consensus cluster

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   "cells": [

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     "cell_type": "heading",

     "level": 1,

     "metadata": {},

     "source": [

      "An\u00e1lisis de frecuencia de rango con uso de consensus clustering"

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Un aspecto que ha llamado la atenci\u00f3n desde hace unos a\u00f1os en \u00e1rea de predicci\u00f3n en los sistemas de bike sharing ha sido el de poder encontrar similitudes entre las estaciones que forman parte del sistema. Al encontrar estas similitudes quiz\u00e1 estos nos traigan un atisbo que nos sea de ayuda en la planeaci\u00f3n del sistema en la agregaci\u00f3n, eliminaci\u00f3n o un cambio que se realice en las estaciones.\n",

      "\n",

      "En un experimento anterior hemos obtenido la diversidad de rango perteneciente a las estaciones de Ecobici en los periodos de la primera y tercera fase. Para este experimento utilizaremos un conjunto ligeramente diferente para obtener otro enfoque en la interpretabilidad que \u00e9stas nos puede arrojar sobre el comportamiento del sistema."

     ]

    },

    {

     "cell_type": "heading",

     "level": 1,

     "metadata": {},

     "source": [

      "Frecuencia de uso en el rango por estaci\u00f3n."

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Diversidad de rango puede verse como una medida en frecuencia de uso en el sistema, el siguiente enfoque que se presentar\u00e1 a continuaci\u00f3n puede interpretarse como una medida de comportamiento en las estaciones mismas\n",

      "\n",

      "Primero que nada, se deben de obtener y tratar los datos para que obtengan la forma necesaria para realizar el an\u00e1lisis sobre ellos: Lo primero que se desea hacer es ordenar los conteos por estaci\u00f3n $e_1$,$e_2$,...$e_n$ a lo largo de los d\u00edas de manera que $e_1$ sea la estaci\u00f3n con m\u00e1s conteos, seguido de $e_2$, hasta llegar a $e_n$, obteniendo una matriz de D x E donde D son los d\u00edas transcurridos y E el conjunto de estaciones ordenados de mayor a menor:"

     ]

    },

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     ],

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    },

    {

     "cell_type": "code",

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     "input": [

      "%matplotlib inline\n",

      "import matplotlib.pyplot as plt\n",

      "import pandas as pd\n",

      "import numpy as np\n",

      "import seaborn as sns; sns.set()\n",

      "from sklearn import preprocessing"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 2

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "def get_dr(phase):\n",

      "    data = dict([(r[0], list(phase.columns[np.argsort(list(r)[1: ])[::-1]])) \\\n",

      "        for r in list(phase.to_records())])\n",

      "    \n",

      "    dr = pd.DataFrame.from_dict(data, orient='index', dtype=None)\n",

      "    dr = dr.sort_index()\n",

      "\n",

      "    return dr"

     ],

     "language": "python",

     "metadata": {},

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     "prompt_number": 3

    },

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     "cell_type": "code",

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     "input": [

      "def normalizeColumns(data):\n",

      "    \n",

      "    #returns scaled column values of a pandas dataset\n",

      "    x = data.values #returns a numpy array\n",

      "    min_max_scaler = preprocessing.MinMaxScaler()\n",

      "    x_scaled = min_max_scaler.fit_transform(x)\n",

      "    dt_norm = pd.DataFrame(x_scaled)\n",

      "    dt_norm.index = data.index\n",

      "    \n",

      "    return dt_norm"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 4

    },

    {

     "cell_type": "code",

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     "input": [

      "def plot_freqHeatmap(data):\n",

      "    norm_data = normalizeColumns(data)\n",

      "    \n",

      "    fig, ax = plt.subplots(1, 2, figsize=(16, 6), sharey=True)\n",

      "    ax[0].set_title('Station over rank frequency')\n",

      "    ax[1].set_title('Normalized Station over rank frequency')\n",

      "\n",

      "    sns.heatmap(data, ax=ax[0])\n",

      "    sns.heatmap(norm_data, ax=ax[1])\n",

      "\n",

      "    plt.show()"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 5

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "def frequencyRank(column):\n",

      "    return column.value_counts()"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 6

    },

    {

     "cell_type": "code",

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     "input": [

      "def load_daytrips():\n",

      "    path = r'D:\\ownCloud\\Documentos posgrado\\Posgrado 2do semestre\\Seminario investigacion\\Experimental Data\\Cd Mex\\Movilidad\\Hist Ecobici\\ecobici.csv'\n",

      "    trips = pd.read_csv(path,\n",

      "                    parse_dates=['date_removed', 'date_arrived'],\n",

      "                    infer_datetime_format=True)\n",

      "\n",

      "    # Find the start date\n",

      "    ind = pd.DatetimeIndex(trips.date_arrived)\n",

      "    trips['date'] = ind.date.astype('datetime64')\n",

      "    trips['hour'] = ind.hour\n",

      "\n",

      "    # Count trips by date\n",

      "    by_date = trips.pivot_table('bike',aggfunc='count',\n",

      "                            index='date',\n",

      "                            columns='station_arrived', )\n",

      "\n",

      "    # add a flag indicating weekend\n",

      "    by_date['weekend'] = (by_date.index.dayofweek >= 5)\n",

      "    \n",

      "    by_date_weekday = by_date[by_date['weekend'] == False]\n",

      "\n",

      "    mavg_wd = pd.rolling_mean(by_date_weekday.sum(axis=1), 20)\n",

      "    mstd_wd = pd.rolling_std(by_date_weekday.sum(axis=1), 20)\n",

      "\n",

      "    black_list = by_date_weekday.sum(axis=1)[by_date_weekday.sum(axis=1) <= mavg_wd-2*mstd_wd].index\n",

      "\n",

      "    by_date_weekend = by_date[by_date['weekend'] == True]\n",

      "\n",

      "    mavg_we = pd.rolling_mean(by_date_weekend.sum(axis=1), 20)\n",

      "    mstd_we = pd.rolling_std(by_date_weekend.sum(axis=1), 20)\n",

      "\n",

      "    black_list = black_list.union(by_date_weekend.sum(axis=1)[by_date_weekend.sum(axis=1) <= mavg_we-2*mstd_we].index)\n",

      "    \n",

      "    # remove those values on the blacklist\n",

      "    by_date = by_date.fillna(0)\n",

      "    by_date = by_date.loc[~by_date.index.isin(black_list)]\n",

      "    \n",

      "    return by_date"

     ],

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     "metadata": {},

     "outputs": [],

     "prompt_number": 7

    },

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     "cell_type": "code",

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     "input": [

      "station_phase_path = r'C:\\Users\\ghost\\Google Drive\\JairCastruitaGastelum\\Progress Reports\\Clustering_ECOBICI\\DATA\\ecobiciFases.csv'\n",

      "\n",

      "station_phase = pd.read_csv(station_phase_path,header=None)\n",

      "station_phase.columns = ['station','phase']"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 8

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Como se ha estado realizando en repetidas ocasiones, es de particular inter\u00e9s realizar este an\u00e1lisis sobre las diferentes fases por las que ha pasado Ecobici a lo largo de todo este periodo, es por eso que este an\u00e1lisis se realizar\u00e1 por fases como se ha estado realizando en los experimentos anteriores.\n",

      "\n",

      "Se carga el archivo que mantiene el registro de actividad en las estaciones y se realiza una transformaci\u00f3n para que quede a modo de conteos. Antes de realizar dicho an\u00e1lisis que de nueva cuenta se realizar\u00e1 la limpieza de los datos, deshaci\u00e9ndose de los d\u00edas con una actividad sospechosamente baja, despu\u00e9s se eliminan las estaciones que no hayan formado parte en el periodo que comprende de la primera fase. Finalmente, recortamos los periodos posteriores a la apertura de la segunda y tercer fase. M\u00e1s adelante se realizar\u00e1 un an\u00e1lisis sobre estos periodos por separado."

     ]

    },

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     "cell_type": "code",

     "collapsed": false,

     "input": [

      "by_date = load_daytrips()\n",

      "by_date.drop([col for col in list(by_date.columns.values) if col >= 91], axis=1, inplace=True)"

     ],

     "language": "python",

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       "stream": "stderr",

       "text": [

        "C:\\Users\\ghost\\AppData\\Local\\Enthought\\Canopy\\App\\appdata\\canopy-1.5.2.2785.win-x86_64\\lib\\site-packages\\IPython\\core\\interactiveshell.py:2827: DtypeWarning: Columns (0,1) have mixed types. Specify dtype option on import or set low_memory=False.\n",

        "  if self.run_code(code):\n",

        "-c:22: FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in a future version, replace with \n",

        "\tSeries.rolling(window=20,center=False).mean()\n"

       ]

      },

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        "-c:23: FutureWarning: pd.rolling_std is deprecated for Series and will be removed in a future version, replace with \n",

        "\tSeries.rolling(window=20,center=False).std()\n",

        "-c:29: FutureWarning: pd.rolling_mean is deprecated for Series and will be removed in a future version, replace with \n",

        "\tSeries.rolling(window=20,center=False).mean()\n"

       ]

      },

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       "stream": "stderr",

       "text": [

        "-c:30: FutureWarning: pd.rolling_std is deprecated for Series and will be removed in a future version, replace with \n",

        "\tSeries.rolling(window=20,center=False).std()\n"

       ]

      }

     ],

     "prompt_number": 9

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "phase_1 = by_date['2010-02-20':'2012-10-29']\n",

      "dr = get_dr(phase_1)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 10

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "a1 = dr.apply(frequencyRank, axis=0).fillna(0)\n",

      "a1.index = phase_1.columns\n",

      "plot_freqHeatmap(a1)"

     ],

     "language": "python",

     "metadata": {},

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o1FEph4daEmsSZlehWn8ANOSOh36qNgY8pJWH4xBMwhV5WKHmZ1YupLH0iwY1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1bho48+wpVXXomNGzfitttuw2effYapU6fiuuuuw4ABA5CaGtnwVxAEQRCE2NOVGC8IgiAIOlFp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\nXVKgppak/TXKvylQ7yV5tkSl6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k4NB1XoXFMdDesLedQcxsPoq/bRUNC6cjXH+piVBLaP\nsNnp+//GxkMk/e7hLZHjaUOuInk7y06puobpXHyi5hRJ/+r6WyLHqSl0PvnFP9eQNLbemFCQT/K2\nnFChltf0o2GzOEQTAKCkQkkCfAFav2F9le1EiouO174quj7pP1Ltrm+2RZcgdBmRR9LWRBpKmJCq\nQhvTB/Yged3GqmdtS6X1+fbVw0ka24jNHU9tQxxZatNGvnYJ1FB7jQTkGsDtIEI+Gm6KQyRvyKCh\nn3rcxMrBtGbO4mCpyjgdKwvOF7Oub/G5OIS8dxssO7rqL88JqX1UGLQthUYg6tmGpPaLXiYfY3go\nqt5zCNSoPhtrLcfXfjRTZ46XuVmDoV8qa2pqIDk5GTZv3hzRVL777ruwdu1aeOaZZ8Dlcmm+tAmC\nIAgdhwzBgiAIgnBxEY9zc4drKrdu3Qp//vOf4fTp0+B0OmHy5MmQmZkZuzBBEASh3YnHHeYEQRAE\n4VImHudmQ30qv9ZUfu1T6fF4YOnSpbBo0SK47bbbYODAgbB8+XIjqyAIgiDoYDKZ2vxPEARBEIT2\nIx7n5g7XVE6ZMgWys7Nh3bp1EAqFwOHQj/fW285XL07bKFpuRHARcr6x4a3ReOlcg28lr7GoYPpH\nApJYcDsWbsGi99cdfi6Opbew/oTj+bklBafF+j5uJcPbhFjd0L6PNUsa+xONfhbZaTTRbcLxfXHt\nitaGphmdS+sedKtt363MHoaXE/IqHYk1meo/ebnhgKqvRlOhZ4OjUweuqdCzebEmU11Q2Kfqji1f\nAACsTqSJMUW3LQJg4xW3VcDPmuuSdeyHBOFCwedmnLY6W67NTunTp13qM/ohmv5NCz8XS7elx9Zf\n3ko/i95xbrU1G82NfLHHLaHwPGpLTY96/aYGql3l+kI8Rjbr7DmBtY4AAIGaepLOvqw/qhodLx1Z\n6l742Oktp7YcZmv0ebJm77HIcYjpSF2jB5J07Z6DkeOqQ2dIni2RPj9HcvR1otWp1hzWRLr+8FRS\nqytst5HWg2oz64qVfu/oLnrPfYZ3ovVJVc+obD89d/dele7M9LJbD1FrmZ2nT0SOp/QbRPLe2Ptl\n5Hh8dx3RIgD868CnkeMfjp5M8jJQ2/3ji20k73QDbfeRXdQz+rKMWrcsuuk2kn59+77I8fWDaP0y\n0tQ1PcweZsJ3+pN0bbGyQDuKrG0AAIZP6hk55lY7TW76bqYPUhpnPUsRzV4f8gdVDYZrKmtra6Gg\noAA8Hg8sW7YMxo4dCw8++CA0NjZCWVkZvPfee0ZWQRAEQdBD5kVBEARBuLiIw7nZ0D+BezwesFqt\nUFhYCIWFhRAOh+Gpp56CCRMmgMlkgssvvxx27NhhZBUEQRAEQRAEQRAEAzH0S+XXm/PMnTsX7rrr\nLrDb7XDDDTfA5s2bYcWKFeB2uyElJcXIKgiCIAg6xKNuQxAEQRAuZeJxbjY0/DU19SuvmjNnzoDf\n74fm5mZ48sknweVywbXXXgsWiwU2bdoEY8eObZfrNTONFcnT8ZPjerlmpLtrDlN9U7DRTdImHf2F\nnoaB68gILKZb41OZoJSd/J6xdgxr3gAAbClUy4bbhOtIsOaM+1vyNiFVZ5oOohFkHZxrM0JeVV+z\nneobsM7OwvQ6RGsIAGar+mwsLSTWq+npLbmujcfd4zrg6/+noKiX13pj6miIUbnmBPrqauqO7tua\nRP9wg6/J3wuLjmiY91l7mtL66L1fALR/xdIwES0k08fq+U3peU21ytOS64JboQ8TBAE07xAfn0ie\nn85vQaS/DjZQXZu/ugGdR8f9veuLWBVUHTKy6MC2/vPiyHGtl14/H/klAgD06KI890JsH4Dfvkvl\nO1f2GBw5trLxssqtdIufFNMIrf+6+iaS3leq9GEFLlqffvlqt/yMHKoj97np2Lprn9Lo3XA71SVW\nn1R6TGcq1R2aLXTc3frc5sjxyDFdSN7nnymf0RtnjyB5Zw9TzaBroPKXrDpINXnBgBq/07tTHWnd\ngeMkHWhUfcTmpPNH1kDquXn4faW/7HNtX5Lnr1a+nvZ0uj6qYnXP6q+0kRYHneNdw/Mjx3kTaRt4\ny8pJuv6EerZDZ19N8vojP86gm/bLy22jSdpTrvSEaf3zSd4Pmr6NymF+m2wdtrD7/apuh46SvPQh\nSqv57SNXkjyLk3mZ5ij/VL7fCfaMBAC4Pqw8N/U0w3xtwD1Is8eo/N7Ton9Wb50MwNaprVkrCBoM\ntxTp3bs31NXVgclkgsbGRnjnnXcgMzMT3nzzTVi6dCmcPXvWyCoIgiAIOsgvjYIgCIJwcRGPc7Oh\nXyq/thTZvHkznDhxAr73ve/BggUL4Pbbb4dXX30VzGYzmM2ys6EgCMIFQ4ZgQRAEQbi4iMO5uUMt\nRebPnw/du3eHefPmQX5+PlRXV8O8efOMrIIgCIKgQzz+NVQQBEEQLmXicW42NXNhWzvy6KOPQllZ\nGTz//PNw6tQpuPfee6FXr17w8MMPg91uh/nz50NhYaFuGc/PeJKkLUinYLfSr/GjxneNHGf1zSF5\nPF7elqZ0ElijCED9pazJqSSP68qw/pLr7szM04bEsrNmxx6O3IdR4wuJP9sRnS5WF4nDji9cxKD+\nxr1NMZeU9qEV77Q9NUs3v7Ucffm1NpfRe8ZtsU8SLin43Lxi6/rIsa+J+i7+v8tviBxPuKI7yauv\notqxnAKlsUrLd5G8OqRH6zSG+ttZk6l23FNaFjl2MJ2kBXnack/NoLuRpIneis3pZqbNwvsf8HWF\nnocl16AR30ruaYvGPe5vqVmEIh9ifp9617AkUK2mHljn1prP6ZbJ7ov7bxpBrGtyPR8GP5ML4Z/e\nETTV15J0yE81zXj/A0cWfW/1aItPLP6s3udiaSr1wJ+N9TmZmztAU1lRUQGzZs2CYDAIpaWlEAqF\n4OabbwaHwwFerxfuueceWL58uZHVEARBEARBEARBEAyiwzWVP/nJT8DtdsPkyZNh/vz58oVSEATh\nAhKPITaCIAiCcCkTj3Nzh2sq9+3bBydOnIB///vfUFJSAh6PBxITo4dM/PC5HxtZxXOTlBz7nP9g\nsp9nCB7rLCZTK8rp6I7WXtfjYbStKLfdtnzWCeXl295TWxV2TZ26a2xCdGxLeMgG/iwPkdKzG+HW\nG8QuhoVshZto2Ar5HA/LbqFNh2bwM3EbGmRjwtuZhZSHfOq++fXxvWhtVMLsXFU/fl9NtXUQDUsi\nDVvzlqsdqh1ZaSQvUEMtDzAhPw3rsaep8DOLM3qIVHMTvS97ZiZNt3OIDcTfvCVcBPC5+Ydg/Fyd\nPqTl56b27Rv7pHNgbcX8z9ELfcThlXy85GM9Ri+klF+PlxPWsVkjdWO2Kny+w+Mwr0+gWllb2LNi\n7CyCwmw15SDbCZOFXp9bXdgzVKizNYmG9Vp11pOBWhrCic/1lJwmeckFPaJ+tvyzgyQva5CyMeH2\nWvYMKqHyV6lykrpRe5bqnYcix2Y7nbeb3PTZntqtLFmyutA+m5oX3aYjqQeVhnlK1fxWc4y6MTjT\n1Vy4+QNq69LgoeuI/r3UPHX0BG1nvuxKTlRrmdRkas+ydN3HkeMAs4R76NpJJP3fb74aOb6+D7Um\nfO/IlsjxxIJRJG93ObUf+uO9KkQ0q3c2ycNrqwQXnf95WL3MzQbvLVRTUwO1tbVQUFAAeXl58Je/\n/AV69eoFoVAIEhISwOl0wpIlS4ysgiAIgiAIgiAIgmAghv5S6fF4wGq1QmFhIXg8Hrjuuutgx44d\nMHPmTJg6dSq89tprsHLlSiOrIAiCIOjAf+UWBEEQBOHCEo9zs6FfKoPBIPh8Ppg7dy7U1NSAzWaD\ndevWQXZ2NhQWFoLX64Vx48YZWQVBEARBjzjUbQiCIAjCJU0czs2GfqlMTf0qlvzMmTPg938VDx4O\nh2HDhg2Qm5sLbrcbrNx2o4MgGj1u4YEIcV0b1xqgmG+NO0uI6cGQ/iHoib49NdaCfVVXqhVrDkXX\nueFz+VbNtmQadx90u6OWEwqoeHl+z+EAjaXH9ixhX3RtCLC/ulgcVA+C24/r7rBGz5LAtl9n17Q6\n1VbgvO30MNtpbH84iHWJdn46PdevNCn8mnhrea4R1KudRkOJt31nfZY/I5ytseVAmVzTqbe9t957\nwuHXxOU025jmlNUdvydG2YY4MpFuIobW15lLdS+YpG7tWStBuETRs6Vi71vQq+YlbtmB5whfxRmS\nZ2Hjt+d0JUSjrkhpx9J7UY3ZkY+ofi/dpcZvWyIdL8uOVJP0qVKlsU5LofPUtsNKs9fI1hUzrqdi\n0T/+85PI8elGqnNzB9TaoVMy1X+drC0l6cvyBkWOvyjdBy3lZ9feTNI7Tqi6f3BsG8nrnq70hPdd\neznJe+3z/SQ97XJVn+OnqK7dblNjfRrT2Q0a1ZmkA+6TkeOMfKprS+pCNehfrNkZOa44S9ddk6YN\njhx7q+h6yFdF9fJmXL98qp0L1KtyzWyPAFs3uu7COk5uy+HMVfeS1INa79TuoTrOodPHqDKTqa5U\nz76O70XgGqe0o6l96DuDrUFco6lGOSEnF6IxnmuE+doBrQ+4LnjKY9+PHHN7H653vumJmZFjvnZ5\nHK852mAp0uEWfnGOoZrK9PR06N27N9hsNkhISACTyQShUAiys7OhubkZampq4I033jCyCoIgCIIg\nCIIgCIKBdLilyOTJk+G6666DiRMnwre+9S247rrrjKyCIAiCoIP88VUQBEEQLi7icW7uUEuRhx9+\nGCZOnAgLFiyA3/3ud5CZmQk//elPjayCIAiCoEM8emEJgiAIwqVMPM7Nhn6prKmpgeTkZNi8eTOc\nOnUK7rvvPpgxYwY8/fTT8IMf/ADeeOONC9ZoRB9m4h5/SvPFNWdaVL5ZxyuQ0xovLKzXAwCwOJOi\nnEl9qmwp1B+J6/ls6Rk4k9YPxZGHfT6SZ8mmOg78WVMK9fEJIX2MJo6dtxeK9TczrymcF/LTeH2L\ng+ovsKZR8wz0tH5ce4D0DiGmgcU6SQ6P7TeZcV9jnoze+qjlcK8ucg3u9cj6sDkB6UpZfXCbcI9I\njcbSr65jskbXN8UCa1KbmfcULwfrqEIBqnMxO6LrU/mzJXpMHT0obwPuGdteHqm4X2jGFT3dRiva\n+byIwx3mhDijFfM8fv+53grrLR18HmJjvTNXpfl4neBSurtgIx1j+t8wgKSxXi3M5p7GKjo3T762\nd+TYnkrn6c4fKE1ctzFUjB2oo+Us+dV3Isf+Ojr/4vFy7zbqrTj+Flp37DuY2ftWkrfxlb2R49xO\ntK7ZeSkkbbepMfJH00aSvOIjyqfy8wNU0/mtkf3ouaVqvqtqpHNqPdob4Zar6ee89bTdD+xT2r/C\nv75L8n5xO/UyxHx4gOplu32m7jMti/aR5X/bQtLZyWpN4kql65MundR6buPuUyRv/IA8ku41SPXb\nw7srSF4Nus/8bnT91qU31Yp++k/1/EZcRfWX/ka1dgm4qW4zpRNde6b0UPVpPFVF8pq8eyLHSS7a\nJ3a//DlJ979xYOTYW15D8sJBOjfbUtT6xJlL7wu//xa2DuRrK7w2xmsDfq7GD5xpLPHeKVbmn0rm\nf76GlblZg+GaSqvVCrNmzYKf/exn4Pf7YceOHTB9+nRwu92wcOFCIy8vCIIgxMBkMrX5nyAIgiAI\n7Uc8zs2Gfqn8WlO5evVqePrpp8HtdsPKlSshOzsbnn32WfD7/bBhwwYjqyAIgiAIgiAIgiAYSIdq\nKufPnw979+6FsrIy6Nq1a9stRXR+euaWBhpbDG5Z0dJL8tC98ywHdEIbuRUJDzsk2yyz+7Q4VQhA\nmP3EH2bbV5NtnVl4QFOjuobG+qOJlkOsQJi9B7ZH4aELvO4kbFWnXXl9NCGlfhUuZEumIRvcyiXo\nVedyKxd6DRaqy7eoRiGuvH74+YW8NMyJh3fRTHpN3IdNzJaD9xnyOfZscakaKxIeRuvUt1KJBg87\nxia+Jgu7Z/Yem3TC32iYqE4IKUC7qdzby9ZEN5Rer67yS6AQD+B5gNsY4dNC0SUIAAAhnxojA7U1\nUc/l1k3+s9TeowZZeNiT6DjiQ+GmOFQQACApi4a/OVLVnOqrpfNHemc6v3z8j92RY2cCnbf7j1QW\nDO7T1E7j0Bc0jPVEmcrv35OGB67eqMIeJw4sIHlVR6glxPatZSrxOQ1N7YbqvuMADcPsUkFDgt/e\ndUiVeZzW1YmeydXDaBhmchpt9037lRXI/7uH2o/8c/WuyPFL6/aQvGFdqX2FBUkWXElUclNaSq1A\nUlPUHHbbmEEkr9tAZZmx5aMTJG/qaNq2CchOxplM+2xOP2VLk9OFhpdyWRSm71BqZxMMqHk8rSu9\nL4uN9qdJ94yPHJtYHg4h5etADn6nnLkukofXjM4uNIw3azS1wcHrwuT8HiSPr/1aI//SI7Y87dzw\nMFarM/r3EF37EZmbNRj6SyXWVL766quwatUqmDVrFvh8Ppg+fTpUV1fDmDFjYhckCIIgGIOpHf4J\ngiAIgtB+xOHcbOgvlenp6VBRUQGzZs2CYDAIPp8PHnroIejcuTMkJSVBMBiEJ554AhYvXmxkNQRB\nEIQoiCZSEARBEC4u4nFu7lBNpcfjgfLycnjwwQfhpZdegtzcXNi9e3fsggRBEARBEARBEISLElNz\na3wBWskf/vAH2LJlCxw/fjyiqfzzn/8M+fn54HA4oLGxETIzM2HFihVRywjUV0XN43HaWO9ostBY\n62AjtW7AOrdwgGkEkR6M52l0d0hvxW0nmpnOzYy0dnxrchwTH2ykujt7Bt1auqXwv3KEmN6RbJXO\n2lKjW0RwLQuOOdfYM6B2bs1fXfjzaw24Dhr9DrfFwLYUevXT0f1p8vUsIWK0AdZqarR8ragf1gxr\nnkk7aQRbc1+GYJCG8mLHnprVruWdeuvtNpfR7Vs3tkNNhHhCMzej9zHoY3Mh3t7fTnXaNXsOkTSe\nJ+pPUZ2kr0HNx/Vn6TX4+9+A7BnKmEbwjd1Kv9cri+r1tpYcJOlZI6+IHD+3mdpXjO1KdWX1yOIg\nl9lr7Th9LHI8sWAwyVu77xOS/t7QqyPHa3Z/TPIWTL0lcmxhY7s/QNccx5G1w8i+9D679UqPHFsd\ndD5zpieQtLdW7T2Q5KL2I/YUZPPE5lt7BtXO2VJV2l1cTvJS+yodHt7TAQDAwvoMftZN9fTclN69\nSTpQo/qpPYOOnU31tZFjs4PeM9/zwVt+RpWTnk7yrMj6gltd8f0hvOVKv2pLo2s7W6pKW3h9GCH0\njlmYDUZTg9Lk2lg/bA3Yoo5/VdCrH77+ueqnp4XUtd5qJzR7YujpJluBzM0Gh7/u2LEDioqKoH//\n/lBfXw+//vWvoW/fvuD1esFut0MT37hFEARB6Fi+IV/GBUEQBCFuiMO52dAvlcOHD4drr70W5syZ\nA//zP/8DtbW1kJKSAoFAAGw2GzgcDvD5fLELEgRBEAwhHnUbgiAIgnApE49zs6GaylGjRsGmTZtg\nz549sH//fkhISICDBw/Ciy++CP/3f/8H2dnZYDPo521BEARBEARBEATBeAz9pfKaa66BL774An70\nox9BVlYWLFq0CObNmwdz5swBh8MB2dnZkJqqrxfkWj/sW4X9rACoN4/G449947eiL7NcPxhCOkpb\nKvWh0vj6IU2DPT2D5HFPS+ynyL0esR9fODuGrxC6Tx6/r4c9k36Bx5/FsfNfVVXdJ/cUwj6QAFSn\nGGb31dJ7BmB+Sqzt9DSWJvas8b3w58XbC9eXax+I7pb1Q40uEdXBbKX6D3JN7s2pJ2lmXo+kT+v4\nUnK4zym+Jn8veBtYnEoLEeJ9BH2WPx9Nv9TxrdND89xxOcyflGtHub6HnIvaUuOpqaNB5ffVbvpU\nQYgz+JjoOaU8CAP1bnayesfMzFPPW0F9BZO7KV/G1O7UoxFOKo1lVi+qX9Lud6De8SsLupKsqQeG\nRo4tCXSMqTlObc46jcyPHN9cPoLk1ZfWknRqV6W1C3rofBf0K22m2Ubr+v+6XE/SngqlSRvwAb3P\nXv1Uuv+MSSSv6su9JD01W+npqg+UkDysozy0hXpYDp3Sh6RPH1K6RG89nQe6jc2PHGt1d3QuLF6n\nNmbkfqAJNaotK3cWk7xTB6l+Nx/5O2567xjJ69ubtgEe67uP6ELygn7Vh8NBOl+U7qeenwnIy9Dn\noX0/K0+tE4sO0Lrm9aBrXK9bfTangK4Z3VVKJ+lMpZrFkkNnSXrY7aovntx4mOSl5qo1W3IefYeC\nHvr8QjptgJ+nv46u+1zDqRelv0a9x44Mum62Z1ANqq9C3QsfD6wp6rN8TxO+Hsd6UayPBQCwOJX2\nl68R20tDKWgx9JfKtWvXwvbt26GpqQnS0tJg7ty54HA4YO3atTBs2DBwuVyQlnb+ImJBEAShjcSh\nF5YgCIIgXNLE4dxs6Nf1W2+9FdLS0mDz5s0QCoXg9ttvh/feew9xLlkOAAAgAElEQVSmTZsGdXV1\nkJOTAzNnzjSyCoIgCIIO/K+4giAIgiBcWOJxbjb0l0oAgKKiIrBYLHD06FGYNm0a3H333RAMBiEQ\nCEAoFIKpU6caXQVBEARBEARBEATBIAz1qfyaBx54AO68804YM0ZpFZ555hlwuVwwffp03c/qeWFx\n/R6+Fa7f496K2EMyHIyuT9PEYpu5jgtpI7g+jWu6kB6Mx4pbnNjriflbJjA/IFx3pmvBvj4hjccm\n/WEa3wvvBlgvx9tOqy9U5XD9HtHsWaiOJOxn9cP6C6ZzwzpO7l2k2SELXaeZ+28mOEma6jiZvxRq\nE+7JFA5F172aWbx+WM97kmsNkU5Qo3fEWsgYWj49zSA5L4YOEfeZZlZXojU0yPdJw4XwxrzQfpyM\n9vbCKn3//TaXkTdlSjvURIgn+NyM9cZcd4+12tzP2XuGluOtVJ7S3mp6bgj5MNoS6TwQauLzlDqX\neyueOaK0mbXVdG+G46eox9411xWoc89QrWh6DtUFni1RurKaGtoGqalqfjtTQe+rcy6tXxiN2dWs\nnM5dlK7M76XzW1k5rd8u5AV59RCqgcP1caZQ7WPJCdoGOUijV19L6/OvLUrPd9NlVIvpsNN5KhFd\nZ+eeMyRv6ncHqmuUUV/xBtYGbqRL7DOqMz2XeZIGUT/IzqcaxtoSdZ8ZLK/xDPW/xN6dFjud33Da\nmkjb0uGiekKMr6KGpLG+0Nk5h55bTjWeiV2V7yhfw9qRrMx7hvqBJnWj/QDD99bAxPKpxF7w1uTz\n81YHaJ1PpZ5X54VA5maDw1/Xrl0La9asgQMHDkBFRQUcPHgQCgsL4de//jWcPn0anE4nTJ48GTIz\nM2MXJgiCILQ78bhtuSAIgiBcysTj3NzhmsrHH38cFi1aBOvWrYPi4mJYvnw5/OIXvzCyGoIgCIIg\nCIIgCIJBGL6v7teaykOHDsGiRYtg4sSJkJ2dDevWrYNQKAQOZucRE/TNnVtSELhdBbNKoKGo9Cd/\nEt7JbAv4uTg3UEO3NLYm05AWHEYabKThLzh8gYckNjXSMAwcwsnDO0NeFSbCt18OemkICb4OD40N\noXL5X0u4BQsJj+XR1Dphmjjk9z8FoUx6TVsyvRcMD8cl29fbmb0Hqx+2/2g2s7BjnbprrGX0bCew\n9YamzJZbUuDHwMOyeYgrTutZZAS9NFTIovPe8D6Cn7Um3LWZ1yfU4nNpZU3R0/xzRv1Vz4hyO6ru\nLSEONwMQLj6IDRUPRUP9m1tU8XkgIUfNjY7SCpLnOaNC7CzMlqPsILVcsFrVuPfO+0dJXm6GmpvL\na+gYuOrLD0na6fhW5NhmpWPpcytfI+nL8vqpujL5yc5yFSa67L4ZJG/T5lMkHUZzakYyDTOsPqDm\n8QxmOzFgUDZJl1ertUNDI61Plks9o4CPzlmjru9N0jXFKkzT4aTj98MPTIwc25w0XLGUhbhiK46x\nY/JIXhCF8na5jIZouk/TMNHUnp0ix/5qaknD50Y7aj9fLV13OdNUniON9lluUePMUSGlQTddS9kz\noq9Pgg30mngNktSdWpzYkMVe0RufkLzO42loccMx1WdS++aTPBx+npDTieThMFUAur505tL6NDWg\nMOgYSjm8Hiefg3OEpqK1Hl/H45BXPXnXOcttBzpMytMSOmBubm5uhsWLF8OhQ4fAbrfD448/Dt26\ndYvkv/XWW7By5UqwWq3Qt29fWLx4sW55hluKbNiwAV5//XWoqqqCYcOGwalTp2DGjBnw/vvvw8aN\nG2H27NlGVkEQBEEQBEEQBEFAfPDBBxAIBGD16tUwf/58WLJkSSTP7/fD0qVL4e9//zu8/PLL0NDQ\nAOvXr9ctz9AvlbfeeissW7YMXC4XjB07FhYuXAgrVqyACRMmgMlkgssvvxx27NhhZBUEQRAEHUwm\nU5v/CYIgCILQfnTE3Lx9+3a48sorAQBg2LBhsHfv3kie3W6H1atXg/0/EX/BYDBmdKnhliLbtm2D\nPn36RCxFJk+eDJs3b4YVK1aA2+2GlJToYQOCIAiCwXSQwfLy5cvhjjvugNtvvx1ef/11OHnyJMyY\nMQNmzZoFjz32WPvekyAIgiDEMx0wNzc2NpLvYVarNRJ+bzKZIhuprlq1CrxeL0yYMEG3vA7RVB49\nehQWLlwI4XAYnnjiCXC5XHDttdeCxWKBTZs2wdixY9vnYthShOnauB4M2yNYWJ4Z2SrwGG6+VTrO\n59soN4eY1g9hT6fbTGOLEW57we8Fn9vM4v6JNQnTkVocVF9owvfG7DSwPiaWAWsIW4NwPSFqW40W\nk5WD9aE8lh7fC9fghHz0mehhSeDbYCs9jYk9a6tTncu37NbTNJpZO+O6m7i2l0E0n1z/ifShzcwF\nx2Shdad9j+eh/m1lddWxHwn56db7/Jo0L/rfq7SaU6ZbRnZAZhut3/nCdRJY4xXLnsUQLqJf9zri\nl8atW7fCjh07YPXq1eDxeODFF1+E9957D+bNmweXXXYZ/Pd//zd88MEHcN111xleF6ED4HZI6J3n\ntkUWJ917AI/DacgaAQAgqbsarx1s1/jUXsUk7chW2/v3u5Xq2tzIaoOP7TMs40i67qTS8+UM60by\nrvhWX5Le+VFR5NjGNJ8/v0xpDxvP0vqMHEjtI9Ky1BxXWsw0cMgiIyFBfwn31gEVCZaeQP+A36dI\nWVJMGp5P8tyVdB+HzZ8q/d5Hh4+QvAOVSq/62Le/S/LWbNlN0uWNyj6mylNN8h686qbI8fL/eYHk\njckbQNLfv26Iqs+WEySvX1dq61B6Vt3L2BFUM4jtUTKZXczJYqoLxHraqlo6F159g9I7Bv10rsns\nzyxPipX2N+Rjtmo2pSHOvawnyWuqpc8EU/LhlyTtGqE+29xE62PPotYpGH8VtS3Ba46a3fS5Zwyl\nGk9ut9dSfGdO02siqxKuv46lsWwPLqiGktERc3NycjK43arvh8NhMDO7wd/+9rdQXFwMzzzzTMzy\nDNdUfvDBB3Dy5En4/e9/DyNGjIAPP/wQ3nrrLfjNb34DWVlZcPbs2dgFCYIgCHHLJ598An379oW5\nc+fCfffdB5MmTYL9+/fDZZddBgAAV111FWzevPkC11IQBEEQvjmMHDkSPv74YwAA2LlzJ/TtS/9Q\n9uijj0JTUxMsW7YsEgarR4dbijz88MMwbdo0ePXVV8FsNpNvxIIgCMKlR01NDZSVlcHzzz8Pp06d\ngvvuu4/scJmUlAQNDQ06JQiCIAiC0J5MnjwZPv30U7jjjjsAAGDJkiXw1ltvgdfrhUGDBsFrr70G\no0aNgjvvvBNMJhPMnj1bN6Kowy1FcnNzYd68eZCfnw/V1dUwb948o6sgCIIgRKMDti1PT0+HXr16\ngdVqhZ49e4LD4YAzZ5TdgNvthtTUVJ0SBEEQBOEbRAfMzSaTSbOnQc+eKnx6//79rSrP8C+Vd911\nFzzwwAPwwAMPQDgchtWrV0NhYSHY7XaYP38+ZGdnxy4kCnraLK4NCwWohsGM4qZ5OUGPOpfrP85R\nCfW5RhqTz30qg25VrsVJtX3+SqXbsCbRPJONaT5R3UN+6ptpQWmuYeSemyFWX3Iq0sQ1h2hb8nKx\n9tDEtat6GkKm48TaGpONag1wbDn3mrQzTU44iDR5Vv2f63H8PvdoxP3CzPoTj+XHsf4aPaEd+Tky\n/Z6mD6N87q1Kn0k4at5X2KLmtUZDSNrAyrS+qO+3SpcYw6NR13/2PGmVN6ZR4Gt+wzSVo0aNglWr\nVsGcOXPgzJkz4PV6Ydy4cbB161YYM2YMbNy4EcaNGxe7ICEu4NonOnbRPF8l03GhsTXkodq1yl1K\nNxn007HT20DnwrKTSot4rJTq47JT1Vj2183UD3BSr8Ek/cqejZHj/q5eJO9g5TGSTktQGtA6H71m\n+ttqH4WfTZ1M8sxs8fivT5V+7UQNbZ+pA5W+0Bugc0SXfKpB/cmVV0WOh46hesKyo2rN4fbQZ9J4\nlrb7zT8ercrZTPWfzqRrIschtlb4/Xem02vuLoscdx9HNYMhv6rDdbdRDaVr9ECSDtSptu06lPow\n5owfRtKNx1WfsWfS9sH91M70u73PVpG0HWl4vaep/2ZCjtJx+iro5xI60TUuXr8k5NC8BBdtWwzf\nzyNQpa7DfSrxfVmZx7fFQdeX2HudX8OWotok54rRcL5ovMQR9kzaBmT9FkMzqVeu3mf5HgtkTwwD\ndJrnSzzurG7ol8q1a9fCmjVr4MCBA1BRUQH79++H3NxcuPnmm8HhcIDX64V77rkHli9fbmQ1BEEQ\nhAvINddcA1988QXcfvvtEbPlvLw8WLhwITQ1NUGvXr1g6tSpF7qagiAIgiCcJx2uqQT4KtRp8uTJ\nMH/+fPlCKQiCcCHpoL+GPvzww5r/t2rVqg65tiAIgiDEFXH4S6Xhu+R8ran82qdy3759sGHDBviv\n//ovKC4uBo/HE7sQQRAEwRA6wmBZEARBEISWE49zs6mZC9QM4IEHHoDZs2fD6NGjYe3atdCvXz8Y\nOHAgPPfcc1BXVwePPPJI1M8G6qui5l0MYM2ZRi8X4po49MOwTrPraekAaAy8ro9frA7Vwkev8S5s\n5no+S4vPpR9kGk+f+gMD12Zi/aVGc8fKITpFdn2u8cTdX3NNHXg5+OW1JFKNJ9YpNHOtEdv9GGtk\nbanUyxRrkXS1qqwcS2IiLUdHh8D7Hj6X+3hi79dY/lG4X/D+HPJS/Y6V1TcaQTfVBPOhzJqENLrs\nXcDtY2bbZGsGYtS/NH0E9y/WD7k3bov9r2JoTu2p1IetrVR8ujH2STHIufyq2CcJlxQdMTdr/GUR\nsd6npvrayDEfS32Vyg+Q69iCbuYHiPSOTXVUJ8nHuYotByLH2SN7kzyic4sxxpF9HZiPJh6vsGc1\nAECghu6gbEtVY2DQwzR5tWr8DDFvxQQX1eF9/NLOyHFuJzq/NTaq+xo6ieoknbnUE7H2sPIk9NXR\n+hzco7SjyUm0XblWNBxU425dFZ0/amupttbhUOuT8T++kuSd+nBP5LjkeC3Ja3TTOW3rkdLI8UMP\nX0vyfNXqeR3cVkbyevShbfD2e0ovO2US1egWHVbenRYLHfePnKoh6b9t/zByfPfYKSRvWH9X5Hjd\n1hMk76araL9016s+lJhC58K3NykP0hsup3Xl01RCknof//bmTpKXxdZE147NV3ldqBfl8f3KZrBb\nL9p2KZ3oufYktRa0pdI9H/A8jt8DAAB7Bh0PyPigN//K3ByTDtVUHjx4EN5880148sknoaGhATwe\nDzj4ZjKCIAiCIAiCIAhC3NDhmsrp06fDD3/4Q7jnnnvgN7/5DVRUVMQuSBAEQTCGDti2XBAEQRCE\nVhCHc7Ph4a8rVqyAyspK2L9/P6xcuRImTpwIZrMZ6uvrIT09HQoLCyETbdXMaVWIjd6tsJ+pdcNW\nSfgkLZOH3LS4nFg0R7ed0IQkYpsHbm2BQmNNFv2tkXEYYsjD7EVQSGssWw6+RTy9hqpDrPagdho0\nrIdYwPDnrBdiy+Cf1Y05N+lIjnWuqWdDw0N3NW2CytWE2KJwSs01WH2CXhVaxPuIJUHVIVY54SDu\n3+wdCkV/nmEesmVFfZq1q8Z+AF+HPR9iLRPmYdjs3UShczzP7EAhZP5A1Dx+TU2obhIKx4kR/qqL\nXj/kFjpp52/DdC4qP/8k9kkxcI27oh1qIsQTrZmb9cZ+Pt8FvWou4jZPITS/8fHRmsgtvFQYq8UZ\nPS/W/IHnDIuThtj5yqm1REORSmcO70Pyzny2T+UN7k7y+Bhkz1DhnttWbCJ5eX3VeimjNw3dNVlp\nW57aXBQ5dqbStswZruqAw1IBAByp1HYiIVt5yB796DDJ69RHhfzxYSzIwmqbvCodbqJ9oqZChZB2\n7kPXhAFmeZKYpcKH/SyMFlgdQk3q+VYU0/DlxGQ11ve8moaF1hwuJ2ncD0oO0r7fa0xe5PjULvq5\nDBYu/OIr2yPH43p3JXnY9sXHLHK8jbQNPtl+KnI8uMBF8oIoPLiyhs5ZAdbuPbpE9wfed1yFotb7\naH3yMmiIdE6meiZlZ2kI+ZC+tH6Hjqkw34F9acho18GqT58+RNu5+0hqi2NLUe/j0fVHSd6Abw+J\nHFsS6Xtrz6D9C49BfJ1DxifewWVu1mDoRj1r166FDRs2wOuvvw5VVVUwdOhQOH36NNjtdujfvz/U\n1NTA7NmzjayCIAiCoIfJ1PZ/giAIgiC0H3E4Nxv6pfLWW2+FZcuWgcvlgrFjx8Kjjz4K2dnZsHr1\nanj22WfB5XKBy+WKXZAgCIJgCCazqc3/BEEQBEFoP+JxbjZUUwkAsG3bNujTpw8cPXoUFi1aBJ98\n8gl8/PHHsHv3bhg4cCDk5uYaXQVBEARBEARBEATBIAz/UllUVARHjx6FhQsXAgDAI488Ao888gjs\n3r0bxo4dC4sXL26/i7Xip16u44iWx7UgPE10gHraMKC2ChotJPpsyEf1jdyCARNspFuI4zZoZjHw\nepo4roGzIF1ZoIFeA1uIAOjbRWBdGdejhZuo3sKWqmL0uTVJKKT0FtwCIsTuk16f1lVTd5LHLSDQ\neVzHya1TdP4iRLbFb46ugQWgukmNTQeuO4/7N9G629PVVtxcn6rX94GVY0tU9eV1JR+Lod9tL/T0\nllwfivtes45uysr0VnpYEqgVAH5GmvdL55omboOD9Z96z0cQ4pDW9Gmso+RjstWp0lh7CQAQ8lFt\nHdZR+qsqSR4uN1BNrRqSCwpI2lNaEjmu3HaQ5Jmt9D3216s67F5F9VAN9Wj83EF1d04nvc+9h5WW\n7fOiYpJ3h39o5HhzIbVuGNCVarqWbng/cnzLoLEkr+dWZX3xh4/eJXl2Np7fM+GayHFxJdUlHntz\nW+R42vjBJO+d7UdIurxRfbYgk0ap9c1Vda+ppmuFnFxmJYHmpfLj9PlZbbSvORKjL3PLy9TaJq+e\neqZv/Zi2++BhnSLHn+0pJXld+ytdYFIa1a4m51Lt4SOP3hg5rjlK+2UKOjchjepaM1lfu3fa6Mhx\n+ZZDJC8hTWkI7cxqI6ETteloqlfvkTWJnjserXuCjXw/AVo/rFvk69umunqSHu1Sz1pjj4bmxrwp\ntK561mWjh9K+56tQ75glgdZVs44nawm2p0mTWj/pWvgJANABmsoPPvgATp48Cb///e9h2LBhUFlZ\nCeXl5ZCVlQUulwtSUlJiFyQIgiAYQxzqNgRBEAThkiYO5+YOtxT529/+BtnZ2bBo0SJYsWIFbNiw\nAa655hojqyEIgiBEQXcHZEEQBEEQOpx4nJsN/aUS4KvwV4vFAkePHoVp06aBw+GAsrIy6Nq1K7jd\nbrC2Ztt9QRAEQRAEQRAE4aLCcJ9KAIAHHngAZs+eDaNHj4b9+/fDD3/4Q8jKyoKUlBRYtWoV2O3R\n45Rb5VPZGtBtc+0T0TvF+ksBKof7SfK48mif45+N5W/XUm/MWH6XWP/INV74vjVx7Kx+xDuMxapj\nfQz3NeT6Rlw/zV9oUP00vpis7uS+ua6N3yfKD4dY+2B9Kn9NdDwaNf6JZnOL8vh1eP/BmkH+TLD3\nJABA0K10Evwaet6Tmj6L20Djlxo+53lfJWm6qRF5xjloXXk/wHqnZvZMyHnsvvR0ytwflPiBhnkf\nYW3CP0vqgPTXrF9ynSlua64Vaw321KzYJ7WCqi+3tLmMrJFjY58kXFIYNTdj7bZmTDZj/2T9dwjP\nSyEP1cs5sqLvOk88LFnayuQ6fEwM1Naqa2RQPZi/piZqnu8sbUsr1qex8ceaqHTdnlKq7UtwUU3l\nqfe/UNd3U219t6v6R47rDtNy0gf2IOmzO45FjvmcYU9RejVfLW1nq4M+o+SuauyqP0H1hLgcPn+c\nOVhBy8lU7cM1lV4vfSZ+v5rv6pj3Y7e8lHOeBwDQ6KbjuQ1pGnsNoGNwKKTm7U8+oVrMm6YPIek1\nf/sycpzOdIm7S5RfaLeMdJJX0Jmm/QG0Jwbb4yGI1go1jVRr3Lc79Whc9qHS/o7vTr1VO6UpXXKS\nk85nlXVUY5mFnp/DTuf0QSPohpwHd6vnOWQs9Z7EvqKNVfQamd2op2Z6387qcz7m9ZqmdLghjQ8s\nbUtbijrX4qC6UkKM7wMyNxsc/rp27VpYs2YNHDhwACoqKuDgwYOQlZUFnTt3hqSkJAgGg/DEE0+0\n72Y9giAIQosRSxBBEARBuLiIx7m5wzWVjz32GDz66KMwceJEeOihh2D37t1GVkEQBEEQBEEQBEEw\nEMPDX1esWAGVlZWwf/9+WLlyJYwZMwby8/PB4XBAY2MjZGZmwooVK6J+3rDwV4xeE7RBKMtDQWmx\nLOwRnxvDKoGUo2MTotk22cLDKVV4B+8GOPxEE0arEyYaDtAwA2z/oXcNAGbPwNsdhUg2s9BPjf2I\nT4VM8FBLvfBXPTSvCUvj64T8NMQGh2XqhbsC0HAqHpaJ28eWTLdY1wur5fXBeSYWQqbZ+r85esgt\nRjfUG4A+PxYyxm06zheN9Q4OcWd9BNdXu7149HdT0z6tGR/aaZxp7xCb6p1b21xG5vAx7VATIZ44\n77mZj3l8DMbvLZMZ4PHS4mA2ASEenh/9fSMhruz6PNw05FfhgzzktrHoFEmbkIWVI4uG2DUcVSGm\nATcdk5O70HDY+mJlKVJ/hobjpnZSY39iJxoO2FBCQ0GbPGrM3rvjDMkbdXX3yHHlCWoT0rkfHWO2\nrjseOU5gIa2ZWSpc8GwlDX+tZeGmf9zwVuT4qvwRJA+HeyYnUElUIEifUYpT5X927ATJy06ic+Ok\n4fmR439soj9ifHfsoMhxZhadh04U15J0aZWyHzldT23WAkhSctNlNIQ0NZXeC+7+n+8qI3k21H+G\n96ch2kkptF+eLFbPzOOlc3MaOpdf35VHQ7ixbVhVCb2vXlcpe51wE7fTo3OWNVn1A75mdebSewl5\n1TvF15POXBUOy0PRucwH29SZmW2InlWY3ljB76s1UhWZmw3+pbK5uRmOHTsGH374IeTm5kJRURF0\n7doVvF4v2O12aNJZpAqCIAgdQBzuMCcIgiAIlzRxODcb+qXyk08+gfr6esjJyYFHHnkE/vjHP0JK\nSgp4PB6w2WzgcDjAxwyLBUEQhA4kDicuQRAEQbikicO52dAvlQ6HA0pLS2HcuHHQ0NAAVqsV9u3b\nBx9++CGkpaXBT37yE/Cz0DxBEASh44hHLyxBEARBuJSJx7nZUE1lKBSC66+/HtxuN4TDYXjuuefg\n3nvvhS5duoDD4YDs7GxwOp3wu9/9LmoZGt0Gri7XHiLtk54OkZ+r0UnpfU7PNoBpM3isOLah4Fo2\nvcegsXJA96bRsrVQIwgAYLKpWHu8jbvmmlyHqKkgsmfgWkOkqQyybd31dHi8fYh1Cwub5jpF3XJ4\nPupDetpDzTVZuVhrY9LTF+rofACoLpD3Yb170dPvmpkmgFhtaCxE2se6tjW6BD3LmlbZ9Oig0U22\n4p1v+UXYs22vCYGVa0/LjnLi+VGzZ3uby8gYMqodaiLEE3xuJnOqidsYBc95HgBAyOMm6aAH6aRs\nbNxA5fIxxlvOLCrSlHaMjyO1h5S+sbGC6ray+lD9V3Mw+pxatK2EpEtLlSZt6OjOJK+mXN1nUhrV\nhnH9Z0YPpS/c/sFxkhdE9UlkNg/OBNpe729Xn81IpFYJV4zoGjleVPg2yfvR+CtI+vBp9awLcqj+\nM4Tqfrj8LMnrnEY1n96AGus7Z1DtI7bsyOtM897Zcoyk++aqMXDpxn+TvNsGXUnrkK7KGjWKPhMr\nuia35aipoOuVrv2VXq6iiOote47pFjn2M6sNYNOAH+lMU7tS3W3JTmQpMiqP5CVk0bb0lCv9bGJn\nahOCtcjhAO37Dhd9fo7M6DpAbFnjyKLX8DMbnOSCXlHL0ezHgNaMXDdpz1D10awNdOZ/vXOxLhpA\nq40+b4svmZs1GPpL5QsvvACJiYngcrkgFArBvHnzwGw2w9q1a2HJkiUQCATAYjFgcScIgiC0jDjc\ntlwQBEEQLmnicG5un58lonDo0CEAAPjHP/4B9913H9TU1ECfPn1g2rRpsH79ejhy5AiMGiV/4RYE\nQRAEQRAEQYhXDP1SefPNN8PZs2dhxowZ8OSTT8KAAQPg/vvvh2AwCIFAAEKhEEydOtXIKgiCIAg6\nmEzmNv8TBEEQBKH9iMe52XBN5Zw5c6CiogJqa2vh+eefh+HDhwMAwDPPPAMulwumT5+uW0aH+FS2\nBR2NZ6uKaY3Gs4XX1OjsuE8kvg4vR6dbcH0K17bQOkQvR9djM4anJb1GdL2cxlOTta2+l6jONXn7\nYD819iIT38xE5snIfNiwLkDP71Kjs22FbybOa2qkegauWcA+oxq/UqTD5Z/jfqXUX84RNe8//yPq\nueQaQX3fLKxt1ehKUd01WlX2/PTeR6yB1Wp9LSwd3fv1QvpU1h7Y1eYy0gcMa4eaCPHExTY3c++5\nEB6frNSrrzXarJBPaetsKWn0XLYXARnrE6iGEY9zwUbqBxj20/HSmqw89vAYfK76YXzlFfR/oHGF\n61MDdWrsDzdxr0CqDavdXxw59jPvSVuSqp+NaTx9TF9oS1D5pw9R/WVWV6UZDLhpe/i9tH7Jmapt\nG6vpNSxWOn6Xn6qPHCcwzeknO5Um9rbvDCJ5+78sJ+mys6q9XtzyPsm7e+yUyPFre7aRvCt6DCTp\n7lmqD721bw/Ju2ng4Mjxs5++Q/IKMruTdJcUNQ9c1b8HyTtcWq3Oy6S+lFUNVCta5Vbpywd0I3k1\n9UqLWFJF++yUKwpI2u5UbXviSDXJ68y8MVOQt2nWAKpzrT2m+nBKF6o5tadT70l7ptKH4nfvq3PV\nZwPV1L/V7LBHPddso3m662SGzM0G/1L5wgsvQF1dHWRmZkKPHj1g3rx5sHv3bpg5cya89tprsHLl\nSqiuro5dkCAIgiAIgiAIgnBR0mGayrlz50J1dTU89dRTsA9BbR8AACAASURBVGjRIrjttttg4MCB\nsHz5ciOrIAiCIOhgMpna/E8QBEEQhPYjHufmDtNULlmyBAYMGAB//vOfoV+/fgDwVXisQye8TRAE\nQTAYs6nt/wRBEARBaD/icG6+YJrKL7/8Eh599FH4+9//DhkZGVHLuNh0G+2GUZ52F/qa7BrNyI8o\nllZUz+eMlKOTBxDboxSj54lIztP4gdL71PNhw9doZhpKXU0n1zBizRDTqprt9I8zYb/SF/BXHOsx\nLU6q+wm6qWcc1oCGfdTrqTkcvZ25lpZoD5nekmuPsGaomeuH0CDJtUVWplflvqjRzo3ln4r9Svk9\nE38r/izZ88PX1OiAUR+Jpf9qb91G3eE9sU+KQVrfIe1QEyGe6Ii5mesk8fuml9cWuG+eNUn5HLbG\nN681NDXUkTTWbmJNJwCAJQGNyUzTyecBco166q0Y8qo5wpZGtaL4GgAA3vIydA2m8fSpOmAtKL8G\nAIC75EzkmPt/4jkitW8+uz7Viob96jkk985neXR+aTim9KDu07Sds4apz3pKqcaz8sAZknamJ0SO\nE9LonIW1o9zDcuDNQ0n68Lv7VH3qaV2PnVSfnXzrAJL31xVbSPrmiX0jxzt307paLWqePF5B69Ml\nneobXRnqXt7ZdZjk3TpG6UHf+fIoyTtaXUrSwzv3jBy/e5jW9RdTvkPSf/zo3cjx0E59SN60y5W2\n9d/bjpC8KcOpF2ZKiuqLJ0vqSV7PHqpPJ6bS98LmoHNz94lIT8vWxRaneu5cUy1zs5YO11QeOHAA\npk6dCj/60Y+gd+/ekMYGM0EQBEEQBEEQBCF+6FCfyurqaliwYAE4HA7YuHEjJCYmwkcffWRkFQRB\nEAQd4lG3IQiCIAiXMvE4Nxsa/rp+/XpYsGAB5OfnQ1VVFWRkZMDx48chLy8PkpKS4PDhwzBp0iR4\n8skno5bhr62Imqdne8HD75pDNGylmYQrsjAMFO7G7RhwHoefy+FhIxgcEsjDePhWyTj8E/80/9W5\nqg48xM6WkkrSONSR181sVeEBemGOAPrhga0JD8IWEDzUkoT1cOsI9uKQLs3CTU02fp8onErH/gRY\niC23naBZrH46Yb885JbYhuhYpeiF3/I66IaFxQqJ1rOv0Rs6WlPON5HWhKKzc+1p2VFOPD/qj+6L\nfVIMUnsPin2ScEmhmZtRP9UbS/lcHKil4Xm+CrUjfKCOh6arMbDuJLUJ4FYS2GqintlO7DmsQh0L\n8lhIGxu/m5rU2G+z0Ws88Ra1faj3KduF/7r6JpL3p4//HTl2JdF3eN7USST9y1fXRI77ZPUkebcM\nV+FsHh9tSxtrg4OnaUgnZny/rpHjimrazl1zaYhkpzwVArzmXTpeXH+ZspZId9GwWScLO/TUqXn9\n6CG68//IK5SdhWsUtavwltFQaweyyag9cprkJTEbimCjWhMldsmk5WRHD1d0F9PwzvQhaozD4cBf\n1UeVw+UUTQ00LJPUtVuPqHk8XNnsYGs9j1q/WRJp2DEJi2bzhy2Vt4+qHw+f1gunDvnpGg2vw/Q+\nx2lLSDn+bFtC0clai9vZtWL9JHMzQPuIEKJw5ZVXgslkgr1790IoFIKHHnoIbrzxRjh9+jTcfvvt\n0NTUBL/85S+NrIIgCIKgxwUwSBYEQRAEQYc4nJsNrfGjjz4KaWlpsHv3bvjtb38LCxYsgEAgADU1\nNdCnTx/Izs6GJUuWGFkFQRAEQRAEQRAEwUAM/aUyGAxCKBSC5ubmyH/vvvtuaG5uhkWLFsH9998P\nZp1wUkEQBMFYeLi2IAiCIAgXlnicmw3VVNbU1MANN9wAHo8HgsEgzJ07Fz7//HNwu93gcDjg2LFj\n8M4770B2dvQ4ZF9VOUljqwRuf4D1hFx3F2ygce7u00qPYbHT79Z64lYek4/tK6wpNK6d6y+xfYPm\nGiasS2SWFDqx4iYLt7pQ9dGzkuDl6sa1d9BP8MRShOkQSV3ZNuomS3TNop61BUejfSQaIR19Ywz0\n7FD0tHSt0VRyWxV8blu0mS3VKWiu0Yr7PG9iDV3tdc2LTA/a3tuWNxQdbHMZKT37t0NNhHiCz83Y\nFsNfSTVwvrNIt2WlY+eXbx8i6V+99krk2Gmj1g3eJqqNxNw1ZjJJbzymLBDuv3E8ySspU7Yhg4fm\nkDxHMtXdJ7nUvO6upGsORxI9NxhQ42dG31ySF6hRnzVZ6DhSc5y2V3oPtc4o2nqK5PW6PD9ybE+n\naw5LAtWy1R9XesOkPDpuhHxqH4dwEx33HRlUU1m9vyRybGP3nDN+WOT47FZqgZDcoxNJY0stXyW1\n90jqps41sT6SkEPbEusNfRVUN6rRSfL9EBB43WNJoJpFrj3EtEZTyedGR6Za7/oqqS45waX6ItdU\n+s5UknRitzxUd6plJZ+roO8pt95qqf6RryctTOOJ4RY5fL2EbXraArbb4Wthsj9FKLpd3FefbaFu\nMsb8L3Ozwb9UFhYWQk5ODiQlJUEoFIJnnnkGcnNz4ezZs+BwOMDr9cKvfvUrWL58uZHVEARBEKJx\nEXxRFgRBEAQBEYdzc4daiiQkJMA999wDDz/8MPzrX/+CoUOHyhdKQRAEQRAEQRCEOMbQXypvvvlm\nWLBgAcyYMQOqqqpgwIABcPjwYSgqKoJ///vfUFJSAh6PBxITo/90LwiCIBiH+EwKgiAIwsVFPM7N\nhmoqQ6EQzJkzByoqKqC2thaef/55KCoqgn79+sHAgQPhueeeg7q6OnjkkUeillF3mMbo29NVnDuv\nOtGRNQVIXjhI49p9FSo+3Wyj362b6pH/TwLVD2j0e6gOXFMZ8lD9hyVR6UM0GkYc0830oNYk7kGE\n7o11OhznzrWHXB+H28TsiO6hGWIaAe5pidvdZI3+dwqNVtRq5yeouvH2QXH/ZnaNkJ/5eKLYen7P\nmth6nZeW6AK5F6aehlDHo5FrHzXX1NE7knLby18yDgetbzrtrdtoPHk09kkxSO7eux1qIsQTfG62\nJSudFJ9vsZadzyfukjMkvalQlZuUSMfvN7YqjdGQPKqz8/jpnLH15InI8V0TR5O8P723IXJ8Vc8B\nJK+0jurBLu/THaLRozv1uNy8Q3kb9uxM83rkq7XLqZP0GgV96F4N+/Yord3AwS6Sl5iu5viP1x0n\neSOG0TapPqvaut/YPIhGVTHV7xVcS9uk/pjS5R38vITkDbuhX+Q4tW8+ySt+9wuSdg1WdUjqSdvV\nd1pdw5pM1zx8viP7U7A5vok9P4tDrR3w5wDoWirkp2vGZrYGsWdmqHN9dG1lT1d5gdqaqHkAVCvJ\ndZt6edwXEq+X9DSVRsHro6exbC/09v5oi99leyFzs8G/VL7wwgtQV1cHmZmZkJaWBvPmzYPly5fD\nH/7wB2hoaACPxwMOR8tNUgVBEIT2JR53mBMEQRCES5l4nJs7VFNZXV0Ns2bNgmHDhsGqVatgxIgR\nuju/CoIgCIIgCIIgCBc3hoa/rl+/HhYsWAD5+flQVVUFmZmZUF5eDmazGerr6yE9PR0KCwshMzMz\nahmB+qqoeW2ivUIAdcrhP8dj9KwtNJcI0ZDJcFCFafAQUpzH4ec2h1T9SEgtAFicLPyEfDB6CCcP\nCyV5zK4CWCgxjh/n20NjKxn+OV4uLkcvRBqAhutqykHPSFOOTp/hbYn7hda2hFmBoPrwcnCYT5iF\n6vCt5PG96LWBJmTEET20WUMr7Gvwe2JJoCFIvM/oDUm43flW6JpropBkzftG7GJ4+3C7H9Sf2LuI\ny9Va3dA+7C4ujhx7z9AQqfSBBZFjHrZjcdLQJkcG3aa/rbhLjrW5jKSuvdqhJkI80aq5uRXzLX6P\nWmp3cC6CXiVj4XOfr0KF3Ib9LJQxg4YdEkkHG5v8VdUkXb5VvUudRuaTvFOfHIkcJ7vo/Jreh4at\nVu1TYbTbP6WWIpPuHKHqmkatGQI1DSTtLkc2L410zrA51X0d20lDkPMH0j/2Bzxqnsgd3o3kbXxp\nR+S47yD6uVPHaFitBVmpnK6g9izduygbk15jaKhu+UFqG5LRWd13dRm958w8aocSalJj9qaPikhe\nj7zU/7+9M49q6tr++DcDSQjzKAgyFxEHRHzV1nmgTk+Xdaiz1oeCOFFnEUQtKljBoVVbtO91UFst\n1WpbV7taFW1r+xRRtA6gtipoRSGMISQhw++P/kxyLhIiQoW+/VmLtXLYJ/vue+6wc5PzPdvw2r0t\nO5YPClm/fiHGqY2XstmSIl1fbGt4nXWCnZI8YkJn1u91o/SqupI9JrYOxvP9XmElYwvpzE6DFpmU\ndhHbs1NPtSalbRQydrq5Us7mfJXS2DfApFwNAKgqjO+VF7HjwU3TpqV33Lq3Z2yKe2xZE+Z9Pm2Z\ntunUeY1czthEjuyUctNcqSrjTjs2Xsc1D9jz28qePdaFJ4xT7kuL2POy05iuhtdiF/ZZhVsahXJz\nM/9S2bdvXwQGBkImk6G8vBzLly9HcXExFixYgOzsbIwePRr79u1rzhAIgiAIc/B4z/5HEARBEETT\n0Qpz81+uqeTz+fjss89w6NAh3L59GzweDwsXLmzOMAiCIIh6aI0rzBEEQRDE35nWmJv/Uk1lWVkZ\n+vXrhwkTJmDnzp3g8/mIjIxszhAIgiAIc/D4z/5HEARBEETT0Qpz81+uqdyyZQsSEhJw48YNODs7\nY//+/bCzs6vXR2M1ldzSETyBsF47Vzem42qzTN9XpyyGiSaPo83i6huZbx3MHGwdZ6lmbgkPxic3\ndo6ui+nLKcXBHHpO7KZlTbhatTplOkz9aDnjIzbq5+po58yUGDHVewKsPo07rnzOsTUdW64fgZiz\npLiZY21Ou8rFdF+4S2ub6ha58fCtODpX7nGwEK4OUGdSUoe7z6ax1tFMckunmF5HdWwmmkru8eL4\nZbZpTi8LVkOo45QGMh0vLbdkjrkSNZz7gek5U+c8bKJjwh2T2iqjPqT6LqvJKcw26qZCxvXg+GFj\ndwhmNTrPiuLB3YY7NYDU07cJIiFaE2Zzs5mSR1wdN1fvrFWYaCE5mkpVqXGbAs7K8eoyVr9n5WDU\ny2lr2JxaetV4zgtE7L1KZM/eL4VS4/38/llWk2fH0UZqTLRsDr5seYHrx42aSid39n1OPqyOs+qB\nUU9X9pDVeLn5GnVlxQWs7s4vgtWn/X7OWP6jVs3qwUMHGbVWimJWL6esZO+tLu3dDa//MCmbAgDt\nevgZXheevcPY3INZjaXQxnjMuH7aj+1pjIejweOL2ZxRlG08Du5dvBmbjvMZRH7PqLXzGsyWllEU\nGmMovcbG49KZ1Y7qak3WKeDkBNPSc1olm7NETvZMu+SCsUyER+8ujM30HOZqe/mczxU1943xCjmf\nodWlxn0uv8mOpa03W+JEaXLspR7sNm//aNT0BY8MY2wlF9hrwb1HsOH1gzPXGVubF9myFjVFRi2y\nqow9v229jdeNUsael06dWH1grYnmkvu5lMc3+RyoY8/92grWr7rcGMO9C+x5sOdLY1mctA9iGJue\nUzrJMbQrmpLWmJubdfprnz59wOPxcOXKFWi1WsTFxaGmpgZVVVWQy+Xo27ev2QdKgiAIoplphcuW\nEwRBEMTfmlaYm5v1oXL16tVwcHDAmTNncOzYMSQkJKBfv37o3LkzBg8ejJs3b+LUqVPo379/c4ZB\nEARBEARBEARBNBPNOuFWo9FAq9VCr9dD+/9TEkQiES5duoQ+ffqguroaQmGzPtcSBEEQZuDxeM/8\nRxAEQRBE09Eac3OzairLysowbNgwKBQKaDQazJ8/H/3798fYsWPh6+sLBwcH7N27FyIzmsFmq1NJ\nEE2JpXXYzGiNWgJcfaGpNrJODVKTfeFqlrn7qTdX29SMrvWphObcbVj4Xq720Vw91Tq1TE21o5zt\nazg6rsr8uyY2VncjLzZqOlZnfMPYprwUwbTH7YpDU1LzqLDhTg1g7d6u4U7E3wrKzX8ftEq2lqFA\nIq2nZwN+OOtBcNcXMN0O96On0ExtbK5fc9vgoi4z0eFas3pZ0/2sreRocu1ZfSETD2e8zOVJ7lia\n2xfmfZz9Uj5itZESd2NtU2XxI8amN9EtW7dla35q5KwOV2taD5tzTKp+N2pydSo294md2RqNAhPt\nsbqc1Syae7gx1aMCbK1sJaees1rOjp3I1rjN8jvs/cjO06hlFUpZ/XXxdXYsr5jUaZVK2M8yv903\nnhcf5ZxgbFEvsguNxmUmoilpjbm5WX+pPHjwINzd3dGxY0d06tQJmZmZiI2NRfv27eHi8qcYd+PG\njc0ZAkEQBGGOVrjCHEEQBEH8rWmFufkvKykyd+5clJWVoaSkBAsXLsT+/fvh4eGBy5cvN2cIBEEQ\nhBla4xQbgiAIgvg70xpzc7MKGkeNGoWEhARMnjwZMpkMISEh+P333/Hee+/hgw8+gFwuh7Ozc3OG\nQBAEQZiDfmkkCIIgiJZFK8zNzfpQ2bdvXwQGBuLRo0coLy9Hamoq3nrrLSxZsgTdu3fHunXrUFBQ\n0JwhEE3B0+gA/wrNYAPbYGoiNnRRWrovDeyHqWaQxxNwjfX64dZsY2otPcVYNlT7jXVjtHHrdPI5\nC2dx/dbrk8+t0Vq/X66NWz/V0nHn1mTl1r80B7fWKYOAU/tVZVqvlGMzMz7cvkXXjbqN0oesJqdW\nYzx/3hjZm7G1H8jW+CIIoukwew9uQky1dHVqGXNr7nLqc9ZHbVUF07ayc2DamhqjVlvP3U+TGJ5G\nQ2nqE2C1kNwa29z9VJcb9Wnc+ts6pcn4SOvXV3K3U2cdAE7O0KqMY8vVVJrqKLl1IGXnc5m2Yydj\nHUatkj1eQmn941d16xbTNq2fykVgoieU/8bWgZR6e9Ybn8Casy6JSR1NoS07lspHJUzb2sNYg1Rx\n/wFjswsw1gDVKLi6W3YsTWtlV9xgaz06dmB1fepSo66Tb8Xm/6rbJnpHzkcgbg3Z8tsmellOvdmK\ne8ZrQ+rCHh+pE+sn9bujsIQNr45n2uGvUG7m0qwPlRkZGSgvL4eTkxMcHR2xePFirF27FrGxsQAA\nX19f+PpS0WyCIAiCIAiCIIjWSrP+tpqTkwOJRIIDBw5g7dq1KC4uRmpqKtLS0pCdnQ2lUgknJ6fm\nDIEgCIIwA4/Pe+Y/giAIgiCajtaYm5u1pEhCQgJu3rwJoVAIrVaL3377DWq1GoGBgRCLxXBwcICX\nlxeSkpLq9fFcli03N/2OWyrBdKplA2UVLJ0Kaq6sQ93OzxCPmdgYP+a2zw1Hy05t1OtMy06w32GY\n81t3SovxvdzyFHot2zbdDncb5qcrcsbLZEy4+8XFdDt1pneaXNh14uH2NYmdu19PAzPWZs5D7rSr\nun6MU8HM9uUcE54VOx1HX2sy3ZQzvdR0qg7ATv3ilvtgtsEZS+6tTCM3LmsuELPTyXQa0/ObM12q\npoYTj8jExlkO3uS9DU2jM51GK+BMlxJaG6decacDR49cz7T3ns1AU6Iqf9RwpwYQO7qbtev1eqxd\nuxb5+fkQiUTYsGED2rWjMiStmTq5+SnkAo3F3BRSbqkG0+tf7OLG2kymcHJLWZjLEVrO1E9u2QnT\nGJh7HgBVmbE8gk07doYWdxqr6Vhyp4lqqo0xWNnVP5USAHQmeUv1qJixqSvkhtcSd3ZtC7GzC9M2\nvScr7t9jbEKpcSqhTs3us7qCLS1hZW8sQ2HlwE7VlZ2/angt9WB/bJC0YY+f6VRVRSEbD48jOxCZ\nTDetecDe64R2UpN+bDzVd9kpnGI3Y0zy238wNmsP4/hplewYCG25ZUysTfqyuUZgcqwf/jefsfEE\n7DVl42GM9/5FdgwkUmPuqShht+Hf04dpF10xTnmV2LF5slZpPH88w9n7dcXv7PkkMCnFIXHkTAfm\n5Niv/n3e8PqlXqxfpbz+66/kEXv9+bxgHPeTJ39nbP5tjeMjFLKfPW1t2dzcJsB4bJ2CPRibyNno\nh3vO9nxxGtO+fPd0vbE3hpaQm0+ePIldu3ZBKBRi7NixGD9+vBlvzTz9NSwsDDweD+vXr0dubi4m\nTZoEAPjiiy8AAP/9739x+PDh5gyBIAiCMEODuuMm4Pjx41Cr1Thw4AAuXbqElJQU7Nq1q9m3SxAE\nQRCtkeedmzUaDVJTU3H48GGIxWJMmjQJgwYNMrvAarNGPHbsWNjY2GDKlCk4ceIE/Pz84GDypF9d\nXQ17e/PftBEEQRCtm5ycHPTp0wfAn182Xrly5TlHRBAEQRD/25jLzb/99ht8fX1ha2sLKysrRERE\nIDs726y/Zn2ovHz5Mnr27In9+/djyJAhcHNzQ3h4OM6dOwcA+OGHHxAREdGcIRAEQRDm4PGe/a8B\n5HI57OzsDG2hUAidrvHTuwmCIAjib81zzs1cm42NDaqqqur4MKVZp7/6+/tj0aJFyMjIgFgsxvr1\n66HT6bB69WrU1tYiMDAQQ4cONetDZO9i1k4QBPFE3Bru0hpoag0ll7/iHmtra4tqEy2YTqcDn9/6\nanARRlp8bjZz/T+P2KVt/eu1/RXxSNv4NNzJAporVumIxsVn7eZlcV9b3+CGO/0/Nt6B9docgjtb\n7Kex2L/QyeK+ngMbv522kY17n3uvxm8zZtDgxr+5HjrNaXKXDdLUGkouzzs329raQi43aq8tmV3a\nrA+Vjo6O+OCDD+r8f+/evc25WYIgCKIF0a1bN2RlZWHo0KHIzc1FcLDlH+4IgiAIgmh6zOXmwMBA\n3L17F5WVlZBIJMjOzkZUVJRZf826+itBEARBmK4wBwApKSnw96//lxuCIAiCIJqXJ+Xmq1evoqam\nBuPHj8epU6ewY8cO6PV6jBs3zrDgan3QQyVBEARBEARBEATRaEjUQhAEQRAEQRAEQTQaeqgkCIIg\nCIIgCIIgGg09VBIEQRAEQRAEQRCNhh4qCYIgCIIgCIIgiEbT4h8qLS2QrVarAQBKpdLwWiaTMX4e\nPnzI+CssLER96xSp1WoolUrI5XI8evTI4JMgCIIg/teh3EwQBEGY0qx1KhtLYWEhUlJScOXKFQiF\nQuh0OgQHByM+Ph63b99GcnIyhEIhFi1ahODgYGzZsgWXLl3CkiVLsHXrVvD5fMTGxmL79u345JNP\nkJeXhy1btkCv10Mul2P58uXYvXs37ty5A2dnZ6SlpcHT0xNbt26FlZUVpk2bhkWLFqG4uBgSiQQK\nhQJ+fn5wdXXF+vXr4ePTNEWEn4Xjx4/jl19+QVVVFezt7REREYGhQ4eirKwMu3fvhlgsxuuvvw4H\nBwecPHkSx48fR3x8PFJSUsDn87F48WJkZ2cjNzcXcXFxeOedd5Cbmws3NzesWbMGM2bMgJubG0JD\nQzFnzhzY2dnh1KlTEAqFePHFF7Fx40ZcvnwZzs7O0Ov1UCqVsLKygru7OxMPj8dDaWmpIabp06fj\n4sWLsLOzw48//oiSkhKL4tm/fz8yMzMRGRmJRYsWNTqe5zU+jo6OcHJygk6ng1wurzcmc+Pj6uqK\nmJgYZGRkQKFQICUlBZcvX8ZLL70EoVCIo0ePWjw+rTWeho5ZQkKCxfEAMMQUHh6O2bNn4/79+/D2\n9oaHh0eLi6d3794YPXo0eDze87z1EP/DUG5uGMrNlJspN1Nu/l+lRZYUmT59OpYsWYKwsDDD/3Jz\nc5GamgqdToc9e/ZAp9MhLi4ODx8+RHJyMpKSknDnzh20a9cO7u7uyMvLQ01NDSIiIpCXl4fMzEws\nXboUaWlpGDduHDIzM7Fy5Ur4+/vju+++g7e3N1auXImqqiokJSXBz88Pa9euxdq1axEfH4/jx4/D\n2dkZH374IXr27NkkJ/LT3AxNT2StVgupVIp+/fph4MCB+O6773Djxg3odDpUVlYiNDQUOp0OZ8+e\nRUR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       "text": [

        "<matplotlib.figure.Figure at 0x9ec6860>"

       ]

      }

     ],

     "prompt_number": 11

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Una vez con la matriz de datos construida, donde cada fila representa una estaci\u00f3n, cada columna un lugar en el rango y las celdas el n\u00famero de veces que esa estaci\u00f3n fue situada en ese rango (para la imagen derecha las columnas fueron normalizadas entre los valores de sus columnas y los valores oscilan entre 0 y 1). Se realizar\u00e1 una serie de pasos adicionales en esta ocasi\u00f3n: una vez obtenida la matriz con las frecuencias de aparici\u00f3n en los rangos se agregan un conjunto de caracter\u00edsticas extra para aportar un poco m\u00e1s de informaci\u00f3n a cada estaci\u00f3n observada. Este nuevo vector que ser\u00e1 concatenado a cada estaci\u00f3n consta de un vector de 18 puntos los cuales representan lo siguiente:\n",

      "- Cementerio\n",

      "- Centro comercial\n",

      "- Centro de asistencia m\u00e9dica\n",

      "- Edificaci\u00f3n\n",

      "- Escuela Estaci\u00f3n del metro\n",

      "- Faro/Radiofaro/Vor\n",

      "- Instalaci\u00f3n deportiva o recreativa\n",

      "- Instalaci\u00f3n diversa\n",

      "- Instalaci\u00f3n de comunicaci\u00f3n\n",

      "- Mercado\n",

      "- Palacio de gobierno\n",

      "- Plaza\n",

      "- Pozo\n",

      "- Rasgo arqueol\u00f3gico\n",

      "- Tanque\n",

      "- Tanque de agua\n",

      "- Templo\n",

      "\n",

      "El valor de cada una de las caracter\u00edsticas representa la distancia m\u00e1s cercana que existe entre una estaci\u00f3n de Ecobici y dicho punto. Esta informaci\u00f3n fue obtenida a partir de archivos AGEB que ofrece INEGI desde su p\u00e1gina oficial, informaci\u00f3n actualizada hasta el a\u00f1o 2015.\n",

      "\n",

      "Despu\u00e9s de unir cada vector con su respectiva estaci\u00f3n se procede a realizar una normalizaci\u00f3n sobre las columnas de cada caracter\u00edstica. Esto debido a que se utilizar\u00e1 m\u00e1s adelante."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "points = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\distancias_estacion_punto.csv')\n",

      "a = points.groupby(['estacion','punto']).min()\n",

      "b = a.unstack()[:90]"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 12

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "b.head()"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "html": [

        "<div style=\"max-width:1500px;overflow:auto;\">\n",

        "<table border=\"1\" class=\"dataframe\">\n",

        "  <thead>\n",

        "    <tr>\n",

        "      <th></th>\n",

        "      <th colspan=\"18\" halign=\"left\">distancia</th>\n",

        "    </tr>\n",

        "    <tr>\n",

        "      <th>punto</th>\n",

        "      <th>Cementerio</th>\n",

        "      <th>Centro Comercial</th>\n",

        "      <th>Centro de Asistencia M\u00e9dica</th>\n",

        "      <th>Edificaci\u00f3n</th>\n",

        "      <th>Escuela</th>\n",

        "      <th>Estaci\u00f3n del Metro</th>\n",

        "      <th>Faro/Radiofaro/Vor</th>\n",

        "      <th>Instalaci\u00f3n Deportiva o Recreativa</th>\n",

        "      <th>Instalaci\u00f3n Diversa</th>\n",

        "      <th>Instalaci\u00f3n de Comunicaci\u00f3n</th>\n",

        "      <th>Mercado</th>\n",

        "      <th>Palacio de Gobierno</th>\n",

        "      <th>Plaza</th>\n",

        "      <th>Pozo</th>\n",

        "      <th>Rasgo Arqueol\u00f3gico</th>\n",

        "      <th>Tanque</th>\n",

        "      <th>Tanque de Agua</th>\n",

        "      <th>Templo</th>\n",

        "    </tr>\n",

        "    <tr>\n",

        "      <th>estacion</th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "      <th></th>\n",

        "    </tr>\n",

        "  </thead>\n",

        "  <tbody>\n",

        "    <tr>\n",

        "      <th>1</th>\n",

        "      <td>2.252424</td>\n",

        "      <td>8.156778</td>\n",

        "      <td>0.335721</td>\n",

        "      <td>3.856907</td>\n",

        "      <td>0.377301</td>\n",

        "      <td>1.269409</td>\n",

        "      <td>8.875996</td>\n",

        "      <td>2.962652</td>\n",

        "      <td>4.304053</td>\n",

        "      <td>5.704439</td>\n",

        "      <td>1.051902</td>\n",

        "      <td>5.932279</td>\n",

        "      <td>2.605677</td>\n",

        "      <td>7.876861</td>\n",

        "      <td>8.585245</td>\n",

        "      <td>5.098840</td>\n",

        "      <td>10.297686</td>\n",

        "      <td>0.148498</td>\n",

        "    </tr>\n",

        "    <tr>\n",

        "      <th>2</th>\n",

        "      <td>2.600545</td>\n",

        "      <td>8.475531</td>\n",

        "      <td>0.685899</td>\n",

        "      <td>3.696828</td>\n",

        "      <td>0.400904</td>\n",

        "      <td>1.350651</td>\n",

        "      <td>9.188810</td>\n",

        "      <td>2.954303</td>\n",

        "      <td>4.608516</td>\n",

        "      <td>6.044411</td>\n",

        "      <td>1.077152</td>\n",

        "      <td>5.995982</td>\n",

        "      <td>2.927772</td>\n",

        "      <td>7.793003</td>\n",

        "      <td>8.913177</td>\n",

        "      <td>4.814174</td>\n",

        "      <td>10.102608</td>\n",

        "      <td>0.254115</td>\n",

        "    </tr>\n",

        "    <tr>\n",

        "      <th>3</th>\n",

        "      <td>1.395726</td>\n",

        "      <td>7.663797</td>\n",

        "      <td>0.364428</td>\n",

        "      <td>4.793619</td>\n",

        "      <td>0.562313</td>\n",

        "      <td>1.668506</td>\n",

        "      <td>7.852204</td>\n",

        "      <td>2.636390</td>\n",

        "      <td>3.960566</td>\n",

        "      <td>4.738577</td>\n",

        "      <td>0.725894</td>\n",

        "      <td>4.931439</td>\n",

        "      <td>1.593670</td>\n",

        "      <td>8.670100</td>\n",

        "      <td>7.580664</td>\n",

        "      <td>5.573361</td>\n",

        "      <td>10.291075</td>\n",

        "      <td>0.859971</td>\n",

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        "    <tr>\n",

        "      <th>4</th>\n",

        "      <td>2.747287</td>\n",

        "      <td>8.751440</td>\n",

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        "      <td>3.914058</td>\n",

        "      <td>0.227078</td>\n",

        "      <td>1.043689</td>\n",

        "      <td>9.206566</td>\n",

        "      <td>2.662107</td>\n",

        "      <td>4.901206</td>\n",

        "      <td>6.139645</td>\n",

        "      <td>0.851539</td>\n",

        "      <td>6.178447</td>\n",

        "      <td>2.985691</td>\n",

        "      <td>8.057153</td>\n",

        "      <td>8.967105</td>\n",

        "      <td>4.503313</td>\n",

        "      <td>9.758812</td>\n",

        "      <td>0.412524</td>\n",

        "    </tr>\n",

        "    <tr>\n",

        "      <th>5</th>\n",

        "      <td>2.473020</td>\n",

        "      <td>8.490501</td>\n",

        "      <td>0.624595</td>\n",

        "      <td>3.990108</td>\n",

        "      <td>0.143892</td>\n",

        "      <td>1.301119</td>\n",

        "      <td>8.970715</td>\n",

        "      <td>2.680691</td>\n",

        "      <td>4.650596</td>\n",

        "      <td>5.876588</td>\n",

        "      <td>0.788220</td>\n",

        "      <td>5.973495</td>\n",

        "      <td>2.731533</td>\n",

        "      <td>8.082563</td>\n",

        "      <td>8.717246</td>\n",

        "      <td>4.748064</td>\n",

        "      <td>9.937960</td>\n",

        "      <td>0.386782</td>\n",

        "    </tr>\n",

        "  </tbody>\n",

        "</table>\n",

        "</div>"

       ],

       "metadata": {},

       "output_type": "pyout",

       "prompt_number": 13,

       "text": [

        "          distancia                                                           \\\n",

        "punto    Cementerio Centro Comercial Centro de Asistencia M\u00e9dica Edificaci\u00f3n   \n",

        "estacion                                                                       \n",

        "1          2.252424         8.156778                    0.335721    3.856907   \n",

        "2          2.600545         8.475531                    0.685899    3.696828   \n",

        "3          1.395726         7.663797                    0.364428    4.793619   \n",

        "4          2.747287         8.751440                    0.811296    3.914058   \n",

        "5          2.473020         8.490501                    0.624595    3.990108   \n",

        "\n",

        "                                                          \\\n",

        "punto      Escuela Estaci\u00f3n del Metro Faro/Radiofaro/Vor   \n",

        "estacion                                                   \n",

        "1         0.377301           1.269409           8.875996   \n",

        "2         0.400904           1.350651           9.188810   \n",

        "3         0.562313           1.668506           7.852204   \n",

        "4         0.227078           1.043689           9.206566   \n",

        "5         0.143892           1.301119           8.970715   \n",

        "\n",

        "                                                                 \\\n",

        "punto    Instalaci\u00f3n Deportiva o Recreativa Instalaci\u00f3n Diversa   \n",

        "estacion                                                          \n",

        "1                                  2.962652            4.304053   \n",

        "2                                  2.954303            4.608516   \n",

        "3                                  2.636390            3.960566   \n",

        "4                                  2.662107            4.901206   \n",

        "5                                  2.680691            4.650596   \n",

        "\n",

        "                                                                              \\\n",

        "punto    Instalaci\u00f3n de Comunicaci\u00f3n   Mercado Palacio de Gobierno     Plaza   \n",

        "estacion                                                                       \n",

        "1                           5.704439  1.051902            5.932279  2.605677   \n",

        "2                           6.044411  1.077152            5.995982  2.927772   \n",

        "3                           4.738577  0.725894            4.931439  1.593670   \n",

        "4                           6.139645  0.851539            6.178447  2.985691   \n",

        "5                           5.876588  0.788220            5.973495  2.731533   \n",

        "\n",

        "                                                                          \n",

        "punto         Pozo Rasgo Arqueol\u00f3gico    Tanque Tanque de Agua    Templo  \n",

        "estacion                                                                  \n",

        "1         7.876861           8.585245  5.098840      10.297686  0.148498  \n",

        "2         7.793003           8.913177  4.814174      10.102608  0.254115  \n",

        "3         8.670100           7.580664  5.573361      10.291075  0.859971  \n",

        "4         8.057153           8.967105  4.503313       9.758812  0.412524  \n",

        "5         8.082563           8.717246  4.748064       9.937960  0.386782  "

       ]

      }

     ],

     "prompt_number": 13

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "res = pd.concat([a1,b],axis=1)\n",

      "norm_res = normalizeColumns(res)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 14

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "norm_res.head()"

     ],

     "language": "python",

     "metadata": {},

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        "    </tr>\n",

        "    <tr>\n",

        "      <th>station_arrived</th>\n",

        "      <th></th>\n",

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        "      <th></th>\n",

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        "                      0         1         2         3         4     5    \\\n",

        "station_arrived                                                           \n",

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        "\n",

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        "\n",

        "                      99        100       101       102       103       104  \\\n",

        "station_arrived                                                               \n",

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        "2                0.700258  1.000000  0.781579  0.891463  0.000000  0.755581   \n",

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        "\n",

        "                      105       106       107  \n",

        "station_arrived                                \n",

        "1                0.526755  0.810862  0.130804  \n",

        "2                0.475910  0.758467  0.252725  \n",

        "3                0.611510  0.809086  0.952102  \n",

        "4                0.420386  0.666130  0.435586  \n",

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        "\n",

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      }

     ],

     "prompt_number": 15

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Dejando al final un conjunto de 108 caracter\u00edsticas para cada estaci\u00f3n observada. Los siguiente que se propone en este experimento es el plantear un m\u00e9todo para encontrar similitudes entre los conjuntos de datos de las estaciones mediante t\u00e9cnicas de clustering."

     ]

    },

    {

     "cell_type": "heading",

     "level": 1,

     "metadata": {},

     "source": [

      "Consensus clustering"

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Una de las ramas del aprendizaje automatizado es el aprendizaje no supervisado, \u00e9ste consiste en buscar una relaci\u00f3n entre las observaciones que se tienen estableciendo una medida similitud entre sus caracter\u00edsticas representativas para dicho conjunto.\n",

      "El problema impl\u00edcito que se tiene cuando se est\u00e1 trabajando con este tipo de t\u00e9cnicas es que, a diferencia de las que tienen un objetivo o un resultado esperado, estas no disponen de una etiqueta para catalogar y/o evaluar la calidad del clustering realizado. Diferentes t\u00e9cnicas de clustering se han desarrollado para abordar este problema, tales como medir la compacidad de los clusters minimizando la distancia de los elementos agrupados un mismo cluster maximizando la distancia entre las agrupaciones.\n",

      "Otro problema que se sucita al realizar esta t\u00e9cnica es el determinar el n\u00famero de clusters ideal, evitando un n\u00famero de clusters mayor que puedan aportar una estructura espuria para el modelo.\n",

      "\n",

      "En este problema en particular tenemos que trabajar con una dificultad extra: Se dispone de un conjunto de datos un alto grado de dimensionalidad (108) caracter\u00edsticas y un bajo n\u00famero de observaciones (90), dicha descripci\u00f3n del problema pone en riesgo a la mayor\u00eda de m\u00e9todos de clustering convencionales de ofrecer descripciones espurias sobre los datos.\n",

      "\n",

      "El m\u00e9todo de clustering por el que se ha optado aqu\u00ed es llamado Consensus Clustering (Monti et al.). Consensus clustering es un m\u00e9todo de clusterizaci\u00f3n que ha ganado popularidad en el campo de gen\u00e9tica debido a la robustez que ha mostrado en agrupaciones con alta dimensionalidad. Este m\u00e9todo consiste en el submuestreo de tanto las observaciones como las caracter\u00edsticas, sobre la hip\u00f3tesis de que los elementos que comparten una similitud entre ellos no deben encontrar una radical diferencia si se reemplazan unas caracter\u00edsticas por otras. Este m\u00e9todo cuenta con una m\u00e9trica de medici\u00f3n de calidad de clustering y decisi\u00f3n del n\u00famero ideal de clusters a partir de una matriz generada durante la iteraci\u00f3n de submuestreo llamada \"Matriz de consenso\", \u00e9sta genera visualizaciones que ilustran el nivel de consenso que existe cuando un elemento es agrupado con un conjunto en particular, donde el consenso es una divisi\u00f3n de la suma del n\u00famero de veces que dos elementos fueron agrupados juntos entre el n\u00famero de veces en que ambos elementos se encontraban presentes en el mismo submuestreo.\n",

      "El resultado es un heatmap donde en el caso ideal los valores solo se representar\u00edan entre 0's (nunca agrupados juntos) y 1's (siempre agrupados juntos). Para m\u00e1s informaci\u00f3n consultar el art\u00edculo relacionado."

     ]

    },

    {

     "cell_type": "heading",

     "level": 3,

     "metadata": {},

     "source": [

      "Especificaciones sobre el clustering:"

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "El siguiente consensus clustering fue realizado con las siguientes especificaciones:\n",

      "- Iteraci\u00f3n de 2 a 20 clusters.\n",

      "- 1000 iteraciones de submuestreo.\n",

      "- 80% de las observaciones seleccionadas (sin reemplazo, esto para asegurar que no se generen agrupaciones sesgadas).\n",

      "- 80% de las caracteristicas submuestreadas.\n",

      "- Clustering jer\u00e1rquico como m\u00e9todo de clustering (Average linkage).\n",

      "- Distancia Euclideana como medida de disimilaridad.\n",

      "\n",

      "A diferencia de otras t\u00e9cnicas de clustering que existen, clustering jer\u00e1rquico es afectado en gran parte por la diferencia en las medidas de sus caracter\u00edsticas, es en parte por eso que se opt\u00f3 en la normalizaci\u00f3n de cada caracter\u00edstica del conjunto de datos, as\u00ed las medidas de similitud est\u00e1n representadas a una escala mejor distribuida.\n",

      "\n",

      "Consensus clustering tiene tiene ciertos criterios para determinar el n\u00famero ideal de clusters a utilizar, tales como CDF (Cumulative Density Function) y el aumento de \u00e1rea relativo obtenido por las diferencias de las CDF de los clusters k al k+1. En este caso en particular a continuaci\u00f3n se ofrecen las ilustraci\u00f3nes:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "from IPython.display import Image\n",

      "Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\CC_20_rep_1000\\consensus_cdf.PNG') "

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "pyout",

       "png": 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oTNE+QqaBkin8dS+kTApNyV3eOOQDCTQRDEtFp2UHKflMCaCJXbIENA6ELw7L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Rh3u7WZqzDe4+9jkkhQglqEeHgNazCEEFO4WSIaiGBK8IrEzazguEdQmcB6QQrJ/iGG7CKc1XNI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       "prompt_number": 16,

       "text": [

        "<IPython.core.display.Image at 0x464564e0>"

       ]

      }

     ],

     "prompt_number": 16

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\CC_20_rep_1000\\delta_area.PNG') "

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "pyout",

       "png": 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4pn/EAACAdhOOZEI4bpxwBAAgKz0cjnNxaexEjI6Ormv55tilMNtj8wjHjROO\nAABkpYfD0clxspS2KRtz6tSpajwCAEC7ddP79w0+k/fj5vSFmJycXGF5M85P/DhOHX0++rc/HS+W\nfhqT0zfN9dhEwnHj0mijcAQAIAs9HI7rMR8XX342tu3+Wvxs5v3aOppBOG6ccAQAICvCcQ3lG+Mx\nvK0YO4+e8xnHJhKOG3fmzJkYGBioXQIAgPYRjmuZm4iRvkIU9pRieqm2ji0TjhuXJv+33QAAyIJw\nbOiDmJ34SuyobKTic6fjSrm2mi0TQBsnHAEAyEoPh+NCXD3/k+rnxlZe/jFePf6l2Lu9WNlIH4t9\npUtxv3ZPtk4AbVw9HO/evVtbAwAA7dHD4bje6Tj6YmD4tZheMNzYTGnbsnFpu6WABACAduqm9+8b\nfCZrjThWlvGJ+PWlmdCMzSccN0c4AgCQhR4OR7IkHDdHOAIAkAXhGEuxcHM6fj11fdlnGMtxf/r1\n+Pro92NietbE/y0gHDfn4MGD1dFwAABopx4Px/djZuK/xTPpBDgPTbexGDfGD8W2ysYpFD8Rw6/+\nLuYdrtpUwnFzDh8+LBwBAGi7Hg7HctyZOhFPFVMcPhkHRv85rtyv12E5Fm/9Ic796OvxbH8lKouf\njONTc7XraAbhuDnCEQCALPRwON6K80cHKxtgVwyPvb3K4aj1eRyLsfPoubhTW8vWCcfNOXnyZBw7\ndqx2CQAA2qN3w3HpcpT29EVh26EYv9HgU4xzEzHSV3jkUFa2SjhuThptTKOOAADQTsKx70hMzDUo\nQuHYEsJxc4QjAABZ6N1wfHCo6pPx5YkbsfK5bxyq2irCcXPOnDkT+/btq10CAID26OFwXHZynP6D\n8d1z/xbzi8vycXEurpw/FS8OPuHkOC0gHDcnzeFo2wEA0G49HI4V5dtxsfTZ6K9shLQhCtsHY//Q\nUAwNfSoG0xQd1fV/HgdKpuNoNvGzOcIRAIAs9HY4JuU7MTM5FqPDe2J7NRTrS3/sHv5mjE1ejwXR\n2HTiZ3Pq4Xj37t3aGgAAaD3huNzifNycmYmZmRtxa8GZcFpJOG5e2nYpIAEAoF2EI5kQjpsnHAEA\naDfhSCaE4+YJRwAA2k04kgnhuHkHDx6szucIAADtIhzJhHDcvMOHDwtHAADaSjiSCeG4ecIRAIB2\nE45kQjhu3smTJ+PYsWO1SwAA0Hq9E46LN2N6cjImf3fVZP45IBw3L402plFHAABol94Jx7mJGOkr\nRGFPKaZN0Zg54bh5whEAgHYTjrFUuepI9BX6Yk/pcuUS7SAcN+/MmTOxb9++2iUAAGg94SgcMyEc\nNy/N4Wj7AQDQTsJROGZC+GyecAQAoN2Eo3DMhPDZvHo43r17t7YGAABaSzgKx0wIx61J2y8FJAAA\ntINwFI6ZEI5bIxwBAGgn4SgcMyEct0Y4AgDQTr0XjtsHY//QUAwtWz69d1cUC8XYPviph9YvX154\neTLu1L4UWycctyZNx5HmcwQAgHbovXCsPOHNLH0jEzFX+1JsXdqmbN7hw4eFIwAAbdNN798bP5Py\nQtx6ZyZmZja3vHNrIcq1L8XWCcetEY4AALRT74QjuSIct+bYsWNx8uTJ2iUAAGgt4UgmhOPWpNHG\nNOoIAADt0LPhWF54N6bP///j+y+PxkuHXqidBOeFOPTSaLx8eiKmrs7FYu22NJ9w3BrhCABAO/Ve\nOJb/I65MnIgDA33VJ7/6siP2jrwS52fer92RZkrbmM1L4Xjw4MHaJQAAaK1uev++jmcyH9Ovfi76\nUxgWn4yhr5Vi/JeTcent67WT4FyJ6anz8bPT344X9+6obpzi7q/Fz8Rj0wnHrUlzONqGAAC0Sw+F\nYznuTJ2Ip4qVaOz/bJSm/tT4UNTFP8VU6bPVyCzuK8X0fedUbSbRszXCEQCAduqhcLwV548OVp7w\nrvj8+NX1Ta1Rvhrjn99Vuc/eOD41X1tJM4ierRGOAAC0U++E49LlKO3pi0LfkZiYW6qtXMti3Bg/\nFNsKfbGndDnWey/WJnq25u7du9VtmAISAABarXfCcW4iRvoKUdhTiukNFODSdCn2VDZS38hEzNXW\nsXXCceuEIwAA7SIc1yAcW0M4bp1wBACgXYTjGoRjawjHrdu3b1+cOXOmdgkAAFpHOK5BOLaGcNy6\nw4cPV+dzBACAVhOOaxCOrSEct044AgDQLr0XjtsHY//QUAytd9k/GNuFY9MJx607duxYnDx5snYJ\nAABap/fCsfKEN7MIx+ZK25StSaONadQRAABarZvevzd+JuWFuPXOTMzMbG5559ZClGtfiq0Tjlsn\nHAEAaJfeCUdyRThuXQrHgwcP1i4BAEDr9Gg4LsXCzKX47dtzK4wi3o+ZM/9nHDv107h08/3aOppN\nOG5dmsPRdgQAoB16LxwXr8cvjh+MgWIxdh49F3dqqx8oX4/x4Z3VDVPY/v+Jr75+OeYdo9p0gmfr\nhCMAAO3SW+G4eCXGX/x4LQqfiRdLb8Z7j0Xh/bj11rn40egLlbhMJ8b58/jM6f9dWUszCZ6tE44A\nALRLD4XjnXjr9Oejv1CM/gN/F2++u9ZhqPfjvalSHOgvRqH/83H6rcfGJtkCwbN1d+/erW7HFJAA\nANBKvROO9y9Fad/HolB8PkrT643AuZg6/skoFj4W+0qXjDo2kXBsDuEIAEA79Ew4lm+Mx/C2QhSf\nOx1XNvCZxaW3Xo1PFguxbXg8bvisY9MIx+YQjgAAtEPPhOPSdCn2VJ7shifyn5uIkb5CFPaUYnqp\nto4tE47NsW/fvjhz5kztEgAAtEbvjDheOR3PFYVjXgjH5jh8+HB1PkcAAGilngnHuHMuju4sRuHJ\nEzF1b73HnJbj3tSJeHIzI5U0JBybQzgCANAOvROOcSvOHx2sPOEn48sTN1aY+H8F5Rsx8eUnK/fZ\nGcPj19d3H9ZFODbHsWPH4uTJk7VLAADQGj0UjuW4P12KfcVCFHf/l3jjyn80DsHyf8SVN/5L7K7e\n/htx7r0PalfQDMKxOdJoYxp1BACAVuqhcEzqczkWorB9X4x898fxq4t/jHfnF2vXL8b8u3+Mi7/6\ncXx3ZF9sT7fr/2yULt422thkwrE5hCMAAO3QY+FYkUYSJ74Vz6aJ/VMYrrr0xcCBb8cbb82JxhZI\n25itS+F48ODB2iUAAGiNbnr/voFnUo7FW3+I8+OlOHpoKPbu6qvFYn8MPvvF+Op3fhgTv5uJBcXY\nMsKxOS5cuGBbAgDQcj0ajmRN7DRHmvzftgQAoNWEI5kQO80hHAEAaAfhSCbETnPMzs5Wt2UKSAAA\naBXhSCaEY/MIRwAAWk04kgnh2DzCEQCAVhOOZEI4Ns/AwECcPXu2dgkAAJpPOJIJ4dg8hw8frs7n\nCAAArdLD4fhBvDf10/jJ+T/ErUUTNrabcGwe4QgAQKv1bjiWr8f48M4oFJ+P0vSd2kraRTg2TwrH\nU6dO1S4BAEDz9W44Ll2O0p6+KPQdiYm5pdpK2kU4Nk8abUzxCAAArdK74Rh34q3Tn4/+wsfjxfEr\nsVhbS3sIx+YRjgAAtFoPh+NSLLz7Zrz64tOxvdAfuz/3Uny79Fr1TfhKy+vnr8b92j3ZOuHYPGn/\nFI4AALRSD4fjzZgY2VXdAOtZ+kYmYq52T7YubVOa48KFC7YnAAAt1U3vNzf4TBbi6vmfPDayuNpi\nxLG5hE7zpMn/bU8AAFqph8ORLAmd5hGOAAC0mnCsKy/Ee3+8FJOTk/G7q/NRTp+BnL/jpDktInSa\nZ3Z2tro9r127VlsDAADNJRzLt2N6fDQODPRVN0ah0Bd7Spdjqfx2nH7uz2LwxX+Iqfc6+CDVShDf\nemcmZm7O5yqChWNzpe2ZRh4BAKAVejscK9F4sfTZ6K9shOKu/fGFocEo1sPx3u+j9MkdlQ1UjP4D\n34/phXLtTvlTXng3/vfUZExeuhbzi7XH+VgQF2P73i9H6X/9IeZz8FSEY3MJRwAAWqmHw/GDeO/c\nN2J3MYXhK3FxfjHmJo5EXz0cK7coL0zHD4fTmVd3xGfGrkT+0vH9mPnF38Sz/cXqC1mNw2f+W0zM\n3I4rY4eqQVwo9Mfg/k/Hp/fuqkRxuvzncaD0u8zjUTg218DAQJw9e7Z2CQAAmquHw/FP8cuXPlHZ\nAE/H6OTtyuWlx8Kxko5xb+pEPFnZSNuGx+NGrsqxHHcqj+2pYiUGi0/G0Ff+a3zjpc/G7u3FKP7F\nX8anB/oqQfy9OD9zpxa89+PW9I/jpd1PVG7/yTg+le3kIsKxudI8junsvwAA0Aq9G45Ll6O0py8K\nfUdiYi5l4krhWDE3ESN9lTjbU4rpBytzoDwTb7w4UInAvXHs3M1aHH4Qc2/+TS0mV4rDD2J24iux\no1CMnUfPxZ3a2iwIx+YSjgAAtJJwXCMcyzfGY3hbDsPxzrk4urMYhSdPxNS9ZUOh1ZP6bF/2vB6R\nkxAWjs2VwvHUqVO1SwAA0Fy9G45xK84fHaxsgEaHqt6PmfEvRX8ORuges2oA3oyJkV3Cscek0cYU\njwAA0Ao9HI4ffUaw+MzfxtRjJ8e5H+/9/vsxvKOYi88EPmbpf8ern/xY5bE9H6XpR5O2HIvztz86\nw+oDHx2quuOlX0SWz0g4NpdwBACglXo4HCtWnI6jGP37vxCHh3bH9sr6QuFj8cyJyVxMYfGwO/HW\n6c9/+Nh3fzlOTfwuZhZWG0JMIXk1psZHPzwDq5PjdB3hCABAK/V2OCbluXjrjRMxvLu/ujGWL8WB\nF2J0/HIOo7Fm8VpMHPtULXD3VmJwvnbFI8rXY3x4Z+15mY6jG124cME2BQCgZbrpvebWnkl5IW5d\nm46pycmYnPyXuPT2jRUO9cyh8p2YmfynePk//338avaD2spHzcfUiaF45otfj1d/dSUWcvC0RE5z\npcn/bVMAAFpFOJIJkdNcwhEAgFbqnXC8fzXOvz5W/SzYZpbXz1+N+7UvxdaJnOaanZ2tbtNr167V\n1gAAQPP0TjjWp6GoPOHNLH0jE5mehbTbpG1Kc6VtmkYeAQCg2brp/XvjZ7LiiOMP4vihp6snlynu\nejYOH/tOvPqjtP4f49XvvBRDA31RKA7Es1/7+y4ZcazPVZl9CAvH5hOOAAC0Su+E42PKsXhlLIb7\nt0X/gVfi4vzjJ5YpL/whXn/x41Hc/bX42cz7tbWdrDXhmHaizSw0V9qmZ8+erV0CAIDm6ab37xt8\nJrfi/NHBVSbQ/0j5yul4rliMnUfPxeq3YqOEY/OleRzTSDoAADRb74bj0uUo7emLQt+RmJhbbeL8\nivpnI/eUYrrBzdgY4dh8whEAgFbp3XCsT4rfcMSxHHcmvxkfr2ykbcPjcaMDpnWMxfm4OTMTM/Xl\n5nws1q7KE+HYfCkcT506VbsEAADN07vhGPdjZvxL0V8oRv+B78X5mTuVTFxuKRau/M/46u4nKhtp\nIF58Y+aR6/Oi8jhnfhs/KR2LLz6zK4qVFzS9qA8v/TE4NBKjr/40Lt3Mx2c1u2nHy4sUjSkeAQCg\n2brp/fvGn8nitfjZV//iw9gq7oq9nx2Jo6OjMTr6tRgZ2l0922qh8ETs/upPY2Yxh9lYvh0XX/1i\nDBSXReL2wdg/NBRD9eXTe2PXQ9d/Ko5NXMt8FLKbdry8SIepCkcAAFqhm96/b+6ZLP4/MXn62IdT\nb9TjqroUY/vuz8fof/99vJfHaKyk3403vhw70mPt/0wcf+NC/PG9hVVGRRdjfuZf49xrR2J3isji\ns/HyxfnaddkQjs0nHAEAaBXhWFdeiFvXpmNqcjImJ38X09fei4V8Hpv6ofLbcfq57ZUI3Bejb86u\n8zDahbgydqh6eG7WZ4kVjs2XpuIYGBioXQIAgOYRjp2qfrbXJ0/E1L31F275xngMb6vcL+OzxArH\n5kuT/9uuAAC0Qs+HY3nheky+8YN4ufrZxtWXb45dytc8jnfOxdGdReHIA8IRAIBW6elwLL/78/jr\n6llTKyG1xtI3MhFztfvlwoPpRPbGsXM313eoavlWTJ3YH0WHqnala9euVbfr7OxsbQ0AADRHN71/\n3+Az+Y+4+PKnqmdULQ6+GN8Z+1mcr36+cZVl+mbO5kP8IObe/Jt4qnqym6fi0Ms/jl9dfDtm3rn1\n8Gcz02c337kS05P/HK8dfT76K8+30P/5OP1WtuOnwrE10nZNI48AANBMvRuO9ZPLFJ6O0cnbtZWd\n5v2Y+cWJOPDYGWFXX4qDh+P0pduZz0mZHgvNl7arcAQAoNm66f37xp7J0uUo7akEV9+RmJjL8MN+\nTVD/nOZ3vnooDjw2b+Ng7D9wKF769isxfn46bi7k47kKx9ZI2/XChQu1SwAA0By9G45xK84fHYxC\n8YU4feVebR3tIhxbI83jmOZzBACAZurhcCzH4r+Px4s7PhZPjf465rI+drPHCMfWEI4AALRCD4fj\nQlw9/6N4eWRfbC/0xcDQf4pvl16rvuleaXn9/NW4X7snWyccW0M4AgDQCj0cjjdjYmRXdQOsZ8nd\ndBwdLm1Tmu/UqVPVeAQAgGbqpvfvG3wmacTxJ4+NLK62GHFsLuHYGmlfFY4AADRbD4cjWRKOrSEc\nAQBoBeFIJoRja5w9ezYGBgZqlwAAoDl6OBzn4tLYiRgdHV3X8s2xS3Gndk+2Tji2Rpr837YFAKDZ\nejgcnRwnS2mb0nzCEQCAVuim95gbfCbvx83pCzE5ObnC8macn/hxnDr6fPRvfzpeLP00JqdvxmLt\nnmyduGmNa9euVbft7OxsbQ0AAGxdD4fjeszHxZefjW27vxY/m3m/to5mEI6tk7ZtGnkEAIBmEY5r\nKN8Yj+Ftxdh59JzPODaRcGwd4QgAQLMJx7XMTcRIXyEKe0oxvVRbx5YJx9ZJ2/bChQu1SwAAsHXC\nsaEPYnbiK7GjspGKz52OK+XaarZMOLZOmscxzecIAADN0sPhuBBXz/+k+gZ75eUf49XjX4q924uV\njfSx2Fe6FPdr92TrhGPrCEcAAJqth8NxvdNx9MXA8GsxvWC4sZnStqU1hCMAAM3WTe/fN/hM1hpx\nrCzjE/HrSzOhGZtPOLbOqVOnqvEIAADN0sPhSJaEY+ukf/QQjgAANJNwJBPCsXWEIwAAzSYcyYRw\nbJ0zZ87EwMBA7RIAAGydcCQTwrF10uT/ti8AAM0kHMmEsGkd4QgAQLMJRzIhbFqnHo6zs7O1NQAA\nsDXCkUwIx9ZK2zcFJAAANINwXJf7cfvm7VisXWLrhGNrCUcAAJqpx8OxHIu3puOXY6U4Pjoaoyss\n33jpUAzt3RVPjEzEXO1ebJ1wbC3hCABAM/V0OJbf/Xn89e4nqhuh8fJEPHX8t3Gndj+2Lm1XWufg\nwYPV+RwBAKAZuun9+wafyZ2YLj0fxcoGKA7+VXz71dfi70eerlx+InaPfC9+dPrv4mtDT1Yu74xn\nv/svMV+u3Y2mEI6tdfjwYeEIAEDT9G44lq/H+PDOygZ4OkYnb6cVcW/qRDxZKMbOo+c+HF1cfDvG\nhndFYcdXYmL2g7SGJhGOrSUcAQBopt4Nx6XLUdrTF4W+IzExt/ThurmJGOkrRPG503GlOsJYjjuT\n34yPFz4W+0qX4n71RjSDcGytkydPxrFjx2qXAABga4Tj8nC8dyGOP7ktCk+eiKl7tWNTH4tJmkE4\ntlYabUyjjgAA0Ay9G45xK84fHaxsgL1xfGr+w1X1w1e3HYrxG7XJN2rhWNhTiulaX7J1wrG1hCMA\nAM3Uw+H4QcxOfCV2FIrR/+zXY2zyeiyU52Pq+N7KRtkVw2Nvx+KD2xRi2/B43DDi2DTCsbXOnDkT\n+/btq10CAICt6eFwrFi8Fj/76l9Uz6xaPzz1/lun4zP9xSgUd8Xev9wbu4ppOo6BePGNmdCNzSMc\nWyvN4WgbAwDQLL0djsnin+LSG6X4+nfPxmy1DN+PmXPfi88N9FU3TqH4iRh+9Xem42gyUdNawhEA\ngGYSjqtZnI+bMzfi1oIPNraCqGmtejjevXu3tgYAADZPONaVF+K9P16KycnJ+N3V+SjHUizM34na\nKXJoMuHYemkbp4AEAICtEo7l2zE9PhoH6oemFvpiT+lyLJXfjtPP/VkMvvgPMfWeGRybTTi2nnAE\nAKBZejscK9F4sfTZ6K9shOKu/fGFocEo1sPx3u+j9MkdlQ1UjP4D34/pBR9ybCbh2HrCEQCAZunh\ncPwg3jv3jdhdTGH4SlycX4y5iSPRVw/Hyi3KC9Pxw+FdlY20Iz4zdsVZVZtIOLbewYMHq/M5AgDA\nVvVwOP4pfvnSJyob4OkYnbxdubz0WDhW0jHuTZ2IJysbyTyOzSUcW+/w4cPCEQCApujdcFy6HKU9\nfVHoOxITcykTVwrHirmJGOkrRGFPKaadYLVphGPrCUcAAJpFOK4RjuUb4zG8TTg2m3BsvZMnT8ax\nY8dqlwAAYPN6NxzjVpw/OljZAI0OVb0fM+Nfiv5CMXYePRd3qutoBuHYemm0MY06AgDAVvVwOJbj\nztSJeKpYiOIzfxtTj50c53689/vvx/COYhSKn4zjU3O1+9EMwrH1hCMAAM3Sw+FYseJ0HMXo3/+F\nODy0O7ZX1hcKH4tnTkzGvBPjNJVwbL0zZ87Evn37apcAAGDzejsck/JcvPXGiRje3V/dGMuX4sAL\nMTp+WTS2QDfteHmV5nC0nQEAaIZuel+5tWdSXohb16ZjanIyJif/JS69fSPmFxVjqwia1hOOAAA0\nSw+H4wfx3tRP4yfn/xC3BGLbCZrWq4fj3bt3a2sAAGBzejccy9djfHhnFIrPR2na+VLbTTi2R9rO\nKSABAGArejccH5vHkXYSju0hHAEAaIbeDce4E2+d/nz0Fz4eL45ficXaWtpDOLaHcAQAoBl6OByX\nYuHdN+PVF5+O7YX+2P25l+Lbpdeqc9+ttLx+/mrcr92TrROO7ZGm40j7LwAAbEUPh+PNmBjZVd0A\n61n6RiZirnZPti5tU1rv8OHDwhEAgC3rpvfvG3wmC3H1/E8eGlVstBhxbC7h2B7CEQCAZujhcCRL\nwrE9jh07Vl0AAGArhOO63I/bN287gU4TCcf2SKONadQRAAC2osfDsRyLt6bjl2OlOD46GqMrLN94\n6VAM7d0VT/iMY1MJx/YQjgAANENPh2P53Z/HX+9+oroRGi9PxFPHfxt3avdj69J2pfVSOB48eLB2\nCQAANqeb3r9v8JncienS81GsbIDi4F/Ft199Lf5+5OnK5Sdi98j34ken/y6+NvRk5fLOePa7/xLz\n5drdaArh2B5pDkfbGgCArerdcCxfj/HhnZUN8HSMTt5OK+Le1Il4slCMnUfPfTi6uPh2jA3visKO\nr8TE7AdpDU0iZtpDOAIA0Ay9G45Ll6O0py8KfUdiYm7pw3VzEzHSV4jic6fjSnWEsRx3Jr8ZHy98\nLPaVLpmOo4nETHsIRwAAmkE4Lg/Hexfi+JPbovDkiZi6Vzs29bGYpBnETHvcvXu3uq1TQAIAwGb1\nbjjGrTh/dLCyAfbG8an5D1fVD1/ddijGb9Qm36iFY2FPKaZrfcnWCcf2EY4AAGxVD4fjBzE78ZXY\nUShG/7Nfj7HJ67FQno+p43srG2VXDI+9HYsPblOIbcPjccOIY9MIx/YRjgAAbFUPh2PF4rX42Vf/\nonpm1frhqfffOh2f6S9Gobgr9v7l3thVTNNxDMSLb8yEbmwe4dg++/btizNnztQuAQDAxvV2OCaL\nf4pLb5Ti6989G7PVMnw/Zs59Lz430FfdOIXiJ2L41d+ZjqPJhGP7HD58uDqfIwAAbJZwXM3ifNyc\nuRG3FnywsRWEY/sIRwAAtko4kgnh2D7Hjh2LkydP1i4BAMDGCUcyIRzbJ402plFHAADYLOFIJoRj\n+whHAAC2SjiSCeHYPikcDx48WLsEAAAbJxzJhHBsnzSHo+0NAMBWCEcyIWTaRzgCALBVwpFMCJn2\nEY4AAGxVz4djeeF6TL7xg3h5dDRGGyzfHLsUd2r3YeuETPvcvXu3ur1TQAIAwGb0dDiW3/15/PXu\nJ6obYa2lb2Qi5mr3Y+vSNqV90vYWjgAAbFY3vX/f4DP5j7j48qeiWNkAxcEX4ztjP4vzk5Mxudoy\nfTMWa/dk64RjewlHAAC2onfDsfx2nH5ue2UDPB2jk7drK2kX4dhe+/btizNnztQuAQDAxvRuOC5d\njtKevij0HYmJuaXaStpFOLbX4cOHq/M5AgDAZvRuOMatOH90MArFF+L0lXu1dbSLcGwv4QgAwFb0\ncDiWY/Hfx+PFHR+Lp0Z/HXPl2mraQji217Fjx+LkyZO1SwAAsDE9HI4LcfX8j+LlkX2xvdAXA0P/\nKb5deq06KrPS8vr5q3G/dk+2Tji2V9qH06gjAABsRg+H482YGNlV3QDrWUzH0Vxpm9I+whEAgK3o\npvfvG3wmacTxJw+NKjZajDg2l3Bsr7QPHzx4sHYJAAA2pofDkSwJx/a6cOGCbQ4AwKYJRzIhYtor\nTf5vmwMAsFm9E473r8b518di7PVfx9X76RSqDlXNkohpL+EIAMBW9E44zk3ESF9h2YT/To6TpbRN\naZ/Z2dnqNk8BCQAAG9VN798bPxMjjrkiHNtPOAIAsFm9E47kinBsP+EIAMBmCUcyIRzbb2BgIM6e\nPVu7BAAA6yccyYRwbL/Dhw9XD7sGAICNEo5kQji2n3AEAGCzhCOZEI7tl8Lx1KlTtUsAALB+wpFM\nCMf2S6ONKR4BAGCjhCOZEI7tJxwBANgs4VhXXoj3/ngpJicn43dX56McS7EwfycWa1fTXMKx/YQj\nAACbJRzLt2N6fDQODPRVN0ah0Bd7Spdjqfx2nH7uz2LwxX+IqfdyPPX/4mxMT3w/RkeGY2hoOEZG\n/6/4yeT1WCjXrn/IUsxNHIm+yvPsG5mIudraLAjH9rtw4YLtDgDApvR2OFai8WLps9Ff2QjFXfvj\nC0ODUayH473fR+mTOyobqBj9B74f0yuXWLYWr8XPvvoXlcecgnf5siOeOfo/4q35D2o3rBOOvSxN\n/m+7AwCwGd30PnKDz+SDeO/cN2J3MYXhK3FxfrEWVbVwrNyivDAdPxzeVQ2xz4xdiXyl45146/Tn\nP4ze3Ufi9Jt/iJmZt2LqzN/FocEnKo+5/ryWx6Nw7GXCEQCAzerhcPxT/PKlT1Q2wNMxOnm7crke\nVR+FYyUd497UiXiyspG2DY/HjTyV49L/jlc/+bEoFJ+P0vSd2soPled/F6UDf/5hPH7mdLx1v/7A\nhWMvm52drW73a9eu1dYAAMD69G44Ll2O0p6+KPQdiYm5lIkrhWPF3ESM9BWisKcU0w9W5sAaj+uj\neHwidv/1z+PdajsKx16XtnsaeQQAgI0QjmuEY/nGeAxv67xwTMrv/jz+enc6bPXP4zOn/3fcF449\nTzgCALAZvRuOcSvOHx2sbIBGh6rej5nxL0V/oRg7j56Lhw8IzViDQ1U/Uo77b52Oz/QXK7f7i/jq\nz67En4RjTxsYGIizZ8/WLgEAwPr0cDiW487UiXiqWIjiM38bU4+dHOd+vPf778fwjhRdn4zjU1lm\n1kruxHTp+ShWT4LzvTh3ZW6VOSfrJwEqVJ7HnvjCFz8Z24Rjz0rzOKb5HAEAYCN6OBwrVpyOoxJi\n+78Qh4d2x/bK+kLhY/HMicmYz+FsHLFwKV6tfo4xPc5t8eTxC3GvdtXD3o+ZX/xNPJtGHqu3FY69\nSjgCALAZvR2OSXku3nrjRAzv7n8QVfWlOPBCjI5fzmc01pQXrsfk2Lfi0DN74vPj1xtMGfJBzL89\nES8feroaxMKxN6VwPHXqVO0SAACsTze9f9/aMykvxK1r0zE1ORmTk/8Sl96+EfOLOS7GTVuM+auX\n4rfTN1c5tLU9hGM20mhjikcAANgI4UgmhGM2hCMAAJvRw+E4F5fGTsTo6Oiay/HSa5U33K/H+MSv\n49LMnQaHg7JewjEbwhEAgM3o4XC8GRMju6obYENL8RMx/Orvcv25x06QtiXtd+HCBdseAIAN66b3\nkBt8Ju/HzelzMXb0U7G9UIzte78Ux1/9x3j9jZ/Fz8bH4vTf/5cYGuirbKAd8czXTsV/f30sfnTq\nv8aB6rpdMTz2dqafEdyc+lyVzT05zoOo3uBC+6XJ/217AAA2qpveQ27wmZRjYfr7caB/W+x4cTz+\nfYUT4ZTnfxelNN1F/6EYu7KQ1sT96VLsS3M/7vluXLzXacOOrQnHzRAv2RCOAABsRu+GY/lGTHz5\nySgUX4jTV1ae/TCF4p3zX4+dy+dILF+P8eGda9yPtYiXbMzOzla3/bVr12prAABgbb0bjkuXo7Sn\nLwp9R2Jibqm28nFL06XYU9lIH43Q1T8buT9K02kUks0QjtlJ2z6NPAIAwHr1bjjWRw4LT8fo5O3a\nykfdj38f+3xse2jE8e04/dz2/I44Ls7HzZmZmKkvN+dz+VlM4Zgd4QgAwEb1bjhWonBm/EvRX9kA\nxd1/Hf99evbhwCrfiZnz34sD/cVKJH4qXr74H5Uom4srP/uv8VT6jOO+Ukzfz8NnHJdiYea38ZPS\nsfjiM7uiWHk+6UV9eOmPwaGRGH31p3Hp5vu1+2Wrm3a8TpO2/dmzZ2uXAABgbd30/n3jz2TxWvzs\nq39Ri62+2LX3+RgaGqosn479g/3VjVMo/HkcKKXpN+qfd0zrPh5feuPfs5/PsXw7Lr76xRiohOyH\nj7WybB+M/dXnUFs+vTd2PXT9p+LYxLXMRyHTYyEbaR7HNJ8jAACsVze9f9/cM1mcjemJUnxl/8Aj\no3X9sXv4mzE2daMWWYvx7sRoHPjcX0fpV1diIfNqXIwbb3w5dqTH2v+ZOP7GhfjjewurxOxizM/8\na5x77UjsThFZfDZevjhfuy4bwjE7whEAgI0Sjg8sxcKtG7XPBr4TN+dzPkvjg89a7ovRN2fXOfq5\nEFfGDkV/oRg7j56LO7W1WRCO2UnheOrUqdolAABYm3DsVHMTMdJXiMKTJ2JqA/NJlm+Mx/C2yv32\nlGJ69ZPJtpxwzE6KxhSPAACwXj0fjuWF6zH5xg/i5dHRGG2wfHPsUqYjdI+5cy6O7iwKRzYsHaYq\nHAEA2IieDsfyuz+Pv979RHUjrLV8NI9jTtSnEynujWPnbq7vUNXyrZg6sT+KDlXtacIRAICN6qb3\n7xt8Jv8RF1/+VPWEOMXBF+M7Yz+L85OTMbnaMn0z8zORPuyDmHvzb6pTgxSKT8Whl38cv7r4dsy8\nc+vhE/eUF+LWO1dievKf47Wjz1enHyn0fz5Ov5Xt+KlwzE6aimNgYKB2CQAA1ta74Vg/uUzh6Rid\nvF1b2Wnej5lfnIgDA33VF3I9S3HwcJy+dDvzqUTSYyEbafJ/2x8AgI3opvePG3smS5ejtKcSXH1H\nYmIuww/7NUH9c5rf+eqhOPDYvI2Dsf/AoXjp26/E+PnpuLmQj+cqXLIjHAEA2KjeDce4FeePDkah\n+EKcvnKvto52ES7ZuXbtWnX7z87O1tYAAEBjPRyO5Vj89/F4ccfH4qnRX8dc1sdu9hjhmK20/dPI\nIwAArEcPh+NCXD3/o3h5ZF9sL/TFwNB/im+XXquecXKl5fXzV+N+7Z5snXDMlnAEAGAjejgcb8bE\nyK7qBljPkrvpODpc2qZkJ23/Cxcu1C4BAEBj3fT+fYPPJI04/mTF0cWVFiOOzSUcs5XmcUz7NQAA\nrEcPhyNZEo7ZEo4AAGyEcFyX+3H75u1YrF1i64RjtoQjAAAb0ePhWI7FW9Pxy7FSHB8djdEVlm+8\ndCiG9u6KJ3zGsamEY7ZOnTpVjUcAAFiPng7H8rs/j7/e/UR1IzRenoinjv827tTux9al7Up20mij\ncAQAYL266f37Bp/JnZguPR/FygYoDv5VfPvV1+LvR56uXH4ido98L350+u/ia0NPVi7vjGe/+y8x\nb57HphKO2RKOAABsRO+GY/l6jA/vrGyAp2N08nZaEfemTsSThWLsPHruw9HFxbdjbHhXFHZ8JSZm\nP0hraBLhmK2zZ8/GwMBA7RIAADTWu+G4dDlKe/qi0HckJuaWPlw3NxEjfYUoPnc6rlRHGMtxZ/Kb\n8fHCx2Jf6ZLpOJpIOGYrTf7vNQAAYL2E4/JwvHchjj+5LQpPnoipe7VjUx+LSZpBtGRLOAIAsBG9\nG45xK84fHaxsgL1xfGr+w1X1w1e3HYrxG7XJN2rhWNhTiulaX7J1oiVb165dq74Gs7OztTUAALC6\nHg7HD2J24iuxo1CM/me/HmOT12OhPB9Tx/dWNsquGB57OxYf3KYQ24bH44YRx6YRjtlLr0EaeQQA\ngLX0cDhWLF6Ln331L6pnVq0fnnr/rdPxmf5iFIq7Yu9f7o1dxTQdx0C8+MZM6MbmEY7ZE44AAKxX\nb4djsvinuPRGKb7+3bMxWy3D92Pm3PficwN91Y1TKH4ihl/9nek4mkw4Zi+9BhcuXKhdAgCA1QnH\n1SzOx82ZG3FrwQcbW0E4Zi/N45jmcwQAgLUIRzIhHLMnHAEAWK+eD8fywvWYPPP/i9Lx0RgdXX35\n5tiluFO7D1snHLMnHAEAWK+eDsfye+di9Jkd1Y2w1tI3MhFztfuxdWmbkq1Tp05V4xEAANbSTe/f\nN/hM/iMuvvyp6hlVi4Mvxsvjv4g3JydjcrVl+mbUZnakCYRj9tJoo3AEAGA9ejccy2/H6ee2R6H4\nyTg+ZSyx3YRj9oQjAADr1bvhuHQ5Snv6otB3JCbmnDm13YRj9s6cORMDAwO1SwAAsLreDce4FeeP\nDkah+EKcvnKvto52EY7ZS5P/ex0AAFiPHg7Hciz++3i8uONjsfvoz+PdRTP8t5NgyZ5wBABgvXon\nHO9fjfOvj1U/1/XR8oM4fujp2F7oi4Gh/xTfLr32yPUfLa+fvxr3a1+KrRMs2auH4+zsbG0NAACs\nrHfCcW4iRvpWnmpjPYvpOJorbVOyl16HFJAAANBIN71/b/xMVhxxXP9ixLG5hGM+CEcAANajd8KR\nXBGO+SAcAQBYD+EYS7Fwczp+PXV92YhiOe5Pvx5fH/1+TEzPmvi/BYRjPhw8eLA6og4AAI30eDi+\nHzMT/y2e2V6Mwp5STD+YznExbowfim2VjVMofiKGX/1dzDvpalMJx3w4fPiwcAQAYE09HI7luDN1\nIp4qpjh8Mg6M/nNcuV+vw3Is3vpDnPvR1+PZ/kpUFj8Zx6ecGqeZhGM+CEcAANajh8PxVpw/OljZ\nALtieOztVQ5H/SBmJ74SOwrF2Hn0XNyprWXrhGM+nDx5Mo4dO1a7BAAAK+vdcFy6HKU9fVHYdijG\nbzT4FGN9Go+HDmVlq4RjPqTRxjTqCAAAjQjHviMxMdegCIVjSwjHfBCOAACsR++G44NDVZ+ML0/c\niJXPfeNQ1VYRjvlw5syZ2LdvX+0SAACsrIfDcdnJcfoPxnfP/VvMLy7Lx8W5uHL+VLw4+IST47SA\ncMyHNIej1wIAgLX0cDhWlG/HxdJno7+yEdKGKGwfjP1DQzE09KkYTFN0VNf/eRwomY6j2cRKPghH\nAADWo7fDMSnfiZnJsRgd3hPbq6FYX/pj9/A3Y2zyeiyIxqYTK/lQD8e7d+/W1gAAwOOE43KL83Fz\nZiZmZm7ErQVnwmkl4Zgf6bVIAQkAAKsRjmRCOOaHcAQAYC3CkUwIx/wQjgAArEU4kgnhmB8HDx6s\nzucIAACrEY5kQjjmx+HDh4UjAAANCUcyIRzzQzgCALAW4UgmhGN+nDx5Mo4dO1a7BAAAjxOOdeWF\neO+Pl2JycjJ+d3U+yrEUC/N3YrF2Nc0lHPMjjTamUUcAAFiNcCzfjunx0Tgw0FfdGIVCX+wpXY6l\n8ttx+rk/i8EX/yGm3rtfuzHNIhzzQzgCALCW3g7HSjReLH02+isbobhrf3xhaDCK9XC89/sofXJH\nZQMVo//A92N6oVy7E80gHPPjzJkzsW/fvtolAAB4XA+H4wfx3rlvxO5iCsNX4uL8YsxNHIm+ejhW\nblFemI4fDu+qbKQd8ZmxKyEdm0c45keaw9HrAQBAIz0cjn+KX770icoGeDpGJ29XLi89Fo6VdIx7\nUyfiycpG2jY8HjeUY9MIlfwQjgAArKV3w3HpcpT29EWh70hMzKVMXCkcK+YmYqSvEIU9pZh+sJKt\nEir5UQ/Hu3fv1tYAAMDDhOMa4Vi+MR7D24RjswnHfEmvRwpIAABYSe+GY9yK80cHKxug0aGq92Nm\n/EvRXyjGzqPn4k51Hc0gHPNFOAIA0EgPh2M57kydiKeKhSg+87cx9djJce7He7//fgzvKEah+Mk4\nPjVXux/NIBzzRTgCANBID4djxYrTcRSjf/8X4vDQ7theWV8ofCyeOTEZ806M01TCMV/SdBxpPkcA\nAFhJb4djUp6Lt944EcO7+6sbY/lSHHghRscvi8YW6KYdrxscPnxYOAIAsKpuev++wWdyO6Z++Pdx\nemIqrs4vVgJyIW5dm46pycmYnPyXuPT2jZhfVIytIhzzRTgCANBID4fjzZgYSZP7F6JQHIj9Iydi\n7Nx03Fxw6tR2EI75cuzYseoCAAAr6eFwfD/enfofUTr6udi9vfhhQKZl+5743NFSjJ//Q9wy4tgy\nwjFf0mhjGnUEAICV9HA4fqS8cCMu/eKHcXzk2dhVXPYZx13Pxsjx0zExddVhq00mHPNFOAIA0Ihw\nfEg5FuevxtTEP8To8J7aWVU/XPpGJsKEHM0jHPMlhePBgwdrlwAA4GHCcTULV+OXpSOxf1efcGwB\n4ZgvaQ5HrwkAAKsRjsuVF+Lmpf87Th8feRCMhUIxtu/+XHz9f74V92s3Y+tESr4IRwAAGhGOlRy8\n9davY7x0ND63fC7H7XtiePQffL6xRURKvghHAAAa6eFwXIgrEy/HyP6BKNZjsbAj9r747Tj9i8um\n5WgxkZIvd+/erb4mKSABAOBRPRyO9Xkc+2LX/pE4MXYupm8uhLHF9hCO+SMcAQBYTQ+H43xM/6+f\nxvnpd2NBLbadcMwf4QgAwGp6OBzJknDMn3379sWZM2dql9iIa9euVac0qS9nz56tXQMA0B16Jxzv\nX43zr1fe1L3+67h6Pw0xLsTV8z956M1eo+X181edVbWJhGP+HD58uLqvs37ps6HHjh2r7s9pHsy0\nDdOSLqcQT0EJANANeicc5yZipK8Qhb4jMTGXTnxT/4xj/cQ4jRfzODZX2qbki3DcuBSLAwMDjx3i\nOzs7W92e6TrxCAB0g256/974mRhxzBXhmD9p5OzkyZO1S6wlHY6a9uNGYVgfhQQA6HS9E47kinDM\nn/QPJCJn/dK2Wiu0L1y4UN3X0wgkAEAn6+FwnItLYydidPT/il/ONBhLvPP7ePVLz8VTL/4kbjj7\natMIx/wRjhuT9uEUhmtJt3O2WgCg0/VwONY/47g/StMLtXWPK98Yj+FthSjsKcV0+mgkTSEc8yeF\nYzq0kvURjgBAL+mhcPwgZn/57fjM0FAMVZfnY++uvsoG6I/B/Z+urXt0+XTsH+yvbqRtw+NGHJtI\nOOZPihuvy/o5VBUA6CU9FI4V9y9Fad/Hqk96I0tx4Ivx6sXboRubJ21X8kU4bsxaJ8dJU3U4OQ4A\n0C266X3iOp5JORbn/xQzMzOV5VKMHfrzygb4ZBw//2+1dSss79yKBcXYdAIlf4TjxpmOAwDoFT0W\njsut8+Q4tIRAyZ80QpZeF5/HW7+0zdI0Jmm71UcX05Iu79u3TzQCAF2jh8NxI+7H7Zu3Y7F2ia0T\njvkkHDcnBWJ9zte0pMNYAQC6SY+HYzkWb03HL8dKcXx0NEZXWL7x0qEY2rsrnhiZiLnavdg64ZhP\nwhEAgJX0dDiW3/15/PXuJ6obofHyRDx1/Ldxp3Y/ti5tV/InHV555syZ2iUAAPhQN71/3+AzuRPT\npeejWNkAxcG/im+/+lr8/cjTlctPxO6R78WPTv9dfG3oycrlnfHsd/8l5p0gp6mEYz6lz+elQy0B\nAGC53g3H8vUYH95Z2QBPx+jk7bQi7k2diCcLxdh59NyHo4uLb8fY8K4o7PhKTMx+kNbQJMIxn4Qj\nAAAr6d1wXLocpT19Ueg7EhNzSx+um5uIkb5CFJ87HVeqI4zluDP5zfh44WOxr3QpnHu1eYRjPqUz\nhK41qT0AAL1HOC4Px3sX4viT26Lw5ImYulc7NvWxmKQZhGM+pdHGNOpIY2kaDlNtAAC9pHfDMW7F\n+aODlQ2wN45PzX+4qn746rZDMX6jNvlGLRwLe0oxXetLtk445pNwXJ9Tp05V521sZHZ2tno7AIBu\n0MPh+EHMTnwldhSK0f/s12Ns8noslOdj6vjeykbZFcNjb8fig9sUYtvweNww4tg0wjGfUjiuFUS9\nLo02DgwMrHn22TStSdrPU0ACAHS6Hg7HisVr8bOv/kX1zKr1w1Pvv3U6PtNfjEJxV+z9y72xq5im\n4xiIF9+YCd3YPMIxn+qxw+pSXKdwTAG5lnS7s2fP1i4BAHSu3g7HZPFPcemNUnz9u2djtlqG78fM\nue/F5wb6qhunUPxEDL/6O9NxNJk4ySfhuLY01+V6D0FNJxtKCwBApxOOq1mcj5szN+LWgg82toI4\nySfh2FgaPUzbZ72Hn6bbp1FHAIBOJxzJhDjJpxRE6bVJAcnj0uc/NzJdie0JAHSL3gnH+1fj/Otj\n1c8nbWZ5/fxV8zg2kXDML6Gzsvpo7Ean4Uix6eyqAECn651wrE+rUXnCm1n6RiZirval2Lq0Tcmn\n9NoIx8elaUo2M1XJeqbuAADIu256/974mRhxzBXhmF/OBPq4rRxyWh+pNC0HANDJeiccyRXhmF9p\nVC39YwkfSZ9rTGdT3SwxDgB0OuFYV16I9/54KSYnJ+N3V+ejHEuxMH8nFmtX01zCMb+E48Pqo41b\nCT/TcgAAnU44lm/H9PhoHKjP21joiz2ly7FUfjtOP/dnMfjiP8TUew5SbTbhmF8pHJ3M5SMporc6\npYZpOQCATtfb4ViJxoulz0Z/ZSMUd+2PLwwNRrEejvd+H6VP7qhsoGL0H/h+TC+Ua3eiGYRjfqVQ\n2sxJYLrR3bt3q8G31RFY03IAAJ2uh8Pxg3jv3DdidzGF4StxcX4x5iaORF89HCu3KC9Mxw+Hd1U2\n0o74zNiVyFU6lhfi1jszMTOzueWdWwuZPh/hmF/C8SP1kcIUkFtlWg4AoJP1cDj+KX750icqG+Dp\nGJ28Xbm89Fg4Vuos7k2diCcrG2nb8HjcyFM5dvj0IukxkE/C8SPphDgbmfC/EdNyAACdrJvev2/s\nmSxdjtKevij0HYmJuZSJK4VjRT3Q9pRi+sHKHCjPxVtvjMaz/cXKi1iM7YOfiqGhoXUvL7w8GXdq\nXyoLwjG/Lly44PWpSKONaTs0axoN03IAAJ1MOK4RjuUb4zG8LYfhWPVBzF98JQ5U4rG4+xtx7r0P\nauvzT5jkm8/ifXiSoGaNNtaZlgMA6FS9G45xK84fHaxsgEaHqt6PmfEvRX+hGDuPnst0hG51i/Hu\nL45VP6u548s/i9kOOYePcCTP6qODzQ5o03IAAJ2qh8OxHHemTsRTxUIUn/nbmHrs5Dj3473ffz+G\ndxSjUPxkHJ/K8hOBayj/e7zxpY/n/3EuIxzJsxR3rficp2k5AIBO1cPhWLHidBzF6N//hTg8tDu2\nV9YXCh+LZ05MxnyuR/LKcf/tM3FidDS+NT4d92pr80w4klfNmPB/NablAAA6VW+HY1I9ycyJGN7d\nX90Yy5fiwAsxOn4559HYmbppx6O7pM81prOptoppOQCATtRN79+39kzSvIjXpmNqcjImJ/8lLr19\nI+YXFWOrCEfyqD7hfytPYGNaDgCgE/VwOH4Q7039NH5y/g9xSyC2nXAkj9Icls2a8H81puUAADpR\n74Zj+XqMD++MQvH5KE3n83yp3Uw45lcabUsBVV+uXbtWu6b7pWhMz7nVTMsBAHSa3g3Hx+Zx7AX1\nKUcK0TcyEc06/2raiTazkC8pENNn+9Jrk84ompZ0SGW6nM4y2spRuDxIIZeeazuep2k5AIBO003v\n3zf4TO7EW6c/H/2Fj8eL41disba2u7UmHDdDOOZLisY0CpZi8dFDKNOhlem6bv9cXormZk/4v5oU\nqWmbAgB0ih4Ox6VYePfNePXFp2N7oT92f+6l+HbptYcO0Vu+vH7+atyv3ZOtE475Uh9dXG20LYVl\nes269fDKCxcuVJ9fuz53aFoOAKDT9HA43oyJkV3VDbCeJesRum6Ttin5UI+YFE+NpNG4VkyKnwf1\nQ3PbybQcAEAn6ab37xt8Jgtx9fxPVhxdXGnpmBHHxfm4OTMTM/Xl5nwuD8MVjvlRP8vnWuqjct2m\nPpra7tE/03IAAJ2kh8OxWyzFwsxv4yelY/HFZ3ZFsfKCphf14aU/BodGYvTVn8alm+/X7petbtrx\nOl2vh2MaSc0i4Orb3bQcAEAn6Kb3gb1XIuXbcfHVL8ZAcVkkbh+M/UNDMVRfPr03dj10/afi2MS1\nzEchu2nH63S9fKhq/bln9dlN03IAAJ2im96/91iJLMaNN74cO1IM9n8mjr9xIf743kKUa9c+bDHm\nZ/41zr12JHaniCw+Gy9fnK9dlw3hmC+9enKcdLhoOptqVkzLAQB0CuHYqcpvx+nntlcicF+Mvjm7\nSjA+aiGujB2K/kIxdh49F3dqa7MgHPMlhWGvTceRIjk9rzNnztTWtJ9pOQCATiEcO9XcRIz0FaLw\n5ImYure+bEzKN8ZjeFvlfntKMb1UW5kB4Zg/KR7T6Ft6bepnGU2xmC6nUbF2TIzfTumkVynasnxe\n9UNl231iHgCAjRKOnerOuTi6sygcabo0Crb8jMIpKLtRiuQ8TIeR4ty0HABA3gnHTlW+HuPDO6NQ\n3BvHzt1c36Gq5VsxdWJ/FB2qSo9LcZz2wTyc0dS0HABAJxCOHeuDmHvzb+Kp6slunopDL/84fnXx\n7Zh551YsLK/I8kLceudKTE/+c7x29Pnor7zghf7Px+m3ssxG4Ui2Uqils8TmgWk5AIBOIBw72vsx\n84sTcWCgr/pCrmcpDh6O05dur/NkOq2THgtkoR5qeToEN33W0rQcAECeddP7954tkfLC9Zh84wfx\nna8eigOPzds4GPsPHIqXvv1KjJ+fjpsLGX6wcRnh2PnSIZZZnpF0s+on/skT03IAAHknHMmEcOx8\n9c8JdtJIWV7PYpoC3LQcAECeCUcyIRy7Q/qcYHotO+XMq+nxZjnh/2pMywEA5J1wJBPCsXukQyzT\naFne47EeZ3kdIc3L9CAAACsRjmRCOHaPNIF+OktpWrKcTH8t9Qn/88q0HABAnglHMiEcu0sKxhRl\neQ2f+uNL8ZhXFy5cqP5cmJYDAMgj4UgmhGP3SYeqpjjLy/yIy6XDU9Njy/OIaJJ+LkzLAQDkkXAk\nE8KxO9VHzfI2spc+P5jHoH1U+rxoJzxOAKD3CEcyIRy7V96m6ag/nk44BNS0HABAXglHMiEcu1ue\npulIk/13yihe/cyvnTK9CQDQO4QjmRCO3S8P03SkeRHTvtZJ8yOmw2rzfBIfAKA3CUcyIRy7Xx6m\n6UjxmkYcO4lpOQCAPBKOZEI49oYsp+nI+4T/q6mfYCjvZ4AFAHqLcCQTwrF3ZDVNR/p+6bDPTtSJ\nwQsAdDfhSCaEY29p9zQd9ZHOTo0v03IAAHkjHMmEcOw99Wkx2hFzKVBTOHbq4Z6m5QAA8kY4kgnh\n2JvaNU1Hiq5OPjOpaTkAgLwRjmRCOPauVk/TUR/Z7PSTy5iWAwDIE+FIJoRj70pB18ppOlJwdcPn\nA03LAQDkiXAkE8Kxt9VPXtPsMKqfhCcd6tnpTMsBAOSJcCQTwpFWTNORJvvvtAn/G0k/J6blAADy\nQDiSCeFI0sxpOqanp6tfK/23W5iWAwDIC+FIJoQjdc2apiMFVrd9JtC0HABAXghHMiEcWW6r03TU\np6/otsM6TcsBAOSFcCQTwpFHbWWajnQCmW6dusK0HABAHghHMiEcedTyaTr4iGk5AIA8EI5kQjiy\nkm4eOdws03IAAHkgHMmEcIT1Sz8vpuUAALIkHMmEcIT1My0HAJA14UgmhCOsn2k5AICsCUcyIRzZ\nqDQ1RQqo9BnItKT/T+t6gWk5AICsCUcyIRzZiPqIW1oOHz5cXdL/p/0oXdcLTMsBAGRJOJIJ4ch6\npTBM+8tK0ZTW9Uo8mpYDAMiScCQTwpH1qB+i2WikrR6P3X7Yqmk5AIAsCUcyIRxZj/ohqmtJt+mF\nUcf0c2NaDgAgC8KRTAhH1iONJqbPM64l3abRqGS3MC0HAJAV4UgmhCPrIRwftt4RWACAZhOOZEI4\nsh4OVX2YaTkAgKwIRzIhHFmPFEopChuNJqbr0m26/eQ4dablAACyIBzJhHBkvdJIYtpfVoqltC5d\n1wujjXWm5QAAsiAcyYRwZCPqh6ymJX2eMS3p/3stGhPTcgAAWRCOZEI4slHpUNQUiWmUMS3p/3vl\n8NRHpZ8f03IAAO0kHMmEcITNMy0HANBuwpFMCEfYvPqhuwAA7SIcyYRwhM0zLQcA0G7CkUwIR9ga\n03IAAO0kHMmEcIStMS0HANBOwpFMCEfYGtNyAADtJBzJhHCErUs/R6blAADaQTiSCeEIW2daDgCg\nXYQjmRCOsHWm5QAA2kU4kgnhCFuXpuNIP0um5QAAWk04kgnhCM1hWg4AoB2EI5kQjtAc6TOOpuUA\nAFpNOJIJ4QjNYVoOAKAdhCOZEI7QHCkY08+TaTkAgFYSjmRCOELzHD582LQcAEBLCUcyIRyhedK0\nHOkkOQAArSIcyYRwhOYxLQcA0GrCkUwIR2iuNOKYRh4BAFpBOJIJ4QjNlT7jmD7rCADQCsKRTAhH\naC7TcgAArSQcyYRwhOaqT8uRAhIAoNmEI5kQjtB8puUAAFpFOJIJ4QjNZ1oOAKBVhCOZEI7QfKbl\nAABaRTiSCeEIrWFaDgCgFYQjmRCO0Bqm5QAAWkE4kgnhCK1hWg4AoBWEI5kQjtAapuUAAFpBOJIJ\n4QitY1oOAKDZhCOZEI7QOqblAACaTTiSCeEIrWNaDgCg2YQjmRCO0FoHDx70OUcAoGmEI5kQjgAA\n0DmEI5kQjgAA0DmEI5kQjgAA0DmEI5kQjgAA0DmEI5kQjgAA0DmEI5kQjgAA0DmEI5kQjtAeZ8+e\njbGxsQeLuR0BgM0QjmRCOEJrpUDct29f9Wft8OHD1SXN7ZguHzt2LO7evVu7JQDA2oQjmRCO0Dop\nGgcGBqqxODs7W1v7oenp6ep1KSIBANZLOJIJ4QitUx9dXG1UMYVl+hlMh7ECAKyHcCQTwhFaI40w\npp+vCxcu1Nas7OTJk9XAzEp6nGfOnHnw2cv0/4+OjgIA+SEcyYRwhNZIh6Ku5+crhWVWP4cpEtPh\nsvXDadOS/j89nnQdAJA/wpFMCEdojbyHYwrD9H3TKOOj0rp0XdbxmA7lrY+EpsUhvQAgHMlIN+14\nkCfNOlS1/nXSsnxksB5TKVDTspGzs9a/Zrr/atJ16TZZHLaanks642z6/ukzovXnnC6nM9SaygSA\nXpb+HnYLJdJBumnHg7xJsdOMk+Ok26U4rM8FWY/N+rQey5cUVum6Rl+zfojqWtJtshh1TM8rfe/0\nnJdLEZueW7ou63isvxb1RcwC0C7p7323UCIdpJt2PMibFBP1UcJHR+5SFKXrUiQ1Q33kMYVeCplG\nI53p+vSY1pJuk27bTinI0u+lRiFWH4XMQnpc5uUEIEvCkUwIR2itPIZGs8IxhWr9OaXl1KlT1duv\ntNTDNi2NpK+TRlQbqX8utN2H0bbzHwIAYDXCkUwIR2iPPB3a2KxDVdNzWP6clkfk8qUezvWl0XNP\n16/1udAk3W6tCG229FxSGG710ONWSkFbH3VOS/r/dgf2ah7dX7LcTo9y6DHQSdLfmm6hRDpIN+14\nwPqkkEhRmN4gryZdl27T7uhoVjjWT66TlvrnPutLum55JKS4Sl+rUSyk7bCex5blvJz1fxBIS/25\npv9Pj7vRPwC0Wp5PdpS+t0OPgU6Tfkd1CyXSQbppxwPWL4VE+vlfKR7TunRdFrGR3rg341DVdF2K\nwbSk57E8FFMQ1CMhLfVwSP9dTfo66/l9WX9s7ZbX1zNJIZYC9tHQT69R2v7puiziMX3PemQ/ui+l\nx5quc+gxkEdZ/J1pFSXSQbppxwM2JoVEenNcf/NcfxOfZWSsdXKcNAJUH7Vqp2aGY9q26Xmmr5mW\nrUZTfTR0pWisq8djo9huhbVezySL1zNJ3zN9b4ceA51mrb8znUSJdJBu2vGAjcvjG9M8jlCl751+\nX271UNX6YZv1QH90WR7xaam/Lo2eb3rN0v3Wkm6TbttO6Tnk8WRHzXo9W6n+ui7fJ9L/p8fd7tcR\nyJf0e6BbKJEO0k07HtAd8vqZuPQYWjFClSKmPvqY7luPxXSW2vpzT5d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       "prompt_number": 17,

       "text": [

        "<IPython.core.display.Image at 0x464569b0>"

       ]

      }

     ],

     "prompt_number": 17

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Tracking plot es una graficaci\u00f3n que muestra los puntos en el muestreo contra los n\u00fameros diferentes de cluster que se realizaron en las iteraciones. Sirve como un apoyo visual para llevar un historial de cuantas veces un punto en particular pas\u00f3 de formar parte de un cluster a otro. Un punto con diferentes colores de longitudes similares muestra que esa caracter\u00edstica en particular muestra una pertenencia muy d\u00e9bil a un cluster en particular. Una gr\u00e1fica que contenga n\u00famerosas columnas con diferentes colores muestra un clustering demasiado inestable."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\CC_20_rep_1000\\tracking_plot.PNG') "

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "pyout",

       "png": 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HPZ9rRPGiMih2lMfxjELnDkZxFoUuutJQdLPZo9DQdNBjqnbQ87lGFC8qg2JH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       "prompt_number": 18,

       "text": [

        "<IPython.core.display.Image at 0x46456320>"

       ]

      }

     ],

     "prompt_number": 18

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Bajo los criterios mencionados en el art\u00edculo, el n\u00famero de clusters ideal para seleccionar es aquel donde el CDF alcance una estabilidad y el incremento relativo en el \u00e1rea sea cercano a 0. Los datos una agrupaci\u00f3n que ofrecen un aumento gradual en su CDF a medida de que va aumentando el n\u00famero de clusters hacen notar la debilidad de pertenencia que existe en los puntos con respecto a un grupo en particular.\n",

      "\n",

      "Bajo los criterios recomendados se ha decidido hacer un an\u00e1lisis sobre K = 3 y K = 6, ya que K = 3 ofrece el aumento m\u00e1s alto en el \u00e1rea debajo de la CDF y K = 6 es el segundo aumento de mayor proporci\u00f3n m\u00e1s acercado a 0 y alcanza una estabilidad en su comportamiento en la CDF."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\CC_20_rep_1000\\matrix_3.PNG') "

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "pyout",

       "png": 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0eba+Z1ut1+O7tF+2xfu5/h54D+XIbN2ftR4ND3Pc/1n5h9tXn//8+33Kd5/9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\nZ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       "prompt_number": 19,

       "text": [

        "<IPython.core.display.Image at 0x46456f28>"

       ]

      }

     ],

     "prompt_number": 19

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "palette_3 = ['#B2DF8A','#1F78B4','#A6CEE3']\n",

      "palette_6 = ['#FB9A99','#1F78B4','#E31A1C','#A6CEE3','#33A02C','#B2DF8A']"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 20

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "k_3 = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\CC_20_rep_1000\\cluster_3_pertenencia.csv')\n",

      "k_6 = pd.read_csv(r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\CC_20_rep_1000\\cluster_6_pertenencia.csv')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 21

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "coors = pd.read_csv('C:\\Users\\ghost\\Google Drive\\JairCastruitaGastelum\\Progress Reports\\Clustering_ECOBICI\\DATA\\estacion_coordenadas.csv')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 22

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "#create empty map zoomed in on Mexico City\n",

      "CDMX_COORDINATES = (19.4186, -99.1686) "

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 23

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "import folium \n",

      "\n",

      "map = folium.Map(location=CDMX_COORDINATES, tiles='Stamen Toner', zoom_start=14)\n",

      "\n",

      "for i in coors.iterrows():\n",

      "    if 'X'+str(int(i[1][0])) in k_3.transpose():\n",

      "        folium.RegularPolygonMarker(\n",

      "            [i[1][2], i[1][1]],\n",

      "            popup=str(int(i[1][0])),\n",

      "            fill_color=palette_3[k_3.transpose()['X'+str(int(i[1][0]))][0] - 1],\n",

      "            number_of_sides=6,\n",

      "            radius=10\n",

      "            ).add_to(map)\n",

      "    \n",

      "map"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

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            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.1.0/css/font-awesome.min.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://rawgit.com/lvoogdt/Leaflet.awesome-markers/2.0/develop/dist/leaflet.awesome-markers.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.Default.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://raw.githubusercontent.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css" />
        
        
        
            
            <style>

            html, body {
                width: 100%;
                height: 100%;
                margin: 0;
                padding: 0;
                }

            #map {
                position:absolute;
                top:0;
                bottom:0;
                right:0;
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            </style>
            
        
            
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                height: 100.0%;
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                top: 0.0%;
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            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet-dvf/0.2/leaflet-dvf.markers.min.js"></script>
        
        
        
        
        </head>
        <body>
            
        
            
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        </body>
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       ],

       "metadata": {},

       "output_type": "pyout",

       "prompt_number": 24,

       "text": [

        "<folium.folium.Map at 0xdc6e2e8>"

       ]

      }

     ],

     "prompt_number": 24

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "norm_res['cluster'] = k_3.values\n",

      "temp_res = norm_res.sort_values(['cluster'])\n",

      "sns.heatmap(temp_res[temp_res.columns.difference(['cluster'])])"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "pyout",

       "prompt_number": 25,

       "text": [

        "<matplotlib.axes._subplots.AxesSubplot at 0xdc6b978>"

       ]

      },

      {

       "metadata": {},

       "output_type": "display_data",

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f/QSZoJeuouIH73y3RYyp3kyfHaxk0eE6KjptPF3zu98giStLR5sbjtAzYn8l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\nY8tZSgYANLLC0au3Ep0+5b9kmH7NAaJJd/+Lqpi8uu7fot8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Qe/bswdSpUzFmzBgYDAY8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6rC3Vw4uMMKAHhxupiNsdcSveJskhQKNyG2nKXyA58YmdIPJ43Tlty4QxNbl7LdUjUptE8KHR9T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\nAbguATVkyBBIJBJ89913qKiowAcffACdTofy8vJG5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       "text": [

        "<matplotlib.figure.Figure at 0xdc6b6d8>"

       ]

      }

     ],

     "prompt_number": 25

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Se muestra evidente viendo el heatmap anterior que lo que realiz\u00f3 el clustering es agrupar las estaciones cuya actividad se concentra en los primeros, medianos y \u00faltimos rangos."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "Image(filename=r'C:\\Users\\ghost\\Desktop\\pruebas\\ECOBICI_data\\CC_20_rep_1000\\matrix_6.PNG') "

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "pyout",

       "png": 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6uK7jsve9i/moMFxjnX30p9P3b//m7l/VfvHV6fW3P9z/+np62O9Df+KO+sC4\n1XXVPm4XG/6ge2Y29ryP7ol1uG774VrWwXUdl73vXcxHheEaa+yjn35s7E6FIuhhvw/9iTvqA+NW\n11X7uF1s+IPumdnY8z66J9bhuu2Ha1kH13Vc9r53Md8W9yX/cTs+1idfnL54/e3p2n+qIn7PrRn6\nE9fDAtbgVtdV+7hdbPiD7pnZ2PM+uifW4brth2tZB9d1XA597354e3oZf0qxXOPTWiqa0sMC1uBW\n11X7uF1s+IPumdnY8z66J9bhuu2Ha1kH13VcvHfPp4c1G/quHXXT3eq6ah+3iw1/0D0zG3veR/fE\nOly3/XAt6+C6jov37vn0sGZD37WjbrpbXVft43ax4Q+6Z2Zjz/vonliH67YfrmUdXNdx8d49nx7W\nbOi7dtRNd6vrqn3cLjb8QffMbOx5H90T63Dd9sO1rIPrOi7eu+fTw5oNfdeOuuludV21j9vFhj/o\nnpmNPe+je2Idrtt+uJZ1cF3HxXv3fHpYs6Hv2lE33a2uq/Zxu9jwB90zs7HnfXRPrMN12w/Xsg6u\n67h4755PD2s29F076qa71XXVPm6L64pjbFX6Z8/75D1fh+u2H65lHVzXcfHePZ8e1mzou3bUTXer\n69py3Pi9e7qWLb832Pr7pQ173ifv+Tpct/1wLevguo6L9+759LBmQ9+1o266W13XluPuec63PI9b\nrb08j17228y4bvvhWtbBdR0X793z6WHNhr5rR910t7quLcfd85xrnUf8f3spt2XPe+D9XIfrth+u\nZR1c13Hx3j2fHtZs6Lt21E13q+vactw9z7nWeex1jnteq6yjl/02M67bfriWdXBdx2WOe/fh9OP7\nt6fXL7/4eL0f/fzl6fXfvTt9/+F+yDPoYc2GvmtH3XS3uq4tx93znGudx17nuOe1yjp62W8z47rt\nh2tZB9d1XPa+dzHfFvfnT6fv3/7N6XM4Vvjiqzen755ZLOL33ZqhP3E9LGANbnVdW4675znXOo+9\nznHPa5V19LLfWhHnqNc5IqOed++4ruOy972L+f77//A/rrLKPvrh7enli+WZ9eLL06vfvT/9+PEX\n408u/vPp1Ze/WI75y9PLt3/4+KvX0sN+H/oTd9QHxq2ua8tx9zznWuex1znuea2yjl72Wyvcc9cx\n6jp5f+vguo7L3vcu5qPCcI3776MPS6f4+vTisxenL15/u/yvx3x4//r0xXLMFy/fnn64/7Vr6GG/\nD/2JO+oD41bXteW4e55zrfPY6xz3vFZZRy/7rRXuuesYdZ28v3VwXcdl73sX81FhuMa2++jpwvEU\nPez3oT9xR31g3Oq6thx3z3OudR57neOe1yrr6GW/tcI9dx2jrpP3tw6u67jsfe9iPioM19huH/3p\n9P27/3B6+fmL02cv/vr05rs/3f/6dfSw329yBnHhPdoLtzqXLcfd85xrncde57jntco61tyD+D1r\n7IFezqN3Rl0n728dXNdx2fvexXxUGK6x/j76w+nty19+PE744st/d/r9988rFEH98yxzkzPo4cLP\n6emcbnUuW4675znXOo+9znHPa5V1rLkHrX5PDdxz1zHqOnl/6+C6jsve9y7mo8JwjdX30YdvT6+/\nePHxOD/5+d+c3j6zWFQ/zyu4yRn0cOHn9HROtzqXLcdd+3vj913rNTw17to5Suw1j6xnzT1o9Xtq\n4J67jlHXyftbB9d1XPa+dzEfFYZrbLuPfji9f/P13Y+a/fyb07sfr/+uih72+03OoMcPek/ndKtz\n2XLctb/32t+3x7gt1/eQveaR9ay5B61+TxK/t1dHh66pZM/0fn6j4rqOy973LuajwnCN7ffRv5ze\nvfrz5bjP+7GyPez3m5xBjx/0ns7pVuey5bhrf++1v2+PcVuu7yF7zSPrWXMPWv2epNd9coT9+9xr\n6P2aj3BPesR1HZe9713MR4XhGtvvoz+e3r/+1XLc5/0EqB72+03OoMcPek/ndKtz2XLctb/32t+3\nx7gt1/eQveaR9ay5B61+T9LrPjnC/n3uNfR+zUe4J9cQ1zmDsp291zHmo8Jwje3vqaXiWbS68DhO\nDWvT4hjEluOu/b3X/r49xm25vofsNY+sZ809aPV7kl73yRH273OvofdrPsI9uYYZrnOWe1mbvdcx\n5qPCcI3739P8aU+X/npT/v+/Or1+/8f7XyvTw967yRm0uvAax2lx7rfaGFuOu/b3Xvv79hi35foe\nstc8sp4196DV70l63SdH2L/PvYYerjnOYY1H4mjXQ8xwjS3Yex1jPioM17j/Pf1w+vHdN/ffjP31\n6c37B/9u9ofvT7//5svTi+X/e/HVm9N3z/jX73rYezc5g1YXXuM4Lc79Vhtjy3HX/t5rf98e47Zc\n30P2mkfWs+YetPo9Sa/75Aj797nX0MM1rzmHI9yrhxzteogZrrEFe69jzLfF/fnh9O3rrz6WBzqe\nP1L2GbS68BrHaXHut9oYW4679vde+/v2GLfl+h6y1zyynjX3oNXvSfbeJzFfb96K5x77luearDmH\nHs57T452PcQM19iCOdYx/gXtfzi9fvnFx+v96IsvT6/evDt9/4w/oUh6WLObnEGrC69xnD3n/LiB\nnmlNrp3//JyessQ1Y4I9xl07R4m95pH1rLkHrX5Psvc+6W3f3fJ8nnvsHtZuzTn0ds+3crTrIWa4\nxha4js+nhzW7yRm0uvAax9lzzufOVXvdrp1/z3Etj3ntHCX2mkfWs+YetPo9yd77pPa+i/lruxfP\nnWvPY69lzTn0cN57crTrIWa4xha4js+nhzW7yRm0uvDnHifG7+U1XBp3Ptc17sG18+w5ruUxr52j\nxF7zyHrW3INWvydZ+3vj9z3XtdBc6XOg37+Hl3jq/yOeO74Ga86h5XnHsY5ibeiY1yrX4Vo9nx7W\nrOoZPPwg1Za49OvB+e+/1kvQ2PQSl/6/0u9Z4yVobHqJS//f+e8/l7j068H573/oJdb8fw/n1dtL\n0LiHEjTuoQSNe+glaOw1Epd+PTj//dd6iUv/X+n3rJG49OvBmv8vj3VriUu/Hpz//j0kaNwtvASN\nvYUEjXsoQeMeKpdxfZ5PD2vmXRMRERGRbrBUPB9LhYiIiIjIAywVz8dSISIiIiLyAEvF87FUiIiI\niIg8wFLxfCwVIiIiIiIPsFQ8H0uFiIiIiMgDLBXP53Cl4l///d/qE/5P/+v/Vyv43/+H/1EP6P/x\nX/+76tD+8je/uLl////8bzqA8pg5S8WfTt+9+evTi89+eXr59g/3v3Y9lorJpECs26VAquNLIU11\nJCnkt5YCrPanPGbvgBzzbbEFH757c/rqRRzPUvERCtL6SQrEul0KpDq+FNJUR5JCfmspwGp/ymP2\nDsgxH+Wya2wS1n/8/enV5y8+HstScQ/dDP0kBWLdLgVSHV8KaaojSSG/tRRgtT/lMXOVin85vXv1\n56fPXvzl6eX/8oWlIqGboZ+kQKzbpUCq40shTXUkKeS3lgKs9qc8Zp5S8afT92//5vT5Z784ffXm\n29O3r39lqUjoZugnKRDrdimQ6vhSSFMdSQr5raUAq/0pj5mlVNx9H8WL0+evfn/68fTH03tLxSfo\nZugnKRDrdimQ6vhSSFMdSQr5raUAq/0pj5miVHz4p9Obr35x+uzzb07vfvyw/IKl4hF0M/STFIh1\nuxRIdXwppKmOJIX81lKA1f6Uxxy/VNx/H8Vnf3569e5f7n/NUvEIuhn6SQrEul0KpDq+FNJUR5JC\nfmspwGp/ymOOXSo+nH58983991H80/K/EkvFI+hm6CcpEOt2KZDq+FJIUx1JCvmtpQCr/SmPOXKp\n+PD9705ff/7i9OKrN6fvPjWKBUvFI+hm6CcpEOt2KZDq+FJIUx1JCvmtpQCr/SmPOW6pyOLw+B/X\nY59XLuL33BpLRUMpEOt2KZDq+FJIUx1JCvmtpQCr/SmP2Tsgx3yUy65x33OxVFwN3Qz9JAVi3S4F\nUh1fCmmqI0khv7UUYLU/5TF7B+SYj3LZNbYL6/71p0fQzdBPUiDW7VIg1fGlkKY6khTyW0sBVvtT\nHmOpsFTgzdBPUiDW7VIg1fGlkKY6khTyW0sBVvtTHmOpsFTgzdBPUiDW7VIg1fGlkKY6khTyW0sB\nVvtTHlOjVGyxDZaKR1CQ1k9SINbtUiDV8aWQpjqSFPJbSwFW+1Me00NAHg1LxWRSINbtUiDV8aWQ\npjqSFPJbSwFW+1MeY6l4PpaKyaRArNulQKrjSyFNdSQp5LeWAqz2pzzGUvF8LBWTSYFYt0uBVMeX\nQprqSFLIby0FWO1PeYyl4vlYKiaTArFulwKpji+FNNWRpJDfWgqw2p/yGEvF87FUTCYFYt0uBVId\nXwppqiNJIb+1FGC1P+UxlornY6mYTArEul0KpDq+FNJUR5JCfmspwGp/ymMsFc/HUjGZFIh1uxRI\ndXwppKmOJIX81lKA1f6Ux1gqno+lYjIpEOt2KZDq+FJIUx1JCvmtpQCr/SmPsVQ8H0vFZFIg1u1S\nINXxpZCmOpIU8ltLAVb7Ux5jqXg+hysVIiIiIiJbmKJUfPj29PqLFx+vFf3i9en9h/uxVxC/59ZY\nKkRERESkG3oIyNX54e3p5QsoE6mlQkRERERkPXsH5EdhfYX782HpFF+fXnz24vTF62+X/7WdOuf5\nPCwVIiIiItINewfkmI++J/Ma64T1P57ev/7VMvcvTy/f/uH+17ZhqRARERERecDxS8UfTm9f/vL0\n2YuvT29/2OPPKSwVIiIiIiKPOHypyG/S/uLfnd7+/s3p1Ze/+Hiczz77xenLV29O777/0/3A67FU\niIiIiIg84Oil4sP716cvPpaIC7746vT62x/uR19H/L5bY6kQERERkW7YOyDHfFQYrnH/sJ7fpL2U\nh8+/Pr15/7A8/HB6/7tvTl/GT4X6/JvTux+v/6tRlgoRERERkQccu1SUWPdN3JYKEREREZEHzF0q\n1v24WUuFiIiIiMgDLBV3fz3qxcu3p2u/s8JSISIiIiLyAEuFf1IhIiIiIrKJY5eK+3+j4uL3TOT/\n/6vT6/d/vP+1MpYKEREREZEHHLtUfDj9+O6b0+fLvD/76U8fvj+9+83Lj//fc/7qU2CpEBERERF5\nwLFLRfDD6dvXX939WFnwxZe/OX37jB8nG8TvuzWWCumKf/5ndg00TyoiUht69qStiJyh/SuP2Tsg\nPwzsa6zDn07fv/uH0+uXX3w61osvT6/evDt9/7w+8ZF653k9bmXpCnr5hmugeVIRkdrQsydtReQM\n7V95TA8BeTQsFSJn0Ms3XAPNk4qI1IaePWkrHgZX7Vd5jKXi+VgqRM6gl2+4BponFRGpDT170lY8\nDK7ar/IYS8XzsVSInEEv33ANNE8qIlIbevakrXgYXLVf5TGWiudjqRA5g16+4RponlREpDb07Elb\n8TC4ar/KYywVz8dSIXIGvXzDNdA8qYjIDDwMrtqv8hhLxfOxVIicQQUgXAPNk4qIzMDD4Kr9Ko+x\nVDwfS4XIGVQAwjXQPKmIyAw8DK7ar/IYS8XzsVSInEEFIFwDzZOKiMzAw+Cq/SqPsVQ8H0uFyBlU\nAMI10DypiMgMPAyu2q/yGEvF87FUiJxBBSBcA82TiojMwMPgqv0qj7FUPB9LhcgZVADCNdA8qYjI\nDDwMrtqv8phpSsWH70/v/u7fn15+/uLjNX/22YvT5y9fn96+/+F+wPVYKkTOoAIQroHmSUVEakPP\nnrQVGVq1b+Uxewfku8C+3ir8+N9Or7/8BR7vsxdfnV5/+7xiEb/v1riVpSvo5RuugeZJRURqQ8+e\ntBWRM7R/5TF7B+SY7+//n/9tlXXC+r+c3r3682Xu+JOJ/3B69/2f7n75w/en33/z5enFcswXX705\nfffh7pevwVIhcga9fMM10DypiEht6NmTtiJyhvavPObwpeKHt6eXL+JPJL4+vf3hrDl8+KfTm6/i\nTzB+dXr9/o/3v1jGUiFyBr18wzXQPKmISG3o2ZO2InKG9q885til4sPSKb4+vfjsxemL198u/2sf\nLBUiZ9DLN1wDzZOKiNSGnj1pKyJnaP/KY45dKv54ev/6V8u8vzy9fPuH+1/bjqVC5Ax6+YZroHlS\nEZHa0LMnbUXkDO1fecyxS8UfTm9f/nKZN/560w+n79+9Ob366Ru2z77H4hlYKkTOoJdvuAaaJxUR\nmYHIGdq/8phDl4oP355efxE/QvaL08tX/8vp82X+u0LxQH/6k8h2qACEa6B5UhGRGYicof0rj9k7\nIMd8VBiucfew/lOpiALxi9OXr/7z6f2P+Z0VP5ze/+6b05fxTdyff3N699Ovl7FUiJxBBSBcA82T\niojMQOQM7V95zCyl4sXLt0uNOGfd91xYKkTOoAIQroHmSUVEZiByhvavPObQpeKn76m4VBrW/XQo\nS4XIGVQAwjXQPKmIyAxEztD+lcccu1Tkn0RcKg2WCpFdoAIQroHmSUVEZiByhvavPObYpWKpDe9f\nn75Y5uV/NTv/tW3/8TuRTVABCNdA86QiIjMQOUP7Vx5z9FLx6V/N/sXpy2/+y+n7n4rFD6f3b77+\n+BOhuHBcxlIhcgYVgHANNE8qIjIDkTO0f+UxNUrFFmvw4fvfnb7+PH8K1Jkv/vr05rvn/VsV8ftu\njVtZuoIKQLgGmicVEZmByBnav/KYHgJyE358f3r721d3P0J2ueaP/3bF63/wH78T2QMqAOEaaJ5U\nRGQGMrRq38pjpikVO2KpEDmDCkC4BponFRGZgYfBVftVHmOpeD6WCpEzqACEa6B5UhGRGXgYXLVf\n5TGWiudjqRA5gwpAuAaaJxURmYGHwVX7VR5jqXg+lgqRM6gAhGugeVIRkRl4GFy1X+UxlornY6kQ\nOYMKQLgGmicVEZmBh8FV+1UeY6l4PpYKkTOoAIRroHlSEZEZeBhctV/lMZaK52OpEDmDCkC4Bpon\nFRGZgYfBVftVHmOpeD6WCpEzqACEa6B5UhGRGXgYXLVf5TGWiudjqRA5gwpAuAaaJxURmYGHwVX7\nVR5jqXg+lgqRM6gAhGugeVIRkRl4GFy1X+UxlornY6kQOYMKQLgGmicVEZmBh8FV+1UeY6l4PpYK\nkTOoAIRroHlSEZEZeBhctV/lMZaK52OpEDmDCkC4BponFRGZgYfBVftVHmOpeD6WCpEzqACEa6B5\nUhGRGXgYXLVf5TGWiudjqRA5gwpAuAaaJxURmYGHwVX7VR5jqXg+lgqRM6gAhGugeVIRkRl4GFy1\nX+UxlornY6kQOYMKQLgGmicVEZmBh8FV+1UeEwFZn++tcStLV1ABCNdA86QiIjMQOUP7V+QIuJWl\nK6gAhGugeVIRkRmgAKv9KXIE3MrSFVQAwjXQPKmIyAxQgNX+FDkCbmXpCioA4RponlREZAYowGp/\nihwBt7J0BRWAcA00TyoiMgMUYLU/RY6AW1m6ggpAuAaaJxURmQEKsNqfIkfArSxdQQUgXAPNk4qI\nzAAFWO1PkSPgVpauoAIQroHmSUVEZoACrPanyBFwK0tXUAEI10DzpCIiM0ABVvtT5Ai4laUrqACE\na6B5UhGRGaAAq/0pcgTcytIVVADCNdA8qYjIDFCA1f4UOQJuZekKKgDhGmieVERkBijAan+KHAG3\nsnQFFYBwDTRPKiIyAxRgtT9FjoBbWbqCCkC4BponFRGZAQqw2p8iR8CtLF1BBSBcA82TiojMAAVY\n7U+RI+BWlq6gAhCugeZJRURmgAKs9qfIEXArS1dQAQjXQPOkIiIzQAFW+1PkCLiVpSuoAIRroHlS\nEZEZoACr/SlyBNzK0hVUAMI10DypiMgMUIDV/hQ5Am5l6QoqAOEaaJ5URGQGKMBqf4ocAbeydAUV\ngHANNE8qIjIDFGC1P0WOgFtZuoIKQLgGmicVEZkBCrDanyJHwK0sXUEFIFwDzZOKiMwABVjtT5Ej\n4FaWrqACEK6B5klFRGaAAqz2p8gRcCtLV1ABCNdA86QiIjNAAVb7U+QIuJXlsFCZSEVEZoACrPan\nyBFwK8thoTKRiojMAAVY7U+RI+BWlsNCZSIVEZkBCrDanyJHwK0sh4XKRCoiMgMUYLU/RY6AW1kO\nC5WJVERkBijAan+KHAG3shwWKhOpiMgMUIDV/hQ5Am5lOSxUJlIRkRmgAKv9KXIE3MpyWKhMpCIi\nM0ABVvtT5Ai4leWwUJlIRURmgAKs9qfIEXAry2GhMpGKiMwABVjtT5Ej4FaWw0JlIhURmQEKsNqf\nIkfArSyHhcpEKiIyAxRgtT9FjoBbWQ4LlYlURGQGKMBqf4ocAbeydAUVgHANNE8qIjIDFGC1P0WO\ngFtZuoIKQLgGmicVEZkBCrDanyJHwK0sXUEFIFwDzZOKiMwABVjtT5Ej4FaWrqACEK6B5klFRGaA\nAqz2p8gRcCtLV1ABCNdA86QiIjNAAVb7U+QIuJWlK6gAhGugeVIRkRmgAKv9KXIE3MrSFVQAwjXQ\nPKmIyAxQgNX+FDkCbmXpCioAoYiIPB8KsNqfIkfArSxdQYUiFBGR50MBVvtT5Ai4laUrqFCEIiLy\nfCjAan+KHAG3snQFFYpQRESeDwVY7U+RI+BWlq6gQhGKiMjzoQCr/SlyBNzK0hVUKEIREXk+FGC1\nP0WOgFtZuoIKRbgGmicVEZkBCrDanyJHwK0sXUEFIFwDzZOKiMwABVjtT5Ej4FaWrqACEK6B5klF\nRGaAAqz2p8gRcCtLV1ABCNdA86QiIjNAAVb7U+QIuJWlK6gAhGugeVIRkRmgAKv9KXIE3MrSFVQA\nwjXQPKmIyAxQgNX+FDkCbmXpCioA4RponlREZAYowGp/ihwBt7KIiEgFKDy2VkSkFT5yREREKkAh\nv7UiIq3wkSMiIlIBCvmtFRFphY8cERGRClDIb62ISCt85IiIiFSAQn5rRURa4SNHRESkAhTyWysi\n0gofOSIiIhWgkN9aEZFW+MgRERGpAIX81oqItMJHjoiISAUo5LdWRKQVPnJEREQqQCG/tSIirfCR\nIyIiUgEK+a0VEWmFjxwREZEKUMhvrYhIK3zkiIiIVIBCfmtFRFrhI0dERKQCFPJbKyLSCh85IiIi\nFaCQ31oRkVb4yBEREakAhfzWioi0wkeOiIhIBSjkt1ZEpBU+ckRERCpAIb+1IiKt8JEjIiJSAQr5\nrRURaYWPHBERkQpQyG+tiEgrfOSIiIhUgEJ+a0VEWuEjR0REpAIU8lsrItIKHzkiIiIVoJDfWhGR\nVvjIERERqQCF/NaKiLTCR46IiEgFKOS3VkSkFT5yREREKkAhv7UiIq3wkSMiIlIBCvmtlf3553++\n7FPQ+FTkCPjIERERqQCF/NbK/lApSJ+CxqciR8BHjoiISAUo5LdW9odKQfoUND4VOQI+ckRERCpA\nIb+1sj9UCtKnoPGpyBHwkSMiIlIBCvmtlf2hUpA+BY1PRY6AjxwREZEKUMhvrewPlYL0KWh8KnIE\nfORMxt///WXfvWN7h845lDvoBVZyDTRPegkam/7615f9i79g/+qvLvvLX7IvXtxeCoM6viIiM+Fj\nbzKoTKQUzMPeoXMO5Q4K7CXXQPOkl6CxKZWJlApFSGUipUIRUshvLQVSHV8RkZnwsTcZVCZSCuZh\n79A5h3IHBfaSa6B50kvQ2JTKREqFIqQykVKhCCnkt5YCqY6viMhM+NibDCoTKQXzsHfonEO5gwJ7\nyTXQPOklaGxKZSKlQhFSmUipUIQU8ltLgVTHV0RkJnzsTQaViZSCedg7dM6h3EGBveQaaJ70EjQ2\npTKRUqEIqUykVChCCvmtpUCq4ysiMhM+9iaDykRKwTzsHTrnUO6gwF5yDTRPegkam1KZSKlQhFQm\nUioUIYX81lIg1fEVEZkJH3uTQWUipWAe9g6dcyh3UGAvuQaaJ70EjU2pTKRUKEIqEykVipBCfmsp\nkOr4iojMhI+9yaAykVIwD3uHzjmkoKrjSGUipUJRkgpFSCG/tRRIa0jHbi2d11EVEZkJH3uTQWUi\npWAe9g6dc0hBVceRykRKpaEkFYqQgm9rKZDWkI7dWjqvoyoiMhM+9iaDykRKwTzsHTrnkIKqjiOV\niZRKQ0kqFCEF39ZSIK0hHbu1dF5HVURkJnzsTQaViZSCedg7dM4hBVUdRyoTKZWGklQoQgq+raVA\nWkM6dmvpvI6qiMhM+NibDCoTKQXzsHfonEMKqjqOVCZSKg0lqVCEFHxbS4G0hnTs1tJ5HVURkZnw\nsTcZVCZSCuZh79A5hxRUdRypTKRUGkpSoQgp+LaWAmkN6ditpfM6qiIiM+FjbzKoTKQUzMPeoXMO\nZWyoTKRUGkL6UbIpFYqQgm9rKZDq+IqIzISPvcmgMpFSMA97h845lLGhMpFSoQipTKRUKEIK+a2l\nQKrjKyIyEz72JoPKRErBPOwdOudQxobKREqFIqQykVKhCCnkt5YCqY6viMhM+NibDCoTKQXzsHfo\nnEMZGyoTKRWKkMpESoUipJDfWgqkOr4iIjPhY28yqEykFMzD3qFzDmVsqEykVChCKhMpFYqQQn5r\nKZDq+IqIzISPvcmgMpFSMA97h845lLGhMpFSoQipTKRUKEIK+a2lQKrjKyIyEz72JoPKRErBPOwd\nOudQxobKREqFIqQykVKhCCnkt5YCqY6viMhM+NibDCoTKQXzsHfonMOnoH8XQfuSykRKhSKkMpFS\noQgp5LeWAmkN6ditpfM6qiIiM+FjbzKoTKQUzMPeoXMOn4JCrPYllYmUCkVIZSKlQhFS8G0tBdIa\n0rFbS+d1VEVEZsLH3mRQmUgpmIe9Q+ccPgWFWO1LKhMpFYqQykRKhSKk4NtaCqQ1pGO3ls7rqIqI\nzISPvcmgMpFSMA97h845fAoKsdqXVCZSKhQhlYmUCkVIwbe1FEhrSMduLZ3XURURmQkfe5NBZSKl\nYB72Dp1z+BQUYrUvqUykVChCKhMpFYqQgm9rKZDWkI7dWjqvoyoiMhM+9iaDykRKwTzsHTrn8Cko\nxGpfUplIqVCEVCZSKhQhBd/WUiCtIR27tXReR1VEZCZ87E0GlYmUgnnYO3TOIQXV9BI0Nn0KGq/b\npDKRUqEIqUykVChCCr6tpUBaQzp2a+m8jqqIyEz42JsMKhMpBfOwd+icQwqq6SVobPoUNF63SWUi\npUIRUplIqVCEFHxbS4G0hnTs1tJ5HVURkZnwsTcZVCZSCuZh79A5hxRU00vQ2PQpaLxuk8pESoUi\npDKRUqEIKfi2lgJpDenYraXzOqoiIjPhY28yqEykFMzD3qFzDimoppegselT0HjdJpWJlApFSGUi\npUIRUvBtLQXSGtKxW0vndVRFRGbCx95kUJlIKZiHvUPnHFJQTS9BY9OnoPG6TSoTKRWKkMpESoUi\npODbWgqkNaRjt5bO66iKiMyEj73JoDKRUjAPe4fOOaSgml6CxqZPQeN1m1QmUioUIZWJlApFSMG3\ntRRIa0jHbi2d11EVEZkJH3uTQWUipWAe9g6dc0hBNb0EjU2fgsbrNqlMpFQoQioTKRWKkIJvaymQ\n1pCO3Vo6r6MqIjITPvYmg8pESsE87B0653ANFG71NlKZSKlQhFQmUioUIQXf1lIgbS2dVw3p2EdV\nRGQmfOxNBpWJlIJ52Dt0zuEaKNzqbaQykVKhCKlMpFQoQgq+raVA2lo6rxrSsY+qiMhM+NibDCoT\nKQXzsHfonMM1ULjV20hlIqVCEVKZSKlQhBR8W0uBtLV0XjWkYx9VEZGZ8LE3GVQmUgrmYe/QOYdr\noHCrt5HKREqFIqQykVKhCCn4tpYCaWvpvGpIxz6qIiIz4WNvMqhMpBTMw96hcw7XQOFWbyOViZQK\nRUhlIqVCEVLwbS0F0tbSedWQjn1URURmwsfeZFCZSCmYh71D5xyugcKt3kYqEykVipDKREqFIqTg\n21oKpK2l86ohHfuoiojMhI+9yaAykVKwC3uHriWka+lJKkIhjU1p/BbpGCVpnpI0T0hjUyoTKRWK\nkhRwQwqDKY0PqZxskY6d0vFrSOcV0tiUxqc0fq20LiMoIjITPvYmg8J3SqEv7B26lpCupScpSIc0\nNqXxW6RjlKR5StI8IY1NqUykVBpKUlgNKQymND6kEL1FOnZKx68hnVdIY1Man9L4tdK6jKCIyEz4\n2JsMCt8phb6wd+haQrqWnqQgHdLYlMZvkY5RkuYpSfOENDalMpFSaShJYTWkMJjS+JBC9Bbp2Ckd\nv4Z0XiGNTWl8SuPXSusygiIiM+FjbzIofKcU+sLeoWsJ6Vp6koJ0SGNTGr9FOkZJmqckzRPS2JTK\nREqloSSF1ZDCYErjQwrRW6Rjp3T8GtJ5hTQ2pfEpjV8rrcsIiojMhI+9yaDwnVLoC3uHriWka+lJ\nCtIhjU1p/BbpGCVpnpI0T0hjUyoTKZWGkhRWQwqDKY0PKURvkY6d0vFrSOcV0tiUxqc0fq20LiMo\nIjITPvYmg8J3SqEv7B26lpCupScpSIc0NqXxW6RjlKR5StI8IY1NqUykVBpKUlgNKQymND6kEL1F\nOnZKx68hnVdIY1Man9L4tdK6jKCIyEz42JsMCt8phb6wd+haQrqWnqQgHdLYlMZvkY5RkuYpSfOE\nNDalMpFSaShJYTWkMJjS+JBC9Bbp2Ckdv4Z0XiGNTWl8SuPXSusygiIiM+FjbzIofKcU+sLeoXMO\nZWzo35pIKcSGNDalohHSPCUpQGo9qWikNL4XRURmwsfeZFCZSCmYh71D5xzK2FAxSCnohzQ2pUIR\n0jwlKUBqPalMpDS+F0VEZsLH3mRQmUgpmIe9Q+ccythQMUgp6Ic0NqVCEdI8JSlAaj2pTKQ0vhdF\nRGbCx95kUJlIKZiHvUPnHMrYUDFIKeiHNDalQhHSPCUpQGo9qUykNL4XRURmwsfeZFCZSCmYh71D\n5xzK2FAxSCnohzQ2pUIR0jwlKUBqPalMpDS+F0VEZsLH3mRQmUgpmIe9Q+ccythQMUgp6Ic0NqVC\nEdI8JSlAaj2pTKQ0vhdFRGbCx95kUJlI6cd6hr1DhSKUsaFikFLQD2lsSoUipHlKUoDUelKZSGl8\nL4qIzISPvcmgMpFSoQh7hwpFKGNDxSCloB/S2JQKRUjzlKQAqfWkMpHS+F4UEZkJH3uTQWUipUIR\n9g4VilDGhopBSkE/pLEpFYqQ5ilJAVLrSWUipfG9KCIyEz72JoPKREqFIuwdKhShjA0Vg5SCfkhj\nUyoUIc1TkgKk1pPKRErje1FEZCZ87E0GlYmUCkXYO1QoQhkbKgYpBf2QxqZUKEKapyQFSK0nlYmU\nxveiiMhM+NibDCoTKRWKsHeoUIQyNlQMUgr6IY1NqVCENE9JCpBaTyoTKY3vRRGRmfCxNxlUJlIq\nFGHvUKEIZWyoGKQU9EMam1KhCGmekhQgtZ5UJlIa34siIjPhY28yqEykFMzD3qFzDmVsqBikFPRD\nGptSoQhpnpIUILWeVCZqSccPaWxK40MRkZnwsTcZVCZSCuZh79A5hzI2VAxSCvohjU2pUIQ0T0kK\nkFpPCvK1pOOHNDal8aGIyEz42JsMKhMpBfOwd+icQxkbKgYpBf2QxqZUKEKapyQFSK0nBfla0vFD\nGpvS+FBEZCZ87E0GlYmUgnnYO3TOoYwNFYOUgn5IY1MqFCHNU5ICpNaTgnwt6fghjU1pfCgiMhM+\n9iaDykRKwTzsHTrnUMaGikFKQT+ksSkVipDmKUkBUutJQb6WdPyQxqY0PhQRmQkfe5NBZSKlYB72\nDp1zKGNDxSCloB/S2JQKRUjzlKQAqfWkIF9LOn5IY1MaH4qIzMSujz0Kdqn0Af3I2JTuW9g7dM6h\njA0Vg5SCfvjrX1+WCkVI85SkAKn1pHuQUsjfIh0/pLEpjQ9FRGZi18ceBbtU+oDKREr3LewdOudQ\nxobKRErhMqQykVKhCGmekhQgtZ50D1IK+Vuk44c0NqXxoYjITOz62KNgl0ofUJlI6b6FvUPnHMrY\nUJlIKVyGVCZSKhQhzVOSAqTWk+5BSiF/i3T8kMamND4UEZmJXR97FOxS6QMqEyndt7B36JxDGRsq\nEymFy5DKREqFIqR5SlKA1HrSPUgp5G+Rjh/S2JTGhyIiM7HrY4+CXSp9QGUipfsW9g6dcyhjQ2Ui\npXAZUplIqVCENE9JCpBaT7oHKYX8LdLxQxqb0vhQRGQmdn3sUbBLpQ+oTKR038LeoXMOZWyoTKQU\nLkMqEykVipDmKUkBUutJ9yClkL9FOn5IY1MaH4qIzMSujz0Kdqn0AZWJlO5b2Dt0zqGMDZWJlMJl\nSGUipUIR0jwlKUBqPekepBTyt0jHD2lsSuNDEZGZ2PWxR8EulT6gf58ipfsW9g6dcyhjQ2UipXAZ\nUplIqVCENE9JCpBaTwrytaTjhzQ2pfGhiMhM7PrYo2CXSh9QmUjpvoW9Q+ccythQmUgp6IdUJlIq\nFCHNU5ICpNaTgnwt6fghjU1pfCgiMhO7PvYo2KXSB1QmUrpvYe/QOYcyNlQmUgr6IZWJlApFSPOU\npACp9aQgX0s6fkhjUxofiojMxK6PPQp2qfQBlYmU7lvYO3TOoYwNlYmUgn5IZSKlQhHSPCUpQGo9\nKcjXko4f0tiUxociIjOx62OPgl0qfUBlIqX7FvYOnXMoY0NlIqWgH1KZSKlQhDRPSQqQWk8K8rWk\n44c0NqXxoYjITOz62KNgl0ofUJlI6b6FvUPnHMrYUJlIKeiHVCZSKhQhzVOSAqTWk4J8Len4IY1N\naXwoIjITuz72KNiVlLZQmUjp/oS9Q+ccythQmUgp6IdUJlIqFCHNU5ICpNaT7kFKIX+LdPyQxqY0\nPhQRmYldH3sU7EpKW6hMpHR/wt6hcw5lbKhMpBQuQyoTKRWKkOYpSQFS60n3IKWQv0U6fkhjUxof\niojMxK6PPQp2JaUtVCZSuj9h79A5hzI2VCZSCpchlYmUCkVI85SkAKn1pHuQUsjfIh0/pLEpjQ9F\nRGZi18ceBbuS0hYqEyndn7B36JxDGRsqEymFy5DKREqFIqR5SlKA1HrSPUgp5G+Rjh/S2JTGhyIi\nM7HrY4+CXUlpC5WJlO5P2Dt0zqGMDZWJlMJlSGUipUIR0jwlKUBqPekepBTyt0jHD2lsSuNDEZGZ\n2PWxR8GupLSFykRK9yfsHTrnUMaGykRK4TKkMpFSoQhpnpIUILWedA9SCvlbpOOHNDal8aGIyEzs\n+tijYFdS2kJlIqX7E/YOnXMoY0NlIqVwGVKZSKlQhDRPSQqQWk+6BymF/C3S8UMam9L4UERkJnzs\nTQaViZSCedg7dM6hjA2ViZTCZUhlIqVCEdI8JSlAaj0pyKc0PqSx10hzhTQ2pfGhiMhM+NibDCoT\nKQXzsHfonEMZGyoTKQX9kMpESoUipHlKUoDUelKQT2l8SGOvkeYKaWxK40MRkZnwsTcZVCZSCuZh\n79A5hzI2VCZSCvohlYmUCkVI85SkAKn1pCCf0viQxl4jzRXS2JTGhyIiM+FjbzKoTKQUzMPeoXMO\nZWyoTKQU9EMqEykVipDmKUkBUutJQT6l8SGNvUaaK6SxKY0PRURmwsfeZFCZSCmYh71D5xzK2FCZ\nSCnoh1QmUioUIc1TkgKk1pOCfErjQxp7jTRXSGNTGh+KiMyEj73JoDKRUjAPe4fOOZSxoTKRUtAP\nqUykVChCmqckBUitJwX5lMaHNPYaaa6QxqY0PhQRmQkfe5NBZSKlYB72Dp1zKGNDxSClchBSAUlp\nfEilIaUAWZLCpW6T1jml8b0oIjITPvYmg8pESsE87B0651DGhspESuUgpDKR0viQykRKIbYkhUvd\nJq1zSuN7UURkJnzsTQaViZSCedg7dM6hjA2ViZTKQUhlIqXxIZWJlEJsSQqXuk1a55TG96KIyEz4\n2JsMKhMpBfOwd+icQxkbKhMplYOQykRK40MqEymF2JIULnWbtM4pje9FEZGZ8LE3GVQmUgrmYe/Q\nOYcyNlQmUioHIZWJlMaHVCZSCrElKVzqNmmdUxrfiyIiM+FjbzKoTKQUzMPeoXMOZWyoTKRUDkIq\nEymND6lMpBRiS1K41G3SOqc0vhdFRGbCx95kUJlIKZiHvUPnHMrYUJlIqRyEVCZSGh9SmUgpxJak\ncKnbpHVOaXwviojMhI+9yaAykVIwD3uHzjmUsaFikFIBCGlsSoUipKBakgKk1pPuQUrje1FEZCZ8\n7E0GlYmUgnnYO3TOoYwNFYOUCkVIY1MqFCEF1ZIUILWedA9SGt+LIiIz4WNvMqhMpBTMw96hcw5l\nbKgYpFQoQhqbUqEIKaiWpACp9aR7kNL4XhQRmQkfe5NBZSKlYB72Dp1zKGNDxSClQhHS2JQKRUhB\ntSQFSK0n3YOUxveiiMhM+NibDCoTKQXzsHfonEMZGyoGKRWKkMamVChCCqolKUBqPekepDS+F0VE\nZsLH3mRQmUgpmIe9Q+ccythQMUipUIQ0NqVCEVJQLUkBUutJ9yCl8b0oIjITPvYmg8pE+u4d2ztU\nKEIZGyoGKRWKkMamVChCmielEBtSgNR60j1IaXwviojMhI+9yaAykVKhCHuHCkUoY0PFIKUCENLY\nlApFSPOkFGJDCpBaT7oHKY3vRRGRmfCxNxlUJlIqFGHvUKEIZWyoGKRUAEIam1KhCGmelEJsSAFS\n60n3IKXxvSgiMhM+9iaDykRKhSLsHSoUoYwNFYOUCkBIY1MqFCHNk1KIDSlAaj3pHqQ0vhdFRGbC\nx95kUJlIqVCEvUOFIpSxoWKQUgEIaWxKhSKkeVIKsSEFSK0n3YOUxveiiMhM+NibDCoTKRWKsHeo\nUIQyNlQMUioAIY1NqVCENE9KITakAKn1pHuQ0vheFBGZCR97k0FlIqVCEfYOFYpQxoaKQUoFIKSx\nKRWKkOZJKcSGFCC1nnQPUhrfiyIiM+FjbzKoTKRUKMLeoUIRytj8+teXpXIQUplIqTSEFFS3SOFS\n51REZCZ87E0GlYmUCkXYO1QoQhkbKhMpFYqQykRKhSKkYrBFCpc6pyIiM+FjbzKoTKRUKMLeoUIR\nythQmUipUIRUJlIqFCEVgy1SuNQ5FRGZCR97k0FlIqVCEfYOFYpQxobKREqFIqQykVKhCKkYbJHC\npc6piMhM+NibDCoTKRWKsHeoUIQyNlQmUioUIZWJlApFSMVgixQudU5FRGbCx95kUJlIqVCEvUOF\nIpSxoTKRUqEIqUykVChCKgZbpHCpcyoiMhO7PvYo2JV8ChpfUp6GykRK6xn2Dp1zKGNDxSClchBS\nAUlpnpDmKUkBUutJ9yClYteLIiIzsTyu94OCXcmnoPEl5WmoTKS0nmHv0DmHMjZUAFIKlyGViZTm\nCWmekhR8tZ50D1IK870oIjITy+N6PyjYlXwKGl9SnobKRErrGfYOnXMoY0MFIKVwGVKZSGmekOYp\nScFX60n3IKUw34siIjOxPK73g4Jdyaeg8SXlaahMpLSeYe/QOYcyNlQAUgqXIZWJlOYJaZ6SFHy1\nnnQPUgrzvSgiMhPL43o/KNiVfAoaX1KehspESusZ9g6dcyhjQwUgpXAZUplIaZ6Q5ilJwVfrSfcg\npTDfiyIiM7E8rveDgl3Jp6DxJeVpqEyktJ5h79A5hzI2VABSCpchlYmU5glpnpIUfLWedA9SCvO9\nKCIyE8vjej8o2JV8ChpfUp6GykRK6xn2Dp1zKGNDBSClcBlSmUhpnpDmKUnBV+tJ9yClMN+LIiIz\nsTyu94OCXcmnoPEl5Wno36FIaT3D3qFzDmVsqBik9G9UhDQ2pfEhBdWSFHy1nnQPUgrzvSgiMhPL\n43o/KNiVfAoaX1KehspESusZ9g6dcyhjQ8UgpXIQ0tiUxocUVEtS8NV60j1IKcz3oojITCyP6/2g\nYFfyKWh8SXkaKhMprWfYO3TOoYwNFYOUykFIY1MaH1JQLUnBV+tJ9yClMN+LIiIzsTyu94OCXcmn\noPEl5WmoTKS0nmHv0DmHMjZUDFIqByGNTWl8SEG1JAVfrSfdg5TCfC+KiMzE8rjeDwp2JZ+CxpeU\np6EykdJ6hr1D5xzK2FAxSKkchDQ2pfEhBdWSFHy1nnQPUgrzvSgiMhPL43o/KNiVfAoaX1KehspE\nSusZ9g6dcyhjQ8UgpXIQ0tiUxocUVEtS8NV60j1IKcz3oojITCyP6/2gYFfyKWh8SXkaKhMprWfY\nO3TOoYwNFYOUykFIY1P6cbIhzVOSgu8WKZCmNL4kzRPS2BGkMpHSdfaiiMhMLI/r/aBgV/IpaHxJ\neRoqEymtZ9g7dM6hjA0Vg5SCfkhjUyoUIc1TkoLvFimQpjS+JM0T0tgRpDKR0nX2oojITCyP6/2g\nYFfyKWh8SXkaKhMprWfYO3TOoYwNFYOUgn5IY1MqFCHNU5KC7xYpkKY0viTNE9LYEaQykdJ19qKI\nyEwsj+v9oGBX8ilofEl5GioTKa1n2Dt0zqGMDRWDlIJ+SGNTKhQhzVOSgu8WKZCmNL4kzRPS2BGk\nMpHSdfaiiMhMLI/r/aBgV/IpaHxJeRoqEymtZ9g7dM6hjA0Vg5SCfkhjUyoUIc1TkoLvFimQpjS+\nJM0T0tgRpDKR0nX2oojITCyP6/2gYFfyKWh8SXkaKhMprWfYO3TOoYwNFYOUgn5IY1MqFCHNU5KC\n7xYpkKY0viTNE9LYEaQykdJ19qKIyEwsj+v9oGBX8ilofEl5GioTKa1n2Dt0zqGMDRWDlIJ+SGNT\nKhQhzVOSgu8WKZCmNL4kzRPS2BGkMpHSdfaiiMhMLI9rmYm//dvL/v3fs3tDBSBdA51zSPOnVKpC\nGpvS+JTGhzS2JM2T0vhepPNNaXxJKgAphcuQgl1KYXWtVDRSOq+SdL41pGOPIF3LCIqIzMTyepSZ\noDKRUjAP94ZCZ7oGOueQ5k8pxIY0NqXxKY0PaWxJmiel8b1I55vS+JJUJlIKniEFu5TKwVqpTKR0\nXiXpfGtIxx5BupYRFBGZieX1KDNBZSKlYB7uDYXOdA10ziHNn1KIDWlsSuNTGh/S2JI0T0rje5HO\nN6XxJalMpBQ8Qwp2KZWDtVKZSOm8StL51pCOPYJ0LSMoIjITy+tRZoLKRErBPNwbCp3pGuicQ5o/\npRAb0tiUxqc0PqSxJWmelMb3Ip1vSuNLUplIKXiGFOxSKgdrpTKR0nmVpPOtIR17BOlaRlBEZCaW\n16PMBJWJlIJ5uDcUOtM10DmHNH9KITaksSmNT2l8SGNL0jwpje9FOt+UxpekMpFS8Awp2KVUDtZK\nZSKl8ypJ51tDOvYI0rWMoIjITCyvR5kJKhMpBfNwbyh0pmugcw5p/pRCbEhjUxqf0viQxpakeVIa\n34t0vimNL0llIqXgGVKwS6kcrJXKRErnVZLOt4Z07BGkaxlBEZGZWF6PMhNUJlIKdmHv0LWEFG5T\nuk7tS/qxsCmF+ZCCXUrlYK107JRCcUk635TGhzQ2pfEjS/cgpevvRRGRmVgeyTITFL5TCnZh79C1\nhFQmUrpO7UsqEymF+ZCCXUqBdK107JRCcUk635TGhzQ2pfEjS/cgpevvRRGRmVgeyTITFL5TCnZh\n79C1hFQmUrpO7UsqEymF+ZCCXUqBdK107JRCcUk635TGhzQ2pfEjS/cgpevvRRGRmVgeyTITFL5T\nCnZh79C1hFQmUrpO7UsqEymF+ZCCXUqBdK107JRCcUk635TGhzQ2pfEjS/cgpevvRRGRmVgeyTIT\nFL5TCnZh79C1hFQmUrpO7UsqEymF+ZCCXUqBdK107JRCcUk635TGhzQ2pfEjS/cgpevvRRGRmVge\nyTITFL5TCnZh79C1hFQmUrpO7UsqEymF+ZCCXUqBdK107JRCcUk635TGhzQ2pfEjS/cgpevvRRGR\nmVgeyTITFL5TCnZh79C1hFQmUrpO7UsqEymF+ZCCXUqBdK107JRCcUk635TGhzQ2pfEjS/cgpevv\nRRGRmVgeyTITFNBS+rcewr2hkJ+ugQpFSEE1pesMaWxK47WetEdTCvMhhc4a0r+dkdJ5hTQ2pSCd\n0lyzSYE9pTXrRRGRmVhejzITFNBSCnbh3lCZSNdAhSKkYpDSdYY0NqXxWk/aoykFz5AKQA2pGKR0\nXiGNTSmQpjTXbFKZSGnNelFEZCaW16PMBAW0lIJduDdUJtI1UKEIqRikdJ0hjU1pvNaT9mhKwTOk\nAlBDKgYpnVdIY1MKpCnNNZtUJlJas14UEZmJ5fUoM0EBLaVgF+4NlYl0DVQoQioGKV1nSGNTGq/1\npD2aUvAMqQDUkIpBSucV0tiUAmlKc80mlYmU1qwXRURmYnk9ykxQQEsp2IV7Q2UiXQMVipCKQUrX\nGdLYlMZrPWmPphQ8QyoANaRikNJ5hTQ2pUCa0lyzSWUipTXrRRGRmVhejzITFNBSCnbh3lCZSNdA\nhSKkYpDSdYY0NqXxWk/aoykFz5AKQA2pGKR0XiGNTSmQpjTXbFKZSGnNelFEZCaW16PMBIXvlIJ0\nuDdUJtI1UOgM6RqPKl1/SuNL0jytpfNKKZiHVABKUlAtSee7RbqWGtKxa0nHXysVjZTG15COndL4\nUERkJpZXqswEBbSUCkW4N1Qm0jVQoAnpGo8qXX9K40vSPK2l80opwIVUGkpSaShJ57tFupYa0rFr\nScdfKwX5lMbXkI6d0vhQRGQmlleqzAQFtJQKRbg3VCbSNVCgCekajypdf0rjS9I8raXzSinAhVQa\nSlJpKEnnu0W6lhrSsWtJx18rBfmUxteQjp3S+FBEZCaWV6rMBAW0lApFuDdUJtI1UKAJ6RqPKl1/\nSuNL0jytpfNKKcCFVBpKUmkoSee7RbqWGtKxa0nHXysF+ZTG15COndL4UERkJpZXqswEBbSUCkW4\nN1Qm0jVQoAnpGo8qXX9K40vSPK2l80opwIVUGkpSaShJ57tFupYa0rFrScdfKwX5lMbXkI6d0vhQ\nRGQmlleqzAQFtJQKRbg3VCbSNVCgCekajypdf0rjS9I8raXzSinAhVQaSlJpKEnnu0W6lhrSsWtJ\nx18rBfmUxteQjp3S+FBEZCaWV6rMBAW0lApFuDdUJtI1UKAJ6RqPKl1/SuNL0jytpfNKKcCFVBpK\nUmkoSee7RbqWGtKxa0nHXysF+ZTG15COndL4UERkJpZX6n5QIK0h/Uz7lMaPIAXskjRPSuNDCmgp\nzRPuDZ1XKpJQAShJwS6lMFiS/u2BkMaWpHlSGp/S+JI0T0hjR5CuZQRFRGZieQ3vBwXSGlKZSGn8\nCFLALknzpDQ+pDKR0jzh3tB5pSIJlYaSVCZSCn0lKeCGNLYkzZPS+JTGl6R5Qho7gnQtIygiMhPL\na3g/KJDWkMpESuNHkAJ2SZonpfEhlYmU5gn3hs4rFUmoNJSkMpFS6CtJATeksSVpnpTGpzS+JM0T\n0tgRpGsZQRGRmVhew/tBgbSGVCZSGj+CFLBL0jwpjQ+pTKQ0T7g3dF6pSEKloSSViZRCX0kKuCGN\nLUnzpDQ+pfElaZ6Qxo4gXcsIiojMxPIa3g8KpDWkMpHS+BGkgF2S5klpfEhlIqV5wr2h80pFEioN\nJalMpBT6SlLADWlsSZonpfEpjS9J84Q0dgTpWkZQRGQmltfwflAgrSGViZTGjyAF7JI0T0rjQyoT\nKc0T7g2dVyqSUGkoSWUipdBXkgJuSGNL0jwpjU9pfEmaJ6SxI0jXMoIiIjOxvIb3g4KqfpJKUEph\nviTNs0U6Rrg3VCZSkYRKQ0n63KX0Y09LUjkJaWxJmiel8SmNL0nzhDR2BOlaRlBEZCaW1/B+0Itc\nP0lBPqUwX5Lm2SIdI9wbKhOpSEKloSR97lIKfSUp4IY0tiTNk9L4lMaXpHlCGjuCdC0jKCIyE8tr\neD/oRa6fpCCfUpgvSfNskY4R7g2ViVQkodJQkj53KYW+khRwQxpbkuZJaXxK40vSPCGNHUG6lhEU\nEZmJ5TW8H/Qi109SkE8pzJekebZIxwj3hspEKpJQaShJn7uUQl9JCrghjS1J86Q0PqXxJWmekMaO\nIF3LCIqIzMTyGt4PepHrJynIpxTmS9I8W6RjhHtDZSIVSag0lKTPXUqhryQF3JDGlqR5Uhqf0viS\nNE9IY0eQrmUERURmYnkN7we9yPWTFORTCvMlaZ4t0jHCvaEykYokVBpK0ucupdBXkgJuSGNL0jwp\njU9pfEmaJ6SxI0jXMoIiIjOxvIb3g17k+kkK8imF+ZI0zxbpGOHeUJlIRRIqDSXpc5dS6CtJATek\nsSVpnpTGpzS+JM0T0tgRpGsZQRGRmVhewzITFOTTUXnx4vlSINW+XAMFu5SKdEhFuqS0he5BSs+y\nLV6CxpYUEZmJla9uGRV68aWjQqWhJIVY7cs1UJlIqVCEFFRLSlvoHqT0LNviJWhsSRGRmVj56pZR\noRdfOipUGkpSiNW+XAOViZQKRUhBtaS0he5BSs+yLV6CxpYUEZmJla9uGRV68aWjQqWhJIVY7cs1\nUJlIqVCEFFRLSlvoHqT0LNviJWhsSRGRmVj56pZRoRdfOipUGkpSiNW+XAOViZQKRUhBtaS0he5B\nSs+yLV6CxpYUEZmJla9uGRV68aWjQqWhJIVY7cs1UJlIqVCEFFRLSlvoHqT0LNviJWhsSRGRmVj5\n6pZRoRdfOipUGkpSiNW+XAOViZQKRUhBtaS0hZ5XtbwEjU1FRGR5d99/lUmgF2I6KlQaSlKI1b5c\nA5WJlApFSKWhpLSFnle1vASNTUVEZHl333+VSaAXYjoqVBpKUojVvlwDlYmUCkVIpaGktIWeV7W8\nBI1NRURkeXfff5VJoBdiOipUGkpSiNW+XAOViZQKRUiloaS0hZ5XtbwEjU1FRGR5d99/lUmgF2I6\nKlQaSlKI1b5cA5WJlApFSKWhpLSFnle1vASNTUVEZHl333+VSaAXYjoqVBpKUojVvlwDlYmUCkVI\npaGktIWeV7W8BI1NRURkeXfff5VJoBdiOipUGkpSiNW+XAOViZQKRUiloaS0hZ5XtbwEjU1FRGR5\nd99/lUmgF2I6KlQaSlKI1b5cA5WJlApFSKUhpc9JKG2he5PS/dniJWhsSRGRmVj56pZRoRdfOipU\nGkpSiNW+XAOViZQKRUhBNaXPSShtoXuT0v3Z4iVobEkRkZlY+eqWUaEXXzoqVBpKUojVvlwDlYmU\nCkVIQTWlz0kobaF7k9L92eIlaGxJEZGZWPnqllGhF186KlQaSlKI1b5cA5WJlApFSEE1pc9JKG2h\ne5PS/dniJWhsSRGRmVj56pZRoRdfOipUGkpSiNW+XAOViZQKRUhBNaXPSShtoXuT0v3Z4iVobEkR\nkZlY+eqWUaEXXzoqVBpKUojVvlwDlYmUCkVIQTWlz0kobaF7k9L92eIlaGxJEZGZWPnqllGhF186\nKlQaSlKI1b5cA5WJlApFSEG1pLSF7kFKz7ItXoLGpiIisry777/KJNALMR0VKg0lKcRqX66BykRK\nhSKkoFpS2kL3IKVn2RYvQWNTERFZ3t33X2US6IWYjgqVhpIUYrUv10BlIqVCEVJQLSltoXuQ0rNs\ni5egsamIiCzv7vuvMgn0QkxHhUpDSQqx2pdroDKRUqEIKaiWlLbQPUjpWbbFS9DYVERElnf3/VeZ\nBHohpqNCpaEkhVjtyzVQmUipUIQUVEtKW+gepPQs2+IlaGwqIiLLu/v+q0wCvRDTUaHSUJJCrPbl\nGqhMpFQoQgqqJaUtdA9SepZt8RI0NhURkeXdff9VJoFeiOmoUGkoSSFW+3INVCZSKhQhBdWS0ha6\nByk9y7Z4CRqbiojI8u6+/yqTQC/EdFSoNJSkEKt9uQYqEykVipCCaklpCz2vankJGpuKiMjy7r7/\nKpNAL8R0VKg0lKQQq325BioTKRWKkEpDSWkLPa9qeQkam4qIyPLuvv8qk0AvxHRUqDSUpBCrfbkG\nKhMpFYqQSkNJaQs9r2p5CRqbiojI8u6+/yqTQC/EdFSoNJSkEKt9uQYqEykVipBKQ0lpCz2vankJ\nGpuKiMjy7r7/KpNAL8R0VKg0lKQQq325BioTKRWKkEpDSWkLPa9qeQkam4qIyPLuvv8qk0AvxHRU\nqDSUpBCrfbkGKhMpFYqQSkNJaQs9r2p5CRqbiojI8u6+/yqTQC/EdFSoNJSkEKt9uYa//dvLUqEI\nqTSUlLbQ86qWl6CxJUVEZmLlq1tGhV586ahQaShJIVb7cg1UJlIqFCGVhpLSFnpe1fISNLakiMhM\nrHx1y6jQiy8dFSoNJSnEal+ugcpESoUipNJQUtpCz6taXoLGlhQRmYmVr24ZFXrxpaNCpaEkhVjt\nyzVQmUipUIRUGkpKW+h5VctL0NiSIiIzsfLVLaNCL750VKg0lKQQq325BioTKRWKkEpDSWkLPa9q\neQkaW1JEZCZWvrplVOjFl44KlYaSFGK1L9dAZSKlQhFSaSgpbaHnVS0vQWNLiojMxMpXt4wKvfjS\nUaHSUJJCrPblGqhMpFQoQioNJaUt9Lyq5SVobEkRkZlY+eqWUaEXXzoqVBpKUojVvlwDlYmUCkVI\npaGktIXuQUrPsi1egsaWFBGZiZWvbhkVevGlo0KloSSFWO3LNVCZSKlQhBRUS0pb6B6k9Czb4iVo\nbEkRkZlY+eqWUaEXXzoqVBpKUojVvlwDlYmUCkVIQbWktIXuQUrPsi1egsaWFBGZiZWvbhkVevGl\no0KloSSFWO3LNVCZSKlQhBRUS0pb6B6k9Czb4iVobEkRkZlY+eqWUaEXXzoqVBpKUojVvlwDlYmU\nCkVIQbWktIXuQUrPsi1egsaWFBGZiZWvbhkVevGlo0KloSSFWO3LNVCZSKlQhBRUS0pb6B6k9Czb\n4iVobEkRkZlY+eqWUaEXXzoqVBpKUojVvlzDr399WSoUIQXVktIWugcpPcu2eAkam4qIyPLuvv8q\nk0AvxHRUqDSUpBCrfbkGKhMpFYqQgmpJaQvdg5SeZVu8BI1NRURkeXfff5VJoBdiOipUGkpSiNW+\nXAOViZQKRUhBtaS0he5BSs+yLV6CxqYiIrK8u++/yiTQCzEdFSoNJSnEal+ugcpESoUipKBaUtpC\n9yClZ9kWL0FjUxERWd7d919lEuiFmI4KlYaSFGK1L9dAZSKlQhFSUC0pbaF7kNKzbIuXoLGpiIgs\n7+77rzIJ9EJMR4VKQ0kKsdqXa6AykVKhCCmolpS20D1I6Vm2xUvQ2FRERJZ39/1XmQR6IaajQqWh\nJIVY7cs1UJlIqVCEFFRLSlvoHqT0LNviJWhsKiIiy7v7/qtMAr0Q01Gh0lCSQqz25Rro36dIqVCE\nFFRLSlvoHqT0LNviJWhsKiIiy7v7/qtMAr0Q01Gh0lCSQqz25RqoTKRUKEIKqiWlLXQPUnqWbfES\nNDYVEZHl3X3/VSaBXojpqFBpKEkhVvtyDVQmUioUIQXVktIWugcpPcu2eAkam4qIyPLuvv8qk0Av\nxHRUqDSUpBCrfbkGKhMpFYqQgmpJaQvdg5SeZVu8BI1NRURkeXfff5VJoBdiOipUGkpSiNW+XAOV\niZQKRUhBtaS0he5BSs+yLV6CxqYiIrK8u++/yiTQCzEdFSoNJSnEal+ugcpESoUipKBaUtpC9yCl\nZ9kWL0FjUxERWd7d919lEuiFmI4KlYaSFGK1L9dAZSKlQhFSUE3pcxJKW+ge1PISNDYVEZHl3X3/\nVSaBXojpqFBpKEkhVvtyDVQmUioUIZWJlD4nobSF7kEtL0FjUxERWd7d919lEuiFmI4KlYaSFGK1\nL9dAZSKlQhFSmUjpcxJKW+ge1PISNDYVEZHl3X3/VSaBXojpqFBpKEkhVvtyDVQmUioUIZWJlD4n\nobSF7kEtL0FjUxERWd7d919lEuiFmI4KlYaSFGK1L9dAZSKlQhFSmUjpcxJKW+ge1PISNDYVEZHl\n3X3/VSaBXojpqFBpKEkhVvtyDVQmUioUIZWJlD4nobSF7kEtL0FjUxERWd7d919lEuiFmI4KlYaS\nFGK1L9dAZSKlQhFSmUjpcxJKW+ge1PISNDYVEZHl3X3/VSaBXojpqFBpKEkhVvtyDVQmUioUIZWJ\nktIWugcpPcu2eAkam4qIyPLuvv8qk0AvxHRUqDSUpBCrfbkGKhMpFYqQgmpJaQvdg5SeZVu8BI1N\nRURkeXfff5VJoBdiOipUGkpSiNW+XAOViZQKRUhBtaS0he5BSs+yLV6CxqYiIrK8u++/yiTQCzEd\nFSoNJSnEal+ugcpESoUipKBaUtpC9yClZ9kWL0FjUxERWd7d919lEuiFmI4KlYaSFGK1L9dAZSKl\nQhFSUC0pbaF7kNKzbIuXoLGpiIgs7+77rzIJ9EJMR4VKQ0kKsdqXa6AykVKhCCmolpS20D1I6Vm2\nxUvQ2FRERJZ39/1XmQR6IaajQqWhJIVY7cs1UJlIqVCEFFRLSlvoeVXLS9DYVERElnf3/VeZBHoh\npqNCpaEkhVjtyzVQmUipUIRUGkpKW+h5VctL0NhURESWd/f9V5kEeiGmo0KloSSFWO3LNVCZSKlQ\nhFQaSkpb6HlVy0vQ2FRERJZ39/1XmQR6IaajQqWhJIVY7cs1UJlIqVCEVBpKSlvoeVXLS9DYVERE\nlnf3/VeZBHohpqNCpaEkhVjtyzVQmUipUIRUGkpKW+h5VctL0NhURESWd/f9V5kEeiGmo0KloSSF\nWO3LNVCZSKlQhFQaSkpb6HlVy0vQ2FRERJZ39/1XmQR6IaajQqWhJIVY7cs1UJlIqVCEVBpKSlvo\neVXLS9DYVERElnf3/VeZBHohpqNCpaEkhVjtyzVQmUipUIRUGlL6nITSFroHtbwEjU1FRGR5d99/\nlUmgF2I6KlQaSlKI1b5cA5WJlApFSGUipc9JKG2he1DLS9DYVERElnf3/VeZBHohpqNCpaEkhVjt\nyzVQmUipUIRUJlL6nITSFroHtbwEjU1FRGR5d99/lUmgF2I6KlQaSlKI1b5cA5WJlApFSGUipc9J\nKG2he1DLS9DYVERElnf3/VeZBHohpqNCpaEkhVjtyzVQmUipUIRUJlL6nITSFroHtbwEjU1FRGR5\nd99/lUmgF2I6KlQaSlKI1b5cA5WJlApFSGUipc9JKG2he1DLS9DYVERElnf3/VeZBHohpqNCpSGk\noKrjuAYqEykVipDKRElpCz2vSj4FjU8vQWNTERFZ3t33X2US6IWYjgoVipCCqo7jGqhMpFQoQioN\nJaUt9Lwq+RQ0Pr0EjU1FRGR5d99/lUmgF2I6KlQoQgqqOo5roDKRUqEIqTSUlLbQ86rkU9D49BI0\nNhURkeXdff9VJoFeiOmoUKEIKajqOK6BykRKhSKk0lBS2kLPq5JPQePTS9DYVERElnf3/VeZBHoh\npqNChSKkoKrjuAYqEykVipBKQ0lpCz2vSj4FjU8vQWNTERFZ3t33X2US6IWYjgoVipCCqo7jGqhM\npFQoQioNJaUt9Lwq+RQ0Pr0EjU1FRGR5d99/lUmgF2I6KlQoQgqqOo5roDKRUqEIqTSUlLbQ86rk\nU9D49BI0NhURkeXdff9VZFioUJSkEKt9uQYqEymVg5IUIENpC92DWl6CxqYiIrK8u++/igwLlYaS\nFGK1L9dAZSKl0lCSAmQobaF7UMtL0NhURESWd/f9V5FhodJQkkKs9uUaqEykVBpKUoAMpS10D2p5\nCRqbiojI8u6+/yoyLFQaSlKI1b5cA5WJlEpDSQqQobSF7kEtL0FjUxERWd7d919FhoVKQ0kKsdqX\na6AykVJpKEkBMpS20D2o5SVobCoiIsu7+/6ryLBQaShJIVb7cg1UJlIqDSUpQIbSFroHtbwEjU1F\nRGR5d99/lUmgF2I6KlQaSlKI1b5cA5WJlH6cbEhloqS0hZ5X6RponvQSNDYVEZHl3X3/VSaBXojp\nqFBpKEkhVvtyDVQmUioUIZWGktIWel6la6B50kvQ2FRERJZ39/1XmQR6IaajQqWhJIVY7cs1UJlI\nqVCEVBpKSlvoeZWugeZJL0FjUxERWd7d919lEuiFmI4KlYaSFGK1L9dAZSKlQhFSaSgpbaHnVboG\nmie9BI1NRURkeXfff5VJoBdiOipUGkpSiNW+XAOViZQKRUiloaS0hZ5X6RponvQSNDYVEZHl3X3/\nVSaBXojpqFBpKEkhVvtyDVQmUioUIZWGktIWel6la6B50kvQ2FRERJZ39/1XmQR6IaajQqWhJIVY\n7cs1UJlIqVCEVBpKSlvoeZWugeZJL0FjUxERWd7d919FhuWXv2QpqKZUNErSPCmN122ugcpESuUg\npJBYUtpC9yC9BI1N10DzpD1D55tegsZqXUWOwBKHRMaGCkVI4T+lEFuS5klpvG5zDVQmUioUIb3g\nS0pb6B6kl6Cx6RponrRn6HzTS9BYravIEVjikMjYUKEIKfynFGJL0jwpjddtroHKREqFIqQXfElp\nC92D9BI0Nl0DzZP2DJ1vegkaq3UVOQJLHBIZGyoUIYX/lEJsSZonpfG6zTVQmUipUIT0gi8pbaF7\nkF6CxqZroHnSnqHzTS9BY7WuIkdgiUMiY0OFIqTwn1KILUnzpDRet7kGKhMpFYqQXvAlpS10D9JL\n0Nh0DTRP2jN0vuklaKzWVeQILHFIZGyoUIQU/lMKsSVpnpTG6zbXQGUipUIR0gu+pLSF7kF6CRqb\nroHmSXuGzje9BI3VuoocgSUOyUzQwywdFQr5IRWNlEKs9uUafv3ry1LRKEk/gjakz4/Wk+5BSkWx\nF0VEZmKJXjIT9MJOR4UKRUhlIqUQq325BioTKZWGkhRiQ/r8aD3pHqQU5ntRRGQmluglM0Ev7HRU\nqFCEVCZSCrHal2ugMpFSaShJITakz4/Wk+5BSmG+F0VEZmKJXjIT9MJOR4UKRUhlIqUQq325BioT\nKZWGkhRiQ/r8aD3pHqQU5ntRRGQmluglM0Ev7HRUqFCEVCZSCrHal2ugMpFSaShJITakz4/Wk+5B\nSmG+F0VEZmKJXjIT9MJOR4UKRUhlIqUQq325BioTKZWGkhRiQ/r8aD3pHqQU5ntRRGQmluglraCg\nk/7FX1z2r/6KpXlSGh/S/CkFu5ACe0+KiIiIyG0xkjWEwn9KIT+lchDSPCmND2n+lApFSEG+J0VE\nRETkthjJGkLhP6WQn1I5CGmelMaHNH9KhSKkIN+TIiIiInJbjGQNofCfUshPqRyENE9K40OaP6VC\nEVKQ70kRERERuS1GsoZQ+E8p5KdUDkKaJ6XxIc2fUqEIKcj3pIiIiIjcFiNZQyj8pxTyUyoHIc2T\n0viQ5k+pUIQU5HtSRERERG6LkawhFP5TCvkplYOQ5klpfEjzp1QoQgryPSkiIiIit8VI1hD6Ofgp\nFYCUSkNI86Q0PqT5U/r3HEpSCdkilYaSIiLC0L/7scU10Dz6WJEjYCRrCIX/lEJ+SuUgpHlSGh/S\n/CmVhpJUDLZIpaGkiIgwFGC3uAaaRx8rcgSMZA2h8J9SyE+pHIQ0T0rjQ5o/pdJQkorBFqk0lBQR\nEYYC7BbXQPPoY0WOgJGsIRT+Uwr5KZWDkOZJaXxI86dUGkpSMdgilYaSIiLCUIDd4hpoHn2syBEw\nkjWEwn9KIT+lchDSPCmND2n+lEpDSSoGW6TSUFJERBgKsFtcA82jjxU5AkayhlD4Tynkp1QOQpon\npfEhzZ9SaShJxWCLVBpKiogIQwF2i2ugefSxIkfASNYQCv8phfyUykFI86Q0PqQgn1JgD2nsFukY\nKY0PaWwqx4RevDV8ChofioiIyGOMZA2h8J9SmUipHIQ0T0rjQwrsKQX2kMZukY6R0viQxqZyTCjM\n1/ApaHwoIiIijzGSNYTCf0plIqVyENI8KY0PKbCnFNhDGrtFOkZK40Mam8oxoTBfw6eg8aGIiIg8\nxkjWEAr/KZWJlMpBSPOkND6kwJ5SYA9p7BbpGCmND2lsKseEwnwNn4LGhyIiIvIYI1lDKPynVCZS\nKgchzZPS+JACe0qBPaSxW6RjpDQ+pLGpHBMK8zV8ChofioiIyGOMZA2h8J9SmUipHIQ0T0rjQwrs\nKQX2kMZukY6R0viQxqZyTCjM1/ApaHwoIiIijzGSNYTCf0plIqVyENI8KY0PKbCnFNhDGrtFOkZK\n40Mam8oxoTBfw6eg8aGIiIg8xkjWEAr56V/8xWWpaIQ0T0rjS9KxQwryW6TSUJLmSUVERETkthjJ\nGkLhP6Uwn1IBCGmelMaXpGOHFOS3SKWhJM2TioiIiMhtMZI1hMJ/SmE+pQIQ0jwpjS9Jxw4pyG+R\nSkNJmicVERERkdtiJGsIhf+UwnxKBSCkeVIaX5KOHVKQ3yKVhpI0TyoiIiIit8VI1hAK/ymF+ZQK\nQEjzpDS+JB07pCC/RSoNJWmeVERERERui5GsIRT+UwrzKRWAkOZJaXxJOnZIQX6LVBpK0jypiIiI\niNwWI1lDKPynFOZLUjHYIh0jpCC/RSoNJWmeVERERERui5GsIVQmUgrzJakYbJGOEVKQ3yKVhpI0\nTyoiIiIit8VI1hAqEymF+ZJUDLZIxwgpyG+RSkNJmicVERERkdtiJGsIlYmUwnxJKgZbpGOEFOS3\nSKWhJM2TioiIiMhtMZI1hMpESmG+JBWDLdIxQgryW6TSUJLmSUVERETkthjJGkJlIqUwX5KKwRbp\nGCEF+S1SaShJ86QiIiIicluMZA2hMpFSmC9JxWCLdIyQgvwWqTSUpHlSEREREbkth4tk//zPl701\nFNhTCtLpL3/J0jwpjQ+p0KQ0T0hBfot0jSmdc0jzpCIiIiJyWw4XyahMpLeGAntKATulkB3SPCmN\nD6lMpDRPSEF+i3SNKZ1zSPOkIiIiInJbDhfJqEykt4YCe0oBO6WQHdI8KY0PqUykNE9IQX6LdI0p\nnXNI86QiIiIiclsOF8moTKS3hgJ7SgE7pZAd0jwpjQ+pTKQ0T0hBfot0jSmdc0jzpCIiIiJyWw4X\nyahMpLeGAntKATulkB3SPCmND6lMpDRPSEF+i3SNKZ1zSPOkIiIiInJbDhfJqEykt4YCe0oBO6WQ\nHdI8KY0PqUykNE9IQX6LdI0pnXNI86QiIiIicluMZA35+7+/LIX89G//lqV5UhofUigvSUVji3SM\nlApFSAUklWPy7t2+0uckpLEpjQ/pP1pskY5dkuYZQbqWlMaXpHl6UURkJpYYJ62gcJJSmUipHIQ0\nT0rjQwryJakYbJGOkVKhCKlMpHJMKKRtkT4nIY1NaXxI4XaLdOySNM8I0rWkNL4kzdOLIiIzscQ4\naQWFk5TKRErlIKR5UhofUpAvScVgi3SMlApFSGUilWNCIW2L9DkJaWxK40MKt1ukY5ekeUaQriWl\n8SVpnl4UEZmJJcZJKyicpFQmUioHIc2T0viQgnxJKgZbpGOkVChCKhOpHBMKaVukz0lIY1MaH1K4\n3SIduyTNM4J0LSmNL0nz9KKIyEwsMU5aQeEkpTKRUjkIaZ6UxocU5EtSMdgiHSOlQhFSmUjlmFBI\n2yJ9TkIam9L4kMLtFunYJWmeEaRrSWl8SZqnF0VEZmKJcdIKCicplYmUykFI86Q0PqQgX5KKwRbp\nGCkVipDKRCrHhELaFulzEtLYlMaHFG63SMcuSfOMIF1LSuNL0jy9KCIyE0uMk1ZQOEmpTKRUDkKa\nJ6XxIQX5klQMtkjHSKlQhFQmUjkmFNK2SJ+TkMamND6kcLtFOnZJmmcE6VpSGl+S5ulFEZGZWGKc\ntILCSUoFIKXxa6UgX5KKTvpXf/V8qRikND6kcpJS0AifgsaHT0HjtZ60f1P6nJSk/RvS2JIUIEvS\ndYwuXWdK42dTRGQmlsgoraCXTkrBJaXxa6XSUJKCWEoFoCSViZTGh1QmUgqk4VPQ+PApaLzWk/Zv\nSp+TkrR/QxpbkkJ0SbqO0aXrTGn8bIqIzMQSGaUV9NJJKbikNH6tVBpKUhBLqQCUpDKR0viQykRK\ngTR8ChofPgWN13rS/k3pc1KS9m9IY0tSiC5J1zG6dJ0pjZ9NEZGZWCKjtIJeOikFl5TGr5VKQ0kK\nYikVgJJUJlIaH1KZSCmQhk9B48OnoPFaT9q/KX1OStL+DWlsSQrRJek6RpeuM6XxsykiMhNLZJRW\n0EsnpeCS0vi1UmkoSUEspQJQkspESuNDKhMpBdLwKWh8+BQ0XutJ+zelz0lJ2r8hjS1JIbokXcfo\n0nWmNH42RURmYomM0gp66aQUXFIav1YqDSUpiKVUAEpSmUhpfEhlIqVAGj4FjQ+fgsZrPWn/pvQ5\nKUn7N6SxJSlEl6TrGF26zpTGz6aIyEwskXE/6KHaWgoNKYWDllJgby2tWUrnHNKPeE2pAJSke1OS\n5knlmNAeTamEhCIiInIblpi5H/Tyby0F0pQCc0sp5LeW1iylcw6pTKQU8kvSvSlJ86RyTGiPplQo\nQhEREbkNS8zcD3r5t5YCaUqBuaUU8ltLa5bSOYdUJlIK+SXp3pSkeVI5JrRHUyoUoYiIiNyGJWbu\nB738W0uBNKXA3FIK+a2lNUvpnEMqEymF/JJ0b0rSPKkcE9qjKRWKUERERG7DEjP3g17+raVAmlJg\nbimF/NbSmqV0ziGViZRCfkm6NyVpnlSOCe3RlApFKCIiIrdhiZn7QS//1lIgTSkwt5RCfmtpzVI6\n55DKREohvyTdm5I0TyrHhPZoSoUiFBERkduwxMz9oJd/aymQphSYW0ohv7W0Zimdc0hlIqWQX5Lu\nTUmaJ5VjQns0pUIRioiIyG1YYuZ+UCBtLYXOlMaHFGK3SMcIKeS3lgJaSfq3IVJa55TWJqS1KUnz\npHJMaC+m9O8ihCIiInIblpi5HxQGW0vhNqXxIQXVLdIxQgr5raWAVpLKRErrnNLahLQ2JWmeVI4J\n7cWUCkUoIiIit2GJmftBYbC1FG5TGh9SUN0iHSOkkN9aCmglqUyktM4prU1Ia1OS5knlmNBeTKlQ\nhCIiInIblpi5HxQGW0vhNqXxIQXVLdIxQgr5raWAVpLKRErrnNLahLQ2JWmeVI4J7cWUCkUoIiIi\nt2GJmftBYbC1FG5TGh9SUN0iHSOkkN9aCmglqUyktM4prU1Ia1OS5knlmNBeTKlQhCIiInIblpi5\nHxQGW0vhNqXxIQXVLdIxQgr5raWAVpLKRErrnNLahLQ2JWmeVI4J7cWUCkUoIiIit2GJmftBL/mU\ngkENKXSmND6kEFuS5ilJIb+1dF4pXWdIP0o2paKRUtEI6d6UpHlSOSb0HEnpx8mGIiIichuWmLkf\n9PJPKcTWkAJpSuNDCtIlaZ6SFPJbS+eV0nWGVCZSKhMpFYCQ7k1JmieVY0LPkZQKRSgiIiK3YYmZ\n+0Ev/5RCbA0pkKY0PqQgXZLmKUkhv7V0XildZ0hlIqUykVIBCOnelKR5Ujkm9BxJqVCEIiIichuW\nmLkf9PJPKcTWkAJpSuNDCtIlaZ6SFPJbS+eV0nWGVCZSKhMpFYCQ7k1JmieVY0LPkZQKRSgiIiK3\nYYmZ+0Ev/5RCbA0pkKY0PqQgXZLmKUkhv7V0XildZ0hlIqUykVIBCOnelKR5Ujkm9BxJqVCEIiIi\nchuWmLkf9PJPKcTWkAJpSuNDCtIlaZ6SFPJbS+eV0nWGVCZSKhMpFYCQ7k1JmieVY0LPkZQKRSgi\nIiK3YYmZ+0Ev/5RCbA0pkKY0PqQgXZLmKUkhv7V0XildZ0hlIqUykVIBCOnelKR5Ujkm9BxJqVCE\nIiIichuWmLkf9PJvLYXilIJ0Synkt5bWJaUwH754cVkqEyWpGJSkeVI5JvT5TqlQhCIiInIblpi5\nH/Tyby2F5ZSCfksp5LeW1iWlQhFSmUgp5Jek0lCS5knlmNDnO6VCEYqIiMhtWGLmftDLv7UUllMK\n+i2lkN9aWpeUCkVIZSKlkF+SSkNJmieVY0Kf75QKRSgiIiK3YYmZ+0Ev/9ZSWE4p6LeUQn5raV1S\nKhQhlYmUQn5JKg0laZ5Ujgl9vlMqFKGIiIjchiVm7ge9/FtLYTmloN9SCvmtpXVJqVCEVCZSCvkl\nqTSUpHlSOSb0+U6pUIQiIiJyG5aYuR/08m8theWUgn5LKeS3ltYlpUIRUplIKeSXpNJQkuZJ5ZjQ\n5zulQhGKiIjIbVhi5n5QUG0tBdKUAnNLKeS3lspOSQryKV1nSbpvJWmeVI4J7cWUikYoIiIit2GJ\nmftBYbC1VCZSCqQtpZDfWgpoJalMpHSdJem+laR5UjkmtBdTKhShiIiI3IYlZu4HhcHWUplIKZC2\nlEJ+aymglaQykdJ1lqT7VpLmSeWY0F5MqVCEIiIichuWmLkfFAZbS2UipUDaUgr5raWAVpLKRErX\nWZLuW0maJ5VjQnsxpUIRioiIyG1YYuZ+UBhsLZWJlAJpSynkt5YCWkkqEyldZ0m6byVpnlSOCe3F\nlApFKCIiIrdhiZn7QWGwtVQmUgqkLaWQ31oKaCWpTKR0nSXpvpWkeVI5JrQXUyoUoYiIiNyGJWbu\nB4XB1lKZSCmQtpRCfmspoJWkMpHSdZak+1aS5knlmNBeTKlQhCIiInIblpi5HxRi9ZMUiFMKTiUp\nfJcUGQXavykVilBERERuwxJ194OCtH6SykRKpaEkha2SIqNA+zelQhGKiIjIbVii7n5QkNZPUplI\nqTSUpLBVUmQUaP+mVChCERERuQ1L1N0PCtL6SSoTKZWGkhS2SoqMAu3flApFKCIiIrdhibr7QUFa\nP0llIqXSUJLCVkmRUaD9m1KhCEVEROQ2LFF3PyhI6yepTKRUGkpS2CopMgq0f1MqFKGIiIjchiXq\n7gcFaf0klYmUSkNJmielIBaKjALt35QKRSgiIiK3YYm6+0FBWj9J4T+l0lCS5kkpiIUio0D7N6VC\nEYqIiMhtWKLuflCQ1k9S+E+pNJSkeVIKYqHIKND+TalQhCIiInIblqi7HxSk9ZMU/lMqDSVpnpSC\nWCgyCrR/UyoUoYiIiNyGJeruBwVp/SSF/5RKQ0maJ6UgFoqMAu3flApFKCIiIrdhibr7QUFaP0nh\nP6XSUJLmSSmIhSKjQPs3pUIRioiIyG1You5+UJDWT1L4T6k0lKR5Ugpiocgo0P5NqVCEIiIichuW\nqLsfL15clkL2bFL4T6k0pBSqQponpfGhyCjQ/k2pUIQiIiJyG5aoux9UJlIK2bNJ4T+lMpFSqApp\nnpTGhyKjQPs3pUIRioiIyG1You5+UJlIKWTPJoX/lMpESqEqpHlSGh+KjALt35QKRSgiIiK3YYm6\n+0FlIqWQPZsU/lMqEymFqpDmSWl8KDIKtH9TKhShiIiI3IYl6u4HlYmUQvZsUvhPqUykFKpCmiel\n8aHIKND+TalQhCIiInIblqi7H1QmUgrZs0nhP6UykVKoCmmelMaHIqNA+zelQhGKiIjIbVii7n5Q\nmShJ4fuoUvhPqUykFKpCmiel8aHIKND+TalQhCIiInIblqi7H1QaSlL4PqoU/lMqEymFqpDmSWl8\nKDIKtH9TKhShiIiI3IYl6u4HlYaSFL6PKoX/lMpESqEqpHlSGh+KjALt35QKRSgiIiK3YYm6+0Gl\noSSF76NK4T+lMpFSqAppnpTGhyKjQPs3pUIRioiIyG1You5+UGkoSeH7qFL4T6lMpBSqQponpfGh\nyCjQ/k2pUIQiIiJyG5aoux9UGkpS+D6qFP5TKhMphaqQ5klpfCgyCrR/UyoUoYiIiNyGJeruB5WG\nkhS+jyqF/5TKREqhKqR5UhofiowC7d+UCkUoIiIit2GJuvtBQVo/SeE/pTJRksJWSZFRoP2bUqEI\nRURE5DYsUXc/KEjrJ6lMpFQaSlLYKikyCrR/UyoUoYiIiNyGJeruBwVp/SSViZRKQ0kKWyVFRoH2\nb0qFIhQREZHbsETd/aAgrZ+kMpFSaShJYaukyCjQ/k2pUIQiIiJyG5aoux8UpPWTVCZSKg0lKWyV\nFBkF2r8pFYpQREREbsMSdfeDgrR+kspESqWhJIWtkiKjQPs3pUIRioiIyG1You5+0I+MLUnhO6Xx\nJWmeXvyrv7osBaeUSkhI86Q0PlzDP//zZUVqQZ+FlApFKCIiIrdhibr7QSG/JIXvlMaXpHl6kcJ/\nSsEppXIQ0jwpjQ/XQGUiFakFfRZSKhShiIiI3IYl6u4HhfySFL5TGl+S5ulFCv8pBaeUykFI86Q0\nPlwDlYlUpBb0WUipUIQiIiJyG5aoux8U8ktS+E5pfEmapxcp/KcUnFIqByHNk9L4cA1UJlKRWtBn\nIaVCEYqIiMhtWKLuflDIL0nhO6XxJWmeXqTwn1JwSqkchDRPSuPDNVCZSEVqQZ+FlApFKCIiIrdh\nibr7QSG/JIXvlMaXpHl6kcJ/SsEppXIQ0jwpjQ/XQGUiFakFfRZSKhShiIiI3IYl6u4HhfySFL5T\nGl+S5ulFCv8pBaeUykFI86Q0PlwDlYlUpBb0WUipUIQiIiJyG5aoux8UpFtLRSOl8S2lcJRSQErp\n36gIaZ6Uxocio0D7OqW9HbaCCvYWRURERmeJuvtBQbq1VCZSGt9SCkcplYmUwlNI86Q0PhQZBdrX\nKe3tsBVUDLYoIiIyOkvU3Q8K0q2lMpHS+JZSOEqpTKQUnkKaJ6Xxocgo0L5OaW+HraBisEUREZHR\nWaLuflCQbi2ViZTGt5TCUUplIqXwFNI8KY0PRUaB9nVKeztsBRWDLYqIiIzOEnX3g4J0a6lMpDS+\npRSOUioTKYWnkOZJaXwoMgq0r1Pa22ErqBhsUUREZHSWqLsfFKRbS2UipfEtpXCUUplIKTyFNE9K\n40ORUaB9ndLeDltBxWCLIiIio7NE3f2gIN1aKhMpjW8phaOUykRK4SmkeVIaH4qMAu3rlD4nYSuo\nGGxRRERkdJaoux8UpFtLZSKl8S2lcJRSQEqpHIQ0T0rjQ5FRoH2d0uckbAUVgy2KiIiMzhJ194OC\ndGupTKQ0vqUUjlIKSCmVg5DmSWl8KDIKtK9T+pyEraBisEUREZHRWaLuflCQbi2ViZTGt5TCUUoB\nKaVyENI8KY0PRUaB9nVKn5OwFVQMtigiIjI6S9TdDwrSraUykdL4llI4SikgpVQOQponpfGhyCjQ\nvk7pcxK2gorBFkVEREZnibr7QUG6tVQmUhrfUgpHKQWklMpBSPOkND4UGQXa1yl9TsJWUDHYooiI\nyOgsUXc/KEi3lspESuNbSuEopYCUUjkIaZ6Uxocio0D7OqXPSdgKKgZbFBERGZ0l6u4HBWn9JIWj\nlAJSSuUgpHlSGh+KjALt65Q+J6GIiIjchiXq7gcFaf0khaOUAlJK5SCkeVIaH4qMAu3rlD4noYiI\niNyGJeruBwVp/SSFo5QCUkrlIKR5UhofiowC7euUPiehiIiI3IYl6u4HBWn9JIWjlAJSSuUgpHlS\nGh+KjALt65Q+J6GIiIjchiXq7gcFaf0khaOUAlJK5SCkeVIaH4qMAu3rlD4noYiIiNyGJeruBwVp\n/SSFo5QCUkrlIKR5UhofiowC7euUPiehiIiI3IYl6u4HBenW0o+STWl8SGNTGr9WCkcpBaSUykFI\n86Q0PhQZBdrXKX1OwlbQj4XdYg/QeYUiIiLXsETd/aAg3VoqBimND2lsSuPXSuEopYCUUjkIaZ6U\nxocio0D7OqXPSdgKCt9b7AE6r1BEROQalqi7HxSkW0vFIKXxIY1NafxaKRylFJBSKgchzZPS+FBk\nFGhfp/Q5CVtB4XuLPUDnFYqIiFzDEnX3g4J0a6kYpDQ+pLEpjV8rhaOUAlJK5SCkeVIaH4qMAu3r\nlD4nYSsofG+xB+i8QhERkWtYou5+UJBuLRWDlMaHNDal8WulcJRSQEqpHIQ0T0rjQ5FRoH2d0uck\nbAWF7y32AJ1XKCIicg1L1N0PCtKtpWKQ0viQxqY0fq0UjlIKSCmVg5DmSWl8KDIKtK9T+pyEraDw\nvcUeoPMKRURErmGJuvtBQbq1VAxSGh/S2JTGr5XCUUoBKaVyENI8KY0PRUaB9nVKn5OwFRS+t9gD\ndF6hiIjINSxRdz8oSLeWikFK40MaW5LmKUnhKKWAVJLmSalQhCKjQPs6pc9D2AoK31vsATqvLYqI\nyFwsUXc/KEi3lgpASuNDGluS5ilJ4SilgFSS5kmpUIQio0D7OqXPQ9gKCtFb7AE6ry2KiMhcLFF3\nPyhIt5YKQErjQxpbkuYpSeEopYBUkuZJqVCEIqNA+zqlz0PYCgrRW+wBOq8tiojIXCxRdz8oSLeW\nCkBK40MaW5LmKUnhKKWAVJLmSalQhCKjQPs6pc9D2AoK0VvsATqvLYqIyFwsUXc/KEi3lgpASuND\nGluS5ilJ4SilgFSS5kmpUIQio0D7OqXPQ9gKCtFb7AE6ry2KiMhcLFF3PyhIt5YKQErjQxpbkuYp\nSeEopYBUkuZJqVCEIqNA+zqlz0PYCgrRW+wBOq8tiojIXCxRV0REREREZD2WChERERER2YSlQkRE\nRERENmGpEBERERGRTVgqRERERERkE5YKERERERHZhKVCREREREQ2YakQEREREZFNWCpERERERGQT\nlgoREREREdmEpUJERERERDZhqRARERERkU1YKkREREREZBOWChERERER2YSlQkRERERENmGpEBER\nERGRTVgqRERERERkE5YKERERERHZhKVCREREREQ2YakQEREREZFNWCpERERERGQTlgoREREREdmE\npUJERERERDZhqRARERERkU1YKkREREREZBOWChERERER2YSlQkRERERENmGpEBERERGRDZxO/3+1\n+iUFClBZfAAAAABJRU5ErkJggg==\n",

       "prompt_number": 26,

       "text": [

        "<IPython.core.display.Image at 0x2797f278>"

       ]

      }

     ],

     "prompt_number": 26

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "map2 = folium.Map(location=CDMX_COORDINATES, tiles='Stamen Toner', zoom_start=14)\n",

      "\n",

      "for i in coors.iterrows():\n",

      "    if 'X'+str(int(i[1][0])) in k_6.transpose():\n",

      "        folium.RegularPolygonMarker(\n",

      "            [i[1][2], i[1][1]],\n",

      "            popup=str(int(i[1][0])),\n",

      "            fill_color=palette_6[k_6.transpose()['X'+str(int(i[1][0]))][0] - 1],\n",

      "            number_of_sides=6,\n",

      "            radius=10\n",

      "            ).add_to(map2)\n",

      "    \n",

      "map2"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "html": [

        "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;base64,
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            <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.3/leaflet.js"></script>
        
        
        
            
        
            <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
        
        
        
            
        
            <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
        
        
        
            
        
            <script src="https://rawgithub.com/lvoogdt/Leaflet.awesome-markers/2.0/develop/dist/leaflet.awesome-markers.js"></script>
        
        
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/leaflet.markercluster-src.js"></script>
        
        
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/leaflet.markercluster.js"></script>
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet/0.7.3/leaflet.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.1.0/css/font-awesome.min.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://rawgit.com/lvoogdt/Leaflet.awesome-markers/2.0/develop/dist/leaflet.awesome-markers.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.Default.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.markercluster/0.4.0/MarkerCluster.css" />
        
        
        
            
        
            <link rel="stylesheet" href="https://raw.githubusercontent.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css" />
        
        
        
            
            <style>

            html, body {
                width: 100%;
                height: 100%;
                margin: 0;
                padding: 0;
                }

            #map {
                position:absolute;
                top:0;
                bottom:0;
                right:0;
                left:0;
                }
            </style>
            
        
            
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                height: 100.0%;
                left: 0.0%;
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            </style>
        
        
            
        
            <script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet-dvf/0.2/leaflet-dvf.markers.min.js"></script>
        
        
        
        
        </head>
        <body>
            
        
            
            <div class="folium-map" id="map_d252d63804ba4302bc1889f39258f808" ></div>
        
        
        
        </body>
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                    color: 'black',
                    opacity: 1,
                    weight: 2,
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       ],

       "metadata": {},

       "output_type": "pyout",

       "prompt_number": 27,

       "text": [

        "<folium.folium.Map at 0x464567f0>"

       ]

      }

     ],

     "prompt_number": 27

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "norm_res['cluster'] = k_6.values\n",

      "temp_res = norm_res.sort_values(['cluster'])\n",

      "sns.heatmap(temp_res[temp_res.columns.difference(['cluster'])])"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "pyout",

       "prompt_number": 28,

       "text": [

        "<matplotlib.axes._subplots.AxesSubplot at 0x15616da0>"

       ]

      },

      {

       "metadata": {},

       "output_type": "display_data",

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i3xmfa1tHNjT/JZxOJ+bOnYvy8nLk5uZi5syZWL16NcLCwrBs2TIcOHAAK1eu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O4i93ggo0IvCaa1s1fLsX3FtQLMJs3vVBrCzcMdDXKNTCF0P/sMIgo8NJG5+wRJta3yg7Rea/6P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\nHUOGDMFnn32G33//Hc8++yx