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 "metadata": {
  "name": "",
  "signature": "sha256:fa12c158c16516e7281c949ef7501a0885075e0258b21bb506d63a07afc9e123"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## \u2605\u64cd\u4f5c\u65b9\u6cd5\uff1a\n",
      "\u4e0a\u304b\u3089\u9806\u306b\u81ea\u5206\u3067\u5b9f\u884c\u3057\u305f\u3044\u5834\u5408\u306f\u3001\n",
      "1. \u30e1\u30cb\u30e5\u30fc\u304b\u3089 Cell -> All Output -> Clear \u3068\u3059\u308b\n",
      "2. \u4e0a\u304b\u3089\u9806\u306b\u30b3\u30fc\u30c9\u90e8\u5206\u3092\u30af\u30ea\u30c3\u30af\u3057\u3066\u3001\u30e1\u30cb\u30e5\u30fc\u306e\u5b9f\u884c\u30dc\u30bf\u30f3(\u53f3\u5411\u304d\u4e09\u89d2\u30dc\u30bf\u30f3\uff09\u3092\u62bc\u3057\u3066\u3044\u304f\n",
      "\n",
      "\u9006\u306b\u5168\u90e8\u8a08\u7b97\u3055\u308c\u305f\u72b6\u614b\u306e\u30ce\u30fc\u30c8\u30d6\u30c3\u30af\u3092\u5f97\u305f\u3044\u5834\u5408\u306f\u3001\n",
      "1. \u30e1\u30cb\u30e5\u30fc\u304b\u3089 Cell -> Run All \u3068\u3059\u308b\n",
      "\n",
      "\u3067\u3059\u3002\n",
      "\n",
      "# scikit-learn\u3092\u4f7f\u3063\u305f\u7dda\u5f62\u56de\u5e30\n",
      "\n",
      "\u307e\u305a ipython \u5185\u90e8\u3067 matplotlib \u3092\u4f7f\u3048\u308b\u8a2d\u5b9a\u3092\u884c\u3044\u3001\n",
      "\n",
      "* \u8272\u3005\u591a\u7528\u3059\u308b [numpy](http://www.numpy.org)\n",
      "* plot \u306b\u4f7f\u7528\u3059\u308b [matplotlib](http://matplotlib.org)\n",
      "* \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u6271\u3046\u305f\u3081\u306e [pandas](http://pandas.pydata.org)\n",
      "* [scikit-learn](http://scikit-learn.org/stable/) \u306e\u30c7\u30fc\u30bf\u3092\u6271\u3046\u305f\u3081\u306e [datasets](http://scikit-learn.org/stable/datasets/)\n",
      "\n",
      "\u3092 import \u3057\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%matplotlib inline\n",
      "import numpy as np\n",
      "import matplotlib.pyplot as plt\n",
      "import pandas as pd\n",
      "from sklearn import datasets"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## sklearn.datasets \u306e\u4f7f\u3044\u65b9\n",
      "\n",
      "\u6b21\u306b\u30b5\u30f3\u30d7\u30eb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e Boston \u3092\u30ed\u30fc\u30c9\u3057\u307e\u3059\u3002\n",
      "\n",
      "\u3053\u308c\u306f http://archive.ics.uci.edu/ml/datasets/Housing \u3067\u516c\u958b\u3055\u308c\u3066\u3044\u308b\u30dc\u30b9\u30c8\u30f3\u90ca\u5916\u306e\u5bb6\u306e\u4fa1\u683c\u306e\u30c7\u30fc\u30bf\u3067\u3059\u3002\n",
      "[UC Irvine Machine Learning Repository](http://archive.ics.uci.edu/ml) (by Bache, K. & Lichman, M. (2013)) \u3067\u306f\u6a5f\u68b0\u5b66\u7fd2\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6bd4\u8f03\u7528\u3084\u5b66\u7fd2\u7528\u306b\u4fbf\u5229\u306a\u6a19\u6e96\u30c7\u30fc\u30bf\u3092\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002\n",
      "\n",
      "\u305d\u3057\u3066\u3001\u672c\u6587\u66f8\u306e\u3088\u3046\u306a\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u4f5c\u6210\u6642\u306b\u4fbf\u5229\u306a\u3088\u3046\u306b\u3001scikit-learn \u30e9\u30a4\u30d6\u30e9\u30ea\u3067\u306f\u3053\u306e\u30c7\u30fc\u30bf\u3092\u624b\u8efd\u306b\u5229\u7528\u3067\u304d\u308b\u3088\u3046\u306b\u3001\u5229\u7528\u3057\u3084\u3059\u3044\u5f62\u3067\u4e88\u3081\u7528\u610f\u3057\u3066\u3044\u307e\u3059\u3002\n",
      "\n",
      "DESCR \u5c5e\u6027\u306b\u30c7\u30fc\u30bf\u306e\u8aac\u660e\u6587\u5b57\u5217\u304c\u5165\u3063\u3066\u3044\u307e\u3059\u3002\n",
      "DESCR \u306e\u8aac\u660e\u3092\u8aad\u3080\u3068\u3001target \u306b\u76ee\u7684\u5909\u6570(\u5bb6\u306e\u4fa1\u683c\u306e\u4e2d\u592e\u5024)\u304c\u3001data \u306b\u306f\u4e0a\u8a18\u306e\u7d20\u6027\u30c7\u30fc\u30bf\u306e\u6570\u5024\u304c\u5165\u3063\u3066\u3044\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "boston = datasets.load_boston()\n",
      "print boston.DESCR"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Boston House Prices dataset\n",
        "\n",
        "Notes\n",
        "------\n",
        "Data Set Characteristics:  \n",
        "\n",
        "    :Number of Instances: 506 \n",
        "\n",
        "    :Number of Attributes: 13 numeric/categorical predictive\n",
        "    \n",
        "    :Median Value (attribute 14) is usually the target\n",
        "\n",
        "    :Attribute Information (in order):\n",
        "        - CRIM     per capita crime rate by town\n",
        "        - ZN       proportion of residential land zoned for lots over 25,000 sq.ft.\n",
        "        - INDUS    proportion of non-retail business acres per town\n",
        "        - CHAS     Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)\n",
        "        - NOX      nitric oxides concentration (parts per 10 million)\n",
        "        - RM       average number of rooms per dwelling\n",
        "        - AGE      proportion of owner-occupied units built prior to 1940\n",
        "        - DIS      weighted distances to five Boston employment centres\n",
        "        - RAD      index of accessibility to radial highways\n",
        "        - TAX      full-value property-tax rate per $10,000\n",
        "        - PTRATIO  pupil-teacher ratio by town\n",
        "        - B        1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town\n",
        "        - LSTAT    % lower status of the population\n",
        "        - MEDV     Median value of owner-occupied homes in $1000's\n",
        "\n",
        "    :Missing Attribute Values: None\n",
        "\n",
        "    :Creator: Harrison, D. and Rubinfeld, D.L.\n",
        "\n",
        "This is a copy of UCI ML housing dataset.\n",
        "http://archive.ics.uci.edu/ml/datasets/Housing\n",
        "\n",
        "\n",
        "This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University.\n",
        "\n",
        "The Boston house-price data of Harrison, D. and Rubinfeld, D.L. 'Hedonic\n",
        "prices and the demand for clean air', J. Environ. Economics & Management,\n",
        "vol.5, 81-102, 1978.   Used in Belsley, Kuh & Welsch, 'Regression diagnostics\n",
        "...', Wiley, 1980.   N.B. Various transformations are used in the table on\n",
        "pages 244-261 of the latter.\n",
        "\n",
        "The Boston house-price data has been used in many machine learning papers that address regression\n",
        "problems.   \n",
        "     \n",
        "**References**\n",
        "\n",
        "   - Belsley, Kuh & Welsch, 'Regression diagnostics: Identifying Influential Data and Sources of Collinearity', Wiley, 1980. 244-261.\n",
        "   - Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning. In Proceedings on the Tenth International Conference of Machine Learning, 236-243, University of Massachusetts, Amherst. Morgan Kaufmann.\n",
        "   - many more! (see http://archive.ics.uci.edu/ml/datasets/Housing)\n",
        "\n"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u30c7\u30fc\u30bf\u306b\u542b\u307e\u308c\u308b\u9805\u76ee\u306f keys() \u3067\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002keys() \u306f\u30c7\u30a3\u30af\u30b7\u30e7\u30ca\u30ea\u306e\u30ad\u30fc\u5168\u4f53\u3092\u30ea\u30b9\u30c8\u3068\u3057\u3066\u53d6\u5f97\u3059\u308b\u30e1\u30bd\u30c3\u30c9\u3067\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "boston.keys()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 3,
       "text": [
        "['data', 'feature_names', 'DESCR', 'target']"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u30c7\u30fc\u30bf\u306e\u6570\u306a\u3069\u3092\u8abf\u3079\u308b\u306b\u306f data.shape() \u3092\u7528\u3044\u307e\u3059\u3002\u8fd4\u308a\u5024\u306f (\u30b5\u30f3\u30d7\u30eb\u6570, \u6b21\u5143\u6570) \u3067\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "boston.data.shape"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 4,
       "text": [
        "(506, 13)"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "13\u500b\u306e\u9805\u76ee\u540d\u306f feature_names \u3067\u78ba\u8a8d\u3067\u304d\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "boston.feature_names"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": [
        "array(['CRIM', 'ZN', 'INDUS', 'CHAS', 'NOX', 'RM', 'AGE', 'DIS', 'RAD',\n",
        "       'TAX', 'PTRATIO', 'B', 'LSTAT'], \n",
        "      dtype='|S7')"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## pandas \u306e\u4f7f\u3044\u65b9\n",
      "\n",
      "\u30c7\u30fc\u30bf\u3092 DataFrame \u3068\u547c\u3070\u308c\u308b\u6a19\u6e96\u7684\u306a\u5f62\u5f0f\u306b\u5909\u63db\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u5168\u90e8\u8868\u793a\u3059\u308b\u306e\u306f\u5927\u5909\u306a\u306e\u3067\u5148\u982d\u3060\u3051\u8868\u793a\u3057\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df = pd.DataFrame(boston.data)\n",
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>0</th>\n",
        "      <th>1</th>\n",
        "      <th>2</th>\n",
        "      <th>3</th>\n",
        "      <th>4</th>\n",
        "      <th>5</th>\n",
        "      <th>6</th>\n",
        "      <th>7</th>\n",
        "      <th>8</th>\n",
        "      <th>9</th>\n",
        "      <th>10</th>\n",
        "      <th>11</th>\n",
        "      <th>12</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 0.00632</td>\n",
        "      <td> 18</td>\n",
        "      <td> 2.31</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.538</td>\n",
        "      <td> 6.575</td>\n",
        "      <td> 65.2</td>\n",
        "      <td> 4.0900</td>\n",
        "      <td> 1</td>\n",
        "      <td> 296</td>\n",
        "      <td> 15.3</td>\n",
        "      <td> 396.90</td>\n",
        "      <td> 4.98</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 0.02731</td>\n",
        "      <td>  0</td>\n",
        "      <td> 7.07</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.469</td>\n",
        "      <td> 6.421</td>\n",
        "      <td> 78.9</td>\n",
        "      <td> 4.9671</td>\n",
        "      <td> 2</td>\n",
        "      <td> 242</td>\n",
        "      <td> 17.8</td>\n",
        "      <td> 396.90</td>\n",
        "      <td> 9.14</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 0.02729</td>\n",
        "      <td>  0</td>\n",
        "      <td> 7.07</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.469</td>\n",
        "      <td> 7.185</td>\n",
        "      <td> 61.1</td>\n",
        "      <td> 4.9671</td>\n",
        "      <td> 2</td>\n",
        "      <td> 242</td>\n",
        "      <td> 17.8</td>\n",
        "      <td> 392.83</td>\n",
        "      <td> 4.03</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 0.03237</td>\n",
        "      <td>  0</td>\n",
        "      <td> 2.18</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.458</td>\n",
        "      <td> 6.998</td>\n",
        "      <td> 45.8</td>\n",
        "      <td> 6.0622</td>\n",
        "      <td> 3</td>\n",
        "      <td> 222</td>\n",
        "      <td> 18.7</td>\n",
        "      <td> 394.63</td>\n",
        "      <td> 2.94</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 0.06905</td>\n",
        "      <td>  0</td>\n",
        "      <td> 2.18</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.458</td>\n",
        "      <td> 7.147</td>\n",
        "      <td> 54.2</td>\n",
        "      <td> 6.0622</td>\n",
        "      <td> 3</td>\n",
        "      <td> 222</td>\n",
        "      <td> 18.7</td>\n",
        "      <td> 396.90</td>\n",
        "      <td> 5.33</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 6,
       "text": [
        "        0   1     2   3      4      5     6       7   8    9     10      11  \\\n",
        "0  0.00632  18  2.31   0  0.538  6.575  65.2  4.0900   1  296  15.3  396.90   \n",
        "1  0.02731   0  7.07   0  0.469  6.421  78.9  4.9671   2  242  17.8  396.90   \n",
        "2  0.02729   0  7.07   0  0.469  7.185  61.1  4.9671   2  242  17.8  392.83   \n",
        "3  0.03237   0  2.18   0  0.458  6.998  45.8  6.0622   3  222  18.7  394.63   \n",
        "4  0.06905   0  2.18   0  0.458  7.147  54.2  6.0622   3  222  18.7  396.90   \n",
        "\n",
        "     12  \n",
        "0  4.98  \n",
        "1  9.14  \n",
        "2  4.03  \n",
        "3  2.94  \n",
        "4  5.33  "
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u30c7\u30fc\u30bf\u306b\u9805\u76ee\u540d\u3092\u3064\u3051\u3066\u3001target \u3068\u306a\u308b\u4fa1\u683c\u3082 MEDV \u3068\u3044\u3046\u540d\u524d\u3092\u3064\u3051\u3066\u8868\u306b\u8ffd\u52a0\u3057\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.columns = boston.feature_names\n",
      "df['MEDV'] = boston.target\n",
      "df.head()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>CRIM</th>\n",
        "      <th>ZN</th>\n",
        "      <th>INDUS</th>\n",
        "      <th>CHAS</th>\n",
        "      <th>NOX</th>\n",
        "      <th>RM</th>\n",
        "      <th>AGE</th>\n",
        "      <th>DIS</th>\n",
        "      <th>RAD</th>\n",
        "      <th>TAX</th>\n",
        "      <th>PTRATIO</th>\n",
        "      <th>B</th>\n",
        "      <th>LSTAT</th>\n",
        "      <th>MEDV</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td> 0.00632</td>\n",
        "      <td> 18</td>\n",
        "      <td> 2.31</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.538</td>\n",
        "      <td> 6.575</td>\n",
        "      <td> 65.2</td>\n",
        "      <td> 4.0900</td>\n",
        "      <td> 1</td>\n",
        "      <td> 296</td>\n",
        "      <td> 15.3</td>\n",
        "      <td> 396.90</td>\n",
        "      <td> 4.98</td>\n",
        "      <td> 24.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td> 0.02731</td>\n",
        "      <td>  0</td>\n",
        "      <td> 7.07</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.469</td>\n",
        "      <td> 6.421</td>\n",
        "      <td> 78.9</td>\n",
        "      <td> 4.9671</td>\n",
        "      <td> 2</td>\n",
        "      <td> 242</td>\n",
        "      <td> 17.8</td>\n",
        "      <td> 396.90</td>\n",
        "      <td> 9.14</td>\n",
        "      <td> 21.6</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td> 0.02729</td>\n",
        "      <td>  0</td>\n",
        "      <td> 7.07</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.469</td>\n",
        "      <td> 7.185</td>\n",
        "      <td> 61.1</td>\n",
        "      <td> 4.9671</td>\n",
        "      <td> 2</td>\n",
        "      <td> 242</td>\n",
        "      <td> 17.8</td>\n",
        "      <td> 392.83</td>\n",
        "      <td> 4.03</td>\n",
        "      <td> 34.7</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td> 0.03237</td>\n",
        "      <td>  0</td>\n",
        "      <td> 2.18</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.458</td>\n",
        "      <td> 6.998</td>\n",
        "      <td> 45.8</td>\n",
        "      <td> 6.0622</td>\n",
        "      <td> 3</td>\n",
        "      <td> 222</td>\n",
        "      <td> 18.7</td>\n",
        "      <td> 394.63</td>\n",
        "      <td> 2.94</td>\n",
        "      <td> 33.4</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td> 0.06905</td>\n",
        "      <td>  0</td>\n",
        "      <td> 2.18</td>\n",
        "      <td> 0</td>\n",
        "      <td> 0.458</td>\n",
        "      <td> 7.147</td>\n",
        "      <td> 54.2</td>\n",
        "      <td> 6.0622</td>\n",
        "      <td> 3</td>\n",
        "      <td> 222</td>\n",
        "      <td> 18.7</td>\n",
        "      <td> 396.90</td>\n",
        "      <td> 5.33</td>\n",
        "      <td> 36.2</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 7,
       "text": [
        "      CRIM  ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD  TAX  PTRATIO  \\\n",
        "0  0.00632  18   2.31     0  0.538  6.575  65.2  4.0900    1  296     15.3   \n",
        "1  0.02731   0   7.07     0  0.469  6.421  78.9  4.9671    2  242     17.8   \n",
        "2  0.02729   0   7.07     0  0.469  7.185  61.1  4.9671    2  242     17.8   \n",
        "3  0.03237   0   2.18     0  0.458  6.998  45.8  6.0622    3  222     18.7   \n",
        "4  0.06905   0   2.18     0  0.458  7.147  54.2  6.0622    3  222     18.7   \n",
        "\n",
        "        B  LSTAT  MEDV  \n",
        "0  396.90   4.98  24.0  \n",
        "1  396.90   9.14  21.6  \n",
        "2  392.83   4.03  34.7  \n",
        "3  394.63   2.94  33.4  \n",
        "4  396.90   5.33  36.2  "
       ]
      }
     ],
     "prompt_number": 7
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u7c21\u5358\u306a\u96c6\u8a08\u5024\u306f describe() \u3067\u8a08\u7b97\u3057\u3066\u304f\u308c\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.describe()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>CRIM</th>\n",
        "      <th>ZN</th>\n",
        "      <th>INDUS</th>\n",
        "      <th>CHAS</th>\n",
        "      <th>NOX</th>\n",
        "      <th>RM</th>\n",
        "      <th>AGE</th>\n",
        "      <th>DIS</th>\n",
        "      <th>RAD</th>\n",
        "      <th>TAX</th>\n",
        "      <th>PTRATIO</th>\n",
        "      <th>B</th>\n",
        "      <th>LSTAT</th>\n",
        "      <th>MEDV</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>count</th>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "      <td> 506.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mean</th>\n",
        "      <td>   3.593761</td>\n",
        "      <td>  11.363636</td>\n",
        "      <td>  11.136779</td>\n",
        "      <td>   0.069170</td>\n",
        "      <td>   0.554695</td>\n",
        "      <td>   6.284634</td>\n",
        "      <td>  68.574901</td>\n",
        "      <td>   3.795043</td>\n",
        "      <td>   9.549407</td>\n",
        "      <td> 408.237154</td>\n",
        "      <td>  18.455534</td>\n",
        "      <td> 356.674032</td>\n",
        "      <td>  12.653063</td>\n",
        "      <td>  22.532806</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>std</th>\n",
        "      <td>   8.596783</td>\n",
        "      <td>  23.322453</td>\n",
        "      <td>   6.860353</td>\n",
        "      <td>   0.253994</td>\n",
        "      <td>   0.115878</td>\n",
        "      <td>   0.702617</td>\n",
        "      <td>  28.148861</td>\n",
        "      <td>   2.105710</td>\n",
        "      <td>   8.707259</td>\n",
        "      <td> 168.537116</td>\n",
        "      <td>   2.164946</td>\n",
        "      <td>  91.294864</td>\n",
        "      <td>   7.141062</td>\n",
        "      <td>   9.197104</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>min</th>\n",
        "      <td>   0.006320</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>   0.460000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>   0.385000</td>\n",
        "      <td>   3.561000</td>\n",
        "      <td>   2.900000</td>\n",
        "      <td>   1.129600</td>\n",
        "      <td>   1.000000</td>\n",
        "      <td> 187.000000</td>\n",
        "      <td>  12.600000</td>\n",
        "      <td>   0.320000</td>\n",
        "      <td>   1.730000</td>\n",
        "      <td>   5.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>25%</th>\n",
        "      <td>   0.082045</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>   5.190000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>   0.449000</td>\n",
        "      <td>   5.885500</td>\n",
        "      <td>  45.025000</td>\n",
        "      <td>   2.100175</td>\n",
        "      <td>   4.000000</td>\n",
        "      <td> 279.000000</td>\n",
        "      <td>  17.400000</td>\n",
        "      <td> 375.377500</td>\n",
        "      <td>   6.950000</td>\n",
        "      <td>  17.025000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>50%</th>\n",
        "      <td>   0.256510</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>   9.690000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>   0.538000</td>\n",
        "      <td>   6.208500</td>\n",
        "      <td>  77.500000</td>\n",
        "      <td>   3.207450</td>\n",
        "      <td>   5.000000</td>\n",
        "      <td> 330.000000</td>\n",
        "      <td>  19.050000</td>\n",
        "      <td> 391.440000</td>\n",
        "      <td>  11.360000</td>\n",
        "      <td>  21.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>75%</th>\n",
        "      <td>   3.647423</td>\n",
        "      <td>  12.500000</td>\n",
        "      <td>  18.100000</td>\n",
        "      <td>   0.000000</td>\n",
        "      <td>   0.624000</td>\n",
        "      <td>   6.623500</td>\n",
        "      <td>  94.075000</td>\n",
        "      <td>   5.188425</td>\n",
        "      <td>  24.000000</td>\n",
        "      <td> 666.000000</td>\n",
        "      <td>  20.200000</td>\n",
        "      <td> 396.225000</td>\n",
        "      <td>  16.955000</td>\n",
        "      <td>  25.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max</th>\n",
        "      <td>  88.976200</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  27.740000</td>\n",
        "      <td>   1.000000</td>\n",
        "      <td>   0.871000</td>\n",
        "      <td>   8.780000</td>\n",
        "      <td> 100.000000</td>\n",
        "      <td>  12.126500</td>\n",
        "      <td>  24.000000</td>\n",
        "      <td> 711.000000</td>\n",
        "      <td>  22.000000</td>\n",
        "      <td> 396.900000</td>\n",
        "      <td>  37.970000</td>\n",
        "      <td>  50.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 8,
       "text": [
        "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
        "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
        "mean     3.593761   11.363636   11.136779    0.069170    0.554695    6.284634   \n",
        "std      8.596783   23.322453    6.860353    0.253994    0.115878    0.702617   \n",
        "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
        "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.885500   \n",
        "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208500   \n",
        "75%      3.647423   12.500000   18.100000    0.000000    0.624000    6.623500   \n",
        "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
        "\n",
        "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
        "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
        "mean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \n",
        "std     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \n",
        "min      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n",
        "25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n",
        "50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n",
        "75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \n",
        "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
        "\n",
        "            LSTAT        MEDV  \n",
        "count  506.000000  506.000000  \n",
        "mean    12.653063   22.532806  \n",
        "std      7.141062    9.197104  \n",
        "min      1.730000    5.000000  \n",
        "25%      6.950000   17.025000  \n",
        "50%     11.360000   21.200000  \n",
        "75%     16.955000   25.000000  \n",
        "max     37.970000   50.000000  "
       ]
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## matplotlib \u306e\u4f7f\u3044\u65b9\n",
      "\n",
      "\u7c21\u5358\u306b\u96c6\u8a08\u30b0\u30e9\u30d5\u3092\u4f5c\u3063\u3066\u307f\u307e\u3057\u3087\u3046\u3002\n",
      "\u6a2a\u8ef8\u306b\u4fa1\u683c\u3001\u7e26\u8ef8\u306b\u5ea6\u6570\u3092\u3068\u3063\u305f\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u3092\u4f5c\u3063\u3066\u307f\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.hist(df.MEDV)\n",
      "plt.title('Housing prices')\n",
      "plt.xlabel('price')\n",
      "plt.ylabel('frequency')\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x10b3bb890>"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u4fa1\u683c\u3068\u5e73\u5747\u90e8\u5c4b\u6570\u306e\u95a2\u4fc2\u3092\u6563\u5e03\u56f3\u306b\u8868\u793a\u3057\u3066\u307f\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.scatter(df.RM, df.MEDV)\n",
      "plt.title('Average Number of Rooms vs Housing prices')\n",
      "plt.xlabel('average number of rooms')\n",
      "plt.ylabel('price')\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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5n6reLSILcJPDgtSkx/hUpT/OpFxEpB7Yp6qviEgN0AR8Add1agGClIo/6YXu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\nEjAMw6hgTAkYhmFUMKYEDMMwKpj/Dw7N2ZLaEOneAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10b4dde90>"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u5168\u5c5e\u6027\u306e\u9593\u306e\u6563\u5e03\u56f3\u306e\u30de\u30c8\u30ea\u30c3\u30af\u30b9\u3092\u8868\u793a\u3059\u308b\u3053\u3068\u3082\u51fa\u6765\u307e\u3059\u3002(\u8868\u793a\u3055\u308c\u308b\u307e\u3067\u306b\u6642\u9593\u304c\u304b\u304b\u308a\u307e\u3059\u3002\u4e0d\u8981\u306a\u6587\u5b57\u51fa\u529b\u3092\u6291\u5236\u3057\u305f\u3044\u5834\u5408\u306f\u3001scatter_matrix\u306e\u884c\u306e\u884c\u672b\u306b\u30bb\u30df\u30b3\u30ed\u30f3\u3092\u8ffd\u52a0\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from pandas.tools.plotting import scatter_matrix\n",
      "scatter_matrix(df, figsize=(14, 14), diagonal='hist')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 11,
       "text": [
        "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x10b513ed0>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10b5cab90>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10b758710>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10b7bcc10>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c140990>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10b7e1690>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c2353d0>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c2adf50>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c31e610>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c3a12d0>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c3f0d90>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c57ed50>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c604910>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c674510>],\n",
        "       [<matplotlib.axes._subplots.AxesSubplot object at 0x10c6f9410>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c852fd0>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c8e01d0>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c88d850>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10c9ca690>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10ca4f590>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10cab2ad0>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10cb39790>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10b786050>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10b4a3910>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10b55e810>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10cbf9c10>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10cd7c8d0>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10cde43d0>],\n",
        "       [<matplotlib.axes._subplots.AxesSubplot object at 0x10ce67390>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10cee2f10>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10d04fa50>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10d0d4950>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10d23b610>,\n",
        "        <matplotlib.axes._subplots.AxesSubplot object at 0x10d2bd7d0>,\n",
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BY2Mr27fv6HEEL9jIysrmb38rP62hTk6eSETEXpxOJyEhFxEefojm5qPACdTs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QpRUUORJAgLC+XSpUI2b/6ElJRUQOLuu+9g/PixaLVajh5Nvix3umkSvD179pOamk5c3AQWLZqH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\nA9tei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MUmkRjnxIm1GIYfRTER4hhwDcGgQDo865Hzp5azkf51wC4kNE1FGi3LgW727Jlg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UoDNomkxubg7Z2VlUVAxTUZF1S7CfzQ/jwDk+7o29Eu912Lp1F4cO/TayXEQ4LHDiRANf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\nzJk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X6ixUX5Tr4EFMpkis1giCg7PYu3ccuh7DyJFfkJ8/BilLOXlyI5mZfYFR9OxZRUxM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\nZx9BqVR2SDvUaDSMHTsWGMu117Yk1MvPL0SlCsBu17rKpECSQKVSoFSqkGU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cgNWrV/Hj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\n8kbeeutvhIaGcPPNq8nKOsEnnzhwOi1otbuZNCmSRx55CF9fX5KTb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uLiNBobQwkKaiI2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\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REyAhxCYgTZKkzwohfi6EuFWSpI89f2cydXHp0gi//OU5VKrfYrPlkpGRR17e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NdPJyPDTWqqOCxMmRLG7t0VwLk8Ca1Wi14/y3/dF8HyfYZbw6evcF+3buSo4wPb8vHHBUyZMofy\n8gP4DtriMGJE1FCwIjxqFiAZRUmip6cRMbYuFCUSh8NMcnI3cXGZtLaeZc2acH9bBePRixQUtFNW\nNoNt2woB/PklPoSHG4ByFOUkDQ0Z/PrX+7FYDmOzObzj3Up0dCwrVlzNvHlz+MMf/oRIcE1HzG8u\ndnsjiuIrbluFJM3BZEpEVVtxOluA/eh0SWg0CcBJVLUFiKa1NZsTJyKJjm4gJcVMYuJEGhtPYrdr\nMBhEiKVGo2PKlCnExU31FsLtRKezU1HRjd0ewZEjp/nZzzaRnZ2H0aglJkYYbFpazs3pbbcVUVOz\nF7s9HJ0uDo0mAY8nHFnWIGSlzxtkR1WNGAwW3G7VO/6TkaRIEhKKsdkmA5kYjV/gdk9EURQkKQqN\nxsTx4yewWCxIUhUwBYdjNg5HJKraxtGjKRgMYZw69R4WyzwcjukYjRVMmJB8QcQcijKdM2c2oarN\nCIVMWF7PkaVKnCNRtaDRuFCUJoSyraDVukhJuTRFWwdDoAxesEDs3+3tEiBhNBo5Fwq+x0t7LhRV\nEY5lQNBg34IwpC0EFDyeOjyeTBYsaGLWrHC2bElh9+5iVLWHtLSJfPObaf6acJeiP30RETEBg8GC\nVqtj2rTQbHxTpkxGpxOGoaQkA2fPuunubuWdd/7J9OkZqGoXqtqBqkYTHT2Dzs4CwI1Ot4LTp1OQ\npF2IsPIufB5BkQ80GTGGHQglMhlhYFSAG1EUJ21t2/CJWp1O51XsRJjp9OnnjC3jHT7DrsvlIi7u\nFG53KyZTNBZLOULxiUXknPUPXR09BFN0Lm5u0GD7aXh4OD//+U8A+OCDj9m583e0tNgQe1s6Ivew\nE2E0nYAwTHUA8UiSBb0+HVm2oCjtuN0xgAGtthWjUcZms1FdXcsPf/g9dLoSIFAJC27kLCzcTWlp\nHG1t+5k6tZa8vGeH3NexogA1IsxzLuB9SZJ2qKraJ5OpG5jPhAkabrxRw+rVKy99Ky8aBs5Jcbvd\nJCYKJhcASYohOjoSk8lIfHwyMBW3ew8m03xOnZqKwfA5Wq3Is2hrs1BTI3grfDHIP/3pI34Pz+9/\n/zIvvyx4733hMQ6Hg/JyQa3a0xNNQcFOnE43kjQBSYLc3AW0tBgABzNnzuepp57D5RIsMgaDoVee\nAYCiuHG7DyPi1rsRuQ96xEHwGCIUaDYibyTeOx5haLVacnIms379Q2zbVkhTUzMdHZ1ERk4FVCTJ\nQlxcHDfckIBWq6WsLBuzuYVgAizQRarVapCk9H73nD9auVxY4Gpr63A4kvzXAJmZPVRUlCMsZHMQ\nrC+LERtpN8KbtwexqZoQm+xxwMSiRQ70+h5OnJjizUvAPw/gOwCdY24RuWYG/3VfDCffJxiCCfeL\n6UnWaqdhNEbgdNYh1rsvZOY0ou6EHWHNn4rIDWoGShHhhMfQaGD58ptZtiyNsrK2XoqNXq8nN3cB\nR44IY0VZ2RG2bj1LZaWGlJRPATGuBsNetNo5qOokysrKUJTPkKSZGAwdGI0f43LlUVYWQ3n5Zu68\ns4q5c1189pmPmEQBGlGUSIRF7zDR0VEkJBiZPHkq9fWtWK2L0emmYTA0oShdQA1u99U4nQas1jPA\nDCRJw6JF0dxyy5d4//2PKS3txOMxYre3M2nSRFatSqW29hSffRaGxeJGr09Eo6lCltNoa8ukq6sS\njWYCt9+ezg9/qEWr1fL44+fGob6+Abd7LXAMSZqI0diNx1ONLM9C5Mz4PEQzkSSJCRNOER5uo7W1\nDUlKJzIyme5uKyJMSIPTKSOIPepR1WKsVi0fftiBLN+GXt9JTEwrBoMWp7OVsLAeMjLmotfr6e62\nY7GARqMnPt7NmjVSvxDOgXKA+iaaC2+qitgaXQh67y5ErgKIJHcfa5WOmTO/TFNTOYqi4HIlERbm\nGTMsqcHCVE6c2INGE4PR6EFQ5UtAFB6PG6H4tHNur1AQ8uYs4mCvotOVo9VWkZ6eRW7uAvbuLUZ4\nqRdRUxNzUYstDiXsZtGiBFpbI5EksTeGgsej4PGoyLKdPXvKOHNmAoqSQWurjqSkQiZNygcsmExV\nZGQ4OXMmH0VpwmZrxum0oCgywjAaDuwHutDpvoTbHY4gk+giIiINm+0kqurAF7Kn12uYOTMTu10Y\nvaZPn+8NgxYKUKBi1zcHaLzB1/7Gxi6ioubgcLTS2loK3IGQETsR79V0hOFn7GKsMMbpdDqSkq6i\ntbXFGylSB6xGRDh8COQhzgRaBBHHIVyuJsTZYT5CBdmJx9OOzfYPbLYFbNo0Fa32MV555QVg4Nwf\nH8zmVurrI7Bam9m+fdfQ239evR5hqIK/EQBJkjZz7pQVgEbAzJkzNmprL4+E83PwucaDL+DCwt3s\n29eAqGMBUVFF5OTcRWpqMuHhxZw8OYW2tjbM5iROnXJx3325aDQiodLhiMbpFCzj+/Yd8H+fT5C1\nte3Dap0JQG3tKUBQdzY1iUT499//CJdrBXv2nEKWp6PRCG/MY4+JNK7i4gP85S9OOjsbcbtriIiY\nhMv1AsuXLz3Xu8RuhICZjrASpCI28+sRHqEkhAVGRoTINQFHmTQpjR/+8P6ARd+OqlqIj49Fo9EC\n8aSmprBkSZo/OV6Wz9Ehh7L6nTxZR1OTx9/XCy8SOA2RbD3+IULQ9nuvFwPw6adFiI01AiHMTiAO\n7gnAafT6hRgM1fT0fAUxh1WAQnR0IytXrmPnzg56elqxWE6h1U4lNTULgLq6IpqaxKtfWlrmD8Wc\nNUuLRqNl4cL5l6zfFwPigBRPUpIRp/M43d1a7PZqhKWxB6H8xyCU/2bvU3GIsB8boCMiQtTUOXjw\nEG+9Vcorr3zKihXvcOedXwV849bA2rW3oNMlsWHDP7Fao2luFuv7zTdb8HgmExERidt9ElVdiizX\n4/F00NWloKqTEZ7XbtxuhR07JGbP1qLTtSDLvnozp4CbkCQtYWFb+MpX8rnjjhu9rGwK771nRVEm\n0N1txmaLJDx8InZ7CkajgalTG+jo2IbTmYbVupqKimPU1U1DkjpYuLCF+vrpdHR0UVtbR2kpNDUZ\n8HhsRETYmTw5C41Gpb0dVBXq6jaxcWMOv/71v3DbbTfz+OPr/QpDRcUxPJ5cIByDwcaUKRmYzQ3Y\nbGZUNR6xpahANWFhHpqbV6MoHozGI2g0h3E66+jpyUUYY7QI5afQOzYLUJQeenr2otfLmExRREfv\n5fTpMByOdCQpjPDwvUyePImOjrtxu4tITbXz/e//iJtuWj0sco3+h8xIJkxIoL29mp6eJuBbnKtx\nBEJh8HnRa0lKSkKvT6OpqZmurmacziQ++OBjvvGNO4fchksJu30uqroLq/U6hLJzCEGw0oXwaCxD\nyJ5yhHHMgVYLimJBVT2oaiTt7Z28/76NEyca2bHjM+AaIImWltFg8uqNzMwM6uosSJI0oDz74ot9\nOJ06QE9DQxTCOyxhtxuwWtOw2bZgNi+ls3MhM2YcICoqms7ORuAqPB4bwouciJArBmA/kuRGkmRA\nIjJyNmFhJmR5IpIkERmpRaMpYc2aWdx223f5z//cBuAlkzAxZ841AH6ZfDlBkiQ0Gonubo83V/E0\n4j1Kxud9H/sYG4xxIjwzkbCwcGy2ZkRUj4IwWjjR6U4jy77i3xMQJQc0iPO8FSFfJyAiSCYB23E6\ns9i1q5lnnxVFud980xcKt7tXUXaRFiH2wIaGv9PZmYDVmsg77/xz6O0fiUG4UEiSFKmqqtX732uA\nF/vfpQdaMRjWsG+fym9/+zt++tNHLmqdjEuHwWn7VFXBl2xvNDr5/vcziY2NJS/vLoqK9lJcrHjr\nq9jRasNpbs4GICurkchIGwBXX7203/deffVSmpqEtWft2lsBYXkPCxPx2BqNUIQUxYPH04DHA2e8\nIeW+hMLOzkZsNgseTxSQyBdf7KOqarL/Nzo7OxEHkM2I0IWZiBwfJ+AmPNyDThfhZQKKRShKB7n+\n+tncdJNg2RG1XrJITlbIyWn1W8J9is5gbluHw0FdnehnUpIWl0t4qDw+LtALwg7EwX/8o6enB7vd\n5r8GYZUWDtpahAU2A6G0NgBpmEytxMbOwuGIxOOpQ2zA2YSHF7B4cS67du0iLGwqCQlhzJuXhVYr\nvItWayoulzj4Hzt23MvupfK1r6WzfHnw/IixkO8zVPa1wHyP7OzHeffdD/joIyMWS3lAwdhsBLNX\nF8JrZkHkxiWg0y1Cqy3ln/+00tRkoqUlBvDQ0FDOZ5/VIEkaLJZkJElCUd7n5Zd/x113HeLttw8T\nHz/RHyI2Y8Z1JCZu5tSpejyeVCIjZ9La+oX38yyEgtMKJOFwOCkurkZRrvay/Pis1nZ0Og2JiZNx\nOJZSXl5Jbu4CfvSjBzEYXuXYsWpqajLp6rKxdm0+BoOB2tpTnDgxi9OnjYCT1tZaams7OHkyFTCh\n0WixWI7Q3GxAUfRIUhxRUWY0mmrmzYvngQfu5ciRct59t476ehPd3dOpqoKXXvqT/2D2ve89zIED\nKhERa4iO3oDTmURCQjJpaZV4PBOxWDTIcjUidM+JJMWg07lxuWwoihO9/jSQT0+PFqHg1wARmEzT\nMBg6sNsduN1ONBo9EyfOJDFxP07nJLq7J6Ao3Wg0k9BoPJjNZ5HlDGT5JKBl4sQ0brghv9/aGG4O\nkMFwhKiocM6cmYg4WJxCyE3fnuGjjQbwcO21Ufz1ry20twuKclUNo7h414C/cakQKIMdDpH3qtO5\ncLu7EHLFiDCwdCDmYiKwF43Gg6JYEEx+OiRJ9YYEOpGkqzAaY/EdACMiwunpSQFOExdXelFlRLD+\n9MXhw/FkZJwiM3Ma+fl5QVkoCwt3e78nD3EkE/TlUElMTCKzZl2NydTOaa8+l5e3nOuu0/LGG59S\nXz8Xl8uK8MJHIcavHJhIWFgp0dHLiYycx7XXysTFRfPKK3VoNBF861uZ3HCDKC3w4YdbsFqFB0iW\n5ZAydrznAPnaL8tJHDx4iJde2orNpuMc1boeMXZXSBCGCp88+93v/sDnnxux228D3iM8PJxFi5Zw\n9mwUZ85MwO22YrPJ+Oj6xRgfRChDUxAGVQ8REWfR6z+jq2smn3zSAhxBURJoaqrkjTcK+elP/z8a\nG0Gvz8dg+Duq2kJPz0LOnk1GhMRaOHWqc8jtHxMKELBCkqT/RLz1n6mqur//LbWAitXa49XyOlmy\nZGSZm0YPV3v/PRb005UrVzB9ehT19ULQt7bG8Mkn23nttZcB/DVSliwRwunvf/8HJ06IGPG5czXc\nfrvYHH70owf933eubsntLF/em73o4YcfwEe/+eCDT7FvXwkVFW6vZcpDZWWnnzlLoBudTiU8vI74\n+DCWLl3EiRPn2u90zkaSHKjqtYiQjUMIb1YjGk05qroIh8MD7PWOxXSghDvuWOs/QPQWyt8YtuK7\nefMnmM2CUvn48c8xGq8DgodZDR/TOVeNfXxjw4Z3UdUv+68BJk36ElVVRYiDVizCehOHUGaP4/Gc\nZtGiO+np2ca+fSV0duYAp0lKmuAPVQ3MS/GFsOn11RiNoqbUsWOfUlMjrI51dQ38x388FrR9l5ae\nPjiGykSn1+u5+eY1/hCkG27I5wc/WM+uXSl0dGTT0fGetxCoAREykIg49J1BrzcRF3cCq3UR5eWN\neDwGxCaRhqLE0tgo8qtcrgQURWLLlj3s2lXET3/6iF8OfPrp06xbl0ZJSSkbNkyiqWkWBkMD110X\nh6LM5oMPInE46oiLK8dozMXhaMPpPI3NtgZJaiI8/HN6enIQHtv9hIdrmDx5Na2ttWzdGkdBwUGm\nTt2IzbaM5maFrq5aEhKmsWzZPG6+eQ0FBTt56qntmExGYmNhzZp4srPzqK3dTXt7B5KkEhc3kc7O\nSOLjDaxeLVFb20VNza0kJKQSGRnJ44+vx2B4kd//voSurhUoisyJEz3+8f/oo3CsVi3Tpp3h9tvz\nKSmJo6PDiMPRw8SJlTQ2XoXdnovL5VMY0jAae/B4ylHViSQmLsLplLDZehCb8mT0+gMYDJMwmeZj\nNJ6ks7OH8HAn69ZdzbJlS3jmmV10dc0kNdVMQkIxWVmzcDrz0WgMWCxFHD+ezY4dRl544Y/98iP7\nrom+6HvInDXrS1itH6Io0wPWiYfetPtbRM/SUqmvb6CxsQuPR4OQSRKRkRGMBQTK4M2bRTj3pEnd\n9PSsxGJpQ5bjUVXB9iqOAiJnLj5+IS7Xdrq6jgOg0+mR5SggHJ3uMDffvIrbb78Gk8lESsqd/P73\nbwPwzW8Of5+4kP7cfvtt/e5pba2ltTUDhyPZzxIYjIWyuzsBQfIwCcjGZNrL7Nk6HnvsXzlxopaS\nkttITi5h0SIbjz76LOHh4fzwh9/jkUce47339tHZaeCc9f00JtOX+fKXncyeLaI7Fi6cz+OPP4HD\nIaJBtm8v5OmnfxWyH8Fk2liQvReCwPavXr0Sj8fDL3/5PKq6AOGBT0Icxi+PvfxSwCfP8vPzeP75\nP1BdXYuq3kZ9/QySkhJZvbqF2tpTFBdPpr6+C1nej0bTTE/PfEQYvQx0EBZWTmzsUWJjv+llFG1A\nkgQbssdziH37jrF3bydu9yJU9TQGQxlhYTMRSv9pVLUOEOeW6urNQ27/mFCAVFXdgk+Kh8Q9wCsk\nJtqx2z3ExQWnnRyfEJb2hISEoJ/66p98/nkNTqeERtO/sF3gy11cfICICKFM6XR6HA6hYO3bV8Ka\nNdf3E2R9hVp4eHiv+iwAiYkTMBonoSgy4eFu/70Gg4GYmJnY7XYiIhykp89n0aIs8vKEhXbDBkhM\nTKS1FWS5Eat1Cm63z2I3Ea3WjMGQjizLuFzl3m89zZw503vleV2o8M3IuIrISGESnzUrk85Okd+S\nlXXXeX/nOaQjrEjjHxMmTKCpqSfgupqUlFROnpyCyzUXcTBxIRQgEV4REZHK4sUO1q9/hyee+A3P\nPnsAULnllpv6Hfh8tNcgwu1863TWrEwaG4XlLSPjqkvV3UuK8PBw7r77Dmy205jNLaSn38z+/R1U\nVR3H40kHYpEkHWFhMklJDjIy9JSU6HA6JQwGDW53h5e2OhqDIY6kJA0dHZ309IShKLP9jIbB3u0N\nG04gSVqMxsnMmpVKdvZsyso+BJJ54onniYyM9NJJf0pXlx6dbiLJyYnU109Flk0YDDLz5mVz001C\ned26VaG21k5bWxcJCS1IkkRCQhypqSm9aPfPeTuW+d/n8vJKCgokbLbprF591pvrJ4qCBiqXsiz7\nreUzZlyL02lDo7EREZHiZRYCkyka6GLRIg1PP/0k9977Hbq7I0lMzGf+/ARkWcPZsxG0tDTQ3W0i\nKuoU4eETEHlJqaSnR3P99Qp/+lMhzc3icKjXH8VoTMfptOB2gyRdhcEAYWFhrF69krKyIxQUqCQn\nZ/Dtb9/pD78FKC6+mmPHzr+OSF85l509G0lqxmy243S6MBjisdkiEDlioq1ut7h/+vQGNBotOt0U\nFMWNLJdhMIj3cCwgUAb73vFly75EY2MTlZV7sVh0eDxxKMokhPJTg14fS2pqOLNn38CmTSK3c/r0\nqVRVTUGWITnZyj33fN0/ZkVFXxAefiMg5utS96cv1qxJoKwsNPubD+HhkYg5TSU8vIeMjFXMmHEN\nMTEx/jy/OXOu4e670/z5tTExMbz22sukpibzm99sBBR0OpX4+ExmzUpn9mzJmxubQEVFi9ejL9a4\nJDUNqx+XG/R6PY8/vp7Cws/49NMmhOc9FmHs8TCUqJwrOIdAYoSCgp1+Gb5kySKWLFnEyZMH6e62\nk5Exjfz8KN54o5nmZlFINSrKxZw5c2htnURzs4LBYCAlJZ4bb0zyy9uengRkWXgpdbpkpkwpIi0t\nD0jkqqtOsmmTna4uwewbFjb0s9hoFEK9CuEGqACcqqp+SZKkR4HbEBlU67y1gvrgNSCOFSuSycpK\nJSdn7qhT3o4cjgKQlTUz5B0//vEPcLufZ/PmrWRnz+J3v3tqwHu1WuHByc6ezVtvnT+rie9AEhNz\nM9dd9wkpKSl85SvfITIykpUrV5CXtwz4I9XVTVitt6LTmfxFC334yU/EIna5onnttQYaGuJQ1W5i\nYsq55ZbFZGYmoCgedu5M5+DBwyQkZPLLX/5sRK13gWNit8eyY4dg3KmoOBbUcjc8vE5S0uVRL+Hf\n//1HPPjgE97rJ7j33j385Ccr2bs3gg8+2MLJkypdXW4kaQ8mUxSRkQauvfY75ObOQK/Xc801y/ni\nC2Fxvuaaef2+P9DCvWdPA1arCLHKzMxg3jxxYBEeyLGLCwnDO/fsJPLyHmTXriL27y/hn//8kKoq\nUQ8sKWkaS5d+ldmzm2htPUxXVxsZGUbM5qs4e/YY4eFaJk9OZ80aUfT43XfriYvLClmTa+XKFfzq\nVw5vwc6rePjhB9i1q4iEBGFI8b2vK1euwOVy8frrhURFJXDrrXfwwQeNWK215OWl8Y1v3BBglHiR\nggI7iYn5LFjQ2S8kFUJ7OwKJG5YsWdRLVgSOrSzLvP56I4qSwI03esjMPMWJE4lIkpacnFb+8Q+4\n//4IIIKHH36AF174I5WV83E46omOPsiPf/wsS5bsRZZlZHkF5eWVeDweDh+egNlcxbRpFu644zpW\nr17J3LnZPPDAM3R3e0hPz2Hy5Ars9um0tyfR01NNevoscnIE0cH69Q+Rm9s7BNLXh7y8ZX45MxLr\neN26NJYufZ45c15l584zHDqkAFOQ5a2EhYUxc+ZcDhwQRoRJkzK9+8JjNDScxmb7JgZDWND3cDQQ\nKIMffvgBfvGLn7JuXRqynMTbb5/g449d6PVfwWD4iJaWHsLDY1mzZgb33vtVZFmmpUUwRj7wQAYf\nfVRAc3Mz3/veD3u9g3V1p5Flnf98cy13AAAgAElEQVT6UvYnGNavf6hfyFt/2bEbs1nizJlEVLWZ\nzEwLs2Z9F41GE3BfaHlzzTXLycvTc/r0PvLykrjzzu9SXl5JWVkCZvNZ4DipqVn88pc/47nnXgJg\n8+a3h9WPyxF6vZ6HHnqAysonaWlp5lwxz8sDoSi0LzaCrdfAsN/8/DwWLy5i48ZN1NSIPOPW1i46\nOpJJTm5i8WItd9zxVVavXolerycnZy6zZ8u0tUno9QeYN28Ozz23g4MHD3t/48c4HHbefvsLAJYs\nyeXUqfL+DQsC6VIzR3gVoP/01fyRJCkJ+P9VVf2yJEk/AWpVVd3Y5xkVFhIffy3r108alHZ5PEGS\nJGJi7gXgkUeyQ4b+nC+Gmq8QCoHa/Lp1aSG9MKF+R5IkPzuJ2+3mt7/9Hf/4Rw2SZOWuu3J65XFd\naFuHiqeeeo4//Unkudx/f/gFrSdJkjAYFrN+/Zf59a//Y6SaOGroO9833riq1/w9++yLbN3agqrC\n6tUJLFw4v1ce1nDmcCTn4XwRuD5HEx9/XMAzzxxGUTysXi2xZMkiZFn2J4DOnWvmyJFkFEUmJ6eN\n3NwFg1bIHqhvod7rwPnLy1vWq7hn4HdfyLs61Gf7thEIuTZhaOsp1G/71nZBQRvJyTP89Mk+dsLA\nNX6p0Hf+gq2RPXv28V//VQ3AQw/N8lthL5UsvRAE9s9ms/HCC/2Ndr61OdT+/OpXT/Pii0IhDByP\n0cBwZEtgu7///Uw/idBQ5i7Y2PjeHUURObM+eTFS62CsyM0LRUHBTl57rZ6jR7dw5sxJnM5oMjKu\norz8/6LR6FAUGyI3SCAq6k66uzcSnIRgKH8bzr3DfT4YQtNoj/b8+dZtSUkppaVxtLaeYM2aBNav\nf2jYe03f9/4Xv/gpqqoOqgGOlgJUhEjqeQ9BGTVHVdVnJElaCNyrquq/9XlG/da3HiAj4yp+/OMf\n9KJYHu+QJInf/Ebwlveljx4LuNCNtK+gHAsbc+Bme6Fj7pu/sTh354O+82MwGC7a/I3kPJwvxspG\nHmxch6qMhMJAfRsL7+FgCJUw7vt/37V5oetprI3JUGTnWHiHzheh1ueFzMNYGo/hyJaRbvfFXstj\nRW5eKHzjJLzEMuXlleTkzOXLX74RrVaH0ZhEoHLhcrUhyw7GpgI0nOdHXwHyYSTWat/3JyIiYswq\nQAZEgK8LeB8RDteiquorkiRNBx5TVfVf+zwzNmbqCq7gCq7gCq7gCq7gCq7gCsYshqIAXfIcoCA1\nf7oQ1EcA0QgOzCBYCpSi0WQA4Wi11xEXF8aPfhQ/rkPiRJzmwwDodP+N2x08X+fb336Qf/wjCoCv\nf73bzwB3qRAqZMb398bGJtrbBQvUo4/O88f9S5JEfv5j1NaGERvrQFVrMZsn4nJ9ht1+LVqt1t8f\nEeKxC4BHH80f0QJ+ubkrOHhQxJtGRLyFw/ENAFatqmHr1k3n/b2++Rto7sYTMjNzOHHCl1S9kxMn\nDrN16w5ef72R8vIK6upqMBon88MfJvUKL/GtgzNnjmCxdJGQEBd0DgPXUVXVK5SViarl0dEb6eq6\nA0VR0Om2Exu7mNRUkaw/UOjlheJ8LJlDCQsdLHxrzZrre93jC3EL9bnJ9AVvvVWJ3Z4ORDF1qoVv\nf3ser712hsZGLdHRHdxyi4mTJzO8RTbt7Nr11LD61rfNxcUHeOklEYLXd76HOyZDCcnx3dPUVEFb\nm4X6ej0Ohw6T6QxwjK6uVahqHVptFAkJE2lp+Q2S9CNUVSI2tgijcQpmM4ALrfYqpkyRSE+PQNSP\naSc5eUav8MHA3/aFl7W3W1DVWjo7s8jICOOxxxaOGvOVJEl84xt/7bcejhz5iIaGRIxGAz09f6On\n524AUlM/orHxeEB/dgEjL0vPF4EyeOHC/Rw8WMSUKU8CkJ9/hvr66QCsWqXwf//vdhoa5qLTSdxz\nj4077lg7pP7ceONaduyY5v2eC5Ptw+1PScnuXp9LksS3vvVAr3377rvvCCoXtmx5i46OCYCJ+fOP\nUlpaNOR2+Oa6rc1CXFw0EyfOHZbMHKwfwTBePUB9Zeo//uHGZgsHyhDH0Hgk6Riqup2wsOXY7VMR\n7Jz1wAn0+mwmTUrqJVfa2yU6OkxkZNh57LEbxgVT3nidv6FiqPlPo0GC0Lfmz0sIirdngBsQJeWD\nQEN8fBL/+3/fxZkzjahqNzNnplwmSXvvAPDcc0+GvGPt2ls4cOBD7/Wtl6RVgRisNkBxcSPbtkUj\nitn1xqOP5ntroeRSWhrJu+/W4/FMxW5vJjIyqk9/4i9K+zdvfptbbhGMb6+/vpX1638BwN/+9uoI\nfPsOvvSlVSPwPaOPHTs+ZNWqW/3X6enp/jnes6eBjRtjkKQe5s2b0+u5wHWwffsEQsUkB66juXPf\nZt068f6+8MJWHn7432lpOYvJ9DUMhjBvnkPamCM7GQoJQvB7ev+/Lx19YIhb38+XLn0Kp/PHfPyx\nGYPhDPfddx3z5s0hMrIMk0kiJWUSa9dei06n8yeb7toVmihlKG12OBwkJwuZ03e+h9bf/p+XlJRS\nVpbgJUHYHZQAQZaTkGWZd9/9gNJSF7GxC1ixIovi4hJk2UNaWiyzZ8fwi1+IQ257u4V/+7f16PU6\nfvOb52lsnEliooM775zK4sW5/u8vKztCWVli0N8WaCcuTmXlynkYDIYxQbSzbl1av/WwZ8883n23\nDnBz/fX/wquvimTg3/72l32evjiy9HwRKIM3b36btLQ07r9fhHrNnHkzL70k1v+8eXmsW+fhjTfK\niYyMZO1aH0nN4P35299e5d57v+O/vpjo259g6Ltvh5IL6em5/OlPB5EkiZ/85OHzaE088fFx3HCD\nOmyZOZR+XC4IJlM/+uhzrFYLHk87YOKaa2IpKoL162/mvfc+5MSJAlyuiRgMU5g8uYKcnNXodBpy\nctrIyckPCJ0bvK7X5YSBlIzxolyNBg1235o/xZIkfSZJ0m4EC9zzwR6KiZnMQw/dOuIkAWMB+fmP\nADB9+oyQ99x002p/8b/ReMlC0VAH/r2iQlhWfDS4PgQyQZlMJqqqJgdN5r6YSE1N7WXZGknLYExM\nFosWha7yPZ4wZcoUqqvLev0tcI59BW77Vgj33SPLMjt2HA75/X3XUeA8bN26aczlYQTDUCjZg93T\n9/+D0dH7PveNyZw5WXg8K9BodOTlCetxVtZqEhKOs2ZNAjfdtNrPvDYYgo1z3/YMpyL8YGMS+LmP\nAW6w77jpptUDroVf/OKnbNv2Qa+/rV1764C5VKHgK7QMsHz5xfM4DheB7Qj2Hq5Zk8TNN38JGL3C\nwENFXxkM+KM3Cgp2+sffZDLx+OPrWb783Dxu2zY0dq4JEyZcVK9PIIL1py/67tsDyYW6ukwgdDmM\nwSBJEgsX5gx77Q6lH5cL+o7/vfd+ncbG2bS1nQXqSEiYyqOP5vPlL2/jySd/zpNP/pxf/eppvyf8\nvvuuYfnyqwBYufJev0y67babL3VXxghC5xiNB4xGCFy/mj+qqj4NPD3Qc0ZjI7Nnf/1iNm0UMXjo\nlNvtpqSkFBAJ0WPtYDhUamBhWd7Gpk2b8XiuCtKX8RdGFhfnYO7c7NFuxoggWOK5D745djgcFBcf\noKSkNETC7vnP4XgvtncxsG1bIU8/vYP29tMsXBjJXXd9rY9XacqwlcWhFHMdyjs9mMLa9/PhUIif\nz1oI9oyvr4qS0Cv8LrB9DoeDrKxGtFoteXm3D+s3LzV6W7Fzefll4ekYr7LUZrNRXHwAk+kUa9fe\nElJRGC/9CcRQ13DgvlhcLPbF4REhjL+xGQuQZZm2tkMoiocFCyLJykogPz8PELJh27ZCqqqqCQtr\nJioqlQULrr+yP11GGBOFUIeCzs6lfPRRAXfdNbY3p/PD4K79F174o5/iFfpXGB9tDFXQ6/V6yssr\n2bEjlR07nGi1ffsytsI2hgKbbc4I1RMaffQ9GAfCN8dPPfUcf/mLr9hjsLU4/uZwLKOs7AiVlR6s\n1klAF/fco/N7Ni4mhvJOD6ZIBfs88J6L6fELpFlVlEQ0Gh25uQt6/b6vfU1NFUA8qanJFBXtHdOH\nnMB5CaT+7v8ujo/38IUX/uiVJ6lkZlYOYE0fH/05Hwy+Lw6Gy3dsLibKyyvp7JxBZ+dZbLZ23O5E\nfyhyYeFunnnmMOXlibhcdqKjtf2iW65gfGPczKYsO5Hli7vhjxba2moAkOWsUW7J8DHcA4zb7aa6\nuga7PRaA6uom3G53wHPjz5Jltbbgcl3cquOjiYKCnUDf+VVxOJxB5g/G4xyORfjeLY/HQ1KSHqfT\nDaj+2jRD8eKEwlA9MT4rqMgrmusvTjdSuJA+DPW7FSWBOXOa0Wq1yHJSkPUaGmMhJDOQqheGU5No\n/L2HHo/HL28Cqd9F38dff0YCQ1uDYmxkWQ4hr68gGHJy5hIbu4uzZ62YzTYqK48hyyn+zxXFQ0+P\nDVnuRFE8o9jSK7gYGDcKkMezFVlePtrNuCjo7BTx/OXloa1f3/3u/2Lnzm/T3m5h2rRHhrWJX0wM\n9wBTWLgbq3Uh4eF/p6OjjeLi2WzZso2bblpNWdkRAJKTZ4wrS4vNtp/qanm0mzEiCHYwDpzflStX\nkJ09m1mz/kxTUxhW6yoKC8/Ne2AuRbA5HG7I1FhY46OFLVu28fOf/x1VVZg3LwxJchIXN9H/uSzL\nXs8FyHLSgN8VbFyHomz4rKCCWW4XOp0uBHGB7D98Bc7bcELeBmvvcJ8JHJ85c2I5ciSZI0da0OnO\nrddA4gU4p1wE9n848u1irN/+XqoUf1u++93/xa5dIun/u9991f/7ZWVHSE6egUajG/OyVBAZnSuC\n+vrrjciyg+eee5GmpkhmzcpnwYJOv1yBUEaZsYfh1PcJHIdAcqfB1mCgzC0vr/SzSfa994ps7Y/V\nq1eyceMmTp600t1dx4kTh9i7V8zRypUreOONv/H55wdQlChUNcn/Ll0Zy8sDY1sy9sLNVFXtH+1G\nXBRkZNgByMlZGvKev/zlDQ4fnovVKvOrX71HbGzsqIRpDJQjMpRnS0pKaW1tQ5I0OByrOXlSy6ZN\nmzGZTJSVJQIqOTltrFx570Vo/cVCPpWVl8faDHUwVhSFkpJSL4tXIi5XHgkJ7eh0vZPjBzvwnk/I\n1P9UbNq0mZqaiXg8HgyGfWRl/WuQA+3QQl/6juvKlStGZAP3rZdAetnAeRtM0Qq1Xs5nHQQP3/SN\njzJg+4PBJ6+amlSSkwdWMC+k3YPBp8i1tdUTHx/X67O//OUNjh3L9V/n5i7wer0S++U7jVWEh4f3\nIkMAOHZsF/X103G7tcAu1q37Jrm5Yt3Lssxrr53GbG6hpKS0X+X4sYShhq673W6KivYGpWgfDIHv\nkCwnceRIS9D7rsjW/tDr9dxxx1o+/vhZrNYV2O0Kf/7zZ/7PWlpaUZTrARWD4UCvgsxXxnL8Y1QU\nIEmSHgFuV1V1hSRJjwK3IRjg1qmqGsKU7kFV1THj+RhJTJ0qSh9dc01oBWisINhBaqgWXmGZFErO\n9Onh9PQYkCSJjIyrLmaT+2HkrTceYmNjLrxhYxTr1qX56YvN5uOAOBDm5Ejk5p4/TfWVcA2BUOsx\nI+Mq9PoWPB4Fp3NSP9ZEnU5HcnISZnMLZWVHhhWeNtQN3OdJ8VFrj8Rhum9/h3J4GIrnsK+yIizj\nIpxl4cIklizRhfRUBYOQVwnAcXJyJFau/Mb5dHeEEE9cXEw/mmOPx4PD4fBeG0exfSMD337y1lvR\ndHRE43Q6WbQomvz8PH84HIDZ3EJtrZ2CAju5uefW73i1zG/bVsgzzwj2TFmWezE5DmePzc/PQ6fb\nO6R7/ycjcJ1cc81S5s418emnbmTZiN2u99+jKCoaTQ+SpCU+Po7Cwt1XxvUywmjUATICOYAqSVIi\nkO9VhH4CrAU2Bn9uD7Kc0Svc5nLBjh2pALz88qshLUQPP/wAHs8fqK09xdq194yZl3C4TE0ajYbU\n1BTuvvt+yssrAdE3vV5PScmLFBS0U1Y246LO80hbbyRpD5Mm5Vx4w8YoAumLzxWTnMTKld/od8AY\nbGx7Wyvlfveeb8jUeEaoMfvxj39Abe16DhzoYtasVeTmZvQLPxvqO9N3XAejhfbBR6s9GLX2cA0h\nw2WgG4rnMLiy0vswHMpTFQoajQgvys1NG9Jh+mKs30BFbsmS3hTd8+bNITn5797re/y/P1C9pbEM\n336Sl7fMGzoWwcMP/4yior3+ebvvviTWrJEoKLCTnNy7dMRYs8yHCmvri7KyI9TW2v3Xge/bYHts\n7z6HJvD4nyhbQyFwzEpKSomLu420tA+w25uZMeNaioo+prBwNy7XciIiPsdk6sLlWup9ZniG3ysY\nuxgND9C/Am8ATwKLgF3ev28H7iWEAhQdvZiEhIhL0b5LDoejExjYghceHj5gJfZLhQt58fPyllFS\nIjaDG264vV++U27ugpA1QsYyoqMXk5k5ZbSbcVHRe97vDWqB7824pQn6PYGbuc/7E+rz/+kIDw/n\nlVde8CfA9/Vc6PX6Ib8zfcd1pDfwkZi38/EMBSJQWQEu2BNwPmN0MdbvQHlWolaTqANkMpmGVG9p\nLCGUBzgwLK4vdDod69c/RG7u2D+ADtSPQOTkzCUjY5f3+vwiQXxhyhB8zV+RraGh05lYsuR2IiOL\nycxMpahI/H3ixEnodCuZOrUWm23gYtBXMP5wSRUgSZL0wHWqqr7srSIbC3R5P+7y/j8o4uO7WbVq\nypgWdueLiIhmALKyrh3llgyOCxGiRUV7KStLxGxuAf7YL3b7UllVRvp34uO7L5s6QKHQd977HlYH\nqrUSClesaAIDjUOwHBtZLvTnAeXlLQOGH/IymoehUAf6gaz3g62VwTxGvr/Jssx99yX1IzsIhrF2\nYCwrO0JZmc+4MLDHdLy8WwN5awJlTN91Hmpuxku/+2L16pX+d3q47Q70+pWWxlFQcHDM50aNNgLX\nSV7e7RQV7aW4+ADbtqVz8qTa6x5ZTkGWsygvryQnZ+6QPNJXMD5wqT1A/wL8PeD/ncAk73U00BHq\nQbO5nE8/NaOqTvLz88nPz794rbzEsFoNAJdNLZlQkGWZioo9NDc7UZTEXrHbcOkOHCP9O1ar4bKf\nu77ouwEEMm7l5OQPuSbUlY2j9zi43e5B86LKyo4EMD2N7Zo1wRCKOCEYhprT0Xct9WXIC1yv69al\njasx87X9zJkWLJYTJCTE+VnrQr1D4+XdGojFcKihXYEYL/3uiwtpt+9ZWZbZsOGfIffXKziHYB7x\nt97aSGWlA5NpSq97Cgp28t//3YjZ3AaIXMsruDwwLAVIkqQUVVWbL+D3ZgDzJUm6H8hGhMAtAZ4B\nbgD2hHrQ6VRYsmQ5TzzxxAX8/NhET08bAC6Xa8S/e6SSQkfie2RZxmo14HR6aGs7RUlJaa9aD4HX\n4ymBtb29xFuk8vJFX2usSDhv88fgy7JMe7uEqnrYv79kGLVKrsBXa+fgwUNUV9dSVxdHSspMAi2L\ngRZLhyOeggIRozEY/fVQfz9wbi/0HTxfWSEIF0TNIV+9nguxtKpqHBZLB/v3l6DVamlq6uiXMzJY\nm8dSUr2qerzGMsX/joWar7HU7oHQ3i4Bvjo/vdvt+5vveiiEKeOl3wPhfGrrFRbuZv/+Erq7tbhc\nRlS1f82ay2FsRhq+MSkuPsC+fU46O6uRpMP+z202G2+9tZG9e4/R3h5HXV0Y2dmibMd49DReQW8M\n1wNUJknSEWAD8K6qqiE9NsGgquq/+64lSfpMVdUnJUn6iSRJuxEscM+HetbjSeWDDz7m//yfJ4fZ\n5LEPpzMdgJqakyHvGaiewECCTbDL7AL6s8sMByPh8j1w4CBm82mczmaam+P4858/YefOT4mLux2d\nTkdJyR9D1jAYy7ic16YPgfNfXPwHtm+30N5uIT19Dw5HEu+880/q6rpQVYX33sukqur8kq+HUzdj\nvGCwg8e5iuPHsFrB7T5MRMQmZsy4t1e+j28sP/64gJGs/N53bnfsEPlbweTFQH0JzAMTbI8KJSUv\nhqT27RuupNfr0el0/no9IJShQEU78PcD0XfdAFgsHTQ3O3n33Vri4xciSfHMmdOCLKf1Y4ELFTJX\nXHyA7dstSJJ0QfLzQuAbp7/+9VMOHw7DbK5m48YZVFU1UlT0PH/9q6Dtfe45K7feelPAHCSg0egY\ny7K0udkJiL2hvLyS6uoarNZFgIawsL2YTBrWrr0FGDhczoeR2u9GCucjz4bbB9/aLS/vpr29FUlK\nZupUK3l5y/j44wJ/EWOAN9/0UWSP3TVxKVFYuJvXXqvniy920dBQDcykrW0SUILb7eYHP1jP5s2x\ndHVl43aX43JN5aWX/gTA4cNHAXA4HOh0uitGv3GI4SpAExGemruB30iStBehDL2vqqp9OF+kquq1\n3n+fBp4e/Ilp1NQcGGZzxwcUxQ1AS0tryHueeeYFnn9eWH1dLhf/8R+P+T8bSDkR7DJh/uuR3hCG\nYlXy3fPhh59gt89FVU20tR2gvX0+ZrNCZmY12dmzAVAUGbP5OCUl5nEkTDKprS0Z7UaMCILVeepL\nMVxdXUtFhQuXy4WiyBw8+HdaWsKw2yeg1ZYCmef9+0OtmzGeMBTjgag4fhq73QPMobNzEv/938Xk\n5fWv2RPICjYSRS5FuJhw7Ov1tdTWimKrPnnR1yrf9xDVW/FJ8IaKqEA7BQXxIZnIBgv78eW8BNYG\n6z2W59B33eTkzEVV21FVJ6oKkiSRmpqCVmvmzTdbvAnj55SzwDEIDJk7evQwZnO6t07ZwPLzYlnY\nfeP05psbsForUJQOrFZB9PDBBx9z6pTwPv/Xf/2ZyMhIRNFUFTjeq3joWISYI4X33/+CEydmAZCR\nsQ+NZgJNTS7CwqaSmVlJbu6CIX3fxd7vhovhyDPf+tm4cRM1NUlIkvY8+mAF9EhSBLt2FfH002VU\nVppJTi7lrrvmAWkX0JvLE2bzcZqbOxDBSLF4PMcBIbcPHOiipycKrVaD292G232cqqoufvSjrbS3\nu9Dr7aSldRIfr3rftSuK5XjCsHZPb42eT4BPvHTWNwFfB34vSdJOVVXvuQht9MKFRiNdvK8fRYSF\niQPF8uVLQt5TVLSH7u4p/uuhIjt7NrGxn3uvc4fdNp9QdjgcZGU1otVqycu73f/5ueR3OaS1d9u2\nQp5+egcnT3YhSW5UVQNMQlVj0ek6yM21cPfdaeTl3c7zz/+BykqJrVsVcnIKR30DGxrs40RRGxzB\niklu2bKNv/+9BKv1LCtWXEt1tZOuLgOgo7u7ms7OibjdEYSFKUyePJc774ztVavkCkLD7XYjyzKT\nJh2nrCwJKAcsQBwdHZ3IsnxBtbdCIdAyPXNmJtAOQEZGOvX13YCQFwUFO70FcOOorq4hJaWcmJi1\nvRQvX/t8h24fVbrHE8v27SpNTc1DDtXrTZMuijqmpqYMmYbaB51OR1bWchISWli1SmHhwnnodDpk\nOYmysmYqK6uoqDjFJ5/IFBcfwOPx0NZWB8DBgwoLF84HID5+IpIE8fFh5OTM9ctDX3hWoNX3YiVG\n++bq0KFyVDUbSVKYOrWWdeu+yr/9mwKI4qitraf9z4xEna5LgezsLM6eraamJhqbLRJJcmKz7SE2\nNgZVvRqhSPdNWl8WMhxu5sxMtNq3vdd3XdK+BEN1dQ2QAgx+dvHVAjp7Ngat9jjR0VMH3LMD1+J9\n9yWxf38Dr78+FYtFQ02NgY0bN1Ffr8dqNaGqIs943TqhAI3lNXEpIUoJlFJcbMHtXgz0AKKoeUlJ\nKTExWUydeoSeniPU1WWhqtDZeQxZno/bbSQsrB7hF7iC8YjzNh+qquqUJKkCqETk8swesVYFRTtD\nESLjEdOmCYvVokULQ96TnJyIRmP0XwdioAORTqcjPl71Xw8X5w43FUA8qanJFBX1T0g1m4+HtPaW\nlR2hstKD07mGsLC9uN31uFy3IkkKiYmV/O53u4mJEYVEtVotHR0mOjocY8KCNzS04mU1vCyxadNm\namsnA5PZt+8AVVVWXK5sdDoJna4Ng2E+er2FhQs7ePjhB4dVkLMvHnzwO1RXP+a9fmoEezF6GOj9\nLCzczZtvtrB3rxOHIxZhhfwnEIteHzxfZSQSvQMt06tWfUJq6tUALF6cxPLlQk746jQ1NbVRV1eP\n2WyisTGWW28t5u677+jXl3OH7imsXHkv27YVsmPHriG1J5j3xO12o9P1HrfAsdyw4dzzgXXSsrNv\nCWANm9QvN6as7EUqKtppbp5Mc3MVFosR6MZsTgGM7NjRwcKF4rDoU9x8ik5/eZjCxbb6+uaqtdWE\nqhrR6XRMnKhhzZrrSUiIB0TIYnx8bJ+11r9O11jDY48t5K23aqmvnw2cQaOpweOZgNm8DI1mN7Nm\nJfDgg2/0o88PpWhWVByjpyfFfz3axDRdXfOYNesTJk5MG1Se+WoB2e0SERFniY+/asA9uy+xx+LF\nubz7bjk9PQY6O5OoqYkiMvI0IDF58lwWLpx/xTvRB3q9nvXrH2LDhnc4cuQ4EAEsBz6hrCwBne44\nS5bE8dFHJlQ1DZBwOPZjMrWi08ksWaLlwQeXUl5+DK3W3Ms4fAVjH8M+EUuSNAURAnc3EIkIgbtV\nVdVjI9y2PjiIyTS2hfnFgtvtRpI0GI0N6HQ6MjPn97vH4XCwadNmiosPcP/93+Yvf3kDEB4gXxjE\nhYTLqKoHi8UC9E689m24xcWNbN/eRlNTez9r78yZmahqES5XO0ZjNxqNHkmqQ6uNIDx8Gfv2lbBy\n5Qq2bNnGzp2fIkk2Jk+ef971EC49jqHXB697M96wdGkub7210XstNuxJk9KAIwA4HE5sNguqWoQs\n67Fae5gwoR6dzsCKFVdfkPIDsG9fCQ7H1f7ry2HDHkhh8YVeeTyRKMoeBBHmbEChq6uODRve4Q9/\neNZ//0hYbt1uN9XVNdhsQqL28UsAACAASURBVAHyeEx+aujApHoQtUUUJYa4uN1YrZmYTFeRmRnl\nVwYcDgelpWWYTA2sXXsLN930Db/ycvDgIdra6omPn9jrt4OFiQXzngQbt1BjGR4ezpIli6ioSOOt\nt9oxmfb2Cs8L9Njk5MylrCwRSapCUewoihartZmwsGYiI6eiqvEcPHiIhQvn9/LwuN1uiosPcPTo\nSRTFjUbTDpyTd0P1UgwHBQU7sdvtdHY24nZrkaQSVFVLQ0M0Tz31HKmpyeh0wns3efJEf7iqrw1j\nXQFas+Z6HA4H+/a9R11dI8nJLhISZnD06C4ggjNnMnjkkce44461ftnicDg4elRENTgct/b7TlVt\n915dOEHIheL48TLi46/B4UgdVJ75agG1tVmIiZkHCKXIxzrW970JZDq0WqPZvPkTFMVNUpJMauox\noqK+hKLI6PXFTJ0awTXX3H+Rezt+ERUVCZQgFCCfgVkDxCPLrXg8MvA54EBV3UhSFVlZK7juulSO\nHavm6NEUNBpNUOPwFYxdDJcF7gsEbfXbwHdVVb2EiQ+30dX1xqX7uUuI+nrxb2lpWb/ioCAEX319\nPBERHlJSjCxenNvv85///ENqaqKJjGyhsPBblJTMBOAHP+hh7lxRQPZ8rBO9FRwLvlCZYFDVWCRJ\n2+/vwiqnoCiZ2O16oBqttpS4uCXMnLnE34ef/Ww3VVXT0WjqWbGicxzRTd6IzfbWaDdiRPDSS6/w\n0UcipCYj45WATxzIssLJkw4cjhlIUjSq6qClJRmn8zjp6beyfbuEVvvilfoTgyDwUP7553uorDyC\nw9GCokxHVAaIByJwuc7y4Yc6srJeHdFcqMLC3VitS4iK2g4k0NOTQ1nZEXJzF7BrV5E/x+fuu+MJ\nD9+LxdLF9On3kJNzhIyMcGbOzOR733uY2too2tvrMZszMJlSycys9MuvwsLdbN9uwWxOJ9A5ej5h\nYuebW+N2u3n22RcpKFBRVRU4iyRpyc+PYvZsMBrbUJRIDh3SYLMtITUV5s9vp74+ke3bVXbs2NUr\nrr+wcDfbtqnU14PReIjk5FUEklEM1UsxHDz11EHS0k4CThTFhaKkoyi1fPHFVRw61MSNN6pMnizG\n46tfvXXc5dAVFOzk8OGj9PS0IMvz6e42Ehm5B1legCxL1NTs5vTpRZSUfArAzTev4fDho5jNYk87\nfPhorz0zO3sWkZFn/Nejj+4h3+mrBWS1WvnjH1+lpmYqJSXT/Ws/+HoS6+/dd9/no4/isNkk4uJK\nmTXr20RHH+TgQT1m89U0NLQyc+bIypHLBYWFuykvbwGygBzABuxnzpxmystLqaiopqMjBTAACbjd\nEXR3N3Lq1EcUFNyGJGnRaFR/XuYVjB8M1yXwGPCZKnaT84IkSdnAnwEPUK6q6gOSJD0K3IZgglvn\nzTXqgzN+soDLDZ2dQo+sqgq9sScnZ2KxnGHRIhP5+XkDfl99fT1Wqwif2bJlGzNnfg/Ab50YDu1t\n4KZeUSEEcPD4fw0aTbvf2+Szfp6DDmFR0QAReDzzcblq6O7ezNKlb7BvXwlmcytudyQADQ2N4+gQ\n3YjD4RjtRowIamtPYbVG+a8B6upO4/Fk4vHIdHXtRJKSUFUJMAF63O4eVFWhoqKSlpYu3nnnPRIT\nE/nb315lwoQJw/p9QbH9R+/15RlO4GN5amurx2xupqVlNtCCJLUgDjQmxCas4nB0jRg9fiBZgUaT\nSHr6FCCes2fb2LChloIClVWrFBQlCbP5OJs2dVBTk05npwuLpYHvfGctZWVHeOKJLTQ3xyFJLsLD\n24CMoL8nSRImk4n4+DC/zAgkGxB03jv9BVHnzjX7Cw0GGy/f86HCYvuuncLC3f+PvfeOj6u88/3f\nZ/qoF6valmXZcpFsyZawaYbYYJNAICEESLJJNmSze3dTnbCw9ybZe393k92bXUggJEAuCSEhlyzN\nhGYTcMEdbMuSrN5sSaM+kmY0mhlNO+33xzMzKpaLsA2Yzef10ktHOlPOc87zfJ9v/XzZudPFqVMW\nZHkATatB00ro6vJgMKQwMbGInBwXkiRht9vJyLCzYkUmspzD4OAQuq7S39/Ac8+9E48geTxeZDkF\nWAJ4ycsT7FoXI9ozG5qbxzCZRkhNXUco5CMSSUHXfciyBb9fp6WllYkJc/zexKBpKk899Qf27Tv4\nntbh+4XY3iFJEkZjIpKk4vf7URQruq4RDnchSZvo71fZuvV+Hnnkca64ogKbbTJleup+1tTUiqqK\nsba2dnxg44phxYqNJCXVUFxsOKc8M5vNbNp0HX//91upqkohErFRU1NHdfVYnMVtKmJkKKHQOK+8\n8gaBwLWAhNvtxeXqpLJyCdXVbpzOWdSpvwAQ9XV//OMLeL0xAqp+YhEgo9GI05mPyxVB0wKI6LwM\nLELTZFyulagqrFwJN90kUV6ePa2x8+Wjv/zXxVxJEPZLknSPJEnfAWLulWbgl7qun294pk3X9WsB\nJEl6SpKkdcBGXdevkyTpn4DbgW2nv20M0OZyuZcRPg5AU9OxWc9u2nQd7757lOPH4fhxjd27903z\nem3adB3/+q8iBa6oqJBg8A4efVR81ooVyxgYmN5sbqoX9lzU0+ciQYiF4XVdZ/PmdNavz4/XDsRQ\nVraKwsIqOjvfihoKy4BExsfLOXw4iZ///HF+8IP7kKS/A1KBZBwO13u8lx8ExhH2/OWP22+/lePH\n/zN6/Ff87ne/YtGiBeh6G6o6gtlsJD/fQUfHcYLBZIzGFD71qY9hsXh4880MOjvDhMP5SNJCvvCF\nv2HXrtfm9P27d+/j2WdPAlBaum/WiOjljrq6Bk6dsjI66icYHAUOAeUYjT7AgabloGkOIANJmrho\n3ztJWJJJefkI5eUbAXj++T/R3JyG0znGxo1JlJe7eOutdKqrQde7KCgowGJp5vnn3XR2JsWpi3Nz\nrdxxxyaMRiNGozFOPw2xnj5KnIJ3ulEjosj19Y00N+czMDCI291JenohqnriNDrZqcxeNTUnzpjK\nO3Pu2Gw2cnKW0d39DC5XJopSgMlkJRJRURQZUMjJSePuuzMwGo1xJkpo4fOfL6G+vpEXXuhk+/YM\nqqv38+MfX8sddyTx9NNNJCUV8tnPpnH11TPlnZCh75WoYibNt64Psn59JQsXDtLZGaGlZQifzwI0\nYTZbGB8fZ3h4CQCPP/4b3njjJeBXPPnk05w8eT2nTlne0zp8vzA42ExW1lI2brwKh6OXoqJCGhrW\nxlk1dT2V5OSTRCIRTp4s5tSpAsLhd7nxxsWAqBOcup8tX66SmtoGQGnpJeRkOk9YrUepqjJw/PjJ\n85Jnop/PGMFgGtCMrkvU1a2lvPx0AoOYwf/kk08TCGQjKhJ00tNTuPHGNEpLV3LHHXV0djooLl4x\nbX3+V8bUNXbs2HF27LCg62aE7mEE3gFESmJSUg9jYwvQtN0IMgsd2AEYMRqvx24Ps2iRTHn5jcDs\nNON/6b/04cVcU+C+AmwF7gVqEawEa4EHJUnSdV3/w7k+Y0Z0xw6sA/ZF/94NfJFZDaBlwLuXzNP2\nwUKw92ja7Aae2WzG4ejF6ZzPwIDKY4/9mptv3hIfv9ls5lOfuiUuXAOBAElJwhO6ZMli/u3fxGYy\n1UN4vjg/EoQMJAkqKsrinZOnwmazkZ1dzPBwIqqagCz7gD3A3UxMwDPPPMd3v/sNkpISGB6WAIm0\ntOQ5X+vZcGmFUNJF/KwPFjffvAWbzQZMbrQWiwWTyYksLyEQWMDQUC26voLUVB+33bacJ554hN27\n93HixGG8XgWQ0HWdpqZWAoHAWXtfzHwur7yynVOnUgBBvvBRMIBmjnHFimL8/pcIBjUmuWP6URQ7\nZrOOxeJCkq5E09JJTnZjsVguyvdXV9eiaaI3TGXl2vgarqk5wZ//3Iqug9G4gvLy1Tz33H4GB3US\nEwcwm5twODZz4kSEnJxOVq4sYMkSz7S6jJkwm83ccstN8WiNLMu88cZOtm17BU1bRE5ODp2dxxgc\nNDA2NsbQUJihoTY8nrxopHlSgRC1EbHmhNqsNNhAfO7oupCR3/zmf2PlykGqqoaR5TJ0vZ/kZMjK\nmg/oSFIfa9cmU1FxA1u2bJqiSOdQWWlj/foreOGFLiYmVIaGVJqaWli3rpJ9+0Ra07p1lafJu/Nt\n2HkmzKT5Li3NxW63Ewpdg64vIiFhD1lZK1m7NpmSkhX8/OctwFIAWlq2Yzabqaxcy1NP/QEwouvg\ndo/N6RouFWaj2He7JRYvPs799/80Lif+5V9+AryNGNcW8vIa6OnpAz6NrkNfXz+SJGixDx8+eppB\nLEmLPpDxzPasDx1yMDhYhtFoPG95lpqai8nUicXiY8GCmzAYRI+Z2HoIBAL89Ke/iPZMWs/Y2FpA\n9BA0Gn18/OOllJWt4rnn3MBC7rnnynjmx2xz87+agj51jVksp/B6q4BSxHxrQkSBREriV75Szc9/\n/jIejxe4EZHB0oXFch2aNgJ46O5eyTPPDLN6tRNNy8TpbOfYsQEURYkyT57eOuAv+HBgrilw3wDu\n0HV9asfOtyVJ+izwPHBOAwhAkqRPAf+GqDobY9J97gXSZn+XE9AvCc3oBw9h+ITDZ06jKioqxGzu\nQ1U1Bgbs7N17dg9DrG/CsWPH8XiEQtvUJHL0p3onr7zyNh5//ElgMuVotm7cmqYyNnaKqUW/MBmG\njx3HrmEqU1OMarKr6xQuF4heBUagE1Dp67Ny991fITPzDrq7D2EytfG9751Ha6gpOFfDuUtFUSsg\nmj5+VFFSsoKkpJ3IchCzWcXrzSMUsiHLQzQ1NfPmm7s5caIer7eRefOCDAy0oWkGgsEreeSRX3Hf\nfd854wY787kUFRWSlCQ2i6Kiwvd5pJcGU8eoKHt5+eXX8XjqEJHDK4AEoA24FkVZS1paM1u2gMnk\nvyie29j3K0o6SUnHKC5ewoYNd0xb5yUlWUiSkbKyVdTUnGB8/Bh+v4bfrxIIBNH1EHa7nSuuSOfz\nn//4WRWl8fFxvvc9weT3wAM/oqamnmPHjvPiix4GB+3k5p5gyZJ0/P4KoJM1a9ykpWUxNtZPWloK\ng4ND0/qAxWojxP1TaG4envV7Y3MnHO5laKiEhx9ujqYZ5iDLexHpKwFuvfVL2Gx2HI5e/P6KqHIy\nvelqjNzBZKonK8tOQcEaystXR+XdZG+dWApfjERitmjQheCmmzJZurSIF188jtM5TDA4D58vl8bG\nY5jN5qjTLFaXqcXTBU2mddjtr2Gx2PnHf/zfF3QNFwuzUex7PDa6utLYvXsfTU0tqKpKJBIhJSUR\nr9cGTOBw9BCJLAVew2o1UFl5HUeO2NF1lW3bXuHOO2+P3/9jxwZO2+/er/HM9qyTkjKx2SJYrZaz\nyrOpdYFLlwbo6FiFxSKRkHCMkhIToVBGtAEybNv2Crt3ZxMKhcjL62DFimXU1u5HljtITy/gxIkl\nGAyvoShXMDx8Kp7CqSgKDz8seglOTSW9tHvjhxOKEqGl5QgGQyMihTcfIYNPIByaLsxmM2vXlpOa\n2ojHIyMc1QZgBFXtQ9eT8Hi6AT9udw/Ll5exatUwTmfGtBrC1audQM7sF/IXfKCYqwGUPMP4AUDX\n9W5Jks7bZa/r+mvAa5Ik/QJBvL4geioFkWg5C2oAhYaGP5GdvRLI/wh5LkTOssNx4IyvuPfeb9HZ\neR/Hj3tZtmxTnOln06brTsuRN5lMcYFWUgJFRaJHbYxVbWaxbiwFLhbZmSoQv/SlbO65J5933+3l\npZfGcbnGpkWSZkv1mMnUFKOafOGF63E4zAghkgs0I0kmZLmMqqoQycnVmM1rsdlKox6/6Tjb8z5X\n8e/MRocXFxcvTemDxmxKSnNzK6FQEao6BAxgsVgJh0tQ1Vzq6/u5995fEAql4HIZMJk8pKRsJBhM\nxmTyz/qZZ9tg7733W4CgMy4rW4Usy5fVuj6XTKqpOcFbb9Wh6/MQXkcf0IgosM0GwiQkJPDFL37u\nolPAj4ycZGSkiFAoJ173J1Lictm8WeS819c3smuXTiCwEE1TiESS0fV+rrmmkc2bN7J160/P2c3+\ne9/7Ps8/L7aD/v6/JTPzThob6+npySUSMeLzuYB0DAZhTHzuc5PGQ03NCfbscVNXtyzu5JkqTwKB\nAHV1wtHx7LPTa2/uvfdbGI2/oqMjgN+/jJGRUXRdQ9N8CAUkG6dzgieeOMHChatJT1+MJHWSl1dC\nTc0Jdu500dfXz6JFLmprC3n8cRd+/wZycvq5+ea8KaQsk86hqTTEs0W/54qZzqOGhhza2t5kcFDG\n7+8D8gkG36aubj0NDRoJCTIgDMLs7Cxqak7Q1DREOBwhO3sVixd/jLS0M/gU32fMJoOLioLk5Czj\nT396lTfekAmHJ7DZXChKOTAKHMXjuQUIYTKlkZ9fQElJLsPDZlyuU3R2FvHMM8Px+68oCkVF+wAu\nOYvo+ewp//ZvX6a+vvG0FNGZmCojS0qWUFLiweVyEA5fy549Y+zZ0xx9pRu3O51QqAebrYDKymGK\nilLx+W6iqysBjyeI19uHJKVSUVFFT88EtbUyVVW/JTt7gtraNCwWCzU1J+Ly5dLujR8OzKx7fu65\nbfT2jjMxsQBVzQKGEOvoemAE6AWEER0ILEKSgui6F5ECVxF9Tzt+fxKRyFJGR4289JKDu+8uIicn\nm5aWNnS9J9oTbTWVlVOdw3/BhwVzNYDOVul9XlXgkiRZdF2PVfXGIj4fAx4ENgNn6PJ5O/BrPve5\nq6J1KFedVxPOywN1AFgsk49jpiKVkJDAE088Mq3jeqznzszu11O7ZldUrGH9+ve++GKh9+rqWsbH\nBZ3tVM/a+fYkMZvNzJuXBSxGZE7uZdGiAozGUXp7cwmFbKSnv4nJtBBIRJYjvPHGzngNwfQUFZip\nSKuqSjDYFT0+nf0nFArR3S3up99fdJFTKR18VHpUTUz4OXJENIK76y6R12w0GpEkI5JUjCzbSUw8\nSSDgQFWTkSQLwaAXv38VqiohSd1YLGas1hC5ue1EIstnJYiQZZldu/ZSU3OCkhIxT2PPYjqd8fTn\nfCmcHhezaHW2Obpp03WEQrt45ZXt7N/fh6ouR3ga5yNEcBFCfNaQlJTDokWVF0RZPxMxpbq62kld\nXdZp5w0GA0ajkYYGUfwvSS5yc63IskokYkFRLCxYkHFGBqnZUptmIj19PjCOzzdIcnIFfv8K1q51\nUV6+elqtUEXFGhobBxgaauG5544RCoWm3YuamhPs3j0W77v11FM9DA218cc/vkBxcREVFWvYuvXr\n7Nt3iKqqQQ4c6Gd4eBWRiBlV7QISCQQkhobCpKeLCEtlZT7Hjg3Q1mbC759PTU0/qtqJ3z9MJGIl\nMTGVysq18fkx1Xl0pnt9tntxNswmTw0GI3b7AiCbxMQa+vtH0PUxVJUoeYCoh7n55isAkKQ8JClM\nMOjE7Z7usPogMVUGh0KCpOf7398MwB//eISJiSxkOYlQaARJWojB0Ium5QEuYASLxYqmaaiqyv33\nV1JXJ8Xncyz1UFEUbrwxDaPReE6yoEsxnpmYmpp+Nkw1Qu66awVGYwcdHR78/iycztFo9gWkp6ew\nfPlKKivHKC5OZuvWf2L37n089VQ9up6AxRLBZPKSnr4Gg8GB253LxIROZ2ctw8OR6HVOb9kwcxwf\nBsfyxb6GvXsP8tRTfTidw9x443FUVUPX/UjSYszmbiKRBoQffiHCETVZB5SXtx+/30MoVIqu+4Fu\noB1IR9NyUVUn4XAmbW2NtLTIrFoFQ0Maur6a8nIXW7Z8cdbrj+2BU3Wcy093nR2z9UW8AO60S4a5\n7rIrJUlqOMO5Jef5GZ+QJOlehMbYBfx/QK4kSQcRmuRDs7+tEdGkzhCvQ4nhbE04Lw9cDYCiTAbX\n5uI1Ly9fzeLFdYyNeVBVK1deWRmPEG3ceMdZPbazbdiz/W9qHv5sjDRnQ0yYXXnlFdTXdzMxEeSK\nK+bzne/8Ay+//Dqvvy5jNktomkYkcghVzebQITt793pobXWTmysKm8+mFJaVrSIvbzx+PBPbt7/J\n8LAwjH772z+QmXln9MzFmC+VGAxNF/gZHw68+uoO+vu98WMQKYWtrfdy8KATmy2PgYF6JMmOzZZK\nfn4Ld975GXbsCNHV5cVoNBAKBVEUhfFxjcce6+Cb34R77hHe2Nh82rv3IA8+WE9nZ5iioiDr15vO\nS/hfinQN8XkX57Nm86aazWaamlrYsyePYDCEweDCZFqIopxCpIF+EtAxGPaybl0q//iPN140T+FU\nQz/Wuyf2dyAQiPd8Wr78EzQ0eOPNTMvLN/Hssy/y6qutURrrjDNG42am+N166yfo73+K3Nxcfvaz\nJ6mpqY/fC2HASIyMjFJeXobJZIrOgyBFRfu4//6NlJe7aGkxsn17Gvv2/ScFBfORpCzAHU1pWxSv\nU3M622lpMXDihAWLpZXSUg8mk6iZ2LPHRXW1EVU1kJhoQpICzJs3QE7OjZjNRjZv1uOyrKxsFbm5\nhxkcjKBpKg0Nzej6CiwWA2vWzG7MvB+MhatXO/m7v/sRv/nN00xMaBw5YsXjMeDxCBY0q9WE3y9k\nT39/MVdfvZ7ExD1EIh4CAYnBwcHTqKI/KEyVwdu3vznt3O2338KJE0dwOgNoWgoJCWEWLUrh+PFx\ngsFEzGYrsjzA4OAo27YNcvTocXJzc7n77mKSkpIIhUJxZsWMjHLy82dv2H0px3PhTVdFKmNTUyvN\nzfloWiZr17pQ1Ux27kzH4+mmsHCcz30uny1bHomvxfr6Rnw+EyZTB4sWjZGTM48NGzRKSrawd+9e\nFEUmKyuHhASNcDhIRoaFkpIVcdnw6qtvTBuHzWY7L9bFS4lLIeedzmE6O4O4XG2kp6+msDCD7OxG\n5s3L4k9/MhOJDCHk8WQyUyzq++yzw7z+ehfj4wagD6NxNZo2H5OpH7u9hvHxDCKRa3jnHTOrVhnJ\nzy+NpqeOsHfvwVmNOLEH7qOz005RUf20Oq8PG+be6H2msfPhdBDP2QA6y7nzMu9i6W8z/v1A9Ocs\nmA8coaXlCC7XPEKhT3HzzVs4m2fz8oGg6zwblbIsy/zHfzzMCy90kZq6kKKiIxQXFxEKZWAymdi8\nWWfPHp3Gxmwef/zJ09LazoTzbTY4NQ9/rspZTJgNDNijje4Wc//9GzGZTITDV1NQcIyJib30929E\nliVkeRfvvquSlDSI378Jp9NKXV0DW7d+/YwKh81mo7R0JZqm0dTUgs1mmyZ0RDNPYRRmZKTHG8hd\nnJD/qY8sRTuIJpNPPvnLqMD+OR0dH0dRQJar6O8v4M03d5GVlY7XG8TjCSDLw6hqMrJsQ9OCvPPO\nUX7wg/tO2wB0XScUGsflGjpnWuXZ8GHwWE7H9F5ZgUCAnTv30N/fj9GYRFraELq+EEGkOYiI/qSg\n62swmdSLGv05U4RclmW+973vs2NHAlZrMqr6BqtXF1NevpqNG+/k0KEj3HXXZzAYXuPEiUyCwWJ2\n7doLCCMGRNRuZq+uuroGGhpyyMy8ky9+MZ958+adJkv27NkHCHm3ffubdHf3o2mi8WOsUelvfrMD\nr1clHFbR9VqSk5eQnp5CRsZ8JAkyMuz09IgIjtvtZnAwEfCj6yrHjh2ns7ObtrZjBINXI0lNpKam\nsXz5VSxaNIYk+dF1aGtzs3PnMAaDkc2bM/nxj6/llVe2U1VVSEdHErI8Snp6ESUlgn1rZtT40KEj\n1NVl4XQOA5O1bhdTcWtoyKGmpp7vf/8f+fKX/479++0oyiKMRjd2u42MjExGRsR8GRpy0tTUit/v\nIxIJIctujMZsVPXDwVA5VQYvWCCyFGL36vOfz2DNGjd//nMtPl8eSUlj/P3f/w0Gw9NUVTkxGo1E\nIgY0DQYGmujs/GSUffBNnnrqcX7yk5/R2WknEDDh99chSWOXPJ1rtvFcTMTISgD27NnN+Ph8enom\nKeVj81FVVSTJgCSl4/VKOJ3LGBqqZ82aTux2D4mJXRQV5XLVVet4/fUh0tKsvPzy69TXZ5OenkZe\nXhg4GR/HzIySD8IAOhfmKvNjdcg7dwbRtPkYDEZKS0v40pc28uyzLxKJJAFXIXSxSRbGGJkLQG3t\nbwkEepHlgmhj1BZkuQeTaRNC/W3Cbl8fT3mbmanzYTVuzh+Xh1EzF8x1p7Xput4KIEmSVdf1cOyE\nJElXISI4lwhOQGNsLJdQyBD3asVSTM6VgvHhRmyDmpxgM5XAXbv28pvf1NLTMwYcwOFYSG2tn927\nJfLz81i92jitOPdMOB/Bca7XzFX4VFfXMjioo6oqPp/IV48pvMPDHfh8XoaGfITDo9F7YCAYXIok\nyeTkDLBwYRmqqvLgg4/w0kse/P4Qkcgj05TqyTSf2YWO0WjEbI5tiCHcbmnadVwYFESB9eWPT37y\nE7z11p/jx08//WsCgQAPPvgI77xzlIGBQRRlPkJpdxAKadTX52M2h5HlALq+BEkyYjZ7SE72IUlX\nEAplnUbaoSgKCxe243BMAAXTnsPZ0ipnM44uVOm85578iyY3phbJK4rC//pf/8qTTz7N4GAI+ASq\n2sTw8AbADBxAEGG2A0lYLBAIbLmoESmA/v5GjhxpQ5Le4stffocrrqjglVe2s3dvHz7fMsJhFzU1\n4/T0uIAGFEXhoYcO4naPkZ3dj6al09bWzvPPH6Grq5D6+kZ0fYyysuG4MbR8uYrRaERVIRLx095+\niOeeS2HDhqtISEiIy4y6ugaysooYGenkiSeeoqWlglAojbVrG9i69RtxWZeUFMZmGyMtbYKkpEIy\nMorYvFmnrGxVtKZCYt8+uO++71Bevpeqqmq6utyAhzffVGlvDyHLedhsLSQkLCQ//xR9ffOpqzMw\nMXEQgyEXSVoBtJCauhxJMlBSotDfP0BfXy+RSB4GQz/l5Spbt/54Wrr1u+/+FIejl3A4zJEjfoaH\nA3R1TaCqKhUVa9A0dvpwyQAAIABJREFUDadzeBqRw4Uglt51+PARFGU5oo9aM35/Kh7POKKGVGNg\nYIjdu/czPj4PVbWiaSDLlg+NATRVBhuN0xtm19c3cvCgn5GRLMCC253Lk08+zf79EXR9AggiSWC3\nzyM5GbzeEKDT2elg5863KS1dSWFhAw6Hi4kJCy6XdslT/842nrkiFArhcIiO6MuXX8H69aJuKyaX\nhPKuk5MjyA9EryAPaWm5mM1tGAx52Gx2IMz4eAifz4HffwUulwO/fyGHDhnx+fbS0jKCrodpbl6I\n328lJSWEyTSK2bwgPo4Lyfa4WDiXE2yuMj9Wh1xZKVp61Nc3AgMcPNjBtm3jwGqgCpEGtwEQe2BM\nbtXUnEDTNGS5E9EsNQ3Rs03B6+1HpM25GB19iaqqTNatq6S0dCVvvbUft7ufY8fKTpMFZ28V8Be8\nH5irAfQsgvYaRK1OxZRzv5py7hJBQ9NUZuawnm8dyocXsRS1SSV66phkWWbbtlfo709DFPMG6e09\nhcuViKL043DsYmTExje+8bckJiaxYcMd05qbToXIhe3B6WynurqWrVu/floj1NmEiyBaqEfXdRYt\neoGengxycpZxPsKnri4TTWvB6z3IwEAuRmM6Dz30KAaDRE2Nis/XhhBACtAAZAKLkWWV66/XWLHC\nTG1tJgcOHMbpbAVW8Nhj2zAajVRUrAGEklBf30hnZzealorBMH1qG41GrFbRPXxw0MHJk8JWP37c\nfhHSQ+wX+P4PD9raOtC0lPgxwEMPPcp//McAwaCEYMoJI1hzyoHj6PqVRCJBRC1bDro+n0ikDqNR\nITs7jMvl5sEHf86xY8f59rf/nscff5KdO12MjKTjdDbhdo9TW5t6Xs/hQtf6bPUqF0N2TGVxijFS\nHTr0Dv/+743I8nWIzXUYER1KRTQ6TUKwIXZgsVyDzeakv7+RvLyL57n+0pey+cEP3sHhGAMq+MUv\n2ikoaMHpzENVV2Iw7MRu9yPLq2hujqDrGq2tr3HiRBKBgIWOjhEk6STgYmjICwwRCBSi6zZ6e2t4\n6qnVTEwkkZ09jCQFSUnJYWjoGQYHi3G7C/nWt+7jzjtvj5IbGMjMzMDnew2XawVerx+vdxSLJZH5\n8/PZuHEDu3bt5fnn/4Sup1NQkEpOTguynE52djpG43iUpMGFwSAUzqke2rff9uBwVOPxDOP3L8di\nKWTZshoyM120t5sYGBhBdBooQFUXAAPAOIHAIJqWw6OPPsHBg0Uoyhiwg8TE9YyMOPn61+9lwYI8\nGhra8PmG2bdvMT5fBrreQSSSjapK9Pcv5sUXx6mogPLyEXbunE7kMNtcgXM7kGy2d/B4NvLv//4a\nQ0MywtjxI9afBaezDiE7XbS2LqGtLQ1dP4aotfQgy1a6ui6hX3IOmCqDYwZDrLfNsWMDuN25QDqw\nHUnq4+RJX7TmYh2Qh67vIBB4h1AohK43AuPU1KzkySe7KSsbZckSB93dBYyM+BkZeZlnn3VOaxfx\nfoznveLFF1+mu1s4QLdte5Wvfe0r086Xlq6ktfU14CT/7/9N8OqrGrI8gsUiYTLlEQ6PYLUakaR6\nDIZCjMYFaJoTv78OXb+WSCSPqqpdwFeBMVwuNwbDEJI0RE7O8mnj2LhxA3V1otLhUtdRnQlnkvOz\nUfqf6TUwfX3FGs3+9Ke/YPduF6Oj3XR0dBOJlCOID4aBAqaqxTFdqLd3lO5uEOlxnQiDB8CPLHdF\n37eEkZGjPPDACZYs8VBe7sbhsDM2lsHOnaOsXz9dFsxsFTAXfPiyHi5PXEiuxfsc/yoANBSlEUhl\nyRKhvHw0JkKMpWfSUzeTivrkyQQ0rQuxANMR3nedoaE/4fffidNpZuFCkQ4gy2eORgga2aM4nRno\nugac3gh1tjoGERYPEgqN43B4mZiI4HL1oCh/fV4jHBvrp7NzEZFINtDD/v11wJUIFvQUxFTMRAgW\nD9CBokBvr5FPf/oW/vjH7QwPDyAiD824XD5efNHDnj31gJvR0S56e7OwWOyUl7/GDTd8bFqaXG5u\nNmNjIu+8v99NMCjmz+HDRy/CHErno0KDHYlE8PneiR4Lg6StrYNgsB9R5rcRqAcKEcqYCUmqBxR0\n/WqEUl8NBAgGZUZG2unr02hqGmPfvv00NDTR2jofh8MPnCAUykFRFrJv3yEslp9RWroyXsNxvr0q\nrryyMl7LcuWVPznr+GZjuTvX558P9u49yJNPdtPScoT8/GHuueeL/PrXv0OWNyBYAsOISE838Cpi\nHpcDJcAyEhI6CIc34Xb7SEo6zqZNX57T958JJpOJwcFcxLPKIhAYw+fzY7Ol4PV2EAgkEQik43JV\nY7fno6oyDocDn09F01R0PYTZDIqyCo9HxW4/iNmcB5gJhXoYG5uProtyzlBoOaFQNbpehqpmMzbW\nQFVVLlVVL9LTc4hgMJOEhFRSU4N4PHXI8iKs1i4SEoKMjt7G6tVXRbvW52I0ZmC3e/F6lyFJQczm\n16iu/hTV1ScYHm4nMVF4rGPPbdu2V2hq8jM2pqFpJUAqwWADdXVd2O1egsEViGL6bmA5gmGsAVhO\nMNjF6KjG6GgriuJCROe2EImEaWpaSGtrEqmpuwiHC4lEktG0CJrmBWRirduMRg3Q4xGxs2Eu3usd\nOxKoqfk57e0VhMNLEfKyCbg19mkI+RMChtH1IGINFgC16LoLYXB/8Jgqg3Nzxb4RG7uiKCxatI+2\ntmHC4QLC4WwmJvYg+JHyifW5gVI07QCxqJfPN8CBA88xNHQDkpSM01mNricApfz5zwq33noX8+fn\n8/DDPyE19eLeh9nGMxPnK1eOHq0i2h+efft2MzwsCIdirK4PP9xMU1Mi4XArfn8DmvZxIEgkMoHJ\nZEPT+gmHr2BkpBJoID3dj8ezFF3/BCKty4fYo/oQBvQImmZG1yOkpiYzNlYTH8e+fYfYuVNH13VU\n9VHWr7/ikuhW70XmTkZisygvH4mn9c72GoHp62vv3oPs3KnT0qLi9Tqi9Or1QDOizCKDmQ52gN7e\nHoLBk8CW6H9eQbB4liFkyQZEGqFOIDBAQ0MnJ0/6keX1gJG2thqOHZvHpk3XIcsyDz0kmE5vv/3W\n92Sk/1ekLr8UuHjJ5ucJSZKuRBAdaECVruv3SpJ0P/ApRArdPTOapUbRi1CQcxgfz+b3v/8jX/jC\nXR+RieCM/p60Kf/851388z//JwCf/WwpkmQkKUliYqIfqEPTPgF4CAbTkOUxVFXH4XDFmXDO1HhL\nURR8vpP4/YW4XBqqmn6Ga5pex1BaupLU1P/EYBgmIaGAQCCH862LKy930dycjK5bEJ6WBqA4erYE\noZgcByIIz3gCUIiuS+zb1wY8QXd3SpQ62AC0o2kqQ0Ot+HwJLFiQi883wsSExsQEdHQEyMqaXgT7\nwx/+GFkWAcpTp2rR9Rhrj37OOXRuQe3ko5APC9DS0kYwmBo/Bqivb0AY53mIca5GKCBvAtcBiej6\njuh5Y/RHbLiBgDX6yUEUpZC33nqVSKSCYFDDaCTKZmWmuXmIzs4AaWmHycjQo2lkk89ispeNwnPP\nbaW4eEm839Mvf/kEO3aIeVxU9AT//M//NOdxz0WOnGk+tLZW0d7uo729kAMHXiQUiiDmeiJis5wX\nvXejiM22DrACMpLkxGz2kJKST3Fx8ntWNqZeWwx2ux2xpnpJSxvnnntuxGKx8PzzndTVrQLsyLIF\ns7kFm62X+nobmiYouXXdQ15eG4qSzchIhEgkAOxEUVYwPFyBrjcgSckkJLhwu43RtCMfFouRZctc\nJCcvp7raQSCwAZAYH2/E55vAYEhE15cjSclIUicHDjzD+PgGRBT4HWw2O8FgBFluBrJxu2XS019j\nbMyCLBdFc/anemgLCAafQtMMiIaGp6L3/g6CQRlh+KxBGAMxWWMFCtG0xQwMVBEMViAcTO8C+Vgs\nBsJhjXC4Bo+nl6SkAjQtjCyfxGxWWLJEo68vgizrLFvWTlpaLrt3u6LPOZ2EhGMoSv4FUbmPjLRh\nsbiJRPwIQ+cgQjbHHC4GxNpUEI4kK5LUQHb2IG73lZjNCSxe/P40Bj0XpsrgH/7wx8AkA+PGjRu4\n664T/O53r9PZWUw47ELTliMMPh+iVi4JEdnajySBrmcCKj5fDmNjXei6hqKkICjlfQQCBvbts2My\nJQPf56mnHr+k4/nbv73ntNfMTT8ZASAUClNTI5hhq6qSWbeuktHRdsbHW6LrTwGOIZTvboqLRxgc\nLGBszIAsTwDXEgj0EgopCIU+G8E6mRp9rxnhkKnA6w3w+98/G41Sww9+8CP+4R/+hmPHqlAUhZGR\nPJqb88/j2ueOC9HdDAbDtGbOZ8JUdkAQjtzMzDQSE08QDgcIhdyI2h83Qh0eAmzx98dS8Vpbe3E4\nFITx6EFkfeQi5MUEcBThhKhEGOwHCQaTEEZRFm73fH7zmwN0dHSiaSqvv25CllM4fvz1eL3y5e/I\nv/wwVwNoQbR3jwTMn3IMYkc/H3QDm3Rdj0iS9IwkSdcDG3Vdv06SpH9C8F1vO/1t8xEbWgSoQdOy\neeONnVRVVdPY2ERGxvzLmMM+P/p7Moz+pz+9SlubiAidPNnJli3FjI2JfO/MTAu1tWnI8gQJCRlE\nIl4MBhdO55X8/vcDZ2281dTUwsREJYriwO93UFb2XdavFws+5kmZWscwvSA7meTkJMrLVfr60snJ\nyT6vgu3KyrXU1WXi9e5icHAIWS5B100IRTAJIYxzoz9uhDemEJDQ9W5qarwEAqbo67qBIBBmYiIH\nTbMzMLATg0HDYilGVTUSE0+Pxohu6IJkQtcVrFahQF111emMcTMxs8/S6SHrfKY+u8sZIh3yk9Fj\nwQLX0iID1yBSht4GvoIQHVbAgGC31IEjiMaeWYhNZASxAesID24vkYhMKJQNSKiqA0myIUn9hMMB\nLBbBjq9pKoODzbPWULS1dTA4GMJuDxDr93Ty5Klop244eTLlrOO7GMxdMzfuWC53Xt4gDocRv9+N\npuUgNsMDTBo9ZoSxrCI2zVJgAEnKwmD4HKmpbWzaZGLr1rkbcLNfm1jTX/3qUX73u7cBna9+9cZ4\n7VwwGKS1tYNwWALMmEwZ5OencOqUH0myRz3AyQwOmsjLO4iipCDLt0THEkTImGFstlRSUuQoi+X1\ngIaq7uC2276NxWKhp8eBw9GHaPxaiqZFMJla0LQBdF1B1wPIsguRApwEzMdorCEUuhrh9OrA63Wh\nKCbM5hCpqZ8gP99KvShTQNM0enq6CQYTEYbBm8DHEU6WWoSi2IWYi2mIPWRV9LgTgyEFTfMRiagI\nhWYl0ExWlk4wGMLpvAFNW01a2tuEwyrh8E1EIhIWSxUVFYLd8MYbNZqb86PkKhK6rnP8uJeurn0A\n02TGXEg+dD2f0dGj6PrJ6NhMiPU0En2FhvAbDiBINRRMpmKysjbj81VjNpsuOD3rYmGqDBbH8JOf\n7I436XzhhU6GhuYj5kE6Yp4tR8iZMMII6gcsmEzZKEoIGCEhIZP8/Fba2vzR9F0Z6CQnB4aHb0JV\nZVT14kfoZxvPe8W6dZV0dws5l56ewtCQ4Jvq7HSwbl1llORgDaJziBthCGZiNgf5zGcqefttD9XV\nB5HlUSAXRUlCyJ4ixDwPR6/VwOQ8SgQiBIMT8XGMjro4fPgowWA+uq4xOtp9QeO62DiftTNVxitK\nBs88MxzNaHGTk7OMlJRjFBSUk5i4kEDgJWQ5H2Fofx5xHyYZCmOpeO++e5QTJ95A15sRlR5ZwE6E\n0yEdQZ+dijB4WhCyfwSRMl6Momj09Azy6qsSVms3ExOit1Cs7nuuxuCF0u3/BQJzNYDuRzwxCZHn\nMhXHz+cDdF13TvlTRmgB+6J/7wa+yKwGkAGhQAA04/V+nAceqGN0tJ6+viz8/tCHpt/B3BGzISeF\ntK5LSJKwKQ0GP2Vlq3j++TFGR13MmwdlZTZ0fTE+3yDBYDZG4+RGd7bGWzFee0maz6JFBdhsttMW\n22yLq7a2Ll6kefvtV/PlL1fM+vmzIdYHxeXyEQyGCQQyCQQa0bR5CIFxEqE4RxDelQUI4REC5hEO\nB5CkzKjRNAToJCfLGAxmfD4/o6NGwIDJ1E9Cgp3c3CCrVzunKbiCxnGSZCI1NQMAu912TmFSVVVN\nbe1Y/DjWk2gSEh+VFDir1YrwcsWOQVGSEQrkACKScAThZU1HOCXmIQykQYRI6UQYhQnEjFWRkpND\nQoKdYFCJvj8J6EOSrkGWF7BiRR3f/vY/UFtbx0sv9fDWWzrl5Xu55Zab4nPoX/7lAOFwElbrfGK1\ncwUFCzGZOuPHZ8OhQ0emMSTGcCEbyq5de3nggTpcrpUsXryf7u4w4+MLmPS4piOinFXADQjj512g\nEklKxWKxYjCYKCws5fOf33zORqNzgdls5gc/uI+rr56kIY8ZlFddtZ6lSxtob28GLCxcmMhnP/sp\nPv1phcce+w01NSfweDIJhTbS19eHLNcgFC83QhEVClVqanPUG5+LWAseVHUB27Z5yM1tIRRqw2i8\nHlGL78VgSMFo9KFpp1AUF2NjdubPL8XheDdaSxZiYkLUfYjvSgK6iURuxGSyUlBwnM985jbq62Ps\nTr/gzTcPoOs3Rq9rd/Q6LIj0ny6EQd6OkCsfZ1JZcaJptQQCixGGhAthOKUzNlaKWAsNKEo6uq6T\nmDifQCCMyaSzatVKvvCFMurqGigtXUVFhQnIRlEUHnvs1wwOpuHxWKYxac097UdBUVREVGsIsa4m\nEOsOxBaaHB1rJsIR08vERICEhHwSEpZgsVjOb7JcYkyVwTFa3draMaqqqmlvP0lj4wi6bgYaMBpX\noOsOdL0CIVvHEfcgBxFxPoau27BaQ1RUGPna1/6ab3/7V+h6GkIGpSNJbtLSRGrXJz/5vUs+ntnq\nC89XrpSUrCAlRaRPLl68mGBQyN7i4slaEyHvbAhnsBU4yfLlI6xd+ze0tblxOCaYmDgKtCLLEaxW\nhVBoBUJ36kI4DzMQ97Mbi6WDJUvsNDfrxGoTdV0jHA5Fe7ZIZGZ64iQxs0WXLwTvReaeqwZUlmUe\neeRXccIIYYzkoGkqLlcX3d1NFBWp6Poi0tNTyckx0tf3MsKQiSDkRjoiVXAS99+/lQMH3mHfvhQ0\nzYTY67wIZ4kTYaznIYzNQ4h7HnMGbidW9+nzhTGbJUymMWy2k9x+++Zp0R+YjFrF7stsMuLyr3v/\ncGBOBpCu67+/WF8sSVIZYnZ4mNQeY41RZ0F/9HcmcBu1tbtYuXIjExMuZLkAt1vllVe2X9Kix0uH\n/tP+89nPfooTJw5Hj2+gqamF3l4ZrzeJ8fEI117bysKFC2hruxKTaYC0NImyshFKSpxn7f0To609\nG/PIbIvr5MlOgsHlAHR1OfjRj/75vEcX64PS3n4F4bCX9PRqjMZEFEUjPb2UoaH+KLMYwGFgPUJx\ndAH9hEI6RmM+IuxsAsa5+eYbaGmJ0NHRRUwp0/V5SFISw8MjNDRMT4GT5QiTQUoN4R2DZcv+B7Is\nx/smbdhw1Wnzp7PTQSiUFD+e6WWf7fldrli3bi0OR/OU4yaSk0sJhXajaVdgMJQQiVQjFK4UxAaT\ngcGQhyRVoWkp0Y7ZVyBSL15G3O8tgJdwOBbFS0QoMl4kaT6yDG53FZs3b6SpqYXx8XzGxydpWM1m\nM/X1jfT2rkdVA6xYUcfWrc8BYLFYSErKix+fDaFQiMbGN6PHfxX//1w2lJkb909/+guamkZwu1ux\n2QaxWhcCPQiFZRViM1yL2CBHon8vYN48lcREPwsXLqW42MOdd95+wd68qdf27LNnH9uWLZtYv/4V\nhoeXADp5eU3U1zfGm4l+5zvb8Xhq0PX+qGGyCeHRzEVEVQ4DVrzeWwgEOqK9jQajr7mJjo5OWlrG\niCmtsBS7/Q1AJRRKR2Q634yiWJGkwyQkjBOJfBphWJ1CKBktCCXThqI48HozaW1N4K23tPjYSktX\nYrUmIAwYM/CZ6P3vRBhP5QjFbwfCuZKK2HZao8/k7qiRsQez2U1aWi+QRjisoygyYptKp6+vnpyc\nfBYvPsw111zJo4/+lKNHq2loyKGhwc099+Rz0003sHPn24TD12IweEhLc1Jefk38ns897WeA1NQk\nXK40xLopQChpm6Pne6Nj0BBKrBmr1cT8+VZsNjcLFybwjW+cvS7u/cJUGSyOIRRKpLPTQVNTC7oe\ni8Z3AAuwWCyEw72IZ2pAGIARwILRuBpdt5Kb28/Wrd9g7979DA93IuaZAehndDRIKCSIaquqqrn7\n7ovbq2nmeGarLzxfubJy5XKs1pcB+OpXv0t//yBAvKlvWtoq7PbDaNo4VutyIpFjRCI+enqS8fv9\n3HNPPro+gcMxDzCj6x2EQosRKhWIdaATYyw1GIzMn59Ofr6X5uYbEBkXDkCjtbUNEaXW6ezsorq6\nlg0bruLQoSMz9r0Lw8VS4mfWS+/c6YrSeA9TXl5GZaWJd9/t5fHHw4yOmujrGyYj4yh2u0xf33JE\namwd8AZCrl3FpINBICEhga1bv87w8Mv09jYTiYQJBlcidJLrEPKmFmE8XY0woAYQa/Pa6PlsNG0h\nPp+OxaKjafM5evQ4sixPq2MNhT7BCy+440RV9933nctQp708MCcDSJKk15mMAM2Eruv6eXUCkyQp\nA/glcBdCU1oQPZWC2JlmQR+CpaMRWIAs97JmjZuiok08/XQTfr+FU6em0+1ePoj1MJq8rR/72LVU\nVm6PH5tMJqzWd9B1iVDIRH19EKfTCySRmrqKlJQB+vqWoKpnbwA3k3lEluWzehtiwmVgYAhdN553\n3c9MRCIRxscHo9cwQih0E5qmYbPtJSUlC7e7KTr+eYiNvhixqa9BpNScREwPgEwSExNZteoaNC2V\njo5mdD2R/PwEUlOTSU+fjZVNQnjNxPH4+PUA7Nixk/b2k/ziF60AqOqjp9WQFBUtwmo9FD2ejRUn\ni49KDVBCQiJWa0X0WERUCwvTGBvLZ3jYFA3bSwgjdQTxTBah6/uxWFagKBkoShuiUNsP3Bz9LWoj\nwmEZYRglIDYdOwaDh0gkSEdHIg899ChlZatITX0dgNLS2+LX1tnZzcREMpBCfr4ej+CUla2ipEQ8\nnxgr4JlQX9+I07kofvxeMHPjLi9fjaI8j6ZVEAgsJBB4BrEpehFzeBihgCcjAudWoBxZnsfHPibz\nxS/eetHyvueqVBQVFZKX58HrneDkSWhrC7BkyT4WL/ZEU24rEYZCL5JUjNmcS2JiIiaTCbc7F1VV\nCYVCJCWlsmCBlVAoF49HR1ECaFod4lkXAocwGlNJStJwuRah61kIr+kEuq4RCuUjyymIaKEdqEHI\ngM3R+9iNUDZrCQQWUVX1bnwM9fWNaNomROpKGmI9ZiHmYDHCWB9FpIiVISJxMRKKGoTCHAKWoShL\nSE5+G01bQSjkRTyvjwFJyPIqBgYiZGUtw2w2YzabZyWMAcjNzUGSJG66KWNaryRFURgYGGRszMOx\nYwPnfO5Wayn5+R6CwWYCAQ/Ck+9nslBbR+yJ49FxJqIoCXi9JjyeRBQljcOHj35IerlMl8EAVmsL\nRUUb6OrqQowDwICmJZGQYCMczkEo7w6EzLEBx1BVC6CyZIkw5L/2tW8inm0fwghaSDBYD9wJGPnD\nH/6T//N//vdFrrM4fTzvFTt27IzvSTt37qG0dLKlhclkwmg0kZxcSVraOyxb5uLoUSuRyGa8Xp2f\n/eyXVFcf5Le/fRoRJQNRk6Ii1lIGIsXLhHAsKEiSAbdbRtOCiHtqJKYOut1exL0cIxyO8PDDTajq\no1RUrInP9ak4U1Tz/SKommp4rl7tjLLTtnPTTQls2bIJs9lMdXUtExMFaBpoWjdjYyl4PD2ICI4R\nEcXJQ8iN8KzfY7PZWL36Y8ybt5zu7hq6u/sQUeR0xDwIIYz0xQjH114Eg2EEMSeXAb2EwwmEw8cx\nGG7gyJFcHnroUYxGI3v25EW/6U2czjQ6O+3s3KlTWfn+6rRzb3p6+WKuKXBXISTMs4gVBpMr/7wa\noUqSZAKeAe7TdX1YkqTjwDeABxG73buzvzMZoRwvAALY7aJu5rvf/QYWi6DVzcpaGvfkX16FZKei\nvydZ4H75yyfYvl3k5RYVPcF//+/fY/Pm59m2rR1VtRIMZuLxLOWGGwZZvjwBVV1MY+Pca6DO5ZGM\nnXc6E7BYRjCbTSxdenYl88zwAZCcnAIYUFUNr9dMONwH3IEQRNsRXqpUJlPLXAjPpw2RMgW3334r\nNpuNUCiD+vpMQCjCsZqkGItYDOnp6YyNiTQpg8GMpk0Aot6kqamFkRFRUNDUdPo0Xru2nMJCf/z4\ndC/7KaY+u8sZn/70LRw48Nvo8df4wx+e4POfz+D//t8EwuEJJElFkoLoehNC4GcBGjk5QTIyFuNw\nmFEUI0Jx7mfyviQBaRiNEqp6CE1bChRgMrmxWocIh5vx+TJoamqhomINmZlLgOk1aDffvJk33hDE\nIAsWrJ7WRPGmm8QcuFS0rbNt5lP/V1GRw4EDZhTlJGKjO4moX0hBpAwGEAr8KoSyWkU4vIDi4lvO\nSvc69fsuNvbuPUhjYza6Xo8kgd9fgvBU5lJUVMiiRXV0dmoYjUuxWCZIS9vL5z53B+vXr+Oxx37N\n229XAqDrf2bJkjz+5//8AkajiRdffJldu8YIBG4jHO4E3kXX16LrZkZGTkXvj6ifSEjoICVllPT0\nT9PaOoAo7k5GGE7jiLUf87kZovcxiKpmxe9TW1sHgYA3+j4dkQKXjIgcFEd/b8dsvgZZDgD9GAxX\nkpxsZXxcRzhZFKAZo3GAiYkr0fVsDAYHZvM6wuE3UNVSoAhdfxePp4IdO6C4+FcsX15Md7d4TqHQ\nsvjzEvJhwazPzu3uZGgozK5dymnUuDOxbNkEt932CbZvj9Dd3Y3X2xS91qYpr6pEFLmnAUZCoVac\nzvaoIWT/0DTluj0gAAAgAElEQVSznCqDxbGPwsI1rF1bzv79hxDjANjGvHnNXHfdRrZta0TMhSzE\n/iCiQYoyAOiMjrrYtWsvdrsVYeTG6jFHEIZrP5DP6OjYRSdMmjmeC0mj1TQ1vic1NrZw8GBh9Ixo\nsCv6AEXIyfkr/vqv8/nhD39EXZ1YFxkZggBG6D5Xxz6RxMRKAoF56PpJzGYdmy0Rn28eoKPrvYRC\nWfj9VuAlxDpLBYwYjUYUpQfhoEpmZKSOpiY96lyaTo4EsdYafdHeV5MRiw+CoKq8fDXl5VBX55rW\nw6i8fDWLF4/S1taLLCdhMnUjSREUxYmmjSCcByFE1Hh2VTb2fBUlm2efbcPpnEcwuAqxFlWEkdMX\n/Zx0RJeYLkQdlhHBNhdC6LBFaJqC36/Q1tZBScmK+PcUFRVSXGycksY3HRe7T+Ps+Og1PZ0NczWA\n8hC5LF+I/uwAntWFNnS+iEV9Hohamt8HDkiSdBDh5nlo9rdlIgRcM5LkQdMqeOMNKwMDX2bDhqu5\n8cY0YJS6uuzLsPPu6UxsHR2deL0Z8WOz2czKlctJS8slHA6Tnt5OYWESd9/9WW655SYCgQCPPHJh\nxd1nw7x5hRiNJjIy0lm3rmzO7xc9E4Tn/dZbl5GTU0NtbR+aVhpldxtEFBJqpKbq+P0TqGoqQpkJ\nIWgmZWCMRYtM01Idz6d/jN1uZmxMhLUtFhOaJuqZCgrW8/rrbyGmJDQ1NZz2XpPJFN9kTCbTLF72\nMzHpXZ6QpORpf99333fYtu0VenuXIbyHXei6BUmKYDS2Mn++wgMP/AenTnXx3HNuOjqyCQY1JgvS\nDQjlxsGSJYVkZGRy8KAF0FGUTPz+LoTiUkpTU1OUhCMXmG4AtbWdRNNSiEQiHDlShaomIEkStbW9\n7NsnjOvy8kNnVfZKSlaQkPBo9Phb531PZtvMp/7vm9/8O0ymp9i/P5lweD7CP6QjRKyEMCwsCAU+\nBchDVduJRDbPyhL2fikPBoOJzMyC+PwuKvJy++2TRqSqqnR2Ouju/gx5eXlcf/2C+LW0t7/JwEAX\nNtvHSUpaRGtrB5WVa/nCF+6ip6eWlpY2MjMlNmzYTF2dkZ4eP+FwLqFQH5JUiMWSTEKCztKl12Kz\ntdPeXo2qboneMxeSVIGud0fvXRoiklYG5EUJFwRb5s6dzQQC8xGRkWJE6kkOYl12YDDkMv//b+/M\nw6Sqzvz/eWvppWiW7gYaGmigRVCERmhFUDCiomJcMDFxiUZiMhPNz8S4JZJkss1kEmM2E0eTySTR\nmERNjBrFDWUTFEV2BESl2aEXeqH3pare3x/nVvXt6qrqqt6B+32eeurWrfece7b7nvOe8y6jxjFo\n0ADKyjbR0HApPl8Fqvswi2uzwz52bBUTJmTh8820VH63Ul2dQXr6HJqaDuHzvcm4cYM4fBjS0sxp\n9AsvvMThw77w9ac+dVXcUziPx0N29ikcO9aAy9XQYf+cdZYwbdpU3n67iKqqj6mvz8Pvr8MI14IZ\nZy5aFyxBIJtgcCIDB25n3Lj0PgtmGQk7D05PT6GyErKyMvF4PIwZM4aUlFRaWvzk5GTwyCN34HZ7\nWL/+Fxw6NJ6WlhpgFebk2IXIKag28MEHx7j//uf49KcX8qtf/RG/PxMjIDZbT90BlPXIBkJkfbqi\n0pWXNxqRdQAMGjTICpwMgYA5YTJ9uI1p03KZP38e06dP5YorPgvAn//8dwDGjs1j9+6PgCBDhqQx\nefJUtm8vBspITZ1KaelO62mCyyUMHjyYnJwA5eUuzML9IG63m0mTxrJ9+3uYDQijarl9+7Y2zpEi\nUVxcws6dVZSXV4TtNnsLkYLnihWrLbXUUvz+19m69X0+/ng311wzhj170tm0aSS1taUEAoM5dGg1\nJhzHdIyNYAwLDNqfrm/Z8hzFxYOpr8+lrm47RkV4DObEPBWjRleBEYxGYJbPuzAn0fXAKoJBH1u3\npnLllQu44IKluN0uvvrVH+Pz+SgsXB12EPLyy0sBwz9CXn6DwSAbNvw67Ao8NMZPDM/IvYNkbYD8\nmBC5r4hIKkYIWiUi31fVhxPM40nMCZId7wA/jZ9yBOaIfC6qNTQ11RMMKm+/nc6WLR9xxhkjuOSS\n5AJj9R+E3JS2lj0/fyxpafvD12DUeyZPXkkg4CY/fySTJkl4xzvSuLuz9gyx/g+pd0SerCSKgoIp\n5OSY3fuZM2/ke99bzJe/fCcvvZTJkCHjCAQeoalpJHAhQ4bsIyVFKSvbCOQxdmw1FRUTqKlpxuM5\nxH/+5z1J92FZWSXGNgAaG5/G5zP65keOlOByCaFgpua6Lfx+P+Xlm63raBPAWPrAo3yPYMmSVykp\nGRW+BsP4v/3t+7jnnj9QX19OQ4Of2tpTAWHAgNe48MLRXHHFZXi9XqZNW8E776TzxBNPceDA6cAC\nAoEtwCC8Xjf3338rL730Oqa93MAHBIMzMLuP5bhcEnNMBgIB6utTaW5O4eOPDzF4cBHZ2Zns2VNO\nUZHRou1ot9sEep0bvu4MQkaq69at5/DhckTcpKVdwD33fI3Nm/9GaakXswA/gtlRLKTVELkcM0lO\noKVlDE88sY709F/3iZ539Hf767YJNJdFi3KZPfscK3jyB2zYUMa8eXNZsGA+Ho+HZ555nqIiY4O3\ndGk227Yd5qabhjN/vlBVNZLMzNP5zGfO4IYbPGzcuJnm5tNYu3YdR44MorbWg8hOKisbqK8fz5Ah\n+VRWrkN1EKmpzagOoKlpIMbBRorVfsMxgs4xAJ5/fgnl5bkY4WgUZpMsi5BHNJ/vGe6990IKC2/C\n4/Hw3nv5PPtsLTCcQYPGk5q6g4qKpQwdmsuDD/4XV165gJ/97Nfs3l3FsWPTqa93I5JKerqXrKyz\nuPrqYXi9Kbjdbu6883Zuv/1uRIzqimp9Qm3eGv39nA556bJlI2lpeYXy8gaOHduJicM1FLMxZE5f\nzSZDDXAFbrebkSNrGT8+QH7+iDZzRF/DzoPLyoy9S3n5Zvz+yfz61w9QXHwLH35YT2HhPQwYkBFu\nq9/97o9s2rSVsrJLAMHtfp7s7O1UVhYDF1JSksHgwYO48carePJJNy0tJriwy5VuhYs4woQJgW73\nnBWtPp3FkSMleDxmTvJ6d5CTY4LXFhTcyIoVq62wFjkUFpoNuG3bdjJp0pcB2LZtJyNHjuTppx/j\n0kuv4eDBJmbPvo+BA7dx5EgDdXVDaGrKx5yKDQfcTJx4kHPOqSQ/fzw7d3rx+w3PFHmWq6++mg8/\nXEZLy/vY58Vo9oVg2vKpp55hx45Gqqrywjw4sr27sg7rrJrd888v4aWXMqmtHcIpp3zAT37yeSZN\n2swf/nCQsrJaVIdjeHUx5nRxLIk4NAqptT7zzPPs2pXLRx/VU1NzhIyMDFyuKsrKvKgWYtasp9Lq\ndOUoxnbSjfGY2cwHH5Rx//2ryMsbTG7uVN59dwOXXHJh2J7wsccOc+TIDlQzERHGjy8iGJxFSUkp\nS5dWHIcb/v0HSa/aRCQN4yf3eoxy90MYS+ceRjVGavZidoufJhj8iEBgLMFg6y6JOf7cht8/PLyz\n2hmJuHeFppDZU6sa1fTp08jL2x6+BvPSeTweNmzYxJYtp7NtmycpYScaOtq16i5DxbS0NKZMuSx8\n7fV6ufbahezZs5WKikqGDLmAQ4eGkp4eIC9vBuXlbior63C7h3POOW7WrfPT0NCIzzeMvXsPJP18\n4wY1YPu9EoC5c+9g+PBhbN9uNC8vu+zidmmNUf6k8PWCBfMjvOFUcaKowI0enYs5iIXRo1vjh1x5\n5QIyMjLw+/08+eQ/eO65JpqaFNWx7NmTHx6HIfuylJQUfvObUhoba2hs9NDS4iY9PZW9ew9w9OhR\nzCIOwEtKShnNzdWIlHLZZZ8MR+xesWI1K1asDi9Wduz4gPr6w6iC399MTc1hoIa5c08jP9+4cu9o\nt3v06FzKyx+3rm+JS2uHfTL3+/388Y8H2bGjiNraVPLyRtPY2MiOHR/g872D2UX0YXTJxxLSD/d4\nSgkETkH1AOYUqInDh5Wnnipvs2va0tKC3+9n6tSSmI5KugOJvtshT2tLl2axZUurneXll18S9oho\neJJRS/N4PMyceRY7dhieG/I0aa/fz372a1577SgVFWdRU7MTvz+LgQOPkplZR2rqGGpqxnD4cDGG\n5wtG6CnBLOKCGAEH6urqCARqMQu1KloFoSqMit1M0tLSwyfGfr+ff/7zRVSDjBsX5NRTx1Nbex0e\nj4eMjAy8Xi+FhdNZulQpLt7BgAFDcLtrUW3C78/izTfrWbz43HC7tXVW0553RGvzZKO/l5aWcexY\nIapBUlJq8furMCqlKQwcmElNzQAARo1yM2FCPhdfPB63291tc0R3wc6DQ26pjx2bxPbtO7nqqsu5\n556vtTGy93q9ZGRkkJ19LaZfTRqfbyBf+cqFFBXtY/PmAWRmDmHGjGnMmHEm7767lA8/PAg0MXz4\nREpK6hDZzxVXLOh2z1mR9YnmBS5RzJ07m7/9zewhT5nyCbZubVXlThRDhw7lxz/+QbgN3W4XtbUp\nNDV5ycxsAgZRXV2H253GyJEjaGw8l/ff91vecw8DwwgGlbPOms7o0RWUlTVTX/8+LpeLyy67uF37\nvfzy0rAzpYULr2DPnjVAc5gHh+hD7RLiES6Xi1jrsFjrrlhruJD6XXFxCU899QzXXrvQEviNfeja\ntWNoatqO3x+wAjabja/Dhytpbm7ECIRvYIQUIZqKXzSE3mOPx8Njjx1m1KjTycjYaD1zBmVlWRiV\n/a2Y00hjxygy1wrU+xZmLTsMv7+R4uIg9fWbgKFRw7moBti//yB1dV4CAR8LFpQBwpYtE9vROi6y\nE0eyThCewLitfhn4oaq21xfqMZRhmE0x5oj7NAKBLKCKqVPLue++m8KTcej40+PpvFTcu8eIoZgO\nracPRlXizPA1tF2wGKm/Ff190Ecrn12g27TpUoYPL+KCCwbidrt5+ul/4vfXWzq6Bcyb52fJkiBp\naed0Kq5FMOjH7MYD+GlqMm370EOP8slPXorLVQ6YSSMS06ZNJT9/a/i6vRc4w4xOBLjdbrze6vB1\nCPaxd8EFc5gw4SFeeOFlmptnMWzY0Hb5mBO/FzlyZDPV1TWY3WofbrebmTMLWb58teVO1IfHM4zm\n5gAiNeH2j+ZR6dVX30HVLBwrK/9BRsb51Ne7cLvdLF6cmFv2n//8N9TVTQ1fJwp7/V9+eSk7d37A\n7t2VeL055OXBv/71Mq++ms2xY2cDyzCulk/BHHZnAgOtuCXZGMPbfwGDCAQuY9++Zp555vmwwW60\nHd/eROS7GhIKInkOtLZLZCA/g+j8yJ6fSDGZmadRWVlMTc1uGhqu5OjRAzQ3H8IIMopRIRlOq5va\nCRgbIli+vBJzGjQIo1t/OiY+x37gVOrrT2Pp0vKwIfH27TupqsqhvHw/paUHOPXUAiZOXNfGA9+c\nObO46KL1jB3rJRCoYd++TCoraxEpJifnnDZ1WbBgPmlpbeOodSduu83HpEm38pvffIjfP4W0tHdY\nteotWlpuBISams0Y9d0gfv9SvvWt39vUgLrPY1d3wM6DzTXk57eq6MWL0aWahpn7BfBw9tmFfOtb\n97Ybcy0t96A6HphHff3LuFwDcbnSo/L17q5PNJ6VKB566NHwnPTiiy8zduyi8H/R5s5Y8729DZub\nx5Ge7ictLY8LLyxl7Ng5PPPMXkRczJ17Lrt2QUnJhxhbqSxgK8Ggn/XrN3Ho0Bqam0sRycLl8kRt\nvwcfXElRUTr5+Vu5774CFi++OByKJBTg1uv1hoO6V1cXM3DgKQwdmh0zZmNn1l0lJaXs3FnCjh2N\n7NmzFY/HExa81q59lyFDMklLa+TMM83m1erVJVbsnwDp6Wvw+5WWlnQMDzlCq2OLjhHqByPcmVOZ\nhoaDuN3g95fgdk9C9SjB4F7Aj+oIjDA/G6MVsJlgcCRNTauoqxtJRUURxkGOEQT9fj833TScjRuz\n+fvfi6itrUFkWPidCQRCminDo6pS9ydEc65g3K33HZI9AfocJgjBncCdERVSVY0fhbDLSMUIP/sw\nwtBEAoFs9u83UYtff30FGzdu5sgRVxvjsf4uHER74WLZQUD0+vR3v/DRytd+8ZQf1m81ajW7gEGs\nX7+R7dvf49RTDWO/887bO1ECP60BZ4OEjvZramp55531tLScB8A777QPZxUS1MC09+uvr7ACHoaQ\nOMPs7zC2WhPC19Hg8/mYPfscdu4cSUnJh0yfXs68eZ9rQ2NO/M5j797lmIXpctLS/Nx55zZ+9KMH\nEakEggwcWEttbQPgJhgcFm7/qqoqli//MwBXXPEl9u07YBm6m9OpxkY/KSktpKam4na7Ex77NTWh\n04LQdXt0dPrr9/spLl5NY6MXj8dPfr6fpqYWKirKLSFnMGb3rxGzgB+CUX2bizn52okxvB9NILCZ\nhobBrFs3gtdf713d+ViI9q52xEOjpYnXJ3b1O3Mq8wKrVqVRWVlMQ8MgVKdi+noPZoHvxixQ3NZ9\nY+NRXl6JOWXbhNGxr8Q4WRgDrGDAgAEMG2ack9bX17NjxweUl6+ioSGHxsZJ1NbupabmNK69lnA/\nr1nzDjt25AK5TJ1aQiCQQ27uZKZNK6ewMK9N/Xua7y5efA8tLS1kZGRYi6xP0dLyHsZVNBi7SGOD\nJOIKl6V/znl2HmzsXRYvnhEuXzQ17lA93nrrCGbOF4LBYAxbTDACUj4AjY1NBIOfIhiMzte7uz7G\nI6CZF5INym7nSw0NTW3m/nhzZyTsbXj99Vncdpux+7nzzm/g9XqZPduMiZBb63XrDrNyZQVmMW7s\np1588WWamwcCh1E9n5YWidp+O3a8QW3tSPLyzgkLHSGVLQMjwDz//BJ27x5FS0sLWVkBRCrZuHFz\neMMnEsFg0HKo0BoI2z6e58yZxdKly8P2MePHF1FefoyqqlPDedTX13PHHfeyYsUh6urycbmGc/Cg\nsn37TjIycnC5ShBpYMKEwRQXD6GsLBMj/KRjHC4lhshN6Zyc4YwdO5KVK49QWlqK11tAVpaH+vom\njh4NWg4XdmJ4lAej2ltOMDiSurpySkoyOHr0KJdf/mm2bi1m4sQ5LF58GTNmnMkbbwhwlJSUnTz9\n9DEaGmZRVuYCKtixo3XD35yK7W/nRru74zglj/7nWCFZG6Du30ZJGMMwLkvLMIawISPHcvbsyeLO\nO39HXt65iFQg4mbKlCB+/4jwTkSyk1TvTiAjrO/WARHv+f1d2EkW9vqEXHIb9YIxwAjq6w/i8/lY\nvPieLj4px/p2Yfx3wIwZs6iqOoZZWEW3AYre3lm261AAyOMfdlutgoIb49K6XMYotrAwt91EFhq/\nL79ch9lhBFiGz+dj/fpNwAWIKB7PM5h+EWAPLpdp19/97o+UlJj9lB//+KfU1AyxhAujcuL1pgGv\nA6lMnHh/wvWbMWMaRUWtfV9U1P4Qu6NdSBOzZA5ebw2ZmbvIzz+HFSveJBh0YdTeSoCnMILQLFpP\nMkJR3N/H6H/XATX4/UMoKWmJqTvfH9DdPCfynd+37xTq69Px+59FtQDw4nK1kJKSRmPjIQy/z8fw\nhCOE2kf1GOYEqISQWpzZ4BgCjMPlqqeg4Cjz5t3MAw/8khdf9NDQcD4ilbhc+/H7/VRWemLajrUN\nKv25PtlhbX/yL7TajSohXnbuuTOjpulfyGnzq6MyhurR2NgMXASAx/NyzPfC/n4PHOijoiI2X+8e\n5ET8zopK1RHs5T733JksWmQEq668/2lpae3mTHt7X3LJhdaJzWrMHGbaqqTkKKatD2LmSlfU9quq\nmkMgUEVt7cvMmfP1mOXIzx/HgAFV1NWBaiXHjk1j2TJXVA+Ireq2FWzZMjGsbhvJL0J2MZBFTs5M\nPvvZUtxud1hl+IEHfsmzzyoNDaMZMmQdOTkF5OScw7RpuTQ3N/Poo0pVlYv9+93WSd4BzLqyAeMm\nPzm0FdB+yUMPPcqrr5YiAmPHHmPTpjM4dqyUpqaPMe9vyKvhIcyGzmRUU6moGMY3vvFdSkrygOlU\nVBzm6aef5dOfvgqRSmpqPqC4+FS2bKlk5MiPws5rIlFS8mE7N9rtNVcc9LrlthiL0ZcwugoDVDUo\nIvcBV2FGwiLL2UIEqjHMJgOz4z4M4/qzGtVUDh+uR/UtxoyZiMfjpqhoL++/P9xyipC8ClvvTiD7\nre9WCbn/TmA9ixAjWb58IyUlCwA3Awa0D+qavI1WEDNezLXXaybTtLQAt9/+GT7+2Lh+vv32L3VY\nRvvpnMF+EvQC3+8RaasVC4meCGRlZXLsmOm/AQN8tLS0MGxYNh7PPtzukUydOpn165X6+kYGDWrh\n9tu/REtLC/v3H8B4uhpJUdFb1NfnY1wbm93d9PStNDbOpbHRxNBINMihsT9r7fto6Ggn94wzTmfk\nyDVkZLg577xxbN06lN27XZjJcyjG6UEWxgOVF7Np48EsKMowQlE5UIrHcz4pKc2MHNnQTnf+RES0\n99bv91uqH02MGHEGR44cIhCYwrBhUxkxYidbtqRjdmb3YE6BBmB2TsHMC4Mxp4zDMe27ByNougkE\nci21Ti9FRXtpbExHxEd6+gdkZPgIBKYxZMhupk37fLiM0VQA+wp2VaJQuZ57zsReAnC50nC7zXj2\n+fq7HWJbHhyJeEbzPl86oZOurKzMmH1if7/POGMv+/cbFbVE+HryaFufeFobHcFebp8v0On3P9nN\nE1NOxWzc7AGCVltXACMQWc3YsWOitp9qPcHgYI4dG8eaNe+EnVZE2i7effcdFBXdy7p1Qm1tJS5X\nOcOGRT9liaduGwsul7E5tLdZUdFeWloGIdJCQUE2d911TRsHTo8+uoGmJhdNTbWkp+/H622mpWUU\nxplITULPjeRl9uffe+/XKCwMucdvZN++VbjdqzCbYV7M6WEQs6bNRWQ5qqcTCLipqGgi5I3O7w+y\natVh3O4l5OTMpLy8kvp6ITV1DCNGbGHu3HMpKJhDWlpaG/VI4zY9uhttB63oC9dVFcCFWI4TRGQ4\ncIGqzhWRbwALgWfaJ8vFuBcch9kBDHnBOQtYht9/KY2NAcaNO8bBg5MoKspE5MOYbhv7l2e4ER2T\nnCQILf6++MWb+fnPjVHhDTdc244ueV1hF0ZFBkDw+cwCasKEkWEDf0hs0mjvDefE6b9EJ9BEF+k3\n3HBtm35csWI1Bw5MJC1tL5mZu5gz5zwqK49QWxvklls+x5VXLmDFitUMH34de/Z8hMjLZGT4qK8f\nilHR2IuIkJk5iEOHDPsKBqMHrouGCRPy8fmOWNcj41DG3sk1btEhK2sAkyaNYtmyj6mvPxW3+yjB\n4FZgFiJ1uN3NqH6A6hyCwRbMIuM0DN8ah9v9HOefv5/zzz+Xs88ubBMw80RF5Hs7Z84snn76WWpq\nUsjJGcI11+Szb99BNm/OZtKkU7nhhqu4/vpbaW7OwsTVqLA+ZwIH8flmUV8fxOzgvo6xD8oFBuL1\nDmDEiKawYLlw4RWsX/8CtbW1nHfe6TQ1zaasrIJLLhndpu37kwBq2qrtLvgdd3yJX/zCBMmeObOQ\nnTtbeVn/hp0Ht1cmiWx3uzrVrFlnc+SIcX0ebT4Iwf5+f+ITc5gz51ygp05S29anKye3ifOl+Eh2\n7JpyfhI4D6OW9QGzZp3Nvn0eYAjnn3+Yb33rzqj1yczcTm3tMHw+E38xpL4eabvo8/m4/vprKSp6\njdLSkWRklFFQUNpObbptmeJ7pvX7V7Bx42EgyIwZw9vRmXfdBNP+6ldva3e6m56ei8tVhWoGLtfV\nZGa+T2npDszm1QiMS+z4iLcGsTuAeOCBX1JZ6SEj43Tq69MwG2VrcbmOEQzOxeMZic83ifr603C7\nN5GRkUV5eTVmviilsnIWRUV5XHppOTfeeCVbt75PUdFeamuvYseOFGbOTGv3bLsAFs1u7MlIP8x9\nhFhBV3vLNqjXBSBVbQKarIoLRoJZaf39BsbOqJ0AlJaWRkpKJkOG7KO4uJ7mZjMBulyvAoWoptPQ\n0EhpaTHB4ASCwXLS0j4gJaWcxsar2xmI9aWv9Pa6mKGd9hPDlXJ34Nvfvo+MjK7Y/ETCTauampvp\n043Ac/bZhUlPGu3p0zhR+q67F3+R/bhmzTuIuEhNHcDAgcNJT09nyhTjpnf27FZVOuMpqIhA4BJq\najx4vWtpackEyhk2zMfMmWexZIlZMIwfn3ick7PPLmT69JXh62iItpNrN0rduNHs+ubkTGTGjFxg\nM/v2HaKuLoVgMJ+UlMOMGLGb+vrZBINH8fkG0tDQQFlZNqqNwB5EBjFq1Cncc89XufzyS/rZhkzX\nkWh9HnroUV55pZm6usEMGuRizpxz+Y//mBu259y69QgzZxayZk0LrYFOD2B88ZjYJzt3foRRHhiD\nETA/wuPxMmlSLjfeODQs3NgdFoRsIGDccdfeP/jBt8nKMgL6pEmn8pvfGI9XscZz/0FbHpwMbrjh\nMxQUhOxZYs8H9vd71qyZPTyvt61PV3hnInypJ2DGvRtzegrg5oYbPsOOHcaz4d13fypmnebN+yI7\ndrwBVPPqq9l89NHzBIOzLN4dSWtcZe/cmUkgMDFsXxpSebe/g4l4pvV4PJadHsyc2d5RTDznJB6P\nh7PPnoHIJurq6lBNZ+jQsVRWbqKlJY/W0+WuY8WK1SxbVkVVVRrDhk0gI+NVKiryyM29iiuv9LFp\n01aCwX0UF8+0grSOoLGxkfT0/TQ2zgdSSU9vZPjwYUA5Ho+HGTPOtLw8uggG/VYA3I7bsD9t7LQi\nmqDTe+YE/WHVNhijx4D1HTUS1be/PYaCggVs376TJUsa2bx5HVCNx1NATc1wVHcicoTa2ouoqdlG\nbW02tbVGV3Lfvh1hV6z9Ae11Md/us7L0V3Rk89O53baQ+2xh8eKLk0wbD07/xUJkP86bN5d169ZT\nUVFHZr7UVagAACAASURBVOZUCgqmMHNm24lq3ry5/PznvyYQKAGG09ioDB9eQUmJUfGZOtWcDrz2\n2gdAbGcN0RDp0CIaoo2t0DsbisegOhifbx2wkIKCKeTlVaJahuoxxo0rxOtV3n47G9UhTJ/+McFg\nkFWrhhMM+hk06D283hEUFt4SLsuJFrwuVn0i23bDhk2kpeUB+yksTAtP4h6Ph2XLXLz//g6amvLw\n+d7H799Kc3NoB9U4AUhNfRvj8jods3u7BdjGpz51FbfcMq+NoXXkAuB4aONFi3LbjVP7OxVykAD9\nx14sPhIPYRA5VhIJeJ3I+929SD4kQzT0frkj0VqPRD0b3nprHhs2TOeVV1rYuXMXFRWNXHddMTNn\nnhV2VBDKozXsxUqgkWnTZvUoz4u32A+Nq0WLcnnvvQ3885/bqa6uJhC4EONuf0fUdLHyab2Ojpyc\niZSXvwvUMGrUjfh8WxEpJiOjgCVL/gHAAw/8kp/97HWqqy+gpcXFqFGHKSnZh9udwkUXBUlNXcer\nr47ltde2IFJJTs5pTJtmvAdv2TKsU7GAHnnkkYRpT1T0tQCkGAvW0dbvQbQGxWmDXbu209RUQzAY\nJCNjGzk54wkGx1BScgDV9zA6le2DWDU311FRURl2zxhCNK8ioftd2Q3s3E6uYTYifd0dxw+S3c1w\nuTwEgwPC111httFO8Jy+Swxer9eKEWN276Lpynu9XubOPZeVKw/S3OxCRGhoaAAGI1KI6hF2795j\nRYc3AVKTeX6ihtf2frbzDxFB5Bi7d4/lwQdXkpdXgep48vKGMG7cHk49NZudO4fh8RygqamOkpIy\nLrtsPh9/vJa6ugpUPwe4GDJkO3PmfIGlS5ezYcMmgsHogZxPJNjbv6WlhTPOOJ2LL15Cfv5p3H33\nHYBxM/7MM89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D24M8KMRbIml/h/GNOhxoAYYBt6pqqYisUNV5tjwS7eMO+y6Rvkiy3f4K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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10b3a0e10>"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u5404\u5909\u6570\u306e\u9593\u306e\u76f8\u95a2\u4fc2\u6570\u3092\u8a08\u7b97\u3057\u3066\u307f\u307e\u3057\u3087\u3046"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "corrs = df.corr()\n",
      "corrs"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>CRIM</th>\n",
        "      <th>ZN</th>\n",
        "      <th>INDUS</th>\n",
        "      <th>CHAS</th>\n",
        "      <th>NOX</th>\n",
        "      <th>RM</th>\n",
        "      <th>AGE</th>\n",
        "      <th>DIS</th>\n",
        "      <th>RAD</th>\n",
        "      <th>TAX</th>\n",
        "      <th>PTRATIO</th>\n",
        "      <th>B</th>\n",
        "      <th>LSTAT</th>\n",
        "      <th>MEDV</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>CRIM</th>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.199458</td>\n",
        "      <td> 0.404471</td>\n",
        "      <td>-0.055295</td>\n",
        "      <td> 0.417521</td>\n",
        "      <td>-0.219940</td>\n",
        "      <td> 0.350784</td>\n",
        "      <td>-0.377904</td>\n",
        "      <td> 0.622029</td>\n",
        "      <td> 0.579564</td>\n",
        "      <td> 0.288250</td>\n",
        "      <td>-0.377365</td>\n",
        "      <td> 0.452220</td>\n",
        "      <td>-0.385832</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>ZN</th>\n",
        "      <td>-0.199458</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.533828</td>\n",
        "      <td>-0.042697</td>\n",
        "      <td>-0.516604</td>\n",
        "      <td> 0.311991</td>\n",
        "      <td>-0.569537</td>\n",
        "      <td> 0.664408</td>\n",
        "      <td>-0.311948</td>\n",
        "      <td>-0.314563</td>\n",
        "      <td>-0.391679</td>\n",
        "      <td> 0.175520</td>\n",
        "      <td>-0.412995</td>\n",
        "      <td> 0.360445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>INDUS</th>\n",
        "      <td> 0.404471</td>\n",
        "      <td>-0.533828</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td> 0.062938</td>\n",
        "      <td> 0.763651</td>\n",
        "      <td>-0.391676</td>\n",
        "      <td> 0.644779</td>\n",
        "      <td>-0.708027</td>\n",
        "      <td> 0.595129</td>\n",
        "      <td> 0.720760</td>\n",
        "      <td> 0.383248</td>\n",
        "      <td>-0.356977</td>\n",
        "      <td> 0.603800</td>\n",
        "      <td>-0.483725</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>CHAS</th>\n",
        "      <td>-0.055295</td>\n",
        "      <td>-0.042697</td>\n",
        "      <td> 0.062938</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td> 0.091203</td>\n",
        "      <td> 0.091251</td>\n",
        "      <td> 0.086518</td>\n",
        "      <td>-0.099176</td>\n",
        "      <td>-0.007368</td>\n",
        "      <td>-0.035587</td>\n",
        "      <td>-0.121515</td>\n",
        "      <td> 0.048788</td>\n",
        "      <td>-0.053929</td>\n",
        "      <td> 0.175260</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NOX</th>\n",
        "      <td> 0.417521</td>\n",
        "      <td>-0.516604</td>\n",
        "      <td> 0.763651</td>\n",
        "      <td> 0.091203</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.302188</td>\n",
        "      <td> 0.731470</td>\n",
        "      <td>-0.769230</td>\n",
        "      <td> 0.611441</td>\n",
        "      <td> 0.668023</td>\n",
        "      <td> 0.188933</td>\n",
        "      <td>-0.380051</td>\n",
        "      <td> 0.590879</td>\n",
        "      <td>-0.427321</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RM</th>\n",
        "      <td>-0.219940</td>\n",
        "      <td> 0.311991</td>\n",
        "      <td>-0.391676</td>\n",
        "      <td> 0.091251</td>\n",
        "      <td>-0.302188</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.240265</td>\n",
        "      <td> 0.205246</td>\n",
        "      <td>-0.209847</td>\n",
        "      <td>-0.292048</td>\n",
        "      <td>-0.355501</td>\n",
        "      <td> 0.128069</td>\n",
        "      <td>-0.613808</td>\n",
        "      <td> 0.695360</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AGE</th>\n",
        "      <td> 0.350784</td>\n",
        "      <td>-0.569537</td>\n",
        "      <td> 0.644779</td>\n",
        "      <td> 0.086518</td>\n",
        "      <td> 0.731470</td>\n",
        "      <td>-0.240265</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.747881</td>\n",
        "      <td> 0.456022</td>\n",
        "      <td> 0.506456</td>\n",
        "      <td> 0.261515</td>\n",
        "      <td>-0.273534</td>\n",
        "      <td> 0.602339</td>\n",
        "      <td>-0.376955</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>DIS</th>\n",
        "      <td>-0.377904</td>\n",
        "      <td> 0.664408</td>\n",
        "      <td>-0.708027</td>\n",
        "      <td>-0.099176</td>\n",
        "      <td>-0.769230</td>\n",
        "      <td> 0.205246</td>\n",
        "      <td>-0.747881</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.494588</td>\n",
        "      <td>-0.534432</td>\n",
        "      <td>-0.232471</td>\n",
        "      <td> 0.291512</td>\n",
        "      <td>-0.496996</td>\n",
        "      <td> 0.249929</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RAD</th>\n",
        "      <td> 0.622029</td>\n",
        "      <td>-0.311948</td>\n",
        "      <td> 0.595129</td>\n",
        "      <td>-0.007368</td>\n",
        "      <td> 0.611441</td>\n",
        "      <td>-0.209847</td>\n",
        "      <td> 0.456022</td>\n",
        "      <td>-0.494588</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td> 0.910228</td>\n",
        "      <td> 0.464741</td>\n",
        "      <td>-0.444413</td>\n",
        "      <td> 0.488676</td>\n",
        "      <td>-0.381626</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TAX</th>\n",
        "      <td> 0.579564</td>\n",
        "      <td>-0.314563</td>\n",
        "      <td> 0.720760</td>\n",
        "      <td>-0.035587</td>\n",
        "      <td> 0.668023</td>\n",
        "      <td>-0.292048</td>\n",
        "      <td> 0.506456</td>\n",
        "      <td>-0.534432</td>\n",
        "      <td> 0.910228</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td> 0.460853</td>\n",
        "      <td>-0.441808</td>\n",
        "      <td> 0.543993</td>\n",
        "      <td>-0.468536</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>PTRATIO</th>\n",
        "      <td> 0.288250</td>\n",
        "      <td>-0.391679</td>\n",
        "      <td> 0.383248</td>\n",
        "      <td>-0.121515</td>\n",
        "      <td> 0.188933</td>\n",
        "      <td>-0.355501</td>\n",
        "      <td> 0.261515</td>\n",
        "      <td>-0.232471</td>\n",
        "      <td> 0.464741</td>\n",
        "      <td> 0.460853</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.177383</td>\n",
        "      <td> 0.374044</td>\n",
        "      <td>-0.507787</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>B</th>\n",
        "      <td>-0.377365</td>\n",
        "      <td> 0.175520</td>\n",
        "      <td>-0.356977</td>\n",
        "      <td> 0.048788</td>\n",
        "      <td>-0.380051</td>\n",
        "      <td> 0.128069</td>\n",
        "      <td>-0.273534</td>\n",
        "      <td> 0.291512</td>\n",
        "      <td>-0.444413</td>\n",
        "      <td>-0.441808</td>\n",
        "      <td>-0.177383</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.366087</td>\n",
        "      <td> 0.333461</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>LSTAT</th>\n",
        "      <td> 0.452220</td>\n",
        "      <td>-0.412995</td>\n",
        "      <td> 0.603800</td>\n",
        "      <td>-0.053929</td>\n",
        "      <td> 0.590879</td>\n",
        "      <td>-0.613808</td>\n",
        "      <td> 0.602339</td>\n",
        "      <td>-0.496996</td>\n",
        "      <td> 0.488676</td>\n",
        "      <td> 0.543993</td>\n",
        "      <td> 0.374044</td>\n",
        "      <td>-0.366087</td>\n",
        "      <td> 1.000000</td>\n",
        "      <td>-0.737663</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MEDV</th>\n",
        "      <td>-0.385832</td>\n",
        "      <td> 0.360445</td>\n",
        "      <td>-0.483725</td>\n",
        "      <td> 0.175260</td>\n",
        "      <td>-0.427321</td>\n",
        "      <td> 0.695360</td>\n",
        "      <td>-0.376955</td>\n",
        "      <td> 0.249929</td>\n",
        "      <td>-0.381626</td>\n",
        "      <td>-0.468536</td>\n",
        "      <td>-0.507787</td>\n",
        "      <td> 0.333461</td>\n",
        "      <td>-0.737663</td>\n",
        "      <td> 1.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "             CRIM        ZN     INDUS      CHAS       NOX        RM       AGE  \\\n",
        "CRIM     1.000000 -0.199458  0.404471 -0.055295  0.417521 -0.219940  0.350784   \n",
        "ZN      -0.199458  1.000000 -0.533828 -0.042697 -0.516604  0.311991 -0.569537   \n",
        "INDUS    0.404471 -0.533828  1.000000  0.062938  0.763651 -0.391676  0.644779   \n",
        "CHAS    -0.055295 -0.042697  0.062938  1.000000  0.091203  0.091251  0.086518   \n",
        "NOX      0.417521 -0.516604  0.763651  0.091203  1.000000 -0.302188  0.731470   \n",
        "RM      -0.219940  0.311991 -0.391676  0.091251 -0.302188  1.000000 -0.240265   \n",
        "AGE      0.350784 -0.569537  0.644779  0.086518  0.731470 -0.240265  1.000000   \n",
        "DIS     -0.377904  0.664408 -0.708027 -0.099176 -0.769230  0.205246 -0.747881   \n",
        "RAD      0.622029 -0.311948  0.595129 -0.007368  0.611441 -0.209847  0.456022   \n",
        "TAX      0.579564 -0.314563  0.720760 -0.035587  0.668023 -0.292048  0.506456   \n",
        "PTRATIO  0.288250 -0.391679  0.383248 -0.121515  0.188933 -0.355501  0.261515   \n",
        "B       -0.377365  0.175520 -0.356977  0.048788 -0.380051  0.128069 -0.273534   \n",
        "LSTAT    0.452220 -0.412995  0.603800 -0.053929  0.590879 -0.613808  0.602339   \n",
        "MEDV    -0.385832  0.360445 -0.483725  0.175260 -0.427321  0.695360 -0.376955   \n",
        "\n",
        "              DIS       RAD       TAX   PTRATIO         B     LSTAT      MEDV  \n",
        "CRIM    -0.377904  0.622029  0.579564  0.288250 -0.377365  0.452220 -0.385832  \n",
        "ZN       0.664408 -0.311948 -0.314563 -0.391679  0.175520 -0.412995  0.360445  \n",
        "INDUS   -0.708027  0.595129  0.720760  0.383248 -0.356977  0.603800 -0.483725  \n",
        "CHAS    -0.099176 -0.007368 -0.035587 -0.121515  0.048788 -0.053929  0.175260  \n",
        "NOX     -0.769230  0.611441  0.668023  0.188933 -0.380051  0.590879 -0.427321  \n",
        "RM       0.205246 -0.209847 -0.292048 -0.355501  0.128069 -0.613808  0.695360  \n",
        "AGE     -0.747881  0.456022  0.506456  0.261515 -0.273534  0.602339 -0.376955  \n",
        "DIS      1.000000 -0.494588 -0.534432 -0.232471  0.291512 -0.496996  0.249929  \n",
        "RAD     -0.494588  1.000000  0.910228  0.464741 -0.444413  0.488676 -0.381626  \n",
        "TAX     -0.534432  0.910228  1.000000  0.460853 -0.441808  0.543993 -0.468536  \n",
        "PTRATIO -0.232471  0.464741  0.460853  1.000000 -0.177383  0.374044 -0.507787  \n",
        "B        0.291512 -0.444413 -0.441808 -0.177383  1.000000 -0.366087  0.333461  \n",
        "LSTAT   -0.496996  0.488676  0.543993  0.374044 -0.366087  1.000000 -0.737663  \n",
        "MEDV     0.249929 -0.381626 -0.468536 -0.507787  0.333461 -0.737663  1.000000  "
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u8868\u306e\u307e\u307e\u3067\u306f\u5224\u308a\u306b\u304f\u3044\u306e\u3067\u3001\u8868\u3092\u30ab\u30e9\u30fc\u30de\u30c3\u30d7\u8868\u73fe\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\u5f37\u3044\u76f8\u95a2\u304c\u3042\u308b\u9805\u76ee\u306e\u9593\u306f\u6fc3\u3044\u8272\u3067\u8868\u73fe\u3055\u308c\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.pcolor(corrs, cmap='bwr', vmin=-1.0, vmax=1.0)\n",
      "plt.yticks(np.arange(0.5, len(corrs.index), 1), corrs.index)\n",
      "plt.xticks(np.arange(0.5, len(corrs.columns), 1), corrs.columns)\n",
      "plt.colorbar()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "<matplotlib.colorbar.Colorbar instance at 0x113d8d908>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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YODDTuH7ffa2akKSoGrXezwOmmtllks6N6+cVKXsGIX9u2FLQdpnE3MzeIcxL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\n+QwwOS6fAKwG9knEOzxuO4J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       "text": [
        "<matplotlib.figure.Figure at 0x10c910f90>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## scikit-learn \u3067\u7dda\u5f62\u56de\u5e30\u3059\u308b\n",
      "\n",
      " \u307e\u305a\u4e00\u756a\u6a19\u6e96\u7684\u306a\u7dda\u5f62\u56de\u5e30\u3092\u884c\u3044\u3001\u5b9f\u6e2c\u5024\u3068\u4e88\u6e2c\u306e\u5dee\u3092\u30d2\u30b9\u30c8\u30b0\u30e9\u30e0\u306b\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002\n",
      " \u7dda\u5f62\u56de\u5e30\u306f linear_model \u306e\u4e2d\u306e LinearRegression \u3092\u4f7f\u7528\u3057\u307e\u3059\u3002fit \u3067\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u3092\u884c\u3044\u3001predict \u3067\u4e88\u6e2c\u5024\u3092\u8a08\u7b97\u3057\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sklearn.linear_model import LinearRegression\n",
      "lr = LinearRegression(normalize=True)\n",
      "lr.fit(boston.data, boston.target)\n",
      "predicted = lr.predict(boston.data)\n",
      "plt.hist(boston.target - predicted, bins=50)\n",
      "plt.show()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "iVBORw0KGgoAAAANSUhEUgAAAXIAAAEACAYAAACuzv3DAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGmeQS1Lj/h9JQCABazH2oQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x117807a90>"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "zip(boston.feature_names, lr.coef_)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "[('CRIM', -0.10717055656035429),\n",
        " ('ZN', 0.046395219529799095),\n",
        " ('INDUS', 0.020860239532173093),\n",
        " ('CHAS', 2.6885613993178934),\n",
        " ('NOX', -17.79575866030898),\n",
        " ('RM', 3.8047524602579923),\n",
        " ('AGE', 0.00075106170331850177),\n",
        " ('DIS', -1.4757587965198151),\n",
        " ('RAD', 0.30565503833909996),\n",
        " ('TAX', -0.012329346305269899),\n",
        " ('PTRATIO', -0.9534635546905571),\n",
        " ('B', 0.0093925127221889167),\n",
        " ('LSTAT', -0.52546663290079032)]"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "### \u6b63\u5247\u5316\u4ed8\u304d\u7dda\u5f62\u56de\u5e30\n",
      "\n",
      "RidgeCV \u3092\u4ee3\u308f\u308a\u306b\u4f7f\u7528\u3059\u308c\u3070\u3001Ridge(L2\u6b63\u5247\u5316)\u3092\u4ea4\u5dee\u691c\u5b9a\u4ed8\u304d\u3067\u5b9f\u884c\u3057\u3066\u304f\u308c\u307e\u3059\u3002\n",
      "\n",
      "Ridge \u306f\u6b21\u306e\u5024\u3092\u6700\u5c0f\u5316\u3059\u308b\u3088\u3046\u306b $w$ \u3092\u8a08\u7b97\u3057\u307e\u3059\u3002\n",
      "$$\\frac{1}{2N} \\|y - Xw\\|^2_2 + \\alpha \\|w\\|_2^2$$\n",
      "\u8abf\u6574\u3059\u3079\u304d\u30d1\u30e9\u30e1\u30fc\u30bf $\\alpha$ \u306f RidgeCV \u306e\u4e2d\u3067\u4ea4\u5dee\u691c\u5b9a\u3092\u7528\u3044\u3066\u6700\u9069\u5316\u3055\u308c\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sklearn.linear_model import RidgeCV\n",
      "rcv = RidgeCV(alphas=np.array([0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1.0]), normalize=True)\n",
      "rcv.fit(boston.data, boston.target)\n",
      "rcv.alpha_"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "0.01"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "zip(boston.feature_names, rcv.coef_)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 17,
       "text": [
        "[('CRIM', -0.10271022863565661),\n",
        " ('ZN', 0.043381103163936223),\n",
        " ('INDUS', 0.0054830659634807852),\n",
        " ('CHAS', 2.7480845085497325),\n",
        " ('NOX', -16.652015485972797),\n",
        " ('RM', 3.860449821453694),\n",
        " ('AGE', -0.00028886503301219592),\n",
        " ('DIS', -1.4137049038849401),\n",
        " ('RAD', 0.26878296104320004),\n",
        " ('TAX', -0.010573015429370438),\n",
        " ('PTRATIO', -0.9352549818745266),\n",
        " ('B', 0.00936468655028788),\n",
        " ('LSTAT', -0.51657414543985458)]"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u540c\u69d8\u306b\u3001Lasso(L1\u6b63\u5247\u5316)\u3082\u4ea4\u5dee\u691c\u5b9a\u4ed8\u304d\u3067\u8a66\u3057\u3066\u307f\u307e\u3059\u3002\n",
      "\n",
      "Lasso \u306f\u6b21\u306e\u5024\u3092\u6700\u5c0f\u5316\u3059\u308b\u3088\u3046\u306b $w$ \u3092\u8a08\u7b97\u3057\u307e\u3059\u3002\n",
      "$$\\frac{1}{2N} \\|y - Xw\\|^2_2 + \\alpha \\|w\\|_1$$\n",
      "\u8abf\u6574\u3059\u3079\u304d\u30d1\u30e9\u30e1\u30fc\u30bf $\\alpha$ \u306f LassoCV \u306e\u4e2d\u3067\u4ea4\u5dee\u691c\u5b9a\u3092\u7528\u3044\u3066\u6700\u9069\u5316\u3055\u308c\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sklearn.linear_model import LassoCV\n",
      "lcv = LassoCV(alphas=np.array([0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1.0]), normalize=True)\n",
      "lcv.fit(boston.data, boston.target)\n",
      "lcv.alpha_"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "0.01"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u4fc2\u6570\u3092\u307f\u308b\u3068\u30010 \u306b\u306a\u3063\u3066\u3044\u308b\u3082\u306e\u304c4\u3064('INDUS', 'AGE', 'RAD', 'TAX')\u3042\u308b\u306e\u304c\u5224\u308a\u307e\u3059\u3002Lasso\u3092\u4f7f\u3046\u3053\u3068\u3067\u3001\u8aac\u660e\u5909\u6570\u3092\u7c21\u5358\u306b\u7d5e\u308a\u8fbc\u3080\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\n",
      "\n",
      "\u305d\u308c\u3089\u306e\u5909\u6570\u306b\u3064\u3044\u3066\u6563\u5e03\u56f3\u3092\u4f5c\u308b\u3068\u3001\u78ba\u304b\u306b\u7dba\u9e97\u306a\u76f8\u95a2\u95a2\u4fc2\u306f\u306a\u3055\u305d\u3046\uff08\u5916\u308c\u5024\u306e\u5f71\u97ff\u3092\u53d7\u3051\u3066\u3044\u308b\uff1f\uff09\u306b\u898b\u3048\u307e\u3059\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "zip(boston.feature_names, lcv.coef_)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "[('CRIM', -0.035814470357667223),\n",
        " ('ZN', 0.013100142228700694),\n",
        " ('INDUS', -0.0),\n",
        " ('CHAS', 2.3546373801504301),\n",
        " ('NOX', -8.5675052079650484),\n",
        " ('RM', 4.2338755140970692),\n",
        " ('AGE', -0.0),\n",
        " ('DIS', -0.74338441842915803),\n",
        " ('RAD', 0.0),\n",
        " ('TAX', -0.0),\n",
        " ('PTRATIO', -0.81908903593384119),\n",
        " ('B', 0.0072753189416042982),\n",
        " ('LSTAT', -0.52099969954440617)]"
       ]
      }
     ],
     "prompt_number": 19
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.scatter(df.INDUS, df.MEDV)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 20,
       "text": [
        "<matplotlib.collections.PathCollection at 0x1035940d0>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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Y6k55cdkxCk8DhfN3dKyJlWnFMauUjsjX1Ky3tEwrybpOmm1awcmm803gUeA7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\nor24ednAO+0AAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x117b05710>"
       ]
      }
     ],
     "prompt_number": 20
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.scatter(df.AGE, df.MEDV)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 21,
       "text": [
        "<matplotlib.collections.PathCollection at 0x11c7ba590>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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ABhkfP8+unZP8evaThx9+2KOVuYs6cA6wBNzo2nYc2GI/n1L3S/EJ+/EmGbZ6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\nUVcURakQKuqKoigVQkVdURSlQvx/+jTXsbzRtokAAAAASUVORK5CYII=\n",
       "text": [
        "<matplotlib.figure.Figure at 0x1035c3910>"
       ]
      }
     ],
     "prompt_number": 21
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.scatter(df.RAD, df.MEDV)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "<matplotlib.collections.PathCollection at 0x11db89a50>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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pkEcUZu44TNZHV1cX3/72g1lfCg9OcN1Ci31y/7ysq3OMjWWXrV1PXV0wA8Zs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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11db5c910>"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.scatter(df.TAX, df.MEDV)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 23,
       "text": [
        "<matplotlib.collections.PathCollection at 0x11dda0f10>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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x+CpnfSl2nvq7gHuBO5z23cBnPPatyQcQBCud5OY6KXdgzWsWnB3EzMoUAwMD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\nnaY6AAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x11dd14f50>"
       ]
      }
     ],
     "prompt_number": 23
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u6642\u9593\u304c\u4f59\u3063\u3066\u3044\u308b\u3072\u3068\u306f ElasticNetCV \u3082\u8a66\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from sklearn.linear_model import ElasticNetCV\n",
      "encv = ElasticNetCV(alphas=np.array([0.0001, 0.0003, 0.01, 0.03, 0.1, 0.3, 1.0]), \\\n",
      "                    l1_ratio=np.array([0.5, 0.8, 0.9, 0.95, 0.99, 0.995, 1.0]), normalize=True)\n",
      "encv.fit(boston.data, boston.target)\n",
      "zip(boston.feature_names, encv.coef_)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "[('CRIM', -0.052422882256581427),\n",
        " ('ZN', 0.013229767571307456),\n",
        " ('INDUS', -0.056642579542418789),\n",
        " ('CHAS', 2.2545397276957306),\n",
        " ('NOX', -3.7655903017514341),\n",
        " ('RM', 3.4505864947903389),\n",
        " ('AGE', -0.0030697250082558983),\n",
        " ('DIS', -0.26375547328424648),\n",
        " ('RAD', 0.0),\n",
        " ('TAX', -0.0021533039435720357),\n",
        " ('PTRATIO', -0.61567102542265739),\n",
        " ('B', 0.0063601151272272552),\n",
        " ('LSTAT', -0.33050795754315432)]"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "encv.alpha_, encv.l1_ratio_"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 25,
       "text": [
        "(0.01, 0.90000000000000002)"
       ]
      }
     ],
     "prompt_number": 25
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 25
    }
   ],
   "metadata": {}
  }
 ]
}