{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization in Python\n",
    "\n",
    "- Python provides a wide array of options\n",
    "- Low-level and high-level plotting APIs\n",
    "- Static images vs. HTML output vs. interactive plots\n",
    "- Domain-general and domain-specific packages\n",
    "\n",
    "**PS: Many pieces of this notebook have been scavenged from other visualization notebooks and galleries. But the main things are from Tal Yarkoni's [visualization-in-python notebook](https://github.com/neurohackweek/visualization-in-python).**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# General Overview\n",
    "\n",
    "In this notebook, we will cover the following python packages. Some of them are exclusively for visualization while others like `Pandas` have many other purposes:\n",
    "\n",
    "- [Matplotlib](https://matplotlib.org/)\n",
    "- [Seaborn](http://seaborn.pydata.org/)\n",
    "- [Pandas](http://pandas.pydata.org/)\n",
    "- [Bokeh](https://bokeh.pydata.org)\n",
    "- [Plotly](https://plot.ly/python/)\n",
    "\n",
    "The visualization of the first three is all based on matplotlib and use static images. While the last three create HTML outputs and allow much more interactive plots. We will talk about each one as we go along.\n",
    "\n",
    "## Python-graph-gallery\n",
    "Check out the very helpful and cool new homepage https://python-graph-gallery.com/ to see how you can create different kinds of graphs."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparation\n",
    "\n",
    "As with most things in Python, we first load the relevant packages. Here we load three important packages:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The first line in the cell above is specific to Jupyter notebooks. It tells the interpreter to capture figures and embed them in the browser. Otherwise, they would end up almost in digital ether."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Datasets\n",
    "\n",
    "For example purposes, we will make use of a phenotypic dataset from the [ABIDE II](http://fcon_1000.projects.nitrc.org/indi/abide/abide_II.html) consortium. This multi-site dataset contains data from individuals diagnosed with Autism Spectrum Disorder (ASD) and healthy controls. We will first load the data from a single site.\n",
    "\n",
    "Let's read this from the Web using Pandas. We explicitly specify that missing values are noted in the dataset as `'n/a'`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_table('data/participants.tsv', na_values=['n/a'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following cell we remove all columns that have missing values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>site_id</th>\n",
       "      <th>participant_id</th>\n",
       "      <th>dx_group</th>\n",
       "      <th>age_at_scan</th>\n",
       "      <th>sex</th>\n",
       "      <th>handedness_category</th>\n",
       "      <th>handedness_scores</th>\n",
       "      <th>viq</th>\n",
       "      <th>piq</th>\n",
       "      <th>viq_test_type</th>\n",
       "      <th>piq_test_type</th>\n",
       "      <th>nonasd_psydx_icd9code</th>\n",
       "      <th>nonasd_psydx_label</th>\n",
       "      <th>eye_status_at_scan</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABIDEII-KKI_1</td>\n",
       "      <td>29273</td>\n",
       "      <td>1</td>\n",
       "      <td>8.476712</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>314.01</td>\n",
       "      <td>ADHD combined</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ABIDEII-KKI_1</td>\n",
       "      <td>29274</td>\n",
       "      <td>1</td>\n",
       "      <td>9.246575</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>296.3</td>\n",
       "      <td>MDD (past)</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ABIDEII-KKI_1</td>\n",
       "      <td>29275</td>\n",
       "      <td>1</td>\n",
       "      <td>8.646575</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>121.0</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>313.81</td>\n",
       "      <td>ODD</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ABIDEII-KKI_1</td>\n",
       "      <td>29276</td>\n",
       "      <td>1</td>\n",
       "      <td>9.216438</td>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>314.01; 300.29</td>\n",
       "      <td>ADHD combined; simple phobia</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABIDEII-KKI_1</td>\n",
       "      <td>29277</td>\n",
       "      <td>1</td>\n",
       "      <td>12.789041</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>132.0</td>\n",
       "      <td>123.0</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>WISC-IV</td>\n",
       "      <td>314.01</td>\n",
       "      <td>ADHD hyperactive/impulsive</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         site_id  participant_id  dx_group  age_at_scan   sex  \\\n",
       "0  ABIDEII-KKI_1           29273         1      8.476712    1   \n",
       "1  ABIDEII-KKI_1           29274         1      9.246575    1   \n",
       "2  ABIDEII-KKI_1           29275         1      8.646575    1   \n",
       "3  ABIDEII-KKI_1           29276         1      9.216438    2   \n",
       "4  ABIDEII-KKI_1           29277         1     12.789041    1   \n",
       "\n",
       "   handedness_category  handedness_scores    viq    piq viq_test_type  \\\n",
       "0                  1.0               82.0  142.0  104.0       WISC-IV   \n",
       "1                  1.0               83.0  104.0   79.0       WISC-IV   \n",
       "2                  1.0              100.0  130.0  121.0       WISC-IV   \n",
       "3                  1.0              100.0  128.0  115.0       WISC-IV   \n",
       "4                  1.0               90.0  132.0  123.0       WISC-IV   \n",
       "\n",
       "  piq_test_type nonasd_psydx_icd9code            nonasd_psydx_label  \\\n",
       "0       WISC-IV                314.01                 ADHD combined   \n",
       "1       WISC-IV                 296.3                    MDD (past)   \n",
       "2       WISC-IV                313.81                          ODD    \n",
       "3       WISC-IV        314.01; 300.29  ADHD combined; simple phobia   \n",
       "4       WISC-IV                314.01    ADHD hyperactive/impulsive   \n",
       "\n",
       "   eye_status_at_scan  \n",
       "0                 1.0  \n",
       "1                 1.0  \n",
       "2                 1.0  \n",
       "3                 1.0  \n",
       "4                 1.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sub_df = df.dropna(axis=1)\n",
    "sub_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the `keys` method we can look at all the column headings that are left."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['site_id',\n",
       " 'participant_id',\n",
       " 'dx_group',\n",
       " 'age_at_scan ',\n",
       " 'sex',\n",
       " 'handedness_category',\n",
       " 'handedness_scores',\n",
       " 'viq',\n",
       " 'piq',\n",
       " 'viq_test_type',\n",
       " 'piq_test_type',\n",
       " 'nonasd_psydx_icd9code',\n",
       " 'nonasd_psydx_label',\n",
       " 'eye_status_at_scan']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(sub_df.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets now see how we can visualize the information in this dataset (`sub_df`). Python has quite a lot of visualization packages. Undeniably, the most famous and at the same time versatile, that additionally is the basis of most others, is [matplotlib](https://matplotlib.org/). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<center><img src=\"https://upload.wikimedia.org/wikipedia/en/thumb/5/56/Matplotlib_logo.svg/800px-Matplotlib_logo.svg.png\" width=\"60%\"></center>\n",
    "\n",
    "* The most widely-used Python plotting library\n",
    "* Initially modeled on MATLAB's plotting system\n",
    "* Designed to provide complete control over a plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "plt.scatter(sub_df['age_at_scan '], sub_df.viq)\n",
    "plt.xlabel('Age at scan')\n",
    "plt.ylabel('Verbal IQ')\n",
    "plt.title('Comparing Age and Verbal IQ');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thinking about how plotting works with `matplotlib`, we can explore a different approach to plotting, where we at first generate our figure and access certain parts of it, in order to modify them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/ipykernel_launcher.py:13: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  del sys.path[0]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set up a figure with 3 columns\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n",
    "\n",
    "# Scatter plot in top left\n",
    "axes[0].scatter(sub_df['age_at_scan '], sub_df['viq'])\n",
    "axes[0].axis('off')\n",
    "\n",
    "# Mean species petal widths in top right\n",
    "means = sub_df.groupby('dx_group')['viq'].mean()\n",
    "axes[1].bar(np.arange(len(means))+1, means)\n",
    "\n",
    "# Note how **broken** this is without additional code\n",
    "axes[1].set_xticklabels(means.index)\n",
    "\n",
    "# More scatter plots, breaking up by species\n",
    "colors = ['blue', 'green', 'red']\n",
    "for i, (s, grp) in enumerate(sub_df.groupby('dx_group')):\n",
    "    axes[2].scatter(grp['age_at_scan '], grp['viq'], c=colors[i])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "solution2": "hidden",
    "solution2_first": true
   },
   "source": [
    "## Exercise 1\n",
    "\n",
    "Create a figure with a single axes and replot the scatterplot on the right to group by `sex` instead of `dx_group`. \n",
    "- Set the figure size to a ratio of 8 (wide) x 5 (height)\n",
    "- Use the colors `red` and `gray`\n",
    "- Set the opacity of the points to 0.5\n",
    "- Label the axes\n",
    "- Add a legend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "solution2": "hidden"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# More scatter plots, breaking up by species\n",
    "plt.figure(figsize=(10, 5))\n",
    "colors = ['red', 'black']\n",
    "for i, (s, grp) in enumerate(sub_df.groupby('sex')):\n",
    "    plt.scatter(grp['age_at_scan '], grp['viq'], c=colors[i], alpha=0.5)\n",
    "plt.xlabel('Age at scan')\n",
    "plt.xlabel('Verbal IQ')\n",
    "plt.legend(['Male', 'Female']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create solution here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## From the Gallery\n",
    "\n",
    "You can reuse code directly from the [matplotlib gallery](https://matplotlib.org/gallery/index.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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cYHmS04F7gNOgc29Iki33hmzCe0MkaUwmyJJ2OnvvvTcPP/wwAD/84Q856KCD2HXXXfnCF77Ad7/73T5HNzFV9RPgWVuVPUBnVYuR6ntviCRNkAmypL6ayLJsU+1Zz3oWxx13HEceeSS//Mu/zB133MGCBQuYP38+z3ve83oejyRpsJggS9opXXrppePWufXWW5/Yfvvb397NcCRJA8Sb9CRJkqQWE2RJkiSpxQRZkiRJanEOsjSOlVe9b+wKJ/cmDkmS1BuOIEuSJEktjiBrqDiaK0mSus0RZEl9lSn+byL22msvANatW8drXvOabr49SdIQMkGWtNM69NBD+cQnPtHvMCRJA8YEWdJOa82aNRx55JEAXHTRRZx66qn81m/9FnPnzuXDH/4w73//+zn66KM59thjefDBBwH49re/zUknncSLXvQiXvKSl3DHHXf08y1IkrrABFmSGrfeeiuXXnopN9xwA+9617t45jOfyTe/+U1+9Vd/lYsvvhiAJUuW8Nd//dfceOONvPe97+WP//iP+xy1JGmqeZOeJDVe+tKXsvfee7P33nuz77778lu/9VsAHHXUUdxyyy088sgjfOUrX+G000574pzHHnusX+FKkrrEBFmSGrvtttsT20972tOe2H/a057Gpk2bePzxx9lvv/24+eab+xShJKkXnGIhSRO0zz77MHfuXP7pn/4JgKriW9/6Vp+jkiRNNRNkSX1VU/xft11yySVccMEFvOAFL+CII47giiuu6HqbkqTecoqFlHHWzv30e3sTh3rmkUceAWDOnDnceuutALzhDW/gDW94wxN11qxZ88R2+9jcuXO5+uqrexWqJKkPHEGWJEmSWkyQJUmSpBYTZEk9V9X9ucL9NN3fnyRNdybIknpq991354EHHpi2SWRV8cADD7D77rv3OxRJ0nbyJj1JPTVr1izWrl3Lxo0b+x1K1+y+++7MmjWr32FIkraTCbKkntp1112ZO3duv8MYekn2A/4ROBIo4A+AO4GPA3OANcBvV9UPmvpnA6cDm4G3VNU1PQ9akoaEUywkaTh9CLi6qp4HvABYBZwFXFdV84Drmn2SHA4sAo4ATgLOS7JLX6KWpCFggixJQybJPsCvARcAVNV/VNVDwEJgWVNtGXBqs70QuKyqHququ4HVwDG9jFmShokJsiQNn58HNgIfSfLNJP+YZE/g4KpaD9D8PKipPxO4t3X+2qbsKZIsSbIiyYrpPEdcksZjgixJw+fpwAuBv62qo4Ef00ynGMVIj4vcZhmRqjq/qhZU1YIZM2ZMTaSSNIRMkCVp+KwF1lbV15v9T9BJmO9PcghA83NDq/7s1vmzgHU9ilWSho4JsiQNmar6HnBvkuc2RScAtwNXAoubssXAFc32lcCiJLslmQvMA27oYciSNFRc5k2ShtP/DVyS5BnAd4DfpzPosTzJ6cA9wGkAVXVbkuV0kuhNwBlVtbk/YUvS4Bs3QU4yG7gY+DngceD8qvpQkgNwvU1J6ouquhlYMMKhE0apvxRY2s2YJGm6mMgUi03AmVX1fOBY4IxmTU3X25zukrFfkiRJ09C4CXJVra+qm5rth+ksRj8T19uUJEnSNDSpm/SSzAGOBr7ODq63KUmSJA2iCSfISfYCPgm8rap+NFbVEcq2WW/TBeklSZI0iCaUICfZlU5yfElVfaop3qH1Nl2QXpIkSYNoIqtYBLgAWFVV728d2rLe5rlsu97mpUneDxyK621OWyuvet+Yx486+cweRSJJkjR1JrIO8nHA64GVSW5uyt5JJzF2vU1JkrrsqGVH9TsEaacyboJcVV9m5HnF4HqbkiRJmmZ81LQkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSUMoyZokK5PcnGRFU3ZAkmuT3NX83L9V/+wkq5PcmeTE/kUuSYPPBFmShtdLq2p+VS1o9s8CrquqecB1zT5JDgcWAUcAJwHnJdmlHwFL0jAwQZak6WMhsKzZXgac2iq/rKoeq6q7gdXAMb0PT5KGgwmyJA2nAj6X5MYkS5qyg6tqPUDz86CmfCZwb+vctU3ZUyRZkmRFkhUbN27sYuiSNNie3u8AJEnb5biqWpfkIODaJHeMUTcjlNU2BVXnA+cDLFiwYJvjkrSzcARZkoZQVa1rfm4ALqczZeL+JIcAND83NNXXArNbp88C1vUuWkkaLibIkjRkkuyZZO8t28ArgFuBK4HFTbXFwBXN9pXAoiS7JZkLzANu6G3UkjQ8nGIhScPnYODyJNDpxy+tqquTfANYnuR04B7gNICqui3JcuB2YBNwRlVt7k/oGhYr776np+0dNfewnrYnjcUEWZKGTFV9B3jBCOUPACeMcs5SYGmXQ5OkacEpFpIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSZIktbgOsromZNRjRfUwEkmSpIlzBFmSJElqcQRZkiT1Xa8fbS2NxRFkSZIkqcUEWZIkSWoxQZYkSZJaxk2Qk1yYZEOSW1tl5yS5L8nNzetVrWNnJ1md5M4kJ3YrcEmSJKkbJjKCfBFw0gjlH6iq+c3rMwBJDgcWAUc055yXZJepClaSJEnqtnET5Kr6EvDgBK+3ELisqh6rqruB1cAxOxCfJEmS1FM7Mgf5zUluaaZg7N+UzQTubdVZ25RtI8mSJCuSrNi4ceMOhCFJkiRNne1NkP8WeA4wH1gPvK8pH+nRaSM+Mq2qzq+qBVW1YMaMGdsZhjTEktFfkiSpb7brQSFVdf+W7ST/AHy62V0LzG5VnQWs2+7oJEmSuuSoZUf1vM2Vi1f2vE1N3nYlyEkOqar1ze6rgS0rXFwJXJrk/cChwDzghh2OUtrJrLzqfWMeP+rkM3sUiSRJO59xE+QkHwOOBw5MshZ4N3B8kvl0pk+sAd4IUFW3JVkO3A5sAs6oqs1diVySJEnqgnET5Kp63QjFF4xRfymwdEeCkiRJkvrFJ+lJ0hBKskuSbyb5dLN/QJJrk9zV/Ny/VdcHOEnSJJggS9JweiuwqrV/FnBdVc0Drmv2fYCTJG0HE2RJGjJJZgEnA//YKl4ILGu2lwGntsp9gJMkTcJ2rWIhSeqrDwJ/CuzdKjt4y+pCVbU+yUFN+Uzga616Yz7ACVgCcNhhh01xyNoRK+++p98hSDsVR5AlaYgk+U1gQ1XdONFTRijzAU6SNAZHkCVpuBwHnJLkVcDuwD5JPgrcv2WN+iSHABua+j7ASZImyRFkSRoiVXV2Vc2qqjl0br7716r6XToPalrcVFsMXNFsXwksSrJbkrn4ACdJGpcjyJI0PZwLLE9yOnAPcBr4ACdJ2h4myJI0pKrqeuD6ZvsB4IRR6vkAJ0maBKdYSJIkSS0myJIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS2uYiENoYz4cLQn1cgPSpMkSRPgCLIkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS0myJI0ZJLsnuSGJN9KcluS9zTlByS5Nsldzc/9W+ecnWR1kjuTnNi/6CVp8JkgS9LweQx4WVW9AJgPnJTkWOAs4Lqqmgdc1+yT5HBgEXAEcBJwXpJd+hG4JA0DE2RJGjLV8Uizu2vzKmAhsKwpXwac2mwvBC6rqseq6m5gNXBM7yKWpOFigixJQyjJLkluBjYA11bV14GDq2o9QPPzoKb6TODe1ulrm7Ktr7kkyYokKzZu3NjV+CVpkI2bICe5MMmGJLe2ypznJkl9VFWbq2o+MAs4JsmRY1TPSJcY4ZrnV9WCqlowY8aMKYpUkobP0ydQ5yLgw8DFrbIt89zOTXJWs/+Orea5HQp8PskvVtXmqQ1bkgRQVQ8luZ7O3OL7kxxSVeuTHEJndBk6I8azW6fNAtb1NlJp8Ky8+55+h6ABNe4IclV9CXhwq2LnuUlSnySZkWS/ZnsP4OXAHcCVwOKm2mLgimb7SmBRkt2SzAXmATf0NGhJGiITGUEeyVPmuSVpz3P7WqveiPPcoDPXDVgCcNhhh21nGJK0UzoEWNasRPE0YHlVfTrJV4HlSU4H7gFOA6iq25IsB24HNgFn+M2eJI1uexPk0Uxonht05roB5wMsWLBgxDqSpG1V1S3A0SOUPwCcMMo5S4GlXQ5NkqaF7V3F4v5mfhvOc5MkSdJ0sr0JsvPcJEmSNC2NO8UiyceA44EDk6wF3g2ci/PchkpGnP3SUSPPgpEkSdopjZsgV9XrRjnkPDdJkiRNOz5JT5IkSWoxQZYkSZJaTJAlSZKklqleB1mSJE0Dcx69tKftrdn9v/S0PWksjiBLkiRJLY4gS5I0SUctO6qn7a3saWuSHEGWJEmSWkyQJUmSpBYTZEmSJKnFBFmSJElqMUGWJEmSWkyQJUmSpBaXeRsWydjHq3oThyRJ0jTnCLIkSZLU4giyJEnqu14/2hp8vLVG5wiyJEmS1GKCLEmSJLU4xWKaWHnV+8aucHJv4pDUfUlmAxcDPwc8DpxfVR9KcgDwcWAOsAb47ar6QXPO2cDpwGbgLVV1TR9Cl6Sh4AiyJA2fTcCZVfV84FjgjCSHA2cB11XVPOC6Zp/m2CLgCOAk4Lwku/QlckkaAibIkjRkqmp9Vd3UbD8MrAJmAguBZU21ZcCpzfZC4LKqeqyq7gZWA8f0NGhJGiJOsZCkIZZkDnA08HXg4KpaD50kOslBTbWZwNdap61tyra+1hJgCcBhhx3Wxag1Wf1Y4UHamTmCLElDKslewCeBt1XVj8aqOkLZNk8Xqqrzq2pBVS2YMWPGVIUpSUPHBFmShlCSXekkx5dU1aea4vuTHNIcPwTY0JSvBWa3Tp8FrOtVrJI0bEyQJWnIJAlwAbCqqt7fOnQlsLjZXgxc0SpflGS3JHOBecANvYpXkoaNc5AlafgcB7weWJnk5qbsncC5wPIkpwP3AKcBVNVtSZYDt9NZAeOMqtrc86glaUiYIEvSkKmqLzPyvGKAE0Y5ZymwtGtBSdI04hQLSZIkqcUEWZIkSWoxQZYkSZJanIMs6Qkrr3rfqMd+6eS3j3lubbusriRJQ8kEWZIkqUeOWnZUT9tbuXhlT9ubLpxiIUmSJLWYIEuSJEktJsiSJElSi3OQJUmapJV339PT9ub0tDVJO5QgJ1kDPAxsBjZV1YIkBwAfp/P3eQ3w21X1gx0LU5IkSeqNqRhBfmlVfb+1fxZwXVWdm+SsZv8dU9COJEnSlJnz6KU9b3Nvzup5m5q8bsxBXggsa7aXAad2oQ1JkiSpK3Y0QS7gc0luTLKkKTu4qtYDND8PGunEJEuSrEiyYuPGjTsYhiRJkjQ1dnSKxXFVtS7JQcC1Se6Y6IlVdT5wPsCCBQt8BJckSZIGwg6NIFfVuubnBuBy4Bjg/iSHADQ/N+xokJKmSDL2S5IkbX+CnGTPJHtv2QZeAdwKXAksbqotBq7Y0SAlSZKkXtmRKRYHA5enM+r0dODSqro6yTeA5UlOB+4BTtvxMCVJkqTe2O4Euaq+A7xghPIHgBN2JChJkiSpX3zUtCRJktRigixJkiS1mCBLkiRJLSbIkiRJUsuOPihEktRjSS4EfhPYUFVHNmUHAB8H5gBrgN+uqh80x84GTgc2A2+pqmv6ELYkYOXd9/Q7BE2AI8iSNHwuAk7aquws4Lqqmgdc1+yT5HBgEXBEc855SXbpXaiSNHxMkCVpyFTVl4AHtypeCCxrtpcBp7bKL6uqx6rqbmA1naeeSpJGYYIsSdPDwVW1HqD5eVBTPhO4t1VvbVO2jSRLkqxIsmLjxo1dDVaSBpkJsiRNbxmhrEaqWFXnV9WCqlowY8aMLoclSYPLm/S6YOVV7xv12FEnn9nDSCTtRO5PckhVrU9yCLChKV8LzG7VmwWs63l0kjREHEGWpOnhSmBxs70YuKJVvijJbknmAvOAG/oQnyQNDUeQJWnIJPkYcDxwYJK1wLuBc4HlSU4H7gFOA6iq25IsB24HNgFnVNXmvgTeJUctO6rnba7seYuSeskEuccy4nTAJ9XIUwMl6QlV9bpRDp0wSv2lwNLuRSRJ04sJsiRJkzTn0Uv7HYKkLnIOsiRJktRigrw9krFfkiRJGlomyJIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS0u8yZJGmor776n523O6XmLknrJEWRJkiSpxQRZkiRJanGKhSRJUo/0+imMa3ra2vThCLIkSZLUYoIsSZIktTjFQlJ3jfP49ZWffu+Yx486+cypjEaSdipHLTuq522uXLyy521ONUeQJUmSpBZHkCUNtDD6CHRRPYxEkrSzMEGWJEmapvrxIJ3pYFonyCuvet+Yx53bKEnDr9fLZkma/pyDLEmSJLWYIEuSJEkt03qKxXjGuvkHvAFImq6cftU9/VhSCs7tQ5vScOjHFKS9e9wPdGNZua4lyElOAj4E7AL8Y1XZg0nqjXHWXmactZen4z+ee9Un9+OGoDk9b1HSWKbDjYFdmWKRZBfgb4BXAocDr0tyeDfaIhn9JUnqbZ8sSdNAt0aQjwFWV9V3AJJcBiwEbu9Se5Kk0dknS+qZXk/rWNOFa6Zq6r8qTPIa4KSq+sNm//XAr1TVm1t1lgBLmt3nAndOUfMHAt+fomv1gvF2l/F2l/FOzrOrakavG51In9yUd6tfbuv3n8FkGGt3GGt3GOv2GbFf7tYI8kjzG56SiVfV+cD5U95wsqKqFkz1dbvFeLvLeLvLeIfGuH0ydK9ffkogQ/RnYKzdYazdYaxTq1vLvK0FZrf2ZwHrutSWJGls9smSNAndSpC/AcxLMjfJM4BFwJVdakuSNDb7ZEmahK5MsaiqTUneDFxDZ0mhC6vqtm60NYKufj3YBcbbXcbbXcY7BPrcJ29tmP4MjLU7jLU7jHUKdeUmPUmSJGlY+ahpSZIkqcUEWZIkSWqZlglykv+Z5JYkNyf5XJJD+x3TWJL8ZZI7mpgvT7Jfv2MaS5LTktyW5PEkA7tMS5KTktyZZHWSs/odz1iSXJhkQ5Jb+x3LRCSZneQLSVY1/y+8td8xjSXJ7kluSPKtJt739Dumndkw9dHD1D8PQ988LP3yMPXJw9QfD1NfPC3nICfZp6p+1Gy/BTi8qt7U57BGleQVwL82N9L8L4CqekefwxpVkucDjwN/D7y9qlb0OaRtNI/W/XfgN+gscfUN4HVVNZBPDkvya8AjwMVVdWS/4xlPkkOAQ6rqpiR7AzcCpw7w7zfAnlX1SJJdgS8Db62qr/U5tJ3SMPXRw9Q/D3rfPEz98jD1ycPUHw9TXzwtR5C3dLyNPRlhQfxBUlWfq6pNze7X6KxROrCqalVVdeMJW1PpiUfrVtV/AFserTuQqupLwIP9jmOiqmp9Vd3UbD8MrAJm9jeq0VXHI83urs1roPuF6WyY+uhh6p+HoG8emn55mPrkYeqPh6kvnpYJMkCSpUnuBX4H+LN+xzMJfwB8tt9BTAMzgXtb+2sZ0A5j2CWZAxwNfL3PoYwpyS5JbgY2ANdW1UDHO90NaR9t/7xj7Je7bBj642Hpi4c2QU7y+SS3jvBaCFBV76qq2cAlwJv7G+348TZ13gVsohNzX00k3gE3oUfrasck2Qv4JPC2rUYFB05Vba6q+XRGAI9JMtBfmw67Yeqjh6l/HvK+2X65i4alPx6WvrgrDwrphap6+QSrXgpcBby7i+GMa7x4kywGfhM4oQZgYvgkfr+Dykfrdlkzf+yTwCVV9al+xzNRVfVQkuuBk4CBvwFnWA1THz1M/fOQ9832y10yjP3xoPfFQzuCPJYk81q7pwB39CuWiUhyEvAO4JSq+km/45kmfLRuFzU3WlwArKqq9/c7nvEkmbFl9YEkewAvZ8D7helsmPpo++cpZb/cBcPUHw9TXzxdV7H4JPBcOnfzfhd4U1Xd19+oRpdkNbAb8EBT9LVBvaMbIMmrgb8GZgAPATdX1Yl9DWoESV4FfJAnH627tL8RjS7Jx4DjgQOB+4F3V9UFfQ1qDEleDPwfYCWdv2cA76yqz/QvqtEl+SVgGZ3/F54GLK+q/9HfqHZew9RHD1P/PAx987D0y8PUJw9TfzxMffG0TJAlSZKk7TUtp1hIkiRJ28sEWZIkSWoxQZYkSZJaTJAlSZKkFhNkSZIkqcUEWZIkSWoxQZYkSZJaTJAlSZKkFhNkSZIkqcUEWZIkSWoxQZYkSZJaTJAlSZKkFhNk9VyS65P8Yb/jGE+S/y/J26boWscluSvJI0lOTfLZJIubY29I8uVW3UryC9vZzhPnJnl/kjdNRfySeivJRUn+vNl+SZI7W8eem+SbSR5O8pYkeyT5lyQ/TPJP/Yt6cG3dz07RNX8nyeem8poaHE/vdwAaDknOAX6hqn6337FA9+NJMgP4PWC7EtUR/A/gw1X1oWb/n6foumP5S+CGJBdW1X/0oD1JXVBV/wd4bqvoT4Hrq+pogCSvBw4GnlVVm3oZW5LjgY9W1axetjsIquoS4JJ+x6HucARZGtkbgM9U1U+n6HrPBm6bomtNSFWtB+4ATullu5K6buv+5NnAv29PcpzEgTJpBCbIeook70hyX/PV3Z1JTkhyEvBO4LXNFIFvNXV/P8mqpu53krxxq2stTHJzkh8l+XZzna3bOyTJLUnePgXx7JvkgiTrm3P+PMkuzbE3JPm3JH/dfA15R5ITxvhVvBL4YiuObb6e22o6w0VJ/ibJVU2sX0/ynObYt4GfB/6liXe3iU4zaeq+N8k9Se5P8ndJ9mgd/2/N+12X5A9GuMT1wMnjtSOpv5IcneSmpv/4OLB769jxSdY22/8KvBT4cNOffAz4M57sD09v6v1B0z//IMk1SZ7dul4lOSPJXcBdTdlvNv31Q0m+kuSXWvXXJHl701f/MMnHk+yeZE/gs8ChTduPJDl0hPf2qiS3N+/tvi39fZL9k3w6ycYmzk8nmdU67/qmH/9Kc+1/SfKsJJc0nyvfSDJnq/f1lubz6PtJ/jLJiHlOkucluTbJg81ny2+P8WfzhuaaDye5O8nvtMq/3Gz/aet38EiSnyW5qDk21mfTLyT5YvN7/X7zZ69BUFW+fFFV0PkK717g0GZ/DvCcZvscOl+jteufDDwHCPDrwE+AFzbHjgF+CPwGnX+IzQSe1xy7HvjD5vr/DiyZonj+Gfh7YE/gIOAG4I3NsTcAm4A/AXYFXtvEd8AobW8Efrm1/wbgy1vVKTrTPAAuAh5s3vfT6Xztdlmr7hrg5a3964E/HOnaW133g8CVwAHA3sC/AP9fc+wk4H7gyOY9X9o+t6nzn4Cb+v3/li9fvkZ/Ac8Avtvqn14D/Az48+b48cDaVv0n+o9m/yn9IXAqsBp4ftMf/XfgK63jBVzb9Ct7AC8ENgC/AuwCLG76rN2a+mua/vTQ5pxVwJtGim2U97ceeEmzvT9Pfk48C/jPwDOb/u2fgH/e6n2upvM5sy9wO53PjJc37+ti4CNbva8vNDEe1tTdpp9t+st7gd9vrvNC4PvAESPEvifwI+C5zf4hW+oxwudCUz4bWAe8qtn/Z0b/bPoY8C46n5O7Ay/u9/+PvjovR5DVthnYDTg8ya5Vtaaqvj1a5aq6qqq+XR1fBD4HvKQ5fDpwYVVdW1WPV9V9VXVH6/TD6XR+766q83c0niQH0xn1fVtV/biqNgAfABa1qm0APlhVP6uqjwN3Mvro6n7Aw6O991F8qqpuqM7XnJcA8yd5/lMkCfBfgT+pqger6mHgL3jyPf02nQ+HW6vqx3Q+JLf2MJ33ImlwHUsnMd7SP30C+MYOXO+NdP4hvarpj/4CmN8eRW6OP1idaWT/Ffj7qvp6VW2uqmXAY01cW/xVVa2rqgfp/EN9/iTi+RmdfnyfqvpBVd0EUFUPVNUnq+onTf+2lM5gS9tHms+ZH9IZrf52VX2+eV//BBy9Vf3/1byve+gMMLxuhHh+E1hTVR+pqk1NPJ+k8w+TkTwOHJlkj6paX1WjTpdrvuH7Z+BDVfWZCXw2/YzOFJlDq+rRqprSGwm1/UyQ9YSqWg28jU6itSHJZSN9XbZFklcm+VrzFdVDwKuAA5vDs4FRk2vgd4D7gE9MUTzPpvMBs775ivAhOv9iP6hV576qzj/ZG9+lMyIykh/QGdGYjO+1tn8C7DXJ87c2g87Iyo2t93R1Uw6d2O9t1f/uCNfYG3hoB+OQ1F2HMnL/tL2eDXyo1W88SOebvpmtOvduVf/MLfWbc2bz1P5xR/q3/0zn8+G7zXSCXwVI8swkf5/ku0l+BHwJ2G/L9IPG/a3tn46wv3UcW/eJI/XxzwZ+Zav3+zvAz21dsRl8eC3wJjqfL1cled4Y7/UC4M6q+l+ttsb6bPpTOn82NyS5LSNPlVMfmCDrKarq0qp6MZ2/1AVs+Uve7rhJshudf3G/Fzi4qvYDPkPnLzp0OqnnjNHUOXS+0rp0q85wu+Jp2nsMOLCq9mte+1TVEa06M5tR2S0Oo/M12EhuAX6xtf9jOskqAEm26Ui74Pt0PgCOaL2nfatqywfCejofYlscNsI1ng98q8txStox6xm5f9pe99L5Cn+/1muPqvpKq05tVX/pVvWfWVUfm0BbW/fF21ao+kZVLaSTFP4zsLw5dCadqXS/UlX7AL/WlGebi0zc1n3iSH38vcAXt3q/e1XVH40S/zVV9Rt0plfcAfzDSPWSnEXn/Zy+VVujfjZV1feq6r9W1aF0Rv7Py3Yu86mpZYKsJ6SztubLmuT3UTrJ2ebm8P3AnNYND8+gM/1hI7ApySuBV7QudwHw++ncVPe0JDO3+lf3z4DT6MzJ+t8j3UgxmXiqs2LD54D3JdmnafM5Sdpf1x0EvCXJrklOo5M8fmaUX8dneOpXfd8CjkgyP8nujDydYUpV1eN0OuIPJDkIoPk9nthUWQ68IcnhSZ4JvHuEy/w6na8lJQ2ur9K5R+ItSZ6e5D/RuZ9he/0dcHaSI+CJm8ROG6P+PwBvSvIr6dgzyclJJvIt2v3As5LsO9LBJM9IZ73gfavqZ3Tm827px/em068/lOQARu7DJuu/pXPz32zgrcBIN719GvjFJK9vPg92TfLLSZ4/QvwHJzklnRsSHwMeacXfrvdK4C3AqdVa/Wi8z6Ykp+XJGxN/QOcfHNtcX71ngqy23YBz6Yxcfo9OQvnO5tiWxecfSHJTM1/sLXSStB8A/4XOzWQAVNUNdG6A+ACdm+G+SGcUmFad/6BzE9lBwIUjJMkTjqfZ/j06ifvtTUyfoPMv/i2+DsxrrrcUeE1VPTDK7+Ji4FXNfDKq6t/prGX8eTp3ffdqntg76Nyk8rXmK8jP06yHWlWfpTPH7l+bOv/aPjHJIXTmev9zj2KVtB1afeEb6PRdrwU+tQPXu5zOt22XNf3GrXTmwY5WfwWdecgfbtpf3cQykbbuoHOj2XeaKQQjTWl4PbCmieVNwJb16z9I5ybB7wNfozOFbEddAdwI3AxcRWewZuuYH6YzoLOIzgjz9+j8vnYb4XpPozPSvY7OVJVfB/54hHqvpTP9bVWeXMni75pjY302/TLw9SSP0PkMfWtV3T25t6xuyFOnPEnTU5I30Lmb+cWTOOcvgA1V9cFuxdVNSd5H54aW8/odiyR1W5IC5jX3r0g7xAXCpVFU1TvHrzW4qurMfscgSdIwcoqFJEmS1OIUC0mSJKnFEWRJkiSpZSDmIB944IE1Z86cfochSV114403fr+qZoxfs//slyXtDEbrlwciQZ4zZw4rVqzodxiS1FVJduTpaD1lvyxpZzBav+wUC0mSJKnFBFmSJElqMUGWJEmSWkyQJUmSpBYTZEmSJKnFBFmSJElqMUGWJEmSWkyQJUmSpBYTZEmSJKllIJ6kJ534iRNZ9+N1PW3z0D0P5ZrXXNPTNiVp2Mw566oxj6859+QeRSL1jgmyBsK6H69j5eKVPW3zqGVH9bQ9SZI0HJxiIUmSJLWYIEuSJEktJsiSJElSiwmyJEmS1GKCLEmSJLWYIEuSJEktJsiSJElSiwmyJEmS1GKCLEmSJLWYIEuSJEkt4z5qOslzgY+3in4e+DPg4qZ8DrAG+O2q+kFzztnA6cBm4C1Vdc2URi1JkqatOWddNebxNeee3KNItLMadwS5qu6sqvlVNR94EfAT4HLgLOC6qpoHXNfsk+RwYBFwBHAScF6SXboTviRJkjS1JjvF4gTg21X1XWAhsKwpXwac2mwvBC6rqseq6m5gNXDMFMQqSZIkdd1kE+RFwMea7YOraj1A8/OgpnwmcG/rnLVN2VMkWZJkRZIVGzdunGQYkiRJUneMOwd5iyTPAE4Bzh6v6ghltU1B1fnA+QALFizY5rjUbYfueShHLTuqp+1d8xqn40uSNOgmnCADrwRuqqr7m/37kxxSVeuTHAJsaMrXArNb580C1u14qNLU6nWy2stkXJIkbb/JTLF4HU9OrwC4EljcbC8GrmiVL0qyW5K5wDzghh0NVJIkSeqFCY0gJ3km8BvAG1vF5wLLk5wO3AOcBlBVtyVZDtwObALOqKrNUxq1JEmS1CUTSpCr6ifAs7Yqe4DOqhYj1V8KLN3h6CRJkqQe80l6kiRJUosJsiRJktRigixJkiS1mCBL0gBKMjvJF5KsSnJbkrc25eckuS/Jzc3rVa1zzk6yOsmdSU5slb8oycrm2F8lGWm9eklSYzLrIEuSemcTcGZV3ZRkb+DGJNc2xz5QVe9tV05yOJ2nnR4BHAp8PskvNqsI/S2wBPga8BngJOCzPXofkjR0HEGWpAFUVeur6qZm+2FgFTBzjFMWApdV1WNVdTewGjimeZDTPlX11aoq4GLg1O5GL0nDzQRZkgZckjnA0cDXm6I3J7klyYVJ9m/KZgL3tk5b25TNbLa3LpckjcIEWZIGWJK9gE8Cb6uqH9GZLvEcYD6wHnjflqojnF5jlI/U1pIkK5Ks2Lhx446GLklDywRZkgZUkl3pJMeXVNWnAKrq/qraXFWPA/8AHNNUXwvMbp0+C1jXlM8aoXwbVXV+VS2oqgUzZsyY2jcjSUPEBFmSBlCz0sQFwKqqen+r/JBWtVcDtzbbVwKLkuyWZC4wD7ihqtYDDyc5trnm7wFX9ORNSNKQchULSRpMxwGvB1YmubkpeyfwuiTz6UyTWAO8EaCqbkuyHLidzgoYZzQrWAD8EXARsAed1StcwUKSxmCCLEkDqKq+zMjzhz8zxjlLgaUjlK8Ajpy66CRpenOKhSRJktRigixJkiS1mCBLkiRJLSbIkiRJUosJsiRJktRigixJkiS1mCBLkiRJLSbIkiRJUosJsiRJktQyoQQ5yX5JPpHkjiSrkvxqkgOSXJvkrubn/q36ZydZneTOJCd2L3xJkiRpak10BPlDwNVV9TzgBcAq4CzguqqaB1zX7JPkcGARcARwEnBekl2mOnBJkiSpG8ZNkJPsA/wacAFAVf1HVT0ELASWNdWWAac22wuBy6rqsaq6G1gNHDO1YUuSJEndMZER5J8HNgIfSfLNJP+YZE/g4KpaD9D8PKipPxO4t3X+2qZMkiRJGngTSZCfDrwQ+NuqOhr4Mc10ilFkhLLaplKyJMmKJCs2btw4oWAlSZKkbptIgrwWWFtVX2/2P0EnYb4/ySEAzc8NrfqzW+fPAtZtfdGqOr+qFlTVghkzZmxv/JIkSdKUGjdBrqrvAfcmeW5TdAJwO3AlsLgpWwxc0WxfCSxKsluSucA84IYpjVqSJEnqkqdPsN7/DVyS5BnAd4Dfp5NcL09yOnAPcBpAVd2WZDmdJHoTcEZVbZ7yyCVJkqQumFCCXFU3AwtGOHTCKPWXAku3PyxJkiSpP3ySniRJktRigixJkiS1mCBLkiRJLSbIkiRJUosJsiRJktRigixJkiS1mCBLkiRJLRN9UIh2Iid+4kTW/Xibp4N31aF7HtrT9iRJkkZjgqxtrPvxOlYuXtnvMCRJkvrCKRaSJElSiwmyJEmS1GKCLEmSJLWYIEuSJEktJsiSNICSzE7yhSSrktyW5K1N+QFJrk1yV/Nz/9Y5ZydZneTOJCe2yl+UZGVz7K+SpB/vSZKGhQmyJA2mTcCZVfV84FjgjCSHA2cB11XVPOC6Zp/m2CLgCOAk4LwkuzTX+ltgCTCveZ3UyzciScPGBFmSBlBVra+qm5rth4FVwExgIbCsqbYMOLXZXghcVlWPVdXdwGrgmCSHAPtU1VerqoCLW+dIkkZggixJAy7JHOBo4OvAwVW1HjpJNHBQU20mcG/rtLVN2cxme+tySdIoTJAlaYAl2Qv4JPC2qvrRWFVHKKsxykdqa0mSFUlWbNy4cfLBStI0YYIsSQMqya50kuNLqupTTfH9zbQJmp8bmvK1wOzW6bOAdU35rBHKt1FV51fVgqpaMGPGjKl7I5I0ZEyQJWkANStNXACsqqr3tw5dCSxuthcDV7TKFyXZLclcOjfj3dBMw3g4ybHNNX+vdY4kaQRP73cAkqQRHQe8HliZ5Oam7J3AucDyJKcD9wCnAVTVbUmWA7fTWQHjjKra3Jz3R8BFwB7AZ5uXJGkUJsiSNICq6suMPH8Y4IRRzlkKLB2hfAVw5NRFJ0nT24SmWCRZ0ywyf3OSFU3ZpBerlyRJkgbdZOYgv7Sq5lfVgmZ/exarlyRJkgbajtykN6nF6negHUmSJKlnJpogF/C5JDcmWdKUTXax+qdwvU1JkiQNoonepHdcVa1LchBwbZI7xqg7oUXpq+p84HyABQsWjLhovSRJktRrExpBrqp1zc8NwOV0pkxMdrF6SZIkaeCNmyAn2TPJ3lu2gVcAtzLJxeqnOnBJkiSpGyYyxeJg4PLOA5h4OnBpVV2d5BtMfrF6aWQfOAp+eE9v29z3MPiTlb1tU5IkDbxxE+Sq+g7wghHKH2CSi9VLo/rhPXDOD3vb5jn79rY9SZI0FHZkmTdJkiRp2jFBliRJklpMkCVJkqQWE2RJkiSpxQRZkiRJajFBliRJklpMkCVJkqSWiTwoRJIkDYA5Z1015vE1557co0ik6c0EWTuvfQ/r6cNCrn76Lj1rS5IkbT8TZO28evyY6Zk+uU+SpKHgHGRJkiSpxQRZkiRJajFBliRJklpMkCVJkqQWE2RJkiSpxQRZkiRJajFBliRJklpMkCVJkqQWHxQi9dBRy47qaXuH7nko17zmmp62KUnSsDNBlnpo5eLePr2v1wm5JEnTgVMsJEmSpJYJJ8hJdknyzSSfbvYPSHJtkruan/u36p6dZHWSO5Oc2I3AJUmSpG6YzAjyW4FVrf2zgOuqah5wXbNPksOBRcARwEnAeUl2mZpwJWnnkeTCJBuS3NoqOyfJfUlubl6vah0bcXAiyYuSrGyO/VWS9Pq9SNIwmVCCnGQWcDLwj63ihcCyZnsZcGqr/LKqeqyq7gZWA8dMSbSStHO5iM5Aw9Y+UFXzm9dnYNzBib8FlgDzmtdI15QkNSZ6k94HgT8F9m6VHVxV6wGqan2Sg5rymcDXWvXWNmVPkWQJnQ6bww47bHJRq6uuvvc+OGff3ja6r/8PSFurqi8lmTPB6k8MTgB3J1kNHJNkDbBPVX0VIMnFdAY0Pjv1EUvS9DBugpzkN4ENVXVjkuMncM2RvrqrbQqqzgfOB1iwYME2x9U/MzdthnN+2O8wJI3uzUl+D1gBnFlVP2D0wYmfNdtbl0uSRjGRKRbHAac0oxCXAS9L8lHg/iSHADQ/NzT11wKzW+fPAtZNWcSStHP7W+A5wHxgPfC+pny0wYkJDVpA55u9JCuSrNi4ceMUhCpJw2ncBLmqzq6qWVU1h878tn+tqt8FrgQWN9UWA1c021cCi5LslmQunfluN0x55JK0E6qq+6tqc1U9DvwDT97jMdrgxNpme+vyka59flUtqKoFM2bMmPrgJWlI7Mg6yOcCv5HkLuA3mn2q6jZgOXA7cDVwRlVt3tFAJUlPfGO3xauBLStcjDg40dwr8nCSY5vVK36PJwc0JEkjmNST9KrqeuD6ZvsB4IRR6i0Flu5gbJK0U0vyMeB44MAka4F3A8cnmU9nmsQa4I3QGZxIsmVwYhNPHZz4IzorYuxB5+Y8b9CTpDH4qGlJGlBV9boRii8Yo/6IgxNVtQI4cgpDk5403qpH3vStIeSjpiVJkqQWE2RJkiSpxQRZkiRJajFBliRJklq8SU+SJO305px11ZjH15x7co8i0SBwBFmSJElqMUGWJEmSWkyQJUmSpBYTZEmSJKnFBFmSJElqMUGWJEmSWlzmTZIkDZdz9h3n+A97E4emLUeQJUmSpBYTZEmSJKnFBFmSJElqMUGWJEmSWkyQJUmSpBYTZEmSJKnFBFmSJElqMUGWJEmSWkyQJUmSpJZxE+Qkuye5Icm3ktyW5D1N+QFJrk1yV/Nz/9Y5ZydZneTOJCd28w1IkiRJU2kiI8iPAS+rqhcA84GTkhwLnAVcV1XzgOuafZIcDiwCjgBOAs5LsksXYpckSZKm3LgJcnU80uzu2rwKWAgsa8qXAac22wuBy6rqsaq6G1gNHDOVQUuSJEndMqE5yEl2SXIzsAG4tqq+DhxcVesBmp8HNdVnAve2Tl/blG19zSVJViRZsXHjxh14C5IkSdLUefpEKlXVZmB+kv2Ay5McOUb1jHSJEa55PnA+wIIFC7Y5Lk07+x4G5+zb0yavfrqzmyRJmqwJJchbVNVDSa6nM7f4/iSHVNX6JIfQGV2Gzojx7NZps4B1UxGsNNT+ZGXPm5zZ44RckqTpYCKrWMxoRo5JsgfwcuAO4EpgcVNtMXBFs30lsCjJbknmAvOAG6Y4bkmSJKkrJjKCfAiwrFmJ4mnA8qr6dJKvAsuTnA7cA5wGUFW3JVkO3A5sAs5opmhIkiRJA2/cBLmqbgGOHqH8AeCEUc5ZCizd4egkSZKkHvNJepIkSVKLCbIkSZLUYoIsSQMqyYVJNiS5tVV2QJJrk9zV/Ny/dezsJKuT3JnkxFb5i5KsbI79VZKRluOUJDVMkCVpcF1EZ1nNtrOA66pqHnBds0+Sw4FFwBHNOec1N1cD/C2whM6qQvNGuKYkqcUEWZIGVFV9CXhwq+KFwLJmexlwaqv8sqp6rKruBlYDxzTr1O9TVV+tqgIubp0jSRqBCbIkDZeDq2o9QPPzoKZ8JnBvq97apmxms711+TaSLEmyIsmKjRs3TnngkjQsTJAlaXoYaV5xjVG+bWHV+VW1oKoWzJgxY0qDk6RhMqlHTUvdcty5/8p9D/20p23O3G8P/u2sl/W0TWkK3J/kkKpa30yf2NCUrwVmt+rNAtY15bNGKJckjcIEWQPhvod+yppzT+5pm3POuqqn7UlT5EpgMXBu8/OKVvmlSd4PHErnZrwbqmpzkoeTHAt8Hfg94K97H7YkDQ8T5CFw4idOZN2Pezfgs7JnLUkaS5KPAccDByZZC7ybTmK8PMnpwD3AaQBVdVuS5cDtwCbgjKra3Fzqj+isiLEH8NnmJUkahQnyEFj343WsXNzDtPWcfXvXlqRRVdXrRjl0wij1lwJLRyhfARw5haFJ0rTmTXqSJElSiyPIkiRNF2N9A3jOD3sXhzTkHEGWJEmSWkyQJUmSpBYTZEmSJKnFBFmSJElqMUGWJEmSWlzFQjutmfvt0dOn6floa0mShoMJsnZavU5WfbS1JEnDwSkWkiRJUsu4CXKS2Um+kGRVktuSvLUpPyDJtUnuan7u3zrn7CSrk9yZ5MRuvgFJkiRpKk1kBHkTcGZVPR84FjgjyeHAWcB1VTUPuK7Zpzm2CDgCOAk4L8ku3QhekiRJmmrjzkGuqvXA+mb74SSrgJnAQuD4ptoy4HrgHU35ZVX1GHB3ktXAMcBXpzp4dcdxj36I+3o8X3bmfnv0tD1JkqTRTOomvSRzgKOBrwMHN8kzVbU+yUFNtZnA11qnrW3Ktr7WEmAJwGGHHTbpwNU99zGDNeee3O8wJEmS+mLCN+kl2Qv4JPC2qvrRWFVHKKttCqrOr6oFVbVgxowZEw1DkiRJ6qoJJchJdqWTHF9SVZ9qiu9Pckhz/BBgQ1O+FpjdOn0WsG5qwpUkSZK6ayKrWAS4AFhVVe9vHboSWNxsLwauaJUvSrJbkrnAPOCGqQtZkiRJ6p6JzEE+Dng9sDLJzU3ZO4FzgeVJTgfuAU4DqKrbkiwHbqezAsYZVbV5qgOXJEmSumEiq1h8mZHnFQOcMMo5S4GlOxCXJEmS1Bc+alqSJGk85+w7zvEf9iYO9YSPmpYkSZJaTJAlSZKkFhNkSZIkqcU5yNI0d9Syo3rW1qF7Hso1r7mmZ+1JktQNJsjSNLdy8cqetdXLZFzqtzlnXTXm8TXnntyjSCRNNadYSJIkSS2OIEuSpK4Z65ulXn7DJU2GCfIQuPre+8Zff3FKXdrDtiRJkgaLCfIQmLlpc28XIB9nXp0kSdJ0ZoIs9cjM/fYY96aeKW+TD/FvPW1RkqThZ4Is9ci/nfWynrfZ64RckqTpwFUsJGkIJVmTZGWSm5OsaMoOSHJtkruan/u36p+dZHWSO5Oc2L/IJWnwmSBL0vB6aVXNr6oFzf5ZwHVVNQ+4rtknyeHAIuAI4CTgvCS79CNgSRoGJsiSNH0sBJY128uAU1vll1XVY1V1N7AaOKb34UnScDBBlqThVMDnktyYZElTdnBVrQdofh7UlM8E7m2du7Ype4okS5KsSLJi48aNXQxdkgabN+lJ0nA6rqrWJTkIuDbJHWPUzQhltU1B1fnA+QALFizY5rg0LMZ77L0PKNF4TJAlaQhV1brm54Ykl9OZMnF/kkOqan2SQ4ANTfW1wOzW6bOAdT0NWNKIxlptaM25J/cwErU5xUKShkySPZPsvWUbeAVwK3AlsLipthi4otm+EliUZLckc4F5wA29jVqShocjyJI0fA4GLk8CnX780qq6Osk3gOVJTgfuAU4DqKrbkiwHbgc2AWdU1eb+hC5Jg88EWZKGTFV9B3jBCOUPACeMcs5SYGmXQ5OkaWHcKRZJLkyyIcmtrTIXo5ckSdK0NJER5IuADwMXt8q2LEZ/bpKzmv13bLUY/aHA55P8ol/lSX10zr49a+rqp/vsCUnS8Bs3Qa6qLyWZs1XxQuD4ZnsZcD3wDlqL0QN3J9myGP1XpyheSZN1zg971tTMHibjkiR1y/auYrFDi9GDC9JLkiRpME31Mm8TWoweOgvSV9WCqlowY8aMKQ5DkiRJ2j7bmyDf3yxCj4vRS5IkaTrZ3mXetixGfy7bLkZ/aZL307lJz8XoJUkaAD5+WZq4cRPkJB+jc0PegUnWAu+mkxjvlIvRn/iJE1n3494OittlSdIQGuum1R7ePCtp8iayisXrRjm0Uy5Gv+7H63r/r2xXBpAkSeqZqb5JT5IkSRpqPmp6CBz36Ie476yretbezP326FlbkiRJg8YEeQjcxwzWnHtyv8OQJEmj8CbI6cUpFpIkSVKLCbIkSZLUYoIsSZIktZggS5IkSS3epDdJV997Xx/WJb60x+1JkiTtvEyQJ2nmps29fwJSD5d4kyRJA2K8ATmfyNg1TrGQJEmSWhxBlqaxmfvtwZxePmSGD/FvPWtNkqTuMEGWprF/O+tlPW2vl8m4JEnd4hQLSZIkqcURZEnS0Bvr24s1557cw0gkTQcmyJKm1FHLjuppe4fueSjXvOaanrYp7ajx/p6sXLyyR5FIGokJsqQp1esP9l4n5JKk6c85yJIkSVKLI8iTdNyjH+K+Ht+pP3O/PXranrRDevykyaufvktP25MkTX8myJN0HzO84UMaS4+f7DSz549+l6TBsL1z2cdbktM8xwRZkjTd+bheSZM09AnyiZ84kXU/XtfDFs/tYVuSJEnqtaFPkNf9eF1P75r3SWHS6Hr9aGvoPN76Ry4tJ0maQl1LkJOcBHwI2AX4x6rqytDrv33vRz2+KejSHrYlDZdeP9oaOv9oXXP3PT1t80d7/Kin7U2FXvXJw8g1iaWtjJVX7SRTkrqSICfZBfgb4DeAtcA3klxZVbdPdVv7/PSh3v5hOYIsDZ4ed9j7DNmNgb3sk735R9J00K0R5GOA1VX1HYAklwELgSnvjI/jop4uu+aSa9Jg6cu0jt0v4t962uIO61mfPC5vmJOG2s6yckaqauovmrwGOKmq/rDZfz3wK1X15ladJcCSZve5wJ1THggcCHy/C9ftBmPtDmPtjmGKFQYn3mdX1YxeNzqRPrkp70W/vCMG5c9xJIMa26DGBca2PQY1Lhje2Ebsl7s1gpwRyp6SiVfV+cD5XWq/E0SyoqoWdLONqWKs3WGs3TFMscLwxdsF4/bJ0Jt+eUcM8p/joMY2qHGBsW2PQY0Lpl9s3XrU9Fpgdmt/FtDLtdgkSU+yT5akSehWgvwNYF6SuUmeASwCruxSW5KksdknS9IkdGWKRVVtSvJm4Bo6SwpdWFW3daOtcQzsV4UjMNbuMNbuGKZYYfjinVID1CfvqEH+cxzU2AY1LjC27TGoccE0i60rN+lJkiRJw6pbUywkSZKkoWSCLEmSJLVM+wQ5yf9MckuSm5N8Lsmh/Y5pNEn+MskdTbyXJ9mv3zGNJslpSW5L8niSQV3W5aQkdyZZneSsfsczmiQXJtmQ5NZ+xzKeJLOTfCHJqubP/639jmk0SXZPckOSbzWxvqffMWnHDWqfPsj996D114PcNw9qfzzIfe+g97VJdknyzSSfnsx50z5BBv6yqn6pquYDnwb+rM/xjOVa4Miq+iXg34Gz+xzPWG4F/hPwpX4HMpLWo3VfCRwOvC7J4f2NalQXASf1O4gJ2gScWVXPB44Fzhjg3+tjwMuq6gXAfOCkJMf2NyRNgUHt0we5/x6Y/noI+uaLGMz+eJD73kHva98KrJrsSdM+Qa6qH7V292SExfEHRVV9rqo2Nbtfo7NW6UCqqlVVNWhP2Wp74tG6VfUfwJZH6w6cqvoS8GC/45iIqlpfVTc12w/T6XRm9jeqkVXHI83urs1rYP/+a2IGtU8f5P57wPrrge6bB7U/HuS+d5D72iSzgJOBf5zsudM+QQZIsjTJvcDvMDijDeP5A+Cz/Q5iiM0E7m3tr2VAOpPpIskc4Gjg630OZVTNV2s3AxuAa6tqYGPVxA1Bn27/PTr75h00iH3vAPe1HwT+FHh8sidOiwQ5yeeT3DrCayFAVb2rqmYDlwBvHuRYmzrvovN1yiX9i3RisQ6wCT1aV9snyV7AJ4G3bTWiN1CqanPzVfws4JgkR/Y5JE3AoPbpg9x/D1F/bd+8Awa17x3EvjbJbwIbqurG7Tm/Kw8K6bWqevkEq14KXAW8u4vhjGm8WJMsBn4TOKH6vEj1JH6vg8hH63ZJkl3pdNCXVNWn+h3PRFTVQ0mupzO3cKBuvtG2BrVPH+T+e4j6a/vm7TQMfe+A9bXHAackeRWwO7BPko9W1e9O5ORpMYI8liTzWrunAHf0K5bxJDkJeAdwSlX9pN/xDDkfrdsFSQJcAKyqqvf3O56xJJmxZSWBJHsAL2eA//5rYga1T7f/njD75u0wyH3voPa1VXV2Vc2qqjl0/j/714kmx7ATJMjAuc3XTLcAr6BzN+Og+jCwN3BtOksY/V2/AxpNklcnWQv8KnBVkmv6HVNbc7PMlkfrrgKWD+qjdZN8DPgq8Nwka5Oc3u+YxnAc8HrgZc3/ozc3/zofRIcAX2j+7n+Dzry4SS3zo4E0qH36wPbfg9RfD3rfPMD98SD3vdOyr/VR05IkSVLLzjCCLEmSJE2YCbIkSZLUYoIsSZIktZggS5IkSS0myJIkSVKLCbIkSZLUYoIsSZIktfz/ARnH26KbENAUAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from https://matplotlib.org/gallery/statistics/histogram_multihist.html\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "n_bins = 10\n",
    "x = np.random.randn(1000, 3)\n",
    "\n",
    "fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(10, 8))\n",
    "ax0, ax1, ax2, ax3 = axes.flatten()\n",
    "\n",
    "colors = ['red', 'tan', 'lime']\n",
    "ax0.hist(x, n_bins, histtype='bar', color=colors, label=colors)\n",
    "ax0.legend(prop={'size': 10})\n",
    "ax0.set_title('bars with legend')\n",
    "\n",
    "ax1.hist(x, n_bins, histtype='bar', stacked=True)\n",
    "ax1.set_title('stacked bar')\n",
    "\n",
    "ax2.hist(x, n_bins, histtype='step', stacked=True, fill=False)\n",
    "ax2.set_title('stack step (unfilled)')\n",
    "\n",
    "# Make a multiple-histogram of data-sets with different length.\n",
    "x_multi = [np.random.randn(n) for n in [10000, 5000, 2000]]\n",
    "ax3.hist(x_multi, n_bins, histtype='bar')\n",
    "ax3.set_title('different sample sizes')\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from https://matplotlib.org/gallery/lines_bars_and_markers/cohere.html\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "dt = 0.01\n",
    "t = np.arange(0, 30, dt)\n",
    "nse1 = np.random.randn(len(t))  # white noise 1\n",
    "nse2 = np.random.randn(len(t))  # white noise 2\n",
    "\n",
    "# Two signals with a coherent part at 10Hz and a random part\n",
    "s1 = np.sin(2 * np.pi * 10 * t) + nse1\n",
    "s2 = np.sin(2 * np.pi * 10 * t) + nse2\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize=(10, 5))\n",
    "axs[0].plot(t, s1, t, s2)\n",
    "axs[0].set_xlim(0, 2)\n",
    "axs[0].set_xlabel('time')\n",
    "axs[0].set_ylabel('s1 and s2')\n",
    "axs[0].grid(True)\n",
    "\n",
    "cxy, f = axs[1].cohere(s1, s2, 256, 1. / dt)\n",
    "axs[1].set_ylabel('coherence')\n",
    "\n",
    "fig.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true,
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from http://matplotlib.org/examples/mplot3d/subplot3d_demo.html\n",
    "\n",
    "from mpl_toolkits.mplot3d.axes3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# imports specific to the plots in this example\n",
    "import numpy as np\n",
    "from matplotlib import cm\n",
    "from mpl_toolkits.mplot3d.axes3d import get_test_data\n",
    "\n",
    "# Twice as wide as it is tall.\n",
    "fig = plt.figure(figsize=(15, 5))\n",
    "\n",
    "#---- First subplot\n",
    "ax = fig.add_subplot(1, 2, 1, projection='3d')\n",
    "X = np.arange(-5, 5, 0.25)\n",
    "Y = np.arange(-5, 5, 0.25)\n",
    "X, Y = np.meshgrid(X, Y)\n",
    "R = np.sqrt(X**2 + Y**2)\n",
    "Z = np.sin(R)\n",
    "surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,\n",
    "                       linewidth=0, antialiased=False)\n",
    "ax.set_zlim3d(-1.01, 1.01)\n",
    "\n",
    "fig.colorbar(surf, shrink=0.5, aspect=10)\n",
    "\n",
    "#---- Second subplot\n",
    "ax = fig.add_subplot(1, 2, 2, projection='3d')\n",
    "X, Y, Z = get_test_data(0.05)\n",
    "ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Customization in matplotlib\n",
    "\n",
    "* matplotlib is infinitely customizable\n",
    "* As in most modern plotting environments, you can do virtually anything\n",
    "* You just have to be willing to spend enough time on it"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "## `matplotlib`\n",
    "\n",
    "**Pros**\n",
    "* Provides low-level control over virtually every element of a plot\n",
    "* Completely object-oriented API; plot components can be easily modified\n",
    "* Close integration with numpy\n",
    "* Extremely active community\n",
    "* Tons of functionality (figure compositing, layering, annotation, coordinate transformations, color mapping, etc.)\n",
    "\n",
    "**Cons**\n",
    "* Steep learning curve\n",
    "* API is extremely unpredictable--redundancy and inconsistency are common\n",
    "    * Some simple things are hard; some complex things are easy\n",
    "* Lacks systematicity/organizing syntax--every plot is its own little world\n",
    "* Simple plots often require a lot of code\n",
    "* Default styles are kind of ugly\n",
    "* The documentation... *why*?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# High-level interfaces to matplotlib\n",
    "* Matplotlib is very powerful and very robust, but the API is hit-and-miss\n",
    "* Many high-level interfaces to matplotlib have been written\n",
    "    * Abstract away many of the annoying details\n",
    "    * The best of both worlds: easy generation of plots, but retain `matplotlib`'s power\n",
    "* [Seaborn](https://stanford.edu/~mwaskom/software/seaborn/index.html), [ggplot](http://ggplot.yhathq.com/), [pandas](https://pandas.pydata.org/), etc.\n",
    "* Many domain-specific visualization tools are built on `matplotlib` (e.g., [nilearn](http://nilearn.github.io/plotting/index.html) in neuroimaging)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/e/ed/Pandas_logo.svg/512px-Pandas_logo.svg.png\" width=\"45%\"></center>\n",
    "\n",
    "* Provides simple but powerful plotting tools\n",
    "* DataFrame integration supports, e.g., groupby() calls for faceting\n",
    "* Often the easiest approach for simple data exploration\n",
    "* Arguably not as powerful, elegant, or intuitive as seaborn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "iris = pd.read_csv('data/iris.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>SepalLength</th>\n",
       "      <th>SepalWidth</th>\n",
       "      <th>PetalLength</th>\n",
       "      <th>PetalWidth</th>\n",
       "      <th>Species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>5.2</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>5.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.3</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.6</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>5.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>5.7</td>\n",
       "      <td>2.9</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.5</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     SepalLength  SepalWidth  PetalLength  PetalWidth     Species\n",
       "0            5.1         3.5          1.4         0.2      setosa\n",
       "8            4.4         2.9          1.4         0.2      setosa\n",
       "16           5.4         3.9          1.3         0.4      setosa\n",
       "24           4.8         3.4          1.9         0.2      setosa\n",
       "32           5.2         4.1          1.5         0.1      setosa\n",
       "40           5.0         3.5          1.3         0.3      setosa\n",
       "48           5.3         3.7          1.5         0.2      setosa\n",
       "56           6.3         3.3          4.7         1.6  versicolor\n",
       "64           5.6         2.9          3.6         1.3  versicolor\n",
       "72           6.3         2.5          4.9         1.5  versicolor\n",
       "80           5.5         2.4          3.8         1.1  versicolor\n",
       "88           5.6         3.0          4.1         1.3  versicolor\n",
       "96           5.7         2.9          4.2         1.3  versicolor\n",
       "104          6.5         3.0          5.8         2.2   virginica\n",
       "112          6.8         3.0          5.5         2.1   virginica\n",
       "120          6.9         3.2          5.7         2.3   virginica\n",
       "128          6.4         2.8          5.6         2.1   virginica\n",
       "136          6.3         3.4          5.6         2.4   virginica\n",
       "144          6.7         3.3          5.7         2.5   virginica"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris[::8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Flbuvb775hv79+9OzZ0/uueee0ir7fn5+PPXUU/To0YOBAwdy6tQpAA4ePMjAgQPp168fzz77LH5+fgA8/vjjrFq1ip49e/LOO+8AcOLECUaPHk27du149NFHnfwqSRImhHCWzAQIDK/YNcERkCFJmBB1idVqZfHixXTr1o2XXnqJ4cOHs2nTJpYtW8YjjzyCxWJh+vTpTJw4kZiYGCZOnEjHjh1ZuXIl27ZtY/r06Tz55JPl6mvPnj3MnTuXNWvWEBMTg9lsZtasWQDk5uYycOBAtm/fzpAhQ/jf//4HwNSpU5k6dSqbNm2iadOmpW29+uqrDB48mJiYGB544AHAMWI3d+5cdu7cydy5czl27JhTXysp1iqEcI7MBGjctWLXBEXAiW2uiUeIeuq1ja+xN22vU9vs2KAjj/V/7ILn5Ofn07NnT8AxEnbnnXcSGRnJwoULefPNNwEoKCjg6NGj51ybmZnJpEmT2L9/P0opLBZLueL6888/2bJlC/369SuNoWFDx5IIDw+P0vVkffr0YenSpQCsW7eO+fPnA3DTTTfx8MMPn7f9ESNGEBgYCEDnzp05cuQIzZs3L1ds5SFJmBCi6qyFkJvkmI6siOAI2LMQ7DZHFX0hRK1VsibsdFpr5s2bR4cOHc44vmHDhjO+fuaZZxg2bBg//fQT8fHxREdHl6tPrTWTJk3ilVdeOec5d3d3VPHyCLPZjNVqLf83U8zT07P088q2cSGShAkhqi7ruOMxoKLTkS3BbnVcH9TC6WEJUR9dbMSqOo0aNYr333+f999/H6UU27Zto1evXvj7+5OdnV16XmZmJuHhjp8fM2fOLHf7I0aMYMKECTzwwAM0bNiQtLQ0srOziYiIOO81AwcOZN68eUycOJE5c+aUHj87puoga8KEEFWXmeB4DGxWsetK75CUdWFC1EXPPPMMFouF7t2707VrV5555hkAhg0bRmxsbOnC/EcffZQnnniCqKio0oX1ZZk5cybNmjUr/QgICODFF1/ksssuo3v37owcOZLExMQLxjRjxgzefvtt+vfvT2JiYul0Y/fu3XFzc6NHjx6lC/NdTelatmVI37599ebNm40OQwhxupjZMP//4P6tENKm/NelHYL3esEV/4Het7ouPiHquD179tCpUyejw6gV8vLy8Pb2RinFnDlz+Pbbb1mwYIFT2i7r/4NSaovWum9Z58t0pBCi6kpGwio6HRnQDJTJUd5CCCGqwZYtW5gyZQpaa4KCgvj8888Ni0WSMCFE1WUmgG8YuHtV7Do3D/BvWrzvpBBCuN7gwYPZvn270WEAsiZMCOEMmQkVXw9WIqiFrAkTQtRLkoQJIaquKklYcISMhAkh6iVJwoQQVaO1IwkLqMJIWPYJsBY5Ny4hhKjhJAkTQlRNQQZYcqs2Hantf9caE0KIekKSMCFE1VS2RliJkiKtsoekELWa2WymZ8+edO3aleuuu468vLzznhsTE8OiRYsu2uby5csZP348WmtCQ0NJT08HIDExEaUUq1evLj03LCyM1NRU7rrrLmJjY89pa+bMmUyZMgWA+fPnn3FOdHQ0RpS/kiRMCFE1pUlYJfdTKynYKuvChKjVSrYt2rVrFx4eHnz88cfnPbe8SVgJpRQDBgxg3bp1AKxdu5ZevXqxdu1aAOLi4ggNDSUkJIRPP/2Uzp07X7C9s5Mwo0gSJoSomtIkrII1wkoEhIMySxImRB0yePBgDhw4QG5uLpMnT6Zfv3706tWLBQsWUFRUxLPPPsvcuXNLK+Zv3LiRyMhIevXqRWRkJHFxcee0GRUVVZp0rV27lgcffPCMpCwyMhI4c1Triy++oH379gwdOpQ1a9aUnrtw4UIeeeQRevbsycGDBwH4/vvv6d+/P+3bt2fVqlUuf43AxUmYUmq0UipOKXVAKfV4Gc8HKqV+VkptV0rtVkrd4cp4hBAukJkAJnfwbVi5681ujkRMkjAh6gSr1crixYvp1q0bL730EsOHD2fTpk0sW7aMRx55BIvFwvTp05k4cSIxMTFMnDiRjh07snLlSrZt28b06dN58sknz2k3MjKyNAnbuHEjV155JceOOQo9r127lqioqDPOT0xM5LnnnmPNmjUsXbq0dOQrMjKSK664gjfeeIOYmBjatGlTGvfGjRuZMWMG//73v135EpVyWbFWpZQZ+AAYCSQAm5RSC7XWp4//3QfEaq0vV0qFAXFKqVlaa7lNSojaIjPBMQpmqsLfdFIrTAinOfnyyxTu2evUNj07daRxGYnR6fLz8+nZsyfgGAm78847iYyMZOHChbz55psAFBQUcPTouX9wZWZmMmnSJPbv349SCovFcs45/fv3Z9u2beTm5mKxWPDz86N169YcOHCAtWvX8tBDD51x/oYNG4iOjiYsLAyAiRMnsm/fvvPGf/XVVwPQp08f4uPjL/i9OosrK+b3Bw5orQ8BKKXmABOA05MwDfgrpRTgB6QBVhfGJIRwtqqUpygRHAEHlzknHiGEIUrWhJ1Oa828efPo0KHDGcc3bNhwxtfPPPMMw4YN46effiI+Pp7o6Ohz2vfx8aFt27Z8/vnn9O7dG4CBAweyaNEikpKSzukDHGvJysvT0xNw3GBgtVZPKuLKJCwcOH1DuARgwFnn/AdYCJwA/IGJWmu7C2MSQjhb1nGIiLr4eRcS1AKyE8FaCG6ezolLiHrqYiNW1WnUqFG8//77vP/++yil2LZtG7169cLf35/s7OzS8zIzMwkPd6wrnTlz5nnbi4qKYsaMGTz//PMADBo0iFtuuYWBAweek3ANGDCAqVOnkpqaSkBAAN9//z09evQAOKd/o7hyTVhZ6ac+6+tRQAzQFOgJ/EcpFXBOQ0rdrZTarJTanJyc7Ow4hRCVZbNC1onKl6coEdQC0H8v8hdC1AnPPPMMFouF7t2707VrV5555hkAhg0bRmxsbOnC/EcffZQnnniCqKgobDbbeduLiori0KFDDBo0CIDevXuTkJBQuij/dE2aNOH5559n0KBBXHrppaWjZwA33HADb7zxBr169SpdmG8EpfXZeZGTGlZqEPC81npU8ddPAGitXzntnF+BV7XWq4q//gt4XGu98Xzt9u3bVxtRy0MIUYbM4/BOZxj3NvS7s/LtxK+GmePg1p+gzXDnxSdEPbFnzx46depkdBj1Xln/H5RSW7TWfcs635UjYZuAdkqpVkopD+AGHFOPpzsKjCgOshHQATjkwpiEEM6UdcLxWOWRMKkVJoSof1y2JkxrbVVKTQGWAGbgc631bqXUvcXPfwy8AMxUSu3EMX35mNY6xVUxCSGcLKt4+jCgkjXCSvg3AZObJGFCiHrFlQvz0VovAhaddezj0z4/AVzmyhiEEC5UMhIW0LRq7UitMCFEPSQV84UQlZd1Aty8wTu46m0FtZAkTIgqcNUab1E+lXn9JQkTQlReSaHWCtTiOa/gCCnYKkQleXl5kZqaKomYQbTWpKam4uXlVaHrXDodKYSo47JOVH0qskRQBOScBEsBuFfsB5kQ9V2zZs1ISEhAyjgZx8vLi2bNKnaTkiRhQojKyzoBrQY7p62gFo7HzAQIbeucNoWoJ9zd3WnVqpXRYYgKkulIIUTl2G2OKvdOGwkrTsIyZEpSCFE/SBImhKicnFOgbVUvT1GitFaYJGFCiPpBkjAhROWUlqdwUhLm3xhM7nKHpBCi3pAkTAhROSX7PDprOtJkdlTelyRMCFFPSBImhKgcZ21ZdDqpFSaEqEckCRNCVE7WcXDzck6h1hJSK0wIUY9IEiaEqJys446pSGcUai0R1AJyk8CS77w2hRCihpIkTAhROVknnLcov0TpHZLHnNuuEELUQJKECSEqxyVJWEmtMFkXJoSo+yQJE0JUnN3m3C2LSpSOhMU7t10hhKiBJAkTQlRcTpKjUGugk0fC/BqB2UNGwoQQ9YIkYUKIinN2odYSJhMENpckTAhRL0gSJoSouKzjjkdnT0eC1AoTQtQbkoQJISquNAlzYqHWEsERkoQJIeoFScKEEBWXdRzMnuDTwPltB7WA3GQoynV+20IIUYNIEiaEqLiSOyOdWai1hNQKE0LUE5KECSEqLvO4c/eMPJ3UChNC1BOShAkhKs4VNcJKlI6EyR6SQoi6TZIwIUTF2O2Q7cIkzK+hY2NwScKEEHWcJGFCiIrJTQK71fk1wkooJbXChBD1giRhQoiKKS1P4aIkDKRWmBCiXpAkTAhRMaXV8l00HQlSK0wIUS9IEiaEqJjM4pEwV90dCY6RsLxUKMxxXR9CCGEwScKEEBWTddyxybZPiOv6kDIVQoh6QJIwIUTFuLJQa4nSMhWShAkh6i5JwoQQFZN13LWL8kGSMCFEvSBJmBCiYjITHCUkXMk3FNy8IT3etf0IIYSBJAkTQpSfzeqYjnTlonxwTHU2aAXph13bjxBCGEiSMCFE+WUngrZBkItHwgAatIbUg67vRwghDCJJmBCi/DKPOR5dPRIGENLGMRJmt7m+LyGEMIAkYUKI8stMcDwGtnB9Xw3agK3o7z6FEKKOkSRMCFF+JXcrBrr47khwTEcCpMmUpBCibpIkTAhRfpkJjiKtHr6u7yukjeNR1oUJIeooScKEEOWXeax61oMB+DcBdx9IkzskhRB1kyRhQojyq44aYSWUckxJynSkEKKOkiRMCFE+WkPGsepLwsBRK0ymI4UQdZQkYUKI8slPB0tu9dQIK9GgjaNqvs1afX0KIUQ1cWkSppQarZSKU0odUEo9fp5zopVSMUqp3UqpFa6MRwhRBdVZI6xESBuwW/7uWwgh6hA3VzWslDIDHwAjgQRgk1JqodY69rRzgoAPgdFa66NKqYauikcIUUWlNcKqeSQMHOvCGrSqvn6FEKIauHIkrD9wQGt9SGtdBMwBJpx1zk3Aj1rrowBa6yQXxiOEqIqMkpGwakzCSspUyB2SQog6yJVJWDhw+hxCQvGx07UHgpVSy5VSW5RSt7kwHiFEVWQeAzcv8A2tvj79GoG7ryzOF0LUSS6bjgRUGcd0Gf33AUYA3sA6pdR6rfW+MxpS6m7gboAWLaphuxQhxLkyExzrwVRZ/7RdRMpUCCHqMFeOhCUAp89bNANOlHHOb1rrXK11CrAS6HF2Q1rrT7TWfbXWfcPCwlwWsBDiAjKruTxFiZDWMhImhKiTXJmEbQLaKaVaKaU8gBuAhWedswAYrJRyU0r5AAOAPS6MSQhRWSUjYdWtQRvIOCJlKoQQdY7LpiO11lal1BRgCWAGPtda71ZK3Vv8/Mda6z1Kqd+AHYAd+FRrvctVMQkhKslSADmnjBkJa9Aa7FbIPPr3pt5CCFEHuHJNGFrrRcCis459fNbXbwBvuDIOIUQVldTpCm5Z/X2HtHU8ph6UJEwIUadIxXwhxMWlxzsejUjCQts5HlP2V3/fQgjhQpKECSEuzsgkzCcEvIIgVZIwIUTdIkmYEOLi0uPBzRv8DNjUQinHaJiMhAkh6phyJWFKqXlKqXFKKUnahKiP0uMhOKJ6a4SdLkSSMCFE3VPepOojHFsM7VdKvaqU6ujCmIQQNU16vDFTkSVC20LOSSjIMi4GIYRwsnIlYVrrP7TWNwO9gXhgqVJqrVLqDqWUuysDFEIYTGtIP2JsEhZSvDg/9YBxMQghhJOVe3pRKRUC3A7cBWwD3sWRlC11SWRCiJohLw2Ksg0eCZMkTAhR95SrTphS6kegI/A1cLnWOrH4qblKqc2uCk4IUQMYeWdkiQatQZlkXZgQok4pb7HWT4sLr5ZSSnlqrQu11n1dEJcQoqZIP+x4NDIJc/OEoAgpUyGEqFPKOx35YhnH1jkzECFEDVUyEhbUwtAwHGUqZDpSCFF3XHAkTCnVGAgHvJVSvYCS+9MDAB8XxyaEqAkyjoBvQ/DwNTaOkHZweBXY7WCSajlCiNrvYtORo3Asxm8GvH3a8WzgSRfFJISoSYwuT1EitC1Y8yErwfhROSGEcIILJmFa6y+BL5VS12it51VTTEKImiQ9HpoPNDqKv8tUpOyXJEwIUSdcbDryFq31N0BLpdSDZz+vtX67jMuEEHWFzQKZCdC9pdGRnFmmou0IY2MRQggnuNh0ZMkiED9XByKEqIEyjoK214zpSL9G4BkgZSqEEHXGxaYj/1v8+O/qCUcIUaOkHnQ8hrQ1Ng5w7FsZ0lbKVAgh6ozybuD9ulIqQCnlrpT6UymVopS6xdXBCSEMVlKhviYkYSBlKoQQdUp57/O+TGudBYwHEoD2wCMui0oIUTOkHgCvIPBpYHQkDiHtHHdHFuUaHYkQQlRZeZOwkk26xwLfaq3TXBSPEKImST0AIW0cU4E1QWjxiFzJNKkQQtRi5U3CflZK7QX6An8qpcKAAteFJYSoEdIO1ZypSPi7TIWsCxNC1AHlSsK01o8Dg4C+WmsLkAtMcGVgQgiDWfIh81gNS8LaAErukBRC1Anl3cAboBOOemGnX/OVk+MRQtQUaYccjyFtjI3jdO7eENRckjAhRJ1QriRMKfU10AaIAWzFhzWShAlxQVprdFERysMDVVPWVZVXyZ2RDWpQEgaOKUmZjhRC1AHlHQnrC3TWWmtXBiNEXVF48CApH3xIzsqV2HNyMAcF4XvJJTS4/Xa8u3YxOrzyKS1PUcOSsNB2sG0DaF1zbhgQQohKKG8StgtoDCS6MBYh6oT0777j5PQXMHl74z96FB7h4RQdPUb2n3+S9csvBF13HY2efAKTt7fRoV5Y6kHwawye/kZHcqaQtlCUA9mJENDU6GiEEKLSypuEhQKxSqmNQGHJQa31FS6JSohaKn3ud5x87jl8Bw+m6Wuv4tbg7/patuxsUj76mLQvviA/JobmH3+Ee3i4gdFeROqBmrUov0ToaRt5SxImhKjFypuEPe/KIISoC3I3bOTk9On4DhlM8w8/RLmd+c/L7O9Po0cfwTcykuMPPED8TTfT4rNP8WxbAxMdcCRhHccZHcW5Ti9T0XqosbEIIUQVlLdExQogHnAv/nwTsNWFcQlRq9hzc0l84gk8mjcn/O23z0nATud3SRQR33yNttk4Mul2iuLjqy/Q8spNgbxUCO1gdCTnCmgK7r5yh6QQotYr796R/wB+AP5bfCgcmO+imISodZLfew9LYiJNXn4Js5/fRc/36tCBiK++Arudo5PvxHLqVDVEWQHJcY7HsI7GxlEWpSCs/d8xCiFELVXeivn3AVFAFoDWej/Q0FVBCVGbFB07Rtqs2QRddx0+vXuX+zrP1q1o/r//YcvM5Nhd/8CWk+PCKCsoea/jMawGjoSBIzmUJEwIUcuVNwkr1FoXlXxRXLBVylUIASS//z7KzY3Q++6r8LXeXbvQ7D/vU3joECcefgRts138ouqQvBc8/CCwmdGRlC2sA2SfgIJMoyMRQohKK28StkIp9STgrZQaCXwP/Oy6sER9ZE1PRxcVXfzEGqTo2DGyfvmV4Jtvwr1R5QaHfQcNotFTT5KzfDnJ77zj5AgrKXmvI9GpqXW4StaqybowIUQtVt4k7HEgGdgJ3AMsAp52VVCifrGmpnJk0u3sHxTJvqhLyJg3z+iQyi3t66/BZKLBbbdVqZ0GN91E8E03kvrpZ2TMn++c4KoiOa5mrgcrUTJNWjJtKoQQtVC5SlRore1KqfnAfK11smtDEvWJvaCAo3dMpujoUUKnTCFv0yYSn3oa5eVF4LgaWB7hNLbsbDJ/mEfAmDG4N2pU5fYaPfEEhYcOc/K55/Hq0AGvTp2cEGUl5KVBzqmanYQFtwSzpyRhQoha7YIjYcrheaVUCrAXiFNKJSulnq2e8ERdl/LBBxTu20ez994lbMp9NP/fJ3j37s3J5/+NNSXF6PAuKHP+Aux5eTSYNMkp7Sl3d8LffgtzUBAJU6dhy852SrsVVpPvjCxhMkOo3CEphKjdLjYdOQ3HXZH9tNYhWusGwAAgSin1gKuDE3WbNTmZtK++JnDCFfgNGQKAycODJi++iL2ggOT3/2NwhBeW8dOPeHXu7NS9IN0aNCD8nbexnDjBiSeewJDtWmv6nZElwjrISJgQola7WBJ2G3Cj1vpwyQGt9SHgluLnhKi01Jkz0RYLof/3f2cc92zdiqCrrybzp5+wJtfM2e+CuDgKY/cQeNVVTm/bp3dvGj78EDl//EnaFzOd3v5FJcc5iqEGNq/+visirCNkHIWiXKMjEUKISrlYEuautT5nTqh4XZi7a0IS9YG9qIjMH+bhf9lleLRsec7zIZPvQFsspH0zq/qDK4fMn+aDuzsB412zbq3BpEn4X3YZSW+9Rd6WLS7p47yS9zqKoZrKe9+OQUpG6lL2GRuHEEJU0sV+yl6oXkDtqiUgapScZcuxZWYSdM01ZT7vERGB39ChZP70U82pnVVMW61k/vwz/tFDcQsOdkkfSimavPwS7uHhHH/kEWxZWS7pp0zJe2v2erASJTEmSxImhKidLpaE9VBKZZXxkQ10q44ARd2UOX8+bo0a4Rs56LznBF51FdakJHLXrqvGyC4ub9MmbKmpBFx+uUv7Mfv5Ef7G61hPJXHy+X9Xz/qw/HTITqwdSViDVmByk3VhQoha64JJmNbarLUOKOPDX2st05GiUuy5ueSuWUPA6FEos/m85/kNi8YcGEjmwoXVF1w5ZP3+O8rbG7/Bg13el3ePHoTdP4WsRYvIqo7X4eQux2Pjrq7vq6rM7hDSVu6QFELUWi5d9KGUGq2UilNKHVBKPX6B8/oppWxKqWtdGY+oGXLWrkUXFeE3fMQFzzN5eOA3YgQ5y5fXmEr62m4n+48/8Bs8GJO3d7X0GfKPf+Ddtw8np79A0bFjru3sVHES1qiWDHTLHZJCiFrMZUmYUsoMfACMAToDNyqlOp/nvNeAJa6KRdQsOX/+hSkwEJ/evS56rv+ll2LPziZ346ZqiOzi8mNisCWn4H/ZZdXWpzKbCX/9dTCZXL+/5Mld4BsG/lUvPlstwjpC+mGwFBgdiRBCVJgrR8L6Awe01oeKN/+eA0wo47z7gXlAkgtjETWEttnIWbECvyFDUO4Xn9H2jYpE+fiQ/cfSaoju4rKX/I5yd8cvemi19uvetCmNn3uO/O3bSfvyK9d1dGonNKoFU5ElwjqAtkOq7CEphKh9XJmEhQOnz50kFB8rpZQKB64CPr5QQ0qpu5VSm5VSm5NraN0oUT4Fe/diS0/Hb/Al5Trf5OmJ3+DB5Pz5lzGFS0+jtSZ76VJ8o6Iw+/lVe/8B48biN3w4ye++S1F8vPM7sFkgaU/tWA9WIqx4a6ekPcbGIYQQlVCuvSMrSZVx7OzfojOAx7TWNqXKOr34Iq0/AT4B6Nu3r7G/iUWV5G3YCIDPgIHlvsZvyGCylyyhcP9+vNq3d1VoF1W4dy+WEycIve8+Q/pXStH4uec4NH48iU8/Q4uvvkQ5s5ZXyn6wFUHj7s5r09VC24HZA07uhO7XGx1NnZOZb+FAUjb7TuWw/1QOR9NySckpIi23iLwiG1pr7Frj7W4mwNudAC93An3caRLoReNAL5oGetM40IsmgV40DfLG3VzDa88JUc1cmYQlAKeX3G4GnDjrnL7AnOIELBQYq5Syaq3nuzAuYaC8DRvwaNkS90YNy32Nb1QUALmr1xiahOWsWAmA39AhhsXg3qghjR5/jMSnniZj7lyCb7zReY2XLsqvRSNhZnfHurCS2EWFaa1Jz7NwICmH/UnZ7D+Vw4GkHPadyiYpu7D0PG93MxEhPoT5exIR4oOPhxtmEygUBRYbWQUWsvKtHE3NY+PhNDLzLWf0YzYpmgV70zLEl1ahvrQM8aF9I3+6Nw/Cz9OVv4qEqLlc+c7fBLRTSrUCjgM3ADedfoLWulXJ50qpmcAvkoDVXdpqJW/zZgLGj6/Qde6NG+PRtg25a9YQMvkOF0V3cTmrVuHVuTNuoaGGxQAQePXVZP26iKQ338L/0ktxCwtzTsMndzpGlULbOae96tK4G+yvGWsGa5ICi429J7M5np5PUnYBqTlFpOUVkZ7rGMnKyLOQlldERl4RFtvfEww+HmbaNvRjcLsw2jfyo10jP9o19Cc8yBuT6fwzFmfLLbRyMquAxIwCTmTmczQ1j8OpucSn5LI5Po3cIscNJiYF7Rv5c0nbUEZ3bUzvFsEV6keI2sxlSZjW2qqUmoLjrkcz8LnWerdS6t7i5y+4DkzUPQW7d2PPzcV34IAKX+sXFUX6nLnYCwoweXm5ILoLs2Vmkh8TQ8g/7qr2vs+mlKLxs89w6PIrSHrzLZq+9qpzGj61yzGqZK5lJQAbdYWYWZCTBH7lH2Gti5KyC5i35Ti/7Upk14ksbPa/kyuzSRHs406wjwfBvh60DPWht28QwT4ehPp50qahH20b+tEkwMspSZCvpxttwvxoE3bu+kmtNck5hcSeyGLr0Qy2Hknnq3VH+HT1YcKDvLltUAQ39G9BoHctey8KUUEuHQPWWi8CFp11rMzkS2t9uytjEcbL2+QoM+HTv3+Fr/WNiiLty6/I27IFv+LpyeqUu3Yt2Gz4DaneuyLPx6NlSxrccQepn3xC0MSJ5Sr3cVEnd0G7kVVvp7qV3Ehwahf4DTc2FoPkFFp5Z+k+vll/hEKrnR7Ng/i/oW3oGh5IRIgPDf09CfbxqDEjTEopGvp70bCDF9EdHIlzdoGFv/Ym8e3Go7yyeC8fLj/Iv0a049aBEXi4yVoyUTfJRLyoNnkxMbhHtMAtJKTC1/r07Ytydyd3zVpDkrCclaswBQbi3aPmLFoPveduMhcs4OSLL9Dq++8vuPvARWWfgtyk2rUerERJzCd3QZv6l4RtOZLGv76N4URmPtf2bsb/RbehdRmjTzWdv5c7E3qGM6FnOLuOZ/Lab3t54ZdY5m1J4N0betKukb/RIQrhdPLnhagWWmvyt2/Hp2fPSl1v8vHBq3v30tG06qTtdnJWr8IvKrJqiY6TmXx9afTYoxTG7iHjxx+r1tipnY7H2lSeooRPAwgIr5eL83/dkciN/9uAu1nxw72DeOO6HrUyATtb1/BAvprcn49v6cPJrALGv7+aH7cmGB2WEE4nSZioFpbjJ7Alp+DVo0el2/Dp15eC2FhsOblOjOziCvbswZacgu8Q4+6KPB//MWPw7tGDlP98gL2gClXjT8Q4HmtTeYrTNer6976X9cSvOxKZ8u1WuocH8tM/o+gT0cDokJxKKcXoro35bdpgerUI4sHvtvPO0n2G1wsUwpkkCRPVIn97DODYkLqyfPr1A5uN/G1bnRRV+eSuWgWA3yXlKzBbnZRShD30INZTp0j/5pvKN3RiGzRoA95BToutWjXuCilxYC28+Ll1wLqDqTwwN4Y+LYL5+s4BBPt6GB2SyzT09+KryQO4pncz3v1zPy/9ukcSMVFnSBImqkX+9u0oL68q1fny6dUL3NzIq+Z9JHNWrsKrSxfDS1Ocj2///vgOGUzKJ//DlplZuUZOxEBTJyzuN0rjbmC3QlKs0ZG43KmsAqbM3kqLEB8+ndQXb4+aM0XuKh5uJt68rju3R7bk09WHeWNJnNEhCeEUkoSJapG/fTveXbuWa7/I8zH5+ODdtWu1rgsrKU3hO2RwtfVZGQ0ffBB7Vhapn35W8YtzkiAroXYnYeF9HI/Htxgbh4vZ7Jp/fbuNvCIbH9/SmyCfujsCdjalFM9d3pkb+7fgw+UH+XpdvNEhCVFlkoQJl7MXFVEYuwfvnpWfiizh068f+bt2Yc/Lc0JkF5e7fgPY7TVyKvJ0Xh07EjBuHGnffIM1Pb1iF5esB6vNSVhgc/ANg+PVO1Vd3b5aF8+Gw2lMn9CFtg3r392CSilevLIrIzo25PmfY1m9P8XokISoEknChMsV7N6NtliqtCi/hE//fmC1krdtmxMiu7jcNWsw+fri3b3mL1gP/b970fn5pH31VcUuPLENUNCk5n+P56WUYzSsDo+EJWbm89bv+xjaPoxr+zQzOhzDmE2Kd2/sRbuGftw3eyvHM/KNDkmISpMkTLhcwa7dAHh361bltrx79QazuVqmJLXW5K5Zg8/AgVWaRq0unm3b4j9yJOnfzMKWnV3+C09sg9D24FnLR1bC+0ByHBRkGR2JS/x7YSxWu50Xr+xK8X679Zafpxv/vbUPNrtm2pxtWG12o0MSolIkCRMuV7BnD+aQENwaNapyW2Y/X7w6dyZv02YnRHZhlqNHsRw/jm9UpMv7cpaQe+7Bnp1N+qzZ5b/oxLbaPRVZIrw3oCExxuhInG79oVR+232S+4e3o3kDH6PDqREiQnx56aqubIpP572/DhgdjhCVIkmYcLmC2Fi8OnVy2l/vPv36UbBjR9XqYpVDzpo1AIZU6K8s765d8B08mLQvv8SeX45pmqxEyDlZN5Kwpr0dj3VsSlJrzauL99Ik0Is7L2lldDg1yoSe4Vzbpxn/+Ws/W49WcC2kEDWAJGHCpexFRRQeOIBX585Oa9Onfz+0xUJ+zHantVmW3DVrcW/WDPcWLVzaj7OF/OMubOnpZC78+eInnyheW1cXkjCfBtCgNSS4fpS0Oi3ZfYqYYxlMu7QdXu51vxxFRT1/RRcaB3jx2A87KLTajA5HiAqRJEy4VOG+/WC14tW5k9Pa9OnTB0wm8jZudFqbZ9MWC3nr1+MbFVXr1t/49OuHZ6dOpH/z9cWLWp7YBsrkqLNVFzTrD8c2QB0p5mm3a976PY42Yb5c07v+Lsa/ED9PN166qhv7k3L4cNlBo8MRokIkCRMuVbDHUTzTmSNhZn9/vDp1cuni/PwdO7Dn5taq9WAllFI0uPVWCvcfIG/duguffGIbhHUCjzqyzqhlFOQmQ8o+oyNxiqV7TrE/KYd/jWiHm1l+XJ/PsI4NubJnUz5cfoB9pypwU4oQBpN/1cKlCmJjMfn54d7MuX/F+/TvT/727dgLXbNNTe6aNWAy4TtwoEvad7WAcWMxh4SQ9uUFylVoXXcW5ZeIKF6/F7/a2DicQGvNh8sP0qKBD+O6NTE6nBrv2cu74OPhxr9/3i3bGolaQ5Iw4VKFsXsci/JNzn2r+fTrhy4qIn+7a9aF5axZg3f37pgDAlzSvquZPD0JnjiRnBUrKIqPL/ukjCOQlwLhdSgJa9Aa/JvWiSRs/aE0th/L4O4hrWUUrBwa+Hrw4Mj2rDmQypLdp4wOR4hykX/ZwmW0zUZBXJxT14OV8OnbB5RyyT6StowMCnbuwrcW3RVZluAbbwB3d9LOV66iZAF7s/7VF5SrKeWYkjyyptavC/tw+QFC/TzrdWHWirp5QAs6NPLnxV9jKbDIIn1R80kSJlym6PBhdEGBU9eDlTAHBODZqaNL1oWVbFVU25Mwt7AwAkZeSubChWWX8zi2Edx9oKHz//8YKiIKck5Bau2tHRV3MptV+1O4I6ql3BFZAW5mE89d0ZmE9Hz+t/KQ0eEIcVGShAmXKYh1LMr37OT8kTAA3379yY+JwV5U5NR2c9esweTnh3f32n/HYND112PPzCT799/PfTJhk6O2ltmt+gNzpdbRjscDfxoaRlV8tS4eTzcTN/WvXeVRaoLINqGM7tKYj1ccJCXHNWtGhXAWScKEyxTE7kF5euLZurVL2vfp3w9dWEjBjh1Oa7NkqyLfQQNRbrU/OfHp3x/3Fi3I+O77M5+w5MPJHdC8nzGBuVKDVhDSDg4sNTqSSsnMt/Dj1uNc0aMpwb4eRodTKz06ugMFVjv/kUr6ooaTJEy4TEFsLJ4dOrgsmfHp41gXluvEemFFh+OxnDiBb2TtK01RFmUyEXTtteRt3kzhocN/P5G4A+xWaFYHkzCAdiPh8CooyjM6kgqbtyWBfIuNSZEtjQ6l1mod5sfEfs2ZteEIR1Nr33tA1B+ShAmX0FpTsGePSxbllzAHBeHZoYNT14XlrFgBgN+QIU5r02hBV10Jbm5kfH/aaFhCceJal5MwWyHErzI6kgqx2zVfrz9C7xZBdA0PNDqcWm3qiHaYTYq3lsYZHYoQ5yVJmHAJS0IC9uxsvDq5dtG3T/9+5G+LQTtpXVjOihV4tmuHe3i4U9qrCdzCwvAfFk3m/Pl/v04JmyAoAvwaGhqby0REOW462F/GWrgabNWBFA6n5MoomBM0CvBiclQrFsScYNfxTKPDEaJMkoQJlyiI3QM4t1J+WXz69UMXFJC/a1eV27JlZ5O3eTN+0UOdEFnNEnjNNdjS08lZudJxIGFz3R0FA3DzhDbDYc8vYLcbHU25zd5whBBfD0Z3bWx0KHXCPUPbEOjtzutLZDRM1EyShAmXKIiNBbMZz/btXNqPT9++AORt2FDltnLXrAWrFb/o6Cq3VdP4RUVhbtCAzAULIfM4ZB2v20kYQJerIOckHFtvdCTlkpJTyJ97kri6dzieblKWwhkCvd35v+g2rNyXzJYjaUaHI8Q5JAkTLlGwJxbPtm0xeXq6tB+34GC8OncmZ/WaKreVs2IFpsBAvHv0cEJkNYtydydg3Dhyli/Htrd4NKyuJ2HtR4ObF+yeb3Qk5fLT1uNY7Zrr+zY3OpQ65bZBEYT4ejDjj/1GhyLEOSQJEy5RULxdUXXwHTyY/JgYbFlZlW5D2+3krFyJ3yWX1InSFGUJnDABbbGQ9etCMHtC49pfB+2CPP2g7aUQu6DGT0lqrflu8zF6tQiiXSN/o8OpU3w83LhnaGtW7U9hc7yMhomaRZIw4XSWpCRsKSkuXw9Wwm/IYLDZyF27rtJtFOzYgS01tU6uByvh1aUzHm3akLlmDzTtCW71oAZVLZmS3HYsg/1JOUyUUTCXuGVgBKF+Mhomah5JwoTTlVTK9+pSPUmYd48emPz9yVld+XIEWUt+B3d3/IbW3SRMKUXg+HHkHy+kyKuObVV0PiVTkrt+NDqSC/p+8zG83c2M79HU6FDqJB8PN+4Z0obVB1LYJKNhogaRJEw4XeEex52Rnh06Vkt/ys0N38hIcletRldi02atNdlLluAXGYk5IMAFEdYcgQMcuxdk7q8nmxt7+jkSsdj5YLMaHU2Z8oqs/Lw9kXHdm+DnWTenwmuCv0fD9hkdihCl5F+8cLqC2Fg8IiIw+/lWW59+QwaTvWQJhXv3VngtWsHOnVhOnCB0yhQXRVdzuFvi8WlYSNaaPYRqjVLK6JBcr9u1jiTs8ApoO8LoaM6xaOdJcgqtXN+3GUl5SSTnJ5NZmElOUQ7gGMH0dvOmgVcDQrxCCPEOwc0kP7orytvDzL1D2/Dir3vYeDiN/q0aGB2SEJKECecr2B2Ld8/qvcPQLzoaTCayliypcBKWtWQJuLnhP2K4a4KrSY6uJ6CjJydXHqcgNhbvLl2Mjsj12o4Ez0DY+UONScK01hzOOsz2pO3MiPmdoHaHuW/t8xRYCy56rZvJjVaBrWgb1JZODTrRt1FfOoV0ksSsHG4eEMHHKw4x4499zP7HQKPDEUKSMOFctowMLCdOEHTjDdXar1tICD79+5P92xLCpk4t9wiPttvJXvwbvoMGYQ6s49vEaA1H1xFwSX9Ort1G1qJF9SMJc/eCzpfD7gUw/m1w9zYkDLu2s/XUVv48+ifLji3jeM5xADQ+RPh1ZGjr4bTwb0Ejn0YEeAbg5+6HSZmwazv51nxSC1JJzU/leM5xDmQcYHvSdhYfXgyAn7sf/Rr349KIS4luHk2AR92eVq8sx2hYa178dQ8bDqUyoHWI0SGJek6SMOFUBXuqp1J+WQJGj+Lk8/+mcN9+vDq0L9c1eevXYzlxgrAHH3RxdDVAxlHITsQ8eDC+kV5kL/6Nhg8/XD+mJLteC9u+cWxj1HlCtXadkp/CT/t/Yt7+eRzPOY6HyYOBTQdyZ7c72bavAXPX5vPF45fSMMCrUm1vPrmZjSc3sur4KpYdW4abyY2oplFc3e5qhjQbIiNkZ7llYAT/XXmId/7Yx5y7Bxkdjqjn5F+ncKrq2q6oLP4jR3Jy+gtk/ba43ElYxrwfMQUG4j/yUhdHVwMcLS7T0GIQAWPCSHziCQq2b8e7Z09Dw6oWrYaAb0PY+X21JWGHMg7x6c5PWXx4MVZtpX/j/vyr178Y2nwovu6+WG123vj+L4Z1aFSpBAwg1DuU0a1GM7rVaOzazq6UXSw9spRFhxYxNWEqDb0bcnX7q7mhww2EeMuoD4CXu5n/G9qG6b/Esu5gKoPayOsijCN3RwqnKoiNxa1JE9yCg6u9b7eQEHwHDSJz/gK07eJ3/9kyM8leupTA8eNdXtm/Rji6DjwDoGEn/C8dgXJ3J2vxYqOjqh4mM3S9Bvb9DgWu3cz5YMZBHlr+EFcuuJKlR5YyseNEFl65kM9GfcbY1mPxdXfcsLJiXzJJ2YVOq5BvUia6h3Xnob4PseTaJbw77F3aN2jPf7f/l9HzRvPyhpdLp0Dru5sGtKChv6fcKSkMJ0mYcKqCPdVXKb8sQddfjzUx8e+Nqi8g44cf0EVFBF17TTVEVgMcXQ/N+4PJjNnfH9/Bg8n6bQm6hleTd5pu14Kt0LGptwuk5qfy4voXuWbhNaw5sYY7u93JkmuX8Hj/x2kV2Oqc87/bfIxQP0+GdWzo9FjcTG4MbzGcjy79iPlXzmdMqzF8v+97xv04jmfWPMPJ3JNO77M28XI388/oNmw4nMbagylGhyPqMUnChNPYc3MpOnzYkKnIEv7Dh2EOCyVjztwLnmcvKiJt5pf4DBpoaNJYbfLSIHkPtPj7jrCAsWOxnjpF/tatBgZWjcL7QHBLx5SkE9nsNr6O/ZrxP43nh30/cH2H61l89WKm9p5KA6+yyyCcvlm3u9m1P4ZbB7ZmetR0Fl+9mBs73sivh35l3I/jeHvz22QWunZUsCa7oX8LGgd4MWPp/krVFxTCGSQJE05TELcPtMars3FJjXJ3J/j6ieSsWEFBXNx5z8ucPx9rcjIhd91VjdEZKGGT47HF3wuR/YdFo7y8yFq0yJiYqptSjgX6h1dATpJTmoxLi+OWRbfw+qbX6dGwBz9O+JEnBzxJsNeFp+P/3qy7mVPiKI/Gvo15rP9j/HLVL4xuNZqZu2cy5scxzN4zG6u9ZhaydSUvdzP/HNaGjfFprD2YanQ4op6SJEw4Tel2RQaOhAE0uO1WTH5+pPznP2U+b8vJJfn99/Hu0QPfyMhqjs4gR9eByR2a9i49ZPL1xW/oULKW/I621pNfwt2uA22H3T9VqZkiWxHvbn2XG365gRO5J3h9yOt8NOIjWge2vui1JZt1924RRNuG1b9Zd1O/prx0yUv8cMUPdAnpwisbX+GGX25gW9K2ao/FaBP7NadJoBfvLN0no2HCEC5NwpRSo5VScUqpA0qpx8t4/mal1I7ij7VKqeqt8CmcqmBPLObgYNwaNTI0DnNgICF3TiZ76R9kL1t2zvPJ776LLTmFRk89WT/KM4BjPVjTnuDhc8bhgDFjsKWmkrdpkzFxVbeGHaFRtypNSR7KPMTNi27m052fMr7NeBZeuZAxrcaU+70UU7xZt7MW5FdW++D2fDLyE94a+hYZhRnctvg2nlr9FOkF6YbGVZ083cz8c1hbNh9JZ/UBWRsmqp/LkjCllBn4ABgDdAZuVEqdPURyGBiqte4OvAB84qp4hOsVxO7Bq3PnGpHYhNx5J57t2pH4zLMUHTtWejxz4ULSv/6a4Ftuwbt7dwMjrEaWAji+BZoPOOcpv6FDUD4+ZC2qJ3dJAnS7xjE9m3a4Qpdprfku7jsm/jyRU7mneH/4+7wQ9QKBnhUr8vvd5gS83c2M696kQte5glKKy1pexsIrF3Jn1ztZdHgRVy64kt/jfzc6tGpzfd9mNJXRMGEQV46E9QcOaK0Paa2LgDnAGQV6tNZrtdYlf3atB6pvgYRwKntREYUHDhi6Hux0ysOD8HfeBouF+Ik3kPLJ/0h89jlOPPY4Pv370/DRR4wOsfokxoCt6Iz1YCVM3t74DxtG9u+/oy2W6o/NCF2L74bdNa/cl2QWZjJ12VReWP8CvRv1Zt4V84huHl3hrvOLbPy8/QRjuzXB38u9wte7io+7D9P6TGPu+Lk09m3MQyse4sHlD5KSX/dHh0pGw7YezWDl/rr//YqaxZXFWsOBY6d9nQCc+6f43+4E6tGf43VL4f79YLEYvh7sdJ5t2xIx6xsSn36G5LffBnd3gm+8gYaPPILJw8Pp/dm1nSNZR9ibtpf4rHgyCzPJt+bj7eZNgEcALQNa0i64HW2D2lbvaOHRdY7HFmXvlRcwdgxZv/5K7vr1+A0eXH1xGSWoBTQf6NhLcsjDFz19b9pepi2bxqm8Uzzc92Fu7XwrJlW5v18X70os3ay7Jmof3J5ZY2cxc/dMPor5iI0nN/Jk/ycZ23qs0aG51PV9m/PR8oO8s3QfQ9qF1ojRfFE/uDIJK+tdXOZYr1JqGI4k7JLzPH83cDdAixYtnBWfcKKC3bsBaly5B8+2bWk551us6emYPD0x+fhc/KIK0FqzNWkrvx76lRXHVpCU//ddd/7u/ni5eVFgLSDHkoMufvuHeIUQFR7F5W0up3/j/pX+hV5uR9dDSDvwDS3zad/BgzH5+ZG1aHH9SMLAUTNs0cNwajc0Ov/+mQsPLmT6uukEegYyc/RMeoRVbdnqd5uP0TLEh/6tyi5dURO4mdy4q9tdDG8+nGfWPsNjqx5j5fGVPDXgKfw9qv9Ggurg4WbivmFtefKnnSyPS3ZJ7TYhyuLKJCwBOH3laTPgxNknKaW6A58CY7TWZd4nrLX+hOL1Yn379pVJ+xqoYOcuTAEBuEdEGB1KmZxdwd9mt7Ho8CK+2P0F+9P34+3mzSXhlxDVNIouoV1oE9gGd/Pf001FtiKOZB0hNjWWtSfWsuzYMhYeXEi4Xzi3d7mdq9pdhafZBVX77XZHEtbp8vOeYvLwwP/SS8n+4w/s/37eJaOENU6Xq2DxY7DjOxj573OettgsvLbpNebGzaVf4368MeSNKm/7cyQ1l/WH0nhkVIdaMdLSOqg1X47+kk93fsrH2z9m26ltvDL4FXo36n3xi2uha/s0478rD/Lab3sZ0j4Ms6nm/z8StZ8r/wTfBLRTSrVSSnkANwALTz9BKdUC+BG4VWst+0fUYvk7d+LdrVut+OVSVSsTVnL1wqt5cvWTKBTPD3qeFRNX8Hb021zT/ho6Nuh4RgIG4GH2oF1wOya0ncBrQ15j2fXLeG3wa4R6h/LShpcYO28sPx/82fkLg5NioSADIi5ciiNg7Bjs2dnkrl7t3P5rKt9QaB0NsfPhrNc8NT+VyUsmMzduLnd0uYNPRn7ilH0Xf9iSgEnB1b3Dq9xWdXEzuXFvj3v5csyXmJSJO5bcwfvb3sdir3vrBz3cTDw6qiN7T2bz49YEo8MR9YTLkjCttRWYAiwB9gDfaa13K6XuVUrdW3zas0AI8KFSKkYptdlV8QjXseflUbh/P17duxkdiksl5yXz0PKHuO/P+7BrO29Hv80Pl//ANe2vwdvNu0JteZo9Gdt6LF+P+Zr/XfY/Gvk24snVTzLpt0nEpZ2/yGyFxRcnVS3LnOkv5TtoEObAwPp1l2TnCZAeDyd3lB46kH6AmxfdzN60vbwx9A0e7PsgbqaqTxjY7JoftiQwpH0YTQIr9l6pCXqE9eCHK37g8taX88mOT5i0eBLHso5d/MJaZmy3xvRoHsRbv++jwHLx/WeFqCqXLkbRWi/SWrfXWrfRWr9UfOxjrfXHxZ/fpbUO1lr3LP7o68p4hGsU7NkDNhve3epuyYff439nwoIJLD+2nPt73c+PV/zIyIiRVR75U0oxsMlAvhn7DdMjpxOfGc8Nv97AZzs/w2Z3wi+B+FUQFOFYjH6hONzd8b9sJDl//YW9oKDq/dYGHceBMkGsY4B+zfE13Lr4VgpthXwx+gtGtxzttK5W7ksmMbPA8NpgVeHr7suLl7zIm0PfJD4rnut/uZ6lR5YaHZZTKaV4ckxHTmYV8PmaipUwEaIypGK+qLL8HTsB8O7W1eBInK/QVsiL61/koRUP0TKgJfOumMfd3e8+Z7qxqkzKxFXtrmLhlQsZ1nwYM7bOYPKSyVXbaNluhyNroGX5FtsHjBmDPS+PnBUX3/y8TvANhYgo2LOQb/d+yz///CfN/Jvx7bhv6Rrq3PfyN+uPEObvycjOxhYydoZRLUfx/eXf0yqwFQ8uf5BXNrxCka3I6LCcZkDrEC7t1IiPlh0kLbfufF+iZpIkTFRZwc4duDVtgltYmNGhOFVSXhK3Lb6tdG3Ql2O+pGVgS5f2GeQVxFtD3+LlS14mLj2Oib9MZNPJSlazT4qF/PSLTkWW8OnfH3NICFmL68+UpLXT5bxsT+blDS8zpNkQvhz9JY19Gzu1j4T0PP6KS2Ji3+Yu36y7uoT7hfPl6C+5tfOtzN47m9sW38ax7LozPfn4mA7kWWy8s1SWKgvXqhs/EYSh8nfsrHNTkbGpsdz4643EZ8bz3rD3eLDvg7ibqqe4plKKy9tczuxxswn0DOQfv/+Dr3Z/VfFF+6XrwaLK16+bGwGjLiNn+XLsubkVjLr2yS7KZkr6er4N9Of2gM7MiJ6Bj7tzS5gAzN3kSE5u6F97pyLL4m5259F+jzJj2AyOZh1l4s8T+ePIH0aH5RRtG/pz68AIZm04wq7jmUaHI+owScJElVjT0rAkJOBdhxbl/3n0T27/7XbMysxXY75iWIthhsTROrA1s8fOJrp5NG9sfoPn1j5XsbvSyrke7HQBY8agCwrIXr684gHXIidyTnDb4tvYkBTD87ZAHjp5HLPJ7PR+LDY7czYdY1iHhjQLdn6CVxOMaDGC7y7/joiACB5Y/gCvbny1TkxPPnhZexr4evL0/F3Y7VIZSbiGJGGiSgp2OtaDeXWrG0nYT/t/4sHlD9I2qC2zx82mQ4MOhsbj5+HHO9HvcG+Pe/npwE/c98d95BTlXPxCux2OrC33erAS3n364NawYZ2ektydspubF93MqdxTfDzyY67peAOc2glph5ze19LYUyRnF3LLwLpdZLqZfzO+GvMVt3S6hVl7ZjFp8SQSsmt3mYcAL3eeGteRmGMZzN1cd6ZaRc0iSZiokrxt28BsxrvL+auO1xZfx37Ns2ufZUDjAXx62aeEepddYb66KaW4r+d9TI+czqaTm5j026SLL9hP3gP5aeVeD1bal8mE/+hR5K5YiS07uwpR10x/Hf2LO5bcgafZk2/GfsOAJgP+LmQbu/DCF1fCrA1HCA/yZmj7ul+B3d3szmP9H2NG9AyOZB3h+l+u56+jfxkdVpVc2TOc/q0a8Npve2WRvnAJScJEleRv2YpXp06YfH2NDqXStNZ8EPMBr296nZERI/nPiP+4ZG1QVV3V7io+uPQDjucc55ZFt3Ao4wIjNxVcD3a6wLFj0RYL2X/+WclIa6ZvYr9h2rJptA1qyzdjv6F1UGvHE8ER0KQn7HFuEnYoOYc1B1K5sX/zelV9fUTECOZePpdmfs2Yumwqb2x6o9YWd1VK8cKEruQWWnl2wS6jwxF1kCRhotLsRUXk79iBT5/au42J1poZW2fw8faPuartVbw+5HU8zDV3257IppF8OfpLrHYrt/92O7tTd5d94uGVjrVgFVgPVsKrRw/cmzatM1OSNruNVza8wmubXmN4i+F8Nuqzc0c5O0+A41sg03lTaDPXxuNhNnF9v7q1IL88mvs35+uxXzOxw0S+iv2KO367o2rlVgzUobE/U0e045cdifyy45yd94SoEknCRKUV7N6NLizEu08fo0OptP/E/IfPd33O9e2v59+R/3ZKdXRX69CgA1+N+Qofdx/uXHLnuSUsbFZHEta6cjcUKKXwHzOa3DVrsWVkVD1gA+VZ8pi2bBqz985mUudJvDX0rbJ3N+g8wfG452en9JuZZ+H7zQlc3qMpDf29nNJmbeNp9uTpgU/zxpA3OJBxgGt/vpaVCbWzBt29Q9vQo1kgz8zfRVJ2PSlmLKqFJGGi0vK3bgXAp3ftHAn7aPtHfLLjE65pdw1PDXyqVu172SKghaOmlU9j7l16L8uPLf/7yRNboTAL2gyvdPsBY8aC1Ur2H7W35EByXjK3/3Y7K4+v5KkBT/Fwv4fPfwdkSBto2AViFzil7283HSXfYuPOS1o5pb3abHSr0cwZN4dGPo2478/7mLFlBla71eiwKsTNbOKt63uSV2Tj8Xk75W5J4TSShIlKy9u8BY+ICNxCa8YC9or4dOenfBjzIVe0uYJnBz2LSdW+fwqNfBsxc/RM2ge3Z9qyafx8sHgU5+Bfju14Wg2pdNteXTrjHtGCzJ9/cVK01Wtf+j5uWnQT8VnxvD/8fW7oeMPFL+p8BRxdD9mnqtS3xWbny7XxDGodQuemAVVqq65oGdiSWWNncU27a/hs12fc9ftdJOUlGR1WhbRt6MeTYzvx194kPl550OhwRB1R+37ziBpB2+3kb92Kd9/aNxU5c9dM3t36LuNaj2N65PRamYCVCPIK4tNRn9K3UV+eXP0ks/fMdiRhTXuBT4NKt6uUInDCBPI2bMBy/LgTI3a9lQkruW3xbdjtdr4c/SVDmpUzGe10BaBhb9WmJBfvOkliZoGMgp3Fy82L5yOf5+VLXiY2NZbrfr6OtSfWGh1Whdw2KILLezTlzSVxrD2YYnQ4og6ovb99hKGKDh7ElpmJT+/alYR9Hfs1b215izEtx/Bi1IsuKdBZ3Xzdffng0g8Y3nw4r2x8hQ9z4tCVXA92uqAJjnVSGQucM0XnalprPt/1OVP+nEIL/xbMGjeLTiGdyt9Aw04Q0rZKpSq01ny++jAtQ3wY3rHul6WojMvbXM6ccXNo4NWAe5feywcxHzhns/pqoJTi1au70SrUlymzt3Ekte7vLCFcS5IwUSm56zcA4NO/n8GRlN/sPbNLy1C8PPjlWrEIv7w8zZ68Ff0WV4b24aOgAF60n6zyLzb38HB8Bg4k86f5Fd8yqZoV2gp5cvWTvLPlHUa1HMWXYyqxB6RSjtGw+NWQl1apODYcTiPmWAaTL2mFqR6Vpaio1kGtmTV2Fpe3uZyPt3/MPUvvISW/dows+Xq68cltfbFrze1fbJL6YaJKJAkTlZK7di3uzZvj0bx23H7/Xdx3vLLxFYY1H8ZrQ16rUwlYCTeTG9PtQdyZnc93J1by8IqHKbQVVqnNwCsnYDl2jPwtW5wUpfMl5SVxx2938MuhX7i/1/28PuT1su+ALI/OV4C2wd5fK3X5f/46QKifJ9f3rR3/Lozk4+7DS5e8xPTI6cQkx3Ddz9dVfrP6atYmzI/PJvXlREY+d365idzC2nWjgag5JAkTFaYtFvI2bsQ3MtLoUMrlx/0/8sL6FxjSbAhvDn2z2jbirnZaow78wbSQfjza71H+OPoH9y69l+yiyle+D7jsMkw+PmT89JMTA3WebUnbuPGXGzmQcYAZ0TO4u/vdVbvLtUlPR2213RX/frcdTWf1gRTuHtIKL/faP81dXa5qdxWzx83Gz92Pu36/i4+2f1Qr7p7sE9GAd2/oxY6ETCZ9vpHsgtpZkFYYS5IwUWH5O3diz83Fd9Ago0O5qPkH5vP82ueJahrF29Fv1+hCrFV2ahdkHoMOY7i18628Nvg1YpJjuOO3O0jOS65UkyYfH/xHjyZ78W/Y8/KcHHDlaa35avdXTP5tMp5unnw95mtGRIyoesNKQfcbHDc3ZFRsv8APlh0gyMedmwdEVD2OeqZ9cHvmjJ/DmFZj+DDmQyYvmVwr9p4c3bUx79/Yi5hjGdz62UbSZWpSVJAkYaLCctesBaXwHTjA6FAu6OeDP/PsmmcZ2GQgM4bNwNPsaXRIrhW3GFDQfjQAY1uP5YMRH3A0+yi3Lr6VA+kHKtVs0FVXYs/LI+u3JU4MtvKyi7J5cPmDvLH5DYY0G8Lc8XOdu9F6r1scjzGzyn3JnsQs/tiTxOSoVvh61r2p7urg6+7Lq4Nf5dXBr7I/fT/X/nwtCw4sqPHrEcd2a8IHN/cm9kQWV364hgNJdW/PVeE6koSJCstduxavrl0xBwUZHcp5LTq0iKfXPE3/xv15d/i7eLnVg6rlcYugWV/w+/uuvMimkXwx6gsKbYXcvOjmM4u6lpN33754tG5N+rffOi/WStqdspsbfrmBZceW8XDfh5kxbAb+Hv7O7SQ4AlpHw7ZvoJw3N7y9dB/+nm5MGtTSubHUQ+Naj2PeFfPoENyBp9c8zcMrHiazMNPosC5oVJfGfHv3AHILrVz1wVp+3107t2gS1U+SMFEh1vR08rdvx/eSim8MXV1+i/+NJ1Y/Qe+GvXlv+HuVX6Rdm2SdgBPboMOYc57qEtqFb8d9S8vAlvzrr3/x+a7PKzS6oJQi+MYbKdi5k/ydO50ZdbnZ7DY+2fEJtyy6hUJbIZ+N+oxJXSa5bpeD3rc5pnYPXHwT8y1H0lgae4p7hrYm0KeOrjesZk39mvL5qM+Z2nsqfx39i6sXXs36xPVGh3VBfSIaMP++KCJCfbj76y088eMO8opq/to2YSxJwkSF5KxYAXY7/sMrvyWOKy09spTHVz5Oz7CefDDiA3zcfYwOqXrEFW+23WFsmU839m3MzNEzGdVyFO9seYdHVz5KTlFOuZsPvHICyseH9NnVPxqWkJ3AHUvu4P1t7zMyYiTzrphHn0Yurk/XcTz4NYZ1/7ngaVprXlscR5i/J5OlOKtTmU1m7up2F9+M+wYfNx/+8fs/mL5ueoXet9WtWbAPP/5fFPcObcOcTccY+fZKluw+WeOnVIVxJAkTFZLz55+4NWyIV5cuRodyjsWHF/PIikfoFtqNDy/9sP4kYAB7FkJwKwjreN5TvN28eX3I60ztPZXfj/zO9b9cz+7U3eVq3uzvT+AVl5O1aBHW9HRnRX1BVruVmbtmcvXCq9mfvp9XBr/C60NfJ9Az0PWdu3nAwP+DwyvgRMx5T1sWl8TG+DT+NaIdPh6yFswVuoR04bvLv+P2Lrczb/88rlxwJasSVhkd1nl5uJl4fExHvrtnEH6ebtzz9RZu/2ITsSeyjA5N1ECShIlysxcUkLN6DX7Dh6FMNeutM2/fPB5b+Rg9G/bko0s/wtfd1+iQqk/2KTi8Erpe47i77wKUUtzV7S6+GPUFRbYibll0CzN3zSxXYdfgm25CFxaSOW+esyI/r90pu7np15t4a8tbDGg8gJ8m/MT41uNd3u8Z+t4BHv6w9r0yn7ba7Ly2OI6WIT7c0E/qgrmSt5s3D/V9iK/HfI2fux///POfPLX6qRq9Vqxfywb88q9LeHpcJ7YdTWfse6u4b/ZWDiTV3JE8Uf1q1m9SUaPlrl2Hzs/Hf4QTSgE40dexX/P8uueJDI/ko0s/ws/Dz+iQqtfun0Dbodt15b6kd6Pe/HD5DwwOH8xbW97i1sW3si993wWv8WrfHp8BA0j76mvsRa65FT85L5nn1z7PTYtuIjk/mbej3+a94e9VvPq9M3gFQt/bHa9vctw5T8/acJS4U9k8Nroj7mb5UVoduod157vLv+Pu7nfz66FfuXLBlfx2+LcaO93nbjZx1+DWrHpsOPcPb8uyvUlc9s4KHpwbw+EU2fJISBImKiDr118xBQbiO6BmlKbQWvPf7f/l9U2vM6LFCN4bVk8W4Z9t1w/QqCs0PP9UZFmCvIJ4d9i7vD7kdRKyE5j480RmbJlxwTU3If/4B9akJDKdvJ9kTlEOH8V8xLifxrHg4AJu6ngTC65cwMiIka5bfF8eUdPA3Rf++PcZh1NyCnnz9zguaRvK6K4GJIj1mIfZg/t73c+3474lzDuMR1Y+wt1L7+ZQ5iGjQzuvQG93HrqsA6seHcadl7Ri0a5ELn17BQ99t514ScbqNVVT/4I4n759++rNmzcbHUa9Y8vJZf8llxB45QSaPP+80eFgtVt5deOrzI2by/jW43kh6oU6uRXRRaUdhvd6wqXPwyUPVLqZ9IJ03tz8JgsPLiTYM5h7etzDte2vPae2mtaa+GuuxZabQ5tFi1DmqlWGTytI45vYb5izdw7ZlmxGRoxkWu9ptAhoUaV2nWrlm/DXC3D7ImjpuCv4ke+3Mz/mOIunDqFtw3o28lqD2Ow2vtv3He9vfZ98Wz6TOk/i7u531/j1oEnZBXyy4hBfrz+C1a65qlc49w9vS0RIPVpGUY8opbZorfuW+ZwkYaI8Mhcs4MRjjxMxexY+vXsbGkueJY9HVz7KioQV3NH1Dqb1noZJ1dNB3T+nw+p3YOoOCKr6uqTdKbt5a8tbbDq5iRCvEG7qdBPXt7+eIK+g0nOylvzO8alTCX/7LQLGln035oVordmWtI0f9//IkvglFNoKGdFiBHd1u4suoTXvhg+K8uCD/uDuA/euYsPRHCZ+sp57hrbmiTGdjI5OACn5Kbyz5R0WHlxIY9/GPNTnIUa1HGXsKGo5JGUX8PHyQ8za4EjGru4Vzv3D29EipGYnkaJiJAkTVXZ08p0UHTlCmz+WGvqDLSU/hfv+vI+9aXt5sv+TTOw40bBYDGezwDtdoGkvuGmu05rVWrPh5AZm7p7JmuNrcDe5Mzh8MONajyOyaSS+bj4cGn85mBSt589HuV18BNKu7exK2cXyY8tZemQp8Vnx+Lj5MKbVGG7rfButg1o7LX6X2P8HzLqGosgHuTRmCAC/TRssd0TWMFtObeHlDS+zL30f3UK78VDfh1xfzsQJkrIK+GjFQWZtOIrWmjsvac39w9vK7gt1hCRhokqKjhzh4KjRhE6ZQtiU+wyLY3vydh5c/iDZRdm8MeQNhjYfalgsNULsAvjuNrhxLnQY7ZIu9qXvY/6B+Sw+vJiU/BTMykyX0C6MjQ+m93t/Ynn0boKvu5YAjwA8zB4U2YoosBaQlJfE8dzjHM44zI6UHexM2UlmYSYmZaJ3w95c0eYKRrUcVeOnjc7w0/9h3z6HW4seZ+o//kH/Vg2MjkiUwWa38fOhn3l/6/sk5ScxvPlwpvWZRqvAml/H7VRWAa//Fse8rQk0CvDkybGduKJH0xo/oicuTJIwUSWnXnmVtFmzaPvXn7g3bHjxC5xMa833+77nlY2v0MinEe8Oe9e5ewXWVjPHO9aETdsBpqqtzboYm93GllNbWJ+4ng0nN7AnJZbnZhYQmgX/utdMkXvZvyQUijZBbege1p1+jfsxOHxw9dT5coHVu+NpOHcs4R65+E5Z7ZTpX+E6+dZ8vo79ms92fkahrZBxrcdxT/d7atZ6w/PYciSd5xfuZufxTAa3C+WVq7vRLLgW/cEiziBJmKg0e14e+4dG4zd4MOFvv1Xt/edb83l5w8vMPzCfqPAoXhv8Wq39Je5UxzbBZ5fCZS9B5JRq795qt3J01RIK73mYlJsv5cg1AyiwFeBl9sLTzZNQr1DC/cNp5tesdo12nceJjHzGvbeK3j4pfGp5FBUQ7lio7xtidGjiIlLzU/l81+fMjZuL1W6tNcmY3a6ZteEIry7eC8DjYzpy84AITCYZFattJAkTlZY6cyZJr75GxOzZ+PTuVa19707ZzeOrHic+K567u9/NP3v8E7OLR3xqjW9vhKPrYNou8DTu7ryEBx4g58+/aLVgPp6tav50T2UUWe1M/GQd+0/lsGBKFG1ytsGsayG0Pdy2AHxkWrI2SMlP4fNdn/Nd3HdY7VZGtxrNpM6T6BRSs2+uSEjP44kfd7Jqfwr9WzXg9Wu60zJU7qKsTSQJE5Viz8vjwMjL8Gzfjogvvqi2fq12K1/s+oIPYz6kgXcDXrrkJQY2GVht/dd4idvhv0Mg+gmIftzQUKzJyRwcOw6vjh1p8dWXdW7titaaJ3/aybcbj/HBTb0Z172J44n9S2HOzRDUAm7+HhrUzQS0LkrJT+GLXV/ww74fyLPm0a9xPyZ1nsTgZoNr7F3WWmu+35LAC7/EYrHZeWx0RyYNaimjYrXEhZKwmvmOEzVC+rdzsKWmEnb//dXW547kHdzwyw28t+09RkSM4McrfpQE7HRaw29Pgk+IY29Dg7mFhdHwkYfJ27SJ9G+rf3NvV/tg2QG+3XiM+4a1+TsBA2g30jEKlpsMn14Kh5YbFqOomFDvUB7p9wh/XPcHD/V5iKNZR5ny1xQmzJ/AV7u/IqMgw+gQz6GU4vq+zVn6wFAGtQ7h3z/HcsMn66XQax0gI2GiTCUjHN49e9Lif5+4vL+Mggz+E/Mfvov7jjDvMB4f8DiXtri0zo2sVNmen2HuLTDuLeh3l9HRAKDtdo7dcy95GzbQcs63eHXubHRITjFrwxGe+mkXV/cK563re5T9Xkze5/j/kbIPhj4KQx4Fs5QVqE0sdgu/x//O7D2z2ZGyA3eTOyMjRnJt+2vp26hvjfsZpLXmhy0JTJdRsVpDpiNFhR1/5FGyf/uNVgsXuHStT4G1gFl7ZvHZzs/IteZyY8cbmdJzSv3b/7E88tPhw0HgHQz3rKpRv+ytaWkcvupqlJcnLefMwS042OiQquTrdfE8s2A3wzs25ONb+uDhdoFJg6Jc+PVh2D4bwvvAhA8rvIWUqBni0uKYt38evxz8hWxLNs38mjGm1RjGthpL2+C2Rod3hpOZBTz+4w6WxyXTv1UD3ri2u1Tcr6EkCRMVkvXbbxyf9gCh//w/wv71L5f0kW/N58f9P/LFri84lXeKoc2GMrX3VNoFt3NJf7We1vDjPxybSd/1JzTtaXRE58jbuo2jt9+OV5cutPjic0xeXkaHVGFaa979cz8z/tjPpZ0a8cHNvfB0K+fNIDt/gEWPQFGOY61e5NQalSiL8su35rP0yFJ+OfgLG05uwK7ttAtux9hWYxneYjitAlrViBGy09eKWW2ax0Z34DYZFatxJAkT5VZ4+DDx10/Eo3UrWn7zDcrd3antp+Sn8P2+75m9ZzYZhRn0atiL+3vdT7/G/ZzaT52z4b+w+FEY9pRj2quGylryO8enTcP3kkto9t67mLxrz4bquYVWHv9xJz9vP8G1fZrx8lXdLjwCVpacZFj0MMTOh8bdYfwMaFbzK7aL80vJT2FJ/BIWH17M9uTtALTwb8HQ5kMZ2mwovRv1xt3k3J+TFZWYmc8TP+5keVwyvVsE8cz4zvRqUbtHo+sSScJEuViSkjhy083Y8/Jo+d1cPJo1c0q7NruN9Ynrmbd/HsuOLsOqrQxtNpTJXSfTu5Gx+1DWCnGLYc5N0H40TPzG5YVZqyr9++85+exzePfqRbMP/lMrpiZjjmUwbc42jqTl8cioDvzf0DZVG+mIXQCLHoWcU9DndhjxrJSyqAMScxJZkbCCFQkr2Ji4kSJ7Ef7u/vRp3Id+jfrRr3E/2ge3N6SUjtaaeVuP8+rivaTkFDKhZ1MeGdVBirzWAJKEiYsqOnKEo3f9A2tKChFfzsS7e/cqtWexW9h0chNLjyzlr6N/kVaQRrBnMFe0uYKr219N68AavldgTbF7Psy7Cxp3hUm/GFoTrCKyflvCiUcewRwaSvhbb1V7jbnySsst4s3f45iz8SiNA7x4Z2JPBrR2UgHWgixY/ips+Bi8g2DkC9DjRjDJTel1QZ4lj/WJ61mZsJJNJzdxNPsoAP4e/vRp1IceYT3oGtqVziGdCfAIqLa4cgqt/HfFQT5ZeQi71lzZM5x7o9vQJqx2/OyoiyQJExeU9dsSEp97DqUUzf/7Md49elS4Dbu2cyjjEBtObmB94nq2nNxCtiUbbzdvhjYbysiIkUQ3j8bD7OGC76AOsllh+Suw6k1oPsBRi8qrdu0UkL9zJ8cfeBDLiRMEXX8dYVOn1phRsaTsAmauiefr9UfIK7Jx26AIpl3ankBvF0wrndwJvzwICRsdU5TDn3GUuKgBa4qE85zMPcmmk5vYfGozm09uLk3KACICIugS0oUODTrQJrANrYNa09S3qUtHzE5k5PPJykPM2XSUQqudYR0acl2fZgzv1LD86xyFUxiWhCmlRgPvAmbgU631q2c9r4qfHwvkAbdrrbdeqE1JwpxDa03Bjh0kv/c+uWvW4NWtG+FvvoFHRMRFry2wFnAs+xgHMw6yO3U3samxxKbGkmPJAaCZXzMGNBnA4GaDiWoahZdb7VugbRit4eBfsOQpSN4DvW6FMa+DR+2cUrBlZ5P8/vukz5qNydOTwGuuIfjGG/BsXf0jobmFVlbsS2ZBzHGW7U3GYrczuktjHhjZnvaN/F3bud0OO7+DZS9DxhFo1h8G3AOdrgA3+cOkLsoszGR3ym52pe4qfUzKSyp93tPsSavAVrQKbEUzv2Y09WtKU7+mhPuF08S3idP+YE3NKeTLtfF8tzmBk1kFBPu4M6JTI4Z3bMgl7UIJ8DJ2PVt9YEgSppQyA/uAkUACsAm4UWsde9o5Y4H7cSRhA4B3tdYDLtSuJGGVZy8spGDnTnI3biR78W8U7t+POSiIkHvuocEtN4ObG0X2ItIL0knJTyE5L5mUghRS8lJIyk/iWNYxjmQf4VTuKTSO9427yZ0OwR3oHNKZrqFd6d+kP+F+4QZ/p7WM1pAcBweWQsxsSIqFoAgY9RJ0utzo6JyicP9+Uj/9lMxfF4HVime7tvgNHYp3z554deuGW8OGTr3brMhq53BKLntPZhF3MpuNh9OIOZaB1a4J8/fk8u5NuW1QRPVv/2Itgm1fw5oZkHEUfMOg4zjHer/mA2TdWB2XVZTFoYxDHMo8xMGMgxzMPEh8Zjwnc09i07Yzzg3zDiPUO5QGXg0I8Q4hxCuk9PMgzyD8Pfzxc/fDz8MPfw9/fNx8LvhvyGbXrNqfzI9bj7M8LomsAismBe0b+dOjWRDdmwfSOtSPlqE+NPL3kjssncioJGwQ8LzWelTx108AaK1fOe2c/wLLtdbfFn8dB0RrrRPP166rk7Dsomw2ndxUmmSgKf1coyl5vU4/9vepxce0LvOaEme3c7HnvQ4cxy05A2x2lNZg12CzOX552+0ou+MRux27zYYuKkLl5GHKyceUm49Hei4+p7LwSctFFXd1slUA2/s2YHN3b1JN+eRYcsix5GC1W8t8XYI9g2nu35wWAS1oEdCClgEtaRXYijaBbXA315K/pOJ+A138uqH/foRzj53+/6TM504/pyLPAYVZkJcGeamQdgiS9kJhpuO5Jj0cRVi7XQ/u1T+CuGp/MvlFNkqj18XfQ/Hnpx/XZx0//X1c8qnjvfz3MXN6Kv4bVxK4cTXe+2Mx2RzvN7uHJ4VhjbGENMTq54/V1x+bjx82Ly+02R272Yx2c0Ob3bC7uWGxKwqsNoqsmgKbnSKrndxCG+n5FjLyrWQXWtBaoRXEhrWlVctGRLYNZXDbUAa0DsFs9C8Yu90x4rntKzjwp6OsBUBgcwhtB/5Nwb8xeAWAuw+4e0PJiLIyFU9lqtMeTzvmCu5e0Ga4a9oWWO1WkvKSOJ5znMTcRMdjTiKpBamk5qeSVpBGan4qRfai87ZhUiZ83X3xd/fHy80LT7Pn3x9unmd87WZyJz3HzomMQpKzLZzKslBo0aBNgAmzMhPg5YGPhwe+xR/e7m64mU14mE24l36YMSmFUo7+TYBSpuKvVekHKJRSxe/O4v+e/TUXfv9W9Z3dqal/mdOw4X7hdGjQoYqtX9iFkjBXFrEJB46d9nUCjtGui50TDpyRhCml7gbuBmjRooXTAz3d8ZzjTF021aV9VNS/Fti4JLZiybIdyPOCPC9Fto+JQ03dSO3mR2K4N0db+0GAH77uvgS7+9Hcw/F5yV9VAR4BhHmHEebj+EssxCuk9iRaF/LdbWArNDoKB3cfx9ZDgc2h27XQpDu0GQFBzQ0N69EfdpCYWeDiXlpDx9a4t7PQNuM4bTKP0yQ3lca5qYQeTcS/6BB+ljx8LQWYqNj7vizhc+cS0KNqN5o4nckE7S51fFgL4dgGOL7VsS9oejwk7XHcWantRkfqENAMHtxtdBR1lpvJrXQ68ny01uRYckgrSCOjMIOcohyyLdnkFOWc+bklhwJrAUW2IgpsBRTaCsnOz6bQWkihzfFRYCvAZrdh0zZsbjYIsuJ5Vn95xR8pAJbij9rsYNmHJ3aYyNMDn67eWE7jyiSsrMT17J+o5TkHrfUnwCfgGAmremjnFxEQwXfjv3MEp07P0Ck9pjjz+OnH/n5QZT5/+nkXev70YWV75El0dg7KbEaZ3UCp4s/NYFIokxlMZpTZhJubBx6e3nj4B+Fmdq8RBQVrjLuWOoZjzhlFKHmNzj5W1nNU8rrTHj18a+wary/u6IfV5vgnVvrtos741v9+j/79D9jx/Gnncfq/n7LbKm3jPOdht4GlCCxWsFocjxYLWIvwNJvwNCtKB7RKRuxOH3Yr/tzDhTs+OIWbJ7Qa4vg4nd0O1nyw5IMlDywFlH6P2s45o6yuTNjqwh9htZxSCn8Pf/w9/Ing4mt3K8qu7Y6krCQ5O/3z4keNxm7XFFrtFFqsFNrs2LXGbi9+1NoxUWO3Y9d27JriY/a/Z5c4fbaoZMbnzJH0szljwq5FiA8e5nPvTA7yDKp641XgyiQsATj9z/pmwIlKnFOtvN286RTSycgQztWusdER1A1NKn7XZ33TsXH13UpfPvV4GxaTqThhr8evgag2JmXCpEyGF56tb1xZsGYT0E4p1Uop5QHcACw865yFwG3KYSCQeaH1YEIIIYQQdYXLRsK01lal1BRgCY4SFZ9rrXcrpe4tfv5jYBGOOyMP4Jh+vsNV8QghhBBC1CQu3V1Wa70IR6J1+rGPT/tcA/e5MgYhhBBCiJpI9s8QQgghhDCAJGFCCCGEEAaQJEwIIYQQwgCShAkhhBBCGECSMCGEEEIIA0gSJoQQQghhAEnChBBCCCEMoC60X1NNpJRKBo64qPlQivcrFU4lr6tryOvqGvK6uoa8rq4hr6trOPN1jdBah5X1RK1LwlxJKbVZa93X6DjqGnldXUNeV9eQ19U15HV1DXldXaO6XleZjhRCCCGEMIAkYUIIIYQQBpAk7EyfGB1AHSWvq2vI6+oa8rq6hryuriGvq2tUy+sqa8KEEEIIIQwgI2FCCCGEEAaQJOwsSqk3lFJ7lVI7lFI/KaWCjI6pNlNKjVZKxSmlDiilHjc6nrpAKdVcKbVMKbVHKbVbKTXV6JjqEqWUWSm1TSn1i9Gx1BVKqSCl1A/FP1v3KKUGGR1TXaCUeqD4Z8AupdS3Sikvo2OqjZRSnyulkpRSu0471kAptVQptb/4MdgVfUsSdq6lQFetdXdgH/CEwfHUWkopM/ABMAboDNyolOpsbFR1ghV4SGvdCRgI3Cevq1NNBfYYHUQd8y7wm9a6I9ADeX2rTCkVDvwL6Ku17gqYgRuMjarWmgmMPuvY48CfWut2wJ/FXzudJGFn0Vr/rrW2Fn+5HmhmZDy1XH/ggNb6kNa6CJgDTDA4plpPa52otd5a/Hk2jl9o4cZGVTcopZoB44BPjY6lrlBKBQBDgM8AtNZFWusMQ4OqO9wAb6WUG+ADnDA4nlpJa70SSDvr8ATgy+LPvwSudEXfkoRd2GRgsdFB1GLhwLHTvk5AkgWnUkq1BHoBGwwOpa6YATwK2A2Ooy5pDSQDXxRP836qlPI1OqjaTmt9HHgTOAokApla69+NjapOaaS1TgTHH75AQ1d0Ui+TMKXUH8Vz6Gd/TDjtnKdwTPvMMi7SWk+VcUxux3USpZQfMA+YprXOMjqe2k4pNR5I0lpvMTqWOsYN6A18pLXuBeTioqmd+qR4jdIEoBXQFPBVSt1ibFSiotyMDsAIWutLL/S8UmoSMB4YoaWGR1UkAM1P+7oZMlzuFEopdxwJ2Cyt9Y9Gx1NHRAFXKKXGAl5AgFLqG621/GKrmgQgQWtdMlr7A5KEOcOlwGGtdTKAUupHIBL4xtCo6o5TSqkmWutEpVQTIMkVndTLkbALUUqNBh4DrtBa5xkdTy23CWinlGqllPLAsWh0ocEx1XpKKYVjfc0erfXbRsdTV2itn9BaN9Nat8TxXv1LErCq01qfBI4ppToUHxoBxBoYUl1xFBiolPIp/pkwArnhwZkWApOKP58ELHBFJ/VyJOwi/gN4Aksd72vWa63vNTak2klrbVVKTQGW4Lhz53Ot9W6Dw6oLooBbgZ1KqZjiY09qrRcZF5IQF3Q/MKv4j7FDwB0Gx1Praa03KKV+ALbiWDqzDameXylKqW+BaCBUKZUAPAe8CnynlLoTR8J7nUv6ltk2IYQQQojqJ9ORQgghhBAGkCRMCCGEEMIAkoQJIYQQQhhAkjAhhBBCCANIEiaEEEIIYQBJwoQQQgghDCBJmBBCCCGEASQJE0IIIYQwwP8DC1Kjv6EaKtIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# KDE plot of all iris attributes, collapsing over species\n",
    "iris.plot(kind='kde', figsize=(10, 5));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Separate boxplot of iris attributes for each species\n",
    "iris.groupby('Species').boxplot(rot=45, figsize=(10,6));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>SepalLength</th>\n",
       "      <th>SepalWidth</th>\n",
       "      <th>PetalLength</th>\n",
       "      <th>PetalWidth</th>\n",
       "      <th>Species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     SepalLength  SepalWidth  PetalLength  PetalWidth    Species\n",
       "0            5.1         3.5          1.4         0.2     setosa\n",
       "1            4.9         3.0          1.4         0.2     setosa\n",
       "2            4.7         3.2          1.3         0.2     setosa\n",
       "3            4.6         3.1          1.5         0.2     setosa\n",
       "4            5.0         3.6          1.4         0.2     setosa\n",
       "..           ...         ...          ...         ...        ...\n",
       "145          6.7         3.0          5.2         2.3  virginica\n",
       "146          6.3         2.5          5.0         1.9  virginica\n",
       "147          6.5         3.0          5.2         2.0  virginica\n",
       "148          6.2         3.4          5.4         2.3  virginica\n",
       "149          5.9         3.0          5.1         1.8  virginica\n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1008x504 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot each sample individually, with one plot per feature\n",
    "iris.plot(lw=0, marker='.', subplots=True, layout=(2, 2), figsize=(14, 7));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<center><img src=\"https://raw.githubusercontent.com/mwaskom/seaborn/master/doc/_static/logo-wide-lightbg.png\" width=\"50%\"></center>\n",
    "\n",
    "[Seaborn](seaborn.pydata.org) abstracts away many of the complexities to deal with such minutiae and provides a high-level API for creating aesthetic plots. \n",
    "\n",
    "* Arguably the premier matplotlib interface for high-level plots\n",
    "* Generates beautiful plots in very little code\n",
    "    * Beautiful styles and color palettes\n",
    "* Wide range of supported plots\n",
    "* Modest support for structured plotting (via grids)\n",
    "* Exceptional [documentation](https://stanford.edu/~mwaskom/software/seaborn/index.html)\n",
    "* Generally, the best place to start when exploring data\n",
    "* Can be quite slow (e.g., with permutation)\n",
    "\n",
    "For example, the following command auto adjusts the setting for the figure to reflect what you are using the figure for."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adjust the context of the plot\n",
    "sns.set_context('poster') # http://seaborn.pydata.org/tutorial/aesthetics.html#scaling-plot-elements\n",
    "sns.set_palette('pastel') # http://seaborn.pydata.org/tutorial/color_palettes.html"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# But still use matplotlib to do the plotting\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.scatter(sub_df['age_at_scan '], sub_df.viq)\n",
    "plt.xlabel('Age at scan')\n",
    "plt.ylabel('Verbal IQ')\n",
    "plt.title('Comparing Age and Verbal IQ');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adjust the context of the plot\n",
    "sns.set_context('paper')\n",
    "sns.set_palette('colorblind')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# But still use matplotlib to do the plotting\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.scatter(sub_df['age_at_scan '], sub_df.viq)\n",
    "plt.xlabel('Age at scan')\n",
    "plt.ylabel('Verbal IQ')\n",
    "plt.title('Comparing Age and Verbal IQ');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's redo the scatter plot in seaborn style."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(x='age_at_scan ', y='viq', data=sub_df);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `Seaborn` example\n",
    "\n",
    "Given the dataset we are using, what would you change to provide a better understanding of the data.\n",
    "\n",
    "Information about:\n",
    "\n",
    "- Diagnosis\n",
    "- Sex\n",
    "\n",
    "should be encoded separately.\n",
    "\n",
    "One way to do this with seaborn is to use a more general interface called the [FacetGrid](https://seaborn.pydata.org/generated/seaborn.FacetGrid.html#seaborn.FacetGrid).\n",
    "\n",
    "Let's replot the figure while learning about a few new commands. Try to understand what the function does and try to change some parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/axisgrid.py:316: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 920.85x396 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(style=\"whitegrid\", palette=\"pastel\", color_codes=True)\n",
    "sns.set_context('poster')\n",
    "\n",
    "kws = dict(s=100, alpha=0.75, linewidth=0.15, edgecolor=\"k\")\n",
    "\n",
    "g = sns.FacetGrid(sub_df, col=\"sex\", hue=\"dx_group\", palette=\"Set1\",\n",
    "                  hue_order=[1, 2], size=5.5)\n",
    "g = (g.map(plt.scatter, \"age_at_scan \", \"viq\", **kws).add_legend())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With just a few lines of code, note how much control you have over the figure."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "solution2": "hidden",
    "solution2_first": true
   },
   "source": [
    "## Exercise 2\n",
    "\n",
    "Using a [pairwise plot](http://seaborn.pydata.org/generated/seaborn.pairplot.html#seaborn.pairplot), compare the distributions of `age`, `viq`, and `piq` with respect to `dx_group`.\n",
    "\n",
    "- Set a palette\n",
    "- Set style to `ticks`\n",
    "- Set context to `paper`\n",
    "- Suppress the `dx_group` variable from being on the plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "solution2": "hidden"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/axisgrid.py:1912: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 699.29x648 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_palette(palette='hls')\n",
    "sns.set_context('paper')\n",
    "sns.set_style('ticks')\n",
    "sns.pairplot(df[['age_at_scan ', 'viq', 'piq', 'dx_group']],\n",
    "             vars=['age_at_scan ', 'viq', 'piq'], hue=\"dx_group\", size=3);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create solution here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "solution2": "hidden",
    "solution2_first": true
   },
   "source": [
    "## Exercise 3\n",
    "\n",
    "Using a [violin plot](http://seaborn.pydata.org/generated/seaborn.violinplot.html#seaborn.violinplot) separate out `viq` as a function of `sex` and `dx_group`.\n",
    "\n",
    "- Different `dx_group` should be on each half of each violin\n",
    "- The x-axis should reflect the different `sex` categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "solution2": "hidden"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Draw a nested violinplot and split the violins for easier comparison\n",
    "sns.set(style=\"whitegrid\", palette=\"pastel\", color_codes=True,\n",
    "        rc={\"figure.figsize\": (8, 5)})\n",
    "sns.set_context('poster')\n",
    "sns.violinplot(x=\"sex\", y=\"viq\", hue=\"dx_group\", data=sub_df, split=True,\n",
    "               inner=\"quart\", palette={1: \"b\", 2: \"y\"})\n",
    "sns.despine(left=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create solution here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## From the Gallery\n",
    "\n",
    "You can reuse code directly from the [seaborn gallery](https://seaborn.pydata.org/examples/index.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  FutureWarning\n",
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/axisgrid.py:2015: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x504 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from http://seaborn.pydata.org/examples/regression_marginals.html\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set(style=\"darkgrid\", color_codes=True)\n",
    "\n",
    "tips = pd.read_csv('data/tips.csv')\n",
    "g = sns.jointplot(\"total_bill\", \"tip\", data=tips, kind=\"reg\",\n",
    "                  xlim=(0, 60), ylim=(0, 12), color=\"r\", size=7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   total_bill   tip     sex smoker  day    time  size\n",
      "0       16.99  1.01  Female     No  Sun  Dinner     2\n",
      "1       10.34  1.66    Male     No  Sun  Dinner     3\n",
      "2       21.01  3.50    Male     No  Sun  Dinner     3\n",
      "3       23.68  3.31    Male     No  Sun  Dinner     2\n",
      "4       24.59  3.61  Female     No  Sun  Dinner     4\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from http://seaborn.pydata.org/examples/grouped_boxplot.html\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set(style=\"ticks\")\n",
    "\n",
    "# Load the example tips dataset\n",
    "tips = pd.read_csv('data/tips.csv')\n",
    "\n",
    "print(tips.head())\n",
    "\n",
    "# Draw a nested boxplot to show bills by day and sex\n",
    "sns.boxplot(x=\"day\", y=\"total_bill\", hue=\"sex\", data=tips, palette=\"PRGn\")\n",
    "sns.despine(offset=10, trim=True, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/distributions.py:2055: FutureWarning: The `axis` variable is no longer used and will be removed. Instead, assign variables directly to `x` or `y`.\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `kdeplot` (an axes-level function for kernel density plots).\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/distributions.py:2551: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from http://seaborn.pydata.org/examples/distplot_options.html\n",
    "\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.set(style=\"white\", palette=\"muted\", color_codes=True)\n",
    "rs = np.random.RandomState(10)\n",
    "\n",
    "# Set up the matplotlib figure\n",
    "f, axes = plt.subplots(1, 4, figsize=(12, 3), sharex=True)\n",
    "sns.despine(left=True)\n",
    "\n",
    "# Generate a random univariate dataset\n",
    "d = rs.normal(size=100)\n",
    "\n",
    "# Plot a simple histogram with binsize determined automatically\n",
    "sns.distplot(d, kde=False, color=\"b\", ax=axes[0])\n",
    "\n",
    "# Plot a kernel density estimate and rug plot\n",
    "sns.distplot(d, hist=False, rug=True, color=\"r\", ax=axes[1])\n",
    "\n",
    "# Plot a filled kernel density estimate\n",
    "sns.distplot(d, hist=False, color=\"g\", kde_kws={\"shade\": True}, ax=axes[2])\n",
    "\n",
    "# Plot a historgram and kernel density estimate\n",
    "sns.distplot(d, color=\"m\", ax=axes[3])\n",
    "\n",
    "plt.setp(axes, yticks=[])\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>SepalLength</th>\n",
       "      <th>SepalWidth</th>\n",
       "      <th>PetalLength</th>\n",
       "      <th>PetalWidth</th>\n",
       "      <th>Species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   SepalLength  SepalWidth  PetalLength  PetalWidth Species\n",
       "0          5.1         3.5          1.4         0.2  setosa\n",
       "1          4.9         3.0          1.4         0.2  setosa\n",
       "2          4.7         3.2          1.3         0.2  setosa\n",
       "3          4.6         3.1          1.5         0.2  setosa\n",
       "4          5.0         3.6          1.4         0.2  setosa"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/axisgrid.py:1912: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
      "  warnings.warn(msg, UserWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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aJ8sayZZIxU0MXRBIQChbY8XEqASlwQRSMuIUSM5gBiWimziBj+N7WLr6p1Asb2prUv72m0cZHC4gNIEmwvMik3NobQ7d7SayTJ3M2nKi5ATANkP5iyw/r9mWjm0KYlElcVEsXyrnRhBAJufUvWfoGoVSeC5oAixTsLIjxfse3LIYh6pYQsz0mlpZr1b66nphcfxkzLTb/EzoaI2RK7pk8y6JuDXpcSoUSv/QYNJOAVs3MLXpbR6FEOEsimrWqLjeqGQNsvyjrF8+VhI2mbXlRMlJICWvn+hjcGQ0OYlHDSKWRiAFu7Yqxy7F8qVybmTyDhKJVlbeaAIcb3SU27Y0IpbJrq3ti3SkiqXETK+pM12vlkZ1m/f8gC3rm0lnHVzPB2VrrJiChg/bDw8P8/nPf57jx4+Tz9cXgH/xi1+cctvu7m5+7dd+rfp7JpMhm83y8ssvN/ow542BUo6mGfRAqZAwIww5BVZEk/N4VArFwuJ4Acm4Sb7o1zjFGDhlucpYSdhEkoFiyaVQrJcd5IsuPzzYzZWrOQCScRPbMiiUPKIRi11b21jXoRy7FMuXyrnxzafPACIctdYFCMiXzwdDF7S3xLljVwcb1zYv5uEqlggzuaZey3q1XKskdyJcLyBXcFjVnuDuW1dz5NQAJTcgHrXYe7Ny8VKMp+EJyr/6V/8Kx3F4z3veQzQ68wd1gM7OTr7xjW9Uf/+TP/kTfH9qXeRSY7CYm5G8q0LCtBhWTl6K64xRGcFod+KxMoIN7gXWpx+DkX4I2hHuI0AzAIWiS3FMh/jLfVl+eLC7KnG5qauVO3atwlAdsxWLRHD2EPJAOYab2hH7HkHrmrtVa1dnM2tWJKqSHU2DvoFwpt22dH72vTuIRnQitjnNnhTXCzOJtVqZ7VTMdL0K1yLJnYixfavWdaRY15HCtnViERXDiolpeILy2muv8eKLL2JZk+sZZ4LjOHzrW9/ic5/7XIOObGEYKOWvKUGJGzbDSuKluM7Yt7ODJ1+6APgYuobnB3XT+MHZQ8gnvwi6AZEY5IaRT34R/x0axY5tOM5oYXAQSF470cehN68CoU3mvbevZePapsX40xQKYPIYDvbTkCSl9hzyfYkfhHrGvTtXousC21J1izcK8x1r0zHd9XwypJQUSh6l0vIaaFYsDRp+hdu+fTs9PT2sX79+Tvt58skn6ejoYOfOnePeS6fTpNPpumU9PT1z+rxG0V/MkjRnXuwVNyyGSrl5PCLFQrCUY3IxmE5GIA88Ft5sK+eKaRNEE+QOv4xsGS34zRVcnjlwkd6BcJaxvTnKg3esIxmf2wDIjYCKyfllohiuLm/QLMp+4JUjPXT3ZsNla1Ns39BGNGIiFsgWttGouLx25jvWpmM2sjDPD8gXXXxPTrqOQjEVDUlQvvKVr1R/vvvuu/nYxz7GT/7kT9LeXl+896EPfWjG+/zqV7/KT/3UT0343he+8AU+/elPz+5g55n+YpbtTTMv9kqYNpfzI/N4RIqFYCnH5GIxVkbwwtMH+e4TDo7UseTb2Cgvk/OTpGWMlTGfrVxmRe9bVEQE3b0Zfniwm5ITjr7t3NzG3p0d6JqSdM0EFZPzzEh/OJpdi+/B5TP4n/1daGrn/KaHOdgfG/dQN5ll60TLKxLGeNTkvts7iUb0Zd3fR8XlLJgo1gwL+i/hf/lTDZcYzoUX37jEm+eGyBY8/CBg5+Y2br9JFcArrh0hpZxzevtP/+k/nf6DhOBv//ZvZ7S/3t5eHnnkEZ566ilaWsb3M5hsBOYjH/kITzzxBJ2dnTM78HngD175Fu9edzPtkcSM1r+UG+alvrP869vfPc9HpphPlnJMLgVeePogL57zEUiEkARSINGIag4rY1DwBbmCx93WeTrf8yEOHuvlyOl+ILQTvm/PWtavnn3xeyphod9gtSoqJucX/8ufgtzw6Kh2MQ+ZQRA6tK3inNfMU9yKHktgRqNVWczNm9s4dmYAXRd1cpmJlnt+QDobNj196I51bNnQTKLc/HS5ouLy2hkXawC5ESjkoKktTFY8B3wPsf8jM0pSpOcijJnVf9TaDNfG7P671tcNQr186DKHTw9QKLp4XoAkNG687aYVEyYpqgZFMRUNmUH5u7/7u0bspsrXv/51HnjggQmTE4BUKkUqtfSceqSUDDn5GXWRr5AwVQ3K9cBSjcmlwqvnHQQamqiMhwgMQ8OKJiiWhvEcDx2NN8wdHHruLa4OhufEytYYD+zrJBGbvaSrrlvyDYSKyflF7HskrAuA8AExV54JTzaDEBzUtqMHAWYpjYjFygXGPq8e7yMeNaoFx5Mv10hnwz4oq1fE2bg2taylXRVUXF4742LNc8LkJJqYlexLSgnFDCRaZ/T5tTbDMBqzB472VhOUIJAcPztINu+ADAelBRAgOXpmoJqgSCnp6c9x9MwAmiZ4/0Ob64rvFYoKDa9B+cAHPsCjjz46bvlP/uRP8rWvfW1G+/j617/O7//+7zf4yOafjFvC1LRraroYN2wybpFABmjixhrhVSxvpnOVqZWrlKSBEKOF75ZtELEMcnmHtB9BFxJdN0jngXyYnNyytZ09OzrQtGt/IBOAYWqYuoZhaEoWpmg4Wtdugv3lB8L+S+C5YTacGwEpSRsxbOFATSd4Q9dwXJ+mRJhwlxyfXMHFK3eDj1g6Zvn2UXJ8vHLX+JFsiedfv8TOze3KjvUGROvajX/zOXj1cXCKYEXCmpTYmPYEhhVej6ejlANvfPPbyRjJlhBAJless42v2Ay7nk+h6DEwXJxwe9cNkFJy4UqGQ6eu0j8UXuOFgGLJVwmKYkIanqCcP39+3DIpJd3d3TPex2OPPdbIQ1owBkrZa+qBAmBoGhHdJOOWrnlbhWKxmM5VZmzn4YyQSKmBFhCLGEhNI5N1CJAIoeMBlR50tqXzwN5O1nZce28g3RBYho5l6rNKbBSKa0Hr2k0A4bnglED6EPiQHSSVypITkbp6Ec8PsEwdzw9GO8WLsAljIMPfhRBYpsZIZrSLfFvKZiRTmnX3bsXyJjh7CI49D/EUNLWHMygjA5BPQ7zGzdBzwvenQLrl2ZdruDxaps7gcAGhiXKsSjI5h9UrQyvsiuuiroEfjN9eCPj6E6fr+qasbI1x5+5VyvBEMSkNS1A+8YlPAOC6bvXnCpcuXWLLli0TbXZd0V/IkjKvPclImRGGSnmVoCiWDdO5yoyVBEQNDVcKYlEbz3XI5R1AgBDUFsEZuuADD20hFp25LlkApqVhmcayLh5WLE+q50KyOaxBAUCwt/AqT8XuAzuBEQT4gcT3JXt2rOTYmQGyBReJRMhQgxi1NYqOTybvYJt69bxoSVkYho7jyWr3bpWg3FhMeL2NJqCQDWdTamtQ9j0y+X5kAPkMILmmDKVSqizDLXVNEI2bBH5QZwkfiZjk8u6Em1eSk3UdSW7Z1k5HWxzbVjMnislpWIJSays81mJ4z549vPvd138ReH8pR9Kaef1JhYRpM1TKszHZNg9HpVDMA5O5ypTlBWM7D7e1JyjmHQazJXxfghDoQuDXZCemoWGa2oyTE00X2KaOaSoJl2IRqZwLQgCtkEuD57LR7Wb/LU0c6IuQzjk0JSNVt65V7fFqp3itLJeJ2AZmyaVQ8smXm9rZlk5TMkLRqXSQv7bu3YrrhImut7FkOFsXb565i1c+C8H4BGI6HC8gGTcplHxMQ8O2dKSUpCdIRmxTo+SOn0bZ3NnErq0raG269mckxY1JwxKUX//1Xwfg1ltv5f7772/UbpcVVwsZmq6hQL5CojyDolAsJpNZn05IU/t4V5kaeUFTwmZwIIPredgRm6IIyOcdtEBiS4eiFsUvGwoLAcmYScHxyBc8/sejRzBNrWpPKZ0ComZ20TDCJnWmoS37gmHF8mCyeqvg7CEo5SE7CLoJsRS0doR1KK7DhmPfZEOimXMb7+fVAXjipQs0He1l386Ouk7xxZLH4EgR1wvqpImagIHhAroWPhReS/duxXVEUzsM9UKpEFpZ6wbY0TDepiE4ewh58PvlGikNdtzNeWs9B85kSRd7Z9TTpDlpky84GLpGvuSTyTmYhkYqMfq8k807yECOS040DTRN0DOYJ3f4Cru2hgOxR04NIEQ4MLX35qk/X3Fj0vAaFMMweOGFF8YttyyLVatWsXbt2kZ/5JLhajHLrpY117xd3LQYUM0aFYvI2JqRXMGZUu8+oatMjbyg087SJyEWj1ByXAqlADAwZImSFiEQYXKiEZBKRMgVXVw3nE7RBHhewOsnroLvcduGOFo0hm1q6LqmCioVC8pk9Vb+zefCugDTBrcUPjhmBqGYCwuZEy0QT3FuSPJUOoseDYhEo9Vzq2Ir7LgO+aJHEIQPa265qF4TofZ/JOugCYhFTXRNTNu9W3Ed0rkdut8MR3OEBr4L2WIYd4E3aXf5auzGm0OdVW6Qcy+9wlOJKLppErGtaa/1Uko2rE7yytE+HNeryrxcz2fbxhhD6SKHT/XzVvcwEzWtCALQ9XBmpVB0eO5ANwiBbWm0pCJk8lN/vuLGpeEJyu///u/T19cHQHNzM8PDwwC0tbXR39/P9u3b+cu//Es2btzY6I9edPqLuVnVkSTNCL359PQrKhTzxExsJGupczCaQF7QdzVHyoqQzhdxgorPr8TT7PAmKyWGDOtQXF9WkxO9PHpsaAJd1+juy3HfjhRmfHn3flAsXyart+LVx8Oi5UgcDLMq7cIphoXLLSvBKXBQvx1dyHF2w929WfbftZ7vPnsWKcPYd2scvxIxqyr1AnC9gHfe36Ue4m5Euk+GsVY7gyJE6MQ1hc2wPPAY2LHwvewQGBYHgx3oTh4z2oIQYtJrfRBIXNen6PqcuTiCJkATAl+GLl66rnH8rcFwIKmMpgl0TRAEAYGsKV0JQtthw9DJ5l0kEI+ZUP58KSe/1yhuXBqeoHzoQx8ik8nw8Y9/nEgkQrFY5K//+q9JJpN89KMf5c/+7M/4oz/6I/7H//gfjf7oRcUPAkacAslZSLySps1xNYOiWETG1ozA9Hp3rWt3nd9+cPYQ3qN/g1NyGfbuJHBGiEtJTMKQ3hyO/AFCBiT8LAYejrD4J+/aw/949Ahaebo/YhsIISmVAoazLqaGSk4Ui8dIf5hfZ4ZGHw5NO5R2OaUwOYmXpV1SwtVuSDSDZkApTZoYNrLO1rVybnV1Nod1JgmLoXQJPwif6GxTI5CymrC0t0QpOr56gLtBGCspZOAymGPcroIAGDNlMdZmOD0ILR2jPXqAtEhgB6PXdUFY61RyPBzXrzYIDTxZ3ftIziFi60RsHdcLKBQ9SuW6KICmhMWuLe28drKPiKVXr9eDI0UEVOMaqEtcqoetaqsUE9DwBOVv//Zvee655zCMcNeRSIR/+S//Jffffz+/8iu/wu/93u/xwAMPNPpjF53BUp6EaWPMolg3ZUYYUs0aFYtIU8Ku6uErXIve3Tt3FOeVH1AMdAIfjMIIBWEjEGT1RF1y0uSPoCHx0EnIsPYqFjUwdQ0BFEsuni8JAompq8REschYERi8UiOv8UJpDZT9gcvSLlpDwb0VCZOWYhYCjw+mv0Fei/FM00PVXdaeW5Vzr3b2JBIxyZSbNApxbeeiYnkzkaSQQhYKhPEltLA4Xpa1U7WMtRleuQ5GroYxKjTQdNpEEceIscq/zHBsA1I3KToetqVP6MAFkIiapLMlHDeoSzZMQ+O+29eyfk0KTQjOdI9QKDoY5fuIrolq35QKmgA55rKu4lsxEQ23vonFYhw+fLhu2dGjR4lGQ+mTdp267VwtZmiepU1w3LTJukX8YAIDcYViAdi3swPfl7iej5Thq+/LafXufhCQKziMvPYj8gWHwPNASnaVTlDUbEb0JnxhhENmMsAO8ohycuILnd3ro1iWxt4dHeRLHumcg+sGBEE4erdnU3xhvgCFYiYIUR65ppx0VzQsEjLDYfJyx3vC13wassM0+yO0eEO4dmrCc2vvzSvJ5EYfDGMRg5LjEZSHmS1Tm9G5qLg+qJMUChG+alqYkEDZLQ5AlItBStUBIHQT7ngvfhDOgrg77qVkxCnGWsnH2snqCbb757n/6mPcd/4rrL/0HAPDedJZh+1dLeOOxfMCjr81wEi2RKHkV5MTQxdEbJ2371vLxrVNaOVj2rW1DT8Ar3wfsUwdKcMYllLieT6mrmEZOp7nwzXcaxQ3Hg2fQfnN3/xNfuEXfoH9+/ezevVqenp6eOqpp/iDP/gDAF544QUeeWRyn+7lytXitTdprKALjbhhM+TkaY8kGnxkCsX0dHU2sx9m5OIlpcRxAzzfL3cIBjnQE7rKAK7UOGutw9HC34UMaPaHWe9fpkesIKvHSYkCt29MsPXt96LrGnfcshrP83j1+FUcL8DSBXs2xbn7pvGfr1AsKE4Rkq1h/wi/LNPSyiPXidYwEfE9QCL2fwSxZhtBNAEvfrs605Ld/nYSemrCcyudc6uzJ5YpMAyNdNZBiPBBcGVrfFqXJcV1xESWwrLct0QzCOw4gWFCNIn0PIK2tXjpIfxoE/Kmu9BaNiMzDtIpgN1KsOlOOHUQcoMQS7DJPY/p9ABwWe8gGrHYtbWNdR2jjmAlx+fE2QGOnRmoWlwDoQxYEzQn7HHbAOHvt4YOXZm8Qyphs21jCz39+fD3mMWdt7SBgJNnh3D9gHjUUi5eiglpeILygQ98gF27dvHYY4/R19fHxo0b+Yd/+Idqo8aHHnqIhx56aJq9LD/6CmlSs6g/qZCyogwWczNOUORwX6hLXbMFEVVJjWLudHU2T3mTkFJScnxKrk/gS4Luk8gjz4bafKcIMmAo0sEPgx2MWPHKRkghGDKaadbzPBI9i/GejxGxDXr6s3ztB6cYyZZIxS32bYrzq++5dhc8hWJeqVhqt5ZHeAd7QykNhLGvG6Hda0sHYuMtkB5ExJuQ+VD3fz65g8fSWwlkvk7qAnDq3CBPv3IRgIit8/Dd69m2sa3O8ltxgzGRhbumg9ChbRWl+EqKhVI5Bk3I5CCbA2EhPB8JyMALa6QAbXUXrO4C3yX2/P/GHAmTk1dWPER3ZCPJmo/OF1yOnhngxLlBvBrJoRCwvauFe3bXu7Be7E1Xk5FkbDTRqU1chBbWmOha2PNHCIEQsGvLClVbqJiShicoAFu2bLkhOsfX0lvIsCEx+0aLKdOesdVw8NoPkD/6BrSugsEexMP/DG37HbP+bIViKsIZE59iyauqW4Luk8gXv1n145fS55S3klf82/GFPr4KUgrOibXEWrt4R9zi4pV01dbYNjVyuSJPvVGAW5rp6pjdTKRCMR+Ms9TWdXADwhFtEVq+5hy45QEo5ZFOHvnM/wHfI6OneDp+b7U3hCthKF0MbYb7cxx68ypBWTYTs3UOHu1lYLjIsTMDM7b8VlxfTGjhbtmAANdBBkFoZV0qABL8WDh7XcggX/wm/j0/gdbcMSoJAwg8Yi98GbP3DAAvNN3PCfvmqvXvj167THNqgJ7+fDUeq8dTfj3x1hARy+D2m8JE/WJvmhffuIKuQcTSwhnwY33Yps6GNSk0TUPXhWqiq5g1DU9QhoeH+fznP8/x48fJ5+ubD37xi19s9MctGfoKGW5r7Zz19kkrwkBx+gRFXjyBfOnbiHf83+Eo3XAv8skvInUdsWXPrD9foagl1AsHlFwfzwvG5xtHng2TE8PCkTov2ndyzloJQELmyYoI1VubpNwh3uJMv8cjula1NTb0sODT1AWulBw4na0mKNJzwwZjF0+i/di/QKzZvIDfgEIRMs5SW8rQujXw65vmXb0AxRzy1cdhqIcAwXPt7yQXWAgkQmhIEc5CJuMmR05dJVcIJWOxiEEqGSGbd3j1eB/xqDFjy2/F9cWEFu4P/F8A4fXQKUI0Gc6oSD9MYiB8FRqcOgB73jm6w8An9uJXMK+8CcBrbfdxIrobQw9rmwolH8cNqpbWEVvHKdcB1s74BUiOnhmoJihHTg1gmxqxqImhawSBxPF8jp4ZYHvX7AdrFYoKDU9Q/tW/+lc4jsN73vOeamH89U4gJYOlPM12bPqVJyFlRrhazE65jpQBwRNfRNy6HxFvAkA0d8DbPkDw/f+J1rYW0aIKzRSzx/fDpMRx/boBOKifzk/ktxDTXC767XgYVJKRDe5F7uEE/9t8uLosYuvYlk425+AHks9+9RC5goslJJ7n4UuBLgKipka6UnM82IN85h9gOOypJId6VIKiWHDG2b3uvBde/m5YKG+YkGoLkxNNh1wa2X0Sjj4PwBupOxiKrcHPeNW6ZhlIXCkZyTp1DrG+H3B1sECuEBbL60JiJkYdmpQNq6Ji664XXfSSj//lT4Xaq1w/+H44s9eyKpQgVgh8oi9/DfPSCQCKu97BgYHtBF5AphCMNSnGMjWaEja9A3m0seorCa4b8OiTp2hORggCH9PUGBwpUij56JogFtEZTpf48mMnp61lVCimo+EJymuvvcaLL76IZVnTr3ydMFTKE9VNTE2ffuVJaLKinM0MTL3S2cPhtO3arXWLResquOkugn/8LNrP/GuEUFOqipnjl33vXS/AdSd2kqudzrdNjQEtRa80yzmIKEu6JE3+MFbMBD+89cVjFpomSOec6ixMpJysFKRESIGGJJCCrAMtooQ8+iPkwcfC0WmhIfa8E3HzPQvyXSgUFcbZvQ71jnbzHmsvnGwBz0c++5Vw4xXrOdt8N14pCBvXSVltXgdgGRqFUk3xcY2tMEC+FAAlkmXrVWXDeuMwkc3w2A7xQFijMnJ1NB4NK6xdMczwfRkQfeUbWBePApDf8QCn2u6g1DuCP4lhaCJmUiyFSXIgoeLyLqXEMDSitkEyZpIvOgwMlwikRBMCQdjYMV12o8sVHCVPVMyZhj/Jbt++nZ6enkbvdknTW0jTMofZEwiL5KeTeAWvP4nYcvvEhWVb9oT61EM/nNNxKG4MwoJ3j0yuRDrrkC94kyYnEE7n6xoYRmgb6WGV7S7DDvEaHoKA4/Z2EIIurZdEzAIkmZrkxA67LqJJHyTIcsEkQhAN8uzv/zby5e+EyUmyFfFj/xxx20Mq6VYsOOPsXkuF0V4otfbCpVIou/FKYb8K00Y88NPs3ZoikGAZ4dqV5CRi6xRrkpPQVtiv2gpXKJSuzfJbcX0woc2wboTLJ0Mrr18oqzBkQPTAt7AuHMJD47UNP84/ZG7h6SP1yUntLImmjXZ7N83wjUBKDF2QiFvY5Ua+pUr9FaPmYpVbgZRht3nT0Ktd6nVdcOBozayOQjFDGj6Dcvfdd/Oxj32Mn/zJn6S9vb3uvQ996EON/rglQW8hPeseKBWSpk3aLeIFPsYEMzEyn4HLp+H2d0y4vRACbn8H8rmvIrftU85einEE547gHv4RTj6HayeR2+5EW7ut+v7Fo8c4fHqIbGCQ0Dxu2dLCup03A5DJOwgk2XRxzOibBAkBOiBxhcnX5V10xCXt7lXOF8taacrygVQEfJ9AgiBAohEg2OScY3/2h0RlEYBz9kaurrmfC29GSL/RTVNqUEkFFAtLrd1rMV+2DJaAH7p2uSXwXLCsUFbjhrH7in0rrz0xQKDp+MLER1QTdEMX1R4/ED4gmoYWSr7GIIGi49OUsOnsSHDgaC9PvHRByWaud0b6w+f/zNBojVMsWd8hHsAtcSm6jiNiM1kjScLLsMs8ydr0FSKP/iXSL3EwciuvJu4gnzWBMCnWy2M9fjCaNEOoWhwcKaJrYY8TTQTEIia+L8kXPCxDEK+ZxSvnJmhitBljgBwnG/P9gMtXs3z2q4eqsQszs7RX3Ng0PEE5cOAAHR0dPP/883XLhRDXbYJyJZ+eU/0JhL1QkmUnr45oatz78vSr0NGFMCaXzonmlcg1Wwle/Cb6Qz87p+NRXD+4rk/p4pt4Lz2G74ezJxSuwgvfILj7/Wid27l49BgvvJlBR8cSPoVA54U3M8Ax1u28GVOD4aw3wd7FqM2LFBg6tMV00kWPomPyfvsImz/8i3z5sZNkC06olZYBupD4EmxZ5KHc82wrnQKgKCwOxPZxwt5C/mqUmFkgFreVVECx8FTsXn0fsoPUFY2UcmDHwYqCU6omJ2+ZG3jD2EZJWGF/IMoPcVr4AGhbRrXOBEIJZKE00XkVbvOxn9rN2e7hquOdks3cAFgRGLwyOlsX+GGy0rq6brVL5mpe9LegC4kVlCiICC9at/Fud4Dj5hbeSO7C0WyQ4a42dUS4ZUOcx18fIleaeLZcQBi0UrCqLc5PvWs7AF9+7CS5Qn0SrQmQuqC1abS9Qv9wgVp9R7Hkkcm5CG00dh97/hxISSRiqHhWTEnDE5S/+7u/a/Qulzw9+TQ3t6ya836arRhXC9mJE5RTr86oSFjcfA/y+/8TueediKYVcz4mxfKn6HiUXnkCSk7Z6UVUnV/kkWehczuHTw+ho2OI8JHKEOHT1eHTQ6zY6pEr+lN/CCKUAkR1SoUMuD46Ggejt7EZ2Luzg6deOIcrQsmAZWhECwO8N/c4LX7YL+KSsZofxe/GMyI4WAgZ4HgQFwJTV05GioWlaveaSxNaCuvhw6Kmh787RYg3letQICeivBTdiyNshJDIqoJaItCI2BrFmmTENMJHOWcSaaUoP+pVHO+Uq9cNiKjU943nCOvRCTAIQEqE9GmWeR5N/Ti+CB/tDOmxRetl1z23koiE8VN0JpfyRiMGlqlTKHrkiqOxum9nB0++dAHwMXQNzw+wjFCu63qjy2xTr3aHN3StmownY1ZV8jWSdRBAUsWzYhrmRdg9NDTEo48+ymc/+1kAent7r+u6lN5CmlY7Puf9NFkTO3lJz4XLb8Kqrmn3ISJxxJbbCZ7/+pyPR3EdkRkC3axfppvhciAbGOii/sali4CRwOIbT52udrqerK+WoQvicYt8wcN3PNB1jEQTad9ESklXMzx0SxPxiEHJDbgjOM6HM1+jxR8hQPBCZB+PJx7CM8LROB8NAfhS1HyGcjJSLBxa127E/o+ED4iBDM+XeFP4GshQdlPMh0kL8Ez8XqTQwj5AhGkJhJvrmkAvS2EqNCVs1q2aWIoroFqTMpIthXbcNahz4TrGKUKyNawrCYLwNdkaLq8hKyPouoYnBVktzojRwiWrE18Y2LLEbnmGn+Q57iy+Xk1OoOpfUoeuCZLxMInIFVxsS8dxRwelujqb2X/XeuJRi6LjE49aPHJfF4/cu7F+2b0beeS+ruoyKSFZU78CYTH9mFYrKp4VE9LwGZSXX36Z3/iN32DXrl28+uqrfOxjH+P8+fN8/vOf57/+1//a6I9bdIqeS85z5tRFvkLKitJXSI9/49IpaFqJsGb4GVv3wj9+DjlwGdE2dWfuy31ZunszNCdtNq9vVk2VriOCs4eQrz2JX/Srnd6prU3y3dB9CEhoHoWgMoMSzvLnpU1JWFDwEITFvbFomOSMZEp45TudoQviMYt83g0102W8AFJNFuRGwC3S1RFlY9JDPvcduBpKuki2oT/w01x+cRCtJj/SCXDREELQP+Kg6x62pdGSujGsyxVLCMMsS7jkqMrLLku7ys11h6MruWCuxxVGOTERCCRShiYQEVsnkw9Hky1T56E71nKme4Tu3mx1kLw2CQlkUJ0xaUqEEsfK76Bcva5rmtphqIey1ir8z3dDC+EyUkosHTJ+BE8ffYxL+Fk2Oue4JdKHKYKwRiper8gwdajJPbBNnUjEoFhyaU5GiEdNXC9MOGrp6myecIZj7LKz3cPVnw1Dww/qB740TTB2nEvFs2IiGv40+qd/+qf81V/9FZ/73OcwjPDEufXWWzl06FCjP2pJ0FNI02bHJ3bWukZarBg9hcy45cGFY7Bi3Yz3I0wbsXUvwQvfnHQdKSWPv3CObz9zhr7BPC8dvsKXvnOiTh+tWL5UrSrzI6FO3jQhnwldXqQMuxP7HmLX/QDcsqUFH4EnBT6QllFKIuxe3JKyufu21eFonRc6C1VMtQxdkIxZ5AsuruejSQ+pabg++IUce5vSVX2+vHgC+ehfhwk3wNY9iJ/4NcSKdeztiuNLDVcKpJShyxcaED7g+UFAruDR2aHMHxQLQ/UcMstdvD03PJ88Nzynyq6LJc3m0ci7MHDL8n1JUFMYb9tGdTQZYFNnisOnBxhOl4hYenV02fODsNeVDBuj7tkRNj7dt7MD3w9lM8rV6wagc3soKyzbrON74e+d25FScu7SCN999i2GghheWcrV4g3xzuyTPJD7IR3BICZ+GKdBEA5YVtAM1nWEag8hQlthy9LJZB1kwJzjq1IvVbEZNg2NXMEjV3Cq+7ZNHcvQVDwrpqXhMyiXLl3innvCngWVh3bTNPH96TTsy5Mr+RFa51ggX6HZjnK1b3yCwoXjiO13XtvONt8O//hZ5GBP2CdlDD882E1vf56H79mAaWhIKTl2ZpCvfP8kP/veHZjm7Hu6KBafUatKK9SLRJPhG64T3vSSLYhd96N1hkWQoVvXMQ6eSjMs48hyBrJtYwt33bIaQ9eIR81qo0YQRGxBPGKSKXjgOdiEN9QSFinDYS9vsvGtAeTmf4Z85Xtw4qXwGKwI4m0fQHTdUj3eTbu2AKc5eDZH2rdB04joEh8dX0p0TcO2dLp7p25mqlA0iuo5FImHsygVF6VoAooZKtMpT8fuQyMgrgsMQ5J3wZUBQgiipoZtGwylQ/nKhjXJ0D44CNDLMybhyHGpbDUczrDs2bGSe25bC5TlNSjXoxuG7pOhlLBUKLt4mWBHcS+e4utDJ7hydbQdQas/yNtyL7HJPcclYzXDRhtrZR84kXDmZOtetNVlabgZhUiMvDNMPGpg6BolN6DkuBi6QGii6ho32/gaWy8VL8+4u15Q3fcD+5SLl2JmNDxB2bx5M88++yz3339/ddmPfvQjtm3bNsVWy5dLueGG1J8ANFtRhkp5fBmglx8QpVuCgUswjVRrLMK0YPNtBC99G/09H6t772JPhuNnBqrJCYTJ5M2bW8kXXJ565SLvetvGhvxNikWi1iK1QiQBooD+078zbvVASgb0doYJkGXr0+1dLfQPFfnaE6dIxix2bW3jPfeFN7uvPH6SNsujNNxDs+sBEik0SsLm54Pvg+NxLmjjcdax74v/iZYgLISnYyPi7T+NSDSPO4ZNu7awaVf48+cev4JtCoSmhc0atTCJVjplxXwwtmO82PdI/TlkR8PE3oqGUsmaeoDLxirsoARaucbLsNACiRDwyNs38+rxPobSJWIRg/tv7+SJVy6M0+Dbpo7rBsRjJk0Jm1Xt9feUyeQ1iuuDuvjLjYTxVotucHpIcCWfBSGwghL3FF7h1uJhBOCaMeLJGHGK4ETQ3vMLo9tqOthxhBlKqBzXpzlpMTBSwnEDDF0jFtGRCD72U7uZCyPZcFawllgknEEcu28Vz4rpaLjE6/d+7/f47d/+bX73d3+XYrHIv/t3/47f+73f43d+Z/xD0fVAIxMUQ9NJmDb9tYXyPefC+hPDnHS7SdmyB956A1l2mYGwQO2JF89z6/YVdYVrECYpt920grcuDnNpopkcxfKhqT2UcdVSU3NSS77o8v3nz/HaiT4k0NoU4Y5dHZy7lKZQdLBNjULR4cU3rnCxN6yR6rBd8iNpfLem5kTqpMiD53CuGKfXT7I/9ywtQVgIfzByG+fWPTBhclKH0EglLDx0hG6ESQpKp6yYH6pSrtxwXedurEj9OaSbYNkwRoabCjJ4mkXJF2QcCLwwYY9YOk+9fIHzl8NzZt/OVdi2TtQyqqYTACXHJ5NzwlqVGtvVWi2/4vplXPwhIZ8Or9eaBoHHuXyEF81bSYkcayJFbike4bZqchIlm1w9KgerrTkxbIg3VZMTTYNE1KCnP4/rBtUO8JmcG7pyzZGmhI03pk29um4rZkvDE5TbbruNb37zm2zZsoWf+qmforOzk6985Svs3j2zzLxUKvGHf/iHvOtd7+LHf/zH+YM/+INGH2JDuZwfoS3SmAQFoNWO05sfvQHKy6fH+Z/PFGFFYMNOgoPfry47cXYQXROsnUTLb5o6u7a289RLF8N+GYplidj3SHizcp1QiTKm5qTC5b4s33jqNFf6Q9nAjq5W3vf2TbzVna52jq90F9Y1OHpqANPU2NX/LEVX4mIgAVdY+LrJXucw5DNEgiJ3FV9FJyCjJXi86Z0cjd3MwXOFyY44vJnGmiHVzh271xIESnevmH8m69wNlM+hUli3lWwJR7frEOzlND4aOREr95EIMHWNpoRNutyAsaMtxqbOJiK2wa3bV9TVlISSyVAOo7pv33iMi7+Kc2HgVy2GD0ZuQxcQlS6b829yb+FlAPr0drLRFVRrpCo1J0KDSBwRSyHKrnKmqZGM2+RL/rgO8MDkFo3XgKqXUjSShku8ADo6OvilX/ql6u+O4/Dggw/y9NNPT7vtpz71KWzb5rHHHgsdfPr7p91msSh4DjnPoWmOXeRrabGj9BTS7CbUH8vLpxEdG2a9P7F1D/IHf4u85/1gRXnp0GVu2do+ZVH/+tVJTp0f4q2LI2xe3zzrz1YsHlrXbs6sv8Ibl33ybhPCH2HXGpP15ZqTIJC8dqKPQ29eBcAyNO7ds5aNa5qAsHO8bdaPX+iBiyw4RL76H9gwdIGHrDQHI7eT1lOkyLE39wIbS+cAWOWH+z1ubeWZxH0EQicqi2F9SS1ChNpoKxLKEst0dTbzUO9ZDhzrJ+2bpHSXfTe3K1mAovGM9IdxmOmt79zteYh3fCR8gMwMlUezx9RSJprY6F7kZifCi7E7qLh3JeMmfYP5spRLsqH3ZbQfvoix+066Nu6qqykBSMZNIvbo7VjZrl4fTCQd1LrGDNaOk+PKMMGQQfifbpA2mrEpsb54ntvzLyMIk5NvJR8hLgtkgzgJcuyK9LP22PMEbzwVJiw334N+2zuI2DoR20AIgeP6RCydQtm4QQiIjrEVni2qXkrRSOYlQZmImfRByeVyPProozzzzDPVB+j29vb5PrRZcyk3wopIAq0BIw8Vmq0YV/LhKJ2UEnrOwo67Z70/EUshOzYiDz/L+VV3A4KVbVMX9QshuGlTKy+8cZlN65oa4lCmWFjeOvgaT12ysQ2BpQdk9Bgv9grE0WO0btrKMwcu0juQB6C9JcqD+9aRjI8mCMmYRaHoYFSsTd0iUeFgubnyQJtgo9vNRjsHgQ4jfXWfX8LkycQDnLG6qiN0WWK0aOUCT00P9fxWBKGPvwwFZw+x4fX/zQbdCJtKeg687hG06uNv8ArFXKjt3F2W1JAZhNbVYax17SY4dxT5tb+s3y6aBATnvGaOxW9Clz5SCKJRi1zBq9pwCyk5aW9hjXOG5BN/R7D/I3R17a4+tE3UpVvJYpY/VemWbtRJB4P91F/DmtpDeVdZhoVuhPIuw4bWVWBYpPI52ko93J1/GYGkX2/lO4l3kBdRNE1g4VOQMV70N3J3aYS1zlDYvPH4C0RiEaJ3vKP6cZahkc054XNL+dpcdHxao7OQkU+AqpdSNIoFS1Bm8pB78eJFmpub+fSnP81LL71EPB7n4x//OPv27atbL51Ok07X9wtZjEaQl/LDDZV3QSjxOtB/PvwlMxiOoMTGd5a/FsSWPchXvserGzawef3MEo61KxMcPT1Ad2+WdauSc/r8G4GlEpMVDhzrR0fHFBqipjP8gVMZCudPU3LC0bKdm9vYu7NjXP+bXVvbePGNK+D5GIZGBI+SI9nnnwJNQMvKUE5QykOpOObTBd9NvouL5prQKFiOOvqLaAJiTWFiMkUc1skeoPoqDzwGKkGZEUstJpcFE8hag0IO+f3P1ywRYRGzYUF2kIOJ+9ClT4IcBbMJ3dDJZd3q/mKiSCJi8bqzhg36m+NieKIu3dezLOZGicuZXsPEvkfCRAbCmLKjkHPCV00HTeO+3AuscHrQkAybrTwW3U9WT2EHJQxNAjqG9MAPOKJvZq24hB5LEqOAceCbUJOgVKVc5fykPMnXEImXQtFIFixBmQme53Hx4kVuvvlmfvd3f5c33niDX/7lX+bxxx8nkRitmfjCF77Apz/96UU80pCL2SHa7Mb2ZWi1Y/Tk06OzJ61r5jyDIdrW4JsRIt1HWbfzHdNvQJhQblnfzIGjPSpBmQFLJSYrpH0TW3hUyswkUBImJWxwQi/6+/euZd2qiZPfdR0puBWOnh4Im4Jl0+zzT7HRHAY7EVqv9l2s9oKooukQSIb1FpIyT4EIvtDRhSRu6ziahRjrUDMRE7mQGdao1atiWpZaTC5ZnGJYX5LP1Eu8nCJSSuTj/xOyw+G6Qg9nXKLx8gCSJK2nsGURTWgkkgY96VHjCFs4xA0w8Bl07Qlj+EaTxdwwcTnDa5jWtZtgP6NSsJYOuOXtcPl0WEOYz9Lh9gKSYS3F0yvei57LY0qXiO5TbUoV+OhATo9jxJPE/SxabnicLNFxfZJxi3zRww8kuiaIxc2GSLwUikbSsATld37ndyZ9kJ5pD5Q1a9ZgGAbve9/7gLDBY0tLC2fPnuWWW0Z7Jnz0ox/lgx/8YN22PT09fOQjH5nl0c+Oi9kh9q1Y39B9xoxQZpNxi8R7z0Hziobs90pqK/v6j+Do75zxNhtWpzh66mz1pqmYnKUSkxVSukvO1zEJO7pniOERyrVWtsZ4YF8niZg15T7WdaTY1NlMPGoSfPW7YbFwJA6FXNhB262ZOan0iyjPKKYoMhTEwlE5EY7T+QG0JkfjaEp99ljZA4Qyr6alK/lcaiy1mFyyVGKttl9ULg1uieDz/2ZUvqgZoQQsngqL5YUGmk5K5sglV5MURZxsGj+IURmbNqSLa6cYLgUIHM55zWxsGi+xvZFkMTdMXF7DNawiJaxFFnPIM68jf/C3oZKieSUt7/5F3m0kKJVcvvfUSQrSxPAdKr7VUjNYFfVIpIcRxVy4nRWpP6yEzeBABjwvLMgPJF4poLVNDUQqlhYNS1A2bJi6kPvXfu3Xpt1Ha2srd911F88//zz33XcfZ8+eZWBgYNy+U6kUqdTcZE9zJZCSK/kRVkQae1ILIWiPJLiST7Ol5yxi/c1z3qeUksP5Vh4uvcLgSC9e08ykA4ahsX5NikMnr3L/3s45H8f1zFKIyVr23dzOk4dHyAYGGc9GlsXGG1vggfu60LTpZ+UsSyMWMQEJe94Jz30ttFj1vPDGW5HDbN0Da7fDgX8Mb8BmhE45yCXRhkAiCPClIO8E7LZDC+3p9NnjZA8VF7J9j8zDt3V9stRicqkyLtbymTABSbVBujzarZuw/mYYvBy+57nlImbJ3tYcz+UL+JZO2ivbIwE6Aa4RR5cC1/OJSY+nuJX9m5rYtDh/6pLgRonLuVzDZDGLPHsY+YO/C2f1Uu2IR34hlMi6gNDY1aHz4iUJUkPHRxgm0ViUXQNPI0rZanyyp35QstPO0u0ECARCyHHXZoViqdCwBOXXf/3XG7KfP/qjP+Lf/Jt/w5//+Z9jGAZ/8Rd/sSQvZv3FLBHDJDqb/iTT0GrHuJQbZkvfBbj1oTnvb3CkiESjtHYHsTefJX3Hh2a87abOFD88eIm33b5mXJ2CYumyae/tDORe5dmzoSe9IOC2NTq33blzRtubpkbU1kP5SzGP1tJBcMvb4cVvQ6GsHzcsxH0/We0IHxgmvHkAPJfuQjMx8jiajY+GLgIs6XLxYol7mF6fPU72MJkDjkIxR8bFmluCRHMoX5RBOFMSS4a1V7c8AK98N5TNWBHY8042XjqFjLi8lFtNntAFr0WOkBUxIpEobrFISuaxdYlrpzjYH7uhE5Qbhdlew2Qhizx/FPn435Z7V7Ui3v0LiFh5MFQzIJZg7fAx7vYlR7QuXLuJNqvEzsFn2FB4K1yvHJ/6Pe+v2//Fi4PEsHGEOeG1WaFYKjQkQXnhhRdmtN4990wf/uvWrePv/u7v5npI887F7BArIo2tP6nQase5NNwDmhaOmMyRC1cyrGiNUmrbSfPLXyZz248jzZlJtlIJm0TM5Gz3CFvWj2/yp1i6rN+5Hav7JCtaYtx3+1piM3Rp0XWIaR7y5EHk609DegAiMfIjI8S8cJTtsrGKN9vuZODyKtKnr5CKGey7aQtdH7wXoRuk/+fTxIRHnFF5pxSStF8+hhnosyeSPTSaI4OX+X73cfqLWdojCd7VuYNdrWvm9TOXK9fjd1WVGfZfGtXqlwrhyLNT7tmTaIZkK2RH0O98D9z5nrp9lL70Z7RoQzTRRC/NmHg8rB3hcX0vmg5pX6MgkhCA7Wn4yj54XljO8em/8E048lwoISxkw9mWwIdEc5icxMPENyyijyNcCZlB1kairIueJ677GIVhiAegt6J/7M8n/ay0bxITDnHc6rKssOj2m/hPf3sAy9TZs2Ml99y2tiF/29nu4RumvkrRWBqSoPz+7//+tOsIIXjiiSca8XFLggvZwXlLUNoicQ72X4CWVdOvPA1SSi72pNm9rZ0gYuE2ryZ6/iD5LW+b8T42lmVeKkFZXnS0xfnVn7mdXMHB86ZvuillgB44xKWHPHsMXvhmeMOUHsHAZWJIfAQvRfdxMHIrgWtgD+ZIJaPkHMlTbwwgInG6OptHa2DE6Od6UiOll2+KS6DG5MjgZb505hV0oRMzLIadAl868wof5o5rerAp+S6BlESNqWt6ljON+q6WElWZoe+FbnRSljX7MXDyoysadpi1T2CHLaWkEF9J/2CeN0XYUPc2cY5okMeMRxjKuXXrl9wAXQ/G7UcxN5ZifM7UZth/4Ztw+NnwWpsZCm2uAUwb8e5fRCTK910zCvEkouQDPqRaMYRPTDjo+fKs9gyuoWOvzTls8tIGIdEEuJ7Pi4euAMw5STnbPcyTL11A1wURSydXcHjypQvsB5WkKKalIQnKk08+2YjdLCvOZwfZ2rRyXvbdHknQ4xaRTXMvkB8YLmDoGrFo+PBUXLuT+JvPkd98z4xtBTs7krxx8irZvDNtYbViaTGTWhMpfXBLaF6JeERDk5Lg8LNhfBSy4XvAkJbiB4mH6DNWIMsF947UEIaBJUKd/YGjvXR1NldrYJABhgjwpIaPxr6bw5vtUqgx+X73cXShY5cfPG3doOSHy2fyUBNISdYtUfAcEmZk2vWXM3P9rpYiVZlhPlPu4B2EsVhr/mBYYUlJdhjx4M+M20fJ8fA27eHlwauAoJks24NzCF2nEJh4vjtum3zRG7dMMTeWYnzO2Cr9zQNhUpLPjyYnEPYxSbaGP0fiiGil3jWc6bP37if6wv9BeM41XUPHXptzMryna2gIoSGAgIBXj/fNOUE5cLQXXReY5X5a4evofUKhmIolZTO8XJBScjE7xH0dm+dl/zHDQgQB6aY25jpncbEny4qWUVtXt3Ud2pvPYg5cwG2fWYd6w9Do7Ehy7MwAd96yeo5HpFgqSM8J9faegxAwlPf5/sER0nmP7ZkO7sqfR5fhzfCotZ3n4nfjiVCiVSm6l1JA3wWkEOhWjJG0wP/s59nQ1M5DTes4OBgnLeKkZI696y027b0dmL0++1qZSvbRX8xWXfMqWJpOf3H6YlHH98i6JY4OXeH5njMYmoYmtGUlK7kWpvquxn7H25pW8uZI35KQ2kzpFFeRGfpe2apVjCYqFWJJyA7BptvCmK3Zn7dqM/nN93BWdnBVhA+Wd3pH0RIJBrc9SOGIknItFJPF56XcMH956InFic2R/jC5zQzV21fXyFhlKR/aVVfkhLV4DsH/+vdh36i1W9Hf/QvVt0xTI77pJqT2wWu+hobX4Nc4cKw/lNwKgUCg6aM1pgJwHJ8vP3ZyTtKskWyJiKXXLTN0jRElc1TMgIYnKNlslr/5m7/hlVdeYWhoKOznUebpp59u9MctCiNOgUAGJGZYxzEbVpQKXG5eM6cERUpJd2+GXVvaRhcKQXHNDuJvPsfwDBMUgA1rUrx+oo87dq1SneWXMVIGYVLilCAIR3eFEAzlAp5+YwBDutw78iO25Q4DhEWUmuDZ+NtwhYEWdvRCIJHl1/KO8UpFUpTCh76hXjbm3mRjPBU2GvUcuOARnF1dvYHOd43JdLKP9kiCYadQHXUFcAKf9imkm1JK8p5Dzi1xcqSP71w4jCY0VseauFrMLrqsZL6Y7LuK6Ebdd9yTT3NqpI8mK0LCjCyq1GZaiU1FZqgb5aL3aGifXSGWCt26nCKcfDkct75yGnQDmWojny9S/NG3eSUSuiRtXJti7R2/yOWrGd440YcfTCyrVJfPxjNRfKadIiXfY9gpEDMs+gphbCbNCClrAWLTisDglbLVuhbGWGYIWtcggyB0RHQKYYxNhGGFMZgdhGPP4wc++nt/CVPXMGwNIQRiltfQTXtvZ9Pe8Of/50uv4Xr1rSCCcnPdXMGZkzSrKWGTKzjVGRQAzw9U2wLFjGi4LdMnP/lJjh07xq/+6q8yPDzMv/23/5bVq1fzcz/3c43+qEXjfHaQjlhq3h7UZSlPS6nApTm6Zg1nSgghxhVHF1fvIHLpCKKUm2TL8bQ1R/A8Se9AfvqVFUsO6XvIUi4cDS5mR5MTTSMeNTl4aoRW9yrv6/0/bMuEyUmPvpLHEu8ABLcX3igbBldSkvD/VlBEAi46vtDZW3g1vCGXCvWvph0+2B14bMH+5lrZhxACWzfQhc73u48D8K7OHfjSp+R7SCkp+R6+9HlX544J9+cFPiOlAlm3hASe7zmDJjR0oeHJYNz+rycm+64Qou47LgYuAsj77oTf+UJSJ7GZIAbFvkfCkW07CmakPjkxbTDMUP5VmVk5+XJ1f66VwPd8DunbKHpg6II7doY1g29dHMELJJY58fV7+0ZVy9doJorPvF8iYVrV2Mz7YWwWg0WIzcqzgmGFsyjlWROZGQQ5QZ84KxL228kOQ6WP3MmXATBNvaHPHnt2rERKCGSAlEH5FWxLwzTCzzINHV0XHDjae0373rezA9+XuJ6PlOGr70v27ZxZqwPFjU3DE5Tnn3+ev/7rv+bhhx9G13Uefvhh/uqv/opvfOMbjf6oRSMskJ/HpkbDfbQJnW53gmnfa+BSb5b25si4i5m0ojjtG4mdeXnG+xJCsH5NkiOnrs7pmBQLh5QSWSog8+lwpLiUr5OvCCGIRwwM4bO25wDv7fkyTe4QARqvR3fzVPIBeo2VIAPu8g5zV3AMU/oEaFjSZXvpJCuCYUrCJh7keSj3LBudC+HOK7IZv0ZTvcCd4PuLWSytXl5QK+Ha1bqGD2++g2YrSt5zaLaifHjzxKOpJc9lqFSgVKMRHyjmyHsOfcUMb470IqWcsURsuTHZd1X03Lrv2AsChBB4wWicLdp3MtIfxlwtNTGode1G7P8ItHWGdq4VhBaOXOdGCBNxGS6r1KiUGQ6iHBfrANi9bQWJmIUA0rkSmhC0pCLjkpSbulp479vnRxp8IzNRfEZ0q642bMFj0ymG7m+aEU5JxJqgfS2MDEDgIbNDyO99brSfVAXDgmhiVBpWQc6PucI9t63l7t2rMQ2dQIZ1IpapjZvlmI00q6uzmf13rScetSg6PvGoxf671qv6E8WMaLjEKwgCksnw4T0Wi5FOp1mxYgXnz59v9EctGucyA2xMtk2/4mwZ7qPdtDkxkS71GujuzbB5XfOE7xXX7iRx/ElyOx4o66+nZ8OaFE+8eIEH71yPoTc8t1U0COk64JXCG2QQgOdTmfGoUp5ZM4ojyGe/yl0jpwFIa0leiN/FoN6CKwxSWinssB1LclfxAnelXwU7BplBzpmdHNRvpzrCXOHqpfBmWnkQ6D0fxpgdhRXrFuQ7gMllSbUSrl2ta6aUd9QWwlfwgoCXrp4j65UIyt+rrRkT7v96YqLvaux3bGganu9j6KNJy6J9J7VOcaVC2B3ec8GyCc4eKksNBeSGQtkjjD4cFrP1D4eBH8ZwPg2lArLk8TJ3I3WNpCiwa0vonNQ/nCeTcymWPHRdIxYxaEkZuF74cKaSk/ljbHz+5aEn5hybUsrZz1ZU4q+1AyLxcCYkOwiaRvDtz0B/dznpEOFsSSQOWrn3VG541Pa6wgT36SlrrK6Be25bW1cQ/+XHTjKULlByAvxAomsC29JoSUWn2MvEdHU2q4REMSsa/pR500038corrwCwb98+/uiP/ohPfvKTbNy4sdEftWiczw7REZ2/5pFysIf2WJI+r4Q/dnRlhuTyLkXHI5WY2HXLS3UgdQv78synt+NRk+akzVvdI7M6JsX8IX0vbPA10l+WceXG3+AqlJMTs/sY8tG/gcthcvKmtZlvN72bAbMdVxj4UrC3dCQcTS7mwhuqaUMkxrnoZp6K3UdORLFlkZyI8lT8fs6Z68YXGkP4ezEH8eb5/SJquFYJ11gc32O4lK8mJ1JKTgz38P8ce4bHuo8RlK0CYrpFV7IdJ/Cvaf/XA2O/44hmIoGYbs7qO28kVQlXLh328vHdsPrXtJBPfhH/hW8in/1y2AMFwodDwwxHtEtjBodkAK2rw335Hm+JtfTooYvjHSuK6LrG5asZXj58peqc5wcBmbxDruAoWcsiMDY2Y3oYmxFtZrFZ8ByCWd5/oSb+KslvPg3FfPg60D16jbTscD3fC2dZ8pmJ61LGXDurNVa54foaq7OHZn3MFTo7EuQKHn4Qinr9ICBX8OjsuD4HXxRLk4YnKH/8x3/M2rVhJv5v/+2/xbZt0uk0f/EXf9Hoj1oURpwCXuCTmk9b0ZE+rHgLCc3gqjs7t4tLfVnamqOTj/4IQbFzF4kTz1zTftevTnJUybyWFDI3Ej6AFbNlm8qpb6pRI8B86VHkE/8rlH1ZUWheiRWLYGuSkrCIay4P+a+y0Q5HjEkPQrwpHOkTgoOx29CRmHjhMx8+upQcjO2ZWIogBCCgATfPmXItEq5aAinJOCWGS3nccpLXW0jzhVMv8fdnDjBQyqEhuHPFBj7UdTsd0SRu4M14/9cTY7/jVbEUP7Z+FyujqWv6zueDqoTLLQEyrB9JtoZxrBtw7EcwVNbU60aYnNixsrRrDHYsTPzjTbh6hB+J8KG2M+ilM30SGK09iUdNUgkbXdOQElxPKlnLIjA2NldGw9hcFZs+Nh3fI+vNzWmqGn/xZigVIZoM48h1RmeXU23hjF00UU6AR+ptrmvJDdf9Ol2N1Vzo7s0Sj5phDCPQy7WK3b3Xn3xVsXRpuMRr3bpRCUdrayt/+qd/2uiPWFTOZQZYPZ8F8p4bjtLFm2j3ilxyC6yyrj0ZutSbYVV7fMp1Sh1biZ15EWP4Cl7zzOyDKz1RcgWX+Aw7kyvmGc9huqQEIOg5R+TsQazLx0ZnV4QWOsk4BTaaw2yUb4ZSBMuG5pWQzoJphSN6kdF4SssYtu5AoCNWdCKvdmNokKYZVnSGsq4KFd2+lKF8YZbMplP0dBKusbiBT8YpVhOTQ4OXeOziMTI1DytbUit4d+fNrCz3JbildS0JM0LcvDF6BFX+HS7nR/ACH11orI0387Nbll5ypnXtxrdjodxGiHAEe7AHdAt8Z1TGJTSw46GzkgzC3yvSwCAIY3/kKrglDsTuICtiaATcoZ8NawUYrT0BsC0d29KRUlJ0fJWcLADfPn+YH1w6Qcn3sHWDh9fexPs23HLNMekFPiNOsc6BtCH4PqT7a2pORDibEkmAFGG8TSXrHjvwU7HJrqVBdX4j2RKxiFF3j5dSKntgxYIyL4UEX/nKV/j5n/95fuzHfoyf//mf58tf/nLjT/ZF4nxmkPb5LJAfuRqO8AmNNsPiYunaXbMc12coU6K5aRorP00PGzcef3rG+zYMjTUrExw/M3DNx6VYPILLbxF7/XtEuw/XS79kEBZxQjiy57llGVcyfJBzcuFNUIjQeaYsfUmJPJ7UwChvaxhhp3hRjtdKAl+byMsgdKeZBRXL4IplaMUi9Mjg5VntbyxSSnJuiaFiDjfw8QKfR8+9wVfOvlZNTjQhSBgWd6/sqiYnNxqVf4e+Qpq8W8LxPQq+S08+3dB/j4bS1B4m8cV8WAOgG6HUq3Z22jDD86KSQMsg/F0GoJVjv9z757B5EwA7g7MkgwwkW7AsjYht4vn1D5HKUnVh+Pb5w3znwhEc30MTAsf3+M6FI3z7/OFr2o8sz54GDShIr5NgGSZcPT+anAgtlBQGQTiLrYnQknhswlHHmEHRSlzXMoNO8jOhKWGrWFYsOg1PUP7iL/6C//7f/zvvfOc7+cQnPsE73/lOPv/5z/OpT32q0R+1KJzLDszvw8lwHySaAWg3rFk5efVczdGcDCUG01Fcu4to9yG0wszrSjauSXH4VP91k3Re74hCluSr38DOlOUsY5yt6pIIMxLGX244fIATWvh+vCl8PzMMUrI3OImPhmunQvtIO4WPxt7gZHgTtirFlCL8PfDD1z3vnNXfMJ1l8FxwA5/hsn1wICXHh3v49LFneHXgYvkvEKTMCCsjSWzd5PmeM3Xb60LHmKMl+HKh8u9QsRHWNa1q3bpULZZHa1FGwpkT0w5nSqoraKH0Jp+u37ASs5WH1Vgob7ytdISb5AVuyR8G30Pb/QC2ZbBnx0plqbpI/ODSCQSgaxpaTVz+4NKJa9pP1nVwaru5z4GqBEs3oe9CvemCKBuL6EYYV/mRMImZSpkx5r26Ghcpw9cZdJKfCcoeWLEUaLjE6+tf/zpf//rXWbVqVXXZQw89xAc/+EE+8YlPNPrjFpwL2SHuXtk1b/uXQ1cQ1QTF5vnstc9UXLqapbVpZiPV0opS6thG/PgzZPa8f0bbtLdE8byAnv4cq1eoormljLxwnOhzX0VUZuLsWFhHMtgzfmUrMmpv6TnlEb5yEhqJARKyI1DMs7Epxv5NTRzsj4WdhpuS7N2ss+EtB0bysHJ9eNO8dKpcnKzB9jvR75lZjEG9ZEMiSZqROkeuiSxCp5OB1e4zZUbYv3Y7t7d3IiX05NN8r/soZzOj51xMN0laEbSyg46p6QyVv0tT04kZJrZu3jDNS/uLWTSgVH7YEuXw8PyA3kKavkKa///rj3MxP1wntXnv+l34MsAcmxwvAFrXboL9IL/9mVBOk6mVwJST74oFt6aVk5JK3MfDWcNkU/izgDvzr+JYq8h5JdhyD/bG7Ri6FlqqAgeO9s6p+7bi2qlcI/ya2WHBaJxW+Nzx5znQf4EAiYZgX/t6fnHHveE+PJfCHOtO6qhIsNIDNdKt8nVC00PJV6o9TE7ca0+KtK7d+Defg1cfD2f+rAjseeesXLzGomJZsRRoeIISj8eJx+PjliUSy/9BdkEK5Id6YWN4gWnSTXKBTyHwic7wxh4Ekt6rOfbuWjX9ymUK62+l+ZWvkN35DqQ9dd0KhP0zNqwNZ1FUgrI0kZ6DfPl7cPLl8JYoNIjGw0LNibCi4fvZEWhfEyYwvjeqw4fw5zWb0X/6dwDYVP6vjr23AzXyhpaVoS7ac+DK6Rp716mpSDYEobTKk5K0W0QIQVN5dmasReh0neMr+9SAJjOCoWl86/whevNpioHHq/0XqpU8W1MryHsORd+rJicVNiRbabKiRIwbrwYrYpj05EYQVDuE1CGBNzOhiYYhNBzf43sXjmJpOg+u2bbARzuK1rUbv+sW6H5zNPnQ9PChTmihw5wQo3LHwAfTRv/l/4T/5U+V+wgVwvU0LdzGMBAXjmFt2AgbdwLKUnWxqFwjapGAXjNw8Lnjz/Ny/2htXIAMfz8O/2z73Yy4xRlU8l0DFZthCGMr0RrWl4rye3YsrO/LDNTPald67ggRzr5ANR5rCc4egmPPhwNOFbnXsecJVm1sWJKiYlmxmDRcl/DRj36UX//1X+f555/nzJkzPPfcc3z84x/n537u57h48WL1v+XI+cwgq+azQD7wQ7ekRCin0YSg3bC4dA39UPqHC0QiBrY185HKIJqitKKLxMmZO3ptXJPizXNDOO4kVraKRUMOXEZ+879UOw+zqgvu/WD48OU54QNaNckuu79E4+HMiWmF79vR+tdrlA/M1WFmnGSjPPI44hQmtQidTgb2g0snMIVGeySBEDBcyuPJgOf73uJgOTlZEUnwT7fcyT/dehcPrdlOIAMc38MUGnHDIm5YPLhm2w2ZnADVh3ttrB5+AipSm7hp8dwYWdxCIz03TLzzNVJWSTgrUjVumFiOWJXSlOWN1Y1jSaxYBO3g3F2TFHNjspqR2uUH+sMmsqLmP4Bjwz1k5qEovho30QR0bg+vrZZVvsYG4aBQdig0JLEjo1ItuyyPlUwpj51PFy+FYinQ8BmUP/mTPwHgpZdeqlv+wgsv8Md//MdAOAJ//PjS0ypPx4Xs4Pw2HEv3hxczffThp92w6XYKbJnh517uzdI2Q3lXLYUNe2g++FWy2x+Y0SxKNGKwojXKibOD7N624po/T9F4pAzg6I+QB79fbSwn9rwTdt2H0DSCSByOPBcmIm1rIJYM3bYMM3xI23ZHOOI30g8tq+CWB6D75OyagM3RYaZULnatoGsaMvAJgLznTCjf6i9miY3pHF4rA9OFRsqOkHaKlAIPv2a8NKqb7F+znX0r1qOXZ0y2Na1E33ArhwcvMVTKY2sG+9du5+aWmTneXY8UfY8WO0bGKyF9v9qoEkBH1H2nECYpEd1kZI5NZ+eC9D3kyFU4+qNwgW6OWgoLHVauC61gzx6qk8pU5IhVidg3/0u4vaZDvAlR7gHEcO/i/GGKGipzehMtDwkmeN/SdCKGUXXtayTVuDnwWGhAEk2OJhnnj8HApTCO3v5PAEYbLq6YOh6rzKOLl0KxFGh4gnLixLUVpS0nzmYG2JBonb8PGOyBZEvdojbD4oKTA2aWBFy+mmV717UfYxBrotTeReL4U2Rue9+Mttm0tonXT/Rxy9b2G0aDv1SR+TTy2a9Wmy6SakM88E8Q7Z3VdbR122Hd9pqtQv29mKWz1pTUdvGucA0OM7Zu4PheXWGoQBDVDf70zp+YcJv2SIKefJpi4OIFAYamEdFM1sSbcAOfmGHRX8wQUP8ooyP4+K6H6pIbAUQMiztXbuBtq8YJ2W5YKp3jK41qL2aHkOVvc2xyAhDXLfJeCWMRak8AZBBAbgT50rdCh0ShId77sfC8iDUhKqPV06B17cZfs3k0pq0YttDQR4Yb4pqkmBu2blD0w+aGktG0pLZmTUPUJSkagpQVJT1B8lzwXI4PX+HOFV20RacfsJsMrWs3dO1Guk7oIAdhgnzL/YixneGvVZY1x2usQrHUmTfrmStXrvD666/P1+4XhYu5ITrm0cFLDvYgxiRAKwybizMcfUznHDw/IBGbnfyk0LWP+KkfodU63ExBR3uMUsnnSn9uVp+naAzyfH1HeLbuRbz/1+qSk/EIiCXnJzlh7g4zD6+9CUnYjTuQYSdjWV4+GduaVpJxi3i+jwA838cNPHY0dXAhM4AuBD7jx1nfvnprNTkRQhAzbNoiCVJWZNEerJcqY7tzW9MMTOiaRs5zuHvlxoU5wBqkDMLu2mcPwYlQ7ij2PByeF4Y94+SkwtjO4FYpDW6pIa5JirlxS8uaupqoys+3tIzOsO5rX1/3XpMdJe+V2N5U70x1criXTx97mkfPH+IrZ19t8JEKiCbGJyez2dM8ungpFEuBhs+gXL58md/6rd/ixIkTCCF47bXX+Md//EeeffbZqvxrOZJxipR8t1qgOy8MXoZNt9YtWmHY9LhFfCnrCv4m4nJvhramyKxnM4JIktKqbSSOPEb6jg9Nu74Qgk3rmnj1WC9rHlDF8guN9Fzk0/8beejpcIEVRdz7AcTGXdNsKSCWuuYHtGuhTt4wC4nY+zbcAjBh47XJeHOkjyYrQt53CaSk1Y5hazpPXznFty8ewSnLOCpiEFszeFvHJh5asw1daEQNk6hhjiuKV4yyq3UNH+aOqlOapunYaDi+j0QiEBhCw5cBEd3ECwIeWL2Nt6/euqDHKWUA2RFkegD53NfChau6YNf9VB4Sr5XamDadLELXEfs/0pCCZMXcGHGLxA2bvOdU4zBmWIzUdGX/xR33wvGwFiVh2vhBwObkCn560x4glI5+7+JR3hi8BITyr8Y6dgqIxBFjit1ny1yvsQrFUqfhCcq/+3f/jgcffJC///u/56677gLg3nvv5c///M8b/VELSjh7Mo8F8r4XFsyVLYYrWJpGUjPodYusmSY5utSXZc3KuSUK+Y17aXnxS+RuehA/Of1U8ca1Kb737DkyOYdk/MbopL1UkId/OJqcrNqEePuHEJV+JVMRS84qOQnOHrqmm2FF3jBbNibbWJ9orVoGA/zloScmtRDuL2ZJmBHaIwkszeBqMcPlQhq/XPwaK9eZ7K2pMxlrFTybbvU3Grta17CrdQ1HBi/z/x77Id6YAuWoYRLRTT5x67vIeyWklJzLDGAIjbZZJAbXipQScmmkW0Q+99XQQtiKIO7/EELTwI4iyiYHCx3TisYw9jy9nB8ZN4CnCzHOhvwXd9zLL8i3MVIqUKrpd3J8uIdvnT9Mtmwz3JVs4wMbdrN1zOzKnDCt0JRhlkwaqyoeFdcpDU9QDh8+zH/7b/8NTdOqD/PJZJJMZmayoaXKhezQ/BbID/dCrGnU5rKGFWYo85oqQSk5PiNZh51b5jY6I60ohXW3kHzjOwzf99Fp17dMnQ1rkrx2vJe371s3p89WXBtizRbkmi2Izm1w8z0zkw1EEwh7qm7FE1O1DdaNsDAzN4x88osE+5mXEbuxlsF9hTSnRvpImhFSVmSchTBARzSJGwQ4gcf57GB1xgTgnpVdPLh6G9Hyg6mlGWFiUuPGNZ1NsWKUyncVjLN2De2g2+04Ba+ELwO+df4wrw5cpCvZxu/dtgDyk3wa3CIceyHswwOIt30g7C+l6WEvFBY+phWNYaLzNOeW6upLKnHYNoHhS8YtVZOTnFviOxePcmToMhDOmjzSeTP72tfXmXTMGSEgmpy9ukHFquIGpOFahra2Ns6fP1+37PTp06xevbydb85nBlgxnwnKwGVItU34Vrthc8HJT7n5lf4sLSkbrQEdrQvrbsXuPYUxdGlG629d38LhU/2UHGU5vJCIjg3oP/OvEbe8fWbJiR1DzDKGF9rScqxlcN53qx3LJ7IQDqTkzhUb6M4N1iUnptB4//pbeM+6nUQNE0szaLZjtERidcnJRJ/ZyG711xuV72oiZyRbN8i4RZzA5x/OHOTVgdBWflvTynk/LlnIgFNADvYgK/a/W/YgusrSwEginEVB2bQuVyY6TyeKQ2BcAXzWKVHwHACODF3m08eeqSYnm1Mr+PWbH+COFRsarpQQhonQZz8erGJVcSPS8BmUX/iFX+CXf/mX+ef//J/jeR7f/va3+cxnPsMv/dIvNfqjFpSLuSF2zuMoquy/jEhO7L610rA5UkhPuf2lnixtzQ0qeDYsChv2kHr92ww+9C+mXT0eM1nVHuf1E73ctVuNNC9JzMjkTRrLTCl3WQBLy1rZxohTIKabDDt5vCDAL8uIfN/jQnYQgSBp2gjC+rDHLh7jmZ5TdbMmptBoMaN87+JRfthzGkNobG/q4J9tv3vCz5/OplgxSn8xO6E1qwCSps1QqcCfvPaP1QfHFivKyaFe/jLzRENkc+Ni9Y53I1ZtgmIurM165v+EBcTJVsTdZVdC3QotWysom9ZlyUTn6WR4MuD/96Mvg4TWSIyoZnAhN4wja64Tmk6TGaE/n+Hr597g3lWb5zWZvlZZIaBiVXFD0vAZlA996EP8zu/8Dv/4j//I6tWrefTRR/n4xz/O+9///uk3XqIUfZdhp0DrLKQxM0FKGXqiTzKDstK0uejkJ20k5QeSvsE8bU2NK3ourt2JOXwZ8+rZGa1/U1cLrx7rU40blyK6GRbFTzEqWJUQ5IbrJQRnD4UrVDoV19JAS8uKbGPYKRAzLAIpSXslPN+f9CIlpSSQAX/82vd4/PIJnCB074obFh2RJJbQcJE02VGKvkd/KcfzfW/xuePPT7i/9kiiLsGB8d3qFaOkawqQKyRMm6Ln4cmgblRbANEa2dyRwcuz/txxsVrIIF/6DsGp0HFJHngslMwKLbTaNu3wCKLx+nNgnmNaMT9MdJ5OhgSCICBlRejJpzmdHahLTgBEEK4XNS3SbpHvXDjMmyN9jT9wZnCdnQwVq4obkIYlKEeOHOHNN98E4OGHH+bP/uzPuOmmm+jt7eWHP/whudzytaK9lBumPRKvFtY2nEI6bKw3SQFpTDOwNI2r5QK+sfQO5IjHTEyzgZaomk5+w15Sh747o9VTCZsVrTFePaaali0pNCPsdTKN9G86CcF8W1qOlW1UzrUAWdcLBSCim6Qsm7zv0FfMMuwU0IUgZUZotmK0RRK0RuLYpkXed+gv5iiVJWIw2lF6LGMtdCfqVq8Imah3hKXpGEKrFhpX0IBi4DdMNlcXq7oOyTYo5eDwD5Hdb8LxFwAQtz2EWFGui7Oi49yTlE3r8mSi83QyDKHRGomTdgrj+vTo5SuCg49Vvu5YuoEmNJ7vOTMvxz5bqZaKVcWNSMOeuP/0T/+U/v7R6cY/+IM/4Pz58/zMz/wMp06d4lOf+tSM9rN//37e/e538xM/8RP8xE/8BM8++2yjDnHWdGeH53cU9epFaF5BbdfbsXQYkUnrUC71Zhs6e1KhtHo7RroP8+q5Ga2/c3MrB4/1ki+6DT8WxSwQWpiczET7PNIfSgZqqZEQaF27Efs/EnY4LuYh3txQi9X+YharpudIgERHhCOg5ZlDU9NpsaIEMmDEKVbduW5q6uDXb34QU+isjCRImhGcwGewlJ/w4WUyvfqu1jV8ePMdNFtR8p5DsxXlw5tVgfxE+FJWbx660EiYNlHDYqgmcam8LxD4wajT15xlc7WxatqhS1cgIT0QunYBrNwAux8oH4AGEzTbm++YVswPE52nExEzTJqsKIOlHIWg/jpgICYtgjc1naHS1DWfs2aa6+xkqFhV3Ig0rAblzJkz7Nu3D4B0Os0zzzzDt7/9bbq6uti/fz8/8zM/wyc/+ckZ7euv//qv2bZtW6MObc5cyA7Sbs9fgiL7LiJSU3eKX2nanC3m2Bevr1ORUnL5apZbt8+s0/w1oekU1t9O8shjM6pFScQt1q9O8vxrl3jnPRsbfzyKOoKzh5BvPA3pQTBM2HVf2C0eCHudNFXtVKvrT6Z9nkFX4mu1tJzOsrf2/bznUHAdfCHxys0ZKx3KpZQkDRtPBnUPwBCOgrq+z9fOvUbEMEi7Rcxg6suaNsVAQMVCVzFK3nXwAp+z2QFe7jtHbz5Dkx1FSomhaYAg65bI+vUzJ5WURCLRa2bw5iybGxerMoxV3w2TFSEgM4R87H8iV5e7v/eeh1TrOL2/smldnow9T3/l2S8RINGEIKqbRA0Lx/cYKE2s3PCQ4UxEDYIw2fZlQFskzjfOH6YnP0LctGddN+W/8E149XFwimH9kx0LY3UW3d9VrCpuNBo2g+L7PqYZPgy9/vrrrFixgq6usMnR6tWrSaenLvJeylzMDbFiPv37+y6UZ1Amp8OIcHaCGZSBkSKmrhGLzK57/HQUV9+EOXgRY/jKjNa/eVMbp88P0zuwfCV9y4Gqljk/ApYdygRf/BbBxZNUGzFa9vj1J9E+N1pCMLamZGztwdj3NSAfuLi+V26kKBFATLeImxZZr0TBHz8zFzVMDF0jopnkXIfeQoaMU0BKiV0jyaztMl3pKK2YGRJ4Y/ASXzr9CieHe+kppMm6JXKew2ApT38xS3GCf5va7SOa3jDZ3LhY9VwoFcLkBMJeE9E4pPvh1MFwhtqOzFzvr1h2pHSLFitGqx1HAAPF3IQ1UrWYmk5EN2k2IyQMm1Y7RkQ3kUgybpFLuWGEELOum/Jf+Ca8+K0wTjU9fE33Qy6tpFoKxQxo2AzKli1b+N73vsd73/tevvvd73LPPfdU3+vt7SWZnNpBqJbf/u3fRkrJ3r17+a3f+i1SqVTd++l0elzC09PTM7c/YBICKbmSH5k3iZfMj4QjKNM02OswbbpHCuM6yl/qzdDWPI/d7XWD4tpdxI8/xcg9Pzvt6pals2trG489f46PvG9H3cjp9cxCxiTUaJkNK7zRGRbgwPEXYfsd4xox1mmfofoqDzwGXbsb3pW4tqYEQuvZkh8u39W6Ztz7HqFkSJZlXVHdxNJ1sm4J3x8vyYroJgnTwvF9iuUu5ik7igSKvocmHDamViCDgNOZ/nB0FcG+9vVhR+kbgEbG5PM9Z9CERjFwCGRQlddNhSHCXlgPrtrK5fwIhbIcZ64uXnWxWsyHse+WZ29MG2Ll+4WUYY1KdghaV42LecXi0Mi4DGRAznUINEHRK01bPG8IjUi5kWggA0w0EnYEU9O4kk/THkmgaRpBAKYeSk7HXrtmzKuPh7N5FemqKL/6XijVUt3fFYopaViC8tu//dv8yq/8Cp/85CfRNI2///u/r7733e9+lz179sxoP1/84hdZvXo1juPwJ3/yJ/z7f//v+Y//8T/WrfOFL3yBT3/604069CnpL2aJGhYRfX5mKOg5By2rmKr+BMIRyJRucMkpsL7sJial5FJvlu1dE9sTN4ri2p20vPj3ZIoZgsj0ieaGNSku9mR58Y0r3Hv72nk9tqXCQsYkMLHtpBmBQE7ciHGi9X0fLp/B/+zvQlM75zc9zMHU+xnRSjQlbPaZHXTN8vD6i1k0oLdsE2xoGoEf0FtI8y+eDa8NUc1kRSyMJy8I0ISGpRt0xls4m+mn4IwflY/oBs1mFF8GDJUKeDKguebvTVkR8p7Dn975E7M88uuHRsbkUClPxDDxg2DKaXdNCOKGRVS38KSPlPCBrlsRZc1/o/pLVOQu0nMJ/tcfhSYjQgMrGsa670OyGQrZ8IGwwhytWc92D3PgaC8j2fI5srODrs7mOf89NxKNiMvPHX+eA/0XSJg2buBRmKJQfnWsCVNo5FwHXRMUPJeEYRMgkVIyXCrUXS/+zcvfaIzduFMMExTfDZNlIcIY9T30n/6da9vXHFAxq1iuNCxB2bdvH0899RTnzp1j48aNJBKjMw4PPPAA733ve2e0n0pDR8uy+Nmf/Vl+5Vd+Zdw6H/3oR/ngBz9Yt6ynp4ePfOQjc/gLJqY7NzyvDRrllbcQLTPzXF9tRnirlKsmKOmsg+9LErF5Sp7KSCtKacUmYqdfILvrXdOuL4Rg384OfvDiBdavTrFu1cxnz5YrCxmTwKgOv9LXoVIIPFl/gLG6/VIBMoPlztoxzuUsnjo8gh7ziUSj5AoOT750gf0wq5tZxDDpyY0gRPhgOlGxeiFw6S9kaI8miRkmptAoBT6nRnrryth1wgfblBVBSsh4JdzAx5PBuLRe2QKP0siYbLFjpN0iuqbhTzJKnTBtIrpJ0Xe5Wswiy7NWhtZAd8ExyOe/BoNXwoe/RBNkR8KfI3EIAnAKYX1WhTlYs57tHubJly6g64KIpc/5HLlRmWtcfu7487zcP9oMeqrZPENopEwbUzMYcQsMF0sY+miD0YmuF+2RBMNOoTq7O9l602KYozN7iDBJkX59/ck8o2JWsZxpaKPGRCLBrl27xi3ftGnTjLbP5/P4vk8ymURKyXe/+1127BivVU6lUuNkX/NFd3aItsh4B5hGIAMf+s7Dhp0zWn+VGeF0McuD5YL67t4MbS3Rhne9nYji2l2kjjxG9uaHYQayrWjE4I5dHXznmTP87I/tIJVYuIvyYrCQMQmhDl8++cXwgUs3w+LLQg5x/7unXh/CJCYzHP4cbwIhOKhtRw8CzFIaEYthGjrgc+Bo7+xuZLUPDRMUo1aWuDIgrpnkNGPSgtaEaWPqBlm3SMn30IWGlGGNiq0ZlHwPS9NxAl/ZAtfQyJi8d9VmvnPhMJbQyTE+QUmZETQhGCjmquYGML/1PvLiCeTB74e/7H4QLhwLfxYinC3MDoW/+0G5VsWZk97/wNFedF2Uzw3mfo7coMw1Lmttwh3fm1TWVUmYC55HHhetLB+NaCZSykmvF+/q3MGXzrxCyWdu15VIoiZBkfXLFwgVs4rlTMM7yc+FgYEBfuM3fgPf9wmCgM2bN/OHf/iHi3pMF3NDrE+0zM/Or16EWFN9d+MpWGNGeSU3VP29uydD17qpa1cahZ9aQWBFsa+coLT25hlts6o9zraNrXz18Tf5mffcRHSeCvlvRKo6/DeeCXtARGKIO98zqZZ5XI0JEpItVdlXWsawhQPeqB2soWuMZCfuvTMdRd/D1HSKwfiZE0l4448bNr4MOJ25iitHP9fWDFZFU/i+RxEfx/cZKOZoMSMIwtkYWzd4eO1NbEy2TekUpmgM25pW4qzdwTfPjy8wj+omuqaNs2ZdE0nxizvundbNbbbIc0fCH1asQ9z2EPL06+WEWwtnCAFiSSgVw1qVOer9R7IlIlb9bNBczhHF7Ki1CZ/o+iIQtNhRvCAg65TIiVL1mrGvfT0jbnHKWNzVuoYPc8fcY1aIMP4K2VGJVzQxrq/TfKJiVrGcWVIJyrp163j00UcX+zDq6M4Ns6dt3bzsW3a/iWib+UWvRTdxZcCg52CWoOD4NC3gzERx9Q7ip3804wQFYOuGZoqOx/957CQ//a7txKIqSWkUVR1+EEzbiLF2fQD/y58KJV9lUiJPLrAwjdH9eH4w6/iSUk748GBqOgnTDnuZuIVqjxOAnc2reVfnDlrsGC/3nePFvrNk3RKeDOseht0iP7Z+F+/bcEvdPlVCMv9k3CI/7Dld/TeNaAbFwAtrTkx7wr4RPcUMnzv+PG9l+9GFXufm9mHm3l9G7H0XJFpg9SaEpiOTLWGy3rwSCplRl6S2tQ3R/DclbHIFpzoaDXM7RxSzo3YGFkAXoirz0hC02DGKvkfOKyGAldFUdSbkrWz/jHobNcRuvCKrTdbUiLqlsEB+gVAxq1jO3BgWS7Ok6Llk3GJdEW6jkDKAS2/Cis4ZbyOEYK0V5VQxQ3dvhhULJO+q4HRsweo7g1bIXNN2u7a00dEW50vfPc7gyNTWj4prZybJybhtxli17g1O4qPh2imklLiej+9L9u3smNUxZT1n9LMIteDNVpSkYZN2Cow4xWpysjqa4he23cP/tXkvrZEYSdPm+Z4zDJXy1d4GuhZ2L/nBpROzOh7F7LlayPDZEz+ip5BGQ/BTG2+rPhAmDJu85+DXzIBVEIRynIpbW6M6yVf3H0uh3f4ORMX8Ydd94Wx0Ph3WnzTYwnXfzg58Pzw3GnGOKGZHvKbOLmnYmOUaJ11otEZiFHyHnBfOEEiYl9ibCUuh+7uKWcVyRiUoU3ApP0x7JD5px9k50XchdJyJXlsB+RozyolihotXMrS3zKO98ARIw8Jp7yJ67sA1bSeEYOeWNrZuaOV/f+84p84PTb+RYl4Z25l4Y9xh/y1NJJqSFB2feNRi/13rZ61T9gIfHYEpNFJWlCYrQs51GHTydUWtUd3kX+y4n43JNmzNoNWOEzNtRtziuORbTFJsr5g/LmQH+ZujTzPk5DE1nZ/dcge3tnXiSR9b07F0nUJNMlrB0nSEEARIrDFF8nPuJD8J2rrt8LYPhNfVeei23dXZzP671hOPWg05RxSzw9ZNoloo/qhcIzQhaLaiZF2HvDd5T575ir2JWArd31XMKpYzS0ritdS4lBuetw7y8twRxMoN17zdOivKt4au0FSM0LwI07Sl1duJnXmR3I6Hrnnbrs4UTQmTp16+wNlLIzx4xzosc/4cfhRTM7Yz8abyf40gblgYmoathd3dR8Y08osbNn7gU/Rd/uOhx2myoty5YiPvXh8aRti6geN7dXptKWWds45ifnEDn78+8jRZr0RUN/m/t9zJukQLb470ARAzbHJuCV1oeGNmUNzARxBKbpzAn7sj0kwwI+jz3G27q7NZPdwtMu2RBMOazgrdIKabOIHPiFMg7zlTNgyFhXf5Wwrd31XMKpYragZlCi5mh2idBwcv6Rbh8mnouHaHmzbdouj7RNoshLZw8q4KbvMaNCePMXRpVtu3Nkd5+J71ZPMOf/fNo1y5ujCjWYqFww183rF2O0XfpaeYIV/z0KAjaLcTBDLAkwEtdgxLM+jLZ/jG+UN8+/xhAB5eexMS8IOAQEr8ICyNfXjtTYvzR92A6CLU83dEU3xs+9uqycl3LhwmodtoQlDwvXHJCYTSmgDYkmzHlz4l32tYJ/kJqVgLK6573tW5oxpTyLCureC7FCZITvSyqca8xp5CoZgXVIIyBRdzQ/PTA+XcMWhdHTbWu0aEEKRKGtnmxh/WDA+AUsdWYmevTeZVi2no3LFrFTdvbuPrT5zilSNXkDPoTK1Y2ji+R7pUoCc3wlCpQMkftf8UwKZkG+sTrXiBH0oy7Bhe4JP1SghN1NWYvG/DLfzY+l1YukEgJZZuTFggr5g/NKHxr297hE/sficrylLUSkf5tYlmBKFjUgUDrfq7QBDXTYSm8eHNd9BsRcmXO8nPpEj5mrFjCEMZcNwI7GpdU42pUuCRMiN4k1gNV6Rf8xp7CoViXlB6iUmQUnI5P8K7G5ygSBkgTx9EbLl9VtsXii7xgsal+OLZBJY6tpF64zukb/vxGfVEmYzOVUlamiK8+MYV+gbyPHJfF4aucublRsn3KHgORc/l9cFufnDpBJmy/3/StHl47U3c2trJ6fRVXux9i2Y7yrBTYKiYC7s5Q/lhl7oak43lhKZi9bkx2Tbus+fLwlYx+t0GMsALAu5dtZmhUp6UFUHXtHH1QB4Btm7QZEaIGBZSSvqL2cY4Ik2F0MFWsyc3EmNj6lee/dKE6000u6dQKJYH6mlwEgZLeSxNJzpZZ+7Z0nM2lCM0rZjd5oN51llRzvr5KTvozid+opXAjGBdPTPnfcWjJg/e0Umu4PH1H5zC9SYeCVMsPUqey1Axz3Apz5sjfXzmxHN8/dwbZNwShtB4YNVWfnPnQ9zeto7T6as8dfkkuqajC51hp4Bf09KvIgnSyzUnRwYv86UzrzDsFOrsaY8MXq5+/kzWUcyO2u/W1k3SbjFs1Kjr2LrJldwIGa9U15QRwlm0wVKeoucsnN4/EpuVk53iemLie6EEdX1QKJYp6qo+Cd25IVZErs1haybI4y8gOrcDs6kfkfT151iViBLXdC75hUYf3oxxOjYTnYPMqxZd17j71lVomuAbT57B99Wo11JFSknBcxgo5hh2CvQW0vzDWwf53MkfcTk/AsCuljX85s4Hecfa7dXi6CODl4noFkXfw5V+NREZS8oKnem+3318WnvamayjmB1jv1tLN9CEhm2YeIHHkDO+7wmED4RSSoacwsLp/a2FdTNULD2mumOo64NCsTxRCcokXMwO0dbgokvZdyHsKrtido0fMzmXQEIsYrJGi/Kml2vo8V0LpY6tRC8eDn3eG4AQgn07O/D8gMdfOK9qUpYYgQzIuSUGijnSTpGcW+IHl07wN0ef5ujQFQDWxpr42Pa38U827an2DhICkmaEvkIGJ/BqRtxFXYouEKRqarL6i9lp7Wlnso5idkz03ZqajiU0fnzD7nHj1XXpphBIKRdM77+QvaAUyxt1fVAolg+qBmUSLmQHWdvgjq/y6HOIdTeBmF1e2DOQoyVlIwR06javuWkeZnZSsbkSRJJ4iVbsKycode5qyD41TXDXLat46uWLvHHyKrfdtLIh+1WEzKZeww8C8p5DwXeRUhJIyesDYZ1JttwMLWVGeHjtTexuXVvXM8jUdJJWpPoayoXCS46haXi+xNB1OqIpIKw/aS6PhrdHEnXrw3iL0Jmso5gdE323utBImVEkoX1wMIGsRiBojyRotqKqFkixYFTisTZVrURnbyGNFwQYmkZEM1kVSy3GISoUimtEzaBMwsXccEMlXrLvfNjhuGPj7LaXkr6BPC2pcJR5pWYzFLhkgsVrXOes3HLNTRunwzA07r51NT967RJXByeWkSiunWut13ADn3SpwEAxS95zkFJyLjPAZ048x6Pn3yDrlTCFxoOrt/KbOx/ktrbOanIiCPuctNixapfnWmtQKSURzUQCMd2c0AJ07PoTWYTOZB3F7Bj73bq+R8QwWJ9o5UtnXiE6ph9N5WEwqhnq30Cx4OxrDy37Zc1/FTw/7Mnj+T4Zt8i2JjXwpVAsB1SCMgEFzyHrFmkpy1TmipQSefhZxPqbZz17MjhSxDZ1bCt84NOEYI0e4ZS3eNPVpZWbiVw+gXAb6yiWjFvcsm0F3332LVWP0iBmWq/h+B4jpdBhq+C7SGColOcfzhzk82++wJVyncnu1jX85q6H2L9mO1bNw6ohdJrtGAnLrpPe1FqD5j2HVbEUP7Z+FyujqQktQMeuP5FF6EzWUcyOOitX32VFJMn71u3ixEgvutBpiyZpMu06oZ6tGaxLtqp/A8WC84s77uXO9g1o5XjUECQMmxYriqHrSMDQdZqsSLXRqEKhWNooidcEXMyGBfJao7TNPW9BKT+rxowVLl/N0tJU3zm+U49w3Muyx2qe4wHODmlFcVvWEOk+TKFrX0P3vWFNkkt9GV46fIW33ba2ofu+EekvZomNcaSzNJ2BYrY6+5D3HNyafgJF3+WHV07zQt9Z/LJdZ2e8mfd07mRdomXcZ1zOjfBi31ku5oZojyTY1rSSN0f66iRlv7X7HdX1jwxenvJhYSb2tPNuYXsDU/luc64DSOKmzf86/Qqu79FXyNQ5eJlC45/vuE/9WyiWDCXfpcVuIlljolCxvlYoFEsfNYMyARdyQ6yINkbHLmWAPPxDxIadzPbrdlyfkUyJ5lR9Y8dOPcJZL7+oXu/Oyi0Nc/OqRQjB7TtW8trxPgZHig3f/41GeySBE9Q2ThToQmNjso2BYp4Rp1BNTgIpOdh/gb8+8jTP9Z7BlwEpM8JPbbyNX9p+77jkRAhBXyHDNy+8wZVCmphh0ZNP850LR+gr/z5WUqYsgpcPmqBqty6RpCewF/ZkoP79FIvG544/z8v956t1UQESVwb0FTJ166kaNYVi+aASlAk4lxlgZaPqTy6dgiCAFZ2z3kXP1RxNSRtdq5/RiQidFs3k3CLaDZdWdGENnEcbcyNoBLGIyU1drTzxonL1miu1NQVRzSCi63iBx47mVfhyNHE5m+nnvx5/lm+cPxTWmWg6D63exm/ueohb2zrHOSZZmkGrHeMHl07iy1FLz2LgIoC8704oKVMWwcsHWzers8nZKeSc6t9PsVgc6L8AjDZ8rVylSoGnatQUimWKknhNwPnMIDd1dsx5P1IGyCPPIjbuYnZ9TwAkl69mWb9mYueRTj3CCTfDFmOROinrJk77RqLnXyV30wMN3/2W9c384MULnL4wzNYN42VFipmxq3UNH+YOnrx0krznIIAH12xna7lgdLCU4/vdxzk23FPd5tbWtTy89iaaJukzETNsEqaFEIKrxUydhMwLwlm9ku9xKTeMoWmkDLsqr5hMcqbkF0uPY0NXqu5vThAWHI8dLpCofz/FwjHWkXAiR7kKzVb0mpwLFQrF0kAlKGMoeC5DTp7WRvRAuXgSNB1aV896FwMjRTRdELUn/qdap0d4sjTAj0m5aP0ASh3biL318rwkKJomuHV7O0+/cpGuziYMXU36zZZKTcFwKU+p3L9mojqTdfEW3rPuZjrjEyeEmtBImTa2YVaXjbWl1RC4BAhCQwc/CBgs5VkVb5pwfVDyi6VIRYqnC52YYTFYyiGhmqSMvgr176dYEMbG5LAzuYJAQ9TVvSkUiuWDetobw/nsAB3RJPos3bYqSBkgjz5frj2ZfeLQ3ZOhvTnCZLlHswgfEnuDxjppXQtu61q0YgZjeH705x1tcVJxi1eP9c7L/m9EAik5cPU8//nIU9U6kyYzwoe6budj2982aXJilyVdtckJjLelrSQ7GgJq5Xnln5VF8PJgrBQvYYRGHZV/UWUvrFhoJpKH2uX79Vib4Yr9sEKhWH6oBGUMZ9P91cZxc+LCCdB1aJm9VCxXcMnmXZqTkUnXEUKwTo9ywl1EaYXQKK3aTuzMS/P2Ebdsa+eVIz3kC+68fcaNwun0Vf7f4z/kmxcOk/McTE1n/5qwzmR369oJZ+LCjvA2zZEYujb+sjHW8lcTgpRhY+g6AaBrGi12jGJ55kZZBC8PxnaUb4nESRp2VeevIZS9sGJBGRuTACtjTZhodTbDd7Zv4Bd33LsYh6hQKBqAkniN4XT6KhsSbXPah5QB8tjziE23MpfZk/NX0rS3RNG0qffRqUd4w03zIO2z/qy5Ulx9E80Hv0b6th8HvfFhlYxbbFid4vnXL/HOezY2fP83Am7g87kTP+K1gYvVZbe1dvLw2ptIWZMnwbUd4aei1vL3Lw89wbBToLkmFmo7xY9dX7E0mUiKFzNt1sSblXRGsShMJg/d1LRCxaRCcR2hZlBqkFLyVmaANWWd/Ky5cAIMc06zJ8WSx+BwgfbmyR8cK/x/7P15lJ1XdecPf84z3bnmKklVpVnWYEuyLck2HsBBGDOEYJNABzdvN50m+AWSDmv1opP+QScEXpI0JG9WaJy3SYBOE0JIQhIm28GTDNiyLUuyZWuepVJVqapU4607PtN5/3hu3bq35nmQzmctrVI997nPPVXa2ufsc/b+7pVaiH7fYcBfvNMFP1qJG68lcuWNefuMbRtqOHupj+6+xVMtW86c7u8sBidrYtX8v7fex6+uv23C4CRqWGUd4aeKSuG6PlD/joqlhrJJheLGQAUoJXRkk1iaTsKcPCgYj2LtyZqbmc3pyaX2AeqqI+hTKArXCmleJ525l/qdDrnGm4mdeXHenm9ZOls31PL8qy1KdngGbKlawa+uv43/sOlOPrblHppiVePeqwmNSitCwgrPSHxBpXBdH6h/R8VSQ9mkQnFjoFK8Sjgz0DXhom1KXD4BpjXr2pPuvizbNtRM+T1r9AhH3UHeEpr6e+Yau349sXMvYfS24tbMvO/LRGxcXcnF1n4uXBlg45qqefmM6xVT03lX881lKl5jYWkGCSuEMc1Tk5GoFK7rA/XvqFhqKJtUKK5/1AlKCSf6rtI8iwBF+l5werJuNspdkrMtfayoi03p9GSIRj1Ml5dn0B9/4TnvaDq5pu3ETz4/fx+hCW7dUs++V1twXH/ePudGJWJYVIYisw5OFAqFQqFQKGbKkg1QHnvsMbZs2cKZM2cW5PN86XOmv5M18VmcQJx/A8IxKDS/mwldPRnyeZe6yrGb442HIURwiuIkZ/zZc0Gu6RbC7SfR073z9hkr6mJUJUIceGN+ZI1vRIKUrjAVVrjYNVyhUCgUCoViMViSAcrx48c5cuQIjY0Ld4R7cbCHuBmecf2JdPLIky8h1u+Y8Rhs2+NsSz/NKxPMpA3LeiPCEWdgxp8/F0gzRK5pG/Fjz8zr59y6pZ43z1zjWl9mXj/nRmCot0l4RGd3hUKhUCgUisVgyQUotm3zxS9+kc9//vML2hn9SE8r6ytmLi8sT7wENSshPnaDu0nfLyXHzndTVx0mFjEnf8MYrNLCDEqXTm/xmjYCZFffRqTlDfTB7nn7jEjY4JZNdfz0hYt4vkr1mgkCiJshKkORMXubKBQKhUKhUCwGS65I/qtf/Srvf//7Wb169bj3JJNJksnyVKaOjo4Zf6aUksPXWnj36ptn9v5kN1w6htj94Iw//+SFHjQBDTWxGT0DAjWvTXqMg3Yf74usnPFzZou0ImTX3ErF6z+i720fm7fPWd9cwdVrKfa/1s7b9sxPUf5UmWubnG90oVFhhbHmoWeNYmmw3GxScWOg7FKhUEyFJbU6ef311zl69Cif+cxnJrzv29/+No899ticfe7FwR4kkoZwYtrvldJHHvw3xNpbwJpe3QiA5/mcvNBL3vFY31TBbA+NNhsxfpLr5IFwPWGxeIXO2dW3Un3gHwi1nyTfOD/69EIIdt+ygudeaaF5ZZwNzVXz8jlTYa5tcj6xNIMKy0CbSR6hYtmwnGxSceOg7FKhUEwFIZdQQ4m//uu/5m//9m+xrCAXvqOjg9raWv7kT/6E++67r3jfeDswH/nIR3juuedobp7ebvrfnH4ZQ2jc2bBu2mOWJ/Yj288jdt7P9JS7JL0Dec5e7iUaMWlqiE/aMX6q/CLfwwY9ylvDi9dZHsDsuUL89M/p+uXfRVrRefuc7r4sL7/RzofetYX66vn7nImYa5tUKGaLsknFUkTZpUKhmApL6gTl0Ucf5dFHHy1+v3fvXr7+9a+zefPmsvsqKiqoqKiYk88csLO80dPKRze/ZdrvlZ2XkOdeQ9z+TqYSnHieTypr05+06exNI33Jqro4FYm5LU7eYSZ4Ot/NHaHqRT1FcWpXY9eto/qlv6P3bb8J81TnUFcd4dYt9fzrM2f5d+/aQnXlzBttzpS5tEmFYi5QNqlYiii7VCgUU2FJBSiLwU8uH+Xm6lVEp6lgJPs6kK/8BHHz3RAa3rX3pSSVtklnHdI5h2zOJZf3yNsuvoRISCcWMWmsjxGLWLNO6RqLas2iWQvzbO7aotaiAKQ33U3FkcepPPQvDNzxQeblBwbWrKrA8+Aff3qKh/ZuYlV9fF4+R6FQKBQKhUIxvyzpAGXfvn3z+vyzA1283n2F/3DTXdN6n+y4iDzwOOKm3ciKegYGc/QN5OgdzJPO2IQtnXDIJGTpxGMWNZUalqlj6Np8rc9Hsduq5Me5Tm5y4mwxF3GxrukM7nw3FUcep+rl79J/16+DPjOVsslY31xByNL4wbNnuWvnKm7ftmLO0uYUCoVCoVAoFAvDkg5Q5pO2dD9/dfJF3tm8lYgxtQWzzGeRJ/bjt5yid9VtdPSG6G9pCwKRiEVDTYRYY8WSWBSHhc79Vi3/mm3nQ6KJTcbM1cFmizRCDNz2K8RP/Yz6f/szBvZ8EHvFpnk5TWlsiFMRtzh8vItj57q5+9ZGNq6pUjK6CoVCoVAoFMuE6yZA8TwPmFyuMOnmOTLYwYFkG3ckGonnJNdy10bdJ6XEcSVuOgV9XUR6W6lMtdKt13IlvAMzYxIJ+axpCKHrApDg22Qy9nz8eDMiBtxFlO+n29hAiNtklAYMxLSK+eeO/qY7iPW3UPvS3+EZYfpW3kKqZi25eD1yjk9Vtq216BlwePFwC0+/dJHGuhAN1SGqEgbxiIGhT+93sHLlSgxjev9dpmqTCsVMUDapWGrMxCZB2aVi/pipTSoWnyWl4jUbDh06xEc+8pExX9NDJvd97f9BlJxsZDq6cQdzrGy6qezeKq+fhJ8e8zm2MPFkELwsJ2xdpzNRfoJy/4UWdnWMDswWAiEkq/VBQmLsBovP55t4Mr9hzj4vlqimuq5pwnt6ulr452/+P+O+PhN1mYlsUqGYLcomFUuNH/3oR2zdunXa71N2qZgvlDLc8uW6CVByuRzHjh2jvr4eXZ9cuWpI1vC73/0uK1cubiH5XKN+trlnJrsw07XJmbDU/62X+vhg6Y9xvPEtVZuciKX8u17KY4OlPb6hsT399NOsXbt22u+fil0u5Z9/IpbruGH5jr103Lfddps6QVmmXDf/auFwmD179kz7fStXrrxuo2v1sy0uM7XJmbDUfx9LfXyw9Mc4F+NbSJuciKX8u17KY4OlPb6ZBr3Tscul/PNPxHIdNyzfsav0ruWNqhxWKBQKhUKhUCgUSwYVoCgUCoVCoVAoFIolgwpQFAqFQqFQKBQKxZLhhg1QKioq+O3f/m0qKioWeyhzjvrZbhyW+u9jqY8Plv4Yl/r4psNS/lmW8thgaY9vIca2lH/+iViu44blO/blOm5FOdeNipdCoVAoFAqFQqFY/tywJygKhUKhUCgUCoVi6aECFIVCoVAoFAqFQrFkUAGKQqFQKBQKhUKhWDKoAEWhUCgUCoVCoVAsGRY8QHnsscfYsmULZ86cGfXa1772Ne6++24eeughHnroIb7whS8s9PAUCoVCoVAoFArFImIs5IcdP36cI0eO0NjYOO49Dz/8ML/3e7+3gKNSKBQKhUKhUCgUS4UFO0GxbZsvfvGLfP7zn0cIMefPd12X1tZWXNed82crFDNB2aRiqaFsUrEUUXapUChGsmAnKF/96ld5//vfz+rVqye874knnuDFF1+kvr6e//Jf/gu33377qHuSySTJZLLsWkdHBx/5yEd47rnnaG5untOxKxSToWxSsdRQNqlYiii7VCgUU2FBApTXX3+do0eP8pnPfGbC+z784Q/ziU98AtM02b9/P5/61Kd48sknqa6uLrvv29/+No899th8DlmhmBbKJhVLDWWTiqWIskuFQjEVFqST/F//9V/zt3/7t1iWBQS7JbW1tfzJn/wJ991337jv+9Vf/VX++3//79x5551l19UOjGKpoWxSsdRQNqlYiii7VCgUU2FBTlAeffRRHn300eL3e/fu5etf/zqbN28uu6+zs5MVK1YAcPLkSdra2li/fv2o51VUVFBRUTG/g1YopoGyScVSQ9mkYimi7FKhUEyFBVXxGouPf/zj/M7v/A47duzgz//8zzl+/DiapmGaJl/5yleor69f7CEuKY71tvN060m6cynqwnEebN7G9prxVdEUCoViPlE+SbFcULaqUCwfFiVA2bdvX/Hv3/jGN4p///KXv7wYw1k2HOtt53vnD6ILnahh0W9n+d75gzzCHcrJKhSKBUf5JMVyQdmqQrG8UJ3klxFPt55EFzoh3UAIQUg30IXO060nF3toCoXiBkT5JMVyQdmqQrG8UAHKMqI7l8LS9LJrlqbTnUst0ogUivFxPZ8jp7o4c6mXBdDiUCwCyicplgvKVhWK5cWi16Aopk5dOE6/nSWkD/+z2b5HXTi+iKNSKEYjpeTHz58jl/fI5lySKZs921cu9rAUc4zySYrlgrJVhWJ5oU5QlhEPNm/Dkx55z0VKSd5z8aTHg83bFntoCkUZpy/2kkzZ3Ht7I/fuauTAm1dJZ53FHpZijlE+SbFcULaqUCwvVICyjNhe08gjG++gyoqQcW2qrAiPbFQFfoqlhZSSl9+4yvZNtWiaIBYxaV4Z541TXYs9NMUco3ySYrmgbFWhWF6oFK9lxvaaRuVQFUsWef4I6cM/o8HZTEPt6uL19U2VvHq0g7tva0QIsYgjVMw1yicplgvKVhWK5YM6QVEoFHOCvHoB/6n/wzU7xDu6n8BIdRdfq6oI4UtJd192EUeoUCgUCoViOaACFIVCMSf4P/8HuOWtHHGbyTTvIHH0qeJrQghW1ce50Nq/eANUKBQKhUKxLFABikKhmDWy8zIMdHMtsZ5I2MBdu5Nw6zGEPXxi0lAT4VJ7chFHqVAoFAqFYjmgApRljq/6SyiWAP7xFxHrttPenaGmMoI0wzjVTYTbjhXvqa+J0NmdwfP8RRypQqFQKBSKpY4qkl+iHOtt5+nWk3TnUtSF4zzYvG3M4r6c6xA1rUUYoUIRIKUPZw7B2z5Ex5F+Nq+rAcCuXUuo7TjZ9XcAYBo6iZhJV2+GVfWq98ByZ6o+SqFYCJQ9KhTXF+oEZQlyrLed750/SL+dJWpY9NtZvnf+IMd628vu86VPzle9JRSLTMclMENkzQrytkc8agLg1K4m3HEWSk75aqoitHepzs3Lnan6KIViIVD2qFBcf6gAZQnydOtJdKET0g2EEIR0A13oPN16suy+rOuAyvBSLDL+xTdh5Xq6ejNUVYSLMsJ+OIHUTYyBjuK9NRUhrl5LL9ZQFXPEVH2UQrEQzJc9qhRqhWLxUAHKEqQ7l8LS9LJrlqbTnRveeZZSknUdFZ8oFp9LxxAr1tLVk6YyXp5u6FStwuq+VPy+ujJMR48KUJY7U/FRCsVCMR/2mPccpApQFIpFQwUoS5C6cBzb98qu2b5HXXg4bz/vOXhSFRsrFhdp56C7DeqauNaXpSoRKnvdTTRgXrtU/L4iZpHJuuRtd4FHqphLpuKjFIqFYj7sMecpH6VQLCYqQFmCPNi8DU965D0XKSV5z8WTHg82byvek3FV7YliCdB+DmpWkncFtu0RjZhlL7uVDVi9LcXvhRBUJUJcUw0blzVT8VEKxUIx1/bo+T62ClAUikVFqXgtEhMpjmyvaeQR7hj39bzr4IzYLVIoFgO/9TTUNtHdn6UybhXrT4ZwY7VBR3nPBT1wN5UJi2u9GZpXJBZjyIo5oNRHXc0M4PgeutCKOf9KPUkxn4w1fz6ycfw5c7pkXZXepVAsNipAWQSGFEd0oZcpjjzCHWVBynjONeup0xPFEqH1DGLjbXT3ZUnEQ6Nf1w28SBXmwFWcmtUAVMRDXOvNLPBAFXPNkH/63vmDRAwLS9PH9GUKxVwy7vy58Q7+6853zPr5Ukpyao5VKBYdleK1CMxGccT1PXX0rFgSSM+Fay1Q21g8QRkLN16L0T+s5FUZt1SK13WCUvNSLDTzbXOqvlOhWBqoAGURmI3iSKlyly8lSTs3DyNUKKbAtVaIVSN1i4FBm3hs7ADFi1Vj9g/3I6iMh+gdyKkUiusApealWGjm2+ayrtoAVCiWAgseoDz22GNs2bKFM2fOjHrN8zy+8IUv8MADD/DOd76T73//+ws9vAVhpoojnvTL0rt+cOkI//ONpzja2zYv41QoJkJePQ81KxlI5YmEdAx9bHfixWowSgIUy9LRdY1URqVRLHeUmpdioZlPm3N8D8dXAYpCsRRY0BqU48ePc+TIERobx85N/slPfkJLSwtPP/00/f39PPzww9x99900Nzcv5DDnnQebt/G98wfJe8HOj+17U1IcyTrDhXs/u3qWNwqByeOXjyIQKudbsaDI9vOImpX09udIjJPeBeDGqoklu8quVcYtevqzJMY5dVEsPcYqTJ6pL1MoZsp4Nre5soE/f/O5WRXJ51xX9RZTKJYIC3aCYts2X/ziF/n85z8/SulniCeffJIPfehDaJpGTU0NDzzwAD/96U8XaogLxvaaRh7ZeAdVVoSMa1NlRXhk48RFpX7J6cnJ/g5+1h6cQEV0E8+XfO/8QY71to/7foVizum4ADWr6BnIkoiOH2j4kQq0XArh5ovXEjGL3gGVnrhcGCpM7rezZYXJwLR9mUIxG8aaP+9u2MDLXRdG2ed05sRAnlid6ioUS4UFO0H56le/yvvf/35Wr1497j1Xr14tO11ZtWoVHR0do+5LJpMkk8mya2Pdt5SZSKVrLLKug18o3Hvqygn8wj5PfTiBpevYjsfTrSfVwmCRuB5scjrIXAbSA5CopXfgMjetrR7/ZqHhxaoxkl1FJa9EzKK7XxXKzydzaZOlhckAId0g7wXX/+vOdyi/o5gyc2GXI+fPP3/zuXHtc6q2GZzEqOJ4hWKpsCAByuuvv87Ro0f5zGc+MyfP+/a3v81jjz02J89aDvhSki00Zkw5eXrtQKI1aliEdAOJVIWpi8yNZpN0XoLqlXgS0lmHWGRiV+JFq9CT10oCFJNzLf3zP84bmLm0ye5ciqhRfkqmfI5iJsyHr5wL+8wrdUyFYkmxIAHKwYMHuXDhAu94R6BR3tHRwcc+9jH+5E/+hPvuu69436pVq2hvb2fnzp3A6BOVIT760Y/ygQ98oOxaR0cHH/nIR+bxp1g8cq5d3Nl5pu0UAAJImMN9J1Rh6uJyo9mk7LgI1Q30D+aJRUw0beJsUS9SgTE4XIeSiFn0JfMTvEMxW+bSJuvCcfrtbHGHGpTPUcyM+fCVs7VPX/U+USiWHAsSoDz66KM8+uijxe/37t3L17/+dTZv3lx237vf/W6+//3v8+CDD9Lf38+zzz7Ld7/73VHPq6iooKKiYt7HvRSQUpIpnJ60pvt4vecKENSeuL4PUqrC1CXAjWSTALLjAqKumf5knnjUnPR+L1qFMTAcoERCBo7jk7ddQpbqFzsfzKVNqmJ4xVwxH75ytvZpe66SPVcolhiLvjL4+Mc/zu/8zu+wY8cOHnroId544w0efPBBAH7rt35rwpqV643HLx/l2bZT5D2XkG7wQNNW9jZuwZM+vpQ80XIcgJWRCvY2buHlzgtkfYdqK8pDjTtVHrhi4ei8DDftpu9SlvgEBfJDeJFKQh2ni98LIYqnKCvrFt0NKSZhe00jj3AHT7eepC3djyd9DG24OV6p7xlL7Uv5JsV8UmqfE9ndWHPs+9buUOldCsUSZFFWBvv27Sv+/Rvf+Ebx77qu84UvfGExhrToPH75KE+0HEMAmhDYnsvz7afxpM9bGtZzpKeVtkw/AO9dfQvrErVsrVqBoenUhmOLOnbFjYXMDIKdhXg1vcnLbFxdOel7vGglRqqn7FoiZtKXzLGybmz7lVKSdm2ihokmVE/ZxWZosfe98wfRhY6l6UW1pEcIlLuG1L50oZepKQ29rlDMF5MJz4w1xz7RcgxT07m99vpqZaBQXA+oWX+J8GzbKQSgaxqaEBiaRtSweL79DDnP4Zm2YKdyR3Uj6xK1iztYxY1NoUBeSkhlbGJTSPGSZgR8D1EQeACIRcxxpYYvDnbz/3nt3/jsqz/iM6/8K692XZyr0StmQamalxCCkG6gi+GTlMleVygWi5FzrK5pCOBA10XV+0ShWIKo3IolQt5z0Ur6w4R1E8fzyHkOP2s/S9q1MTVd5XwrFh3ZeQmqGkimbCIhA32SAnkAhAjqUFI9ODVRAOLR4ARlJKf6O/irky/y9lWb2VzZwLVciu9feB1LM7it7sZJ+VyKTKaWpNS+FEuVkXMsQNgwybj2Io1IoVBMhDpBWSKEdKOsSC+im6TdPIbQeaWwe/y2lZuotCKLNUSFAggUvET1SvpTOWKRyU9PhvAjFeiD3cXv41GL/hFKXteyg/z1yRf55dXb2VK1AiEEDZEEv7xmO985+yppRyl/LSZ14Ti275VdK1VLmux1hWKxGDnHQhA8+6o4XqFYkqgAZYnwQNNWJOD5PpZmkPddbOkTN0P4SGpCUe5ZsWHU+wyVm69YaDovQfUK+gfy0wpQvHCirA4lETPpH8wXFw2e9PnGqf3cWb+W1fHyxo+ropVsrKjjiSvH5uRHUMyMB5u34UmPfEH1KO+5ZWpJk72uUCwWpXOsLyVIMDSdXXVrFntoCoViDFSK1wLyrZP7OdTdgo9EQ7Cnbg0f23YvAO9buwMI8mTDukHOc9le3cixvnYA3t18C6amc2agi/0d5+nLZ1idqGHvqs1Uhq6PU5WLrf0cOt7JQCpPZTzEnltWAIy6tr65anEHegMjU/3g2hCrpG/wyrgF7mPhh8tPUCxTByS5vEskbLKvLVD5uq127DSuOxvW8XdnX+WXV28nVtIDSLFwjKWWtLmygadbT/I3p1/Gkz6e9HF9Hx9JRDfZUd3I060n+Ydzh6gJx5Sq1zwwlu9c31w17vXrkbHU4y4N9pSpdq0MJ+jIDeJJn7gRYn28lrc3bp784TcgU7GdG8m+FAuPClAWiG+d3M+r3ZeL3/vI4PuTlAUp71u7g/58hpST57HjPwdgU0U9WyobODPQxRMtR9GERnUoSta1+e75V68LhZyLrf3sO9CCrgvClk46a/PUixdBCMIhvXht34EW9oJygotF12WoXgXAwGCeTWuqJ3nDMF6kgnBfa/F7IUSQ5jWYx9FcnrxynH+3YRdiRJ74EAkzzPpELS93XuABtSO/aJSqJQ2pdjmeT9ZzkNLHJzia14WGkHCou4VV0QpWRSvpzA0qVa85Zizfue9ACzd3pzlxvmfU9evRf46lHvetU/vJeA46Ak0Icp5Du+cQM0LUhKJEDIsLg92cGehic2XDYv8IS4rxbKrUdqZyj0IxG1R+0AJxqLsFCDrAD/0pvT6E7bnYnsv+zgv02Rl0IXjv6lsQQrC/4zyaCNS94mYIx/evG4WcQ8c70XWBaegIEXy1XZ+845Vd03XBoeOdiz3cGxb/atBBPpcP6gwsc+ouxItUoKd7y67Fo0Ga148vH2Vb1UpqQhOfyGyvaeQXHedUU7UlwpBqV853EFBUQ5IEPi7ruwiCTt0IlKrXPDCW79R1wWsnu8a8fj36z7HU4zKFzvBDql1DZAqCM7oQSGB/x/lFGvXSZTybKrWdqdyjUMwGFaAsEP44QoYjr2ddh347ywtXzwLwlob1xQLTvnyGkGZQYYbJeA4Sed0o5Ayk8hh6uTn6Eny//Pdj6BoDKVUovWh0nEdUr2AglScetcY97RgLP5xAzyahpIg6FjG50t/H4e7L3Fm/dtJnNEWryHsuren+mYxeMcd051JYmo7r+2MGKBKJKCwEh4qRrxeftVQYy3cauobteGNevx7955AdTsSwbUpCmkHOczA1nb58ZtS9Oc9hf+d5OjLJeRjt0mc8myq1nanco1DMBhWgLBAaYy/kSq87vkfec3iq9QROIUf2/lU3FV+vLhxL276HU1jkXS8KOZXxEK7nl13TBGha+e/N9Xwq46r+YDGQUgYd5KtX0T+YJzqNAnkANB3fiqJnB4qXYlGTg+mL7KxpJmJM3pFeCMHmyhW8eu3SNEevmA+GVLsMTSsGJUAxWBEITKGhC1EMUK4Xn7VUGMt3up6PZepjXr8e/edY6nEjGbJNDYGua+Q9F8f3qA5Fy+7zpM/3zh/ip60nebzl6DyNeGkznk2V2s5U7lEoZoMKUBaIPQWlEFnyp/Q6QNaxuTDYw7G+q0CgiBPWhxeBe5u24EqXpJO77hRy9tyyAs+TOK6HlMFXy9AImXrZNc+TxeJ5xQKT7AEhIBKnP5knFpl+CZsXqUBPDad5aSGfNtkzrU7ON1XW89q1FpXmtQQYUu0Ka+aYAUpEM7D0wE6uN5+1VBjLd3qeZNe2hjGvX4/+cyz1uGhh7iyqdhWoDsWwXYe85+JLn3tXbix71lOtJ7k4GKgN7pnCqe71yHg2VWo7U7lHoZgN01phXLhwgVOnTpHJlB+JfvCDH5zTQV2PfGzbvfQfyXBm8Frx2uZEPR/bdi/Hett5seM8lwe76bOzAIQ0g0hJcCIE3FbbTNSwRimVXA/Fpuubq9hLuWLX/XsCNSelErI0kB0XobYRIQQDqTz11ZXTfoYfTpTVoZx1rxLLRad0ejJEQziBI32uZgZojFVNewyKuWN7TSM1LVHO5Ib9mgaEdBNdaDTFqrilehXHetvJeQ5VVuS68VlLhbF855CfXFkXuyH85/aaRjZ01o1SyVwRrSiqeIV1k9XRKlJunkupXgSCe1ZsKCuQf73nSrHv2FtXbuS2aWycXE9MZFPTuUehmA1TDlC+/vWv85d/+Zds3bqVcDhcvC6EUAHKFDjW206vk2FFpAJL07F9j14nw+OXj3Lw2iXCukmfnS2erGhC8OSVY4WUlgbiRhhLN8oUdK431jdXjenclMNbGsirFxBVK/B9SSpjTz/FC/BD8WIvFE/6HM20UpGuwXV9DGNqB7pCCNYnanmzt00FKIvMt07uL9t0AfCBHdWNfGzbvUgp6clluK22mepQtHiaophbJvKdN4L/fPzyUQ51tyAIeoNJKTnU3cIvr9nOX9zzISCYg//54mvEzBA1BCnVR3qu0BSrYnNlA23pfn5yOUjpuqmingcaty7eD7QEmIrt3Cj2pVgcpjxbfPvb3+b73/8+W7fe2P9pZ0qpyggEajZ5L+h70hSt4mp2oBicCMCVPprQ2N9xnp01TUTNqe8wKxTzwtVzcNMeUlmbkGWg69PPEPUiiWKK17l0F3E9TKURIZW1qUqEJ3n3MOvitbzZ08a7V98y7TEo5o5SdcIhZOH6x7iXrOvgyYlrAxSK2fJs2ykEgWIXAELg+T7Ptp0q9hh7uvUkUd0KBB2EwNKNQDGz4zyrohV87/whXOlTG4rxwfW7ypS/FArFwjPlFUY4HGbDhtGdzBVTYyyVEUvTC53jddKuXbyuEeTNmpqOIz3ilio6Uywu0nPhWivUrGRg0J5R/QkMpXgFJyivD7SwIVpHOGSQzjrTes7qeDVX0n1k3em9TzG3TKZOmPfchRyO4gYl77mjFAWFEGX215NLETZMbH/4mqnp9ObS/OP5wySdHCHN4N9v3EPEmP7psEKhmFsmDFB83y/++fSnP82XvvQlurq6yq77vj/RIxQFxlIZsQsKItfyw5KbWqFLiq5p6EJjRbgCXSgtA8Uic60V4lUIM8TAYJ5oeGYTuBdOoKf7yHg2LdkeVkdqCFsGqcz0Ag1T02mMVnF6QGnuLyYTqRM6vofjqwBFMf+EdGOUaIaUspixANAYrSTt2GUhteN7+Eha0n0A/Nr626iPJBZiyAqFYhIm3Aa9+eabi7sSQ//5v//97xdflzLQuD95UjXdmowHm7fxvfMHyXsUa1AEkrsa1vHElePF+2RBCyduhIgYBvesVKdWisVHtp+D2qD2aWAwT2ViZqd6fjiBnhvk1GA7jeEqLM0gEtIZTNuTv3kEq+PVnOi7esMWsi4F9tSt4dXuy6POUe6oW0Pedcc5X1Eo5pYHmrbyRMsxvEL6lpTBTPpA03BK+v2rbuJ75w8hCTY4HN8j69rFho5vX7WZrVUrF+cHUCgUo5gwQHnuuecWahzLimO97VNW0iq9N6wbIAQZ16YuHOddzdu4mhnAlcEpVFgzAucpNNYnarlv5SZuqVm1gD/Z3HCxtV8pe1xnyNYziIItDqTyNDZM3PF9XDQd34xwYuAKq+OBek44pNPVm532o9bEq3mm9dTMxqGYlMn83LHedgacHAYaLoEPG1JP+o2t99CTSy/W0K9blG8dm/et3cHpvo5AsKGwmbo5UV+sPwFoilXz7tW3sL/jPH35DBHDpK+QAratamVZzzHF/KLsWDEVJgxQmpqain//1re+xcc+9rFR9/zN3/wNv/EbvzH3I1uiHOtt53vnD6ILnahh0W9n+d75gzzCHaOClJH32r6H57v8+03BvdeyKf7vmVcAuLlqJR/euAcIdneqQ9FpdeleKlxs7WffgRZ0XRC2dNJZm30HWtiLUuNarkgpCwXyt+P5kmzOnXGKF0A6Vkm7neSu0GYAIiGDdGb6Jyj14QSDTo6+fGZUszXF7JjMz5W+vipWGfg26fHIxuD1nOvgSZX+O5fMlW91XB9ziop5y4XHLx/l3GA3OqJ4gnJusJvHLx/lfWt3YHsutu+yubKBzZUNDNhZvn7yBXwk9eE4v7ruNlUUv0CoNYJiqkzZS/3lX/7lmNf/9//+33M2mOVAqRqXEIKQbqALnadbR6e5TXSv63s83XqCpJPDEBrvar4ZCOSFE1Z4WQYnEGii67rANHSECL7quuDQcVUrsGxJdoPvQayKwZRNJGwgtJnb54nKOlZiYBZEI8Ihg2zem3bjRU0IVserOaPqUOacyfzcZK+Xihf05TP8/bmDvNhxflF+luuFufCtvi/J5a6/uqBSFS9NBDWconAdIFdij47v8b3zh0i7NmHd5N9vvKOsVkUxv6g1gmKqTPq/8uWXXwaCgvlXXnmlbBHR2tpKLDbDVI9lSncuRXREUzlL0+nOpaZ8b38+Q0uqj/2dFwC4b+XG4g5wwgwXF27LkYFUnrBVPn5D1xhI5RdpRIrZIlvPQP3qYoPGmfQ/KeVYLEGzNywYoWkC09CCk5lpPrspWsXJvg7ualg/qzEpypnMz030et5zikpJGdfmO+depTuXIuc57G3asjA/wHXIXPjWTM7Buw6FbfKeO+oEZEjFy/E9coU6EyklP7l8lPbMAAL40PrbqQ3fWGuYxUatERRTZdIA5XOf+xwA+Xyez372s8XrQgjq6+v5H//jf0zpgz71qU/R2tqKpmlEo1F+//d/n23btpXd87WvfY2///u/p6EhyE3ftWsXn//856f8wywEdeE4/Xa2bMfF9j3qwvEp39sUq+KHl47gSZ9KK8J9KzcBEDVChJe5vGFlPEQ6a2Maww7I9Xwq40oqebkiW04iaoN0z4FUnmh45ruNUkrOhCx+JZ0pux4JGzNq/rg6Xs3jLcdmPB7F2Ezm58Z7fVW0snh64hZ2qrtzKXSh8dDaWxf2h7jOmK1vzeVdHMdnmR7OT0io0NOk9IeTUhIzLLKuUxRreLnrIkd6W4GggP6mki7yioVBrREUU2XSlca+ffsA+N3f/V2+8pWvzPiDvvzlL5NIBPJ9zz77LJ/97Gf5wQ9+MOq+hx9+mN/7vd+b8efMN2OpcXnS48HmbWPe+42TL5L3h9VsLE0n4+QZdIPdAsfz+O7ZV3mgaSu769cU3zudQvylxJ5bVrDvQAvgYegarufjeZI9t6xY7KEpZkrrabjnISBQ8KqpnHpDxZF0+TaaEFRnkyRLroctnVTWYbrLhdpQjLzn0JtLU6N2QueMifzc45ePcnGwp6yfBATNGjXgj1//KdVWFCngcqEp56+uu5VNlfUL/4NcR8zGtzquR/Y6TO0a4oGmrfyk5SjeCCn/TYl6vvTav5F0shhCKwrS7Khu5L4VG8d93pmBLg52XSLrOUQMa9nMv8sBtUZQTJUp16DMJjgBisEJQCqVWrY1FttrGnlk4x1UWREyrk2VFSkWho7k0mBPWXACEDMsUm7pUabEk5Jn205yvO8qMFyg2m9nywpUj/W2z+8PNwesb65i711riEUscrZHLGKx9641qvhtmSL7r4FrQ6IWgGR65k0aAS56aRqFhZ4bLLs+k14oEJzkNseqODPQNeMxKUZT6uc86dMQjvPIxju4NNjDEy3HxuxvEjVCpF2bQSdHe3agGJy8s2krO2qaRt2vmB4z9a2+L8lMsxHqcqMzkxx1LaQbXMr0MuhkEYAjg/ahcSPEQ+tuHXcNcmagiydajjLo5Ino5rKaf5cDao2gmCoTrjTuv//+KQUSP/vZz6b0YZ/73OfYv38/Ukq++c1vjnnPE088wYsvvkh9fT3/5b/8F26//fZR9ySTSZLJcofU0dExpTHMBdtrGqe0m/Js2ym0QtNF2/eI6CY5rzxgcaRPhRWmO5fi6daTbK9pLCtAhcDR5j2Kry911jdX3XDOZrFtcr6QLSegYS1CCFzPJ5dziYRmnoZ43s2w0ogicikKLX8ACIeNGfVCAYKGjf0dvGWFqkMpZbY2OeTnMo4d7CTrJv94/hAR3SDtDS94BYJKK4wuNPryGSQUm9ImzNCEO9WK6TFd3yqlJJ21WUplJ/PhKw91twBFdxKIzZhh+vMZNASls67tuVgT1Hnu7ziPJjSsEgGI5TT/LgduxDWCYvpMGKD86Z/+afHvR48e5Yc//CH/4T/8BxobG2lvb+fv/u7vePjhh6f8YX/0R38EwA9/+EO+8pWv8I1vfKPs9Q9/+MN84hOfwDRN9u/fz6c+9SmefPJJqqury+779re/zWOPPTblz10sSgv3NAQRw6Q3P5x7L4AKM0zWczCnWIB6IyKlxHV9THPpigcsF5ucLvLSUURDkHo4mHZmpeAlpaTFzXBreAVoGsLNIc0gXSwSMujonlnfjNXxap5QdSijmCublAT1JIO+R9LJEdMtYmYYBHi+jy40Mp7NgJ0t23wJaQaaFMv2tPx6IJd3cd2l1S5zPnylX2J5AqiyomTcPK70KbU+DXCkN/LtZfTlM6NqQW/k+VehWCwmDFDuvPPO4t+/+MUv8q1vfYsVK4bzBN/2trfxm7/5m/zn//yfp/WhDz/8MH/wB39AX19fWfBRXz+co3zvvfeyatUqzp49WzYOgI9+9KN84AMfKLvW0dHBRz7ykWmNY74pLdyLmyGSdq7s9bgZxvE9HN+bUgHqWIX41zue55POOZiGhsnSDVCWi01OB+l7cOUUbH0LEBTIx2ah4NXt2xhCI6YZ+FYULTeIVwhQwiF9xmkotaEYWddW/VBGMB82KSX02Rl8goWgLjQ8KZEjesYLgnTWSisy489SzA7b8cjlJ16MLwbzYZcaAh+JpekkrDA5zyVTEGuQJfeAxNImTlGtDkVJOjnC+rCvu1HnX4ViMZlyMnlXVxfRaPnkH41G6eycXLs6nU6TTCZZtSroRL1v3z4qKyupqqoqu6+zs7MYAJ08eZK2tjbWrx+dtlFRUUFFRcVUh75oPNC0lSdajiFkkCvvljQuszQdS9NxfY+855YV2k+nEP96xnY8MjkH6YO5xGXql4tNTourFyBaiYgEE3MylSc6i/qTFi9LgxacDEorip5N4SWCTQnL0PE8OaMmckIImuPVnB3o4s6GdTMe3/XGfNjkPSs28LOrZ4DCyco4zRhjhoVEcu9Kld61GHieTya3NOtO5sMu725Yz4mBDjQESTtXTDEcIghNglDlnhUbJnzWvSs38kTLUWzPJaTpo+ZnhUKxMEx5tbF3714++clP8slPfpKVK1dy9epV/uqv/oq9e/dO+t5sNsunP/1pstksmqZRWVnJ17/+dYQQfPzjH+d3fud32LFjB3/+53/O8ePH0TQN0zT5yle+UnaqslQYT2Hr8ctHebbtFHnPJaQbPNC0lU2JOjpzg6NOTxJmmJSTw/F9bN/jgaatXBrs4Zun9pP3XHQhqLAiuIWdm6mqiPgX30QeegoGuqGyDrHnXVw213DoeCcDqTyWqYOU2G4g67fnlhVLMhc0b7tkstev6sxywD9/BFauK34/MJinpmrmCl4tXpb6QoDiW2H0XEkeugikhtNZm6rE9D+jMVrJqf4OFaDMM29v3AzAS50XyI9RKD9EyrUxEOzvOE9bup/WVB+u9LF0Y1krIo3lX7X1O6f9nIut/UWfXBkP0bwiTmtnqvj9bPyylJJ0YWPnRsDxPR5adyuvH2ohM45NDpW71VsxXuq8wM+unsHSDO5ZsaFo00NsrmyANTs41HWZjBcI4SwXm52OfUrfQ8xDz7X5tG3FjcWUA5QvfOELfO1rX+Pzn/88XV1d1NfX8573vIff/u3fnvS9dXV1/NM//dOYr5XWoXz5y1+e6nAWjSGFLV3oZQpbGzrrONTdEkhtCoHtufyk5WjxpKQ0BaLGiuL5Hq7vUxOKoms6z7aeIuc7aAg0IfClpC+f4ZfXbOd9a3dMaWz+xTeR+74LugHhKKT7ufj8szwfextGKIQAevuzACRiJumszb4DLeyFJeMwfF+SzTvY9g0yuy5lzh9B3P6O4rfJtM3qlYkJ3jAxrV6Wt5hBSqc0I2gjcrrDoUDJayYByupYNT9tPTHjsSmmztCC7mdXzzBRdYOLpDXVy6VUD9VWhBWRSnrtDN87f5BHGFv5cCkzln+V+76Lv5dpBSkXW/vZd6AFXReELZ2+ZI7WzkFiEYNoePZ+OZ118JZY3cl84fk+fbkMf/bG0+MGJ9VWhJBu0p/L0GWnC3LYAsd3i6eBI4OUbVUr2VW3mqhhLZsaqmnbZy4D0Zn787GYb9tW3FhMOZciFArxmc98hmeffZY333yT5557js985jOEwzPfUV2OlCpsDSl86EIvBie6pqGJQLkLIGaESLnD6kSG0NA0jYzrIIRg0M0T0g1yftBMqvT9gkAJbKrIQ08FzskMBQ2rzBCHta3o+RSmoZPJuQgtKFrN5DxMQ0fXBYeOT56mtxC4nk8qY6vgZAkg+zohl4KaIC1zWMFrZileeenT7ztUa0Fet2dF0XIDZfeELYP0DOtQ6sJxUk6e/nxm8psVs+alzgtTus9BIoCc75X5y6dbT87vAOeBsfwruhFcnwaHjnei6wLT0INu57aHEJC3fYQQs/LL2byD49xo/lMy4I7fhTxcCDJy0i3cHWwi6iKYY4dsOaip0kmYYWrDMWJmaNkEJzA9+5SeC05ujKfMjunatpQ3RiCtmBkTrjYOHjzIHXfcAcDLL7887n1333333I5qCTOewpaPxBDl8V7cDJEe4TgTVpiUk0cKEBLcgv7jWP9NhRDkvWmkOQ10BzsnJSRFnJAXOCLPl2gi+CzPDz7R0DUGUuM794WitN5EsfjIs4eh8abiBD1bBa+rXo4azUQvPE9aY52g6DOWGg76oVRzRtWhLAgjmzROhEDg+eX1d8tSEWkM/4phBden85hUnrA1nFrj+UEQN+STYWZ+2XY8crmlVxS/FBEEwbKlBQvpSiscyAqzjFXnpmOf2TTzMdlOx7Zdz8d1PcKzkK1XXN9MGKB84Qtf4PHHHweCHiZjIYTgueeem/uRLVHGU9jSEMFuQMG5GULDEBqpkmK9iG6ChJznFIMZo3DSEhTxlSOlLPucSamsg3R/sHNSoEKmSOtRLEDXgtQxCn+HYGe8Mh4a42ELg5SSbN4lvwTVZm5k5OmDiG13Fb+frYJXu5ejRhsO7H0rij5ikRoJ6XT2ZGf8GU2xSk73d6oAZQHQhIY3xQWORBZPlGEZKyKN4V9x7eD6dB4TD5HO2phGsJDTNYHny6JPhun75aVcFL9UEIClGYR0g5hh4fo+GTePEBrhEZuOy5Ip2qd08sHpyTzEYVOxbc/zWVEbJZWxg5pYhWIcJlz9DgUnEChvKcZX2NpTt4ZD3S14fnCUGTEM+koK4wUQM0P05zNEdDOQHwYSRoi85xLWTHK+U3y/lEHVygNNW6c8NrHnXUEOKgQ7J67Nbv8Uz0fehuN6REua4UXDBo7r4XmSPbesmOCp84fjemRyLr6njnmXErL/Ggz2QP2a4rXZKni1ellqteEARxphhGuD5wZpCUA4ZJLKDoz3iElZHavm31Qdyrxzou/quMGJqelEdLNYR4fvk/VdwpqOlHJZKyKN5V/xXMSed03rOXtuWcG+Ay2Ah6FrhCyddNYnZGlBzyfPn5ZfllLe8KfPcd0k5Y0doHm+R5UVwYhUkfJsbM+hJ5/G84PuKb+8ZvvCDnaemIp9SimD05PSLrlzyGS27fk+IUtnY3PlDW2viqkx6Yrj4x//OHfccQd33HEHO3bswDCWuN7rPLO9ppFHuGNMFa8Vlyt4tu0UutBwpCxrHhUzg0DElz55T2JoGnEzhASqrAj/bsMuLg32jFIBm2qBPASFcP5eylQ81u95AK1ExStuQSbvkhz0sYTHrrXWuMVqLx9p47WTXdiOh2Xq7NrWwN23Nc3yNxiQy7tkc0qlaykiT70CzVsQJbveA4N5aipnXm921cux0agZviDAtyLo+RRetAoIUryyeQ8p5YzSLOrCcTJOXvVDmUdaUn3888XXgeBEOFuyKAzrJhVWmJzrkHFtNKGRMCx2Va0l5QX1QctJEWkkY/lXmrcgDz2F99x3p6zqtb65ir1Q9MnVFWF23FRHa2eKzp40juuDhCdfuFj0uSOVkUqVkLJLsBnjQpJ1bSzDhBEBSlQYfHDTbo73XqUzmyRuhVllVnK0rx3X94tz7LpELX/+5nOj5vPlhrZ+J97Nl+C1Z8DOgRWGXe8st8d8BryZpdFOZINDTGTbyVSehroYG5oq6OjJ8NyrV4iGDPKOx+1b525tobh+mDTa2L17NwcOHOCv/uqv8DyPW2+9lTvuuIM9e/Zw++23EwotXnrQYrG9pnFMB/a+tTt439od9GRTfOXNZwAwhUZ1KEqlGebiYC8CQXVBucuTHo9sHFaz2V7TOK2AZCy09TthxAS5nsBxXDj8OvuOpkjgYwgfV2ocv5RnxeHX2bD79rL3vHykjVfevIoQoIngtOOVN68CzMqR+H6w23fjFXIuD6SUyBMvI24vlw8PFLxmlpZjS58B6VIpylPEfCuGnk0WAxRNE1imRibnziidbKgfyumBTt7SMLp/kmJ29ORS/P25V3GlT8IMoSGIGhZmQao0ZlrcUtXIS13niRhW8YT52EA7/37jndxcvXL55vcXKPWvs1H1Wt9cNWpx9/KRNlo7BxEiyBQe8rl9yRxXr6WLykilSkhNKxI3dHqsL33+6eLr9BbEMSrNMBHDwvE9QppOpRnm0ZvvG/f946lyLleVOU7sh1hFEDy7NpzYj79yHdr6nUjXgVx6Rs8eqc41kRrXWLYN4Lg+6azNayc6OXLqWmDn4blbWyiuPyZV8frEJz7Bt771LQ4ePMh3vvMd3v72t3Pq1Cn+63/9r+zZs4dHHnlkIca5bLA9l2faTtFvB7n0MSNEVShKVy4FgjLlroVWszl0ohsdH1NIBAJTSHR8Dp0YXUT32smuQnCiIYRW+BpcnymO6zOYsVVwspTpuhxMbLXDE4XryYKC18xqULr8PFUlBfJD+GMUykdCBunMzHb4AJpjVZzouzrj9yvGJu3k+c65V8l4DlHDotKMYGh6UFgsgk2XvOfxTNvYKodPtZ5Y9sHJSOZK1WuI8Xzu6Ut9ZcpIQ0pIR89eIzvNupO+ZI4jp7pIzeL/2FLiR5ff5FzyGgBxI0S0oLwVN0PErQjPtJ2e8P3jqXJelypz2dSMC+NHqnNNV2nO83wyWRvpw/HzPQU7DwQJ5mJtobg+mXK+lqZp7Nixg3Xr1rF27VrWrFnDj370I86ePTuf41tW+NKnZbCPFzrOARDSDOJmCEszSLk2mhAgZVG5a6HVbJKeSUi4lOaeGsIn6Y1eeNqOx0jBJlG4PhPyeZds3mU6qoJSStq7Uhw7141p6jy8dxO6Pr0u44rp4R/fD2u2lS0mB9P2rBS8Orw81WK0jUkrjFbarJFAajiVdWiY0SfBmlgNP7z8xozTxBSjsT2X754/SG8+gyk0PrLxDr5/4TXCRvBvagwtpoG852KNaP62bFW7JmOOVL2GGM/n+jJQPiolbAU9g/wprjd9KTl+rpvXTnbh+xLT0Ll31/LerX6tu4VnCjL8Q3MtgC5EoRFynsFJpHTHU+VclvY6gT1KOwcliqLSdeDqeYhWIqzJU3dHqnPB1JXmfF+Syg7bquP4gV0jyeXdwFcz87WF4vpl0gClt7eXgwcPFv/09/dz2223sXv3bv76r/+abduWX7HjfDFo53niytFiCkSNFUMXGnnPxdC0otTmkHLXQqvZVOgOaU/HFMNRgis1KvTRu3CWqeO4XlkZnSxcnw4zabwopeRKxyBvnLlGd19wEqXrAsf1VYAyj0jPhVMHEG8vPxWdrYLXVS9X7H9Sim9F0bKDZdciIZ3UDKWGAapDUTzpcy2XoiEyt03IbkR86fN3516lNd2PAD64YRer49VUh6IknRxWQRHJ9lxs3yOkG8WvQyxb1a7JmCNVryHG87lCBKpeQ8pImibQdQH+1ALwwbTNC6+10tkTpEFVxCxu2VQ7ozEuJQ5dawFgY6IOz/eLmQkJM0Lec8l6zqR2N54q57K01/Hssa6pLLVLSh/53N9B+zkY7Efc+/Dkjx6hzgVTU5rzfUkqY5cJ4RiGCGqmJGTzHoYuZrS2UFz/TBqg3HPPPWzcuJH/+B//I//xP/5H1qxZM9lbbkgyjs2Jvquc6O8A4MGmbcSMEC91nifp5KgwQsU82SHlroVWs9lzcx37jg6AHK5B8dDYc3P1qHt3bWvglTev4uMXJZClDK5PFcf1yOZcvCmqdEkpuXw1yRunr9E7MLzztbIuxt23rSI8wyaBiily4U2oqEXEy+0hmcoTDc/8d9/h57nZGD3hSyuK3t9edi0cMkjOIkARQrAmXsOp/g4VoMwB37/wOsf6gn+j96y+hW1VKwG4d+VGnmg5ipQSTQj67Cye9HigaSsvd10YpXK4HFW7JmOuVL2GGM/nbllXzdVracDD1DUMXZDKOOyeROVLSsmZy328erQD1ws2iLaur+GO7Supqlj+DZYfWreT9YlatlQ2cDnVxxMtR9GFju97JJ3clOxuPFXO5WivY9qj78HO+8sFBN74WRCcAGLV1Gr1RqpzTUVpzvN90hmnbP4fGMyjaxouwWmJZQbPmu7aQnFjMOmq49Of/jSHDh3iq1/9Ko8//ji7d+8uFsjHYrGFGOOicqy3fZRiF1C8BoCU5DyHTMEJrIlVs7OmiZBuMujk+GnricIpik7csIrKXXOlFuJffLNMWWY8JZmgEP51Dp3oJumZmMJFR7Lv6AAvHn8eGUngaFZRoeMtO1cVVbwMXSMc0jl+voezLf0gJXY2R4Xbz27tIusiacRte9HW7+RyWz9vnunmWn+WsGWw/aZaVq+oGH/8UnKpLckbZ7roTw4fGTc1xLl1Sz0ramOEw2p3Zb7xj72AWHPzqOuzUfCSUtLl5bnPGh0Ee2P1QgkbtHfNrJBziNWxao73XuVtq26a1XNudGzP5WftZwC4Z8UGakIx/ub0y7SlB3CkiwQqTEnSziKBHdWNnBnoIu95uL6NLjSaYlXLVhVpLEb6WlZtgotvBupIQgMrjDz0FD5BoXxR+WgwT2UiRPOKOK2dqTGVkO6+rYm+ZI7Tl/rwCy21mhpipLMuubyH7XrEIiZZW7ChuXJCn5rJOex/vZ3WzuCEMho2uG9XE00NCa6XzMcVkQr2NsbpyaXYXNnAE74k69m0ZfrwpaTGjExqdxOpci41xprnYYSq3M33Quvp4e/vfA9aZUOx9kS2n0O+HrSMOB++iV+8MEDF/mfYc3PdKKGckapdN2+sHdd2S3nyF+e50hH49XTWYUNzBffvWcPl9iQvvNaK4wYBuNCCgnvbFUrFSzEmkwYon/zkJwHwfZ8TJ05w6NAh/uEf/oH//t//Ow0NDezZs4fPfvaz8z7QxWAshY//e+ZlBKKoFOJKn5BmkC7ZoWiIJBBC0Jbu44XOc1RYkbLdmVLlrtkyXSWZDbtvZ8NuCopeA+j4IKDHjyLSHvGwTTorAoWOu9bwW4/cXqbg4XmS3v4sSIiTJo3B8/5W3j74Jut+/o9cSGrsvyywHRdd18jmbF554yrcyqgJ1fclF9sGeOP0tbJc1tUrEty6tZ76aiUVu1DITBLazsCtbx/12mwUvJLSRUMQFqMDTGmGEXY2mDwLjUsjIYNU1p5VDcmaeA2/uHoWX/poQqUEzhRLN/jQhl2kXZtKM8wTLUfJuQ62DOTBh7pxDxZSvQ51t5Aww1RZkbKd6KW42JsJo3xtXye0ngnkXIfqbpw89HUi932XC7d5PH9JR9MEIUvQl8zS2jlILGISDRujlJAutvZz9Vqa6ooQhq6RyTm0daUJWUHqVzikB+lerse5ln7qqiNjBimX2gZ46Y128nawS72+qZK7b11FyLp+T6AfO/o8rgDHc4rNiHudLF84+Difv+N9E753PFXOpcSY8/xT/wcQwfeFa5zYj9j7keLcL9NJsDOFvw8gf/5PgOSaXsvL0T2EhEva04PMCobVPMdS7Tpxvoe9d60Zty0BDAcnQkAqE6yJLrQm6R04Q//gcA+2t9+5hoaaKKGQTjSsOskrxmbKs7emaWzfvp1f+7Vf49d+7dd4//vfT2dnJ9/5znfmc3yLylgKH7lCbmtIN8i6TiFwyZS972hvOyHN4GdXz867QshMlWRKFb2yhNAECIKu7iMVOkoVPDI5F6EJBB5ZLExcdDzesLaSS6zg1ePXsB0Xo6D2YRg6ugbHzvYUP9v3JWcv9/Gvz53lF4dbi8HJmlUVvP+XNvLA3WtVcLLAyJMvQ+MmhFleMDoXCl41Y9SfAKBpSDNcdopiGIGiy2wKJuNmiJgZ4nKqd8bPUATsbdrC3sYtvNR5AU1oZP3h3kURwyDvBScpec9FADnfWfZqSOMxytfms8FXu/BV04ev60bgY3WBqQXBXN72g5dtb0wlpJFKSaX3m6ZO2DLIZB1sxx/lUyG47+eHrvD8wSvk7aB31f17mvmlO1Zf18EJQI8T1JGknfL00PYRIhzLlTHneTsP+dy4c7908oFtAtL3kD//R8ilsYXFL+L3omsieNsYap4zVe0aGZwMMRScrKiN8v5f2kRDjZrfFZMzrSL5Q4cOcfbsWVasWMGePXv49Kc/zR133LEQ41wUxlL48KUsqk5UWGEGnRylFRYaIJFETIv2zMD8K4TMUEmmVNHLQ0NDIgV4Mti1LlXoKFXw8HyJJoKf0ZMaQoN42CCnRcnmPAYcjVC0PO7VdY3BjI3n+Zxt6efomWukssMObH1TJTs318+qEaBidshj+xHb7x11fbYKXl2eTaU2vpvxQlG03CBeZHgnOBIySWWcWS2q1sRrON57lfWJmRUsK8rpy2eKql1DRHSLgcICCIL6H7dEVmrZqiGNx0hf67nByZ/vUVRGFFpw3bBIuhYhQeGEUMfzg3nD80sKhsfxsxTuG6pFiYZ10lkHKYM5aMinDtHWleLF11rJFJrfNjXEue/2JqKzELdYTsQMi4xrI7lOG1aONc/7HqN+3CHVLikDWeHCDfLw09B5GYCfR+8lr0fLxBhGqnnORLXL8/0xg5Mhbt5Yyx23rESb4VyiuPGYUpH82rVr2bNnD//pP/0n7rjjDpqaboxcwbEUPrRCF62oYdGTT5P3hncUtcJ0Um1FCenGwiiEzFBJplTRS8fHRwMp0QsKX6UKHaUKHrom8AuLEFOTRGIRMo5A5JLg54hrLjnPxyhV+3A9NKHxz8+eIZMdSg+B9c2V3LqlgarEjdfscykhr12BXArqRwtgzFbBq9PLUTXeCQogrQhaboSSVziQGq6tisz4c9fGa3i958qsG58qAoZUu4YwNR2JxC3pqyClxNCH/98vWzWk8Rjpa3UjKD4WQ2GECIIR3QDXpsJ0STsephEsyHRN4PkSvWSBNp6fLb0/FjHJ216x2FjXBJ7nk4hauK7PoeMdnLwYnBYauuCO7avYsq76hpLZtnSDwespGB7JWPO8po8OUFwbquoLHeODQEG2nIRjLwav73gbyav1uL5GqVceqeY5XdUuz/NJZZ1xgxOAu3asmspPqlAUmTTF64UXXuCpp57ij/7oj3j44YdvmOAEAoUPT3pBGoOU5D2XsG5QZUZwPK+4UB9CIjE0nftWbhz3/XOtECL2vCvYsXPygeSLk5+Sksyem+vw0HCkIEIeX4JEEAkZOK5XptCx55YVeJ7EdlyilkBKME2LmigMZj3SeY/t8jJ4Ljs2VeP5QVDi+z7pjM1g2mUwbZPJuggBN62p4gMP3MT9e1ar4GQJ4J94CVZvG3NBk0zliUZmfpLR5dtUjdEDpfjZZgQ9O6IXyiylhgGaYlW0pfvJutdHQ7rF5t6VG/GlT6RwGhY1LLLu8GIkpBtIIKyZ8+brFptRvjYUCb5aha++N3wdwe6bKvGlxHF9pJSELC142dKRUo7rZx3XK94fMg1MUyOb84LTewLlI8+H1Svj/Ohn54rBSX1NhIfevomt62tuqOBE0zQq9dCYZyeN4fGFBJYTY87zVghC4VFzP3veXZQVloO9yBf+OXjIinWIXQ+we30MT2o4MrBHR4qCmufwpuZIWxxpq6V4fhCc+J5kfdPYyokbmq+PfwfFwjLhyuPll18G4Ny5cxM+5O677567ES0hxlL4+PUNu7iS6uOnrSfIeuW7BTqCVdFKXu68yFOtJ0i7dtFpmkJjQ0X9nBeNaut34u9lSipepWzYfTudg4d57bKNLXUM4QcpNaZFLGKx55YV+CcP8E9P2SRFHFP3EWYYacWoiRnkfOjMGPge3OS30lTpILa9n9XNW3Cr+zl0rJOB1PDiUBOCTWur2HlTPYmYNcHIFAuJlD6cehVx7wfGfL1/ME9t1cwVvLr9PFUTpHj5oSjaiAAlEjJm3ena1HSaY9Wc7O9kV93qWT1LAZsrG2DNDvZ3nKcjnSSk6STtbOHUmOJJ8oCTZcDJEtFNHmjauuSLj6dKUUHJsSGXCXav65qgeUug4iV9QBRPT4hWsO7ic2yrfCuv94SwM3ksU2fLumrSWZfuvgy+BCQ8+cJFfN9H07TiQYwmAnn1xvoYF1qThCwXT0o0IBELEQ0bHDreiZSBb719WwPbb6oLTvhvAL51cn8gymCFCesG62O1dGaTpPzhOTmumZMWyC8XtPU78W6+BK89A3YuEGbY9c5AqOH0q8NCIzffg1a/Guws0nWQz38vuD8cQ/zSryM0nQ3bN9GZvsDrnQJb6ljCY9daq0zFa31zFXuhTMWreUWcQ8c7ee5AS1HFa/WqCtKF4CSddUhl3FFjr4qbZHIe//T0aRJRa1JVT4ViiAkDlM997nOTPkAIwXPPPTdnA1pqjFT4ON7bzkudF4joJnnPxUdiajr3rdjI8b6gOL4rkywrJgVwpE+lGZ6XCVtbvxMmCUhGcrG1nxM9JrFKi8oSXfMhlY7zzzzF81fMoMhfc3E9ga67rNb7OZNNYNsO9W4PD6R/To3Xx9Ha99O8YhMnTndx4lwP+UKRs64JNq+tZvtNdcSjKjBZcrSdAzOEGCclMJmyWbNyZv1EktLFEBqhMRS8hgh6oVwtuxYJGVzrzY7zjqmzJl7N0d42FaDMEZsrG9hc2YAQUBuOowuN/++RZzgzeG3UvY7n8XLXBdYlapd9kFKmoBSvKvY7oXkLnNgPsYogBSczCOkBqF4BusGltMmJTJ5oRKciHsWTcPVamps31pJM5fF8SSbrMFSSIkTQpDEaMTF1jVu31FNdEWHzuuGmiv3JHL843MrFtiCor6oIcf/uZmoqZ54Oudz41sn9vNod1FMMndy90n0JCDYJhRBIKcn4Lo9fPnpdpHn6F98stzXXhsNPg5MLAhPNDE5RWk/jH/wp2q33Iw8+CT3tIATi/l9HRIOg4GJnlpODEaIxqAxZuJ7PiR7Jytb+MoWu9c1Vxe9Hqnplcw4H3rxKNu+wqi5BR3ea5w+2kMsH837I0oiGDfK2T3/KIer6hENGUdVT3AprGysxVeNlxQRMGKDs27dvocaxLPClz76207jSJ+8HwQkEBXovdV6gOVaFjxwVnAxlKB/qbuFjjC5EXgxKVTqAwlePQ8c7Wd9cxeEWG13omFqQupCIWDhC51jSRPPz3Jk7wh3Z19HxyYgwr/XGePmp09hukPam64Kt62rYflOdkhFcwvinDyCaN4/5muv65PMukRk2yLw2SXoXgGfF0MeqQZnlCQrAukQtP7j0xqwkixWjCesWekG+eazgBMDFL6p4LfcApUxBCYa/vvZMsGAc+j6fhVAUXAd8j8P67Ri+y87+A+TcBi5W7QQ8XjvZRSxiDCsieoXSbglCF9iOR3WFxeETXTzwlrXBGKTkxPkeDp/oLBbZb99Ux65tDeg32CLvUHfQQV4AaSeP6w8r/ula4XchBJ7v82zbqesiQBnTBu0cIGGo7iscC2zv6C+QiSo49SoA4vZ3IBo3Fp916FwKTYBpaEWFrtK5fyxK1wuGLrBMncF0ntdPXqN3VZ6DxzuQhd49kZBOpDDn245TUGX0iYQFlmmgG4LLVwfZflO98suKCbm+tQfnECklSTtHW7ofXdNIF3Lb42aIsG6ScW1CuknKHV/lwl9CCiOTqXQktQQhbHQk4ViYvCvJ5TJUI3kwtY8VXjcZEeblyJ0cD29DCg1cH0PX2Lqhhu2b6ma8sFUsDFL6cPY1eNuHxnw9mbaJRmau4HXNy1MxQXoXgDQjCDsX5O8XeklYhl7Mfy4t0pwu1VagVNOeGaApVjXj5yjKCetT+3993ah4jaeUaOfKxUh8H+JxGOyFyjqSMsJbM/vZlL+AmzW4VLkdQ9ewHY/KuFWiiBggCVK7gjpAyWAmECVIZWxeeK2Nju6griAeNXnrrmZW1l3/jZLHonQezUxQYyaEKBOxWdaMZYOl6wmhBbVPAz3g2cj9PwyuN90UdJIvIZlxCZkCSnS8JlPoGlovmIaGYWiksg6eL+kbzNLZE7RZqKkIk7VdwqGxlegiIQPTCOy/ozutghPFpEx5BZlKpfja177GwYMH6evrC2TsCvzsZz+b9P2f+tSnaG1tRdM0otEov//7v8+2beUFlJ7n8aUvfYkXXngBIQSPPvooH/rQ2IunhSbl2OQ9l0orQlt2AABdCOJGCMf3qLaipJw8TPB/TpvoxQVmIpUO6TpUiiyOGcUyBOmcg+c4bLPPcnvuKHlh8Yvo3bwR3oFfTN+R7NzcwC2baglf55r71w3t58GKIBI1Y76cTOWJhWeeltfl56kUk9iCJpBWBD2XwotWBtcERCIGqYxDdcXMAxQhBOsTtbzZ06YClDnC0HSsKQYo142K13hKiVY4+Dp0PVFTJu16d/Ygm/IXADhVtRspNFw36E/ien6giCiHF3CagFjExHV9sjmHeMTk7OU+Dhy9ilM4md68tpo7t6/ENGf+/2K5oyGmtNknpSxT0FzWjGWDRcshOD3JZwvKXaJQB1WJeNuHECOa1VZEDdJ5D9OamkIXBOsF1/PQNUEqbeN6Psm0zZBO0MbVVdxzayPPvHKZbM4uqniauij08Am+z+RcHNeb8LMUiiGm/L/3D//wD+ns7ORTn/oU/+2//Tf+9E//lG9961u8610Tq0UN8eUvf5lEIshlf/bZZ/nsZz/LD37wg7J7fvKTn9DS0sLTTz9Nf38/Dz/8MHfffTfNzc3T+JFmz7He9mJhfEQ3qLAiXMumiJshElYYJx2opiTMMI7voQH3rdzIky3HyfmjZfaGXGnUMDnW2z5uykOxEHNEsbv38o+Hi+N0Awq5pEP3XOr1OHSim6RnYmkSGUngaBaWtJHpQRwpqNAd9txcVyyE23PLCvYdaAE8DF2jL5nDcSW9A3n+f99/kzURg6RncS0DCT/HO9O/ICFT7I++haPhm/GGFp5SgpCsrdTo6s1w/mf9WHogxWy7/qRFcVc6kxw728Ngxp7W+xSzxz97GEqO/kcyMJgnMgsFr2u+zTZj8gWqF4qhZweGAxQKvVDSNtUVs+uNszZey9HeNt6z5pZZPedG5nzyGk+2HKM/n2FDRT2NsUrODHRxITl2etcQWdfm323YtUCjnBuKPrjzcqCKhAxOS3w/yF8p27EvNGU0TC5V3sJhfRO9kSgeOjsyx7g3G6TYnLA2s0/cjizsNOt6sMgLWUZRllUIiEUtcraHJgS5nMtAyinuTkNQbxKNGDx7oIXBjD2hjyz1q9ebL91Tt4ZXuy+PGaLYfnmD1x3Vjfz5m88VRW7mWqRmrhg599O8BVpPl39/+Klhxa5CuwOGNoqFgHQ/KRElLjP4aPy89l1sGNBYe+10IDM82AeJanavfyc/Oavhp0paJAi4f095rd7F1n4OHe8kmcpTEQ8xmHZIZcqbUgMkYhZXu1M888plVtZFOX4ug+s5hCydSMQib7vYjodeUus6lhqYQjGSKSev7t+/n//1v/4XDzzwALqu88ADD/AXf/EX/OhHP5rS+4eCEwhOY8Y63nvyySf50Ic+hKZp1NTU8MADD/DTn/50qkOcE471tvO98wfpt7NBjqtr05ruw/U9Buwsx/uCgt6wbiJ9SYUZ5qF1t+JLSc53JtzXMTWd750/yLHe9lGvFQsx0/3BUW66H7nvu3hPfgNe+UlhsiSYIJPdwdd0Pxef+Sn73uwn7ekgoMeP0pf2cDJZelIefTIKAtKezr6jA1w4/DpQUOm4aw2xiEVvfxCc6JogETUxdZ3z+WqSOcnO3DF+ZfCnnApv4dtVH+FIZGchOJEgfQzhsL5S0uOYZHM2Akn/oE1/Mo+AYlHclc7RHX2vdCZ55Y2rxfcNpGzSGYdoyEDX4MS5HnqTWaIRA2sWqT6K0Ugp4dzriMZN494zMGgTn0UPlG7fnvwEBfCtKFpupJKXXtaIbqasjlfTmu4f1WFaMTWO9bbzTNsJkk6OilCEzkySJ1qOcT55DaekB8pIhvqkLCeKPrjrStCBW/oF+VY72JkelU4UyHBd0pt4Xm6njyhZLcw6+1IxODlvruXZ2P3IkukuSF+U5O1CTygB8aiF4/rk8h5528V1R//uBlN5jpy6RjKVJ2Rq4/rWUr860X3LlRXRqQdaR3pb6bezRA2Lfjs77vy7mIya+/s6gzm/r6O4FuDw08EG5VBAIuWwclysAjJJuvVq4jIIIF6vuZcrooF9r1/j0oGDkE1COAK6zqEzPfgjzMuXcPDYsFjJUFF8Nu9QUxmiP5kbs8eJADQhC4XzNsfPXkPXNCriITQhGEzZQeG8EORsj1jEKgrxKBSTMeXtUd/3i0FGNBolmUxSX1/P5cuXp/xhn/vc59i/fz9SSr75zW+Oev3q1as0Ng7vbqxatYqOjo5R9yWTSZLJcmc71n0z4enWk4FylW4w4NqYmk7SzqFpGmHdKB4t/+aWe2iIBL+PSivM//Pqj9AQ6JqG43tlU7Ol6fhSkvEcqvTomIWj4xZinn41mME0vdh4CQhSCRLVHHa3ovsupqGRIoQmACnJeUF3eIQkS4hqkQHpc+hENxt2B48YUun4X393mFjExNAFmayD4/lUuEnuzh6g1VzNd6t+vSyVK2LpGJokGjZ4z65V/NvrfeiaxDB00oP5oG+ZgFzepTIRAtfj2NmeUTt4Zy71EY+ahCydVMbB1HU86ZPNuxiGhW27vHaii42rq2f/DzvPzKdNzgt9HYWmXg3j3jKQzrN2HF37ychKD0f6RCdQ8BpCWhH0zEDZtUjImJMAxdR0muNVnOi/yh31a2f9vOXEXNjk060n0dCwdIOIbtGW70NAWYPGkayJBymDec9dVkXyRR9sDynIDaXQTBxoHY7cji4kWSzWum28M/0zANqNlTyVeAeyxHeCQBCUDDiuJBzSiIZMcraHXQhYvHF+tV7hEMd2PCJhI0ijGcO3Hjvbg65RTLMZ777FYrZ2+WzbKfTCXDvE0MlJ6banLFwfSvMK6QZ5jyVnk6Pm/nw2+IfOZyFWWVIQT3CaN4RrQyQeBNCuTTWB/bQYTZypvA1TCEhnOGxsY52eDJ7le7TJOhAFPesSWjvTxb8fOt5JOKQTDZtk8y6D4zRglAzbWThkAgLXk2RzLr4vg67xUmI7Pr/1yO1jPkOhGI8pByhbt27l4MGD3H333ezZs4cvfOELxGIx1q1bN+UP+6M/+iMAfvjDH/KVr3yFb3zjG9MeMMC3v/1tHnvssRm9dzK6cymiBSdgagYpO4sQAtf3SBWcYEgzisGJLjRCuknOc4sa9EP/9UunteAZ/viFo+MVYko/kBCE4d2ToY7FQFKLE5J5wMIjCEqkACkFQgThlFc4KDOET9Ir3xF3HIdYJJgg0xkXpGSzcw4kPB1/ICh+B5A+orAnGrGCZmypXPD7SGU9QoWC+KGiOFH4O4Bl6uQdD90QmLqGpmnouiCbc7BMHdvx6SucuAgR7ObEIib6JIV7S4n5tMn5QJ5/A1ZtHLdQ0XF8bCeQhpwJ3Z5NlWZOqRDSC8UwBrvLrkXCBl29o9MJZsLaeC1v9rTecAHKXNhkdy7FqmglutAwNI2M6wT/pnLy05FlVyQ/5IPLgq+RnnwE4RhJESMkHWrda7w3+VN0fHr0an6ceE/Jxg7DzeYBQwgiEQNTF6QyDq7nj9rVHotSvwqg69qoQH4wE5ycQCDzrmkiaO7o+ZimVtbJfjGYrV3mS+ba6bIkbXLk3O+5QQRbVuA/hnEYVtCscSDwnTo+g1qMV6O7g4kUMHybpBaHWFWh0WNu2KQn+BXmbJdoOEhBtB1v/BsLj4mEDQxdo6c/h+sFYjmlr0/2DIViLKa8+vjSl75ULIz/H//jf/Bnf/ZnJJNJvvKVr0z7Qx9++GH+4A/+gL6+Pqqrh3fHV61aRXt7Ozt3Bj09Rp6oDPHRj36UD3ygvLFcR0cHH/nIR6Y9lpHUheP021lCuoGhCXwK6TCF5bkAVkaGd5WjRrAIC+kGtucGmuOMdidSSgxNG79wdLxCTKEVmjDpJTmnMrgOVPgp0iKCSeCgfDSQMhitFCAkOsGE60qN6pCH5/kFCVkbN5UsNlSM+mlqvH7OWpuKgYnp23hoSE0gpEQXwU/m+ZJ4OJh84xGdnONjGIHKh64JdF1g6BqV8RC241JhGVTEygvjwiGzWKivawLfDwKgoQl0ssK9pcR82uR8IC+8gVg3fl3GQCpPPGrMWGml27epmEJ6F4AMxdC7zpddi4QNUtmxd+2my4ZELd87fwhf+mhiylmty565sMm6cBzX9whpOo7vYWgarje1xcayK5If8sFDPheYMDjRDQhFqfAG0ITPuwefxcQlqcX5ceI92JqFKFNaCnxbyNKxTJ2c7ZLOepOFQGWU+kcAzwvq9YofoUFDdZS84xK2DHwp8X2J7XhEI+aS6EU1W7ssnWuny5K0yZFzv24E2RJlBf6jtjwhmoDU8Mmzh8bPovfilEi7u5pFhZYPnjeUJj5JcJK3XeJhk75kFtdnzNSuIUKmTiIW9FLJ5Fy8MY7/JMEmpUIxXaY8W69evZo1a9YAUFNTwx//8R/zF3/xF2zaNH4O+xDpdJqrV4fzG/ft20dlZSVVVVVl97373e/m+9//Pr7v09vby7PPPjtmEX5FRQXNzc1lf1auXDnVH2VCHmzehic98p5LVA8hkfjIYj51RDd566qbgOD0JFw4bXmgaWtwWuH7o9S6PN9HSklUN/Gkx4PN5eplAGLPuwo7HIUiOCcffL/lzuB736PMq0Ti4OTZ7Z/C0wwcKYiQx5cgEYR1WQiuBFFhg2kSiUfZsWUFyZRNejCNm+wDz6GpWifhJcnocVqtZqTQiPgZLC9H2M8SIRekvCIIGVpxt2/HmkDm8taNVYQtg2jIoK4qjCYEruujCUH/YI7BtMPOzfWjfuY9t6woyslGwzpSSqQfpI45rresiunm0ybnGmnnoOsSNKwZ956BVH5W/Wuu+XkqtKm9P6hBGSybfy1DLy6sZkuFFSFmWFwa7J31s5YTc2GTDzZvC7Y9hEbecwlrZuEEYOypI6QZSCnJe+64vm6pUvTB1lDTw5ITa4CRktmxSsgMcqf9Bg8MPk9E5siKMD+qeB8pLR6IlEhBSLiELZ2KWIhYxMT3Jf2DeaJho+xThlhRO3bTRT3Ye8Iy9cIptSRsGdy1YwXRiEEiblGVCHP7tnpyeZf+wRyZrEMqY5PNudy+dfx0zoVktnZZOtf6UuL5w4tiWfIHghOTvOcuaZscNfeHIuVfnXygGCdEsA6QEkIFBbmStO8+vZJuow7HiiOlxHF9vFCc3f4ZyCSLz2ryOxkZoQgBG1dXkM7aZLIu61dXks554wYnuiZIxCxClsZg2iZvewVZ+GCD1pc+UvqFr7Br29KwPcXyYlr5G//8z//ME088QVdXFw0NDbz3ve/lgx/84KS7rNlslk9/+tNks1k0TaOyspKvf/3rCCH4+Mc/zu/8zu+wY8cOHnroId544w0efPBBAH7rt36L1asXtgv09ppGHuEOnm49ieN5xA2LPifI/xTAnfXr2FwZ/GeLGGbxqHmoGdSzbafIey6WZhA3LGzfw5M+pqbTEKkYV0VEW78Tfy9jq3hBUIsytKun6UENiueybtdd7LWqCipeGrUiVQiqLKotH00XeJqFlR/kpv43yZ6p5cmLOVKOFvQ5yQ1yTVSDHuQmV3oDWH6emD/IRreVY+FbSGFQLbJIM4JrmCRiJjvXxlmzKoERiXJzU4R41QCHjneSSrtEwkagxuUEkpqakDx3oIXK453suWVFsUBufXMVewnyXQdSeWoqw8X3xSJW2b2KOaT1NNQ0Iozxd1MHUjaxWRTIX/NtVmlTO/2ShgVCoDlZ/KHFoYBo2GQwbVNbNfsu2esStbzZ28aGirrJb1YU2V7TiC8lB7oucHGwl5XRCt5WuYkzA12cG+iitNquMVxBIhRZkopJ4ykkllLmg9vPlyz+hgqTC0XJyEBJ0XXAybHaCeowXQyernkvdriOBJJ6LctKv4MOYwXX/AjpnIPrSQxDsLIuWqbQNYShgxAaG5oruNKZwnF8NE0QtjTqq2M01sfoSWZJpR2iEYOVtTFeP3WN5w+2UhkPFX3m/XLYr5Zevx4YOdeGdIMHmrZyuq+jrHHo5kQ971pzS1GRc6nZ5BCj5v7qFeA4kOoP/gDEa2DDrcE6QBNBelesMgg8CtR5fbzdPMvh6ntJZl0qYhZ7djaxzrHKbP9De9bwzUM+qUyQQmboGnXVIe6/Yw227ZPJOhw721OUttY1QW1VBCEknT1ZwpZOKGSwekWMm9bWlNnZ/XtW09Gd5rWTXcX5f9e2Bu6+rWmBf6uK6wEh5RSSiYGvfOUrPPfcc3z0ox+lqamJtrY2vvOd7/D2t7+d3/3d353vcU5Ka2sr73jHO3juuefmTJb4WE8b/+fMS6TdYKKqMMPoQvDLa3awtWolteHovKeMFBU+dCPYZRnsC15I1AQdZD0XsfcjQSBz6RjOgSdxjTCe4+EO9iPzhV0WodEWWcMr1k6kL7G1MC7Dx641bi+354/SSDciFB3+PN+HW9+O1rgBXdcImTq6FcKIRBDmxAvQISWQoXSvIYnBG0XFYz5sci7w9n0X4bmIrXeNe8/zB1pY1RCjpnJmwcFXUxe4z6qmRptaSkns9C9IbX07btXwTuqpC72sbaxkbePsC3vb0v280HGOz+/+5Vk/azkzE5vMODbhks0YGFY71IWOpemFjRiPRzbeseQWgGU+1LAKO8/DfnPc+3NZyKdLXikJTswwpPqRvouQQa2fU9OMG6rA23Yvsn51kBo8NL2G4wgrQv9gnhcOt9LdHxTiVyZCbFlXzYnzQWG7rmuFNBnB3beuYk1jZdC92ygvCofry7/O1lcuJ3ucDO/bfwA9bWO/WLMySAnr74K+a4AMNiwr68F3wfPgLb+CtuFWiFWOuXn88pE2XnnzKoYuCFsGmi5IZ1y231RLY32c51+9QjYfBC+3banntq0NxefouiAaMctqTBSK+WLKJyg/+MEP+MEPflB2FPv2t7+dD3zgA0siQJkPfnH1LJlCcBLRTWJmCNtzeanjPLfXrl6QfPYyhY/BvmH9czuPrGvERcM7eQi5Yiv5119B2iLYfRnoDo6DPQ80DeLVvMZWcr6FV5KqUOd2c3v2DVZbSVzXCeZgo7BzHoqgaYLQ1VOEbtqCbpgQiiGsqe2MHzreia6LYjPI4KvHoeOdy24Cva64dAz2TNy/aCCdZ1OkakaP96Sk33emXIMC4Bd6oZQGKOGQQTI9NyIJq6IV9OUz9OUzVIdGdmRWTISp66OKkkvVDmHpKiTB+AqJ8tBTMEaAMqGal9DADOHqFggNo3CqndYTOKkceAYcfxntbU3D77XCSNPi5PkeDh3vKBa537Kxll03r+CZly8XVbcMXRCPmEgkZy/3c/Om0amxQyj/OsxyssdJGS84gcLJnVuoPSkEvxU1wRyvWaB5cPkE7HjbuJktR051EYuYWIZGzvaC2hFf8uaZbt44fS1IIzQ03ranmdUrhzeHLEsjGp6a8IlCMRdMeQURi8WIxWKjrsXjS6zgbA65mOot1pMlrKBhnKnpZF2HiDnz9JdpkeqHaAJfM/AjlfhGGE8zcB0XT0aQrgvtbeiOj+y5GuStQiEwEUgzREekmTfZQJ9eVXxsg9vFnZnDGLi8GL+HVdrrkOkuBiiGZRERHrrvIDLdaLGqKQcmQwyk8sUOskMYy0iZ63pEpvogOzihvHAu7yL9mRc29kuHqNDHrVMYC9+KomfLpYajYYNkem76l2hCY30iaNr4tkINmWJqmNpoOyhVOxxiSSokwfgKiQPdE98/lppXrBJyaYTMoLtB6m9GhHE0K9AB1g1IF9JuNANCMdIOvPhSC1evBacx8YjJfbuaWFUfzJ2DGZtISCcWNtG0oFGt4/gMpLJMhPKvwywre5wpmh4E18UmohAoLxTWIkILgpXeq+MGEb4vsSwDx/GK4jhDSTR+IXCuqgjxjjvXUFEiUBMNG0WlToVioZiyxX30ox/lt3/7t3n00UdZuXIlV69e5Vvf+hb/6T/9J65cuVK8b6FrRuaL1nQfyULtSdwMoxcWW47vsTZeU/x+rpFS4vkSz/ODIuG6jfjpJL40kJ4RpB1IP3BWoXyQrpAoKKElqoPFp2EhdYP2UDNv6jdxTRtWSlvpdHBX9jAr3asciu7mbGgTEVHoZhyOYoYtQiGB4WXAKDRkDEWmHZwAVMZDRZWuIZaTMtf1iGw5BfVrEBPY78CgTTxqzVzBy7OpHFlQPAl+KI6W7iu7Fo0YtHbO3QJjXaKWIz2tKkCZA0rVDodYkgpJML5CYuU49UjjqXkN/Wz5TDE5NkuIvAgFqVx6QRo2UQ1mBBmKcLFtkFfeaMcu5PPftKaKO3esKgv+66oi+NLH8yU5OxCFmIqfVP51mGVljzMlVgX914brToQWqHtCsB6IVQbzf3R076pAcMQlZ3tk805Q2yQEUsoyeesNzZXcc1sTpqEVPyIWMctsTKFYKKa8ihjqYXLgwIGy6y+//DJf+tKXgKDXx8mTJ+dweIvHv148AoAuBKbQAlUM38PUNN66cnLlsqng+T6+F8hA+oXAxPX8so07f8Nu5Cs/Hs6fzhcaNoVjw7nU298KgNj+VvxXfkyrWMGbid30yGHn3Oi0c1f2EKudNtqMRn5S86ukfBNfaNxqXSWkhwiRRfez4JvBZ2WTkM8g9s5MKnfPLSvYd6AF8MpypJeLMtf1iGw5iaifOMd7IJUnGpn5btl0JIaH8EMxzN6WsmuRkEk66yClnJO0grXxWp5rO43tuVi62g2cDQ82b+N75w+S9yjL+V9qCkkQqCTJfd8NvimtQRknzbF4vxUp1KDIILgJhctOXfIiRI5CMCAL9xgW7LyfvBbmpUNtXG4PFpNhS+ee25pG1VOZpsaemxt47kALmiam5SeVfx1mOdnjpNQ2jU7zCseCWtJUQYlwaD0gRBAUx2uC4CSXRtzzcPFtpYHJ0Lri5g21HDl1DW9E+XFjQ4y37W4u+lqtkG6oq3oTxSIx5Vn61KlT8zmOJcegk0dD8EurNnMh2V3MXX+weSs316ya9vN8P5BD9AtBiOv6+KMlw0ehNW/hyrZf5ui5PlIYxGNptueOQw6OhW4mZVWTuGRxizGAL1ZyJPFe+rKymJ7aZLfxluxBmt2r2Ji8ELuHN0Pb8YVONKJhWhov2jt4IZ/nVuMKdzlHobcTkFDbiLj3A4HKyBRUcEZSqtLV3ZfBl4EiyKHjncXXS7nY2n/dKs8sGVpPwVt+ZcJb+gdzs1Twys8gQIkH3eRLNPp1XWCZOumsSzw6+5TKiGGyIprg9EAnO2qUqsxsKFU7XMoKSTCxQuIQRf/W3VaQdC+gm8EiMFpRppjkG2EyfpghR9tmrOSYuZ0BmcA5lMVjeL4UAnK2xwuvt9KbrOX2rSsQIuj1E7IM4lGLlXU9nL7Uh5TB/VvWVY/p+0b6yJs31tLamRrXZ94oPnU52eNYjJxf6TOConcITkciFUFN1FBQITTYdjeXsjEOd1skk2Eq/BS711hsXL8zkFW2PXK2W56pCNy2pYHL7Un6ksOpgNUVFr4P33/mDImoxa5tDQym87x6rLOoxrW+qYJ01i2zJZhcLe5GsUHF3DPtbcSrV6/S2dnJbbfdNg/DWTp8evvb6culsXSD+0tSQqpC01M1SmdtXDc4FZlqM65SrnQmeaVNR4/VYeXTZLMh9kfvCqTQpYPppBjo1Xj+QLrsqLZJ7+fu3udpcjsAaNdX8IvYW+gyVxIOmcTCBum8x0DKDWo/0TjgrwNhc1f4ZHGHsRicDKnghKOQ7kfu+y7+XqYUpABlajPprM2+Ay3sLXm9VJEmbOlj3qOYHXKwF/JZmERqd2DQZl3TzJWzun2bbcb0UisCqWHKpYYJcp8H0/k5CVBgqKt8mwpQ5oDtNY3LZgGord85ZkE8lKh2eS7kS6R/oxVBv6m3P4JIJ5HPfLvwMB03VgOpYMHYFmrmlchuPAk5TEa2F5MyUIZ1XZ8jp64RMnXuurWxqIT08pE2Tl/qQ4jgPgmcvtRHdUVbmTzrWD7yxPmecVW7bjSfupzssZRR82vHxeHgBAHxKhi4NnwtXg26zqWzLTwfvhsdSUhzSYsY+69Z8MYx6jbehO+NXnHkbY+nX7pYDE4CkQVBX9ImGvYJh3Q0DV460kb/oB3U3ovgfacu9hEO6VTELNJZm6devAhCEA7p49rXjWaDirllymd37e3tfPjDH+Y973kPv/EbvwHAT3/6Uz73uc/N2+AWk7gZoiFSnstpajohfXoLJc+T+DMMTgCOne0pKryIXAoDDxsTR5h4QiepV5L1jWJwsrrG4Ndix/hg1/docjtw0Xk5vIfnYveTDDVQGTPRNUFvMmjeFWzI+GiF7vOvsyFIVdCNYEeHESo4Qox6fTJK1WaECL7q+vBJylTvUcwO2XoG6ldPmC4lpSSZtonNIsWrZwYpXgjwQwn0TH/Z5UjYYHCOCuUh6Cr/Zm8bU1RXV9wAFP1bPhv4N00PvuZzwWLwpR8HC8ih2j+hDXcxD0c5Fr4Z6UlyIhq8BoXalWEbE0KgCUE8anLmcl+ZTOtrJ7sKwYmGEFrha3C9lOn6SOVTlwej5lenROQgmoBcZjg4CccDIRwzzGFrJ7rvYAkPyzKpTITQdcGBN7vGDE56B3L85Ofn6e4P0sRDlk5l3MJ1ZfCxrkciaqFrgv7BwOcO2eTQjJG3vaIt2a5P3vHUvK6YN6YcoPzBH/wBv/RLv8Rrr72GYQSLj3vvvZeXXnpp3ga31IgaC6TcVcJgxh7OAS1kbvlCxxcGaT2OXyiSM3VYQxcPt/0tzS0vAOBg8C+JX+FceBOxWAgrEiKTtcnZHn7JAk1KASLoTGwPHaqVqtwMdAfflzKRCs4IBlL5UbrpI9VmpnKPYnbIK6cQdROfHKQyDpahYcywKDInPWzpExPTf78fjqGNCFCiYWNObaAmFCgRtmcGJrlTccMw5N88l2J+odCC3Ww7C52XgroVoUFFbdAbSugQq8DTQ/RSQUaPBYtLKRHSQ4jRu1LRiIEA+gfL7dl2PEZuGYjC9bJhTtNHKp+6TBhrfoWge7ymlchdEwQsQkCsgiRRIgZE4hHQDFIZBzuXZ9Ab7XvPX+nn8V+cL272xCIG8WggGez5El0TxCImni+xndG550OmXLqv48th5a8h1LyumEumHKAcPXqURx99FE3TijuwiUSCwcHBeRvcUkIX2rRPT+aCRNTC83yklOS0EAN65fAOnpRYfp4at4e3p1/kAz3/gpYZQGoGGT1OSoujWybReBTf98ikcni+HHWaI4QsBD8Ci8JOTanKTWVd8H0pE6ngjKAyHsL1yp3eSLWZqdyjmCWtp6Fu8gL52CzSqXp8m0ptZlr5vhVHz5QrecUiJsnU3J2gCCHYkKjjjZ7WOXumYpkz5N/0gmohBKldSLjWGnwNRaG2MTgZMUyIxen1Yzyh3x1IDAsB0kfgoeEjSmqpIAi0NSFI55xR8t2WqY/yyZLRMt/T9ZHKpy4TxppfNT04LRnqJD/EUD2UZrAi6uHpIVJpm2zODupcpUZcc4u3+77kwJtX+cXhVjxPEo+a1FaFMfRh4zT14GTPdvxi9/iRDN1d6tY1AZpW7ufVvK6YS6YcoNTW1nL58uWya+fOnWPVqukXjC9HwvriNCjatqGabN6jL5kno8WCExMp0XyXmJdivX2Rhwb/jW3powC4Nc2kHvwE+a33occS7OEM6ZxLxhFE/AwSHelLQmbpP72GT3CScjsXgiPmEpUbseddwe6ikw+2UEa8Phl7blmB50kc1wvU0FxvlNrMVO5RzByZGQyKfKvGb/wG0J/Mz6pAvtubQXpXAS8cw0iNlhpOpu05Tclal6hVAYqiSNG/hSJBZBBJBIXyqf4gINENxDs/CrftBQR+dSOHc408ad1Hv16FkD6mnyfsZ5AIfAQSgV5Y1oVDBpomGMzYSAm7tpX3INq1rQEpwZc+UvqFr6Pvm66PVD51eTBqfrXCQd3JCF+IbgZNQsOVpFzB2vRpUnkP2wOJxJUCD8GOTUFbgUzO4af7L3LiQg8ATQ1xfuWXNnL7tgY8H1w3OLmrrgyTzXtomijaSajQX2fIJoe8b8jSi/dYhkbI1NW8rpg3pryS+M//+T/ziU98gkcffRTXdXn88cf5q7/6Kz7+8Y/P5/iWBIJAAWgu8VtPI4+9EHSHT1Qjtr8VrXlL8XXH9Tl9sZdj57pLjlwlYZnn9twbdIlqGt0ubs8fRQAeGvaOveQqVsHR/YS8PJGwRoXbCe6rHNa2kgzXEwtZ5PIetuujieCYVgIIg83iKnfZR0ep3ExFBWciStW8xlPymMo9ilnQfhZqmybsfwKBgldVRXjGH3NtJvUnBfxwAr3jTNm1IHcZcrZLJDQ3/webY9U8ceUYg3au2IBVcWPivfxjeO2ZII1GaEHNiZ2HXElmQEUdMpdGW70FL5rgyQPXOC9rQUCFP8h9+cPkMThmbsbDwhEGoKGZGnEdMDSSqTwSqI0IWjtTfPNf3iz6uKFC+NdOdhUVk3ZtaygrkIfp+0jlUxefqahfaut34t18qWCHOaheEdRDlarJrVgP626Bs69jd7Xj5Gwab7mHu82KQOHTN4hrLtvrfRqvvMTVk/v5ubGbLEHq2M7N9dy+rQFNCFavqKB7TZZTF3sBQd6RmIYglXFIZYKeaM0rYqxeWVG0yZA1WsXr/j1Bzzs1ryvmiymvJD74wQ9SVVXFP/7jP7Jq1Sp++MMf8ulPf5oHHnhgPse3JAjrJro2d1rgfuvp4d4moQhkB5Gv/Bj/Le/HXbGJU4XAJF9o2qXhs4l2tsuLxL0UF2UF9+QOUeMHefSdeh1Px36JNd0Ot3ceImr6QY9FMwwZh/UPvIuN63cWFTUSMRPPkwymbTQBiVigdd7hraVl71vHdB4TqeBMhfXNVZM6panco5gZfutZRO3kCjcDgzbNK2be3Oyan6dBGyOfegr4oThaLhXsWpcEUkNpXnMVoBiaxtp4Dcf62rl7xYY5eaZi+eG9/GN45SdB3opuBfn9+Wy5khci+P7VJ/GjCYxNu+h+401I2WxbX8OeW27GMO4O7uxM8sobV4lqoOsa2YwDhkE6nUPDx5eCnoxGyh6ksjJSpmh0921NowKSsZiuj1Q+dfGYqvqlf/FNOLEfYhWwYi0ke4JGoRAUzkfikEvBhTdASKhugIF+OPcaTW95P6sfujd4Tutp/Fd+zCl9HYeMLfhomNLlvk0h1t08fGJxpTPJxbYB6qsjeJ7kWl8Gxy0/oW7tTBOPWvzWI7dP+nOqeV0xX0y66j527BhnzgS7mg888AD/83/+T7Zu3UpnZye/+MUvSKfT8z7IxUQA4Tk+PZHHXihvtGRY2HqYI0cu8P2nz3D4RCd520PXBFv1Dj7g/py3cIo4WcL5AW7LHqXGH8BD45XIbv6l4v2kwrW0mo0kRDYoStONwpGxX1TbKlXUyORchCYQQpDJeUpd43qn7XSQQz8BjuPP+qSiu1CDMiM0Dd+KBv1QSpjrOhSA9YlajnSrNK8bmteeGVYlTNRALj3cmBGCIFnTCvV2tXA0EB955L3b+H+9bxtvubURwxieQksVF3VNwwrrpDMOnizk8BdShG3PV4pGNwBTVb8s3hetDFK8+kvU2+JVQZNGzQi6yJuBHDuGFTzr2AvFW52jL7Jfv5VXxTZ8NCpJ88scYHXb/rLPO3Whl4q4hecFzaFHBidDnL7UN+Z1hWKhmDRA+eM//mO6u4fVmn7/93+fy5cv8+EPf5izZ8/yp3/6p/M6wMXG1I257zo92BfkkwI5afC6v45/EW/lDXc1tuNh6IJb1kT5tbtruTNzmJjuors5KgauEMn1oSHp1mv4fsVDHI7eTjgaIho26M9KRCQeHA3nUoGzK1HbKlXU8HxZLHzzCkocSl3j+kQ6eehph0kajA6kcsQjJkKbWa2VLyW9vjPjFC8AP5JAT4+oQwkb9CVzM37mWKxP1HFqoAPH9ya/WXF9YueCbvGxyqALd6laEkNywzqEE4FyV087ANFIIOk6kiHFRSEgFjXIZl1c32fI08pAKjFQTSygfO51zFTVLwe6AxvTdOhqKXlBC9YJ0cqgHspzyt+nm8FaAhhM2/xbbhsXRLAJtU508V7tNSp0p3jPEL6UOI5fnPfHQymxKxabSVcS58+fZ8+ePQAkk0l+/vOf8/jjj7N+/Xr27t3Lhz/8Yf7wD/9wvse5aETmQ7krUU0um+O4tp7TshG38M9g4LFtbQU3r44SsYJAwo/GCQ+0Ec4PIAj29g6Hb+WVyG4M06AiYmLbHsmsjYkXFNaVBlQlaluV8RDprB3s3GmiKDWsFxakSl3jOqXjElQ2ICY5CewftGel4NUvHaJCw5ykzmUivFAcPd0LDKdexSIW1/rmVhY4aljUheOcGejklurl19xNMQfEqgJFrlR/ee8JGJYriiaClVp2cFLVwkTUIpuzSUTDuG5QEIwUgUoigYy7LPkelM+9rqmsC1K1zJJ/37HUL2tWgWdDb3tJeqEAwwjSvtx8sOmojZAP9hxIVNPaOcjPD7ViiwqE9NmlXeRm0RqYsBvcM0QkrGMZOsl0HnMSKflF0ARSKMqYdCXheR6mGSxajhw5Qn19PevXrwdg1apVJJPJ+R3hIqJpGqE5Pj3J5BwOVd7Dv3Ifx+UaXAxMXHbKC/za5jy7N8aLwYk20Eki3UGkEJx4mslgbBUpI0EoEiYStkhlHDJ5D4nG7dGeYKIdR22rVFEjGjaQvkRKSTSsK3WN6xjZfnbS9C6AvmSOWGRm9SMA17xZpHcV8MMJ9FRP2bV4xGAwNbdKXgDr4irN60ZFSgm3/lKQ72/nCo0VC2gFnx+KFG72pqRauP2mWkKmgeN6QbF7sX9VQdq9YL+WrilFoxuAKatf3vpL0Nc1LCk8JHddURfsSGaSEAqDFQLHDq65NtJzOVpzD8+8fBnb8Qgb8E7/ILf4FxDIIBjyXMT2twJB09twyAxUvEqUtUxj7Ehky7rqMa8rFAvFpKvvTZs28W//9m+8973v5cknn+Tuu+8uvtbZ2UkikZjg3csbc+SOxSxIZx2Onr3GmUt9wdGqMLBwudm7yFbrGtbm29BWBYEfvod16HHCl48Eu25APlRF1khAOMzuSJJE9hgHs5twhIklXW6PdXHPv3s//sV1RdWQS7HNHI7cRvI1qDxzmj23rGDvXWuKiho1VRGQEtv1iUWsRVfXuNjar9Q+5gHZFweJ9AABAABJREFUegbRuGnS+/qTedY1Vcz4c675eSrF7AIUL1KBde1i2TXd0DBNnVTWIRGdeQA1ko0V9fzw8hv8eykXRUJcMf+MpaIk1twM6STa5t34Vy/AhSPDb9CNIEApLU6uWQXNW5CHnsJ77rtQWYfc8z6oWV/2WWtWVlARtTh4vJNUNk9DfYKYN8jFaz621LGEx/p6nbSeGOXjFsL3Kf+6sIxS57LCsOudZQXyMpdCxKuQuZJaXs+F5q2B/XVehspaxP2/zqVej8Mne3C9BK5IISsr6W4PAuu66gh771xDpMccUx00EtYJh4Ll3khlrZV1caT0aetKI2VwcrJlXTXvfdvGGf3cys4Uc8WkAcpnPvMZPvnJT/KHf/iHaJrG3//93xdfe/LJJ9m1a9e8DnC5M5i2OXKqi7Mt/cWuqyFTY/uaKFubIphGuXKLlrxGZP8/YBR2kT3NJB2pxdMsxIadhLvOE0p1sDt/id3WqeAIORyDQR3/4rqi2tbF1n5+dqAFHUHY0oYVY+5aw4fetWXkMBedIYUxXReELb1M4UY5t5kjpQ8dF2Dn/RPe5/uSZNomFp35iWGXn59V/QmAH46j5wZGKXnFoyYDydycBig1oSiG0Lic6mVdonbOnqtYGoxSUcoOIg88gcym0VatR167Ai0ngps1HeKVYIQACZEE4s73BhLrY6kxHXwC/5Z3lknDR8IGVRVVrJumv1oI36f868JTps411IzxxH78lcE8LfMZZGYQ+fjXhxs1Cj2ws8FeWLMV/Vc+CQT/fs9fasFIrCBk6vRkdPxCTLN5XTVv2bEKXdegeUvwp4QgOCnfOJovZS1lZ4q5ZNLVxJ49e3j++ee5dOkS69atIx4fliC9//77ee973zuvA1yuOK7P86+2cPxcd7HYLGwFgcmWpiimPmLHVvpYZ14hfOw5RKFwNxeuIhutBU1HNw2iV45gUCjqNU3IFBZy+SwkqoKdwsLuTKliF1D46nHoeOeSdBTLbbzLhp6rYEUQ4diEt6UyNiFLx9Bnfmp4zbPZac7yRFXTC0pe/XixmuLlWMSkbzBP88rZPb4UIQQbKup4vadVBSjXIWUqSpoe1JwM9sKRfcjo+5HP/G2wMNQMiCUCWXahBcpJmWTRn5Y9BwrPM5DHXywuBk1TI2TNLDhfCN+n/OvCM6bdAPK1Z5GNN0FmEE68BAPXgteFDroeKMql++Hw0/CWXwGG//1cT9I7kCmuKSriFvdOIE8dDRuEQnMs8jMBys4Uc8mULDcej7N9+/ZR1zdsUD0ExuP0xV6OnQ3UOqIhjR1rYtzUGMEYGZgA2mAPkYM/xOi5AoAndDLxFbhWDHQjqDexk4jkNWi6CbouB0fGQgQTqueOUgcZSOUJW+WLzaWsGLPcxrtckIUGjZPRl8wTn0WBvJRydhLDJfjhCvRUb1mAEo+adPdlJ3jXzNhYUc/z7af5wLpb5/zZikVmoDs48bDCgX/MJINi44Ee5FP/NyhIDkULKV2Fhp2xiuHd7CF/OvScUnQTBgJ1JF0XRMMzt/uF8H3Kvy4CY9mNFQnqSDJJZNdl5MGfFl4QwXweSRRrVUobNQ6k8pi6YGAwsE1NBD5xIiWuhQ5OQNmZYm5ZEOvt6+vjd3/3d2lpacGyLNauXcsXv/hFampqyu772te+xt///d/T0NAAwK5du/j85z+/EEOcczasruTWLfXEdZcNDWZRKasM6WOdO0j46DMIzwUgv2EPmcE02Fm0UISICVa2F3wXqhqCUxPXJqiUE8EJim6MUgcpVewaYikrxiy38S4XZOsZRO3E8sIAfQOBxPBMSUkPAUTE7Ou2vEgFxmA39orhuplE1OJsS/+snz2SVZEKMq5NR2aAldHKOX++YhGpqg8WekILTk6kDBSRnEygbmRYiAc/ijz4FGSTwQkLBAvEUn86lhpTQUFJaIHssDZDaW5YGN+n/OsiMNJuND0IlKVE5lLI5/+hIM5QsJ1QJAh8U33BdSs8/Kh4iFQmj2VqGIZGyNTxfZ/EOKImkUUITkDZmWJuWRALFkLwm7/5m9x1110AfPnLX+bP/uzP+OM//uNR9z788MP83u/93kIMa17p7E6TTNm0p3Oca/fZsSZGo9MOZw8HBZrhMFEniTnQAYAfqSB7x0O4KzZCxyWMU/uJDl5FT/VBJAJmBHIZLlHH4eh7SIoYFf4gu3NvsM5KjlIH2XPLCvYdaAE8DF3D9Xw8T9IcSvFP33mGpGdSoTvsubmODbvH7ha7kMVu441XKdzMkrazcM/Dk97Wl8yxqmHiNLCJ6PLzVM/B6QkEAYrZf7XsWsjSkVKSzTtz1lEeAt+0qaKew91X+OU1KkBZLoxV/F5afAzArgfhhX8OghLdDIKO1EBRslXs/QgyW2jOmBkM3jPYC8KAUBhx/68DgRqT3PddAC5pjRz21+OHatDCIe4YyFGVCI8a14HBOl7Xt2JjYlk6u7Y1jNspfizfl8t7aMLhm//y5pz4XuVfF55Su8GKBMHJYB9Ur0D+w/8cVo6rbYTejuA0LzMQbEZKH6wI3jd/Dyrr2L3hAZ6/pJOImSSiFn3JHJ4P26uzeD/95nBR/I63Ed2wrVgQD2PP40DZteYVcVo7UxPeMxUbVHammEtm3rBgGlRVVRWDE4DbbruN9vb2hfjoRWGoUCyTs7FMQTbv8fLJXtreOArZQSw/S0X32WJwYq+7ncF3fSoIToQgHLaI233omf7giFi3INnNpchano/eR5owIWzSWoznY2/lUmIbYu9Hyibo9c1V7L1rDbGIRc72iEUsbq51OH5pkLSnExIuaU9n39EBLhx+fdyfIZ21y4rdLrb2z8vvbKzx7r1rjcpbnQVysC9IBUzUTHyflPQP5mdVgH7Nz89JeheAF6nESI1oZiYgEbPoHZjbho0AmyoaOHzt8pw/VzE/FIvW0/3DRev7vhsUJQPS95GpfrTqBrj9HfD/Z+/N4+Ss6nz/93mep9beO529swMJIWFLWCIIGkAQEQR0Lg5zR8dRrqNcf+Po4IgzKriiXnFBL1dmXEYREQUBBcMSIOwQQgiBJITsW3fSe9f6bOf3x6mq7uquXpKu6q7uPu8Xobue9VTXqXOe7/l+v59vpBpSSZWrlwmbEe+8Gul78MKDqkBjtBrinaogIz65avIoNSax+lp2hxbyhH8ScSNKqKICIxzhqZf35cbEbLtejE/jRfMkHGlgSBfH9nhh0yGe33ig4PvpO/YZhgFS4ktZtLFXj6+jT7bfUFGb6U4C6mfArk29ZK2FKgA6f5nqm066J28lEMj173kbf8e756vPLe34RMJBzp7tMWvLX1SNnlAE0nGCmx8n1LQt14ZC8/iaZ3ax5tnduW3tXUle2HSI9q5UzzHP7mbNM7uOev7X/UxTTEbdB+j7PnfddRerV68uuP8vf/kLzzzzDFOnTuV//+//zWmn9V/d7+rq6ld/pampqSTtPRayiWKWZSJ8tZJAMslOYyaLE1sJOKoYky9M4jWN+GdcAYBhmETCJtYzT6iwhNnHQWercvkaBq/I41QCmgDMIMG6GTiux4bILBYt6K/M1Vep4/e/fhQTk4BQ4WEBIUH6rH+zhYUrCr+H0Ux2K5WyyGhQjn1SHtwOUxuHlNCNJRwsU0n5HivNXpqaESp4ZZHBKPguhp3ED0Zy2yujykCZPa240uazK2rptFM0J7qYHj12meVyoxz7ZDEYMPl4/Rrk3KXK0MhU3TbmLEY2noB89j7lvQbEWe9DLDwF+fB/qaRkEQA7DYgemeFwRZ7oiLHgZDa8FcLKhK8YoQCu44EgNyZm2/WqOB6BxBASJAg8fGGyYcvhAb0ovce+e9Zsw/f9oo+95TK+TtR+WYisqqZ0bIi14f/3V3t2CkOFfQWC0HkE8+O3AODd89380LDMz3k7H2Phh/6VRMohnfaU58S0lGdGGIQqKonGDyNfflgZPBSex7tcG4la8AFI2z5CQNr2qIgECFgmnTEbAVQdQx8sl36mGf+MuoHyta99jWg0yt/93d/123fNNdfwyU9+kkAgwLPPPsunPvUpHnroIerq8gsG/epXv+K2224brSYfNf0SxaTkhOQ2zkhuICDVxJkOVpGMNiBdDwOwAhbRkIGJxO9uVystnq1CDgwDJHSJSkJ4KpnOVTkrR5OA1uUFCAmXXMwrYAmfLq//yrdOdjs6yrFPyn3bEPXDzD+pGJn3o9lPs8wqkuEgwIvUYnUfwZ4yN7e5uiJAc0vxE+UNITi+ZiovH9nDZfOWF/36Y0U59smiUCj5OBRV+Sax9rzkYgD5yiM544ST34VY+g71e3c7VNWq8K50YlDREcgfE2MJNY7njYmZdtmehUFmhVwAUiIA28lv14Bvb4KPvRO2Xw6BTHTlDGeVFG+ouT1S1aPkBYX7d4H+SHe78pwIQTAaJpLuVHlWQ4jl+JK8oreer/pn74R73+9fG2oi9UHN+GBUDZRbbrmFPXv2cPvttys3dh+mTp2a+/2cc85h5syZbN++nTPPPDPvuI985CNceeWVeduampq49tprS9PwoySXKBYwCbsxzjryCI3J3YDymiQqpuGEKlWiZnU94XCAsIWq/oqAmQugo1lNmKalYlKBahkjTrUyciz10R1NAlq16RD3sh4UhSsNqk2n37E62e3oKMs+uX+bCnEZgtbOkdUXkVJyxLOpCxYvN8SPVGN2H4HeBkpliC0725AlKKy4uGY6aw++xfvmLpswRRvLsk8Wg77Jx8EIIFVkVl/j5I1n4fV16sUJKxGnX9izs3aqkkNKxxlKdASGMSZm2hUULg6mGs8lINTIHhymh3Kij70Ttl8OgvQ95JN392wwzIxqVzUkY2D1GjsLiTIU6I9U1UGym0BlHVGnG+GmhyWWYwiQvcY40xB4vswT8jEMQd9RcCL1Qc34YFRyUABuvfVWNm/ezE9+8hOCwcIPQ83Nzbnft2zZwoEDB1iwYEG/46qrq2lsbMz7N2NGEQskjJCVJ03H8ySz2t7gop2/yhknnVYtXZWzcIIV4DoI06Ji+ZlErIxPQxhQUYs46Ry1ouekIVqlVkWkZIV4G08KHAxkpBrH9Y4qAW3l0gY8DByp6tM7UuBhsHJpQ/9jM+/BcT2klEd9r8lGufVJmYwp71vt0J9Xa2eS6spjN1C6pIspBOEiKHhl8aK1WF3NedsCGfWaUqzizYzWYPsu++LtRb/2WFFufbJYiJUXKy+Hk1YPcZ4LHUfgxLPyjpM7NiJfeki9mHsiYtXl+cbniosg3qWuIaUybqRUq9J9REdg6DEx267T5HYkAl8qw8THREo4/cRpw3p/E33snaj9cjDk8w9A8+5eG/xMaBZqrj/9otyuvP4tZU52uG9/FMveiRUOU5FuQ9iJgscV6kvBzDia3RYKGqrbZ4RIHNcjFDAJWsaE7YOa8cGoeFC2b9/O7bffzvz587nmmmsAaGxs5Cc/+Qmf+MQn+MxnPsPy5cv5/ve/zxtvvIFhGAQCAb7zne/keVXGCwsaa7n0zSeYtkdNjmkR5PCcd1A5d16PiteU6VSceCrBmfPUSYYFFTUIK4BYsBxv5nGw7aVMRW0BoQrm+828O/I2r0ROpcsLUBMJHpW6i1LrepX1b7b0UvGqK6jitaCxltUcvYqHpkw48BY0NCIKeCp74/uSzm6byoXH7v1o9tLUi+J5TwDcaC3hQ1v7ba+uCtHSnsxTTioGQgiW1M7g+eZdzK0cXFRAM7YYC07GX53JRUklVIjMWZdhzFmMv28bbH4G2g9DOqZOmD4fcf7/QBhmz/5swnyyO+OpDqhwG9OCuukFVcGGGhOz7Tpr/Rro9oet4tUXPfZOHLznH4CXH+6prTNtnioEunOTMoQT3bD4TMxVl+fOyevfg6jUBeYvIVppIV56SKnTFTiuUF86f+Uc6LWtrjrC8uPzVbzOX3lsKl4aTTEZFQPl+OOPZ9u2bQX33XHHHbnfb7nlltFoTsnxd21i2q6nwTBwwrUkzSiV7Tth7jyM8z5IIGgRDRgqiRLUSkq0GmGqj8N7/gFlnAgBRiBTLT4Bp13AolWXs2gEbVu44rR+CfEDoZPdxi/+3i2IhqEfiDpjaSIhE8s6du9Hk5+mtkgKXllkqBJcu1+ifE1lkMNtCY6bWzfI2cfGibUzuGfXBj644DTMIQw7zdiSTT4GkB3NSvVq3zalyiX9TNgWKpRmydkIK9Cz37QAoTyMSOWlNq1+SoiFGGpMzLbrHcA7RvD+9Ng7/vGef6CnP4Kazw/vgfYmmDYHwpUqVPvQ2/i7NuX1vd79uxCmKaiMBDHmnQTzThq0HQP1peH0L90HNWOJnoVLgFy/Rq2ONC4hOfMEZDAChoHY9TrRSJDKYC/jJBCBytqccQLAhkczxomZ/3PDo2PzhjTjj31bYeqcIQ9r7UiNKLwL4JCXKloNlBwCvIq6fmFetVVhjrQl85I8i0VdKEpdMMrrbYXlYDVlzuZnAJmpaSLVuFlRrRZ7svsDQbUglOxSHhMhlDfFtNS4rdEUi9w8bkEgrP6BCt+qqAE7ocILj7LvGYagIjqy4qAazXhAGyiloLMlE1/aK+ksWkWl103IlOQSMiOViMoahOjzMdgplY/SG2Go7RrNEMhEl1odrhs6rvtIWyInN3msNJXCQAG8ilqsznz50XDIxDRFydRkltbN5KlD20tybU2J6WxVxon01XhZPUU9FHZn8oq621VNoFy9E1CWcGHVLo1mRGTnccNQXrrs80C0qie/BI6674WDlvbwaiYFupeXgpqGXMypEAZWtIJKElii16QYrUaEKwufHwz3KuSUQfpqu0YzBDLjPRkq/wSgpSNJTdWxK7PY0qdTutQVOQcFwIvWEejoXx+hrjpEU0u86PcDOKFmGrtjrbSkYiW5vqY0yHQSnERGxUtAdb0K5fIcpXYEUD9TGSOe22t8lQOqdmk0I6LQPB4MgzCVgZJF9z2NpiDaQCkBORUO1yZoCipTrZjdbXDSOWpFpbIWEYoMfIHTL8pXlcn+7KX0odEMhNy9GTF17pDHxZMOnucTCR17Klqzl6bOCGCUQJrXq6jH7D7cb5Kvrwlz6EhpDJSAYXJi7UyePPhWSa6vKT7StZGP/VrJtkMmpySgHvw8D5adq7affgEkulT47TBUuzSaEdF3HpdSCTq49pAKXRqNZgwKNY5nNrcd5JH9W2hJxWgIV/KexhNZVj+r33E5FY6NTxBq2QNdLapi8c6N+NVTMGsHl5s0V12O196sYqd9Rxk1fZQ+jhV/16Yh1UE04xcpJex5A865ashjj7Qnqa0Oj6juxyE/VRLvCYC0gshgFCvWilvVo+ZXWx1my8420o6Swyw2p9TP5nc7X+GyecsJm6V5b+OZ4Y6Do4H0PeQTv1PJxwiYtxQO7lChXoEQnHQOxpzFYIUwFp6CNAw1/vmeWkQyTBUK2bgYuX4N3uN3FhwX9bg5PhnLvpo/j3sqKX7uUsRxpw7Zl7znH1A5LHZKeV1Ov6go879GM57QBsow2dx2kLt2vIwpTKJWkA47yV07XubDnDGwkSIM5DN/VCt61VMgFYfHf40/hFqMv2sTHHob6qap+FTXLqj0cbT4uzYh196pQhrCUYh3INfeib8aPdlOFNoOqZW5qqGlcg+3xqkZYYL8fjfJFGNk1xgMt6KeQPvBPAPFNAT11WEONsdY0FhT9HvWhqI0VtTybNMOLpi9pOjXH88c7ThYSqSUyEd/pQQhAE5YCQffhmglmHUqvOvtDfgz5mEsPgshBKKAOtJQ46IeN8cnY91X8+bx2mnKIN77Jhx3KuaH/nXA83LqX1mBHCcNLzyIB9pI0UwqdIjXMHlk/xZMYRIyLYQQhEwLU5g8sn/LgOfIVx9XFWJrMw9XnjssxQ65fo2aDAMhNUgdg9LHaF5XUz7InZtgxsJheUUOtyWprR5ZZeD9fooGs3QGildZj9XeX1Vran2UPQc7S3bfFQ1zeWT/Ftw+lcknO8cyDpYK+fo6VSke4OR3QVer8lRnBUqsoFLt2vl6vkpi3+sMMS7qcXN8MtZ9Na/fSJmZ/82h+41W8dRoAG2gDJuWVIygkR9OEjTMwZNpu9ogVKEGJjuptg1HsSOrAtabYqjMlOq6mrJB7tyImDF/yOO64zae7xMNH3sIU1r6dPhOyUK8ANzKBgIdB3sUbzJMqQ3TEUsTTzolue/MaA21wSjPN+8qyfXHK8c0DpaKbPG7JWchTr9QqXT1DcmrrIPWQ4NfZ6hxUY+b45Ix76u9+02iS3lChtNvtIqnRgNoA2XYNIQrsfusptq+R8NASlwAFVUQaz96xY5eKmBHdd5QlOq6mrJAJmNweC9Mnzfksc2tCepGmH9ywFPhXWYJEuSzyGAEaQYxY6152w1DML2+grf3tJfs3mdPW8Cf976Oo70oOY5pHCwRxukXYXzyBxjvuEL146pMWFeWQEZFKTpE24YaF/W4OS4Z8756rP1Gq3hqNIA2UIbNexpPxJMeac9FSknac/Gkx3saTxzwHLHiPcpzcpSKHTkVsCIrfZTqupryQO58DabNQwwjsfvg4Rj11SOb8Pa5SRpKmH+Sxa1uINi+v9/22dMr2XWwk7RTGgNiVkUNDeFK1h7YVpLrj0eOZRwsJSJa1fNi2blKtcu11YpzIAixjhGPt3rcHJ+MdV895n6jVTw1GkAnyQ+bZfWz+DBnHJUiSE7N6yjVX471PICdr7zK+jdb6PICVJsOK5c2ML/e7LlWdhUmldBqNBMM+dZ6xOzjhjzOdX1aOpIcN3dkCeZ7vCSNZulX9dyqaQRb9pCce2re9nDIZGpdhDffbuG0E6eX5N7nTl/EPbs2sGr6Qqr1CuYxjYOjhTFnMT6oivHSByuIePeHhzXeekt391NNyp6XNx63Hsypf8n1a/ApnCi/a38H699opjOWpqYyxMqTprOgsbbYb1kzCGPdV4fqVwNhrrocD4al4lVovl+44rSSvB+NZrTRBspRsKx+1lEPbkYB1ZhSnbfzlVdZ+3onJiYh4RL3TNZu6uDdzsvMD3YqBRrXVqs4FwyuJKYZX8h0AvZvg1PeNeSxTa1xqiuDWNaxS/T6UrLPS7IiWHwVrb54VQ2YuzcgPBfZJ9l5/uwa1m9uZvb0KqbVR4t+7/pwBSfWzuAPuzbwscXvKPr1xyPHMg6OFsacxTD3RKisQ1jDy43yd22CN5+FiuqesJw3n8WfMT/fSAGl5hWOqlyCAdS8du3vYO2LezFNQThoEk/arH1xL6tBGymjzFj21eH0q4EwV10OQyh2FZzvX+8EXtVGimZCoEO8JhDr32zBxCcgJAJBQEhM3+UVY4lWoJngyO0bYPp8RGBoVa69h7ppqB2kUOgwOOyniQiTqCh+HZK+SDOAV1FLoECYV8AyWLKgjuc3HqS1I1mS+589bQFb2pvY0t6/qr2mDAlXDNs4geGrdA33uPVvNGOagoBlIoT6aZqC9W80F+XtacYHpVZ/Kzjf47P+TS3eoJkYaANlAtHlBbBEfnKdhUuX0ScpUCvQTDjkG88g5iwe8jjH9WluiTO1bmQGyk43wfRRyD/J4lVPI3iksKJWXU2YE+bX8vSG/by6pZnO7rQqWFkkgqbFBbMX86u3XiDZN+lVU15YQQgdpSdtuCpdwzyuM5bGMvOnVss06Iyl0UwiSqz+VnC+Fz5dni4uq5kYaANlAlFtOrgy/yN1saj2+8gqagWaCYXsOAwtB2DmoiGP3dfURW11iMAIK7C/7caZOQr5J1nsmpkEW3b3kxvOMqU2wsqTppO2Pda9sp8Hn9rBi68f5FBLvCjGyoKqBuZW1vPr7S8V1fjRFBEhIFJ19Mp0w1VbGuZxNZUhXC//wdH1fGoqR1ZzSDPOKLH6W8H5XhpUm6WRXtdoRhttoEwgVi5twMPAkQKJxJECz7BY4W/VCjQTGH/TOpi3dNBidFl27O1kxpSKEd3PlT57vSQzzdF74JLhSqQZwOocOEwmGDBZOKeGs5bP4JTFUwlaJhu3NvPYC3vo7B756vV5M49jX6yddYe2j/hamhJwlKFdWYartjTc41aeNB3Pkziuh5Tqp+dJVp5UGiEHTXlSavW3gvM9BiuX6sVHzcRAGygTiIUrTmP18hoqTI+0tKgwPVafXMuCiy6Bilql3FVRi1itE+QnCtKx4Y2nEQtPGfLYlvYkKdulvnZkno/dXpI6I0B4FPJPeuPUziLUPAzjQEAkZDF7eiUrTpzOtPooT768l6aW+IjuHzBM3jd3Gffv2cT2zsMjupamyFghVRT3GDAWnIxYfe2QY+Rwj1vQWMvqs+ZSEQmSsj0qIkFWnzVXJ8hPMobbX46VgvP98hqdIK+ZMGgVrwnGwhWnsXBFgR3aIJmQyK0vQO10RFX9kMdu2dlK4/RjCIHpex2nm9mjGN6VxambTcXbzxE/4VwVzjMcBMycWkE0HODFTQdZdeosptUfuwepLhTl4sal/L8tT3PDKe9hWqRq6JM0pUWYEB1Zvx6uauJwj1vQWKsNEs0xq3gOlwHne41mAqA9KBrNOEX6PvKlhxEnrBzy2Jb2JO1dKWZOHZkUry8lb7rdzDNHlmR/TPcOV+IHwgTb9h31uTVVQU5cOIXnNx4ilhhZjPb8qimcPW0BP3h9LZ12aZTDNEdBpGJY4Y0ajUajGT9oA0WjGafIbS+patlT5wx6nO9LXt1ymPmzqzGMkX3l93hJwsKg1hgbpRinfi6hA28c07m11SHmzqziudcO4Pv+0CcMwvL62Syunc6tr68l7mh1prFEBEffWNZoNBpNaRkVA6W9vZ1PfOITXHzxxbz//e/n+uuvp62trd9xnudx0003ceGFF3LRRRdxzz33jEbzNJpxh/Rc5LP3IU56x5ChLdv3tiORTB9hcjzABruDhebIr3OsOPWNBNr3Y6SPLZ9k9rRKAqbB69tHLvV51tT5NFbU8v3XHyfuaPlhjUaj0WiKxaj4xYUQfPzjH+ess84C4JZbbuF73/se3/zmN/OOe/DBB9m7dy+PPPIIHR0dfOADH2DVqlU0NjaORjNLgr9rkyrM1NkCNQ2IlRfrBHXNiJGvPg4VNYhp8wY9rr0rxZYdrZx24rQR554kpMdWN8aVkRkjus5IkKaFU9dIeP/rJBadffQXEHD8vFpeeeMws6dV0lB37CFvQgjOnb6Ip5ve5vuvP8Znl19A5TAKZWpGDz3+asYS3f80mmNnVDwotbW1OeME4NRTT+XgwYP9jnvooYf40Ic+hGEY1NfXc+GFF/LXv/51NJpYEvxdm5Br74R4B4SjEO9Arr0Tf9emsW6aZhwjY+3Il/6COPn8QY9Lplye2XCA4+fVEQmPPCTrpXQ7c80IkVFW7+pLeupCwvvfQBxj0cRgwOT4+bW8+PohXHdkoV5CCN454zhmRWv43muP6pyUMkKPv5qxRPc/jWZkjHpmoe/73HXXXaxevbrfvkOHDjFr1qzc65kzZ9LU1NTvuK6uLrq6uvK2FTpurJHr14BpQXZVNfNTrl+jVbUmGKPVJ6WU+I/+ChaegqieMuBxadvjqfX7mNlQwdT6kSXGA6Skx/NOG5eEpo34WiNFhitxq6YS3reJ5IKhBQIK0VAbobU9ycZth1l50sg8QkIIzpm+iJeMPdyy8RH+efnqslD3Gi/jZKnQ4295Mln6pe5/Gs3IGHUD5Wtf+xrRaJS/+7u/O+Zr/OpXv+K2224rYqtKRGeLWjnpjRVU2zUTitHqk3LTU9BxGHH6RQMek7Jdnnp5P7VVYebMLM6D8qOpI8w1ImOWHN+X1MzFVL71NOnZJ+EfY5L0cXNqWf/mYQ4djjFzWuWI2iOE4Kxp84mYFt957VE+fdJ5LKga24Jp42acLBV6/C1LJk2/1P1PoxkRo2qg3HLLLezZs4fbb7+9oJrQzJkzOXjwICefrFYX+npUsnzkIx/hyiuvzNvW1NTEtddeW5qGHys1Dcq92zsu3bXVds2EYjT6pGzahXz2XsT5/wNhFA6ziicdnlq/jyk1EebPru6Xd+JIHxdJEANzmDkpW5xutrjdXB4un0rYMlyJUz+H6PZniZ104TFdw7QMliyo56XNTVz0jnlEixAGd/KURioCIX60+UmuPe4MVk4dPEeolIybcbJU6PG3LJk0/VL3P41mRIyagXLrrbeyefNmfvaznxEMBgsec8kll3DPPffwnve8h46ODh577DHuvPPOfsdVV1dTXV1d6iaPGLHyYhWDCmrlxLXBcxErLx7bhmmKTqn7pOw4gv+nHyFOv2jA0K7WjiTPvnqAxulVNM5QnpO09HjTibHF7Wa/lyQhPSwELpJqYdFoRjjequB4q5JKo/9wsNnp4sFUExcEGwiNce5JX1Izl1C19UmCh3diT1t4TNeoqQrSOL2KZ149wOoz52KZI0/LW1Q9lapAmN/v3MCu7laumn8q5gjlnY+F8TJOlgo9/pYnk6Vf6v6n0YyMUTFQtm/fzu233878+fO55pprAGhsbOQnP/kJn/jEJ/jMZz7D8uXLueKKK3jttdd4z3veA8CnP/1p5swZvMZDOWMsOBl/NVrFQzMiZHsz/h++i1hyFmL28f33S8nO/Z28/tYRTphfT0NdhFbP5lm7jdedLqabIeaaEZZZVVQKEyEEvpR0SZfDfpqNThd/SR2mzggw14xQZwRwpM92L06373JhaCoNRuFFhTHFtEjMP53KLU/QGa3Fq6w/psvMmVFJImXz3MYDnHPa7KIYE9MiVfztopWs2b+FW157hI8tfgczohP/oayc0OOvZizR/U9TTrzvfe/jy1/+cp5gVbkjpJRyrBtRDPbv388FF1zA448/Pq5liTUTh2L0SbnnTfyHfoZY+g7Ewv4TWyrt8sqbzXR2pzlxYR2tQZ9n7Fb2uAlOsCpZYlUSHSAcrDe+lBzxbY74NgnpYSJoMILMMcMYI5QnLjVW234iB9+k89T34x1j3oeUsGWnqs30jtNmEbSK4y2SUvJa635eOLKbd808nosblxK2xi6PR4+TmnJE90vNZGP9+vV873vfY/v27ZimycKFC7nxxhtzKQ6aMUiS12g0QyNj7fjP/gl2bUKc+d5+9U5sx2P73g62726jdmoU7/ggv3IOkkh6nGhVcXVkJgExfE+AIQTTzRDTzfFXx8OtbyQpBDUb7iex8ExSjSfBUbx3ACHgxIX17NjXySPP7mbF0hnMaIiOuHaMEIJTG+awqHoqzzbv4EsvP8D5M4/nnTOPoy40cnU1jUaj0YwvYrEYn/zkJ/nqV7/Ke9/7XhzHYf369QOmP0xWJoyB4nkeMDHlCjVjz4wZM7Cso/u6HFWflD5mvINg6z5C+94kdHgXqZnHkzrtfUgRwm8+TNL2aY857I+lOOA4pKokHQs8WkWMGakAx8kgM4ggPEinE6SP5Y2OVwI1xGafRs3+zdTsfoWuKYtI1MzCjtTBMDxIWaZWQ9AM8PLmAwRMgxlTQtRVWUTD5oiNlRXhaRxnVbOt9RCP7d/ClECURZE6ZoermRqIUm2FjspbVfI+qdEcJcfSJ0H3S03pONY+WUp27doFwGWXXQaAaZqce+65ANx77738/ve/56STTuJPf/oTU6dO5Stf+QqrVq0CoLu7m29961usW7cOIQRXXXUVn/nMZzBNNc/9/ve/5xe/+AVNTU3MnDmT7373u5x00kmsXr2ar3/967zjHe/A933+8z//k9///vd0d3dz9tlnc9NNN1FbW0s6neZLX/oSTz/9NJ7nMW/ePP7f//t/NDSMvrhDeX1qI+DIkSMAE08JRFMWHEvowVB98qeXLOVd8wrnTbzZmuRIVZq77cPQux5hJPMvg+n7TOuOg5TsAfYcVQsnIDVTCOJhim7o2ga9yi3EZIAmr2JYlxGmIBiMsDsuIN6zvbOtiXhX24ibKSyTxLyZHLS7oXPg4577/PexO7oL7itFn9RoRsL999/PkiVLjvo83S81paIcwwYXLFiAaZp84Qtf4NJLL+XUU0+lpqYmt3/Tpk1ccsklvPDCCzz66KNcf/31PP7449TW1vKFL3yBhoYGHnnkEZLJJP/rf/0vZs6cyTXXXMPDDz/Mj3/8Y37yk5+wfPly9u7dW9A4++///m8ee+wxfvOb31BfX8/Xv/51br75Zr7//e9z3333EYvFePLJJwkGg2zZsoVwODyaf54cE8ZAWbZsGXfeeSdTp07NWZKDkZU1vPPOO5kxY2SF2soN/d6Kz7Hcazh98tAA59Zl/v3HEPdoamri2uvK97MeD32xrNv4x/MGbF+p+mQpKee/dTm3Dcq7fdm2RSLHVpNoOP2ynN//YIzXdsP4bXu5t7uyspLf/va33HHHHfzHf/wHLS0tnHfeeXz9618HoL6+no985CMIIbj00kv5+c9/zpNPPsm5557LunXrWL9+PeFwmGg0ykc/+lHuvvturrnmGv7whz/w8Y9/PJfHMm9eYZn7u+++my9/+cu5v83111/Pu9/9blzXxbIsOjo62LNnD0uWLGHZsmWj80cpwIQxUMLhMCtXHn1V6RkzZpSddV0s9HsbW461Tx4L5f73KPf2Qfm3sRjtG80+ORjl/Lcu57ZBebfvWI3eo+mX5fz+B2O8thvGb9vLMbwry6JFi/j2t78NwI4dO/jXf/1XvvnNb3Luuecyffr0vJDiWbNmcfjwYQ4ePIjrurlwMADf95k5cyagagfOnTt3yHsfPHiQT3/603n1CA3DoLW1lSuuuIKmpib+5V/+ha6uLi6//HI++9nPEgiMvrhLeX5yGo1Go9FoNBrNBGfRokVcddVV3H333Zx77rk0NzcjpcwZKYcOHWL16tXMmDGDYDDICy+8UNDwmjlzJnv37h3yfjNmzOCb3/wmK1asKLj/+uuv5/rrr2f//v1cd911LFiwgA996EMje5PHwOhXD9NoNBqNRqPRaCYhO3bs4Oc//3lOFOLQoUP8+c9/5pRTTgGgra2N//7v/8ZxHB5++GF27NjB+eefz7Rp0zjnnHP49re/TSwWw/d99u7dy0svvQTABz/4QX7+85+zefNmpJTs2bOHAwcO9Lv/hz/8YX7wgx/k9rW1tfHYY48B8MILL7Bt2zY8z6OyshLLssYkHBi0B0Wj0Wg0Go1GoxkVKisree211/jFL35Bd3c3VVVVvPvd7+aGG27gkUce4eSTT2bPnj2cffbZNDQ08KMf/Yi6ujoAvvOd7/C9732PSy+9lHg8zpw5c/jEJz4BwHvf+146Ojr43Oc+x+HDh5k9ezbf+c53mD17dt79//7v/x4pJR/72Mc4fPgwU6ZM4dJLL+XCCy+kpaWFr3zlKzQ3NxONRrn00ku5/PLLR/1vBJPYQKmurub666+nunriVXfW723yUO5/j3JvH5R/G8u9fUdDOb+Xcm4blHf7RqNt5fz+B2O8thvGb9vLvd3Tp0/nhz/84YD7hRB8+ctf5stf/nK/fVVVVdx0003cdNNNBc/98Ic/zIc//OF+29euXZv73TAM/uEf/oF/+Id/6HfcZZddlpM/HmsmTCV5jUaj0Wg0Go1mvHLvvfdyzz33cNddd411U8YcnYOi0Wg0Go1Go9FoygbtQdFoNBqNRqPRaDRlg/agaDQajUaj0Wg0mrJBGygajUaj0Wg0Go2mbNAGikaj0Wg0Go1GoykbtIGi0Wg0Go1Go9FoyoYJY6C4rsv+/ftxXXesm6LRALpPasoP3Sc15YjulxqNpi8TxkBpamriggsuoKmpaaybotEAuk9qyg/dJzXliO6XGk1x2LJlCw899NBYN6MoTBgDRaPRaDQajUajmaxs2bKFv/71r2PdjKJgjXUDNBqNRqPRaDSa8crmtoM8sn8LLakYDeFK3tN4IsvqZ434uslkki984Qu8/fbbWJbFggUL+OEPf8h9993Hb3/7WzzPo7Kykq9+9avU1dXxox/9iFgsxhVXXMEZZ5zBv//7v7Nu3Tq+//3v43ke9fX13HzzzcybN4+dO3fyxS9+kWQyie/7XHnllfzjP/4jzz//PD/4wQ9Ip9N4nscnP/lJ3ve+9xXhr3R0aANFo9FoNBqNRqM5Bja3HeSuHS9jCpOoFaTDTnLXjpf5MGeM2Eh55pln6OrqyoVtdXZ2sn79eh5++GHuvPNOgsEgTz31FDfeeCO/+93v+MxnPsOTTz7Jj370IwBaW1u54YYb+M1vfsNxxx3HPffcw+c//3nuuecefvvb33Leeefx6U9/OndtgKVLl/Lb3/4W0zRpaWnhqquu4txzz6WmpmZE7+Vo0QaKpmzYtb+D9W800xlLU1MZYuVJ01nQWDvWzZq06M9Do9FoNEfDZJw3Htm/BVOYhEz1SB0yLdKe2j5SA2XJkiXs3LmTm266iTPPPJN3vetdrF27lq1bt/KhD30IACklXV1dBc9/7bXXWLJkCccddxwAV199NTfddBOxWIwzzjiDW265BcdxOOusszj77LMBaGtr48Ybb2TPnj2YpklnZye7du3i1FNPHdF7OVp0DoqmLNi1v4O1L+4lnrQJB03iSZu1L+5l1/6OsW7apER/HhqNRqM5GibrvNGSihE0zLxtQcOkJRUb8bXnzJnDQw89xDnnnMPzzz/PFVdcgZSSq6++mvvvv5/777+fBx54gCeffLLg+VJKhBAF91188cXcddddzJ07lzvuuIN//dd/BeCrX/0qZ555Jg8++CD3338/M2bMIJ1Oj/i9HC3aQNGUBevfaMY0BQHLRAj10zQF699oHuumTUr056HRaDSao2GyzhsN4Ups38vbZvseDeHKEV+7qakJ0zS58MIL+eIXv0hbWxurV6/m/vvvz6neeZ7H5s2bAaisrKS7uzt3/mmnncaWLVvYsWMHAPfddx9Lly6lsrKSPXv2MHXqVK666io+/elP8/rrrwPQ3d3N7NmzEULw7LPPsmfPnhG/j2NBh3hpyoLOWJpwMH8FwjINOmOjb7Vr9OehOTrWHdrOGVPnEbGCY90UjUYzRkzWeeM9jSdy146XSXvKc2L7Hp70eE/jiSO+9rZt2/g//+f/AOD7Ptdddx1nnHEG//zP/8w//dM/4XkejuNwySWXsGzZMlatWsXPf/5zLr/8cs4880z+/d//ne985zt8/vOfx3Vd6uvr+e53vwvAww8/zIMPPkggEEAIwY033gjA5z73OW666SbuuOMOFi9ezOLFi0f8Po4FbaBoyoKayhDxpE3A6hncXM+npjI0hq2avOjPQzNc2lJx7nz7ZUBw3szjxro5Go1mjJis88ay+ll8mDNKouJ1/vnnc/755/fbfvnll3P55Zf3215VVcXvfve7vG3nnXce5513Xr9jP/nJT/LJT36y3/ZzzjmHRx55ZAStLg7aQNGUBStPms5f1u3EdnpWWoIBg/NXzhnDVk1eVp40nbUv7gU8LNPA9Xw8T7LypOm5Y8ZDMuR4aON450CiQ/2Mt49tQzQaTdEYztjZ95jG6ZW8uaOVweaNicqy+llFMUg0PegcFE1Z0NQSx3H8vG2O49PUEh+jFk1uFjTWsvqsuVREgqRsj4pIkNVnzc1NUOMhGXI8tHEi0JKKEbWCtKb1d1WjmQgMZ+wsdMybO1pZumjKgPOGRnM0aA+KZkzJrsDsa1JJXaYhcooTvvTZsOUwq06dPZZNnLQsaKwdcGLpnQwJZH56rH+jOc+IGUvvxXDaqBk5Hekk0yNVdKSTY90UjUZTBAqNnbbj8NDTuwgFTWoqQyTTbsHxdX9zjA9dPDY5C5qJhfagaMaM3iswWTxfIqUEQAC24+H7EtvxBriKZizojKWxzPzho3cyZDl4L4Zqo6Y4dNhJpoYriTn676rRTAT6jp1p2yORdHAcLzeet3Yk8TyZd54eXzXFRBsomjEjX5KwZ7vvq0HPMAT1NWG642k83x/gKpqxoKYyhOvlfya9kyHLQW5yqDZqikPMSVEfqiDu6gcTjWYi0HfsjCcdEGCaRs94bghiSSfvPD2+aoqJNlA0Y0bvVZpIL2lCCViWIBoJMn92NUfakhxuS4xRKzWFWHnSdDxP4rgeUqqfvZMhy8F7MVQbNcUh5tjUBCO40sf1tadToxnv9B07s8ZKNNyTFVARsfB9Pb5qSoc2UDRjRu9VmqrKENGQiUANghWRAHNnVtLVbfPAkzv44yPbSabdsW2wJsdQSfTl4L0Yqo2a4pBwbcKmRdi0SLjO0CdoNJqypu/YGQyYRMMW4VCPgWKaBlNqwnp8Hce8/vrrfO5znzvm81988UWuuuqqIrYoH50krxkz+krZRqMBaqtDnHzCVNK2zwubDuWMklDQ5MEn3uaMZTP0AFgmDJZEPxyZYs3EIOHZhMwAITNA0rOpJjzWTdJoNEWkqiJIImHjuPnj+flnzdHzcZnjui6WVfhRf/ny5bkikKOJ53mYpjnkcdpA0YwZCxprWY3KV0ikHKbUhpnRUMGbO9vYe6g7d1w4aDCjIUpXXCVar86cqylfen+2Y6XilU3UN02Rl6iv+0/xkFKSdB1CpkXYsEhqD4pGM+7pO3a6ng9CYAhByvZ0TakC+Ls2Idevgc4WqGlArLwYY8HJI77uT37yEzo7O3NV3tvb27nkkkt47LHH+OlPf8rLL7+M4ziccMIJfPWrX6WiooJ/+7d/o6Kigt27d9Pe3s6dd97JF77wBd5++20sy2LBggX88Ic/5MUXX+SWW27h3nvvBeCJJ57gxz/+Ma7rYhgG3/72t1myZAnr1q3j+9//Pp7nUV9fz80338y8efP6tfVPf/oT//Vf/wXA3Llzufnmm5kyZQr33nsvf/nLX6ivr2fHjh184xvf4MQTTxzyvWsDRVNShpKaXdBYy7xZNcSTNm+83crzGw/huCo0KBQwCQYEwaCFYRhaJrbMKfRZj6XcpJYZLj2u9AFJwDAJmtpA0WjGA0PNy4XHToiEA/y9lhDuh79rE3LtnWBaEI5CvAO59k781YzYSLnyyiv5m7/5G2644QYsy+LPf/4zq1ev5te//jVVVVX84Q9/AOC73/0uP/vZz/jsZz8LwKuvvspvfvMbotEojz76KF1dXTz00EMAdHZ29rvPrl27+Pd//3fuvPNO5s+fj23b2LZNa2srN9xwA7/5zW847rjjuOeee/j85z/PPffck3f+W2+9xfe+9z3uvfdepk2bxg9+8AO+9rWv8YMf/ACADRs2cP/99zN37txhv3edg6IpGcORmrUdj/3NXTz45E6e23gQx/UJBU3OW9GIaQkCgXw3oJYxLE/KQVa4L9lEfQE5lTjdf4pL0lXhXQBBwyLlaQNFoylnhjNWl4PIyXhCrl+jjJNASE02gRCYlto+QmbNmsWiRYt46qmnALjvvvu4+uqrWbt2LQ888ABXXHEFV1xxBWvXrmXv3r258y655BKi0SgAS5YsYefOndx00008/PDDBIPBfvd57rnnOO+885g/fz4AwWCQyspKXnvtNZYsWcJxxx0HwNVXX82WLVuIxWJ557/44oucf/75TJs2DYBrrrmG559/Prf/9NNPPyrjBLQHRVNCBlvBnj+7hnjS4ZU3mtm49TBeRlp4YWMNZy2fSThk8daedpIpO89I0TKG5Uk5eitqKkM4rks0HMD3fZJpT/efIpP0VHgXQNA0tYGi0ZQ5wxmraypDxJN27hjQc++gdLYoz0lvrKDaXgSuvPJK/vSnPzFnzhy6u7tZuXIlUkq+8pWvsGrVqoLnZI0TgDlz5vDQQw/xwgsvsG7dOm699VYefPDBvOOz9ef6IqXMFc8ejKGOq6ioGPIafdEeFE3JKLQKE7AMHNdj14FO/vDIW7zyZjOeL6mIBLjw7Hmcv3JOTilk2fFTCAQsImGLtO1qGcMyphxX3FaeNB2kIJZI5+Qwdf8pLinXJWSo72vAMEl5WmlPoylnhjNWa4n2o6SmAVw7f5trq+1F4OKLL+bll1/m5z//OVdeeSUAq1ev5pe//CWpVAqAWCzGjh07Cp7f1NSEaZpceOGFfPGLX6StrY2Ojo68Y84991zWrVvH7t27AbBtm1gsxmmnncaWLVty177vvvtYunQplZWVeeevWrWKp556iiNHjgDw+9//nne84x0jet/ag6IpGX1XYSzLACRdMYf7175N1mA/cUE9K5ZOz/OUCANOmFdHdUWQlzc3052wdWJeGVNOK26e75NKu9RWhVl2QgNbd7WTclwqIkHdf4pMynMIZtRYLMMkrT0oGk1ZM5yxuhxETsYTYuXFKgcFlOfEtcFzESsvLsr1I5EIF1xwAffeey+PP/44ANdddx233XYbH/zgBxFCIITg+uuvZ9GiRf3O37ZtW06ty/d9rrvuOqZPn54zRgDmz5/P1772NT772c/mVLa+/e1vs3jxYr7zne/w+c9/Htd1qa+v57vf/W6/exx//PF87nOf42Mf+xigvDY333zziN63kAP5dcYZ+/fv54ILLuDxxx+nsbFxrJszqckm4LV2JEk7HtGQSUXEIpZwiSV7VlhrqkKcc+pspk9Rrsh9zV1s29WO6/lUhC2WnzB1XA+IE71P9k60DAZMEgmbcNjKyVCmUi7RaBDbKZ3qS7YNXfE0DbURlh3XwJTaCH1HterKIKapHcbF7pOvte7nkf1buHzeybzQvIvaUIQr5p9ShJZqJhMTfawsJ3ordJVirB4qAX+4x4w3SqXiNZkpOw9KOp3mm9/8Js8//zyhUIhTTz2Vr33ta2PdLM0w6T34VUYDBB0T3/c50p7O5ZmACvVasXRazjjZf7iLN7a3YJoCKSVtXSktCVvGDCVDGbQMEALf90sm8btrfwdPvLSXSMikripMd0aG+qxTZjJnejUArR1JDhyOcdJxU2ioiw5xRc3RkvIcAkYmll3noGg0ZU9f70gxx+rhSLtPVPl3Y8HJoA2SolJ2Bsp3v/tdQqEQa9asQQhBS0txkow0ilKvXKx/oxnP90mkfAKWgWFALNHjNbFMQUU0AFLy5o425s2swbIEuw904fmSrA1TDknWmoEZSobynjXb8KUcNBGzb19snF7J/ubYsPvma9sOU1URxPMlsYSNBAwDNr3VQjLpsm13Oy0dSQA6utNcsfq4Uv05Ji1pz+0xUAyTRN84bI1GU9Z0JxwCllEUgZPhJOCrZwRJMu1imUZOuVPP9Zq+lJWBEo/H+dOf/sRTTz2VUwNoaChOkpFmdFYuWtoTOK5PJGSRTLu4Xo/XJBq2CIdM9dlKiev5RCMWoaBFc2uCcFBLCo8XOmPpQT+vofb37YvtXSn2N3dTEbGIhgND9s207dIdd/ClD6ixwnV9UrZHZ8zhcGsid2xNVYjTTpxWvDevyZFnoAiTtE6S12jKmr5jbyxu4ziqQnwoM2Yf69w71LgPyqvtZ4RxDAG265FIOvj+hMg20BSRsjJQ9u3bR21tLbfddhsvvvgiFRUV/H//3//HypUr847r6uqiq6srb1tTU9NoNnVcMhpSsKYpQJh0J/qHekTCGTnSgIFlGgQDJqGg2lZOSdbHwmTrk0N9XkPt79sX07aHEJC2fSoiYsC+aTseqbSL50lM0yCddPB8SNlKZSaLaQjmz65h8fw6ptVHqakaH/2omIxGn0z18aDoJHnNUEy2sbLc6Dv2mqaB5/vEk07OQDnWuXeocV9KSTRskbI9YnGbyoogAgFC5oWAazRQZgaK67rs27ePpUuX8oUvfIHXXnuNT37ykzz66KN5kma/+tWvuO2228awpeOT4axuDMRQoWG79newYUszyZSXN9BknCXqdyQV0SCu6xGLO7zrzBm541aeNJ21L+4FvFzi3niSNZxsfXKoz2vlSdNZ8+xuOmM2vi8xDEEoYHL+SrW/M5ZGIOmOOyq0z5cIwKOn7/Tum7bjkbZdXFftb+lIYhqCrnj+ir0h4Lh5taxcOiNn/E5WRqNP5uWgGIb2oGiGZLKNleVG3+eAaNiiO2Hjej4yE9lQaO4dTnj4ypOms+aZXXS5Nr5U43HQMnjXGXNI2y5p2yOedEjZHgJlsGR1moyhS21oJhllNYPPmjULy7K47LLLADjllFOoq6tj165dLF++PHfcRz7ykZwWdJampiauvfbaUW3veONYvRRDhYbt2t/O2hf30RnrH39uGoJIyKKmKkQ0bHGkPUllNMi7zpyVN7iNd1nDydYnh/V5SZmp4i5UEFYvaa2gZdDWmerZB0iUEZvFMGDGlAq642lcV2I7Hjv3d/LW7jZaO1N57bFMQXVliNNOnMrcGTWledPjjNHokynPIdirDorte0W7tmZiMtnGynKj73NAOGTh+T6OK0nZhVW8jio8XIjMWA6hoEllNEAq7ZHIKHjWVIURsRS24wNgGIJwwKSuOlLy964ZX5SVgVJfX89ZZ53Fs88+y7nnnsuuXbtobW1l3rx5ecdVV1dTXV09Rq0cvwy26l1odQTUA+jBIzEAqqJBhJUfflMRCfLQ07tJ2+rBJM9jIiASMomETM5cPoP5s2sHbd+CxtpxY5D0ZSL0yaMVUBjs81r/RjOeVG57KUEK8KTsCdnKVpwVaiIzDJHxoggsU2AYAtv2mDurkkNH4ry1u52d+zuVWliG2uoQi+fVs2hObS40QdPDaPTJtOdSYakFDmWgaA+KZnAmwlhZrgzby1HAu33pOxcMOp4XCg9/+pX9efdLpl0iYZOpdREMQ5B2PBJJmw1bDvPecxcAqgDz8xsPEgwYhIMmpilw3fETLaEZPcrKQAG46aabuPHGG7nllluwLIvvfOc7ejArEgOtegP9VkfWPLMLhCAcMjMGh6Q7bgNBQkGToGXQ3pXizr+8mTNIQkETyxTEky7hkEUoaOK4HrGk268uhaa8KLaAQlNLDMft+dClVPklTS3K2LUdj6qKIImUi+dLTENQXREAwHF9DMOgribMhjeP0NbLW2KaggWzazhhXj3T6iM5MQ3N2KCS5FV9GVWoUXtQNJqx4KjG8EG824UoFB7ueT7tcYc6KQkHTZJph2TKo6YqiOP6pB01FhiGkQshO3g4xu6DXaRtD9eTJFJJZk2r4LwVM8ft4uRYcdddd5FOp/noRz961OdeccUV3H333YTD4UGP+8QnPsF//Md/MHfu3GNs5cgoOwNlzpw5/PrXvx7rZkxYCq1637NmW7/VkS7XxvWUFGDP2CWJJx0Eks54j+qGISASNgmHAiRTDrVVQVzPJ5lyqKsO47haLrjcKbaAQm/1tkLbaypDtHelEAJCQYNoyMJ2PeIJNyc13dQSz51XVx3ihPn1LGrU3pJyQhkoPSFejg7x0mjGhOGO4evfaCYctqjqFeo91BytxuskadvPLSh5nq/Cs0JWrpZKIhmn6UgcwxB4vsQQKgnfMAS/e3grjuvnXTcUNDF18skx8eEPf3jAfdlK8ANx//33D+sed9xxx1G3q5iUnYGiGX0KrY5kHyR7L6xkx5H27p5ck1AgU51bQjhoYjsqCc73oaoiCGi54PHASAQUCjLQglxm+9wZlbR1pohGAji2S1tXuuAiXn1NiFWnzGZqnfaWlCO239uDYugQL41mjBjuGH4sY72qUdWNyITker4kEDCpjgYImAYp28NxfXzPx5fgZ54fPAme32OUCFRobjzpEAoYTKmN0J2YGIUaS1Vj7ic/+QmdnZ3ceOONALS3t3PJJZdw1VVXAfCFL3yBe++9l7/85S/U19ezY8cOvvGNb7B3715uvfVWwuEwl1xyCbfeeisbNmygoqKCxYsX535fvXo1V1xxBc899xxHjhzhYx/7GH/3d38HwOrVq7n99ts54YQTaG5u5utf/zq7d+8G4LLLLuN//a//xYMPPsh///d/4zhOrj2rVq0a8fsGbaBoKJw835egZeB4fm4FxBDKAAlkJYODJqYQJFLqAaWqIjhiyULN6FFsmedgxlhFkkuYNAxBRcTCdjyaWxMIIensLmyYZHOZuhMO0+p1BfhypW8dFO1B0WjGhuGO4ccy1u9vjlERCeC6fiaEzCLteHTFbXyUGpft+KScwitTwYDBiqUzmD+rmide3ofv+1iWCUJ5fKQc31EWpawxd+WVV/I3f/M33HDDDViWxZ///GdWr15NNBolkeip97Vhwwbuv/9+5s6dS2trKx/96Ee5++67mT9/Pr/85S8HvUcqleLuu+9m//79vP/97+fKK6+koqIi75jPf/7znH/++fz4xz8GoK2tDYBzzz2Xyy67DCEEO3fu5KMf/Sjr1q0b0XvOog2UCUwhi76pJc6GLYexHQ9DCCQS6auHyFDQoKYylJeIbAgwDQO7l2s2EjaJhFSBxXAmz6SjK83Hrz4590U1DAaVLNSUF4UEFFIpF8Mw+M8/biq4IvT8xgO5vhQMmCyYXU086dIZSxO0DGzbwwoILMMgEFAFOk1D8J9/2ETKHvhB1hAqNtqXEsfx+f0j26iKBll2/BTmTB9ePpoQ6p9pGpiZpHtN8XF8j4BQDzqGECDB9T0sQ4fhaTTFZKgV+uFK9Q8lAV+IZNqlusIilfZJpF264mkMIO1K0h2pgucELINgwMB1XNKOz/OvHWT9m00goSqTb5hlvEdZlLLG3KxZs1i0aBFPPfUUF1xwAffddx833ngjzz//fN5xp59+ei5XZOPGjSxdupT58+cDcPXVV/Otb31rwHtceumlADQ2NlJdXU1TUxOLFi3K7Y/H47z66qv84he/yG2rr68HVP3Cz33uczQ3N2NZFi0tLRw5coSpU6eO6H2DNlAmLIUs+r+s24nj+AgDkEpVKUu2SF57V4oZDZV0dKUxM4Oc4+XHjUZDFlWVQaQPqbRL2vFyqy/jXS54stL3c8vGFPu+X3BF6PmNB3hh0yGEUAaF7Xhs3dVONGxSVx3O5Za4npKuTCYd3IyiV29U/pJFPNkTGiSEUPr4mdehgEEyZfPCa4fgFHJGStYIMQyhDBGhDJHsPx0SVnrsXh4UIUQuD0UbKBpN8RjOCv1Rzb3DSJKXUuK4Po7rETAFR9pSucXLwVLqgwFBRSSIYQjicZt0Zmg3BLiuj5QQSzi5EHAY/1EWRQ+R7sOVV17Jn/70J+bMmUN3dzcrV67sZ6D09nhIKY9q/guFev72pmniHYXYyb/8y7/wb//2b1x44YX4vs8pp5xCOl2c960NlAlKIYvedlSnMYWBS77RkR2fHFcVzbPMfK9JlspoAM+XtHelCQXMgqs041kueDLT+3O7Z802fCkHXBHasOUwZsYwsMxMDoJlKOEEIZRXLZbGHSAlQdAzyYWCJrbr4TjZvCd1jYApiIYtouEApqE8KvsOdbNkwRRllGgjZMyx+xgj2VoouqKBRlM8hrtCP5y5t5AEvBSwcesR5s2qwXE8HM9XhRszi5CdMbvfQmWWQMAgFDAJBAzSaY+U7eL7PkIYpJyekPCsMeRJiefJnJHkuN64j7Iodoh0Xy6++GK+/e1v8/Of/7xfDaFCnHrqqXzpS19iz549zJs3j3vvvXdE96+oqOC0007jl7/8JR//+McBFeJVX19Pd3c3jY2NAPzhD3/AtvvXwztWtIEyQSlk0Q+HgGVw8Eis34JKOGgSClmkbRcQJNMeTsBnSm1Ee0gmIH37j2kIrJBFMu3gej6RkEU2wcTzlZckkXLI2BbE4nZOjasvhgAEKrRQQtrxmVpXQVXU4nBbMqcOFzAFkUgAXyrpYc/z6YzZBAN6db5cUAaKkXttGQa2riav0RSVYq7QN7fG8H0V1mWaBoHMwlJbZ4Ku7jQSSKQc9h7qYveBLppa4oN6TKp7eULCIRPfl0TCQboTNgHLwDQEgYCBaSg1L5kxUOprInR0p4iGg+P+GWK44XXHSiQS4YILLuDee+/l8ccfH/L4hoYGvvrVr3LddddRV1fH6tWrCQQCRCLHvnT0ve99j5tuuonLLrsMwzC47LLLuO666/jiF7/Ipz71KaZPn86ZZ55JbW3tMd+jL9pAmaAMJ/G9N6ap4sd7ywAKAdPqo7kVlUTCBiGoqQwRDHhURIJ86OLFpXoLmjFkWn2EVNolYKncEdf1Sbse0XCQ7phNIu3gOL7KO0AZKVm6YvkrKL29JaBW0gwBwaBBJGzxP967BCszUWY9Ives2UY8aeeqDQM44zwMYKLhSR9f+liix0DR1eQ1muIz0hV631ceE9/3iYaDuQdo2+lZWAJ4Y0cruw920tyaKHidbCqfECJvzBeAYQqkD7OmVnLROfMwDYO7HtpC2lYeEtt28aXE830Clsn7333cMf0typHRCG3/xje+wTe+8Y3c6//9v/937verrroqp+qV5Z3vfCfvfe97AfjjH//I8uXLMTKLSdu2bcsdt3bt2rzzer/u/fv06dP56U9/2q9dH/jAB/jABz6Qe/3Zz372aN7WoGgDZYLS26L3PD8vxt/t46oNWEaeYRIKmgQsAINgQNDW6eD7PiCojFik0i6JlEt7V5p71mwb96sfkw3fl/hSIrM/Ibeqld23cE4tL752CCFsDMPA83w8H5af0gDA0oVT2Lj1SF4eUyGy6l2eLxFChSYEAwamaeA4qm9Gw4F+5608aTprntlFl6s8MYZQSnLnr5xTgr+I5lhwPI+AYeaF2elq8hpN8TmaFfrsGO55yhhwXB/p9eT0dXQP7HV58fVDud+DlsGcmdXMn1XN06/sw3ZlzisukAQDBgHLJBqysCwDx/WwHZ+Z0yr469O7ae9WyfOJlIth9CxUSQmnnzitOH+YMqLcQtt//etf89e//hXP86ipqeHrX//6WDfpqNEGygQla9E//cp+2uMOhiGoqQySdjxSabXCGTANvEwiXBbDgCk1YUxTrZqDcv8KIaiIqAfJWMJBooo1FVNOT1Ma0raH5/tqFS0TVzy4WQGzp1ZxxnLJ5u2tdCfsPBWttO0SDJiEg2aeGpcQEA5ZSCCVkZs2DIFlqmJeWUM4bXs4rtJMb6gdpJKtEDnjSWYz4jVlg6qB0ifsxDBwdDV5jaao9F6hT6QcaqvCnLJkKrOnVZFKO3g5D4mEIcZ3yxK47kBywCbzZlYxb1YNs6ZVYGZW3CsiAdy4kzNKTEPguD6hgIEwBK2dKWoqQyyaU83m7S25ZH7X8wkFzcwClyQYMDn9xGmsOnV28f9Imjz+6Z/+iX/6p38a62aMCG2gTGAWNNay/o1m6nolO4dDFhURtdLRHXfyjjcETK+PIISkO+7w7jPnsqCxNk9BpDuujBOBoDIaLKqcnqY02I474IQ0GHOmV+cUs6SUvP72EZ7ZcCBn4GZpqI1wwvw6Fs6uIZDJD3l1azNv7mglHLIwgERahRIAmeR6ge9JOmN2QRnj9W80Ew6ZeUovQ1U71owutu/1N1CEDvHSaEpBdoU+lXZIpT2khHjCGfpEVA7L7gOd7DnYNeBcEAoYmJagO+GAkDnjRBhQWRlCShVm6zguCU954CPhCB98T0+Y9z1rtuH5kkTKzVWcDwVNptVHdTi45qjRBsoEp29yne/7dHbbuUrxWcIhi1DQpDvuUlcT5t1nziooX9jelcY0lHGSLcQ43jXMNQOTsl127O1g844WEsn80B3LMjh96TROWtjQ77yzTp5JVTTIq1sP051UMc6hgIGfSarPxjJ7XmEZ41LLNmpGju25/eSEVTV5baBoNKXClwVVgfvR0ZVi98Eudh/spL0rf9y0TKWK6PtgGmpxMhxSSfPJlM36zc2EAibzZ9cQDJjE4jYSsB0/Z3hEKwKqGG8vWjuSpNIuwlB5hr6UJJJOTvhEozkaSmqgtLa25lW6BJgzR8eQjybZ5LpgwCSWcIj1WXEJWoKKaBDH8emKqaredTUq7KZQYSigpHJ6mrFHSklza4Jtu9vYc7ArLxky67rPuu33HuzOM1AsSxAOBQhYmRo6mfBBkVHuqq9WfautM4Uw1CqdEKKfJ67Uso2akaM8KEbeNksYOgdFoxkDpFTy/7sPdrL7YBedfXJNomGLebOqmT+rhmlTogjXRgRCPPzMLpIpNdYGAmpsd12PDW82s+mtFjpjadK2R8AS1Nf0hOQ6rhLK6Y3nZ3IaMzkvAvU/TxsommOgJAbKunXr+NKXvkRLS4uqaZBBCMGWLVtKcUvNAKxYOo0nXtrL4e40fibVxDAEvi+pCFsEgybxpJOnlhRP2qx5djdISThs5a1wL100hTd3tFIqOT3N2JFKu7y9t4O39rTR2UuJK2AZSCAaNvMMBtM06E6o45RhYuX29y3k6EtVCLSjW8Uqu56PEGrSzNLbQ1Jq2UbNyLE9F0v09aCY2DoHRaMZFaSUtHam2HOwk90HuuiK5ysoVkQCzJ9VzbxZNUyrj+QELaTrQDoBgRDxlENNNEgwaOF6KkcwkbTpijvUVYcIB5V0cDypFjej4cCA47Hv+3neHZn5n+8XrqGi0QxGSQyUm2++mU996lNceeWVhMODJMFqSkp3PM1r247QGevxmlRXBDnz5Om8uuUIadsjlnAyyfCKrNJSZ8xGAFV9CkPtb46x+qy5ulL8BEFKSVNLnLf2tLP7YFeeK35qXYQT5tezYHYNj72wh2Qqf/KTvmR6XZSKaKBfbZINWw5njBO1wm4K8Hwf2/FJ2R7BgEkgY9Rk6e0hGQ3ZRs3IKJyDYuBoD4pGUzKklBxpT7D7QBd7DnaqnJFeVEUDzJtVw/zZ1TTURvoVs5W+C8kuQGJagplTKuiMpXCSPdeJJ10Mo6cwZFYgx3HV+D3QeKxkbL2cYlf2p9HH06rRDIeSGChdXV1cc801uspzCXlo3Q627W7PrVZEw0rqr9p0WJHeTIdr8Zx7HA5qgGmcXsU7Tp1FVzzFzn1dpNMesWSBBDupwm98TyKM/M9P5wBMHFJpl+0Zb0lXH2/Jojm1LJ5fR31NT1GnZcdP4akX9uLINAJBOGwSDARobovzk7te7afOYjueKuKInzdRZamqCNIVS5NMq8KMhqEKh52/smdFrtxkGzX59C3SCGAaBo7OQdFoio6Ukpdeb+K1bYf7hWorb3SAkxpcFh9+GrGlHfbXIZe9E9G4uNc1fEjEaDvYhLt9I2+ETyQeqKG9M0nfQvHRsEVbZ6on5yRsYQRNPn71yQO20TRE3lif/ek4XkExFI1mMEpioFx99dX88Y9/5IMf/GApLj/peWjdDrbuas/blki5RCyBbaZ42FmK7SvjIizTnLkoysLlc2ntSPLqlsO4rk80YuH6fp4ikxBqgMnWxui75uF6PsGAmVP0CgdNYkmbtS/sYfXZWma43JFScqglzlu729lzsAtf5ntLFs+vZ/7sGgJW/9Wulj17cXyfUNAiHLawbY+u7hQSgWmoeOQXNikN/VWnzsY0RJ4QQ2/jJBw0SaRcHEeFeQmhJrVhZX5qygbbd/OKNEI2B0UbKBpNsenoSvPsqwdyrysiKkk9FDAIBAy8tM0be+NUEWB2KALJbuQLD+CffTlG42IkEiMVp/vAbmY+9xvCfhKnzubpyNn9jBNQzxSm2ZPs3h23qa8dvBJ5NBIgmervQRVCFBRD0WgGo2gGyt/+7d/2xDdKya9//WvuuOMOGhryFX7uvPPOYt1yUrJrf0c/4wRUcUUJHE4HyaSmESbNGWxhwRFJRWQ5T63fRzzpkLZ7lDgqoxaptJerdZJ9RhRCFXyy2w5jeTauGcQLVRIMqxopActESklASBwhtfxrGbJrfwevbj1MLG5naqEo+ccswYy35IT59dTXhHl1azN3r9mK4/gEAgYnLZrCaUuUR2Nbs0d1RRCBJBVPkvaNjA9fIoSJAHx8Nmw5zKpTZxONBDKeGUnvbEkjY5CkbQ9hqBX3bOKllhEeX9ieV0DFy8T2dIiXRlNsaqtDnL+ykWTaZfa0Sp5/7RBdsTQp2yOecjGlSwCDzWIBs8XrYKkEdrl+Df72DQSFSzjeQqh5L0FpkzLC7K5eRjqev6DQ2wPieb1ziBl6EUnKTGivegbJJsdLZEExFI1mMIpmoHzoQx8a9LVm5GTrkfQmGDAIWgbxlJsZO7LDi0/Y8Hgrspwp9iamhCyaWuKkHQ+BWrH2Mw+svg81lQESKS9nuFSYEieVpEIm6DIqqfZjrIhv4Al5HqGKCNL3IbNSaplCh36VGbv2d/D4C3tIOyrpsTdT6yMsnqdyS6yMt+TVrc1s3Hokl9Tuun7u9YqTZhAIh7DTdl6+Ut+4LQE9spOOTVQmSBJWRRYlgAeZpGrPlwjy1V10COH4wtEeFI1m1BBCsOKkGSRSDum0R0dXKrfQYwjwfUiKILJX7IMwLII4hMwU5pF90NFMEEgYUZ6YdSXdoSnIWL7S6kAmiJTkEuUHwnZ9qip6niUgu1zaEy6ux3nNcCmagXLllVfmfn/ttdc45ZRT+h2zadOmYt1uUpGV+z14OJYrpp2tzp12PGK5+hQys4LhEwkYRMMh2lMGDzonM2vNNlxPZqqIK6UNkVnVFkIpMtXXBHL3tNsOU02CqwPrexriOlR7ncQTkkC6m7DTzcmpN6jzO3hl3gdG6a+hGQ7r32jG82XOOFHiBwZVFSEuO29Rv+Pf2NGKAAzpgVQ5IcFwiH1N3bzrjLmk40lsaYAwkNnJJuMZcT0/JyeZTZavdtppJ4QlPDyMnJFiejbySBumUY2HhWn1TFxaRnh8YfterphbFsswiTmpMWqRRjN58KRaiBQZ1TwBCAmeEAgrQCAUJNR5CMsUcHgPdB4BIG5EeaD6Uo6kqpHJxMA3gH7J7kOpBWfl4bPPEiqHxcc09DivOXpKIq3wD//wDwW3f/zjHy/F7SY0Wa9JPGnjZ9ynFZFArq6J4/QOHhWYwqcyEqIiCIdjAtv28FGxn47rI6VUnhahVkSklFhCuXId10NK9dPzYYWxq+fSVhCqprAivQk/3sVx8Td5X9fDLErvoN5p5ZRQ82j/aTSD0BlLEw1bVFUEqK8JUVcdojIaIGUXDr9xHB8hXZCSUMhU4VzSpa0jhRCCBVMDSAyk7GWcANmVMYnqTwtmq8rzjc5+EiKMh4HIGM4SA0O6SMMgKG2k9AkKv6fPDSAjLHVuSlnieF5/D4ou1KjRjAqG64D0kWqERSIIWAa1UYvKgKQifhjLS0OiK2ecYFi8VH0Wh42GYaX89U12H2osXnnS9LxniVDQVEV6g8aQ47xG05eiJskrDWyZ9y/L3r17MU1zkLM1hVj/RjOmKQgGTCqjAQxDEIs7/QofhQKqVkVFOIpld9ORMJDCAMPCMo1M7KeP8phIZOYnUmL4PqvPOi5P0vX05A7mpw+CGYJQFIQBnYeZ393G38rtBH3lok2LIN0VM5kW3z3afxrNIGRXsqorghiGIJFycV2Pqmiw4PEBHIxAgGhYFWCMJWxcDwJCGcBxs4qQ1Y3t+cpIybpMMgihwg3jGW/e/kAjUS+JLYJ4GFjSw5BpECZpgtQZCZb7u9jvzaLLDg6o7iKdNKSTUJm/XTP2pP0CleR1oUaNZlSodVrpElEcEURYASpCgqC0icTbsNxDMGMeHNoF8U51gmlB9RS2iQUgfARmwXAuIXpSTXp7UMjkDw5GX3n4uuowy49vYH9zTMvFa46aohooS5cuzXXgpUuX5u0zDINPfvKTxbzdpKAzlqYqahEMWCSSLp3dPZKwpiEIBk3OmePTeHgD7bbJ2sQSumUINzOOCAnhgElbZwoyD5YCiYF68JRCYEi3n6SrvyuNfGonBMPgOtDWDKkYIMk94oaihKLVhCpC0N02Kn8PzfDIFjp0XJ9gwMDNeMWWHT+l4PErwk28YS4glrTxvcyqnBCc5m0FVqnJpaZHU/9IexLpS6UMI31MJCFh5WKLuwJ1mF53r9kNQtggAvyD9ZTa4MQ5q/N5SNeA34BwLgZqAZC+B8kY2CnQGvpliSrUmP/ZBHShRo2mJPi7NiFfeQTPM/EIsCyV5MXomVSHPCKmTTzlk3JhVeIVjH/6OvKFB5FvZUK0TQuqpoDvYZsB1FNAvoAJwLT6CK7n096ZVkqeZo9ssMzkpw6FlofXFIuiGiiPP/44Ukr+5//8n/zmN7/JbRdCUF9fr4s2HgPTM0WUjrTH8qq9CwENdRFOnpJm7t6niGLTblfhea7KERA9H20i6WCYmVVvKfGFSpO38AjKNHWm3e++Yv5ypOfCK4+o+FW3T3KcEBAIqYdH14Hqwg++mrEhu5L16tbDJJIOkXCQZcdPYc706rzjDAPCoQBnBfdAZxeviuNxsQjicprczllVLUCPRyZXST7nIZUIIfElxFJeri8FI2Ha0iDwEFLiC4OYqKJOxNT5qQR0t6uk+XAU4h3ItXfiXyAQs46HZDf4nhJjsJOImqmj9JfTDBfb96gOBPK2WboOikZTdPxdm5Br71Sh1tWzoKuTOVacCmMzr3sLaU2FqPZjvCO1kfnhBPLpPyI3PKJOrpsBgbDypNRNRyR7Krz3CJ2opNRsEUYj83tW/dE0BKGIRV21fobTjB5FNVBmz1ZF2p544oliXnZS4no+yZRDwBIcbk3mtluZcK93nDaLOdOrCT3zW0JuNwCvyFMICY9KmSItQnTLSE+tC9dHCCOz4i0xpU+lH8czLFYuzZeClq6DjHfB7s3QtAuysqFCqHCvdKY9qTggwPPAl/i7NmEsGLiIk2Z0ya5kdcfTuG6+M18ICIVMwkELIQT+qas5a+2dnGW+pSZB1wbPRay8FujxyICHZRogPcDAQCKkzMVBi+5WvP/8AgQvQVKFMC01B/oS6XsI14X2/Si1BgmWAS0HwQxARRVy3R+QjqOMlimzYP826GpBvv/TiONPH+0/oWYQbN/tV6jREqY2UDSao8TftQm5fg10tkBNA2LlxXlzqVy/Rs273R0IP0AYSUikqWnbyAK5oedCwTC4wR7jpKER8d6PI6wAGCZEqxG/3ZiLpgByRoqJlyvCmM19raoIYJkGrufr3BHNqFOSQo033HBDwe3BYJAZM2Zw4YUXsmTJklLcetzj+5KU7XKkLcFzGw9y6EgcyDgsAiZ1VSGWn9DAvFk1RMMBjOa3IRgCIeiSUUI4IAQhNwHYdBo1ABjSp9KPAYK4iOAKiwqZZIWzhfn1783dX6YTyEM7kU/+DtoO9WpZVj4sqIwUzwPTzHhWfHBTagV8NdpIKXMCAYNwSOUmZTEWnIy/mgEnyb6xxUJKon4CRwTwhIkpPSpkApsAhKPYrkEV3SSpwpOqmGOFF8cWgZ6MelD9KBhRBomdgo4jEK2GriPQnBVpEBAonDujGTsc38MSfeug6BwUjeZoyHlHTCvfm9x7Lj28F9JKcSuc7kCk4z0Lh1kLI1P3hESX+hkIQjKGbNqFWHAyRKsQhokvhYr97pVDiJBqe4a+473OHdGMBSUxUCorK7n//vtZvXo1M2fO5NChQzzxxBNceuml7NixgzvuuIObbrqJD3zgA6W4/bhESknadkmkXN7Y3sqGrc25IkkLZtdw1skziYTUxxUMGkRCKmHeq6qDeAcEQlSLBHEZJiAdpcaEjSldBFDnd+TuZZgmFaKLqyMbwUkj16/BEwZsXAt7t6jV8yxmJoRD+moFxjChfiY07VEelCkz8t/H+jWgDZSyxMxIU2elgPtiLDh50M+ud2zx7//rQeKEqZTx3H4Hiwo/Bi0Hqa7qJC6i1NktSmBB+jjCosJyYVojHN6nrO5IlTJQutvAzWjjJzp7bhquQFx6HWL+shG/f01xsb0CHhRDe1A0mqNBrl+jjJNARno3EAI7jXzoDrxQFGoawO6JohC9x8fs8epKapEH1CJiRY2K4d3zBix7Zy5/MCg8HGlgiJ6QcV+KnCBKFp1LohlrSmKg7N69m5/97GesWLEit+3VV1/lRz/6Eb/4xS9Yt24d3/zmN7WBQtYw8UjZLq3tKZ599QAtHWowioYtVp0yi7kzVd6AEBAJW4SCPR+bWHmxWn0BVhg7eEIuAwwsJC4WIWkjUQ+PFi4uFh6CFWKnukAoCqkkPPIriLXTr0yT9CFSqXIFrIAySjqPQKobquvzj7WCavVdU1YIBJGwSShoDqnCMlxW2K/zROgskL36lTBZkdoIhsGK5Ks8ET0XpKFCBFyBh8EKdwuYqH4Xiqj+lOhS/aw3oQiEK8F1EXU6rKAcsX2vQIiXlhnWaI6KzhblOcmSTma8IFIZJ/GOISq4Z/Y5vYofVtSqeTsQhMP78sb90+cFeWG3hy9Rip5SIBGcPk97qTXlRUkMlEKFGpctW5Yr1PjOd76T5mZdNyNtu6RsD9v22LTtCJu2H8mNQ0sW1LNi6fTcardpCqKRQF5YDuSH5szv3Mu7K8K8EjmVrrZOqr0uzks9B8Ar4dPoMquo9rpYYbzNfKNFrVzbSWjdn6sKD+RWvDEtFW4TjCjPSVsz4ENFo3rdN5TDtdWAqikrohHlbSsm8/1DvDv+NK9ETqPLyPSr1EbmO/vACjLf2deznzqq6WBFYiPzxRGoXagUujpb6GcQC0P1IdNS/amqrqjt1hSPgUK8HK3ipdEMn6wRkvWExDMhWmagR4xmIIShjJfeUQ/CVOOm9KGrtd8YuupdK+DJV9iwx8aWJkHhcfq8oNqu0ZQRJTFQTjzxRG699VY+85nPEAqFSKfT/PjHP87lnezfv5+amppS3LpsyFZ/LxS/6TgeSdvFcyXNrXGeffVgTp61WiRZ5bzG9EMgprwTGhcTaNlFePPjiCP78IIZFQ07lZ8nkAnNmf/8A8zf8MtcvGqW+c6+nhfWdKisV+pcfY5DmGrVJRhWOSZ2GmJdUNcAlVWI1dcqoygbNwt9kqovLvafUnOM9E689AokXvZlsD7bD8Nkvn2A+V37+u/LTJbznX29+p2hVgmDUTiyX03IhYhUKuPXdcBXRrK/5udghRCnrdb5TWWEU8CDEhAmjtQGikYzXHpHQai51AEkeD4cOaAWa3rktnp+F0ZGRbOXcRIIqUXF5j1qezDEnuVX88qabXnj+qp3rWDVqL5LjeboKYmB8u1vf5vPf/7zrFixgpqaGjo7O1m2bBnf/e53Aejo6OArX/lKKW5dFmQVMExTEA6qKu7r1qsHtYa6CK4rsR2PV95sZusuVT9ECFjmvc3JYg9m0ISkAxseIZxsIfjGE2qVRIiexPVM7knvZDrv+QfghQfVcXkDWgbDgEiNknht7+vBEsogiVSrQS4Vg0QMDKH+VdTmPeAOlVStGVuGlXjZi0J9du2Le1kNhY2UihrlBSnUz/oSCGfU3+LQFeuz01DnGxaYhppchYCqeiWL6aZV3090aRGGMsP2PQJ9CjUaQiClxPN9TF2/RqMZkn5zqWWBY4ORMUJ8l5wmsBDKMyJMNfR6vaIYwhUqNDbWDr4Ew2S3MYsn3vawQvbwxnWNpowoiYHS2NjI7373Ow4dOsThw4eZOnUqs2bNyu1fvnx5KW5bNmSrvwcsE0NAJBzE83xe2tzEe1bNZ19TN8+9doBEpur2lNowqxIvUe83qxUUIbCsMNFkC+bTdyvDoaIGEt0Z4wP1e71KUM8lpm94VO3PPjT0DtuKVCqXcaI7PzQrGFEPj0hlwKTiEMsUXRQGeJlzCzBUUrVm7CiceJnKS7zsbVD27rMAActE2glefuJl5qYfK2yAGobqb6LPKl7Wo5ZVfLNTPX0qd64JoTBEa3raaRgQrsS47J/w//B/VD81zbwwBy3CUD6oEK98I0QIoYo1+h4RbaBoNMeIVAqHuOSpbfUu8d57fq+sVRu72pQBM30eAK84yzDTMQIVKsdFje8e699o1gaKpuwp6QwSDAapr6/H8zz27dvHvn0FwkEmIJ2xNJZpYBhKNcl2PBIpl/auFE+t38djL+whkXQxTcHKk2Zw2XmLqI8fUAaEaREKGFR27cXsblH1JqSvHvAcWz0MInpWTnonptupzH56FLcMUz0Euk5mZaWXcWIGVChXdb1afenuyNQ4yQyI2cTlQLBnBX7XplH4C2pGTGdLj+wkKK9ZoluF7PX2qGQ+z2yfzSLTSaxEG11esODx2Cnl5TAsFYoFPZ67bJ8zDBXK5aTy21Y7PSM1jOp/WbUZOw3Ne1RCZ+eR/PaDFmEoM1SIV39FOGWgaKlhjWY45Lzd8Q411jrZxR5Z4GfWq5IxToShiiR7nprf+4iNdIlKLC+/ELNlGrmQco2mnCmJB2XdunV86Utf4siRI3nbhRBs2bKlFLcsK3JVtwMmruuTtj2SKZUQv3O/kgic2VDBO06bRXWFWhn2quowfJdo2CRwaHvPQ11uhTKjXZ4dgMzMR9c7MT0YVkoewlTHhyuVIdNXlhADolXq+FQMDmxXK9QCMIPQMFMlxGcfMgp5azTlTd/Ey6w2vhUo6JHoVyk+0YmLRbWRLOzByF6/PqOw1dYECFWTx04V6HMZrKAKTzQDKuSr47CaYEH13Wxf7tt+0CIMZYZbwIMCykDRUsMazfDo5+0WYgDVrl4hXqAWh6rqVKhtLxni3lTLGHEzSu+lHtfzqakcJPFeoykTSuJBufnmm/nUpz7Fxo0b2bp1a+7fZDBOQFXd9jyJ63o4rkdXzCaZ9pASggGDc06bzcXnzM8ZJwCB01dTSZxAV5MabLIDVLRK/cy+llL9i1apB7reiemnX5Spzh1QsajJbvUQ2JtQFGqmqNCZzsOZavAoQ8ZzVdhN9vVg3hpNWSNWXqw+NyeTw+E5akdFdc9BvT7PbJ91XA8pJY4rlWxwVo66z/G567uOyjGJVquJM96ZL3eZJRhRhkikUq3+ebYymtIJ1b4+fblf+/v2dc2Y4kkfX0qMArLVlmFiayUvjWZ49PV295VcB5Rx0mtfMJLJQ+3sb5wYZm7MXOFvxQtV9hrXPV0RXjNuKIkHpauri2uuuaZoNRfGGwsaa3m3lKx75QBtnT3hLfNmVXP2yTOJhgN5x0fCJqHjTkRarlpN6WgBBFTVKkMjEFLhV0JCtiaEneqXuG6uuhzPseG1tT2GB6jBLxBSq9uuqwa1rAEiPXWvrKRhOgVVqBWdrAelkLdGU9b0S7wMhFUfCEV6Dur1efatHFxt+azwNjLf6Cx4vLHgZLwLBLzyKDTt6q8GlyVcoYxiz+nJoYpWqXZEq5XhkUr0y3HRIgzljeOpBPlCY3xA6GryGs2wKeQt7o1hqjDa7CJlqEKNnd2t+bl/oNQ566blxswFKy/ECMzVFeE145KSGChXX301f/zjH/ngBz9YisuPC1yfnHESCVmcfcpM5s/Kl1Y2TEE0HCBgKUeWyCSd52JSjd4a51I91KWTKizLdSCdQDbtxkcgX3tSSQvGO8jFrM5cBJ2tqtq7aalq3bGOjBfGzygnmWpQC0eVUdPVph4ao1XqeCjsrdGUPb1FDHJ9ykkPKAvdu3KwOv4xwOo53kmD7+P97ltq0nRUzkhBFa9wpeqvTlr1o2zIT2VtT582TcRFnxjQ6NAiDOWLPUD+CWQ8KDrES6MZFmLlxcg1P1dzb9/vjRno8X6DkmmPVCrjxHNhydlqzh9kEWcBWrFLMz4pWaHGX//619xxxx00NOSvuN95552luGXZUVcVYkptmKl1UU4/cTqhYP5kHgwaREKFC+jlrR63HFDekkil8mh0t2YOytSK2LgWaVoqXKZ34tyyd6qB79n7VCgXqNCvqnrljcFXx1XU9FSxNS2YMkvdq7MF6meq7QW8NZrxxdF6JHLHb3hMeT4q61Wsc6IzE1bQK/G9aoqaJH1P9Z1gAcMkizALekw04wvH9wgUyD8BCBgGjvagaDRHgegRDskSCOWHywajKqyrvVkJ1xx3Ohx6e9hS8hrNeKMkBsqHPvQhPvShD5Xi0uOGqfVRPnLFMrpiaTyvZ9QRAiJhi1Bw8D99dvXYu+e7akBKJ3upIQn1EGgF1MNi75jVSCVEKyEVR9Q0wEnv6KmHYQWVV6ayGpaeA28+qzwo2RVtz0Wc/z/04DZBORqPhJQSMXsxYto8cNL4D/xEJcLnPXgK1a88X4VxZUUaulr7x1FnFb7sJOanf1y096QZG2zfHdyDonNQNJq8YrkDLcrI9WuUgZGt+N68R83vvXNLQhEIVWB+5ObcJu+e7/aXks9eT8/hmglASQyUK6+8shSXHfeYlgrp6i3nOiStB1XoVfYBL5x5EEx0qVCv3lTUwpSZyghp2Y8wTMQgK+f+jPk6xl+Th3TSSubSSSE9F5p2qfDBlv2FjlYT5LTZquJxrD2/cFiOrCqNHFBtRjO+cAoUacxiCYO09qBoJjnDLpbb2dITxSBEpqhtr5y+UFQZKN19BGp6n5dFC9loJhAlMVCklNxzzz38+c9/pr29nQcffJCXX36ZI0eOcOmllw7rGrfddhs//vGPefDBBznhhBNK0cxRJRQyiYSsoxcO8DKFmkIVymOSiqkV6r5EqtRg5Wf00Ctrc7sGWjnXMf4amVXIcmxVtd1Xai8cfBv52hOZHJNeGBkJa8NQfU5KNZlmlecCISVJ3fe8XMX5ySmcMdGwPQ9rgEKMpmHgaA+KZpJTsFguBTwc2ST5UFRFShQ0Ttr7Sw9rKXbNBKckBsoPf/hDnnvuOT7ykY/wla98BYAZM2bwrW99a1gGyhtvvMHGjRvzqs+PVwwhCEWsfjkoQ+E9/wBseEytqFTVKnWtrgK1JYxMlXkp1cpJOgHJOKQSeP+t/vbYKe0hmYT0DS+gcTEc2qm8b7VTYclZGA2NuXAsf+9WeOUR6GrJzx0xzJ7XhgmRaqUol+hWE2KiC4yMPr/nFNDw7/V6IKUazbjC9l0sUXhMCwhdqFGjobNFzd/dzWqh0bSU4EwfD4dYeTHy8TshcTg/KiIQVgZKd1tB6WGx8mLloYEBhU80mvFMSeqg3Hfffdx+++28733vy3kMGhsbh1VJ3rZtbr75Zr7yla9MCJniaCRwDMbJg7BxrconEYbymPQN5wIl4VpVr4ySWLtKmk/G1XmBILQdUv+E0JXgJxm58IJEF1TXq5W5LS+oFTfDgCP7YO1v8fduQUof/5VH4InfQkdzvnESikLNVDACPf3NSSnFGdcm503JGiVmQCXBh6JghXoKjQpDeQGnzxvtP4WmBKgq8gN7ULSKl2bSEwxnhEJcNUb6rnodDOcdJjEycuu95ngrpHJJe1eH7xNSaSw4GbH6WhXanUooIZvV1+pFSM2EoSQeFM/zqKioAMgZGfF4nGg0OthpgPK+XH755cyZM2fAY7q6uujq6srb1tTUNIIWl45CKl0wcPKc9FzY/oo6qO9KdhYroHTQfa8nIVmInirdgZBKaM4aeInuXMVvnUBXGsqtT8rXnlTGhBXKGBStykgxjYzBYapJ8+W/Itf/VVV070emSGcgBDPmKqOk80gf70ov40Soa5t/f1N+/LVe3RsTStkn7UEMFEsYpAvmImk05TdWjgq9vcrppEpw72qDaY1w4G1VVBnICY9UVCvjpPdY63vqvL45o3o+10xQSmKgnH/++XzrW9/ixhtvBFSc+w9/+EPe/e53D3req6++yuuvv87nP//5QY/71a9+xW233Va09o42/ZLnUjHk8w/ieS5Gw+xMQnKB2hKgDJNAEBKxfFUvUA+B2Yq02UKMQleCHw3KoU9K6WdySexMDRuhpIFBGSdCgOdl8kaSalLsJwNsKOMlq70fiqgQwrZDasIseGO/J3whIz+sCy2OPaXsk7Y3SIiXYWJrA0UzAOUwVo4KdkotGCa6e0K8AkE1joajUDsN9m7tlXMi1GJQtEp5ugt9h+IdWlJYM2koiYHyxS9+kRtuuIEVK1bgui6nnXYa55xzDrfccsug57388svs3LmTCy64AFCrKv/4j//It771Lc4999zccR/5yEf6KYU1NTVx7bXXFv/NlIBc8ly4QskJIiHWCc89gB+toqBxYlrKlVs3DfZtVZVls8YIqAfNrFxwIJSpBJ/ZpivBl5yx7JMynVQhAq7dEw5gBiDZ1dNHzEzdHMNQ3pLehkmuGJjoCSOwgmoVz3FU7ZOsMIMQPcdLqf5Ny3g7nbTqoxn06t7YUso+OViIl2WYWsVLMyDjff4eNtkk9voZPdtaD6nwV9eFvW/m55ZYQaisy1SIzxZnzEZgZJ4JtKSwZhJREgOlsrKSn/70p7S2tnLgwAFmzpxJQ0MDL7zwAqtWrRrwvOuuu47rrrsu93r16tXcfvvt/VS8qqurqa6uLkXTR4d4lypuJ1ASwnZKrbIUyjMBZciEomrQSsXBzwxW0qdHHQk1aGVXXaJVSvkj+7uuBF9SxrRPpuJ96pMAy86FFx4EbDCsTC6I7O8xCVcor1zbocx+X3lMDFPV2HEdqKzpmUizOSWGqfqa9PPr6Oj+VTaUsk86voc5YKFGk5iTKrhPoxn38/cw6Z/E7qh5XBjQ3kS/hcjKGvUMkDNOyD8mGMk/XkdEaCY4JTFQskyZMoUpU6YAKvn9Yx/7GFu2bCnlLcseaaehbjp0NitDw07lV4GPVkEgoowY6amHR+mpeFXLAmpUDorn9TwkmpYKxamboQbFbFiNrgQ/SejvcTPmLMb3HFi/Brqa82Ogs16VYFgJKvTeFq1W3pFkQvUr01IJmCKTa5L1sAijx1jRleEnHUrFa+BK8mktM6yZ5OSFuXa3w9Q5cGgHxNp6DsqOq1V1yjBJJ1QYmOf1LDoJQxk20cr8G+iICM0Ep6QGSl9kP/nRwVm7dm2JWjK6SN9XdSLslHr4W7AcntuhtvVeLZm/DHHuVcj7fgw1U1ChXx0qXwCUMeKkIRgiV7SxTwKyDqvRSCcNW16EN55R3hVQhsVxpyFOPh9RVY//++8p51vnETUZVtSoMLBkTMVGhzJ9KqMK4z3/gPLI+F5mUs14VM5+P+aqy8fsvWrGhvQgdVAsLTOs0eQTiqooiVhHz7ZsjmhFjXoOiFRAdHbPfN5LkSuXtwpadEQzaRhVA2UiyAYfLTLZrQyMzAOdtFNqFSXZ3bOqHYrAiosxFp+hjqmbrvIEUrHMqrXRk09SUYs4/3+o43QCsqYXMp2ELc8j33iup2K7acEJKxHL3onoVbyTYBA6jqjJrqY+k1jfrgyZAh4Rc9XleAAbHlWGdjAMp1+kjZNJiu27WANUkg8Y2kDRaPLEcCJVat7PersNU/1aUavCbKWvvNkDzOdadEQzGSmqgeL7/YsJZfEmq8vfUYnLUvrw9kbkK2t6lJWq6hFnvQ8xZ4l6LQzlFXEziclCZFarM9fqZeBpT4kmi0zFka+vU3VOnLTaaAVg8ZmIZeciogPEe4crMypy8R6DpnYa5t/fVPBwc9XlMIhBMpB0tmbiYXsuYTNQcJ9lGNiTdbzXaDLkxHAMA5p354dsVdUpo8UKQncbYvXf5o2V/q5NWlJYM+kpqoGydOnSAb0kUspJ6UEBkC0HkC88qIrjAVgBxMnvgmXnIrIKW2YQolUIK6CMk6r6jDyhrXJVsvHeWl5Qk0G6DvK5PyE3rs0UTURNeCeerQyTcMXAJ4cqIBhVyZqu008m+GjpJ52t++mExvY9qgLhgvu0B0WjQRkX4aiKhnAzKolVdWoRqXKKyi01jILGiR5LNZoiGyiPP/54MS837pGJbvw1P1eywFmmz0ec/zeIiprMBqFcvOGKHgMuJ084HdqaQWQme8NU+QLxLuQDP8WbtUivUk9i/Cd+C6+vUy+EoXKYVr0fERqkIKphQrhK9bmuI0q2OksfmeCj8YjkVgu1DOakwB4kB0XVQdEeFM0kp6ZBLUraaTXuCkOFezfMxrj8U4hIZcHT9Fiq0SiKaqDMnj27mJcb18jWg/i//XpPyE227km8E9nWpAwUMwCRKkQgmHdunjyh64CRkRIOhDIKIEJ5VfTKyqTF37UJdm1S+UvBiEp4P7IPeXgfYs7iwicFwspLZ5iI01YPmnR51Kt42dXC3mgZzAmLUvHSOSgazYBU1PYsTkarVSitk4aGxgGNE0CPpRpNhqIZKP/6r/86rBCu73znO8W6ZVkjWw6owUgYKvktXKFySFwbtr4Ex58O4cqCf7P8hLjWHqWPRBe5wk1WQK+sTGLk+jUqUb12mhJPSMVV39r8DPQ1UDJeExHqCckZKunyqFfxsl6/7PGgZTAnMCpJfiAVLwO7b70djWaysWsTIHpqLWZzT3ZtGvw8PZZqNEARDZR58+YV61ITAnHCSuTTDar4UlYmWAhVoNFzEZGqQc/PJsT1rGSbPUUYhVBVvkGvrExWCq2ymYGe4pxZglGIVCIKPEwOmnR5lKt4/YuSaRnMiYzteQQGUfFyfQ9fSoxJmneo0WCn1CKPEGpBMRRVAjnJ7kFP02OpRqMomoFy/fXXF+tSEwIhBEyZ1TMYmVaPm7f3ysgQ9POmIKCqVoX2gF5ZmaxkV9mCvRKVPUet0IFarYtWI4KFE5mHff1hruJpGczJheN7A8oMCyGwDAPH9wiZRY0i1mjGD8FwJorCBMNSC4ypWP6YXQA9lmo0ipLNHrZts2vXLtrb2/MKNK5atapUtywr/F2blDHS3aZqmASjqhq8IRAXf+yortXPm2Jkqs/qlZVJS26VzbXV5OfaSkBh+XkqJyVSiejzANk36Z3GxbB/W8FJ8FhW8bQM5uTB9r0BK8kDBAyLtOdqA0UzeTn9Inj+fjX/tx/qqXt2+kVDnqrHUo2mRAbK+vXr+ed//mds2yYWi1FZWUk8HmfGjBmTQumrx5AwIRABJ6UUkwxDybseI3plRZMl1xdee1IZvpFqOPVdGItOR2S9a73ol/Te3gz731KhgtHqfknwuq9pBsPx3QFDvACCOlFeo+mh1yKtRqMZHiUxUL71rW/x8Y9/nI9+9KOcccYZvPTSS9x2221EIv0fnCYiuQTjeKcyUhxb/TTUw+FIktr1yoomS7YvyM4W1b+iVT11dfrQL+k9nVSx0emkEmAokASv+5pmIGx/4BwUUHkoaU8bKJpJzIZHM/N+r++J76ntgxS81Wg0ioF99CNg9+7d/P3f/33etuuuu45f/vKXpbhd+dHZosJiHFtpoIPKCfBcndSuKT6RSkRV3YDGCdDTJ7N4bk+fzKL7pmaYqByUwUK8TGxtoGgmM3aqp8ByFmEcczFcjWayURIDpaqqilgsBsDUqVN5++236erqIpFIlOJ25UdNg4rZNy0g49qVvnqtk9o1RWZYifDZPpnFtHr6ZBbdNzXDwPU9kGAOmoNiktIGimYyEwyrMbY30h8ySV6j0ShKYqBcdNFFPPXUUwB88IMf5O///u+56qqruOSSS0pxu7JDrLxYrUyHIir21PfUz1BEJ7VrxoRcn3TSPX2x908nrfumZljYvkfAHDi8C3SxRo2G0y/Kn/+zP4eRJK/RaEqUg/KlL30p9/vHPvYxTj75ZOLxOOedd14pbld25CUYe54amEwL6qbrRGPNmNAv6b1uulL8GkDFS6MZCNtzCQ6SfwI6B0WjMVddjgcq58ROKc/J6Rdh6vwTjWZYlMRA+frXv86///u/516vXLkSgG984xt5xstEplCCcVbm1Xv8Tv1AqBl1hkp693dtwrvnu9pg0QxK2nexxOAGimUY2kDRTHrMVZf3S4jvK/eux1mNpjAlCfG69957C25/4IEHSnG7cUFO5jXeoWRes7KuuzaNddM0Gt0/NcNmsCryWQLCJK1DvDSaPPQ4q9EMn6J6UP7whz8A4Hle7vcs+/bto7a2tpi3G1f0k3ktIOuq0YwVun9qhovtu8PKQdEeFI0mHz3OajTDp6gGyv333w+A4zi53wGEEDQ0NHDLLbcU83bji84WtWLSGy3rqikXdP/UDJO05xIYRMELsgaKM0ot0mjGCXqc1WiGTVENlF//+tcA3HrrrXz2s58t5qXHPzUNyq2bXTkBLeuqKR90/9QME9tzsYaRJJ9ytQdFo8lDj7MazbApSQ7KZz/7Wdrb2/nTn/7Ef/7nfwLQ3NxMU1NTKW43Lugn86plXTVlhO6fmuGS9t2hc1AMk5SvPSgaTW/0OKvRDJ+SGCgvvfQSl1xyCQ8++CA/+clPANizZw9f/epXS3G7cYGx4GTE6muhohZSCaioRay+Vqt3aMoC3T81wyXtDV5FHiBo6hwUjaYvepzVaIZPSWSGv/nNb/KDH/yAVatWccYZZwBwyimnsGnT5FaqGErmVaMZS3T/1AwH2x9eHZSUqz0oGk1f9Dir0QyPkhgoBw4cYNWqVYBKkAcIBAJ4nleK22k0Go1mlEh7zpB1UALGxJQZlr4He95U4TnzT0IMYahpNBqN5tgoiYGyaNEinn76ad75znfmtj333HOccMIJpbidRqPRaEaJlDd0DkrQsCZciJfsbsP/04/A9wEJLz+EcfXnEFZgrJum0Wg0E46SGChf/OIXue6663jXu95FKpXiy1/+MmvXruWnP/1pKW6n0Wg0mlEi7Q5TxWsCGSgy1oF/97cR85bBYhW2LF94EP/pP2C++8Nj3DqNRqOZeBTVQEkmk/zf//t/eeutt7j44ouZNm0aV199NTNnzuQPf/gDM2bMKObtNBqNRjPKpHyHmkBk0GOChok9QQwU6aTx7/sBYs6JiCVn9uw4/ULkml8gT78QUTN17Bqo0Wg0E5CiGig333wzmzdv5p3vfCfr1q3jzDPP5Ctf+Uoxb6HRaDSaMSTlujSEJkcOipQSf83PIVoNJ56dt0+EosgFy/FfeRRz9d+OUQs1Go1mYlJUmeGnn36a//qv/+KGG27gjjvu4Mknnyzm5TUajUYzxqQ9h6A5tIHi+h6+9EepVaVBvrIGWg4gVlyUE3zpjVh4Cmx5HqkVyzQajaaoFNVASSQSTJs2DYCZM2cSi8WKeXmNRqPRjDEpzyVoDO58F0KM+0R5eWA78qWHEGe/H2EWToQXFTVQOw12vjbKrdNoNJqJTVFDvDzP44UXXkBKCYDrunmvgZz8sEaj0WjGH2nfGVLFC1SxxpTnErGCo9Cq4iLTSfyHfoZY8R5lhAyCmH08/raXMU9YOUqt02g0molPUQ2UKVOmcOONN+Ze19bW5r0WQvD4448X85YajUajGUWUB2VoAyVkWKS88Rn65K/7PUydg5h13NAHzz4e1vwC6bkIsyTCmBqNRjPpKOpounbt2mJeTqPRaDRlRtpzCQ7jQTxojk8DRTbvgbc3IN7zD8M6XoQrkNVTYP9bMG9piVun0Wg0kwO93KPRaDSaYZMepgclaFik3PGXg+Kv+z3ixFWIYHjY54jp8/B3bcIcwkBJplxaO5IkUg4p2yOZcognXVzPpyoaYOGcWqZPqRjpW9BoNJpxjzZQNBqNRjMsHN8DJKYYWl9F5aCMLw+KPPg2tDXBmZce3YnT58PGgSMIumJpHn9xL/ubuqmtChEOWViWQShgEgqaBCyDts40r23bztxZ1Vy0aj4Bq6gaNhqNRjOu0AaKRqPRaIZF2nMIGlZByd2+BMdhDor/8sOI41cghuEhyqN+BsQ6kPHOfkn17Z0p7v7rVhbOqeX971qIaQ5seCw9rp5X3mjmT49v56qLjsc0tJGi0WgmJ3r002g0Gs2wSLoOoWEmggcNk+Q4qg8iu9tg3zZYsOyozxXCgGlzkXu35G13PZ/7n3ibJQuncOLC+kGNEwDLNDhz+Qw8z+fp9fuPuh0ajUYzUdAGikaj0WiGRdJzCA9QE6QvAcMkOY48KPL1dTD3RMQxyiKLhkbk3jfztq3f3EQkbLGwsXr41xGClctmsHVXGwcOdx9TWzQajWa8U1YGSnt7O5/4xCe4+OKLef/738/1119PW1vbWDdLo9FoNCgPynAUvECpeCVcu8QtKg5S+sg3nkXMP3rvSY5pc2Df1tzLVNrllTebOfmEhmGFxPUmFDRZfkIDjz2/B9+XQ5+g0Wg0E4yyMlCEEHz84x9nzZo1PPjgg8yZM4fvfe97Y90sjUaj0QAJ1yY8TAMlZFokx4mBwoG3wbBUVfhjpboB0kkVKga8tu0wM6dWUBk9No/MnBlVCCHYuqv12Nuk0Wg045SyMlBqa2s566yzcq9PPfVUDh48OIYt0mg0Gk2WhGsTNIZpoBjjx4Pib3keMWfJUXs6eiOEgKlzkPvfwvclG7ce4fi5tSO63rLjpvDcqwfxfP+Yr6PRaDTjkbJV8fJ9n7vuuovVq1f329fV1UVXV1fetqamptFq2oBsbjvII/u30JKK0RCu5D2NJ7Ksftaw92vGL+XaJ8czxfi+TObvXCn6ZMK1h50kHzItEuMgSV56Lmx/BVb/7YivJRpmI/dtYU/VEiIhi9rq4ddSKcTU+ijhkMXWnW2cdFzDiNtXDpRqrBzOd30yjwcazXijbA2Ur33ta0SjUf7u7/6u375f/epX3HbbbWPQqoHZ3HaQu3a8jClMolaQDjvJXTte5sOcwbL6WUPu14xvyrFPjmeK8X2Z7N+5UvTJuGsTGq4HZbyEeO3bChW1iIrakV9r6hx4+WE2B1qYO6tq5NcDliys46XXD7F00ZQReXjKhVL0y+F81yf7eKDRjDfK0kC55ZZb2LNnD7fffjtGAR34j3zkI1x55ZV525qamrj22mtHq4n9eGT/Fkxh5lYXQ6ZF2lPbl9XPGnK/ZnxTjn1yPFOM78tk/86Vok/GnBRha3gqXiHTIjEOVLz8bS8hZh9fnIvVNCATXRzed4iT3jWChPteTKuPAoJd+ztZOKe2KNccS0rRL4fzXZ/s44FGM94oOwPl1ltvZfPmzfzsZz8jGCycXFhdXU119fBlG0eDllSMaB95yqBh0pKKDWu/ZnxTjn1yPFOM78tk/86Vok/GHJuZ0eGFLYXNQNl7UKTnwtuvwoX/syjXE8IgWTmDJaE2gsGjLPY44DUFJ8yr5eXNTRPCQClFvxzOd32yjwcazXijrJLkt2/fzu23387hw4e55ppruOKKK/j0pz891s0aFg3hSmzfy9tm+x4N4cph7ddoND0U4/uiv3PFJ+akiAyzTogK8XLwZRnL5O7dAlX1iGjxHpgPi1rm+8UVd2mcUUV7V4rm1nhRrztRGM53XY8HGs34oqw8KMcffzzbtm0b62YcE+9pPJG7drxM2lOrMrbv4UmP9zSemNv/q7deoC0dx/N9TMMgYgb4m4Wn567x5z2v89iBraQ9l5BpceHsJVw2b3nefXSSn2ai0rtvh02LbjtJm/QH/L4MRaHvXEAYWEJw40v36+/PMRBz00SGWajRFAYB0yTlOf1WrssFf+uLiNknFO16ruuz267hHfYWWop2VTAMwaI5tbzyRjOXnrewiFeeGAw0v545dR7f3/T4oGNK72P0mKDRlA9l5UEZzyyrn8WHF51BbTBCwrWpDUb48KL85DuJWknMJjpmX4MyTv6ydzO252IIge25/GXvZv685/XcMdkkvw47mZfkt7lNSzFrxjd9+3bCtUl4avW90PdluPT+zkkpSXgOMcfW359jpNtJH5WxETEDxJ10CVt07EjXgZ0bYc7iol2zqTWOrJmKlezEKHLo0MI5Nezc30EsUd5hc2NF3/nV8TyePPTWoGOK7bk8dWh73pz6h10beKPtIDE7peWdNZoxpKw8KOOR3qu+EknMSeP6PgnXZnd3Ky8272J9y178zOBpIBBCYAiBgZFL0HvswFYEYGZFAYTA830eO7A150XRSX6a8URfb98JNdN4q/NwwdfZ+hrRUAggl1ztSfWA4EuBLR3+c+uzRK3gsFY6H9m/BQMDQwh8KfGkRAAp36FGRPT35yjxpRrXIsNMkgeIWkG6nTRTI8VRtCoqO1+D2umISPFCfPY3x6ivjeKkZhE8vIPU3FOKdu1gwGTuzGo2bjnMuSsai3bdicAj+7cQd9JkzQlPgoNHAJO6UAWgxhQB+FKq+VcIbM/DQ1IbihI0TKoCYWzf5b7dG6kwQyQ8m4gV1F4VjWYM0B6UEdB71dfxXNrSCWzfQ6BWZh7c+zovtezJGScAPhIv42KOuWkOxDsASHtuPwlJIQRpz829bknFCBsWAcMkbFhUWiGmhSvpspOj8XY1mmHT1yPSlOjiL3s3czjZRdQKcjipXjcl1Ou05xJz0yQctTrcu9+DWh1NS59kJlxoON6PA/EOYm4az/cxMteQqO9mlmIlycpyzrMoEt1OmrAZwBTDnzYiVpBYmXpQ/DeeQcxZUrzr+ZKmIzEaaiO4tTMINb9VtGtnOX5uLZveOoLjeEMfPInY1tlMIV+H0yvnxPZcJGocMCDnHQkaJjWBMAaCdjvBwXgH++IdvN19BNvztKdVoxkjtIEyAnp7NLp7qdX4yB5PCFBIud4QAqTMrRCHTKv/Q46UVAbUirLjeyyomkLQsrCEwPE9Op0knXZSJ/lpyo7e3w0hBClfrV4mPAchRG41M+Wr1wHTBCnpdlP9rtX3+yOEIGRamMLkkf1bBmyDJ33IrJYKIXpdp+e34STJ+lLi+h6255J2HRKOTbedoiOdpC0V50gyNi4KEo6UTjtJVWY8Gi4RM0CX0/8zHWtkrAMObC9qeFdLR5Jw0CIUsrDrGgk1Fd9AqawI0lAX4fXtxcxwmSyI3P8tw6TaClEbjOBJnx3dR3i7+wiHEp05760rfRKePayxRqPRFB8d4nUMZENXtncexjIMaoORnvhXUKu0vVZuCq2tZvcnPYfrn/kdlmFC5kHKEgaWYWIiOK5mKg/t3awehtIJdsda+6niXDFlToneqUZzbPSV9HR9Hw+J57nsjbX1HJhZxawJhGn14ji+189Q7/v9ORDvwDIMqq1QP+/Hf215Ni+kUt1CfdeEEJgILGESMkwc3ydsmlzceCIpz0FKyfbOwzzXtJOWdJwKK8jSuhlMj1Qr4yRjpNi+h+272J5HU7KTvbF2IlaA2mB0QoeCtKcTVAaOrjJ61AqWpYdXbl4HjYsRRUzeP9AcY0qt+vt4VQ0YqThGohM/WlO0ewCcML+Ol15v4pQlU/MWwiYT/2fjo7zVfWRYxx5KdOJL5T8NGiaWMPGkT7uTHDCrLSAMqgJhGsIVpHxPyxFrNGOANlCOkt7VaAOGiet7tKUTOcNkuIEeljAwhVBGCT1uZ8fzSNMTgvLSkT1DX2uSTlKa8qUhXEmHnczlS2U9hX3Jbg9bQaqDHinPJTFE7Qwjk5/VkU4yo6KGuJMm7bncs+MV3uxsznlthCTP/eJJiZQSic++eDumMIhaQe7e+Qq255Hw7H6hZVs7m4f1frucFFIyoStTt6XjVFpH50GpsIK0pxMlatGxIT0X+dqTiHd8oHjXlJKDh2MsWVivNggDp242oaa3SC48o2j3AZhSG6EiEmDrzjZOOq6hqNceDxyNcQJqCDAQSIRaXKB/eFzUDOBLqA9FcaSHLyVVgTCGMABPyxFrNGOANlCG4I22Qzx+YCut6ThTQhXE3TSO69Llp5GZUC4JBIWpjBMJUqhfBCKzGizwMxHw6gFJuY/dYVozljCoz9zbk2oVyBRGTibxrc7DvGfO0hL9BTQTDc9XvVEgyPyXQRnLfXOhhsubbYd4/OA2WlMxFfaYTtKeiQwPZPIWsoFWUr0AJM2JrpxBEQkEsH0XS5j0Nfdl5v/Z9ktgX7ydf3nhj8fUXoD4URQSFEDAMIlYQYKGSZedwpNKrrQ+VEHAMEl77oRNuj+SjFEVPDoDpSoQZsdRPEyOBnLLC6r2Se20ol2zK2bj+5LKaI+AgFM3m9ChLUU3UACWLKzn+dcOsmRh/aTzogxlnCghGvClWvjrW/ukEP926sW533d0HeHR/VvUAqJU+XC9SwZoNJrRQRsog/BG20H+vPd1kIKaQIS4k6bVjiMBU4jcACilxEH2hF4VIV+29yNiXSiKLz0MoDYUzdsbNQO0pnTxLs3w6XZSeYniffGkxMmEMaV9D8frCWmyc2FObm5b2ndpTcXYnxF8IPNQIGVPYnpBcjt6vCvJdOlyOQTK2AfBaQ2NBA2LoGkRNFSuzKP7txA0LQxhIFDezG43hQSmh6twpY8vfd43dzkn1Ezj+5seJ2wFEELQEK6k005O6FCQ5mQXC6qObsW+OhimpYzGJ+m5yOcfQKy4qKjX3X84xpS6cJ5xb0+ZS836P4L04SiEBYbDtPookZDF5u0tnLK4eIbWeCOQWajzpcx8P6UK7+wz6AhUXR7LMAgIE9NQ6n5ZwYeaYBhQyl5nTptPbTDKk4feoinRRW1oYoduajTlijZQBuCtzsP89u2XaU8n8EZgcQjISQpnpQ2z3g8TgWEIREZ6GNmj5d77/5YwCJpBgoZL1ArlwmZAxfbXhaLH/kY1k4aNLfv4w65XSbg2UkqqgxEsw8gYHm7O+HAHCMcaDQwEAcPE8T3Us172+5H9jZxMt9oLDeEKDAStmVBL6O8Fmh6pAgRJN03K83IPHmfXzmdB9VQAdna1EHPSBAwTUCFNNSKMZZjUBCOAyh3b2LqfE2tnMruilm7n/2fvzePkuuoD3++5S63d1fsmtTbLshZL3iTbGAMB4S3BYJuBsJjA5AGZhC2TZJLMJBkYlvDGJI8wg0PIAJkQxiF5hjyMzWLjDbzbsixLsnZZu9Qt9Vrdtd7lvD9OVXVV70t1d1XrfD8fu9S37vKrqt859/7Ob8sQMM3CdZZyKEhXaoitzStndExDMKKa50l/RtW/5gu58xdQW49oKW/e3umuOGuWl+aa+OEY0g5h953GaZrZ9zYdNq9r5rldZ9mwpolgwJz6gCWII30cb+x8lU+Ej5g2AcPCRVXO9KTEkT5Z11PVNHOlx0OjcpE2NXawqbFjYT6ERqMZF22gTMB3Dz1PT2b6K39GLrndFiYBUyXiFUoK5ybC/OqO57v4njJFZC55byITKL/ykw8jy0oPU5gl3eo/sLb8IQSapcXevrPcd+RF4kUlX5OpmXkrbGFgmxbBXKnroJl/NTky2IOVW5UUQpBwMojciuRoAz1vpBtCqBDJorEhpaQjXMeZ5AAScl7J4rECoHqa5AeNZahpTEpJyleeoXxOGEBIGDi+z7CTZjCbptZWRkdfJsmDp/bwm2u2sqmxg+3L1nP/sZ240idgWCS9LEiosYOFpHtTGPSlEzSHo9zUuYEfHtuJ44N0sks6FCTjuQxmUzkP7vSxDZNaO0hXMs7yaP38CDdN5MB55Is/RWz/YFnPO5TIksp41NWODX/LNq0kdGbvvBgojXUh2pqiPPvKGd52ffnPX6kYMG5JYYGq7he1bECofDbPYXCKKnLralvmQ0yNRjNHtIEyAXetvpJ/OvS8ClUZ9Z6BIGCa2IaFbRhYwsSRHq7v4fgeQ055V6HzScEY8IG115Y0v9OuZ810eOT0fkJmACEMyK0iSikJmRY3tF1CwDBzIU9Kr4O50KeAYebCoKyC1wKKggxzxse/vr6DpJslZNgIQ1XOySelK+NcGeme7+PnwiHzxgeURmTEAmGGnMy0O8fnex00hKJ0DQ+QzT2+GAgurW1GGEahGWTItInYAVzpYwiB48PPT+8rrJj+O64eabwqIWRaGLnFAFAP6vU5b8qmhg58efVFMR5PDPfREqqZlRdkebSevX1nF9VAka6D/9A3ERvfgKhpKOu5T3UN0dIQHjd3K9u8mujrLzB0xW+U9Zp5tlzWxCPPnuSyNQ0sb63AZpjzwLq6No4OduMCtXaw0PzYMkzSnsNALjdsOgSFgbjIcng0mmpBGygTsK1lFf92bBcDuRKZduFhTbnSs54yRlJuFlf62Bg4467rTE7MDhG2AlxIDdEYjBCxg5we7i+s2I6sIisZNjcuY3PjskKp438+8tKSfjDSlId82d8aO0jAMBl00kgpSbsOb2hdU7Kviqwq8nIIA4HAFOo/UfCEGAWj5a0dl/Gvr+9gGBUiNVHegS0M7n3T+/kPT/3zhLJKKYlYARJupuBBnMzgz3huwaMYC4X5wNrxq2j92YsPlJQ+BlWC+PX4Bf7sxQcK4+gPr3g7MFKxr/j8oz0k+fG41Dk8eJ6OWZbLvaJxOQ8c383mxmWLYqRIKfEf+UcIhuHSa8p+7hNn41y6sn7c9926DszkAOZwH15NY1mvDRAMWFyzqZWf/PJ1PvTOTURC9tQHVTm3dG7k+5lhTKEaLAKcSPSRmUE565W530JKuWRzxjSaakcvHUxCyLRoDkVpCIZzDyiqW3xPOsGQkyHlObjSp9YK0lFTT60VLKwsBwxr0i/XFgZNuco/9YEwHZEYZi723TZVDxRBLsTLMIgFQoUHhNFdunWnW81UNIdqCl4AQwgipk3ItFlV20jYClBjh6gLhGkIRmgK1dAarqUpFKUhGCEWCFEbCBKxAwQtm4BpYRlmiUfl8sYOfvOSrdQFwiTdLGHTziWkjxA0LC7J5XsEjPFj5gWQdLN0Ruu5rnkVIdMe0/eneN+AYVGfu2Z9YGLjZPR3AJB2s/RlkiDEuONoc+MyPrD22mmffymzt+8sK2fpeWgLx3hT+1q+tf/psc1o5xkpJf6v7ocLpxDbbpt1hbqJGBjK4Ho+sZoJ+qkYBpnmNYROvlrW6xazvLWGFe21/H+PHiaTXfod5ovHZW8mgRBiTHnwyShu2bqUc8Y0mmpHe1DGIe+dGMikSPsuUvoIRCFZPmYFCdtBUm4WiSRiBdWqrx0kaFmFh5gvvPwTuvIlVKEQR98eifHZre8Yc021Wgu1VpB+L4mBoDEYwTDMkpXb4i7doLrQZzyWbHlTzdy5pXMj3z/6EinXwRJGrlKXy691XEYsMLPmexNR7E3Y23eW7x56npTn4PmqFG/QtAo6XGMHlXEwioZghC9fd8eY7Q+d2MNPTu4tJMnn81Fu7dzI7au2TEu+/HeQ8ZSB1J9bca2zw4Xu9KPH0cXiIZmMeDbN2eQAt6/cPOtzbKxvZ0fPSV4f6mFtbOFi/uXzD8KRnYhfex/CKr934fXTg7Q3RSY1fLKtlxI+8TKJTW8r+/XzXH5pE7sOXOBffrafO7avo36cfJiLFTMXAuZLHx8IGxZSynE9ohqNpnLQHpRRFHsnGkNRgrn+Jn6uC21jMIJtqlXbj1z2Bv79ZTdMuMKa9lwaghFVBhHlCWkIRkiPs9pTvCokgfZIjPZoHT6MOW9PenjMCvRSLm+qmTt5/YoFQvRmEgRNi3evuZrL57FSTT6HJP/wVpxTIhDErGBhNXP036O5fdUW3rFyMwHTwpeSgGnxjpWbp22cwFiPiJSShmCEiD2y+q3H0Vhe6TnFmtpmrAm8XtNBCMEltc3sWUAvr//Sz5CvPY14y3sQwXDZz++6PqfOxWlvjk66n9OwXIV5xc+XXYY8Qgiu2tDCivYY9z20j+dfPUvWWZrelPEiCCYjP2cETZvrmlexorbxoveIajTVgPagjGK0d6I5UltIjC2OTZ9O/ke+m3ZbOFbYVpxkO5rprtaO7tIN2lWtmZqF9AY8cno/EStIQ3Dk4a24iWFeh+tDpe9PNDZAGSmjDZL8WJxuknrxd/DV3Y+NebjR42gsL104zsb6uRuyndF6Xu07XQaJpsZ/5THkK48pz8k8/Z4nzsapqw0SDE5xGzUMMm3riBx9gaGr3zkvsoAyUtatqqejJcJrR3rZua+bKy5r4ZpNbUTCSyc3ZbwIgnyEQvGrAIKmzdfe+N5Fk1Wj0cwe7UEZxVTeiZnkf9zSuRFPemQ8Fyll2cqQztd5NZpyMdU4KocOzzUXS4+jqRl20pxM9LOqdu4J3u2RGKeG+6ddYWm2+HufQr7wE+U5icxPZSvflxw43sfytukZP5llG4m8/gLMIFdittREAlx/RQdvu24FvYMp/veP9vLMzjM47uL1Nyon480twXyp8dzfKuoBtjRo74hGU61oA2UUoxNpoXRVtXj1Jh+3bgqTR07vH3Ou+Uqy1cm7mkpnqnFUDh2eyVgcDz2OpmZ331lW1TQWmlfOhZBpU2uHOJccLINk4+Pvew751A+VcTKPFcNOnotjWwZ1NdPL9fCijXjRRsInX5k3mUZTEw1wzaY2bnrDSs5eGOaffvwaXT3T7+1VqYw3t3jInNdkJGQ0atpT9kDRaDSViw7xGsXoRNrRiXT5cq3FTBa3Pl9hNTp5V1PJTDWOYO46PNOxOB56HE3Oq72nWV3TVLbztYVjHB/qozNa3l4kAP5rzyB/dT/ize9BlMHjMxGu57PncA8b1jTOqCpYasWV1Lz2GKnVW2EW/WRmSyRs84YrOzjVNcS//eIQb97ayZbLqrc54bhzi+/THIwStkcMRl1CWKOpbrQHZRRTrapOtTKs0WgWxjuhx+L84vk+Bwa6WVNbPgOlNVzLsXhP2c6Xx3/5EeRTP0C85b2Iuuayn7+Y1w73EIsGxu0cPxlO00oQgtCJXfMj2BSsaK/lrdet4Pnd5/jVjlMLXvK5XIw3t3RE6zBGefn0XKDRVDfagzIOk62qTmdlWKPRzL93Qo/F+eVI/AINwQhRu3wlazsiMZ48d7hs55Oei//k9+H4XsRb34+Izq6Z5HTp7k1y/GycrZe3zfxgIUhecj11ux4k03k50lr4UsC10QBvu24Fz+46SzzxOre9aQ2WWX3rlKPnluIy/Xou0GiWBtU3My0yOm5do6kM9FicX17pPcWaMoZ3AbSGaulND5NwsnM+l4z34P+/98CF04i3fmDejZPBoQzPv3qWjZc0ErBnl5PjNHbi1LUT2/njMks3fYIBk7dsXU4q7XL/wwdJppxFk6Vc6LlAo1l6aA/KLNBx6xpNZaDH4vzgSZ+XL5zkrtVXlfW8pmHQGW3gwEAXW1tWzuocUvrIPU8hn/4h4rJtcNm1Ze8QP5oL/Ume3XWWtSvqqY/NrbFpYt2bqNvxAyJHniN56Q1lknBmmKbB9Ve0s+9oH997cB+/8ZY1rGiPTX1gBaPnAo1maaENFI1Go9GU8GrvaWoDIZpCkzchnA2XxJp54fyxGRsoUko4vhf/6R+C9HP5JvOb7J3Jeux/vZcTZ+OsX9NAY93cGz5KO8jQFb9B7JUfI7IpEhvfuqBJ83mEEFx+aRONdSEe+uXrrFlex41XL6c2Gpj6YI1Go5lnloyB4nkqWbarq2uRJdEsRdrb27GsmQ0XrZOa+WS+dDLhZfmXs6+wtbaDCxcuzEnG8Wj2TZ4Z6Ob5I/voDE2xau852APdBLuOED6xG5CkVm4h27IaskCZ5ZNSks76xBMuvYMOPYMODbUW6zpDGDLDwECmTFcSDK57O21HnsU++iIXVr2BoaY1eIFImc4/fSxg6/oaTnYl+Mcf7aGlPkBna4jmeptoyJyRd2o2Ogl6rtTMH7PVSc3iI2S1lvIYxY4dO7j77rsXWwzNEuWxxx6js7NzRsdondTMJ/Ohkyt/401c8u63AzBw8PhcxJuUunUrEYbB7v9xH317jgDQGgnw5G9dN+Ex8YzLwd4E5bph1TW0Ea2dvNyxk83gj6oUV04EcIk1fl+YBzKX8qyzfN6uPR5WIERrxyWT7vPAP32ertOHxn/vgQfYsGHDjK+r50rNfDGbeVJTGSwZAyWdTrN3715aWlowzakTGLu6urj77ru57777aG9vXwAJFw792crPbFZhZqqTs6HSf+tKlw8qX8aJ5KtUnZyMSv6uK1k2qGz58rI98sgjrFq1asbHT0cvK/nzT0a1yg3VK3ux3FdddZX2oFQpS+ZXC4VCbNu2bcbHtbe3L1nrWn+2xWW2OjkbKv37qHT5oPJlLId8C6mTk1HJ33UlywaVLd9sjd6Z6GUlf/7JqFa5oXpl1+Fd1Y0uM6zRaDQajUaj0WgqBm2gaDQajUaj0Wg0mopBGygajUaj0Wg0Go2mYrhoDZRYLManPvUpYrHqbk41HvqzXTxU+vdR6fJB5ctY6fLNhEr+LJUsG1S2fAshWyV//smoVrmhemWvVrk1pSyZKl4ajUaj0Wg0Go2m+rloPSgajUaj0Wg0Go2m8tAGikaj0Wg0Go1Go6kYtIGi0Wg0Go1Go9FoKgZtoGg0Go1Go9FoNJqKQRsoGo1Go9FoNBqNpmLQBopGo9FoNBqNRqOpGJaMgeK6LqdPn8Z13cUWRaMBtE5qKg+tk5pKROulRqMZzZIxULq6unj7299OV1fXYoui0QBaJzWVh9ZJTSWi9VKj0YxmyRgoGo1Go9FoNBqNpvrRBopGo9FoNBqNRqOpGLSBotFoNBqNRqPRaCoGbaBoNBqNRqPRaDSaikEbKBqNRqPRaDQajaZi0AaKRqPRaDQajUajqRi0gaLRaJY0UkqklIsthkajmWeklDzTdRRP+ostikajmSPaQNFoNEsWKSWJlIPvawNFo1nqnE0O8k+HX+DQwPnFFkWj0cwRbaBoNJolie9LhpNZXEevpmo0FwPnkoMAdKXiiyyJRqOZK9ZCXKS/v58/+ZM/4eTJkwQCAVatWsUXvvAFGhsbS/b7+te/zj//8z/T2toKwDXXXMPnPve5hRBRo9EsIXxfkkhlcV3tOdFoLhYGsikA+jOJRZZEo9HMlQUxUIQQfOxjH+P6668H4J577uGv//qv+fKXvzxm3zvvvJM//dM/XQixLkqOnR5gx2vdDA5nqKsJsu3yNtZ01s9533Icp7m4eW7XGXbuP0/W8QjYJtdsbOWGq5ZPesx4urZqWR3DqSyeNk40VcZEc2d+e09/El+CaQia6sN6bh3FYCZFfSBcMFQ0Gk31siAhXvX19QXjBOCqq67i7NmzC3FpTRHHTg/w+AsnSaSyhAImiVSWx184ybHTA3PatxzHaS5untt1hud3n8NxPQwBjuvx/O5zPLfrzITHjKdrz+06w6Hjfdo40VQdE82dz+06w+MvnKQ/niLjeDiuRzrj0h9P67l1FENOmsZglISTWWxRNBrNHFkQD0oxvu/z/e9/n+3bt4/7/k9+8hOefvppWlpa+PSnP83VV189Zp94PE48Xhpj2tXVNS/yLiV2vNaNaQpsywTIvXrseK17zCrcTPYtx3HVjtbJubFz/3mEAEOoNRMB+Pjs3H9+Qi9Ksa4JIFYTJJ122bn/PL/+pjULJ3yFonWyupho7ty5/zzRsEUy7SMQCCGQQpLJetRG7aqbW+dTLxNulvpAmL5Msizn02g0i8eCGyhf/OIXiUQifOhDHxrz3vvf/35+93d/F9u2eeaZZ/jEJz7BT3/6UxoaGkr2++53v8u99967UCIvGQaHM4QCZsk2yzQYHB672jSTfctxXLWjdXJuZB3lOSlG5LZPRF7XBBAOWWQcj6zrkdFJ8YDWyWpjorkz63jU1QTwfEl+iAjA82VVzq3zqZdJN8uKaANnkgPzcn6NRrNwLKiBcs8993DixAm++c1vYhhjo8taWloK/77xxhvp6Ojg8OHDXHfddSX7feQjH+Guu+4q2dbV1cXdd989P4IvEepqgiRS2cIKHYDr+dTVBOe0bzmOq3a0Ts6NgG3iuB7FNorMbZ+IupogyXSWaDRIxvHIZD08z6c2Eph3easBrZPVxURzZ8A2cT0f0xCFctkSlYdSjXPrfOplynWIBUKkXGfO59JoNIvLghkof/M3f8PevXv5X//rfxEIjP8A0d3dTVtbGwD79+/nzJkzrFkzNlQjFosRi8XmVd6lyLbL23j8hZOAh2UauJ6P50m2Xd42p33LcVy1o3VyblyzsZXnd5/Dx0egHsCkVNsnYtvlbby45xzDyQyeD57n4/mweV3TgsldyWidrC4mmjuv2djKvqO9BAMGybSrmo5KCIatqpxb51MvU55DzA6R8rSBotFUOwtioBw+fJhvfvObrF69mve///0AdHZ28rd/+7d8/OMf5zOf+Qxbtmzhq1/9Kq+99hqGYWDbNl/5yldKvCqaEWZTKWtNZz2behJjKiWNd9xM9h193HbQVbwuAmaqg5Ptn88zKda3NctjnO4e5ts/3D3u+Ze11nD5umZ2H+whmclSGwmweV0TK9r0Q7mmMpjuGMlXsMtkPYSAgGXS2hQp7N/eHGXHa9143kgVr4ZYSM+to8h4DhErgOt7+NIv5LRpNJrqY0EMlHXr1nHw4MFx3/vWt75V+Pc999yzEOJUPflqL6YpSqq9bIcpHxD3He0lGraoqwngej77jvbS3hwdc9xM9h3Nms56fdNc4sxUB6ez/w1XLS8YKlPtn8m6JFMuy1tqWd5SO6GcJ8/FOXi8j6s3tLJudeOE+2k05Wa6YyRfwU4IMA3lPcy6Hp1tNYX99Jw6PTKeS8C0CJgWac8lYulwT42mWtHLC1VISfUioV5NU7Djte6yHTfba2guDmaqH+Xa/5X950lnlHEyGcPJLI8+f4LHXjjJ6e5hDp7on/Nn1mhmwnR1vriCnRBG7lVtLzf5BqZLEc/38aXEEgZBwyKtw7w0mqpmwat4aebOQlTYulircWmmx0z1oxz7h4OqUlcqPbFx4vk+rx3pZdfB83ieSihe1hLlTVdP3vBRoyk309X52VSwmw2O45FMO0gJhMt66oog7TkETGUMBgyTtOtCddUP0Gg0RWgDpQpZiApbF2s1Ls30mKl+zHV/yxQYQqgE4Qk4d2GY5149V3gADIcsrtvcwZrlMWqjOtRDs7BMV+dnU8FuJkgpSWdc0hll8AgxxQFVSsZzCRjqkSZgWmT9yb2sGo2mstEGShUy00pZ+UTN3gHViTgcNImEbJJpl1TGJZV2uf/hgyUJl9sub+Php48Rd7P4Mtc4T0rSGY9v/3A3yZSD58tC8vxEzfRmQj5RtDgpvxzn1cyOyRJ8p6ODxb+nZRr4vo8QAl+CIVS4Sf9ghq9+dwdCwPrVDfzGW9YWzp/XP8syCAdNMmmXN27tHCNnMu3w0t4uXj89CKgHsI2XNHH1htayPeRpNDOlWIddTxaq0w0lHL5+38sYhoFpCIIBk0zWA8MHCblKwgQsg+d2neF093BhDHa21ZT8PVWSvOv5JNMOnis51R1n7+FeHNejvjbIFZe1LKm8lozvYhu5JpeGScbTBopGU81oA6UKmUmlrOJEzZqIjZEWpDIuWcfH82XBWBk3gVMIJBRq7wuRv+GpiV8Ajuvx/O5zAHMyJooTRQ2hzvvi3i5MU3Dl+jZV2UY/bC4YUyX4TqWDo39P1/OREgTK2nVH9VKUEg4c6weOFowUhCAYNDGEQTyRxTZLf39fSg4c62Pnvm6c3AlbGsO88cplNNYtwRgWTfUhBF5R7xKgoKtCKK9JxLAJBpQXJb8YFA4aSCTP7z5HNGwTCVn0x9Oc7h4iGrYmnrOLyGTV4pOUcKo7zvOvnsM0IBK2SaacaRVWqSaUB0UbKBrNUkEbKFXKdKu6FCdqAkTDNgHbIJFyqauxC9vVq8eO17pZ01nPjte6CQVNaqMB+gbT+Lna+9lRXboNYeDjs3P/+TkZKMWJopZpEAwYCCF49dAF1q1sJBQyAW2gLBSj9Wa0fsDkOlj8ewLg5/RGQGtjhO7e5LjHHTzez2+8RV2/rjaAbZok0g4BO4Treuw93MuKthgX+pM8t+ssvYNpAIIBk22b2li3qgGxVGNYNFVFfg51XB/fl/i+pCRAUYIwBZmsR23UJpGCaNgqjLm+wTRCQCbrEQ3bhRLEmaxPNCzGHZOgFpSSaQenaK7ee7gX0wArl7BvmgamOfbYaibruYVFDGWg6CR5jaaa0QbKEmeiRM2s41FXExizPR+/X3yc50sMAaOj//N/lyOhM+t4BG2DUMACIchkXTJZrxDuoFlY5lokYXTib/5nnCSFpOR9x/WwTUEiPfKQYZoG8USGZ3ed5eDxvsL2dasa2LapjVBQT2eayiE/hjx/JLyrGImaOz1fjjsn54/Le2BG/w1jx6Tj+qTSTqFARJ6hZJagXVq0c6kVPcn6HpbI5awJg4xf3iIDGo1mYdFlhpc4dTVBXK/U6+F6PgHbHHd7PoGz+DjTEGNurkAhqbMcCZ2NdSECAYt01mMokSXr+EjAtrWKLgYT6c10iyQEbLNEZ/K6MpVzwzDUdcIBi3hipByqlJJU2iWddgvGSWMsxG+8+RLedPVybZxoKo78GDJzlvpo1c8bLaYhxp2T8/Nu/vjRf8PImFTjw2E4kR1jnADURgJ4cxjP1UDGG8lBsQyTrA7x0miqGn1XX+JMlMx8zcZWXj1wfkwSfD5hvrOthn1HewGPSMhiKPewGLCNkjAvX6rcgms2ts5YNt+XZB2PrOOxqiM2bt3/y9c2zfKTa+bCdJLgJ0uiv2ZjK8+/eg6X0oeigG0gpcS2BI5b+iBlGoLN65oYTmRZu6qeC6+mwPWQQCLpFlaOLcvgmg2tbLykCWN0fdZRnOqOc+BYP1nHJWhbuvO2ZsHIj6FgwFB5e6PdKAKkLwmGLdIZj4Bt0B/PYBqCgGUU5W35pDMuwYBJIuUTDKgx5HoqdOzay9sYSmbx3LGGST4xvm8gieNJhHCRUlJXE0BKJiysUo1kfRfLUAtalmHoKl4aTZWjDZQlzkTJzACv5pLgpS/xIZeIbpBIZdl3tJdNa5sKFWMa68MgJVnXJxSkUMXLtmZWbUtKieP6ZB0PN+clAWisD2GbUBwpZpvQ3KCTnReDqZLgp0qib2+OFoyQfCiLYUBtNEg669HeXIOUPmfOJ5BS6d3GNY1cs7EdKWFFWwx3s89Le7pJpEbCvNYsr+Paze1Ew/aUnyGfGBwKGERCNsNTJBVrNOWkeAx5XlKFq+YGg+/7hSpeoaBFMqnKEceiAYaTWZIZFSIZDhpkXUk8kaWpPsyWdc2FObmpLsSV61uoj4UmNE6e23UW35d4vgqfzJfptkyDN2/tXFLjIOt5IwaKMHSSvEZT5WgD5SJgvGTm+x8+OG4SfDLt0VhnAx6nu4d5763ryyKD70syjsorkf7Y9/ce7iUStrGKewYUJUVrFp7JkuCnSqLf8Vo3NdFASQ8Ix/UIBy0+/K7LS84lpSSVccnk+jRIKTlxLs6Le7oKHeNj0QBvuHIZy1trpi3//qN91ERtIkGbTNadMKlYo5kvplPM5P6HD+L7PrZlYluQTLtIfEzDoLYmBIyMnfxCkJSSREolwo+X15VMOzy36xzJlFvitDENQWNdiA+9c9OSKyaR9V2sXFEOXcVLo6l+tIFykTJREnwhjKYMCZR5b4njehPeSPMUJ3FKqSreOJ4k0Z/kB784RG3U5j23rMcydU5KJTBVEv10k+xHVxyKJzI8v/scZ7qHAfVAdcVlLWxZ14w5zd9eGCoHxvN9LFOUeGCWWmKwpvoZPVamSobPOh6pjIs/Tq5Jz0CKfUd7OXZ6UC065QjYBuGghWkKfCmXnHECeQOlqIqXDvHSaKoabaBcpBR3OTYNUbiZ5RMw55JA6Xo+Ti63xB/HWzIaX0oVJpRU+TCOW2rMDCWyhco0lq40XBFM1SV7Ol20HVc1kfM9FU+/93APuw9dKDyYdbbV8IYrlk27C7xpCgK2STCgSqnaljmj7vUazWIweqyYhuqdMjoZvqUhTDLtFDyNeXwpOXVuiNeO9pSU7xZCNXuMhO1CrpbretTXLs2w2YznYRUlyQ856UWWSKPRzAVtoFykFCdBFyfBR0IWjutN2pl+PHxfKqPE9XDHiYcuxvV8egdSdPUk6O5Ncr4vWWheNpqWhjCrl9WxbnU9wYC2TiqFqZLop3o/k3ELDT/PnB/i+VfPFap2RcM2121pZ1VHbMqVXsMUBGwD2zLHeNemk+iv0Sw2o/V0dDK8EBAOWly2qqHEOMk6HodP9LPv9V6GkyNewvpYkMsvaSIQMHhpbze+7yOEgef5eD5suKRhET7l/FOcJG8bBhlPlxnWaKoZbaBcpKzprGdTT4Kd+8+TddSNMRQwkQii4UDhIe7+hw8yOJxRZYRzSfIBy8AwDXzfpzEWZv2aBhzH49VDPcQTWWojATavayrkjmQdj/N9Sbp7k3T3JrjQnyp0py9GCLBNA4RKpr5qQzMr2+sAco0aNZXCaP0J2KpYQnETx9q95zjdnSgc01QX5NWD53l+9zkMIVjTGeN09zDHz8QB9ftHQjYSyf7X+zBNMWH+kWkJgrZJwDYnNGKmSvTXaBaLfAW83oEUni9xXC+XxE6uwSkIIfB8ZVTHs1leOXCBzet86mtC7Hu9l8Mn+ksWdjrbarh8bTMdLVFOnx9i7+FeHMcjA5jCpz4WYvO6Jpa31i7eB59Hsp5L2FTFMyxh6ipeGk2Vow2Ui5RjpwfYd7SXaNiiriZQWF3efv1K1nTWl1RpEsDgUBrTMIiEDFzXRzo+lm1woT/ByXNxkJJg0CRoGySSGZ5++Qwtjf0kUw59g+lx+6hEQhZZx8O2DAIBE+n7+FLwhis7dGJ8hTOe/uw72kt7c5Q1nfX89FdHS4wTQwgyjk/fYBrDgGTK5cz54cL79bVBMo6HZYJpmqTSWZ5/9RxcSUEX8rklAXust2QippOkrNEsJPm51fMl6YxKYi8OaTUMQSRkYVuCgXiWYMAgFDQZSqR54sVTJX1OLFNw6coGNl3SRF2tCl3MV68zDYhG7ILnpHjRaCmS9T1qbVVUwDIMHN2oUaOparSBcpEyVRWmXQcuEA6ZhAIWQwmHSEjd6BIpH8/38aXESAtiNQEyudrAUggc1y14R051DRWuJ1ClhNuaorQ1RWhvivLES6dIpbMjlbtMQ1fuqhKm0p+Dx/sL+wZsg3DIJp1xGU56hRh7UCvFN169nEMn+pHSL+iCZZngehw41s+a5XUFw2QpJvdqLi7yYyeZdhGGQHr5sSAIBU1s2ySbcRlKqHk1nfHIOH6JYRIJW2y6pInLVjWOCX3de7gX02DMWFrq82rWK+6Dohs1ajTVjjZQLlLylWOEUCt2piEIBoycEZJlOJXFMgTJjEtfPK2qfEkKTR0R4PqSgXimsPqXyZauWBmGYPOlzbQ3RWhtjGCP6jZfXLkrj2kaDCWzaCqbqap05UNVIiEb0xAMDWfIR/XljZNgwMA0DS5d2cDOA+cLumCZBpZlYEcCpLMutVGd1K5ZOuTHTr56omkKggELyzLIZF0GhzIlXed9CeSME9MUWKbBe29eP2GT0vHmVcsySKYd1Y/IXJpGftb3Rqp4Ce1B0WiqnQUxUPr7+/mTP/kTTp48SSAQYNWqVXzhC1+gsbGxZD/P8/jSl77EU089hRCC3/md3+G9733vQoh40SClxPMlbU1R0lkH0zDwPR/Xl2SzLrZlkc2qGvzJdBbTNDCEuknmDRFZ+B8Up5LYloFtqYdLpE8kHGTrpokTkmsjgVIPCuB5PrWR6VVt0iweU1XpCgZMQkGLdMYlkSp9UDBNQTRsI5CEQ+q3ro0E8DyPaCQAUuJ6kqFkhkhI64JmaVFXEySVdggHTSzLQErlJSkuhz06JDZgG4SCVmHMTGScgBpLrqs6z5uGwDANPN8nGLCI1QYnPbaacXyv1IOiDRSNpqpZEANFCMHHPvYxrr/+egDuuece/vqv/5ovf/nLJfs9+OCDnDx5kkceeYSBgQHuvPNObrjhBjo7OxdCzIoln1A5Oll9oqRfKWXO26H6ieRfXc/H99R7q5fX8vyucxjGiNfCcSSQ4Z8efI3aiM1w0i2pxT8ayxRYpsD3QSAJhUxMM1ctRgo2r2ua9HNtXtek8gxcL7d66JF1fHw/y2MvnGDzpU0YhsGh430kUg6GYegk53mkWM+mSijfdnkbP33qGJnsSE+RYMDkrdeuwHE9Ll1Rx/7X+xitPoaAWNRWjTuzPqbh8OMnj1ATthlyXIaTWQwhylZxayafSaOZK6OT32Wu54jvq/DFoG1SG7UxBAQDFvHhDO44/UyKCQWNQohtPpdkNGcuDHHkxACpjDJMXMfF833SGZ94IovrSZrqw5w4O7hk9b/Yg2IZhjZQNJoqZ0EMlPr6+oJxAnDVVVfx/e9/f8x+P/3pT3nve9+LYRg0NjZy00038fOf/5yPfexjCyFmRXLizCDPvHIGyxREQ5aKWxaCWNQGJC/sPofr+bQ3RwvJllLKcbu1F9PZGuP6K2H3wR56B5J4Rft7nmRgqDTMyhAq9AZDELINDEPgeLJQsQtU7PNQcmwVr9EIVaiLVcvqCAUsDp3oY2AwjWWqG3EoYJJ1XJ595Qyer1YPTdPA9Vwef+Ek22HJ3mQXi+KiCKGA6h8y2Xfd1ZMoCemzLYOAbXLuQoJw0CaecMYYJ0JAXU2ArCsJWgbhkCAaCRS6YqfTLpFIgHTWK4sxMdPPpNHMhdHJ78IQGEIor3IuHNJxPAaHJFnHIxSYuNCDZQgaG8Isa4nS1ZMcM6/mF5Ysy+Dc+WFe3X8eKdS8OpRwSWc8TMdnOOVgGIJYNIDv+0ta/0s8KMLUIV4aTZWz4Dkovu/z/e9/n+3bt49579y5cyxbtqzwd0dHB11dXWP2i8fjxOPxkm3j7VfpyBIPB+Qd+76UeJ7avuO1bhWWJQWD8TSuL/E9yXAyS11tENf1eGlvN7/+pjXTumYi5RT6j3T3JhgYmrirtmHAm69ZQXtThEjYnvLcK9piKnbaUM3GhBAYuZu0yJXNNE2BaYzcmOtqgly2upH7Hz6I62cRuWpPIBhOqQo3kbBqLDY6EbuSqHadnCrpfTQ795/HMCBoWypJV0oSaYcX93ax6+AFUrkeJ6YhiIYtbNvEdT2CQZu73rKGp3eeJj6cwXF8JOphKxSyCActPvyuyxflMy01ql0nq42d+88TDpmk0h51tUE8X83vWccnlc4VFsktzpimwWDCKanetawlyqa1zXS21YwpBiFQpbUDlgoLM4uq2O14rRvH80fpOSRSLg2xYEkYZiXo/3zpZbGBYhsGrjZQNJqqZsENlC9+8YtEIhE+9KEPzfoc3/3ud7n33nvLKNX8kXU8fClHjBFf5vI5JPhjY41H0zOYImgb+NIn4/jkw4fzoVeTJZVLKRkcztLdO2KQFDf0Go1ArXLn8X24pLNuUvmEkUtqNo2C8TGbGOfxkq4L31MRxYnYlUQ16eR4TJX0PhZJLBJAAqmMi+N4BY9JKlc9Jxw0CYeswsNWJGyDgFg0SHdvkqBtluhbuX/bmX+mpUW162S14Hk+ruuTyboYhkE6m1Hbxnk+lj74gKdWpDANwSUr6tl0SRONdaEx+xumIGgb2LZZsrBTzER6nnU86moCY7Yvtv7Pl146RSFepjDwpI8vfQwxvZLkGo2mslhQA+Wee+7hxIkTfPOb38QYZ7Lt6Ojg7NmzXHHFFcBYj0qej3zkI9x1110l27q6urj77rvnR/A5kM64JeUhZ0pxIrlpCPzcA7uZMwKKk8p9X9IXT9Nd5CFJZ8feJS3ToLUxXCj5++gLJ/A8iVH0tOhLiT2qEkw+rCBf9cvMGSblYLyka0Oo0sXFFCdiVxLVpJPjMVXSex4pVXhKJGQznHTwPF+FFRbts7K9llTGJeuocETbUgm+2ayLldOfWHR611uIz7RUqXadrGRcTxkkrqc82gpBIpnNeb/HP66wp4Bo2Oadv7aWULD0Npzv92NbJrY19fw6kZ4HbBO3yLOS377Y+j9felnsQRFC5Hqh+ATLdI/SaDQLy4IZKH/zN3/D3r17+V//638RCIxfmee2227j/vvv55ZbbmFgYIBHH32U++67b8x+sViMWGzp1nMvpjiRPBS0SOQ8IKGgieO4OK6kucHi4WePc6EvWdJZOE8wYNLWGFEGSXOEprpwiZdj86XN7DpwAR+JQN1EDSG4cn0Ltp33jhjTulnOlm2Xt/H4CycB1dXe9VTHeoTAcUe2lSNxej6odp0c7/sv/q493yfreGSzHr4Pq5bF2HXgwpjzrOmM8dZtKznVHefFPV0EAya2qR7cso7P9uuXTet6C/GZljrVrpOVjOf5ZLOlc21+rg7YJsn0xD04AraaS99wZUeJcSIMCAdUOORMvNAT6fk1G1vZd7R3zPbF1v/50kvlQRm5R9m5XihBU3dT0GiqkQUZuYcPH+ab3/wmq1ev5v3vfz8AnZ2d/O3f/i0f//jH+cxnPsOWLVu44447ePXVV7nlllsA+OQnP8mKFSsWQsSKZUVbDK5UCejxRIZo2ML1fBJJt7Aad/TUYMkx0bCtmiE2Kw9JXU2wEGZzqjvOw88eZyiZVQaAlGQ9STRs4Xmq4kw0bLHxkka2be4oW2O8qaopremsZzuU7PNr29Rvr6swzT9rOuvZ1JNg5/7zKoE3aLF1UyvL22oZTmZxHJ9f7jjJ66fjE55j9bJa3rptJQArO2LUhG1ePdRD70CKupogb7pm5Lcb7/cu92+7ENfQaPKsaIuRuMwZ13DPk18Acl2fvYd7EQJWdtQRzDUincowmWgenUjP25ujF4X+SylxfQ/LGPEW6UR5jaa6WRADZd26dRw8eHDc9771rW8V/m2aJp///OcXQqSqIJl2CqFaWccjmZq8M+7Kjlqu39JBzQR9RE51x3n+1XOYuUTNwaEMAcukPhbAtk0c1+eNVy1j9fL6sn6O6VZTWtNZP+7NcyneUCuNY6cH2He0l/raAKGAhe9L9r/eRzhk0dkam9A4EUCsRhVQ6BlIc/p8nDXL64mEbOprQ1yyomHCa070e5eThbiG5uJGSsm5CwleO9rD6e7hyffN/T9WE0QIyb4jvdSGA6yeho5ONY9ONHdeDPrvSl8VZSlaUNO9UDSa6kb7PisEKSVDySzdPclCUns8MTb5PT//SkkhYV4IlZtyricxoXECygtjm4JQyCadcamrDaqyl8MOsRoVSvXS3u6yGygXezWlauDVgxeI1QYQEtJZD9fzcV2PPYd66WyNTeg5kVBotBkQkhNnh9iyrnUBJddoFgfX83n91ACvvd7LQHwk8dw0BLYlSGfHhtuahiBoW9REAjiuTzLt8NJr3dMyUPQ8OjGu72GL0kIBtqG7yWs01Yw2UBYJKSX98UxJha3x4pZNQ9DSEKatOUpbU5TWxjD/56H9GLmyvXkE4DgTNz9RobmSulgQz1N9J3xfliQ4z1eFl4u9mlIl47g+jusRz/0Wxbm9pmkQT2T41cunJz2HAMIhC8MQnO9Nzp+wGk0FkEw57Hitiz2He0p6AbU1Rbh8bTPP7zlLKGCSLmpiahjK62HbJum0W5jrZzIP6nl0YrJFCfJ5lAdl8qgDjUZTuUzbQBkYGOAf/uEf2L9/P8lk6UPIeInsmlI836d3IE1XT4LzvUm6+xJkxzEoApZBa666VltTlOaG0JjykrZt4Lo+xdHKMrd9NKYlCvHN+c7FtmWWGCb5imDzVeHlYq+mVGmo3gweGccrVCCyLLNQLQ6UAZ1MO2SyPkdPDUx4LtMQ1ERtPE8ylMhSG53Yg6fRLAXuf/ggvYNpQBUTWdNZx6a1TTTXq35N+17vJZVW3m8hIBS0CNgmmYzL4FCmpLT2TOZBPY9OjON72MYo400YZD3tQdFoqpVpGyh/9Ed/RDab5dd//dcJ5xrnaSbnzPkhDh3v59yFBBf6k+OWGw6HrIIx0t4UoT4WKomjHY/L1zaVVN1SJS0lZNM8+OCL2LV1GIEAQgg8z2dwOJtrGubjepJRrUXwfElPfwpfStIZj/sfPlio9DKbBMviRM78jTnf0bgmbGOaoiKqyVxsOK5H1vFwsv6Y/jub1zXx9MtnGEo6uaahIwRsk1jUpmcgXbLdtgwiYZuz5xN4vipTHR/O8jf/tCNXJlUwnBxZwWyqCxIJBwr61Bkc5tSpPuKeTcx02LapmUu2Xj1Pn16jKQ/1sRAZx2NtZz0bLmkkErJ55cW9/PysgyMt5VJELQyFQhaOozyU+Xk3YBsqqdvzGU5kGUo4/M13d4AAyxS0N9fQ2VbD6e7hkbHSVkMq7dAfz5TMo+mMhyEcvv3D3Us6CX4qHN/DFGM9KDrES6OpXqZtoLzyyis8//zzE5YI1pRy5GQ/P37i6JjttdEA7U0jJX9rI4EZV8q6eoN6sH/taC+O42MgqQn4RAMmCRkmkXAwEg4pV3lJpFQ9TOQkjSE9XyIE2JYgkcry8DPHQUpCIWvSxPbRFCdyCqBvIAVAOGCQdSXxRJam+jC/tm35RXkjXQwyWZdM1puyH4/0feQo46SjJcpbt63gwkCSJ144iZd7Pxy0sG2DVMrBVR01cQo9eiCT9ciMSqHqHczQP5ShuT5Mf98QpzM+EQJEhEPCM3l8zyDwijZSNBXNHdsvJZN1C0VLXnlxL7vO+IAJAkwhCIdshCEYSmTxi5qi2JZBbSRAOushfYnjShCS/BqT40rOXRjidPcQ0bBNJGTRH08V/o5FbRIpl3jeWyklvpQzmqOXIuN5UGxh6BAvjaaKmbaBsn79erq6uli5cuV8yrNkiEWD1ERsAnauB0mu5G8kZJfl/FdvaOOaDW08+ehLOFhIx+FCMoDrZ9VNSxgYplkI4TGEgcvEOSqmKUBCMu3RWGczOJxFALUzTMgsTuQcSqQRhjqv40FTfRjH9QgHrYvuBrqYZJ3JjRMpJS/t6SLryZKwv1DQQEoVorL3cC81ERvLMomELIYSWYaSWQxh0NIQ5nyfCvsUgBAGTKBrvq9ypzJZF4EgKwJEcbGFBOmzY18Pl2wt7+fXaOaT1846CAykMAgFTIJBi1TKJet6gEAIaG2MAMqLGQ7ZfPjW9fzt919B5BaOinE9taCUyXpEwzaZrI8Q6u/GuhChoI3jeiRSLtGwpZPmgaw3NgfF1EnyGk1VM6mB8oMf/KDw7ze84Q187GMf493vfjfNzc0l+73nPe+ZH+mqmNamCL/z3iuJD2fm1El+PAxTELQNArbFQEpiegkEAocgBhIpQErBTPwy+fr8Xm61z/flGM/OdBIyixM5VdhP6Xl1UmdlMRBP89yrZxkcHnF3REIWoaD6DYeS2cJryDaIhmyEgHjCQQBezmuSD1+ZrqZ7UiCExGPkocISPnGvPAa8RrNQONIkYEE4HMT1fIaGs/j5JD9BSUht8fyXdTwMMb4pLxiZMz1flvydP0/W8airKY1ouFjn1/FDvAxdZlijqWImNVAeeOCBkr/b2tp45plnSrYJIbSBsgAIQ4UHBCwTyzIKxkNEZkhIE1tITHx8VPNFIeS0HxZhbMK8YYw1cKaTkFmcyGkaqvxx8Xl1Umdl4Lg+rx48z94jPYUHKMsU1EQDI7+V61GbK1tdVxNEOdkkmayPaQg8Xxb2FbkHsekaxaaQeFJgipHHM1caxEynbJ9Ro1kIaoICy7YZTjm4+RjInHECTJgUH7BNHNcrLA4VIxmZM0ePtfx5AraJ6/k6aZ5cF/lxk+R1iJdGU61MaqB873vfWyg5lhzHTg+w68AFhlNZTMNg87om1RV+hpimIDBJl+Ftm5pV7L70CYsMQzKMQBC2DNKeLDw4+tIf90YIELQNHFfdWCMhC8f1CNom0nPJ9p3H8rK4ZgAvWMO2XHf3idh2eRuPv3AS8AqhQMXn1cnxi4uUkpPnhnhhzzkSKWUM1EYDXLqyjv1H+4gPZ/B9FWISsEyu3dIEwLWb23j65dOq74lpEAwYJFI+wYCJlJJgwCSd8XI5T8VrwrLoYU2oXCgpCQYsEhmfgMwihcSVBh4G2zZN3NhRo1ls8gVAPN/HMAyuXt/C1asCPHM4o4qVCFE0yfogDYI4+GnwrGDJ/HfNxlae332O0ROzZYLnUzS2Ssea6/l4nuSaja3sO9oLeFimUdh+Mc6vju9hjfag6E7yGk1VM7Yu7QTceeed425/97vfXS5Zlgz5RPFkOkvQMkilszz/6jlOdY/f7G40woBAwKAmYhOrCRIKWuMaJwCXbL2a7VvqiJoeSGgykjRETaxQgMb6ME11ISIhFaccCprEagJYpoqLtkxBrCZAMGjRWB+msS6ERBANB7jlUskt6V8R9ZNkjBBRP8nbEr9ilXNyUtnXdNaz/fqVRMMBJIw57/brV1508dGVwlAiy6PPn+TxF0+SSDmYhuCqDa3cuf1SmurDyvOGesYSAFJiGIJI2GLtigbesm0F0bBK8G2IhXnDFR00xEKksx4tDRE2rGkgGDDxJQRNqPGGRowTCY1eH8tqhTq+sZY3rDZpMLNkpEXU9Ni+pU4nyGsqlvy8nkhlCQZMTCF5dtdZmleu4vpVJkHhFbkRJUHpsV6cplkOkBkeJkK2ZP674arlvOGKDgK2WRh3tiXoaKktGVujx1p+Hr3hquWFubZ4+8U4v2Z9d9wclIz2oGg0Vcu0k+RPnDgxZpuUktOnJ2/idjGSTxS3LHXjsSwTXI+9h3sn9aJYliBgqWZeExkk43HJ1qvLnljs3f9XYAyw2t4xstHJIHc8DGuumPTYNZ31F+VNslLxPJ9dBy+w++CFQhz78tYa3nBFB7FcOMjew70EgyZRaySm3TTg+Ok4my9tAWb2u3r3/xW4A2AXhZs4GXDqMd/7x4VNN8zto2k0C0ZxAZBMVvUQkkh2vNbNe2/dWtBl7/6/gsTA+LrfWTpR33DVcm64avmsZdJzrWK8HBRbe1A0mqpmSgPlT/7kTwBwHKfw7zxnzpzh0ksvnR/JqpjxOv6aplFIOC7GMAUB28C2TCxz2g6t+WewB0KR0m1WQG3XVA0nzsZ59LnjhST4SMji+i0drFoWKymCMJTMEsw1+ix0hheC7r7E7C6s9UezxCgpAJJvcDpeUrrW/QUnO16Il/agaDRVzZQGSnFZ4dElhq+55hpuu+228ktV5RQSxe0RI8Xz/ELCMaiu70HbLNmnoqhrHrsK6GbVdk1VcLp7iB/+4hCgwkc2rW3i6g2tJUm1eWojAVJppbPRkI0vJUPJLLHoLBNutf5olhjT7uQ+nu4jte7PI67vYRpjGzUOOekJjtBoNJXOlAbKpz71KQCuvPJK3vzmN8+7QEuBfKK463rYpoHrevgSrlrfTDCoEt4rylsyDmLbrcjH71N/WAH1cOm5iG23Lq5gmmkTsJSuNdWFuG5LB411oQn33byuiRf3dBEOqGIG6ezcChqUS3+klJBNI4LhWcmh0ZSL4gIgkyWlj9F9OwjC0HPnPDKeB8XWZYY1mqpmUgPlueeeG9nRskr+LuaGG3QkeTFrOuvZDuw6cIF01qWxLsKV65tZvbx+Rrkls8F77sew8xeQTUMgBNfcjHnDuwrv+8d2qzySwR6oa0ZsuxVjnJwSY80V+NuZ1r6jyVe6GRzOUFcTZNvlbTpOehFobYrwyQ9cxXAyi+tOXnR6RVuMaMhi96EeBgez4/5u09UdUPrz+lUeO/b1EHdtYqbDti3NXDKJ/pScv74FVm2Gs0dguB8iMcRVb5uW/mk088Gaznre1n1M6bSndHpru8/K5x7GGzUmCnPn8AC4DgTCyB0P44OeQ+eBrOeOU2bY1GWGNZoqZlID5c///M8L/xZC0N3dDUB9fT0DAwOA6o3y2GOPzZ+EVUo+edH1/AXzlnjP/Rief1DF8ximSsx8/kE8wLzhXeoB8PH7wLRUjHRiAPn4ffjbx79pGmuumDIhXmYz4KQR0TpgpNKNaQpCAZNEKsvjL5xkO+gb7CIwutnmRIRDFmvrGlm7snHc92eqO8dOD/DEcROztp2QaZD0fJ44LhFtA+PqQcn5a+qU7r70M1XvuL4VkoOTXk+jmW/8Y7tZtetfWGVayjOSHIK9gxCNQSQ2Zkx4QsCzD0C8F+zQlGMmj55DZ85EOSjag6LRVC+TGiiPP/544d/f/OY3GRgY4Pd///cJh8OkUin+5//8n9TX18+3jFXNgoZy7fzFiHECIEzwPbX9hnepFT3TGomNzr1OpzLXaKSTgXQS3AyYI92/iyvdALlXjx2vdeubawUiBETCNoEpcqFmqjsz1QN1fhtq6pVRcu51yKTVv/u7VPy+ac1KVzWacjBmDGRSagBlUhCtGzsmdj8FfeeUNzs1BC0rSt+fAD2Hzpys51Jjl+YCWYapDRSNpoqZ9tPzP/7jP/JHf/RHhMMqFjwcDvOHf/iH/O///b/nTTjNDMmmVROVYoShtoMKnSkqIwvMuLqMdB3k8EAudCEz5v3B4cwYo2zcSjeaRUcYEI1MbZwAM9adGevBUD/EmsDzIN6vjBOkMrBTw5BO6EpImsVl9BjwXDWIisOIrAAMD+AP9cHxPSNzb22jMmamocN6Dp05qlFj6Txm607yGk1VM20DJRKJsHv37pJte/bsKRgsk3HPPfewfft21q9fz6FDh8bd5+tf/zo33HADd9xxB3fccQef//znpyuaJk8gBCVdvFF/B3LJ0XXNKlm5mGlWVpKei0zEYagPHPXwKH0feeoAcu/TSFd1Ja+rCeJ6pTKMW+lGs6gYpqAmEhi3ote4zFB3ZqIHUkpoXaFyTYb7Id5DSWvtSEytUOsqYJrFZPQYMC01v5pFgQjSh8YO5ANfH9k3XANNy9S/p6HDeg6dOVnfG9OoUXtQNJrqZtqNGj/zmc/wsY99jO3bt9Pe3k5XVxdPPPEEn/3sZ6c89u1vfzsf/vCHufvuuyfd78477+RP//RPpyvSkmOiJOSpkpML7/s+x81lvBy6irgZI+bF2ZrZxeo1y1XzsN6zHHfreTl0JXGjlpg/xNb0LlanzuD90+fUybLpwjUA5J6nIDEEtg2XbcNYsR7/6C7Y+SgkBkcMovpWxKYbpl3pRjP/vP7yK+w61E/SCCMySbZc2sCKyzdhWoKacGBMwYbJ9Gy8qlzHs3W8LDYT/8cnCwnDqwd2w2AP10Qv44nsOqSbwcLBxcazAlzT9Sze37yujOZLrlQPbPE+yCTUqz9qxTMUVTkorqOryGkWjPHGgth2K/KBe5VXr2RnD86fUiFe4Rp4fRdIiQSeDV/HnvAWzCFo9AfY6h9gzbabJr22nkNnjkqSH13Fy8QZPZ9oNJqqYdoGyp133snmzZt5+OGHOX/+PGvWrOH3fu/3ptWocdu2bXMS8mJgoiRkb9Nx2PfMhMnJxccdj67lCa7ElB5BmSZhRHgi8hbedvolVgfiHA+s4InAVZjSVe+LME9E3szb3JdY3XdUCVLbqBKSn/yXnEdGgutCIgPP/H/4wQgMdJcKHwghc6uI+QpmugLN4vL6y6/w+J5BgpZJwHQZ8k2ePzxEMHiYdVdvHt84mSQJfnRVt+P2Cp6wL8eUkqBwSbiCJ07ZvM0TrA5HWN3zMm/jVKmxHH+G1c4plWsiparQ5brgOZAeHhFG5BLjV10OXcdUwnxNA+KNd+oEec28M9FYwPPHGid5hIBAEAYvAOBh8MvIG3kttBGArBT0ixhPRN+CYa9kzSTX13PozBm3k7z2oGg0Vc20DRSASy+9dF47x//kJz/h6aefpqWlhU9/+tNcffXV4+4Xj8eJx+Ml27q6uuZNroVgoiRkdv5CVYmZIDm5+LiX05di4mPjgTCwTRNcj5eNjay2d+Xe99T7CPUqBS8bG1gtXgeEygFobIcLZyA+AHUNKgk0nVCx1qkhJYcQEIyoFe5QVBlR668FRiqYXUxUmk7u2NeDiYktDAQC25CEwgH2H+ll/daxlb2mkwRfXNXt5e/9AlNKbCEBgS0dkCYvG5exWuwCJ8NqTimDBEEhZEsIFa4lfVXdqDgkUQiobULc9fuI4tVQw0TUtZT3C7oIqDSdrBYmnIsHJ/juDFOFIQ73A+Bg8kT0zRwJrEWg1FoaFlnDpjZoTyvZfSnPofOhl1nfwx5dZtgwcLSBotFULZMaKP/1v/5XvvjFLwLwx3/8xxOWLP3KV74yZ0He//7387u/+7vYts0zzzzDJz7xCX7605/S0NAwZt/vfve73HvvvXO+ZkUx2KNW64qxAoWQqzHb84mWRcfFRQ1BmUuklOqB0MIlbtSMfR/1YKner4VAGEI1arV6KJcLgIS+bkryAUA9YAbDIwn5lq0eNi9iKk0n455NULiAgWEIopEgnuvQM1Fj5Yn0b4KE3pHz5+YEKZUuiZqJhbICEKlVOl3sMUFAOGfoZrOlxgkCjBmto2hyVJpOVg0TjYXxEAYEowXjBOBnNbcwbEbxhIlAgpQIAZ4vdbI786OXju+N6YNiCgOB6jI/+j2NRlP5THrn7+zsLPx71apV8ypIS8vICumNN95IR0cHhw8f5rrrrhuz70c+8hHuuuuukm1dXV1T5rhUNHXNkBgYWa0DFZ8fCKnX0dvzRkvRcTE5TIIwNq5atgNcLGK+ehgseT/3YOkKm5hIqesM5XIA0sOMGCXKkCEYVoZINqNei93pnqcqMF3EVJpOxkyHhGdiA6ZpkE1nSWY8YuYEK4oT6d8ECb2F84sRz4grTWJyeJy9hTJMhKF0TI4yeOtbwTTV9WpzCxLCUDppBxG2Tg6eDZWmk1XDRGNhNHkvcqrUG+AYNq4ZwMTHz82zEjANoZPdmR+9dMbpgwIqzCvjaQNFo6lGJjVQ/sN/+A/09vbS1NTEpz71qXkVpLu7m7Y2lQS4f/9+zpw5w5o140fqxmIxYrHYvMqz0IyXhIznwjU3q/CpUdvzycLFx20VR3iCq0CCZUhcKfAMi63OfnAype+b4GLiYXB95kVIXBgRJu8WL4Rx1YD0lCFy+Y1wZCeYvlo5NE21Qnj12xfmi6pQKk0nt21q5vE9g6RdH5lMk3YkHgbbNo31SMLE+jdRUnr+/EgfS/i4wsLDYKt3SBkgdlB546yA0p/UkMo1GY0dUr1O3Kzq23PNzSpcJhBCjPPAoZk+laaT1cKEc3FNIwz35fdSXudiT6BlgzDZarzOE/IqAjJNyggjhQm+JBi2dLI786OX44V4QT4PxSXKBB4wjUZTsUwZO3HjjTeyevVqrr32WrZt28b1119Pe3v7jC7ypS99iUceeYSenh5++7d/m/r6en7yk5/w8Y9/nM985jNs2bKFr371q7z22msYhoFt23zlK18p8aosNcatErP97vGreLWvnrC6UnHy8urBbt5m7+Nl1hKXYWzpYPo+T1jXEnOH2Oru4201R3hZrmHIs1nnvM7V6d1EnKFS4YShbsx2ELJJGDivbr41DXDmsCqZKaVaDU8nAYl86ef4Uuok5grhkq1XA6+wY18PcccmZrps29SQ2z6W0Unw1DVz4pKbePlQkMGdu6mrCbK1Ocmq1x+FwR5W1TXztroVvNwXJS6ixGSCreFuVvefgOG08rhF6iE9VPRQN4r6VlUhLhFXnpONN2BuGOsx1WjmiwkrJ44aC0Tr4VhRmX07CJlk6ckCYbCCrB4+xNvEIC9HtuKbEXzLxjQEDbHQhMnux04P6KT4OeCMU2YYwDYsMroXikZTlQgpR8dblNLd3c2OHTsK/x05coSOjo6CwXLttdeyevXqBRJ3Yk6fPs3b3/52HnvssZLQtEqkpEpM8Wr19rvL9oB/9BcP88QpG1N6WMJTK9zC4u2tA6yKZpEHXyyJmyZSC21roPuEKinseZCMqxXumjr1t+uoXIF88zykyhuYp89Q7VSTTo7m2OkBHn/hJKYpsEwDJ5XCSw7zNl5ltTWgdCMRV/lIkVpIDqmy09GYCveL96lmnqPzl6wgxBqVLrkO1DWph73UEGTTWn/mmWrWyXIz3XnYe+7H8PyDubBZAwxRGvIlDLV447tqTIQiEAxPW5dHj7V8WeHt16+8aIyUuerlJ57+Fz656dfGGCn3HXmRj224kZU1jeUSVaPRLBBTelDa2tp4xzvewTve8Q4ABgcHC8bK1772Nfr6+ti/f/+8C7qUmE7FpLny8skspjCxDQkYdLjnWZs+wvK+U0iKKid1XILYcD2s3Ih8+B9VqcxQjaraVdeibsRDfcpAQapVw8Y21elboMoSz9Nn0CweO17rxjRFoZGjnVFx9i8b61ktXlSV3YRQr9GYerWDyh65cFqFd+URxki1LsNQOjPYCzINvWehoU1VQjItrT+aBWPa8/DOXyhdF6aa84qNEyugjPT0sBoDoF4jtdPW5TFjzTIBb1rVvjTgSx9f+pjjFPHRHhSNpnqZUXmcAwcO8NJLL/HSSy+xc+dOGhsbueWWW+ZLtqXLDCsmzYa4WUtUJlmdPs66zBEa/MGRNwMhuPQaxIbrisq3CqT0ob5NrQT2d6ucASnVq5lLjM9P9r5XKOA0X59Bs3gMDmcIBYpiul3VCC0uc3rruSP6YNoqvCWTUMnFo7ECYAdGCj44adUtXojSMsNafzQLyXTn4WxaGSf4qm9PnmBUhTIO94/Mi+R0ega6PGasga72NQPy+SfjVRkNGIY2UDSaKmVKA+U73/kOL730Env37mXlypVs3bqVd7/73XzpS1/SCZizZYYVk6aLlBKyGWTX67xl+BlWZE8SYGRy7jEbOB5YxbXvuQNhBQCRe7gMKlkitarRmB1UBkj+4VHk+lhIqVYcQa14j74flOEzaCqDupogiVS2sKqLZeF6EDNycfemhSoPXKNKTCeKwgXz4TKmBeFaZZgkh3IPbFKtOJtWzvAtmoK0/mgWkunOw4EgONmcFzlHTa7YxFDvqKp0UhnuM9DlMWMNdLWvGZD1xk+Qh3wVL22gaDTVyJQGyl/91V+xdu1aPvOZz/DGN77xoo9bLgfTqZjkPfdjFVqQzTWukJIx8fyGCZveiLH9bmRqCA6/jNz/PHQfZ21uFxeTE3YnBwLrOG+38jZvJ/Kx+5BSgGWpayfiKhegc73KQRnsy1Vcyt1swzW5ZHiUEeNkIBhS7+crNU1R9Umz+JToVCAE19yMecO7Cu8XJwxfE72MJ4wrgaDKQQnG8BJDbB3eAfQqwyOTVJ6QMRdylRFi2ZBKlOY6BSNKl4NhSGTVq5RafzTzyrhFSYrn4eFByOZCtPq68L76UfVvYVBYnMn/Xdug5r3UeCW1UTo9A13ednkbj79wEvBKclAu9mpf0yXruxOWEbYNk4yvDRSNphqZ0kD55S9/Wcg5+d73vsfQ0BBbt25l69atbNu2jcsuu2wh5FxSjFclprgyV0lSZnEIDKhtdkit6lkBOLoL/+xhtUKdTozsF66lz7F5OnQtvVYzMZngbfJVVosL0J9Vxk2+K3xtg1pJfPWJXLlXVK6AEOD7gIDGDrVvNg3ResSvvQ+Y+DNoKosSnTJM9YD1/IN4gHnDu0oThkMRVmde523+IC8Hf4141iYWEGwdfpXVwRSkGd8wEYYyYK2AMl4ScUaMaqEMltpGZew2tMGWt8Dpg1p/NPPKaN0mMYB8/D7E9rtV5cSffWfEOCnGMHPzX06HTUt5TorzTYoRudLDLStmpMtrOuvZDrqK1yzJeu6EHhTLMMmMV95co9FUPHNKkv/GN76B4zi88MIL8y7oUsNYc8XECZT5pEzDVKFWhqnCEOxgrlliWhkj7oDaP29oCANWbEBsuB756pM0Omne5e1U8dNeVhkxnqt6l/i+MkJAbW9sV54TATR1jMjiZCBaj/nePx5fVv1AWR0U6xQonfA9tf2Gd42bMLza6WW1/xTGHZ/E//m3QZxXJYPdcW74oRq1cjzGMAHack1enQyEazA//Pl5/agaTTGTJcOb7/1jvNHlggEMS+Xi5cknwycGR5Lk8+PJsKC2fvJ5cgrWdNZrg2SWqByU8Xsm6RAvjaZ6mXWS/I4dO4jH42zevHm+ZLt4yaaVl8QOjHTgzocUTLQadOXbEOuvRUTrQAjk7l+qcq7dJyCb84oUjs15ZoSVS4LXie9Lnmx6xDjJI4yREMLihGEh1O8ejkFqGHnqABx9dXzdC4RUCKCTVbkooz1+xWhd0iwGUyXDj9ZZyy41wgNBFdI41DfSxBbU3JkvFKF1e9GYzINiC5O0NlA0mqpk2knyO3fuJJPJcMUVV3DttdfygQ98gKuvvppQKLQQcl40SN+DpuUq5MBzVS+J4pviBBjX3KQeQINhZdwEIyoMx3UAHzAYsT5kaelXnfi+9AmElJErim7k0lfbQf3G6YQyNkxLlZEe6IZsGvmj/zmiK5YNkTqVVxKpVecbHpzYcC5G65JmMZgqGb54LrSDpSWyA2HV62mof+w8nA/BNS2t24tIxnexxAQGimmSGs/jq9FoKp4pDZRnn32Wa6+9lo997GNcccUVBAKBhZDrokI6WRWC5WTVg96K9fDKo9M72ApAKIp/ZBfGtlsLpRbFNW9HPvwPysgpvrEKoVb+wjUjOSs68X3pc83NKgfF90YeyKSErbeo6m/bblXvJ+PgepAaHCmMkMcwwZPK61LbqMK50gNTX/vCaXVsIFjIXdJoForJipL4x3YrAyQ1rDzW4xonfeN7BiUjlb36z4Nh4R/brfOoFhhVxWv8EK+AYTLk6HLNGk01Mi0Piqa8SN9XxoibBTdTkogpB87DhVNTnyQQUnX4BepB8ukf4rvZkqpMIEbq9+f+pLZJHZtNQ2OuTLROfF/ymDe8Cw9yVbwyKp7+6u0Ym98E8R6M+lb8TTfCjoeV5634gax4hTkaU0ZuclDp8JQXDuRKVsNY95xGM/9MVJQEUIaLHQDXHmWchCYxTnJl1438uDAgpjrJy8fvw9+OnjMXkMmqeAUMi7Q3QbU1jUZT0UxqoPzxH//xuM2PRvOVr3ylbAItVaTrKO+IkzNKimrnS8+Fk/uRB16ArmOlBwbDyhBBQioJ9c3KoPBcternZnJdjo1CwjPkbsahiKrQlWeqhPc8+ua6JDFveBfyDbcr/cmklT7mvGiy+7iq4jZ4vvQgw8rlpOQe2NIJqG9Rr7nu7zS2q32L9Mu7/6/GhtU4Gd0pXrMojFeUxLv/r5SXZKC7yNjOVeIK16hqXa0roK97pGdPsa4n4spgt0v7lWgdX1gyk+SgBHSIl0ZTtUxqoKxatWqh5FiyyPSwehj0PUb3MZHDA8hDL8GhHaU19YWhHgZD0VylLaFugsJUN86+c6VNw2RuNS+f8AwL0q1eUz1IJ6MeqrLpkhVhGe9VD1QnXhvZedXl6m/DUhXfInXqAa04Sbi4k3yeYv3S+qepdFLDqjFt3jgRhloMCgRVta6pdD2bHpt3onV8wVE5KBOFeFmkdZlhjaYqmdRA+dSnPrVQcixdspmScpVS+nD2qPKWnDpQ1ABMFJUI/iWkh3JJ77mE90xKJc4P9xeFhImRY4sTnmHeutVrqgfpueDkvCWjmpXJdBL56hNw4IWRB7GWFYhrb0O0rcb/P19URm+0ToUQpuK5qkU5nZuqE7zWP00F4/echoHzpSWDQzVqvh3qzyW/2+q9iXQ9EFKvWscXlaznYk6QgxI0LV3FS6OpUmZUZjibzXLs2DH6+/tVYm2OG264oeyCLTVkOqk6vR98Ua1E5wnXwGXbEJddi6ipV/v6vkqSj9QAhtrfycBV22HfMyrsK52g4JGRuf9dc3PhtNPpVq9Zekjfy3lKMrmHr1FeO8+F/c8r4yTvcaupR2y9BdZcMRLSec3NsO/ZnNck16wTqcJfptEJXuufplLxTx1APvR3I8ZJMIwK7QqpqolWQC0GBSfXdTVGnlHn0Dq+aKQ9l4Ax/qOM9qBoNNXLtA2UHTt28B//438km80yPDxMTU0NiUSC9vZ2HnvssfmUsWqRUiLPn0C+9iwc31MaImCHYMN1iKvfjihemRMGxqXX4KeT8PLDyhCxbLW699oz6iZqh9SNMh+uEwzDNTeXJMhP1a1es3SQ0lcGiZMZk980so+E43uRLz8yYiCbturv4PvIgzvg1EFk13GVNCxRK8HZlCpVHQipuPrEgNKnKTrBa/3TzCf+sd0z1i3pe8jDO5GP/O9cyW0j1wxXQiSqvNOWrfJOOteP6PYkuu63r9Y6vsikPWdCAyVoWqR1DopGU5VM20D5v//v/5uPfexj/Pt//++59tprefHFF7n33nsJh8PzKV/VIof68H/8DegelfSeb2wHcGwPsm01YsV6dbMMhCEUQZ7YB3uehHBU7T/Upx4Ma1WlGDwX8Rsfn/JGOGm3es3SId4P/sQ3YXn+JPLFn8GFk2qDMGD5OujvAtNQMfe9Xap6lxWEVEIZOkO98IZ3jqoMN320/mnmA//YbuWdMy2V55QYmLJ6lsxmkPueRj75r7lS20It7HherkP8gJpvTWtGRobW8cUn47nUWMFx3wsYJo7v4UsfY4I8FY1GU5lMe8QeP36cD3/4wyXbfud3fod//Md/LLdMSwJ5ct+IcdLYAbFmiDWp/hFWQP1nmnDgRWWY1DYiIrUIw0Tu+Lm6+dpBSA7lqnQJ9W87CKalVu00GqBQRnoUcqgP/4l/Qf7k70eMkxUbEHd9RnlFLDunh7Z6OANllPhurmmnUJXhNJoKQu54eGR+FGLSOVFKiUwNI3f8DPn495VxYtpQU688jTX1qlqX76k8Pz23Vh0Zb+Iyw0KIXCUvnYei0VQb0/ag1NbWMjw8TCwWo6WlhSNHjlBfX08ymZz64IsQseEN6h/BCDR2IO//f3KNEHPYQXVzzKQR0brSg4srIHlurt6+HAkR05ViNJMgMynkq0/C/udGEuCbliGu/XVExyVqn6H+XAGGXBnrge7SPhCgPC3FleE0mkpgmhXipO8hhweRL/1UldAGaFmpKnQFo2AGVQit6wBCza96bq06Mp5DYAIDBSBk2iTdLFFbN5nWaKqJaXtQbr75Zn75y18C8J73vIcPf/jDvPvd7+a2226b8th77rmH7du3s379eg4dOjTuPp7n8fnPf56bbrqJm2++mfvvv3+6olUkwrQwLn8TonWVSjyubVCVYKzc6l0oqrp2jzdp1jWPJHCaVq4srBypIqMrxWjGQXouct+zyB/+P/Da08o4idYh3vwexDt/r2CcABBrVDoYCKkKXfk47eK+R6Mrw2k0lUDx/Jhn1Jwosxnk4AXkr/51xDjpXI+47bfVfuGoMr6zqfwRan7Vc2vVkfHcaRkoGo2mupi2B+XP//zPC//+v/6v/4srrriCRCLBW97ylimPffvb386HP/xh7r777gn3efDBBzl58iSPPPIIAwMD3Hnnndxwww10dnZOV8SKwj+2G7nrCeg9C/HeXKJ7VMU8Oxm1cue5iDf9uzHHim23Ih/+B4j3qVU9mauiVFOvVv9SCUjE8f720yoUp3n5SNLmLJJHNdWJf2y38pQM9irjN5tUYYCgPHQrN8FwP3LnY3B4J7J9jWoEmkqohp/nT0FqiNJKX0J566SfM1DCeN/+U/XQVpw4rHVLs0hMViHOe/GnKmx24LwaE8Vd4LuOI595QM3F50+pPCvPA0MqnfelasoY78P75h8or6PW8YonPUmjRoCQaWkDRaOpQqbtQfnSl75U8ve2bdv4tV/7Nb785S9Peey2bdvo6OiYdJ+f/vSnvPe978UwDBobG7npppv4+c9/Pl3xKopCEueF00AuzjkSU6t1Paeh9xxE6xHb757k5idyz41C5aoYBiSH1cOlHVBGjpOBTBL6u5CP34f33I/VdRMDpcmjx3Yv1EfXLBAFHRs8D0M9KkQrn6+0/jq44V3QfVzF1wdDEL8Aux5XOtjQCj1nlOdkVBliDCMXp2+panG2rXSpvxuef1Al1mvd0iwixporENvvhmi96tGTm0tlz1nILwq5mVLjRJhq24WTauEnFAGMXCupXB8pI+c99D21gNTfrXW8Csj4LgFz4rXWkGmTcDMTvq/RaCqTaXtQ/u3f/o2/+Iu/GLP9xz/+cYl3ZbacO3eOZcuWFf7u6Oigq6tr3H3j8TjxeLxk20T7LgaFJM7UgOrCnR5Sq9tCKI8HYL73jyc/PhRRYWF5nAwk4lBbD0MDucR5Q91YMym1785fQDQ20jgs9yp3PKwrzcwzC62TcsfDyrtWHC9v2VDfhvHGO/B/9h1l2Fq5EEI3q4o0eJ7Sx2ROViFGGtL5HlgBzE9+He/+vypttJhJqX0zKVX1SOtWxVPp8+RcGF09S2ZSyF98T5UKHm10gzK8w7VqzAwPqFLCocjIvBptVg0aYdS8Wq91vMyUWy+nCvEKmhYJR3tQNJpqY0oD5Qc/+AGgckTy/85z6tQp6uvr50Wwyfjud7/Lvffeu+DXnTb5JM5sOpdkLCiEzhjTSDyeKAk0m1ahNvnEeaAkuTP//ujjdNLnvLPgOjnYUzB2sQMQqlWvqYTalk+CB6UDkXrlbcukIBQeWV0u7plSnBQ/Wgc9V71f3MtH61ZFU/HzZJmQibhaABrum3inSK3S+WTpg/GYeTVfijav61rHy0659TLjOdgT9EEBZaAMu7rYh0ZTbUxpoDzwwAMAOI5T+Deo8n3Nzc3cc889ZRGko6ODs2fPcsUVaqVqtEelmI985CPcddddJdu6uromzXFZUOqa1eqzEEUPgDL39zQSj/PH20W13d2sOs7NKu+Mn7+ZFiV35t8ffZxO+px3Flwn8zrSsTbn2Uiq3zrvdattUCFcNQ1KLwYvqAexvLckv0o8UVL8aB00LRXTXxxKoXWroqn4ebJcOCnkhVOl2wxzpIJdKKr0fvCC+ru4H8aYedWjEPKlk+bnhXLqpZP7jS1j4mj1sBUgnq3eEC/pubk+aE2q4I5Gc5EwpYHyve99D4C/+Zu/4Q/+4A/mTZDbbruN+++/n1tuuYWBgQEeffRR7rvvvnH3jcVixGKxeZNlrhSSOANh9eBYCDnIGSzX3Dy946EkCZRrboZ9z6jSsMk4yNwNOBgufX/UcWLbrfPyOTUjLLROFnREeiByD1KeB5vfpHbY8mbY+5TSt8SgCv/KpJSuSKle0wmlmoWk+BHdHKODwTAksiPHa92qeCp9niwX8vQh5OP/XLQl57EGNQcHwiqsK79YNEqHS+fVoTHzqtbx8lJOvcxM0kU+T9i0uZAeLsv1Fho52IP/g79WzxGxZow7PoWobVxssTSaBWHaSfJ/8Ad/QH9/Pz/60Y/49re/DUB3d/e0Yke/9KUv8Za3vIWuri5++7d/m3e84x0AfPzjH2fPnj0A3HHHHXR2dnLLLbfwm7/5m3zyk59kxYoVs/lMi04hibN1pUo0FoZaqQ6EptWZe6IkUPOGd6ntDW1qVdAOqj4rDe2l7486TlehWXoUdCRSB9kMhGPwhndirFgPCIx116hEedNSutDQDm94p9KddBJaVsCGN6iHMN9TulSkm2N0sKEtd3y71i1NxeDvfx75i39SxkZNPWy4Qemy76kxsepycNLK+xcMK51vWTHBvNqu5lM7qObXhjat4xVOynUJTpIgDxC1AsQL5aSrBykl/k++iVi1CXH77yHaV+P/v19BpqrT2NJoZsq0k+RffPFFPv3pT7N582Z27tzJxz72MU6cOME//MM/8M1vfnPSY//iL/5i3AT7b33rW4V/m6bJ5z//+RmIXtmMTuIs1/FTnXeu19VUD/nfWg5eGAlnMWyI1CLsAObqLbB6y5zPr9FUIvLIK8if5e4hDW2IW/49IhKDG25X28I1iFDNtM6ldb06SXvOlAZKxA4Sd6owB+X1V5XX+7JrVWjX+uuQ6ST+z76Ncdfv63AvzZJn2h6UL3/5y3zta1/jO9/5DpalJoQrr7yS3bt1CUaNpiIIhKG2AaE7JmsuAgp5J+2rEb/+cWWc5AlEpm2caKqXlJudMsSrxgowNFVhmgrE3/kLxLqtJYaI2PJmiPcg9/xqESXTaBaGaXtQzpw5ww033ABQGDC2beN53vxIptFopocwIVKDCIYXWxKNZsEQ19+OWLMFGQgiihPf7ZCq2qVZ8qSm4UEJmTZZ3yPrTd4vpZKQQ/3QfQKu/fWS7cIwYdutyF/dj1x7FSJat0gSajTzz7Q9KGvXruWpp54q2fbss89y2WWXlV0ojUYzA6IxbZxoLjqEYSDa16iHtjxWQI0HHf5yUZByHYJTeFCEENTYQQaqKA9FHtkJyy5FjGNQiboWWHU5/q/uXwTJNJqFY9rLCf/lv/wXfud3foe3vvWtpNNpPvvZz/L444/zjW98Yz7l02g0UzDeTUyjuegwbYjWlXpTNEualJfFNidu0pgnFgjRl0nQGq4Oz5o8/DJi5cYJ3xcb34B8+B+QF04jWjoXUDKNZuGY8skmlUrxd3/3dxw6dIhbb72V1tZW/t2/+3d0dHTwgx/8gPb29oWQU6PRaDSa8TFMZZxM0lFcs/SYjgcFIGaH6EknFkCiuSOzaeg+BtfeNuE+wg7Cum34zz2A+a5PLqB0Gs3CMeXI/sIXvsDevXt585vfzK9+9Suuu+46Pve5zy2EbBqNRqPRTI7IGSfak3jRkXCz08oridlhzqeGFkCiMnD6IDQuQ1hTFDtZeyX89FvIgfOI+taFkU2jWUCm9IU/9dRTfOc73+FP/uRP+Na3vsWTTz65AGJpNBqNRjMNIjGEZS+2FJpFIOlmp0ySB2gIRjiXHFwAieaOf3wvonXllPsJKwCrN+O/+sQCSKXRLDxTGijJZJLWVmWdd3R0MDysmwRpNBqNpjLQZbUvXhJOhtA0DJSmUJSzVWKgcHK/avI8DcSaK2Dfs0jPnWehNJqFZ8qR7Xkezz//PFJKAFzXLfkbKJQf1mg0Go1Go1kIkm6WkDm196whGCGeTZFys4SnCp1aRGRyCIb6oL5tWvuL2gZktB5O7INLdKNRzdJiSgOlqamJP/uzPyv8XV9fX/K3EILHHntsfqTTaDQajUajGYfENEO8TGHQHolxNN7D5sZlCyDZLDl9EFpWIozpV6ITnZfhH3wBUxsomiXGlCP78ccfXwg5NBqNRqPRaKZNynWm5UEBWBlt5JWeUxVtoPgn9yOaZyjf8nXw6PeQvqer2GmWFLpgvEaj0Wg0mqpjuiFeAJsaOni55ySHBrrnWao5cOoAtKyY0SEiEoNoDM4emSehNJrFQRsoGo1Go9FoqgrP93GkR2CaXoMaO8itnZv41oFn+NnJvfMs3cyRySEY7p92/kkJbWvwj+0pv1AazSKiDRSNRqPRaDRVxbCbIWzaCCGmfcwlsWbev3YbPz+9n2EnM4/SzYLTB2acf5JHtK0GbaBolhi6s9U8s7fvLI+c3k9PepjmUA23dG6s6BhYjaZS0WOpstG/j2YhSTjKQJkpNXaQVTUN7O47wxvbLpkHyWaHf2IfomX57A5u6oDBC8jUMCJcU17BNJpFQntQ5pG9fWf5/tGXGMimiFgBBrIpvn/0Jfb2nV1s0TSaqkKPpcpG/z6ahWZ4DiWDV0QbODDQVWaJ5siJfdC6alaHCsOE5k5VBWwWZB2P/a/3smNvF0dPDuC4/qzOo9GUE22gzCOPnN6PKUyCpoUQgqBpYQqTR07vX2zRNJqqQo+lykb/PpqFZtjJTDtBfjTtkTqOD/WWWaLZIwcvQDYFdS2zPodo7sQ/dWDGx53qivMP/7aHVw9e4FxPgud3n+VbP3iVF/ecw/W0oaJZPHSI1zzSkx4mMmqFJ2CY9KSHF0kijaY60WOpstG/j2ahGXYyhKzZPcI0BaP0phM4voddAaV55bE90L5mRvk0Y2jphFefnNEh5y4M8+CTR7luSzttTdHC9vhwhr2He9l7uIdbb1zN8rba2cul0cySBfOgHDt2jPe9733ceuutvO997+P48eNj9vn617/ODTfcwB133MEdd9zB5z//+YUSb15oDtWQ9b2SbVnfozmkY0Q1mpmgx1Jlo38fzUIzFw+KaRjUByOcTw2VWarZIY+8gmhfM7eTNLSpPJR0clq7Zx2Ph375OtdsaisxTgBiNUHeePUyNq1t5MEnj/LY8yfIOt4EZ9Jo5ocFM1A+97nP8cEPfpCHH36YD37wg3z2s58dd78777yTBx54gAceeIDPfe5zCyXevHBL50Y86ZHxXKSUDGVT9KUTnEkM8NXdj+n4bI2miL19Z/nq7sf4sxcfGDM+Ro+ljOfiSY9bOjcuosSaPMW/T8rJcC45yIXUEMNOWs9zmnlhyEnNKkk+T2MwQlcyXkaJZodMJ+HcUWifW8K+MExoWjbtfijP7TpLU32I5a0TLyIsb6vl5htWER/O8o8/2suhE/1IKeckp0YzXRbEQOnt7WXfvn3cfvvtANx+++3s27ePvr6+hbj8orG5cRkfWHst9YEwg9kUw26GiBWgIRjRSaQaTRFTJVkXj6Wkm6U+EOYDa6/VVaIqhPzvYxkGvRm1gtsYjOBKqec5zbwQz6bHhBXOhFggzPn04ntQ5JGXoW01wp79ZynQ2IF/9vCUuw0lsuw90sPmdc1T7hsImGzb3MbWTW08/fJp/uVnBzhxdlAbKpp5Z0FyUM6dO0dbWxumqWI9TdOktbWVc+fO0djYWLLvT37yE55++mlaWlr49Kc/zdVXXz3mfPF4nHi8dOWjq6vCKnLk2Ny4jM2Ny/jq7scYyKYImuorD5oWGU8ll+qHrOqnmnSyEilOsobxx0d+LGmmx0Lr5ObGZTxyej8t4drC7wjoeU5TQrn0csjJsKKmYdZy1NshuivBg7L7l4hLrizLuUTzcuTRXVPu9+Kec6xeHiMcnP4jYGtThJtuWMnJc0M89vxJJLBhTSOrl8doa4pimbrmkqa8VFSS/Pvf/35+93d/F9u2eeaZZ/jEJz7BT3/6UxoaSieh7373u9x7772LJOXs0EmkS5tq1MlKQo+P8rMYOql/R81UlEsvh5y5e1BODC9uFIc8exSG+qFjbXlO2LQMnvsx0nMR5viPd6m0y/7Xe7n1xtUzPr0QglXLYqzsqKVvMM2Z88P84pl+4okMLY0RVi2LsWFNE411oTl+EI1mgQyUjo4Ouru78TwP0zTxPI/z58/T0dFRsl9Ly0iJvRtvvJGOjg4OHz7MddddV7LfRz7yEe66666SbV1dXdx9993z9yHmSHOopsSDAjqJdClRjTpZSejxUX4WQyf176iZinLppWrUOHsDpS4QpjeTmPXxc0VKif+r+xEbrptV9/jxEHYQWdMAF07BBEn3uw9dYFlrDaEZeE/GXEcImurDNNWHAXBcn96BFN09Sf71ZwdY3lbD265bSW20DGFrmouWBTFQmpqa2LhxIw899BB33HEHDz30EBs3bhwT3tXd3U1bWxsA+/fv58yZM6xZM3aQxWIxYrHYQoheNm7p3Mj3j75ExlMrilnf00m+S4hq1MlKQo+P8rMYOql/R81UlEMvpZS5nM7ZJ8nX2iEGs2l86WOIhQ9Pki88BJkkrN5S3hM3dSDPHhm3KpjvS3YfusB1W9rLeknbMmhvjtLeHGXzuiYOHOvn/zy4j3e9ba0uUayZNQsW4vXf/tt/4z//5//MN77xDWKxGPfccw8AH//4x/nMZz7Dli1b+OpXv8prr72GYRjYts1XvvKVEq9KNbK37yyPnN5PT3qYjOeScBNIwECwrXllSVz2d/Y/w46ek/jIwvsf3XjjhOdrDtVwS+dGHdutqXo2Ny7jA1xbott1dohvH3iGjOcSNC1uWr6B21dNfjMfPT4uq2vl0OD5knPu6T87o3PO5HoXw3gc/Zml73NkqAcflTSrHvUEPpKwabOlQeWm/PORly6a70gzvyRdB8swsebQw8QyDCKWzUA2RWMwOvUBZUIOD+A//UM4fRDxlveWzXuSRzR2IE8fgmtuHvPeiXNxbMuY1xAs0zS4/NImmupDPPDEEe7cvo5lk1QK02gmYsEMlLVr13L//feP2f6tb32r8O+80bJUyFcmMoWJ47kMuxkATFQzph09J2k7EeP2VVv4zv5neLHnROFYH6n+3k/BSCk+X3Glow+gqxlpqp/iJPiHTuzhJyf3IgBDCLKey09O7gWY0KAYPT66knEOD56nLhCixg5xOjHAQTeDAExhTOuck1F8vRo7eFGMx9Hf8fH4BTKytNu0+ktiCgMh1TxXFwhRa4cuiu9IM/8MOSmiVnDO54nZYXrTiQUxUKSUyJ2/QD7/IKzejNh+N8Ke+2cYQ/NyeO0ZpJRjGj/uPniB1csXxqva3hxl2+XtPPDEET50+yYd7qWZMbrswjxSXJloyM0WtvtITMNAAI+eOQComziAKPqvePvo8wkhCOovUnQAAC2uSURBVJoWpjB55PT+hflAGs0C8eiZA8qQMAwMIcaMl/EYPT7SvoMAkp6DEIJk0Ric7jkn41fnDtMQiNIarqEuEL4oxuPo73i0cVKMAFK+iwAChkVDMHJRfEea+SeeTROdQ4J8nlggRN8C5aH4z/4IuftJxPYPYlzxa/NjnABE60H6EO8p2ZxMO5zqirOyY+FCrjpaoly6op6HfnkU39dliTUzQxso80hPephAzgUtc+EPAsgPUyEEGc8FKIRHjKZ4e/H58ugKOZqlSMZzx6z+FY+X8Rg9PlzfRwiB6+fX9GXudfrnzCOlxPE90m6WoWyavnSC88khUm6WnnSicM6lPh7Hm4MmQs11kpitwkncnDGz1L8jzfwTd9Jzyj/JU2MH6Z1m5/W5IE8dhD2/Qrzp3yHmUBp5OgghoLkTeaa0H8r+o70sa63BtmYfFjcb1q9pwPMkO/d3L+h1NdWPNlDmkeZQDVnfA0DkfCKSEe+IlLJQ7cZAjHOG0u358xk570mNFSBqBemI1M3bZ9BoFoOgaY1pBFY8XsajeLyBijGXUmIZ+awIkXud+pyu75F2HYazGfrTSS6kh+lPJxjMpkm6WRzfI2TZpDyn5LilXrFq9Hc8FfWBMBLJkJsh/3Mu9e9IM/8MZlNEyhDiVWuH6JnnZo1SSvwn/hlx5VsRoYXJdRFNy5CnD5bIsOdwD6uWLXwhFyEE12xq5YXd5xhKZKc+QKPJUVF9UCqdfHLo2eQgru9hCoPl0fpC0ud4CbpPnjtEXyZRWL0FZaRkfQ8B3LR8AwDbmlfyYs+JMX6Ubc0rC/++rXMT/9/xV0g5WQY8F8f3qAuGeO+arfP/4TVVz0IndM/lejct38BDJ/fgjXoYdnyP33vq++MmuI+uIBUybOKeS8ZzOTmq34GUqhBFyLS5dcUmMp6D4/k40sP1faScyKc5wo3ta3noxG5S0sfzfTKeu+QrVt3SuZFv7X+ajO9O+v0IoMYO4UmfuJMmatpkXOei+I40848yUObuQYnZIQ4kBuYu0GQc3wueA8svm9/rFNPSCS/+rPBnd2+SrOPR0hBeOBmKqI0GWLuinidfOsU731qmni+aJY82UKZJPjnU832Sjkp2Rwi6knG+f/Qlbhi6hOfOv16SwP7Lc4dxvYljtItv8B/deCPsp1DFKyBMrmtZxfsu3cZQNkPWdxnIpujPpEi6WTykWgnOStKjVnE1mtEsdIGFuV5vdW0TQcMa8yCcLwk6XoL76EpglmEUPJaWYWIbBpYwCRgmplC5LVc3r+Dqpk4GMqmS60spSXoOQ9k0cSdFPJsm7qQZcjLEs2mGHPV3Pq9l2MmwpraZ21ZsWtLJ38eHeqdhnAgagmGynkvSVXNTwnM4nRxgdW2TruKlmTMD2RR19twftlUOyvyGePk7f4G49JoxIavzSl0rpIaRwwOImnr2HL7A6mV1CyvDKNavbuDhZ45z9sIwy1q0B1UzNdpAmSb55NAhL4MQAkMIfClJ+w4hK8KjZw4QyyXKggpRySffdUTqODXcX5KHYhsmnu/z6JkDhQesj268kX/v34DjuyQdh7OpQZ46d4Tz6SHOp4Y4PHgBR46sKEsg4To8dHIP17SsRKOZiOLkZlD6mfHU9vl4WJzr9R45vZ+6XFI1UBg/EpXgjhBjxg+UVgL7ixcfoDkYIWBYuNLH8T0ynovrefzOpjcVDI2nu48WGR0Z4tkUQ04Gb5IE8NE0h2r4wyu2L0o/hYXk0TMHMBB4E5gohhA02mESrkPWdws5dAK4c/UVbM95jDWauTCQSbGsDKHNdYGwinAYp+JVOZBD/XDu9XFL/s4nQghk6wrkqQO4l17LoeP93HTD4j4jWJbBprVN/OqlU7zv1zcsqrGkqQ60gTJNetLDRKwAru+rByTUTdf1fQKGScZzxySPerkkXWBMiJclDIKWhQCOxXs4nRjgbHKQ7mSc8+khetOJCRPn89e2DJOoGcDzp/8gpbk4yetvMfOZrDzX640+fnSCe97IFyhvhyt9HM8j7qToSyfpyyQZyKbwpSyMo+LR9LW9T0z7s5jCoNYOErND1AZC6tUOEcv9OxYIsTzasOSNE1DFCwwhQI6dmyxhELZserPJku86bNqEDIs3tV+6cIJqljTxMpUZtg21iBJ30tQFyh/+JA++AMvXIcoQjjZTRPMK5Il9HLDW0lwfJhJaeBlGs3p5jMMn+jl+Js6aTp07q5kcbaBMk+ZQDQPZFJZhFAwPiUrEzfoeQdMqvOYxixow2cLEMgxlsEiJJyVpL4uP5L+/+siE1w0aFi3hGlpDtRwf6sWRHmEzgCGEKjVsWNTOV7lCzZIhr7/F+jmfycpzvV7++LBlYwqDkGFjGKLQwwQpyUoPT0r+8pWfM+QoD4g3zoPzZERMu2B0xHK9OooNkZgdImIFplztMy8C4wSUJyw7TtWzgGHhSZ+hfPgryjCpsYP4UtIYiCykmJolzmAmRU2Z7nv1gTAXUsPzY6AceAGx4fqyn3datK2Cp/+NXZnrWH9J4+LIMAohBJvWNvH0ztOsXh7TXhTNpGgDZZrkE3Ajpk3cyz0ICUHIsPGkx83LN/DiheP4voqRT3tZwqaN63t0JQdxpIfjTVz9JmhYNIdqaA3X0pozSFrDtcTsUGEQHxo8z89P7S0JETOFYPuy9Qv0LWiqldEJ5Fnfm9dk5fGu50uPW0ddz5eSISdNfyZBfyZJfybFQDaJIQRD2RT9mQSu7ysvyASOwlOJ/jHbLGFgGWYhP6tQOQ+4umkFb+1YR40dxJ5DJ+qLkZuWbyjk/sCIYZb1S42WsGlTFwjj+B6+9Lmh7ZIFlVOzdHF8j4zvETbL4xGoC4S5kB7i0rqWspwvj4z3wmAPtKwo63mnTW0jnu8TSlygvXmRZBiH5W01HDzez5GTA6xbNb8llzXVjTZQpuC7B57jlb7TSMAUgqgZoNYOFkIYfHxSrsfDp/fjSA9/hiu4AghgUGsFGXYyDGSTHI6fx0RgCaPQkPH6ljW8ZdmlNATCPNt9jO5UHMf38ByfR07vx0fqxFPNhIxOIC9HFS8pRwKvpIQDA1083XWU/kySxmCERivChewwGdfBR2IJg+8ceJas9FTpzaLwq9kQECbN4Rq6U0N40scSBq2hKD3pJI70sKVJe7CG3mwShPK+XF7fwbtXX1k4x5F4Dy+cP0Y8m6Y+GOb61tVcElMPKgaC14d6ePH8cQazKRqCEa5vWc2aWLPKhcmXLRYCcwmuBI6uwlZnh9jbfxbTMAjk+su44+TpGAhc6TOQTRI2A1wWa2V33xme6jpCwLR0krxmTgxkktTawbKtvtcFwpxPlb/UsDzyCixbi1ikRRAhBN2Bdq4KnKsoT4XyojTyzCtnuHRlfUXJpqkstIEyCf9y+EX2D3ZhCIEnJVnfI+0l8KWc0WOVIURhRVe9Ghi5KkK+lIUYej9Xc8iXEld6JKVUsd4SfnTiVRzpqYRgIVSFJENVJOrLJue1IpNmaZBPIE+7Ti4USjKUzVCcIZU3sCWykLTh5wyQ/H6e9EnkksnjTpp4Ns2J4T4Ox88ro0NKjg33zlpO2zBxcuWFDVRBCkOIQuWt/KtAkPIcGgJhTKEqdrlAfSiCIcFD4iJpDdUQC0RwfI+BbJILqWE2NLRzcKCLJ88eRAiDGjtIwnX4xZkDvCcQZmNDB/v6z/Hz069hYGAbJr2ZBA+e2sNvrtnKpsaOWX++aqC4CltjMMJAOkFPepigaZN10qRHlX8OGCYh01Z5QULg5UovZ32Pvf3nqLGDBE173qvHaZY+fZkktbnmn+WgPhjhXHKwbOfLIw+/jFi1qeznnS6DQxlO+M1cM3SI2c/G80N7c5T9r/dx8Hg/G9ZURviZpvLQBsoEPHXuCL/qPjqjmHYDoVYXDVPlnJhq5cTLrTR6UlURSro+npSMZ+YUd5rPEzBMhC8LFYsWuiKTZmmR9pwJu6dnPFeV082V1S35d67S1bCTmZPnw6A0WstAYOVKANumybJIHRfSwwiUMeTncrbUwoCP47s574vy4tiGiS8lmaIwo0DOyFEmv8DMjZWM5/Lwmf1c3rSMn5/eT9r3CJqCdO5Yx/f52al9bGzo4Oen9uH6kqCpPAKGMHB8n5+f3rfkDZTiOSZkBTgx3I8zTnnhoGFSY4dwpZ+b27JjvComAhefNsvWc5VmzvTnPCjloikY5ZWeU2U7H4BMJ+H8Cbju18t63pmw93AP4c412EdewUj040crJ5xKCMHla5t49pUzXLaqAcPQXhTNWLSBMgGPnNk/pXFiCaNQBST/kOT4Hq70SHhZPMef04NcMUKIwkPlQldk0iwdLqSGODjQTV8mQdzJjDFEMv74hstE2IZJzA4xmCsgYQr1X9xJj9k3b4iETbtQYMISJl6uBLAnfdKeQ9pz6U0nxjXgoTSfBMCQ49/cZOF15DzF42SqcXQxj7P8Z3d8j1PDfWNyTARQZ4cRQjCQTU1aklnkwsHyXCzfoWZ+6MskqCmjB6UhGKEnPaxyOo3yFLuQx3ZDy0rEqPljobjQl6RvMM21W9rIDK4hfGIniU1vXxRZJqK1KULANtl3tJfN65oXWxxNBaINlAn42Pob+R97HiflOQUjI2CY2IZFwFQeEkd6OL5HynUY9NMTPlCVAyllwWOy0BWZNEuD40O9/Pddj0xLTwUQtYKFUrq1xVWuiraFTAshBP/74HPEnTSBnE4OORlsw8A2LNUgMReH7foeQkLKd3KexLEmvNo297GU90YKRgyY4nEy1Ti6mMdZc6iG/kySnszwmLw6E0F9MELac0g42SnPJaUseJPh4vkONfNDT3q4rB4U2zCpD4Q5lxqks0xeBnlkJ6JjTVnONVM8X7LjtS4uWVGHYRhk2tcTPfw0iY3boYLyPYQQXH5pE8/uOsOGSxqxzIujEqJm+mgDZRzyyaExO4iZWxW2DAPX98n6LsNOphAjX25GP5YJVIiYRFXQgYWvyKRZGkStILV2kLTnqr4e4/T0yJfXrbGDMyqd+6b2S3n0zH4ChkXEtBEhn6Tv4vi+Cvvxp+dNNBFIKceEgRUzxqAp6jcEasz4UhYMlIhpIXM5ZMXjZLxxlHQzWIbBn734ACHTIpXrFH+xjbNbOjfyz0deVHOfUEYFqIe5ukCIYSdDeoIwwdGo38Ae9zfQaGbKhfQwlzeUNzywNRzjxFBfWQwU6TpwYh/c+ttlkGzmvHrgPOGQTXODKpvs1ncgfI/A+aNk2yqrF1FzQ5i6miC7Dpxn2+Xtiy2OpsLQBsooipND6wJhsimXIVcZJALBtmbVjXVHz8nCA5eBugnPZc03H/6Sf5AzAEMY+FISMC1uWr6h0DF7PioyaZY+LeEavnL9XQxmUxPmoEwXASBEzqtosq11JY3BCI+fPUh3agjX9xjIpmZ0zkY7TEskRk96mHV1bZwZ6mPYdwrvW4CPyI0PNRbbIjEePXOAjOcSNm1WROo5lRwg47kETZstDcsYdNLjjpPR4yhkWghUOFLECpD1PSQSyzBIutmLapxtblzGBy+9jn87vgvX9+hNJwibNkHLZjCbmvYCzfq6Ni6ra+XQ4Hk9V2nKQk96mPoy9yxpj9RyePA8N7avnfvJTu6HuiZEKDr3c82QIyf6OXchwdUbW0YWbYQg3bmFmn2P01dhBgrA5nVN/HLHaS5f20w4pB9JNSNobRhFcXJo2neJBsNYnk19IMwfXjESw/lRbiw57qu7HyuEg5wc7it5L7+SayD4uzd/oGTfPBnPHXONychXZNJoZsJsSjrmjRFbmJiGUQjZypfBzrOpsaOQPP4fn70fM1c0AkZW4Avno3RMzIW84T4bisfRV3c/hlsUSpl/rbGCfPaa35iTjNXI5sZlPHJ6PwIIm4FcpbOMyjHKpogFwnSn4hMe//dv/uDCCau5KHB9j3g2TayMOSgAK6INPHBiN1LKOZe99Q+9hFi2rkySTZ9Dx/s5cKyXK9e3YFmlpY3THRtoOLETu+cETvOqBZdtMmI1QZa31fLMrjPc9IbKkk2zuOigv1H0pIcJjKpbPp2kzvGOG03e4zLba2g0C4FAqFAtK0BdIERDKEpLqIaGUIRYIETYChTKyU5ExnOndaMvVxGJcqDH5Vh60sNYhkmNrfo0eVISMEwynjvlfKfRlJue9DC1gVDZktnzNAajCMS4TV9ngnQdOLoLOheuebLj+ry45xxHTvZz1fpWwqFxGliaFsk126jb8UPwJy5osVhcvraJQ8f7ON+bXGxRNBXEghkox44d433vex+33nor73vf+zh+/PiYfTzP4/Of/zw33XQTN998M/fff/9CiVegOVRTstoL00vqHO+40eQbu832GhpNuRGAKUzCpk2tHaIhGKElrIyR2kCI0DSMkfEI5vI+psKgcpI29bgcS3OohqSbZaiotHTW9wia1pTznUZTbs4l4zQFyx86JYRgQ0M7T549NLcTHdsNdS2ISG15BJuC7p4kjzxznEzW46qNrYQmCZHKdGwE6VOz//EFkW0mBAMmmy9t4eFnj+H7lbNopVlcFsxA+dznPscHP/hBHn74YT74wQ/y2c9+dsw+Dz74ICdPnuSRRx7hX//1X/n617/O6dOnF0pEQCWH5vuVSCnJeO60kjqLjwsbpZNEfrjl81dmew2NphxYwiRqBakPhmkK19AcjhILhonYAQK5qlxz5ablG1RTR98fUwWqOF8rPyYqAT0ux3JL50biToq055R8Jzct34AnvQljhC+rbVlQOTUXB2cSAzTOg4ECcFVjJ7t6T3Nk8Pysz+Hv+dWCNGdMZ1yef/UsL+45xyUr6li/ZhpVsIRgeNPbiR54kuDZ/fMu40xZvbwW0xC8uOfcYouiqRAWxEDp7e1l37593H777QDcfvvt7Nu3j76+0lyNn/70p7z3ve/FMAwaGxu56aab+PnPf74QIhbY3LiMD6y9lvpAmKSbpT4Q5gNrp+56XHxcxA5SYwUKa8MGguuaV/HRjTfO6RoaTTmoCQSpCajO3jOp1DUTbl+1hXes3EzAtPClJGzaLAvFCh6T0WOiEtDjciwTfSe3r9rCB9Zey9q6tjE3kctqW/ijq25eFHk1S5vjw720zJNHM2zZ3Na5ib/d9yv+x94n+NHxV7mQGpr28XLgApx7fV7Du6SUHDs9wMPPHAdg2+Y2muqnXzDAD9UytPlWGp79PwS6Ds6TlLNDCMHWy9vYub+b093T/941S5cFSZI/d+4cbW1tmLla+KZp0trayrlz52hsbCzZb9mykYeBjo4Ourq6xpwvHo8Tj5cmZ46332yZbQL6TI7TSe5Li/nWyWrk9lVb5pTAvhgspXFZLp2c6DtZSt+VZuGYrV5KKTk+1Mt1LavnSTJYVdvER9a9gdOJfrpScb6862E+uv6N09Jz/6WfwZorENY4OSBlIJFyeGlvF6m0y+Z1zdRGZ9cE0q3vIL75Vhqf/icGr76D1Nrryizp7ImEbK69vJ2HfnmUD/zGRupqytfvRlN9VGUVr+9+97vce++9iy2GRlNA66Sm0tA6qalEZquX3ak4AlH2Cl6jCVs26+paWVfXytraFv7h4LP88ZU30xGpm/AY2d8Nh15CzEPvE9+XHDnZz76jvXS21bJxTSPCmFsYrtuwjMGr76B2z88I9B5ncOtdYM6PYTVT2luiXJZs5AePHOI3b10/a0NMU/0siIHS0dFBd3c3nudhmiae53H+/Hk6OjrG7Hf27FmuuOIKYKxHJc9HPvIR7rrrrpJtXV1d3H333fP3ITSaSdA6qak0tE5qKpHZ6uWu3tOsqW0qS47cdFkWreONbZfw9/uf5s+uupWAOfaRSfoe/sP/gNhwHSIYKev1u3uT7DrQjWkYXLWxlch4FbpmiVfTyOC17yF64Je0/Oz/YeCNd+M0rijb+efCulX1+L7Pv/zsAHduv5SWxvJ+r5rqYEEMlKamJjZu3MhDDz3EHXfcwUMPPcTGjRtLwrsAbrvtNu6//35uueUWBgYGePTRR7nvvvvGnC8WixGLxRZCdI1mWmid1FQaWic1lchs9NKTPk91HeXtyxaufG+ezQ3LOJXo5/8cfpHfXn9DiYEkfR//0X8C34N1W8tyPd+XdPUkOHCsj2TKZXVnjJaG8LwYZtIKMnz5zQS7DtH4+DdJr7yKoS234ocXf95Yv6aRcMji/ocPctXGVrZd3k7A1qXNLyYWLMTrv/23/8Z//s//mW984xvEYjHuueceAD7+8Y/zmc98hi1btnDHHXfw6quvcssttwDwyU9+khUrpmfRe54qeXmxx/1r5of29nYsa2bDReukZj7ROqmpNGajkzC5Xkopebz/GAEf7ESWC8kLc5ZzplwVaOGx/te595VHuaVpLVFhEjh/jNq9T4D0Gb78rcie3lmd2/clqYzHcNKjb8ihb9AhYBs01tksbw4iRJbBwWyZP9Eowm0YG3+DxnN7afnxl4m3rGWgbSPJ+k7cwPxUTZuWWBZctS7KsVO9vPxaFytaQyxrDtIQswkFjGkZbbPVSc3iI+R0mhVUATt27NChC5p547HHHqOzs3NGx2id1MwnWic1lcYDDzzAhg0bZnzcZHq57K3buOxD7yBx5jxOIjVXEWeNYVvE1iwv/P17h3axZbCXnV2DTKd1RyRaT11j+5T7uW4W33PnIuqcCAmXDiMx7nuONPhi8kayi5C+HKmZ+Pt75pF/Yu+Oh8d9bzbzpKYyWDIGSjqdZu/evbS0tBSqhU1GPub1vvvuo7196kmjmtCfrfzMZhVmpjo5Gyr9t650+aDyZZxIvkrVycmo5O+6kmWDypYvL9sjjzzCqlWrZnz8dPSykj//ZFSr3FC9shfLfdVVV2kPSpWyZH61UCjEtm3bZnxce3v7krWu9WdbXGark7Oh0r+PSpcPKl/Gcsi3kDo5GZX8XVeybFDZ8s3W6J2JXlby55+MapUbqld2Hd5V3SxYJ3mNRqPRaDQajUajmQptoGg0Go1Go9FoNJqKQRsoGo1Go9FoNBqNpmK4aA2UWCzGpz71qSXZJ0B/touHSv8+Kl0+qHwZK12+mVDJn6WSZYPKlm8hZKvkzz8Z1So3VK/s1Sq3ppQlU8VLo9FoNBqNRqPRVD8XrQdFo9FoNBqNRqPRVB7aQNFoNBqNRqPRaDQVw0VtoNx7772sX7+eQ4cOLbYoZSOTyfC5z32OW265hXe+85381//6XxdbpLLxxBNPcOedd3LHHXfwzne+k0ceeWSxRVo0+vv7+fjHP86tt97KO9/5Tj71qU/R19e32GKN4ROf+ATvete7uPPOO/ngBz/I/v37F1ukcankuWD79u3cdttt3HHHHdxxxx089dRTiy3SjKkWfa1UPajkeX0h5uVjx47xvve9j1tvvZX3ve99HD9+vOzXmA/uuecetm/fXpE6NRnVMl4nolruO5opkBcpe/fulR/96EflW9/6Vnnw4MHFFqdsfPGLX5R/+Zd/KX3fl1JKeeHChUWWqDz4vi+3bdtW+K32798vr7rqKul53iJLtjj09/fL559/vvD3f//v/13+l//yXxZRovGJx+OFf//iF7+Qd9555yJKMz6VPhe87W1vq0i5ZkI16Gsl60GlzusLNS//1m/9lvzRj34kpZTyRz/6kfyt3/qtsp5/vnjppZfk2bNnq24MV8N4nYxquO9opuai9KBks1m+8IUv8LnPfQ4hxGKLUzYSiQQ/+tGP+P3f//3C52publ5kqcqHYRgMDQ0BMDQ0RGtrK4ZxUaow9fX1XH/99YW/r7rqKs6ePbuIEo1PbW1t4d/Dw8MVN96W6lxQaVS6vlayHlT6vD7f83Jvby/79u3j9ttvB+D2229n3759VbGiv23bNjo6OhZbjBlT6eN1Kir9vqOZHtZiC7AY/I//8T9417vexYoVKxZblLJy6tQp6uvruffee3nhhReIRqP8/u//Ptu2bVts0eaMEIKvfe1rfOITnyASiZBIJPj7v//7xRarIvB9n+9///ts3759sUUZlz//8z/nmWeeQUrJt7/97cUWp4RqmQv+03/6T0gp2bp1K3/4h39Y1eUzK1FfK1kPKnleX4h5+dy5c7S1tWGaJgCmadLa2sq5c+dobGws67U0Y6nE8TodKvm+o5keF93y8yuvvMKePXv44Ac/uNiilB3XdTl16hSbNm3i3/7t3/hP/+k/8elPf5rh4eHFFm3OuK7L3//93/ONb3yDJ554gr/7u7/jD/7gD0gkEost2qLzxS9+kUgkwoc+9KHFFmVc/vIv/5Inn3ySP/iDP+ArX/nKYotToFrmgvvuu48f//jH/PCHP0RKyRe+8IXFFmlOVJq+VroeVPK8ruflpU+ljdfpUqn3Hc30uegMlJdeeonXX3+dt7/97Wzfvp2uri4++tGP8vTTTy+2aHNm2bJlWJZVcIVfeeWVNDQ0cOzYsUWWbO7s37+f8+fPs3XrVgC2bt1KOBzm6NGjiyzZ4nLPPfdw4sQJvva1r1V8uNudd97JCy+8QH9//2KLAlTPXJAPEQkEAnzwgx9k586diyzR7KlEfa10PajkeX0h5uWOjg66u7vxPA/+//buPSiq8g3g+BdkCM0RRCEuKgoDaBq6sqcd5aZoqeRoOmVYauZ1K0TzEuZt1CETrXRS8hZOWdPYmAqEgTdMyJSbkDrajFIzkNyEBOWiyOX3h9P5uSYCmeyhns8MM+57eM95dn32efc95z0LUF9fT0lJSbtcOtXeaPH92lpaG3dEy7XPjHsEc+bM4ccffyQ5OZnk5GScnJyIiYnB39/f3KE9Mnt7ewwGA6dOnQLufvNJWVkZbm5uZo7s0Tk5OVFUVMSvv/4KQG5uLqWlpfTq1cvMkZnPpk2buHDhAtHR0VhbW5s7nL+oqqqisLBQfZycnIytrS12dnbmC+oe7aEWVFdXq+v7Gxsb+f777+nXr5+Zo/p7tJqvWs8DLdf1tqjL3bp1o1+/fiQkJACQkJBAv379ZHnXY6bV92tztD7uiJb7z/8l+eDgYLZv346Xl5e5Q/lH5Ofns2zZMsrLy7GysmLBggUEBQWZO6x/RHx8PLt27VJveAsPD2fkyJFmjso8Ll++zNixY+nduzc2NjYA9OjRg+joaDNH9n+lpaW89dZb1NTUYGlpia2tLREREfTv39/coT2QFmtBfn4+8+bNo76+noaGBjw8PFixYgWOjo7mDq1V2kO+/kmreaDVut4WdTk3N5elS5dy48YNunTpQlRUFO7u7v/oMR6HyMhIjhw5QmlpKV27dsXOzo5Dhw6ZO6xmtaf36/3a27gjmvafn6AIIYQQQgghtOM/t8RLCCGEEEIIoV0yQRFCCCGEEEJohkxQhBBCCCGEEJohExQhhBBCCCGEZsgERQghhBBCCKEZMkH5FwsODuann34ydxgmpk6dyr59+8wdhtCIR8nRF154gbS0tAduS0tLIzAwsMm+v//+O97e3tTV1f2tY4v2b8uWLSxevNjcYZg4cOAAkydPNncYQgMeJT+3b9/O8uXLm9zeXN2VcVpogUxQ2khmZiahoaH4+vry7LPPEhoayrlz59rs+OYYjLX4AUA0zZw5WlJSgre3N6WlpWrbtm3bHtg2c+ZMAA4dOoTBYGjR/rU4WRdNCw4OxsfHB51Ox9ChQ3nvvfeoqqp6aJ9H+VBljgmrTJLbr7bOz5kzZ7Jr1y71cXFxMd7e3g9su3btGkajkffff79F+5ZxWmiVTFDaQGVlJUajkSlTppCenk5KSgphYWHt6q+zin83c+eoo6Mjbm5uZGRkqG2ZmZm4u7v/pU1RlDaJSZjX9u3byc7O5uDBg5w/f55t27aZOyQhVG2Zn3q93qQOZmRk/KU2ZmRk0Lt3bxwcHB5bHEK0JZmgtIHffvsNgLFjx9KhQwdsbGzw9/enb9++AHz77beMGTMGRVGYOXMmV69eVft6e3uzZ88eRowYgcFgICoqioaGBgDy8vKYNm0aBoMBg8HAokWLuHHjRqvjy8nJITQ0FL1ez7hx40yWzUydOpXNmzcTGhqKTqdjxowZ/PHHH+r22NhYhg8fjsFgIDo6Wj1TnZKSwo4dO0hMTESn0zFu3Di1z9WrV5vcnzAPLeSoXq8nMzMTgPr6ei5evMi0adNM2rKzs9Hr9YDpVZFbt26xdOlSFEUhJCSE8+fPq/tdsmQJBQUFGI1GdDqdyVnH7777jmHDhmEwGOQDsEY99dRTBAQEcPny5SZr1aZNm8jMzGTt2rXodDrWrl0L3P1L3kFBQQwePJiJEyequdQaN2/eZNmyZfj7+xMQEMCmTZuor68H/r8kKyoqCkVRCA4O5uTJk2rf/Px8XnvtNXQ6HdOnT2fNmjXq2eopU6YAoCgKOp2O7OxstV9T+xPa0xb5qSgKZ8+eVetqZmYmr7/+OhcuXDBp+7M23n9V5N5x+t46J+O00DKZoLSBPn360KFDByIiIjh58iQVFRXqtmPHjrFjxw62bt3K6dOn8fX1ZdGiRSb9jx49yv79+zl48CDJycns378fgMbGRubOnUtqaiqJiYkUFRWxZcuWVsVWXFzM3LlzefPNN0lPTyciIoLw8HCTYpSQkMAHH3zA6dOnuXPnDrt37wbgypUrrFmzho0bN5KamkplZSXFxcUABAYGMnfuXMaMGUN2djbx8fHN7k+YjxZyVFEU9YzgxYsXcXd3Z8iQISZtdXV1+Pj4/KXv1q1bycvL4+jRo8TExBAbG6tu27hxIy4uLuoZz9mzZ6vbsrKySEpK4osvviA6Oprc3Ny/9wKKx6awsJCUlBQcHByarFXvvPMOer2eVatWkZ2dzapVqwB45plniI2NJT09nbFjxzJ//nxu377dquNHRERgZWXFkSNHiI2N5dSpUyZLdc6dO0efPn04c+YMs2bNYvny5TQ2NgKwePFifHx8SEtLIywsjLi4OLXfV199Bdw9852dnY1Op2t2f0J72iI/fXx8qK2t5ZdffgHuTkb8/Pzo1auXSduDri7/OU5v2LCB1NRUysvLKSoqAmScFtomE5Q20LlzZ77++mssLCxYuXIlQ4YMwWg0Ulpayt69e5kzZw4eHh5YWVlhNBq5dOmSyRnq2bNnY2dnh4uLC9OmTSMhIQEANzc3/Pz8sLa2xt7enjfeeMPkkm9LxMXFERgYSFBQEJaWlvj5+TFgwACTs3YTJ06kT58+2NjYMHr0aC5dugRAUlISw4cPR6/XY21tTXh4OBYWFs0es6n9CfPRQo4qisLly5epqKggKysLvV5P7969uX79uto2cODABy47S0xMxGg0Ymdnh7OzM1OnTm3R8w4LC8PGxoa+ffvSt29fdbAX5vf222+j1+t59dVXURQFJyenZmvV/caPH0/Xrl2xsrJixowZ1NbWqlcLW6K0tJSUlBSWLVtGp06d6NatG9OnT+fQoUPq77i4uDBp0iQ6dOjAhAkTuHbtGqWlpRQUFHD+/HnCw8OxtrZGr9cTHBzc7DGb2p/QlrbMT2trawYOHEhGRgbl5eXcuHGDnj17qku/ysvLuXLlygMnKElJSQwbNgxFUbC2tmb+/PlYWjb/0U/GaWFuVuYO4L/Cw8OD9evXA5Cbm8uSJUtYt24dBQUFrFu3jqioKPV3GxsbKS4uxtXVFQBnZ2d1m6urKyUlJQCUlZURGRlJZmYmVVVVNDY20qVLl1bFVVBQQFJSEidOnFDb6urqTG4+vndNa8eOHamurgbu3tjs5ORkss3Ozq7ZYza1P2Fe5s7RHj164OTkRFZWFhkZGbzyyisA6HQ6ta2p+09KSkpMYnBxcWnRc+7evbv6b8lFbYmOjmbo0KHq49WrVzdbq+63e/du9u3bR0lJCRYWFlRWVnL9+vUWx1BQUEBdXR3+/v5qW0NDg0mu3Z9DANXV1Vy/fh1bW1u1De6+TwoLCx96zKb2J7SlrfPzzyWwrq6u+Pr6AuDr68uBAwdwdXXF2dlZrcf3un+c7tSpk4zTol2QCYoZeHh4MHHiRL755hucnZ0xGo0maz/vV1hYiKenJ3B3wHR0dATgo48+wsLCgvj4eLp27cqxY8fUta0t5ezszPjx44mMjGz183B0dDQ523Pr1i3Ky8vVxy25miK0yVw56uvrS0ZGBjk5OeqE6M+2rKwsdd3+/RwcHExiaO5DoGh/WlurMjMz2bVrF59//jmenp5YWlqiKEqrlks5OTlhbW3NmTNnsLJq3XDp4OBARUUFNTU16kTj3ryU+vjv8rjzU1EU9u7di6urq3qvyeDBg1mxYoVJ2/0cHR1Nlq7W1NTIOC3aBVni1QZyc3PZvXu3uu6zsLCQhIQEBg4cSGhoKDt37uTy5cvA3RsyExMTTfrHxMRQUVFBYWEhe/bsISQkBICqqio6depEly5dKC4u5rPPPntoHI2Njdy+fVv9qa2tZdy4cZw4cYLU1FTq6+u5ffs2aWlpaqwPM2rUKJKTkzl79iy1tbV88sknJsW1W7duXL16Vb2JT2iXVnJUURTi4uJwdHSkc+fOwN0JSlxcHJWVlQwaNOiB/caMGcPOnTupqKigqKiIL7/80mR79+7dyc/Pb/XrIrSjuVp1//9xVVUVHTp0wN7enrq6OrZu3UplZeVDj1FbW2tSI7t3746fnx/r16+nsrKShoYG8vLySE9PbzZeV1dXBgwYwJYtW6itrSU7O9vk7Lq9vT2WlpaSl/8Sjzs/dTodN2/eJD4+Xr2CYmtri729PfHx8U1eXR41ahQ//PADmZmZ6jh975gs47TQKpmgtIHOnTvz888/8/LLLzNo0CAmTZqEl5cXS5cu5bnnnmPWrFksXLiQwYMHM3bsWFJSUkz6jxgxgokTJ/Liiy8ybNgwXnrpJeDu+vmLFy+i1+uZM2cOzz///EPjSEhIwMfHR/0ZOXIkzs7OfPrpp+zYsYMhQ4YQFBRETExMi4qVp6cnK1euZOHChQQEBPDkk09ib2+v3iMwevRoAAwGAxMmTPg7L51oI1rJUUVRKCsrUwdggH79+nHr1i369+9vslzmXmFhYbi4uDBixAhmzJjB+PHjTbbPmTOHbdu2odfriYmJ+TsvkTCz5mrVtGnTOHz4MIqiEBkZib+/P4GBgYwaNYrg4GCeeOIJk6VZD6LT6Uxq5JkzZ9iwYQN37twhJCQERVEIDw/n2rVrLYr5ww8/JCcnB4PBwObNmwkJCVHrY8eOHTEajUyePBm9Xk9OTs4jvT7CvB53fnbs2JH+/ftTW1uLl5eX2u7r60tZWVmTV1A8PT1ZtWoVixcvJiAggC5dupgs+ZJxWmiVRaN8PYimeXt7c+TIEdzc3MwdSrOqqqpQFIXDhw/Ts2dPc4cj2kh7ylEhzGnBggW4u7sTHh5u7lCEEELT5AqKeCTJycnU1NRQXV1NVFQUXl5e9OjRw9xhCSGE2Z07d468vDwaGhpISUnh+PHjjBw50txhCSGE5slN8uKRHD9+nHfffZfGxkYGDBjAxx9/LDfdCSEEd7+meN68eZSXl+Pk5MTq1at5+umnzR2WEEJonizxEkIIIYQQQmiGLPESQgghhBBCaIZMUIQQQgghhBCaIRMUIYQQQgghhGbIBEUIIYQQQgihGTJBEUIIIYQQQmiGTFCEEEIIIYQQmvE/RD5oPwPZum0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 813.85x720 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from https://seaborn.pydata.org/tutorial/axis_grids.html\n",
    "\n",
    "import seaborn as sns\n",
    "sns.set(style=\"ticks\")\n",
    "\n",
    "iris = pd.read_csv('data/iris.csv')\n",
    "g = sns.pairplot(iris, hue=\"Species\", palette=\"Set2\", kind='reg',\n",
    "                 diag_kind=\"kde\", size=2.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/axisgrid.py:316: UserWarning: The `size` parameter has been renamed to `height`; please update your code.\n",
      "  warnings.warn(msg, UserWarning)\n",
      "/opt/miniconda-latest/envs/neuro/lib/python3.7/site-packages/seaborn/axisgrid.py:645: UserWarning: Using the pointplot function without specifying `order` is likely to produce an incorrect plot.\n",
      "  warnings.warn(warning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from https://seaborn.pydata.org/tutorial/axis_grids.html\n",
    "\n",
    "attend = pd.read_csv('data/attention.csv').query(\"subject <= 12\")\n",
    "g = sns.FacetGrid(attend, col=\"subject\", col_wrap=4, size=2, ylim=(0, 10))\n",
    "g.map(sns.pointplot, \"solutions\", \"score\", color=\".3\", ci=None);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Alternatives to matplotlib\n",
    "* You don't *have* to use `matplotlib`\n",
    "* Some good reasons to use alternatives:\n",
    "    * You want to output to HTML, SVG, etc.\n",
    "    * You want something that plays well with other specs or isn't tied to Python\n",
    "    * You hate matplotlib\n",
    "* Good news! You have many options...\n",
    "    * `bokeh`, `plotly`, ..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<center><img src=\"../slides/images/bokeh_logo.png\" width=\"30%\"></center>\n",
    "\n",
    "* A Python visualization engine that outputs directly to the web\n",
    "* Can render `matplotlib` plots to Bokeh, but not vice versa\n",
    "* Lets you generate [interactive web-based visualizations](https://demo.bokehplots.com/apps/movies) in pure Python (!)\n",
    "* You get interactivity for free, and can easily customize them\n",
    "* Works seamlessly in Jupyter notebooks\n",
    "* Package development is _incredibly_ fast\n",
    "* Biggest drawback may be the inability to output static images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1001\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1001\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1001\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1001\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"18f9e3b6-eeba-41d8-bee9-e74def8ea95b\" data-root-id=\"1002\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"80d1c008-483d-437b-bcbd-6d130c5ff27d\":{\"roots\":{\"references\":[{\"attributes\":{\"below\":[{\"id\":\"1013\"}],\"center\":[{\"id\":\"1016\"},{\"id\":\"1020\"}],\"left\":[{\"id\":\"1017\"}],\"renderers\":[{\"id\":\"1038\"}],\"title\":{\"id\":\"1003\"},\"toolbar\":{\"id\":\"1028\"},\"x_range\":{\"id\":\"1005\"},\"x_scale\":{\"id\":\"1009\"},\"y_range\":{\"id\":\"1007\"},\"y_scale\":{\"id\":\"1011\"}},\"id\":\"1002\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{},\"id\":\"1018\",\"type\":\"BasicTicker\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"field\":\"fill_color\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"field\":\"line_color\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1037\",\"type\":\"Circle\"},{\"attributes\":{\"axis\":{\"id\":\"1013\"},\"ticker\":null},\"id\":\"1016\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"1044\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"axis\":{\"id\":\"1017\"},\"dimension\":1,\"ticker\":null},\"id\":\"1020\",\"type\":\"Grid\"},{\"attributes\":{\"axis_label\":\"Petal Length\",\"formatter\":{\"id\":\"1042\"},\"ticker\":{\"id\":\"1014\"}},\"id\":\"1013\",\"type\":\"LinearAxis\"},{\"attributes\":{\"axis_label\":\"Petal Width\",\"formatter\":{\"id\":\"1044\"},\"ticker\":{\"id\":\"1018\"}},\"id\":\"1017\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"1009\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"1005\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"1007\",\"type\":\"DataRange1d\"},{\"attributes\":{\"text\":\"Iris 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Application\",\"version\":\"2.2.3\"}};\n",
       "  var render_items = [{\"docid\":\"80d1c008-483d-437b-bcbd-6d130c5ff27d\",\"root_ids\":[\"1002\"],\"roots\":{\"1002\":\"18f9e3b6-eeba-41d8-bee9-e74def8ea95b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1002"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Adapted from http://bokeh.pydata.org/en/latest/docs/gallery/iris.html\n",
    "\n",
    "from bokeh.plotting import figure, show, output_notebook\n",
    "from bokeh.sampledata.iris import flowers\n",
    "\n",
    "output_notebook()\n",
    "\n",
    "colormap = {'setosa': 'red', 'versicolor': 'green', 'virginica': 'blue'}\n",
    "colors = [colormap[x] for x in flowers['species']]\n",
    "\n",
    "p = figure(title = \"Iris Morphology\")\n",
    "p.xaxis.axis_label = 'Petal Length'\n",
    "p.yaxis.axis_label = 'Petal Width'\n",
    "\n",
    "p.circle(flowers[\"petal_length\"], flowers[\"petal_width\"],\n",
    "         color=colors, fill_alpha=0.2, size=10)\n",
    "\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div class=\"bk-root\">\n",
       "        <a href=\"https://bokeh.org\" target=\"_blank\" class=\"bk-logo bk-logo-small bk-logo-notebook\"></a>\n",
       "        <span id=\"1088\">Loading BokehJS ...</span>\n",
       "    </div>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "\n",
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "\n",
       "  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n",
       "    root._bokeh_onload_callbacks = [];\n",
       "    root._bokeh_is_loading = undefined;\n",
       "  }\n",
       "\n",
       "  var JS_MIME_TYPE = 'application/javascript';\n",
       "  var HTML_MIME_TYPE = 'text/html';\n",
       "  var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
       "  var CLASS_NAME = 'output_bokeh rendered_html';\n",
       "\n",
       "  /**\n",
       "   * Render data to the DOM node\n",
       "   */\n",
       "  function render(props, node) {\n",
       "    var script = document.createElement(\"script\");\n",
       "    node.appendChild(script);\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when an output is cleared or removed\n",
       "   */\n",
       "  function handleClearOutput(event, handle) {\n",
       "    var cell = handle.cell;\n",
       "\n",
       "    var id = cell.output_area._bokeh_element_id;\n",
       "    var server_id = cell.output_area._bokeh_server_id;\n",
       "    // Clean up Bokeh references\n",
       "    if (id != null && id in Bokeh.index) {\n",
       "      Bokeh.index[id].model.document.clear();\n",
       "      delete Bokeh.index[id];\n",
       "    }\n",
       "\n",
       "    if (server_id !== undefined) {\n",
       "      // Clean up Bokeh references\n",
       "      var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
       "      cell.notebook.kernel.execute(cmd, {\n",
       "        iopub: {\n",
       "          output: function(msg) {\n",
       "            var id = msg.content.text.trim();\n",
       "            if (id in Bokeh.index) {\n",
       "              Bokeh.index[id].model.document.clear();\n",
       "              delete Bokeh.index[id];\n",
       "            }\n",
       "          }\n",
       "        }\n",
       "      });\n",
       "      // Destroy server and session\n",
       "      var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
       "      cell.notebook.kernel.execute(cmd);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  /**\n",
       "   * Handle when a new output is added\n",
       "   */\n",
       "  function handleAddOutput(event, handle) {\n",
       "    var output_area = handle.output_area;\n",
       "    var output = handle.output;\n",
       "\n",
       "    // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
       "    if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
       "      return\n",
       "    }\n",
       "\n",
       "    var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
       "\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
       "      toinsert[toinsert.length - 1].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
       "      // store reference to embed id on output_area\n",
       "      output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
       "    }\n",
       "    if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
       "      var bk_div = document.createElement(\"div\");\n",
       "      bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
       "      var script_attrs = bk_div.children[0].attributes;\n",
       "      for (var i = 0; i < script_attrs.length; i++) {\n",
       "        toinsert[toinsert.length - 1].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
       "        toinsert[toinsert.length - 1].firstChild.textContent = bk_div.children[0].textContent\n",
       "      }\n",
       "      // store reference to server id on output_area\n",
       "      output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function register_renderer(events, OutputArea) {\n",
       "\n",
       "    function append_mime(data, metadata, element) {\n",
       "      // create a DOM node to render to\n",
       "      var toinsert = this.create_output_subarea(\n",
       "        metadata,\n",
       "        CLASS_NAME,\n",
       "        EXEC_MIME_TYPE\n",
       "      );\n",
       "      this.keyboard_manager.register_events(toinsert);\n",
       "      // Render to node\n",
       "      var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "      render(props, toinsert[toinsert.length - 1]);\n",
       "      element.append(toinsert);\n",
       "      return toinsert\n",
       "    }\n",
       "\n",
       "    /* Handle when an output is cleared or removed */\n",
       "    events.on('clear_output.CodeCell', handleClearOutput);\n",
       "    events.on('delete.Cell', handleClearOutput);\n",
       "\n",
       "    /* Handle when a new output is added */\n",
       "    events.on('output_added.OutputArea', handleAddOutput);\n",
       "\n",
       "    /**\n",
       "     * Register the mime type and append_mime function with output_area\n",
       "     */\n",
       "    OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "      /* Is output safe? */\n",
       "      safe: true,\n",
       "      /* Index of renderer in `output_area.display_order` */\n",
       "      index: 0\n",
       "    });\n",
       "  }\n",
       "\n",
       "  // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
       "  if (root.Jupyter !== undefined) {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  \n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\n",
       "  }\n",
       "\n",
       "  var NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
       "     \"<ul>\\n\"+\n",
       "     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n",
       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
       "\n",
       "  function display_loaded() {\n",
       "    var el = document.getElementById(\"1088\");\n",
       "    if (el != null) {\n",
       "      el.textContent = \"BokehJS is loading...\";\n",
       "    }\n",
       "    if (root.Bokeh !== undefined) {\n",
       "      if (el != null) {\n",
       "        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
       "      }\n",
       "    } else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(display_loaded, 100)\n",
       "    }\n",
       "  }\n",
       "\n",
       "\n",
       "  function run_callbacks() {\n",
       "    try {\n",
       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
       "          callback();\n",
       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n",
       "\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      if (url in hashes) {\n",
       "        element.crossOrigin = \"anonymous\";\n",
       "        element.integrity = \"sha384-\" + hashes[url];\n",
       "      }\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  \n",
       "  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\"];\n",
       "  var css_urls = [];\n",
       "  \n",
       "\n",
       "  var inline_js = [\n",
       "    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "    function(Bokeh) {\n",
       "    \n",
       "    \n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    \n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "      \n",
       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "    if (force === true) {\n",
       "        display_loaded();\n",
       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
       "      setTimeout(run_inline_js, 100);\n",
       "    } else if (!root._bokeh_failed_load) {\n",
       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      var cell = $(document.getElementById(\"1088\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n  \n\n  \n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  var NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    var el = document.getElementById(\"1088\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    const hashes = {\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\": \"T2yuo9Oe71Cz/I4X9Ac5+gpEa5a8PpJCDlqKYO0CfAuEszu1JrXLl8YugMqYe3sM\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\": \"98GDGJ0kOMCUMUePhksaQ/GYgB3+NH9h996V88sh3aOiUNX3N+fLXAtry6xctSZ6\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\": \"89bArO+nlbP3sgakeHjCo1JYxYR5wufVgA3IbUvDY+K7w4zyxJqssu7wVnfeKCq8\"};\n\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      if (url in hashes) {\n        element.crossOrigin = \"anonymous\";\n        element.integrity = \"sha384-\" + hashes[url];\n      }\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  \n  var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.2.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.2.3.min.js\"];\n  var css_urls = [];\n  \n\n  var inline_js = [\n    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\n    function(Bokeh) {\n    \n    \n    }\n  ];\n\n  function run_inline_js() {\n    \n    if (root.Bokeh !== undefined || force === true) {\n      \n    for (var i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\n    if (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      var cell = $(document.getElementById(\"1088\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "\n",
       "  <div class=\"bk-root\" id=\"2bd4ff82-79f9-4b9d-bc7a-232766a0f66b\" data-root-id=\"1090\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "    \n",
       "  var docs_json = {\"d2bcfce6-544c-4c66-bd32-329fcc108416\":{\"roots\":{\"references\":[{\"attributes\":{\"above\":[{\"id\":\"1101\"}],\"center\":[{\"id\":\"1103\"},{\"id\":\"1106\"}],\"left\":[{\"id\":\"1104\"}],\"plot_height\":800,\"plot_width\":800,\"renderers\":[{\"id\":\"1116\"}],\"title\":{\"id\":\"1091\"},\"toolbar\":{\"id\":\"1109\"},\"x_range\":{\"id\":\"1093\"},\"x_scale\":{\"id\":\"1097\"},\"y_range\":{\"id\":\"1095\"},\"y_scale\":{\"id\":\"1099\"}},\"id\":\"1090\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"axis_line_color\":null,\"formatter\":{\"id\":\"1122\"},\"major_label_orientation\":1.0471975511965976,\"major_label_standoff\":0,\"major_label_text_font_size\":\"5pt\",\"major_tick_line_color\":null,\"ticker\":{\"id\":\"1102\"}},\"id\":\"1101\",\"type\":\"CategoricalAxis\"},{\"attributes\":{\"data_source\":{\"id\":\"1089\"},\"glyph\":{\"id\":\"1113\"},\"hover_glyph\":{\"id\":\"1115\"},\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1114\"},\"selection_glyph\":null,\"view\":{\"id\":\"1117\"}},\"id\":\"1116\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1105\",\"type\":\"CategoricalTicker\"},{\"attributes\":{},\"id\":\"1102\",\"type\":\"CategoricalTicker\"},{\"attributes\":{\"text\":\"Les 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es\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\",\"Myriel\",\"Napoleon\",\"Mlle.Baptistine\",\"Mme.Magloire\",\"CountessdeLo\",\"Geborand\",\"Champtercier\",\"Cravatte\",\"Count\",\"OldMan\",\"Labarre\",\"Valjean\",\"Marguerite\",\"Mme.deR\",\"Isabeau\",\"Gervais\",\"Tholomyes\",\"Listolier\",\"Fameuil\",\"Blacheville\",\"Favourite\",\"Dahlia\",\"Zephine\",\"Fantine\",\"Mme.Thenardier\",\"Thenardier\",\"Cosette\",\"Javert\",\"Fauchelevent\",\"Bamatabois\",\"Perpetue\",\"Simplice\",\"Scaufflaire\",\"Woman1\",\"Judge\",\"Champmathieu\",\"Brevet\",\"Chenildieu\",\"Cochepaille\",\"Pontmercy\",\"Boulatruelle\",\"Eponine\",\"Anzelma\",\"Woman2\",\"MotherInnocent\",\"Gribier\",\"Jondrette\",\"Mme.Burgon\",\"Gavroche\",\"Gillenormand\",\"Magnon\",\"Mlle.Gillenormand\",\"Mme.Pontmercy\",\"Mlle.Vaubois\",\"Lt.Gillenormand\",\"Marius\",\"BaronessT\",\"Mabeuf\",\"Enjolras\",\"Combeferre\",\"Prouvaire\",\"Feuilly\",\"Courfeyrac\",\"Bahorel\",\"Bossuet\",\"Joly\",\"Grantaire\",\"MotherPlutarch\",\"Gueulemer\",\"Babet\",\"Claquesous\",\"Montparnasse\",\"Toussaint\",\"Child1\",\"Child2\",\"Brujon\",\"Mme.Hucheloup\"]},\"selected\":{\"id\":\"1124\"},\"selection_policy\":{\"id\":\"1123\"}},\"id\":\"1089\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"1097\",\"type\":\"CategoricalScale\"},{\"attributes\":{},\"id\":\"1099\",\"type\":\"CategoricalScale\"},{\"attributes\":{\"factors\":[\"Child2\",\"Child1\",\"MotherPlutarch\",\"Mme.Hucheloup\",\"Grantaire\",\"Joly\",\"Bossuet\",\"Bahorel\",\"Courfeyrac\",\"Feuilly\",\"Prouvaire\",\"Combeferre\",\"Enjolras\",\"Mabeuf\",\"Marius\",\"Gavroche\",\"Mme.Burgon\",\"Jondrette\",\"Boulatruelle\",\"Toussaint\",\"BaronessT\",\"Lt.Gillenormand\",\"Mlle.Vaubois\",\"Mme.Pontmercy\",\"Mlle.Gillenormand\",\"Magnon\",\"Gillenormand\",\"Woman2\",\"Cosette\",\"Brujon\",\"Montparnasse\",\"Claquesous\",\"Babet\",\"Gueulemer\",\"Anzelma\",\"Eponine\",\"Pontmercy\",\"Javert\",\"Thenardier\",\"Mme.Thenardier\",\"Perpetue\",\"Fantine\",\"Zephine\",\"Dahlia\",\"Favourite\",\"Blacheville\",\"Fameuil\",\"Listolier\",\"Tholomyes\",\"Marguerite\",\"Cochepaille\",\"Chenildieu\",\"Brevet\",\"Champmathieu\",\"Judge\",\"Woman1\",\"Scaufflaire\",\"Simplice\",\"Bamatabois\",\"Gervais\",\"Isabeau\",\"Mme.deR\",\"Valjean\",\"Labarre\",\"OldMan\",\"Count\",\"Cravatte\",\"Champtercier\",\"Geborand\",\"CountessdeLo\",\"Mme.Magloire\",\"Mlle.Baptistine\",\"Napoleon\",\"Myriel\",\"Gribier\",\"MotherInnocent\",\"Fauchelevent\"]},\"id\":\"1093\",\"type\":\"FactorRange\"}],\"root_ids\":[\"1090\"]},\"title\":\"Bokeh Application\",\"version\":\"2.2.3\"}};\n",
       "  var render_items = [{\"docid\":\"d2bcfce6-544c-4c66-bd32-329fcc108416\",\"root_ids\":[\"1090\"],\"roots\":{\"1090\":\"2bd4ff82-79f9-4b9d-bc7a-232766a0f66b\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1090"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "from bokeh.plotting import figure, show, output_notebook\n",
    "from bokeh.models import HoverTool, ColumnDataSource\n",
    "from bokeh.sampledata.les_mis import data\n",
    "\n",
    "output_notebook()\n",
    "\n",
    "nodes = data['nodes']\n",
    "names = [node['name'] for node in sorted(data['nodes'], key=lambda x: x['group'])]\n",
    "\n",
    "N = len(nodes)\n",
    "counts = np.zeros((N, N))\n",
    "for link in data['links']:\n",
    "    counts[link['source'], link['target']] = link['value']\n",
    "    counts[link['target'], link['source']] = link['value']\n",
    "\n",
    "colormap = [\"#444444\", \"#a6cee3\", \"#1f78b4\", \"#b2df8a\", \"#33a02c\", \"#fb9a99\",\n",
    "            \"#e31a1c\", \"#fdbf6f\", \"#ff7f00\", \"#cab2d6\", \"#6a3d9a\"]\n",
    "\n",
    "xname = []\n",
    "yname = []\n",
    "color = []\n",
    "alpha = []\n",
    "for i, node1 in enumerate(nodes):\n",
    "    for j, node2 in enumerate(nodes):\n",
    "        xname.append(node1['name'])\n",
    "        yname.append(node2['name'])\n",
    "\n",
    "        alpha.append(min(counts[i,j]/4.0, 0.9) + 0.1)\n",
    "\n",
    "        if node1['group'] == node2['group']:\n",
    "            color.append(colormap[node1['group']])\n",
    "        else:\n",
    "            color.append('lightgrey')\n",
    "\n",
    "source = ColumnDataSource(data=dict(xname=xname, yname=yname, colors=color,\n",
    "                                    alphas=alpha, count=counts.flatten()))\n",
    "\n",
    "p = figure(title=\"Les Mis Occurrences\",\n",
    "           x_axis_location=\"above\", tools=\"hover,save\",\n",
    "           x_range=list(reversed(names)), y_range=names)\n",
    "\n",
    "p.plot_width = 800\n",
    "p.plot_height = 800\n",
    "p.grid.grid_line_color = None\n",
    "p.axis.axis_line_color = None\n",
    "p.axis.major_tick_line_color = None\n",
    "p.axis.major_label_text_font_size = \"5pt\"\n",
    "p.axis.major_label_standoff = 0\n",
    "p.xaxis.major_label_orientation = np.pi/3\n",
    "\n",
    "p.rect('xname', 'yname', 0.9, 0.9, source=source,\n",
    "       color='colors', alpha='alphas', line_color=None,\n",
    "       hover_line_color='black', hover_color='colors')\n",
    "\n",
    "p.select_one(HoverTool).tooltips = [('names', '@yname, @xname'),\n",
    "                                    ('count', '@count')]\n",
    "\n",
    "show(p) # show the plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "<center><img src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/3/37/Plotly-logo-01-square.png/800px-Plotly-logo-01-square.png\" width=\"50%\"></center>\n",
    "\n",
    "* [Plot.ly](https://plot.ly/python/) fills the same niche as Bokeh - web-based visualization via other languages\n",
    "* Lets you build visualizations either in native code or online"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adapted from https://plot.ly/python/ipython-notebook-tutorial/\n",
    "\n",
    "import plotly\n",
    "plotly.offline.init_notebook_mode()\n",
    "import plotly.figure_factory as ff\n",
    "from plotly.graph_objs import *\n",
    "\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('data/school_earnings.csv')\n",
    "table = ff.create_table(df)\n",
    "\n",
    "trace_women = Bar(x=df.School, y=df.Women, name='Women', marker=dict(color='#ffcdd2'))\n",
    "trace_men = Bar(x=df.School, y=df.Men, name='Men', marker=dict(color='#A2D5F2'))\n",
    "trace_gap = Bar(x=df.School, y=df.Gap, name='Gap', marker=dict(color='#59606D'))\n",
    "\n",
    "data = [trace_women, trace_men, trace_gap]\n",
    "layout = Layout(title=\"Average Earnings for Graduates\",\n",
    "                xaxis=dict(title='School'),\n",
    "                yaxis=dict(title='Salary (in thousands)'))\n",
    "fig = Figure(data=data, layout=layout)\n",
    "\n",
    "plotly.offline.iplot(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adapted from https://plot.ly/python/line-and-scatter/\n",
    "\n",
    "import plotly\n",
    "plotly.offline.init_notebook_mode()\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "# Create random data with numpy\n",
    "import numpy as np\n",
    "\n",
    "N = 100\n",
    "random_x = np.linspace(0, 1, N)\n",
    "random_y0 = np.random.randn(N) + 5\n",
    "random_y1 = np.random.randn(N)\n",
    "random_y2 = np.random.randn(N) - 5\n",
    "\n",
    "# Create traces\n",
    "trace0 = go.Scatter(x=random_x, y=random_y0, mode='lines', name='lines')\n",
    "trace1 = go.Scatter(x=random_x, y=random_y1, mode='lines+markers', name='lines+markers')\n",
    "trace2 = go.Scatter(x=random_x, y=random_y2, mode='markers', name='markers')\n",
    "data = [trace0, trace1, trace2]\n",
    "\n",
    "plotly.offline.iplot(data, filename='line-mode')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# Adapted from https://plot.ly/python/continuous-error-bars/\n",
    "\n",
    "import plotly\n",
    "plotly.offline.init_notebook_mode()\n",
    "import plotly.graph_objs as go\n",
    "import pandas as pd\n",
    "\n",
    "df = pd.read_csv('data/wind_speed_laurel_nebraska.csv')\n",
    "\n",
    "upper_bound = go.Scatter(\n",
    "    name='Upper Bound', x=df['Time'], y=df['10 Min Sampled Avg'] + df['10 Min Std Dev'], mode='lines',\n",
    "    marker=dict(color=\"#444444\"), line=dict(width=0), fillcolor='rgba(68, 68, 68, 0.3)', fill='tonexty')\n",
    "\n",
    "trace = go.Scatter(\n",
    "    name='Measurement', x=df['Time'], y=df['10 Min Sampled Avg'], mode='lines',\n",
    "    line=dict(color='rgb(31, 119, 180)'), fillcolor='rgba(68, 68, 68, 0.3)', fill='tonexty')\n",
    "\n",
    "lower_bound = go.Scatter(\n",
    "    name='Lower Bound', x=df['Time'], y=df['10 Min Sampled Avg']-df['10 Min Std Dev'],\n",
    "    marker=dict(color=\"#444444\"), line=dict(width=0), mode='lines')\n",
    "\n",
    "# Trace order can be important with continuous error bars\n",
    "data = [lower_bound, trace, upper_bound]\n",
    "\n",
    "layout = go.Layout(yaxis=dict(title='Wind speed (m/s)'),\n",
    "                   title='Continuous, variable value error bars.', showlegend = False)\n",
    "\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "plotly.offline.iplot(fig, filename='pandas-continuous-error-bars')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Adapted from https://plot.ly/python/3d-surface-plots/\n",
    "\n",
    "import plotly\n",
    "plotly.offline.init_notebook_mode()\n",
    "import plotly.graph_objs as go\n",
    "import pandas as pd\n",
    "\n",
    "# Read data from a csv\n",
    "z_data = pd.read_csv('data/mt_bruno_elevation.csv')\n",
    "\n",
    "data = [go.Surface(z=z_data)]\n",
    "layout = go.Layout(autosize=True, width=500, height=500, margin=dict(l=65, r=50, b=65, t=90))\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "plotly.offline.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# So... what should you use?\n",
    "* I have no idea - there are too many options!\n",
    "* Okay, some tentative recommendations:\n",
    "    * Use seaborn for exploration (runners-up: pandas and ggplot)\n",
    "    * Bokeh or plot.ly if you want to output interactive visualizations to the web\n",
    "    * For everything else... matplotlib (still)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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