Party Similarity.ipynb

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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Party similarity by vote adherence to party lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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    "%matplotlib inline\n",
    "from matplotlib.projections.polar import PolarAxes\n",
    "from matplotlib.projections import register_projection\n",
    "from IPython.display import display\n",
    "from elections import models as election_models\n",
    "from parliaments import models as parliament_models\n",
    "from proceedings import models as proceeding_models\n",
    "from django_extensions.db.fields.json import JSONDict\n",
    "from collections import OrderedDict\n",
    "from federal_common.sources import EN, FR\n",
    "from django.db.models.base import ModelBase\n",
    "from IPython.display import HTML\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.ticker as ticker\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.patches as patches\n",
    "import math\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "def columns_reorder_left(dataframe, columns):\n",
    "    unmentioned = [column for column in dataframe.columns if column not in columns]\n",
    "    dataframe = dataframe[columns + unmentioned]\n",
    "    return dataframe\n",
    "\n",
    "def columns_reorder_after(dataframe, pairs):\n",
    "    columns = list(dataframe.columns)\n",
    "    for left, right in pairs.items():\n",
    "        columns.remove(right)\n",
    "        columns.insert(columns.index(left) + 1, right)\n",
    "    return dataframe[columns]\n",
    "\n",
    "dataframe_json_mapper = {\n",
    "    \"government_party\": \"Library of Parliament, History of Federal Ridings\",\n",
    "    \"party\": \"Library of Parliament, History of Federal Ridings\",\n",
    "    \"province\": \"Library of Parliament, Province / Territory File\",\n",
    "    \"riding\": \"Library of Parliament, History of Federal Ridings\",\n",
    "    \"parliamentarian\": \"Library of Parliament, Parliament File\",\n",
    "}\n",
    "\n",
    "def get_dataframe(qs, mapping, index=None):\n",
    "    mapping = OrderedDict(mapping)\n",
    "    qs = qs.objects.all() if isinstance(qs, ModelBase) else qs\n",
    "    dataframe = pd.DataFrame(\n",
    "        {\n",
    "            k: v.get(EN, {}).get(dataframe_json_mapper[k.split(\"__\")[-2]], \"\") if isinstance(v, dict) else v\n",
    "            for k, v in row_dict.items()\n",
    "        }\n",
    "        for row_dict in qs.values(*[\n",
    "            key[0] if isinstance(key, tuple) else key\n",
    "            for key in mapping.keys()\n",
    "        ])\n",
    "    )\n",
    "    dataframe = columns_reorder_left(dataframe, list(mapping.keys()))\n",
    "    dataframe.rename(columns=mapping, inplace=True)\n",
    "    if index:\n",
    "        dataframe = dataframe.set_index(index)\n",
    "    dataframe = dataframe.sort_index()\n",
    "    return dataframe\n",
    "\n",
    "def select_by_index(dataframe, indexes):\n",
    "    indexer = [slice(None)] * len(dataframe.index.names)\n",
    "    for key, value in indexes.items():\n",
    "        indexer[dataframe.index.names.index(key)] = value\n",
    "    if len(indexer) > 1:\n",
    "        return dataframe.loc[tuple(indexer), :]\n",
    "    else:\n",
    "        return dataframe.loc[tuple(indexer)]\n",
    "\n",
    "def radar_factory(num_vars, frame='circle'):\n",
    "    \"\"\"Create a radar chart with `num_vars` axes.\"\"\"\n",
    "    # calculate evenly-spaced axis angles\n",
    "    theta = 2 * np.pi * np.linspace(0, 1 - 1. / num_vars, num_vars)\n",
    "    # rotate theta such that the first axis is at the top\n",
    "    theta += np.pi / 2\n",
    "\n",
    "    def draw_poly_frame(self, x0, y0, r):\n",
    "        # TODO: use transforms to convert (x, y) to (r, theta)\n",
    "        verts = [(r * np.cos(t) + x0, r * np.sin(t) + y0) for t in theta]\n",
    "        return plt.Polygon(verts, closed=True, edgecolor='k')\n",
    "\n",
    "    def draw_circle_frame(self, x0, y0, r):\n",
    "        return plt.Circle((x0, y0), r)\n",
    "\n",
    "    frame_dict = {'polygon': draw_poly_frame, 'circle': draw_circle_frame}\n",
    "    if frame not in frame_dict:\n",
    "        raise ValueError('unknown value for `frame`: %s' % frame)\n",
    "\n",
    "    class RadarAxes(PolarAxes):\n",
    "        \"\"\"Class for creating a radar chart (a.k.a. a spider or star chart)\n",
    "        http://en.wikipedia.org/wiki/Radar_chart\n",
    "        \"\"\"\n",
    "        name = 'radar'\n",
    "        # use 1 line segment to connect specified points\n",
    "        RESOLUTION = 1\n",
    "        # define draw_frame method\n",
    "        draw_frame = frame_dict[frame]\n",
    "\n",
    "        def fill(self, *args, **kwargs):\n",
    "            \"\"\"Override fill so that line is closed by default\"\"\"\n",
    "            closed = kwargs.pop('closed', True)\n",
    "            return super(RadarAxes, self).fill(closed=closed, *args, **kwargs)\n",
    "\n",
    "        def plot(self, *args, **kwargs):\n",
    "            \"\"\"Override plot so that line is closed by default\"\"\"\n",
    "            lines = super(RadarAxes, self).plot(*args, **kwargs)\n",
    "            for line in lines:\n",
    "                self._close_line(line)\n",
    "\n",
    "        def _close_line(self, line):\n",
    "            x, y = line.get_data()\n",
    "            # FIXME: markers at x[0], y[0] get doubled-up\n",
    "            if x[0] != x[-1]:\n",
    "                x = np.concatenate((x, [x[0]]))\n",
    "                y = np.concatenate((y, [y[0]]))\n",
    "                line.set_data(x, y)\n",
    "\n",
    "        def set_varlabels(self, labels):\n",
    "            self.set_thetagrids(theta * 180 / np.pi, labels)\n",
    "\n",
    "        def _gen_axes_patch(self):\n",
    "            x0, y0 = (0.5, 0.5)\n",
    "            r = 0.5\n",
    "            return self.draw_frame(x0, y0, r)\n",
    "\n",
    "    register_projection(RadarAxes)\n",
    "    return theta\n",
    "\n",
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   "cell_type": "code",
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   "source": [
    "elections = get_dataframe(election_models.GeneralElection, {\n",
    "    \"number\": \"Election\",\n",
    "    \"date\": \"Date\",\n",
    "    \"population\": \"Population\",\n",
    "    \"registered\": \"Registered\",\n",
    "    \"ballots_total\": \"Ballots (Total)\",\n",
    "    \"parliament__seats\": \"Seats\",\n",
    "    \"parliament__government_party__names\": \"Party\",\n",
    "}, [\"Election\"])\n",
    "elections['Date'] = pd.to_datetime(elections['Date'])  # TODO: Why isn't this happening automatically?\n",
    "ridings = get_dataframe(election_models.ElectionRiding.objects.filter(general_election__isnull=False), {\n",
    "    \"general_election__number\": \"Election\",\n",
    "    \"general_election__date\": \"Election: Date\",\n",
    "    \"riding__province__names\": \"Province\",\n",
    "    \"riding__names\": \"Riding\",\n",
    "    \"population\": \"Population\",\n",
    "    \"registered\": \"Registered\",\n",
    "    \"ballots_rejected\": \"Ballots (Rejected)\"\n",
    "}, [\"Election\", \"Province\", \"Riding\"])\n",
    "ridings['Election: Date'] = pd.to_datetime(ridings['Election: Date'])\n",
    "candidates = get_dataframe(election_models.ElectionCandidate.objects.filter(election_riding__general_election__isnull=False), {\n",
    "    \"election_riding__general_election__number\": \"Election\",\n",
    "    \"election_riding__general_election__date\": \"Election: Date\",\n",
    "    \"election_riding__riding__province__names\": \"Province\",\n",
    "    \"election_riding__riding__names\": \"Riding\",\n",
    "    \"name\": \"Candidate\",\n",
    "    \"party__names\": \"Party\",\n",
    "    \"party__color\": \"Party: Color\",\n",
    "    \"election_riding__population\": \"Riding: Population\",\n",
    "    \"election_riding__registered\": \"Riding: Registered\",\n",
    "    \"ballots\": \"Ballots\",\n",
    "    \"elected\": \"Elected\",\n",
    "    \"acclaimed\": \"Acclaimed\",\n",
    "}, [\"Election\", \"Province\", \"Riding\", \"Candidate\"])\n",
    "candidates['Election: Date'] = pd.to_datetime(candidates['Election: Date'])\n",
    "house_vote_participants = get_dataframe(proceeding_models.HouseVoteParticipant.objects.all(), {\n",
    "    \"house_vote__sitting__session__parliament__number\": \"Parliament\",\n",
    "    \"house_vote__sitting__session__number\": \"Session\",\n",
    "    \"house_vote__sitting__number\": \"Sitting\",\n",
    "    \"house_vote__number\": \"Vote\",\n",
    "    \"party__names\": \"Party\",\n",
    "    \"parliamentarian__names\": \"Parliamentarian\",\n",
    "    \"recorded_vote\": \"Parliamentarian: Vote\",\n",
    "}, [\"Parliament\", \"Session\", \"Sitting\", \"Vote\", \"Party\", \"Parliamentarian\"])\n",
    "house_vote_participants = house_vote_participants.reset_index().fillna(\"Independent\").set_index(house_vote_participants.index.names)\n",
    "\n",
    "# Some ridings historically had two seats (Halifax, Victoria, etc). For the purposes of\n",
    "# calculating voter turnout, we need to define a fractional ballot where a voter's single\n",
    "# ballot is split in half between two candidates.\n",
    "ridings = ridings.join(candidates[candidates[\"Elected\"] | candidates[\"Acclaimed\"]].reset_index().groupby(ridings.index.names)[\"Candidate\"].count().to_frame())\n",
    "ridings = ridings.rename(columns={\"Candidate\": \"Seats\"})\n",
    "candidates = candidates.reset_index().set_index(ridings.index.names).join(ridings[\"Seats\"]).reset_index().set_index(candidates.index.names)\n",
    "candidates[\"Ballots (Fractional)\"] = candidates[\"Ballots\"] / candidates[\"Seats\"]\n",
    "del candidates[\"Seats\"]\n",
    "\n",
    "parties = candidates.reset_index().groupby([\"Election\", \"Party\"]).agg({\n",
    "    \"Election: Date\": \"first\",\n",
    "    'Candidate': 'count',\n",
    "    'Ballots (Fractional)': 'sum',\n",
    "    'Elected': 'sum',\n",
    "    'Acclaimed': 'sum',\n",
    "    'Party: Color': 'first',\n",
    "}).rename(columns={\n",
    "    'Candidate': 'Candidates',\n",
    "    'Ballots (Fractional)': 'Ballots',\n",
    "    \"Party: Color\": \"Color\",\n",
    "})\n",
    "parties[\"Seats\"] = parties[\"Elected\"] + parties[\"Acclaimed\"]\n",
    "del parties[\"Elected\"]\n",
    "del parties[\"Acclaimed\"]\n",
    "\n",
    "# Augment elections with winning party data\n",
    "elections = elections.reset_index().set_index(parties.index.names).join(parties, rsuffix=\" (Party)\").reset_index().set_index(elections.index.names).rename(columns={\n",
    "    'Candidates': 'Party: Candidates',\n",
    "    'Ballots': 'Party: Ballots',\n",
    "    'Color': 'Party: Color',\n",
    "    'Seats (Party)': \"Party: Seats\",\n",
    "})\n",
    "del elections[\"Election: Date\"]\n",
    "elections = columns_reorder_after(elections, {\n",
    "    \"Seats\": \"Party\",\n",
    "})\n",
    "\n",
    "# Copy valid ballots per candidate up to the ridings level\n",
    "ridings = ridings.join(candidates.reset_index().groupby(ridings.index.names)[\"Ballots (Fractional)\"].sum().to_frame())\n",
    "ridings = ridings.rename(columns={\"Ballots (Fractional)\": \"Ballots (Valid)\"})\n",
    "ridings = columns_reorder_after(ridings, {\"Ballots (Valid)\": \"Ballots (Rejected)\"})\n",
    "\n",
    "# Copy winning candidate up to the ridings level\n",
    "ridings_winning_parties = candidates[candidates[\"Elected\"] == True].reset_index().set_index(ridings.index.names)\n",
    "ridings = ridings.join(ridings_winning_parties[[\"Candidate\", \"Party\", \"Party: Color\", \"Ballots\"]])\n",
    "ridings = ridings.rename(columns={\n",
    "    \"Candidate\": \"Elected: Name\",\n",
    "    \"Ballots\": \"Elected: Ballots\",\n",
    "    \"Party\": \"Elected: Party\",\n",
    "    \"Color\": \"Elected: Color\",\n",
    "})\n",
    "\n",
    "# Copy valid ballots per riding back down to the ridings level\n",
    "candidates = candidates.reset_index().set_index(ridings.index.names).join(\n",
    "    ridings.reset_index().groupby(ridings.index.names).agg({\"Ballots (Valid)\": \"first\"})\n",
    ").reset_index().set_index(candidates.index.names)\n",
    "candidates = columns_reorder_after(candidates, {\"Riding: Registered\": \"Ballots (Valid)\"})\n",
    "candidates = candidates.rename(columns={\n",
    "    \"Ballots (Valid)\": \"Riding: Ballots (Valid)\",\n",
    "})\n",
    "\n",
    "# Copy valid ballots per riding up to the elections level\n",
    "elections_ballot_sums = ridings.reset_index().groupby(ridings.index.names).agg({\"Ballots (Valid)\": \"first\"}).reset_index().groupby([\"Election\"])[\"Ballots (Valid)\"].sum().to_frame()\n",
    "elections = elections.join(elections_ballot_sums)\n",
    "elections = columns_reorder_after(elections, {\"Ballots (Total)\": \"Ballots (Valid)\"})\n",
    "\n",
    "# Augment parties with election level data\n",
    "elections[\"Party: Ballot %\"] = elections[\"Party: Ballots\"] / elections[\"Ballots (Valid)\"]\n",
    "elections[\"Party: Seat %\"] = elections[\"Party: Seats\"] / elections[\"Seats\"]\n",
    "parties[\"Seat %\"] = parties[\"Seats\"] / elections[\"Seats\"]\n",
    "parties[\"Vote %\"] = parties[\"Ballots\"] / elections[\"Ballots (Valid)\"]\n",
    "parties[\"Seat % - Vote %\"] = parties[\"Seat %\"] - parties[\"Vote %\"]\n",
    "parties[\"Seat % / Vote %\"] = parties[\"Seat %\"] / parties[\"Vote %\"]\n",
    "candidates[\"Ballot %\"] = candidates[\"Ballots\"] / candidates[\"Riding: Ballots (Valid)\"]\n",
    "\n",
    "display_toggler(\"Click to toggle the display the data initialization\")"
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Which parliamentarians stray from or adhere to party lines the most?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
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    {
     "data": {
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6UFya27clHHrFhxg12465PfkMVkoBzvjzAGjy72Bj+FU0BaMsD9XuECuLf0C4\nZv0xj3fGLiSy8JuobrTW15wY3jWPoFdt7dPXcrQbCuMYbdpBbQu62OWXt4nhSCloaAgRjcqSJjE4\nyCuNGDaiUYuGhpBUkgoAHAfeqm3fc/SCzDiuvrzqxQJ4tj7Z4bpRhUbsnK8DEI83sa7yV1g6nGVe\nyg0L/8gp2iz8bpt36x/Hf+hvx+xdrzKKCF/8MI7h7fJSNBSeD3+PeeitPnxBR51Tg1tGty1yglV+\nF6UReasYrvz+MOGwbBIiBp68yohhIRKJ4/efmO0WxdD0foNJTLVGxxTdYVpaH5ZxKIVn1cOdrhuN\nzv9/YLhRSrHl0I/wmzFOiY+jaPzN6LrBrIn3cJrvcqKG4l37Vap3/QzsozpAuLxELnkIO62oy0vS\nAPfeF3HveBZU/yxRcRlwXX77dlCv1biojUmP0uEqEIgQDMo2ymJgSSAVQ14olOixJ0RSbRT2hQza\nTtVfm9e31l+unX/FiDUec3vyGezs6Th5MwA4WPwkxWYluTEvp07+RrvjJxXeyMLsz4Om8b53B4e3\nfw8tXNv+pJpOdNE3iY05t1vrSs3SNXjW/7LfKvAz3fCxrPYjpS9VuQnI7O6wFQrFCASkV6kYOBJI\nxZCllGr+ZC89RkUrpeD1o6bqZ/hs0l2dPqxTWu1ezNIPjn8foDST2Ol3AlBXt5qt1iq8lsaZRfeg\nm75jHlOYeS7nj/4mXtxsyqhix57vodXsOuY4a9aNRGd/rnsV+A378a76EVrk2NDcGxNSFae1tIPS\ncNB4scJNVGoFh61wOC4N9MWAkUAqhqREGI3K2idxjPWNBiGntZBJR3FOdh+G9uJhvBt/03mLpzPv\nAt1FJFrFurqnADg79dN406d0eNos31QuHPcAGWSyZ1SYdeU/g4OvH7Ou1Ck6nciib3evAj9Sh/eD\nH6I1lXXva+vCGZkORe7WSuwIOv+qcmFLXhm2olELvz8soVScdBJIxZCTDKORiIRR0Z4/DtsCJslR\nPYDLc2LofVj+6Fn7P2h0PCxojVmIypyA41hsPPIQYcNmjn0q2UXXdHnuFFcu549/gDxzAiVpNisj\nz+Nsf+KYqXeVVkD4kp/gmCldnlOzo3hXP4xevaPrL64brsyzSG3TDqreMni7xiU9SoexWMyWUCpO\nOgmkYkhRStHUFJEwKo5rxVFT9TmmzRhf799UzX0vYYSqOrzfMX3ET70RgN1HfkGV2cjYaAaTJ9/d\n7edwGyk+0AS8AAAgAElEQVQsGnsv43wLqPU6vOVZR2zjw2ihmqMuxkPk4v/GzpjQ5Tk1FJ7Nj2Me\nfrfb19HhuTRYXBhHbxPKj0QN1jWYfT63GLxiMZvGRgml4uSRQCqGjGQYlb554ni2Nhn4rfY9R6/I\n6/0HF63+IK6Db3Z4vwKiZ94NukF59WvsUTtIjxvMH/91NKNnYU3XTM4oWMaMUdcScCneyDmM/8P/\nRj96XammE134VaLjL+5yCl8D3HuW49r5XJ8r8HUNPlvYvshpe9BkZ5M0zh/O4nEJpeLkkUAqhgQJ\no6IzYRs2NLafql+QbuHrbV6yo3g3/LLTFvXxCR9DpY+mKXSQDf6/YThwduZSzJSu2zUdj6ZpnJr9\naU7PvZ24ofF2YSPle3+JefCNY9aV2jM+TfS0O7q1rtRV8gGejb85tr1UD/lM+FRe+1C6utGkOCxv\nI8OZhFJxssgriRj0JIyKrqyocbfb4citOczN6P22iJ51v0BTHf++OZ5MrFOuxbLDrC/7HyxdcQZn\nkZ5/fq+fM2lC+nksKrwHXfewanSUvTV/x7X1yWPWlTr5c4icd1+3dnYy6vbiXfUQRP19urYcj+Ki\nzLahVOP1Whc10qN0WJNQKk4GCaRiUEu2dpIwKjqyN6hTG0/sk5TcL+mqvDhaLzOSuX8FRlPH+8Qr\nILrgSyg0thz+CY1GmGmRPMZMvqN3T3gc+b6ZXFh0Lz4jky25cTaqdbjX/g9asP16VpWSS/jSn+C4\n0ro8px6uwff+D9EC5X26tilpipkp7ZdC/LPKTZMloXQ4k1AqTjQJpGLQaq2mlzAqji/uwKp6F20L\nmSZ4bXLdvXvT1PzFuPb/q/PnnPYJVGo+hyqe44h2mJyoi5mTvwFa/76cZrjHcmHRd8h0j2f/KIuV\now5hrPvJsdXzhpvIRQ9iZU3t8pyaHcG76uFj16b20DnZDgWu5H+XGjYaL1e4pEfpMBePS/W9OHEk\nkIpBS1o7ia68WevCJjk6mqguv6C3PUftON51v+h0Atz2FWJNvJS6pi1sDb+Bx9Y4K38Zuierd8/Z\nBZ+Zxfmjv0GBbw7lqTZvjG7A3vZbzAMr2hcqaRqxM79MdNIV3Sh2cvBsegzjyL/7dG3X5Fv4tNZr\nCKPzSpUbS7LKsJZoCSXN80X/k0AqBqVgUMKo6NyRkEZZNFlVn4iR52fFcffyVc2z8ddoTsdbbyog\ntmAZUauRdZWPoYCzzUvwZp/W5bnf3GHz9LvBXl2XqXtZWPBfTEq/iAaPw4pxUYJHXsK95Umwwu2O\ntaddQ2T+/+tWBb5n9/O4dv2t1xX4mgaLi2Lt2kHVWTpvV0uP0uEuFrMIBGS7ZtG/JJCKQSccjhEK\nyXagomO2A+/Wt+85mm44TE3pXbgyD72F3nCg02NiMxbjeDPZcORHhI04s6PjyZlwU+ePsRQvbLB4\ne6fDyp1RNh3q3fXpmsG8nCXMyrqBsGnz+rgYVYFNeNf+FC1Y2e5YlXcq4QvuR3Xj5d1VvBL3xsd6\nXYFvanBDQfvK++KYwVrpUTrsRSIWgUDHH+CE6CkJpGJQiUbj8iInuvRuvUlctU7Vg+KK3F4WMvlL\nce19sdNDrIyJ2OPOZVfpE1TpNYwJ+5gy5Wt09oTlDYpfv2mx/mBrWPv7epu9Fb0dkdQ4JfNKzspf\nhqPrvFsU44BRgnfNIxhV29of7M1MFDu5R3V5XrNuD95VD0O0qVfXleaCa3Pbh9IdQZOdAelROtzJ\n4IHoTxJIxaARi1n4/TINJDpXGdU4FDZoO1U/M8VmlKsX88R2HN/6R9uMsx5LoROb/wUqGt5nT3wd\naXGd+UV3oblTj3+8Uqz+yOaxtyyqm2CUr/U+TYNnV9mU1vd+TntM6pmcN/pruIxU1hbE2JIVxP3h\n73B99Er76XfDReTC+7FyTu1yCl8PV+P74IdogYpeXVOBV3HuqDjtepQ2mByWHqXDniyvEv1FXi3E\noGBZiepNITqjFLzRsj1ogoHirKzeFTJ5Nj+OZnf+ISg2+xYCBNhQ9ycMBxb6Pokrc9pxjw1GFU9/\nYPPyZgdDB48JjWEoHAWmAY6CmA1//LdFXaD3oTTHO40Li+4l1cxnR1aUD4pAP/gqns1PQDzUeqCm\nETvj/xGb+vGu15VaYbyrHkKv3d2ra5qR7jDd1/7n8Gati6qotIMa7pqaIsRi0g1F9I0EUjHgbNtp\n7m830FciBrvVDSZRp23PUfhYbhyjF5nHPPweet3eToOalT2daOFc1pf8mLjucEb8VNLHXnPcY/dX\nOfzydYvd5YoMH0QtsBy49jSd/7rM5L4bRuFzJa46GIWn/m0RiPb+lz7NVcCFRfeS7ZnC4dQQb03Q\nseq24137P8f0GrUnX0ZkwZe7V4G/8TcYxR/06prOzbbJMZIbEiR+KK9Uu/FLj9Jhz+8PE4/3fjMK\nISSQigHlOA6NjSEcR9Ko6FxDHHYF20/V57ttxnp7viZTC1Ti2vP3xN87OEZpLqJzbmVr8aM06E1M\nCWYwZtqXj1k3ajuK17fZPPmeTVME0jzgD0N+BvznpSaLphlomkZhls6t5xkYemJv+NoA/Ol9m1gf\n+iR5jHTOK/waY1IXUO0KsGKyTjBWiXftTzEqt7T/erKnEr7wARSdr+3UAM+u53DtXt7jCnxNg08U\nxvG0tINK9Cj9Z6WLsGSVYU0paGwMY9vSjFb0jqakmZgYIEopGhpCWJa8gImuPVfuJmC3bfOkuHl0\ntOf71dsWvve+g2aFOj0sOu8/2K8fZnPgRbIjBueP+x562ph2x9QFFc+tsSmuU/jcELMSHQDOnqJz\n9Twdl6FR5Vf8fEViOvNbHzc5Uqt4dpWNoSdGUGeM1rhlkYGh934UUSmHHfV/Z1/ja3jwcWGJSV7Y\nIT7pcuJTr27ftN+J433/QfRIXZfntXJOJXbaF8Bw9eh6Yg48U+Zpt61pluHwiYIYpgyDDGu6rpGV\nlYKuyw9a9Izx/e9///sDfRFi5FFK0dgYljAqumVTo8GRiEnb0dEzMyzG+nr+edq9+XGMYOfbZ1r5\n86gumsK6uj/gcuD89KW4cua0O2bLEYc/vW9TF4R0b2Ia3ueCzy40OO8UA02D1R85PLvaJjkBsK/C\n4ZKZBpmpsKtM4TKgyg9NEcWM0RpaL/c71TSNfN8sPEY6peHNHMpwSFfpZJfvRm88jJ03qzVUagbW\n+AvRmsrRQpWdbgSgh2swKrdgFc4Hw9Pt6zE0mOx12Bk0SP68IkqjLqYxKcXp9bauYvBTKrGjk9fr\n6vXvsxiZJJCKAREIRGURvOiWoAVv1bmb/5V4g/NoDpfmWj0ONsaRf+Mufq9NrD2WY/jwz7+dD8of\nIqbZnGudScak61vuj1qKFzfavLHDQQNcBoRiMDVf4/YLTMZm6zSEFM+utlm7X+F1weKzDXIz3Wwv\nttlf6XDVXANdhwNViVBaUpe4nsn5fRtVyvJMIsszgdLQJg6nNGH6CiioLMao3IydfQp40hMHahr2\n6NNxTB9G7a5OQ6kWD2KWrMHOnwPutG5fi9eAPJfD/nBrKPXbOlEbxnollA5njqOwLAePx5RQKrpN\nAqk46aR3neiJf1a5CTvJoJaYqr8mL05aD3uva8EqPJt/22mLJ4DIaf/B2vonadDqmR3MY+yMr7VM\neZfWK55aabG/ClI9icIlFFw5V+cTpxt4TNhyRPGnD2yqmxLT8Z9rDqlnzUilsjbKngo4WK341Ok6\ngSiU1Ccq8PdXKTJ8GmOy+vYGnuYqJN83i/LQh5SYVUSyxlNUVYWrbD0qJReVNrrlWJU5ETt7BmbZ\nms5DqRPHLP4AJ3MKKiWn29cyypXoglAWbV1XURPXcemKAo+sFhvOkmtJ3W7ZJEF0jwRScVLF49Jr\nVHTfziaDfeH2U/WTvTazMnq41MOx8a1+CK2DHYmSZ4+PPovtvjIOx7cxOuRm3uTvgDsNpRQf7HN4\nbo1NMJYIo8Eo5KbD5843mT1WJxyDv623eWeXg67DJ083uHKujselQSiIz4kzvtCkPqjYU6E4XAvX\nn6lT0QjVTWDoiWn8MVkauel9C6U+M5MxqQuoCu+gXB2hLn8cY+sjuMs3gh3DyZrWuq7Ul4U19jzM\nIyvR6Pj7qqEwytehvFmojLHdvpZCj6I+pmiwWkNpadQgy3TI6k3vWDFkxOM2hqFjmrJJguiaBFJx\n0ti2Q0OD9BoV3ROx4bUad5vCGA0NxbX5PW/z5N78e4ymkg7v1wDHncaR6Wfzof8FUi2Nc3O/iJ45\nlUBE8X9rbNbsV7iaB3uiFpw5SWPJIpOsVI095Q5//LdNSR1MyNX4/PkmUwr01unKh+4j/O47aBMm\nM+PUHGqaFHsrFCX1cOPZOgerEv1KdQ12lCqm5muMSulbKHXpKYxNXUhD9CCV8X2U5eVQFEnFW7UD\nveEQdu4sMJqXQpgerEmXopdvRO+k2EsDzOptiVCbPb3TnaramuRTHAhqRFVypFtxMGxQ5HF6PNIt\nhpZYzMLtNjEMKXISnZNAKk6KZBGTtHcS3fVqjeuoqnq4ICtOfg+neo2SD3AffqfTdaMKqJ/3WVbV\n/wGF4gLtYnzjrmRfpcNTK23KGxOjopE4eM3EmtALZxjYDry82eGVLQ62DVfM0fn0AoMUT5tnisXg\ng3cSf9++BT07m5nzi6hoVOyrUFQ2wg1n6+wuV4RiiaKQHaWKmWP09ufpBUN3MTbtbMJWHZWRnRzJ\nNCnQx5Na8xFGxWbsrKngyUgcrOnY4y+AYDV6sLzTKXyj4SCavxi7YB5oXY9+aRqckuaws0nHabNo\nYn/IYJLPwSsDaMNaLGbh9cp6UtE5CaTipGhqikjTZNFtB0I6OwLJobPEm9gow+G8rJ4VMmmhajwb\nH+tw3WgypEbHncv7zhsEtRALguPIOuX/Y8V2xYubHCwb3CaE4zApT+PzF5iMz9E5Uuvw1L9tPqpU\nFI5qnbo/5k235DBs2Yg5ZixONAo7tqCbJrMWTqK0AfZWKOqCcN0Cg20lipgNcRt2lzvMHafjMfv2\nJq5pOqNT5qOhUR7ezOGUAJmjFjCq+gBm2TqULweVXpQ8GKfwNBzPKIzq7Z1X4IeqMSq3YhWe3jrS\n2tnxGkxLsdkeSBY5aSg0DoV0pqbauGQAbdhKVN47EkpFpySQihNO9joWPWE58HJ1+6l6UHw8P96z\nkTTHwrvqYXQ72uEhGuB4s1hXaFPhHGJywEfemG/zx9UutpckKuTjTuIN9fI5Op86w8Blwps7HP6+\n3iEcg/On63z2bKPjKfYdW+DgR6RdfwPRM86Dfbtgzw70YBOzLprOkTqNfRWKYBQ+Pt9ga7FCKQjH\n4ECVw7zxOmZvtqJq+3VqGrm+6aSaeZQGN3JYL8ZbdDHZteWYFRvBCuNkn9KyrlRljMPOnYVZuqqL\nCvwARska7Py54E7t8jpcOoz3OOwJtVbeW2iURnSmpti92nFLDA2Oo3AchccjazTE8UkgFSdUNBon\nEOg4EAhxtDdrXTRY7afqZ6XaTE3tWSGTe8uTGP4jnR6jgL2nnsGu2CqyIjo5+pd5YmMhDSHwuRNT\n9Dlp8LnzDeaOM6hqgj/922JbiSIrBZaca3DmZAO9s6b2q9+D2hpSP3M9YV86zJoHBz+Cj/ZgVJQy\n++LZHKzX2VuhsB24bJbOlmKFrid2fCqrV8wdp6H3w8jSKM84crxTKQ9totjajT32PPKbopjVO9Dr\nD2DnzWztN+odhTXuAowj/0ZTHc9utFTgZ01F+bK7vIYUEzINxaGITvLnG3Y0aqMak6VH6bBmWQ6a\npuFyyRoNcSwJpOKEsSwbv1+KmET3lUU0NvrbT9WbmuLKvDg92cjIKF2D+9Cbna4bBaieuIDVzju4\nHMivuZo/7z8HSEwvxyw4faLG0kUmmakaq/Y5/N9qm8YwnDFRY8m5JnnpXcwzKwUrXgZfCmlXX5No\nd+bxwOz5UFEG+/diHNzL7EtmcaDBzZ4KhWnAOVN1dpQqTB1qAtAQUsws6n3j/LZSXXkUpsyjIrSF\n8ugOmgpPpdDJw1W7u3ld6RTwjGr+RrqxJl6KXrEFPR7o8JwaCqNsbfP0/5gOj0vKcifCd2WsNZj4\nbZ2IA+OkR+mwFo/buFyGFDmJY0ggFSeE46jmPeoH+krEUGE78FKVB7vdVD18LCfeo/ZAiXWjv+ly\n3WgkNZt3Rn1EVIszsWwaz5Xfhs+lEbPBY8L1ZxlcfKpBIAp/Xm2z7kBie9AbmwuaujWNXl9L3bot\nPDDha7y8Psy5p2iJx5kmzJwLgSb4aA/mnm3MvnAGHzX52FMBGSkaM4tgX2Wi8X5pfeL7M7Wgf97E\nPUYGY1PPoiayh8rIdmoyR1GYcTbuqp2JdaWezNbWTpqOPf58CDegN5V0GPA1wKzairKt5un/zr8/\nY7yKqgg02a1fU01cx9AUhdKjdFiLxWw8HrPzmQUx4kggFSdEoohJ0qjovn/Xm1THDdpO1Re6bRZk\n9qAYzrHwru7GulFg5UQv9VotU2oyWF7yTUzTJGI1t226wGRCjsaHRxR/et+mpglOLdL43PkmY7K7\nFwqVUry+uoH/817aEs42HFScNbk5lOo6TDsVDBN278C1czOzzpnM3lAGe8oVozM1ijI1jtSCqSea\n6ad4YFw3n78rpu5lXNrZ+GOlVEa2U+YOkFf0aXw1ezErN0EsiJMzvWVdqZM/B8ebg1G9tYsK/ANo\n/pLmCvzOr3VyisNHQY1Ym3ZQZVGDDNMhW3qUDmtS5CSOJoFU9LtwOEY4LEVMovuqY7C6wdXmlkQh\n07X5Mdw9yF/uLU91uW4UYMOECRw29pMfNHnv0PcIOGkoBZfO0vnMAgMFPL/O5t3dDoYOnzrd4Io5\nzU3uu6Gy0eHXb9rsaUptN1IYtxOh9OwpGqauJe4bPwmycmDXdtw7NjHrtAJ2x/PYXQ5TCzXSvBoV\njYnG+bvLFQWjNPIz+udNXNdMxqQuIGYHqAxvpcQ5QNakJaQ2VGDW7ECv+wg7dyaYiXWlKmMMdv48\nzJL3u6jAr0Kv3IY9en6nFfiaBqekOuxo0puL2BI/98Nhg0K3It2UUDpcJVsAyk5OIkkCqehXiXWj\nshOT6D6l4MUqN5Zquz0oLMiwGOfrfiBJrhvt8Hmaz7whbTJ7R+3Aaxls3vdd6uK5ZKXAbecbnDbB\nYG+F4o8rbUrrYWJuYn/6KfnHaed0HI5SvLzZ5u8bnMS2oscRt2HjoUQoNZJTlgWjYfxE2L0dz67N\nzJyaxi7GsKsM5oxNfF/qgs2N80sUk/M1MvvYOD9J03QKfHMwdS9loY0URz4kbdJi0uNg1u7CqNiI\nkzUF5c1MPMCTjjXuQozi99FUB18koMebMErXJEZKXR1X4BsaTPHZ7Ai2toMCOBgyGO9z8En9y7Al\n60lFWxJIRb9JNr9XSkY1RPetbTQoi7bfHtSnO1ya0/2eo1qwdd1oh8cA69R0Phq7E6Updu77CvXh\nCZw2XuPW80zSvBovb3Z4dYuDreDK5jZPKe7uXURJncOv3rQ5WN18g1IdrqOMWc2hdGqbUJqZnZjC\n37cL796tnJrvsNMzmV1lijMn6QSjimTDip2lihlFOml9bJyfpGkaOd6pZLjHUBraSHFoHWbRhWT6\npmFUbcMsW4vyjEJljEs8wHAldnaq2o4e83d83mQFfvYpKF9Wh8d5DChyO+wLte9RejhsMDnF7tEo\nuRha4nFbpu4FIIFU9KNAICrN70WP+OPwbn3bKd3ElO1VufHubynpxPGu6XzdKMB+exwfjq0EbxOH\njtxEMDCfzyww+dgsg9J6xVMrbfZXKUaPgs9dYDJrTPdGRW1H8bf1Ni9vdmj369/FY2MWbDp4VChN\nTWtpC+Xbv50ZqX52pExnVzksmqpTG1BErESv1t1lDnPG6Xi7uYygOzLcReR5Z1Ae2kxpaAPWqPFk\nF1yJWb0Ds3IzRP04OTMSa0M1DXvcuahYEN1/uJNiJ4VRtgbly2ttwH8caSakaooj0dYhUUslepRO\nkR6lw5ZSiXZQHo+E0pFOAqnoF5FIPNHSRogeeKnK3WZ/88Sb0WSfw+z07n+wcW/5Xwz/4Q7vV0DY\n8fCPnHw8mR9RU3M2euhqPn+hl/G5Gm9sd1i+wSEShwum69x4tkGGr3tvjPurEmtFS+o6evKjR0nb\nN6KKWrDp6On7Nm2hUvZvZ7peyfb02eyugPNO0SlvSLRMiliwv7J/Gue3lWJmU5R6OpWh7VSEP6TJ\nZZM76TbM+gOYNTvR6/Y2ryv1AuDkzcRJKcSo+rCLCvwtKEfhZE/tMKznehShuKLWag2lEUejOqox\nRXqUDluynlSABFLRDyzLkX6jose2+g0ORtpP1esors6P0d3dMo2ytbgPvtHh/UolKup/77mQjDHv\nEgoVMTZyHdefn09TBP73fYvtJYqsVFh6nsGCSV00uW8Wtx2eXW3z+nYHq7NmEsckqMQI8NGhdPMh\nxcKpbZrft2kLlbpvC9OsI2wbNZd9lXD+dI3i5gDcFIHi2ubG+f3YQsdtpDE27SxqIx9RGd5GjVVM\n7pQ7cEUDmDU7E+tKMyeivIlpeJU+GrvgdMzif3dRgf8RWlM5dsHcDivwx/kUpRGNoNN6f8DWCdow\nXnqUDlvxuI3bLetJRzIJpKJPlFL4/eGWT7hCdEfYhtdrj56qh/Oy4hR0swelFqzqct1oHJ1f2EvI\nmvw8Srk4I3QeZyw4h9UfOfxljY0/DAsmJZrf53bV5L7ZzlKbx95yqOx46WRXV85xQ+nhxPR9Syht\n0xYqbed6poYPsjXrNPZXaSyapnOkVmHoiWKnmoBi1pj+aZyfZOoexqUuJGBVUhneRnlkK7kTluBy\n52BUbcUsWw/udJyMcYng7U7DGn8hRvEHnRc7hSrRq7ZhF54OhuuY+zUNpqY67AnoWG2+R3VxHTTF\naOlROmzFYjZer0um7kcoCaSiTwKBKLGYrBsVPfOvajchR2+OG4n/zTQdzsvqZiGTHW/pN9rRbkyO\ngvuDX6dw2v/idjdxdsN4Mk/5PH9erVjf3OT+swsNLpjevSb3Ucvhjyst3tuj6Pvnr2NDaSQOHx4+\naqS0TVuo9O1rmBz4iK1Zp3G4VmPBZI2SukSP0orGxJrUaYX9O7qkawZFKadjqzgVoS2UBNeRXXg5\nntwFmNXbMSs3o0UbsXNngGa0FDtpNbvQo40dnzfWhFG6GrtgPrhSjvO8MC3VZkfAaG4HBaCoiBqk\nGYoct4TS4UgpsO1EKBUjjwRS0WuxmEUwKPvUi57ZE9TZE0xO1UMynF2TF+92ix/3licxmoo7DKNK\nweOhL5A28V+kpR9kRr2PxvR7eXqti5oAzBzT3OQ+q3sBbvNhm8ffcagLdu/6uuf4oXTLkcSa0nZ7\n1ze3hRq1fTUTG/eyJfM0yho1Zo9J9Cg1dThUo/C4YHxO/4ZSTdPI983Ca4yiNLSB4uAa0kbNJmXc\nNRj1H2HU7ESv3YOTXFeqadhjF6HiUfTGgx2vK3XimMXv4+RMb5n6b8vUYaLXYVe7dlCKIxGdfLci\nQ3qUDku2rdB12e9+JJJAKnolsTVoGOnwJHoi5sAr1e42o16J/5+VZjM1tXs7exkla3AffqvNo4+1\nJT6b0pw6MvLXkunPYE/D93jvYBqmDp8+w+Dy2TqebixUDcUcnnjXYs1H6gT9rh8bSsMdhdLmtlCZ\nO9cwvn4vWzLmUhPQmJKX2O/e1GFPhSI3XaNwVP9PeWZ5JpLlmUhZcCMlwbWY7izSJ96IHmnArNmJ\nWb4BZ9RElC8bACd3Bk76WIyKTZ1X4JeuQaUWoNJGH3O/z4AcU3EgrNO2R+mhkME4r0OKZJZhKR63\n8XhcsrXoCCOBVPSKtHgSvbGixkWTrWPgoEiM5Lk0xRV5cbrz3qMFq/Bs6nzdaNhxs9EzGm38e4Tq\n5rDt8FcpC6QyKS/R5H5yN5vcr/7I5sn3HBpPeL1e21Ca+P9wHLYWHyeUNreFyt67gTE1u9mSPofG\nqMaYLI2GUGKqe2epYkKuRnZq/7+Zp7kKKPDNpiL0IWWhjcSIkDv+JnClYVRvxSxbB64UnIzxoGmo\n1ALswjM6LXbSALPyQxQaTtaUYwrBMl0KQ0FZzGh5hCIRSqVH6fBlWY5M3Y8wEkhFj8lUveiNw2GN\nrU2Jti6qzWjXpTlxsrqzb7kdw7fqR2hO7Jip+mR3JaXgoJ5Dybg9HCj5LIfKrkdhcuVcnU+e3r0m\n9/6Qw2NvW2w+rDh5EwDHCaUx2FasWDj1qADd3BYqp3g7heU72Jo2i3BcIztNI/mf5Y5SxfTROune\n/g+lXjOTMakLqA7vpCK8hYZ4MQWjPwnZ0xP9Sqs+RIvUYefMAN0AdyrW+IsxSlahOR1vKWzU70ML\nVGLnH1uBX+hVNEShwW5tEWahURLWmZJqd7srgxg6HEem7kcaTcm2OqIHHEdRXx+UqnrRI7YDfy73\nEFcaiUZMiWAx2m1zdX7HIaUt98bfYtbu7HDdKEDU0VmeU8iHZbcSjeUxOsPhhoXubk9hv7PL5s0d\nTj9Mz6vmXNnTpNQ+lALkpsFXrjxO03Dbhlf/wbaPQvylaDEeE9wuneTOvRleWHap2W9bjB4t7oRY\nW/kY1ZGdZLonck7Bl/FZDu4P/4DhP4KdMY7YvP9omcJHObjX/xKzYX+n57XTxhA988vg8rW73VHw\njwoX9Xb7gFLotrkyLy6N84chTYOsrFRpBTVCyAip6BGZqhe98U6tSZ1lYKJwSL65KK7Ni3VrytUo\nfh/3kXeBjsOo7cAfjcvZXHELtp3CRRMaWXx+erea3NcEHH7zpsWO0v74oNUcJtsEyPHZ0L1WvceO\nlIZisK3YYeGUo0ZKm9tCFdh1ZO9dz7bUmWg4uEwdy0m0ktpbkWic7zoBac3QXIxNO4uwVU9leBtl\noQ3kpS/AHHsJWrSxeV3pepxRE1C+nESx05iFKNtGb9jf4c8xUYG/BrtwfrtQmmwHtbtJx27z6ICt\n00UIQpoAACAASURBVGRrTJAepcOSTN2PHBJIRbfJVL3ojcqIxjp/4g0lUbaUSA0LMizG+boOgFqg\nHM/mxzusptc0iCuDh8J3czg0H5+7hv+YuoMzTj+1/frL4z5e8epWh+fWOoS7N1Db2dma/7Qm7Awv\nLJgE20sT/9ahG8sAehBKm9tCjU6xyNixlu2pp+LCQmue8g5G4XCNYt74NjtB9SNN0xmdchoaOuWh\nzZQE15LlnYq36GKUJz3Rr7R8PZgenFETQdNwck7ByZiAUbGhkwr8WKICP3cGypvZcruhwZSURDuo\nth9N6uM6DlDk7V5hnBg6ZOp+5JBAKrpFqupFbygF/6jyYKO1Gx1N0R0uyelGz9GWdaPW/8/ee0bH\ndZ73vr937z19Br33wgKCvYAURUmWFMmyLCu2ZdmOLJdj+6TnnJOVe9a556777d61zl23OlmJE9tx\n7MR27LhHtmxZstULOwkSBDsJgOjAoE+fvd/3fnhRCbBDogju3xeSM3sGM8NZ2P/9PM///yzewon+\nt1SC/23qf2VMllBS9AZ/VvIWJZufuma7fGBc8ne/czg/uBxf6pkxhOlkVWnrNZ8TcGFo7qirjRss\nZL4o1SIrkRFLi1KA0nIqS30Ej++lPbAGP1myysQ0YCwBw5OKDVXLG5w/+0qFoCiwlpCnhN74Ibpj\newl6iokU70EWrJ6eKz2GSEZxitaBYaJCxTjlLViX3py2KC31CUjM3r2ocDkqXDZ7u9eAKp/kTGK+\nKFUMZkyChqLIzShdcbiu+7sDV5C6XBduq97lZnhnzGIwa2Kiptus+oTyWFGGyHWsrTYP/B1Wcgip\nxBVd+P+c+BwDRj4NDd/kE1YrBZv/EkzfFZ9TSsm/H3b4+WFJ5soLhW4CLR6bJ9oIB0yOj4a40s6I\nG6uUGtOiTZHICE70SHYtJUrzCqiuzcN3fB8nfY0EyZCZFqWDk5BIw5qyd0eUAuR6qyn0r6Y/cZie\n+AEEBgV5u3DKt2OMd+iVo9F2LUo9QfAEsesenjY7Za74CZiDR0FYyLyG2YuMkAURU9GVMucdqehO\nGRR5FLnXY5JzuaNwW/crH1eQulwTt1XvcjOMZeDNcX0C0fJAi4mGgM2GyLVbq9HW31I4uo9xmUPA\nmPv+za+UHs+u57injLq1f8v2zDANq/8KFSy+4nN2RSVf/Z1D18jNvqulyRdjFAfTNPmnaKWOcRG+\n6vEzjf0bFaUCSTxtXFmUhsLUrC7GaDvCGU8tAZUmg4VlwKVRhceEuqJ3zyAS8hRRFtzCYPI4/Ymj\nJOwRSnNakBU7IRObmyvNqUYFi8AwseseRoxfxEgu/Z8iAHP0LMSHkSUbZx34hV6F7SiGsvNFKXQm\nTar8kpDb4V1RuK37lY8rSF2uilJuq97lxlEKnhv2klUGASGxp1v1BorHi7NYV9FEWUfx1sEuNka/\nz6HMdhqtjlkBqhRIdLU0If0c8RXjXfXvlGUcWnKfQZZuWfI5bSn54X6HXx+TLGeh38TmI75fUVUS\noG2yikup0KJRAQFsrxPEM4L0vDnVmxWlFjZTaZP2K4lSn4/6plLkyTbOGZX4ZYoMFqYB5wYV+SFB\ned671/r0mRGqQjuJps4wmGxjNHWR8vA2KNmK9OVgDrXpvFLTi8yt12anip1IDB39dIXnNeP9GMPt\nOOXbwNAXOhV+xXAGJufFQc1klNYHJT7XnL2iyGbdXfcrGVeQulyVRCLj7qp3uWGOTJp0pywMFNl5\nrfo9eTZl/itLsIEJxffeiPFA/Lv8MPlJPhp4fkGrfkKGCRoZlII+j5cL9WfwO4IHszsRq5eeGz03\nIPn73zn0jS/veywWQ/zH0D/xuvNBDo7X4SxR9K0tgi/db/D6GUU8BWG/dr/PcOMzpQYK8JJmMu25\nsii1LBqaSsieP89FVYJPpsliYU4H51cXCgrD795J3TL8VIfvYTLbw1DyBAOJ45QFN2PlrUUWrsWM\nntRzpYkhnMJ1YFioglU4uQ1Y/Qev4sCfxOzZp0WpFUAIqA9KLsYFaTUnSh0E3UmDxqBz1YsflzsP\nKRU+n9u6X4m4gtTlijiOZHIm1NDF5TqJ2fDKqBfQ9aqZjUz5luS+/KWNTEop9l+Q/Os7DlvVm/w0\n9RR/Ef4awXmt+iEnj0JzEoCMULxeN4ljwAdGywls+k9gLjxJZWzJd992ePmkXFIs3gqNwWEajVP8\nKPkpxp2cRffnBOBzewxygwY/OqC3PUkFzRWQzCwUpXDjolRiECDBeNp7RVEqDINVawtJdPXSZefj\nlRlsYSKA9h7FmnLjuiKxbhZDWFSFWsjIOAPJ4/TGD1Dsb8IXrsMu34Ex0annSofbcQrXgicEwSLs\nyl1YXW9c2ewkM1hdb+IUrwdfLsZ0HNTJKQM575NMK8FQxqAh6FzXFjCXOwPHkXi9lptNugJxBanL\nFZmaSuI4bq/e5cb45ZCXlDSICEV6Xuboh4uzBJYY/0qkFT/c7/D2OUWxMUS7vYEvB79FjdU7e0xa\nWkSMhN7GhOKVyhSTPsXWET9lzf8V/PkLnrOtR/K1lx2Gp5b3vRnAngaH08MWF+xVXC4lLZnlidA5\ndrSU8qtWyeFOvZNq92qDrBScG1RsrIJEBlKXxUzdqCh1MAkTYyztu7IoFYLVq3OZ7I3SnQljySxS\nmEgFJ3slGyoNAtexvepmEUJQGtiIxwjQlzhCd2wfud5qwoEanPIdkI1jRdux+g4iI5V6/tcKaLNT\n7z6Es/TsukBh9byDilShQqVYAur8klPxhXFQcUcwaQvqAm5G6UrCtt3W/UrEFaQuS5JO2yQSSztf\nXVyuRHvM5HxCt+rT81r168MOq0OLy5QXhyXfesOhdww8wmZKRfi4/+e0eI8sWAfqYOAx9OOP52fo\nzHWomTLZUPpFVFHT7PMls5JvvWHz1lnFci8T21QNGQfODBk4LI4I2O7r449PfoVzRZv5eUcBiTTs\nqBc8e6/FhiqDBzdHOHYxxdlB2FytK6WXZ5/eqCjNYpHDJKNp/1VF6dqGEGODU/Sl/JjSRgmDrK04\nM6DYVGPgfRd3bwohKPA3kuOtpC9xmJ7YPnxmDvn+BmTxeqQ/H3O4DavvIAhTu+kNC7v2IcR4F0Yy\nesVPwRw4oh34+Y34TSj1KM4n5+K3QDFuG2QVVLkZpSsG1+C0MnEFqcsiXCOTy82QcuDFqBeFwM+c\nkckrFB8sWrja0ZGKl9slPzskZ9vXAskzgX/jXu9+xLxFR2lM/IaDAqI+m73lWXIygj3qftSqJ2af\n8+BFh2++LhmLL+/7KsmBqnw42TcnIA1sZkRhVT584X6Dund+SiQxwr/mPkFNqZdn91jsbDAZT8D/\n+KXNi0dT/MnDJucGFWcHYXu9IJ66dVGawUsu44ykA1cVpU21PqLRJANJL4bSc+HJjKQjKt614Pz5\n5HgrKPGvoy9xhN7EIRyVpdjfhMqpRhY26bnS4eOIWD9OUTOYHpyKFqTwYI6eWfJzmXPgDyGLN5Lj\nFfiAnvTCOKihjInPUJS4GaUrBtfgtPJwBanLIlwjk8vN8ELUQ8wxCAtJYl5I/EMFWQrmCYGxuOI7\nbzscu6QwhJZVpWaUPw7+A41WJ5aYq2RJBR6hH2uj+HVdCkPBQyOVWJv/HAyTWFry9VdtDnaoZb2I\nMoGWejg3BNHYzK2KDWabnov1RfjsvQYhn+BnB20evvQrJr151D75IB/coMX4r47pvNMZekYVz+w2\nOTugONMPuxoFsbRu4d84YvbPDD5yGdOitNtZUpQaQtBc42FgJMtwwkSgMJUkFrfpmzTYUCWuudnq\nVglYBVSEtk8bnVqZyg5QFtiMCBToudLJS1gjpzCH2vRcqTeEym/AyVuF1X/gyg78WD/G8Emc8h2U\nBAziWRix50xOoOhJGRR4FHluRumKQSnw+a4j0NjljsAVpC4LcI1MLjfDhbhBe9xCAJl5rfpyr0NL\n3tzFzfFuyb+86TAan2vH7847x0fN7+PgocAcX5AzOhv3hOI3VUkSXrhnKEDepv8ZfBHePOPwz29K\nppb5K7ulGiZT0DkvGjOHcf4s+DUmRQE16zawpdbkV62Sth5FZXaQe0b24lu/jtwt63n1lOQHe/Uo\nwnwmktA/pkXp6X7F6X64d7UgloL4LU3IzBOlmSAnuzPsbLSWFKXrq016RxxGEtoc5VMZpibSjGQ8\nNJW/e8H5M3jNEFWhXYymLjCYbGM4dZry4FYsT0TPldopPVfafxAZrkCFSiBYiF25G6vr9SuanYzM\nJGbvPpyy7VRHvPSkBAk5X5RCV9KkwicJuxpmRWDbrsFpJeEKUpcFTE2lcJbbkuyyorElPD+sW/UF\nliQ5LQIEiseLM/gMyNiK5444vHRCIqe/XgEvPLPqIuHRI3TadezwHV1yPahCcbQgQ0+OZO2Yxarq\nP2bEW8c/vGxzvHt5q10VuVAQgTMDLMgrbTTO8d8iXyHhLSOy/Sn2XRS8eVaPG9y72uCpnDOIC2c5\nuPoJvtsW4dygumK+6HgSBsYUn77H5FSf4lQf3Ld2WpTe0v4JQRofOYwzkglx5lKcHY2LW5qGIVhf\nbXApKhlLCGzDQ8iOMRmdImmFaCh590/uluGlKrSLuD3EYLKNvvhRSoMb8VoRZFEzMlCo80r7DwIC\nmd8AngB2/e9h9uy/stnJyWB1vY5TsoGG/DBnYwb2vEqyQgfn1wUkfnf8cEXgGpxWDq4gdZnFNTK5\n3Ay/jXqYcAxChpwOKNcnhu05NrUBRf+44ttv2JwfZLZF31Ai+PSmKfa2jdDp1PJs8N8WzI3OZ9Qj\n2VeRoShp0MJ9vJh8hO/vlTfZ5l4ay9CmpXNDMJFYeF+xGOK/RL4KVoCXQn/Mvx/3M56AdRWCz+2x\n2FwjOH2wk++GP8SxdDn2vOs5U8D2OhZloI4nYWhiWpT2Kk72wYNNgqkkxG5ZlPrJYZxoJkLHpVG2\nNgYWnaxNQ7ChyqBjWEdSpcwAufY4kz1RZE4+lfnv/sndECYVwW1I5TCQbKUntp9C/2qCVgEqUolT\n1Dw9V9qGmOrFKW4G06fNThPdiOTwFeZKFVbP25BTTX1JISdjJmqeKHUQXJrOKPW4hbU7HtfgtHJw\nBakLoI1Mk5OukcnlxuhNCo5MTfc/FchpI1PIkDxYkGXfecn39zqzlT8h4LFNBquLFf+2z2ZSRfir\n8N9giaVnlm0Uv2hI4ndgw0Azfzf8ZU73L++XdGuNnhG9vL0OEPLY/Leif8TvTPDdxLMcHKuhPA8+\nvcvkwXUmw1OKH+xzeDteRcoILFDU68rB74VT/XPPVxSCxLSJaSwBw5OKp3eZtPcq2nvh99YbTCbU\nsonSwWw+vV09bGqMIIyF6mtGlF4ckkwmIWblUJIZIt7RjVlWRlHk3RelQghKAs34zTz6Eofpju8j\n4ikjx1sBvlzs8haMyW49Vzp4fHquNIxTsQNp+DBHT1/Z7DRwGI/lo6KsljOJhXFQGSUYyBg0BtyM\n0pWANjh53SrpHY4rSF0ASKWypC9P63ZxuQqOhOeGfUgEZZbDpJyrjt6Xk+H5QzZ7z6vp7FAoDMOz\n95qcH1S81K7j3f975P8iZCSXfH6F4oWaJCkD7HNP8bPxZ0jby3fCqSoAvwcuDLEoOF8IeGS94CP+\nFyiKHWdvZif7xcM8ucXk97eZKCX4+WGHF45rMTf7IKC6AIojcHZQz4yuLRc8s9vC5/Nwus+hJAcS\n04JzLAEjMcUndpq09yjaexSPbjSYSKhbnIvVojTCJH3ZYkY6T9PckI8wFlaRLFOL0nODklgKRrxF\nVCZ7SJ85i7eultzge1NCzPfVkeerpz9+mO74fizDR4GvEWH5cMq2g5PFip7A6juACpehQqWo/Hqc\n/DVYffuv4sA/TSgdJVKxns7UQlGacARjWUG9m1G6YvB63eHgOxlXkLpMV0dTbnXU5YZ4Y9QimjXx\nG4rxea36YmHzyjtp+sfnwol21AvuW2vys0MOHcNQbXbzP4W/QsRILPncCkV7XpYzvnzOn/qvdCS3\nwJKy48bxmrC2XAvRpWY215YJPrJF0Hf+HLuTPyGqijhf/WU+tdtHXkjwYpvkJwcXh+4XGAkqSzx0\nRWE0DnVFgk/vMvlAk0nEL7hnXYieoTQXhqAiD2LTgnMsPl0pbTFp61Gc6FE8tslgPH7rojSDjxAx\nuu0K4p1HWF2bi2H5FhzlmRalZ/ol8TT0+yuoj3egThzDs3YNQf97I0rDnlJKAxsZSLTSlzhMxolR\nGtiAMExkURMyWII5dByr/xAoicxfpc1OVfdiXbryZicz1kfhxAmcsu30Z73z7lFM2AYZqTNKXVF6\nZzMzS2q4Je87FleQurgxTy43zHBGsG9Cr+oMGQ5pNV15U4r2g0nS021pvweeajFIZgTPH5VkbMWj\nvt/yucD38RnZKzw7TFmKH5n3cf7Cn5B28pbtdW+qgsEpGJpcfF9+CD5zj0HfOLzVHucL3q/jNzIk\nt/wRdTXFvH1W8v13HLpHFwqfABlqYxfp95QyGhdU5MEnWkwe3WCQF5oTc+Gwj5rcLEOTiovDUFPA\nbHV1PAHRKcUnWgzapiulH95sMLYMldIsXvwk6LJryXYdYFWZhfAvXHfqtQTrqwxO9kqSWegM1rN6\n6gzW0f1Yzc3vWbSO38qlMtTCcPIUA8ljjGcuUR7cgiEsVKQCp3gD5shprOE2jMlunVfqjWDXP4LR\newDDWfrDMtKTVA2/w3jJTkZVYPpWfbk0nDXxGIpSn3tFfqfjxkDd2biC9C5HSsXU1NItUxeXpVAK\nnhvyYiuDSo/DsD3XCh26mCYT0xc3dUWCJ7aYvNwuOdWnKAwp/sj/D7R4Dl61GuUA/yPzpwyP3A/z\nzCi3Qm2h/vPSKIs6AR4TPrFD4PcY/KpVMjSl+MO8H1Ilusg0PM5RezvfecvhzMDC7U+mgLoiGI0r\nRnzFFIXgo9stnthiUhRZnAMaCvlIJjM0Vwr6xrQorS+aM1GNJ2BoUvHUDoO2bl0pfWKLwVhccWtJ\nbAIbDz7SdDj1yO7DNOZOQqRswVG+aVF6olunB5wJraF5sh3v4bex1q3DCvhv5UVcNx4jQHX4HsbT\nnQwmTzCUPEF5cAuW4QdfDnZFC8ZUL+bIKcyhYzgFa8CXi1P7IEz2YiSGlm7hywyNQ6/QW7iTKRGa\nuRVQ9KZN8ixJvptRekdj2xKfz62S3qm4gvQuJx5Pk826MU8u18/+CYu+tIlHKCYcAdNGpnTcIXox\njRDw6HpBYUTw3GHJVFoHwH9J/DXFdudVn1sp+Ov4nzGcXoVXxHHwciti1G9BTRF0RmGpEel7Vwk2\nVhu8eEJxcViRF4I/XHWE1VO/JRas5//t+yRHuhZGQAFU5uvVnyNxyLGneCLxNh97eg1leYuF6Ayh\nkI9EIqOzQKsE3SNalDaWwPj0dqnJJAzMiNLpSumT26ZF6S1dNwocLCyyXHQaYPAEq4xzqILGBUYs\nv0ewvtLgeLck4wjaIhvYPNGK7/BbmKtWY4TDt/IirhtTeKgK7yRlj+tYqMQhSgLN+MwcML045dtB\n2VjD03OloRJUuBxZvh1pBjBHTl3Rgd8UfYWLOdtJWJHZW0HRlTQp80kiboHtjkZKhd/vud0vw+Um\ncAXpXYzjSKaWO1HcZUUzkYXXx/Qv+3KPzaTUZ2+lFP2nkuR6FR/fZnD0EhztUoT98JndJg9mf4xv\ntP2KzzuTP/pW5l4OqY14SJNREW5FjK6vhIEJllwlWlMAH94kONihaL2kMAV8cIPBpzaOU3z6H0k4\nPv73kb9kasHMoTYrKfSMqM8DH6yN8fTBr1DdUIDRtP6qr2dGkMKMw13QEVV0DMOaMhid3gY1lYK+\nMcXHdwjauqG9V/HR7QajMcXELTYzJCYGDhedRtRYJ2uSbyKLm8GYU2EBr6C50qD1kiQrBa25W9g2\ndhjfkXcwqqoQ+QW39iKuEyEMyoJbMIRJX+IIPfF95PsaCHmKQAhk4VpkqAxzuE3PlUobWbBam50K\nmrD69l3R7LRh7DXOhreS8uTMuxU6Eya1bkbpHY3juGH5dyquIL2LicdT2LZbHXW5fn4x5CWjDHJx\nGHLmNgFNDGRZFbBprjJ4/qhkNA4bqwVfuN+iItGK9/wvgcXyUiqQCAwBg04h35EfJpMpwlE33x6u\nK4SUDf3ji+8L+eCTOwX9E4I3zipSWdjZaPDsHpOCoMTe/4+8ndjGNxNfxmauypLj11ml40ndqn9o\nncEf3GNSP3AM89xJ2LEbyiuv+rrmC1KYE6UXBhUdUWgqh5FpURpPQ/cofHz7tCjtUXx8h8HIMohS\nhQFIOpwGZDxK0+hzWpR6ArPHBL2CdRUGR7skWWVwKG8H28YO4z+2XwvS0vJbexHXiRCCIv8awp5S\neuOH6I7tJWgVkuur1u8lXD5vrvQExkSnzisNlWBX3Yd1aenNTgLYNP46pyMtpK3w7K0SQXfKpMHN\nKL2jcRzpVknvQFxBepdi2w6xWws7dLnLODZp0pE0wVFMJBQeny4jOVnJNl+aoUnYe17hsbSp55H1\nJt7UMP7Df4eYF00+g1Iw4BSTa8Y5lV3LV1NfJJMt4WaroiEPFOVAzxhcfp1lAI9tEoR8gpfaFKNx\nWFMmeHaPxbpywSsnHU4cbueFxMOccZpmX4PP0hulplL69e5ZbfCZ3SZryg0sU8CBt2FoAB7+EISu\n3s6+XJCCjl1aXyU4OyDpjEJzBbPu/WRGjxp8dJvgRI+ulH6ixSA6eeuidKZN3eE0IDNxmob+DZVX\nhwrMVT9DPkFThcGRTomtDA7mt7B1/CiBk4fBNKG6bulNBu8Cud4qCv2r6U8coSd+AIGg0L9GXxD5\nInquNNan50oHW3EKVkOwCLv+UczeA4glzE4C2DT2Ku25e8iac2I8owT9aR2cb7qjiHckUio8HtOt\nkt5huIL0LmVqKu2uCHW5bhIOvBTVwdPDHUlySudCqGudNG+fcBiYgFWlgi/eb1FbZICdxr/v/551\nPisWSs196e3UWP38MPE0v0w/iVQ+blaMrimFgcm5KKX5bKqC9VXw+ilddSzJgU/uNHmgSVcAv/e2\nQ/eIzZAqxZmuipoCwn5IZMB2oKXB4DP3mmyoMvBY817jyy9opfrIh68pzpYSpKBjl9ZXGpzul3SN\nwPp5ojRtQ+cwPLFF0N6rReknd+pA/uURpXDRacCRknVDP0D5clA51bNHhP2C1aWCI10KG5MD+S1s\nnGgjePEETE3BqjUg3puTfshTRFlwC4PJNvoTR0nYI5QFNyKEAaYHp2wboLCG27D6DqKCRahIJXbd\nQ9Nmp8FF3y4BbBn9HcfzH8QxZuKwFElpMJIVNLgZpXcsM1VSNyz/zsEVpHch2axD/NaWZrvcZfyo\ny8I2TSYGMoQLPFg+LUKMpM2Ro/q79MQWg49sMQl4BSiF9+jXMWN9s0J0/mnhTLqerOHjG/H/yCVZ\nN33rjZ846oq0CB2OLb6vOAKProdj3Xpbkt8LH95s8NFtBj2j8C9vOpzq1855xYyoUoR8grQNGRs2\nVQuevddiW52B33PZ64vH4JUXobYBNm275mu9kiCF6dilSh27dGkUNlTC0LQozTpalH5wo+B0H5zs\nU3xql8nQslRKNR1OA2m8rB/9KcKOIwvWzgrNnICgsURwtEvhYHIwv4W18TNEes5Afy+saQbrvXEC\n+cwIVeGdRJNnGEy2MZq6QHloC6bw6LnSgjXIcIWeKx04DHYaWbAaWbEDaYUwR04uLUpHXqI1//eQ\nhoeZ6vGkbZCUUO1mlN6RSKkwTQPLcgeC7xRcQXoXMjWVQko33sTl2thS8cNjkAh5cTKKqeEMOWXT\nRh8FXSeSVOQIvviAxdryOYe51fESnt69C6qiM8alfruYX6Wf4LXsw9NzmrNHcL2iNOSFsE+bli7/\nKvss+NBGiMYEBzt0+/7+NbrVnrHhe287HOpU85zz+ueWW0PEZJisA03T25V2rzIJeq/wmjrOQ/sx\n2LgV6hqu/ZqvIkgBfB49t9neI+kehQ1Vc3mptoSOYXhoneDsgBaln95lMjShGF8mUdrp1BEjhw2x\nFzAnOnCK14Op/6/zgoKaQkFrl0IKg0O526lJ91IwcBYunIU168Dnu8ZPWB4sw091+B6msr0MJk/Q\nnzhGWXAzHiMIgAqX4ZRswhw5gxU9gTHegVPUjCpcjVPQjNW3d9G3zAC2jrzE0YJHkIbFjCgdyZoY\nQlHmZpTekbhV0jsLV5DeZWSzzlVPii4uM0SnFP/8pkOqwI/HbzB4Lknp6gDCEAghGOvOsLtc8fRO\nk7B/7he+MXIGb/u/zlZFZ3I/FYLX0/fzL8nPE1Wl00fPP1Fc30mjpgiiU5BaIlf/nlWCHL/grXM6\nQmljteCzeywKw4IfH7B57bTi8q9/qRjgMf9vOZLZQm2RuWC70lU5dhi6O+G+hyC/8Jqv+1qCFLTD\nfV2FwYkeSc9llVKpoCsKu1fDxSE41af4g90mgxOK8aUXXt0w3U41I5SyOfMq1uAxnMI14NXxSAVh\nQVketHUrlDA4GtlIEVOUDZ+FU21Qv/qac7TLhSEsKkMtZGWCgeRxeuIHKPY34bemlyh4w9jlLYj4\nANbIKcyBozj5jai8GuzqBzC7XltkdjJQbB15kaMFj6LmidL+tEmOKSnwuqL0TkMphWW5VdI7BVeQ\n3mXEYu7sqMvVUUpxtEvxnbccyPWQU+olNpIlUmhh+UyUUsi05GNVWbbWmhjzqg8iNYb/wF8jlINS\nWoQaAvplOd+If4kD9i4kc2tGb6QqWlugzUVLia+6Ij17eeCirppWFQieucdkfaXBS8dtftkqFz3O\nEpInfb/g6cBPec3zKR7fmb9ou9JVeetlmJiAx3//ulrW1yNIQTvc15QbtHVL+sYXGp0Ueg52ay10\njcDpPsUzyyxK+5wyumlku3oDq/8gMlKBCpUAUJJjkB/SFVqEoD24lkDApHr4JJxohcpqyHuvhjjw\nkwAAIABJREFUYqEEpcGNeIwgfYkjdMf2keutIuyZDvw3PThlW1FCzM2VBgpQeXXY9Y9i9B7EcBaW\nl7Uo/S1HCx5ZIEovpUxKvYqI5YrSOw3HkQQC3msf6HLbcQXpXYRtS3d21OWqpLKKnx1yePWUxPAK\nytYGkBL8yQxGrv6lLoTgg8VZanMvE5JOFt+Bv4b0JHEVxGdkcTB4If0Y30t+hkmVP33gjYnRiA8s\nE6IxFgX4RPxw32o4OwgXhnU808e2mzzcLDjYIfnhPsngEmtCDRT/IfBtdvkO0VP2cXbdu2HJ7UpX\nxHHgN7+AwiK45/5rH/+tr5L4yQ/hvgevywQU9glWlemA+v4JHQkVnTcnOzB9W+8YnBmYrpSOL58o\nHXYKOMMmdln7dManYSHzGkAIyvMM/F44N6BF6VlvHWZhIbXD7Yi2o/AexkIBFPgbyfVW0Zs4RHds\nHz4zQr6vXt8phJ4hjVRNz5UegWwSWdiEU//wkmYnA8mmsdc4lv/wvPa9ziitCUgCbrHtjsJ13N85\nuIL0LsLNHXW5Gt0jkm+97tAZ1f8uXRPAGzRJ96chz4fp0YKtzu+wNc9Z9Hjvie8zMDzFgCynwhpk\nVObx/8X+CyfsjegpvRkBKqf/fu0TRGkOjCYWb0oyBNy7RrflT/Tq2dTfazb4RItBx7Dku2/J2fdx\n+eMU8FjoDfZ43sIuaiaw5akbnzEb7IND+2Dtej0/eTUudcCbr+jZhegwrG0G49rvPeIXNBQLjncr\nhiZ1eP7IPFEajemVqAMTWhw+My1Kx5ZJlI47EY6pFnYHWvEMH0ckhvXueMOkptBAKZ2fCnBBlGHU\n1FI3chLRfuw9j4WKeMsp8TfTnzhKX+IQjspQ7F83+/+qQqU4JZsxR89gRdsxxi7gFDUjq3YvudnJ\nUjZrJ/bRnv8AElML2+mM0vqAg9fVNncU7vamOwNXkN4l6K1MbnXUZTFSKd44I/nhfklyei6zoMwi\np9xHYtwmmVSEizx6HkvA48WZxaHhXe/ws1N5TKg8dvsO0O+U8n/E/jsJQsyvggZIYHPteKfqfJhM\n6YD4y1lbDvlBaL0EiTTsqBc8e69JMiu0c75vsdFpRogGvPDUmgEeTHwHvGHS2/4UrJsI4T99As6f\ngZ27oaziysdlM/CDb0MyqcXZ8CAM9EPThusSpblBQW2RFqWjMb1mdHTe5qmJpI6xik7B+UHFZ+41\nGVhGURpz/Bx07mFP/gU8o6cwRk4ji5rB8tNQYhBPK3rG9LEXs/l4162jdvQ0nGl/z2OhAlY+laHt\nDCZPMJBoZSrbT1lAb3oCwBvCrtiJiA/pudLBo8i8RmTZZpyi9Vi97yz4VnplippYO6fy9ugUXSHI\nKkGfm1F6xyGlcrc33QG4gvQuIZFIu9VRl0VMJhXff8fhYMecgmusEPiqgigFox1JilcFEEIbme7J\ntanwL1R7nRf7+NtDlfiNNJ8O/JhxlctXYv+Z7DzhKXAQOGS5uvjL9WsxuZSgKgzD2jI41acrhY0l\nOpKpMCz4wV79Hi6vpM5oBo8JDzUb/EGLpLHz6xiZSdKbvrggc/OGmA3EfxyCoSsf98oLcO7MvDeY\nB3090N8DTet1JfEa5IcEVQWCY92KiQTUFYkFn088DXlBLVQvDik+s9ukbxnb9ynHYm+qhd1VE3hH\nT2IOHEbmNaD8eawtNxieUrNjEedjISLbN1E5flEL9vc4FsprhqgO7WI0dYHB5AmGU6cpD27BmskY\nNSyc0q0ow8IcasPqP4Dy5SGL12NXPYB5ac7sJICQPUFxqpuzuS0IJQFBUhpEM4LGoBsHdSfhVknf\n/7iC9C5ASsnkpLuz3mUhp/t1i37Gxe0xYUe9QTTgwxcysaMZcmq1qx4g35LcV2DPnoSzjuLf3knx\nm7NhcsQUfxL6BqaQfCX+n5mYnRdVCCQKE5gvvhbOjwq0qJpILq5uek3YUgc9o3pmsjACT7eYbKoW\n/PKIw6unFjvnZzAF3LfW4Nnp7UqB8/+ONXyCbPV9OLUP3fyH97tfT88JPH7ltnR3Fzz/c10JnYka\nSKcgkgMDffr+dRvAvLZYKwwLyvN0pTSWgqpCmJgnOFNZCHq1kO8YVjx7r0nv2PKJ0owj2Du1np1r\ng/iix7H6D6L8BahIJRuqDLqiarZye3rES8merZQm+nUk1HscC2UaXqrCu4hnhxlMttEXP0JpcCNe\nczoBQAhkfiMyp1abnQaPQCaOLNmI3fgYRt8BDFubnQSQlxnEb8foytmMVyaQCqakh7gjqHEzSu8Y\nHEfi81kY19GZcLk9uIL0LiCRyJC9vHTkctdiO4pfH5c83ypnV2yW5UBFvuBczKCg2g9ZSXUBxNSM\niFQ8VpQlNK2dTvZJvvayw8CkgQebPwl/A5/I8P/E/ooRVQyAwEbPiV5+AlgoRstyIJZeOsZpXYXe\nVtQxDF4LPrTR4NENBm+ddfhl65UzOAWws0HvqJ/ZrmRET+E7/RNkqJTM5i+DcZPulNgUvPaSzh7d\nuHXpY7JZ+P63IJmYE6MzZNIQDEN0ELo6YN3G66ogFkcExREtSpMZKM8TTM57/1lHf0bjCb1y9Nl7\nTfpGl699n3UE+0dr2ba1nsDIdPC8k0EWrGFzrcHpPsnU9HVve79B3Qc2U6BiulL6nsdCmVQEtyKV\nZCDZSk9sP4X+1QStuQQAFSrGKd2COXpOz5WOnscpXo/T+BhM9s2anQRQmuokKzz0hpvJyw6Bshly\n/ICg3O92nu4UlFL4fG6V9P2KK0hXOFIqpqaWKTnb5Y5naFLx7TdtTvXNiaSNVYJoDPonoaI5iDDg\nwYIsJ5JzofXrQg5rw5JkRvLdt3Sep6MAFJ/y/5hJlcvX4n9EjAh675GNWhB6r4+dv7Mp169F1FKj\nzeV5umJ6cQiyNuxZY/D0DoOz/ZIf7ldLOudn2FyzxHalTAz/4X8AaZPe9icQuIVooovn4ORxvZ2p\n9gqB+K++COdOXfk5shnw+WFsRAfsr9sAnmufKEtzBQVhQVu3ImtDcc7CdamOBMvQorR7BD6zx6R3\nZDlFKRwYKGTTzi0EJs5gDZ/AmLyELN7AtkYvxy7NzSGf6IGmDzQTCVlwuv22xEKVBNbhN/PoSxym\nO76XiKeMHG/l3EGeEHb5TkQiijUyN47g1D+M9IQwoydnv7FV8VNMeQroCTdTFT+LVybpcHIIWgZF\nbkbpHcFMUL5huGXt9yOuIF3hJJNZMhm3Onq3o5TicKfiu287zExvhHywukzQ3qtnL2s3BDD9JnUB\nh/a4NZ0XCl6h+GBRluNdDv/4mpwXP6TYYrXS4TTwZuZ+JAYmWRTWdIt+7rg5IaowkAQ8BrHM4hin\noAdqi+DSiHbQN1fqPNFEWvHdd/Su9ysxs13pnsu3KymFt+07mFPdZFc/iSy7QlXzemk9BD1dcN/D\nOuLocnq64PmfLWzVL4Vjg+WByXHd1m7aAN5r5yWW5wkiAcGJHgUK8kMLzV9yeiPWeAJ6R+GZe016\nRpavfW9LONgTYP2unQRTfZgjpzCH21BFTWxfE+FwhyTj6NdxslexcU8D/pIiOHUCbkMsVL6vjnxf\nA33xw3TH92MZPgp8jXPJCoaFU7oFZfowh45j9R1A+XKR1ffhFG6YNTsJoH7qGBOeYi7k7qBp7B0i\nmRFOOQUU+D3kuBmldwRKgc/33sw0u9wYriBdwSilmJpKXfWc6LLySWYUPzno8PppOTufWVekBcOl\nEb3z/Z5tXia8XiyhqPE59GfnfmHvjGT4+TtZ9l5QC+Y7c8UEPbKaEVWEhzQSA8Xlv+jn2vMeUuR7\nUiSkn+xlXU7BnIM8GoOKPPjUToOCsOAH70hO9s1pu8trG3VFXHW7ktm7F2/XKzj5q8g2f/rWo4je\neBmmJuDxjy6e/8xmtas+Eb+6GJ1BSi1cY1Nw7rQ2Ol3HrGVlvsDvgfZehWnoPNb5c7Qz73AsAQPj\nWpR2L7MoPdRl0rxzBwEjizV8Aqv/ICK/mk1NxRy8qHAkZBw9q7xlZwWe+jqdTnAbYqHCnhLKApvo\nTxyjL3GYtDNJSWADYiYBQAhkfgMyr16/l8GjkJ7EqWzBrn5owWanhqmjJMwcjhU9ytaRlyhJdnHc\nKaEoFCToZpS+77FtHZTvrhN9/+EK0hVMJmOTStm3+2W43Ea6opJ/et3h0qj+tylgbbng4rAWMLtX\nGfz+TpN9CS2CHijIsn9yrtUecBxeeTPFxOzUhxaYAkmKABExRZERZVwVsFR73kMWr0ixXhynnyoS\ncrHLvjxPa7fBSV21fXKrycZqwc8PSe2cnxavl58/ynLh6Z0mj24wr7hdScSH8LV+E0wv6R1/Dp7g\nTXyK83BsHYhfXAo79yy+/9WX4OzJG3vOGeGaiMPZUzqn1H/tKKqaQgPT0FuTvKaOtJo/h2sZ+qJj\nNA6DE0qL0ujyiVJHwuFORfOWZvw5hZhDx7D6DuILBFm3ro5DHfoCJpmBjiHJls2FmGub9SjDbYiF\n8lu5VIV2MJQ6xWDyOOPpLsqDWzDE3EWFChbhlG7FHDuv50pHziJLt2CveXLW7CSA+lgbQtq8U/pJ\ndoz8hqqJ47Q5JRTl5uNzPTPvewxD4PG4Vw/vN1xBuoKJxdLIyy3LLncFUilePSX5yQHJzDVJURgi\nAW14yQlo08vuVSa/jvpISYMyr6QrYZBROvQcBRePJ3AWXNPMqcL7vG9TafbSZm+ed/+MYHXYYLWT\n77tA2s6nUzVyubkp7IOcIAxN6kc9uM7gkfUGr550eO20mp1FvLyOkR+Cj+8weXKLefXtStLBd/Tr\nGKlRMhs+qzcN3Sr9vXBkv65krr4sEL/3Ejz/01ur+iUTWqytaYZA4JqH1xUbSAWn+xVBL3gsbQID\nLUZ9JjhKx2RFJ3V4ftdyi9IOyfrmavzla7GG27GGWgkzQf26Zg5f0p/FZAoGxiUbmyKI9Zv13Oxt\niIXyGAGqw/cwnuliKHmCoWQ75cHNWMa8CwBPUOeVJkewRk5h9R9G5tVjN318wWanyuR5cjODvFL+\neTaPv0rt+GHOpvzkF1VjucW39zVSKned6PsQV5CuUNw1oXcvEwnFd9+2OdI1dzHSUCwYmtJzmVtq\nBJ+/z6I01+DElMmFpIWBoiUny+mENZs5OtKVJjG+eP44Iqb409DX8ZDhl+knuXwV6BrzLM8Gv0+r\nUc2F5E5SBJkvKw0xt4EpkYGttYKPbTNp75X86piarcZefk4P++AjW02e2mFSlnvtNZ+e87/GGjyC\nXd6C3fihG/4cl+RUm5733Lln4RyknYUf/LOuct4qqZSet1zddPWM02kaigUZW68QzfHrz3dmbNxR\nOg4q68DwFIxM6UrppeUUpUqL0nWNBfhrt2GMXcCKniQ/dZ7yNRto7dVmrWgMppKKpjo/YuNWHX11\nO2KhhIeqUAspe4LB5HF644coCazHZ+bMHWSYOCWbUZ6AXjnadwC8Yew1H0VaodnNToWZfioSZ3m1\n/LOsm9pPxWQbfRNThMrWYbgt4fctSrnrRN+PuIJ0heIG4d+dnOyVfPtNZ9Z4FPDqTT6XRsDngU+2\nmDzcbOIxBSkHfhP1AoJ787K8PuJBGAZSSsZ7M4z3Ls5hKjUG+F/C/ycvpR7hN5nHmTEqzfz5tP+n\nPO57ga8l/pjBbCOXy8qSiDbgxNI64P2TLQbjccXPDqvZPFTmPSuAz4LHNgo+vcuiqsC4rhO9MXYB\nb/sPUIFC0lv/EIxlinrZ/5betvTI4xCY1/5/9be6srlcZNJwsg1Wrb1mVJIQglWlglgKzg0q8kO6\nOmpPi9KsA7kBXTkdmoLRmOIPlrtSquBwp6SpJkigvkVXF6MnKYm3UlS3mrbhCAB942AIRX25F5o3\n6dnZ2xALJYRBWXAzhrDoTxyhO7aPfF8dIU/x/IOQefXI/IbpudJWRHocu/FDOMUbsXr3IoCwPUFd\n7ATvlDxFY7yNgkQHscFzWJXbETcbLebyrqMUblD++wxXkK5AZsxMLncPWUfxfKvkheNz2aLluZDM\nwlgc1pQJvni/RU3hXEXg18Me4tKgwHI42+VAyCKbkgyeSzE1vHj2OF+M8qT/l/xd/M/plDPtb92e\njzDFlwPfxhZe/iHxJ8TIWfDYiE93sidTUBCCj243iPgUPzmkFjjnZ1Z8gp6BfHCd4NndFg0l5vVH\ntWST+A7/PcJOkdn6R6hQyXV+itfB736lDTkPf2iuNd/XDb/8yfL9jBmyGThxDBrXQDhy1UOFEKwp\nF4zHFeeHtFEta+uWOmgxWhTWFemhSRh7F0SpVHCkU9JU6SFYsxllejCHjlMRO0hRWQlt46UAXBzW\nIyOVhaYeezBvXyxUkX8NYU+pduDH9hGwCsjz1Sw4TgUKccq2YY6dx4yexBg5g1N1D9n6xzA6X8NA\n4VVpamLttOV/gPJUB8HsGM6l/VC1E0y3Nfx+xI2Aev/hCtIVSCplk8m4Zqa7hcEJxbdetzk7oKWc\nIbRRqH9Ca6Yntxo8sdmcy+QEzscNTsY9oBSdrXH8VX4mB20Gz6aw04vnjk3SFBjjvJH9AFm8zFRF\n11pn2GXto9QcZL99D29l7sfBRNc4HSwhCXh1xJPHhEfWC9ZVCJ47ojjdP+fnMacTkmZqrbtXCT6/\nx2JtuYl1g0vDvSd/gDl+AbvhMZzKXTfzkS7N5AS8/juoWwUbt+jbbBu+/+3ladUvhW1rodawCiK5\nVz1UCEFThWB4SnFhSJu+Ullg+nNNZPT3IpbSBrLRGHxmt0nHsJpnWrs1pIIjXZI15Qbh8kZUpApz\n6DiVicOU5Qla4w2A4HS/ojIfinIMqKmH/MLbFguV662iyL+GvsQReuMHACjyr104EuIJYFe0IFLj\nWCMn9Vxp/irs9X9ApucQHieJgaQs1UF3sIm8bBRLpTE6X0WWbQPvtUcvXN57hBB4vW4E1PsFV5Cu\nQGKxlGtmugtQSnHgouR7bzvEpseF84I6RWg0DtUFgi8+YLGmbOG8ZVbC88NeFIKBsyk8YZPRngzx\n6JUuYhRgMKnymJGMeYzxTPCHFDLMbzKPc85Zy7jKx08CG0GDcREHH0kVwJGwa5XBA02Cl08qDncy\nW8WdcYLPCNPN1YIvPGCxqdrEcxPOELP/MN4LL+Dk1JLZ8NnldXBfOKdby5u3axEF8Noyt+qXwnGg\nrVVvhsrNu+qhQgiaKwQDE4qLw1CRP5dRqtBitLZQr2gdmtRzpc/eu/yi9GinZHWZIFJUhlOyETN6\nivJUG43BQQ6lNgJ649SackFuQGgBWlN322Khgp4iyoNbGUgepz9xlLgdpSy4aS4WCqbnSjeivCGd\nV9p/ADxB1KbPMzgWJZiOYuKQm40ybhUSkEkECrP7DWRuAypY9J68F5frx3EkgYDHjYB6n+AK0hVG\nNuuQuNJib5cVQyKj+NF+m7fOqtkWd1muNo44Eh7ZYPDUDpPwErmcP+8ySRkmsWiG8YEsqUmJXGJt\n5xz6OUqNQdLKw8Pe1/iw/9f8PPVx9tm7sfFSbgywzTpMjjHFU/7n+G3mEdIEWFsueGKTQeslyVtn\n1Wws0UxFdOa6aVUpfPEBi5aGhZXcG0EkR/Ed/QYIQ0c8eZd5HrH1IPRcggd+D/Lyoa8HfvHj5f0Z\nV0JKXT2sqls6jH8ehhCsrxT0jCo6o1BdoM1sMzn9E0lYNZ35OjwFAxPwuT0mF5e9UqpYVSrIzcvB\nLm/BmLhEUfIkG31nOJDejsSktUuxqVoQ9Andql+97rbFQvnMCFXhnYykzjKYbGM0dZ6y4FbM+fPH\nQiBz65D5q7Ci7XquNDmKZ+OnOZYtICfRi08m8cskaeHDwkEAZv9BlBlE5dW9J+/F5fpQCizLwLLc\nWd/3A64gXWHE42kcxzUzrWQ6hnW2aO+Y/rfP0vmdIzFtYPrC/RabqhebfzK24l8OSOJhH4kxm8Fz\n6cWrkpbAT5JP+X9MTIX4XOAHnHKa+GnqaWIqBw9ZPub/BR/2P0/EM84Dnr18Nf5n5AXgyR1+BiYU\nL59UszvOZ8a1ZoRoRR584T6TB5qshduVbhQl8bV+EyMxRGbdp5CFa2/+ua7EG7/TIulDv6/PZD/4\nNsRj137cciDEnCgtr4TC4qsebhhalHZG9YxubRGMx/XYxEw26dpy3baPxqB7FP7D/SYXh5ZPlCoF\nR7sU9cWC/BwfTvkOyCbJmzzODu9h9mV2klUWRzoVO+oFXktoU9NtjIWyDD9VoV1MZfsYTJ5gIHGM\nssAmPObC/FoVKMAp24Yx1qFb+NGT5DQ9ym+tHeSkBsjJjmDh4CAw0Jd01sgpSIwgSza+Z5Vfl2sj\npXLNTe8TXEG6gtB7610z00rFkYpXTkp+elAyMyKcH4J4BtJZ2LPa4JndJnnBxSe7U30OX3vZQRR5\nmRzMMtp9PVV0xQ7rEH8R/CqdTg1Fxgj/kvw8PbIagBqji78K/Q2rPRdIeJJUqRjPpZ6gOTeKUbyK\nl9rUrNtfCB3KPyNE80Pw7G6DD22yiARu/eRsdf4OT+8+7JJN2Kt/f/lP+LYNL/4CSsph5716lvT0\nieX9GddipsR54hgUFF5zztI0BBuqBBeHFJdGoL4IRuL6AsaR+gKmuUIL0tE4XBxWfPEDWpROLqMo\nbe1S1BUJ8sMmsrgZ6cshPHKEezz7OJBtISm9HO1S7GwQel7Y54MNty8WyhAWlaEdZGWSgeQxeuIH\nKfKvJWBdNi5hBXDKWxCZSczoSXz9BymvbuK50OOYToqyVCcG83eVgRnrxRg+oWeb36PKr8vVkVLh\n81kYhvv/cbtxBekKIpnMks26e+tXImNxxXfesmm9pBWdQEf5jCf0n5/dY7Kr0cS8zDGazCi+97bN\nq6cUVtBgKmqTjl1PBV3xhcB3eCzwMu3ZJl7MfIjD9g4kJhExSYN5lr+IfAOfkWXIb1OcsRh2Chly\nSnkh/hA9Y3OvwzJ1cU+hK7lP7zD42HaTgvDynADE5CV8bd9B+SKkt/0pWO+Cq7mvG44c0PvmwxF4\n7kfL/zOuhVJ6tlIp7UoPBKCy5qoPsUwtSs8PSrpHob5YEI1BwKPneIenYGMVRKf0d+lMv+JLH9Az\npcsmSoHWS4qaQkFBWKByapD5q/APH+Ue820OZbcxZftp69ai1DCEroje1lgoQWlwIx4jSF/iCN2x\nveR4q4l4yhYeaJg4xRtQvhzMoTYCAwdpyPXxfO5HiXnyqIu1LQg+E4CRmcTsegO7+l7Xgf8+QQhc\nc9P7AFeQriBcM9PK5ESPzhYdnTZyB71akySzOlT+c3ssSnIWi7sjnQ7ffG06k1SAk1HX1aIH+Jj/\nF+z2HaA9u45/Sn6JJCFMbD7i/RWrzVM8Ffo1AoiZkvysQXe2ir+J/yfOOE2o6VOwd3pLkFT67x/a\nZPCZ3SaledcOtb9unAz+w3+PkY2R3vJlVKRieZ73ck62wcVzsGM3vPT8u+eqvxozbXvTAiV15VBJ\nqGu86sM8pmB9lcGZfknvmA7SH56aC8wfmpwWpTGYSsGJXsUX7zfpHFZMLlPDRQHHLimqCgSFYYEK\nFCDLtmIMt7NbvMbR7BbGMgHO9CtaGqa/H4ZxW2OhAAr8jeR6q2ZFqc8Mk++rX3iQEMjcGmTBGqzh\ndoLRY6wWg7xS8FH6gmtonGrFUvZCYapsrM6Xccp2uA789wF6c5NrbrrduIJ0hWDb0jUzrTAytuK5\nIw4vtsnZPMmcgA6V93vgkztNHlqnQ+7nM5XSMVD7Lihu5vpkq+cwHws8z6BTwtfif4SDxSarjb8M\n/y21Zhc1vi5MBBKFLb38KPFpfpr+BA56Dss73RJ2lJ4Z3bPa4EsfMKktWkYhOo3n9E+wRk6TrXkQ\np+b+ZX3uBex7C6JDEM7RQvB2MStKpyullzp0HNXa5qs+zGsJmisNTvVJ+sahvlhXRyM+vdVpcJ4o\nTaS1ePz8fSaXRubmf28VBRzrVlTmCYoiAjxBqGwhM9LNbvUix7KbGU4F6IoqttUZc+/3NsdCRbzl\nFAeaGYi30ps4hK3SlPjXLfouq/+fvfcMjuS6s3x/92aWh/euYRtoAO19Nz0pQ0ojUaIocSRSw9HI\njMzMRuzE7qeN9+G9eRFvY9/b2J2dnRlJpAzlKIlDSaRGGpEj0bsm2zfaotEG3ttC+cy878MtoAAC\nTQLdBdOaOhEd3WhkVmZVZdU9+f+fc/6+fOyy3ciJKwTGztIUOcMbRffTkbObmunTeJ35ga8CMDMO\n/HUBpchMbloHyBDSPxJEIvFMu/6PCP0Tiu++bHFpSP/sMnREUjgOm8oEX7jdZEPh/C9PpRRvdTg8\n8Zp9ncYURZM8x6OBn2Fh8s3Q13CR4Bv+b3Kn93UMbBLSwoNEoXglvo/HQn+d1JQKXIbCUQLb0Yvt\ntg2Cr91j0FxhrMgYRWOoDXf7MzhZFcS3fQFWaiqOUvD73+iKXffV63qIw6KEvzN3sccZwMcNfk7f\nXSkd6IPeLtiy4z21sx6XJqVneh0GJqG2SE9umpniNDgFWyq10Sma0NrPzx4w6BtPHykFONWtKM8T\nFOcIkCZm1Q6GxqLc6TzDycRW+kNehqYUWzfMub7XOBbKZ+ZTEdg9a3SaivdR7t+OFO+65kwvdsUe\niIcIjLbRGDzO4cKPcCH/ICWRq+QmRudtnnLg+zIO/HUAjydjblpLZAjpHwmCwehslmMGNy+UUhy6\n5PCTN21mCt4BjyYIhoSP7zL46Ha5IBppbNrh8ZdtjneqpXbl58HLNCYWXwr8iFwZ5Mfhh9ntOsrn\nfD8n19TOJEso3AgEgtdit/JM9CEcDFzEUQhspQlEXTF87QMGu2sXalrThtgU3mPfAhytG/W+dz7n\nDWFqEl57Qf/bWX6CxTge/tHYzq2qnx/JFlrVCLm8Z87W+2OGlM4YMcZG4cJZnZH6HsTc6xK0VEhO\n9zgMTulM0sEpbTKLJnT7vrVCm5zittZ+fnKPZGgqvaS0rVtRkisozREgBNlVTZwdzeE6ftNoAAAg\nAElEQVRu+2nOJDbTNeXRc+8r5pDSNY6FchsBNgT2Mx67wmCkjeHoecr9OzDlu8xWwsAp3oLjySVr\n8B1qpk9xquBu2vP247WClEY7529O0oEfGsIp2Z5x4K8RHMfB53Nn2vZriAwh/SNAImETidzgApfB\nmiMUU/z0LYs3O9S8Oe6RBFQX6pD7xtL5bW9HKV465/CTN53ZcPwlQwAoTGLE8fFn/idpMK/wUuwO\n7nK/QqN5eZbvOEoRE27cOHRaG/hB5M9xE8eV3BcEJTnwpTsN7mw28VxHqP2SoRSeU08gp3tJNH1S\nx+isJC5d0O3i6yCjNvC3xgEedc5xl+plIxN829hGhZqmmBtkeELqCumM3nI6CKeO6ylS7mubZXxu\nQVO5pK3HYTior63BSSjKTo4WDUJLhWA8pI1Pp7oV926TjIcU02kkpWd6FMU5gtJcfa0UV5bzxnA1\n91hPc85q5sq4G8e2aCidYzZZ41goQ7qpytpHKDHMYKSNvtAxSv1bcRsLzVYqZwNOYTM5A29RFLrM\nxZx9dGZvI2oEqAmd4d2fEGO6Hzl4ErvqYMaBv0YwjEwm6VoiQ0j/CBAOx7GsTPbozYxLQw7fedmm\nf1L/PBPNg4IPbZF8aq9BwDN/CRucdPj2izZnepdfE80pcxEP6WvGwcU97pe40/M6HVYdTeZFco3p\n2UJN1DF5Pv5BGoxuHCSPhb9EgRxjTBVg4SHbo3j4oMmf7DAXDeJPN8zu13B1vYJd2Eyi+cGVryi9\n9gIMDy1rl5monydkKzUEuUf1AFBAjL1qkJ/JTRhKUcWN5JiqJClVKQd+NKLTABpb3tORHvAIGks1\nKR2dhqoCHZBfmqMnOw0HYVO5YCKktcBnexW3NUmmo2r5Nz7vgdM9ioIsQXmeQAhBTWUu/9q/iTud\nX3PZbqB9xI1XhagumVOFXPNYKIMK/y4UDv3h4/RMv02hdyN+s3DBtsqbh1W+h7zBQ7giw/RktTLo\nr2fAW0vT1OEFpFQmpjGuvoK14VYwMu3j1Ucmk3QtkSGkNzmUUgSDaVwhMlhV2I7i9202vzrqMCMB\n9pha01eSA1+4w2TrhvlVUdtRPHfK4Z/fcVhuYdyXa1Bc72GsK56UeAgajYs84v8ZYeWnWAzjlakH\nDTte/jb4X/iw9xVKjWFeix/kdGILY6oYDzHubxzmoTvyKcpenYqOmO7Hc/L7YPqI7v4GmL6VPaBt\nw69+tuzdBHBUFHNclvIV57QOR/f5wLLwSsUBp59DopwukU0jkzdwgnNSLrUzA+JxPVWqYoPOK70G\nsr2ChhI9wnMipIcUDEzqv4NRHQXVWCqYDOukhI5BxfZqQdxKjSNNB872KvICgoo8gRSCxkovv+pu\nZpd6lT67kgsjHvIYprwkO7XTOoiFKva14DML6AsdoTv0FllmGTnuyoUbmx5UxR5yx9uIRsOMequY\n9JRyKXsnLRNvYjC/mKAd+H/ALtudceCvMmw747ZfS2QI6U2OeNwmFsu0629GjIUU33/V4nSv/nlG\nbmk7cFuT5LMHFobcd486fPNFm47B5VVFhQklDR7shMNYZ2I2/ilPjPMfsv4RExtDJDCTBTchwFaS\n/xH6G/a4jnHA8w7DdgGPh7+CRyS40/0SX2o8RcX221bvy9tJ4D32LWRsgvi2P0fl1qz8Mf/5xzA6\nvOzdJnDzP41d/Gf7GFkkpxhYlm4vjwwhDYPNzgiTwsubspxWNTYr07ihV9NxdLvesrQjPSsbKqqu\nuXmOT1BXrEnpVBRKc6F/MjVudHQaGkoFkyF9yXSPQUOJQCk9kCFdONenyPEJKvN1OH5zhcm/dNbS\noM4w7uRzZjhAmXWR4rI5E6rWQSxUnqeGfE89faFj9IQOYQg3BZ6NCz8TQmKWtOKZ7mYi7hB25RMx\ncziddzubJt/GreYz/FkHfk4tKvDeU7kySC8MQ+JyZdr2a4EMIb3JEQ5nRoXejDjV7fD9V1JueLeh\n9Xp5fvj8LQb73hVyPxMB9evjqSlNS4U3R5JX5mbkSox4KEVk8xniv+T8d7wijgNIBJNODj6pF8en\now9QJvv4uPd3KAT/7/R/4oD7Hb7g/wGt2f0kdn5lVduKrvZ/wRw6hVV5EKvugyt/wPNnUmamZcAG\n/i/jIA877WxkUreS7WT5e2IctmzX7WYpqVDT5KkYv5O1tKixWTJ6Q6TUtsGdPObF8xCPQf3Ga0ob\n8vyCDYWCU12KUExrSfsn9WSnibB23TeU6PY9aBNUaa7AMCCdSXPn+xUBD1QVSDwurXP9t6slFKl+\nwspP22g+NeFDFJRXpTSW6yAWKstVQpl/G/3hk/SHjxGzpyjxbUEsogPNyq8kGplmPCGwDC+W4eFU\nwd1smD5LtjUxb1sBGANHUKYXlVe34LEyWBnoTNLMwIK1QIaQ3sTIjAq9+RC3FL86YvH7M6mMUCk0\nGd1VI/iz20yK3xVy3zHo8K2XbLpGF3nA94Hp0b6X6RFrVnKIsnjI+xQP+5/GJWwSyuBcopkj1m62\nuM4iBFy1NjAlTD7ufREh4NXYrXzM+xy7PG14RJzY9i+uXAj9IpCj7bjPPYXyFxPb8WWQK2xiiUTg\n+/+kX7xlQAE/lC2UEuEj6qomTJYFDU3kPPggsVMnoL8Ptu3SuaaOQzYJ6tUkz8taatUUxuxogRuA\nbaeIcE+XJsBNrVpnuggKAoKKfF0pjSW0675vAjaWasf9WAhqi2E8rK/XsZDOxHUnTXfpwoUBhc8N\nGwolAY+gtljwWmc2foIkcHFqooKGiX8lt7xm/s3QGsdCeY1cqgJ7GY6eYyByionYVcr9O5Bi4XVa\nkp3NUMQmaEuUMFDC4GzebWQnRimO9czbVjvwz2cc+KuImdn2cqUSQjK4JjKE9CZGLGYRX265LIM1\nQ9+44vGXLa6M6J+NZHvc54aH9hvc1WLoWd5JRBOKp97RwfjWcqMrk0O0HRscCxCQU+qiINTJ/5nz\nXymTg7ikzZidzz+FvsrhxF4+53sKn4jiIPlZ5FN8zvtrhICQ46HRdQW/jCBQJKpuxa65K02vyhKQ\nCOE5+k8IJ05819dQ/mvrItMCpTQZDU4te9c2UcQbZhXfsE9izDThi0rg4S+S01RPuLwW2s9Cd6c2\n4kTCkEjgEtCkxnlHlFJAFHdSVzh3DvqyMbdSOjqi0wLew/xTlK0d76e6FbYDOV5NSlvKdWD+RBhq\nklVTQ2qdqcelx5BG00hK2wcUbhNqiiS5fkFZruBwlwcXFhYGJ6fr2DT8FDklFeCeoxld41gol/RR\nlbWfyXgXg5HTDEZOU+bfjkvO1zkLARsCJpcjBjGHWZJ5JWcnCeFiQ+jc4g78/mPYG27NOPBXAUKI\nzCjRNUCGkN7ECIXimXb9TQClFG+02zx5KGVCkkIbRZrLBV+4w6SqYP4ic6bX5rGXbPonFnnA94E3\nR2JFU615X55B1VY/uQMX+Rvv3xFzXLikTQwPfx/6awadcv7c/0NqzB6EgH+JfpQHfc/iljYKhUvY\nswuk8hUSX40K5QyUwn36xxiTnSQ2fhS7fPfKH/PVP8DZU8veLYiL/2rs5T9bR8kj2cv2+eHRv4Ts\nbAIBD2Hp0WacKx3QeUXrO00XhEMIw2CDE6QbTbJ86Nfd4UZJqVv/PR3U1cPaBq0tXQQlOXq056lu\nHT3m90DvuA7MHwrCZBiqCzUpdSVb9kJAwK2NeOlCx6DCNKC2SFKcLcjxCU73SwRgY3AisomWwR+T\nnZeN8s/RWK51LJRwURnYS8yeYjByit7QEYp9rXiNnHdtBzU+h/aQiYOYJaUD/o0MejYs7sC3QhhX\nXsSqviPjwF9hKJVp268FMoT0JoV212fa9esd01HFj9+0eOey/nmm4+Yy4f6dBh/ZpvVys9vHFD9+\n0+aV84rl3mu4vPrvRESTUdMjKG/xkV/pwRoJ8tXwf+PN2F7yzSABGeaJ8KOMOoV8OfA9Wl16HGaf\nVUa+t4tSEUQl63MCUMIAFPEdX0EFSq7/BVkmjL53cF/5PXZePYnND698y7KvB575+bJ2Uck/f2sc\n4EHnEpsZ07+QEh750qyeMRDw6PG+Xi9sTcYWXbmkyWFhsdaXmiYFToQoBlO4yULPQLcQXHddzLY1\n6XUcrSc9dQzKKqBw8XGVZbmCXL+grUdhSF0F7RmH7dUwOAmTEajK16TUbULcAsvWAxzS2bC5NKRA\nQH2xpDJfv++Xh/UVaWFwMr6ZLcNPku2K4+TWpq6NNY6FEkJS5tuOFC76w8fonn6bfE8tAdd8c5Jb\nQoXX4ULIYO4tx6SnjEuB7bROvI5815gLgZN04O/JOPBXEJm2/dogQ0hvUmh3faZdv55xcVBniw4F\n9c9S6G5wTaHgi3eYbJwTcq+U4linw/desRm5jmhKYYCdSEkes0tNKlr8mG6JshV7O3/J48FHOeA5\nSo3ZzfPRD2KS4MuB71EiR5KuekF3YJpmSzutxAwZRSBwsGru1i3DVYIIj+A58TgYLmK7vwGuFV6A\nY1H47j+Atfz+889kEwFD8Um7I0Ut7n8Imppnt5klpKArdpu3QTikK3mODbUbYXgQTBOfk8CLxTA+\nsrCQQALBdXt/544aVUo70n0+HQ21CMmvyBf4PXCmV+E2wDSgZwx21UL/BExFdTzURFi37B0glgC/\nG9I5wfjKsNZa1xfrNIBgRNE7ASCwMDmZ2M7WyV+SE+vCLmxJTalaB7FQRd5Gsl1l9IWO0j19CJ+Z\nT56net52AQPyTcWVyPx3NmLmcDFnF02Th3Gp+ddjyoFfhwosflORwY0j47ZffWQI6U2KSCQThr9e\nYTmK50/ZPHvMYe5bJAV8eKvkgT0G/jkh9xNhxROvWRy6lDI6LRtz9sspMymp9yGEDhsPXpniyPgm\nPuB5mVs8b9OeaGDYKeRjvt8hsWeJ8qjbojoukIh51VEBOIHSlZ0X/244Np7jjyEjo8RbP4dTsHFl\nj6cUPPUjGBpY9q7nyef3nkb+Q/wIrpk3Ytc+uP2eedvNI6SgtYAbm8Hj1Y7+yQk9j76/F6SBVIos\nLEbx4k+S0hnxxHXVbVRy1KhS+u+OC5oQNzQuqkvcUCBxmXC2T+F16+u3Zwz21gn6JrSGtDQ3SUrd\nmrSG4+A1IZ1fTVdHdLegoUQ77wcmFSNBAEECNyetHWyLPEf2+Ans4lYwk62CdRALleOuosi3ib7w\nUXpDh1Eoiryb5sVC5bsUQin643M+W0IQM/wMemopjPcSsObrmbUD/zBKuFD59av0bP59QSkyIfmr\njAwhvQmhlGJ6OpaZXb8OMTqt+N7LFmf79M8z605ZLnzhdpMtVamqqKMUb3Y4/OC1VPzTdUOAJ1s/\nbkWLf/YYkSmLwas2LeY5HvL9gnGVz4/Cn+MB/2/xi0gq+1Q4WAb4HblIqx7iu76K8q2wmWgOzMvP\n4+o/glW2C6vhoyvfqj/8Jhx+a9m7hTH4v80D/E38CEUzo0Dz8uGRLy845wWEFPQ2VTVQWqZJ00Cf\nnkc/PMjMXYYfiyAuPFptCEAMicl1fAHMhMwqpauIPV1aptDUsqjOsqZIE9WZSCYH6BuHfQ2C3nEd\nkF+SkyKlPjdMx3SMmZ3G76fOEUXcgqYyQUuF5PKwmv3MxJWbk85utluvkD34Bk7+RpQ3V/9yHcRC\n+c1Cyv27GIy00R8+Tsgapsy/bV4sVJlHMWHBhDXnxkBIomYAqRxiZg4FsZ55NyICMMYuIIJ9OKU7\nMw78NGMm/ikTkr96yBDSmxCW5WRm169DHO90+P5rNu+W9t6+SfLZ/Qa5c0LuR4KK77xscbzzxlft\nQIFBUZ2Xid4E1TsCGKbESbKBgfNR8u0Bvpb1XQSKb4e/wn3ef6PW7AKS3ATFhRyL6shMNeBdrfq6\nD2NX7Lvh81wq5MQV3Gd+gvLmEdv5VTBW2FzQ3wNP/2TZuyng/zH28xG62KmSo0WFgC//tTYzvQuL\nEtIZFJXoSuWFpAO/ZTOEpiGhP+ceHOJJEqoAF4oJ3Hi5gf6442gX/sgQtJ/T1VrvwslXdcUCy9bu\n9xwvxB3oH4cDGwXdY5qUFmXpSCifS2fpTkbAlNq4l67lvGtUEYlDS4Vgc6XkbJ8zm4Mac1y0sZft\n6hBZA6+hfEXzY8nWOBbKY2RRlbWPkehFBiNtjEYvUu7fgSH1tS0EVPsceqKSsJM6J0e6CJm5VE+3\n0VV4kLLpcwtJaWgQ2XcYe8PtGQd+muFyZWbbryYyhPQmRDSaIJFOoVYGN4RYQvH0YYuXzql5Ves8\nP/zZrQZ7641ZcbztKF466/DkW3Zaxi9WtHrJK/cweCFKbj74i9woG6QpmOyLERuN8rWsxymU4zwd\neYB97sNsd50B5pDRQILmaVeShqYgACergvi2R1dvobOieI5+E5EIE9/xZVRW2coeLxqBHzym9aPL\nxAuiirA7wJ8mzqZeuf236bb7InhPQgqQnQstW+DyRe3Ar6zWEolIGAADNeu4V2gX/hA+AtyAlty2\nNQmdmtBErboOcnLnbSKEHjEajmv3e54fohYMTMDBRkHXqG7VFwQ0KfW6tDFqNJTUTZM+UtozpsP7\nN1fpSump7tSgiKjt4rQ8wHbXcbIG3wTHwiloTJHONY6FMqWHqsB+gol+hiKnGQifoNS3Dbehb16k\ngFqfzaWwJKHmDMUw/Ey78tkx9Fvaqx6kdPLkIg78CMblP2BV35lx4KcZHk/m9VwtZAjpTQjdrs/0\n69cDesYcHnt5YWj97lrBn91qUjxnxnv/hOLbL1mc7UvPe1dU5yGryE2wL8b0qE1+rQ+X1wABVlwx\n2B7hT71P0eK6QLu1ke2uNmrN7nmPMWU4FCUMXGp+qx5hgJDEdn8dvHlpOd+lwH3uKYyxdqzaD2JX\n3bKyB1MKfvlTXSFdJiIYfMe3h7+JHprNDMXnh4cevWbE0PsSUtDkcGtSR3r1kiapBYUwpefdz2h6\nZ66gLCz68eMlsXzDk0iG1VoW+ANaT9p2XDv+i0vnbyoEjWWCqYji0hAUZunW/NAU3NIo6BzVAfl5\nfh2a7za15nNgcubGJ32ktHdcMRVR7KiRbCyVnOxycJJvQcQyOGMcYLvvIv6RY4hgj9aVyiSpWONY\nKClMKgN7SDhRBiIn6Qm9Q5G3GZ+pP2OmhGqvw/nQ/PEI064CokaAvT1PcrnuIQomzix4PQUq48BP\nM3TbPjPbfrWQIaQ3GWzbef9FLYMVh6MUr16w+fkhZ17+YsADf7rf4M7mVMh9wlb87pTNLw47aQsQ\n92YbFNV6GOuKMdaTILvYJK/Cg2MrpBQMdUTYa7/Jh71/IKbclBrDeMX8kqyDYtBvUxQ336UblQjl\nkNj4UZyynek54SXAGDyB++K/4GRXrU5V9p039J/rwI9EMw9aFyhjjvj33o/Bhppr7rMkQgo6omnz\ndh3Mf6ldE+e6jTA6PLvJDCkVQDYJxvASQ+JbVgtf6QqsUloaEMjSbv/TJxZtaQsh2FQuGJ1WXBmG\nkmw97344CLds1KQ0moBcH7PV0R01uoI6c74zwyBuFH0T2gy4t15SXSg42aVmSXo4ITlv7GNb/gC+\nsTaMoTPYRc2plIY1j4USlPq34JZZ9IWP0j39FjnuKrJduhvgNaDUregIS+bS+DFvJUpIdvb+M0MV\nH8QfGUA4izvw7ewaCMyPmcrg+uByGRhGRgqxGsgQ0psMsViCeDzTrl9LBKOKH7xucfTq/P9vqRB8\n4XaTyjkh91eHHR57yebSUPqOL4HschdDHVHCEzbSFFS0+kGAlILQmEXV4DEe8f0UBJhi4fWiUJzM\nj9MyldSwzVn4BAo7p5rE5kdWrZ0pohN4jn0LgNievwJPzvvscYPo6YJfPrns3RQQwmBU+tmvBlO/\nKCqBj33qPV+vJRNS0A7xphZNTi+c0RXSrTtgsH92k7mkNIBFAkk32RSwDC3IjLnJcSAR11FQbo/W\nlE5OwMZN+lxmjikELRWCoSnF1REoTRqaxkJwy0a4OqID8rO9mpQqJbitSdIxqFKHS2pLbxT9EzA2\nrbilUVKULTjTm6opTscE7WIHWysdvKOnMPuP4ORUp6Z8rXEsFECBt548d3WSlB7CbQQo8GjHfLap\nCEjois6ve/f7N2I4cZqGfk84twHp9iNikwt0pebAEZQSqJVOp/h3ACkzU5tWCxlCepMhFIrhpOPb\nPIPrwoV+h8dfthmdkxXqNuATuw3u25oKuY9ZimeP2vzmhJPWsHC3AcoUhMdsnCTPLG/14fYaoHSy\nz87OZ/iU6xcIce2Z6F3+BI1BNzK5xWxLVRggTZ376Vl8mk/aoRw8J7+LDA2QaH4Qp6h1ZY8XDsGP\nv3NdulEBHDPKudPp1q9XIEsTufs/o0npe2BZhBSSTpda/bjnT8NAP+zYox34yTLjXFLqxiGLBEdF\nCRWElt4idxxwJYPzEwk9tSG3AK5chK6rmhi7Ujo6KQStlYK+cUXnqI5+GgtpYnrLRrgyogPyszx6\n5Gjchnu3Si7061gzR+mIqHR8jQ1M6mSLu1skPjdcHExd88EodNhNbNlUhGf4JGb/YXD5cXKq9Wu7\nDmKhst1llPg20x8+QV/oCJYTpcTXqnNM3Yq4DcOJ+Tc5PYEWDGVTO3YIR5g4xVuR070LzU7jF5GT\n3dhluzIO/BtAZmrT6iFDSG8izMQ9ZbD6sGzFb07Y/PakM2+CUm0R/MWdJg0lqTin9n6bb79o0z2W\nvuO7kgu4nSSd/gKTRNQhq9Agr8KDUgohBXsGf80d8T8glGariy1DUeEghSBg64VuhtAoYSCUTaLp\nEzjFW9J38u8Ds/MlXD1vYBdtJrHpgZVdPJUDv3hSaweXiXgyoTVXRfHigD8LwtO6nX7Xh973vJdN\nSGdQUgp1DUkH/tVUOz8Z4D9zVAFIFJWEeEVUUc4US67rzDjubVuTUsfRcVSdlzVZ29g0LzlACsHm\nKkHXqKJnTMeajUzrwPwDDbpSGk9ObxoOan3pJ3cbnOtTWE6SlKapUjo4BUNTivu2GSRs7cafwVQE\nrsQq2Ly9Bc/oaczBExCfwils1tXsdRAL5TPzqfDvYShyhoHISabivZT7dyCFQaXXYSguCNpz46AE\nPVnNRGQW9ZOHkeEhElV3IKeuLiClMjyE7DmEXX1HxoF/nZjJI81MbVp5ZAjpTYREIjOdaS0wElQ8\n9pJF+5wOrSHg3m2ST+428Lv1F1U4rnjqbZvfn1FpCwafcSnPLNyeLEl5s4/ohEUipqjcEkAkvyjz\n4wN8ZPQppBVORjYthELRnmNRE17oHBUo7PwGEi0PrVpFRQR78Zx6AtxZRHd9HcwV1vG9+QocfXvZ\nu1kIXCiCuMghqdvLzYNwGD7zech+f4nBdRNSgJw87cC/dFGTxOo6/f/R+QG2Ap0VWs8Ur4tKfMTJ\nWqqu1LZ1SL9taaNTJKzb2p2XdfWwqhpy82c3N6QmpVeHFb3jmpQOByESh/31ulKasHU26fAUTEfh\noX0G5/sVMUtf0640kdLhIAxMKu7fKRkLaZIK+vMzHobucC4te3bjmriIOXIWOdaBXbwZjOT1tsax\nUG7DT1VgP+OxywxGTjMUPUe5fwem9FDjc7gakcSc+XRzyF/LgLeO+uBx3JMdWBUHkMHeBZ97aUcx\nL/8bVvVdGQf+dSIztWl1kCGkNxEycU+rC6UUR6/q4PrQHB5R+q6Qe6UUbT1aKzo4de3Hu65zmPPv\nQIFBRWuAyKTNRF+C8mYvbr/+khRC8MDAd8gK9yTJ6OKr/JmcOJun3LN0dV6r3nAR2/WN1XPo2nG8\nR7+FjE8R2/YXqJyqlT1e1xV45qnUtKJl4AL5FBPFM+Oo375Ht7S374bdB5b0GDdESEFXKLfsgN5u\nuNqhK3l5+bMO/BlINCmtI8g5UcgQPsoJL+0YtqWd/palCer4GBy4TZPSU8f18eZUD00p2FIl6BhU\n9E9oUjo4BXFbsLdOk1LL1lFQQ1O6Yvm5gwYdgzq+yVHpC9EfCUL/JDy4R9IzDuMhfX2bUldv+6a9\nNO/djxEZxhw9hzFwArugMaVXXuNYKEO6qcraRzgxwmCkjb7QMUr8W/CZWdT4bC6GDOb3PQRBTwkd\n2buoD5/FN3EBJ38jJEKzHRJmt0Q78Et2gWf1dLJ/LBBCZOKfVgEZQnoTIaMfXT1EE4qfvWXxWrua\nR+3ueFfI/VRE8eRbNq9euIGxn0uA6YaK1gCOrQheibC1xYWVnZoisnP8RTaNvgxcO15n1GVTGtMR\nTzC3VW/qVn3zgzhFzdfYO/1wtT+DOXKaxIbbsWvuWtmDhabhJ9+FeHzZZPSIKKGVceRMEE9tA/R1\n67b2Q3+mq4pLwA0TUtBazi3bteHoUruu4NXUwejIvM1mKqVVhJgSbl6nnE1MLE1Xalng9eq/HVvL\nG+6+F3q7dPVQOVBTP1s9NA1NStsHHAYmtdGpfxIcBLtrkqTUAY+pyepkGB65xaBrVDEZ1mTUbTJP\nCnO9GJ3WZqeH9msj1XSS9LoMGArC4LSkeddOhGFgDp3C7DuMCpSm8m7XPBbKoNy/C4WiP3yc7um3\nKfA2kOcupMLr0B4ymPsJVwgSZoC23INU2/1kT5xDuXNwPLmIRGhBC9/seQ07UAErne/7RwalFH5/\nRke60sgQ0psEGf3o6qFr1OFbL9j0zSk85fnh0dsM9tTpkHulFIevOHzv1fkGp5WA1wWFjT7cPoO8\nSJzP7RQctbyajCqF35rk/u5/QCq9oi9GOmwUwz6b4vjChVXgYBduIrHpwVVrUcqRc3jOP40TKCW+\n/Ys6fmil4Djw9I/nOdSXinE8tIliNjOmX1eXC5o3azJ4y13630tEWggp6ArvplZdubtwVlfytuxY\n8PxmDE9FRMklzk9oYifDLKneZ1k6BkkpXSm9ehk+/HEYGdTHHB2BxubZ981l6OlJ5/odhoN6nGjf\nOBiGYHu11pTajiaeA5OalD580GAoqNvtdpKwpoOUjoU0Kf3MPq1ZjSY0KfW4dKlut6EAACAASURB\nVJj/6DQ0b2lEZVdiDGsHvgKc/AZ9/a+DWKhiXzM+s4C+0DG6p98iy1VKma+SfFNxJTI/DkohMKRJ\nW9YeSr2QN96GsGNYeY3I6OhCUjp4HGUlUEWbVuX5/DEgoyNdHWQI6U2CjH505eEoxYtnbf75HYe5\nyojdtYJHbzUpSobcj00rnnjd4p3L6hqN8fQg4Elq8Ipc5JW78QuHh+psnh32EFcpWvHZrv+OLzGO\nSppuFsOZvDibgqk7/FmNqZBgenUAvmvh2MgVQTyI9+g3wbGI7fo6+PLff58bwWsvwonD4HIzG02w\nBDjAfzP28hfO2dTc+A/cB2++quORHnx4WZWztBFSSFZG63Vo/vnTmozu3KtJ1NzN0KQ0mwSNTPJN\nuZWdanBpZifbTrrrhX7dOi7AvR/X1eaOCzq4v6kF3Pq6cpuC1krJuV6HkWkozoaeMfC5BVuqUqTU\nZWjCOBWBT++ThGLQO55eUjoe0sT3wb0Gp3sUlq0f1++GnnGYCCk2NZXjFG/FGDmLOdyGCA1gF7WC\nNNdFLFSep4YCbz19oWP0hA5hCBf1WQ2YAvpi82/gHAQuAec8zRQWVlIwfgojPIhd0IKIjCx04E9e\nRo52YFfuX7Xnc7MjoyNdeWQI6U2CjH50ZTEVUXz3FYuTcwYZ+dzwuQMGdyRD7h2leK3d4Udv2ExF\nrv1YN4psLyQs7VLeUCrJrvchBHyiLM5AVHAhbM5WMm8dfoa6qaNJMrr4St7pT9AQdC2IeFJSt+rj\nrZ/V2rPVgFK4236IEewm0Xg/TtniYzbThisd8Jtf6LZ6fHkdhp/LJlrVKE0kS+UzRqLebvjQn7xn\nCP5iSCshnUFpuSamMw78rbtgfITZ0UWkSKkHm91qiMfFVhqYwL8Us5Nt6zR706X1pRfO6va96UoR\ntfoUUfO69EjPMz0OYyEoyoauUcjxCZoroHMk1ULvHdd5oZ/cZQA6bD+dpHQirHWr9+8waOvRY30T\nSed/16iOhdpUk4NdsQc52Yk5cg5j5KwmpS7fuoiFCrhKKPNvYyB8kr7wMaL2JFtzNxO0JePvioNy\nAAO4KMoprtpK7lQ7xtRVnOwNiPjUQgd+dAzj6mtYdXdnYqGWgIyOdOWRIaQ3CTL60ZXD2V6bx16y\nmZxDMpvLBV+806QyX3/pD04mCWvXyr0HOV69WEcSurr0qb0GI/l+HASbAzb1fodfDnlmF4+K0AXu\n6f9hcu9ULuVcRIWDRBBw5Jyt9JZCOVjFW7EaP75qC5LR+ybuzhex8xtJtK6wmz84pXWjiYRuQS8D\nZ0UBr8pK/tw5l6wkC7j3fnjxd0sKwV8MK0JIQTvfN7Xq1nLnZU0QYzGdj5rEzMhRA8VeBvmVbMSl\nLIpZQhar4+gLx+vXj3n+DBy4HcoqNEFtOw7lVTo6CV0RbS6XnO5xmAjrMaNXR6AoS9BUCp2jqdin\nnjFFOA73bTUIeBTtA+klpZNhbWi6d6vUwflCZ6Rme+HKsCISh6ZKD3b5HohPY46c0SH6ebUoX8G6\niIXyGjlUBvYyHD3HYOQUE/Er7CvYRn/cTdhOjn9NvsMKbWq7bOdQXrebQHQIc7wd5c5FKQeh5r+o\nQsUxLz+XceAvARkd6cojQ0hvAmT0oyuDhK145qjN820pQ5LLgAf2JEPuTYHlKF444/Czt21CK/QW\nZHv14jwd03rR+7ZJPrXH4EzCzWjCwCcV9xUn+MOwyZStW0b+xASfvvr/YSpNtGYIx1woFJeyLTZE\n5i40M/56CS4/sV1fA3NpppwbhQgN4TnxXTDcxPZ8A1z+99/peuHY8NSPdIi8J5mvuUSEMPk7Yyf/\n0T5OFkkie8cHof0sjI0sKQR/MawYIQU9i37LDj2B6uolKC7RrfTIfHf9zDWyXY1wRJbRrfzUEnx/\ns5NS+jXNytGV5gtnYfM22LxDSwZOHYesLE1MAb9H0FQmaet2mIpAfgAuD0NFvqCuSFcoHaWLr92j\nirgFd7cYFGfDmV6VVlI6FdHE9PZNkvYBTUpjFuT44NKQbuc3lBo4JVtQ7iyMGbOTJweVs0E/yBrH\nQrmkj6qs/UzGu3UsVKSNg4Vb6YwGSKi5N0aalDpAZ8zDhtptuE0DY/i0Nrq5c5D2/C+ylAN/++oN\nw7gJoRR4PBkd6UoiQ0hvAmT0o+nH0JTiWy9aXEmNB6e6EL58p0l9MuS+e8zhsRdtzvevTFU0ywMB\nL0xG9OJ8W5Pk4YMGdcWSkbjk7UlNJD9aHCfhwKFJFwiBdCw+0f2/yEsM6zD7a+hGO7ISNE27FkQ8\nKenSrfotn0fl1a7Ic1sAx8Zz/NvI6BjxLZ/Hyatf2eO9/AdoO6bbq6Hluc7+t7GDe51ONolkqz4r\nG/YcgFdf0A77uz58XURkRQkpaI3slu06qunyRS1TKCpZEAs108JvVBMMCz+vU54ybb0XlNJktLBI\nE92L53U26e33aLJ+9pT+fd1GEIIsr2BjqeRUt0MoqmfcdwxBXZFgQ6Geca+UzvTtHNU3hbc2GlTl\nw8luTUrTFQk1FYVQTLGjWtA5ql+DmKXPqX1AH6C+ROLk1uDk12MOt2EOHodECKdgk66Gr3UslHBR\nGdhLzJ5iMHKKgfBh9hZs4mo0H+ddDXkBJJSgNyapq6xF5NVgDp9GJqax/aXXcOC/juMrRmVXrMrz\nuRlhmhkd6UoiQ0hvAkQiCSwrox9NB5RSvH3J4Yev20ST+eZCwEe2SR7Yo0Pu45bitydtnjnqsBL3\nAT4XFOdoN3A0AVurBJ+/1WTbBonLECgFzw55sJSgwW+zOcvh5/0unOTCd+vgP9MYPDY7WWkxTJg2\nhTEDEzGbSqqJiEAoG6tsF1bDR9L/5K4BV8e/Yg4ewyrfh9Vw78oe7FI7/PZXkJ29gIy9H54TNVhC\n8nHnSop0PvgIvPAchELw6UeWFIK/GFackIJ2vTdv0Uyv/axu3ddv1JXdOZghI5WE8GDzC7GRXQwv\nLRYqEobSMk30L1/Uof333q//ffGcNlg1tYBhkO0T1BULTnUronHdDWgfhE1lkvI86B7T5FgK3UIX\nAvbWG9QVw7FOha1SU8puFMEoxBLQWCoYmNSvgeVAlhfO9ysMCbXFEuUrxC7dgTHWjjl8BjlxJRmi\n717zWCghJGW+bRjCTV/4GIPhQ2zNraI7Xg7vopgGiogjGYpJ6osKcMp2YIx1YIQGcLyFCCuy0Ow0\ndBJiYZziFR7fe5MioyNdWWQI6U2AjH40PYjEFT960+KtjtRrWZQFX77LZHOlropeGnL49ov2vMpp\nuuCSsKFAE9FgFDYUCD53wOC2TQY+d2ppODRh0h83cAvFx0sSHJ8U9MX1l2Dj5DvcPvSLZE10cd2o\njWLM41CQMBaZ1yTAnUNs51f1ArsKkOOXcJ/5KcpXSGznV0Cu4Bf61CQ8+T1twHGceeae90M3WTxr\nNPBX9inMsnLtsC4u1eTr2DuwbRfsOXjdp7YqhBQ0ka5tgLw83WIeH9MkdWRo0c0LiVFNkB+IZnYz\ntDRSGpqGiiqt0+28rFvYn/gM9PWkopIam8HjJdcvqC7SpDRuaVPR+X7Ftg2SoqQTf4aUXhpSuAzY\nUWPQVAZHrqhZveky42MXP+2YlgFU5AvGQproCqENjOf6FB4XVBdqOYtVvhcx3a9D9AdPYhc2gTt7\nXcRCFXobyXaV0xc+ykjkEA3+HIbs+V0HhcAlFFO2ZNIS1OZ4sSv2IiKjmBOXUWYAnMRCs9NUJ8ZA\nG3b1ravyfG4mZHSkK4sMIV3nyOhH04OrwzbffMFmKJj6v9ubBA/fYpLjE0TiWk/6ryfnRz6lAxJo\nKBGEYtpgkevXc73/ZLskLzC/3TeegFfHNWH7UFEcn4TnR90gBAXRXj7e/Y9IUnmji5GHS9kJ6kIp\n0jcb8STdCGUT2/bnKz8VaQaJCJ6j/4SwosR3/SXKv3zt5ZJh2/DzJ2B0WBPJ4NLGZin0aND/Yezm\nq/ZpCpo36txN0BXR3z2r9ZMPPbrkEPzFsGqEdAZlFToJ4MIZTZ6aNy8I0J89Nyw2M8Z3xWZ2MrS0\nrNLgFFRWQ3BSa1cjEXjgsxAKQsd53cKvqYfsHPIDgqp8MduK97rgbJ9iT50k168d9wpNDjsGFV43\nbKkyaC6Hw0lSaqRJuheOa/Kb59c3hlYyDso0tH414IWqAgnSxC7bCcrRLfy+wzjZFahAybqIhcpx\nV1LkbaYvfIzJ2DuUuGwmndZ5chIHgVsoRhMSS0GlX2KXbEeZHozh0+hvp/lxcQKQiSmMSy9g1X1g\n1SQJNwMyeaQriwwhXeewLIfoTG85g2XDUYrn2mx+dTQ1Xz7LA39xh8GeegMpBOf6HL79kk3vePqP\n31QmcBT0TmgDx4c2Sz6z36AiT85OWZqBUvDrITdxJanyOOzMtfl1X4KI8OK2w3yy6+8I2FOAec2I\np0G3RVXEXKgbFRKhLKyK/Vh1H0z/E70G3Gd/ijFxCav+PuyKfSt7sBef14aTqlro71nybgL4gbGZ\n3c4g2wJxEErrA4tLddWr/RzccueyQvAXw6oTUtCO8KZWTZp6unT7fnJy0XKjicMuhvkRLbQyurSs\n0uBkipQO9KZMX243nE868EtKobCYwixBeZ6ulCp0SP6ZHsUtjZKAh9nPn0DrOrO80FJp0FwBRy4r\nHDSRFIJrqKaXjnBcE1C/W6daRBNQENCPe7pHkesXVOTrgzmFTTj+Em126j8C0tQa6HUQC+U3CykP\n7GQwfJrpxDGyjHHCauc8UmojcAuH/riBVyqKPQonrx4nrx5z5DTCieMYXoSar08S2JiXn8facPuq\ndVNuBrhcBqaZ0ZGuBDKEdJ0jHreIxzP60evBRFjx7Rctzs3JCt9ereOcCrMk01HFz9+2eeGskxY3\n71xsKgO/W3BlWBGzYF+D5JFbDRrLJMY17q5PTBl0Rk0MFJ8oidM3GeR0PA+Ae3u+Q0XkErZ0I9Xi\nNyhxdMSTVy1W0VAobz6xHV9ZtXgXo/8o7ku/w86tIb7l8ytbaWk/C8/9Ws9aHxlaVn/3HVFKN1l8\nWnUgtu7UBBTg7g/Dy79PhuA/csM6wTUhpPrA2uzUdRW6rkB5BURjC4YECHS9bAcj/IY6qgjiXgr1\nC05CaYWujA4P6puBj9yvnennTkPbCT2KtHIDxTmSomxBW7fWbEqpCeCdLRKPCX0TqXM536+JYXO5\nwaZy3b6fORuZBlIaTWhSbBo6n3Q6BpX52ux0ultRmC0oy03e2GVXYBe1YAyfwRw6hQgPp0L01zgW\nymNkUZW1n5FoO+H4cdwMEBN7k+0Tff424BLQFZUUuBR5LoXyF2GX7cQY70BGx3EMP6iFLXzz6gtY\nRa3gzVu157SeYRgSt3t1NMP/3pAhpOsc0WgCy0ozW/p3gFPdNt952WZG7eA24XMHJHe3mBgCjnc6\nfOcVm6GldXWXjMZSKM0VXOjX7vlN5YLP32Kyu1biNq/d5glZ8IcxNyC4Mz9BgRHj2ZEAjjTZNfo8\n28dfImoEcDk6N3KxR+r12ZTEU3fuMw58ZbiRyia2/Uupmd0rDBEZw3P8MRCS2O6/AvcKtjInxuHJ\n7+t/e3wLoo6uBYUeDfpDo4W/dtpw48DYqNafBrJ0la+3Gz70UR3xc4NYM0IK+rls2aFb9lc6ICdX\nV9GshTc3AmhmgmMU4yOxtAD9UBAKku77sVEdPXXPfbBxkzY6nTutTWENjZTmGeQHBG09Wi8K0Naj\n+OBmicuYT0rP9SkKswRN5QabysUsKVXoFv6NktKYpeUDKK0nnQhDU6lu5bd1K0pyBCU5yU+bJxer\nfA9y4jLm6Dnk6HmcolYdm7bGsVCm9LAhcIBgYoBQ/B0MNUhc7J1zfN1TkcDVqEGFxyFgorWyFfsQ\n0TGMqU6QblD2QlLa+xbKFUDlLm8YxB8rvN6MsWklkCGk6xzhcMbQtBwkbMXPD1m8eC5VTakvhr+8\nR4fcT4QVP3rD4s0OlRaTxAxqimBjieDCAAxOQVkuPLTf4J5Wg4Dn/Rel3wy5iTiSEpfDgbwEb1zu\nYthdTtX0OT7Y9wQx6cfjhK+pG+3xWVRFjHe16hVKGEjHIrHhduzqO9L3hN8LysFz4nFkeIh460M4\nhSs4M9u24KdPwPgoNDRDb9fSTjH55++NnTzinKfEtHQFdGaa09adcOIIFBbDxx9MS3V3TQkpaJLU\nsgUsW5NE0wR/FsQWD8evIsQQXkK4yGEJsqFIOJlTGofJCV1pvv1unVV6pUPrSvt6oLGF8iIXWV6t\n2fSamgye7lHct9VACD1adAZnejUxbCyTNJYJjl5JWfrSQUrjSVI6c98/HIQd1YLhaTjVrSjPExRn\nJz91pge7Yg8iOok5chZj4ChOfgPKm7fmsVBSGFQGdmM5MSZjLyNUkIScOwlNPwcH6Ioa1PocPBKQ\nBnbJNpTLhzF6jsXMkgIwRs5CcGjlp6utcyhFxti0QsgQ0nWMjKFpeeifcPiHP6S0oFLAJ3ZLPrbD\nwGXAoQ6H779mM7G0AtqSUJ4DO2oEV4f1NJqABz62w+ATuw0Ks5a2EJ2bllwMm0gU95fGSXQf5mXX\nbrKsMT7Z9XcYysaWXlxq8WshJB3yEnJ2NOi7lKkoXxHx7V/S7cVVgHn1D7h6D2GVbF/5KVC//62u\nSjU0acKzRAjgWdlAFdPsPdiqneK2rUdiKsDj1pXX6wzBXwxrTkhBvxf1G3V01fkzukKaX3DNqnIe\nCRSKHrIoYAnfRfGYbs87DkxPwZlTcPB22L5Hx0FdateEbeMmqioCs+Ymn1sTw9M9ij/ZYWA7ehb9\nDM70aGK4sVTSUCI4djW9pDRha1KacPRL1DcBt2yU9E0oTnUrNhQICrOS17EwsIu3agI3eAqz/x2U\ntwCVXbkOYqEEpf4teIxsRsPP4uDClnNvCAUSnVHaE5U0+GxMidbK5tXh5DdgDp9BOImUGXJ2T5Ch\nfozeI9g1d67K81mvyBibVgYZQrqOkTE0LQ1KKV5rt3nyrZRDviQHvv4Bk42lkpFp+P4rFkc701cS\nLcqCgxslQ0HF2T5913xns+SzBw2qCxcalq6FmA2/G3GjEOzLtdgQ6eCX4Vos6eYTXX9PXmKIvsAm\nCmO9i+7voIgYCr8jZ6uns6166UYoh/jOv0QFitP23N8LcrILd9sPUZ6c5BSoFawknDutCWlhEYyM\n6GrpEnGRPI6IUh5uDSBKSjR5AE2kNlRrvWVtvZ7bniZCvS4I6QzKK3Wo/fnT2ileVALh0KKbenHI\nJk4HuRQthZRalq7GCgnhaTh5DPYehG07dTX24nnd1q6upbouH0NqvWjAC9G4Jp+f2GUQt+aT0tPd\nisoCTUpriwXHO1OkNB2aUis5HcpKktKuUcU9rZKrI5qU1hQJ8gMzpDRJ4HJrMYfaMAeOgh3HKWjS\nSQxrGAsFkO+pI89TzdD0T0iIchxROfu7mTioiCMZjEsa/DYz3Er5CrHLdiEnLiFjkyjmD94QgLTC\nGJeex6r9oBYB/ztExti0MsgQ0nWMjKHp/RGOKb77ssWxztT/3dOiiaHHhFfOO/zkzZSW9EaR49XE\nM27rOJrpGOys0TrR1kqJucy75udGXEzbkjzT4e7AKO3tR7iYu5c7B35K/fRJrmRtpSp09pqt+gGv\nTXE8VX2ZbdVLE+kksGruwa66/uzMZcGK4Tn2TWRimtiOL63sxJexUfjZ9/WCWFC0IPj9WlBABIPH\nja18vXAI7+e/AL/5hc7VzC+AaESHy0cj8OnPX3cI/mJYV4QUtBGnsUVXlsdHtTzhGpVSAyggxiVy\nyE+S0ve80mfyX12mfszj78COvdCyFfx+TYTbjkNBEbWt5diOdtZneyEU1236B/YYROJaAgNJB3y3\norpQk9LqIsGJNJNS29EmJ8fRz69zVPHhrZKOQUVbt6KuWJDnTz1z5S/GLtmOMXpeT0Ka6sIu2gxu\n75rHQmW7yijzbWYg+D1iNKNE/uzvHAReqZi0khmlPid13+XyYZfvRcQmMII9KCSaxqYgUJhXnseq\nOAiu1Rk9vJ6QMTatDDKEdB0jY2h6b1wctPmnF1It+CwPfPUeg+3VBv0T8PjLFmd601MV9ZlwT6se\nh/h6u2IkCHXFgkduMTmw0cDrWn4V7XJYcHrahUBxf1EEz6nv8EzpF2mZfIuDw79m2FOF6UTJtqcW\nXfwnTZvCuMHMqMC5z1QoBydQSnzbX2iCtQpwnf8F5uh5EjV3YW+4feUOZCW0iWlyXLdHLy6tVT8T\ngfUduYWPmX1UfONr2pH/2gt6g0Rcz4QPTmoN6d70Evl1R0hBE6TWbdB5BYYGdEpBdHFNqQDyidGH\nn+ykpvS9r3qlmZ3box/z6NvaWNXQBBUbNCk9fQIMg/rdtcQsQceQIscH01FtaPr0XoPpKLPmQ4U2\nG9UWCxpKJFUFcLIrRUrTUct2lI5oc5JGp54xxX3bJOf7NSndWCrI8c05kjugzU7BHozRcxjDbdiF\nzXou/BrHQvnMPKoCO+kN/oCY2ArCN/s7Swl80mEkYZBQUOWds9bIpCzBnfWeulKz6yWsvHrwF63K\n81lPyBib0o8MIV3HyBiaFoftKJ49avHbk2p2pOCuGsGX7jLxuwX/1mbz9GGHSBrUDi4J97QIaook\nr15QdI1CQRY8uMfg3q1y/sK0DCQc+O2wBwfB9iyLpq6n+FfPXXicKB/t+SZx6eV83i1sCh5ZdH8b\nhekI5s1iEnK2VQ+K+M6voXyrs/gZQ22425/Byaogvu0LK0uCn/sXrUPc1Krb9kuEAF4TlZjC4dav\nPawrdT97QlexsrJ1O3km6PKhR7UWMo1Yl4QUkpOHdsDIoE4VCGRpcr4IBJBDgilceN41Qf2asG3d\nxo7H9MSrTa3agd7YrG8mLpxBTI7TeFsz03HJ5WFFrg+mInChX/HQfoPJsDYbgSaJp7oVDSWChhKD\ninz989xzvFEolaq4Wg4MTinu3SY526s43aNoLJNke+ccyXBhl+8GO445fBqz/zBOzgaUv3jNY6Hc\nhp8NWTvpmnqKmNgCGLMyFEsJPMmMUrdQlHjmrDdC4OTW4BQ0Yo6cRdjxBaRfAGb/YZSSqIKNq/ac\n1hoZY9PKIENI1ykyhqbFMTbt8L9/nxrt6TLgC7fr8ZudI4pvv2jTsfiExGVBCritCXbWSt7sUJzp\nVbgNuG+b5MG9BqW5S9eJLoYXRl1MWJKA4XBf7A1G+s5xovBDfLLrf+K3Q7xQ/igHhp/FVIvrIoOm\n1o3OQM+1d1DSpVv19fdiV+y57vNbFmJTeI99E1DEdn19ZfMKT5+AF5/TofUTE9d0iC+GAfz8m6zh\n0c/sR1RtgMNvwsmj+pcy2ae1LDh4p3ajpxnrlpBC0oG/FRIxbchxe95z7KoXhzgCXZ9fAmxLk9JE\nHI4fhrqNevTolh06G7XjAqL7Kk13bmY8bnJ1BHJ9Oobp4oDiswcMxkLzSenJLkVjqSalpbk6Oiqd\nmEu+ogmYiig+0Co506s43eOwqVySNZeUCoFT1IzjLcAYOonZdxhMH05uDZStbSyUW7qoDGylc+pF\nEqLxXcH54E5mlOabinzX/NdR+Qq0rnT8SlJXuogDf/wiYuwKTuXe1Xg66wIZY1P6kSGk6xQZQ9NC\nHLls8b1XHWJJjlZXDH/9IT3689ljFr85oUiH5HZfveDuVoOT3XDokiJhwS2NkodvMagvkcgbXER6\no4JjU1p/dL+vk9y2x/lp3f/Bfb3fpTTayTtFH6MscpmSaOeii/2EYZNry3kRT7MtNeXgZFcR37rC\nQfQzUArPye8jp/tIND2AU7J15Y41Mgw//4FezEvK9GSgpZwielrNt4xtfGlfAf59+3Qs0dM/1gvz\nDBEVAnx++PTDK+KKXteEFPTzb2jSQfrtZ7U+V4hrDhkwYXZe2JJJ6f/P3ntG13Hd2Z6/c6puRM45\nEQABIjAHkaISFalgWbYsOch2u587ubvtfm/mrV695tOs+TJvrXlvpvu52/ZzDpKDnCTZypkKpJgB\nECABBuSc4011znw4FwTACJAACErYWhQI3ltVt+reW7Xr///vvd0eM3Jx/LBp22dmQ/VG896eaUSc\nOkH57nL6Ij7aBk285+CEybj//C0WA+PQfwEpXZslKU6XpMVB3SKN6FwKYwEzY7q7TFLXrqnvUKzL\nlvgvsHXT8bmolDLsvhPYvccQwWGc1HJISr2htlBeS5LmXUPzRC1KzK7QChzMnHDLlEWWRxF74cff\n9uFkb0MEx6JzpReTUhnox2p5D6dwz7IR7RuJVWHT4mOVkK5QhMMOodD8VcMfZ4Qimh+9E+HDM+Z3\nIeAzWySPbLI506P5zusO7YsQ+1mdC49uNpXW1+oUI1NQmSN46labDfkS1yKEaSsNz/d6cBCUe6dY\nf+K/sy/pIfImG6kceZ+WmEoa47dwa98fLnmRD6KI0YaMzlwUolnU0rSQTJUy4bpf63xgt+3D1fYu\nTko54fLHl+5CFA7BMz+C0RFYvxnqa+e12PQxelauZWeqovCJxwzBeu430NtjFPrT6nKt4Z6HTCVr\nCbDiCek0svMgK9eQpmnF/GVI6TSVmvf8puOAy2V+1h2D5BSzrYqoP2pjPfLEMdZtL6BLJ9I+ZEhp\n/xi09MPnd0h6x2BgPLo6DcdbFeXZkuIMSXIs1HdcPO+4WBicMHGjW4sMKT3RoajIlvjcF5BSbxJO\n5ibk0Bns/nrk4GmT7JSQckNtoWJtiHFl0DrZBSIq2NMahLm9VUBLwCLfq/BeyLWEhZNejfLEY/Vd\nPFcqAKlC2GdfJlJw17LZzN0orAqbFh+rhHSFIhiMEA6vKuzbBhz+7VWHgShnSI6Bb91nkZ4gefZA\nhNdOzMyRXiuK0+HJ7RbjQcELRxVdI5CTJPj8LRa3l1v43Yt3ads3ZNMXtvAIxWPt/5PA5BinEnex\np/sXjLhSeCH/H3iw43/hcy5twaMFWLP8Ro3Fk0JbboQKES59GJWxPMbVlV6vjwAAIABJREFUYrwL\nz/Efg+0jsOUbJrFmqfDiH4x9zrpqqDvOfPXUAqgTKfRbsez55pcNYT55Ava9CQVF0Ns705pOSYOH\nP7tkVjY3DSEFQ9SnU5YCAUOYLtPCn3aAUNGfVyWnShmhj1bmvfD6ILfA+KMmJEBDHbL2KBWVKbS7\nMukcNqS0dxTah0ziWvfILFKqoKZVUZFjKqWJfiOIgsVR3l+I7hHIThSsyxac6NA0dCoqc+XFwkY7\nqlafGjAm+j1HcZJKID79htpCJbs0SsfTHRwH4TlfBddCYIsZj9I1fgfXJb4KOj4flbIWu68e4QQv\nPVd67jUiGZuXNqHtBkNKgcezKmxaTKwS0hWKQCCMs9gB6zcRtNa8eDzC7w9rnOgV5Y5ywVO7LBp7\n4LtvOPSOXd82MhLgqZ2muvGHw4rTvcZ25tHNFg9vkiTHLC4x6Q8KPhgxJ7BHJ18jsWsfzxd8i73t\n3wM0z+f/E2WjH1EydvSSy09INSen/rzFEwKhHZyEQsIVX1ieFqAK4z3yXWRwmND6ry5tpODxw/DO\n60YIMjwEgflHg47h4llZyl9889NIT1Tt/asfGxZz7yNQe2RmgU89bmZTlwg3FSEFI/SqWG9iQMdG\nZ0jkZTCbjF6VlGpliL/WhpApBUXFkJljKtSn6rDqj1OZK2iOKaR7xJDS7hHz58kdkq5hU7EEIzyq\naTHEsDhDEuc13qYao5i/3lS22bZrAmju11RkC/JSBPWdmpNdiqpciedCUiotnPQNaGlj9dZid36E\n9qejE3NvqC1UlkcxFPYyHI6AiIqctINC4hWaSSXpChqP0ks1hrQ3iUjWFuRIMzIwfGlS2rYPx5cJ\nccsn4FpOCAE+36qwaTGxSkhXKCYmQujFzLa8iTAe1PzbKxEae8zvXhf8/T0WhWmSpz9w2Nd4fccl\n3gtf3GmqKc8fVRxt0QgBd1dInrzFIifp+gRLl4KOturDWrBWd7Lp9HeoT95DxeDbJEQGeDPrKYbc\nmdzX8QMsLr7oB1D4tLigVR+dIpUuEBbBLd8wVjPLAFfjC9i9NURydhEpunvpNtTbA8/+zLR507Og\ns21ei00fox/KSr7w8Hri8nPNA6/+yaQy3XE3KGfGED+v0GSvL+Hs201HSMEIkao3GUuo/l4j/rrC\neWlhpFTPHO/WcybZqbTcqNDLKuFMI1bjCapiRjibtI7eMSN06hw21dEndkg6BmdIaVhBTZuiOldS\nkiHxe4y3qdbgtjh/Y3utuHBfTnVrdpZKUmIFDZ2aU11m2277gmcKYeJF43Kxemuwuw+BVqiUUtOu\nvwG2UEJAvk/RFnAxNX1ghAQdJoJFjFSMOJLBsKBotkfpbNhenKxtEJrAGm29NCntPQbBCVRaxZLv\n03JDa43fv3xhB58ErBLSFQitNRMTn0yF/bGWCN97c8ayqSJH8I27LRo6NT98x2HoOmI/3TZ8bptg\nV6nFG/WatxoUUyHYtkby1C6LsiyJtUSqyYMjNh1BC7cO89mm/5OIcDHkSqZgop66xNs4mP4ID3R8\nn+RQz0XLKjQ24ryIaW6r3mNa9WsfQ6VVLslrvxBy4BSeht+g/GkEN3596WbFQkF4+oemirRxq7lg\nzwPTF8bXZD7FOQmUPnCneaCtBV56zqQSffpJeOMlI24CeOIpiFvaudubkpCCIUwV601luqP1qqR9\ndiVxQd6gXR2G+K6rMpXCqo3Q3op9poEq3UZT6nr6JwTxPmgfhJFJeHy7pG0QhqZJqWPa9+vzDCn1\nuKCpx3RZZufVLxbq2zX3VAr8bsHJLk1TjyGlrgtJKaBjMnDSq7H6G7D7ahHjnThpVVBYckNsoaSA\nQp/D6UmbyDRZFxboEGFsYqIepQEFed7LkFIhUWmVKE8iVl89FxvogxxtQXbX4OTvXvJ9Wm74fK5F\nL158krFKSFcglNJMLYaJ5k0ER2l+8m6EfY3md0vCV26VbMi3+P5bznXFfkoBD64XPLrZ4nCz5rkj\nisEJKM0QfOlWm21FEs8lLiCLhdEwvDVkMtIf6f4hSZMtHE1/iA0Dr9PjLeSl3L+hePQIWwdeueTy\nRgE7Kx2G2a36CE5SCeF1n1seZWt4As/h/wAVJrT5b9H+lKXZjtYmQan5jCEmdcfm3XcVQBuxnLDS\n2PuPXzD/6ETgVz81UZZPfNlUof78e7PO0nLYefuivvyIo+kbh5Z+o8b+wTsO758MsqvkJo1aFAJK\nysHng9ON8/6sLZiU9veZ2NaK9cYHtmojjAzhOl1P5dQpTqVvYnBKEu+DlgGYCgk+u1XSOsD5gIyQ\nYyqlG/IlpZkS2zIq/Ygy4RmLGX6nMaT04U0SEJzq0pzp1VTnikuLIN1xRLK2IUdasQcasPpO4KSs\ng9w1N8QWyiUhx6tomrDMrK0QM6RUW/gtTVfIwhKaTM/lv386Pg+Vug6r7wTCmVtMEYAMj2GdeZVI\n0b3L5iqwHPB4bCzr47M/NxqrhHQFIhJxCAY/OQr77iGH//GKc95jMCsBvnW/pLEbfv6+w8R1FJV2\nFsNXb7NoGYBf71e0DZqc+89tt7in0prrI7gE0Bpe6HUT1JKyyVo2d/+Rnqy7KO5+jaDl5w8F/wUl\nbB5p+zZuZU7kUaoJQBiNa1aa9OzqE9IG6SK4+RvgjlnS/ZjeGXfdL7BGWgiXPGiMwJcKxw7Ce2+Z\nzPXhocvmrF8IBYSQPG2V89VvPYbljs54vf821NfAlh2wdSecbYKa6PzoU1+/JhN8rU10bMeQpqlH\nc7xV8cFpxet1Di/VKPafUdS2GYKigamQZnvx0t78LDly8o1VU2P9FX1KZ2PBpHRkCJpOGTW6223a\n90LgPllDxUgdDelbGA5YxHnhXJ/GUYLHtkha+meR0gjUtik2FkjWZkqEgLN9xhYu0W98RRcLEQUN\nHZrHt0uCEWPmf65Psz5PYF+KlFpunKytEJ7C7q/D7jqESihAZ5XcEFsonwWpbs2ZqVmussICHMIa\nvFLQGrRIsBXJriuQUm+iSawaaUEGhi7RwtfYZ18hkrsb7I9Hq9u2bVyuVeunxcIqIV2B+CRl2L90\nPMKzBzXT+q2HNkh2l1l89w2H+s5rr4oWp8M/3CMJRiTPfOjQ0KnxuuGhjRaf3mKRFrc8d7W1Yxbn\nAjYeNcWnz/03dEIBcvgcbhXgxbxv0O8rYHfvb8mfmIm/nCajTrRVb/4temGXtjHAt7wIFSK07nOo\nlLJl2Rer8yPc517DSVxDuPKLS1e96e6EZ39hVMcZWdDeMq/FNMaG6NdyLQ/eXkpiyRrzwEAf/P5X\nxl/ziS+D7YJnfmIy1lPS4LY9V1xv2NH0jRkhS32H4uA5xTsnFS/XKN5uUBxp1pzs0rQOaAbGzWHJ\nThKUZgjW50t2lhgFdseQJj1ekJ10ExNSgNQ041d6quGyiU4X4lKk9IokdWLMCH3WVZs51oI1kJKK\np/4oFf3HOJG+mdGQTawHTvdqLCn41CaL5j7NyJRZRTBKSjcVGlLqaPMeBsKQEgtTizg9EYyYKuwT\nOyxGp8zsaku/pjpPXHoMSEhUWoWxUOo9jt11ENxxqOx1N8QWKt7WeAS0B2eRqygRdnQYW1g0T1lk\nujVx9hXOy7bHzJVGprBGWi49V9ryJk5yOfiSlmJXlhWr1k+Li1VCugIRDH78M+ynwor/9+UIjd3m\n9xgPfPNeydk+xbMfqWtuq6XEwjf2WGQlSX5zQHHgrCG7t5VJvrDToiD1+o3t54vJCLw64AYEe9u+\nSzKTjOAnIdjFh+mPcTJxF2lTrezp+vmsGugMDAmd3aoXhowKiVBhnJR1hMseW5ZWvZjsw3Ps+2C5\njHjKtUQV2WDAzI1OjsOm7aaKKSRXM++ZvvAdEen4Y31UPflI9AENv3sahgbgkc+ZiuvgALz7mnl8\n76OQnonWmrGAqXY2diuOt2o+aFK8fsLh5RrFgTOK2nZT7ewegYmAqbQVpgrWZUu2rpHcUS55YL3F\n3ZUWW4sk67IlBamStDhBWrzgw9MKrWFD/segxRcXb9rq507DxPi8Fpn+lE6/V1etnAamoPaYiRr1\n+U0YQmEx3pNHKO89womUTYxFbPxuQwB90RvOc1FSKjCV0Np2xeYCSVmmIOyY+N+pEGTGw2KG4Y0H\nzWzrEzskA+PmNbUPaqouR0qJWigllWD31WL3HIXQGCprA1RvXnZbqHSPJhCB/vDsz6cG4ULoETQe\n41HqU/iuVBQUEpVaYRKr+i89V2p37kcJHzqpcCl2ZdkgpVjNtF9ECP1JlXKvYIyMTH6sK6THWx1+\nc0CdpxibCwXbiiQ/fte5ZiLqsY0/YXKs5OWamerqxnzBfdUWif7lr0o91+OmPywpHT3E/Z0/Yipt\nC/6eA5yN28Cfc/4WhOBz5/5vMgPNFy2r0MhZSUxz1MvCAstNYNe/oJcypvP8i3HwHPxXrJFmgtVf\nNhWQpYDW8Ptfmtb6hi1mlk6pebWGNTCEhxfkGr7yz19CTFeUjh+C539rWqFPfoWwAv2T7+HubKbf\nlcybt3+L/kmLvjHNpaZkYjyQFidIjTM/zd8FSTEsWAD3728oeoYd/o9H7Zu7bT8bwQD89mkzArEA\nzCaiV23ne7zw5b8yNxNgbi5+9VN6RxXfL/obJoQXnwumwvCpTZKNBZIfvevQPqjPf2+SY+Af77Vx\n2/Dn4w4fNJnzQ04SdA1z3V7Gs7E+T/DZbZJf7Vc0dGrKsgRf2mVhX+HzIqYG8Bz9PnK8EyephOCG\nvwTLBy/90UStJiTC578G6UtnSwbmOLzS76JzdqVUR0DYuHQbYTKJsW0eSQ8SM49OtRhtxXP0B8jg\n8EWPaSCcUkVky18v3g4sMyxLkpy8DONSnxCsVkhXICYmgtftm7cS4SjFj96J8F7UtsmW8NXdgu5h\nzZ+O62u2ZbmvSvD4dovDzfDbg8aftCBF8MVdFrtKrYsNq5cBjROSk+MWHjXFp1r/FXK24e38gGF3\nOs/nfxPH8lA19A7Vw/vmLKfRKGZETLNJqECjbB9ShQhVfgGVVLws+2KffQVX1yEimVuIlDy4dBs6\nvB8+fNfMKQ70m8rbPL4I03T1aVnOF57chZ2SwlgA2rsmaXqrlmMJG/gg915eOwmHP+piV9urAHy7\n6O9omfAzEYKkGFPtrMiRbCuS3F4u2bveYk+FxZZZ1c7UOIHfI66pyh7C5lRnhJwkQXr8x4SQ2rZp\nMU9MmPbyPDH7BuuqR8KJmEp5XoERo/n8UL2RmPYmStv2U5uwniltvucnOjRpcYJ7qyRnejWjAbP+\nqTDUtSu2FknKsyQTQU3HkIkDzUuBydDikdKeUYg4gk9vtqIVd03PqKYy5wqfG5efSNY2xESPETv1\nHMNJKYOq7ctqCyUEFPgUzZOSoI6+S8ICHUaJJDy6hikdR2fQe1mP0jnwJBDJ3oocbkUGBuduC7Cm\nehHN7+EU3XVTxo0a6yf3qtJ+kbBKSFcYjOXTTWgNcxV0DDn8j5fV+XSVvGR4ZJPgp++ZFui1oCoX\nvn6HRe8YPPOh4lyfJikGHttqsXe9JMF/Y1qjQQde7HOjheDuzp+SkpCI7D6Kg8VzBf/EuCsZnzPG\nQ23fwdZz1RUCcb4yan4HjYXAQQsLqUJE0tcTKXl4WU7gcvgc7hNPo72JBDf9NVhL1J7qbIffPRNt\nzWYYiyZ5dUfz6bnRl0QhhYk+XrRv5aUaM+N5tMPilL+ENm8uA1MSW8KXO39JXGiEMSuOnOxY7rm/\nkAfWS3aVWuetgrISBQn+y6ikrwPJCV72NQSxLajM+Ri07achpXEqcHsWVCld0FypUoaQpaWb8ALb\nBZUbiBvppvjMPmri1xPSFm5bUNeuyU4S3F0pOd2jGIuS0skQ1HUotq0xNxijU5rOYRiZgvwUCIYX\nzxaqdcCMEOzdYNHab0jpwLimIkdcnrxIGyeasmb31WJ3HUTHZqLX3bKstlCWgHyfQ9OExfmGVZSU\nOjIHn3qDCZVIfziWNf7L2EHNWaHHiLicINZI80XvsdQhrLMvE8m/y5Dvmwxerwu5RHaBnzSsEtIV\nho+j5dOfjkb4/aGZiM8H18PQOLxz6trWlxYHX7vdIsEn+fUBh5o2jW3BfdWSx7dZZCYuvrH9QvDa\ngItRR1IwVsuO4GFkYBArNMZrOV+jPXYdCMFdXU+TGTh30bKzFfbmd/P/89Iml99k1S+HSjUSwHP4\nPxDhKUIbv46OzVya7QSm4Bc/hKkp2LzdJDN5vBC58vdg+sJ2RiQwhI9XC55iMmTas4W+CSrbP2Qr\nZ7njvmL2brDY4ztH7KG3APDoEKnb1+MvyFm2meKsNC/vngjQOwq71y7fLPOyQAhTwUzPgFP1C7Lo\nmk1QBMbm7JJ0XWuorzUJUtm554lwvAxSWPc6NfHVONoo22vbNQWpgjvXWTRdQErrOxTbiiTrciRD\nE+aGeHjSkFJHc8nRjWtBU48mI94Q4+Y+Q0qHJzTl2VcgpUKgkktRMZnGRL/rIFpIVNmty2oL5ZEm\nzalp8gLlvQ4TkWX4nV8z7CQyrpLJv5xH6Zz9kqjUdSh/GlZv7UUz8wKwm1/DuQnjRt3uVeunxcIq\nIV1hcBxFYDE9SW4gxoNGuHS61/we54W96+FPx7gmg3u3DY9tsdhWJHnxuGJfoyIYhltKjLF9cYa8\n4XeqrVOCmlGJS4V4uOuHuH3x2CPNHEvew9HU+wHImTjF7p5noxfjGQI69+/Ry8CcVn2YUPVX0An5\ny7Iv7vpfYw01ESm6Byd319JsRGv4wy8JdXbRs3EP584M0RRTTN7Yuau2chUQxOIlWcCGzzzEPVvj\n2btBsrPAYf3L/07xUANZTzxCQnoCLqnhNz8zrWWX26Q07Xlg2aIaAWJjPLT1Bmnu1xSnC5JiPkaE\ndBppGbCm1FTzIvNjdheSUglEuAwpBWg6GY0aKjpPhBOT/eQdf4WamEqzLimpa9MUZwhuL7No7FaM\nB802JoJwIloprcyR9I9pekbNOSkv2XggL1Z+wYkOTUmG4LYyM0JwqlszHoCyrCuQUkDHZuGkVmD1\n12P31iAme3FKdkNZ1bLZQsXYkGBrmqdmK+8t0A5huYFY9QP6wz60zCbrCh6lc/YrLhsnrcqQ0kv4\nldpt+1D+TPRNFDfqdtvY9qr102JglZCuMHxcPEgPnnH4wduKQHRXNuaZk/zR+Tn4XIRdJcbY/miL\n4k/HFMOTsC5b8OVbbTYVXDoZZbnhaHixWxARLnb3Pkt2YiKu7kN0+op5NffraAQSh0dav43fMbML\nlyKj5t+jc6PaQUsb6YSIZG0lsub+ZdkXq/so7tN/QsXlEqr+yqJc9LQ26uf2Qc2pbsWxFs37Bwd4\nLVDKy+n381GkgLrYCj7d9Rw+dWX5s5mzhWflWh6riCfr9u343NGL/FuvwumTsPM2WL/ZLFB7FI58\nZP7u8YBtwT0PLuvcWkyMh8BUkGOtGq9bsDbzY1pViU+AyvXGqzQQmNcilyOll50xbTkLk5NRQiYg\nNZ3kgjSyj75Kja/c3MRhSOnaLMGtay0au+aS0voOxfYoKe0b0/SOmhjSnCRjoD9tH3W9ON6qqc4z\n9l9NPYpTXcZ6qjTjyqQUTzyRzK3IkWbs/nqs/nqcwu2wYcey2UIluTRoTXfoYjuosNxMjPMfdAU1\nXlcJKe55DuF64olk70AOn0MGhuY8JACr9xh6ahydvjzJc9cLl8ta9SJdJKwS0hWGcNi5qRX2YUfz\nv96KcOCsOTlZAnasgUMt11Z1yE+GL+y0GJqE3x1UdA5DdiI8ucPiznUWfs+NJ6LTeLtf0O94yJo8\nzW67HVfbPqasOP5Y8F8IWX4Qgi39L7N27NBFy4oLLrszaUyA1mhPAsFNf7N0M5yzX0tgCM+R7wEQ\n3Pr34Ilf0PKhiKZnxBiRn2hXfHRW8XaDw0vHFe+eUhxt0ectcQYdL24dJkcOs3boBI8NvER6oPeK\n65+eG/1QZLLWniTzr/7TzIPdnUZVn5gEn/2iaW2Gw6Y6GgqaC3coaHwtp8nqMiEmxoNNiA+aFCOT\nml2lN3a0ZEnh9RmnhJZzMDa/IfELj4TE3HiYpLJLoLPdJDuVrTPt+7h4UsvyST/+FrWuYiztENGS\nug5NRY4hhKe6FRNRUjoehIZOxY5iQ0q7RzT9Y4aUpsebP/3zc7S6IjRwrMVUZLcWSU51KU52aSIO\nFKdfhZTaZv5SBEdMtbTrMCpjHXrrXctmC5Xp0YxEBEORWTdQQoBwE5abiHW+S/vUEImeKhLme3qy\n3MatwwlhjTTPeUgA9lgrousYTt7uFS92su1VL9LFwiohXWEIBiNEIjcnIT3b6/Bvrzrn01KyEoxQ\noGXwystdCjFu+PQWSXq84LnDisZuTawHHtlk8chmi+TYlVVd6gkKjg05aOChsZeI6z8KTpgX8v+R\nQW8OaE1ceIAHOr6PJHIRAZ3GTKtemjkr24dQYYLrv4aOy176HdEKz/EfISe6CZc/jkqtuOTTVLTa\n2TZofDuPNmveb1S8WufwSq0hoSc6TGJNz6jxfUyJg6I0QWWOZHtumDtqn2Zv55+4s0yz+eizlNu9\nxI31XPnlRX/24aNFJLD9H/5i5kKslCGeYyPwmS8YAQwY5f6pevP3gjUwPAjVm6BwzfUfrwXAVEhD\ndI9oWgaMsCluiZPCbihsF6zfZBwT+q78vl4OMvpnDBsPl1Ac9fVAR5tJc7Jt8HhJrygk+eR+6kQ+\nLh0hqCUn2k2VckexIYQTobmkdHuxpCpX0jFkwg0GJyA51syVXqvocjYcDUeaFTtLBZsKLE52Khq6\nzKd5TfpVzmVC4qRVod0xZq608yN0TCr6lgdhfMxUShtqoah0SUZQhIB8n6IjIJlUcyVoWsQQluuJ\ncX5K60QLad4NxMy3fX1+rjQdq/f4xTck4XEjdiq8G+TKrUBalsTjWfUiXQysEtIVhkAgjOPcXKb4\njtL89qDDi8dnhEtFqdA2xDVZOd22VnJLieCtesXhZlMlvKtC8vlbLHKTV15VSWl4q3WIMVcyW4bf\nomSqATnZy3vpj9OUuN3MSQrBfR0/JCXUBZiKaLT+eXGrXrqirXoXwgkSydlJpPDKaUKLBbvlLVzt\n7xNJqyK89tMEHc5XO+vaFQdmVTv3nTJt98ZuTfuQZnACPC7ITTbt6E0FgltLJfdWWTywXnJLiUV1\nnqQ4DTJffZr4jkbsrdvhyAGjrp1HPKgCFILn5RoevSUHsa5q5sGDH8CxQyb/fNcd5t8mxo16X2Pe\nh/wi6OmC3XcZ5fIyIibGw+RkCEeZ2cI4H6xJW1k3VosOKWFdlblZaG2+plUIwI2iCz9xXGK+fmgQ\nzjRBeaWJGrVtMivySThXS52TjVcFmVI29R0mSnRrkeRkp2IySkrHAibuc3uRoDpP0jZoPssD45Dg\ng/IsaLuGm+oLEVGmfX/bWkF1vkVDh6K+0wgyC1OvRkoFKqEQlViE3VuL3XMEVBC141FD/JfYFkpG\nlfdnJiXhaTuo6XEjkYCS5XjVr2mZqCfDtwG/Pf8oXh2XjZO+Aav7CEJd6DoC9rlXieTshAWsczmx\nao6/eFglpCsMU1Nh1GK6NC8x+sYU/98rzvkTtt8FYTWTKb0QrEkXPLTRorFb81aDZjIIWwoFT91q\nsy5bLtiIfLlwpKufszKH5GAn94QP4eo/QUtMBe9kReM1haB49Ajb+18EZgioiP43GxpMGhOAVmhv\nMsFNXwe5dCc8pTXDk9DX0U5a008Jihh+Fv4r/nzC5tVaxcFZ1c7eUVP1To1WO6tyJdvXSO5cZ/Hg\nBsmd5RabC43XY16KJCVWzMx2TuODd+DwASgsNuRwfMwQiauIYKZb9S/KIu519+H78l/OPDgyDL/9\nhbEe+vxXzfoA3njRWEhpbfxNw0EYGYG9n1ryOMYLMU1IE/3w3ikVzbZfuZWfRYMQUFRizN0b669t\nFUAcYc4SRwKhi/sL42OGlK2tMOMCQpBdloWvu5n6QApeZ4pJ5aKhU7G5ULKlSNIwi5SOBuBUt2b7\nGkNKW/s1Q5OGlPrdsCkfzvZd53EgGmfarrm9TFCZY1HfYb5bXhfkp1z95kT7U3HS12MNnsLuO4Ec\nbcHZ8jCkZC65LZRLQp5X0TRhzapVm3fCEalIqwSX8yeaxw+T7qvEb8fNf+WeOCK5u5CDjcjg3JK0\nwNwoO4ml4F86D9ZrhRACn899o1/GxwKrhHSFYXIyxM0QnqW15q0Gh2c+VISjEwaxbphYgEHA9EUl\nwQd710siCl6pMV6lxemCL+2y2V5s4bkBxvbzxdDEOIdGbMLSy6em3iS+422C0suza/4FJV2gNbYO\n8Ujrt/Goyws8ZuoNs1v1EYIb/xM6ZnHsloJhTfeI5myvprZd8dEZxVsNDi/VKPY3Brlr9HvEyzF+\nOPEV6sdz8Logb7raWSi4da3kviqL+6sltxRbVOdK1qRLMhME8T5xxSSa82g9B889C3FxpqXecs5c\nPEeGrrjY9PE5KZJI0AHy/umb4IqSdK3hj78x7du9jxp7HIC+Xnjhd+D1GrJ7571w5CCkpMItt13P\nobwmTBNS2xK09Ju2/ZYieUOCG24IMrPNe1N3fN62UBciiRDniMODg+vCONnAlEn5Kl57vnWdtyYZ\n13AfJyfi8UUmGXdcnOwyBvmbCiUNHYqp8AwpbZxFSs/1K0aipNRlwc5iaLy2yYM5mApBQ6chpety\nLOraFXUdmhgv5CbPo2LujiGStQ053oU10IDVW4NTcScUVy65LZTXgjS35vRsO6gowmTgsoqxnNdp\nGTtAsreYWFfq/FduuXByboHwBNZo65yHBGB3HUBjoZOXJxBk/tD4/ctgw/cJwCohXWG4GUzxR6c0\n330zQm27+X36tDRfLdb08y0Bt64V5KVI3qxXtA4Yj9HHt1vcWymJ863sC7V2HI6cbqQzppTNEwco\n7/gDaMWvC/+FCXe0HSwEO3v+QMFE3WUV9efTmKZb9ZYH4QQI599817I+AAAgAElEQVSBk7cw4qS0\nqey0DWpOdhkB0XunFK/WOrxapzh4TnOiQ9PcH612RswxfyLuedboBroSbyN3y108uEFyR7nFpkJJ\nWZYkL9lUO72uq4gwroSJcZNTHwrB1p2mSpqaNq/5QgVM4uKoSOPWPRtgzdqZB0/WwXtvmvnQ+2YF\nBrzwWxjoMxdntwe27TRK+7JKIwJZZkwTUjA3B6e6NcmxkDcfEvJxQVIyVFSb5CXn2mblkwjRi49h\n3CRc2MIPhaD2CBQUmYosUJAfix4fp2nMjy8ywWjETWOXUdhvKJDUd84lpU09mh3FkupcydlexeiU\nIaVCwF3lUN95nccAM7va1KPZXWa6CbXtirp2TaJfkJ00j++X5cLJ3AwqEjXRP4TKq0JvuH3JbaHi\nbY1fQlvg4up+kAzcdhnCeZf28Q+JsdNI8OTOf+VCoNIqUb6L50oFYA01InobUbk7VpTYaTWtaXGw\nSkhXELTW5y9YKxXHWhy+/7bD+JVdea6KknTYXiw50qxp6NR4bFMl/cxWi/T4lTcneim0nXqPg3G3\nkhjqZW/Pz5DhcY4k30Nj0oxnZ0qgnbs7f4acVc25sE1vJrKEIaMA2kH70wht+MvLDvMHotXOM73R\n2c5otfPF44r3GhXHWjVN3ZqOIUNQfW4z21mWZWY7d681s533V0t2Jpwiu/33qJhM7O1/SZzfXvzx\nCKVMS72nC3bshkMfmJb55BToK89MT1s8PS/X8Ii/D/nkV2YdiAD86ifgKPjCX4A/mivdfAbeegVS\n0mBs1JDRSNgIQLbvNNW6ZcZsQhrnFbzfpHAUbC78BBFSMO/R5m2mvRy6tvNdPGEUUEsaOVwwe+w4\nhvBmZpv3HyjK8RCeCnFm1Is/MsFwxM2Z7gjbi01C1+xK6cgUNHUb9X113kza08C4+ZjdVwV17dd3\nCABGp+Bcn2b3WnPTV9OmqG3TpMQJMhPm8f0TApVShvKnYvUex+48CPHJqF2Pms//EtpCpbo1QQf6\nwhd+dgVB0nDb68HZT/fkAaSwSPGULuicfn6utPMAQs8dELBCQ8izb+EU7VkyD9aFwuNZTWtaDKwS\n0hWElZzSNBXS/Pw9h32N+sJG2bzgsoz4J9EPt5dJuoY1R1o0YceImL64y6Iw7eZJrwl1HGWfs4ZJ\nO4En+n6Eb6yFSRnL8wX/2dy5R4VMD7Z9h4TIwGXXM9OqNzRV216Ecght+iscXwpDEyaG8GSX4kiz\nZl+jqXa+Fq121s+qdoYikBZvZnGrco2i+K7obOft5RabCmaqncnT1c7wON7D3wHlmAQoX9LSHLB9\nb8Kxg6ad2tVhZv6SU83PK2B6bnSfyGa77iHmn/6rEXFM49U/GU/KO+6G8qjASSv47TNm3fEJpjL7\n6BOGAPV2w569M8R1GTGbkHpdgpNdmrZBzc4SuegxpSseLrepkp+qn5eY7VLwoUhmihcoopThuUb6\nWpvWdWISZGYjhKAky2ZyyuHcqBt/ZILBsIfmrhDbS22q8yT1HYrAbFLaY0jp+jxJU9RYf2AcwhF4\neCMcb73MC1sAhiehbUBz61pJacYMKU2PF6THz+8zoeNyUCnlWP112L3HEWoC584vQk/3ktpC5XgV\nfSHBmHMxKQ2RhGVtQagjDASOMBUZIsNfhVgIgfTEEcm7Ddl7HBmeK0qQOFhnXyGSu3t5UuuuAo9n\nNa1pMbBKSFcQVmpK0+luh++86dB3Ze5wSUyLnKSA7WsEbluw/4xmNADVeUawVJ0nsW+iC7IY66Sh\ntZmmxO3cOfgc+f0foIGfl/xfhC1f9EmCiqF9bBh6+/xyOko/xfnfo1GJ0o3UDlMiltcnb2Of/Rhv\ntOfw0nHFe02K462aph5T7RyJVjvzotXOzQWC3WWS+6pNtXNHsUVVrmRNmiQjQRDnFZevdmqNu/an\nWGPthNd+ChXN0V50nDttZjkTEk3FqvkMFBUbu54rYPr4dBBDGMma++6Ya9XU1gwv/RFS0+HTTxpF\nN0DtMTj8IZSUmecUr4Xtt8LrfzYVlbv33pB232xCCjARNBXuzARBZuLN8/lfNFgWbLkF2luNUv4a\n4EJTyhA/EZUUMYqPC8YATtUbgVteAUIISrMkI5Oa1lEX/sgE/WEv7Z2TbFvrpipHcqLDhHlMk9LT\ns0jpqS7jYTowDoEQPLYZjlxj0MdsDE5Ax6AhpWvSBcfbNDVtmqxEQVrcPEmpNxEncwty6Ax2fz1y\n5AzOHZ83L3SJbKGm7aBapySBC+ygQKCIQ1k7kaqesVANQ4GzZMVswhILEGhaLjO2NNmLNd41d/uA\n3fImTkoFeBMXY5euGatpTYuDVUK6ghCJqBWV0hR2NM8dcfjzcc1Cnai8trE5CSsoyYCCNMGRc5re\nMUOmvrjTYvdaC5/7JrsQhycZO/Yr3sj8EgXjJ9jd+QwgOJp0N2fjt0SrowqvM8FD7f+BrUPnLZ4E\nAvQMF6oJVdEYLqHIakZpwX8f+ydqIhvoDcYSdiA9XlB8YbVzo+T2splqZ26yJDnm2mY7rY4PcLe8\nhZO8lvC6J5aGpI2NmrlRx4Ftt5pWfWoGdF6ZjMK0KbrkfZHF7fGTxuh+Gk4EfvkTU1174sszVjfh\nMDz7M4g4kJVjKqL3PmSETW+/aght9abF38954EJC6nMLDpwxOeDVeZ/Q6ooQJqBgdMQYvV8DJLCR\nPn4hyokREVK5QDx4tgnCISgqQQhBebagf0zTPm5IaU/YT3frENvW+amIktLghaS0xMyUnuwyyvyB\ncZP29PhWONx8vQfBrK9zyJDSojRBTZSU5iULUmLn+b20vcZEPzBokp16jqK2P4yOSVkyWyhLQL7X\n4fSENetWYHpWXuCSXqbkLizdRiBSS/dkDVn+Dbikb/4bEQKVsRHlisPqP3HRXKnd8SHK9qMTCxdl\nn64FbvdqWtNiYJWQriBEIg6h0MogpB1Dmu+8EaG5f2HL2QI8NgQikOSH6lzBmV5oHTDt+k9vsXho\ngyTRfxNegLXCOv4TXk94ECUtPtP2b0gVIiQ8/LHwf5uZZxKCO7qeIXvq7ByLJ0cLpouVAyqJPwQ+\nxZO+3yEEnHCqyLB62LUxk/s2x3FflWR7sUVlrqRoPtXOBUJM9OA59gOwvAS3/B24/Iuy3jlQjjGq\n7+uFnXfAR++ZyM5weN4WT6/IAu7TrVjf+ue5rfr33zaK6i07TOt3Gvv3mYvv1p2mZRsXZ5T3506b\n56/fYgQvNwAXEtIYj0nw6RqB3WvlJ3sGrSwawNBy9poWF8Bm+nhF5NMpYynWI3MntdtbYHgISssR\nUrIuW9AzoumccOF3JumKxNF/poutVbGsyzbK97mkVHNLiTHPb+hUTJ0npYLPbYdD565z/zGpUF3D\nmtvKJPkpgppWTW27piBFkBQzz8+GtHDS16MtjzHR7zqILtuKzqteMlsot4SsqB3U7El5gIgWxFkW\nY+zAxThh5xjtEwdJ867DaycsaDs6IR8ntRK748OLxU4DDTDSgcpa3vS1aZj40NW0puvFKiFdQVgJ\nsaGO0rxZ7/CbA4qFcuPUWBgPmfGt9XmCsSCc7jV30fdWSj63wyI78eYQLF0K9tmXaZqwqU/azWOt\n/0pcqI/GcCm/zPjfkTEzd/xZk03c3vObOSdNpc1xmHa7GdOx3O17H4lC2z4y6CRzbRUJazbiuR4l\n+3ygIniOfg8ZGCJU9RQqcYkI2tuvmQvg2nWmPT82Cll5MHjlu5zpVn2tSKFUDxN//16joJ/GQB/8\n/lcQE2Oqo9NEdWIcfvu0UdSXlkfz7G83VdFjhwwp2X2XuSDfAFxISIUQDE8aYUt+iiB1nu3Zjy0K\n10BCAjQ2XNPiAqhmgDMk8JpVQJXun2sN1dNlqrBlFUjbpiJH0DGk6Z504VdTdKhERhrOsrkygXV5\nNicuR0pniaD6x2E8IHjyFjh4bVx6Ds6T0nJJbrLgeKumtk1TlCZI9M/z8yEEKmkNKj4fu68Gu/sw\npKWhNtxrbtaWwBYqxoJEW3NuyuZCO6igFqS6YEhvwiM9OM4h2sf3k+jOJ9aVsbANeROI5N+O1b5/\njom+AKzJHuS593AK71x2sZPLZa3Ghy4CVgnpCkI47BAO3zhC2j+m+eG7kQUrSNNijbfeZMgkNMV4\nBY09mmDYKOm/dKtFaebKNba/HCZDmq5hzeleTd2pXj5osWkquo87un9J0UQNH4W28rPI10guiQdh\nVPISzcNt3ybGMQO303Oj07se9cknxgohdcQ08lUYJz6PcNVTy3IidZ3+M3bPUSLZ24msuX9pNnL6\nFLz4B9MeTE4zFcritdBy5qqLamAEN734WRvH3Fa91vC7p2FoAD71OdOWn8YbL5mZ0T33GwIaCJjZ\nUrcH3n3DRIrufdSkQt0AXEhIwRSMjzRrPLagPPsm7BosNjJzICfXtJevAQIoYQSpHb5nrWedHpqb\n7jTYb2aYyyuRbjeVuYLWfk3vlI1PB2gVaUzW1rGpLJayAi917eq8nd3IFJzuNSK0qtzovGmUlI5N\nCb64Ew4sEintHNLcUS7JTjIzpbVtmpIM4/c7X+iYdJy0aqyBk9h9tQhrAufWz8HpxiWxhUpyaaTW\ndIUubl1PKkG6RzGgyol15aCdg7SN78djJZDkKVzYhiw3kcI9iIFGRHBoDv2VOmTETnm3gbV8ZvWr\nefaLg1VCuoIQCkVuCCHVWnPgjOJn7zuMX967/SL4bXNBHQmYdnxOkuBcnzlxl2UJntpls6VQ4rZX\nLhF1lGZwHFoGNA2disPNindPKV6pdXjjhOLQOWNL1TziwyrOZUNoPzv7X2BQJXHOKURVrUPb7qiq\nXrJp4DXKRg9ckMY0F9Mj/wBIoxANbvk78MQv+f7KwdO463+F9qUQ3PRXS5MANTpi5ka1gh23wkfv\nG7/Rq4iYwMyNSuBtmcsduhO++c8zBvgANYfhwPtQus4Y3U9XePqjJvjJKbBxG+x/FyrWw4YtZt70\n5echLcOIm24QLkVIE/yw/7RiYNzMD96s3YNFRXKqEaQdO3TNq8hmkjV6mP9mbSODKbJnW0ONjpgq\nbFkFls9LZa7gXJ9mYMrGR4hmK4vIsSOsL3JTVhpPXftM+MdodKZ0Z6mkMkdSF5037R+HkSnBl3bB\ngavfc10VA+PQPqi5q8KM69S0auraNWszJXHeBXxG3LHGRH+sDbu/AWviHM6dn4e2ziWxhcrwaMYi\ngsHIxSR3whGkuxR9Tj4pnnJwDtMxeRClI6R5yxf22RcCJ/cWiISRI2cvnittfgMnpQq8CxsLuFbY\n9mqe/WJglZCuIIRCESKR5c2xH53SPP1BhP1nFmbnlBIDo1Ev0sJUc0LuH4fMBHhih8WeCosYz8q5\nuE4GNZ3DmtM9mpo2xYenFW/WG9/OD04ratrMY53DMDoJcT7ITxGsy9TsUK9RkdyMTIzlwfbvIgT4\nxRSn8++iP9a0uwWKuPAQe9u/x+xgvdk4b/EkbAQKZfuRToBw6adQGeuX/iCEJ/Ec+Q9EJEBo81+j\n/emLvw3HgV//BAb6Yfce+PBd0x7U2ghLroDZFk+7dRf2fQ+ZeNFpTIzDr39mLBu+8DUTETmNaRP8\nhz9rjNGnU5sSk8xF98gBk3VeuvyG+NO4FCEVQtA7pmnph7JMQcJ827Ifd8QnQOUGE2RwHalOO3Un\n/4+1hUnhplwPzlhDTU4Y5XlJOXZsDFW5gtM9msGAhVeEOePOxzp6gKpMxdqKNGrbLialu0olFTnS\nVFGnSemk4KlbYf8ikNLBCWgf0OypkKTFG6FTbbuiLFsSu5Bzq+XCydwCkQB2fx32QA1q92PokcCi\n20IJAXk+RWdAMqEufI2CCSVItjU9kTTyYjaDU0P31DHGwz1k+jYgxcKEQSq1DBWXh9V9+BJipw/Q\n7kR0Qt717tZVIaVczbNfBKwS0hWEYHB5CWlNm+JH7zr0L8DOKckPgTBMhSEnySjpe0eNQOPhjRaP\nbrFIib0xrUdHaQbGoaXfVDsPnVPsO6V4ucbhjXrF4agJf8uApn/MzHVmJghK0gXr8yW3lEj2VBjf\nzt1rLTbmCSr7fkHG1FHezXuKT7X9T/zOBAJNf8wa3kv/DFpY2E4QJV3c2/FjUkNGKXw5iyctXAgd\nQQuJVCGcxCLClZ9fFhsi94lnsIbPElnzAE729qXZyJsvw4kaWFcFrc1mbjQ331QwrwIBtBBHMgGS\n49zw+FNzn/Dn3xt1/j0Pmvb/NKZN8PMLjen+n/9grKCm7Z0aas1Fd/utS5LxPV9cipBOo6ZNE+MR\nlGSstu3Pwx8DG7Ya/9prTHXy4XCPbuUnsoJamUaV7sc7rQcPBuHEMSgsxk5MoCpHcKpLMRK08EiH\nRu8avMf3U+EbpnRzPrXtisgsUtoUJaXrsk3SUtgxpHR4UvDl3bD/9PUfgsEJ0725p0qSFCOobdfU\ndyjWZUv8CyGlQqJSK1CeRCN26j0MG3ehrMRFt4WSAgp8DuemJCFtYj9m5koFQQWxlqYjlEBZwjaE\naqJnqpb+wCky/Rux5cJa7TomnUjWDuzWfSZ2+fyWwOqvQ4z1oDKXyNIuCinFKiFdBKwS0hWEYDCM\ns1B/pWvAVEjzu4OGpM13cxbgtk3kXYLPENDeUfPYneskn7/FIj9leVqOE7OqncfbFB82Kd44YTLZ\nP5yudvZquoZhLGCqnQUpgnXZki2FktvKJA9UW9xTKdm2xqIiR1KYKkmPF8R6xHm1s936Nq6Wt3g5\n96+5pe8FMgItaEC7/LyQ9XXG3SmgHZR0UTR2nO39z8+1eGL2afjCVr0Nwia45RvgXjxvwMvB6jqE\n++zLOAmFhKq+tDSzqo31pjWenGpa52ebYE2pIYxXgQKCWJwRCVQwBH//X83s5zTONJoZ0exceOgz\nMwReK/hd1AT/s18yoo1zTXD7PcbiBuDAe6Zies9e8C2Bm8A8cTlCmuCH95sUYwHNzpJV65g58Hhh\n03Y4fuSqFfbLwUZzr27hVZnPa1YBxXqYZKLtnUjE+Nbm5OFKS6EyV3KyUzEWlHikosG/lviGjygL\nnqV051pq2zXTNYPRaKLT7rWS8mx5voraPw7DE4Kv7IYPF4GUDk9Cc7/m/mpJnBfqoqS0Ikcu2DZP\nx+ehktdi99Vh9x6D/BxURrXxa11EWyhbQm5UeT83Z8mcHQFcAlqDPjYkbcemm56pWromj5Lhq8Zt\nLTC4wuUjUnQvVscBhDMzdyYAa6IL0bofp/COJbvxl1Lg8y3fzOrHFauEdAUhEAjjONfWnpovTvco\nfviOQ9sCfKhj3BB0TDs1JdbctU+FYVOBmROtyJHYiyxYiihTxWzp19R3Kg6fM7OdL9U4vDmr2tk6\noOkfN2QvK1FQkiFYnyfZGa127o1WOzfkS0ozJTlJxkLFbV9ZyS4Hm3DX/ZyzCVuQyqFy5H20MHNW\nNXE7aUgyGfMuFUSieaTt23jVFMBFZHSmVS8NXXX5EU6QcNljqNSKRT1ul4KYGsRz9HsgrKUjwMOD\n8MyPzd937Db2S6np0Hl1hdx0q/5dkcNu3YW4416jkp9GOGQ8R4NB+PxXIW7WrG3dMTj0oWnvbtsJ\nz/3GxJR++omZubjX/mSETHseuKH515cjpJYUtA9qWgZgQ/4CK1+fBLjcxt6r7jgEFzDkPgsSuEu3\nc0In8ZxVSgxhivSo+V4qZdadkoonO5OKHJNvPx4SuKSmPqaclHPHKO05SsntVdR2ivOkdCwwQ0rL\noqQ0ogwpHZoQfHWRSOlI1I1h7wYLvxvqOjQNHYrKXInXtUBS6kvCydiENdRkTPRjIzgVd8PJk4tq\nC+W1IN2tOT1pMfuWHMBB4LE0SgtaplxsTdqI1wrRPXmc9vGPSPWW4rMXSIyFJFJ4F2K4FTHVN1fs\npAJYZ18mkncHWItfyRRilZAuBlYJ6QpCIBBGqaUhpKGI5sXjiheOzqhGr4bpuM+wY4joRMiYQRel\nCb60y+aWEmvBJ8PZ0FozETSep6d7NMdbTYXz9RMOL8+qdp6ZVe1M8EFBqql2bi2KVjvXW9xTabG1\nSJ6vdqbFC2I84pqiSEVgCO+hfyekJR+lPshd3c8QkR4sHSZgx/Na7l8Stnz4IyME7Th29D5H0Xjt\npfeR6KlYuqOtegvhhIwZfflnl54gaYXn6PeRk32EKp5EpZQt/jamTeqHBkxl8v23TGqS1lfNKp8+\nPsdFKht0H26f35DO2cflrVdnLJzWz/IZDIfh2Z+bjPonvmwU9ocPwKatsK7aPGd0BN59HQpLoHpp\n23ZXw5Va9hEHGjo1CX4oSF1t218E2zak9FQDTI5f0yoEsJNuJrTFH+1S+oSPKt2PbfoexqfT78db\nmM+6bMmJdsVkWOCy4ETMOjI7T1B89j2Kb6+mtseeQ0obuxW7yyRrM82sp7PIpHTaeupMr+ahDRZu\nG+o7TaRwVa7Es9DzsMtHJGsbYrIPe6ABy+nE2f4QNJ1bVFuoOFsTY0FrYJqUziCsBUm2YlIJWgM2\n25PLSXDF0zF5iLaJ/cS5soh3Zy94m072VhA2crDxEmKn13HSqhddQCoE+P2rhPR6sUpIVxCmpkJL\nQkjbB82saGP3/NdtSTMfGhPtmo4HDSn97FYTUbkQ+5GIo+mLznbWd5jZzndOKl6uUbzVYDLaT3bN\nVDsFM9XODXmSnaWSuyvNbOet09XODGOJkugXi6viV2E8h7+LnOrjtby/Zk/HTxEobB1Gu2J5P+VB\n2mMrsFSIkOUjOdjFvZ0/RkZnl2ZPS8GsuoCO3gUICZbbVCqXwoz+AtjnXsPVeYBI+gYipY8sDQF+\n7c9wsg6qNkDzWUMCs3ONyGgeGMCLRJNGAP72P89tq3d3wvO/NeKkx79oLpTT2L/PbPeW24yi/pUX\nDCl+5HGIjTPPOdNk5uM2bjUzpjcQVyKk8X5475QRx2wtWiWkl4S0YPM2OHvaWHhdAwRQxSBpaoLn\n7RKOyzQq1QAxRE2XT58CrfCVFp9vwwciAmkJ6uIqyO0/SdHJt1izq5zaAf/5kadpUnp7mUXpJUjp\nYrTvLWkqpad7FA9vNDZ6DZ2aU12K6txrcDORNk7GRrS0sHtrsMdPoXfcj27rW1RbqFS3JuxAb/ji\n9UwpSaZbMRyRtAckmxPzSPMW0jlxmPaJA7iklyTPmgWPgqmkYpzEEuyujy4mpe3voxZd7CRWCeki\nYJWQriBMTYXR16govRSMyb3iNx+ZZJH5wBKGQFkCPC7jLepxwQPVks9us8hIuPScqNaa8aDxz2uK\nVjs/OB2d7Tyu2H9GUTtd7RyB8ahVVEGqoCJa7by9TLJ3vcXds6qdBamStLhrr3YuFO76Z7H76ziV\nuZfi/n0kRAbMRKjLR7dM5p3sLwOCuPAgQTuWB9q/Q0K4/6I2Pcwmp9Ot+hiEEyRU8QQqee1F215s\nyJFW3HU/Q3viCW7+W7CX4ITZUGsIaWq6mT0702hy6lubr7potC5FrUihikHYtmtuFVMpk/Q0NgKf\n+YLZxjQmxo0fqdsDj38JRkcNIc0rMOb30zh20GSl37bHkNobiCsRUrctONNrbsq2F0s8K9gq7YZC\nSNi4xbynQwuYO5q9CiCfcTaqbl6Qxbwvs8nR42QyaZ7Qeg7GxvBXllOaZVHbZm4UpJDUJVRTOHiK\nghNvsGZLETVjCedJ6XgAGrsUt5dblGQYUqr0rErpbddHSrUGtwXDUZP+RzZLQHCyS9PUo6jOk7is\nBX5uhEAllaBis43YaagOvWk7ajCyqLZQOV7FQEgw4lxMSscdSY7HoT9s0R2SbIhPJctfRffkMTon\nDxNSE2T4KheuT/CnEMnZhd367iXFTkwOmfnZRUJMzPW7FHzSsUpIVxAmJ0PX6nByEfrG/n/2zjvO\nivLe/++ZOW13z9ne2V7YXZYFpAoqza6IYpeIJcbEm9yo15+JUUziDXqvkVzTjJpEkSg2UOxiQAQs\ngHSWtgvLLmzvvZ0y8/z+eLbvso1F14TP67Uv9JyZZ8qZeeYz3/L5CFZ+4SGzYGgDCmRU1OmR/SLn\njVX53kyNhFAVVVFktLNBFtkfLjLYmWfweZbBukyDzT2inVWNsuMyIkAhOUxhYoys7bwoXdZ2zkqW\n0c6kLtFO87f4INYKt2LJXUerTxS1hpnYpiM0mgOxilYM3cX6qHtosAQT4CymzhZBau1Wzqn+rA+l\n0T5S9aoJRXeiB6fjHnv1mU/Ve5xY9zyH6m7EOekHCMcZ6C6vroI3XpLp+XMvgK1bZEPTIDzJ28/P\ndiWcGaIMxWyB23/U/bzs3Cq1KMdPgllzug/w2TpJei+8TLo4fbVZOjHNv6x7/dvnn8pIz2ULu0dX\nvwX0R0gBWtzyZS7EoTAm4CwhPSUUBTLOkZa0g1BvOBX8cTPfyOefShxbtTEYQIpoE1ovLYKyEuwT\n00mMMMnaUB2EonIgYBKJTTnEHNpEfEoIB5yhtJf+Nzohu0RGShNCFQ4UCEQXUrpk1ulJQukCvC1Q\n0wzHSgXXTFZx6wrZJfJlf0K0gmmopBQQ9nD0kHS0yiOYqg+jJEWjGwEywzACslCKAjFeBvktKq29\n5KCgQVeIsBiUuTRq3QqpDgdR9qlUtBymtGU/ta4CIrwnoSpDJMYmG564i9CKd/RudmosRM3fgR47\ne0TmY29vy1kd4dPEWUI6itDScvqE1BCCbTkGL3+p0zDI+v/2W8hmlml6ty6F7eelqVhMcKhIsO2Y\nrO1cl9kW7SyUE2BpHTS1RTvjghXGjZHRzjmpsrbzwnEy2pkW2Rnt9P6Gop1DgVp3Euv+FWD2Yq//\nXCZWbaDOEoKvuwoUE8cck9kffDEmvRW35oVZuLiq4C+YRd8EQ6bqlc5UPSqYbLRO+Q8w2c748Ziz\n3sJUlYU7dh569PkjvwGPG15bAXW1MO9S+OIzSUx1XX43ABQgF1/iqMOGAT/4Cdi71HXV1cKaVfIh\nePPtYOkS3a2skLqjAYGw8HowdHh3tVxmwXVyP0B2UP/zfT5tjLsAACAASURBVAiNgOmzRvb4h4GB\nCKmPVWFbjgy3TYw5m7bvF4oiyzTqaqQl6DBhxeAykccuQtmthZOr+JEhKrFgyJKTk7n4Ts4gPsIs\nI54G6ELhQMAkxnryicr+gthIKweJ6UVK56RpxIdIqaZ2UjoSklBuXdbSVzVBdolg0RQVp0f+d16F\nICNqeKQUqy+eiCmodScxVWehhZrQ/ZMh5/iIyEJpCsR46eQ0ae0FEnTVIWnSFUIsBsVODZeAeC8b\n0Y4Z1DhPUt5ygPKWQ0R4T8KkDnH+VFU8sXNR6otQmst7NDu1jFiz01lCevoYkJAeO3aMhx9+mNWr\nV/Pqq69SVlbG9OnTR92JdzqdvPPOO6Snp7N27VqKi4tJSEgYeMU+MH/+fNavX8+7777L2rVr+eyz\nz5g9ezYWy8Apz677MVS0P6yeffZPPPPM74mNjSMiorOoe//+vTz55DI+/PA91q5dg8fjIS2tczt1\nLYKXv9TZmTs0Vqu0/XkM2cikKgYVDQqHigTZJYKC6rZopwqRXaKds5JkbWd7tHNCe7TTXwp8Dzl9\n9G3B2YB11zMonlZyYq4jvXAtTs0bi96CYvbCKRTei/t/6IqJ8JZc6qzhXFD6BmNa+n6qdE0OKYBh\n9kHVnbjSFyPOlG98F2jlmViOvodhj8Q18Q4Yotj0oPDJB3DsiHRCyj0G9bUQEi4JwgAQQAsa9ViI\noKWtQ74LYRRCEsx2cfuetZ8fvC0jYwuug9Bw2SF9cB9MO0/WvLWjuEAKq6eO7961/y1hIELqbVE4\nUGhQVAOzxo68csW/JFLSoaVZ/tbDhArMF4WUCS/2amHsVMMZa9Tgj0vWQ2cfxm9yBjGRVvbny7vb\nbSgcCpxIqlpKVM52YhwuDlgSEUL+Zk1OyCoxmJumERcsI6UoUNkgJaGWnKZ4vtMDwQ45XnaJYNE0\njWYnZJcKTlYKMqKV4Vk1a1b0iKngasRUeRiTrQ4jbjLiaN6IyEJZVIi0GeQ0aT2S6DJn4jQUfDVB\noVPDrAoibCai7NNp8dRQ1nKA4uZdhHqlY9UcQ9runr27WfLw71h47WK8GvP6bHbyBA/P2enFF//K\nU0/9Dxs2rOett97io48+Ijk5mZCQkCGPdaawYcMG7HY7LS0tLF++nLlz5w64zvjx49m2bRvvvPMO\na9asYd++fcyePRtVHfhluba2lg0bNpCSMrQm2n5Hrq+v54EHHuCRRx7hlVdeYfXq1Rw9epQ33nhj\nSBv5JlBRUcGaNWsAuPbaa7nwwgtPa7wVK1bwyiuvsGrVKmJjY1m7du2Q92O42LRpI8899yKTJ0/t\n+KyoqJA//GE5v/rVMp555m/85S9/45NPPmL79q0A7Dmp89sPPZysHHqItb2WD0A3wGHVcVfsZU6q\nyvXTNP5jvsYvrzaxdKGZH84zsWiqiQtSNFIjVYIdw5z4RgsMHWvmS6jOWppiLyai8BMUDGrNoZg1\nDdXdyFdhN+LSvAhryaXYJ4Ww5uOMr/2qz+E66kZVs6wbVc2o7iY8YZPQwyf3uc6IwlmP5dDrCNWE\nc8LtZ8Ya9OA+2L1dkkFNkxGq6HgoG3yq/qASTBL1Uo7p6hu7L5R1UJLd2ARJeLviZK7UO42Ok2QE\nYNd2OeqUHmL/hfny36jYYRzkt4NxY1Q8hkzHnsUgcdlCOG/uaQ2hAD8UB1nsPkQVNp4wTecLpS0Y\nUFkOLzxDgqmGW8/TUBQZ7WtyKawIu4Xq5Kkk5H7FbdXvYFJFB9kpr4e/bfIwJkDhlpmafPFXIKtE\nsC5T4d5LTmuXqWyASH8ZeX1xs85F6SrjoxROVApWbdVxD1dCUDXhHncTrrQbwNOM1bUV7eJzpKrF\nqyukNNRpINgimBvUnkXpIQclFFwCvBTBjjozec0qqmJicvCdpPlfQ7Onis9L/peKlqwhb9dstvDw\ni+tpmfyTXq6ECuD19XK0wq+HdUw337yYV155hddee42lS5fywAMP4HQ6hzXWmcDLL79MY2MjISEh\nDDYp7ufnxyuvvMIrr7zC66+/TmNjI1u2bBnUutnZ2Xz22WdD3s9+CzI2btzIjBkziIuLA0DTNH77\n299ibvOWfvLJJ9m9ezcACxYs4Pbbb+cXv/gFFouFoqIiysvLefLJJ0lPT+fhhx/m5MmTtLa2cttt\nt3HNNdewY8cOfv/736NpGtHR0fzmN7/hgw8+4O2338YwDO666y42btzI//7v/wKwaNEiXnjhBdat\nW8f69etpaWkhICCAZ555hueff56cnByeeeYZhBAEBwdz4sQJUlNTWbRoERUVFfzoRz9i7dq1/N//\n/R+7du3CMAzuuOMOLr/88lOeAyEEDQ0NxMfH09jYyNKlS2loaKC8vJzFixezePFilixZQmBgIHV1\ndURFRXXsx5dffsmyZctITk5my5YtbNq0qdvFcPjwYZYtW4amaVitVv7rv37Bxx9/QFVVBT/72f08\n/fSfsVpleuKf//yYyy67ksDAIACsVhtPP/0MQrPx3KetFNQMLQomhJBRbqEzNsJESnAjb7z0O4yW\nSrTAQFqqKrn0x9PZtOlTXmqLxiqKwv/8z+/w9/cf0rZGM8zH3kerycETkkFj5QnCPbVk+85gbMMu\nFKFTYYnkiP8sTEYrLSZfFKEzr+TVNvn7vpuYBBqK0TbhCh1hccjJ/YxLPAmsB19FcTfhSr0OYT8D\ndaOVFdIxyWKRLjobPpR1owV5g1pdATKVYKaKMvnBLXd2r+1sbZHi+poJrlzU/ZwJAzZ8LP/74ivk\ndyVFUJQvI6A9IzcdhDRmeMf6LWBcpMLmI3CkWMr5nMUgMf8yqVe6ef2wh1CAiygi3lPP701Teck0\nnlzdj8VGFuaGOvj7nxl72w+55dxwXtumo6lQ36rwouNqfjjNl8Sdn7Gk1cnL4TejC9lGU9EgSend\n80zcdK7Gm9v1DlIKCj+9WPDnDcM/7OJaad18ohJe3KJz52wN3TA4Uix4bZvO92Zpw460e6IvwPAJ\nw7p/Bdb6r3BfPBH35nx4901ZUnPe3GHPaXFeBtP8POysM9NTDqrFUPE3Gbg9sKXajJfmItwKqQFX\n4W0KYk/lSr4qfZrJIXcSY5856G1OmTIVwxC8vWUf113xGOYtj2HucospgOXQKrL3/hO/2fdy330/\nZuXK1zh48AAPPngvH3+8kcrKCp58chlPP/3MKbeTmJhIeno6u3fvJiMjg6VLl1JTIzNHjz76KCkp\nKVx88cWcc845nDhxgpkzZ9LQ0EBmZibx8fEsX76cwsJCHnnkEXRdR1EUHn30UVJTU1mzZg2vv/46\nhmEwf/587r33XubNm0dCQgKJiYlcf/31PPnkk+i6Tk1NDY899hj19fUcOXKEhx56iOXLl/PQQw+x\nevVqNm3a1MGX0tPT+e///u9TRj/dbjfNzc14e3tTWlrKY489htPppKKigvvvv5+LLrqIBQsWEBcX\nh9lspra2lqysLN58801eeOEF1qxZg7+/P6+99hpNTU3cfffdfW6n3xmvvLyc6Oju0gg+Pj5YLBY2\nbdpEYWEhq1ev5rXXXuPDDz8kOzsbgMjISF588UWWLFnCm2++SWNjIzt37uSZZ57hhRdeQNM0hBD8\n8pe/5JlnnmHVqlWEhYXxzjvvAODr68vrr7/OvHnz2Lt3L83NzWRmZhIdHU1AQAC1tbWsXLmSNWvW\noOs6Bw4c4J577iEpKYn//M//7NjXG264oWPM9957j2uvvZYtW7ZQWFjI66+/zssvv8zzzz9PfX19\nr2P//ve/z5IlS7j99tvx9fXlmmuu4eTJk1x55ZWsWLGCF198kZUrV3Ysv2DBAlauXNltP7pu/+23\n3+aGG27oto1HH32UX/3qV6xatYpbbrmFP//5ae68824CA4N4+ulnOsgoQGVlBZGRY+TFoQt25Bq8\nvc/K/34oBiCj3d8F27sNVUVharxCwSc/4crUarat+ysXnj+FP//5eWbPntuxfEFBPsuX/5HnnnuR\nuLh4duzY1s+2vlvQSnZjPrkJwyeMalMQ4U1HybNnEN14CFAxgI9jfgKKQmzDQeotIUys/owQpxR7\n72sqlmdX1o0aZh8UYeAadxNYhpZiGg5MBZ+jVR1BD0rDEz175DfgdsnOdpcL5l4KWzaAyQyNve+f\nU6EMG9GiXk48cQmyI78rPvtEui5dMB+CeqS8DmZCSaFM8Y9pI5m72yIaU87tvqwQssnJx/6td9cP\nBZEBCr5ekrDoZ0iT+F8WF8yHSxac9jCJNPCE5wtiRD1btGie1KZTg1WK8q/4C+P0k9w4Q8MwpCNR\nTTOsYB6Nl1xPUm0WSwpXoSlGx/xQ2ShJaVywwvXTNYSQzZ5ZJYINBxV+ctHp7e+JShgb1rYfn+tc\nmqGSHCYbnd7Yrp/WdWQEjqV1xoMY9gjMtfuxnu8P/g5p1fvRO/IlcZjIsOske3n6/K7WoxJsMTCA\nDZUWat3ybMY4ZnFe+AOYVAu7K14gu/bDIW3zwQd/wZtvvkZhVRN/OZFAo9G9UUtRFFKtlfjv/TN+\nfn6UlZXy9ddbCQsLJyvrMF9++Xm352NXdO3/CAoKoqamhueff55zzz2XV155hWXLlnUEpIqKirj/\n/vt59dVXefnll1m8eDFr1qxh9+7d1NfX89RTT3Hbbbfx6quvsnTpUh555BGqqqr4+9//zmuvvcY7\n77yDy+WiqamJkpISfve73/HII4+Qk5PDQw89xD/+8Q/uvvtu1q5dy9y5c0lLS+sWTPR4PCxbtoy/\n/e1vrF27lpiYGEpLS7sdT11dHUuWLGHJkiXcddddTJ8+nZkzZ5Kbm8udd97JSy+9xG9+8xteffVV\nAJqbm/nxj3/M73//e+655x7OPfdcbrrpJq666io++ugjAN5//30WLVp0yt+n3whpZGQkhw8f7vZZ\nQUEBpaWlHD9+nKlTp6IoCmazmYkTJ3L8uCyKSUtLAyA8PJw9e/Zgt9t55JFH+OUvf0ljYyMLF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8CZecFhE9i/7x9NNP8/XXX/P8888PuOxZQnoGceutt3LrrbcOenlFOd20W294WVTmpMKcVA2P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N9VqXk7jeSsTXjltyMSXTjHn8Os341AEqSXpCKiSzCbDhDe9iWM3kakMHGn34Y3azMynHVl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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7faff8d9ec18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def get_mp_similarity(df, parliament=None):\n",
    "    top5 = df.reset_index()\n",
    "    if parliament:\n",
    "        top5 = top5[top5[\"Parliament\"] == parliament]\n",
    "    \n",
    "    per_party_per_vote = top5[top5[\"Party\"].isin((\n",
    "        \"Liberal\",\n",
    "        \"Conservative Party of Canada\",\n",
    "        \"New Democratic Party\",\n",
    "        \"Bloc Québécois\",\n",
    "    ))].groupby(\n",
    "        [\"Parliament\", \"Session\", \"Sitting\", \"Vote\", \"Parliamentarian: Vote\", \"Party\"],\n",
    "    )[\"Parliamentarian: Vote\"].count().to_frame().rename(columns={\"Parliamentarian: Vote\": \"Count\"})\n",
    "    per_party_per_vote = per_party_per_vote.unstack(fill_value=0)   \n",
    "    per_party = top5.reset_index().groupby(\n",
    "        [\"Parliament\", \"Session\", \"Sitting\", \"Vote\", \"Party\"],\n",
    "    )[\"Party\"].count().to_frame().rename(columns={\"Party\": \"Total\"}).unstack().fillna(100000)\n",
    "\n",
    "    df3 = per_party_per_vote.unstack(fill_value=0).stack().reset_index()\n",
    "    df1 = per_party.reset_index()\n",
    "    df2 = df1\n",
    "    while len(df2) < len(df3):\n",
    "        df2 = df2.append(df1)\n",
    "    df2 = df2.sort_values(\n",
    "        [\"Parliament\", \"Session\", \"Sitting\", \"Vote\"],\n",
    "    )\n",
    "    df2.index = range(len(df2))\n",
    "\n",
    "    assert len(df3) == len(df2)\n",
    "    ratio = (df3[\"Count\"] / df2[\"Total\"]).fillna(0)\n",
    "    ratio.columns = pd.MultiIndex.from_product([['Ratio'], ratio.columns])\n",
    "\n",
    "    df3[ratio.columns] = ratio\n",
    "    del df3[\"Count\"]\n",
    "    vote_ratios = df3\n",
    "\n",
    "    import warnings\n",
    "    warnings.simplefilter(action='ignore', category=UserWarning)\n",
    "    warnings.simplefilter(action='ignore', category=pd.io.pytables.PerformanceWarning)\n",
    "\n",
    "    df1 = top5.reset_index()\n",
    "    dfs = []\n",
    "    for row in list(df1.groupby([\"Parliamentarian\"]).agg({\n",
    "        \"Parliamentarian\": \"first\",\n",
    "    }).iterrows()):\n",
    "        parliamentarian = row[0]\n",
    "        dfp = df1[df1[\"Parliamentarian\"] == parliamentarian]\n",
    "        dfp = pd.merge(dfp, vote_ratios, on=[\"Parliament\", \"Session\", \"Sitting\", \"Vote\", \"Parliamentarian: Vote\"], how='inner')\n",
    "        del dfp[\"Parliamentarian: Vote\"]\n",
    "        dfg = dfp.groupby([\"Parliament\", \"Session\", \"Parliamentarian\", \"Party\"]).agg({\n",
    "            (\"Ratio\", \"Bloc Québécois\"): \"mean\",\n",
    "            (\"Ratio\", \"Conservative Party of Canada\"): \"mean\",\n",
    "            #(\"Ratio\", \"Green Party of Canada\"): \"mean\",\n",
    "            (\"Ratio\", \"Liberal\"): \"mean\",\n",
    "            (\"Ratio\", \"New Democratic Party\"): \"mean\",\n",
    "        }).reset_index().set_index([\"Parliament\", \"Session\"])\n",
    "        dfs.append(dfg)\n",
    "\n",
    "    mp_party_similarity = pd.concat(dfs, ignore_index=True)\n",
    "    return mp_party_similarity\n",
    "\n",
    "mp_party_similarity = get_mp_similarity(house_vote_participants, 42)\n",
    "spoke_labels = mp_party_similarity.columns.levels[1].values[0:4]\n",
    "theta = radar_factory(len(spoke_labels))\n",
    "\n",
    "fig = plt.figure(figsize=(20,20))\n",
    "# adjust spacing around the subplots\n",
    "fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05)\n",
    "title_list = ['Party Similarity']\n",
    "\n",
    "rows = []\n",
    "colors = []\n",
    "for index, row in mp_party_similarity.iterrows():\n",
    "    name, party, *values = row\n",
    "    try:\n",
    "        color = select_by_index(parties, {\"Election\": [42], \"Party\": party})[\"Color\"][0]\n",
    "    except:\n",
    "        color = \"#666666\"\n",
    "    colors.append(color)\n",
    "    rows.append(values)\n",
    "\n",
    "data = {'Party Similarity': rows}\n",
    "radial_grid = [2., 4., 6., 8.]\n",
    "for n, title in enumerate(title_list):\n",
    "    ax = fig.add_subplot(2, 2, n + 1, projection='radar')\n",
    "    plt.rgrids(radial_grid)\n",
    "    ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1),\n",
    "        horizontalalignment='center',\n",
    "        verticalalignment='center',\n",
    "    )\n",
    "    for d, color in zip(data[title], colors):\n",
    "        ax.plot(theta, d, color=color)\n",
    "    ax.set_varlabels(spoke_labels)\n",
    "plt.show()\n",
    "\n",
    "# TODO: Augment to show per parliament and perhaps broken down by committee source"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## MPs most like and least like other parties"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>127</td>\n",
       "      <td>Gill, Marilène</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.995303</td>\n",
       "      <td>0.594902</td>\n",
       "      <td>0.403282</td>\n",
       "      <td>0.847793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>115</td>\n",
       "      <td>Fortin, Rhéal</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.994130</td>\n",
       "      <td>0.600167</td>\n",
       "      <td>0.387732</td>\n",
       "      <td>0.866968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>Boudrias, Michel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993817</td>\n",
       "      <td>0.596812</td>\n",
       "      <td>0.394563</td>\n",
       "      <td>0.854275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>246</td>\n",
       "      <td>Pauzé, Monique</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993767</td>\n",
       "      <td>0.623028</td>\n",
       "      <td>0.390402</td>\n",
       "      <td>0.838343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Beaulieu, Mario</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993659</td>\n",
       "      <td>0.624024</td>\n",
       "      <td>0.385060</td>\n",
       "      <td>0.846614</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
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       "    index   Parliamentarian           Party          Ratio  \\\n",
       "                                            Bloc Québécois   \n",
       "127   127    Gill, Marilène  Bloc Québécois       0.995303   \n",
       "115   115     Fortin, Rhéal  Bloc Québécois       0.994130   \n",
       "43     43  Boudrias, Michel  Bloc Québécois       0.993817   \n",
       "246   246    Pauzé, Monique  Bloc Québécois       0.993767   \n",
       "24     24   Beaulieu, Mario  Bloc Québécois       0.993659   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "127                     0.594902  0.403282             0.847793  \n",
       "115                     0.600167  0.387732             0.866968  \n",
       "43                      0.596812  0.394563             0.854275  \n",
       "246                     0.623028  0.390402             0.838343  \n",
       "24                      0.624024  0.385060             0.846614  "
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
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       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>313</td>\n",
       "      <td>Thériault, Luc</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991303</td>\n",
       "      <td>0.589366</td>\n",
       "      <td>0.383196</td>\n",
       "      <td>0.847200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>201</td>\n",
       "      <td>Marcil, Simon</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991628</td>\n",
       "      <td>0.594862</td>\n",
       "      <td>0.393530</td>\n",
       "      <td>0.851836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>304</td>\n",
       "      <td>Ste-Marie, Gabriel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991877</td>\n",
       "      <td>0.599383</td>\n",
       "      <td>0.387527</td>\n",
       "      <td>0.843359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>252</td>\n",
       "      <td>Plamondon, Louis</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993146</td>\n",
       "      <td>0.598055</td>\n",
       "      <td>0.382977</td>\n",
       "      <td>0.855631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>Barsalou-Duval, Xavier</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993331</td>\n",
       "      <td>0.598864</td>\n",
       "      <td>0.398796</td>\n",
       "      <td>0.834122</td>\n",
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       "    index         Parliamentarian           Party          Ratio  \\\n",
       "                                                  Bloc Québécois   \n",
       "313   313          Thériault, Luc  Bloc Québécois       0.991303   \n",
       "201   201           Marcil, Simon  Bloc Québécois       0.991628   \n",
       "304   304      Ste-Marie, Gabriel  Bloc Québécois       0.991877   \n",
       "252   252        Plamondon, Louis  Bloc Québécois       0.993146   \n",
       "22     22  Barsalou-Duval, Xavier  Bloc Québécois       0.993331   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "313                     0.589366  0.383196             0.847200  \n",
       "201                     0.594862  0.393530             0.851836  \n",
       "304                     0.599383  0.387527             0.843359  \n",
       "252                     0.598055  0.382977             0.855631  \n",
       "22                      0.598864  0.398796             0.834122  "
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       "  <tbody>\n",
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       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Beaulieu, Mario</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993659</td>\n",
       "      <td>0.624024</td>\n",
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       "      <th>246</th>\n",
       "      <td>246</td>\n",
       "      <td>Pauzé, Monique</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993767</td>\n",
       "      <td>0.623028</td>\n",
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       "      <th>115</th>\n",
       "      <td>115</td>\n",
       "      <td>Fortin, Rhéal</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.994130</td>\n",
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       "      <th>304</th>\n",
       "      <td>304</td>\n",
       "      <td>Ste-Marie, Gabriel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991877</td>\n",
       "      <td>0.599383</td>\n",
       "      <td>0.387527</td>\n",
       "      <td>0.843359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>Barsalou-Duval, Xavier</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993331</td>\n",
       "      <td>0.598864</td>\n",
       "      <td>0.398796</td>\n",
       "      <td>0.834122</td>\n",
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      "text/plain": [
       "    index         Parliamentarian           Party          Ratio  \\\n",
       "                                                  Bloc Québécois   \n",
       "24     24         Beaulieu, Mario  Bloc Québécois       0.993659   \n",
       "246   246          Pauzé, Monique  Bloc Québécois       0.993767   \n",
       "115   115           Fortin, Rhéal  Bloc Québécois       0.994130   \n",
       "304   304      Ste-Marie, Gabriel  Bloc Québécois       0.991877   \n",
       "22     22  Barsalou-Duval, Xavier  Bloc Québécois       0.993331   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "24                      0.624024  0.385060             0.846614  \n",
       "246                     0.623028  0.390402             0.838343  \n",
       "115                     0.600167  0.387732             0.866968  \n",
       "304                     0.599383  0.387527             0.843359  \n",
       "22                      0.598864  0.398796             0.834122  "
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
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       "      <th>313</th>\n",
       "      <td>313</td>\n",
       "      <td>Thériault, Luc</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991303</td>\n",
       "      <td>0.589366</td>\n",
       "      <td>0.383196</td>\n",
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       "      <th>201</th>\n",
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       "      <td>Marcil, Simon</td>\n",
       "      <td>Bloc Québécois</td>\n",
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       "      <td>0.594862</td>\n",
       "      <td>0.393530</td>\n",
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       "      <th>127</th>\n",
       "      <td>127</td>\n",
       "      <td>Gill, Marilène</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.995303</td>\n",
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       "      <td>0.403282</td>\n",
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       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>Boudrias, Michel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993817</td>\n",
       "      <td>0.596812</td>\n",
       "      <td>0.394563</td>\n",
       "      <td>0.854275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>252</td>\n",
       "      <td>Plamondon, Louis</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993146</td>\n",
       "      <td>0.598055</td>\n",
       "      <td>0.382977</td>\n",
       "      <td>0.855631</td>\n",
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       "    index   Parliamentarian           Party          Ratio  \\\n",
       "                                            Bloc Québécois   \n",
       "313   313    Thériault, Luc  Bloc Québécois       0.991303   \n",
       "201   201     Marcil, Simon  Bloc Québécois       0.991628   \n",
       "127   127    Gill, Marilène  Bloc Québécois       0.995303   \n",
       "43     43  Boudrias, Michel  Bloc Québécois       0.993817   \n",
       "252   252  Plamondon, Louis  Bloc Québécois       0.993146   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "313                     0.589366  0.383196             0.847200  \n",
       "201                     0.594862  0.393530             0.851836  \n",
       "127                     0.594902  0.403282             0.847793  \n",
       "43                      0.596812  0.394563             0.854275  \n",
       "252                     0.598055  0.382977             0.855631  "
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>127</td>\n",
       "      <td>Gill, Marilène</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.995303</td>\n",
       "      <td>0.594902</td>\n",
       "      <td>0.403282</td>\n",
       "      <td>0.847793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>Barsalou-Duval, Xavier</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993331</td>\n",
       "      <td>0.598864</td>\n",
       "      <td>0.398796</td>\n",
       "      <td>0.834122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>Boudrias, Michel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993817</td>\n",
       "      <td>0.596812</td>\n",
       "      <td>0.394563</td>\n",
       "      <td>0.854275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>201</td>\n",
       "      <td>Marcil, Simon</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991628</td>\n",
       "      <td>0.594862</td>\n",
       "      <td>0.393530</td>\n",
       "      <td>0.851836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>246</td>\n",
       "      <td>Pauzé, Monique</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993767</td>\n",
       "      <td>0.623028</td>\n",
       "      <td>0.390402</td>\n",
       "      <td>0.838343</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index         Parliamentarian           Party          Ratio  \\\n",
       "                                                  Bloc Québécois   \n",
       "127   127          Gill, Marilène  Bloc Québécois       0.995303   \n",
       "22     22  Barsalou-Duval, Xavier  Bloc Québécois       0.993331   \n",
       "43     43        Boudrias, Michel  Bloc Québécois       0.993817   \n",
       "201   201           Marcil, Simon  Bloc Québécois       0.991628   \n",
       "246   246          Pauzé, Monique  Bloc Québécois       0.993767   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "127                     0.594902  0.403282             0.847793  \n",
       "22                      0.598864  0.398796             0.834122  \n",
       "43                      0.596812  0.394563             0.854275  \n",
       "201                     0.594862  0.393530             0.851836  \n",
       "246                     0.623028  0.390402             0.838343  "
      ]
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       "      <th>index</th>\n",
       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>252</td>\n",
       "      <td>Plamondon, Louis</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993146</td>\n",
       "      <td>0.598055</td>\n",
       "      <td>0.382977</td>\n",
       "      <td>0.855631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>313</td>\n",
       "      <td>Thériault, Luc</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991303</td>\n",
       "      <td>0.589366</td>\n",
       "      <td>0.383196</td>\n",
       "      <td>0.847200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Beaulieu, Mario</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993659</td>\n",
       "      <td>0.624024</td>\n",
       "      <td>0.385060</td>\n",
       "      <td>0.846614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>304</td>\n",
       "      <td>Ste-Marie, Gabriel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991877</td>\n",
       "      <td>0.599383</td>\n",
       "      <td>0.387527</td>\n",
       "      <td>0.843359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>115</td>\n",
       "      <td>Fortin, Rhéal</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.994130</td>\n",
       "      <td>0.600167</td>\n",
       "      <td>0.387732</td>\n",
       "      <td>0.866968</td>\n",
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       "    index     Parliamentarian           Party          Ratio  \\\n",
       "                                              Bloc Québécois   \n",
       "252   252    Plamondon, Louis  Bloc Québécois       0.993146   \n",
       "313   313      Thériault, Luc  Bloc Québécois       0.991303   \n",
       "24     24     Beaulieu, Mario  Bloc Québécois       0.993659   \n",
       "304   304  Ste-Marie, Gabriel  Bloc Québécois       0.991877   \n",
       "115   115       Fortin, Rhéal  Bloc Québécois       0.994130   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "252                     0.598055  0.382977             0.855631  \n",
       "313                     0.589366  0.383196             0.847200  \n",
       "24                      0.624024  0.385060             0.846614  \n",
       "304                     0.599383  0.387527             0.843359  \n",
       "115                     0.600167  0.387732             0.866968  "
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>115</td>\n",
       "      <td>Fortin, Rhéal</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.994130</td>\n",
       "      <td>0.600167</td>\n",
       "      <td>0.387732</td>\n",
       "      <td>0.866968</td>\n",
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       "      <th>252</th>\n",
       "      <td>252</td>\n",
       "      <td>Plamondon, Louis</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993146</td>\n",
       "      <td>0.598055</td>\n",
       "      <td>0.382977</td>\n",
       "      <td>0.855631</td>\n",
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       "      <th>43</th>\n",
       "      <td>43</td>\n",
       "      <td>Boudrias, Michel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993817</td>\n",
       "      <td>0.596812</td>\n",
       "      <td>0.394563</td>\n",
       "      <td>0.854275</td>\n",
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       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>201</td>\n",
       "      <td>Marcil, Simon</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991628</td>\n",
       "      <td>0.594862</td>\n",
       "      <td>0.393530</td>\n",
       "      <td>0.851836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>127</td>\n",
       "      <td>Gill, Marilène</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.995303</td>\n",
       "      <td>0.594902</td>\n",
       "      <td>0.403282</td>\n",
       "      <td>0.847793</td>\n",
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       "    index   Parliamentarian           Party          Ratio  \\\n",
       "                                            Bloc Québécois   \n",
       "115   115     Fortin, Rhéal  Bloc Québécois       0.994130   \n",
       "252   252  Plamondon, Louis  Bloc Québécois       0.993146   \n",
       "43     43  Boudrias, Michel  Bloc Québécois       0.993817   \n",
       "201   201     Marcil, Simon  Bloc Québécois       0.991628   \n",
       "127   127    Gill, Marilène  Bloc Québécois       0.995303   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "115                     0.600167  0.387732             0.866968  \n",
       "252                     0.598055  0.382977             0.855631  \n",
       "43                      0.596812  0.394563             0.854275  \n",
       "201                     0.594862  0.393530             0.851836  \n",
       "127                     0.594902  0.403282             0.847793  "
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>Barsalou-Duval, Xavier</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993331</td>\n",
       "      <td>0.598864</td>\n",
       "      <td>0.398796</td>\n",
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       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>246</td>\n",
       "      <td>Pauzé, Monique</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993767</td>\n",
       "      <td>0.623028</td>\n",
       "      <td>0.390402</td>\n",
       "      <td>0.838343</td>\n",
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       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>304</td>\n",
       "      <td>Ste-Marie, Gabriel</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991877</td>\n",
       "      <td>0.599383</td>\n",
       "      <td>0.387527</td>\n",
       "      <td>0.843359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>Beaulieu, Mario</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.993659</td>\n",
       "      <td>0.624024</td>\n",
       "      <td>0.385060</td>\n",
       "      <td>0.846614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>313</td>\n",
       "      <td>Thériault, Luc</td>\n",
       "      <td>Bloc Québécois</td>\n",
       "      <td>0.991303</td>\n",
       "      <td>0.589366</td>\n",
       "      <td>0.383196</td>\n",
       "      <td>0.847200</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "    index         Parliamentarian           Party          Ratio  \\\n",
       "                                                  Bloc Québécois   \n",
       "22     22  Barsalou-Duval, Xavier  Bloc Québécois       0.993331   \n",
       "246   246          Pauzé, Monique  Bloc Québécois       0.993767   \n",
       "304   304      Ste-Marie, Gabriel  Bloc Québécois       0.991877   \n",
       "24     24         Beaulieu, Mario  Bloc Québécois       0.993659   \n",
       "313   313          Thériault, Luc  Bloc Québécois       0.991303   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "22                      0.598864  0.398796             0.834122  \n",
       "246                     0.623028  0.390402             0.838343  \n",
       "304                     0.599383  0.387527             0.843359  \n",
       "24                      0.624024  0.385060             0.846614  \n",
       "313                     0.589366  0.383196             0.847200  "
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       "      <th>Bloc Québécois</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>Benzen, Bob</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.700242</td>\n",
       "      <td>0.983881</td>\n",
       "      <td>0.260049</td>\n",
       "      <td>0.619108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>168</td>\n",
       "      <td>Kusie, Stephanie</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.691898</td>\n",
       "      <td>0.984553</td>\n",
       "      <td>0.269924</td>\n",
       "      <td>0.613495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>227</td>\n",
       "      <td>Motz, Glen</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.671376</td>\n",
       "      <td>0.992935</td>\n",
       "      <td>0.268213</td>\n",
       "      <td>0.648059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>179</td>\n",
       "      <td>Lebel, Denis</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.621998</td>\n",
       "      <td>0.977755</td>\n",
       "      <td>0.232666</td>\n",
       "      <td>0.606615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>232</td>\n",
       "      <td>Nater, John</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.621190</td>\n",
       "      <td>0.985216</td>\n",
       "      <td>0.245439</td>\n",
       "      <td>0.619428</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index   Parliamentarian                         Party          Ratio  \\\n",
       "                                                          Bloc Québécois   \n",
       "28     28       Benzen, Bob  Conservative Party of Canada       0.700242   \n",
       "168   168  Kusie, Stephanie  Conservative Party of Canada       0.691898   \n",
       "227   227        Motz, Glen  Conservative Party of Canada       0.671376   \n",
       "179   179      Lebel, Denis  Conservative Party of Canada       0.621998   \n",
       "232   232       Nater, John  Conservative Party of Canada       0.621190   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "28                      0.983881  0.260049             0.619108  \n",
       "168                     0.984553  0.269924             0.613495  \n",
       "227                     0.992935  0.268213             0.648059  \n",
       "179                     0.977755  0.232666             0.606615  \n",
       "232                     0.985216  0.245439             0.619428  "
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       "      <th>Party</th>\n",
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       "      <th>Conservative Party of Canada</th>\n",
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       "      <th>New Democratic Party</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>144</td>\n",
       "      <td>Hillyer, Jim</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>141</td>\n",
       "      <td>Harper, Stephen</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.493827</td>\n",
       "      <td>0.983510</td>\n",
       "      <td>0.172938</td>\n",
       "      <td>0.472443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>240</td>\n",
       "      <td>Obhrai, Deepak</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.504386</td>\n",
       "      <td>0.938940</td>\n",
       "      <td>0.210841</td>\n",
       "      <td>0.571192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>284</td>\n",
       "      <td>Scheer, Andrew</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.505906</td>\n",
       "      <td>0.982083</td>\n",
       "      <td>0.257992</td>\n",
       "      <td>0.516169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>239</td>\n",
       "      <td>O'Toole, Erin</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.506328</td>\n",
       "      <td>0.987619</td>\n",
       "      <td>0.242821</td>\n",
       "      <td>0.480514</td>\n",
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       "    index  Parliamentarian                         Party          Ratio  \\\n",
       "                                                         Bloc Québécois   \n",
       "144   144     Hillyer, Jim  Conservative Party of Canada       0.111111   \n",
       "141   141  Harper, Stephen  Conservative Party of Canada       0.493827   \n",
       "240   240   Obhrai, Deepak  Conservative Party of Canada       0.504386   \n",
       "284   284   Scheer, Andrew  Conservative Party of Canada       0.505906   \n",
       "239   239    O'Toole, Erin  Conservative Party of Canada       0.506328   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "144                     1.000000  0.111111             0.000000  \n",
       "141                     0.983510  0.172938             0.472443  \n",
       "240                     0.938940  0.210841             0.571192  \n",
       "284                     0.982083  0.257992             0.516169  \n",
       "239                     0.987619  0.242821             0.480514  "
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       "      <th>144</th>\n",
       "      <td>144</td>\n",
       "      <td>Hillyer, Jim</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
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       "      <th>227</th>\n",
       "      <td>227</td>\n",
       "      <td>Motz, Glen</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.671376</td>\n",
       "      <td>0.992935</td>\n",
       "      <td>0.268213</td>\n",
       "      <td>0.648059</td>\n",
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       "      <th>182</th>\n",
       "      <td>182</td>\n",
       "      <td>Leitch, K. Kellie</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.589601</td>\n",
       "      <td>0.991079</td>\n",
       "      <td>0.223718</td>\n",
       "      <td>0.589610</td>\n",
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       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>109</td>\n",
       "      <td>Finley, Diane</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.566096</td>\n",
       "      <td>0.988386</td>\n",
       "      <td>0.287110</td>\n",
       "      <td>0.578697</td>\n",
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       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>145</td>\n",
       "      <td>Hoback, Randy</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.594288</td>\n",
       "      <td>0.987854</td>\n",
       "      <td>0.232581</td>\n",
       "      <td>0.587073</td>\n",
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       "    index    Parliamentarian                         Party          Ratio  \\\n",
       "                                                           Bloc Québécois   \n",
       "144   144       Hillyer, Jim  Conservative Party of Canada       0.111111   \n",
       "227   227         Motz, Glen  Conservative Party of Canada       0.671376   \n",
       "182   182  Leitch, K. Kellie  Conservative Party of Canada       0.589601   \n",
       "109   109      Finley, Diane  Conservative Party of Canada       0.566096   \n",
       "145   145      Hoback, Randy  Conservative Party of Canada       0.594288   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "144                     1.000000  0.111111             0.000000  \n",
       "227                     0.992935  0.268213             0.648059  \n",
       "182                     0.991079  0.223718             0.589610  \n",
       "109                     0.988386  0.287110             0.578697  \n",
       "145                     0.987854  0.232581             0.587073  "
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       "      <th>240</th>\n",
       "      <td>240</td>\n",
       "      <td>Obhrai, Deepak</td>\n",
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       "      <td>0.938940</td>\n",
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       "      <th>65</th>\n",
       "      <td>65</td>\n",
       "      <td>Chong, Michael D.</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.545603</td>\n",
       "      <td>0.948453</td>\n",
       "      <td>0.309999</td>\n",
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       "      <th>163</th>\n",
       "      <td>163</td>\n",
       "      <td>Kent, Peter</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.611121</td>\n",
       "      <td>0.953199</td>\n",
       "      <td>0.255865</td>\n",
       "      <td>0.614080</td>\n",
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       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>42</td>\n",
       "      <td>Boucher, Sylvie</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.612389</td>\n",
       "      <td>0.959035</td>\n",
       "      <td>0.249876</td>\n",
       "      <td>0.607387</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>303</td>\n",
       "      <td>Stanton, Bruce</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.597134</td>\n",
       "      <td>0.965346</td>\n",
       "      <td>0.272120</td>\n",
       "      <td>0.594439</td>\n",
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       "    index    Parliamentarian                         Party          Ratio  \\\n",
       "                                                           Bloc Québécois   \n",
       "240   240     Obhrai, Deepak  Conservative Party of Canada       0.504386   \n",
       "65     65  Chong, Michael D.  Conservative Party of Canada       0.545603   \n",
       "163   163        Kent, Peter  Conservative Party of Canada       0.611121   \n",
       "42     42    Boucher, Sylvie  Conservative Party of Canada       0.612389   \n",
       "303   303     Stanton, Bruce  Conservative Party of Canada       0.597134   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "240                     0.938940  0.210841             0.571192  \n",
       "65                      0.948453  0.309999             0.576489  \n",
       "163                     0.953199  0.255865             0.614080  \n",
       "42                      0.959035  0.249876             0.607387  \n",
       "303                     0.965346  0.272120             0.594439  "
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       "      <th>65</th>\n",
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       "      <td>Chong, Michael D.</td>\n",
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       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>Bernier, Maxime</td>\n",
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       "      <td>0.975117</td>\n",
       "      <td>0.294095</td>\n",
       "      <td>0.511536</td>\n",
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       "      <th>109</th>\n",
       "      <td>109</td>\n",
       "      <td>Finley, Diane</td>\n",
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       "      <th>198</th>\n",
       "      <td>198</td>\n",
       "      <td>Maguire, Larry</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.584542</td>\n",
       "      <td>0.979114</td>\n",
       "      <td>0.278775</td>\n",
       "      <td>0.571928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>31</td>\n",
       "      <td>Berthold, Luc</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.584693</td>\n",
       "      <td>0.973474</td>\n",
       "      <td>0.272579</td>\n",
       "      <td>0.589063</td>\n",
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       "    index    Parliamentarian                         Party          Ratio  \\\n",
       "                                                           Bloc Québécois   \n",
       "65     65  Chong, Michael D.  Conservative Party of Canada       0.545603   \n",
       "30     30    Bernier, Maxime  Conservative Party of Canada       0.528101   \n",
       "109   109      Finley, Diane  Conservative Party of Canada       0.566096   \n",
       "198   198     Maguire, Larry  Conservative Party of Canada       0.584542   \n",
       "31     31      Berthold, Luc  Conservative Party of Canada       0.584693   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "65                      0.948453  0.309999             0.576489  \n",
       "30                      0.975117  0.294095             0.511536  \n",
       "109                     0.988386  0.287110             0.578697  \n",
       "198                     0.979114  0.278775             0.571928  \n",
       "31                      0.973474  0.272579             0.589063  "
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       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>144</td>\n",
       "      <td>Hillyer, Jim</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>162</td>\n",
       "      <td>Kenney, Jason</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.511111</td>\n",
       "      <td>0.975028</td>\n",
       "      <td>0.137055</td>\n",
       "      <td>0.504062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>141</td>\n",
       "      <td>Harper, Stephen</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.493827</td>\n",
       "      <td>0.983510</td>\n",
       "      <td>0.172938</td>\n",
       "      <td>0.472443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>38</td>\n",
       "      <td>Blaney, Steven</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.592397</td>\n",
       "      <td>0.973573</td>\n",
       "      <td>0.183218</td>\n",
       "      <td>0.583501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>331</td>\n",
       "      <td>Watts, Dianne</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.610335</td>\n",
       "      <td>0.983217</td>\n",
       "      <td>0.210112</td>\n",
       "      <td>0.612265</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index  Parliamentarian                         Party          Ratio  \\\n",
       "                                                         Bloc Québécois   \n",
       "144   144     Hillyer, Jim  Conservative Party of Canada       0.111111   \n",
       "162   162    Kenney, Jason  Conservative Party of Canada       0.511111   \n",
       "141   141  Harper, Stephen  Conservative Party of Canada       0.493827   \n",
       "38     38   Blaney, Steven  Conservative Party of Canada       0.592397   \n",
       "331   331    Watts, Dianne  Conservative Party of Canada       0.610335   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "144                     1.000000  0.111111             0.000000  \n",
       "162                     0.975028  0.137055             0.504062  \n",
       "141                     0.983510  0.172938             0.472443  \n",
       "38                      0.973573  0.183218             0.583501  \n",
       "331                     0.983217  0.210112             0.612265  "
      ]
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       "<h4>Most like New Democratic Party</h4>"
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       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>227</td>\n",
       "      <td>Motz, Glen</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.671376</td>\n",
       "      <td>0.992935</td>\n",
       "      <td>0.268213</td>\n",
       "      <td>0.648059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>129</td>\n",
       "      <td>Godin, Joël</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.618229</td>\n",
       "      <td>0.976672</td>\n",
       "      <td>0.237334</td>\n",
       "      <td>0.631828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>232</td>\n",
       "      <td>Nater, John</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.621190</td>\n",
       "      <td>0.985216</td>\n",
       "      <td>0.245439</td>\n",
       "      <td>0.619428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>Benzen, Bob</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.700242</td>\n",
       "      <td>0.983881</td>\n",
       "      <td>0.260049</td>\n",
       "      <td>0.619108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>163</td>\n",
       "      <td>Kent, Peter</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.611121</td>\n",
       "      <td>0.953199</td>\n",
       "      <td>0.255865</td>\n",
       "      <td>0.614080</td>\n",
       "    </tr>\n",
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       "</table>\n",
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      ],
      "text/plain": [
       "    index Parliamentarian                         Party          Ratio  \\\n",
       "                                                        Bloc Québécois   \n",
       "227   227      Motz, Glen  Conservative Party of Canada       0.671376   \n",
       "129   129     Godin, Joël  Conservative Party of Canada       0.618229   \n",
       "232   232     Nater, John  Conservative Party of Canada       0.621190   \n",
       "28     28     Benzen, Bob  Conservative Party of Canada       0.700242   \n",
       "163   163     Kent, Peter  Conservative Party of Canada       0.611121   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "227                     0.992935  0.268213             0.648059  \n",
       "129                     0.976672  0.237334             0.631828  \n",
       "232                     0.985216  0.245439             0.619428  \n",
       "28                      0.983881  0.260049             0.619108  \n",
       "163                     0.953199  0.255865             0.614080  "
      ]
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>144</td>\n",
       "      <td>Hillyer, Jim</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.111111</td>\n",
       "      <td>0.000000</td>\n",
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       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>141</td>\n",
       "      <td>Harper, Stephen</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.493827</td>\n",
       "      <td>0.983510</td>\n",
       "      <td>0.172938</td>\n",
       "      <td>0.472443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>239</td>\n",
       "      <td>O'Toole, Erin</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.506328</td>\n",
       "      <td>0.987619</td>\n",
       "      <td>0.242821</td>\n",
       "      <td>0.480514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>162</td>\n",
       "      <td>Kenney, Jason</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.511111</td>\n",
       "      <td>0.975028</td>\n",
       "      <td>0.137055</td>\n",
       "      <td>0.504062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>30</td>\n",
       "      <td>Bernier, Maxime</td>\n",
       "      <td>Conservative Party of Canada</td>\n",
       "      <td>0.528101</td>\n",
       "      <td>0.975117</td>\n",
       "      <td>0.294095</td>\n",
       "      <td>0.511536</td>\n",
       "    </tr>\n",
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       "    index  Parliamentarian                         Party          Ratio  \\\n",
       "                                                         Bloc Québécois   \n",
       "144   144     Hillyer, Jim  Conservative Party of Canada       0.111111   \n",
       "141   141  Harper, Stephen  Conservative Party of Canada       0.493827   \n",
       "239   239    O'Toole, Erin  Conservative Party of Canada       0.506328   \n",
       "162   162    Kenney, Jason  Conservative Party of Canada       0.511111   \n",
       "30     30  Bernier, Maxime  Conservative Party of Canada       0.528101   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "144                     1.000000  0.111111             0.000000  \n",
       "141                     0.983510  0.172938             0.472443  \n",
       "239                     0.987619  0.242821             0.480514  \n",
       "162                     0.975028  0.137055             0.504062  \n",
       "30                      0.975117  0.294095             0.511536  "
      ]
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       "      <th>index</th>\n",
       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
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       "      <th>New Democratic Party</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>Bélanger, Mauril</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.106471</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>277</td>\n",
       "      <td>Sajjan, Harjit Singh</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.426156</td>\n",
       "      <td>0.266091</td>\n",
       "      <td>0.978805</td>\n",
       "      <td>0.442571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>137</td>\n",
       "      <td>Hajdu, Patricia</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.415947</td>\n",
       "      <td>0.269278</td>\n",
       "      <td>0.976904</td>\n",
       "      <td>0.422462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>102</td>\n",
       "      <td>Erskine-Smith, Nathaniel</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.414906</td>\n",
       "      <td>0.230091</td>\n",
       "      <td>0.898201</td>\n",
       "      <td>0.495872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>142</td>\n",
       "      <td>Harvey, Thomas J.</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.410905</td>\n",
       "      <td>0.298526</td>\n",
       "      <td>0.966073</td>\n",
       "      <td>0.455277</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    index           Parliamentarian    Party          Ratio  \\\n",
       "                                             Bloc Québécois   \n",
       "52     52          Bélanger, Mauril  Liberal       0.650000   \n",
       "277   277      Sajjan, Harjit Singh  Liberal       0.426156   \n",
       "137   137           Hajdu, Patricia  Liberal       0.415947   \n",
       "102   102  Erskine-Smith, Nathaniel  Liberal       0.414906   \n",
       "142   142         Harvey, Thomas J.  Liberal       0.410905   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "52                      0.106471  1.000000             0.750000  \n",
       "277                     0.266091  0.978805             0.442571  \n",
       "137                     0.269278  0.976904             0.422462  \n",
       "102                     0.230091  0.898201             0.495872  \n",
       "142                     0.298526  0.966073             0.455277  "
      ]
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       "      <th>index</th>\n",
       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>119</td>\n",
       "      <td>Freeland, Chrystia</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.308140</td>\n",
       "      <td>0.252980</td>\n",
       "      <td>0.930108</td>\n",
       "      <td>0.366379</td>\n",
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       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>234</td>\n",
       "      <td>Ng, Mary</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.319385</td>\n",
       "      <td>0.242696</td>\n",
       "      <td>0.997529</td>\n",
       "      <td>0.380637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>171</td>\n",
       "      <td>Lambropoulos, Emmanuella</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.325278</td>\n",
       "      <td>0.158316</td>\n",
       "      <td>0.997411</td>\n",
       "      <td>0.423054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>113</td>\n",
       "      <td>Foote, Judy</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.330896</td>\n",
       "      <td>0.190609</td>\n",
       "      <td>0.800324</td>\n",
       "      <td>0.358828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>114</td>\n",
       "      <td>Fortier, Mona</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.333565</td>\n",
       "      <td>0.258473</td>\n",
       "      <td>0.997580</td>\n",
       "      <td>0.372707</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index           Parliamentarian    Party          Ratio  \\\n",
       "                                             Bloc Québécois   \n",
       "119   119        Freeland, Chrystia  Liberal       0.308140   \n",
       "234   234                  Ng, Mary  Liberal       0.319385   \n",
       "171   171  Lambropoulos, Emmanuella  Liberal       0.325278   \n",
       "113   113               Foote, Judy  Liberal       0.330896   \n",
       "114   114             Fortier, Mona  Liberal       0.333565   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "119                     0.252980  0.930108             0.366379  \n",
       "234                     0.242696  0.997529             0.380637  \n",
       "171                     0.158316  0.997411             0.423054  \n",
       "113                     0.190609  0.800324             0.358828  \n",
       "114                     0.258473  0.997580             0.372707  "
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>142</td>\n",
       "      <td>Harvey, Thomas J.</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.410905</td>\n",
       "      <td>0.298526</td>\n",
       "      <td>0.966073</td>\n",
       "      <td>0.455277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>63</td>\n",
       "      <td>Chan, Arnold</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.399267</td>\n",
       "      <td>0.286194</td>\n",
       "      <td>0.957838</td>\n",
       "      <td>0.436922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>270</td>\n",
       "      <td>Rota, Anthony</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.371912</td>\n",
       "      <td>0.275894</td>\n",
       "      <td>0.962107</td>\n",
       "      <td>0.430911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>213</td>\n",
       "      <td>McKay, John</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.389711</td>\n",
       "      <td>0.275083</td>\n",
       "      <td>0.973684</td>\n",
       "      <td>0.438354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>64</td>\n",
       "      <td>Chen, Shaun</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.364133</td>\n",
       "      <td>0.274603</td>\n",
       "      <td>0.978419</td>\n",
       "      <td>0.427986</td>\n",
       "    </tr>\n",
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       "    index    Parliamentarian    Party          Ratio  \\\n",
       "                                      Bloc Québécois   \n",
       "142   142  Harvey, Thomas J.  Liberal       0.410905   \n",
       "63     63       Chan, Arnold  Liberal       0.399267   \n",
       "270   270      Rota, Anthony  Liberal       0.371912   \n",
       "213   213        McKay, John  Liberal       0.389711   \n",
       "64     64        Chen, Shaun  Liberal       0.364133   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "142                     0.298526  0.966073             0.455277  \n",
       "63                      0.286194  0.957838             0.436922  \n",
       "270                     0.275894  0.962107             0.430911  \n",
       "213                     0.275083  0.973684             0.438354  \n",
       "64                      0.274603  0.978419             0.427986  "
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>Bélanger, Mauril</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.106471</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>316</td>\n",
       "      <td>Tootoo, Hunter</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.402985</td>\n",
       "      <td>0.136854</td>\n",
       "      <td>0.996621</td>\n",
       "      <td>0.400016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>171</td>\n",
       "      <td>Lambropoulos, Emmanuella</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.325278</td>\n",
       "      <td>0.158316</td>\n",
       "      <td>0.997411</td>\n",
       "      <td>0.423054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>113</td>\n",
       "      <td>Foote, Judy</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.330896</td>\n",
       "      <td>0.190609</td>\n",
       "      <td>0.800324</td>\n",
       "      <td>0.358828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>77</td>\n",
       "      <td>DeCourcey, Matt</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.366905</td>\n",
       "      <td>0.221796</td>\n",
       "      <td>0.978736</td>\n",
       "      <td>0.374758</td>\n",
       "    </tr>\n",
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       "    index           Parliamentarian    Party          Ratio  \\\n",
       "                                             Bloc Québécois   \n",
       "52     52          Bélanger, Mauril  Liberal       0.650000   \n",
       "316   316            Tootoo, Hunter  Liberal       0.402985   \n",
       "171   171  Lambropoulos, Emmanuella  Liberal       0.325278   \n",
       "113   113               Foote, Judy  Liberal       0.330896   \n",
       "77     77           DeCourcey, Matt  Liberal       0.366905   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "52                      0.106471  1.000000             0.750000  \n",
       "316                     0.136854  0.996621             0.400016  \n",
       "171                     0.158316  0.997411             0.423054  \n",
       "113                     0.190609  0.800324             0.358828  \n",
       "77                      0.221796  0.978736             0.374758  "
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       "  <tbody>\n",
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       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>Bélanger, Mauril</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.106471</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.750000</td>\n",
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       "      <th>114</th>\n",
       "      <td>114</td>\n",
       "      <td>Fortier, Mona</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.333565</td>\n",
       "      <td>0.258473</td>\n",
       "      <td>0.997580</td>\n",
       "      <td>0.372707</td>\n",
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       "      <th>234</th>\n",
       "      <td>234</td>\n",
       "      <td>Ng, Mary</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.319385</td>\n",
       "      <td>0.242696</td>\n",
       "      <td>0.997529</td>\n",
       "      <td>0.380637</td>\n",
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       "      <th>171</th>\n",
       "      <td>171</td>\n",
       "      <td>Lambropoulos, Emmanuella</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.325278</td>\n",
       "      <td>0.158316</td>\n",
       "      <td>0.997411</td>\n",
       "      <td>0.423054</td>\n",
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       "      <th>316</th>\n",
       "      <td>316</td>\n",
       "      <td>Tootoo, Hunter</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.402985</td>\n",
       "      <td>0.136854</td>\n",
       "      <td>0.996621</td>\n",
       "      <td>0.400016</td>\n",
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       "    index           Parliamentarian    Party          Ratio  \\\n",
       "                                             Bloc Québécois   \n",
       "52     52          Bélanger, Mauril  Liberal       0.650000   \n",
       "114   114             Fortier, Mona  Liberal       0.333565   \n",
       "234   234                  Ng, Mary  Liberal       0.319385   \n",
       "171   171  Lambropoulos, Emmanuella  Liberal       0.325278   \n",
       "316   316            Tootoo, Hunter  Liberal       0.402985   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "52                      0.106471  1.000000             0.750000  \n",
       "114                     0.258473  0.997580             0.372707  \n",
       "234                     0.242696  0.997529             0.380637  \n",
       "171                     0.158316  0.997411             0.423054  \n",
       "316                     0.136854  0.996621             0.400016  "
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>113</td>\n",
       "      <td>Foote, Judy</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.330896</td>\n",
       "      <td>0.190609</td>\n",
       "      <td>0.800324</td>\n",
       "      <td>0.358828</td>\n",
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       "      <th>102</th>\n",
       "      <td>102</td>\n",
       "      <td>Erskine-Smith, Nathaniel</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.414906</td>\n",
       "      <td>0.230091</td>\n",
       "      <td>0.898201</td>\n",
       "      <td>0.495872</td>\n",
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       "      <th>119</th>\n",
       "      <td>119</td>\n",
       "      <td>Freeland, Chrystia</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.308140</td>\n",
       "      <td>0.252980</td>\n",
       "      <td>0.930108</td>\n",
       "      <td>0.366379</td>\n",
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       "      <th>243</th>\n",
       "      <td>243</td>\n",
       "      <td>Ouellette, Robert-Falcon</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.380117</td>\n",
       "      <td>0.260354</td>\n",
       "      <td>0.939897</td>\n",
       "      <td>0.448485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>241</td>\n",
       "      <td>Oliphant, Robert</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.354036</td>\n",
       "      <td>0.243742</td>\n",
       "      <td>0.956269</td>\n",
       "      <td>0.418351</td>\n",
       "    </tr>\n",
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       "    index           Parliamentarian    Party          Ratio  \\\n",
       "                                             Bloc Québécois   \n",
       "113   113               Foote, Judy  Liberal       0.330896   \n",
       "102   102  Erskine-Smith, Nathaniel  Liberal       0.414906   \n",
       "119   119        Freeland, Chrystia  Liberal       0.308140   \n",
       "243   243  Ouellette, Robert-Falcon  Liberal       0.380117   \n",
       "241   241          Oliphant, Robert  Liberal       0.354036   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "113                     0.190609  0.800324             0.358828  \n",
       "102                     0.230091  0.898201             0.495872  \n",
       "119                     0.252980  0.930108             0.366379  \n",
       "243                     0.260354  0.939897             0.448485  \n",
       "241                     0.243742  0.956269             0.418351  "
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       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
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       "      <th>52</th>\n",
       "      <td>52</td>\n",
       "      <td>Bélanger, Mauril</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.106471</td>\n",
       "      <td>1.000000</td>\n",
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       "      <th>102</th>\n",
       "      <td>102</td>\n",
       "      <td>Erskine-Smith, Nathaniel</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.414906</td>\n",
       "      <td>0.230091</td>\n",
       "      <td>0.898201</td>\n",
       "      <td>0.495872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>142</td>\n",
       "      <td>Harvey, Thomas J.</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.410905</td>\n",
       "      <td>0.298526</td>\n",
       "      <td>0.966073</td>\n",
       "      <td>0.455277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>296</td>\n",
       "      <td>Sikand, Gagan</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.392166</td>\n",
       "      <td>0.258538</td>\n",
       "      <td>0.976651</td>\n",
       "      <td>0.451782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>243</td>\n",
       "      <td>Ouellette, Robert-Falcon</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.380117</td>\n",
       "      <td>0.260354</td>\n",
       "      <td>0.939897</td>\n",
       "      <td>0.448485</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index           Parliamentarian    Party          Ratio  \\\n",
       "                                             Bloc Québécois   \n",
       "52     52          Bélanger, Mauril  Liberal       0.650000   \n",
       "102   102  Erskine-Smith, Nathaniel  Liberal       0.414906   \n",
       "142   142         Harvey, Thomas J.  Liberal       0.410905   \n",
       "296   296             Sikand, Gagan  Liberal       0.392166   \n",
       "243   243  Ouellette, Robert-Falcon  Liberal       0.380117   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "52                      0.106471  1.000000             0.750000  \n",
       "102                     0.230091  0.898201             0.495872  \n",
       "142                     0.298526  0.966073             0.455277  \n",
       "296                     0.258538  0.976651             0.451782  \n",
       "243                     0.260354  0.939897             0.448485  "
      ]
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>92</td>\n",
       "      <td>Duncan, Kirsty</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.354285</td>\n",
       "      <td>0.235567</td>\n",
       "      <td>0.978704</td>\n",
       "      <td>0.357763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>113</td>\n",
       "      <td>Foote, Judy</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.330896</td>\n",
       "      <td>0.190609</td>\n",
       "      <td>0.800324</td>\n",
       "      <td>0.358828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>247</td>\n",
       "      <td>Peschisolido, Joe</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.348697</td>\n",
       "      <td>0.226368</td>\n",
       "      <td>0.980533</td>\n",
       "      <td>0.361524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>119</td>\n",
       "      <td>Freeland, Chrystia</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.308140</td>\n",
       "      <td>0.252980</td>\n",
       "      <td>0.930108</td>\n",
       "      <td>0.366379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>155</td>\n",
       "      <td>Joly, Mélanie</td>\n",
       "      <td>Liberal</td>\n",
       "      <td>0.352019</td>\n",
       "      <td>0.224959</td>\n",
       "      <td>0.980156</td>\n",
       "      <td>0.370388</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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       "    index     Parliamentarian    Party          Ratio  \\\n",
       "                                       Bloc Québécois   \n",
       "92     92      Duncan, Kirsty  Liberal       0.354285   \n",
       "113   113         Foote, Judy  Liberal       0.330896   \n",
       "247   247   Peschisolido, Joe  Liberal       0.348697   \n",
       "119   119  Freeland, Chrystia  Liberal       0.308140   \n",
       "155   155       Joly, Mélanie  Liberal       0.352019   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "92                      0.235567  0.978704             0.357763  \n",
       "113                     0.190609  0.800324             0.358828  \n",
       "247                     0.226368  0.980533             0.361524  \n",
       "119                     0.252980  0.930108             0.366379  \n",
       "155                     0.224959  0.980156             0.370388  "
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
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       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>228</td>\n",
       "      <td>Mulcair, Thomas J.</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.841700</td>\n",
       "      <td>0.573265</td>\n",
       "      <td>0.416328</td>\n",
       "      <td>0.987914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>Boulerice, Alexandre</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.839472</td>\n",
       "      <td>0.604825</td>\n",
       "      <td>0.382899</td>\n",
       "      <td>0.983131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>85</td>\n",
       "      <td>Donnelly, Fin</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.836285</td>\n",
       "      <td>0.617598</td>\n",
       "      <td>0.409498</td>\n",
       "      <td>0.988211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>274</td>\n",
       "      <td>Saganash, Romeo</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.836122</td>\n",
       "      <td>0.592415</td>\n",
       "      <td>0.415691</td>\n",
       "      <td>0.987319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>138</td>\n",
       "      <td>Hardcastle, Cheryl</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.834909</td>\n",
       "      <td>0.561111</td>\n",
       "      <td>0.397166</td>\n",
       "      <td>0.990005</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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       "    index       Parliamentarian                 Party          Ratio  \\\n",
       "                                                      Bloc Québécois   \n",
       "228   228    Mulcair, Thomas J.  New Democratic Party       0.841700   \n",
       "44     44  Boulerice, Alexandre  New Democratic Party       0.839472   \n",
       "85     85         Donnelly, Fin  New Democratic Party       0.836285   \n",
       "274   274       Saganash, Romeo  New Democratic Party       0.836122   \n",
       "138   138    Hardcastle, Cheryl  New Democratic Party       0.834909   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "228                     0.573265  0.416328             0.987914  \n",
       "44                      0.604825  0.382899             0.983131  \n",
       "85                      0.617598  0.409498             0.988211  \n",
       "274                     0.592415  0.415691             0.987319  \n",
       "138                     0.561111  0.397166             0.990005  "
      ]
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       "      <th>Parliamentarian</th>\n",
       "      <th>Party</th>\n",
       "      <th colspan=\"4\" halign=\"left\">Ratio</th>\n",
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       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>224</td>\n",
       "      <td>Moore, Christine</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.596574</td>\n",
       "      <td>0.407402</td>\n",
       "      <td>0.290188</td>\n",
       "      <td>0.737651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>154</td>\n",
       "      <td>Jolibois, Georgina</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.772102</td>\n",
       "      <td>0.577917</td>\n",
       "      <td>0.480632</td>\n",
       "      <td>0.982112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>199</td>\n",
       "      <td>Malcolmson, Sheila</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.807995</td>\n",
       "      <td>0.578492</td>\n",
       "      <td>0.422353</td>\n",
       "      <td>0.983669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Ashton, Niki</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.808979</td>\n",
       "      <td>0.533219</td>\n",
       "      <td>0.464362</td>\n",
       "      <td>0.993661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>259</td>\n",
       "      <td>Rankin, Murray</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.809195</td>\n",
       "      <td>0.567030</td>\n",
       "      <td>0.433492</td>\n",
       "      <td>0.984941</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
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       "    index     Parliamentarian                 Party          Ratio  \\\n",
       "                                                    Bloc Québécois   \n",
       "224   224    Moore, Christine  New Democratic Party       0.596574   \n",
       "154   154  Jolibois, Georgina  New Democratic Party       0.772102   \n",
       "199   199  Malcolmson, Sheila  New Democratic Party       0.807995   \n",
       "15     15        Ashton, Niki  New Democratic Party       0.808979   \n",
       "259   259      Rankin, Murray  New Democratic Party       0.809195   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "224                     0.407402  0.290188             0.737651  \n",
       "154                     0.577917  0.480632             0.982112  \n",
       "199                     0.578492  0.422353             0.983669  \n",
       "15                      0.533219  0.464362             0.993661  \n",
       "259                     0.567030  0.433492             0.984941  "
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>72</td>\n",
       "      <td>Cullen, Nathan</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.820685</td>\n",
       "      <td>0.637840</td>\n",
       "      <td>0.380529</td>\n",
       "      <td>0.990825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>334</td>\n",
       "      <td>Weir, Erin</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.814309</td>\n",
       "      <td>0.625372</td>\n",
       "      <td>0.389292</td>\n",
       "      <td>0.978216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>85</td>\n",
       "      <td>Donnelly, Fin</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.836285</td>\n",
       "      <td>0.617598</td>\n",
       "      <td>0.409498</td>\n",
       "      <td>0.988211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>Benson, Sheri</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.820668</td>\n",
       "      <td>0.609792</td>\n",
       "      <td>0.406962</td>\n",
       "      <td>0.987868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>Boulerice, Alexandre</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.839472</td>\n",
       "      <td>0.604825</td>\n",
       "      <td>0.382899</td>\n",
       "      <td>0.983131</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "    index       Parliamentarian                 Party          Ratio  \\\n",
       "                                                      Bloc Québécois   \n",
       "72     72        Cullen, Nathan  New Democratic Party       0.820685   \n",
       "334   334            Weir, Erin  New Democratic Party       0.814309   \n",
       "85     85         Donnelly, Fin  New Democratic Party       0.836285   \n",
       "27     27         Benson, Sheri  New Democratic Party       0.820668   \n",
       "44     44  Boulerice, Alexandre  New Democratic Party       0.839472   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "72                      0.637840  0.380529             0.990825  \n",
       "334                     0.625372  0.389292             0.978216  \n",
       "85                      0.617598  0.409498             0.988211  \n",
       "27                      0.609792  0.406962             0.987868  \n",
       "44                      0.604825  0.382899             0.983131  "
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>Bloc Québécois</th>\n",
       "      <th>Conservative Party of Canada</th>\n",
       "      <th>Liberal</th>\n",
       "      <th>New Democratic Party</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>224</td>\n",
       "      <td>Moore, Christine</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.596574</td>\n",
       "      <td>0.407402</td>\n",
       "      <td>0.290188</td>\n",
       "      <td>0.737651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Ashton, Niki</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.808979</td>\n",
       "      <td>0.533219</td>\n",
       "      <td>0.464362</td>\n",
       "      <td>0.993661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>204</td>\n",
       "      <td>Mathyssen, Irene</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.821465</td>\n",
       "      <td>0.540784</td>\n",
       "      <td>0.433538</td>\n",
       "      <td>0.991321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>159</td>\n",
       "      <td>Julian, Peter</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.810097</td>\n",
       "      <td>0.544003</td>\n",
       "      <td>0.449215</td>\n",
       "      <td>0.989812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>Angus, Charlie</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.821094</td>\n",
       "      <td>0.551730</td>\n",
       "      <td>0.422999</td>\n",
       "      <td>0.984549</td>\n",
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       "    index   Parliamentarian                 Party          Ratio  \\\n",
       "                                                  Bloc Québécois   \n",
       "224   224  Moore, Christine  New Democratic Party       0.596574   \n",
       "15     15      Ashton, Niki  New Democratic Party       0.808979   \n",
       "204   204  Mathyssen, Irene  New Democratic Party       0.821465   \n",
       "159   159     Julian, Peter  New Democratic Party       0.810097   \n",
       "11     11    Angus, Charlie  New Democratic Party       0.821094   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "224                     0.407402  0.290188             0.737651  \n",
       "15                      0.533219  0.464362             0.993661  \n",
       "204                     0.540784  0.433538             0.991321  \n",
       "159                     0.544003  0.449215             0.989812  \n",
       "11                      0.551730  0.422999             0.984549  "
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       "      <th>154</th>\n",
       "      <td>154</td>\n",
       "      <td>Jolibois, Georgina</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.772102</td>\n",
       "      <td>0.577917</td>\n",
       "      <td>0.480632</td>\n",
       "      <td>0.982112</td>\n",
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       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Ashton, Niki</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.808979</td>\n",
       "      <td>0.533219</td>\n",
       "      <td>0.464362</td>\n",
       "      <td>0.993661</td>\n",
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       "      <th>159</th>\n",
       "      <td>159</td>\n",
       "      <td>Julian, Peter</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.810097</td>\n",
       "      <td>0.544003</td>\n",
       "      <td>0.449215</td>\n",
       "      <td>0.989812</td>\n",
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       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>319</td>\n",
       "      <td>Trudel, Karine</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.815946</td>\n",
       "      <td>0.559866</td>\n",
       "      <td>0.442257</td>\n",
       "      <td>0.985305</td>\n",
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       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>93</td>\n",
       "      <td>Duncan, Linda Francis</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.822461</td>\n",
       "      <td>0.589468</td>\n",
       "      <td>0.436305</td>\n",
       "      <td>0.983280</td>\n",
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       "    index        Parliamentarian                 Party          Ratio  \\\n",
       "                                                       Bloc Québécois   \n",
       "154   154     Jolibois, Georgina  New Democratic Party       0.772102   \n",
       "15     15           Ashton, Niki  New Democratic Party       0.808979   \n",
       "159   159          Julian, Peter  New Democratic Party       0.810097   \n",
       "319   319         Trudel, Karine  New Democratic Party       0.815946   \n",
       "93     93  Duncan, Linda Francis  New Democratic Party       0.822461   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "154                     0.577917  0.480632             0.982112  \n",
       "15                      0.533219  0.464362             0.993661  \n",
       "159                     0.544003  0.449215             0.989812  \n",
       "319                     0.559866  0.442257             0.985305  \n",
       "93                      0.589468  0.436305             0.983280  "
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       "      <th>224</th>\n",
       "      <td>224</td>\n",
       "      <td>Moore, Christine</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.596574</td>\n",
       "      <td>0.407402</td>\n",
       "      <td>0.290188</td>\n",
       "      <td>0.737651</td>\n",
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       "      <th>72</th>\n",
       "      <td>72</td>\n",
       "      <td>Cullen, Nathan</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.820685</td>\n",
       "      <td>0.637840</td>\n",
       "      <td>0.380529</td>\n",
       "      <td>0.990825</td>\n",
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       "      <th>44</th>\n",
       "      <td>44</td>\n",
       "      <td>Boulerice, Alexandre</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.839472</td>\n",
       "      <td>0.604825</td>\n",
       "      <td>0.382899</td>\n",
       "      <td>0.983131</td>\n",
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       "      <th>334</th>\n",
       "      <td>334</td>\n",
       "      <td>Weir, Erin</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.814309</td>\n",
       "      <td>0.625372</td>\n",
       "      <td>0.389292</td>\n",
       "      <td>0.978216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>195</td>\n",
       "      <td>MacGregor, Alistair</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.817638</td>\n",
       "      <td>0.604644</td>\n",
       "      <td>0.396788</td>\n",
       "      <td>0.982683</td>\n",
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       "    index       Parliamentarian                 Party          Ratio  \\\n",
       "                                                      Bloc Québécois   \n",
       "224   224      Moore, Christine  New Democratic Party       0.596574   \n",
       "72     72        Cullen, Nathan  New Democratic Party       0.820685   \n",
       "44     44  Boulerice, Alexandre  New Democratic Party       0.839472   \n",
       "334   334            Weir, Erin  New Democratic Party       0.814309   \n",
       "195   195   MacGregor, Alistair  New Democratic Party       0.817638   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "224                     0.407402  0.290188             0.737651  \n",
       "72                      0.637840  0.380529             0.990825  \n",
       "44                      0.604825  0.382899             0.983131  \n",
       "334                     0.625372  0.389292             0.978216  \n",
       "195                     0.604644  0.396788             0.982683  "
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       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>Ashton, Niki</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.808979</td>\n",
       "      <td>0.533219</td>\n",
       "      <td>0.464362</td>\n",
       "      <td>0.993661</td>\n",
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       "      <th>56</th>\n",
       "      <td>56</td>\n",
       "      <td>Caron, Guy</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.826356</td>\n",
       "      <td>0.552667</td>\n",
       "      <td>0.433605</td>\n",
       "      <td>0.993299</td>\n",
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       "      <th>204</th>\n",
       "      <td>204</td>\n",
       "      <td>Mathyssen, Irene</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.821465</td>\n",
       "      <td>0.540784</td>\n",
       "      <td>0.433538</td>\n",
       "      <td>0.991321</td>\n",
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       "      <th>72</th>\n",
       "      <td>72</td>\n",
       "      <td>Cullen, Nathan</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.820685</td>\n",
       "      <td>0.637840</td>\n",
       "      <td>0.380529</td>\n",
       "      <td>0.990825</td>\n",
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       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>138</td>\n",
       "      <td>Hardcastle, Cheryl</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.834909</td>\n",
       "      <td>0.561111</td>\n",
       "      <td>0.397166</td>\n",
       "      <td>0.990005</td>\n",
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       "    index     Parliamentarian                 Party          Ratio  \\\n",
       "                                                    Bloc Québécois   \n",
       "15     15        Ashton, Niki  New Democratic Party       0.808979   \n",
       "56     56          Caron, Guy  New Democratic Party       0.826356   \n",
       "204   204    Mathyssen, Irene  New Democratic Party       0.821465   \n",
       "72     72      Cullen, Nathan  New Democratic Party       0.820685   \n",
       "138   138  Hardcastle, Cheryl  New Democratic Party       0.834909   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "15                      0.533219  0.464362             0.993661  \n",
       "56                      0.552667  0.433605             0.993299  \n",
       "204                     0.540784  0.433538             0.991321  \n",
       "72                      0.637840  0.380529             0.990825  \n",
       "138                     0.561111  0.397166             0.990005  "
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>224</td>\n",
       "      <td>Moore, Christine</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.596574</td>\n",
       "      <td>0.407402</td>\n",
       "      <td>0.290188</td>\n",
       "      <td>0.737651</td>\n",
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       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>334</td>\n",
       "      <td>Weir, Erin</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.814309</td>\n",
       "      <td>0.625372</td>\n",
       "      <td>0.389292</td>\n",
       "      <td>0.978216</td>\n",
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       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>35</td>\n",
       "      <td>Blaikie, Daniel</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.813375</td>\n",
       "      <td>0.601563</td>\n",
       "      <td>0.413172</td>\n",
       "      <td>0.979177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>76</td>\n",
       "      <td>Davies, Don</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.816633</td>\n",
       "      <td>0.599619</td>\n",
       "      <td>0.425508</td>\n",
       "      <td>0.980779</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>154</td>\n",
       "      <td>Jolibois, Georgina</td>\n",
       "      <td>New Democratic Party</td>\n",
       "      <td>0.772102</td>\n",
       "      <td>0.577917</td>\n",
       "      <td>0.480632</td>\n",
       "      <td>0.982112</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index     Parliamentarian                 Party          Ratio  \\\n",
       "                                                    Bloc Québécois   \n",
       "224   224    Moore, Christine  New Democratic Party       0.596574   \n",
       "334   334          Weir, Erin  New Democratic Party       0.814309   \n",
       "35     35     Blaikie, Daniel  New Democratic Party       0.813375   \n",
       "76     76         Davies, Don  New Democratic Party       0.816633   \n",
       "154   154  Jolibois, Georgina  New Democratic Party       0.772102   \n",
       "\n",
       "                                                                 \n",
       "    Conservative Party of Canada   Liberal New Democratic Party  \n",
       "224                     0.407402  0.290188             0.737651  \n",
       "334                     0.625372  0.389292             0.978216  \n",
       "35                      0.601563  0.413172             0.979177  \n",
       "76                      0.599619  0.425508             0.980779  \n",
       "154                     0.577917  0.480632             0.982112  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = mp_party_similarity.reset_index()\n",
    "for source in mp_party_similarity.columns.levels[1].values[0:5]:\n",
    "    if not source:\n",
    "        continue\n",
    "    if source == \"Green Party of Canada\":\n",
    "        continue\n",
    "    for target in mp_party_similarity.columns.levels[1].values[0:5]:\n",
    "        if target:\n",
    "            display(HTML(\"\"\"<h3>{} MPs</h3>\"\"\".format(source)))\n",
    "            display(HTML(\"\"\"<h4>Most like {}</h4>\"\"\".format(target)))\n",
    "            display(df[df[\"Party\"] == source].sort_values((\"Ratio\", target), ascending=False).head(5))\n",
    "            display(HTML(\"\"\"<h4>Least like {}</h4>\"\"\".format(target)))\n",
    "            display(df[df[\"Party\"] == source].sort_values((\"Ratio\", target)).head(5))"
   ]
  }
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