mnist-convnet-lasange.ipynb

mnist-convnet-lasange.ipynb

{
 "metadata": {
  "name": "",
  "signature": "sha256:67c0473c3f7c36fa17f3789c530486e5a83f3af135acf5cf44625f2f34b8947b"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "from __future__ import print_function\n",
      "from __future__ import division\n",
      "import cPickle as pickle\n",
      "import sys\n",
      "sys.setrecursionlimit(100000)\n",
      "from datetime import datetime\n",
      "from collections import OrderedDict\n",
      "\n",
      "# Ensure we are on GPU\n",
      "import theano\n",
      "assert theano.config.device == 'gpu'\n",
      "\n",
      "import pandas as pd\n",
      "import numpy as np\n",
      "from sklearn.utils import shuffle\n",
      "from sklearn.base import clone\n",
      "from sklearn.metrics import confusion_matrix\n",
      "from skimage.transform import rotate\n",
      "\n",
      "import seaborn as sns\n",
      "import matplotlib.pyplot as plt\n",
      "%matplotlib inline\n",
      "\n",
      "from lasagne import layers\n",
      "from lasagne.updates import nesterov_momentum\n",
      "from lasagne.nonlinearities import softmax\n",
      "from nolearn.lasagne import NeuralNet\n",
      "from nolearn.lasagne import BatchIterator\n",
      "from nolearn.lasagne import negative_log_likelihood\n",
      "\n",
      "Conv2DLayer = layers.cuda_convnet.Conv2DCCLayer\n",
      "MaxPool2DLayer = layers.cuda_convnet.MaxPool2DCCLayer\n",
      "\n",
      "TRAINING_CSV = './data/train.csv'\n",
      "TESTING_CSV = './data/test.csv'\n",
      "\n",
      "BATCH_AMOUNT = 32\n",
      "IMAGE_WIDTH = IMAGE_HEIGHT = 28\n",
      "\n",
      "class EarlyStopping(object):\n",
      "    def __init__(self, patience=100):\n",
      "        self.patience = patience\n",
      "        self.best_valid = np.inf\n",
      "        self.best_valid_epoch = 0\n",
      "        self.best_weights = None\n",
      "\n",
      "    def __call__(self, nn, train_history):\n",
      "        current_valid = train_history[-1]['valid_loss']\n",
      "        current_epoch = train_history[-1]['epoch']\n",
      "        if current_valid < self.best_valid:\n",
      "            self.best_valid = current_valid\n",
      "            self.best_valid_epoch = current_epoch\n",
      "            self.best_weights = [w.get_value() for w in nn.get_all_params()]\n",
      "        elif self.best_valid_epoch + self.patience < current_epoch:\n",
      "            print('Early stopping.')\n",
      "            print('Best valid loss was {:.6f} at epoch {}.'.format(\n",
      "                self.best_valid, self.best_valid_epoch))\n",
      "            nn.load_weights_from(self.best_weights)\n",
      "            raise StopIteration()\n",
      "\n",
      "class AdjustVariable(object):\n",
      "    def __init__(self, name, start=0.03, stop=0.001):\n",
      "        self.name = name\n",
      "        self.start, self.stop = start, stop\n",
      "        self.ls = None\n",
      "\n",
      "    def __call__(self, net, train_history):\n",
      "        if self.ls is None:\n",
      "            self.ls = np.linspace(self.start, self.stop, net.max_epochs)\n",
      "\n",
      "        epoch = train_history[-1]['epoch']\n",
      "        new_value = float32(self.ls[epoch - 1])\n",
      "        getattr(net, self.name).set_value(new_value)\n",
      "        \n",
      "def float32(x):\n",
      "    return np.cast['float32'](x)\n",
      "\n",
      "def load_data(test=False, scale=True):\n",
      "    half_pixel_value = 255 / 2\n",
      "    filename = TESTING_CSV if test else TRAINING_CSV\n",
      "    df = pd.read_csv(filename)\n",
      "    df = df.dropna()\n",
      "    \n",
      "    if test:\n",
      "        X = df.values\n",
      "    else:\n",
      "        X = df.drop(['label'], axis=1).values\n",
      "    \n",
      "    if scale:\n",
      "        X = (X - half_pixel_value) / half_pixel_value\n",
      "    X = X.astype(np.float32)\n",
      "    \n",
      "    if test:\n",
      "        y = None\n",
      "    else:\n",
      "        y = df['label'].values\n",
      "        y = y.astype(np.int32)\n",
      "        \n",
      "    return X, y\n",
      "\n",
      "def load_data_2d(test=False, scale=True):\n",
      "    X, y = load_data(test=test, scale=scale)\n",
      "    # (color_channel, width, heigth)\n",
      "    X = X.reshape(-1, 1,IMAGE_WIDTH, IMAGE_HEIGHT)\n",
      "    return X, y\n",
      "\n",
      "def save_net(net, filename):\n",
      "    with open(filename, 'wb') as f:\n",
      "        pickle.dump(net, f, -1)\n",
      "\n",
      "def load_net(filename):\n",
      "    return pickle.load(open(filename, 'rb'))\n",
      "    \n",
      "def plot_sample(x, y, y_pred=None, reshaped=True, fig=plt.figure(figsize=(8, 8))):\n",
      "    if not reshaped:\n",
      "        x = x.reshape(-1, IMAGE_WIDTH, IMAGE_HEIGHT)\n",
      "    if y_pred is not None:\n",
      "        xlabel = 'actual {}, predicted {}'.format(y, y_pred)\n",
      "    else:\n",
      "        xlabel = 'actual {}'.format(y)\n",
      "    fig.set_xlabel(xlabel)\n",
      "    fig.imshow(x[0], cmap='gray')\n",
      "\n",
      "def plot_samples(X, y, y_pred=None, amount=25, grid=(5, 5), random=True, reshaped=True):\n",
      "    fig = plt.figure(figsize=(8, 8))\n",
      "    fig.subplots_adjust(left=0, right=1, bottom=0, top=1, hspace=0.35, wspace=0.35)\n",
      "\n",
      "    if random:\n",
      "        indices = [int(np.random.sample() * X.shape[0]) for x in range(amount)]\n",
      "    else:\n",
      "        indices = range(amount)\n",
      "\n",
      "    for i, index in enumerate(indices):\n",
      "        ax = fig.add_subplot(grid[0], grid[1], i + 1, xticks=[], yticks=[])\n",
      "        pred = y_pred[index] if y_pred is not None else None\n",
      "        plot_sample(X[index], y[index], y_pred=pred, fig=ax, reshaped=reshaped)\n",
      "\n",
      "    plt.show()\n",
      "\n",
      "def plot_loss(net):\n",
      "    train_loss = np.array([i['train_loss'] for i in net.train_history_])\n",
      "    valid_loss = np.array([i['valid_loss'] for i in net.train_history_])\n",
      "    plt.figure(figsize=(8, 8))\n",
      "    plt.title('training loss vs. validation loss')\n",
      "    plt.plot(train_loss, label='train')\n",
      "    plt.plot(valid_loss, label='valid')\n",
      "    plt.legend()\n",
      "    plt.xlabel('epoch')\n",
      "    plt.ylabel('loss')\n",
      "    plt.yscale('log')\n",
      "    plt.show()\n",
      "\n",
      "def write_submission_csv(net, twod=True):\n",
      "    if twod:\n",
      "        X_test, _ = load_data_2d(test=True)\n",
      "    else:\n",
      "        X_test, _ = load_data(test=True)\n",
      "    y_pred = net.predict(X_test)\n",
      "    image_id = np.linspace(1, len(y_pred), len(y_pred)).astype(np.int32)\n",
      "\n",
      "    predictions = []\n",
      "    for i in range(len(y_pred)):\n",
      "        predictions.append((image_id[i], y_pred[i]))\n",
      "\n",
      "    submission = pd.DataFrame(predictions, columns=['ImageId', 'Label'])\n",
      "    now_str = datetime.now().isoformat().replace(':', '-')\n",
      "    filename = 'submission-{}.csv'.format(now_str)\n",
      "    submission.to_csv(filename, index=False)\n",
      "\n",
      "    \n",
      "def augment_by_rotate(X, y, amount=1000, max_rotate=15):\n",
      "    indices = np.random.choice(X.shape[0], amount)\n",
      "    X_aug = np.copy(X[indices])\n",
      "    y_aug = np.copy(y[indices])\n",
      "\n",
      "    for x in X_aug:\n",
      "        degree = np.random.random() * 2 * max_rotate - max_rotate\n",
      "        x[0] = rotate(x[0], degree)\n",
      "    \n",
      "    return X_aug, y_aug"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c44782c90>"
       ]
      }
     ],
     "prompt_number": 321
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "X, y = load_data_2d()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 322
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot_samples(X, y)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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xeDxc93aXcGq326hUKjy+QyKT64dqTGlcEs26KxaLePbsGebzOVwuFwsnh8OB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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c4505b810>"
       ]
      }
     ],
     "prompt_number": 323
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# net1 (simple 1 hidden layer)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "X, y = load_data()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 324
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "net1 = NeuralNet(\n",
      "    layers=[\n",
      "        ('input', layers.InputLayer),\n",
      "        ('hidden', layers.DenseLayer),\n",
      "        ('output', layers.DenseLayer)\n",
      "    ],\n",
      "\n",
      "    input_shape=(BATCH_AMOUNT, X.shape[1]),\n",
      "    hidden_num_units = 100,\n",
      "\n",
      "    update=nesterov_momentum,\n",
      "    update_learning_rate=0.01,\n",
      "    update_momentum=0.9,\n",
      "\n",
      "    regression=False,\n",
      "    output_num_units=10,\n",
      "    loss=negative_log_likelihood,\n",
      "    output_nonlinearity=softmax,\n",
      "\n",
      "    max_epochs=1000,\n",
      "    verbose=1\n",
      ")\n",
      "\n",
      "net1.fit(X, y)\n",
      "save_net(net1, 'net1.pickle')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "  InputLayer        \t(32, 784)           \tproduces     784 outputs\n",
        "  DenseLayer        \t(32, 100)           \tproduces     100 outputs\n",
        "  DenseLayer        \t(32, 10)            \tproduces      10 outputs\n",
        "\n",
        " Epoch  |  Train loss  |  Valid loss  |  Train / Val  |  Valid acc  |  Dur\n",
        "--------|--------------|--------------|---------------|-------------|-------"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     1  |  \u001b[94m  0.489274\u001b[0m  |  \u001b[32m  0.312230\u001b[0m  |     1.567029  |     90.86%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     2  |  \u001b[94m  0.266470\u001b[0m  |  \u001b[32m  0.252109\u001b[0m  |     1.056965  |     92.73%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     3  |  \u001b[94m  0.213101\u001b[0m  |  \u001b[32m  0.216705\u001b[0m  |     0.983369  |     93.80%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     4  |  \u001b[94m  0.178368\u001b[0m  |  \u001b[32m  0.195078\u001b[0m  |     0.914343  |     94.28%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     5  |  \u001b[94m  0.154017\u001b[0m  |  \u001b[32m  0.181663\u001b[0m  |     0.847819  |     94.70%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     6  |  \u001b[94m  0.135809\u001b[0m  |  \u001b[32m  0.170246\u001b[0m  |     0.797719  |     94.94%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     7  |  \u001b[94m  0.121463\u001b[0m  |  \u001b[32m  0.161895\u001b[0m  |     0.750259  |     95.27%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     8  |  \u001b[94m  0.109607\u001b[0m  |  \u001b[32m  0.155006\u001b[0m  |     0.707116  |     95.39%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     9  |  \u001b[94m  0.099742\u001b[0m  |  \u001b[32m  0.149898\u001b[0m  |     0.665400  |     95.54%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    10  |  \u001b[94m  0.091210\u001b[0m  |  \u001b[32m  0.146670\u001b[0m  |     0.621869  |     95.73%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    11  |  \u001b[94m  0.083914\u001b[0m  |  \u001b[32m  0.142178\u001b[0m  |     0.590205  |     95.88%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    12  |  \u001b[94m  0.077384\u001b[0m  |  \u001b[32m  0.138243\u001b[0m  |     0.559768  |     95.93%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    13  |  \u001b[94m  0.071597\u001b[0m  |  \u001b[32m  0.135775\u001b[0m  |     0.527324  |     95.93%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    14  |  \u001b[94m  0.066489\u001b[0m  |  \u001b[32m  0.133017\u001b[0m  |     0.499855  |     96.11%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    15  |  \u001b[94m  0.061792\u001b[0m  |  \u001b[32m  0.131215\u001b[0m  |     0.470919  |     96.14%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    16  |  \u001b[94m  0.057633\u001b[0m  |  \u001b[32m  0.129577\u001b[0m  |     0.444779  |     96.24%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "    17  |  \u001b[94m  0.053995\u001b[0m  |  \u001b[32m  0.128858\u001b[0m  |     0.419032  |     96.24%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
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        "   968  |  \u001b[94m  0.000103\u001b[0m  |    0.178105  |     0.000578  |     97.43%  |  0.3s"
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       "text": [
        "\n",
        "   969  |  \u001b[94m  0.000103\u001b[0m  |    0.178110  |     0.000577  |     97.43%  |  0.3s"
       ]
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       "output_type": "stream",
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       "text": [
        "\n",
        "   970  |  \u001b[94m  0.000103\u001b[0m  |    0.178148  |     0.000576  |     97.43%  |  0.3s"
       ]
      },
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   971  |  \u001b[94m  0.000102\u001b[0m  |    0.178157  |     0.000575  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   972  |  \u001b[94m  0.000102\u001b[0m  |    0.178189  |     0.000574  |     97.43%  |  0.3s"
       ]
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   973  |  \u001b[94m  0.000102\u001b[0m  |    0.178198  |     0.000574  |     97.43%  |  0.3s"
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   974  |  \u001b[94m  0.000102\u001b[0m  |    0.178223  |     0.000573  |     97.43%  |  0.3s"
       ]
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   975  |  \u001b[94m  0.000102\u001b[0m  |    0.178243  |     0.000572  |     97.43%  |  0.3s"
       ]
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   976  |  \u001b[94m  0.000102\u001b[0m  |    0.178267  |     0.000571  |     97.43%  |  0.3s"
       ]
      },
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   977  |  \u001b[94m  0.000102\u001b[0m  |    0.178277  |     0.000571  |     97.43%  |  0.3s"
       ]
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   978  |  \u001b[94m  0.000102\u001b[0m  |    0.178299  |     0.000570  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   979  |  \u001b[94m  0.000102\u001b[0m  |    0.178315  |     0.000569  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   980  |  \u001b[94m  0.000101\u001b[0m  |    0.178338  |     0.000568  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   981  |  \u001b[94m  0.000101\u001b[0m  |    0.178355  |     0.000568  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   982  |  \u001b[94m  0.000101\u001b[0m  |    0.178374  |     0.000567  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   983  |  \u001b[94m  0.000101\u001b[0m  |    0.178404  |     0.000566  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   984  |  \u001b[94m  0.000101\u001b[0m  |    0.178404  |     0.000565  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   985  |  \u001b[94m  0.000101\u001b[0m  |    0.178426  |     0.000565  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   986  |  \u001b[94m  0.000101\u001b[0m  |    0.178458  |     0.000564  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   987  |  \u001b[94m  0.000101\u001b[0m  |    0.178468  |     0.000563  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   988  |  \u001b[94m  0.000100\u001b[0m  |    0.178490  |     0.000563  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   989  |  \u001b[94m  0.000100\u001b[0m  |    0.178506  |     0.000562  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   990  |  \u001b[94m  0.000100\u001b[0m  |    0.178532  |     0.000561  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   991  |  \u001b[94m  0.000100\u001b[0m  |    0.178546  |     0.000560  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   992  |  \u001b[94m  0.000100\u001b[0m  |    0.178564  |     0.000560  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   993  |  \u001b[94m  0.000100\u001b[0m  |    0.178591  |     0.000559  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   994  |  \u001b[94m  0.000100\u001b[0m  |    0.178609  |     0.000558  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   995  |  \u001b[94m  0.000100\u001b[0m  |    0.178635  |     0.000557  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   996  |  \u001b[94m  0.000099\u001b[0m  |    0.178637  |     0.000557  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   997  |  \u001b[94m  0.000099\u001b[0m  |    0.178668  |     0.000556  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   998  |  \u001b[94m  0.000099\u001b[0m  |    0.178676  |     0.000555  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   999  |  \u001b[94m  0.000099\u001b[0m  |    0.178700  |     0.000555  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "  1000  |  \u001b[94m  0.000099\u001b[0m  |    0.178717  |     0.000554  |     97.43%  |  0.3s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n"
       ]
      }
     ],
     "prompt_number": 330
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "y_pred = net1.predict(X)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 331
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot_samples(X, y, y_pred=y_pred, reshaped=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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G9e4sFgt/fyKR4MMpHYjD4TD8fv8LlitVYN3FmrJsNlpcqRYKNQU0mUxyVpiw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1ZXV/H1X//1+MZv/MZLxdX+/j4ASBQMAKbT6b27+N92JpMJOp2OiKtYLAa73Q6fzyejVGw2G1qt\nFjKZjNTkAdBC+IZg04jT6YTH45kTV263GxaLRSLD5XIZ1WoV9Xr9XophLa40dwY18uTxeBAIBBAM\nBrG+vo7t7W188MEHePjwoaSUAoHApc+lphsoniiUFlOH/JPCijdkdiW63W7ttfOGMApos9kQDoeR\nTqexu7uLx48fI5lMyoOCSo0SMt3j9Xrl3yxgHw6HCAQCcx2GFosF4/EYdrtdPiePHz+WmjuKK64f\nC6TZxWS1WqUAV7M8ptOpRKbq9TrcbjcCgQBmsxmcTieCwSAcDgfi8TjC4bA0rFxUb6dZDtz0ejwe\nBINBxGIxpNNpbGxsYDAYoF6vo1KpIJ/Pz0Wt7ou3lYoWV5o7g3pD5oyqtbU17O7u4sGDB0in0wgG\ng+LG/jLG47F0hPGGyoda26FisVjgcDjgdrvh9/sRCoUkddXr9cQW4L5dJK4Dp9Mp4nh1dRWbm5vY\n2NjA2toagsGgNBIs2iUAn0UTVesEfl1t32c9ViQSwcrKCiwWCz788EMkk0mxdbDZbPKz/D3cca+v\nr6PVasFut2MwGOiu0BtgNptJLZw6EsVms0kDg9vtliYFp9OJ0WgEq9V6w0f+fmK1WuH1eqW2MRqN\nyjW50+mgVqshk8kgk8mgWq1iMBjc2+ulFleaOwFvnIwcxeNx7O7u4qOPPhIH51QqhVAoJG32l8EL\ndr/fR6vVwmg0kiiGw+GAy+WSzjL1ps5d2Ww2E7+rWCyGZDKJer2O6XQqnWaal+N0OhEOh5FKpbC1\ntTUnrpxO51wqV40gXjRfTo0+2mw2BAIBOJ1OWZvV1VXs7u5iNpthY2NDxNVlEUqv1yviqtvtYjAY\noFqtLv9N0sw1GqhNBTwX6fxNgeVyuTAYDLS4uiHoTReJRJBKpURceb1eTCYT1Go1HB0dSYegFlfX\njGrux53ku6Duai8a8HlfF/M+og5v5e7U7XYjlUphd3cXX/d1X4fNzc25ETeLqOvOz0O/35cp7P1+\nXy7OHo8Hs9kMNpvthU5ARs4sFgu8Xq94ZcViMSm+1TVYrwfTOqlUSiKQq6ur4pa/6E/Fry0affKh\nCiSmJOio32630W63MZlM4Pf7pTBe/T28Gasjk9LpNFqtFkql0oXzJzXXy+J6qx2AFMZWq1XS9Kp3\nmT4PbwabzQafzyfpwFgsJufbaDQS65psNotarXavfcluhbjyeDxYWVnB6uoqksnkG7fLL+5o+/2+\npGja7TYajYbkdtXCVc3tZrFFPxKJIBqNIhKJ4NGjR9jZ2UEikZAuoYuEudpG3+v1pHW7XC7j9PQU\np6en6PV6YnRHszu2DS8+pyr2uBngxkBf0N+NyzY/jErR24gp2E6ng3a7jV6vN5fKpejlcFin0ykt\n4C6XS9Z0MQrG6wg7BPk7BoOBruG5AVRfMo/HA6fTKRHpyWSC0WiE8XgsnaK04Oj1enq9lohaC+ty\nuRCNRrGxsSH1r6PRCKenpzg5OUE+n0epVEKtVkO3273X63QrxJXb7cb29ja++MUv4vHjx3LTelVo\n96Kb2Ww2E88bdplks1lYrVZxX+YFVHO7oYkgo0Orq6tiDrq+vo719XURV+qFl6gRjtFohEajgUql\ngmq1imw2i/39fRwcHKDdbiOdTouFA9N+iURi7vkWhZUWV1fHRcKKgod/H41GaLVacn5XKhWUy2U0\nGo255gLWV/l8PrhcLilqn81mcDgcsNlslworGpDSAfw+zjy7KzBSzBEqFMZsUKAje6fTQavVQrPZ\nRKvVwnA4vNc37duIml2IRCJYX1/H7u4ubDYbhsMhcrkccrkcCoUCisUi6vX6vd+03Apx5fF4sL29\njW/6pm/Ct33bt0ltzatShGp0S704FwoFiUrs7e3BarXKaAwtrO4ODDHTGPTBgwfyiEajEmnizfMi\nccMW+uFwKEaDJycneP78OT755BM8efIEzWYTW1tb2NraQrfblRb/y9LHF0WvtLi6WtTzme8rxVWp\nVEIul5PdcKlUEg8kv9+P6XQKv98v0UfW5xB1nRZ/z2LkijVX+pqxfF4VuaIAZuSKxrG67GO5LJZu\nRKNRrK+v48GDB6jVaqjVaigWizg9PZ2LXN33dboV4krNxT59+nTuQqkOcVU9hlRTSMLFCofDGI/H\n0kLNiyQAVKtV6VLQ3E5Uh99wOIyVlRXs7u5iY2MDKysrSCQS4n/EjjK1PoNp39FoJGZ15XIZhUIB\n+Xwe+Xwe2WwWuVwOjUYDg8FAXLzZ0n+Rw7MaBet0Omg2m6hWqyiVSmg2m/e6OHPZUOgwpTudTtFo\nNJDL5fD8+XOcnJyg2Wyi0WhgMpmIGzTHa6gp3cVOw4t+j5pqPD4+xsHBAQ4PD8WOod/vL/X1v6+w\nC9DhcMjUBT5Yu2OxWGSzxHOb55/2t1o+rE/lzFY+AoEAGo0Ger0eKpUK6vW6mIW+D+t0K8TVYDDA\n6ekpvvrVr2IwGCCRSCCRSCCZTEp7LX2FWIPDji5GDNQdqMvlQjgcht1uF3HFG5/VakWv1xNzQM3t\nQl1Thphpt5BOp5FIJBAKheRzoaaOKaw4uLfT6SCTyWB/fx/7+/sitKrVqvzZ7/flhqsWzV4UOWG6\niF2G1WoVxWIR+Xxearm0uHo7LuoIZIpuNBphNBqhXq8jm83CNE1ks1kR4ayzSqfT2NzcRDKZRCgU\nmksTXyaq+PdOpyMpi/39fTx79gx7e3s4Pj6WG4Tm+mGdpc/nQzQaFad+DlmnuOr3+6jX68jn8ygW\ni9L1q1k+dGP3+/0Ih8MIBoPw+/3SBNLr9VCtVtFsNtHv998LYQXcInGVy+UwmUxQLpdllEm/35cI\nBU0jAcw5ZF90M2Mbt9/vB3BW4M48PIuZNbcTNcTMyBVTgixoZyeYKqzVriKmC5rNJrLZLD7++GN8\n+ctfRq1WkxEpvV5Pbtput3su6nWZwOJz93o9tFot1Go1lEol5PN5aRfX4urtuUhgUVzxZkpxdXx8\nLEXrsVhMOg93dnak9ZudnYtrctHv6Xa7KBQK2N/fx6effornz59jb28PuVzuXrpH31ZsNpt0e1Jc\n8aF6ntGQkuKq2WxqcXVDUFwFAgGEQiEx8fV4PAC0uLpRxuMxms2mDHQcjUZS88BForhinY3P55NU\nIR1hOdRVNQdkijEQCIiafpkHkuZmUUPMLGRnFNPv90uRshqJoOBhN2C9Xhcn4KdPn2Jvbw9HR0ci\nqnq93lwNjWrNwIsAC5lVm5DFAvnBYCDpJM27c1FR+3A4lE6wYrEo4zJ6vZ44c6+vr0u6OBKJSH3O\nYkOMmmakdQbX7+DgAHt7e9jb28PBwQFOT09RrVbRbreX+h6876jiKhwOIxAISKZC/VyoNVfcKL0v\nN+3bBgMZvFaznIflE7VaDfl8XjoE35f6xVuhMji+otPpYDqdwmKxSISJ3T4Oh0PCjqFQCH6/X0ZX\nuN1u6SK7rCVfczfgiRoMBpFMJhGPxxGJRBAMBiUtsEi/35fp6sViEYVCQeqrTk5OcHJyglarhX6/\nf2F0aTKZoNVqiYBaX1+XCwFrv17l+K65GhbXhvUarJVrtVoyVzCZTGJ3dxePHj3CysoKYrGYbJ4o\nrNTnY+SRlg7sYMrlcjg5OUE2m0U2m0WxWBSDQ81y4VBmuvd7PB7Y7XYdEb7FqJ51qVQKPp8Pk8lE\nauLYsV8ul8Vv7n3gVogrXvTYpcMLKkdUMBxMV+xwOAy/3y+mkn6/H5/73OfgdruRTqe1uLrDOBwO\nMaFTxVUoFJKI5GL9DMUVrRWOj4/FqI5Fyp1OZy7lpzIej9FqtaSwfXd3V4oveaPW0c7r5aKbJwvN\naZ2hiiufz4dkMomdnR08fvxYbsZqu/5iswvtHJgyZgPNkydPUCwWZZhsu92W0Uia5aKmmFRxpaKF\n1u2CzSTpdBrpdBo+nw/T6VQyAezQ5jX2fUmx34o7xmw2m6truCzNog7rVTsSOKqCo0dUV3YWIPMG\nq9uqbx9qN2goFBLX7q2tLaRSKYTDYcnfE/rcjEYjlEolZLNZ7O3t4dmzZzg6OsLR0RFOTk5e6/fz\nc8LPX6fTQb/fx2g0ulSQad4N1lJ1u11J+1WrVZTLZWlg4UBldn5aLBb4/X4ZX7OxsSFjc9TxRYTX\nFTY4MPVLZ/7nz5/jyZMn+OpXvyr1eLp252ZhWpCbaK/X+8KaAvNjcRbnDmqWi8PhQCAQEPNln88H\nANJRXa/XpXnofbqW3gpx9bowstVut2G326WTZHNzE/F4HD6fDxaLRS7G7DAqFArIZDI4Pj5GuVzW\nnT+3DEYf/X6/FK8/fPgQOzs72NjYQDAYfOFnWq2WdPwdHR3BNE08f/78rdaYqT8OE/b5fHC73WL5\noT2srp7hcIh6vS7pO5vNhtFohGaziWQyKaau9KsCgGg0KvYLdrsdDx48uHAIs9rg0G63JSrFzwsN\nSDlAtlarycZL1+3cLHa7XaYxxGIxMQhehM1JrVZLb5pvGIqreDyORCIhzWbcsL6vG9Q7J65YN0ND\nOVVceb1ece9liofi6ujoCMfHx6hWq7oA+ZbhdrsRiUSQSCSws7ODjz76CI8fP8bW1pZ0nyzSbrdx\nenqKw8ND7O/vz3V3scj1dWFnIgtp6Qat55RdH+z2YhkADUIrlQo+/PBDOBwOJBIJ+Hw+pNNpBINB\n9Ho9SddZrVbpFlwcwqxGr1utFrLZrAhvCq1SqTRnPMlRKu/bDeC2wbIAbpzVOZAq4/EY/X5f5kZq\nYXxzUFyx8YiBDY63Ubuv36fz686JK6YTBoMBXC4XYrEYNjY2JHJltVolwsXOsWLx/2fvzYMkW9Oz\nvif3fd8zKyuztj7dfe/ce2c0IxhtaLBkYwcBRhFiCcBIGkw4CAmLwIEVghFiESaEMQaMATECCeEN\nbIEVJkIGIWELyRYTjJmZvvf2qa49K/d93zP9R9X73i+zq7u2rMqs7u8XcaK7q6uyMvPLc87zvcvz\nFrhgtdfrSUPAFUCsibFarfB6vYhGo9jY2MDOzg6ePn2KeDz+krChk7PZbCKbzWJ3dxcvXrzA0dER\njo+PUS6Xr30CU+TKZrO9FLkSLR8ki4MuwCRu+v0+pwetVisikQgXrlOaAXi53uZVbutkJNtsNpFO\np/Hxxx/j+fPnXBhfLBbv54VKroWYFvR4PLDZbJwWnC/3oNo5ElcycnV/iHYmFPH3+Xzw+/08y1e0\nQFqksLrIs07kVTNK75sHJa5oFILJZOIQZDAYRDAY5G4ySguS0SOFjTudDtfRyB3OciGDULPZDJPJ\nhHA4jLW1NSSTSUSjUXg8nhm7BYpGUH3FaDRi0ZzJZJDP59FoNHhuJHC9E0ssoiUfLavVytFRGb26\nW3Q6HQvscDgMt9vNBoTA7GiaeS76P4pc9/t9ruUig1AScpKHBTU30JHL5bgruFKpoN1uy1q5e4S8\nJqlTkKL9wCe+Vrlcjm1TFiF0RFsccezYvOWKeJ+ge/0yhNaDE1dWqxV2ux1+vx9+v5/FFd2sKS1I\nIeNms4lWq8UpBYp+SZaHRqOZ6QgicZVIJBCLxeB2u/lEFUUNrSullEqlEjKZzEsmgtc9kWgmFhkX\nzqcGLxsgLrkdNEPS6/VyAwOdy8T8ms4PdRa/LkauaVg32XR0u10MBoP7eWGShUHiqlqtolarIZvN\nsoEolXq8LV1oqwDdi61WK3uRie755G1Vq9W40ey2kKDS6/Us7ii7IELZqXkz6PvmwYkri8UCt9v9\nUuRKjHLQTfiiyBWw/HDh2w5FrpxOJwKBACKRCEeuIpEIPB4Pn6gERa6ooUEcBlooFHgu4E3WVqvV\nvjZyJaNWd4tWq31l5EoUUcRFo4nEr9P5L4orily9bXUfbwokrkRhRdGrSqXCnYOS+4GMu6lrn66X\n8+KqWq0uPHJlMBjY/5L+FNFqtTP2TvSz933ePyhxRRO34/E4kskku3brdLoLXZ2pO6jVamE4HMqL\n6hKZH2tD65hIJLCxsYFYLMZzA0XjQKqdGQwGfEHN5XJQVRWZTGbGO+WmEUmaT+HMBb4AACAASURB\nVGexWNjF32AwvOSVJI5iEa0aJLeDPhfU8SeOOXmdsBUjV91uF71eD91ud8ZIdnd3F6lUCs1mU67V\nikLrTPU7dB7SuUjXd6rLoyHA1CUoFk1L7geLxQKfz4doNIpoNAq32w2DwcCNKcViEel0GpVK5dri\nis59rVbLcybpoEkrJOboEKGRZFQuQiUC9y2+H5y48vv9SCaT2NzcRDAYhNVqfSktQBPTi8WizMev\nEBTSNZvN3OX59OlTxGIxdth2OBxsBEmmj1S8mslkoKoqdnd3cXR0hHQ6jXa7feuLq1arnRmhROnA\necTZgjQMXN6w75+LIlmdTmfGmuPg4ABHR0dIpVJIp9NyjM0KI9bSmEwmTjVRuok2WuKmuV6v86g0\nKazuH6vVikAggGQyiXg8DrfbDb1eP3PvpRFSnU7n2uKKNloej4ed3wOBAHeROp1Orvman55xeHiI\nvb09Th3SaD0prl6DeFPe2NhgcUXQAtIOp1QqoVwu8w1YsjzEkK64jk+ePOGZcFTITpELCvVTijed\nTuP58+f4yle+MrN7vW03CkWuzGYzzy68KB0ozjOT4up+uai+ir4+nU7RbrdRKpVwenqK58+f46OP\nPsKHH36IUqnEdXqS1YSiFHq9HkajEVarldNNFosFBoPhpchVvV5Ht9uVUaslYbFYEAgEkEgksLa2\nBo/HA4PBwN5jJK7IFueq60MRTLpXuN1uxONxbG1tIR6PIxqNcunIq2qu/H4/9Ho9fz5ojuh9s/Li\nSixgc7lc8Pl8bDDocrl4oCelanq9HnK5HOfly+UyWq2WFFdLhnaldrsdHo8Hfr8foVAIkUiEB3HP\nD9Uej8cz9VXi/LdWq3Wr7k+x24TGKtHInYsKqoGzWp52u41KpcI+SbI4+mbMRyvoEM1bX5cSFOcE\ndjodHrFxcnKCVCqF09NTZLNZ1Ov1e3xVkptgMplgs9nYfd/j8cwUSVMNDdVciR2C0pvs/qGaWTIO\ndblc0Ov1LH7n/eOukjUSRRX517ndbs5SbWxsIBQKwePx8Og70gUkyqn+KpPJwGq1Lr3Le+XFFe1k\nrFYrdwh6vV4ejaDX63mOUalUQrFY5BEo6XQapVIJzWZTpgWXjNgRFg6HOcQ7XwwJfBKdIIf9dDrN\n60lhZsqh38TTip4P3czdbjeCwSB3LPp8Pnb7FyFXcRr0W61WpWfaDdHpdDOu+HRQnc1l8+RGoxG7\ntVerVfY5Ozo6Qj6fR7PZlBuqBwIN4Q6FQkgkElxLSw0lFMWmFn+6rr9NQ4BXAfF6SOUdNpsNRqOR\n57NWKhU0Gg10Oh0uKL9sNNH8RisSiWBzcxObm5scSAmFQjCZTJhMJmwCTDY5BoOBMx8ej2fGimmZ\nHmgPQlyJ0Q6fzwefz8fOzAaDgcVVOp3mfOvx8TEymQzK5TI7QEuWB4krn8+HSCTCO1TyJ5v3K6F6\nKxJX+/v7SKfTKJfLfOLeJh1AFwf6bAWDQcRiMayvr3Pt1UXiql6vs7iieVmS60ONDWStIh6iuHpV\ntyBdzPP5PDKZDM+TPD4+RqFQkAXsDwgSVxsbGyyuaOwNFTeLQ7xpY0PD2CX3B52L5DlJ4mo8HvOg\nZlFckfHrZY9JaWGz2YxIJIJ33nkH3/RN38SRKrvdjl6vh1KphFKphHa7zdkHk8mE4XDIaUSxlGSZ\n7v0rL67IfsHhcMDlcsHpdHK3AJ144oWWilgpJdhoNFg9Lxr6UIjdTvNeHOIOfN7wUBzTQd48lOp4\nExB3JNRqH4lEsL6+ziFeqqkg5udCFgoFpFIpHB4esm/KTXciol2HyWTikTvJZBJra2scUaM11Gg0\nmEwmfHQ6HdRqNRSLRWlIeQPEc4Xmx3k8HsRiMYTDYS5UFYf1isN5NRoNn1OiNQc1GNAoFLHQWbL6\nWCwWeL1exGIxRKNReL1eWCwWbmoRh3zTDZyyEXKN7w86d8VxYbQZIi/JZrPJwuoqkWO6R9AkBuoi\n39rawpMnT7jsBwAPXE+n06jX67BYLLxBdrlcMx3D7XYb7Xabfe1k5OoCxOI2qsWgGx+JEzrx6GZc\nrVbRarX4Tb2rgkfxeZnNZlitVv7AOZ1OuFwu2O32V/78aDTCYDBg7yZqHy+Xywt/rsuAdiJmsxmB\nQABra2vY2trC48ePEYvF4HQ6OVpF69Pr9Xh8QiaTweHhIY6Pj5FKpW7UeTIPXSAcDgeSySQeP36M\nR48eYWtrCz6fb8YGAJh1+67VaqjX66jVamg2m1wwKbkaYm1EMBjE+vo6EokE1tfX+fB6vdyxqdFo\neIQVDWt2uVzcmUQGtDT0mS7u1NFJg5wlqw3NE6RaG1FY0WaTbtqiEbSstbo/aGND9zuqkXM4HLBa\nrWwUKg5qvuzx6DCbzQiHw4hGo4jH49jZ2UEwGITZbEan0+Frbj6fx+npKdLpNPr9PltA+P1+mEwm\nDAYDlMtlVKvVmc/LsuryVl5cUbiQugIoB09FjtRiSeKKih1FcXVXbyyFRs1mM5xOJ+/E/X4/IpEI\np79ExOdCLtLtdhuFQgGqqqLX671R4oo6f4LBIOLxOLa3t/H48WO43W44nc4ZkUyNCZVKBdlsFkdH\nRzg8PMTR0RFOTk54V3KbrkA6nE4nNjY28NnPfhZPnz7lCzsJdxJXJNypsJ5u9M1mk4eIS64GfR5o\nGPOjR4/w7rvvYnNzE16vl9eAznWNRoNOp8PNDGazGbFYjM0LHQ4HDAYDrFYrCytKF9Xrdems/0Cg\n0o+LamlJKM9HROjaLwXW/UF1klRrRXWSVquV7Q7I++8q6yJ6WYXDYTx+/BhPnjxBLBbjqSs0Rodq\nbqlRTavV8iSPQCAAnU7H4ooimxS1uo0H4m14EOKKIkPznUTzIeN6vY5SqcQX2KuGAy8aBCker/o6\n3Siolojc4mOxGDY2NrC5uYl4PP7SvDv6k3bltVoNJycnaDQaOD09XdRbt3QopetyuRAIBPh92d7e\nnhHK8+KqXC4jlUqxV9HJyQkymcxCnhOtnd1uRzwex3vvvYf33nvvld8/HA7RarVQqVT4xBXFlaz5\nuDokhFwuFyKRCLa3t/H+++9je3ubI1rikF7g7BwpFos4PDyE1WplGw+32821GC6XC41GA7Vajdv0\nS6XSTLeQvAmvJmSDYrPZeMNFkSsSV51OR0auVgDRSofqUqnxQKfTcUnHVSJXFDTR6/VwOByIRqNQ\nFAXvv/8+izatVotWq4VsNgtVVXF6esrXYKvVisFgALPZDK/Xi06nw5NYqByIxNWyPisrL66oS5D8\nNLxeL8+dIwdvsfZCbNG/7A2lCJhYC0L1OCScyNCSDpvNxv9Hg4dpdIrL5YLL5YLX6+WCbZPJxDVf\nYv0IDR+mVODJyQlKpRK63e59vK33gli0TO+XOAyZIgv0vlCdVSaTwYsXL7C7u4tcLod2u72w5/Qq\n4XwR0+mU/bWOj4+xu7uLTCaDer1+a1f4txG6EJKrs9frhc1mm4lUAbNCiCJXh4eHsNlsPDLJbrdz\nikKj0cDhcCAcDnPdIvkhieecFMKrg3jtFW04xHme4sZZjERIcbUcxHstpWupFlKsfbxKTSyZkAYC\nAcTjcSiKgng8Do/Hg8FgwA7vL168wMHBAVKpFFqtFmdCfD4f1tbW4HK5oNVqUa/XkU6nkU6nsbe3\nxyPRlvkZWXlxZbFY4Pf7sb6+zmZlVORGheBUu0SFbJSuuaz9U1TP4slO/h1+v5+dYEXzS/o/Egpi\nepBUPe2qqZMBAD/fwWCAXq/H4urk5ATHx8fc2fimIBY+Uj2a2F5NN1PaoVJdUyaTwd7eHl68eIF6\nvb4wcSWO4LmKsAKAZrOJTCaD58+fY39/f0Zc3VWjxJvKRYXLVLwuRqMJcl4XxRXV7lHRM0U+7HY7\nwuEw9Ho9Wq0WX5ypyJXOPcnymb/2UtRSFFf0WbgoLSiKKymw7g8SuxqNZkZcAWclLmQYStGi12G1\nWhGLxbCzs4OtrS1sbW3x/T2bzaJUKiGbzWJ/fx+Hh4c4PT2FTqdDNBpFLBbD2trajLhqNBo4OTnB\ns2fPkE6nUSwWZ7oEZeTqAuYjVySuALDAInFFw1q73e61QpMU1qTD5XIhHA5jfX0dfr+fRZPVakU8\nHsf6+jri8Th3AopdaK+KjIj5aPogkrg6Pj5+KyJXFovlQvdzCieT4CRxtbu7eyc71MuiV2L6VhRX\nh4eHnBakLkF5cb86FLlaW1tDNBplP7GL5jiKaUESV5TKpbQ/FdmSVxa1YlerVZyennK6kMS7ZHUQ\nr71i5ErcfFHXMNU8zkeuJPeLOEJGFFdUzkGTK65SjmOz2RCNRvHOO+/g6dOnCIfDCIfDcDqdyGQy\nKBaLfM2l0hC/3w+r1YpkMomdnR0uDyBxdXx8jK997Wszcydl5Oo1iHYF4m5l3hvD7/djY2MD7733\nHjqdDqcCXnUSajQaWCwWPig1YTAY4HK5EAqF2K2bzA7NZjOCwSCnMwDMpPloDh79KXYC0tHtdvko\nlUo8+4yc5N+km8D8uKJAIHChf9RwOJypPxNTu9dFbBfW6XQsjCmiSH9//PgxwuEwLBbLzM/TmI1+\nv49er8eGdaVSCbVajdv8pai6Pmazmc+tQCDAXkaisKJoFdVPZLNZduMeDAYssur1Ors407BvWmOf\nz4dEIoFGowGr1YpMJoNMJsOfJxnxWC507aURN4FAgKc0iJsv0f6kUCigXq9zV5rkfhEzRQBmghlG\noxGTyYTF8kWjw4CXp634/X62YAGAUqnEG6mTkxPuCnS5XNjZ2UE4HMb29jbW19fh8/kwmUyQy+XQ\n7XbZqocyHVeJnt01Ky+uSC1TnlcUTNRqbbFYEIlE8PjxY+4wInHzqjdYq9Vy6o6GBZOIEgeHko0+\nCS/y2NJoNBxtIdVOnX8kpGgUQLVa5U6zfr/PO7JWq8WCgmoK3hSPKwAzond7exvhcJhFqYhYI0NR\niZt24ZF1B53oXq+XD7LHcDqdSCQSiMfjLz0fMiskO4hCocBNEs1mU84TvAVGo/ElcUVRK4KihYVC\nAYVCAaenp6hWqxzt3d/fR6/X452s3+9HIBBAJBJBNBqF1WqFx+PBxsYG10hqtVo+F5eZJpCcodFo\nYLPZeARWOBzmDSvVuJIre6fTQaVSQT6fl+JqyYiGoGR90m63ebNCJSCU5p9HtOZxu93wer0IBAJw\nuVyoVqtsQ0SNTNlsFhaLhUfdxWIxbG5uYn19HTabjcfckcl0Pp+fiZwt+3PyIMTVcDjkaAKFIekm\nSidiOBwGADYTo8jD68QVeeaQtwrl/C+yfaDdNRVjk3lpr9dDq9XiMRyVSgXVahXlchnlcplH8tBB\nz592ASS0qH5n2Wp7kZC/FYkr6qycZzAYcEdetVrlyONNoa4WscZnbW0NgUCAa+booi4O/gbAIW6x\n2UD0TqEIquT6mEwmtuXw+/2wWCwzJrsUrWg2m8jlcjg4OGBxRZ+RXq+HTCYDp9PJaxiNRvH06VPY\nbDYuHdBqtfB4PDAajWg0GkilUnzBl+J4uVCnNRUlk6GwOAZLo9GwuKLZorVa7Y0qm3ho0H2LauEo\nqEAd31SXTGU281D3OHX4+nw+BAIBOJ1Ong26v7+P09NTpFIpZLNZJJNJBINBKIqC9fV1Th+Ox2NO\nFz579gyZTAaFQoHvHasQnV55cdXv9zmC4HK52MWV3jgSPE6nE9PpFGazmYXYZZEr8sqhESyU+6cT\nWyxAp4iT2PknDqkkcVWr1ThSValU+CCx9TbdmCktR+8xhYyB2ROVLqDZbJadz68TwaOGAurypKgj\ntfxTd5rP5+MoFkWwKKRN6dxut4tMJsMDgE9OTlAsFjkdKLk688aD4nQFGnFDF2YSreRzRl0/NOqE\nItEU5aRh7HQhDYfDfOO1WCzsAt9oNBCNRhGJRHgsBxXeSpYDrY3f70c8HudaG4paEeKw5mKxyBMR\nln3TlHzCdDqFVquduc7Pb5oI0c/M5/Px/ZyuwZQxmE6ncDgciMViXONMM191Oh2azSZ3B1IzGG1+\nV6mDe+XFVafTQalUwtHREUwmE09OH4/HMxElo9HIKQCxDuqiN1p0hqWIlRjKpIgSeayI5pGUBqQJ\n4I1Ggy/2dFB6UDxkOHsW0Zqi0WjwmBvqxrtO7RkVSlNUivzGyA7D4/Fw2sFut3NxPV0EaHxSvV5H\npVLBwcEB9vb2sL+/j1QqhVKp9EbVwt0XVFtDqXdaA3LfJkRxS51+qVQKe3t7yGazqNfrL0UyKaJN\nnWRijR7NG9Pr9fB4PIhEItjY2MBgMEChUECxWJTiaolQWjAQCCCRSCAUCsHhcLwU7aBhzfV6HeVy\nmdPy8jq6HMQmILH0gkbRGQwGdDodblKZhyLXoVAIfr+f7VTEx9Xr9QiFQojFYjAYDAiFQohEIvD5\nfNBoNCiVSmg0Gsjn83j+/Dlfn1ehgH2elRdX3W4XxWKR5w8Fg0F0u10WTVTATEM+zWYzR0Rep2DF\ntCKlFkmsieZ11L1G7rCiiCJhRfVSYsSMCtzFYnfJGaL5K422oBtqNptFrVa7lpgxmUxcOL++vo5k\nMsnzAsVCZzHdS4dOp2OhTE7gL168wEcffYSPP/6YC+zl+l0fElc0tYCsF+ad08URVo1Ggz8LL168\n4CaCeXFFqQnqJBPtV2htNRoNi6tkMsmfqXa7/cZMQXiIiDVX6+vrCAaDcDqdL0U7KJLZaDS44WfV\nbqBvG+IcXYPBMFNnZbFYLhVXLpcLwWBwpuaSHlcUV+FwGKFQiCPdVquVy2z29/c5JUjiSoxirwor\nL656vR6q1SomkwkbBUYiEU4DURE6IaYLL8r7zlsAiMVvJMrEsTSVSoVDj6enpzOpQDFSRYXOqxSW\nXGVE+4Vms8ljDorFIg9lnfelEv8ujkQKhUJIJBLY3NzkY2NjA+vr63whmP8siCnfVquFcrmMdDqN\nw8NDLqg8OjqacYSWXA06x2hgNwkccbc673NGXbXksl4oFJDL5dDpdC70qCIDYar9oA2NWI+p1+th\nt9vh8XgQCoU4MileLyT3D2UaHA4Hp4fMZvOFKeJ2u81lF1SaIVk+4vV7NBpxaQZlCXw+H3f00eF2\nu7n5RBRXZCRLKcNIJIJEIoFEIsGb8MFgwBmO09PTmVrMi67tlwVX7oOVF1e0owWAdDoNq9WK4XCI\nVCrFs8hcLte1FCtFp8hRlupp6CC3WbrxUyqBfKjo/+iQrsHXQ7wxUuRBFKwkaOgiTDskqt0huwxa\newojx2IxRCIRTjPMD2EWfz/ZP1Da+fj4GPv7+9jb20Mmk0GtVmOhLNf06oghfuqu9fv9PC+MmkdE\n41Ax/VMsFlGv13ko9qsaCMSbsFgHSechRcdIaImD3+XMweXzKp+58XjM11Xqou50OnwTl80Iy0O0\nRaKxVCcnJwDAs0FdLhfW1tbw5MkT9nSk9Uwmk+wRSdFKOi+9Xi+SySQLLJfLBY1Gw1mNYrGIXC6H\nfD7PY2/oejIYDLi7u9FozHhwLVNgPRhxRTsWssYPhULs1hoKhQBcvb2axBUVnlerVRZMlN6j4lkS\nWBSlEuu5xLEa8iZ8PcSRRe12m8UV2TBQTR3NoxM9ySwWy4xTbzAY5HormjlHtT2vMqekwmgqnj46\nOmLjUjIKFcWVXNurMx858vv9vE7kSSVGr+YLl8VU4Ovef7Hrdl5c0feLKQyKdEpxtVqIQkuso6tW\nq3xNILftVWixf5uZTCbQaDQsro6PjzmLQHY3a2tr6PV6sFgsM3XJ8XiczcBpA0znpc/ng8lkQjAY\n5McTndf39vZQLpe53pnKDagJIpvNIpvNsjcasPyu4JUXVyRgKGJUrVZxcnICj8eDzc1NHqILXE1c\n0Y12PB6zl04+n58pRKcUg1gvRX+XLAYxrEwHOTBT1IMiH9T9J/qSbWxsYGdnB9vb2xxittvtnF6g\nFCJwsRGt2KGYSqVwdHSEg4MDHBwc8PNZtRz+Q0AUViaTiUdJUeSKUkAGg4Hf23k/IxJXl6VjLxpn\nJK4xIZrKXjb2SHK3vG6KBfDJZ6FWq6FSqXCHJ01EkCwPcXJFp9NhcUW+VePxmKebaDQa9q8ii51o\nNIr19fWZ0Vd0bpIHoWjiTJmNQqGAg4MDNBoNdvSnCJfH4+Ear+FwiHq9zuU5yz7XV15ciYiGoq1W\nC4VCARqNBo1GA8D1I1cUSqzVaqyIxfAzXdxlVGrxUAHkaDTiyMb29jaCweBLMxqpy4/G6NhsNvY7\n8fl8LKrEmYU0m0wUyWL3ppi7J1+VUqnEXWfL3vU8VMi4k2qdIpEIIpEIG0WSKa94PtEQc7JfyGaz\naDabrz3naLcbiUSwtrbGrs3UJUh1GNQwQe7PlDaQ3C+iRyBZcVDNrNipTVYcJycnODo6YhsUyWpB\n5RQ0JYXWMhQK8QbZ7Xaz8Op2u3C5XPB4PNDr9dwZ3Ov1uAGFPgdk72A0GhEMBrGzswO9Xs8jr8Tp\nLDqd7pWZpGXzoMQV3Syn0yna7Tby+Tz/eZPHEqMmYnRKLIgTIx6SxUCRKbPZDAAsrsiJ2+VyweVy\nsUO+OJuQUoQUzSJ/HEr5zO+Gyei11+vNmLqm02kcHx/j+PiYOxTJaoOEtRTU14eK2L1eL3f9UBOK\nw+FgDyqR4XCIWq2G09NTDv+3Wq3XnnOUhkgkEnj06BESiQS8Xi9/Fuh3XCSuZBTk/hHnQNI5LA5q\npk1Rv99HpVLhaLK0zVhNaHxbr9cDABbJvV6P19ftds/8DIkhEld0raUufzrEiSiBQAA6nQ4+n4/r\nMEWbpE6nw/5W8/fvZV+/H5S4ojeNUkqU971p+I8WQFyIV9V2SBYLufUaDAYWV3QRFT2qRCsF8c95\n53xxeDZBkU5y0acCzFQqxV2BBwcHKBaLM10tgFzzm0KRK+r6ESNXZNAriitqLqBhy3t7exxFft0a\nGI1G+Hw+bGxs4J133mEvHLpZA+AaHlp7mk8nI1f3jxjhEIUV3ZTpM9Hv91Eul1lclUolGblaQajJ\noFwuYzgc8uZ2PB7zGCqqrySxJQ53JiPfbreL6XTK5R7T6ZTvCyaTiadqUEcx/Wy9Xkc+n0cul0O1\nWpWRq0UwL4Jk+ubhIXqlAGAndWqjd7vd8Hg8PNiX8uxi5+BFRepiGpC6PqmurlAocNEjHWT7ICMZ\ni4Nc+Z1OJ3w+34xjs9gyLRr1Ut1kq9WaGboOzNbokK2Dx+PhkTdbW1sv1XBQ1+9gMEC5XJ4Zvv2m\nDUd/KOh0Oq6TIRNJOr+pg5NS+eJnY9kdX5KLoXUCwGUWJpMJ/X4fxWIRmUyGNzsUkaIGJmoeozKc\n6XQ607RENku0GSPEGl0al0bZiGw2y5kPKutY9gb5wYkryZsBFT5rNBr2L7NYLGw8abVaOQohhpNf\nVZRMUSfqLqVwsRihKpfLPI6oVqvJ+ps7gEL8TqcTXq+Xb6Dimon2C61Wi0dXUEODWOdIEUqtVgu3\n242trS1sb2+zjxnNG6OLM0WrSKyRjUqhUEC5XObfIblfdDodHA4HgsEgG4dSt5hojyE2n6xCakdy\nOb1eD6VSCePxGJVKhRuPqNCcUnyj0WjGJoH+BDBjtyOaPItQoToJb6qfJUNvsnCR4kryViMWJlJ0\nw+/3A8CMa/5l3UXAbEs+pYtpZMbh4SGePXuGb3zjG6jX6+xtRUPAZQfoYpkXV3a7fWYHKg7l7Xa7\naDQa3HIvCh/RDJiinC6XC5ubm/jc5z6Hx48fs2Gh2+3m79FqtTPGsCSsisUiz/aU0e77R6/Xs7iK\nx+M8sFecN0qfESmwHhYkrur1+oUbYTqHxfWcX9tXmUWLzHd9i/YrYsZivtRnWUhxJbkzyBCQvE5o\n9iPNkyLIduEy6GSh/DuFlWk3RFErik4Vi0Xs7u7i8PAQp6enbLNBnjmS5UAXSNrJjkYj7iLzeDwz\n30t1dlarFdvb29je3sbm5ibW19dhs9m484zSwMPhEIVCAZlMBplMBoeHh8jn87KQfclQpJpS/KLn\n2Ks2TOKfktWFBA4Vt0vOkOJKcmeIIwtyuRxPNbdYLDd6PHHn0mg0UCqVUCqVeHAv5eIpD18qlZDL\n5ZDNZtmIVnpX3S3zM/8oTC/eLOdvpjqdjge6JpPJmf9zu93w+XzcGbizs4NgMAibzcb1OtPplI0n\nW60We5YdHh7i8PCQ11+yPMSpDBQ1XoXUjURyV0hxJbkzqPalUCjA5/OxY/dNEdN/jUaDZwGWy2V0\nOh2eQ0YFzPR1GnMkLTXuHqp7o3oq8o0TmQ/bU8qIPHJEyMdqbW0N4XCYh76SX5ZOp3vJ4f3o6AjP\nnz/Hxx9/zDYbsp1/uYiF6mLRsUTypiLFleTOoE6wfD7Pc6QozSPm5sU8u8j8eBPRuZeE1e7uLorF\nIhc3NhoNjlzVarUlvfK3FxI6NCfQ7/dzFNFqtXLhqlhrYTQa4Xa7EYvFZorfNRoNYrEYF65TRyAJ\nK3FEFU1aKBQKPGj98PAQpVKJC2Aly4MimhRhpIimaIFC3yMeMroleahIcSW5MwaDAWq1GjKZDHeL\nUOpONAEVO0REgUVzoijyRHMga7Uajo+PcXR0hKOjI27BpVbfZrPJsygl98toNEKj0UA2m+XIBDUZ\nBINB+P1++P1+nlGm1+ths9kQCARgNpvh9/tnxtV4vV74/X72PNPpdFzfQRYbNOyZjkwmg0qlwqlg\neYNePtTAUK1WYbPZXpofScXIjUaDO79EESaRPDSkuJLcGSSuaKBmr9fj6FIoFEIoFGJHbwAzPkjA\nJxfkWq2GarWKdDrNBxUsZ7NZtFqtmY4R2vVK7p/RaMRGnc1mk1umq9UqNjc3sbW1BYvFAqPRCOAs\nJUi2G16vF9PpdKYVWzQhpPqqyWSCVquFVCqF3d1dHBwczDQ45HI5VCqVmXovKa6Wizgz0GQysbgi\n4URrR8KqXq9zB6ns6JU8RKS4ktwZlBYkYdXpdNBoNPjCOplMYDQaMRwO0KllagAAIABJREFUYbVa\nMR6PZ7xNer0e19Hk83ns7+/j4OAA+/v7bApZLpdlF9gKMRqN0Gw20Ww2eYo9/X04HMJkMrFBbL/f\nx3g85k5BMhycNxEkYSSaCFarVaRSKXz44Yd49uzZTME8ifGL6r0ky4HSxRSVrFarqNfrPOaIvOnI\ni65Wq7E4l2soeYhIcSW5MyaTCUcu6N+0O6V04d7e3swNVUwL0pRz+n4ad0Az4nq9nixQX2Goi49q\n38xmM6bTKRqNBiwWC9fPabVanifpdrvh9Xrh8/lYeFMkkrzLyuUy0uk0nj9/jlQqhXK5PCOuaDSH\nLJheHWh6Aontw8NDmM1mtNttTKdTjjxmMhns7++jWq2ysJJRR8lDRIoryZ1BRejUQdbr9VCv12E2\nm5HNZmGz2djFVyxuF3+exiRQ9xlFRehiLMXV6kLD0Wu1GgvhVquFbDYLg8HA4spgMCAUCiEYDCIc\nDmN9fR1GoxEej4frtVqtFnK5HBern5yc4PT0lMUV/T4ALMbkZ2N1oGsApXUPDw/R6XSQSqW4k5Dq\n9UqlEqrVKtfLyXWUPESkuJLcGXRhpPon0WX9sqHLhNi2Tx1Foruv3NWuLhS56vV60Gg0XOhus9kA\ngD2PzGYzEokE1tfX0Wq1YDAY4PF4ZiKf1WoVmUwGu7u7+Oijj3B4eMgNDo1G46XfKz8bq4U495MG\n8J6cnHCdpWgQTB3C0khU8pCR4kpyp8ib3NuNuP5UG0epHnFOWKFQgEajmekay2aznEZuNpvIZrPs\ntl8ul9Fut7luS7L6iGJJRqMkbzpSXEkkknuBHLrpxkqRTSpCH4/H7LB/fHwMr9fL6eR+v881V5VK\nhVPDsthZIpGsIprrRhU0Go0MQ9wT0+n05TzZPSDX+P5Y1hoD97/O82lg0UiUau70ej0bjRoMBq7H\nEb2QqNBZTBOvOvJcfvN5m87lt5mrrrOMXEkkknvhdSliimpJJBLJm4D28m+RSCQSiUQikVwVKa4k\nEolEIpFIFogUVxKJRCKRSCQLRIoriUQikUgkkgUixZVEIpFIJBLJApHiSiKRSCQSiWSBSHElkUgk\nEolEskCubSIqkUgkEolEInk1MnIlkUgkEolEskCkuJJIJBKJRCJZIFJcSSQSiUQikSwQKa4kEolE\nIpFIFshCBzcrihIB8FhV1V+5wc9+J4A/r6rqt899/VMA/sb5P00A/qiqqv/fbZ/rFZ+THsBAVVWt\noih/CIBOVdW/94rvtQD4baqq/pNrPP4/BPAvVFX92bmv/yCA/wTAGMA+gO9XVXV409exaO5onbcB\nfBmABsAUwBdVVd1fwNO9ynNa1jr/YQD/KYARgH8H4AdVVV2JDpM7WuNPA/gr5/80Afgzqqr+0m2f\n6xWf07LW+I8D+F4AAwA1AN+nqmrtpq9j0dzFOp//3w8A+OsAfoeqqr986yd69ee0rHV2Avi7AL5F\nVdX4zV/B4rmjc9kM4KcBKDi7Xv+wqqq/toCne5XntKw1/iyA/x5n1+s8gN+vqmrnVY+z6MjVbz0/\nFslPA/izqqp+J4C/iE8uzveKqqo/+6oFPOczAL7nmg87PT8YRVHeBfBDAL5VVdXPAzAD+H3XfNy7\n5i7W+W8A+O9UVf0tAP4azj7E9849rvMagD8N4LtVVf1WADEAv/eaj3uX3MUa/2UAf0FV1d8K4I8A\n+NsLfvwrcY9rHAfwgwC+7fz69eL836vEwtdZUZQ/COBdnG0YlsZ9rfM5XwbwL6/5WPfFXZzLPwKg\nrqrqZ3F2Li/l2nWP57IWwP8C4IdUVf0WAF8F8G2ve5DXRq4URdEA+DsAnpx/779RVfU/P/+/LwL4\nzwAMAfwKzlT7T5z/XwWAE4BeVdUvnX/tCGcLnAfwDwB4AdgA/K+qqv7ka57Gd6uqWj//exGA/5Ln\n/DMA2gC2AEQA/Iyqqn9VUZQfB7ABIAHgT5w/1t8EYAVgB/Cjqqr+S0VRFAD/8Pwx/pXwuD+OM4X8\nJUVRfjuAHwPQA7AL4IdxJgLdiqL8JVVVf0RRlL8I4FsAWAD8X6qq/snzBfppnF14js9fv2buJXwI\n4LNCpKoEwPe613xblr3OiqIYAHw7gN9+/qVfAPBziqIYXhWxewPW+bsA/LKqqo3zf/9jAP8RgP/p\notd7W5a9xufkAATP/+4BULjkOf8MHvYatwBMzt+/GgA3zgTWnbEi6/xPVFX9OUVRrhQpeQPWGQC+\nH0AAwJeu8ppvw4qs8fcA+AMAcJ5J+qFLnvPP4GGv8acBNFRV/Y3z1/znX/d6gcsjV24A31BV9dvP\noyj/vqIoTxVFSQD4UZztyL4FQBSAEcDfB/APVFX9qxc8FinBAIBfUFX1Czi7of6ooij2Vz0BElbn\nH6j/EmdvwuuYAoipqvrbAHwHgD+tKIr3/P+Sqqp+p6qq/xbA3wLwV1RV/fcA/E4AX1YURQfgzwD4\n8vlO8+tzjztVFMWKsw/sf6iq6nfgTPx8BsB/BeCfny/g9wKInv+u3wRg+3zhvwuAoqrq5wD8QQDv\nY04hq6o6VVW1ef6aN3B2w/1Hl7zm27LsdQ4AaKqqOgaA8z+rAEKvec4Pep1xdoHJC//O4+z9vSuW\nvcYA8CcB/ISiKB8C+HlcckHGA19jVVWrAP4cgANFUfZxdmO57Pp1W5a+zqqqtq75nB/0Op+/5vY1\nX/NtWPoaA9gG8HlFUX5JUZRfVhTlN1/ynB/6Gm8DyCiK8jcVRfk1RVG+rCiK43Uv+LKaqzqANUVR\nfh1AH2c3hACApwD+raqqfQBQVfX7AeBMXF6o6kWKAL5VUZQ/grM6BBPO1PIrOY9s/CyAiqqqf+2S\nxweAf37+vOqKouwC2MHZm/X/Ct/zBQB2RVEm5/8e4GxX/S7OlT4AsVZAc348AZBSVbV8/jt+5Pw5\nbuKT1/4FnH3waOfmBJDE2Qf9189/rqsoym+85jU/AfBPAfxhVVXTV3jNt2El1nkOqr16HQ9+na/5\nem/DKqzxTwH4kqqq/6OiKJ/D2U70ySW/48GusaIo6ziLZCiqqhYVRfnrOEun/MT89y6QVVjnm/Bg\n13kJrMoad1VV/S5FUb4dZwGA9Uu+/6Gv8acB/ICqqnlFUX4KZ+fyn3rVi71MXP0+AJ/FmRKeKIry\nFZy9GRO8Ouo1nfuTMOLsRf4wAIN6VmcCRVGKr3sC56r153Gm1H/0kudL6IS/izetgfD1HoDfpapq\nZe73aXD2+uYfR3xdl0X8egB+SlXVmfowRVH+hPDY848vft9TnAmrP6Sq6v9zye9aBMte5wLOTii9\nqqqjczHtwmxk5yIe8jqnAHy38O8ogNNLft9tWPYaA2cXt+8FAFVVv6IoiktRlJCqqq9b54e8xr8Z\nwL9TVZXel38G4I9f8vtuyyqs8014yOt836zCGmdwLnJUVf1VRVGsiqL4SNy8goe8xmkAHwvXql/A\nWfr1lVz2ZIIA1PMF/CacKU0zgK8A+GYKiymK8o8URfnM+RM0nv9sA0D8/P/fwSe1FkEAH59//Xfg\nLLdqfs1z+BKA59cQVhqcXcRxHnbcBvAcLyv3fw3g95x/n19RFAqZfoSznCxwFi4UHxfnjxVTFCV2\n/rP/7fnrGAMwCI/9PefCEIqi/Jhy1g33Ec4uuDh/737T/JNXFMUI4H8G8HvuSVgBS15nVVVHOCsG\n/d3nX/rdOKtHGr3mOT/odQbwLwD8FkVRvMpZzv/3AvjfX/N6b8sqnMvPAdDFexNn15/X1V099DX+\nGMAHyllnFc6//6PXvN5FsArrLHJZxIS+5yGv832zCmv8TwH8x+ff/wRA7xJh9dDX+DdwFi2MnP/7\n2wB84zWv91Jx9Y9xFkb7v3F2w/uvcdbJ1QTw4wB+6Tw0eaCq6lcB/CqA71cU5c+e/+ynz3/2iwCe\n4Uxd/j0A33cemtsG8D+cH6/qwvgvcBau/JXz45cVRdEqivIfKIpykeCaAqgoivLzOCvo+zH1rGh4\n/vH/GIDfdf78/hk+6fT4cwD+qKIovwjgEc4KA+lxp+pZ6+UXAfxv5z/rAvB/APg3AL5DUZQvq6r6\n8wB+DcCvn78/AZxZKvyfAE6Us7DjT+M8FDnH78TZh/+/EV7zVYXlTVmFdf5jAL6oKMqvAvg+nHdV\nvanrfL4D+lMAfhFnJ/0z9RrtwjdgFdb4izirtfgVAD8H4A+oqjp9g9f4Gzjrev1X56/5PQB/4YLX\nuUiWvs6KovykoijfwFl05e8qivJ1RVGCb+o6K4piPH+9vwggqCjKNxRF+TsXvM5FsfQ1Pv89X1AU\n5V/j7H35/cAbfb0eAvgBAL9w/vjbAP7SBa+TebCDmxVFMQH4SfW8S0L4+t8H8Kvq69szJQ8Euc5v\nPnKN3w7kOr/5yDX+hIfs0L6Gu++8kSwfuc5vPnKN3w7kOr/5yDU+58FGriQSiUQikUhWkYccuZJI\nJBKJRCJZOaS4kkgkEolEIlkgUlxJJBKJRCKRLBApriQSiUQikUgWiBRXEolEIpFIJAtEiiuJRCKR\nSCSSBSLFlUQikUgkEskCkeJKIpFIJBKJZIFIcSWRSCQSiUSyQKS4kkgkEolEIlkgUlxJJBKJRCKR\nLBApriQSiUQikUgWiBRXEolEIpFIJAtEiiuJRCKRSCSSBSLFlUQikUgkEskC0V/3BzQazfQunojk\nZabTqWYZv1eu8f2xrDUG5DrfJ/JcfvOR5/LbwVXXWUauJBKJRCKRSBaIFFcSiUQikUgkC0SKK4lE\nIpFIJJIFIsWVRCKRSCQSyQKR4koikUgkEolkgUhxJZFIJBKJRLJArm3FIJEsGoPBwIdOp4NG80mn\n63g85mMymfDfp9OzzmP6UyKRSCSSVUGKK8nSsdvt8Pv98Pv9sFgs0Gq10Ol0mEwm6HQ6fLTbbf5z\nMpnwIQWWRCKRSFYJKa4kS8fhcGBtbQ2bm5twuVwcxRqNRqhUKqhWq6hUKnwMh0MMh0MAwGQyWfKz\nl0gkEolkFimuJEvHbrcjHA5jZ2cHwWAQJpMJJpMJo9EI+Xwe+XweuVwOJpMJANDv99Hr9dDv92X0\nSiKRSCQrhxRXkpVhOp1Cr9fDbrfD5XLx330+HyKRCAutfD6PQqGAYrGIYrGIbrcrRZZEIpFIVgYp\nriQrhcFg4Bosm80Gr9eLXq+HdrvNYqpQKODg4AB6vR6dTgfD4ZCL3KW4kkgkEsmykeJKshKQKNLr\n9XA4HPD7/fB6vSyYRqMRyuUySqUSSqUSjEYj2u02crkc2u02gLPOQolEIpFIlo0UV5KlMxwO0el0\nUKvVUK/X0W630e/3MR6PodPpoNPpWHRNJhPo9XokEgk0m00Mh0Ocnp6iXC6jXC6j1WqxIJNRLMmr\n0Gg0sNlssFqtsFqt/HebzYbxeIxut8udqXR0u91lP22J5K1Fo9FAq9VCo9HwQYjX/FW5/ktxJVk6\ng8EArVaLuwH9fj86nQ76/f6M/5XJZILD4YDBYEA8HsdoNILJZILb7cb+/j4Gg4Gsv5JcCa1WC4fD\ngWAwiFAohFAoxH8fDodc01coFJDL5ZDL5aS4kkiWCIkrvV4/I7IAzFjzrIpNjxRXkqUzL64ajQba\n7TZ6vR4A8AllNBqh1+ths9kwmUxgNBrhdrthsVgwGAxQLBZRLpcBSHNRyeshcRWNRrG5uYmtrS1s\nbW1hc3MTvV4PR0dHODw8xMHBAQCg2WyiVCot+VlLJG8vGo0GOp2ON9uiwBqNRhiPxxiNRgBW4/r/\nVosrvV7PaSfRJdxoNMJoNMJkMkGv/+Qtmk6nM47hnU6H0wfD4RDT6XTpavkhMhgM0Gg0UCgUYLPZ\n4HQ6YbfbMZ1O4XK54HQ64XA4ZtbK6XRiOp3CZDLxzzcaDeh0OrRaLbRaLXQ6HV4rOukky4V2mmQU\nS478YiifnPgX7WFGIt1gMMBqtSIUCiEej2N7exsbGxtIJBJYW1tDvV5HsViEVqvl5yHP6cWh1Wph\ntVpht9ths9mg1+v5WqzVfjKRjT4Ho9Fo5uY5Go3Q7/f5kLWWbxZarZaFE10jdDodLBYLnE4nnE4n\nrFbrzPf1+30MBgP0+/2ZVP5wOLwwknUf5/NbK640Gg2MRiPMZjMsFgvsdjscDgccDgfcbjc8Hg+8\nXi9sNhv/zGQyQa/XQ7fbRbfbRS6XQyaTQTabRavVwnA45IuA5Or0+33U63VMJhOur5pMJmg2mwiF\nQgiHwxiPxzCbzXwYjUbYbDZotVrEYjF0u13odDoEAgFks1nkcjnk83leL3FkjmQ5iLUSBoMBZrOZ\nNzDipmUwGGAwGPCGZVHodDrYbDY+x+PxODY2NrC9vY1gMAibzYbpdIp2u41SqYTT01OkUimUy2WO\nokpuj1arRSAQQDweRzweh91u59o3cTM7Go1mJjTQRrbb7XKNZalUktfbNwgxOqXX62Eymfg64ff7\nEYvFEIvF4PV6WXRptdoZQUW+iLlcju/LdG++z3ThWy+uSFQFAgE+IpEI4vE41tbW4PF4+GcmkwlH\nSBqNBlRVhcFg4MgVIDvWbgKZgXY6HT4But0ums0mOp0OAMBoNLL4MpvNMBgMsNlsbCyq0+ngdrsR\nCoWwu7sLvV6Pfr+PZrOJ8XiMfr8vxdWSIWGl1Wo5emS329mNny6CWq0W0+mUz6lFQeLK6/UiHA4j\nHo8jmUxie3sbVquVP2OtVgvlcpnFVb1el/VWC0Sn08Hv90NRFLz//vvw+/1wu91wuVwwGo38fYPB\nALVajRtdxL+fnJxgPB6jXq+j3+8v8dVIFo1Op+PMkd1u5wjn+vo6njx5gsePHyMajbIA02g0qNfr\n/Bk5ODiA2Wzm60ev1+PoOHB/KcM3XlyJKb/5NKDb7eYold/vRzAYRCAQQCwWw/r6OtbX1+H1evmx\nptMpms0mWq0Wms0mptMpWq0WSqUShsMhms0mh60lV+eicTbkwk4Rp8lkgkAggNFoxGkEqsOimzWl\nD+nG3O/3USwWMZ1O0ev1MBqNVqaT5G2E0nKi3Ybf74fVasVwOOSwPtXeDQaDhfiXidEyp9OJUCiE\nRCKBeDyOaDSKcDiM6XSKwWCAdruNarWKUqnERe29Xg+DwWCB78TbB6V1LBYLXC4Xtra2oCgK3n33\nXQSDQc4UiOKq3+/z6KtqtcpHpVLhaGev14PBYODPjrz2PgwoQkXlAXRdoE2X1WqdSQM6nU4kk0ko\nioJ33nkHa2tr/DNarZaFd61Wg8Fg4BIeu93OEa1Op4Ner8cHRbHuKiDyxosri8UCr9cLr9cLl8sF\nm83Gh7hwYsrJYrFgOByiUqnMpAPEehG3241gMIhYLIZKpQKNRoN8Ps+iQHIzRqMR2u02tFotJpMJ\nhsMhqtUq0uk0kskkNjY2+KSxWCywWq3cSUhu7uvr65hMJjCbzTg6OoJer+cTioScFFf3j8Fg4DUL\nh8PY2NjAxsYGvF4vpwE7nQ4ODg5wcHCAbrfLAuumaV2qy6A6n0AgwBfpWCwGt9sNvV6PdruNWq2G\narWKbDbLth70mZER6dthsVh4vTc2NriJIBgM8vVXrLcCwFFql8vF4szlcvGAd4fDAZ/Ph3Q6jVwu\nh2w2i3q9vqRXKLkOer2e77U2mw0ul4ujl2SJYrPZZiJXoVAIa2trcDgcMzV6YhZKo9EgkUhAr9fD\n6/WiWq1yQKRWq7FPIt3bu90uer3endwP3nhxZTabEQwGkUgkEIvF4PP54PP5uJ6KDrHWg7oPKpUK\narUaP5ZWq4XT6eQiaxJXrVaLf75arS7x1T58hsMhWq0WRxFqtRpOT0/hdrtRr9cxHo9hsVh4h2oy\nmfgiTLsYqs+iETq9Xg/lcpnFsdzdLgfq9HS5XIhGo1AUBe+99x6i0ShHrlqtFsxmM3q9HrLZLF/0\nblonQTtkvV7/krgKBoMsrigFlclkkMlkUC6X0Ww2uWBaDgi/HVarFZubm/j85z+Pz372s3C5XPB4\nPHC73dxANC+utFotLBYLCyu3280i3O12w+/3IxqNYm9vDx9++CEajYYUVw8EOh9dLhd8Ph/XUkUi\nERZUVItHGzIq4XE6nTN2DMDZfUCr1cJkMsFoNMLr9WJjY2OmjKdYLOLo6AjHx8fQaDRoNBqYTCZ3\nVjLyxogrepNFozGtVguXy4VIJILt7W1sb28jHA4jEokgFArxgGCTyYR6vc7h51arxVYAYt0H5XdJ\nXPn9fkQiEXS7XbTbbZTL5ZmwtuT6UFqVXNcppWM2mzGdTmGxWODz+TjNQzU7lKM3Go0wGAxwuVzw\ner3odruoVCpIp9McApYdRsuBmhC8Xi9isRh2dnbwwQcfIJlMsriiXebp6SnMZjNHrkTDwOug1Wq5\nccXlcnFKcGdnh3fIWq0WvV6PPyckrlqtlqznuSbz12E63G43tra28M3f/M34whe+MFP/Qmn/V6Xt\nKf1js9n4ekCZB5/PBwAoFotsmyFZHUQvKtE6wWq1wu12w+fzIRqN8v15Y2ODRRRlJ+gerdPpXvl7\n6B4AAG63mz8/3W6X67Gy2SwsFguAs5SzVqvFcDjke82iy0XeCHFFYUE63G43pwJjsRgSiQSSySQi\nkQi3cU4mE1QqFe78K5fLKBaLKJVK3GFAF3bCaDSi3+/DarUiGo1y7RZ1MxgMhhvfBCSvhi6+tVoN\nqVQKNpuNQ7kWiwUajWYmTGw0GjlfTzV0lUoFZrMZGo0G3W534cXSksuh0D7ZHvj9fphMphlzQLE2\nct4o8KqIGyyqsQqFQkgmk5yKolZuqtMpFApIpVLY29vD8fExyuWyFFY3wGAw8M2QUnh+vx/JZBKf\n+tSnEAgEMJ1OZ1rnm80mms0mGo0Gut0uWyyIEWbKGlDkolAosBA+ODhAKpXim6RkNdBoNPxZMJvN\nHI1yOBzweDycRQoGg4hEIohEIggEAjPlOeRpddP7qlgyQp9D8rg7Pj6GxWLhBir6PC4qSv1GiStK\n8SUSCWxubmJzcxPRaJS7ACmcqNPpWFxls1lks1lu38zn8zP+SOIbbTabYbVaEYvFMJlMZnbFYlpK\nsjim0yk0Gg13BqVSKV4Tq9XKN2jxJm0wGPjn/X4/1tbW0G63uSORWutl3dX9YrVaEQwGsbm5iUQi\nAZ/Px92erxJXYuj/qohRE6fTiXg8jkePHvHOOBQKwWq1chkAGdCenp5if38fqVQKlUpFiqsbQF28\nDoeD3/dHjx5hc3MTa2tr8Pv93DxAoorqpbLZLCqVCn9dfP91Oh2i0SgikQii0SgymQwODw9xdHSE\nbDaLYrEoxdWKQeKK6pqDwSDC4TDC4TCLbp/PB4/Hw99D9VR0LRA3WTeBSkZE2wa73Y5AIMDCiuqx\nKKgixdUcJK48Hg+SySQ++OADfOYzn0EkEuHwv06n44JzcgQ/ODjAxx9/jNPTU663oPZ/YLZt02az\nIRKJ4OnTpyyu5iNXUlwtHur8qFarGI/HqNVq7Huyvr4Ou90+04kmGsIGAgG02232zCmVSjNeOpL7\ngyJXW1tbSCaT8Pl8HE0Uo44ksG4buaKuxHg8jk996lN4/PgxX9CtVitGo9GMgS1FrnK5HIsuyfWg\nwmKPx4NEIoFPf/rT+PznP4+trS0WzRS5ajabKJfLODk5we7uLl68eMEp2XK5PCOWDAYDHj16hJ2d\nHTx69Ih/RlVVrsWUdXGrBZVzUAlNIpHgSQiRSIQjV3a7fcYslH5WfJybQuLKZDJxE0Q4HJ7p9s/n\n85yW7na7C6vJfbB3Gb1ePxNmDAQCCAaDCAaD2NnZwebmJoLBIBc/U3cAtXmXSiUcHR1xgVu1WkW3\n2+X6AFLSFouF20UtFgt2dnbgdrvZeqFUKnG3Sr1elxfkO4LsFSgClclksLe3B7PZjEqlMhOdFKMf\ntEuZTqeo1+vczm0wGDglLFOEd4NGo+FiVIvFgrW1NUSjUYRCIW4oEYvJa7UaCoUC9vb2kM/neW2u\n2ylIaQDaDIXDYYRCIQQCATgcDhZ0JKyKxSKPXaKZltJ09mZQ08D6+joSiQTC4TAXrdMg7FarxZGq\nbDbLfmKnp6colUqo1+toNpsz3mJ6vR7FYhFmsxkAkM/nUSgUeMi7ZHmIdXailQIJGTrW1ta4cN3n\n8/EkDirtEDdSizz35h+bfPSo5ovmifZ6vYU2RDxYcWUwGOD1ejlMHIvFePFoCKvT6WSnb/KuSaVS\nSKVSSKfTqFQqKJfLqFQqXEzpcDjg9XrZ5yoQCHAUxGw2Y21tDYFAgG8I2WwWR0dHOD09RbValeLq\nDqGxF5PJBLlcDkajEd1uF8ViEZubm1wfRzd0o9E4kzqkbqJ6vQ6tVotKpYLxeCzF1R1BtQ2UAlhf\nX+c0vdvtZnf2brfLtTN7e3tQVRWZTAbtdhuDwYDPzatiNptnuslCoRAbVVKEGQBfTAuFAiqVCnep\nioXVkutBY4U2Nzc5OmkymdhSJZ/PI5/P4/j4mA/Rx4oaieajB2TgnMlk2GC4VqvJc3dFoDS82Wxm\nz0iyTiBDbq/Xyx2iNpuNS2nus05ZnFNLzTWhUAidTofHpy2KByuujEYjfD4fkskkHj16xB5IGxsb\nfGM1Go2o1WpoNpuco1dVFc+fP8fBwQG39Q6HQ271tNvtiMViePfdd/Hee+8hkUjMWPDTh4jEVT6f\nnxFXchd1N0ynUx4t1O/3kcvl0Ov1UCgUOF1IJoXAJ4W15OLudrs5t05phPF4jGazKWs17giNRgO7\n3c5WKIlEgotWXS7XzLmUzWbx7NkzfPWrX+UbMDn2X1fo0HqHw+GXxBX9TvocUUqQuoTFJhYprq6P\nzWZDMBjE1tbWTNPCaDRCtVrlura9vT1OBYr+c5Tem+/mnU6nXPBeLBbZ0V/aqiwfSsNTCs7n83Hd\nczKZ5HuzxWLh+zKl/cV6qrsWWWItppi+DoVCfC9fZFnPgxJXFImg0PPm5iZ2dnaws7ODSCTC0arR\naIRGo4Fer8fih6bc7+/v4/j4GOl0euaxKe1Hv8dut8Pr9SIYDHLjh4DUAAAgAElEQVTBtF6v5whY\ntVrlziKxdVue7HeHWFPRbrcxHo/Rbreh0+lYUA8GAw5DA5+0cdNJT75kg8EAnU4HxWJxWS/njUc0\n9yMTX0oDGAwGjhp2Oh0276RxMzTt4Cp1NNQtSvV2NLdOLGCnQlly7qe1z2QyOD4+Rj6fR6PRkAaz\n14SKlmnzKWYSgsEgHA4HDAYDer0ed/vu7u7yhjSfz1/pmkllARSpIo8km83GN2uaSSrOmROHPUsW\nhzglgxq9bDYbfD4fN5Ntbm5yRikUCnE3PQkYOs8oI0GTEEg0i+fidDqdmbYiRpjE85Xqc2nN6fpj\nt9u56Qn4pBaLOspzuRx7qi3sPVrYI90D1KkXjUYRj8extbXF6pjytvV6nW0VCoUCcrkct+zmcjnO\n089DbuC0yFSP0+l0MBgMuLvs5OSEDwprFwoF3lXJk/h+INPW6XSKUqmEvb09dLtdFAoFbG9v8zwp\nOunJJycUCnHUolQqcbea5G6gCyJ5kNHFi9av3++j1WqxtxzV0FwnFUiFs+IMsu3tbbzzzjtIJBII\nhUKwWCwsxlutFqrVKk5OTnB4eMhF7PV6XZ6/14Q6MqlRgLoCyaCVhjFT5IrEValUYhPHm0CDt+Px\nODweD2+6B4PBTOkHXcNlDd1iEbvzvV4v1zyHQiEWVJFIBB6Phzc2880pZLFDJs9iIwOdp+L4M7PZ\nDIfDwXWT4uPQ90yn05kB3263m62YyAeLngd1Mvp8PrhcLq6vXhQPSlzZbDZEo1E8ffoUOzs7WF9f\nRzweRyQSYVFEu6P9/X3s7+8jk8mgWCyiWCyiVquxcJqHdtGiJX6v10On0+FQ4nA4xNHREZ49e4Zn\nz55xBIuK5SltJbl76KQbjUYolUrodrsspHu9Hjc8eDwedgOmehCLxYJ2u42jo6OZk1SyWERrDKp1\nIs8aErjdbpfFlWjeex2RQ+KK3J7X19exs7ODd955B+FwGBaLBWazmc1py+UycrkcUqkUi6t6vc5p\nSMnVIS+xaDTKqSBRXFF0g2quSFz1er1bOWO73W5sbm7i/fffx9raGs+J7Xa7+NrXvgaj0cg1dePx\nGN1uV4qrBWI0Grk+ORaLcUlOLBZDIBCA3++H1+ud2VSJ6T8SQuSQXiqVcHx8jJOTE246K5fLfE+d\nTCbcnESNKQQ9DpV6iLW10WgU0+mUfS/p95O4ohFKrxrBdBtWXlyJrfUU7n/06BEURZnpEKPoUaFQ\nwMHBAddW0Y60VqtdOtmeFklcKPFDILZtHx8fo16vs8qWF+X7hdYJ+GRkjkajQbPZhMPh4DlVo9EI\nBoOB0xN0EtEJSqFqeeFdHHTxopSB3W7nIlaj0cgXV9rM0C5T7N68ziZFFFdkSBiLxRCPx+Hz+Xht\nabwO2S6Q/Uo2m5Vjbm4INS1EIhGufQ2Hw3C5XFxr1el0UKvVUC6XOZtwW+x2O6LRKB4/fszzKT0e\nDw/oLZVKyOVyGI/H6HQ60tx5AYh2CVTTGIlE2Jx3e3sbsViMO+3tdvvMz9M1m+6lFBAhO469vT0c\nHBzw/L9SqcTXgvF4PGMI7HQ6+XEpFUgH3e+pQYImtAwGAx6FReLKbrdjPB7D4XBwTfWiWHlxRfUa\nXq8X29vb2NraQjweRyAQgMlkwmAwQLlcRiqV4tqqk5MTpFIpFItFTtdddrGmLgLRHZYO2n2NRiN4\nPB6e4E653ctEm+RuEYUR7YIODg7Y18xgMHAxs5geEJ28L3osyfUR659oHlwwGORoBqUI6IJIkxDo\noHqL68wSnBdXbrf7whD/aDTiMRgHBwdcZ3Xd3yf5BEoLRqNRPHr0CNFoFG63GwaDAf1+H9VqFbVa\nDQcHBygUCjMegrdBLEgW049iLY3P5+PxJ5LbIdqqzBt1r62tIRwOc80z3TPnoc1Uv9+fGaJMUWRK\n5ZJbf7PZ5A2PeH72ej1YrVZ+XDEoQm7rnU4HnU4HrVaLH6/RaMw4v5NtBACuyXrrxBWFnHd2drC1\ntcUWCXRB7nQ6ODk5wfPnz/Hhhx+iWCyyxQKF+q8irih9QWkEsaXfZDJhMpmw0PN4PJxClMahqwE5\nP5dKJRZWer0ebrcba2trM87tovcJ+Z7IqMXtIXFFzSdutxuhUIijSGQYSDvSeXE1GAyuLXQuEldW\nq3XGkJBSyPV6nTuHc7ncTOG8tF+4PmJa8NGjR/B4PFzj2Gg0eONLYnZRnbnkBO/1elnMUQeamCKu\n1+szhcySm0HvKwUWkskknjx5gqdPnyIcDnMtFIlc2kCJkE9hs9lENpvF4eEhDg8PORBSKBRQKpU4\nqkU1tXRQ7XOtVpu5lgOY+T6KYFEZgCjWptMpX58oa0H1Y2+NuKKTwW63c8h5Z2cHyWQS0WgUDocD\n5XIZ9Xod+XweJycnUFUVX//617lT8LKI1bz5mcVi4c4Cm802E72iTkKXywWXywW3241Go7HwBZHc\nDDH1Q6NLms0mvF4v4vE4Op0Od4NQ/p+ilTQOSd5cb48YAbbZbHC73QgEAnzOUt0VpeHmhdV1fItE\nU0CKkoVCIXg8Hl5rsdiVdszkTVetVmd2x5LrQ+NEgsEgt9sTg8EA1WoVmUyGRwr1er1rPf5Fg3+1\nWi2bVJLhs/h8qPDZ4/HAbrdzKlpyfcQUv91u50HLGxsbUBQFn/rUp+Dz+WbGywCfXI9F0dPtdtFo\nNFCpVHB6egpVVfHhhx9yiQ11Cb+Oy/4fAKf+dDod6wAq3zEajawJSJAD4GjWIj8nKymuxDfH4/Eg\nHA4jmUwiFovB4XCw58np6SlbLLx48YJ3RlcxHpwf9hyNRrlAnmafeTwemM1mHmsjL8CrD7Vsd7td\nGI1G3rXU63Ue9EyGsHRxFqOQ0qfsdtDNjeqsHA4H+9vQOU0F7TSG6iadtuK4I6vVCo/Hg2AwiGg0\nCr/fz+OuBoMBX1hPT0+RzWbZBZw6gaWgvhvIIsXlcnFEaz7icNnPU9aAzleaP/f06VNEIhHZ7XuH\nkD0RBR2oaH1jY4MnoFAR+EXz/0hQ0bVVnCFJxeti6c6i6pZFyybqYiUrGDFlSRktaq65rlnxZayc\nuCKVbDAYYDQa4XK5WFxFo1GYTCZMp1M0m02k02lOBeZyOeRyOb5gXtZ6Oz/sORaLYWdnB48fP8b6\n+jrC4TCLK1LkUlytPlQoTeFfunnX63X+TFFdBgkAj8fDtTdSXN0OrVbLXTjUhk2pdXGwuSiuaNTJ\ndTsExYJ5j8fDETIx/UgdY8ViEalUCrlcDuVymaPb0uH77iDhS+fYdcUVRSTtdjtcLhd7aEUiESiK\ngnA4zO31ksWj0+l4Xq/P58PGxgYeP36MJ0+eIBgMwu/38/3xoojPdDpFr9fjuruTkxMeN0cj44rF\nIprNJgdEFoFYjxcIBHg4tMvl4nQgpQ8pYv5WiCvgkx2LxWKZiVwFAgH0+312Vk6n0/j444/x1a9+\ndcY4TgxJvg5x2HMsFsOjR4/wwQcfIBqNcuEe7Yw0Go3sCHwAUG0NrRXdvOv1Oq8pCQA6AT0eD3cV\nSW7HReJKjFwBmLFioMjiTcQVpfLpd1HkyuFwsIgWx1SRuKLIldgNLFk8YlPDTcUV1U+JptGPHj3i\nAmoZubo7SFyR3cLm5iaePHmCDz74YGYKCm2YXhW5qlaryOVyOD4+xosXL7C7u4t8Ps+pwEXbZJBN\nhM/neylyJT5HElcUkHnjxRXl0+kNCYVCcLvd7FNTrVZRLBZxdHTEhXA0MFksgBMfjw66GNNNdn7Y\nczKZhN/v5zw93QzImoFmWlUqFRQKBdRqNTaok6wOtP6TyYTdv2kWocVigcvl4pPqpjd3ycXodDpu\nmU4kEggGg7Db7dw0AIA7eiqVCjKZDNLpNKrV6rXqcQwGA3w+HyKRCNbW1njUChWy0/lKI1d2d3ex\nu7uLdDrNUUpZY3d7qNC43W6jVqthPB5zJ5YYuSLbhPF4/P+z9+ZBkm7pWd+T+77va2Vt/fW9d9RX\nczXWwkhCstFiB+BAEWYJhy3E4E3IoAgMVshIFhZgB2GMCDBgI5CEcdiBbNlWWBEsRrKRkKWZwaOZ\nO7e7v9qXXCr3fd/8R9X73pPZtXV1Vldm9flFZNS91VVZmXXqO99z3uV52W+IIOf14XDIotloNLKw\ncjqd8Hg8PKeOOhLFpgVC7Ag9PDxEPp9Hq9WSWYdbQmNsdDodRwvJZmF9fR3BYHCm+Ht+dI1oDtxu\nt9lsm7r4KRVIafnhcPjGayN2KOv1et4XxJmG8x5WtAfRwHhqflvk38nSiStxHhldSE6nE3q9nmfJ\n0YDXdDr9ioHn/GY5371EQ2QDgcCVw55p1A3dEMiKn9p6S6USstks+2hIcbWciCenXC4Hq9XKbtK9\nXo+FcqVSYX8lyZthMBjgcrm46DUUCrG4AsDRok6ng0qlgkwmg9PTU5TL5deyNDEajQgEAtja2sLT\np0+xsbEBv9/PaSK6WVO32osXL7Czs8MpQdpEpbh6M6bTKUcgy+Uymz1S3azVauWbsEajgd/vx3vv\nvTfzHJ1Oh7MOFC2x2+2wWq1sjSOmF6lh4Sq7DXHMDs2Wlet8O2juHs3njMViUBQFH3zwAc/opBrk\nyxq5aPwQFa7TPF9VVbmLn+6b1Bm8CChwYrFY+N6+sbGBRCLBZqYi81G1SqWy8Hv50oqrUCiE9fV1\nNqSj+plCoYD9/X2oqsriisKKl11AosWCw+HgEzVZ4l827JlyyGR2SLU4nU5nRlzd1uZB8jDQ6YTE\nlSisRHFFNwW5jm+OXq+H0+lEJBLB+vo6AoEA7HY72yHQ9dTtdlEul1lc0fSE2yKKqw8//JBrQEwm\nE/r9Ps8srFQqOD09ZVNhsn6QUavFIYorinpQ4wgJJOo0297exmAwmPn+er2OSqWCarUKg8HA7f6U\nwqfnFA2l6fPzN3jRCX53d5dFtlzr2yGW5LhcLi6XefbsGYsXsftyPhVI5RUUlT46OsLLly/xta99\nDa1WiwvcKXK8CHFF9dN0eCZxtb6+jng8Do/H80ptHo3doXtDuVxeeBZqKcUV1cN4vd5Lbemn0ylH\npCwWC5xOJ4eh6SNdkORbRbn/eDzODwobRiKRKwc2jsdjNJtNVKtV5PN55PN5Vt6y+Hn5oTB1t9vl\nVn8SUqPRiNPJwOVRDLEV/Lrp7WLLsfi5dw1xo6N6K2pxFv1nqJhdjBzO33Sven5KHVG9pN/vZ/NC\nGlMlXrN0Yq7Vajc+92UfL1tbyTmTyQT1eh3pdBrPnz9HrVZDKBRCr9ebGS1FYshqtbIrNh1M+/0+\nzwUEzq/ZVqt17f7qcDjYFken03GdpWgaKc1Db4f49242m+H1euH3+7G+vs7j5QKBwCt2C8S83QKN\nsjk4OMDBwQHS6TQKhQIXjS96zqNGo4HNZkMwGEQ4HJ4Zi+f3+9kCRhyTQwa3+Xx+ZnD7IktDllJc\nierZZDJxJInGmASDQbRaLV4g+jw9SEzNO61TATOZgHq9Xj5VXwX5JtGQ13Q6zW39kuWHfHFoUxBT\nFOK/XZUmEr9G/L7LTmyik7Cs8XgVMXJFhoDkpEwdvtdBayH6k4m2LbQmVM+VyWSQy+VQq9VuFG7z\nfxP0Efh0bWVk81XG4zGKxSJUVUW320UikUAymUSlUoHNZuOvo4Ow1WqFyWTikUe0/vQQP3ddxGlz\ncxOKokBRFJjNZv6eSqWCVqt1K6Eu+RS6rsi0e319HVtbW0gkEixgL7NbAGbHz7TbbeRyOaiqiq9/\n/evIZrMzY2zu476p1WrhcrkQj8e5djoejyMQCMzYL1B9II3BKpVKSKfTPIN40YPbl05cAbOhSSos\nF8VVIBDgFAJFumjOoN/v5yJIp9MJm83GIstsNsNkMs08bjKYGw6HqFQqODo6wvPnz1lcyZvnajAv\nrsRTmtjsAODSzjES+1SDd5mnC20udHqeTCYzUY93GfFUK27C4lxBCsffdE2Ja0lrQsJKXJNer8dG\nhblcjhtebnru+b8V0eFd1uNdzmQy4cHp1F5frVbRarVmhuuSrQ7NmKT5b7Q2dP2Uy2Wk02mk02lU\nq9Urf+63fuu3wmg0IplMQq/X8/xCyirI9bo94t89mXY/ffoUiqIgFovxAO6r7pPiKKtWq8Xi6itf\n+Qra7TaL3fsyahbF1fvvv49YLIZwOIxAIMB+d3SApnKBRqOBYrGIdDqNg4MDlMtlntawKJZSXFHY\nrtPpoNfrcZskFTv6/X5MJhPo9XouvKOBjtRdSIN7SaBRyyjdAElFU9pIvHGKNwGq8zo5OcH+/j7y\n+bwskFwwV4mWuz4X3XhNJhNHKUVbAKrBozqQYDA4M/hTRDSaFaMl8+JKdBmnmq5575R37W9m/v2K\nYXlqEiFrldsgFtuKBc9iAwoAtmqhdGCr1eJONFE8iR1GYmRTfK202cqo1eVMJhM0m012zqYIxWg0\nekVcidmCarWKarWKSqUy83eSz+exv7+P/f19FItF/rzof6jX65FMJjnSIA6HpsJkKa5uD5kq00B7\nqldaX19nMXzdFJLL0m1kFEqfX1QwgvZd8iqkOZKJRAKpVAobGxsIBALweDxcLkQZBRqdU6lUkM/n\neXB7NpvlAvtHXXMl5vCNRiMmkwlMJhMbelosFi5cdTqdCAaDaLfbnH93uVzszkqtulSQPhgMUK/X\n0Wg0+HucTidcLtdMVItmErXbbf7lZ7NZPgUv2pfjXYUuFLq4KQV8l+eh5yKPE6rJiMVi/CD3bqq/\nS6VS+MZv/EZ4PJ6ZdnARi8UCm83G6Qza4MXXOZ1O0W63ueupWCxyfR51oNxXSPxdgiLXZPXg9/vh\ndrtht9thNpvZOkU8nFHKcTKZsCklPcRRViTOdDrdTIt2o9EAAGnTcUva7Tby+TwAzIzC0ev1bNhs\nsVjQarVe8SUEzovby+XyK4KbZhhSx2AikYDH44Fer2dxVa/XZeTqDlDAwufzYXNzE4lEgmd0vo43\nmRihJlG16NoqethsNiQSCU5Db21tYXt7m4fDU502jb0iv7vj42O2htjb20Mul2Mz4UW/3qUUV9RK\n2+v1+MQTi8U4VWg2m+F2uxEMBrkzSEz1iT4rJJToZEP2+5VKBZFIBJFIBKPRiOdTGQwGLoilbiZR\nXFFEQt4o3wwx8kNmrlR4eJfnoqiExWLhCCYVONKDopnU1r2+vg6NRoNYLMbrOp8+ops5RUHpb0yc\n+k4HAhLue3t7MBgM3E26yJbjdxmxLCAcDsPv93NEkqKVokEp1fBQEwN1sZGgikajLLqpS1in06FS\nqfB4DrEAX3IznU6HvaXEa4S6tun3LB5mxL2U/JHmxZVWq4XD4UA0GuVGJBrYTJ5mlBakSKXkdlit\nVu6iJ3FFGSC6l16XUZiP4pO4ug+DXtrnbTYbUqkUPvroIzx79ozLggKBAO/P9HdGf1PlchmHh4f4\n+OOP8eLFC5RKJRSLRfY4XPRrXUpx1Ww2uaWWPHMqlQqfOMk2Abi5c4uK16rVKgqFAk/ipqjCdDrl\nSd40Wmc4HKLRaKBQKMwIKzqRSe6GGGES0zCiU/pdHJfF+imHw4FkMskdI+RrRtFOGn8AAIlEAna7\nncevXDZbUPTWoQgJzZuki3E0GqFSqaBUKqFcLgM4P4FnMhm0Wi2Mx2NotVqZWnpDKCoZCAS4E8jl\ncs0UTgPgjV2sf6P9wuVywe/3IxgMYmNjA5ubm9jc3OT2fo1Gg2w2i/F4jEajgVqtxv8muRmKFpZK\npYU+L13b4XAYW1tbM7VA/X6fhwJTZkGKq9tDhtqUCozFYnxt3QVRXC0C8Z5BQROXy8Xi6vOf//xM\n+Qa9hnmD23w+j8PDQ3zyySf4yle+MlPKcR/BkqUTV8Cn7fMAkM1m8fHHH2M4HLLbM4WW6aQ5n0qi\nQZE0DZtC0NSeLbpB04gdh8PBrrP9fp/9cY6OjrhgU3J3aCwKDWGl6AGJF/p4l1lhYriYTOQozE2D\nXsW6HNHGYzKZwGAwsE3D/KZMrePkSkzPMZlMZmqs8vk8R0UzmcyMMalMCd4dsXuPJjdQKoBSvPM4\nHA7EYjG02214PB4unB6NRvw353a74fP54PP5YDKZ2Bqi3W4jk8kgk8mgWCzyFAaZFnx4yKvwKose\nyd2gQ4vf72d/MTHqeBOX1VYuCrHOjtbe6/VyKtDn83FkjQ5TVM9JzWh0PR8fH2N/fx+lUonruO9z\n/NXSiSsqJgfOT6C5XA7j8RiFQoGL1KgLkJTqfCqJcu/VapVrLsTi4ul0yhESSjGKlv5UlJdOp3Fy\nciLF1QKgAkRKs9ENkmonKGV310GsJK7E2g5aU4pYiQXLlCKij5T+mT9tUfG7WNBO5rIUbm42m1wg\nSUNJxckBizzFvWuIUUmLxQKfz4d4PI5kMgmfz3epuKJ2cq1Wi2g0ysaF0+mUhTLdQOhBtT5nZ2dI\np9MsrqibTUZCHhbqCqeZcVJcLY55cUWZnNcRHfflBUfD2c1mM4LBIBuAr6+vY3Nzk8UV1bWKDUXU\nwbq7u4vd3V0cHR2xYSiVatznvrx04grAjOs5pePECd0ksihNOJ9KonReLpfjYbzT6ZRHc7hcLgSD\nQQDn4orSUXSDFiNXx8fH7N4quTs0hJUcdDc3N/HBBx/ggw8+4JOo0+lcyJT7eS+ry4xASSiZzeZr\njT8v87WiU1K/32cjzHw+j9PTUxwcHHBNn1jvIyNXd4PEFY1S8fv9LMxpvtw8VIPl8XhmTqdi9NRg\nMMwUVQ8GA5TLZZ5ZenZ2xuJKrt3DQ6ldElfUhCTF1Zsj/l7vErm6T0hc0Ui8ra0tfOYzn8Hm5iaX\ne1BHoLgnk5lsJpPBzs4Ofud3fgeHh4czTS7A/XZwL8dv8BLEehbxc3Rj63Q6HFGYvyFXq1X2rRBr\naKgQLhKJIJVKIRKJsEEaDfLtdrvsj1MsFmVr7xsgRh2sViuCwSCSySTW1tbYoI66O6gj7z4vaqoF\nENvsRddw0Y6BHlTkPu/uThdxs9nk+ip6iEaG76KwEq1MxPcveoZZrVZ4PB5Eo1G0223+XrqJ0oNO\nrWazGWtra3j69Cmi0Sg3Jlz290IbMrm1D4dDbiygKHSn0+FNuNVq8RiedDqNYrGIRqOBfr8vI45L\nwlWRq7t0F0tmoeuF9mHK4IiIM3aHw+FM1Jfuy+RPSWNoqAub9s7r9kE6vIoHIKPRCK/Xy+l7ilhR\nTRjNAZ5Op9yAViqVUK1Wudv39PQUh4eHKBQKXMt9H8Xrl7G04uoyqCuEPCvEBRahlvj5AmKDwQCf\nz4dUKoX3338f8XgcLpcLWq2WHVtLpRKOjo6QzWb55EodiZLXQ7yZ2mw2hMNhPHnyBE+fPkUkEuHp\n9mazmdN294nYIix6LNFD7Bikj41GA41Gg4veSWjR11P4mS5oSkVTnc67Jq7EYtZ5cUVWBzS6JhAI\nIJlMzvx+qHD5soff70c0GkUkEoHD4ZgxGBahSBd9nm4IZPFyenrKUW2xk1jsNpN1VsuFOBaNxNVl\ng5slrw9F8OmASx2d81AAot1uz4yVE6cm0BrRWCo6vNx0/6TsAGWoKMMUDof5mo/FYkgkEtz5TfYr\n1K0tCqliscjdgMViEdVqFf1+f6GeWzexUuKKblaDweDaUSRiVELEYDDA6/UilUrhvffeQygUgtPp\nhEajmZmJdHx8zLb95MYuT7Cvj3gztdvt3Onz7NmzGV+y60YrLBIxokIbBW0WYuODOI6jVCrxxdps\nNjm6SRfq/IxCMqITfV7eJXEFYMYolMSVuHlOp1P21iGHbeBTMe7z+bgpQRxXJdbQid1981BdnF6v\n5z2AxNXh4SG++tWv4sWLF1yLRelbOpnT65bdncvDfOSKPAyluHpzRFFks9kuvaeKnff1eh1Wq5Wj\nzGLTCT0PNYzQdIN5PzOR+ekINpuNzZ3X1taQSqWQSqUQDoc5delwOFjUjUYjFlfPnz/nsVdnZ2ec\nQaAC9re5H6+UuBJvjrdFdJ+dN5SkLrLRaIRGo8FDHE9PT1EqleSMqjeEbpa0Bi6Xi9voxQnrohgW\no0bzkQMxUjk/pkQcUSNuDKIjPwko8dFsNmcMQMX5Zt1uF+VymcPNzWZz5mYsjnMQU47vMqPRiAv8\nT05OeJKC3W5nYUUbaDAYRLfbZY854FwYUSrA6/XOdPcZjcZLf7+UsiBxJEYXxQ5hKm49ODjA0dHR\nvbdiSxYL7SWUMpIsBjHDcFUhO1kk5fN5ZLNZ7tzrdrszhx4y/E4kEqjX68jlcjM1UeJeCYBrIcm/\n0mazzfjPxeNxfpC7P+0llDloNps4PT3l+b9UL1ksFh/Un26lxNVdoNZ8UsHr6+uIRCLs7guAbfHP\nzs5wdHSEdDqNSqVy67EckssRL1qqnyHHc2qvBcBz5sirplKpcK0bQXVb9BDr7UTXbdH/bDqdsgdO\np9PB2dkZn2iq1SqazSangERRJ9ZYiUKMnHxFe4V3MTJ1HcPhEKVSCfv7+5hMJuh2u5zqo9FDlBYM\nhULQ6XQIhUL8/VQXabPZZkbc0Fiqy5hOpzNWCpTiow5AeuTzeWQyGRQKBe4eljYZEsnNkLn38fEx\nXr58ydNRgsEg10R5vV7u6tvc3IROp+PGA2oUm69pnUwmMBqN/ByU+o/H44jFYmy9QJFrsZayUqmg\nWCzi7OwMe3t7ODo6QiaTQa1Wu7Qs6G3z6MWVuNg0MZtytqL78ry4qtVqMmr1hoiRKxJXJI4o4iSG\njSl6eHp6itPT05nBrVqtdsYTi27AVqsVDoeDIyRky0HRq8FggGazyRvDzs4OdnZ2UCgUWDRRHR9d\n7GLNkFjEKf77ZfMC5U36/PddLBYxHo/RbDZZWJGAolQCDVR1uVw8948g4U0fxbmBwOW+Ot1ul8UU\n+Y1Rp3GhUEChUOB6OHIAl5FGieRV6GAqQuLq5OQEH3/8MdxuN6rVKhqNBnq9HnQ6HRfEB4PBV4QV\nlWFQZJkizaPRCBaLBbFYjK15SFjF43GuARNd1ylqValUeI018uQAACAASURBVObv3t4el/OI/oIP\nyaMUV+IgYHL13djYwPb2NuLxOOfs6/U6d3uJG3KpVOIoheTNEPPp4lBlMa8v1kCR6dvu7u6MI75W\nq505IXk8HjYipdOPzWbjTYHEUavVYv+io6Mj7O7u4vnz5ygUClxrJSOUi4NS7OQB5vV6EQwGeczU\naDTijiASxvP1HeKpljb60Wh0ZZ3lZDLh+jjq+js5OcHJyQny+TynCFqt1tv+dUgkK8dVqfdOp4Ny\nuYzT01Nu9Op0OjzlhGwcKDPhcDhmxhxRhoCyAnRwtVqtSKVSWF9fx9raGo+li0QiM4X1Yqc2TVA5\nPj7G7u4ujo+POSOxLI0oj1JcUWupyWRCIBBANBpFKpWacXWeTCY8Q4xCndlslu0bqKZGcneoRk6s\nhaEuOzHHT19LRZPNZhOlUgm5XI6fS6vVot1uo16vo1QqIRgMIhQKsbCi6JVY+0TeReTMSx5U9Xqd\nL/SHPt08NkQhRILn5OQEDocDtVoNgUCA66zmU7n0/b1ej2vexMinGM2aH5zdbDaRy+Wwu7vLHndn\nZ2ecXl6WDVcieQx0Oh0UCgX2f7Tb7fB6vbBYLHyYppmFo9EIZrN5JmIlNgOZTCaeBUsDo6lgXoQK\n6lutFs7OznBycsL372KxeG3R/EPwKMWVwWDgsSWUwyVnV0pLjcdjVCoVHBwc4Ktf/SqOj4+RTqc5\nzCk7BN8c0U+KrA+oCJG6TOgmSeKK5joWi8VXxFWtVuNUYKfT4dE1drud8/nAp5EPsQOUukjOzs5m\nRprINV4sJK5okyNxpdPp2M6C/h5oMOxl4oqmLIg1dWT4ShFQYjKZoNFosLg6OztjWxWKTEpxJZHc\njsvSgvNQ80+hUMB0OoXP50MkEoHb7eZr1Ww2IxQKwWKxIBgMvlJ2QQ8abeNwOGC323lE2ry4oo7f\nYrHIwuro6AgnJyfcmLRM+/mjFFdGo5H9UMgnI5lMIhaL8Q2fbrwkrgqFAmq1GprNpqy1WhBi5IqE\nFY2LoborsQCdxspQirDZbPJzaTQaLlqmQnan0wmfz/fKaCMqkBdDxy9fvkS5XEa9Xke9Xpcp33tC\n7Ogdj8col8vQ6/UYDoczXZZUSD7vb0YDk0ulEvL5PCwWC2+6lEKkonhiMpmg1Wohn8/j4OCAZwLS\n6BqJRPLm0KHGaDRyZLnb7cJqtaJcLqPRaKDT6cBgMECn03HjkdfrvTRDQPs12aZQPZXYUSh2ZJNR\nKM0JPDk5YeNfus/IyNU943Q6sba2ho2NDbz33nuIRqOwWq2sfCm1tL+/j2w2y47aFLGSLAa60dJk\n8rOzM+zv77OhaDgchtls5u6x6XSKZDKJTqcDi8WC999/n5+LLkB6UB1POBxGKBTiKEi32+XauXQ6\njRcvXuDk5IQ7SGTb/dtDjEIBn9ZGFYvFmdo5m83G30PpenpQy7fH42EbD7L2EJlMJhwdlcOyJZLX\n47IRX+L1Q+OkUqkUN3uR6CFz6FgsBqfTCavVOtNYdJUX2WWNKaPRiEUbTVEgE2fq+C0UCsjlcjg9\nPUWtVuOD3LJd749WXCWTSTx79gzb29uIRqOwWCzcvkkFrwcHByyu6MYrxdXiEFNEFFnY39+HTqfD\ncDiExWJBKBRicUX1V2azGdFodCZyBWDG14oiGTTEm4ooO50OcrkcPvnkE7x8+ZIduavVKnq9nlzj\nt4gorqjAvVQqsVcNpQJEoUR+OvTwer1spdLtdmE0GuHxeF75WWKElGrplm2zlUiWEXHuqiiqRLGl\n1WpZXIlzOo1GI9xuNwKBAAKBAFwuF9dFis1M1xlEi5Y21IRUqVRQrVZn7HNotI043qZer/M9Ztn2\n9UcprlwuF5LJJD788EOkUimu0yFTyKOjI7x48WJGXNHsI7khLw7R0qDdbvMA7uFwyBYZVDdF8+ac\nTiei0eilZrHiJiCaiAKfXqC9Xg/ZbBaffPIJvvjFL3Kkkpz25Rq/PWg9+v0+19eJqQWqy5hP8Ylj\nhUKhEJsKAmCDwvmfI440kpErieRu0B47f+2QuJpMJmy5QBM2aMbjZY75Nznoi6KKrmGxoWlvbw+7\nu7vY29vjGkrRSmWZa6MfhbjSarVwOp38IMsFr9fLw13H4zHPECMzQXJhl4XN9wtdPPT7N5vNyOfz\nyOVy7PZLN1rRJfiym+N86FqsxWq1Wjg9PUU2m0U+n0e5XOYRJ/Jm+zCI60jWCuRtRrVx4mxQ6vIU\n/XCoNo86BrVaLSaTCc+EpOL3RqPB8x/lekskt4PKNiqVCux2O4xG44zJM/CpP53T6WRHdRqXYzAY\nLh2XM494uBV9BSm6TbM9KfWXz+eRTqd5mDpFwHu93ko0qDwaceX1epFMJpFMJvH06VPO/9J4FfoD\nqlar3IlWrVbR7XblJvwWIH+SZrMJo9GIQqGAbDbL4WSPx8OFkFTkeBmXfb7f76NSqaBQKPDQ7XK5\nzOOLZPH6ciBeZ1QjRR/FrxFrKMhWRUwh6nQ6joZS91CpVJoRV8tW3CqRLCs0oL5YLMJms/G1Nj+8\nmcZPifYoYuZgPup1WU2VGKESB6pT9186nUa5XEalUkG5XOYUIHXxr9J1/ajE1cbGBp49e4b19XUW\nVwaDgVMFNBqDxFW73Zbi6i1BkYZWqwWtVstFiR6PB9PpFAaDgcWwmP67DYPBANVqlaeik7hqNpsy\nFbhkzM9ivOwEKn6NTqeDxWKB0+nkNm1RXJEjOw1Zp6Hacs0lkttBh95SqQSn0wmNRsM+kQR16ep0\nOh5BI9ZozRfAXxW5Ip8r0ZanXC7j4OAAH3/8MV68eIFGo4F6vY5GozFjOCqOHFsFVlZc0SKbzWYu\nYF9fX8fW1hbPDqShzLVaDZVKhaMaxWKRlbCMarwdyCKBLshSqYTT01MYjUY+jdCAX0Kr1c4YSJI/\nEl2cdIHm83kcHh7i8PAQR0dHyOfzaDQacm2XmNtuklSjRfYLNDKJmiXIJZoOUDLFL5G8HmRLdHJy\nwtY4NNNTLEinKRuvg3hQos6/RqPBc0Db7TYKhQJUVcX+/j6Oj4/ZQ2vZTEFfl5UVVwaDAT6fj9uz\naW5gLBbj9m6dTodGo4FsNsvzh8gHh8wMpUP320EsOtZoNOx/NBgMWOROJpMZcWU0Grlo0mazcV0V\nRSxKpRK3556dneHs7IzHnZBzsORxs8qbr0SyDJBNjs1mg1arhV6v5z2XamDnU4S3hWqryPOOaqgo\njV+v11GpVLj+lnwmH8PBeKXFldfrRSqVwtbWFp48ecLiymKx8Cm30+kgk8ngk08+wYsXLziFQOlA\nObz17UEFjHSh9ft9VKvVGXsEp9PJX2+xWBAOh6HT6WAymVhUlctlnJyc4OjoCMfHx2wASyaw1Gkm\neZyIp2GJRPJmUCc3ZQ+cTicikQi8Xu+lExFuy/yEjkqlgsPDQ3zyySfIZDKoVquoVCqczidjUrpP\nrPr1vVLiihZZp9PB6XQiFAphfX0diqLwwEfywBkOh2i1WigWi8hkMtjf38f+/r506H4g5rvGSATV\n63U+GWk0mpnIlc1m45RPu93mAbzFYhEHBwc8L5C6AmleoLzxPn5EOw5qAZ+vA5FIJDfT6/XYjshq\ntcLv9/PYGrIxslqt1z6HWMROdVWj0WhmUDPNeFVVFel0mr2s2u3223ibb52VEldkNmmz2RCJRJBM\nJpFKpbCxsQG/3w+73Q6tVotGo8EdBzs7OxzdoIG9q9DG+ZiZL2auVqtIp9Psf0WYTCYcHx/D4/HA\n6XRyvp7G2uTzeZ4TKLbfyxvr44d8s8gvi+rySGgto6mgRLKMkCs6AB4hZTAYUKvVZiYpXIUYSabO\nQ3JVpzrI4XCIo6MjHBwcvDLf9bGycuLK4XDA7/cjFotxEfv6+jqsVitP5G61Wsjlcjg+Poaqqjg5\nOWFxRe2fkoeFwr6TyYTHKVQqlRlvFbFpwWQysfs2FTFTQSSZRoreRlJgPX70ej2LK5PJxN48VL8n\nI1gSyc2MRiO2OSgUCtDr9eh2uygWi2zgGwqFrvx+0beq0+lw/WuxWOQI1nA4RLlcRrFYRKFQ4H1b\niqsHRGzLN5lMcLvdCIVCSCQS7GuVTCb5Zk3dgZlMBqqqYnd3F6enp9whKFkOKKowHo85VSuRzCNu\n3FSLAYALb00mEywWy4zAkl2DjxP6O6BGpPl5eJK7QQIIAM+CJT/IWq3GRsxXIfpXNRoNroVNp9O8\nVvMzA9+FRrKlF1d0OjUajQiFQkgmk9ja2sLm5iYikQjsdjsmk8nMmJOdnR2oqoq9vT2k02kumpZI\nJKtFt9tFpVJBOp3mqPVgMODZZg6HA8PhED6fD36/H4FAgFMOjz3t8C4xmUzQaDSQy+Wws7MDn88H\np9MJh8Px0C/tUUFmz+RHqNPp0O/3USwWr/weOgCJg9kLhQKazeZME9O7Zu679OLKYDDAarXCZrMh\nGAwimUxie3sbW1tbCIfDsNlsLK5oSO/u7i52dnawv7+PQqGAVquFfr//0G9FIpG8JlRsazAY4Ha7\nkUgkZsQVpf68Xi8LLHHOpORxQE0w2WwWu7u76Ha7iEajsFgsD/3SHhXj8ZjHhdGszkqlcmNBO2WO\nyKy71Wqh0+m8Mu7mXRpLtTLiyu12s7hSFAWbm5tc3E7i6vT0FM+fP8fe3h53BzYajUfR1imRvItQ\n5Go4HMLr9aJer7O4ElOBYuSKZhbe1ZtHsnxMp9OZyBVwbtXi9/sf+JU9LkhcUYd2pVLhLtzbIIqp\nqxzb35V78dKLK4fDgXg8jrW1NWxvb2NtbQ1+v58Nzmg2Gc0YS6fTXLy+KgMeJRLJ5YidTLlcDi9e\nvIDJZEI6neavGQ6HUFWVbTmazSb6/f47UdfxrjCdTnlId6FQQCAQQLfblXV194DsuF4MSy+uaLTN\ns2fPsLm5yQ7sJpOJw5Dkl0QzA8vlMtrtttxcJZIVh2pAJpMJcrkcdDodKpXKTGv4eDxma458Ps8p\nCXnjfTyQuGo2myiXyzy+TO7xkmVlJcTV2toanj17hlQqBZfLxQN++/0+RqMROp0O6vU6D3GtVCpS\nXEkkjwDq+iMjwmq1it3dXRgMBv4auvGSTQfVdsjr//FwmbiSkSvJMrP04mowGPAFZTQaUS6XeaAk\nDe9tNpvY399HNptlx1dy6pZIJKsLtXkD4IOU5N1DFFc6nQ7pdBp7e3uw2+0Yj8c4OjqasdyR3eGS\nh2bpxVW5XMaLFy8wGAzgdruh1+thMBig0WjYz6bX6+H4+BgnJycsrN6llk+JRCJ5zIjiajweY39/\nH4PBAGdnZ5hMJiiVSjzIvVQqPdqRKpLVQfO6AkSj0bxVxWK329nPxGg08gwxADPGodT+2Wq1ZgY/\nrrLAmk6nD+KQ97bX+F3modYYkOv8NpHX8ptB4470ej30ej13itvtdrbd6Pf76PV6/N9v235HXsvv\nBrdd56UXV+8yckN+/MgN+d1AXsuPH3ktvxvcdp219/1CJBKJRCKRSN4lpLiSSCQSiUQiWSBSXEkk\nEolEIpEsECmuJBKJRCKRSBbIaxe0SyQSiUQikUiuRkauJBKJRCKRSBaIFFcSiUQikUgkC0SKK4lE\nIpFIJJIFIsWVRCKRSCQSyQKR4koikUgkEolkgSx0cLOiKBEAT1VV/bU7fO93AfhpVVW/Y+7z3wjg\nrwOYAOgB+GOqqmYW8HJv85r0AAaqqmoVRflBADpVVf/eFV9rAfD9qqr+b6/x/P8AwD9VVfUX5j7/\nowD+bQB9AL+hquqP3flN3AP3tM7fgPN1BgATgB9WVfUrb/pab/maHmqdfwTAvwtgDGAfwA+pqjq8\n6/tYJPexxsK/JwB8HcDvU1X1n7/RC739a3qQNRb+/U8B+FFVVdfv8PLvDblnP/49+57WeAvAzwLQ\nAJgC+IKqqvsLeLm3eU0PtcZ/HMC/B2AE4HcA/IiqqlfaLSw6cvWvXjwWyd8F8BdUVf3dAH4Gn96A\n3yqqqv7CVQt4wUcAfuA1n3Z68WAuRMZ/DOA7VFX9dgApRVF+/2s+731zX+v851VV/S4AfwnAX1nw\n89+Kt7jOn8H5On9eVdVvA2AG8Ede83nvk/tYYyiKogHw3wF4vujnvi1va40JRVGeAPg3rvr3B0bu\n2a/HKu7Z97HGfx3A37hY478G4G8u+PlvxVtc4ziAPwfge1RV/TyAGIA/fN2TXBu5EjbC9y6+9ouq\nqv6pi3/7AoD/EMAQwK8B+DsA/uLFv1UAOAHoVVX9iYvPHeF8gfMA/j4ALwAbgP9FVdW/fN3LAPAb\nF//9jwD84g2v+ecBtAFsAogA+HlVVf+qoig/BWAdwBqAPw2gCOC/BWAFYAfw46qq/jNFURQA/+Di\nOf5v4Xl/CucK+ScURfm9AH4S56eyHQA/ivMNxa0oyn+lquqPKYrylwD8LgAWAP+Pqqp/VlEU7cXX\nfQbA8cX7nx8C+RTAV1RV7V38/y8D+H0XH++FJVnn71FVtX7x30UA/hte889jtdf5EwCfEyJVJQC+\n697zm7Aka4yLn/NbOF+jawegPoI1xsXX/U0AfwLn+9e9siTrLPfse9yzH3qNFUUxAPgOAL/34lO/\nDOB/UBTFcFXk/RGs8e8B8KuqqjYu/v8XcX5g+p8ue7/AzZErN4CPVVX9jovT9fcqivK+oihrAH4c\nwLerqvq7AEQBGAH8HIC/r6rqX73kuUgJBgD8sqqq343zBfpxRVHs17yGr+BT5fm9AMyKolx3450C\niKmq+v0AvhPAn1MUxXvxbylVVb9LVdV/CeBvAfgrqqr+awD+TQA/qyiKDsB/DuBnLyIoX5t73qmi\nKFac/8H+66qqfifOb4ofAfgvAfyTiwX8twBEL37WtwDYulj43wNAUVX1XwHw7wD4EK+eZr8K4FsU\nRQlevJ7vw/nv9z558HUmYXWxcfynOP9jv46VXmdVVaeqqjYv3vM6zi/Uf3jDe34THnyNFUXZAPCH\nAPyFuee5ipVe4wv+DIBfUVVVveG9LooHX2fIPfu+9+yHXuMAgKaqqmMAuPhYBRC65jWv+hpHcC5A\niTxuWOObaq7qAOKKovwmznPJEZz/Yt8H8C9VVe0DgKqqPwQA5+Ly+tMozpXp5xVF+fcBDHBeX+O9\n5uu/AOBnFEX5YwB+BefKtXvDz/gnF6+rrijKDoBtnP+yfkv4mu8GYFcUZXLx/wMAQZyr17948blf\nFb5ec/F4D8Cpqqrli5/xYwDfOOi9fzeAb1MUhXLcTgApnP+h/+bF93UVRfnt+ReuquqOoig/CeB/\nx/kfyCc4V9L3yTKsM52IfgFARVXVv3aL172y6yy85/dwvtZ/XL3fupQHXeOL0+HfBvAnVFWd3PL5\ngRVeY0VRPsD5xv29t3ifi2IZrmW5Z9/vnr0MazwP1V5dx8qu8V3e703i6o8A+BzOlfBEUZQvXTzh\nBFdHvaZzHwnjxQv6UQAG9TxvCUVRite9AFVVd3B+qoeiKAEAP6aqavuG160T/lv8JQyEz/cA/AFV\nVSviN15ETmhhxecR39dNEb8egP9eVdWZuiFFUf608Nzzz8+oqvpzOD9tQFGUPwPg8Iaf96Y8+Dpf\nnE5+Cecnsh+/5ete6XVWFOV9nG/IP6iq6v97w896Ux56jRWch/9/9mKz3wTwzYqi/Aeqqv7GNd+3\nymv8Azi/MfzmxXuOKIryj1VV/b4bfuab8NDrLPfs+9+zH3qNCzgXQHpVVUcXh2IXZiM7l7HKa3wK\n4HuE/48CSF/3w256MUEA6sUCfhPOlaYZwJdwvjE6Ll7cP1QU5aOLF2i8+N4GgMTFv39w8Vz0nC8u\nPv/7cZ5bNV/1AhRF+RuKonz/xf/+MM5vwNehwblCxUXYcQvAS7yq3H8D5ykKKIriVxSFQqbPcZ6T\nBc5PneLz4uK5YoqixC6+92cu3scYgEF47h+4EAxQFOUnlfPuiucAvvXicw4A33LJ+3UrivIvFEUx\nKeedDj8I4NadDnfkwdcZwE8AePkawmrV19kI4H8G8IfegrACHniNVVV9oarqtqqq33aRyvgVAP/R\nDcJqpddYVdWfVlX1Q+E95+5ZWAFLcC3LPfve9+yHvpZHAP4ZgD948ak/iPN6pNE1r3ml1xjAPwXw\nuxVF8SrnUfg/DOD/uOb93iiufhHnYbR/jvNf4H+N886AJoCfAvB/KeehyQNVVf8/AL8O4IcURfnz\nF9/72Yvv/QLOW6+nAP4egD+qnIfmtgD8jxePq7pt/g6An1YU5bdwrtb/7MUv4fsURbnsRjwFUFEU\n5ZdwXtD3k+p5Edr88/9JAH/g4vX9Cs7/WADgvwDww4qi/CMAT3BeGEjPO1VVtXPxfv7Xi+91Afg/\nAXwRwHcqivKzqqr+EoB/gfMT62/iPGS7D+AfAzhRzsOOfxcXoUgRVVVrOL8wf+vi8fOqqr7ydQtm\nGdb5P8F5WPrXLh6/qiiK9rGuM87rCRIA/hvhPd9WWN6FZVjjS3nEa3zZ+7lvlmGd5Z59v3v2Mqzx\nnwTwBUVRfh3AHwXwI8CjXuM8gP8M5w0avwHg6+oN9g6a6fRtXO+LR1EUE4C/rF50SQif/zkAv65e\n354pWRHkOj9+5Bq/G8h1fvzINf6UVXZoj+PmjjLJ6iPX+fEj1/jdQK7z40eu8QUrG7mSSCQSiUQi\nWUZWOXIlkUgkEolEsnRIcSWRSCQSiUSyQKS4kkgkEolEIlkgUlxJJBKJRCKRLBApriQSiUQikUgW\niBRXEolEIpFIJAtEiiuJRCKRSCSSBSLFlUQikUgkEskCkeJKIpFIJBKJZIFIcSWRSCQSiUSyQKS4\nkkgkEolEIlkgUlxJJBKJRCKRLBApriQSiUQikUgWiBRXEolEIpFIJAtEiiuJRCKRSCSSBaJ/3W/Q\naDTT+3ghkleZTqeah/i5co3fHg+1xoBc57eJvJYfP/Jafje47TrLyJVEIpFIJBLJApHiSiKRSCQS\niWSBSHElkUgkEolEskCkuJJIJBKJRCJZIFJcSSQSiUQikSwQKa4kEolEIpFIFshrWzFIJG8TjUbD\nH7VaLXQ6HXQ6HfR6PT90Oh3/O339TYxGIwwGAwwGA4xGI4zHY0wmE4zHYwDAdCo7myUSiURyN6S4\nkiwtGo2GHzqdDlarFRaLBVarFS6XC263G263GxaLBUajEQaDAXr97f6kG40GisUiCoUCarUaOp0O\nOp0Out0uptMpptMpJpPJPb9DiUQikTxGpLiSLDUkrPR6PWw2GzweDzweD2KxGD88Hg+LLqPReKvn\nPTs7w+7uLnZ3d3F6eopqtQoAGA6HHMWSSCQSieQuSHElWVo0Gg30ej0MBgPMZjPcbjdCoRBCoRA2\nNzexvb2Nra0tBINB2O12OBwOmM3mWz338fEx7HY7AGA8HkOr1WIwGKDdbgOQaUGJRCJ5CMSMhVju\nIZZ8UGaBHuLnlwUpriRLhVhjZTab4ff74fP54Pf7EQ6H+RGJRBCJROD1emG1WmEymaDV3r4/w2Kx\nIBqNotfrwWw2Y29vDwAwGAzQ7XbR7XYxHo+X6mKVSCSSx4xGo4HVauUSEIfDwQ/a47VaLfr9Pkql\nEkqlEsrlMkajEYbDIUaj0dLs2VJcSZYOOqmYzWYEg0FsbGwglUqxqAqHw3C5XHA6nRytosL2215Y\nVqsVkUgEJpMJDocDANDpdFCr1aDRaDAajdDr9ZbmQpVIJJLHjlarhdVqhdfrhdfrnTlI22w2bmJq\ntVrY2dmBqqoYDAbo9XoAzhuVlgUpriRLB4WCSVxtb2/jG77hG2YuNIPBMBMuvm2XIGG1WmE2mxEO\nh+Hz+dDpdFAsFpHJZDAej/lilUgkEsnbQaPRwGKxwOv1IhaLYWtri8s/PB4PNy5VKhVYLBZ0u10U\ni0UA5/Wyy8RKiysxH2symWA0GmEymbhOR6/Xz6SKdDodzGYzLBYLTCbTTApKhLrFptMpRqMROp0O\n2u02d5PRg3K9MrqxOEwmE+x2O+x2OyKRCOLxOCKRCAKBAOx2OzQaDbrdLsrlMhqNBprN5pUXFUW/\n6GG1WmGz2WC1WmEwGGYK5QOBANbW1tBoNHBycoLRaIR6vc5hZrnGq49Wq4XBYIDBYIDRaITFYplp\nhKA9ZDgcot1u8zVPDym4JZLFQ/dxrVYLk8k0I6xSqRRisRiCwSCcTidHriaTCWcvnE4nH4g1Gs3S\n7NUrK67EBdHr9bDb7fyLFnO2Yms+LZzX64Xb7b4y6iEWy3U6HRQKBRQKBRSLRc7zDgYD/tplWczH\nAK1ROBxGIpFAIpFAKBSCx+OBTqfDYDBAuVxGLpfDyckJ0un0lUXoOp2Ouws9Hg8Xw5PwpgvRYDDA\n6/VibW2NxVSz2UQul5v5W5DrvNpQNJTEu9/v5wftHQ6HA51OB/l8HmdnZ8jn8ygWiygWi1JcSST3\ngNi4ZLVa4fP5EI/H8eTJE0QiERZWVqsVOp0OWq2WD0d03+/1ejAYDA/9VmZYWXEFgE0lDQYDHA4H\n/H4/AoEA3G43nE4nXC7XzC/cZrMhFoshHo8jHA6zOJsvhCYzyfF4jHq9joODAxweHuLg4AB6vR6D\nwQC1Wo0jV8ukllcdEleJRAIbGxuIx+MIhUJwu93o9XocNTw4OMDHH3+Mr3/962yjMI9er0c0GuVH\nv9+HwWCAx+PhrkKNRsPiajwew2g0srAyGAxLVSApeTO0Wi0sFgucTid8Ph+SySTW1taQTCYRDAYR\nCAQQCARQq9Wwt7eHvb09WCwWAEC73UalUnngdyCRPD7IbsdoNM6Iq+3tbfh8PrhcLrhcLhiNRg6E\nmEwmWK1WOBwOOJ1OtFotGAyG1y4PuU+WXlyR+KFfPqV4TCYTh/hNJhOCwSCCwSBCodDMKVQUV1TE\nHI1GEQwG+bnno1eiuGo0GjPK2mg0QqvVYjKZoNlscupgmQrpVhk6lVCqptfrIZ/Po9frcaqm3W5j\nZ2cHu7u7ODg4QL1ev/S5dDodut0uOp0OWq0WdDodPzILEgAAIABJREFURyxoPSk9aLPZWCx7vV4u\nnqS1lqwO5OJPkSqKZDscDrjdbng8Hhbw9KAIls/ng91uR6PRQLlcnmmYkEgki4furySYnE4nvF4v\nB0qojEen0/H3iFM6aA9/nW7xt8HS7xg6nY5rIdxuN4soUrJUK0Ht+j6fj2spzGbzzILQc1it1ldG\npcxHJ8Siap/PBwCcaqQ6jVwuh7OzMx6fIiMci2E6nWI8HqPdbqPVauHw8BDj8RiDwQD9fh/9fh9n\nZ2fI5XJotVqcop1Hq9WiVqthOp2i3W7DarXC4/EgEAiwoCIRZTKZuMbObrfzxazT6TCZTGR0coXQ\n6/V8APP7/YjFYohGo1y3R6kEn8/H+4bD4YDFYoFWq710neXaSyT3A2UPSFxRbazdbofZbF66iNRt\nWXpxJSraQCCAzc1NbG5uIhKJsLAig0l6zM+cI6hgjsKL9G+XbZwkrmiDpojH/MIPh0NUKhV0u115\nA14AVONE4iqfz6NQKKBcLnM0cTKZcETquqihRqPBZDJBu91GsViEw+FAMBhELBaDxWLhgncS6WTl\nYLPZOFrxOvMKJcuBXq/neoxoNIoPPvgAH3zwARKJBO8XYkSLGhxozyBkPaVEcv/MR67o0Gu32/nA\ns4p78NKJK/pF04Nqp1wuF9bW1rC9vY2nT58iGo2yUBKLVB0Ox5ULQTdtGtoLXH0ipeegDiOLxQK3\n2w3g02hav99HtVpFJpPh7kEZwVocVLx+eHiI4+PjOz0HdX4BQD6fZ7FGpnROp5NPTnq9HuPxeCb1\n3Ov1MB6PV/LifpcQ6ydtNhvcbjd8Ph8SiQQ2NzfxwQcfIJVKzewt4iBwEvXD4ZAHepMpobym7we6\npsQ0rpjqEdM80+l0Zl3EJhO5NquNeI+12+2cIaLSn1VlacSVeKGJgioQCHAqMBqNIh6PIx6Pw+fz\nzVyIFD6chy686XSK4XCIZrOJZrOJVqs1Y7kw/1poozYajewQS6ddv98PrVbLXWter5dTVr1eT9Zf\nvQH0u78q+vgm9Pt9NBoNFAoFuFwu2O32V2wcSGiZzWY4HA6eNdjv9xfyGiSLR0wrUP0l1Vaur68j\nHA6zmBZv5JQGJhFFj2q1ilqthnq9jlarJa/pe0AcbWKxWDha4XQ64Xa74XK5YLVaAXxaJkBd24VC\nAf1+n4WwFFerDWWI7HY73G43bDbbTPH6qrI04gr4tGvA4XDw5igWnVKBm1g3JdoxUHs9IQorElf1\neh35fB6lUmmmzV5EPNFarVZu36eQJRVGFwoFnJycwOv1ot1uQ6PR8EYtuRvioOZFFyoOBgM0Gg0U\ni0V4vV74fL5LPbLoFOVwONDtdtHv95euWFLyKRqNhpsg7HY7gsEgkskkUqkUUqkUQqEQXC4XzGYz\n39ABzAgqOhhRNLpWq7GPGkUvJYtDPMCSI7fP50M4HOaObsoUUNRqd3cXOzs7GAwGaDabXBIgG05W\nG1FcuVwuKa4WCd1QyeRTNBHb2NjA5uYmNjY2uJ6KbrrAqwKKQvgknEQB1Ww2USwWkU6nkc1mOY03\nf3GKnQgul4vTk+LcIwDIZDLw+/1wuVyoVCoYDofodDpv95f3SLmL6/pN0KZcKpUQCAQurdeiv0XK\n/69yQeW7ApkIO51OeDweRCIRJJNJbG1tIR6PIxgMcuQK+HSvoBFHYv0eOfVXKhXUajU0m010u115\nYFoAomkzpeENBgM3KkUiEayvr2Nra4sHsgPn60UzQKnGlepwqNlEetGtHrTHU42ky+Xibl2j0Xjt\n94pZp2Vd86UQV0ajcaZzJ5VKYX19nUP6fr+fDUEpTUSbI9VQURcZzRnqdrszvkidTofFValUQqVS\nmRFfIqLtgt/vh81mQygUeuV1zy/wsi7yKkGp20KhAJPJhHq9vtCU3LxxrCia6L9HoxG63S6fjmXq\nYfkQ19FoNCIYDPKekUgkEI/HEY1GebA3dX1SU8RwOGST0LOzMy4VaLfbKJVK3I1aKpWu7UiVXI+Y\n/qMDK+33ZH9BpR+BQAChUAiRSIQ7OOm6M5lMSCaTGA6HsFgsKJfLqFQqqFQqqFar/JCH29WA/g6o\nYSyRSGBrawuKoiAWi8HpdL6SLRADJsPhEP1+n+/t/X5/6Q5ADy6u6NRJA3ppc0wmk0gkElwbY7FY\nOEVEJxVRVNHm2Gw2Ua/X+VGr1fjCazQaM2MtxKiXCHUumEwmNJtNhEKhKy/aeQdveRN+M0hcFYtF\nGAyGhYsrEVFgiX8LFNEQxZVMPSwfYl1kIBDA1tYWPvvZzyIYDMLn88Hr9bKtBo3MoBqrTqeDXC7H\nqSaKUs0/2u02er2eFFd3QBTAok+hzWbD2toaZyT8fj97j4kehWT0SxmJZDIJq9WKcDiMYrHI9Vfp\ndBpHR0fo9XpSXK0Ier2e0/iBQADxeBybm5t4+vQp19xdNTmFDkcUPGm32yyulun+++DiCgBvjtvb\n2/jwww9nXLUpJUMqVrRPIHHVbrdRrVZRqVRQLpdnCh/Pzs74Ua/XZ9TvVVDNjdlsRq/Xw8bGxqUX\n7Xz6cZkWdlWhuijakO9DXF2WchQF1nA45MhVt9vFcDiUa7uEiDdt2j8+97nPcTH0vPmnGOVut9vI\n5XJ4+fIlvvzlL/OsykajgX6//8p1Ldf/btDeLaba3W43kskknj17ho8++ggej4cFFZk0z1+j0+mU\nTaAp6pjNZpHL5WCz2dDr9diyRbL86HQ6TgXOiysqy7kqckXd/vORq2Wri3wwcWU0GnmIbjgc5jEU\n1AnodDphMpn4FzydTtHv99FqtS6NUF0WqSLBValU0Gg0bn2qoRstbQp0sdMJitKR9FparZaMcCwI\nGsBJv/s37dSab9H3eDwc2bDb7TAYDJhMJtziTUXMdMFSt6C8uS4XlFqiOZTb29uIRqPcbUTu+wA4\nFdhut/mglclkoKoqDg4OUCgUOKotpy28PmIEWPQeFLsAybfI4XDA5XLhyZMnSKVSCAQCbOBK2Ynr\nIDHtdrsxGo2g0WhQrVZfGXUmWW5E0U1lOJQtuqredjQaodPpoN1uc1qYmk/a7fbSlW88mLiiwnXq\n7KF0YCQSgc1mY5NH4NMIUafT4VqIs7MzHqJcLpdnRqOIxam0GJd1hV2F6LtBY1hI5FE4klKRdNql\n0OSyqedVYzKZcORAq9ViMBjc+WY3X+vhcDjg8/kQjUZ5TJLBYGBB12q1UC6XUa/X0el0WFjJQtnl\nw2QyIRQKcfHzkydPEA6HYbFYZgZziyddmhP6ySef4OXLl+x7VqvVOPUnD0d3g26I5AdIPmNUT0Up\nWpoFJ07aEI2dr0PMXlDUQ6vVIp/P80FJsjqI9XgUwJjPUImMRiPOUlHtdLlcRq1W43rrZeLBxBWN\nrEkmk9jc3EQqlUIikUA4HGY1S9EiurHRtHqaKZfL5ZDNZpHP5zlMOBgM+KQ6/7gtJK7o9CW6d1M9\nTqvV4igH1WZc1nkoeT0oSjQcDme6gO4KDfY2Go2w2+2XiityfG80GjNRTrLVkGu6fBiNRoRCISiK\ngs9+9rMIh8MsrmjvuEpcffnLX8YXv/jFmXFKstvs7og3SbJVCIfDSCQSWFtbQyqVQjgc5tQf1cHR\nZATx5nrTz6GbLzl3WywWnqAh5z+uDmK0U8wuXNclTuKqUqnMNKZVq9WlvH4fNC3o8XgQi8WwtraG\nUCjE/lUiVKTY7XZxfHyMw8ND7O3t4eDggN22S6XSjGfN60JF9eTKTfPngsEg1tbWEAwG+XWJ4UzR\nHd5qtfJmLW/Gd4dSr4uAxtvQiZlOy4FAAB6PB1arFXq9HqPRiDsUT09PUSwW0Wq1WFjJmpvlQIxC\nkicOFUKLA5ZJVFELPx2ACoUC8vk8stksstnsQ7+dR4G4d1osFkSjUS7xIH/CZDKJQCAwM9LkTX4e\nAK7FpYg0GU87HI4ZY1jJ8kD3TtqXRZNwKgO6rIid9t5er4darcZp/VKphGazuXQRK+JBxZXL5UIk\nEkE8HofX6+XuEJFms8lpwKOjI+zu7mJvbw+ZTAaNRgOtVovHIbzuDVBcSOpaENuBo9Eoiz/qXqCh\nsFqtlk9o8Xgck8kEtVoNtVpNXtRLAF3INpuNL+BYLMYpCroZ63Q6jmpkMhns7+/j7OwMjUZjxjNN\n8vBQh5HFYoHH4+HohSiCAXC0ajQacaq3VCohk8mgUqmg1+s98Dt5PGi1WtjtdjYBJZ+qjY0NRCIR\neL3ema7Nm2qqbot4yJ2/UVMdrNyHlwvxcOR0OhEOh3lWcDgchs1me+V75mfNlkolnJ6e4vj4GOVy\nGd1u9wHeye140LSg2+1GJBJBLBaD2+2+9ETTbDa5+HR/fx+Hh4c4OjpCoVDAcDjkE8pdb4IksBwO\nB4/LWFtb41MXpY9IXNHMK5PJBK/Xi1AohEQiwR1lNMdO8nCIcyFJXFGzRCgUYnFFxrXD4RC1Wm1G\nXDWbTSmulgwSVxSxInEl1sYBn4oraoApl8scrapWq3KU0QLRaDTsip9IJPDkyRM8ffoUT58+hc/n\n4yJlMn5etLiiKIjT6eSDMdVqyr14uRBLNEhckUl4KBS6UlxRE1mn02FxdXJyglKpJMXVZVArJs2S\nohTNPL1eD9VqFblcDplMBmdnZygUCqhUKnf6ufOmdtRVFAqFkEwmuYuFZhh6vd6ZTUH8b5qF5PP5\n2NFZ5v0fFnFdrVYrAoEAYrEYNjY2EI/HuTtJjJJSLp9mRZIZ4bLl8N9VSCzTnE+6iXo8Hh6VIY5J\norpIqs84OzvD6ekpTk9Pl/60u2poNBrYbLYZE1c6oLpcrmu/V4w0XlavKkan5tvy6d+m0ylHrkKh\nEE/KaLVai32jkjeGsj42m41HHcXjcSQSCbjd7kszV+PxmMttGo0G79G5XA71en2po9APpgTEoamD\nwQBGo/HSWqV5EfQmg3wprUcK2uVycWcLdRxtbm6ys/O8cellzyfOIbxNUabkftHr9WxC5/P5sL29\njSdPnkBRFEQiEbjdbhgMhhn/IjKlo4uY0sySh2d+wK/P5+NC6WQyiWg0yjUbNDuw3++jXq+jUqkg\nk8ng+PgYe3t7OD4+RqFQkBGNBULRYapPDYVCcDgcNx4yxekY5FfU6/X4uhPHopDn4GVQzZfH40E0\nGuXmolKptPD3KnkzKFvl8/kQiUQQDAbh9/s5uHJZtyeNLKOZsFTETh3dy5z6fTBxJTqtUrv9ZVEC\nEldGo/GNB/mKpoMWiwWBQIDrqjY3N7mtm4QViaurOhikuFo+aB5kLBZDIpGYEVdkLkkbv2hKNy+u\npKXGciB2E4niig5B1PlJnWckrhqNBgqFAjKZDI6OjrC3t4eTkxO2Z5EsBkoLBgIBrK2tcVfgTeKK\nDjXUqVuv19FoNNi7ikST2+3muqrLfjYA9r2KRqMsrN6kaF5yP9B6hsNhRCIRhEIhFleiL50Iiaty\nuYxiscj+VvV6ncuClpUHFVeihb3FYrn0hkZRJvKcImsEinTNOyiLAk2svRFPQmazGQ6HA+FwGOvr\n69jc3ORwdiqVgt1un3kNV80QlNYLy8P8RkuDv+mxubk5c/FSHp/+BsV5lDJytTyIkWtKCSYSCaRS\nKQSDQYRCIfh8PgCfXvsUuSJxdXJygsPDQ2QymYd8K48SGmbv8/kQj8c5VXtdbdX8oabZbHJ7/XA4\nZCseOgjNd5DPQ81RoVAIrVYLR0dHPKRbsjyYzeYZcUXNRU6n88rvIXFVKpVYXNEou2XnwcRVv99H\nuVzG8fExLBYLRqMRTCbTK3l6m82GSCSC8XgMk8nEdU5nZ2czDumDwYAf4mmXcryiO7Db7eYwciwW\nQywW48L1+RMXha3puclAtN/vY29vD0dHR0in0+zyvMxK+rEy34VC9XNbW1uIRCJwOByvRDupOLJU\nKnHaiArZyeNK1ls9PDabja/Xzc1NrK2tIRqNwu/3w+l0wmg0vvI9/X6f6zTz+by8LpeM6XSKVqvF\nUzWy2SwymQyLX6/XC4/HA41Gw76FktVHbGILBoNwOBw3Gr+S/cIqXstLIa7IJ4VOoCI2m43NAan4\n3e/3s3koeV21220WWZT+Iz8c8jYin6NQKMSqmR5kbneVuCIRR47sjUYDR0dHLK6KxSKazebKLPxj\nglK9JpOJ3Z9pMKzH44Hdbn8lXUuDe/f29rC/v4+DgwO2YFj2cPO7hNVqRSgUQjwex9bW1oy4oij2\nPJdtyMvqhbPq3KUMgrqqi8UicrkcDg4O+GEymbC2tobJZAKbzSZd8x8RYuSKghmXXb8i/X6fva1W\nLYDxYOKq1+uhVCrBaDRCr9fD5/NhbW3tla8j0zkSSH6/H6FQCOFwGPv7+9Dr9fzLFqNWlEogcZVK\npWYsFmKxGKcZrVbrlbVVNBpFDF1TiJL8NtLpNHeYrcrCPybEcUUkrihyRbn8+XXtdrvIZrN48eIF\nXrx4gWw2y+LqshSz5GGw2WwIhUJcEymKq6tqHFf5tLtq3OUamUwmaLVaKBQKODo6gqqqePHiBV6+\nfAmHw4HpdMp1XDJy9XiYj1zRhIzrEK/lQqGw1Kah8zyYuKJ22WKxCKvVyqFh8kYht3SKQul0Olit\nVng8nvMXLjg1BwKBmYgS3Wz1ej28Xi8XvobD4ZmZVlS7ZTAY2HSQohaUCmy1WhwdKxQKPBi6Vquh\nWCyymu52u7JW5y0idpC63W4W36lUChsbG/D7/Wz2qtVqMZlMZtz+Dw8PcXx8jNPTU7Zf6Ha7cv0e\nGGrtpwe19SeTSYTDYW7ZpnFUNPaCIsvtdhuHh4czlhoy+rF8UC2tyWSCXq/HdDp9pVv3pukI9PnB\nYMANDPl8HvV6XXqZLQniWBsaeUQfr+r8H41GPLKu2WyiVqux1VGn01kZsf1g4orckyeTCYxGIzKZ\nDIseqrEQu/C0Wi373Oh0Oq6/CgaD2NjYmBnULHbw2e12eDweeDweHo9AU9jpa2iWHX2/ODewXC4j\nk8kgnU4jl8vxIGj6umaziVarxUOb5Sb+djAYDHwDjkQi2NzcxMbGBt+MfT7fTFfgdDpFs9lEsVhE\nsVjk1vxMJoNischT1SUPi1ar5bo5ajhZX1+f8SgjKw26AQ+Hwxn/m93dXWSzWdTrdXS7XRn9WDLI\njJkizVarlTs9b5tmFJuLqMYum80inU5LF/4lQcwi0WGYMlVXddeTRRPVNTcaDRZXdD0vs/2CyINH\nrrrdLjQaDTKZDPx+P1wuF4bDIfR6PWw228wFR2k+mogeDAZnTjuXFbTT/D+qz6CFFWur6NTUbrfZ\nH4duwrlcDkdHRzg8PEQ6nZ6ZW0UPElXSzfvtQeKKWrCfPHmCDz/8EOvr63C5XHC5XNDpdLwu4/EY\nrVaLxyhRM0Imk0GhUJDCeEkgcUX2KBS1isVi8Pl8sNvtnEqgdR0MBiiXyzg6OsLOzg5OTk5mxJWM\nKC8XorhyOBwsrl7XYof2WzF1JEccLReilRJliW4jrsgEeF5cURBjFXhQKwZqx202m8jn8zg6OoJO\np+MZfdVqFU6nE3a7HXa7ncURhRatVis/D7XWj8djFmRiYbter5+5eOmipBZ88tGgmqpyuYxyuYx8\nPo90Os3u8OKJWfJ2IcGs0+ng8XgQj8cRi8Wwvb2Nzc1NJJNJRCIRvpBpjbvdLjqdDtLpNM+nPDw8\nxNnZ2dK7/L5rUGu/1+tFLBZDJBJBIBDgphOaT0eb8GAwQLfb5e5AWtdyuYx2u41+v3+lh57kYRAH\napdKJfT7fZjNZi5yDofD8Pv9bOtwWV2OWBdJB/VKpYJyucyNTZKHhVKBdrudD8Ikpmkk0mXiiq5n\nCnJUq1W0Wq2Vs8l58FktFDUqlUrQ6/VotVpIp9Pw+Xzs5Eo1UzR/kE460+mUo1TApyahtGBiBGue\nyWSCRqPB7fjUCkzF6WJ3IP2/jE49HORTRqefSCQCRVHw/vvvI5VKsau+OBx2NBrNrPHe3h52d3ex\ns7ODbDaLcrksazOWDNqQHQ4H32CdTicsFgvX52g0mhmfvFarxTWQtK6NRgO9Xo8PXPKaXR4mkwnq\n9TrS6TRevHiBer0Oq9WKJ0+ewO/348mTJ9jY2OCZs1e5s9NeTJEO2q9XKXX0mBEPSn6/H+FwmH2t\nropWkk1HoVDA6ekpzwMVI9Crci0/uLgCwDUT1B5PdVEOhwPb29t47733ZhSu6MYsGoWKwkf8+sty\n+VSDQ2k/sR24Vqu9Utze7/dZMa/K4j429Ho9TCYTLBYLwuEwFEXBN3/zNyMej8+IbmI4HKLRaCCX\ny+Hk5AR7e3vY2dnBzs4OCysprpYLEldOp5PFlXjapQMTXZ/dbhetVgvVapXT+HSDJXElD0T3x12s\nGEhcnZ6e4vnz5zCbzdx4FIvFuM4uFApxc9NliOKq2+2i2Wyi2WxKcbUkaDQaWCwWXttQKMQRaBq6\nPm82SzYd1EkqiqtVu5aXQlxRarDZbPKUc6qTGg6H3P1HdVH9fp/bOCmSAeDK1uzLoNA0zSzKZrM4\nPj7G/v4+t+OvyiI+VigSSetPzQ4ulwupVAqbm5vY3t5GMBiccc2n2rt2u418Po/T01Ps7e3h4OCA\nuwObzeYDvzsJQeNNzGYzF7MHAgH4fD643W7Y7XaYzeaZOknqJCoUCshms8hmsygUCjyYmeohVyWF\nsKpQmYRYlnGb3zmVhAwGA7jdbu70jcfj3NntdrtnMhMi80XP9KD0kRRXD8+8ez8NW58/BIvQOCTy\ntiqVSmy/sCq1VsRSiKt56AYJAIVCAbu7u+j1ekin0/D7/ex3RR+9Xu9Mh+BtoXosioTRQ6/X84Yh\nBdbDQMKKvMjsdjvi8Tg/FEVBNBqFyWSa6RwaDAaoVquoVqsolUrY3d3lRy6XQ61Wk55HS4bZbGb/\nubW1NR6gTgXsJpPplRtsv9+f8Skj+wWaU7pK6YNVh4ROu93mCON1Akur1SIQCODJkycYj8dwu90I\nhUIzs+YoSnnVYbnT6aBSqaBSqeDo6IgtGMh6Y9VuxI8RGurt9/uRSCQQDAZht9tvvEfT31On01np\nmsmlE1fUAUQfC4UCer0e8vk8fD4fO61Ho1Fsbm4CABc90innttGr+U4GioIZDIaVy+8+Jmj9aK4Y\nufJvb2/j6dOnePr0KcLhMAKBAM8QoxM0tWWn02mcnp5iZ2eH66wajQba7bY81S4ZZrMZyWQS3/RN\n34Rnz57xBAXyvKNmFPG6JnH1ta99Db/927+Ner2OWq3G3UQy8vx2mO/ucjgcsNls1/7udTod/H4/\nFEWB2+2G1WqFy+WC0+mEzWZjj0OxlnaeTqfDdTnHx8c4OztDrVZDt9tljyTJw0KedX6/H8lkkkfe\n3DTUezwes1gXU/urxtKJKwB8cVC9U7lchkajYfftYDCISqUCg8EAn8+HWCx2Zf5WZL4Oi8amWCyW\nmfmDZO9AFg/0XKu4wKvC/JBtsfYmEAhwV+CzZ8/w0UcfsU8ZRRkpDUQzA09PT7G7u4u9vT0ecSNF\n1fIgdvTabDYkEgl8+OGH+PZv/3ZOEZrN5plrlq7ByWSCdruNbDaL58+f40tf+tIDvhMJeQTW63Xu\n7L4pcuX1emGz2RCPx9lMlIwlb8P/3965Bze+nvX9Y9mWdfFFsi35srZ313t595zkpJBCExKSJtBC\n2mnTgRnKMC0NIR2mk6FtGNo0k2lCgEA7aSmBXiiQkARopwNt0mGamZQCoSWcpmRoSM5J97x71vJV\nti6WLFk3X+X+IT3vvtL6uivbkvf9zGh212tJv58evb/f8z6X7yMd3svLy6ysrJj00XGdv82RMDeJ\n4XywO/WDwaBJC0ok+qSh3nYXsESiO9FGbelcNSMfrD1JXQbrSj2O1ObI79kKv/aF3I5uiQgpPJqs\nfu3aNRKJhJFlyOVyRrLBFT+fDxItlIus1NuFQiGTBpyZmeHmzZtEIhF6e3sbukC3trbIZDJks1kS\niQRzc3PMzc2ZVFGhUOjIxXmV8Xq9BAIBc4MVgVA7UtWMtO8XCgXm5+dJJpOUy+VLOHqHsL+/Tzab\nJRaL0dvbS6lU4uDgwIi9HpVNEIV2wOgenaU4Xl7XFpo+Cbm2+Hw+M7FButAcrcHj8RhHeXBw0Ah3\nS7pYun2fBdreuRLnyC6cFBHPg4MDs0jtxWlHMsQBsx/2jjkSiZjU0+TkJLlcjuXlZXOD7unpIZ/P\nm5STo/X09PTg8/kIBAIMDAyYwvVoNMrNmzeZnZ3l+vXrZsi2OFdi70qlYrpLRPB1YWGBpaUlo7Tv\nnKv2wuv1mnTv1NQUo6OjDAwMmJpHuVnadpMo9urqKrFYjFQq5ZyrS6ZarbKxscH8/LwRhB4cHGRq\naopgMHjozFZxjOxN0pM6V7ZjdtLz5YYfCoXY29tr6Ap3tAZpTunv72d4eJihoSEj/H2YcyV/v4rX\n57Z3rqAxciXOVXPkyl5cdieKOGCygOXCLSHLQCBghOhE5X1+fp5gMGhyv9LB4Dgfenp6jFrzyMiI\nqbmRwnWlFLOzs485yFBbnJVKhWQyyYMHD9Bas7S0xOLiIqurqyZ66brG2gtxriYnJ03kanBwsEFu\noRkZ9r64uGicq1KpdAlH7xCq1SrZbNakaQOBAFNTU5TLZfb29o60pVyTpf7mrNEMe+bsUWrfzfT1\n9TVM9pARbI7WIZGrgYEBhoeHHxMOPSpyJQGUq0TbO1f2TTQQCBCNRrl+/Tq3b99mYmKCgYEBurq6\nTJ3W/v4+mUzGDFre3d01kvuSagqFQkbKQR52cbvkiGXhdXd3Uy6XyWQyl/lRXBlk/IU8IpEI4+Pj\npgVfukDHxsaMeKwUrje/DtRSE7aIoBRCuh1pe2GncaR+8vr169y8eZNoNEowGHzsJtmsxF2pVEzb\nvdMzag/EBnLtXVlZ4eHDh+zt7Zk5sYFA4LHnPU16aGdnx6iyy4Duvb09MzYtGAzi9/sb7h+RSISJ\niQnGx8cpFAomerW5ufnEx+FoRMSeZYKKz+cmhFbBAAAfGElEQVQzjWJHOcESNNnf3zeze0XEW+qu\nOtHxanvnCh4VOff393Pt2jWee+457t27x8zMDIODg8a5krqo5eVlXnnlFV555RXK5bLJAYdCIWZm\nZsysMlmEdm0AQH9/PxMTExwcHNDT02MiI47W0NXVhdfrNZ//1NSUGbo8NjZmLsjyZzAYPPb1RK1b\nxtzYgq+O9kEaSESzbHx8nBs3bhjnKhAINNwMBYk8SleaXIA7ac7YVcW2jaQIl5eXCYfD7O3tMTMz\nYwR+W8nOzg75fN5omxWLRbORHh4eNrIOdq1tNBplfHyciYkJUqmUUYl3tA57kobcd5uHNdtIk4o0\nrxWLRQqFgtlAlUoldnZ2OvJ63vbOlV2ELs7V888/z/PPP28iUPBIG0PG53z961/nxRdfJJ/P4/f7\n8fv9RKNRs0uRdGBvby+BQKAh5STOlQyJTSQSPHjw4DI/hiuHhI5lRuDdu3d5zWtew/j4uOna9Pv9\nJrp1HNVqlZ2dnYYCVXfTbT+kPlIGr4+NjRnnSlr4D5ukIKldW//GnhvouFykeairq4tcLsfKyooR\nifT5fKZpqJWIeKjMgi0Wi+zt7dHb20s4HGZmZobr1683FNSLczU+Pk4wGGR5eflI9XfHk2F34Yuk\nhj2sWX7HRq7fMm1BHCxbt8w5V+eELBApSIxEIoyNjRnjwaPFtrGxQTKZNBPSNzY2TIdIqVQySs8H\nBwdMTEywvb1t8sQy4Nnr9RrHqlQqNRTmSaG8u6ifDts57unpMR2BExMT5nHnzh1mZ2eZnp5mdHTU\nOMPHOVXN45CkfqdUKpkulY2NDdP8IPV029vbDSKDnRhu7lTsgmI7DSwzIW3VZrHL9vY2lUqFSqVC\nIpEw6X47WuG4XOzUbaVSIZvNmoG9IyMjRKNRfD6fSQt7PJ6GMg5Rdd/f3zfNLfJ9sJ0j+Z1qtUq5\nXKZQKLCxsWFSxPv7+0blf3x8nNnZ2Ya6LImEDw8Pk8vljJyLo7XY4tx2xOqoNLCd8i8Wi5RKJUql\nEuVy2elcnSd2obrsfKVVX/K4tmT+2tqaKbCUhSgX4Hw+z9LSEru7u2SzWe7cucPW1hY9PT1m5yyp\nCXHAfD6fibCMjIxQLpcpl8tOvf0U2BdGcViDwSBDQ0PcunXLPKQOIhwOG7vK8076jCVdPDMzA0A0\nGjUT1WXgdqFQMMN95efb29tO5+aC8fv9jI6OPlbE7vP5jM3hUapAhrjK4G2R11heXiaZTLK5uek6\neNsMuxYqmUwSj8cJhUJUq1UjhdDb22uizFLKIQ8RnZTvhmx4ZZ6kjLayIxx2iri7u9tI7ExPTz8m\n8yKRlGdFDuCiad5IHyWrYmOn/MWxku+FZCE68Rrd9s6V0BxulJ2Q7IIqlQobGxskEgkzBNp2rmxh\nUhGZ3NraMsW11WoVj8djIluyo5G20lAoxMjICN3d3eb9OtHgF4ktJuf1ek03YDQa5e7du7zwwgu8\n8MILDA4O4vf7G26yx6kz268PGOdqeHiY2dlZcrmccbAymQzr6+um0FYGgzoF/otH5ozJqBu5gUrh\nse1ciW2KxSLJZJLFxUUePnzIwsICy8vLJBIJ0+HraB/E8YHa5AyZDbm/v28ERv1+v5FIkboaiViE\nw2FmZ2eNMyRSPOJciVNm1+ZIXY44VwMDA0QiEaanp41DJyN5JOtwGukGx9lpdq5O08nZHLkql8vG\n8e7UYnboAOequ7vb7DikA0Q6EASpxZACx1wuR7lcNhdocaxkcWazWdbX1xkeHmZiYoJcLkcgECAQ\nCJjaAdFOEQX3/v5+BgcHzUBgx9HYkUa5sEmofmJigqmpKW7fvs2dO3e4e/cuvb29T7yARMm9r6+P\n4eFhdnZ22NzcJJ/Pk8/nSafTJpUk77O9vU13dzfb29tuyOs5Yxeo+/1+wuGwGcwrXWSS/rUV2OUm\nmMvlWF1dZW5ujlgsxsrKCul0mnw+f5mn5TgCmZJQrVZJp9OmvKJSqTAwMGDa8mV95vN5E1kuFotE\no1GTPhaRWUkz2crdkkGwU0eyQbalAOR+4ff7qVQqJt3kJm60luZr/sDAAKFQiGAweOiQZnutb29v\nUygUyGQyJJNJk3Ho9NrZtneu5IIsF+VQKHSoscTp2djYoFAoHNoxZi8mKcKUepzmYa/igdv6WKf1\nxJ9l7O4cv9/P8PAw4XCYaDTKzMwM09PTpmMzHA4/tb5Jc2pPavP6+/uN7QKBgEk5SufS2toaqVSK\ndDpNoVBoybk7HsdeR1IPEw6HGRoaIhAIHDpnzG5OSKfTxONxYrEYy8vLZLNZlwpsYyQ7ALUyjHg8\nzs7ODqlUyqw/r9drHCOpp5MpGDs7OwwNDREOh/H5fKYOSyJP0lUm6UG5dh91E7bFp+1NtmQ1nIP1\n9NjX/L6+PsLhMNeuXWN2dpaxsTH6+/sPLWKXOthcLkc8HjczYBcXF8nlch1ZxG7TEc7VyMgIk5OT\nRzpXBwcHJhwtXu9x7fjiNdupQnGu4JGgmT1iQXL/Z1USftawC9jFdlNTU0xPT3Pr1i1mZ2e5ceMG\ng4ODDA4ONuTjz3KhO8opk52rRDwDgQDDw8Nsb2/T399vVOBlwUt6wdF6mlW0RShWxAUDgcCh80Bl\nVp10g8nEhNXVVVNf42hP5KZZrVbJ5XLs7OywsbHxWNeYpHTtBiFxeqS+VaJe/f39AMYxsue+2tM6\nDrseNDtX9ns556p1yAbK6/Ua5+rWrVuMjo6aja6NCHRLOU88HufBgwe89NJLrK+vO+fqIvD5fCZq\nNTY2ZsQ/odFJEhFJiVxtbW0daZxmNXdZZPZCk/9vjl7Z9UCOx5FmgJ6eHvr7+4lEIszMzHDnzh3z\nuHHjhvldofkiZ0ekTio8t1NPIlB6WHQzEAiYG7zH46FQKLC2tobH43HF7eeE1NtJqmZoaMh03/r9\n/sciV7JRKhQKDUXRi4uLpFKpSzoLx2mxMwLSwX0Wuru7TTf48PCwqdO008USsToqatU8oUOcK5Hw\nsEWGO/0G3g7Y90fZzE5OTnLjxg1TbnOc/EI+n2dtbY25uTnu379vyjU6/Vrc9s6V0Dx8WXK1ciHO\nZDKmeDmfzx/qXEk0Q3LCo6OjjI6OmkUsRfLQ6LjZrfzHhaAdNQdGolLT09OmrsoWimzG7g5r1jWy\nu4nks7drpMSZkiYHe4fcLOUgjnq1WmVzc5NEIkE8HjdpZEk1OFqDx+MhHA4TiURME8P09DQjIyNm\nvUkk2J4hKuKOCwsLLC4uGkkNx9XnaW+oOzs7rK+vE4vF6O/vb9g423Vai4uLLCwsuPE3LaC3t9fU\n001OThKJREza3+v1Hip3IfdWKQGwr/NXxentCOfKdqoEca6k7Vccq/X19QbdExuPx2Nu/iMjI0Qi\nEUZGRoxz1dfXZ6IY9o5HdkFyg3fh5KORdnvRmZHC9enpaVOk2oz9edshfNn5ykNs0JwWksHbMoFd\najua51iJc9XX10ehUCAejxOJRMhmsxSLRRM1cbQGj8dDKBQy46ru3LnD1NSUSfmIDg48SvNWq1VT\nq3P//n0WFxfJZrPOuXKcit3dXTKZDLFYjIODA3Pjlho+eYgeomtOenqkASEajTI5Ocno6KhxriSi\ndVjkyk7x2naSe0Cn32Pb3rlqjlg1z5OT9IHtYIljdVjkSuYLRqNRRkdHG5yrwyJXdtG7RK6ugld9\nXkid1czMDLdu3eL27dvcvXuXiYmJY1Oqzc6stObmcjnS6bSR15CHvfBE7VsiWhLNkteV74xEtkKh\nEKVSiaWlJSKRCKlUynQROlqHRK6uX7/O6173Oqanp7l27RojIyNGjV0edlp2c3OTlZUV7t+/TyKR\ncM7VM8TT1rOK1E5vby/5fN5szPL5PJVKxdzIpRPNXcufHhlnNTY2xrVr14hEIqam8igkMyGRK7GL\nXIM73bGCDnCujsJOG0k7ru38yI1cOk1EDmBqaopr166ZAuuxsTGCwWDDxG7boxbRyY2NDXK5nNFU\ncRyOPQBbVJabR9iI7eQhA5cLhYKxpdhVPvd8Pt+ww7EJBoOsra0xPDxsBj6Pj48TiUSMQ+Xz+R4b\npTQ2NsatW7fY3d1lYWGB7e1tcrncRX9kVwr7M5Z0bTAYNC340mzQvFGS9SabpXw+T7FYNDfCq3Cx\ndZzMcXa2o9vyaEauJ+vr66bJSeqsJOXUqeNU2hWRwZmZmeHGjRuPzQk9jN3dXdPdn8lkKBQKHa1p\ndRgd71zZnq/sRkSnStrwh4aGTNhydnbWdKxFo1HzRZDcsDhX0q0ktVyZTMa0gV+1L0ErsTssRbLi\nsEUmHWEy1iQej7O6umq6Pe0RCNKqbY+ysZGuQBGpFOX33d1dQqEQoVCIvr6+huPw+/2MjY1x584d\nczyZTOZ8P5xnBFl7MrRVNjf2GoNHUUUpNpb1Znf8OrHXZ4uTxCbtETiHdQjKtA6ASqXSUEogUXH3\nXWotPp/PZCtu3rxJJBI5cVD33t4epVLJaE6Kc3WV6Gjnyi6Ia07ZycXdnm81PT3NvXv3uHfvHrdv\n324QmLMdAbnY5/N5o+4tEayrkg8+T2xto8PSgFLbJJ/xysoKWmu01iQSCROpskcYyWcuF1gbcea6\nu7sZGRmhUChQrVbp7e2lWq3i9XoZGhpqeI7P52NsbMxol0mdhuPpsOUXbMdK1PeluNUuYLcvtMlk\n0tTA2Q0kbr05mmUVDvtOyLVbZsbaUS67acbROiRyNT09bWR2TuNcFYtFU8rjnKs2QtIOols0PDxs\nCuokYiUiltFo1OSDb968ydTUFNFo1ERXZKSNREYymQzxeJyVlRVisRirq6vkcjlXk3MK7HBvOp0m\nFAoxODjIwcGBcbaq1Srr6+uk02nS6TRzc3O8+uqrxGIxUqmUqZOQHehZ2NnZMbV0oVCI3t5egsEg\nw8PDDaN1xDl3tXStRXTG/H6/iRjLQyLEMrJK2umluWBlZYWlpSWWlpZYX183qRwXbXh2OMrOtpZh\nNps9Um7HLjlwXAzShd/f329qlw8TB7ajjjLrVaZnXMU5oR3rXHV3dxMMBs24GrkZy4BQEYoUQbqR\nkRFGR0eJRqMMDg4+prQuCu/lctmoxWqtjTK0G7dxOiqVCplMxtSvycUuk8mY2quuri5WVlbMY21t\nzSimix2f9OK4v79vai7i8Th+v5/BwUFGR0fN2CQZHJtOp5mfn+fhw4ckk0nK5XKLP41nDxGPbW4a\nCYfDDR254lSJUOirr77Kw4cPicViJJNJksmkqblyztWzw1FpQZFSyGazxONx43w7WZzOwe66l0al\nRCJhshXOuWoTZPq5zP6TXUxPTw/BYJBwOGzqbYaGhswAUUkDNiuty65IpPgfPHjA1772Nebm5pyK\n9xkQ58oW+tve3mZ9fd2kYbu7u5mbm2Nubo6HDx+a+WKiN/U0WmK2cyX1dqOjoxSLRZP27enpYWtr\ni/X1debn55mbmyORSLi27BZgd+RGIpGGjlxZdx6Px8yATKVSLC0t8eDBA15++WW01g1doW5MybPF\ncZGrSqVCNptldXWV9fV1isWic646COnwL5VK5HI51tfXWVtbI5FIuMjVZSDpA1tI0h7Q6fV68fl8\n5kIsyuAyj1AiWNIR2PzaEqqUoc+JRIL5+XlisRhzc3MsLi4eWufjOBwRdZXxQxLOz2azRn+qu7ub\nWCzGw4cPmZubM8XqrRCPk5qLbDZLT0+Psb+kj2W24OrqKgsLC8zPz7O4uGgkPBxPh0SUR0ZGmJiY\nMG3ZMspEkDor0RuKx+MsLS0xPz9vvjduzT17dHd3my5TmUPY3d1tpFLsKRzHjThztB9bW1vkcjmy\n2Sxra2skk0nS6XRDo9hVou2dK9nhptNpIpEIxWLxMYVuaa2PRCIm/xsMBgkGg2aBNhdWy2KVbrSl\npSVisZhxrGSOma0Y7jgZ0QUDKBaLpNNp9vb22NjYMN1jHo+HZDJJJpNpiFS14jMW50qaDzweD8Vi\nkdXVVfNd8Hq9bGxssLi4yOLiIul0+krunC6Dnp4eBgcHGR8fNx25omllI+MvJELV3Bno1tuzSW9v\nL4ODg4yNjTExMUEoFMLn8132YTlaQKFQYGVlhfn5eR48eMDKyopJB14VVXabjnGuvF4vmUzmMecK\nanUewWAQj8fDwMCA2f2IArR0ktmIeu/m5ia5XI6lpSW01nzjG98gHo+b93KO1dmQGispWpTaGtmB\nSjrW1p45SrPmSdjf3zcispVKxThWWuuG78LW1hb5fN50JV7FndNlIM7VxMSEca5kSLaNdPrKvDe7\ntsqtt2cX6ewV56q/v/+xjIOjMxHn6uWXX2Zubo54PG6cq6so6Nr2zpUICwLG4RFj2ArPonNk0zz8\n1y6M3dvbMzMJU6kUCwsLpu4jnU6bzsGrZvDzRj4vSededB2T6NxIis8N+71YpBZydHSUyclJwuEw\nfr/fNDfI+hMFfhGQFU0it96ebWROnQxvlvEpsqG2MwnOCW8P7EHZW1tbj01dEDKZDEtLS9y/f5+F\nhQWzub2qGYO2d67sHa6IDCYSCUKhkKnhaQ4b2y2f29vb5mZrD+etVCqkUimSySSpVIpYLMba2hrl\nctnND3Q4npD9/f0GzSqZ53lwcGAcqq2tLeLxOAsLC0aCw3VrOoTDdPJkcyylHBLpdM745VMoFIjF\nYgSDQVZXV03phdfrbfi9V199lVdeeYVkMmmkNK5yQ0JHOFfb29tm5pjtXA0PD+PxeA51ruzRKjK+\nZnNzk1KpZLr/xLmSwrp0Om2cK7czcjjOjl3zlkwm8fv9hMNhU+Moc97i8TiLi4vMzc0Ri8XY3Nx0\nzpUDaHSu7AkPtnMldTruGn35bG5uEovFKJfLaK1N6UVzKY5kiVKplBkj55yrS0QiV/v7+8a5SiaT\nhMNhsytuxp64LW35oqOUy+WMs5VMJkkkEiSTSaPyLqkJt2gdjrNjd2smk0lCoRCVSqXBuUqlUg2R\nq4WFhZbW3Tk6F3s2pa1DaEeummv0HJeLzIRdWFgwkcbD9Mqa1fWvegCj7Z0ruyVbipMDgQClUonR\n0VFGR0cJh8MNz5G2/t3dXTY3N80Im1wuZ/SUCoWCcbJKpVLDlPSrbHCH4zzZ29sjn8+zurqKx+Mx\ngoFra2tmKPPGxgYLCwvE43EKhcJjsyIdzy6SqZDsgggPS4mHLcVwmEK74+KRjZFbx420vXMFjxys\nYrFIPB5nZ2eHtbU1gsGg0TCyEe/YFi0T9fXt7W0z6FnawG3HyuFwPDniXAGUSiVSqRTz8/OEw2Gz\n5qQmK5VKuVSgowHp8s3n8+RyOYLBoKnZk+YmGX/jdK4c7UzbO1cSOpT2/d3dXdLpNL29vcfKLNhD\nfmUauj3E0xYQtTWWXNTK4Xhy9vb2yOVyxrGSyINEH2S9iTCwk79w2Ozt7VGpVExtHmCu83bkqlQq\nuVSyo61pe+dKkG4jF3p0ONoXEQd1TpPjSbDTgvY81+7ublPbIxMdHI52pmOcK4fD4XBcbaS2qlQq\nkc/nTUNTV1cX+XzeNEc4HO2Oc64cDofD0RZI5Ep0DUXj8ODggFwux9bW1mUfosNxKpxz5XA4HI62\nQMZlpdNpvF6vGWNWrVZJJpNmJJnD0e4458rhcDgcbUGlUiGZTNLT08P6+ropZj84OGBpaYlsNuuc\nK0dH4Jwrh8PhcLQF4lyVy2V8Pl+DkKh0ELqaK0cn0HXWL2pXV5f7Zl8QBwcHj8vcXgDOxhfHZdkY\nnJ0vEreWrz5uLT8bnNbOnvM+EIfD4XA4HI5niTNHrhwOh8PhcDgcR+MiVw6Hw+FwOBwtxDlXDofD\n4XA4HC3EOVcOh8PhcDgcLcQ5Vw6Hw+FwOBwtpKU6V0qpCeCe1vqLT/DctwE/rbV+S9PPvxn4ufo/\n+4Cf0Fr/3tMe6ymPqQfY0Vp7lFLvArq11r92xO/6gXdorT93htf/TeB/aK0/0/TzHwO+D9gBcsAP\naa1zT3oereac7PwC8K/r/+wD3qu1/urTHuspj+my7PyjwN8B9oE54N1a67aYSHseNq7/3w8Dvwi8\nU2v9B099oKc/psuy8SDwq8CbtNbTT34G58M5reVvoraWq8AW8MNa63gLDvc0x3RZdn4f8LeAbeBL\nWusPPPFJtBi3li9nLbc6cvUd9Ucr+RfAR7XW3wH8CPDvW/z6p0Jr/ZmjDFjn9cD3nvFlD+oPg1Jq\nGvhR4Nu11m8DXq3/u504Dzt/EvjJ+jn/LI8c6gvlAu38WuDvA2/WWn8b4AN+4Iyve5603MZKqR8E\nXgv8WStf96xclI3rfAL4/TO+1kVyXmv5o1rrvwh8nEebpgvlAtfyC9TW8lu01t8O3FBKvfOMr3ue\nuLV8Nlqylo+NXCmluoBfBp6r/+6faK3/Yf3/3gP8PWAX+CI1j+5n6v+XBQaBHq31h+o/W6Bm4CTw\n68AwEAT+s9b6Y8ccRgKI1v8eBlInHPOngRJwC5gAPq21/nml1EeAm8B14MeBNPBvgQDQD3xQa/37\nSikF/Gb9Nf7Qet2PUPOQP6SU+mvAh6ntyh4A76N2QQkppf651voDSqmfBd4E+IH/qbV+v1LKU/+9\n1wKL9fNvFiQrUtvxDVKLWoWoOVjnRpvY+S9rrfP1v6eB0ROO+dN0tp2/AXyLFalaB0aOO+enoU1s\n/Dmt9W8opU61g74CNgZ4NxABPnSac35a2sTOCvhS/e9fAH77hGP+NJ1t53vAV7XWMlX6d4C/Xv+z\n5bSJjd1aPoGTIlch4CWt9Vvqu+vvUko9r5S6DnyQWnTlTcAk4AU+Bfy61vrnD3kt8QQjwO9ord8O\nvAX4oFKq/5hjeD/wM0qpbwCfpbZDOI4D4JrW+h3AW4F/qpQarv/fDa3127TWfwr8EvBzWuvvBP4G\n8AmlVDfwE8An6hGUrze97oFSKkDtC/tXtNZvpXZTfD3wz4DfrRvw+4DJ+nu9AbhdN/xfApTW+luB\nHwT+HE0estZ6A/gpIKaUmqP2ZfzkCef8tFy6ncWxql84/gknn3On2/lAa12on/NN4K8Cv3XCOT8N\n7WDj4hmPuaNtXD/n0hnP+Wm5dDsDX+VRtOC7AJ9S6rjNUqfb+WvAG5RS0frxfDe1z/e8uHQbu7V8\nMifVXOWBKaXUi9RyyRPUjPA88Kda6+36m74boOZcHurx2aSBNyulfoRaTVEfNW/5KH4F+JDW+j8q\npb6Vmvf63Anv8bv148orpR4Ad6h9WF+2fuftQL9SSqaA7lCLkL2WuqcP2HnkrvrjOWBZa52pv8cH\nAJRSszw697cD32Z59YPADWpf9Bfrz6sopf5P84ErpWaoecZKa51WSv0i8AHrmM6DdrAzSqle4DNA\nVmv9C6c47o61s3XOzwH/Ffi7+nzrUtrCxk9Ax9v4gmkHO78H+Liq1eR8nlq0oXLCe3SsnbXWD5RS\nH6a2jtepRaWDJ5zv09AONn4SOtbGT8JJztUPAN9CzROuKqW+Qu3DqHJ01Oug6U/BS+0k3wf0aq3f\nDKCUSp9wDG+nVtyN1vorSqkhpdSY1jp5zHO6rb93WceyY/18C/gerXXWfmI9ciKGtV/HPq+TIn5b\nwK9orRvqhpRSP269dvPrC28E/kxrLZ/L54EfO+H9npZLt3N9d/JZajuyD57yuDvZziilnqd2QX6X\n1vp/n/BeT8ul2/gJ6WgbXwKXbmet9QNqkViUUhHgA6fY9Xe0nbXWn6IWIUIp9Y+B+RPe72m4dBs/\nIR1t47Ny0sFEAV034J+n5mn6gK8Af0EpNVA/uN9SSr2+foDe+nM3gen6/7+GR3VTUeB+/efvpJZb\n9R1zDK8AYvDZ+jEfV3fVRc0hox52vF1/jWbP/UvA99d/b1QpJSHT/0ctJwu1cKH9unI815RS1+rP\n/Xj9PPaBXuu1v7fuMKCU+rBS6nb9td9Y/9kA8IZDjv8+8E1KKflM3lh/3nnSDnb+EPDKGRyrjraz\nUsoL/Cfg+y/AsYL2sLHNaYafdrSNL4lLt7NS6t8opd5R/+d7qW2ajqOj7ayUCiml/lgp1adq3Wnv\nAk7dnfYEXLqNm3Br+RBOcq5+m1oY7X8BfxP4l8AvAAXgI8Dv1UOTMa31/wX+CHi3Uuon68/95vpz\n3wO8TM27/DXgh+qhudvAf6g/jqrQfw+1/OwXgd8A/rbW+kAp9d1KqcNuxAdAVin1WWoFfR/WWm8e\n8vr/APie+vF9nkddAD8FvFcp9QXgLrXCQHndA611uX5M/6X+3CHgvwF/ArxVKfUJrfVngT8GXqx/\nPhFqrfb/HVhStbDjJ6mHIm201i8B/w74w/o5vw746CHn2Urawc7/iFpY+ov1xx8opTxX1c7U6gmm\ngX9lnfNpHcsn4dJtrJT6mFLqJWq77l9VSn1d1epUrqSNlVLe+vl+AYgqpV5SSv3yIefZSi7dztRq\nX35aKfVlarZ+P8BVtbOuyeR8jlp668vUirUPW/Ot4tJt7NbyyWu5Ywc3K6X6gI/pepeE9fNPAX+k\nj2/PdHQIzs5XH2fjZwNn56uPs/EjOlmhfYrz76JzXD7OzlcfZ+NnA2fnq4+zcZ2OjVw5HA6Hw+Fw\ntCOdHLlyOBwOh8PhaDucc+VwOBwOh8PRQpxz5XA4HA6Hw9FCnHPlcDgcDofD0UKcc+VwOBwOh8PR\nQpxz5XA4HA6Hw9FC/j/MT/UXW3QfQgAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c3ff0df10>"
       ]
      }
     ],
     "prompt_number": 332
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cm = confusion_matrix(y, y_pred)\n",
      "plt.figure(figsize=(16, 16))\n",
      "sns.heatmap(cm, annot=True,  fmt='', cmap='RdBu_r', xticklabels=range(10), yticklabels=range(10))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 333,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7f7c36722350>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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qGXbYf7uJVexmpbPgrkuSyM/yyE1jz+fm4hFbtDmSzvT+6Q8kcewsj/OqOflp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\nfAEAANTg/wFPe8k7cHoxiAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c457fc250>"
       ]
      }
     ],
     "prompt_number": 333
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "net1.score(X, y)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 336,
       "text": [
        "0.9948809523809524"
       ]
      }
     ],
     "prompt_number": 336
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot_loss(net1)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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6HBERkazybQAA2NBYSTIJ9kSP16WIiIhkla8DwKUrKwHYf6zb40pERESyy9cB\nYPXScsKhAAcUAERExGd8HQDCoQBrl5Vzsn2QvsExr8sRERHJGl8HAIANK9zdAAeOaxZARET8QwFg\nRRWgdQAiIuIvvg8AK+pLKYoE2X9UAUBERPzD9wEgGAhgllfS1jNMR++w1+WIiIhkhe8DAKStAzim\n8wGIiIg/KABwOgBoHYCIiPiFAgDQECshWhxm/7Euksmk1+WIiIhknAIA4DgOG1ZU0jMwRkvXkNfl\niIiIZJwCQMr6qXUA2g0gIiL5TwEg5dJUAHhKAUBERHxAASAlVlFEdVmEA8e6SWgdgIiI5DkFgBTH\ncVi/opLBkQlOtg14XY6IiEhGKQCkmTwc8CmdFVBERPJcyOsCZjLGXAu8Abe2z1hrd2frtSevC3Dg\neDe3XNOYrZcVERHJukUXAIAB4C3ABuAGIGsBoDIaob6qGHuih4l4glBQEyQiIpKfFt0IZ619EijE\nDQH/me3X37CiktGxOEdb+rP90iIiIlmT8RkAY8wVwA+AT1lr70i1fRq4BkgC77TW7jTGvBG4Evhr\n4J+A91trs35y/g0rKrlvTxP7j3axpqE82y8vIiKSFRmdATDGFAOfBO5Oa7seWGOt3Y67r/8zANba\nL1tr3w78JRAFPmSMuTWT9c1mva4LICIiPpDpGYBR4CXA+9LabsadEcBae8AYU2mMKbXWDqTaPni+\nLxKLRReiVndbwOql5Rw+1UdZRTGRcHDBtp3rFrKfZXbq48xTH2ee+jg3ZDQAWGvjQNwYk95cB+xM\n+7kdWAIcvNDXaW9f2P31a5eV8cypXh5+/CSXrqxa0G3nqlgsuuD9LNOpjzNPfZx56uPsWIiQtRgW\nATq4awEWDZ0PQERE8l02A8DkIH8KqE9rXwo0Z7GOczLLKwmHAjxxqMPrUkRERDIiWwHASX0B3AO8\nAsAYswVostYOZqmOeYkUBNm4soqmjkFau3V5YBERyT8ZXQNgjNkGfAmoBSaMMW/GPbnPLmPMDiAO\nvDWTNVyoTWtrePxQB3ue7tBZAUVEJO9kehHgw8Dls9z1/ky+7kK4ck0NDvD4wXYFABERyTuLYRHg\nolReUsAlDeUcbOqlf2jM63JEREQWlALAWWxeV0MyCU8c6vS6FBERkQWlAHAWm9fGANhzsN3jSkRE\nRBaWAsBZ1FcVs6S6mH1Huhgdj3tdjoiIyIJRADiHTWtrGJtI8NTRLq9LERERWTAKAOdwejeATgok\nIiL5QwE461UpAAAgAElEQVTgHFYvLaOspIAnDnWQSCyqMxaLiIhcMAWAcwg4DpvW1NA/NM7hU71e\nlyMiIrIgFADmYfPaGgB2HtDRACIikh8UAObh0pVVlBWHeXBvM+MTCa/LERERuWgKAPMQDgW49rJ6\nBkcm2HtEJwUSEZHcpwAwT1dvqAPgsf1tHlciIiJy8RQA5mllfZRYRSF7DnXopEAiIpLzFADmyXEc\nrt5Qx+hYnCcPazeAiIjkNgWA83DV+loAHtnf6nElIiIiF0cB4Dwsry2lIVbC4wc76BkY9bocERGR\nC6YAcB4cx+GGTQ3EE0ke1WJAERHJYQoA5+lZ62txHNh5QAFARERylwLAeSovKcAsr+BQUy8dvcNe\nlyMiInJBFAAuwLWX1QNw/+OnPK5ERETkwigAXIBrNtRRUhji10+c0qmBRUQkJykAXICCcJDnXLGE\n/qFxdlmtBRARkdyjAHCBrt/UAMDDT+mcACIiknsUAC5QfVUxK+ujPPlMJ23dQ16XIyIicl4UAC7C\n869aTjIJv9qjxYAiIpJbFAAuwlZTS2lRmAf3NjMR12JAERHJHQoAFyEcCnDtxnr6hsbZZdu9LkdE\nRGTeFAAu0k1bG3CAnz16nGQy6XU5IiIi86IAcJHqKovZYmIca+nnwPEer8sRERGZFwWABXDLNY0A\n3P3ocY8rERERmZ95BQBjjJP6XmiMWZ7ZknLPJUvLWbusnN8e7qSpfcDrckRERM7pnAHAGPMB4F3G\nmGJgN3CnMeYjGa8sx0zOAvxMswAiIpID5jMD8FLg/wK3AT+21l4NPCejVeWgK9fUsKS6mIf3tdLd\nP+p1OSIiImc1nwAwbq1NAi8C/ifVFsxcSbkp4Di84OpG4okkP991wutyREREzmo+AaDHGHMXsAF4\nyBjzUiCe2bJy07Ub6ygrKeBXe04xPDrhdTkiIiJzmk8A+CPgi8DNqZmAEeC1Ga0qR4VDQW7euozh\n0Ql+/YRODywiIovXfAJADOi01rYbY/4UeCVQktmycteNmxuIhIPc/ehxxic0USIiIovTfALAV4Ex\nY8xm4I3A94DPZrSqHFZaFOamLQ30DIzxwG+bvS5HRERkVvMJAElr7SPArcC/WWvvynBNOe8FVzdS\nEA7wvw8d0yyAiIgsSvMJACXGmKuA3wd+aoyJAJWZLSu3lZUUcPOWZXT3j3L3ozoiQEREFp/5BIBP\nAl8CvmitbQc+DHwro1XlgRdfu5JocZj/feiYzgsgIiKLzjkDgLX2O9baTcDXjTGVwAestZ/MfGm5\nrbgwxK3XrWZ0PM737z/sdTkiIiLTzOdUwM82xhwGDgAHgadSuwTkHJ57xVKW15ayY28LR5r7vC5H\nRERkynx2Afwj8LvW2pi1tgb3MMBPZbas/BAIOPzR89YC8N8/P0gymfS4IhEREdd8AsCEtXbv5A/W\n2j3AeOZKyi+msZKtJsahpl4e2d/qdTkiIiIAhObxmKQx5veBewEHeAE6FfB5ue3GNTxxqIP/d99h\nNq+NEQnrUgoiIuKt+cwAvBl4E3AMeAb3NMB/lsmi8k1tRRHPv6qR7v5RfvaILhcsIiLem3MGwBjz\nwIymfanvZbhnB7wuU0Xloxdfu4IdTzZz18PH2LaxjrrKYq9LEhERHzvbLoAPpd1OX73mzPhZ5qEo\nEuKVz1vL5/9nH1+96wB/+UebCTiO12WJiIhPzRkArLW/ymIdvnDV+loeeaqVPQc7+PnOkzz/quVe\nlyQiIj41nzUAskAcx+G1t6yntCjMnfcfprlz0OuSRETEpxQAsqyspIDX3mIYn0jw5Z/sJ55IeF2S\niIj4kAKAB7aaWrZtrONIcx93PayjAkREJPsUADzyx7+zjspohB/95gjHW/u9LkdERHxGAcAjJYVh\nXvfC9cQTSb70k6cYn9CuABERyR4FAA9dtrqaGzYtpal9kG/cY3WtABERyRoFAI/9wc1rWVEX5YHf\nNvObJ5u9LkdERHxCAcBjkXCQt/7eZRRFgnzr5wd1aKCIiGSFAsAiUFNRxGtesJ7RsTh3/GAvI2MT\nXpckIiJ5TgFgkbjm0jqet3UZpzoG+dpPD2g9gIiIZJQCwCJy+01rWLOsnEf3t3HvYye8LkdERPKY\nAsAiEgoGeMvLL6O8pIDv3neYA8e6vS5JRETylALAIlNRGuHPX34ZjgOf/f5vaWof8LokERHJQwoA\ni9C65RW8/sUbGB6N89nvP8ngyLjXJYmISJ5RAFikrt1Yz4u2raCte5jP3vkkY+Nxr0sSEZE8ogCw\niN163WqeZWI8faKHL/xon64cKCIiC0YBYBELBBze9NKNbFhRyZ6DHfznz3S6YBERWRgKAItcOBTg\nbbdezor6KL/5bTN33v+M1yWJiEgeUADIAUWREO++7UrqKou46+Fj3PPoca9LEhGRHKcAkCPKSgp4\nzx9sory0gG//8hAP7W3xuiQREclhCgA5pKaiiPfcvoniSIiv3LWfPQfbvS5JRERylAJAjllWW8o7\nXnEFgYDDv33/SXbZNq9LEhGRHKQAkIPWLa/gva/cTEEoyOf/Zx87nmz2uiQREckxCgA5ak1DOe+6\n7QoKC4J85a79PPJUq9cliYhIDlEAyGGmsZL3/OEmCguCfPFH+7h3p64gKCIi86MAkONW1pfxl6/c\nQllJAf/984N8+xcHSehkQSIicg4KAHlgRX2UD75mK0uqi7nnsRN8/od7GZ/QtQNERGRuiy4AGGOe\nbYz5L2PMt40xW72uJ1fUlBfxgVdvxSyvYKdt5xPffpyBYV1FUEREZrfoAgDQC7wJ+CRwg7el5JaS\nwjB/8QebuHpDLYdO9vLRr++irWfY67JERGQRWnQBwFq7F7gJ+EfgBx6Xk3PCoQB/+rKNvHBbI61d\nQ3zsv3ZypLnP67JERGSRyXgAMMZcYYw5bIx5a1rbp40xDxpjdhhjnpVqe6Mx5rPGmKuttT8Fbgfe\nnen68lHAcbjthjW8+vnr6B8e55++tVtnDRQRkWkyGgCMMcW4U/l3p7VdD6yx1m4H3gB8BsBa+2Vr\n7duBSmPMF4B/BX6Syfry3Y1blvH2W68A4LN3Psmd9x8mkdARAiIiAk4mry9vjAkCIeB9QIe19g5j\nzN8DR621X0k9Zj9wlbV24AJfRiPaORw+2cM//tdjtHQOsWltjP/zqq2Ul0a8LktERC6cc7EbCC1E\nFXOx1saBuDEmvbkO2Jn2czuwBDh4oa/T3t5/oU/1hbJIkL9+9Va+/JP9PH6wnXd88j7+/Hcv45KG\n8nlvIxaLqp8zTH2ceerjzFMfZ0csFr3obSyGRYAO+hSfccWFYd72+5fze9etprtvlI9/Yzc/efCo\ndgmIiPhUNgPA5EhzCqhPa18K6Go2WRBwHF66fSXvfeVmyksL+P6vn+Ffvr2H7v5Rr0sTEZEsy1YA\ncDi9v+Ie4BUAxpgtQJO1djBLdQiwfkUlH3791WxeW8OB4z387Vce5fGDHV6XJSIiWZTpRYDbgC8B\ntcAE0Il7cp/3AtcBceCt1tonL+JlktrfdGGSySS/2tPEt395iPGJBDdsWsrtN62hsODMpSHar5d5\n6uPMUx9nnvo4O2Kx6EUvAsxoAMgSBYCLdLJ9gC/+aB8n2weJVRTyhhdfyrrlFdMeozd15qmPM099\nnHnq4+xYiACwGBYBiseWxUr50Guv4oXbGunoHeGfvrmb//75QUbHdEEhEZF8pQAggHsK4dtuWMP7\n/ngLtVXF3LvzBH/zlUfYf6zb69JERCQDFABkmrXLKvjw667ihde4swGf+O89fO2nB+gfGvO6NBER\nWUAZPRGQ5KaCcJDbblzDs9bX8tW79vPrJ06x52AHv3/9ap5zxRICzkXvehIREY9pBkDmtGpJGX/z\nJ1dx+41rmIjH+dpPD/Dxr+/iWIsW+IiI5DoFADmrUDDALdc08rm/upmrN9Ry+FQff/+fj/GNeyyD\nI+NelyciIhdIAUDmpbq8iD/73cv4P3+4ifqqYn65u4kPfPFhfvPbZhK5fyipiIjvKADIebl0ZRUf\nfv3VvOKGSxgdj/OVu/bzj9/czfFW7RYQEcklCgBy3kLBAC/atoKPvWkbzzIxDp3s5cNfc3cL9A3q\naAERkVygowDkglWVFfKW37ucvUc6+ea9B/nl7iZ27G3hhdc08vyrls96SmEREVkcNAMgF+2yVdV8\n5A1X88e/s46CUIAfPnCE933hYe7bfZKJeMLr8kREZBYKALIgQsEAN29dxj+++Vpe9uyVjI7F+fo9\nT/PBLz3MQ3tbSCS0UFBEZDHRxYBkXs73Ah+9g2P8ZMdRfvV4E/FEkoaaEl7+3FVsXhfTiYTmoIuo\nZJ76OPPUx9mhqwG6FACy4ELf1B09w/xox1F27G0mmYTltaW87Nmr2LyuRkFgBv3hzDz1ceapj7ND\nAcClAJAFF/umbu4c5CcPHuXhp1pJJmFZrIQXbVvBVRtqCQa0Jwr0hzMb1MeZpz7ODgUAlwJAFizU\nm3oyCDzyVBuJZJKa8kJecHUjz7liCZFwcAEqzV36w5l56uPMUx9nhwKASwEgCxb6Td3eM8zdjx7n\ngd82Mz6RIFoc5nlbl3HT1mWUFIYX7HVyif5wZp76OPPUx9mhAOBSAMiCTL2p+wbH+Pmuk/xy10mG\nRieIFAS5YdNSnn9VI5XRyIK/3mKmP5yZpz7OPPVxdigAuBQAsiDTb+rh0Qnuf/wU9zx2nJ6BMYIB\nhy3rYty0pYF1yytwfLBgUH84M099nHnq4+xYiACgU7XJolAUCXHLNY3cvHUZD+9r4d6dJ3nsQBuP\nHWijoaaEG7c0cO3Geooi+i8rIrIQNAMg85LtVJ9MJjl4spf79jSx80Ab8USSSEGQ7ZfVc9PmBhpi\npVmrJVv0ySnz1MeZpz7ODu0CcCkAZIGXb+regVF+/dtmfrWnie7+UQDM8gpu2rqMzWtrCAXz4zBC\n/eHMPPVx5qmPs0O7AMQXyksjvHT7Sl60rZHHD3Zy356TPHW0G3uih/LSAq6/cinXb2rw3aJBEZGL\noQAgOSMYCLDVxNhqYjR3DnLfniZ2PNnCj3Yc5ScPHmPLuhpu3LKM9Y3+WDQoInIxtAtA5mWxTuuN\njsV5+KkWfrm7iRNtAwAsqS7m+iuXcs2ldZSX5s6swGLt43yiPs489XF2aA2ASwEgCxb7mzqZTHK4\nqY9f7naPHognkgQch8tXV/Hsy5dw5ZpqwqHFfabBxd7H+UB9nHnq4+zQGgCRFMdxWLOsnDXLyvnD\n563lsf1t/ObJZp443MkThzspioS4an0t2y+rZ82ycl2ISER8TzMAMi+5mupPtg3w4L4WHt7XQs/A\nGAA15YVs21jPtRvrWFJd4nGFp+VqH+cS9XHmqY+zQ7sAXAoAWZDrb+pEIsn+4908tLeFXbad0fE4\nAKuWRNm2sZ6rN9RRXlLgaY253se5QH2ceerj7FAAcCkAZEE+valHx+LsPtjOw/ta2Xeki0QyieO4\n5xa4akMdW9fFKPMgDORTHy9W6uPMUx9nhwKASwEgC/L1Td07OMaj+1t5bH8bh5p6AXAcWN9YydUb\natmyLka0ODthIF/7eDFRH2ee+jg7FABcCgBZ4Ic3dVffCDtT1x84fKoPgIDjYBoreJaJsWVdLKOH\nFfqhj72mPs489XF2KAC4FACywG9v6o7eYXYeaGeXPR0GHGDNsnI2r42xeV0NdZXFC/qafutjL6iP\nM099nB0KAC4FgCzw85u6q2+EXU+3s+tAGwebepl8yzTESti8NsaWdTWsqIte9NkH/dzH2aI+zjz1\ncXYoALgUALJAb2pX3+AYTxzqYM/BDvYe6WIingCgMhphy9oYm9bWsG55BeHQ+V+gSH2ceerjzFMf\nZ4cCgEsBIAv0pj7TyNgE+450sfvpDn57uIPBkQkAIuEgG1ZUsnldDVeuqaFsnosI1ceZpz7OPPVx\nduhMgCIeKiwIsdXUstXUMhFPcPBED08c7uTJZzp5/FAHjx/qwAFWLS3jitXVXH5JNSvqozoLoYgs\nCpoBkHlRqj8/rd1D7LbtPHG4k0Mne0mk3mdlJQVsXFnFZaur2Liyatr5BtTHmac+zjz1cXZoF4BL\nASAL9Ka+cEMj4+w72s1vD3fw5DNd9A2OTd23oi7KxlVVXLaqim2bltHTPehhpflP/48zT32cHQoA\nLgWALNCbemEkkklOtg2w90gXe5/p5ODJXuIJ9z1YFAlilleycVUVl66spL6q+KKPLJDp9P8489TH\n2aEA4FIAyAK9qTNjdCzOgePd7D3SxYHj3TS1n54BqIxG2LCiEtNYwfrGSmrKCxUILpL+H2ee+jg7\nFABcCgBZoDd15sViUfYfbGPv0S72H+1m/7FuBobHp+6vLotgGisxyyswKyqJKRCcN/0/zjz1cXbo\nKACRPFNTUcQNmxq4YVMDiWSSU+2DHDjejT3egz3Rw4N7W3hwbwsAVWURzPLJGYIKYhVFCgQiMm8K\nACKLVMBxWFZbyrLaUp73rOVuIOgYxB7vmQoFD+1r4aF9biCojEZY31jhzhI0VlCrQCAiZ6EAIJIj\nAo7Dslgpy2Kl3Lx1GYlkkuaOQQ4c78Ee7+bA8R4e2tfKQ/taATcQmMYKzHJ3DUFtpQKBiJymACCS\nowKOQ0OslIZUIEgmk5zqHJoKA/Z4Nw/va+XhVCCoKC2Ymh0wyyt0lIGIzykAiOQJx3FoqCmhoaaE\nm7acDgRPpwWCR55q5ZGn3EBQWhRmTUM5lzSUsaahnJVLyoiEgx7/FiKSLQoAInkqPRDcmAoEzakZ\ngoMneznU1Dt1ymKAYMChsa6USxrKWZP6qior9Pi3EJFMUQAQ8QnHcVhaU8LSVCAA6O4f5XCTGwYO\nNfVyrKWfI839/HznScBdR3DJ0jIuaSjnkoZyVtRFL+hKhyKy+CgAiPhYZTTCs9bX8qz1tQCMjcc5\n2tLP4VO9HDrZy+FTfey07ey07QCEgg4r6qKsXlrO6qVlrFoS1eGHIjlKAUBEphSEg6xbXsG65RVw\nDSSTSTp6Rzjc1Mvhpj4ONfWmAkLf1HNKCkOsWlLGyiVlrF5SxqqlZZSXzO8SyCLiHQUAEZmT4zjE\nKoqIVRSxbWM9AKPj8dSugr6pr71Huth7pGvqedVlhaxa6gaCFXWlNNZHKSkMe/VriMgsFABE5LxE\n0mcJUgaGxzna3MczzX0cOeV+33mgjZ0H2qYeU1NeSGNdlMa6Uhrroqyoi1JRWqDdByIeUQAQkYtW\nWhTmstXVXLa6GnB3HXT2jvBMcx/HWwc41trP8dZ+dj/dzu6n26eeV1YcToUCNxisqHfXFAQUCkQy\nTgFARBac4zjUVBRRU1HE1RvqADcU9AyMTYWBYy39HG8dOGP3QWFBkMba0qlgsKI+ypLqYkJBHX0g\nspAUAEQkKxzHoTIaoTIaYdOamqn2geFxTrT2c6x1wA0Grf0cbOrl6ZO9U48JBQM0xErc9QSpYLA8\nVkqkQCcuErlQCgAi4qnSojAbVlaxYWXVVNvoeJyTbacDwbHWAZraBzjW0g80A+A4UF9VzIq0XQiN\ndVFKi7TYUGQ+FABEZNGJhINTJx+aNBFP0Nw5NBUKjrf0c7xtgObOIR5Ond4Y3CMQGutKWVEXZXmd\ne/Gk6vJCrSsQmcFJJpNe13Cxku3t/V7XkPdisSjq58xSH5+/RDJJe88wxyd3H7S46wv6hsanPS4S\nDrK0poQ1yyuojkZoiJWwLFZKWXFYRyEsMP0/zo5YLHrR/3E1AyAiOSvgONRVFlNXWcxVqbMZTi42\nPN7az4m2AZo6BmlqH+R4q3vugnSlRWGWxUpoiJVOfW+oKaEooj+Nkv/0v1xE8kr6YsMr0xYbTsQT\njOGw9+k2TrYP0NQ+yMn2AQ4c7+HA8Z5p26iMRtzrJlSXsLSmmKU1JSypLtH6AskrCgAi4guhYIAl\nsSjFQWfq0ESAkbEJTnUM0dQ+wMn2QU51DnKqY5B9R7rYl3Z4IkBZSQFLq4unLqrkBoQSotqVIDlI\nAUBEfK2wIMTqpWWsXlo2rX1oZILmLjcMNHcMTQWD2WYMSovCU8FgSVow0JkOZTFTABARmUVxYYhL\nlpZzydLyae2jY/HTwaBziFMd7u2Z5y4AKIoEWVpdQn11MUuqS1hSVUx9dTGxiiKd2Eg8pwAgInIe\nIgVBVtaXsbJ++ozB+ESclq7hqUAwOWMw8+qJAMGAe5GlJdXF1KdCwZLqEuqrirXOQLJGAUBEZAGE\nQ0GW15ayvLZ0WvtEPEF7zzAtnUM0dw3R3DlIS9cQzR1DtHQNnbGdaHGYJVXF1FW54aAu9VVbUUQ4\npFkDWTgKACIiGRQKBtzp/+oSNqe1J5NJ+ofG3TDQ6e5OaOkaoqVzaNbdCY7jnuSovso97LG2qih1\nu4jq8kKCAYUDOT8KACIiHnAch7KSAspKCqZdWhlgfCJBW88wrV1DtHa5waC1a4iW7uEzLp4E7i6F\nmooi6iuL3BmDyiJqK4uprSyiqiyicCCzUgAQEVlkwqEADTUlNNSUnHHf0MgEbT1DtHYN09rtBoPW\nbjcsPNE1BIc7pz0+GHCoKS+cCgS1lUVTAaGmvFCLEX1MAUBEJIcUF4ZmXYQI7pUVW7uHaOseTn25\nt1u7h3nymc4zHj+5W6G2sojaiiJik98r3KBQWKAhIp/pX1dEJE+UFoUpLTrz0EWAoZFxWruHae9x\nA0Fb1xBtPcO09Qzz1NFunqL7jOeUFYeJVaYCQSoYxCqKqCkvpCIa0QWWcpwCgIiIDxQXhlm1JMyq\nJWfOHIyOxaeCQXuP+9XWM0x79zBHm/s53NR3xnNCQYfqskJqygupSYWC6vJC1q4cJ5RIUFaikyAt\ndgoAIiI+FykIsqy2lGUzDmEEiCcSdPWNuoGgZ5iOnhE6elO3e0fYd7QbZpk9CIcCU6EgVn46IMQq\n3KMWokU6fbLXFABERGROwUBgaup/NqNjcTr6RuhIBYKh8QTHm3vp6B2hs3eE5s4zz3UA7iWa0wNC\ndbk7mzAZEEoKQwoIGaYAICIiFyxSEJx2xEIsFqW9vX/q/uHRCTp7R2jvHZ4KBe09w3T2jtDRO0JT\nx+Cs2y2KBKkuK0rtYiikJjWL4H4VUVyo4etiqQdFRCRjiiKhOXcvgLs4sSMVBiZnEdyvYdp7hznZ\nPjDHdoNUlRVSnfqqKotQXX7654rSCIGAZhDORgFAREQ8U1wYprEwTGNd9Iz7kskkgyMTdPROrj1w\nZxK6ekfo7Buhs2+UpvbZZxCCAYeK0slQEJkKC1VlEaqihVSVFfp+FmFR/vbGmHpgN7DMWpvwuh4R\nEck+x3FShzaGZz3vAbgnRurqcwNBV98IHX0jdPWN0pkKCQdP9vB0cvbtFxa4swhV0chUMKicCgju\n90hBMIO/obcWZQAA3gPcD2j+RkRE5lRcGKK4cO5dDBPxBD39o6mAMEpXvztz0DX5c98Ip+ZYhwBQ\nUhiiMhqZCgrTbpcVUlkaydmQsOgCgDHmj4HvAX/mdS0iIpLbQsGAe56COY5iAHehYnf/KN39qWDQ\nP0p3/2RgcMPDyTl2NQAUR9yQUBmNUBGNUFkaobIs9T3VXroID3vMeAAwxlwB/AD4lLX2jlTbp4Fr\ngCTwTmvtTmPMG4ErgQCwBtgE/AHwrUzXKCIi/lUUCVEUCbF0lmsvTBoedXc1dPe7oWAyKPSkgkN3\n/+icRzSAG0QqSgumAkHlVFBwZxEqogVUlEayem2GjAYAY0wx8Eng7rS264E11trtxpj1wFeA7dba\nL8947grg25msT0REZD6KIiEaYqU0xGbf1QDuORG6ByYDgRsWevrH6OofoSfVfqipl+QcaxIcIFpS\nMG3moCIaoSp9ZiEaoSiyMEN3pmcARoGXAO9La7sZd0YAa+0BY0ylMabUWjvtWA9r7eszXJuIiMiC\niRQEqa8qpr6qeM7HxBMJegfG3KDQN0r3wPRZhO6BUU51DnKstX/ObdSUF/LVv3nBRdeb0QBgrY0D\ncWNMenMdsDPt53ZgCXDwQl8nFjvz8BFZeOrnzFMfZ576OPPUx2dXX3f2+5PJJAPD4+7JklInTeqa\nOpHSMOHQwuwmWAyLAB3ctQAXLP2sU5IZM8/uJQtPfZx56uPMUx8vnJKQQ0lNMStq5p5RuBjZW21w\nepA/BdSntS8FmrNYh4iIiO9lKwA4nD6m/x7gFQDGmC1Ak7V27qWTIiIisuAyfRTANuBLQC0wYYx5\nM3ADsMsYswOIA2/NZA0iIiJypkwvAnwYuHyWu96fydcVERGRs8vmGgARERFZJBQAREREfEgBQERE\nxIcUAERERHxIAUBERMSHFABERER8SAFARETEhxQAREREfEgBQERExIcUAERERHxIAUBERMSHFABE\nRER8SAFARETEhxQAREREfEgBQERExIcUAERERHxIAUBERMSHFABERER8SAFARETEhxQAREREfEgB\nQERExIcUAERERHxIAUBERMSHFABERER8SAFARETEhxQAREREfEgBQERExIcUAERERHxIAUBERMSH\nFABERER8SAFARETEhxQAREREfEgBQERExIcUAERERHxIAUBERMSHFABERER8SAFARETEhxQARERE\nfEgBQERExIcUAERERHxIAUBERMSHFABERER8SAFARETEhxQAREREfEgBQERExIcUAERERHxIAUBE\nRMSHFABERER8SAFARETEhxQAREREfEgBQERExIcUAERERHxIAUBERMSHFABERER8SAFARETEhxQA\nREREfEgBQERExIcUAERERHxIAUBERMSHFABERER8SAFARETEhxQAREREfEgBQERExIcUAERERHxI\nAUBERMSHFABERER8SAFARETEhxQAREREfEgBQERExIcUAERERHxIAUBERMSHFABERER8SAFARETE\nhxQAREREfEgBQERExIcUAERERHxIAUBERMSHQl4XMJMx5u+ABqAH+Ia19glvKxIREck/i3EGIAkM\n49H2FLMAAAbuSURBVIaTUx7XIiIikpcW3QwA8EWgE1gCvAv4oLfliIiI5J+MBwBjzBXAD4BPWWvv\nSLV9GrgG99P+O621O40xbwSuTD32PqAXiGS6PhERET/KaAAwxhQDnwTuTmu7Hlhjrd1ujFkPfAXY\nbq39cur+FwNfBeLAxzNZn4iIiF9legZgFPj/7d1rjF1VGcbx/zQYgdbUSsAGrWgiPiQmYrxUKViH\nUiNYDWqpIShNsQSvRFFJjFGJoCHBD6Q1fFFSDZgQ4ychYFK5lDZN4z2K0T5CrCFpoYpNpa2pSDt+\nWGvo8bRD57LPmdnu55dMcs46e85Z8+bM3u9ee+13vR/4ck/bJZSzfGzvlLRI0gLbB2vb/cD9A+5X\nREREpw00AbB9BDgiqbf5lcCvep7/nXK9//FpfszImWe+bJq/GlOROA9eYjx4ifHgJcbtMBfuAhih\nzAWIiIiIIRlmAjB+kN8DLO5pPxt4aoj9iIiI6LxhJQAj9QdgM3AFgKS3ALttHxpSPyIiIgIYGRsb\n3Oi7pHcC3wPOAp6n3N8/CtwILKfM9P+M7ccG1omIiIg4zkATgIiIiJib5sIkwIiIiBiyJAAREREd\nNBfXApi0E5UUnuUutZqk24CLKN+LWyn1Gu6mJIpPAVfbfk7SR4HPAUeB79reNEtdbiVJpwF/AG4G\nHiYxblSN3Y2UeUdfBx4jMW6MpAXAXcDLKeXavwH8icS4Ef3l8yUtYZKxlfQS4AfAayhz7K6xvWui\nz2rtCEBvSWFgPbBxlrvUapIuBt5Y43kpsIHyj/0d28uBJ4CPS5oPfI1S0XEUuEHSotnpdWt9FXim\nPr6ZxLgxks6gHPQvpFQhvZx8j5u2DthpewXljq6NJMaN6CufPz5Bbyr7iKuAfbbfBXyLk5TTb20C\nAKygp6QwsKhmpjE9W4GP1Mf/BOYD7wburW33ASuBpcAvbR+wfRjYTtnZxiTU9S/O41i568S4WSuB\nB20fsv207U9QdpCJcXP2AmfUx6+gVHMdJTFuwnj5/L09bVPZR7xwXAQe4iTxbnMCsJhjZ1FwrKRw\nTIPtIz31GNZTDlALbP+nto3Hd3F9PO5vJO5T8W3gBo7VxZifGDfqHOB0ST+RtFXSJSTGjbL9Y2CJ\npMcpK7d+gcS4EXU//O++5qnE9oXjou2jwJikCS/1tzkB6JeSwg2QdDlwDfDZvpdGTrD5i7VHH0lr\nga22n6xN/bFLjGduHuWs9EOUoerv972eGM+QpI8BT9o+l3I2egf/u+9NjAdnqrF90Zi3OQFISeGG\nSXov8BXgMtvPAgclvbS+/CpKzPvj/mpg91A72l7vA9ZI2gFcS5kLcEDSqfX1xHjmngZ22D5q+y/A\nARLjpi2jVHTF9u8psTuUGA/MZPbDx7XXCYEjtp+f6I3bnACkpHCDJC2kDE+vsr2/Nj9IjTGwGvgp\n8HPg7ZIW1jkXy4Btw+5vG9m+0vZS2xcAdwK3UK7Tra6bJMYztxlYIWmkTgicT/keJ8bNeYJy9xWS\nzgEOAj8jMW5Sb/n8yeyHL6TM49oMrKnbfoByl9HEH9LmSoCSbiUlhRsh6TrgJuDPtWmMMoR6J3Aq\n8FfKLSVHJK2m3GY1Bmy0fc/QO9xykm4CdlH+Ye8iMW5M/S6vr09vodzOmhg3pM5A30RZ2v0UykjW\nThLjGZugfP6llFv7ThpbSfMo++xzgcPAOtsTjrq0OgGIiIiI6WnzJYCIiIiYpiQAERERHZQEICIi\nooOSAERERHRQEoCIiIgOSgIQERHRQUkAImJgJK2TdPds9yMijpcEICIGKYVGIuaoFAKKCCRdTykh\negqlqtttlBUhHwDOr5tdaXuPpFWUtcj/VX+uq+3vAG4HngP2AWspJUzXAM8CbwB22b6CiJh1GQGI\n6DhJS4EP2l5uexmwH3gP8Dpgk+3lwBbgi5JOo5Qq/bDtFZS65N+sb/VD4Frbo8CjwCrKCMB5lPKl\nbwXeVNfuiIhZNuE6wRHRGaPA6yU9Up+fTlld7B+2f1vbtgOfp5zF77W9p7Y/CnyyLryz0PYfAWxv\ngDIHAPiF7cN1+93AwsH+ORExGUkAIuIwcK/t68cb6ipvv+nZZh7lbL7/muFIT/uJRhTHKIua9P9O\nRMyyXAKIiO3AZXWVNyR9GjgbWCTpzXWbi4DfUVaLPEvSktq+Ethhex/wjKS31ff4kqRPDfOPiIip\nSQIQ0XG2fw3cAWyRtI2yxPZ+ynD9WkkPARcAt9eh/PXAj+olg4spy8ECXA1skLSFsj75+O1/mWkc\nMQflLoCIOI6k1wLbbC852bYR0U4ZAYiIieTsIOL/WEYAIiIiOigjABERER2UBCAiIqKDkgBERER0\nUBKAiIiIDkoCEBER0UH/BfN1rkjMU+KTAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c36a0e0d0>"
       ]
      }
     ],
     "prompt_number": 334
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "write_submission_csv(net1, twod=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 261
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "## net2 (convnet)"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "X, y = load_data_2d()\n",
      "X_aug, y_aug = augment_by_rotate(X, y, amount=len(X) * 2, max_rotate=15)\n",
      "X = np.vstack([X, X_aug])\n",
      "y = np.hstack([y, y_aug])"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 304
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print(X.shape)\n",
      "print(y.shape)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "(126000, 1, 28, 28)\n",
        "(126000,)\n"
       ]
      }
     ],
     "prompt_number": 305
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "net2 = NeuralNet(\n",
      "    layers=[\n",
      "        ('input', layers.InputLayer),\n",
      "        ('conv1', Conv2DLayer),\n",
      "        ('pool1', MaxPool2DLayer),\n",
      "        ('dropout1', layers.DropoutLayer),\n",
      "\n",
      "        ('conv2', Conv2DLayer),\n",
      "        ('pool2', MaxPool2DLayer),\n",
      "        ('dropout2', layers.DropoutLayer),\n",
      "\n",
      "        ('conv3', Conv2DLayer),\n",
      "        ('pool3', MaxPool2DLayer),\n",
      "        ('dropout2', layers.DropoutLayer),\n",
      "\n",
      "        ('hidden4', layers.DenseLayer),\n",
      "        ('dropout2', layers.DropoutLayer),\n",
      "\n",
      "        ('hidden5', layers.DenseLayer),\n",
      "        ('output', layers.DenseLayer),\n",
      "    ],\n",
      "\n",
      "    input_shape=(BATCH_AMOUNT, 1, IMAGE_WIDTH, IMAGE_HEIGHT),\n",
      "\n",
      "    conv1_num_filters=32, conv1_filter_size=(3, 3), pool1_ds=(2, 2),\n",
      "    dropout1_p=0.1,\n",
      "\n",
      "    conv2_num_filters=64, conv2_filter_size=(2, 2), pool2_ds=(2, 2),\n",
      "    dropout2_p=0.2,\n",
      "\n",
      "    conv3_num_filters=128, conv3_filter_size=(2, 2), pool3_ds=(2, 2),\n",
      "    dropout3_p=0.3,\n",
      "\n",
      "    hidden4_num_units=500,\n",
      "    dropout4_p=0.5,\n",
      "\n",
      "    hidden5_num_units=500,\n",
      "\n",
      "    output_num_units=10,\n",
      "\n",
      "    loss=negative_log_likelihood,\n",
      "\n",
      "    update=nesterov_momentum,\n",
      "    update_learning_rate=theano.shared(float32(0.03)),\n",
      "    update_momentum=theano.shared(float32(0.9)),\n",
      "\n",
      "    regression=False,\n",
      "    output_nonlinearity=softmax,\n",
      "\n",
      "    on_epoch_finished=[\n",
      "        AdjustVariable('update_learning_rate', start=0.03, stop=0.0001),\n",
      "        AdjustVariable('update_momentum', start=0.9, stop=0.999),\n",
      "        EarlyStopping(patience=150)\n",
      "    ],\n",
      "\n",
      "    max_epochs=1000,\n",
      "    verbose=1\n",
      ")\n",
      "\n",
      "net2.fit(X, y)\n",
      "save_net(net2, 'net2.pickle')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "  InputLayer        \t(32, 1, 28, 28)     \tproduces     784 outputs\n",
        "  Conv2DCCLayer     \t(32, 32, 26, 26)    \tproduces   21632 outputs\n",
        "  MaxPool2DCCLayer  \t(32, 32, 13, 13)    \tproduces    5408 outputs\n",
        "  DropoutLayer      \t(32, 32, 13, 13)    \tproduces    5408 outputs\n",
        "  Conv2DCCLayer     \t(32, 64, 12, 12)    \tproduces    9216 outputs\n",
        "  MaxPool2DCCLayer  \t(32, 64, 6, 6)      \tproduces    2304 outputs\n",
        "  DropoutLayer      \t(32, 64, 6, 6)      \tproduces    2304 outputs\n",
        "  Conv2DCCLayer     \t(32, 128, 5, 5)     \tproduces    3200 outputs\n",
        "  MaxPool2DCCLayer  \t(32, 128, 3, 3)     \tproduces    1152 outputs\n",
        "  DropoutLayer      \t(32, 128, 3, 3)     \tproduces    1152 outputs\n",
        "  DenseLayer        \t(32, 500)           \tproduces     500 outputs\n",
        "  DropoutLayer      \t(32, 500)           \tproduces     500 outputs\n",
        "  DenseLayer        \t(32, 500)           \tproduces     500 outputs\n",
        "  DenseLayer        \t(32, 10)            \tproduces      10 outputs\n",
        "\n",
        " Epoch  |  Train loss  |  Valid loss  |  Train / Val  |  Valid acc  |  Dur\n",
        "--------|--------------|--------------|---------------|-------------|-------"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     1  |  \u001b[94m  0.281911\u001b[0m  |  \u001b[32m  0.073918\u001b[0m  |     3.813862  |     98.14%  |  12.9s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     2  |  \u001b[94m  0.082249\u001b[0m  |  \u001b[32m  0.057422\u001b[0m  |     1.432348  |     98.53%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "     3  |  \u001b[94m  0.061709\u001b[0m  |  \u001b[32m  0.042572\u001b[0m  |     1.449541  |     98.94%  |  12.7s"
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      },
      {
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       "stream": "stdout",
       "text": [
        "\n",
        "     4  |  \u001b[94m  0.050522\u001b[0m  |  \u001b[32m  0.038562\u001b[0m  |     1.310136  |     99.07%  |  12.7s"
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      },
      {
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       "stream": "stdout",
       "text": [
        "\n",
        "     5  |  \u001b[94m  0.046147\u001b[0m  |  \u001b[32m  0.029141\u001b[0m  |     1.583614  |     99.32%  |  12.7s"
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      },
      {
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       "stream": "stdout",
       "text": [
        "\n",
        "     6  |  \u001b[94m  0.039429\u001b[0m  |    0.033811  |     1.166174  |     99.23%  |  12.7s"
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      },
      {
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       "text": [
        "\n",
        "     7  |  \u001b[94m  0.035960\u001b[0m  |  \u001b[32m  0.025519\u001b[0m  |     1.409136  |     99.33%  |  12.7s"
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       "text": [
        "\n",
        "     8  |  \u001b[94m  0.031832\u001b[0m  |  \u001b[32m  0.019956\u001b[0m  |     1.595116  |     99.55%  |  12.7s"
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        "\n",
        "     9  |  \u001b[94m  0.028587\u001b[0m  |    0.029442  |     0.970952  |     99.29%  |  12.7s"
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        "\n",
        "    10  |  \u001b[94m  0.027266\u001b[0m  |  \u001b[32m  0.018629\u001b[0m  |     1.463622  |     99.53%  |  12.7s"
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        "\n",
        "    11  |  \u001b[94m  0.024478\u001b[0m  |    0.019442  |     1.258991  |     99.56%  |  12.7s"
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        "\n",
        "    12  |  \u001b[94m  0.023288\u001b[0m  |    0.019583  |     1.189155  |     99.52%  |  12.7s"
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        "\n",
        "    13  |  \u001b[94m  0.022137\u001b[0m  |    0.019360  |     1.143473  |     99.58%  |  12.7s"
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        "\n",
        "    14  |  \u001b[94m  0.020643\u001b[0m  |  \u001b[32m  0.016326\u001b[0m  |     1.264418  |     99.64%  |  12.6s"
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        "    15  |  \u001b[94m  0.019866\u001b[0m  |  \u001b[32m  0.012545\u001b[0m  |     1.583578  |     99.71%  |  12.7s"
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        "\n",
        "    16  |  \u001b[94m  0.019194\u001b[0m  |    0.017104  |     1.122158  |     99.58%  |  12.7s"
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        "    17  |  \u001b[94m  0.018140\u001b[0m  |  \u001b[32m  0.011812\u001b[0m  |     1.535821  |     99.73%  |  12.7s"
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        "    18  |  \u001b[94m  0.017955\u001b[0m  |    0.012870  |     1.395025  |     99.67%  |  12.7s"
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        "    19  |  \u001b[94m  0.016070\u001b[0m  |  \u001b[32m  0.011659\u001b[0m  |     1.378335  |     99.73%  |  12.7s"
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        "    23  |    0.014345  |    0.011860  |     1.209543  |     99.69%  |  12.7s"
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        "\n",
        "    24  |    0.014008  |    0.014027  |     0.998645  |     99.68%  |  12.7s"
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        "    28  |    0.013652  |    0.011495  |     1.187659  |     99.73%  |  12.6s"
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        "    29  |    0.012305  |    0.012773  |     0.963367  |     99.71%  |  12.6s"
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        "    30  |    0.011260  |    0.013037  |     0.863709  |     99.75%  |  12.7s"
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        "    31  |    0.011293  |    0.011253  |     1.003539  |     99.77%  |  12.6s"
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        "    34  |    0.009845  |    0.011227  |     0.876871  |     99.74%  |  12.7s"
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        "    36  |    0.010638  |    0.010786  |     0.986252  |     99.73%  |  12.6s"
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        "    39  |    0.009129  |    0.012013  |     0.759907  |     99.75%  |  12.7s"
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        "    40  |  \u001b[94m  0.007559\u001b[0m  |    0.013420  |     0.563265  |     99.73%  |  12.6s"
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        "    42  |    0.008692  |    0.010219  |     0.850607  |     99.77%  |  12.6s"
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        "    43  |    0.009547  |    0.011997  |     0.795790  |     99.75%  |  12.6s"
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        "    46  |    0.007735  |    0.011331  |     0.682651  |     99.82%  |  12.7s"
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        "    90  |    0.004913  |    0.010731  |     0.457851  |     99.83%  |  12.7s"
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        "    91  |    0.003947  |    0.012462  |     0.316734  |     99.79%  |  12.7s"
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        "    93  |    0.004845  |    0.013583  |     0.356713  |     99.78%  |  12.7s"
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        "    97  |    0.004928  |    0.010894  |     0.452300  |     99.83%  |  12.7s"
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        "    99  |    0.005021  |    0.013537  |     0.370905  |     99.78%  |  12.7s"
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        "   101  |    0.004916  |    0.009212  |     0.533634  |     99.84%  |  12.7s"
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        "   103  |    0.004711  |    0.009778  |     0.481811  |     99.85%  |  12.7s"
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        "   109  |    0.004254  |    0.009848  |     0.431956  |     99.81%  |  12.6s"
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        "   126  |    0.003497  |    0.012299  |     0.284318  |     99.84%  |  12.6s"
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        "   131  |    0.003433  |    0.012823  |     0.267679  |     99.83%  |  12.7s"
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        "   143  |    0.003310  |    0.011287  |     0.293289  |     99.81%  |  12.7s"
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        "   144  |    0.002791  |    0.010571  |     0.264066  |     99.85%  |  12.6s"
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        "   145  |    0.002969  |    0.012093  |     0.245466  |     99.80%  |  12.6s"
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        "   146  |    0.003536  |    0.010247  |     0.345082  |     99.84%  |  12.6s"
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        "   147  |    0.003302  |    0.009831  |     0.335889  |     99.83%  |  12.6s"
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        "   148  |    0.002898  |    0.009505  |     0.304923  |     99.83%  |  12.7s"
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        "   149  |    0.002958  |    0.009874  |     0.299609  |     99.83%  |  12.7s"
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        "   150  |    0.003385  |    0.010362  |     0.326655  |     99.81%  |  12.6s"
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        "   151  |    0.003513  |    0.010169  |     0.345520  |     99.82%  |  12.7s"
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        "   152  |    0.003905  |    0.011469  |     0.340481  |     99.82%  |  12.6s"
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        "   153  |    0.003534  |    0.011757  |     0.300631  |     99.81%  |  12.7s"
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        "   154  |    0.002915  |    0.010666  |     0.273311  |     99.83%  |  12.6s"
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        "   155  |    0.003193  |    0.010843  |     0.294512  |     99.82%  |  12.6s"
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        "   156  |    0.003414  |    0.010110  |     0.337678  |     99.80%  |  12.6s"
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        "   157  |    0.002683  |    0.010119  |     0.265174  |     99.83%  |  12.6s"
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       "text": [
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        "   158  |  \u001b[94m  0.002213\u001b[0m  |    0.010579  |     0.209179  |     99.86%  |  12.7s"
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        "   159  |    0.003438  |    0.010866  |     0.316439  |     99.82%  |  12.6s"
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       "text": [
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        "   160  |    0.002773  |    0.011384  |     0.243554  |     99.83%  |  12.6s"
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        "   437  |    0.001286  |    0.012504  |     0.102832  |     99.83%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   438  |    0.001177  |    0.014032  |     0.083872  |     99.84%  |  12.6s"
       ]
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   439  |    0.001327  |    0.012516  |     0.106028  |     99.87%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   440  |    0.001418  |    0.012080  |     0.117375  |     99.85%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   441  |    0.001563  |    0.009981  |     0.156552  |     99.88%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   442  |    0.001026  |    0.011099  |     0.092463  |     99.86%  |  12.7s"
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   443  |    0.001188  |    0.014295  |     0.083076  |     99.86%  |  12.7s"
       ]
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   444  |    0.002064  |    0.013013  |     0.158645  |     99.86%  |  12.7s"
       ]
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   445  |    0.001374  |    0.013387  |     0.102673  |     99.83%  |  12.6s"
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   446  |    0.001795  |    0.010669  |     0.168267  |     99.86%  |  12.6s"
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   447  |    0.001617  |    0.012375  |     0.130638  |     99.84%  |  12.7s"
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   448  |    0.001509  |    0.014139  |     0.106699  |     99.85%  |  12.7s"
       ]
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   449  |    0.000932  |    0.012651  |     0.073694  |     99.86%  |  12.7s"
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   450  |    0.001488  |    0.009932  |     0.149837  |     99.86%  |  12.7s"
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   451  |    0.001879  |    0.010921  |     0.172053  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   452  |    0.001187  |    0.014145  |     0.083888  |     99.83%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   453  |    0.001426  |    0.011659  |     0.122307  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   454  |    0.000879  |    0.012885  |     0.068200  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   455  |    0.001386  |    0.009594  |     0.144502  |     99.86%  |  12.7s"
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   456  |    0.001190  |    0.011008  |     0.108101  |     99.86%  |  12.7s"
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       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   457  |    0.001194  |    0.011278  |     0.105906  |     99.86%  |  12.7s"
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   458  |    0.001303  |    0.011979  |     0.108752  |     99.86%  |  12.7s"
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   459  |    0.001108  |    0.011892  |     0.093159  |     99.88%  |  12.7s"
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      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   460  |    0.001824  |    0.010819  |     0.168559  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   461  |    0.001806  |    0.010115  |     0.178588  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   462  |    0.001172  |    0.011047  |     0.106125  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   463  |    0.001161  |    0.011252  |     0.103228  |     99.87%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   464  |    0.001490  |    0.012905  |     0.115452  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   465  |  \u001b[94m  0.000738\u001b[0m  |    0.014368  |     0.051382  |     99.82%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   466  |    0.001944  |    0.012503  |     0.155487  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   467  |    0.001441  |    0.013794  |     0.104491  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   468  |    0.001097  |    0.011398  |     0.096215  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   469  |    0.001831  |    0.011208  |     0.163362  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   470  |    0.001457  |    0.012327  |     0.118163  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   471  |    0.001954  |    0.011863  |     0.164706  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   472  |    0.001412  |    0.014074  |     0.100351  |     99.85%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   473  |    0.000858  |    0.012856  |     0.066771  |     99.85%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   474  |    0.001480  |    0.014573  |     0.101588  |     99.82%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   475  |    0.000835  |    0.012819  |     0.065138  |     99.82%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   476  |    0.001146  |    0.010978  |     0.104421  |     99.88%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   477  |    0.002309  |    0.008758  |     0.263651  |     99.88%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   478  |    0.001820  |    0.013125  |     0.138696  |     99.84%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   479  |    0.001044  |    0.013178  |     0.079206  |     99.86%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   480  |    0.001600  |    0.010666  |     0.150014  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   481  |    0.001526  |    0.012998  |     0.117384  |     99.83%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   482  |    0.001577  |    0.011526  |     0.136826  |     99.84%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   483  |    0.001772  |    0.015320  |     0.115685  |     99.81%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   484  |    0.001760  |    0.012572  |     0.139996  |     99.87%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   485  |    0.001642  |    0.013245  |     0.123983  |     99.84%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   486  |    0.001642  |    0.012304  |     0.133428  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   487  |    0.000848  |    0.014031  |     0.060437  |     99.82%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   488  |    0.001172  |    0.013329  |     0.087910  |     99.83%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   489  |    0.001133  |    0.013865  |     0.081692  |     99.83%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   490  |    0.001253  |    0.010772  |     0.116357  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   491  |    0.001468  |    0.009702  |     0.151294  |     99.87%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   492  |    0.001497  |    0.013121  |     0.114112  |     99.82%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   493  |    0.001181  |    0.014117  |     0.083648  |     99.87%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   494  |    0.001366  |    0.012962  |     0.105390  |     99.87%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   495  |    0.001121  |    0.012159  |     0.092237  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   496  |    0.000911  |    0.014004  |     0.065056  |     99.84%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   497  |    0.001374  |    0.014687  |     0.093546  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   498  |    0.001864  |    0.010840  |     0.171942  |     99.88%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   499  |    0.001531  |    0.011892  |     0.128776  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   500  |    0.001300  |    0.011951  |     0.108803  |     99.87%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   501  |    0.001185  |    0.012260  |     0.096641  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   502  |    0.001343  |    0.015913  |     0.084418  |     99.83%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   503  |    0.000906  |    0.015361  |     0.059010  |     99.83%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   504  |    0.001203  |    0.014293  |     0.084185  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   505  |    0.001471  |    0.014025  |     0.104901  |     99.84%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   506  |    0.001644  |    0.013421  |     0.122531  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   507  |    0.000885  |    0.016428  |     0.053890  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   508  |    0.001140  |    0.015509  |     0.073527  |     99.86%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   509  |    0.001231  |    0.013818  |     0.089079  |     99.85%  |  12.7s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   510  |    0.001018  |    0.013212  |     0.077053  |     99.84%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   511  |    0.000988  |    0.012735  |     0.077603  |     99.82%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "   512  |    0.000890  |    0.012937  |     0.068783  |     99.87%  |  12.6s"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "\n",
        "Early stopping.\n",
        "Best valid loss was 0.007878 at epoch 311.\n"
       ]
      }
     ],
     "prompt_number": 307
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "y_pred = net2.predict(X)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 308
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot_samples(X, y, y_pred=y_pred, reshaped=False)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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lMBi4s6TZbC5F8qOSkkajwWAwYBOtXq/n7gaK4q/VakspR4qm3tlsho2NDe5o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\nyZWGhoaGhoaGxi3i/wf3drVhRkWVGQAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c3c85a510>"
       ]
      }
     ],
     "prompt_number": 309
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plot_loss(net2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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AhrtW3sdjm59kT6u96d3auuLvoaUF4L51D7O3dT+bGzUC4QAhS4Vho2VchQT9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\nW56vHxN70l63O6ds8qrSEH58xwrMFObHNeaM6k9fNdtQYli0cPoYfO2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71rd2RAx1/q24\nXS7DxlFW/Iagn5rTbzcV33npzaO4cNF4AMr9PFbfifuefBtVJUH29AcRgz4RgIc+f37G4fehUFNp\nva99Nn6fBysXjB/gq0klHmrrpMWRBK0HJwb9sqIAvnnLEsvXkiaWGqrRmXucwYAXd103L+s1FeT5\n4AJQrw7T5/k9uGzpRLyxs84wfKyfbwqUbVbnhMThfbdtIp9obLkS9H//z30oyvfjfz57rv5YLJGE\n22XMWbAKXNF4wlBF72uPvoEZE0ow3lS7QJv/Nq9EmHtGueUWv1bz+R+5eDomVhVmnAI61tCJtVtr\nbR8HlIqV2Yo1icP7+pI9U09f06yWM9bqUpxq6sKppi7DVBJ7+gOLc/pEUILOUCX0jQYLpo3BPR9e\nCAB6Sdq8gNjTT19tUFaYZztacsOqabjj2rm4cOF49fl9u9dutwsFIZ8+95unDsVfsHCc5fm59I7T\n5/StE/lEC6dXYOH0MQCUhkQimUQikcTLbx3F0bqOtCkcq8AViyXS6s3vOdqiZ8T/2/vOxBc/vFDP\ndxAD4Wc/MBe3XzPH9jN5PS5UC6NG2v3OdN8ffHabXk3QLinUp+ZqmFcjiI0/v9XwfiKJFosGV5O6\nyqCq1DhFIq4SYU9/YPGvHBGlufnymWk9TrEcsPbHXBzyN68BFwV8HpwlVeg7BPangSUuBdSCzcoF\n43G2ZJEDkEPtgrThfYug7zIFfZ/Xjc9+YB7mqkWDOruj+O0re/C7V/ciHI2nBUWrOf1YIqGv6Rc1\nqTv4TakuxKxJpfpxbVCgMOTDwukVGVdrlBflGT6HNoqVa9KqVdlgwL7xYJz6SX9fcU5ffG1tU6QJ\nVfa7Q9pV86O+YdAnojRWUx1eIfBpwUPs6VsFSzMtOJj3E+gNsQqh2MMstFgSKQb0f79hPj500XS9\nNK7VOX6vW39NcfWBeU5fU1aUqhuwZvPx1Pmm6oZWWfGxWNIyx0BbrmgeRtemWcRRB7uSvWNKgoZG\nmPbzytQwE9lt32zXeBB/DwxL9typRL7GtjBcMI4iaPURKkvTKxZq9hxrxRMv7maPf4Aw6BNRGrGn\net68sQCM5XW1np5YeyCXoK+d05+evjjNIL5nocVQvhjQZ00qxSWLJ6TNz4vnuFwu/TUL81PH7VYk\naKMOzR1hw8586cP7xoDl9ShlfcUiNGbmhlfcIug/cNe5+NBF09OeGwp4LRPqcu/pW4+Q2Pb0fdYj\nPtp9iMeTONnUhfLiPMPOhpqARSNQe48//+ugsjXyofRCQNR7DPpEpLvxkhk4Z3aV4Y/6TZfNxH//\n2zJMHZfaSEcLImIwzKUXqfUI+1MbQUwoNOw9YBGoxDl9rfdt3sDFHOCmjCvC5OpCLJg2RniuddDX\n6gYcO2WsjGfesdA8vJ/n9yhD3hbz3BrzPbr8nIlwu1y46bKZqXO8HsvefiQaNw6z5zCnL7Lr6WvP\nN6/3tx3eV+/D5r31aOuMoLosZFn0x2fxu2OuYGnVWKDeY9AnIt2qRTX49NVzDMVy3G4XxhQbh1/F\n4KH33j29Gd7vR9AXevri/HDQogyx1THz/jHmaykK+fH1mxcb5tOz9fTNdfjNc/q3Xn2m4fuATwn6\n4mqCMaad+LymXQ9rKgrw6JcvTNt8aJIwH37NuVMAAOcvGGdohGn3SZwy0M7VXLpkgv51RbH1cLvP\nZsQgYJPboTUOdxxQtvytLgvh1itnG56rFXK696PGoj9ilUbAWKWP+o5Bn4h6TRx61grgdEey1+UP\nDEDQF+ePxR6pVXEiqx3zbr58puF7u2sRe/d21QW1nv4RU0/fXHZ3yZxqfPsTqeWMXq8b0XgSbZ0R\nuAA88qWV+M+Pn60/7nLlvuvhpOpCfO76ebhk8QRctWIyHrz7PCycXgG/RUKdzxT0tQbbvKnluGFV\naprgsqUT9ZUWQOpe5JLIZ5W9ryku8GPBtDG4/84V+jGtAuKMCSW4UfjZFASNPf32bvtREcodgz4R\n9Zr4R18bHu/szt4TG4g5/aDNkL7VkLRVsJ57Rjl+cc9K/Xu7oXsx6NqdoyUPHjdtvuO1ON9cqS4e\nT6CtK4qCkA8et9swatHb6Y95U8fgQxdNh9vl0nMUtCFzj0UCppl5K+OCkA8fu1SCpNbkD5lGCsw/\nP/HnkGnPgYXTlRUW4rSLcdQodQ/MPX1zcR/qmxFXnEeSpBUAbgPgB/BDWZY3DfMlEZGJGEi0YNWZ\nww582h/yUD82BwoKvUrxdaSJJThnThWWzKrCg89u04+fM6cq7f3EQONyuXDteVNQbdrcSBzStxve\nL7Upm2y1wY7PlFgXVYf3S9UVAF6Psq1vTyQ+IIWitKVuhsaEKVgn1fRDbR5+Rk0x9h1v0xtLWiJe\nMOBFe1dUT7gzN4LEnr44NST29D/6nhkYpy4D9XrcCAY86A7HDaMx4jSBueZDexd7+gNhxAV9AK0A\nPgVgHoCVABj0iUawK5dPxu4jW3D50olZzx1bno/PvO9MTJ9QkvVcO3kB6+F9j9uNT1+VXrDG6hgA\n3HL5TBQXKAH3qhVT0h4XM/Dtevr5eT5Mri7Ua+J73C7EE0nL/RXEQO5TdxKMIIFJoULh9bxK0B+A\nQlHapjYhw6ZM1nkXWmPgy6Z5dS34FwR9uGhRDaaOL057LgDb0rziZzYnHObn+ZSg77VZjcE5/UEx\n4oK+LMs7JEm6HMA9UII/EY0wYib17Mll+NWXL0zbKc/O2TMr+/Xe4vC+3Tr1B+8+D9ku57z51lX8\nNOIQfaZCOFPGFuHQyXZMrCxAZ08MjW09WYf3I8IWv+Kyx/w8HxrbwgOy82OXGvTFTYfMc+zaOkNt\neD/tZ6h+m0wm8Z7FqUQ/82l2PwexsWRe0lkY8qGhtceQ+Jexp5/D9BFlN+hBX5KkeQCeA/ATWZYf\nUo/dD2AplF+5u2VZfluSpE8CmA/gSVmWX5Ak6U0A3wTw2cG+RiLqJVMGfK4BfyAEbYaSRQOxeZI4\np58p6F+5fDJ6IjG877wz8MOn3gFgXdzIkAdhKv2r0RoAuWxxm422NLEkP/vOjVYjE0Cqp29e8WAW\n8Hswc2JJ2rRGxp6+eg/8FitBAItEPg7vD4hBDfqSJIUA/BjAS8KxCwBMk2V5uSRJMwE8BmC5LMuP\nqo9fKknSLwDkA3hyMK+PiPpmOFdM5/UjH6A33Dn29EsLA/iUOoWgtUGspgPEY9dfOBU7DjShtSOC\nlcK+AePG5GPHwSbLjYF665b3zsRTr+zFjZfMyHquC9ZBXz9qbuSZzgv4PfjSRxbBTBxZyDOtrtCK\nKdnN6YvD+xUleWhsDaOuuQtVpb3fiZJSBvtfTxjAlQDuFY5dBKXnD1mWd0uSVCpJUoEsyx3qsZcg\nNBJyUVFhX7eZjHivcsP7lFlBQZ5+j4b6XnUJm9cM5nu3hVND8OOri3J6L61oTSjkTzu/srJI/3rx\n3PFYPDd9Z8QZk8vx8ltHAfT/s1VUFOK/Zhi3Wy4Qev3i61tdLwAEAkrg9Xjchsf9pgBeVVFofb3e\n1HnVVcZzKsqUpL7C/IB+vLk7lQxaVZk698bLZ+P+pzbjtW0nccd18y0+LeVqUIO+LMtxAHFJksTD\nVQDeFr6vBzAWwN6+vk99fXv2kwgVFYW8VzngfbL3mfediT//6yCk8co9Go571d6WKl07mO/dJrxP\nT3ckp/dKqMPy8VjccL52n4IBD6rL8m1fqygv1dMdjM/WLmxvW1/frnfgu2w+XzSqBOFI1Ph5olFj\nVb1wl/XzxYqDXZ1hwzke9d0T8YR+XOzpiz/nOROK4fW4IB9q5L9NVV8bhSMhkc+F4R0tJKIcnT2z\nst+JeP1Vqmbcr5hbPajvIw7H57rEUMsxsKsY+9O7z8+YYDjOtGxwsGWrbJvKmcg8vp9nUfkQMA3v\nmxL5tLyLgE+c9xeTDlPH3W4XKkqCqGvqRjKZHNIcktPNUAZ97bemFoD4r3UcgBNDeB1ENIr5fR48\ndu+qQX+fvgV95f9Jm2hqt95ff588L+66bh7Ki/IyntdX2uuOr9AaF5mjvh7ysyXy2S3Zc1tn5gOp\nRD6fzZI980qDqtIQTjR2oaM7athemXpnqIK+C6nfn5cBfAvALyVJWgTguCzLnbbPJCIaBmL2fq5b\n0uo9/X68r7jRz0CbP60cn7pyNmZPKTMct2uK6I0Y83HTM8xJehpxVYC56p+2oY64P4JV3X5NdZmS\nwFfX1M2g3w+Dnb1/DoBHAFQCiEmSdBvUgjuSJK0HEAdwx2BeAxFRX4gBK9fhZLts95HC5XJh2Zmp\ngVa9B58l6ptHLvqyTt98D6dPKMENq6ZhyaxUsmEw4MWyOVWQJpamXVJlmbIJUH1LN6bVWBcJouwG\nO5HvdQBzLR76j8F8XyKi/rKrwpeJFtdGyzawi2dV4vV36zClusjyce0OZF2nbzO8n6mx5Ha5cOkS\nYxVHl8ulL3+MJxKoLA1isZpDsmh6BfYebWHA76eRkMhHRDTi9CXoa2FylMR83HzZTKxcMB7TbQKp\ny2ZSf0JlAbbtb9S/z5ar0Bcetxs/uG2Z/n1Rvl9vEFDfcZc9IiILfQlkgxD7BpXf58GMCSW2PXK7\nHIWrlk/GrVfMyuk9CkM+TBnLuhcjBXv6REQW8vxeXHRWjW0v2IpLL1s7Srr6Wdit2PP7PFgxdyya\n2noQzzL2f/+d52bdB4GGDoM+EZGNj74newlbg9MsuKXm9K0Du9XuhGaDMfRPfcfhfSKiAeIeZYl8\n2WQrNkSjD4M+EdEAcdktbB+lXCN9DSL1GoM+EdEASSW7nx5BUivCk23JHo0eDPpERANk7tRyAMDs\nyWVZzhwdtPX3fpt1+DT6MJGPiGiAXLFsEmZPLsMZY62L3Yw2V62YjOaOMK49L3vCHo08dpmvAAAJ\nkUlEQVQODPpERAPE43Zj2vjTp2JcUb4fd77fqqgqjVYc3iciInIIBn0iIiKHYNAnIiJyCAZ9IiIi\nh2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0Cci\nInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9\nIiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg\n0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJy\nCAZ9IiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggGfSIi\nIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAn\nIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggG\nfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKH\nYNAnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIi\ncggGfSIiIodg0CciInIIBn0iIiKHYNAnIiJyCAZ9IiIih2DQJyIicgjvcF+AFUmSqgFsBlAjy3Ji\nuK+HiIjodDBSe/pfAPAaANdwXwgREdHpYsQFfUmSPgrgWQA9w30tREREp5NBH96XJGkegOcA/ESW\n5YfUY/cDWAogCeBuWZbfliTpkwDmQ2mITAOwAMANAP5vsK+RiIjICQY16EuSFALwYwAvCccuADBN\nluXlkiTNBPAYgOWyLD9qeu4kAL8bzOsjIiJyksEe3g8DuBJAnXDsIig9f8iyvBtAqSRJBeYnyrL8\nCSbxERERDZxB7enLshwHEJckSTxcBeBt4ft6AGMB7O3j27gqKgr7+FTn4b3KDe9T7nivcsP7lBve\np8E1EhL5XFDm9omIiGgQDWXQ1wJ7LYBq4fg4ACeG8DqIiIgcaaiCvgupNfcvA7gOACRJWgTguCzL\nnUN0HURERI7lSiYHb2RdkqRzADwCoBJADEAjgJUAvgjgfABxAHfIsrx90C6CiIiIAAxy0CciIqKR\nYyQk8hEREdEQYNAnIiJyiBG5y16urMr5DvMlDTtz2WNJkiYAeBJKA+8EgI/JshxR9zi4G0ACwC9l\nWX5s2C56GEiS9N8AzoXyb+D7UGpH8D6ZqFU1H4eSl5MH4DsAtoH3ypIkSUEAOwB8G8A/wftkIEnS\nSgDPQLlHgPK79EMAvwHvUxr1HnwRSk7c1wFsRz9/p0ZtT18s5wvgVgAPDvMlDTtT2WMtWePbAH4q\ny/L5APYB+IQkSfkAvgalOuJKAJ+XJKl06K94eEiSdCGAOervzmUAHgDwLfA+WbkSwJuyLK8E8EEA\n94P3KpOvAmhQv+a/PWurZVm+UP3vbigNSd4nE0mSyqEE+hVQ/h1egwH4tzdqgz6AVcihnK/DWJU9\nvgDA8+rXfwFwMYAlAN6SZbldluUeAOuh/GI5xVooAQwAWgHkg/fJkizLT8uy/CP124kAjkL5w8J7\nZaLuJTITwN/UQ/ydsmbeMp33ydrFAF6RZblTluWTsizfhgH4tzeah/erAWwSvu9vOd9Rz6bscb4s\ny1H1a+0eVatfa06pxx1BvU9abYhbofyRvpT3yZ4kSRugFNK6CsofIt6rdD8EcAeAW9Tv+W8vXRLA\nbEmS/gygDMpoCO+TtUkAQuq9KoXSy+/3vRrNPX0zlvPNztzCznb8tCZJ0jVQ/kDfaXqI98lEnQq5\nBsBvTQ/xXgGQJOnjANbKsnxEPWT+/LxPir0AvinL8jUAbgLwKwAe4XHepxQ3lIbRtQBuBvC/psf7\ndK9Gc9BnOd/cdEiSFFC/Hg/lvpnvXQ2A40N9YcNJkqRLAXwFwOWyLLeB98mSJElnqcmgkGV5K5TR\nwXZJkvLUU3ivFO8FcL0kSRsBfBLK3D7vk4ksy7WyLD+jfn0AwEkoU7P8t5fuJICNsiwn1HvVjgH4\nnRrNQZ/lfO2JZY9fgXqfAHwAwAsA3gCwWJKkYjUPYjmAdUN+lcNEkqRiKEOxV8iy3KIe5n2ydh6A\nfwcASZKqoOQ/vALlHgG8VwAAWZY/JMvyElmWlwF4FEpy2qvgfTKQJOkjkiR9Q/26EkAFlB4s/+2l\nexnAKkmSXGpS34D82xvVFfkkSfo+WM5XZ1P2+DIoS67yABwCcIssy3FJkj4AZSlIEsCDsiw/NRzX\nPBwkSfo0gG8A2KMeSkIZPnsUvE8Gaq/iVwAmAAgC+CaUXJonwHtlSQ1qB6H80eZ9EqhB6f+gDFt7\noMxTbwHvkyX1b9Wt6rffgbK0uF/3alQHfSIiIsrdaB7eJyIiol5g0CciInIIBn0iIiKHYNAnIiJy\nCAZ9IiIih2DQJyIicggGfSIaNJIk3SxJ0pPDfR1EpGDQJ6LBxEIgRCMIi/MQESRJ+iyA66HU1t8N\n4L+h7D74dwDz1dM+JMtyrSRJV0DZv7tL/e/T6vGlAO4HEAHQBODjUMqrXg+gDcAMAAdlWb4ORDQs\n2NMncjhJkpYAeJ8sy+eru+m1AHgPgCkAHpNl+XwAawB8QZKkIJRSz++XZXkVlNrf/6W+1G8AfFKW\n5ZUAXgNwBZSe/kwo5ULPAjBP3SuDiIaBd7gvgIiG3UoA0yRJWq1+H4Kyg1ejLMvvqMfWA/gclN56\nnSzLterx1wDcrm4IUizL8k4AkGX5AUCZ0wfwpizLPer5xwEUD+7HISI7DPpE1APgeVmWP6sdkCRp\nEoDNwjluKL1283ygSzhuNXKYhLL5k/k5RDQMOLxPROsBXC5JUj4ASJL0GQDjoOxzvkA951wAW6Hs\nTFgpSdIE9fjFUPb8bgLQIEnS2epr3CNJ0r8N5YcgouwY9IkcTpblTQAeArBGkqR1ULarboEyFP9x\nSZJeBbAMwP3qMP2tAH6vTgdcCOCr6kt9DMADkiStAbACgLZUj9nCRCMEs/eJKI0kSZMBrJNleUK2\nc4lo9GBPn4jssEdAdJphT5+IiMgh2NMnIiJyCAZ9IiIih2DQJyIicggGfSIiIodg0CciInKI/w9G\nzVWqd4Vj/wAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c3ff7f750>"
       ]
      }
     ],
     "prompt_number": 312
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cm = confusion_matrix(y, y_pred)\n",
      "plt.figure(figsize=(16, 16))\n",
      "sns.heatmap(cm, annot=True,  fmt='', cmap='RdBu_r', xticklabels=range(10), yticklabels=range(10))"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 317,
       "text": [
        "<matplotlib.axes._subplots.AxesSubplot at 0x7f7c44178f90>"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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aW5PNWNMY0M/pNYkCAAAUoiADAAAoREEGAABQiGPvAQCArjQGBksPYaOjQwYA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\nGUg/OFZDcAAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x7f7c447c9790>"
       ]
      }
     ],
     "prompt_number": 317
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "net2.score(X, y)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 319,
       "text": [
        "0.9997301587301587"
       ]
      }
     ],
     "prompt_number": 319
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "write_submission_csv(net2)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 320
    }
   ],
   "metadata": {}
  }
 ]
}