Análisis de diversidad de rango sobre el sistema Ecobici

ECOBICI_diversity_rank_analysis

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   "cells": [

    {

     "cell_type": "heading",

     "level": 1,

     "metadata": {},

     "source": [

      "An\u00e1lisis de diversidad de rango para los conteos de entradas en las estaciones del sistema Ecobici"

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Este segmento est\u00e1 enfocado a realizar un an\u00e1lisis en el uso de las estaciones del sistema de bike sharing de Ecobici utilizando un m\u00e9todo conocido como diversidad de rango."

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Diversidad de rango ya ha sido utilizado con anterioridad como una medida para determinar la probabilidad que tiene una palabra para que cambie su frecuencia de uso en un vocabulario y en la literatura. De esta manera se pretende utilizar este m\u00e9todo para encontrar aquellas estaciones con m\u00e1s alto uso a lo largo del tiempo."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "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": 1

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Las siguientes funciones ser\u00e1n utilizadas de manera repetida para obtener la diversidad de rango de fragmentos de tiempo en los registros. Tambi\u00e9n se realiza una gr\u00e1fico sobre el n\u00famero de intersecciones que tuvieron las estaciones en los diferentes rangos "

     ]

    },

    {

     "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": {},

     "outputs": [],

     "prompt_number": 2

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "def plot_dr(dr,title):\n",

      "    \n",

      "    dct = {func.__name__:dr.apply(func) for func in (pd.Series.nunique, pd.Series.count)}    \n",

      "    fig, ax = plt.subplots(1, figsize=(16, 8))\n",

      "    plt.title(title)\n",

      "\n",

      "    xticks = (pd.concat(dct, axis=1)['nunique']/len(dr.index)).index\n",

      "    keptticks = xticks[::int(len(xticks)/20)]\n",

      "    xticks = ['' for y in xticks]\n",

      "    xticks[::int(len(xticks)/20)] = keptticks\n",

      "\n",

      "    #(pd.concat(dct, axis=1)['nunique']/len(dr.index)).plot(kind='bar')\n",

      "    ax = (pd.concat(dct, axis=1)['nunique']/len(dr.index)).plot(xticks=(pd.concat(dct, axis=1)['nunique']/len(dr.index)).index, rot=90, kind='bar')\n",

      "    ax.set_xticklabels(xticks)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 3

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "def plot_rank_rep(dr):\n",

      "    i = 0\n",

      "    array = np.array([])\n",

      "    for i in range(dr.values.shape[1]):\n",

      "        uniques = np.unique(dr.values[:,i])\n",

      "        array = np.concatenate((array,uniques))\n",

      "\n",

      "    y = np.bincount(array.astype(int))\n",

      "    ii = np.nonzero(y)[0]   \n",

      "\n",

      "    station_rank = pd.DataFrame(np.vstack((ii,y[ii])).T, columns=['estacion','repeticiones']).sort_values('repeticiones')\n",

      "    station_rank[:140].plot(x='estacion',y='repeticiones',kind='bar',color='b',figsize=(19, 8),title='Station against rank ')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 4

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "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",

      "    trips = trips.loc[trips['action'] != 'C  ']\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",

      "    mavg_wd = by_date_weekday.sum(axis=1).rolling(window=20,center=False).mean()\n",

      "    mstd_wd = by_date_weekday.sum(axis=1).rolling(window=20,center=False).std()\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",

      "    mavg_we = by_date_weekend.sum(axis=1).rolling(window=20,center=False).mean()\n",

      "    mstd_we = by_date_weekend.sum(axis=1).rolling(window=20,center=False).std()\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"

     ],

     "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",

     "collapsed": false,

     "input": [

      "def normalizeColumns(data):\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",

      "    \n",

      "    return pd.DataFrame(x_scaled)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 7

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "def plot_freqHeatmap(data):\n",

      "    norm_data = normalizeColumns(data)\n",

      "    \n",

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

      "    \n",

      "    yticks = data.index\n",

      "    keptticks = yticks[::int(len(yticks)/10)]\n",

      "    yticks = ['' for y in yticks]\n",

      "    yticks[::int(len(yticks)/10)] = keptticks\n",

      "    \n",

      "    xticks = data.columns\n",

      "    keptticks = xticks[::int(len(xticks)/10)]\n",

      "    xticks = ['' for y in xticks]\n",

      "    xticks[::int(len(xticks)/10)] = keptticks\n",

      "\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], yticklabels=yticks, xticklabels=xticks)\n",

      "    sns.heatmap(norm_data, ax=ax[1], yticklabels=yticks, xticklabels=xticks)\n",

      "    \n",

      "    # This sets the yticks \"upright\" with 0, as opposed to sideways with 90.\n",

      "    plt.yticks(rotation=0) \n",

      "    \n",

      "    plt.show()"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 8

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Primero que nada deberemos cargar el archivo para reconocer las fases a las que pertenecen las estaciones, as\u00ed ser\u00e1 posible realizar un an\u00e1lisis m\u00e1s espec\u00edfico sobre el periodo de la fase que se quiere visualizar"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

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

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

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

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 9

    },

    {

     "cell_type": "heading",

     "level": 3,

     "metadata": {},

     "source": [

      "Fase 1"

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Como se ha mencionado anteriormente, es de inter\u00e9s conocer si las estaciones que regularmente conservan una jerarqu\u00eda en el uso dentro del sistema y poder determinar si esta estructura puede ayudar a establecer un grado de predictibilidad asociado."

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Obteniendo los elementos a considerar en el periodo que comprende la fase 1 analizamos solamente el periodo comprendido entre el 20 de febrero del 2010 con las estaciones que exist\u00edan en ese periodo, es decir, las estaciones con ID de la 1 a la 90:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "by_date = load_daytrips()\n",

      "\n",

      "by_date.drop([col for col in list(by_date.columns.values) if col not in station_phase[station_phase['phase'] <= 1]['station'].values or col >= 260], \n",

      "        axis=1, inplace=True)\n",

      "\n",

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

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "output_type": "stream",

       "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"

       ]

      }

     ],

     "prompt_number": 10

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Una vez obtenido el periodo que nos interesa, se procede a realizar lo siguiente:\n",

      "Para cada d\u00eda se ordenas las estaciones en funci\u00f3n de sus conteos, de mayor a menor, donde la estaci\u00f3n que obtuvo el uso m\u00e1s alto se encuentra en la primer posici\u00f3n, la seguido de la segunda estaci\u00f3n con m\u00e1s uso. "

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Una vez obtenido este orden se procede a contar el n\u00famero de estaciones \u00fanicas que ocuparon el lugar 1...n en el periodo de tiempo comprendido, despu\u00e9s la cifra es  dividida entre el n\u00famero de d\u00edas que se utiliz\u00f3 para construir la diversidad de rango, obteniendo lo siguiente:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "dr = get_dr(phase_1)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 11

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(dr,'Diversity rank during phase 1')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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KEUoBAAAoRigFAACgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKE\nUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAoRigFAACgGKEUAACAYoRSAAAAihFK\nAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBi2g2llUolF110UcaPH58T\nTjghL7zwwgb758+fn7Fjx2b8+PG58847N9j38ssvZ8SIEVm6dOnW7RoAAIAOod1QOm/evKxZsyaz\nZ8/OmWeembq6utZ9TU1NueKKK/K1r30tt99+e771rW+lvr6+dd9FF12U7t27b7vuAQAA2KG1G0of\ne+yxDB8+PEkyZMiQLFq0qHXf4sWLs88++6S2tjZdu3bNsGHDsmDBgiTJl7/85UyYMCH9+vXbRq0D\nAACwo2s3lDY0NKRXr16tj2tqatLS0tLmvp49e2blypW56667sscee+SQQw5JpVLZBm0DAADQEdS0\nV1BbW5vGxsbWxy0tLencuXPrvoaGhtZ9jY2N6d27d26//fYkycMPP5ynnnoq5557bm688cbsscce\nmzxP3749UlPTZaPte+7Zq43qjbVVt2JFbZu1u+9eu0G9us2vq+be1G3dumruTd22qavm3tQZ3+qM\nb3XGt7qOMb7b0m4oHTp0aB544IEcccQRWbhwYQYPHty6b9CgQXnuuefy2muvpXv37lmwYEGmTJmS\n//W//ldrzeTJk3PJJZe8bSBdexGrNtq25569snz5yvZa3GRdfX1DG9Vrt69fr27z66q5N3Vbt66a\ne1O3beqquTd1xrc641ud8a1uxx/fmwqn7YbSkSNH5uGHH8748eOTJHV1dbnnnnuyevXqjBs3LlOn\nTs3JJ5+cSqWScePGbTSHtFOnTu2dAgAAgJ1Uu6G0U6dOufjiizfYNnDgwNb/HzFiREaMGLHJ47/+\n9a+/++4AAADo0Npd6AgAAAC2FaEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoR\nSgEAAChGKAUAAKAYoRQAAIBiako38G40Nzdn2bIlrY9XrKhNfX1DBgzYN126dCnYGQAAAO/EDhlK\nly1bktOunJseffq1blv16h9yzdmjM2jQfgU7AwAA4J3YIUNpkvTo0y+1ffcu3QYAAABbwJxSAAAA\nihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAo\nRigFAABSek1JAAAVKElEQVSgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoR\nSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAoRigFAACgGKEUAACAYoRSAAAAihFKAQAAKEYo\nBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAoRigFAACgGKEU\nAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIA\nAACKqSndwPqam5uzbNmS1scrVtSmvr4hAwbsmy5duhTsDAAAgG2hqkLpsmVLctqVc9OjT7/Wbate\n/UOuOXt0Bg3ar2BnAAAAbAtVFUqTpEeffqntu3fpNgAAANgOzCkFAACgGKEUAACAYoRSAAAAihFK\nAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAoRigF\nAACgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAACimpr2CSqWS6dOn\n5+mnn84uu+ySGTNmpH///q3758+fn5kzZ6ampiZjxozJuHHj0tTUlPPPPz8vvfRS3njjjXz+85/P\n4Ycfvk0vBAAAgB1Pu6F03rx5WbNmTWbPnp1f/OIXqaury8yZM5MkTU1NueKKKzJnzpx069YtEyZM\nyCc+8Yk8+OCD6du3b77yla/k1VdfzWc+8xmhFAAAgI20G0ofe+yxDB8+PEkyZMiQLFq0qHXf4sWL\ns88++6S2tjZJMmzYsCxYsCBHHnlkjjjiiCRJS0tLamraPQ0AAAA7oXbTYkNDQ3r16vXmATU1aWlp\nSefOnTfa17Nnz6xcuTK77rpr67GnnXZazjjjjG3QOgAAADu6dkNpbW1tGhsbWx+vC6Tr9jU0NLTu\na2xsTO/evZMkv/3tb/PFL34xkyZNylFHHdVuI3379sjuu9e2uW/33Wuz555vht8VK9SVqqvm3tRt\n3bpq7k3dtqmr5t7UGd/qjG91xre6jjG+29JuKB06dGgeeOCBHHHEEVm4cGEGDx7cum/QoEF57rnn\n8tprr6V79+5ZsGBBpkyZkj/+8Y+ZMmVKpk2bloMPPri9U/zXRaxKfX1Dm/vq6xuyfPnKDR6rK1NX\nzb2p27p11dybum1TV829qTO+1Rnf6oxvdTv++N5UOG03lI4cOTIPP/xwxo8fnySpq6vLPffck9Wr\nV2fcuHGZOnVqTj755FQqlYwbNy79+vXLjBkz8tprr2XmzJm54YYb0qlTp9xyyy3ZZZdd2jsdAAAA\nO5F2Q2mnTp1y8cUXb7Bt4MCBrf8/YsSIjBgxYoP9F1xwQS644IKt0yEAAAAdVufSDQAAALDzEkoB\nAAAoRigFAACgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUA\nAKAYoRQAAIBihFIAAACKEUoBAAAoRigFAACgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAA\ngGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAoRigFAACgGKEUAACAYoRSAAAA\nihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAo\nRigFAACgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAY\noRQAAIBihFIAAACKEUoBAAAoRigFAACgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKE\nUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAoRigFAACgGKEUAACAYoRSAAAAihFK\nAQAAKEYoBQAAoBihFAAAgGKEUgAAAIoRSgEAAChGKAUAAKAYoRQAAIBihFIAAACKEUoBAAAoRigF\nAACgGKEUAACAYoRSAAAAihFKAQAAKEYoBQAAoBihFAAAgGKEUgAAAIqpaa+gUqlk+vTpefrpp7PL\nLrtkxowZ6d+/f+v++fPnZ+bMmampqcmYMWMybty4do8BAACAZDM+KZ03b17WrFmT2bNn58wzz0xd\nXV3rvqamplxxxRX52te+lttvvz3f+ta3Ul9f/7bHAAAAwDrtflL62GOPZfjw4UmSIUOGZNGiRa37\nFi9enH322Se1tbVJkoMOOiiPPvpoFi5cuMljAAAAYJ12PyltaGhIr169Wh/X1NSkpaWlzX09evTI\nypUr09jYuMljAAAAYJ12Pymtra1NY2Nj6+OWlpZ07ty5dV9DQ0PrvsbGxvTp0+dtj2nPqlf/8LaP\n1ZWrq+be1G2bumruTZ3xrc74Vmd8qzO+d/a6au7t7ereqlOlUqm8XcH999+fBx54IHV1dVm4cGFm\nzpyZWbNmJVk7p/RTn/pU7rzzznTv3j0TJkzIjTfemIULF27yGAAAAFin3VC6/kq6SVJXV5cnnngi\nq1evzrhx4/Lggw/m+uuvT6VSydixYzNhwoQ2jxk4cOC2vxoAAAB2KO2GUgAAANhWNm+iJwAAAGwD\nQikAAADFCKUAAAAUI5QCAABQTFWG0paWltItvK2XX365dAtva82aNfnTn/5Uug0AAIB21ZRuYJ0X\nXnghdXV1WbRoUWpqatLS0pLBgwdn6tSpxb9OZunSpRs8Pvfcc/PlL385SYr3lqzt76qrrkrXrl0z\nefLknHvuuWlqasqZZ56Zo446qnR7AAAAm1Q1Xwlzwgkn5Mwzz8yQIUNaty1cuDBXXHFFZs+eXbCz\nZMSIEenevXv69euXSqWSp556Kvvvv386deqUr3/960V7S5JJkybllFNOycqVKzNt2rTMnTs3vXr1\nyt/8zd/kW9/6Vun22ELz5s3Lf/zHf2TlypXp3bt3hg0bliOOOCKdOnUq3dpG6urqMnXq1NJttHrw\nwQdTU1OTD3/4w7niiivy2muv5f/9v/+X9773vaVbS319fWbNmpVu3brlpJNOSt++fZMk119/fb74\nxS8W7i556aWX8uyzz+bggw/OrFmz8sQTT+T9739/Pv/5z6dXr16l2zMutpCx8e5U+7hIjI0tYVy8\ne9U+NoyLLbM9xkbVhNLx48e3GT43tX17evnll3PRRRdlwoQJOeSQQzJ58uTcfvvtRXta34QJE3LH\nHXekUqnkiCOOyPe///0kyfHHH59vfvObhbvzF+mWuPjii9PS0pJDDz00PXv2TGNjYx566KE0NTVl\nxowZRXtL1o7PdSqVShYvXpz3v//9SVJ83F5wwQV5/fXX09jYmPr6+owePTrvec97cscdd+TWW28t\n2luSfPazn83IkSPT1NSUb37zm5k1a1b23nvvnHDCCVXzj11f+tKXcs8992SvvfbK4YcfngULFuTH\nP/5xZs2aVbQ342LLGBvvXjWPi8TY2BLGxZap5rFhXGyZ7TY2KlVi2rRplfPOO69y7733Vh566KHK\n9773vcp5551XmTZtWunWKpVKpfLGG29ULrvsssqNN95YmTRpUul2NjB16tTK6aefXpkyZUpl0qRJ\nlX/4h3+ozJo1q3LKKaeUbq1SqVQqU6ZMqcyePbvyjW98o3LUUUdVXnzxxUqlUqlMnjy5cGdrTZw4\nsfLTn/60cuGFF1auv/76yq9+9avKP//zP1f+9m//tnRrlYkTJ7a5/bjjjtvOnbRt7ty5lRNPPLHy\nzDPPVF544YXKscceW3nxxRdbX+OSjj/++EqlUqm0tLRUjjzyyNbt1TJ+1//z/9hjj1VGjx5defXV\nV6umv3V9nHTSSRtsHz9+fIl2NmBcbBlj492r5nFRqRgbW8K42DLVPDaMiy2zvcZG1cwpnT59eubN\nm5fHHnssDQ0Nqa2tzWGHHZaRI0eWbi1JUlNTkwsuuCBz5sxJpTo+XG41Y8aM/PjHP063bt0ybNiw\n3HLLLWloaEhdXV3p1pKsXXjpuOOOS5IccMABOeWUU3L77bdXzc+xU6dO+chHPpKbbropl156aZK1\nfX7ve98r3NnaRb9+9rOf5aCDDmrdtmDBgnTt2rVgV2/667/+6wwaNChXXnllzjvvvHTr1i177713\n6baSrP3XxoceeiivvPJKXn755SxevDi1tbV5/fXXS7eWJGlubs7TTz+dD3zgAxk6dGg+97nP5Qtf\n+EJWrVpVurUkSa9evXLffffl4x//eO6+++4cdthhefDBB7PrrruWbs242EKVSiX//u//nhUrVhgb\n71A1j4uk7bHx6KOPGhuboa1x0bNnT+NiM7U1Nn70ox9VxdgwLrZMW++ntsXYqJrbd+m4Jk6cmGnT\npuUDH/hAkuTf/u3f8i//8i9ZtWpV7rrrrsLdJaecckpGjx6d3/3ud9ltt91a/yK9++6780//9E9F\ne3v++edTV1eXX/3qV6lUKuncuXMOOOCAnH766a0/z2rwyiuv5IILLsjzzz+f7373u1mzZk122WWX\noj0tWbIkN9xwQ3bZZZdMnjw5Z599dlavXp1p06ZlxIgRRXtLkieffDKXX355rrrqqvzZn/1Z/vSn\nP+X73/9+Lr/88jzyyCOl20t9fX2uvPLK/PznP89LL72U3r1756CDDsrUqVPz53/+50V7W39ctLS0\nZMWKFRk+fHjOPffcDBgwoGhv61s3Lp599tncf//9pdtptWTJklx//fXp1q1bJk+enFNPPTUtLS2Z\nMWNGPvrRj5ZuL0899VRmzJiRq666KrvvvnuWL1+eRx55JDNmzCg+NtYfF88//3w6d+6cT37ykzn3\n3HOrYt7hW8dGQ0NDDj744Jx33nnZZ599SrfX6pVXXsn555+f5557Lvfee2/pdpJsOC4mTZqUc845\nJ6tWrcrll19edePiz/7sz5Ik//qv/1q1vzN22223DBs2rCrGxlvfS73xxhv54Ac/mGnTplXduFj3\nO+O73/1uunXrVrqlJG3/zli1alW++tWvbtWxUZVfCUPHcuGFF+ayyy7LH//4xyTJUUcdlWOPPTa/\n+c1vCne21mWXXZYf/ehHueOOO3LhhRfmU5/6VH74wx/msssuK91afv3rX+epp55K165dc+655+bB\nBx/MjTfeWBVzIJJk/vz5OeywwzJu3LgceeSRrX199rOfLdxZsmzZsvz85z/PggULsmzZstx7772Z\nP39+8X9oWKdr167p1atXvvrVr+YnP/lJjjrqqFx33XVVc4dDfX19Xn311QwdOjQ333xzunXrliee\neCJPPfVU6dbS3Nycc845J7fddlv++Z//OQcccEDOOeecqrn7YunSpVm6dGlWrFiRM844Iy+++GKW\nLVu20UrupXTq1Clf+tKX8n/+z//Jrrvumr59++bWW2/NXnvtVbq1JMnXv/713H777XnppZcyatSo\nfPGLX8xNN92Um266qXRr+fu///vU1dXlK1/5St73vvflgx/8YJ555pksX768dGtJkp///Oc54IAD\ncsMNN6Rnz575i7/4iyxevDgvvfRS6daSJHfffXeuu+66vPTSS1m8eHFefPHFjBo1Kj/5yU9Kt5Zf\n/vKXGTBgQCZOnJgzzzwzNTU16dq1a9V8TeFxxx2X0aNHtwbSJPn0pz+d//iP/yjY1ZsOO+ywDB06\nNN///vezaNGi/PjHP84111xTPJAma39ndO3aNcOGDcs111yTXr16ZenSpXniiSdKt5Zk7e+MU089\nNZdeemmmTJmS559/PkcddVT+7d/+rXRrSdb+zmhqasqaNWuyZs2adO7cOd27d099ff3WPdFWvRkY\n3oHm5ubSLVS9cePGVV599dVKfX19ZfLkyZU5c+ZUKpXqmeMybty4yiuvvFKV/VVzb5XK2jkajzzy\nSGXOnDmVYcOGVf74xz9WVq5cWTVzXNb1d9ddd1Vdfx//+Mcro0aNqkyePLkyadKkyv/4H/+jMnny\n5KqZp/7W/g466KDKpEmTqra/avv5revjxBNPrCxdurRSqVQqv/vd7zY5L2x7qubeKpVKZcyYMZXG\nxsbKCSecUFmyZEmlUlnb3zHHHFO4s7Wqub9q7q1SqVSOPfbYysUXX1yZPHly5ZFHHindzkbW7+/R\nRx8t3c4GJk6cWHn44Ycr9913X+XDH/5w5Xe/+12lsbGxcuyxx5ZurVKp6G+dqplTSsc1efLkvPHG\nG23uq4ZVxaq5v65du6Z3795JkpkzZ+bEE0/Mn//5n1fNEuZdu3ZNnz59klRff9XcW7J2jsuHP/zh\nJGvntuyxxx5J1s5frwbr9/fII49UVX/f+c53NloRvRpWn1ynrf6qacX2av/5rdOlS5fW27Hf8573\nVM0n4Un19lZTU5MePXqkZ8+e6d+/f5K1/VXL33vV3F8195Yk3bp1y7Rp0/L4449n1qxZufTSS3Pw\nwQenf//+OeGEE0q3t1F/l1xySdX019zcnI997GOpVCr5h3/4h7znPe9JsnYcVwP9rVX+3QUd3lln\nnZULL7wwN9xwQ9UMsPVVc39777136urqctppp6W2tjbXX399pkyZktdee610a0mqu79q7i1JBg4c\nmAsuuCCXXnpp6y27N9988wa3ZpVUzf3tscceufrqq/PlL385jz/+eOl2NqK/LdPQ0JBjjjkmq1at\nyp133pnRo0fniiuuqIqFP6q5tyQ5/PDD84UvfCGDBw/O5z73uQwfPjz//u//noMPPrh0a0mqu79q\n7i1J6z98/Lf/9t9y3XXXZeXKlVmwYEHVTAuo5v4GDhyYM844IytXrky/fv1y1VVXpba2tvUrCkvT\n31pdpk+fPn2rPiO8xV577ZVVq1alqakpf/VXf5XevXu3/lcNqrm/ww47LC+//HL222+/1jmIo0aN\nyquvvppDDz20dHtV3V8197auvyQZNGhQ67YXX3wxn//856vi08hq769z58459NBD8/zzz+fJJ5/M\nMcccU7qlDejv3TvuuONy9NFH50Mf+lDe9773pW/fvlm+fHm+9KUvpXPnskthVHNvSTJs2LD069cv\nzz//fLp27dr6/eXHH3986daSVHd/1dxbsnZe3wEHHND6uFu3bhk4cGCGDh1asKs3VXN/hx9+eHr2\n7JmPfOQjOeWUU/L444+nsbExZ599dlUsJqS/tay+CwAAQDHl/1kPAACAnZZQCgAAQDFCKQAAAMUI\npQAAABQjlAIAAFDM/westrDeBzPPnAAAAABJRU5ErkJggg==\n",

       "text": [

        "<matplotlib.figure.Figure at 0x9f9eb00>"

       ]

      }

     ],

     "prompt_number": 12

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Esta visualizaci\u00f3n nos habla un poco del comportamiento global del sistema a lo largo de un periodo de tiempo. Se puede apreciar por la figura obtenida que la diversidad de estaciones que conforman los lugares de la cabeza son menores a las secciones del cuerpo y cola, lo que se asume es que las estaciones que aparecen en la cabeza tienen una baja probabilidad de saltar a lugares m\u00e1s altos en los rangos a lo largo del tiempo pero esta probabilidad aumenta dr\u00e1sticamente conforme se va avanzando en el orden de los rangos.\n",

      "\n",

      "Si tenemos en consideraci\u00f3n la manera en que fue elaborado el gr\u00e1fico anterior podemos intuir que una estaci\u00f3n puede est\u00e1r presente en m\u00e1s de un rango mas no es posible conocer su frecuencia en el gr\u00e1fico anterior. A continuaci\u00f3n el siguiente gr\u00e1fico muestra el n\u00famero de veces que estuvo presente estaci\u00f3n a lo largo de los rangos:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(dr)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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XqUuR+TJ1KSJfpi5F5svUpYh8mboUmS9TlyLyZepS73yZuhSZL1OXIvJl6lJk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\n",

       "text": [

        "<matplotlib.figure.Figure at 0x45adf668>"

       ]

      }

     ],

     "prompt_number": 13

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "A modo de ilustraci\u00f3n a continuaci\u00f3n se muestran dos heatmaps: En la figura izquierda las filas representan las 90 estaciones comprendidas durante la fase 1, las columnas se tienen los rango y las celdas contienen la frecuencia que tuvo la $estaci\u00f3n_i$ en el $rango_j$ en el periodo de tiempo. La figura en la parte derecha indica lo mismo con la \u00fanica diferencia de que los valores han sido normalizados a lo largo de las columnas. "

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

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

      "plot_freqHeatmap(a1)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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o3ssdR5/tke3qs64oWsbeTYcRCo+HtnuDxkoHV11B58kqdu7xqs+mZdBnkpyu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\n62eipnHLC23mHEvwHL1HjYavbjZq9ALF6O0X62d+wkEx72J9Or8KNYv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sFGQOM6+f1JKB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\ndWxWKIoyEuR7LjbQh3H2rpVyg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       "text": [

        "<matplotlib.figure.Figure at 0x2f1e9ba8>"

       ]

      }

     ],

     "prompt_number": 14

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Donde se observa que en los primeros 4 lugares, por ejemplo, aparecen la estaci\u00f3n 1, 27, 64 y 88 que son las estaciones con menos presencia obtuvieron en la diversidad de rango y puede ofrecernos informaci\u00f3n sobre la estabilidad de estas estaciones dentro del sistema."

     ]

    },

    {

     "cell_type": "heading",

     "level": 3,

     "metadata": {},

     "source": [

      "An\u00e1lisis con respecto a d\u00edas de la semana iguales."

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "El an\u00e1lisis que se hace en la secci\u00f3n anterior aporta una manera de apreciar la estabilidad del orden de las estaciones en el sistema para toda la semana \u00bfocurrir\u00e1 algo distinto si separamos los d\u00edas analizados por d\u00edas iguales?"

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Al conjunto de datos del que ya disponemos agregamos una etiqueta para marcar en qu\u00e9 d\u00eda de la semana cae:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "# add a flag indicating the day of the week\n",

      "dr['day_week'] = dr.index.dayofweek"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 15

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Obtenemos subconjuntos de los d\u00edas seg\u00fan el d\u00eda de la semana en el que se encuentre:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "monday = dr[dr['day_week'] == 0].iloc[:,:-1]\n",

      "tuesday = dr[dr['day_week'] == 1].iloc[:,:-1]\n",

      "wednesday = dr[dr['day_week'] == 2].iloc[:,:-1]\n",

      "thursday = dr[dr['day_week'] == 3].iloc[:,:-1]\n",

      "friday = dr[dr['day_week'] == 4].iloc[:,:-1]\n",

      "satuday = dr[dr['day_week'] == 5].iloc[:,:-1]\n",

      "sunday = dr[dr['day_week'] == 6].iloc[:,:-1]"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 16

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Se realiza la gr\u00e1fica de diversidad de rango y la de frecuencia en repeticiones de las estaciones por rango para cada d\u00eda de la semana:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(monday,'Diversity rank during phase 1 monday')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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en6trNZSOGDEiCxYsyOjRo7N48eIMGzaseV19fX0+97nP5bbbbkuPHj3Su3fv\nVFZWZsSIEXniiSda3GZ76urWtXgSq1atbXXbIurKubfW6lavrt/u8s23aalu65q2HnfrqV4GDGh5\nqped6U1d+9aVc2/qOqaunHtTZ3yrM77VdY7x3db3hFvb2ffnmx930zGT7PC45fg+fnev215IbTWU\njho1KgsXLsz48eOTJDU1NZk3b17Wr1+fcePGZcyYMZk4cWK6d++egw46KGPGjEmSPP3001tsQ9dm\nqhcAAIp6T+i9aHlrNZRWVFRkxowZWywbMmRI88/jxo3LuHHjttlu623AVC8AABT1ntB70fLV6o2O\nAAAAoKMIpQAAABRGKAUAAKAwQikAAACFEUoBAAAoTKt334Ud2Xquqbq6ts01BQAAO2vz96Kb3ocm\nO55/lPIjlLJTzPkEAEBRvBftHIRSdpo5nwAAKIr3ors/15QCAABQGKEUAACAwgilAAAAFEYoBQAA\noDBudAQAABBTzBRFKAUAAIgpZooilAIAAPw3U8zseq4pBQAAoDBCKQAAAIURSgEAACiMUAoAAEBh\nhFIAAAAK4+67AABAWdl8vtDk3TlDzRfaOQmlAABAWTFfaNcilAIAAGXHfKFdh2tKAQAAKIxQCgAA\nQGGEUgAAAAojlAIAAFAYoRQAAIDCuPtuJ7L5fE6b5nJKYj4nAACgbAmlnYj5nAAAgN2NUNrJmM8J\nAADYnbimFAAAgMIIpQAAABRGKAUAAKAwQikAAACFcaMjAACADmDKxrYRSgEAADqAKRvbRigFAADo\nIKZsbJ1rSgEAACiMUAoAAEBhhFIAAAAK0+o1paVSKdOnT8/y5cvTo0ePzJw5M4MGDWpeP2/evNxx\nxx2pqqrKsGHDMn369CTJaaedlurq6iTJfvvtl1mzZnXMGQAAALDbajWUzp8/P42Njamtrc2SJUtS\nU1OTOXPmJEneeuut3HjjjZk3b1569OiRKVOmZMGCBTnqqKOSJHfccUfHdg8AAMBurdVQumjRoowc\nOTJJMnz48CxdurR5XY8ePVJbW5sePXokSTZs2JCePXtm2bJlWbduXSZPnpyNGzfmi1/8YoYPH95B\np9D5md8IAADorFoNpfX19enbt++7G1RVpampKZWVlamoqMiAAQOSJHfeeWfWr1+fT37yk3n++ecz\nefLkjBs3LitWrMj555+fRx99NJWVLmF9P8xvBAAAdFathtLq6uo0NDQ0P94USDcplUq57rrr8sor\nr2T27NnNNvBwAAAfjElEQVRJksGDB2f//fdv/rlfv35ZtWpV9tlnn/buv8swvxEAANAZtRpKR4wY\nkQULFmT06NFZvHhxhg0btsX6r3zlK+nVq1fzdaZJMnfu3CxfvjxXXXVVXnvttTQ0NGTgwIE7PE7/\n/n1SVbXtV1EHDuzbQvW2iqjbVcesq6tucfmAAdVbbLMr6oo4prpi6sq5N3UdU1fOvakzvtUZ3+qM\n73Kq29rOvo9v6/46a12roXTUqFFZuHBhxo8fnySpqanJvHnzsn79+hxyyCGZO3duDj/88EyaNCkV\nFRU5++yzM27cuFx22WWZMGFCKioqMmvWrFa/ultXt67Fk1i1am2rJ1FE3a485qZrSFtavvk2u6Ku\niGOqK6aunHtT1zF15dybOuNbnfGtzvgup7rNtcf7+Lbub3ev215IbTWUVlRUZMaMGVssGzJkSPPP\nzz33XIvbXX/99a02CgAAQNfmzkMAAAAUptVPSgEAAHhXe0/Z2NWngBRKAQAA3oP2nrKxq08BKZQC\nAAC8R+09ZWNXngLSNaUAAAAURigFAACgMEIpAAAAhRFKAQAAKIxQCgAAQGHcfbdAXX0+IgAAAKG0\nQF19PiIAAAChtGBdeT4iAAAA15QCAABQGKEUAACAwgilAAAAFEYoBQAAoDBCKQAAAIURSgEAACiM\nUAoAAEBhhFIAAAAKI5QCAABQGKEUAACAwgilAAAAFEYoBQAAoDBCKQAAAIURSgEAACiMUAoAAEBh\nhFIAAAAKI5QCAABQGKEUAACAwgilAAAAFEYoBQAAoDBVRTcAAABA6zZu3JgVK15KktTVVWf16voM\nHjw03bp1K7iznSOUAgAA7AZWrHgpF13/YPrstXeSZN0bf8wNl5ycAw44sODOdo5QCgAAsJvos9fe\nqe6/b9FttCvXlAIAAFAYoRQAAIDCCKUAAAAURigFAACgMG50BAAA0MVsPr1MUuwUM0IpAABAF7P1\n9DJJcVPMCKUAAABdULlML9NqKC2VSpk+fXqWL1+eHj16ZObMmRk0aFDz+nnz5uWOO+5IVVVVhg0b\nlunTp7e6DQAAACRtuNHR/Pnz09jYmNra2kyZMiU1NTXN6956663ceOONueuuu3L33Xdn7dq1WbBg\nwQ63AQAAgE1aDaWLFi3KyJEjkyTDhw/P0qVLm9f16NEjtbW16dGjR5Jkw4YN6dmz5w63AQAAgE1a\nDaX19fXp27dv8+Oqqqo0NTUlSSoqKjJgwIAkyZ133pn169fnk5/85A63AQAAgE1avaa0uro6DQ0N\nzY+bmppSWfluli2VSrnuuuvyyiuvZPbs2W3apiX9+/dJVdW2tx4eOLBvC9XbKqJuZ/dVV1fd4vIB\nA6q32Kac6sq5N3XtW1fOvanrmLpy7k2d8a3O+FZnfKtr2/huSUvr23rMtu5vZ+paDaUjRozIggUL\nMnr06CxevDjDhg3bYv1XvvKV9OrVK3PmzGnzNi2pq1u3zbKBA/tm1aq1rW5bRN2Oajaf82fAgHfm\n+0myzZw/m5ZvbfXq+i32XU515dybuvatK+fe1HVMXTn3ps74Vmd8qzO+1bVtfG9te7mlrcds6/7a\nUre9kNpqKB01alQWLlyY8ePHJ0lqamoyb968rF+/Poccckjmzp2bww8/PJMmTUpFRUXOPvvsFrfp\nSsppzh8AAIBy1mooraioyIwZM7ZYNmTIkOafn3vuuRa323qbrqZc5vwBAAAoZ63e6AgAAAA6ilAK\nAABAYYRSAAAACiOUAgAAUBihFAAAgMIIpQAAABRGKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRS\nAAAACiOUAgAAUBihFAAAgMIIpQAAABRGKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRSAAAAClNV\ndAO7k40bN2bFipeSJHV11Vm9uj5JMnjw0HTr1q3I1gAAANrd5hkoeTcHtWcGEkrfgxUrXspF1z+Y\nPnvt3bxs3Rt/zA2XnJwDDjiwwM4AAADa367IQELpe9Rnr71T3X/fotsAAADYJTo6A7mmFAAAgMII\npQAAABRGKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRSAAAACiOUAgAAUBihFAAAgMIIpQAAABRG\nKAUAAKAwQikAAACFEUoBAAAoTFXRDXSkjRs3ZsWKl5of19VVZ/Xq+gwePDTdunUrsDMAAID2V1QG\n2pnjdupQumLFS7no+gfTZ6+9m5ete+OPueGSk3PAAQcW2BkAAED7KyoD7cxxO3UoTZI+e+2d6v77\nFt0GAADALlFUBnq/x3VNKQAAAIURSgEAACiMUAoAAEBhWr2mtFQqZfr06Vm+fHl69OiRmTNnZtCg\nQVvUrF+/Puedd15mzZqVIUOGJElOO+20VFdXJ0n222+/zJo1qwPaBwAAYHfWaiidP39+GhsbU1tb\nmyVLlqSmpiZz5sxpXr906dJcddVVee2115qXNTY2JknuuOOODmgZAACAzqLVr+8uWrQoI0eOTJIM\nHz48S5cu3WL922+/nTlz5mTo0KHNy5YtW5Z169Zl8uTJOffcc7NkyZJ2bhsAAIDOoNVPSuvr69O3\nb993N6iqSlNTUyor38mzhx12WJJ3vua7Sa9evTJ58uSMGzcuK1asyPnnn59HH320eRsAAABI2hBK\nq6ur09DQ0Px480C6PYMHD87+++/f/HO/fv2yatWq7LPPPjvZLgAAAJ1Jq6F0xIgRWbBgQUaPHp3F\nixdn2LBhre507ty5Wb58efO1pg0NDRk4cOAOt+nfv0+qqrpts3zgwL4tVG+rpbq6uuoWawcMqG51\nvzuzv85cV869qWvfunLuTV3H1JVzb+qMb3XGtzrjW13nGN8taTWUjho1KgsXLsz48eOTJDU1NZk3\nb17Wr1+fcePGNddVVFQ0/zx27NhcfvnlmTBhQioqKjJr1qxWP12tq1u3zbKBA/tm1aq1rbW43brV\nq+tbrF+9un6H+93Z/XXmunLuTV371pVzb+o6pq6ce1NnfKszvtUZ3+p2//G9vXDaaiitqKjIjBkz\ntli2adqXzW1+p92qqqpcd911re0aAACALs6dhwAAACiMUAoAAEBhhFIAAAAKI5QCAABQGKEUAACA\nwgilAAAAFEYoBQAAoDBCKQAAAIWpKrqBcrBx48asWPFS8+O6uuqsXl2fwYOHplu3bgV2BgAA0LkJ\npUlWrHgpF13/YPrstXfzsnVv/DE3XHJyDjjgwAI7AwAA6NyE0v/WZ6+9U91/36LbAAAA6FJcUwoA\nAEBhhFIAAAAKI5QCAABQGKEUAACAwgilAAAAFEYoBQAAoDBCKQAAAIURSgEAACiMUAoAAEBhhFIA\nAAAKI5QCAABQGKEUAACAwgilAAAAFEYoBQAAoDBCKQAAAIURSgEAACiMUAoAAEBhhFIAAAAKI5QC\nAABQGKEUAACAwgilAAAAFEYoBQAAoDBCKQAAAIURSgEAACiMUAoAAEBhhFIAAAAKI5QCAABQGKEU\nAACAwlQV3cD7sXHjxqxY8VLz47q66qxeXZ/Bg4emW7duBXYGAADAe7FbhtIVK17KRdc/mD577d28\nbN0bf8wNl5ycAw44sMDOAAAAeC92y1CaJH322jvV/fctug0AAAB2QqvXlJZKpVx11VUZP358zj77\n7Lz66qvb1Kxfvz5nnnlmXn755TZvAwAAAK2G0vnz56exsTG1tbWZMmVKampqtli/dOnSTJw4cYvg\n2do2AAAAkLQhlC5atCgjR45MkgwfPjxLly7dYv3bb7+dOXPmZOjQoW3eBgAAAJI2XFNaX1+fvn37\nvrtBVVWamppSWflOnj3ssMOSvPOV3bZuAwAAAEkbQml1dXUaGhqaH7clXL6fbfr375Oqqm2ncxk4\nsO82y+rqqlvcx4AB1VvUq2v/unLuTV371pVzb+o6pq6ce1NnfKszvtUZ3+o6x/huSauhdMSIEVmw\nYEFGjx6dxYsXZ9iwYa1t8r62qatbt82ygQP7ZtWqtdssX726vsV9rF5dv0W9uvavK+fe1LVvXTn3\npq5j6sq5N3XGtzrjW53xrW73H9/bC6ethtJRo0Zl4cKFGT9+fJKkpqYm8+bNy/r16zNu3LjmuoqK\nih1uAwAAAFtrNZRWVFRkxowZWywbMmTINnV33HHHDrcBAACArbnzEAAAAIURSgEAACiMUAoAAEBh\nhFIAAAAKI5QCAABQGKEUAACAwgilAAAAFEYoBQAAoDBCKQAAAIURSgEAACiMUAoAAEBhhFIAAAAK\nI5QCAABQGKEUAACAwgilAAAAFEYoBQAAoDBCKQAAAIURSgEAACiMUAoAAEBhqopuYHMbN27MihUv\nNT+uq6vO6tX1GTx4aLp161ZgZwAAAHSEsgqlK1a8lIuufzB99tq7edm6N/6YGy45OQcccGCBnQEA\nANARyiqUJkmfvfZOdf99i24DAACAXcA1pQAAABRGKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRS\nAAAACiOUAgAAUBihFAAAgMIIpQAAABRGKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRSAAAACiOU\nAgAAUBihFAAAgMIIpQAAABRGKAUAAKAwQikAAACFEUoBAAAoTFVrBaVSKdOnT8/y5cvTo0ePzJw5\nM4MGDWpe/8QTT2TOnDmpqqrK6aefnnHjxiVJTjvttFRXVydJ9ttvv8yaNauDTgEAAIDdVauhdP78\n+WlsbExtbW2WLFmSmpqazJkzJ0myYcOGXHvttZk7d2569uyZM888M3/1V3/VHEbvuOOOju0eAACA\n3VqrX99dtGhRRo4cmSQZPnx4li5d2rzuxRdfzP7775/q6up07949hx9+eH75y19m2bJlWbduXSZP\nnpxzzz03S5Ys6bgzAAAAYLfV6iel9fX16du377sbVFWlqakplZWV26zbY489snbt2gwdOjSTJ0/O\nuHHjsmLFipx//vl59NFHU1npElYAAADe1Woora6uTkNDQ/PjTYF007r6+vrmdQ0NDdlzzz2z//77\n58Mf/nCSZPDgwenXr19WrVqVffbZZ7vH6d+/TwYMqG5x3YAB1Rk48N3wW1enrqi6cu5NXfvWlXNv\n6jqmrpx7U2d8qzO+1Rnf6jrH+G5Jq6F0xIgRWbBgQUaPHp3Fixdn2LBhzesOOOCAvPLKK3nzzTfT\nq1ev/Nu//VsmT56cuXPnZvny5bnqqqvy2muvpaGhIQMHDtzhcerq1mX16voW161eXZ9Vq9Zu8Vhd\nMXXl3Ju69q0r597UdUxdOfemzvhWZ3yrM77V7f7je3vhtNVQOmrUqCxcuDDjx49PktTU1GTevHlZ\nv359xo0bl6lTp+a8885LqVTK2LFjs/fee2fs2LG5/PLLM2HChFRUVGTWrFm+ugsAAMA2Wg2lFRUV\nmTFjxhbLhgwZ0vzzMccck2OOOWbLnVZV5brrrmufDgEAAOi0fHwJAABAYYRSAAAACiOUAgAAUBih\nFAAAgMIIpQAAABRGKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRSAAAACiOUAgAAUBihFAAAgMII\npQAAABRGKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRSAAAACiOUAgAAUBihFAAAgMIIpQAAABRG\nKAUAAKAwQikAAACFEUoBAAAojFAKAABAYYRSAAAACiOUAgAAUBihFAAAgMIIpQAAABRGKAUAAKAw\nQikAAACFEUoBAAAojFAKAABAYYRSAAAACiOUAgAAUBihFAAAgMIIpQAAABRGKAUAAKAwQikAAACF\nEUoBAAAojFAKAABAYapaKyiVSpk+fXqWL1+eHj16ZObMmRk0aFDz+ieeeCJz5sxJVVVVTj/99Iwb\nN67VbQAAACBpwyel8+fPT2NjY2prazNlypTU1NQ0r9uwYUOuvfbafO9738udd96Ze++9N6tXr97h\nNgAAALBJq5+ULlq0KCNHjkySDB8+PEuXLm1e9+KLL2b//fdPdXV1kuSII47IM888k8WLF293GwAA\nANik1U9K6+vr07dv3+bHVVVVaWpqanFdnz59snbt2jQ0NGx3GwAAANik1U9Kq6ur09DQ0Py4qakp\nlZWVzevq6+ub1zU0NGSvvfba4TatWffGH3f4WF1xdeXcm7qOqSvn3tQZ3+qMb3XGtzrju6vXlXNv\nO6rbWkWpVCrtqOCxxx7LggULUlNTk8WLF2fOnDm55ZZbkrxzTemJJ56YH/zgB+nVq1fOPPPM3HTT\nTVm8ePF2twEAAIBNWg2lm99JN0lqamrym9/8JuvXr8+4cePy5JNPZvbs2SmVShk7dmzOPPPMFrcZ\nMmRIx58NAAAAu5VWQykAAAB0lLZd6AkAAAAdQCgFAACgMEIpAAAAhRFKAQAAKExZhtKmpqaiW9ih\n119/vegWdqixsTF/+tOfim4DAACgVVVFN7DJq6++mpqamixdujRVVVVpamrKsGHDMnXq1MKnk3n5\n5Ze3eHzppZfmH/7hH5Kk8N6Sd/r7xje+ke7du2fSpEm59NJLs2HDhkyZMiUnnHBC0e0BAABsV9lM\nCXP22WdnypQpGT58ePOyxYsX59prr01tbW2BnSXHHHNMevXqlb333julUinLli3LwQcfnIqKitxx\nxx2F9pYkEydOzAUXXJC1a9dm2rRpefDBB9O3b9/89V//de69996i22MnzZ8/Pz/72c+ydu3a7Lnn\nnjn88MMzevToVFRUFN3aNmpqajJ16tSi22j25JNPpqqqKkceeWSuvfbavPnmm/nSl76UD33oQ0W3\nltWrV+eWW25Jz549c+6556Z///5JktmzZ+fzn/98wd0lv//97/PCCy/kE5/4RG655Zb85je/yUc+\n8pF87nOfS9++fYtuz7jYScbG+1Pu4yIxNnaGcfH+lfvYMC52zq4YG2UTSsePH99i+Nze8l3p9ddf\nz1VXXZUzzzwzRx11VCZNmpQ777yz0J42d+aZZ+aee+5JqVTK6NGj8+ijjyZJzjrrrNx9990Fd+cf\n0p0xY8aMNDU15eijj84ee+yRhoaGPPXUU9mwYUNmzpxZaG/JO+Nzk1KplBdffDEf+chHkqTwcXvF\nFVfkrbfeSkNDQ1avXp2TTz45++yzT+65557ceuuthfaWJH/zN3+TUaNGZcOGDbn77rtzyy23ZN99\n983ZZ59dNv/Z9YUvfCHz5s3LBz/4wXzqU5/KL3/5yzz99NO55ZZbCu3NuNg5xsb7V87jIjE2doZx\nsXPKeWwYFztnl42NUpmYNm1a6bLLLis99NBDpaeeeqr08MMPly677LLStGnTim6tVCqVSm+//Xbp\nmmuuKd10002liRMnFt3OFqZOnVq6+OKLS5MnTy5NnDix9PWvf710yy23lC644IKiWyuVSqXS5MmT\nS7W1taW77rqrdMIJJ5T+4z/+o1QqlUqTJk0quLN3TJgwofTzn/+8dOWVV5Zmz55deu6550r//M//\nXDr//POLbq00YcKEFpd/9rOf3cWdtOzBBx8snXPOOaXnn3++9Oqrr5bOOOOM0n/8x380/46LdNZZ\nZ5VKpVKpqampdPzxxzcvL5fxu/nrf9GiRaWTTz659MYbb5RNf5v6OPfcc7dYPn78+CLa2YJxsXOM\njfevnMdFqWRs7AzjYueU89gwLnbOrhobZXNN6fTp0zN//vwsWrQo9fX1qa6uzrHHHptRo0YV3VqS\npKqqKldccUXmzp2bUnl8uNxs5syZefrpp9OzZ88cfvjh+e53v5v6+vrU1NQU3VqSd2689NnPfjZJ\n8tGPfjQXXHBB7rzzzrJ5HisqKvLxj388N998c66++uok7/T58MMPF9zZOzf9+rd/+7ccccQRzct+\n+ctfpnv37gV29a7PfOYzOeCAA3L99dfnsssuS8+ePbPvvvsW3VaSd/638amnnsqaNWvy+uuv58UX\nX0x1dXXeeuutoltLkmzcuDHLly/PQQcdlBEjRuTv/u7v8n/+z//JunXrim4tSdK3b9888sgj+cu/\n/Ms88MADOfbYY/Pkk0+md+/eRbdmXOykUqmUf/3Xf01dXZ2x8R6V87hIWh4bzzzzjLHRBi2Niz32\n2MO4aKOWxsZPf/rTshgbxsXOaen9VEeMjbL5+i6d14QJEzJt2rQcdNBBSZJ/+Zd/yfe///2sW7cu\n999/f8HdJRdccEFOPvnk/OEPf0i/fv2a/yF94IEHcttttxXa28qVK1NTU5PnnnsupVIplZWV+ehH\nP5qLL764+fksB2vWrMkVV1yRlStX5sc//nEaGxvTo0ePQnt66aWX8k//9E/p0aNHJk2alEsuuSTr\n16/PtGnTcswxxxTaW5L89re/zaxZs/KNb3wjH/jAB/KnP/0pjz76aGbNmpVf/OIXRbeX1atX5/rr\nr8+vfvWr/P73v8+ee+6ZI444IlOnTs3//J//s9DeNh8XTU1Nqaury8iRI3PppZdm8ODBhfa2uU3j\n4oUXXshjjz1WdDvNXnrppcyePTs9e/bMpEmTcuGFF6apqSkzZ87Mn//5nxfdXpYtW5aZM2fmG9/4\nRgYMGJBVq1blF7/4RWbOnFn42Nh8XKxcuTKVlZX59Kc/nUsvvbQsrjvcemzU19fnE5/4RC677LLs\nv//+RbfXbM2aNbn88svzyiuv5KGHHiq6nSRbjouJEyfm7//+77Nu3brMmjWr7MbFBz7wgSTJj370\no7L9m9GvX78cfvjhZTE2tn4v9fbbb+djH/tYpk2bVnbjYtPfjB//+Mfp2bNn0S0laflvxrp16/K1\nr32tXcdGWU4JQ+dy5ZVX5pprrsn/+3//L0lywgkn5Iwzzsh//ud/FtzZO6655pr89Kc/zT333JMr\nr7wyJ554Yn7yk5/kmmuuKbq1/O53v8uyZcvSvXv3XHrppXnyySdz0003lcU1EEnyxBP/v737C2my\n7QM4/s28WTU1RFAjjUYULAhqK5MgY56MPDBaTCGdHhj9IwupPCmi2oEV/ZNlaBBRHUbWSVEnnVTG\nEjxoSRHYxthAsFZrzQNzXM/BcE89Pu/B+77xXhfP+/uAByrol8G8vbbrd93P8Hg8+P1+tm/fXuja\ns2eP5jKIxWKMjY0xOjpKLBbj0aNHPHv2TPsLDXMsy6K0tJRLly4xMjJCU1MToVDImB0OqVSKdDqN\ny+ViaGgIm83G+Pg479+/151GLpejt7eXW7ducfv2bZxOJ729vcbsvohGo0SjUb58+UJPTw+JRIJY\nLDbvJHddFixYQHd3N3v37mXx4sWUl5dz8+ZNqqurdacBcOfOHe7evUsymcTr9XLo0CEGBwcZHBzU\nncbFixfp6+vjwoUL1NTUsHbtWj58+MDU1JTuNADGxsZwOp0MDAxgt9tZsWIFExMTJJNJ3WkAPHz4\nkFAoRDKZZGJigkQigdfrZWRkRHcab968YeXKlbS1tXH06FGKi4uxLMuY2xS2trbS3NxcWJAC7Nix\ng1evXmms+pPH48HlcvH06VPevn3Lixcv6O/v174ghfw1w7Is3G43/f39lJaWEo1GGR8f150G5K8Z\nhw8fJhgM0tXVRTwep6mpicePH+tOA/LXjNnZWWZmZpiZmaGoqIhFixaRSqV+7y/6rZuBhfg35HI5\n3QnG8/v9Kp1Oq1QqpQKBgBoeHlZKmTPj4vf71devX43sM7lNqfyMRjgcVsPDw8rtdqtPnz6pTCZj\nzIzLXN+DBw+M69u2bZvyer0qEAio9vZ2tWnTJhUIBIyZU/9r38aNG1V7e7uxfaY9fnMdnZ2dKhqN\nKqWUmpyc/JdzYf9LJrcppdSuXbtUNptVHR0d6uPHj0qpfJ/P59Nclmdyn8ltSinV0tKizpw5owKB\ngAqHw7pz5vm57/Xr17pzftHW1qZevnypnjx5ourq6tTk5KTKZrOqpaVFd5pSSvrmGDNTKv65AoEA\nP378+NvvmXCqmMl9lmVRVlYGwPXr1+ns7GTZsmXGHGFuWRZLly4FzOszuQ3yMy51dXVAfraloqIC\nyM+vm+DnvnA4bFTf/fv3552IbsLpk3P+rs+kE9tNf/zmLFy4sLAdu6qqyph3wsHctuLiYpYsWYLd\nbqe2thbI95nyd8/kPpPbAGw2G6dOnSISiXDjxg2CwSD19fXU1tbS0dGhO29e39mzZ43py+VybNmy\nBaUUly9fpqqqCsg/j00gfXn6/7sQ/3jHjh3j5MmTDAwMGPME+5nJfcuXL6evr48jR45QUlLCtWvX\n6Orq4tu3b7rTALP7TG4DcDgcnDhxgmAwWNiyOzQ09MvWLJ1M7quoqODq1aucP3+eSCSiO2ce6fvv\nfP/+HZ/Px/T0NPfu3aO5uZlz584ZcfCHyW0AjY2NHDhwgDVr1rBv3z62bt3K8+fPqa+v150GmN1n\nchtQeOFj3bp1hEIhMpkMo6OjxowFmNzncDjo6ekhk8lQWVnJlStXKCkpKdyiUDfpy1t4+vTp07/1\nJwrxF9XV1UxPTzM7O8v69espKysrfJjA5D6Px8Pnz59ZvXp1YQbR6/WSTqdpaGjQnWd0n8ltc30A\nq1atKnwtkUiwf/9+I96NNL2vqKiIhoYG4vE47969w+fz6U76hfT951pbW9m5cycbNmygpqaG8vJy\npqam6O7upqhI71EYJrcBuN1uKisricfjWJZVuH/57t27dacBZveZ3Ab5uT6n01n43Gaz4XA4cLlc\nGqv+ZHJfY2MjdrudzZs3c/DgQSKRCNlsluPHjxtxmJD05cnpu0IIIYQQQgghtNH/sp4QQgghhBBC\niP9bsigVQgghhBBCCKGNLEqFEEIIIYQQQmgji1IhhBBCCCGEENrIolQIIYQQQgghhDZ/AMeHs7gu\nRbR9AAAAAElFTkSuQmCC\n",

       "text": [

        "<matplotlib.figure.Figure at 0x9f9eba8>"

       ]

      }

     ],

     "prompt_number": 17

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(monday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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pU75Ms9Q7X6ZZiubLNEu982Wapd75Ms1SNF/rfb/x6Y6uV3ZZuLB9jctuWH7N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\nGAICAjTHBf6JS9++fXXFhRvHzs5O1NX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9+x6912Qy9bA3giAIgiD0JnyftAOCIAiCIPz/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\n",

       "text": [

        "<matplotlib.figure.Figure at 0x10bf24a8>"

       ]

      }

     ],

     "prompt_number": 18

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(tuesday,'Diversity rank during phase 1 tuesday')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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HH291m91paNjU6kFs2LCxzW2LqKvk3g6Euvr6xlbr6+sbd6hX98HrKrk3dZ1T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\nEEIIIYQQQght5KRUCCGEEEIIIYQ2fwEXFnyrSdDd0wAAAABJRU5ErkJggg==\n",

       "text": [

        "<matplotlib.figure.Figure at 0x37173588>"

       ]

      }

     ],

     "prompt_number": 19

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(tuesday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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mi9SlGvkidal1vkhdqpkvUpdq5IvUpZr5InWpRr5IXaqZL1KXauSL1KWa+SJ1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\nRK5CYII=\n",

       "text": [

        "<matplotlib.figure.Figure at 0x3f731710>"

       ]

      }

     ],

     "prompt_number": 20

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(wednesday,'Diversity rank during phase 1 wednesday')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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RI0bksccea/OYTWlqWtHmg2hoWN7usUXUVXJv27Ju7cxlbW3f3P1uq/Oq2/K6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\nNrIoFUIIIYQQQgihzR9AMHllKRHC9QAAAABJRU5ErkJggg==\n",

       "text": [

        "<matplotlib.figure.Figure at 0x37668eb8>"

       ]

      }

     ],

     "prompt_number": 21

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(wednesday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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IAAAAAKWjEAEAAABKRyECAAAAlI5CBAAAACgdhQgAAABQOgoRAAAA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\n83k+z+d5zhHPPkqOVVRU+M0x7vWJtMd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GCCGEED2FPBARQgghRLcqKSmh2tpaKigoICKi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\n",

       "text": [

        "<matplotlib.figure.Figure at 0x3ffb8748>"

       ]

      }

     ],

     "prompt_number": 22

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(thursday,'Diversity rank during phase 1 thursday')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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qJJahBgCAzWBbl9YngLZjlqEGAIAt5/106xNA2znLUAMAwJbzfrp1mQMKAABA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\n8MFUV1fn4x//eL71rW/lr3/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       "text": [

        "<matplotlib.figure.Figure at 0x37176fd0>"

       ]

      }

     ],

     "prompt_number": 23

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(thursday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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8uOefMClSvkiz1DpfpFkqzRdpllrne3uWNZ966Hz1kiVLWte5blf5SrKbQ37D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\nEIX9/v5wzv6W5ZzdfY4c/f3i+cz0h/T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       "text": [

        "<matplotlib.figure.Figure at 0x2e6b23c8>"

       ]

      }

     ],

     "prompt_number": 24

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(friday,'Diversity rank during phase 1 friday')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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AAIojgBZgyZJFOfPy2enao3fjttWvv5qrzhmRAQP2KGNnAAAAxRFAC9K1R+/U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\nAABJRU5ErkJggg==\n",

       "text": [

        "<matplotlib.figure.Figure at 0x2e6d9278>"

       ]

      }

     ],

     "prompt_number": 25

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(friday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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I1FB7e1smTFic3uVoV2tKsiitrUlLy5hNygMAALBxFCJQc6OSjO1ne1eV8gAA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\n5nT16tWor69HYGAgvL29Ve1ctedoWGm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19fDw8EBaWhr8/Pzg6emJmpoa3LlzB2vXrkVt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\nAElFTkSuQmCC\n",

       "text": [

        "<matplotlib.figure.Figure at 0x3fd13cc0>"

       ]

      }

     ],

     "prompt_number": 26

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(satuday,'Diversity rank during phase 1 saturday')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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AAAAKIYACAABQCAEUAACAQgigAAAAFMIkRG2YaZ4BAIBKIoC2YaZ5BgAAKokA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\n0EEHpWvXrlm2bFkee+yxrFq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       "text": [

        "<matplotlib.figure.Figure at 0x759a2f60>"

       ]

      }

     ],

     "prompt_number": 27

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(satuday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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       "text": [

        "<matplotlib.figure.Figure at 0x10c105c0>"

       ]

      }

     ],

     "prompt_number": 28

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(sunday,'Diversity rank during phase 1 sunday')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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m9yGAAgAAkCTp2btvavr0a7f9OwcUAACAQgigAAAAFEIABQAAoBDOAQUAAOjE\nipjddlsJoAAAAJ1YEbPbbisBFAAAoJNr79ltt5VzQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEU\nAACAQgigAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEUAACAQgig\nAAAAFEIABQAAoBACKAAAAIUQQAEAAChEdbkb6MgaGxtTV7es+fKqVTWpr2/IgAGD0rVr1zJ2BgAA\nUHkE0O1QV7csp1+6ID17923etm71y5k9bWwGD967jJ0BAABUHgF0O/Xs3Tc1ffqVuw0AAICK5xxQ\nAAAACiGAAgAAUAgBFAAAgEIIoAAAABTCJEQFaOvlWiz/AgAAdEQCaAHaerkWy78AAAAdkQBakLZe\nrsXyLwAAQEfjHFAAAAAKIYACAABQCAEUAACAQgigAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoA\nAEAhBFAAAAAKIYACAABQCAEUAACAQgigAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAA\nAAAKUd1aQalUysyZM/P000+ne/fumTVrVvr37998/R133JHrr78+1dXVGTJkSGbOnNme/QIAANBB\ntfoJ6MKFC7Nhw4bMmzcvU6dOTW1tbfN1r732Wq644orceOONuemmm7JmzZrcd9997dowAAAAHVOr\nAXTx4sUZMWJEkmTo0KFZunRp83Xdu3fPvHnz0r179yTJxo0b06NHj3ZqFQAAgI6s1QDa0NCQXr16\nNV+urq5OU1NTkqSqqiq77757kuSGG27I+vXrc8ghh7RTqwAAAHRkrZ4DWlNTk7Vr1zZfbmpqSpcu\nf8utpVIp3/nOd/L8889nzpw5rd5hnz49U13ddavte+zRq4XqrVVS3apVNS3W7r57zRb16tq/rpJ7\nU9c+dZXcmzrjW53xrc74Vmd8q2tZqwF02LBhue+++zJmzJgsWbIkQ4YM2eL6b3zjG9lpp51y1VVX\ntbar/3+z67batscevbJy5ZpWb1tpdfX1DS3W19c3bFGvrv3rKrk3de1TV8m9qTO+1Rnf6oxvdcb3\njlz3diG01QA6atSoLFq0KBMnTkyS1NbW5o477sj69evz4Q9/OLfddluGDx+eKVOmpKqqKieddFI+\n+clPtrZbAAAAdjCtBtCqqqpccMEFW2wbOHBg8/+ffPLJtu+qnTQ2Nqaublnz5VWralJf35ABAwal\na9etvxZsDpO3AAAWBUlEQVQMAABA22k1gHYmdXXLcvqlC9Kzd9/mbetWv5zZ08Zm8OC9y9gZAABA\n57dDBdAk6dm7b2r69Ct3GwAAADucVpdhAQAAgLYggAIAAFAIARQAAIBCCKAAAAAUQgAFAACgEAIo\nAAAAhRBAAQAAKIQACgAAQCEEUAAAAAohgAIAAFCI6nI3UIkaGxtTV7es+fKqVTWpr2/IgAGD0rVr\n1zJ2BgAA0HEJoC2oq1uW0y9dkJ69+zZvW7f65cyeNjaDB+9dxs4AAAA6LgH0LfTs3Tc1ffqVuw0A\nAIBOwzmgAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEUAACAQgig\nAAAAFEIABQAAoBACKAAAAIWoLncDbaWxsTF1dcuSJKtW1aS+viEDBgxK165dy9wZAAAASScKoHV1\ny3L6pQvSs3ffJMm61S9n9rSxGTx47zJ3BgAAQNKJAmiS9OzdNzV9+pW7DQAAAFrgHFAAAAAKIYAC\nAABQCAEUAACAQgigAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEU\nAACAQgigAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEUAACAQgig\nAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEUAACAQgigAAAAFEIA\nBQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEUAACAQgigAAAAFEIABQAAoBAC\nKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEUAACAQgigAAAAFEIABQAAoBACKAAAAIUQ\nQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEUAACAQlSXu4HWNDY2pq5uWZJk1aqa1Nc3JEkGDBiU\nrl27lrM1AAAA3oFWA2ipVMrMmTPz9NNPp3v37pk1a1b69++/Rc369evz+c9/PpdcckkGDhzYpg3W\n1S3L6ZcuSM/efZu3rVv9cmZPG5vBg/du0/sCAACg/bT6FdyFCxdmw4YNmTdvXqZOnZra2totrl+6\ndGkmT56cF154od2a7Nm7b2r69Gv+t3kYBQAAoGNoNYAuXrw4I0aMSJIMHTo0S5cu3eL6119/PVdd\ndVUGDRrUPh0CAADQKbT6FdyGhob06tXrbzeork5TU1O6dNmUXQ888MAkm76qCwAAAG+l1QBaU1OT\ntWvXNl/ePHy+G3369Ex19daTB+2xR68WqjdNPNSS3Xev2eI2LdVtS426zlFXyb2pa5+6Su5NnfGt\nzvhWZ3yrM77VtazVADps2LDcd999GTNmTJYsWZIhQ4a0dpO3tWrVuq227bFHr6xcuabF+jdmvW1p\n++a3aaluW2rUdY66Su5NXfvUVXJv6oxvdca3OuNbnfG9I9e9XQhtNYCOGjUqixYtysSJE5MktbW1\nueOOO7J+/fpMmDChua6qqqq1XQEAALADazWAVlVV5YILLthiW0tLrVx//fVt1xUAAACdzrs/mRMA\nAADeAQEUAACAQgigAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQCAEU\nAACAQgigAAAAFEIABQAAoBACKAAAAIUQQAEAACiEAAoAAEAhBFAAAAAKIYACAABQiOpy3XFjY2Pq\n6pYlSVatqkl9fUOSZMCAQenatWu52gIAAKCdlC2A1tUty+mXLkjP3n2bt61b/XJmTxubwYP3Lldb\nAAAAtJOyBdAk6dm7b2r69CtnCwAAABTEOaAAAAAUQgAFAACgEAIoAAAAhRBAAQAAKIQACgAAQCEE\nUAAAAAohgAIAAFAIARQAAIBCCKAAAAAUQgAFAACgEAIoAAAAhRBAAQAAKIQACgAAQCEEUAAAAAoh\ngAIAAFAIARQAAIBCCKAAAAAUQgAFAACgEAIoAAAAhRBAAQAAKIQACgAAQCEEUAAAAAohgAIAAFAI\nARQAAIBCCKAAAAAUQgAFAACgEAIoAAAAhRBAAQAAKIQACgAAQCEEUAAAAAohgAIAAFAIARQAAIBC\nCKAAAAAUQgAFAACgEAIoAAAAhRBAAQAAKIQACgAAQCEEUAAAAAohgAIAAFAIARQAAIBCCKAAAAAU\nQgAFAACgEAIoAAAAhRBAAQAAKIQACgAAQCEEUAAAAAohgAIAAFAIARQAAIBCCKAAAAAUQgAFAACg\nEAIoAAAAhRBAAQAAKIQACgAAQCEEUAAAAAohgAIAAFAIARQAAIBCCKAAAAAUQgAFAACgEAIoAAAA\nhRBAAQAAKIQACgAAQCFaDaClUinf/OY3M3HixJx00kl54YUXtrj+3nvvzfjx4zNx4sTccsst7dYo\nAAAAHVurAXThwoXZsGFD5s2bl6lTp6a2trb5uo0bN+Zb3/pWfvKTn+SGG27Iz3/+89TX17drwwAA\nAHRMrQbQxYsXZ8SIEUmSoUOHZunSpc3XPffcc/ngBz+YmpqadOvWLcOHD89jjz3Wft0CAADQYbUa\nQBsaGtKrV6/my9XV1Wlqamrxul122SVr1qxphzYBAADo6KpbK6ipqcnatWubLzc1NaVLly7N1zU0\nNDRft3bt2uy6667bfOfrVr/8tpe3p64t96WuY9RVcm/qjG91xrc641ud8b2j11Vyb+rar+7Nqkql\nUuntCu65557cd999qa2tzZIlS3LVVVdl7ty5STadA3r00UfnlltuyU477ZSJEyfmmmuuSd++fbfp\nzgEAANhxtBpAS6VSZs6cmaeffjpJUltbmyeeeCLr16/PhAkTcv/992fOnDkplUoZP358PvOZzxTS\nOAAAAB1LqwEUAAAA2kKrkxABAABAWxBAAQAAKIQACgAAQCEEUAAAAApR1gDa1NRUzrtv1SuvvFLu\nFt7Whg0b8te//rXcbQAAAGyT6qLv8IUXXkhtbW2WLl2a6urqNDU1ZciQIZk+fXoGDhxYdDtbWL58\n+RaXzznnnHz7299OkrL3lmzq77LLLku3bt0yZcqUnHPOOdm4cWOmTp2ao446qtztAQAAvK3Cl2E5\n6aSTMnXq1AwdOrR525IlS/Ktb30r8+bNK7KVrRx++OHZaaed0rdv35RKpfzxj3/Mvvvum6qqqlx/\n/fVl7S1JJk+enFNPPTVr1qzJjBkzsmDBgvTq1Suf+9zn8vOf/7zc7bGdFi5cmN/97ndZs2ZNdt11\n1wwfPjxjxoxJVVVVuVvbSm1tbaZPn17uNrZw//33p7q6OgcffHC+9a1v5S9/+Uv+6Z/+KXvttVe5\nW0t9fX3mzp2bHj165LOf/Wz69OmTJJkzZ06++tWvlrW3l156Kc8++2w+9rGPZe7cuXniiSfyoQ99\nKF/+8pfTq1evsvb2ho4yNoyLd6aSx0VS+WOjo4yLxNh4J4yL7ddRxsaOPC4KD6ATJ05sMWi+1fYi\nvfLKK/nmN7+Zz3zmM/nEJz6RKVOm5IYbbihrT5v7zGc+k5tvvjmlUiljxozJ3XffnSQ58cQTc9NN\nN5W5u0384nx3LrjggjQ1NeX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       "text": [

        "<matplotlib.figure.Figure at 0x3fcffbe0>"

       ]

      }

     ],

     "prompt_number": 29

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(sunday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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AAIDaUYgAAAAAtaMQAQAAAGpHIQIAAADUjkIEAAAAqB2FCAAAAFA7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\nI3p93yzvcVY0e9HHTJHXpVXJU/Q5VeT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       "text": [

        "<matplotlib.figure.Figure at 0x2e6bb1d0>"

       ]

      }

     ],

     "prompt_number": 30

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Tras las siguientes visualizaciones algunas cosas saltan a la vista:\n",

      "\n",

      "- El gr\u00e1fico de diversidad de rango conserva la forma que tiene cuando se realiza la visualizaci\u00f3n tomando en cuenta todos los d\u00edas de la semana y tomando los subconjuntos formados por d\u00edas de la semana.\n",

      "- En el gr\u00e1fico donde se muestran las frecuencias de las estaciones con respecto a su presencia en los rangos puede verse que la frecuencia aumenta r\u00e1pidamente y despu\u00e9s disminuye.\n",

      "- Las estaciones que ocupan menor n\u00famero de frecuencias en los rangos por lo general son las mismas, sin importar el d\u00eda de la semana."

     ]

    },

    {

     "cell_type": "heading",

     "level": 1,

     "metadata": {},

     "source": [

      "An\u00e1lisis sobre la fase 3"

     ]

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Una vez realizado el an\u00e1lisis sobre la fase 1 del sistema de Ecobici lo siguiente que hay que hacer es realizar un an\u00e1lisis despu\u00e9s del proceso de expansi\u00f3n del sistema, la fase 3 (la fase 2 no fue tomada en cuenta debido a la intersecci\u00f3n de tiempos en la implementaci\u00f3n de dichas fases, en muy poco tiempo se implementaron una fase seguida de la otra, sin ofrecer un espacio considerable para visualizar una estabilizaci\u00f3n en su uso, por lo que se opt\u00f3 partir con este an\u00e1lisis desde el principio de la fase 3). Tomamos en cuenta todas las estaciones que pertenecen a la fase 1, 2 y 3 y partimos el an\u00e1lisis desde los \u00faltimos d\u00edas de noviembre del 2012, donde ya la mayor\u00eda de las estaciones de la fase 2 y 3 se encuentran en uso."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "phase_3 = load_daytrips()\n",

      "phase_3.drop([col for col in list(phase_3.columns.values) if col not in station_phase[station_phase['phase'] <= 3]['station'].values], \n",

      "            axis=1, inplace=True)\n",

      "phase_3 = phase_3['2012-11-29':]"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 31

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Como se realiz\u00f3 anteriormente, primero se hace un an\u00e1lisis tomando en cuenta todos los d\u00edas de la semana y despu\u00e9s se hace un segundo an\u00e1lisis sobre subconjuntos conteniendo un d\u00eda de la semana espec\u00edfico para refinar un poco los gr\u00e1ficos:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "dr3 = get_dr(phase_3)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 32

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "El periodo comprendido abarca alrededor de un a\u00f1o y un mes de uso y un total de 270 estaciones, 180 m\u00e1s que las que comprenden el periodo de la fase 1. En las visualizaciones de los gr\u00e1ficos para mostrar la frecuencia de las estaciones se tomaron las primeras 140 estaciones con el fin de mostrar legibilidad en el gr\u00e1fico."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(dr3,'Diversity rank during phase 3 for the whole week')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

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OnNAll1wim82moqIi/fznP5fU+Z8Es2bN0ssvv6yioiK5XC698847kqSDBw9q4sSJ+vvf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\nuKQ4ntGqAAAAAElFTkSuQmCC\n",

       "text": [

        "<matplotlib.figure.Figure at 0x759a6208>"

       ]

      }

     ],

     "prompt_number": 33

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "De nueva cuenta se ofrece la visualizaci\u00f3n con heatmaps sobre las frecuencias de las estaciones a lo largo de sus d\u00edas:"

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "a3 = dr3.apply(frequencyRank, axis=0).fillna(0)\n",

      "plot_freqHeatmap(a3)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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CXkklNz88jOeeXMuCRVMA+N9aRch26tdcs7ZtWXOIK8d00ITaoXc/A6Dr7PEU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EVb9edwavYOanZzrPPV30e1lcloYjDjQSyV3lOF3+1URGXGA7Wau742j4MhfOqppzTHBgcH\nqa+vZ86cOWN2ri86Oj5xfAwpp+qgdDwKpTACozTSr+IIvooyeFRSa2O0HfN6aosLdZp0ODVYBokj\nBfCa7tSpxETSlIcFpqq+NMFzFDsn/u9VxKBkkGswGgi4XRgsEXXUiLeiVTkv5Pdjiosn6PVovCI1\nDCVh6xGDUUnPHnbPDAatgJNqLKqbMux+xMKELzpPTMCi80U9IPx7g74264iFsbwMZbAQ8geGs3JR\nKZODDfWASBmNFVz0VFUTl5U27LPBhnqMZvMppYmOxAS2bHpf+TmxJEfDBEaPVwbCU668RAl0JAbq\nxbz9bi9mu1VJ1ZXqmrK/ps0ipbZmTyvF01KYumIWni4RoKcvmKfcv8CQh+7qRuV6apEeEOm71rRk\n3n/kPc6/6yLFdqLrSAczbr2ME6+9S8Z8wfqdfLcGa7wFr8tH1txCLMmJyphCfrGW1b2+X4zR6SfO\nYWb37hYuu2E2aZWl4XZ+nE1tdNS04h0Sa++6jbXMn5aD3W6m9JwcRWV0/W/fZf6iPP7n+T1cVCEE\nmfYcbeWm6+bi9/j5wi/+zNUVQiSqJDOFPcebmZaZwWevFR6Sf3uuiqf3buIXq29g3Qe13H7FOQDs\n2tvCiium4/P46Wt3cuSIEDsqzE9k3k3nEgoE8fYOAGBLT8ZosWDPyaN7X5XCHBpMZnx9/VhTk5V3\nF6loOhb0tXkMUZl777132LGEhIRxBYM6dOjQoUOHDh06dOjQoePsxpi2E++88w5ms5lFixbxs5/9\njP7+fr797W+Tlzc2Ha3vQur4SDAS63eqbGB0CmyMFNeRUjCV41HMEaCwbhBO91RdR13LJv1x1LV5\n0rbEYDJr0mc1Ka2IOj9pRSL6C2mvpxoLRMSO1NYsapbMYDQo/5YiRXI8gFJfRyhEKBBA/tlQ7FRU\ntjBqyxRNnaIUDlKNS7KTQZ8PQkGMFqvmeuOxLQn6fBpxJPV91pwLStrsJwV9F1LH2QB9bT77MZqY\nSiwBk2h2Lzq1T91+qK2FUCg0alogiLTBWDV2I43txGvvkl5ZMkxUxtc3QFJ5+bA5RI9BXqtj+24c\nBWIuzqZ27DlpdFc3kjFvqnLdmsdfp3j5bJq31VKwtBIQWSo1L+xk1g3nU/X0NspXimu62oTBfGpF\nMY99fy0A19w4h67jvZgtJqzxFvIvFgxWx64jtBzuomB2FvveEYJCDa39rP7HRXz4Vh3L7ruBn9zw\nKwD6h4ZYtbCU13fVUZGbxawZwhS+tXWQ4mkpdLY6ae8UfniV5+Tg94n1qbPVSek5OQDs2yJYwemz\nMujvEmu+1WaiO3xeRo6DhqNi/Cu/9Q+s/ekGysrSKD5fpKKuefh9PnttBa11PXR1utiwT9QQ3nH1\nfIacfp7fdECpIZxSno413oKrx03ugiJ6j7QBYLabiUtPwGgxE5clUoDf/t0mrvjpLbz9k2fZU9vG\nV/7jCgB2PL2LypVlJJYWKjX/7rYuHIW5WFPT8XR1KMePvrqX7Fk5ZJw3n/7DhwFImj4dT3cnoUCQ\nuMwsnCfEPXY3d5FYWogtPTNm+qjav3A0ISu/W6TzylRptf/gx1lDOBnX5lEDwnvvvRePx4PT6aS7\nu5urrrqK7Oxs/vrXv/LYY4+N2bm+6OjQMUkwkg+kOhV1hBpSRaE2ygtTMaKP8s1UgkuihG1CIW2Q\nGm4Trdw7LAg2yuDSGwlKFWVgr7iGyt8z5PdjtNkJ+kWxP4EABotVjCMYAtm/DOotFoxmq0gtBVUw\nbFXGHgoGMNsdmpoE5T6p7stELzqHn3zhjPuYftvnJ2AkOiYT9LVZh45PBtE1oWrIlFGjzaYE9127\n9xEMB5LmeBuplbPxdHcyWN8EiFRUdQ1q124hNhOfn8XJd2tInpKq8XTs3HeMKVdeQl/NQZIrZgJw\n6KkNZFbkULf5GLnhusmsc6fTtf8oRouJjrouRb22sbaLypVlBH0Bdr52WBl7+bxs/B4/9qQ4qj84\nCcDs8/IxWoxsfeMoFbNFsGy2mHAPevnRM6/ztWUX82F9BwBpDjt/fH8Da+77Kn9bW83+FjG/r61a\nzMmWQaoa27holkhRvfel55mVVcY3rrmA7GmptB/rAcBkMmKyGMkqzyQYTpc9Wd3OOXetYOBIPUkz\npitrdtAzpAkq9bUZRlWRaGho4OmnnyYUCnHFFVdwyy23APDEE098LIPToeNTj2jWawzhnnGrWkbZ\np2gCuhjBn4Y5U9USKk0wijby/4YICxgKBAkRjFiUGAzh+katSigGgyYYhHDdodLeEAkC/X5kRrsM\nsCSLGPSHhXTCjGnAG2ZpDUZlV9BoNosAMXy+DCmNZjOB8Pxk25C8n6EgBos5ElTKmsJAQKOaajQa\nCAb8hAI+jdKpeqzqe/tRIlowQocOHTo+CZzttgvRTKdkKKNtJ2TA1lNVrakR7Ni+m8zFC3A1ncAT\nFu5Rf37yzS2kVhQp/45mUAcb6jHF2XCdbCcw5FFqC+3Z6Tib2kksycPZJGohrUnxOBubSV8wD2dL\nnyJC01NVjbu1GefxVlwdop4uuH037s5Bgtt3E/IHMdnFGuQ62U7NnlbY08qFFrEWpy+Yx7ZfbiTr\nXGHR0r5lJwCJ2Qnsf62W8vPyCXjFet3w5n4SsxNoO9SJ0WwgdZpg7Na+XEPlyjIArvipiAle/cHT\ntB/v4/92NbD83GLauwW7+aMHN3DVvAqSE23EOUT2T94FZex4SiirLvpcBUn/JxjNKbOz2HLsGK6+\nIdITIqxeZn4iAwNerr64nJwywV6+tvL7mOwWBpt78Qx6sTvEnBOzEnD3uuk93kPuucUAJLUMYIqL\nJ7FMy3KPZpUzEZiMa/OoDOHNN9/M3XffTW9vL/fffz/PPPMMCQkJfOMb3+C558aWVP2724UcLZUR\nhrMsqs+VF31TlO9frNS3KMZFrTApLmOMnf4YfvkmFIpcJ1YAIscaY2wa5kfdLnqucjzhl31xvlEb\nJMgX87AoijrQUCtiGs1mxVZBskjRipwGo4mAx43JZh92fWCYp6NUKI3lGxkrjVMKi8jzFZuEgH9Y\nqqXRYhkWuKnnK49LWwOpNmq02pR28l6L5xbUCK7I+x7r+6Fm64axVdHPKCpdVvP5JPxjNirGUsX9\nmDDRu5BHnv7bGfdRdst1EzASHZMJn/a1WZ1y1lcjfPWsaUJoQp1WOVBXR9DrI7liJoPHjpIwdZqm\nn/7aWtr3C9amYGklcZlZeLo76dx1SLEkAJGuKcUsAFq3HCCpJEMRTen8YA8ABrNRo/AJIlA49tYB\nMkvT6ajrYvo1i8TYjp4gc/EC3K3NDLULgQ2j2aSofg7UN9N1RLArxZfNp6f6KCkzi4apjEo2qqeq\nGoCgz09HTSvxqXb+/JftfOmGBZr5Na7fTG+LCDYq77qSlk3vE/QFMFpMioVCxrypbPr9uyy6agbu\nTmFd4Opxs+71Q1x3zWwef3Y3y+YVAzD38nKe/O17fOGrFyhiLHvXHVCCj2u//1t+sfoGAP7tuWd5\n55Vf0brjKG9sOAJAYVYiO46cZHZBFgsvLKSxVnx3G5sHuOKL5+AoyKJ5m/CPfPDJbeQlJfHPv72Z\nqqe3YbWJ9bF01Wxe+Pn/ceOPr1CEX0pXL8fd2kz9hv0M9nqIc4h3ovz5BdRtPkZyZjzvbxXP/oYf\nXkbztloaa7tYfPsF9NSINMe1az7k2lvnKUIztvA9b95WS+nq5ZogtObx18mek0v6gnk8fvej3PCj\ny5XnI20rpHhN4rRC4jKzNCyefIaSIVSnVLpbmwn5A5jscdjSM5XjsVJ7R2MoR8LpnCMxlnqoTBl1\nFBaN2GY0+Af7MSckRf4dpTTqdw4qG82muHilFOejThmdjGvzqAzh/fffz0MPPYTNZuMvf/kL3/zm\nN3G73dx///0f1/h06NChQ4cOHTp06NChQ8dHhDFFZc4En/ZdSB06ThunwsLFSvUcgd2LNmEf6Wd1\n39KvUV2zJ0Vm1OmaauEZ5fRw2mT0Z5I9xWBQduSMJjMGk4mgzxupwzOZI4I5BqNS12cMM9hBrweD\nefi+lcFk0YjsYDBqmN1QMKCkjQo216rcN8UeQ3XfYt2nWPdXO/nYbP9oz3WidyHrnnnxjPsovfna\nCRiJjskEfW3WMRFQM1CjpYx6ujo0zJUaZ8I+xcJAXR2JpaWCdbMJRtLvdCpMXbTvonocIFItHQXZ\nGp9HaTivnisIO4rEaYUMHD2hYQhBCK3Y0pMxxYkx1G/YT8WXVimsZMWXVgFQ99xG8i4ox2gxK+yl\nI9OhsMXb/riJKeVi3ehq6seeaCUu3kLhPwi1/7d+8zbF01JoONrLtOlptJ0U7O7v3niPFdNncW5l\nLsfqRY1d18AQX/7p1Rx/q4rkgmS+/5/rALikdBoLFuTyh7/tYOdJwSR/7cJVZKXF4xryEwgEOdIq\nWGq7xcL88mz+7blnOTc/kjJ7SXkJm2vruW35XA7VibY5GQ6ychwUn1+Et98NwMEtjZQtyOVPj73P\n5YtLmXvjQjHnwiKOr3sHS7wFa5Idg1m8jySVFYt7fayRpFLxcygYxO9yYc/JG8YQgvi+mR2CJZSi\nMmP5JOpr8zh8CH0xTMEB1qxZM2bnE7rofFRpbB9Rv5oXy1gv8mONSbaN8bNMn1SnhsY632A0RVIt\nES/6RrNZU8cVCgQ1qpLAsHRM+aKvefkPpzkGA37McfHixdsUSV9VG8UrSpTBgJLuGf15wOsRaZxR\nL+vRSp4yzVLx3lOntsqU01jpj1H+d7FM32W6ZbQS5Uim7Wp1Szm/EVN8x6GMqvH9i3FNjaLpeL9H\np/DdHnd94qcNH3WKrKp/fdHRcTbgVNbmwJBLo9Snhq+/F1//wCl5xvn6hWLiWDU87uaTGMMv07FS\nzmQqmnzR83SJ9En5uybPkR51oYAfe04eLZveV4zEZcoogD03S9mokgqI6vMBfH39YuyJDjxdYh72\nvBzcza0YrRbcreLFOy4zCWtKEu07DxOXEo8xXMPVXNVMclYCCQUpygtyz/Feqva2suqfFvP6n7Zz\nyTUzANj5xlFWfmcla+9/lZIiEWhMOSeXtkOdxCVY6O8aIhQU6/srW4+wbF4xGTkOag+KZ/vzt9bx\nxuP/j5cf2cn5FxaSmJ0gxpaeQN3mYzidPmYumcKJ/UJp0mozkT0jA2uSnbee3AvAqn9azD/ccC9b\nNj7Mtj+/qyhjel0+SlcvZ8dv1jLtomIA6jYf42TzIJf9y1L6jjSRWCLaerr6CLh9GMxGRdxksKEe\nX7+T1MrZdO3ex/7XapV73Ng8QFpyHBXzxfmlq5cr6ZY9RzsVRVG/00nN2v3M/vwCJfALBfz4B10c\nfesgCel2pe2xV3cz5TMzNLWC0gex9+BxkssKlO+wuobQni3+Xlf99QNmf34B8QWF7PjNWhb9yzUA\nStBZ9fQ2ypaVagJCg9kUU0EV0HwHlX4s5hGVY+ue26jcCxi/ibsMfg3m8DuKP4DBbBL1bUbTMN/G\nkYL6kYJ2tTH9SOefruH84LGjAMPSuCcSfucgZof4vdDX5jECwv379/PDH/6Qhx9+GJNJ+5KYn58/\nZueTZhfyLKkv0mCy1HGdjtUDTI65wfjmF2tOZzLPqHMnLFCLZhNl0DlW7Wt4LDEDXlDqPIdZeKj7\nV81nWL/hduqaThloB70eRcxFHpd1pJr7EgqKDQmlXdi2I8w8RjZntKyicizWz3J+fm/E+gPV5oHq\nXkhm0xwXr5FcVwvtwMQvOkf/+tIZ9zHtps9NwEh0TCZ8VGvzaHLwp4OBOiE4kVhaOmKbsXb+TwWe\n7k4gdgCqHlNiaemIZuigZcTUP8sX61NhxUZrq34hl8GDHJcUJZHtYr3oq4MUWWuprllTX0d9vgxg\ngj6/hjXzDTgxxdkI+v0xrSqMFrMyXjk3YMTAaTS0bHpfCeSin4W8F3JOpvg4pc+O7bsBlPpMKSoj\nxxI9nuhrmu1WJbCte24jjkwHuUvP19yjWLV7UlRGWnlI5tCek0fH9t0kluQpTKSsQZQ1hNGs5kBd\nHd4+Ubtpz05XlEOjv2tv/eZtzr9mJgnFueExtJBQnMvxt6oovmw+3m6xgWFNSSIUCjHU3q2MIX3B\nPA49tYEZt15G4/rNeF1i48QabyH7glm8/d9vkpYm6vA6O90svm4WHTWt9LQ52bizAYBrL51J28kB\nZiwuwJYmGLvEaUWsv/8V9tS3cOHMQmYtFrFE3d5WPJ4Ayck2MvIS6GwW88vISyAuOY62oz0ULRBt\ne493k5iXxMnqdgwGFFGZrNm5uDsGsCbGYc8SwfnhNw+RnBlP0aXz8Q0OEhwSa3VcdiYGkxlzvBiX\nNfnUg9bRMBnX5jFTRh999FGKiopYsWLFKXfu7e8axmopL4t+P0arTfOyqAhqSMYlzNSomRvRVLBL\n0YIZGlZFLW6iZtTC11KPZdwYJT1Pfi5ZqlgCKZp+JCR7FcX6yXZqFk1zD0FJ6ZPpfEqXYcESjdKi\n1aak3xkMRgJeT6RfVT+gfek2mIyRIlypuqhKDZT3QJ6jfnbqPuS4FbGUsJ8dMMx7Ts5B/cKvffkP\njXnf5L0did1T2kU9/xHbn06Kpw4dUdADQh1nA7z9Xcpmi9zMCPl8hIIhBo4eJ33BPPyDgg0zmM14\nu3sIDA1hSRapWX6XC0dhEX01B7EkJRD0ij4MFjPtu45S8rlleHt7lOv1VteRNq+cUDCIt0+IngQ9\nPjxd4hpx2cJfzJaWiiUphf7aWo1vnQzUILLJog48o8U3Oj/YQ8LUAoxmE+4WESz0HWsneWoWrrZe\n4tITAQi4vSRMLRBjyMxSAlApNNNfW4uzWaS/xWenEJeTiS0tg56qao5vrQeEYMlAfSuWeBvOVjGf\n5iNdnHPrBaz96QbOX1aC0WIM95FE6/5mcubm8fbT+wFY9c2L+eMPX+GWO87FmmRnzcPvA3BuZS5W\nm4nyzy2g6pntgGAInR1Oupr6SS9I4saf/B6ANfd9FYBdW08wY4Z4sf3Lq3u5+rxyys/LZ6BtkOy5\nYp4DjV24etw0N9qIOX4AACAASURBVPSRU5jEYK94F6i85QJ6qo/SUdfFm5uPAXDXD1bgautlz1vH\nKJmeRsllcwE4+W4N9pQ4UiuK6Nwn2madO52O3UcovPxiWja9T89xwaBmz8kloTifgHtIUee0JDlo\neq+WGbdeBohgSUL6EKqtEuILCql6ZD2lq+YOSwPt2L6bxGmFyjOMBRlkRiuHxkKsADw6IItmxnRM\nPLw9YtNqojZ7xoK+No8hKgNw5513fhzj0KFDhw4dpwp930GHDh06dOg4uzAJ1+ZPRlRGMmmxxBtG\nMsgeoZ+YbN947B9i9RHrEiOkyY2JiWKUJmOKpcSpiHGMdPzjmv9EXCfW93qUvkf9bo03VXUUz8KR\n2qrtSUZkWMf5+6Opawwj6PMKIRgVkw0otZ8aCw5pj2E2C8ZYsuoBH0aLVbDXUTWo0Wmdkj0PBYLK\n3EzSwsNgEPOMrrNV2aFApG5W/qyec6x6VY04DWjsX0Z7dhO9C3nsubVn3MfU1ddMwEh0TCbEWptD\nAT8Brwf/oJO4zCzBICLYQGtKKt6eLqVmDcCWnjksRVT+293ajClOWAB5e3sV5i9WKp2nuxNfvxDC\nkO1AW0Oohkzn7PxgD4mlhSOKlYBgGaRBtWSP+moOYksX1xiL4VEzlTINUWK0FMtoSIYz6PVitFhG\nFViRGSryWmrGSqlnDAYI+vwxUzDVdejKeW0tuNvEMw/6/IpoSjQk0yrTJ6VNR09VNZYkx7AaPL/L\nozB5EEmnhQjrl1Bcgqerg4B7aMRaU3Vb0KZcdmzfjd/t1dTcyXOMZvOwlFH1GOTxnuqj9BzvVYRc\n5D1xNrXh7XcP6/vkm1tInxupXZOpsYMN9bhbu0ksyVPu+1BHO0GPh/iCQoVJdDa1k1Ccq/EbtKUn\nK6mpau/Dju27cRRkEV9QqNQKZs7Op+9YOxaHFWuSXUn9lXWPMu0YRF2gu62LoC9AUtkUJdPryCt7\nyJ0jnrGsYf3Zf7zKN+5agqvHjdlmxjMomH2TxUjRikq6q47RFWZ204tS+J/HPuCm6+ay9uUaVl4y\nFYD/98QGHvzBappqOpixUvxutO1vwjvkZ/fuFmaUptHdLbLKLvriQry9TnqPd+PqE8emrphFT80J\nzHYLiUVZuMIMvKffTdAXJKEgha5DbcqYM2bm0l7VhCXeQsYcYUwfcHsIeH0kzyjFN9Cv+f0wJzhw\nNTZhtInMM3O8nbgsUY+qrhmMhr42f1IBoQ4dfy8YK7A7laBOfZpMow4GNJ6FI3lEKiqi49h8UIsR\nRadZS99Frbl8MKIqikj9JRQUvooxfB7l+JXxRg4qdYDqtGSZDh3wejCarQT9XowmsyIAoaQpq4zi\nQwEfprj4YenUakR7cQajBLSUdGxVynPkZIPGF1IG98qGQFTKuhzjhC86z6874z6mXn/1BIxEx2SC\nvjbrOBsQnZ4pUztjbRxMFGTQ5unuIy4rbZgxvYRaVEb6A9pz0kgoLhmWMirHKwO65CmptHzYwtQV\ns+iubgQgbfaUYcEhwMvf+18q5ufg9/gx28Sa5Mh04HN6sTis+JxeWutE+nXZslIGGruIz0xUVDjt\n2ekYzCY+XLMDR5KVxKyIB9++LSdY/vVLqHtdpCf/+5NvEggFefj/3UjH0R4sYZ/Ghroe7HYzbref\nN6uEmMvNy0Rqrc1uYePWem7+ogj8311/mPmL8vB5ApjCqdDf/cM6/vP2K7j3L6/y1WUXseuIuD/X\nXjoTi83Enh3NXLBCBJR73m1k1fdWsfXh/2PG4gLMdhG4yYDQEm8hfUE5vt7wvcpIp/6VD7DEW5T7\nk7Okks7dB0ksziYUCOIbdAFgslqwJCdiirMp67vrRDPxBTkE3EPY8/IVUSuAUCCANUWY3U90DeFk\nXJsnd0A4XhZujNo/Ta2aNG+Xn/n9CtsRS7Uz+iVWKnCGVPV0hIIYzGZCfj8YjIQCw5VbZR2drOcL\nBQMRsQ6JKFZDKoYqhuhqAYtQKMLUEHlpV+oS5TzCcv0KExK+X9H1m+JwUFsHKIc1CoMaaw7DEEuJ\nM5pti/qaqms1NWMYL1N8iuqbIwVamrFNFhZXx8RjhO9UKBgg4HZ/ZEpmk3HR0fHJYyLX5lhCMmqG\nEMCakvr/2TvzwKiqu/1/Zp/Jnkz2jUAIgYABQRCVRagrrrW26utS+7Z2UVu7aTet3e3y6/L2ba3V\ntrZa3yqtFhV3NLIICARDWAOB7DuTPZl95vfHmXty72QSIgRL2vv8QzJz77nn3hly7nOf7/d5NNuD\n6AEcqK3FmpYiVb/evftJOWuu2G6gj74D4uY0saSQzu0HcDgTZLj57nX7mLdqBgG3j/i8NLzdwoTC\naDHRXdvFnsp2Lrh8Jp21Sqi7gZqDLjp7hzlnXhaAdNrc8uJhzl6ax9sbRD9cvauHc4pzqWvv5aor\nhQI46HIz54bzGDjSyO9+UcFNHxH9dPEZ4ga8dX8n9jjxQKrggmI2/2UXq7+wimMvV1G4YhYA5oQ4\n/H0DPPr917j5k4sBeG3tfm54cA2+7j4qn63G1SOUlM7eYa67dYGIH7ha3Ix7Xb0Md/SSWlZE88b9\nOGcL5cPjGmCoa4i8FWX0HhRB3/4hHxnnlGAwGDRqoLu9FYPBwNZHNzFnWaG8IVeUPrW5iq+7j+Sy\nObL3zlVZBUDP0ePS8VJ5zWgxM9jcjXfQR3xGvOwhLLv9cryuLvqPNMpjqF02FcUMYKCuncTp2Zp7\nhvGIYe3aDdJ8BUbU2limMgBmh32UI6ZCQtXnHX3NTgZjkV31+4BGxf2gehI/yGNNJpS+5uiYifHg\n6WyXCmHI75feI57OdlxVteRdsgzQ12aY6oRQx9TDSWS3wRiK0hjbqVUtGQ2hKhtUm8aoyyfV8RTR\n26hjOJTtDCazVMxAG6+h7K8cPxwIYLRYpUmQMqdRDypUJFdzXsHQiMIXuQ5CMTNrFULV/krMCIwQ\naEBjVKR+oKA8JDBabSNlnCojI7UyGP2QQJ1ZqDx0kM6jqj8x8tiqbeU1jf4c1QZCmjdP/Jp6f41Z\nkWJIZVY91NCUwIbk3GRpq8GgdRSNdlVF+9lpTJCiPmN90dFxJkBfm6c2TuaGfiwjFEUx8/cPjip/\njTbricZwc5PGVEZxGY1F4mrXbpAE1pIUz/7n3iNnlpP4nGQZO7Hk1iWSNKnVNkd2Gl5XH0c318vI\nh8H6Otp3HOXA7nYZUWGNs7Dr7Qau+3+3seNX67BGFLCsiNFOX3MfhavEA4e9a3eSM8vJvT9bx29+\ncgtv/q0agPMvnkFioRNHllNeq9q1G0guTKXrUCfWOAuOFEEw3b0eGmtcFJY6CXgDOEtEKfBn7/0L\nD952CeV3XEnj+o3inCNqH8BbLx3hqk+J/L2eo8dJLkzFHGdj8/8Jcr3ytkVUPlvN+Z9dxdZHKnhl\nlzA7+v6j/826H73KFZ9fTs+hFgDaa3sYHPBSWOokKTcZk0OsX0NtfbTX9tDePsjFX1wduWZt7H2j\nlrOvmYsjJ1O6jAa9ft57fj/x8RbK/2spAJ7OSO5gTqamVLpx/UYKr1ypLafuaMNotTLU1EZq+Tz5\nXTOYzfh6+rA5U+W62l9bT3xhLp72Lrr2tZA+R1xjk8NG46bDTLuwlJ5DLcRlCdJnsor9WisbmXX9\nBeI86poI+vzY0pKwZ4woe70Hj5JYXIAtLZ2gR6iG7rZ2rCnJBN0ebBmZ0qzGZLdjcsTLeelr8wRM\nZXTo0KFDx5kJXZTWoUOHDh06zixMxbVZVwh16JhMRKtXY2TwjSp1PdEYUSW1Yylo6tdjGtzEmrJi\nDKPqE1SMVEZFvagMXECldII2f89iETEnJtNIj18oSMjvk+XRynUxGE2jFEllH3UPoDoeJRz0Y7I5\n5BiKwqmOMJHl3KpSa6X/0GA2q3oPA4SDQRnJoqh7Ss9iOBQcMb0BDCYTIb+PcDiMORLYHRgewuRw\naK6T+poov092n0L9sy+c8hhFH7l6EmaiYypBX5t1TBSxcgHHClJX3jtR/99YWYOxegjHGi/WGOoy\nzej92iq2kVpWJHP2vN19hPwBbM5kjGazNN0ZauvDZDVpTGXsWTkMNzfRd6SZ5JJ8aeYzUNdKxtJF\nMkeweeN+QATIuyqrcC5aIEtD617dw/TL5jPc0knH3jYZ4RGOmB6pTWmMNhvhYICWTQdILU6XvYyN\nFfuZdnE5gcFhqRA60hPY+0YtZ108k3AgxL4KodjOPDsbR7poVdj7hlAYB4f8XP3jW3j8s4+xfPV0\nMueL69O6o46v/349P/7Mlfg8kRzCaSk45xdz6LldFCwZuY5xeZkYrVZ2/2kjqVmiXProQRcX33sZ\n7z2+ka1VLdz+1VWRbbNoeHU3x1sHOftWUSLcvu0Qdfu6KCx1klqczlCb6BX81e83cfH8YpZ8uAzn\nogW0vvEOAJ213RQtm4E5MQ5frzCf2vCX3Sy/upSBtgHSy7LpPizMgzLm5dF9qI3jTf3M//hKAN7+\n5ass/8wKTA47vp5ebOniWno6ujDarcTliTgWW0rsyJKTxVRcm3WFUMd/JmJlEKp6SxWDEaWfM7r0\nTzOO/HE0AVO/pnbkVEhQdMaiPG5USaJSyqrAYDQR9AxjtFg1va3hYEjmTCqkTOweFs6bKjKnhsE0\nYqpiMBlHflbIGKJkVilTHXUZIqRJXDsf4aAokQ2HQ5p5y+xRST5DGtIcjizWBotRW3YKYFAImRGD\nyaa5bsp2irGNLPsMBsRnZxTHMDvixTbhsOa4RotV9NxaR5rRTTZVtqeqhNhgMmNSu4qCCLeN/K7O\nR43OSp10jGGYo0OHDh3vF56uTo07KRCTuKnJmsEs1jRln2jypnFJjZQSjoWEoumyv1Cd/Xfgz69Q\ndvvlDDc3cfhFUVY58/J5spRTySFUu00ONXfi7xd9pS076im8cLYkdgDD7b2klc8g6PGy7x+VFC8v\nAiDjnBKq/287zvnFuPaIHtbUsgAbfrOR7j4PV3zcKl1GQZTV1m1vIulIlywZPees6/jTF/4bX79b\nlon+34vVfOmsHL734At85vrF/Par/wBgW0Mtj/zs4/QcaGDd03sBmDNdGJ2kpceRtyKTP31TlB9e\ne+NZbHtsM8mpdmkI4xv2k54dz2fv/Qu/+Op1o65p3fYm5q8RpZ0//t5LFD22nmvvPA+Pa4CeQyOf\nx6+//lGGe9yk5IiMzuZ9nQx0DNJ9fJgFixaw9WfPAlC6Guq3NTD3qnmyZDTx9S0A5M/L5OYlBXTs\naQYg12Yh59xiipypDBwT1z1v1dnkrgzStKEKW2oiQbe41/jFiw/Q8PzbeLuHGKitlUH2JVfmc2R9\nNWU3LZPfxUtMJow2C5Y4G2kLygFR7hs/vRB7dgYFDgdmh9h/xV2rsCQlYbLHYU5Ikmuy0WbHZLOP\n8qeYNEzBtVlXCP/ToVjoR0cgjNenNR6ZinJiVI+rEKJo4qTu+xurxywQqQc3mq0alUrtAKmoT+qe\nPtk/Fq2kRfXkKZEHSm+ZtO5W+gdVSpg0tFGcJdWELnI89TnHjD5Q+hBV+8u3VP2HynmMp/apG6VH\nIVYMSJRqGas/U6qE0cONFZUxzndCIWnymkSbBUX2UxsQqVW2UTEX0TEQYyGKrEefo2bMKIKnmf94\nDwTeJya7T6H+ny+e8hhFH75qEmaiYypBX5tPDt7u49IAJ+b7ri6AcaMwvK6uUe8rpElNnpTA9c53\nD5K5WJjS2LNyZF+fotKJMXuxZTgZamwlvlDsrxC7lte3kHfJMnqq9wEiQsG5aAGN6zeSNq+QA+uE\nA2XpJaUMd/RqIhjaKraJ4zoT+fl3X+IHz34NEETQ291HYNjL5Xf8EIDffuIWcmen4x30saWiniXn\n5gEQ8Ad5c3MdFywskLElhWfnsPuNY5x1fj69bQOYLSN/l3e828KyVUV0twoy9/eK/czNzeKqT53D\n0c31lN98PgDHXqqkYlM9l15WQsY8cay+Y50YjAa8gz6SC1PpaxQ9cvEZ8by2dj8Xf3g2qWXTAKG2\nxaU6sMRbadrTgT1eXMuUnESGe9xkzc+XxKbfJYx+yq6dj9FsZu/anQDMOH8aAbdPqobRrqN//twf\nuP13Ist7sL4OUyRGxZGdK814Qv4gGUsX4elok26micUFhIMBeg824B/ykb5AOHTG5RdQ/dh6Sj+y\nVH4P1Q6nBR+aL79bynepa3ulNPNRCHx39TGcZ8+iY+sBAJKmpxPyB/C4BqXJinRZNZrY+kgFS24W\nPY87ntrF4psWRRw6R8xduquPkVY+A19vv3xduR6+HpcMmPf19uA97iLk82OyWwkMiWubctZcvK4u\nDEYj4XAYV6XoK02enU98wTR8vT3SnEoxnxqsO4bJYZf/ZwLuIUkElR5Ckz2OoGcYU6SaJ+gVxzPZ\n7Kihr806ITxz8T6dME953FM93mnIUpxQBuT7GVutREWToBg5fWO9r/492t11XMIUNc9oEq02cJGk\nR7WdYuACaN6PJk/SSCea4Kveh9gq5MiPMcxRInNR3HTlPBB/ZJU/sBrSpjovNanSXOMIWVYb02hI\nWNR5CpKu2l9xATaZNcqmkmGoLmVViH0oEIhpEgRadVgpmw0HAprvTHQpqnLME5HVyV50GtatP+Ux\npl175STMRMdUgr42TwyxyJs6527C40RyCMcjk9EGLsqNvlJ6CCPumdGmMtEZiTBCCNTxCSCqRRTy\n2XuwgeQSUTKn5PnZMzLHdMBUXm/ZdID8lXMJ+QNSIVScOZV5K2RSIZhqAmvPysHT0YZy+6k4oyZO\nz6bx7UNY4yzSxbRre6WMe6hdu0G6uioq4lBzp1QIw8EAx3fXUrBmBS98/a+svE0QIVOcnca3D0mV\nUTlfEKTX7LBqXFa7q4/hnF8sy0hdh9oBaKxxsfQT5+PtFmWOR96qpfSSUrr2tRDwBqRhzVBzJ0aL\niRf/sEuaxzgXLeDpex7n/ItnUHjlSnktB+uFSpexdBEvfP2vgDCVSS6bIz+Pru2VAJjjbAw0uii8\ncqU0q3GkJ2C0mDi6uZ5gIEh8siCdJVctJBwIcutNP+PZzb8GYMev1nHWjUvwdHZjNJukM68lySHN\nYDp3HhbXzGoiLjsF16F2GmtcLLtbfB7t7+wjdXYe1tRkhls6ADi84TBzr51P8ztHqKvppv34EABX\n3LIAb7+brPPm4qo6LL+Drfs7mbl6Fl37Wgj5xbqaNjMDa0o89ZuOkJqXJE1lgm4/qeUlWJJS6Nwi\niHhqeQmB4WGCbg/tO4/R1ymOlzk9lZTSXIw2i4z48HYPkViUiSM3RzzcNysVQKeXEE7Ftdl44k10\n6NChQ4cOHTp06NChQ8e/I3SFUIcOHRNXiGOZ2ESUPHVpqKL4RUOt0EHE5MVshXAIVEHvoYBPM5by\ns7JdOBTEqJS0Goxye6NK5TNaLHJbOV+/D5MjjnAoLPNADSYLQfcQRps9UuKqKIRWoaj6vBitNo2R\njvJzTEVznGs26U8hn5+Ep5DX6Arhfxr0tVmHjn8NovMJFUU1WvV1t7diMJkZamwdUYgjqqrRaiXk\nE2ueusQ4Y+kiqTx27TqCIz2BjKWLqH5MrBM5Z+XQtreNpro+8gqSZB/iYK+HnFlOEgudvPe8MMa5\nb+0z/PYTt9DYPIAz1U56tlBm//vXf+KjZ60gLy2RZ3bvAmBJwUxKstM40t7NkNdHabZQwmfPTGPT\n7iZ8wSA3XHMWAE88+x6rFxSRlh5HW8sASUnCCO57z77Ko9+8Bb83wNsbjrFksTivLz/2HN+9fg25\nJWl0twhTmYIFudgzk2nYdISiC0txt4vS4Lj8dDwdPQR9AdIXzxPXMRI7YXI4MJgs8n7AZLMTGBo8\nbRnBU3Ft1gnhvyveR2nohEozo/eN/toYDKJ+O1KnrYyrJgXKjbSmVA8IKyV9KkKgzvRTl+YpJi+a\nrDtG+vfU56KU8CllnZrSQaNBY8ZiMBhHehBVxiujyipBU0ap5PiNek9daqo6VzVG5dkp5xSd0ae+\nVgrpUlxAI9cnZv9fjP1jlriqykHl2Mrxo11N1eOrzznSD6mBqjRXvhRtujPedy/aKfVEzqljzDfm\nNqerJPsE0BcdHWcC9LX5XwN3eyv+vgEsyYnyRl5xy4yV+acOcFfg6eqEUJCQP6DpIUwum4O7vRVf\npJwx4BaGYvH5WSy76C7eeOp7gOgh7DrQTmt9H42tAyxbVSTm4XKT4HQw3OeRxiLvvlXPPyqr+PI1\nyzl4pFuWP4b8QVxHujDbzDTWiO/S+Z9ewf6/7yAYCHPnH5/gpx+7AYD5a0pp39PKtx9/lfs+fCEA\nQ0N+zv/0CrY+uon5a0r55Y9ek+e3ekERZ108U/b/JRemcvfX/srDv/g4PUePM+hyAyJbUCkbNdpE\nmWTnuwfpqu9l5upZbHyikku+cgkA9oxMDvz5FZJzE2UPYbTLqFJC6m5vpfr/tjProlmy1HagrpVt\n6w6y+rMXYDSbZcloYNhLxtJFDDc30Vixn9m3XgYIcta2tw2zxUTZ7ZfLz/nYG/spuWohvQcbsCYJ\nl2zlGHvX7mTG+WJuSu9o8oxMAm4vRzfXA1B+07mEw2ECg8OYE8S9VsumA8z82EUMNzfRVXmUzHNF\nv6kjO5fatRvobh2UhjkhfxCjxYRz0QLaKrZhinx//MNe2TuoEEqlbJaID4DyfXW3txIYHMbd3kPm\nssWA6DdUelMBTQ6hzZnB4LGjJMwQrq3dVdWkLSgfVeY8UFuLNTUZf18/lpRkDAalLcWEJSkFNfz9\nvaNeO1Xoa7NOCM9snOimNYZao37PYDJLl0m1u2M0CVB6rdSkIToEXQw5OvA85PcJFSbojxhzjJC6\naAIY8vvkNopjJQijmLFgMBq0hFBlFBPdvxUOhVFHD2iCx1WERU0kNb1sKpKl3lb2y6lNUZTzjOrJ\ni2leEosUjkFu1J/NhAnLBMjNhEn/mY5/EZGbLEz2otP4wkunPEbh1VdMwkx0TCXoa/Opoad6H6nl\n88Z8Xx3a7XV1MVAbcbbsGiAcDDPtmgv5+5f/AsDlX1iB19UnjV6SZ4ib5JrXaxgc8DJ/Tam80a76\n3YtkzU6nr7mPfpeHktWil9HjEsrJxnWHuPwzIlj8sR+9Qb4zkY01dSwpKiAzTRCIgSEfy68oYfNL\nR8hMj+O+tc8A8LWLr5FK0H//+k8A/PRjN/BWVT3nlebT1ePGbhVrSJzDwqy56RpCePY1c3n0xxv4\nyLXz+PMzlczMFH/rFi7MxmQy8ufn3+Ob3xdB2+89v5/comTiUh30tg2QMVNs+9vfbOKuu1dgdlip\n294kr2fZtfNlMH3pJeK6/vN/36GsVChRymuKqUxSUQbJZXOo+p0w9sianU5PQ6+GECr9mb5+N8kl\n+bIXcrilE49rEOf8Yo1JTOvWGuIz4jX9hhC7f1Mxb+k92EDKHHE8pW8TIOjxSoMZhdCpFcJYbq9q\nqM2N1PEaXleXvB8Za99Y845WJ08GatI3FaGvzf+uhFCdn6Z2CVRvotwgq27oI29EysOUkraAeFIR\nIT0K2ZAZZUE/sS6hyWrTqGPKdiarTSpV4UAAo9Umy91ghBwFPcOY4xMk6VHmK4lPBNHESHktmoTI\n66B2v4SxTTBiqYHjmcacDqMaHTr+zTDZi07T+pdPeYyCK9dMwkx0TCWczrVZ7QaowN/fi8FoxNfb\nh6+nHwBHXhYDRxqxOZNGjElMRvoONZNQmI4jN5vqv7wNQGKqneZjvVxw14foO1AHwJZ1B3HYzeRN\nS2Ltq/u547ZzAfifP2zm5kvL+WfFIXKSk3jlkHDRbB/oJDsxk1998XpqqoQZRnZuAv+sOETHQD/f\nvXcN218TMQM/em0dT3zlDp5YV4VrWBhv3LS8nORUO5/5/V94/udfpubdFnl+aelxOKcl03ygS75W\nWJ5FzbstZOUlytI8e7KdcDBMX+egJEE5q86jcf1GaTTSskk4P+aeX4q/f1CYiyhxDUYT3i4XNmcK\n9qwc6RyaWj5vFIlwt7cy3NKJc9ECTdxDOBzG09mNPTNNQxrUhjKxyMRYeYTRMRPvN4dwrOOdqZjI\n+f0rEW0I9EFiIsQy1t+HiSIwKP52mBOSTrDlaKidRmNBX5v1HEIdOnTomLrQH7jo0KFDhw4dZxam\n4Nr876kQ6oiNk1TsooPTFTt+8eLoKAZlHyVSYVTsgCpOQfyrzQ1Uflb645Rjw0j/WnTGXTgUlsqo\nUooqFFWTJqRcTjWSO2hQh4eqSlPV+YZKSW10P5xyTKUH0mAyyb7E6BJXeYjIuDJuwqANhA8HQ/L6\nqq+FupxX7G/Q9vFFGboo5zKqH1Fl/iJ7D6O+FzK2wmAcN79P/XnEfnOMnr9o9TlW9MUU/GM6EUz6\nU8iXXjnlMQquuHwSZqJjKkFfm0+MEykZnq5OAE25oJJDCONnEaoxWF8nS0YVIxGAkNcrlShF4bNn\n5Wh6CHsOiLgG59mzOPSPdyn98CLZQ6j0FBoMBtwdLtmr1rnzMJmLZzHU3EHH3jYyZov5ZyxdRN+B\ngwTcXlp2i/y9UCBMVXUH13xuKT//7kt86ZuXAnB0cz15Zem4ez3krSgDoOGNavLOm0nH7nqylxSz\n48kd4njHh1n90XnU72rhzj8+Ic/7u1d9hNVfWAXAtsc2y9d/v2E7N5+3iOzsBPlaQoqN9qZ+DtZ1\nc92tonz24JZGBof8nHftHNlvONznobammxnFqSQ4Hby3Xai4zlQ7c5YVEvIHqXyrHoDl/7WA957f\nz1tV9eQkJ3HVdeI8Ms4pwdPZjSPLyZ6nRHSGMz+JA7vbWf3ZC3C3d7PjhUMALLl6tiwfffcXz2Ew\nivV9yRevxd3eStDj5dgbwqQlY6aTrloXKTmJvPXSEW54cE3k8xefbeL0XKr/9i4ABfOzSJkzDV93\nH9a0ZKn2vfuL58iZ5SR1dh49h8S5pS+YgcFsIhwIYnLY5T3CkRd3U36H6EFTVMNwIEhcfgE91fvw\nuAZIKxclbBQ0AwAAIABJREFUx8p3VV0KrfysKMeDx4R6njCjWJasqpVnJUpE6RscD2PlecaKeRkL\ngcH+UUqhOofw/UJfm98HIdyxYwdGo5FzzjlnwoOPt+iE/H5CAR+BAVH7brLbMZjM+Hp6sKaKP8Ly\nJtdiAeWGH+EKGAr4MJrMIg8MZP+YwWzWBpZHoJRnil+0eXTqG9aQzytu7FXB5DGz6NTmFMoxlJvf\n6Fw5kORFk5WmZMWdqGRzjONpzDEm0m+o3u8EGMs1cUw3xVhfo9NwUz9pIeF6OauOfwEme9FpfvnV\nUx4jf81lkzATHVMJ463NvfsPcHx/K7veET1cyYk2cvIS+dTDj/O/H78ZgIamfo60dzM9I4W+YR/L\nlogsO0eilZdeO8xVV86ReXGeXjd97UPM+FApnVWNpM8RJWWBYfHgrvr1Iyz7vDD/8A/0E/YHsCQn\n4T3ePdKH132cd377JiWLcsheVg5A38FjJM4swGA04m7rxJ4lbjB9PX0kzpxJ34GDmOxWBhoEcctZ\ndR59Bw4CMNgszt+WHEf6uQupXbuBmR+7iMrfPA9A7txMcladp+kF9HR1YjAZ8XX3YkmMh8h9QWBo\niISi6QzU1sp8VFt6GsMtHaSWz9OMASN9Xso9Rs++o1iTHJgdtlGmMurcQQCMJnr2HcXuTJS5cSBu\nxtsqtmFNcsh+QwVKWamCkD9AfH6WzCOMdTyFQBhM5pi5h7HQ8voWQoEQBWtWxHw/OocQRspFB+tF\nGXBC0XTaKraRXJI/ZllmLCI+2ZiMnrr/VLwfUncmQV+bxyGEr7zyCj/5yU+w2WxcffXV7Ny5E6vV\nyoIFC7jzzjsnNLj+FPI/GO9D6QkHAyMq3FiKlIpkxwo4j2XiEg4FY/ZIagLhVeOoDXA0rp3qcaLO\nSdlPgTqGQJlLLDMbxU005PePUikVVVKOqTLSURNvOW7E2Ec5vnI9xTbquYZlj6zmnBWVM8YYyoOV\ncCCgiWFQwl1lyLvqAYxaZVX37obDodFGRaprG+3Yqly/6GujjDWuY+l4KuS/EPqio+NMgL42/+tx\nssQmlomJAnU/niR1kcB4hTwONXdgtJilEqQOao/uQ6xdu4EtFfVc87mltO1uYvpl8wGhNBktZkL+\ngAxv97gGCQVCOMunEwoEaHxbqGjTL5uP0WIh6PZId873nt/P6gduwFVZhXPRAkkIG98+ROGFs3G3\ndxOfL86xdWsNWyrqWbgwG89QQBrIDHf00rSng3nXL8LfL/o8k8vmMFBbiyU5ieaKaulIWlXdwe2/\n+xSejjaaNwrFLuANkFGWja/fzXNPVnHjXcLNdc/LNZz/6RW8+T9vUTxH/L3ud3lIy02gscbF4JAf\nU2RdXXL1bFreayXB6SDgDdDv8ohzXlqA0WLizi//hc9cJEx+lty6hGNv7Od4+xCNrQMsXJgtrttQ\ngPb2QVy9bm64X/wt7jvSzMEtjcxZVshTf9yJwyrWxU8+dC2HX6jEHmfBniyC1f/3sS18/dtX4Mhy\nsvGRzcxdmgdAfE4y7/x9H2ULs7HGif1ffO4Ac6anUXpuHgn5TrluDzR04WroxWo3k1Em5tV1oJ3Z\nt15G34GDVD5bzeoHbpDfK6PVirfLRdArxI3U8nkMHjuKf9CNv98t3UdBPMwZrGsmuXSGON/jLixJ\nidjS0idkRKN2FFX3EMZSCNUIeoYBMNnjTtg/CPraDOP0ED7++OO89NJLdHV1ceONN7JlyxZMJhM3\n3XTThAmhDh06dOg4jTgzeK4OHTp06NChQ8EUXJvHJIShUAiHw0FRURGf//znMSs2/aev5VDHGQKN\nG+l4qgtoy1ijy0vDIQwGk6b3ThNiLnNmzIRD/shYcmdgRElTR0iEwyEMGEepROp8QPF7GIMxMo4S\npTEyOeEUG1GkDAYjBktEcfN5RxQ2kzGilEWpkapzVfcoSmXNOHJu6uOr+wmjexKVeYQCPuE+q7jf\nqq65xrk2JCIx1K644WAgMj/Rx6iUMBmtNnkt1MdVVFmD2az5nA0ms/acVX2MsvRaff6q74a8/uGQ\n5vsRqw9RvmYwjCrzHnWdVD2P6tJspQ8zWl2U/Y3v1wF3CvUxatRlHTp0nFaM1fsU673xyg7VvYJj\nQe1mqah7PQfqSZ1XLJWumR+7CECTYaiUxVrTkhlu6ZRlmpqx23uxZ7ZS9+oeqR5lzBvEluHkyIu7\nSck5AkD+qnKoqI/0HzYx3CJUzZA/yLGtDZz1scWy39A5LYXOYz3Y0+LpOtRJ4YWzAeF22bllJ/2t\nfThnC/Xprap6zo6Usr71/WfILhhRegbq2rn723/jJ5+/GhA5hLf/7iLc7a18+zOPc3PEsdXqMLOz\nuo1510PXPtFPF3B7sSaP9B4u+NxVAHR//xne+v4zxMdbZJ+fkun34h9e5tLLStjzco3cz7XnKOnp\nDs01Sy5M5fe/fYnHn/oyFQ9vAhAq5nutdLcOEg6F6OgUqlT7uoMUFafwzMZfylD4HU/uYP6aUlLa\nRP7j6xuPAfDVv36Bru2VmONstG4Vc4jPiGf+mlJ8/W4+duN8Cq9cKT7/6n2UXLUQo9VKx1ahdH7m\n5nOJy8vEkZ3L5T/4L6kMA1x090qGmjtJKBLfw4+lJ2C0mPC4xGft6xa9l3mXLCMP7XfWaBGfjy3D\nycyzs+WYinrs7XLRsadZfp8yFs/BP+gmeU6RLFOOy8ui4dXdzLr50pELedxF5/YDZCyejTVVmyXo\ndXXh7+vXqIbqvEH/oFCCzQlJJ3QaVRRBdfj8B4mpuDaPWTL61FNP8fTTT/P8889jjPwHuvvuu5kz\nZw533XXXhAY/6bKUaLIRVR4oJ28YucFWbgZlOZvGREMby6CQnJDPK26mFXMTvw9TXHzsfDuxoyyr\nkz+rSvDU8RVGs1mU8gFGi5XA8BAmu30k84+RjDsNqYmURCrldbKXURU2rpyzYiwyqq9ujMDy8XoV\n1eYg4xmFREd4jEXK1HOPPVB4dBA6qr5RkznmPE7YwziGyc2Y20SPMQVIgI6pi8kuS2l57bUTb3QC\n5F166Yk30vFvhfHW5qDXg8lmH/26Z5jA0BAgTCg8HW2YHOKm2XtcjBcY8hAKBnFkp1P3qoh7mHnt\nUgxGA3Xrd5C1oABvt7ipM1pMdNcKE5aAX6y5PZ1DJKba+dofX+CPP7yd7a/UAvD7zZt46td30rCz\niYwicYNoMBpoPtBFfLKNmoMuyuaJvqWOlgHyZ6Swp7Kdax64ki2/2aA5j0UfKee5X28B4PqvrmLV\nh+/j6QdE1VPWwiIAdv6tkjnLConPTZP3A8MdvSQUZOB19XP8cCdFly0Uc953lNR5xfj7+mncdBiA\nBGccWUtL6dx5mJSSbGwZ4v/9YF0zg829GEwGeZMPyNJJNVEcONpEYnEBh9ftkOYgSq+jcuMe3Vuo\n9CKCyOQrvHKl3Ma1R5iCuBp6mXX1IuxZOQzW18n7EYV8uiqrJMmbde0S2SP51vefkWWDO361jvKb\nziXkD8j91D2ESgkogNfVhyXBQVJpqYbY5qwSJZru9lZ6DwpznMTp2TGjLfqONJMyZ5qm5zFWDMaJ\noMn6i/x8suMAZ1yf4URyCE9XzIevx4U1dXLXtw8S+tp8AlOZnp4eUlNHXLbq6uqYPn3i/3H+U/sU\nTmsI+BhOnhrEIDWKciSNbtS9aArpijLIkUpMDEKuCU9XBd5H93xpnCoj+yg9ZxolKTKGJvDd5wWD\nUfa0ifMISuMgjdKlUqnUrp/KPkaLVePaGfL7ZB+cnG7EoVPdS6i+RmqFUN2np1EIQ2GtUqW6NgaD\nUTqgqt0/NaZG6muj/pwjvyt/7KXzaLTZ0PtQvSb0PT0JtWzSv/9TSLE7ESZ90Xn99VMeI++SSyZh\nJjqmEqbq2jyeQhcNacii6tVrq9gmiYh6vOi+vPH69KKhuJEO1NaSOFO4NnZu2UlSST5DzR1YEhxy\nLTInxI30jkfW3a2PVEg1yD/kwzcs/sZ3tw5Kt0pPZzcARrOJ4Y5e+pr7cJZkkDhd3Nj3HKgHwD/k\nk8H2ikIYn5+Fa89RBjoEEfd5AjinpWB3JmhcRq1JcdRtrCWtIIn4nGSxbb+bg1saKT03D6PFJEPW\nv/2Zx7lwbhGr7lxB7SuC+FdWtlE+L5Ptu1t5fOcb8vo899A9hINh/N4Am98SRHFaXhK5Rcmsf+0w\nn/jSCn75I3HzfNfdK/jid9byw7u0gdzZS4rp3tdI1ZYmyiK9d401LhISbSz54rW0VQg30JQ503jl\n/21gRnEqjQ19XP3jWwChQr5VVc/9D98mSVxP9T7smWnUvbqHjNmZ/OAHIkj8K59diclqYqBjkKz5\nwiwpMOxl7aM7WLWiiIzZmdJZtHbtBjLm5WFJSmDv2p3MOF9cn4yli3BVVmFzJuN1ib5JhfArJjpK\nML3aZTTkF/coCgFWTH2UPk+jxSzNgFyVVXJcBWpCCKLXE0bIvvJAAUZ/x2MRxROZ66hzME8W/v5e\nQNz7TPT/9umAvja/D5fRk8FUXXQmjOgbVVWMgLrMMVql0xALxSRFeTsUHIkzUBMTVTmeWlmLJinq\ncQEtgWCkBHPEeGWkNDIUISsme5wm3kBNfMKhIOFAQJKpcDCkMT3RkL6I+jnWfNVuq8q1iVYLFYKl\njkqQ241lHKL6SquNSjQlpdHq8xiqaMzXx1ISx3OLHW8fNWKQu1gmOBN2jT1ZVXQCDxl0vH9M9qLT\n+sYbJ97oBMi9+OJJmImOqYQPYm329YpytJMNofYP9GFJTNa8Nm7JphL5YDDg6+4l5PPjyMnE3SYI\noTUtmW2Pbeb8z67C9Z5Q8tLPmS3HGzx2VFr5JxVlEPT5MTtsUiHs2tdCX+cQ0xYX8O7zByldkAVA\n2qxMvD1DJBRk0L1fKGvTrrmQlte3EPQFKbxyJU0vixLDuKwkgm4/nt5hXnxOBNDPmZ5GenY8m7c1\ncdV1ZZIQvvbqEeZMT2Pm2dk89Js3Afjlk3dz6B/v0tLUT0ZmPF2dQrG94kc301axjaf+uJObPykM\nPQ5uaWT+mlK2P7ufBRdOIy5bKKuv/XEnC87JIaMsmz0v17D0E+cDgoSAIFXPPyQI2sprZ9PT0IvR\nZCB/ealU0nb8ah1dnUMaQuiclsK7rx/jsi+uou9IM4nTsyOfSx8JRXkaUxmPa4DG99oo/y9huKKo\nyanTUshZdR5d2yulqcy+f1RSdu18EoqmC6dSmyBSWx+pYOknzpdmOABDja04Fy3A09VJyOuV2/bs\nO0rOqvPwdLRJ0uXt7sOemUbvwQaSS/IxmMV9mkKK1O6sgWEv8fmZ9B1pxuywSiLevHE/+avKhZo7\nPZeBupFyTaPFhM2ZLIlf0OPVKJEKoVPiQIwWs4Z8uSqriC/M1Zj8KK9bkxPw9QmCrxBNJXYi2uFT\nXXo83NyEwWwaUyGciLuqQhxP1k30VILpY+FE5jIThb42j9ND+Mwzz4y50w033HBaJqNDhw4dOnTo\n0KFDhw4dOj44jKkQPvTQQ1RUVHD11VePeu/uu++e0OD/9gqhDh0wZs9rzO3GU+PGUeEUlTCm6swE\nezdjBMWH/H5t+WkEQZ9X00ck+24j5jjKU3NFvTWYzFJh1mSBhsPS2AaVEq4o32qFOto0R3NekZ+N\nZuuo+A11j69/UOSaWhKTVYqwQf5stFhH4jRUKnko4MNktWlLalUKfcjvE7EbELOMWqPgjqPe6k8h\ndZwJ0NdmHf8KnEzvXbTCNVY+YSwoBjumODsDde3krDpPE7MBohfR3d4ty0DVc1UiNdQlkdF5ikpu\nYs+BBlLLpsntFCWucf1GAGrfa2f1AzfIwHpFOQwHggw1d+Lrd8v9jTYbWx+pYNFHykkum0PX9koA\nzHE2vvPN5/jpE3cS8gmPipZNB8hbUcYbv3qLpVeWsq9CmNWcd8dy9j69gyVfvJb/d8uvAbj26jIa\na1yUnpuHu9fDkWqhrKal2Rka8uN2ByiYLlR594CP48fdLLx4Bl21LuIiMRe73mli4ZJcdmxrpq5L\nlHvuaKrlh5+4Aue0FALuAO5+Eb8R9IfwDPvxugN84YmnAPj79+7mvXeaaese4uw5mfT3i/uGuefl\n098+SPb8XIY7+vEOivOr2HCUa25biDnBhiVBGMW0vXsU5+wsTFYLRzfWMn2ZUF7j8rIxJ4j8U3+f\nUKMd2bn4elyYHI6I0Z5QiKVZTWS9tiZPbrnq6V6bw+Ew3/nOd6ipqcFqtfLDH/6QgoKR/xvr16/n\niSeewGw2M2vWLL7zne+c8HhjKoTf+MY3OHbsGCtWrKC8vPz9nYUOHf/OiCZ20T+PVQY6Vq/fBPLy\nNO6aMeYiy46NBk2/6EhWoShjNmDUlBGry3XVBk2yPFhtyKTMPSzyDJVxw6EgRpAOxEaDkTChEVKo\n5BtGSothpG/VYFT1nzJCFA0mM0GvR5DQgFgYzPY4gj5vZEyVe6lSXm02a9zEwqEgRpMZDEZ5niG/\nL+LKGpJl1KCQ7TAGIyrTJpMgswYjBlOUg2mkr1NmLqqdZz/I8top6GSmQ8d/Ck6XgcdUxUSIoGJ0\noxA2NQE8ERlUyiktyUnYMzKl8yqI0Pue6n0EhgUBUUpGB+raSS7Jj9mTpxDBru2VZCxdpDHhAUEO\nlRJX5/xiWY4al1+Aq7KKoMcr+zGXzCuk+rH15C3Mp2Nvm8x03PCbjVx090rM3X1s+I0gjytvWySd\nPV2VVWxbJ4jtJV/6EF/57EoGjjSy4f9EmW2cw8JwnyBgbtcQu2s6xOQe28xvX3+HrwFNvYK4JRem\n0vlOE+63G1h48QwKZwhSlHtOIe89v5/0dAclVwmzJE9nN/OznLI/NS5VGEhd841LeeX/beDshTk8\n84ddADzxyF1sX1uNc1oKDme8JIQZszJoqmqldHUxf0r5bzHHPi9HWruZkZ1K5rRk8iMut6+tO8TV\nt51Nz9HjZC0sYqBOnEfZTCe9Dd0k5ibR/p4oa07IiMdV00lacTqZM7Tlp77uHkx2G/4+5eHwINZU\nJ0HPsOb+QJpnna71+jSvzRs2bMDn8/H000+zZ88eHnroIR5++GEAvF4vv/71r1m/fj1Wq5WvfOUr\nVFRUsGrVqnHHHNf3+Kc//SnDw8Oa13w+H1ar9RRPRce/Jd6vAjbZZiGn4hKqNn8ZI/BcrcIBo11c\nFUQTv7CW9AAYUJnnqPo1xb8m2YMpx5CTifwTUa+iewsV4qe47Y4oY5ZRRDUUCMjYCfXxpeuuSiGT\nfaSyX9QkX1eIk0FRzcKCCAa9HoxYJRkLet0YTIJohkb63uUxjRbLSA+qzyuVS7M5Tm5jstml0qkm\nbgaTEYPRhMk6cl1HmfsARAwdjKoYDYPRhNFikL2lpgn0jBoMppHr+i+E4YMknzp06PjAMR6pnKji\n1lO9L6bxR7TJjgKFHMUX5hIYGsLssBNwezSqVnTPG6Ax1lGjv6aGpNJS+bva2XOs81OUvKHmTjKW\nLqJx/UbSF8yQfYH2jExpkqKYynTVuqit6ea8K0rIWaU1BRqsr8OR5ZR9fqnl83BVVpE4PZvWrTUy\nfoPKKowWM44sJy99U6haGZnx1G1vomB+FjtfO8qsuUJNMtvMxGc0M9Q1hK/fTeVb9QBkZydQvLyI\ngbp2acTzzHdf5oYH1/Dbr/6DNReV0LVLRHso0RDmOBtNnYLE1G2spWBJAcMdvfiHfGRnCyKjOMV2\n13ZJV93N25ooKk7hvGvnULulnktWigD4A/u6+PgFS/h7xX4KUgTx62vs4fyLZ3DXj57mSw4z81aJ\nbb9531pWlk7nyL5uhobE4ux2B0hPd7BrXwdXXVdGUrEgqL/96j+44b8WYEty8MQjInGgY08zl//g\nv+ip3oe/383f14tIjOsuncO0xQUkziigJE98Hia7g6/dfjmerk6MZpOMkrj1/LnUrtvBtAtLsaQk\nkxS595ibnYIlJYH4gmko3zYlrN7T2U76uSORGAoC7iGSSkf6G2MF08dyUp5MnO61ubKykuXLlwMw\nf/589u0b6Xm1Wq08/fTTkqsFAgFsNlvMcdQYs2T0rbfe4vvf/z5ms5kvfelLrFmzBoDbbruNJ554\nYkITVpelRJe6KY6Uyu8BzzCEwoSDAUwOIfkGPcPipjYQEBfXNPrm2xi5eQt63OJmzh5HyOvGaHPI\n44yYcihlblbhMmmyjJSKAbEiKoyRm2qpFKhu2hVDmBHVQ+UOGblpVZ/zuKYj0RhPUToBkRozmkGH\nDh3/Ukx2yWhbxZunPEbOqg9Nwkx0TCWo1+aAWxiTmKw2wqEwvt4egsPD2JxpADS9sYu+9iG6jw+z\n4AqRLbf5mWoSE6y8squWVEccH1oibnobmvoZ9gQomZ6C1SbW5m889QIz0/L45t0X8de/7uaWW4QC\nsevtBrbUNLCsdBrGyLp6/tWzeevv+zhrfhYH93dx7ocEaXA4E+iu7WKgx0NiqriRyzm3mO79zbQc\nduHxBCguj5i8zM3H6+rHkuig4Z2jZMwU/+esSQ7iC3PxdrkYbBbnn37ObMLBEN4uF46cTI1t/mB9\nHZbEBPkwTHFkVEiPUo6YXDYHT1cnBpMRb5cYV01+1OYbjes3klKSLSIYVO6nsaAYqESbipwMJmIW\ncibgZCIgdOiYDEy1tfn+++/n0ksvlaRw9erVbNiwQcYEKnjyySfZvHkzjz766AmPN6ZC+Mgjj7Bu\n3TpCoRD33HMPXq+XD3/4w+jB9Dp06NChQ4cOHTp06NDxwSMhIYGhSC4sQCgU0pDBcDjMT3/6Uxoa\nGvjNb34zoTHHVAhvvvlmnnpKyOWDg4N8/OMf59577+Xhhx8+KYVQhw4dUw/qKJMTZRzKklhVKa2m\nBFcxtTEYo3YPxey7VMpflfeCPi+EwpgcDq0ybzRoSmblfGEk80tlDiPOZWQOSo+i0WwlHPRry4AN\nRvm+7Mf0ekZdAkOkdNRoMhMKBmQ5SnRJ8WQ/hWx/+61THiP7wtXjvn/dddeRkCBKlvLz8/nsZz/L\n17/+dYxGIyUlJTz44IOnPAcdHyz0tVnHmYKT7bN8P2riYL3IPzydAfTqSItYvY7KfBVTmei5qPdX\nlGElh1C9jT0rB2/3cWqe3Q5Azlk5JBTljIqCcLe3yozDtr3i37hkOzM/dhGejjZ6DtSTVi7Ke4db\nOhhodJFY6ByZg8XMcHsv7l4Pw30e0otEr17AG2DX2w0su3YO3XXi78i9v3ueGWk53PeF1SROy+Dg\nS6JkNLs4jfjsJAxmIy27Rf+f2WLCPehj7g3n0VxRTVKu6LF84Yn3yMtMIG9aEvY4C2+8KcxxMpId\nLDgnhwN7Opl3jvgcBl1u0gqS6KzrxdU1LI1wduxoJcsZR2vXINPzxWtJKXaSM+JIyksm5A+SOk9c\nd3tm9sg9BlNvbX799depqKjgoYceoqqqiocfflijAt5///3Y7Xbuv//+CR9vTEJ43333kZqayj33\n3ENcXBxtbW188pOfpL+/ny1btkxocH3R0XFa8T56BsfKGTzhmLFyBNXEJkbQ+6g+xKi8QwWxtlX6\n+sQGERLj82K02rTOmhESJXr4RgiYOg9SIUwwkvUYXeI8qtdRfSlCYTkX9flqzkFxFzUYNc326v7E\nsDyeSfZHymzIYEAeW0M6xyiV1rikTqScOmKWE93rpzbMMar6CsPhUJSRTkiem7yekdfE/AUBNdkc\nI06skc9APSfluzfVFh2fz8eNN97Ic889J1/73Oc+xyc/+UnOOeccHnzwQZYvX85FF110yvPQ8cFB\nX5t1jAd3u+izG4uoKU6bYxGltoptMofQZLdhtFiwOTMkwQq4PZIQVT+2nhkXz9XsryZLirOoq7IK\nR5ZTki2l/7FreyWJxeK1ocZW6rc1MHP1LI2hzIE/v0LhhbPpO9wy4uRpMTPU3IHNmYzRbJZ5igAF\n5xbRsadZE0y/bd1BFl9arMkhfODTf+L7f7iDgaNNmONsuA61A9DdOsjggDCvmb9GlA+/+IddrL6i\nhPicZF78wy7sVrGOnXOBmLtzdjab/0/0bi6+tFg6e1rjLLTXikzPJKcdnyeA3xuk6DxxHj1Hj5Na\nnI4jy0lX5VH6OkVPXslVC/n2Zx5n+ZxpXPBR0T8a8gfZ+0YtZ18zF49rgKo3BVGeXppGRlk2tRuP\nce6XrwPg0JOvkpiVgLvXQ2pxOokzxDwHjjVhTU7Ampos13Z3h4uQP4Bz0QK8ri6GW4QhTFxeVsT0\nzkDQK66HIzsXb/dxPO1ddO1rYebHxNrh7T4O4TCD9S24DnUw6+ZLAVFm7ZxfhNfVx1CrMMcJh8J4\n+r0kZieSUjaNgVqRH+rtc5NY6CTo8+PuEv2Y6QtLCAwOYU1NwT84iEndSxcOY88U39PJdhk93Wuz\n2mUURDLE/v37cbvdzJ07l+uvv55Fi4RzrsFg4LbbbjvhOj0mIQwEArzwwgtcfvnlOByiH+/48eP8\n/ve/51vf+taETkZfdHTomCI4FUOe97N/DMKmkLyYpD1qXNl7rNpOIXdq0hcOBrSRFhGoozOiybDB\naCLodUuyZzAYRL9xIEAo4BvVJB4OBOQiZ7LZCHq9BD1ejXmQJSFBEOHI3OKyCk98jd4H2jdVnPIY\n2SvGdh6rrq7mvvvuIy8vj2AwyJe+9CW+8IUvsHGjcMN788032bp1Kw888MApz0PHBwd9bdbxnwp1\n7MRE1cn3G3ehRjS5jnXM8Qi2q7JK43z6fuY43NwkTXnU23g62sBo0qiProiZjj1T9A57OrsZbu/F\nefYsDq/bQfkdV2rm319TgzVFBMLbs3JwVVbRdaCd2bdeJol//5Fmehu6KVpzjuzPbavYRuv+Tkwm\nIwVLCjBZxdroyMuidt0OGTsRlyXGDrr9xE/L5I3/3cSsOWIMnydI6YcX0Xuggeq360nPFIYxjgQr\njiQbR/Z0sL/uOADTs1PY39jFP/dv4aLixezvbATgU8vPZ2apk9KPLQMgLndye1dP99p8OjAmIZwM\n6IvLFvepAAAgAElEQVSOjjERg0CMp6xNNOtPTSo05jrhsMbYKFrhiyYJyhhKuaGGqKhLJNWRD2PM\nbcTUaMRoSCE1arVNyceLVuI0DqcK5DmFtXEORoMgQhEVS33Osmwysq3JZiccCgr75YihhDKGMh81\nyVLHVWjOQ1H9zFFkLjJHGWcRcfaMPhd1BIScr/IZqkniGMpszNy/sbYdD+rPhxhmUCdyxZ0AKZ50\nhfA0LzqHDx9mz549fPSjH6W+vp477rgDr9fLpk2bANi+fTvPPfccP/3pT095Hjo+OOhr86lhqpi0\nuNtbMRgM485VIUhGmw17RqaGgHi6OrFnZNLy+hbyLlkmyc1gfRsZSxcx3Nwks/ri87PoqjxCwZoV\nskQTRhTCPU++Q/lN5wJw7JUqchYWSKfPPS8LlWPOskJ6GnrJmJ0pScwLX/8rM2c7CfiDeIYClN98\nPgBPf/sFykrTmXf9Iuk8OtTYqsmwy5iXJ+YQySFMLSuS18LT0UbnzsOkzSvE3d6N+7hQ1nrbBph1\n9SLqXx9RDA/vP07ZwmziM+LJWXUeh558FQBnSQZ9jT10tw6S5LRjjhgpKQrhnGWFHNzSqLneu2s6\nSE+M470mcS1nZWawuDyHJKedbz36MgBPPXc/ne8e5M4f/Y0ffeJK6o8KZWzW3HSpEJZdvxgQjq/b\nH9/K4JCfCz+xmN4j7fI8cs7KYe2jO7jxLuEkG/IHMVpMxOdn4XX1cuDlAwDMvqQUe2Ya3dXHCPrE\nGmyymqh6u4Fltywk4Pbi7Rb9aqlnTcdotdK+eR/TrrkQEC62IX8Ao8VMXF6WVA59vf2RyiADCTOK\nI9+dOjwdPVgSHThyMqVjeSgQiNxPGAmHw/IBrDXVyVBTA15Xn8whVJxsPZ3t2DOz5ffSkizKRM2O\neIKe4cj3Lw5fj0tjGBULU21tPh2YQA2dDh06dOg4E3G6ra2LioqYNm2a/DklJYUDBw7I94eGhkhK\nSjqtc9ChQ4cOHTqmEqZiJJSuEEZjvKf8sZQIRhtvxFRAFHMLRQFCmGQYzWZCft/IsCbLaAMMRL2w\n8rNawQkFfMLIwufF5IiTrxuMBhmtMTK2UeTTRZlqxMqaC3iGMTvipSqkbKeoWOpzIxwSPW6qa6Go\nS2oFTM5NHc/B+P19ynvyGpvMGvVHk+13gh7B6OgTHTo+aEz2U8iOLRtPeYysZSvHfO/pp5+mpqaG\nBx98kI6ODm6//XYKCgr41Kc+xZIlS3jwwQdZunQpl19++SnPQ8cHh9O1Niv5YCfaBtBs5+sVPVIG\no2HM/ZW4B2X/UCCALS0dX48Ld1unXJdsGeL/WDgYorvqCPF5ogTOmpZM78EGsa9frAVDXUMUXnI2\nWx+pYP6aUqzJwjzpiR+9wXW3LuDpx3fhGhJKw+oFRZQsEurSj369gdVlQvFwptpJS48jLsmKLUGs\ng61HXHz+L09x4/wLeXrP2/zzJ18E4EhlG8XlWdzzs3/wnUiPVFV1B6uvKOHRx7eT4nBw0QWidK2x\noY+yhdkM93loqusDYNktC7n5U//DP/75IK//8k2yIqVyzvwkabRhiRfZYwe3NLK7poO7f/5R7Fk5\nUtVqre9j9QM3UP3Yeo63D5GQKOasKFrWJIdUCGvXbiB7STEJRdMZrK/T5BA2Vuxn9q2XUf3YegDK\n77iSppc34R30EZ8RL5Wx9Ox4Sq87d1QPodlhl671da8KNa7s9tF/R9SlkCdbuvlBx1mcSonpfwoU\n9Xks+HrE36gTKXuTham2Np8O6IRQx5mBExFxdelodE9ZBLIsUwlWV/WQKb1joDIRURHWcDCIwWSS\neZOqA4iSBlVpqBIarxButfGK2uhFPa+gz4vJZh8h2OEQRot1ZD/VuUpiHinXVELmQ36/zMwMRoi9\nQtIVcxP5AEAxQ4kRzq4u4VQboChmKkqJq7oEVO0OqpTKAhrH0JiEezKekqlKNUeVFU90iDPkYcBk\nLzqd72w65TEyL1gx5nuBQIBvfvObtLS0YDAYuPfee0lJSeH+++/H7/dTXFzMD37wgyn5NPQ/Gfra\n/J+F91viqpTgGUxmevYdJbWsSGMEoxCeru2VsrSzp3ofqeXz5HsH/vwKAAnpcWSdV0b/kUZcR7oA\n+Ou6PVx1QQk5s5xknFPCM98VpZLXf+1D/Pgra/nBs19jx6/WAfD3iv1cfs5Mdtd04LBauGCxMHp5\n6Om3+MqHV5KWmyBLQyufraa3z8vuujZykpO45asXAtCyo572pn7i4y0YItb8SU47GWXZXHr799i1\n9zmevudxAJpdA3zyPmHmMdwuHj64ez10tw5yoOY4acl2LvmSyId74NN/4stfXM3d3/4bf/jtp/nU\nXcLlcXXJHJafV8Du3e2s2yuMYq49awGFuYnsrumg1+3mW7+9FRC9hV3bKzHH2aSpzMrbFlH5bDVz\nlhXiH/JRtUWU9e6p6+CCefksvmkRvj5R4qqYyoT8QYY7BjCYxN/i+Jxk+eBDcRnNOSsHo8WE0WLG\nkZMpCZmno02WaSqUwJGdG/N7o/QQqs1jHFlOhpo7RkqNVe6s3u7j2NK0hi3e7uOEgyHsGZn07hWO\npClnzZUuqdH7KA+aAoP9AJgTxq9KCbiHMEfyzNVQu4pGY6qtzacDOiHU8e+LcXq+1H19sbbR9BsG\nAxoHTKlaRo0hVcsoJ0w1mYomY0pfnZxTxAVUHaWgnoOG7EZIZdDn1cx95NhRpDMGWVXIpFpJDgV8\nmGx2jSOp0WIh4B6KkFDTKBdNhcTKOahcTdVxFOFgaJTJCyCdStX7jXI+Vanv0SYy8nNRzv1EPYbq\n/U6GZJ6kCY++6Og4E6CvzTpOBSdSwKIVOa+ri6Dbo3EItTsTSS2fJ2MYQLiLHvjzKxRdNI+h5k4A\nMpYukupkOBCk74iIL0icns2BdXuYvrRAuoweXreD6atmM9jURXJJPv5+QZpadtSTOi1FxA5EXEa9\n3X0MNLqwxFsxO6zsfaMWEK6gtRuPMeuiWTiyxN/r5o37SS5M5X9+toGrl5eSVybISmrZNFq31pBc\nmIrrSBdvVojeyXpXN1//9hVcevv3uGCaIEnvNFTx1dVXAfDPqmoe/sXHAUHoulsHCYdCkqym5SbQ\nWOPirap65uVnEucQa933XnqO5x66h9TZeez8WyUASz9xPisuv4dpKfl89ZqV5M0eIVLttT20tw+S\nEC/2Hxzys2BZASariYR8J71HBKEzO8zUvNtC6bl5socwc/EsAF78yes4U+3SLRUgYXo+3i4XQa94\nEK0QQo9rkN7mfoqvOBsAQ+T+xlVZQ+pZ4vtgsjukEVxgYACDRTx4NsfHQzgsCeFgnfick0qKsCSl\n4OvtwWgW67SaEAYG+zW/e7uPY3I4JCEMDA1iMBkx2eN0QngC6IRQx78PTnSTfiJTEEZImUZRihE7\noZi+KIYqgMzMUyto4WBoJBZiDJKiJkziHxUpREWaAoGRmAN7nHTcVMdDhPw+jFabjFFQyKKiiqJS\nI8PBEBgNQnVUZQeqjWAUGM3mUcqrMvexzGSir7XGWEdl3qNET6jJtYytUJG1cCg4QsSjlMlY7qTK\ncWIZAqnJpfJ5xyw5HiN25GSVT33R0XEmQF+bdYyFiTpvKuqRVBPHMK9xt7fi7xsgqXSEUAzW12lK\nRpVSXiWqQr2mxOUXMFhfR/e+RhzpCfQ1ivLi+Ix4kkvyGWru1MROWJMT6NhdT3JhKi3vibnNvHwe\nA3Xt9DX3SeOXmqoOCqYnkzHTSXJJPoYI2Rhu6cQYISkdeyLZeZF94jPi2fnaUWbNFaTLWZKBNSmO\njU9U8krVYX7+hzsAaN1aw3Cfh92727nqU+cAcOeX/8IzG3/J0/c8zsprZ/Pjn78BwOdvO5+v/e8L\nZMansLNln+baPf3AnVjjLKQvmAEIEvvaH3dSUpLGkSPdAHzopnLa9rbhGQoQn2Rl7x5B8rYdbeLm\ni8oBsMeL+ccl2xnu82C1m0nOT8YUOc+kknxJ6FwNQhUtv+NKDj35Ksn5yaTMmUZw2A3Ajqd2sfim\nRXTvbyZperq8TrNvvYyW17eQOC1DEsX+uuNkL5+HwWCQpZ+KqUxvQzczP3aRLAH3dB4nHAxiz0yn\n/3AD9gxhEDPc2k1qeckohVD5nqq/rycqQx0P+tqsm8ro0KFDx9SFUS/V1KFDhw4dOs4oTMG1WVcI\ndUxdjKXUTKAMVNlO6d/TmNxEKVDKWBpFSR1poIqh0JSSwigVUVMuGVGmpOIWDmEwmzWB6XLeUWWZ\nBpORcCAg+h6jAuSV6xJtuqOUmRqUbSNxD7EUyuhIjVERGxGoy1vVge5Gi2WU2qrMQW2spFwrWWYb\nI6dQ8xnEMCBSH2dU/2J0ZETkGmlKV1XHVO+v/rzVvytlt+MqimNgsp9Cdm3fcspjZCxdNgkz0TGV\noK/NOiYbno42/ANDJM6cKUPjo9FTLRQwS1I8CUXTpbqomMoUXjibhKLpdG2vlEpgcmEqjuw0THYb\nLZsOyH7B4Y5ezA4r8fmZsozUmuSQwfSWpARZMlr5bDVLbl2iCaZvrNhPRlk2L/5hF0NeP1ddVybn\nmVjopGNPM31dwlDoHxsP8pmbz2VLRb2mh7B5o+h/O7C7HZPRQOmCLAB+/9S73HrlfI1C2LG3jYA/\nSEpOIpZ4K1214v+gZyjAzuo24qxmlq+OGArVuJi/ppSeo8cZ7vMQl2wHRHh907v15JbnYjCLdeno\n5nqyZ6biSE/AlpqAf1AoeXteriEh0SbLT0GUjF78xdV0Vx/TlIy6+z1U7Wpj+RUl2J3CWKnrQDtZ\n8/PxuAY0CqEpziFzCNUlo93Vx0grn4HBbMbmzACgc8tOHNmpDNR1yJLRoMeLJSkRT3sXjpxM/IPi\nMwp5/bjbe2g/2EFueS6+fnE8s8OKNTmOuIJcWTI6WNeE0WbBmpJEOBTC3S4yB709QyQUZODIy5F9\n7Sa7MF5SoieCXo943WbXfDf1tVknhDp0TB5ONdw91ngwLumVJEiVp6iQMYUwwog7q7oUVXk9HAxE\nHG8j/YZBP0aLlXAwSCio9DxahYFNUCGPkV6/SHZjKBCQhMlotmIwGQl6PZjtcSPlpyqDHoU8yrmo\nwuFhhGiqXW2jCaOGsCm5jDFyBJXyWXHZQjH7GJVt1P2fipmP5rNgxCRI06MZmae85lGEViGPk77o\nvPvOKY+Rce4FkzATHVMJ+tqsY7IQHbx+JiC6dLCtYhuJ07PHdBqN1RMZbaii3kYhtqnl8zTvdW2v\nHDnm3jYyZjpJmSMI6A/vepIfPPs1Gtdv5N6freNbtwhSOfPy+Qw1d3Jsa4OmhzBvRRktmw5w4/cf\n5ttXXAfAK1WH+dxHlnC8fYj71j4DwLevuI6i4hSeXL+H1WdNp29AtImcf/EM2mt7+Mmzb9HQKwjz\nJxZfzFXXlXHdN/6HN5/5ocwhPFTbzaJFOTinpVDzbgsAuUWiZDM5P5muWhczPjQHECWjJYty6G8f\nJCVf9O455xcTGBrGP+gmtXweLa8LMpQ4LQNbhhN/bx+hgFivA8Me4gtzCQdDHF63g+LLzgLA3eri\nyOY6Zq0qJhwIkTRLXLf6l3eRt2I2XlcfaQtECWzV715kxodKMVrM0lwHIC4vm66dhxjudpO3bFbk\nc+whviCL/qMtJM8qkGtz0OvFZLXKz1hfm3VCqEPHhKFRGN9vv2L09hPYPzrEPta4Ib9/JIweNORJ\niTlRHy/aPEWtPqrJmVrtA0ESw+EwJqttlLmNJEIq5VEhjwbTiDpqstq0iiiiVyTodcu4FamkKhEr\nJqNGMVXOKRwISFIq+yPREky1s6yCUaY1KqhJoZyDqqdRY6SD1jBHrXKOcr5VQV90dJwJ0NfmqY/T\nEW1wMj1YEyWEE5nvWPEQyuuxxhhubpIKYcqcaRzfXUvBmhUMNzfJwHq1m+ZAnZhv4vRc7Fk5tFVs\nG9VD6Fy0ICYhDAUCuNu7pXrVcuA4S754LSBIoi0tWW6//fGtmnlmFySRkB4nXVVXX1ECCOOXtNwE\n8lfOJeSPPIC12eh89yC+YT+73mlixvRUAPLK0tn80hFKStLo6xFKl0IMH/7kbcy+fA71m44AcLx9\niMJSJ79/6l0+f4dQmqq2NFFUnEJlZRvLV09n+ybRu3nFp8+l6d163AM+hobEmnn2NXP55n1r+cw1\nizGaDbQ0iP69vgEvC5fkkjItjbodwv10/s3n0bxxP44UO9WbGklLE+rbgo8vp+HV3XiG/f+fvTcN\njKO6s75/vW+SWvsuWbJly5JXLLyxGZudQCDsIYGEkGWW952QyQyZhCRPEmaGSSaTSWYIbxIeEhKy\nAEkIhNVA7BiMV2Rs492Sta+t1q7el/fD7bqq6m5JNhZgQ50vtlpVt25Vt/rWqfP/n0PZCuEOazAZ\nyV2+lE33P0FlbR5Wp6iEchZkEgtHcZbmYsl2S4XPYDLR89o+chdXEk+QSnthPhGfD4PRyOixDhzF\n4voYzCaMFgsmu43wmCCKZqeDeCSKNTeHqN8v7wks7myNm7rVrXVCPV2cjWuzTgh1CJyMuvVOFDDV\nPulKKYEp4wQ0ZiNJ46ndJgFZtqi+IVcTNzU5UggLTCo3yrEUlUptqiLjKVTkTikNFdNPOIiGQ1KR\n05jKqEiNJmMyQYIkmVM5i6pLRJX9pTkNCdMVdXyG6nqkc/FUSi01JJFUwiKvhXJt1A6qiWurIVMq\npVIzZrqcTmU8tbp3Gu6e6SJHJjebLEHVuL4mjwWaz987jbU4Wcw2IRzYvW3mjWZA/srzZmEmOs4m\n6GvzO0c6G/1pt09Y6cPUhi3+3m4MJrOGjCmEZqK9W9r5Q3rSNnLoMO76upTxNYYbiSiAeDyOo7gU\nb+NebHluenc1A1C+fin2gkL2P/ycvHnPa1jOoUdflPmACvl7+/FdlNXnk1M/R6OamZ12+va0EvKF\n2ZVQmlasKKa4roiMqmKGDgkC4l5QRnh0AnthLtsffp3iCqE07drZRWVpJhmZNhbfJOIsDvyhkYxs\nG5FwlJIlJdINdNPeVr72o9s58IdGKpaJUk1Pk1e6jE54JmR56ef/9md84dI1lFa5pUGMt3OUkgV5\n/OwXO1g1v4yqeSL/8pu/fImv3rABd4FTlowajEZySzMI+cKMDweJx8R6ruQ/hoJR5m+okbERH/2P\nT7Lp/idYdccqBg+IPMZNzx+XJHB8wEf1lcvktVx8UwObH3pNlpy6Clxk182RFTzKe3jksZcIBSLU\n3rhGunAONQ9INbFwWQUWd6b4/HT1EwtHadnRIU1lSpaUyJgQgLZn/grAnOsuxtu4F1d5Ef27jwHC\nZdReVELA0088GsGUINfRYBCj1SrW1sR9kr2ohPETzWTMFdmcikJocdpw11cTHh7B5HQkPkMDuCpL\nCfR6iPiDZM2vArS5okHvEJk1NQAMv32Q7CWLGNy7n6wasa3iKhqZGMfsyjjpOIrpoK/NYJx5Ex06\ndOjQoUOHDh06dOjQ8UGErhCeqZghQw+YzKdTKS9y3zQ9VWI4lSFKYnyZzaIuj1MZhSiqlmJekhJJ\nYLHIHDl5nISaFYtEJqMODEZNSd6kuhSffF31mhKurpl/omdNUbuUsY0Wq+wPk5bVqmun3tZgNhOP\nRGT/l3JN47G4vA7qc5TnEg7J/ZPz9eS1Terpmyr+IDnbUPO+TYc0uXxTKlqnqOieUknsO8G7MeZZ\nhll/Cvnm9tMeI//cVPMHHR9sfNDW5pMpdTzZOAU1gl6PrNRQxh9raiLiC+AoET+rS9lHDokcOndd\nFS0vNDLnsqWayAVv414yqsoYb+2SZYdDbcNk5Dtxzy1k5EQ/7rliXEtWBsee3UvtxxoI9IuIgbY3\nWsjIc+DIttO4qVXGHwTGw1Svq+HFn+6gMN8p57/2cxfy+Leep37B5PeOI9NKxeoqNj6ymz/t3c9F\n80Sv1Sf/6WJ8fcOEJ0IM94wBEIvEKVooQs+V3jKAF99s4uJFVURjcZlxV7u6jJ0vn+DKe9bz5L9t\n5MVDwnDloR98iqg/zO9//ia333Nh4txcMnZi+8Ov89NXdwDwf+66nG//4mUe/O4n5bFadnTw59eP\nct+P72C8tUejEH70wlqq11Tw1ydFT9/qDVUYjAaC4yEGu8elcghweGs751y3SJZ1KjmETW/1suau\n82TJ6PFn91CxukpmEAKMtXTLPESj2awpWw14+okFgwQHR4j4RP9ewZoG2p/bQuU16+R2SpYiiJgN\ntemOr7MDo8UsS0aTy2KbnnwVgJpbLsXbuFejGKuhVqNnQsDTL+/tfF19sh9yphLgmf6OTmUOZxL0\ntVknhGcu3qOb56kIRUppoGpO6QLAU8Lb0zh1xuOxyRJHFdHUlD+qyFwsFBRllUrPGEgXTiVMXZ3V\npxBZ2bNms2t67NQlo4lJTpqjqOairiuPhoKTP6cJplcTUOU8IBG0jiCqUzlmJpP+5LJV9XUTm6Ve\nT+WhgHLTMlXoqjx+0vsp8/fSfd6Svxqm+jxO0x+p+XzphFBfdHScEfgwrs3T3cimI5Sh4SGs2Tkp\n24w1NZFZU0PAI4LT1fsFvR6AlBLR4KBwQYyFQprMtOT91Wh68lVqbrlUbJso98RoYuhAswx1V14P\neoexFeRx7OldzDlflO1Zc904iks58thLFC0rlwSnf/cxMivziIUjhEb9THgmANj40nFuuGM5W54+\nQv1iMf/Xt3ew/qIq/vjiIc5fXE7NOSIn8Iav/ohvX3sjtcuLePrPwpjk43eu4NePvsnv336NKxes\nZsPyKkAEvffu62ZiNMTG7aI89UvfvYGDT72FI9PKoQMelibG3bWzi6Z+L8FIhAsTZizFxRmMjwV5\nZudRFhQW8Ml/uhiAS269j29+5AbWXl+XNph+98Zm1t0pyiP/9L9vcNNXLsHssPONz/8cgK/dfx32\nwlyigSD+3kGMFrFO5TUsTzGN2fXDp6Vb55LLajA7BbHzHunFVeDC7LBidtokIRxpH6Lsonq2P/y6\nfD9X3bFK9keqyaGjuBTPjkZNKefIocO0vdHMgutXMdHeLd87hSiONTVJM5VYOCr3DXo9mr758dYe\nXOWFcj/PjkYyqkpwFJdqnGCH9h+QnyeFEsz08ORkid+pllhPh9koDZ0K+tqsE0Id7xfeRQVqxv60\nZDUVTsr8Rfmi1ZCuNKRJTZiT+9dkP51iQmIwapVHlRmMQoKNVpvW8RKkwin7FlU9i0CK8Yri8Kk2\nj1GrnmKTSQdRo9ksTWEm5x4Fg1HTE6mMrVZyk0PspftoQn1NjslQu4QqZF5NwDVQk1j1ezCDkn6m\nYLYXHW/jjtMeI69hzSzMRMfZhA/D2nyyBimnYqSiELupbnCTCeFUUJPTqYxU1HNTiJ9icpJseKI+\nh2SimbyvGsnHDnj6U3oW00FRtJLHHGtqwmS3aSpsTHabVEmV3jL3gjLMDrvcf7xVKKtjLb1kVhdj\nNJuZ6BTnoRAaRRlTzm/oQDPu+aLX8dizonev9mMNRMZ9WNxZjDV3YM0Saqmvb5iS9Ws58thL5M0X\n701o1E/Z5RdI1a/pRRF9UbainIB3HGdxNk8/JG7qL9xQTel5tfz7F3/Lp29t4PVNYr63fv1Knv/B\nJs5ZU4Yj284Pf7wFgHu/eiW/fPANVtQWSRL9s1/sYHF5IeddNpd//s+n+VjCMbOxtZub1y8iHotJ\nl9Hay2t5+N9fYU6hm7b+ER7f91cArqs/n+surWWgd4L8Ypd4zyYivPZmOwvKc1lzTS2bfj8Zbt/Y\n2s2FdXPw+cW9ixJib7WbCYyHOXBQXMv1H63F2zaMfyxEzbq5YtzENXCUFDLR3s1Qs/js58zLJ6O6\nPG0PYecbx6m+ukG+Hhoeleq4GgM79xD2BclbvkAG1gcHByAef9/URX1t/qARwulIxjQ3jelMS5J/\nnrI0L824yduqjTzUKo/6Zniqm1eFQGhNOlR5b2azuKk3GCeJiipeIMWwJMlRMh6NCqKhNuRI3MSb\nrLYUd0XFTVL5g8dglIRAY24yTUaeYtufXNoZj8YmFTbFNVIxVFG5ZypKWrITpmL+olEv1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E6euxV4+xtDCXvn2dXPaJbwLwym++A0DAO0Z23Rx2/UlEVNhsJnjhKPOWFrGnWZCr/Fcd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\nUwsb9WLlWTwPy4XzMJ9vRHReho/bLc/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Dk81MNjPZzGQzk81MNksREoUwPDwc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\nQmCC\n",

       "text": [

        "<matplotlib.figure.Figure at 0x3fb6f588>"

       ]

      }

     ],

     "prompt_number": 34

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(dr3)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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0JQEAAHoSYQnQQZrrO6IvCQAA0DPoWQIAAABQICwBAAAAKBCWAAAAABQISwAA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\n",

       "text": [

        "<matplotlib.figure.Figure at 0x3fbfef98>"

       ]

      }

     ],

     "prompt_number": 35

    },

    {

     "cell_type": "markdown",

     "metadata": {},

     "source": [

      "Como sucede en el an\u00e1lisis respecto a la fase 1, la diversidad de rango se conserva una forma parab\u00f3lica, adem\u00e1s que existen estaciones que tuvieron muy pocas repeticiones en los diferentes rangos.\n",

      "\n",

      "Puede verse que algunas estaciones fueron desplazadas  de los primeros lugares, dando lugar a otras. La estaci\u00f3n 1 y 27 siguen ocupando un lugar en las estaciones con menores repeticiones."

     ]

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "# add a flag indicating the day of the week\n",

      "dr3['day_week'] = dr3.index.dayofweek"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 36

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "monday = dr3[dr3['day_week'] == 0].iloc[:,:-1]\n",

      "tuesday = dr3[dr3['day_week'] == 1].iloc[:,:-1]\n",

      "wednesday = dr3[dr3['day_week'] == 2].iloc[:,:-1]\n",

      "thursday = dr3[dr3['day_week'] == 3].iloc[:,:-1]\n",

      "friday = dr3[dr3['day_week'] == 4].iloc[:,:-1]\n",

      "satuday = dr3[dr3['day_week'] == 5].iloc[:,:-1]\n",

      "sunday = dr3[dr3['day_week'] == 6].iloc[:,:-1]"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [],

     "prompt_number": 37

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(monday,'Diversity rank during phase 3 for mondays')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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nu32hDjoYY6ioqICtrS3+/PNPmJubo7q6WrC9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\n6MX/AbHErhUOgv8JAAAAAElFTkSuQmCC\n",

       "text": [

        "<matplotlib.figure.Figure at 0x3fbe9ba8>"

       ]

      }

     ],

     "prompt_number": 38

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(monday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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ejo7aXve1++61Pfe/dm1T6v3pHei57GQnO219c9nJTnayk522/Z0Gei472ano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\nEAgEAsFryf8DFDtAdj4GrUYAAAAASUVORK5CYII=\n",

       "text": [

        "<matplotlib.figure.Figure at 0x6a9fafd0>"

       ]

      }

     ],

     "prompt_number": 39

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(tuesday,'Diversity rank during phase 3 for tuesdays')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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1TKWsR2d1bOxlNvfSz/R6fa2XO+Pkrf/gbLseW/K6z150c+654QvdHrdixapN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\n",

       "text": [

        "<matplotlib.figure.Figure at 0x37793a20>"

       ]

      }

     ],

     "prompt_number": 40

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_rank_rep(tuesday)"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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GInfddVfGjRuXq6++On/4wx9y1FFH5YwzzsjJJ5+ck046aQuNCAAAAFB9FUOR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\nXBSRSCQSiUQikUgkEolE8kDy/5gyMs5qdc/xAAAAAElFTkSuQmCC\n",

       "text": [

        "<matplotlib.figure.Figure at 0x3716cb38>"

       ]

      }

     ],

     "prompt_number": 41

    },

    {

     "cell_type": "code",

     "collapsed": false,

     "input": [

      "plot_dr(wednesday,'Diversity rank during phase 3 for wednesdays')"

     ],

     "language": "python",

     "metadata": {},

     "outputs": [

      {

       "metadata": {},

       "output_type": "display_data",

       "png": 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