Insights_potus_Resonance_Novelty_and_distance_and_direction_in_N_vs_T_space.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Sp9aU170hyRZ"
   },
   "source": [
    "# Measuring the impact of a speech"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "importing helper functions\n"
     ]
    }
   ],
   "source": [
    "# %%\n",
    "\n",
    "import helpers.potus as corp\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import helpers.process as process\n",
    "from helpers import io as pickle_io\n",
    "import sys\n",
    "import datetime\n",
    "import gc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "fname = '/home/azureuser/cloudfiles/code/data/processing/potus/experiment/potus_50t_600_10/speeches_avg_window_dfr_potus_50t_600_10_klds.pkl'\n",
    "\n",
    "df = pd.read_pickle(fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      speaker                   file_name  \\\n",
      "50  jefferson  jefferson_speeches_021.txt   \n",
      "51  jefferson  jefferson_speeches_020.txt   \n",
      "52  jefferson  jefferson_speeches_023.txt   \n",
      "53    madison    madison_speeches_002.txt   \n",
      "54  jefferson  jefferson_speeches_022.txt   \n",
      "\n",
      "                                            raw_tuple  \\\n",
      "50  (Proclamation in Response to the Chesapeake Af...   \n",
      "51  (Seventh Annual Message, 1807-10-27, To the Se...   \n",
      "52  (Eighth Annual Message, 1808-11-08, <br> TO TH...   \n",
      "53  (First Inaugural Address, 1809-03-04, Unwillin...   \n",
      "54  (Message to the Inhabitants of Albemarle Count...   \n",
      "\n",
      "                                                title       date  \\\n",
      "50  Proclamation in Response to the Chesapeake Affair 1807-07-02   \n",
      "51                             Seventh Annual Message 1807-10-27   \n",
      "52                              Eighth Annual Message 1808-11-08   \n",
      "53                            First Inaugural Address 1809-03-04   \n",
      "54     Message to the Inhabitants of Albemarle County 1809-04-03   \n",
      "\n",
      "                                               speech  speech_len  \\\n",
      "50  During the wars which for some time have unhap...        6932   \n",
      "51  To the Senate and House of Representatives of ...       14142   \n",
      "52  <br> TO THE SENATE AND HOUSE OF REPRESENTATIVE...       16380   \n",
      "53  Unwilling to depart from examples of the most ...        6992   \n",
      "54  Returning to the scenes of my birth and early ...        1916   \n",
      "\n",
      "                                                probs  token_count   novelty  \\\n",
      "50  [0.00021882, 1.536e-05, 0.13058707, 0.10535251...         5954  1.982857   \n",
      "51  [0.00010395, 7.3e-06, 0.4210684, 9.907e-05, 0....          903  1.583809   \n",
      "52  [8.897e-05, 6.24e-06, 0.35582423, 0.00222353, ...         1607  1.291878   \n",
      "53  [0.00020349, 1.428e-05, 0.00030269, 0.00428028...          353  1.462758   \n",
      "54  [0.00078371, 5.5e-05, 0.00116491, 0.00074696, ...         1082  1.824285   \n",
      "\n",
      "    resonance  transience  \n",
      "50   0.191708    1.791149  \n",
      "51   0.639898    0.943911  \n",
      "52   0.526285    0.765593  \n",
      "53   0.060125    1.402633  \n",
      "54  -0.079077    1.903361  \n",
      "    speaker                file_name  \\\n",
      "907  gwbush  gwbush_speeches_032.txt   \n",
      "908  gwbush  gwbush_speeches_034.txt   \n",
      "909   obama   obama_speeches_002.txt   \n",
      "910  gwbush  gwbush_speeches_033.txt   \n",
      "911   obama   obama_speeches_000.txt   \n",
      "\n",
      "                                             raw_tuple  \\\n",
      "907  (State of the Union Address, 2008-01-28, Madam...   \n",
      "908  (Remarks on the War on Terror, 2008-03-19, Tha...   \n",
      "909  (Acceptance Speech at the Democratic National ...   \n",
      "910  (Remarks on Emergency Economic Stabilization A...   \n",
      "911  (Remarks on Election Night, 2008-11-04, If the...   \n",
      "\n",
      "                                                 title       date  \\\n",
      "907                         State of the Union Address 2008-01-28   \n",
      "908                       Remarks on the War on Terror 2008-03-19   \n",
      "909  Acceptance Speech at the Democratic National C... 2008-08-28   \n",
      "910  Remarks on Emergency Economic Stabilization Ac... 2008-10-03   \n",
      "911                          Remarks on Election Night 2008-11-04   \n",
      "\n",
      "                                                speech  speech_len  \\\n",
      "907  Madam Speaker, Vice President Cheney, members ...       33649   \n",
      "908  Thank you all. Deputy Secretary England, thank...       18532   \n",
      "909  To Chairman Dean and my great friend Dick Durb...       25901   \n",
      "910  A short time ago, the House of Representatives...        4198   \n",
      "911  If there is anyone out there who still doubts ...       10517   \n",
      "\n",
      "                                                 probs  token_count   novelty  \\\n",
      "907  [4.038e-05, 2.83e-06, 6.005e-05, 3.848e-05, 9....         3746  2.340662   \n",
      "908  [6.925e-05, 4.86e-06, 0.00010303, 0.00375672, ...          345  2.382018   \n",
      "909  [5.656e-05, 3.97e-06, 8.407e-05, 5.391e-05, 0....          595  2.547905   \n",
      "910  [0.00029651, 2.081e-05, 0.00044073, 0.0002826,...          561  3.749902   \n",
      "911  [0.00015364, 1.078e-05, 0.00022836, 0.00014643...          547  2.381272   \n",
      "\n",
      "     resonance  transience  \n",
      "907   0.302614    2.038047  \n",
      "908  -0.375449    2.757467  \n",
      "909   0.825559    1.722346  \n",
      "910   1.009833    2.740068  \n",
      "911   0.603030    1.778242  \n"
     ]
    }
   ],
   "source": [
    "# best that we remove the n speeches at each end, since they do not have complete metrics\n",
    "\n",
    "n = 50\n",
    "e = 962-n\n",
    "\n",
    "trim_df = df[n:e].copy()\n",
    "\n",
    "print(trim_df.head())\n",
    "\n",
    "print(trim_df.tail())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as pyplot\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "\n",
    "p = pyplot.hist2d(x=df['novelty'], y=df['transience'], bins=(150, 150), cmap = 'YlOrBr')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ab3c01b38>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.histplot(x=df['novelty'], y=df['transience'], cmap=plt.cm.jet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f2ab3d19390>]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "cmap = plt.cm.get_cmap('OrRd')\n",
    "\n",
    "# between 0 and 1, 0 for the leftmost color of the range, 1 for the rightmost, upper > lower\n",
    "upper_color = 1.0\n",
    "lower_color = 0.2\n",
    "num_colors =  15 # len(self.data.columns)\n",
    "colors = cmap(np.linspace(lower_color, upper_color, num_colors))\n",
    "\n",
    "\n",
    "b = sns.kdeplot(x=df['novelty'], y=df['transience'], fill=True, colors=colors, thresh=0.015, alpha=1)\n",
    "b.set_ylabel(\"Transience\",fontsize=20)\n",
    "b.set_xlabel(\"Novelty\",fontsize=20)\n",
    "b.tick_params(labelsize=12)\n",
    "y_lim = plt.ylim()\n",
    "x_lim = plt.xlim()\n",
    "plt.plot(x_lim, y_lim, color = '#dadada', alpha = 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f2ab3b6d8d0>]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "b = sns.kdeplot(x=df['novelty'], y=df['resonance'], fill=True, colors=colors, thresh=0.015, alpha=1)\n",
    "b.set_ylabel(\"Resonance\",fontsize=20)\n",
    "b.set_xlabel(\"Novelty\",fontsize=20)\n",
    "b.tick_params(labelsize=12)\n",
    "plt.ylim(-5,5)\n",
    "y_lim = [0,0]\n",
    "x_lim = plt.xlim()\n",
    "plt.plot(x_lim, y_lim, color = '#dadada', alpha = 0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = pyplot.hist2d(x=df['novelty'], y=df['resonance'], bins=(200, 200), cmap=plt.cm.jet)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ab3fc6c88>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(x=df['novelty'], y=df['resonance'], fill=True, cmap=plt.cm.jet, bins=(150,150))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2ab3faeda0>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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4NP0yEB1DkwdmS9EpoJdJ2kfSNZIUET+zvW1rVaGTaPBAtxQNgAcjImyHJNnepsWaOoNRAE0f6LKJV/K4t17Dxf2rgLaz/SZJV0j6TNvFdUGuDTDi0GzfO7BUTBwB9I/8j5B0nKR71TsP8N6IuLzt4roip5EATR9YOopOAX1P0t0RUfnSz6VuqYcAjR9YeooGwAGS/tL27ZJ+tfBkROzVSlUdtRRDgMYPLF1FA+DgVqtYQhYaZpeDgKYP5KHoB8Fub7uQpaZrowGaPpCfoiMAVDDLowEaPgACYApSjgZo9ABGIQCmpK3RAA0eQFUEwJTVDQIaPoCmEACJDDbyUWFAswfQJgJgBtDoAaRQ+a5eAIBuIwAAIFMEAABkigAAgEwRAACQKQIAADJFAABApggAAMgUAQAAmUoSALZPtn2j7WttX2B7uxR1AEDOUo0ALpe0Z/+WkjdLOj5RHQCQrSQBEBGXRcSG/sOrJe2Yog4AyNksnAN4vaRLRv3Q9krb87bn169fP8WyAGBpa201UNtXSHrikB+dEBEX9n/nBEkbJJ09ajsRsUrSKkmam5uLFkoFgCy1FgARceC4n9s+RtIhkl4YETR2AJiyJPcDsH2QpOMk/UlE3J+iBgDIXapzAJ+UtK2ky22vsX1qojoAIFtJRgAR8fsp9gsA2GgWrgICACRAAABApggAAMgUAQAAmSIAACBTBAAAZIoAAIBMEQAAkCkCAAAyRQAAQKYIAADIFAEAAJkiAAAgUwQAAGSKAACATBEAAJApAgAAMkUAAECmCAAAyBQBAACZIgAAIFMEAABkigAAgEwRAACQKQIAADJFAABAppIEgO33277W9hrbl9l+coo6ACBnqUYAJ0fEXhGxt6SLJb03UR0AkK0kARAR9w483EZSpKgDAHK2Vaod2/6ApKMl3SPpgDG/t1LSSklavnz5dIoDgAw4op2Db9tXSHrikB+dEBEXDvze8ZIeFREnTtrm3NxczM/PN1glACx9tldHxNzi51sbAUTEgQV/9YuSviFpYgAAAJqT6iqgXQceHibpxhR1AEDOUp0D+KDt3SU9JOl2SW9OVAcAZCtJAETEK1LsFwCwEZ8EBoBMEQAAkCkCAAAyRQAAQKYIAADIFAEAAJkiAAAgUwQAAGSKAACATBEAAJApAgAAMkUAAECmCAAAyBQBAACZIgAAIFMEAABkigAAgEwRAACQKQIAADJFAABApggAAMiUIyJ1DYXZXi/p9insantJP5/CftpC/el1/T10vX6p+++hyfqfEhHLFj/ZqQCYFtvzETGXuo6qqD+9rr+Hrtcvdf89TKN+poAAIFMEAABkigAYblXqAmqi/vS6/h66Xr/U/ffQev2cAwCATDECAIBMEQAAkCkCYIDtg2zfZPtW2+9KXU9ZtneyfZXttbZvsP321DVVYXtL2/9p++LUtZRlezvbX7F9Y//v4Y9S11SW7b/t//u53vY5th+VuqZxbH/O9l22rx947ndtX277lv6fj09Z4yQj3sPJ/X9H19q+wPZ2Te+XAOizvaWkT0k6WNIekl5je4+0VZW2QdI7IuJpkp4j6W86+B4k6e2S1qYuoqJ/kvTNiPgDSc9Ux96H7R0kvU3SXETsKWlLSUemrWqi0yUdtOi5d0m6MiJ2lXRl//EsO12bv4fLJe0ZEXtJulnS8U3vlADY6NmSbo2I2yLiQUnnSjo8cU2lRMSdEXFN//v71Gs+O6StqhzbO0p6qaTTUtdSlu3fkfR8SZ+VpIh4MCLuTltVJVtJerTtrSQ9RtLPEtczVkR8R9IvFj19uKQz+t+fIemIqRZV0rD3EBGXRcSG/sOrJe3Y9H4JgI12kHTHwON16ljzHGR7haR9JH0/bSWlfUzS30l6KHUhFewiab2kz/ensE6zvU3qosqIiJ9K+rCkn0i6U9I9EXFZ2qoq+b2IuFPqHRhJekLieup6vaRLmt4oAbCRhzzXyWtkbT9W0lclHRsR96aupyjbh0i6KyJWp66loq0k7SvplIjYR9KvNPtTD5voz5UfLmlnSU+WtI3tv0hbVd5sn6De9O7ZTW+bANhonaSdBh7vqBkf+g5je2v1mv/ZEXF+6npK2l/SYbb/W70puBfY/kLakkpZJ2ldRCyMur6iXiB0yYGSfhwR6yPiN5LOl/THiWuq4n9tP0mS+n/elbieSmwfI+kQSX8eLXxoiwDY6AeSdrW9s+1HqHfi6+uJayrFttWbf14bER9JXU9ZEXF8ROwYESvU++//rYjozNFnRPyPpDts795/6oWSfpiwpCp+Iuk5th/T//f0QnXsRHbf1yUd0//+GEkXJqylEtsHSTpO0mERcX8b+yAA+vonW94i6VL1/sGfFxE3pK2qtP0lHaXekfOa/tdLUheVmbdKOtv2tZL2lnRS4npK6Y9eviLpGknXqdcjZnpJBdvnSPqepN1tr7P9BkkflPQi27dIelH/8cwa8R4+KWlbSZf3/18+tfH9shQEAOSJEQAAZIoAAIBMEQAAkCkCAAAyRQAAQKYIAKBltk+3/cr+98fafkzqmgCJAACm7Vj1FlgDkiMAkD3bK/pr93+mvw7+ZbYfbXtv21cPrMf+eNtPs/0fi157bf/7/Wx/2/Zq25cuLEUw8LtvU299nav69214g+2PDvz8TbY79wludBcBAPTsKulTEfF0SXdLeoWkMyUd11+P/TpJJ0bEWkmPsL1L/3WvlnRefw2mT0h6ZUTsJ+lzkj4wuIOI+Lh660sdEBEHqLfe0WH910rS6yR9vs03CQzaKnUBwIz4cUSs6X+/WtJTJW0XEd/uP3eGpC/3vz9P0qvUW17g1f2v3SXtqd7H9qXejVTuHLfDiPiV7W9JOsT2WklbR8R1zb0lYDwCAOh5YOD730oad/u9L0n6su3zJUVE3GL7GZJuiIiyt4A8TdK7Jd0ojv4xZUwBAcPdI+mXtp/Xf3yUpG9LUkT8SL2QeI96YSBJN0latnAPYNtb2376kO3ep94CX+pv6/vqLUP+WknntPA+gJEYAQCjHSPp1P5lm7epN0e/4EuSTlbvximKiAf7l3p+3Pbj1Pt/62OSFq8ou0rSJbbv7J8HkHpTSntHxC/beyvA5lgNFEjM9sWSPhoRV6auBXlhCghIxPZ2tm+W9H80f6TACAAAMsUIAAAyRQAAQKYIAADIFAEAAJkiAAAgU/8Psc6qU27PLz4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(x=df['novelty'], y=df['resonance'], fill=True, cmap=plt.cm.jet)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# From here onwards... various experiments with different ways of displaying and assessing responace metrics\n",
    "\n",
    "# KEEP IT FOR LATER\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "u8nwGb9_h7Jr"
   },
   "source": [
    "## Proposal 1: \n",
    "\n",
    "Four quadrants, each representing a type of impact, and a distance from the median to represent the strength of the measure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "C4Q8vtSeXtpJ"
   },
   "outputs": [],
   "source": [
    "def whichQuadrant(n, t, n_50, t_50): \n",
    "\n",
    "  n = n > n_50\n",
    "  t = t > t_50\n",
    "\n",
    "  if n and t:\n",
    "    q = 'hNhT_shortlived'\n",
    "  elif n:\n",
    "    q = 'hNlT_resonant'\n",
    "  elif t:\n",
    "    q = 'lNhT_ending'\n",
    "  else:\n",
    "    q = 'lNlT_flow'\n",
    "  return (q)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# make a fake df for testing\n",
    "\n",
    "\n",
    "#from scipy.spatial.distance import cdist\n",
    "#import numpy as np\n",
    "#import pandas as pd\n",
    "#import random\n",
    "\n",
    "# fake data\n",
    "#array = [(3.09489631417311, 0.582942380640366), (1.89323512018738, 0.254879631266967), (3.39478426198662, 0.975121895575739), (0.131954874787221, 0.29516477731306), (0.455446609636955, 2.02005518319647), (0.862055947876944, 0.118108104398488), (1.37328693241597, 1.5842017215469), (0.403657489695134, 0.787856941632538), (1.94972212790814, 0.0193776630144199), (1.42210150446108, 2.86995485609879), (1.89419738795409, 0.48255891277842), (1.96797575929161, 0.58796827335421), (0.525222233009016, 1.21497245584538), (0.20475673866358, 2.31232599669092), (0.270186107971087, 0.114720899899513), (1.24478135207329, 1.56999165780057), (1.38820421800893, 0.191632637651829), (0.00290224740057211, 0.918138498889922), (0.911410714923022, 1.0371644198529), (0.288706004549853, 2.33904209834485), (1.16637994921893, 0.0535413825679699), (1.53737092252591, 2.55499480578174), (0.888463113867756, 0.319889221061646), (2.73240831273081, 2.63006280670163), (0.0374460485962226, 0.152054089279477), (0.967272805433058, 0.341561440141513), (0.356298494773474, 0.446615196706775), (2.30647658202255, 0.551268049477479), (1.56897537391303, 0.0219585516154205), (0.266692778911153, 0.0117776973593027), (1.24119293149866, 0.572344750742452), (0.400074781449386, 3.34948242054643), (1.25851730041176, 1.11447052476381), (0.482069909072815, 0.684878068356402), (0.139659798650414, 0.618916154778072), (1.16608883950084, 0.306818098821719), (0.184424691585236, 0.0549241473530484), (0.407544152365194, 0.532780494769973), (0.00327835347134679, 1.07361876167349), (0.304725616979394, 0.965043894093231), (3.07225726009717, 0.182059835231864), (0.937341116430549, 1.69332214003401), (0.755928316108864, 1.50699569628252), (0.00217667321758915, 0.694123868138978), (0.316918815179041, 1.62482696296295), (0.677800276097981, 1.0763996687556), (0.0724119516417585, 0.116029292196778), (0.519980645764413, 0.803254330104196), (1.41483120602504, 0.677119058907597), (0.0180474008587901, 0.97380456179083), (0.513742072946714, 0.0364692519893132), (0.104963770154495, 2.58084965675961), (0.15902302971777, 1.29128077482184), (1.6384461312324, 0.930815572056261), (1.09536191014328, 0.951064069046806), (0.74707322992946, 2.1118389424644), (0.041649594451474, 0.140280842540543), (0.786085273449117, 0.464106974785531), (2.8134552595159, 1.29716126756847), (1.89117144116722, 3.00253243426067), (0.346636889146523, 0.243617740972532), (2.14695218237879, 2.80405629761809), (1.10572150157338, 2.09067282236357), (0.426579767017728, 1.95459362572357), (0.518979416688769, 0.322146895254425), (1.29233400584083, 0.500602967096445), (0.0721999158088876, 2.69489761492292), (0.451166238360507, 0.97753374752404), (3.29628921111525, 1.18983767644147), (1.36006419122543, 0.140139144816723), (1.40577238831851, 1.22106011147033), (0.149408549582453, 0.682383879467251), (0.843106916919855, 1.74104522360883), (0.172289620653067, 2.75914542748868), (1.65603018095955, 1.09270685091369), (0.888777796850306, 2.8026600700486), (0.373029205577724, 1.98009439367903), (0.00782371706987301, 3.28208148709799), (3.02099213539077, 2.20754317763732), (1.58294272133189, 1.84733501708562), (1.36208391762114, 2.76761435593808), (0.386021620306881, 1.3018122104497), (0.889774103967363, 0.198245417029601), (1.9674258437388, 0.444170390070319), (2.94557069840714, 1.42869178556894), (2.64482324824439, 0.428268906166751), (0.906851938523369, 0.201973078249868), (2.03751627579881, 0.576837803595763), (0.0694344014956747, 0.251006198025895), (1.91538394636557, 0.220732578337025), (1.03752599227736, 0.0982465143227159), (2.84009194408339, 0.257343008620609), (1.35902795801654, 0.658019385856038), (0.478487695042466, 0.706482540306176), (1.24927778932338, 0.913588586880767), (0.2921920624563, 0.0587601642061468), (0.845994343113662, 1.03472427849463), (0.947121738100888, 1.72144811053148), (0.960653365706374, 0.841851182739559), (1.89492512436055, 0.25261058862734), (0.816827537306552, 1.97685719886936), (2.1449653947829, 1.11327308758533), (0.914864259170633, 0.00912764867757045), (0.355056317699421, 1.90080889365944), (3.10572934889499, 0.547654569932173), (1.50340301306364, 0.92467392023664), (2.25202555370745, 1.64332580540294), (0.146972087560615, 0.625348413353285), (0.501670405293217, 2.40695319893031), (3.51946672276268, 1.68761715986951), (2.29928178322651, 1.50212613601114), (0.616558869125566, 1.01639335614926), (3.13910834566821, 0.238534715101568), (0.201091635291765, 0.78912700006107), (0.606878122058399, 3.6477880591434), (0.596609091037207, 0.2972400091663)]\n",
    "\n",
    "#fake party data\n",
    "#party_list = ['ALP', 'LP', 'Nat', 'AG', 'IND','ALP', 'LP','ALP', 'LP','ALP', 'LP','ALP', 'LP','ALP', 'LP','ALP', 'LP','ALP', 'LP', 'AG', 'Nat', 'Nat']\n",
    "#party = [random.sample(party_list, 1)[0] for p in array]\n",
    "\n",
    "# make Novelty and Transience\n",
    "#Ns = [p[0] for p in array]\n",
    "#Ts = [p[1] for p in array]\n",
    "#Rs = [p[0] - p[1] for p in array]\n",
    "\n",
    "# fake df\n",
    "#df = pd.DataFrame({'novelty': Ns,\n",
    "#                   'transience': Ts,\n",
    "#                   'resonance': Rs,\n",
    "#                   'party': party})\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# NAH...\n",
    "# Let's use real data now\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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       "3                  Second Annual Message to Congress  1790-12-08   \n",
       "4  Talk to the Chiefs and Counselors of the Senec...  1790-12-29   \n",
       "\n",
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       "3  Fellow citizens of the Senate and House of Rep...        8383   \n",
       "4  I the President of the United States, by my ow...        7898   \n",
       "\n",
       "                                               probs  token_count   novelty  \\\n",
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       "\n",
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       "4    2.116694  -0.409315  "
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     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "df.head()"
   ]
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    "outputId": "c91e17ba-d05f-4a46-fa7f-b01485bd047d"
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   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
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       "      <td>100.000000</td>\n",
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       "      <td>washington_speeches_001.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_002.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Talk to the Chiefs and Counselors of the Sene...</td>\n",
       "      <td>Talk to the Chiefs and Counselors of the Senec...</td>\n",
       "      <td>1790-12-29</td>\n",
       "      <td>I the President of the United States, by my ow...</td>\n",
       "      <td>7898</td>\n",
       "      <td>[0.00035553, 1.044e-05, 0.00020499, 0.00010742...</td>\n",
       "      <td>607</td>\n",
       "      <td>1.707379</td>\n",
       "      <td>2.116694</td>\n",
       "      <td>-0.409315</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>1.121689</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_007.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Third Annual Message to Congress, 1791-10-25,...</td>\n",
       "      <td>Third Annual Message to Congress</td>\n",
       "      <td>1791-10-25</td>\n",
       "      <td>I meet you, upon the present occasion, with th...</td>\n",
       "      <td>13965</td>\n",
       "      <td>[0.01726666, 5.18e-06, 0.02395631, 5.333e-05, ...</td>\n",
       "      <td>836</td>\n",
       "      <td>1.080824</td>\n",
       "      <td>0.951652</td>\n",
       "      <td>0.129171</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>2.323823</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_006.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Veto Message on Congressional Redistricting, ...</td>\n",
       "      <td>Veto Message on Congressional Redistricting</td>\n",
       "      <td>1792-04-05</td>\n",
       "      <td>Gentlemen of the House of Representatives: I h...</td>\n",
       "      <td>991</td>\n",
       "      <td>[0.00229693, 6.769e-05, 0.00132877, 0.00069634...</td>\n",
       "      <td>537</td>\n",
       "      <td>4.062692</td>\n",
       "      <td>4.706109</td>\n",
       "      <td>-0.643416</td>\n",
       "      <td>hNhT_shortlived</td>\n",
       "      <td>2.498762</td>\n",
       "      <td>2.220539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_005.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Fourth Annual Message to Congress, 1792-11-06...</td>\n",
       "      <td>Fourth Annual Message to Congress</td>\n",
       "      <td>1792-11-06</td>\n",
       "      <td>Fellow-Citizens of the Senate, and of the Hous...</td>\n",
       "      <td>14254</td>\n",
       "      <td>[0.00420348, 4.94e-06, 0.0246952, 0.01343063, ...</td>\n",
       "      <td>126</td>\n",
       "      <td>1.594731</td>\n",
       "      <td>1.091092</td>\n",
       "      <td>0.503640</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>1.881313</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_008.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Proclamation Against Crimes Against the Chero...</td>\n",
       "      <td>Proclamation Against Crimes Against the Cherok...</td>\n",
       "      <td>1792-12-12</td>\n",
       "      <td>Whereas I have received authentic information,...</td>\n",
       "      <td>1145</td>\n",
       "      <td>[0.00185744, 5.457e-05, 0.00107109, 0.04349534...</td>\n",
       "      <td>553</td>\n",
       "      <td>2.260842</td>\n",
       "      <td>2.302155</td>\n",
       "      <td>-0.041314</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>0.546763</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_009.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Second Inaugural Address, 1793-03-04, Fellow-...</td>\n",
       "      <td>Second Inaugural Address</td>\n",
       "      <td>1793-03-04</td>\n",
       "      <td>Fellow-Citizens:\\nI am again called upon by th...</td>\n",
       "      <td>791</td>\n",
       "      <td>[0.00296846, 8.729e-05, 0.00171334, 0.00089787...</td>\n",
       "      <td>1227</td>\n",
       "      <td>4.649143</td>\n",
       "      <td>4.711119</td>\n",
       "      <td>-0.061976</td>\n",
       "      <td>hNhT_shortlived</td>\n",
       "      <td>2.860661</td>\n",
       "      <td>2.220539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_011.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Proclamation of Neutrality, 1793-04-22, Where...</td>\n",
       "      <td>Proclamation of Neutrality</td>\n",
       "      <td>1793-04-22</td>\n",
       "      <td>Whereas it appears that a state of war exists ...</td>\n",
       "      <td>1424</td>\n",
       "      <td>[0.07525636, 5.455e-05, 0.00107066, 0.0493378,...</td>\n",
       "      <td>202</td>\n",
       "      <td>2.211345</td>\n",
       "      <td>2.423040</td>\n",
       "      <td>-0.211695</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>0.538363</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_010.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Fifth Annual Message to Congress, 1793-12-03,...</td>\n",
       "      <td>Fifth Annual Message to Congress</td>\n",
       "      <td>1793-12-03</td>\n",
       "      <td>\\nFellow Citizens of the Senate and of the Hou...</td>\n",
       "      <td>11624</td>\n",
       "      <td>[0.03259392, 6.07e-06, 0.00011917, 6.245e-05, ...</td>\n",
       "      <td>5587</td>\n",
       "      <td>1.046198</td>\n",
       "      <td>0.901238</td>\n",
       "      <td>0.144960</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>2.384006</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_012.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Proclamation against Opposition to Execution ...</td>\n",
       "      <td>Proclamation against Opposition to Execution o...</td>\n",
       "      <td>1794-08-07</td>\n",
       "      <td>Whereas combinations to defeat the execution o...</td>\n",
       "      <td>7744</td>\n",
       "      <td>[0.00030113, 8.85e-06, 0.00017379, 0.02627328,...</td>\n",
       "      <td>502</td>\n",
       "      <td>2.109761</td>\n",
       "      <td>2.642200</td>\n",
       "      <td>-0.532439</td>\n",
       "      <td>lNhT_ending</td>\n",
       "      <td>0.612091</td>\n",
       "      <td>0.691072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_013.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Proclamation of Militia Service, 1794-09-25, ...</td>\n",
       "      <td>Proclamation of Militia Service</td>\n",
       "      <td>1794-09-25</td>\n",
       "      <td>Whereas, from a hope that the combinations aga...</td>\n",
       "      <td>4091</td>\n",
       "      <td>[0.00066124, 1.935e-05, 0.00037984, 0.00019905...</td>\n",
       "      <td>320</td>\n",
       "      <td>1.403535</td>\n",
       "      <td>1.810006</td>\n",
       "      <td>-0.406471</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>1.534817</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_014.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Sixth Annual Message to Congress, 1794-11-19,...</td>\n",
       "      <td>Sixth Annual Message to Congress</td>\n",
       "      <td>1794-11-19</td>\n",
       "      <td>Fellow Citizens of the Senate and of the House...</td>\n",
       "      <td>17776</td>\n",
       "      <td>[0.04142031, 4.02e-06, 7.892e-05, 0.01373889, ...</td>\n",
       "      <td>701</td>\n",
       "      <td>0.985181</td>\n",
       "      <td>1.231702</td>\n",
       "      <td>-0.246521</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>2.208825</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_015.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Proclamation of Pardons in Western Pennsylvan...</td>\n",
       "      <td>Proclamation of Pardons in Western Pennsylvania</td>\n",
       "      <td>1795-07-10</td>\n",
       "      <td>Whereas the commissioners appointed by the Pre...</td>\n",
       "      <td>2357</td>\n",
       "      <td>[0.00096716, 2.847e-05, 0.00055876, 0.06435752...</td>\n",
       "      <td>4319</td>\n",
       "      <td>3.834342</td>\n",
       "      <td>4.936726</td>\n",
       "      <td>-1.102383</td>\n",
       "      <td>hNhT_shortlived</td>\n",
       "      <td>2.590008</td>\n",
       "      <td>2.220539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_016.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Seventh Annual Message to Congress, 1795-12-0...</td>\n",
       "      <td>Seventh Annual Message to Congress</td>\n",
       "      <td>1795-12-08</td>\n",
       "      <td>I trust I do not deceive myself when I indulge...</td>\n",
       "      <td>12159</td>\n",
       "      <td>[0.01529245, 5.56e-06, 0.00933022, 5.719e-05, ...</td>\n",
       "      <td>3858</td>\n",
       "      <td>1.061973</td>\n",
       "      <td>0.912884</td>\n",
       "      <td>0.149089</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>2.364638</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_018.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Message to the House of Representatives, Decl...</td>\n",
       "      <td>Message to the House of Representatives, Decli...</td>\n",
       "      <td>1796-03-30</td>\n",
       "      <td>Gentlemen of the House of Representatives:\\nWi...</td>\n",
       "      <td>6388</td>\n",
       "      <td>[0.00039745, 1.169e-05, 0.00022941, 0.00012022...</td>\n",
       "      <td>3545</td>\n",
       "      <td>2.161080</td>\n",
       "      <td>2.191290</td>\n",
       "      <td>-0.030210</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>0.691799</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_019.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Talk to the Cherokee Nation, 1796-08-29, Belo...</td>\n",
       "      <td>Talk to the Cherokee Nation</td>\n",
       "      <td>1796-08-29</td>\n",
       "      <td>Beloved Cherokees,\\nMany years have passed sin...</td>\n",
       "      <td>8715</td>\n",
       "      <td>[0.00029128, 8.56e-06, 0.00016801, 8.804e-05, ...</td>\n",
       "      <td>121</td>\n",
       "      <td>2.889551</td>\n",
       "      <td>3.103960</td>\n",
       "      <td>-0.214409</td>\n",
       "      <td>hNhT_shortlived</td>\n",
       "      <td>0.532993</td>\n",
       "      <td>2.220539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>washington</td>\n",
       "      <td>washington_speeches_017.txt</td>\n",
       "      <td>/home/azureuser/cloudfiles/code/data/raw/potus...</td>\n",
       "      <td>(Farewell Address, 1796-09-19, The period for ...</td>\n",
       "      <td>Farewell Address</td>\n",
       "      <td>1796-09-19</td>\n",
       "      <td>The period for a new election of a citizen to ...</td>\n",
       "      <td>36631</td>\n",
       "      <td>[0.0630194, 1.9e-06, 0.00216856, 1.95e-05, 0.0...</td>\n",
       "      <td>828</td>\n",
       "      <td>1.233488</td>\n",
       "      <td>1.372831</td>\n",
       "      <td>-0.139344</td>\n",
       "      <td>lNlT_flow</td>\n",
       "      <td>1.926913</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       speaker                    file_name  \\\n",
       "0   washington  washington_speeches_000.txt   \n",
       "1   washington  washington_speeches_004.txt   \n",
       "2   washington  washington_speeches_003.txt   \n",
       "3   washington  washington_speeches_001.txt   \n",
       "4   washington  washington_speeches_002.txt   \n",
       "5   washington  washington_speeches_007.txt   \n",
       "6   washington  washington_speeches_006.txt   \n",
       "7   washington  washington_speeches_005.txt   \n",
       "8   washington  washington_speeches_008.txt   \n",
       "9   washington  washington_speeches_009.txt   \n",
       "10  washington  washington_speeches_011.txt   \n",
       "11  washington  washington_speeches_010.txt   \n",
       "12  washington  washington_speeches_012.txt   \n",
       "13  washington  washington_speeches_013.txt   \n",
       "14  washington  washington_speeches_014.txt   \n",
       "15  washington  washington_speeches_015.txt   \n",
       "16  washington  washington_speeches_016.txt   \n",
       "17  washington  washington_speeches_018.txt   \n",
       "18  washington  washington_speeches_019.txt   \n",
       "19  washington  washington_speeches_017.txt   \n",
       "\n",
       "                                            file_path  \\\n",
       "0   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "1   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "2   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "3   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "4   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "5   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "6   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "7   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "8   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "9   /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "10  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "11  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "12  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "13  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "14  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "15  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "16  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "17  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "18  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "19  /home/azureuser/cloudfiles/code/data/raw/potus...   \n",
       "\n",
       "                                            raw_tuple  \\\n",
       "0   (First Inaugural Address, 1789-04-30, Fellow C...   \n",
       "1   (Thanksgiving Proclamation, 1789-10-03, Wherea...   \n",
       "2   (First Annual Message to Congress, 1790-01-08,...   \n",
       "3   (Second Annual Message to Congress, 1790-12-08...   \n",
       "4   (Talk to the Chiefs and Counselors of the Sene...   \n",
       "5   (Third Annual Message to Congress, 1791-10-25,...   \n",
       "6   (Veto Message on Congressional Redistricting, ...   \n",
       "7   (Fourth Annual Message to Congress, 1792-11-06...   \n",
       "8   (Proclamation Against Crimes Against the Chero...   \n",
       "9   (Second Inaugural Address, 1793-03-04, Fellow-...   \n",
       "10  (Proclamation of Neutrality, 1793-04-22, Where...   \n",
       "11  (Fifth Annual Message to Congress, 1793-12-03,...   \n",
       "12  (Proclamation against Opposition to Execution ...   \n",
       "13  (Proclamation of Militia Service, 1794-09-25, ...   \n",
       "14  (Sixth Annual Message to Congress, 1794-11-19,...   \n",
       "15  (Proclamation of Pardons in Western Pennsylvan...   \n",
       "16  (Seventh Annual Message to Congress, 1795-12-0...   \n",
       "17  (Message to the House of Representatives, Decl...   \n",
       "18  (Talk to the Cherokee Nation, 1796-08-29, Belo...   \n",
       "19  (Farewell Address, 1796-09-19, The period for ...   \n",
       "\n",
       "                                                title        date  \\\n",
       "0                             First Inaugural Address  1789-04-30   \n",
       "1                           Thanksgiving Proclamation  1789-10-03   \n",
       "2                    First Annual Message to Congress  1790-01-08   \n",
       "3                   Second Annual Message to Congress  1790-12-08   \n",
       "4   Talk to the Chiefs and Counselors of the Senec...  1790-12-29   \n",
       "5                    Third Annual Message to Congress  1791-10-25   \n",
       "6         Veto Message on Congressional Redistricting  1792-04-05   \n",
       "7                   Fourth Annual Message to Congress  1792-11-06   \n",
       "8   Proclamation Against Crimes Against the Cherok...  1792-12-12   \n",
       "9                            Second Inaugural Address  1793-03-04   \n",
       "10                         Proclamation of Neutrality  1793-04-22   \n",
       "11                   Fifth Annual Message to Congress  1793-12-03   \n",
       "12  Proclamation against Opposition to Execution o...  1794-08-07   \n",
       "13                    Proclamation of Militia Service  1794-09-25   \n",
       "14                   Sixth Annual Message to Congress  1794-11-19   \n",
       "15    Proclamation of Pardons in Western Pennsylvania  1795-07-10   \n",
       "16                 Seventh Annual Message to Congress  1795-12-08   \n",
       "17  Message to the House of Representatives, Decli...  1796-03-30   \n",
       "18                        Talk to the Cherokee Nation  1796-08-29   \n",
       "19                                   Farewell Address  1796-09-19   \n",
       "\n",
       "                                               speech  speech_len  \\\n",
       "0   Fellow Citizens of the Senate and the House of...        8687   \n",
       "1   Whereas it is the duty of all Nations to ackno...        2541   \n",
       "2   Fellow Citizens of the Senate and House of Rep...        5278   \n",
       "3   Fellow citizens of the Senate and House of Rep...        8383   \n",
       "4   I the President of the United States, by my ow...        7898   \n",
       "5   I meet you, upon the present occasion, with th...       13965   \n",
       "6   Gentlemen of the House of Representatives: I h...         991   \n",
       "7   Fellow-Citizens of the Senate, and of the Hous...       14254   \n",
       "8   Whereas I have received authentic information,...        1145   \n",
       "9   Fellow-Citizens:\\nI am again called upon by th...         791   \n",
       "10  Whereas it appears that a state of war exists ...        1424   \n",
       "11  \\nFellow Citizens of the Senate and of the Hou...       11624   \n",
       "12  Whereas combinations to defeat the execution o...        7744   \n",
       "13  Whereas, from a hope that the combinations aga...        4091   \n",
       "14  Fellow Citizens of the Senate and of the House...       17776   \n",
       "15  Whereas the commissioners appointed by the Pre...        2357   \n",
       "16  I trust I do not deceive myself when I indulge...       12159   \n",
       "17  Gentlemen of the House of Representatives:\\nWi...        6388   \n",
       "18  Beloved Cherokees,\\nMany years have passed sin...        8715   \n",
       "19  The period for a new election of a citizen to ...       36631   \n",
       "\n",
       "                                                probs  token_count   novelty  \\\n",
       "0   [0.04419251, 8.79e-06, 0.0080008, 9.042e-05, 3...         1256  0.000000   \n",
       "1   [0.07815806, 2.655e-05, 0.00052114, 0.0002731,...          960  0.919370   \n",
       "2   [0.02640794, 1.403e-05, 0.00027538, 0.00014431...          900  0.990080   \n",
       "3   [0.00028747, 8.45e-06, 0.00656374, 8.691e-05, ...          271  1.153165   \n",
       "4   [0.00035553, 1.044e-05, 0.00020499, 0.00010742...          607  1.707379   \n",
       "5   [0.01726666, 5.18e-06, 0.02395631, 5.333e-05, ...          836  1.080824   \n",
       "6   [0.00229693, 6.769e-05, 0.00132877, 0.00069634...          537  4.062692   \n",
       "7   [0.00420348, 4.94e-06, 0.0246952, 0.01343063, ...          126  1.594731   \n",
       "8   [0.00185744, 5.457e-05, 0.00107109, 0.04349534...          553  2.260842   \n",
       "9   [0.00296846, 8.729e-05, 0.00171334, 0.00089787...         1227  4.649143   \n",
       "10  [0.07525636, 5.455e-05, 0.00107066, 0.0493378,...          202  2.211345   \n",
       "11  [0.03259392, 6.07e-06, 0.00011917, 6.245e-05, ...         5587  1.046198   \n",
       "12  [0.00030113, 8.85e-06, 0.00017379, 0.02627328,...          502  2.109761   \n",
       "13  [0.00066124, 1.935e-05, 0.00037984, 0.00019905...          320  1.403535   \n",
       "14  [0.04142031, 4.02e-06, 7.892e-05, 0.01373889, ...          701  0.985181   \n",
       "15  [0.00096716, 2.847e-05, 0.00055876, 0.06435752...         4319  3.834342   \n",
       "16  [0.01529245, 5.56e-06, 0.00933022, 5.719e-05, ...         3858  1.061973   \n",
       "17  [0.00039745, 1.169e-05, 0.00022941, 0.00012022...         3545  2.161080   \n",
       "18  [0.00029128, 8.56e-06, 0.00016801, 8.804e-05, ...          121  2.889551   \n",
       "19  [0.0630194, 1.9e-06, 0.00216856, 1.95e-05, 0.0...          828  1.233488   \n",
       "\n",
       "    transience  resonance         quadrant  distance  \\\n",
       "0     1.460507  -1.460507        lNlT_flow  2.948755   \n",
       "1     2.285939  -1.366568        lNlT_flow  1.827856   \n",
       "2     0.968736   0.021344        lNlT_flow  2.376963   \n",
       "3     0.977333   0.175833        lNlT_flow  2.254829   \n",
       "4     2.116694  -0.409315        lNlT_flow  1.121689   \n",
       "5     0.951652   0.129171        lNlT_flow  2.323823   \n",
       "6     4.706109  -0.643416  hNhT_shortlived  2.498762   \n",
       "7     1.091092   0.503640        lNlT_flow  1.881313   \n",
       "8     2.302155  -0.041314        lNlT_flow  0.546763   \n",
       "9     4.711119  -0.061976  hNhT_shortlived  2.860661   \n",
       "10    2.423040  -0.211695        lNlT_flow  0.538363   \n",
       "11    0.901238   0.144960        lNlT_flow  2.384006   \n",
       "12    2.642200  -0.532439      lNhT_ending  0.612091   \n",
       "13    1.810006  -0.406471        lNlT_flow  1.534817   \n",
       "14    1.231702  -0.246521        lNlT_flow  2.208825   \n",
       "15    4.936726  -1.102383  hNhT_shortlived  2.590008   \n",
       "16    0.912884   0.149089        lNlT_flow  2.364638   \n",
       "17    2.191290  -0.030210        lNlT_flow  0.691799   \n",
       "18    3.103960  -0.214409  hNhT_shortlived  0.532993   \n",
       "19    1.372831  -0.139344        lNlT_flow  1.926913   \n",
       "\n",
       "    quadrant_threshold_of_interest  \n",
       "0                       100.000000  \n",
       "1                       100.000000  \n",
       "2                       100.000000  \n",
       "3                       100.000000  \n",
       "4                       100.000000  \n",
       "5                       100.000000  \n",
       "6                         2.220539  \n",
       "7                       100.000000  \n",
       "8                       100.000000  \n",
       "9                         2.220539  \n",
       "10                      100.000000  \n",
       "11                      100.000000  \n",
       "12                        0.691072  \n",
       "13                      100.000000  \n",
       "14                      100.000000  \n",
       "15                        2.220539  \n",
       "16                      100.000000  \n",
       "17                      100.000000  \n",
       "18                        2.220539  \n",
       "19                      100.000000  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from scipy.spatial.distance import cdist\n",
    "\n",
    "# identify quadrants\n",
    "n_50 = np.quantile(df['novelty'], 0.5)\n",
    "t_50 = np.quantile(df['transience'], 0.5)\n",
    "mid_point = [(n_50, t_50)]\n",
    "print(mid_point)\n",
    "\n",
    "df['quadrant'] = [whichQuadrant(row['novelty'], row['transience'], n_50, t_50) for idx,row in df.iterrows()]\n",
    "\n",
    "\n",
    "# calculate distance\n",
    "df['distance'] = np.array([cdist(mid_point, [(row['novelty'], row['transience'])], 'euclidean')[0][0] for idx,row in df.iterrows()])\n",
    "\n",
    "# identify those of interest\n",
    "quantile_of_interest = 0.75\n",
    "threshold_of_interest = {'hNlT_resonant': np.quantile(df['distance'][df['quadrant'] == 'hNlT_resonant'], quantile_of_interest),\n",
    "                         'hNhT_shortlived': np.quantile(df['distance'][df['quadrant'] == 'hNhT_shortlived'], quantile_of_interest),\n",
    "                         'lNlT_flow': 100,\n",
    "                         'lNhT_ending': np.quantile(df['distance'][df['quadrant'] == 'lNhT_ending'], quantile_of_interest)}\n",
    "print(threshold_of_interest)\n",
    "\n",
    "df['quadrant_threshold_of_interest'] = [threshold_of_interest[q] for q in df['quadrant']]\n",
    "\n",
    "\n",
    "df.head(20)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "xOJx_zA_iaGs"
   },
   "source": [
    "## Proposal 2: \n",
    "\n",
    "Measure each speech using two metrics: (a) the angle from SW (ie how far around from an 'inconsequential' vector heading to (0,0), and (b) the distance from median."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "id": "8UzBXaKOcBqU"
   },
   "outputs": [],
   "source": [
    "# Proposal 2\n",
    "# Measure each speech using two metrics: (a) distance from median and (b) angle from north (or should it be from SW???)\n",
    "\n",
    "def angle_of_speech(n, t, n_50, t_50):\n",
    "\n",
    "  import numpy as np\n",
    "  import math\n",
    "\n",
    "  vector_2 = [-1 * n_50, -1 * t_50]\n",
    "  vector_1 = [n - n_50, t - t_50]\n",
    "\n",
    "  dot = vector_1[0]*vector_2[0] + vector_1[1]*vector_2[1]\n",
    "  det = vector_1[0]*vector_2[1] - vector_1[1]*vector_2[0]\n",
    "  r = math.atan2(det, dot)\n",
    "  degrees = np.rad2deg(r)\n",
    "  if degrees < 0:\n",
    "    degrees = 360 + degrees\n",
    "\n",
    "  return (degrees)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 87
    },
    "id": "113aZplkddcc",
    "outputId": "036f6587-5a37-439e-9b00-0873d045b1d7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "243.43494882292202\n",
      "133.49256424122504\n",
      "237.0947570770121\n",
      "338.9624889745782\n"
     ]
    }
   ],
   "source": [
    "print(angle_of_speech(3, 0.2, 0.9, 0.9))\n",
    "print(angle_of_speech(0.85, 2.8, 0.9, 0.9))\n",
    "print(angle_of_speech(2.3, 0.6, 0.9, 0.9))\n",
    "print(angle_of_speech(0.5, 0, 0.9, 0.9))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-1389_mei2h1"
   },
   "source": [
    "# Charting speeches \n",
    "\n",
    "## Highlighting the top x% in each quadrant (proposal 1) but could be adapted to proposal 2 to look at the top x% of everything between a range - maybe 90-270.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 401
    },
    "id": "-OG8eJWiS4MV",
    "outputId": "c97069cf-d8b6-479b-a288-13f6c00d7f87"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x7f671970aba8>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#party_colours = {'LP': 'blue', 'ALP': 'red', 'AG': 'green', 'Nat': 'brown', 'grey': 'grey', 'IND': 'purple'}\n",
    "\n",
    "# Use the 'hue' argument to provide a factor variable\n",
    "sns.relplot(x=\"novelty\", y=\"transience\", data=df, alpha=0.5, #hue='chart_colour', palette = party_colours,\n",
    "            size=\"resonance\", sizes = (40,400),\n",
    "            legend=False)\n",
    "\n",
    "plt.axvline(x = n_50, color=\".7\", dashes=(2, 1), zorder=0)\n",
    "import matplotlib.pyplot as pyplot\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "p = pyplot.hist2d(x=df['novelty'], y=df['transience'], bins=(200, 200), cmap=plt.cm.jet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "for s in df.nsmallest(20, 'novelty')['text']:\n",
    "    print(s)\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# top twenties\n",
    "\n",
    "for idx,row in df.nlargest(20, 'resonance').iterrows():\n",
    "    print(row['date_time'], row['name'], row['party'], row['text'][:2000])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "df[df['quadrant']=='hNlT_resonant'].nlargest(20, 'distance')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "fname = '~/cloudfiles/code/data/processing/hansard/experiment/eval_num_topics_3/speeches_df_43par_eval_num_topics_3_klds_1500_1500.pkl'\n",
    "\n",
    "df = pd.read_pickle(fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x7fd29ff68208>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "party_colours = {'LP': 'blue', 'ALP': 'red', 'AG': 'green', 'Nat': 'brown', 'grey': 'grey', 'IND': 'purple'}\n",
    "\n",
    "# Use the 'hue' argument to provide a factor variable\n",
    "sns.relplot(x=\"novelty\", y=\"transience\", data=df, hue='context_type', alpha=0.5, #palette = party_colours,\n",
    "            size=\"resonance\", sizes = (40,400),\n",
    "            legend=False)\n",
    "\n",
    "plt.axvline(x = n_50, color=\".7\", dashes=(2, 1), zorder=0)\n",
    "plt.axhline(y = t_50, color=\".7\", dashes=(2, 1), zorder=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as pyplot\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "plt.figure(figsize=(5,5))\n",
    "plt.ylim(0,10)\n",
    "plt.xlim(0,10)\n",
    "\n",
    "p = pyplot.hist2d(x=df['novelty'], y=df['transience'], bins=(120, 120), cmap=plt.cm.jet)"
   ]
  },
  {
   "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>date_time</th>\n",
       "      <th>chamber</th>\n",
       "      <th>parliament</th>\n",
       "      <th>session</th>\n",
       "      <th>period</th>\n",
       "      <th>page</th>\n",
       "      <th>name</th>\n",
       "      <th>name_id</th>\n",
       "      <th>party</th>\n",
       "      <th>in_gov</th>\n",
       "      <th>...</th>\n",
       "      <th>context</th>\n",
       "      <th>context_title</th>\n",
       "      <th>context_type</th>\n",
       "      <th>speech_type</th>\n",
       "      <th>probs</th>\n",
       "      <th>token_count</th>\n",
       "      <th>novelty</th>\n",
       "      <th>transience</th>\n",
       "      <th>resonance</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>203252</th>\n",
       "      <td>2010-09-28 11:24:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Georganas, Steve, MP</td>\n",
       "      <td>DZY</td>\n",
       "      <td>ALP</td>\n",
       "      <td>True</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>speaker</td>\n",
       "      <td>miscellaneous</td>\n",
       "      <td>speech</td>\n",
       "      <td>[2.011e-05, 3.324e-05, 1.913e-05, 2.346e-05, 1...</td>\n",
       "      <td>14</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.871691</td>\n",
       "      <td>-6.871691</td>\n",
       "      <td>\\n\\nMr President, I ask a further supplementar...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230211</th>\n",
       "      <td>2012-05-31 12:47:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Albanese, Anthony, MP</td>\n",
       "      <td>R36</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>136</td>\n",
       "      <td>3.231460</td>\n",
       "      <td>3.588786</td>\n",
       "      <td>-0.357327</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230727</th>\n",
       "      <td>2012-06-19 13:27:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Collins, Sen Jacinta</td>\n",
       "      <td>GB6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>business</td>\n",
       "      <td>business</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>22</td>\n",
       "      <td>3.232435</td>\n",
       "      <td>3.716452</td>\n",
       "      <td>-0.484017</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230752</th>\n",
       "      <td>2012-06-19 14:23:00.000001</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>D'Ath, Yvette, MP</td>\n",
       "      <td>HVN</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions without notice</td>\n",
       "      <td>questions without notice</td>\n",
       "      <td>question</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>633</td>\n",
       "      <td>3.233951</td>\n",
       "      <td>3.739773</td>\n",
       "      <td>-0.505822</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231187</th>\n",
       "      <td>2012-06-20 17:52:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Albanese, Anthony, MP</td>\n",
       "      <td>R36</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>651</td>\n",
       "      <td>3.238594</td>\n",
       "      <td>3.694868</td>\n",
       "      <td>-0.456274</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213609</th>\n",
       "      <td>2011-06-15 19:33:00.000001</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Murphy, John, MP</td>\n",
       "      <td>83D</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>talk</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>140</td>\n",
       "      <td>3.248299</td>\n",
       "      <td>3.580664</td>\n",
       "      <td>-0.332365</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213127</th>\n",
       "      <td>2011-06-14 18:16:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Georganas, Steve, MP</td>\n",
       "      <td>DZY</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>147</td>\n",
       "      <td>3.248853</td>\n",
       "      <td>3.561522</td>\n",
       "      <td>-0.312668</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212945</th>\n",
       "      <td>2011-06-02 11:27:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Hayes, Chris, MP</td>\n",
       "      <td>ECV</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>293</td>\n",
       "      <td>3.251200</td>\n",
       "      <td>3.581445</td>\n",
       "      <td>-0.330245</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228049</th>\n",
       "      <td>2012-03-22 10:57:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Hayes, Chris, MP</td>\n",
       "      <td>ECV</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>17</td>\n",
       "      <td>3.253922</td>\n",
       "      <td>3.508801</td>\n",
       "      <td>-0.254879</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229956</th>\n",
       "      <td>2012-05-29 21:56:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Zappia, Tony, MP</td>\n",
       "      <td>HWB</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>53</td>\n",
       "      <td>3.260007</td>\n",
       "      <td>3.562160</td>\n",
       "      <td>-0.302152</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232017</th>\n",
       "      <td>2012-06-26 17:27:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Albanese, Anthony, MP</td>\n",
       "      <td>R36</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>178</td>\n",
       "      <td>3.263454</td>\n",
       "      <td>3.516890</td>\n",
       "      <td>-0.253436</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246578</th>\n",
       "      <td>2013-06-18 14:06:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Sterle, Sen Glenn</td>\n",
       "      <td>e68</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions without notice</td>\n",
       "      <td>questions without notice</td>\n",
       "      <td>question</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>7</td>\n",
       "      <td>3.265423</td>\n",
       "      <td>3.551432</td>\n",
       "      <td>-0.286009</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232294</th>\n",
       "      <td>2012-06-27 18:38:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Albanese, Anthony, MP</td>\n",
       "      <td>R36</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>90</td>\n",
       "      <td>3.266895</td>\n",
       "      <td>3.467624</td>\n",
       "      <td>-0.200729</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219749</th>\n",
       "      <td>2011-09-22 11:54:00.000001</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Cameron, Sen Doug</td>\n",
       "      <td>AI6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>talk</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>33</td>\n",
       "      <td>3.267320</td>\n",
       "      <td>3.527995</td>\n",
       "      <td>-0.260675</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212804</th>\n",
       "      <td>2011-05-31 22:29:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>McCormack, Michael, MP</td>\n",
       "      <td>219646</td>\n",
       "      <td>Nats</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>adjournment</td>\n",
       "      <td>adjournment</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>470</td>\n",
       "      <td>3.267526</td>\n",
       "      <td>3.578518</td>\n",
       "      <td>-0.310992</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227333</th>\n",
       "      <td>2012-03-19 12:07:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Shorten, Bill, MP</td>\n",
       "      <td>00ATG</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>313</td>\n",
       "      <td>3.268301</td>\n",
       "      <td>3.439946</td>\n",
       "      <td>-0.171645</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246558</th>\n",
       "      <td>2013-06-18 13:05:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Collins, Sen Jacinta</td>\n",
       "      <td>GB6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>business</td>\n",
       "      <td>business</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>47</td>\n",
       "      <td>3.268977</td>\n",
       "      <td>3.543090</td>\n",
       "      <td>-0.274112</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247872</th>\n",
       "      <td>2013-06-27 11:48:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Abetz, Sen Eric</td>\n",
       "      <td>N26</td>\n",
       "      <td>LP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>4</td>\n",
       "      <td>3.270800</td>\n",
       "      <td>3.380474</td>\n",
       "      <td>-0.109674</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220266</th>\n",
       "      <td>2011-10-11 22:58:00.000000</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Combet, Greg, MP</td>\n",
       "      <td>YW6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>16</td>\n",
       "      <td>3.271855</td>\n",
       "      <td>3.545485</td>\n",
       "      <td>-0.273629</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223494</th>\n",
       "      <td>2011-11-23 19:30:00.000009</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Bishop, Sen Mark</td>\n",
       "      <td>2L6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>talk</td>\n",
       "      <td>[0.00160998, 0.00266042, 0.00153093, 0.0018776...</td>\n",
       "      <td>262</td>\n",
       "      <td>3.272889</td>\n",
       "      <td>3.366336</td>\n",
       "      <td>-0.093447</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        date_time chamber parliament session period  page  \\\n",
       "203252 2010-09-28 11:24:00.000000    Reps         43       1      1     0   \n",
       "230211 2012-05-31 12:47:00.000000    Reps         43       1      6     0   \n",
       "230727 2012-06-19 13:27:00.000000  Senate         43       1      6     0   \n",
       "230752 2012-06-19 14:23:00.000001    Reps         43       1      6     0   \n",
       "231187 2012-06-20 17:52:00.000000    Reps         43       1      6     0   \n",
       "213609 2011-06-15 19:33:00.000001    Reps         43       1      3     0   \n",
       "213127 2011-06-14 18:16:00.000000    Reps         43       1      3     0   \n",
       "212945 2011-06-02 11:27:00.000000    Reps         43       1      3     0   \n",
       "228049 2012-03-22 10:57:00.000000    Reps         43       1      5     0   \n",
       "229956 2012-05-29 21:56:00.000000    Reps         43       1      6     0   \n",
       "232017 2012-06-26 17:27:00.000000    Reps         43       1      6     0   \n",
       "246578 2013-06-18 14:06:00.000000  Senate         43       1      9     0   \n",
       "232294 2012-06-27 18:38:00.000000    Reps         43       1      6     0   \n",
       "219749 2011-09-22 11:54:00.000001  Senate         43       1      4     0   \n",
       "212804 2011-05-31 22:29:00.000000    Reps         43       1      3     0   \n",
       "227333 2012-03-19 12:07:00.000000    Reps         43       1      5     0   \n",
       "246558 2013-06-18 13:05:00.000000  Senate         43       1      9     0   \n",
       "247872 2013-06-27 11:48:00.000000  Senate         43       1      9     0   \n",
       "220266 2011-10-11 22:58:00.000000    Reps         43       1      4     0   \n",
       "223494 2011-11-23 19:30:00.000009  Senate         43       1      4     0   \n",
       "\n",
       "                          name name_id party  in_gov  ... context  \\\n",
       "203252    Georganas, Steve, MP     DZY   ALP    True  ...  debate   \n",
       "230211   Albanese, Anthony, MP     R36   ALP   False  ...  debate   \n",
       "230727    Collins, Sen Jacinta     GB6   ALP   False  ...  debate   \n",
       "230752       D'Ath, Yvette, MP     HVN   ALP   False  ...  debate   \n",
       "231187   Albanese, Anthony, MP     R36   ALP   False  ...  debate   \n",
       "213609        Murphy, John, MP     83D   ALP   False  ...  debate   \n",
       "213127    Georganas, Steve, MP     DZY   ALP   False  ...  debate   \n",
       "212945        Hayes, Chris, MP     ECV   ALP   False  ...  debate   \n",
       "228049        Hayes, Chris, MP     ECV   ALP   False  ...  debate   \n",
       "229956        Zappia, Tony, MP     HWB   ALP   False  ...  debate   \n",
       "232017   Albanese, Anthony, MP     R36   ALP   False  ...  debate   \n",
       "246578       Sterle, Sen Glenn     e68   ALP   False  ...  debate   \n",
       "232294   Albanese, Anthony, MP     R36   ALP   False  ...  debate   \n",
       "219749       Cameron, Sen Doug     AI6   ALP   False  ...  debate   \n",
       "212804  McCormack, Michael, MP  219646  Nats   False  ...  debate   \n",
       "227333       Shorten, Bill, MP   00ATG   ALP   False  ...  debate   \n",
       "246558    Collins, Sen Jacinta     GB6   ALP   False  ...  debate   \n",
       "247872         Abetz, Sen Eric     N26    LP   False  ...  debate   \n",
       "220266        Combet, Greg, MP     YW6   ALP   False  ...  debate   \n",
       "223494        Bishop, Sen Mark     2L6   ALP   False  ...  debate   \n",
       "\n",
       "                   context_title              context_type speech_type  \\\n",
       "203252                   speaker             miscellaneous      speech   \n",
       "230211                     bills                     bills      speech   \n",
       "230727                  business                  business      speech   \n",
       "230752  questions without notice  questions without notice    question   \n",
       "231187                     bills                     bills      speech   \n",
       "213609                     bills                     bills        talk   \n",
       "213127                     bills                     bills      speech   \n",
       "212945                committees                committees      speech   \n",
       "228049                committees                committees      speech   \n",
       "229956                     bills                     bills      speech   \n",
       "232017                     bills                     bills      speech   \n",
       "246578  questions without notice  questions without notice    question   \n",
       "232294                     bills                     bills      speech   \n",
       "219749                     bills                     bills        talk   \n",
       "212804               adjournment               adjournment      speech   \n",
       "227333                     bills                     bills      speech   \n",
       "246558                  business                  business      speech   \n",
       "247872                     bills                     bills      speech   \n",
       "220266                     bills                     bills      speech   \n",
       "223494                     bills                     bills        talk   \n",
       "\n",
       "                                                    probs token_count  \\\n",
       "203252  [2.011e-05, 3.324e-05, 1.913e-05, 2.346e-05, 1...          14   \n",
       "230211  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         136   \n",
       "230727  [0.00160998, 0.00266042, 0.00153093, 0.0018776...          22   \n",
       "230752  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         633   \n",
       "231187  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         651   \n",
       "213609  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         140   \n",
       "213127  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         147   \n",
       "212945  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         293   \n",
       "228049  [0.00160998, 0.00266042, 0.00153093, 0.0018776...          17   \n",
       "229956  [0.00160998, 0.00266042, 0.00153093, 0.0018776...          53   \n",
       "232017  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         178   \n",
       "246578  [0.00160998, 0.00266042, 0.00153093, 0.0018776...           7   \n",
       "232294  [0.00160998, 0.00266042, 0.00153093, 0.0018776...          90   \n",
       "219749  [0.00160998, 0.00266042, 0.00153093, 0.0018776...          33   \n",
       "212804  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         470   \n",
       "227333  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         313   \n",
       "246558  [0.00160998, 0.00266042, 0.00153093, 0.0018776...          47   \n",
       "247872  [0.00160998, 0.00266042, 0.00153093, 0.0018776...           4   \n",
       "220266  [0.00160998, 0.00266042, 0.00153093, 0.0018776...          16   \n",
       "223494  [0.00160998, 0.00266042, 0.00153093, 0.0018776...         262   \n",
       "\n",
       "         novelty  transience  resonance  \\\n",
       "203252  0.000000    6.871691  -6.871691   \n",
       "230211  3.231460    3.588786  -0.357327   \n",
       "230727  3.232435    3.716452  -0.484017   \n",
       "230752  3.233951    3.739773  -0.505822   \n",
       "231187  3.238594    3.694868  -0.456274   \n",
       "213609  3.248299    3.580664  -0.332365   \n",
       "213127  3.248853    3.561522  -0.312668   \n",
       "212945  3.251200    3.581445  -0.330245   \n",
       "228049  3.253922    3.508801  -0.254879   \n",
       "229956  3.260007    3.562160  -0.302152   \n",
       "232017  3.263454    3.516890  -0.253436   \n",
       "246578  3.265423    3.551432  -0.286009   \n",
       "232294  3.266895    3.467624  -0.200729   \n",
       "219749  3.267320    3.527995  -0.260675   \n",
       "212804  3.267526    3.578518  -0.310992   \n",
       "227333  3.268301    3.439946  -0.171645   \n",
       "246558  3.268977    3.543090  -0.274112   \n",
       "247872  3.270800    3.380474  -0.109674   \n",
       "220266  3.271855    3.545485  -0.273629   \n",
       "223494  3.272889    3.366336  -0.093447   \n",
       "\n",
       "                                                     text  \n",
       "203252  \\n\\nMr President, I ask a further supplementar...  \n",
       "230211  \\n          \\n            \\n          \\n      ...  \n",
       "230727  \\n            \\n              \\n            \\n...  \n",
       "230752  \\n            \\n              \\n            \\n...  \n",
       "231187  \\n            \\n              \\n            \\n...  \n",
       "213609  \\n            \\n              \\n            \\n...  \n",
       "213127  \\n          \\n            \\n          \\n      ...  \n",
       "212945  \\n          \\n            \\n          \\n      ...  \n",
       "228049  \\n          \\n            \\n          \\n      ...  \n",
       "229956  \\n          \\n            \\n          \\n      ...  \n",
       "232017  \\n          \\n            \\n          \\n      ...  \n",
       "246578  \\n          \\n            \\n          \\n      ...  \n",
       "232294  \\n          \\n            \\n          \\n      ...  \n",
       "219749  \\n          \\n            \\n          \\n      ...  \n",
       "212804  \\n          \\n            \\n          \\n      ...  \n",
       "227333  \\n          \\n            \\n          \\n      ...  \n",
       "246558  \\n          \\n            \\n          \\n      ...  \n",
       "247872  \\n            \\n              \\n            \\n...  \n",
       "220266  \\n          \\n            \\n          \\n      ...  \n",
       "223494  \\n          \\n            \\n          \\n      ...  \n",
       "\n",
       "[20 rows x 22 columns]"
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     "text": [
      "2013-06-28 15:28:00 Singh, Sen Lisa ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  What we have here are some elements from those much more comprehensive reports and much more detailed and considered recommendations. What we have here is a diminished and partial set of proposalssome of them derived from the Convergence Review, some of them grabbed from remnants of the Finkelstein report and some of them plucked from somewhere else and bundled into this overarching but nonetheless diminished package. We have been working around the clock since the announcement was made that these bills would be tabled to understand how they would operate in the real world, quite practically, and how they can be improved. It has put enormous pressure on staffnot just ours but the coalition's and the crossbenchers' both here and in the other placecommittee secretaries and, most important to acknowledge, witnesses and people who gave evidence to these inquiries on the basis of a phone call and, in some instances, less than a day's notice.\n",
      "                \n",
      "                \n",
      "                  The Greens are on the record as supporting a much broader approach, and we should indeed go back to the rationale for the Convergence Review, which was to investigate proposals for a converged regulator. The whole reasonor one of the greater reasonsthat we are having this debate at all is that the media landscape is changing before our eyes in this so-called phenomenon of convergence whereby people are consuming news, current affairs, entertainment and content on a variety of platforms and some of the old ways are breaking down. In that context it makes very little sense to have one regulator looking after what is left of the print sector, one regulator looking after the broadcast sector and nobody really looking after what happens online. That appears to have been left by the side of the road \n",
      "2011-08-16 19:55:00.000040 Hogg, Sen John ALP \n",
      "\n",
      "I will ask if the minister can tell me today the answer to this question: is the minister aware of whether the government has estimated the number of applicants for the disaster recovery payment and, if so, what is the figure? Has the figure been revised since the flood tax was announced and, if so, by how much?\n",
      "\n",
      "\n",
      "2011-10-12 17:42:00.000018 Roxon, Nicola, MP ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator WONG\n",
      "                    (\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator WONG:\n",
      "                    It is interesting that the senator is so concerned about small business when her party is opposing a tax cut for small business. Let us be clear. Every time the Liberal Party come in here and argue about small business and pretend that they care about small business, they should be upfront with the Australian people that they must be the first coalition in decades who are actually arguing for higher taxation rates for Australian small business. So if she is worried about red tape and compliance I suggest that the senator might look at the economic lunacy of their position, which is about imposing higher taxes on this sector. But in relation to the initiative, I understand it is a payment reporting system designed to improve the tax compliance of businesses in this sector.  (Time expired) \n",
      "              \n",
      "            \n",
      "          \n",
      "          \n",
      "            \n",
      "              \n",
      "                5566\n",
      "                \n",
      "                Wong, Sen Penny\n",
      "                00AOU\n",
      "                \n",
      "                ALP\n",
      "                \n",
      "                \n",
      "              \n",
      "            \n",
      "            \n",
      "            \n",
      "          \n",
      "        \n",
      "2013-06-19 17:14:00 Lundy, Sen Kate ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Johnston\n",
      "                   asked the Minister representing the Minister for Defence Materiel, upon notice, on 26 November 2012:\n",
      "              \n",
      "              \n",
      "                With reference to the major project Bridging Air Combat Capability AIR 5349 Phase 2, can the following details be provided:\n",
      "              \n",
      "              \n",
      "                 (a)  the date of the first date for first pass approval;\n",
      "              \n",
      "              \n",
      "                 (b)  the date of the first estimated date, time period, for second pass approval;\n",
      "              \n",
      "              \n",
      "                 (c)  the date of first pass approval;\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (d)  the date of second pass approval;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (e)  the estimated acquisition cost when first proposed to Government;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (f)  the current estimated acquisition cost;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (g)  the date of estimated initial operational capa\n",
      "                  bility when first proposed to \n",
      "                  Government;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (h)  the current date of estimated initial operational capability; and\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (i)  the reason (s)  for the delay in this project, if applicable.\n",
      "                \n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2012-11-29 17:42:00 Wong, Sen Penny ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                      Senator WONG:\n",
      "                      I thought I should get that on the Hansard. But I mightthrough you, Mr Chairmansuggest that, if we could put a number of questions on notice, I am sure the minister, who is arriving now, will be able to respond.\n",
      "                \n",
      "                \n",
      "                  \n",
      "                    The CHAIRMAN:  I will call Senator Nash while Senator Ludwig is moving to his seat.\n",
      "                \n",
      "              \n",
      "            \n",
      "            \n",
      "              \n",
      "                \n",
      "                  10266\n",
      "                  \n",
      "                  Wong, Sen Penny\n",
      "                  00AOU\n",
      "                  \n",
      "                  ALP\n",
      "                  \n",
      "                  \n",
      "                \n",
      "              \n",
      "              \n",
      "              \n",
      "            \n",
      "            \n",
      "2012-10-09 17:06:00 Farrell, Sen Don ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                In Tasmania we are especially pleased to have been chosen to provide services to young Tasmanians between the ages of 15 and 24 living with a disability. This support is uncapped and is expected to provide services for 1,000 young Tasmanians. This number includes those who already have access to disability services and will also extend to new clients. A launch focussing on this age group will enable support to be provided to individuals at critical transition points to enhance their independence and promote their participation in the community and in employment. Young Tasmanians living with a disability will be able to be assessed to receive individualised care and support packages and will have the power to make decisions about their care and support. This will include choosing their own service provider and getting assistance from local coordinators to help manage and deliver their support. This system will be easy to navigate and will link people with disabilities to mainstream services.\n",
      "              \n",
      "              \n",
      "                The NDIS recognises the many struggles and challenges that Australians living with a disability face to obtain what the rest of the community considers an ordinary life. For the first time, Australians with significant and permanent disability will receive care and support over their lifetime regardless of how they acquired their disability. The federal government is investing nearly $38 million to make the NDIS a reality in Tasmania. The Tasmanian government has committed to contributing up to an additional $2 million a year. This is an outstanding example of cooperation and collaboration at a state and federal level, demonstrating our national commitment to better outcomes for all Australians living with a disability.\n",
      "              \n",
      "              \n",
      "                Th\n",
      "2012-02-08 19:04:00.000044 Emerson, Craig, MP ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                In 2005, a memorial was unveiled at Pitman Park in the City of Salisbury in memory of the people who suffered or died from asbestos related illnesses. It was established by the Asbestos Victims Association of South Australia. Each year in November, a memorial service is held at the site and as part of the service a white wooden cross is placed in the ground adjacent to the memorial with the name of each of the people who have died because of asbestos since the Asbestos Victims Association began keeping records. Each year I attend the service; each year there are more white crosses in the ground.\n",
      "              \n",
      "              \n",
      "                In most cases, those who died did so from work related illness or family members who were indirectly exposed to the deadly asbestos fibres from the work clothes being brought home. Sadly, thousands more will die in the coming years even though, since 31 December 2003, it has been illegal in Australia to use, reuse or sell any products containing any form of asbestos. For many, it was too late. The fibres were in their bodies and they now face a slow and painful death from an insidious disease. What makes the issue more controversial is that asbestos continued to be used for well over 100 years after its dangers were first exposed. The owners of asbestos mines and those who manufactured asbestos products were not merely negligentthey knowingly promoted a dangerous product.\n",
      "              \n",
      "              \n",
      "                Thanks to the efforts of so many people around the world, the use of asbestos has now been banned in many countries. However, the asbestos fight is only the tip of the iceberg. Firstly, asbestos continues to be used in disadvantaged countries where people are poorly educated. Secondly, the asbestos story applies to many other commonly used products w\n",
      "2011-06-14 12:37:00.000001 Farrell, Sen Don ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD\n",
      "                    (News Breakfast saying that, if question time had proceeded yesterday, he had lots of questions on jobs. I thought stand-up comedy finished with the Leader of the Opposition!\n",
      "              \n",
      "              \n",
      "                \n",
      "                  Opposition members interjecting\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    Exactly! Come in, spinner! I thank the shadow Treasurer for confirming in this parliament that they do not care about\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    The SPEAKER:\n",
      "                    There is a requirement under the standing orders for the Prime Minister to be directly relevant to the question, and I will listen to the answer. There is also a requirement under the standing orders for members not to interrupt. I would suggest that they do thatthat the interjections ceaseand that the Prime Minister ignore the interjections. The Prime Minister will respond to the question.\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    I thank the shadow Treasurer for laying bare the political aspirations of the Liberal Party: all about themselves; they never cared anything about the jobs of the Australian people. And to the shadow minister who asked the question\n",
      "              \n",
      "              \n",
      "                \n",
      "                  Mr Pyne interjecting\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    Maybe, instead of screaming, he might like to listen to the answer.\n",
      "              \n",
      "              \n",
      "                \n",
      "                  Mr Pyne interjecting\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    No\n",
      "2012-03-13 16:53:00 Ludwig, Sen Joe ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                The idea is to bring together the researchers and clinicians, but the centre will very much have a patient focus. It also has had a connection with Lance Armstrong, who visited during the early dedication ceremonies for the centre, and who has agreed for the LIVESTRONG name to be given to one of the research wings. It was a good day for the electorate.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2012-11-20 23:54:00.000011 Ludwig, Sen Joe ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Wong:\n",
      "                    The Treasurer has provided the following answer to the honourable senator's question:\n",
      "              \n",
      "              \n",
      "                 (1)  All of the listed items were examined in the Housing Supply and Affordability Reform  (HSAR)  Working Party's Final Housing Supply and Affordability Reform Report  (the report) . The Council of Australian Governments  (COAG)  publicly released the report on 30 August 2012.\n",
      "              \n",
      "              \n",
      "                 (2)  All of the listed items were examined in the report. COAG publicly released the report on 30 August 2012.\n",
      "              \n",
      "              \n",
      "                 (3)  COAG has agreed to the report's recommendations.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2012-11-01 15:36:00 Wong, Sen Penny ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Johnston\n",
      "                   asked the Minister representing the Minister for Defence, upon notice, on 20 August 2012:\n",
      "              \n",
      "              \n",
      "                For the period 1 July 2011 to 30 June 2012:  (a)  What 'First Pass' Project approvals; and  (b)  What 'Second Pass' approvals have been made? \n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2012-06-18 18:30:00 Wong, Sen Penny ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  As we all know, the not-for-profit sector is an invaluable part of the Australian community. We rely on not-for-profit organisations to deliver many, many programs and services. I see it every day in the community of Canberra. The sector is the backbone of so much community activity, especially in areas such as health, social inclusion and welfare. In every community, the work of not-for-profit groups is part of the fabric of our society.\n",
      "                \n",
      "                \n",
      "                  As I mentioned, in my electorate of Canberra I meet every day with not-for-profit organisations through a variety of means and I meet with many, many volunteers who work in the sector. Canberra has one of the highest volunteering rates in Australia. We are very proud of that. People are constantly amazed at the quality of the volunteers we have here, their levels of education and the skill sets that they bring to their volunteering roles. I am always amazed at the commitment and passion that the volunteers bring to whatever organisation they are involved in. Many are involved in many organisations in addition to looking after the grandkids and also taking some time out to do U3A.\n",
      "                \n",
      "                \n",
      "                  So we are blessed in the quality and the skill sets of the volunteers we have in Canberra, which is why I want to draw Canberrans' attention to the National Volunteer Awards that are now open. These awards recognise the contribution of over six million Australians who volunteer in communities across the country. The awards now include a senior volunteer category to acknowledge the invaluable contribution that older Australians make to our community. I particularly note that there are a number of older Canberrans who are out volunteering in the community and doing al\n",
      "2012-08-16 15:34:00 Wong, Sen Penny ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Bob Brown\n",
      "                    asked the Minister representing the Minister for Immigration and Citizenship, upon notice, on 2 February 2012:\n",
      "              \n",
      "              \n",
      "                With reference to the answer provided to question on notice no. 1211  (Senate Hansard, 2 November 2011, p. 8072) , what was the 'new or improved technology or business skills' introduced to Australia by Ta Ann Tasmania Pty Ltd.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2011-10-13 16:09:00 Sherry, Sen Nick ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        I move:\n",
      "                \n",
      "                \n",
      "                  That the Legal and Constitutional Affairs Legislation Committee be authorised to hold a public meeting during the sitting of the Senate on Tuesday, 13 September 2011, from 5.30 pm, to take evidence for the committee's inquiry into the provisions of the Trade Marks Amendment  (Tobacco Plain Packaging)  Bill 2011.\n",
      "                \n",
      "                \n",
      "                  Question agreed to.\n",
      "                \n",
      "              \n",
      "            \n",
      "          \n",
      "2011-06-23 15:28:00 Wong, Sen Penny ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  That this bill be now read a second time.\n",
      "                \n",
      "                \n",
      "                  I am introducing this bill because the parliament should pass laws which are optimistic, positive and constructive about Australia's future.\n",
      "                \n",
      "                \n",
      "                  It proposes to increase the superannuation guarantee charge from nine percent to 12 percent.\n",
      "                \n",
      "                \n",
      "                  And this bill abolishes the superannuation guarantee age limit.\n",
      "                \n",
      "                \n",
      "                  This bill passes the test of being optimistic, positive and constructive.\n",
      "                \n",
      "                \n",
      "                  We are living longer than ever before. Australians are reorganising their lives to adapt to longer life. So we should change our laws to move with the new rhythms of life.\n",
      "                \n",
      "                \n",
      "                  Those of us over 65 now are only three million in number, but by 2050 there will be 8.1 million.\n",
      "                \n",
      "                \n",
      "                  Today there are 50 of us in work for every 10 of us in retirement. By 2050, there will be 27 of us in work for every 10 of us in retirement.\n",
      "                \n",
      "                \n",
      "                  These days we are probably at school, or in an apprenticeship, or in university or in learning until we are 20 or 25.\n",
      "                \n",
      "                \n",
      "                  We then work for 35 years, and after that we have another 20 or even 30 years to think about things, play bowls, go fishing, join reading groups, write family histories and the rest of it. Thirty years, perhaps. Forty, maybe.\n",
      "                \n",
      "                \n",
      "                  Life itself, our life in the best country on earth, has been redefined by these new unchangeable figures of a long and l\n",
      "2011-08-18 18:19:00.000028 Ludwig, Sen Joe ALP \n",
      "\n",
      "My question is to the Minister representing the Minister for Families, Housing, Community Services and Indigenous Affairs, Senator Arbib. I ask today about alcohol related harm and abuse in Alice Springs. Firstly, is it true that there has in fact been a decrease in the incidence of violent crime in Alice Springs since the introduction of alcohol supply reduction measures in 2006? Secondly, what changes have there been in alcohol related hospital admissions since the introduction of those initial alcohol supply reduction measures?\n",
      "\n",
      "\n",
      "2013-06-20 15:51:00 Lundy, Sen Kate ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  It might surprise many people listening today that this type of activity even happens here in Australia because we are the lucky country. We do have the rule of law. We do ensure that we look after those who are vulnerable in our community and do what we can to ensure people are not exploited. Many people are shocked at the idea that sexual slavery, the slavery of individuals, even happens here on Australian soil. But the sad fact is it does. The inquiry into this legislation brought out that it is often occurring to those who are so vulnerable that it is kept silent.\n",
      "                \n",
      "                \n",
      "                  One of the key problems in this issue is that we just do not know how many people are actually affected. There are NGOs and community based organisations that try and keep their finger on how many people access their services. Project Respect, for example, based out of Melbourne, helped over 900 victims of sexual slavery in the 2011-12 year alone. But there is no hard data as to how many people, and women in particular, are trafficked into Australia for the purpose of sexual slavery.\n",
      "                \n",
      "                \n",
      "                  One of the recommendations made during the inquiry into this legislation was that we actually fund proper research into the demand for trafficked persons so we can keep a closer eye on just how many individuals and human lives are being destroyed and exploited through these means. To do that we would need adequate funding and partnerships resourced between academic institutions and other groups as well as, of course, government agencies managed by both state and federal government for policing and border patrol so that we can keep check on how many women are being affected by this awful hideous crime, which, I would argue, is a crim\n",
      "2012-06-19 22:26:00.000012 Ludwig, Sen Joe ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                The debate before the House today is a very serious debate because precedents will be forged as a result of it. It has to be taken seriously. This is not student politics, which is where I first observed the Leader of the Opposition, the member for Warringah, at Sydney University. This is the real show, the alternative government, the alternative Prime Minister. Student politics stunts are not enough to remove a Speaker, to cripple a House because people are upset that they are not on this side of the House. Let us have a look at the issues. Let us have a look at the principles. I was trained as a lawyer, a criminal defence lawyer, so cases I did involved people going to jail if they were found guilty. That was the penalty. The Leader of the Opposition knows about being in court, about having false accusations made against you and what that can do, and allowing the process to go the full length.\n",
      "              \n",
      "              \n",
      "                In relation to the Speaker, there are no criminal charges that we know of. There is an investigation into Cabcharge documentsallegations that were withdrawn by the civil complainant, Mr Ashby, and were not pursued. So that is not before us. There is not a scintilla of evidence of abuse of Cabcharge documentsa criminal charge, not a civil charge, which is the more serious. I say to members of the opposition: where is the evidence of criminal involvement of the Speaker? There is none. Indeed, the presiding judge in the Federal Court made a number of statements last week which brought into question the filing of that affidavit in court in those terms and its subsequent withdrawal. What we are dealing with is a civil charge where the Speaker is contesting it as an abuse of process and the judge has reserved. The opposition want us to come in and adjudicate. I say to \n",
      "2012-10-29 22:17:00.000028 Wong, Sen Penny ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  That this bill may proceed without formalities and be now read a first time.\n",
      "                \n",
      "                \n",
      "                  Question agreed to. \n",
      "                \n",
      "                \n",
      "                  Bill read a first time.\n",
      "                \n",
      "              \n",
      "            \n",
      "          \n",
      "2013-06-27 15:44:00 Collins, Sen Jacinta ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  Indeed, the coalition called for the establishment of a joint parliamentary committee to be chaired by both sides of politics to oversee the establishment and implementation of the NDIS. What did we get in response to that? The Prime Minister, in her inimitable style, just simply rejected that and said, 'We're getting on with it.' This is a very important issue for thousands of Australians with a disability and their families and carers, and that just goes to show the disdain that the Prime Minister has for something that should have been done on a bipartisan basis. The member for Dawson, George Christensen, has had a motion in the House of Representatives to establish such a bipartisan committee for some time. Regrettably, that motion has not been brought forward for a vote. The shadow minister, my colleague, Senator Fifield, moved a motion to establish the oversight committee. Unfortunately, those opposite and their alliance partners, the Greens, voted this down in the Senate. \n",
      "                \n",
      "                \n",
      "                  The Australian Labor Party always likes to pay lip service to wanting cross-party support for the National Disability Insurance Scheme, but when the opportunity was presented they declined to support it. Another example of paying lip service, is the Australian Labor Party's move, hopefully, not to guillotine debate in this matter. It is a very important bill that in this situation needs to be given full airing and full opportunity for all members and all senators to express their views on this important area. It deserves the full scrutiny of the Senate. \n",
      "                \n",
      "                \n",
      "                  In relation to the NDIS, one of the areas that needs to be examined is clause 22, which sets out the age requirements that a person must satisfy in \n"
     ]
    }
   ],
   "source": [
    "# top twenties\n",
    "\n",
    "for idx,row in df.nlargest(20, 'resonance').iterrows():\n",
    "    print(row['date_time'], row['name'], row['party'], row['text'][:2000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "fname = '~/cloudfiles/code/data/processing/hansard/experiment/eval_num_topics_1/speeches_df_43par_eval_num_topics_1_klds_1500_1500.pkl'\n",
    "\n",
    "df = pd.read_pickle(fname)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x7f67145e6c88>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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pvCTGth2iUR+Jht/tY+xcZqpUI+rtEA/2SYMOulNBxmMQk5I9daPH96SF7CFd/SeUFh5D8x2E5dK7/s/Ew30Mp4I7fZrEnKG7f40Ft4aSKTKLGe2+ThIO6YQJrVDghxpZIkm7HTxvjkGviW07aImP7SYUvAaRnARtzamwWJ+hfeUfCYZN6jOraJisOgmWDFGHffzDt+geeRzj2NcpF0qf9a/6vpcH7lwOaAY+P9vbpB2GVCybedvERJGojFcOD2iFAaeLZUajya4vmm6Rhr1JEyaVoZePoaNwDQ2hF0jRKXslbBXgt65QkOmkB0kakwaSOIuxvAqVqVPEmLR7h2iahq4JhFdHJGOyJGRn6wLGg7/D3Inv0LnwV5MWr4U60rAQmkEWj5HxCNRk9q27VdJxC3SDqL9F4fRvw2iPLBqSRUOi/jYJBWbP/j5OqU7c30GpjPHBRcaZohtphKlEGDaGbjEMfaYXHmHQvEaQSRRQiwcUSw2iGNBMFqcWaF36EeG4Q9H1KNoOSX+XwO/jZwnCMQkzSdDdwpY+zvGnsQqfbNHRl10euHNfenGW8XJzjyiTPFaw0MZ7BHvXSNME17CoNk4Q+4qO6WDoNoZTIequT/qRKIVZmkN50xiaJEwyhICjszXqtsTXLcwsJIvHREmCQmBoGWQx4fAQgiEzy4+jm0fwbJtZ1UfTMzTTINVqjJRFapaIU5/h1i9QSlJaeBQZ+8SDPVQagaYhbiw5V1mM1AxkMqZ27o8Y7ryMVV4kHuySRUOEbqEjGFz5Mdap35rsZKMyuvsXGGcaBa9K0Z2ilRqkErIsZZRIGkd/g9b6LwhTycAf0aiktDEolKcJW5cIxx0802SmNstw3EPIBNtykIninbROHI/ZOv8jvOI0pdnTmIVJx8A0HJKMm8SDHWQWo2kmVnkRszR9s2ti7lZ54M59KSilGMQZiZToQlC2DPQbNcbtMGCUxJzRI7pXn8H3u0iliDKJn0qSnetUyzOUHvgt5msz7A0HKAQohdE4TVur0m116EibMIlACL5/tM7u2msszxzj4NpPiLMUx9CJpUITGghIMomKxyS9LZbOfJ9ubxN/7zxxlgECzytTrx+hYkCcWdhzD6OCFkrT0QuNSXc+TUfTjJulgJOFMwopM8z6MZwsJvKb2NVlguZldKtA0t0gjX3i/mms2grRYIcwzUiylGRwiBWOmK4fxbdn8dwSuqZRWngM2ymxe+15/GDENAoU1IoV2lvPUvdcpmqzhNEIRgfYgGbYuLUGSSZJ/SFplhDHPoPDSwiVUlx4hHiww/jgwqT3+HsWOo0PL2K4NbyZ03jTp/Ol8++TB+7cF17Tj7nWD9gahsSZQtcE8wWLk1WP+YJFM/RZMRWty//CcNwBBYlUjBKJvNGzutPbY/3tH/HEV/8tL0djrPpxdJXQM6bo9TrEmcRzZwkTKJkGpz3F+vlNvMijcvJpDs7/mDBLsXUNQ9ORUqBpOrpuYDllrMYx4tbPkFmIpduIG7NmzbDprL/GwpFjhE4J3asR9TaR0RB34RwqGpH0dwGBMDV0u4ReqCMsj875v8A0PcxCHb2ySNzfIe7vkMYhVmGGaLCLM30KKQyiTE7qwWWKVT3CVGOZJAno7r9CkkYcaCZTR7/KA1//d/Sa19FkzFTBpWIKvHodXQiSYIgK+giZEoaTFZf4TTS7TLm8wNAfkSQhQWeDYnmG4PASfusK8sau8rea9HYZbL6ITAKKi4994p1/vkjywJ37QtsdRTyz22MYv6f/RwZXegFbw4jvHKmSSknY22Krs4tUikwplBJ4holSgjibBLR2dw892Od7q3O0gwhHSNqDLub0FD3pcC0w2PM9Hp0tMwxGlLSA/fW3mVs+x+zDf8Bo65eowRZCE+huFewq1vQptJkHGCmLwsnvUBq38FvXUYmPEgKnvsqVC88yXS6iCWPSFTDxyRJ/0lckSzAKjUk9tdDIwiHJYJ+izBiuv8D0I/8lo+vPMf31P8UqL5BVT6K8I3RTRWDZaN4Sju6i6z9DpD2mlh7HcQs03/ohCMFYmphuFc0QNNdepKNbTK08jrv4NGUszNF12lIRjzrILMIQJk5liXI5Iw57BOMmid8lTUJKjVUGowwlE2Qa0t98ftLX+0MD9w1KMtp7E8Op4M088Om/Ye4TeeDOfWH5ScZLB4Nbg/Z76Jrg+qBPQY/pHlwhlZN8bJRJUqkI0pSKZWFqggyDKddFTwO8/hpZf4eDYUAQxYzTlFKxzA9WHqF48gx+KpGBhq5rJCh2r73E4twKpaWHcQpPEycxodTIhMlec4vh+edwTlhcSUqsLH6XqeIb9K89w/TJp+l2WwgkUfMqxbkHaV34S2QWIwwHFQ2RSUAW9kFoIHRkFlFcepJx6zpRNCTo76EMh1C4rFd+g4u7WxxuroGS6IZOY+QxU3BY/cp/j3f4ErqQtN78f9EMC2P6DCYee6MAfzzpL27pISPe4pjQacx/hXF/l/76a5CFN1MdQuiYhRp2dQHDKjDubpClIUl/h1JpHksTyCQki32s0hxC00n9Llk8/PBfpMrwmxexayvo72lB+2WWB+7cF9Y4SZlyDaq2TjNI6UW39vZoOBo/3d3kd+drWGKSEpE3Gt/pKKRS9KOAWddDZCGnlx9nvH+e9u6bWF6DebfAtG2hCRtdhmRX/ho5uEZ1+gyF0gLj+lEKkQKRYaRDgs3n6JVPsT/yyaQkSWKyJKA2e4xmGDNWGS/ubvHEscc5/ZsP0dq5zP7m69RLNZKdl7GO/HeUFh+le/UnGHaJJJ3k00FDAQKFN30ab+okrfN/BQiyLEFf/S7P7vXZGPgkfohpOmSJD1mGHwy51FxjpzLHU0vfxvzln4GmI2unWeuHhFmA0HRMMbnFqGkG/VTjjcuv85BVpWiVMQ2LLIvQ3MpkOzWho2RK0NnCLs/iVpcIextocR9Hm8Hy6ox2XycebGMVpvEPL1KYfwizNE8y2J3coHxfTjsetUjHLfTq0qf+vvmklFKkYY806L3bbtf0MLw6uuV9/BPcgTxw575wwiRlz495szVmexRh6xoP1DyOlR3WBgH9KKPhmBQtiUVKK4qZK1XZbG4SpBmpnMwcTQGmrhPJlOXGIgVdo3NwAbOyzP7QZ9jZZ94zSYZ7yMSnZBr0hx10rc7ulQ3qU0VszWLcidDtOlZ9nsOwjz/uIZNwsjJRCNz5c+y3IzTPpTx3hkuBoOE67G++gWu5zDqCdGeT8darFI8+CUDU2yLubvFOxYZZnKE4fw6rvEj37b9DJD66ENi1FS6rKdYODrAq80i9D4bAKkyjWR5ZGpIO9xjoDr/Y1fn68nfQMCZBXmkIJrvVC91CmC44NaJMkQU9rl97iWMP/S61s7+Nv7dGFhmkvpwsyNE0LE8ACZZrEY8d4nELM+hROv49Wluv4rhlhNBQWcRw4wXs6hLlo98gCXqTbd/SBMWNT0sqIw162J/jwK2UIhkdErSvEXY3bt26TuhYXgN3+hR2dQnD+WTVMp9q4BZC/Afgf2Dy7noT+PdKqdtvqJfLfQKDKOHZ3T4/2+6xPY4Y3UiT/L0ueHy6zL863mCcZARxyE5/yLLjYWomVvUYy8U1dscj2mGEUpL4RvVH2XJYnjrK4fZ5sOtsDlOkP2ChYDNqXSWOA0zdQOouSaQRNa9hWEuEQYZZdHFDn3SsGLY8yqUyoTVEWCYF26a2/Cgjt0LJDdhrreMP9nGrR9jyFjlx/HG80RaydQElU1Q8Jkt8ouEhjTN/SOOB358sBNIMlMoYbb1K563/DyUThADDLmHNPsSVizvIaEQWDkjDAVKmCNXELs2hOyXc5aeQmkF3sMt+YZZ64yzZ6DykEQrwqotUp1eplRoolWEISNOYwbCDhoc78x16lw+I+92bH1kUkAxAswwKcy7Fxim6oxaF2YeIEx8/9KksPEToTzZVVmmA33ybsLtO+ehTxP1dCvOPTJb5R5OmWne6O9BnQSlJ0L7GYOMFZPIhOxOpjHh8SDw+xCrNUTn6jZvlkPfiUwvcQohF4H8CziqlAiHEnwP/Bvg/Pq1r5r7cMin5xf6Av1lvE2eTWbOfZigFrtIpWRrP7PRI/TbNXpNDpTPIBIYx5N+fmKFUmmMm2+VIsYyfpigFlqYhDIdibQWpBCNlUR60kUSocJ8kDrANi5pbQAUCKRVhf5/y4jLNt55j5sEnKZ1YZHh9jV7XxzEtjtaniLIYq3GUsVK0rvwTp+bOcnJlmssHgv1ek7FcwZ05SeC30KcfxqwMsOfPIROf8uJj9Nd/TtzbRsoUJVMMu4RTP0rt7A8YXP8XsqBH5fjTNBObYXcPo3KE1K4S10pkaNSKRTzDIAsH+HLyuqJY8nZnxOO1YwhnB0MlHFl5jFptjnGU4McBpBkMt0i615lb/S30A4dWz6Z+5nt0Lv6UdDwAmSGzDCUlWZwy3G5TPrrI1EN/hFGaJhzs4pkGmjfLzsV/pGgWII0ASdC6jDfzAGFvE791helzf4wQgjTsIT7HGzSEnXX6689O6uo/Rjzcp7/2cyrHn8a8x92PPu1UiQG4QogE8IDdT/l6uS+xfT/mhf0BfpLRCRN0IVAKokzyrcUq64MIFfUpBNvoukW5UKM1DtkbRfyvF/b4D2e+gZH8M2uHm5i6jkJnduEsdnmRF0YF9nslOoHPXGmRR0+dRN//BUbcR8gELctIohRQaMYsbmOR4lyH0cEWYvks9Sf+NcU0QGVtZBbgjw+5vneNkT9E002GF/4Ryynx4Jnv4k0fY5gJzOoybWeNQWeXSuUElfmvkh28SnhwAZnF6MUZCHuTGu4sIuysYbg1amd/QNS+TnHhMd7qDdAXn6CDx2A8ZMHVOVMx0ON90mCMZZiUazMEps3baZnuaEhQrzGUBo8/9ntEwuVfNq6x2+0Qpym2YVDzpnnkxENY+gr7L72NcBpofoXq8W+RDDfwD9ZI/He2b9Nwp5coLT6JXrE53PqHSYXJ0hOMBwfEcUBg6HiGPdnFx7AI2tcpLDzCYO3ndC7+PVPn/hilMkzv3meon6Y0GjDceeWOgvY74tEBweElzJWv3dM1P7XArZTaEUL8L8AmEAA/Vkr9+P3HCSH+FPhTgOXl5U9rOLkvgYNxzPogpBUkBKnE1AQly6CEouoYvNkaMJe26McRs/UGmC5h4iNlSjtQ/G+XOvyPD/4Oi/UNkv4287OneHMgaA8sHFunOQwZjHq0hgMOOgbnpk+yekQxuvZPKGVilupUFh/ALc+QdS7hOiFWeQq3UUToQ0hGtK+9gG7ZjFVIEEcITUdlMbpbIc5iNt74a4488F2uDVPi/RQ32mVq9SzO/MOk432i4SHu1ElkNJgsuZcRUXsfoSZtVtNoiFWep3b2vyDtbpIVj7LZbqLUgG/POZj9K7SvbTIc9ciydHLjTNNYXTjKEzOrbHk1UBmnz36HK2ODVy8+R5zEqMmtSaRMCUKfqcIUaV9SKC4StNdxaXC43cet1CkdOYJRMNB0E6V0/D2f4ZZHstOmevorDAa72PWjuFEXrzyDYVhoyZiwdZmgeYmgfY3K0W9gFWYwCg3ScEBh7hym9/lcJp+MmqR+967PC7pruDOn72nW/WmmSmrAvwKOAT3g/xFC/IlS6j+99zil1J8BfwbwxBNPqA88US53h/wkw08ygnSSJkmkQmQZX5stc63nM21KwtGQKc/DFxYyjlgoFLgcRygUe2Ofn+77DGOLU1NPcj3QuToeoytBBYHm1tHDMaYmEEhevXYB49hxlqZWEbFDZeEBxmvPkx3oCGmgGzDcfoHB6wHls99Dq64QNNfRSPCm6kw7JgfDAGF5pOGALAmQUjLce4Nzp34Ltf0zotEBjZXHKRiSaNSjVJtnuPniZNUkGlZxisYD3yceNRltv4LKEoY7r1NcfAwlTDIlCaOQ31muEm8/x25rGwBN0xGmDTKl4doUokNKnRHfPHKOwvQD7IeKja0dDMNGygypFAINlEATGouFBXYuDtENl5X6UeL+VUy3xnD3Gv7OjS3fAN0uohkudqOG5hQp1WcIgxZbr/9nNP8QPe6hK4lTmsabOkH9zA+IBruYxVmcxippNCQZ7iNrK6TR8J5TC58WmYBOuFwAACAASURBVCX4zcu8uw/nncvCAcno4PMVuIHvAmtKqSaAEOKHwFPAf7rtWbncXQrTjFYQY+iC4Y1l7QKBJiBKJY4OtqaYL2jo5iy6YdIMM5IkxjEKrFYq7I5HBElKN0rRhULTDc63h0y7LoeDMXUHTK+KPW6hZwEChVRw8eCA5aWvU1Mp3df/ElSGN3UC0pBof7I7vO6WibsbpAcXmX/wKdqX/oWwf4Bh2kxX5tnvHJDJDE23cF0LISMW6nUOrG/hPVAmFIqygHD3VfrX/vnmzToBBIcw2HiOwvwj1E5+l87lHyHDhP7WLyif/a8w9secnSpB85ccNLfQhJjMnZVkpugyZ5sUVIgtUrLWdQ53nmfq3B8Ttnb4SmWRR77yKJe6Aa9euUAcT8oPLctAZDpppjEKA8ZujSmzjDAthOmg4uBGeaJAxj52eQarUqRwJKV16cc0d19CKIUyXEwmHQ3D7gbJaJ/iwqOUl59ktPc6rTd/CIBueYSd67gzD1CYewhv5oFPPYBnSUDqdyaNwZRE3OhRY7iVW46b1NEPPuJZPl4ybsP0xx/3fp9m4N4EviaE8JikSn4bePlTvF7uS8hPMl49HHK55/PUfIXlss1brRR1I7Cerbk8WZP8YqtNNNxj1N/CKkwjlUmpNE2sF2iNIlaLZVJgtVLhm3Oz7I3hwVKIno2ZMjtofgthelRmVwgHe8SjJobp0h328AsPU9z6CZoGVmkZlaWknQ2UTNAtD7NUQyHRHAe3MsXCV/81SeITh0PCJGHoD7B0g4pjYSBx9JRstI8wqpzf3+BofRZj++eMdl5DxmMEgndmeIpJY6nR9svIeEztxG/TevuvCbobuFGPsin4/dVZkp7PV0+cRlOSOA4I/R5hZw38Q/Soy6C9DjLFMk16W6+QWXU2X/1zytOrrCw8Qemhx3jmwlsI08XzShh2CakpdD2h70dU7RqWCjCdKmkScqMsHqEZ2PUFKssGrQt/h1kaUXZsNN1ANxx0/QhJsEg6bmEVGgTNyyTjNrOP/dsby/4DUr+HkgnDrZcms9ThAeVj38QqNH7l76c0GhL1tglal4hHLVDvLN4SGE4Fp7GKWz+KWbgRbZW8+eniXqjs3iplPs0c94tCiP8MvAqkwGvcSInkcr8ql7o+l7r+ZIanJN85UuNS2ydRimNlm+9VumxducJCdZVLzRGmaYOSBH6XaNxmev4MFctjvd3leL3KwwWF3t1gmFRJDt9mPG6CjDF0AyV0Ms2hOnMCrzRNNDrEGHdIrRqaYWCWFgj6XQqVMlk4xHBLaLpAdxs4K48y2nmFg5f/TzS3iN9awyjOUFp6gsce+S7dtRfJehuoeEyQhniNE+idXb6x/Di6FtDvbpCEA6QQaOrdwP3Obo4KhX/4Nk7jOE5lEaEUhoAHqhbpwUv0N56j1dm68cdlHre+TGV6CRk32H/jh0iZYGkaCI3hwSWmH/6vaa6/yKB5lYoQlGYkX3/0KX603qYtYWwYKNfDQRAnEdLyUFGKXZ5H+i3QJntzFufPYBQUo/2XSYM+VjFDDnaI4jFpEmJZDlZxBq+xikwjrMriZDn8+rMI02O09Qus8gLlpa+SjCcz4LCzhtANKqvfwbALH/XWuGuJ32Gw8TxRf/tDHp0sqhntvErQukLl6DdwaisgdISmfcjxd0Yz7q3/yqdaVaKU+o/Af/w0r5H78upHKdf6AUJA3TLoxglnGhb/89eO8MzWkBNuxOHll6iVijw836Dph0ilSOIIM85I05BO8yrLS19hqTrPbzQsVp0Q16iweRhh2h6aqpL5rUnDJ9NFZZL+zms45QWcxgk0bxpLNwgGhyB9nFIZGfTQbQ9N19BLs5gzq3Qv/i1hdwNh2Li1JUxvDBJG68+TDLapzj9Cq3ud0O9MFrroFr2dNzC8CroMMA0LhSKTky3FhIxBN7ErS+imi1IZqd9jfHCe4pEn8KZOQdine/lHBHtvTlbxqYxEKtLRIVH7Cm7jOIZTZfrM79K59CNkNAQlSRN/8mlBN8mScLJsXprUq8doeAUu7u3wdt9hplTl8CDAMW2kW0AnwXRrBPoaQigKc6eJwgFOwWK0sYXSAvz+JmnYQwMs055sbty+jm4VQSbEo+akb3hvi5nH/luyeMx495dEvW0Mu0D15HfJojFhew1v5kEM+9iv5L2Uhn36688SDz6+8C2LhvTWnqGmGVilyY72adD72PM+QGiYpbl7GG2+cjJ3HxvGKalUHC0bbI/7nN8eULAEvTDlVKPCoyUPz/0KYesy1sY/8Fj5NM+tb6O7FeZmlgmTBNfQ+eq0ywk7gMOXUHs9YsPm4dlHGFljNv0Is7ZC1NskDfvoVhGlGUS9DazSDIbboOy6tPUplF2k7nnYY4GuQzru4a08Qfvi3yIMG82uIKMImUjifogQGsLQEYM+w+wVSsu/QfDmX1CcOUXS36Nk6JTKM7Te/lvcqRVsr4aMfTSrSGnxEbyp0ySjA7JoiFKS4vxjKBSVo79JGg1ov/VDouE+Mo1QWYzQdAzTRreLICVhbxOnIkETlI48Qe/aP4NSk1X0aCilQGgEwYBqOWW08xpn5r7NwaDI250Wxxfq7O9mjFOfJCshynWUElRPPU0mNNI0Rdk2ptkh7G7jzBiMuk0MYSBUClmCphk49VVSv0U8PEAzXTTTIR03iXvbOPWjRL1tlIwJO4e0z/8ls0/8OzTNJB3sMeptTzZx1nQ0r45VWUQv1BDa3YW2oH3tjoL2O2Q8ZrTzKtWTv4MzdRK/ff09aZU7Y7i1d1MudykP3Ln7mGLKVfx4e50DP6BqG1ztpywUbX7ZbHM8S/G3XyRpryH8Q6ozB/zuiae51I/oZDEztQaPVqDWfpbx5vNkfhshxKQ87/AqxyunmFpY5KW1K9iVo5PVi1kEMsFw6oxHPZbriyR+j1avCUx2j5nXTfQ0xJ4+RjTaAyVIfYlmOCgdVJoCAqUUKs1IhhFZnOAtFClNn6Q6f47+5X8mDfo39rX0ycIBTmUJEDQe+APC9lXab//VZPcbYaCZLqPDiziNk5SyhHiwP5m9hoNJWZ7loZsuQujINJy0cE0ksX6A4VYpH3kC/+A88biJaVdBCGSWTNraKkUaDfGTTWaWImq2znpnxEbW4WtfX8QNYor6iCyK8PsxvfYITQhMp4xdqzOOd3EW5kE7RKGT6Da6ZqDrOnphmsybIg16aO4sWjJCJEOEbpMlY1SaoFtF0qB9Yym9QbD/Nl5jlc7bP8JtHL+l/0doeljVIzgL5zCKd1b3nUYDgta1u373xaNDUr+FWZjCKk4TD/fv6nxv6iSGfW97cOaBO3ff0lA8t7/D5e6IumOwP05oBTFpmvAnq7MMrv4N3fY6J6tTGCIk7O8j1Qs8deIbOIUGliYI158nOrxI2t8iCfoYdpEsGiLjMU4qieOQh5dXeX1rE6s4R9C9ju7WCTBpmBoP1Qy297oUKzMM2lv4oURrVEk7KYX6Cn7zAlmsk0URWCb29ApJGKI5FkrXEboBUqIyiLp7zDz239C99BPM+irOwjnM8gJWaXqyaYPXYOboU3Te/hv8g/M3fggmmQIVDtEMm3J5jrC/TW/ndSJMNNNDFwIhNJKgC1l8o5OgAJkS9caYbo2wu8H0o/+GvRf/d4pzDzDublN2XTQxyaObtoXUbeqOw1cWSvzg7ClmxQiz9zrBYJtkDEZlivmlBRbNGtE4Y9SZbKRcqjts9AKkdKgfeYxkeIBmOijNIjUL9IKY7jAiSRNcu0ijMIVXPIJmlUC0J2kbu4zh1jGdKsON57BLs6Dpt2y+AKASn6h5mXTconDiW5il2Y99HyWjFmlw93XYSqYE7WtUK4uUl56ke+2nt/YnuQ23cQJ36sRdX/MdeeDO3bd6ScDWeIREUTB1dkYRFVtjpeRQkyM2Bvv4cUg7CinpZerL5xBhl2D9GfqjfSqVJeL986gsxq4ug9gBmQCKLBphNN+grFIaiw+x6RUZmR6a4VCuzLDqeRwvGfjjPpvjiEeOPMKos0UajwhUA8+rogwbmYGMEwAUGnphDlk0iPwu4bgLCEzHo7Z4Bq+2hFM/QXH+kN7G8/jtS5PUhlNCyQy7eoTR3psEnTXQLVCQymxyY1booBROeR6ZRYzbGwhdx08FZUsnjYaoLLpRkXKrxG8Tdq4jdJupsz9As4oEV/6JLOiRZJPVoKZbYcqFac+kWinh777K6OAN0lGT2sJZPKeMf/gW+7/4ISqLcapHMMtLCG8as3CMhbmjHF59jkE8wtU12v0uURJhWi6GYTBfnGaQObTHI4ZhQKFQ49EHv0kWj0jGLezaMoZVJPU7mJUFsjSg8sD3yUaHkHyw/VHmd/DXnqN46rfRP6ahUxb2uZc6bIA06KKyFKs8R3X1aQYbz5P4rY8+Qeh40ycpLn5l0knxHuWBO3dfkkpxuden4Vj4icTVNY6VXUxNMe0VaR+8gdJsNE2jn6SsrP4Gw+2XSPo7FF2P0syDpM2rZEGPNOiSjJq40ydJxi1EPJqU9IU9xP4r2MUqv3fme4yljjg+SyYhSmKU6WKU5pinSE/6LDz6R7TXXsJXOpXGMfTyLNJ0oeBi6jbW7Co7gclB18dzSswvPczU7BEs2yQatkj8Jp1rP0WkPqWZU4xlymDjeUrLX6W39nMKi48Stq+j6SZSN5Fy0n528vOYlG6h2cg4RBcZaRJhW0UCv4upGQjdmuS6hQZKgTBApTdL0pLRAe7UCcL+DnK4i4ZACnAsF9ur4yuL/qjLYPsnqHgIQYdqY5lk3GLvtf/rRs56UmER+we4YRuzvEC3dxHTqVCfO83alRfAMpAoDNNBKUk47hD5PUr1JUSpQnPQQ7NKXPYNpo7+Ia5mkfQ2CFvX0LQbr1jTMYsz6KUZrEKDpLWOfN+sOR0ekgz2PzZwf5LmVUpJlMoQGNiVBWqnvks8PMBvXiIZt248t0AzHZzyIu7UCYzCDLr5ybZiywN37r40TjL6cUqcZZyqebSChOv9gClbsGh7NMpT1O3HMMnQdQv8fXq7b1GtH0EmY+xCndFmF6UmM0qZhkSdDazqElkwWQ4OoGRCuPcGxdoCBd2hW36Al/e6rLfbFGbPEh3uUzVSTtaKqNpRlmtzMNql3bqOkwHVFVK9gPIqjIVNEI+pNeZYOnoST/cZXv8HwlEbx7IozJxEedMEzUtknetUT/4WKkvRLY/6md8nHuwRD3YwnDJpHBJlyc0aYiE0nNoRlGaQxCN03SKJAyxdw0dD6RY6gF2aVKUIHZCgwPAaWNVlzMIU4fAAa+ZB9N4+hbBNFg5QVomuH1I++S16B1dorr/E6vwRpFtEphHNC397s395JiWaAJRk3LxCxSqQ6SbJ8BCnvkJ98RzdnTewhSJKInTLQwodpSTD9hbl2ROMHY/K7Eku98dsJmMe04oYKgOVkfg9lMzQTZegfZXhxguUlr5K9cR30Qt1ks46yHdvEkaHl7BqK2i3CZTiE+xnqWnGZPehGwynguFUsKsrZGEPpSaLwYRuYLg1hKbf87XeKw/cuftSphTzrse6adIOEvpRykrJ5XvTDnPJIdbhL+keXsEwDI4/9AOibof61AqGUMgomixhkQlCswCB0ARp1MfiCLpTnuwyA+heDbM4i1U7xpq2wC82tvC8Kk89fAYhIPCH7HT6/PziGt858yBdp8ibvsNc5SzzhQLzpSWuvfgX+PGQXtDh0RMPM+VYhDs/Y3fvLdLYR9d1lEiIBjukwmTq5LdQlkfrzR9SO/U9knEHb+4sSsaTRSkyQ2kWiAwhNHTTxS7NIHWXYXcbLUsozJ6B/bdAJliGgW6Yk9eVBGTxCJXFk1k3YJUXcBsnkAoGa79gavos1pGvMejuYmdjXNsDw6M8fZzg4o+pz6wyjGPmjp6j+cs/B6GRZAmmpiG5sZxe09F0g8TvoBWmsEpzRN0taktfo7lzgaJlkKTDyY1gyyOLfZSSRIMDjj7wu+y7R9i59EsM3UCceoh462eoaAQ3ZseaWZh8UlCS4eaLZNGY6vFvY9ZXSNrrN3Pf2biNDPto5sxHvpfMwvTNTyN3y64dnXyCeR/dtNHNj8+v36s8cOfuO1ms0PqCxaxIQZlcavtUPJM/OuISXv8nrjevcbxcIhgeYpgOIvHxd9+gWD2CZhfJnCJKM7FKkw10heagZIrQTbIkQDg13MI0mm6S+B3M6iKJMCk7Dl878xjX+wFX9g+I4kmb1hNzC3x1dZX9YMhPr15lyoY3AsXWuMuj1UVKc6u09q9QqUxjaYr+1osIv00SjSaBVyg00yVNU5JszMFbf8XCuT/EKi/QvfoTZr/yJwy2XsKpLuLUVlBCQ0dDC4eT+mfDIYojDLtMeeoEjuNBlqCSkKB9GRX1kKmJRKHpNprpkmUxSk2uqzll/M4avbVnqZ78LtG4ib9zganj32TsHSUwiwRakeZ4jfO7uxQsE88QmO1temGE6zYwsgCV+Ji6Sfb/s/dmT5Jl933f59z93twzK2tfurt632bBDGcwIEAAxCIIIEUtpkVbITFC9oMfbD/4D7D/CL/IEQ6FQ3KYEdKDRHEDQIAACAxm71l6eu/q2pes3PPuyzl+yMIQEgGIDJKYBlnf18yqulV17jfP/Z3vohlomonQNbI0oFRfJc8TRHUZy3aYPfMCRed9bKeMLqCQitQqoVslqgvXKM/fYOPR3vTvY3lsjWLWq0uE4QDtZMzjzV4iHe58tCbCo9u47QvouoVVWyI/eU3J/L/qbDRLLazyHMlo52e+77+EZpWwqot/+QX814BT4j7FLxTyWDF5UhAcSqyaxXqtyd3umE+2Xdj7Ad2DexSyoJ/YzLbPUrFsRJ6QB12yySGlhZsYziJRN8adu0HU3cRwK6TRCKkUSrMwvRmi/mOKaIhAUL22xnEYsxP2GESHmLaHmY3w/SEH4xGb2zqrZ65zfmGGhm2TFyENUzHsH3IXg5uLLzJnODQch8Hmn9J0TfJ4CEzVHpZbJs8L0iwCCrIiY7z5GuXFZwjvbJKGg5OwJpvg6C6618Seu04U+Kg0pV5bY3ZuBoIe8cNvkyARKEqVeUoXvkzsHzF8/G1UFiIJ0OwyhlMnC3u4rXOU52/Sf/wdsuCY0ePvsPyp/5mN/R2efPB9rjxT5sO0xqsHHb7s9sgND6kLmjOLRN0PyQpJnCZUHBfXc0AW6DJDJhPyYlpIYZZnCQa7mJV5lG6x+syv4++tcLx3hzQNcSyH2eYa0irT6XYId+7hmpXpLD9PGKcZuulOP3iEgenVMdw6480fnhy1auhOhTQ4prryEppdxjQdVBZNTUU/4UD2x6HpFt7sZdLJwV9q3u02z35siYWnxH2KXxgoqfB3CoIDCRrUqjmVTPD3V5qsWT4P9u4gZTENmNIt6p5NfvwANXtpql8uQookQuYZmf+Eyosv48yuT115XoMiDXGq84TdR6RBH4Dq+c8iK0sUxhz18SH2+B5FFjJj16HVIFs8y72uz1EY8eGHH/LVy+u839mC+AjP8QiHj3hXK9Gq3eRCOeB430YjRzd0KtXm1JgjBEl8jK4L8rxACEEadjFLTWrnfhlZpNTOfYYiGlCav0FwfI88DcmkZPHsi6jBNoMnr1JpLBMd38dyyliVBeLkEarIMGoLtC5/hd6d351mdycThGZSP/95SgvPMNx8lWS8h2GVkHlMNDnEqixQ4pAHj97GOdNAyen4I5dTx6rmVJEyRz8ZiUQF6KaDVYxIwwECEOLEmq+gyDNEPOFg+wP0uWcoty/jToZowuZwErDXDanmO0STYyoLV7Erq+iagczCqX5bNxFCRwmd6tonCY/ugSrQvSaGW6dIfCY7b2DXlhlvvorltjCcCt7iM0jxX1eM2PVVyovPMtm79Rcy0jiNM5QWbv7EMcnPA6fEfYpfGGSBIupIEGDXB2TjR+weBrSqZVrlDmcrVYp6C91wqBuC8cF9NKmThiNKCzcIDm+TxzFOQ0PUoP/wVZqXPo+2+x7R4Yc4pTYyi1BZTKl1Fnf5eWR9Ga3UZnz3uxzs3aHIU6QsMOwKuQRdN3j2/C/z0Chx//E+j3tDFis1OuPHlCtz+P0HFM4moj7LsL+HVW6j5yOk3UCmoJIC21a4Xg2lCorCQQmBgSTuPSYLh4T9HZRmkPrH1C98ASUA3aS9+iKM95lsvYFXXybzjzF0kyINyPwOdmMNYZdR0QirPMP8J36b8f4t7PIs5eXnMcsL7L32fxH1Hk/VIEpiunX8vVsszt1gkus8miS4/jZnq5exDJeSXtAyFXW9ILFMTEtQKEGqNJIsx9KdKWErBSjESZaHlNPsbyU0Rv190qBLtVTD2H+fJUwOE8FhFLFUaSEoQDcwnSoFiprrIDKB4daorb2MUoqo+wi7vgSaTtR7jMwTQE1DqeIhhl0h7j4iTwPyNKC69jJ2bemnri1NNygt3EDoJsHhbYrkJzfOC93GbZ6hvPQJDLvyN7LO/yI4Je5T/MIgmyiKBITpk0zeIzh6zMW15zBdFz0YUdUFkW5z7IeofEjgjzA0nWjnHiuXXkH3e+SBxJtbQqkCzXIJxgeISptS9Qt4tUWS4Q7G/HWwPGSR4jgVOo//lL2tWyd2cIFp2CiZY1plomDIzv3vsH7zq5xrNHhw3OdrV88x8hpousmFq1/mjCWw6SPiA/zBNuVSCZX7oFJUkZNNMoSQCMPBslwUIPMUmScUUoJuksb+STpgSG31JZLJMValRffBNzB0A8erk43GCMudOiOLlODoLnZ1Ht30yHrb1G/+BkZ5jqj/mKO3/y1e+xKmUyFWOTKdzvh1p0p48D6zi8+w23lES3dwkzrrlTVmSzWqNYvx8WMGHQdbaMT+1G1qWS6a4YDhYtplsngMaJhekySeTEkbKJVn0DSd0B8zv/48Yec+jixoyAE110Y3DMrzF3l/f3/6BBAcseaCNoL5m/8EJQvGO69jeA2kKogO757skLWpukM3QImpwUgz0N0aWdhluPE9Guufw6r+9GwQTbcozd/Ari2Tjg+Iug8p8nj6f9cNnPoqTuMMhtdC0z9e6jwl7lP8wkBmCpnFmKUjwuMjSnPzlKwB/dFjEDF50MF1ylxqzJCHLm7qEWUFwaSH74+Ye+l/RKVjMv+Q6OAuadAj0yy89gXqy59Ar8wzePgtFGAaFrppo2mCbmcDVfzIRKOQRYqmW5hmC4ROUWQM9z7g+cVP8o3tIxwBi47DarVGU4Ucb7xO6rWp6TauaSNUgYyGyCxC021AoIoEmUXIeIzuVlEyx67Mk+fbOM01Bp0N0G3i/mOqizeYufxFwiev47kVdLuCaTmkeYTMp201MpsSTiKnSgnd9OD+10nyiMnW94GpdM2sLsHJwazdWiccd0ijIUKmxHlOHA0wrQ1+6fLnuLfxASWzRBSOkMePOHvpUwQHHyCLlDSeAD5euYXlNcniCQqwyrNMhvuYlodZnmPhxldIlc748Db9vVtobgk9C5k7+zz9wdSi32ivMRcfcbFSp25cZsXOSPXn8HfeJDy8jd08g15fZrL12kcqEygAA2SOLGKEbmPWFtBO7PBFMmay+yb1C1/6mRpqIQSm18T0mjit86jihLg1E/2vMYnwr4pT4j7FLww0S1AUEa6ncFt1RpvfRakEd2YOZ+E6lijIBhsEo20st4nnOJQbTZpLn2ZkzmBKjeTgITLqohc5ul3CEjpZ0KOz8QMWLn0er7FC0n2AKkK8uZeIehtTeZsQJ7kdMNV9JyBzTNsjjX2SyTFtLeRis03bMinLPs044ej27yJQeI2IxZv/iIP+BtJwMNY+jZI5eRoBoGcBwt8jD3sU8QizsoDhNTHDHm5tifHeu+iWy8zFL6DrBsHBbdLuI8xyG92uIJOpaQgBFAWgUEJDCA2ZpxTFmGy4R+Xi5wkPP6DIoxMN+3S+qzs1gnGHxD8+0RoLLJURK4klY9LeI9J4gldeojq7zrjzmCgO8ZpnCY8fTHPBlSQJB5iVFqZTQXdqFEqhGxaVpedQmkVv3OeNt/8IpRQlp0TJtqmIhEYwwhCChWtfQ6UTblg9drbfxbYV/WCPPB5jV+ZoXf8N4t4TZBpgeA2yH8sH8WYuEvc2kVmMEgrNqZHHI1SeoVDk0Rh39up0xKLUifLlp1OgbtrwVzTK/E3hlLhP8QuBXEoyOyFXQ9BS/P03KOI+RrmECrtk/iFWZY6ocxfdrROFA2oXvsBR7TneORjx/GqDBx98E4RO1XSxDB3LMHB1MW20yccM7v8hbvMc4/E+6eSQ0uxVgqMPKTUuT7M1snjavaimBQGyyDB1HanraHmEGfdZLS0z3nsHK0vo779D5Hdwqgvoiy/TEw3CxlV2jzZJlEKXBS3bRZcpSWpQ8taolRdR3Ts49WVUnlBdep5wsIMlFI2Lv0oR9Rlsv07zwhenZQ5unaBzH6e2eDIiyRCGg2Z605B/OSVxmSekkwPKQkN3quiihts6j2bXiEclwt4TMFwqsxfwZs5jl+e48Oyv0R93sVVK9+gRs7UzvP/4fa6eeQnDcDnavc36xU+Rx0OS8f5Hh5FF6lNuXyDJUpJohLv4PGGSYM1d4P6jd/7sn6rktEgiGNCzXc4srDLc+A5W8yz+wW3abgMr6BEcfoBZahMcfcjoyfdpXvoyMkuQRUaR+AhNQxU53twNJjs/xKzMkwU9VJGRR6PpB5SUSJmhWy5Ocx3DqSLzeCoFrC5hes2/NnPMzwOnxH2Kpx5KKbYnIxg/wagWaAZEvW3c9gx5dIzpznP8/r+nceFXqay9hL//AXZ1kUHjJq/v9mk25ynGu9QsHVdG5H6PPJmQC4FZm6Xklgh6uwhNR7c8vNY62eQIhKAIexjOMZ5dIgbyLEYiMa0SppBomsApV8myDJIJaw0LeXBApdJif7CNW1vGuvbf8WZQItmdcK39PEWvw6g/DVoaZ4oPWQAAIABJREFURCEVU2e5Uqfb22Ok65w/90XKs+cwnBrJcJfK4g1kGiCTCcMn38d0ami6heFUQWaodILMIgynTup3EEoC2vSgFTAsjyJP0HSLPB4hdItkuIt1dYmgcx+KDG9mnSwakY120Wcvc/jWvyaL+jj1s1TPfx7SlEnYwXNrvPfgHc6tXKa9cIMo6TN7/R8y2X6dcLCJ41aw7RKm12J8eB9z5gqa28BqzvJw6z7jUReEhiampic4UYy4TbaHYxasgrL/Oo3FG+STAxSC8sIzpH4HqzKH0HQGD75J8+pXmVn9DZLJPnk8xqrMY7h10uAIJQvCzl1kHmM4NbKge2I6yqYHmbIgGe3QWP8cwfED/IMPcJpnKC88M/2b/gLglLhP8VRD5gmTaELq9xlsfJ+V9mWySYLbbiPTPma5RTLcRsmcyd4tqssvUFp8FmlWeXcA0mtzptXEO7xH7O8wGh9Nv2+RIYSgokuGnWPs8ixCMyiiEd7cVSZbP0RmIW7zHIXlcqa1SJHnaExDnXLN5tAfUiiwDJt6uUyzPkNZj4gNhYgH1OauYN/4F/zhts9R7uBnio1Q8veu/Br17m06h48JogAfwV4E55aukpkVsrUXkNKnGG0wfvjHzDX/B2pnP4W/+yZufZnU7+B37uLVl/G3fjhVUgRdzMrcNF9FTLseERrIHCULNMPGbp0l7D3GcOtouknSf4JKg+lu9uBdZB7jti8jNJ2wt4FhuaTB0bTHEo35K19jJAL6oy4Pt+9TckucmVskTxWV81+iZmgUvYckR7fRbY+F618jrl9h1N/h0aO3MWXCbK0OSJQSSEDpDsJwpg0+ky5HrodrxYg8BhTx4Mn0qUFogMKdvQpK4h/cxnCbDB5+e7pz9uqkk2PKCzfw5q6iWw7+/geYboM8Hn0k8VMyP9mhZ0T9J1RXXiSPx+TRCH//FuXFZzGc2k9ZjU8PTon7FE8l8nhMMt7HP7xNL5hgeXU4vkPhlaZ64XKNuNfFsKuIqobdWEU3S+heA6u6SlC/gh93sT2d+bLJcPCEYNIFzQKhIbTpmETlIUUakQy2cJpnycI+zdY57MYaRe0cVn2d4dYbJJ0HJFmOVArdMCh5VebsCht+xH4YUXM96vVVkriP6XewF5/Fbz7PDw5Dbh8cYNTW6PkhGDb/96OCGzM3efnGDZR/QJpGGHYZr7XI/vE+b7/1Az5zZpHF3EeYLrJI0e0Sk63Xpk3nXosimeCufx5/6zUA0qCLXprBrq8S9zdQSqJpOgh9ephqedjz1xl98O8oLT1PZel5Bg++iTAsdNNDJj6lxZuUFp7j+MPfBRS6WcKtrzA8uEuRhZh2hUvX/hGTcESpfQbNdChQBBpMRvs44RENJmhOHbt1kahxlfF4SHf7bZbtjDwcIOPpYallWliVeSbSINI0Qr+LUgVBFJCXG0S9R7jtiyRWiXRyiJIZUmYIzSD1O2imQzLeo3HxC4RHd0hGewgh8A/eY7z9GrX1z1JZeZF0tDtVtJxIuXW7itM4g+k2CbsP6d35PXS3gSoSnMYZNKtMaf46+l8hv+TngVPiPsVThzToMd78Pn7nAeHkmK5RZ96pYp/5PGrxOirYh+EOVn0Np3l2GuzjtU5mnmMm2z9knNmMj3axnArOwhnC2CfTbIoiRyER6FQcCxn7HwV6JsNt3NmrFPGY0kv/Cwe5zaI2IRx3SIIe2BViqciTiIE/ou66rDcWqXs1vJlzfHjwgP5gly+e/yIHosHhZMKdg0M0TSdFR5jeNHI1znltN+S9A5ObC0vE0ZigO6TcO+blxTlqjTUm3gJF+zn0hVeIGytk8Rj75f+NWrBFsvc2yXiPQuWUVl5g8ug7KBTJeB+vdQ5HrZGM9k92mRKhmVTPfgZhObSu/hqVM6/QefffTbNL8hindY7K2stk/jG9+3+ApmmUWuuY5TmyqI/Kpjkiyqkx0l3GjVW+u/VwapvPQgzD4szMMtdb5/GyHmr7VSy/y7AkqMk+Y3+bQTD+aNera4I01lDhGGHYzLZW6Nk2eZ6gazrjXKNqG5heC80qAQLdrmGWZgg7d06Ct0oEhx/itNZJwy6gplb3aDCtFnv4LernP48zc4FkvDf9uU6D8sINgsMPGG+9Nr0eoePNXqaIR8T9Dfy9W2Tnj6mtffLPNbo/TTgl7lM8VSiyiMnO66STIxKzhrb+Io3KKt1CZ697xDv3HvPZC2cpty9g2VWS0Q7+wbsUyQSrNIs7e5n6+c8SJDZFGjAzf47B+Bjhtcn90VQhUmQoMa3mkkqePIZLVB5heU0wXB72xpTzHnePH7F26Yv0Hv8pY7+HVAqhCnShk+cZBB2uXP4ycWOdnY13iNKQW5GiLCSYFcbFGLu2SJRJijw8yc1QIHOCIuVuRzLv6PjCoyZgtl5nWFzn1aDg3Vyj7zvUugEXKgaEHkm4xPqZdVrZLslgG6N1Bjd6hmD7DXTNIOk/QTNLeLOXAUWhe1grv8SodZWHwxhlZSwlFWZv/BbNbETcvY9ue2R+F3//FpZbR7PKZNGYoPcYw7CwvRrm3A0O2s/y2rt/jF5ZmmaMFDGGpuEZAn9ywBuTPRqmya9c/Q1KtkeBTzTcJ09DNCFQCHRx4qjULdI8hzxn0n1Cq7aAUh5jf0iU6KQyIgt6pKM9zHIbq7JAcHQbIXT00pRQi9RHSYldXaZIJkTdh5huHbu+QjzYZvDo2yx+8n8CYaA7LnZljiKLGG/98M8KGFRBHg1Pgq4C8njAePP7IDOqZz+N6dY/rlvhZ+KUuE/xVCEPumTCplO7yVEk0VWJcW9AoZdw3Sprc0uUPA09tDh859+QB12KdIJueoR8yGT3HernP0fj3FdoLaQoq8z+0UNWFq9hjJ+gI1FKRyAwdA3NdJFZxEnRIk7rLL45g6Uf03v8Jv7kmCKesHbxSzj+If7xQ/TUp2RZ2OUZvNY6BTDpbTOr66xe+hW6eo25aptJKliYMzAocAzJUQHDJJ8GS+k2GoJJWrBUdjlrJiy0F/nmVp/7wwSFxqzt0h8qdvWAO/gsOxmfmK3zvXuPWZ9tcrNsIbJjpGHRePa/IR/uk/Q3p2W8Tg197TOk1bM8nMTcfu9diiLFKs+xNY5xyFgt25xLEvTOPYRukod9lCyQMkUzPLI0Itd0qovP0Jn/JTaHXS4vXaPcWieOQ3ShiKM+x8f3OexuY3k1umHID46P+cq1T3P4zn+g7LioPME2bCT6dF6tmSRFgVIK27RQRcb4+BEzsxcJAg2UQDOcE+VOgQx76JaHbrjTMuOwj5IZCJ08GjDceRu73Maqr00Pa4sUszRD5h8TD57gts4hUx/dqRIdP/hzrTkyi6ZhXT9ag/GIqP9kWppx9jN/5ezsvwmcEvcpniqEsc++NkseHGKPDjjoHqCbHgtzy6wvrCEMDTcccHT3DyjCHojpgZNmuuh2jerK8wQH72L4hyzM/2MOJxNaWoAubapzl+lufH8685QFtmlTdj2EW6WIRlRWXsKqLvMkSLByn8DvgVIEwYBb917DqS1yZvkFGgZE0ZixP2D73veo6wXO5a/xwdYd1NY91taewap9lopb4eosHE8mlByNS60acZ7ysDdkY+ijaQY6BpZpstKo8/XNY5ZqFUZxQqtcJfUzilSimQrDsXgyHJMrjZdW13j/9nuY59d4rrXIZOtV/N03Ka+8hLf+ywjdIm1c5u4opdfpoXSP+cUL9Md9pDCmUjmnysNAEFrn+MSZVdKNb50cbBoY5RkMu4Yu5VStcu4LpPYKWTbmB4cdBocbqCzGUDlzlQrrzWd5Ye4amwfvESidsbB4NDimZJgYpRlMpzLddRs2hdBJsgyFwDTMkw9SiSwy8rBH2SlhagK7Mk886FEkDu7MDHk4IJnsY7g/FuqkJJo+Jf5kvI/SHdzK7NTaLgvMUpt4tE9t5UWi3mNMr8ng0bd+wqpT/3kOlZJTqeJwGy/sov8Mq/zHhVPiPsVThYHyKPrvsPvge8RGBc1tc35xGW20we77t1i+/KsMD94i9o8xnRpF6mPYVXSnRnX5Bfr3fp8sOMYsz3Puyj9nxjGwDg0e3fk2S+sv0778Zcb7H1BEA0yvhmFZuK11nNb6VN3g1ElUDTN9hGa403YT3UJpOkk0IDk64l5vm6woTlpkBKljYsQTbLtKksXoRpknvRGPkozX9ocUSlFIxThJWKo4PNNusVgp8eruIbqhcWOuye2jIU3PJi4kUiqatsFgkKCKHGHrIDSsSoP9OKIrHNZXVuj4MX6jSf38l+m9/zuMn3wPZ/YK5oVf42EkGJkOw7JDmoU4MmR9cYFw1GV/2CUMjhC6xabbYHbhBdYX+1iNMyTNa4xynUwJdJUzX2/RtRf4w9u36YUhBoqZWpUSJYp4gkoznhyPGFQbPHvhixyMdugqi4fH23x6/gLdw00qs+cZ7H4wnU3rBrqmkRc5htDJ8wRTnx4Yx0GfxkwLE4lTX6Nz6+sfKUqyaAxyWimnWyXyeIRVWaDIIjTDnBYaAMHxA4pkgl1qkk6OEJaH276MWWrTeff//cgB++MQmvETm8t+1ClpVRc+tjCpn4ZT4j7FU4M4L0j9LnuPXgXDQXdbrM/NM974Hs3Zdbz5Gzi2S3fzdWQ0JNdNNNNB91qU5q4x3nkdpSSV1ZexqssoUrRoC+qrzCxdI44nmLUl1j75Elrmk/tHaJqObrjkhgvePGllkTRLkEaF3JlBlwmaAN1wqVsQTo7JiwJX16gYIJTE0QqqlsFy2cNsPsvdyGP3wV0qM5eY9Wzu9Ua0PAczN9iZROz7EV9am+VfXDtLRY6p6BHvjneZcxxi5XGtXcbQBIUusRyBLELyKMG2dGquhi8lL6wvMdr7kCIHozTD7Au/zWT7NfSVT3JLm+W7m48ZFhp5Mj4x5Vi8ebTDWrXOsxef52j3Ed3JiNQ/ojfo0l75ErcfvMP+ky5hNAaZ4zkeF7wzfGurgzDqLNZK2CqnCLsEkw5FkXyk0EkmHd6OFvjSlctsjfZ5f+s+SfMVvHxIqX2R8cEd8jQEqWPpNoZmfSRVLLQCXTPIswRLF9Sq8ySjPnk0xnBtVJGiigKUmP4udhnQ8OauEg+30VBk/jGaOc2QCQc7WF5jOrfOY5LRHv3H36Gy9inGG9/9c4W+xomq5CNoxkdmnGQ0dW0+bbPuU+I+xVODKE0YHN0HoZFrDkvtRca7b9GcvYDlVDj+8BvM1/8p6fgAVIFmedMdV9nEqi6gigR96XniwTap36GadFG5j+uWsUouQX+LUmJQHI1Rpkfid5hEIYfjCX6SgjtDff4ii+c/Qy+aJ9McUmFRsU0sBCUiojSkbQnIA9IgQUOiWw5SStoiZmA12N7dw9AMJpMeXmWBxbLDKC3wDEGhDBwdepMJz5V0gs5tHtprqGSIH0NYSFrlKpozw0zF4qjbAxSVkkvb1cjCI7Y2HjC0z9Hbu0XulVHKx/JcSjd+kzdjjW9t7RHgIIvJdDfJVA+fypyH3YhOGPKF1YsUOw9wvTqZZvKfHh1hphbB+Oik+ksxt3iGd499NvpjZj2blqUIBzukskAznZPKLoUqclSR0uls8pYh+dRKC3/+PH7QoxbuI22X5WtfYef271OkEQKBrpuok35KWeSYpg2qoN5cwi0t0Xn79xCahtAFMovRdINCKQQaMk8wqwu4rXW6d3+PPBoiNA2z1MaxSlPiNWxst0Y8PkBmIZPdtykSn/q5X2Hw8BuofErUmlmaFmik/kfr0HQbCN0Cpi1JP+rkfJpwStyneGogkjH+uIsyS2hmhbIBY6Hwym2O3/8PFFFwEhOqI9CmB1SywKzMYthV/KBL2H2IAMzqIoYm6D/+Fn53g0Z7HderMtn6AcnkAKu6QO3yrzNKBvTDI0ynihIaj7fvU3VL2DPXEG4TkYyICzA0sMmxdUkSDdGRuBoYQuK2Vigm+7i1Jd442KOu5UTCIEkDkiTF08Er2YRZhlCK81WDSW+DW7LCZ2eXGQdgUICmU9N1gsgnn4wolWdp1UqkRcFsCfzeY4oiAyXJihyZjMktDd2d2tjv9I+4E2mkhURoOkUaAEzHDT/KmBYa4zThOzuP+dq568TS5g/ub1Ar1Zm3TYoiBSSGblKqzbO1NabiOLREwv7hFk3PRcgQWeQffV9VZChZIAQ8Odrmel3nomvjts6gbX+XrP8I6+JXWf7i/0EcDEjDAUR9iuMPmQx2yLMY26szv3SV+vIL7H73X09n4pZ9ksddYHpNsrAPEnSzTPPK32e8+zYyDbDrqxh2mSIZEw+2UHmC0HSc+jJeax2r1KZx9lMMtt7ALjVx21cI9t4GBGapRZGGf7YGNfPPlwv/7B6GjwWnxH2KpwYa08bsQhjopk0+3KI5f4nJ/m2K2EepnCQOqKw8T9J9xI9y+isrv0RwdJs8HpEOdyhSn6Vr/5jx5quosIfj1iCLUKlBIXMMr0UhbDY//AbtK1/Bz3L63V0MzabIEh4+epsXFq8zWrjE9qPXKVk6aaEo2zCMR9hCoqscmWdgeTjtqxxsvoFx8TLd/lRC5zkGqaYRKkFnMqFiGZxr1NDKOsVoB6EVpElEu7nMXtLBFSlCsxgkBUroqCIjGO9Sb18AYeB375NnMQBC6Bi6PnVyZhE4DpFV587uHYryGYTmkYddtJNdoyRFSTWVPQoDoZkM0hxp2Gx0UyKlU5E5ReqfxKD2aNdaHEUFShUslFzi7g5SaARZgaeZ+OEATTcp1EnHpFKAJE5TDsKcxfAJtcYyxc1/xu5owFv7E4Zyg0g4WEYZV9icWT3Hmes25fQYSyiKcR8hbErzl/D37qJUjExzijDAqc+jmSXc1hmqZz9J1HtCPHiC0zhDFnQJBpvTQC1ZoFAImVNkEWZphqN3/z8sr8Hc1a+cZJ38PSbbr2FX5kFKUv8AzbDRDBerPo9uuh+tSaFbaNrTR5NP3xWd4u8sdJVRtQwGkxQtT1BaTrXSZvf+96ZB960zGFaJ5vrn6EyOUEWK0Mypm25yRHT8AN2uMPv5/53ULOHHATEmpq6j2x7xeB+yEM0qEUrI85TB1ps05p+l23mClNPKr2Ho09l+l9m1X8Y1NPa33kUTKZomsDUFJ2UKllundv4L9A/vU8QTZCERSpKmMZY+plFeoI+OYZYJ8pgwDSmrmGBygKHpSGLCySHzesCHcR/DaaFrJrmUoAqKPEPFAyy3Rp5GqJNyglaljBZ1EZpOw3XQTJtBeYHh7haaHaKLaZSpkjma4aAJAdgoNBAaSubo5ESYHEZjEAa2ZSPjHo1Km7l2i4sLK9wOLBZdjYqeEtXaTEKfOA4QQpyUJUh0oaNgOjZRBUpJgjRDK3JsFF/fOWZ3EhENNjHtMsKuE2sGueXyYTdjc2zxiYV55npvoeUJ/sEdDK/G4iu/hcwiwuN7xP0d3JlzNC59CX/3Pfy9WxSpj1NbIZ0ckvlH03YcJachYIDQNJzmWaRS5EGHqHOXyvLzVFZ+iSzsU1//LCCmDlS3hsxThJjKEJWUCH06xnHqK+hPoQX+lLj/DqHIYorURwCaXXmqbL3p+IBJ5yFL7WUOekckaUJ5bgVLN8ijAU51loUrnyGf7FCaWad1+StTp2P74rRwIA2w6muoF/5XNlSZzp2vU5WSPBeYZNiePo33lAUSQZyEqKIgGm6xeOYlKpU2oyRFoCi7ZfqTAfeORqw1rvBsew01eIjVv4vWPIPMY0rtCwivTX/3PZLeQzynRio0MqkQQBoHzJRryInEsx0szaHi2WjjTWpOCVEE5PExSVyilvSZrc0yzsBB4BcKpSSG6eBaFpZt0ZpZRUpJHPtcaNcIDl6jUqnjGoos7NIZHpIFXSzdpNJsEWg6mukw1UuKqeQOhSYUqkipl8ochRGpElMTjZZzaX6eRQfGe7fobR2SOJdJJj3EaJOsKPC8JtXmHGk4wtQn5CezXwEgxEdjLF03qJUa7O8+IBylmM4soTBIkwDbcIn9Lrpu4DklJpOI7x4/5JVzZ7lQg/0//X+QaYhmOtTOPoM3dw6rvMxk/x4IlzwagyYQmkmRjMn8afbMjz6QfgSnvkZt7ZN0b/9HEDq6U8Xff4/W9bOY5Xnc5lkmO68jswAU2LWlaeSBf4zMIzQh0EwHp3n2JPXw6cIpcf8dgMwT4sEWYefuNHAHgenW8WavYDfW0HTz472+ImOy9w6xP6LWXObCTIOwfI7mTBviIbphcubF/xYZHTN4/Cd03vm3lBeuI9OQxO9gOjXq5z5Lr7TO7+6mXK8NGPlDIk1ypjpLOtqjyDOyfCpB04SOLGKUlCALcr9DtTrDpHeEa5uEUmClBft+zK1+wnLF4zeWb2DbNrW5y/R2bjHs75Fu/JCiyNARJLGPJzIcyyFJY6zSDIVUeIbOrp9wo1VC5ikUKWGeYQmDdn0RPe6jDR/w/Jl/yJ/cfYStCwrbmWZa6xoq7pPEfRK/h9AMVuZWeXZ5iWGxjD3ZIj18F7PcRgK6XQEENVNxLARxMkEgPlJ+6CfZ00oVmLpBUgh006VVd3i2rdEIN9i9+w5pMqZUqlOrMo2KlVNZYjTaRwt61NvnUXlAHg4RJ4T5o6cVpWChUiY59gmFwi3PMhwPcKtzZEEHTRO4pTq60MjiIaKIQbe47Ru0beskMldH5injnXv4h+9RXriBVarR+/DbzD7/D9BtQXB0m/D43vRDQzNOdttgWCW8+euUF59jsvM2qkhQcjojV26duPd42ku5/Tr+3luYbhNQJKMdxps/wGmepTR/E810savzmKWZj+u2+Jl4usSJp/hrhyxygoP3GW58l3RyOG1ZyUKS8T7Dje8SHt7+SzVb/00gD3sExw/JkgApM9au/Crr7Rmig1tYToWzn/xtKCL23/o3TA7vkSUB4523yRMf020Q9Z8wySXvhmX2/RNZl5KM4ozCbuKV6uRFhm7axFl2YnH/MegWRRqwVC0zXy2xWnNZX1plqeZhqynhH/ohR5tv0Tl6iGEYZMPNaY53EUMeYxQh9vEt1ttt7PIMemmWNAnxRI4pFLpQ7PshYSbJcPBzjbXZNRqmiWa4NI7f4uW1Rcq2Q7M2g5b0mBzdJQuOKbKQIotolxxeKIUM3/xXzFkFjUqVIgtQqqDsVNBMh9Q/Qgw3WGg0EVMqPfkl1Um0aYppV1FWBdcy0WTO1VJOdfAeO3e/QTI5RChJnETM2YKKV0XoJhpiOt7JY6L+BuXaHJquo+SPDikVmqaz3Jxl0cjY2rx9Mm8Gw7AxTJc8j8nzaGozTwYolWOU2njtS4wnA7YmIW5zAaEZaLqNUgIhLMabbyB0KC1eR+gGRqlFY/2ztC5/hfLyi7izV/EWbtC8+CXaN38TYZaY7N8iPHh/Kh/UDfIkQKYh/u6tqf68SEnHBwSHt4kHWwjdwizPEvUe0bv7HwFJaeHmR+cETxueqh237/u8+uqrALzyyivs7Oyws7MDwMrKCisrKx+9fvqev9h7BkdP2HzrjyjyhGq1SrVWY/fkawBWNYNEVLm/efSxXXP3YItweMDCi/8cFfWJB1sgC7z6Kl13jbo95viNf0UWDU+S3qYxUYkCmWdIb4ahMcPWwRMsq8mwMCl5VXJ/QCeMmbcaeCTYjkviTwP2TdNGFQVCtylV27jhmOMk4TBKydEpjCZ3h8dcX5zhcqNJbxLQdCoMtl5lceUGM1e+SnB0B9V7RJoESHTysMezF84x3Btz2N3Fap7H0mGl6tINI3IlEGaZJPBZqs0ya+h09kfUhUU0+pAVClZvfo2H+5s8CgpK1Sq6YVMv11lbnaORd1FPfh+RBQze+x3q65+hvHCD1O+w4LoYRUymJOloh5n2RfJmm4Nh72Rmrk1n3JqBZjgMJ13Onr3KeDDirBnR23gPKQuKPEbKDENKstE2a401NuLhlAA1DQOBLjNUPKJcniXyj0E3cEwLR2hcadXJju6QZRlmeYbRYRcpbLz2ebIsQDcchNDINW262xXTJ8IsGvKwV7C6cBO6OwjDnGqppY5uu0x23mHhpd8m7u8w2ryDUAXJcBvDm8GwShR5SjI+YrjzDkIzKDdWKNIAQzdQeQbaiYlHE+RRD9AosmlSoZQjimSCUZrHrK5Q5Dn+4W2M6gp7fhU/CD62e/mVV17hJ+GpIu5T/PUjHW5T5MlPfV3mMZm/j+OUiOP453hlfwbd0Gid/wzR/i3GWz+cdiZqFpz/B7y/tcWnWxIZ9k9mjdPHe9G+xF4YEB9tce3cC2yNIsIwwKvV+WCY8Nm5S4Thm8gs5iCYYArJmfYc5dkLqMSnZJlkwYR6c5mgKLh9tE1heCRKZ23tBm9NJG93+7zfG/LfXznLqtekvnCN6PE32bn7x5QqbaqzF6ksPYemmygliSZd8o2v82zrOd7NZxioHEMT7I4Slso2A19CucpcJeTlhQaDzbfIhwMsR2DkizjePNHmN1jqPmKuvAxWFafiYSYdwkffJp0cIJAIw0blAcHhB8w++1vEoz0Yb3J+7jwfbL+P4TbIxvvMGCblZo1JIRgmGYUC06lh5AFz5TKrdsJIH2AkAUkSIYv0ZKRiUaQ+x09e5/yzq/jNOfbjqc5ZUwVanqP8A+rtKzjpSdZ15rNQrXHRGLHf2abcXCY26wRph4IUM4uRuk1t9gIlGUMekiYjkjRmHPqYTgU/TSlKTeDEzSglUkqs6gxGqUKRRRTZENOpkoz3ifqb0H+CZroUUpHlGYZdpjJzjrhzD92pkPodzPLs1Igk86mUVLemDkxn2u0phEDTdGQeTZ8crDJ50GW8/Qa1lS/jBx/LbfEzIZT6CV7PjwkvvPCCeuuttz7uy/hbhf79rxMPNn/me7z2Rerrn/v5XNBPQNR/Qv/eHzLZeQPMMuXVl9CEznvpDH5WcFXbR25/l3S0h5IFxuxltoKAIPYRQuPylS9wV61y5/AYWZpnP4YXgWkvAAAgAElEQVSvrtXRD18n6z9BpROQObqms9RoIsIOLgmJFDSvfJU3dx7QHx0jrCrzK8+yX77Av986RinFhbpHlmd8fmmBX59z2fzT/5PRwYcoQBcCU5sqLAwh0DQopMKZuYT3/L/kcQDf7pk8HKZ8YrbCYBLywnyFc8aQB+9+E0sliCDhbKsMnQFLz36S0d4fE012KeIRQmiU5y5BnuLv30IwJRW3tU4xc42xs8RAnyEXJsLfY3n1Gjv9TQ6igOPOAwy3hRCQR0NwGujeDCBR4wOemZ3nYnZEOvcSRxuv0jl8RJGF6Lo1bc45CWLyqvMsXf8qtztjNg930CnQswCFojR/g2J8CHnMcrPJc+UUY/Pb7Mg69tIzPEg8OmGMVp6lUmmyUq8yZxbER3eRWYAQxrT8wW3yZOxzNAr48kod7c5/QmYJSkl0u4rMLYyyhVN1QXMRmiCZ7BDsvUse9RGGDUYJ3a3hlmcoogHZ5BClJEUaYlZmyYI+KIlZblM78wpZ0CPqPvooXAyYOjnho5hXqzJP++ZvUpq/9nHcFj/CTzwZPd1x/y2H9mOa1L/Ke/4mkQx3SUa76HaN8sqLU9XBwgscHWU0yk384Q4lp042PsIpN5hgEGYxpUob067h5wV2qYRlTkiEhtJ1vrUf8E8vfJZCVxztfTBtY5eS3eGQleYiFc9mYelZdqMU07BZPfMJjPZV3gl0vr3dxdUFKxWXokjpTgY87htMXI/5K19Gkznj46nRRwI6ikwqkkxiunXKs9fYfOt3uPiJf8KTvMalZoVrzRIP9iQfbByhzTlUanOMuhuUTIsklzTLDTQBxWiApkms5hp2ZZ50tIMqMpzWOZL+Jt75L7LrXube4T690X2s8gCrsoB/cJ/bh4csXPo8q/M6RjJi5/AhdmUeu7JAkfqYKiXrP+Lm/Dku5Meo8S7NuWtEts5REWNYpf+MtAEi/5ij+3/CJ1Zv8Ez7Go+7PTqDDoUsKDs2LXeO9bJBafyQ7MM/QuomzbOvcOi02d+5A5rJlUsvsSpGBDvfYffoMUnYR8D0YBNBqdrm7OJ1Lp27iZApaHPkcReQFFmGVVbkSZ94XKJ+9jPIPEE3DLLJIbpdRtNNzNIMSmZkk6Op3NGuko730S1vmv6oJLpVwqrMI3SbIpmgZPoT1+M05rUEQiPqPsRpraObzs/jVvgL45S4/5bDOWnh/sg5919AaCZ2bfXnfFV/hiwcEPW2AX3aZtLfIjj8AKGXGR1JMq9CzVRUS210c5vCqhHkBWsza2hSkkZ9xKHP2rVrPNQFdrmB6StKrsUfdOALq59jpXWO8PgBeeKjaTq11WuUXZv/n703idEkPe/8fm/sEd++5Zf7UvvS1Xuzu8nm1qQFakTJA4wgz8CAMdZBAxgYzNU++O7rXAcD2AcN4IMMjKSRuImiRLKb7L26u6q6qrIq9/Xbt9iX14fIbpImJdsjtlgU639JRGYAERlfxPM98bz/JSgscOAfoKy+yH4o2RklnPgBF6s2Khkjb8YwCBAo1DV4sPsBC401imufpbRwnbB7F3d8TJSmqGaJRvMKemWB/d3b6HaZzmzKB12LtaLJ217EuD/lYOjS8zK+uP4sy/UFZGeLzDuFJCUJRpi1izRWXwRRI4skdtUHBsTuXZyNV7mTNHh/60EevaaoZFmMJJdum7VzDIddJjOb585/hfnyHPf3byMnJ1SaG2y011hsNTBH94mOP8CoreD271HGY63RpO8nzGI/ny2fGWgJQKQ+3sm7NG2TF8wqfl0hE4JSW0NuvUm884BoeopWXsScu4S59izf+tH3ybKUKxdfYDnY5njzddLIQ0r5iWFTRt7w+pMO3vR7rAYD5m+8yqhhnfGpPaLZPl6/C4pOYe4qs/07BMNjWk9+FbO8jMyifHH7+ANUs5ibcikqaAZCNRCqSZaGqGYJp3WRLI0xK4sE/S3MygppOCMJxz9j9Zp4AzSriqIapLGPTAJ4XLgf4x8TeqGF07yA1733C/4qsFuX0Iu/GspTGkmCgUs06VNef5lodsrg/l+h2hWq7atcKZqkWcZSvcjk4fcotC6QKhrNwMWbdFALc5SbFxCKgpGMmK/WGCBZqZb4aDyhHwQUlDL2yKNmrmM7KoZmEOsGd2/9GfHKy7z34B2EUDFLbdrLLzNLEk4nI6bhT9YFhBAYmsk0dPEPPmKhtUoy2aVRvwDN69hAEkd0+4e4B3cpz19B1i6xc3rEk60NfD/iaBpQPHstT9D4zv0+F+dbvNBeZKMuMWdTjMoSsXfM4JaHP84FK2k4Q3UsyitfRW0t0j94H81pkfgDpJRoRgmtvIReWKLj+7gzH0RAxz/mD649x6VChWRygOFYWLNdTt/9T/hkaIaFXppHV3RCUhx/n6JZJ7TrzBIFqTuUqksY5QV03UDJIpLhJlnQQ08ikskpdnWO6fgAvTiHvfQUenmeaNohOrpJrToHRomNosreW3+ec6nPOnpF1c+k+/JsUiFREJjeAd6dP6V28VV6d7+B390iGB8BElU10a0KWZoR9HcYb7+NosszSXyG1TiHTCOSYJpzs9MYVB29OIdqOAhVz3n/zcuMd9/E7dxBNRyMYhvLqeeccG8AMs1n/aqGojvk+ZiPzjj5Yzwu3P/EoeoWxeUXUHQbv7/1iTOaalVwmhdw5q79SihPXpgyGPuUTInVXkN36oTDXZZf/jfohTpJ6DE3ucNgPMKdVmnMraOmC8S9e0jVobb4NFFvm7DzUc4O8UZ8+bl/zWu9lNHUBzJUReMgklwur7J9eBNTU/j8+jL9O/+ZgqoQnFl8SjK0Qgs38LBUBT9JkB/PPqVECEGAgqpoTEanDLyIp89dQxKS9e8zmgxJpIJRaFFde5Hjqcfh7l2unn+SRFP59u6QFxbKRH6EoplnYQUJbhiz05GcTzX0dI7uVspka4Rmq6iaThbNcs8Rz2dyKjk+7XPx3BJJyaeTBHmsV+Ma+7HFcDoCoYGwQaZ4fsZrh0NWpMKCXsOaHePHPomqIlSNSNdJ4hlR7w4r618i6G5C4mOaNoXVZ/CcJTYHLge7p2RCQ2o2zcJlrrVvUI2OKbciFLOIWl36xGZ1evIRon4OKQyuX34ZNzMYbX0HlHxurtlV0mCKIpSzrjsDmYuNKoUSetBn3Hkfs30NqZkYxTk0u4bf3wKZYtU3GO3eIQNmR3eZe/q3CEab+P2HkKXYzYsYpQVkluY+NlKiOQ2CwUP83gPM8hJmbYXBR3+JTCPimUs866IaBaz6BkZpnnh2isyyXHGqWwjxE6fARwmPC/dvADSzQHn1xVxleGaooxiFX5pVZewPiWenxG4fIRT0Yhu90EKzSj+/b5qxN5rQG/Vp6wkyGxL2NxlvfgdFNXA7HxFMO+i1DVorn+HwcJP7x7dZm1+jaqi0zn8e9eADTt/9kzzdu9DAWnqabOlZTvu7PNW+SmxoBEJguQFxOCUpNHjl6S+xYfiEB68z1S0sQqqGhWpVMCvLBMIkRWE2G3OuWmRn7BIkOb9d00weTD1eap1j3D+loYbs799inChcnl/BKaxhaDqzKObk5AGGgLajkxQW+dP7J2RSslKyee14gnI2XzV0jZIC62WHooDeLR9Fq2EUqyRRP485iz2EoiOzlESxGA2n+Hctrj17nXGi4Ftt9n2VXhiSJgoii7E0BV0C0Zh7nZDVc4u80c14ce4p5jnF33SJQ59y8xKno31iGVBdfpnC2pfp9o8R8y/w3ihhe2cfVUgMRUNVVcbTKYf9Ux6cWqxWS3zpynNok03s1RdQVJ1IKoSBi4uGpxjE8ZAFo8BbJ1uoiolTKAFKLo8XKorIPUXIEkp2kQUzI+nvIDLJbO9NnMUbdE8/QommOM3zACT+jDRyyaQkjTzGO+9Sv/JZZJoy2X2d2BvknHNV5+N0YPf0FopqYDfOUV7/PIO7f0ni9RGalfuspxFp5OJ1PsJuXkQvzJEGExQtH40YpTaqWfy5+/hXjceF+zcIul2Dn04Q+QdCpgle7z6z4/dJg5/2OBZoTp3yygtYtbVPfhulGTvdDuODD1HcLsWFNtPTW8gkxCjO5QrK49t4sx7K+BglmvLE5S/yznvfYRjEtKpzxP0d5PgAzbCwFq7hb3yRm5MJe5u36M8mfO5pnQf9ATcWLlJZaFLRTUBFFXBnLInLL2OXX6BRsSibGvOJRc93c/MjRWPgzXBin/OVKkGWR40pqkGYxMy1L5Ic32Y07THLdDRVY//gI7qznCpXK9WZximaZuJUF3lvouMlAVfrRXrTmHKhSMsRKNKkbBusGxrXVZPoNEKGJpIAszGHntpkSRUQZ7mKCZMsF1OFfozfUanWltgcSkZJgu9NzyTfMUEMmqpTMpuMghFKFjEZHvKOvsYr7RZGeREx65BpJsHUZeP673MszqM7Es3c4PuHI3b7vTPZjkRTNRzLxDJ0MgleFDBUGrzWSfhcfQWn+ybTNGMaBCimjdm6ii9VPDRq/bts1Cp0Zh7j0KPkVDGdBlkwQlF1NKFStcvUlZCkewtFKHnS++H7tC9+hUxKECrR9JjFF/8N/bvfQyh5diVCI56dMt75Ac1r/y16sUns9omnJ2RxiFlbYXb4HkZpntrlrxG7XQb3vkkajM/m5wlC1XLV5ZmIyO89oDB/HaM8n49XFA27eeGRC1GAx4X7Mf4B8PsPmOz+OH8t/RlIEq/PaOv71C68mkdJAYPJkMHm9xkd3ePFV/4Fs61vEY0PCSfHqEZuy6nKiGp1gSRN8Dp30ItNnrz2WabTHoZdZXz3O+h2ier5L+Itv8hWv4NExTQcFDFDoLA7OmVvOmSjvsjV9mW+t3PA3nBA0ymw6FhUdYXN0Yj1qsO1lSf5zt42D4ce1+2MernJLIrpehG2Ci1Lx1Ak1+sNtoYuRu0C49N9hBKx2p5npzslzfKFreFshG1XSFWD2uoLvDc0udzS+dJCjb4XY9o6uxMfWzdwDAvFtog0gzAsoDRnpO6AuDNCqlOi6QnIFL3QxCwv4Zg2ihiSCoXOocvGygp/MzjCDdxPKG1C0fLuPE0YhxkVq06mmER+j+Mjn17rRZbOf5XB3o84GR+wcul32ROXefP+Ngv1Jo3WMv14jKJqZGkCCBAq4yBBVwS1QgOjUEHVbTonm/ywH/FCs8720dukaUQmU+ThbUqlOTYuvUoYjpiGfdqlKkuiyDQGQy1imhqOKrCETzZ6QHz2vwqjCFkGSQRZQpZG6E6T6tIN/MEOilmGsAdCQS82Kcy1EJogcjvodp3i/JMIVUMCMgmx6ueIRnsEgx2iyRHx5OiTYGihGIBAqPqZcliAlMRun8LCDYSqYxTbaM6jKXn/tS7csdvF7z0kDkaYlWWs2jraI/ha808RSThjdnLrFxTtnyCLPdzT2xjFNikKyfSYsiZZffIV0uF9pntvksUeWRKjnYkqZBKSKmP0Ygu1OMeot49Tu8okjGklEWHoIda/wGzpc3zv4JiRZ5BhslBf4MVFhapdxFEVSqbORn2NP3t4zDCIyRB0PZdMwtgpUNcLnBwe80qxzbPza0zSA7phhmMa7M98pARdUagKwXP1IoU44c9vfcgTi4tcufJl4t5d1HDMUslGVRRGfk6jKzhlWhe/zNtukTlL8tnzDXpext2RxyxOqVo6ZgbHWyO23ZR/+ewySjQjHOySuCFWWUcRSu51Es1IvCFpOEWpX2KxMc/exCOVRUhNvMAjTUOEUEFREOTzaynzMUSQxChGAUV3SLOE7ZHH6upnyKYH2KRMik/y/sNj/DijVq7zNzunqFqLWrtNFowhDdA1I+er21UMq4gqJMf7H+TJQE6BsbmQS+Snx3kBFAoDt4utWywZFhPd4nC8j2OUKRlFlGBC07JIOgdgChTFQD3rgEmTvICrOqqqU1x8hvLikwQnt/GOb9J84veRyg6F+SfQdEE02SaLE8L+NkZlBRQFxa4T9DYZb32fLHbxTj5AMas0r/8uiXuKP9iFLMs9TGSCahTyDlymCETuYZ5lKLpDafUzjxwN8GP82hbu2BswfPA9En8IQDjcJZ51qWx87pH1F/inhNjtf3Lt/z5Ek2Nif0QUBXjbf4vq9XAWlune/Gtib4DTuoxmV0FmGMU5hFDJ0og09lBUkyCYYEUe1doSTn2R+Mv/C2/2Ao4OJ+yOPNzAZRZHbPYkBcPgt69e5SvnbjAIQn58PMRLUhIp0TWdLI0o2TYH7gRXN1ixSrxzMuG5xSafX1jnzc4pWepxuV7maOKxVCrz7Nw8Rjhjc3+HVMKdkw7FlSVevvpqzrHu73GhYqAXW1BeY5jqTDOV31qr4ocux1OPmx2XiqZTjRTGxzFDP184K5lQtRI2D3YwlZRCxWCWzJBJSumMkac5dYSqk8UuurBpVpoc+5IgTlEVBaHoOZUtS0FRzih8KkIorDeq9GIV2X6BLE0ZYhPrdUTrKguLL/ODXTen9VkFfKnSm3kgYexrrLXmKWqCyJ8QhAGTYY+yeoROQq1cRyoGaeLyUafPhl1h0n8AgFAkWZbge30CWaYmMjyzzDSaIVUdEXqUNB1Tgj8NMAsamlPLjb/iIHeutCpohSaKUaC7+w5q2AeZojkVCo0m460fE02PkMkEs7KI17lHoT3F791HtauUFp4inh4jFBWztk44PmJ4/zvULn4VxSjhnnyYX68sI/044T2VoKioZhHVLFFZ/xxGce5Tfor+6/FrW7ijydHPFY5guEOhfQ2j1P4VndVvDrJo9jPc179zvyQkSwKm299DTHfRdYfEH6EYRUrLzxGO9vA6H2HVNwiHOwjVQDXL6HaNNPKp2GXmmsuM+wcMo5S/+vANhmHETC/jqBa1Sotj12PkTXCjmO9sPuR3rz/BohnzXw73sDSLNEtQBflPJWeNJBIu1eaZRII/uX/KV1ZqpLHNk60mLSPF0jROphH3ey6pN0RXFC63FzlftallA26++Q200gKpUSUOJNIbEx6+RZomrC2e48Cs4GcK39rqECYBq9UGQjFJhQABaRyyvmwTzjoousRPMnRFEMQhaZqg2Q4WOadYqDpaoUXojbArZQQaQpWESXwm49bOAm9lvq05xChsVAq8ftBDpAHHox4Vy+KJdhOt9AKmZTM93MWu1XBEzDDK0DQdy3RYLltE40P2pkOyLPcAdwyNCJ8o8VHdLkJ3KDXWmMVjFKv6sbcrnFlbjQa7rF37GmH3AQXVITXKBOEYS7cYpT7L9Qbh8QFpCFrBIZoeABJF0XCWn2W8+ybZ4CGG3SCVGeW1l5nu/Qj39CMSb4RqmKBXUa0aQrMRqkGWRkzufYtockTl3OcZb/0tQjOxG+cIRgf0b/8ZlQuvUlh4Er/zEV73fr6GIDN0p4mz8AR242LeQDzizd+vbeHOkp/31ZBZgvw7hCaP8cvF/1eKlObUCQbbuEc38U5u0bz+e2RJitM8T+fm/0kajEBmyGQRRbPIYo8kCfJIqto6eqFJMuuQjR6wpy3TmwxQ7AppGuH7EyJ/yFx9AylLjPwJYRLz4dEpn9nYQCCJEh9T03OKl6KjKCqKEGRpQozGsRsQpRmjKOFwEnKnM2atpFOVM+pGxsVag/Nr5/F6D6mpAbt7b3IaTIjiGHfSx0sHpFKQCUGSSWxdZ37+HO+OfGZSZeZPMAyLaZqx5/aZq9q06ip6ZnNuPqU3eIAzv0R3t8c01DA1Az9N8KIIyyrl/n5pRJpEGJpBFAxZaq1ymgbEkrOFM5nf91Ii9AJBKrnRtPGikMOpx2oxT0A3FMHAnfHucY8bi2ukSo1EpERqSixUpJ4yV1CY9Xbw/Z816ChoEHs+igBNCJJwhtvbZG7xMpY6O7NjzX2/xdm8eOQOKTgNqhKm0zG2UQIhiJMIDAW7VCD1M9IgBNQz00aJs/Ich+/8MVkcUCjOUVx+jrBzO6cFChUpI2LPxWldwSjNEc96+aw6nGKU2qTBhOH971C//Ft0P/gTrPo5nLnLpMGYye5rCM3Crp+j+cQ/RzXLOWtEqETjA2ZH7+K0ruC0r/6Sn5hfLn5tC3cuXdWR6U9mrJpdO/MkfoxPG5pdzwvtL/gC/WkY5QXcw5u4J7dJgwmqUcJuruMejXMZdqGFUVlCsyropXkSt0s42ifxhwhFQTUKzDofEVpzbA/GKLqdR0mleWBBliXMBju0W5eYhDNAcDwdMwxSnm/PcX8wIhEasygBVUemCS3LRkqJH8eMoxRdVdBUDUNTyaRke+xRtx0CTWc6DImzMe1Zl5PJDguOzXFmE4UuIktQhEGSBChC0LZtrqxf4ngaYqUp751MSCMPp1ih5wXMQh+EIFAi6lpCf9Cjf3yHJ5dXyHYkfhJTsE0IPZI0IRE2hmaRSUmWBESpgqVatFc17kqftWqVTGaEScrI84hVmyiDp1pF1ksG3946ysMNABBcbNbx45SKZdHzE479iHZRoTMJKJVtLEWQzTp4vvsTgwwhUIWCQkYmUxSh5EVakCej+30ay/Mc6BZJEqIqGppiINOYztEtLp//LPHJRyiJR6ZqJJGH7dTyeDCjj4xS0jAPfkZGlC9+iTD0id1cFq+qKmahRm/vDfTSfN6cJSFWfePMxraHqlvEsw7u4Xvo5QXMyhLBcJdguIfdfoJwsJW7/zm1M5aTII1dZkc3SWMPgZJ7michMotRzdInIcuPKh7ts/t7YBTnKa++iHtymywJ0KwKpeXn0R4X7n8U6E4ds7KMfzbb/Dv3K7Rwu/dIgzFkMXpxjnhyTBKMmXv6X+Gd3iH2+oTjo7wbNorYc1cAgcwyzNoao53XyVavMTg9QbNrJLGPrduEScSZLygynFAvNpiEPlI1OHF9Im+II2MWqw001cTzZwiZoegGx9MxIy1EVwV9P6Ri6lQdm54bkGaCXpBw6idUTANPs0grz9BEZebuYsiQS+02U88lUizCWMfRJFZxjpExz/fvvMON8zfwohjdrpNlKVGSR32ZIkWqFooakyYRM3fMJDuhud6gu9M/u2oCoagkEnTyLlZRFAzdwq7blNvQnprsTgwOZwGOZnJ1vsRc0aaowqnr8a2tY8JUUrXyMUqtWONKvci9/R0sVcMuVBm5AU3HJswkT1UcGpaEqYYstgkyOBpPmHgeQiH3L5GgKgJFgKIoJFnKkqNhyYjFxRtEbg8/mDGbDQCJ7w3ZObzNtSuv0vnwm58wYJQ0Aj/AsCqQzQgHAYpmUVj7PM7Gy9z77v9GlqQUCxU0vYTfvQ+KhmbXiGan2I3zKLpNMNhBZgml5edyOX0WEY32UHQH3akRjPapXvgy3untnG3jjxFCPQsT+TjiTEeza2RJkI+cVB2zuvLIN4C/toVbqBqF9nXMygpZEqGahZ8J+XyMTxdC1SguPUMazXLq2s/vgdO8mHsvzzqQxYDEKM4z2X8Du76Rm/L3NgmH+0gZI4SK3bqMUWpjNS5gVZbx+lu5Q5xugaIijNzCUwEUzcyTVwSEwRSrXKMTpUSajaVKMpnQd4fMF8rowQElxWCWqhStMkXLJiNPG14p2yRpgoLgfKPMydRlHMYoSIIkJcky3uzD5+eeZb29wsPN1zkYDtioWCgKTItzpIUFepnF2/c3ieMYRTMxnDoT10O1TIQAxzDRFQU/8EjLRXS7iqKa3N+7yfX1zzAnmoiuj6oZOaUtV6sghYLUi+itCnIt4fXjbW57FperDhtlE1VAfvagCMl7J0PCs6T3uaJD5A54smYw6e9z3DtGVRU+u3QBhZgs0fnqeokNc8h0eIvOYB8k6KbN08uX6GY17vZnJMEYU1NQFQizBCkllmnS1CP2H77G1F5gEJ7QtCq0dIve6Igsyxj2t+mGAdVrX8Pu7zAZ7FFXMtLuR0jdxmycw6ieo3ThRTLp0L3zA2zDIVM10B204hyjB9/BKC18soidhFOC4V6+LQSxP8hVjpqFTAJit4PuNHJXxDRBt6tEk2MU3Sb7xOI4/+wV3T4LgshACOz6uVw89oiz035tC/fH0Kzyr/oUfmOhO3Uq575EMNjC7z8ki/K5qGZXsFtXsKqrRLNTVKvExx1OJhOc9jVGm99msvM65bWXaT//P5CGM8zqCtHkmHBySBp+wOzofRTNpLr2Ill1hdKJzzjwSdQ8ALek5v4hSZahCnBMBxlrjBKoWhoNp8RqolAkIRptkUUhBbOMks1TrC7TT1SOJwM+t7BMz4u43R0xXzCp6pKWZeezcJkRhzNaxRJ3hh5ZwSSpP8fKssA3DBbqLWqGw5vHI+4c7GKU5jH1AqEwKOop/SyPKyuZJQxNI0EhUgQHXkbanCdRHZIs4fbuW1xefoLltXW6Oyaznoup66hJiLN0Dtoqnuhz6k7Z16+z2+sx9hwSobE7mpBpBdw45XzF5svrbb7x8ARdMygQsVTTmVcD7h+fECQxMpaEwYQX16uclz3U/Q858YaU1IBRr0uanXlzHNynUp3jC2vPcCQXuL07JkzT3F5WplyfXyTtvEU47VGsXWQ39JkEM+YLFVq1ZTqDfYSiEkrJa/fepDV3gSvXv86CJhG9Kwgk9uKTKMV1ZqcdDr77f2A2VGTio2QJWQiqbiKzBKO8QDjaJxxug6LnzLGznMtwuItVP4dmVYlnp6TBBKu6Ruz1c3aSUURoJqrukMbuT9ZnPvZPSUJQ1LzrX7iBUWj94z9M/z/xa1+4H+NXC92uoC89g928mNtnQk6pOnv7EZpNYf5J3MN3820JZAnj7R9iFBogaqj6VayaxXj7b0mjCWk4IY2G+SxVNQgGu+jzp3z+/It84+5DQMeN82DfilNhFseEmSDLJJauUTEUarZkY2ONN3cPCDyPMIny+WwSkrldZDijPneVFxaarBRU3uv5nKtYzJKMIIWxO0QRCmXLoO0YBONDXl5fQUQR740m3NzLcxT90yJrxZAvrS2w1FxgszeiM+wwnY54uj3HNAhpFQsIw/A39psAACAASURBVOGDzphJkhGmKbamsp+VWV66wFHngCD2GPTvEgxuYxSbtBbWaDoaMpCM4oc83H6POE1Z/swf8nCzj0x8ppGJo2VcqZcYZSYHU5+HY4+lksUz7QYLjsaaFTHodnnQ6TEK40+k4FHo8sVaxDs//h4FIqqWhp7NWKuV2RtO89QcJJPRKZH/16xf+yL+/DIPj3dRsoxriytsyEM6J7cQVgkVcnMmoXLqTdGKVaqlJsKucTgd4UUuR6MOq61VDnfvogYDyv4R0fCAwvV/ThYeUbt8A79/H1XVCSOfOPFIsxTFKKFaZaKjm+SiIJGHSUhJFrkINR8HqXY1t6XNEoLhDlZ1BRC5KjeakQSjn+q484XzNPYQioZRXKC8+hns1mX0szCHRxmPC/dj/FKgmUX4Ba+XqlWmsHADu3kJv3efxB/idz+isPAchbmv4w0zUCxO3/4mXucQJGiOjdVcR1HzMYyi6gx2fkSr0OLS4irfephTx6qGDmlCQUCl0mKqFyhnIa8utaiIAdunP+Z6+zodt8jetE0YRqRS4kUhthBcUUastFd4vTPjdBSgq4KGplAuOBgVm8gfEwVD0nGIkJKir9I/uMkrC5cpX32JKSaTzCAOZnzjnTeI4oCN9iLXWnUapSINx8GNUk46R8gspmiaWKbKesVhqWjiJxnMP89ccYW6nlELj9k/vMe4vwPeHmrcITNKbE9jEqExt/wU3ZlL3RSEEcT+AL84h+/OsByN9bKJptioQuH3Lrc42rvNB7fvEaMxS3PLAUUoCEWwZkkGd79DuwCuL4i9kEzzsGTGxWaDjhsy8n2yTCJkyv5H3+fGM/+MNJlnrWjSCrYY3vsumlDRzRKxzHIKXZaSpQkn7oQr9TZ66xK3Dx6iqTpfuPYKK6nHzvAYshhLNYm2X6d09Wv0t19HFzq1S89x/MFd4iRGLzRy0yijiN+9h9O8iNfb/ETooxoFzFL7bDatoTsNVN0mi30it0cw3KN66bfQnTqz4w9ynx6Rq0E1u5oLbsIZhYWnKK9+Bqt+DrO88I/+7PzX4HHhfoxPFZpuoxebVC5+BdUqk8YeWu0SNL7G+wcjQktj1T9gLFKqy0sosxnxcIx7GFI530YxJnnkliII9l7n2ef+iDeOB4x9HzfJEFqeMm47dWQiuVq2CWcjdmZd/mbrPc43DvjtjS9y8dw8nbFHlAl0TaEqIpLO65jaNZrmJcLxiESTeGlIXyg06vOUNQ2EoGAYPLvUwj15H7NQJTZqPJwmbA/73Hcz1ooOw/GINEsZuA+o6CrnmxW+2JA8VVwmDGtME3h1rUGQKbx1MuaHh2PCLKNtq1yyFArxkLZT4cLGK2j929STLobZZKqUiCan1JurBPY87999A8tusFFaIRAGw9gnMwskKMzilLIucaOI/V6PzeNjJpn+yZw+laAgWK01yAZbDCZj2gWTRr3IeBKiqhWmJw/QfJeFYoXlVpUgk2TkDn4N/4DfWlng9KP/Qq/7gExmZFlErbpKN/BQFYNYxigKJFmG1b5OZDe5umJzfW4FMxwxPLxFrWCg6CWcxjpquUHij7GXnmDy/l9gVAo0r36NcNbHaV1ilkpS1SaZnpLFHkZxjjRysWprZElAMNoji/2zReCExOujWRWMYivneAsVs36Ouaf+O/zBFrHbRVH0TxLh7fZ1nOYFYq/PZPd1hKpi18/9qh+b/1d8qoVbCFEF/iPwBPmQ8w+llD/6NI/5GI8WhBCoRhm7fp7YH6MtPM8HnZC33t7Ccz2eu1jneOc2k6FLVxE0yw6NtkHS6eN1PIpLFxgP90kVgyjySHu3+e+vX+Fef8qd3pggyVhqrmNaNk/Z4BAzTTNqhRW+fuVznA5vc3L6Fk0vwdm9T9GwiNKMzrSHoqhYwJPXbxCszXF/OKXv5QHCvYmHq6dcnlvk5YUKBSXm7ellDryU/W2XhapBIkyCLMaXGsVChdlsSN1Ukf6IdbtM7853cVob3Gg+TTezmcUBPzoJGAQJpiKxVIGpqWhOA5kY7Lk9RoHLV5ZvEL//HwnCCfrFf8ZS5SITCtzcfYjMUlK/B0EuZlkpr6BXakihMsosdkYzZlHIwTjGTWEUhGhKPgvWNR2hKFyfn8Pf/zFStSBLYPSQulXBdirIoEwU+kh/iBpPaFoGsyggTmMGm/ssvvSHWOtfQll4gTQOUOIpheYG9z74BiVFAaMAqsHCyjMkretcMgXe4EPCO28xnA4Z9A4BCVIytYrML17EUASF5gZp+wrB+JByY4NJ/5g0CDjYf51zCxcZ73yXeNahtPIiMo0JBjv51ASBZuZJ9Fk4Rag6aTglCSaU117Kk2xkxuzkQ+zGeazaOkJRkGlMmvgoikoa+8RuF4DJ3htoVhXdebTHJZ92x/3vgW9KKX9fCGEAzqd8vMd4JKGg2U1q136PD8YJN3ddfD9EKCqWrjIJfYSATEo6Yw9ZLdBs1EhnKSkNlIrKeHBAFoS43UNOuzMKJPzOymUyZx7hNBm6LrfvvYXnuShCoErBpaUF1qqXGR+9y/ziC6RbH+APBgjDwNB0KsUmVlZj0O2TDie83Gqi2E1C1SQJfCq2gjvt8tbt25xfvcytUULfjxGaiWEV6LshjggYjLos1+ZpkRBPT2iUShTDHqP+PoaqYupVFtde4fsHQxa1lFbZQArjTM2ZEkQBiYRqsYmpSt7uT/jKS/8OY/yAUekSNzfv0z+9idCM3J87DjFKNYziHDL1iY7fQSg6VvNJXG+GY9pIBKqioesmTqGK7jRwE4miqlSLRfY8F0NRqRUdeqMd4tEpTqFKrVhGCXuILEMNU6JYIZQCq7yEsOqMIsEPxw5+AAYmG4vPoNTnuPLKFVK/ny9iKCp70ymrs1NGD95CjrdJhMl43M+ZQGfc/zj2cTv3ieKIyoUvYy2cZ3DrXYZbr1G5/DXubr7F1B3DwhpWbZ3EH6BoFsGsk9MTszSfdytmLvxRVIQQSJFAmmJVV+nd/s/MPfOvUFSD0cO/yV0J7SooGuXl5zEqiwTD3U/u1DSYEE6Of3MLtxCiDHwB+NcAUsoI+MUhb4/xTxqKbqMaPieTCbf2A9K4+YmdZsaZCvOnrDN7E596u06SQH+QcGIqqPYyc5agUFsksM7hximbWQU7ddjcOmDFloxGhwiZ+z0LoXFzc5M/eOXzLDZsUkVj7fl/Qe/299BRsMw6vmtysj2l1ooZuR6Hgy0aixsoho6pJRwNTxiPjnE0jaOjB3xp7Qn+en+E1ItEccS4v4dulhBmlWFmsFZfQtUyXmoZeLf+FCkzojSltXSZv3pwC2/QwXIaJJkENHyp0Kq1sWXIrHufTLOYZgmdyTF3lQss9d/GXSwQKA6aVSb2hyiahVlsYxTnCIY7xMEEhMhdBL1jrrQWOZh4lHWNmW5Tmlug44VMhlNSKSiXW4z9kFkiuVx3mGWC4sINkmCMDMfEUqCYZdzBLoqiUm2do1Y9xyxV8ZOUuqpzeWWNNA3RdJs7o4Rv3e2RScl8oYqSeTSMhC/Oteh89Jc4Opj1i4xPt3IVKKCoOlkSAQpCd0iSkP7DH1BZepLS8lMEoUeUxszcMSLx8Tu3aF75bfz+NtODt0iDcV78sxRx5pudBnm3rVkVUFQq668QuV2i6Qnj7dcoLj2DTCNUs4zduoQzdwmZZfi9zZ+zbgi697HrG6jGo9tnfpod9zmgC/zvQoingHeAfyel/BktrRDij4A/Alhd/dVlHz7Gpweh6sRuj91xgu97yKyGUWwRTk4YuBn1SoPAPfPzztXSDGIFx1DJMoGqqIwimPka58uX+Otuge3RjFEwYL3k8uXVJjIYIhSdJJwCAlU1mG+vkfUO6L/1Q0pzSxSf+zr2lSXC47tMD/YwVJVGSUUdn3Bl4zx3h9AZG9QcydpGlfNVcFYXEGS58nE25tXlCv1YcDzx0HQb9CKDMKFmKrT0hCcublAJO0wXLhH7ExYuvsgwyTidTIjQiHyXREikBFWo6DSYndwi8IbY5UVUck7xg26P5cY5ylEHMxTIygriTKlqludxOx8hZfKJKpIsJZydUNNtWguLzJUEH/Q89gcjUhQkCk6xjpcJLNNkuWixO3Lp+QEblSIVo0ioqEiRUSzqVK0yWHUGosjhOKLvB6QyY8OVvJMkSMWgYStomkonipkGEXvTGeeqJRxd4eHubUQiKBsGUiZ0Modm8yJyckAchQglzZWxdpU4jcgSn+7eO8xvfIbRwx8iginIhKIuMBWQUlJaeR6/d580nJ2ZaukIRUVmGcgEmeaSztrFr+ZGV72H2I0LZLGXWwuvvoRAEk5P6d+5j1lZwm5cJMsiorOINMgXfdNw8htbuDXgWeDfSinfEEL8e+B/Bv7Xn95JSvkfgP8A8Pzzzz964W6P8Q9CHExI3B5u7wGHA5MkiMkiB6HWMcsLHI89Vpav0jvaBiQCBcUoMEvA0VXSTDIKY/qhpFaqsBuXmCYpRdPATTL2phGKqqFkuXdzErkIRUMxC1xstxCdDzALBtF4xMM3/oLm2svADepPPYWwDMIsJckULhdqnI7HXF+VzDkj+kd36Iw7OEqCJTKq5TnmautoRpFn6wb+6jneH8T0/BBVCJ6tqUzv/xUP7t5GZgmLy9coLZ0nTiN6scc0DAkjH4SCbZpkQgVVQ00jZDxDEblCEiHQFIWxO4HVc6h732W1+grv7d/HLLUpti4TDndQNAMwkLpAaDaK7jByJ2jJAz6/0OZ8vcHI87E1FTdOaJRrrNZr1CyVthHStUvgB6hCsD2ecb5WAnS2vYiNeoNiyWJz6NPxfIIkIZMSQzdRC3U+3Ak5ckMsVeFGs8B/s9bmL7aOmUYpDyc+X1+u8uDdLbQsQqYpa9UCiqazNZywXlvBcE8J3BTbKiJ0E1VRmc2GeO6IufUXsAsNSGN0AYvNBUyniNe5R5a+j928TGXjFbzTj874/jMUzUKtLOPMXUHVTWZHHyCERDVs0nDC7PBdFC2np4ajnU/e7mK3i3tyi9LSc1j19XxkIrNPghUeZXyahfsAOJBSvnG2/SfkhfsxfkMgs5Ro1iUa7+Od3iITTxB7fczSEsGgn+dMUmGkNFk8/xz9401KtkbZEuhqiiFCEkWBiUBTNVprz/LN04CtSUDTsVgs2Ry7Gp0AljUTq7JIlgZIKbnSblMY3OT09B0a8xfJMgvP7RP5b9NYeRqyRbonGYeDhCAJqc3N+N2nHA62f8idm+8jhcARKTJ1CXWHII6puH3Wly/glZ7jm3cfsFJvMvJThp7PZVVwfLyLgSAKXU723qd89bN44z3S4hO5SVOikEmJHwZoikq5UCfx+4BAVQRZ4qMWmijIPMhAqATde5xr3eC0Vud43EWzq0ReH1V3kECSRGShi0DFMGzm6vO0jYQfbO8z7G7zVLNFq7XCFJu3OzMe7sxYLOh8obCIMR5yqWExDSO6XsR6yWDgBxQqy3SMOQpVkxUJMouZDY+wdYMPXZPd6QCAOMt4pzNDAl9da/Mnm/tULJtkcoxMQnRNY2c0oebYNIo2g+mMvbHLudoCZpZRmlvFH+yhF+r43hiEgtfbotDYQNTWuZDFVG2H8fbfUph/guHmX5HFPmZ1BaO0SGn5BYRmoCg60VnSezg5yr/UJBQXn8br3gck4WiP4tLThOO9/8c9mjDZf4NSlmDW1wmHu3zMFX+U8akVbinliRBiXwhxWUp5D/gKcOfTOt5jPHqIvQFZ7BMOd0lmXRpzGnunMxQjoVBt0rIlRUcnQ9C+9ApLDYvB7hu4ww6aSEFTyTSD67V17PUv8u1pi+3RKVKm9NyMxXKR5bJNmGYkThXD0VmoPM0ifZzRPbz+JnZ9g9NY4AcDKmpMMrtDVDFIgh9Tqi5wfeMqkVogUVz6m99FDrZ4pl1h4vv47gRUSdES6JbF1Jtx595bVGcRLesyP9y8y0sXrnCqmqhKRJRKbN1BCafYukHVsfFP9jFLV1GjMRW7xjSMcwOpNCWOY4QMEJqJCKOcFVFZRNVMNJki0ogsCfHv/F+8dP1fcqt6jb3uCVnkoigqcRSQZBLNKqOZJc4vnOf5ZgMvVjjqdVlpXUZYgj/fGnBvmjKNJanMOJ4FPH9+jW50h0N3xrxjsli0sRurPHllgw/HMR8cDfCiCVGW4ugGK7UVPnPhIvQTbE3JOegCwjTlZnfGRrnJWslBVxVm7pCyZeMHLkLR6XgBSxY4psXM95lkOktL14mmJ1iFGoPRKbpVobpwjfL8hXzmHPYp6QKj0KC48BRGeREQKKqB39vEO/4gv8mEilFeyMMjsvQTVaRqOMT+AClTFN1ByuSTHMlfhOnhu2iFBppVJU18hHi0mdKf9tn9W+A/nTFKtoD/8VM+3mM8Qkgjj6C/mef5DXY5d7XOvmyxUi0wbybMDm7hH/UoN+bRJyWyLKBx8RXU4TFmNsPPMijME6sGyWifZ6pl3nMserMxMo4YuYLnltrUTYUNB1pkrFVL6KlKPzphVlhihqBkwFKpSbFYRTmLSBvt/hih6gj5ZxQXblBqniPc/TY100FlgjE7BaGiqAaqZjIRAldqZIZNt7vDk09dJ1Y3uHN0SMV2KM/VuLG8SOqPscpLaKmHkUwY9+5RX/kChozA61C16sS6hZ+kqJpGFsSoqkUmZqhIEm+AUWxTVSPU8QNAkoZj/A//mJde+p+4Ul7kfsegHyS4QqAbNqtrz3Ch0iY9mjB8+4D7pSKGl2FqJb57MGCUyFxIc/a5RJnk2z2F37n8Wfbu/IATL6G9doOuMce97Q4PhjM+Vr1nUhKnGUas88cPx5i6zh9cmud7+0P6QYyfpPhpyt2hz41mlfvDKXkqpMCPY1TdwY0TpGPgOGUitcggVllUbRy7Qn9wQGnhCZxCFa97j+6HN7FrK0TemCwYMsxiBIL6ld+hce3rTHZeI/b6INQ8LUfLE+QTr4/mNNDMMpwtgqahi1lZIvH6eSbn32v5LPFO71BafRFVltGcX06Q9qeFT7VwSylvAs9/msd4jEcYQiHobyGlpHHt65iG4HMLBfrbr7F9fB9FryLE/83em8ZYdp53fr/37Nvdb+1r791sNilSpCiRkrVYY9ke2bEnmQRxnHxIJgYSIDMJECRB/CGTSYBggEEwnwcJjEwCJwgMJ+PxOJblsWTL1kpSau7sjb3UXnX3e89+3jcfTrFFiVuRYpNd4v0Bjeq6dU7Ve8695znved7n+f8d1ipr3Lr8h4TRGC9o0l77BGO9wZV+j/7BNaJ4hKPrPLQ85DfXP8f/+uIQ2/HxLIMoS7DTmJee+y5edsBOFhNjcen8Z7j42OPYpCiliAtJatTJxpsU0YvYXh0ZdcvURV6gdl9FWB7CcAg715FZiG5XSWrz7A4iQiukk0IsMwqpKK4/R9h8nIXGDJOwz7+8tsUXvDnC/j6FyKiSoekWKkuw9i+z3DrLta1bkCdYho1lupg6KNslCztYdoUs6pKPd7DmHuDSwiL5C18/lGXVEHmM3PkhzmiHR/wZstYZsrpLbf5hRM/mzjdeotsPaa3NEBaS9ZUmf3Gzw0BKIl2UeX+l0CSA4ko/wTNn+NKDX8JMe7xWVLh5exMhBJlU6EKggMBxqTTm6Wo1XhtmDNOYUVLwmYU6//pOl8A0iPOca72QTy/McxBm6MIlzXN03UaiyGTBOC+o+j578RhPFURxDpFFfeVRVLTP3nN/gKZpBJU2hhUw2nweK2iSR32KuEfv2p9jei1qJz5HNtknC7ugBIZdQRYZwnTLmbJhU8QjZB6imR5u6yRFOsF0G8jsnSWIk+EWFaXwZs/f9y5a95998ZSfC+JcEisDKXPMYIZg8SHCO98h2P8eqvcaMgvJol1qNZd4cJ0oGYIoIB+Q7PyISf8WWwcbJPEIHUUmJc9tXOekPeZ8q0FFpGjZhEIJzrdrnKzZzFYb1BsLnD79BAepYH/QI5t02D3Y4vpE4y+2JmTVk8yc+RLt87+C2z5DsPAg7bVPkRSK1J0hEjaa28SsLJI3L3J7nBPrPrqmYVBgqAyDgkF/F09kfO12H9Op0fIDVG0FTdMY5BoTXDTdxp07TzG4wwNNj4pfL6sgVIFKx8jJPobpkkc9ClmgO3VQilktYslV1BYv4tSXMARoFMg8Rjddkv2XyV/7c3w5Ib02Zvt7VwknaVnDrKBdcUk0jXGWY+oaeaYoMsp2d2GghIEUGj88CPmzcQM1/whXYgfdqSJMF8/xqQQ15uZPYbRP81Lsc2OYkstyJvtCN2QvyljwHTpxjhB66ZCTK/bGY/DnsEybQmiHrj4RaQGaprPgGog8JwxTrMoylsroXPkLlCwwdQOnvkIeD1F5KcFbluqJsmEmDeld/Qua537lsHVfB80oXWzyGJXF5JMOmuW+YZ8xhl3FnTlHuH8Fladv79ykJNl4H/M+tix7nWngnvKBkxWSyzsdJnmBN3uhbHWP+tTXP0t2cIXFqsP5pTXm6i0WZlcJD67iapKWo2OR0R3u4cmItmOiZFYuwilFXGTsbz7PIw2QWYRuenxqvk7N1PDaZ7BmL2C2H+Dy5iajNMWL7pBEfezqEqNc8EC7QpMRvVf/DKGZpcWdZqEJxai/yfbODXa6u4RGFdG6wFZUkKMjlSDsb+KJHEMmGEWErlKqlqARVHlxULDUqHNtZ5Ng9ZP4rkfD94j2ruDNXizTJ699jafWFwlc71AQqUk62aVIRqUxcDxAyZyT6w/xqVmX8eV/TtLfoHH6y8w+8ls0zv0ydm2Z2snP4c1eQNkNhLnOwdWtwzSAwq97+As1Tp9qcSdL8Ws69arBiZZD07UwtbLWsmrpzLgmLVun5Zj86caQH44NRsEqef0EqnGCpLrOtczjuwcZO1FOoShLNQ/f4xc6Ey40fXKl6Kc5YSbRNUEm4UbqU28skMsMR4dcZli6yZ1uH8c00DQLgYZdrTC4+TSarmNaDk5lFsOuEnWugyxKHXI7wPDbpYa2ppEON0mGW7izD2C8Qbr19VCmZAqyQDOcQ6/OcpZteE2S3mtkYZc87JWCaPInA7huuOi2j2H5H9q18n65vzPwU44l/XCMPrpNYkFj/kGSznUmOy+Rb/6Qyc4LKFlgODUWGmvUKxVGxQhJShiNkUJDaDbRcJfl6iqJVIyzAikLdKGxP+qysOiyNjPPr6zVmMlf4+Yz32A03EdoOn51gc+f/gQNxybZ30E0HuGlscA1NLzJbQ62rmOogoPbT1OdPYMc7xP3NnBFRsM0iKUijmNyKyFMEkynQpaM0XUdo4hoeDVGucDSdZJoTNHfB9Pn2sDixNwZdoXGZ544y2TnJeK9K1RryxjVBfLxHpWbf8JXzv4GG7nLtd0dOpEiHW5Smb/AfLXK6arJopejtr4PZoDMJow3n8FtnUIgSAdbVJYeIY8GGIZNNrApkj5GxaR5boF9V/FXvW3WRg7P7u7Tj9Ny3JZJ3Xa41PCxdYNUKtJCYmjw8FyNf3FtD0MIxrkkEoK9BAqV001y5Ou1zVLimzqvh+79KCOVkmXfZmOSMMwKDE2j6vnciSWXWqdpdW4Txl0szcDSDEZpge+ArZs0Wosk3RvItMCtzKJrAstrlp6jlo/eWMMM5iiSEeH+q1AkZGMXu7ZMuHeF5tkvs/fcH6DymB9b8pSfvyIL0a3gcKFS4c9fBFWmi5TMkUWCjFJ000O3g9JV3q5gV5fQzPu3dvuNTAP3lA+UNOzSufpXbF9/FmP5Ik05Q/eVryGEIh3toLII7VA/IundROUJqVKHbjblApoSiqzIEEphCkXL0YlyUdZ4azqL9Qb/gVWwf/3rdMJtJr0ddDQCw6KS3KF46VUm9RVqZ3+ZodRZDF9GRV2e3d7hZMWhaRaIZEA+2WXmgV+jkDkyHSG2LuMiEN4s27mDMjLiJMTULYRhkyuByhM8YTA/u8IVfAI3QSnJfq/LV5bXmPNsDuKUy3KVtdkqVrVC6/EVRjf/GpVNiG98jTXbYbl9iWLlYaSSaEhqXhu6V4k3bwKCpH+LbHKAMGzSeEAwe4HK6gPEgy2qa08QhzH92yAME+/CIs+mY567sonQDVbzcvYLZeOKoQsKkfPaeMCs63NzkHEQZdQsgwXfYSfMqNkmhVQ0vXLhsxtlFLIUpZJKkUhFVQh0IShUaSC8M0lpOCZbk5Q5zyTOJaZmoIuMG7LOybVLXHnlG8z4daJckguDbqxYcR1qjTad298DYaGLw7y/v0iRH0q25kn5JFZfPfxM6ORRv9QRcWvk8RDTrZEkrzdulcYIKFEaJgsNq7pIsPAQaVhWl1RWnmCyfRkp8/LcCNCsALu2jG75CN247w0UXmcauKd8YOTxgN71bzEe91g8/xVqtqBz6y/La0q3EYaN4bdRqkBmIQpFMjnADWZJ0/DwsbbslCwoawMmWYFC4JoGjqExO7OKl3V5/un/m7ohCaLbuCJC003IFSrNEaZHNt4j2nqW6sJDdDa+T2pW8cjRkPh+DbO9il1bIR2XM/XqyicZd2+T5Tma4ZElBSRDhJKkiUQzXRIpEELgmSaV5ipFf8DJQEfmGiJPkYMeetZCt002dja5k48pJs+yvHCGh5d/Edm9im7WiCZ7iI3vkoY9LLeC2zqN7X0Sc/FRgsVP0Lv+DaonPouMh0gl0evrWG6dQikm+69i+DNU5h5j8FqP4OQiLxUjru7uI3SDXEESJdTtcoZrGgauqbMXpUyygr0w5UytTphJTF2QFJJRVpAWksIpA3nFMrgzTlCAKcoaEYUizCW+oTHMyuqMTP74BnGpHfDc/gjX1PG0lG9vXqXfqPLph34NvXudO/vboBmMowKnZiCUoAgHWK6O49UxvBningn2Pul4nyIdIzQTeWiikI73AEHcu4U7cwZNNwkWHyEdbqIKWbbbygJ0E2HY+EufoLryaYa3vs1k5znc9jncmbPYhxrdJeqwo09ivQAAIABJREFU0UYhdAOEjtNY/5CvmvfHNHBP+cCIezeZWE027BpmlDHc+BGNPCRQEsOpohkG4d7LULwuWSOId1+gMvMAg+7Nw3pbCTLHtQSRTGmakhyDXAjiHGbmztG59Qx112bOs1DmXLmYJQuE0A7tqVKUKujf/j6hcJn75L/PIC2w4hHtap2WH4DK6V//S6DMc9q1FWpzp+neepo895FSQyEopETTdCSlbZela8yvPMhuqhFPOqVdWK6QGSgxQxGbWHlAo7bCYHKA0A1ubl5hu7PJfGOWtfolgoai6ljMWgaFUiQS+nlBEHYxLQ/drgEKd+Ekmj/D3s4LhBs/QOQp3twDmPV1zNoSjdVVes2UV158HolGcbjoNh5HLDku40IgddiNUqK8tHiL84K9KKTt2gxTiWPoWJpAyYJxKjB0QcsxMQ6rS3JU6equBGEuaTkGjiyrdCxdY5DkzLgmJ2oOL3eG1G0NYaUIpdhNXDYay5xaW2W2vou/f5M8CWnUKxhCw67P4lbraIwpEg+hC7JoByU0iqJAV4qkfwu7voYej8iTIUIzSfq3Mb0W7sxZZj/x75EM7lBkMSh5aAh8AnfmLJ2X/xXhTlnvrYoEZH7oN/mTZJODMlVSm8Pw2/f+QvkAmAbuKR8IWdSnG+V8ez9nc5LxhZUmWzc6WG6ZwijCTimpiUAJ/e5+4dZztNc+R6V9msH2CyAEUgkMp844HqOlCbZu4loesytPUDF0OqNNZjyHflrQ9NroVoDMYoo8IU+GpJNOeYHrLmJywLBweXak0ETAZ/xZ1to1ZBbhzZ4l3HsFgGS4idc6jYZg0NvAFIrM8iAZoRk2Qiud4GeXL5E2znJ1++DuMQhDYFs61UaFwG/iKzhtLvL8VkaegGc6JMNtNjr73Nq6jkWOYbosrD7Ket1kuP1D1OA2y7bCcxuodMzwzg/wZs6huyvEVgWvdR4ji+jnBnde/gHN1gGr9S9yPYrJrHqZbtE00kKxMSw4uerzyjBmogqywxpuIcq0RzeOudj0GcQxti6oWzrDpCCwDLpRimcanGm4XOlF5IfBWxcCAQzTnLptoGWwHNj0ooyvnmjxUmdClGcYQme1UqXurrHoeRRpxD9/rYcjbM62P8OqA7ZroNIeycTCDBSOV2d4A4JlycHObUzTRjcdNBRFMiEZbOC2ThIdXEFoBkUagioY3vwb4u5N3Pbpu0a/MovR7bJF/vWgDZT57bepJimSMarIyoX0Y+JbOw3cU35mlFKkScjlicdz/R7jOCUvChIp6eUW865Osv/KoaffQ4w3nr67rxCCePdFGiuPlRfj3lVct4I0PdKwiyEUmiZYXHoAf+kiRtyhiIdMtCZbe3ewfYUqMigysqiPQGL5TfDmiAqd7XFMSwNhBXimzpxfLj5ppktl+TE03SbsXEOmE+LeTaz6KvOz56Gzy8b+FlnURzNMgtoSTvs0u6nOte1SDe+NzNcbtIMKdqW8KZ0zfTbjOQYTD5lH5dOEEGiadvexfqOzy87YY2n203zqzGfIhzcInCa6phOP90mjHq61gjbqsDsYUaHgej9iFI0ZT3q0nnyCjVe6SKBQGmEGmmbQmaQsxwkn2z7f3u6hDs2VdSFAL9fwojzF0eFKZ8y5hsNLHcmCbzFIygoSXQguND22JwndOCeXCiFAU4JBkvNA0+d8w+NExeHb2302RgkKnaptsxx4nPQEnfGIb13dxPBmME2TYVSwuR+yZOjUfPDmVkntESq3sGuKOL6JlDlKWVh+k+zQhFrlMXHvNk7zFJphE3VvYFUWiA6uoYqUuHsTqzKPN3cBqzKPZvpEm89SVpqUwdrwWhSH1npvQoA/9wBO88QHeFXcW6aBe8rPTBaPuJ2YfOvmHVquzZeWayx6AmXlqKKHkgEyTwj3r1A78RRCN5lsvwBIrOoi0dYzGOkYf+4ijfXPkqdj7nR2qDUruJU57MYKYVGwlPZAKHrKIcglzcYcerJJGA3QbR939jya6THKYS9MyIWJMIwyYAFrFZuG8+OPvG75VFY/hdM+TTrYKhdPVYGmW8yc+yUGM31kFhKHQ7aTgr2dEWmRv+n4Nc3g4so6XtC4+9qsZ/GZxTrf2dYYpz6gkY73SDNVihgpieVUsHXB+UaFmqcz1M/QlwWzTpXGyc+x9+zvk8rLBLVLSCNAKkmU9dGERjTpEeUDJtkEXfMI0wINiSEEC77DIJrw8OoMN0cRNwYTFD/2+0RAJguark1g6nx2uYEmeoxziaFrVCyDcVYQZjlznsVy4NBLsrszd9fQ+NxSnTjP2BglrFc9nlqsE2UZLdekamr86Yu3mOQF89U6FQs802DSh3MLc+jbGaF08VdP8/yV73HCtwgaKfu3b+AEbUzTQcm0HLNho2T2Yw3vqIc3cw5/8ROlVIBmlDfFPGay9zLpcJtg6VFUkeM01kiGW6AK3PZpBre+/ab3TndqVFc+hd1Yu++bbt7IkQK3EMIFVg81R6ZM+Ql2xhE3eyFfPrnICXOMVSR4SufU2c+W7e6dqyiniWWaxP3beLMX8OceIDq4hma6hJ1r2KaN51aQjVU2MoXwTmAikVISmIp2MWb76kusnv0smtAYhWPm6nVycxW7doJJruhkitEoRxMCYVbQhMAwLHIEKxWbB9sB2k+JBwmhYfltLL8NPHT3dakU1dzi+zsD4kyQhXsUP1X3Kw59Dx9aO8WJ9gzip373WtXFMXSu9ULuGBo9JHKwTZJOcA2dExWf0zUL//afEDpVDKEhshg59wDe3EUWnviPGL721+h2StueoZslGNoOuYK8kIwn+7hth+SgXGQUms4kKXBycAPJM3s7fHaxScu1eLkzIiqKQ8MKycmqy6lalVvDmFd7I9arDn9wdZ9xXjDjplQsA0cXaEAnTHAtA/cww3Wx5dOPE/7w6jaZ1JBofGo+IByP+NxSBWnrWIMbOLpJmmbkeYJafRxkgRFn3O4NWDzlIc1lCvUcmAV52gGrfH+KdAK6gV1dKOu0lYnTPFHOrjvXcZsnOXj5X6GyyWHQTkiGm+iWT/P8rxLuvUKRDNBNH7d9BtOfKZvwhV4ukms6ptfEmzl3t0ZcFcfLKuBdA7cQ4teAfwJYwAkhxCeAf6SU+vV7Pbgp9z+FVFzv9LhYd2HnNqNrVxjtHzCwdAxriCpSgoWTzJz9W3Sv/hlZ9waTrR9huC1q609iVuYx/BkMu8po9xW2n/sarfUnaPhNzEJgFJKD8SbPdbqkaMzlOY0gIBp3sVTBbq7h6zaGCarIMU2dNyYxmo05PK/Bk9UqFevoD5iaEJxteOgaPH9g0LMDZBqVXXqHYkYVv8bZmRYPzVRxTf0tf8+cZzHrmvSaPsO0TpyuILII4gO04S36u3sgDAqjRnXmFFo6ZtC5ievXsII52g/+HdLxNjKNmLHnebi2Qre3S66Z+LUlJpNtRA2amISywPYt0EH6OqMk4VubGywHFX7j9Cy7YUYvTlkLHJYrNX6w3aefZLzSyThX9/jqqTbfuNNjmOZYus6tYcysZ9K0Da73Q1xD49G5KlLm/D9XO2SyvHkZKBxdo1210WROr98jHe1ienVIJUrXMdD47HoLexTRfNDi+aiLmwSsnHkU7eB7CE3HMgxUkZNpNgUCw7BxGqsIUT6tKJlTWX4Mu75Mevv7ILSyOqnIMb0W9VNfJOrevGtDVmQTNEqVQKHpWBe+ethdWj715PGAuHMdEGhL93/TzRs5yif5HwKfAr4Jpf6IEGL9no1oyrGiG6W0HA1t4wccvPwiupZj1wrybITuBRSTEePN7xN3rxPMP8LuYAcUyKjPeP8K1uSAdLzPeLiH7s+iNJ18vIsZ7hCObHAz7qQa/SQjMDVUOqLWWiVI9nAMxZmgdncsbcckzCVxIVFKYeo6y+sPUWs33jQbPgqGJjjX8Jn3bPajlNcGMXHRwtBgybdZDGwatnm3JO7tEELQdE2argmUi1+Dice2F9Bc/CRRHPPqlW/Ru/pH+H6LcycewMwOmGz9VanVbTgUcZ/CDJBWi/nZk0TOMld3DmgZBleiAY35NlEMm8OYKCloJiaFDQdJxlgOuDIcULdszjaqLFVcLu/1eXm/R5jnWIbFD7Y7nJ+Fzy/XyaVilEp8QzDKykXL37qwQC4l13pjvrM5RKoyb46AOc+maQnahk7Fgpfu3EI3QDdMpEqZaS3y1IkWyXjCS4Nb7NwZoddOMc57uIsLrCw/ynjneeyWR5pMqAiJISSGFaBkBgiEZh5KJzxM98rXy1ptw8L0Z3BbZzC9BsONZ8jGO3fPu2Z6NE59gTwZkE8O3uqtKd9nt7R2O04cJXDnSqnB+/ngT/n5RwLVcIPxrWsYTkQ43CLt9pFSMu6ZNBdPoWWKyd6LGE6V6swFOluXiRGYdhOveYrdjRdIwj56EtFcvISu61g6KLsgzEcERo1Wq4ItCqxsSK21zmS8gMx+wkwJQ9eo6hrVw++99lkqrbX3FbTfSM02qNkGp+sehVTvGqiPQuDVmIRjdiZDKkYV3fHQbYtTC4tsP/9H9ESOmx4w6byG31yl0lihGO+xER0Q7+5Sb66xtv4ZVr0q165d5entfRzLxrZNDE2S6Dltx+bmsCBKJBqlbMAFrcn3dkbsDGPCvMzX54ellLcGE547CFmv2jw2V2W9UifMJftRiqtr/MmtfbbHUbm4igLNQJcFv7Bc54wvGIUJcRKSxz2CoE693uZMuwlZCFmfP7t6lWgQoTCp+JJQpkhpMjQqNC98lWz3JSab3yfbv4LwW+TjXYQwcOcuUDvxWczKPHnYpX3x30AVKUI3AUEeD4m6N8gPZ9pCt3Gb6/hzF8nTkDx8+6AN4LZOYTjVd9zmfuMogfsFIcRvAboQ4gzw94E3Z/mnfCwx0gGqc4tC9RnuXyN/gwJbkWfkWYyu9PIiigc0zn0F4VQQ1WXCaEwuLLIkLDvfZIYtCkxdIZMIQy+o2S5BNkAmY0jHuAunSDvXqC0/TjzeIot6ZVXJG9BMF7d5Cn/x4Q/cfuqDCNoAutC42JgnV1v0kxEr64+wXKtzcPXrpKMtUs2iMbtKMtpn0rmFaXloRUY7WORmZ5eeVDhCp3bhl1irLXB1mJMqDSObQFGQaQ6yEDQcg/04J5FQ13RmXZ8bvQmD7LDRSZZyAsqwSLOMqmljaBp/eXObUZoxX6tjaBpZoXiwVWF3Epa6KLbFmUbA55cbrNoZo4OrfLJeYTzqc3KtieXWiNKI7Y0fMk4SUmeOsB8iCw2nElCYJrbKWTASEmHTH3aoBjPUFh+GufOYfhuZRxhOrUxrRD2S/m2EbiF0C6u6jD97jjzsoGSB0zxRSroKDae+SpHHpJP9UpPknd4Hp3Zsmm7eyFEC938G/C6QAL8PfA34H+/loKYcH4ykQz7ZZ9y7jcxjhBCYboBle2i6jmU5DLeuYtouQtMoogGm5bN582n6g10WTnyK6vw54r1XcL0KKh0j7Aph91WcxkmETMn2Sv8Np3kSzXSxnBrF5ID66S9TpCOS3i2yaFD+7WAWu7aM6TUQ2v1dNOUYJo+0ltgKB4zShFZoEOYjCl0gyAnThOr8BZLeTZLhLk51Di/v0w6qdMMueVJhe+sGVbHOL8ws853dHaQmidMJeRLi6w2WfI9eUiCF4lMzM/Rj2JnkDDKFrTnlTbLIylm3btK0NBZ9i1GoIym41RvgmjapZ/GLFxZZrZTGF6BRNeG0k0LnJU5oEyavPct484dYlVluillujXMMASfXH+LGfoQsNIQArzVDX8U82bbQBjdIqouYG99EttYo+reprD5GFg1QWUgcDeANOtqqSFFFStK7TjB3Hn/+Iv78RZQsKLKYydZlJnsv/cQ+b4duBdTXn8L0j1eaBI4QuJVSIWXg/t17P5wpxw0tDymyMVkSYnk1vGoDmYXkYQcpNJRjYhha2WSsIIv7yHhAXU8IagFmtE3r5JMMyUhH2xTJkEw3kXmG4QTE+9cAMIJ5mhf+Nobpkx3cwF19DMOpYDgV7OriR3oOfhYs3WC90iKN+uzc3KYxe4Z6Oi7F/1WC0Cx0r4VtOgjKvPKsluI2mhwkKeneKxTtWchd/s0zp7k93OT5vYxBHDOOI3xT5wvLM9jC4UKzzR/f6HGY6CAqZHmz0yx0IHAMTjcqeCLlVN1hL9IZJAWTrOAgjNkax7zanbAY2JyraKybIfreC8gi58bGq0y6N1hsL7AjmtwY5riGICkETus0Wz+6jmEK3GYdLIPP+IrW+Aax26JaDBGjTczZE1ROf4GoewOZTt7xvCkpf6KhRmg6hu3jL15CqZy4+9rdEsI3IXQsv01l5fHSRPgYcpSqkq8Df1cp1T/8vgH8X0qpr9zrwU25v1Gq9EZMkz5epY1pa0T7r6KkPDSzLVup82hQVh94ddBsrOo8ummRRx2KPGFw67vlyv+eTZGMyONBOQvSLcxghsryo1RWnkAlE9LdV7FnTmG3jk+zxFGQyQgjm2A4ATgBym8h84Q4L9AVJGEfYfnYto8loGYF7A0l494Oa8sJ396K2EhcLjWa/J11F93QSQuJ7/j4tks/FRxMcpK8QCqoWjphVgY+39BYrjgsBRab4zJA103Bom+wUPFLgSilWKt5PNaycCa3Ud0rhMNdwuEe4+Euuu2zsHgOZfpYmWIlyNmZZKyefYpXIxthJjTbDU4vnWBBCxGjLUKvja0LaoNXKPwaQjOJBxvvGrShDNRCvFmV2rAr1NaexJs5T9K/TdR7DZWnKCURmoFVmb1bInhcuiTfiqM8S7ZfD9oASqmeEOL+Vxqfcs9RMkfoFnalha4U+WQXa+4ChVUlk6U2BpaF0+iR9DdRWYrpN4i6r6GKhGSwgVSgmy5x7yZ28yTB/INE3RtouonSffzlTyGUpDi4AZqOu/gQzuJFtA84d/1Ro/IE3lDIKHQTXTfJyRjaC5hSJxp3SKIRUhYE8zWKuMArJFUDztc9Ystga5xyo7tJnEcUQJhL1hdPITWTR+aaXGoHXO1Hh/XcCt/UCQyNUZLww50+mYIkyxlEOVtjnZaTUGQxgWViZBWu3b7CubpB3NtCZSMqQRXTq7Kf6tyIJQsaRHGCZXo89fiX6NlLzImcR4Lz+I6HOdmjqxz2jDaztqDV/QHJ/svIIkEIDZm/c076dXQ7eFsJVqGXAdqqzOLOni9rtJVCaHop43qfp9COwlGOQAohVpVStwGEEGuAepd9pnwMEEIjlznVhQfoxt9lYpwhkjpFClJppFlOJ8mZr6yiSUXQWic8uIZGQaFZmMEseSHJkhHh1ov4zRF2Y41MCqqnvkCWFph5HyUzrNUVjGAW3Xt/pX33PW8xewRwDZ1tqWE4cwRuAyMbMhr1UEqQJxKZpagkRXZj9gyTTNjMug3kcEImFYaAjd3bNGdP8v2dAXMVD0cHoQp6Sco4UlzNFGgaKs9ReYyt2+iGiWvoxGlEkqdcaFcZ93d55tXL9BfXefz0L9HUYra2r/Da7hZSCVp+hbFw0BcfJvfn+O5Ixxgd8NTyDLfGglBlFKKOoynOeRPMzguMt58FQLcr6G6NrNM50ulyW6cxnMq7bndcZFrfK0cJ3L8L/LUQ4i8Pv/8F4Hfu3ZCmHBeEpiN0D2/xMfrjEU73Nl4e3629xbIZ54rEqOLPXsJdusTg1T/GrS2S5QWEXWRRIJMRbmWexqkv0tl7DTX3Sb63I3lseZ65+smP+jA/FDTTRWjm4bn7MZauMe9Z3B7FjJRJzZrFabWQmgm6xLErpMpGElIUOZNMEXlVbK+BnPSIC4ksYtLxPqlR4VTdx9QEudTZjyVCybspL00IlNCQeYhrOVRNjVzozAc1PjkboI9e4289cIGWY5J1b3Nl1GHQvIi2sIxvmpyYX+CHBzp7ucZgOGavt8fjJ9b4yxu3qNkmK06Gp0novoKWjZF5jGbYyDzBbZ0qOyaPMCfUTA+7tnyP3onjwVEWJ/9UCPEo8GlKIdv/Qin1zoWRUz42mI1VwsmA9tqniR2fwcEN0nhCXChkoQgcm2pzFWPhUbqDfdzZB1GTHQwEuaKU4Vx4GHf+IfajjFHrcb59YDLb1Gi55kd9eB8ahtfEqsySDDbf9LOabbCsHDYnCYO0QLMNkKAZOl5rldsjD8M2MVSOyAt2JoqmN4+Lhoh6DJOUvd4e7YbGIAq51PS5vNthydPZCyWpVEiZUQCmbuI5HoGWw2SfOd/jpA/ntQP0Ygtp19nZvsXmnZeZXX+El3e6bHT7fGJ5npn9OwjzFNfuXGV/2KfRWKQqYvSsw4NORpC6yPEeWhECoBkOVmWBbNLBbZ8hGWy8+4kSOsHiw5he8wN+B44XR0322ED3cPsHDttG/+reDWvKcUGlE9L+TW7efI44TWnVV9GsERVNYAeziMoKe6mgluZci30urf8yLW2AQCDTMbrX5tZEshHnXJ5MuL45oFKb50szDer2xydw64aNO3OOZLDFT886hRA0HQNb1+inGeO0oGKbzFccZPss1670KTSFU3FRSqLQuNbLWarOMNduYoU9wnDAaNwl9B2+vN4myqu83Es453n0JiHDVAMFjqFhiYK6ZVCvLVLTC56a9zHGt7jZ6bG39yOKPEXTLbTGOrvXDzg31+asF7N56zLeqsM4zak3F/mVU3OsiwO8loZjVcjHO3AYtA8PDKsyR/3UF0knB2+qx/9phGZSWXoEb/b8oS3Zx5ejVJX8Y+DfAV7kdY3E8pM1Ddwfc9Kwz+DOD/jB5W/SH5UC9Rt3BJ7fKNudixt4lesw+wl2NYtFz+X72xO+cnKOwLEZ3Pob7MoKv/fCVQZxjNRMHKfCF08s80D75zM3+U7YtWW82XN3NcJ/AiHwLR3f0onzAqkUrcWHuBy2UWqbIs4I6i6iVPlAobg1LNiPoe3NYFYaeDqcWWhzoz/hRL2KqcdsjmPqgV7mzLOEIgsxKAjSMQ3d4nytQveV73D59ktYuoZUkBaSublldnKdB5farBkTDq5/h1zotOSQp86c5kzN4Yx+gAqHFMSk/S2U/EllRcOpEyw9gtM8QTrcITrwSAabbyrjE7qNXZ3HnTmPU1su3Wo+5hzlDPwGcE4pldzrwUw5Xky2n+Pm9acZTMZlEk2VJYKTcffuNuNRhwXT5sA+wVp7FmPUR1l1imQPw61jmC6TQiMImqw36zy5vsyDszUc460X636e0U2XYOmTgCDcv/K2TSSuZePNPYDTvMSpHY3bjYi9zj5GlNLwTAZZgWPoTDLJKFYoCmxD41LV59VOyN9sHhA4DhfbFc40POYthxduvEIUhwS2xYJvcbpSp5p3SfdeohcdMF8JSIrSENjzqiw98BTbk5iDzsscTHYxNBPDMKkaki+fXKTlWpBVyMY+0f4VpOmhVNlab9gV3JlzWMEshlsHwGmsYNcWycIO6WgHmR6mU0wXqzKH4bVKe7opwNEC9w3ApOycnDIFgMmoQ3/3ZbqTyeGD/WHkfgv2t15h5aHzvHbQZanRRBMWqkjQhYHptfm3Lp3GNB3mKj7r9bdX2vs4YNgBldUncJsniA6ukQy3kIeSo5phY9eWcVunMIMZhDBZDCRfOjnLM1bOdn/Mgm+TFimFrhHnikIqqobB44s1qpbO93Z6eI5LmOU8uzugalss+T6/fP4ksnMDW0YQ7dG/fo07BzehSDANizknANPEcCr4Jx9hb/tlGG6wZjuIRpUCDdfUWfAtmr5dHowdYNgBdn0ZmYZlLfWhvZxm2G86dqHpWMEsVjCtNn43jhK4Q+BHQoh/zRuCt1Lq79+zUU257wlHu4TjHkmWoAmBpDTS1TS91B1RiqLIQanyEXx4h9g/T9X3cVDkukORhUiZs9hosVDxaTjmz2ep33tEN2z0+gpWdZE8GtytNBG6ieHWf6LxxJvVmM89nqo2GTVd7iQZyw2P3VwyzhXzvk2WSV7bDdlOUkxH0PJLnfDHZiusVyzCNOO2VmO2to4/eIX+9vNEgz1ypZDopElCKkwqc2uI1hmu3noRkU+Yq1awDQ2hW7iGjqYJTPvNJXqabqG5x8ek4DhwlMD9R4f/pkwBICskSTSkUBJNgGUYSAxMyyoXmFQBCIQTkOcZWRZTxAPMuk3VstHJSYWFZgUIlXJx9uNdIfB2CE3H9N/53Gi6IFjUMNw61s2CYDIBXSAW64x8m29uDPnR7ohEU+RGjqF0ljyHMw2fYab4gysHDHo5VVvwmxfmcBZ+gWYwS6V7iyKblDdgw0M5VQajPuFwk5WqjWf6GMZPhg+hW1jHtIX8uHGUcsD/beqAM+WN5LL0TDQ0HV23cUyDNB6TjodlHvP1DYWGbrq4bgVdt/G9GoEhSLScMMuxnRaqyMoOzJ+DbraPCqEL3LaJVW+RdE2SwYgi7lExHX79dJ2LCx7dKCKTkErYGid883YHDBNNwKlFn0tVn++9PGAu0PnFpQa7t59D0w00XQcVIWSHek3DqTpv+1RkBXPHUrDpODJ1wJnynhECNKeOqQl8v8KguwVFioZCcijXDKAkeTJB5imV9pdwqj6+Lrg+ivCLFN1rkI23MS3vSF1wU94Z3TDxZlvYjYA87JJOdqhFBzwYLHHbDnhmf8LWJCdXOnNVn7ZrcqbuohT0wpRHztc4qbmEowivPs945yaWLQjqOqajY5pvv2AsdAtv7sKx8m08zrxfB5yfL4WfKe8Jx9DR3AaGW6cRhfSVRKDQBWiiLBlThwuVmhB4XoDuNZlzTbYnA6I4p+K7COEQd67jNT8e3ZEfFrppo9cWsGsLd19rKMV6PWAvzLi53yXOC/zAI8wL5n2LT8xUaDoGBoIksZFrTzK8WZCHu2jv5vCjmVSWP4lTX73XhzblkPfrgDPVKvmYY/st9LkLxJ1rzNSbHAz6SJkh5BtSJYCmGyyc+gxVL8DL9vmLF17g0tmHSLDwUwvdbSCms7R7jiYEDcei4VgfSFqsAAAYjElEQVQku3eQus76fAVDCIKf8uJ0PB28NubZLzDefLYUA3tLiVSB4TUIFh7CbZ362DfFfJhMHXCmvC8qtkVXGNRmz6MfXMPSm3TDmDiND3MlAtPyWD/7JPX584g7f83tQsO12jQtwaiQaFGGXT+Lbjof9eF8rBj3yjr7+vkz77id6TWon/w8Wdgh7t0iGWyUTTRCw7AC3JmzmMEMxltUkky5t7xXB5z/k9IB53+4l4Oacv+jCUgmXcgjgvZJnHhEyx2SYpKj4daXqc6cRI63yK7+Eb1wQjfVWTl7kQoJRVJKbWpm46M+lI8dTz755JG3LSVS57AqcxTZwyAzEBqabk07GD9Cpg44U94XWSEpioxw4xlkPED35zCCeaqeB0Ij619l75U/ROYpyqpR+AvUqqss+zayKDD7u4haFcP++dLVPg7cuXMHgJWVlfe0n27alLJFUz5q3jZwCyH+qVLqPxdC/EveIqc9rSr5eKNkgWEHxEmErekU423S8S7DPEVKWeY7NZNYGmSTIQ2/zfziWYqdyxTt03fV7TRr2nDzYfN+A/eU+4d3mnH/74df/8mHMZApx4y4R5ylGNUl8v4NtDyGLMawqyjTJZNlu7VtGASWgZOPsU2TSDOQWYqMC6zAQ9OngXvKlPfK2wZupdQzh19fN1B43W9yRSn13Icwtin3MSqbQNzFX36C4XAL3VBoSpGPdgCBoRuYCJSSSFXgr30Gza4giwyBh1MPsGr1j/owPpZMZ9rHn3eVYBNCfFMIURVCNIHLwO8JIf7nez+0Kfc3CiMbMUxzmhd/ndwIwLAxq/PobhVNaCAEptdm7tHfRmk66Xgff+5Bku4+wcpJdHM62/4oWFlZmQbvY85RloVrSqmhEOLvAb+nlPrvhBDTGffHHM2wsQyTIO2yH1aYe+jvUow2SfdfgSJF6BZOYw3TazPefZkiHlI/8Xnizg6tBx7FqU8V4D4qvv3tspr3vVSXTLm/OErgNoQQC8C/zbSyZMohhtvE8lqg9tDyMXt7fWzbx198HC0bo/KIZLLPePdFTLdJbf3TGG6FxtnVqZ7FlCk/I0cJ3P+Isnb7r5VSPxBCnASu3tthTbnf0S0Pd/Yc6c0DXANcXyMuEtI4RiiJocD0mth+C6FbVNeewJs5/VEPe8qUnwuEUvdP9/pjjz2mnn766Y96GFOOSJHFjDefYbLzIm+rgiB0KkuP4C88NHUwmTLlvfOWC0FHUQecAf5jYP2N2yul/sMPamRTjie66RAsPYpuB4T7V8jDHncDuNCwvDbu3AXc1slp0L6PmNZxH3+Okir5F8C3gD8H3toEb8rHFt10CRYexmmeJJscIJMxCIHuVDG9Nro17Yy835gG7uPPUQK3p5T6r+/5SKYcawy7MhUbmjLlQ+IogfuPhRC/qpT6k3s+milTptxzpjPt489RAvc/AP5bIUQCZBzaeSulqvd0ZFOmTLknTAP38eco6oDT598pU36OmDbgHH+OJKh7qFFyBrireK+U+qt7NagpU6ZMmfL2HKUc8O9RpkuWgR8Bnwa+A3zp3g5typQpU6a8FUfNcT8OfFcp9UUhxHngv7+3w5oyZcq9YpoiOf68qzogECulYgAhhK2UegU4d2+HNWXKlHvFnTt37tZyTzmeHGXGvSGEqAP/L/B1IUQP2Lq3w5oyZcq9YtqAc/w5SlXJbx7+9x8KIb4B1IA/PeofEELowNPAplLqq+9rlFOmTJky5S7vGLiFEBrwnFLqQfhJN5z3wD8AXgamdd9TptwHTGfax593zHErpSRwWQix+n5+uRBiGfjbwP/yfvafMmXKB8/UAef4c5Qc9wLwohDi+8Dk9ReP6PL+T4H/CnjbJh4hxO8AvwOwuvq+7g9Tpkx5D0wbcI4/RwncAfDG3LQA/vG77SSE+Cqwp5R6RgjxhbfbTin1z4B/BqUe9xHGM+VDRBYpeTwEKQEQmobhNSmzaFOmTPkoOJJ12U/ntoUQ7hH2ewr4dSHEr1J2XFaFEP+HUuq338c4p3zIFFlCNtomG2wS7l0jSydIYWI319DdOk59Ab++jBBTw98pUz5s3tYBRwjxnwD/KXASuP6GH1WAv3kvAfhwxv1fvltVydQB5/6gSEPizjWi3SvE4y7hpMdg7zpxfwuhGwQzp6mfehJn9hzV1hqeG3zUQ54y5eeV9+yA8/vA/wf8T8B/84bXR0qp7gc4sCn3EVk0INp/lfHGM+RFjlISN6jgtz4HhWJ0+xnSwU2GL+yjzv8KqdJoNZfw/WnR0HFhWsd9/HnbwK2UGgAD4N/9Wf+IUuqbwDd/1t8z5d6SDLcZ3vgWyXgXTbeR4R6a5aKZDqbpkKuQ5rkv0Hnxa8Sd68RX/oxWfZ7dUcC6407tyY4J08B9/JmuME0BIB3vMbz9PfJ4QLjzAqOty+jWGio9Q9KZJdoLMIzzmN4yC0/8NlZ1kUnnBuHW8wTFgNFk9FEfwpQpHxumgXsKSinC/atk4z26V76G23oCjV/6/9u79xg5q/OO49/nfeedmZ3d9e56vV7f40vNxTipIYZSSBAJlUqaKLRq2jRVU1RFyT+hgSpSSyNV+atSpVZJmipqRYEkbREJSagaVbQEEUJSkZJgwsXGGIwv8dpe39a73vvszDz9Y8bUmAXvruf1cPb9fayVZ8ezc57jHf985uw552V4b4HxkTxjS9YymO9n35kch0e7mIo2s/amuyiVepg6upPK6HGmx463uhsyR1rHHb45nccti9vM+Ekqk0MM7/sxXet/h5HX8kRtCdG113G4HHFstMrweIWJ6Sp2bIrezhm2blzD6us/y8Su7xCbMXzkRXqXbyDOFVrdHbkAhXb4FNxCZWqE8aMv0NZ7FVNDy+jdtorCsoTy6VfojSfY1leATWs5aUt5/tAEBw9P8eRLp7ly0+Vs3Xwr+UIn44eepzJxinjJqlZ3Ry5AG3DCp+AWauUJJk7upffKT1Fsb2fi8E84vmsHlbFB8PrKkqS9lyWrr+bWDe/j2IZ1PL1/glcPTVDcfA3b8mOUSl3MjJ+goOAWSZ2CWwCjtGIrbZ1FTv7sfsaH9uK1MrVKmVqtCu7MTI0yMXSQ0pHn6dv+x7x/zRpe6Gxj/6kZNnd10dXdj1dmWt0RkUxQcAsW5+jddAunfvYAU6f34tVpyLVR6FqLxTG1aoXymSNUp84wfvI1eOZf6XvfHbwrHqK65F0cHKuwpWMFVW2DD4KmSMKn4BaiQifl4QEmj+0i6V5F+9KN5IpLqI6fAq8BRrz2GsrjQ4wP7mT85F66BndCbinre7rZN55n6+rlaPd7GLSOO3wK7ozzWhVqVcb2/5T2tVeT71nHdHmaM91XMNqdUHWjGEHHxBHyYyfo2XgTY4MvcebAT1nxa59m35Fd9Ky8ETMjLvW0ujsyBwru8Cm4hVp5AkvaKPZv5UjSz8tjVfYfPMD45Gnca0RRQv/StVy26sNs4iSdUcTY4EsUcglDgy/zrnXXEluRYn4uZ4+JyMVScGecRTEWRxTXbGdPpZMf7d3J8Mgh3CtveNzBwycYONbGL9du4+berXQmbZhFTE6doTdXIbKYXKS5khBopB0+BbcQ5bsYLBpPPPsTRs689dW/q5VJXjnwNIX4Bm7puwKSIsV8ngIzYHophULBHT4tAxCqlvDC8ROMjA6cc+/so2f3Gi8deIbT+WVUKlXW9faTq06QtGt+OxRPPfXU65twJEwKbuHkjLPv2AEsygEG7o3Ynj28q5Uyu06dAovo7enHLEchpxG3yKWi4BaGp6cZnxomSkpYFNXz2h3DscYvGh9GRFzoYHDkOFMGxfZl5DpXtLgHItmiYZJQqVXBDKKYKN9JrTKJV6bBHXCwemRblCNKShDlmJ4ax5ISlitS7OxvdRdkHrQBJ3wKbqGULxDlilQmh7AoT5zvwHNteK2Me60e2nECFuPu1CqTdHQsJW/Q1rWSKNbLKCRaxx0+TZUIPcWEZT0r61e9qUxQq5axOE+UlIiTDiwp4RZTq1UAJ84V2bx8BfnKmVaXLgtw6NCh18NbwqTgFpaVOrhyxTriYhdRrg28SnV6BK/O4NQvJm0YUZTDohxd3avYsKSDiSMvkmvva3H1Itmj97hCLpdna/9yDgyt5dDxGrXyGF6t4LUK1GbAYsxioqRIvtjBtatWUBzaSefK95C0dbe6fJknTZGET8EtAKzo7OE3N2/mR7Gxb/Ag1cYZJlADi7A4T1tsXLuyj8vz07QXVlPo3YjpZKngKLjDp+AWAKIox5qeFXzospgj/X3sPDrA8eFT1CpTJLkcm3q62NDdTV+xSHu+k3zPOpJCR6vLlgXQFXDCp+CW18VRjuVdK+lpX8qGpcs4Mz5MrVYhMacU58jHBXLFbpK2bo20RVpIwS1vkuQKdHX009Wh9dki70QKbpGM0RRJ+LQcUCRjtI47fApukYxRcIdPwS0iEhjNcYtkjNZxh0/BLZIxCu7waapEJGN0BZzwKbhFRAKj4BYRCYzmuEUyRhtwwqcRt0jGaB13+BTcIhmj4A6fgltEJDCa4xbJGK3jDp+CWyRjFNzh01SJSMZoA074FNwiIoFRcIuIBEZz3CIZow044dOIWyRjtI47fApukYxRcIdPwS0iEhjNcYtkjNZxh0/BLZIxCu7waapEJGO0ASd8Cm4RkcAouEVEAqM5bpGM0Qac8KU24jaztWb2hJntNrNdZnZnWm2JyNxpHXf40hxxV4DPu/uzZtYJ7DCzx9z9pRTbFJELOBvaWl0SrtRG3O5+1N2fbdweBXYDq9NqT0QkKy7JHLeZrQeuBp6+FO2JyFvTSDt8qQe3mXUA3wPucvczs/z5Z4DPAKxbty7tckQyT8EdvlSXA5pZQj20H3D3h2d7jLvf4+7b3X17X19fmuWICNqAsxikuarEgPuA3e7+pbTaERHJmjRH3DcCnwQ+aGbPNT5+K8X2REQyIbU5bnf/H8DSen4RWRhtwAmftryLZIw24IRPwS2SMQru8Cm4RUQCo0OmRDJG67jDp+AWyRgFd/g0VSKSMdqAEz4Ft4hIYBTcIiKB0Ry3SMZoA074NOIWyRit4w6fglskYxTc4VNwi4gERnPcIhmjddzhU3CLZIyCO3yaKhHJGG3ACZ+CW0QkMApuEZHAaI5bJGO0ASd8GnGLZIzWcYdPwS2SMQru8Cm4RUQCozlukYzROu7wKbhFMkbBHT5NlYhkjDbghE/BLSISGAW3iEhgNMctkjHagBM+jbhFMkbruMOn4BbJGAV3+BTcIiKB0Ry3SMZoHXf4FNwiGaPgDp+mSkQyRhtwwqfgFhEJjIJbRCQwmuMWyRhtwAmfRtwiGaN13OFTcItkjII7fApuEZHAaI5bJGO0jjt8Cm6RjFFwh09TJSIZow044VNwi4gERsEtIhIYzXGLZIw24IRPI26RjNE67vBpxC2SMWdDeyGrS7xWZWbyNLXyGJWJ09SqM0RxQtzWTZzvICktxaK42SXLeRTcInJB7s7M2CATx15mamSA2szEmx4TJW0UlqymtPwK8ktWYqY39GlRcItkzHxH2rXKNBPH9zB29DlqM5Nv/biZSSZP7WV6ZID2le+mtHwLcVK82HJlFgpukYyZT3DXqmXGjjzP2NHnwWtz+5rKFKMDO6hVpulYdQ1xUlhoqfIW9F5GJGPmswFnaugAY0dfmHNov85rjA/uZGpo7wIqlAtRcIvIrGYmhhg9vAO8urAn8Bpjh59jZuxkcwsTBbeIzG56ZIDq1JmLeo5qeYyp4YNNqkjOSjW4zexWM9tjZnvN7O402xKRubnhhhsuuAmnOjPN1Kl9TWlvcmg/1fJ4U55L6lILbjOLga8BHwK2AJ8wsy1ptSciczOXDTi18hiV8lhT2quVx6mW37x8UBYuzRH3dcBed9/n7mXgW8BtKbYnInMwp+CulqnNTDWlvVplCq+Wm/JcUpdmcK8Gzn11DDTuewMz+4yZPWNmz5w4cSLFckRkfvwd+lySZnDbLPe96bvn7ve4+3Z3397X15diOSIC9XXcF1rLbVGMRUlT2rMoh0XaMtJMaf5tDgDnvjrWAEdSbE9E5mAuG3CiXBtxvkRlcvqi24uSElFOOyibKc0R98+BzWa2wczywB8A30+xPRGZg7lswIkLHeQ7VzSlvXzHcuJCR1OeS+pSC253rwB3AI8Cu4GH3H1XWu2JSPOYGW29v4LFFzddYlGOtr7NmippslT/Nt39EeCRNNsQkXQkHcsp9V3O+ODOBT9H27JNTRu5y//Tf4MiGTPXK+BEcY5S/1Zmxk9SHh2cdztJ+zLaV7yHKM7P+2vl7WnLu0jGzOcKOElbF13r30eh600red9WvrOfrg03kZSWLqREuQCNuEUyZr5XwEnae+naeDOTJ/Ywcfxlqm+zozJKSpT6LqO0fAu5YmczypVZKLhF5IJyhQ46Vl9NsWc95dGjTI8cpjI9Wj850GJyhU7yS1aRX7KSpK1Hly9LmYJbJGMWcq1JALOIpL2XpL2XUv9V1GYm8VoViyKipITZbHvuJA0KbpGMWWhwn8vMiPOlJlQjC6EfTopkzHyugCPvTApuEZHAKLhFRAJj7u+c4xbN7ASwkOscLQOycmG7rPQ1K/2E7PRV/Zy/k+5+6/l3vqOCe6HM7Bl3397qOi6FrPQ1K/2E7PRV/WweTZWIiARGwS0iEpjFEtz3tLqASygrfc1KPyE7fVU/m2RRzHGLiGTJYhlxi4hkhoJbRCQwwQe3md1qZnvMbK+Z3d3qetJgZmvN7Akz221mu8zszlbXlCYzi83sF2b2n62uJU1m1m1m3zWzlxvf219vdU1pMLM/a7xud5rZg2a2aK4cbGb3m9lxM9t5zn1LzewxM3u18XtPs9sNOrjNLAa+BnwI2AJ8wsy2tLaqVFSAz7v7lcD1wGcXaT/PupP6dUoXu78H/tvdrwB+lUXYZzNbDXwO2O7uW4GY+oXDF4tvAOdvkLkbeNzdNwOPNz5vqqCDG7gO2Ovu+9y9DHwLuK3FNTWdux9192cbt0ep/wOf3yVJAmFma4APA/e2upY0mdkS4CbgPgB3L7v7cGurSk0OaDOzHFACjrS4nqZx9x8DQ+fdfRvwzcbtbwK/3ex2Qw/u1cC512AaYJEG2llmth64Gni6tZWk5ivAnwO1VheSso3ACeDrjWmhe82svdVFNZu7Hwb+DvglcBQYcfcftLaq1PW7+1GoD7qA5c1uIPTgnu3k9kW7vtHMOoDvAXe5+5lW19NsZvYR4Li772h1LZdADrgG+Ed3vxoYJ4W31K3WmN+9DdgArALazeyPWltV+EIP7gHg3FPh17CI3oady8wS6qH9gLs/3Op6UnIj8FEzO0B92uuDZvZvrS0pNQPAgLuffef0XepBvtj8BrDf3U+4+wzwMDC3y8yH65iZrQRo/H682Q2EHtw/Bzab2QYzy1P/ocf3W1xT01n9mlD3Abvd/Uutrict7v6X7r7G3ddT/17+0N0X5ejM3QeBQ2Z2eeOuW4CXWlhSWn4JXG9mpcbr+BYW4Q9hz/N94PbG7duB/2h2A0FfuszdK2Z2B/Ao9Z9W3+/uu1pcVhpuBD4JvGhmzzXu+4K7P9LCmuTi/SnwQGPQsQ/4kxbX03Tu/rSZfRd4lvrqqF+wiLa+m9mDwM3AMjMbAL4I/A3wkJl9ivp/XL/X9Ha15V1EJCyhT5WIiGSOgltEJDAKbhGRwCi4RUQCo+AWEQmMgltkjszsG2b2scbtu8ys1OqaJJsU3CILcxf1A5NELjkFtywaZra+ca71PzfOf/6BmbWZ2TYz+18ze8HM/t3MeszsSjP72Xlf+0Lj9nvN7Ekz22Fmj57dvnzOYz9H/dyNJxrnpH/KzL58zp9/2swW7Q5XaT0Ftyw2m4GvuftVwDDwu8C/AH/h7u8BXgS+6O67gbyZbWx83cep73ZLgH8APubu7wXuB/763Abc/avUz8T5gLt/gPq5Kh9tfC3Ud0B+Pc1OSrYFveVdZBb73f3ssQA7gE1At7s/2bjvm8B3GrcfAn6f+hbljzc+Lge2Ao/Vj9Ygpn4c6Vty93Ez+yHwETPbDSTu/mLzuiTyRgpuWWymz7ldBbrf5rHfBr5jZg8D7u6vmtm7gV3uPt/LiN0LfAF4GY22JWWaKpHFbgQ4bWbvb3z+SeBJAHd/jXq4/xX1EAfYA/Sdvf6jmSVmdtUszzsKdJ79pHE861rgD4EHU+iHyOs04pYsuB34p8byvfNP4fs28LfUD/rH3cuNJX9fNbMu6v9GvgKcf+rkPcB/mdnRxjw31Kdetrn76fS6IqLTAUWapnFV+i+7++OtrkUWN02ViFwkM+s2s1eASYW2XAoacYuIBEYjbhGRwCi4RUQCo+AWEQmMgltEJDAKbhGRwPwfTDohe4kz7/YAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "party_colours = {'LP': 'blue', 'ALP': 'red', 'AG': 'green', 'Nat': 'brown', 'grey': 'grey', 'IND': 'purple'}\n",
    "\n",
    "# Use the 'hue' argument to provide a factor variable\n",
    "sns.relplot(x=\"novelty\", y=\"transience\", data=df, hue='party', alpha=0.5, #palette = party_colours,\n",
    "            size=\"resonance\", sizes = (40,400),\n",
    "            legend=False)\n",
    "\n",
    "plt.axvline(x = n_50, color=\".7\", dashes=(2, 1), zorder=0)\n",
    "plt.axhline(y = t_50, color=\".7\", dashes=(2, 1), zorder=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "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>date_time</th>\n",
       "      <th>chamber</th>\n",
       "      <th>parliament</th>\n",
       "      <th>session</th>\n",
       "      <th>period</th>\n",
       "      <th>page</th>\n",
       "      <th>name</th>\n",
       "      <th>name_id</th>\n",
       "      <th>party</th>\n",
       "      <th>in_gov</th>\n",
       "      <th>...</th>\n",
       "      <th>context</th>\n",
       "      <th>context_title</th>\n",
       "      <th>context_type</th>\n",
       "      <th>speech_type</th>\n",
       "      <th>probs</th>\n",
       "      <th>token_count</th>\n",
       "      <th>novelty</th>\n",
       "      <th>transience</th>\n",
       "      <th>resonance</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>248118</th>\n",
       "      <td>2013-06-28 15:28:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Singh, Sen Lisa</td>\n",
       "      <td>M0R</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>adjournment</td>\n",
       "      <td>adjournment</td>\n",
       "      <td>speech</td>\n",
       "      <td>[7.83e-06, 1.512e-05, 1.095e-05, 1.191e-05, 7....</td>\n",
       "      <td>1010</td>\n",
       "      <td>7.641134</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.641134</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216076</th>\n",
       "      <td>2011-08-16 19:55:00.000040</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Hogg, Sen John</td>\n",
       "      <td>7L6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions on notice</td>\n",
       "      <td>questions on notice</td>\n",
       "      <td>answer</td>\n",
       "      <td>[6.2e-07, 0.00200127, 8.7e-07, 9.5e-07, 0.0004...</td>\n",
       "      <td>16</td>\n",
       "      <td>9.067104</td>\n",
       "      <td>5.534966</td>\n",
       "      <td>3.532138</td>\n",
       "      <td>\\n\\nI will ask if the minister can tell me tod...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224441</th>\n",
       "      <td>2012-02-08 19:04:00.000044</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Emerson, Craig, MP</td>\n",
       "      <td>83V</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions in writing</td>\n",
       "      <td>questions in writing</td>\n",
       "      <td>answer</td>\n",
       "      <td>[1.03e-06, 0.00064366, 1.43e-06, 1.56e-06, 1e-...</td>\n",
       "      <td>236</td>\n",
       "      <td>9.145981</td>\n",
       "      <td>5.756947</td>\n",
       "      <td>3.389034</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220532</th>\n",
       "      <td>2011-10-12 17:42:00.000018</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Roxon, Nicola, MP</td>\n",
       "      <td>83K</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions in writing</td>\n",
       "      <td>questions in writing</td>\n",
       "      <td>answer</td>\n",
       "      <td>[1.72e-06, 0.00346297, 2.41e-06, 0.00865145, 1...</td>\n",
       "      <td>44</td>\n",
       "      <td>9.199883</td>\n",
       "      <td>5.953042</td>\n",
       "      <td>3.246842</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236627</th>\n",
       "      <td>2012-10-09 17:06:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>Farrell, Sen Don</td>\n",
       "      <td>I0N</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[1.17e-06, 0.00696926, 0.00245333, 1.79e-06, 1...</td>\n",
       "      <td>430</td>\n",
       "      <td>8.811691</td>\n",
       "      <td>5.636943</td>\n",
       "      <td>3.174748</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213024</th>\n",
       "      <td>2011-06-14 12:37:00.000001</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Farrell, Sen Don</td>\n",
       "      <td>I0N</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[5e-07, 0.00089072, 7.1e-07, 7.7e-07, 4.9e-07,...</td>\n",
       "      <td>207</td>\n",
       "      <td>8.412047</td>\n",
       "      <td>5.317458</td>\n",
       "      <td>3.094590</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238757</th>\n",
       "      <td>2012-11-20 23:54:00.000011</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>Ludwig, Sen Joe</td>\n",
       "      <td>84N</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions on notice</td>\n",
       "      <td>questions on notice</td>\n",
       "      <td>answer</td>\n",
       "      <td>[1.34e-06, 2.59e-06, 1.87e-06, 2.04e-06, 1.31e...</td>\n",
       "      <td>27</td>\n",
       "      <td>8.650373</td>\n",
       "      <td>5.677068</td>\n",
       "      <td>2.973306</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247215</th>\n",
       "      <td>2013-06-20 15:51:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Lundy, Sen Kate</td>\n",
       "      <td>7G6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[0.00289524, 0.00095891, 0.00490282, 7.8e-07, ...</td>\n",
       "      <td>483</td>\n",
       "      <td>8.819682</td>\n",
       "      <td>5.895424</td>\n",
       "      <td>2.924258</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246952</th>\n",
       "      <td>2013-06-19 17:14:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Lundy, Sen Kate</td>\n",
       "      <td>7G6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[1.23e-06, 2.37e-06, 0.00194673, 1.87e-06, 1.2...</td>\n",
       "      <td>36</td>\n",
       "      <td>8.722879</td>\n",
       "      <td>5.807593</td>\n",
       "      <td>2.915287</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219891</th>\n",
       "      <td>2011-09-22 15:44:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Wong, Sen Penny</td>\n",
       "      <td>00AOU</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[1.5e-06, 2.9e-06, 2.1e-06, 2.29e-06, 1.47e-06...</td>\n",
       "      <td>11</td>\n",
       "      <td>8.617035</td>\n",
       "      <td>5.761518</td>\n",
       "      <td>2.855517</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222191</th>\n",
       "      <td>2011-11-07 17:18:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>McLucas, Sen Jan</td>\n",
       "      <td>84L</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[1.02e-06, 0.00215567, 0.01617374, 1.55e-06, 9...</td>\n",
       "      <td>62</td>\n",
       "      <td>8.671429</td>\n",
       "      <td>5.818614</td>\n",
       "      <td>2.852815</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216736</th>\n",
       "      <td>2011-08-18 18:19:00.000028</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Ludwig, Sen Joe</td>\n",
       "      <td>84N</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions on notice</td>\n",
       "      <td>questions on notice</td>\n",
       "      <td>answer</td>\n",
       "      <td>[1.29e-06, 0.00479638, 1.81e-06, 1.97e-06, 1.2...</td>\n",
       "      <td>31</td>\n",
       "      <td>9.209429</td>\n",
       "      <td>6.371566</td>\n",
       "      <td>2.837862</td>\n",
       "      <td>\\n\\nMy question is to the Minister representin...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233413</th>\n",
       "      <td>2012-08-16 15:34:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>Wong, Sen Penny</td>\n",
       "      <td>00AOU</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[9e-07, 0.00193994, 0.00259182, 1.37e-06, 8.8e...</td>\n",
       "      <td>13</td>\n",
       "      <td>9.080436</td>\n",
       "      <td>6.263368</td>\n",
       "      <td>2.817068</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240136</th>\n",
       "      <td>2012-11-29 17:42:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>Wong, Sen Penny</td>\n",
       "      <td>00AOU</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[6e-07, 0.00367361, 0.00026088, 9.1e-07, 5.9e-...</td>\n",
       "      <td>18</td>\n",
       "      <td>9.184492</td>\n",
       "      <td>6.372791</td>\n",
       "      <td>2.811701</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226677</th>\n",
       "      <td>2012-03-13 16:53:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Ludwig, Sen Joe</td>\n",
       "      <td>84N</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[5.6e-07, 0.00138438, 7.9e-07, 8.5e-07, 5.5e-0...</td>\n",
       "      <td>22</td>\n",
       "      <td>8.515539</td>\n",
       "      <td>5.708133</td>\n",
       "      <td>2.807406</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220833</th>\n",
       "      <td>2011-10-13 16:09:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Sherry, Sen Nick</td>\n",
       "      <td>ZW4</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[1.12e-06, 0.00078852, 0.00660225, 0.01566477,...</td>\n",
       "      <td>15</td>\n",
       "      <td>8.788074</td>\n",
       "      <td>5.983056</td>\n",
       "      <td>2.805018</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214847</th>\n",
       "      <td>2011-06-23 15:28:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Wong, Sen Penny</td>\n",
       "      <td>00AOU</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>committees</td>\n",
       "      <td>committees</td>\n",
       "      <td>speech</td>\n",
       "      <td>[8.1e-07, 1.57e-06, 1.14e-06, 1.24e-06, 7.9e-0...</td>\n",
       "      <td>1044</td>\n",
       "      <td>8.885671</td>\n",
       "      <td>6.097623</td>\n",
       "      <td>2.788048</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248111</th>\n",
       "      <td>2013-06-28 15:14:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Lundy, Sen Kate</td>\n",
       "      <td>7G6</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[1.56e-06, 0.00183768, 2.19e-06, 2.38e-06, 1.5...</td>\n",
       "      <td>628</td>\n",
       "      <td>8.400408</td>\n",
       "      <td>5.642307</td>\n",
       "      <td>2.758101</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230523</th>\n",
       "      <td>2012-06-18 18:30:00.000000</td>\n",
       "      <td>Senate</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Wong, Sen Penny</td>\n",
       "      <td>00AOU</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>bills</td>\n",
       "      <td>bills</td>\n",
       "      <td>speech</td>\n",
       "      <td>[8.4e-07, 0.00272806, 1.18e-06, 1.28e-06, 8.3e...</td>\n",
       "      <td>724</td>\n",
       "      <td>8.018666</td>\n",
       "      <td>5.298236</td>\n",
       "      <td>2.720430</td>\n",
       "      <td>\\n            \\n              \\n            \\n...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224133</th>\n",
       "      <td>2012-02-07 22:29:00.000046</td>\n",
       "      <td>Reps</td>\n",
       "      <td>43</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Rudd, Kevin, MP</td>\n",
       "      <td>83T</td>\n",
       "      <td>ALP</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>debate</td>\n",
       "      <td>questions in writing</td>\n",
       "      <td>questions in writing</td>\n",
       "      <td>answer</td>\n",
       "      <td>[1.15e-06, 2.23e-06, 1.61e-06, 1.76e-06, 1.13e...</td>\n",
       "      <td>9</td>\n",
       "      <td>9.037434</td>\n",
       "      <td>6.353723</td>\n",
       "      <td>2.683711</td>\n",
       "      <td>\\n          \\n            \\n          \\n      ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        date_time chamber parliament session period  page  \\\n",
       "248118 2013-06-28 15:28:00.000000  Senate         43       1      9     0   \n",
       "216076 2011-08-16 19:55:00.000040  Senate         43       1      4     0   \n",
       "224441 2012-02-08 19:04:00.000044    Reps         43       1      5     0   \n",
       "220532 2011-10-12 17:42:00.000018    Reps         43       1      4     0   \n",
       "236627 2012-10-09 17:06:00.000000  Senate         43       1      7     0   \n",
       "213024 2011-06-14 12:37:00.000001  Senate         43       1      3     0   \n",
       "238757 2012-11-20 23:54:00.000011  Senate         43       1      7     0   \n",
       "247215 2013-06-20 15:51:00.000000  Senate         43       1      9     0   \n",
       "246952 2013-06-19 17:14:00.000000  Senate         43       1      9     0   \n",
       "219891 2011-09-22 15:44:00.000000  Senate         43       1      4     0   \n",
       "222191 2011-11-07 17:18:00.000000  Senate         43       1      4     0   \n",
       "216736 2011-08-18 18:19:00.000028  Senate         43       1      4     0   \n",
       "233413 2012-08-16 15:34:00.000000  Senate         43       1      7     0   \n",
       "240136 2012-11-29 17:42:00.000000  Senate         43       1      7     0   \n",
       "226677 2012-03-13 16:53:00.000000  Senate         43       1      5     0   \n",
       "220833 2011-10-13 16:09:00.000000  Senate         43       1      4     0   \n",
       "214847 2011-06-23 15:28:00.000000  Senate         43       1      3     0   \n",
       "248111 2013-06-28 15:14:00.000000  Senate         43       1      9     0   \n",
       "230523 2012-06-18 18:30:00.000000  Senate         43       1      6     0   \n",
       "224133 2012-02-07 22:29:00.000046    Reps         43       1      5     0   \n",
       "\n",
       "                      name name_id party  in_gov  ... context  \\\n",
       "248118     Singh, Sen Lisa     M0R   ALP   False  ...  debate   \n",
       "216076      Hogg, Sen John     7L6   ALP   False  ...  debate   \n",
       "224441  Emerson, Craig, MP     83V   ALP   False  ...  debate   \n",
       "220532   Roxon, Nicola, MP     83K   ALP   False  ...  debate   \n",
       "236627    Farrell, Sen Don     I0N   ALP   False  ...  debate   \n",
       "213024    Farrell, Sen Don     I0N   ALP   False  ...  debate   \n",
       "238757     Ludwig, Sen Joe     84N   ALP   False  ...  debate   \n",
       "247215     Lundy, Sen Kate     7G6   ALP   False  ...  debate   \n",
       "246952     Lundy, Sen Kate     7G6   ALP   False  ...  debate   \n",
       "219891     Wong, Sen Penny   00AOU   ALP   False  ...  debate   \n",
       "222191    McLucas, Sen Jan     84L   ALP   False  ...  debate   \n",
       "216736     Ludwig, Sen Joe     84N   ALP   False  ...  debate   \n",
       "233413     Wong, Sen Penny   00AOU   ALP   False  ...  debate   \n",
       "240136     Wong, Sen Penny   00AOU   ALP   False  ...  debate   \n",
       "226677     Ludwig, Sen Joe     84N   ALP   False  ...  debate   \n",
       "220833    Sherry, Sen Nick     ZW4   ALP   False  ...  debate   \n",
       "214847     Wong, Sen Penny   00AOU   ALP   False  ...  debate   \n",
       "248111     Lundy, Sen Kate     7G6   ALP   False  ...  debate   \n",
       "230523     Wong, Sen Penny   00AOU   ALP   False  ...  debate   \n",
       "224133     Rudd, Kevin, MP     83T   ALP   False  ...  debate   \n",
       "\n",
       "               context_title          context_type speech_type  \\\n",
       "248118           adjournment           adjournment      speech   \n",
       "216076   questions on notice   questions on notice      answer   \n",
       "224441  questions in writing  questions in writing      answer   \n",
       "220532  questions in writing  questions in writing      answer   \n",
       "236627            committees            committees      speech   \n",
       "213024                 bills                 bills      speech   \n",
       "238757   questions on notice   questions on notice      answer   \n",
       "247215            committees            committees      speech   \n",
       "246952                 bills                 bills      speech   \n",
       "219891            committees            committees      speech   \n",
       "222191            committees            committees      speech   \n",
       "216736   questions on notice   questions on notice      answer   \n",
       "233413            committees            committees      speech   \n",
       "240136            committees            committees      speech   \n",
       "226677            committees            committees      speech   \n",
       "220833            committees            committees      speech   \n",
       "214847            committees            committees      speech   \n",
       "248111                 bills                 bills      speech   \n",
       "230523                 bills                 bills      speech   \n",
       "224133  questions in writing  questions in writing      answer   \n",
       "\n",
       "                                                    probs token_count  \\\n",
       "248118  [7.83e-06, 1.512e-05, 1.095e-05, 1.191e-05, 7....        1010   \n",
       "216076  [6.2e-07, 0.00200127, 8.7e-07, 9.5e-07, 0.0004...          16   \n",
       "224441  [1.03e-06, 0.00064366, 1.43e-06, 1.56e-06, 1e-...         236   \n",
       "220532  [1.72e-06, 0.00346297, 2.41e-06, 0.00865145, 1...          44   \n",
       "236627  [1.17e-06, 0.00696926, 0.00245333, 1.79e-06, 1...         430   \n",
       "213024  [5e-07, 0.00089072, 7.1e-07, 7.7e-07, 4.9e-07,...         207   \n",
       "238757  [1.34e-06, 2.59e-06, 1.87e-06, 2.04e-06, 1.31e...          27   \n",
       "247215  [0.00289524, 0.00095891, 0.00490282, 7.8e-07, ...         483   \n",
       "246952  [1.23e-06, 2.37e-06, 0.00194673, 1.87e-06, 1.2...          36   \n",
       "219891  [1.5e-06, 2.9e-06, 2.1e-06, 2.29e-06, 1.47e-06...          11   \n",
       "222191  [1.02e-06, 0.00215567, 0.01617374, 1.55e-06, 9...          62   \n",
       "216736  [1.29e-06, 0.00479638, 1.81e-06, 1.97e-06, 1.2...          31   \n",
       "233413  [9e-07, 0.00193994, 0.00259182, 1.37e-06, 8.8e...          13   \n",
       "240136  [6e-07, 0.00367361, 0.00026088, 9.1e-07, 5.9e-...          18   \n",
       "226677  [5.6e-07, 0.00138438, 7.9e-07, 8.5e-07, 5.5e-0...          22   \n",
       "220833  [1.12e-06, 0.00078852, 0.00660225, 0.01566477,...          15   \n",
       "214847  [8.1e-07, 1.57e-06, 1.14e-06, 1.24e-06, 7.9e-0...        1044   \n",
       "248111  [1.56e-06, 0.00183768, 2.19e-06, 2.38e-06, 1.5...         628   \n",
       "230523  [8.4e-07, 0.00272806, 1.18e-06, 1.28e-06, 8.3e...         724   \n",
       "224133  [1.15e-06, 2.23e-06, 1.61e-06, 1.76e-06, 1.13e...           9   \n",
       "\n",
       "         novelty  transience  resonance  \\\n",
       "248118  7.641134    0.000000   7.641134   \n",
       "216076  9.067104    5.534966   3.532138   \n",
       "224441  9.145981    5.756947   3.389034   \n",
       "220532  9.199883    5.953042   3.246842   \n",
       "236627  8.811691    5.636943   3.174748   \n",
       "213024  8.412047    5.317458   3.094590   \n",
       "238757  8.650373    5.677068   2.973306   \n",
       "247215  8.819682    5.895424   2.924258   \n",
       "246952  8.722879    5.807593   2.915287   \n",
       "219891  8.617035    5.761518   2.855517   \n",
       "222191  8.671429    5.818614   2.852815   \n",
       "216736  9.209429    6.371566   2.837862   \n",
       "233413  9.080436    6.263368   2.817068   \n",
       "240136  9.184492    6.372791   2.811701   \n",
       "226677  8.515539    5.708133   2.807406   \n",
       "220833  8.788074    5.983056   2.805018   \n",
       "214847  8.885671    6.097623   2.788048   \n",
       "248111  8.400408    5.642307   2.758101   \n",
       "230523  8.018666    5.298236   2.720430   \n",
       "224133  9.037434    6.353723   2.683711   \n",
       "\n",
       "                                                     text  \n",
       "248118  \\n            \\n              \\n            \\n...  \n",
       "216076  \\n\\nI will ask if the minister can tell me tod...  \n",
       "224441  \\n          \\n            \\n          \\n      ...  \n",
       "220532  \\n          \\n            \\n          \\n      ...  \n",
       "236627  \\n          \\n            \\n          \\n      ...  \n",
       "213024  \\n          \\n            \\n          \\n      ...  \n",
       "238757  \\n          \\n            \\n          \\n      ...  \n",
       "247215  \\n            \\n              \\n            \\n...  \n",
       "246952  \\n          \\n            \\n          \\n      ...  \n",
       "219891  \\n          \\n            \\n          \\n      ...  \n",
       "222191  \\n          \\n            \\n          \\n      ...  \n",
       "216736  \\n\\nMy question is to the Minister representin...  \n",
       "233413  \\n          \\n            \\n          \\n      ...  \n",
       "240136  \\n            \\n              \\n            \\n...  \n",
       "226677  \\n          \\n            \\n          \\n      ...  \n",
       "220833  \\n            \\n              \\n            \\n...  \n",
       "214847  \\n            \\n              \\n            \\n...  \n",
       "248111  \\n          \\n            \\n          \\n      ...  \n",
       "230523  \\n            \\n              \\n            \\n...  \n",
       "224133  \\n          \\n            \\n          \\n      ...  \n",
       "\n",
       "[20 rows x 22 columns]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.nlargest(20, 'resonance')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2013-06-28 15:28:00 Singh, Sen Lisa ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  What we have here are some elements from those much more comprehensive reports and much more detailed and considered recommendations. What we have here is a diminished and partial set of proposalssome of them derived from the Convergence Review, some of them grabbed from remnants of the Finkelstein report and some of them plucked from somewhere else and bundled into this overarching but nonetheless diminished package. We have been working around the clock since the announcement was made that these bills would be tabled to understand how they would operate in the real world, quite practically, and how they can be improved. It has put enormous pressure on staffnot just ours but the coalition's and the crossbenchers' both here and in the other placecommittee secretaries and, most important to acknowledge, witnesses and people who gave evidence to these inquiries on the basis of a phone call and, in some instances, less than a day's notice.\n",
      "                \n",
      "                \n",
      "                  The Greens are on the record as supporting a much broader approach, and we should indeed go back to the rationale for the Convergence Review, which was to investigate proposals for a converged regulator. The whole reasonor one of the greater reasonsthat we are having this debate at all is that the media landscape is changing before our eyes in this so-called phenomenon of convergence whereby people are consuming news, current affairs, entertainment and content on a variety of platforms and some of the old ways are breaking down. In that context it makes very little sense to have one regulator looking after what is left of the print sector, one regulator looking after the broadcast sector and nobody really looking after what happens online. That appears to have been left by the side of the road \n",
      "2011-08-16 19:55:00.000040 Hogg, Sen John ALP \n",
      "\n",
      "I will ask if the minister can tell me today the answer to this question: is the minister aware of whether the government has estimated the number of applicants for the disaster recovery payment and, if so, what is the figure? Has the figure been revised since the flood tax was announced and, if so, by how much?\n",
      "\n",
      "\n",
      "2012-02-08 19:04:00.000044 Emerson, Craig, MP ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                In 2005, a memorial was unveiled at Pitman Park in the City of Salisbury in memory of the people who suffered or died from asbestos related illnesses. It was established by the Asbestos Victims Association of South Australia. Each year in November, a memorial service is held at the site and as part of the service a white wooden cross is placed in the ground adjacent to the memorial with the name of each of the people who have died because of asbestos since the Asbestos Victims Association began keeping records. Each year I attend the service; each year there are more white crosses in the ground.\n",
      "              \n",
      "              \n",
      "                In most cases, those who died did so from work related illness or family members who were indirectly exposed to the deadly asbestos fibres from the work clothes being brought home. Sadly, thousands more will die in the coming years even though, since 31 December 2003, it has been illegal in Australia to use, reuse or sell any products containing any form of asbestos. For many, it was too late. The fibres were in their bodies and they now face a slow and painful death from an insidious disease. What makes the issue more controversial is that asbestos continued to be used for well over 100 years after its dangers were first exposed. The owners of asbestos mines and those who manufactured asbestos products were not merely negligentthey knowingly promoted a dangerous product.\n",
      "              \n",
      "              \n",
      "                Thanks to the efforts of so many people around the world, the use of asbestos has now been banned in many countries. However, the asbestos fight is only the tip of the iceberg. Firstly, asbestos continues to be used in disadvantaged countries where people are poorly educated. Secondly, the asbestos story applies to many other commonly used products w\n",
      "2011-10-12 17:42:00.000018 Roxon, Nicola, MP ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator WONG\n",
      "                    (\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator WONG:\n",
      "                    It is interesting that the senator is so concerned about small business when her party is opposing a tax cut for small business. Let us be clear. Every time the Liberal Party come in here and argue about small business and pretend that they care about small business, they should be upfront with the Australian people that they must be the first coalition in decades who are actually arguing for higher taxation rates for Australian small business. So if she is worried about red tape and compliance I suggest that the senator might look at the economic lunacy of their position, which is about imposing higher taxes on this sector. But in relation to the initiative, I understand it is a payment reporting system designed to improve the tax compliance of businesses in this sector.  (Time expired) \n",
      "              \n",
      "            \n",
      "          \n",
      "          \n",
      "            \n",
      "              \n",
      "                5566\n",
      "                \n",
      "                Wong, Sen Penny\n",
      "                00AOU\n",
      "                \n",
      "                ALP\n",
      "                \n",
      "                \n",
      "              \n",
      "            \n",
      "            \n",
      "            \n",
      "          \n",
      "        \n",
      "2012-10-09 17:06:00 Farrell, Sen Don ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                In Tasmania we are especially pleased to have been chosen to provide services to young Tasmanians between the ages of 15 and 24 living with a disability. This support is uncapped and is expected to provide services for 1,000 young Tasmanians. This number includes those who already have access to disability services and will also extend to new clients. A launch focussing on this age group will enable support to be provided to individuals at critical transition points to enhance their independence and promote their participation in the community and in employment. Young Tasmanians living with a disability will be able to be assessed to receive individualised care and support packages and will have the power to make decisions about their care and support. This will include choosing their own service provider and getting assistance from local coordinators to help manage and deliver their support. This system will be easy to navigate and will link people with disabilities to mainstream services.\n",
      "              \n",
      "              \n",
      "                The NDIS recognises the many struggles and challenges that Australians living with a disability face to obtain what the rest of the community considers an ordinary life. For the first time, Australians with significant and permanent disability will receive care and support over their lifetime regardless of how they acquired their disability. The federal government is investing nearly $38 million to make the NDIS a reality in Tasmania. The Tasmanian government has committed to contributing up to an additional $2 million a year. This is an outstanding example of cooperation and collaboration at a state and federal level, demonstrating our national commitment to better outcomes for all Australians living with a disability.\n",
      "              \n",
      "              \n",
      "                Th\n",
      "2011-06-14 12:37:00.000001 Farrell, Sen Don ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD\n",
      "                    (News Breakfast saying that, if question time had proceeded yesterday, he had lots of questions on jobs. I thought stand-up comedy finished with the Leader of the Opposition!\n",
      "              \n",
      "              \n",
      "                \n",
      "                  Opposition members interjecting\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    Exactly! Come in, spinner! I thank the shadow Treasurer for confirming in this parliament that they do not care about\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    The SPEAKER:\n",
      "                    There is a requirement under the standing orders for the Prime Minister to be directly relevant to the question, and I will listen to the answer. There is also a requirement under the standing orders for members not to interrupt. I would suggest that they do thatthat the interjections ceaseand that the Prime Minister ignore the interjections. The Prime Minister will respond to the question.\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    I thank the shadow Treasurer for laying bare the political aspirations of the Liberal Party: all about themselves; they never cared anything about the jobs of the Australian people. And to the shadow minister who asked the question\n",
      "              \n",
      "              \n",
      "                \n",
      "                  Mr Pyne interjecting\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    Maybe, instead of screaming, he might like to listen to the answer.\n",
      "              \n",
      "              \n",
      "                \n",
      "                  Mr Pyne interjecting\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Ms GILLARD:\n",
      "                    No\n",
      "2012-11-20 23:54:00.000011 Ludwig, Sen Joe ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Wong:\n",
      "                    The Treasurer has provided the following answer to the honourable senator's question:\n",
      "              \n",
      "              \n",
      "                 (1)  All of the listed items were examined in the Housing Supply and Affordability Reform  (HSAR)  Working Party's Final Housing Supply and Affordability Reform Report  (the report) . The Council of Australian Governments  (COAG)  publicly released the report on 30 August 2012.\n",
      "              \n",
      "              \n",
      "                 (2)  All of the listed items were examined in the report. COAG publicly released the report on 30 August 2012.\n",
      "              \n",
      "              \n",
      "                 (3)  COAG has agreed to the report's recommendations.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2013-06-20 15:51:00 Lundy, Sen Kate ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  It might surprise many people listening today that this type of activity even happens here in Australia because we are the lucky country. We do have the rule of law. We do ensure that we look after those who are vulnerable in our community and do what we can to ensure people are not exploited. Many people are shocked at the idea that sexual slavery, the slavery of individuals, even happens here on Australian soil. But the sad fact is it does. The inquiry into this legislation brought out that it is often occurring to those who are so vulnerable that it is kept silent.\n",
      "                \n",
      "                \n",
      "                  One of the key problems in this issue is that we just do not know how many people are actually affected. There are NGOs and community based organisations that try and keep their finger on how many people access their services. Project Respect, for example, based out of Melbourne, helped over 900 victims of sexual slavery in the 2011-12 year alone. But there is no hard data as to how many people, and women in particular, are trafficked into Australia for the purpose of sexual slavery.\n",
      "                \n",
      "                \n",
      "                  One of the recommendations made during the inquiry into this legislation was that we actually fund proper research into the demand for trafficked persons so we can keep a closer eye on just how many individuals and human lives are being destroyed and exploited through these means. To do that we would need adequate funding and partnerships resourced between academic institutions and other groups as well as, of course, government agencies managed by both state and federal government for policing and border patrol so that we can keep check on how many women are being affected by this awful hideous crime, which, I would argue, is a crim\n",
      "2013-06-19 17:14:00 Lundy, Sen Kate ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Johnston\n",
      "                   asked the Minister representing the Minister for Defence Materiel, upon notice, on 26 November 2012:\n",
      "              \n",
      "              \n",
      "                With reference to the major project Bridging Air Combat Capability AIR 5349 Phase 2, can the following details be provided:\n",
      "              \n",
      "              \n",
      "                 (a)  the date of the first date for first pass approval;\n",
      "              \n",
      "              \n",
      "                 (b)  the date of the first estimated date, time period, for second pass approval;\n",
      "              \n",
      "              \n",
      "                 (c)  the date of first pass approval;\n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (d)  the date of second pass approval;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (e)  the estimated acquisition cost when first proposed to Government;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (f)  the current estimated acquisition cost;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (g)  the date of estimated initial operational capa\n",
      "                  bility when first proposed to \n",
      "                  Government;\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (h)  the current date of estimated initial operational capability; and\n",
      "                \n",
      "              \n",
      "              \n",
      "                \n",
      "                  \n",
      "                   (i)  the reason (s)  for the delay in this project, if applicable.\n",
      "                \n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2011-09-22 15:44:00 Wong, Sen Penny ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Johnston\n",
      "                    asked the Minister representing the Minister for Defence, upon notice, on 5 July 2011:\n",
      "              \n",
      "              \n",
      "                For the period 1 January to 30 June 2011:  (a)  what 'First Pass' Project approvals; and  (b)  what 'Second Pass' Project approvals, have been made.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2011-11-07 17:18:00 McLucas, Sen Jan ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                That the Senate\n",
      "              \n",
      "              \n",
      "                 (a) notes that:\n",
      "              \n",
      "              \n",
      "                 (i) 23 300 nuclear weapons are in existence posing direct and constant threat to international peace and security with thousands on hair trigger alert ready to be launched within minutes of an order to fire,\n",
      "              \n",
      "              \n",
      "                 (ii) nine countries possess nuclear weapons and under 'nuclear sharing' arrangements five others have nuclear weapons on their soil, and\n",
      "              \n",
      "              \n",
      "                 (iii) at the height of the cold war, nuclear weapon stockpiles were approximately 70 000 warheads and more than 40 000 have been dismantled;\n",
      "              \n",
      "              \n",
      "                 (b) welcomes efforts taken by the Government to advance nuclear disarmament diplomacy, including the establishment of the International Commission on Nuclear Non-proliferation and Disarmament and the request for the Joint Standing Committee on Treaties to undertake an inquiry into the nuclear non-proliferation and disarmament treaties involving Australia; and\n",
      "              \n",
      "              \n",
      "                 (c) calls on the Government to support the United Nations General Assembly resolution on the Advisory Opinion of the International Court of Justice on the Legality of the Threat or Use of Nuclear Weapons.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2011-08-18 18:19:00.000028 Ludwig, Sen Joe ALP \n",
      "\n",
      "My question is to the Minister representing the Minister for Families, Housing, Community Services and Indigenous Affairs, Senator Arbib. I ask today about alcohol related harm and abuse in Alice Springs. Firstly, is it true that there has in fact been a decrease in the incidence of violent crime in Alice Springs since the introduction of alcohol supply reduction measures in 2006? Secondly, what changes have there been in alcohol related hospital admissions since the introduction of those initial alcohol supply reduction measures?\n",
      "\n",
      "\n",
      "2012-08-16 15:34:00 Wong, Sen Penny ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Senator Bob Brown\n",
      "                    asked the Minister representing the Minister for Immigration and Citizenship, upon notice, on 2 February 2012:\n",
      "              \n",
      "              \n",
      "                With reference to the answer provided to question on notice no. 1211  (Senate Hansard, 2 November 2011, p. 8072) , what was the 'new or improved technology or business skills' introduced to Australia by Ta Ann Tasmania Pty Ltd.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2012-11-29 17:42:00 Wong, Sen Penny ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                      Senator WONG:\n",
      "                      I thought I should get that on the Hansard. But I mightthrough you, Mr Chairmansuggest that, if we could put a number of questions on notice, I am sure the minister, who is arriving now, will be able to respond.\n",
      "                \n",
      "                \n",
      "                  \n",
      "                    The CHAIRMAN:  I will call Senator Nash while Senator Ludwig is moving to his seat.\n",
      "                \n",
      "              \n",
      "            \n",
      "            \n",
      "              \n",
      "                \n",
      "                  10266\n",
      "                  \n",
      "                  Wong, Sen Penny\n",
      "                  00AOU\n",
      "                  \n",
      "                  ALP\n",
      "                  \n",
      "                  \n",
      "                \n",
      "              \n",
      "              \n",
      "              \n",
      "            \n",
      "            \n",
      "2012-03-13 16:53:00 Ludwig, Sen Joe ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                The idea is to bring together the researchers and clinicians, but the centre will very much have a patient focus. It also has had a connection with Lance Armstrong, who visited during the early dedication ceremonies for the centre, and who has agreed for the LIVESTRONG name to be given to one of the research wings. It was a good day for the electorate.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n",
      "2011-10-13 16:09:00 Sherry, Sen Nick ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        I move:\n",
      "                \n",
      "                \n",
      "                  That the Legal and Constitutional Affairs Legislation Committee be authorised to hold a public meeting during the sitting of the Senate on Tuesday, 13 September 2011, from 5.30 pm, to take evidence for the committee's inquiry into the provisions of the Trade Marks Amendment  (Tobacco Plain Packaging)  Bill 2011.\n",
      "                \n",
      "                \n",
      "                  Question agreed to.\n",
      "                \n",
      "              \n",
      "            \n",
      "          \n",
      "2011-06-23 15:28:00 Wong, Sen Penny ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  That this bill be now read a second time.\n",
      "                \n",
      "                \n",
      "                  I am introducing this bill because the parliament should pass laws which are optimistic, positive and constructive about Australia's future.\n",
      "                \n",
      "                \n",
      "                  It proposes to increase the superannuation guarantee charge from nine percent to 12 percent.\n",
      "                \n",
      "                \n",
      "                  And this bill abolishes the superannuation guarantee age limit.\n",
      "                \n",
      "                \n",
      "                  This bill passes the test of being optimistic, positive and constructive.\n",
      "                \n",
      "                \n",
      "                  We are living longer than ever before. Australians are reorganising their lives to adapt to longer life. So we should change our laws to move with the new rhythms of life.\n",
      "                \n",
      "                \n",
      "                  Those of us over 65 now are only three million in number, but by 2050 there will be 8.1 million.\n",
      "                \n",
      "                \n",
      "                  Today there are 50 of us in work for every 10 of us in retirement. By 2050, there will be 27 of us in work for every 10 of us in retirement.\n",
      "                \n",
      "                \n",
      "                  These days we are probably at school, or in an apprenticeship, or in university or in learning until we are 20 or 25.\n",
      "                \n",
      "                \n",
      "                  We then work for 35 years, and after that we have another 20 or even 30 years to think about things, play bowls, go fishing, join reading groups, write family histories and the rest of it. Thirty years, perhaps. Forty, maybe.\n",
      "                \n",
      "                \n",
      "                  Life itself, our life in the best country on earth, has been redefined by these new unchangeable figures of a long and l\n",
      "2013-06-28 15:14:00 Lundy, Sen Kate ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                      (\n",
      "              \n",
      "              \n",
      "                Here they are, seeking to further restrict the opportunity of the opposition to make contributions in this debate. The simple fact is: so indecent was the Manager of Government Business in the Senate in her haste to move the guillotine motion that she forgot the dinner break. We on this side are willing to forgo a dinner break to allow further ventilation of the vital issues confronting this nation. I am sure the Greens alliance partners will help debate this in a manner that will allow a dinner break and, as a result, cut the time even further. But each and every time, when the Green-Labor alliance in this place uses its numbers in such a ruthless and arrogant manner, we will remind the Australian people, day after day until 14 September, to ensure that they know that the coalition are the best people to manage and hold the Senate. \n",
      "              \n",
      "              \n",
      "                Make no mistake: the ruthlessness, the arrogance of the Australian Greens and the Labor Party, in just ramming stuff through this place, is such that they do not deserve to be entrusted by the Australian people with the privilege that they have been given by having the numbers in this place. \n",
      "              \n",
      "              \n",
      "                You would have thought they might have learnt from their past mistakes. Who were the parties that guillotined the disastrous mining tax through the Senate? They knew it all. They did not need opposition input into the legislation. They knew it all. Of course, how is that going now for them? Not so flash. What about the carbon tax legislation they guillotined? It is not going so flash either, is it? Both of them are not collecting half the money that they thought they would. But what did they do in typical Green-Labor alliance style? Ensure that all the money predicated was spent in advance b\n",
      "2012-06-18 18:30:00 Wong, Sen Penny ALP \n",
      "            \n",
      "              \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    \n",
      "                        (\n",
      "                \n",
      "                \n",
      "                  As we all know, the not-for-profit sector is an invaluable part of the Australian community. We rely on not-for-profit organisations to deliver many, many programs and services. I see it every day in the community of Canberra. The sector is the backbone of so much community activity, especially in areas such as health, social inclusion and welfare. In every community, the work of not-for-profit groups is part of the fabric of our society.\n",
      "                \n",
      "                \n",
      "                  As I mentioned, in my electorate of Canberra I meet every day with not-for-profit organisations through a variety of means and I meet with many, many volunteers who work in the sector. Canberra has one of the highest volunteering rates in Australia. We are very proud of that. People are constantly amazed at the quality of the volunteers we have here, their levels of education and the skill sets that they bring to their volunteering roles. I am always amazed at the commitment and passion that the volunteers bring to whatever organisation they are involved in. Many are involved in many organisations in addition to looking after the grandkids and also taking some time out to do U3A.\n",
      "                \n",
      "                \n",
      "                  So we are blessed in the quality and the skill sets of the volunteers we have in Canberra, which is why I want to draw Canberrans' attention to the National Volunteer Awards that are now open. These awards recognise the contribution of over six million Australians who volunteer in communities across the country. The awards now include a senior volunteer category to acknowledge the invaluable contribution that older Australians make to our community. I particularly note that there are a number of older Canberrans who are out volunteering in the community and doing al\n",
      "2012-02-07 22:29:00.000046 Rudd, Kevin, MP ALP \n",
      "          \n",
      "            \n",
      "          \n",
      "            \n",
      "              \n",
      "                \n",
      "                  \n",
      "                    Mr Albanese:\n",
      "                   The Minister for Broadband, Communications and the Digital Economy has provided the following answer to the honourable member's question:\n",
      "              \n",
      "              \n",
      "                Please refer to the answer to Senate Question on Notice 119, Budget Estimates Hearings, May 2011.\n",
      "              \n",
      "            \n",
      "          \n",
      "        \n"
     ]
    }
   ],
   "source": [
    "# top twenties\n",
    "\n",
    "for idx,row in df.nlargest(20, 'resonance').iterrows():\n",
    "    print(row['date_time'], row['name'], row['party'], row['text'][:2000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "colab": {
   "collapsed_sections": [],
   "name": "Resonance, distance and direction in N vs T space.ipynb",
   "provenance": []
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   "display_name": "Python 3",
   "language": "python",
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