2. Do basic descriptive analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Do basic descriptive analysis\n",
    "\n",
    "We wanted to analyse how many Parlimentary written questions could not be answered because the department did not have the requisite data, and what those questions were about.\n",
    "\n",
    "We first obtained text for all the written answers in the current Parliament from TheyWorkForYou. \n",
    "\n",
    "In this notebook:\n",
    "\n",
    "- we perform high-level analysis on this data to get a sense of how many questions are asked, who asks them, and how many of them are quantitative\n",
    "- we identify common strings that may indicate questions that could not be answered due to lack of data\n",
    "- we write these questions to separate files for manual review. \n",
    "\n",
    "We subsequently reviewed these questions manually, to see which of these questions were truly unanswered, and what themes recurred for each Department.\n",
    "\n",
    "NB: The text of Hansard answers remains under [Parliamentary copyright](https://www.parliament.uk/site-information/copyright-parliament/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "203938"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('./data/output/questions_with_flags.csv', low_memory=False)\n",
    "len(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examine question frequency over time\n",
    "\n",
    "These largely seem to follow the [patterns of Parliamentary recess](https://www.parliament.uk/about/faqs/house-of-commons-faqs/business-faq-page/recess-dates/).\n",
    "\n",
    "Note that a small number of questions were submitted prior to the period, but only answered later - this doesn't matter for the purpose of our analysis. Note also that this dataset only contains answered questions, there may be others that haven't been answered yet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.date_submitted = pd.to_datetime(df.date_submitted)\n",
    "df.date_answered = pd.to_datetime(df.date_answered)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Count of questions answered by month'}, xlabel='date_answered,date_answered'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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29vZo0aKFUcvntE/yol+rEfNl+7whInoWFuJERBrz5ptvYtq0adi5cyciIiJybRscHIyMjAycPn1aObIMAElJSbh16xaCg4OVaV5eXlmu7pyWloYrV648d66mfAEQHByMdevW4fbt2wZHxU+cOKHMN1XmMqdPnzY4jfbatWtZjqRlHmG7deuWwa3Rnj7SnHmKtY+Pj3JENDdFixbF559/js8//xynT59GhQoVMHbsWMybNw+A8dsoc11OnjyJevXqGcw7efLkc20fALC3t0eTJk3QpEkTZGRkoHv37vjpp58wcODALGdSZPr111/h6OiI1atXw8HBQZkeFxf3XDlk8vf3R/fu3dG9e3dcvXoVlSpVwrfffqsU4q+99hrs7e2xdetWbN26Fb179wbw+J7r06dPx/r165XnmYoWLYp169ahevXqz30bsqJFi+LOnTvP3N/BwcFYv3497ty5Y3BU/OTJkya93unTp1G3bl3l+Z07d3DlyhU0btzYoF3btm3Rq1cvXLlyBQsWLEB0dPRzn+lhrEKFCsHZ2TnbdTpx4gT0en2Wo+rGeJEvC4mIXkY8NZ2ISGP69OkDFxcXdO7cGUlJSVnmnz17Vrn9VOYf7j/88INBm++//x7A498XZypatKjyW9dM06ZNy/GIuDFcXFyMvnVT48aNkZ6ejh9//NFg+rhx46DT6ZRizBSRkZGws7PDxIkTDY6cPb09gP8rsJ/cBnfv3s1yZDgqKgru7u4YPnx4trePyryl0r179/DgwYMsr+Hm5mZw6zhjt1HlypXh4+ODqVOnGiy/cuVKHD9+3GBfGuv69esGz/V6PcqVKwcAWW5v9yQbGxvodDqD98aFCxfw+++/m5wD8Pisg6dPaffx8UFAQIBBHo6OjqhSpQr+97//ISEhweCI+P379zFhwgQULVrU4LZ+LVq0QHp6OoYNG5bldR89emTUtm/RogV27tyJ1atXZ5l369YtPHr0CMDj9/CjR48wZcoUg3WbOHHiM1/jSdOmTTN4b02ZMgWPHj3K0gdatWoFnU6Hzz77DOfOncOHH35o0us8DxsbGzRo0AB//PGHwanySUlJWLBgAWrUqKH8hMYUpnxWEBFZAx4RJyLSmKJFi2LBggV4//33UapUKbRt2xZlypRBWloaduzYgSVLlij3xy5fvjzatWuHadOm4datW6hduzb27NmDOXPmoGnTpgZH3Tp37oxu3bqhefPmqF+/Pg4dOoTVq1ejYMGCz51reHg4pkyZgm+++QbFihWDj49PlqO5mZo0aYK6deviq6++woULF1C+fHmsWbMGf/zxB3r27GlwsS9jZd47e8SIEXjzzTfRuHFjHDhwACtXrsyyXg0aNEDhwoXRqVMn9O7dGzY2Npg1axYKFSqEhIQEpZ27uzumTJmCNm3aoFKlSmjZsqXSZvny5ahevTp+/PFHnDp1Cm+88QZatGiBsLAw2Nra4rfffkNSUpLBRbKM3UZ2dnYYNWoUOnTogNq1a6NVq1ZISkrC+PHjERISgtjYWJO3T+fOnXHjxg3Uq1cPgYGBuHjxIiZOnIgKFSoYnEHxtOjoaHz//fdo2LAhPvjgA1y9ehWTJk1CsWLF8Pfff5ucx+3btxEYGIh3330X5cuXh6urK9atW4e9e/di7NixBm1r1qyJkSNHwsPDA2XLlgXwuGgvUaIETp48aXBveACoXbs2unbtihEjRuDgwYNo0KAB7OzscPr0aSxZsgTjx4/Hu+++m2t+vXv3xp9//ok333wT7du3R3h4OO7evYvDhw/jl19+wYULF1CwYEE0adIE1atXR79+/XDhwgWEhYVh6dKl2f5uPjdpaWnKe+fkyZOYPHkyatSogbfeesugXaFChdCwYUMsWbIEnp6ez/VlzPP45ptvsHbtWtSoUQPdu3eHra0tfvrpJ6SmpmL06NHPFdOUzwoiIqtguQu2ExFRbk6dOiUfffSRhISEiL29vbi5uUn16tVl4sSJ8uDBA6Xdw4cPZciQIRIaGip2dnYSFBQk/fv3N2gj8viWSH379pWCBQuKs7OzREVFyZkzZ3K8fdnevXsNls/uvteJiYkSHR0tbm5uAuCZtzK7ffu2xMbGSkBAgNjZ2cmrr74qY8aMMbhtkYjxty/LXK8hQ4aIv7+/ODk5SZ06deTIkSNZ1ktEJD4+XqpWrSr29vZSuHBh+f7777O9j3jm+kZFRYmHh4c4OjpK0aJFpX379rJv3z4REfnvv/8kJiZGSpYsKS4uLuLh4SFVq1aVxYsXG8TJaRtltz1FRBYtWiQVK1YUBwcHKVCggLRu3Vr++ecfgzbt2rUTFxeXLNvi6Vu0/fLLL9KgQQPx8fFR1rlr165y5cqVZ27XmTNnyquvvioODg5SsmRJiYuLy/YWcACyvS3Zk9s/NTVVevfuLeXLlxc3NzdxcXGR8uXLG9zzPNPy5csFgDRq1MhgeufOnQWAzJw5M9t8p02bJuHh4eLk5CRubm5StmxZ6dOnj1y+fNkgp+jo6GyXv337tvTv31+KFSsm9vb2UrBgQXn99dflu+++M7jV2PXr16VNmzbi7u4uHh4e0qZNGzlw4IBJty/bvHmzdOnSRby8vMTV1VVat24t169fz3aZxYsXCwDp0qVLrrGflFP/yWn9s9uH+/fvl6ioKHF1dRVnZ2epW7eu7NixI9v1eZHPClNiEBG9THQivAoGERG9fEJCQlCnTh3Mnj3b0qkQPbc//vgDTZs2xZYtWwwuUkdERPkbfyNOREREpFHTp09HkSJFUKNGDUunQkREKuJvxImIiIg0ZuHChfj777+xfPlyjB8/nlcdJyJ6ybAQJyIiItKYVq1awdXVFZ06dUL37t0tnQ4REamMvxEnIiIiIiIiMiP+RpyIiIiIiIjIjFiIExEREREREZnRS/sb8YyMDFy+fBlubm68wAkRERERERHlORHB7du3ERAQAL0+5+PeL20hfvnyZQQFBVk6DSIiIiIiIrIyly5dQmBgYI7zX9pC3M3NDcDjDeDu7m7hbIiIiIiIiOhll5KSgqCgIKUezYlJhXhISAguXryYZXr37t0xadIkPHjwAJ9//jkWLlyI1NRUREVFYfLkyfD19VXaJiQk4OOPP8bGjRvh6uqKdu3aYcSIEbC1/b9UNm3ahF69euHo0aMICgrCgAED0L59e1NSVU5Hd3d3ZyFOREREREREZvOsn0ebdLG2vXv34sqVK8pj7dq1AID33nsPABAbG4u//voLS5YswebNm3H58mU0a9ZMWT49PR3R0dFIS0vDjh07MGfOHMyePRuDBg1S2pw/fx7R0dGoW7cuDh48iJ49e6Jz585YvXq1KakSERERERERadIL3Ue8Z8+eWLZsGU6fPo2UlBQUKlQICxYswLvvvgsAOHHiBEqVKoWdO3eiWrVqWLlyJd58801cvnxZOUo+depU9O3bF9euXYO9vT369u2L5cuX48iRI8rrtGzZErdu3cKqVauMzi0lJQUeHh5ITk7mEXEiIiIiIiLKc8bWoc99+7K0tDTMmzcPHTt2hE6nQ3x8PB4+fIjIyEilTcmSJVG4cGHs3LkTALBz506ULVvW4FT1qKgopKSk4OjRo0qbJ2NktsmMkZPU1FSkpKQYPIiIiIiIiIi05rkL8d9//x23bt1SfrudmJgIe3t7eHp6GrTz9fVFYmKi0ubJIjxzfua83NqkpKTg/v37OeYzYsQIeHh4KA9eMZ2IiIiIiIi06LkL8ZkzZ6JRo0YICAhQM5/n1r9/fyQnJyuPS5cuWTolIiIiIiIioiye6/ZlFy9exLp167B06VJlmp+fH9LS0nDr1i2Do+JJSUnw8/NT2uzZs8cgVlJSkjIv89/MaU+2cXd3h5OTU445OTg4wMHB4XlWh4iIiIiIiMhsnuuIeFxcHHx8fBAdHa1MCw8Ph52dHdavX69MO3nyJBISEhAREQEAiIiIwOHDh3H16lWlzdq1a+Hu7o6wsDClzZMxMttkxiAiIiIiIiLKz0wuxDMyMhAXF4d27doZ3Pvbw8MDnTp1Qq9evbBx40bEx8ejQ4cOiIiIQLVq1QAADRo0QFhYGNq0aYNDhw5h9erVGDBgAGJiYpSj2d26dcO5c+fQp08fnDhxApMnT8bixYsRGxur0ioTERERERERWY7Jp6avW7cOCQkJ6NixY5Z548aNg16vR/PmzZGamoqoqChMnjxZmW9jY4Nly5bh448/RkREBFxcXNCuXTsMHTpUaRMaGorly5cjNjYW48ePR2BgIGbMmIGoqKjnXEUiohcX0m+5Ue0ujIx+diMiIiIismovdB9xLeN9xIlITSzEiYiIYwERPUue30eciIiIiIiIiEzHQpyIiIiIiIjIjFiIExEREREREZkRC3EiIiIiIiIiM2IhTkRERERERGRGLMSJiIiIiIiIzIiFOBEREREREZEZsRAnIiIiIiIiMiMW4kRERERERERmxEKciIiIiIiIyIxYiBMRERERERGZEQtxIiIiIiIiIjNiIU5ERERERERkRizEiYiIiIiIiMyIhTgRERERERGRGbEQJyIiIiIiIjIjFuJEREREREREZsRCnIiIiIiIiMiMWIgTERERERERmRELcSIiIiIiIiIzYiFOREREREREZEYmF+L//vsvPvzwQ3h7e8PJyQlly5bFvn37lPkigkGDBsHf3x9OTk6IjIzE6dOnDWLcuHEDrVu3hru7Ozw9PdGpUyfcuXPHoM3ff/+NmjVrwtHREUFBQRg9evRzriIRERERERGRdphUiN+8eRPVq1eHnZ0dVq5ciWPHjmHs2LHw8vJS2owePRoTJkzA1KlTsXv3bri4uCAqKgoPHjxQ2rRu3RpHjx7F2rVrsWzZMmzZsgVdunRR5qekpKBBgwYIDg5GfHw8xowZg8GDB2PatGkqrDIRERERERGR5dia0njUqFEICgpCXFycMi00NFT5v4jghx9+wIABA/D2228DAObOnQtfX1/8/vvvaNmyJY4fP45Vq1Zh7969qFy5MgBg4sSJaNy4Mb777jsEBARg/vz5SEtLw6xZs2Bvb4/SpUvj4MGD+P777w0KdiIiIiIiIqL8xqQj4n/++ScqV66M9957Dz4+PqhYsSKmT5+uzD9//jwSExMRGRmpTPPw8EDVqlWxc+dOAMDOnTvh6empFOEAEBkZCb1ej927dyttatWqBXt7e6VNVFQUTp48iZs3bz7fmhIRERERERFpgElHxM+dO4cpU6agV69e+PLLL7F37158+umnsLe3R7t27ZCYmAgA8PX1NVjO19dXmZeYmAgfHx/DJGxtUaBAAYM2Tx5pfzJmYmKiwanwmVJTU5Gamqo8T0lJMWXViIiIKJ8K6bfcqHYXRkbncSZERETGMakQz8jIQOXKlTF8+HAAQMWKFXHkyBFMnToV7dq1y5MEjTVixAgMGTLEojkQERERERERPYtJp6b7+/sjLCzMYFqpUqWQkJAAAPDz8wMAJCUlGbRJSkpS5vn5+eHq1asG8x89eoQbN24YtMkuxpOv8bT+/fsjOTlZeVy6dMmUVSMiIiIiIiIyC5MK8erVq+PkyZMG006dOoXg4GAAjy/c5ufnh/Xr1yvzU1JSsHv3bkRERAAAIiIicOvWLcTHxyttNmzYgIyMDFStWlVps2XLFjx8+FBps3btWpQoUSLb09IBwMHBAe7u7gYPIiIiIiIiIq0xqRCPjY3Frl27MHz4cJw5cwYLFizAtGnTEBMTAwDQ6XTo2bMnvvnmG/z55584fPgw2rZti4CAADRt2hTA4yPoDRs2xEcffYQ9e/Zg+/bt6NGjB1q2bImAgAAAwAcffAB7e3t06tQJR48exaJFizB+/Hj06tVL3bUnIiIiIiIiMjOTfiNepUoV/Pbbb+jfvz+GDh2K0NBQ/PDDD2jdurXSpk+fPrh79y66dOmCW7duoUaNGli1ahUcHR2VNvPnz0ePHj3wxhtvQK/Xo3nz5pgwYYIy38PDA2vWrEFMTAzCw8NRsGBBDBo0iLcuIyIiIiIionxPJyJi6STyQkpKCjw8PJCcnMzT1InohfGqzETaxf5J5sL3GhE9i7F1qEmnphMRERERERHRi2EhTkRERERERGRGLMSJiIiIiIiIzMiki7URERERERGZgr+tJ8qKR8SJiIiIiIiIzIiFOBEREREREZEZsRAnIiIiIiIiMiMW4kRERERERERmxEKciIiIiIiIyIxYiBMRERERERGZEQtxIiIiIiIiIjNiIU5ERERERERkRraWToDoRYT0W25Uuwsjo/M4k6yMyc0SeRERERERkWXxiDgRERERERGRGbEQJyIiIiIiIjIjFuJEREREREREZsRCnIiIiIiIiMiMeLE2MjtexIyIiIiIiKwZC3EiIiIN0fLdIIiIiEgdPDWdiIiIiIiIyIx4RJyIyMx4xJOIiIjIuplUiA8ePBhDhgwxmFaiRAmcOHECAPDgwQN8/vnnWLhwIVJTUxEVFYXJkyfD19dXaZ+QkICPP/4YGzduhKurK9q1a4cRI0bA1vb/Utm0aRN69eqFo0ePIigoCAMGDED79u1fYDWJiMjc+IUDEZH58DOXKH8x+dT00qVL48qVK8pj27ZtyrzY2Fj89ddfWLJkCTZv3ozLly+jWbNmyvz09HRER0cjLS0NO3bswJw5czB79mwMGjRIaXP+/HlER0ejbt26OHjwIHr27InOnTtj9erVL7iqRERERERERJZn8qnptra28PPzyzI9OTkZM2fOxIIFC1CvXj0AQFxcHEqVKoVdu3ahWrVqWLNmDY4dO4Z169bB19cXFSpUwLBhw9C3b18MHjwY9vb2mDp1KkJDQzF27FgAQKlSpbBt2zaMGzcOUVFRL7i6RESUGx5RISIiIsp7Jh8RP336NAICAlCkSBG0bt0aCQkJAID4+Hg8fPgQkZGRStuSJUuicOHC2LlzJwBg586dKFu2rMGp6lFRUUhJScHRo0eVNk/GyGyTGYOIiIiIiIgoPzPpiHjVqlUxe/ZslChRAleuXMGQIUNQs2ZNHDlyBImJibC3t4enp6fBMr6+vkhMTAQAJCYmGhThmfMz5+XWJiUlBffv34eTk1O2uaWmpiI1NVV5npKSYsqqEVkNLR/x1HJuRERERERqMakQb9SokfL/cuXKoWrVqggODsbixYtzLJDNZcSIEVkuJEdERERERESkNS90H3FPT08UL14cZ86cgZ+fH9LS0nDr1i2DNklJScpvyv38/JCUlJRlfua83Nq4u7vnWuz3798fycnJyuPSpUsvsmpEREREREREeeKF7iN+584dnD17Fm3atEF4eDjs7Oywfv16NG/eHABw8uRJJCQkICIiAgAQERGBb7/9FlevXoWPjw8AYO3atXB3d0dYWJjSZsWKFQavs3btWiVGThwcHODg4PAiq0OkWTxlm4iIiMzJmL89+HcH0fMz6Yj4F198gc2bN+PChQvYsWMH3nnnHdjY2KBVq1bw8PBAp06d0KtXL2zcuBHx8fHo0KEDIiIiUK1aNQBAgwYNEBYWhjZt2uDQoUNYvXo1BgwYgJiYGKWI7tatG86dO4c+ffrgxIkTmDx5MhYvXozY2Fj1156IiIiIiIjIzEw6Iv7PP/+gVatWuH79OgoVKoQaNWpg165dKFSoEABg3Lhx0Ov1aN68OVJTUxEVFYXJkycry9vY2GDZsmX4+OOPERERARcXF7Rr1w5Dhw5V2oSGhmL58uWIjY3F+PHjERgYiBkzZvDWZURERERkMp5VRkRaZFIhvnDhwlznOzo6YtKkSZg0aVKObYKDg7Ocev60OnXq4MCBA6akRkRERERERJQvvNDF2oiIiIiIiIjINCzEiYiIiIiIiMzoha6aTkRERNaDV1EmIiJSB4+IExEREREREZmR1R0R57f5RERERKQFvKL7y4X7k0xhdYU4ERER/1ii/IoHFIiIXg48NZ2IiIiIiIjIjHhEnIheWjxyRKRdPCvB8rgPiIgsh0fEiYiIiIiIiMyIR8SJiIiIiIjIKDybRh08Ik5ERERERERkRizEiYiIiIiIiMyIhTgRERERERGRGbEQJyIiIiIiIjIjFuJEREREREREZsSrpmsErz5IRESkDRyTiYgor7EQp2fiHyRERERERETq4anpRERERERERGbEQpyIiIiIiIjIjFiIExEREREREZkRC3EiIiIiIiIiM3qhQnzkyJHQ6XTo2bOnMu3BgweIiYmBt7c3XF1d0bx5cyQlJRksl5CQgOjoaDg7O8PHxwe9e/fGo0ePDNps2rQJlSpVgoODA4oVK4bZs2e/SKpEREREREQGQvotf+aDKC88dyG+d+9e/PTTTyhXrpzB9NjYWPz1119YsmQJNm/ejMuXL6NZs2bK/PT0dERHRyMtLQ07duzAnDlzMHv2bAwaNEhpc/78eURHR6Nu3bo4ePAgevbsic6dO2P16tXPmy4RERERERGRJjxXIX7nzh20bt0a06dPh5eXlzI9OTkZM2fOxPfff4969eohPDwccXFx2LFjB3bt2gUAWLNmDY4dO4Z58+ahQoUKaNSoEYYNG4ZJkyYhLS0NADB16lSEhoZi7NixKFWqFHr06IF3330X48aNU2GViYiIiIiIiCznuQrxmJgYREdHIzIy0mB6fHw8Hj58aDC9ZMmSKFy4MHbu3AkA2LlzJ8qWLQtfX1+lTVRUFFJSUnD06FGlzdOxo6KilBhERERERERE+ZWtqQssXLgQ+/fvx969e7PMS0xMhL29PTw9PQ2m+/r6IjExUWnzZBGeOT9zXm5tUlJScP/+fTg5OWV57dTUVKSmpirPU1JSTF01IiIiIiIiojxnUiF+6dIlfPbZZ1i7di0cHR3zKqfnMmLECAwZMsTSaRAREREREb0QYy8Sd2FkdB5nQnnFpFPT4+PjcfXqVVSqVAm2trawtbXF5s2bMWHCBNja2sLX1xdpaWm4deuWwXJJSUnw8/MDAPj5+WW5inrm82e1cXd3z/ZoOAD0798fycnJyuPSpUumrBoRERERERGRWZhUiL/xxhs4fPgwDh48qDwqV66M1q1bK/+3s7PD+vXrlWVOnjyJhIQEREREAAAiIiJw+PBhXL16VWmzdu1auLu7IywsTGnzZIzMNpkxsuPg4AB3d3eDBxEREREREZHWmHRqupubG8qUKWMwzcXFBd7e3sr0Tp06oVevXihQoADc3d3xySefICIiAtWqVQMANGjQAGFhYWjTpg1Gjx6NxMREDBgwADExMXBwcAAAdOvWDT/++CP69OmDjh07YsOGDVi8eDGWL9fWffx4yggRERERERGZyuSLtT3LuHHjoNfr0bx5c6SmpiIqKgqTJ09W5tvY2GDZsmX4+OOPERERARcXF7Rr1w5Dhw5V2oSGhmL58uWIjY3F+PHjERgYiBkzZiAqKkrtdImIiF5a/MKYiIhIm164EN+0aZPBc0dHR0yaNAmTJk3KcZng4GCsWLEi17h16tTBgQMHXjQ9IiIiIiIi0ihjvjR+Gb8wfq77iBMRERERERHR81H91HQiIiIiIiKi/Cyvf97FI+JEREREREREZsRCnIiIiIiIiMiMWIgTERERERERmRELcSIiIiIiIiIz4sXaiIiIiEhTrPV2RkRkPXhEnIiIiIiIiMiMeESciF5IXt/agYiIiIjoZcMj4kRERERERERmxEKciIiIiIiIyIxYiBMRERERERGZEQtxIiIiIiIiIjNiIU5ERERERERkRrxq+kuKV7ImIjIf3vOYiIjI8vJTDcQj4kRERERERERmxEKciIiIiIiIyIx4ajoREREREeUL+enUY6Lc8Ig4ERERERERkRmxECciIiIiIiIyIxbiRERERERERGbEQpyIiIiIiIjIjEwqxKdMmYJy5crB3d0d7u7uiIiIwMqVK5X5Dx48QExMDLy9veHq6ormzZsjKSnJIEZCQgKio6Ph7OwMHx8f9O7dG48ePTJos2nTJlSqVAkODg4oVqwYZs+e/fxrSERERERERKQhJhXigYGBGDlyJOLj47Fv3z7Uq1cPb7/9No4ePQoAiI2NxV9//YUlS5Zg8+bNuHz5Mpo1a6Ysn56ejujoaKSlpWHHjh2YM2cOZs+ejUGDBiltzp8/j+joaNStWxcHDx5Ez5490blzZ6xevVqlVSYiIiIiIiKyHJNuX9akSROD599++y2mTJmCXbt2ITAwEDNnzsSCBQtQr149AEBcXBxKlSqFXbt2oVq1alizZg2OHTuGdevWwdfXFxUqVMCwYcPQt29fDB48GPb29pg6dSpCQ0MxduxYAECpUqWwbds2jBs3DlFRUSqtNhEREREREZFlPPdvxNPT07Fw4ULcvXsXERERiI+Px8OHDxEZGam0KVmyJAoXLoydO3cCAHbu3ImyZcvC19dXaRMVFYWUlBTlqPrOnTsNYmS2yYyRk9TUVKSkpBg8iIiIiIiIiLTG5EL88OHDcHV1hYODA7p164bffvsNYWFhSExMhL29PTw9PQ3a+/r6IjExEQCQmJhoUIRnzs+cl1ublJQU3L9/P8e8RowYAQ8PD+URFBRk6qoRERERERER5TmTC/ESJUrg4MGD2L17Nz7++GO0a9cOx44dy4vcTNK/f38kJycrj0uXLlk6JSIiIiIiIqIsTPqNOADY29ujWLFiAIDw8HDs3bsX48ePx/vvv4+0tDTcunXL4Kh4UlIS/Pz8AAB+fn7Ys2ePQbzMq6o/2ebpK60nJSXB3d0dTk5OOebl4OAABwcHU1eHiIiIiIiIyKxMLsSflpGRgdTUVISHh8POzg7r169H8+bNAQAnT55EQkICIiIiAAARERH49ttvcfXqVfj4+AAA1q5dC3d3d4SFhSltVqxYYfAaa9euVWIQERER5Rch/ZYb1e7CyOg8zoSIiLTEpEK8f//+aNSoEQoXLozbt29jwYIF2LRpE1avXg0PDw906tQJvXr1QoECBeDu7o5PPvkEERERqFatGgCgQYMGCAsLQ5s2bTB69GgkJiZiwIABiImJUY5md+vWDT/++CP69OmDjh07YsOGDVi8eDGWLzduICMiIiIiIiLSMpMK8atXr6Jt27a4cuUKPDw8UK5cOaxevRr169cHAIwbNw56vR7NmzdHamoqoqKiMHnyZGV5GxsbLFu2DB9//DEiIiLg4uKCdu3aYejQoUqb0NBQLF++HLGxsRg/fjwCAwMxY8YM3rqMiIiIiIiIXgomFeIzZ87Mdb6joyMmTZqESZMm5dgmODg4y6nnT6tTpw4OHDhgSmpERERERERE+cJz30eciIiIiIiIiEzHQpyIiIiIiIjIjFiIExEREREREZkRC3EiIiIiIiIiM3rh+4gTEZFlGXOfYt6jmIiIiEg7eESciIiIiIiIyIxYiBMRERERERGZEQtxIiIiIiIiIjNiIU5ERERERERkRizEiYiIiIiIiMyIhTgRERERERGRGbEQJyIiIiIiIjIjFuJEREREREREZsRCnIiIiIiIiMiMWIgTERERERERmRELcSIiIiIiIiIzYiFOREREREREZEYsxImIiIiIiIjMiIU4ERERERERkRmxECciIiIiIiIyIxbiRERERERERGZkUiE+YsQIVKlSBW5ubvDx8UHTpk1x8uRJgzYPHjxATEwMvL294erqiubNmyMpKcmgTUJCAqKjo+Hs7AwfHx/07t0bjx49MmizadMmVKpUCQ4ODihWrBhmz579fGtIREREREREpCG2pjTevHkzYmJiUKVKFTx69AhffvklGjRogGPHjsHFxQUAEBsbi+XLl2PJkiXw8PBAjx490KxZM2zfvh0AkJ6ejujoaPj5+WHHjh24cuUK2rZtCzs7OwwfPhwAcP78eURHR6Nbt26YP38+1q9fj86dO8Pf3x9RUVEqbwKix0L6LTeq3YWR0XmcCRERERERvcxMKsRXrVpl8Hz27Nnw8fFBfHw8atWqheTkZMycORMLFixAvXr1AABxcXEoVaoUdu3ahWrVqmHNmjU4duwY1q1bB19fX1SoUAHDhg1D3759MXjwYNjb22Pq1KkIDQ3F2LFjAQClSpXCtm3bMG7cOBbiRERERERElK+90G/Ek5OTAQAFChQAAMTHx+Phw4eIjIxU2pQsWRKFCxfGzp07AQA7d+5E2bJl4evrq7SJiopCSkoKjh49qrR5MkZmm8wY2UlNTUVKSorBg4iIiIiIiEhrnrsQz8jIQM+ePVG9enWUKVMGAJCYmAh7e3t4enoatPX19UViYqLS5skiPHN+5rzc2qSkpOD+/fvZ5jNixAh4eHgoj6CgoOddNSIiIiIiIqI889yFeExMDI4cOYKFCxeqmc9z69+/P5KTk5XHpUuXLJ0SERERERERURYm/UY8U48ePbBs2TJs2bIFgYGBynQ/Pz+kpaXh1q1bBkfFk5KS4Ofnp7TZs2ePQbzMq6o/2ebpK60nJSXB3d0dTk5O2ebk4OAABweH51kdIiIiIiIiIrMx6Yi4iKBHjx747bffsGHDBoSGhhrMDw8Ph52dHdavX69MO3nyJBISEhAREQEAiIiIwOHDh3H16lWlzdq1a+Hu7o6wsDClzZMxMttkxiAiIiIiIiLKr0w6Ih4TE4MFCxbgjz/+gJubm/Kbbg8PDzg5OcHDwwOdOnVCr169UKBAAbi7u+OTTz5BREQEqlWrBgBo0KABwsLC0KZNG4wePRqJiYkYMGAAYmJilCPa3bp1w48//og+ffqgY8eO2LBhAxYvXozly427vRQRERERERGRVpl0RHzKlClITk5GnTp14O/vrzwWLVqktBk3bhzefPNNNG/eHLVq1YKfnx+WLl2qzLexscGyZctgY2ODiIgIfPjhh2jbti2GDh2qtAkNDcXy5cuxdu1alC9fHmPHjsWMGTN46zIiIiIiIiLK90w6Ii4iz2zj6OiISZMmYdKkSTm2CQ4OxooVK3KNU6dOHRw4cMCU9IiIiIiIiIg074XuI05EREREREREpmEhTkRERERERGRGLMSJiIiIiIiIzIiFOBEREREREZEZsRAnIiIiIiIiMiMW4kRERERERERmxEKciIiIiIiIyIxYiBMRERERERGZEQtxIiIiIiIiIjNiIU5ERERERERkRizEiYiIiIiIiMyIhTgRERERERGRGbEQJyIiIiIiIjIjFuJEREREREREZsRCnIiIiIiIiMiMWIgTERERERERmRELcSIiIiIiIiIzYiFOREREREREZEYsxImIiIiIiIjMiIU4ERERERERkRmxECciIiIiIiIyI5ML8S1btqBJkyYICAiATqfD77//bjBfRDBo0CD4+/vDyckJkZGROH36tEGbGzduoHXr1nB3d4enpyc6deqEO3fuGLT5+++/UbNmTTg6OiIoKAijR482fe2IiIiIiIiINMbkQvzu3bsoX748Jk2alO380aNHY8KECZg6dSp2794NFxcXREVF4cGDB0qb1q1b4+jRo1i7di2WLVuGLVu2oEuXLsr8lJQUNGjQAMHBwYiPj8eYMWMwePBgTJs27TlWkYiIiIiIiEg7bE1doFGjRmjUqFG280QEP/zwAwYMGIC3334bADB37lz4+vri999/R8uWLXH8+HGsWrUKe/fuReXKlQEAEydOROPGjfHdd98hICAA8+fPR1paGmbNmgV7e3uULl0aBw8exPfff29QsBMRERERERHlN6r+Rvz8+fNITExEZGSkMs3DwwNVq1bFzp07AQA7d+6Ep6enUoQDQGRkJPR6PXbv3q20qVWrFuzt7ZU2UVFROHnyJG7evJnta6empiIlJcXgQURERERERKQ1qhbiiYmJAABfX1+D6b6+vsq8xMRE+Pj4GMy3tbVFgQIFDNpkF+PJ13jaiBEj4OHhoTyCgoJefIWIiIiIiIiIVPbSXDW9f//+SE5OVh6XLl2ydEpEREREREREWahaiPv5+QEAkpKSDKYnJSUp8/z8/HD16lWD+Y8ePcKNGzcM2mQX48nXeJqDgwPc3d0NHkRERERERERao2ohHhoaCj8/P6xfv16ZlpKSgt27dyMiIgIAEBERgVu3biE+Pl5ps2HDBmRkZKBq1apKmy1btuDhw4dKm7Vr16JEiRLw8vJSM2UiIiIiIiIiszK5EL9z5w4OHjyIgwcPAnh8gbaDBw8iISEBOp0OPXv2xDfffIM///wThw8fRtu2bREQEICmTZsCAEqVKoWGDRvio48+wp49e7B9+3b06NEDLVu2REBAAADggw8+gL29PTp16oSjR49i0aJFGD9+PHr16qXaihMRERERERFZgsm3L9u3bx/q1q2rPM8sjtu1a4fZs2ejT58+uHv3Lrp06YJbt26hRo0aWLVqFRwdHZVl5s+fjx49euCNN96AXq9H8+bNMWHCBGW+h4cH1qxZg5iYGISHh6NgwYIYNGgQb11GRERERERE+Z7JhXidOnUgIjnO1+l0GDp0KIYOHZpjmwIFCmDBggW5vk65cuWwdetWU9MjIiIiIiIi0rSX5qrpRERERERERPkBC3EiIiIiIiIiM2IhTkRERERERGRGLMSJiIiIiIiIzIiFOBEREREREZEZsRAnIiIiIiIiMiMW4kRERERERERmxEKciIiIiIiIyIxYiBMRERERERGZEQtxIiIiIiIiIjNiIU5ERERERERkRizEiYiIiIiIiMyIhTgRERERERGRGbEQJyIiIiIiIjIjFuJEREREREREZmRr6QSIiIiMEdJvuVHtLoyMzuNMiIiIiF4MC3EiIiIiIqKXGL/M1h4W4kRERET0QvhHPhGRafgbcSIiIiIiIiIzYiFOREREREREZEYsxImIiIiIiIjMSNOF+KRJkxASEgJHR0dUrVoVe/bssXRKRERERERERC9Es4X4okWL0KtXL3z99dfYv38/ypcvj6ioKFy9etXSqRERERERERE9N80W4t9//z0++ugjdOjQAWFhYZg6dSqcnZ0xa9YsS6dGRERERERE9Nw0efuytLQ0xMfHo3///so0vV6PyMhI7Ny5M9tlUlNTkZqaqjxPTk4GAKSkpBi0y0i998zXf3qZnBgTy9h4asZSO54lcuN6mh7L2Hh8r+VdLGPjcT1Nj6V2PO4D02MZG89a1tPYeNwHpscyNp61rKex8bgPTI9lbDxrWU9j43Ef5B4r87mI5LqcTp7VwgIuX76MV155BTt27EBERIQyvU+fPti8eTN2796dZZnBgwdjyJAh5kyTiIiIiIiIKItLly4hMDAwx/maPCL+PPr3749evXopzzMyMnDjxg14e3tDp9PluFxKSgqCgoJw6dIluLu7v1AOWo2l5dysZT21nBvX0/LxrCU3rqfl41lLblxPy8ezlty4npaPZy25cT0tH8/YWCKC27dvIyAgINd4mizECxYsCBsbGyQlJRlMT0pKgp+fX7bLODg4wMHBwWCap6en0a/p7u6uys7Wciy142k1ltrxrCU3rqfl41lLblxPy8ezlty4npaPZy25cT0tH89acuN6Wj6eMbE8PDyeGUeTF2uzt7dHeHg41q9fr0zLyMjA+vXrDU5VJyIiIiIiIspvNHlEHAB69eqFdu3aoXLlynjttdfwww8/4O7du+jQoYOlUyMiIiIiIiJ6bpotxN9//31cu3YNgwYNQmJiIipUqIBVq1bB19dX1ddxcHDA119/neW09pcpltrxtBpL7XjWkhvX0/LxrCU3rqfl41lLblxPy8ezlty4npaPZy25cT0tH0/t3DR51XQiIiIiIiKil5UmfyNORERERERE9LJiIU5ERERERERkRizEiYiIiIiIiMyIhTgRERERERGRGWn2qun5xcOHD5GYmIh79+6hUKFCKFCggCZiaT03NWk5t7yQmpr6wldrzKttpkZuRPmRlj+HrCU3jqHPR8u55QWOocazpj6l1X6g1bzyilp9IC+2W170T6ssxBMSEnDx4kVl55QuXdqkDXv79m3MmzcPCxcuxJ49e5CWlgYRgU6nQ2BgIBo0aIAuXbqgSpUqZo2l9dwyvej213puasdbuXIlFi5ciK1bt+LSpUvIyMiAi4sLKlasiAYNGqBDhw4ICAh4Zpy82GZq5ZYpNTUVu3fvNthmFStWRGhoqNExnqTF/an13LS8D9TMTY1YefU5BGhrnNJybhxDOYY+izWNoYC2+qfa8bSc25O0tg/UzE3tWGr2AbW3W170zyzESpw/f1769OkjhQsXFr1eLzqdTnk4ODhIZGSkLF68WNLT03ONM3bsWClQoIBUqVJFhg4dKqtWrZK///5bTp8+Lbt375aZM2dK+/btxdPTU6KiouTUqVNmiaX13NTa/lrPTc14S5culVdffVX8/PykY8eOMnXqVPnzzz9l7dq1smjRIhk4cKDUqVNHHBwcpGvXrnL16lWzbTM1cxMR2bZtm7z33nvi6OgoNjY2UqBAAXnllVfEyclJ9Hq9FCtWTEaPHi0pKSm5xhHR7v7Uem5a3gdq5qZWLLX7lJrbzVpy4xjKMTQ31jSGarF/qh1Py7mJaHcfqJmbmrHU7gNqbje1c8uNVRTin3zyibi7u8t7770nc+fOlRMnTkhKSoo8fPhQkpKSZP369TJ48GApWbKklC5dWvbs2ZNjrJYtW8qRI0ee+ZoPHjyQKVOmyMyZM80SS8u5qbn9tZ6bmvGqVasmy5Yte+aH2T///CN9+/aV77//Psc2ar/X1MytSZMm8sorr0jv3r1ly5Ytcu/ePYP5Z8+eldmzZ0tUVJT4+fnJmjVrcoyl5f2p5dy0vA/UzE3NWGr3Ka2OU1rOjWMox1COodrtn2rH03JuWt4HWv07Rs0+IKLudlM7t9xYRSHer18/+e+//4xqu3LlSvn111/zOCProuXtr3ZuWl5XrZo6daqkpaUZ1fbo0aOybt26HOdreX9qOTct7wM1c1Mzltq0/Nmh5dysgZa3v5Y/16wFt5nlaXkfaPnvGBLRiYi82MntlB9s2rQJVatWhZOTk6VTISJ6KaWmpgKApi62ROrgGEqkXeyflF/x9mXP6dChQ/jmm28wefJk/PfffwbzUlJS0LFjR6NjzZgxA+3atUNcXBwAYNGiRShVqhSKFCmCr7/+WpV8GzRogAsXLpi0zNWrVw2eHzx4EO3atUP16tXx7rvvYtOmTS+UU2pqKs6ePav88WqKsmXLYtiwYbh06dIL5ZCbpKQkJCYmvlCM9PR0JCUl4dq1a88d49ixY+jevTsqVqwIf39/+Pv7o2LFiujevTuOHTv2Qvk96ezZs6hXr55Jy1y5cgXz5s3DihUrkJaWZjDv7t27GDp0qGr5aY2IID09XZVYs2fPRnJysiqx1HT69GmsX78eZ86csXQqAJBle+/Zswe7du16rs8Q4PGFZnbv3o29e/fi+vXrzxVj7dq1aNy4Mby8vODs7AxnZ2d4eXmhcePGWLdu3XPFVIua45TaOIZyDDUGx1DLjKFqf3bkdR99nv4JaLePmqN/Ai/eR/NT/wRM76Nm6Z8WPiKvGceOHZPQ0FCj2q5evVrs7e2ldOnSUrhwYfH29pYNGzYo8xMTE0Wv1xsVa9y4ceLi4iLNmjUTf39/+eabb8Tb21u++eYbGTJkiLi7u8tPP/1k9HpUrFgx24dOp5NSpUopz42h1+slKSlJRES2b98udnZ2Urt2bendu7fUr19fbG1tZfPmzUbFiouLkx07doiIyP3796Vjx45iY2Mjer1ebG1tpWvXrvLgwQOj11On04m3t7fY2NhIVFSU/PLLL/Lw4UOjl3/S9evXpXnz5hIUFCTdunWTR48eSadOnUSn04ler5eIiAi5fPmySTGXLVsmNWvWFAcHB9Hr9aLX68XDw0M+/PBDuXjxotFxVqxYIfb29lKtWjX5+uuvZfLkyTJ58mT5+uuv5fXXXxcHBwdZtWqVqaucrYMHDxr9vhUR2bNnj3h6eoq7u7s4OTlJsWLFDH6fY0o/UDu35cuXS6dOnaR3795y/Phxg3k3btyQunXrGh3r4cOH8tVXX0mtWrVk0KBBIiIyevRocXZ2Fnt7e2nbtq2kpqYaHS87dnZ2cuzYMZOX2717tzx69Eh5/tdff0mtWrUkICBAwsPDZc6cOUbHGj58uHIq9o0bN+SNN95QLsCi1+ulYcOGcvPmTaNiubq6SseOHWX79u0mrU9OLly4IOHh4WJjYyMNGzaU5ORkiYyMVPIrUqSInDx50uh4kyZNUi408+SjevXqsm/fPqPjzJ49W2xtbaVly5YSFxcnK1askBUrVkhcXJy0atVK7OzsZO7cuc+zytmy1Dil5dw4hnIMzQ3H0Mcs+dmhZh9Vs3+KaLePqtk/RdTvo/mxf4qY1kfN1T9ZiP9/puyciIgI+fLLL0VEJCMjQ0aNGiWurq6ycuVKETFt55QsWVLmz58vIiL79+8XW1tbmTFjhjJ/xowZEh4ebvR62NraSsOGDWXw4MHK4+uvvxa9Xi/du3dXphlDp9MpH1D169eXjh07Gsz/7LPPpF69ekbFCg0NlV27domIyBdffCEhISGydOlSOX78uPz+++9SvHhx6d27t9HrqdPp5N9//5XffvtNmjRpIra2tlKoUCH5/PPPTS5oOnbsKGXKlJGJEydK7dq15e2335Zy5crJtm3bZMeOHVKlShVp27at0fHmzp0rbm5u8vnnn8tXX30lfn5+0q9fP5kyZYrUrl1bChYsaNRVLkVEypUrJwMHDsxx/tdffy1ly5Y1Ktb48eNzffTp08ekD5XIyEjp0KGDpKenS0pKinz88cfi7e0t+/fvFxH1C3GdTmdU2/nz54uNjY1ER0dLjRo1xNHRUebNm6fMNzWvAQMGiK+vr/Tq1UvCwsKkW7duEhQUJPPmzZM5c+bIK6+8IqNGjTIqlpeXV7YPnU4nHh4eynNjPflHxJ9//il6vV7atm0rkyZNks6dO4utra0sXbrUqFiBgYHKvuvcubNUrFhR9u/fL/fv35eDBw9KtWrVpFOnTkbF0ul0Urp0adHpdFKyZEn57rvvXuiqos2bN5fatWvLX3/9JS1atJDq1atLnTp15J9//pHLly9LVFSUNG3a1KhYY8aMkYCAAJk4caJMnz5dSpUqJUOHDpWVK1dKmzZtxNnZWfbu3WtUrFdffVV+/PHHHOdPmjRJihUrZlQsY1hqnNJybhxDOYbmhmPoY5b87FCzj6rZP0W020fV7J8i6vZRrfZPEXX7qLn6p9UU4rGxsbk+PvzwQ6M3qLu7u5w5c8Zg2vz588XFxUX++usvk3aOk5OTwbdHDg4OBt+4nD59Wjw9PY2KJfL41jxFixaVQYMGGVztz9bWVo4ePWp0HBHDDyh/f3/ZuXOnwfwjR45IwYIFjYrl4OCgrGfx4sWVD/RMmzdvlsKFCz9XbiIily9fluHDh8urr76qfLv3rCtJZvL391eO3CUmJopOpzO4WvK2bdvklVdeMTq3kiVLysKFC5Xne/fulcDAQMnIyBARkffff1/eeecdo2I5OjrKiRMncpx/4sQJcXR0NCqWTqeTgIAACQkJyfYREBBg0oeKl5dXlqOQI0aMEC8vL9mzZ49J/eCdd97J9VGvXj2jY1WoUEHGjx+vPF+0aJG4uLgoA7+pH55FihSRv/76S0Qe90e9Xm+wfxctWiRlypQxKparq6tER0fL7NmzlUdcXJzY2NjIt99+q0wz1pP9oEaNGtKvXz+D+d9++61Uq1bNqFgODg5y4cIFEREJCQnJchRg37594u/vb1JeBw8elB49ekiBAgXE3t5emjVrJitWrFD6grEKFSokBw4cEBGRW7duiU6nk61btyrz4+PjxdfX16hYISEhsmLFCuX5yZMnxdvbWzna8Omnn0r9+vWNiuXg4KBa/xTR7jil5dw4hj7GMTR71jKGarV/iqjbR9XsnyLa7aNq9k8RdfuoVvuniLp9VM3+mRurKcT1er1UqlRJ6tSpk+2jcuXKRm/QQoUKZXv64v/+9z9xdnaWKVOmGB3L29vb4NutwMBA5Y9hkccfUK6urkbFynTr1i1p2bKlVK1aVfkwfd4/Is6cOSPJyckSGhqqfAuU6cyZM+Ls7GxUrODgYOXUpldeeSXLEadjx46Ji4uL0bk9eSTwaRs3bpQPP/zQ6HjOzs4G29zOzk4OHz6sPD937pxJuTk5Ocn58+cNptna2sq///4rIo9PJzZ20ClZsqSMHTs2x/ljx46VEiVKGBUrJCREFi1alOP8AwcOmPxHxKFDh7JMHzNmjHh6esrSpUuNjmdrayuNGjWS9u3bZ/t46623jI7l4uIi586dM5i2YcMGcXV1lSlTppj84eno6CgJCQkGz5883f3cuXPi5uZmVKzTp08r3zzfvn1bma7GHxE+Pj5ZPpdOnDhh9HutePHismzZMhF5/M3+06eVHzhwQNzd3U3OS+Tx7UIWLFggb7zxhuj1egkMDMz1W/Cnubm5Kfs0PT1dbG1t5eDBg8r806dPG70PnJ2dDfpnRkaG2NraKqflHTx40OjP3EqVKuV6hKNPnz5SqVIlo2KJaHec0nJuHEMf4xiaPWsZQ7XaP0XU76Nq9U8R7fZRNfuniLp9VKv9U0TdPqpm/8yN1RTixYsXl59//jnH+absnPr168uYMWOynbdgwQKxs7MzOlb16tUNvll62l9//WX00banzZo1S/z8/OSnn34SOzu75/ojIvO3HzqdTqZNm2Yw/48//jD6tMsvv/xSIiIi5ObNm9KvXz9p0qSJUojcvXtXWrRoIQ0aNDApt5w+pDIlJycbFat8+fLK6aUrVqwQNzc3gw+GKVOmmLQPSpUqJUuWLFGex8fHi729vfJb3tOnTxv9gbd48WKxtbWVJk2ayPjx42XhwoWycOFCGT9+vLz11ltib28vv/zyi1GxmjdvLn369Mlxvimnf4uI1KxZU6ZMmZLtvFGjRim/HTJG2bJlDU5Ve5op/TO7b7VFRDZt2iSurq7y1VdfmfTh6evrK3///bfy/PXXX5d//vlHeX78+HGjC1SRx78579OnjxQtWlS2bdsmIi/2R8TGjRvl0KFDEhwcnOWenSdOnDD6D5wxY8ZIqVKl5PTp0zJ27FiJiIhQ/sg5d+6c1KlTR959912jYuX2R8T58+dlwIABEhQUZFQskcf39BwwYICIPP5c8/X1NTj6P3ToUKNPbaxQoYLBZ9n69evF2dlZ+Tb/xIkTRhf1GzduFBcXFylbtqzExsbKyJEjZeTIkRIbGyvlypUTV1dXo39fKKLdcUrLuXEM5RiaG2sZQ7XaP0Xyro++aP8U0W4fVbN/iqjbR7XaP0XU7aNq9s/cWE0h/sEHH0jPnj1znG/Kzlm6dGmusebPny916tQxKta2bduUUy6zM2nSJJk4caJRsbJz6tQpqVKliuh0OpM/pDZt2mTwePoUjR9++EFGjx5tVKzU1FR56623xMvLS+rXry+Ojo7i7Owsr776qri4uEjhwoVNuthS+/btJSUlxaT1ycm8efPExsZGihUrJg4ODrJkyRIJCAiQFi1aSMuWLcXe3j7X34E+7ccffxQPDw/p06ePDBo0SAICAgx+Wztv3jyTLiayfft2ef/996Vw4cJib28v9vb2UrhwYXn//feVC4MY4+jRo7n+9jUtLc3gG9NnmT59unz44Yc5zh85cqSEhIQYFat9+/bSvXv3HOcfO3bM6Fhvv/22clG1p2UWTqZ8eNatWzfX08UXL15s0m9QM61fv14KFy4s/fv3f+E/IjIvWjZu3DiD+f/73/8kLCzM6HiffPKJ2NnZScmSJcXR0VH0er3Y29uLXq+XypUry5UrV4zO61l/RJhyevqqVavE0dFR7O3txdHRUTZv3izFixeX1157TapVqyY2Nja5fgv+pEWLFomdnZ20aNFC2rZtK66urgZF/dSpUyUiIsLo3M6fPy99+vSRWrVqSfHixaV48eJSq1Yt6du3b5ajBs+i1XFKy7lxDOUY+izWMIZqtX+K5G0ffZH+KaLdPqpm/xRRt49qtX+KqNtH1eyfubGa+4gnJiYiNTUVwcHBlk7F7DIyMnD79m24u7tDp9NZNJdVq1bhr7/+wrlz55CRkQF/f39Ur14dH3zwAVxcXCyW1/bt27Fr1y5ERETg9ddfx7FjxzBy5Ejcu3cPTZo0Qbt27UyKN2XKFMybNw+pqamIiorCwIED4ejoCODxLaHS09NRsmTJvFiVfCk1NRXp6elwdnZ+4VibN2/Gjh070L9//2znb9y4EXPnzlVuo/Isp06dgp2dHUJDQ7Odv2DBAtja2qJFixYm53r9+nV89NFH2LhxI3bt2oUSJUqYtPzFixcNnru6usLb21t5PnfuXABA27ZtjY55/PhxLFu2LEsfjYyMNPrzY8iQIejdu7cq+zPThQsXEB8fj/DwcISEhCApKQmTJk3CvXv3EB0djbp16xoda+XKlQb986OPPlLmZd7G7MntaC5aHqe0nFte4xj6bBxDLYv9Uxv9E7COPsr+qR6rKcSJiIiIiIiItEBv6QSI6PkdP34cRYoU0VysvIhHlN8cOnQINjY2lk4jW1rOjchcOIYSaZeW+5RasViIE+VjaWlpWU5P1kKsvIhHlB+pedKZ2sUzT4gja8cxlEi7tNyn1Iplq0IuRJRHevXqlev8a9euWSRWXsQjym+aNWuW6/zk5GTVf7NobPFsidyItIZjKJF2ablPmat/8jfiRBpmY2ODChUqwN3dPdv5d+7cwf79+5Genm7WWHkRjyi/sbOzQ/369eHr65vt/Bs3bmDZsmVG9wFjiudNmzYZFU/t3IjyI46hRNql5T5ltv75wtddp2wNGTJEtmzZorlYasdTOzc1aTk3Y6l5b1A1Y+VFPKL8pmzZsjJjxowc55vaB2xtbaVRo0bSvn37bB9vvfWW0fHUzs3ctDxOaTk3NWk5N2NxDM0b1tSntNoPtJqXKbTcp8zVP/kb8ScMHToUW7duVSVWXFwcoqKi0KRJE03FUjuemrHU3P6AtnMzNl7lypURHx+f43ydTmf0qapqxsqLeM/SsWNH/Pzzz5qLpXY8a8ntZVjP8PBw7N+/P8f5Dg4OKFy4sNGvW6pUKTRv3hxxcXHZPoYMGWJ0LLVzMwbHUMvG4hiaFcfQ/6PV/ql2PC3npuV9oGZuluifasczW/984VL+JRISEiJOTk7y5ptvqhLv3r17snz5cs3FUjueWrHU3v4i2s3N2HhXrlyRCxcuqPKaasbKi3jPUrt2bQkODpby5ctrKpba8awlt5dhPR88eCB379594dfL1L59e+nevXuO848dOyYhISFGxVI7N2NwDLVsLI6hWXEM/T9a7p9qx9NqblreB2rmZon+qXY8c/VP/kb8Kffv38fGjRvRuHFjS6dilbS8/dXOTcvrqmXHjh1DWFiY5mKpHc9acrOW9TRGamoq0tPT4ezsbLbXVBs/1yxLy9ufY6jlcZtZnpb3gZq5aXk9tYSF+AvYs2cPdu7cicTERACAn58fIiIi8Nprr1k0ltZzU5OWcyMiopxlZGRAr8/6C7mMjAz8888/Jp06r2YsreemJi3nRpYjIrhw4QKCgoJga2uLtLQ0/Pbbb0hNTUXjxo1RsGBBi8XTcm5q0mpepLI8P+auMbt375YffvhB+vXrJ/369ZMffvhBdu/ebVKMpKQkqVGjhuh0OgkODpbXXntNXnvtNQkODhadTic1atSQpKQks8fSem4i6mx/reeWV/Gs2Y0bN2TOnDmai6V2PGvJzVrW82WUnp6e4/SLFy8aFSM5OVnee+89cXR0FB8fHxk4cKA8evRImZ+YmGj0RXDUjKX13ETU2f5azy2v4r3sMjIy5Ny5c/Lw4UMREUlNTZWFCxfKnDlz5Nq1a0bHOXHihAQHB4ter5dixYrJuXPnJDw8XFxcXMTZ2VkKFiwop06dskg8Lecmot19oGZuaseydlZTiKtZuDVv3lwiIiLkxIkTWeadOHFCXn/9dXn33XfNHkvLualdOGs5t7z4ksDaHTx4ULWrx6oZS+141pKbtazny0TNwu3TTz+V4sWLy5IlS2T69OkSHBws0dHRkpqaqsTS6XRmj6Xl3NQunLWcW158SfCyU7Nwe/vtt+Wtt96Sv//+W3r27CmlSpWSt99+W9LS0uTBgwfSpEkT+fDDD43OTc14Ws5Ny/tAy1+GWDurKcTVLNxcXV1l//79Oc7ft2+fuLq6mj2WlnNT+wsHLeemdjxrkJycnOtj69atJh2FUisWc7N8LK3nZi3ULNwKFy4sGzduVJ5fu3ZNXnvtNWnQoIE8ePDApEJLzVhazk3tLxy0nJva8ayBmoVboUKF5MCBAyIicufOHdHpdLJ161Zl/vbt26Vw4cJG56ZmPC3npuV9oOUvQ6yd1RTiahZu3t7esmnTphznb9y4Uby9vc0eS8u5qf2Fg5ZzUzueNdDpdKLX63N8ZM43dyzmZvlYWs/NWqhZuDk5Ocm5c+cMpqWkpEhERITUq1dPzp07Z5FYWs5N7S8ctJyb2vGsgZqFm5OTk8Gp/66urnLmzBnleUJCgjg4OBidm5rxtJyblveBlr8MsXa2lv6Nurk4ODggJSUlx/m3b9+Gg4ODUbHef/99tGvXDuPGjcMbb7wBd3d3AEBKSgrWr1+PXr16oVWrVmaPpeXc1Nz+Ws9N7XjPMnToUNStWxc1a9bUVCxT4rm5ueGrr75C1apVs51/+vRpdO3a1ajXVDMWc7N8LK3n9iwdO3ZE3bp10aZNG9ViqsWU3K5du4bg4GDlecGCBbFu3TpERUWhcePGmDFjhtGvW7hwYRw/fhyhoaHKNDc3N6xZswYNGjTAO++8Y5FYWs5Nze2v9dzUjvcsL8MYeufOHRQoUAAA4OLiAhcXF/j7+yvzg4KCkJSUZNRrBgQEICEhQblQ3+jRo+Hj46PMv3btGry8vIxeBzXjaTk3Le8DNXNTM5YxLNWnzBbL0t8EmEv37t0lODhYli5dKsnJycr05ORkWbp0qYSEhEiPHj2MivXgwQPp1q2b2Nvbi16vF0dHR3F0dBS9Xi/29vby8ccfy4MHD8weS8u5qbn9tZ6b2vGexRL3flQ7Xp06dWTUqFE5zj948KDRpyKqGYu5WT6W1nN7FrXvl96hQweZO3euKrFMya1EiRLZ3q/29u3bEhERIeXLlzf6KOUnn3yS489zUlJSpGrVqhaJpeXc1Nz+Ws9N7XjP8jKMoUWLFjU4Kjl58mRJSUlRnsfHx4ufn59Rr9m1a1eZPn16jvNHjBghjRs3NiqW2vG0nJuW94GauakZyxiW6lPmimU1hbjaBa/I48Jqw4YNsmDBAlmwYIFs2LDBoPCyVCwt5pYX21+rueXVuubm3r172f7hYulYxsabNm2ajB8/Psf5iYmJMnjwYKNeT81YzM3ysbSem7GOHj2qShy1C3sR43JTs3C7ceOGHDlyJMf5KSkpuf70KK9iaTk3tb9w0HJuasczRn4fQ9Uu3HJz7tw5uXz5siqx1I5nydy0vA+0/GWIMSzRp8wVy+ruI56SkoL4+HiD+06Hh4crpzZT3tLy9lc7Ny2vKxHlb8eOHUNYWJjZXu/mzZu4fPkySpcune3827dvY//+/ahdu7bZcrImWt7+auem5XXNr86fPw9HR0eDU4jJvLS8D9TMTcvrqUVWV4ir5f79+4iPj0eBAgWy/DH04MEDLF68GG3btjV7LK3npiYt56a2PXv2YOfOnQZFfUREBF577TWLxsqLeEQvi5s3b+Kvv/7S5OeQpXPT8jil5dzUpOXc1JaRkQG9Xp/t9H/++Uf5La65Y+VFPDVYU5/Saj/Qal5qExFcuHABQUFBsLW1RVpaGn777TekpqaicePGKFiwoMXiqZ1bTi9iNe7duydbt27N9jS8+/fvy5w5c4yKc/LkSeWe0Hq9XmrVqiX//vuvMt+UK3qqGUvruam1/bWem5rx1Lwnudbvl67mPtDq/rSm3KxlPXOj9j3Jb9y4YdHc8nIMffI0yxcdp543ltZzy+sxVCu5qRlPzXuSa/1+6Vrsn2rH03JuItrdB2rmpmYste9Jnh/vl241hbiahVvTpk0lOjparl27JqdPn5bo6GgJDQ1VbjVgqVhazk3twlnLuakZT817kmv5funWMlBbS27Wsp7mvie5KcWz2rmpud20Ok5pOTe1+5SWc1Mznpr3JNfy/dK12j/Vjqfl3LS8D7Q6hqp9T/L8eL90qynE1XxT+/j4yN9//608z8jIkG7duknhwoXl7NmzFoul5dzU/lDRcm5qxlPznuRavl+6tQzU1pKbtayn2vckV7N4Vjs3jqEcQ82Vm5rx1LwnuZbvl67V/ql2PC3npuV9oNUxVO17kufH+6VbTSGu5pvazc1Njh07lmV6TEyMBAYGypYtWywSS8u5qf2houXc1Izn7e2d65VrN27cKN7e3maPpXY8axmorSU3a1lPd3d3GTVqlGzatCnbx/Tp001aTzWLZ7Vz4xjKMdRcuakZz8nJSc6dO2cwLSUlRSIiIqRevXpy7tw5i8RSO55W+6fa8bScm5b3gVbHUCcnJ6WAF3l8gOfMmTPK84SEBHFwcDAqltrx1M4tJ1ZTiKv5pq5SpUqO93GNiYkRT09Pi8TScm5qf6hoOTc146l5T3It3y/dWgZqa8nNWtZT7XuSq1k8q50bx1COoebKTc14at6TXMv3S9dq/1Q7npZz0/I+0OoYqvY9yfPj/dKtphBX8009fPhwadSoUY7zP/74Y6P/wFEzlpZzU/tDRcu5qRlPzXuSa/l+6dYyUFtLbtaynmrfk1zN4lnt3DiGWjY3jqHPF0/Ne5Jr+X7pWu2fasfTcm5a3gdaHUPVvid5frxfutUU4mq/qck0Wt7+Wv5gz5ScnCwbNmyQBQsWyIIFC2TDhg0GR6EtFUuteNYyUFtLbtaynmpTu3hWk5a3mzXQ8vbXcn+/ceOGHDlyJMf5KSkpuf7EKq9iqR1Py+8Pa6HlfZBfx9Bz584ZXAhOS/HUisX7iKsgNTUVAODg4KCpWGrHUzs3NWk5NyIiypmWxykt56YmLedGlmVNfUqr/UCredGL01s6AUtJTU1V3tjPY+3atWjcuDG8vLzg7OwMZ2dneHl5oXHjxli3bp3FYmk9t0wvuv21npua8e7fv49t27bh2LFjWeY9ePAAc+fOtUisvIiXSc19oLX9mVex1I6n1Vhqx9NS/1RbXubGMdQyuWXiGGo8jqGms6Y+pdV+kFd5qZGbmrG03KfMMr6/8DH1fGTNmjXSqFEj5fcLer1ePD09pVGjRrJ27Vqj48yePVtsbW2lZcuWEhcXJytWrJAVK1ZIXFyctGrVSuzs7HL8/URextJ6bmptf63npmY8Ne9JruX7pYuouw+0uj+tKTdrWE+1758sInLv3j3ZunWrHD16NMu8+/fvy5w5cyyWG8dQjqHmyE3NeFq9f3JexNNi/1Q7npZzE9HuPlAzNzVjablP5cUYmh2rKcTVfFO/+uqr8uOPP+Y4f9KkSVKsWDGzx9Jybmp/qGg5NzXjafXej2rHs5aB2lpys5b1VLtPqTnwq50bx1DL5sYx1PJ91FrGUGvpU2rH0/I+sJYxVMv9PSdWU4ir+aZ2cHCQEydO5Dj/xIkT4ujoaPZYWs5N7Q8VLeemZjyt3vtR7XjWMlBbS27Wsp5q9yk1B361c+MYatncOIY+XzyOoY9Zqn+qHU/LuWl5H1jLGKrl/p4TqynE1XxTV6pUSXr37p3j/D59+kilSpXMHkvLuan9oaLl3NSMp9V7P6odz1oGamvJzVrWU+0+pebAr3ZuHEMtmxvH0OeLxzH0MUv1T7XjaTk3Le8DaxlDtdzfc2L74r8yzx9Kly6NmTNnYvTo0dnOnzVrFsLCwoyKNXbsWLz55ptYtWoVIiMj4evrCwBISkrC+vXrce7cOSxfvtzssbScm5rbX+u5qRmvZMmS2LdvH0qVKmUw/ccffwQAvPXWW0bnpWYsteOpuc20vD+tJTdrWU+1+9T9+/dha/t/w7JOp8OUKVPQo0cP1K5dGwsWLDA6ltq5cQzlGGqu3LTaR61lDLWWPqV2PC3vA2sZQ7Xc33NiNbcv27RpE958800UKVIk1zd1rVq1jIp34cIFTJkyBbt27UJiYiIAwM/PDxEREejWrRtCQkKMzk3NWFrNTe3tr+Xc1Iw3YsQIbN26FStWrMh2fvfu3TF16lRkZGSYNZba8dTcZlren9aSm7Wsp9p96rXXXsMnn3yCNm3aZJnXo0cPzJ8/HykpKUhPTzd7bhxDOYaaKzet9lFrGUMB6+hTasfT8j6wljFUy/09J1ZTiAPqd14yjZa3v1Y/2K2JNQzU1pSbtaynmsw18D8vrW43a6Hl7a/l/m4tuM0sT8v7wBrG0PzIqgpxovwu816NDg4OmoqVF/GI8hst9wEt50ZkLhxDibRLy30qr/qnXtVoVmTy5MmIjIxEixYtsH79eoN5//33H4oUKWKRWFrPTU1azk1Na9euRePGjeHl5QVnZ2c4OzvDy8sLjRs3xrp16ywWKy/iEeU3edkHUlNTlcFfa7m9KC2PU1rOTU1azk1NHENNZ019Sqv9QKt5qU3Lfcoc/dOqCnG13tQTJkxA7969UbJkSTg4OKBx48YYMWKEMj89PR0XL140eyyt56bmh4qWc1Mz3pw5c9C4cWN4eHhg3LhxWLZsGZYtW4Zx48bB09MTjRs3xs8//2z2WHkRz1oGamvJzRrWU+0+AKg38OdFbhxDOYaaIzc143EMfcxS/VPteFrODdDuPlAzNzVjablP5cUYmq0Xvu56PjF+/HhxdnaWmJgY+fDDD8Xe3l6GDx+uzDfltjBhYWEyf/585fn27dulUKFCMnDgQIvG0nJuam5/reemZjyt3vtR7XhqbjMt709ryc1a1lPtPjV79myxtbWVli1bSlxcnKxYsUJWrFghcXFx0qpVK7Gzs5O5c+daJDeOoRxDzZWbVvuotYyh1tKn1I6n5X1gLWOolvt7TqymEFfzTe3k5CTnz583mHb48GHx9fWVfv36WSyWlnNT+0NFy7mpGU+r935UO561DNTWkpu1rKfafUrNgV/t3DiGcgw1V25a7aPWMoZaS59SO56W94G1jKFa7u85sZpCXM03dVBQkGzZsiXL9KNHj4qvr6+0bdvWIrG0nJvaHypazk3NeJUqVZLevXvnOL9Pnz5SqVIls8dSO561DNTWkpu1rKfafUrNgV/t3DiGcgw1V25a7aPWMoZaS59SO56W94G1jKFa7u85sX3xk9vzh4IFC+LSpUsGl9QvU6YMNmzYgHr16uHy5ctGx6pRowaWLl2KmjVrGkwPCwvD+vXrUbduXYvE0nJuam5/reemZryxY8fizTffxKpVq3K9X6O5Y6kdT81tpuX9aS25Wct6qt2nSpcujZkzZ2L06NHZzp81axbCwsIskhvHUI6h5spNq33UWsZQa+lTasfT8j6wljFUy/09Ry9cyucTrVq1kp49e2Y778iRI1KoUCGjv8E5dOiQzJo1K8f5hw8flsGDB5s9lpZzU3P7az03teOdP39e+vTpI7Vq1ZLixYtL8eLFpVatWtK3b98s30qaM5aa8dTcZlren9aSm7Wsp4i6fWrjxo3i4uIiZcuWldjYWBk5cqSMHDlSYmNjpVy5cuLq6iqbN2+2SG4cQy2bG8fQ54/HMdRy/VPteFrOTcv7wFrGULXjqZ1bdqymEFf7TU2m0fL21/IHu7WwloHaWnKzlvXMC+YY+J+H1rfby07L21/L/d1acJtZnpb3gTWNofmNTkTkxY+rW4+EhAQULlzY6Pb//vsvXnnllTyPpfXc1KTl3IiIKGdaHqe0nJuatJwbWZY19Smt9gOt5kV5wyruI56QkGBS+3///TfHeVWqVEHXrl2xd+/eHNskJydj+vTpKFOmDH799VezxNJybmpuf63npnY8QJv3flQznprbTMv701pys5b1zKR2n1KTWrlxDLVsbhxDnz8ewDH0aebqn2rH03JuWt4H1jaGarm/Z8vSh+TNwcfHR7p06SJ79uzJsc2tW7dk2rRpUrp0aRk/fnyO7f777z+JjY0VDw8P8fX1lcaNG0vnzp2lR48e0rp1a6lYsaLY29tLtWrVZPny5bnmpWYsLeem5vbXem5qx9PqvR/VjKfmNtPy/rSW3KxlPUXU71Mij29R9sYbb8h7770n69atM5h37do1CQ0NNSqOmrlxDOUYaq7ctNxHrWEMtZY+pXY8Le8DaxpDtdzfc2IVp6Zfv34d3377LWbNmgVHR0eEh4cjICAAjo6OuHnzJo4dO4ajR4+iUqVKGDhwIBo3bvzMmPfv38fy5cuxbds2XLx4Effv30fBggVRsWJFREVFoUyZMkbnp2YsLeaWF9tfq7mpHa906dL46quv8MEHHwAAduzYgaZNm6Jbt24YOnQokpKSEBAQgPT09Geuq5qx1Iyn5jbT8v60ltysZT0B9fvUhAkT0L9/f3To0AHJyclYvHgxBg8ejP79+wOAxfo7x1COoebKTct91BrG0Ewve59SO56W94E1jaFa7u85sYpCPJPanZdMo+Xtr8UPdgBwdnbGsWPHDG4TceTIEURGRqJDhw7o2bOn0R8EasbKi3gv+0BtbblZw3qq3QfUHPjVzg3Q9me4NdDy9tdqf+cYqo33h7XQ8j6whjFUy/09Ry98TJ2I8kxQUJBs2bIly/SjR4+Kr6+vtG3b1uhTY9SMlRfxiPIbtfuAk5NTliujHz58WHx9faVfv34mnQrH/knEMZRIy7Tcp8zVP63iYm1E+VWNGjWwdOnSLNPDwsKwfv16rFy50iKx8iIeUX6jdh8oWLAgLl26ZDCtTJky2LBhA+Li4tCnTx+L5UaUH3EMJdIuLfcpc/VPW1WiEFGe6NevH+Lj47OdV7p0aWzYsOGZV8zMi1h5EY8ov1G7D2QO/DVr1jSYnjnw161b12K5EeVHHEOJtEvLfcpc/dOqfiNORESkVX///Tfi4+PRoUOHbOcfOXIEv/76K77++mszZ0ZERERq46npRBql5Xs/5sW9JInyk7zoA+XKlcuxCAcen6ZuTBHO/knEMZRIy7Tcp8zZP1mIE2lUlSpV0LVrV+zduzfHNsnJyZg+fTrKlCmT6ykyasbKi3hE+Y3afUDNgZ/9k4hjKJGWablPmbN/8jfiRBp17NgxfPvtt6hfv/4z79c4evToXO/XqGasvIhHlN+o3QeqVKmCpk2bonPnzqhSpUq2bTLvLT5+/Hh06dIFn376qVlyI8qPOIYSaZeW+5Q5+yd/I06kcVq892NexSPKb9TqA9evX8e3336LWbNmPXPgHzhwoFEDP/snEcdQIi3Tcp8yR/9kIU5ERKQR/MOciIjIOrAQJyIiIiIiIjIjXqyNiIiIiIiIyIxYiBMRERERERGZEQtxIiIiIiIiIjNiIU5ERERERERkRizEiYjI4urUqYOePXtaOg2rFRISgh9++MGkZdq3b4+mTZvmST5kHPYbIqL8i4U4ERHlK5s2bYJOp8OtW7csnQqZ4MKFC9DpdDh48KClUyEiIrI4FuJEREQvgbS0NEunQM+B+42IyDqxECciIrO6e/cu2rZtC1dXV/j7+2Ps2LEG83/++WdUrlwZbm5u8PPzwwcffICrV68CeHxUtW7dugAALy8v6HQ6tG/fHgCQkZGBESNGIDQ0FE5OTihfvjx++eUXo3JKT09Hp06dlGVLlCiB8ePHG7TJPBX7u+++g7+/P7y9vRETE4OHDx8qbSZPnoxXX30Vjo6O8PX1xbvvvgsAWLZsGTw9PZGeng4AOHjwIHQ6Hfr166cs27lzZ3z44YfK823btqFmzZpwcnJCUFAQPv30U9y9e1eZHxISgmHDhqFt27Zwd3dHly5djFru6tWraNKkCZycnBAaGor58+cbtX169eoFT09PeHt7o0+fPhARgzarVq1CjRo1lDZvvvkmzp49q8wPDQ0FAFSsWBE6nQ516tRR5s2YMQOlSpWCo6MjSpYsicmTJz8zp0x9+/ZF8eLF4ezsjCJFimDgwIEG+2Tw4MGoUKECfv75Z4SEhMDDwwMtW7bE7du3lTa//PILypYtCycnJ3h7eyMyMhJ3797FkSNHoNfrce3aNQDAjRs3oNfr0bJlS2XZb775BjVq1FCeHzlyBI0aNYKrqyt8fX3Rpk0b/Pfff8r8OnXqoEePHujZsycKFiyIqKgoo5Z7Vr8hIqL8hYU4ERGZVe/evbF582b88ccfWLNmDTZt2oT9+/cr8x8+fIhhw4bh0KFD+P3333HhwgWl2A4KCsKvv/4KADh58iSuXLmiFMwjRozA3LlzMXXqVBw9ehSxsbH48MMPsXnz5mfmlJGRgcDAQCxZsgTHjh3DoEGD8OWXX2Lx4sUG7TZu3IizZ89i48aNmDNnDmbPno3Zs2cDAPbt24dPP/0UQ4cOxcmTJ7Fq1SrUqlULAFCzZk3cvn0bBw4cAABs3rwZBQsWxKZNm5TYmzdvVorTs2fPomHDhmjevDn+/vtvLFq0CNu2bUOPHj0M8vnuu+9Qvnx5HDhwAAMHDjRqufbt2+PSpUvYuHEjfvnlF0yePFn5oiMnY8eOxezZszFr1ixs27YNN27cwG+//WbQ5u7du+jVqxf27duH9evXQ6/X45133kFGRgYAYM+ePQCAdevW4cqVK1i6dCkAYP78+Rg0aBC+/fZbHD9+HMOHD8fAgQMxZ86cZ+02AICbmxtmz56NY8eOYfz48Zg+fTrGjRtn0Obs2bP4/fffsWzZMixbtgybN2/GyJEjAQBXrlxBq1at0LFjRxw/fhybNm1Cs2bNICIoXbo0vL29lffQ1q1bDZ4/vd9u3bqFevXqoWLFiti3bx9WrVqFpKQktGjRwiCfOXPmwN7eHtu3b8fUqVONWu5Z/YaIiPIZISIiMpPbt2+Lvb29LF68WJl2/fp1cXJyks8++yzbZfbu3SsA5Pbt2yIisnHjRgEgN2/eVNo8ePBAnJ2dZceOHQbLdurUSVq1avVcucbExEjz5s2V5+3atZPg4GB59OiRMu29996T999/X0REfv31V3F3d5eUlJRs41WqVEnGjBkjIiJNmzaVb7/9Vuzt7eX27dvyzz//CAA5deqUkneXLl0Mlt+6davo9Xq5f/++iIgEBwdL06ZNs6xvbsudPHlSAMiePXuU+cePHxcAMm7cuBy3hb+/v4wePVp5/vDhQwkMDJS33347x2WuXbsmAOTw4cMiInL+/HkBIAcOHDBoV7RoUVmwYIHBtGHDhklERESOsXMzZswYCQ8PV55//fXX4uzsbLBfevfuLVWrVhURkfj4eAEgFy5cyDZes2bNJCYmRkREevbsKb179xYvLy85fvy4pKWlibOzs6xZs0bJu0GDBgbLX7p0SQDIyZMnRUSkdu3aUrFixSzrm9tyz9NviIhI22wt9QUAERFZn7NnzyItLQ1Vq1ZVphUoUAAlSpRQnsfHx2Pw4ME4dOgQbt68qRxRTUhIQFhYWLZxz5w5g3v37qF+/foG09PS0lCxYkWjcps0aRJmzZqFhIQE3L9/H2lpaahQoYJBm9KlS8PGxkZ57u/vj8OHDwMA6tevj+DgYBQpUgQNGzZEw4YN8c4778DZ2RkAULt2bWzatAmff/45tm7dihEjRmDx4sXKEeaAgAC8+uqrAIBDhw7h77//NjhtXESQkZGB8+fPo1SpUgCAypUrG+T3rOVOnToFW1tbhIeHK/NLliwJT0/PHLdLcnIyrly5YrDPbG1tUblyZYPT00+fPo1BgwZh9+7d+O+//wz2W5kyZbKNfffuXZw9exadOnXCRx99pEx/9OgRPDw8cszpSYsWLcKECRNw9uxZ3LlzB48ePYK7u7tBm5CQELi5uSnP/f39lbMAypcvjzfeeANly5ZFVFQUGjRogHfffRdeXl4AHu+3adOmAXh89Hv48OE4deoUNm3ahBs3buDhw4eoXr06gMfbf+PGjXB1dc2S59mzZ1G8eHEAMNj+xiyX+X7Mrd8QEVH+wkKciIg04+7du4iKikJUVBTmz5+PQoUKISEhAVFRUble1OrOnTsAgOXLl+OVV14xmOfg4PDM1124cCG++OILjB07FhEREXBzc8OYMWOwe/dug3Z2dnYGz3U6nVJwurm5Yf/+/di0aRPWrFmDQYMGYfDgwdi7dy88PT1Rp04dzJo1C4cOHYKdnR1KliyJOnXqYNOmTbh58yZq165tsD5du3bFp59+miXXwoULK/93cXHJsh1yW+7UqVPP3BbPq0mTJggODsb06dMREBCAjIwMlClTxqj9Nn36dIMiE4DBFx452blzJ1q3bo0hQ4YgKioKHh4eWLhwYZbfT+e232xsbLB27Vrs2LEDa9aswcSJE/HVV19h9+7dCA0NVW4Rdvr0aRw7dgw1atTAiRMnlP1WuXJl5cuWO3fuoEmTJhg1alSWXP39/ZX/Z7ffclvuzJkzz9wWRESUv7AQJyIisylatCjs7Oywe/dupaC8efMmTp06hdq1a+PEiRO4fv06Ro4ciaCgIACPf3v9JHt7ewBQLnwGAGFhYXBwcEBCQoJBQWus7du34/XXX0f37t2VaU9eaMxYtra2iIyMRGRkJL7++mt4enpiw4YNaNasmfI78XHjxik51qlTByNHjsTNmzfx+eefK3EqVaqEY8eOoVixYia9/rOWK1myJB49eoT4+HhUqVIFwOPf2ud2KzgPDw/4+/tj9+7dym/eM2NUqlQJAHD9+nWcPHkS06dPR82aNQE8vmjck7Lbb76+vggICMC5c+fQunVrk9YVAHbs2IHg4GB89dVXyrSLFy+aHEen06F69eqoXr06Bg0ahODgYPz222/o1asXypYtCy8vL3zzzTeoUKECXF1dUadOHYwaNQo3b940uOhcpUqV8OuvvyIkJAS2tsb/ifWs5Z7Vb4iIKP/hxdqIiMhsXF1d0alTJ/Tu3RsbNmzAkSNH0L59e+j1j4ejwoULw97eHhMnTsS5c+fw559/YtiwYQYxgoODodPpsGzZMly7dg137tyBm5sbvvjiC8TGxmLOnDk4e/Ys9u/fj4kTJxp10a9XX30V+/btw+rVq3Hq1CkMHDgQe/fuNWndli1bhgkTJuDgwYO4ePEi5s6di4yMDOX0YS8vL5QrVw7z589XirdatWph//79WQqqvn37YseOHejRowcOHjyI06dP448//shysbanPWu5EiVKoGHDhujatSt2796N+Ph4dO7cGU5OTrnG/eyzzzBy5Ej8/vvvOHHiBLp3725QvHt5ecHb2xvTpk3DmTNnsGHDBvTq1csgho+PD5ycnJQLkSUnJwMAhgwZghEjRmDChAk4deoUDh8+jLi4OHz//ffP3OavvvoqEhISsHDhQpw9exYTJkzIchG5Z9m9ezeGDx+Offv2ISEhAUuXLsW1a9eU0/91Oh1q1aplsN/KlSuH1NRUrF+/3mC/xcTE4MaNG2jVqhX27t2Ls2fPYvXq1ejQoYPBFxBPe9Zyz+o3RESU//ATnIiIzGrMmDGoWbMmmjRpgsjISNSoUUP5zWyhQoUwe/ZsLFmyBGFhYRg5ciS+++47g+VfeeUVDBkyBP369YOvr69SZA4bNgwDBw7EiBEjUKpUKTRs2BDLly9XbpuVm65du6JZs2Z4//33UbVqVVy/ft3g6LgxPD09sXTpUtSrVw+lSpXC1KlT8b///Q+lS5dW2tSuXRvp6elKQVegQAGEhYXBz8/P4Pe+5cqVw+bNm3Hq1CnUrFkTFStWxKBBgxAQEJBrDsYsFxcXh4CAANSuXRvNmjVDly5d4OPjYxCnffv2Bkd6P//8c7Rp0wbt2rVTTt1/5513lPl6vR4LFy5EfHw8ypQpg9jYWIwZM8Ygpq2tLSZMmICffvoJAQEBePvttwE8vm3bjBkzEBcXh7Jly6J27dqYPXu2UfvtrbfeQmxsLHr06IEKFSpgx44dGDhw4DOXe5K7uzu2bNmCxo0bo3jx4hgwYADGjh2LRo0aKW2e3m96vR61atVSjqRnCggIwPbt25Geno4GDRqgbNmy6NmzJzw9PXMtmo1ZLrd+Q0RE+Y9O5KkbgRIREZFVq127NurWrYvBgwdbOhUiIqKXEgtxIiIiUiQnJ6N06dI4ceJEtlfxJiIiohfHU9OJiOil161bN7i6umb76Natm6XT0xQPDw/8888/mijChw8fnuN+e/LUcSIiovyGR8SJiOild/XqVaSkpGQ7z93dPctvpEkbbty4gRs3bmQ7z8nJKcut6oiIiPILFuJEREREREREZsRT04mIiIiIiIjMiIU4ERERERERkRmxECciIiIiIiIyIxbiRERERERERGbEQpyIiIiIiIjIjFiIExEREREREZkRC3EiIiIiIiIiM2IhTkRERERERGRG/w8zP4GNLY6TwwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby([df.date_answered.dt.year, df.date_answered.dt.month]).url.size()\\\n",
    "    .plot(kind=\"bar\", title=\"Count of questions answered by month\", figsize=(12, 3))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Which departments get asked most WQs?\n",
    "\n",
    "DHSC by a factor of two - even before Covid. Note there were departmental splits and merges over the period, particularly in BEIS."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>count</th>\n",
       "      <th>proportion</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>department</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Department of Health and Social Care</th>\n",
       "      <td>39376</td>\n",
       "      <td>19.308018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Foreign, Commonwealth and Development Office</th>\n",
       "      <td>17440</td>\n",
       "      <td>8.551702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Home Office</th>\n",
       "      <td>16181</td>\n",
       "      <td>7.934352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department for Transport</th>\n",
       "      <td>13696</td>\n",
       "      <td>6.715832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department for Business, Energy and Industrial Strategy</th>\n",
       "      <td>13569</td>\n",
       "      <td>6.653558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department for Education</th>\n",
       "      <td>13135</td>\n",
       "      <td>6.440746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Treasury</th>\n",
       "      <td>12138</td>\n",
       "      <td>5.951867</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department for Environment, Food and Rural Affairs</th>\n",
       "      <td>11219</td>\n",
       "      <td>5.501236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Department for Work and Pensions</th>\n",
       "      <td>10708</td>\n",
       "      <td>5.250667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ministry of Defence</th>\n",
       "      <td>10172</td>\n",
       "      <td>4.987839</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    count  proportion\n",
       "department                                                           \n",
       "Department of Health and Social Care                39376   19.308018\n",
       "Foreign, Commonwealth and Development Office        17440    8.551702\n",
       "Home Office                                         16181    7.934352\n",
       "Department for Transport                            13696    6.715832\n",
       "Department for Business, Energy and Industrial ...  13569    6.653558\n",
       "Department for Education                            13135    6.440746\n",
       "Treasury                                            12138    5.951867\n",
       "Department for Environment, Food and Rural Affairs  11219    5.501236\n",
       "Department for Work and Pensions                    10708    5.250667\n",
       "Ministry of Defence                                 10172    4.987839"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.concat([df.department.value_counts().head(10), \n",
    "           df.department.value_counts(normalize=True).head(10) * 100], \n",
    "          axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Chart questions to each major department, by month. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='date_submitted,date_submitted'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_major_department(dept):\n",
    "    if dept != 'Department of Health and Social Care' \\\n",
    "        and dept != 'Home Office' \\\n",
    "        and dept != 'Treasury'\\\n",
    "        and dept != 'Department for Transport' \\\n",
    "        and dept != 'Department for Education'\\\n",
    "        and dept != 'Foreign and Commonwealth Office' \\\n",
    "        and dept != 'Department for Business, Energy and Industrial Strategy' \\\n",
    "        and dept != 'Ministry of Housing, Communities and Local Government':\n",
    "        return 'aaOther'\n",
    "    return dept\n",
    "df['Major department'] = df.department.apply(get_major_department)\n",
    "df.groupby([df.date_submitted.dt.year, df.date_submitted.dt.month, df['Major department']]).url.count()\\\n",
    "    .unstack(level=-1) \\\n",
    "    .plot(kind=\"bar\", stacked=True, figsize=(14,5))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Who asks the most WQs?\n",
    "\n",
    "Shadow ministers tend to ask lots, unsurprisingly. Some opposition backbenchers can be very active too."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1163 people asked questions over the period\n"
     ]
    }
   ],
   "source": [
    "print(len(df.question_speaker.value_counts()), \"people asked questions over the period\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "question_speaker        question_position                                                       \n",
       "Rachael Maskell         Labour/Co-operative, York Central                                           3961\n",
       "John Healey             Shadow Secretary of State for Defence                                       2729\n",
       "Jim Shannon             Shadow DUP Spokesperson (Human Rights), Shadow DUP Spokesperson (Health)    2702\n",
       "Tan Dhesi               Shadow Minister (Transport)                                                 2220\n",
       "Rachael Maskell         Shadow Minister (Digital, Culture, Media and Sport)                         2076\n",
       "Caroline Lucas          Green, Brighton, Pavilion                                                   2062\n",
       "Kevan Jones             Labour, North Durham                                                        2029\n",
       "Matthew Offord          Conservative, Hendon                                                        1898\n",
       "Andrew Rosindell        Conservative, Romford                                                       1870\n",
       "Lord Taylor of Warwick  Non-affiliated                                                              1639\n",
       "Name: url, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.groupby(['question_speaker', 'question_position']).url.count().sort_values(ascending=False).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Utility: Save a particular department's WQs, to read\n",
    "\n",
    "Convenience code for outputing a particular department's WQs, without superfluous columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.question_text = df.question_text.str.strip()\n",
    "cols_in_order = [\n",
    "    'title', 'url',\n",
    "    'question_text', 'answer_text',\n",
    "    'is_quantitative', 'contains_not_held_string',\n",
    "    'contains_not_held_string_and_isquant',\n",
    "    'contains_not_possible_string',\n",
    "    'date_submitted', 'date_answered',\n",
    "    'question_speaker', 'question_position',\n",
    "    'answer_speaker', 'answer_position',\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "department = {\n",
    "    \"name\": \"Department of Health and Social Care\",\n",
    "    \"acronym\": \"dhsc\"\n",
    "}\n",
    "\n",
    "df_for_department = df[(df.department == department['name'])][cols_in_order]\n",
    "df_for_department.to_csv('./data/by_department/%s.csv' % department['acronym'], index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "39376 questions to Department of Health and Social Care in this Parliament\n",
      "6659 were quantitative\n",
      "2806 of those were marked as unanswered\n"
     ]
    }
   ],
   "source": [
    "print(len(df_for_department), \"questions to %s in this Parliament\" % department['name'])\n",
    "print(len(df_for_department[df_for_department.is_quantitative]), \"were quantitative\")\n",
    "print(len(df_for_department[df_for_department.contains_not_held_string_and_isquant]), \"of those were marked as unanswered\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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