PubmedCitations.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9e25fb10",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "import seaborn as sns\n",
    "import matplotlib.ticker as tick\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as mpatches\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "53e93b2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "bioimg = pandas.read_csv('PubMed_Timeline_Results_by_Year_bioimaging.csv',header=1,\n",
    "                         index_col='Year',dtype={'Count':'int'},thousands=',')\n",
    "bioimg.rename(columns={'Count':'bioimaging_count'},inplace=True)\n",
    "bioimg_a = pandas.read_csv('PubMed_Timeline_Results_by_Year_bioimage_analysis.csv',header=1,\n",
    "                           index_col='Year',dtype={'Count':'int'},thousands=',')\n",
    "bioimg_a.rename(columns={'Count':'bioimage_analysis_count'},inplace=True)\n",
    "merged = pandas.concat([bioimg,bioimg_a],axis=1).fillna(0)\n",
    "merged.drop([2023,1986,1988,1990],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ae62c0a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "total_citations = pandas.read_csv('medline_citation_counts_by_year.csv',usecols=['Year of Publication','Total # Citations']).set_index('Year of Publication')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "25a65746",
   "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>bioimaging_count</th>\n",
       "      <th>bioimage_analysis_count</th>\n",
       "      <th>Total # Citations</th>\n",
       "      <th>bioimaging_norm</th>\n",
       "      <th>bioimage_analysis_norm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2022</th>\n",
       "      <td>2587</td>\n",
       "      <td>64</td>\n",
       "      <td>981270</td>\n",
       "      <td>0.002636</td>\n",
       "      <td>0.000065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>2689</td>\n",
       "      <td>70</td>\n",
       "      <td>1063140</td>\n",
       "      <td>0.002529</td>\n",
       "      <td>0.000066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020</th>\n",
       "      <td>2292</td>\n",
       "      <td>58</td>\n",
       "      <td>993289</td>\n",
       "      <td>0.002307</td>\n",
       "      <td>0.000058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <td>2040</td>\n",
       "      <td>50</td>\n",
       "      <td>903225</td>\n",
       "      <td>0.002259</td>\n",
       "      <td>0.000055</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <td>1808</td>\n",
       "      <td>35</td>\n",
       "      <td>866938</td>\n",
       "      <td>0.002086</td>\n",
       "      <td>0.000040</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      bioimaging_count  bioimage_analysis_count  Total # Citations  \\\n",
       "2022              2587                       64             981270   \n",
       "2021              2689                       70            1063140   \n",
       "2020              2292                       58             993289   \n",
       "2019              2040                       50             903225   \n",
       "2018              1808                       35             866938   \n",
       "\n",
       "      bioimaging_norm  bioimage_analysis_norm  \n",
       "2022         0.002636                0.000065  \n",
       "2021         0.002529                0.000066  \n",
       "2020         0.002307                0.000058  \n",
       "2019         0.002259                0.000055  \n",
       "2018         0.002086                0.000040  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged = pandas.concat([merged,total_citations], axis=1).astype('int')\n",
    "merged['bioimaging_norm'] = merged['bioimaging_count']/merged['Total # Citations']\n",
    "merged['bioimage_analysis_norm'] = merged['bioimage_analysis_count']/merged['Total # Citations']\n",
    "merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4bf3c8df",
   "metadata": {},
   "outputs": [],
   "source": [
    "bioimg = pandas.read_csv('PubMed_Timeline_Results_by_Year_bioimaging.csv',header=1,\n",
    "                         index_col='Year',dtype={'Count':'int'},thousands=',')\n",
    "bioimg.rename(columns={'Count':'bioimaging_count'},inplace=True)\n",
    "bioimg = pandas.concat([bioimg,total_citations], axis=1).fillna(0)\n",
    "bioimg['bioimaging_norm'] = bioimg['bioimaging_count']/bioimg['Total # Citations']\n",
    "bioimg = bioimg.drop([2023,1988,1990]).reset_index().rename(columns={'index':'Year'})\n",
    "\n",
    "bioimg_a = pandas.read_csv('PubMed_Timeline_Results_by_Year_bioimage_analysis.csv',header=1,\n",
    "                           index_col='Year',dtype={'Count':'int'},thousands=',')\n",
    "bioimg_a.rename(columns={'Count':'bioimage_analysis_count'},inplace=True)\n",
    "bioimg_a = pandas.concat([bioimg_a,total_citations], axis=1).fillna(0)\n",
    "bioimg_a['bioimage_analysis_norm'] = bioimg_a['bioimage_analysis_count']/bioimg_a['Total # Citations']\n",
    "bioimg_a = bioimg_a.drop([2023,1988,1986]).reset_index().rename(columns={'index':'Year'})"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3dcecb9f",
   "metadata": {},
   "source": [
    "## Plots with overlays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "20b37925",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1 = sns.barplot(data=bioimg, x='Year',y='bioimaging_count', color = 'blue', alpha = .4)\n",
    "labels = ax1.get_xticklabels()\n",
    "ax1.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax1.set_ylabel('Citations')\n",
    "ax1.set_title('bioimaging')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2 = sns.barplot(data=bioimg, x='Year',y='bioimaging_norm', color = 'red',alpha = .4)\n",
    "ax2.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax2.set_ylabel('Citations/All PubMed Citations')\n",
    "\n",
    "blue_patch = mpatches.Patch(color='blue', alpha = .4, label='Citations')\n",
    "red_patch = mpatches.Patch(color='red',  alpha = .4, label='Citations/All PubMed Citations')\n",
    "plt.legend(handles=[blue_patch,red_patch])\n",
    "\n",
    "plt.savefig('bioimaging_citations.svg',bbox_inches='tight')\n",
    "plt.savefig('bioimaging_citations.png',bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "303675be",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1 = sns.barplot(data=bioimg_a, x='Year',y='bioimage_analysis_count', color = 'blue', alpha = .4)\n",
    "ax1.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax1.set_ylabel('Citations')\n",
    "ax1.set_title('bioimage analysis')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2 = sns.barplot(data=bioimg_a, x='Year',y='bioimage_analysis_norm', color = 'red',alpha = .4)\n",
    "ax2.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax2.set_ylabel('Citations/All PubMed Citations')\n",
    "\n",
    "blue_patch = mpatches.Patch(color='blue', alpha = .4, label='Citations')\n",
    "red_patch = mpatches.Patch(color='red',  alpha = .4, label='Citations/All PubMed Citations')\n",
    "plt.legend(handles=[blue_patch,red_patch])\n",
    "\n",
    "plt.savefig('bioimage_analysis_citations.svg',bbox_inches='tight')\n",
    "plt.savefig('bioimage_analysis_citations.png',bbox_inches='tight')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "65c6129f",
   "metadata": {},
   "source": [
    "## Side-by-side plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1117a37e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/hl/5b1z8zzj1710zl1_g94wkycc0000gp/T/ipykernel_76787/1335179882.py:18: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax2.set_yticklabels(np.round(ax1.get_yticks()/scale*1000,2))\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bioimg.drop(columns=[\"Total # Citations\"], inplace=True)\n",
    "bioimg_melt = pandas.melt(bioimg, id_vars=['Year'])\n",
    "\n",
    "scale = 1000000\n",
    "mask = bioimg_melt['variable'].isin(['bioimaging_norm'])\n",
    "bioimg_melt.loc[mask, 'value'] = bioimg_melt.loc[mask, 'value']*scale\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1 = sns.barplot(data=bioimg_melt, x='Year',y='value',hue='variable')\n",
    "labels = ax1.get_xticklabels()\n",
    "ax1.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax1.set_ylabel('Citations')\n",
    "ax1.set_title('bioimaging')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.set_ylim(ax1.get_ylim())\n",
    "ax2.set_yticklabels(np.round(ax1.get_yticks()/scale*1000,2))\n",
    "ax2.set_ylabel('Citations/All PubMed Citations')\n",
    "\n",
    "plt.text(.945, 1.026, '1e-3',transform=ax1.transAxes)\n",
    "\n",
    "hands, labs = ax1.get_legend_handles_labels()\n",
    "ax1.legend(title='',loc='upper left', handles=hands, labels=['Citations', 'Citations/All PubMed Citations'])\n",
    "\n",
    "plt.savefig('bioimaging_citations_sidebyside.svg',bbox_inches='tight')\n",
    "plt.savefig('bioimaging_citations_sidebyside.png',bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b8f0101f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/hl/5b1z8zzj1710zl1_g94wkycc0000gp/T/ipykernel_76787/3591063320.py:17: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
      "  ax2.set_yticklabels(np.round(ax1.get_yticks()/scale*100000,2))\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "bioimg_a.drop(columns=[\"Total # Citations\"], inplace=True)\n",
    "bioimg_a_melt = pandas.melt(bioimg_a, id_vars=['Year'])\n",
    "mask = bioimg_a_melt['variable'].isin(['bioimage_analysis_norm'])\n",
    "scale = 1000000\n",
    "bioimg_a_melt.loc[mask, 'value'] = bioimg_a_melt.loc[mask, 'value']*scale\n",
    "\n",
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1 = sns.barplot(data=bioimg_a_melt, x='Year',y='value',hue='variable')\n",
    "labels = ax1.get_xticklabels()\n",
    "ax1.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax1.set_ylabel('Citations')\n",
    "ax1.set_title('bioimage analysis')\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "ax2.set_ylim(ax1.get_ylim())\n",
    "ax2.set_yticklabels(np.round(ax1.get_yticks()/scale*100000,2))\n",
    "ax2.set_ylabel('Citations/All PubMed Citations')\n",
    "\n",
    "plt.text(.945, 1.026, '1e-5',transform=ax1.transAxes)\n",
    "\n",
    "hands, labs = ax1.get_legend_handles_labels()\n",
    "ax1.legend(title='',loc='upper left', handles=hands, labels=['Citations', 'Citations/All PubMed Citations'])\n",
    "\n",
    "plt.savefig('bioimage_analysis_citations_sidebyside.svg',bbox_inches='tight')\n",
    "plt.savefig('bioimage_analysis_citations_sidebyside.png',bbox_inches='tight')"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "15b535fa",
   "metadata": {},
   "source": [
    "## Side-by-side, split by type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "3230b8d0",
   "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>Year</th>\n",
       "      <th>count</th>\n",
       "      <th>norm</th>\n",
       "      <th>query</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022</td>\n",
       "      <td>2587.0</td>\n",
       "      <td>0.002636</td>\n",
       "      <td>bioimaging</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2021</td>\n",
       "      <td>2689.0</td>\n",
       "      <td>0.002529</td>\n",
       "      <td>bioimaging</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>2292.0</td>\n",
       "      <td>0.002307</td>\n",
       "      <td>bioimaging</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019</td>\n",
       "      <td>2040.0</td>\n",
       "      <td>0.002259</td>\n",
       "      <td>bioimaging</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>1808.0</td>\n",
       "      <td>0.002086</td>\n",
       "      <td>bioimaging</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1994</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>bioimage analysis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1993</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>bioimage analysis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1992</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000003</td>\n",
       "      <td>bioimage analysis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2003</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>bioimage analysis</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1997</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>bioimage analysis</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>62 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year   count      norm              query\n",
       "0   2022  2587.0  0.002636         bioimaging\n",
       "1   2021  2689.0  0.002529         bioimaging\n",
       "2   2020  2292.0  0.002307         bioimaging\n",
       "3   2019  2040.0  0.002259         bioimaging\n",
       "4   2018  1808.0  0.002086         bioimaging\n",
       "..   ...     ...       ...                ...\n",
       "26  1994     3.0  0.000007  bioimage analysis\n",
       "27  1993     1.0  0.000003  bioimage analysis\n",
       "28  1992     1.0  0.000003  bioimage analysis\n",
       "29  2003     0.0  0.000000  bioimage analysis\n",
       "30  1997     0.0  0.000000  bioimage analysis\n",
       "\n",
       "[62 rows x 4 columns]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bioimg_a['query'] = 'bioimage analysis'\n",
    "bioimg['query'] = 'bioimaging'\n",
    "bioimg_a.columns = [x.replace('bioimage_analysis_','') for x in bioimg_a.columns]\n",
    "bioimg.columns = [x.replace('bioimaging_','') for x in bioimg.columns]\n",
    "merged = pandas.concat([bioimg, bioimg_a]).drop(columns=[\"Total # Citations\"])\n",
    "merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "2f1e6c1a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkQAAAHGCAYAAACVcJQUAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8o6BhiAAAACXBIWXMAAA9hAAAPYQGoP6dpAABG0UlEQVR4nO3deVxV5d7///dmEBVhMyhT4pSIKdqA5ZAnLQc0x/K+s+zGeSrFzKnMTDrH9JS3Q+mpr5o5l50yu+tUOGTaccABI8cccRYtQ5xB4fr94c992gKmyAZkvZ6Px3o82Ou61vpca7eCt2u0GWOMAAAALMytqAcAAABQ1AhEAADA8ghEAADA8ghEAADA8ghEAADA8ghEAADA8ghEAADA8ghEAADA8jyKegB3i+zsbB0/flw+Pj6y2WxFPRwAAHALjDE6d+6cwsLC5OaW93EgAtEtOn78uMLDw4t6GAAAIB+OHDmiihUr5tlOILpFPj4+kq59ob6+vkU8GgAAcCvOnj2r8PBwx9/xvBCIbtH102S+vr4EIgAA7jJ/drkLF1UDAADLIxABAADLIxABAADL4xqiAmSM0dWrV5WVlVXUQwH+lLu7uzw8PHiMBACIQFRgMjMzdeLECV28eLGohwLcsrJlyyo0NFSlSpUq6qEAQJEiEBWA7OxspaSkyN3dXWFhYSpVqhT/6kaxZoxRZmamfv31V6WkpCgiIuKmDywDgJKOQFQAMjMzlZ2drfDwcJUtW7aohwPckjJlysjT01OHDh1SZmamSpcuXdRDAoAiwz8JCxD/wsbdhn0WAK7htyEAALA8AhEAALA8AhEAALA8AhEAALA8AhFKlMzMzKIeAgDgLkQggstcuHBBXbt2Vbly5RQaGqqJEyeqadOmGjx4sKRrbx7+8ssvnZbx8/PTnDlzHJ+PHTumzp07y9/fX4GBgerQoYMOHjzoaO/evbs6duyo8ePHKywsTDVq1NBf//pX1alTJ8d4oqOj9cYbb7hgSwEAdzueQwSXGT58uH744QctWbJEISEheu2115SUlKQHHnjglpa/ePGiHn/8cf3lL3/Rjz/+KA8PD40dO1atWrXS1q1bHU9X/v777+Xr66vly5fLGCM/Pz+9+eab2rRpkx5++GFJ0tatW/XTTz/ps88+c9XmAgBuInr4vDzbkiZ0LcSR5I5ABJc4f/68Zs2apXnz5qlFixaSpLlz56pixYq3vI5FixbJzc1NH374oePJ37Nnz5afn59WrVqlli1bSpK8vb314YcfOr1+IiYmRrNnz3YEotmzZ6tJkyaqVq1aQW0iAKAE4ZQZXGL//v3KzMxUw4YNHfMCAgIUGRl5y+tISkrSvn375OPjo3LlyqlcuXIKCAjQ5cuXtX//fke/OnXq5HgXV58+ffTJJ5/o8uXLunLlihYuXKiePXve+YYBAEokjhDBJYwxf9rHZrPl6HflyhXHz9nZ2YqOjtbChQtzLFuhQgXHz97e3jna27VrJy8vLy1ZskReXl7KyMhQp06dbmcTAAAWQiCCS1SvXl2enp5KTExUpUqVJElpaWnas2ePmjRpIulaqDlx4oRjmb179+rixYuOzw899JA+/fRTBQUFydfX97bqe3h4qFu3bpo9e7a8vLz07LPP8p45AECeOGUGlyhXrpx69eql4cOH6/vvv9f27dvVvXt3p3dnPfHEE5o2bZq2bNmizZs3q3///vL09HS0P//88ypfvrw6dOigf//730pJSdHq1av10ksv6ejRo386ht69e2vlypX67rvvOF0GALgpjhDBZSZMmKDz58+rffv28vHx0dChQ5Wenu5onzhxonr06KHHHntMYWFhevfdd5WUlORoL1u2rH788Ue98sorevrpp3Xu3Dndc889atas2S0dMYqIiFCjRo10+vRp1a9f3yXbCAAoGQhEcJly5cpp/vz5mj9/vmPeN9984/g5LCxMS5cudVrmzJkzTp9DQkI0d+7cPGv88ZlFNzLG6OTJk+rXr9/tDRwAYDkEIpRIp06d0vz583Xs2DH16NGjqIcDACjmCEQokYKDg1W+fHnNmDFD/v7+RT0cAEAxRyBCoVq1alWh1LmV2/4BALiOu8wAAIDlEYgAAIDlEYgAAIDlcQ0RAAAo9qKHz8uzLWlC1zteP0eIAACA5RGILKxp06YaPHhwnu1VqlTRlClTbnl98fHxeuCBB+54XAWhe/fu6tixY1EPAwBwl+CUmQvd7PCeKxTEIcM/2rRpU65vks/LsGHDFBcXV6BjyK93332XW+8BALeMQIQ8VahQ4bb6lytXTuXKlXPRaG6P3W4v6iEAAO4inDKzuKtXr2rgwIHy8/NTYGCgXn/9dceRlRtPmR0+fFgdOnRQuXLl5Ovrq2eeeUYnT550tN94yuz6aatx48YpODhYfn5+evPNN3X16lUNHz5cAQEBqlixoj766COnMb3yyiuqUaOGypYtq2rVqmn06NG6cuWKU5+xY8cqKChIPj4+6t27t1599dVca1/XtGlTDRo0SCNGjFBAQIBCQkIUHx/vtM5ffvlFjRs3VunSpVWrVi2tWLFCNptNX375Zb6+WwDA3YNAZHFz586Vh4eHNmzYoPfee0+TJ0/Whx9+mKOfMUYdO3bU77//rtWrV2v58uXav3+/OnfufNP1r1y5UsePH9ePP/6oSZMmKT4+Xm3btpW/v782bNig/v37q3///jpy5IhjGR8fH82ZM0c7d+7Uu+++q5kzZ2ry5MmO9oULF+qtt97S22+/raSkJFWqVEkffPDBLW2rt7e3NmzYoHfeeUd//etftXz5cklSdna2OnbsqLJly2rDhg2aMWOGRo0adatfIwDgLlekgWj8+PF6+OGH5ePjo6CgIHXs2FG7d+926tO9e3fZbDanqUGDBk59MjIyFBcXp/Lly8vb21vt27fX0aNHnfqkpaUpNjZWdrtddrtdsbGxOd6sbkXh4eGaPHmyIiMj9fzzzysuLs4pfFy3YsUKbd26VR9//LGio6NVv359zZ8/X6tXr9amTZvyXH9AQIDee+89RUZGqmfPnoqMjNTFixf12muvKSIiQiNHjlSpUqW0du1axzKvv/66GjVqpCpVqqhdu3YaOnSo/vnPfzrap06dql69eqlHjx6qUaOG3njjDdWpU+dPt7Vu3boaM2aMIiIi1LVrV9WrV0/ff/+9JGnZsmXav3+/5s2bp/vvv1+NGzfWW2+9dTtfJQDgLlakgWj16tUaMGCAEhMTtXz5cl29elUtW7bUhQsXnPq1atVKJ06ccEzffvutU/vgwYO1ZMkSLVq0SGvWrNH58+fVtm1bZWVlOfp06dJFycnJSkhIUEJCgpKTkxUbG1so21mcNWjQQDabzfG5YcOG2rt3r9N3J0m7du1SeHi4wsPDHfNq1aolPz8/7dq1K8/1165dW25u/9nNgoODncKLu7u7AgMDderUKce8zz//XI0bN1ZISIjKlSun0aNH6/Dhw4723bt365FHHnGqc+Pn3NStW9fpc2hoqKPu7t27FR4erpCQkNtaJwCgZCjSi6oTEhKcPs+ePVtBQUFKSkrSY4895pjv5eXl9Ifqj9LT0zVr1izNnz9fzZs3lyQtWLBA4eHhWrFihWJiYrRr1y4lJCQoMTFR9evXlyTNnDlTDRs21O7duxUZGemiLSw5jDFOwenP5l/n6enp9Nlms+U6Lzs7W5KUmJioZ599Vm+++aZiYmJkt9u1aNEiTZw4MccyN47jz9ys7p9tBwCgZCtW1xClp6dLunaa5Y9WrVqloKAg1ahRQ3369HE6mpCUlKQrV66oZcuWjnlhYWGKiorSunXrJEnr16+X3W53hCHp2pERu93u6HOjjIwMnT171mkqiRITE3N8joiIkLu7u9P8WrVq6fDhw07X+uzcuVPp6em67777Cmw8a9euVeXKlTVq1CjVq1dPEREROnTokFOfyMhIbdy40Wne5s2b76huzZo1dfjwYaeLxG92KhAAULIUm0BkjNGQIUPUuHFjRUVFOea3bt1aCxcu1MqVKzVx4kRt2rRJTzzxhDIyMiRJqampKlWqlPz9/Z3WFxwcrNTUVEefoKCgHDWDgoIcfW40fvx4x/VGdrvd6VRRSXLkyBENGTJEu3fv1ieffKKpU6fqpZdeytGvefPmqlu3rp5//nlt2bJFGzduVNeuXdWkSRPVq1evwMZTvXp1HT58WIsWLdL+/fv13nvvacmSJU594uLiNGvWLM2dO1d79+7V2LFjtXXr1js6wtOiRQvde++96tatm7Zu3aq1a9c6LqrmyBEAlHzFJhANHDhQW7du1SeffOI0v3PnzmrTpo2ioqLUrl07fffdd9qzZ4+++eabm67vxlMgt3u6Z+TIkUpPT3dMfzwyUpJ07dpVly5d0iOPPKIBAwYoLi5Offv2zdHv+u3n/v7+euyxx9S8eXNVq1ZNn376aYGOp0OHDnr55Zc1cOBAPfDAA1q3bp1Gjx7t1Of555/XyJEjNWzYMD300ENKSUlR9+7dVbp06XzXdXd315dffqnz58/r4YcfVu/evfX6669L0h2tFwBwd7CZYvA437i4OH355Zf68ccfVbVq1T/tHxERod69e+uVV17RypUr1axZM/3+++9OR4nuv/9+dezYUW+++aY++ugjDRkyJMddZX5+fpo8ebJ69OjxpzXPnj0ru92u9PR0+fr6OrVdvnxZKSkpqlq1Kn88i0iLFi0UEhKi+fPnF9g6165dq8aNG2vfvn269957C2y9xQn7LoDCcqcvZ83v8jf7+/1HRXqEyBijgQMH6osvvtDKlStvKQydPn1aR44cUWhoqCQpOjpanp6ejufJSNKJEye0fft2NWrUSNK1O6fS09OdrjvZsGGD0tPTHX1w97h48aImTZqkHTt26JdfftGYMWO0YsUKdevW7Y7Wu2TJEi1fvlwHDx7UihUr1LdvXz366KMlNgwBAP6jSO8yGzBggD7++GP93//9n3x8fBzX89jtdpUpU0bnz59XfHy8OnXqpNDQUB08eFCvvfaaypcvr6eeesrRt1evXho6dKgCAwMVEBCgYcOGqU6dOo67zu677z61atVKffr00fTp0yVJffv2Vdu2bbnD7C5ks9n07bffauzYscrIyFBkZKQWL17s+O+dX+fOndOIESN05MgRlS9fXs2bN89xdxsAoGQq0kB0/enCTZs2dZo/e/Zsde/eXe7u7tq2bZvmzZunM2fOKDQ0VI8//rg+/fRT+fj4OPpPnjxZHh4eeuaZZ3Tp0iU1a9ZMc+bMcbpTauHChRo0aJDjbrT27dtr2rRprt9IFLgyZcpoxYoVBb7erl27qmvXgn1BLgDg7lCkgejPLl8qU6aMli5d+qfrKV26tKZOnaqpU6fm2ScgIEALFiy47TECAICSr9jcZQYAAFBUCEQAAMDyCEQAAMDyCEQAAMDyCEQAAMDyCEQW1rRpUw0ePPimfapUqaIpU6bc8jrj4+P1wAMP3NG4rOBWvvtbxXcOAHeuSG+7L+kO/7VOodar9Ma2Al/npk2b5O3tfcv9hw0bpri4uAIfB/LGdw4Ad45AhJuqUKHCbfUvV66cypUr56LRIDd85wBw5zhlZnFXr17VwIED5efnp8DAQL3++utOD8y88ZTZ4cOH1aFDB5UrV06+vr565plndPLkSUf7jadvunfvro4dO2rcuHEKDg6Wn5+f3nzzTV29elXDhw9XQECAKlasqI8++shpXK+88opq1KihsmXLqlq1aho9erSuXLni1Gfs2LEKCgqSj4+PevfurVdffTXHqaPZs2frvvvuU+nSpVWzZk29//77N/0+EhIS1LhxY8f30bZtW+3fv9/RfvDgQdlsNn3xxRd6/PHHVbZsWd1///1av369o8/p06f13HPPqWLFiipbtqzq1KmjTz75JM+af/3rX1WnTs6jidHR0XrjjTckSatWrdIjjzwib29v+fn56dFHH9WhQ4dy/c5v1hcAkDsCkcXNnTtXHh4e2rBhg9577z1NnjxZH374Ya59jTHq2LGjfv/9d61evVrLly/X/v371blz55vWWLlypY4fP64ff/xRkyZNUnx8vNq2bSt/f39t2LBB/fv3V//+/XXkyBHHMj4+PpozZ4527typd999VzNnztTkyZMd7QsXLtRbb72lt99+W0lJSapUqZLjVTDXzZw5U6NGjdJbb72lXbt2ady4cRo9erTmzp2b51gvXLigIUOGaNOmTfr+++/l5uamp556StnZ2U79Ro0apWHDhik5OVk1atTQc889p6tXr0q69gb56Oho/etf/9L27dvVt29fxcbGasOGDbnW7Nmzp3bu3KlNmzY55m3dulU//fSTunfvrqtXr6pjx45q0qSJtm7dqvXr16tv376y2Ww51nU7fQEA/8EpM4sLDw/X5MmTZbPZFBkZqW3btmny5Mnq06dPjr4rVqzQ1q1blZKSovDwcEnS/PnzVbt2bW3atEkPP/xwrjUCAgL03nvvyc3NTZGRkXrnnXd08eJFvfbaa5KkkSNH6u9//7vWrl2rZ599VpL0+uuvO5avUqWKhg4dqk8//VQjRoyQJE2dOlW9evVSjx49JElvvPGGli1bpvPnzzuW+9vf/qaJEyfq6aefliRVrVpVO3fu1PTp09WtW7dcx9qpUyenz7NmzVJQUJB27typqKgox/xhw4apTZs2kqQ333xTtWvX1r59+1SzZk3dc889GjZsmKNvXFycEhIS9Nlnn6l+/fo5alasWFExMTGaPXu24zucPXu2mjRpomrVqun3339Xenq62rZtq3vvvVfStRcW5+bs2bO33BcA8B8cIbK4Bg0aOB09aNiwofbu3ausrKwcfXft2qXw8HBHGJKkWrVqyc/PT7t27cqzRu3ateXm9p9dLTg42OkUkbu7uwIDA3Xq1CnHvM8//1yNGzdWSEiIypUrp9GjR+vw4cOO9t27d+uRRx5xqvPHz7/++quOHDmiXr16Oa6xKVeunMaOHet0CuxG+/fvV5cuXVStWjX5+vqqatWqkuRUW5Lq1q3r+Dk0NFSSHOPPysrSW2+9pbp16yowMFDlypXTsmXLcqzjj/r06aNPPvlEly9f1pUrV7Rw4UL17NlT0rVA2b17d8XExKhdu3Z69913deLEiVzXczt9AQD/QSDCLTPG5HrqJa/513l6ejp9ttlsuc67floqMTFRzz77rFq3bq1//etf+umnnzRq1ChlZmbmWObGcVx3fV0zZ85UcnKyY9q+fbsSExPzHGu7du10+vRpzZw5Uxs2bHCc5rqx9h/Hf30c12tOnDhRkydP1ogRI7Ry5UolJycrJiYmxzpurOvl5aUlS5bo66+/VkZGhtPRqtmzZ2v9+vVq1KiRPv30U9WoUSPP7bidvgCAazhlZnE3/qFMTExURESE3N3dc/StVauWDh8+rCNHjjiOEu3cuVPp6ekFelpm7dq1qly5skaNGuWYd+NFwZGRkdq4caNiY2Md8zZv3uz4OTg4WPfcc48OHDig559//pbqnj59Wrt27dL06dP1l7/8RZK0Zs2a2x7/v//9b3Xo0EH/8z//I+laUNq7d+9NvyMPDw9169ZNs2fPlpeXl5599lmVLVvWqc+DDz6oBx98UCNHjlTDhg318ccfq0GDBrmu73b6AgAIRJZ35MgRDRkyRP369dOWLVs0depUTZw4Mde+zZs3V926dfX8889rypQpunr1ql588UU1adJE9erVK7AxVa9eXYcPH9aiRYv08MMP65tvvtGSJUuc+sTFxalPnz6qV6+e40jI1q1bVa1aNUef+Ph4DRo0SL6+vmrdurUyMjK0efNmpaWlaciQITnq+vv7KzAwUDNmzFBoaKgOHz6sV199NV/jX7x4sdatWyd/f39NmjRJqampfxoae/fu7eizdu1ax/yUlBTNmDFD7du3V1hYmHbv3q09e/aoa9euOdZxO30BAP9BILK4rl276tKlS3rkkUfk7u6uuLg49e3bN9e+NptNX375peLi4vTYY4/Jzc1NrVq10tSpUwt0TB06dNDLL7+sgQMHKiMjQ23atNHo0aMVHx/v6PP888/rwIEDGjZsmC5fvqxnnnlG3bt318aNGx19evfurbJly2rChAkaMWKEvL29VadOnTyfEO3m5qZFixZp0KBBioqKUmRkpN577z01bdr0tsY/evRopaSkKCYmRmXLllXfvn3VsWNHpaen33S5iIgINWrUSKdPn3a6+Lps2bL65ZdfNHfuXJ0+fVqhoaEaOHCg+vXrl2Mdt9MXAPAfNvPHCy+Qp7Nnz8putys9PV2+vr5ObZcvX1ZKSoqqVq2q0qVLF9EI0aJFC4WEhGj+/PlFPZR8McaoZs2a6tevX65HsFyBfRdAYYkePi/PtqQJf34UO7/L3+zv9x9xhAh3pYsXL+r//b//p5iYGLm7u+uTTz7RihUrtHz58qIeWr6cOnVK8+fP17FjxxyPEgAAFB4CEe5KNptN3377rcaOHauMjAxFRkZq8eLFat68eVEPLV+Cg4NVvnx5zZgxQ/7+/kU9HACwHAIR7kplypTRihUrinoYBYYz1wBQtAhEAADgT93pNUDFHQ9mBAAAlkcgKkCc9sDdhn0WAK4hEBWA669xuHjxYhGPBLg91/fZG1+lAgBWwzVEBcDd3V1+fn6Ol3uWLVv2pu/2AoqaMUYXL17UqVOn5Ofnl+urWgDASghEBSQkJESSnN7YDhR3fn5+jn0XAKyMQFRAbDabQkNDFRQUpCtXrhT1cIA/5enpyZEhAPj/EYgKmLu7O39kAAC4y3BRNQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDwCEQAAsDyPoh4AAABwvejh8/JsS5rQtRBHUjwV6RGi8ePH6+GHH5aPj4+CgoLUsWNH7d6926mPMUbx8fEKCwtTmTJl1LRpU+3YscOpT0ZGhuLi4lS+fHl5e3urffv2Onr0qFOftLQ0xcbGym63y263KzY2VmfOnHH1JgIAgLtAkQai1atXa8CAAUpMTNTy5ct19epVtWzZUhcuXHD0eeeddzRp0iRNmzZNmzZtUkhIiFq0aKFz5845+gwePFhLlizRokWLtGbNGp0/f15t27ZVVlaWo0+XLl2UnJyshIQEJSQkKDk5WbGxsYW6vQAAoHgq0lNmCQkJTp9nz56toKAgJSUl6bHHHpMxRlOmTNGoUaP09NNPS5Lmzp2r4OBgffzxx+rXr5/S09M1a9YszZ8/X82bN5ckLViwQOHh4VqxYoViYmK0a9cuJSQkKDExUfXr15ckzZw5Uw0bNtTu3bsVGRlZuBsOAACKlWJ1UXV6erokKSAgQJKUkpKi1NRUtWzZ0tHHy8tLTZo00bp16yRJSUlJunLlilOfsLAwRUVFOfqsX79edrvdEYYkqUGDBrLb7Y4+N8rIyNDZs2edJgAAUDIVm0BkjNGQIUPUuHFjRUVFSZJSU1MlScHBwU59g4ODHW2pqakqVaqU/P39b9onKCgoR82goCBHnxuNHz/ecb2R3W5XeHj4nW0gAAAotopNIBo4cKC2bt2qTz75JEebzWZz+myMyTHvRjf2ya3/zdYzcuRIpaenO6YjR47cymYAAIC7ULEIRHFxcfrqq6/0ww8/qGLFio75ISEhkpTjKM6pU6ccR41CQkKUmZmptLS0m/Y5efJkjrq//vprjqNP13l5ecnX19dpAgAAJVORBiJjjAYOHKgvvvhCK1euVNWqVZ3aq1atqpCQEC1fvtwxLzMzU6tXr1ajRo0kSdHR0fL09HTqc+LECW3fvt3Rp2HDhkpPT9fGjRsdfTZs2KD09HRHHwAAYF1FepfZgAED9PHHH+v//u//5OPj4zgSZLfbVaZMGdlsNg0ePFjjxo1TRESEIiIiNG7cOJUtW1ZdunRx9O3Vq5eGDh2qwMBABQQEaNiwYapTp47jrrP77rtPrVq1Up8+fTR9+nRJUt++fdW2bVvuMAMAAEUbiD744ANJUtOmTZ3mz549W927d5ckjRgxQpcuXdKLL76otLQ01a9fX8uWLZOPj4+j/+TJk+Xh4aFnnnlGly5dUrNmzTRnzhy5u7s7+ixcuFCDBg1y3I3Wvn17TZs2zbUbCAAA7gpFGoiMMX/ax2azKT4+XvHx8Xn2KV26tKZOnaqpU6fm2ScgIEALFizIzzABAEAJVywuqgYAAChKBCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5HkU9AAAA8Oeih8/Lsy1pQtdCHEnJxBEiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgeQQiAABgefkKRAkJCVqzZo3j8z/+8Q898MAD6tKli9LS0gpscAAAAIUhX4Fo+PDhOnv2rCRp27ZtGjp0qJ588kkdOHBAQ4YMKdABAgAAuJpHfhZKSUlRrVq1JEmLFy9W27ZtNW7cOG3ZskVPPvlkgQ4QAADA1fIViEqVKqWLFy9KklasWKGuXbtKkgICAhxHjgAAwH9ED5+XZ1vShK6FOBLkJl+BqHHjxhoyZIgeffRRbdy4UZ9++qkkac+ePapYsWKBDhAAAMDV8nUN0bRp0+Th4aHPP/9cH3zwge655x5J0nfffadWrVoV6AABAABcLV9HiCpVqqR//etfOeZPnjz5jgcEAABQ2PIViCQpOztb+/bt06lTp5Sdne3U9thjj93xwAAAAApLvgJRYmKiunTpokOHDskY49Rms9mUlZVVIIMDAAAoDPkKRP3791e9evX0zTffKDQ0VDabraDHBQAAUGjyFYj27t2rzz//XNWrVy/o8QAAABS6fN1lVr9+fe3bt6+gxwIAAFAk8hWI4uLiNHToUM2ZM0dJSUnaunWr03SrfvzxR7Vr105hYWGy2Wz68ssvndq7d+8um83mNDVo0MCpT0ZGhuLi4lS+fHl5e3urffv2Onr0qFOftLQ0xcbGym63y263KzY2VmfOnMnPpgMAgBIoX6fMOnXqJEnq2bOnY57NZpMx5rYuqr5w4YLuv/9+9ejRw7HOG7Vq1UqzZ892fC5VqpRT++DBg/X1119r0aJFCgwM1NChQ9W2bVslJSXJ3d1dktSlSxcdPXpUCQkJkqS+ffsqNjZWX3/99a1vNAAAKLHy/S6zgtC6dWu1bt36pn28vLwUEhKSa1t6erpmzZql+fPnq3nz5pKkBQsWKDw8XCtWrFBMTIx27dqlhIQEJSYmqn79+pKkmTNnqmHDhtq9e7ciIyMLZFsAAMDdK1+BqHLlygU9jjytWrVKQUFB8vPzU5MmTfTWW28pKChIkpSUlKQrV66oZcuWjv5hYWGKiorSunXrFBMTo/Xr18tutzvCkCQ1aNBAdrtd69atyzMQZWRkKCMjw/GZd7QBAFBy5esaIknav3+/4uLi1Lx5c7Vo0UKDBg3S/v37C3Jsat26tRYuXKiVK1dq4sSJ2rRpk5544glHUElNTVWpUqXk7+/vtFxwcLBSU1Mdfa4HqD8KCgpy9MnN+PHjHdcc2e12hYeHF+CWAQCA4iRfgWjp0qWqVauWNm7cqLp16yoqKkobNmxQ7dq1tXz58gIbXOfOndWmTRtFRUWpXbt2+u6777Rnzx598803N13u+rVM1+X2nKQb+9xo5MiRSk9Pd0xHjhzJ/4YAAIBiLV+nzF599VW9/PLL+vvf/55j/iuvvKIWLVoUyOBuFBoaqsqVK2vv3r2SpJCQEGVmZiotLc3pKNGpU6fUqFEjR5+TJ0/mWNevv/6q4ODgPGt5eXnJy8urgLcAAAAUR/k6QrRr1y716tUrx/yePXtq586ddzyovJw+fVpHjhxRaGioJCk6Olqenp5OR6VOnDih7du3OwJRw4YNlZ6ero0bNzr6bNiwQenp6Y4+AADA2vJ1hKhChQpKTk5WRESE0/zk5ORcr9fJy/nz550e8JiSkqLk5GQFBAQoICBA8fHx6tSpk0JDQ3Xw4EG99tprKl++vJ566ilJkt1uV69evTR06FAFBgYqICBAw4YNU506dRx3nd13331q1aqV+vTpo+nTp0u6dtt927ZtucMMAABIymcg6tOnj/r27asDBw6oUaNGstlsWrNmjd5++20NHTr0ltezefNmPf74447PQ4YMkSR169ZNH3zwgbZt26Z58+bpzJkzCg0N1eOPP65PP/1UPj4+jmUmT54sDw8PPfPMM7p06ZKaNWumOXPmOJ5BJEkLFy7UoEGDHHejtW/fXtOmTcvPpgMAgBIoX4Fo9OjR8vHx0cSJEzVy5EhJ1253j4+P16BBg255PU2bNpUxJs/2pUuX/uk6SpcuralTp2rq1Kl59gkICNCCBQtueVwAAMBa8hWIbDabXn75Zb388ss6d+6cJDkdtQEAALib5CsQ/RFBCAAA3O1uORA99NBD+v777+Xv768HH3zwps/w2bJlS4EMDgAAoDDcciDq0KGD47k8HTp0uGkgAgAAuJvcciAaM2aM4+f4+HhXjAUAAKBI5OvBjNWqVdPp06dzzD9z5oyqVat2x4MCAAAoTPkKRAcPHlRWVlaO+RkZGTp69OgdDwoAAKAw3dZdZl999ZXj56VLl8putzs+Z2Vl6fvvv1fVqlULbnQAAACF4LYCUceOHSVdew5Rt27dnNo8PT1VpUoVTZw4scAGBwBAcRE9fF6ebUkTuhbiSOAKtxWIsrOzJUlVq1bVpk2bVL58eZcMCgAAoDDl68GMKSkpBT0OAACAIpPvJ1VfuHBBq1ev1uHDh5WZmenUdjvvMwMAAChq+QpEP/30k5588kldvHhRFy5cUEBAgH777TeVLVtWQUFBBCIAAHBXyddt9y+//LLatWun33//XWXKlFFiYqIOHTqk6Oho/e///m9BjxEAAMCl8hWIkpOTNXToULm7u8vd3V0ZGRkKDw/XO++8o9dee62gxwgAAOBS+QpEnp6ejneZBQcH6/Dhw5Iku93u+BkAAOBuka9riB588EFt3rxZNWrU0OOPP6433nhDv/32m+bPn686deoU9BgBAABcKl9HiMaNG6fQ0FBJ0t/+9jcFBgbqhRde0KlTpzR9+vQCHSAAAICr5esIUb169Rw/V6hQQd9++22BDQgAAKCw5esI0RNPPKEzZ87kmH/27Fk98cQTdzomAACAQpWvQLRq1aocD2OUpMuXL+vf//73HQ8KAACgMN3WKbOtW7c6ft65c6dSU1Mdn7OyspSQkKB77rmn4EYHAABQCG4rED3wwAOy2Wyy2Wy5nhorU6aMpk6dWmCDAwAAKAy3FYhSUlJkjFG1atW0ceNGVahQwdFWqlQpBQUFyd3dvcAHCQAA4Eq3FYgqV64sScrOznbJYAAAAIrCLQeir776Sq1bt5anp6e++uqrm/Zt3779HQ8MAACgsNxyIOrYsaNSU1MVFBSkjh075tnPZrMpKyurIMYGAABQKG45EP3xNBmnzAAAQElyW88hWrlypWrVqqWzZ8/maEtPT1ft2rV5DhEAALjr3FYgmjJlivr06SNfX98cbXa7Xf369dOkSZMKbHAAAACF4bYC0c8//6xWrVrl2d6yZUslJSXd8aAAAAAK020FopMnT8rT0zPPdg8PD/366693PCgAAIDCdFuB6J577tG2bdvybN+6datCQ0PveFAAAACF6bYC0ZNPPqk33nhDly9fztF26dIljRkzRm3bti2wwQEAABSG23pS9euvv64vvvhCNWrU0MCBAxUZGSmbzaZdu3bpH//4h7KysjRq1ChXjRUAAMAlbisQBQcHa926dXrhhRc0cuRIGWMkXXsYY0xMjN5//30FBwe7ZKAAAACucluBSLr2PrNvv/1WaWlp2rdvn4wxioiIkL+/vyvGBwAA4HK3HYiu8/f318MPP1yQYwEAACgSt3VRNQAAQElEIAIAAJZHIAIAAJaX72uIAAC4m0QPn5dnW9KEroU4EhRHHCECAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWV6SB6Mcff1S7du0UFhYmm82mL7/80qndGKP4+HiFhYWpTJkyatq0qXbs2OHUJyMjQ3FxcSpfvry8vb3Vvn17HT161KlPWlqaYmNjZbfbZbfbFRsbqzNnzrh46wAAwN2iSAPRhQsXdP/992vatGm5tr/zzjuaNGmSpk2bpk2bNikkJEQtWrTQuXPnHH0GDx6sJUuWaNGiRVqzZo3Onz+vtm3bKisry9GnS5cuSk5OVkJCghISEpScnKzY2FiXbx8AALg7eBRl8datW6t169a5thljNGXKFI0aNUpPP/20JGnu3LkKDg7Wxx9/rH79+ik9PV2zZs3S/Pnz1bx5c0nSggULFB4erhUrVigmJka7du1SQkKCEhMTVb9+fUnSzJkz1bBhQ+3evVuRkZGFs7EAAKDYKrbXEKWkpCg1NVUtW7Z0zPPy8lKTJk20bt06SVJSUpKuXLni1CcsLExRUVGOPuvXr5fdbneEIUlq0KCB7Ha7o09uMjIydPbsWacJAACUTMU2EKWmpkqSgoODneYHBwc72lJTU1WqVCn5+/vftE9QUFCO9QcFBTn65Gb8+PGOa47sdrvCw8PvaHsAAEDxVWwD0XU2m83pszEmx7wb3dgnt/5/tp6RI0cqPT3dMR05cuQ2Rw4AAO4WxTYQhYSESFKOozinTp1yHDUKCQlRZmam0tLSbtrn5MmTOdb/66+/5jj69EdeXl7y9fV1mgAAQMlUbANR1apVFRISouXLlzvmZWZmavXq1WrUqJEkKTo6Wp6enk59Tpw4oe3btzv6NGzYUOnp6dq4caOjz4YNG5Senu7oAwAArK1I7zI7f/689u3b5/ickpKi5ORkBQQEqFKlSho8eLDGjRuniIgIRUREaNy4cSpbtqy6dOkiSbLb7erVq5eGDh2qwMBABQQEaNiwYapTp47jrrP77rtPrVq1Up8+fTR9+nRJUt++fdW2bVvuMAMAAJKKOBBt3rxZjz/+uOPzkCFDJEndunXTnDlzNGLECF26dEkvvvii0tLSVL9+fS1btkw+Pj6OZSZPniwPDw8988wzunTpkpo1a6Y5c+bI3d3d0WfhwoUaNGiQ42609u3b5/nsIwAAYD1FGoiaNm0qY0ye7TabTfHx8YqPj8+zT+nSpTV16lRNnTo1zz4BAQFasGDBnQwVAFDEoofPy7MtaULXQhwJSqJiew0RAABAYSEQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAy/Mo6gEAAKwhevi8PNuSJnQtxJEAOXGECAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWB6BCAAAWF6xDkTx8fGy2WxOU0hIiKPdGKP4+HiFhYWpTJkyatq0qXbs2OG0joyMDMXFxal8+fLy9vZW+/btdfTo0cLeFAAAUIwV60AkSbVr19aJEycc07Zt2xxt77zzjiZNmqRp06Zp06ZNCgkJUYsWLXTu3DlHn8GDB2vJkiVatGiR1qxZo/Pnz6tt27bKysoqis0BAADFkEdRD+DPeHh4OB0Vus4YoylTpmjUqFF6+umnJUlz585VcHCwPv74Y/Xr10/p6emaNWuW5s+fr+bNm0uSFixYoPDwcK1YsUIxMTGFui0AAKB4KvZHiPbu3auwsDBVrVpVzz77rA4cOCBJSklJUWpqqlq2bOno6+XlpSZNmmjdunWSpKSkJF25csWpT1hYmKKiohx98pKRkaGzZ886TQAAoGQq1oGofv36mjdvnpYuXaqZM2cqNTVVjRo10unTp5WamipJCg4OdlomODjY0ZaamqpSpUrJ398/zz55GT9+vOx2u2MKDw8vwC0DAADFSbEORK1bt1anTp1Up04dNW/eXN98842ka6fGrrPZbE7LGGNyzLvRrfQZOXKk0tPTHdORI0fyuRUAAKC4K9aB6Ebe3t6qU6eO9u7d67iu6MYjPadOnXIcNQoJCVFmZqbS0tLy7JMXLy8v+fr6Ok0AAKBkuqsCUUZGhnbt2qXQ0FBVrVpVISEhWr58uaM9MzNTq1evVqNGjSRJ0dHR8vT0dOpz4sQJbd++3dEHAACgWN9lNmzYMLVr106VKlXSqVOnNHbsWJ09e1bdunWTzWbT4MGDNW7cOEVERCgiIkLjxo1T2bJl1aVLF0mS3W5Xr169NHToUAUGBiogIEDDhg1znIIDAACQinkgOnr0qJ577jn99ttvqlChgho0aKDExERVrlxZkjRixAhdunRJL774otLS0lS/fn0tW7ZMPj4+jnVMnjxZHh4eeuaZZ3Tp0iU1a9ZMc+bMkbu7e1FtFgAAKGaKdSBatGjRTdttNpvi4+MVHx+fZ5/SpUtr6tSpmjp1agGPDgAAlBR31TVEAAAArkAgAgAAlkcgAgAAllesryECABQf0cPn5dmWNKFrIY4EKHgcIQIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJZHIAIAAJbHqzsAwCJ49QaQN44QAQAAyyMQAQAAyyMQAQAAyyMQAQAAyyMQAQAAy+MuMwC4S3CXGOA6HCECAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWRyACAACWx7vMAKCQ8C4yoPjiCBEAALA8AhEAALA8AhEAALA8AhEAALA8LqoGgFvERdFAycURIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHkEIgAAYHk8hwiAZfAcIQB54QgRAACwPAIRAACwPE6ZAbhrcMoLgKsQiAAAQJE6/Nc6uc6v9Ma2QhsDgQgAANzVCiJQEYgAAMAdKQ5HeO4UgQjALbvTa3i4BgjIXVEHiqKuXxxwlxkAALA8Sx0hev/99zVhwgSdOHFCtWvX1pQpU/SXv/ylqIcFFBqO0ACuUdRHWIq6fklgmUD06aefavDgwXr//ff16KOPavr06WrdurV27typSpUqFfXwgFtCoEFxVdR/kO+0flGPH0XPMoFo0qRJ6tWrl3r37i1JmjJlipYuXaoPPvhA48ePL+LRwSoINMhLUf9BL+pAUNT1AUsEoszMTCUlJenVV191mt+yZUutW7cu12UyMjKUkZHh+Jyeni5JOnv2rOsGWggee/2TPNt+HPsc9V28fFbGpTzbbmXfYnnXLb/jtVq5zg9/NbFQlj/nmZXr/D9uF8uzPMvf/vLX12GMyXP56x1KvGPHjhlJZu3atU7z33rrLVOjRo1clxkzZoyRxMTExMTExFQCpiNHjtw0K1jiCNF1NpvN6bMxJse860aOHKkhQ4Y4PmdnZ+v3339XYGBgrsucPXtW4eHhOnLkiHx9fW97bCzP8izP8izP8ixf8MsbY3Tu3DmFhYXddD2WCETly5eXu7u7UlNTneafOnVKwcHBuS7j5eUlLy8vp3l+fn5/WsvX1zdf/0FZnuVZnuVZnuVZ3jXL2+32P13eEs8hKlWqlKKjo7V8+XKn+cuXL1ejRo2KaFQAAKC4sMQRIkkaMmSIYmNjVa9ePTVs2FAzZszQ4cOH1b9//6IeGgAAKGKWCUSdO3fW6dOn9de//lUnTpxQVFSUvv32W1WuXLlA1u/l5aUxY8bkOM3G8izP8izP8izP8sV3+etsxvzZfWgAAAAlmyWuIQIAALgZAhEAALA8AhEAALA8AhEAALA8AhEAALA8AhEAALA8yzyHCChoe/fu1bp165Samiqbzabg4GA1atRIERERRT20ItGjRw+99dZbf/q+oIJ25swZffbZZzp8+LAqV66s//7v/76lx/TfiVOnTmnHjh2Kjo6Wr6+vTp48qblz5yo7O1tt2rRRnTp1XFpfYv+7Efsf+98dK5DXyaNY6N69uzl27Fih101LSzMzZswwr7/+upk5c6Y5c+aMy2uePHnSrFy50qSnpxtjjElNTTVvv/22GT9+vNm6datLa585c8a0b9/e2Gw24+fnZ2rUqGEiIiKMn5+fcXNzMx06dHCMyxUyMzPN8OHDzb333msefvhh89FHHzm1p6amGjc3N5fV//nnn3OdPD09zZIlSxyfXaVTp05m8eLFxhhjduzYYcqXL28qVKhg6tevb4KDg01ISIjZuXOny+r/8MMPxtvb29hsNhMaGmp+/vlnU7FiRRMREWEiIyONl5eXWbp0qcvqs/+x/7H/uWb/IxDlA78QrP0LITY21tSpU8ckJibmaEtMTDR169Y1Xbt2dVn9MWPGmODgYDNhwgQzatQoY7fbTd++fR3tqampxmazuay+zWYzbm5uxmaz5Ziuz3fl/l++fHmzZ88eY4wxrVu3Nl26dDEZGRnGmGv/b/bq1cu0bNnSZfUfffRRM2DAAHPu3DkzYcIEU7FiRTNgwABH+7Bhw0yjRo1cVp/9j/2P/c81+x+BKB/4hWDtXwh2uz3XXwbXrV+/3tjtdpfVr169uvn6668dn/ft22ciIiJM9+7dTXZ2tssD+f3332/atGljdu3aZQ4ePGgOHjxoUlJSjIeHh1m+fLljnquUKVPG7Nu3zxhjTGhoqNmyZYtT++7du136/fv6+jrqX7lyxXh4eJiffvrJ0b5nzx6X1mf/Y/9j/3PN/sdF1fmwcOFCffjhhxo2bJjGjh2rpKQk/fDDD+rRo4fM//8mFJvN5rL6devWVevWrbVz506lpKQoJSVFBw4ckLu7u5YuXer47CoXLlyQm9u1XSc5OVnDhg1TqVKlJEmenp4aMWKENmzY4LL627Zt08svv6xy5cpp8ODBSk1NVe/evR3tffv21Y4dO1xWX7r5f19X/reXpGPHjikqKsrx+d5779WqVau0fv16xcbGKisry6X1N27cqOrVq6tTp076/fffVblyZVWpUkWSFBYWpsqVKxfYOwJzU7duXa1cuVKSFBISokOHDjm1Hzp0SGXKlHFZ/VKlSuny5cuSpMzMTGVnZzs+S9KlS5fk6enpsvoS+x/7H/vfdQW6/xVQaLOUMmXKmJSUFKd5x44dM5GRkeb55583x44dc+m/kDIyMsxLL71katWq5fSvEw8PD7Njxw6X1b2ufv36ZsaMGcYYYx588EGzZMkSp/Zly5aZkJAQl9UvX7682b59uzHGmAsXLhg3Nzezfv16R/vPP/9sypcv77L6//M//2Pq1q1rNm3alKNt06ZN5oEHHjCxsbEuq1+1alWzYsWKHPOPHTtmatSoYZo3b+7S/e+6b7/91lSsWNGMGzfOZGVlFdr+969//csEBASY2bNnm9mzZ5sqVaqYDz/80Kxdu9Z89NFHJjw83AwfPtxl9Tt06GDatm1r1qxZY/r27Wvq1atn2rRpY86fP28uXLhg/uu//su0atXKZfXZ/65h/2P/+6OC2P8IRPnALwRr/0JIS0szrVq1Mjabzfj7+5vIyEhTs2ZN4+/vb9zc3Ezr1q1NWlqay+r36tXL9OzZM9e2o0ePmurVqxfK/mfMtdPDrVu3No0bNy60/c8YYz7//HNTsWLFHKeOS5cubQYPHmyuXr3qstp79uwx1atXNzabzdSuXdscO3bMtG/f3nh4eBgPDw9ToUIFk5SU5LL67H//wf7H/vdHd7r/8bb7fOjdu7eMMZo1a1aOtmPHjqlp06Y6cOCAyw8dS9LJkyfVo0cPnTt3TomJifr5559Vq1Ytl9ddvHixBg8erOPHj+uPu5CXl5f69++v//3f/5W7u7tLau/du1dPPvmk9u/fr1q1amnZsmV64YUX9O2330qS/P39lZCQoIceesgl9a/btWuXEhMTlZqaKuna4fOGDRuqZs2aLq176NAh/fLLL4qJicm1/cSJE1q2bJm6devm0nH80XvvvacffvhBU6dOVcWKFQulZlZWlpKSkpSSkqLs7GyFhoYqOjpaPj4+hVL/9OnTCgwMdHz+/vvvdenSJTVs2NBpvqv88ssvWr9+Pfufim7/27Jliw4cOMD+p5Kx/xGI8oFfCNdY/Q8SAKDkIBAB+WCM0YoVK3I8mOzRRx9Vs2bNXH5hIfVzr9+oUSM1b968xG//zaSlpenrr79W165dqU99l8nOznbcXHPj/KNHj6pSpUp3XX0C0R1YuXKl1qxZoxMnTsjd3V1Vq1ZV+/btC+1JnTfWr1atmtq1a1dk9Yt6+wur/rFjx9S2bVtt27ZNUVFRCg4OljFGp06d0vbt23X//ffrq6++0j333EN96he6n3/+WQ899FChnLKnvvXqnz17Vr1799bXX38tX19f9e/fX2+88YbjEomTJ08qLCzs7qyfryuPLO7kyZPmkUceMTabzbi7uxs3NzcTHR1tQkJCjLu7u0svKKZ+0ddv3769eeKJJ8zx48dztB0/ftw88cQTpkOHDtSnvkukp6ffdPr3v//t0ouaqW/t+oMGDTI1atQwn332mZk5c6apXLmyadOmjeNZdK5+Dp8r6xOI8qFz586mY8eOJi0tzVy8eNEMGDDA8WTO77//3gQGBpopU6ZQv4TW9/b2NsnJyXm2b9myxXh7e1Of+i5x/cGreU2ufjAr9a1dv1KlSuaHH35wfP7tt99M/fr1TcuWLc3ly5dd/mBOV9bnlFk+2O12rVu3TrVr15Z07UGF/v7++u233+Tr66sFCxZo7Nix+uWXX6hfAutXqFBB//znP/X444/n2r5y5Up17txZv/76K/WpX+DsdrtGjRql+vXr59q+d+9e9evXz2WnLKhv7fre3t7avn27qlat6ph37tw5xcTEqEyZMvrwww9VvXr1u7I+b7vPBy8vL6eLJt3c3JSVlaWrV69Kkho1aqSDBw9Sv4TWf/bZZ9WtWzdNmjRJLVq0cLzZOj09XcuXL9fQoUPVpUsX6lPfJa4/TqJJkya5tvv5+cmV/86lvrXrh4eHa9euXU6BxMfHR8uWLVPLli311FNPuay2y+vf6eErK3rqqadMp06dzPnz501mZqYZPHiwqV69uqM9MTHRpU9qpn7R1s/IyDD9+/c3pUqVMm5ubqZ06dKmdOnSxs3NzZQqVcq88MILjvPZ1Kd+QZsxY4Z5991382xPTU018fHx1Ke+S8TFxZn/+q//yrXt7Nmzpn79+i49ZebK+pwyy4cDBw6oZcuWOnTokGw2m7y9vfXZZ5+pefPmkqQ5c+Zo9+7dGj9+PPVLYP3rzp49q82bN+vkyZOSrj2YLDo6Wr6+vi6tS33qA0UlLS1Nx48fd1yycKPz588rKSkpzyNYxbk+gSifLl68qDVr1igzM1MNGjRQ+fLlqW+h+gCAkoVABOTDhQsX9PHHH+f6YL7nnntO3t7e1Kc+9alP/buoPoEony5duqRPPvkkx4MBO3bsqGbNmlG/BNffuXOnWrRooYsXL6pJkyZOD+ZbvXq1vL29tWzZMpe9U4761Kc+9anvgvr5uvLI4vbu3WsqV65sAgMDTWhoqLHZbKZNmzamfv36xt3d3fz3f/+3uXLlCvVLaP2mTZuaZ599NtcLZzMyMsxzzz1nmjZtSn3qU5/61L+L6hOI8qF169amX79+JisryxhjzPjx403r1q2NMcbs2bPHVKlSxYwZM4b6JbR+mTJlzI4dO/Js37ZtmylTpgz1qU996lP/Lqqf881o+FOrV6/W0KFDHS+WGzJkiFasWKHTp08rIiJCU6ZM0dy5c6lfQuv7+/tr7969ebbv27dP/v7+1Kc+9alP/bupfn5TmpWFhYWZpKQkx+e0tDRjs9nM2bNnjTHGHDhwwHh5eVG/hNYfM2aMsdvtZsKECSY5OdmcOHHCpKammuTkZDNhwgTj7+9v3nzzTepTn/rUp/5dVJ9AlA/dunUzTZo0Mbt27TIHDhwwnTt3Ng8++KCjfdWqVSY8PJz6JbS+Mcb8/e9/d1y/9Md3CIWGhpq3337bpbWpT33qU5/6BV+fu8zy4dSpU+rQoYM2bNggm82mSpUq6YsvvtCDDz4oSfr888914sQJxcXFUb8E1v+jlJQUpaamSrr2YL4/Pk6+MFCf+tSnPvULpj6B6A7s3btXGRkZqlmzpjw8Cv+1cNQv2voAgJKDi6rvQEREhKKionL8MT5y5Ih69uxJ/RJc/9KlS1qzZo127tyZo+3y5cuaN28e9alPfepT/26qX0Cn9PAHycnJLn25HfWLtv7u3btN5cqVHeevmzRpYo4fP+5oT01NpT71qU996t9l9TnPkA9fffXVTdsPHDhA/RJc/5VXXlGdOnW0efNmnTlzRkOGDNGjjz6qVatWqVKlSi6tTX3qU5/61HdR/YJKbVZyPZnabLY8J1cmZOoXbf2goCCzdetWp3kvvviiqVSpktm/f7/L/4VEfepTn/rUL/j6XEOUD6GhoVq8eLGys7NznbZs2UL9Elz/0qVLOa5b+sc//qH27durSZMm2rNnD/WpT33qU/8uq88ps3yIjo7Wli1b1LFjx1zbbTabjAtv3qN+0davWbOmNm/erPvuu89p/tSpU2WMUfv27V1Wm/rUpz71qe+i+vk6rmRxP/74o/nuu+/ybD9//rxZtWoV9Uto/XHjxjnenZabF154wdhsNupTn/rUp/5dVJ/nEAEAAMvjGiIAAGB5BCIAAGB5BCIAAGB5BCIAAGB5BCIAJYYxRs2bN1dMTEyOtvfff192u12HDx8ugpEBKO4IRABKDJvNptmzZ2vDhg2aPn26Y35KSopeeeUVvfvuuwX+eoErV64U6PoAFA0CEYASJTw8XO+++66GDRumlJQUGWPUq1cvNWvWTI888oiefPJJlStXTsHBwYqNjdVvv/3mWDYhIUGNGzeWn5+fAgMD1bZtW+3fv9/RfvDgQdlsNv3zn/9U06ZNVbp0aS1YsKAoNhNAAeM5RABKpI4dO+rMmTPq1KmT/va3v2nTpk2qV6+e+vTpo65du+rSpUt65ZVXdPXqVa1cuVKStHjxYtlsNtWpU0cXLlzQG2+8oYMHDyo5OVlubm46ePCgqlatqipVqmjixIl68MEH5eXlpbCwsCLeWgB3ikAEoEQ6deqUoqKidPr0aX3++ef66aeftGHDBi1dutTR5+jRowoPD9fu3btVo0aNHOv49ddfFRQUpG3btikqKsoRiKZMmaKXXnqpMDcHgItxygxAiRQUFKS+ffvqvvvu01NPPaWkpCT98MMPKleunGOqWbOmJDlOi+3fv19dunRRtWrV5Ovrq6pVq0pSjgux69WrV7gbA8DleLkrgBLLw8PD8Wbs7OxstWvXTm+//XaOfqGhoZKkdu3aKTw8XDNnzlRYWJiys7MVFRWlzMxMp/7e3t6uHzyAQkUgAmAJDz30kBYvXqwqVao4QtIfnT59Wrt27dL06dP1l7/8RZK0Zs2awh4mgCLCKTMAljBgwAD9/vvveu6557Rx40YdOHBAy5YtU8+ePZWVlSV/f38FBgZqxowZ2rdvn1auXKkhQ4YU9bABFBICEQBLCAsL09q1a5WVlaWYmBhFRUXppZdekt1ul5ubm9zc3LRo0SIlJSUpKipKL7/8siZMmFDUwwZQSLjLDAAAWB5HiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOURiAAAgOX9fy4yWndVGN4mAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1 = sns.barplot(data=merged, x='Year',y='count',hue='query')\n",
    "labels = ax1.get_xticklabels()\n",
    "ax1.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax1.set_ylabel('Citations')\n",
    "\n",
    "plt.savefig('total_citations.svg',bbox_inches='tight')\n",
    "plt.savefig('total_citations.png',bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "ax1 = sns.barplot(data=merged, x='Year',y='norm',hue='query')\n",
    "labels = ax1.get_xticklabels()\n",
    "ax1.set_xticklabels(rotation=90, labels = ['' if count%2!=0 else x for count, x in enumerate(labels)])\n",
    "ax1.set_ylabel('Citations/All PubMed Citations')\n",
    "\n",
    "plt.savefig('norm_citations.svg',bbox_inches='tight')\n",
    "plt.savefig('norm_citations.png',bbox_inches='tight')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7d88fadc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "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": "3.9.15"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}