analysis/starpu.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysis of STAR-PU Data \n",
    "## Comparing data collected with OpenSafely Codes versus BRIT codes   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import pyplot\n",
    "import seaborn as sns\n",
    "import math\n",
    "import numpy as np\n",
    "import os\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "c:\\Users\\m84300af\\OneDrive - The University of Manchester\\Documents\\GitHub\\amr-uom-brit\n"
     ]
    }
   ],
   "source": [
    "os.chdir(\"..\")\n",
    "current_working_dir = os.getcwd()\n",
    "print(current_working_dir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>practice_brit</th>\n",
       "      <th>antibacterial_brit</th>\n",
       "      <th>population_brit</th>\n",
       "      <th>value_brit</th>\n",
       "      <th>date_brit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9</td>\n",
       "      <td>0.444444</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15</td>\n",
       "      <td>32.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1.882353</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   practice_brit  antibacterial_brit  population_brit  value_brit   date_brit\n",
       "0             11                 7.0                4    1.750000  2020-10-01\n",
       "1             12                 6.0                3    2.000000  2020-10-01\n",
       "2             13                 3.0                3    1.000000  2020-10-01\n",
       "3             14                 4.0                9    0.444444  2020-10-01\n",
       "4             15                32.0               17    1.882353  2020-10-01"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_brit = pd.read_csv(r'output/measures/measure_antibiotics_overall_brit.csv')\n",
    "data_brit = data_brit.rename(columns={\"practice\": \"practice_brit\", \"population\": \"population_brit\", \"value\": \"value_brit\", \"date\": \"date_brit\"})\n",
    "data_brit.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>practice_os</th>\n",
       "      <th>antibacterial_os</th>\n",
       "      <th>population_os</th>\n",
       "      <th>value_os</th>\n",
       "      <th>date_os</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17</td>\n",
       "      <td>1.294118</td>\n",
       "      <td>2020-10-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   practice_os  antibacterial_os  population_os  value_os     date_os\n",
       "0           11               3.0              4  0.750000  2020-10-01\n",
       "1           12               0.0              3  0.000000  2020-10-01\n",
       "2           13               3.0              3  1.000000  2020-10-01\n",
       "3           14              21.0              9  2.333333  2020-10-01\n",
       "4           15              22.0             17  1.294118  2020-10-01"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_os = pd.read_csv(r'output/measures/measure_antibiotics_overall_os.csv')\n",
    "data_os = data_os.rename(columns={\"practice\": \"practice_os\", \"population\": \"population_os\", \"value\": \"value_os\", \"date\": \"date_os\"})\n",
    "data_os.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>practice_os</th>\n",
       "      <th>antibacterial_os</th>\n",
       "      <th>population_os</th>\n",
       "      <th>value_os</th>\n",
       "      <th>date_os</th>\n",
       "      <th>practice_brit</th>\n",
       "      <th>antibacterial_brit</th>\n",
       "      <th>population_brit</th>\n",
       "      <th>value_brit</th>\n",
       "      <th>date_brit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.750000</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>14.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>2.333333</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>15.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.294118</td>\n",
       "      <td>2020-10-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   practice_os  antibacterial_os  population_os  value_os     date_os  \\\n",
       "0         11.0               3.0            4.0  0.750000  2020-10-01   \n",
       "1         12.0               0.0            3.0  0.000000  2020-10-01   \n",
       "2         13.0               3.0            3.0  1.000000  2020-10-01   \n",
       "3         14.0              21.0            9.0  2.333333  2020-10-01   \n",
       "4         15.0              22.0           17.0  1.294118  2020-10-01   \n",
       "\n",
       "   practice_brit  antibacterial_brit  population_brit  value_brit date_brit  \n",
       "0            NaN                 NaN              NaN         NaN       NaN  \n",
       "1            NaN                 NaN              NaN         NaN       NaN  \n",
       "2            NaN                 NaN              NaN         NaN       NaN  \n",
       "3            NaN                 NaN              NaN         NaN       NaN  \n",
       "4            NaN                 NaN              NaN         NaN       NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = data_os.append(data_brit, sort=False)\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 900 entries, 0 to 449\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype  \n",
      "---  ------              --------------  -----  \n",
      " 0   practice_os         450 non-null    float64\n",
      " 1   antibacterial_os    450 non-null    float64\n",
      " 2   population_os       450 non-null    float64\n",
      " 3   value_os            450 non-null    float64\n",
      " 4   date_os             450 non-null    object \n",
      " 5   practice_brit       450 non-null    float64\n",
      " 6   antibacterial_brit  450 non-null    float64\n",
      " 7   population_brit     450 non-null    float64\n",
      " 8   value_brit          450 non-null    float64\n",
      " 9   date_brit           450 non-null    object \n",
      "dtypes: float64(8), object(2)\n",
      "memory usage: 77.3+ KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>practice_os</th>\n",
       "      <th>antibacterial_os</th>\n",
       "      <th>population_os</th>\n",
       "      <th>value_os</th>\n",
       "      <th>practice_brit</th>\n",
       "      <th>antibacterial_brit</th>\n",
       "      <th>population_brit</th>\n",
       "      <th>value_brit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "      <td>450.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>24.857778</td>\n",
       "      <td>39.346667</td>\n",
       "      <td>31.111111</td>\n",
       "      <td>1.308774</td>\n",
       "      <td>24.857778</td>\n",
       "      <td>39.142222</td>\n",
       "      <td>31.111111</td>\n",
       "      <td>1.245399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.561534</td>\n",
       "      <td>36.946416</td>\n",
       "      <td>28.787542</td>\n",
       "      <td>0.702040</td>\n",
       "      <td>9.561534</td>\n",
       "      <td>36.846123</td>\n",
       "      <td>28.787542</td>\n",
       "      <td>0.691391</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.013623</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>25.000000</td>\n",
       "      <td>27.500000</td>\n",
       "      <td>22.500000</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>28.500000</td>\n",
       "      <td>22.500000</td>\n",
       "      <td>1.241212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>33.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>70.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>1.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>46.000000</td>\n",
       "      <td>147.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>46.000000</td>\n",
       "      <td>131.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       practice_os  antibacterial_os  population_os    value_os  \\\n",
       "count   450.000000        450.000000     450.000000  450.000000   \n",
       "mean     24.857778         39.346667      31.111111    1.308774   \n",
       "std       9.561534         36.946416      28.787542    0.702040   \n",
       "min       4.000000          0.000000       1.000000    0.000000   \n",
       "25%      17.000000          5.000000       4.000000    1.013623   \n",
       "50%      25.000000         27.500000      22.500000    1.250000   \n",
       "75%      33.000000         70.000000      57.000000    1.500000   \n",
       "max      46.000000        147.000000     102.000000    4.000000   \n",
       "\n",
       "       practice_brit  antibacterial_brit  population_brit  value_brit  \n",
       "count     450.000000          450.000000       450.000000  450.000000  \n",
       "mean       24.857778           39.142222        31.111111    1.245399  \n",
       "std         9.561534           36.846123        28.787542    0.691391  \n",
       "min         4.000000            0.000000         1.000000    0.000000  \n",
       "25%        17.000000            5.000000         4.000000    1.000000  \n",
       "50%        25.000000           28.500000        22.500000    1.241212  \n",
       "75%        33.000000           70.000000        57.000000    1.500000  \n",
       "max        46.000000          131.000000       102.000000    5.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "frequenciesPractices = data[['practice_os', 'practice_brit']].apply(pd.value_counts)\n",
    "ax = frequenciesPractices.sort_index().plot.bar(rot=0, figsize=(15,5), width=0.6, edgecolor='None')\n",
    "ax.spines[\"right\"].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.tick_params(axis='both', direction='out')\n",
    "plt.grid(True)\n",
    "# #plt.xlim(0, 100)\n",
    "#plt.ylim(0, 130)\n",
    "plt.xlabel('Practice')\n",
    "plt.ylabel('Frequency')\n",
    "#plt.title('Frequency of practices')\n",
    "plt.savefig(r'output/practices.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "size = (10,5)\n",
    "fig, ax = pyplot.subplots(figsize=size)\n",
    "sns.kdeplot(data=data[['practice_brit', 'practice_os']], fill=True, alpha=.1, linewidth=1)\n",
    "plt.xlabel('Practice')\n",
    "plt.title('Kernel density estimate of hisotgram of practices')\n",
    "fig.savefig(r'output/practices_KDE.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[['practice_brit', 'practice_os']].plot(kind='kde', figsize=(10,5))\n",
    "plt.xlim(left=0)\n",
    "plt.savefig(r'output/Practice_KDEE.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#g = sns.JointGrid(data=data, x=\"practice_os\", y=\"practice_brit\")\n",
    "#g.plot_joint(sns.histplot)\n",
    "#g.plot_marginals(sns.boxplot)\n",
    "#g.savefig(r'output/practices_jointhistbox.png', edgecolor='none')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#a = sns.jointplot(data=data, x=\"practice_os\", y=\"practice_brit\", kind=\"kde\")\n",
    "#a.savefig(r'output/practice_joint.png', edgecolor='none')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "frequenciesPractices = data[['antibacterial_os', 'antibacterial_brit']].apply(pd.value_counts)\n",
    "ax = frequenciesPractices.sort_index().plot.bar(rot=90, figsize=(20,5), width=0.6, edgecolor='None')\n",
    "ax.spines[\"right\"].set_visible(False)\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.tick_params(axis='both', direction='out')\n",
    "plt.grid(True)\n",
    "# #plt.xlim(0, 100)\n",
    "#plt.ylim(0, 130)\n",
    "plt.xlabel('Antibiotics')\n",
    "plt.ylabel('Frequency')\n",
    "#plt.title('Frequency of antibiotics')\n",
    "plt.savefig(r'output/antibiotics.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#size = (10,5)\n",
    "#fig, ax = pyplot.subplots(figsize=size)\n",
    "#sns.kdeplot(ax = ax, data=data[['antibacterial_os', 'antibacterial_brit']], fill=True, alpha=.1, linewidth=1)\n",
    "#plt.xlabel('Antibiotics')\n",
    "#plt.title('Kernel density estimate of hisotgram of antiobiotics')\n",
    "#plt.xlim(left=0)\n",
    "#plt.savefig(r'output/antiobiotics_KDE.png')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.histplot(data=data[['antibacterial_os', 'antibacterial_brit']], fill=True, alpha=.1, linewidth=1, kde=True)\n",
    "#plt.savefig(r'output/antiobiotics_KDE.png')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data[['antibacterial_os', 'antibacterial_brit']].plot(kind='kde', figsize=(10,5))\n",
    "plt.xlim(left=0)\n",
    "plt.savefig(r'output/antiobiotics_KDEE.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataNoNan = data[data[['antibacterial_os', 'antibacterial_brit']].notna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:xlabel='antibacterial_os', ylabel='antibacterial_os'>,\n",
       "        <AxesSubplot:xlabel='antibacterial_brit', ylabel='antibacterial_os'>],\n",
       "       [<AxesSubplot:xlabel='antibacterial_os', ylabel='antibacterial_brit'>,\n",
       "        <AxesSubplot:xlabel='antibacterial_brit', ylabel='antibacterial_brit'>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x432 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "scatter_matrix(dataNoNan[['antibacterial_os', 'antibacterial_brit']], alpha=0.2, figsize=(6, 6)#, diagonal='kde'\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#g = sns.JointGrid(data=data, x=\"antibacterial_os\", y=\"antibacterial_brit\")\n",
    "#g.plot_joint(sns.histplot)\n",
    "#g.plot_marginals(sns.boxplot)\n",
    "#g.savefig(r'output/antiobiotics_jointhistbox.png', edgecolor='none')\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#dataNoNan = data[data[['antibacterial_os', 'antibacterial_brit']].notna()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VZOKSJEmSWhWZuCRJkqRWRSYuSZKkVk6tbVCjjVZPJi5JkqRWrqhM3dwh3FAycUmSJEmtikxckiRJUqsiE5ckSZLUqsjEJUmSJLUqMnFJkiRJrYpMXJIkSa3dzVUNLxOXJEmS1LrIxCVJkiS1KjJxSZIkSa2KTFySJEmt3E22xCUTlyRJktS63JDEpSjKSkVRMhRFCb3isncVRUlWFOVsxdd9V1z3uqIoUYqiXFQU5Z4bEaMkSZLUOtyoEddqYEw1l38jhOhf8bUfQFEUb+BxoHfFfX5SFMXwBsUpSZLU6sipwiYghDgG5NTz5mOBzUKIMiFELBAF+DVZcJIkSa2cEDdX6mruNa6nFEU5XzGVaF9xmTuQeMVtkiouu4qiKPMVRQlUFCUwMzOzqWOVJElqMa58/ysuKm7ucG6o5kxci4GuQH8gFfiqoQ8ghFgqhPAVQvg6Ozs3cniSJEkt15Xvf5ZWls0dzg3VbIlLCJEuhNAKIXTAMv6dDkwGOlxxU4+KyyRJkqRq3GQzhc2XuBRFcbvi10eAyxWHe4HHFUUxVRSlM9Ad8L/R8UmSJEktk9GNeBJFUTYBtwFOiqIkAe8AtymK0h99QUwcsABACHFBUZStQBigAZ4UQmhvRJySJEmt0U024LoxiUsIMamai1fUcvuPgI+aLiJJkiSptWruqkJJkiTpOslyeEmSJElqwWTikiRJauVurvGWTFySJEmt302WuWTikiRJauV0co1LkiRJak1urrQlE5ckSVKrJ0dckiRJUqtyk+UtmbgkSZJaO7mPS5IkSWpVdDdX3pKJS5IkqbW7yQZcMnFJkiS1drI4Q5IkSWpVZOKSJEmSWhXtTbbIJROXJElSKycTlyRJktSqCKBco2vuMG4YmbgkSZLagEKVurlDuGFk4pIkSWoD8ktl4pIkSZJakczCsuYO4YaRiUuSJKkNyJCJS5IkSWpNZOKSJEmSWg0FyChUNXcYN4xMXJIkSa2ckaEBmQVyxCVJkiS1EsaGCin5pc0dxg0jE5ckSVIrZ2JkQHx2SXOHccMYNXcAkiS1PKXlWjILyygu1+BgaUI7a1MURWnusKQamBoZkpqvorRci7mJYXOH0+Rk4pKkm1xJuYaziXmcScjjbGIeYSkFJOdVnXbq4mzJE7d149GB7jKBtUCmRgaogbjsYnq52TR3OE1OJi5JukkIIcgtUZOYU0JURhEXUgoISsjlQnI+moomrV2cLBnYyZ7HBnfAzdYMS1MjMgpUbA1M4qVt54hILeCtB7yb+ZVI/2VSkbhiMmXikiSplSpQqTl6MRP/2BwuZRSSlFtKZmEZZVc0YjUzNqCfux3zR3ZhsKcDAzvaY2thXO3jzRjuyTt7L7D8n1hu9XJmlJfzjXopUj2YGRlSZqAQlprP/f3cmjucJicTlyS1ISFJ+Sz9O4Y/LqRRptFhaWJID1drfDvZ42JjhouNGe725nRrZ0UnBwuMDOtXn6UoCm/e34vjUVm8uSuE358biaWpfPtoKRQFurtYE5Jc0Nyh3BA35F+eoigrgQeADCFEn4rLvgAeBMqBaGCWECJPURRPIBy4WHH3U0KIhTciTklqraIyCvn0t4scCk/H2syIib4deHiAOz4etvVOTnUxNTLkk3H9eGzpST7cF84n4/o2yuNKjaOvuw2HwjMQQrT5dcgb9ZFpNfADsPaKyw4CrwshNIqifAa8DrxacV20EKL/DYpNklqtQpWarw9GsuZEHBYmRrx0txczhntibVb9lN/18uvswPxbu7DkWAxCCN56wBsrOfJqEfq627I1MImUfBXudubNHU6TuiH/4oQQxypGUlde9scVv54Cxt+IWCSprfgzIp03d4WSVqBisl9HXhjthaOVaZM/78v39EBRFJYci+ZoZCb/e8CbMX1c2/yn/JbOp4MdAEHxuW0+cbWUDcizgd+u+L2zoihnFEU5qijKrTXdSVGU+YqiBCqKEpiZmdn0UUpSC1CgUvPi1nPMXh2ItZkROxcN56NH+t6QpAX69kKv3duT7QuHYWdhwqINwby8/TwqtfaGPL+k99/3v97tbbE2M+JkdFZzh9bkmn2MryjKm4AG2FBxUSrQUQiRrSjKIGC3oii9hRBXrToKIZYCSwF8fX3FjYpZkprLyehsXtx6lvTCMp65oxtP3dEdE6Pm+fw5qJMDvzw1gu/+jOK7w5fIKirjx8kDZdHGDfLf9z9DA4WhXRw5HpXdzJE1vWb9F6Yoykz0RRt3CiEEgBCiDCir+DlIUZRowAsIbK44Jam5abQ6vj18iR/+isLT0ZIdi4bTv2JqqDkZGRrwwmgv3GzNeHNXCON+OsEEXw+crEzJLSknIaeE+OwSknNL0eh0OFqa8txd3Rnezam5Q2+Thnd15GBYOok5JXRwsGjucJpMsyUuRVHGAK8Ao4QQJVdc7gzkCCG0iqJ0AboDMc0UpiQ1u9T8Up7aeIag+FzGD/Lg/bG9sTBpWaOaSX4dcbcz5/WdIXy4L7zycnNjQzydLOnoaIGJkQHnk/KYttKfT8f1ZYJvh2aMuG0a3lX/geCfqCwm+XVs5miazo0qh98E3AY4KYqSBLyDvorQFDhYsah7uex9JPC+oihqQAcsFELk3Ig4JamlOXIxgxe2nqNMreXbx/sztr97c4dUo5Fezhx/7Q7ySsrJKirH3sIYewsTDAz+LdooVKmZszqQd/deYNxADwwNZEFHY/JyscLD3pw/LqTJxHW9hBCTqrl4RQ233QHsaNqIJKll0+kEP/wVxTeHIunhYs0PkwfSrZ1Vc4dVL3YWJthZmFR7nbWZMeMGuuMfl0NKXmmbns5qDoqicE9vV9adjKdQpW6ybRHNraVUFUqSVCG/RM3ctYF8fTCSsT7t2fXEiFaTtOrD2Vpf/ZhdXN7MkbRN9/R2pVyr48jFtltpLROXJLUgF9MKefin4/x9KZMPxvbmm8f6t7ljKlRqfb9E02aqhmzrBnWyx9HShAMX0po7lCbTslZ4JekmdjAsnWc3n8HS1IhN84bi6+nQ3CE1ibQCFQAuNmbNHEnbZGigcF9fN7YGJpJfqsbWvO1NF8qPPJLUzIQQfHf4EvPWBtK9nRW/Pn1Lm01aAHFZxViZGmFfQyd66fpN9O1AmUbH3nMpzR1Kk5CJS5KakUqt5fktZ/n6YCSPDHBny4JhbX4kEpFWQE9Xa9kiqgn1cbehp6s12wITmzuUJiETlyQ1k+yiMiYvO8Xusym8dLcXX0/0wcy4ba1n/ZdOJwhPLbwpDjtsToqiMNG3A+eT8glPbXtHncjEJUnN4FK6vgjjQkoBi6cM5Kk7ut8UI5C47GKKyjT0cZeJq6k9PMAdY0OFbYFJzR1Ko5OJS5JusONRWYxbfILSch1bFgzj3r5t/8Tay0KS8wHo52HXvIHcBBwsTRjt7cKuM0mUX3HydVsgqwol6Qba7J/AW7tD6epsxcpZg6/p+IlyjY7I9EIuZRSSW6zG0EChg4M5vp4O2LTwDadnEvIwNzakexval9aSTfDtwP6QNA6Hp7epD0gycUnSDaDTCb784yI/HYlmlJczP0we0KCuBjnF5RwKS+dgeDrHo7IoKb/6CBELE0Nmj+jMM3c2X8f4upxNzKNvI57KLNVuZHdnXG3M2BqYKBOXJEn1V6bR8vK28+w9l8Ikv458MLZ3vd64C1Vqfr+Qzt5zKRyPykKrE7jbmTNuoDtDuzjS09UGZytTyrRaYjKL2Xg6gR/+iuJoZCZLpg2ifQs7TFCl1nIhJZ/Zt3Ru7lBuGoYGCo8OcmfxkWjS8lW42raNilWZuCSpCeWXqpm/NpDTsTm8MqYHi0Z1rbUIQ63VcfRiJrvOJHMoPJ0yjQ4Pe3Pmj+zC/X3d6N3eppr7G9PO2oyhXRy5v58bL249x8L1QWxbOAxTo5ZTpXghpQC1VjCgg31zh3JTmTCoAz/+Fc2O4CSevL1bc4fTKGTikqQmkpJXyqxVAcRkFdXZ2T01v5T1p+LZEpBEVlEZDpYmPDa4A2P7t2dgR/t6Vxze09sVJsKCdUF8fTCS1+/t1Vgv57qFpegLM/p62DZzJDcXTydLhnR2YFtgIk/cVvsHp9ZCJi5JagKR6YXMWOlPoUrDqpl+3NK9+oMTE3NK+L9Dl9hzNhmdENzRsx2PDe7IbT2cMb7GdaB7ersybqA7q4/HsWhU1xo7td9oYakF2FkY076NTFe1JhN9O/DitnMExOXi17n1d2WRiUuSGllAXA5zVgdgamzI1gXD8G5/9Z6l/FI13x66xLpTcRgaKEwd2ok5t3RutGM+Zo/ozM7gZH6/kMZjg1vGuUyhyQV4u1U31Sk1tXv7uvLO3gtsCUhsE4lLlvZIUiM6HJ7O1OWncbIyZeei4dUmrX3nU7nzqyOsOhHLowM9OPLS7bz7UO9GPZuqd3sbnK1NOR6V3WiPeT1Uai0RaQVy/1YzsTAx4oF+bvwWmkpJuaa5w7luMnFJUiPZHpTE/HVB9HC1ZtvCYVclogKVmmc2neHJjcG425nzy1O38Omj/Zqk0ktRFHw8bIlML2z0x74WIcn5+sKMjnbNHcpNa9xAD0rKtfzeBo47kVOFknSdhBAsPhrN5wcucmt3J36eOghL06p/WkHxOTyz6SxpBSpeHO3Fotu61lgSr9bqSM4tpUClpquz1VWPVV9utuYExOVe030b28lo/cjPrw13vW/pfDvZ08HBnJ3ByTwywKO5w7kuMnFJ0nXQ6gTv/XKBtSfjecinPV9M6FelBF0IwYp/Yvn0twjc7MzYtnAYAzteXQ6uUus/Ce85m8LpmGyKKzYYW5oYMsG3A+886N3gtSFF0X+1BEcjM+nnYYu9ZcsoFLkZGRgoPNLfnR/+imr1e7pk4pKka6RSa3l28xl+v5DOvFs78/q9vTAw+DdTlJZreXWHfuPxPb1d+Hy8z1WH+sVmFbPuZDzbgxIpUGkqNhh70M/DFitTI3YEJ7H6RBwP9HNr8Bld2cXlLaIFVHZRGWcScnmqjewhas0eGejBd39GsedsMgtGdW3ucK6ZTFySdA1yi8uZtzaQoIRc3nnQm1kjqnaDSC9QMXdNIKEp+dVuPA6Iy2HJ0RgOR6RjZKBwT29XJvt1ZGgXxyrJb6SXMwM/OMiB0LQGJ66o9CK6Olte3wttBH+EpaMTcHdv1+YO5abX2cmSgR3t2BksE5ck3VSSckuYsdKfxNxSfpw8kPv+0wMuPLWAWasCKFCpWTbNl7u8XQD9tOHRyEx++DOKwPhc7C2Mefr2bkwd2ol2NRweaWlqhK25McUNrATLKyknMqOQB/o1f3+6ncFJdHW2pHc1FZbSjfeQT3ve/SWM6Mwiujq3zmbHMnFJUgOEpxYwY6U/pWot62b7MaSLY5Xr/7mUxcL1QViaGrJ94b/l8EHxOXz6WwQBcbm0tzXj3Qe9mTi4AxYmtf8J6nSCQpUGc+OG/akeuZiJEDC8W/Ubn2+UqIxCAuJyeWVMD7l/q4W4u7cr7/4Sxh8X0ll0m0xcktSmnYjOYsHaICxNjdi+cDg9XK2rXL/3XAovbj1LV2crVs0ajJutOekFKt7/JYx9Iak4W5vywcN9eMy3Q727tyfmllCq1tLdpWFvMHvPpdDe1owBHewadD/QjwwzC8twtDLF0OD6ks3G04kYGyo85tvhuh5Hajzt7czp52HLH2FpLLqtdU4XysQlSfXw6/kUXthyjk6OFqyZ7XdV5/W1J+P4354L+HV2YNl0X2zMjNgakMgHv4ZRrtXx3F3dmT+yS50jrP+6XEY+qFP9G9NmFKg4GpnJvFu7VFkvq4t/bA7rTsVzJCKDwjINfd1t+XHyQDo6XtvG6NJyLduDErmntyuOVqbX9BhS07jb24Uv/4gkvUCFSw3T1C2Z3IAsSXVYfTyWpzedwaeDLdsWDquStIQQfH/4Ev/bc4HR3i6sne2HTieYvy6IV3acp7e7Db8/N5Ln7vJqcNICOHYpk3bWpg06eHFbUBJanWCib/326lzuqzhxyUmOXszgAZ/2vHxPD2Iyi/js94gGx3zZ9uAkClQaZgz3vObHkJrGaG99ocyRixnNHMm1kSMuSaqBEILPf7/I4iPR3O3twneTBmBmXHWP1qcHIlhyNIZxA9z5fHw/zifn89SGYDKLynjzvl7MuaVzg0Y9V1KptRy9mMlD/d3rvT6k1Qk2nk5gWBdHutSx8J5fquabg5GsOxWPpYkhb97Xi6lDO2Fuon+Nx6OySMtXXVPsWp1g+d8x9O9gh28DRovSjeHlYoWztSknorNbTC/LhpCJS5KqodbqeG1HCDuCk5gypCPvj+1TZb1HCMF7v4Sx+kQcU4Z05IOxfdgamMjbe0JxtTVjx6Lh1fblyyku51J6IeVaHcO7OtW6hvT7hTSKy7Xc34CTa/+JyiI5r5TX7+tZ422EEOw9l8IHv4aTU1zG5CEdeXF0j6s2B+eWqHG2vrYpvkPh6cRnl/DKPT1lUUYLpCgKw7s6ciI6GyFEq/t/JBOXJP1HcZmGJzcGc+RiJs/f5cUzd3ar8octhOCdvfpuGXNu6cwb9/bks9/1I69buzvxw6SB2FpU3fibklfK4iPRbAlMpFyjA+CrCT48Oqjm6byNpxPo4GDO8K6ONd7mv7YGJmJvYczoihL8/4rPLuat3aH8fSkLHw9bVs8aTB/3q8/HKinXcCm9kDt6Otf7uS8TQrDsWAzudubc07v6OKTmN7yrI3vOphCdWUS3dtZ136EFuSGJS1GUlcADQIYQok/FZQ7AFsATiAMmCiFyFf07xLfAfUAJMFMIEXwj4pSktHwVc9cGEJ5ayCfj+jLJr+o0ypVJa8HILrx4txcvbjvH7rMpTBvaiXcf6l1lFFVUpuHrPyJZfyoegWD8IA/G9HFjxkp/LmUU1RhHZHohp2NzeO3envWeaiwq03AoLJ2Jvh2uOvlYpday7FgMP/wVhbGhAe8+6M20YZ41jvhOx+Sg0QmGdql/0rzsZEw2gfG5vD+2d439GKXmN7yrfqvEiehsmbhqsBr4AVh7xWWvAYeFEJ8qivJaxe+vAvcC3Su+hgCLK75LUpMKTc5nzpoAilQalk0fxB09q44WLk8PXk5az9/VnUXrgzkckcFLd3vx5O1VR2Yno7N5efs5kvNKmTioA0/f2Q0Pewvis4tRFLAyNfxvCJVWHY/F1MiACbWMyP7reFQWZRpdlQ3RQggOhKbx8W/hJOaUcl9fV/73QO86+9QdjczE1MiAwdfQFHfpsRicrEyZKEvgWzQPe3OcrEw5l5gPw5o7moa5IYlLCHFMURTP/1w8Frit4uc1wBH0iWsssFYIIYBTiqLYKYriJoRIvRGxSjenA6FpPLflDA4WJmxfNJxeblW7PAgh+PS3CFafiGPOLZ159s7uzF0bxPHoLD54uA/ThnaqvK1Gq+Org5EsPhKNp6MF2xYMq9Ku6eejMRgqChNqeGPPKFCxIziZCYM8GlRGHhCbA0AHB3N0OsGfERksPhpNUHwuXi5WbJg7hBH12JAshOBwRDojujlVKUapj4tphRy5mMmLo70afF/pxlIUhb7uNoQm5zd3KA3WnGtcLlckozTg8sdbdyDxitslVVwmE5fU6IQQLD0Ww6cHIvDxsGPZdN9qCxK+OxzFkmMxTB3akRdHezFnTSCnYrP5YrwP468YFWUUqnhqwxn843KY5NeBtx/wrlIGfzYxj80BCcwc7lnj/pllf8eg0eqYd2uXBr2Wu7xd2HA6gXE/ncBAUUgrUOFuZ85Hj+g3Pdd32i4irZDEnFIWjWp4U9zvDl/CytSIacM61X1jqdn19bDjaOQlSso117Rdo7m0iEiFEEJRFNHQ+ymKMh+YD9CxY+sr6ZSal0ar4529F9hwOoH7+7nx1QSfakcJq47H8s2hSB4d6MGb9/Zi/vogTsVm8/VEnyrnGkWkFTB7VQC5JWq+ecznqjOPClVqnt9yFhdrM14Y7VVtTNlFZaw/lcBDPu3xdGpYg9yhXRzZvmgYb+4KxcnKlLcf8Oae3i4NXmc6HJ4OwF3e7Rp0v+jMIvaFpPLU7d2ws5DHlzS1xnj/6+tui07oW5kN6tR6zkprzsSVfnkKUFEUN+DyTrhk4Mo5FI+Ky64ihFgKLAXw9fVtcOKTbl5XVg4uHNWVV+7pUW0RxM7gJN77JYx7ervw0cO9eWrTWf6+lMUX4/tVSUynY7KZsyYQCxNDti0cdlWlnk4neGX7eRJyStg4dwjWNRw3sup4HCqNlqfuuLYjQHq3t2X3kyOu6b6X/ROVRe/2NrSzblhHheV/x2JiZMDMEZ7X9fxS/TTG+9/lXpoX04paVeJqzpKfvcCMip9nAHuuuHy6ojcUyJfrW1Jjyiws4/GlpzgWmcnHj/StsXLvr4gMXtl+nuFdHfn28f68ufsCh8LTeX9s7yrrUyeis5i5KgAXG1N2Pzmi2vLy/zsUyW+habw6psdVjXkvKynXsP50PHd7uzRblZdaq+NsYh5DOjesmjAhu4RtgYlM9PXASbZ3ajXcbMwwNTIgLru4uUNpkBtVDr8JfSGGk6IoScA7wKfAVkVR5gDxwMSKm+9HXwofhb4cftaNiFG6OSRklzBt5WkyCspYNt2XO3tVv8/obGIeT2wIpqebNUumDeLbw1HsCE7i+bu8mD7Ms8rt5qwOpIODORvmDq12fWzD6Xi++zOKib4eta5bHQxLJ69Ezez/nO11I0VnFqFS6/DpcHXyrc0Pf13C0EDh6Tu6N1FkUlMwMFDo5GhBbJZMXFcRQkyq4ao7q7mtAJ5s2oikm1FEWgHTVvij1urYMG8IAztW34ooPruYOasDcLI2YdVMP/acTWHxkWimDOnIM3f+O4WXkF3C7IrbrZ87pNqktetMEm/tDuWOnu346JG+tXYoiK7Y1+VzDR3dG0tMpv4NrCHnNKXklbLrTDKT/Tq2yoatNztPR8tWl7jk7kDppnAmIZfHlpzCUFHYvnBYjUkrr6ScWasD0ArBmll+XEwr5J29F7ijZzvee6h3ZeJRqbU8sTEIjVbHmll+1a4HbQ1M5IWt5xja2ZGfpgzEuI4iCa+KY1K2ByVd56u9dvHZJQB0akBH+K8PRqKgML8Vn6h7M/N0siQ+pwT9mKF1kIlLavP8Y3OYuvw0tubGbFs4rMb1o3KNjoXrg0jKKWXpNF+MDQ14cmMw3Zyt+Pbx/lWq87764yKhyQV8NbH/Vc1s9SX20byy/Ty3dHNi5czB9drT9EC/9ni5WPFbaPMt6SbmlmBnYVxj8ch/XUwrZEdwEjNHeOL+n6NepNahnbUp5RodBaUNO2W7ObWIcnhJaiono7OZvToANzszNs0bWuNUlhCC/+0J5VRMDv/3WH/6edgy4eeT6IRg6fRBVd7IQ5LyWfFPLJOHdLyqJ6Baq+P9X8JYdyqe+/u58fVEn6vaL9Wmq7NVra2gmtql9MIGHaHyf4cisTQx4olWeiChROUUd2aR6qoemy2VHHFJbVZgXA5z1gTgYW/OlvnDal1/WX0ijs0BiTx1ezceHuDOp79FEJKcz1cTfOjk+O9+KiEEH+0Pw8HShNfurdqBPbOwjGkrTrPulL4l1PePD2hQ0gIwUBS0uuaZstFodVxIKbiqa0hNTsdk81toGnNv7Sz3bbVilYmrsLyZI6k/OeKS2qTQ5HxmrQrA1caMDfOqL5y47GR0Nh/uC2e0twsvjPbiUFh6ZWunu3u7VrltcEIep2JyeOdBb2yuGIX9dTGD13acJ69EXWfX99qk5pfi2kwFDiHJ+ZSUa+vVn1CnE3ywL4z2tmYsGClHW62Zs9XlEVdZM0dSfzJxSW1ObFYxM1b6Y2NuzPq5Q2rdSJuWr+LpTcF4OlrwzWP9yS4u55Ud5/F2s+GVMT2uuv3RixkYKFQmprR8FZ/8Fs6esyl0a2fFypmD6d2+YaXklwkhiMoo4kGf9td0/+v1V4T+tdWnn+GO4CRCkwv4v8f6Vx48KbVOtub6D2AFpepmjqT+ZOKS2pSsojJmrPQHYN0cP9rXUjCg1up4amMwpeVaNs8fipWpES9vO0dRmYZvH+9f7TRfcp4KnYA9Z1M4n5jH3nMpCAHP3NGNJ+/oVuPUYFGZBo1WV+uUWlqBigKVBi+XG7/5WAjBvpBUfD0dcLCsfdovv0TNZwciGNDRjrH9myfJSo3HwlSfBkrKZXGGJN1wKrWWuWsCyShUsWne0DqPrv/yj4sExufy7eP96dbOmj8upPFbaBqvjOlB9xqSx5xbOnMmMZe3d4diaWLIuIEePHFbVzo4VF8+/tfFDN7de4H47BJMjAw49vLtNR4pcj5J36W7n0fdI7aMQhWJOSX072Bf6ynK9RUYn0t0ZnG9pv2+ORRJTnE5a2b7tbqTc6WrmVdUvJaUa5s5kvqrd+JSFMVUCFFW12WS1ByEELyxM4SziXn8PHUgA2rYp3XZschMlhyNYfKQjozt706ZRsuH+8LxcrGqtbuFd3sb/nhuJOmFZdhbGNfYUTsspYCvD0ZyKDwdD3v9qM/E0ACLWs7gSskrBfQbQmu6fntQEvtDUolIKwTgrl7t+G7SgOvu7L3yn1hszY15wMet1tudS8xj7ck4pgzpdM1TolLLYmigYGZs0DYTF3ASGFiPyyTphlt7Mp6dZ5J5YbQXY/rU/uabVVTGC1vP4uVixdv3ewOw/lQCCTklrJntV+dGYSNDgxr3LJWU6088Xnk8FitTI16624sLKQUk5Zby89RBVQo6rr6vtuLx/x3FCCE4HZvDxtMJ7A9JRSsEgzs58Pq9PckpKWfJ0Rh2n0lh8pBrPx0hKqOIAxfSeOK2rrUmQK1O8PrOEJytTXm5mvU/qfUyMTSgXKNr7jDqrc7EpSiKK/rzsMwVRRkAXP6rsgHqv71ekprI2cQ8PtwXxp092/F0HV3VhdC/+RaoNKyfOwRzE0MKVWq+//MSt3Z3YpSX8zXFIITg9wtpfPBrOMl5pUwZ0pFX7unJL+dT+C00jZfu9uKW7rUXPVxuzvvpbxHc2t2Jc0n57DufSkJOCdZmRswY7snM4Z6V05Lv/XIBQwOF23pcW8yXfXf4EmZGhnX2SFx/Kp6w1AJ+nDyw1gQstT5qrcDYsPVM+9ZnxHUPMBP98SJfX3F5IfBGE8QkSfVWXKbhuc1naGdtxtcT+9e55rLnbAoHw9J5875e9HTV71faHpREXomaF+++tlHExbRC3v/1Asejsunpas22hcMY7OnAschM3tl7gVFezjxxW93HlPh5OjCgox0bTiew4XQCBgoM7+rEs3d2576+blWq90KT81l7Mp5HB7rXWoCi1QnSC1RotIKO1bRxCk3OZ++5FBbd1rXW05aTckv4/IA+od7X17XG20mtU7lWh4lR69nWW2fiEkKsAdYoivKoEGLHDYhJkurtw31hxOeUsGne0Dp3/WcXlfHuLxcY2NGO2bfoRxdCCDb5J+DTwY7+DWxuW6BS892hS6w6EYeVqRHvPdSbKUM6YmRoQHRmEc9uPkP3dlb8OGVgtcem/Je5iSG7nhhBeoGKtHwVXi7W1Zaal2t0vLbzPHbmxrx5n3e1j5VTXM6Kf2LYeDqB3BJ9mfPWBcPw6/zvHi0hBB/uC8PewphFtXS+EELw9u5QBPDJuNobBUutj1Yn0OoEJoatZ1tDfaYKpwoh1gOeiqK88N/rhRBfV3M3SWpyf0aks8k/kQWjujC0hjOurvTBr2EUl2n47NF+lZV4ockFRKYX8fEjfev9vBqtjvWn4vn28CVyS9RM8uvAK/f0xL6ijDy7oiTfQFH4eeogrEwbVjjhYmNWa5ePLyv6JP48ddBVyVoIwd5zKbz3Sxh5JeWM9nZhWBdHPtofzobT8VUS1y/nUzkVk8OHD/epdepv77kU/rqYydsPeONhL1cH2prLa1ttasQFXC5xqn8DM0lqYgUqNW/sDMXLxYoXRnvVefvjUVnsPpvCM3d0q1Lqvj80FSMDhfv71l7QAfqk8PelLD7aF87F9EKGd3Xk9Xt70feK8vXiMg2zVweQWVjG1gXD8HSqvkLwWv0Zkc7SYzFMGdKRMX2qTtnp/5uE8Ov5VHw62LFp3lB6VHScPxieTnRmUZXbfvhrGH3cbZjkV3NhR15JOe//Ekb/DnbMHO7ZqK9FahnaZOISQixRFMUQKBBCfHMDYpKkOn36WwQZhSp+njaizn6Aaq2O/+0JpZOjBU/cXnWt6VhkJoM62dc5zRianM9nByL4+1IWHRzMWTJtEHd7u1SZNlNrdTyxIZjQFP1oqLHP1UrILuGFrefwdrPh7QeqThFGZRQxf10g8dklvHxPDxaO6lo5qrzcg/Ae738T3ecHIsgqKmP5DN9a94F9diCCvFI168f1bZT9YlLLU6bVV7O2qcQFIITQKooyCZCJS2p2ocn5bPJPYNbwzvVal9rsn0B0ZjHLpvtWOV5EpxNcyihiVi0jidisYr45GMnecynYWxjz9gPeTB3a8apkqdMJXt52jqORmXwyru9VXeOvl0qtZdGGIHQ6weKpA6u8juNRWSxYF4SpkQEb5g65atr0UHgGeSVq7qqI6WR0NutPJTDnls7087Cr8TlPRGWxyT+R+SO71LvxrtT6qLX6ps6mdWwDaUkaMvl+XFGUH4AtQOVxmUKI4EaPSpJqoNPpjx9xsDDh2bvqPia+UKXm/w5dYkhnB+7q1a7KdQUqNeUaHe2qWU+KyijipyNR7DmbgomhAU/e3pUFo7pWuxYkhOCdvRfYfTaFl+/pUevU27W4XMJ/IaWAFTN8q3Sr3xGUxKs7ztPV2YpVswZfVWGo0wkWH4nC3c6c23s4U6BS89K2c3g6WvBSLVWUKrWWN3aF4OloUa+pWKn1ujxVaGzUekbUDUlc/Su+v3/FZQK4o9GikaQ67DmXTHBCHp+P71fZHLQ2y47FkF1czqr7e11VDXd5s210ZhE6naBcq+NoZCbbAhM5FJ6BmbEBM4d7smBUlxob9Qoh+PRAhP4ok1FdmuRcqjUn4thVsbn6zl7/juRW/hPL+7+GMaKbI4tr2Nz8a0gq55Ly+XKCD0aGBry3I4TU/FK2Lxpea3PcZcdiiMsuYe1sv3odgim1XpVrXG2pqvAyIcTtTRmIJNWlTKPl64OR9HG3YfzAuo8NySspZ+XxOO7v61btlJiJkQF+ng5sPJ3AHxfSySspR6MTOFqa8Myd3ZkxrFOte5sAfvgziiVH9cUSr43p2eil4ieis/hgXzh39WrHUxXrc0IIvj18if87dIl7ervw3aTqz/0qKtPw8b5were34ZEB7uw9l8KO4CSeuaMbA2tpiZWaX8qPR6K4t48rI69xQ7bUerTJ4ozLFEVxBN4BbkE/0voHeF8Ikd1EsUlSFRtPJ5CYU8pHs/vWa1/Uyn9iKSrT8PSdNW/+XTvHjwOhaRyOyKCjgzmDPR0Y0c2pzrZPAEuPRfPVwUjGDXTng7F9Gj1ppeSV8vTGM5VHrhgYKJUjvCVHYxg/yKNKaf9/ffn7RdILVSyeOpCk3BLe3BnCwI52PHNn7VOsn/4WgU7AG/f1atTXI7VM5W21OKPCZuAY8GjF71PQr3fd1dhBSdJ/lZZr+fGvaIZ1cazXKCC/RM2q43Hc19e1skNGdcyMDXl4gDsPD3BvUDxrT8bx8f4I7u/nxueP9qtXIm2IMo2WheuDKNPoWDLNF2szY4QQfPBrOCuPxzJ1aEfef6hPjc8bnJDLmpNxTBvaiV5uNkz4+SSKAt9NGoBRLUn5dEw2e86m8Myd3WvseC+1LWWVU4VtM3G5CSE+uOL3DxVFeayxA5Kk6mwJSCCrqIyfptSvp/P60/EUlml46va6CzgaapN/Av/bc4G7ernwf4/1rzURXKvPfrvI+aR8lkwbRLd2VvqilL2hrD+VwKwRnvzvAe8aR3gFKjXPbj5De1tzXr6nB+//GkZIcj5Lpw2qcwPxulPxOFiaNMlandQytempQuAPRVEeB7ZW/D4e+L3xQ5Kkqso0WhYfjcbP04HBnrUfVwL6irjVJ+IY6eWMd/vGLePeHpTEG7tCGOXlzI9TBlROKeYUl7P3bDLJeaV4OlkyZUina36OPyPSWXk8lpnDPbmntys6neDN3SGVXUJqW0sTQvDajvOk5KnYumAYB0LT2Hg6gYWjunJ377p7DB6LzOSuXi6YGRtSrtGhE0IWZ7RxlxOXaVtKXIqiFKJf01KA54B1FVcZAkXAS00VnCQB7ApOJr2gjC8n+NRrHWlrYCKZhWV8P6lxRw17zibzyvZzjOjqxJJpgzA1MkSl1vLt4UusOh6LSq3DyEBBoxP0cLHG19Oh7gf9j6yiMl7Zfp6erta8dm9PtDrBK9vPsyM4iSdv78pLd/eo9b/ByuNx7A9J47V7e2JooPDmrlBu6ebES3fXr6S9h6s1B8PS8f3wEFlFZZgaGfDVRB8e6CdPOm6ryrWtb8RVZ6RCCGshhE3FdwMhhHHFl4EQovLjrKIovZs2VOlmJIRgxT+x9HG34ZZutR8LAvouEUuPxTCokz1DOjc8cdTkl3MpPL/lLIM9HSo3Mp9JyOW+b/9m8ZFo7u3jxsHnR3L+3bsxMlA4GJ7e4Oe4PFoqUGn4v8f7Y2ig8NyWs+wITuKF0V68fE/tVYv+sTl8sj+c0d4ujPVpz/y1gbSzMeX7Ota1rrRwVFd6udlwew9nnr/LC1dbM5b9Hdvg1yK1HuqKxFWfgqSW4vqOTa1qHfJQSamRHYnM5FJGEV/Vc7S1LySVpNxS3q5lDaih9oek8tyWs/h2cmDVrMGYGBnww5/6cnQXGzPWzxlSedaWTifQCYGxQcPfBHadSeZQeAZv3d8LT0dLFq0P5lB4Oq/d25OFo2ofPSbnlfLEhiA6Oljw4cO9mbsmiOIyDevmjKhs/lsfd/ZyqbJX7LfQVOzraIcltW5tfY2rLq1n27XUaiw5Go2brRkP9a97qkqrE3x3+BLd21lxV6/Gabl0IDSVpzedYUAHO1bOGoxKrWPBuiD+vpTFA/3c+OiRvlU2QkdnFqETNLi5blGZhk9/i6B/Bzsm+HZg5ip/TsXk8MHY3kwb5lnrfUvKNcxfG0iZWseSuYN4Z08YoSn5LJvmW9lk91pEZRQRkVbI2P4Nq7iUWpfyNl5VWBfRiI8lSYSnFnAqJoc37utZr2mM/SGpRGcW88PkAY3SEPZAaCpPbTyDj4ctq2f7kZRbwtw1gWQUlvHJuL48PrjDVaO6kzH6bY2DOtVdRHKlDafiySgs4/X7ejJ+8Qlis4r59vH+dSYNrU7w3OazhKcWsHyGL1uDEjlwIY237u9V2ZvwWn198CImRgaMH1T3Zm+p9Sq7yUdcktSo1p6Mx8TIgIm+Heq8rU4n+PGvKLo6W3Jfn7qPKKnLbyH6kVY/D1vWzPYjIDaHpzYGY2lqxNYFw2ps7vvHhXS6OlvSuYEjri0BiQC8uSsUEyMDVs/yq5x+rM0n+8P5Iyyddx70JiG7hGV/xzJjWCfmVByUea1+C0llf0gaL9/TA2fr2ruHSK1bZXFGKxpxNWak5Q29g6IoPRRFOXvFV4GiKM8pivKuoijJV1x+XyPGKbUCGYUqdgQn8ehAd+ws6l6j2XUmmYi0Qp65s/t1bwbeH5LKU1ckre1BScxeE4CnkyV7n7qlxqSVX6LmVEz2NY103O31zXHv9nbhl6duqVfSWnosmuX/6Mvm21mb8t6vYYz2duF/D/a+rvW9zMIy3todSh93G+aP7HLNjyO1DqJirqw1HWxdn3L4WgsuLneHF0IMbeiTCyEuUtG8t+LMr2RgFzAL+EYI8WVDH1NqG9aeiEej1bFgZN0l7Sq1lq/+uEg/D1sevM6y7V/OpfDclrMM6GDH8hm+fPH7RdaejOee3i5881j/ysa81fktNBWNTnDvNYz4lk7zpaRcU2dvxMu2BSZWdu64q1c7Zq8JZGBHe76fdH3TpJcrGwvLNGya2L9VVZpJ16Y1JazL6jNV+FUt1zVmd/g7gWghRHxj93yTWpcyjZZN/gnc0dOlXkUO607Gk5Kv4ssJPtc12tp9JpkXtuqrB3+YMoCXtp3nUHg6827tzGv39qo1IQghWH86np6u1vhccSJyfZmbGNbarf1KB0JTeXXHeW7t7sTcWzozbYU/nRwsWDHD97o3C689Gc/hiAzeedAbL5drL+yQWg+loq5OtKIqhfqcgHyjusI/Dmy64venFEWZDgQCLwohcv97B0VR5gPzATp2bNwzkKTmsyUgkezicmaN8KzztukFKr49fIlRXs4Mr8c+r5psDUjk1Z3nGdrZkc/G92XumkBCk/PrVdUHcCGlgNDkAj4Ye33TdHX5MyKdpzedoX8HO14Z04MZKwOwNTdm7Ry/ek2p1iYoPocP94VxR892zKzlcE2pZWis97/L/1xFK6qva9A8gKIofRRFmagoyvTLX40RhKIoJsBDwLaKixYDXdFPI6ZSw6hPCLFUCOErhPB1dpbHL7QF5RodP/2lb+80vKtjnbf/eH845Rod74+99v3v607F88qO89za3Zm3H+jFlOWnuZRexLLpvvVKWqAfrRkZKDzo03QdJo5FZrJwfTA9XW348GF9cjVQFNbPHYKbrXndD1CLlLxSFq4Ppr2dOd9M7N+kyVdqHI31/nf5/3SbGnFdpijKO8BtgDewH7gX/dEmaxshjnuBYCFEOsDl7xXPuwz4tRGeQ2oF9pxNJq1AxaeP9q3zzfNoZKa+k/kd3aqcCtwQy47F8NF+/XlXs0d0ZvLy0xgZKGyaP7TGIoz/0mh17DmXwu092133qKcmxyIzmbs2kK7OVnw2vh/z1gRSptGxef7QBlcw/leBSs2sVQGoyrWsnzMEW7nh+Kby74ir9WjIiGs8+nWoNCHELMAHaPhkfvUmccU0oaIoV65uPwKENtLzSC1YuUbHj39F0dPVmlF1HF1SVKbh9R3n6eJsyRO313zeVk2EEHx9MJKP9odzfz83xg30YNbqAOwtTNi5aES9kxbA6dgcMgvLGNfAo1Hq66+IjMqk9c1EHxatD6KgVM262UNqPbKlPlRqLQvWBhGdWcTiqYOua8Oy1Dr9u8bVelJXQ/ZxlQohdIqiaBRFsQEygLo32NRBURRLYDSw4IqLP1cUpT/6DwFx/7lOaqM2no4nLruEVbMG1zna+vxABKkFKrYvHN7gggSdTvDBvjBWHY9joq8Hfd3teGpjMP087Fg5czAODWiRBHAwLB0zYwNu69GuQferjwOhaTy9ST89+OV4HxasDyS7qJx1c/zoew1FIFfS6gTPbznLyZhsvnnMp14l+FLb0xpHXA1JXIGKotgBy4Ag9J3hT15vAEKIYsDxP5dNu97HlVoXlVrLT0eiGdLZgdvqGG0dDEtn7cl4Zo/o3OAOFRqtjld3hLAjOIlZwz2xMjPi7T2h3N7DmR+nDKy13L0mURlF9HS1qXdVYH3tDE7i5e3n6edhy2eP9mX+2kAyC8tYO8ePAR0b9rr/S6cTvLz9HL+F6rtsPDJAdse4WV3+kNiKBlz1T1xCiCcqfvxZUZQDgI0Q4nzThCXdbJYdiyGjsIzvJg2odbSVklfKK9vP0cvNhlfv7dGg51CptTy18QyHwtN59o7upBeqWHUijgmDPPh4XN9r3rOUWVhGJ8fGPS14+d8xfLgvnBHdHHnnQW/mrQ0iu6ictXOGNDhZ/5dOJ3hjVwg7g5N5YbQXc2+Vm4xvZv8WZ7SezFWfDcg9hRAR1W1EVhRl4OUNyJJ0rRJzSvjhryju7+vG0C41VxKqtTqe3BiMWiv4YfIATI3qP8LJL1Uzf20g/nE5vHV/L07FZHMoPIOnbu/Gi3d7XVcVnaI03jSLTif49EAES4/FcF9fV567qzuzVgVSqFKzfu6QBq29VefK872evqMbz9zZ+CdES61L5VRh68lb9RpxvYB+r0B1JemNuQFZukl9+lsEigJvPdCr1tt9+ftFziTk8cPkAXR1tqr346cXqJix0p/ozCI+fLgP2wKTOJeUV+89WnUxUJRG+bSqUmt5ads5fj2fyrShnZgypCNTl/uj1urYOG8ofdyvb01Lpdby3OazHLiQxvN3efHsXTJpSVeMuJo1ioapzwbk+YqiGABvCSGO34CYpJvIschM9oWk8sJor1r3Ih0ITWPJsRimDOnYoNN4ozKKmLHSn9yScj4d15cf/4omOa+UxVMGMaZP3UfZ3yjZRWXMXxdEUHwur93bk+FdHJm8/DSGBgpbFgy77i4WeSXlLFgXxOnYHP73gDezr7MJr9R2/LvG1XpSV73WuCqqCX8ABjRxPNJNRKXW8r89oXR2smTBqJrXWWKzinl52zl8Otjx9gPe9X78oPgc5qwJxMhA4cOH+/Dx/nDUWsH6uUMY7Nl4pyOXlGuuqajjskvphcxeE0BGQRk/Th6Io5UJk5efxs7CmPVzhjT4bK/qHn/BuiCSckvrdVSKdHNp61WFhxVFeRTYKVpTapZarG8PXyIuu4T1c4bUuF6VX6pmzuoAjAwVfpw8oN6l7wdCU3l281na25mzcFRX3todir2FCZvnD6Zbu8bdq5RTXI7dNW7aPXIxg6c3nsHU2JDN84eSWVjG9JX+dHSwYP2cIbjaml1zXGqtjpX/xPLVwUisTY3YMK9xE7bUNrTpzhno91K9AGgVRSlF/3qFEOL6dkBKN6VziXksORrNY74datw/pNUJXthyloScEjbOG4qHff0q91b+E8sH+8IY0MGO+/q68cauEHq5WbNyxmDa2Vx7IqhOabmWApUGlwY+rhCClcfj+GhfGD1cbVg+w5fjl7J4fVcIfd1tWTVzMPb12E9WptHiH5tDcHweXdtZ4uNhh5mxIX9fymTxkWguZRQx2tuFT8b1xameneelm8zlqcJWNOZqSDm83FIvNYpyjY5Xd5zH2dqUN2spyPj0t3AOR2Twwdje+HWue6Sg1Qk++DWM1SfiuNu7HZ2drPhwXzi39XDmx8kDsTRt/HNTU/JLAXBrwMioTKPl7d2hbA1M4p7eLnw1wYc1J+P54veLjPRyZvGUumPV6gTbgxL5v0OXSM1XVXubzk6WLJvuy1292sneg1KNKv9ltJ681aBehQowBegshPhAUZQOgJsQwr/JopPapB/+vEREWiHLpvtiY1b9FNvWgMTK03zrU/lXqFLzzKYz/HUxkxnDO5FdVM6SYzFM8uvAB2P7YNRE50ol5JQA1Hs0mJRbwhMbgjmflM8zd3bn6du78f6vYaw7Fc/D/dvz+XifOo9QT8gu4cVtZwmIy8XHw5b3HurNsK6OXMooIjKtkKIyDQM62jGwo71MWFKd2voa10+ADn35+wfoO2f8CAxugrikNup8Uh4/Holm3EB3RtdwUrB/bA5v7Arh1u5OvFWPYoy4rGLmrQ0kJquYN+7ryaGwDPzjcnh1TE8WjurSpG/e0RlFAHR1rruA4sjFDJ7fchaNVrBk2iBGeTnz5MZg/ghLZ8HILrw6pmed54n9ej6F13eEAPDVBB/GDXSvfH0DO9oz8Do7akg3nzZ5HtcVhgghBiqKcgZACJFbcRyJJNVLUZmGZzadoZ21Ke88WP0xJIk5JSxcH0RHRwt+mDywzm4WRyMzeXpjMIYGCp8/2o/v/7xESr6K7yYN4KEmPGLkspDkfNpZm9ba31CnE3z35yW+PXyJHi7W/DRlILbmxkxadoqziXm886A3s0bUXp6uUmt5/9cwNp5OYEBHO76fNKDeozxJqk1rPI+rIYlLrSiKIRUjSkVRnNGPwCSpXj7aF0Z8Tgmb5g3F1vzqKcKiMg1z1gSg1QlWzBhc7W0uE0Kw5FgMnx+IwMvFmqdu78Zbe0IxUBQ2zRvCoE76NTGVWsvfl7I4l5jH2P7t6d6Ip/rqdILTMTn4etY8JZdfqub5LWf5MyKDcQPd+ejhvqQVqBi3+ARp+SoWTxnImD5u1d73stisYp7YEEx4agELRnXhpbt7XHN7Kkn6L4M22jnjsu+AXUA7RVE+Qn/MydtNEpXU5vxxIY1N/oksGNWl2rZOuooKwqiMItbOHlLrGVOl5Vpe3XGevedSuL+fGyO7O/HC1nN42JuzcuZgPJ0s0ekEO88k8+XvF0kr0BcvRKQVsHxG481sn0nMJa1AVeOUZ1RGEfPXBZKQXcIHY3szdWgnAuNzmbc2EAXYOG9onX0H/7iQxgtbz2FkqLBypi939Kz+uSTpWl2eKtS1oszVkKrCDYqiBKE/k0sBHhZChDdZZFKbkVVUxus7Q+jjbsOLo6tvjPv1wUj+CEvnfw9413q8RnJeKfPXBhKWWsBLd3uh0Qpe3RHCkM4OLJk2CDsLE2Iyi3htRwj+cTn4eNjy0SN9eGnbOXSN/He57mQ8liaG3NXr6mRyeX+WiZEBG+YOYUgXR/acTeblbefxsDdn1azBtR5+KYTg+z+j+PpgJP08bFk8dRDudtd3yrEkVastj7gURVlXcdxIRDWXSVK1dBVNXQvLNGya2L/airlfzqXww19RPD64A7NGeNb4WMciM3luy1nUGh1Lpg7iQGgaO88k8+hADz4Z1xdjQ4UtAQm8uzcMEyMDPn+0HxN8PdhzNoXcEjWPD77u4+MqxWcX8+v5VKYP88T6ispIIQQr/onl4/3h9HC1Ydl0fcL57vAlvj4YiV9nB5ZMHVTrHq3iMg0vbdMfOfLIAHc+Gde3wWeOSVJ9tca604ZMFVZZTa9Y7xrUuOFIbc2yv2P4MyKD9x7qXW2/vdDkfF7ado7Bnva8N7Z3tWtFWp3g20ORfP9XFF7trPnk0b58+lsE/rE5vDjai6fu6EZBqYbnd4WwLySV4V0d+Xpif1xtzVCptXz5x0W83WyqHRldqy9+v4ixoQELr2hVpdbqeHt3KJsDEhnT25WvJvpgZKjw4tZz7DyTzCMD3Pn00b61drWPzy5m/togLmUU8tb9vZhzS2dZ0i41qTZ5HpeiKK8DbwDmiqIUXL4YKAeWNmFsUisXnJDLF79f5N4+rkwf1umq6zMKVMxbG4ijpQmLpw6q9g09s7CMpzcFcyomh/GDPJhzS2ee2BBM8hV99wLjcnh281nSC1S8fE8PFo3qWllW/tORaJJyS9k4t1+dpeb19c+lLH49n8ozd3av7MRRqFLzxIZg/r6UxVO3d+OF0V7klaqZtSoI/7gcXhjtxdN3dKs1CR2NzOSZTWcAWDPbj1u7136gpiQ1hn+7w7eezFWf7vCfAJ8oivKJEOL1GxCT1Abkl6p5euMZXG3N+HRcv6vesMs0WhauDyK/VM32hcOrbUcUFJ/DExuCyS9V8+UEHzzszZm07FRFYYP+QMWfj0bz+YEIPOwt2L5oeJXzqmIyi/j5SDRj+7dneLfGOZa+UKXm9V3n6exkyRO3dQX0yXXOmgAupBTw+fh+TPTtQHRmEbNXB5Baj9J8IQQ/H43hi9/1FZJLp/nSsZEPppSkmrTV87gu81cUxVYIkQ+gKIodcJsQYndTBCa1XkII3tgZQnqBiu2LhmP7nwa0+utDCU7I48fJA/Fuf3W7y42nE3hnbyjt7cxZPcuPCykFTFtxmo4OFqyYMRhna1Oe3BjM/pA07u/rxqeP9r1qrentPaGYGhvw5n21n/PVEB/8GkZybilbFwzDzNiQ1PxSJi87TWp+KUunDeLOXi6ciM5i4bogjA0N2FRH5WBJuYaXt59n3/lUHujnxufj+11Xp3lJaqi23jnjHSHErsu/CCHyFEV5B9jd6FFJrdrmgET2haTy6pie1Z7Yu/J4HDuCk3j2zu7c36/qHqZyjY73frnAhtMJjPRy5tvH+rPin1h++CuKEd0c+WnKIHKLy3nkp+NEZRTx+r09mT/y6u4YO4KTOR6VzQcP92m0xrr7Q1LZGpjEE7d1xdfTgdisYqYsO0WBSsOGufq9Y9sCE3l9ZwidnSxZOXMwHRxqHjml5pcyd42+QvK1e3uyoJrXIUlN7d/OGa0ndTUkcVW341F+NJSqiMoo5P1fwrilmxMLRl59xtbxqCw+3h/O3d4uPPufY+Ozi8pYtCEY/9gcFozqwrN3dOfVnSH8ci6Fxwd34IOH+3AiOptnNp3BQIG1s4dUWzqfUajig1/DGOxpzxS/jo3yupJyS3h1x3l8Otjx3F1eRGUUMXX5acq1OjbPH0rv9jZ89cdFvv8zilu6OfHT1IE19mEE/frf/LVBqNRaVs4YzO092zVKnJLUUG19xBWoKMrX6PsTAjwJBDV+SFJrVVymYeH6YCxMDPlqos9VxRBJuSU8tTGYrs6WfP1Y/yrXX0ovZOaqALKKyvi/x/pze492zFwVgH9cTkXBRReW/xPLJ79F0MPFmmXTfasdzQgheGtXKCq1lk8fbZyCjDKNlic3BIOA7x7vT0JOCY8vPQkobJyn3yz93Jaz7DmbwmO+HfjwkT61drbYGZzEaztDcLUxY+O8Idd9urEkNYZWNOBqUOJ6Gn2njC0Vvx9En7wkCSEEb+4KISaziHVzhlx1PlVpuZYF64IqGsz6YnXFsR0norNYsC4IM2NDti4YhoOlCeMWHycxp5TvJw1gtLcLL247z64zydzf140vJtS8DvRbaBp/hKXz2r096eps1Siv7b1fwjiXlM/PUwdSrtExadlpQGHLgqE4WZoyfYU/p2P1CfaJ27rWON2n1Qk+PxDBkmMxDOviyE9TBtbrzC1Jakr/lsO3nszVkM4ZxcBrTRiL1IqtP53A7rMpvDDaixH/qeATQvDGrhDCUgtYOWNwlXZOf1xI46mNZ+jkaMHKmYMpUKkZt/gEZWot6+b40cXZiseX6pvRXt6zVVNiyCsp5397QunrbsvcW2pvWltfm/wT2Hg6gUW3dcXLxZrHlp5CUWDTvKGYGRsy/ucTxGUX83+P9efhAe41Pk5BxbErRy5mMm1oJ/73oLfsNyi1CEYVsxLatpi4KprqvoJ+I3Llx2khxB1NEJfUioQm5/PBL2Hc1sOZp27vdtX1y/+OZdeZZF4Y7VVlLWdncBIvbTtHPw87Vs8aTFhqAfPXBmFtZsSGRcMRAh7+8Tg5xeX8PLXuZrSf7I8gt0TN2tlDGuX8rYC4HN7eHcpIL2cmDPLg8aWn0OkEm+cPRaPTMe6nU5SUa1kz24/hXWsut4/NKmbumgDis0v46JE+TBly9Z42SWoulz9AqTVtMHEBG9BPEz4ALARmAJlNEZTUehRUbLx1tDLhqwlXr2sdj8ri0wMRjOntytN3/JvUNvsn8PquEIZ3dWTZdF+ORWbyzKazdHK0YO0cP6IyinhifTDmJvrpw74etrXGcTI6my2B+ia+1ZXXN1RSbgmL1gfTwcGC18b0YNoKf9RaHVsWDCOnuJy5awOxNDFi28Jh9HSt+flOxWSzYF0QBgqsnzuk2gbDktScjA31f7Pl2tZz2EdDPpY6CiFWAGohxFEhxGz0h0pKNykhBK/vCCE5r5QfJg/A8T+biBNzSniyohjjy4k+lVN8m/0TeG1nCKO8nFkxYzC/nEvhiQ3B9HG3YdvCYfx9KYuZqwJwtzdn95Mj6kxaKrWWN3aF0NHBgufu9Lru11VarmX+2iDKNFo+HdeXRRuCKSrTsG7OEOKzS5i20p921qbseGJ4rUlrZ3AS01acxsnKhD1P3iKTltQimVwecbWixNWg87gqvqcqinI/kAI4NH5IUmux8nhc5X6ty+dfXVZcpmHe2kB0OsHSK4oxtgYm8trOEEZ6OfPz1IGsOh7HZwciGOnlzOIpA1hyLJbvDl/i1u5O/DRlYJVNxTVZfCSa2Kxi1s72w9zk+prR6nSCF7aeJTytgG8f68+bu0PJLCxj/dwhRKYX8vL28/Rpb8OqWX41Hh4phOC7w1F8cyiSYV0c+XnqoKs2YUtSS2Fs1LYT14eKotgCLwLfAzbA800SldTiBcTl8EnFfqwrG82C/o375e3niEwvZNUsPzwrijH2nkvhtR3nubW7E0umDuSbQ5dYcjSGB33a8+m4vrz/SxhbAhOZMMiDj8f1rVfxQkxmEYuPRPOQT3tGel1/b7//O3yJ30LTeOluL5b9HUtiTglrZvtxITmft/dcYEQ3x6uqIq9UrtHx+s4QdgQnMW6gO5+O61dtR3xJaiku/52Va9pg4hJC/FrxYz5we9OEI7UGafkqFq0PxsPevMoU4GU/H41hf0gar9/bk1EVyeRgWDrPbznLYE8Hfp4yiPd/DWeTfwJTh3bk9TG9eHrTGf6MyOCZO7rx/GiveneQ+HBfOCZGBrz1wPW3ddpzNpnvDl9i3EB3jlzMICKtgCXTBnEmIY/PDkRwVy8Xfpg8oMYjRgpUahatD+J4VDbP3dWdZ+/sLjthSC2eZcUsRXG5tpkjqb+GVBV2Ab4FhgE64CTwvBAi5noCUBQlDigEtIBGCOGrKIoD+kIQTyAOmCiEyL2e55EaR7lGx5Mbgykp17Bx3pCrukP8dTGDz3+P4IF+bsyv6Jzxz6UsntwQTJ/2NiyZNog3doew52wKT9zWlXm3dmbaytOcScxrcMXd4fB0/ozI4PV7e9LO+vraOgUn5PLy9vP4drIns7CMoIQ8vnt8AGcT8vjuzyge8mnPVxN9ahwFpuSVMnt1AFEZRXw5wYfxgzyuKx5JulFszfV/wwWl6jpu2XI0ZA5jI7AVcAXaA9uATY0Ux+1CiP5CCN+K318DDgshugOHkfvHWoz3frlAUHwun4/vd1XHh9isYp7ddIaerjZ8Pl7fEf5sYh7z1wXSxdmS5TN8eW2HPmm9MqYH04d58tjSU4QmF7B4ysAGJa0yjZb3fgmjWzsrZo24vj1biTklzF8biKuNGQ6WJvx9KYuPH+lLWGoB3/0ZxURfD755rH+NSSs8tYBHfjpOcm4pa2b7yaQltSo2FYkrv40mLgshxDohhKbiaz1X7OdqZGOBNRU/rwEebqLnkRpgW2AiG04nsGBkFx7oV/WYjkKVmrlrAjA0UFg6bRAWJkZEphcyY6U/TlamLJs+iFd3hHDgQhrvPOjNfX3ceHTxCVLyVKyeNbjOPVr/te5kPAk5JfzvAe/rWkPKL1Uza3UA5Rodfdxt+SMsnVfH9CA6Q792NnlIRz4d1w/DGlpH/XMpiwk/n0RBYduiYVdtvpakls7UyAATQwMKVG0ocSmK4lAxdfeboiivKYriqShKJ0VRXgH2N0IMAvhDUZQgRVHmV1zmIoRIrfg5Daj26FpFUeYrihKoKEpgZqbcUtaUzifl8ebuUIZ3deTle3pUuU6rEzy7+Sxx2SX8NGUQHRwsSMwpYfoKf0yMDFg5w5c3d1/gz4gMPnqkD0O7ODL+55OUqrVsmje0wWdl5RaX8/2fUdza3em6CjLKNToWrgsiPruY23u0Y39IKotGdSGzsJzl/8Qyc7gnHz3cp8Z+h7vPJDNzlT/udubserL20nhJamyN9f6nKAo25sYUlGoaMbqmVZ81riD0yeXyX++CK64TwPUeLnmLECJZUZR2wEFFUSKuvFIIIRRFqXZLtxBiKRWnMPv6+raebd+tTHZRGYvWB+NsZcoPkwde1ZXi898j+DMigw/G9mZYV0eyi8qYvtKfUrWWtXMG896vYfwTlcVnj/alu4s1jy05iYWJEevnDqVbu4b3E/zhrygKVWreut/7ml+TEILXdp7nZEw2D/m0Z8+5FCb5dUCl1rHqRByzRnjyvwe8qy2uEEKw9FgMn/wWwdAuDiyZ5lu5TiBJN0pjvv/ZmBuRX1reKHHdCPU5Ablxmr7V/PjJFd8zFEXZBfgB6YqiuAkhUhVFcQMymjIGqWZqrY5FG4LJKipj+8LhV+1d2haYyJKjMUwd2pFpwzwpVKmZvtKf1PxSVs705YsDkRyPzuKL8T60tzVj6vLTOFubsn7OkFrPqqpJUm4J607GM36QBz1cr72r+jcHI9kZnMzd3i7sPZfCfX1dMTM2ZNXxOGYOrzlp6XSCj/eHs/yfWO7v58bXE30wNbq+vWOS1NzaWZuSUVDW3GHUW52JS1GUO4QQfyqKMq6664UQO6/1yRVFsQQMhBCFFT/fDbwP7EXfUurTiu97rvU5pGsnhODdvRfwj83h28f7X9XBwj82hzd2hTCimyPvPNgblVrfAf5iWiE/ThnI4iMxlUnL0dKEWasD6ORowfo5Q675cMevD0aCAs/dde0dMrYEJPDdn/qDKQ+GpXNrdyfa25pXTg++82D1SUuj1fHqDv0erRnDOvHOg70b5dgUSWpu7W3NOR2b09xh1Ft9pgpHAX8CD1ZznQCuOXGhX7vaVfEmYQRsFEIcUBQlANiqKMocIB6YeB3PIV2jNSfi9MUYo7owtn/Vzufx2cUsWBdIB3sLfpo8CANF4anNwZyIzubz8X1Zfyqef6L0ScvSxJD56wLp6WrDmtk1d5yoS1RGEbvOJDPv1i60tzO/psc4cjGDN3aF0s/DFv+YHHw62NHT1Zplf8cybWinGpOWSq3lqY1nOBSezvN3efHMnTV3qZek1sbV1oz0AhVanaixEKklqc9U4TsVP74vhIi98jpFUa5rGrFiD5hPNZdnA3dez2NL1+dYZCYf7AtntLcLr97Ts8p1+aVqZq8OQAArZg7GxtyI13aE8PuFdN64tye/nk/jn6gsPn+0H8aGCk9tOkP/DnasmjW41lOB6/Lt4UuYGxtWe7JyfYQk5fPEhmA6OlgQnVGEp5MlQ7s48PPRGCb5deC9h3pXm4yKyjTMXRPAqZgc3nuoNzOGe17za5CklsjNzhyNTpBdVHbNsyE3UkPqiHdUc9n2xgpEajmiMgp5ckMw3dtZ8c1/TipWa3U8sSGIhJwSfp46iM5Olnzx+0W2BCbyxG1dOR2bw7HITD4d1xcBPLflLH6eDqyd7XddSetCSj6/nEth9ojOVzXzrY+E7BJmrQ7AxsyY3OJy7C1NGO3tws9HYxg/yIOPHu5b7bRfbnE5U5adIiAul/97rL9MWlKb5FaRrFLyVc0cSf3UZ42rJ/ozuGz/s85lQ9Pt45KaSXZRGbNXB2JqbMiKmYOr9OQTQvD27lCOR2Xzxfh+DO3iyLJjMfx0JJrHB3fgUkYRhytK3tVawVu7Q7i1uxNLp/led/PbH/6MwsbMiHnXMNrKLipjxip/yjVaFCMDjAwVHu7fnh/+0vc4/OzRftUmrYwCFdNW+BObXcySqYO4y7vaXRmS1OpdnnpPySulfwe75g2mHuqzxtUD/RlcdlRd5yoE5jVBTFIzKdNoWbg+iPQCFZvmD8X9P+tIPx2JZnNAIk/e3pUJvh3YGpjIR/vDubePK3klag6GpfP+2N6oNTre/SWMO3q246cpA2vs7VdfURlFHLiQxqJRXastO4/JLGJbUBI9Xa2vWosrKdcwe00gKXmlOFmZUFCqYcZwT374K4oxvV35eqJPtXP6SbklTFl+mszCMlbPHNzgvWaS1Jp0ctRX+MZmFTdzJPVTnzWuPcAeRVGGCSFO3oCYpGYghOD1nSEExOXy3aQBDOxoX+X6vedS+OL3izzk054XR/fg9wtpvLbjPLd0c8RAgX2habz9gDdqreCDX8O429uFHyYPvKqrhU4nKNPoGjQC+/5P/drWnFuqLqmWa3R8diCCFf/ol17bWZtWSVz6ac1gQpLy6GBvQVqBinkjO/PjX1Hc0bMd300aUO1JyTGZRUxdfpqiMg3r5w656r+FJLU1lqZGuNqYEZPZRhLXFaIURXkDfePbyvtVHCgptXI/HYlmZ3AyL4z24iGfqu2cTsdk89LWc/h5OvDFhH6cjMnm6Y1n6Otui4OlKXvPpfDqmJ5odTo+3h/BvX1c+W7SgCq9/dLyVXxzMJLDEemo1Dp2LBper31YiTkl7D2XwvyRXaqsbSVkl/D0pmDOJeVzSzcn/onKopfbv50rdDrBq9vPc+RiJp2dLEjMKWXerV346a9ohnVx5KcpVydVgItphUxZfhohBJvmD6V3+9oPsZSktqKzkyWxWUXNHUa9NKQ4Yw9gCxwC9l3xJbVyv57Xj6Ye7t+ep+/oVuW6S+mFzFsbSAcHc5ZN9yUspYB5awPxdLSgi7MVe8+l8OJoLwSCj/fru8J/f0XS0mh1LD4Sze1fHmH32WRGdHPCyFDh64MX6xXb1sBEFGD6MM/Kyw6EpnH/938Tm1XMd5MGkFNcjp2FMZ8+2hfQjx4/3h/OzjPJdHG2JC67hNm3eLL8nxgGdLRn+QzfaqcvL6Tk8/jSkxgosGWBTFrSzaWLsyUxbWWq8AoWQohXmywSqVmcScjlxa3n8O1kz6eP9qtSDp5eoGLGSn9MjQ1ZPcuP1IJSZq4KwMnKhH4etmwPTubpO7phYKDw+YGLjO3fnq8m+FROvyXnlfL0xmCCE/K4p7cLb97nTUdHC0Z/fRSFuveKaHWCbYFJjPJyxt3OnDKNlo/3hbPmZDw+Hrb8MHkgi49GE5ZawPLpvrjZ6tfkFh+NZvk/sXRxsiQms5iZwz1ZfSKenq42rJw5GAuTq//Zn0/KY+ry01iZGrFx3tDKwy8l6WbR2cmSvBI1OcXl17zX8kZpSOL6VVGU+4QQjdFYV2oBEnNKmLsmEBcbM5ZMG1RlFFKgUjNjpT/5pWq2LBiGVieYutwfUyOFIZ0d2RaUxIKRXTA2NKgcrX01sX9locPxqCye2hiMWiv49vH+POTTHkVRKNNoScgpqVdz3CMXM0grUPHuQ95EZRTy3JazhCYXMHtEZ167tye7ziSx8XQCC0d1raz423g6gc8PXMTT0YKYrGIm+XVgS0AinR0tWTvbr9rijjMJuUxf4Y+thTGb5g29plZUktTadXXW9w2NzSrCwdKhmaOpXUMS17PAG4qilAFq9E13hRBCtsRuhfJL1Mxc5Y9GJ1g1a3CV9aMyjZaF64KIyihi5czBOFiaMOHnk2h1Ou7s7cqWgERmj+iMhYkhXx+MZNxAd74Yr6/OE0Kw8ngcH+8Pp6uzJT9PHUQX538b6QbH51Gm0eHXue4/jP0haQCcisnhqY1nsDQ1Ytl0X0Z7uxAQl8Pbuy9wSzcnXrpb3/7p1/MpvLk7hI4OFsRllzBuoDu/nE3BzdaM9XOHYF/Np8ig+FxmrvTHwcqEjfOurqSUpJtF54pZhujMYgZ1aiOJSwhhXXG8SXfk/q1WrUyjZd66QBJzSlk7x6/ykxboixpe2naeE9HZfDXBB+/2NkxccpKCUjX393Njc0AiU4Z0xNbciG8OXaqStMo1Ot7eHcqWwETu9nbhq4k+WP9n0/G+kBTMjA24pR7l5Z4VJbqrT8Rxfz833nuoN05WpsRmFTN/bSAe9ub8MFlfGfhnRDrPbT6Lu505CTkl3N/XlcPh6dhZmrB+7hCcra/etByckFtxXpgJm+YPrZxqlKSbkYe9OcaGSquoLKx34lIUZS76UZcHcBYYCpxAtmZqVXQ6wcvbzlc2zh3axbHK9R/vD+eXiirBu7xdmLT0FCl5pTwywJ1N/olM9PXA0dKEbw5dYvwgDz57VH/IYk5xOQvWBRIQl8szd3Tj+dFeV7VPKtNo+fV8KqO9XbE0rfuf3tN3dmfeyC7ohKhcl0rLVzFtxWkURWHVrMHYWZhwIiqLheuDcbY2JSm3lLt6teNUTDZmxoZsnDu02r6Gl6cHnaxM2Dx/GK628rOYdHMzMjSgk2PrqCxs6FThYOCUEOL2io4aHzdNWFJT+fKPi+w9l8LL9/S4arPusmMxlR3Spw/ryPSVAVzKKGT8IA82+Scy1scNVxszvvszigkVScvAQCE6s4g5qwNIyVfx/aQBPPifcvrLDoalk1eiZkIDjra/ct0tq6iMaStOk1eiZtO8oXRytCQwLoe5awOxtzAmNV/FyO5OhCTloygKG+YOpaPj1etV5xLzmL7CH8eKkZZMWpKk17mioKmla0g5vEoIoQJQFMVUCBGBvquG1EpsPJ3AT0eimeTXkSdu61rluj1nk/lofzj39XXllTE9WLg+mDMJuYwboE9a9/V1pYODJd/9GVU50jIwUPCPzWHcTycoVGnYNG9IjUkLYJN/Au525td0vH1WURmTl50iMbeE5TN86ethy9nEPGauCsDS1Ij0gjKGdnEkKqOIMq2O9XOHVHtI5YWUfKatOI2dpb4QQ04PStK/urezIjarmHKNrrlDqVVDEleSoih2wG70JxXvQX/kiNQKHLmYwdt7Qrm9hzMfjK3aBf2fS1m8tO0cQzo78Pmj/Xhhyzn+vpTFuIHubAlM5M6e7ejsZMkPf0Ux0deDzyuS1q/nU5i6/DSOVibsemJErQu6URmFHI/KZpJfhwYfm5CaX8rEJSdJyClh1Uw/hnZxJCQpn+krTmNmbEBWYRm+nvYk55VQWKZh/Zwh9HS9umboYlrhvyXvNUwhStLNzMvFGo1OEJfdskddDSnOeKTix3cVRfkL/WbkA00SldSoLqTk8+SGYLxcrPl+8sAqbY7CUgpYuD6ILk5W/DxtEO/sDePAhTQeGeDOjuBkRnZ3oqebNT/+Fc1jvh34ZJy+i/qKf2L54NcwBnvas2y6L3YWte/7WHYsFlMjAyb5dWxQ7DGZRUxb4U9BqZq1s4fg19mBCyn5TF1xGiNDA3KKy+nfwY6sojJyispZN3cIfdyv3jgck1nElOWnMTY0YKMseZekanV30c9SRKYX4uVy7SeMN7WGrHFVEkIcbexApKaRlq9izupAbMyNWT2rarf3pNwSZq7yx9rMiFWzfPn20CV2BCdxf19X9pxNZmhnR/q42/LjX9FM9PXgk3H6zhQf7Qtj2d+x3NPbhW8fH1BnE92MAhW7ziQzwdejQUeSnE3MY9YqfwwUhU3zh9LH3ZYLKflMWX4aAwXyS8rp625LoUpNen4Za2b7VdtXMDmvlKkVbZw2zpebiyWpJl2drTBQIDK9ZRdoXFPiklqH4jINs1cHUKhSs23hcFyuOCBOv48rgFK1lh2LhrMtMJnVJ+K4q1c7fr+QzoAOdvTvaMdPR/4daWl0gtd2nGfnmWSmVxxdX59pvxX/xKLR6Zh3a/2PJDkUls4zm8/gZGXK2tl+eDpZEpqsH2kZKAr5JeV4t7elpFxLYm4pq2YNrnZvWEahiqnLT1NYpmHz/KF0a9dyP0VKUnMzMzbE09GSyLTC5g6lVjJxtVFaneDZzWeISCtgxczBeLf/d81Hpdbv40rILmHNbD9ORmfzzaFIbunmxLFLWXi3t2FwZwcWH/l3pKXSaFm0PpijkZm8ONqLp+6o39H1ucXlrDsVz0M+7es90tnkn8Cbu0Lo3d6WFTN9aWdtVtmSycjQgILScnq52VCu0RGfU8KKGb4M73p1wUd+iZrpK/xJy1exfq6f7D0oSfXQ3cWKyAyZuKRm8Mn+cA6FZ/D+2N7c3qNd5eU6neDl7fp9XN9NGkBGoYp39l7A19OeoPhcujhZMqyLIz8fjWHCIA8+HdePvFI1s1b5E5Kcz6fj+vJ4A9aplhyLoVSt5cnbu9V5WyEEn/9+kcVHohnl5cziqQOxMDGq7G5hYmRAXok+aWl0gtjsYpZOG8St3a9uH6U/hyuA6Ex994+W3glAkloKLxdrDoVnoFJrr/ssvaYiE1cbtPF0whX7sTyrXPflHxcrNxjbmBkxd00gfdrbEJFaiJudGSO9nFlyLKZyn1ZKfikzVvqTlFvKkmn6dkv1lVGoYs2JOB7yaU/3OhZ6yzU6Xt8Zwo7gJCYP6cj7D/XGyNCAk9HZzF0TgIWJEdnFZfR1t6VcqyMms5gl0wdx2xVJ+bLL53CdScjlh8kDq01skiRVr5ebDVqdIDK9kH4eds0dTrVk4mpjjkdl8faeUEZ5OfPW/b2qXLfZ/999XEO7ODB52Wk6OliQlFuKnYUxo3u5sORYDI8O9ODTR/sRk1XM1OWnKS7XsGa231VdNury01/RlGt1PH+XV623KynXVE5DPndXd569szuKovDXxQwWrgvCzsKYjIIy+newQ6XREp1RzJJpg6qMJC/TdwY5x5GLmXwyri/39XVrUMySdLPr56GfUj+XmNdiE1dD9nFJLVxURiEL1wfRzdmqsoffZcejsnhrdygjvZyZNbwTs1cHYG9hTIFKjYmRAff2cWXJsRjGDXDn8/H9CEnOZ/zPJ9DoBFsXDGtw0orLKmbD6XgmDPKodW0rr6ScSctOc+ySPtE8d5e+VdS+86nMXxuIo5UJ6QX6fVql5VqiK0Zat/e8OmkJIfhofzi7z+o7gzS09F6SJHC3M8fJyoRzSfnNHUqN5IirjcgpLmf26kBMjQxYMdO3SnPbqIwiFq4PoquzFe8+6M30lf4ACECjEzw60J1lf8fycP/2fDHBh1Mx2RVJw5T1c4ZU2zapLl/8fhFjQwOeH13zaOvyeV8xmcUsmTqIu3u7ArA1IJHXdp7Hw96ChJwShnd1JKuojLjsEpZN92VUDUeiLD0Ww4qKKdL/dgaRJKl+FEXBx8OOc4l5zR1KjeSIqw24fAxJWoGKZdN98bD/N9HkFpczZ00ApkYGfPd4f57aeIbsojJszIwpKFUzboA7K/6J5YF+bnw5wYeDYenMWhVABwcLti0cdk1J62xiHvtCUpl7a5cqJfhXSs0v5fGlp0jMKWHlzMGVSWvZsRhe2XGejg76pDXKy5n0AhUJOSWsnDG4xqS1MziJT37Tn8D8vwe861XxKElS9Xw62BGVWUR+ibq5Q6mWTFytnBCC/+2+gH9cDl9O8GHAFRtwLxcppOap+HHyQD76LYKItALc7MxJzVcxfpAHK4/HcV9fV/7vsf7sOpPMExuC6O1uw5b5w2pMOrXR6QQf/hqGo6UJ80dWv28rKbeECT+fJLOwjLVz/LiluxNCCD47EMFH+8Pp4mxJXHYJ9/R2IT67mNR8Fatm6m9XnaORmbyy/TzDuzry1UQfDBrYUkqSpKqGd3VECDgRndXcoVRLJq5WbuXxOLYEJvL0Hd146D8Nbt//JYyTMdl8Mq4PO4OTORaZSVdnK+KzS5jg68Gak/Hc7a3vfrH+VDwvbz/PiG5OrJ8zBFuLf6cayzU6DoSm8dUfF1nxTyxCiBrj+eV8CoHxubw6pmeVLh2XJeWWMHnZafJL1WycN4RBnRzQ6gRv7Aph8ZFourWzIiazmLE+7QlNzie7qJx1c/wY1rX6NbaQpHwWrQ+iu4s1S6YNwtSoZZbvSlJr4tPBDitTI/6OapmJS65xtWL/XMrio31h3NPb5arKvQ2n41l3Kp4FI7uQVlDGlsBEujpbcimjiIm+Hmw4ncDtPZz5ftIAfj4SzVcHI7nb24XvJw+ofPMv1+hYfSKWpcdiySoqQ1FACP0G5ur2ZZWWa/n0twh6t7dhfDVHl2QUqJiy/DR5JeWsmzOEfh52lGm0PLf5LL+FptG9nRWXMop4bHAHjkRkUKbVsWHekBormxJzSpi1OgB7CxNWzxp81aGVkiRdG2NDA4Z3deSviAx0OtHiZjHkiKuVSsgu4cmNwXRrZ8VXE/tX+YcVEJfDu3svMMrLmV5uNnzx+0U6OVoQnVnMw/3bsz0oiVu7O/HTlIF8c+gSXx2M5JEB7vw0ZWBl0vozIp07vjrCx/sj8G5vw+pZgwl/f4x+LeyPi2QVlV0V049/RZGar+KdB3tf9Q89u6iMSctOkVmo7ynYv4MdRWUaZq0KqJK0ZgzvxKGwdLRCsGne0BqTVm5xOTNW+qPW6lgze/A1TWtKklSz+/u5kZqvIjA+t7lDuYoccbVCJeUaFqwPQgjBsum+VabkUvNLWbQ+CA97C2aO8GTB2iDa25oRn13CmN6u/HI+lcGeDvw8ZRCf/hbBmpPxTBnSkQ/G9sHAQKFApebdPRfYeSYZLxcr1s72Y+QVBRG+nez59Xwq//38lZBdwtJjMTwywP2qnoEFKn1fxOS8UtbM8mNAR3uyi8qYuSqAsJQCujhZEpVZxIKRXdjon4CVqREb5g6hi/PV52mBfsQ3d20gSXmlbJg7RPYflKQmcFcvF8yMDdh7LrnaPqDNSSauVkYIwWs7QohIK2DVzMF0cvx3j1RZRT/B0nItX4z34fktZ7E2MyIlX8UoLyf+jMigr7stS6f78u4vF9gWlMS8Wzvzxn29UBSFoPhcntl0htT8Up65sztP3d4NE6Oqg/LIjCIsTQyrHGMihODtPaEYGSq8OqZnldur1FrmrgkkPLWApdMHMaSLI8l5pUxbcZrk3FLa25mRmFvColFdWXU8DldbM9bN8atSGXmlyz0YgxNy+XHyQAZ7tqw/KElqKyxNjbjb25W9Z1N4/d5eWFazZt1cmnWqUFGUDoqi/KUoSpiiKBcURXm24vJ3FUVJVhTlbMXXfc0ZZ0uy8ngce8+l8NLdPa5qd/T+L2GcTczjvbG9ee+XC2i0gpzicnw72XM6Nodu7axYPt2Xt3eHsi0oiWfv7M4b9+m7ayw5Gs1jS05iaKCwfdFwXhjtdVXSEkJwLDKTYV0dq3SF//V8KkcjM3n5nh642v47ZafR6nhu81n8Y3P4aqIPd/R0ISqjiAmLT5BRUIa9hTFZReUsGNmVZX/H4OlkydYFw2pMWkIIPvg1jN8vpPP2/d6yK4YkNbEZwz0pUGnYFpjY3KFU0dwpVAO8KIQIVhTFGghSFOVgxXXfCCG+bMbYWpwT0Vl8vD+cu71drtpguyMoiQ2nE5h7a2e2BiaRlFcKAnq6WhOeVoC7nTkrZvry5u4Qfr+QzqtjerLotq4UqtS8tO0cv19I594+rnz6aD9szasvcjiTmEdSbinP3tm98rLiMg0f7Qund3ubKn0RhRC8/6v+UMr/PeDN2P7uhCbnM32lPzohMDUyoKRcy4xhnfjxSBQDO9qzcubgGp8b9A17V5+IY+4tnZl9S+fr+48pSVKdBnWyZ1Ane1Ycj2Xq0E5VuvE0p2aNQgiRKoQIrvi5EAgH3JszppYqLV/FM5vO4OlowdeP9a+ywfZiWiFv7g5hSGd78orL8Y/NwdhAoX3Ffi07cxNWzhzMW7tC+f1COu886M2i27oSk1nEwz8e51B4Bm8/4M1PUwbWmjg2nErA3NiQMX1cKy/74veLpBWoeH9s1bO5fjoSzdqT8cwf2YXZt3TGPzaHSUtPYagoaCuqlMYP8uDnYzGM8nLWl+DX8tx7zibzacUG48ujREmSmt6CkV1IzClla2BSc4dSqWWkT0BRFE9gAHC64qKnFEU5ryjKSkVRrj7WVn+f+YqiBCqKEpiZmXmjQr3h9BuJgygp17J46qAqxRjFZRqe2BCElakxQ7o4sj04GStTIyxMjCgt12JsZMDKmb78b88FDkdk8OHDfZg1ojPHo7J4+Mfj5JaoWT9nCHNu6Vxrt4m0fBV7zyXz2OAOlWXn5xLzWHMyjhnDOlU5NmTvuRS++P0iD/dvz2tjenIsMpPpK09jZWZEUZkaO3Nj7uzZjpXH9Z3jl07zxdyk5v1Xf1/K5KVt5xjaxUFuMJakCjfq/W+0twt+ng58+cdF8ktbRieNFpG4FEWxAnYAzwkhCoDFQFegP5AKfFXd/YQQS4UQvkIIX2fntnt0xRe/XyQ4IY/PHu2H1xXHgwgheG1nCLFZxcwa4cl3h6OwNjNCp9NhamRAmUbLsumD+HBfOMcuZfLpuL5MHdqJ9afimb7SH1dbM/Y8OaLGzb1XWnosBp2AORVTdGUaLS9tO4eLtRkv3tOj8nanYrJ5cetZ/Dwd+PTRfhyOyGDumkCcrUzJKirDw94CHw87NgckMn1YJ/7vsf5XraVdKTQ5n4Xr9H0Wl073lRuMJanCjXr/UxSF/z3oTW5JOd8eutRkz9MQzZ64FEUxRp+0NgghdgIIIdKFEFohhA5YBvg1Z4zN6VBYOkuPxTB1aEce/E9njHWn4vnlXAozh3uy+K8oLE0NKS7T4GxjRk5JOT9PG8hXf0TyT1QWnz/aj4m+HfhoXxhv7dYfe7LziRF0cKi7F2FavooNp+N5uL975e1/+DOKSxlFfPJoX2wqRmCXu9N3dLBg2QxfDodnsGh9EG52ZqTkldLD1Rp3O3N+DUnlubu6895DV+/3ulJ8djEzV/ljZ2HCmtl+lc8jSdKN1cfdlkl+HVl1IpZTMdnNHU6zVxUqwAogXAjx9RWXX1ku9ggQeqNjawnS8lW8vP0c3m42vP2Ad5Xrzifl8cGvYdzSzZE/IzJQ6wTFZVo8nSxJzi3lu8cGsPhIDP9EZfHZo/140Kc9z2w+w7K/Y5k+rBNLpw2qtiVTdb778xI6ISqLMi6mFfLz0WjGDXCvPBMrp7icWasDMDIwYNVMP45czOCZzWfwsDcnPruEAR3tsTAx5EhkJu8+6F15fElNMgpVTFvhj0YnWDPbT24wlqRm9uZ9vfB0tOT5LWfJKylv1liau6pwBDANCFEU5WzFZW8AkxRF6Y/+5I04YEFzBNecNFodz2w6Q5lGV6UNE0B+qZonNwbjZGkCKCTklKAT0MXZkpjMYj57tC/r/RMqk9Y9vV2ZvsIf/7gcXr+3JwtG6SsSS8u1HLiQyqnoHIyNFB7o1/6qc7ci0wvZEpDIlCEd6ehoQblGx3NbzmJjZsybFQdV6vdqBZBeUMbm+UM5k5jL81vO0sHBgrhs/bEkRSoNF1IL+HqiD+MGXt0O6koFKjUzVwaQWVjGxnlD6Nau+o3IkiTdOJamRnz7eH8eXXyCV3ecZ/GUQc223tysiUsI8Q9c1YQBYP+NjqWl+f7PKPzjcvi/x/rT9YoOEkII3tgZQmqeigd93Nh1JgWAjg4WxGQW8+qYHvxxIZ1jkZl89mhfRnk589iSk0RnFvHdpAE85NMetVbH+lPxfHv4EnklauwsjMkrUbMrOJkz/7u7cs1JCMGH+8KxNDHkuYpeiD/8FaXfTDxtEI5Wpuh0gpe2neNMYh4/TR5IYk6JPmnZWxCfrT+WJDW/lLisEn6aMpB7erte/WKvUFquZe7qQCLTC1k+w7dKt3tJkppXPw87Xh3Tkw/3hfPlHxd55T8NB26U5h5xSdU4HZPN939eYtwAdx4eUHV3wOaARPaFpPJAP33SMjJQcLQ0ISGnhNnDPTmbmFdZPTi0iyPjfz5BTlE5K2cO5tbuzoQm5/Py9vOEpxZwSzcnnrqjG36eDqw7Fc87ey9QqFLjaGUKwOHwDI5FZvL2A944WJoQGJfDDxVxXT4/66uDF/n1fCqvjumJRid4fstZPOwtiM8p4c6e7YjJKiI1X8WKmb7c2r32BWS1VseTG4MJiM/hu8cHXLXBWpKk5jfnls5EZRTx05FoPOwtmDzkxp80LhNXC1OoUvPC1nN0dLDg/Yf7VLkuPLWAd/dewMfDlt8vpGFiaICZsQHphWU85ONGRlFZ5T4tv84OjP/5JGqtjg3zhtKnvQ3fHrrEd39ewt7ChJ+n6kc/l9eZCirKXC9vMCwp1/DO3gt0a2fF9GGdKCnX8OK2c7jbm1fGtT0oiR//imaSXwc8HS14atMZ2tuak5BTwl292hGRVkBeiYa1s4fU2etMqxO8sPUcf1Yk3f8WokiS1DIoisIHD/chNV/F23tCcbEx5c5eLjc0hmavKpSqemfvBVLzS/lqYv+r9ms9tTEYS1MjEnNKKi8vKtNwSzdHTI0MK0c+vp0ceGzJSRRg24JhtLc1Y8ry03xzKJKHfNpz+MVRjOnjVqU44u9LWfR0ta7cBPzd4SiS80r5ZFxfjA0N+HBfOPHZJXwx3gcrUyNOxWTz+s7zjOjmyO09nXlm8xlcrE1JyitltLcLF5LzKSjVsH5u3UlLpxO8vvM8v5xL4bV7ezJ1aKfG/Y8qSVKjMjY04McpA/F2s2HR+mAOh6ff0OeXiasF+f1CGjuDk3nq9m4M6vTv2o4Qgtd3hhCTWYyduRH5pWo0Wv1hjt5uNnR2smJbUBJP3d4Nv84OTF52CktTI7YtHEZhmYb7v/+H80n5fD3Rh28e639Vh4qItAL843J4qL9+lHMhJZ9lf8cwYZAHgz0dOBiWzsbTCcwf2YWhXRyJzy6uLHufMcyTpzaexcHShJR8FaO9XTiXmItKo2PjvKH072BX62sWQvDuLxfYGpjEM3d0Y+GorrXeXpKklsHK1Ij1c4bQw9WaheuDOBR245KXTFwtRHZRGW/uCsHbzYan7uhe5bpN/onsPZdC7/Y2xGSVoBVgbmKIq60Zw7s5se5UPLNGeHJLdyemrTiNo5UJWxcM43RsDo8vOYW5sSG7nxxRYzXf0qMxmBsbMtmvI2qtjpe3ncfewoQ37+9FSl4pr2w/Ry83G166uwd5JeXMWhUAwIt396ioMDQivaCMO3o6cyYhF52ATfOH0sfdttbXfLmf4dqT8cy7tTPPj/aq9faSJLUsthbGrJ87RD/y2hDE/pDUG/K8MnG1EG/tDqWgVMPXj/lU6SQRnlrAu79coKuzJaEpBQBYmxphZmzI2P7tWXoshvGDPBjdy4VZqwJwszVj8/yhrD8VzyvbzzOkiwN7nxpBD9fqz6yKzy5mz7kUJvl1xM7ChGV/xxCWWsCHD/fGytSIZzefQa0V/Dh5AABPbgwmKbeUt+7vxWs7zmNqZEBWUTm3eTlzLjEfUNg0byg9XW1qfb1CCD7aF86q43HMGuFZebSKJEmti625Mevm6k8qf3JjMKuOxzb5c8rE1QIcCE3jt9A0nr2re5U3/NJyLU9vOoOliSGxWcUAWJsZUa7VMX1YJ77/M4q7vV14ZEB75qwJxN3enLWzh/DhvnB+OhLNJL+OrJw5uMrZWf/12YEITAwNWDCqC2EpBXxzMJL7+7oxpo8bX/4RSUBcLh8+3IfOTpa8uSuE41HZvHi3F5/+dhFFgdwSNbd0cyIkOR8DA4XN84fS3aX2gx31x5OEs/yfWGYO9+R/D3jLpCVJrZiNmTEb5g7hbm8X3vsljI/2haHTiSZ7Ppm4mlleSTlv7Q6hd3sb5o/sUuW6d/aGEpVRhEYnEAIsTAwpUmmYP7ILP/wZxdAuDkwf1om5a4Jwtzdn2TRfXth6ll/Pp/L6vT35+JE+GNdyDMGpmGz2h6SxYFQXbM2NeWHrWWzNTfjokT78FZHBz0f1ye/hAe78fDSGbUFJzBrhydqT8ZSWa8gv1TCkswPhqQUYGOhHWnVtFtbpBG/uDmXl8Vhmj+jMOw/KpCVJbYGZsSE/TRnEjGGdWPZ3LM9sPkOZRtskzyXL4ZvZp79FkFuiZs1svypJZmdwElsDk2hnbUJmUTlGhgol5VpmDfdk2d8x9HC15snbu7Fgnb4X4PeT+vPkxmAi0wv59vH+jO3vTlRGEetOxvFHWDq93Gz49NG+tLPWt05Sa3W8s+cC7nbmLBjZlc8PXCQirZCVM31RqXW8uO0cPV2teedBb/aHpPLZgQjG9Hbl78hMsovKKNPoGNTRjujMIhRFYVM9OlyotTpe3X6enWeSWTiqK6+O6SGTliS1IYYGCu8+1Jv2duZ88lsEmYVlLJ3mi61F4/YZlSOuZnQqJpvNAYnMHuFJ7/b/FjKEpxbw+s7zOFoak1FYDgLUWsHY/u3ZEZyEm605r93bkyfWB+Nsbcr/PdafJzecITarmOUzfLnb25WP94cz5v+OsSkgEU9HS/6MyOB0TE7lc6z4J5aL6YX870FvAuNzWHk8lhnDOnFrd2cWbQiiTK3lh8kDuZCSz/NbztK/gx3J+aXEZZdQrtXR292GxFx9Wb4+adU+PahSa3liQzA7zyTz4mgvmbQkqY1SFIUFo7ry7eP9CU7I5dGfT5CUW1L3HRtAJq5mUqbR8sbOEDo6WPDC6H+PBSkq0/DEhmCMDQ3ILq44+0aBYV0cOB2Tg5mxIe8+6M3Tm85ga2HMFxN8WLQ+mMzCMtbN8cPV1oyxP/5TWbRx8rU7+OgR/YbhknINADGZRfzfoUju9nZhUCd7Xtp2jm7trHj9vl58tC+cMwl5fD7eByMDhXlrg3CzNcPM2IDQ5HwAurezJquwDI0ONsyte00rv0TN1OWnORSezvtje/P0nd1l0pKkNm5sf3fWzh5CRoGKR346QUhSfqM9tkxczWT537HEZBXz/tjelYcoCiF4dft54rOLKS7Tzw0bGyp0dbYivbCM4nINHz/Slxe36av5Pnu0H89sOkNxuYaN84aSnFdaeTjk2tl+fPpoPxytTDkcngGAr6cDWp3g5e3nMTUy5L2HevPStnPklaj57vEB7A9JZfWJOGaP6MzQLg7MWOWPEAJPR8v/b+++w6Oo1geOf89uem+kACEkISEJpAChF1FQukq5CioWuKKoV/Tea+/+vCr2XkAFUZoKCqJUlSK9JZAOSSCFJKT3bLac3x+7xAABUSCFnM/z5MlmZnbmzWx238yZc97DrgzzrMpdPB2oqNNTqzfx1cx+5+yteEp2SQ2TPt7OoZxyPpjWm9sHdr2s51VRlNZjYLAnK2YPwkar4eZ5O/kt5eQl2a9KXC0gq7iG9345wugevqfV4/t613F+OpyHtVaDBGysNDjbWuFgoyWnpJZXJkby3OpETFIyd3IU//kmHp3BxOJ/9mfNoRPMWRZHVCc3fn5wKMNCzXUB6w0mFu44Rp8Ad4I7OPHp1nT2Hy/l+esjWHkwl82phTw1Lpx6o4knVh6mf6AHD48MYeaX+8gvryM2wIPNaYXYWmnwdrFDZzBRVWfg65n9T2vebMr+46VM/Gg7RVX1LJrZj3FRfufdXlGUK0+IjzPf3z+IoA6OzPxyL4t3H7/ofarE1QJe+DERK8tNzFMST5Tz4pokHGy06AwmrLUCo9FEqK8zh3LKefGGHrzzyxHKa/XMnRzJ4ysOU280seCuWN775Qifbs1g+oAAFt/dnw7Otg37XbY3i9yyWh4cEUJCbjlvbUhjbKQvPs52vLkhlQnRHbkuwod7vtqHt4st702L4eFv4jiUU8Y1Yd5sTC7A3lqDq701GgFl1fV8ObMfkZ3Pn7RWHshh2jxzBY8VswedNV2Koijth7ezHctnDWR4d2+e+j7homdSVr0Km9n6xHx+STnJk2PD8HU19/Az1yE8iFZATb0RjTB3xhgW4sXWI0U8Oqo7S/dmk11Swxv/iOb51UnUGYzMv70PL/6YzIGsUp4dH8Fdg7uedu+opLqeNzekMTDIk9gANyZ8sB1PJxsevCaEWz/bTaCXI89NiGDmwr1U1hn47t6BfPBrOpuSTzKqhw9rE/Kxt9ZiZ63B0VZLXnkdX97Vj97nmWpEbzTx8s/mgcUDgzz56NbeuDueexyZoijtg6OtFfOm9+GxFYd5e1MaJin/drUclbiaUZ3eyIs/JhHm68xdgwMBy32tFYcaBhgDmCQNSWv6gAB2ZRRzOKeMuZOjeGNDKhV1ej6+tTfP/JBIRmE1H97Sm7GRZzfDvbQmiSqdgRdu6MEzqxLJLKpm4Z39eHzlYer0Rj69bQAv/pjEodxyPr2tD7+lFvLVruNcFerF+sQCHGy0aAR4ONqQXVrLgjv70v88V07ZJTX8a+lB4rLLGqphnG8cmaIo7YuVVsNrU6LQCHj3F/NV199JXipxNaN5WzPILatl6d0DGj7QP/89kzWH8hACpGWgeWyAO78fLWJEWAcqdQa2HiniuQnhfLYtk8JKHe9N68VzqxPJLas95zxXG5MKWHkwlwev6UZcdhkrD+QyZ0QIm5ILiMsu46Nbe7MhuYDV8Sd4ZFR3KusMvL4+lb5d3dmaVoSDjRYpJX5uDhwrrmbe9FgGd/M65+/2w8FcnvkhAQR8dGvTiVRRFEWrEcydHAWYk5eTrRV3n1F84c+oxNVMjp6s5INfjzIuyo+Bwearlt0ZxbzyczLWWoHeKNFqBIGeDiTnVxDu50JQByfzCPRrurE6Po/MomrevjmaV35Obmi2a+oKqKhKx+MrDhHh58I14d7c/OkuBgZ54utqy7u/HGHWsCA0QvDaulSuj+5IuJ8zdy/aT4SfCweOl2JnrcVgNBHo5Uh6YTUf3tqbq8OantTRXPkjgTWH8ujb1Z23borB38Phsp5LRVHaNo0leVXXG3h5bTLB3o5cE3bhc3qpdpxmIKXkye8TcLDV8vwEc4eMoiod9y85gJXmj6TlZmdNVb0RRxsrxkX5MX9bJlP7+hOXXUZ8dhn/m9iTdzYdIa+8joXnSFpSSh75Np5KnYEXb+jBg0vjcHOw5u6hgTy3Kokh3bwY09OXh5fHEe3vxrR+Xbh/8UH83e1JP1mJjZUWvdFIcAcnjpys4p2pMYyyzHZ8pi1phYx6ZyvrEvJ5ZFR3ls0aqJKWoigXRKMRvPmPGMJ9XfjPN/GcrKi78OdexrgUixUHctmTWcKjo8Lo4GyL0TLFfXFVPTqjRAgQSLxdbSmtrmf28GDeWJ/K8FAvdAYTW48U8cy4CBbuOEZWSQ2f39H3nJMzfv57Jr+lFvLEmDDe/eUI+eV1vHhDTx5dcYhO7vY8OS6cWV/tx9PJhifHhDF78X7cHKwpqKhDaAQ6g5EQH2dSCip566YYxkedPRNxbb2RZ1clcMcXe3C1t+aH+wdz/9Xd0GrUoGJFUS6cvY2W96bFUFNv5IU1SRf8PJW4LrPS6nr+91MSsQHuTO3rD8AnW9LZdqSIU7WTpYTeAR4k51Xy8LWhvLkhjXA/F0J9XPj+YC7/uqYbaxPySSuo5NPpfRqaGs+0O6OYV9amcF2ED7mlNWw7UsSTY8N4e2MaOr2Jt/4RzYNLD1JXb+TliZE8uOwgAqis1WOSoNOb6O7jTEp+Ja9PiebGXp3OOkbiiXLGv7+NRTuPM2NwIKsfGPKn824piqKcSzdvZ2YNC+KnQ3kknriw6hoqcV1mL/+cTEWdgf9NjESjEezJLOHNDak0vjbp29WdPZkl3DU4gEU7juFoq+X66I7M25bBzX07k5pfyd7jJbx1U8xpA5Ybyy2r5f4lBwjwcGBoiBef/X6M6QMC2JJW2NDk9+q6FI4XV/PalCieXZVAtc6I0STRmyQ6g4kwX2eS8yt5dVIkU/qcPumklJIvdxxj4oc7qLQMQH52QgR21trLePYURWkP7h4WhJ21hm/2Zl/Q9ipxXUa/phTw7f4cZg0LoruvMycr67hv8X5zD0JAIyDE24n9x0u5urs38dnllNTU88DV3XhtfSpDQ7ywtdKyIamA58ZHMCH67GY7MDfdzVq0D53exAPXdOPFNUkM7uaJwWjit9RCnp8QwYoDOezOLOHF6833yfIr6tAIqNOb0BlMhFuS1ssTI7m5b5fT9l+tM/DA0oM8tzqRoSFerJ0zlCEh5+5hqCiK8le42FkzLKQDv6ZeWEkolbgukyqdgae+T6C7jzMPjQzBYDTxryUHKK6qx2gCrRA421mTX1FHiLcTrvZWHMgq49FRYby2PpUQbycGBXuyaOdx/jkkkDst477OZLLcL0vOq+DJceG8uCYJf3cH+gS4s3RvNvcMCyK1oJKfD+fz3+tCWbY3i4yiKmyttNTqjdQbTXS3JK2XbuzJLf1PT1rZJTVM/ngHaw/n8djoMObfHounk22TsSiKovxdYX4u5JbWojea/nRblbguk1fXJpNfUcfLk3pia6Xl9Q2p7M4sRYKlmVDiZGuFlUYwqocfP8SdYNawIBbtPIatlYZ/Dg3k9fWpXBfhw5Njw899nHUprEvM5+GRoXy6JR2NEEzt5897vxzl+uiO2Fpp+HpXFjOHdGVrWhEJJypwtNFSU29Ab5R093EiNb+S/03syW0DAk7b995jJdz44XZOlNWy4K5+zB4ejEZ1wFAU5TKw0ghMEkzyz2dOVonrMtidUczXu7K4a1AgfQI8+DWlgE+3ZDSsl0B3XxfyK+qYPTyYDzcfZUS4N0knKjhRVsdzEyJ44cckuvu68PbNMedMFgu3ZzJvawa39OvCLykF5JXXcd9w86SQg4I9iezkwnu/HmVir04knahg3/ESnGytqNIZ0RslId5OpJ2s4pVJkdza//SktfJADrfM34WLvTXf3z+Yq0LPHuSsKIpyqWQUVuHlZIut1Z/fN1eJ6xKr1hl4bMUh/D3s+e+oUPLL63hoeRyNc09UZ1eS8iqYfVUQH29OJ8jLkS4eDvx+tIinx4Xx7i9HsdZqmH97Hxxtmx4jvubQCV5Yk8TIcG/yy2uJzynn4WtDeWtjGqE+zoyN9ON/P6dwbbgPxVU6dmaYk1a1zoDBJAnycuRoYRVzJ0cxrd8fzYMmk+SN9an8+5t4YgM8+OG+wQR3OP/MxoqiKBejtt7ILyknGd79wv5BVonrEnvhx0SySmp4Y0o0tlZa5iw7QGWtAZM0d8YI8HAgIbecMT19+S21EINJcmv/LizYfoxb+/uzK7OEjMIqPrilF53dmx7MuzWtkIeXxxEb4I6znTW/phbyr2u68emWdLycbLljUADPrkpgULAneqN5HJizrRU19eZehF09zWWc3r4phpti/Rv2W6c3Mmd5HB/8dpSbY/35cka/Sz7ltqIoypnmbc2gss7AtH7+f74xKnFdUlvSCvlmXw73XhVM/yBP3vvlyGn3teyttVTqDHT1dMDWWkviiQoeHxPG6+tT6dXFjUAvJ34+nM+jo8MYFNx0r709mSXM+mof3byd6O7rzPcHc5k5JJBv9+Wg1Wi4b3gwT/+QQHRnN2ytNGxOK8TRxtwRw2SS+HvYk1Nay/vTep82Tqukup7bPtvNj/EneGx0GK9OjsTGSv15KIpyecVll/Hhb0cZF+lHn4CmCyucSX0yXSLltXoe+TaeEG8nHhwRwo6jRQ3Vj8F8X6uzuwM19QZuiOnEDwdzmX1VEIt2HMfWWsucESHMXZfCyHBvZg1tuuDk/uOl3LVgDx3d7Bka4sXXu7K4KbYzvyQXUKUz8J9rQ3ludSKhPs64OljzW2ohDtYadAYTIPF1tSO/Qsen0/ucNqnj8eJqJn20nUO55Xx4S29mDw8+bXoURVGUyyG7pIZ7v9qPt4stL93Y84Kf16oTlxBitBAiVQhxVAjxeEvHcz4v/5RMUZWOt26KobxWz/1LDiDOuK+VWlDJ/Vd34+Mt6Qzu5klxtZ7UgkrmTo7i5Z+TcXew4fUp0U12xth3rIQ7vtiDt4sd4yJ9mbc1kwnRfsRnl1FQoePRUWG8sCaRAE8HPB1t2ZxqnrX4VEkpdwdbymr1LLyrLyPC/yhmGZ9dxqSPdlBeq2fp3f3VLMWKojSLY0XV3PzpTmr1RuZNj/1L8/a12sQlhNACHwJjgAhgmhAiomWjatq6hDyW78tm1rBgIjq68PDyg5TV6JGn7mt5OnAop5ybYjuzKu4EznbWjI/y45t92cweHkxcdilpBVW8NiWqyRdvZ3oxt3+xB29nW26M6cj7v6YzqocPmYXVZBbV8MjoUF5dm4yfqz1eTrZsPVKItVZgMEqstQJHGyv0JhOL/9n/tCbILWmFTJu/C3sbLStmD7rgy3RFUZSLsSO9iBs/2k6t3siSu/sT0dHlLz2/1SYuoB9wVEqZIaWsB5YBN7RwTGcpqKjj0e8OEd3ZlX9fG8rHm4+yI72k4b6Wg42Wkup6IvzML0x6YRXPjAvn5Z9TiPZ3Y2ykL59uyWBKn85NlnPakJjPHQv20MnNnkm9O/H2piOMCPfmZEUdKfmV/HdUKG9tOIKXsy3eLrbsSC/GSiMwmiT2Nho0QmBnreWbewbSq9HMxSsP5DBz4V66ejqy8r5BBKmeg4qiXGZGk+TjzelM/3wPHZxs+eH+wfTo+NdrnbbmxNUJaFy4KseyrIEQYpYQYp8QYl9hYWGzBgfmruP//TYencHEO1N7kZpfydsb0xrWS6CTmwNGk2RKn858sy+HWUODWL4vG6NJ8s7N0Ty3KhEXe2ueamKQ8ZLdWcxefIBwPxduiOnIGxvSGBHmTWl1PYdyK/j3taG8/8tR3B2t8XS0YU9GCUKYB/C52FujM5jwdbXju9kDCfVxNsckJZ9uSeff38TTL9CD5fcMwNvZrrlOmaIol0hLf/79VdklNdz62S7mrkthdA9fVt43iABPx7+1rzY9kaSUch4wDyA2NvbPh1tfYkv2ZLHtSBEv3diTDs623PHFbhoP+u4T4M7+46U8NTaMdzalEePvhp+bHZ9uzeDliZGk5FVyIKvsrCZCk0ny+oZUPt6czvDuHejdxZ03NqRxbYR5TFZ8TjkPjwzh483puDlY42Zvw8GsMvNVngQPJxuKq+qJ6eLG53f0xcOyb6NJ8n9rkli44xjjo/x486boCxrspyhK69PSn38Xqt5gYv62DN7/9QhaIXh9ShRT+nS+qA5grTlx5QKNO/V3tixrFbJLapi7NoVBwZ7c2r8Lj353iKySWsB8X6uTmz3x2WWM7enLrynm8VpPjAljxsK9DA3xYmrfzox/fztBXo5M7v1HJfbKOj0PL49jU/JJpvXzx8PBhrc2pjG6py8nK+qIzynnoZEhfLIlAzcHaxxstSSeKG+YIqWDsw0nK+sZGe7N+9N6Y29jTkx1eiNzlh1kfWIBM4cE8tTYcFW+SVGUy2pXRjFP/5DA0ZNVjO7hy7MTIujoZn/R+23NiWsvECKECMScsKYCt7RsSGYGo4mHlscBMHdyFKviTvDt/pyG9RpL9XcvJ1ui/d14ZW0KL0/syfxtmRil5OWJkew5VkpSXgWvTopsmIAxOa+C+xYfIKukhucnRJBeWMWHm9OZ2KsjR09WkZxXyZwRIXyyOR1PJ1s0Ao6erMZkyVpeTuakdduALrxwfc+G/RZX6Zj11X4OZJXyzPgIZg5pumCvoijKpZBfXsdr61NYeSCXzu72fHFnLNeE+fz5Ey9Qq01cUkqDEOIBYD2gBb6QUia2cFgAfLo1g/3HS3l3qrmO4JPfHzZPVWJJIDH+7uzPKuXtm2J4YuVhhoZ44eVky6bkAp4YE4a/hwOf/56JnbWGG3t1olpn4MPfjjJ/WwbuDjZ8eVdflu3NZs2hPG4bEMDezGIyi2qYMyKEDzcfxdvZDoPJxMkKHUZL1vJwsKaoqp4nxoQxa1hQw2V4RmEVMxbuJa+8jg9v6c3YSNXdXVGUy6OiTs8nm9P5YnsmRpPk/quDeeDqkIaWn0ul1SYuACnlz8DPLR1HYwezSnlrYxrjovwYH9WRafN2UltvNN9fEhDh68K+46XMGNyVb/ZlY6URvHRjT6Z/vocQbydmWK52qnUG6vQmXv45mR/jT1Bao2dy787cf3UwT6w8zO7MEu67Opi1h/PJL6/jXyO68f6vR+nkZk9FrZ7yWj0GS9JytbOiss7A+9N6nTZn1870Yu79ej9ajWDJ3QPoE+De1K+kKIpyUXQGI1/vyuKDX49QWqPnhpiO/Pe67vh7NF227mK16sTV2ugMRh5bcQgfZ1temRTJop3H2HOsFDAnLWdbKwqrdIT6OBHi48wX24/x0o09+S3lJFklNSya0Q9rrbkj54TojhzOLWfZ3mwGBXsyZ0QIHo42zFi4l6ySGp4YE8bCHceo0hmYPTyYdzcdIcDTgYKKOuoMpoak5WijxSgli2b2Z2CwZ0Osy/dm8dT3CQR4OrDgzn508bw8f0CKorRfJpPkx0MneGNDKtkltQzp5sXjY8Lo2emvd3H/K1Ti+gve2pBGWkEVX9wZS1GljlfXpjSskxJ6dnJlZ0Yxr02JYs6yOPp2dWdSr04Me30zA4I8GNpo1uBhoR0Y1miqkB3pRdz44XYk8NyEHry5IRWtRjBjcFfe2ZRGsLcTx4uqkYDBKBGAtVbgam/Nwhn9Grq7m0ySuetT+HRLBkNDvPjglt642qtCuYqiXFq/Hyni1XXJJORWEO7nwqIZkad9pl1OKnFdoP3HS5m/LYNp/fwZ0q0DEz/6vWGmTiGgb4A7O9KLuXtoIOsTzbUD/zcxkhUHciiq0vHBLb2a7P4ppeTz3zN5ZW0KgV6OzBoWxPOrE/F0smFcpB/v/nKUcD9nUvMr0QiBwSTRasBkglBfZ764oy/eLuZxWLX1Rv79TRxrE/K5bUAXnp/QAyttax6qpyhKW5N4opxX16aw7UgRndzsefvmaG6I7tSsvZRV4roA1ToDj3wbj5+rPU+ODeeTLekknqgEzD0IHWy05FfoCPB0YGykH5M+3sGdg7oS6uPMnGVxRHV2pX/g2eWUymrqeXzFYdYl5jOqhw9DQzrw5MrDhPg40SfAnU+2ZNCjowuJJyrQasxJy0YrqDdKRob78O7UmIb5ugoq6rh70T4O55bz9LhwZg4JVIVyFUW5ZLJLanhzQyo/xJ3AzcFcNGH6wADsrJt/LKhKXBfgfz8nk1lczdK7B5BVUsO7m/6ojmGSMDDYi41JBSya0Y83NqTiZm/NQyNCOV5cTXJeBc+Ojzgriew4WsR/vo2nsFLHk2PDqKzV8/QP5jm0vJxs+XpXFpGdXDmcW45GmAcP21qZK73PHBLIk2PDG7q7x2WXcfeifVTrDMyfHsvIiEvX7VRRlPatpLqeD349yte7jiMEzB4ezL1XBbfoLQiVuP7EroxiluzO4u6hgfTt6sGkj7Y3rNMKQf9AD7akFTKxVyesNILtR4t5dnwErg7W7MwoBiC26x+9+U5W1PHmhjSW78sm0MuRZbMGsGjncVbHn2Bir04UVulYHX+CqE6uHMotB8zJ0dZKYDCaeGVS5GkzFi/fm8UzqxLxcbHl65mD6e7r3ExnRlGUK1ltvZEvtmfyyeZ0qusN/KOPPw9fG4qva8uXiFOJ6zxq6g088l08XT0deGhkKAu2ZxKfY04mGgE2Vho0GoGVRvDY6DAeWHKAjq523NLfnFh0BiMAx4trsNZqWLE/h8W7s9AbTdxzVRBT+/rz0PJ4DuWUcd/wYLaknSQlv4oIP+eGpAVgrTFPQvnxXbENPQd1BiP/tyaJr3dlMaSbF+9N69VQ2klRFOXvklLy/cFc5q5LoaBCx8hwHx4b3Z0Qn9bzT7FKXOfxzqYjZJfU8s09AymoqGPuuhQ0wnwFZJJwfYwfy/fm8PiYMLJLa9h3vJQXru/R0OY7qocv4X4u/GvpQQCsNIKxkX78+9pQCirq+Mcn5jFgz4yLYP62DMpq9AR4OpCUV9kQg8A8AeWCu/rR1ctckDK3rJbZX+/nUE4591wVxCPXdVedMBRFuWhJJyp4dlUC+46XEu3vxge39KZv19Y33ZFKXOewJ7PE0ouwC327unPrZ7swmSQmae6G7u9uT3x2OQGeDswYHMi/v4nDxc6Km2L/KK9oZ63l5weH8PWu49jbWHFVaAc8HW2Yvy2D19anEuDhwJwRIby6NgV7Gy1uDtZkFlWfFkffQA/mTe+Dm4P5ampHehH/WnKQeoOJedP7cF0P32Y9L4qiXHnKa/W8tSGVr3Ydx83BhtcmmwvhttZ6pipxNUFnMPLod/H4uzvw1LhwVhzIZUd6ScN6vVEyuqcfH21O592pMdTqjaxPzOe2AQFnlTYRQjB9YFfAXDNwxpd72ZxayJievkR2cuXZ1YkEejpSVKWjpLq+YfJJk4QbYzoyd0oUtlZapJTM35bBq5Zu8/NujyVYzaGlKMpF+vlwHs/8kEBpTT23DQjgP9d2x9WhdY/9VImrCR/+epRjxeZKFwCvrk3GyjKjsJVGMCLcmzWH8ojwc2FCVEd+OpyH3igZf55p7zcmFfD4ikNU6gw8NyGC1PxKXlufSlQnVxJPlGPCPIhZqwGjCR4aGcKcESEIISiv0fOfb80V48dG+vL6lOiGbvCKoih/R3mNnudWJ/BD3AmiOruyaGa/vzWpY0tQn35nSCuo5KPN6eaKF6EdeH51IkVV9YD5HhVA364erE8sYN70Pmg0gsO55dhYaYjxP7sWYGGljpd+SmJV3Al6dHThg3ERvLMpjd2ZJfTu4saBrDIE5mryVhrzFdpbU6O5IcY8Z+beYyU8tCyOk5V1PDchgjsHdVXjsxRFuShb0wp59LtDFFXpeHhkKPddHdxQjq4tUImrEZNJ8swPCTjZWfHUuHAST5SzcMexhqY7o0ly56CurDiQSzdvJ0aGm8dLFVTU4eFg0zCuCqBKZ2Dh9kw+3pyO3iiZMyKEISFePLDkAGU1enp2cuFAVhlgTloawNXBhvm3x9K7izsmk+STrem8sT6Vzu4OfHvvIGL83Zr9nCiKcuUwGE3MXZfC/G2ZdPN2Yv7tsUR2bhtXWY2pxNXI4j1Z7M4s4dVJkXg42jBnWRzWGtCbzNUxAAaHeLFgxzHmTo5suHEZ3dmNVXEn+GxbBsEdnNh6pJAV+3OoqDNwXYS5K+nmtCJumb8LT0db/FztSMitOO3YER1d+OyOvvi62lFWU89/v41nU/JJxkX5MXdyFE6qaVBRlItQXKXj/iUH2JVRwu0DA3hybHiLVL24FNSnoUVpdT2vr0thSDcvbu7rz4akAn4/WtSwvrbeyD1XBbM+IR8nWyuuj+7UsG58lB+Ldh7jpZ+SAfP4rmu6e3PPVUEEejnyyHeH2JhUQN+u7qQVVHKy0nDasSf17sTLEyOxs9ZyIKuUfy05qJoGFUW5ZDKLqrlzwR7yy+t466ZoJjWadb0tUonL4vUNqVTpDDwzPgKjSfLq2hQcbTTU1JtwtrNCb5TcNbgrI9/awqgevqf1HvR2sWPtnGGk5FdQpzcR4++GvY2W7UeLGPXOVkqq6xnVw4cNiQUIS7PjqebHx0aHce9VQUgJH20+ypsb0vB1sVNNg4qiXBJJJyq47fPdACydNYDeXdr+vHwqcQEHskpZsjuLmUMC6e7rzNI9WaeNp6qpNzKtXxfyyuuorDMwvPvZpfvtbbT0svxBVOkMPLcqgUW7jtPV05HuPs6sTywAzD0HrQRYaTW8M7UXo3v6crKijoe/iWP70WLGRfrxyuRIXOxad3dURVFav6QTFdzy2S7srbUsuXsAgZYiBm1du09cUkr+b00SPi62PHxtKHV6I29vTMPFzopqnQE3B2uKq/XcPjCAXZnmsVznm0l4Y1IBz69O5ER5LddHdyQuu4xtR/5ochRABxc75t8eS89Oruw9VsJ9iw9QVWdg7uRIbor1V02DiqJctJzSGu5YsAd7ay3LZg0gwPPKSFqgEhff7c/hYFYZr1k6QHzxeyYnK3UN6zUaDf26ehDi48yGJPNVU1M1ARNyy3n552R2pBcT6uPEjMFd+WpnFkYpkY226xPgxqfTY/FwtOGTLem8vj6VLh4OfD2zvyqQqyjKJVFTb2DGwr3o9EYWzx50RSUtaOeJq7beyBsbUonxd2NKn87UG0x8/nsm3s62FFbqcLazorBSx5wRIQB0dDNXRd6TWcKw0A7U6Y1sTj3J0j3ZbEkrxN3Bmv9cF0p8dhmf/36sYTDxqftZMwYH8sTYMCrrDNy9aF/DgOJXJ0eppkFFUS6Zp75P4MjJKr6a0b9hdvQrSbtOXF/uPEZBhY73pvZCoxGs3JdNblktVhpAQISfC7syS7gmzBuAEeE++LjYcseCPUhLzUK9UeLlZMt/rwulo5sdL/2UQnmNHvgjadlaaXhtSjQTojuy91gJDy49SHFVPc+Oj+CuwarXoKIol87aw3l8fzCXh0aax45eidpt4jpZWccHvx7l6u4d6B/kiZSSL7Zn4utiR35FHWDu1u7rYkdHN3sAXOysWf3AEL7bn0OVzoCUMKSbF/6e9ry0Jpk3NqRho9VglH80DgZ4OvDZHX0J8nLkw9+O8tbGNPzd7Vl53yB6dmp7A/8URWm9qnQGnl2dSI+OLtx/dbeWDueyabeJa96WDGr1Rp4ZHwGYexamFVTRrYMjTrZaHG3NXeD9PexPe56Pi13DH0RtvZEFOzKZ9dU+9EYTQkC90dTQRDiqhw+v/yMagNlfH2BdYj7jo/x4ZVIkzqppUFGUS2zelnQKK3XMm96nTZVw+qvaZeIqqtKxeHcW10d3JMhSYX3pnmzsrTVkFtdgb62lb1cPymr0FFTUYzTJ08o51emNLN+bzceb08mvqMPZ1ooao/kqy1ojMEnJE2PCmDUsiNSCSu75aj85pbU8PS6cmUMCVdOgoiiXXEWdngXbjzE20rdhaM6Vql0mrvd/OUK90cQD15ivnOr0RtYl5NO7izvb04uprjcQ6OVIcAcnHloexzOrEvhHn87kldex7UgRaw6doLLOgI+zLQLz5fmpQrneLrZ8fFsfIju58vXuLF5ak4SrvTXLZw0gthVOyKYoypXhu305VOoMzL7qym0iPKXdJa6iKh1L92RzU2znhvmsdqYXU6Uz4Of6R7OgEIIbYjqyLiGfJbuzWLI7CwB7ay3dvJ3ILKyiwNJt3s5aQ53exJQ+nXluQgQSeGDpQX46lMdVoR144x/RdHC2bfbfVVGU9mNVXC49Orq0yaK5f1W7S1yLd2VRbzTxz6FBDct2pBdhY6XB3kaLk60V3i62rE/I54Gru/HRrb3JKKriYFYZe4+Vsikpn8O55QhAKwAhsBKCD27pxfiojiSdqODer/eTW1bLo6O7c++w4FY7i6iiKFcGncFEfE45T40Nb+lQmkW7Slw19QYW7sjkmjDv02YPTsqrINzPBW9nW6p0Bub0DeGVtckMnvsr4X4u5JTUkGEpAWVjueHpam9NWa2eq0O9eGVSFD4utizfm8VzqxNxs7fhm3sG0CdANQ0qinL5VdTqEcD46HNPZnslaVeJa+WBXEpr9Nw3PPi05dkltcT4uxFlKWq77WgR70yN4bt9OWSX1KA3mrDVatAZTXg52ZBXXodWI3j75mhujOlElc7Af76JZ+XBXAYFe/Lu1F6qaVBRlGZTXW8gqoPjabc7rmQtlriEEK8DE4B6IB24S0pZJoToCiQDqZZNd0kp770Ux1y+N5twP5ezag2e6uQ3LMSLx0aHMXddClvTChvW21hpCPVxIrO4mhPldUzr14XHR4fh6mDN/uOlPLj0IHnltTw0MoQHrwlRTYOKojSrGp2Rvu2ohaclr7g2Ak9IKQ1CiLnAE8BjlnXpUsqYS3mw9MIqDueW8/S48LO6o4f7urAlrZDqeiOzhwdzbYQ3G5IK0BtMZBZX8/uRIhJOVHBVaAceGx1GREcXjCbZMKC4o5t5GpLzFd9VFEW5XIxS0jvAraXDaDYtlriklBsa/bgLmHI5j/fd/hy0GsH10R3PWnfv8GDWJeYz+NVfmdrXn1q9kUM55cRllyEEDAvpwP1Xd6NfoPk/moKKOh5cepDdmSWMswwoVrUGFUVpSd28nf58oytEa7nHNQNY3ujnQCHEQaACeFpKue1idi6lZF1CPoOCPfF2sTtrfYy/G+9OjWHlgVwWbD+GrZWGbj5OPDKqOxOiOtLF06FhPysO5PLCj4kYjJI3/xHNpN6d1IBiRVFaXKCXSlyXhBBiE+DbxKqnpJSrLNs8BRiAxZZ1eUAXKWWxEKIP8IMQooeUsqKJ/c8CZgF06dLlnHHkltWSWVTN7QMDzrnNDTGduCGmE0aTRCM4KxmdrKjjqR8S2JhUQL+uHsydEnXFTMqmKErb0/jzz9a3G+4O7afV57ImLinlyPOtF0LcCYwHRkhprkwrpdQBOsvj/UKIdCAU2NfE/ucB8wBiY2PlmetP2X+8FIC+F1C5QntGxwopJd8fzOW5VYnUG008OTaMmUOCztpOURSlOTX+/HPu3F22p5afluxVOBp4FLhKSlnTaHkHoERKaRRCBAEhQMbFHCu9sBqNgBCfv3YpfaSgkmdXJbIzo5i+Xd15bUq0uspSFKXVaW//SLfkPa4PAFtgo+U/hVPd3ocBLwoh9IAJuFdKWXIxByqsrMPD0RZbK+0FbV9Zp+fD39L5/PcMHG2teOH6Htw2IKDd/XEoitI2WGnb12dTS/YqbLISpJRyBbDi0h5NIOU5WxIb1OmNLN2TxTubjlBeq2dKn848MSYMTyc1mFhRlNbLSnPlTmHSlNbSq/CyCvN1ZumeLI4UVBLSxDTWpdX1LN2bxaIdx8mvqGNIN/NA5PZQrFJRlLbP1b79dMyAdpK4xvT05aWfkrhzwV7emxZDiI8zpdX1xGWXsSn5JBsS89EZTAwM8uStm6IZGOypurgritJmONu1i4/yBu3it/V2sePdqb14ZW0ykz/eedo6dwdrbor157YBAXT3PftqTFEURWld2kXiAhgb6cegYE+2HSkir7wWN3sbIjq6EObrjNUVPMW1oijKlabdJC4ANwcbJjRR8klRFEVpO9SlhqIoitKmqMSlKIqitCkqcSmKoihtikpciqIoSpuiEpeiKIrSpqjEpSiKorQp4kJq+LUFQohC4PjffLoXUHQJw7lYrSkeFcu5taZ4VCzn1pri+SuxFEkpR1/IhkKIdRe67ZXgiklcF0MIsU9KGdvScZzSmuJRsZxba4pHxXJurSme1hRLW6aaChVFUZQ2RSUuRVEUpU1RictsXksHcIbWFI+K5dxaUzwqlnNrTfG0pljaLHWPS1EURWlT1BWXoiiK0qaoxKUoiqK0Ke06cQkhXhdCpAghDgkhvhdCuFmWdxVC1Aoh4ixfnzRTPKOFEKlCiKNCiMeb45iNju0vhPhNCJEkhEgUQsyxLH9eCJHb6FyMbcaYjgkhDluOu8+yzEMIsVEIccTy3b0Z4uje6PePE0JUCCEeas5zI4T4QghxUgiR0GhZk+dCmL1n+Ts6JITo3QyxtMh76RyxnPN1EUI8YTkvqUKIUZcylvPEs7xRLMeEEHGW5S3yOXNFkFK22y/gOsDK8nguMNfyuCuQ0MyxaIF0IAiwAeKBiGY8vh/Q2/LYGUgDIoDngf+20OtzDPA6Y9lrwOOWx4+fes2a+XXKBwKa89wAw4Dejf8uz3UugLHAWkAAA4DdzRBLi7yXzhFLk6+L5e85HrAFAi3vN+3ljueM9W8CzzbHubmSv9r1FZeUcoOU0mD5cRfQuQXD6QcclVJmSCnrgWXADc11cCllnpTygOVxJZAMdGqu4/8FNwBfWh5/CdzYzMcfAaRLKf9ulZa/RUq5FSg5Y/G5zsUNwCJptgtwE0L4Xc5YWuq9dI7zci43AMuklDopZSZwFPP7rlniEUII4CZg6aU8ZnvUrhPXGWZg/i/1lEAhxEEhxBYhxNBmOH4nILvRzzm0UOIQQnQFegG7LYsesDQBfdEcTXONSGCDEGK/EGKWZZmPlDLP8jgf8GnGeACmcvoHT0udGzj3uWjpv6WWfi9B069LS5+XoUCBlPJIo2UtcW7avCs+cQkhNgkhEpr4uqHRNk8BBmCxZVEe0EVK2Qv4N7BECOHS/NE3PyGEE7ACeEhKWQF8DAQDMZjPy5vNGM4QKWVvYAxwvxBiWOOV0tze0mzjOYQQNsD1wLeWRS15bk7T3OfiXFrJe6nVvC5nmMbp//S028+Zi2XV0gFcblLKkedbL4S4ExgPjLC8+ZFS6gCd5fF+IUQ6EArsu4yh5gL+jX7ubFnWbIQQ1piT1mIp5UoAKWVBo/XzgTXNFY+UMtfy/aQQ4nvMzToFQgg/KWWepfnrZHPFgzmBHjh1Tlry3Fic61y0yN9Sa3kvned1abH3mBDCCpgE9Dm1rIU+Z64IV/wV1/kIIUYDjwLXSylrGi3vIITQWh4HASFAxmUOZy8QIoQItPxnPxVYfZmP2cDS/v45kCylfKvR8sb3RiYCCWc+9zLF4yiEcD71GPPN/wTM5+QOy2Z3AKuaIx6L0/5jbqlz08i5zsVq4HZL78IBQHmjJsXLojW9l87zuqwGpgohbIUQgZZY9lzOWBoZCaRIKXMaxdkSnzNXhpbuHdKSX5hvzmYDcZavTyzLJwOJlmUHgAnNFM9YzL350oGnmvlcDMHc1HSo0fkYC3wFHLYsXw34NVM8QZh7gMVbXounLMs9gV+AI8AmwKOZ4nEEigHXRsua7dxgTph5gB7zvZmZ5zoXmHsTfmj5OzoMxDZDLC3yXjpHLOd8XYCnLOclFRjTHK+TZflC4N4ztm2Rz5kr4UuVfFIURVHalHbdVKgoiqK0PSpxKYqiKG2KSlyKoihKm6ISl6IoitKmqMSlKIqitCkqcSmKoihtikpcyhVBCHGjECKi0c8vCiFGWh4fE0J4XYJjPPk3n/dZ49jOsc1mIUTs34tMUdoXlbiUK8WNmKetAEBK+ayUctMlPsZfTlxCCK2U8p9SyqRLHIuitFsqcSmtlhDiB0tl+MRT1eGFEFVCiP8JIeKFELuEED5CiEGYi9++bpmQL1gIsVAIMaXR7h4V5kkp9wghuln2NUEIsdtSnXuTEMLHstxJCLHAsv0hIcRkIcSrgL1l/4st291m2V+cEOLTRuV7qoQQbwoh4oGBja+mhBAfCyH2WX6nF/7CuZhmiSdBCDHXskxr+T0TLOsevuiTrihtgEpcSms2Q0rZB4gFHhRCeGIuvbRLShkNbAXullLuwFza5xEpZYyUMr2JfZVLKSOBD4B3LMt+BwZIc3XuZZhr7QE8c2p7KWUU8KuU8nGg1rL/W4UQ4cDNwGApZQxgBG61PN8R8+SN0VLK38+I4ykpZSwQBVwlhIj6s5MghOiIeXLGazBXPO8rhLjR8riTlLKn5Xdb8Gf7UpQrwRVfHV5p0x4UQky0PPbHXIS0nj+qfe8Hrr3AfS1t9P1ty+POwHJLUVYbINOyfCTmIscASClLm9jfCMyVvvea6xNjzx/V2Y2Yq+w35SbL1aMV5lmnIzDX1DufvsBmKWUhgOWKbxjwf0CQEOJ94Cdgw5/sR1GuCOqKS2mVhBDDMSeQgZarq4OAHaCXfxTYNHLh/3zJJh6/D3xguVq5x7L/Cw4R+NJyBRYjpewupXzesq5OSmk86wnmiuT/xTztRxTmZPNXjnkaS0KNBjYD9wKf/d19KUpbohKX0lq5AqVSyhohRBgw4E+2rwScz7P+5kbfdzY6xqn5mO5otO1G4P5TP4g/ZtDVW+YsA3NV9ilCCG/LNh5CiIA/idEFqAbKLffTxvzJ9qfswdys6GW5jzYN2GLpKamRUq4AngZ6X+D+FKVNU4lLaa3WAVZCiGTgVWDXn2y/DHjE0tEiuIn17kKIQ8Ac4FQnhueBb4UQ+4GiRtu+ZNk+wdLB4mrL8nnAISHEYksvwaeBDZb9bsTc9HdOUsp4zFeOKcASYPuf/E6nnpcHPA78hnmal/1SylWYp53fLISIA74GnriQ/SlKW6emNVEURVHaFHXFpSiKorQpqlehorQiQojdgO0Zi6dLKQ+3RDyK0hqppkJFURSlTVFNhYqiKEqbohKXoiiK0qaoxKUoiqK0KSpxKYqiKG3K/wPQX+jjigM/SQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 432x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(data=data, x=\"antibacterial_os\", y=\"antibacterial_brit\", kind=\"kde\")\n",
    "#plt.xlim(left=0)\n",
    "plt.savefig(r'output/antiobiotics_joint.png')\n",
    "plt.show()\n",
    "#a.set(ylim=(0, None))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "ac8e8639e9615e97b7fe3d790a868e08541a6ba7cfac12bd2d9295b9f6ec29b2"
  },
  "kernelspec": {
   "display_name": "Python 3.8.8 64-bit ('base': conda)",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}