBcI4ODbNWHEAvY7nM+167BmhstAxjh4PhieEQMDbB/px+n21L2P58jpskZm7k9NzFpR0C9z8AuNSz73IB27ZZuaJ1tXy23W4+y263Cnk1qJwZDnFjB1DiERWSy7Yl9NAvW6rqqDkw9XwD9BqawhVLWlWBZnXN+no+b2buIEDP1/g4ph4aUxwH4OaJmd85PUS2qZHPrFloOxplZMCmDSyW3nfGmDp2/wGSp9ljs2I5/7aeVf6xvIs/Zh6refzwCInOxvUM852OWIxhmJEodRRaWzgmp3r4fjgksGUT1zoTbW305mazXKOms2Gz7EI0wrEolYBQUKK+juJM0z185tyTkpEGfX0kjNMxnlTKqkGu0ak0iXw4xPObMPtiZAQLwiZolwnMnYovf1Vixy5+Ib7/bzV4PNx5esdfyik1q3vu4kLxypcJfPJjdOXbsLEQ/uxNAtu2Ad/6NvAvn6Ai0YFDwOtfCzz6mMQH/sE45zls2HiO8EIAX1N/fw3Ai85x/HYAxxKJxKmnczHzy1VKEiNzfZ1M0QDK5/klvXoVw3Sm70hPTgK/e0pMhXUBFKUw8zzq63jeeFzDrTezmOrWa2l4lYrMr2ht5g7zim4xZexMxzWbqdgXiwpUVwt4vDQYjh6VeGrHTFLQ0gzcejN3g0MhGmAHDjEk0u+jUTKZoqFxLpTLJB/f+wHLuDQ2zvQGPfSInJF3lc3RA5HNSvh9NPRdLmWQNzKcK5UCTvcqxbMKsHmzwEt/3zJbpnvQ5oIpzDH7eO804rNpI68ZCjJMTnPMzCkEKETyuycFJiasvCDz/CZcbgCgZ2T669PhdHIsb9hGY3M2amssUYEbr6fRbcLtxlTh7cYGDUUlWFEsMR/G42Ve06OPS0xOsuGhkJjK+xsaomcnmRQ43cPXvF4a/2afzCdaMH2aCSHg9QjmTTlJ5DraxRTJAEgmx8clVq5grqPXwzm+aSNwx+1iKkdqymgH+1rTKKxz7LjV99Eo79sUfTm7cSTzq1da5zRJW2MDw3xNRdOxcT6TUyGbYWBkVKBYAHY8xSLJs++7rpbqm3fcBmzcIBAIiCkia86npR3cFHc5+Vz7vMzNq4qRcDicArv3sL+LRZJTsxyEP4CpnE5TwTIW5bVXryJBKhZJ3Px+gZtv5LGhIL2uo2MkvOPj9FC3tMw9/269WaCmxlJ2nL6REa+aez6aWLOGnsMDB+l1fXIHlQ4DfpYOASiu8fKXzpxD+Ty9gebYTseuvdyomA6Xi14tTQNqagS2bLYGPJcDfvMQYFQkxkYlfvNbRigsaQW2bDQ/z/4YT85c55wugU0bBQYGrdqGAIlZuaxUN71UVzXbeft2rrFT53BSKXf3Hm6UrVltiQiZ0Ds57iPD7C+vh1ELNTXWcwZMm/fnYGA2QbsMsHuPxFv/nBPu3X81U4Exm2U89bZruOP06lcDf/oWTobtt4oZOy42bMwHIQTe8VaBdWuB//PXjFf/zn8I/MGrNDQ3U7xg/wHu3NqwcYmhLpFI9AOA+l17juNfCeBbs157q67re3Rd/7Ku6/OaKitXWAqGNTWYMk5MlIo0wEZGWcS0oZ5rsWXo09hsbQHyea7NZv2yUkliZMTaJXc4uH47nVQ1jESpljg6RkGo+RAOz1zzr9/GnJ3qODfwbr3Zek8IhvAVCiQeN9+oxAFuoLHftkQV6w2ax/N3bY2lMGiicxnztqpiNIa7OgVuuG6mgTV9R3pph5gS0qgYzPEy5dxNVbVyhR6ORx8HDh0GfvvQTAGj6SIpAL1s03e1C0WrMC/A8MpggHlJ7Cvg2HFKdyeTNPRneOjU+WNReiQiESvkCaCH58br+ffICElnJksFw7kwmQLuvEPA4RRzKup5PJZRSHGOmWO5tIOezVye3r/RMeb2rVpFAYbmJuC6rWKGR8mEmTtXmWYoJg5b5Hsyxf5aDHbsItGMRRiu99gTDIVdqvo+lea47d4jISVDSGtqSLhPnrJEW6ZyGcXMvKnqapKhFd18HlZ0C1y/TeC1f3S2PWN6Rc2NEKdTiYQUeZ10FoCgsE33cno+zWuxuLDEnn2c6/fcDazsnnn+5ISSxfdpUzX94nGSv9tvI+lMp83NBt5LqSQxMSlwMMHX9u6TKnfU7GuJXI737HFbnunxpFVPze2x5lo0ynw6AFObGE4nywzU1dL2a1tCAhuvEnA4zu6nI0ck8nk5RcxMwTgqwnINWrua154Nj1sgFuP88/u4HqxbS0/k9PDto0dn5pmGQ9a4GrP2eGurZz5LPi8QiVKxdi67NRDgurRtK3MMW1oENm/kuPYPqP4bJ7kv5Gd+1jxbdZxjZ6K+HrjmGo6l08lnd3p+42y0NAusXUNRozP9Z29cmZ7S5mb+fdt2ErljxymOY6J7OefNuaxzOwftEsZ7/s7Aq18lsHoV8KmPmfHU1pA+8qjEP31U4i/fKfHDHwPveBuwZpWGf/mEnPMBtWFjIQgh8JfvBP7l/0m86c0S//xhgY4O4K47BNIZiXe+i7vDf/52iefdbZN/GxcPuq7/AkD9HG+95zzP4wbwAgDvnvby5wB8ELSNPgjgYwD+ePZnNU2D3mVtsZsJ/SZ83iICQQOhkEBLi0BzkwOnTldQqZTh9TkRCrnRuUxieERiz94iGuqdCIWcqK6uoO+MxMoVDqTSBcSrNIRCM633xsYSBgfLcLkdaG+XqKpynxUOtxCGRyqIxSqIRl1wOgV8Xlrifr/GNsRzyGQqKFf8cLkFUqkKNm3Q8IMfFRAOuVFfr8HnLSEcdsHlErj+urOvsWqlgZOniggENbS3u3HiRAVCSIRCzqn+8fs1OBwOhEIhHDteQesSDeGQQKEgccvNZTQ1OSGEwPBIBX6/gdbmCsIh4NZb3PD7y2hp1uD1agiFaJWXShI+bwnBoAOhkAPLdSCbLWNwkNbgym4SErM/N25gWx9/ogyf10AsZqBYBPx+Jxobyqiv11Bf50IwKBCLltDY6ERoWlio0ykRDhsIhRy4+06pimWbXj8DPb1l1FZX0L3cjVDobDfG1mvZ5l/8soSaGieamxa/R14qSTz8SAnbtjoxOCTR0hxEpVLCli1ujI4aGB5RVqnwIxg820hf2lFBKq28a1IiFHJj88YiRkYMhEMOxOMaQkEx1bcA4PXKqXGfPt+q4yVUDMAfEGhtdWBwqIyGBoHWFgccDoFCwYDTyeuFw25MTFRQFatg40YnDhyooFzm9QyD5w+FNESjFZTLJBA1NU6Mjwss160+nO6Jng4JiVi0jPp6F+65i+Td5y1hbMyAy6lBE4Dby1pj7W0uhEIUT9O0CoQIwestobamjFRaw9FjGgIBa774/WVooohi2T01jwFgyyYD/f1F3Hi9B4GAwPh4Fk2NDkiUsaLbiXjcBb3LgDQqaGlxYMfOIvx+NyIRJ669xmB9uvYClna48OijRTidGkIhL/QuibpaCZ9PYGTEwPCIRGcnrzvdM8W1xolQSIOmldDRXkF9gwurV5Xh82sIhc5O1ktOFNRnBcJhge5uFxobDTidVAgVAjh6rIL6egcCgbPXlvXrKjh5soI773BhYIC1DssVDeWyF6GQG5OTZRw8VMLy5RpCIc/UmLW1SezcVcHQkDHVrz5vETXVVEU123r3Xazf+8ADObVGeKaOBRg1kM1qiMU0hELAypCAYUi4XAWUy1wziyUDPm8ZQdU35uf9foFQyIU3vv7s+ZPJGFjSKhCJVvDUk2Vksi60ts7jAlfHR6MC6cMVdHY64PdZfVVfX4LXK7FuLe2jzmUaCkUBtyuHYMg1Y1zicaCnpzLXJaZgE7RLDInDEkeOAM9/nsArXibQ2spchumLk2FI/Ps3gW/9p8QfvxZ4/wfNEAFOlOnqPDZsnA80TeAdb2NS9JvfLvF37+GO1b0vF2isN/D+DwJf/RpDbf/gXokXvWBmnLsNG88GEonEbfO9p+v6oK7rDYlEol/X9QYAQ/MdC+BuADsSicTgtHNP/a3r+r8B+PFcHzQMA6kF6pSEwwzhy2bpzVixnJ6pYkkilysjlSpgaEhiz14glZaIhItIpQSiERb7zeUElrQaGB0DUqmZcn4etwGnm/V/olEgk1mkq0MhXiWRzUn09OaVB4aGbC5HkYVKxUBDPeD3ZTCZkkhnJFJpgY52iVishGyWpCyfL0zVMZqNgQGJbJZewFSqgFyeZV1SKa4PubxU0tZOpFIpVMoSO3fSMxAICOidEpOTXIPiVRKxKPCrBykMcvJkAf1ngFUrALdLm9r9r1Qkcnl6/8zrZLNyqgBuoSDhdp3dn+GQRKHAcMHaGiCbLSISZd+OjOQhpUBzs0SpaJ0XYC7e8DCQahaYmJCqvh3fz2QkymWppNWLSKXmJ19br6VHZfq5F4P2NvZhW2sA6XQa1XGgv7+AbJYhapOTwMOPpLBlk5hBLAFgaFhiYoJhrbx2AV6vREcHPasmoZs9xbdtlchkZvbfyCjnekO9mJJ7f+QRiZ1+ehozGbbTkLxORo2Jy2kpFaZS1ljl8xKGQS9LMADs3VvAsqViUf2TzUiMJ4HBwRz8fqZ85PLqucsLpNMS4ZBQczMP029hGB5ks1l0dQJCkzh5kpsuwaCYmi+5nESxJJHJlGaMp98v4fVKnOkvor5OoHOZgVyuRA/OsTIymTyGhkgEh4eZr1qplJFKCYSCnK9ut4HJiSJamhmemkrRreh20ytVUKJBc/VBZ6dEMMD3xsYMHD8BhEMF7N5Lz2MqdfZDev11Eg88yDmfywOpVB6apoRt1CVOnJRK7Obsa5pj9duH8hgZZXTA0qVBuN15pFIFdC8HDh8xMDoKpFIz16dAQKprqn7Ns66f3w8s12c+J01NBgRKU+cw16pkUqK3j/XIBvolaus416JRiWVL1TzLqPUgO3PdcTgwZ58AQG8flUSPHJHweIGqWHHBebdrt8TKFQwLPX5sphJj93L28dFjEk0NwIkTDKvs7paojpfOWhMyWQlgliTuNNghjpcApJT43ZNUyHI6rRCENavFVM2d6dh/APj5LyRe9UrgM5/lF8xXvijwgufbhrKNC4cQ3Bx4798IfPAfJb7wRQOVisRNN2r4xD8LvOaPGE7xgx8Br3iVxH9/T6JUskMfbTxn+BGA16i/XwPghwscey9mhTcqUmfixQD2PZ1GLFtKA18IhkXt3c9wO8+sULalS4GX/j7rkQFWKGOlItHXP3fYy8AgRXyam4GndogFQxzngqYJvOD52hSZCM4KWczlGZZXKtGYbWkW6DtDIYnFeuqExmLFr3sNj29pplDEfGhoYC6S08mQzYcfZXgowJyaHTv5d77A8MG+fua/zBXiOB3t7VYttHLp7JIAAGvXrV8nMDoqsWevdb5w2BLVGB8/WxTF6bTCVZ94Eti5y3ovmeTY3XITJd4XgsOx+H6dDp+P4WipNI3KoRG2s6OdohNbr6VxPUdqIjqXUVCksZGhoABzotJpnFV+YTrma6cpsDKe5HyfHtrmdpMwmh8129PbK/HkU2fPXQG2Y2hYyePrFBpZDGbnVE0J5wSZw9etkyiOJ602GobVhngcKJcFXvQChvua6o/T2+2e5crQNHqhxpUwisvN61ZXM/eoXCYBratjLbvaOsxQ+wM414NB4K47BW6+8ex79XqYOzoX6mqt+RON8dpmDtl8+Y+/elAip7QMpgtzzMZ8xazNT/j9nG+rVgqMj3NDwkSlMnMezIebbmCOrlk70USxKOHQMOe6EQiQkGmC92zWHOw7I7FzlpDZ7E/P9TyYCIdZe82smTbf/Zu4bhtDS/vOnH1ec5OjrpYhkAcOSuRyEoYxd9jpuZYA24P2HEJK7rb6/fSGNdQLLO1gLZC5sHsPj6+vB+IxKuytXw98/KPzL6I2bDxdXL9N4Iv/Crz3fRI7dkr81f9h3Pm6tQKdyyR++xAXxW98S8LrE3je3ZzTcwkX2LDxLOLDAL6j6/rrAZwG8DIA0HW9EcAXE4nEPep/P4DbAfzJrM9/RNf1dWCI48k53l8U/H7WInM6JerqmLwejXAzI64M9mCQXqtYdI4va41CGNPzMkzU1NDgLJctue0LwdZrBO7/pWXULGlVhZlLTLQ3H+H5RCPmQjQCPPIIYJQlVq2aew2YLit9KCGVFD8JZ0uzpdpXU8PwqIFBgWu2MK+uUJBoqJdT4iqAGfI/0zgLhwQ6OiSGR3gfExPzt9npxIx6ZJOTVoHp7uVn34PbjXm/n9vb2ea9+1kw99nAUzspDJFOUyAhEmJNp9M9gM8vcew4sGL53GuwyyWmFEhNErN6lcDDj0j0nbFI22IhNPataXqsXAHEFTEOBgVWrpBTfW+2pqnJKrMATMtLElZe2vr1AoU8cPiInBI4WQher4DbJafuyeFQ9QldHNvRLM9x840CgYB5/wJr1jjh9wuUShKrV1L4IhphMeOpexQk+Od6DpqbBMZGJXxebmp4PLzPrk6S0v0HgFUr5QxVwlCIz/J8ESilEknruZDNsN3m5sZ8a0O5wudvtvLgoqGaqXcJnDxFD9iKbm3GJsaa1SwOPxuz2+R2C1RXyxmKkQDXHp9fzLmpUixK7NpN4aRy2dp48fumbTiZTZ3VpQuZJNJgTvCKbg33/1Li6FGWpTgXvF6S8flQU0MBGoeD61OpfPYx8xFwEzZBew7xX/8NnDwl8cH3C3z8o/M7MwsFFpv+/g+Bd/0FkD1Bla1bbwH+9m+e3k6cDRuLQVOTwBc+B/z7N4E3/ZnEH9wL/MG93HV84kl6B/7iz1nkcsdOA1/7d+CTH4NN0mxcNCQSiVFQmXH262cA3DPt/yyA+BzHvfqZbE8+zy99j5t1d7o6xZQE/OQkE9qXLDn7c0Kwxs6xo2e/196mlPo8Arfc9Mw9X9MLGvs8mIrYEIJGbmvL4q8TDgv0D0ik0hStOBfq6ygEcu01Eh6PQHWcUSQOB70YHg/J7r99SeLeV0gUizRo54oqmV1PyDwiGJwpijEbkYhAY4PlKWtbsvAOOoUZ5n/PNOSfreVv3Rp60LZtdeFQQsDpkhgcBPw+iaWKILIm1OLPqT1Nsh/wm7Ln/D8SFahTXq9CQeLECav+nEmMzILqJuYqqPyLX0rE48D6dYu7iXKZ9camy7iXyhIuJ+dwPE4imMszlNBEUyNDZV0uHt/UeDb5zudJaOYyxN1u6766OgV2pBgBFa/ifDTJldC4iXD8uKXQafbJQnWwamqsQuwLQYLqlGZoqnOe8bz1ZoFf//bcBM0kyrMxfU6l0yT5oZCYsUYsWzr3mNXVAsFrZr72uyfPFg4BWLZkrmfQ6WQbfD6BI0dYGuD27ZTUb2s9u43ztX02CkVTHITKqYvd/AqHWdOuq3POK6K+jmJRLpfAujVzq2TOLnsyG3aI40VGPi/x9ncamExJ/N7zgHe+feEBqlQk3vRnLEQYjXKif/NbnMTvfbdNzmw8+3C5BP74tQKf/4zAI49K/MFrJPbvBz7zKaof/b/PAKd7JP7xw8Ab/phfkD+/X2Jg0A57tHF1YdlS5rG0tQGHjwIjY8BDj0okDvNZ8HrprZoPsaiY05pwOgU8bqEM3Gd+zc/ngeMn+X0D0EgplVnE+XywapVA57K527e0QxXJVYhGmY/kctHI3rl7pvS3iUCAxKxcocx3obD4NjU2sp7VfOjvl/jdtJC7YHDxObXBwNkhWm43ifmzRdAo0c6/I2ES0VKZxnw6Q+NanKdN8HRNiOo4jVSTXE0/T6XCItOPPsa+DYfFnGF1piGuaSRuAT/Hu7V5ZimExWB2uOt4koZ3uUT1ULd7/nudmGBY7GzC5PdTSt7hONtUXtI6U7ikvp7etw3rxVQ+nVkaoLkR6Oqa+fmaaoHQAoqBi0UwwHasXMF7mNeDpjYhzrW54/Uu+DYAhjdOl6A/F4QQZ6kjrlllRRaYqFS48TsXcXU4qKAI0Fu9VRG+TEZi335+QNM4b2Zvoix0y36/Jb0/MWF5Is+Fvj5L3XY2DIPzraUJ2LCez+dc6/a51jLbg3aR8NQOFivctJFFHn1eSy51LoyMSjz8sMTJUxRs+McP0q38t+8DluvA3/z13DGtNmw8W+joEPjXzwC/ehD4/BclvvWfwGteDbzwBUB7m4a/e6+BFd0CP/1fA7v2AP/8CeBVrwTufQVmxPXbsHGloqGBuWXZLGW0Dx+hEdKsah5pDsqZNzTM/XnKuZ/9ernCn2ca0z1oyaT1v8cj0NIskU5zU/B8MJ+B2Nw0873deyTqaknUpJTQu84O9woEBNraSHoCfmDNajnDA3Ou+/K4Se7mw/XXkeRMzq/9Mi+2Xnv2muZwCNx4w/mfa7E4cIgGdCzG8L3OTpLeU6ckBoeAwSGryPli0dBgFV9fLJoa6bEJBtjXXg+mcioBS9L/nDri5mGqbtn121g6YHSMxarPlQ/EawkIyBlGeEsza/KVShYxma/IOkDCcf8v5VkhjmtWc27Ohf5+zCjk3T9Aj/B120gUHA4a6oEAJeHrZuXULWm98FBlgPMh4ANSaYH6+vnP6fOdO4x1ody0Z3rTQeLs8Z3ebybhXr9uZq4nQCJnhgzedKOYynsLBoEtmxe2rWeDIef8+9RpetHnCjOfjbq6szdoTBgGEI8LBIMUy5lPgfRcdpFN0J5FVCqMPV6zmrtbJrZeM/+gpNMSn/s3iR8rHbHbtwN/+iaBAweBd78XeP7zgDf+se05s/HcQNMEtt8K3HgD8KMfU5Lf4wXufbmBn/6Mc76jA/jDVwn8/oskPvVpiZ/+DHj7W/jFZYc+2rgakM0xN4Q5TmJKtjqTJhG6VGA+jv0DNIrN75VyWaKnlx7B88GK7rm9YAAFPlYst3a3a2uAo8ehjEpKZpshjiayWdZHW7aU4gPJJKZqUS0GgcD8RawBoKOdb+7ec3l4+6/ZYuXIDY8ABw9xDJsaKQJSW0OyeT6Gf2uLQGvL+bWj7wzHoaGBio35AueMVcNPHXiObnW5BK7bSvVOp1Ogqoq5RcdPzB3KOheklJCYSSCW6wLtbaZ3lp4lj2dhIrp5oxWyOB3zfWelMxRoMUPXXC6LmEqpik4LXn+6/Wfi5Cnmts1nvC8W4ZBATa1VQH2+sRdCzAixPF8809/cvX04SxFW08SMOo2AqZI6cyL19AInTqoQx+j09QJ45DGctcm10BqgaVb9v82bFn+XpRLrm80mvc1N9C5nMhIHDnJerFu76NPOgE3QngXkcpxM+QLwqU9LfPbTwE03nHvgd+2W+Ov3UAjkphtJzBobgP/6LvDFr0i8420Cz7vbNnBtPPdwuQRe8mLghb8HPPhr4Jvfkhgd487lz+/nF2JDg0B9ncSLXyTwz59QOZTvnLnTasPGlYhkEhgcZKjjdKMwEgGWLcIrMBse9zNvIE3HxOTMcB2TZM0R2bUgPB6LQMzG9ltmillVV1tqh+WyxJGjJBrTDUynk2pttTU0aHt7F+chMp0e+QIWJAnHj0scO3F20e1LFdNzVlxO5jhuWA8US5T993oFGuqf/YiFZUutgr8mKZmeT+RwCDTUyxlFv+eD3y9mKHNWVQmMjcsZhG8hCCFww3XyLO+r2QduNxaVy+V00ptyPt7E/DTFwuYmYNtW63+fjwRt3j1Jcf6ey7ng9zN8uLaGOU/PhFfuYoBiI4s/frpwyNKOuXPpAgES/tk4V4jj08Hg4Nzh6qa40NAQi25fyNpiE7RnEObu34c+IrH1WoG77xT40hcWXmCGhg189ONZ5LIGVqwQeNnvAy99iUAkIjAyIvHu97I+x2c+ZSWa27BxqcDpFLhtO7D9VmDPXuDHP5E4eAj41a8lXvUKGlPbrmVtpNFRfglmsxLlyrkTZG3YuFzR0sz8TI/HknwHuGPcd8Yybs8Hz4aPxzRcnE4x505+dfXZry2EnbtYH2nVyrPfmx31sWcvhUKaVOjjhnU4K3zR7Ra48w7LE3HtLKGB+WAStJbmhaNN2tsp2DI4BKQWoZh3KcHlZtsb6meq/V0MstneZvWpxzN3WO5sWfmFMF2Ov1iUGB2lMM5iYap/XggefZwhclsXOceAmTlt5bLA4JBVU858Bqqrz/boALy/Z4JMpdL05GSzDEe+EC/ZgniGv6497rNz0ObDdVtn5sYJMXcpCWDxnlcTyeTT82J2tM/tcTXxTAQL2QTtGcKevRL/+gWJz35a4G/+SpxzwThy1MD//Bj46c8Ar6eMv/8AJcwB1sP54f9IfO7zEttvoVLjXJXdbdi4VCAEE/7XrhF4x9skfvFL4L/+W+LoMeDTn6UR8YH3c0H75a8kduwE3vdee07buDIx3YMx3QgrFq2E9PM936aNzzxFM1t5/baZifmmcXG+xg6w+BDOrs6Zu+IDgwx/nN5f+bzEbx+mKNb0dk1HUyPJ8HSY3pxzpQIIIeBw8POzz3GpIznOsLbEYZKhu+4EDhyYWTbgucQvH2BeYfMiQlKnh6DlC/RqXOwc+5tuOD/CVBVjPS4TDgdD2xaLnh7mMF2oF83p4LVraxZfO+7p4JnOThhPsu7dYvB01qHpWIiAzSXpvxgMDQPuiflVMc3+Cofnfn8xsAnaBUBKifd9QOINrxPoXg68590ckfnI2WTKwJe/Ajz2BBfXm24C/vUzAuvXhZFKpSClxGNPAJ/7VwnDoDDIhvW2EWvj8kIwKPCiFwIveqHAkSMSX/8Gjaw3vw3YsF4iGAD+8s+pYPSev5P4vecJ3HC9XcvPxpWPqiqrZs/5Yq7aaRcKpzIOZ4fEWXLhT6Ou4SIPD83yoE+mzjYCXS5g0wYaObfePLfRPpea3OWRUXbhGB0Fwsr4rI4LFIrMHTzfmmbPBgwJHEywuPq5YEnkU3BkIfn5Zwtj4wDkzDptCyEWnRnOG4+L8/KMz86/eroIBul9jj4L68OziWjEypt7NnHLTQsT73Do6ZWaSCaZ9zkf/H5g1YoLS+mwCdrTwGOPSwwPA7/3fIF77uIuiss1dwKmYUg8/KjEl78CHD3GL7677wTe/lbLyyalxKOPS3zzP7i4vuF1AnffhWdFTtmGjYuJzk6BD/5/LDL74G8k/ufHwCOPAr94APB5JW68EfjM5yS+/DXgdX9E8RGbqNm4UuF2i0Up010MbL1mfm+LpglsWP/0zjuf9PRCEELMGVrmcAg4nNywPB+PSiQM6HPWJ7py0NwMvOgFM+sredwLF8+9mNC7Fi9ZPp2Yl8uYUuW7mCgWz6/kwMjohQl83HzTM/M9t1BtvmcSz4aK43yCQs8kzmVHx+NP78a6OhcOcfT7mRc6Oiqf9jVsgrZITE5KfOe7Eq9/3cyH4dp5FBkPHzbw1A6guxv42CcoEfyudwLPu8eqh5DJSPzqQeC/v5/GZEriFS8V+L3nU/XLho0rCR6PwJ23C9x5O2umff0bDIO8/xfcsBgeAf75ExKf/zfgFS8D7rj9wsMabNiwMT9m1yV6JrBhHXOjnimUyxKPPwFcu+X8jGFNE2hdoN7clQBNE8jlgZ69wKaNfK1cWVhO/mLifIqczzb+LwbhmI3zaS9AYZ2h4cUJkFwJcD3DbCGZZJ26yxUDg8yhnS9EcmJCYt8BKtc+XdgE7Rz42c8llutU6KlUuMuyXJ8jpEJKlErAD38k8YsHWFCzqxPYskXge9+ZKV/82OMSP/u5xEMP85jXvsaL67bmbY+ZjasCrS0C7323wP/5C4lf/wb49nckjp9gyENvH/Dpz0oMDABveD1w4gSwbJktz2/DxuWAp7tTPB+cToFbblqcmt/ViELBUsIE6EE7X+XNSwLTQhz9frFg6NilgqoYDfSrBY2NVKF9plBby1p6lysWW6h7IS/buWATtDlw7DgLRG+/RSCdpvSq0ynwJ29k0ULDIBl74FfAwUMSu3ZzN6BSAZYuBV7+MoEN6yRiMa6UuZzEk09JPPyIxMOPMm75rjsF3vh6oKlRIBRyI5V6Dnz6Nmw8h/B4BO64HbjjdhZh/5+fSPzgh4wJz+aB975fYscOFg5d1iGxbj2wfu3laH3YsGHj6eL0aaC5+WwZdRssqjs9TOy6bZdnH12OUe0bN1yGjb4ACCGedv7sXDAqrCV2pSISEbj5RnleRbNn46okaMWixC8fACoGFze3G7jhOhbdbW8HzvSzxoHPC7z09wW+/FWJf/2CgdFRFvT8xD8LxGISX/8mpgjczTfyWF1nguvxEwL3/0LiiSepWNfSQqnQD/+DwIpu2yNgw8Z0tC0ReNubBf7kDRK/+S3w/R+yyPs1m7mIf/u/gC99FWhsNLBhHfMvXvh7QChkEzYbNq5kHDtBqfJLJXfvUsLgEIslr13zXLfkwmCbQ1cfxpNA8QomaAAuiJwBVylBK5cp9e10AqdOA+1LgDtuE5ASOHKUylHV1Vai6opuhmUFgxIeD7ByBfAX/wdobQHuvENg3RqJk6cEntoJ/Pt/SOzaxQTI9euAbVsF3vUXQH2dvQLZsHEuuN2sq3bbdoGeXokf/0Tixz+lmMHddwFHjgD79gM/+znwr18AImEDb38rjzcMCZfLJmw2bFxJuH27/d05HxobLp8i2wvBJmhXH6rjF0fF8XLGVUPQhoYkDh8Frt8m8N/fZyHRd7xNwyOPSlUwUEzJ5E9HJsOiurdtF/jZz4Enn5SQErhuG43FL39FoqcHaGqS6O4G1q8TeO0fsdK5rUZnw8bTR0uzwJ/9icAbXy+xew/wwK8YeuzzAS9+IXDoMMV3QiHgZa+UmEwBDQ0GqmLAmjXAvS8H/H6bsNmwYePKhNMpzirufTnCJmhXH3I5IDnxXLfi0sYV8GgTP/iRxOpVwNIOgY9+zMAfv1ZA04BXv1biR98XSE4AO3dJXL9N4AXPt+q+bNs6c2UwDIljxyml/9DDwKEEJXu/3Spx6hQwOQkcOkxS19UpcOcdwHL92VHEsmHDBo2QjRsY8//Od5CsPfKoRCoFJA4xTGLjRtYcSU4A3/0esHsP8O/fAMIhA8UiEI8D7e3A7duBm27UMDEh4fWeXf/Jhg0bNmxcXEyvg2bj6kBV1fxFnm0QVwxBm47ubgHNQWL1+c8KCEEy1dXJpz8SsVaB3j4D+/YDUgr87/9K7NnHvDQpWRxz3VqgeznQ0SHQ0c6wRjtZ2YaN5wbTydrbAAwOSfzuSWD/AYnv/QA4eZL5adduoactX2Ce6M5dwMAAsGwp8N3vGejpYR0bj4eFs3//xQxdvu9+PvexKL9A7rlLw+iYgTP9ZTgcEl4PP+N2MyR6ekFVp1OgXLYV52zYsGHjfGATs6sPoZC4oDpyVwMuO4KWzUqcOAkYSuDD/N1Qz78BhhdmM5TtPpSQuO9+YHCQxaXHk0yqTWcoSTsxSUNuzWqJqjjw6lcBmzcDy5YKuw6TDRuXOOpqBZ5/D/D8e6zagocSLHNx7DjXitOnWaukqwvo6yPxalsCrF0L/Ps3qar6s58DX/06C8kXClxLOjqAUFDiwx8BgAzSmemKaXJGOxwO4CMfkti3H3j96wTyeYlymZ71XE5C0+ity+UkXC6SuUKBfwvBvNjpoUq2iJANGzauFtjLnQ0bZ+OiE7RfPiDxkY9JOByA00GjxOHkb6eDAh3mj9MJuF2A08UieU4XkMsCT+1UsqyzHupIBKiKSZzuocFTLDD8yekE/H7Kd0ejzE9ZuhS4fhvQ3CTsMCcbNq4QBAKmhw0wF4hyWaKvDzhxkgqtAwOss/a1r9Orli+wVklNNRCJcuPG4wZqahk6vW4d0NXpxmOPF9HSDFTFgZ/+L3DttYA0gF89CNxxG/Cz+4AduwApDRw8RIW1G65joV2vF1i1isW5ly0FWlskfvAjfi4cBr7xH8CfvgkYHQXu/yXwxtcDBw5IHD0G3PsKgQd+xTXzzjsEvvEfEqtWAhvWC3z8kxKveBlQ3wD87fuAD7wPGB0DvvI14N1/JfDkk8zN27RBoFQCSmWqYpo/xaJEocj6juZPoXDu/9/xdoG777w01k1d118G4P0AugFsSSQST85z3F0APgXAAeCLiUTiw+r1KgD/CaANwEkAL08kEuPPesNt2LABwCZoNmzMBSGlPPdRCuPj4wseHAqFkDpH5blKRWJwiASqXAYqZaBcsf4vmwZEGSgV+bs8y7DgcQwlcrtJwExSFw7R4AmFrL8vdQK2mH6zcTbsfnt6sPvNgpTMZUtOML90cpJe9dQkFHGRKBQAKd1IZ4oAaEwITDMqxMzXhHb23wCgaQyJ1DS+VyzSU1euWIqx5RL/Fhp/l8t8vVCg987hULVjBDepSiVAc/AapRLfl+C66vHwf5eLEuXmZtf0TS+PR73nFtP+5o/HPet/j/V6XR0WFcp5rrkWi8UueHHWdb0bgAHg8wDeNRdB03XdAeAwgNsB9AL4HYB7E4nEAV3XPwJgLJFIfFjX9b8GEEskEn81+xzlclnaz82Fw15/LhxXWh9WKhIPPAhsv+XiiatdaX34XMDuwwvHQt+BF92D5nAINDY8E2e6tEmXDRs2Ln0IIRAOcyNnniMAAKGQD6lU+aK1y8bikUgkDgKArusLHbYFwNFEInFcHfttAC8EcED9vlkd9zUADwI4i6DZsGHj2YHDIXD79ue6FTZsXFqwNaht2LBhw8aVjiYAPdP+71WvAUBdIpHoBwD1u/Yit82GDRs2bNiYgctOJMSGDRs2bFxd0HX9FwDq53jrPYlE4oeLOMVcIReLj+8HoGkaQrbs2AXD4XDY/XiBsPvwwmH34YXD7sNnFzZBs2HDhg0blzQSicRtF3iKXgAt0/5vBnBG/T2o63pDIpHo13W9AcDQXCcwDMPOt3gGYOetXDjsPrxw2H144bD78MIRi8Xmfe+8CNpiEroXupiN+WH329OD3W9PD3a/nT/sPnt6uET67XcAOnVdbwfQB+CVAF6l3vsRgNcA+LD6PadHzul0ikvkXi572P144bD78MJh9+GFw+7DZw92DpoNGzZs2Lhsoev6i3Vd7wWwFcBPdF2/T73eqOv6TwEgkUiUAbwVwH0ADgL4TiKR2K9O8WEAt+u6fgRUefzwxb4HGzZs2LBhYzrOS2bfhg0bNmzYsGHDhg0bNmw8e7A9aDZs2LBhw4YNGzZs2LBxieCCREJ0XX8ZgPcD6AawZa4Coeq4uwB8CoADwBcTicRVHUKi63oVgP8E0AbgJICXJxKJ8TmOeyeAN4BqY3sBvC6RSOQvXksvLZxHv0UBfBHAKrDv/jiRSDx60Rp6iWGx/aaOdQB4EkBfIpF4/sVq46WGxfSZrustAL4OqgsaAL6QSCQ+dXFbemngXGu8rutCvX8PgCyA1yYSiR0XvaFPE/Z32OIw3zOx0POk6/q7AbweQAXA2xOJxH3PQdMvOcxei+0+PD/MZQcASMDuw0VjLhsUgB92H14UXKgHbR+A3wfwm/kOUIvMZwDcDWAFgHt1XV9xgde93PHXAH6ZSCQ6AfxS/T8Duq43AXg7gE2JRGIVaBi88qK28tLDOftN4VMAfpZIJJYDWAvmnFzNWGy/AcA7YPcXsLg+KwP4y0Qi0Q3gWgBvuRrXtkWu8XcD6FQ/bwLwuYvayAuA/R12XpjvmZjzeVLvvRLASgB3Afis6m8bZ6/Fdh+eH+ayA+w+XCQWsEHtPrxIuCCClkgkDiYSicQ5DtsC4GgikTieSCSKAL4N4IUXct0rAC8E8DX199cAvGie45wAfLquO8FdizPzHHe14Jz9put6GMCNAL4EAIlEophIJJIXqX2XKhY133RdbwbwPHDX8WrHOfsskUj0m16gRCKRAg2AptnHXQVYzBr/QgBfTyQSMpFIPAYgqiTtLwfY32GLxALPxHzP0wsBfDuRSBQSicQJAEfB/r6qMc9abPfhIrGAHWD34flhLhvU7sOLhIuRg9YEoGfa/724Oo2Y6ahLJBL9AL/QANTOPiCRSPQB+GcApwH0A5hIJBI/v6itvPRwzn4D0AFgGMBXdF3fqev6F3VdD1zMRl6CWEy/AcAnAfxfMDTpasdi+wwAoOt6G4D1AB5/9pt2yWExa/zl/D1wObf9OcOsZ2K+58nu27nxSZy9Ftt9uHjMZwfYfbhILGCD2n14kXDOHDRd138BxpPPxnsSicSc9WJmYa7aaVe8dORC/bbIz8fAHYl2AEkA/6Xr+h8mEolvPGONvARxof0GzukNAN6WSCQe13X9U6AL/m+foSZekngG5tvzAQwlEomndF2/+Zls26WKZ2CumecJAvhvAH+eSCQmn4m2XWZYzBp/OX8PXM5tf04w+5nQdX2+Q+2+nYWnsRbbfXg25rMD5oPdh7Mwnw26wEfsPnyGcU6ClkgkbrvAa/QCaJn2fzOuglC9hfpN1/VBXdcbEolEvwrzGZrjsNsAnEgkEsPqM98DsA3AFU3QnoF+6wXQm0gkTE/Gd7HwwnxF4Bnot+sAvEDX9XsAeAGEdV3/RiKRWGhBvqzxDPQZdF13gYboNxOJxPeepaZe6ljMGn85fw9czm2/6JjnmZjvebL79mzMuRbD7sPzwXx2gN2Hi8d8NqjdhxcJFyPE8XcAOnVdb9d13Q0mEf7oIlz3UsaPALxG/f0aAHN5Ik8DuFbXdb9SQNsOW7zhnP2WSCQGAPTo1pbtdgAHLk7zLlkspt/enUgkmhOJRBv4jD5wJZOzReCcfaaeyy8BOJhIJD5+Edt2qWExa/yPAPyRrutC1/VrwXCZ/ovd0KcJ+ztskVjgmZjvefoRgFfquu7Rdb0dFJF54mK191LEAmux3YeLxAJ2gN2Hi8d8NqjdhxcJF0TQdF1/sa7rvQC2AviJruv3qdcbdV3/KQAkEokygLcCuA8c3O8kEon9F9bsyx4fBnC7rutHANyu/p/db4+Duz47QHlTDcAXnpvmXjI4Z78pvA3AN3Vd3wNgHYB/vNgNvcSw2H6zYWExfXYdgFcDuFXX9V3q557nprnPHeZb43Vd/1Nd1/9UHfZTAMfBxPF/A/Dm56SxTwP2d9h5Yb5nYs7nSfXjd0Dj+WcA3pJIJCrPTdMvedh9eH6Yyw6w+3CRWMAGtfvwIkFIaYeI2rBhw4YNGzZs2LBhw8algIsR4mjDhg0bNmzYsGHDhg0bNhYBm6DZsGHDhg0bNmzYsGHDxiUCm6DZsGHDhg0bNmzYsGHDxiUCm6DZsGHDhg0bNmzYsGHDxiUCm6DZsGHDhg0bNmzYsGHDxiUCm6DZsGHDhg0bNmzYsGHDxiUCm6DZsGHDhg0bNmzYsGHDxiUCm6DZsGHDhg0bNmzYsGHDxiWC/x9M7OJDfGBHFQAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 864x288 with 4 Axes>"
       ]
@@ -487,7 +487,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -569,7 +569,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -659,7 +659,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
      ]
     }
    ],
@@ -684,7 +684,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 864x288 with 4 Axes>"
       ]
@@ -1000,7 +1000,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
      ]
     }
    ],
@@ -1060,50 +1060,50 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>-0.000</td>\n",
-       "      <td>0.100</td>\n",
-       "      <td>-0.184</td>\n",
-       "      <td>0.187</td>\n",
+       "      <td>0.000</td>\n",
+       "      <td>0.099</td>\n",
+       "      <td>-0.183</td>\n",
+       "      <td>0.182</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>3702.0</td>\n",
-       "      <td>2905.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>3744.0</td>\n",
+       "      <td>3405.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bM</th>\n",
-       "      <td>-0.062</td>\n",
-       "      <td>0.160</td>\n",
-       "      <td>-0.383</td>\n",
-       "      <td>0.215</td>\n",
+       "      <td>-0.064</td>\n",
+       "      <td>0.162</td>\n",
+       "      <td>-0.368</td>\n",
+       "      <td>0.236</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>2309.0</td>\n",
-       "      <td>2469.0</td>\n",
+       "      <td>2031.0</td>\n",
+       "      <td>2245.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bA</th>\n",
        "      <td>-0.609</td>\n",
-       "      <td>0.157</td>\n",
-       "      <td>-0.908</td>\n",
-       "      <td>-0.317</td>\n",
+       "      <td>0.162</td>\n",
+       "      <td>-0.928</td>\n",
+       "      <td>-0.314</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>2317.0</td>\n",
-       "      <td>2424.0</td>\n",
+       "      <td>1859.0</td>\n",
+       "      <td>2540.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>0.825</td>\n",
-       "      <td>0.087</td>\n",
-       "      <td>0.681</td>\n",
-       "      <td>1.004</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>0.826</td>\n",
+       "      <td>0.090</td>\n",
+       "      <td>0.670</td>\n",
+       "      <td>1.002</td>\n",
+       "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>3107.0</td>\n",
-       "      <td>2291.0</td>\n",
+       "      <td>3628.0</td>\n",
+       "      <td>2402.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1112,10 +1112,10 @@
       ],
       "text/plain": [
        "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "a     -0.000  0.100  -0.184    0.187      0.002    0.002    3702.0    2905.0   \n",
-       "bM    -0.062  0.160  -0.383    0.215      0.003    0.002    2309.0    2469.0   \n",
-       "bA    -0.609  0.157  -0.908   -0.317      0.003    0.002    2317.0    2424.0   \n",
-       "sigma  0.825  0.087   0.681    1.004      0.002    0.001    3107.0    2291.0   \n",
+       "a      0.000  0.099  -0.183    0.182      0.002    0.001    3744.0    3405.0   \n",
+       "bM    -0.064  0.162  -0.368    0.236      0.004    0.003    2031.0    2245.0   \n",
+       "bA    -0.609  0.162  -0.928   -0.314      0.004    0.003    1859.0    2540.0   \n",
+       "sigma  0.826  0.090   0.670    1.002      0.001    0.001    3628.0    2402.0   \n",
        "\n",
        "       r_hat  \n",
        "a        1.0  \n",
@@ -1147,7 +1147,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x676.8 with 1 Axes>"
       ]
@@ -1376,7 +1376,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x432 with 1 Axes>"
       ]
@@ -1461,36 +1461,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 0.02264406,  1.54980162,  0.04897436,  1.65512283, -0.26698927,\n",
-       "        0.89154405, -0.79359532,  0.78622284, -0.63561351, -0.81992563,\n",
-       "        0.52291981,  1.26016829,  1.49714101, -0.5829529 , -0.08267715,\n",
-       "        0.364938  ,  0.52291981,  0.54925012,  0.12796527, -1.74148622,\n",
-       "       -0.47763169, -1.13588926, -0.95157714, -1.26754077, -0.21432866,\n",
-       "       -0.39864078, -0.42497109, -0.13533776, -0.89891654, -1.39919229,\n",
-       "        0.07530467, -0.87258623,  0.07530467,  1.73411374, -0.84625593,\n",
-       "        0.97053496, -0.31964988, -1.21488017, -1.34653168, -0.5302923 ,\n",
-       "       -0.00368624, -0.18799836,  0.364938  ,  2.49769252, -0.97790744,\n",
-       "        0.10163497,  0.33860769,  0.54925012, -0.76726502,  2.78732585])"
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "data[\"Marriage_std\"].values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -1499,7 +1470,7 @@
      "text": [
       "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
-      "Sequential sampling (1 chains in 1 job)\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [sigma, bA, bM, a, sigma_m, bAM, aM]\n"
      ]
     },
@@ -1532,8 +1503,8 @@
       "text/html": [
        "\n",
        "    <div>\n",
-       "      <progress value='0' class='progress-bar-interrupted' max='2000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      Interrupted\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:08<00:00 Sampling 4 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -1548,31 +1519,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "C:\\Users\\mason\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\quadpotential.py:258: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  np.divide(1, self._stds, out=self._inv_stds)\n",
-      "C:\\Users\\mason\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\quadpotential.py:237: RuntimeWarning: invalid value encountered in multiply\n",
-      "  return np.multiply(self._var, x, out=out)\n"
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Mass matrix contains zeros on the diagonal. \nThe derivative of RV `sigma_log__`.ravel()[[]] is zero.\nThe derivative of RV `bA`.ravel()[[]] is zero.\nThe derivative of RV `bM`.ravel()[[]] is zero.\nThe derivative of RV `a`.ravel()[[]] is zero.\nThe derivative of RV `sigma_m_log__`.ravel()[[]] is zero.\nThe derivative of RV `bAM`.ravel()[[0]] is zero.\nThe derivative of RV `aM`.ravel()[[]] is zero.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [44]\u001b[0m, in \u001b[0;36m<cell line: 9>\u001b[1;34m()\u001b[0m\n\u001b[0;32m     23\u001b[0m mu_M \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mDeterministic(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmu_m\u001b[39m\u001b[38;5;124m\"\u001b[39m, aM \u001b[38;5;241m+\u001b[39m bAM \u001b[38;5;241m*\u001b[39m marriage_shared)\n\u001b[0;32m     24\u001b[0m marriage \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmarriage\u001b[39m\u001b[38;5;124m\"\u001b[39m, mu_M, sigma_M, observed\u001b[38;5;241m=\u001b[39mdata[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMarriage_std\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[1;32m---> 26\u001b[0m m5_3_A_trace \u001b[38;5;241m=\u001b[39m \u001b[43mpm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43mchains\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:649\u001b[0m, in \u001b[0;36msample\u001b[1;34m(draws, step, init, n_init, initvals, trace, chain_idx, chains, cores, tune, progressbar, model, random_seed, discard_tuned_samples, compute_convergence_checks, callback, jitter_max_retries, return_inferencedata, idata_kwargs, mp_ctx, **kwargs)\u001b[0m\n\u001b[0;32m    647\u001b[0m         _log\u001b[38;5;241m.\u001b[39minfo(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSequential sampling (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mchains\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m chains in 1 job)\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    648\u001b[0m         _print_step_hierarchy(step)\n\u001b[1;32m--> 649\u001b[0m         mtrace \u001b[38;5;241m=\u001b[39m _sample_many(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39msample_args)\n\u001b[0;32m    651\u001b[0m t_sampling \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m-\u001b[39m t_start\n\u001b[0;32m    652\u001b[0m \u001b[38;5;66;03m# count the number of tune/draw iterations that happened\u001b[39;00m\n\u001b[0;32m    653\u001b[0m \u001b[38;5;66;03m# ideally via the \"tune\" statistic, but not all samplers record it!\u001b[39;00m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:763\u001b[0m, in \u001b[0;36m_sample_many\u001b[1;34m(draws, chain, chains, start, random_seed, step, callback, **kwargs)\u001b[0m\n\u001b[0;32m    761\u001b[0m traces: List[BaseTrace] \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m    762\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(chains):\n\u001b[1;32m--> 763\u001b[0m     trace \u001b[38;5;241m=\u001b[39m _sample(\n\u001b[0;32m    764\u001b[0m         draws\u001b[38;5;241m=\u001b[39mdraws,\n\u001b[0;32m    765\u001b[0m         chain\u001b[38;5;241m=\u001b[39mchain \u001b[38;5;241m+\u001b[39m i,\n\u001b[0;32m    766\u001b[0m         start\u001b[38;5;241m=\u001b[39mstart[i],\n\u001b[0;32m    767\u001b[0m         step\u001b[38;5;241m=\u001b[39mstep,\n\u001b[0;32m    768\u001b[0m         random_seed\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01mif\u001b[39;00m random_seed \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m random_seed[i],\n\u001b[0;32m    769\u001b[0m         callback\u001b[38;5;241m=\u001b[39mcallback,\n\u001b[0;32m    770\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[0;32m    771\u001b[0m     )\n\u001b[0;32m    772\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m trace \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    773\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(traces) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:909\u001b[0m, in \u001b[0;36m_sample\u001b[1;34m(chain, progressbar, random_seed, start, draws, step, trace, tune, model, callback, **kwargs)\u001b[0m\n\u001b[0;32m    907\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m    908\u001b[0m     strace \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m--> 909\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m it, (strace, diverging) \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(sampling):\n\u001b[0;32m    910\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m it \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m skip_first \u001b[38;5;129;01mand\u001b[39;00m diverging:\n\u001b[0;32m    911\u001b[0m             _pbar_data[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivergences\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\fastprogress\\fastprogress.py:47\u001b[0m, in \u001b[0;36mProgressBar.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m     45\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[0;32m     46\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mon_interrupt()\n\u001b[1;32m---> 47\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m e\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\fastprogress\\fastprogress.py:41\u001b[0m, in \u001b[0;36mProgressBar.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m     39\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtotal \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m: \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mupdate(\u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m     40\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 41\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m i,o \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgen):\n\u001b[0;32m     42\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtotal: \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[0;32m     43\u001b[0m         \u001b[38;5;28;01myield\u001b[39;00m o\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:1056\u001b[0m, in \u001b[0;36m_iter_sample\u001b[1;34m(draws, step, start, trace, chain, tune, model, random_seed, callback)\u001b[0m\n\u001b[0;32m   1054\u001b[0m     step \u001b[38;5;241m=\u001b[39m stop_tuning(step)\n\u001b[0;32m   1055\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m step\u001b[38;5;241m.\u001b[39mgenerates_stats:\n\u001b[1;32m-> 1056\u001b[0m     point, stats \u001b[38;5;241m=\u001b[39m \u001b[43mstep\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpoint\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1057\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m strace\u001b[38;5;241m.\u001b[39msupports_sampler_stats:\n\u001b[0;32m   1058\u001b[0m         strace\u001b[38;5;241m.\u001b[39mrecord(point, stats)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\arraystep.py:286\u001b[0m, in \u001b[0;36mGradientSharedStep.step\u001b[1;34m(self, point)\u001b[0m\n\u001b[0;32m    284\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mstep\u001b[39m(\u001b[38;5;28mself\u001b[39m, point):\n\u001b[0;32m    285\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_logp_dlogp_func\u001b[38;5;241m.\u001b[39m_extra_are_set \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m--> 286\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mstep\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpoint\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\arraystep.py:208\u001b[0m, in \u001b[0;36mArrayStepShared.step\u001b[1;34m(self, point)\u001b[0m\n\u001b[0;32m    204\u001b[0m     shared_var\u001b[38;5;241m.\u001b[39mset_value(point[name])\n\u001b[0;32m    206\u001b[0m q \u001b[38;5;241m=\u001b[39m DictToArrayBijection\u001b[38;5;241m.\u001b[39mmap({v\u001b[38;5;241m.\u001b[39mname: point[v\u001b[38;5;241m.\u001b[39mname] \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvars})\n\u001b[1;32m--> 208\u001b[0m step_res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mastep\u001b[49m\u001b[43m(\u001b[49m\u001b[43mq\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    210\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mgenerates_stats:\n\u001b[0;32m    211\u001b[0m     apoint, stats \u001b[38;5;241m=\u001b[39m step_res\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\base_hmc.py:165\u001b[0m, in \u001b[0;36mBaseHMC.astep\u001b[1;34m(self, q0)\u001b[0m\n\u001b[0;32m    161\u001b[0m check_test_point \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39masarray(\u001b[38;5;28mlist\u001b[39m(check_test_point_dict\u001b[38;5;241m.\u001b[39mvalues()))\n\u001b[0;32m    162\u001b[0m error_logp \u001b[38;5;241m=\u001b[39m check_test_point[\n\u001b[0;32m    163\u001b[0m     (np\u001b[38;5;241m.\u001b[39mabs(check_test_point) \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1e20\u001b[39m) \u001b[38;5;241m|\u001b[39m np\u001b[38;5;241m.\u001b[39misnan(check_test_point)\n\u001b[0;32m    164\u001b[0m ]\n\u001b[1;32m--> 165\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpotential\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mraise_ok\u001b[49m\u001b[43m(\u001b[49m\u001b[43mq0\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpoint_map_info\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    166\u001b[0m message_energy \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m    167\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBad initial energy, check any log probabilities that \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    168\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mare inf or -inf, nan or very small:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(error_logp\u001b[38;5;241m.\u001b[39mto_string())\n\u001b[0;32m    169\u001b[0m )\n\u001b[0;32m    170\u001b[0m warning \u001b[38;5;241m=\u001b[39m SamplerWarning(\n\u001b[0;32m    171\u001b[0m     WarningType\u001b[38;5;241m.\u001b[39mBAD_ENERGY,\n\u001b[0;32m    172\u001b[0m     message_energy,\n\u001b[0;32m    173\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcritical\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    174\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miter_count,\n\u001b[0;32m    175\u001b[0m )\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\step_methods\\hmc\\quadpotential.py:308\u001b[0m, in \u001b[0;36mQuadPotentialDiagAdapt.raise_ok\u001b[1;34m(self, map_info)\u001b[0m\n\u001b[0;32m    305\u001b[0m         errmsg\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe derivative of RV `\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m`.ravel()[\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mindex\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m] is zero.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    306\u001b[0m         last_idx \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m arr_len\n\u001b[1;32m--> 308\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(errmsg))\n\u001b[0;32m    310\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m np\u001b[38;5;241m.\u001b[39many(\u001b[38;5;241m~\u001b[39mnp\u001b[38;5;241m.\u001b[39misfinite(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_stds)):\n\u001b[0;32m    311\u001b[0m     errmsg \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMass matrix contains non-finite values on the diagonal. \u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
-      "\u001b[1;31mValueError\u001b[0m: Mass matrix contains zeros on the diagonal. \nThe derivative of RV `sigma_log__`.ravel()[[]] is zero.\nThe derivative of RV `bA`.ravel()[[]] is zero.\nThe derivative of RV `bM`.ravel()[[]] is zero.\nThe derivative of RV `a`.ravel()[[]] is zero.\nThe derivative of RV `sigma_m_log__`.ravel()[[]] is zero.\nThe derivative of RV `bAM`.ravel()[[0]] is zero.\nThe derivative of RV `aM`.ravel()[[]] is zero."
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 23 seconds.\n"
      ]
     }
    ],
@@ -1588,21 +1535,21 @@
     "with pm.Model() as m5_3_A:\n",
     "    # A -> D <- M\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    bA = pm.Normal(\"bA\", 0, 0.5)\n",
-    "    bM = pm.Normal(\"bM\", 0, 0.5)\n",
+    "    bA = pm.Normal(\"bA\", 0, 0.05)\n",
+    "    bM = pm.Normal(\"bM\", 0, 0.05)\n",
     "\n",
-    "    a = pm.Normal(\"a\", 0, 0.2)\n",
+    "    a = pm.Normal(\"a\", 0, 0.01)\n",
     "    mu = pm.Deterministic(\"mu\", a + bA * age_shared + bM * marriage_shared)\n",
     "    divorce = pm.Normal(\"divorce\", mu, sigma, observed=data[\"Divorce_std\"].values)\n",
     "\n",
     "    # A -> M\n",
     "    sigma_M = pm.Exponential(\"sigma_m\", 1)\n",
-    "    bAM = pm.Normal(\"bAM\", 0, 0.5)\n",
-    "    aM = pm.Normal(\"aM\", 0, 0.2)\n",
+    "    bAM = pm.Normal(\"bAM\", 0, 0.05)\n",
+    "    aM = pm.Normal(\"aM\", 0, 0.01)\n",
     "    mu_M = pm.Deterministic(\"mu_m\", aM + bAM * marriage_shared)\n",
     "    marriage = pm.Normal(\"marriage\", mu_M, sigma_M, observed=data[\"Marriage_std\"].values)\n",
     "\n",
-    "    m5_3_A_trace = pm.sample(chains = 1)"
+    "    m5_3_A_trace = pm.sample()"
    ]
   },
   {
@@ -1614,7 +1561,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -1623,7 +1570,7 @@
        "(50,)"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1643,19 +1590,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'm5_3_A_trace' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [37]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m age_shared\u001b[38;5;241m.\u001b[39mset_value(A_seq)\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[1;32m----> 7\u001b[0m     m5_3_M_marriage \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\u001b[43mm5_3_A_trace\u001b[49m)\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
-     ]
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1677,23 +1654,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'm5_3_M_marriage' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [38]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m _, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m2\u001b[39m, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m4\u001b[39m))\n\u001b[1;32m----> 2\u001b[0m az\u001b[38;5;241m.\u001b[39mplot_hdi(A_seq, \u001b[43mm5_3_M_marriage\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m], ax\u001b[38;5;241m=\u001b[39max[\u001b[38;5;241m0\u001b[39m])\n\u001b[0;32m      3\u001b[0m ax[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mplot(A_seq, m5_3_M_marriage[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mmean(\u001b[38;5;241m0\u001b[39m))\n\u001b[0;32m      4\u001b[0m ax[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTotal counterfactual effect of A on D\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_M_marriage' is not defined"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x288 with 2 Axes>"
       ]
@@ -1706,15 +1672,15 @@
    ],
    "source": [
     "_, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
-    "az.plot_hdi(A_seq, m5_3_M_marriage[\"divorce\"], ax=ax[0])\n",
-    "ax[0].plot(A_seq, m5_3_M_marriage[\"divorce\"].mean(0))\n",
+    "az.plot_hdi(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"], ax=ax[0])\n",
+    "ax[0].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"].mean(dim=['chain','draw']))\n",
     "ax[0].set_title(\"Total counterfactual effect of A on D\")\n",
     "ax[0].set_xlabel(\"manipulated A\")\n",
     "ax[0].set_ylabel(\"counterfactual D\")\n",
     "\n",
     "\n",
-    "az.plot_hdi(A_seq, m5_3_M_marriage[\"marriage\"], ax=ax[1])\n",
-    "ax[1].plot(A_seq, m5_3_M_marriage[\"marriage\"].mean(0))\n",
+    "az.plot_hdi(A_seq, m5_3_M_marriage.posterior_predictive[\"marriage\"], ax=ax[1])\n",
+    "ax[1].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"marriage\"].mean(dim=['chain','draw']))\n",
     "ax[1].set_title(\"Total counterfactual effect of A -> M\")\n",
     "ax[1].set_xlabel(\"manipulated A\")\n",
     "ax[1].set_ylabel(\"counterfactual M\");"
@@ -1729,19 +1695,415 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'm5_3_A_trace' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [39]\u001b[0m, in \u001b[0;36m<cell line: 6>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m age_shared\u001b[38;5;241m.\u001b[39mset_value(A_seq)\n\u001b[0;32m      6\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[1;32m----> 7\u001b[0m     m5_3_M_ppc \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\u001b[43mm5_3_A_trace\u001b[49m)\n\u001b[0;32m      9\u001b[0m \u001b[38;5;66;03m# Average first and last column and take difference\u001b[39;00m\n\u001b[0;32m     10\u001b[0m m5_3_M_ppc[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m][:, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m]\u001b[38;5;241m.\u001b[39mmean() \u001b[38;5;241m-\u001b[39m m5_3_M_ppc[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m][:, \u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mmean()\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
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+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
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+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
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+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2 {\n",
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+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;divorce&#x27; ()&gt;\n",
+       "array(-0.08953458)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'divorce'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f42e6796-171f-48f9-b1b7-d37cf0bf80f7' class='xr-array-in' type='checkbox' checked><label for='section-f42e6796-171f-48f9-b1b7-d37cf0bf80f7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.08953</span></div><div class='xr-array-data'><pre>array(-0.08953458)</pre></div></div></li><li class='xr-section-item'><input id='section-86a92601-8043-4094-a1cb-d431f3e4b01a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-86a92601-8043-4094-a1cb-d431f3e4b01a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6a7f7c8b-1f4c-4578-a519-80435a2bd7a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a7f7c8b-1f4c-4578-a519-80435a2bd7a3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'divorce' ()>\n",
+       "array(-0.08953458)"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
@@ -1754,7 +2116,7 @@
     "    m5_3_M_ppc = pm.sample_posterior_predictive(m5_3_A_trace)\n",
     "\n",
     "# Average first and last column and take difference\n",
-    "m5_3_M_ppc[\"divorce\"][:, -1].mean() - m5_3_M_ppc[\"divorce\"][:, 0].mean()"
+    "m5_3_M_ppc.posterior_predictive[\"divorce\"][:, -1].mean() - m5_3_M_ppc.posterior_predictive[\"divorce\"][:, 0].mean()"
    ]
   },
   {
@@ -1766,19 +2128,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'm5_3_A_trace' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [40]\u001b[0m, in \u001b[0;36m<cell line: 8>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m age_shared\u001b[38;5;241m.\u001b[39mset_value(np\u001b[38;5;241m.\u001b[39mzeros(\u001b[38;5;241m50\u001b[39m))\n\u001b[0;32m      8\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[1;32m----> 9\u001b[0m     m5_3_M_ppc \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\u001b[43mm5_3_A_trace\u001b[49m)\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
-     ]
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1795,23 +2187,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'm5_3_M_ppc' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [41]\u001b[0m, in \u001b[0;36m<cell line: 3>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots()\n\u001b[1;32m----> 3\u001b[0m az\u001b[38;5;241m.\u001b[39mplot_hdi(marriage_counter_factual_x, \u001b[43mm5_3_M_ppc\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m], ax\u001b[38;5;241m=\u001b[39max)\n\u001b[0;32m      4\u001b[0m ax\u001b[38;5;241m.\u001b[39mplot(marriage_counter_factual_x, m5_3_M_ppc[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdivorce\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mmean(\u001b[38;5;241m0\u001b[39m))\n\u001b[0;32m      5\u001b[0m ax\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTotal counterfactual effect M on D\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_M_ppc' is not defined"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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Bfd4aU4ITaVRhONK8RBBxO0PZXyHnm+wyrvmukIV8bqQGFe6G6J7NBMM9BKlegnQ/5FKupkU4pgmOaNy9DgLfxJeDbMqtC4CAMMDXZAKIJkaa60i0QVOnS1ReOMGjVEYJTqRehSFkhwiG9hD2ponu3EAwuINgaK+rEWSHCcLRayKEQRTizZBoIUy0ESbbCePNEE2OJr8wHOmroZBzfTNhAQhcrSGahEQrYbINYs2EiRaIt7j1xJr8Dn6csWthOLLOMFUgGNzr+oByaYJcyj1mhyEz5JNH2vUHFeMPoqPbjzW5zxBvhliSMJoYrc0U6z+FnO9TykAu47aRHoB0P5FMH6T6CTIDrvzyWdd35BvzCFy4I2kmFiWWD0e3E425WlOxCS8sNsX5g4lCscwDCGLQtMCV/TiJS2pLCU5kvstnXX9Lqs81Z/XvINK3maBvK0F2EIhAPEYsmyeMJSGacIks2e47/BndCRfyrnYyuIugfxtBoTC6Y4axfS/+vWEQuIpKcSdeyBGGeYIgQhgEBASEYYHA97uExRqNezcUCiWJNvD9RFlcbSYkCHHNb2FJbai0X8ivJyjWSAt5CPN+27jl8H1NwchW3bSw4HIPIUHgBzqMNO/FoXmRKyO/nXGb9pIJwnRm4u9HQ+HmLSU4OfDyWddhnkv72kJJM1oQQDROGIlDrHhkHhtz9DvS9OZrBCOiif2XPRCK/Su5lKt95DIEhaxPHPt3tFOsFYV5V0spjmbLZVwfTHaYIDtEkB5wiS2X8s1WgU8CEVd7ibcQJhe4zzvlTtgnrmjE1bJodqFP52NO8HrMY+nnLdn2mGRVFmulzW/jzZ+sr6mS+dLYlOCkuopNXNlhgvQAQbqXYKiHoG8rYXYfiX3b3civIGDkNMxik1Awuo6weFwehu4I2x/VF4/gA99sNtKm5HeqYSTmai7JDsKmdsJEm2vSKtZkCjnI++YrXxNwf6Ffp+sbCZuaiKWzJaPNon4bed/slR4dMJAZKonD97GMGUlWnMfIjj/0I8yC4nBqgtGay0ifTtw3by0ct4YxL43UAOc6EBEluMZRyLvzXrKjNYDiaC2Ge13TVqbf7ZRz7vyYkRpGMYH4c1RGhwT72kYh7xJDmHe1LRjdoRcTTzGGQp6AvOvP8AkpDCGIJaGlHRJthE2d49ayJhztVVoTIvBJYII9aPF8nuF9rhmukCt5P6O1RIrn7BQ/a9lOOR4nkvGDCHzzWFhcJvCfORKDeOtoLWqSzzKReZ+wROqYEtx8UvAjrnynO7lh14xXPA8mPQDZQSKZAcgME0ZyJAb9YIJCDld7CAhGajS+llNs8ov6BBZvhqBt7LaLtZeRRIJ7byTumv7GnB9TfE9541LpiZ7jNA/5IczTFkQqrxFEfO0nNjayaUsmILp/M5qI1A8luFoq5F1yygy60VrFEzLT/ZDqdUOOi7Wq9IBr+iqtXYSumS4MCy5pRWIQiRJGon50VpNrfou3TthRXrkZDCFXM5SIzGNKcDNRyLuElRl0gwCKTYFDPURS+1yTYLrPzfdNeb5xzSWtIPCXrfEDKKIxaO7abygxTNEBn0hAOIMakYjIQUAJbjzZFEGqx9W00gPuBM/BXe7KA8P73Oi2MYnLDyiIxkdP2ow3EyY7xj33Rc1dIiK1pwRXJtz1OMnffmPkvKAwLBAEUXeSZzQBsSbCRLtO2hQRmeeU4Mplh93Iv/blI5OUwERE6s98vx+ciIjIjCjBiYhIQ1KCExGRhqQEJyIiDUkJTkREGpISnIiINCQlOBERaUhKcCIi0pCU4EREpCEpwYmISENSghMRkYakBCciIg1JCU5ERBqSEpyIiDQkJTgREWlISnAiItKQlOBERKQhKcGJiEhDUoITEZGGpAQnIiINSQlOREQakhKciIg0JCU4ERFpSEpwIiLSkJTgRESkISnBiYhIQ1KCExGRhhSrdEFjTBRY6F/utdbmaxOSiIjI7E1ZgzPGnG+MuQsYArb7v0FjzJ3GmDfUOkAREZGZmDTBGWO+DXwfCIDPAe8ALgY+D0SBa4wx36p1kCIiItM1YROlMealwIXAW6213xtnkY8bY94CfMsY8/+stdfXIkBjzBnAB4FnAiuAC621V9diWyIi0jgmq8FdCPxkguQGgLX2u8DPgLdUO7ASbcBDwHuA4RpuR0REGshkg0yeBXykgnX8Etd8WRO+Zng9gDHm6lptR0REGstkNbjFwKYK1rHZLysiIjJvTFaDawKyFawjCySrE87MtbS0EI1GZ72eyFAE4nFIJqoQVW0FQYREHcRZVE/x1lOsUF/x1lOsUF/x1lOskCGIBLS3t9dsC1OdB/dKY8yzplhmTZVimZWhoaGqrKctXyCbzRKmM1VZXy0lkgkydRBnUT3FW0+xQn3FW0+xQn3FW0+xksmSaAoZ6O+f1Wq6uromnDdVgvtQhdsIK45GRETkAJgwwVlrdRkvERGpWxVfqmuuGGPagCP9ywiw2hhzIu5yYRvnLDAREZnX6qGW9izgAf/XDHzCP//kXAYlIiLz27yvwVlrb8VdKkxERKRi9VCDExERmTYlOBERaUhKcCIi0pAmu5vAOdNZUa3uJiAiIjITkw0yuQ53AnclAzxC3P3hRERE5oXJEtxhBywKERGRKpvsSiYbDmQgIiIi1TSt8+CMMTFgNe5OA2NYax+pVlAiIiKzVVGCM8bEga8Cb2biW+OoD05EROaNSk8T+DjwUuCtuEEnfw9cCNwMrAdeVovgREREZqrSBPca4DLgp/71vdbaa6y1LwLuAF5eg9hERERmrNIEdwjwmLU2D6SA0jvM/RB4ZbUDExERmY1KE9w2oNM/XwecUTLviGoGJCIiUg2VjqK8FXgu8N/AVcAXjTFHAmngtcCPahKdiIjIDFWa4D4KdANYa680xgTAq3D3Z/saujebiIjMMxUlOGvtdmB7yesrgCtqFZSIiMhs6W4CIiLSkCo90XsX7oLKE7LWLqlKRCIiIlVQaR/cN9g/wS0Eng90AN+pZlAiIiKzVWkf3GXjTfeDTX4K5KoYk4iIyKzNqg/OWhsC38ZduktERGTeqMYgk8OBRBXWIyIiUjWVDjK5eJzJCeAY4A3Az6oZlIiIyGxVOsjk6+NMSwObgX8BPlG1iERERKqg0kEmOl9ORETqSkWJyxjzJmPMognmLTTGvKm6YYmIiMxOpTWz7zHxXQMO8/NFRETmjUoTXDDJvEVAXxViERERqZoJ++CMMS9n7J26P+Yv2VWqCXcbnftqEJuIiMiMTTbIZAnw9JLXRwDLypbJADcCn65yXCIiIrMyYYKz1l6Fu7kpxphbgIuttX8+UIGJiIjMRqWnCZxV60BERESqqdLTBL5rjPnJBPN+ZIz5dnXDEhERmZ1KR1GeDfznBPN+DryoOuGIiIhUR6UJbjGwd4J5PbgBKSIiIvNGpQluA3DGBPPOwF2TUkREZN6o9GLLVwOXGmN2At+31g4YY9qANwEfRhdbFhGReabSBPc53HlwXwO+aowZBFpxVzj5lp8vIiIyb1R6mkAB+FtjzBeA5wMLgT3Ab6y1j9UwPhERkRmptAYHgLXWArZGsYiIiFTNtBKcMWYVsBZ3DcoxrLXXVysoERGR2aoowRlj2oGfMnq+W/HuAmHJYtEqxiUiIjIrldbgLgdW4+4ccAfwCtz5b2/E9cm9ribRiYjIlMIQ9g02sXdXF3t6oxTCgDAszgvca6BQCBjOxEllY2MfMzHyhYClnQOs6Opn5cI+VnT10dGcJgjGbqd3qImtPR1s2dvO1p4Odva2EYvmaU1maUlmaUlkaG3K0JLM0prI0pTIkYzlSMZzNMXdYzKeIx6O+1GqqtIEdw7wT8Dv/Out1tr7gN8aY74EfAh4TQ3iA8AYc7HfxnLgYeC91trba7U9EZGJDKbjPLl9EY9tW8Tj27tZt7OLXD5CNFIgFvV/kZBoJE8sEpIPA3L5KNl8hGwuQjYfJZePkCtEaUlk6G4fortjkMUdgyxqH2Jx+yDdHYPEowWG0nGG0gkGM/GR50OZOPsGm9nZ28qO3jZ29raxs6+VTG5aPU4jopECTfEsQQADqeSYea3JNCsW9tPdPsiuvla29XQwmE6MWaa9KUW+EGEoM3b61NvN88/n38apz5hR2BWptESWApustXl/isDCknnX4y7XVRPGmNcCXwEuxtUeLwZuMMYca63dWKvtisjcSGej7O5voWewmb6hJvqGk/QONdHrn/cNN5HPB3S2pljQkqKzdZjO4mNrioWtw3S1DRONzK6KMJCKs2lPJ9t6F/Hktjae2L6Ix7d1s3nvgpFl2ptSHLFsL61NGXL5CPlChHQ2Rr4QIVeIjCS+eLRAPJonHi3Q2pQhHi0QixQYSCVYt7OLe59ctV9ymUw0kmdJxyBLFgxw7KqdnLlggKULBljZnaIlPkA0Erp+pCAkErjnQQCRoEBzIkdTIuse41ni0cJILW0gFfe1sw629nSw1dfS9vS3sKxzgGcctnWkdrdyYR/Lu/ppTWYBKBRgOBtnMJVwyTiTYCAVJ52NkcrGSOdipLMx0tko6VyMbDrPsYfsmdV3NJVKE9wmoNs/fxx4KfAr//o5QKrKcZV6P3C1v30PwLuMMS8G3gFcUsPtitSdXN7tVJsSuWm9r1CArT0dLOscIBYtVPy+Pf3N3L9uJZGgQHfHEN3tQyxqH6Qpnt9v2XwhoGegmZ5UJ1t3J9jV1zr619/Kbv+8b3i/MWwj2ptSdLSkiQShT3jjLxuNFFjUPsSSjgEWdwyypGOQxQsG6GpNEYZQCAPyhQj5QkDBP6ayMbbs7WDTnk427V7A3sGWkfUFQciqhb2sXbGLlzzjUdYu381Ry/ewdMHAmCa82UhlYuzub2FXXyu7+1vJ5SO0JH1TXzJLcyJLSzLjmgITGSLjXIcqkUyQSWdmHENbU5a1y/ewdvn0E08kAq0+1opkBkl0dDMw7S1VrtIEdxPwQuBa4Arg+8aYZwJp3KW6vlSL4IwxCeCZwBfLZt0InFaLbYpMR/9wgpsfOoJYtMDRK3axZnEPsWhtOheGMzEe376Ix7Z2s2nPAvYNNdM72MS+oSb6hpvpGUgymE4SCQo8ffUOTjMb+Iu1Gzhq+Z5xd8KpTIx7n1zF7X9ew+2PrmHvQAstiQwnrNnGMw7byjMP38LRK3aN+Ty5fIQHNyzjnscP4e7HV2O3Lh431ramNIvbB1nYPkQ6GxvZaecLY/fK0UiBRW2uiW7Vol5OWrOV7o4hFncM0tU6zIKWFB0tKRY0p2lrSu9Xtrl8QP9wkp7BZvYNNdE72MyegeaRxLmzr431O7u494lVDKanriF1tw9yyKJ9nH7Meg5Z1MvqRb0cvmKQpW17pn3QMF1NiRyrFvWxalFfTbdzMKk0wX0EaAGw1v67MWYAeBXQDPw98M3ahEc3bnTmjrLpO3AJd0RLSwvR6OwHckaGIhCPQ3J67clzIQgiJOogzqL+VBMPb1zBw5sWu7+N3bQ2ZXnrC/7Ii096qqImpXQ2ynV/OJKHNizh6FW7OemwHRyxrGfS94Yh7NjXykObFvPUjk4CIB7Lk4zlicfyJGIFErE8TfEcR6/cw7KuwSnL9s+bF/HTu47hhgeOIJWJj0xPxnIcuXwvx6zaw9Er93D0yt0ctqSX1qYKj2pxNZ2dvS2s29mJ3bIIu2URj25ZxIbdCwhDl6maElkWtqV801yKNUv6WdCaoqs1RTob4267kn+98RT+9cZTWNwxyOlHb+b0YzaxdsUe7ntiBbc9vJp7HltJOhejrSnDaWYzzzh8G0/t6OL3Ty7nG786FICWZIaTDtvBcYfs4vFtC7n38RUMphPEIgVOWLODd51zH6es3UIsWmB3Xwu7+prZ3dfi/vpb2NXXQmtTjsOWbmPJgiGWLBhkaecwizsGWLJgkIVtqWk0Jcb3m5IAWloKLF00CAxO+u7BVJx9g0mCwCXWaCQkEgmJRQpEIiHxaIHkODXPIIgQhhG/tfmtvvYJGYJIQHt7e822EITh+D8uY8x3gU9Za9cZY84A7rfW1rI2OV4MK4AtwBmlg0qMMZcCr7PWHl2c1tPTU5XD5rb+dWTv+jZh+/JqrK6mZtscMR29Q0lS2RiJaDEp5Me03RcK0J9Ksm+wmZ7BJndEPdhMz2Az63d18cjmxWzc3TWyvkMW7eOYlTt5audCntjezZrFPfzt8+/jhU9/Ytyml/7hBL+49zh+fNfx7OlvpTWZGensbk2mefrqHZxw6DaOP3Q7h3bv48kdC3lk8xIe3ryURzYvYe9Ay/4rncDKhb0864jtnHDoZp5x2FZWdPUDLrn++v+O5Oe/O46HNi0jGc/y4hMe59znPExTPIfd2o3dutg/dtOfGm0+a2tKs9T3kyztdI/LOvsJw4BtPe1s29fO1p52tvW0s6O3jXxh9GBteVcfa5fvZu3y3ZgV7rG8aWy838Lu/mbueWw1d9pDuefxQ8bUYJZ39vHcY9ZzxjHrOWnNVuKxsc2Se/qbeWD9Cu5/agV/WLeSdTsXsqyzn1PXbuSUozZy8hFbaGua2W/vQP5uq6Ge4q2nWEeaKJ/x1lmtpqura8JG4skSXB441Vp7b+nzWUUyTb6JcgiXzH5WMv0bwNOstc8rTptPCS4MYTCdGDmKzeajNPtO3eZElpZEluZkluZ4lkwuxqY9C0b+Nu7uZOPuBWza00k2F+E0s5GzjnuKU9dupLmsiaT0xzyYjvO7xw/h9kfX8PCmpSxsG2JZZz8ruvpZ3tU/8nzpgsr6WLK5CH/asIx7Hl/NPY8fwmPbxm+Kikddskv5jvXxdLcPcuyqHTx9zV7Msm0cs3InC1rSgEuMtzx8OFfdfDJP7VzE4Uv28LYX3MdZxz1FJAI7e1v58V3Hc+29xzGYTvCcIzdx/hn3c/IRW9ja08GfNizjTxuW8+CGZTy1c+FIDQdcv8mh3fs4ZtVOjlu1g2NX7eSoZXuIBCGZfJRsLkomFyWbd48DqQQPbVrK/etW8Mf1K+gdcglqeWcfx6zcxe+fWknfcBOHdvfwqlMe4pyTLO3N4+9MwhC27WvHblnM5r0d7OhtY/s+N+Jt+7529g01j1l+cccAyzvdd7W8q58VXX2+z2cPHc3pKb+vqXZsuXyEBzcu5YntizhpzTaOXDZ+s+VEhtIxmhO5qvQ31dVOmPqKt55inesEtxn4KvAvQB9wJvD7iVZkrR2aVZQTMMb8DviTtfaikmmPAT+31o4MMqlGgsvnQ8LtG9l928/pjRziRmyVjOLK5KK+c3q0YzofRigUAvpTCfb0t7K73yW1dHb/5pRKLGofdG3/3fsoFAJuf3QNvUPNJGM5Tlnrkt3pR2+goznN7sGF/ObBFdz+6Bruf2ol2XyUjuYUJxy6jb7hJNv2dbCrr3W/nf7i9kGWdrod6tLOfpb52kRX2zCPbF7CPY+v5g9PrWQ4EycayXP86u0856jNLGwbcgkhFx2TIDL5KM3xLF2toyPZulqHR0a3FZt9JvvPVyjAzQ8dyVU3n8z6XV0cucx14t/04JEUCgEvfPqTnH/GA5gVuycsu77hJP+3cSmb9yzgiKV7OHrlLtqm0TRYKhZP8OeN7dy/bgUPrFvBw5uXcNyqnbzylId41uFbZr2jT2Wj7OhtIwCWdfaTiFU+sGM89bRjq6dYob7iradY5zrBfRy4jLFXK5mQtbYmVzLxpwn8O+70gDuBtwNvBY6z1m4oLleNBPfmtxZ48smJ58ejeSKRAtHAtd1HgpCob79vS2ZGRpAVR5N1t7vzWpKxPMOZGMPZOMPpOEOZOMOZOMOZGNFIyCGL9rG6u5dVi3r3G4GUywf8acNybnn4cG59+HB29rURjeRZ0dXPpj2dAKzu7uG5R2/guUev5/hDt43piM/mIuzsa2NrTzvb97kmsO37XC1ih69NZPNjv7qVC3s55ahNnHLURp55+JYZJ4lylfznyxcCbnrQJbqdfa389TMf5fWn/5GVC/urEkOl6mpHQX3FW0+xQn3FW0+xzmmCA/AjJY8BrgE+DUy4+7fWfn8WMU7Kn+j9YdyJ3g8B77PW/rZ0mWokuNt+G9K7aQ9t22+mY2EzHS0pOprTdLSkaG/KzPq8mtkqFODPW5Zwy8OH8+SOhTz7qB2cdtSTHLp436zW2TPYzI7ednb1tXD40r0cUqNRXNP5z1coQL4Q2a9v6ECpqx0F9RVvPcUK9RVvPcU65wmuyBjzPeCT1tp1s4qkhuZTH9yBUlc/Zuor3nqKFeor3nqKFeor3nqK9UAkuPFHBZQwxjQBrwdOmFUUIiIiB9CUCc5amwJ2ArU9y1FERKSKpkxw3jeBdxtjZjY0UERE5ACr9EomncDTgPXGmJtxVxIp7fMKrbUfqXJsIiIiM1Zpgnsl7rqT4O4JVy7EXc5LRERkXqgowVlrD6t1ICIiItVUaR+ciIhIXan4FrDGmOOBjwLPAlbhrk15vzHmM8Ad1tobahSjiIjItFVUgzPG/BXwB2AZ7qompaMp08C7qh+aiIjIzFXaRHk57q7azwM+Uzbvj8CJVYxJRERk1ipNcEcDP/HPyy+J1QcsrFpEIiIiVVBpgtsJHD7BvOOAjdUJR0REpDoqTXA/Bj5pjDm9ZFpojFmLO//th1WPTEREZBYqHUX5MeBY4DZgu5/2S9ygkxuBz1Y/NBERkZmr9ETvNPBSY8wLgBcA3cBe4GZr7U01jE9ERGRGKkpwxpjVwDZr7c3AzWXzYsAKa6364UREZN6otA9uHXDSBPNO8PNFRETmjUoT3IR3TAWaGL0Qs4iIyLwwYROlvzTXiSWTzjHGHF22WBPwGuCx6ocmIiIyc5P1wb0CuNQ/D4GPT7DcOuDvqhmUiIjIbE2W4D4LfBHXPNkHPB+4r2yZjLU2W6PYREREZmzCBOcTVzF56bY6IiJSVyq+XQ6Av3LJKlzf2xjW2uurFZSIiMhsVXoe3LG4iy0fy/gjKkMgWsW4REREZqXSGtw3gQRwLvAIkKlZRCIiIlVQaYI7CTjPWntdLYMRERGplkoHjzzJOP1uIiIi81WlCe4DwD8aYya6J5yIiMi8UmkT5eXASuBRY8x6YF/5AtbaZ1cvLBERkdmpNME95P9ERETqQqX3g7uw1oGIiIhUk65QIiIiDanSE71/OtUy1trXzD4cERGR6qi0D27xONMWAgbYA9iqRSQiIlIFlfbBnTXedGPMIcC1wBXVDEpERGS2ZtUHZ63dhDuF4PPVCUdERKQ6qjHIJI+7w4CIiMi8MZ27CZRLAMcAn2L/G6GKiIjMqemc6B2OMz3AJbe/rVpEIiIiVVBpghtvkEkK2Gyt3VLFeERERKqi0lGUt9U6EBERkWqqtAaHMSYGvBI4HXcO3F7gduAX1tpcbcITERGZmYpGURpjlgC/B34EvAQ43D/+GLjPGDPeieAiIiJzptIa3JeBRcBzrLUjIyaNMScDP/fzz69+eCIiIjNTaYI7B/j70uQGYK29zxhzCfC1qkcGGGMuAl4HnAQsAA6z1q6vxbZERKSxVHqidxLon2BeP+6cuFpoAW4ELqvR+kVEpEFVmuDuAT5ijGktnehff8TPrzpr7ZXW2suBO2qxfhERaVyVNlF+ALgF2GSMuRHYASwB/hJ3sveZNYlORERkhio9D+6PxpijgA8CJwPHA9uAfwO+bK3dXbsQK9PS0kI0Gp31eiJDEYjHIVmrVtfqCYIIiTqIs6ie4q2nWKG+4q2nWKG+4q2nWCFDEAlob2+v2RYqPg/OJ7F/mO0GjTGfBj46xWJnWWtvnc56h4aGZhxTqbZ8gWw2S5jOVGV9tZRIJsjUQZxF9RRvPcUK9RVvPcUK9RVvPcVKJkuiKWSgf6LhHZXp6uqacF6lF1s+AVhprb1+nHnn4C7Z9WCF8VwJ/GCKZTZWuC4REZFxVVqDuwJ31ZL9EhyuyfIDwAsqWZGvCc55k6aIiDS2ShPcM4B/nmDe3cB7qhPOWMaYZcAyYK2fdKwxphPYaK3dW4ttiohIY6j0NIEo0DrBvFZqdx7c24EHgB/61//jX/91jbYnIiINotIa3H3ARcC148y7CHedyqqz1l6GTvIWEZEZqDTBXQb82hjzO+D7wHZgOfAm4ATg7JpEJyIiMkMVNVFaa38LvAgo4K47+Z/AV4AccLa19vaaRSgiIjID0zkP7lbgVGNMC9AF9Fhrq3PymYiISJVVnOCKfFJTYhMRkXmt0lGUIiIidUUJTkREGpISnIiINCQlOBERaUhKcCIi0pCU4EREpCEpwYmISENSghMRkYakBCciIg1JCU5ERBqSEpyIiDQkJTgREWlISnAiItKQlOBERKQhKcGJiEhDUoITEZGGpAQnIiINSQlOREQakhKciIg0JCU4ERFpSEpwIiLSkJTgRESkISnBiYhIQ1KCExGRhqQEJyIiDUkJTkREGpISnIiINKTYXAcgIiINqpCHfAbyGYJcmrCQJQh8vSoMYdlRNd28EpyIiExPGEKYh3zWJS//SAAhAYFbiDCIQlMnYccK8q1LCNsWQ1MHYbKdMLmA+KJlMDBQszCV4EREBMICFHKQz0EhR1DIQiFHWMgREBBGIgRAGIYEFAijSUh2ELauIN/cBS0LCZsWECbaINlOmGiFeAsEwYSbDCaZVw1KcCIy98IQcimC7BBhPu1rAAFhcQcYAkEIBO6BAq66UHDLhCFu7wsExWUYs3MtLhcQEAYQhIXR9Y4sD26mq4kAkIoRZLN+2WI4gVt1GLpNx5KEsSREExCJT7pTr6owBEKfnAoQyUMm5V/nCcL8yPMwzLuyIfAfxRVYSEgQ+tpWosUlpkQ3hWQ7YVMHNC0gTLQSxpsh3kIYb4FEi/us85wSnIgcWGHomrMyQ5AbgtDlg7B5EfklxxC2LyNs6oR4M2EkNposfLNY4HfYFPKumSwsjO7oCfzyAUSiEERGHsNI3D2PxiGaICwmo0jELecT5sh6C3kAEh0dpAcG/TK4ZfIZguwQQaqPYGgPDOwgMrCDYHgfpHf55FfMuLjHYoL08YUjKcYJRv4N/VtHU1FI6J+Prq74zjCIQjQGsSQErS5BxRKEsWaINRHGmyDe6pKXT8LuMQmxJGGsCWJNrlwOVGI+QJTgROpVIQ+5NORTkIEglWLMTj4Scwli5C8Kgd/pl+7IRmoBJTvQkddh2U6/MForKH9fMbGUvj8suJ3zyLwA4lEgRti5msLCwyksWEXYvgzizRV97HDqRWbBJ8ASQbIdMuXLtRI2dxF2rByZki8+CUMoFGt8/rsoJlBC3wzo+65yGcinfZNgbuQ9I99bND72eyyuj4hLzJHYaOIFku3tZPv7q10odUsJTqonLO4Ms74dP0uQz7o2/ABIJQlyWdesM9oA5N5aPJoNAtdcEoYE0fjoUXY0tt9/5oYUliYU1xdCIe/LMesTRQQoEAYRwtbFhJ2roGs5uXzENxuFLvGlBwgyfQSZQYLMoKsx5dNuQMCYpORrAZHiTthPL9YMInHCRIs72o+3uKaqkaa4kmQZ5seuN4j5moSvIcSbCJPtxLtXkknlG662MCIIJmm+8/OiCaCVskMKqTIlOKnMSG0h7Yb7hgWCIBhpdSkesYfRBCRaCZs7XIdzshOaO92OrWsxmXTB7Sj9kal7a+hHYqUhO+x2yKk+GNxFZLgH0n0E6QHIDrnmqaDYvFPSv8JoH8z+u82SzpNx5oXFGAgJQn+EnEwSZHNl7/M1Eh/DSEIuNiSFZbWgoPRJWDYxHLtH8/1AIbidX7wJYs2EvuzCZIfrxE92uL+mDki2jyT8oL2dfKVH7mHZrvQAJ5og0Qpp1TKk9pTgDiaFnEtShSzBSB9GgZE9rd9BhxEIiIxJXmEQJWztJuxcSdi6hLBlkUtk8WI7f/NoO/4EgvZ2wkl2wmHZI5Q0+xTjK2R9807WNZXlc76m4z6Pa+YpjK1NTLjBcGwfTph35ZLLEG+KkRvo9/MKY2okxJoJYwn3uWNNru8jlvS1zZhvBixZf6GkjF1JjDZbFZuuAvzraO0TTqPWnETKKMGNJ5d2R5jFprEDsdOppmKNKDPgPosfPRbGEoTNi6C5g3yizSekpPuMI236ccJozHVEF0dNNS2YcrjvARGUNu+M36RTrWaeadWIRGReUoIrt2AluUNPJTK42zWLpXoJcumSExiDkv6j4hBbXBIsjtYqHpmP/Pl+k2JHezFRjOmUL1fayQ9QGKlhuecFKMQgnSIoFHzTWW60ASzRRn7J0RQWHknYtoSwZeH8SFIiIgeIElyZoHUR+ae9cmzTWCHvRjrl0gS5lH/M+EvQuD4pssOQTUE+RZBLjZ7Zn3cnSwb5nG8O801WY0aiwX59NMXEWOz8D6Kjo6l8DYuWdgq50J1w6YcCh+3LKLQtgaYFSmYiclCbtwnOGLMQ+ARwNnAosBu4Dvgna+2eAxpMJAqRFtdc5yfNhxFPTe3t5NSMJiIyrvk85noFsBL4MPB04I3AGcCP5jIoERGpD/O2BmetfQg4t2TSE8aYDwHXGWM6rLV9cxSaiIjUgflcgxtPB5AGhuY6EBERmd+CcKpzheYJY0wncB9wg7X23eXz0+l0GI1GZ72daDRKPp+fesF5oJ5ihfqKt55ihfqKt55ihfqKt55iherEG4vFJhxNd8CbKI0xnwY+OsViZ1lrby15Tyvw38AWXJ/cfoaGqlOpa29vp79OBm7UU6xQX/HWU6xQX/HWU6xQX/HWU6xQnXi7uromnDcXfXBXAj+YYpmNxSfGmDbgev/ypdbaVI3iEhGRBnLAE5y1djduyP+UjDHtwA24k8NebK2t3a1fRUSkoczbUZQ+ud2IG1jyN0Crb6oE2Gut3e8GFiIiIkXzdpCJMeZM4JYJZo/poxMRESk3bxOciIjIbNTbeXAiIiIVUYITEZGGpAQnIiINad6Ooqy12dytwBjzSuBTwBHAk8BHrbXX1jZiMMZcBLwOOAlYABxmrV0/xXsuAL43zqzmWp5TOJNY/fvmqmyTwBdxMTcDNwMXW2s3T/KeCzhAZWuMuRj4ELAceBh4r7X29kmWfzrwdeDZwF7gm8CnrLU173SfTqzGmDXAunFm/ZW19n9rFqTb9hnAB4Fn4i7ufqG19uop3jOX5TqteOe4bC/BXUvY4C6veA9wib/G8GTvq2r5Hsw1uBndrcAYcyrwE+CHwIn+8WfGmOfUMlivBXfqxGXTfN8Qbmcz8ncATpifdqxzXLZXAq/EJbjn4k5Puc4YM9X132petsaY1wJfAT6LO2C4C7jBGLN6guU7gJuAHcDJwLtxCef91YyrGrGWeDFjy/E3tYzTawMeAt4DDE+18FyWqzeteEvMRdmeCfwLcBrwfCAH/NpXLMZVi/I9aGtws7hbwXuBW6y1n/GvP2OMOctPf12t4gWw1l4JYIx51jTfGlprt1c/oonNMNb3Mgdla4xZALwVd0R8k592PrABeCHwq0nefiDK9v3A1dbaq/zrdxljXgy8A7hknOXfgDvAeLO1dhh4yBhzDPB+Y8yXa1zbmG6sRXvm4Dd6Pf4qScaYqyt4y1yW60ziLZqLsv3L0tf+/1Mv8Be4yy6Op+rlezDX4MZTyd0KTsXVTEr9CnekMl81G2M2GGM2G2OuM8acNNcBTWCuyvaZQLx029baTcCfK9h2TcvWGJPw8ZWXy42TxHYqcLvfSRT9Ctdqsaaa8ZWaYaxFvzDG7DTG3GmMeVVNApy9OSnXKpgPZduOyzc9kyxT9fJVgvP83Qo+BVxlrc1NsugyXBW61A4/fT6ywFuAl+NqQSngTmPMUXMa1fjmqmyXAXn2v4TcVNs+EGXbDUSZXrlMVI7FebUyk1gHcP1KrwHOwfV9/sQY88ZaBTkLc1WuMzWfyvYrwB+BuydZpurl23BNlLW6W0GZ8qpyMM60iswk3umw1t5NyY/KGHMX7of2Llwbd8VqHat3wMt2knmTbruaZVuB6ZbLeMuPN70WKo7VX5v2SyWTfm+M6cb9P5zqouxzYS7LdVrmS9kaY74MnA6cbq2d6t44VS3fhktw1P5uBdvZ/2hiCfsfeVTqSqYR72xZa/PGmN8DM6llXEltY52rsj0FV/PoBnaVbfu3lW5slmU7kd242uV0ymWicmSS91TDTGIdz++AC6sVVBXNVblW0wEtW2PMFcB5uAPfp6ZYvOrl23AJ7gDcreBu3KkFXyiZdjZutNi0TSfeajDGBMDxwJ+m+94DEOuclK0x5g9A1m/rP/y0VcAx09n2bMp2ItbajI/vbOBnJbPOBn4+wdvuBj5njGkqOWA7G9gKrK9WbFWKdTwnAtuqGFq1zEm5VtmJHKCyNcZ8BZfczrTWPlrBW6pevg2X4CpV6d0KjDE3A/daa4sjwL4C/Naf53Et8ApcM9fpByDmZbgjnLV+0rG+73CjtXbvePEaYy7FnYPyOO6zvhu3E37HfIuVOSpba22vMeY7wBeMMTuBPcCXgQeBX5d8prkq2y8D/26MuRe4E3g7ruP933wclwPPtta+wC//H8ClwNW+mXYt8A/AJw7A+VrTitUY82bcwcUDQAF4GfBO4CM1jrPYenOkfxkBVhtjTsT9/984z8p12vHOcdl+Azgft2/t8fsDgIFiReJAlO/BPMjkmbimqWOBx3BHNcW/0hFfR+DOHQHAWnsX7qjkzbgd4JuA11prf3cAYn477sf6Q//6f/zrv54oXqAT+BZuROCNuHP/zrDW3jvfYp3jsn0f8AvceXh34jroX1bWZzAnZWut/QnuVIl/wvXxnQ6cY63d4BdZ7mMrLt+LO/JdAfwe+AauL+bL1YyrGrF6/+TjvA/3/b/FWntFrWMFnoX7TT6AO7n/E/75J8eLdS7LdSbxenNVthfjRk7ezNh96wdLlql5+epuAiIi0pAO5hqciIg0MCU4ERFpSEpwIiLSkJTgRESkISnBiYhIQ1KCExGRhnTQnugtcqCV3IDyZdba62qw/luB3dbaiq8Yb4xZC7weuNJau69Kcfwn0G2tPXOSZa7Gne/4a2vt2WXzmoGduPufTXkTUpGJqAYncuBsw90S5I65DqTEWtzVIzrnYNsDwFnGmKVl0186B7FIA1INTuQAsdamcZf2EsfirnbxauDrJdPPA/4LV7MUmTElODko+Caxp+FqK1/A3UDxFtz18hYCVwHPxl126y3W2gdL3vsB3E53Le6eb/cC77PWPlGyzK24Czv/AnfppCW4S369zVq72S+zhrImSmPMeuA/cXc7fieuWe6XwMX+0kUYYy4Avge0l14QvPhea23p5Y9KP/PRwGW4uygv8tu+CviqtbZgjDmT0bsrrzPGAGyw1q7x718NfB54EdAE3A6821prS7ZxCPBN3DVDdwCfHi+WSfwEV7Zf9+trx9277DUowcksqYlSDiarccnnn4CLcNcc/RbwY//3KtxB34/9nQGKVuF2wC8H3oa7tc6dxpgFZet/DvD3wAf8+p/h1z+V1wEv9Ot+P/AS4NvT/3j7WYmrJV2MSxpX4a5fWLzY7v2MXhvwXFzz6SsAjDELcU2pBndd0dcArcCvfR9Z8e4Jv8QdOLzVx/4ev55K/Qg4zSdT/PZ7gNum91FF9qcanBxMFgKnWmufBDDGHA98CHiztfYaPy3AXRj6aFxtDmvt+4orMMZEgZtwgyBeDlxTsv4O4CXW2h6/7DLgCmNMs7V2eJK4mv37ildZH8Rdkf8Ya+2fZ/phrbU34y52W/xcdwAtuER6ubW2zxhTrI09YK1dX/L29+ES2okld3+4E3fbkrfgLoT7V8BJwCnFC2L72+U8ibvDQiUx/tkY83/Aa3E16/OAn+Kufi8yK0pwcjBZX0xuXrGJ8TfjTFuJT3DGmFOAT+FqZAtLll3LWPcVk5v3SMm6nmBiN5Xdi/AXuBu1nlyMYSaMMU3AJcAbcLXXeMm8mLU2N8nbX4hL5H3GmOJ+oh/4A+6q9uCadHeU3u3BWrvBJ7np+DFwnr9l0QsZvTq+yKyoiVIOJvvKXmfGmV6c1gQj/VA34m6K+3e4/qyTcTW4pgrXX75cuZ2lL3xtb4Cxt+aZic/hmiC/hWuiPJnRPrKpYurG1aqyZX9nAYf4ZZaVx+6NN20yP8YdPPwjsMVaq4E4UhWqwYlM7sW4Zr2XW2sHwdV+GFuTm60lpS98H1cbo3deLt7dOFH2vq4p1vtq4GvW2s+XrPslFca0FzeS8VPjzOv3j9spi91bAkzWJDuGtXadv0Hq+xh7N3eRWVGCE5lcM64/qLQ57zVU9//O2caYtpJmynOBEHfTR4DN/vEY3MhMjDHPwfX5TaYZSBdf+P7D88qWmaiWeTPucz48Sf/hfcClxpjnlPTBrcbVxu6cIrZyX8KNmrxmqgVFKqUEJzK53+BGTX7P9xEdh2v221fFbQwD/2OM+QKuWfILwLXW2mIf3r3AFuCrxpiP4WqPHwb6pljvTcA7jTFP4Gpk7wSSZcsUB5n8nTHmx8CQtfb/cHdRfiPwG2PM1/z2lwLPA+6w1v4IuB74E/AzY8xHcDXNTzL9JkqstT/FDS4RqRr1wYlMwu/sL8SdAnAdrpbxatx5a9XyY9w5ed8BrgRuwA27L8aQwQ2fL+DOmfsA8A7ccPrJvAt37to3gO8CDwGXly5grd2AS9jn4mpd/+2n7wZOAR4FrsD1Q34eWAA86JcJgb/GDab5ro/968Dd0/v4IrURhGE41zGIHLSmOllbRGZONTgREWlISnAiItKQ1EQpIiINSTU4ERFpSEpwIiLSkJTgRESkISnBiYhIQ1KCExGRhqQEJyIiDen/AwdKxeZrsRR1AAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1825,8 +2206,8 @@
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
-    "az.plot_hdi(marriage_counter_factual_x, m5_3_M_ppc[\"divorce\"], ax=ax)\n",
-    "ax.plot(marriage_counter_factual_x, m5_3_M_ppc[\"divorce\"].mean(0))\n",
+    "az.plot_hdi(marriage_counter_factual_x, m5_3_M_ppc.posterior_predictive[\"divorce\"], ax=ax)\n",
+    "ax.plot(marriage_counter_factual_x, m5_3_M_ppc.posterior_predictive[\"divorce\"].mean(dim = ['chain','draw']))\n",
     "ax.set_title(\"Total counterfactual effect M on D\")\n",
     "ax.set_xlabel(\"manipulated M\")\n",
     "ax.set_ylabel(\"counterfactual D\");"
@@ -1841,7 +2222,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1857,46 +2238,100 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
-     "ename": "NameError",
-     "evalue": "name 'm5_3_A_trace' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [43]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# Get the samples from Age Marriage model first\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m m5_3_A:\n\u001b[0;32m      3\u001b[0m     m5_3_M_marriage \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample_posterior_predictive(\n\u001b[1;32m----> 4\u001b[0m         \u001b[43mm5_3_A_trace\u001b[49m, var_names\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msigma_m\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maM\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbAM\u001b[39m\u001b[38;5;124m\"\u001b[39m], samples\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1000\u001b[39m\n\u001b[0;32m      5\u001b[0m     )\n",
-      "\u001b[1;31mNameError\u001b[0m: name 'm5_3_A_trace' is not defined"
-     ]
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
     "# Get the samples from Age Marriage model first\n",
     "with m5_3_A:\n",
     "    m5_3_M_marriage = pm.sample_posterior_predictive(\n",
-    "        m5_3_A_trace, var_names=[\"sigma_m\", \"aM\", \"bAM\"], samples=1000\n",
+    "        m5_3_A_trace, var_names=[\"sigma_m\", \"aM\", \"bAM\"]\n",
     "    )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(4000, 30)"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "marriage_mu_counterfactual = np.outer(m5_3_M_marriage[\"aM\"] + m5_3_M_marriage[\"bAM\"], A_seq)\n",
+    "marriage_mu_counterfactual = np.outer(m5_3_M_marriage.posterior_predictive[\"aM\"] + m5_3_M_marriage.posterior_predictive[\"bAM\"], A_seq)\n",
     "marriage_mu_counterfactual.shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(30, 4000)"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "M_sim = stats.norm(loc=marriage_mu_counterfactual.T, scale=m5_3_M_marriage[\"sigma_m\"]).rvs()\n",
+    "mu = marriage_mu_counterfactual.T\n",
+    "sigma = az.extract_dataset(m5_3_M_marriage.posterior_predictive[\"sigma_m\"]).to_array()\n",
+    "M_sim = stats.norm(loc=mu, scale=sigma).rvs()\n",
     "M_sim.shape"
    ]
   },
@@ -1909,28 +2344,73 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "with m5_3_A:\n",
     "    m5_3_M_divorce = pm.sample_posterior_predictive(\n",
-    "        m5_3_A_trace, var_names=[\"sigma\", \"bM\", \"bA\", \"a\"], samples=1000\n",
+    "        m5_3_A_trace, var_names=[\"sigma\", \"bM\", \"bA\", \"a\"]\n",
     "    )"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [],
    "source": [
-    "D_sim = np.zeros((30, 1000))\n",
-    "a, bM, bA = m5_3_M_divorce[\"a\"], m5_3_M_divorce[\"bM\"], m5_3_M_divorce[\"bA\"]\n",
+    "D_sim = np.zeros((30, 4000))\n",
+    "a =  np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"a\"]).to_array())\n",
+    "bM = np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"bM\"]).to_array())\n",
+    "bA = np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"bA\"]).to_array())\n",
+    "sigma = np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"sigma\"]).to_array())\n",
     "\n",
     "for i, age_counterfactual in enumerate(A_seq):\n",
     "    divorce_mu_counterfactual = a + bA * age_counterfactual + bM * M_sim[i, :]\n",
-    "    samples = stats.norm(divorce_mu_counterfactual, m5_3_M_divorce[\"sigma\"]).rvs()\n",
+    "    samples = stats.norm(divorce_mu_counterfactual, sigma).rvs()\n",
     "    D_sim[i, :] = samples"
    ]
   },
@@ -1943,7 +2423,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -2053,7 +2533,7 @@
        "4         53.22  2.19             NaN  "
       ]
      },
-     "execution_count": 47,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2072,7 +2552,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2090,29 +2570,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
-     "ename": "ValueError",
-     "evalue": "Length of Elemwise{mul,no_inplace}.0 cannot be determined",
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n"
+     ]
+    },
+    {
+     "ename": "SamplingError",
+     "evalue": "Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(0.58279121), 'bN': array(0.232042), 'a': array(0.11541897)}\n\nInitial evaluation results:\n{'sigma': -1.21, 'bN': -0.95, 'a': -0.93, 'K': nan}",
      "output_type": "error",
      "traceback": [
       "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [49]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m bN \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbN\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m      5\u001b[0m a \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m----> 6\u001b[0m mu \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mDeterministic(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmu\u001b[39m\u001b[38;5;124m\"\u001b[39m, a \u001b[38;5;241m+\u001b[39m \u001b[43mbN\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43md\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mN\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m)\n\u001b[0;32m      8\u001b[0m K \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m, mu, sigma, observed\u001b[38;5;241m=\u001b[39md[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m     10\u001b[0m m5_5_draft_trace \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39msample()\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\ops\\common.py:70\u001b[0m, in \u001b[0;36m_unpack_zerodim_and_defer.<locals>.new_method\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m     66\u001b[0m             \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mNotImplemented\u001b[39m\n\u001b[0;32m     68\u001b[0m other \u001b[38;5;241m=\u001b[39m item_from_zerodim(other)\n\u001b[1;32m---> 70\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mmethod\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\arraylike.py:120\u001b[0m, in \u001b[0;36mOpsMixin.__rmul__\u001b[1;34m(self, other)\u001b[0m\n\u001b[0;32m    118\u001b[0m \u001b[38;5;129m@unpack_zerodim_and_defer\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__rmul__\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    119\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__rmul__\u001b[39m(\u001b[38;5;28mself\u001b[39m, other):\n\u001b[1;32m--> 120\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mroperator\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrmul\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\series.py:5639\u001b[0m, in \u001b[0;36mSeries._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m   5637\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_arith_method\u001b[39m(\u001b[38;5;28mself\u001b[39m, other, op):\n\u001b[0;32m   5638\u001b[0m     \u001b[38;5;28mself\u001b[39m, other \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39malign_method_SERIES(\u001b[38;5;28mself\u001b[39m, other)\n\u001b[1;32m-> 5639\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mbase\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mIndexOpsMixin\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_arith_method\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mother\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mop\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\base.py:1297\u001b[0m, in \u001b[0;36mIndexOpsMixin._arith_method\u001b[1;34m(self, other, op)\u001b[0m\n\u001b[0;32m   1294\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m np\u001b[38;5;241m.\u001b[39merrstate(\u001b[38;5;28mall\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mignore\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m   1295\u001b[0m     result \u001b[38;5;241m=\u001b[39m ops\u001b[38;5;241m.\u001b[39marithmetic_op(lvalues, rvalues, op)\n\u001b[1;32m-> 1297\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_construct_result\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mres_name\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\series.py:3017\u001b[0m, in \u001b[0;36mSeries._construct_result\u001b[1;34m(self, result, name)\u001b[0m\n\u001b[0;32m   3013\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (res1, res2)\n\u001b[0;32m   3015\u001b[0m \u001b[38;5;66;03m# We do not pass dtype to ensure that the Series constructor\u001b[39;00m\n\u001b[0;32m   3016\u001b[0m \u001b[38;5;66;03m#  does inference in the case where `result` has object-dtype.\u001b[39;00m\n\u001b[1;32m-> 3017\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_constructor\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresult\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindex\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindex\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   3018\u001b[0m out \u001b[38;5;241m=\u001b[39m out\u001b[38;5;241m.\u001b[39m__finalize__(\u001b[38;5;28mself\u001b[39m)\n\u001b[0;32m   3020\u001b[0m \u001b[38;5;66;03m# Set the result's name after __finalize__ is called because __finalize__\u001b[39;00m\n\u001b[0;32m   3021\u001b[0m \u001b[38;5;66;03m#  would set it back to self.name\u001b[39;00m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\series.py:435\u001b[0m, in \u001b[0;36mSeries.__init__\u001b[1;34m(self, data, index, dtype, name, copy, fastpath)\u001b[0m\n\u001b[0;32m    433\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[0;32m    434\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 435\u001b[0m     data \u001b[38;5;241m=\u001b[39m \u001b[43mcom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmaybe_iterable_to_list\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdata\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    437\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m index \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    438\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_list_like(data):\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pandas\\core\\common.py:292\u001b[0m, in \u001b[0;36mmaybe_iterable_to_list\u001b[1;34m(obj)\u001b[0m\n\u001b[0;32m    288\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    289\u001b[0m \u001b[38;5;124;03mIf obj is Iterable but not list-like, consume into list.\u001b[39;00m\n\u001b[0;32m    290\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    291\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, abc\u001b[38;5;241m.\u001b[39mIterable) \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(obj, abc\u001b[38;5;241m.\u001b[39mSized):\n\u001b[1;32m--> 292\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    293\u001b[0m obj \u001b[38;5;241m=\u001b[39m cast(Collection, obj)\n\u001b[0;32m    294\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m obj\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\aesara\\tensor\\var.py:610\u001b[0m, in \u001b[0;36m_tensor_py_operators.__iter__\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    608\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__iter__\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    609\u001b[0m     \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m--> 610\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[43mat\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbasic\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_vector_length\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m):\n\u001b[0;32m    611\u001b[0m             \u001b[38;5;28;01myield\u001b[39;00m \u001b[38;5;28mself\u001b[39m[i]\n\u001b[0;32m    612\u001b[0m     \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[0;32m    613\u001b[0m         \u001b[38;5;66;03m# This prevents accidental iteration via sum(self)\u001b[39;00m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\aesara\\tensor\\__init__.py:79\u001b[0m, in \u001b[0;36mget_vector_length\u001b[1;34m(v)\u001b[0m\n\u001b[0;32m     76\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m v\u001b[38;5;241m.\u001b[39mtype\u001b[38;5;241m.\u001b[39mbroadcastable[\u001b[38;5;241m0\u001b[39m]:\n\u001b[0;32m     77\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_get_vector_length\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mgetattr\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mv\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mowner\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mop\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\functools.py:888\u001b[0m, in \u001b[0;36msingledispatch.<locals>.wrapper\u001b[1;34m(*args, **kw)\u001b[0m\n\u001b[0;32m    884\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m args:\n\u001b[0;32m    885\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfuncname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m requires at least \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    886\u001b[0m                     \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m1 positional argument\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m--> 888\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m dispatch(args[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\aesara\\tensor\\elemwise.py:1823\u001b[0m, in \u001b[0;36m_get_vector_length_Elemwise\u001b[1;34m(op, var)\u001b[0m\n\u001b[0;32m   1820\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(var\u001b[38;5;241m.\u001b[39mowner\u001b[38;5;241m.\u001b[39minputs) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(var\u001b[38;5;241m.\u001b[39mowner\u001b[38;5;241m.\u001b[39moutputs) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m   1821\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m get_vector_length(var\u001b[38;5;241m.\u001b[39mowner\u001b[38;5;241m.\u001b[39minputs[\u001b[38;5;241m0\u001b[39m])\n\u001b[1;32m-> 1823\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mLength of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mvar\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m cannot be determined\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
-      "\u001b[1;31mValueError\u001b[0m: Length of Elemwise{mul,no_inplace}.0 cannot be determined"
+      "\u001b[1;31mSamplingError\u001b[0m                             Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [48]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m mu \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mDeterministic(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmu\u001b[39m\u001b[38;5;124m\"\u001b[39m, a \u001b[38;5;241m+\u001b[39m bN \u001b[38;5;241m*\u001b[39m d[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mN\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[0;32m      8\u001b[0m K \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m, mu, sigma, observed\u001b[38;5;241m=\u001b[39md[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[1;32m---> 10\u001b[0m m5_5_draft_trace \u001b[38;5;241m=\u001b[39m \u001b[43mpm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:558\u001b[0m, in \u001b[0;36msample\u001b[1;34m(draws, step, init, n_init, initvals, trace, chain_idx, chains, cores, tune, progressbar, model, random_seed, discard_tuned_samples, compute_convergence_checks, callback, jitter_max_retries, return_inferencedata, idata_kwargs, mp_ctx, **kwargs)\u001b[0m\n\u001b[0;32m    556\u001b[0m \u001b[38;5;66;03m# One final check that shapes and logps at the starting points are okay.\u001b[39;00m\n\u001b[0;32m    557\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ip \u001b[38;5;129;01min\u001b[39;00m initial_points:\n\u001b[1;32m--> 558\u001b[0m     \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_start_vals\u001b[49m\u001b[43m(\u001b[49m\u001b[43mip\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    559\u001b[0m     _check_start_shape(model, ip)\n\u001b[0;32m    561\u001b[0m sample_args \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m    562\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdraws\u001b[39m\u001b[38;5;124m\"\u001b[39m: draws,\n\u001b[0;32m    563\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstep\u001b[39m\u001b[38;5;124m\"\u001b[39m: step,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    573\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdiscard_tuned_samples\u001b[39m\u001b[38;5;124m\"\u001b[39m: discard_tuned_samples,\n\u001b[0;32m    574\u001b[0m }\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\model.py:1725\u001b[0m, in \u001b[0;36mModel.check_start_vals\u001b[1;34m(self, start)\u001b[0m\n\u001b[0;32m   1722\u001b[0m initial_eval \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpoint_logps(point\u001b[38;5;241m=\u001b[39melem)\n\u001b[0;32m   1724\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mall\u001b[39m(np\u001b[38;5;241m.\u001b[39misfinite(v) \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m initial_eval\u001b[38;5;241m.\u001b[39mvalues()):\n\u001b[1;32m-> 1725\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m SamplingError(\n\u001b[0;32m   1726\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInitial evaluation of model at starting point failed!\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1727\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting values:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00melem\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1728\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInitial evaluation results:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00minitial_eval\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1729\u001b[0m     )\n",
+      "\u001b[1;31mSamplingError\u001b[0m: Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(0.58279121), 'bN': array(0.232042), 'a': array(0.11541897)}\n\nInitial evaluation results:\n{'sigma': -1.21, 'bN': -0.95, 'a': -0.93, 'K': nan}"
      ]
     }
    ],
@@ -2122,9 +2601,9 @@
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
     "    bN = pm.Normal(\"bN\", 0, 1)\n",
     "    a = pm.Normal(\"a\", 0, 1)\n",
-    "    mu = pm.Deterministic(\"mu\", a + bN * d[\"N\"])\n",
+    "    mu = pm.Deterministic(\"mu\", a + bN * d[\"N\"].values)\n",
     "\n",
-    "    K = pm.Normal(\"K\", mu, sigma, observed=d[\"K\"])\n",
+    "    K = pm.Normal(\"K\", mu, sigma, observed=d[\"K\"].values)\n",
     "\n",
     "    m5_5_draft_trace = pm.sample()"
    ]
@@ -2138,7 +2617,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -2176,7 +2655,7 @@
        "Name: neocortex.perc, dtype: float64"
       ]
      },
-     "execution_count": 50,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2194,7 +2673,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -2203,7 +2682,7 @@
        "(17, 11)"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 50,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2222,7 +2701,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
@@ -2280,7 +2759,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
      ]
     }
    ],
@@ -2307,7 +2786,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2319,12 +2798,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -2358,7 +2837,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
@@ -2438,7 +2917,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2450,12 +2929,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -2489,7 +2968,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -2527,38 +3006,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.035</td>\n",
-       "      <td>0.160</td>\n",
-       "      <td>-0.247</td>\n",
-       "      <td>0.332</td>\n",
+       "      <td>0.034</td>\n",
+       "      <td>0.164</td>\n",
+       "      <td>-0.269</td>\n",
+       "      <td>0.345</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>5125.0</td>\n",
-       "      <td>2961.0</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4916.0</td>\n",
+       "      <td>2810.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bN</th>\n",
-       "      <td>0.123</td>\n",
-       "      <td>0.250</td>\n",
-       "      <td>-0.329</td>\n",
-       "      <td>0.627</td>\n",
+       "      <td>0.127</td>\n",
+       "      <td>0.254</td>\n",
+       "      <td>-0.380</td>\n",
+       "      <td>0.590</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>4700.0</td>\n",
-       "      <td>2767.0</td>\n",
+       "      <td>4888.0</td>\n",
+       "      <td>3015.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>1.112</td>\n",
-       "      <td>0.205</td>\n",
-       "      <td>0.770</td>\n",
-       "      <td>1.492</td>\n",
+       "      <td>1.109</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>0.781</td>\n",
+       "      <td>1.493</td>\n",
        "      <td>0.003</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>4091.0</td>\n",
-       "      <td>2658.0</td>\n",
+       "      <td>4031.0</td>\n",
+       "      <td>2773.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2567,9 +3046,9 @@
       ],
       "text/plain": [
        "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "a      0.035  0.160  -0.247    0.332      0.002    0.002    5125.0    2961.0   \n",
-       "bN     0.123  0.250  -0.329    0.627      0.004    0.004    4700.0    2767.0   \n",
-       "sigma  1.112  0.205   0.770    1.492      0.003    0.002    4091.0    2658.0   \n",
+       "a      0.034  0.164  -0.269    0.345      0.002    0.003    4916.0    2810.0   \n",
+       "bN     0.127  0.254  -0.380    0.590      0.004    0.004    4888.0    3015.0   \n",
+       "sigma  1.109  0.201   0.781    1.493      0.003    0.002    4031.0    2773.0   \n",
        "\n",
        "       r_hat  \n",
        "a        1.0  \n",
@@ -2577,7 +3056,7 @@
        "sigma    1.0  "
       ]
      },
-     "execution_count": 66,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2595,7 +3074,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
@@ -2641,7 +3120,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -2683,7 +3162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
@@ -2779,38 +3258,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>bM</th>\n",
-       "      <td>-0.298</td>\n",
-       "      <td>0.243</td>\n",
-       "      <td>-0.742</td>\n",
-       "      <td>0.159</td>\n",
+       "      <td>-0.300</td>\n",
+       "      <td>0.247</td>\n",
+       "      <td>-0.789</td>\n",
+       "      <td>0.136</td>\n",
        "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4084.0</td>\n",
-       "      <td>2482.0</td>\n",
+       "      <td>4327.0</td>\n",
+       "      <td>2675.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.050</td>\n",
+       "      <td>0.046</td>\n",
        "      <td>0.159</td>\n",
-       "      <td>-0.253</td>\n",
-       "      <td>0.343</td>\n",
+       "      <td>-0.258</td>\n",
+       "      <td>0.330</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>4887.0</td>\n",
-       "      <td>2766.0</td>\n",
+       "      <td>4942.0</td>\n",
+       "      <td>2745.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>1.058</td>\n",
-       "      <td>0.196</td>\n",
-       "      <td>0.725</td>\n",
-       "      <td>1.422</td>\n",
+       "      <td>1.057</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>0.748</td>\n",
+       "      <td>1.441</td>\n",
+       "      <td>0.004</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>4198.0</td>\n",
-       "      <td>2698.0</td>\n",
+       "      <td>3703.0</td>\n",
+       "      <td>2937.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2819,9 +3298,9 @@
       ],
       "text/plain": [
        "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "bM    -0.298  0.243  -0.742    0.159      0.004    0.003    4084.0    2482.0   \n",
-       "a      0.050  0.159  -0.253    0.343      0.002    0.003    4887.0    2766.0   \n",
-       "sigma  1.058  0.196   0.725    1.422      0.003    0.002    4198.0    2698.0   \n",
+       "bM    -0.300  0.247  -0.789    0.136      0.004    0.003    4327.0    2675.0   \n",
+       "a      0.046  0.159  -0.258    0.330      0.002    0.003    4942.0    2745.0   \n",
+       "sigma  1.057  0.200   0.748    1.441      0.004    0.003    3703.0    2937.0   \n",
        "\n",
        "       r_hat  \n",
        "bM       1.0  \n",
@@ -2829,7 +3308,7 @@
        "sigma    1.0  "
       ]
      },
-     "execution_count": 75,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2860,7 +3339,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 60,
    "metadata": {},
    "outputs": [
     {
@@ -2903,7 +3382,7 @@
        "\n",
        "    <div>\n",
        "      <progress value='48000' class='' max='48000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [48000/48000 00:25<00:00 Sampling 4 chains, 0 divergences]\n",
+       "      100.00% [48000/48000 00:27<00:00 Sampling 4 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -2918,7 +3397,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 41 seconds.\n"
+      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 43 seconds.\n"
      ]
     },
     {
@@ -2956,50 +3435,50 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>a</th>\n",
-       "      <td>0.060</td>\n",
-       "      <td>0.152</td>\n",
-       "      <td>-0.225</td>\n",
-       "      <td>0.349</td>\n",
+       "      <td>0.061</td>\n",
+       "      <td>0.154</td>\n",
+       "      <td>-0.234</td>\n",
+       "      <td>0.344</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>29160.0</td>\n",
-       "      <td>25505.0</td>\n",
+       "      <td>33517.0</td>\n",
+       "      <td>27996.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bN</th>\n",
-       "      <td>0.381</td>\n",
-       "      <td>0.260</td>\n",
-       "      <td>-0.125</td>\n",
-       "      <td>0.856</td>\n",
+       "      <td>0.382</td>\n",
+       "      <td>0.257</td>\n",
+       "      <td>-0.099</td>\n",
+       "      <td>0.863</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>26423.0</td>\n",
-       "      <td>26277.0</td>\n",
+       "      <td>22799.0</td>\n",
+       "      <td>24643.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bM</th>\n",
-       "      <td>-0.514</td>\n",
-       "      <td>0.270</td>\n",
-       "      <td>-0.998</td>\n",
-       "      <td>0.021</td>\n",
+       "      <td>-0.515</td>\n",
+       "      <td>0.269</td>\n",
+       "      <td>-1.030</td>\n",
+       "      <td>-0.017</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>24977.0</td>\n",
-       "      <td>26219.0</td>\n",
+       "      <td>21132.0</td>\n",
+       "      <td>23336.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>0.970</td>\n",
-       "      <td>0.192</td>\n",
-       "      <td>0.649</td>\n",
-       "      <td>1.327</td>\n",
+       "      <td>0.968</td>\n",
+       "      <td>0.190</td>\n",
+       "      <td>0.643</td>\n",
+       "      <td>1.315</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>27814.0</td>\n",
-       "      <td>21981.0</td>\n",
+       "      <td>26637.0</td>\n",
+       "      <td>24458.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3008,10 +3487,10 @@
       ],
       "text/plain": [
        "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "a      0.060  0.152  -0.225    0.349      0.001    0.001   29160.0   25505.0   \n",
-       "bN     0.381  0.260  -0.125    0.856      0.002    0.001   26423.0   26277.0   \n",
-       "bM    -0.514  0.270  -0.998    0.021      0.002    0.001   24977.0   26219.0   \n",
-       "sigma  0.970  0.192   0.649    1.327      0.001    0.001   27814.0   21981.0   \n",
+       "a      0.061  0.154  -0.234    0.344      0.001    0.001   33517.0   27996.0   \n",
+       "bN     0.382  0.257  -0.099    0.863      0.002    0.001   22799.0   24643.0   \n",
+       "bM    -0.515  0.269  -1.030   -0.017      0.002    0.001   21132.0   23336.0   \n",
+       "sigma  0.968  0.190   0.643    1.315      0.001    0.001   26637.0   24458.0   \n",
        "\n",
        "       r_hat  \n",
        "a        1.0  \n",
@@ -3020,7 +3499,7 @@
        "sigma    1.0  "
       ]
      },
-     "execution_count": 77,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3057,54 +3536,11 @@
    "execution_count": 78,
    "metadata": {},
    "outputs": [
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [78]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[1;34m()\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43maz\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot_forest\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m      2\u001b[0m \u001b[43m    \u001b[49m\u001b[43m[\u001b[49m\u001b[43mm5_7_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mm5_6_data\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mm5_5_data\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[43mmodel_names\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mm5.7\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mm5.6\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mm5.5\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m      4\u001b[0m \u001b[43m    \u001b[49m\u001b[43mvar_names\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mbM\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mbN\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m      5\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcombined\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\n\u001b[0;32m      6\u001b[0m \u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\arviz\\plots\\forestplot.py:295\u001b[0m, in \u001b[0;36mplot_forest\u001b[1;34m(data, kind, model_names, var_names, filter_vars, transform, coords, combined, combine_dims, hdi_prob, rope, quartiles, ess, r_hat, colors, textsize, linewidth, markersize, legend, labeller, ridgeplot_alpha, ridgeplot_overlap, ridgeplot_kind, ridgeplot_truncate, ridgeplot_quantiles, figsize, ax, backend, backend_config, backend_kwargs, show)\u001b[0m\n\u001b[0;32m    293\u001b[0m \u001b[38;5;66;03m# TODO: Add backend kwargs\u001b[39;00m\n\u001b[0;32m    294\u001b[0m plot \u001b[38;5;241m=\u001b[39m get_plotting_function(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mplot_forest\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mforestplot\u001b[39m\u001b[38;5;124m\"\u001b[39m, backend)\n\u001b[1;32m--> 295\u001b[0m axes \u001b[38;5;241m=\u001b[39m plot(\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mplot_forest_kwargs)\n\u001b[0;32m    296\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m axes\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\arviz\\plots\\backends\\matplotlib\\forestplot.py:106\u001b[0m, in \u001b[0;36mplot_forest\u001b[1;34m(ax, datasets, var_names, model_names, combined, combine_dims, colors, figsize, width_ratios, linewidth, markersize, kind, ncols, hdi_prob, quartiles, rope, ridgeplot_overlap, ridgeplot_alpha, ridgeplot_kind, ridgeplot_truncate, ridgeplot_quantiles, textsize, legend, labeller, ess, r_hat, backend_kwargs, backend_config, show)\u001b[0m\n\u001b[0;32m    104\u001b[0m axes \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39matleast_1d(axes)\n\u001b[0;32m    105\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m kind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mforestplot\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m--> 106\u001b[0m     \u001b[43mplot_handler\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mforestplot\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    107\u001b[0m \u001b[43m        \u001b[49m\u001b[43mhdi_prob\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    108\u001b[0m \u001b[43m        \u001b[49m\u001b[43mquartiles\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    109\u001b[0m \u001b[43m        \u001b[49m\u001b[43mxt_labelsize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    110\u001b[0m \u001b[43m        \u001b[49m\u001b[43mtitlesize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    111\u001b[0m \u001b[43m        \u001b[49m\u001b[43mlinewidth\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    112\u001b[0m \u001b[43m        \u001b[49m\u001b[43mmarkersize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    113\u001b[0m \u001b[43m        \u001b[49m\u001b[43maxes\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    114\u001b[0m \u001b[43m        \u001b[49m\u001b[43mrope\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    115\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    116\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m kind \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mridgeplot\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m    117\u001b[0m     plot_handler\u001b[38;5;241m.\u001b[39mridgeplot(\n\u001b[0;32m    118\u001b[0m         hdi_prob,\n\u001b[0;32m    119\u001b[0m         ridgeplot_overlap,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    126\u001b[0m         axes[\u001b[38;5;241m0\u001b[39m],\n\u001b[0;32m    127\u001b[0m     )\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\arviz\\plots\\backends\\matplotlib\\forestplot.py:422\u001b[0m, in \u001b[0;36mPlotHandler.forestplot\u001b[1;34m(self, hdi_prob, quartiles, xt_labelsize, titlesize, linewidth, markersize, ax, rope)\u001b[0m\n\u001b[0;32m    418\u001b[0m         param_iter \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mzip\u001b[39m(\n\u001b[0;32m    419\u001b[0m             np\u001b[38;5;241m.\u001b[39mlinspace(\u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m linewidth, linewidth, mid, endpoint\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m::\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m], \u001b[38;5;28mrange\u001b[39m(mid)\n\u001b[0;32m    420\u001b[0m         )\n\u001b[0;32m    421\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m width, j \u001b[38;5;129;01min\u001b[39;00m param_iter:\n\u001b[1;32m--> 422\u001b[0m             \u001b[43max\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhlines\u001b[49m\u001b[43m(\u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[43mj\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvalues\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mj\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlinewidth\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mwidth\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcolor\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    423\u001b[0m         ax\u001b[38;5;241m.\u001b[39mplot(\n\u001b[0;32m    424\u001b[0m             values[mid],\n\u001b[0;32m    425\u001b[0m             y,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    429\u001b[0m             color\u001b[38;5;241m=\u001b[39mcolor,\n\u001b[0;32m    430\u001b[0m         )\n\u001b[0;32m    431\u001b[0m ax\u001b[38;5;241m.\u001b[39mtick_params(labelsize\u001b[38;5;241m=\u001b[39mxt_labelsize)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\__init__.py:1412\u001b[0m, in \u001b[0;36m_preprocess_data.<locals>.inner\u001b[1;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[0;32m   1409\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[0;32m   1410\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m   1411\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 1412\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m func(ax, \u001b[38;5;241m*\u001b[39m\u001b[38;5;28mmap\u001b[39m(sanitize_sequence, args), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1414\u001b[0m     bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m   1415\u001b[0m     auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[0;32m   1416\u001b[0m                   \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\axes\\_axes.py:1059\u001b[0m, in \u001b[0;36mAxes.hlines\u001b[1;34m(self, y, xmin, xmax, colors, linestyles, label, **kwargs)\u001b[0m\n\u001b[0;32m   1055\u001b[0m masked_verts[:, \u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m=\u001b[39m y\n\u001b[0;32m   1057\u001b[0m lines \u001b[38;5;241m=\u001b[39m mcoll\u001b[38;5;241m.\u001b[39mLineCollection(masked_verts, colors\u001b[38;5;241m=\u001b[39mcolors,\n\u001b[0;32m   1058\u001b[0m                              linestyles\u001b[38;5;241m=\u001b[39mlinestyles, label\u001b[38;5;241m=\u001b[39mlabel)\n\u001b[1;32m-> 1059\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43madd_collection\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlines\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mautolim\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m   1060\u001b[0m lines\u001b[38;5;241m.\u001b[39mupdate(kwargs)\n\u001b[0;32m   1062\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(y) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\axes\\_base.py:2242\u001b[0m, in \u001b[0;36m_AxesBase.add_collection\u001b[1;34m(self, collection, autolim)\u001b[0m\n\u001b[0;32m   2239\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_set_artist_props(collection)\n\u001b[0;32m   2241\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m collection\u001b[38;5;241m.\u001b[39mget_clip_path() \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m-> 2242\u001b[0m     \u001b[43mcollection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mset_clip_path\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpatch\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2244\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m autolim:\n\u001b[0;32m   2245\u001b[0m     \u001b[38;5;66;03m# Make sure viewLim is not stale (mostly to match\u001b[39;00m\n\u001b[0;32m   2246\u001b[0m     \u001b[38;5;66;03m# pre-lazy-autoscale behavior, which is not really better).\u001b[39;00m\n\u001b[0;32m   2247\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_unstale_viewLim()\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\artist.py:790\u001b[0m, in \u001b[0;36mArtist.set_clip_path\u001b[1;34m(self, path, transform)\u001b[0m\n\u001b[0;32m    787\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m transform \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    788\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(path, Rectangle):\n\u001b[0;32m    789\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mclipbox \u001b[38;5;241m=\u001b[39m TransformedBbox(Bbox\u001b[38;5;241m.\u001b[39munit(),\n\u001b[1;32m--> 790\u001b[0m                                        \u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m    791\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_clippath \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m    792\u001b[0m         success \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\patches.py:278\u001b[0m, in \u001b[0;36mPatch.get_transform\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    276\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_transform\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    277\u001b[0m     \u001b[38;5;124;03m\"\"\"Return the `~.transforms.Transform` applied to the `Patch`.\"\"\"\u001b[39;00m\n\u001b[1;32m--> 278\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_patch_transform\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m+\u001b[39m artist\u001b[38;5;241m.\u001b[39mArtist\u001b[38;5;241m.\u001b[39mget_transform(\u001b[38;5;28mself\u001b[39m)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\patches.py:760\u001b[0m, in \u001b[0;36mRectangle.get_patch_transform\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    753\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_patch_transform\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    754\u001b[0m     \u001b[38;5;66;03m# Note: This cannot be called until after this has been added to\u001b[39;00m\n\u001b[0;32m    755\u001b[0m     \u001b[38;5;66;03m# an Axes, otherwise unit conversion will fail. This makes it very\u001b[39;00m\n\u001b[0;32m    756\u001b[0m     \u001b[38;5;66;03m# important to call the accessor method and not directly access the\u001b[39;00m\n\u001b[0;32m    757\u001b[0m     \u001b[38;5;66;03m# transformation member variable.\u001b[39;00m\n\u001b[0;32m    758\u001b[0m     bbox \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_bbox()\n\u001b[0;32m    759\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m (transforms\u001b[38;5;241m.\u001b[39mBboxTransformTo(bbox)\n\u001b[1;32m--> 760\u001b[0m             \u001b[38;5;241m+\u001b[39m \u001b[43mtransforms\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mAffine2D\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrotate_deg_around\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    761\u001b[0m \u001b[43m                \u001b[49m\u001b[43mbbox\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mx0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbbox\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43my0\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mangle\u001b[49m\u001b[43m)\u001b[49m)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\transforms.py:2042\u001b[0m, in \u001b[0;36mAffine2D.rotate_deg_around\u001b[1;34m(self, x, y, degrees)\u001b[0m\n\u001b[0;32m   2040\u001b[0m \u001b[38;5;66;03m# Cast to float to avoid wraparound issues with uint8's\u001b[39;00m\n\u001b[0;32m   2041\u001b[0m x, y \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mfloat\u001b[39m(x), \u001b[38;5;28mfloat\u001b[39m(y)\n\u001b[1;32m-> 2042\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtranslate\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m-\u001b[39;49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrotate_deg\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdegrees\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mtranslate(x, y)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\transforms.py:2020\u001b[0m, in \u001b[0;36mAffine2D.rotate_deg\u001b[1;34m(self, degrees)\u001b[0m\n\u001b[0;32m   2012\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mrotate_deg\u001b[39m(\u001b[38;5;28mself\u001b[39m, degrees):\n\u001b[0;32m   2013\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m   2014\u001b[0m \u001b[38;5;124;03m    Add a rotation (in degrees) to this transform in place.\u001b[39;00m\n\u001b[0;32m   2015\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m   2018\u001b[0m \u001b[38;5;124;03m    and :meth:`scale`.\u001b[39;00m\n\u001b[0;32m   2019\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m-> 2020\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrotate\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mradians\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdegrees\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\transforms.py:2008\u001b[0m, in \u001b[0;36mAffine2D.rotate\u001b[1;34m(self, theta)\u001b[0m\n\u001b[0;32m   2005\u001b[0m b \u001b[38;5;241m=\u001b[39m math\u001b[38;5;241m.\u001b[39msin(theta)\n\u001b[0;32m   2006\u001b[0m rotate_mtx \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marray([[a, \u001b[38;5;241m-\u001b[39mb, \u001b[38;5;241m0.0\u001b[39m], [b, a, \u001b[38;5;241m0.0\u001b[39m], [\u001b[38;5;241m0.0\u001b[39m, \u001b[38;5;241m0.0\u001b[39m, \u001b[38;5;241m1.0\u001b[39m]],\n\u001b[0;32m   2007\u001b[0m                       \u001b[38;5;28mfloat\u001b[39m)\n\u001b[1;32m-> 2008\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mtx \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdot\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrotate_mtx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_mtx\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2009\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39minvalidate()\n\u001b[0;32m   2010\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n",
-      "File \u001b[1;32m<__array_function__ internals>:180\u001b[0m, in \u001b[0;36mdot\u001b[1;34m(*args, **kwargs)\u001b[0m\n",
-      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
-     ]
-    },
-    {
-     "ename": "ValueError",
-     "evalue": "Image size of 432x634248 pixels is too large. It must be less than 2^16 in each direction.",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\IPython\\core\\formatters.py:339\u001b[0m, in \u001b[0;36mBaseFormatter.__call__\u001b[1;34m(self, obj)\u001b[0m\n\u001b[0;32m    337\u001b[0m     \u001b[38;5;28;01mpass\u001b[39;00m\n\u001b[0;32m    338\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m--> 339\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mprinter\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    340\u001b[0m \u001b[38;5;66;03m# Finally look for special method names\u001b[39;00m\n\u001b[0;32m    341\u001b[0m method \u001b[38;5;241m=\u001b[39m get_real_method(obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mprint_method)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\IPython\\core\\pylabtools.py:151\u001b[0m, in \u001b[0;36mprint_figure\u001b[1;34m(fig, fmt, bbox_inches, base64, **kwargs)\u001b[0m\n\u001b[0;32m    148\u001b[0m     \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mbackend_bases\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m FigureCanvasBase\n\u001b[0;32m    149\u001b[0m     FigureCanvasBase(fig)\n\u001b[1;32m--> 151\u001b[0m fig\u001b[38;5;241m.\u001b[39mcanvas\u001b[38;5;241m.\u001b[39mprint_figure(bytes_io, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkw)\n\u001b[0;32m    152\u001b[0m data \u001b[38;5;241m=\u001b[39m bytes_io\u001b[38;5;241m.\u001b[39mgetvalue()\n\u001b[0;32m    153\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fmt \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msvg\u001b[39m\u001b[38;5;124m'\u001b[39m:\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backend_bases.py:2289\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[0;32m   2282\u001b[0m     bbox_inches \u001b[38;5;241m=\u001b[39m rcParams[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124msavefig.bbox\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m   2284\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mget_constrained_layout() \u001b[38;5;129;01mor\u001b[39;00m\n\u001b[0;32m   2285\u001b[0m         bbox_inches \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtight\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m   2286\u001b[0m     \u001b[38;5;66;03m# we need to trigger a draw before printing to make sure\u001b[39;00m\n\u001b[0;32m   2287\u001b[0m     \u001b[38;5;66;03m# CL works.  \"tight\" also needs a draw to get the right\u001b[39;00m\n\u001b[0;32m   2288\u001b[0m     \u001b[38;5;66;03m# locations:\u001b[39;00m\n\u001b[1;32m-> 2289\u001b[0m     renderer \u001b[38;5;241m=\u001b[39m \u001b[43m_get_renderer\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   2290\u001b[0m \u001b[43m        \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m   2291\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfunctools\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpartial\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m   2292\u001b[0m \u001b[43m            \u001b[49m\u001b[43mprint_method\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2293\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   2294\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(renderer, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_draw_disabled\u001b[39m\u001b[38;5;124m\"\u001b[39m, nullcontext)():\n\u001b[0;32m   2295\u001b[0m         \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mdraw(renderer)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backend_bases.py:1544\u001b[0m, in \u001b[0;36m_get_renderer\u001b[1;34m(figure, print_method)\u001b[0m\n\u001b[0;32m   1541\u001b[0m     print_method \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\n\u001b[0;32m   1542\u001b[0m         figure\u001b[38;5;241m.\u001b[39mcanvas\u001b[38;5;241m.\u001b[39m_get_output_canvas(\u001b[38;5;28;01mNone\u001b[39;00m, fmt), \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mprint_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfmt\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m   1543\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m-> 1544\u001b[0m     \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\u001b[43mio\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mBytesIO\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m   1545\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m Done \u001b[38;5;28;01mas\u001b[39;00m exc:\n\u001b[0;32m   1546\u001b[0m     renderer, \u001b[38;5;241m=\u001b[39m figure\u001b[38;5;241m.\u001b[39m_cachedRenderer, \u001b[38;5;241m=\u001b[39m exc\u001b[38;5;241m.\u001b[39margs\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backend_bases.py:1648\u001b[0m, in \u001b[0;36m_check_savefig_extra_args.<locals>.wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m   1640\u001b[0m     _api\u001b[38;5;241m.\u001b[39mwarn_deprecated(\n\u001b[0;32m   1641\u001b[0m         \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m3.3\u001b[39m\u001b[38;5;124m'\u001b[39m, name\u001b[38;5;241m=\u001b[39mname, removal\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m3.6\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m   1642\u001b[0m         message\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%(name)s\u001b[39;00m\u001b[38;5;124m() got unexpected keyword argument \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m   1643\u001b[0m                 \u001b[38;5;241m+\u001b[39m arg \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m which is no longer supported as of \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m   1644\u001b[0m                 \u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%(since)s\u001b[39;00m\u001b[38;5;124m and will become an error \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m   1645\u001b[0m                 \u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m%(removal)s\u001b[39;00m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m   1646\u001b[0m     kwargs\u001b[38;5;241m.\u001b[39mpop(arg)\n\u001b[1;32m-> 1648\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\_api\\deprecation.py:415\u001b[0m, in \u001b[0;36mdelete_parameter.<locals>.wrapper\u001b[1;34m(*inner_args, **inner_kwargs)\u001b[0m\n\u001b[0;32m    405\u001b[0m     deprecation_addendum \u001b[38;5;241m=\u001b[39m (\n\u001b[0;32m    406\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mIf any parameter follows \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[38;5;124m, they should be passed as \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    407\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkeyword, not positionally.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    408\u001b[0m     warn_deprecated(\n\u001b[0;32m    409\u001b[0m         since,\n\u001b[0;32m    410\u001b[0m         name\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mrepr\u001b[39m(name),\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    413\u001b[0m                  \u001b[38;5;28;01melse\u001b[39;00m deprecation_addendum,\n\u001b[0;32m    414\u001b[0m         \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m--> 415\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39minner_args, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39minner_kwargs)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:540\u001b[0m, in \u001b[0;36mFigureCanvasAgg.print_png\u001b[1;34m(self, filename_or_obj, metadata, pil_kwargs, *args)\u001b[0m\n\u001b[0;32m    490\u001b[0m \u001b[38;5;129m@_check_savefig_extra_args\u001b[39m\n\u001b[0;32m    491\u001b[0m \u001b[38;5;129m@_api\u001b[39m\u001b[38;5;241m.\u001b[39mdelete_parameter(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m3.5\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124margs\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    492\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mprint_png\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, \u001b[38;5;241m*\u001b[39margs,\n\u001b[0;32m    493\u001b[0m               metadata\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, pil_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m    494\u001b[0m     \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m    495\u001b[0m \u001b[38;5;124;03m    Write the figure to a PNG file.\u001b[39;00m\n\u001b[0;32m    496\u001b[0m \n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    538\u001b[0m \u001b[38;5;124;03m        *metadata*, including the default 'Software' key.\u001b[39;00m\n\u001b[0;32m    539\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 540\u001b[0m     \u001b[43mFigureCanvasAgg\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdraw\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m    541\u001b[0m     mpl\u001b[38;5;241m.\u001b[39mimage\u001b[38;5;241m.\u001b[39mimsave(\n\u001b[0;32m    542\u001b[0m         filename_or_obj, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuffer_rgba(), \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpng\u001b[39m\u001b[38;5;124m\"\u001b[39m, origin\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mupper\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m    543\u001b[0m         dpi\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure\u001b[38;5;241m.\u001b[39mdpi, metadata\u001b[38;5;241m=\u001b[39mmetadata, pil_kwargs\u001b[38;5;241m=\u001b[39mpil_kwargs)\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:431\u001b[0m, in \u001b[0;36mFigureCanvasAgg.draw\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    429\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdraw\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m    430\u001b[0m     \u001b[38;5;66;03m# docstring inherited\u001b[39;00m\n\u001b[1;32m--> 431\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrenderer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mget_renderer\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcleared\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[0;32m    432\u001b[0m     \u001b[38;5;66;03m# Acquire a lock on the shared font cache.\u001b[39;00m\n\u001b[0;32m    433\u001b[0m     \u001b[38;5;28;01mwith\u001b[39;00m RendererAgg\u001b[38;5;241m.\u001b[39mlock, \\\n\u001b[0;32m    434\u001b[0m          (\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtoolbar\u001b[38;5;241m.\u001b[39m_wait_cursor_for_draw_cm() \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mtoolbar\n\u001b[0;32m    435\u001b[0m           \u001b[38;5;28;01melse\u001b[39;00m nullcontext()):\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:447\u001b[0m, in \u001b[0;36mFigureCanvasAgg.get_renderer\u001b[1;34m(self, cleared)\u001b[0m\n\u001b[0;32m    444\u001b[0m reuse_renderer \u001b[38;5;241m=\u001b[39m (\u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrenderer\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    445\u001b[0m                   \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_lastKey\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m) \u001b[38;5;241m==\u001b[39m key)\n\u001b[0;32m    446\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m reuse_renderer:\n\u001b[1;32m--> 447\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrenderer \u001b[38;5;241m=\u001b[39m \u001b[43mRendererAgg\u001b[49m\u001b[43m(\u001b[49m\u001b[43mw\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mh\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    448\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lastKey \u001b[38;5;241m=\u001b[39m key\n\u001b[0;32m    449\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m cleared:\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\matplotlib\\backends\\backend_agg.py:93\u001b[0m, in \u001b[0;36mRendererAgg.__init__\u001b[1;34m(self, width, height, dpi)\u001b[0m\n\u001b[0;32m     91\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mwidth \u001b[38;5;241m=\u001b[39m width\n\u001b[0;32m     92\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mheight \u001b[38;5;241m=\u001b[39m height\n\u001b[1;32m---> 93\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_renderer \u001b[38;5;241m=\u001b[39m \u001b[43m_RendererAgg\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mwidth\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mheight\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     94\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filter_renderers \u001b[38;5;241m=\u001b[39m []\n\u001b[0;32m     96\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_update_methods()\n",
-      "\u001b[1;31mValueError\u001b[0m: Image size of 432x634248 pixels is too large. It must be less than 2^16 in each direction."
-     ]
-    },
     {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 432x634248 with 1 Axes>"
+       "<Figure size 432x676.8 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -3115,7 +3551,7 @@
    ],
    "source": [
     "az.plot_forest(\n",
-    "    [m5_7_data, m5_6_data, m5_5_data],\n",
+    "    [m5_7_trace, m5_6_trace, m5_5_trace],\n",
     "    model_names=[\"m5.7\", \"m5.6\", \"m5.5\"],\n",
     "    var_names=[\"bM\", \"bN\"],\n",
     "    combined=True,\n",
@@ -3132,7 +3568,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 62,
    "metadata": {},
    "outputs": [
     {
@@ -3178,7 +3614,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -3222,7 +3658,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 63,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3238,12 +3674,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 64,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 993.6x662.4 with 3 Axes>"
       ]
@@ -3255,6 +3691,7 @@
     }
    ],
    "source": [
+    "# Professor McElreath suggests viewing the pair plots\n",
     "az.plot_pair({\"M\": M, \"N\": N, \"K\": K});"
    ]
   },
@@ -3267,7 +3704,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 65,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3300,7 +3737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [
     {
@@ -3379,7 +3816,7 @@
        "4  145.415  41.276872  51.0     0"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3398,7 +3835,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 67,
    "metadata": {},
    "outputs": [
     {
@@ -3431,17 +3868,17 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>mu_female</th>\n",
-       "      <td>178.347</td>\n",
-       "      <td>19.922</td>\n",
-       "      <td>142.946</td>\n",
-       "      <td>216.587</td>\n",
+       "      <td>176.918</td>\n",
+       "      <td>19.091</td>\n",
+       "      <td>141.103</td>\n",
+       "      <td>212.153</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_male</th>\n",
-       "      <td>176.951</td>\n",
-       "      <td>22.905</td>\n",
-       "      <td>134.581</td>\n",
-       "      <td>218.783</td>\n",
+       "      <td>177.696</td>\n",
+       "      <td>22.989</td>\n",
+       "      <td>135.588</td>\n",
+       "      <td>221.674</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -3449,11 +3886,11 @@
       ],
       "text/plain": [
        "              mean      sd   hdi_3%  hdi_97%\n",
-       "mu_female  178.347  19.922  142.946  216.587\n",
-       "mu_male    176.951  22.905  134.581  218.783"
+       "mu_female  176.918  19.091  141.103  212.153\n",
+       "mu_male    177.696  22.989  135.588  221.674"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3474,7 +3911,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3490,7 +3927,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 69,
    "metadata": {},
    "outputs": [
     {
@@ -3533,7 +3970,7 @@
        "\n",
        "    <div>\n",
        "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:06<00:00 Sampling 4 chains, 0 divergences]\n",
+       "      100.00% [8000/8000 00:07<00:00 Sampling 4 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -3548,7 +3985,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 26 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 23 seconds.\n"
      ]
     },
     {
@@ -3586,38 +4023,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>mu[0]</th>\n",
-       "      <td>134.917</td>\n",
-       "      <td>1.659</td>\n",
-       "      <td>131.841</td>\n",
-       "      <td>138.012</td>\n",
-       "      <td>0.023</td>\n",
+       "      <td>134.873</td>\n",
+       "      <td>1.621</td>\n",
+       "      <td>131.832</td>\n",
+       "      <td>137.855</td>\n",
+       "      <td>0.022</td>\n",
        "      <td>0.016</td>\n",
-       "      <td>5223.0</td>\n",
-       "      <td>2650.0</td>\n",
+       "      <td>5367.0</td>\n",
+       "      <td>3112.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu[1]</th>\n",
-       "      <td>142.589</td>\n",
-       "      <td>1.721</td>\n",
-       "      <td>139.319</td>\n",
-       "      <td>145.866</td>\n",
-       "      <td>0.023</td>\n",
+       "      <td>142.543</td>\n",
+       "      <td>1.739</td>\n",
+       "      <td>139.406</td>\n",
+       "      <td>145.881</td>\n",
+       "      <td>0.024</td>\n",
        "      <td>0.017</td>\n",
-       "      <td>5374.0</td>\n",
-       "      <td>2637.0</td>\n",
+       "      <td>5314.0</td>\n",
+       "      <td>2659.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>27.419</td>\n",
-       "      <td>0.839</td>\n",
-       "      <td>25.822</td>\n",
-       "      <td>28.919</td>\n",
+       "      <td>27.404</td>\n",
+       "      <td>0.867</td>\n",
+       "      <td>25.847</td>\n",
+       "      <td>29.121</td>\n",
        "      <td>0.012</td>\n",
        "      <td>0.009</td>\n",
-       "      <td>4779.0</td>\n",
-       "      <td>2871.0</td>\n",
+       "      <td>5017.0</td>\n",
+       "      <td>3106.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3626,17 +4063,17 @@
       ],
       "text/plain": [
        "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "mu[0]  134.917  1.659  131.841  138.012      0.023    0.016    5223.0   \n",
-       "mu[1]  142.589  1.721  139.319  145.866      0.023    0.017    5374.0   \n",
-       "sigma   27.419  0.839   25.822   28.919      0.012    0.009    4779.0   \n",
+       "mu[0]  134.873  1.621  131.832  137.855      0.022    0.016    5367.0   \n",
+       "mu[1]  142.543  1.739  139.406  145.881      0.024    0.017    5314.0   \n",
+       "sigma   27.404  0.867   25.847   29.121      0.012    0.009    5017.0   \n",
        "\n",
        "       ess_tail  r_hat  \n",
-       "mu[0]    2650.0    1.0  \n",
-       "mu[1]    2637.0    1.0  \n",
-       "sigma    2871.0    1.0  "
+       "mu[0]    3112.0    1.0  \n",
+       "mu[1]    2659.0    1.0  \n",
+       "sigma    3106.0    1.0  "
       ]
      },
-     "execution_count": 87,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3660,7 +4097,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 70,
    "metadata": {},
    "outputs": [
     {
@@ -3703,7 +4140,7 @@
        "\n",
        "    <div>\n",
        "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:06<00:00 Sampling 4 chains, 0 divergences]\n",
+       "      100.00% [8000/8000 00:07<00:00 Sampling 4 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -3718,7 +4155,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n"
      ]
     },
     {
@@ -3756,50 +4193,50 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>mu[0]</th>\n",
-       "      <td>134.905</td>\n",
-       "      <td>1.611</td>\n",
-       "      <td>131.675</td>\n",
-       "      <td>137.702</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>4446.0</td>\n",
-       "      <td>2397.0</td>\n",
+       "      <td>134.909</td>\n",
+       "      <td>1.686</td>\n",
+       "      <td>131.974</td>\n",
+       "      <td>138.318</td>\n",
+       "      <td>0.022</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>5894.0</td>\n",
+       "      <td>2804.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu[1]</th>\n",
-       "      <td>142.549</td>\n",
-       "      <td>1.812</td>\n",
-       "      <td>139.378</td>\n",
-       "      <td>146.043</td>\n",
+       "      <td>142.587</td>\n",
+       "      <td>1.743</td>\n",
+       "      <td>139.298</td>\n",
+       "      <td>145.853</td>\n",
        "      <td>0.024</td>\n",
        "      <td>0.017</td>\n",
-       "      <td>5731.0</td>\n",
-       "      <td>2735.0</td>\n",
+       "      <td>5083.0</td>\n",
+       "      <td>3140.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>sigma</th>\n",
-       "      <td>27.427</td>\n",
-       "      <td>0.839</td>\n",
-       "      <td>25.946</td>\n",
-       "      <td>29.074</td>\n",
-       "      <td>0.012</td>\n",
+       "      <td>27.422</td>\n",
+       "      <td>0.831</td>\n",
+       "      <td>25.852</td>\n",
+       "      <td>28.988</td>\n",
+       "      <td>0.011</td>\n",
        "      <td>0.008</td>\n",
-       "      <td>5345.0</td>\n",
-       "      <td>2909.0</td>\n",
+       "      <td>5466.0</td>\n",
+       "      <td>2358.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>diff</th>\n",
-       "      <td>-7.644</td>\n",
-       "      <td>2.376</td>\n",
-       "      <td>-12.163</td>\n",
-       "      <td>-3.384</td>\n",
-       "      <td>0.033</td>\n",
+       "      <td>-7.678</td>\n",
+       "      <td>2.429</td>\n",
+       "      <td>-12.056</td>\n",
+       "      <td>-2.979</td>\n",
+       "      <td>0.032</td>\n",
        "      <td>0.024</td>\n",
-       "      <td>5343.0</td>\n",
-       "      <td>2818.0</td>\n",
+       "      <td>5652.0</td>\n",
+       "      <td>3274.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -3808,19 +4245,19 @@
       ],
       "text/plain": [
        "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "mu[0]  134.905  1.611  131.675  137.702      0.024    0.017    4446.0   \n",
-       "mu[1]  142.549  1.812  139.378  146.043      0.024    0.017    5731.0   \n",
-       "sigma   27.427  0.839   25.946   29.074      0.012    0.008    5345.0   \n",
-       "diff    -7.644  2.376  -12.163   -3.384      0.033    0.024    5343.0   \n",
+       "mu[0]  134.909  1.686  131.974  138.318      0.022    0.016    5894.0   \n",
+       "mu[1]  142.587  1.743  139.298  145.853      0.024    0.017    5083.0   \n",
+       "sigma   27.422  0.831   25.852   28.988      0.011    0.008    5466.0   \n",
+       "diff    -7.678  2.429  -12.056   -2.979      0.032    0.024    5652.0   \n",
        "\n",
        "       ess_tail  r_hat  \n",
-       "mu[0]    2397.0    1.0  \n",
-       "mu[1]    2735.0    1.0  \n",
-       "sigma    2909.0    1.0  \n",
-       "diff     2818.0    1.0  "
+       "mu[0]    2804.0    1.0  \n",
+       "mu[1]    3140.0    1.0  \n",
+       "sigma    2358.0    1.0  \n",
+       "diff     3274.0    1.0  "
       ]
      },
-     "execution_count": 88,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3848,7 +4285,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [
     {
@@ -3958,7 +4395,7 @@
        "4         53.22  2.19             NaN  "
       ]
      },
-     "execution_count": 89,
+     "execution_count": 71,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3977,7 +4414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3993,7 +4430,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 93,
+   "execution_count": 73,
    "metadata": {},
    "outputs": [
     {
@@ -4002,7 +4439,7 @@
        "4"
       ]
      },
-     "execution_count": 93,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4013,7 +4450,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 95,
+   "execution_count": 74,
    "metadata": {},
    "outputs": [
     {
@@ -4056,7 +4493,7 @@
        "\n",
        "    <div>\n",
        "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:05<00:00 Sampling 4 chains, 0 divergences]\n",
+       "      100.00% [8000/8000 00:08<00:00 Sampling 4 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -4071,12 +4508,12 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x316.8 with 1 Axes>"
       ]
@@ -4109,7 +4546,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 96,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4125,7 +4562,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 98,
+   "execution_count": 76,
    "metadata": {},
    "outputs": [
     {
@@ -4168,7 +4605,7 @@
        "\n",
        "    <div>\n",
        "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:07<00:00 Sampling 4 chains, 0 divergences]\n",
+       "      100.00% [8000/8000 00:08<00:00 Sampling 4 chains, 0 divergences]\n",
        "    </div>\n",
        "    "
       ],
@@ -4183,7 +4620,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n"
      ]
     },
     {
@@ -4221,98 +4658,98 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>mu_clade[0]</th>\n",
-       "      <td>-0.566</td>\n",
-       "      <td>0.285</td>\n",
-       "      <td>-1.122</td>\n",
-       "      <td>-0.037</td>\n",
+       "      <td>-0.355</td>\n",
+       "      <td>0.277</td>\n",
+       "      <td>-0.910</td>\n",
+       "      <td>0.132</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3013.0</td>\n",
-       "      <td>3275.0</td>\n",
+       "      <td>3149.0</td>\n",
+       "      <td>2945.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_clade[1]</th>\n",
-       "      <td>0.388</td>\n",
-       "      <td>0.278</td>\n",
-       "      <td>-0.124</td>\n",
-       "      <td>0.912</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3204.0</td>\n",
-       "      <td>3134.0</td>\n",
+       "      <td>0.367</td>\n",
+       "      <td>0.294</td>\n",
+       "      <td>-0.155</td>\n",
+       "      <td>0.955</td>\n",
+       "      <td>0.006</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>2662.0</td>\n",
+       "      <td>2932.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_clade[2]</th>\n",
-       "      <td>0.712</td>\n",
-       "      <td>0.294</td>\n",
-       "      <td>0.113</td>\n",
-       "      <td>1.210</td>\n",
-       "      <td>0.006</td>\n",
+       "      <td>0.565</td>\n",
+       "      <td>0.308</td>\n",
+       "      <td>-0.009</td>\n",
+       "      <td>1.132</td>\n",
+       "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>2822.0</td>\n",
-       "      <td>2996.0</td>\n",
+       "      <td>3616.0</td>\n",
+       "      <td>2974.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_clade[3]</th>\n",
-       "      <td>-0.520</td>\n",
-       "      <td>0.309</td>\n",
-       "      <td>-1.098</td>\n",
-       "      <td>0.071</td>\n",
+       "      <td>-0.467</td>\n",
+       "      <td>0.319</td>\n",
+       "      <td>-1.030</td>\n",
+       "      <td>0.152</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3286.0</td>\n",
-       "      <td>3184.0</td>\n",
+       "      <td>3505.0</td>\n",
+       "      <td>3171.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_house[0]</th>\n",
-       "      <td>0.215</td>\n",
-       "      <td>0.296</td>\n",
-       "      <td>-0.343</td>\n",
-       "      <td>0.759</td>\n",
-       "      <td>0.005</td>\n",
+       "      <td>0.117</td>\n",
+       "      <td>0.325</td>\n",
+       "      <td>-0.522</td>\n",
+       "      <td>0.685</td>\n",
+       "      <td>0.006</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3477.0</td>\n",
-       "      <td>3128.0</td>\n",
+       "      <td>3472.0</td>\n",
+       "      <td>3127.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_house[1]</th>\n",
-       "      <td>0.160</td>\n",
-       "      <td>0.311</td>\n",
-       "      <td>-0.418</td>\n",
-       "      <td>0.741</td>\n",
+       "      <td>-0.358</td>\n",
+       "      <td>0.278</td>\n",
+       "      <td>-0.877</td>\n",
+       "      <td>0.158</td>\n",
        "      <td>0.005</td>\n",
        "      <td>0.004</td>\n",
-       "      <td>3265.0</td>\n",
-       "      <td>3020.0</td>\n",
+       "      <td>3046.0</td>\n",
+       "      <td>3150.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_house[2]</th>\n",
-       "      <td>-0.471</td>\n",
-       "      <td>0.278</td>\n",
-       "      <td>-0.974</td>\n",
-       "      <td>0.060</td>\n",
+       "      <td>0.049</td>\n",
+       "      <td>0.279</td>\n",
+       "      <td>-0.472</td>\n",
+       "      <td>0.567</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3269.0</td>\n",
-       "      <td>3085.0</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>2796.0</td>\n",
+       "      <td>3117.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mu_house[3]</th>\n",
-       "      <td>0.153</td>\n",
-       "      <td>0.279</td>\n",
-       "      <td>-0.376</td>\n",
-       "      <td>0.674</td>\n",
+       "      <td>0.283</td>\n",
+       "      <td>0.335</td>\n",
+       "      <td>-0.368</td>\n",
+       "      <td>0.896</td>\n",
+       "      <td>0.006</td>\n",
        "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>2999.0</td>\n",
-       "      <td>2986.0</td>\n",
+       "      <td>3482.0</td>\n",
+       "      <td>3126.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -4321,27 +4758,27 @@
       ],
       "text/plain": [
        "              mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "mu_clade[0] -0.566  0.285  -1.122   -0.037      0.005    0.004    3013.0   \n",
-       "mu_clade[1]  0.388  0.278  -0.124    0.912      0.005    0.003    3204.0   \n",
-       "mu_clade[2]  0.712  0.294   0.113    1.210      0.006    0.004    2822.0   \n",
-       "mu_clade[3] -0.520  0.309  -1.098    0.071      0.005    0.004    3286.0   \n",
-       "mu_house[0]  0.215  0.296  -0.343    0.759      0.005    0.004    3477.0   \n",
-       "mu_house[1]  0.160  0.311  -0.418    0.741      0.005    0.004    3265.0   \n",
-       "mu_house[2] -0.471  0.278  -0.974    0.060      0.005    0.003    3269.0   \n",
-       "mu_house[3]  0.153  0.279  -0.376    0.674      0.005    0.004    2999.0   \n",
+       "mu_clade[0] -0.355  0.277  -0.910    0.132      0.005    0.004    3149.0   \n",
+       "mu_clade[1]  0.367  0.294  -0.155    0.955      0.006    0.004    2662.0   \n",
+       "mu_clade[2]  0.565  0.308  -0.009    1.132      0.005    0.004    3616.0   \n",
+       "mu_clade[3] -0.467  0.319  -1.030    0.152      0.005    0.004    3505.0   \n",
+       "mu_house[0]  0.117  0.325  -0.522    0.685      0.006    0.004    3472.0   \n",
+       "mu_house[1] -0.358  0.278  -0.877    0.158      0.005    0.004    3046.0   \n",
+       "mu_house[2]  0.049  0.279  -0.472    0.567      0.005    0.004    2796.0   \n",
+       "mu_house[3]  0.283  0.335  -0.368    0.896      0.006    0.005    3482.0   \n",
        "\n",
        "             ess_tail  r_hat  \n",
-       "mu_clade[0]    3275.0    1.0  \n",
-       "mu_clade[1]    3134.0    1.0  \n",
-       "mu_clade[2]    2996.0    1.0  \n",
-       "mu_clade[3]    3184.0    1.0  \n",
-       "mu_house[0]    3128.0    1.0  \n",
-       "mu_house[1]    3020.0    1.0  \n",
-       "mu_house[2]    3085.0    1.0  \n",
-       "mu_house[3]    2986.0    1.0  "
+       "mu_clade[0]    2945.0    1.0  \n",
+       "mu_clade[1]    2932.0    1.0  \n",
+       "mu_clade[2]    2974.0    1.0  \n",
+       "mu_clade[3]    3171.0    1.0  \n",
+       "mu_house[0]    3127.0    1.0  \n",
+       "mu_house[1]    3150.0    1.0  \n",
+       "mu_house[2]    3117.0    1.0  \n",
+       "mu_house[3]    3126.0    1.0  "
       ]
      },
-     "execution_count": 98,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -4362,9 +4799,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 77,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Last updated: Mon Jul 04 2022\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.9.13\n",
+      "IPython version      : 8.4.0\n",
+      "\n",
+      "arviz     : 0.12.1\n",
+      "numpy     : 1.22.1\n",
+      "daft      : 0.1.2\n",
+      "scipy     : 1.7.3\n",
+      "matplotlib: 3.5.2\n",
+      "pandas    : 1.4.2\n",
+      "pymc      : 4.0.0\n",
+      "\n",
+      "Watermark: 2.3.1\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "%load_ext watermark\n",
     "%watermark -n -u -v -iv -w"

From da4fac83caad340b57f267a69683d93b519bede6 Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Sat, 9 Jul 2022 14:50:55 -0500
Subject: [PATCH 03/10] remove theano dependancy

---
 Rethinking_2/Chp_05.ipynb | 3219 ++-----------------------------------
 1 file changed, 124 insertions(+), 3095 deletions(-)

diff --git a/Rethinking_2/Chp_05.ipynb b/Rethinking_2/Chp_05.ipynb
index cabaefd9..df114801 100644
--- a/Rethinking_2/Chp_05.ipynb
+++ b/Rethinking_2/Chp_05.ipynb
@@ -34,7 +34,6 @@
     "from causalgraphicalmodels import CausalGraphicalModel\n",
     "from scipy import stats\n",
     "from scipy.interpolate import griddata\n",
-    "# from theano import shared\n",
     "from aesara import shared\n",
     "\n",
     "warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
@@ -375,7 +374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -387,54 +386,6 @@
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [a, bA, sigma]\n"
      ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
-     ]
     }
    ],
    "source": [
@@ -453,22 +404,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x288 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "az.plot_trace(m_5_1_trace, var_names=[\"a\", \"bA\"]);"
    ]
@@ -482,22 +420,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -524,27 +449,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(4, 1000)"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "m_5_1_trace.posterior[\"bA\"].shape\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -564,22 +478,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Now I need to take average of mu and plot\n",
     "# I should get 30 averages, one for each x\n",
@@ -601,68 +502,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [a, bM, sigma]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "with pm.Model() as m_5_2:\n",
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
@@ -679,22 +521,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x288 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "az.plot_trace(m_5_2_trace, var_names=[\"bM\", \"a\"]);"
    ]
@@ -734,28 +563,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\mason\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\IPython\\core\\pylabtools.py:151: UserWarning: There are no gridspecs with layoutgrids. Possibly did not call parent GridSpec with the \"figure\" keyword\n",
-      "  fig.canvas.print_figure(bytes_io, **kw)\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 153.071x96.378 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dag5_1 = CausalGraphicalModel(nodes=[\"A\", \"D\", \"M\"], edges=[(\"A\", \"D\"), (\"A\", \"M\"), (\"M\", \"D\")])\n",
     "pgm = daft.PGM()\n",
@@ -791,20 +601,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 153.071x96.378 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Note - There is no explicit code section for drawing the second DAG\n",
     "# but the figure appears in the book and hence drawing it as well\n",
@@ -828,17 +627,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "P(A)P(D|A)P(M|A)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(dag5_2.get_distribution())"
    ]
@@ -852,37 +643,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[('D', 'M', {'A'})]"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dag5_2.get_all_independence_relationships()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "('D', 'M', {'A'})\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "DMA_dag2 = CausalGraphicalModel(nodes=[\"A\", \"D\", \"M\"], edges=[(\"A\", \"D\"), (\"A\", \"M\")])\n",
     "all_independencies = DMA_dag2.get_all_independence_relationships()\n",
@@ -911,7 +683,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -942,68 +714,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [a, bA, bM, sigma]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:06<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 22 seconds.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "with pm.Model() as m_5_3:\n",
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
@@ -1022,113 +735,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "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>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>a</th>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.099</td>\n",
-       "      <td>-0.183</td>\n",
-       "      <td>0.182</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3744.0</td>\n",
-       "      <td>3405.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>bM</th>\n",
-       "      <td>-0.064</td>\n",
-       "      <td>0.162</td>\n",
-       "      <td>-0.368</td>\n",
-       "      <td>0.236</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>2031.0</td>\n",
-       "      <td>2245.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>bA</th>\n",
-       "      <td>-0.609</td>\n",
-       "      <td>0.162</td>\n",
-       "      <td>-0.928</td>\n",
-       "      <td>-0.314</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>1859.0</td>\n",
-       "      <td>2540.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sigma</th>\n",
-       "      <td>0.826</td>\n",
-       "      <td>0.090</td>\n",
-       "      <td>0.670</td>\n",
-       "      <td>1.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>3628.0</td>\n",
-       "      <td>2402.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "a      0.000  0.099  -0.183    0.182      0.002    0.001    3744.0    3405.0   \n",
-       "bM    -0.064  0.162  -0.368    0.236      0.004    0.003    2031.0    2245.0   \n",
-       "bA    -0.609  0.162  -0.928   -0.314      0.004    0.003    1859.0    2540.0   \n",
-       "sigma  0.826  0.090   0.670    1.002      0.001    0.001    3628.0    2402.0   \n",
-       "\n",
-       "       r_hat  \n",
-       "a        1.0  \n",
-       "bM       1.0  \n",
-       "bA       1.0  \n",
-       "sigma    1.0  "
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "az.summary(m_5_3_trace, var_names=[\"a\", \"bM\", \"bA\", \"sigma\"])"
    ]
@@ -1142,22 +751,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x676.8 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "az.plot_forest(\n",
     "    [\n",
@@ -1180,7 +776,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1199,68 +795,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [a, bAM, sigma]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "with pm.Model() as m_5_4:\n",
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
@@ -1285,7 +822,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1303,51 +840,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [4000/4000 00:00<00:00]\n",
-       "    </div>\n",
-       "    "
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "with m_5_3:\n",
     "    m_5_3_ppc = pm.sample_posterior_predictive(\n",
@@ -1371,22 +866,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x432 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots(figsize=(6, 6))\n",
     "plt.errorbar(\n",
@@ -1427,22 +909,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 993.6x662.4 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "N = 100\n",
     "x_real = stats.norm.rvs(size=N)\n",
@@ -1461,68 +930,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bA, bM, a, sigma_m, bAM, aM]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:08<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 23 seconds.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "data[\"Divorce_std\"] = standardize(data[\"Divorce\"])\n",
     "data[\"Marriage_std\"] = standardize(data[\"Marriage\"])\n",
@@ -1535,8 +945,8 @@
     "with pm.Model() as m5_3_A:\n",
     "    # A -> D <- M\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    bA = pm.Normal(\"bA\", 0, 0.05)\n",
-    "    bM = pm.Normal(\"bM\", 0, 0.05)\n",
+    "    bA = pm.Normal(\"bA\", 0, 0.5)\n",
+    "    bM = pm.Normal(\"bM\", 0, 0.5)\n",
     "\n",
     "    a = pm.Normal(\"a\", 0, 0.01)\n",
     "    mu = pm.Deterministic(\"mu\", a + bA * age_shared + bM * marriage_shared)\n",
@@ -1544,7 +954,7 @@
     "\n",
     "    # A -> M\n",
     "    sigma_M = pm.Exponential(\"sigma_m\", 1)\n",
-    "    bAM = pm.Normal(\"bAM\", 0, 0.05)\n",
+    "    bAM = pm.Normal(\"bAM\", 0, 0.5)\n",
     "    aM = pm.Normal(\"aM\", 0, 0.01)\n",
     "    mu_M = pm.Deterministic(\"mu_m\", aM + bAM * marriage_shared)\n",
     "    marriage = pm.Normal(\"marriage\", mu_M, sigma_M, observed=data[\"Marriage_std\"].values)\n",
@@ -1561,20 +971,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(50,)"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# We're setting this to 50 to match the shape of our input\n",
     "A_seq = np.linspace(-2, 2, 50)\n",
@@ -1590,51 +989,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [4000/4000 00:00<00:00]\n",
-       "    </div>\n",
-       "    "
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# With PyMC we have to simulate in each model separately\n",
     "\n",
@@ -1654,22 +1011,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "_, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
     "az.plot_hdi(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"], ax=ax[0])\n",
@@ -1695,417 +1039,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
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-       "      100.00% [4000/4000 00:00<00:00]\n",
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-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;divorce&#x27; ()&gt;\n",
-       "array(-0.08953458)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'divorce'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-f42e6796-171f-48f9-b1b7-d37cf0bf80f7' class='xr-array-in' type='checkbox' checked><label for='section-f42e6796-171f-48f9-b1b7-d37cf0bf80f7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.08953</span></div><div class='xr-array-data'><pre>array(-0.08953458)</pre></div></div></li><li class='xr-section-item'><input id='section-86a92601-8043-4094-a1cb-d431f3e4b01a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-86a92601-8043-4094-a1cb-d431f3e4b01a' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-6a7f7c8b-1f4c-4578-a519-80435a2bd7a3' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6a7f7c8b-1f4c-4578-a519-80435a2bd7a3' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
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-       "array(-0.08953458)"
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-     },
-     "execution_count": 37,
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    "source": [
     "# We're setting this to 50 to match the shape of our input\n",
     "A_seq = (np.linspace(20, 30, 50) - 26.1) / 1.24\n",
@@ -2128,51 +1064,9 @@
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-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [4000/4000 00:00<00:00]\n",
-       "    </div>\n",
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+   "outputs": [],
    "source": [
     "# Set values for marriage counterfactual\n",
     "marriage_counter_factual_x = np.linspace(-2, 2, 50)\n",
@@ -2187,22 +1081,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "metadata": {},
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -2222,7 +1103,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2238,51 +1119,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [4000/4000 00:00<00:00]\n",
-       "    </div>\n",
-       "    "
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Get the samples from Age Marriage model first\n",
     "with m5_3_A:\n",
@@ -2293,20 +1132,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(4000, 30)"
-      ]
-     },
-     "execution_count": 42,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "marriage_mu_counterfactual = np.outer(m5_3_M_marriage.posterior_predictive[\"aM\"] + m5_3_M_marriage.posterior_predictive[\"bAM\"], A_seq)\n",
     "marriage_mu_counterfactual.shape"
@@ -2314,20 +1142,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(30, 4000)"
-      ]
-     },
-     "execution_count": 43,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "mu = marriage_mu_counterfactual.T\n",
     "sigma = az.extract_dataset(m5_3_M_marriage.posterior_predictive[\"sigma_m\"]).to_array()\n",
@@ -2344,51 +1161,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [4000/4000 00:00<00:00]\n",
-       "    </div>\n",
-       "    "
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "with m5_3_A:\n",
     "    m5_3_M_divorce = pm.sample_posterior_predictive(\n",
@@ -2398,7 +1173,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2423,121 +1198,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": null,
    "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>clade</th>\n",
-       "      <th>species</th>\n",
-       "      <th>kcal.per.g</th>\n",
-       "      <th>perc.fat</th>\n",
-       "      <th>perc.protein</th>\n",
-       "      <th>perc.lactose</th>\n",
-       "      <th>mass</th>\n",
-       "      <th>neocortex.perc</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>Eulemur fulvus</td>\n",
-       "      <td>0.49</td>\n",
-       "      <td>16.60</td>\n",
-       "      <td>15.42</td>\n",
-       "      <td>67.98</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>55.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>E macaco</td>\n",
-       "      <td>0.51</td>\n",
-       "      <td>19.27</td>\n",
-       "      <td>16.91</td>\n",
-       "      <td>63.82</td>\n",
-       "      <td>2.09</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>E mongoz</td>\n",
-       "      <td>0.46</td>\n",
-       "      <td>14.11</td>\n",
-       "      <td>16.85</td>\n",
-       "      <td>69.04</td>\n",
-       "      <td>2.51</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>E rubriventer</td>\n",
-       "      <td>0.48</td>\n",
-       "      <td>14.91</td>\n",
-       "      <td>13.18</td>\n",
-       "      <td>71.91</td>\n",
-       "      <td>1.62</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>Lemur catta</td>\n",
-       "      <td>0.60</td>\n",
-       "      <td>27.28</td>\n",
-       "      <td>19.50</td>\n",
-       "      <td>53.22</td>\n",
-       "      <td>2.19</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n",
-       "0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n",
-       "1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n",
-       "2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n",
-       "3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n",
-       "4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n",
-       "\n",
-       "   perc.lactose  mass  neocortex.perc  \n",
-       "0         67.98  1.95           55.16  \n",
-       "1         63.82  2.09             NaN  \n",
-       "2         69.04  2.51             NaN  \n",
-       "3         71.91  1.62             NaN  \n",
-       "4         53.22  2.19             NaN  "
-      ]
-     },
-     "execution_count": 46,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "d = pd.read_csv(os.path.join(\"Data\", \"milk.csv\"), delimiter=\";\")\n",
     "d.head()"
@@ -2552,7 +1215,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2570,31 +1233,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n"
-     ]
-    },
-    {
-     "ename": "SamplingError",
-     "evalue": "Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(0.58279121), 'bN': array(0.232042), 'a': array(0.11541897)}\n\nInitial evaluation results:\n{'sigma': -1.21, 'bN': -0.95, 'a': -0.93, 'K': nan}",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[1;31mSamplingError\u001b[0m                             Traceback (most recent call last)",
-      "Input \u001b[1;32mIn [48]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m mu \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mDeterministic(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmu\u001b[39m\u001b[38;5;124m\"\u001b[39m, a \u001b[38;5;241m+\u001b[39m bN \u001b[38;5;241m*\u001b[39m d[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mN\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[0;32m      8\u001b[0m K \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m, mu, sigma, observed\u001b[38;5;241m=\u001b[39md[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[1;32m---> 10\u001b[0m m5_5_draft_trace \u001b[38;5;241m=\u001b[39m \u001b[43mpm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:558\u001b[0m, in \u001b[0;36msample\u001b[1;34m(draws, step, init, n_init, initvals, trace, chain_idx, chains, cores, tune, progressbar, model, random_seed, discard_tuned_samples, compute_convergence_checks, callback, jitter_max_retries, return_inferencedata, idata_kwargs, mp_ctx, **kwargs)\u001b[0m\n\u001b[0;32m    556\u001b[0m \u001b[38;5;66;03m# One final check that shapes and logps at the starting points are okay.\u001b[39;00m\n\u001b[0;32m    557\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ip \u001b[38;5;129;01min\u001b[39;00m initial_points:\n\u001b[1;32m--> 558\u001b[0m     \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_start_vals\u001b[49m\u001b[43m(\u001b[49m\u001b[43mip\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    559\u001b[0m     _check_start_shape(model, ip)\n\u001b[0;32m    561\u001b[0m sample_args \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m    562\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdraws\u001b[39m\u001b[38;5;124m\"\u001b[39m: draws,\n\u001b[0;32m    563\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstep\u001b[39m\u001b[38;5;124m\"\u001b[39m: step,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    573\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdiscard_tuned_samples\u001b[39m\u001b[38;5;124m\"\u001b[39m: discard_tuned_samples,\n\u001b[0;32m    574\u001b[0m }\n",
-      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\model.py:1725\u001b[0m, in \u001b[0;36mModel.check_start_vals\u001b[1;34m(self, start)\u001b[0m\n\u001b[0;32m   1722\u001b[0m initial_eval \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpoint_logps(point\u001b[38;5;241m=\u001b[39melem)\n\u001b[0;32m   1724\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mall\u001b[39m(np\u001b[38;5;241m.\u001b[39misfinite(v) \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m initial_eval\u001b[38;5;241m.\u001b[39mvalues()):\n\u001b[1;32m-> 1725\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m SamplingError(\n\u001b[0;32m   1726\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInitial evaluation of model at starting point failed!\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1727\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting values:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00melem\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1728\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInitial evaluation results:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00minitial_eval\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1729\u001b[0m     )\n",
-      "\u001b[1;31mSamplingError\u001b[0m: Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(0.58279121), 'bN': array(0.232042), 'a': array(0.11541897)}\n\nInitial evaluation results:\n{'sigma': -1.21, 'bN': -0.95, 'a': -0.93, 'K': nan}"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# This is meant to fail!\n",
     "with pm.Model() as m5_5_draft:\n",
@@ -2617,49 +1258,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "0     55.16\n",
-       "1       NaN\n",
-       "2       NaN\n",
-       "3       NaN\n",
-       "4       NaN\n",
-       "5     64.54\n",
-       "6     64.54\n",
-       "7     67.64\n",
-       "8       NaN\n",
-       "9     68.85\n",
-       "10    58.85\n",
-       "11    61.69\n",
-       "12    60.32\n",
-       "13      NaN\n",
-       "14      NaN\n",
-       "15    69.97\n",
-       "16      NaN\n",
-       "17    70.41\n",
-       "18      NaN\n",
-       "19    73.40\n",
-       "20      NaN\n",
-       "21    67.53\n",
-       "22      NaN\n",
-       "23    71.26\n",
-       "24    72.60\n",
-       "25      NaN\n",
-       "26    70.24\n",
-       "27    76.30\n",
-       "28    75.49\n",
-       "Name: neocortex.perc, dtype: float64"
-      ]
-     },
-     "execution_count": 49,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "d[\"neocortex.perc\"]"
    ]
@@ -2673,20 +1274,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(17, 11)"
-      ]
-     },
-     "execution_count": 50,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "dcc = d.dropna(axis=0)\n",
     "dcc.shape"
@@ -2701,68 +1291,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bN, a]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "shared_N = shared(dcc[\"N\"].values)\n",
     "\n",
@@ -2786,7 +1317,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2798,22 +1329,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -2837,68 +1355,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bN, a]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "shared_N = shared(dcc[\"N\"].values)\n",
     "\n",
@@ -2917,7 +1376,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2929,22 +1388,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -2968,99 +1414,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": null,
    "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>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>a</th>\n",
-       "      <td>0.034</td>\n",
-       "      <td>0.164</td>\n",
-       "      <td>-0.269</td>\n",
-       "      <td>0.345</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4916.0</td>\n",
-       "      <td>2810.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>bN</th>\n",
-       "      <td>0.127</td>\n",
-       "      <td>0.254</td>\n",
-       "      <td>-0.380</td>\n",
-       "      <td>0.590</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>4888.0</td>\n",
-       "      <td>3015.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sigma</th>\n",
-       "      <td>1.109</td>\n",
-       "      <td>0.201</td>\n",
-       "      <td>0.781</td>\n",
-       "      <td>1.493</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>4031.0</td>\n",
-       "      <td>2773.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "a      0.034  0.164  -0.269    0.345      0.002    0.003    4916.0    2810.0   \n",
-       "bN     0.127  0.254  -0.380    0.590      0.004    0.004    4888.0    3015.0   \n",
-       "sigma  1.109  0.201   0.781    1.493      0.003    0.002    4031.0    2773.0   \n",
-       "\n",
-       "       r_hat  \n",
-       "a        1.0  \n",
-       "bN       1.0  \n",
-       "sigma    1.0  "
-      ]
-     },
-     "execution_count": 57,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "az.summary(m5_5_trace, var_names=[\"a\", \"bN\", \"sigma\"])"
    ]
@@ -3074,63 +1430,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<style>\n",
-       "    /* Turns off some styling */\n",
-       "    progress {\n",
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-       "        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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
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-      "text/html": [
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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "xseq = np.linspace(dcc[\"N\"].min() - 0.15, dcc[\"N\"].max() + 0.15, 30)\n",
     "\n",
@@ -3162,157 +1464,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bM, a]\n"
-     ]
-    },
-    {
-     "data": {
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-       "\n",
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-       "        border: none;\n",
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-       "    }\n",
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-       "</style>\n"
-      ],
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-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
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-       "\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>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>bM</th>\n",
-       "      <td>-0.300</td>\n",
-       "      <td>0.247</td>\n",
-       "      <td>-0.789</td>\n",
-       "      <td>0.136</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4327.0</td>\n",
-       "      <td>2675.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>a</th>\n",
-       "      <td>0.046</td>\n",
-       "      <td>0.159</td>\n",
-       "      <td>-0.258</td>\n",
-       "      <td>0.330</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>4942.0</td>\n",
-       "      <td>2745.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sigma</th>\n",
-       "      <td>1.057</td>\n",
-       "      <td>0.200</td>\n",
-       "      <td>0.748</td>\n",
-       "      <td>1.441</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>0.003</td>\n",
-       "      <td>3703.0</td>\n",
-       "      <td>2937.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "bM    -0.300  0.247  -0.789    0.136      0.004    0.003    4327.0    2675.0   \n",
-       "a      0.046  0.159  -0.258    0.330      0.002    0.003    4942.0    2745.0   \n",
-       "sigma  1.057  0.200   0.748    1.441      0.004    0.003    3703.0    2937.0   \n",
-       "\n",
-       "       r_hat  \n",
-       "bM       1.0  \n",
-       "a        1.0  \n",
-       "sigma    1.0  "
-      ]
-     },
-     "execution_count": 59,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "shared_M = shared(dcc[\"M\"].values)\n",
     "\n",
@@ -3339,171 +1493,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, bN, bM, a]\n"
-     ]
-    },
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-       "        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"
-      ],
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-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='48000' class='' max='48000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [48000/48000 00:27<00:00 Sampling 4 chains, 0 divergences]\n",
-       "    </div>\n",
-       "    "
-      ],
-      "text/plain": [
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-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Sampling 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 43 seconds.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
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-       "    .dataframe thead th {\n",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>a</th>\n",
-       "      <td>0.061</td>\n",
-       "      <td>0.154</td>\n",
-       "      <td>-0.234</td>\n",
-       "      <td>0.344</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>33517.0</td>\n",
-       "      <td>27996.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>bN</th>\n",
-       "      <td>0.382</td>\n",
-       "      <td>0.257</td>\n",
-       "      <td>-0.099</td>\n",
-       "      <td>0.863</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>22799.0</td>\n",
-       "      <td>24643.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>bM</th>\n",
-       "      <td>-0.515</td>\n",
-       "      <td>0.269</td>\n",
-       "      <td>-1.030</td>\n",
-       "      <td>-0.017</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>21132.0</td>\n",
-       "      <td>23336.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sigma</th>\n",
-       "      <td>0.968</td>\n",
-       "      <td>0.190</td>\n",
-       "      <td>0.643</td>\n",
-       "      <td>1.315</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>0.001</td>\n",
-       "      <td>26637.0</td>\n",
-       "      <td>24458.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
-       "a      0.061  0.154  -0.234    0.344      0.001    0.001   33517.0   27996.0   \n",
-       "bN     0.382  0.257  -0.099    0.863      0.002    0.001   22799.0   24643.0   \n",
-       "bM    -0.515  0.269  -1.030   -0.017      0.002    0.001   21132.0   23336.0   \n",
-       "sigma  0.968  0.190   0.643    1.315      0.001    0.001   26637.0   24458.0   \n",
-       "\n",
-       "       r_hat  \n",
-       "a        1.0  \n",
-       "bN       1.0  \n",
-       "bM       1.0  \n",
-       "sigma    1.0  "
-      ]
-     },
-     "execution_count": 60,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "shared_N = shared(dcc[\"N\"].values)\n",
     "shared_M = shared(dcc[\"M\"].values)\n",
@@ -3533,22 +1525,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x676.8 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "az.plot_forest(\n",
     "    [m5_7_trace, m5_6_trace, m5_5_trace],\n",
@@ -3568,63 +1547,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='40000' class='' max='40000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [40000/40000 00:01<00:00]\n",
-       "    </div>\n",
-       "    "
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "xseq = np.linspace(dcc[\"M\"].min() - 0.15, dcc[\"M\"].max() + 0.15, 30)\n",
     "shared_N.set_value(np.zeros(30))\n",
@@ -3658,7 +1583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3674,22 +1599,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 993.6x662.4 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "# Professor McElreath suggests viewing the pair plots\n",
     "az.plot_pair({\"M\": M, \"N\": N, \"K\": K});"
@@ -3704,7 +1616,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3737,90 +1649,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": null,
    "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>height</th>\n",
-       "      <th>weight</th>\n",
-       "      <th>age</th>\n",
-       "      <th>male</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>151.765</td>\n",
-       "      <td>47.825606</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>139.700</td>\n",
-       "      <td>36.485807</td>\n",
-       "      <td>63.0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>136.525</td>\n",
-       "      <td>31.864838</td>\n",
-       "      <td>65.0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>156.845</td>\n",
-       "      <td>53.041914</td>\n",
-       "      <td>41.0</td>\n",
-       "      <td>1</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>145.415</td>\n",
-       "      <td>41.276872</td>\n",
-       "      <td>51.0</td>\n",
-       "      <td>0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "    height     weight   age  male\n",
-       "0  151.765  47.825606  63.0     1\n",
-       "1  139.700  36.485807  63.0     0\n",
-       "2  136.525  31.864838  65.0     0\n",
-       "3  156.845  53.041914  41.0     1\n",
-       "4  145.415  41.276872  51.0     0"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "d = pd.read_csv(os.path.join(\"Data\", \"Howell1.csv\"), delimiter=\";\")\n",
     "d.head()"
@@ -3835,66 +1666,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": null,
    "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>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>mu_female</th>\n",
-       "      <td>176.918</td>\n",
-       "      <td>19.091</td>\n",
-       "      <td>141.103</td>\n",
-       "      <td>212.153</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_male</th>\n",
-       "      <td>177.696</td>\n",
-       "      <td>22.989</td>\n",
-       "      <td>135.588</td>\n",
-       "      <td>221.674</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              mean      sd   hdi_3%  hdi_97%\n",
-       "mu_female  176.918  19.091  141.103  212.153\n",
-       "mu_male    177.696  22.989  135.588  221.674"
-      ]
-     },
-     "execution_count": 67,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "mu_female = stats.norm(178, 20).rvs(1000)\n",
     "mu_male = stats.norm(178, 20).rvs(1000) + stats.norm(0, 10).rvs(1000)\n",
@@ -3911,7 +1685,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3927,157 +1701,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, mu]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:07<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 23 seconds.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>mu[0]</th>\n",
-       "      <td>134.873</td>\n",
-       "      <td>1.621</td>\n",
-       "      <td>131.832</td>\n",
-       "      <td>137.855</td>\n",
-       "      <td>0.022</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>5367.0</td>\n",
-       "      <td>3112.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu[1]</th>\n",
-       "      <td>142.543</td>\n",
-       "      <td>1.739</td>\n",
-       "      <td>139.406</td>\n",
-       "      <td>145.881</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5314.0</td>\n",
-       "      <td>2659.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sigma</th>\n",
-       "      <td>27.404</td>\n",
-       "      <td>0.867</td>\n",
-       "      <td>25.847</td>\n",
-       "      <td>29.121</td>\n",
-       "      <td>0.012</td>\n",
-       "      <td>0.009</td>\n",
-       "      <td>5017.0</td>\n",
-       "      <td>3106.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "mu[0]  134.873  1.621  131.832  137.855      0.022    0.016    5367.0   \n",
-       "mu[1]  142.543  1.739  139.406  145.881      0.024    0.017    5314.0   \n",
-       "sigma   27.404  0.867   25.847   29.121      0.012    0.009    5017.0   \n",
-       "\n",
-       "       ess_tail  r_hat  \n",
-       "mu[0]    3112.0    1.0  \n",
-       "mu[1]    2659.0    1.0  \n",
-       "sigma    3106.0    1.0  "
-      ]
-     },
-     "execution_count": 69,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "with pm.Model() as m5_8:\n",
     "    sigma = pm.Uniform(\"sigma\", 0, 50)\n",
@@ -4097,171 +1723,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, mu]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:07<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>mu[0]</th>\n",
-       "      <td>134.909</td>\n",
-       "      <td>1.686</td>\n",
-       "      <td>131.974</td>\n",
-       "      <td>138.318</td>\n",
-       "      <td>0.022</td>\n",
-       "      <td>0.016</td>\n",
-       "      <td>5894.0</td>\n",
-       "      <td>2804.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu[1]</th>\n",
-       "      <td>142.587</td>\n",
-       "      <td>1.743</td>\n",
-       "      <td>139.298</td>\n",
-       "      <td>145.853</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>0.017</td>\n",
-       "      <td>5083.0</td>\n",
-       "      <td>3140.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>sigma</th>\n",
-       "      <td>27.422</td>\n",
-       "      <td>0.831</td>\n",
-       "      <td>25.852</td>\n",
-       "      <td>28.988</td>\n",
-       "      <td>0.011</td>\n",
-       "      <td>0.008</td>\n",
-       "      <td>5466.0</td>\n",
-       "      <td>2358.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>diff</th>\n",
-       "      <td>-7.678</td>\n",
-       "      <td>2.429</td>\n",
-       "      <td>-12.056</td>\n",
-       "      <td>-2.979</td>\n",
-       "      <td>0.032</td>\n",
-       "      <td>0.024</td>\n",
-       "      <td>5652.0</td>\n",
-       "      <td>3274.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "mu[0]  134.909  1.686  131.974  138.318      0.022    0.016    5894.0   \n",
-       "mu[1]  142.587  1.743  139.298  145.853      0.024    0.017    5083.0   \n",
-       "sigma   27.422  0.831   25.852   28.988      0.011    0.008    5466.0   \n",
-       "diff    -7.678  2.429  -12.056   -2.979      0.032    0.024    5652.0   \n",
-       "\n",
-       "       ess_tail  r_hat  \n",
-       "mu[0]    2804.0    1.0  \n",
-       "mu[1]    3140.0    1.0  \n",
-       "sigma    2358.0    1.0  \n",
-       "diff     3274.0    1.0  "
-      ]
-     },
-     "execution_count": 70,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "with pm.Model() as m5_8:\n",
     "    sigma = pm.Uniform(\"sigma\", 0, 50)\n",
@@ -4285,121 +1749,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": null,
    "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>clade</th>\n",
-       "      <th>species</th>\n",
-       "      <th>kcal.per.g</th>\n",
-       "      <th>perc.fat</th>\n",
-       "      <th>perc.protein</th>\n",
-       "      <th>perc.lactose</th>\n",
-       "      <th>mass</th>\n",
-       "      <th>neocortex.perc</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>Eulemur fulvus</td>\n",
-       "      <td>0.49</td>\n",
-       "      <td>16.60</td>\n",
-       "      <td>15.42</td>\n",
-       "      <td>67.98</td>\n",
-       "      <td>1.95</td>\n",
-       "      <td>55.16</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>E macaco</td>\n",
-       "      <td>0.51</td>\n",
-       "      <td>19.27</td>\n",
-       "      <td>16.91</td>\n",
-       "      <td>63.82</td>\n",
-       "      <td>2.09</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>E mongoz</td>\n",
-       "      <td>0.46</td>\n",
-       "      <td>14.11</td>\n",
-       "      <td>16.85</td>\n",
-       "      <td>69.04</td>\n",
-       "      <td>2.51</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>E rubriventer</td>\n",
-       "      <td>0.48</td>\n",
-       "      <td>14.91</td>\n",
-       "      <td>13.18</td>\n",
-       "      <td>71.91</td>\n",
-       "      <td>1.62</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Strepsirrhine</td>\n",
-       "      <td>Lemur catta</td>\n",
-       "      <td>0.60</td>\n",
-       "      <td>27.28</td>\n",
-       "      <td>19.50</td>\n",
-       "      <td>53.22</td>\n",
-       "      <td>2.19</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n",
-       "0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n",
-       "1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n",
-       "2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n",
-       "3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n",
-       "4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n",
-       "\n",
-       "   perc.lactose  mass  neocortex.perc  \n",
-       "0         67.98  1.95           55.16  \n",
-       "1         63.82  2.09             NaN  \n",
-       "2         69.04  2.51             NaN  \n",
-       "3         71.91  1.62             NaN  \n",
-       "4         53.22  2.19             NaN  "
-      ]
-     },
-     "execution_count": 71,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "d = pd.read_csv(os.path.join(\"Data\", \"milk.csv\"), delimiter=\";\")\n",
     "d.head()"
@@ -4414,7 +1766,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4430,100 +1782,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "4"
-      ]
-     },
-     "execution_count": 73,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "d[\"clade_id\"].max() + 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, mu]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:08<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x316.8 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "d[\"K\"] = standardize(d[\"kcal.per.g\"])\n",
     "\n",
@@ -4546,7 +1816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -4562,227 +1832,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "Auto-assigning NUTS sampler...\n",
-      "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (4 chains in 4 jobs)\n",
-      "NUTS: [sigma, mu_house, mu_clade]\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\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"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "    <div>\n",
-       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
-       "      100.00% [8000/8000 00:08<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "<div>\n",
-       "<style scoped>\n",
-       "    .dataframe tbody tr th:only-of-type {\n",
-       "        vertical-align: middle;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe tbody tr th {\n",
-       "        vertical-align: top;\n",
-       "    }\n",
-       "\n",
-       "    .dataframe thead th {\n",
-       "        text-align: right;\n",
-       "    }\n",
-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>mean</th>\n",
-       "      <th>sd</th>\n",
-       "      <th>hdi_3%</th>\n",
-       "      <th>hdi_97%</th>\n",
-       "      <th>mcse_mean</th>\n",
-       "      <th>mcse_sd</th>\n",
-       "      <th>ess_bulk</th>\n",
-       "      <th>ess_tail</th>\n",
-       "      <th>r_hat</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>mu_clade[0]</th>\n",
-       "      <td>-0.355</td>\n",
-       "      <td>0.277</td>\n",
-       "      <td>-0.910</td>\n",
-       "      <td>0.132</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3149.0</td>\n",
-       "      <td>2945.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_clade[1]</th>\n",
-       "      <td>0.367</td>\n",
-       "      <td>0.294</td>\n",
-       "      <td>-0.155</td>\n",
-       "      <td>0.955</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>2662.0</td>\n",
-       "      <td>2932.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_clade[2]</th>\n",
-       "      <td>0.565</td>\n",
-       "      <td>0.308</td>\n",
-       "      <td>-0.009</td>\n",
-       "      <td>1.132</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3616.0</td>\n",
-       "      <td>2974.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_clade[3]</th>\n",
-       "      <td>-0.467</td>\n",
-       "      <td>0.319</td>\n",
-       "      <td>-1.030</td>\n",
-       "      <td>0.152</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3505.0</td>\n",
-       "      <td>3171.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_house[0]</th>\n",
-       "      <td>0.117</td>\n",
-       "      <td>0.325</td>\n",
-       "      <td>-0.522</td>\n",
-       "      <td>0.685</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3472.0</td>\n",
-       "      <td>3127.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_house[1]</th>\n",
-       "      <td>-0.358</td>\n",
-       "      <td>0.278</td>\n",
-       "      <td>-0.877</td>\n",
-       "      <td>0.158</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>3046.0</td>\n",
-       "      <td>3150.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_house[2]</th>\n",
-       "      <td>0.049</td>\n",
-       "      <td>0.279</td>\n",
-       "      <td>-0.472</td>\n",
-       "      <td>0.567</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>0.004</td>\n",
-       "      <td>2796.0</td>\n",
-       "      <td>3117.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mu_house[3]</th>\n",
-       "      <td>0.283</td>\n",
-       "      <td>0.335</td>\n",
-       "      <td>-0.368</td>\n",
-       "      <td>0.896</td>\n",
-       "      <td>0.006</td>\n",
-       "      <td>0.005</td>\n",
-       "      <td>3482.0</td>\n",
-       "      <td>3126.0</td>\n",
-       "      <td>1.0</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "              mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "mu_clade[0] -0.355  0.277  -0.910    0.132      0.005    0.004    3149.0   \n",
-       "mu_clade[1]  0.367  0.294  -0.155    0.955      0.006    0.004    2662.0   \n",
-       "mu_clade[2]  0.565  0.308  -0.009    1.132      0.005    0.004    3616.0   \n",
-       "mu_clade[3] -0.467  0.319  -1.030    0.152      0.005    0.004    3505.0   \n",
-       "mu_house[0]  0.117  0.325  -0.522    0.685      0.006    0.004    3472.0   \n",
-       "mu_house[1] -0.358  0.278  -0.877    0.158      0.005    0.004    3046.0   \n",
-       "mu_house[2]  0.049  0.279  -0.472    0.567      0.005    0.004    2796.0   \n",
-       "mu_house[3]  0.283  0.335  -0.368    0.896      0.006    0.005    3482.0   \n",
-       "\n",
-       "             ess_tail  r_hat  \n",
-       "mu_clade[0]    2945.0    1.0  \n",
-       "mu_clade[1]    2932.0    1.0  \n",
-       "mu_clade[2]    2974.0    1.0  \n",
-       "mu_clade[3]    3171.0    1.0  \n",
-       "mu_house[0]    3127.0    1.0  \n",
-       "mu_house[1]    3150.0    1.0  \n",
-       "mu_house[2]    3117.0    1.0  \n",
-       "mu_house[3]    3126.0    1.0  "
-      ]
-     },
-     "execution_count": 76,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "with pm.Model() as m5_10:\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
@@ -4799,32 +1851,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Last updated: Mon Jul 04 2022\n",
-      "\n",
-      "Python implementation: CPython\n",
-      "Python version       : 3.9.13\n",
-      "IPython version      : 8.4.0\n",
-      "\n",
-      "arviz     : 0.12.1\n",
-      "numpy     : 1.22.1\n",
-      "daft      : 0.1.2\n",
-      "scipy     : 1.7.3\n",
-      "matplotlib: 3.5.2\n",
-      "pandas    : 1.4.2\n",
-      "pymc      : 4.0.0\n",
-      "\n",
-      "Watermark: 2.3.1\n",
-      "\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "%load_ext watermark\n",
     "%watermark -n -u -v -iv -w"

From 287cc1b0b64e246d4f22a6ffc2228fd500d7be1a Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Sat, 9 Jul 2022 15:12:48 -0500
Subject: [PATCH 04/10] fixed code block 5.19

---
 Rethinking_2/Chp_05.ipynb | 3326 +++++++++++++++++++++++++++++++++++--
 1 file changed, 3148 insertions(+), 178 deletions(-)

diff --git a/Rethinking_2/Chp_05.ipynb b/Rethinking_2/Chp_05.ipynb
index df114801..952fc81b 100644
--- a/Rethinking_2/Chp_05.ipynb
+++ b/Rethinking_2/Chp_05.ipynb
@@ -374,7 +374,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -386,6 +386,54 @@
       "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [a, bA, sigma]\n"
      ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
     }
    ],
    "source": [
@@ -404,9 +452,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "az.plot_trace(m_5_1_trace, var_names=[\"a\", \"bA\"]);"
    ]
@@ -420,9 +481,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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xPj5+eg5OEAQFtlOEfwvAJLb7zx4DiGJbOssC4HMAfhFAWhCE/wDg/yOK4sKxWXwCcDgccDgcSKVSEEURMzMzWFpaQmdnJ7xeL4aGhprCIpIhQ8YnD8FgELdv38bW1hZcLhdu3LiBjo6OY3mt3VT8x8bGGqb4l8tlrKysYHZ2FsFgENVqFT09Pbh48SI8Hg80Gg2KxSJu376Njz76CKIoolKpwOFw4Ad/8Afx2muvoa+v71gZqvtFcL4XX38XwE/uRvIQBMEA4LMAfgTAE0EQflYUxX/bPDNPB9Sdf+nSJbZIPvjgg5r0JYXcMmTIkLEXkskk7t69i6WlJZjNZrzzzjvHNgttPxX/RhCLxTA7O4uFhQXk83kYjUZcvHgRw8PDbEr4/Pw83n//fTx8+BDpdBpGoxGvvPIKE4KOxWKYmZlBW1sbdDpdM/7lutjPwf0DAF8SRXHPHjNRFDMA/gjAHwmC4AbgbpJ9ZwJqtRqCIEAQBIRCIfh8Pjx+/BhPnz6Fx+OB1+tFd3f3aZspQ4aMM4hSqYQnT57g6dOnUCgUuHr1Ks6dO9f0LFCpVML09DTu37/fdIp/LpfD/Pw8/H4/NjY2oFKp0N/fj5GREfT29kKhUCAej+MrX/kKpqamWApybGwMr776KiYnJ6FSqbC4uIivfvWriEQibF89TgfXMo3e++GkG70TiQREUcTs7CwKhQK6urrg9XoxMDBwYulLuWH2+NBKtgKtZW8r2Qo0Zu/S0hLu3LmDVCqFwcFBTE5ONp20xlP8lUol2traIAhCwxT/SqVS07NWqVRgs9kwOjqKwcFB6HQ6FItF3L9/vyYF2dPTgxs3buC1116DxWJhupUzMzPIZrNob2/H+Pg4RkZGYLPZjrXRW3ZwEhx2MReLRczNzcHn82Fra4strrGxsWOfovtJ2ihOGq1kK9Ba9raSrcDR7N3c3MTt27cRCoVgtVpx8+bNppLUdqP4T05ONlw22draYj1rmUwGer0eQ0NDGB0dZZEgpSAfPHiATCYDo9GIS5cuMRYosM2m9Pl8WFpaYqQWr9fLIj6gOWvhyEomgiAsADiw4xBFcegQdr0U0Gg0GB8fhyAICAaD8Pl8ePjwIR4/fozBwUF4vd5j72eRIUPG2UChUMCDBw8wPT0NrVaLV155BWNjY01TIdlPxf+oDqNQKGBxcRF+vx/r6+tQKBRwu9145ZVX4Ha7oVQq66YgBUHAK6+8gsnJSWg0GpRKJaZbGY/HodVqMTExAUEQWH3uJLFfDe5LqHVwPwbAAOC/AFgH0A3gXQBpAL93HAa2ChQKBVwuF1wuFxKJBHw+HzsFdXd3w+v1wuPxnIjcjgwZMk4W1WoVs7OzuH//PnK5HMbHx3H58uWmqJAcF8W/Wq1ibW0Nc3NzWFxcRKlUQkdHB65fv47BwUEYDAYUi0XcuXMHH374IWZnZ1Eul+F0OhkL0mKxANgu2Tx8+JCVbKxWK27dunXqghl7vrIoir9E3wuC8P8CMAfgL4iimObuNwH4CoDEcRnZamhvb8fNmzdx5coV+P1++Hw+fOc734HBYGDpy7M0M0mGDBlHx/r6Om7fvo1YLAaHw4F33323Kb1d+Xwefr+/6RT/VCrFetaSySS0Wi2Gh4cxMjICu90OAFhYWMB7771Xk4J85ZVX8Prrr2NoaDtRV61Wsbq6Cp/Ph0AgAIVCwUh3Z2HYKXA4JZOfB/DXeecGAKIopgRB+J8B/CaAf9xM41odFJ57vV62EB48eFCTvjzOJkcZMmQcHzKZDO7fvw+/3w+DwYA333yTbf6N4Dgo/qVSCcvLy5ibm8Pq6ioAwOl04sqVK+jv74darWYpyDt37mBtbQ0qlaqGBUmRWKFQYI43kUigra0Nly5dwtjY2JlrmzqMg+sAsJtb7gEg61ntAspnu91ubG1tsfSl3++Hw+GA1+tFf3+/nL6UIaMFUKlU8Pz5czx69AjlchkXLlzAxYsXG2IsHpeKfzQahd/vx/z8PAqFAkwmEy5fvozh4WGYzWYUi0Xcu3evJgXZ09ODH/zBH8StW7dqXpv2rrm5ORSLRdjtdrz55ptNG59zHDiMg/sTAP9EEIQEgC+LopgXBEEH4AcB/AaALx+HgS8bOjo68Morr+Dq1auYnZ3F9PQ0vv3tb8NkMkEQBIyOjp6IergMGTIOj0AggKmpKSQSCbjdbty4caMh8sRxqPhns1nMz89jdnYWm5ubUKlU8Hg8GB0dRU9PDxQKBebn5/GHf/iHePjw4a4pSGA7DbmysoLp6WkEg0EolUoMDQ1hfHy8Jchzh3FwfwPAbwH4jwCqgiAkAZgBKLDt/H5u9z9tDTx//hxmsxk2m+3YKf5arRbnzp3DxMQEVlZW4PP5cO/ePTx8+BDDw8Pwer1Nmb8kQ4aMxpFIJHDnzh2srKygvb0dn/70p+F2H03P4jhU/CuVCgKBAILBIGZmZlCpVGC32/Hqq69icHAQWq0W8XgcX/3qVxkLklKQt27dwtWrV2vIILlcDrOzsxBFEalUCkajEZOTky13AD90H9wL0eXr2E5LrgG4I4ri82Ow7VBoRh/c17/+dcTjceRyOdjtdng8HvT3958YvTUej8Pn82F+fh6lUglOpxNerxd9fX11mVKfhH6i00Ir2Qq0lr2tZCv1uU5NTUGlUuHSpUuYmJg4UjmhHsVfEISGVPw3NzcxOzuL+fl5ZLNZWK1WuFwujIyMwGKxoFQq4e7du/joo4+Y45M2YvOIxWKYnp7G/Pw8Y0yOj4+jr6/vWEoox90Hd2AHJwjCmwDu15vDJgiCEcCkKIrfPbKVDaJZjd6lUgnPnj3D8vIyYrEYAMBqtaK/vx/9/f0nQgqRnp7MZjPr/OdlbVppowBay95WshVoLXtbxdb5+Xncu3cP5XIZLpcLk5OTh87s7EbxHx8fPzLFv1AoYH5+HnNzc4hEIlAqlXC73RgdHcX4+DhT9ictSEpBXr58eUcKEtiO/hYXFzE9PY319XWo1WqMjIxgfHx8hwNsNs6SgysDeFUUxak6v5sEMCWK4qlVGo9DySSVSmF5eRnLy8sIh8OoVqswm83o6+uDx+NBd3f3sc5tqlQqWFlZwfPnzxEOh9nC83q96OjoaJmNgtBK9raSrUBr2XvWbd3Y2GAjXWw2G95+++1DswPrqfiPjo4emeJfrVYRCoXg9/uxtLSEcrkMq9WK0dFRDA0NQa/XIx6P4969e/jud7/LUpCCIODVV1/dkYIEtlmgJKFFc+G8Xi9GRkaObWyPFKeqZCLBXju5CUDmEM/VEjCZTJiYmMDExARyuRxzdtPT03j+/Dna2trQ19eH/v5+OJ3OpjOJlEolPB4PPB4PSx0QMcXlcuHatWuwWCzH6mRlyPikIJfL4eHDhxBFETqdDrdu3cLo6Cja29sPvAk3m+KfTCaZYEQqlYJWq8Xo6ChGRkbQ1dXFUpDEglSpVOjq6trRiM0jHA5jenoaS0tLqFQqTZ0Ld9awZwT3Ii35qRc//iqAfw0gIHmYHsBfAJAWRfFW8008GE5Si7JYLGJ1dRVLS0sIBAIoFovQaDRwu93weDxwuVwNUYb3Qi6Xw8zMDKanp1GpVKDRaE781HVUnPWTO49WshVoLXvPmq3VahWiKOLBgwcoFApMhYTKAfvZW4/iPzw8fGSKf6lUwtLSEvx+P0KhEACwulp/fz9UKhVLQT548ADZbBZGoxFXrlzB5z73ubrsxlKphIWFBUxPTyMWizFHedISWtlsFsFgEKurq1hfX8ebb77Z8CSWRiK4m9gedgpsS3b9CICS5DEFANMA/u5RDWw1aDQaDAwMYGBgAOVyGaFQiEV3CwsLUKlUcDqd8Hg86OvrayrrSK/X4+LFizh//jyi0Sju3r2LqakpPHjwgKUvT0PzTYaMVsTa2hqmpqawsbEBp9OJGzduHNgpNZviv76+Dr/fj4WFBRSLRZjNZly9ehVDQ0MwmUyIx+P40z/9U0xNTWF9fb1uClLqjJPJJJt6ks/nYbVa8eqrr2J4ePhEJLQqlQoikQhWV1exurrKeA16vR69vb1wOBw4TsH/w9TgFgD8kCiKD4/NmgbQjAiuXC6jvb0d6XR6/wfXQbVaRTgcZs4ulUpBoVDA4XAwkkozR2XQYo5Go/D5fFhYWGApB6lq91nAWTu574VWshVoLXvPgq3pdBr37t3D/Pw8TCYTrl27hoGBgbqP5e1tNsU/k8kw2aytrS2o1WoMDAxgZGQEPT09O1KQlUoFTqcT169fr5uCJFtXV1cxPT2NlZUVJqE1Pj7e1IkGuyGVSmF1dRXBYBChUAiFQgEKhQLd3d1Mr7ezsxMKheLskEzOOprh4P7gD/4ACoUCHR0d6O3tRU9PD6xW65GdRCwWw/LyMpaWlrC5uQkA6OrqQn9/PzweT8Nj6qWLI5PJMPZlJpNBR0cHvF5vw3OhmoWzsLEdFK1kK9Ba9p6mreVymamQVKtVnD9/HhcuXNgzmjGbzVhbW2saxZ/IY7Ozs1hdXUW1WoXD4cDIyAgGBgag0WgwNzeH9957Dw8fPmQpyKtXr+L111/f1REXCgWsra3h3r172Nragl6vx9jYGARBOFYJrVKphHA4zKK0ra0tANscht7eXrhcLjidzrollDPj4ARB+GEAFlEU/38vfh4E8O8ATAD4MwA/JYriZkOWNoBmOLhQKIT19XXMzc0hkdjWjtbr9XA4HHA6nXA6nUd2SolEAktLS1heXkYkEgGwrWpCzu4oqgC7LQ6i/T5//hzRaBRarZbRfk8zfSlvwseHVrL3tGwNBAK4ffs2kskk+vv7cf369T0ZjUTxX1lZgSiKDVP8NzY2MDs7i4WFBeRyORgMBgwPDzMiSzwexwcffIDbt2/vmoKsB15CS6VSwWQyHfvw5a2tLebQ1tbWUC6XoVKp0NPTw6K0g+yVZ8nBPQDwO6Io/rMXP38FwBiAfwPgvwPwp6Io/nxDljaAZpNM0uk01tbWEAqFsLa2hlRqu/3PYDCgp6cHTqcTPT09R6L8ptNpLC8vY2VlBaFQCNVqFSaTiTEyHQ7HgZoqD7I4IpEIfD4fFhcXUalU0NfXx9KXJw15Ez4+tJK9J21rIpHA7du3sbq6io6ODty4cQMul2vXx0tV/C0WC/r6+o5E8c/n85ifn4ff70csFoNSqUR/fz9GRkbgcrlqUpB+v78mBfn666/v6iSq1SoCgQB8Ph+T0BocHMS1a9eOZVIJRYfk1Gg/pGyXy+VCT0/Poet6Z8nBbQH4YVEUvykIQgeACLZrcl8VBOELAH5dFMX+hixtAMfNokwkEjUOL5vNsseTs+vp6Tl0I2gul0MgEMDy8jJWV1dRLpeh1+sZI7O3t3fXU9hhFgepKIiiiFwuB4vFwtKXJzWvSd6Ejw+tZO9J2VosFvHo0SM8f/4carUaly9fxvj4+K6Hx3oUf0EQcP78eWQyB++CojEyfr8fy8vLqFQqsNlsGB4eZj1rfr+fNWLzLMg33nhj1xQksL1f+P1+iKKIZDIJo9HINGwbGXha73/Y2NhgtbT19XXG2nY6nXC5XOjt7W1obA9wtvrggI+Hn34fgDKAb774OQDAfnjTWgft7e1ob2/H2NgYgG2JnFAohFAohMXFRczMzADYPtFQOtPhcOzLoNTr9RgZGcHIyAhKpRJrP1heXobf74darYbb7UZ/fz/cbveRWwHoArp48SIWFhbw/PlzfPTRR7h//z5TQGgmAUaGjNNCtVplKiSZTAajo6O4evVq3cjmICr+B03zJRIJ1rOWTqeh1+uZ8+ns7EQ8Hsc3v/nNuinIycnJPV9HKqHV09ODycnJpk4hyeVyjMIfDAbZId5ms+HcuXNwuVzo7u5uqaknh4ngvgvAj+22gX8PQC2K4udf/O4nAPyPoih6jsvQ/dCMCG5mZgZ6vR5GoxFWq/XAHySddtbW1hAMBhEOh1EqbXdT2Gw2ltJ0OBwHJntUKhWEQiGsrKxgeXkZmUwGSqUSTqeTMTK7u7sbOv2Ew2H4fD4sLS0BAPr7++H1eo+NaSVHGceHVrL3OG2NxWLMgdjtdty4cYMN8eRRj+IvCAKGhoZ2HCL3srdYLGJxcRF+vx/hcBgKhQIulwujo6Nwu92oVCpMC5JnQZIW5F51qkqlgqWlJUxPTzMlo+HhYYyPj+/aynCY95Yo/OTUotEogI8p/BSlHedw5rOUonwd2yNx2gGkAHxGFMXbL373BwAqoij+lYYsbQDNcHBf+9rXsLW1hVwuB41GA7vdDrvdju7ubtjt9gNHT5VKBdFolKUz19fXUS6XoVAo0NXVxVKa3d3dB0oPVqtVRCIRFtnRghgYGIDdbkd/f3/DE35FUcTMzAzy+Tw6Ozvh9XoxNDTU1CK1vAkfH1rJ3uOwNZfL4f79+5iZmUFbWxuuXr2KkZGRGiLIUSn+9ewNh8OYnZ3F4uIiSqUS2tvbMTo6iuHhYRgMBpaCfPToEdOCvHr1Kt544w14PHvHAbtJaA0PD9do0R7UVh6pVIo5NCmFn5yazWY7sfaiM+PgAEAQBDO2iSVzPGNSEITPA/CLojjTgJ27veabAH4JwCSAXgB/TRTF35I+rlk1OIVCgbm5Oayvr2N9fR3xeJw1IlqtVjgcDub0DupUyuUy1tfXWQ0vEomgWq1CqVTC4XCw+p3dbj9Q1BiPx7G0tMQaKAGgs7OTMTKPOmaH0jU+nw/xeLzpNONP+iZ8nGgle5tpa6VSwfT0NB4+fIhSqQSv14tLly7VHEalKv5msxljY2MHpvjzxLO5uTnMzs4imUxCo9FgcHAQw8PDcDgc2NjYwAcffFC3EXu/FCSw3eg9PT3NCGEulwter/dQjE3pe1sul1lmaXV1lbUrGY1GFqE5nc59HWezUSgUsLm5CY/Hw1KhR0VL98G9cJ6vA7gP4HcA/NxxOjjpAikUCohEIuy2vr6OYrEIYJtRabfbmdOz2WwHclDFYhHhcJhFeNTdr1arWUtCT0/Pvicps9mM1dVVlsYMh8PsfnJ2drv9SKexUCgEn8+H5eVlKBQKDAwMwOv1NiSr80ndhE8CrWRvs2wNhUKYmppCPB6Hy+XCjRs3WMqvWSr+5XIZGxsbePjwIYLBIKrVKnp6eljPWrVaxZ07d/C9732PpSB7e3tZCnK/tpx6ElqNtPTQnhAIBLC6usrKJUThpyjtuKcE8CiVSojFYojFYohGo4jFYqxX7p133kFfX19Dz39kBycIwv8A4J+Lorh10BcTBOFtAEZRFJs+4VsQhBSAv3mSDk6KarWKeDzOIrz19XVGmVWr1ejq6qpxegc5GeXzeYTDYQSDQaytrbFTllarZdGd0+ncEZnVa/QmZxcKhVCpVGAwGNDf34++vj44nc5DF4iTySQTeS4UCrDZbJiYmDhSj80ncRM+KbSSvY3amkqlcPfuXSwuLsJsNuP69evo798mcEsp/kdV8Y/FYqxnTaFQsPrX8PAw2tvbj8yC5P8HktAiVvP4+PiRRBmKxSJCoRCCwSBisRjrs21vb2c9aUeh8B8F5XIZ8XicObJoNIrNzU2WBTMajbDZbOjq6oLNZoMgCGz/PCoacXBfxjZj8o8B/D6Aj0RRjEgeowFwAcDnAPwottmUXxRF8RsNWV3fnlN3cPWQTqcRiUQQDocRiUSwsbGBSqUCYJtVSc7O4XAc6FSWyWSwtrbGUppkj16vZ86OqLq72VooFFj7QSAQQKlUglarrRGEPsyCL5VK8Pv98Pl82NraQltbG0tfHrQ14pO0CZ80Wsneo9pKsxqfPHkCALhw4QLOnTsHtVq9K8X/MCr+uVwO8/PzmJ2dRTweh0qlgsfjwaVLl2oasY+aggSAYDDIJLQAsL5Up9N5qPeCp/CHw2FG4R8aGoLVakVvb++xizpUKhVsbm7WOLN4PM72Pr1ez5wZOTStVoutrS1sbm4imUzi4sWLDbMyG0pRCoJAgss/hO3JAdEXtzwAC7brYhoAz7Dd9P1/iqJ4LKNz9nJw+Xy+2gxChEqlQrlcbug5SqUS1tfXEQ6HWe2tUCgA+FgZhW52u33fC4MKw5RHp54c6sFzOp3o7e3dleZP7QeLi4tYWlpCPp+HSqVic+08Hs+hcvCBQIANhVUqlRgaGsK5c+f2TV824709KbSSrUBr2XsUWxcXF/G9730PyWQSQ0NDuHnzJusn8/l8iEaj0Gg0GBkZwcTEBDo7Ow/0vJVKBYFAADMzM2x8jN1ux9jYGIaHh6FUKnHnzh185zvfYWomLpcLr7zyCj71qU8dyIkUi0XMzs7i2bNn2NzcZO0DExMTB27NoX5ZSj/SHmCz2eB2u+F2u9HT0wONRnMs66BarWJra4uVaqLRKKLRKHstrVYLu93OMlidnZ0olUqIx+OIx+PY3NzExsYGkskkqtUqisUistksfuiHfmjHANbDQq1WN4VFaQLwGoCrAHqw7ew2AIgAPhBFcbYhKw9mw7FGcIlEAgaDAUqlsqm9HrQ4+LQmSYEplcodac39Ct+JRALBYBCJRALz8/PI5XIAah1eT09P3eepVCo1gtDpdBoKhQJOp5MpqRyUUJJIJODz+eD3+1EsFmG325lEUL3375MQZZwWWsnew9i6tbWFqakprK6uwmq14saNGzAYDHUp/odJ721tbWF2dhbz8/PIZDLQ6/UYHh7GyMgIrFYr/H4/3nvvPTx69AilUgk6nQ6XL1/Gm2++uS8LkkDXB9nZ1dWF8fFxDA4O7nuoJSY2RWmUdtTpdDUUfmn2pFnrIJFI1NTMYrEY4x6o1WrYbDbYbDZYrVbodDqUSiVsbW0xZ0aODNje/6rVKhQKBcrlMorFIqrVKvR6PT7zmc/A7XY3ZGtLk0x4HLeD+/3f/32Uy2Xk83mYzWZ0dHTsuDWLbZTNZhlpZX19HdFolIX2ZrO5Jq3Z0dFRtyhuNpuRSCRqms7D4TCLFi0WS03TeT3bo9Eoaz+gwi+1Hng8nkOdUKenp9khQRAEjI2N1TjZl3UTPgtoJXsPYmuhUMDDhw8xPT0NtVqNixcvwmAwYHZ29sgq/oVCgfWsra+vQ6FQwO12s561zc3NuinId999F4IgHCgFSSomPp8Pq6urzE6v11u3H49HOp2uabQmCr/dbmcOraura1/i2WHXQSqVwsbGBiuvRKNR5PN5ANvRdmdnJ3NkarUa5XKZpRkTiQRzZAqFAkajEUqlEtVqFaVSCfl8HqVSiR14zWYzS1l2dnZidHT09GpwZw3H7eCSySQymQyCwSC2trbYjRwPsJ1ilDq99vZ2mM3mhnpHyuUyYrFYTZRHkRmF/+T07HZ73dlPwPbJLxaLsRqetOmcort6TedbW1vM2VHTp8ViYc7OZrPt+T/Uu7iHhobg9Xphs9leuk34LKGV7N3L1mq1Cr/fj/v37yObzcLj8cBgMGBpaelIKv7VahVra2vw+/1YWlpCqVSCxWLB6OgoBgcHodFo6mpB3rx5k7EgD/LeSsktux3yeJTLZUYuW11dRTweB7DNziaH1tvbe6hD9X62ZrNZFplRdEY0fZqkYjAYoFaroVKpWJ0tmUyyfZDG3JjNZiiVSpTLZZTLZWSzWZaZAranCXR2drKUZVdXF3Q6HQqFAtLpNDKZDIaHh9k+d1S0tIN7kRodefHjhwB+HcCfANgQRXGZHndcJJNqtYpkMolEIlHj9KghnKBSqdDe3l436jsqeymRSNQ4PGJXKpVKdHZ2wuPxwGw2w26375pWLJfLO5rOK5UKlEol7HY7Y2l2d3fXnFBTqRQThF5bW6sRhPZ4PHA4HHs6dFI49/v9KJVKcDgcuHbt2oFbKU4breQwgNaydzdbI5EIi57oALe1tXUkin8qlWKyWclkElqtFoODgxgZGYHdboff78d3v/tdPH78uIYFWS8Fudd7G4/H4fP5MD8/j1KphJ6eHoyPj+8qoZVIJGpU+Cm64Sn8R+1jldqaz+cRjUZZVBaLxVi0VKlUoNfrodVqoVarmaPiHRk9n8ViQUdHB5RKJYrFIgqFAqutkf9oa2uDzWaD3W6HyWSCXq9HuVxGKpViPYSpVAqpVIplmADg05/+9Cc7RSkIwqcA/HmdX/22KIp/lX5ohoP7yle+AmA7RUcqIXttxrlcbofT29raQiqVqplSazKZWKTHO77DCjPn8/matCYtGHoNUlxxOBy7zrEjAgw5vGg0imq1CpVKxZrOnU5njSPK5XKs/SAYDDJBaJIMczqdu6ZvCoUCIwIUi0WoVCqMj49jdHS0qZPOm41WchhAa9krtTWbzeL+/fvw+XxIJBJoa2tDW1vboSn+pVKJabgGg0EAQG9vL0ZGRtDf349EIoH3338fd+7cYSnI8fFx3Lp1C1euXDmwqDkpovh8PiahNTQ0hPHx8R3klmKxWKPCT89jNpvhcrngdrsPJeG3G4rFIovGKANDdbBcLgelUgmtVsuu6UqlUrM/kCOzWCxob2+HUqlEPp9HIpFgTpIcn1KphMFgQFtbW03akvYjqtURNBoNjEYjTCbTjtvg4ODZUTI5y2iGg/uN3/gNrKyssA9Ir9fDbrfXEDC6urrQ0dGx54Kkk9Dm5uYO50fpQmA79Vgv4qPQfz8YjUYsLS3VRHnErtJoNMzhkfJKPZsLhQLW19dZD97Gxgb7e77pnCbwFotFrK6usvaDQqEAjUYDl8sFj8cDt9td93Wof/Du3bsIBoNQqVQYHh6G1+tt6MR6XGglhwG0lr1kK6mQvPfeewgEAtBqtSwtdxiKfyQSgd/vx8LCAgqFAsxmM+tZ0+v1uHv3Lj744APMzc2xRmxKQR7EcZK90oHCZrMZ4+PjGBkZqUkjxuNx5tCIwq9Wqxnb2eVyNUThJ3Yi1cwikQg2NzeRz+cZh4Cismq1ira2NpZFMplMzJHRTaFQ1ND919bWkMlk2PPpdDpoNBr2nNKMlFar3dWBGY3GPQ+yZ0qq6yyjWSlKlUqFJ0+e1Mxr29jYQC6XY8wfipZosXZ2dqKjowMWi2XfukA6na5xeJT6TKfT7DGU496P5FJvcSSTyZooj9IICoUCVqsV3d3d7FaPopzL5Wp68Ih4otPpWDqzt7cXHR0dKJfLCIVC7L3KZrNQKpXo7e1l0R2/uMneeDzOWHClUglOpxNerxd9fX0npoG3H1rJYQCtZa/ZbMazZ8/wla98BX6/nyn4nz9/vkbFfy9ks1nWs7a5uQm1Wg2Px4ORkRH09PQwFiSlIE0mE0tBUlP4QZHNZnHnzp1dJbTy+XzdNh7qR3O73TtKAAdFpVKpaZymfttUKoVsNssGjSoUChgMBthsNpTLZZY1kjqzTCaDQCCAQCDASGnpdBr5fB7FYhFqtRoGg4E5LL1ez/a83ZzYYSacpNNptjdtbGzg1q1bRx4iTWiqgxME4XMArgHoA/CPRVFcfqEX6RdFMdiQpQ3gOBu9c7kcotEoo9YHAgFsbm4ik8kgl8tBp9OxD7uzs5OpjlDu+iAklGKxWDfdmUgkanLibW1tzNk5nU6o1Wp0dHTAZDLVfX5eamx9fR2RSKRGaox3eJ2dnTsix/0Gv9LNbDZjfX0dS0tLWFlZQTKZhEKhgMPhqEll8u9tPp9n7MtUKrXrifg00EoOA2gdewOBAL7xjW/g7t270Gg0uHTpEm7dulVXxV8K6lmbnZ3F6uoq61kbHR3FwMAAUqkU3n//fUxNTSESibAU5GuvvYbLly8fysGUy2UsLCzA5/MhnU6jXC5jZGQEXq8XZrOZUfhJhb9arUKn09XMSjusfmu1WmWRVDQaRSAQQDAYZM6MUvzkcEwmE9tn6OZyuZDL5dh1T6LK1JObyWTYgZccVmdnJ6vD0/OazWb2+6OmTylrQwIYUtUnu92Ot95668gjwAjNmibgwDa5YxLAIoBBANdFUbwvCML/BSAniuLfaMjSBnDSSiaZTIaxkVZWVhAIBBjxhM9586ceckzk+Mj57UVCqVQqSKVSO0gum5ubUCgUjOiiUqnqRnzS5ydW1F6Ljp+gIHU0NPiVbnRaNZlMNYNf8/k8lpaWsLS0xMgxdJLt7++v0cKrVCpYWVmBz+fD2toa1Go10+M7Sc08Hq3iMAhn2d5KpYL5+Xl84xvfwJMnT6DVanH16lW8++67B5osH4/H4ff7MT8/j2w2C4PBgKGhIYyOjsJoNOLOnTs1LMjDpiB51JPQmpycRHt7O3MYwWCQ0ejtdjvL5HR1dR1qxFYymWT7x8rKCqvRZTIZFAqFmkiqq6uLqZNoNBpoNBqoVCoUCgVG819bW8PW1hai0ShSqRQrh+h0OnR2djJxCUoDd3R0wGg0Nk3Cq1gs1hympbq99Q7TZyZFKQjCfwRwDsBfxLaDKwC49sLB/TcAfkUUxbGGLG0AzXBw77//PlQqFXQ6HaxWK6xWKyu4HgTS5si1tTUkk0lks1kUCgWWw1YqlSz8B1A3HWmxWPaNYjQaDXOs/E26YHiSC+9cKZ0qlRqLxWKMJGOxWGoWprR2sLW1xep3a2tr7MKnCJOmnNOCX17eJr62t7fD4/GwuiZFnxsbG4yVVi6Xj6So3gycZYdRD2fRXlLx//DDD5kKyOTkJH78x39837VdKBQwPz8Pv9+PaDQKpVKJvr4+jI6Oore3F3Nzc2wcDZ+C/L7v+74jifeSuDhJaLlcLtjtdhSLRWxsbDDSisFgYA7N6XQemCiVTCYRCARYG04oFEIikUA2m0W1WoXRaITRaGS0emJfq9VqlgZNp9NIp9PMqREzsVgssgM1DWYm3gD9H80ce0Xg042Ucjzs5JWz5OAS2NaY/CNBEFQAivjYwX0fgD8VRbHxmSpHRDMc3L179xCNRhktHtiOjCwWC3N49P1BGJCkYML3nMRiMdYzUi6X2WmMwC9EPh3J36h2ttviKJVKSCaTdVOeByG5tLW11eT7I5EIo/a2tbXtmKBANlNKgm86pxOc1WplShOFQoGlPCuVCoxGIyPx9PT0QKlUIpfLsfRlOp1mM7FGRkYaTmkcBGfRYeyFs2Ivr+JP2pAKhQLj4+P43Oc+x9LZ9Wylv52bm8PS0hLK5TKsVitGR0cxNDSETCaD9957D3fu3GEpSK/Xi1dffXVPFuRuKBaLmJubw/T0NBMEpjr35uYmcxwDAwOwWq2s3r4fYrEYFhYWsLS0hEAgwCKrcrmMarUKrVYLs9nMDpwmkwkqlYpJWPEol8uoVCpMASSfz6NSqUCn00Gn07FMCymLDAwMNDx+ph72E5nnsz7d3d27XqNEwKPWgYmJiZoSzFHQTAf3E6Io/kkdB/fDAP6VKIpdDVnaAJqZoiT2I/V60I3SccA2w5KcHu/89gv36xWNebVthUKBtrY2loKoVquM0USgupvT6axxUvtFm9VqtYbkwqc9+f+NUgf88wLbNTNKb9IGpVKpmNQYRXl0qiW5IYruiExDg187OzuZTdSQrtPpmLPr7e2FUqnE8vIynj9/jvX1dWg0Gsa+bLQ4vRfOisM4KE7b3lwux5wF1V3K5TL6+vrw6quvQhAEFoFLbU0kEpibm8Pc3BxSqRS0Wi1LQba3t9ekIKvV6qHG0dQDSWjNzMyw+hlR3mnt8yr8nZ2ddd/bTCaDcDiMxcVFphMZDAaRTCZRKpXYejabzTWkDIPBwA61SqWyhtBBLMhcLsdSlfz7Rr1mnZ2dTLyYR7PWgTTdyB9y96vdFwoF5sToRu0G0WgU2WwW2WwWuVwOP/mTP4kLFy40ZGuzHNxXAWgBfP+Lu4oAJkVRfPDid+lWn+h9584dlEolpoJNkRqdDHO53A7x0M3NTRYVEfuRpG3I6e1HMCmVSqwZk268IgCpBlDPCQDm9EhxhF5/t2bz/aKeQqGww+nVI7kYDAZ0dHSwizGXyyGbzdb0/rW3t7PFTxMUiOU1NzfHHF4kEmFN552dnVCr1cjn82yDUKvVNe0HiUQC09PTmJ+fP/JAyIPitB3GYXFa9kpV/EulUs0U6suXL+9I45nNZsTjcSwuLmJubg6hUAjAdlqQetbm5+d3sCCvXr2KN99880gpSFLZuXPnDpuIodVq0d3dDavVytjBbrd7h9NUq9VYWVnB+vo65ufnsbi4iOXlZcRiMWQymRptReonI+WOtra2XanzhUKhRlmEGMvA7iog++Go64AvUxwk3ZjL5Zjj4h0ZL4KRTqdZpoqyVXSQsFgs6OnpwWc+85mGCWXNcnDnAbwPIATgjwD8MoB/BeD8i9srxzHR+6BohoP78R//cWxtbUGhUEClUkGj0UCv16O9vZ05LNq4rVYrbDYbLBYLKpUKstksc3rxeLxmkWk0Grbo+XTnXh9soVCoGUPBqxAAH0toaTQa6HQ6KBQKtsCk0jrAds9cvTrcfqlWIrmQ7hzv/PioUqlUQqFQoFKpIJ/PI5/PQ6lUQq/Xs8Gwg4ODMBqN6OrqglqtRrFYrGk6p9of1RMolatSqaBSqVhdwW63IxAIsH6k9vZ2lr5stGGWIDu43UGT30VRRCwWg0ajQWdnJ+vFcjgcuHnzZt10HvVcPnv2DMViEWazmaUgC4XCDhZkIylIYDtau337Nu7cucMcqcPhwNjYGAYHB+FyueBwOKBSqZDL5dgg4mAwiIWFBVbj5jM4RB6zWCzo6upiGQdKN/KU+ra2th1ZG+mMNF4FhFKNB5Ehq4eDrANia5Izq5du7OrqgtlsRltbG7LZ7I6IjK7xTCaDbDbL9hpyZNReQJEm37JAB+SD2rsfmtYmIAjCCIBfAfAOgC5sTxP4MwC/ehLTBPZCMxwcTf9dWlpiZIutra2akLpUKrHeE5VKBa1WC51OB6PRiPb2dvaB2mw2NpmA1AQymcwOpyNNc5IkTj1IdeTS6TTTr1MqlbBarWzuUmdnJ1QqVc2pilKvfJ6fT3Hyjs9kMu1Lrslms3XbGmjB0oVB9QPStzMYDHC73XC5XOzAYDAY2OBXcnjUw5fP51l9gvp0uru70dfXh2q1ypQbGp2GzEN2cDuxtbW1Q8Xf4/EgHo9jaWkJRqMRk5OTO8afZDIZzM3Nwe/3Y2trCyaTiU3FttlsLAVJjdg0nfsoLMhqtYpYLAafz4c7d+7A7/ezWt7ly5cxMTGBtrY2tsHTJh8MBrGxsYFsNssEgunwSNGLx+PBwMAAq8WRA+PBz0ijJux6M9L4oZ+HbSfYC/XWQalUqmE2UrqxUqlApVLBaDSira0NWq0WCoWCyWtRzZCY4fT+VioVln7V6/XQ6XQsc0R7CDmz/TJHZ8rBnWU0w8E9ePCAjXYgqSC9Xs8iExpfT5RccoIUsZEjpFQNKRhQaE7PRwtDq9WyWptOp4NWq4Ver0dXVxeLEulWL9Iym80IhUI1UV40GmW5crVazRwufyrLZDJ1CSjSOly9VOdBtDV5kgsf+aVSKYTDYeYEqYeQ/mfSuRwcHERnZ2fNiZpYZ8QkK5fLTByW6NPUulGpVNggyYPQ0OtBdnDbIFkqURRrVPxHR0cRi8Xw6NEjlMtlnDt3DhcvXmQRNLV+UM9atVqFw+HAyMgILly4gMePH+O9997DkydPGm7EJoH0QCCA+/fvY35+ng0sJeKDUqlELBZjNHyqc9E1ShGXzWbD4OAgBgcH4Xa70dvbC4fDsSsphkhkdO1tbGzUzEiTOrPDOuzDwmw2M6cdDoextraGYDDIDuharbZm3yEHVK1WWb2P9js6zNPf8LV5vvduP2Wn/ew9Ew5OEIRvAfg5URSn6/xuDMC/FEXx7SNb2SCa4eD+0T/6RwiHw4zpRE6HpGo0Gg0rGBMd12AwMGcFgJFCkskkmw5AkjpEsshms2zxUP2OUnwqlYq1Emi1WtZ0abPZ0Nvby/LgTqcTgiDUpAnp9am/hmdu0uvQRcdP2SVWJtXheImxzc3NHdqaxACTRn37UaZNJhMjm9Bzk6pCJBJhQqwKhYKd8t1uN/r7+zEwMAC9Xs8OF6SjubGxwYgr7e3tsNvt0Gq1SKVSLNfv9XoxPDx8qH6fT7qDI4r/7OzsDhX/WCyGqakpJBIJ9PX14fr16yxi3tjYwOzsLBYWFpDL5WA0GhlhpFQq4b333sPDhw+ZXNtBtCAJ/LW1tLTEamFE7qAUN33uNLqlUqmgWq2yTZ3aZigq4x1QPXUfGktF1xV/oKTrip+RRtdWoxNGDoJqtYr19XUsLCywTEYoFGLN3jxjk+r4tNdUq1WWXaGIlRwcL7LMO7KDXEM0Koeet97XYrGISqWCixcvnhkWZQXbdbapOr+7BuB7oig2p2PwCGiGg/upn/opRg+mUJwXGCVJHFogdB+dcHiHyFP8aYG1t7ejra0NKpUK2WwWmUwG6XQam5ubWF9fRywWY86FGFSU66Y0Hf+abW1tMBqNTDOSxtqQondbWxsMBgO0Wi1jMRFzU5o2oYuSLnQ+9VIul+s2micSiZq2A36UEIm28iore23C5Fx5ncvV1dWanjyq37lcLvT19cFsNiOfzyOVSiESibA0Uz6fZ9RrvV6PtrY2dHd3Y2xsDOPj4weaovxJdHA8xX9lZWWHin8ymcSdO3ewsrKC9vZ23LhxA263G/l8nvWsxWIxKJVK9Pf3Y2RkBN3d3WwcDaUgBwcHcfny5R0pyEqlgkwmw0R7qc+LCBDLy8usVkspf6LNGwwGVue22WzQaDSsBkzXCa3tgzggOqASkWRlZYVlRmhGGv9cu81sbBaI1BGPx5lTJ61LSh9qNBrYbDa0t7czchdNCSDHwk9AIQYnHdqpF6+trY2VBPZyUryzItYofX9QfP7zn0d3d3dD700zHdxNURTvSO7XAvgFAH9bFMXG5h40gGY4uEAggGg0yrTe6OJKJBJIJBLI5XJMs42+Ui6bbtS3QqlOAtWzqHlTo9Ewx9jW1saYkkQCIUdIAsfkADY2NlhvGvWSkC30ulqtlqkgkJPhx+JQzatUKjFHS/8r2UzpGn5TkObTq9UqUqkUq73xkR9/IfFtDRqNpqb9YL9Tey6Xw8LCAjut89JFKpWKvW9UvyyVSkxeLJFIMGmicrnMan9XrlzB+fPn4XQ6d33dT5KDk84yk6r4F4tFPHnyBE+fPoVKpcKlS5fg9XoRCoXg9/uxvLyMSqUCm82G4eFhDA0NYWVlhY2jyeVyMJlMuHz5Mq5duwa3273jGqPv6bOiQwutJ2qIpgMbyVbRpk61LGIaH8YBpdNp5szoEEjrl7RVjUYjez6LxdL0kU98dMozE6PRKDu4JRIJpFIplMtlqNVq5tANBkNNzZyUTIi9SAxPKo/QQVytVh8qelIqlSyTRXsYRcX17uf3ut3ut1gsp5eiFAThVwD8wwO+zj8RRfH/eUjbmoaTkOoiWi/ls+lrOp1GMplkxVmKzChNQBEYfS89+dBC5B0jRWsAdhBaDAYDy4VToZhy6Llcjl0I5ACpHgigJgKkkxuNvqCTLuXbyWmTM6Y0qcPhYJvKbikLGiXEO716bQ18vx2f7tytOE2MtHA4jEAgUEPXpskGarWatSbQqZevvwBAd3c3JiYm8JnPfAYXLlzY8X98EhyclOLvcDh2qPjPz8/j3r17SKfTGB4exujoKFZXVzE/P490Og29Xo/BwUGWgvzWt76F733veyzV39vbi8HBQTgcDuak9Ho9crkcq6MCYE6Nshh0gFGr1eju7obRaGSasLlcDnq9nk2q5w9h1N6zH1GLd2a0JhQKBWNG0vNRq89h31tK/fHRDY2foWuCsiLkzIrFIjts0nomZ6ZUKmvq+EqlEoVCoWa2mlKpZNJ8/IHZbDbvqLvxTmYvJ8XffxxzHE+1BicIwnUANwAoAPxzAP8LtmW6eBQATIui+F5DVjaIk9ai3A8UHREDSeoU6ftsNsucEDlA3pHSRVIoFGoiR7pwaIFT7pwHLU4AzImSc5WmYGnB06ZCGxz/PeXtNRoNo0OTFh/1ETmdThiNRsYglb638Xh8R6pzr3476a0e44xO+zxLjN4/tVrN2igo1bW6uoqVlRU2wcFms+HChQt49913ce3aNeZoX0YHV4/iPzw8vEPFf2NjA7dv30Y4HGbRN+kmFgoFVsPS6XR49OgRnjx5gmAwiGq1CovFwogonZ2daGtrg0KhYIc5tVrNWgr4DV+pVLIDXGdnJ9rb25FOp7G8vMzGOPX19bGpA+SAdjtk7TXwE9iWk6OIjE+lS1NzOp2OsY+lqTmpI6OUOQmx5/N5xsykMgOBricALPtDpQ+i2pPD0Wq1NQfdjo4O5sw7OztZ7y2Rs87KVI79cJZIJl8E8FVRFKP7PvgUcNYc3GFQqVR2OMK9nCJfOyM2ImnSUZ6dnCHvNMk58rlycnr0Pb8eyLlRzZE2EkojUcRJTDRigVKaleZf9fb2wmq1spSgwWBgUSPPUqV+O6kD3K2tYbcZesViEdFodActmqJiUooJh8N4/vw5nj17hlgsBmA7NTswMIDJyUmmlUnpz0bYYseN/dZtPYq/IAg1Kv6lUgnRaBRTU1Ns+KharWZpbF6Me3NzE36/n8natbe34/z587h48SJsNhtKpRKL4nm7MpkMlEolYx3TZ2I2m2siB0pP0pinixcvMtFjac2nWCwim80iGo0yQlcsFmOHJmIC0sGL1l09aax6oIhToVCwz5+/jviyRaFQYI6I2NFUJqCeuGKxiGQyydoS6LnVajVrFifimpTkQeSZ3RxYK2QeKpUKK614PJ6aUWFHgdwmcEA8e/aMNS8C2LGI9joV1fvdYU9RB31+Sk2oVCqW+pM6MvpKlGV6Drqo+WiOd4zpdJo1b9Lz0CZBDpCiRd4mvjWCd5R0IqVISipdRJEabQIkcE2pGGJm0smY0jmpVGpHozlfMOdfQ61WMyHseDxew7yk/sF8Po9nz55hfn6eNeGSrdSASyo17e3t7LXoVq8x97BropHHG43GmjYPYHsjCQaDmJ+fRyQSQbVahc1mg8PhgE6nY9kDSqlTZJtIJGokpEhNxmQywe/3w+/3Y2NjAwqFAj09Pejr64PVat3x+kajERqNhh3AqDZE643UbWhdqNVqNjmDXt9utzMxBVrLJACQyWRqygEEcma8qAEN/aSsBmUspHUi+p4EC7LZLBQKBeLxOOvrpHVH7z+Ny5KuvUqlgnA4jKWlJUaYoqiOHBmNvOnq6tqhQnTY/rh6RK7jWm+73UeHcNpD6DPi7+Ov23fffffQbSFSNLPR+0cB/AyAMQA7OOGiKDZGh2kAzXBwf/Znf8ZOVIR6789e71mjjz/MY/V6/Z7CqjwNmE91FgoFlt6kr/T7en/PE2qktURyalTbIxvL5XLNa/HOjwfPRiWnyRezqe5IiijkFGljpL+hSFLKFAPAiDx8rVGlUjFZMOqvo+egBnaKHiltS6dqg8HAIlaKfnjGpvR2EukivV6PVCrFnAk1y9N7Qe8Zn86jlGCxWKxxbKTSQ/JpNNCWeryoxkOiBLyDUKlUKBaLjDiSyWR29FPRkExybMSepDFTlH6jSIWiQaoxUysJtdLwjqW9vR06ne5ALQe0jumap944qg8SiD7PH7r4m1KpZD2YsViMtQTRkGSK5MiZWa1WJtdFpJlmrgPp+m8GKpUKu573utXbv+g6psZ5vgb4hS984ci9qoS9HNyBaf2CIHwBwL8B8FsA3n7xvRLADwLYBPA7jRh5FvDOO++0RIhPaLatu6VKafPhf0cnZ/rKS/jQhk4N7rS49Xo9I8BQ6oo2ZYoUyQ76SkV3ihwBMGfIp7SoV5GGQVJ/ol6vZ5s6bVzFYhEajQYGgwEjIyMsBaRUKln6KJ1Os5P3+vo6SqUSY23yzpY2V7pwC4VCTcqlWCwymTS+f5A24sMcMCnlR6xeuqVSKTbFgTQNK5UKTCYT+vr6GG2ej1iUSiW2trbw6NEjVjsjx6bT6RCPxyGKIlPB12g0cDgcGBgYgNPprKGWk1g2tbpQ1NPT0wObzYa+vj5mh81mg9PpRCqVQiAQwPz8PDKZDNra2jAwMICuri5ks1kmqED/C/DxXLN6Uz3qvY+0fujzlLI2+efV6/WMJs/PcDQajeju7mbpVIowY7EYIzmR1BXZYDabMTw8zNLzRNmXSvMdx+GZPo/DPD859noEOt75S59HrVazyJgON3SjQyt9DpTCpawR3Xcckw94HKYG9wDAHwD4ddROEjAD+C8A/kAUxf/52CzdB82I4JaWlmq0EOnETqe0s4bTdsb8hUFft7a2mFgrFfhpTI9Go0GxWGTvKU8AIZFeagHgGWI0E4vSq+QQ+ciUiDMAdnxWFGXwTfT8BclHIeQgaVIDje6hzZscODk4YmxSob+jo4Ox/tRqNXK5HNMnpYhQKj5LNSECHwHxhwj+fwQ+JhHRxlQoFNDW1samSlsslhpWnEqlYo77yZMnCAQCqFQq6O7uxvDwMLRaLXPoxWIRbW1tEAQBb775Jt544w0YDAYkk0mEw2HMzMww4WHaUA0GAwYGBjA0NITx8XE2GocH9XE9fvwYyWSSzV7UarWIx+M7VECI0bibCgg/foWn2JPjl9aUSaRByjKkpnBge0NOJpPY3NzE5uYmCoUC/H4/06WkujelQnt7e9HX14ehoSEMDAwc65SL/cDvCeVymaUI+XQuqQzRAZOyLDwRrZ7D4vt/eeH3euCjNmn0xj/XrVu3djjPw6JZJJMUgP9KFMVvC4JQBPCuKIrffvG7HwLwz0RRHGjI0gbQDAf3S7/0S6wwzauXUHqKesv4Ux5fi+EluHh1k+PCaTu4g4Ko/YlEAgsLC1hfX2eCs7xzoguBIjV+mjnfo0fpRtq4eeabNNokqrW0CZXvU+SvAb5NgzZb/gKn1CvVGWl9UKqUl1zjSTekekPpNr42QaQgeg5Kd5KgL6nJUz3KbDajXC4zGSYAGBgYwMDAAAYHB1ndi9Ks8Xgc8/PzmJubw8rKCiKRCJRKJUZGRvD6668jmUzC7/cjFApBrVajv78f169fx8WLF5no9/LyMubm5hCJRJBIJFi9p6+vD2NjY5iYmIDb7a6bji2Xy/D5fLh37x4WFhbYBmq329lBgHdk0ibseuNX+NQyD6lyB/+9VO6OFzAgdi85Nb4XjdZFW1sbrFYr+vv7MTg4iN7e3pp5iCcBnqkptZNaDWKxWI2SP08mo+uMl+ziRSr4wyf/WVIGhWdf0/d0LRDxjEoSdAjlD6N8TR8AvvjFL+LWrVsNvSdNSVEC2AJAMfYqAC+Ab7/4WQHAdhTjzhLcbjfW1tbY1FxiLPJ9ajyVnTZG2gClC4X6yvjR89TDRidJSuGd9WixESiVSjaMcXBwkN1fKBTYBszfSNS6UCigp6eHnRaJAESqLIlEguX9+fecml6JKMBfaJRu4S86/qKkC5cuZv7C5Uk2tCZog6WTLf2eokKe3k0/Uz3MYrGgt7cXJpOpJoXIO3iqN9FGRilQYi4ODQ1heHgYNpsNwWAQ3/rWt1haL5vNsvRZqVRCKpVCZ2cnXn31VXi9XjYVm/rKrly5gtHRUajVaoTDYfze7/0eY7VSepZ63gRBgNPprHuKJxWQUCiEx48fY3p6GplMBjqdDr29vbh8+TJLh1ITNl8PnZ+fr4nGpDUlEkagVCnvyOpN6CiVSkgkElhbW2MOjFK9lBWg94hupMpD8mQmk6nuRPvDgA5HfC1cKhpBo6corUpfKZKntcs7FbpRZMWn72nNUVpapVLVCFPQYYt3TvR8h4G0bs6XDqgPj98bqf76yiuvHPn9PAgOE8H9MYD3RVH8J4Ig/HMAP4LtJvDCi68Loih++tgs3QfNiOB++7d/u6Y5mg/Z6Xt+MdJCk/bE8H/Db5g8eHIFX0uiNBkfLRJLj48eKbVD0SYf+ktv9FqH/T3df1TQBUORE9V2+PukTe9UA+N75EgPk95PovprtVq2QdHGT59JpVJhBwaepUdFf3JevC28MwPAqMx8A750Y6I0LTla/nqiv+Ob64lcQHU72qyppkRagfxzbG5uIhgMMlkmau6nzwgAey6+L0ylUqGjo4MRP0wmE6rVKquXVavbAshut5v1TyUSCeb06fmGh4fZ9AdpmjCTyezQZ6Qht7FYDG1tbfB4PLh06RKGh4fZ/7a2tlYTefANywBYfVMajZnN5l1bNUqlUk0URjcpq5AUPCiarlQq7IBJQuck0kxsR+qD4wkVUkdFX4kpyNe0yEHRjV87vBAEORY+kyDVqKX1xDdh886sXusD/d/0GGkKkTJW9WQHefUTqWA8X+c+CpnqLPXBvQLAI4rifxAEwQLgtwF8HoAKwB0AXxBFca4hSxtAMxwcFTwpTclvbPyph79J+83oez5CoIXOL3ieOisN43drxuZrTLRh8rPreMYhbXh83w/PXuLJBsDHjaZ8xFpPXYVsqpeqkP4sbSnQ6XQ1w2H5m9TJS3+mTZreY35yA13sdCig+gFFQPR6Wq0WVquVEQiITUnMQ96hUpMwbU7UlsDXK3jBWn4SM/3vxBCk+iRFiPzhhk+BU5MzfU9TGbLZLHPqlO6kz5OcXLFYZBEKiewSu0+qZtPW1samSxBhh6JgkqTq6emB0+lkETQRYoiowcvXEXK5HFMG0Wq1cLvdsNvtrKZFmzcN+5Q6MXJkpCO6G3hRcD4i45u4iY1JuqP8Z0zXHIl604FRo9HsoLVTNoEiPL5vlP+ZWnL4g61Uuo9f73xvKd9CQ06ErlmK9vm0ojQK4g9ynZ2dNaNseId0FjNDZ8bB1YMgCDoAOlEUE/s++JjRDAf3ta99jW1EPPmAJyhIi6/Sn/n7+LTAbn9HzD3pKZAuSD49QRsLFYiz2Szi8TjrA+KjIunFBqBudMafBKUXD5+n5+2XEjb455JGhPzF3NbWxjYWoFZ95ahUeqq78UV0vhmelzzjDyMAWJqHPmPaVCiKpsZePn1I7wGlKaXN9fSZRKNRtqnTRkQbJX12FO0TpNcifS5ms5lpKvIOkEgsqVSKOSnqx5ufn0coFGKN1SqVijlImsZOh462tjZW53M4HDCZTEw6i2wlMgJFPrQOFAoFYyoWi0Um3E3zEHkZNovFwliVlL6SgncemUyGzVSj0VQ0o5FvVaH1pVKpaogVJM1G1wF/PfOHIF4aj4+WeNZuvXYefn3z1witGSIikRMlJ873ulG7C59SbKSt5CTr8nzrgLQVabfvqfRA0eo777wDm62x6taxN3oLgvAWgL8niuLnGn6yI6IZDs7n87GLgha+NNdNJ2HeiewmWMoXYetFRrzzocfzaQlpxESPAcCU0kulUk3xV5r+o9fhFyKfFqRNgn8dvkmbTpm8FiYfHVJtkfqi6CvVHomhRps0f8qWvld7Rcr7/S6fz7NIi0RqaVMkoVqSSqLPk9+UlEol22yMRiOLXPiIYi+byNnx0x+SySQCgQDW1tZqpkHQRU5EGF5hhnd4fE2P/yzIYdPz0cZNNUdiehLhghiIvO18fZDqddJRJnyUQREO/R2lhHO5HKvP0eRm0i2ktc5vbpSZoJYNWrPStUlrl64PcjzkWOkmvcboPaGomGrdtCb5iEZ6YJHWtMgpGo1GFItFdlDg6+mkvk+RFt+jeRo4iIPja4F7OaHdHBNfktkPxE3g63N8D+mNGzcajiwbcnAv0pHfD6APwAKAPxZFsfjidz8C4JcBXAUwI4rieEOW7m7DzwH4uwCcAJ4B+AWp9mUzHNyv/dqvIRqN7qBjAx/Pa5NGHPSV36AVCgW7OPkIhq/FSRlK0hw7HwVRuoZ+pu/1ej3brHiqu1RPsh5ow6B6jXTR8zp6dONrBrwTrRcp1otwKdVC9UQ63VKKiifk8CxVvtZGjkPa1yQlItBGRA7WZDKxAwFFWjSdgdJL6XSabZJEaqEUb3t7e804IeotI0hTnESeofc0HA4jFotBoVCgs7MTIyMjcLvd2NjYYBR0ivgUCgWL8Oj/paG6lAKVrkmemUbRER8N8NkHcob8QY0/XPHrUnqw4g99FOHS+pOms3e7TgDUHBLIPgA164UnKvC0dP5/5Q9e/JgmUlEhSA+ZfOTHHx54GTn6vquri7WGEHv3sHXuZuAgjkmtVrMId7fH7XYg5yF1TLyD2u1+KcGEDlB74bTFli8A+AYAB3f3fQA/DOD/BvAKgOcA/icA/0EUxcYm19W34UcB/FsAPwfg/Rdf/xqACVEUl+lxzXBwf/kv/2VEIpGaQu9uX6U1JGDnxUzf85sM3cdfXPXSebvdz39Vq9VsQ5S+Jr0WrxDC/730/nqP4f9nAp+aqVej3I2pyKe3pCduaeRYD/zJneoLPAGBSBo2mw3d3d1s5BDVM/giupT5R6kwckrk9KiXiiSoyGae2EEXMNH6KRUrHRZJzM6lpSXcvn0bT58+xcbGBiwWC5tT193djXK5jIWFBczMzMDv9zOJJ6pdEsuWamA03Zwns/AbKq3Ves5nt7qQ9HBF6Vj63/maEb/JUV1TOlSTr10CHyuD8M6EzwzQQY1GH/FsQnoenrVHnw1FxDwbFgAj5UhLBPVIFHxtmk9d871hUocl3R/q3b9b9M/Lj/HXBe+M+cfV22v4G2ls8nVsKbmE7ud/rve9NA0L1B6ypYehw3wlXL16dc/r/iBoxMF9GduyXP8tgEcAPAD+NwCXsd0y8POiKP7bhqzbB4Ig3AbwWBTFn+Hum8V2Y/nfp/uaNQ+OSAHSqIv/kGnB0YVUj0HJpzKlNTH+xqdu+JQO/3c8lV16AqXUF9kkJX/UI4NInUq9je8oi67e30jJKZR7l974dNRedSmgVoV9twu+HuNMqkMoLdrz0a9Go2FN57yqC28zUBtBUM8br2xCKUmiqtMoGNrs6bOlQwe9R+QUpPVN/uBAz0F28NEV/17x74v04CRVnZBGhRTdkmPT6/XssdKDIB/F03tJ7wnpjJIWJtU4+YiaDhf8TEH6P8lW6egWiiJ5R0VpSClJiQd/bUpTo3xES2lKft3S/8y/t/WuHT6jw7/3ex009jrQ7nYg5W+7sSiPAwe1aTf7VSoVvvjFL2J0dLQhOxrpg7sG4O+Ionj7xc+iIAh/A8AsgL9+As5NC2ASgFQh5RsAGusOrINnz54xkgJQvwGY/1n6mKOA1zM8LEh3TurM6n2/2+/40yJd0NITpvRx9WqK0p4eKSOULnR6PtqspNEkf0KW2lHvgEC33U7J/Ge32wl7r+93i8r5DW63NVAvwpemrfiNlJ6HNmWKZqh1gpwNn6Ikp0POlDZyso/XQSTFlY6ODuj1ehSLRTY9nv/s+BFOVLciO3i2IL0OOQFpBFmpVJgs28rKSo3NfMRJ7ws5KIPBALvdjs7OTnR3d7MJ83wERV/pgCklaJGyC/2e2j2khxOyideV5NcSpeqImMQfNPlDGYGPFvlIkGymz0uqW0qfoVT1o54KiHR98T+T2ky9Ay19XvUOt3vtDfUOyvV+pv9feqCm+6XXaLW63aZynNjPwTmwc/4b/fyo2cbUQRe22xDCkvvDAGp67gwGQ8OKAufOnauZS7Zf6rGRr4d5zG5/Qyf+Rp7jILZVq1XG1uM1KHl1f54UQBe5dIow0fIpRViPWMCTXyjdJCX0SJ2b9H7eUdPf84QOuvFRM7+hEaSnbB71Il7eWfHpJh586lhaU+UjoWKxWFMT5D8TPl0LfKz1R5EnOQMAjBywtrbGMhQAWJqR6pxKpZJJN1EEQPbxrRb0d9J5f/R/8wQEsp0ONvwhRfp/kZPj6258Pyiv4ckP/uT7P+mzJvk0/nBEr0m2SQ8x/OfHsywplUe2SdWMqMWAb8/hP1eFQrFDpJwfr8Pfz+tu7oZ6LQK8M+RnIEpTsM2qBTYTxHw9LhxEyWS3EKW0y/3HAakNCul90lEdR4Hb7W4Z+Stg/wItv8HzTkKaSiUGIm1w/I2cGZ+6oRN7vd41nt1GJA7aZIjWzjtSqb18dMSf1Omi5U/9/O/oYq5WqzvGwNB0ZODjGiLR7an+QykzijbVajVLJZKDlKrN8+8lEXKoH4siHDqxU8pP2hwM1Bb0KYIiB0AHBap3kQKKwWBgqbpqtcrkrEjBHkDN/wd8PGaGPud0Oo2NjQ1GqiI7eMfBH1r2ctz0mfKpfXpN6eP5SJP+jndEmUymJkqQrhc+Eqb1xqcpeQfIq/YTyYlXjKmXQiNbKBqktSB9L3gHytslrW/zYuBSx8N/Tz2c9P5JSxy01oh0xF/HtG51Oh0KhcKOej/wsT4k74z5lK60Hsk703qKNYcFrT9q48jlcjh37lzDDo4f1CvFQaz+uiAI9ZzZn0nvP4ZxOVEAZQA9kvu7sTOqaynwJ956DaT1HJPUOWm1WtZ/VO+xtKnQBl1PLVzanEzYSyyV31ilqSn+e0r50H1EVecdIdVH6Ks0YqqXEqE6KW3UpHNJ0l0E6v0yGAysL4taF+r9bzxLzGKxoFgs7ugPBIDNzU0mJh2JRLC4uMiURmjKtN1uh8lkYifzzc1NxGIx1mgMbG/0mUyG9TXy6VuKrigy0Wq16OnpwcjICOx2e82UBnJ8VM+lPrz19XWWmuPZqx0dHazORb8HPp7pR98TcYSiFl4nVLp+ecFnXpGDapQ8eYGa9qUtN/VqwvxnL2XsUr2y3piWerWreuzM3fQYeQeo1WpZHVL6vPRe0Drlswh86pl3hHyaFKifyuZrjjxZhD9ISg+X5FhJAEHqkKUHFGmpoZ499aJrKVuS3w/o/+P/fz6ylx6EfuInfgJDQ0OH3j8Piv0c3K8d2ysfAKIoFgRBuAfgXQC/z/3qXQBfOs7X3i3a2SsS2ssx8acwab8T/5p7LUJyKHTC0+l0jGSyW9qDIgbpxckzEfk6AG2sxBDkLyx+c5ASNvjajzSXTxuZVqutoTAXCoUaJReeNEGgzZNOffS3FBHSBmqz2TA8PMzGqdhsNqamzzsvnjq+F8xmMyM9UD8dTQenxmdqCygUCtBoNBgZGUFvby+LNA0GA7LZLEsD9vT0sPdpaWkJc3NzqFS2x9r09PRgcHAQ4+PjUKlU8Pv9mJubQzKZZCLBa2trCIfDjBJPtSn6vKmVg2et0jrgNzzatCn1R5EDtQ/wah4UkapUKphMJsYMNRgM7KBRKGxPCKf0KDU4U0qa+izJwZDTpAkM1D+nVCprVFKIxcrrMtL1Q1kHcqoUEVB7BT2OnB9f9yGm79bWVs01xZNveIfMp9b59DBdC3sRK8jpADtLAdKasTQy5GuH/O/qlRLoe8pi1BNmqCc2wR8AyCHRdUyHCmnPrLSvkT5f/lBK9vA1U+nrazQaxGKxY3VwZ36i94s2gd/FdnvABwB+FsBPATgniuISPa4ZLMpvfOMbLCrY7X3ZLV1DGwedZKQ1LMJeEYo09cbn8ulipYiLGk8pfUiLhhaTdF4Zr+fX0dHBTqk8w4zfAOoJwUrTa1Jdvv1gNBpRrVZ39NNQZESbNG1UNCKGLg7a2GkeGFHxTSbTrmnPg6JS2Z54sLa2xkbGrKysMHto01AoFMwBqFQqOBwOjI2NYXh4mNWIEokERFHE9PQ01tfXmahvPp9HJBLB1tYWFIptNf6JiQm8+eabGB0dRaWyPQH6yZMniMViMJlM6O/vRzKZxOLiIpaWlhAIBBCNRmvSmNI6EX+qJqfFR1b84yiiI6fFp83I8YVCIYRCIYTDYTb6iBw4zYgbHh6Gy+ViLD7pGuGjvHK5jM3NTZbupeuE+tCo3katH9RmodVqa9KHUnIJr/PIzy3ktR/p7+l/UCqVbJ3zBwS63nhik5SRS06QGsrpIMMLqNNnQ+uT3y/2I3yQs+F/5qNecoJ8dKtUKmtS6HxUTvsOpWHpRvfzkTz/OynqRZz8Hidlikpv/OP+1t/6W/jCF77Q0LV77Eomx40Xjd5/D9uN3k8B/KIoit/lH9MMB/flL38ZGxsbbEOrxw6q54D4U5oU0toUHwHRzwBqLlaeCEHOTHoSMplMsNvtLA3H58qpP24vQVjeOdVL8UjB14mkzolP8Ujv41OAHR0dNf1mvJYgP6SRSAK8pBGvK0iP2+9rPWIIsK1LGAwGmcoIDQql079arWaHgI6ODiZETI/R6/Xo6+uDx+OBWq3GxsYG1tbWMD8/j+XlZcRiMZYq1Wq1bHMvl8vQ6/VMrsrtdjMSRzqdRjAYZDVLfp4cz0Ll1x2vM0m1Okq/Uo2Of83h4WE4nU5Uq1UmiBwKhdjYIorsKTKrp2NJmyM5AKrf8S0BNNqns7OTZQP4SIe0KIGP+9f4xn3pJHB6banTkNaG+NoeXbN8VoQ+B779gG+3oOuS6mYUceh0OvY4vi7Ntw5Ie+94Z8j3nZHoAGVNeOk1OpTQ30kZh9IIT5oxokMm6aby1znfiyglV/F7HV8Dl0ac0kM0XwPn/1f+xt/HR4t0Pf7cz/0cbty4sefesx9a3sEdBM1wcL/7u7/L1O55au9uNykJot7PAFhKhJ//RadZOl3yTECeycUvHj7NSKc1Gp2y22ZO2C1Vwb8GX7Svl8qQRqJ7/VwqlXYMWywWizVSXQqFokYxgr7X6XQNR2QUDabTaTaGh2pdvBQb8PFEZyllm9T1KQIjR61Wq1ldkzZjPsojtQvaWCglSOk42uDJQdBrlEolNl2ADgZ8JM6LEvObBKn4r62tYWtriym7UD8nTx4wGo2wWq3sptFokE6nWYS2ubkJAOyQ0d3djc7OTtb/RtETHcDS6TTTiCTdSoo8+AhHSqrgU5aUZpYKBBP7kjZlOvDxpA7gY2Yh36xMkStfHuDLAhT98M9NTotX9qeaMaUyyUHRfD8i8ZBDKhQK7PPkPwtyLnTjD2J0aOYPwNL3jXeAUuYv/3/StcdfY+Sk65FHpLVI/n3lo0Y+TSllhfKZHt5pStmyQK3whEqlwi/8wi/gM5/5TEPXerPmwb30sNvtMBgMbMLsfnR6SjtJpwNIHZmUGs2TM6SRHcnbkHOki5KcJ50yKSVCtSgpk1H6c71WgYP+XK+NgH4ul8s1jEuql2QymZqCck9PD+x2OzQaDWuGptSi9Pn59Iq0zkk/U91F+ppE6OBnZ/EHBn6uF6U4+eGparUaiUQC8XgcwWAQnZ2d6Ovrg9FoZNFBKpViU68pPUXpSdLBLBS21fI9Hg+cTic6OjpqTt5EBohGo9DpdLh8+TImJyfhdrtZ9NrW1lZTH6E1J0WxWEQkEsEHH3yAmZkZJJNJdHV14fz58xgcHES5XMby8jJCoRBWVlawsbGBpaUlVvQnzc2BgQGmwQmAOW2aEt7T04POzk5mj/SAQwSXlZUVzM/PIxAIIB6Ps7VA69tisbA1yX/eNOtPGrlJD5T0N3x6jW50fZAzIrk2Wm8Gg4EdEHlyljSi42u/NJWd6q7r6+vM0fLvA13T9bIXJKtHe4DUudJ6rhdZSa85PnPEM4gpgqc1SQ6Y9hRyLnwalPaoeinTeqlUHkqlkh1KyTY+0uTLOXy6lE+xNnqQ3Q9yBMeBCANEnaZTdjqdZqd/nkpP88KkhBH+REoDOPkTOOkrSlN99dJ+lL+Xpkyr1SpMJhOLLuoVeaWPr/e7evnxevcTPZkfFkkkAP5vpYQV/uSv0WhYDYevoUhrHvxFVu/EyD+Od4AUFdB7T0SMrq4uli6TRrDkpGOxGERRxMLCAutHouehOg3935TOo6GYCoWCrQlyCJ2dnWwj5yNhIizE43Fks1mYzWaMjY3BYrEcer3m83msra1hfX2dORAaArq+vo5wOMxSv+Qs+dQ1vX+UZqSvPH2cIqF8Ps+YmPR+WiyWfXur6NARiUSwvr7OIvlqtcrYmZ2dnWziNk1D4B2PdHYa//nzmym/lsj50Nrg60YUHVHUTlkDSqNKHbdKpWIHJXrOcrnMIlg+YpZmY/jXJkjr63zqTsoy5B0N7/j4bA9FgbT3kOOgQx3PECUSGUWhtB+RVis/Xouu3XppSN7JSrNZB71fqVSe7XE5ZwnNcHC/+qu/inA4XMPs40+R/AlNqkRAuXRaILQopKfvgziTegXZeiAlk0bBU7WpWM+P6qFolL+g6uXXeRp5PVBNSJrm5V+fpxVTbYmPZmkToI2Dp/XzRBpyZlQz4uubvCAyDf8kR0D1KqvVyh5PqTeFQoGOjg709PRAr9cjHA6zSQFarRYOhwMul4up90tvWq0Wc3NzmJubg0KhgCAIGBoa2hFh81+lNwCIRCJsHI5SqYTL5cLFixeh0WiwsbHBUoaUuoxEIqhUKrBarZiYmMCVK1fgdDrZc5bLZdazuL6+jtXVVcYWpXQu1ebIMVLqdGhoCOPj4xgfH6+JOHn7+c81Eolgc3MTz58/x/z8PBORBsCiLUqL0sFQpaqdBUjRjnRuG9/6wn/PH4z4yIl3GBQZSbMp5Azp4MTXAPm1SSk3AIzlyTMOeWUV3olR2pGPwui5pW0B5PToOqCouVAosOuVDuR8pkMaEUuZnuQE+WkI9FlYLBZ2mJFOC+Fn1h21T+7MOThBECawLZ/VB+DfiKK4JgjCCICwKIqn1iHdDAf3K7/yK9ja2qpJb/ARCTkvfiPnFyv9vNeNfwyBFtpef1/vd3q9nkVEfE1hv/YEuugo6uC1Fik9S69Hjpwo5bTApVp/vPCutL+oWq0yKv36+voOMgH/PtKFRidUql+Wy2XGtuzo6GBRhNlsZs2t0pofNTLHYjFGYqCLnzZHrXZ7CKogCBgYGIBGo0EwGMTy8jJWV1dRKBQYW9BsNiMYDGJpaQnpdBoajQbDw8O4ceMGrl27xpidFIXwWFxcxN27d5FKpTA0NITJyUkYjcYDr81CoQC/3w9RFLG1tQW9Xo/e3l5YrVYWWYdCIXYoolYJm82Gzs5OxONxiKLI1EycTieGhoZgtVp3pJMoYtvY2GD1y/X1daajyTsUakHRaDSwWCw1s+DIcUuJGCqVipFIKMVMOp38vD6+gZsXziaHU68fbLcsCDkNulZpvVEURhmJaDTKpoCTYwQ+Plzx14b00FtPD5OyNuQkNBrNDvIH1f74zIW0tw1AjRoJHTal5C6z2bzDufLlAyJ38VqfUjY0bwdfLyMnK22op8MO1XXpOrDb7cwp8p8f7wzPjIMTBMEE4N9ge5JACdv1u+uiKN4XBOE/AlgWRfGXGrK0ATTDwRWLRZjN5qZERXuBZ6DxzEYpy3G/x+l0un1tpQ2GPwHTjc/j00VI0Qs1LFMOf79UFClk0C2RSLDvyUaKOKnZmtJSdDFSb1IikWDOjZhnfGMz78x4KjOx8eh9I0UHSq2RKnwul4PJZILNZoNOp0MymcTS0hKLXKh+Zrfb0dvbi1wuh0AggI2NDajVavT19eHWrVt47bXXmHp7vR7GSqWCjY0NPHz4EOFwGO3t7Th37hxzKvUeLyUQJBIJ5mxTqRTbYACwTVGlUrH/haLX3T4vSmuGw2GUy2XWn2exWGpeX5rSJqdHUb10EC9FD0Sn58kxJK9FB8Suri72ufCEB5Xq4+nqFFESQYMUYWgT7enpgcPhgMPhYI3vu4FS3fzhh6+X8z8TyuWPVTcoBc3P2uMPmbQ2CeQgpPU9upHD4qMzek0+vcqToOgx0hIAHSbpGpTuCUR6ogM7H6HR3kDXHfUg0qGG2M48kUrKQuX/X+IWSOuEUgIRPwD2Z3/2Z+FyufbcW/ZDsxzc/wng8wB+Etv9aDkA1144uL8K4JdEUTzfkKUNoBkODtj7RNEsx3SQ95wWRr2TKZ1aSW2D7uOp3fyYEd4JmM3mmlMWpR54enU9VKtV9nz1HBnfB6dQKGoiPro5HA7WMB0KhRAMBhmlnhwur3pBeodUcyAqOr/B8/8z1UsUCkVNvTOZTGJ5eZn1pJHDp6iVHAWlJ51OJ4xGI1ZWVrC2toZSqcRaA0ZHRw9ULyuVSuzvySn29NQK8uxWl1CpVFhfX8fc3BxCoRBz9J2dnWxz6urqqulf0+v1bHQOz67jnag0BRwKhbC6uopMJsOUUniSiRS8ygetR54tm06nsb6+zlKj1CtIp3un0wmbzcZq0FarlTXmWywWmM3mmiipWNyeoxcKhVhLAzlTer94ij3N/qNUKc9UrtfTxWdl6g0uJWdC5CFg2wkRQ5Jum5ubjBxDoF5U3hnRQZFn+PKlAD7y4jMtFOHRAYKcIO9I6HDT2dnJIjnKsvCfPx0WpDepE+S1NqmGLs2QbG5uMhEEYozSOuCVbaRrjxy4UqnE3/7bfxs/9mM/tu/1tBea5eCi2J4s8O8EQVABKOJjB/cWgD8RRdHckKUNoBkO7tmzZ6woflTHJM3h7/Y9bRJSyRu+abceKpUKS0kVCgUEg0GWcpA6MnJgtIG0t7fXpAekUQTR+OmCpRsRa6QEEL72SLUDqnlR31g0GmWnQTopVyoVdlFSXYM2A/594Uk2tCnwaUYCRQs803Frawurq6sIhUJMtJiiAHrPVSoVa3T2eDywWq0IBALw+/3s5D4wMIDLly9jbGyspp2CL57zDkqhUGBpaQnPnj1DsVjE6OgoLl++zMTA+doJbTiFQgGbm5tYXl7GkydPMDMzg83NTahUKlitVvT29sJisbBNmDZJ/vPerR7L9y/uJrW0ubmJlZUVRCIRaDQaDAwMwOv1wul01vzNQVCtVhmTdGlpCTMzM6zWRj2Gvb297PBBLE66dihCo7SWTqdjjEZitgaDQaytrTGGJrXMUMqO1mV3dzccDgd6enrYa/JObL+sBH8t7ZdGq1arLPKkdCs/9odA2RI6WNKtvb2dRclEqKEDHJ91yWQyNRJ1m5ubLMIiR0itGpRipHYTnlDDR5y0nnlWKzG2yQFSjyNfi+MdYVtbGyqVyo6omPYqej9SqVSNYMUXv/hFXLp06UCfw25oloNLA/hhURT/cx0H94MAfkcURUtDljaAZji4b37zm+z0dFjHRD9LL5rdUk/Sk7X0/lKpVHNSpIuG1yykGof01KnX69lrS5+bToR83Y3XpORBJ2SqefBFdaBWXYWXTaIbANaD09HRAbvdDrPZzOpCUsemUqlYMy3fS0RpIaVSyZw2XaQKhYJd9Ol0GtFoFIuLi4hGoyiXy7BYLHA6nRgYGIDZvH3+Inq80+lEX18fwuEw7ty5g/n5eVSrVbjdbrz11lu4fPkyay4nlqG0YZ6/ra2t4fHjx4jFYujo6MDw8DBrEpYelPjaE0U81CNos9ng8XgwMDCArq6umprmbk7KarUysou05eSgSCQSmJ6eht/vR6FQgN1uh9frxcDAwIGdQT1UKhWEQiE8e/YMPp8PKysriEajUCgUzIkZjcYaej4fDVE0T2uHJqur1Wr22RMDmq4njUbDInrSRO3s7ITdbofD4UB3dzejt++HRutElAKkaI+uZ/45FQoFTCZTjeOj73lnJAWxOen61Wg0CIVCiMfjiMViTG6OBBb4jAXfpsT38VJkLm0C5/cT+lwoTUpOkO/VpBvfd0n1V2rjGR0dran7HwXNcnDfBhAURfELdRzc7wDoEkXx8w1Z2gCa4eCWl5eZiG8957DXffXqKNL2gXrg6wPSPjr+s6GLnCi+JpMJXV1dbKHyDoj6W3hqNZ8y4E9sJIElddL0PHTxUEpBqVSy5+PTKPT3bW1t6OnpgdPphMvlQk9PD9rb2wHs3CgKhcIOxh//e1KCJ5sqlQpzDASKZlZXV5m0ltFoxNDQEK5cucJeMxAIIJfLQafTweVyoVAo4MmTJxBFEblcDm1tbRgeHobX60VHRwfUajUj8FDaeTcUCgUsLy8jEomgra0No6Oj6O3trWmepR4vSu0CYEQbpVIJq9WKS5cu4fr163A4HId2KM2cglEsFuH3++Hz+ZBIJGAwGCAIAsbGxnatdfE9VdJTPB1+6GeNRsOi63A4XNNvR2lLcmg8qYSPWpVKJZNt4wkciUSCpTR5NRRyEpTqBsB6IulmtVrrsoCPa8JIqVSqSXXyNz46NxgMNZEeOb56JKW9bOWzP5RajMVi2NjYYD14RDLh1y7wcVRHKdJisVhzSObrjFSTpj2Dz3RQypcySj/+4z+Orq6uht7HZjm41wF8E8D72BY+/hcAfgWAAOAvA3hTFMU7DVnaAJrh4P74j/+4xglIU0+7qZjsVkfhH6dQKFi9SDqShpwU1Y4oSqH6BEU7/KZHDjAYDO6oi1EkRlGGtI+FnNdurQiU0qAUEqVKaLMix6jRaBgxhU7V1BcmBVGnl5aWmDPb2toC8DFDjSJkagOgmhIdHigVolKpmLTVwsICk7fq6uqCx+OBw+FAMplEMBhEOp1mp3eDwYD19XXGglSpVEyhf2hoqKbO2d7ejlKptGvERCnOhYUF+Hw+AMClS5dw6dIlZDIZrK+vsxupgyiVSphMJiZirFarYbPZ4PV6MTIysudJfT8cxyZM6+vx48dYWFhAqVSCw+FAb28vNBpNjdPar87F32hDI0YypWcXFxfZZssPAKW0Ol9XolQ4pesIOp2uRqWF1m0kEmFTMyg9TuuMl+rq7u6G3W6H3W5Hd3c3q+2d5AitSuXjQbF81EdRKkGj0dREeh0dHXC5XDWs7IOCSjN8xohSirxd0nFEPFOaDtQ8a5PSp+QMeV3QcrmMn//5n8fbb7/d0PvVtDYBQRBeA/DrAF7B9iDSKoDvAfh7oih+0JCVDaIZDq5arcJsNtd8qEcB1bGkNz4KMBqNbGFSnYxPR9QjdVAEQAVdhULBGo+lzhj4WLuPTqyUEpL2u9D3ANjmS1EVOUuKMogG3tXVtaPRl9J4tKGEw2FEIhFEo1FsbGwAAJNC42tRVCug74lxxRf68/k8EokEk6RKJBIAtlsGhoaGMDExgWq1ikgkgo2NDSiVSnR1dcHlciGVSsHn82F1dRUKhQJutxs3b97ErVu3YLVa6/bw7LepBQIBTE1NYXNzExaLBS6XC+l0mvWP0ftPKTGFQoFIJMJo+m63G+Pj42xDahRH2YSlcmrS6IvuI+ZpKBRCJBJBuVyG1WrF0NAQ+vv7mbaiNFW+W51rN1srlW2x6eXlZSwvL7MDDj2nRqNhhAxgez1TJEBRfrVaZdcbX6elPkQiF2WzWXat8INKiURCz2+1WuHxeFh/Hq+HehrgHRHVymk/AMBk4OigzKc76X06DHaLMomsRSDRA2ldsa2tjZUx6jXsT05ONpT+Bo6h0VsQhDYAVgCboig2Pmm0CTgJFqUU/MgU3pFJCRC00Hj2olarZSc1clxUj6GcOV/TokI6RYS8igavpUgOizYY3oERuwzYrgtQioIiDVq0FC0R+5Geo54CCdUXqOBNTpkWMKWEyE6eHk45eumFSL1C9D5sbGywHp5SqQSLxYKxsTHcuHEDVqsV8/PzmJubQzabRVtbGwYHBwEAjx49wtOnT5HL5dDR0YGrV6/i9ddfh9vtPvI6iEQi+LM/+zOIoohyuYyurq6aFCyf8jKZTFhcXMT09DRisRi0Wi1GRkYwPj7O/qZZ4O2lYv9uVHiekCAFqa1I1xF9pfTi7OwskskkjEYjS19S7fcwtu4FIqosLy+zaJ8iK6PRiHw+z7IB/EGM1/wk4XGa4UfOi1KqdCjL5/OsFkh1T549yDejkw3UkN7oBt0MkAZmsVhEMBiscUT8Hs/LyvHR315tFvXAk2qkN76Wr1Kp6gqnk7M9S31wZgAmURRDdX7nBJAURbGx0KcBHKeDS6fTdSMy3pG1tbXVUO/pplKp2OYciURYhEEpOqnCglRwVq/Xs1SlNOrq7OxktF8ANcQHvl0hk8mwXDs176ZSKZZP5+V7iI1Y76KlzYJ6Ysix89JJVNMjvUly7F1dXejr62P/D6U/CaVSiY2qWV1dZc6WNmKFQgGbzQZBEDA4OIjNzU34/X5EIhEolUq43W5YrVbMzc3h/v37iMViUKvVmJiYwGuvvYaLFy8eaiOidZBIJBCJRBAMBnHnzh3MzMxAqVSir68P58+fZ0w9nrSQTCYhiiJmZ2eRz+dhtVoxPj6O4eHhIys+ANubCtVS+anlFDHStAP6mQf1pvEOqx41/qBp0mq1itXVVRYZq1QqDA0Nwev1orOzc8+/PcqmtrW1xZxdNBoFAFgsFvT398Pj8UCr1dbUcqPRKLs+KRVMMwIpkuMnWxDjL5FIIJfLMeFrk8mEkZERNq6nXC4jGo2yLI9ara5Jadrt9l3bLE4C0veWeinrpTv5jBIRwfjDJrX5HDbDQCLlUseXTCZrnK3RaMRnP/vZhg97zXJw/xHAliiKP1Pnd/8KQIcoio01NDSAZjg4Cp9XV1drHBl/0qVmU34xKBQKJJPJGgdGzZKkiEDhPN/fJlWKp6nJUq1EXpWA77HTarU7mI9ExOD7awqFAns+6kmiC76rq4vVQvg6k1qtZrJW4XAYwWAQoVCIyVbl83no9XqmY9fZ2Qmn01mTdqUeLYL04tvc3MTq6iqjfVMhm9QYaNCm1WrF2NgYDAYD2+Qokuvr60MsFsODBw+wsLCAarWKvr4+3Lx5E6+++uqhUkqVSoVJW1HzdyaTQTQaRSAQgE6nw8TEBN544w309/fvcFbBYJCxBBUKBfr7+zE+Pg6n03mgtSclZEgjL2qxkIIOOwB27ecidf7jwObmJmNflkol9PT0wOv1oq+v71ApyoMilUpheXmZ9RlWq9u6rDTCyOFwAADLiNBtY2ODXYc6nY6p4fAi6+TwIpEIVlZWmHrL5uYm6zXr6+uD0+lEZ2cnVCoVu+ZpL7VYLKwBnYS9TwoHfW+pBFIvAuMPSBSB1Ut3HoahC3xMcuEd3rVr1xqqPQPNc3BrAH5WFMX/VOd3fxHA/yGKYu9RjWwUzXBwX/rSl1jajTruSaWAogmegUQ5cH7qLjGHeMUB/tTMywfttUB2kyDib+3t7Yx5SOkCIk+Qo7Db7TV1s93SSFtbW1hZWWGKHkReIXUH6nehuhY5M1r4B6Fc63Q6zMzMsOenU3BHRwdzAqSHqFQqMTAwAJfLhWQyyaZba7VaDA4OolKp4Pnz5ywF2d7ejsnJyQOnIIHtiJcng0SjUXaqtdvtALadVqFQQF9fH1555RV0d3fXPAcxDqenp5mE1tjYGMbGxmAymerWueo5sXqMW2LO8k5LGnlRX9xJEyHqIZ/PM/ZlKpWCyWTC+Pg4RkdHa6KaZtqay+WwsrKC5eVlBINBlMvb8+/6+/vR398Pp9PJrrNKpYLNzU3m8IhGT4cGg8HArhNqZaESwfz8PBs6SwxNYPszcrlccLvdTE0mn88jHo+zg3FbWxurxdrtdthstkM7h4OiGe8tr9cqjcCkr8WnHWkvOEwEe5ZSlFkAf1EUxW/U+d1nAfwnURQPl8htIprh4H7zN3+TbaTEduQnAQMfTx4mB8Z3/JOSAOWXpcoPfA8drwYh7bHbrZ+OVNk3NjYQjUbZ5gh8LBJMbEZKA0pBhfzFxUWsrKwgEAggHA4jkUgwIVhiuvX29sLtdsPlcrH64UHrLMD2KTEWiyEYDLK0I+k/UhuBxWJhNZ1MJgOTycT6xwKBAILBIAAw3cWFhQU8fPhwRwrywoUL+24alG4khxaPx9lnarPZ2CbU3t6OlZUVPHz4EDqdDlevXsXo6GhNBBSPx/Hw4UNMT08jk8nAaDQypy/tC5SClCP4CEvqtA4rYHsWHByhWq1iZWUFPp8PoVAIarUaw8PDGB8fZ03cx2FrsVjE6uoqlpeXEQgEWPuKy+WCx+OB2+3eQbKgET90aI1Go6zeB4BFbOT8bDYbAGBtbQ1+vx8LCwtYXFxELBZDuVxmjdwkJabX62t6+4iNTUNhyekd5rraC8e5DqS9uXxPH39Aa2trq4n06g0sbqa9zXJwjwH8uSiKf6fO7/5XAO+0ulTXT//0TyOZTNY0J9PIFdoASUCUb77lHVMz0kDVarUmvUL1M4outFotmwpNFx41MRMoHRAKhdgFHwwGsb6+XjPvrrOzEw6HA263G319fejv72dyP0dBNptlDi0YDLIUqs1mw+joKKvHra2tQRRFrKyssOZqu92OdDqNxcVFxgTr6+tjzmRxcRGVSuVAKUjSgeQjNP7UzRMF7HY7G2o5PT2NqakplEol2O12DA4Osg0qnU4jEAhgbm4OkUgECoUCXV1d6OnpYfqPUhZhPSfWaEqmHs6Sg+MRj8fh8/kwNzeHcrmM3t5eXLt2bdees2ahXC6ztU/9kUqlEr29vejv70dfX9+uxAppfyaxYwkk9k17Ak18p0kRCwsL7ABaLpfZJk8ZIap9FwoF1g7R3t7OnJ3D4UBHR8eR/u/TWAekXiNVcJGWd9RqdU2kZ7FY4PV6GQP0qGiWg/sZAP8SwD8F8FsAQgCcAL4I4P8B4G+IovibDVnaAJrh4CKRCGP6SUkQx4lEIsGisr0K5BSdUeHXbDazNOnmi0GMFJWtr6+z+h+wHeF1dXUx9Q6PxwOPx3No9pQUlUoFkUiEkUNisRh7PZfLhd7eXvT29rKN/cGDB5ienkYymWT6jsTMo96w/v5+KBQK+Hw+PHv2rCYF+cYbb9QVZ+XTjVQLpQMBpWp59pa0hysYDOLp06eIx+Po6OiAIAg140+oRYE2rNHRURaRkBNrxiTyo+KsOjhCLpfD7OwspqenmdJIM/r/DoJqtYr19XXWfpBMJqFQKOBwOFgqc69ardlsZu0uPJGFDkzUQsNfo0qlEuvr6wgEAlhYWKh5PLGgzWYzY3CSQARpWFqt1hoxaVJu2Q9nbR1I++voRk7t7bffRn9/f0Ov0cw+uH8A4O8D4OPpHIB/JIrirx/ZwibgNNoEjoJ0Or2D7UURlVKpZM6MLpaOjg4olcqafhS+Dri4uMgaxon4QTl/l8vFWGbUtNoMpFIp5tDW1tYYy7G7uxsulwsul4tNfga2Dw6iKDJdSHI2mUyGjXghJYnl5WU8evQIsVgMGo0GExMTuHXr1o4UZDKZZM5sdXUV6+vrjHwjjZaINl+vzqVQKBAMBplju3z5MoaHh2G327GxsYGVlRUWZfb09GB8fBz9/f1nghrO46xtbLuBiDx3795FOByGWq3GyMgIU5A5CdBE8+XlZZamttls7FqRimnv9t7StUxlA5pEAYBNeKDrWKPRIJVKsRmCVAbhpcQUCgWbP0jar8DHWqtutxv9/f3M6dWre7fKOiDdW7fbffoRnCAISmxHa1vYbvB+FYANQAzAR6Iobu3x5yeCs+jgSHCYvwj4+WfSxmkao8Lnt0lTLhwO1zAjATBJKaLg9/X1obu7Gzabramn4lKphHA4zJwa1ShMJhOL0pxOZ81rlkolzM/PQxRF5qw8Hg/y+TxTlTAYDHC5XNjc3MTTp0+xuLhYw4K8ceMGFAoFUy2hG9UMSTeUH7/DT+2WEjSkrML5+Xk8e/YM1WoVFy5cwPnz56FUKrG0tISlpSUsLi5CrVYz+rvVam3ae9pstMrGBnxsaywWg8/nw/z8PCqVClwuF7xeb9Oa3w8CGkdE0yYAoL29HR6PB/39/azP8aDvrbS0EIvFdpQWOjs7oVar2aE1HA6zKeckcECZJLr2qVc2m82yx9jtdng8HgwODsLtdrOaV6usA+CM1OAEQVADyAL4AVEU/3ND1hwTTtvBFQqFHSkMXhGFxIaJlmw0Gnc0ilPBlh93wyv3t7W1sdobLW7qm2s2SI2fojRKn/T09LAord6Je2trC9PT05ibm2N1NKJgk9Brb28visUinj9/jmfPnrE5VkNDQxgbG4NGo0E4HGYMUX7kj16vZ/Uzp9PJmn55J7ZfnWtlZQVTU1NIJpPweDy4du0aVCoVZmdnIYoiMpkMuru74fF4MDIycqp9TQdFKzo4QjabxczMDHvv29vbMT4+fiLpSx6ZTIbV7EKhEBM8EASB1VoPG7mTsgq/N5C0HADWF0oOj1oVSL6OUp4ki0X9gCsrK0wAgVqGSNWnp6cHg4ODGBoaOvNr90w4OAAQBMGPbUmuP2zImmPCSTo4ahLlozP+b8xmc029TKVS1YyhoTEfvOIEAKYiQmlGivB4ZuRefWWNoFAo1DRa8xT+3t5eJpxcrw5QqVSwvLwMURRZjxqpkcTjceRyOTajanFxEQsLCzVakFQDIUkomn+m1WrR3d2N3t5e9PX1MSr2UbG1tYWpqSmsrq6io6MDN2/ehFqtxvT0NCOwUBQxPj7esGTbSaKVHRyhUqlgaWkJz58/Z6N7KH15kr1kwDZVPhAIYGlpCRsbG0ilUtDpdIyI1dvbe+Sm/XK5jHg8XuP0Njc3WR8d6a1WKpWawb1KpRLd3d1MzLytrQ2JRIK19wQCATaeCtguedjtdrjdbgwMDGBwcBAul+vAUxROAmfJwf0MgJ8F8P2iKEb2e/xJ47gcXLlc3kEA2draYouRmpzNZjNr0KbCKjWJAtsXLwkfkzwQr1xCjad8H049mv9eth4G1WoVGxsbjPG4vr6OSqUCjUbDKPy9vb01I2ak/VyxWAyzs7OYn59nNQOSNyLKtMViQalUwvr6Oktt2mw2llahNCMpoPDMRrvd3pS6YaFQwKNHj+Dz+aBWq3HhwgXodDqWPtVqtWySwG6TD846Wsneg9gaiUQwPT2NhYUFpt1J6cuTRltbG0RRZJETqQfx7QeNRpqlUqmGuRmNRpmsGD+ihvYNo9EInU7H5t3xw2RJuo7s5dnMlCZ1uVwYGBhAf38/U3hpRGXnqDhLDu73AbwGoAPAPQBhbIstE6qiKP5oA3Y2hGY4OHJCvOI93whK0j3Us6ZUKpnKgXSoIc0q40fKEEmCFhl/O8oJ9bCLI5fL1VD4SRmD1E0sFgva2tqY6jffjMzLkm1ubiIcDjPWI830ovlxvb29MBgMWF1dhSiKSCaTUKvV8Hg8NS0NBx1XclRUq1Um3ZXJZOB2u2EwGNhYJIvFwiS0pI60lRwG0Fr2HsbWTCbD0pfZbBYdHR3wer11P7PjglTnMxQKsebyTCYDpVLJ2Mn9/f1Ni5Dy+fyOcVJ0kKS5kDSWhmbJDQ8PM+EEi8XCpi5Q3x71v/J8AKpfO51ORkjbbcp6s3GWHNyf7/cYURTfOoRdTUUzx+Xw86mIsEDirHxfh06nY+LA/EBMfuK0lOZPzuy4FeRJsisQCGBxcRHLy8sIh8PMfpPJxIrV0tMnUZV5NX+NRsPU8GloJ03xJdWUzs5OzM/P4/79+wiFQiiVSrDZbBgaGmIpRl6QeL8ItRFEo1Hcvn0bkUgEarUaRqORnYgPIqHVSg4DaC17j2JruVzG4uIinj9/zqJuatWQ9oA2G7vZW61WmSD00tISewzVb/v6+pqeWqXMCd+Yzk8aoUO1yWRimRJq1eFtSaVSWF9fx+LiIhYXF9loKXLY5PSsViucTmfN0FKr1dq02t6ZcXBnHc1wcP/5P/9ndrLhw3W9Xs9kqTQaDcuNk04h0fxVKlXNfDQK/Zt9AqIIi3pt+EiL0o5ra2vY2tpi1HjSk+vp6WHOpV5TMj8RHPiY4r+wsMAiPhppQ2rgKysrePbsGZaWllAqlWC1WjE6OoobN26wEyERbI57E85ms3jw4AEb1knRJQ0iFQThQPqUreQwgNayt1Fbw+Ewq5tWq1X09/fD6/UeSPPzKDiovfF4HMvLy6xuB4CN2yEBheNAKpViac1MJoO5uTlWSkmlUlCr1TCZTLDb7RgeHsbIyAgTJyAUi0XWPxoKhbC0tITNzU3WXkPyg6SZSxEjCcGTPu9pDOo9FgcnCIJGFMXi/o88OgRB+OsAfhzAFWynRgdFUVys99hmOLjvfOc7bJwLqZWUy2VGaY7FYqymJp2PZrPZYLVaG+qPKhQK+wru8oMl9Xo9m9/GpxJJGYEUGwYGBlj68SDOlqf404VCUSyxKROJBObn5xEMBlEqlWA2m3Hx4kW8/fbbOH/+fN1043FuwpVKBdPT0/joo48QCASgVqtZo6zX68Xg4OCh9P9ayWEArWVvs2xNp9MQRREzMzPI5XKwWq3wer0YGhpqaj3pKPYmk0lG/giHw+x5qLG8u7v7WFJ/ZrMZiUSipl1hZWWFDZMlST4qDxBzeWhoqCa1SuxPmum4vr6OWCyGdDqNfD4PtVrNhhMbjUZWsqHpIfxtr0zNmXJwgiDcAvA/AHgdgAFABsB72G70/qghK+u/3i8AaMN2i8I/wzE7OJLEWllZYR8m8PFgRd6ZkZL4QUCCu7x6Rj0nxo+vIGi12h1ahSQam8/nEQ6HmT6m0+lkjEdps+pBwFP8aZIC5enJtq2tLYRCIRSLRZhMJpw/fx7vvvsurl+/vu/7cVyb8OrqKr7+9a9DFEVUq1U2ANXr9TLR5MOilRwG0Fr2NtvWUqnEJqtvbGxAp9NhbGzswNH6fmjU3mw2y5wdtR+0tbWxA2hvb2/ThAP2YqhSu8Li4iLm5ubYtARSlnE4HBgYGMDY2BjGx8d3tAFlMpmaQcbU45fNZpm8ITWs81MvaMo6H/FRNuzMODhBEN4F8FUAIoDfxzbJxAHgLwMQAPwFURS/2ZClu7/2NQB3cMwO7vd///dRLpeh0+lq0ow2m21XevxuTot3XpTC5MHXuXabz0W1r2KxiFAoxAgitCAcDgc6Ozv3pPDvB6L4+3w+zMzMYGVlhRWySTiWVAcSiQR0Oh1GRkbw2muv4ebNm4faQJq9scViMXz5y1/GgwcPUK1WMT4+jtdeew2jo6MNF/pbyWEArWXvcdq6trYGn8+H5eVlAIDH44HX62UjdI6CZrfjrK6uMlp/qVSCVqtlKiUul6sh8sxhbC2Xy4jFYpibm2PC0eSAgY/VXUZGRiAIAhwOxw4xh2g0WuP0eFUmqu9TywOJM/C2fvazn234ENIsBzcFYBnAj4iiWJX87ksA+kRRvNGIoXu89ok4uHw+j/b2duRyOTbWfq9RJ/UGS5Ia/36Cu/sVaTc2NhjbMRwOs2GiPIWfRskcBfF4HHfu3GEixqQhST18FosFmUwG4XAY1WoVVqsVV65c2VUL8iBo1kYRiUTwta99Dbdv30alUsGFCxfw2c9+FoODg8d+Ej6raCV7T8LWVCqF6elpNnTWZrMdKVUNHJ+9JAhNdP5cLgeVSoXe3l7WfnBYEYdGbc3n85iZmcHs7CwWFhaYUDU9d29vLwYHBzEyMsIO2HSwJpF4cnakwAJ8PGndbDZDq9VCqVSiUCjg+vXrDQtVNHNczl8SRfHrdX53rONyDuLg8vl8tdEZS9/5znewtraGVCpVd7AkOSyeoCH9+aB1Lilo0GogEEAgEGCpQZvNBrfbDbfbvUNJgXrODoJUKoVQKISnT5/i4cOHmJ2dxdbWFiqVClNF6e/vRy6XY+KwWq0W58+fxxtvvIFLly41PMPqMPZKUalUsLi4iG9961uYmppCsVjE5cuX8UM/9EMNi7XWQyO2ngZayd6TtLVUKmF2dhbPnj1DPB6HXq+H1+vFxMTEgaP8k7CXqPw0cy6VSkGhUMDpdGJgYAADAwMHYh0329ZSqYSlpSX4fD7Mzs5iZWUFiUQCpVKJEddI8Ycnk9E+lcvlmP4macfyxLe33nprx4zFw0KtVjfFwYWwXWv7F3V+9/MA/oEoivvSmARB+McA/vt9HvaWKIrf5v7mRCK4+/fvAwCjwJPjIsfWTIHdSqWCaDTKojQax6HT6Vh0Rv1ku2GvfHs8HmcnqdXVVSwuLiIUCjF2Fy1MQRCQzWaxsLCA5eVlpgX5yiuvHDoFuR+OcrokGaf79+/D5/Mhn89jdHQUP/ADPwCPx9M026RopYgIaC17T8vWUCiE58+fY2VlBUqlkqUv99tgT8PeWCzG2g9IIKGrq4sdRHcTpj5uW2lqx8LCAmZnZ1nJJJvNwmAwoKOjA52dnXC73TUqTB0dHayFgW9zuH79esMTTZoVwf1zbI/G+XkAfyCKYk4QBD22a3D/XwC/XW9WXJ3n6QLQtc/DlkVRzHB/cyIODjjeBUKiwaurqwiFQsjn81AoFEz5v7e3F11dXQeOAMnWYrHITkf0tVgssvHwGxsbbNAoyfZotVqsrKxgdnaWNT1fvXoVr7/++rGpRRzmvY1EIvD5fPD7/awxu6+vD2+//TYEQTh2Nf9WchhAa9l72rYmEgmIoojZ2VkUCgV0dXXB6/ViYGCgbpbitO3d2tpi7QfRaBTAtoQeLwhNOGlbKUILhUKMVU2TTVQqFYxGIxOBrtcPfJZIJm0A/jWAH3txVwoAHe//PYCfFkUxV+9vG0WrOrhyucxU+GkkCwCmou9yueB0Og/dNJlKpZj+5eLiIuLxOJMO6+joYNJYNIGARm04nU6sr6/D7/djY2ODjaN57bXXcP78+YZTkPthv/e2XC5jYWEB09PTbPpCLpdDZ2cnLl++jCtXrhyLsPRRbD1raCV7z4qtxWIRc3Nz8Pl82NraQltbGwRBwNjY2LFpvjaKdDrNph+sra0xFRNSURkZGWl4/EwjyGQyWFtbw9raGhuwzJPWlEolE5nQ6/X43Oc+1/CYpKb2wQmCMA7gOrbH54QA3BFFcbohC3d/rR4APQAmAPw7AH8BQBDbEd4G/9iz4uASiUSNCn+pVIJSqYTD4WBO7TBjV6rVKks3UnRGIsAmk4kpg+j1ekQiETx48ADBYBCFQgEOhwNjY2PI5XJMouc4U5D7Ybf3NpVKsRN1LpeDQqFANpuFRqNBb28vbty40ZDIcjNtPatoJXvPmq3VahXBYBA+nw+BQABKpRKDg4Pwer1MMP0s2UvI5XJMEDoYDKJcLsNiscButzNB6OM+tO6HZDLJHF4oFEIqlUImk2FiET/yIz/S8BiqZkVwBj5teBIQBOFXAfxKnV/9NVEUf4u/47QcXLFYrFHhp781m81wuVxwu91wOBwHpv6SogCfciRqrdFoZKNiHA4H3G43fD4f7ty5g6dPnyIWi6GjowMDAwPo7OzE6uoq5ubmWApycnISr7322qkI1gI739tQKITp6WlG6e7u7mbjQgwGA65du4ahoaEzYetZRyvZe5ZtTSQSLDVeLBbR3d2Na9eusSndZxXFYpHV8mdmZpggNLUfNEMQuhmgPtq1tTVEIhF83/d9X8Mkk2Y5uAyALwP4PQB/KorizuauU8RJOrh4PM4cGk/h52elHVSDLp1OY319nd02NjZYupHG1pN2I0Vb6XQaT548wb179+D3+1EqldDb24vh4WFsbW1hfn4eGxsb0Gq18Hq9eP3113Hu3LlTP82ZzWZsbGxgbm4O09PT2NzchE6nw/DwMABgdnYW5XIZ586dw8WLF09MTHc3W8/qJlwPrWRvK9haKBTg9/vh8/nYFJDx8XGMjY2dWJr8KDCbzcyJUCozm80yQWjSyGyU2NEsnKUa3N8E8CPYVjFJAfgTbDu7r4uiuFOC44RxnA4un88jFAoxp0YUfqvVyhxad3f3vg6ETzdSdEbpRrVazaIzotvyJ65qtYrV1VV88MEHePjwIeLxOOx2O/r6+qDX67G8vIzV1dVTTUHuBZqc/PjxYxQKBdhsNoyPj0On0+HevXvY2tqC2+3GjRs3Tnz2Vz20wibMo5XsbSVbSbLq7t27WF1dhUqlYhPej0tbshFI39tqtYr19XXm7HiRCHJ2xy1WvRfOjIMjCILQC+CvvLjdBLAF4I8A/J4oiv+lATsbQjMdHOm4kUOLRqOoVqvQarU1FP79+lJ4AVOK0CjdaDAYakbF8L0jPPL5PO7fv4/3338fS0tLqFarjDCSyWQgiuKZSUFKQU7Z5/NhdXUVBoMBPT09GB8fh16vx927d7G8vAyz2YybN2/C7XaftskMrbQJA61lbyvZCnxs7+bmJqanp1nWxOFwYGJiAn19fWcmfbnfe7uxscEYmUR6I8WS/v7+huthh8WZc3A8BEHox7aj+0UADlEUT35i3gs0w8EFAgGEQiH4/X4mOWO325lT2y8Pf9B0o91u3/fUFAwG8Z3vfAf3799HIpFgtTUAWF5eRjweh9FoxOjoKF5//XVMTEycegqSwKd3kskkDAYDBEHA1atXkc/n8fjxYzx79gwKhQKXLl06U7YTWnUTbgW0kq3ATnsLhQJmZ2cxPT2NZDIJk8nE2JfNGiNzVBzmveWnga+vrwMAE2n3eDyHalk6Ks6sgxMEYQTAj764nQewIori8XXe7oNmOLgvfelL0Gg0TN/R6XTumm+ndCPv0OqlG+nrQQq8xWIRt2/fxgcffIDFxUUAgNvthsViYWNw+BTku+++W1dx5bQQj8eZWDOdcMfHx+HxeNhon+985ztIp9MYGhrC5OTksc6EawStvgmfZbSSrcDe8+BWVlbg8/kQCoWgVqtZ+vKkIyHCUd/bTCaD5eVlrKysMD1Kg8HAIjupitJp28ujmdMEBrAdsf0ogMvYFlz+AwD/QRTFDxqyskE0w8FVq1W0t7fXfcNLpVJNqjESibDhoQdNN+6GQCCAb3/727h//z7S6TSMRiNcLhdKpRIbN18vBXkWNopKpYKVlRVMT08jFApBpVJheHgYgiAwan88Hsft27cZO/LmzZsNid+eBM7Ce3sYtJK9rWQrcHDimc/nw9zcHMrlMpxOJ7xeL/r6+o49CuLRjPc2n88jEAiwun6pVIJOp4Pb7YbH40Fvb2/TxhGdGQcnCMJtANcAbAD4Q2wTTL4tFV4+LTSbZJJOp5lg6G7pRorOjlKkLRQK+Oijj/Dhhx9icXGR6c7pdDpsbm4iHo9Dp9MxFmS9NN5pbhTZbBazs7MQRRHpdBpmsxmCIGBkZIRFvfl8Hg8ePIAoitDpdEwl5SQv+KPiZdyEzwpayVbgcPbmcjl2XaRSKZjNZoyPj2NkZORE0pfHMYooGAyy6I5mwfGC0I38X2fJwf0Wtp3afxFF8cypujbDwS0vL7Mx7tJ0I89wbKSfZGlpidXWstksk7KhCJEmFBML8riHBR4WkUgE09PTWFhYQKVSgcvlwvj4ONxuN3Nc1WoVMzMzePDgAfL5PARBwJUrV9DV1dUyG9vLvAmfNlrJVuBo9lJm4/nz5wiHw1Cr1RgZGYHX621YuWMvHPdQ4bW1NcbIzGQyUCqV6OnpYanMw46pOjMO7qyjGQ7uj/7oj6BSqdDe3n7kdGM9pNNpVlsLBAIAwMZMbG5uolAowGq14urVq4diQZ7URlEul7G4uMgktDQaDYaHh+terOFwGFNTU4jFYujp6cHNmzdZPaKVNrZWshVoLXtbyVagcXtjsRimp6cxPz+PcrkMl8sFr9d7LNmMk3pvq9UqotEoY2TSWBx+MslB2n1O1cEJgvB5AO+Loph48f2eEEXxT49mYuM47hrcYVGpVDA/P4/vfve7ePToEXK5HHQ6HfR6PQqFArLZLEtBvvbaa0dqxD7uxZxOpyGKImZmZpDL5dDR0YHx8XEMDw/viGLT6TTu3buH+fl5GI1GXLt2DYODgydqbzPRSrYCrWVvK9kKNM/eXC6HmZkZTE9PI5PJwGw2w+v1YmRkpGkqI6f13m5ubmJpaQnLy8tstqTVamWMzN16Bo/bwe1XKfwKgFcATL34fi9UAZwtrvch0YzTFA0S/d73vodgMAgAzLHl83kUCgX09/fj5s2bZ6oRmwc/FZlYm+Pj43Ujy3K5jOfPn+PRo0eoVCq4ePEiLl682LQitAwZLwv0ej0uXryI8+fPY2lpCc+fP8fU1BQePHjA0pdnQeTgKLBYLLBYLLh06RJSqRRLYz5+/BiPHj2C2WxGX18fPB4Puru7T6wOv98uNIhtQWX6XkYd0BTcDz/8kBWXlUolVCoVSqUScrkcrFYrXn/9ddy6devMNGLzKJVKTEKLCC7nzp2DIAi7kmgCgQCmpqaQSCTQ39+Pa9eutewFKkPGSYHEnAcHBxGNRuHz+SCKInw+H9xuN0tftipMJhMmJiYwMTGBXC7HnN309DSeP3+OtrY2Nv1gfHz8WG2Ra3ASHDRkJgXyR48e4c6dOwiHwyiXy6hWq6w3zWAwYGJiArdu3cLExETTo5pmhPeJRIKpMxQKBXR2dmJ8fBxDQ0O72ptIJDA1NYVAIID29nbcuHHjQCokrZSaaiVbgdayt5VsBU7G3kwmg5mZGYiiiGw2i46ODni9XgwPDx9Kk/Usv7eFQgGrq6tYXl5GIBBAsVjEu+++27Azb5hkIgiCAsC72E5XUgNTGMBHAL55FloFTsrBJRIJzMzMYGpqCgsLC9ja2kKpVGItBHq9nqUgb9y4cawpyKMuZpLQmp6eZuNBPB4PxsfH9+xPKxaLTIVEpVLh8uXL8Hq9BybhnOWLT4pWshVoLXtbyVbgZO0lQpfP50M0GoVWq8Xo6CjGx8cP1I7UKu9tuVxGJBKBx+NhqlFHRSM1OAiCcAXAfwAwDKAMIApAAcD24u9nBEH4MVEUHzZk5RlGsVjE0tISnj59iidPnmBtbQ25XI59MDqdDt3d3YdmQZ40pBJabW1tuHTpEgRB2JfeOz8/j7t37yKTyWBkZARXr149NCVYhgwZe4OEEoaHh7G+vg6fzwefz4dnz56hv78fXq8XTqfztM1sGCqVCj09PdBqtQ07uL2wp4MTBMEB4OvYrsN9HsCfi6JYePE7HYC3AfwGgK8LgnBBFMX1Y7P0FBAOhzE7O8uGiEajUWQyGZRKJWi1WlitVpw7d+7YUpDNQjwehyiKTCS2u7sbV65cwcDAwL7RVywWw9TUFMLhMGw2Gz71qU81PL9JhgwZ+4NalXg28/LyMqxWK7xe755lBBnb2O/d+VsAsgDeEEUxwf/ixTy4rwmC8BGAhwD+JoB/eBxGniRo1trz588xNzeHUCiERCKBdDoNpVKJ9vZ2DA0N4dVXX8X169fPJAsSqC+hRVOKDzIdO5fLMRUSvV6PW7duYXR0tCVUSGTIeJlgNBpx9epVXLp0CQsLC3j+/Dk+/PBD3Lt3D2NjYxAE4czuQ6eN/RzcZwD8C6lz4yGK4qYgCP8HgB9Gizu4999/nzVkhsNhJJNJ5PN5GI1GDA8P49q1a2eWBUmQSgWZTCZMTk5idHT0QIMaK5UKRFHEgwcPUCwW4fV6ceXKlTMxDViGjE8yVCoVRkZGMDIygnA4DJ/Ph6dPn+Lp06csfXmas93OIvZzcCMA7h/gee4B+OXGzTldfPDBB3j69Ck2Nzeh0WjQ1dWFq1evnvkUJABEo1EmoUVir8RuPCgJJBQKYWpqCvF4nP39aamiy5AhY3c4HA44HA6kUimWvlxaWsKTJ08wMDCAoaGhMzeC6jSw347dge2BpvshCaDlG6BmZ2ehUChw48YNvP7662c6BQl8rJbi8/kQiUSgVqsZ48pisRz4eVKpFO7evYvFxUWYTCa89dZb8HhObfKRDBkyDgjK0Fy6dAnz8/NYXFzEBx98UJO+PKsjqU4C+zk4BbYVSg6Cli/O/PIv/zK6u7uPVQy1GUin06zgHI/HWS/aYSV/yuUyY4ZWq1VcvnwZ58+fP9ORqgwZMnZCrVZjbGwMk5OTmJmZgc/nw+PHj/H06VN4PB54vd5PJDnsIDvZ1wVBKDXhec48RkdHz3QfCeXdl5eXUalUIAgCrl27ht7e3kOTP5aXl3Hnzh0kk0l4PB5cu3ZNzt/LkPESwOl0wul0IpFIQBRFzM7OYmFhAV1dXfB6vRgYGPjEpC/3c0y/diJWyNgVpVIJ8/PzmJ6exsbGBhNoFgQBLpfr0M54a2sLU1NTWF1dhcViwWc+8xn09vYek/UyZMg4LbS3t+P69eu4fPky5ubm4PP58N577+Hu3bsQBAFjY2MvfS/rng5OFEXZwZ0Skskkk9DK5/OwWq24devWkXtfCoUCHj16BJ/PB7VajRs3bmB8fPxYxtDLkCHj7ECj0WB8fByCICAYDMLn8+Hhw4d4/Pgxax3q6uo6bTOPBS9FavFlAelbTk9PY2VlBQqFguXP95LQ2u855+bmcO/ePWSzWYyOjuLq1atoa2trsvUyZMg4y1AoFHC5XHC5XEgkEvD5fPD7/Zibm0N3dze8Xi88Hs9LdeiVHdwZAEloTU9PI5FIMAmtsbGxhhhQ0WgUt2/fRiQSgd1uxzvvvPPSntRkyJBxcLS3///bO/P4qKtrgX8DyGoABSpCCESQk0RQIALyWCpWWruqrWv3zS7a2ta29vXpa7XVttrWaq128bW1q7b2aZ+1LiCWVmhJBCIuJAcpiwKCsi+RJSTvj3Mn/hgmmZlklmQ4388nn+T3+90798yZyT33nnvvOf2ZOnUqEydObOl7/v73v9O3b1/Ky8sZO3ZsSudmOztu4PLIjh07qK+v59///jcHDx5kyJAhzJo1i5EjR3ZoEfi1116jtraWlStX0qdPH2bMmMHo0aM9ConjOIfRs2dPKisrqaioYMOGDdTV1bFs2TKWL19OWVkZlZWVrSYr7Qp0WgMnIsdjm1zmACOxIM8PAdeq6tZ8ytYRmpqaWL9+PXV1dYeF0CovL+/w7KqpqYn6+nqefvppGhsbOeWUUzjttNM8ConjOG1SVFRESUkJJSUl7Ny5s8V9uWrVKk444QQqKiooLS3tcu7LTmvggGHAcOBqYEX4+07gHiyEWJeioyG0krFx40ZqamrYsWMHw4cPZ8qUKZ3+PJ/jOJ2PAQMGcMYZZzBp0iReeOEF6uvrWbBgAcceeywikrE+Kxd0qYSnIvI2bBY3MD4+Zq4TnqbK1q1bW+JbxkJolZeXM2LEiA6PhoqLi9m4cSNLlixh3bp1FBcXM3nyZEpLSzMkfWbpzGcM4+lKskLXkrcryQpdS95syNrc3MxLL710mNdp9OjRVFRUdDiUXybk7VA+uE5Gf2A/0JBvQdqiqamJtWvXUl9fzyuvvNLuEFpt0djYyNKlS6murqaoqIiJEycybty4o+YAp+M4uaGoqIjS0lJKS0vZvn07dXV1rF69mpUrV3LiiSdSUVHBiBEjOuUaf5eZwYnIQOAp4BFVvTL++f79+5sz0bl3796dQ4cOtatuQ0MDdXV11NfX09DQQP/+/amsrEREMroOtmbNGhYvXkxDQwNlZWVZzxyeKTqi21zTlWSFriVvV5IVupa8uZJ13759qCorVqxgz549FBcXt/R1vXr1Svl1MiFvjx49WrWsOTdwInIDcE2SYrNVdUGkTj/gUSyj+Dmqui++Qj5dlJs3b6a+vp5169bR1NRESUkJ5eXlDB8+PKOjmh07dlBdXc3LL7/Mcccdx1lnndWlwmsd7a6ebNKV5O1KskLXkjfXssbyTtbV1bFp0yZ69OjBmDFjqKioSGkPQCG6KG8FfpukzIuxP0TkWODhcPmORMYtHzQ2NrJmzRrq6urYtm0bPXv2bAmh1b9/ZhMrHDhwgNraWurr6+nZsydTp05FRBgwYECX+cdzHKfw6NatGyNHjmTkyJEt+w1iG1OGDx9ORUVFxgf66ZBzA6eqW7At/0kRkWLgESxTwTmquiebsqXC7t27WwKYxkJoTZs2jdGjR2c8Cn9zczMvvPACy5YtY9++fZSXlzNhwoQus4PJcZyjh0GDBjF9+vSWjAb19fU8/vjjFBcXU1FRkXa2k0zQaTeZBOM2F9tYch7QL7gqAbap6oFcyrNhw4YjQmiVl5czdOjQrLT36quvUl1dzZYtWzjhhBOYM2cOgwYNykpbjuM4maJ3796ceuqpjBs3jnXr1lFXV0dNTQ21tbUt7stMe7lao9MaOKAKOCP8vTLu2WxgQbYFOHjwYEsYm507d7Z8cNlMItjQ0MCyZctYtWoVffv2ZdasWZx00klZactxHCdbdOvWjbKyMsrKytiyZQt1dXWoKnV1dZSUlLQs6WSTTmvgwiaTvDhuYyf5oyG0Zs6cmdU8Sk1NTS1Rvg8dOsT48eM59dRTOeaYY7LSnuM4Tq4YPHgwM2fOpKqqqiXgxbx58ygqKspquq5Oa+Dywcsvv8zChQtZtWoV3bp146STTkJEGDJkSFbb3bBhAzU1NezcuZOSkhKmTJmSsym84zhOrujbty+nnXYa48ePZ+PGjZSWltLYmCyfdvtxAxdh0aJF9OrVi0mTJnHyySdnPaXMrl27eOqpp3jppZfo378/Z599NiUlJVlt03EcJ99069aNkpIS+vTpk9Wd4G7gIpx33nkMGDCAvXv3ZrWdxsZGnnnmGZ5//nmKioqoqqqisrLSo5A4juNkEDdwEXr06JH1aNlr1qxhyZIl7N27l9GjR1NVVVXwaeMdx3HygRu4HLF9+3aqq6vZtGkTgwYNYtasWe3O0u04juMkxw1cltm/fz+1tbWoKr169WLatGmMHTu2UwYmdRzHKSTcwGWJ5uZmVq5cSW1tLfv372+JQpJOIFLHcRyn/biBywKbN2+murqabdu2MXToUKZOndrhvEmO4zhOeriByyB79+5l6dKlrF69mn79+nHmmWcyatSofIvlOI5zVOIGLgMcOnSIFStWsHz5cpqbm1sOMmY6+LLjOI6TOt4Dd5D169dTXV3N7t27KS0t5fTTT/coJI7jOJ0AN3DtZNeuXdTU1LB+/XoGDBjAnDlzGD58eL7FchzHcQJu4NLk4MGDLVFIunfvzuTJk6moqMj6AXHHcRwnPdzApcHq1atZsmQJDQ0NjBkzhkmTJnkUEsdxnE6KG7gU2Lp1KzU1NWzevJnBgwcze/bsrGcYcBzHcTqGG7g22LdvX0sUkt69ezN9+nTGjBnjUUgcx3G6AG7gEtDU1ISqUltby8GDB6msrGTChAn07Nkz36I5juM4KeIGLo6NGzfyxBNPsH37doYNG8aUKVMYOHBgvsVyHMdx0sQNXITFixezdu1aevTowezZsxk5cmS+RXIcx3HaiRu4CI2NjVRVVVFWVuZRSBzHcbo43otHmDFjBsXFxVlNoe44juPkBj+d7DiO4xQkbuAcx3GcgsQNnOM4jlOQuIFzHMdxChI3cI7jOE5B4gbOcRzHKUjcwDmO4zgFiRs4x3EcpyApam5uzrcMjuM4jpNxfAbnOI7jFCRu4BzHcZyCxA2c4ziOU5C4gXMcx3EKkqM2m4CIHA9cD8wBRgJbgIeAa1V1a5K67wG+CYwG/g1co6oPZFdiEJFPAJcCE4EBQJmqrk1S58PALxM86qOq+zItY6TdtGUN9fKl217A9zCZ+wDzgctVdX0bdT5MjnQrIpcDXwZOBJ4HPq+qT7ZRfjzwI2AKsA34KfBNVc36rrJ0ZBWRUcCaBI/eqqqPZk1Ia3sW8CWgChgGfERV705SJ596TUvePOv2q8C7AQH2A4uBr6rqc0nqZVS/R/MMbhgwHLgaGA+8H5gF3NNWJRGZBvwB+B0wIfy+T0SmZlPYQF9gLnBdmvUasM6m5Sebxi2Qtqx51u2twHswAzcT6A88JCLdk9TLum5F5GLgNuBb2IDhn8AjIlLaSvn+wDxgMzAZuBIzOFdlUq5MyBrhHA7X4xPZlDNwLPAc8DngtWSF86nXQFryRsiHbs8E7gT+AzgLaAQeDxOLhGRDv0ftDC6MJN4dubVKRL6MdWr9VXVXK1U/D/xNVW8M1zeKyOxw/9JsyQugqrcCiMjpaVZtVtVNmZeoddop6+fJg25FZADwMWxEPC/c+wCwDjgbeKyN6rnQ7VXA3ap6V7j+rIicA3wa+GqC8u/DBhgfUtXXgOdEpAK4SkRuyfJsI11ZY2zNw3f0YeBhABG5O4Uq+dRre+SNkQ/dviV6Hf6fdgLTgb+0Ui3j+j2aZ3CJ6I9NpxvaKDMNm5lEeQwbqXRW+ojIOhFZLyIPicjEfAvUCvnSbRVwTLRtVX0JqEuh7azqVkR6Bvni9TK3DdmmAU+GTiLGY5jXYlQm5YvSTllj3C8ir4jIIhG5ICsCdpy86DUDdAbdFmP2ZnsbZTKuXzdwAREZiK393KWqjW0UHYpNoaNsDvc7Iwp8FDgXmwXtAxaJyMl5lSox+dLtUOAQtg6bTtu50O1goDvp6aU1PcaeZYv2yLoHW1e6CHgbtvb5BxF5f7aE7AD50mt76Uy6vQ14GvhXG2Uyrt+Cc1GKyA3ANUmKzVbVBZE6/bBp8wZsTS4Z8VPlogT3UqI98qaDqv6LyJdKRP6JfdE+i/m4UybbsgZyrts2nrXZdiZ1mwLp6iVR+UT3s0HKsqrqFuD7kVtLRGQw9n/42+yI1yHyqde06Cy6FZFbgBnADFU9lKR4RvVbcAYO2yyQ7MN7MfaHiBxL8GsD70hhg8AmjhxNvIEjRx6pcitpyNtRVPWQiCwB2jPLuJXsypov3Z6BzTwGA6/Gtf2PVBvroG5bYws2u0xHL63pkTbqZIL2yJqIauAjmRIqg+RLr5kkp7oVkR8Al2AD39VJimdcvwVn4MKoJd7VlBARKQYewUYJ56jqnhSq/Qs7WvDdyL052G6xtElH3kwgIkXAqcDydOvmQNa86FZElgIHQ1u/D/dKgIp02u6IbltDVQ8E+eYA90UezQH+t5Vq/wJuEpHekQHbHGAjsDZTsmVI1kRMAF7OoGiZIi96zTATyJFuReQ2zLidqar1KVTJuH4LzsClSjBuc7GNJecB/YKrEmCbqh4I5eYDNaoa2wF2G/CPcM7jAeB8zM01IwcyD8VGOGPDrcqwdviiqm5LJK+IfB07g/IC9l6vxDrhT3c2WcmTblV1p4j8HPiuiLwCbAVuAZ4BHo+8p3zp9hbgNyJSAywCPoUtvP8kyPFtYIqqvimU/z3wdeDu4KYdC/wncH0OzmulJauIfAgbXNQCTcA7gSuAr2RZzpj3Zky47AaUisgE7P//xU6m17TlzbNu7wA+gPWt20N/ALAnNpHIhX6P5k0mVZhrqhJYiY1qYj/RHV+jsbMjAKjqP7FRyYewDvCDwMWqWp0DmT+FfVl/F67/Gq7f1Zq8wEDgZ9iOwLnY2b9ZqlrT2WTNs26/ANyPncNbhC3QvzNuzSAvulXVP2BHJa7F1vhmAG9T1XWhyIlBtlj5ndjIdxiwBLgDW4u5JZNyZULWwLVBzqewz/+jqvqDbMsKnI59J2uxw/3Xh7+/kUjWfOq1PfIG8qXby7Gdk/M5vG/9UqRM1vXr6XIcx3GcguRonsE5juM4BYwbOMdxHKcgcQPnOI7jFCRu4BzHcZyCxA2c4ziOU5C4gXMcx3EKEjdwTrsRketEpFlEXmjl+arw/LoMtbcl+loiskBE/pSJ105TjrLwvl4M0Uty3f7a0P4RcTZFZGZ41iyW8DKbclwnIjmLwpMOInK7iCRKRtta+U+IyHkplv2MiDRHrk8Xka0h7ZLTiXAD53SUfUBZfN43EZmMZUrPZmLVy2k7x1i2iOWmG4Hlt8oHe0icI++S8CwX/A/wlqSlcoyIjAA+DtyURrVPYFE30kZVl2CH2r/QnvpO9nAD53SUvViG4Evi7l8S7u/NVsOqukJVE84es8ylWIiuvWQ5yW0bPISFPxsXuyGWffwC4MFMNCAix0iCjOax+6q6XlWXZqKtDPMpYFmK8Q8zxS+BT4nIURv+sDPiH4aTCe4FrhORL6tqc3DbXQR8DQuJdhgiMgO4EUtL/xoWIusqVd0dKTMLuB0Q4HksBU386ywAtqjqBeG6HLgOm1UNAtYAdwE/VNWmUOZM4G9YjMsrgLcCrwDfU9U7k71RETkFGAd8EjgTuFBEPhefQ1BEPoPF/DsemBfey+NE0gmJSDcsdcnHsdngOuBGVf1VMjmw1E4LsYHEteHeWcCxmIF7b5w8Xwxlx2Kz6hrgC6q6KlJmARacem6QfRQwSkR+08r9jwGfUdXBoX4/bNY0J7yfzVimjq+q6q5IO8cBP8ZiI+7EYpAOAS5Q1VGRcqXAzcCbgd7Ak8CVqqpJdPNB4sI7hc/t+8AUoBeWReJHqnpHeN9VQFWI3wiW3f1uEekV6r0fi+f4KxJnzHgQ+AU2o/1rEvmcHOEzOCcT3A+cwOtBkWdiHdYD8QVFZDoWn24TNtv4PJaM8ZeRMsOwLA/bQpmfYjEt+yaRYziWhPTy8Jp3YfH6EgWXvQuL+n8+sAC4Q0SmJHl9MMPRiEXHvye8zzdFC4jI+ZhBezC8/jPAzxO81u2YcfoZ8HZMX78QkXekIAeh/ejM+VIsr2GiWXMJ8CMsOetlWHqgRQnWjaZjwaK/wusGqK37UfqG170GGzj8N2Z074srdzdmBD+HuQbfDFwcLSAix2MGXLAZ2UVAP+BxEemToO1YPQnvNT4LxINYKp/3Y/FQb8diJYJ9X+oxYzwt/MSM1HewAcg3gfdhbvcvxrcbDPjzwNmtyebkHp/BOR1GVXeIyKNYZ/tk+P1ouB9f/DvAP1W1pUMTkQ3AfBEZp6rPYUZvH/B2VW0IZfaSJLebqs7HjGcsdc1CrNO9DPh2XPF7VPWGUHYB1mm/G5vZtMUlwDxV3SoijwHbMcPyWKTMfwEPq+oV4XquWKLJliwDIjImXH8kMmN7XEROxCKqP5REDoA/AT8M650xY50w15eqtqwPBbfjPGzmei7w60jRgcBEVd0UKd/W/Wgbr8a9xx7YLHqhiJSGiPfjMANzkareF8rNB17i8LXDL2AGbUIk+8QiLG3KR7FAvImIeQyei8gxGDgJOE9Vnw2350fkXhG+X6+q6uJIvUGYcf26qn4/3HsMWNFK28uxGaLTSfAZnJMp7gUuCC6dC8L1YYhIX2x0/EcR6RH7wQzRQV7vnKZgRqQhUv3+ZAKISG8RuV5EVgH7w2veiG2CiR/MzY39oaoHsZQ3JUlefyrWUd4b6h0Icp0vIr1Dme5Yzq34dbD46zdhLq8H4nQxH5iQaO0rnmBQYuuf52B5DR9pRfYzRGSeiGzFZqANmDtzbFzRpVEjlsL9+HY+ICK1IrIH0//C8CjWTmwz0l8i7+M1ImmJAmdjRnhXRDe7gaWR10jEUGCfqkZnsdswA/oTEblYRN6QuOoRjMdco/8XkbUpeh3HFo5M2OnkETdwTqZ4EOswb8RG3n9JUOY4zIV1J9b5xX72A8dg6zZgncQr0YqhE0y2O/AmLB3HzzAX5WTghvCsd1zZHXHXBxKUiefSIO8CERkolt/ur1guuLeFMkMwz8ircXXjrwdjutjJ4bq4O9Q/kdS4F3PfvRf4s6rujy8Q1rLmYgbwk5i7cTKm4/j33Frm5KQZlYNr9tdY4soLsXRU54fHsXaGArsjCS1jJNLPxRyum4PY2ukIWqc39n1qIRilN2Nu8V8Am0TkSRGZmOQtxYzVK3H3469j7Cf5d8jJIe6idDKCqu4VkYcw19J9cSPoGDuAZmwjyMMJnm8Mvzfxeqp6AMK6y7FJxLgQuF1Vb47Ue3sq8icjbAi5CDPE6xIUuRSbzb2KzZCGxD2Pv94Wyk3HZnLxtNaJxnM/lkz0QmwdLxHnYK7ac2OfS5gRHZ+gbGv5s1LJq3UhUK2ql8duiMgb48psAorl8KzNkFg/D2JrX/HsTnAvWq+/iHSLbSwCCDsq3yMix2BrxDcBfxWRkmi5BLKCfRe3Re63NgMcGFfOyTNu4JxM8mNsh9pPEj0MRnAxIKr6jURlAk8BHxWRvhE35btTaL8PkdF7cPPFH19oL2dis6qvcOQ63UeAi0SkWFV3i8jT2NrWTyNl3hVX5wlsBjdAVee1V6iQjfwmoJwj3Xwx+mBGNLrT8yIy//9/mP4D74u7XhJ+vwv4I7QMXuZwuOGaH2R8PszeU0WxmepIbP3v8Ifmjn5CRG7BMkgPxIxSohn8s9ha8LnYJpTYQOfcVtoehSVPdjoJbuCcjBG2vy9IUuxqbENJE7ZJYjdQis0+rlHVlcCt2Bb+h0JHNAw70J2so5sHXBHW4LaF1+jVnveSgEuxGeht8W5AEdmFbU0/D/gN8C3gfhH5ETYLmc7rs6smAFVVEfkJcK+I3Ix1/L2BU4CxqvrxVAVT1a8lKRIzpr8UkZ+HNr7EkW7ajjIP2416DVCNuW0P22Gqqs+JyF+AH4tIMTZLugpbE4zOpG7Bdjw+ISK3Y8ciTgDeCCxU1XtakaEGM+RVBAMnIqcC38Oyta/GXOVfAZbHNrBgBuwtIvIWYCuwJmwk+hlwvYg0YrskL6N1T8LppHe43Mkyvgbn5BRVXQjMwlxSv8HW6q7GNgFsDmU2YJ3jYGw7/uVYZ9eQ4CWjfBbbxXkHttbyHEfunkyb4NZ6D+Z6PWKNS1WXYTvr3huuHwCuxAzen7H1ri+F4rsiVa/AXHAfxFy2d2OG8B8dlTlOvmexWeZUbHfmezF3YqKt/h3hp9iZsc9hrtORxJ3HC3wYm23+EPuc/g48SkQ3qroFW8OrB36ArSHeDAzAjl0kJLhgH8OOKcTYhH23rsE24dwJ1HH4rPqGcO+PmAfhneH+1UHGr2HHMjYSd8YOIKznDSGFzVBO7ihqbk7Fte44TkcQkWuxDvb4NF1uBU9YD3wOW7/7ULLyKbze+VgYsWGJBiTZQES+DUxWVT8H14lwF6XjZBgRGYK5VP+GzTpnYi6xn7txAxG5EHM7P4vtQL0MOBmbyWaCP2MH/D+AGbqsEiK4XIYdj3E6EW7gHCfzHMA2fXwQc6m9jIWj+u98CtWJ2Iu5TMdga4PPAu9U1WSH7FMihIv7BBYFJReUAt+IhWBzOg/uonQcx3EKEt9k4jiO4xQkbuAcx3GcgsQNnOM4jlOQuIFzHMdxChI3cI7jOE5B4gbOcRzHKUj+HzYIZ8uSmrxwAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -449,16 +523,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(4, 1000)"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "m_5_1_trace.posterior[\"bA\"].shape\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -478,9 +563,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Now I need to take average of mu and plot\n",
     "# I should get 30 averages, one for each x\n",
@@ -502,9 +600,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [a, bM, sigma]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "with pm.Model() as m_5_2:\n",
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
@@ -521,9 +678,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "az.plot_trace(m_5_2_trace, var_names=[\"bM\", \"a\"]);"
    ]
@@ -563,9 +733,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\mason\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\IPython\\core\\pylabtools.py:151: UserWarning: There are no gridspecs with layoutgrids. Possibly did not call parent GridSpec with the \"figure\" keyword\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 153.071x96.378 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "dag5_1 = CausalGraphicalModel(nodes=[\"A\", \"D\", \"M\"], edges=[(\"A\", \"D\"), (\"A\", \"M\"), (\"M\", \"D\")])\n",
     "pgm = daft.PGM()\n",
@@ -601,9 +790,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 153.071x96.378 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Note - There is no explicit code section for drawing the second DAG\n",
     "# but the figure appears in the book and hence drawing it as well\n",
@@ -627,9 +827,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "P(A)P(D|A)P(M|A)\n"
+     ]
+    }
+   ],
    "source": [
     "print(dag5_2.get_distribution())"
    ]
@@ -643,18 +851,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('D', 'M', {'A'})]"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "dag5_2.get_all_independence_relationships()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('D', 'M', {'A'})\n"
+     ]
+    }
+   ],
    "source": [
     "DMA_dag2 = CausalGraphicalModel(nodes=[\"A\", \"D\", \"M\"], edges=[(\"A\", \"D\"), (\"A\", \"M\")])\n",
     "all_independencies = DMA_dag2.get_all_independence_relationships()\n",
@@ -683,7 +910,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -714,9 +941,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [a, bA, bM, sigma]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:06<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "with pm.Model() as m_5_3:\n",
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
@@ -735,14 +1021,118 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "az.summary(m_5_3_trace, var_names=[\"a\", \"bM\", \"bA\", \"sigma\"])"
-   ]
-  },
-  {
+   "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>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.100</td>\n",
+       "      <td>-0.191</td>\n",
+       "      <td>0.179</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3630.0</td>\n",
+       "      <td>2543.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bM</th>\n",
+       "      <td>-0.059</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>-0.349</td>\n",
+       "      <td>0.246</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2214.0</td>\n",
+       "      <td>2620.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bA</th>\n",
+       "      <td>-0.605</td>\n",
+       "      <td>0.156</td>\n",
+       "      <td>-0.906</td>\n",
+       "      <td>-0.327</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>2176.0</td>\n",
+       "      <td>2317.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>0.825</td>\n",
+       "      <td>0.085</td>\n",
+       "      <td>0.678</td>\n",
+       "      <td>0.995</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>2331.0</td>\n",
+       "      <td>1645.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "a      0.001  0.100  -0.191    0.179      0.002    0.002    3630.0    2543.0   \n",
+       "bM    -0.059  0.158  -0.349    0.246      0.003    0.002    2214.0    2620.0   \n",
+       "bA    -0.605  0.156  -0.906   -0.327      0.003    0.002    2176.0    2317.0   \n",
+       "sigma  0.825  0.085   0.678    0.995      0.002    0.001    2331.0    1645.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "a        1.0  \n",
+       "bM       1.0  \n",
+       "bA       1.0  \n",
+       "sigma    1.0  "
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(m_5_3_trace, var_names=[\"a\", \"bM\", \"bA\", \"sigma\"])"
+   ]
+  },
+  {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -751,9 +1141,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 26,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x676.8 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "az.plot_forest(\n",
     "    [\n",
@@ -776,7 +1179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -795,9 +1198,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [a, bAM, sigma]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "with pm.Model() as m_5_4:\n",
     "    a = pm.Normal(\"a\", 0, 0.2)\n",
@@ -822,7 +1284,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -840,9 +1302,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "with m_5_3:\n",
     "    m_5_3_ppc = pm.sample_posterior_predictive(\n",
@@ -866,9 +1370,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(6, 6))\n",
     "plt.errorbar(\n",
@@ -909,9 +1426,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 993.6x662.4 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "N = 100\n",
     "x_real = stats.norm.rvs(size=N)\n",
@@ -930,9 +1460,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, bA, bM, a, sigma_m, bAM, aM]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:09<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 25 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "data[\"Divorce_std\"] = standardize(data[\"Divorce\"])\n",
     "data[\"Marriage_std\"] = standardize(data[\"Marriage\"])\n",
@@ -948,15 +1537,15 @@
     "    bA = pm.Normal(\"bA\", 0, 0.5)\n",
     "    bM = pm.Normal(\"bM\", 0, 0.5)\n",
     "\n",
-    "    a = pm.Normal(\"a\", 0, 0.01)\n",
+    "    a = pm.Normal(\"a\", 0, 0.2)\n",
     "    mu = pm.Deterministic(\"mu\", a + bA * age_shared + bM * marriage_shared)\n",
     "    divorce = pm.Normal(\"divorce\", mu, sigma, observed=data[\"Divorce_std\"].values)\n",
     "\n",
     "    # A -> M\n",
     "    sigma_M = pm.Exponential(\"sigma_m\", 1)\n",
     "    bAM = pm.Normal(\"bAM\", 0, 0.5)\n",
-    "    aM = pm.Normal(\"aM\", 0, 0.01)\n",
-    "    mu_M = pm.Deterministic(\"mu_m\", aM + bAM * marriage_shared)\n",
+    "    aM = pm.Normal(\"aM\", 0, 0.2)\n",
+    "    mu_M = pm.Deterministic(\"mu_m\", aM + bAM * age_shared)\n",
     "    marriage = pm.Normal(\"marriage\", mu_M, sigma_M, observed=data[\"Marriage_std\"].values)\n",
     "\n",
     "    m5_3_A_trace = pm.sample()"
@@ -971,9 +1560,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 35,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(50,)"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# We're setting this to 50 to match the shape of our input\n",
     "A_seq = np.linspace(-2, 2, 50)\n",
@@ -989,9 +1589,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# With PyMC we have to simulate in each model separately\n",
     "\n",
@@ -1011,14 +1653,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "_, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
-    "az.plot_hdi(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"], ax=ax[0])\n",
-    "ax[0].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"].mean(dim=['chain','draw']))\n",
-    "ax[0].set_title(\"Total counterfactual effect of A on D\")\n",
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
+    "az.plot_hdi(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"], ax=ax[0])\n",
+    "ax[0].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"].mean(dim=['chain','draw']))\n",
+    "ax[0].set_title(\"Total counterfactual effect of A on D\")\n",
     "ax[0].set_xlabel(\"manipulated A\")\n",
     "ax[0].set_ylabel(\"counterfactual D\")\n",
     "\n",
@@ -1039,9 +1694,417 @@
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+       "\n",
+       ".xr-attrs dt {\n",
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+       "  grid-column: 1;\n",
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+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
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+       ".xr-attrs dd {\n",
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+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;divorce&#x27; ()&gt;\n",
+       "array(0.04078092)</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'divorce'</div></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-63ccf3fb-da5f-4112-bbd3-fa96055680e8' class='xr-array-in' type='checkbox' checked><label for='section-63ccf3fb-da5f-4112-bbd3-fa96055680e8' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.04078</span></div><div class='xr-array-data'><pre>array(0.04078092)</pre></div></div></li><li class='xr-section-item'><input id='section-41a5e48f-51c3-47d7-8de0-77f63b5cd7b9' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-41a5e48f-51c3-47d7-8de0-77f63b5cd7b9' class='xr-section-summary'  title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-7c847a03-6fc4-4368-afbf-7e64464eec72' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-7c847a03-6fc4-4368-afbf-7e64464eec72' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray 'divorce' ()>\n",
+       "array(0.04078092)"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# We're setting this to 50 to match the shape of our input\n",
     "A_seq = (np.linspace(20, 30, 50) - 26.1) / 1.24\n",
@@ -1064,9 +2127,51 @@
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-   "execution_count": null,
+   "execution_count": 41,
    "metadata": {},
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+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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    "source": [
     "# Set values for marriage counterfactual\n",
     "marriage_counter_factual_x = np.linspace(-2, 2, 50)\n",
@@ -1081,9 +2186,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {},
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -1103,7 +2221,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1119,9 +2237,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Get the samples from Age Marriage model first\n",
     "with m5_3_A:\n",
@@ -1132,9 +2292,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(4000, 30)"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "marriage_mu_counterfactual = np.outer(m5_3_M_marriage.posterior_predictive[\"aM\"] + m5_3_M_marriage.posterior_predictive[\"bAM\"], A_seq)\n",
     "marriage_mu_counterfactual.shape"
@@ -1142,9 +2313,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 46,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(30, 4000)"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "mu = marriage_mu_counterfactual.T\n",
     "sigma = az.extract_dataset(m5_3_M_marriage.posterior_predictive[\"sigma_m\"]).to_array()\n",
@@ -1161,9 +2343,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "with m5_3_A:\n",
     "    m5_3_M_divorce = pm.sample_posterior_predictive(\n",
@@ -1173,7 +2397,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1198,24 +2422,136 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "d = pd.read_csv(os.path.join(\"Data\", \"milk.csv\"), delimiter=\";\")\n",
-    "d.head()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### 5.29"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 49,
+   "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>clade</th>\n",
+       "      <th>species</th>\n",
+       "      <th>kcal.per.g</th>\n",
+       "      <th>perc.fat</th>\n",
+       "      <th>perc.protein</th>\n",
+       "      <th>perc.lactose</th>\n",
+       "      <th>mass</th>\n",
+       "      <th>neocortex.perc</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Eulemur fulvus</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>16.60</td>\n",
+       "      <td>15.42</td>\n",
+       "      <td>67.98</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>55.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E macaco</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>19.27</td>\n",
+       "      <td>16.91</td>\n",
+       "      <td>63.82</td>\n",
+       "      <td>2.09</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E mongoz</td>\n",
+       "      <td>0.46</td>\n",
+       "      <td>14.11</td>\n",
+       "      <td>16.85</td>\n",
+       "      <td>69.04</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E rubriventer</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>14.91</td>\n",
+       "      <td>13.18</td>\n",
+       "      <td>71.91</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Lemur catta</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>27.28</td>\n",
+       "      <td>19.50</td>\n",
+       "      <td>53.22</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n",
+       "0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n",
+       "1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n",
+       "2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n",
+       "3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n",
+       "4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n",
+       "\n",
+       "   perc.lactose  mass  neocortex.perc  \n",
+       "0         67.98  1.95           55.16  \n",
+       "1         63.82  2.09             NaN  \n",
+       "2         69.04  2.51             NaN  \n",
+       "3         71.91  1.62             NaN  \n",
+       "4         53.22  2.19             NaN  "
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d = pd.read_csv(os.path.join(\"Data\", \"milk.csv\"), delimiter=\";\")\n",
+    "d.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### 5.29"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1233,9 +2569,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n"
+     ]
+    },
+    {
+     "ename": "SamplingError",
+     "evalue": "Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(-0.99934241), 'bN': array(-0.92004079), 'a': array(-0.64712419)}\n\nInitial evaluation results:\n{'sigma': -1.37, 'bN': -1.34, 'a': -1.13, 'K': nan}",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mSamplingError\u001b[0m                             Traceback (most recent call last)",
+      "Input \u001b[1;32mIn [51]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      6\u001b[0m mu \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mDeterministic(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmu\u001b[39m\u001b[38;5;124m\"\u001b[39m, a \u001b[38;5;241m+\u001b[39m bN \u001b[38;5;241m*\u001b[39m d[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mN\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[0;32m      8\u001b[0m K \u001b[38;5;241m=\u001b[39m pm\u001b[38;5;241m.\u001b[39mNormal(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m, mu, sigma, observed\u001b[38;5;241m=\u001b[39md[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mK\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues)\n\u001b[1;32m---> 10\u001b[0m m5_5_draft_trace \u001b[38;5;241m=\u001b[39m \u001b[43mpm\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msample\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\sampling.py:558\u001b[0m, in \u001b[0;36msample\u001b[1;34m(draws, step, init, n_init, initvals, trace, chain_idx, chains, cores, tune, progressbar, model, random_seed, discard_tuned_samples, compute_convergence_checks, callback, jitter_max_retries, return_inferencedata, idata_kwargs, mp_ctx, **kwargs)\u001b[0m\n\u001b[0;32m    556\u001b[0m \u001b[38;5;66;03m# One final check that shapes and logps at the starting points are okay.\u001b[39;00m\n\u001b[0;32m    557\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ip \u001b[38;5;129;01min\u001b[39;00m initial_points:\n\u001b[1;32m--> 558\u001b[0m     \u001b[43mmodel\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcheck_start_vals\u001b[49m\u001b[43m(\u001b[49m\u001b[43mip\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    559\u001b[0m     _check_start_shape(model, ip)\n\u001b[0;32m    561\u001b[0m sample_args \u001b[38;5;241m=\u001b[39m {\n\u001b[0;32m    562\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdraws\u001b[39m\u001b[38;5;124m\"\u001b[39m: draws,\n\u001b[0;32m    563\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstep\u001b[39m\u001b[38;5;124m\"\u001b[39m: step,\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    573\u001b[0m     \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdiscard_tuned_samples\u001b[39m\u001b[38;5;124m\"\u001b[39m: discard_tuned_samples,\n\u001b[0;32m    574\u001b[0m }\n",
+      "File \u001b[1;32m~\\AppData\\Local\\Continuum\\anaconda3\\envs\\stat-rethink2-pymc\\lib\\site-packages\\pymc\\model.py:1725\u001b[0m, in \u001b[0;36mModel.check_start_vals\u001b[1;34m(self, start)\u001b[0m\n\u001b[0;32m   1722\u001b[0m initial_eval \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpoint_logps(point\u001b[38;5;241m=\u001b[39melem)\n\u001b[0;32m   1724\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28mall\u001b[39m(np\u001b[38;5;241m.\u001b[39misfinite(v) \u001b[38;5;28;01mfor\u001b[39;00m v \u001b[38;5;129;01min\u001b[39;00m initial_eval\u001b[38;5;241m.\u001b[39mvalues()):\n\u001b[1;32m-> 1725\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m SamplingError(\n\u001b[0;32m   1726\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInitial evaluation of model at starting point failed!\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1727\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mStarting values:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00melem\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1728\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mInitial evaluation results:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;132;01m{\u001b[39;00minitial_eval\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m   1729\u001b[0m     )\n",
+      "\u001b[1;31mSamplingError\u001b[0m: Initial evaluation of model at starting point failed!\nStarting values:\n{'sigma_log__': array(-0.99934241), 'bN': array(-0.92004079), 'a': array(-0.64712419)}\n\nInitial evaluation results:\n{'sigma': -1.37, 'bN': -1.34, 'a': -1.13, 'K': nan}"
+     ]
+    }
+   ],
    "source": [
     "# This is meant to fail!\n",
     "with pm.Model() as m5_5_draft:\n",
@@ -1258,9 +2616,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     55.16\n",
+       "1       NaN\n",
+       "2       NaN\n",
+       "3       NaN\n",
+       "4       NaN\n",
+       "5     64.54\n",
+       "6     64.54\n",
+       "7     67.64\n",
+       "8       NaN\n",
+       "9     68.85\n",
+       "10    58.85\n",
+       "11    61.69\n",
+       "12    60.32\n",
+       "13      NaN\n",
+       "14      NaN\n",
+       "15    69.97\n",
+       "16      NaN\n",
+       "17    70.41\n",
+       "18      NaN\n",
+       "19    73.40\n",
+       "20      NaN\n",
+       "21    67.53\n",
+       "22      NaN\n",
+       "23    71.26\n",
+       "24    72.60\n",
+       "25      NaN\n",
+       "26    70.24\n",
+       "27    76.30\n",
+       "28    75.49\n",
+       "Name: neocortex.perc, dtype: float64"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "d[\"neocortex.perc\"]"
    ]
@@ -1274,9 +2672,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 53,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(17, 11)"
+      ]
+     },
+     "execution_count": 53,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "dcc = d.dropna(axis=0)\n",
     "dcc.shape"
@@ -1291,9 +2700,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 54,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, bN, a]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "shared_N = shared(dcc[\"N\"].values)\n",
     "\n",
@@ -1317,7 +2785,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1329,9 +2797,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 56,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -1355,9 +2836,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 57,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, bN, a]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:05<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 20 seconds.\n"
+     ]
+    }
+   ],
    "source": [
     "shared_N = shared(dcc[\"N\"].values)\n",
     "\n",
@@ -1376,7 +2916,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1388,9 +2928,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 59,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
@@ -1414,40 +2967,184 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "az.summary(m5_5_trace, var_names=[\"a\", \"bN\", \"sigma\"])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "#### 5.37"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 60,
    "metadata": {},
-   "outputs": [],
-   "source": [
-    "xseq = np.linspace(dcc[\"N\"].min() - 0.15, dcc[\"N\"].max() + 0.15, 30)\n",
-    "\n",
-    "shared_N.set_value(xseq)\n",
-    "\n",
-    "with m5_5:\n",
-    "    m5_5_posterior_predictive = pm.sample_posterior_predictive(\n",
-    "        m5_5_trace, var_names=[\"mu\"]\n",
-    "    )\n",
-    "\n",
-    "mu_ppd = m5_5_posterior_predictive.posterior_predictive[\"mu\"]\n",
-    "mu_mean = mu_ppd.mean(dim = ['chain','draw'])\n",
-    "\n",
-    "fig, ax = plt.subplots()\n",
-    "az.plot_hdi(xseq, mu_ppd, ax=ax)\n",
+   "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>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>0.033</td>\n",
+       "      <td>0.161</td>\n",
+       "      <td>-0.263</td>\n",
+       "      <td>0.347</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>3967.0</td>\n",
+       "      <td>2421.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bN</th>\n",
+       "      <td>0.123</td>\n",
+       "      <td>0.243</td>\n",
+       "      <td>-0.321</td>\n",
+       "      <td>0.582</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4216.0</td>\n",
+       "      <td>2758.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>1.114</td>\n",
+       "      <td>0.207</td>\n",
+       "      <td>0.779</td>\n",
+       "      <td>1.497</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4199.0</td>\n",
+       "      <td>2795.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "a      0.033  0.161  -0.263    0.347      0.003    0.003    3967.0    2421.0   \n",
+       "bN     0.123  0.243  -0.321    0.582      0.004    0.003    4216.0    2758.0   \n",
+       "sigma  1.114  0.207   0.779    1.497      0.003    0.002    4199.0    2795.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "a        1.0  \n",
+       "bN       1.0  \n",
+       "sigma    1.0  "
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "az.summary(m5_5_trace, var_names=[\"a\", \"bN\", \"sigma\"])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### 5.37"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='4000' class='' max='4000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [4000/4000 00:00<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "xseq = np.linspace(dcc[\"N\"].min() - 0.15, dcc[\"N\"].max() + 0.15, 30)\n",
+    "\n",
+    "shared_N.set_value(xseq)\n",
+    "\n",
+    "with m5_5:\n",
+    "    m5_5_posterior_predictive = pm.sample_posterior_predictive(\n",
+    "        m5_5_trace, var_names=[\"mu\"]\n",
+    "    )\n",
+    "\n",
+    "mu_ppd = m5_5_posterior_predictive.posterior_predictive[\"mu\"]\n",
+    "mu_mean = mu_ppd.mean(dim = ['chain','draw'])\n",
+    "\n",
+    "fig, ax = plt.subplots()\n",
+    "az.plot_hdi(xseq, mu_ppd, ax=ax)\n",
     "ax.plot(xseq, mu_mean, c=\"black\")\n",
     "ax.scatter(dcc[\"N\"], dcc[\"K\"], facecolors=\"none\", edgecolors=\"b\")\n",
     "ax.set_ylim(-1.5, 2.2)\n",
@@ -1464,9 +3161,157 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, bM, a]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:06<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 21 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>bM</th>\n",
+       "      <td>-0.306</td>\n",
+       "      <td>0.242</td>\n",
+       "      <td>-0.789</td>\n",
+       "      <td>0.120</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>4344.0</td>\n",
+       "      <td>2989.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>0.044</td>\n",
+       "      <td>0.158</td>\n",
+       "      <td>-0.259</td>\n",
+       "      <td>0.318</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4699.0</td>\n",
+       "      <td>2593.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>1.060</td>\n",
+       "      <td>0.201</td>\n",
+       "      <td>0.731</td>\n",
+       "      <td>1.443</td>\n",
+       "      <td>0.003</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>3701.0</td>\n",
+       "      <td>2119.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "bM    -0.306  0.242  -0.789    0.120      0.004    0.003    4344.0    2989.0   \n",
+       "a      0.044  0.158  -0.259    0.318      0.002    0.002    4699.0    2593.0   \n",
+       "sigma  1.060  0.201   0.731    1.443      0.003    0.002    3701.0    2119.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "bM       1.0  \n",
+       "a        1.0  \n",
+       "sigma    1.0  "
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "shared_M = shared(dcc[\"M\"].values)\n",
     "\n",
@@ -1493,9 +3338,171 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 63,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, bN, bM, a]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='48000' class='' max='48000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [48000/48000 00:32<00:00 Sampling 4 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 4 chains for 2_000 tune and 10_000 draw iterations (8_000 + 40_000 draws total) took 49 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>a</th>\n",
+       "      <td>0.060</td>\n",
+       "      <td>0.152</td>\n",
+       "      <td>-0.222</td>\n",
+       "      <td>0.352</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>33132.0</td>\n",
+       "      <td>27357.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bN</th>\n",
+       "      <td>0.380</td>\n",
+       "      <td>0.259</td>\n",
+       "      <td>-0.119</td>\n",
+       "      <td>0.858</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>24784.0</td>\n",
+       "      <td>22994.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>bM</th>\n",
+       "      <td>-0.513</td>\n",
+       "      <td>0.271</td>\n",
+       "      <td>-1.004</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>23848.0</td>\n",
+       "      <td>22770.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>0.970</td>\n",
+       "      <td>0.193</td>\n",
+       "      <td>0.651</td>\n",
+       "      <td>1.335</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>25911.0</td>\n",
+       "      <td>22398.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  ess_tail  \\\n",
+       "a      0.060  0.152  -0.222    0.352      0.001    0.001   33132.0   27357.0   \n",
+       "bN     0.380  0.259  -0.119    0.858      0.002    0.001   24784.0   22994.0   \n",
+       "bM    -0.513  0.271  -1.004    0.017      0.002    0.001   23848.0   22770.0   \n",
+       "sigma  0.970  0.193   0.651    1.335      0.001    0.001   25911.0   22398.0   \n",
+       "\n",
+       "       r_hat  \n",
+       "a        1.0  \n",
+       "bN       1.0  \n",
+       "bM       1.0  \n",
+       "sigma    1.0  "
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "shared_N = shared(dcc[\"N\"].values)\n",
     "shared_M = shared(dcc[\"M\"].values)\n",
@@ -1525,9 +3532,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 64,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x676.8 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "az.plot_forest(\n",
     "    [m5_7_trace, m5_6_trace, m5_5_trace],\n",
@@ -1547,9 +3567,63 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 65,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='40000' class='' max='40000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [40000/40000 00:01<00:00]\n",
+       "    </div>\n",
+       "    "
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "xseq = np.linspace(dcc[\"M\"].min() - 0.15, dcc[\"M\"].max() + 0.15, 30)\n",
     "shared_N.set_value(np.zeros(30))\n",
@@ -1583,7 +3657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 66,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1599,9 +3673,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 67,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 993.6x662.4 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Professor McElreath suggests viewing the pair plots\n",
     "az.plot_pair({\"M\": M, \"N\": N, \"K\": K});"
@@ -1616,7 +3703,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1649,9 +3736,90 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 69,
    "metadata": {},
-   "outputs": [],
+   "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>height</th>\n",
+       "      <th>weight</th>\n",
+       "      <th>age</th>\n",
+       "      <th>male</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>151.765</td>\n",
+       "      <td>47.825606</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>139.700</td>\n",
+       "      <td>36.485807</td>\n",
+       "      <td>63.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>136.525</td>\n",
+       "      <td>31.864838</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>156.845</td>\n",
+       "      <td>53.041914</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>145.415</td>\n",
+       "      <td>41.276872</td>\n",
+       "      <td>51.0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    height     weight   age  male\n",
+       "0  151.765  47.825606  63.0     1\n",
+       "1  139.700  36.485807  63.0     0\n",
+       "2  136.525  31.864838  65.0     0\n",
+       "3  156.845  53.041914  41.0     1\n",
+       "4  145.415  41.276872  51.0     0"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "d = pd.read_csv(os.path.join(\"Data\", \"Howell1.csv\"), delimiter=\";\")\n",
     "d.head()"
@@ -1666,9 +3834,66 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 70,
    "metadata": {},
-   "outputs": [],
+   "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>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu_female</th>\n",
+       "      <td>176.918</td>\n",
+       "      <td>19.091</td>\n",
+       "      <td>141.103</td>\n",
+       "      <td>212.153</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_male</th>\n",
+       "      <td>177.696</td>\n",
+       "      <td>22.989</td>\n",
+       "      <td>135.588</td>\n",
+       "      <td>221.674</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              mean      sd   hdi_3%  hdi_97%\n",
+       "mu_female  176.918  19.091  141.103  212.153\n",
+       "mu_male    177.696  22.989  135.588  221.674"
+      ]
+     },
+     "execution_count": 70,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "mu_female = stats.norm(178, 20).rvs(1000)\n",
     "mu_male = stats.norm(178, 20).rvs(1000) + stats.norm(0, 10).rvs(1000)\n",
@@ -1685,7 +3910,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1701,9 +3926,157 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 72,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, mu]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:07<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 24 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu[0]</th>\n",
+       "      <td>134.936</td>\n",
+       "      <td>1.695</td>\n",
+       "      <td>131.786</td>\n",
+       "      <td>137.962</td>\n",
+       "      <td>0.023</td>\n",
+       "      <td>0.016</td>\n",
+       "      <td>5634.0</td>\n",
+       "      <td>3251.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu[1]</th>\n",
+       "      <td>142.576</td>\n",
+       "      <td>1.750</td>\n",
+       "      <td>139.176</td>\n",
+       "      <td>145.690</td>\n",
+       "      <td>0.026</td>\n",
+       "      <td>0.018</td>\n",
+       "      <td>4494.0</td>\n",
+       "      <td>3008.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>27.423</td>\n",
+       "      <td>0.851</td>\n",
+       "      <td>25.827</td>\n",
+       "      <td>29.031</td>\n",
+       "      <td>0.011</td>\n",
+       "      <td>0.008</td>\n",
+       "      <td>5779.0</td>\n",
+       "      <td>3101.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "mu[0]  134.936  1.695  131.786  137.962      0.023    0.016    5634.0   \n",
+       "mu[1]  142.576  1.750  139.176  145.690      0.026    0.018    4494.0   \n",
+       "sigma   27.423  0.851   25.827   29.031      0.011    0.008    5779.0   \n",
+       "\n",
+       "       ess_tail  r_hat  \n",
+       "mu[0]    3251.0    1.0  \n",
+       "mu[1]    3008.0    1.0  \n",
+       "sigma    3101.0    1.0  "
+      ]
+     },
+     "execution_count": 72,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with pm.Model() as m5_8:\n",
     "    sigma = pm.Uniform(\"sigma\", 0, 50)\n",
@@ -1723,9 +4096,171 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 73,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, mu]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:07<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 24 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu[0]</th>\n",
+       "      <td>134.891</td>\n",
+       "      <td>1.680</td>\n",
+       "      <td>131.829</td>\n",
+       "      <td>138.050</td>\n",
+       "      <td>0.024</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>4904.0</td>\n",
+       "      <td>2827.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu[1]</th>\n",
+       "      <td>142.600</td>\n",
+       "      <td>1.702</td>\n",
+       "      <td>139.324</td>\n",
+       "      <td>145.667</td>\n",
+       "      <td>0.025</td>\n",
+       "      <td>0.017</td>\n",
+       "      <td>4771.0</td>\n",
+       "      <td>3040.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>sigma</th>\n",
+       "      <td>27.436</td>\n",
+       "      <td>0.860</td>\n",
+       "      <td>25.889</td>\n",
+       "      <td>29.090</td>\n",
+       "      <td>0.012</td>\n",
+       "      <td>0.009</td>\n",
+       "      <td>4944.0</td>\n",
+       "      <td>2769.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>diff</th>\n",
+       "      <td>-7.709</td>\n",
+       "      <td>2.400</td>\n",
+       "      <td>-12.198</td>\n",
+       "      <td>-3.225</td>\n",
+       "      <td>0.033</td>\n",
+       "      <td>0.025</td>\n",
+       "      <td>5185.0</td>\n",
+       "      <td>2877.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          mean     sd   hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "mu[0]  134.891  1.680  131.829  138.050      0.024    0.017    4904.0   \n",
+       "mu[1]  142.600  1.702  139.324  145.667      0.025    0.017    4771.0   \n",
+       "sigma   27.436  0.860   25.889   29.090      0.012    0.009    4944.0   \n",
+       "diff    -7.709  2.400  -12.198   -3.225      0.033    0.025    5185.0   \n",
+       "\n",
+       "       ess_tail  r_hat  \n",
+       "mu[0]    2827.0    1.0  \n",
+       "mu[1]    3040.0    1.0  \n",
+       "sigma    2769.0    1.0  \n",
+       "diff     2877.0    1.0  "
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with pm.Model() as m5_8:\n",
     "    sigma = pm.Uniform(\"sigma\", 0, 50)\n",
@@ -1749,9 +4284,121 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 74,
    "metadata": {},
-   "outputs": [],
+   "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>clade</th>\n",
+       "      <th>species</th>\n",
+       "      <th>kcal.per.g</th>\n",
+       "      <th>perc.fat</th>\n",
+       "      <th>perc.protein</th>\n",
+       "      <th>perc.lactose</th>\n",
+       "      <th>mass</th>\n",
+       "      <th>neocortex.perc</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Eulemur fulvus</td>\n",
+       "      <td>0.49</td>\n",
+       "      <td>16.60</td>\n",
+       "      <td>15.42</td>\n",
+       "      <td>67.98</td>\n",
+       "      <td>1.95</td>\n",
+       "      <td>55.16</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E macaco</td>\n",
+       "      <td>0.51</td>\n",
+       "      <td>19.27</td>\n",
+       "      <td>16.91</td>\n",
+       "      <td>63.82</td>\n",
+       "      <td>2.09</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E mongoz</td>\n",
+       "      <td>0.46</td>\n",
+       "      <td>14.11</td>\n",
+       "      <td>16.85</td>\n",
+       "      <td>69.04</td>\n",
+       "      <td>2.51</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>E rubriventer</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>14.91</td>\n",
+       "      <td>13.18</td>\n",
+       "      <td>71.91</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Strepsirrhine</td>\n",
+       "      <td>Lemur catta</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>27.28</td>\n",
+       "      <td>19.50</td>\n",
+       "      <td>53.22</td>\n",
+       "      <td>2.19</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           clade         species  kcal.per.g  perc.fat  perc.protein  \\\n",
+       "0  Strepsirrhine  Eulemur fulvus        0.49     16.60         15.42   \n",
+       "1  Strepsirrhine        E macaco        0.51     19.27         16.91   \n",
+       "2  Strepsirrhine        E mongoz        0.46     14.11         16.85   \n",
+       "3  Strepsirrhine   E rubriventer        0.48     14.91         13.18   \n",
+       "4  Strepsirrhine     Lemur catta        0.60     27.28         19.50   \n",
+       "\n",
+       "   perc.lactose  mass  neocortex.perc  \n",
+       "0         67.98  1.95           55.16  \n",
+       "1         63.82  2.09             NaN  \n",
+       "2         69.04  2.51             NaN  \n",
+       "3         71.91  1.62             NaN  \n",
+       "4         53.22  2.19             NaN  "
+      ]
+     },
+     "execution_count": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "d = pd.read_csv(os.path.join(\"Data\", \"milk.csv\"), delimiter=\";\")\n",
     "d.head()"
@@ -1766,7 +4413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 75,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1782,18 +4429,100 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 76,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "4"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "d[\"clade_id\"].max() + 1"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 77,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, mu]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:07<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 23 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x316.8 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "d[\"K\"] = standardize(d[\"kcal.per.g\"])\n",
     "\n",
@@ -1816,7 +4545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1832,9 +4561,227 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 79,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Auto-assigning NUTS sampler...\n",
+      "Initializing NUTS using jitter+adapt_diag...\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
+      "NUTS: [sigma, mu_house, mu_clade]\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "\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"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "    <div>\n",
+       "      <progress value='8000' class='' max='8000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+       "      100.00% [8000/8000 00:09<00:00 Sampling 4 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 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 27 seconds.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>sd</th>\n",
+       "      <th>hdi_3%</th>\n",
+       "      <th>hdi_97%</th>\n",
+       "      <th>mcse_mean</th>\n",
+       "      <th>mcse_sd</th>\n",
+       "      <th>ess_bulk</th>\n",
+       "      <th>ess_tail</th>\n",
+       "      <th>r_hat</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[0]</th>\n",
+       "      <td>-0.362</td>\n",
+       "      <td>0.290</td>\n",
+       "      <td>-0.907</td>\n",
+       "      <td>0.198</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3159.0</td>\n",
+       "      <td>3182.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[1]</th>\n",
+       "      <td>0.363</td>\n",
+       "      <td>0.295</td>\n",
+       "      <td>-0.205</td>\n",
+       "      <td>0.908</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3188.0</td>\n",
+       "      <td>3222.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[2]</th>\n",
+       "      <td>0.557</td>\n",
+       "      <td>0.314</td>\n",
+       "      <td>-0.013</td>\n",
+       "      <td>1.179</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3375.0</td>\n",
+       "      <td>2916.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_clade[3]</th>\n",
+       "      <td>-0.466</td>\n",
+       "      <td>0.325</td>\n",
+       "      <td>-1.076</td>\n",
+       "      <td>0.143</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3786.0</td>\n",
+       "      <td>2837.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[0]</th>\n",
+       "      <td>0.123</td>\n",
+       "      <td>0.324</td>\n",
+       "      <td>-0.469</td>\n",
+       "      <td>0.729</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>3503.0</td>\n",
+       "      <td>2977.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[1]</th>\n",
+       "      <td>-0.357</td>\n",
+       "      <td>0.286</td>\n",
+       "      <td>-0.885</td>\n",
+       "      <td>0.181</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3087.0</td>\n",
+       "      <td>2976.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[2]</th>\n",
+       "      <td>0.049</td>\n",
+       "      <td>0.285</td>\n",
+       "      <td>-0.458</td>\n",
+       "      <td>0.602</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3304.0</td>\n",
+       "      <td>2820.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mu_house[3]</th>\n",
+       "      <td>0.288</td>\n",
+       "      <td>0.325</td>\n",
+       "      <td>-0.372</td>\n",
+       "      <td>0.856</td>\n",
+       "      <td>0.005</td>\n",
+       "      <td>0.004</td>\n",
+       "      <td>3569.0</td>\n",
+       "      <td>3305.0</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
+       "mu_clade[0] -0.362  0.290  -0.907    0.198      0.005    0.004    3159.0   \n",
+       "mu_clade[1]  0.363  0.295  -0.205    0.908      0.005    0.004    3188.0   \n",
+       "mu_clade[2]  0.557  0.314  -0.013    1.179      0.005    0.004    3375.0   \n",
+       "mu_clade[3] -0.466  0.325  -1.076    0.143      0.005    0.004    3786.0   \n",
+       "mu_house[0]  0.123  0.324  -0.469    0.729      0.005    0.005    3503.0   \n",
+       "mu_house[1] -0.357  0.286  -0.885    0.181      0.005    0.004    3087.0   \n",
+       "mu_house[2]  0.049  0.285  -0.458    0.602      0.005    0.004    3304.0   \n",
+       "mu_house[3]  0.288  0.325  -0.372    0.856      0.005    0.004    3569.0   \n",
+       "\n",
+       "             ess_tail  r_hat  \n",
+       "mu_clade[0]    3182.0    1.0  \n",
+       "mu_clade[1]    3222.0    1.0  \n",
+       "mu_clade[2]    2916.0    1.0  \n",
+       "mu_clade[3]    2837.0    1.0  \n",
+       "mu_house[0]    2977.0    1.0  \n",
+       "mu_house[1]    2976.0    1.0  \n",
+       "mu_house[2]    2820.0    1.0  \n",
+       "mu_house[3]    3305.0    1.0  "
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "with pm.Model() as m5_10:\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
@@ -1851,9 +4798,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 80,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Last updated: Sat Jul 09 2022\n",
+      "\n",
+      "Python implementation: CPython\n",
+      "Python version       : 3.9.13\n",
+      "IPython version      : 8.4.0\n",
+      "\n",
+      "arviz     : 0.12.1\n",
+      "numpy     : 1.22.1\n",
+      "pymc      : 4.0.0\n",
+      "pandas    : 1.4.2\n",
+      "matplotlib: 3.5.2\n",
+      "scipy     : 1.7.3\n",
+      "daft      : 0.1.2\n",
+      "\n",
+      "Watermark: 2.3.1\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "%load_ext watermark\n",
     "%watermark -n -u -v -iv -w"

From 1a9a3852f18429574dd6815daa35feec13603525 Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Wed, 20 Jul 2022 08:08:43 -0500
Subject: [PATCH 05/10] adding environment_v4.yml

createing yml file for stat-rethink2-pymc_v4 environment
---
 Rethinking_2/environment_v4.yml | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)
 create mode 100644 Rethinking_2/environment_v4.yml

diff --git a/Rethinking_2/environment_v4.yml b/Rethinking_2/environment_v4.yml
new file mode 100644
index 00000000..2c96852e
--- /dev/null
+++ b/Rethinking_2/environment_v4.yml
@@ -0,0 +1,25 @@
+name: stat-rethink2-pymc_v4
+channels:
+- conda-forge
+dependencies:
+  - jupyter
+  - jupyterlab
+  - seaborn
+  - mkl-service
+  - watermark
+  - pymc
+  - arviz
+  - aeppl
+  - aesara
+  - theano-pymc
+  - mkl
+  - mkl-service
+  - pip
+  - pip:
+    - daft
+    - causalgraphicalmodels
+     - watermark
+     - "git+git://github.com/arviz-devs/arviz.git@main"
+     - "git+git://github.com/pymc-devs/pymc.git@main"
+     - causalgraphicalmodels
+     - daft

From bde8a141b4d1b1c1a4c27dce1775c664cd8b2476 Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Wed, 20 Jul 2022 08:28:14 -0500
Subject: [PATCH 06/10] re-ran black formatting command

---
 Rethinking_2/Chp_05.ipynb | 58 +++++++++++++++++++++------------------
 1 file changed, 31 insertions(+), 27 deletions(-)

diff --git a/Rethinking_2/Chp_05.ipynb b/Rethinking_2/Chp_05.ipynb
index 952fc81b..c37f377e 100644
--- a/Rethinking_2/Chp_05.ipynb
+++ b/Rethinking_2/Chp_05.ipynb
@@ -538,7 +538,7 @@
     }
    ],
    "source": [
-    "m_5_1_trace.posterior[\"bA\"].shape\n"
+    "m_5_1_trace.posterior[\"bA\"].shape"
    ]
   },
   {
@@ -1010,7 +1010,9 @@
     "    bM = pm.Normal(\"bM\", 0, 0.5)\n",
     "\n",
     "    sigma = pm.Exponential(\"sigma\", 1)\n",
-    "    mu = pm.Deterministic(\"mu\", a + bM * data[\"Marriage_std\"].values + bA * data[\"MedianAgeMarriage_std\"].values)\n",
+    "    mu = pm.Deterministic(\n",
+    "        \"mu\", a + bM * data[\"Marriage_std\"].values + bA * data[\"MedianAgeMarriage_std\"].values\n",
+    "    )\n",
     "\n",
     "    divorce_rate_std = pm.Normal(\n",
     "        \"divorce_rate_std\", mu=mu, sigma=sigma, observed=data[\"Divorce_std\"].values\n",
@@ -1288,7 +1290,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "mu_m_5_4_mean = m_5_4_trace.posterior[\"mu\"].mean(dim = ['chain','draw'])\n",
+    "mu_m_5_4_mean = m_5_4_trace.posterior[\"mu\"].mean(dim=[\"chain\", \"draw\"])\n",
     "residuals = data[\"Marriage_std\"] - mu_m_5_4_mean"
    ]
   },
@@ -1349,15 +1351,13 @@
    ],
    "source": [
     "with m_5_3:\n",
-    "    m_5_3_ppc = pm.sample_posterior_predictive(\n",
-    "        m_5_3_trace, var_names=[\"mu\", \"divorce_rate_std\"]\n",
-    "    )\n",
+    "    m_5_3_ppc = pm.sample_posterior_predictive(m_5_3_trace, var_names=[\"mu\", \"divorce_rate_std\"])\n",
     "\n",
     "\n",
-    "mu_mean = m_5_3_ppc.posterior_predictive[\"mu\"].mean(dim = ['chain','draw'])\n",
+    "mu_mean = m_5_3_ppc.posterior_predictive[\"mu\"].mean(dim=[\"chain\", \"draw\"])\n",
     "mu_PI = az.hdi(m_5_3_ppc.posterior_predictive[\"mu\"], 0.89)\n",
     "\n",
-    "D_sim = m_5_3_ppc.posterior_predictive[\"divorce_rate_std\"].mean(dim = ['chain','draw'])\n",
+    "D_sim = m_5_3_ppc.posterior_predictive[\"divorce_rate_std\"].mean(dim=[\"chain\", \"draw\"])\n",
     "D_PI = az.hdi(m_5_3_ppc.posterior_predictive[\"divorce_rate_std\"], 0.89)"
    ]
   },
@@ -1391,7 +1391,7 @@
     "plt.errorbar(\n",
     "    data[\"Divorce_std\"].values,\n",
     "    D_sim,\n",
-    "    yerr=np.abs(np.array(D_sim) - mu_PI.min(dim = 'hdi').to_array()),\n",
+    "    yerr=np.abs(np.array(D_sim) - mu_PI.min(dim=\"hdi\").to_array()),\n",
     "    fmt=\"C0o\",\n",
     ")\n",
     "ax.scatter(data[\"Divorce_std\"].values, D_sim)\n",
@@ -1672,14 +1672,14 @@
    "source": [
     "_, ax = plt.subplots(1, 2, figsize=(12, 4))\n",
     "az.plot_hdi(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"], ax=ax[0])\n",
-    "ax[0].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"].mean(dim=['chain','draw']))\n",
+    "ax[0].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"divorce\"].mean(dim=[\"chain\", \"draw\"]))\n",
     "ax[0].set_title(\"Total counterfactual effect of A on D\")\n",
     "ax[0].set_xlabel(\"manipulated A\")\n",
     "ax[0].set_ylabel(\"counterfactual D\")\n",
     "\n",
     "\n",
     "az.plot_hdi(A_seq, m5_3_M_marriage.posterior_predictive[\"marriage\"], ax=ax[1])\n",
-    "ax[1].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"marriage\"].mean(dim=['chain','draw']))\n",
+    "ax[1].plot(A_seq, m5_3_M_marriage.posterior_predictive[\"marriage\"].mean(dim=[\"chain\", \"draw\"]))\n",
     "ax[1].set_title(\"Total counterfactual effect of A -> M\")\n",
     "ax[1].set_xlabel(\"manipulated A\")\n",
     "ax[1].set_ylabel(\"counterfactual M\");"
@@ -2115,7 +2115,10 @@
     "    m5_3_M_ppc = pm.sample_posterior_predictive(m5_3_A_trace)\n",
     "\n",
     "# Average first and last column and take difference\n",
-    "m5_3_M_ppc.posterior_predictive[\"divorce\"][:, -1].mean() - m5_3_M_ppc.posterior_predictive[\"divorce\"][:, 0].mean()"
+    "(\n",
+    "    m5_3_M_ppc.posterior_predictive[\"divorce\"][:, -1].mean()\n",
+    "    - m5_3_M_ppc.posterior_predictive[\"divorce\"][:, 0].mean()\n",
+    ")"
    ]
   },
   {
@@ -2206,7 +2209,10 @@
     "fig, ax = plt.subplots()\n",
     "\n",
     "az.plot_hdi(marriage_counter_factual_x, m5_3_M_ppc.posterior_predictive[\"divorce\"], ax=ax)\n",
-    "ax.plot(marriage_counter_factual_x, m5_3_M_ppc.posterior_predictive[\"divorce\"].mean(dim = ['chain','draw']))\n",
+    "ax.plot(\n",
+    "    marriage_counter_factual_x,\n",
+    "    m5_3_M_ppc.posterior_predictive[\"divorce\"].mean(dim=[\"chain\", \"draw\"]),\n",
+    ")\n",
     "ax.set_title(\"Total counterfactual effect M on D\")\n",
     "ax.set_xlabel(\"manipulated M\")\n",
     "ax.set_ylabel(\"counterfactual D\");"
@@ -2307,7 +2313,9 @@
     }
    ],
    "source": [
-    "marriage_mu_counterfactual = np.outer(m5_3_M_marriage.posterior_predictive[\"aM\"] + m5_3_M_marriage.posterior_predictive[\"bAM\"], A_seq)\n",
+    "marriage_mu_counterfactual = np.outer(\n",
+    "    m5_3_M_marriage.posterior_predictive[\"aM\"] + m5_3_M_marriage.posterior_predictive[\"bAM\"], A_seq\n",
+    ")\n",
     "marriage_mu_counterfactual.shape"
    ]
   },
@@ -2402,7 +2410,7 @@
    "outputs": [],
    "source": [
     "D_sim = np.zeros((30, 4000))\n",
-    "a =  np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"a\"]).to_array())\n",
+    "a = np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"a\"]).to_array())\n",
     "bM = np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"bM\"]).to_array())\n",
     "bA = np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"bA\"]).to_array())\n",
     "sigma = np.array(az.extract_dataset(m5_3_M_divorce.posterior_predictive[\"sigma\"]).to_array())\n",
@@ -2816,7 +2824,7 @@
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
-    "ppr_K = m5_5_draft_prior_predictive.prior_predictive[\"K\"].mean(dim = ['chain'])\n",
+    "ppr_K = m5_5_draft_prior_predictive.prior_predictive[\"K\"].mean(dim=[\"chain\"])\n",
     "\n",
     "for i in range(50):\n",
     "    ax.plot(xseq, ppr_K[i], c=\"black\", alpha=0.3)\n",
@@ -2947,7 +2955,7 @@
    "source": [
     "fig, ax = plt.subplots()\n",
     "\n",
-    "ppr_K = m5_5_prior_predictive.prior_predictive[\"K\"].mean(dim = ['chain'])\n",
+    "ppr_K = m5_5_prior_predictive.prior_predictive[\"K\"].mean(dim=[\"chain\"])\n",
     "\n",
     "for i in range(50):\n",
     "    ax.plot(xseq, ppr_K[i], c=\"black\", alpha=0.3)\n",
@@ -3136,12 +3144,10 @@
     "shared_N.set_value(xseq)\n",
     "\n",
     "with m5_5:\n",
-    "    m5_5_posterior_predictive = pm.sample_posterior_predictive(\n",
-    "        m5_5_trace, var_names=[\"mu\"]\n",
-    "    )\n",
+    "    m5_5_posterior_predictive = pm.sample_posterior_predictive(m5_5_trace, var_names=[\"mu\"])\n",
     "\n",
     "mu_ppd = m5_5_posterior_predictive.posterior_predictive[\"mu\"]\n",
-    "mu_mean = mu_ppd.mean(dim = ['chain','draw'])\n",
+    "mu_mean = mu_ppd.mean(dim=[\"chain\", \"draw\"])\n",
     "\n",
     "fig, ax = plt.subplots()\n",
     "az.plot_hdi(xseq, mu_ppd, ax=ax)\n",
@@ -3631,12 +3637,10 @@
     "\n",
     "\n",
     "with m5_7:\n",
-    "    m5_7_posterior_predictive = pm.sample_posterior_predictive(\n",
-    "        m5_7_trace, var_names=[\"mu\"]\n",
-    "    )\n",
+    "    m5_7_posterior_predictive = pm.sample_posterior_predictive(m5_7_trace, var_names=[\"mu\"])\n",
     "\n",
     "mu_ppd = m5_7_posterior_predictive.posterior_predictive[\"mu\"]\n",
-    "mu_mean = mu_ppd.mean(dim = ['chain','draw'])\n",
+    "mu_mean = mu_ppd.mean(dim=[\"chain\", \"draw\"])\n",
     "\n",
     "fig, ax = plt.subplots()\n",
     "az.plot_hdi(xseq, mu_ppd, ax=ax)\n",
@@ -4266,10 +4270,10 @@
     "    sigma = pm.Uniform(\"sigma\", 0, 50)\n",
     "    mu = pm.Normal(\"mu\", 178, 20, shape=2)\n",
     "    height = pm.Normal(\"height\", mu[sex], sigma, observed=d[\"height\"].values)\n",
-    "    \n",
+    "\n",
     "    # With PyMC it's easier just to create a deterministic that includes both values\n",
     "    diff_fm = pm.Deterministic(\"diff\", mu[0] - mu[1])\n",
-    "    \n",
+    "\n",
     "    m5_8_trace = pm.sample()\n",
     "\n",
     "az.summary(m5_8_trace)"

From f181d7291e63839864de4b23933bdd5ecd76d563 Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Wed, 20 Jul 2022 08:37:14 -0500
Subject: [PATCH 07/10] fixing gitignore

---
 .gitignore | 4 ----
 1 file changed, 4 deletions(-)

diff --git a/.gitignore b/.gitignore
index 9cf9ed0a..f63c5db8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -96,7 +96,3 @@ ENV/
 
 # mkdocs documentation
 /site
-
-# mypy
-.mypy_cache/
-Rethinking_2/End_of_chapter_problems/Chapter_2_mine.ipynb

From a8b63c898d381f58266843516b82622b9b14469b Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Wed, 20 Jul 2022 08:39:18 -0500
Subject: [PATCH 08/10] fixing gitignore

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index f63c5db8..7bbc71c0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -96,3 +96,6 @@ ENV/
 
 # mkdocs documentation
 /site
+
+# mypy
+.mypy_cache/

From 8eaf23faadf24771522b092ab2e64f9b4eb5ab77 Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Wed, 20 Jul 2022 09:06:18 -0500
Subject: [PATCH 09/10] freezing pymc package versions

It is my understanding that pymc v4 no longer has a dependency on theano, but I did not want to remove that without confirming. I have frozen the package version for theano-pymc but can remove if that is desired
---
 Rethinking_2/environment_v4.yml | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/Rethinking_2/environment_v4.yml b/Rethinking_2/environment_v4.yml
index 2c96852e..4b99e82a 100644
--- a/Rethinking_2/environment_v4.yml
+++ b/Rethinking_2/environment_v4.yml
@@ -7,11 +7,11 @@ dependencies:
   - seaborn
   - mkl-service
   - watermark
-  - pymc
-  - arviz
-  - aeppl
-  - aesara
-  - theano-pymc
+  - pymc==4.0.0
+  - arviz==0.12.1
+  - aeppl==0.0.31
+  - aesara==2.6.6
+  - theano-pymc==1.1.2
   - mkl
   - mkl-service
   - pip

From 4b33984f71a78effeb200f515e3d0d5d05aab61a Mon Sep 17 00:00:00 2001
From: yahrMason <yahr.mason@gmail.com>
Date: Wed, 20 Jul 2022 12:30:57 -0500
Subject: [PATCH 10/10] updating Chp_05 after running isort

---
 Rethinking_2/Chp_05.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Rethinking_2/Chp_05.ipynb b/Rethinking_2/Chp_05.ipynb
index c37f377e..ecf3c5a3 100644
--- a/Rethinking_2/Chp_05.ipynb
+++ b/Rethinking_2/Chp_05.ipynb
@@ -31,10 +31,10 @@
     "import pandas as pd\n",
     "import pymc as pm\n",
     "\n",
+    "from aesara import shared\n",
     "from causalgraphicalmodels import CausalGraphicalModel\n",
     "from scipy import stats\n",
     "from scipy.interpolate import griddata\n",
-    "from aesara import shared\n",
     "\n",
     "warnings.simplefilter(action=\"ignore\", category=FutureWarning)"
    ]