{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "67b48c21-1fc3-4be7-ae4b-e4c2a75aaaf7",
   "metadata": {},
   "source": [
    "# Quickstart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1dbe5778-ec37-4e3c-8f57-085dcf6051c1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last updated: Fri Sep 23 2022\n",
      "\n",
      "Python implementation: CPython\n",
      "Python version       : 3.9.7\n",
      "IPython version      : 8.0.1\n",
      "\n",
      "graphviz: not installed\n",
      "\n",
      "myforestplot: 0.2.2\n",
      "numpy       : 1.21.5\n",
      "statsmodels : 0.13.2\n",
      "matplotlib  : 3.5.1\n",
      "pandas      : 1.4.1\n",
      "\n",
      "Watermark: 2.3.1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from typing import Union, Optional, List, Dict, Tuple, Any\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import statsmodels.api as sm\n",
    "import statsmodels.formula.api as smf\n",
    "\n",
    "import myforestplot as mfp\n",
    "\n",
    "%load_ext watermark\n",
    "%watermark -n -u -v -iv -w -p graphviz"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6f1f90f-416e-478c-a7ce-9063e4bc9c18",
   "metadata": {},
   "source": [
    "## Create pretty statsmodels result dataframe\n",
    "titanic data can be downloaded from https://raw.githubusercontent.com/mwaskom/seaborn-data/master/titanic.csv."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2981f7f3-d1aa-4aac-8e79-9136deae5f3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "titanic = pd.read_csv(\"titanic.csv\")\n",
    "titanic = titanic[[\"survived\", \"pclass\", \"sex\", \"age\", \"embark_town\"]]\n",
    "titanic = titanic.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1a30bcab-4850-4838-a76a-3dc433259b22",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.509889\n",
      "         Iterations 6\n"
     ]
    }
   ],
   "source": [
    "res = smf.logit(\"survived ~ sex + age + embark_town\", data=titanic).fit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8e810fe5-876c-46e6-8a18-abcdcab1c78d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"simpletable\">\n",
       "<caption>Logit Regression Results</caption>\n",
       "<tr>\n",
       "  <th>Dep. Variable:</th>       <td>survived</td>     <th>  No. Observations:  </th>  <td>   712</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Model:</th>                 <td>Logit</td>      <th>  Df Residuals:      </th>  <td>   707</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Method:</th>                 <td>MLE</td>       <th>  Df Model:          </th>  <td>     4</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Date:</th>            <td>Fri, 23 Sep 2022</td> <th>  Pseudo R-squ.:     </th>  <td>0.2444</td>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Time:</th>                <td>00:17:04</td>     <th>  Log-Likelihood:    </th> <td> -363.04</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>converged:</th>             <td>True</td>       <th>  LL-Null:           </th> <td> -480.45</td> \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Covariance Type:</th>     <td>nonrobust</td>    <th>  LLR p-value:       </th> <td>1.209e-49</td>\n",
       "</tr>\n",
       "</table>\n",
       "<table class=\"simpletable\">\n",
       "<tr>\n",
       "               <td></td>                 <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
       "</tr>\n",
       "<tr>\n",
       "  <th>Intercept</th>                  <td>    2.2046</td> <td>    0.322</td> <td>    6.851</td> <td> 0.000</td> <td>    1.574</td> <td>    2.835</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>sex[T.male]</th>                <td>   -2.4760</td> <td>    0.191</td> <td>  -12.976</td> <td> 0.000</td> <td>   -2.850</td> <td>   -2.102</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>embark_town[T.Queenstown]</th>  <td>   -1.8156</td> <td>    0.535</td> <td>   -3.393</td> <td> 0.001</td> <td>   -2.864</td> <td>   -0.767</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>embark_town[T.Southampton]</th> <td>   -1.0069</td> <td>    0.237</td> <td>   -4.251</td> <td> 0.000</td> <td>   -1.471</td> <td>   -0.543</td>\n",
       "</tr>\n",
       "<tr>\n",
       "  <th>age</th>                        <td>   -0.0081</td> <td>    0.007</td> <td>   -1.233</td> <td> 0.217</td> <td>   -0.021</td> <td>    0.005</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<class 'statsmodels.iolib.summary.Summary'>\n",
       "\"\"\"\n",
       "                           Logit Regression Results                           \n",
       "==============================================================================\n",
       "Dep. Variable:               survived   No. Observations:                  712\n",
       "Model:                          Logit   Df Residuals:                      707\n",
       "Method:                           MLE   Df Model:                            4\n",
       "Date:                Fri, 23 Sep 2022   Pseudo R-squ.:                  0.2444\n",
       "Time:                        00:17:04   Log-Likelihood:                -363.04\n",
       "converged:                       True   LL-Null:                       -480.45\n",
       "Covariance Type:            nonrobust   LLR p-value:                 1.209e-49\n",
       "==============================================================================================\n",
       "                                 coef    std err          z      P>|z|      [0.025      0.975]\n",
       "----------------------------------------------------------------------------------------------\n",
       "Intercept                      2.2046      0.322      6.851      0.000       1.574       2.835\n",
       "sex[T.male]                   -2.4760      0.191    -12.976      0.000      -2.850      -2.102\n",
       "embark_town[T.Queenstown]     -1.8156      0.535     -3.393      0.001      -2.864      -0.767\n",
       "embark_town[T.Southampton]    -1.0069      0.237     -4.251      0.000      -1.471      -0.543\n",
       "age                           -0.0081      0.007     -1.233      0.217      -0.021       0.005\n",
       "==============================================================================================\n",
       "\"\"\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b86ef38-48f5-46a9-bf06-2d309664e307",
   "metadata": {},
   "source": [
    "After fitting, clean dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e1b9768c-b9b2-45dc-b6bb-2560a1c6bb8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "order = [\"age\", \"sex\", \"embark_town\"]\n",
    "cont_cols = [\"age\"]\n",
    "item_order = {\"embark_town\": ['Southampton', 'Cherbourg', 'Queenstown']}\n",
    "df = mfp.statsmodels_pretty_result_dataframe(titanic, res, \n",
    "                                             order=order, \n",
    "                                             cont_cols=cont_cols, \n",
    "                                             item_order=item_order,\n",
    "                                             fml=\".3f\", \n",
    "                                             )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9c7e735b-c6bc-4108-af19-616df53c3391",
   "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>category</th>\n",
       "      <th>item</th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>risk</th>\n",
       "      <th>pvalues</th>\n",
       "      <th>nobs</th>\n",
       "      <th>risk_pretty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>age</td>\n",
       "      <td>age</td>\n",
       "      <td>0.979300</td>\n",
       "      <td>1.004771</td>\n",
       "      <td>0.991954</td>\n",
       "      <td>2.174575e-01</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.99 (0.98, 1.00)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>sex</td>\n",
       "      <td>male</td>\n",
       "      <td>0.057848</td>\n",
       "      <td>0.122213</td>\n",
       "      <td>0.084082</td>\n",
       "      <td>1.668679e-38</td>\n",
       "      <td>453.0</td>\n",
       "      <td>0.08 (0.06, 0.12)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>sex</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>259.0</td>\n",
       "      <td>Ref.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>embark_town</td>\n",
       "      <td>Southampton</td>\n",
       "      <td>0.229654</td>\n",
       "      <td>0.581167</td>\n",
       "      <td>0.365332</td>\n",
       "      <td>2.125424e-05</td>\n",
       "      <td>554.0</td>\n",
       "      <td>0.37 (0.23, 0.58)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>embark_town</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130.0</td>\n",
       "      <td>Ref.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>embark_town</td>\n",
       "      <td>Queenstown</td>\n",
       "      <td>0.057027</td>\n",
       "      <td>0.464428</td>\n",
       "      <td>0.162742</td>\n",
       "      <td>6.902284e-04</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.16 (0.06, 0.46)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      category         item         0         1      risk       pvalues  \\\n",
       "3          age          age  0.979300  1.004771  0.991954  2.174575e-01   \n",
       "0          sex         male  0.057848  0.122213  0.084082  1.668679e-38   \n",
       "4          sex       female       NaN       NaN       NaN           NaN   \n",
       "2  embark_town  Southampton  0.229654  0.581167  0.365332  2.125424e-05   \n",
       "5  embark_town    Cherbourg       NaN       NaN       NaN           NaN   \n",
       "1  embark_town   Queenstown  0.057027  0.464428  0.162742  6.902284e-04   \n",
       "\n",
       "    nobs        risk_pretty  \n",
       "3    NaN  0.99 (0.98, 1.00)  \n",
       "0  453.0  0.08 (0.06, 0.12)  \n",
       "4  259.0               Ref.  \n",
       "2  554.0  0.37 (0.23, 0.58)  \n",
       "5  130.0               Ref.  \n",
       "1   28.0  0.16 (0.06, 0.46)  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d72e1ffb-7581-4aca-9687-73edbdd3bbdc",
   "metadata": {},
   "source": [
    "The above type of dataframe structure is required. If you prepare dataframe like above, you do not need to use \"mfp.statsmodels_pretty_result_dataframe\"."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d99ccfe-7e7a-495b-a3ca-a9eef3ec7002",
   "metadata": {},
   "source": [
    "## Create a forest plot "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "de3c113a-cb84-47fc-b97e-d4a39c4298d2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"nobs\"] = (df[\"nobs\"]\n",
    "              .replace(np.nan, titanic.shape[0])\n",
    "              .astype(int)\n",
    "              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "eda4d8d9-79eb-403a-ac87-293bed4b5a7a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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pU1GzZk3Y2NhArVbDxcUFDRo0wMKFC1GqVCnMnz8fQ4YMgbOzM0xNTVGrVi0cPHgQJUqUyLTd/v37Y8CAAXBxcdE6cqtSqbB+/XqsW7cODRo0gK2tLYyMjODo6IiaNWti/PjxGjeyHjx4MJYvX47SpUvD2NgYpUuXxpIlS9CmTRuljoODg/L/IUOG4ODBg2jRogUcHBxgaGgIe3t7NG/eHEFBQRg8ePBr7ydjY2MMHDhQed6jR49Mh1YREemicuXKOg/lJKBOnTr47rvvsHfvXtStWxcbNmzAsWPHsGHDBtSrVw/79u3Dd999p8zemh1bW1uMHTsWly5dUmZBz0rGDOsnT57UWjZw4EBs3boVR44cwapVq1CjRg1cv35d47IT4MWZ7ClTpmDHjh0IDg7GwoULUbduXahUKkydOjXT7V6+fBlz5szBsmXLlJFFZcqUgaurK/r164dDhw6hf//+MDIygqenZ7Z9+Pnnn1GpUiU0a9YM/fr1w65du3Ds2DFs2rQJ3bp1g6enJx49epRtG+np6fjjjz9e67YrRET0FuV2tvshuXPnjhw/flzjCHRoaKjY2NgIAK0baL8tgwcPFgBiaGgo165de+vbIyIiTWFhYfLJJ59IwYIFxcjISAoUKCDt27eX48ePa9XN6symiEhSUpIUKVJESpUqpXWm9GVpaWlStGhR6d+/v9ayNm3aiJOTk6jVanF0dBQ/Pz+JjIzUqjdkyBApV66cWFlZiZGRkTg7O0vXrl3lypUrmW4zPT1d6tWrJwMGDNBadvr0afH09BQLCwupUKGCHDp0KMvYX+3v999/L7Vq1RJra2sljvbt28vevXuVelmd2Tx8+LAAkNOnT+u0PSIiertUIryJmr4cOXIEDRo0UCYMio+Px+PHjwG8mOhoxYoV6Nmz51vbvo+PDy5duoS7d+8CAHr37o3ly5e/te0REVHeMX/+fEyfPh137tyBmZlZboeTK7p164aIiAje+oSIKI94b4bRvg9cXV3xySefwNHRETExMUhMTISrqys6d+6MsLCwt5poAsCNGzdw9+5d5M+fH19++SUWLVr0VrdHRER5x4ABA5AvXz78+OOPuR1Krrhx4wZ+/fVXzJ49O7dDISKi/8czm0RERB+I33//HX/++afGtfsfi5CQEFy7dg19+/bN7VCIiOj/MdkkIiIiIiIiveMwWiIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6Z3Rm6wkIkhMTNR3LERERESUx/B3X9bMzc2hUqlyOwyid+JN3u9vlGwmJibC0tLyTVYlIiIiIiKi90x8fDwsLCxeax0OoyUiIiIiIiK9U4mIvO5KHE5BRERE9HF427/7XvdMCX3ckpOTMX/+fOX58OHDYWpqmosRfTze2TBalUrFPwxEREREHwlePkV5haGhIYyNjZXnFhYWTDbzMA6jJSIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiKiPCshIQEqlQoqlQr379/H5MmTMXnyZDx//jy3Q6McMNkkIiIiIiIivWOySURERERERHrHZJOIiODn56cMUcrsceLECQDA77//jt69e6Nq1aowMTGBSqVCZGSkVntXr17FiBEjULVqVdjY2MDOzg516tTBli1b3nHP3r34+HgMGTIEzs7OMDU1hYeHBzZu3Kjz+gcOHECdOnVgZmaGfPnyoVWrVrhw4YJWvefPn2PixIkoVqwYjI2N4erqirFjxyIpKUnnbd24cQMmJiYICwvTKI+IiED79u1hY2MDS0tL+Pr64syZMzq1KSL4/vvv4ebmBhMTEzg5OaFfv3549OiRVt179+7h66+/RvHixWFmZgZXV1d88cUX+Oeff3Tuw6v27NmD7t27o0KFClCr1VCpVK/dxsaNG+Hh4QFTU1M4OztjyJAhiI+P16qn62tdv359DBky5E26Q0Sv6Nq1q/L/48ePIzo6OhejoRwJERF99K5fvy5hYWFaDwcHB3FxcZHU1FQREfH39xdXV1dp27ateHt7CwC5efOmVnuLFi0SNzc3mT59ugQFBcm+ffukR48eAkAmT578jnv3bvn6+oqNjY0sXbpUgoODpXfv3gJANmzYkOO6O3bsEJVKJW3btpW9e/dKQECAlClTRmxtbeX69esaddu3by+mpqYyY8YMOXjwoEyZMkWMjY2lVatWOsfatm1badGihUbZ/fv3xdnZWcqXLy9bt26VvXv3St26dcXKykouX76cY5vDhg0TAwMDGTVqlAQFBcl3330n1tbWUrVqVXn+/LlSLzk5WUqVKiUODg7y448/SkhIiCxdulQKFiwoLi4u8uTJE5378bJevXpJqVKlpFOnTlK1alV53Z8669evFwDSu3dvCQ4OlqVLl0q+fPnE19dXq66ur/WRI0dErVbrtP+ISFNiYqL4+fkJgEwfarVa+vbtK0lJSbkdKmWCySYREWXqyJEjAkAmTJiglKWlpSn/nzt3bpbJ5oMHDyQ9PV2rvEWLFmJubi7JyclvJebctnfvXgEgAQEBGuW+vr7i7OysJO1ZKVOmjFSsWFFj30VGRoqxsbF07txZKQsLCxMAMn/+fI31Z8yYIQAkKCgox1gvXrwoACQwMFCjfOTIkaJWqyUyMlIpi4uLEwcHB+nUqVO2bd6+fVsMDQ1l4MCBGuUBAQECQJYtW6aUHTx4UADIihUrMq27bdu2HPuQmZffowMGDHitZDM1NVWcnJykcePGGuUbNmwQALJv3z6l7HVfa3d3d+nTp8/rdIXoo5eYmCheXl5KYlmrVi1ZsmSJ7NixQ5YsWSKenp7KMi8vL0lMTMztkOkV78Uw2t9++w1t2rRBiRIlkC9fPhgZGcHBwQG+vr7YsWOHRt2LFy+iadOmsLCwgIODA/r27YszZ84oQ8G8vb016t+/fx/Dhw+Hm5sbzMzMYGFhgerVq+Onn36CiLy7ThIR5TErV66ESqVCr169lDIDA92+NhwcHDIdvlijRg0kJiYiNjZWb3HmJdu3b4elpSU6duyoUd6zZ09ERUXh5MmTWa4bExODK1euoFmzZhr7ztXVFe7u7tixYwfS0tIAAKGhoQCA5s2ba7TRsmVLAMDWrVtzjHXJkiVwdHSEr6+vVh8aNmwIV1dXpcza2hrt27fH7t27kZqammWbJ06cQFpamk5xqdVqAEC+fPk06trY2AAATE1Nc+xDZnR9j2bmxIkTuHv3Lnr27KlR3rFjR1haWmL79u1K2eu+1t26dUNAQACePn36xvERfWwGDx6Mo0ePwtraGkFBQTh+/Di++uortGnTBl999RXCwsIQFBQEa2trHD16lMPV86D3Itk8c+YMdu3ahYiICDx58gRpaWmIiYnBoUOH0K5dO/zyyy8AgJs3b6Ju3bo4cOAAEhMTERMTg+XLl6Nt27aZthsREQEPDw8sWLAAV65cQXJyMhITE3Hq1Cl89dVX6Ny58zvsJRFR3hEXF4ctW7bAx8cHxYoV01u7ISEhyJ8/PwoUKKC3NvOS8+fPo2zZsjAyMtIor1ixorI8KxlT+JuYmGgtMzExQWJiIm7cuJFt3Yzn586dyzHWvXv3on79+hrJWVJSEm7cuKHE+2ofkpKSEBER8dp9yLh28uW46tSpg6pVq8Lf3x/h4eGIj4/HmTNnMG7cOFSpUgWNGjXKsQ/6lvH6vNp/tVoNNzc3jdfvdV9rb29vJCQk4MiRI28hcqIPz71797BmzRoAwJYtW7QOjGXw9fVV5gNYvXo1r+HMY96LZNPb2xuHDx/GvXv38OzZMyQkJGD37t3K8nnz5gEA/P39lQkImjRpgqioKERERKBgwYKZtjt48GDcvXsXRkZG2Lx5MxITExEdHa0cpdy4cSP27t37lntHRJT3/PLLL0hKSsIXX3yhtzZXrFiBI0eOYMKECTA0NNRbu3lJTEwM7OzstMozymJiYrJct2DBgrCzs1POWmZ4/PixkrhkrF+uXDkA0Kr7+++/57gd4MWonoiICFSpUkWj/NGjRxCRN+5DVnEdP34cIqKxrpGREUJCQlC8eHHUqFEDVlZWyoRSBw8eVM58vksZ8WXV/5fjf93XunLlylCpVFr7hogyt3LlSqSkpMDT0zPLRDODr68vatasiZSUFKxcufIdRUi6eC+SzUKFCmH37t3w9vaGjY0NLCws0KpVK2X5xYsXAQBBQUFK2Zw5c+Dk5IRixYph6tSpWm0mJycjMDAQAJCamoqOHTvC3NwcBQsWxObNm5V6GXWIiD4mK1euhL29Pdq1a6eX9vbv348BAwbgk08+wcCBA/XSZl6V3eyn2S0zMDDAgAEDcPjwYUydOhX379/H9evX0bVrVyQmJip1AKBZs2YoWbIkRo8ejYMHD+Lx48cIDAzEuHHjYGhomONQ0qioKADI8gzzm/ahUqVKqF+/PubOnYvNmzfj8ePHyrC3V+NKSUnBp59+irNnz2L58uX47bffsHbtWty5cwe+vr6Ii4vLtg9vU1Z9fLX8dfaTWq2GjY0N7ty5898DJPoIHD16FADQo0cPner7+fkBAEcP5DF5PtlMT0+Hj48PvvvuO1y+fDnTKd2Tk5MBAA8fPlTKXr7WpGjRolrrxMTEZHvdSYaX2yQi+hicO3cOp06dQteuXTMd0vm6Dhw4gPbt28PX1xcbNmx4o1tRvC/s7e0zPfOXcY1qZmfCXjZx4kQMHToU06ZNQ8GCBVGqVCkAUK4hdHFxAQAYGxtj//79KFKkCBo3bgxbW1t88sknGDduHGxtbZV6Wcn4Ln31ukhbW1uoVKr/1IfNmzejTp066NSpE2xtbdGgQQO0b98eHh4eGnGtXLkS+/fvx7Zt29C7d2/Uq1cP3bt3R2BgIM6cOYPvvvsu2+28Dfb29gAyP3sbGxur0fc3ea1NTU1f69Y0RB+zjOubnZycdKrv6OiosR7lDXk+2fz777+VazwKFiyIv//+G6mpqXjy5IlW3fz58yv///fff5X/37x5U6uuvb29cp2FlZUVnj17BnkxO6/GIyAgQN9dIiLK0zKGIPXu3fs/t3XgwAG0bdsWXl5e2Lp1K4yNjf9zm3lZhQoVcOnSJa2DmX///TcAwN3dPdv1jYyMsGDBAsTExODcuXOIiorCnj178M8//6BYsWIoVKiQUrdkyZIICwvD7du3ce7cOdy/fx8dO3bEw4cPUb9+/Wy34+DgAABaEzWZmZmhZMmSSryv9sHMzAzFixfPtu0CBQpg3759iI6Oxl9//YX79+9jypQpuHr1qkZcZ8+ehaGhodZQ3uLFi8Pe3j7b61vflgoVKgCAVv9TU1Nx+fJljdfvTV7rR48eKfueiLJnZWUFALh7965O9e/du6exHuUNeT7ZfPnCe0NDQ1haWiIuLg7Dhg3Tqtu4cWPl/+PGjUN0dDQiIyMxceJErbqmpqZo2rQpgBdHQHr16oXIyEikpKTg33//xdq1a1GnTh389ttvb6FXRER507Nnz7B+/XrUqFEjx8QoJ0FBQWjbti3q1q2LHTt26OUsaV7Xrl07xMfHa80Gu3btWjg7O6NmzZo6tWNpaYkKFSrAyckJZ86cweHDhzF48OBM67q4uKBChQowNzfH3LlzYWFhkeO1tq6urjAzM1MmHHq1D8HBwRoHbZ8+fYpt27ahdevWWhPiZKVAgQKoWLEi8uXLh6VLlyIhIQFff/21stzZ2RlpaWkIDw/XWO/q1auIiYnRSKzflZo1a8LJyUmZlCTDli1bEB8fj/bt2ytlr/taR0VFITk5WbmulYiy5+XlBeDFZ0oXGZ/bV+88Qbks9+66opvU1FRxd3fXuoFr6dKlNZ6LiERERIitra1WXRcXF+X/3t7eStsREREayzJ7hISE5FLPiYjevY0bN2rdD/Fl9+/fl82bN8vmzZule/fuAkAWL14smzdvliNHjij1jh07JmZmZlK0aFEJDg6WsLAwjUdcXNy76tI75+vrK7a2trJs2TIJDg6WPn36CABZv369Rr1evXqJoaGhxv0sQ0JCZM6cORIYGCj79++XyZMni7m5ubRo0ULrvo2zZ8+WtWvXSkhIiGzcuFHat28vBgYGsmHDBp3ibNiwodSqVUur/P79++Lk5CQVKlSQ7du3y759+6R+/fpiZWUlly5d0qhbokQJKVGihEbZsmXLZNmyZXL48GHZunWr9O7dW1QqlcycOVOj3j///CM2Njbi4uIiS5YskeDgYFmxYoUUL15cLCws5PLly0rdmzdvCgDp0aNHjv2KjIxU3qNNmzYVAMrz8PBwjXqGhobSq1cvjfXXrVsnAKRv374SEhIiy5YtExsbG/H19dXalq6vtYjI1q1bBYCcO3cuxz4Qkcjdu3dFrVbrdO/goKAgASBqtVru3bv3jiIkXeT5ZFPkxZdM27ZtxdbWVqytraVDhw5y+/ZtrWRTROT8+fPSuHFjMTMzEzs7O+nZs6fs27dPqffJJ59otP3gwQMZNWqUlCtXTkxNTcXMzEyKFy8urVq1kiVLlnzQP4iIiF7l6+srFhYW8uTJk0yXh4SEZHlwzsvLS6k3adKkj/ZA3tOnT2XQoEHi6OgoxsbGUrFiRfnll1+06vXo0UMAyM2bN5Wy0NBQqVmzplhbW4uJiYm4u7vLvHnz5Pnz51rrT548WUqUKCEmJiZiY2MjTZs2ld9++03nOFeuXCmGhoYSFRWltez69evStm1bsba2FnNzc/Hx8ZHTp09r1XN1dRVXV1eNsp9++knKli0r5ubmYmlpKfXq1ZMdO3ZkGsO1a9ekW7duUrRoUTExMZEiRYrIp59+KhcuXNCo9/fffwsAGTNmTI79Wr16dZbvu5eT1ewS2ICAAKlYsaIYGxuLo6OjDBo0SJ4+fapVT9fXWkSkW7duUqFChRzjJ6L/yTiAY21tnWXCGRQUJNbW1spBIspbVCIiejpJmiccOHAAnp6eyk2iHzx4gJ49eyq3MFm+fLlerkMiIiJ6nyUnJ6NIkSIYPnw4Ro8endvhZGvx4sUYNWoUbty4keXtzPKyJ0+ewNnZGd9++y369OmT2+EQvTeSkpLQrFkzZWZaT09P9OjRA46Ojsp9OE+ePAngxbDbwMBArYnPKHd9cMlm0aJF8c8//8DBwQFGRkaIjo5Geno6gBf34Nm3b5/O15sQERF9yJYsWQJ/f39ERETAwsIit8PJUseOHVGqVCnMmDEjt0N5I5MnT8avv/6Kc+fO8TcI0WtKSkrCgAEDsHr16kyXq9Vq9OzZEwsXLmSimQd9cMnmhAkTsGfPHty6dQtPnz5Fvnz5UKFCBXTu3BlffPHFB3sjcSIioteVlpaGOXPmoGXLlspMrKR/3377LerUqYMaNWrkdihE76WEhARYWloCAOrVq4djx44BeHE2c+3atRq3PKS85YNLNomIiIiI6MPxcrJ569YtJbkcO3YsJk6cyDOaeViev/UJERERERERvX944QAREREREeVZFhYWyBiMmZycjEmTJuVyRKQrntkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+M3mQlEUFiYqK+YyEiIiKiPOZt/+6zsLB4a23Thyc5ORnPnz9XnickJCAtLS0XI/p4mJubQ6VSvdY6KhGR191QQkICLC0tX3c1IiIiIiIieg/Fx8e/9sEhDqMlIiIiIiIivXujM5scRktERET0ceAwWspLkpOTMX/+fOX58OHDYWpqmosRfTzeZBjtG12zqVKp+IeBiIiI6CPBy6corzA0NISxsbHy3MLCgslmHsZhtERERERERKR3TDaJiIiIiIhI75hsEhERERERkd4x2SQiIiIiIiK9Y7JJREREREREesdkk4iIiIiIiPSOySYRERERERHpHZNNIiIiIiIi0jsmm0RERERERKR3TDaJiIiIiIhI75hsEhERERERkd4x2SQiIiIiIiK9Y7JJREREREREesdkk4iIiIiIiPSOySYRERERERHpHZNNIiIiIspzEhISoFKpoFKpkJCQ8MZ1iCj3MNkkIiIiIiIivWOySURERERERHrHZJPoA1W0aFH4+fnldhj0nlqxYgVUKhUsLS01yv38/JQhay8/3NzcNOolJCTgs88+Q5kyZWBlZQULCwuUL18e06ZN41A3Inpt0dHRmD59Oho3boxatWqhcePGmDFjBqKjo3M7NCLKBpNNIiLScOfOHYwYMQLOzs6ZLjczM0NYWJjG49dff9Wok5KSAhHBsGHDsHXrVuzcuRMdOnTAlClT0KZNm3fRjVwTHx+PIUOGwNnZGaampvDw8MDGjRt1Xv/+/fvw8/ODg4MDzM3NUatWLRw+fFir3rNnzzB37ly4u7vDwsICBQsWRLNmzXD8+HGdt3Xjxg2YmJggLCxMozwiIgLt27eHjY0NLC0t4evrizNnzujc7pkzZ9CoUSNYWlrCxsYG7du3R0RERKZ1b926hV69esHZ2RkmJiZwcXFBu3btdN5WZg4dOoRatWrB3NwcDg4O8PPzw/3793Va9+eff1YOlBgYGKBo0aKZ1gsODkavXr3g5uYGCwsLuLi4oE2bNjh9+rRW3fr162PIkCH/oUfk5uaGCRMm4ODBgzhx4gQOHjyI8ePHax3oIqK8xSi3AyAiorzlq6++Qv369WFnZ4ctW7ZoLTcwMICnp2e2bdjY2GgloI0aNcKzZ88wZ84cREREoHjx4nqNO69o3749wsPDMWvWLJQuXRoBAQH4/PPPkZ6ejs6dO2e77rNnz+Dj44PHjx9j4cKFKFCgAH788Uc0bdoUhw4dgpeXl1K3T58+2LBhA8aOHYuGDRsiNjYWs2bNgpeXF0JDQ1GjRo0cYx0xYgR8fX1Rq1YtpezBgweoV68ebG1tsWrVKpiammLmzJnw9vZGeHg4ypQpk22bly9fhre3Nzw8PLBp0yYkJydj4sSJqFevHs6ePYv8+fMrdc+fPw9vb28UL14c8+bNQ6FChXD37l0cOHAgx9izcvToUTRr1gwtWrTAzp07cf/+fYwePRo+Pj44deoUTExMsl1/3bp1uHfvHmrUqIH09HSkpKRkWm/JkiWIiYnB4MGDUa5cOTx48ADz58+Hp6cnDhw4gIYNGyp1p06dCl9fX/Tr1y/H/Uf/k5SUpPw/JSUFtWrVQvfu3eHk5IS7d+9i7dq1OHHihEZ9CwuL3AiViLIi74Hbt29L9+7dpVChQqJWq8XCwkKKFSsmbdq0kQMHDij1zp49K507dxYXFxdRq9Via2srTZo0kUOHDil1YmJipHDhwgJALCws5Nq1ayIikpycLO7u7gJA1Gq1hIWFvfN+0sdh0qRJAkD++usv+eSTT8Ta2lpsbW1l6NChkpKSIpcvX5YmTZqIpaWluLq6yuzZs5V1k5KSZNiwYVKpUiVlPU9PT9mxY4fWdlxdXaVHjx4aZXFxcTJ8+HApWrSoqNVqcXZ2lsGDB0t8fPzb7ja9J9atWydWVlby77//So8ePcTCwkJjeWZlr2Pu3LkCQG7duvVfQ82T9u7dKwAkICBAo9zX11ecnZ0lNTU12/V//PFHASDHjx9XylJSUqRcuXJSo0YNpSw5OVkMDQ2la9euGutHRUUJABk0aFCOsV68eFEASGBgoEb5yJEjRa1WS2RkpFIWFxcnDg4O0qlTpxzb7dixozg4OEhcXJxSFhkZKWq1WkaNGqWUpaeni4eHh3h4eEhycnKO7eqqevXqUq5cOUlJSVHKQkNDBYAsXrw4x/XT0tKU/7do0UJcXV0zrRcdHa1V9vTpUylYsKD4+PhoLXN3d5c+ffro0APK4OfnJwDE2tpagoKCMq0TFBQk1tbWAkB69uz5jiOk3JCUlCSTJk1SHklJSbkdEmXjvUg2PTw8BECmj/Hjx4uIyM6dO0WtVmdaR6VSyZIlS5T2jh8/LkZGRgJAPD09JTU1VQYPHqzUnzdvXm51lT4CGclmmTJlZOrUqXLw4EEZNWqUAJCvv/5a3Nzc5Pvvv5eDBw9Kz549BYBs3bpVREQeP34sfn5+sm7dOgkODpbAwEAZMWKEGBgYyNq1azW282qymZCQIB4eHuLg4CALFiyQQ4cOycKFCyVfvnzSsGFDSU9Pf5e7gfKg6Ohosbe3lx9//FFEMk8se/ToIQYGBlKwYEExMDAQFxcXGTBggMTExGTaZnp6uqSkpEhcXJzs379fHB0d5fPPP3/rfcktvXv3FktLS41ER0QkICBAAEhoaGi26zdq1EjKlCmjVT5jxgwBILdv3xYRkefPn4tarZYBAwZo1IuPjxcDAwONpC4rAwcOFEdHR43kSkSkZMmS0qRJE636ffv2FTMzM62+vSwlJUXMzMzkyy+/1FrWuHFjKVWqlPL8yJEjAkDWrFmTY6y6un37tgCQmTNnai0rXbq0+Pr6vlZ72SWbWWnQoIGULl1aq3z27NliYWEhT548ea32PlZ3795VftdllWhmCAoKUk4W3Lt37x1FSLmFyeb7Jc8nmzExMUoS2KFDB4mLi5P4+Hi5fPmyLFu2TLZv3y6JiYmSP39+ASBFixaV8PBwefbsmVy5ckXKlCkjAMTMzEwePHigtDt79myl3TZt2ohKpRIA0qpVK/7oprcqI9mcP3++RnnGQZVt27YpZSkpKZI/f35p3759pm2lpqZKSkqKfPHFF1K5cmWNZa8mmzNnzhQDAwMJDw/XqLdlyxYBIPv27fuPPaP3XYcOHaR27drK38DMks0FCxbIggULJCgoSIKCgmT8+PFibm4ubm5u8vTpU602f/nlF42Dfz179sw2WXnfeXp6SvXq1bXKz58/LwDkp59+ynZ9R0dH6dixo1b5nj17BIDGaJ7BgweLpaWlbN++XeLi4uTmzZvy+eefi62trTJqJzvFixfXOlOZmJgoKpVKRo4cqVX/hx9+EABy5cqVLNu8fPmyAFAOWLxsxIgRolKplB+GU6ZMUQ6mNWvWTExMTMTCwkJatGghly5dyjH+zAQGBgoA2bt3r9ayTz75RJycnF6rvddNNh8/fiz58uWTdu3aaS07efKkAJBdu3a9Vgwfq2nTpiknBXRRs2ZNASDTp09/y5FRbmOy+X7J8xME2djYwM7ODgAQGhqKKVOmYOPGjYiJiUH37t3Rtm1bhIaG4sGDBwCAyMhIVK9eHSYmJihTpgyuXLkC4MU4/qNHjyrtjhw5Es2bNwcA7Ny5EyKCIkWKYM2aNVCpVO+4l/QxatmypcbzsmXLQqVSoVmzZkqZkZERSpYsiVu3billmzdvRp06dWBpaQkjIyOo1WqsXLkSly5dynZ7e/bsgbu7Ozw8PJCamqo8mjRpApVKhSNHjui1f/R+2bp1K3bv3o3ly5dn+zdw6NChGDp0KHx9feHr64tp06bh559/xuXLl7F8+XKt+k2aNEF4eDiCg4Mxffp0bN26FR06dEB6evrb7E6uiYmJUb6zXpZRFhMTo7f1v/32WwwbNgwdOnRAvnz5UKxYMYSGhiI4OBglS5bMdjv3799HREQEqlSpolH+6NEjiMgb9yFjWVbriwgePXoE4MVEVADQs2dPODs7Y+/evVi6dCnOnz+PevXq4e7du9n24U22n9P+/68GDBiAhIQEjB8/XmtZ5cqVoVKpEBoa+lZj+FBk/Gbr0aOHTvUzZl/ndxlR3pLnJwgyMDDAxo0b8dVXXyEiIgLz589XltnY2GDJkiVIS0vTqa2HDx8q/1epVBg9ejT27dunlH3xxReZfkERvQ2vvteMjY1hbm4OU1NTrfInT54AALZt24ZOnTqhY8eOGDlyJBwdHWFkZIQlS5Zg1apV2W4vOjoa169fh1qtznT5y58P+rjEx8djwIABGDhwIJydnfH48WMAwPPnzwEAjx8/hlqtznLijXbt2sHCwkJjoo4Mtra2qFatGgCgQYMGKFGiBD777DPs3LnzP884mldll6zrcjBT1/WnT5+OefPmwd/fH/Xq1cOTJ0/www8/wNfXF0FBQahcuXKW7URFRQEAChQo8J9ieJM6GcsyDjjUqlULK1asUJa7u7ujcuXK+PHHHzFt2rQct/U623+bB5O/+eYbbNiwAYsWLULVqlW1lqvVatjY2ChJNmXv6dOnAAAnJyed6js6OmqsR0R5Q55PNgHA19cXN27cwI0bN3DlyhVcuXIFc+bMwb1799C7d29s3bpVqdukSRMEBgZqtSEiGl8yiYmJ6Nevn0adWbNmoX379nB3d397nSH6D9avX49ixYrh119/1Xg/P3v2LMd1HRwcYGZmlmVS6uDgoLc46f3y8OFDREdHY/78+RoH9DLY2tqiTZs22LFjR5ZtiAgMDHIeLJMxQ+rVq1ffON68zN7ePtOzZ7GxsQAyP+P2JutfunQJEydOxJw5czBixAilXrNmzVCuXDkMGzYMISEhWW4nY5bPVw9u2draQqVSvXEf7O3tAWR+9jM2NhYqlQo2NjYadZs0aaJRz8PDA05OTq91qxVdt/+2DihPnjwZ06ZNw/Tp0/H1119nWc/U1FRjhlXKmpWVFQDofIb73r17GusRUd6Q54fRAi+GpQQGBsLY2BiNGjXCp59+qtz/LSEhAW5ubspU6kFBQZg3bx5iYmLw7NkzXL58GbNnz9YaUtS/f39cvHgRADBu3DjlC6BTp0684TjlWSqVCsbGxhqJ5r1797Bz584c123ZsiVu3LgBe3t7VKtWTeuR1b3k6MPn6OiIkJAQrUeTJk1gamqKkJCQbM8wbdmyBYmJiTneDgWAkgDlNMzzfVWhQgVcunQJqampGuV///03AOR4MLNChQpK3ezW/+uvvyAiqF69ukY9tVqNSpUq4fz589luJ+PgUkYCmcHMzAwlS5bMMgYzM7Nsb1lTokQJmJmZZbl+yZIllQS3YsWKWbaj68GLV2Xsn6y2/zYOJk+ePBn+/v7w9/fHuHHjsq376NEjHtjTUcZtftauXatT/TVr1gAAvL2931JERPRGcvF6UZ0ZGhpmORtt1apVRURk165dYmxsnGW9l7u6atUqpezTTz8Vkf9NfABA63YRRPqUMUHQyxNWiWR9SwkvLy8pX768iPzvvduvXz85fPiwrFmzRkqUKCGlSpWSVz/Or04QFB8fL5UrV5ZChQrJ/Pnz5eDBg3LgwAFZvny5dOzYUU6cOKH/ztJ77dX3ZGRkpNSuXVu+//572bdvn+zfv1/GjBkjpqamUr58eY1b6CxdulS6dOkia9euleDgYNm9e7eMGjVKzMzMpHbt2h/sJEH79u0TALJx40aN8qZNm+p065PFixcLAI3PY0pKipQvX15q1qyplB09elQAyKxZszTWT05OlmLFiomHh0e223n27JmYmZnJ0KFDtZaNGjVKjI2N5Z9//lHKnjx5Ivnz51e+M7PTqVMnKVCggMasq7du3RJjY2MZPXq0Uvbo0SMxNzfXmiH29OnTAkCmTp2a47YyU6NGDXF3d9fY12FhYQJAY2Z6XeQ0QVDGJEcTJkzIsa07d+4IAFm4cOFrxfCx4my0lBVOEPR+eS+SzQkTJoi3t7c4OTmJsbGxGBsbS4kSJWTAgAEaP9j//vtv6d69uxQpUkTUarXky5dPypYtK927d5dff/1VREQuXLgg5ubmAkAKFy4sjx49UtZv06aNknCuXr36HfeSPhb/JdkUEZk1a5YULVpUTExMpGzZsrJ8+XKlzZdldp/N+Ph4mTBhgpQpU0aMjY0lX758UqFCBRk6dCi/oEnLq+/J2NhYadeunRQtWlTMzMzE2NhYSpUqJaNGjZLHjx9rrBsaGiotW7YUZ2dnMTY2FnNzc6lUqZJMnTpVEhIS3nVX3ilfX1+xtbWVZcuWSXBwsPTp00cAyPr16zXq9erVSwwNDTXuZ5mcnCzly5eXwoULy4YNG+TgwYPSrl07MTIykiNHjij10tLSpHr16mJqaioTJ06UQ4cOydatW8Xb21sAyLp163KMs2HDhlKrVi2t8vv374uTk5NUqFBBtm/fLvv27ZP69euLlZWV1iyxJUqUkBIlSmiUXbp0SSwtLaV+/fqyb98+2bZtm7i7u4uzs7Pcv39fo+68efOUg7yBgYGyZs0aKVy4sBQpUkTjdjo3b97U+WBwSEiIGBkZSbt27eTgwYOyYcMGKVy4sLi7u2vczzMyMlIMDQ2lV69eGutfuHBBNm/eLJs3b5aqVatK/vz5lecXLlzQir1p06YSFham9XjV1q1bBYCcO3cuxz7QC7zPJmWGyeb75b1INomIiN4XT58+lUGDBomjo6MYGxtLxYoV5ZdfftGq16NHDwEgN2/e1Ci/d++edO/eXezs7MTU1FQ8PT3l4MGDWus/fvxYxo8fL2XLlhVzc3MpUKCAeHt763wbo5UrV4qhoaFERUVpLbt+/bq0bdtWrK2txdzcXHx8fOT06dNa9VxdXTM983fq1Cnx8fERc3Nzsba2lrZt28r169czjWP58uXi7u4uxsbGYm9vL126dJF///1Xo87ff/8tAGTMmDE69S0oKEg8PT3F1NRU7OzspHv37hIdHa1RJ6sENuPgXWaPSZMmKfW8vLx0Gk2VoVu3blKhQgWd4qcXHjx4oLFPPT09ZcmSJbJ9+3ZZsmSJcruTjMfDhw9zO2R6B5hsvl9UIiL/fTAuERERvU+Sk5NRpEgRDB8+HKNHj87tcLK1ePFijBo1Cjdu3EDBggVzO5zX9uTJEzg7O+Pbb79Fnz59cjuc90ZCQgIsLS0BvLgeOSUlRavOy+Xx8fFZzppNH47k5GTMmjVLeT5mzBityc4o73gvJggiIiIi/TI1NcXkyZOxYMGCPD8xXkhICAYNGvReJprAi3uiFilSBD179sztUN5bly9fxvTp0+Hr6wtPT0/4+vpi+vTpuHz5cm6HRkTZeC9ufUJERET617dvXzx+/BgRERGoUKFCboeTpc2bN+d2CP+JtbU11qxZAyMj/ux6UwULFsS4ceO0ZvzN6wdKiD52/KtHRET0kTI0NMTYsWNzO4wP3tChQ3M7BCKiXMFkk4iIiIjyHAsLC+Q0tYgudYgo9/CaTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmUS749ddfUb58eZiZmUGlUuHs2bO5HZIWb29veHt753YY9I4EBwejV69ecHNzg4WFBVxcXNCmTRucPn1ao56fnx9UKpXWw83NTavNu3fvws/PDwUKFICpqSkqVqyIlStXvqsu5Zo1a9Zo7BsjIyM4OTnhs88+w7Vr196ozcOHD6NatWqwsLCASqXCjh079Bs0EVEeJSJISEjQeDx//lx5vFwuIrkdLr3CKLcDIPrYPHjwAN26dUPTpk2xePFimJiYoHTp0rkdFn3klixZgpiYGAwePBjlypXDgwcPMH/+fHh6euLAgQNo2LChUtfMzAzBwcEa65uZmWk8j4uLQ926dfH8+XPMmTMHTk5O+OWXX9C7d2/ExcVh2LBh76RfuWn16tVwc3NDcnIyQkNDMX36dISEhODy5cuwtbXVuR0RQadOnVC6dGns2rULFhYWKFOmzFuMnIgobxAR1K1bF8ePH8+yzsyZM5X/16lTB8eOHYNKpXoX4ZEOmGwSvWNXr15FSkoKunbtCi8vr9wOhwgA8OOPP6JAgQIaZU2bNkXJkiUxY8YMjWTTwMAAnp6e2ba3ZMkSRERE4NSpU6hatSoAoEmTJrh79y4mTpyIXr16wcbGRu/9yEvc3d1RrVo1AC9GCqSlpWHSpEnYsWMHevbsqXM7UVFRiI2NRbt27eDj4/O2wiUiynMSExOzTTRfFRoaisTERFhYWLzFqOh1cBgt0Tvk5+eHunXrAgA+/fRTqFQqZajqqVOn0Lp1a9jZ2cHU1BSVK1fGpk2bNNbPGJ4XHByMPn36wN7eHtbW1ujevTsSEhJw7949dOrUCTY2NnBycsKIESOQkpKi0cbkyZNRs2ZN2NnZwdraGlWqVMHKlSt1Gnry/PlzTJs2DW5ubjAxMUH+/PnRs2dPPHjwQD87iHLNq4kmAFhaWqJcuXL4999/X7u90NBQFCxYUEk0M7Rs2RIJCQkIDAx841jfVxmJZ3R0tFKW0+fe398fhQoVAgCMHj0aKpUKRYsWfadxExERvSkmm0Tv0DfffIMff/wRADBjxgyEhYVh8eLFCAkJQZ06dfD48WMsXboUO3fuhIeHBz799FOsWbNGq53evXsjX7582LhxIyZMmICAgAD06dMHLVq0QKVKlbBlyxb06NED8+fPx6JFizTWjYyMxJdffolNmzZh27ZtaN++PQYOHIipU6dmG3t6ejratGmDWbNmoXPnzti7dy9mzZqFgwcPwtvbG0lJSXrbT5Q3xMXF4cyZMyhfvrxGeVJSEhwdHWFoaIhChQrh66+/RmxsrEad58+fw8TERKvNjLJz5869vcDzqJs3bwKAMmxel8997969sW3bNgDAwIEDERYWhu3bt+dK/ERERK9NiOidCgkJEQCyefNmpczNzU0qV64sKSkpGnVbtmwpTk5OkpaWJiIiq1evFgAycOBAjXpt27YVALJgwQKNcg8PD6lSpUqWsaSlpUlKSopMmTJF7O3tJT09XVnm5eUlXl5eyvNffvlFAMjWrVs12ggPDxcAsnjxYt12AL03unTpIkZGRnLq1CmlbMGCBbJgwQIJCgqSoKAgGT9+vJibm4ubm5s8ffpUqTdkyBAxMDCQW7duabTZrVs3ASB9+/Z9Z/141zI+pydOnJCUlBR5+vSpBAYGiqOjo9SvX1/5nOv6ub9586YAkLlz577zvhAR5ab4+HgB8FqP+Pj43A6bXsIzm0S57Pr167h8+TK6dOkCAEhNTVUezZs3x927d3HlyhWNdVq2bKnxvGzZsgCAFi1aaJXfunVLoyw4OBiNGjVCvnz5YGhoCLVajYkTJyImJgb379/PMs49e/bAxsYGrVq10ojRw8MDjo6OOHLkyJvuAsqDvvnmG2zYsAHffvutxlDYoUOHYujQofD19YWvry+mTZuGn3/+GZcvX8by5cuVen379oVarUaXLl1w4cIFxMTE4Mcff8Svv/4K4MV1nx86T09PqNVqWFlZoWnTprC1tcXOnTthZGT0Rp97IiKi982H/21PlMdlXL81YsQIqNVqjUf//v0BAA8fPtRYx87OTuO5sbFxluXJycnK8z/++AONGzcGACxfvhyhoaEIDw/H+PHjASDbobDR0dF4/PgxjI2NteK8d++eVoz0/po8eTKmTZuG6dOn4+uvv86xfrt27WBhYYETJ04oZWXLlsX27dtx69YtuLu7w8HBAbNnz8b8+fMBAC4uLm8t/rzi559/Rnh4OIKDg/Hll1/i0qVL+PzzzwG82eeeiIjofcPZaIlymYODAwBg7NixaN++faZ19HWbg40bN0KtVmPPnj0wNTVVynW5Z5+DgwPs7e2znNjFyspKLzFS7po8eTL8/f3h7++PcePG6byeiGidrWzWrBlu3bqF69evIzU1FaVLl1Ymv6lfv75e486LypYtq0wK1KBBA6SlpWHFihXYsmULKlSoAODdfO6JiIhyC5NNolxWpkwZlCpVCn/99RdmzJjxVreVcYN5Q0NDpSwpKQnr1q3Lcd2WLVti48aNSEtLQ82aNd9mmJRLpk6dCn9/f0yYMAGTJk3Seb0tW7YgMTEx09uhqFQqlCpVCsCLSYMWLlwIDw+PjyLZfNWcOXOwdetWTJw4EefPn39nn3siIqLcwmSTKA/46aef0KxZMzRp0gR+fn5wcXFBbGwsLl26hDNnzmDz5s162U6LFi2wYMECdO7cGX379kVMTAzmzZuX6ayhr/rss8+wYcMGNG/eHIMHD0aNGjWgVqtx+/ZthISEoE2bNmjXrp1e4qR3b/78+Zg4cSKaNm2KFi1aaAyJBV5cf3jr1i107twZn332GUqWLAmVSoWjR4/iu+++Q/ny5dG7d2+NdQYOHAhvb2/Y29sjIiIC33//PW7fvo2jR4++y67lGba2thg7dixGjRqFgICA//S5nzJlCqZMmYLDhw/zfr1ERJRnMdkkygMaNGiAP/74A9OnT8eQIUPw6NEj2Nvbo1y5cujUqZPettOwYUOsWrUKs2fPRqtWreDi4oI+ffqgQIEC+OKLL7Jd19DQELt27cLChQuxbt06zJw5E0ZGRihUqBC8vLyUYYH0ftq9ezcAIDAwMNOh0iICa2trFCxYEAsWLEB0dDTS0tLg6uqKQYMGYdy4cVo30f73338xcOBAPHz4EPb29mjatCl27twJV1fXd9KnvGjgwIH44YcfMGXKFFy6dOmNP/fp6elIS0vT6f64REREuUUl/KYiIiIiIqI8RkRQr149hIaG6lS/Tp06OHbsGFQq1VuOjHTFZJOIiIiIiPIkEUFiYqLyPDk5WZnZHACGDx+uTHpobm7ORDOP4TBaIiIiIiLKk1QqlcZlGoaGhsot3wDAwsJCY4Z9ylt4n00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdGb7KSiCAxMVHfsRARERFRHvO2f/dZWFi8tbbpw5OcnIznz58rzxMSEpCWlpaLEX08zM3NoVKpXmsdlYjI624oISEBlpaWr7saERERERERvYfi4+Nf++AQh9ESERERERGR3r3RmU0OoyUiIiL6OHAYLeUlycnJmD9/vvJ8+PDhMDU1zcWIPh5vMoz2ja7ZVKlU/MNARERE9JHg5VOUVxgaGsLY2Fh5bmFhwWQzD+MwWiIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiL66CQkJEClUkGlUiEhISG3w3ljH0o/6MPEZJOIiIiIiIj0jslmJooWLaocIXrX/P39lW2vWbPmP7e3Zs0a+Pv7w9/fH48fP/7P7REREREREemCyeYHbs2aNZg8eTImT57MZDOPOHnyJNq1a4ciRYrAxMQEBQsWRK1atTB8+PC3ts2oqCj4+/vj7NmzWsv8/PxgaWn51rb9ts2YMQM7duzI7TDee0eOHFEOdL36OHHihFLPz88v0zpubm7Ztn/x4kWYmJhApVLh1KlTb7s7uSo+Ph5DhgyBs7MzTE1N4eHhgY0bN+q07qFDh+Dr6wtnZ2eYmJigQIECaNiwIfbt26dRLzIyMsvXS6VSoWnTpjpt78aNGzAxMUFYWJhGeUREBNq3bw8bGxtYWlrC19cXZ86cybG9tLQ0LFiwAE2bNkWhQoVgbm6OsmXLYsyYMVrfQQkJCfjss89QpkwZWFlZwcLCAuXLl8e0adP+81DAQ4cOoVatWjA3N4eDgwP8/Pxw//59ndZ9+YDzy4+vvvpKq+6ff/6Jtm3bwtnZGebm5nBzc8OUKVOQmJioUa9+/foYMmTIf+oT5W3R0dGYPn06GjdujFq1aqFx48aYMWMGoqOjczs0olxllNsB0AtJSUkwMzPL7TDoLdu7dy9at24Nb29vzJkzB05OTrh79y5OnTqFjRs3Yv78+W9lu1FRUZg8eTKKFi0KDw+Pt7KN3DJjxgx88sknaNu2bW6H8kGYMWMGGjRooFHm7u6u8dzMzAzBwcFaZVlJS0tDr1694ODggKioKP0Fm0e1b98e4eHhmDVrFkqXLo2AgAB8/vnnSE9PR+fOnbNdNyYmBuXLl0fv3r3h6OiI2NhYLF26FC1atMC6devQtWtXAICTk5NWgggAO3bswOzZs9GuXTudYh0xYgR8fX1Rq1YtpezBgweoV68ebG1tsWrVKpiammLmzJnw9vZGeHg4ypQpk2V7SUlJ8Pf3x+eff47evXvDwcEBZ86cwbRp07B7926cOnVKea+kpKRARDBs2DAUK1YMBgYG+O233zBlyhQcOXIEhw4d0qkPrzp69CiaNWuGFi1aYOfOnbh//z5Gjx4NHx8fnDp1CiYmJjm2UadOHcybN0+jrGDBghrPL168iNq1a6NMmTL47rvv4ODgoMR/+vRp7Ny5U6k7depU+Pr6ol+/ftnuP3r/JCUlYfDgwVizZg1SUlI0lh08eBD+/v7o2bMnFi5cCFNT01yKkigXyXsiIiJC+vbtK8WKFRNjY2OxsrKSevXqyaZNm5Q6ISEhAkAASI8ePWTFihVSqlQpMTU1FU9PTwkLC5Pk5GQZM2aMODo6io2NjTRt2lSuX7+usS1XV1elncjISOnQoYNYW1uLpaWltGvXTm7evKlRf9q0aVK3bl1xcnISU1NTMTExkWLFikmvXr206np5eSlt//777/LZZ5+Jra2tZLwUkyZNUpavXr1aREQSEhLEx8dHKR88eLCkp6dnu79e3heZPTLiSk9Pl+XLl0vt2rXF2tpa1Gq1FClSRHr27CnXrl1T2gsMDFTWHTFihFLepUsXASCGhoYSFxcnIiLXrl1T6rZv3z7T12b9+vVSsWJFMTU1lZIlS8qCBQty7NOHoH79+lKiRAlJSUnRWpaWlvbWthseHq7xnnpZjx49xMLC4q1t+22zsLCQHj165HYY772Mz+jmzZuzrfcm75e5c+eKi4uLLFy4UABIeHj4fwk1T9u7d68AkICAAI1yX19fcXZ2ltTU1Ndu8/nz5+Li4iL16tXLsa63t7eYm5srf4+zc/HiRQEggYGBGuUjR44UtVotkZGRSllcXJw4ODhIp06dsm0zNTVVHj58qFW+efNmASDr1q3LMa5Ro0YJALlx40aOdTNTvXp1KVeunMbf2dDQUAEgixcvznF9V1dXadGiRY71xo8fLwC0fkP07dtXAEhsbKxGubu7u/Tp00fHXtC7EB8fr/w2iY+Pf+31ExMTNX7X1apVS5YsWSI7duyQJUuWiKenp7LMy8tLEhMT30Iv/ns/3jdJSUkyadIk5ZGUlJTbIVE23otk848//hArK6ssE6cxY8aIiGZCkz9/fq161tbW0rRpU63ysmXLavwAeDnZdHFx0apfqFAhjS/TSpUqZRmbk5OTxMTEKHVf/qPk4OCgUVdEO9mMj48Xb29vpWzy5Mk67TNdks309HTp2LFjlnUsLS3lxIkTIvLiD6qJiYkAkOrVqyvbKVSokFJ/z549IiKyfPlypSzji/3leDKS61cfr/44+xCVL19eatasmWO9tLQ0mT17tpQpU0aMjY0lf/780q1bN/n333816rm6umaaaHl5eYmXl5eIZP1emDRpkoj8L3m4du2aNGvWTCwsLKRQoUIybNgwSU5O1mjX399fatSoIba2tmJlZSWVK1eWFStWaB0oyPixtnv3bvHw8BBTU1Nxc3OT3bt3i4jI6tWrxc3NTczNzaV69epayUdGTOfPn5eGDRuKubm5ODg4yIABAyQhIUGpl1m/MvotIvL3339L69atxcbGRkxMTKRSpUqyZs0ajW1l7J+AgAAZN26cODk5iZWVlfj4+Mjly5dzfK0+FG8r2bx69aqYmZnJzp07ZfXq1R98stm7d2+xtLTUOqAUEBAgACQ0NPSN2i1fvrw0aNAg2zrXr18XlUolfn5+OrU5cOBAcXR01DrQVbJkSWnSpIlW/b59+4qZmVmmB8tycuvWLQEgM2bMyLHu3LlzBYDcunXrtbdz+/ZtASAzZ87UWla6dGnx9fXNsQ1dk01/f38BIA8ePNAoHzVqlBgYGGj96J89e7ZYWFjIkydPcmyb3o3/mqT16dNH+X0ZFBSUaZ2goCCxtrYWANK3b9//GnKmmGwy2czL3otrNnv16oWnT5/CxsYGhw4dQnJyMv755x/Uq1cPADB79mycP39eY50HDx5g3bp1ePLkiTK87smTJzhw4AC2bt2K2NhYVKtWDQBw6dIlhIeHZ7rtypUr4969e4iMjISnpycA4Pbt2xrDa/z9/XHu3DnExsYiJSUF0dHR6NmzJwDg7t272LBhQ6Ztm5mZ4ejRo0hMTMSff/6ptfzp06do2rSpci3VDz/8gIkTJ+q0z7y9vSEi8PLyUspu3rwJeXGAAUWLFsWWLVuwefNmAICrqytOnz6Nx48fY/To0QBeXHf0xRdfKLFmDLM6c+YMnj59ioiICNy+fRsGBi/eRkeOHNH4FwAaNWqkFdujR4+wYMECxMXFYdGiRUr52rVrderb+6xWrVo4efIkBg0ahJMnT2oNucnQr18/jB49Gr6+vti1axemTp2KwMBA1K5dGw8fPnytbVapUgWrV68GAEyYMAFhYWEICwtD7969lTopKSlo3bo1fHx8sHPnTvTq1QvffvstZs+erdFWZGQkvvzyS2zatAnbtm1D+/btMXDgQEydOlVru3/99RfGjh2L0aNHY9u2bciXLx/at2+PSZMmYcWKFZgxYwY2bNiAuLg4tGzZEklJSRrrp6SkoHnz5vDx8cGOHTvw9ddf46effsKnn36q1AkLC4OZmRmaN2+u9Gvx4sUAgCtXrqB27dq4cOECvv/+e2zbtg3lypWDn58f5syZoxXvuHHjcOvWLaxYsQLLli3DtWvX0KpVK6Slpb3W/n7fDRgwAEZGRrC2tkaTJk3w+++/a9VJSkqCo6MjDA0NUahQIXz99deIjY3Vqici6N27N1q2bInWrVu/i/Bz3fnz51G2bFkYGWlepVKxYkVluS7S09ORmpqKqKgoTJo0CVevXs3xuu5Vq1Yp+1wXe/fuRf369ZW/4cCL1/bGjRtKvK/2ISkpCRERETq1/7KMYdfly5fXWiYiSE1NxZMnTxAYGIj58+fj888/R5EiRV57Oxn7N6v4dd3/v/32G6ysrKBWq1GuXDnMnz9f629Bjx49YGNjg379+iEiIgJPnz7Fnj178NNPP2HAgAGwsLDQqO/t7Y2EhASN70h6f927d0+ZyHHLli3w9fXNtJ6vry+2bNkCAFi9ejWv4aSPT25murp4eUhmdo958+ZpnMF5+ezR4sWLlfLatWsr5WPGjFHKf/nlF6X85TObV65cUcoPHDiglFepUkUp/+2336RVq1bi5OQkarVaK7avvvpKqfvymc2ff/5Zq78vn9m0sLAQAKJWq9/4rN/L23t1SG/GEFgAsnDhQqU8JSVF7O3tlWUZQ4SmTZumlO3fv19WrVolAKRTp04CQKpVqyYi/zvbWaRIEaXNl1+bypUrK+VPnz5VysuUKfNGfXyfPHz4UOrWrav0Wa1WS+3atWXmzJny9OlTERG5dOmSAJD+/ftrrHvy5EkBIOPGjVPKdDmzKZLzMFoAGkPSRUSaN2+e7WuSlpYmKSkpMmXKFLG3t9c4u+nq6ipmZmZy+/Ztpezs2bPK2f6Xz07u2LFDAMiuXbu0Ynr5fSkiMn36dAFeDEHPkNUw2s8++0xMTEzkn3/+0Shv1qyZmJuby+PHj0Xkf+/N5s2ba9TbtGmTAJCwsLAs98GH5MyZMzJ48GDZvn27/Pbbb7Jq1SopW7asGBoaagyzXLBggSxYsECCgoIkKChIxo8fL+bm5uLm5qa8hzMsWrRIbG1t5d69eyIiH8WZzVKlSmV6VjAqKkrnM3siIk2aNFH+TlhbW8u2bduyrZ+amiouLi7i5uamU/vR0dECQGbNmqVRfufOnSzPDGacnT1+/LhO28hw+/ZtKViwoFSrVi3TywV++eUXje/Mnj17vtHZUxGRDRs2ZPm57du3rxgbG+fYRv/+/WXVqlVy9OhR2bFjh/Jd2bVrV626ly5dEjc3N434Bw0alOllIc+fPxeVSiWjR49+o76R/r18RvD27dvy6NEjnR8Zw6g9PT112lbNmjUFgEyYMOG1tqPLI+OMPnhmk/KgPD9BkK5HgF4921OyZEnl/y9PXFGsWDHl/y9PEpCcnJxpu66urpn+P2NWu5MnT6JBgwbZnv149YxNhqpVq2a5DgBlNj57e3vUrFkz27pv4uV9+3LfjIyMUKhQIcTExCj1SpQogUaNGmHChAkAXkzAcPfuXQBAz549ceLECfz55584c+YMbt++DSDzs5oAULZsWeX/Lx/5zeo1+JDY29vj2LFjOHXqFA4fPoxTp07hyJEjGDt2LH766SeEh4cjJCQEwItZP19Wo0YNlC1bFocPH8b06dP1GpdKpUKrVq00yipWrKg1CUxwcDBmzJiB8PBwPHnyRGPZ/fv3NSbQ8PDwgIuLi/I843X39vaGubm5VvmtW7e04urSpYvG886dO2P8+PEICQlBnTp1su1TcHAwfHx8ULhwYY1yPz8/7N+/H2FhYRozdr565i3jzMitW7eUUQ0fssqVK6Ny5crK83r16qFdu3aoUKECRo0ahSZNmgAAhg4dqrGer68vKleujE8++QTLly9Xlt+6dQtjx47Fd999pzWxyocuu9tm6XpLrUWLFuHx48e4e/cu1q9fj08//RRr167F559/nmn9wMBA3LlzB3PnztWp/YyJmgoUKPDacb7ObcFiY2PRvHlziAh+/fVXjbOoGZo0aYLw8HA8ffoUYWFhmD17NmJiYrB9+/ZM6+siqxh1if3HH3/UeN6mTRvY2trihx9+wLBhw5TPSWRkJFq1aoWCBQtiy5YtyJ8/P06ePIlp06YhPj4eK1eu1GhHrVbDxsYGd+7ceaM+0dtVqFChN1qvR48eOtXz8/NT3h/Tpk17o20RvY/y/DDal3+kuLm5KcNAX33MmDFDY71XhzDlVJ6Vl38Av/z/jC/ojRs3Kolmly5d8PDhQ4gIvv/++xzbfvkHd2Z8fHwAvBiq0aBBA9y8efO1Ygey/2J9ed++3Le0tDQlYXy5XrVq1WBjYwPgxVDZI0eOwNDQEHXq1IGXlxfS0tI0hlNmlWyq1Wqd4vuQVatWDaNHj8bmzZsRFRWFoUOHIjIyEnPmzFGSfCcnJ631nJ2dleX6ZG5urjVLnomJicYBgD/++AONGzcGACxfvhyhoaEIDw/H+PHjAWgfVLGzs9N4bmxsnG35qwcbjIyMYG9vr1Hm6OgIADrtg5iYmCz3YWZtvLqtjINRWR0s+hjY2NigZcuWOHfuXLb7oV27drCwsNC4RcqAAQPg7u6ODh064PHjx3j8+LFyO4j4+HjExcW99fhzg729fabvz4xhxq++/7NSqlQpVK9eHa1bt8amTZvg4+ODAQMGID09PdP6K1euhFqtRvfu3XVqP+P1fPVzb2trC5VKpZc+PHr0CL6+vrhz5w4OHjyI4sWLZ1rP1tYW1apVQ4MGDTBu3DgsW7YMu3bt0pjNVVcZn+Os4tc19ldlzAL88nt8zJgxyuU5HTp0QP369TFy5Eh89913WLVqFY4eParVjqmp6Uf9N+VDlNn3TGYyvr+IPjZ5PtksWbKkMu3+5cuXMWLECNy9excpKSmIiIjA4sWLUbFixUzPiujDqFGjEB0djX/++QeTJk1SyjN+dL+cvJqamsLMzAx//fUXFi5c+J+33bVrV3z77bcAgH/++QcNGjR47X6+/AP6r7/+gogoz18+k/Ptt9/i7NmzePLkCb755hvli7pcuXIoUaIEAMDQ0BDe3t4AXiQet27dQpUqVWBlZaVcG5rx40ClUinJMmVPrVYr763z588rr1nGmeOXRUVFwcHBQXluamqKZ8+eadV73es6dbFx40ao1Wrs2bMHnTp1Qu3atZXrnt+G1NRUrR+M9+7dA6CdGGbG3t4+y30IQGM/UtYy/mbkdGBIRDTOQp0/fx4nTpyAra2t8hgwYAAAoEGDBhqjKT4kFSpUwKVLl5CamqpR/vfffwPQvo2MrmrUqIFHjx7hwYMHWsvu37+PPXv2oHXr1lmeqXxVxvv/1WttzczMULJkSSXel/39998wMzPLMml82aNHj9CoUSPcvHkTBw8ezPQayqzUqFEDAHD16lWd18mQsX+ziv9N93/G5+Dl9/jZs2dRrlw5rWszq1evDiDz63MfPXrEvz0fmMy+ZzKT8f1F9LHJ88km8GLSA2trawDA/Pnz4ezsDGNjY5QoUQIDBgzI9EtFX06dOgVHR0e4uroqRzQLFSqEESNGAHhxP7WML5+VK1fCwsICHh4eMDQ01Mv2hwwZgilTpgB4cfaxQYMG+Pfff3Vev3bt2sr/27ZtCwMDAxQtWhQA0LFjR7Rv3x7Ai+FAlStXRr58+TBz5kwAL852LV++XKO9jLOVGUfXM5LPjH8zvpArVKig84+ej0lWX0qXLl0C8OKsW8OGDQEA69ev16gTHh6OS5cuaSTxRYsWxblz5zTqXb16FVeuXNEo08dZOpVKBSMjI433dlJSEtatW/fGbebk1cm1AgICAPzv/Qa86Ftm/fLx8UFwcLDWfR1//vlnmJubfxRDY/+rR48eYc+ePfDw8Mj2/nBbtmxBYmKixj7duHEjQkJCNB4Zk48tXboUe/bseevx54Z27dohPj4eW7du1Shfu3YtnJ2d3+iSCBHB0aNHYWNjk+mBlp9//hkpKSnKhG66cHV1hZmZGW7cuJFpH4KDgzW+a54+fYpt27ahdevWOY4Qykg0IyIiEBQUpDE8WxcZlxK8fDmMrlxcXFCjRg2sX79e4/KWEydO4MqVK8p33uv6+eefAUDjPe7s7IwLFy4gPj5eo27G/U9fHZYZFRWF5ORklCtX7o1ioLfr9u3bePTokc6PjFE9uk5umDGZ0IQJE15rO7o8Xh6NRpTX5PlrNoEXRwnPnTuHOXPmICgoCP/++y/UajWcnJzg4eGBFi1awNnZGZGRkXrfdmhoKIYNG4aDBw9CRNCoUSN8++23yhd+rVq1sHnzZkyePBlXr15FwYIF8eWXX8LR0RG9evXSSwzffPMN4uPjMWfOHNy8eRMNGjTAkSNHdLq+oH///oiIiMCOHTtw9+5djSFYKpUKmzdvxvLly7FmzRpcuHABSUlJcHJyQsOGDTFu3DiULl1ao71XZ1vLOKNZokQJFCpUKMfrNT92TZo0QaFChdCqVSu4ubkhPT0dZ8+exfz582FpaYnBgwejTJky6Nu3LxYtWgQDAwM0a9YMkZGR+Oabb1C4cGGNa+a6deuGrl27on///ujQoQNu3bqFOXPmIH/+/BrbLVGiBMzMzLBhwwaULVsWlpaWcHZ2VoaU6qJFixZYsGABOnfujL59+yImJgbz5s3T6Qbpb8LY2Bjz589HfHw8qlevjuPHj2PatGlo1qwZ6tatq9SrUKECjhw5gt27d8PJyQlWVlYoU6YMJk2ahD179qBBgwaYOHEi7OzssGHDBuzduxdz5sxBvnz53krc76vOnTujSJEiqFatGhwcHHDt2jXMnz8f0dHRyo+kW7duoXPnzvjss89QsmRJqFQqHD16FN999x3Kly+vMQtqZsl8xt/oqlWrvtWz4rmpWbNm8PX1Rb9+/fDkyROULFkSv/zyCwIDA7F+/XqNgzVffPEF1q5dixs3bihnetu0aYNKlSrBw8MD9vb2iIqKwpo1a3D06FH8+OOPmSZ6K1euROHChZXranVhbGyMWrVqaQwLzTBixAisW7cOLVq0wJQpU2BiYoJZs2YhOTkZ/v7+GnUzEsLr168DeHEAqkmTJvjzzz/x3XffITU1VWMb+fPnV0bL/PTTTzh27BgaN26MwoULIyEhAceOHcOiRYtQu3ZttGnTRlkvMjISxYoVQ48ePZT3Y1Zmz54NX19fdOzYEf3798f9+/cxZswYuLu7KzPFAy/ezyVKlECPHj2U6ysDAgKwbds2tGjRAq6urnj8+DE2b96MjRs3ws/PD5UqVVLWHzJkCNq2bQtfX18MHToUDg4OOHHiBGbOnIly5cqhWbNmGnFl7IcGDRpkGz/lDhsbG62z1Nn5+uuvMWfOHJw4cQIHDx7McjZaADh48CBOnjwJtVqNr7/+WrkkSV9evjyJKM/JhUmJiD5av/76q3Tu3FlKlSollpaWolarpUiRItKtWze5ePGiUi/jPpulS5cWtVotDg4O0rVrV637bKanp8ucOXOkePHiYmpqKtWqVZPg4GCt2WhFXsz46ObmpsyY/Op9Nl+VMTPyy1atWiVlypQRExMTKV68uMycOVNWrlypNdtxVvepAyADBgzQKLt586YAkLlz5yplGTGdO3dOvL29xczMTOzs7KRfv35aM+2dPXtW6tSpI+bm5pneZ7NVq1aSL18+MTY2lkqVKmnNyJvV/SUz4spsBt8P0cyZM8XDw0Py5csnhoaGkj9/fmnXrp388ccfSp3Y2Fhp166dFC1aVMzMzMTY2FhKlSolo0aNUmb3zc7HMButyItZtgcNGiSOjo5ibGwsFStW1JjxPEPGrMsvf3Zmz54t1atXF1tbWzE0NBR7e3tp0qSJch/jV4WGhgoAmThx4mvHuXLlSjE0NJSoqCitZdevX5e2bduKtbW1mJubi4+Pj5w+fVqrnqurq7i6uirPMz43WT1enjk6NDRUWrZsKc7OzmJsbCzm5uZSqVIlmTp1qsaM1SIvPsvA/+6rnZOgoCDx9PQUU1NTsbOzk+7du0t0dLRGnYxYX44pLCxMfHx8xNHRUdRqtXIv4MWLF2c6k25wcLA0btxYHB0dxczMTEqXLi3Dhw/XuBd3hm7dukmFChV0ip/eDd5n8/3E2WjfLyqRly7iIyLKA/z8/LBlyxat4WlEpD/JyckoUqQIhg8frgxxzqsWL16MUaNG4caNG+/l7MZPnjyBs7Mzvv32W/Tp0ye3w6H/l5CQAEtLSwAvJi57nTObwIsz+c2aNVMmg/L09ESPHj3g6Oio3Ifz5MmTAF6MBAsMDMz2koQ39V/78b5JTk7GrFmzlOdjxox5K/uV9OO9uGaTtBUtWhQqlSrLx6tDnYiIiF5mamqKyZMnY8GCBcqttvKqkJAQDBo06L1MNIEXk/AVKVJEYxgvvf/MzMywf/9+9O3bF2q1GidOnEC/fv3Qrl079OvXTxk627dv37eWaBLlde/FNZtERESkf3379sXjx48RERGBChUq5HY4Wdq8eXNuh/CfWFtbY82aNa99+zXK+8zMzPDTTz9hypQpWLlyJY4cOYKnT5/CysoK3t7e+OKLL97bgyRE+sBhtERERET00flQhp9+KP3QFYfRvl84jJaIiIiIiIj0juM5iIiIiOijY2FhgQ9hgN+H0g/6MPHMJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jsklERERERER6x2STiIiIiIiI9I7JJhEREREREekdk00iIiIiIiLSOyabREREREREpHdMNomIiIiIiEjvmGwSERERERGR3jHZJCIiIiIiIr1jskmUS86dO4eePXuiWLFiMDU1haWlJapUqYI5c+YgNjYWAFC0aFG0bNnyncRz5MgRqFQqbNmy5Z1sj/KWp0+fYtSoUWjcuDHy588PlUoFf39/rXrff/89PD094eDgABMTExQpUgSfffYZLly4kGm7ixYtgpubG0xMTFCsWDFMnjwZKSkpb7k3uWvNmjVQqVTKw8jICE5OTvjss89w7dq1N2rz8OHDqFatGiwsLKBSqbBjxw79Bk1ElEeJCBISEjQez58/Vx4vl4tIbodLrzDK7QCIPkbLly9H//79UaZMGYwcORLlypVDSkoKTp06haVLlyIsLAzbt2/P7TDpIxITE4Nly5ahUqVKaNu2LVasWJFlvWbNmqFSpUqwtbVFREQEZs2ahZo1a+L06dMoU6aMUnf69On45ptvMGbMGDRu3Bjh4eGYMGEC7ty5g2XLlr2rruWa1atXw83NDcnJyQgNDcX06dMREhKCy5cvw9bWVud2RASdOnVC6dKlsWvXLlhYWGjsZyKiD5WIoG7dujh+/HiWdWbOnKn8v06dOjh27BhUKtW7CI90wGST6B0LCwtDv3794Ovrix07dsDExERZ5uvri+HDhyMwMPCdxZOWlobU1NR3tj1diQiSk5NhZmaW26F8FFxdXfHo0SOoVCo8fPgwy2Rz8uTJGs+9vLzg6emJcuXKYcOGDZgyZQqAF0nptGnT0KdPH8yYMQMA4O3tjZSUFEyYMAFDhgxBuXLl3m6ncpm7uzuqVasG4EXf09LSMGnSJOzYsQM9e/bUuZ2oqCjExsaiXbt28PHxeVvhEhHlOYmJidkmmq8KDQ1FYmIiLCws3mJU9Do4jJboHZsxYwZUKhWWLVumkWhmMDY2RuvWrTXKAgMDUaVKFZiZmcHNzQ2rVq3SWu/evXv48ssvUahQIRgbGytDFl9OJCMjI6FSqTBnzhxMmzYNxYoVg4mJCUJCQpQ6ycnJGDZsGBwdHWFmZgYvLy/8+eefWtvbtWsXatWqBXNzc1hZWcHX1xdhYWEadfz8/FC0aFGtdf39/bWOOqpUKnz99ddYunQpypYtCxMTE6xduxYA8Pvvv6NWrVowNTWFi4sLvvnmG6xYsQIqlQqRkZHaO5leW8aQzzeRP39+AICR0f+OXwYGBiI5OVkrqerZsydE5KMcBpqReEZHRytlp06dQuvWrWFnZwdTU1NUrlwZmzZtUpb7+/ujUKFCAIDRo0dDpVJl+pkiIiLKi3hmk+gdSktLQ3BwMKpWrYrChQvrtM5ff/2F4cOHY8yYMShYsCBWrFiBL774AiVLlkT9+vUBvEg0a9SoAQMDA0ycOBElSpRAWFgYpk2bhsjISKxevVqjze+//x6lS5fGvHnzYG1tjVKlSilJ27hx41ClShWsWLECcXFx8Pf3h7e3N/78808UL14cABAQEIAuXbqgcePG+OWXX/Ds2TPMmTMH3t7eOHz4MOrWrftG+2fHjh04duwYJk6cCEdHRxQoUADnzp2Dr68vSpcujbVr18Lc3BxLly7F+vXr32gbpB8ZZ8Rv3ryJMWPGoECBAhqJ5fnz5wEAFSpU0FjPyckJDg4OyvKPyc2bNwEApUuXBgCEhISgadOmqFmzJpYuXYp8+fJh48aN+PTTT5GYmAg/Pz/07t0blSpVQvv27TFw4EB07tw504NUREREeRGTTaJ36OHDh0hMTESxYsVea53Q0FAUKVIEAFC/fn0cPnwYAQEBSrLp7++PR48e4cKFC0o9Hx8fmJmZYcSIEcp1oRlMTU1x4MABqNVqpSwj2cyfPz+2b9+unOWqW7cuSpUqhZkzZ2L58uVIT0/HyJEjUaFCBezfvx8GBi8GSDRv3hwlSpTA6NGjERoa+kb7Jz4+Hn///bfG9WydOnWCoaEhDh8+DAcHBwBAixYttJIYercsLCzw7NkzAC+SpyNHjmgcQImJiYGJiUmmQ5ns7OwQExPzzmLNLRkJecY1m9OmTUP9+vWVkQv9+/dH+fLlERwcrJwVbtKkCR4+fIhx48ahe/fuKFSokDI6oUiRIvD09My1/hAREb0uDqMlyuM8PDyUBBJ4kSiWLl0at27dUsr27NmDBg0awNnZGampqcqjWbNmAICjR49qtNm6dWuNRPNlnTt31hhO6erqitq1aytDba9cuYKoqCh069ZNSTQBwNLSEh06dMCJEyeQmJj4Rn1t2LCh1sQpR48eRcOGDZVEEwAMDAzQqVOnN9oG6cfx48cRFhaG9evXw8rKCg0aNNCakTa7Ybkfw+QNnp6eUKvVsLKyQtOmTWFra4udO3fCyMgI169fx+XLl9GlSxcA0PjcNm/eHHfv3sWVK1dyuQdERET/DZNNonfIwcEB5ubmynA6Xdjb22uVmZiYICkpSXkeHR2N3bt3Q61WazzKly8P4MXZ0Zc5OTlluT1HR8dMyzLORGX8m1kbzs7OSE9Px6NHj3TombbM2oyJiUHBggW1yjMro3enSpUq8PT0RJcuXRASEgIRwbhx45Tl9vb2SE5OzvTAQ2xsLOzs7N5luLni559/Rnh4OIKDg/Hll1/i0qVL+PzzzwH877rNESNGaH1u+/fvD0D7c0tERPS+4TBaonfI0NAQPj4+2L9/P27fvq1M/PFfOTg4oGLFipg+fXqmy52dnTWeZ3dW6d69e5mWZSS9Gf/evXtXq15UVBQMDAyUs5OmpqbKUMuXZfUjOrO47O3tNSZUyS5Oyh1WVlZwc3PD1atXlbKMYc5///03atasqZTfu3cPDx8+hLu7+zuP810rW7asMilQgwYNkJaWhhUrVmDLli3K/hk7dizat2+f6fq8vQkREb3veGaT6B0bO3YsRAR9+vTB8+fPtZanpKRg9+7dr9Vmy5Ytcf78eZQoUQLVqlXTeryabGbnl19+0bgp8q1bt3D8+HF4e3sDePED2MXFBQEBARr1EhISsHXrVmWGWgAoWrQo7t+/r5EsPn/+HAcOHNA5Hi8vLwQHB2skqOnp6di8ebPObdDb9fDhQ/z9998oWbKkUta0aVOYmppizZo1GnXXrFkDlUqFtm3bvtsg84A5c+bA1tYWEydORKlSpVCqVCn89ddfmX5mq1WrBisrq9wOmYiI6D/hmU2id6xWrVpYsmQJ+vfvj6pVq6Jfv34oX748UlJS8Oeff2LZsmVwd3dHq1atdG5zypQpOHjwIGrXro1BgwahTJkySE5ORmRkJPbt24elS5fqfBb1/v37aNeuHfr06YO4uDhMmjQJpqamGDt2LIAX10vOmTMHXbp0QcuWLfHll1/i2bNnmDt3Lh4/foxZs2YpbX366aeYOHEiPvvsM4wcORLJycn4/vvvkZaWpnPfxo8fj927d8PHxwfjx4+HmZkZli5dioSEBCUe0o/9+/cjISEBT58+BQBcvHgRW7ZsAfBiAqiUlBT4+vqic+fOKFWqFMzMzHD16lUsXLgQz549w6RJk5S27OzsMGHCBHzzzTews7ND48aNER4eDn9/f/Tu3fuDv8dmZmxtbTF27FiMGjUKAQEB+Omnn9CsWTM0adIEfn5+cHFxQWxsLC5duoQzZ85ke0BlypQpmDJlCg4fPgwvL6932AsiIqLXIESUK86ePSs9evSQIkWKiLGxsVhYWEjlypVl4sSJcv/+fRERcXV1lRYtWmit6+XlJV5eXhplDx48kEGDBkmxYsVErVaLnZ2dVK1aVcaPHy/x8fEiInLz5k0BIHPnztVqMyQkRADIunXrZNCgQZI/f34xMTGRevXqyalTp7Tq79ixQ2rWrCmmpqZiYWEhPj4+EhoaqlVv37594uHhIWZmZlK8eHH54YcfZNKkSfLqnx8AMmDAgEz31bFjx6RmzZpiYmIijo6OMnLkSJk9e7YAkMePH2e+g+m1ubq6CoBMHzdv3pTk5GTp3bu3lC1bViwtLcXIyEgKFSokXbt2lQsXLmTa5sKFC6V06dJibGwsRYoUkUmTJsnz58/fcc/erdWrVwsACQ8P11qWlJQkRYoUkVKlSklqaqr89ddf0qlTJylQoICo1WpxdHSUhg0bytKlS5V1MvvcZnyGQkJC3kWXiIhyRXx8fJbfS1k9Mn7zUN6gEnlpHBwR0XuicePGiIyM1LhOkIiIiD4cIoJ69erpfEu1OnXq4NixYx/FjOfvCw6jJaI8b9iwYahcuTIKFy6M2NhYbNiwAQcPHsTKlStzOzQiIiJ6S1QqFY4dO6Yxs3lycjLmz5+vPB8+fDhMTU0BAObm5kw08xgmm0SU56WlpWHixIm4d+8eVCoVypUrh3Xr1qFr1665HRoRERG9RSqVChYWFspzQ0NDGBsbK88tLCyUZJPyHiabRJTnLVy4EAsXLsztMIiIiIjoNXAaRyIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiIiIj0jskmERERERER6R2TTSIiIiIiItI7JptERERERESkd0w2iYiIiIiISO+YbBIREREREZHeMdkkIiIiIiIivWOySURERERERHrHZJOIiIiI8pyEhASoVCqoVCokJCTkdjhvzcfST/o4MdkkIiIiIiIivWOySURERERERHrHZJMol5w4cQIdO3aEk5MTjI2N4eTkhE6dOiE8PDy3Q3sroqKi4O/vj7Nnz+Z2KJSJ4OBg9OrVC25ubrCwsICLiwvatGmD06dPa9QTESxfvhxVq1aFtbU17O3t4eXlhb179+ZS5HlPfHw8hgwZAmdnZ5iamsLDwwMbN27Uad3bt29jyJAh8PLygo2NDVQqFdasWZNl/YSEBEycOBGlS5eGiYkJ7O3t0aBBA1y7dk2n7d24cQMmJiYICwvTKI+IiED79u1hY2MDS0tL+Pr64syZMzq1CQBnzpxBo0aNYGlpCRsbG7Rv3x4RERGZ1r116xZ69eoFZ2dnmJiYwMXFBe3atdN5W5k5dOgQatWqBXNzczg4OMDPzw/3799/7Xaio6Nhb28PlUqFLVu2ZFrn999/R/PmzWFrawszMzOUKlUKU6dO1ahTv359DBky5E26Qm8gOjoa06dPR+PGjVGrVi00btwYM2bMQHR0dG6HRvTRYbJJlAsWLVqEOnXq4Pbt25gzZw4OHTqEuXPn4t9//4WnpyeWLVuW2yHqXVRUFCZPnsxkM49asmQJIiMjMXjwYOzbtw8LFy7E/fv34enpieDgYKXepEmT0LdvX9SoUQNbt27FmjVrYGJigpYtW2Lbtm252IO8o3379li7di0mTZqE/fv3o3r16vj8888REBCQ47rXr1/Hhg0bYGxsjObNm2dbNz4+Ht7e3li5ciUGDhyIoKAgrF69GjVr1kRiYqJOsY4YMQK+vr6oVauWUvbgwQPUq1cPV69exapVq7Bp0yYkJyfD29sbV65cybHNy5cvw9vbG8+fP8emTZuwatUqXL16FfXq1cODBw806p4/fx5Vq1bF+fPnMW/ePBw8eBALFiyAra2tTvFn5ujRo2jWrBkKFiyInTt3YuHChTh06BB8fHzw7Nmz12prwIABMDU1zXJ5QEAAvLy8kC9fPvz888/Yt28fRo8eDRHRqDd16lQsXrxYp/1Hby4pKQl9+/ZF4cKFMWHCBBw8eBAnTpzAwYMHMX78eBQuXBhffvklkpOTcztUoo+HENE79fvvv4uBgYG0bNlSUlJSNJalpKRIy5YtxdDQUP74449civDtCA8PFwCyevXq3A6FMhEdHa1V9vTpUylYsKD4+PgoZS4uLlK3bl2NeklJSZIvXz5p3br1W48zr9u7d68AkICAAI1yX19fcXZ2ltTU1GzXT0tLU/6f02dm8ODBYmFhITdu3HijWC9evCgAJDAwUKN85MiRolarJTIyUimLi4sTBwcH6dSpU47tduzYURwcHCQuLk4pi4yMFLVaLaNGjVLK0tPTxcPDQzw8PCQ5OfmN+pCZ6tWrS7ly5TT+voaGhgoAWbx4sc7tbNmyRSwtLWXt2rUCQDZv3qyx/Pbt22JhYSH9+vXTqT13d3fp06ePztsnkfj4eAEgACQ+Pj7buomJieLl5aXUr1WrlixZskR27NghS5YsEU9PT2WZl5eXJCYmvqNe5Ox1+kkvvnMmTZqkPJKSknI7JMoGz2wSvWMzZ86ESqXCkiVLYGRkpLHMyMgIixcvVuoBgJ+fH4oWLarVjr+/P1QqlUaZiGDx4sXw8PCAmZkZbG1t8cknn2Q6fC3jSL+1tTXMzc1Rp04dHD58ONNtXLhwAZ9//jny5cuHggULolevXoiLi9Oou3nzZtSsWRP58uWDubk5ihcvjl69egEAjhw5gurVqwMAevbsqcy65+/vr6y/a9cuZdiblZUVfH19NYb2XbhwASqVCps3b1bKTp8+DZVKhfLly2vE0rp1a1StWlV5XrRoUbRs2RKBgYGoUqUKzMzM4ObmhlWrVmntl49VgQIFtMosLS1Rrlw5/Pvvv0qZWq1Gvnz5NOqZmpoqj4/d9u3bYWlpiY4dO2qU9+zZE1FRUTh58mS26xsY6Pa1nJiYiBUrVqBjx44oXrz4G8W6ZMkSODo6wtfXV6N8+/btaNiwIVxdXZUya2trtG/fHrt370ZqamqWbaampmLPnj3o0KEDrK2tlXJXV1c0aNAA27dvV8p+++03nD17FkOGDIGJickb9eFVd+7cQXh4OLp166bx97V27dooXbq0xvazExsbiwEDBmD69OkoUqRIpnVWrFiBhIQEjB49Wqc2u3XrhoCAADx9+lSn+vR6Bg8ejKNHj8La2hpBQUE4fvw4vvrqK7Rp0wZfffUVwsLCEBQUBGtraxw9epTDmoneESabRO9QWloaQkJCUK1aNRQqVCjTOoULF0bVqlVx6NAhpKenv1b7X375JYYMGYJGjRphx44dWLx4MS5cuIDatWtrXKuyfv16NG7cGNbW1li7di02bdoEOzs7NGnSRCvhBIAOHTqgdOnS2Lp1K8aMGYOAgAAMHTpUWR4WFoZPP/0UxYsXx8aNG7F3715MnDhR+VFapUoVrF69GgAwYcIEhIWFISwsDL179wbwYihamzZtYG1tjV9++QUrV67Eo0eP4O3tjd9//x0AUL58eTg5OeHQoUPKdg8dOgQzMzNcvHgRUVFRAF782D169CgaNWqk0Ye//voLw4cPx9ChQ7Fz505UrFgRX3zxBX777bfX2scfk7i4OJw5c0YjmR88eDACAwOV1+ju3bsYNmwY4uLiMGjQoFyMNm84f/48ypYtq3UgqWLFispyfTh9+jQSEhJQqlQp9OvXD7a2tjA2Nka1atV0vn527969qF+/vkaCm5SUhBs3bijxvtqHpKSkLK+9BF5cA5qUlJTl+tevX1eGMGZ89qysrNC8eXOYmprC0tISLVu2xOXLl3Xqw6sy9m9W29d1/w8aNAjFihXD119/nWWd3377DXZ2drh8+TI8PDxgZGSEAgUK4KuvvsKTJ0+06nt7eyMhIQFHjhzRrTOks3v37inXNm/ZskXrAEoGX19f5drb1atX8xpOonfAKOcqRKQvDx8+RGJiIooVK5ZtvWLFiuGPP/5AbGyszm2fOHECy5cvx/z58zFs2DClvF69eihdujQWLFiA2bNnIzExEYMHD0bLli01jvI3b94cVapUwbhx47TOvnzxxRcYOXIkAKBRo0a4fv06Vq1ahZUrV0KlUuH48eMQESxdulTjrJefnx+AF2dF3N3dAQAlSpSAp6enUic9PR0jR45EhQoVsH//fuWHb/PmzVGiRAmMHj0aoaGhAAAfHx+tZLNr167YsmULDh06hO7du+OPP/7AkydPtJLNhw8fIjQ0VDlLUb9+fRw+fBgBAQGoX7++zvv5YzJgwAAkJCRg/PjxStmQIUNgZmaGAQMGKAcL7OzssHv3btSpUye3Qs0zYmJiMj3TaGdnpyzXhzt37gAAZs+ejQoVKuDnn3+GgYEB5s+fj1atWmH//v1o0qRJluvfv38fERER6Nu3r0b5o0ePICJKvK/bh4xlWa0vInj06BGcnJyUPvTs2RMdO3bE3r17cffuXUyYMAH16tXDuXPn4OTklMOeeL3t67L/9+7di02bNuHMmTPZnmm+c+cOEhMT0bFjR4wdOxbfffcdwsPDMWnSJJw/fx7Hjh3TGH1SuXJlqFQqhIaGolWrVq/VLwIeP36MlJSUTJf98MMPSElJgaenZ5aJZgZfX1/UrFkTJ0+exA8//IDhw4e/jXBfC++tSR8yJptEeZD8/+QSrw6Tzc6ePXugUqnQtWtXjWFujo6OqFSpknI0/fjx44iNjUWPHj20hsM1bdoUc+bMQUJCAiwsLJTy1q1ba9SrWLEikpOTcf/+fRQsWFAZItupUyd88cUXqFOnDlxcXHSK+8qVK4iKisKQIUM0fthZWlqiQ4cO+Omnn5CYmAhzc3P4+Phg/fr1uHnzJpycnPD777+jX79+iImJwcGDB9G9e3ccOnQIJiYmqFu3rsZ2PDw8NIbDmZqaonTp0rh165ZOcX5svvnmG2zYsAGLFi3SGJK8evVqDB48GF9//TWaNWuG58+f4+eff0abNm2wbdu2bBOcj0V2n9vX+UxnJ2PUg7GxMfbv3w8rKysAQIMGDZTZULN7LTJGAmQ2fDqnOHXpgy7rZ/ShVq1aWLFihbLc3d0dlStXxo8//ohp06bluK3X2X5OscfFxeHLL7/E6NGjlQNkWUlPT0dycjImTZqEMWPGAHhx9tLY2BhDhgzB4cOHNQ56qdVq2NjYKEk2vZ6sRgO9rEePHjq15efnh5MnT2LatGlv/B4j+r/27j0oyuuM4/hvuQnrZQSpIipocDRaIHZKFIoRFe2IGuN1mqSpFjNJo3XUmbZGm8TLmI6X2tG00c6kSdUUpVPvtt4phFqU1NjOFBPqNBanxWu0OAEvicDTP5zdurIi6gsL8v3M7B+ePWf3OYcD7rPnfc9Bw3AZLdCEoqOj5Xa7VVZWVm+906dPKyIiQp06dWrwa1+4cEFmpi5duig0NNTnUVxcrEuXLnnrSdLkyZPr1FuxYoXMrM6K6p1xeO6vun79uqRbq4Q7d+5UdXW1pk6dqu7duysxMVG5ubn3jNuz0uBvBSM2Nla1tbWqqKiQJO8Ht7y8PP35z3/WzZs3NXz4cI0YMcJ7+W9eXp7S09MVERFRbx88/fD0Af+3ZMkSvfnmm/rJT37icxlhRUWFd0Vz1apVyszMVFZWlnJzc/Xkk0/qlVdeCWDUzUOnTp38rp55fqf8rbg96PtIt+5F9CSakuR2u5WRkXHPY0o88/7O+2wjIyPlcrkeuA+euO7W3uVyqWPHjj5170yKBwwYoK5du97XUSsNff97jf9rr72m0NBQzZo1S1euXNGVK1dUVVUl6dZ9sleuXPF+GXi3+LOysiTJb/zh4eH8zWlEDV0Jj4mJaeRIAHiwsgk0oeDgYA0fPlz79u1TeXm5329qy8vLdfz4cY0aNUrSrQ8n/rbr9ySPHtHR0XK5XDp8+LDfzTY8ZdHR0ZJuHb9y++Wst+vSpcv9dUzSM888o2eeeUZffPGFiouLtWzZMj3//PPq2bOnz7EKd/J8YDt37lyd586ePaugoCDvMQjdu3dXnz59lJeXp549eyolJUUdO3ZUZmamZs6cqQ8//FDFxcVasmTJfcePW5YsWaLFixdr8eLF+vGPf+zz3MmTJ3X9+nXvSvbtUlJSVFhYqKqqKrVr166pwm12kpKSlJubq+rqap/7NktKSiTpnqtlDeXvnkQPM7vnRkOevwN3frEUERGh3r17e+O9XUlJiSIiIurdkCghIUERERF3bd+7d29vgvuwffDHM74lJSV1jo4pKSm55/ifOHFCp0+f9puMeFbNKioq1LFjRyUnJ6u4uNhv7JL/zZ4qKiq8Yw/n+ft/xJ/z5883ciQAPFjZBJrY/PnzZWaaOXOmampqfJ6rqanRjBkzVFNTozlz5ki6tZPqxYsXfTYy+PLLL3XgwAGftmPHjpWZ6cyZM0pJSanzSEpKkiSlp6erY8eO+uSTT/zWS0lJUVhY2AP3r02bNsrIyNCKFSskSX/729+85ZLqfKvft29fdevWTZs3b/Y5m+7q1avatm2bd4dajxEjRig/P1+HDh3y3pvTp08fxcXFaeHChbp582ad+zXRMEuXLtXixYv1+uuva9GiRXWej42NlaQ6H7DNTMXFxYqMjPS5/Lo1mjBhgqqqqrRt2zaf8o0bNyo2NlaDBg1y5H26du2qtLQ0FRUV+WxGc+3aNRUWFt71iySP+Ph4RURE6NSpU377kJ+f77MLcWVlpbZv365x48bV2fzodiEhIXr66ae1fft2n11X//3vf6ugoEATJ070lmVlZcntdmvfvn0+r/HXv/5V58+fv2cf/OnWrZsGDhyonJwcn7+vxcXFOnnypM/7+7NmzRoVFBT4PFavXi3p1u7cBQUF3i9TJk2aJEl14t+7d68k1Yn/7NmzunHjhvr373/f/cKtL2IrKir8Pjz3lW/cuLFBr+XZTOj111+/62s25aO8vLyxhg0IvAActwK0ej//+c/N5XJZamqq5eTk2J/+9CfLycmxtLQ0k2SLFy/21v3Xv/5loaGhNnToUNuzZ49t27bNMjIyrFevXnbnr/DLL79sbrfbfvSjH9nvf/97y8/Pt02bNtmMGTN8zpf7zW9+Y0FBQfatb33LtmzZYoWFhbZ161Z744037JVXXvHWW7RokUmyzz77zOd91q9fb5KsrKzMzMzeeOMNy87OtpycHPvggw9s586dNmzYMAsNDbUTJ06YmdnVq1ctIiLC0tPTraCgwI4dO2ZnzpwxM7NNmzaZJBs9erTt2rXLfve739mTTz5pYWFhdvjwYZ/33rZtm/c8ssLCQm95dna2SbLIyEifswrNzOLj423MmDF1fg4ZGRmWkZFxrx9Xq7Bq1SqTZKNGjbKjR4/WeXhMnDjRgoKCbM6cOXbgwAHbvXu3TZo0ySTZ0qVLA9iD5mPkyJEWGRlp77zzjuXn59tLL71kkiwnJ8en3vTp0y04ONjnPEszsy1bttiWLVtsxYoVJsm+//3ve8tuV1RUZGFhYZaammo7duywnTt32lNPPWWhoaF25MiRe8Y5fPhwS0tLq1N+8eJF69q1qyUlJdmOHTts7969NmTIEGvfvr2Vlpb61E1ISLCEhASfstLSUmvXrp0NGTLE9u7da9u3b7fExESLjY21ixcv+tT1zLtp06bZ/v37bcOGDdajRw+Li4uzy5cve+uVlZV5691LQUGBhYSE2IQJE+zQoUO2adMm69GjhyUmJvqc53n69GkLDg626dOn3/P15OecTTOzp59+2tq0aWNLly61Q4cO2bJlyyw8PNzGjh1bp67nb9ff//73e/YBtzT0/Mlz585ZaGioSbKDBw/W+5oHDx40SRYaGmrnz593OuQHwjmb94dzNlsWkk0gQI4cOWKTJk2yLl26WFBQkEmy8PBw27NnT526e/futQEDBlhERIQ99thj9vbbb3sTwTv9+te/tkGDBlnbtm0tIiLCEhISbOrUqfbRRx/51CssLLQxY8ZYVFSUhYaGWrdu3WzMmDE+H6gammz+4Q9/sKysLOvWrZuFhYVZ586dbfTo0XUSxdzcXHv88ce9HwoWLVrkfW7nzp02aNAgCw8Pt7Zt21pmZqYVFRXV6V9FRYUFBQVZ27Zt7csvv/SWexLWiRMn1mlDsnlvtx+G7u/hcf36dfvpT39qycnJ1r59e4uKivJ+aVJbWxvAHjQflZWVNnv2bIuJibGwsDBLTk623NzcOvWmTZvm83vk0ZCfg8fhw4ctIyPD3G63ud1uGz58uN/fG3/ee+89Cw4OtrNnz9Z57tNPP7Xx48dbhw4dzO12W2Zmph0/frxOvfj4eIuPj69T/tFHH1lmZqa53W7r0KGDjR8/3j799FO/cfzqV7+yxMRECwsLs06dOtm3v/1t+89//uNTp6SkxCTZ/PnzG9S3gwcPWmpqqoWHh1tUVJRNnTrVLly44FOnoQlsfcnmtWvX7NVXX7UePXpYSEiIxcXF2YIFC3ySWo/vfOc7lpSU1KD4ccv9JGGeL3U6dOhw14Tz4MGD1qFDB5NkL7/8cmOE/EBINu8PyWbL4jK77bo1AAHz/vvva9q0aZo3b573ElQAaCw3btxQXFycfvCDH+jVV18NdDj1WrdunebNm6dTp0490D3lgfb5558rNjZWq1ev1ksvvRTocFqMq1evei9brqqqqvcy/evXrysrK0uFhYWSbl3GPG3aNMXExHjP4fQc65WRkaH9+/fX2SArUO6nn7j1t2v58uXef8+fP7/Z/CxRFxsEAc3E1KlTde7cOc2fP19t27bVwoULAx0SgEdYeHi4d0OoWbNmNesPuAUFBZo9e3aLTDQlafXq1YqLi1N2dnagQ3lkRUREaN++fZo7d67Wr1+v4uLiOveXh4aGKjs7W2+99RbJCdBEWNkEAKCVqqmp0cqVKzV27FjvJmJw3urVq5Wenq6BAwcGOpQW5UFX/C5cuKD33ntPH3zwgSorK9W+fXsNHTpUL774YrP8woKVzfvDymbLQrIJAACAZqe1JGGtpZ9OIdlsWTj6BAAAAADgOO7ZBAAAQLPTtm1btYYL8FpLP9E6sbIJAAAAAHAcySYAAAAAwHEkmwAAAAAAx5FsAgAAAAAcR7IJAAAAAHAcySYAAAAAwHEkmwAAAAAAx5FsAgAAAAAcR7IJAAAAAHAcySYAAAAAwHEkmwAAAAAAx5FsAgAAAAAcR7IJAAAAAHAcySYAAAAAwHEkmwAAAAAAx5FsAgAAAAAc5zIzC3QQAAAAaH3GjRunU6dOBToMtCBmpkuXLnn/HR0dLZfLFcCImp+EhATt3r070GFIItkEAABAgLRv3143b95UQkJCoENpdjxJOGNTF2Nzd6dOnVJoaKgqKysDHYokKSTQAQAAAKB1iouLkyR9/PHHAY6k+fnqV78qibHxh7G5O8/YNBfcswkAAAAAcBzJJgAAAADAcSSbAAAAAADHkWwCAAAAABxHsgkAAAAAcBxHnwAAAAAAHMfKJgAAAADAcSSbAAAAAADHkWwCAAAAABxHsgkAAAAAcBzJJgAAAADAcSSbAAAAAADHkWwCAAAAABxHsgkAAABHVVVVae7cuYqNjVV4eLgGDBig3/72tw1qe/HiRX33u99VdHS03G630tLS9Mc//rGRI246Dzo2GzZskMvl8vs4f/58E0TeuCorKzVv3jx985vf1Fe+8hW5XC4tXry4we0f5XnzMGMT6HkT0ujvAAAAgFZl4sSJOnbsmJYvX64+ffpo8+bNeu6551RbW6vnn3/+ru2++OILZWZm6sqVK3rrrbfUuXNnrV27VqNGjVJeXp4yMjKasBeN40HHxmP9+vV6/PHHfco6derUWOE2mcuXL+udd97RE088ofHjx+vdd99tcNtHfd48zNh4BGzeGAAAAOCQPXv2mCTbvHmzT/nIkSMtNjbWqqur79p27dq1JsmOHDniLbt586b179/fBg4c2GgxN5WHGZv169ebJDt27FhjhxkQtbW1Vltba2Zmn332mUmyRYsWNajtoz5vHmZsAj1vuIwWAAAAjtmxY4fatWunKVOm+JRnZ2fr7Nmz+vDDD+tt27dvX6WlpXnLQkJC9MILL+gvf/mLzpw502hxN4WHGZtHnefSzgfxqM+bhxmbQCPZBAAAgGNOnDihfv36KSTE926t5ORk7/P1tfXU89f2448/djDSpvcwY+MxduxYBQcHKyoqShMnTmxQm0fdoz5vnBCoecM9mwAAAHDM5cuX9dhjj9Upj4qK8j5fX1tPvftt2xI8zNjExMTotddeU2pqqjp06KCSkhItX75cqampKioq0hNPPNFocTd3j/q8eRiBnjckmwAAAHBUfZf83etywIdp2xI8aP9GjRqlUaNGef89ZMgQjRkzRklJSVq4cKF27drlaJwtzaM+bx5UoOcNl9ECAADAMZ06dfK7kvTf//5XkvyuQDnRtiVwun89e/bU4MGDVVxc7Eh8LdWjPm+c1pTzhmQTAAAAjklKSlJpaamqq6t9yktKSiRJiYmJ9bb11Lvfti3Bw4zN3ZiZgoJa90f6R33eNIammjete2YCAADAURMmTFBVVZW2bdvmU75x40bFxsZq0KBB9bb9xz/+4bMra3V1tXJycjRo0CDFxsY2WtxN4WHGxp+ysjIVFRUpNTXVyTBbnEd93jitKecN92wCAADAMVlZWRo5cqRmzJihzz//XL1791Zubq7279+vnJwcBQcHS5JefPFFbdy4UadOnVJ8fLwkafr06Vq7dq2mTJmi5cuXq3Pnzlq3bp1OnjypvLy8QHbLEQ8zNiNGjNCQIUOUnJzs3ehl5cqVcrlcWrp0aSC75Zh9+/bp6tWrqqyslCR98skn2rp1qyRp9OjRcrvdrXLeSA8+NgGfNwE53RMAAACPrMrKSps9e7bFxMRYWFiYJScnW25urk+dadOmmSQrKyvzKT9//rxNnTrVoqKiLDw83FJTU+3QoUNNGH3jetCxmTt3rvXv39/at29vISEhFhsbay+88IKdPHmyiXvQeOLj402S34dnLFrrvHnQsQn0vHGZmTV+SgsAAAAAaE24ZxMAAAAA4DiSTQAAAACA40g2AQAAAACOI9kEAAAAADiOZBMAAAAA4DiSTQAAAACA40g2AQAAAACOI9kEAAAAADiOZBMAAAAA4DiSTQAAAACA40g2AQAAgFauuLhYU6ZMUdeuXRUWFqaYmBhNnjxZR48e9am3YcMGuVwu7yMkJERdu3bVs88+q3/+858Bih7NFckmAAAA0Ir94he/UHp6usrLy7Vy5Url5eVp1apVOnPmjAYPHqy33367Tpv169fr6NGjysvL06xZs7R7924NHjxYFRUVAegBmquQQAcAAAAAIDCKioo0d+5cjR49Wjt27FBIyP/Tg2effVYTJkzQnDlz9LWvfU3p6ene5xITE5WSkiJJGjp0qGpqarRo0SLt3LlT2dnZTd4PNE+sbAIAAACt1LJly+RyufTLX/7SJ9GUpJCQEK1bt04ul0vLly+v93U8ieeFCxcaLVa0PCSbAAAAQCtUU1OjgoICpaSkqHv37n7r9OjRQ1//+teVn5+vmpqau75WWVmZJKlPnz6NEitaJpJNAAAAoBW6dOmSrl27pl69etVbr1evXrp27ZouX77sLaupqVF1dbWqqqp04MABvfnmmxoyZIjGjRvX2GGjBeGeTQAAAAB3ZWaSJJfL5S1LTU31qdOvXz/t2rWrzqW4aN1Y2QQAAABaoejoaLndbu8lsHdz+vRpud1uRUVFecvef/99HTt2TPn5+fre976n0tJSPffcc40dMloYvnoAAAAAWqHg4GANGzZM+/fvV3l5ud/7NsvLy3X8+HFlZWUpODjYW96vXz/vpkDDhg1TTU2N3n33XW3dulWTJ09usj6geWNlEwAAAGilFixYIDPTzJkz62wAVFNToxkzZsjMtGDBgnpfZ+XKlYqMjNTChQtVW1vbmCGjBSHZBAAAAFqp9PR0rVmzRnv27NHgwYO1adMmHT58WJs2bdJTTz2lvXv3as2aNfrGN75R7+tERkZqwYIFKi0t1ebNm5soejR3LvPc8QsAAACgVSouLtbPfvYzHT58WJcvX1ZUVJQGDx6sH/7wh0pLS/PW27Bhg7Kzs3Xs2DHvZbQeN27cUN++fdWmTRuVlpb6XHaL1olkEwAAAADgOC6jBQAAAAA4jmQTAAAAAOA4kk0AAAAAgONINgEAAAAAjiPZBAAAAAA4jmQTAAAAAOA4kk0AAAAAgONINgEAAAAAjiPZBAAAAAA4jmQTAAAAAOA4kk0AAAAAgONINgEAAAAAjiPZBAAAAAA4jmQTAAAAAOA4kk0AAAAAgONINgEAAAAAjiPZBAAAAAA47n93XD3X1KkE+wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1050x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.SimpleForestPlot(ratio=(8,3), dpi=150, figsize=(7,3), df=df)\n",
    "fp.errorbar(errorbar_kwds=None)\n",
    "fp.ax2.set_xlim([0, 1.5])\n",
    "fp.ax2.set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.ax2.set_xlabel(\"OR\")\n",
    "fp.ax2.axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.ax1.set_xlim([0.15, 1])\n",
    "fp.embed_strings(\"category\", 0.1, header=\"Category\", \n",
    "                 duplicate_hide=True, \n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\")\n",
    "                 )\n",
    "fp.embed_strings(\"item\", 0.36, header=\"\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(\"nobs\", 0.60, header=\"N\")\n",
    "fp.embed_strings(\"risk_pretty\", 0.72, header=\"OR (95% CI)\")\n",
    "fp.horizontal_variable_separators()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fba8d85b-257c-4ca1-8acd-ffd5dfef1b9b",
   "metadata": {},
   "source": [
    "If vertical_align=True, category values can be aligned \n",
    "just above item values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5622ce6d-aa38-4e11-a300-f893c9decc99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.SimpleForestPlot(ratio=(8,3), dpi=150, figsize=(5,3), \n",
    "                        df=df, vertical_align=True)\n",
    "fp.errorbar(errorbar_kwds=None)\n",
    "fp.ax2.set_xlim([0, 1.5])\n",
    "fp.ax2.set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.ax2.set_xlabel(\"OR\")\n",
    "fp.ax2.axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.ax1.set_xlim([0.35, 1])\n",
    "fp.embed_cate_strings(\"category\", 0.30, header=\"Category\", \n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\"),\n",
    "                 )\n",
    "fp.embed_strings(\"item\", 0.36, header=\"\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(\"nobs\", 0.60, header=\"N\")\n",
    "fp.embed_strings(\"risk_pretty\", 0.72, header=\"OR (95% CI)\")\n",
    "fp.horizontal_variable_separators()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5cd2a0d3-dd93-49b6-bf23-40b7b733f181",
   "metadata": {},
   "source": [
    "\"All participants\" row can be manually set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "dbf1cc59-fdae-41e1-9582-e0f6974003f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 750x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.SimpleForestPlot(ratio=(8,3), dpi=150, figsize=(5,3),\n",
    "                        df=df, vertical_align=True)\n",
    "fp.errorbar(errorbar_kwds=None)\n",
    "fp.ax2.set_xlim([0, 1.5])\n",
    "fp.ax2.set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.ax2.set_xlabel(\"OR\")\n",
    "fp.ax2.axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.ax1.set_xlim([0.35, 1])\n",
    "y_header=1.7\n",
    "fp.embed_cate_strings(\"category\", 0.30, header=\"Category\", \n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\"),\n",
    "                 y_header=y_header\n",
    "                 )\n",
    "fp.embed_strings(\"item\", 0.36, header=\"All participants\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(\"nobs\", 0.60, header=\"N\", y_header=y_header)\n",
    "fp.ax1.text(0.60, 0.8, \"712\")\n",
    "fp.embed_strings(\"risk_pretty\", 0.72, header=\"OR (95% CI)\", y_header=y_header)\n",
    "fp.horizontal_variable_separators()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d0ecc08-2049-4895-a784-f9d2ede35e05",
   "metadata": {},
   "source": [
    "## Customize your forestplot\n",
    "SimpleForestPlot is a simplized version of forestplot with one text and figure field. ForestPlot can customize multiple text and figure fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "169dc6d0-a47e-4d6a-bcb5-0ed312ab5eb1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 900x450 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"font.size\"] = 8\n",
    "fp = mfp.ForestPlot(df=df, \n",
    "                    ratio=[5,5,3], \n",
    "                    fig_ax_index=[2],  \n",
    "                    dpi=150, \n",
    "                    figsize=(6,3), \n",
    "                    yticks_show=False,\n",
    "                    vertical_align=True)\n",
    "fp.errorbar(index=2, errorbar_kwds=None)\n",
    "fp.axd[2].set_xlim([0, 1.5])\n",
    "fp.axd[2].set_xticks([0, 0.5, 1, 1.5])\n",
    "fp.axd[2].set_xlabel(\"OR\")\n",
    "fp.axd[2].axvline(x=1, ymin=0, ymax=1.0, color=\"black\", alpha=0.5)\n",
    "\n",
    "fp.axd[1].set_xlim([0.50, 1])\n",
    "fp.embed_cate_strings(1, \"category\", 0.5, header=\"Category\",\n",
    "                 text_kwds=dict(fontweight=\"bold\"),\n",
    "                 header_kwds=dict(fontweight=\"bold\"),\n",
    "                 )\n",
    "fp.embed_strings(1, \"item\", 0.55, header=\"\", replace={\"age\":\"\"})\n",
    "fp.embed_strings(1, \"nobs\", 0.86, header=\"N\")\n",
    "fp.embed_strings(3, \"risk_pretty\", 0.1, header=\"OR (95% CI)\")\n",
    "fp.horizontal_variable_separators()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "688168c1-7b31-4ff5-8619-6a9b663734e8",
   "metadata": {
    "jp-MarkdownHeadingCollapsed": true,
    "tags": []
   },
   "source": [
    "You can see various patterns of forestplot in [Gallery page](https://toshiakiasakura.github.io/myforestplot/notebooks/2_gallery.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4d74049-cab3-468b-ab07-0bdd0b5baa64",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
