02_pytorch_classification_exercise.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyMH2jnMyNEzKGhReO9028KP",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/alchemistklk/pytorch_tutorial/blob/master/02_pytorch_classification_exercise.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 02.PyTorch Classification Exercise"
      ],
      "metadata": {
        "id": "92Uv0i0JVh8J"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CQjTsCLRUemP"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "\n",
        "RANDOM_SEED = 42"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1. Make a binary classification dataset with Scikit-Learn's `make_moons()` functions\n",
        "\n",
        "- For consistency, the dataset should have 1000 samples and a `random_state=42`\n",
        "- Turn the data into PyTorch Tensor\n",
        "- Split the data into training data and test sets using `train_test_split` with 80% training and 20% testing"
      ],
      "metadata": {
        "id": "3NJfw-P4Vu8D"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.datasets import make_moons\n",
        "X, y = make_moons(n_samples=1000, noise=0.2, random_state=42)"
      ],
      "metadata": {
        "id": "EDq9p0DqV7Y1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "mk_moons = pd.DataFrame({\"X1\": X[:, 0], \"X2\":X[:, 1], \"y\": y})"
      ],
      "metadata": {
        "id": "juBOVhtBW90J"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.scatter(x=X[:, 0], y=X[:, 1], c=y, cmap=plt.cm.RdYlBu)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "M11pLNBSXDYB",
        "outputId": "ffbd7402-30d1-4942-ca17-b5188419e104"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x785d4db36260>"
            ]
          },
          "metadata": {},
          "execution_count": 32
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "# Turn data into tensor\n",
        "X = torch.from_numpy(X).type(torch.float)\n",
        "y = torch.from_numpy(y).type(torch.float)\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ],
      "metadata": {
        "id": "y1ccMJt3XIAq"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2. Building a model by subclassing `nn.Module` that incorporates non-activation functions and is capable of fitting the data you created in 1"
      ],
      "metadata": {
        "id": "B-XhUKBxZR-H"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from torch import nn\n",
        "class MoonModelV0(nn.Module):\n",
        "  def __init__(self):\n",
        "    super().__init__()\n",
        "    self.linear_stack_layers = nn.Sequential(\n",
        "        nn.Linear(in_features=2, out_features=30),\n",
        "        nn.ReLU(),\n",
        "        nn.Linear(in_features=30, out_features=30),\n",
        "        nn.ReLU(),\n",
        "        nn.Linear(in_features=30, out_features=1)\n",
        "    )\n",
        "  def forward(self, x):\n",
        "    return self.linear_stack_layers(x)\n",
        "\n",
        "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
        "moonModel_0 = MoonModelV0().to(device)\n",
        "moonModel_0.state_dict()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_LzpkNjdZoyb",
        "outputId": "2d8da7b4-894a-4b2e-9e5f-159a84dc5093"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "OrderedDict([('linear_stack_layers.0.weight',\n",
              "              tensor([[-0.6763, -0.2037],\n",
              "                      [ 0.2946, -0.3026],\n",
              "                      [-0.6842,  0.3884],\n",
              "                      [-0.3350,  0.0839],\n",
              "                      [-0.1056,  0.3677],\n",
              "                      [-0.6285,  0.2014],\n",
              "                      [ 0.0025, -0.5949],\n",
              "                      [ 0.5072, -0.6476],\n",
              "                      [-0.0476, -0.2255],\n",
              "                      [ 0.1069, -0.6231],\n",
              "                      [ 0.4857,  0.1614],\n",
              "                      [-0.3495, -0.6923],\n",
              "                      [ 0.5075,  0.5091],\n",
              "                      [ 0.1858,  0.6501],\n",
              "                      [ 0.1407, -0.2240],\n",
              "                      [ 0.6973, -0.6827],\n",
              "                      [ 0.4494,  0.6272],\n",
              "                      [-0.6654, -0.0271],\n",
              "                      [ 0.0923, -0.1645],\n",
              "                      [ 0.6552,  0.2839],\n",
              "                      [ 0.6207,  0.5611],\n",
              "                      [-0.0916,  0.4731],\n",
              "                      [ 0.4627, -0.0312],\n",
              "                      [ 0.1737,  0.0422],\n",
              "                      [ 0.0549,  0.6621],\n",
              "                      [-0.4923,  0.7063],\n",
              "                      [-0.6834, -0.3994],\n",
              "                      [-0.3830,  0.0643],\n",
              "                      [-0.4594,  0.0336],\n",
              "                      [-0.6665, -0.2918]])),\n",
              "             ('linear_stack_layers.0.bias',\n",
              "              tensor([-0.1384,  0.0141,  0.2524, -0.0061, -0.6380, -0.6165,  0.2734,  0.1792,\n",
              "                       0.2834,  0.2158,  0.5094, -0.0254, -0.3972,  0.3715,  0.0161, -0.4991,\n",
              "                       0.1670, -0.6204,  0.7001, -0.0178, -0.5094, -0.5129, -0.3658, -0.4383,\n",
              "                       0.1127, -0.3642,  0.6283, -0.3865, -0.5667, -0.4387])),\n",
              "             ('linear_stack_layers.2.weight',\n",
              "              tensor([[ 1.0984e-01,  5.8705e-02,  1.1539e-01,  1.4763e-01, -1.0025e-01,\n",
              "                        1.1072e-01,  7.3178e-02, -1.7989e-01,  6.4382e-02, -1.4694e-02,\n",
              "                       -3.5657e-02, -1.5385e-01, -9.8036e-02,  5.6951e-02,  1.6814e-01,\n",
              "                        4.0889e-02, -2.5681e-02, -4.3065e-02, -1.6639e-01,  6.1126e-02,\n",
              "                       -2.5899e-02, -8.2861e-02, -8.5277e-02,  1.4364e-01,  7.7152e-02,\n",
              "                       -7.3437e-02,  4.5663e-02,  1.2106e-01,  1.0649e-01,  2.6011e-02],\n",
              "                      [-1.3482e-01,  9.9698e-02, -4.8617e-02,  1.7301e-01, -1.4973e-01,\n",
              "                       -1.6048e-01, -1.6346e-03,  1.4993e-01,  1.1505e-01,  1.7397e-02,\n",
              "                       -1.7351e-01, -1.3861e-01, -7.5009e-02, -1.1296e-01, -6.3423e-02,\n",
              "                        1.4515e-01, -1.7431e-01, -6.1635e-02,  1.1770e-01,  1.1711e-01,\n",
              "                       -1.7969e-01,  1.6447e-01,  8.6634e-02, -3.8306e-02, -6.1120e-02,\n",
              "                        8.2522e-02,  1.8042e-01, -1.3590e-01, -7.7543e-02,  8.2236e-02],\n",
              "                      [-1.3729e-01, -1.4641e-01,  4.8734e-02, -3.9662e-02,  1.3257e-01,\n",
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              "                       -1.3602e-01, -8.0929e-02,  3.0357e-02, -2.6661e-02, -1.5453e-01,\n",
              "                       -1.6529e-01,  9.4726e-02,  1.0069e-01, -9.5147e-02,  1.7919e-02],\n",
              "                      [ 1.1172e-01, -1.3904e-01,  1.8156e-01, -1.1869e-01, -5.0761e-02,\n",
              "                       -5.8943e-02,  1.6324e-01,  1.3970e-01, -2.3004e-02, -3.6998e-02,\n",
              "                       -1.7763e-01,  2.1789e-02,  1.4807e-01, -1.2349e-01, -1.4267e-01,\n",
              "                       -7.3652e-02,  1.4947e-01,  1.1444e-01,  1.7439e-01, -4.6602e-02,\n",
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              "                       -6.0113e-02,  8.5140e-02,  1.5559e-01, -6.6341e-02,  1.3470e-01],\n",
              "                      [ 4.4239e-02, -1.0193e-01, -1.7277e-01,  3.2583e-02,  5.5506e-02,\n",
              "                       -1.8918e-02, -1.4469e-01, -1.3228e-01,  1.2145e-01, -6.1140e-02,\n",
              "                       -3.2088e-02,  1.5235e-01, -3.9269e-02,  7.8504e-02, -4.8432e-02,\n",
              "                        1.2402e-01,  1.4264e-01,  5.1456e-04,  2.0654e-02, -5.1806e-02,\n",
              "                        1.1698e-01, -1.1945e-01,  1.1591e-01, -1.4853e-01,  6.2219e-02,\n",
              "                        7.7261e-02, -1.5767e-01,  3.6776e-02, -3.5397e-02, -1.5508e-01],\n",
              "                      [-1.2541e-01, -1.4956e-01, -4.2447e-02,  1.2878e-01, -4.1531e-02,\n",
              "                       -7.9613e-02,  1.3778e-01, -4.9454e-02,  1.8684e-02,  7.6096e-02,\n",
              "                       -1.2746e-01, -1.0461e-01,  4.3131e-02, -6.8929e-02,  1.8203e-01,\n",
              "                       -1.2784e-01,  5.7448e-02,  9.9986e-02, -1.8043e-01, -4.7283e-02,\n",
              "                        7.3994e-02,  3.8739e-02,  5.3611e-03, -1.1311e-01,  1.1830e-01,\n",
              "                        2.0783e-02,  1.8292e-02,  6.2647e-03, -1.2425e-01,  2.5767e-02],\n",
              "                      [-3.9044e-02,  1.4430e-01,  1.0371e-01, -1.3635e-01, -8.8938e-03,\n",
              "                       -1.3188e-01,  1.8036e-01,  1.5740e-01,  2.8064e-03,  7.3759e-02,\n",
              "                        1.4780e-01, -1.2693e-01, -5.8209e-02,  4.9676e-02,  1.0036e-02,\n",
              "                        1.4116e-01,  1.2794e-01, -6.5525e-02, -2.7131e-02,  1.2254e-01,\n",
              "                        9.5425e-02, -1.3554e-01,  6.9476e-02, -1.1487e-01, -1.1543e-01,\n",
              "                        1.3152e-01, -1.1995e-01,  1.6084e-01,  1.8069e-01, -1.7937e-01],\n",
              "                      [-1.3075e-01,  1.7680e-01, -7.6801e-02, -2.1337e-02,  1.4782e-01,\n",
              "                       -1.4835e-01,  1.6683e-01,  3.5598e-02, -8.5501e-02, -4.9991e-03,\n",
              "                       -7.3628e-02,  1.7969e-01, -9.4766e-02, -1.8210e-01, -7.8163e-02,\n",
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              "                       -3.7383e-03,  1.6932e-01, -1.4033e-01,  3.6931e-03,  6.7794e-02,\n",
              "                        7.8345e-02,  1.5136e-01,  1.0218e-01, -1.5324e-01,  4.1654e-02],\n",
              "                      [ 6.9773e-03, -4.0953e-02,  2.0058e-02, -6.0705e-02, -1.3742e-01,\n",
              "                       -1.6877e-01, -2.9212e-02, -1.4464e-01,  2.8302e-02, -9.6131e-02,\n",
              "                        1.1548e-01, -8.0085e-02, -1.7685e-01, -5.9359e-02,  1.7590e-01,\n",
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              "                       -1.3433e-01, -1.7603e-02, -1.3851e-01,  1.8203e-01,  1.0731e-01,\n",
              "                       -9.5298e-02,  7.6942e-02,  1.0274e-02,  5.3540e-02,  9.3593e-02],\n",
              "                      [ 1.0505e-01,  6.3250e-02,  1.5655e-01,  1.3385e-01,  1.2427e-01,\n",
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              "                       -2.7940e-02, -3.4517e-02, -1.7644e-01,  8.1944e-02, -6.2231e-02],\n",
              "                      [-2.1167e-03, -1.5456e-01, -1.1078e-01, -4.7803e-02, -3.8821e-03,\n",
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              "                       -7.5462e-02, -8.3819e-02, -1.0900e-01, -1.6351e-02,  6.1228e-02,\n",
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              "                       -9.1654e-02, -1.7699e-01, -1.2154e-01,  9.4016e-02, -3.8641e-02],\n",
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              "                       -1.2433e-01,  1.4374e-01,  1.6477e-01,  1.6992e-01,  1.0426e-01],\n",
              "                      [-1.8139e-01,  6.2220e-02, -1.3673e-01, -4.5681e-02, -1.6897e-01,\n",
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              "                       -1.0160e-01,  9.5911e-02,  1.2426e-01,  1.0295e-01,  1.6596e-01],\n",
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              "                       -2.5177e-02,  1.2441e-01,  1.6081e-01, -1.5151e-01, -1.5358e-01],\n",
              "                      [-1.7978e-01,  2.6650e-02,  1.6563e-01, -5.0559e-02,  5.4736e-02,\n",
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              "                       -3.0424e-02,  1.4606e-01,  1.3572e-01,  1.8250e-01, -5.8579e-02,\n",
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              "                       -1.5055e-01,  1.4841e-01,  1.0398e-01,  5.2380e-02,  1.0202e-01],\n",
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              "                       -6.8192e-02, -3.3952e-03, -1.7053e-01,  2.6442e-02, -1.5642e-01,\n",
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              "                       -9.1174e-02, -1.2142e-01,  2.7512e-02, -1.7994e-02, -4.6699e-02],\n",
              "                      [-2.6822e-02, -1.3226e-01, -1.5477e-01, -1.5684e-02, -1.1647e-01,\n",
              "                       -2.6688e-02, -1.8012e-01, -9.3517e-02,  8.2799e-02, -1.0238e-01,\n",
              "                       -6.4829e-02, -4.7384e-02, -7.2749e-02,  1.5607e-01,  1.0154e-01,\n",
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              "                       -1.7543e-01, -5.0091e-02, -1.6749e-01, -1.7858e-01, -3.6686e-02,\n",
              "                       -1.3348e-01,  9.8142e-02,  4.4262e-02, -8.9134e-02,  1.3691e-01],\n",
              "                      [-1.4021e-01, -1.1338e-01, -1.4555e-01,  2.3206e-02,  5.0236e-02,\n",
              "                       -1.5283e-01, -5.5452e-02, -1.5237e-01,  4.6164e-02,  5.8513e-02,\n",
              "                        3.1221e-02, -1.2777e-01, -5.8910e-02, -1.4535e-01, -1.1417e-01,\n",
              "                        5.3564e-02, -4.7898e-02, -1.0890e-01,  4.5442e-02,  1.2838e-01,\n",
              "                       -9.7215e-02, -8.1764e-02,  1.3036e-01, -4.0297e-02,  4.5831e-02,\n",
              "                        7.8358e-02,  1.2730e-01, -1.2576e-02,  2.6249e-02,  1.5172e-01],\n",
              "                      [-1.4755e-01,  1.4227e-01,  4.6880e-02, -1.6406e-01, -1.4780e-01,\n",
              "                       -1.3680e-02,  9.6711e-02, -4.7905e-02, -1.2323e-01, -3.3655e-02,\n",
              "                        1.7938e-01,  1.0261e-01,  1.2233e-01, -9.6164e-02, -1.7527e-01,\n",
              "                        9.4635e-02, -1.1793e-01, -8.2998e-02, -2.3851e-02,  3.3739e-02,\n",
              "                       -9.5787e-02, -1.7024e-01,  4.9901e-03,  8.2611e-02, -1.4336e-01,\n",
              "                        2.1895e-02, -9.9661e-02,  1.1458e-01, -8.3265e-02,  8.4394e-02],\n",
              "                      [-1.9530e-02, -6.9555e-02, -1.2512e-01, -1.4289e-01,  5.8939e-02,\n",
              "                       -9.6955e-02,  9.9023e-02,  1.4683e-01, -7.3480e-03,  7.7747e-02,\n",
              "                        1.3018e-01,  6.1713e-02,  1.5249e-02, -5.5963e-02,  6.1431e-02,\n",
              "                       -1.1749e-01, -1.1127e-01, -7.1725e-02, -1.0843e-01,  1.0324e-01,\n",
              "                        1.8197e-01,  8.7445e-02,  7.6868e-02, -1.3887e-01, -1.3162e-01,\n",
              "                       -1.2997e-02,  2.2033e-02,  7.0346e-02, -3.9821e-02,  5.3434e-02],\n",
              "                      [-1.3466e-01, -1.8070e-01,  6.7719e-02,  4.2766e-03, -1.4947e-02,\n",
              "                       -1.2243e-01, -4.1799e-02,  1.6146e-01, -1.3823e-01, -4.3139e-02,\n",
              "                       -1.0213e-01,  1.7272e-02,  1.6550e-02, -9.3827e-02,  2.0218e-02,\n",
              "                       -4.2026e-02,  1.4573e-01, -2.4772e-03, -8.0430e-02, -1.4836e-01,\n",
              "                        8.6882e-02, -4.7081e-02,  8.3890e-02, -1.5945e-01,  1.2822e-01,\n",
              "                       -1.2210e-01,  3.0970e-02, -1.6715e-01, -1.2709e-02, -9.1716e-02],\n",
              "                      [ 1.6422e-01, -4.6462e-02, -4.3324e-02, -1.7871e-01, -1.2200e-01,\n",
              "                        1.5648e-01,  9.7829e-02, -6.1991e-02,  9.2754e-02,  2.9988e-02,\n",
              "                       -3.0025e-02,  3.2477e-02,  1.0885e-01, -2.3661e-02,  1.1913e-01,\n",
              "                        7.6637e-02, -2.4258e-02,  5.9611e-02, -6.1893e-02, -1.2981e-01,\n",
              "                        2.7563e-02,  1.0927e-01,  1.5146e-01, -1.0576e-01, -1.6234e-01,\n",
              "                       -3.7266e-02,  1.2774e-01, -1.5697e-02,  1.6951e-01,  6.4464e-02],\n",
              "                      [ 1.0037e-01, -3.6871e-03, -1.2881e-01,  1.4269e-01, -1.5234e-01,\n",
              "                       -4.4724e-03, -8.7463e-03,  1.4284e-01, -5.5701e-02, -1.3534e-01,\n",
              "                        1.7121e-01,  3.8516e-02,  4.2326e-02,  1.6781e-01, -1.1680e-01,\n",
              "                        1.2332e-01,  1.7940e-01,  1.1121e-01,  1.3528e-01, -4.5377e-02,\n",
              "                       -6.7311e-02, -3.9919e-02,  1.3397e-01, -1.5246e-01, -3.6937e-02,\n",
              "                       -1.4498e-01,  4.7286e-02,  5.3756e-02, -1.4197e-01, -4.0504e-02],\n",
              "                      [-2.8337e-02, -7.3833e-02, -6.2920e-02,  4.6725e-02, -1.3514e-01,\n",
              "                       -1.5670e-01,  9.9053e-02, -3.0879e-02,  3.0749e-02, -1.1231e-01,\n",
              "                        1.0111e-01, -1.2161e-01,  9.5825e-02,  6.8516e-02, -1.7942e-01,\n",
              "                        1.0997e-01, -6.5507e-02,  1.0137e-01,  1.1250e-01, -4.8775e-02,\n",
              "                       -2.0535e-02, -1.7516e-01, -1.6333e-01, -5.3437e-02, -1.1971e-01,\n",
              "                        1.0002e-01,  1.2699e-01, -1.2872e-02, -1.4748e-01, -1.2154e-01],\n",
              "                      [ 3.7199e-03,  3.5763e-02,  1.3211e-01, -8.4538e-02,  1.9899e-02,\n",
              "                       -1.0122e-01,  1.6976e-01,  9.0178e-02,  7.6561e-02,  7.7118e-02,\n",
              "                       -2.3987e-02, -3.1305e-02,  7.1045e-02, -1.6608e-01, -1.6663e-01,\n",
              "                       -3.2973e-02, -1.7917e-01, -9.3747e-02,  4.6091e-03, -1.2023e-01,\n",
              "                        1.7743e-01, -8.5591e-02,  1.1905e-01, -1.6762e-01,  4.1063e-02,\n",
              "                        9.3779e-02,  1.0893e-01, -7.7441e-02, -1.2455e-02,  2.4138e-02]])),\n",
              "             ('linear_stack_layers.2.bias',\n",
              "              tensor([-0.0342,  0.0105,  0.0830,  0.0645, -0.1508, -0.0919, -0.0663, -0.1390,\n",
              "                      -0.1071,  0.1635,  0.0410,  0.1128, -0.0067,  0.1067,  0.0379, -0.1768,\n",
              "                      -0.0199,  0.1554, -0.1156,  0.0900, -0.1277,  0.0669,  0.1053,  0.1514,\n",
              "                      -0.1420, -0.1347, -0.1429,  0.0286, -0.0800, -0.0157])),\n",
              "             ('linear_stack_layers.4.weight',\n",
              "              tensor([[-0.1476,  0.0710, -0.1294,  0.1464,  0.1360,  0.0559,  0.0365, -0.0957,\n",
              "                       -0.0320, -0.1449, -0.0127, -0.1186,  0.0286,  0.1223,  0.0446,  0.1630,\n",
              "                        0.0744, -0.1033, -0.0305,  0.0030, -0.1324,  0.0096, -0.1073, -0.1178,\n",
              "                        0.0438, -0.1727,  0.1757, -0.1439,  0.0131,  0.0252]])),\n",
              "             ('linear_stack_layers.4.bias', tensor([0.0720]))])"
            ]
          },
          "metadata": {},
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 3. Setup a binary classification compatible loss function and optimizer to use when training model build in 2"
      ],
      "metadata": {
        "id": "apT2--Wiave_"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# loss function\n",
        "loss_fn = nn.BCEWithLogitsLoss()\n",
        "# optimizer\n",
        "optimizer = torch.optim.SGD(moonModel_0.parameters(), lr=0.1)"
      ],
      "metadata": {
        "id": "UH1xlkwEa_6U"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 4. Creating a training and testing loop to fit the model you created in 2 to the data you created in 1"
      ],
      "metadata": {
        "id": "4gxn6V5FcCkl"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install torchmetrics"
      ],
      "metadata": {
        "id": "r7p4KV5TecIU"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import torchmetrics\n",
        "# Put the data to target device\n",
        "X_train, X_test = X_train.to(device), X_test.to(device)\n",
        "y_train, y_test = y_train.to(device), y_test.to(device)\n",
        "\n",
        "# Train and test model\n",
        "epochs = 1000\n",
        "for epoch in range(epochs):\n",
        "  ### Training\n",
        "  moonModel_0.train()\n",
        "  # 1. Forward pass\n",
        "  y_pred_logits = moonModel_0(X_train).squeeze()\n",
        "  y_pred = torch.round(torch.sigmoid(y_pred_logits))\n",
        "  # 2. Calculate loss\n",
        "  loss = loss_fn(y_pred_logits, y_train)\n",
        "  acc = torchmetrics.functional.accuracy(preds=y_pred, target=y_train, task=\"multiclass\", num_classes=2)\n",
        "  # 3. zero grad\n",
        "  optimizer.zero_grad()\n",
        "  # 4. backpropagation\n",
        "  loss.backward()\n",
        "  # 5. step\n",
        "  optimizer.step()\n",
        "\n",
        "  ### Testing\n",
        "  moonModel_0.eval()\n",
        "  with torch.inference_mode():\n",
        "    # 1. Forward Pass\n",
        "    y_test_logits = moonModel_0(X_test).squeeze()\n",
        "    test_pred = torch.round(torch.sigmoid(y_test_logits))\n",
        "    # 2. Calculate the loss\n",
        "    test_loss = loss_fn(y_test_logits, y_test)\n",
        "    test_acc = torchmetrics.functional.accuracy(preds=test_pred, target=y_test, task=\"multiclass\", num_classes=2)\n",
        "\n",
        "  if epoch % 100 == 0:\n",
        "    print(f\"epoch: {epoch} | loss:{loss}, acc: {acc} | test_loss:{test_loss}, test_acc:{test_acc}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FNqg_lSDcOrg",
        "outputId": "29d460b8-4b6e-4b46-d677-c759aa2c2114"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "epoch: 0 | loss:0.7016780972480774, acc: 0.3737500011920929 | test_loss:0.6965022087097168, test_acc:0.4350000023841858\n",
            "epoch: 100 | loss:0.2949330508708954, acc: 0.875 | test_loss:0.2979469299316406, test_acc:0.8650000095367432\n",
            "epoch: 200 | loss:0.2481350302696228, acc: 0.8899999856948853 | test_loss:0.2411322146654129, test_acc:0.8899999856948853\n",
            "epoch: 300 | loss:0.21001239120960236, acc: 0.9087499976158142 | test_loss:0.1992872655391693, test_acc:0.9150000214576721\n",
            "epoch: 400 | loss:0.16999028623104095, acc: 0.9325000047683716 | test_loss:0.15627478063106537, test_acc:0.9399999976158142\n",
            "epoch: 500 | loss:0.13647547364234924, acc: 0.9549999833106995 | test_loss:0.12076085060834885, test_acc:0.9700000286102295\n",
            "epoch: 600 | loss:0.11404597014188766, acc: 0.9612500071525574 | test_loss:0.09645702689886093, test_acc:0.9750000238418579\n",
            "epoch: 700 | loss:0.1002209261059761, acc: 0.9662500023841858 | test_loss:0.08121619373559952, test_acc:0.9750000238418579\n",
            "epoch: 800 | loss:0.09141615778207779, acc: 0.9700000286102295 | test_loss:0.07158856838941574, test_acc:0.9800000190734863\n",
            "epoch: 900 | loss:0.08547166734933853, acc: 0.96875 | test_loss:0.06497003883123398, test_acc:0.9800000190734863\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 5.Make predictions with your trained model and plot them using `plot_decision_boundary()` function created in this notebook"
      ],
      "metadata": {
        "id": "qc-y1sqlkYL8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the model predictions\n",
        "import numpy as np\n",
        "\n",
        "def plot_decision_boundary(model, X, y):\n",
        "\n",
        "    # Put everything to CPU (works better with NumPy + Matplotlib)\n",
        "    model.to(\"cpu\")\n",
        "    X, y = X.to(\"cpu\"), y.to(\"cpu\")\n",
        "\n",
        "    # Source - https://madewithml.com/courses/foundations/neural-networks/\n",
        "    # (with modifications)\n",
        "    x_min, x_max = X[:, 0].min() - 0.1, X[:, 0].max() + 0.1\n",
        "    y_min, y_max = X[:, 1].min() - 0.1, X[:, 1].max() + 0.1\n",
        "    xx, yy = np.meshgrid(np.linspace(x_min, x_max, 101),\n",
        "                         np.linspace(y_min, y_max, 101))\n",
        "\n",
        "    # Make features\n",
        "    X_to_pred_on = torch.from_numpy(np.column_stack((xx.ravel(), yy.ravel()))).float()\n",
        "\n",
        "    # Make predictions\n",
        "    model.eval()\n",
        "    with torch.inference_mode():\n",
        "        y_logits = model(X_to_pred_on)\n",
        "\n",
        "    # Test for multi-class or binary and adjust logits to prediction labels\n",
        "    if len(torch.unique(y)) > 2:\n",
        "        y_pred = torch.softmax(y_logits, dim=1).argmax(dim=1) # mutli-class\n",
        "    else:\n",
        "        y_pred = torch.round(torch.sigmoid(y_logits)) # binary\n",
        "\n",
        "    # Reshape preds and plot\n",
        "    y_pred = y_pred.reshape(xx.shape).detach().numpy()\n",
        "    plt.contourf(xx, yy, y_pred, cmap=plt.cm.RdYlBu, alpha=0.7)\n",
        "    plt.scatter(X[:, 0], X[:, 1], c=y, s=40, cmap=plt.cm.RdYlBu)\n",
        "    plt.xlim(xx.min(), xx.max())\n",
        "    plt.ylim(yy.min(), yy.max())"
      ],
      "metadata": {
        "id": "3GRO0yJdlM4w"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot decision boundaries for training and test sets\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.title(\"Train\")\n",
        "plot_decision_boundary(moonModel_0, X_train, y_train) # model_1 = no non-linearity\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.title(\"Test\")\n",
        "plot_decision_boundary(moonModel_0, X_test, y_test) # model_3 = has non-linearity"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 545
        },
        "id": "WCcgH8IolPas",
        "outputId": "f58326fa-2aa5-4457-adbc-5a23fb18f656"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 6. Replicate the Tanh(hyperbolic tangent) activation function in pure PyTorch"
      ],
      "metadata": {
        "id": "7VScHr7DljBP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a straight line tensor\n",
        "A = torch.arange(-10, 10, 1, dtype=torch.float)\n",
        "plt.plot(A)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "KcBLf-yDmI4R",
        "outputId": "800a78ce-2e0b-4d7a-8592-8c0bb2b205da"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x785d4df98ac0>]"
            ]
          },
          "metadata": {},
          "execution_count": 40
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Test torch.tanh() on the tensor and plot it\n",
        "def tanh(x):\n",
        "  return torch.tanh(x)\n",
        "plt.plot(tanh(A))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "W3kPT8FNmQt2",
        "outputId": "f0396ee5-c663-4caa-c19f-719a8e094350"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x785d4cc9d1e0>]"
            ]
          },
          "metadata": {},
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Replicate torch.tanh() and plot it\n",
        "def diy_tanh(x):\n",
        "  return (torch.exp(x) - torch.exp(-x)) / (torch.exp(x) + torch.exp(-x))\n",
        "plt.plot(diy_tanh(A))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 448
        },
        "id": "j4nVT4-Opfrq",
        "outputId": "b4009eae-6fbd-4c90-b343-5b3f9f353fbc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x785d4cd19e70>]"
            ]
          },
          "metadata": {},
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 7. Create a multi-class dataset using the spirals data creation function from CS231n\n",
        "\n",
        "- Split the data into traning and testing sets(80% train, 20% test) as well turn it into PyTorch tensor\n",
        "- Construct a model capable of fitting the data(you may need a combination of linear and non-linear layers)\n",
        "- Build a loss function and optimizer capable of handling multi-class data(use Adam instead of SGD, you may have to experiment different values of learning rate to get it working)\n",
        "- Make a traning and testing loop for multi-class data and train a model on it to reach over 95% testing accuracy\n",
        "- Plot the decision boundaries on spirals dataset from your model predictions"
      ],
      "metadata": {
        "id": "gTnlnrdGmYOj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Code for creating a spiral dataset from CS231n\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "RANDOM_SEED = 42\n",
        "np.random.seed(RANDOM_SEED)\n",
        "N = 100 # number of points per class\n",
        "D = 2 # dimensionality\n",
        "K = 3 # number of classes\n",
        "X = np.zeros((N*K,D)) # data matrix (each row = single example)\n",
        "y = np.zeros(N*K, dtype='uint8') # class labels\n",
        "for j in range(K):\n",
        "  ix = range(N*j,N*(j+1))\n",
        "  r = np.linspace(0.0,1,N) # radius\n",
        "  t = np.linspace(j*4,(j+1)*4,N) + np.random.randn(N)*0.2 # theta\n",
        "  X[ix] = np.c_[r*np.sin(t), r*np.cos(t)]\n",
        "  y[ix] = j\n",
        "# lets visualize the data\n",
        "plt.scatter(X[:, 0], X[:, 1], c=y, s=40, cmap=plt.cm.RdYlBu)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "id": "T9UuYvLZqKBb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "outputId": "ffde72a1-f000-4d02-ae29-c15931c10093"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Turn data into numpy\n",
        "X = torch.from_numpy(X).type(torch.float)\n",
        "y = torch.from_numpy(y).type(torch.LongTensor)\n",
        "\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 216
        },
        "id": "_cxhaZ42Nnxc",
        "outputId": "7f8fb90f-75ba-4d80-e51e-c698d2044326"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "error",
          "ename": "TypeError",
          "evalue": "expected np.ndarray (got Tensor)",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-73-d1c28848502d>\u001b[0m in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# Turn data into numpy\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mX\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0my\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_numpy\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0my\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLongTensor\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mX_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mX_test\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_train\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_test\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_test_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtest_size\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0.2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrandom_state\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m42\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mTypeError\u001b[0m: expected np.ndarray (got Tensor)"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install torchmetrics"
      ],
      "metadata": {
        "id": "FerJy1ENNurH"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from torchmetrics import Accuracy\n",
        "accuracy_fn = Accuracy(task=\"multiclass\", num_classes=3).to(device)"
      ],
      "metadata": {
        "id": "uCUHDohRNqA1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class SpiralModel(nn.Module):\n",
        "  def __init__(self):\n",
        "    super().__init__()\n",
        "    self.linear1 = nn.Linear(in_features=2, out_features=10)\n",
        "    self.linear2 = nn.Linear(in_features=10, out_features=10)\n",
        "    self.linear3 = nn.Linear(in_features=10, out_features=4)\n",
        "    self.relu = nn.ReLU()\n",
        "  def forward(self, x):\n",
        "    return self.linear3(self.relu(self.linear2(self.relu(self.linear1(x)))))\n",
        "\n",
        "# 运行到GPU上面\n",
        "spiralModel = SpiralModel().to(device)"
      ],
      "metadata": {
        "id": "dEDx8QLkO_uO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Setup data to device agnostic\n",
        "X_train, X_test, y_train, y_test = X_train.to(device), X_test.to(device), y_train.to(device), y_test.to(device)\n",
        "x_ori_logits = spiralModel(X_train[:10])\n",
        "x_ori_pred = torch.softmax(x_ori_logits, dim=1).argmax(dim=1)"
      ],
      "metadata": {
        "id": "QpY_EcPvjMRT"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Logits:\")\n",
        "print(x_ori_logits[:10])\n",
        "print(\"Pred probs\")\n",
        "print(x_ori_pred[:10])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "awH3yh7DkRso",
        "outputId": "c6f3bd22-ed8b-4de7-8028-2dbe6ee287fb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Logits:\n",
            "tensor([[-0.1373, -0.2802, -0.2005,  0.0586],\n",
            "        [-0.1390, -0.2827, -0.2006,  0.0552],\n",
            "        [-0.1245, -0.2694, -0.2211,  0.0629],\n",
            "        [-0.1105, -0.2534, -0.2459,  0.0648],\n",
            "        [-0.1165, -0.2554, -0.2429,  0.0627],\n",
            "        [-0.1203, -0.2644, -0.2295,  0.0637],\n",
            "        [-0.1208, -0.2654, -0.2280,  0.0638],\n",
            "        [-0.1415, -0.3153, -0.1898,  0.0487],\n",
            "        [-0.1285, -0.2713, -0.2136,  0.0598],\n",
            "        [-0.1105, -0.2533, -0.2461,  0.0647]], grad_fn=<SliceBackward0>)\n",
            "Pred probs\n",
            "tensor([3, 3, 3, 3, 3, 3, 3, 3, 3, 3])\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# setup loss function and optimizer\n",
        "loss_fn = torch.nn.CrossEntropyLoss()\n",
        "optimizer = torch.optim.Adam(spiralModel.parameters(), lr=0.01)\n"
      ],
      "metadata": {
        "id": "IhnAObpoNyI3"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "epochs = 1000\n",
        "for epoch in range(epochs):\n",
        "  ### Training\n",
        "  spiralModel.train()\n",
        "  # 1.Forward pass\n",
        "  x_pred_logits = spiralModel(X_train)\n",
        "  y_pred = torch.softmax(x_pred_logits, dim=1).argmax(dim=1)\n",
        "  # 2.Calculate the loss\n",
        "  loss = loss_fn(x_pred_logits, y_train)\n",
        "  acc = accuracy_fn(y_pred, y_train)\n",
        "  # 3. zero grad\n",
        "  optimizer.zero_grad()\n",
        "  # 4. backward\n",
        "  loss.backward()\n",
        "  # 5. step\n",
        "  optimizer.step()\n",
        "\n",
        "  ### Trainign\n",
        "  spiralModel.eval()\n",
        "  with torch.inference_mode():\n",
        "    # 1. Forward pass\n",
        "    test_logits = spiralModel(X_test)\n",
        "    test_pred = torch.softmax(test_logits, dim=1).argmax(dim=1)\n",
        "\n",
        "    # calculate the loss\n",
        "    test_loss = loss_fn(test_logits, y_test)\n",
        "    test_acc = accuracy_fn(test_pred, y_test)\n",
        "\n",
        "  if epoch % 100 == 0:\n",
        "    print(f\"Epoch: {epoch} | Loss: {loss}, Acc:{acc} | Test Loss:{test_loss}, Test Acc:{test_acc}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lXReQnmpkkyG",
        "outputId": "898b93f4-1aa0-49df-ca0f-6da6651a709b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch: 0 | Loss: 1.4516984224319458, Acc:0.0 | Test Loss:1.4256714582443237, Test Acc:0.0\n",
            "Epoch: 100 | Loss: 0.4046786427497864, Acc:0.8083333373069763 | Test Loss:0.3874358832836151, Test Acc:0.8500000238418579\n",
            "Epoch: 200 | Loss: 0.09102782607078552, Acc:0.9750000238418579 | Test Loss:0.057366080582141876, Test Acc:1.0\n",
            "Epoch: 300 | Loss: 0.054046232253313065, Acc:0.9916666746139526 | Test Loss:0.02026923932135105, Test Acc:1.0\n",
            "Epoch: 400 | Loss: 0.040612220764160156, Acc:0.9916666746139526 | Test Loss:0.011425652541220188, Test Acc:1.0\n",
            "Epoch: 500 | Loss: 0.029348956421017647, Acc:0.9916666746139526 | Test Loss:0.004619544371962547, Test Acc:1.0\n",
            "Epoch: 600 | Loss: 0.02511759288609028, Acc:0.9916666746139526 | Test Loss:0.002499561058357358, Test Acc:1.0\n",
            "Epoch: 700 | Loss: 0.022532017901539803, Acc:0.9916666746139526 | Test Loss:0.001360766589641571, Test Acc:1.0\n",
            "Epoch: 800 | Loss: 0.020725106820464134, Acc:0.9916666746139526 | Test Loss:0.0007696427637711167, Test Acc:1.0\n",
            "Epoch: 900 | Loss: 0.019371867179870605, Acc:0.9916666746139526 | Test Loss:0.00043914112029597163, Test Acc:1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot decision boundaries for training and testing\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.title(\"Train\")\n",
        "plot_decision_boundary(spiralModel, X_train, y_train)\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.title(\"Test\")\n",
        "plot_decision_boundary(spiralModel, X_test, y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 545
        },
        "id": "INBImS1uOFYb",
        "outputId": "f9e54f38-dfd5-42f8-8065-4f41e81ce496"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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AopI82OyRafDFpXlYt60JAX8D/L4ArHYLLBYmhhARESVbfqEd+YWZHgUREYVjwE4Z4fcFcOFUH7o7RqAGtBK1iiJQ31KKVetq5wTuFqsCi5WBOhERERERLR0M2CntAn4Vx17uhGtkCghrJ6OqEt0dIxgdmsTm9y2H1Ra/6BwREREtHccOdUBCBdqq0VYGOP09mR4SEVHKccqS0q7rwhBcw5HBeogEJlwedJ4bTPu4iIiIyJwiWree6mfrViJaMhiwU1pJKdHVPpxgJ+DKhWFINVpET0REREtRRNB+epRBOxEtCQzYKa0CAQnPlC/hfj5vAF5vIA0jIiIiomzBoJ2IlhoG7JRW82mbzh7rRETZ48knn0RLSwvy8vKwZcsWvPHGGzH3vfPOOyGEmHP78Ic/HNrnU5/61Jz777777nS8FDI5PWgXUABhz/RwiIhSikXnKK0Ui4Ly6kIMD7ijr2EHAAE4y/LnVIonIiJzeu6557B7927s378fW7Zswb59+7Bz506cO3cO1dXVc/b/5S9/Ca/XG/p6aGgI69evxyc+8YmI/e6++2783d/9Xehrh8ORuhdBRERkQpxhp7RrXl0ZO1gHAAm0rK5M23iIiGhxvvvd7+Lhhx/GQw89hDVr1mD//v0oKCjA008/HXX/8vJy1NbWhm4vvfQSCgoK5gTsDocjYr+ysrJ0vBwiIiLTYMBOaVdVV4xVbTUAABGW9a7///I1VahtKsnAyIiIaL68Xi+OHz+OHTt2hLYpioIdO3bgyJEjhp7jxz/+Me6//34UFhZGbD98+DCqq6uxevVqPPLIIxgaGkrq2ImIiMyOKfGUEa03VKGsuhBX2ocw3O+GBFBWVYBlKytQVlWY8PFERGQOg4ODCAQCqKmpidheU1ODs2fPJnz8G2+8gdOnT+PHP/5xxPa7774bH/3oR9Ha2oqLFy/iy1/+Mj74wQ/iyJEjsFjmLpnyeDzweDyhr10u1wJfERERkXkwYKeMKa0oQGlFQUqe+9ihDkiowNpStJU3wOnvScn3ISKixfnxj3+MtrY2bN68OWL7/fffH/r/trY2rFu3DitWrMDhw4fx/ve/f87z7N27F4899ljKx0tERJROTImnnMOWL0RE6VNZWQmLxYK+vr6I7X19faitrY37WLfbjWeffRZ/+Id/mPD7LF++HJWVlbhw4ULU+/fs2YOxsbHQ7cqVK8ZfBBERkUkxYKecxKCdiCg97HY7Nm7ciIMHD4a2qaqKgwcPYtu2bXEf+4tf/AIejwef/OQnE36f7u5uDA0Noa6uLur9DocDTqcz4kZERJTtGLBTzmLQTkSUHrt378ZTTz2FZ555BmfOnMEjjzwCt9uNhx56CADwwAMPYM+ePXMe9+Mf/xj33nsvKioqIrZPTEzgf/2v/4WjR4+is7MTBw8exD333IOVK1di586daXlNREREZsA17JTTmisLcXnQDQEFEPZMD4eIKCfdd999GBgYwKOPPore3l5s2LABBw4cCBWi6+rqgqJEzhGcO3cOr776Kl588cU5z2exWHDy5Ek888wzGB0dRX19Pe666y488cQT7MVORERLCgN2IiIiWrRdu3Zh165dUe87fPjwnG2rV6+GlDLq/vn5+XjhhReSOTwiIqKsxJR4IiIiIiIiIhNiwE5ERERERERkQgzYiYiIiIiIiEyIATsRERERERGRCTFgJyIiIiIiIjIhVomnefP7AujtGoN73APFoqC6vhjO8nwIITI9NCIiIiIiopzBgJ3mpadjBGfevAo1IKHH5x1nBlBSUYAN71kGRx7/pIiIiIiIiJIhLSnxTz75JFpaWpCXl4ctW7bgjTfeiLnvnXfeCSHEnNuHP/zh0D6f+tSn5tx/9913p+OlLGm9V8bwzm97oAa0vrlSajcAcA1P4tjhDgQCagZHSEREREuRy9qQ6SEQEaVEyqdDn3vuOezevRv79+/Hli1bsG/fPuzcuRPnzp1DdXX1nP1/+ctfwuv1hr4eGhrC+vXr8YlPfCJiv7vvvht/93d/F/ra4XCk7kUQpJRoP9kb537A7fKg78oY6lvK0jgyIiIiWmqaKwvx9sud2hdtlWgrG87oeIiIUiXlM+zf/e538fDDD+Ohhx7CmjVrsH//fhQUFODpp5+Oun95eTlqa2tDt5deegkFBQVzAnaHwxGxX1kZg8RUGhuawpTbl3C/no6RNIyGiIiICDh2qAOvnhrEqZFyzrITUU5KacDu9Xpx/Phx7NixY+YbKgp27NiBI0eOGHqOH//4x7j//vtRWFgYsf3w4cOorq7G6tWr8cgjj2BoaCjmc3g8HrhcrogbzY/X4ze0n2fK2H5EREREi9FcWQibInDsUAdeOdXPoJ2IclJKA/bBwUEEAgHU1NREbK+pqUFvb+z0at0bb7yB06dP49Of/nTE9rvvvhs//elPcfDgQXzzm9/Eyy+/jA9+8IMIBAJRn2fv3r0oKSkJ3Zqamhb+onKY3xdAz6URXDjdh8vnhzA9OTOjbncYWz1hZ9E5IiIiShM9aD9+6LIWtA8XMWgnopxi6ujqxz/+Mdra2rB58+aI7ffff3/o/9va2rBu3TqsWLEChw8fxvvf//45z7Nnzx7s3r079LXL5WLQHkZKicvnh3DhdF+o+ruUwLm3rqGhtQw33FyHkop85BXYIoL4aBpazbk04dihDkiowNpStJU3wOnvyfSQiIiIKAmaKwtxedANAQUQdpwaLuKxnohyRkpn2CsrK2GxWNDX1xexva+vD7W1tXEf63a78eyzz+IP//APE36f5cuXo7KyEhcuXIh6v8PhgNPpjLjRjK72IZx/uzei+ruup2MEp97ogRACq9pqYjwDIARQUGxHbVNJqoc7bxFX30+P8uo7ERFRjrIqdkDYMz0MIqKkSWnAbrfbsXHjRhw8eDC0TVVVHDx4ENu2bYv72F/84hfweDz45Cc/mfD7dHd3Y2hoCHV1dYse81Lj9wVw4VRf3H36rozBNTKFuuZS3HBzPRRFa8AuBEK92ItL87DpzlZYrGnpFDhvetAuoDBoJyIiIiKirJDylPjdu3fjwQcfxKZNm7B582bs27cPbrcbDz30EADggQceQENDA/bu3RvxuB//+Me49957UVFREbF9YmICjz32GD72sY+htrYWFy9exBe+8AWsXLkSO3fuTPXLyTn9V8cRCMi4+wgBXO0YgbMsH00ry1G7rATXLo/CPe6BYlFQXV+M0soCCD16Nym9Bcz6O1pCV99dVqbMERERERGROaU8YL/vvvswMDCARx99FL29vdiwYQMOHDgQKkTX1dUFRYmclT137hxeffVVvPjii3Oez2Kx4OTJk3jmmWcwOjqK+vp63HXXXXjiiSfYi30BPJO+0Jr1WKQEpsOqv9vsFixbVRH7ASbGvq1ERERERJQt0lJ0bteuXdi1a1fU+w4fPjxn2+rVqyFjRJD5+fl44YUXkjm8Jc1mt8QN1gFtht1mt6RnQOlmrYQL4Cw7ERERERGZjjkXHFPaVDc6kSiTXUqgrtl8xeSIiIiIiIhyGQP2Jc7usMZNbxcCKK0sQFlVYRpHRURERERERKbuw07psWpdLQJ+Fd2XRkLr2fV/SyoKcNNtzaYvKEdERGRWfl8AA1fH4Z32w55vRVW9E1aTdlUhIiJzYcBOUBSBNZsa0HxdJXo6RzA96YPNbkFtU0lWVH8nIiIyIyklOs4M4NKZAagBCQgAErBYFay4sRrN11XwGEtERHExYKeQQqcD162rzfQwiIiIcsKF0/3oODMwsyFY5DXgV3H+7V6oqsTyG6oyMzgiIsoKzMciIiIiSrLpKV9ksB7FxXf64fX44+5DRERLGwN2IiIioiS71jmqpcDHIVWJ3q6xtIyHiIiyEwN2IiIioiSbcnsTxesQQtuPiIgoFq5hJyIiIkoyq91ibD+bsf2IKA6bAPS3UgCAT2ZyNERJxRl2IsotVgB5AsgXgEMkTEklIkqF2qYSyAQxg5TafkS0QFYAxYp23LcFb/kKUKTMBPBEWY4BOxHlBgVAoQIUWLQDtlUAdqEdtB2zonYLtIM8D+ZElCLOsnxU1BTFvmgogOqGYhQ6HWkdF1HOsEALzgFtfYl+A7T3XYHCSIdyAv+MiSi7CWgH7EIFsOgHahF5cyjBIB5aAF9o0QL7Qov2tY3T8ESUfOu2NaG0sgBAWBwR/LeiuhBrNzdmaGREOcARFqzPpm+z8/hO2Y9r2Ikoe+mz6kD0A3Y4hwAUBXNyVPWAHyrXvBFRUtnsFtxyZyuG+924dnkU3mk/HPk21LeUorSyACLR5xbN2+G3r+K2tspMD4PSwZrg/SMEYAMwzWM7ZTcG7ESUvfIMBusAoAgtWJ+9r/51ngD8EuBxnYiSSAiBipoiLT2eUqa5shBvv9yJ9Xe0AABODRehrbwBTn9PZgdGqWH0WhcvilEOYEo8EWUnAe3q+nwOxon2ZWo8EVHW0oP2V08NAsKe6eFkNwEtSjDrYVFibsZcNCqvwlP24ww7Ec2fBTPrxf0SUDM0hmTjJUwioqz39sud2v+0VaKtDJxlnw8F2tpwK2Yucvsl4FUBfyYHFoVfRo5zNilnlrpZEMy0AxBYotl0AkvzdecABuxEZJxekVVPLwe0tHS/BKZU8x4I9LEmmmE36/iJiMiQ5spCXB5049ihDm0Dg3bjYtWFsUAr1DplslovHqll2kVb7iblTHAeXpRWv88nl8badgGtho8tmJEopXbhxatq/eopKzBgJ8P8vgC8ngBsdgts9uzuh3XsUAckVKCtGm1lmR5NllCgtUjRzTmYK4A7jVPtfkQ/SM9mNFgXAvBnIlWAiIiSKTxol1CBtaVcz25Efoy6MHqgZ7ZaLyq0844CJTh7HHa8VwF41JnXFE4vRieEdhEiV+nnbQKRbSqsErAq2gULM12AoZgYsFNC42PTuPROP/p6XKEP6cq6IqxYU42SioLMDm4B9AP58UOXtQ08kBuTqH2KIrX2Kd40fvj75MxBd7bwYN5IUK+CV5uJiHKEfqwXULie3YjwpW7R6EG7Lc3H+URUABNq5PgDwdnjeF1k9KDdB/Ol+idL3qxgXWfWCzAUEwN2imt0cBLHXu6AVCPf0EO9ExjqncCG25pRVVecuQEuEIP2eRKIv05Ml+4D+bTU0vOtiAzQ9avsiWbg9f1UAJM5fJWdiIgoHkuM1PJo+5kxwgtAS3/XKYh/AQIIXoBQcjO7TkH8tndmvQBDUbHEEsUkVYm3j3RBDcg5hTil1G4nj1yBP0s/6JorC2FTBI4fuoxXTo/i1HARXNaGTA/LnKJdoZ2zj8jMJ8qkqqW0BRCcKZfawcfo8Wdaail1PF4RERElkCUHSyPnI5k6b0kH/QKMkf3I9HL1z5SSYKB3HJ6p+HlCAb+K3q7R9AwoBfSgXU+ZY9Aeg9Hjc6aO4z6pBe7jqpYa5wnOvBtat54lJx9ERESp4jcwuw5kT/q4kUO7nMfFfaIMYsBOMY0NTRmKd8aGptIzoBTJ+b6teoXQIgUoVrQ1XfPtNx5qgxLnyBbePsUMjFxZJiIiIm1pmD/OcV7fbqbjfDx61l0iuXrRPmDwAkwgR19/jmHATjEZeZ/PZz/KAAu0QN0uZmacFWiFRgrm+fb3qPF7nQLmWgcV78QDCLY24dV1IiIiANryMhUz6x51+v9nW60XT4ILEBLmOm9Jply7ALPEMWCnmMqqChNenJQSKKsuTM+AaH4EZoLy8EBbBAN3C7TA3Sg/gr3WZeQN0A56ZlsH7gkrPBeNEFof0lQIvyhSELxgwgtbRERkZvqx3CNnAne9LsxEFvbt9oZl/oUXo9WD9Wy7ADFfU8HzsmiFqMLvJ9NjlXiKqby6EAXFdkxNeGPGPDaHBTUNzvQOjIzR095jzYrrLU0885hl9gVnpW1iplKs32Sp8DoVwJQE8mdVvtX/mD0yNWvxHEJrgad/Tym1n5VDaCcH2XbCQ0RES4tX5s7M87QEvIFgpmFwm8+k5y3Jpl+AsQfP9xQxk12oX5ShrMAZdopJCIEN71kGq80yZ3ZQCMBiEbjptmYoFv4ZmVK8dh46IYztF05PIZtStYDYzAc9f3BWwBs8QAWCJyFuNTUnIzYxt1+9ntEAaLPtnGknIiJKHxVa4D6pajczn7ckm4QWnE+ogCugFeedYrCebTjDTnEVOfOw7a6VuNw+hJ5Lw/D7VFisCupbStF8XQUKihyZHiLFk2sFBvRPLBXGDzb6wSodeV+OOH1s9dl2u5hJ1yciymKXB91RtzdXcqkcEVGyMGCnhPIKbFi9vhar19dCVSUUJceCwGyiYGaGNlFqdUBq69QTBe3prBBqBWBXZmb11eAMfaIA1iGC68DDXotfAtOqea4SK9DSzeIJX4ZARJQD1t/REvH12y934vKgm0E7EVGSMGCneWGwniEKgDwlMn1dLwQTK7XbJ2fSs6ORcn4z1YtlF9prCC+IoAjADu11uWMMJF/RPqlmX3iwQGtR5zZJ0M63BhEtIZcH3Vh/RwvuXF8/575jhzoYtBMRJQkXHxOZnR6YWmZtV4IBsCNGpKhCm4EG4lcITQf9ggMwN/AObzU3m1Vo68JjpZgD8S9KLJaAdqEhNMMfZ1+9om48kuvGiCj76cG6hAq/6o243dZWiU3bW+FTZcyUeSIiMo4z7ERmFyvQ1TkUwBeIHgh6JSCDFUL1gF8Gq6N70jgzbY+zthuIXbHeyOOsUgukE2WZG9knnB6kz97mjZHCL6H9XK0JxutjxE5E2evyoBs+VUJCxe1t1WgrG567U1slAC09noiIFocBO5GZWRBsnxaHXshsOk5qvE/OrH9Xkf6+m5YYs+Th9Jn28LX5Chb2uPDHO4KV8PWib0bameTFmdm3B/+NFrR7VMCqRL/IIKU2xkxWpxWYyatiezkiWqBN21txW1sl2qoUwA84/T2h+1zWBi2ITxC0M12eiMgYpsQTmZmRmgFCGNtPhRakZVO9M6NjjbafvpTAGhZ4623soi0x0AnEDtb154iVHq9CW1M/OxiWwYsmkxmaXRfQLkIUKUChRbsVx1lOQbQATz75JFpaWpCXl4ctW7bgjTfeiLnvT37yEwghIm55eXkR+0gp8eijj6Kurg75+fnYsWMH2tvbU/0yaJFCwbv0QkLF+jta5tyA2BXms5oteHxxBj9jCxROjRHRovFjhMjMjASsidZNm0FAJp4tj7a+25/gcTKYQh8tDs6Ps2ZeSu3+iSgPtBkMYm0iesE/FVpgrkDLLJDQXn+mfk0C2gmkQOTPQgQL/llE5i4kUM547rnnsHv3buzfvx9btmzBvn37sHPnTpw7dw7V1dVRH+N0OnHu3LnQ12LWe/Vb3/oW/uqv/grPPPMMWltb8ad/+qfYuXMn3n333TnBPZmL09+DtvIGYG0pIOxR98m5dPn8WcG5EIBFAgUWLfuK3UGIaIEYsBOZWUDGX8Oty2SatRFeqbVzi0WfgZ79Mrwy/jp2IbQTodmsiJ91IIIz5FahXRQIZzTvKFFcr0Kr5L9Q+muQ0Ma40KfSswFi/fwsUrv4YPa/ITK17373u3j44Yfx0EMPAQD279+P559/Hk8//TS+9KUvRX2MEAK1tbVR75NSYt++ffjKV76Ce+65BwDw05/+FDU1NfjVr36F+++/PzUvhJImFLRHE5YunxOp8XYRvZtJeHHUQECrc0JENE9MiScyM4lgIBsjmNK3Gwm29ErsRcpMqp7R2eTFSlSxXkX0NfgSM7O/MuznoP/rVaPPcluEsYrt0dLijU42pyq+tUL7HRVYtJR1/XcWrYq+EbP718fah2iBvF4vjh8/jh07doS2KYqCHTt24MiRIzEfNzExgebmZjQ1NeGee+7BO++8E7qvo6MDvb29Ec9ZUlKCLVu2xH1OMhenv2fODUBEunyqU+OPHerAK6f6cWq4CC5rjAsIi5XoM1QmuGhNRBQHPz2IzMwmIoPq8IBV//9Y/cvDWaGlRduC691FsGp8fjBwTwevBNyByPXdei/5eK8hAC113RMs2hYIzsa7A7EL7S2G30BGA5CaGWn9d6J/eyFmbjahXWgJv9iit50rVLRbfnBtvoAW7Bcqxov2ES3Q4OAgAoEAampqIrbX1NSgt7c36mNWr16Np59+Gv/8z/+M//2//zdUVcWtt96K7u5uAAg9bj7P6fF44HK5Im5kPtrM+wRuX1sKCTXU/m32LRmaKwthUwQEFEDYUxO0C8wcV2PuI2LXTSEiSoAp8URmZcXMOmzd7BMCd4LWbPru0dZz6/9vgRbcpWN9XQALWy8toQX20WbTo34fCYgEUagQQCDKWFRoM/exCs/FSt9Phngt/MK3WWSwe8Cs36ciAZtl5mKOkQsPRBmwbds2bNu2LfT1rbfeihtuuAF/8zd/gyeeeGJBz7l371489thjyRoipVDEGndAC6hnSVa6fHNlYWi9/G3BVHyXtSGisv2i8GOWiFKMATuRWTlitAcDZgqn2aIE2tFamemPiUYvPmbWgjhWBF8LZtqiJRqqH9rsfay123qxuljrCfWZe7uITK0XwbXeqZjZN9LCL3wcwNy/j1j/H4/e6o5ogSorK2GxWNDX1xexva+vL+Ya9dlsNhtuuukmXLhwAQBCj+vr60NdXV3Ec27YsCHqc+zZswe7d+8Ofe1yudDU1DSfl0JpFK8w3Sun+kMz78kO2tFWGb13/ELp9Uri1U3R23pGI5Bd3VuIKO0YsJtEwK/iWtcoui+NYHrSB5vdgvrmUjQsL4PdwV/TkiOQOHgTArAhMtC2YCbFPbyVWcLvF0zXM1NvbgHttYSvR7diJhsg0Wz7pKqlhM8OavXnSjTTPy0Bb2Am9VwC8CXIaFiMhcyGx7sIMx9GMxeIorDb7di4cSMOHjyIe++9FwCgqioOHjyIXbt2GXqOQCCAU6dO4UMf+hAAoLW1FbW1tTh48GAoQHe5XHj99dfxyCOPRH0Oh8MBh8Ox6NdD6ROzMF1w5v34octJC9oBbT07gGDQjuTNsvukduE73meyN+zgoS9b0jO5pNQuIHtSeIwhoqzFSNAEvB4/jh3uwMSYZ2bbtB/tp/rQeX4Qm+5sRXHJ3P60w/1udF8axuS4F1abBbVNTtQ1l8JqM/9CqVjr0zJZLfbYoQ5IqMDaUrSVJzFdbiGMxluz94vVyiyZ3zNdCmet5Q6XJwCpxl9HrkJb++4IXtjQT4p8Ugv4jcSoKtKXeZDu9nz695uOM/NDZNDu3bvx4IMPYtOmTdi8eTP27dsHt9sdqhr/wAMPoKGhAXv37gUAPP7449i6dStWrlyJ0dFRfPvb38bly5fx6U9/GoBWQf7zn/88vv71r2PVqlWhtm719fWhiwKUG6Ida8PT5fWgfbb5ni80VxamrsCdJ7hMyRLjArEvLJNJgXZ8AyIvrFslYFWAKZXV5Cn59FUnvCCUlRiwm8Dp17vhdnmi3ufzBvDmf3bi9g9dB8WivdvUgIqTR7vR3+OKyHgeGXDj4rsD2HRHC4pKzN+jdv0dLRFfHzvUkdQr6fOhH8iPH7qsbch00C6RuJ3b7L7liVqZxf1+Jgva9FnteP3XHQZakUloAWkqUtiTLYDEaZXJogZPHr2SB29Kivvuuw8DAwN49NFH0dvbiw0bNuDAgQOhonFdXV1QlJl1yiMjI3j44YfR29uLsrIybNy4Ea+99hrWrFkT2ucLX/gC3G43PvOZz2B0dBS33XYbDhw4wB7sS0CiNe6ZPF+IaVLVllHZMfM5rkL7nA0/VsW6sK6f0OUrwDg/mCkJZmdyADPFfplZl1UYsGeY2+XBYO9E7B0k4Jny41rXGMqrC9HTMYLerjFMTni1u2e937weP46/3InbPnQdLFZzln6+POjG+jtacOf6+jn3MWgP0tdXWxME7eEnAXrq+Hxn1/VUPDN9didqN6f3UTdbGv9ieeXC27cZJaWWeUCUZLt27YqZAn/48OGIr7/3ve/he9/7XtznE0Lg8ccfx+OPP56sIVIWmb3G3apErnM3ZdCuB0L6x/js42qiWiXh9WlS0YmElg6BmUzFiPo20IJ4BdkxmUEAGLBn3GDvuKH93vmtwaBRAp5pP3q7xtCwvGwRI0sNPViXUOFXvRH33dZWCQk16WvW5sNUQbtH1dLjogXh+uy6N3hgt8DYzGy09dwSMz3SzSLe7Prs/XKJVwJCnSk4CCS30ruUPAkkoqwRvsb91Eh5aLsZzhfiivUxa/TCugWAL9mDoiUlL0amov61XQC+QG5NeuQwBuwZpgZkRFp7svR1mzNg193eVh29SmuKCs3Mhx60631bM0aF1rZN760dHsD5oaU0Fydo+zbb7GDdH0wXN1sMZ2RJAJCb6dweqR1EbUK7CKPI6Cd5sQL6eNslzNsNgIiyj38w5Re0nf4euKwNc88ZTHC+QGRKAjOdgmKRErAHayaQ6TFgz7CikryU1Jry+7PjDTj7QJ+KQjNZTQ/aw2fQ/aqWyjS7GrwuVqCrB2yTqvZhrsJ8gbrOFyy+E4ueYZAdf+bzFyp2F/wF2YSWwhZKswzOlKsAHIj8fQeC91vDtuvLHqZV8/7Oicj0wrPkIL2JH5Ak6SpMl3IBCQgDyxU560mLocDYBI6FJwTZIi2LnJ988km0tLQgLy8PW7ZswRtvvBFz35/85CcQQkTcZheYkVLi0UcfRV1dHfLz87Fjxw60t7en+mWkhN2R/IruQgCFxdnZ2kZLf5vA7W3V2LS9FevvaIm46X1Zlxy9/7jeg9wRpxp8tJQN/eupYMuYAMwduPmkdmIT7WqWvs2Tq9F6FL7guvOJgHYbV4Nt56T2/+4AMBm8b1IFpoL7T+rbVe13b+bfORGZ2uVBN3yqhISK29eWoq18IqPdVELnC2tLsXF7c3acLwQQ+9gGRFaVJyIKSvkM+3PPPYfdu3dj//792LJlC/bt24edO3fi3LlzqK6ujvoYp9OJc+fOhb4Ws4KSb33rW/irv/orPPPMM6FWLzt37sS7776bddVju9qHkv6cUgKNK8ogpcTIwCTcrmkoFgWVtUVw5NuS/v2SzenvQVsZgLbKOfeZes1aKlmhpS7p13eMrGvWZ9rn28rMLPTlADZEpnnra+6XYtubWNcoos3G6IULiYgWSQ/WN25vNkWwrptdmC6cac8XptRghlyMZU6TS+hiNKWGnmmXKCXen00nhUtbygP27373u3j44YdDvVj379+P559/Hk8//TS+9KUvRX2MEAK1tbVR75NSYt++ffjKV76Ce+65BwDw05/+FDU1NfjVr36F+++/PzUvJEX6elxJf8761lIE/BKv/ls7ptxhKWsCqFtWghs2NsBq0gryulDQPttSXLPmEDNFyIwWINMDdVeW59VNqYAH2losAFCXaKBORJQhZg3WdeGF6SKY9XxBX+qmt4ALv7DOVpuULF458/c1m35xiK3dskZKA3av14vjx49jz549oW2KomDHjh04cuRIzMdNTEygubkZqqri5ptvxp//+Z/jxhtvBAB0dHSgt7cXO3bsCO1fUlKCLVu24MiRI1kVsEspoQaS92axWBU0X1eBipoiHDvcMTfjSgLXusYwNenDpjtaoaSj3/MixFyz1lYNASXU0mU20xyUk8GK+Onvsczu0Z7N9Gr4RESUEZu2t+K2tkq0lQ2bKljXGV3jrqf0p3P9fVR6AVAWAaVU8Uit9pGepRhe0wbQls7lynniEpDSgH1wcBCBQAA1NTUR22tqanD27Nmoj1m9ejWefvpprFu3DmNjY/jOd76DW2+9Fe+88w4aGxvR29sbeo7Zz6nfN5vH44HH4wl97XIlf1Z7IYQQyC+0Ycq9uN4d+YU2XLe+FhW1xbBaFRz9j4uxC9lJYHRgEv09LtQ2lSzq+2bC7HT5srzIFP/DL7Sb60r6YgjMf2Y9HNfAkVmFF8TzZ9lSDSLKChHp8gAEFNOsvydKiykV8Aktm8MSPNb6mcmRjUyXF71t2zY88MAD2LBhA+644w788pe/RFVVFf7mb/5mwc+5d+9elJSUhG5NTU1JHPHiNK2sML5z8Pw2PHarqi/G1g+sRE1jCaxWBRNj03ANTyV8qu6LUVqqZZG2smHc1laJkWlfxM20hWbmSwFQqBir9DmbXg2es9JkNlYARQpQYNF6xOYr2tcOc2f7EFF2Ci9ky2CdliS/1OoijKtaAdppBuvZKKUz7JWVlbBYLOjr64vY3tfXF3ON+mw2mw033XQTLly4AAChx/X19aGuri7iOTds2BD1Ofbs2YPdu3eHvna5XKYJ2htXlONa5yjGXdNRZ5mEIlBZW4TGFeUoryrAwLUJTI57YLEoqKovRsGsavBTk8Zm6ycnMpwOtgh6T1ZIL26LUpgOAN5+uTO7Z9oLFO0CjdFgPbwomwoWrclmAlobNwBQZe6s2bdCC9B1IuwKpB3axakpXmQiouQKZeYxWCeiLJXSgN1ut2Pjxo04ePAg7r33XgCAqqo4ePAgdu3aZeg5AoEATp06hQ996EMAgNbWVtTW1uLgwYOhAN3lcuH111/HI488EvU5HA4HHA5ztjmzWhVs2t6Ks29eRe+VsYhU9oraIqzZWI/8wpnKp4nS2I0Wk7PZk99OLp1iFpkBQunyb7/cmb4BJZMVMz3XjVDlTPq7X2X/1myWr2jBeugCjKL9fnOhKn5eglaENgF4A/z7JVNzDU9hfGwaiiJQXl2YFZ1XaOacgcE6EWWjlFeJ3717Nx588EFs2rQJmzdvxr59++B2u0NV4x944AE0NDRg7969AIDHH38cW7duxcqVKzE6Oopvf/vbuHz5Mj796U8D0NZ9f/7zn8fXv/51rFq1KtTWrb6+PnRRINvY7Ba0bW3CdRvqMDrohpSAsywfBUX2xA+epaSiAHaHFV5P/LP72mXZt359tmgHXpe1AW1lwwmDdlPPvFuF8XXr4S3bKLsVxGjbJ6AF8lNZHLRbkPgilJRa0J7EQpxEyeIamcI7v+3B+Oj0zEa988rN9bDasvsi+FLAYJ2IslXKA/b77rsPAwMDePTRR9Hb24sNGzbgwIEDoaJxXV1dUJSZWeGRkRE8/PDD6O3tRVlZGTZu3IjXXnsNa9asCe3zhS98AW63G5/5zGcwOjqK2267DQcOHMi6HuyzOfKsqGlcXCCtKALL11Th7Ilr0XcQgM1mQUNrtJ5p2W9JpMvrpNRmIxmsZz8rZlrXzaa3/HEoWgZFNjKSMSJEsKoK/57JXMZHp/HGry9BVWf9bQY7r0yOe3HL9lYoFtOVBSIiohyQ8oAdAHbt2hUzBf7w4cMRX3/ve9/D9773vbjPJ4TA448/jscffzxZQ8wpTSvL4ZnyoePsYOhcX2ezW7DxvS2wO9Lyq88IPfXt1HBR3KDdtIzGZH7JNb+5wpagG4AQ2iy1BdmZMm7kz1QvlkhkMu0ne7VgPdrfpwTGhqdwrWssZy+EUwwWBOvGsIgXEaVW7kZtS5gQAqvW1aKupRTdF0cwMTYNi1UrUle7rNTwOvdsFrHG3ToTtJ8aUENB/Nsvd5pzlt0n41fN1gMbBuu5w2g3gGwtpu6XiZd5CJG9GQSUs6YnfRjsnUi435WLwwzYlwq70I7R4Z9ngWCtkWy8oEpEpseAPYcVOfNw/U11iXdMk8uDbqy/owUSKiBTX6U+lB7vHwxtaysDTg0XQULF+jtaogbtlwfd8KkybeOcQ0Jru5EfZS27ni4xzcAmp0gYq1uQzddovFKrBh/tNeoXoXzZ/AIpF01NGjsGTGVx5xWaB4fQlifNpkCrQ5LNtUaIyLQYsFNahAfB6eyDGu17tJU3AGtL8crp0ag9232qxMbtzZnt1+qTgFS1k4PwWkYBAB5exc85PglYEgTrqszu37tHahkC9rALUaF/Abh5EYrMx2o1VkzOsgQy15Y8BdGDdWDm8yxP0Xpdm4wc68z0EHKCKGnJ9BBoiWLATimnB+sZD4KDQunya0sBAAKRB+B0X1SIyS+1mwIt0JHgOrlcFVoGEWeWPReKC05LrXWbPVhgTgLwqdrfOZEJFZU4kF9ow5TbF3snkRudVygBW5Sst3BCaMdqk9UakWOdCBw9kelhZD1l3SoAnQzaZ9MvxOvFZf2S2XIpwICdUspswbouImgXs9rnSW/mxmkT2gefHqD7pZZKzEA997nVmdZuctbBzpNDB0AVWuCe1fn9tFQIIdB6QxXePXY15j6KItC0ojyNo6KMUISBZUtS288k7Sn1YH34xY5MDyXrOV0u2G/bCAbtYfR6DuGswW2TKs9dk4gBO6WMWYN1XURhuij3pZWAFqzpk/36SYEC7QPRzQ++nKenhest3gS037mX1dOJMqmhtQzTkz5cendgTucVIbR6MR1nBlDfWoaS8nwIIwUkKTsZqTViEnKsE3JyAn6XCwAwFGjM8Iiy3NFuOHGcQbvOJrQlIFFJoDC4PITnL0nBgJ1SatP2VtzWVom2smFTBes604wpT4leKVw/Oyww57o4SgE/mCJOZCJCCKxcW4PaphJ0XxzG6PAU3GPTCAQkpARcI1MYH51C96UR1DQ60balkT3Zc5Ffai04jexnEurJdriODjFYT4KhQCNwtBvlznZYtt6U6eFkniPOEhH93NUmtEkHWjQeUYgyTYH2oRZvXZwitH2IiCgjikrysPqmOqgBqfVlD6PPuvd1u3D2xLUMjI5Szie14p+zlyzpZHDpEuMTynUKEi8RETxvTSYG7ESZZhGxTwB0UjIfhogowwZ7JzAxNh33I7u7YwSeqThF6ih7TaozbTj1PwL93wCC9TmIcpzROJzxetIwYCfKNMMfaPzkoyxlE0Be8MYLT5TF+q6MJV7CLIH+nvG0jIfSTIW2PG062GYzILVlTJMBLZgnWgqM/KlLFkxOJp46EWVaQALCwLUzlVfuKctYBZA/K7qxK9rfMivIUhby+9SECVFCAH6fifp6UfL5cqhzB9F86V2MLIifFs/3SNJwhp0o0wKIvy5Ox8IdlE0smAnWhZi5ATNdEaId563BdW+WNI2TaB7yC22GOnvlF9rj70RElM2mg1fco5276rPrDNiThgE7kRlMxfjg07/2sJANZRlH8PASq4KsgNayMLS/AIoVLZDPE0ChBShSmAdGptLQWpbw2qrVpqCqoTg9AyIiygQVkZlyel0HGVwm4mYKXTIxYCcygwC0D7fZWZT6ByJn1ymbCAR7yRusIJsvtOBdhM3I68+Tz6CdzKOoJA8Ny8vi7rN6fR0sbOtGRLlOP3d1B7SJpWmp1XiYYrCebDwNIjILFTMpRgLajDo/8ygbzaeCrAWxexvrvVzzFO0kgMgE1txcD7vdgsvnhyLau9nsFly3vhYNrfEDeiKinKIXYKSUYcBOlGkKtHTg8BlJvwQ8DFAoSxk5butr3GzBoDzWbLyePm/B3AwUogwQisCqdbVoub4KA9fG4fcGkFdgQ2VtERTOrBPlNL/LBWVyAkAnRElLpodDSwQDdqJY9POuhcTNVszMDvoTfI/CKGt9LdDW8k5JLXhPAznWmZbvk4t40J5lPhVkE6XO6xTBK/hkKja7BfXNpZkeBhGlyVCgETjajXJnOyxbb4IcY9BO6cGAnWg2R3BtrRIMIqTU1pB7DAQLdqE9Xg/WhaL9Ox2jBUx+jMJc+uPzBTCR+oJzcqwTcnIC6sn21H6jHKSsWwVeaY/Co2oXnaLNnsvg37RXApYEM+zhjyHKIlJKSAkoitE1IkRkdkOBRuDFDpQDsGy9KdPDoSWCATtRuAJl7qygEIAd2kxgvKqXdqGttQ1/nP5vvgDErOJxFmjBSix60G4TaSk6p55sx/CLHSn/PrnG6XLBfttGMGifJQCtYGJ+sH2bHnALMVNMEdBm4q0GgvV4mSpEJjI+OoXOc4Pou+KCqkrY86xoWlGOZasqYLOzXyFRtosM2pllR6nHgJ1Ip/d+jtWGSpHa7Hm0mXYB7b54HLMCb6Mziyk+v5NjnQgcPYHhFzu0gxDNT1h6HM0SgFYszoqZi1P+Wd0QfMH3FWK8F/QMF6Is0N/jwtuvdQGYuUblnfbj4jv9uNo5gs3vWw5Hvi2DIySiZPG7XMDREwzaKeVYHYVIZ08QOIe3oZot1vaF7heOsQplOz+0C10eGb1w3KQ683euRzn6vz6Dy1GIMsw77cfJI1dCrYhnm5704fQbPekf2CJcHnTDp0pIqID0Zno4ZJB+Id7vcmV6KDlrKNAI19GhTA+DlggG7EQ6i4HiV4qI3rLK6DspfD+/gdl1gJWxKfepmOnd6of23vBJYCKg1X8gygI9HSMRbd5mkxIY6puAe9yTxlEtnB6sb9zejNvXlqKtfAJOf3ZdcFiK9Jo0fpcLrqNDzJwjygEM2Il0iylqtZCHqtACk1jfVy/MFa1YHVEu8kktaJ9UtUCdnQ0piwz3Txjab2TAneKRLB6D9eykB+veV48zWCfKIQzYiQDtnWBotjtGxXafgdlyIeYG31PBVODZQbv+9RQjFiKibGD4mq/Jr8EyWM9ODNaJchcDdiJAW1tu5GwrVvxsZLbcF2XGUEKrPO+RgBp8vF5ka0JNeTp8eOocEREtXGlFQfQlU7OUVOSnfjCLtGl7K25vq2awnmXUk+0M1tPM73JBTk5AjnVmeiiUwxiwExkVq5KQbjIswJ5dOCuA2LPlej/qCRUYD9486eu9zqvxtGgKeDShJa9heVnc+4UASsrzUVxq/oCdiBLTC8+pJ9sBgEE7pQxPsYgA48Fxogz1SRWYDGiz7XrhLHdgpue0SejBOq/G06I4BFCsAEUW7VasJG5vSJSj8gvtWLOxXvti1ttACMBqs2DtFn7WEuWSoUAjhl/sQODoiUwPhXIY+7ATAWG9oA3sl4he5drkCxXVk+3svU4LV6AAFkTWbhACsEPruGCyi1RE6dC4vBx5BTZ0nBnAyMAkAEBRBOqaS7F8TRXyC+0ZHiERJdtQoBF4sQPlAHuyU0owYCcCtNjaI4G8OEF7tDR1AW39u4KZiu4mj1P0/qwM1pNLTk4A6FwaB2q7mBus64QALFLbxxvnopUVgE2Zee/4Zfz9ibJEZW0xKmuL4fX4EfCrsDussFiZ0EiU6/wuF3D0BIN2SjoeQSgl9CqzEiogvZkejjHeYEup2X101eD22cGEQwBFwRRgm9AClCILkM+31VKip8Ppa9iWBLuBbJR4++QrQIFFC9otweBffz/x7UM5wu6wIr/QzmCdaAnQ17MTpQJn2CnpsroljC+47twKbaZQSi3FfTa7ABwxTsKs0AIPv5wpKMeJw5y25NLhFAMtDGPtkidmjjz6DH1opl5qqfYTSUpT0d+iJs96ISIiIoqFATsllR6sb9reitvaKtFWNpw9wXo4PxA3yo633l0PVmzBr/XUYA+j9lw3vJSC9oXQl5BES6UHgtulto+RehGxOIIZL/r3UYPp9ky5JyIioizDPC1KmsuDbgDI/mA9EZvBKthCzNzsgtWzc5xeD2BJ9GT1J2hxKINdEmazxAnWw1kX8V4pVCKDdUDLCHAILlchIiKirMOzF0qq9Xe05HawDsRO9Y37GH3GL+mjIRPR17B5Xz2e20G7V40feAuh7TNnu4HnjpdOn4gjWAAyVjE8K4xfcCMiIiIyAQbsRPO1mKzaxcwcUlbQg/acLkLnB+AJBuThM+36/3vU6LUfZhd0jEbKufvZhDZzXqzMFHqM9laaPbMejZGCeUREREQmwTXsRPPlS9D+LZ48MbOmfTFrdIkyzSMBfwCwK1obNwAIAPAGtH+jCQAIyNiz4MDc2Xm937t+n4DW690e7PWuf694zxn+3Arfd0RERJQ9OMNOtBALLSAngim7ecEZQ072UTYLQGt5OBG8Tamxg3XddJSZ+XAedaaqe15Yv/fwYFz//4Kw9xDjcCIiIspBDNiJFsIrtcBDyplbIuEtrPTAnUWwaKkJIHJmXKcG31P6xTBDFeUxsyZdBp8jYTG8hQ+d4nvyySfR0tKCvLw8bNmyBW+88UbMfZ966incfvvtKCsrQ1lZGXbs2DFn/0996lMQQkTc7r777lS/DCIiIlNhtEC0UF6pzSp6gu2iAgYDd50Q2pp2vgtpqdGD9okAMBkA3AHtvRTedm0hFeUTZb7EKoZHi/bcc89h9+7d+OpXv4o333wT69evx86dO9Hf3x91/8OHD+P3fu/3cOjQIRw5cgRNTU2466670NMTWaz07rvvxrVr10K3f/iHf0jHyyHKKnKsE3JyAn6XK9NDWfKWRKcYSjuGCkSLITHTY92tauvSpTQ+8y4lC9HR0qVCm/GOlkZvtKJ8OF9YbYhoxfCmDaTs04J897vfxcMPP4yHHnoIa9aswf79+1FQUICnn3466v4/+9nP8N//+3/Hhg0bcP311+NHP/oRVFXFwYMHI/ZzOByora0N3crKytLxcoiyhh6se189DtfRoVCLUUq/aJ1iZt+IFoJF54iSaToYvNuEdjNySYzxOtFcgQVWlI9WDM+P+MXwaFG8Xi+OHz+OPXv2hLYpioIdO3bgyJEjhp5jcnISPp8P5eXlEdsPHz6M6upqlJWV4X3vex++/vWvo6KiIqnjJ8pWDNbNZyjQCBzthhPHYXU6I+5T1q0C0AlR0pKRsVH2YsBOlGz6rDugtZ+KRwhjgQnRUqMC8MuZonPR6CnuCgCHoh3RhNACea8EpiSL0aXB4OAgAoEAampqIrbX1NTg7Nmzhp7ji1/8Iurr67Fjx47Qtrvvvhsf/ehH0draiosXL+LLX/4yPvjBD+LIkSOwWCxznsPj8cDj8YS+djE9mHIYg3Xz0oN2YChiu9Plgv22jWDQTvPFgJ0oVXxSC9iljB5wyGAw4U9fRMF0LMoq06rWTWH2e0j/2qNGFm8ML+xoh5bl4lYZtJvcN77xDTz77LM4fPgw8vLyQtvvv//+0P+3tbVh3bp1WLFiBQ4fPoz3v//9c55n7969eOyxx9IyZiIzUE+2M1g3qai/k+DMO4N2mi+uYSdKFQktRV6f8Yu4L2xNbZoFjp7A8IsdPMCnGAvPJIEKLeD2I/I9pEJrIeeVc4N1nd6znZ0YUq6yshIWiwV9fX0R2/v6+lBbWxv3sd/5znfwjW98Ay+++CLWrVsXd9/ly5ejsrISFy5ciHr/nj17MDY2FrpduXJlfi+EiCiFjKxx55p3ioYz7LR0KADswcrsAtp61vAiVangk4AMaOm64RmcAWizg2lcUyvHOkPBOqVW+Bo2XklfJD04F9DewxIzfdrtYTPq0QihHeWUsMdQ0tntdmzcuBEHDx7EvffeCwChAnK7du2K+bhvfetb+LM/+zO88MIL2LRpU8Lv093djaGhIdTV1UW93+FwwOFwLOg1EBGlQ7w17rNxzTvpGLDT0mDF3Jk4iwSsCmCTWoupVPED8AdTdwW0wCHNKbp6sK63fOHseuoxaE8yibkXuCwGKjZKqe03uzgdJdXu3bvx4IMPYtOmTdi8eTP27dsHt9uNhx56CADwwAMPoKGhAXv37gUAfPOb38Sjjz6Kn//852hpaUFvby8AoKioCEVFRZiYmMBjjz2Gj33sY6itrcXFixfxhS98AStXrsTOnTsz9jqJiBYrfI178frYmUW2k+0M2gkAA3ZaCsLTYsNn4kKBO7S15ol6OC9Whmb4wvuzcq1beukH5XInD7qU2+677z4MDAzg0UcfRW9vLzZs2IADBw6ECtF1dXVBUWaWJ/zwhz+E1+vFxz/+8Yjn+epXv4qvfe1rsFgsOHnyJJ555hmMjo6ivr4ed911F5544gnOohNR1hsKNKLC0o3xt0/G3Y+F6ghIU8D+5JNP4tvf/jZ6e3uxfv16/PVf/zU2b94cdd+nnnoKP/3pT3H69GkAwMaNG/Hnf/7nEft/6lOfwjPPPBPxuJ07d+LAgQOpexGUvYykzdoxN2AXmOmRHpBZnVLLwjSZMxRoBF7sQDkAy9abIMd40E2agJx5j8YiBBDI4jdvFtm1a1fMFPjDhw9HfN3Z2Rn3ufLz8/HCCy8kaWRk1OVBN3yqhIQKSG+mh0OU0wydkwUv+lu23pT6AZFppbwaz3PPPYfdu3fjq1/9Kt58802sX78eO3fuRH9/f9T9Dx8+jN/7vd/DoUOHcOTIETQ1NeGuu+5CT09PxH533303rl27Frr9wz/8Q6pfCmUrq4gdrOuEiFxjni+AIkWbmc9XgCILUKCwTCMtyFCgEcMvdiBw9AQAsLDMQtmEVjW+WNHen/rbenZRR4Rt92f3xTaidNGD9Y3bm3F7WzXayifg9PckfiAREaVUymfYv/vd7+Lhhx8OrWPbv38/nn/+eTz99NP40pe+NGf/n/3sZxFf/+hHP8L/+T//BwcPHsQDDzwQ2u5wOBJWnyWaF/3kvzAYmM8O8i3B+9wqAwBakOHgTPtsnHlPQCDygpleAd4etk+01m8SWsE6IopLD9Y3bW/FbW2VaCsbZrBORGQSKQ3YvV4vjh8/jj179oS2KYqCHTt24MiRI4aeY3JyEj6fD+Xlkae5hw8fRnV1NcrKyvC+970PX//611FRUZHU8VOOUGX0ADyclFpBK5uIva/ens0hgCkWsKL50derRavSr6fLUwz5MS6i6e9JvSCdNayNojd441uVyBAG60RE5pTSgH1wcBCBQCBUdEZXU1ODs2fPGnqOL37xi6ivr8eOHTtC2+6++2589KMfRWtrKy5evIgvf/nL+OAHP4gjR47AYrHMeQ6PxwOPxxP62hWslE1LhFcCtji57FIG+zxjZr17LHqbKMFAgOYv5nq10Bp3cJZ9Nr0VYyz6bLtH5YU0ogW4POjG+jtaQsE6ERGZi6mrxH/jG9/As88+i8OHDyMvLy+0/f777w/9f1tbG9atW4cVK1bg8OHDeP/73z/nefbu3YvHHnssLWMmE9J7njuUuWmzQDAID86cJ5qJ1/cXYMBOSTUcFrTPtmSDeL2DQ7T3bTgptaOZL10DI8pdnF03P71V6/CLHSwmuwT4XS7g6Ale1F/CUlpCq7KyEhaLBX19fRHb+/r6Eq4//853voNvfOMbePHFF7FuXewehQCwfPlyVFZW4sKFC1Hv37NnD8bGxkK3K1euzO+FUPbzSG0ta6wgW4jEs+vhGKxTEuknXH6XSytM1zcVcVuyRensUdoxxjSP9y8RUZYKD9Yp9w0FGuE6OgS/ywU5ObF0zweWuJQG7Ha7HRs3bsTBgwdD21RVxcGDB7Ft27aYj/vWt76FJ554AgcOHMCmTZsSfp/u7m4MDQ2hrq4u6v0OhwNOpzPiRkuQT2q3WBWl9aAg1v36fVJqFaqdFu1fBwMFWrzwg3Kg42zk7eiJpXmQtsJgsA6txRsRUQ6TY52QkxPajCsMtgWjrKefH3hfPc6gfYlKeUr87t278eCDD2LTpk3YvHkz9u3bB7fbHaoa/8ADD6ChoQF79+4FAHzzm9/Eo48+ip///OdoaWlBb28vAKCoqAhFRUWYmJjAY489ho997GOora3FxYsX8YUvfAErV67Ezp07U/1yKNvZDbR4A2Kn4IpZ6blKsIe7VQCTcWbwiQwYCjQCR7sBDEVsd26tWHrpcALGg3VAuxhHRJSj9GDd++pxuI4OMVhfYvTzAyeOw37bRgDsLLOUpDxgv++++zAwMIBHH30Uvb292LBhAw4cOBAqRNfV1QVFmZno/+EPfwiv14uPf/zjEc/z1a9+FV/72tdgsVhw8uRJPPPMMxgdHUV9fT3uuusuPPHEE3A4HKl+OUnn9fgxeG0cAb+K/CI7KqqLIBTO2KaE0fXp+gy7/m/4NhEl4BcCUCSQx+rxtHhRT8KOdsO5FVAmJ7BkDtISideu66ZZBJKIcheDdQJmgvZyZzvbwS4xaSk6t2vXLuzatSvqfYcPH474urOzM+5z5efn44UXXkjSyDJHDag493Yvui8OR2RgO/KtWLOxHlX12ZW2r1eZlVAB6c30cKKbzwn9hKq1eLOGVZeb24BgBqvHUwot2SvrXqllsMQK2qUE/JKz60SU89ST7QzWaUbfFFCTn+lRUJqkdA07RSelxMmj3bhyYXjOcmnPlB8nXu3CwNXxzAxuAS4PuuFTJSRU3L62FG3lE+asMiuhrXNNtEYd0FLnfVJLc59UjaXnChE/qCdahCW5hk3vox7tPav3X59msE5ERES5iwF7BowMuNHfE78X/NkTVyHjBZYmoQfrG7c3mztY13kTpNjqKe92oRWUYwBOJrLkgnYJwK0CfkQG7VJq29ysG0FElK38Hh/Grgxi7PIAvBPTmR4OkWmZug97ruq5NBKxLDqaKbcPIwOTKK8uTN/A5inrgnVAmzW3qFq7qHjrY/VfUIECjKta2m2iNfBSaj3fiVJoyaXHS2gtGQUAS/D9F+DSEyKibBXw+dHzxgWMXOiFVGc+zJ2NFWjcdh3sRXkZHB2R+XCGPQPcE964wbpuym3SteBhNm1vxe1t1dkRrOumJTAZmDtrN5senOvp8fHoM34mCyL0fq16CxgzkFJioncUQ+euYvhiL/zT5v87Nxt9pl092Z7poaSPhHbhzM9gnYgoW6n+AC6+8DaG269FBOsA4OoZwvl/PQ6v25Oh0WUHvf0rLR2cYc8Am81YnrXVxuspKeOHViDOyM/YIrRU+mkJ5Iu5M/OhtbRqqka7IOH9Ws1SqGb82gi6XzsHj2sqtE0oAuWr6tCweSUUK9cgEBER5aqh9muYHIgxiSAB/7QPvScuYdltNyTte+pLTMV8WoWaVCjLbql1jkk3Aa34tACgIuPFbRmwZ0BtUwmG+ibi7mOxCFTUFKVpREtYorZRQmiBPaC9WdUA4FBm3jlSasG811yzfmZsATPRO4qLL7w9J6tBqhJD567COzGN5R9YFzqgqv4ARjr6MXz+GrzuaVjz7ChfWYvylbWw2PnRRURElG0GzyTIxpQSIxf70LBlFSy2xR3r3f1j6H/nClxdg5CqhL0oD5U3NKDy+oasniBYckvj0i1PaMH67G2e4Pl+BvCsNwNql5Xg4jv98Ez7YmZkN6+uhNXgTDwtUEACIsEMu5TafqHHQKsaD2hX3UwUpOvMGKxLKdF99HzcJQjjPcNwdQ+hpKkS/mkvLhx4C9Mj7tD9PrcHPUPj6D/VhZUfvAkOJ9uZEBERZZPwDLtYpCrhc3tgKV14mDLcfg1dr55FeNEo78Q0rv72IkYu9WHl3Tdl9cV/Bu0pkh+clIs2mZcXnG7PQNDOnOsMsFgVbLyzBY58W8R2/W+jobUMK9ZUZ2BkS4yKxG3egNhvzPm8XxUADqG92R0iZe+8TAXrUkqMXxvBld+cRcfBU+g+cj4i5W1qeCIi+I5KCAyduwoA6Dz8DqZHo+/vm/Li0ktvz1n7lixSSoxfHcHQuasYudQHv8eXku9DRLnB7wvA7fJgepKfFUSJKBZjJ0DC4H7ReMYm0fWb4BrvKOd4U8MT6Hkj+2vALLnOMalmQTANPk7mrSMzyyqy99JSlissduC2D65CX7cLfd1j8PtUFBQ70Li8DM4yzhymzZQKFEapGK9/7QmmuisArMG1LAFoha+MyhMzVel1DgXwqcBU8oNO9WR7WoP1gNePSwdPwt07NnMlWwgMnu1BSXMlmt+7Bt7xxFfUISU8rilMDU9g4tpowv1cPdpsfDKNXRlE95Hz8IUVvBEWBZU3NKB+43IIxVzXOP0uF9ewEWXIlNuLi+/041rXWOgCYnFpHlpvqEJtU0mGR0dkTiXNlRi51B93ssRRUgBbgR2Tg+NQAwE4nAWw5dsNf4/Bc4nS7oGRi32o37QS1jxb/H1NjjPtSWSLUqdqNiG0eGA+cUASMGDPIMWioK65FHXNpZkeytKlQuvl7FAAa9ibVAXgUbUZ+Hxl5k0MaPuoUisy50/w/OHrYGZ/AFgFkAetmF2WklKi49en4e4b0zdE/Dt2eRBXXjuH8hW1hp7PYrPAdWUw8XIDIeC6ktyAfezKIDr+49Sc7TKgYuD0FfgmPWh+7xrTFK3hQZoocyYnvHj94EX4vYGIuGN8dBonj1zBlNuL1uurMjdAojSaHpuEd3wKFrsVBZXFcS9uV93YhJFLfXGfL7+8CO/+4ij8U8EuMgIoaa5C/aYVcBQnntQa7xlJmAUpVQn3wFjSL/xnAs8HksTI+Z2UGclPN9d0EVEmSGgBuMTMmnVPsH1UQViBORGWJiMws84lllCFyTi93u1KVr8LJwfHMXEt/oFx5GIfrIUOQ2vFSpfXQA2oBoJiCTWQvKr8Ukp0Hzkfd5/RS/2xK9tmCNPhiDLj3WM98M0K1sO1n+zDxNh0egdFlGbugTGc/9fjOPvL13HppZNof/5NvPOPRzBwpjtUmX22gopiNL93TfCcKuyO4HE/r6wQox39M8E6AEhg7PIAzv/LcXgMZOzF+t5zdzS2Wzbg+UASmPjvJotDBaIksAAoUrRe60owuFagBeqFitbSLVrwqG9zxHkLza4wGY2UxvYzqdGOPkNXJMevDKG6bVnsHQRgcdhQvrIWeaWFidenSyCvtCBik9/jg3diGqo/YGToESZ6RyPS4KOPUWAwuMbeTHiQJkov97gHw/3uuCdtQgDdF4fTNyiiNJvoG8WFfzuBycHIC9n+KS96jrbj2puXYj62bHkNbvjYFlTf2IS8skI4SgpQtqIGDVtXxa53I7UleD2vJ157XljtNHRukl+RW92Y9PMB9WQ7zwcWwpcgHT58vzRjSjwtXQJaYA5EvkH1/1cQfy2LEFrAr0BLoY/2/EbHkaV8bo+hK5LjvSNYvmMdfJMeraVLWNVWQFseUr22CUJRULKsEha7FQFvnPUGQqB8ZZ323NdG0Pd2Z2jdu1AEylbUomZ9s6HUOQCG19h7DVS3zQQ9Ha7c2Q7L1psyPRyinOYaMTLDB4wOTaZhNETpJ6XElVfPxr243n+yC+UrtIvw0TiK81F/y0rU3zKzrePgqTnnB7O+MVxXhuB1T8NemBfze1de34jh9t7YL0AAJU2VcZ8jWw0FGoEXO1AO8HxgvvQaVRZEP/fXWzlnAGfYaemKtbZcJ2LMrs8W611k9D2dvMzutBnrGsT5fzmO0c4BQ/tPXB2B6lfRuPU6XPdfNqF8VS1shY7Q/WpAxbXjl/DOs7/B4LmraLz1urjP17B5JWz5dgxf6MXFA29honc0dJ9UJYYv9OL8/zsWs9L8bEb7sVrsbLVItNQZrWMhlCy+GksUh7t/LHF7NgEMnp1fVtrk0LihSYBEx/aCymLU3tQac1y2fAcat8U/z6AlalLVAndA+1sMv3mDS2YzgDPstHQlat1gVKz3rk8aa/+QgdQaI6QqMTnogt/jg70wD3llhRBCYODdbkMpabOfa6yzH+Wr6lBQUQzFaolMQQ/+CFR/AFffuIDK6xvQsHklhs5fxfTozCyVvSgPtTe3onxFLXyTHq3HatjjZ55PIuDz49J/nEJRTQkCXj9sRXmoWFWH/PK5KXDOxgoIiwKZYF18aQvbLRItdWWVBQYKYwIVNbmVbkukS9imFQAkMD0yMa/nNdrKzUjHltoNLXCUFKD/5GVMDWvjEFYFFSvrULOhZV5V52mJmVS1yThbsM6CCu1cPYOn6wzYiRZKBt+8sZZMS2hX4+yIn1pjwnh96PxV9J7ohG9yJqjOKy9C9Y1N8w7WAQCKCF2N94xPYfDd7ri7D57VWrIIqwXlq+rgbKqArcChVZ8N/iyHzl9D3B+e1FLdh/V0dyEw+G43ylfVounW1XMO+A5nfuyTEAHYChwobWXATrTUOfJtqG0sQW/3WMyPIAGgcXl5WsdFlC5Ge6kbzV7TlTRVYuDdK3EP7YrNgsIqp6HnK2utRllrNXyTHqgBFbZ8+7zHREuUiozNpkfDlHhaugLSWEXIWPvofdrj8ehBeZRbBlNrYpFS4spr53DlN+cignUAmB6eQNcrZxb6xFCs2sfN8IVew+v2pT+A4fZrGDzbg4KKoohU1MkB1/wudgR/j8Ptvbh67GJoc8DnR/u/n4ibYmfNt2Plzg080BMRAOCGjfUocjrmbNdXUq3b1oS8guzu70wUS3FDuaHjuLOpYl7PW3l9AxI9ceX1DfM+FtsKHHAU5/MYTlmLATstXYmqQcpgazc17Ovw27RqLJ3dI4EJdSZ4D//aRCYHXTjzf17HUCoqoUuthyoAeCfm3+po4urI3AIyi1jNMHimB/5pHwBg4N1uLW0vzq+jfHkNHCUFsXcwCb/LxcqwRGlgs1uw+f0rcN36WuQXaoG5xSJQ11yKrR9YgZrGkgyPkHKNZetNKL+rFRWW+Blq6WArcKBseU3s43Cw80vZipp5Pa/DmY+WO2+M0vJN+8fZWBF7bTpF4PlAbmFKPC1dAQAeVWvNNrsavD6rPq1qAbsVgDV4v4QWyM+ne5ieHm9SUyMTuPDvJ6D6U1ABTwDF9eWhSrFWuxWJF4DONXCmGxWr60NfF9WWwnVlaEFDkqrEWNcgylfValXrEwxlqP0a6jauMHURKb1SvBPHYb9tI4BOiJKWTA+LKGdZrQpaVleiZXUlpJSGi9ERzZcoaYEc64SybhXKAeDFDu0zP4Mat62Gd2Ia7r6xOYd0i82KFXeth8U2/zCjtKUK1997CwbP9mD08gBkQEVeaSEqb2hEaXOVqY/DZsHzgdzDgJ2WNo8EVFUrDqcfA6QE/NCCeT1+9QOABOyKFrg7gvv5gjPm5o3FDbl2/BLUBAXX5i14AC+ocKL5jjWhzaWt1RhIsIY9mulRd8RJcfmqOlx7syNhobhYYwt4fVD9AfinvAl3D3j88Ht8pi9Sw4M0UWYwWKdU0z7LtaDd6XIBR7szGrRbbBasvHsDRjsHMHTuKjzjU7DYrChbXo3y6+oXdbzMKy1E49br0LiVldwXiucDBtiEdk4voC2T9UnTdm5iwE7kC/ZctGFmAaJVAmrYGnWbAPKVyPXsQmiPsQnArZr2TZ6Ib8q74JnqmIS2xq1iVR1KllVGFHgrqHKiqLYUE32j87rQIYSIOCm2Omxo2X4jOn99Wvu1GKlHoJNaxXkjlWZD318RmOgbxcjFPvinteC9fGUtCgwWv0kXHqSJiHKTHrTbb9sIJ44nLWj3Tkwj4PPDVuCA1WG89oJQFJQtr9HS48l09POBcmc7lHWrwPOBIAVAgTIzUSeEFgc4FC2z1oQZsQzYiQoV7c0bPkMihFbd3SKAKRXIi9GzXQgtUMxXtKA9C0W0V0sSe2EeVnxgfdT7hBBoed9adPzHKbj7x2Z+hvEIAWfj3OI1JU2VuO53N6H/dBdGO/ohVWMfsorVAmdjBRSLgqL6MkxcG4l78aCgqhidh9/BxNWRmfEKgcGzPXAuq0TLHWtMVcyGQTsRGXF50A2fKiGz9YrzEpTMoH308gD63uoMtT2DEChtrULdTa1wOM1ft4USGwo0Ai92oBxaHYQlT0A77wfmnvcDQJ4CSIM1qtKIReeyjGtkCu/8tgev/vt5/Obfz+PMm1cx4Zp/ES8Kcoi5wbpOv+KWn+BtIoQW2Gfpu8lin0egaSTrUwDOZZVxd7E6bFj5oZuw4u4NKF9Zi7yyBP2KpUTVjdFPSPLLi9D83jW47nc3GS5EV922LBRgV69dlnCmXw1ILagPjiX8X9eVQXT95qyxb5xGQ4FGuI4OwfvqcRaeIaI59GB90/ZW3N5WjbayYTj9PZkeFhkgSlogCopgdS48w2vgnSvo/PXpmWAdAKTEaEc/zv/L8bidU4iylj3GBJxOSi02MJksDTGWpo4zAzj60kVc7RzB5LgX7nEvui8O47UDF9B9cTjTw8tONhG/UjygBe2J9pFSC9qzkL04H3llhcZ2NnTBUQRbsyTYSwgU15Vh2W3XY/U9m1Bxfb3+8PCdAAANm1eiqLYs5nNNDrrQ/vxxQ+OzOGyoWd8c+trZUI76zSsjvl/4OCqvb8D0cJwq8hIYvdQf6jNvJnrQrp5sZ9BORHNs2t6K29oqGawvMZ7xKfS8cSH6nVJrd3p5oW1ciczMmuC8XwhAMd8kHFPiM8Tr8cM1MgUBAWdZHmyOyF+Fe9yDvitj8HkDyCuww2ZX0H6qD0Bk9rD+/+8ev4oCpwPlVQYDL9ICskTVRhdTSMgqtCt5+gR2ANq6GL+50myEEKjd0ILOQ+8k5fla7liDvHm2QBNCoHHrdShZVomBd3swOTCmBfQN5ai6oTHuOnEpJS6//K7honl1N7fOKRBVfWMTimpLMXimJzSTXlhbiqobGjDaMZA4bV8Ao539qFnXHHufDJmdDifHmB5PtNRdHnRj/R0toWCdlpahs1fjN2uRwNTgOCaHxlFQUZzOoRGlltHTepPNwTFgTzIpJVzDU+jpHIVnyge7w4q65hKUVRVCCAGvx49zb/Wit2s0dP4vFIG65hKsXl8HRRE4/dtu9F1xAcHChUZqaQkBXD43yIB9PpIZNwsBhLdEyxNaRfnwdnEWqRW58KrAtLmC9tKWajRs8aLnjXZtwwKH17jtOpS2Vi/osUIIOBsq4GyowNTwBMavjQCqRMAXiNsyyd03anh2u2pNY0RrOJ1UJfLLi7Dstuvn3DdooC+9EAIBj8/QGDIhK9awWTHThQEAVKld4DJh8ReibBYerENqXTI4u750SFXFWNeAoeP8FAN2yjUqACETT8iZrKwHA/YkCgRUnDp6Bf094+F1qdDTMYLSygKs3dyIE69cxuSEJ3KWXJW42jmK0UE3hFDgdgWLgM2jW5iUwMDVcfaCnS+/NJbyHo8MtoHID6s4qafHRytoYVeAQOoKWiy05UvVmkY4mypw4cBb8E0soC6CAMavDhtKh4/FN+lB58vvwN07FnpOSC1tv/mONSiMMtM+OTRhqK17YU0JGrasCn0tpcTwhV4MvtsdWsNXWF2CqhsbUdJcFXof2QvzEj65VCVshXlGX2bGDIeCdphrlt0htOqsEV0YgtutApg02ZGTKEtdHoxcl9xWPsFgfQlRAyo6fn3a8EVunk/mDr/LBWVyAku+CK1PAtY4+e5SahmxJpsrMFmGfnZ799hV9PeMA5hTlwqjQ5M4drgD7lnBeogEJsd9M8H6Ap16vRvjYyxCZ5jXwFW2WKSc+QVbgqnvevG5eGkRUs4UvUgyvRCN/baNcG6tQIVlfv3O/dPehQXrACAB7/jC//b8Hh/an38T7j5XxHMCgHdiChf+/URkcZwgIYShD1ZrWE9YqUpcPvwOrrx6NuI53QNj6Dz0DnreuAAZ/B2Wr6xN+PxCEShbvrDMgnTJZL/euKzQgnVg7gWuUKsVk500Cmj1L2zmW+dGlMj6O1pw5/q5mUaU+/pOXsZ4t/E2rkV1sWvHUPZgEdowvuDS1Gjn6fq2afNNEvBUI0mm3F5cuzwaewcJTE/6Un7Fpu/KGI6+dBFDfXMDG4rCLwFP8I0ZrThALPr94e9pETarnqigRQoL1C0maB9u713U9w4Piudr6NxVeCemY3yIaml8vSc65txVXG/shKI47MRj8GwPRjsHon4fABh8txtjl7X77UV5qLqxKe5z16xvgTVv4a99SbMr8d9vIhgYm0W+AIoULaMmXwGKLNpSFx5Nicikpkbc6D/dhf5TXcYeEOz2Yi8yf+YYGcOgPcykGhm0h5/TT6qmS4cHeIqRNH1XXIl3SgMptdnDt37TBb8vkOnhZAePBNwB7c2rBm9GZt09MnZLuAxbSNA+dmUQw+3XFvV9y5bXLPixQ4nWikttjP5pb8TmvNJCFNWVxv09WOxWlK3QxialxMA7V+J/L4GIfepvWYGadc0QSthFGQDCoqBu4/KIqvM0T0aWpJilYmuhEr3CrCV4nxnGSEQU5HV70P7vJ3DuV2/g6m8vQhoszppXUoBl75lb04WyGzvHhJmSwIQKTAXrSrkDgFvV0uFNiGvYk8TnCyQsJJ1OAb+Ka11jaFpRnumhZIcAtDevPsWqn3xHCyQW+0vW17ynmLZGqVML2nE87pr28Wsj6Dh4auEZIELAXpSH0paqhQ4XvkkDy0Ek4Jv0zpnNbn7vGrT/2wl4x2etyxOAYlHQuqMNFpv2ceef8moz+Qm+j7vfFaoJIYRA3cblqFrbhLHLA/BP+2DLt6OkpSr0vJTj9PT3aJ8J+oe/QwQ/R4iIMsvv8eHCv70Jr3t+Sy2FRcGq39nIY1uOYueYMBIpqyeVbHw3Jklegc00wToArc3UgDtlAfvlQTd8qoSEGqoym1OmVC3NFVFm28NPzhcqTZWv9aDd6nQCiL1u7epvLy4sWA/+LBzOfKy4az0UqyXxY2JQbFZDldYt9rkfW7YCB1b/l00YOncVg+d64HN7oNisKF9Rg8o1jXAU54f2lfN5o8rI37/VYUPFddm99tN0hWcC0DooxJtlV9NzkSuuRHUnhNCOqGIe1UKJKHspCLZuDdZR8Uvt5D/e+z+8/oWA9rm2iHav8YrMDp7pgdc9Pb/PIwEU1ZQwWM9xWdE5hiLwHZkktU0lOHviGqSa2jO15WuqIFWJjrOD8XdM4TmjHqxv3N6M29eW5maVWRVaakxejPWz4W0A4gnfRw8U/TDVFb3pUTemhsYN71++ug42hx0e1yQUmwUlzVVwNlTMpIsvUPmKGgyc6Y77h1tQ5Yy5ps5it6K6bRmq25bF/T62fAes+Xb4p+JfaMovL4JQcivHeSjQCBzthhPHYb9tI0wRtHtVoCDOhR4pzfF+MbL8Rei9ONMxICLKmPDOFvr5gEVo2ydjpNUq0CYC9I8RIbQLfAWKFrDPsxtGoiy6oXNX5/9ZJIHKNSYtUEpJZ9rOMTRHbp2NZpDNbsHKtfGrRC9bVY5Vbdo62oUse25ZXYkVN1ajotZYT8zSioL5f5MEcj5Yt0K7Ym4Pnnhb4qxz0A/SRmdsJbR171OZniqMZCgVPai6bRmatq1G3cblaNm+FstuuwElTZWLDtYB7SRBscT/SKrd0LLo7yMUgcobEreey9WTlvA1bAAyv4bNDy1oB+YWftTbq3hMEAEb7rGZ0lEQUabZxNzOFuHFZsOD8nD69vB99X8t0ApazpNer0bLokNEvZr5HNt15avq4GysmPfjKPvoF3f8LhcCR09k/lyA4uIMexK1rK6EEAIXT/chEJChmRahCLSsrsTKG6shFIGKmiJ0XRjCyIAbgEBpZT6G+9zwevxRYz8hgJvf24yKGi1QL6sqQGGxHe4Jb8yTQ8UiUN9SmtTXl9PBuhVAnqIVt9J/CXkGrmeFB+3hV2H0rz0S8OnBSNJHnRQWh83Qfg5nPuo3rUjZOBzF+Vhx1wZc+o+TCHj9kTOVQqDp1tVJO5GoXrsM41dH4O4djXp/aUuV1s4tR5kuHW5aAgE1mF4a3CahpYqmaflIQn4J2BD7aqtem8IkwyWiFHHEybDTzwnsIvJCo54CH+vzYxFLakRJCyxbgXJoM6Y6xWaBarD4sL0oD1Vrm1B5fQN7ry8hoay7rTDXUjmagwF7EgmhBeaNy8swcHUc01M+2O1WVDc6YbPPpHw6y/OxdnPk7N30pA8nj17B6OBk8MkASKCgyI62rY0oKS+I+D7rti3Dbw9dQsCvRgT5+ufsum1NsNoWvp44lk3bW3FbWyXayoZzJ1i3QGvPpFvIwUrFTKABaAfcaVX7PRYoMzP1+myiiapQ5pcXweHMh8c1FXc/NaDC1T2U0qvvhTUluPG+WzFyqQ/jV0cgVYmCymKUr6qDbREt42ZTLApW3LUeA6e7MHCmJ5Qer7dwWwonLZFBuwnS4Xxhqe9mTCv3Su2kO96Jusdc2TNElGQKtAv78QihXdwLD9itBo8nVrGgJUDhQTte7MBQoBFlK2owdO5a3CzA/PIitGy/Efbi/Jw/5lF0plwqR3MwYE8Bq82CuubSeT0mr8CGze9bjvHRaQz3T0CqgLM8D2VVhVE/RItL87D1AyvRcWYA1y6PQg2una+sL8by66tQkoJ0+JyVNyu1bT70lN1JNXgghxZoBBAM1MP2FQKwSsCqaAdkPxZcaCaZhBCovXk5Lh9+J+5+PrcHl146iaZbV6NideoKrylWCyquq095cTfFoqBmfQuq25rhm/JACAFrvn3JnbT4XS7g6AlzBO26zL8t5tL7sxaE9Y0Pbw3iWXjhKCLKEgs9PMSbXU+RqjVNGG7vhQzE/lyq27QCDifPF5c6PWgvd7abI+uO5mDAvggBv4rerjF0dwzDM+WH3WFBfUsZ6ltKFzy7XVyah+LS6EW1ZisosuPGWxpww8118HkDsNossFhZlmBeFGiz3/EkKi6nXw1XMVPJOk9E7y+tf22DljIngym/GVyjK1UJxaKgqL4ME1dHEu5/5cg5FDdWwF7oSMPoUk8oAvZCY++5xfJNeTHROwqpqsgvL0J+WVFavm8sTIebpwC0vq02EZwxk0AgmBnAyXWi3Kci8TlBtNatARn9nCCcEICavA+SvJICLP/AOnQcPBWZGi+0/zS9ZzWcDWz9S5QNGLAvkGfaj2OHO+B2zRT1mJ70wTVyDZ1nB7FpeysKipKXwhuPYlHgyGegviBGfmyxKsLrs+vR0tdsIvGBWf/XDi3FLgPF6CYHXOg4dBo+t2deV/+Hz19F7U2tKRxZbgn4/Og+ch4jl/oj0hMLqp1Y9p7rkVdamLGxMR1unsy2tp6I0kdCy46zxgnahZgppKnzyZlCdVGfV85k5yVRcV2ZtszsQh/Ge0cAfZnZdfVJXWZGRKnFKG+BTh7pwuR49Aqcnmkf3nylc379nikzjPyKov0e411hT3QVfTYRbB2X/JIDcU2PTeLCgRMzlWTnUe1+ctB4G7ilTvUHcPHA2xi51DfnZzw54ML5fz0Oz9hkhkan0SvHe189Djk5wWqxRESxeKJ0tdDJ4NKY2ctj1DiP079O0UV7i82Kyhsa0Lp9LVrf34aa9S0M1omyDGfYF8A1MoWRgdgn2FICk+NeDPZOoKrOWAs2ypAAAFXOf31ZeCuWAmXe/VPn0KvKTqXvIk/fyctQA/OvSAtg4ev4sljAF8BYZz88E9Ow2K0oba6K2RM+3PDFPkwOuqLfKbWA/urxS2h939okj3h+uIaNiMgAFYBb1erfhJ9Fy+DymOkYB1WP1FLeHSLyGBqAFswnYXZdWbcKTpdrTk/22cLbv2WDeK+FaClgwL4Ag9fGI2oNRSMEMHB1nAF7NvDIyCrx4RKtVdNbsSiYWbNmZI1btOdRgFRV27JsvSmieqwaUDEaZcbXqOL6pbXubfBsD67+9gJUvxpaInH1jQsoW16DpveshmKNnR4xdDZBNwUJjHUNwD/thTWPsx5EpJFSYmx4Cr2XR+H1BuDIt6G+pRTFJempuUFx6EUoQ1Xjg4VkE9G7YYS3r0zSxLq2lKkT9ts2wonjMYP2Cks3Kj7/PghrdoQA0u8H9v2aQXsaDJupcwxFyI53q8kE4lTcDKcGWIUoK/gkIIJXvcMJEYyfDRSYsYX1XJXB54zXsznac6Rocl2UtECOdUJZtyoUtPdOVUOqC/uGitWS0z3KZxs6fxXdR87PbAi7yDHS0Qe/14flO9bFrC6fqF2e9pyAd2KaAXsmCWhZLnq/ZBXaOvUFtFhaqp588kl8+9vfRm9vL9avX4+//uu/xubNm2Pu/4tf/AJ/+qd/is7OTqxatQrf/OY38aEPfSh0v5QSX/3qV/HUU09hdHQU73nPe/DDH/4Qq1atSsfLySi/L4C3X+vCUJ87dCgSAC6fG0Rdcwlu3NQAxcJVjRmnQsvSm68UtXbVg3ar0wlgCBWWyKBdD9aPFn8MULIkBFAD2Pp5MGhPsaFAIyos3ebsHEMM2BeiyOlIODEpJVDk5FXwrKGfmOtrySUAv6pVkLcbCLpn7+KRM1WkjQbtKQwM9IO4ni4XeLUXCdNE5jyJgFAEWt/fBot9aXx0qAEVV49djL2DBMa7h+HuG0NRbWnUXRSbAtWf+Ows3iw9pZgCoHBWe0dFat0e7EKbSWPcHtdzzz2H3bt3Y//+/diyZQv27duHnTt34ty5c6iurp6z/2uvvYbf+73fw969e/E7v/M7+PnPf457770Xb775Jtau1ZaHfOtb38Jf/dVf4ZlnnkFrayv+9E//FDt37sS7776LvLzcPb5KKfH2a1cw1O8Ofh3cHrz/2uUxWCwK1mxqyMwAydTCe7IPv9gR2q4H6+669+KV18chRHYcc6QMADd+jEF7GrBzjHktjbPuJKtudML6pgK/L/YMuhBAfUtp+gZFi6dXfw5ndAJj9p+ChLbGzR6sAp9ohl6flU+h8HS5MhyH89+64eqPXjhx7oMFKlfXo3JNI/JKcr9nq5QS4z3D6D3RgYAnQZ6jEBhuvxYzYC9tqcbg2atxL444nPlwLIGfq2kVzArWw/9fkdpa1Qx0ccgm3/3ud/Hwww/joYceAgDs378fzz//PJ5++ml86UtfmrP/X/7lX+Luu+/G//pf/wsA8MQTT+Cll17C97//fezfvx9SSuzbtw9f+cpXcM899wAAfvrTn6Kmpga/+tWvcP/996fvxaWZa3gKQ30TcffpvjSC5WuqkVdgS9OoKJvoQXvlulVwvnocrqNDcG6tgLvuvXjyqAO/+dU5TA9PQaoS9kI7nLVFpm0L7FMlgGUM2tOEnWPMiQH7AuhXtk8euRJzn9Ub6mDP44836/nk3FT5WPvNJqHNtHuCRe0cArArM+vbw6dNFlu0ziA9aLe952Z4vccNP65uQym2/o+m4FcGUrzTpOM3+Ul/TjWgouPXpzHePWTsAVLCOzEd8+6qGxoxdO5q3GSGmnXNMVPq021JpMMpCGbAIFhwEvFbNNkAeMBe6zF4vV4cP34ce/bsCW1TFAU7duzAkSNHoj7myJEj2L17d8S2nTt34le/+hUAoKOjA729vdixY0fo/pKSEmzZsgVHjhyJGrB7PB54PDMXIV2uGMUeTe5a15ihBKi+7jE0X1eZnkFR1pm9pt37kc/hOy8ALz11FF63L/SRJyUweHEYN9xcj4bWskwOOabjh7sALEPblvfCufXthEX1aHFYhNZ8GFEuUG1TCSxWBeff7o3oxZ5faMPKtTWoay7N3OAoefSgOy9OMOUxsP5cQqsc6w1os+5KcJs//WtkRUkLho79BtOjPmP7Wy2wb7oF3o//QYpHNj+F3YdQcTT5V9p73mg3HqwDgACscVrkOEoK0LqjDR0HT0OqYanVwTPymg0tKF9Vt7hBJ0nOp8MJaLPltrBoyEhkJKW2PGaBdR9y3eDgIAKBAGpqaiK219TU4OzZs1Ef09vbG3X/3t7e0P36tlj7zLZ371489thjC3oNZuLzBhIeUoQAfJ4ULYSm7GKB9vkkAAQii9+JkhaIEsD78dvxl4cEXtj/OvzBv5vwjz01IPHOb3tgtSmoaSxJ6/CNWFldhOOHu/ADLMN//8jn4MRfY+g3mR4VUfqkJWDP1UI0VXXFqKwtwsTYNKan/LA7LHCW5c97pszt8mB0SGsTV1ZZgIJiRyqGSwvlDZZxdYiZk3v9X4+cm0Yfj4pgy5fMnvhf/Mf2UBGjRKQ/gL8+04Dujx5HRU0hbtu5Apveuww2e4bXvxV/POnpcf5pL4bPX5vfgyRQtrwm7i7Ohgqs+cQ2DJ+/Clf3MKSqoqDSiYrV9cgvL1rEiJMvp9PhCpSZZS7zzWgwRwIExbFnz56IWXuXy4WmpqY4jzCnvHwrghVQYpIScDAdfmkT0D7TLOEXIBXtwuKU1ibOZW3AqeEivHJqBK/802n4p+Nf5Gk/1YfqBqdpMr7C2RQREbS34q9TkmVHZEYpD9hzvRCNEALFpfkoLp3/Y6fcXpx+o3tOT/eKmiLcuLkBefk8GJuGNxiYWxEM1lVjLVyMCi92N+sK+byfxx680q6vi/fNzQDofv5tQ/GHCuBC2Qqc9zoBrxeTE178ww+O4Rc/eQuNN9dDyeCaNwmJP/kfyQ3aXT3D86ueL4D8siI4GysS7mrLt6NmfQtq1rcsfIBpkpNBuy2Y2RLtRDTRyakQALt+xFRZWQmLxYK+vr6I7X19faitjd5Rora2Nu7++r99fX2oq6uL2GfDhg1Rn9PhcMDhyP4L3vUtZeg4Oxh3H6EI1DaZbyaUFsACbYmO3p0iyjF7DgGtUKb+0RVRfwNAgYIJTwVODRbhldOjOH64CxO98esiAMDkuBfjo9NwlpkvEG6uLMTlQTeOHb7MoJ2WnJSfbYcXolmzZg3279+PgoICPP3001H3Dy9Ec8MNN+CJJ57AzTffjO9///sAMKcQzbp16/DTn/4UV69eDa19ywaeKR9eP3gJo4OTc+4b7p/AGwcvwZuo2BWlnx/awTTWr0Zfq16kAMWKdkCNV2XeDm2/PDETbBdYtMfP592pH7zzxExfWIuYGUvYc6n+AGRARcnaBhRfVwOhxB5fe9kK/OuKu+ds90/60f16NyoVBSurizJyExD43pOncLT4Y6j4/PtQYemexw8sOtU/v6Asv6IYy+9aH/dnmK2GAo1wHR2CerI900NJDtsCf0dSajNWzD6OyW63Y+PGjTh48GBom6qqOHjwILZt2xb1Mdu2bYvYHwBeeuml0P6tra2ora2N2MflcuH111+P+Zy5otDpSLiWeMWaqsxnOdHi6DPkhZaZlpL6MbsweA6hn0fM/vzS20/GuAApIeCDB6+eduHky12wKULrfGOAd9q8557NlYWwKwqOHe7CD153wHPv/0Dre8xTV4coVVIasOuFaMKLxhgpRBO+P6AVotH3T1SIJlt0nBmAz+OPunRSSmB6yofL5+exjpYyxyaCB11FO9DahRYwi2DwrB+Aw4+rFmjb8oInXELM3ICZA7nRGCNPmZk9jFbpOlQFG1BKbPjowHfxoVNfxe+cewK/27EX1/3x++Yc+CWAA60fgBqjV6vfp+K3hy5hZMBtcJDJpQftr7wzvqigPeD1Y+RSHwbP9iAwbWxdv6O0ACvu3oDrfmcjbPl2SFXCMz4Fz/iUtk6dzCfW7Ho8+gc0K8QntHv3bjz11FN45plncObMGTzyyCNwu92hqvEPPPBARFG6//k//ycOHDiAv/iLv8DZs2fxta99DceOHcOuXbsAaNlrn//85/H1r38d/+///T+cOnUKDzzwAOrr63Hvvfdm4iWm1Q0b67FsVfnMIUFvWqAIrGyrQesNVZkbHCVHgaKdCwCR5wAieMFdhJ1H5CtAftjnV4J2s0IApQ43Cu3alcbmykI4DGZtmr1gcnjQftpdy6A9RYYCjRh+sQOBoycgxzozPZwlL6XvSrMUojFb5Vg1oKKnYyR+nSMJdF8cxsq11aZcS0TQDqLhQXX4+naEbQMASO2AO6nOPG7OPpi1TWoHZU+C3DgF8WcPRfBKfPDqvRSAtWCmSFpBYxlu3ncfyjY04fU/eAYAoELgYmkrfNb46aVSAu8ev4pbd67MyN+pXohmIdVjpSrRe6ID/e9cgQxPd060eBRA83vXoKCiGFJV0XeqCwPvdsM/5QUAWPNsqLyhEdVty6BYzNkmZ0mSmPv+TCQAYFpldXgD7rvvPgwMDODRRx9Fb28vNmzYgAMHDoSO1V1dXVCUmffDrbfeip///Of4yle+gi9/+ctYtWoVfvWrX4WWvgHAF77wBbjdbnzmM5/B6OgobrvtNhw4cCCne7DrFEXg+pvq0XpDNfqujMHnDcCRb0VNYwln1nOBFVpQboT+mWUNdqzwyfidLcIeVuiY+fBqaCmDazh+YFvodKC41PzvLz09/ntPnsKf/I82bN26Hq14O+Pp8d6JafinvLDm22EvMv/P0Ygl0TkmC5j7MlqSmK1yrM8bQCCQeJ2szxtAwK/CauPB2ZT0YD1qgD6LENq7TYE2Gx5v3/DH2KAF7HpV+Wh/NpYoFwqiCVa6nx1Y6+ncyx96D7r/71u48i9vQwqBo/WxC0OGc7s8cA1PoaQiM33EF1o9tvvoeQyduzr3jgRvzYrr60PB+qX/OIXxnuGI+/3TPvSe6MD4tRGsuGs9g3azSNSiUUotMJ9SZ9aSsij8vOzatSs0Qz7b4cOH52z7xCc+gU984hMxn08IgccffxyPP/54soaYdRx5VixblbhGBmUZmzL/C4iA9hmmr3E38NAp78zxp66lFJfPD2LK7Y05YbRqXU3WTBJFBu0fx9atSEnnGCMmekdx7c1LcPeNhbYVVDlRd3MriuvL4XFNwd03CgmgsMqJvNLCtI9xIXK+c0wWSemZZKoL0Rh9zj179mBsbCx0u3Ildv/0dLAYLdQlwJN9s4q3fiwWKbXHWYXxxwloa9iKLECxRUu7D7/MpkAL6g09V/zvq/oDWLVrO7wWB3553X9BX1H8yufh3OOexDulUKh67Ot58H7kcwnT46ZGJqIH6+Fm/agUmxV1N7eicet1AIDBc1fnBOvh3L2jGHx3Yevqp4Yn0H30PC6+8BY6fn0Kwxd6ofq5iHpR9JPcWGeqIpjNokKbWWewTkSpspAlOkJfbofg51nsDykpAZcnH+OemQkfq1XBpjtbURwsKBd+SmCxCLRtaUR1vXOeLySzmisLw+rZfDxp9WzmY+zKIC4cOAF3/1jE9skBFy6+8DbO/vNvceb/HEXXq2dx5dWzOPt/38CFfz8Bz3h2pPHr9Wy8rx6HnJxgenyGpDQaNEshGofDAafTGXHLJKvNgvLqwrhXR4UAquudEAIYGXDj3eNX8faRLpx76xrGR6fTN1iKzprGK9DhB3UFWlE6u9DWvhUqM2vdFkmxWuDcshI/vOnTuFzSPK/HGr4IlSLNlYWwKUKrHvu6I2HQPnz+WuKfmQTqNi5H8503YvkH1mHt/beiZn0LhBCQUhoKxgfe7YZM1OM7/FtKie6j53Hun3+LwbNXMX51BGOXB9H1yhmc+eXrmB5Nf70Av8uVG2vYJLQlKfqvQ8rI27QK+Bml09LgV71oKxuG09+T6aEsTSriBtwJ6e1kYxVCAtA1PrfOQV6BDVvevxyb37ccLddXYdmqCqzZVI877rkBdc2lCx9PBun1bKBYIKzpTRxW/QF0/eeZ2BmQAKaH51bnn+gbQ/vzb8I3mdnJDqMYtGdeyv+yd+/ejQcffBCbNm3C5s2bsW/fvjmFaBoaGrB3714AWiGaO+64A3/xF3+BD3/4w3j22Wdx7Ngx/O3f/i2AyEI0q1atCrV1y7ZCNK03VGG4P/bJt5RA48pyHHu5EyP97ojl0ZfPD6F2WQnW3tLAGfhMme/sOrCw1lCzv4f+tUMgdMUnielrXlVBIEaRuXgyHbAD4S1ftPT4R+79H2jFk1HXtHkmphOfLAnt86asdW77SRlQ4XElvjrum/Qg4PHBmmdPuC8A9J+8jMEzwRPoWePzTXpx4YW3cMNHt8BiS89JSc6lw6kAJlTtgpsV2lsoAGNtlIiy3OVBN9bf0YLb2irRVhY7O4jSwKcC813uKGVkYOhWZ5bmzTpeTHlLMOYpAjB3gkcIgdLKApRWZmYZWy4ZuzyIgHcBVfWlhH/ai76TXWjcuir5A0uBnGz3mkVSfpZ933334Tvf+Q4effRRbNiwAW+99dacQjTXrl0L7a8Xovnbv/1brF+/Hv/0T/8UtRDN5z73OXzmM5/BLbfcgomJiawrRFNRU4Qbb2kIBn6R9wkBtG1tROeZgVAFbjnrYmpv1xjOnLgGyhA1fjraHHprKD+0PuuLubIeLonBuqpKvHYkcZ/WaN56tQtuV+avFButHmuxWRKv/5OAYk9CYGzwd6T6A+g71RVnPBL+SS9GLvbF3icFcvLKul8C0xKYktpMFYN1ynHhwTqkViCTs+sZ5If2OTTfcwFv2P76BcjJgHbR0Rf8XBtX4Q+wN3k6TA6PL7ytqwSG269Cne9ETgbl5PlAlkjLNA0L0UTX0FqGippCdF8cwcigG4BAeXUhGpaXYXrSF3cGHgB6Lo1gxZpq5BUYXcRMSeOTgN3g9a7ZraE8qpbWvhh6ykUSCQE8+49Dc7YZ+TaqKvHGry/hvb+7GpYMZ31Eqx47uxBNaUt14sBXCJQ0RS/2pFgtyK8sxtTQeNxgL6+0EIrNAlfPMKYGXYAQKK4vQ0Hl3GU5E9dGofoSr1Mf7ehH5fUNCfdLJl5ZJ8pelwfd8KkSEiogvWgrn2CwbgaTqtY9xoboB1r9Yq9+XwCRAbtOD/4p7YQiFnUqpvpVBDw+KAXxO/KYCc8HMiPzeaxLXF6BHSvbanDL9uW4ZXsrVtxYjbx8G3q7xgxNzPV1jyXeKQlmH/CXvAAArxp3/Vjo//3QUtf0WMymRN9vPhZSXTaBA7/xQRRVwFmWB8UiYLUpqF1WYvjxPm8Ab/5n57zWbKeKPtP+yrvjcDdun1OIxtlYgbzSgrg/w4pVdbDFOYhW39iUeGZWAO/+42u49OLbuHaiE9fevITz/3Ic5//lGLwTkamKAZ+xtDq/x1iv+GTjlXWi7KMfuzdub8bta0sZrJvNlApMBLSCl97gDLlnVtaPhLZtMntmYpcKZ0P5oidPlCzsBMXzgfRjwG5SPq8/cSwgtCAp1SIO+G3VPODrpvV02lm/KRVaitpEQEtXmwrr42wXM3ktRtrBxZOkwFhKoHvYir9/3o+G1jJs/cBK7PjYjXjfR9Zg7eZGKEZ7xQIYGZhEz6WRpIwraWwFcwrRCEVg+V3r4XAG0wb1lxj8PZQ0V6Ihwbqy0tZqVN7QEPn4WaZH3PBPBQNsOXMSNjk0gfbn34R/eubil6GerQIzY84AHqSJsotekFNAwSunR3FquAgua3ozdCgBFdq5hCeY1u6V2rnDeEC7TajRZ9Yp4wprSrUWbQs5hxNAUX1Z2mrSJJt+PqCebOf5QBowYDepvHxb4iW2UtsvlfRgfdP2Vi1YZ1XZSB5tvRgmA1pg7g5os+l+RO/jbE9CRfeFBOoy7MLCrH9d3nz84s3SqA8TQqB+npVjL58fMsUseyL2wjxcf+8taNl+I0qWVaGothTlK2ux8kM3oWX72oQFHYUQaNiyCi3vW4vCmtL5fXMp4ZvyYPDszHupoMqZOBiXQMV19fP7Xkm2JIJ2Bdp7NfwCG1GWaq4sxNsvd0JAAYSdQXu2iFN5nMxBCIHWHW2wLeRcXAI1bfPryGM2Q4FGDL/YAfVkOwDk5vmASfBUxKTqW8rQcXYw7j6KIlDTZDxleaE2bW8NVZVlsB6DH0h4ZFWg9VCdDz3wnb2WbVLVnitfxE6P17erwd7SPglIdaaHvJRwB8pxeqgWXv/Q3McHtayuxNXOUaiqsTMH97gHPm8Adof5P16EoqC0pRqlLXMrwRt6vBAobdaC/dP/8Or8Tq4kMHTuGmo3tIaeq2HrKlx66WTM5yluKEdxQ/mCxppMObuGTUBbU2oNK94gFO09NBW2rIUoy+hBOwCt8BxRAlJK9HW7cOXiMCZGp6EoAtUNTjStKkeRM3uKPKeaozgfq+/ZjKHzVzF0/ir8U15Y8uyoWFULa54d3UfbAYQtcwierjXdej2K68syNeykGQo0Ai92oByAZetNmR5OzjL/GfUSVeh0oGF5Wdz04hU3VsNmT93aF7aAyZDQDDi0QEEIQAl+2PuD6XIqtGrzVjV2T3gVWoG72cVo/DOX7QNWBxKVSy8oduDmO1pw7FCH4Zdw6vVu3PSeZUum7aCre2hBMyG+qcjK+s6GCix//zpcee1cZH9WIVC+qhaNW1ZBJLl2wULpQXu5sx3KulXIiaC9UJmzPEL7f2jtk9xhy1uIspAetKOtEm1lrBRP0amqxMkjV9Df4wpe4Ne2d18aRvelYbRtbUJtGiaMsoU1z4aadc2oWTd3xrxkWSWGzl3FRO8opJQoqilFxep6Y8vgsshwKGhH9p8LmBADdhO74eZ6WCwKrlwYCk2WSgkoFoEVN1ajZXXqrpJfHpxboZ4H9kVSkbhYnJTaLF5EcZkYkWCBAlgw9/lkMKB3Jy+yKK8qxPpbm/D2a1cM7T/UO4Ezb17Fjbc0Jt45BwQ8C+jDCkRdu+ZsqsCaT2zD+LUReMYmodgscDZWwJZvrJd7Os2+si7HsjhotwczT6K9P/UP3zyFhZ8oa+kdNADAqthxaqScQXsOclkbcGq4CK+c7sfxQ5dhW0DbsUvv9mvBOhBxCqLPJ5w6egXFpXkoLM6e6uaZYitwoHJNIywOG6ZH3Aj4/JgedcNW6DDNBfjFGgo0osLSDb/LBRw9waA9BRiwm5iiCFx/Ux1ab6hCf7cLPq8fjnwbahqdsKa4qqR+YD92qEOrDL+2FG3lDTywL5ZPai1cYn1ICwEYKSRoF9GDdf05FKntk8RCNTWNJVi2yo2udmPZFj2do1ixtibldRbMwFa4gJMWIVC2sjb6XYrQqs+aIP09kZxJh7MlOHESwfXsYbNNRERmMhOsj0JAgU0RaK4snNdzBAIqutpjL5PTXbkwjOtvqlvoUJeM4fZruHLkPGRADZ2zDZ7pgcOZj+UfWJ/RQrLJFFoqtxVQJieQE1l3JrI08lWznCPPiqaV5Vi+phoNrWUpD9Z1enXZ44cus7psskzLmZn2cHpROG+wYF0idgPBRaJ9FuC69XWoqi82trMEBvQr9DlsetSN4fZr836cYlFQtSY3MhD0wjOBoyeyt+iMAmMFIXNjQoSIcowerEPYIaDg7Zc75x2sA4BrZAp+X/xMIimBgau5f3xfrLGuQXS9elYL1oGIAsCe8Wlc+Pc3M9aqNRWWRFHaDGHATnExaE8Btzq3HZzeZ3Xa4NSdYqDavCKSHlwoisD6W5ehqCTxjLIQgGfaj/4eF3q7xjA+Op3wMdlmcnAc5//lGFzdBms8BH8fFocVK3auh6M4N66s6/wuV/YG7UZnzTm7TkRmJex49dTggoN1AFADxj7kjO63VEkpcfX4xXg7wDfpXdAFfzNj0J4aTImnhPT0+OOHLmsbmB6/eJ5gz1X9klmqlsUu4Hg65faiq30I1y6Pwu9T4ci3oXFFGRqXl8Nmt0BRBCpqizEx5on7PFICHWcGIq5LOMvzsWZjPZxl2R+oSilx+ZV3oQbUhD/ngqpi2AvzISwCRXVlKGuthmJNT6ZMumR9OpxPAnbEvhCm15fgOSpludnV4mdfhOexPfu4rA04NVIeCtYXo8hpYImXAIrLcqtoWrJNj7rhGZ1MuN/whV5Ur12WhhGlT852kskgBuxkiB60631cKUkWGqj7Zew17MBM4bk4ohWmGR2cxPH/7IQaUEOB9pTbi/aTfei+OILN72uFI9+GhtZSXD4Xv+2gPoyI7zk8hTd+fQmb37c864N2d/+YoYNx1Y2NaNi8Kg0jyrysPkh7ZXAde5TCkPof8uyOC0RZJrzw3Cun+oG2WS0tpZcX5HPAQmfXAcCRb0N1gxMDV11zjuEhEmhaWbHg77EU+KeMpbr7p7wpHklmZPX5gAkxJZ4oG3nV+CnxQmgz+DGEF6bRg/XG0nycePUyAn416kF6etKLk0e1KvFFzjzULltYSxc1IPHbX1/CpXf74ZleWHV1M5gamjC0n8c1leKRmEvWpsNJaBXg9b99fa2h3tlBCK1KfLECOLiQnbKX3pNdQIFVsUfcIOxc+kZYvaEWNrsl5mlGXXMJKmuL0juoLGMrMDa5ZSvI3Ur7WXs+YEKcYSfKRn4A06oWQIS3itP/P1r/9aBowXpzZSF6Lo3AF6dCvZTAyMAkJsamUVSSB4t14df7AgGJC6f70XF2EDff3oyyqoXPBmSKMNgqJ1fatsxH1l5ZVwFMqIBVaN0crDG6MNih1YiYYos3yk560B4NO8NQfqEdW3aswPmTvejvnplpt9kVVNQWo9DpQPfFEVQ3FMOxBDrBLEReaSHyy4swNRz/4n75qtyutJ+15wMmw4CdKFt5JRAIzLR4A7Q1tt6A9m8UsYJ1ABjqMzZjPNQ3gcJiB65dHl30Swj4Vbz5ymXc9qHr4MjLro+joroyQ/sV15u/NVsqZPVB2i8BR/CCVKzWiTYAXsR8rxFlg2hB+/o7WvDK6VEG7UtcfqEd67ctg3faD/eEB0PXJnC5fQi9XWMQQruIf+YE0Li8DNdvqINiMXYRX0qJkQE3ptw+WG0KKmqK0tb9KN3qN63AxRffjn6nELAX5aF8VfT2rrlEPx8od7ZDWbcKWXU+YBLZdYZMphItZY4H9jQLAJiSmFclrGDLl9n9WdWYi9XCHwtIVevTmqwKsQG/ip6OESy/oSopz5cueSUFKK4vw/i1keg/fgEoVgvKVtakfWxmkbVBuwLAkiAzQkrArnCWnbJWrHXOb7/cifV3tITq1fBYb27R6tEkkz3PioGr47h0ZiC0LXS6IIHui1p23vpty+D3qxi8Ng6/NwBHgQ0VNUVQwsbTf9WFs29ew/TkzPpui0WgeXUlVqypNpy5li2KG8rRsn0tun5zFqrXr2VmSQBSIr+iCK3vWwuLbWmEYkOBRuDFDpQDsGy9KdPDyTpL46+EkubYoQ4tXW52oRoAbWUGW1uRKTlL89DfnaCvqtQqw1osChRFQFWTE7T3dY9lXcAOAMveuwYX/u3NuevUBSAsCpbvWLdkDsaxZGXQbmSiSAhAYRE6yj0R6fLBSvIRWJjONMKz5qJdiE8GNaDi3NvxW4/1XXHhXVsPrl0eRSDsYr7dYcV1G2pR31yK/h4X3vpN15zHBgISl94dgGfajxs35V7thNKWKjgbyzF6eQDTw24Ii4CzsQIFVc4lt2QuMmiH+c8FTGRpn0nSvIS3dxPRzmjbKtFWxivv2apheTkuvtMfuyostBS58upCCCFQ11yKns4Ys8vzpPqzc5bSlm/Hdb+7CUPnr2Lw7FX43NNQbFaUrahB1Q2NcDizuxJ+suRkOpyUbPFGOS3WGvfb2ipxariIQXuG6cG6njW3mN7r8QxcG4ffl/gY3X1pZM42r8eP0693Qw2ouHi6P+7jey6NoGlFedZ3kIlGsVpQvqIWWJHpkZjDMIP2eWPATvOiB+2zD+Q+VYZm3hm0ZydHnhU3bKzHu8euzr1TAIoi0La1MXRFuOX6SvReGUNgkcG2EEBhSfb2c7XYraheuyzn+qgm2+x0ODlm4qDdj8hijrFYgjeuY6ccE+tYrwvv4c7jfQYJe6j3eiqCdQAR6esLdfbEtYTL6IQAejpGcjJgpxlDgUZUWLrhd7mgTE4gJy7gpwED9hwhpcTgtXF0tQ9hdEhLzy2vLsSyVRWoqElu641oBwV95h1AqFBNOB7QM2O+rXkal5fDkWfFxXcG4BqZSfOuqi3GyrZqFJfOHEgLix3YdEcLjr3cuaigXUqgacXSLMy21GTVGjaPBByIHbTrVZfyFMCdnRkiRPHEW+MOIJhVx6Vw6RDtWH5qpDwUrKeSzb74gnBGat5ICUyO52ZPcoqUlUvlMowBew6QUuLsm9dw5eJw6BwSAAavjWPg6jiWr6nCyrWpLXwVni4PQJtpr5pJm3dZKwH/IAP3NHJZGwBr5PrDUwMqXjkVvzBNVb0TVfVOTLm98HkDcOTbYlZwL6kowJ3/5Xocf6UTowOTCxpn7bISlFdnX1s3WrisSIfzSsAW1oEhGiE4y05L0rFDHdr/cClcSoUC9SjH8ldPDeLYoY6UrFsPV1XvhFCuQiapZk08VtvC28VSdmHQPj8M2HPA1c5RXLmoXeUOX3+s//+ldwdQUp6PqnpnSscRLWiPILnmLV1c1gacGimH1lh6RniwnugAn19oR76BcwCLVcEtd7ZiqHcCVy4MwzU6BUVREAgE4J2OH8XYHRas3dy45AqvLGXh6XA4esLcQbuR81Mptcq/SeqaQGR2+rE+vAgtg/bUWeyxfLFsdguaV5Wj89xQSr8PAFQ3pvY8lcyFQbtxDNiznJQSnecG4+8kgM5zQykP2IH4hekkVPZ1TYPwFi+zfwepOsALIVBZV4zKumIAWqu2g798N+HjvJ4AAn4VShJS7ih7hA7SW2HuNWzB9jtx17ILAVafo6VmzgV6HtuTTr/w/uqpued46QrWdavaauHzai1Y9UxO/d/8Qhum3InXudctK8G1rrGo9wkBOPJtqGlgwL7UMGg3hgF7lvN6AnC7PPF3ksDIgBuqKiP6YaZKvMJ0AHhgT6HwFi/R0t7TdYCXRnq6L2Bfyh1ZcZD2S8BqoB+7n3/DtPQwaE8dPViPtYQtncE6AAhF4MZbGrDsugpc7RjBlNsHq00JLWk7+tJFuF2emF1mapeV4MZbGuAPqBjoGY9YvglowfqmO1ugWJgSvxRlxflAhjFgzxIBv4rhATcCPhX5hTY4y/MhhJjfmiIpAaQn9XghhekAptTNR9QiNLOC9XQe0MNZrIqhq+6OfGtSCtpQdjL9QdonAUdwBj3aLLuU2j6M12mJYtC+eLGP5elLezequCQPqzfUzdl+83tbcPzlTm0CKewjU0qgorYIN25qgGJRsOHWZRgZcKP70gimJryw2i2oXVaC2sYSWKwM1pcy058PZBgDdpOTUqLjzAA6zw1G9MEsLHbg+pvrUFZVCJvDAp8n/lrhgiJ7xq9cJl7j7uWB3qDw/qvhzHKAF0Jg2aoKnHurN+5+y1ZWcP36Emf6g/SkChQoCEXl4fmgAQDTjNZpaWPQvnAz9WYimeVYblRevg3b7lqJ/h4XertG4fUEkF9gQ8PyMpRVFYaO80IIlFcXobw6ud2LKDeY/nwggxiwm5xe/X0297gHx/+zEzff3oymFeW49O5A3OdZtqoiVUOcF65xX7zwtPd0rVFfCKvNMiftLVxpZQGWXRf5d+mZ9mNibBpCAM6yfFhtnH1fCkx9kFahtW2zCe0mpLbNqzIVniiIQfv8hae9m/lYbpSiCNQ2lfz/7f15lGPVeS9+f4/mWSpJNc9TV0/VA930AA00NMENxFO4b0JCHNsXw7UZfIMdx3BvHMfmGtuBZfuahWMnsXFyDeFnY+MpGNMO89ANPU/V1TXPVSpJVZrns98/VFJLVZqqSrOez1q9oKWto31K6trnOXvv50Fds7bQXSElLHI9oNcMQLhvJ5itiK4HCogC9iJmX/AkDNajGNB3Yhr7b+mCecYB+6I34dJMfY0STR1VuevoKsXucT/4ge7o4wveAN48v0gDfQrLg/UqmTj63Gu/HyiaAX5mbBEX3k/++ak0Uuy6vg3CpVUfPm8Q/admMDdpiwb4AiGHpg49untraalcBSjqoJ0hXObNTwE6IclQ0J655clhi3UsJ6QQLKEmIFr+dWehu1MUKGAvYpPDCylnKAHA4wrAvuDB7oPtGLpgwuTwAkLB8NJ5sUSI5i49OjZVF3w5/HKRgf213w/EPU6J6ZJLl1AOSJw7IN/4EI9Lp2ZStnHafXDafdDq5fB7gzj2hyH4PIG47zofYhgftMBu9VAymgpR1EE7ISStyNjOQUA34JMolbGckEKKD9qLuPxrnlDAXsTcjuQZN2O57H7oa1To2VGPrq21cDt9ADgo1YXft55KssR0HAQr9mZXmmJOKJeOedaJgD91TgWOA6ZGFqDVyzF80bQiWI9iwKLFjcnhhaLZ1kFyK3Y5nGBbNyhoJ6S0tBqVOPP6KLbf0AZwEpyzqio2aC/lsZyQYmCloB0ABexFLdNlwMKYskNCkQBqnTxXXSJ5UOwJ5dLJpB4rY4DH5UcoGK7rmu7G1MSghQL2CkLL4QgpbZGgHQAO9BoL25kCKfWxnJBCs4SaYBBOImi3Q+B2opJv4FPAXsRqGjWYn3akbMNxgLFenacekVxLlVCOg6AkBniRJIMbTRwgFgvh9QQQCqVfRuJy+MEYo4zyFYSWwxFS+iJBO3qN6K2qnNKtpZIclpBiR1vlwihgL2J1zVoMnpuDzxdMWue3sb0KEil9jOWgXPa1VderwQk4MD5FIM6AuhYthMLMAnCBgKNgvULRcjhCSlNkP/vxV0fCD1RI0J5uLKdgnZDVoaCdAvaiJhQJsOuGNhx/fRR+b/DKExwABhjrVOjZWV+w/pG1K+d9bRKpCM2deowPWBI+z3GAQiWFsV4NjgOUGilcdl/S43EcUN1Aq0gqES2HI6S0xQbt5VC6NdHYvVy5jOWEFJNKD9opYC9yKq0MB27txvTYImbHbQgGQlCopGjqrIKhVlWWs47lMrAnEx3wRVf29Z2b56PlXcphgN+wvQ4BfxAzY7YrlQ6WbjQpVFLsuqENgqVZh/aNRpx/L/lnzBjQuqEy90ASGqQJKXXlUu7NLmqMG7cTiYzlFKwTkn2VfD1AAXsJEImFaOkyoKWr/JNulcvAnkx8Eho+7jkOApx5fbQsBniBgEPv3ma0dhsxObIAj8sPsViIuhYtjPXqaLAOAPWtOjjtPoxeMseVMYz8/+ZdDdAZFQU6E1IMKnmQJqQclPrYfmXs5lO2e/McBeuE5FKlXg9QwE6KTqkP7MmkSkIDoKiC9VCQx+yEDTPjiwj4QpApxWhq18NYpwKXYG99Mhq9HJv1qasWcByHDdvqUF2vxvigBTaLBxwHGGpVaO42QK2Vrfd0SkrQ64fP7gEnEECuV4ITFG9pxnyq1EGakHJRqmN7urE7VrmskiOkmFXi9QAF7KQolerAnkzszHpkJr1YeVx+HH9tJK48m8PmxfyUA/oaJXYcaIVoWcnBgD+EmbFFuOw+CIQcqhvUqKpWxm3ZYIxF661L5eK4WXYAqKpWoqq6fC9ygt4AbOPzCPoCkChk0LYaIRAJAYR/Ni6TDaazY7BPLUSXGYhkYtRsbUH11uay3P6yWpU4SBNSTkptbM8kGexyFKwTknuVdj1AATspWskG9tXK94VA0qQ0nARvnTMX1Uz6cjzPcOL1UXjdy2qpLy1Tt5pcuHh8Ctv2NUefmhy24tLJGfA8QySmHLtsgUorw1XXtUAqF2Ni0Iqxy+boTQCxRIjmLj3aNlavCP7LDeN5TB8fhrlvMpw5f2kvv0AsRN1V7RAIBJg7O4aAa2XivaA3gOnjQ/AsutByYCMF7ai8QZqQcpOtsT0fKIEcIcUrcj2g1wxAuG8nmK18rwcoYCdFbcXA3luz6mPks4xM/B71eMUerAOAecYBt9Ofss3suA3dvbWQKyWYnbDh4vHp6HMsppKby+7F+6+OQF0lh2nSHneMgD+E4YvzMM86cfXBdgjLOGiffPcyLJdnrjyw9DPiAyFMHxvM6BgLg7Ooaq+Bpqn881hkgoJ2QkpbNsb2fKAEcoQUN0uoCYiWf91Z6O7kDAXspOhFBnYOArx1zryq1zLwQG9NXoL22GA9UT+PvzqS0XK6QjJN2eMSvyUzP+1Ac5ceA+fmkrZhDPC4AnFL65ezL3gw3DeP7t7atXa5qHkXXfHB+lpxgLlvigL2GBS0E1La1jO25wsF64QUv/igHWV5LUABOykJrUblmvZ9B/ilyDNf++Rilr0vVwqDfjDIpw3WOS6clM6+4IUnzWx8WgyYGLSgc3M1BMLym2W3Dswgozsg6TDAY3Vkp1NlpJKWwxFSjtY6tudLKYzbhJCwoN0OHD1VlkE7BewVxO8LYnbcBq8nALFEiLpmLeTKlUu3i9VaBs18JbexixpxbkEfF6yX4iCvVEnSxpeMAQq1BH5fMCvvGQzw8LgDUKqlWTleMfG7fIiugV8nyhafWKUshyOkXJXiWEkIKS7RVXf7AIHbiXJbdUcBewVgjGH44jyGL5rA2NKEH4CBs3Oob9Vh8+4GCMtwdhPIX3KbSLAeWfZeqhcgje1VGLmUemmiWCJEdb0aTvvKJGlrVa651IQSEaJZ5taD46BpNmajS2WpEpbDEUIIISS5ct4qRwF7BRjpm8fQBVP077GzpzNji+BDPLZf01KAnuVHPpLbvHmuPBLTKNRStG80pgzaN+1qgEAogFong0ItgduxzmXxAIYvzqNzS01JrfjIhK69Bpb+6fQNM2DcVJxZlItJOS+HI4SQYsEYo6olpCiVa9BOAXuZi2TjTmVu0g77ggeaKnmeehXGh3jMTtoxOWSF2+mHSCxAfYsOTR1VkMrFWX2v2KCdQ/ZXE5RDsB7R1VsLsUSE4T4TggE++rhMIUbPjnrUNmkAABzHYcO2Opx+ezzhcTgOkMhE8HnSL52fGVvE/LQDew51lNXSeFWdDsoaDVzz9rVPsnMcWm/YDJlWkdW+lZtyXw5HCCGF5Hb6MX7ZjOmxRQQDPMQSIRo7qtDabcj6NRsh61GOQTsF7GXONGkHz6eOFDgOmB5dzGvAHgyEcOKNUdgsnuiKYb8XGLpowthlM3Zd3watIbsBSiRoz0WCm3IJ1oFwIN620YiWbj0sJheC/hCkCjGqjIoVd9RrGjXYurcJfcenEApdqcPOGKCukmPntS0YH7RipC/1TSPGwt+J88cmsffmzlydWs4xnsE+ZYHH6oRAIIC6UY/2Q9sw/IezcM/brySgW/qvTK+E1+pKuGqeE3DQd9WjeksTZLry+G7lWjkO0oQQUmg2ixvHXx8FH7qSmDbgD2G034ypkQXsubEDSk353Gwnpa/crgcoYC9zPm8goyRiPk/y0lu50HdyGjarZ6kDsZ0JJyE78eYYrr99A0RiYVbft1yC6nwQCAWorlcDCAei5hkH5mec4EM8VFoZGtp0kEhFaGjVoaZBjdkJG1x2X/h1DWpo9XJwHIfu3lroDHL0nZyB1538e8YYYLN64Fj0QK3L72qPbHBML2D8zYsIuP1Lm/IZcHwIyjot2m7cAo/VCdP5CYS8AYgUEtRtb4OqTgfHzALmL0zAMWUFYwyyKiWqNzVB31VHiebWoNwG6VJgtVrx4IMP4je/+Q0EAgHuuOMO/N//+3+hUqmStv/yl7+Ml19+GePj46iursZHPvIRPProo9BqtdF2iZbc/sd//AfuvPPOnJ0LISQeH+Jx6q0xhEL8ypViLBy4n35nHNd8oIuWyZOiUk7XAxSwlzmxVJRRmS6JNH9fBa8ngJlxW8olwkF/CDNji2juorrTheZ2+HDyzTG4nf64GfSBs7PYuLMBzV16iMRCNHXokx6jukGD8QFryoA9wmYpvYDdZbJh+MgZsMhqlph/dK5ZG/p/9X54ZiLIh2fTF10YmrOhdlsrare3Ql1ftfQy2heYDeU0SJeCu+66CzMzMzhy5AgCgQA++clP4t5778Wzzz6bsP309DSmp6fxxBNPYPPmzRgbG8OnP/1pTE9P4/nnn49r+/TTT+Pw4cPRv+t0ulyeCiFkmbkpO/y+UPIGDHDZfViYd0NfQ5MipLiUy/VAzqZvrFYr7rrrLmg0Guh0Otx9991wOp0p2z/44IPo6emBXC5HS0sLPvvZz8Jms8W14zhuxZ/nnnsuV6dR8mqbNGkzcDMG1Lfq8tIfALDMOTPazzs/TXWnCy3gD+H9V0fgcYUTyzF2JRZlLLxSYnbCluIIgNftx/BFE5x2b2ZvWoLx6vSJYbAUd8ZCvmA4WAei330W4jF7agQzJ4aj7ShYzx5LqAn2oxb43zoB5naC2UYL3aWy1NfXh5deegn/+q//ir179+LAgQN48skn8dxzz2F6OnHCxa1bt+LnP/85PvjBD6KzsxM33XQTvva1r+E3v/kNgsH4nBc6nQ51dXXRPzKZLB+nRQhZYjW50l5HchxgNSW/xiekkCLXA/zZgZK9HshZwH7XXXfhwoULOHLkCH7729/ijTfewL333pu0fewd9/Pnz+PHP/4xXnrpJdx9990r2j799NOYmZmJ/vnIRz6Sq9MoeRKpCK0bUpSD4gBDrRJaw/pnNBljCPiCCPhDccFLKMhjenQBA+fmMHzRBI8zs6zioVB26leTtZseWYDPG0y5SmPw3FzCYJUxhoGzs3jjt5cxeMGUUfI5AKiqLq079H6nF67ZxTUnlTOdH1+q106yjYL23Hv33Xeh0+mwe/fu6GM333wzBAIBjh07lvFxbDYbNBoNRKL41V73338/jEYj9uzZgx/96Ecpb4z5fD7Y7fa4P4SQdcp0bKNLNlLELKEmWF8eAX92AABK7nogJ+ugI3fc33///egg/uSTT+K2227DE088gYaGhhWvidxxj+js7MTXvvY1/OVf/iWCwWDcIB65404y091bi1CIx8SgNe4uKWOAoVaF7fub1zWzx/MME4NWjA+Y4XGFlzwr1VK0bjBAIOLQd2IGoSAfrf+eyS91jgPUOppJKbSp0cW0bdxOPxyL3hVJC0f65q+Uh8vwM9fXKEsuS3wgC8H2wtAsare1ZqE3ZLlyWQ5XrGZnZ1FTE18qUyQSQa/XY3Z2NqNjmM1mPProoytu6n/1q1/FTTfdBIVCgZdffhn33XcfnE4nPvvZzyY8zte//nV85StfWduJEEIS0urlmBpZSNmGMUCThYkfQnLJEmoCXh6BHoBw385Cd2dVcjLDXkx33AG6684JOGy6qgEHbtuA9k3VaGirQusGI/b9USd2Xd+2rsRuPM9w+u0x9J+eiQbrAOBy+HDxxDTOH5tCaGkpMGPI+A4sY0BTZ9Wa+0WyI+DLbFY8sGx/WzAQwnCazPBxuHDZuK17mlbTvaIgXHf+Bw5+Z4bbBcia0Ez76j388MMJt6DF/rl06dK638dut+P222/H5s2b8Q//8A9xz33pS1/Ctddei507d+KLX/wi/vZv/xaPP/540mM98sgjsNls0T8TExPr7h8hla6uRQuhKHW4IJWLUF2nzlOPCFkf68sjCB09VVLXAjmZYS+mO+4A3XWPUKgk6Npam9Vjjg9YYJ7J/r6ljk3VUGlohr3QpAoxfN70QbtUHv+rZH7aAT7DLQ0SmQhNS7VcxXlMfpgtUq0CMp0S3kXXmo8hlJTeeZeayEy7XjMA4b6dYDaaaU/l85//PD7xiU+kbNPR0YG6ujqYTKa4x4PBIKxWa9qVcA6HA4cPH4ZarcYLL7wAsTh1Lee9e/fi0Ucfhc/ng1S6ciWOVCpN+DghZO1EYiF69zbhzDvjK1ZJclx4Umjb/mZwAsrBQoqfJdQEg3ASQbsdOHoKwn0oiWuBVV0lPvzww/jmN7+Zsk1fX9+6OgSkv+MesXPnTrhcLjz++OMpA/ZHHnkEn/vc5+KO39zcvO5+VjrGGMYHLOs6hkgsQDDAR/8ulYvQsbkGTR00u14MmtqrcDFSfi8JtU4GlTb+5oo/w5l5fY0Suw+2r7l/xYDjONRd1Y7RV86v7QCMQddWk74dWbdSXg6Xb9XV1aiurk7bbv/+/VhcXMSJEyewa9cuAMArr7wCnuexd+/epK+z2+34wAc+AKlUil//+tcZJZM7ffo0qqqqKCgnJM9qGjW4+sYODF00wTK7NEnDhR/v2FxDWxhJSYluldsHCNxOlMJWuVUF7KV4xx2gu+654vcGMyrTlYpEKsK+P2qDx+WHSCyARienu7RFpL5Vh7HLFridvqSJ57q3rVy1IZWn/ncLhO/My5Xp25UCXWs1mq7pweS7l6+k0V8qxc4JuCvl3pbjAHWDHgrjlaWEjDG4zXZ4F1zgBAKoG6ogVtDvr2yJD9pL4856Mdu0aRMOHz6Me+65B9///vcRCATwwAMP4M4774zmq5mamsKhQ4fw7//+79izZw/sdjtuueUWuN1u/OQnP4nbqlZdXQ2hUIjf/OY3mJubw759+yCTyXDkyBE89thj+Ju/+ZtCni4hFUtnVGDX9W3R5MJiqQhiydq3VBJSSKWW32ZVATvdcS9djGfweYPhmusy0aqSzDHGYDW54LR5wQk4GGtVUKilSFvnIwMSmQgKlQQKlWTdxyLZJxQJsPvGdpx5ZxyLZjfALcWhLLxMbsvVjTAu27cW8AVhnklfko8xoL6tfFZSGHsaoG0xwjowA8+CE5xAAE2jHuoGPcbeuAjHlDX8b4ax6H+VtTq0HdwSPYZr3o6Jty7FL6/ngKr2WjRdswFCMS2dz5ZSWw5XzJ555hk88MADOHToEAQCAe644w5897vfjT4fCATQ398Pt9sNADh58mQ0n01XV1fcsUZGRtDW1gaxWIynnnoKDz30EBhj6Orqwre+9S3cc889+TsxQsqYY9GDiaEFOBe9EIo4VDdoUN+qSxuEi6Wikty+RshypRS05+RfHN1xLx6hII/RfjMmBq3RZcoKlQStG4xo6qxKG7gvmF04f2wqWoc7wlivxparGyBXiuOSza1WQx7rv5O1kcpE2HNTB+wLHphnHAiFGFRaKWobNRAI4xPRBPwhHHtlOH3pPi5coaDKqMhhz/NPLJckzPbe8Ufb4DLZsDA4i4DbD5FcgqrOWqjqdNF/g26LA4O/OwXG8/EvZsDCyBx8Dg+6bt254mdOVq8Ul8MVM71ej2effTbp821tbXHJYQ8ePJg2Wezhw4dx+PDhrPWREBLGGMPlM7MYu2yJ3kMGAMucC4Pn57Dr+jZoDeU1NhOSTKkE7Tm7RUZ33AsvFORx4vVRLFrccY+7nX70nZyGzerGlqsbkwbtNqsHJ14bBZ9gOa9l1oETr4+iqVOPgbNzq+4bt5QVvI4C9pKhqZKvKN223PBFE9xOf9pqALWNGmzZ07SucoKlhOM4qGp1UNXqkraZfn8wHKwn+tkxwD1vx+KICfouKmmZDaUySBNCSDaND1gwdjmcf2j5fbNggMeJN0Zx7a0bIJXRLDqpDKVwPZCzf410x73wRi7NrwjWY02PLsJYp0Zdizbh8wNnZ8En+UwYA5w2H4QiAaob1JifTrwEWlMlg30hXLIqEpsxBijUUlx1XStEaUqFkNIRCvGYHF5IG6wrlGJsv6YlP50qET6HB86ZxbTtzJemKGDPolIYpAkhJFt4nmGkz5yyTTDAY2rYio7NlAyVVI5ivx6g22dliucZJgatqRtxwNiAOWHA7nH5YTWlL1M1NbyAfTd3YnJ4AeMDZrgc4aXQKq0MrRsMaGjTwe8LYXp0AS67D0KhANWNahhqVRUzu1opfO4AQkE+bTu3KwDGGH3+MTKtw+53pM7YT1av2AdpQgjJFpvVnVEVl9lxGwXspOIU8/UABexlyuvyI+APpW7EALvVkzB4yjT7u8cVACfg0NylR1NnVThg47i4mXOpTIT2jemTFZLSlml2f4rTV8o0mZyAks7lRDEP0oQQki2hQPqb6gAQCKS5fiSkTEWuB/SaAQi2daNYrgdoPXK5WmdQJMqwVIdYcuUrxHEcRGJh0mXuTpsXY5fNGO03w2pypd0CsVZedwCmaTvmZxwIZFgPnKyfTCFOm+2f48IJC2l2PZ7coIJYmabSBQdUddCMR65YQk2wH7XA/9YJMLcTzDZa6C4RQkhWyVdRkSdX12iEFDtLqAnWl0fAnx0odFeiaLqmTMkVEkhlIvi8KQJWDqiqViYMnlQaKRQqSTiBWIrX1ydIGudx+RHwhSCRiSBTiOH1BHDu6AQW5uP30ytUEvTua4ZWnzqRWaa87gD6Tk7H7afnBBwaWnXo2VEHkZjqheYSx3Fo6zHi4onppG0YA1o3GPLYq9LAcRxqt7dh8p3+pG0EIiEMPY157FXloZl2Qkgu+X1BTI0sYMHkAgOgMyjQ2FEFmVycl/dXqqXQGRXhMq0p+DxBTA0voKlTn5d+EVJsLKEm4OUR6IGiKP9KAXuZ4gQcWroNGDiXIoN7iuCJ4zh0bqnBuWOTSd4AEIkEcb/MLXNODJ6fg81yZZ+tzqiAx+lPuGfK7fLj/VeHse/mTqi0spTnE/AFwfMMYqkIggRLr32eAI791xD8y25QMJ5hanQBDpsXVx9sh5CS3K0K4xnMs06YZx3gQwwqrQwNbcnrtDZ2VMGx6MXEkHWpYHv48UjpmJ4dddDXqPJ3AiXEsKEeAZcXc2fG4n52ACCUiNDxR9sgSTcLT9atWJfDEUJKm2najrPvTMRV3rHMOTF80YTNVzeisa0qL/3o2VGPY38YSttupN+M+jYdnDYfQiEeSpUE0jzdWCCkWFiLJGingL2MtfYYsWh2Y34mcQb3th4jqhs0SV9f36qDzxvE5TOzKwIIsViIq65vjd4Vnh234ezRiRXHSHkXl4UDwsHzJuy4NnHW8NlxG0b65+FYyjQvlgjR1KlH+0Zj3Iz50AUT/N7gihIlkfexWz2YHF6g2d1VcDl8OPnmGDxOf1yG/4Gzs9i0qwGN7SsvLjiOw8ar6lHdqMb4gAU2iwfcUs31lm4D1XZNgeM41F/VgaqOWpj7p+G1OsEJBdA0GaDvqoNQQr+u8yX+zvpOMBsF7YSQtbMveHDm7fGV1ygsfGl14b0pyORiGGpzf0Nbq5dDIOASluyN5XH68cZv+uPyIVU3qNGzvQ4KNd08JuXPEmqCQTiJoN0OgduJQt7ApyvAMiYQcNh+bQumRxYwNmCBy+4DEJ71bt1gRE2jOu0x2nqMqG3SYGp4AfZFLwRCDsY6FepbdNHZ6mAghPPvJ5mJT4MxwDRlh98XhEQa/3UcODuLkUvx5UcC/hBGLs1jftqOq2/sgFgiRDDIY3p0MXGwHmNiyEIBe4YCviCOvzoSXRkR+7PleYYL709BLBGipnHlDR+O42CsU8NYl/77RVaS6ZRo2ttd6G5UvOVBOyGErNVYf+pSauCAkb75vATsQOb705cnLzbPOLAw78bemzugLJKgfczsAgMD+BBYkPIWkewqlq1yFLCXOYGAQ1OnHk2devA8A4fMs3lHyJUSdPXWJn1+emwRfGh9yUl8nviA3WpyrQjWoxjgtPswcG4Om3c1wOcOpL1TDABuh5/KiWVocmQhdf4DAIPn5lDdQAnkSHkrluVwhJDSxBjD7KQ99aQCC1/3BPyhpFvOskmpkcJp8636dYwBoWAIl07OYNcNbdnv2CqNmV3w8zweur8X+xzPI3D0TDjAIiSLiiFopw29FUQg4FYdrGfCseBdd6mu5QPU+IAl9TEZMD2ygGAgBKEoszcXCDkKLjM0PbqYto3T7ouu2siUx+XHyKV5XD4zi7HL5rQ3BQgppMiFX9BuR+joKcocTwhZNcYzsAwmFYDwisV8aOla+2pDxsJ771MmJc6D2GB9q3IWgaNnMPJ2dpIYE7JcoSvJ0Aw7Wbf13gTQ6uWQKeITmSyaXWmXuPM8g8Pmhc6ggEojhTNF8MhxSLh8myS2PHlf0nYZls3jeYZLJ6cxObwA4EoSustnZtHaY0R3b23Z3EzxOTywXp6Bd9EFThTeg65rq4FASPdHS1H0zvo+FHwPGyGk9AiEAoilQgR8qYNxgYBbsTUwVxraqzA7YYPV5FrzMVx2b9pSrrkSCdZ3H2zBVuUspL98ioJ1knOFnGmnK0iybsY6VdrgOpWOLQlqS2cYvHEIz5q3b6pO2S5cTsy4lu5VpEwzwWba7uLxqWiwDlzZE88YMHrJnLqawXoF3Hnb1zZ3ZhR9zx/F3Lkx2MbNWBwxYfyNPlx8/l14Fpx56QPJvkLfWSeElLbmDn04eW8SHAc0tOnyVslGIOCw87pWtPYY496T45BxHwSCwoQQY2YXAjzD7oOtuG+vj4J1kleFuh6ggJ2sm7FeHZ4hX+UEKccBm3c3oLp+ZXIyfY0ybcwuFHJQ6cLl4OpbdWjbuDIg5zgAHLB1b1PW6r2XEp83iLF+M/pPz2DoggkuR2ZL2Js60peX0ejlGSWdcdl9aZfYj/Vnd3l85O57eMNdKC/72iyXpzFzciT8l8gNrKX/Bj1+DL10GkFvIKd9ILlDQTshZK1aNhggk4sTXtdwHCASC9NOPGSbUChAz/Y63PChjbj6xnbsPtiGGz60ES1dqW8uhF/LQWssXNWX3Te247reKqjm34H9qKVg/SCVqRDXA7Qknqxb5E7t8VdHEAiE4sq/AYBULsJV17Vh0eKGdc4JxgBNlQyN7VVJZ2hbug2YHbclf1MOaOzQQ7R0J3hi0ILJIeuKZpoqObbuaYRSk7rOe7lhjGHoggkjffNgbGkJOsLl72qbNdh6dVPKu+gNbTqMXbbA6/YnXT3RnSIRYazpscXoEvjk/QVmxxezsgoi/u67F5IXnsz53XfGM8yeHk3RAAh6A7AOzKCmN3EJQ1L8iiHxDCGk9EikIuy5qQPn3pvEwrJl6OoqOXr3NkGuLMzycpFIgKpqZfTvTZ16jF62pMwk39xliF5/kfT4YAh+lw+cgINEJSubLYCVLN/XAxSwk6xQa2W45gNdmBiyYmpkAQF/CFKZCI0dejR3VEEsFUGtk6G5U5/R8XQGBbp7a8NLpZfVgAcAbZU8mrl+fMCCS6dmEh7HZvVgYmgBG3fWr+f0Ss5I3zyGL85H/x477s5N2MGHJrDj2pakg4ZILMTVN7bjzDvjsFk9cXXYRWIhtu5pzLj8jD+DWWWOQ9Zm2AM8w66DLXkL1gHAbbEj4Eq/esE6NEsBe4mjoJ0QshYyhRhXH2yH0+7F4rwbjAFagxyaquJa/SdXSrDjmmacfmcCYOzK9cPStZixXoWurQm2MpIVgl4/Zk+PwjIwAxbkAQBSjRw1vS3Qd9dT4F7iItcDes0ABNu6kcvrAQrYSdZI5WJ0ba1F19bMZl7Tad9UDbVOhtF+czQxikwhRku3Ac2deghFAgQDIVw+O5vyOOMDFrR0GwqWHCXfAv5QXLCeyPy0A3arB1pD8iVtMoUYe2/uhM3qhnnGCT7EQ6WTobZRs6oEauIMkugwhqwk2xk0OaPBunLmDViOWgDkvsRLKMPke5m2I8WNgnZCyFqpNDKoinzVX3WDBtcuTcLMTdoRCvFQaWRo7tKjtlGTk4pD5Sbg8WPgP0/A7/TGTTr57B5MvN0Pj9WJxr3dFLSXOEuoCYiWf92Zs/ehgJ1kLBjkMTu+CMucE4wPL2tvaK+CLMPEY2thrFfDWK8Gv1QWZfky7vBsceqMdxwXLgGXqpZ8OTFN2dPWpee48FL1VAF7hFavgFa/9r1q9S06jF4yp21X16xd83sA4aXwu25sxXWb1VDOvAzLd17JWz1WiSqDiy8OkKiL+yKNZI6CdkJIOVOopejZUY+eHZW1QjFbpt8fXBGsxzL3TUHbYoS6IbOVp6R4xQftyMm1AAXsJCOLZjdOvjWGoP9KWRLTlB2DF0zYdFVDxkvd10og4IAEd3Q9bn/6/dFL7SqFzxvMaM+4z5Of2V61ToaaRg1MU/akbZo6q1aU9lurXq0FgSO5TzIXS6ZTQm5Qw2NxJG/EAENPQ976RHIvn8vhCCHlw+cNwu8LQiIVQSpb26W40+bF5PACXA4fhCIBaho1qG3SQEglRAsu6AtgccSUNFgHAHAczJemKGAvI9YcBu0UsJO0PC4/TrwxitDS/ps4DOg7MQ2pTFSQOucisTBtSTluqV2lkEgz+JlwgGSNFwlr0bu3Ceffm8TcpD0uSy5jQGN7FTbuLP1AtnFPFwZfOp34TgkHyA1q6Npo31+5yddyOEJI6bNZ3Bg8b4Jl7kqZT32NEp1bauISv6XCGMPlM7MYu2yJuzlvmrRj4KwIu25oK/ol9+XOu+ACS7PSEYzBZUo+kUFKiyXUBINwEkG7HQK3E9m+gU8BO0lrfMACPpQgWI8xdMEEnyeIRYsbHAfojArUt+S+pmhtkwaXz6Tew87Y+pdbl5LaJi36Ts6kHCwYAxpadXnrk1AkwPZrWuCweTE7tgi/LwSpXISGVh0UGZSGKwWqOh06/2gbxt/qQ8Dtj0uWqGk2ouXAxlXt/SelIx/L4Qghpc0y68TJN0dXTLpa512wvjaCHde2oKYh/cTHWL8FY5fDpcyW3x/2e4M48doorr21u6ImKopOhtvSKRdAecnlVjkK2ElaM+O2tDO2jkUv+k5OR2dPp0cXcfnMLHZc2wJ9jQqhIA+eZxCJBVlNsCFXSlDfqsXMWOIScBwXrheuy3O9UK/bj4lBK2YnbAgFeShUUjR16VHXrA0v788hsUSI9o3G5InnOMBQo4LWkP/MtGqtDOptdXl/33xRN+qx+f93DRxTVngXXeCEAmiaDJBqiisLMMmNXC6HI4SULj7E4+zRicTXUkuPnTs6iYMf2phyooMP8Ri5lDypLGPh5fbTY4to6TIAAEIhHnOTdpinHeHkcVoZmjqqClZGrhIoDGoIRELwwVDyRhxHy+HLUK6CdgrYSVqx+9bTiR2MggEeJ14fhUorg2PRCyC8DLulS4+WDcas1fDcvKsRQT+P+RlHdHlY5L/qKjl2HmjNaxZO67wLp94YRYhn0YHY73Nj0eLG5LAVV13XlvP6pZ1basCHGEb7zQB35WYvY0B1vRq9e5soM2mOcAIOmmYDNM2GQneF5FGul8MRQkrX3JQdgTTXUqEgj9lxGxo7qpK2WZh3pz0OAMyO2dDSZYBj0YuTb4yGy6Yurfqan3FgpG8eXb216NhUvdpTIRkQiIQwbmyA6fxE8kaMoXpz/nLtkPzJRdBOATtJS6YQw+1cW9I2xhAN1oHwcq3B8ybMTdlx9cH2rCzZEooE2HGgBTaLB1MjC/B6ApBIRahv0cJQp8prYOr3BXHqzTGEkmSuX5x349KpaWy9+sov6YA/BKvJBZ4Pl01R69a/94zjOGzYXoeWbgOmxxbhdQcglghR16zNyvEJIStR5nhCSCL2BW/aZLAcB9gXPGhE8oA9EMhsAiUQCMHvC+L46yNXAvzIey/9d/DcHKRSUcobBGTt6na2w212wDm7GP/E0hehaf8GyPWqgvSN5F62rwcoYCdpNXXq0+4TXy3HohcD5+aw6arsJBvjOA46oyLvS9+Xmx5dTJycL8bM6CI29NZBKBbg8plZTA4vxO031+jl2LyrAZqq9S+jlinEdAc9y3wODyz90/BYneEl7416VHXWQiimX6eEgnZCig1jDH5vEBzHQSwVFmR1WaY74dLtaZYr01dT4ThAoZRgangBAV/qAH/oogkN7TpacZcDApEQHbdsh3VwFua+yfA2OUF4m1zNlmYoaysnt1Klyub1AF1hkrSaOqowOWSFx+VPu5c9YwyYGllAd29tWSVGmZ9On/GTMcAy58T06GJcptgI+4IH770yjL2HOjOaDWeMrXqw5UM8Fszupf31Eqi0NOueiblzY5g5PhyXUM4+bsbMiWF03LINymoagAkF7YQUg1CIx1i/GeODVvi94TKmSrUUrT0GNLZX5TVI1deqMHLJnLINY+GM8aloquRQqqVwOXwpj9PYWYXBc3Np++V1B2C3eqA1FHayo1wJhAIYexpgpJKuFSvR9QC41U+kUcBO0hKJhbj6xnacOzYJq8mVtePyIQaHzYsqY2alTEoBn2Qp/HKLFnfCYB0AwACeZ+g/PYPdB9sTNnHavBi7bMbsuA2hEINUJkJTpx4tXXqIpcn/WTPGMHrJjJFL8wgGrqwE0Ojl2LizHjoatJOyDs2Gg3VgRW3VUCCIod+fwcaP7oVEWR5Z78n6UNBOSOGEgjxOvDGKRbM77nGXw4eLx6dhs7ixeXdj3oJ2fY0SCrUkvL0w0WUCB8jkYlTXq1Meh+M4bLyqHideH035XtV1avSdmM6ob5kusyeErM3y6wEW8qz6GBSwk4xI5WLsPtgOp90L65wLPM+gqZJhamQBsxlkkU8qWzP2RUJdJYd9wZP252GzuONmaVdggNXkgtvph0IVn8nVPOvAqbfGAcai7+PzBjF0wYTp0QVcfVMHZPLEy+b6Tk5jcmhhxeP2BQ/ef3UEVx9sL/i2gmLEGMPsqdEUDQA+GIKlfwr1V3Ws6thBrx/mvilYBmYQ9AYgkoqh766DcWMjxAoK/ksZBe2EFMbIpfkVwXqsqZFFGOrUeSv5ynEcdl7bivdfHYbfH4of+zlALBaGE+RmsHbeUKvCzutacfH4FHyeYNxx6lt12HxVAzgBB7lSEv98EnIFZYsnJNci1wN6zQCwZeOqX08BO1kVlUYGlebK8mmZXAzTlAN8iF910C4QckmXfPu8QcxP2REIhCBXSlDToC6JGtaR7QNJcYBaJwtnbM3g5+V2+uIC9oA/hDNvjyetse51B3Du2CSuTjAzb7O4EwbrAAAWDkovHp/C/g900X62ZbyLLvgdae6IMmBhaG5VAbvP5sbAiycR9AWi34eA24e5s2MwX5pG9207IdOVzwqUSkRBOyH5xfMME4MpxuEl4wOWvAXsAKDUSLH/A92YGLRgangBfl8QYqkIjW06NHcbkt5oT6S6Xo3rb++BxeSEy+6HUMShul4NacwxmjqqUt60AMKr65QaujFMSD5YQk3AyyMQuVefyJsCdrIuCrUUV9/YjjPvTsDj9EfrsKcN3jmgsb1qxf51PsTj0ukZTA0vhI+xNAstEguwcWc9GtqKO5uppkqOto1GjCbaq8YBAgGHLbsbcfZoilIfMZbXY50eXUiagR4I/9wXTC44bd4V+9Inhq1ps9Q67T7YFzzQ6mmWPVbIn36WYjXtgPANkuH/OhcXrF95Egj5Axj+w1ls+pN9Gc26kOJFQTsh+eNx+TMqfWazpA5mc0EqE6Fray26ttau+1icgIOxTg1jXeLn65q1GB+wwL7oTThBwHFAz/YkLybr5nN4sDhiQtDjh0ghQVVHLSRKyhdU6SyhJkheGVn16yhgJ+umqZLjwK3dsJpcWDS7wXGAzqjEwrwTQxfmE75GrZWhuzd+wGKM4dyxScxNxiRuWxpkggEe59+bAoCEQTvjGUIhHkKRIDo77PMEYJp2IBTgIVeF94blY5a+u7cWcoUYw33zccvRDDVKbNheD7VOhrpmLYb75lPOskukwhWBc6Y5BKzzrhUBu9Pmy2gVhMvuo4B9GZE8syWD4lXsX3fOLMBnS3HByAC/wwv7lAXaZmPGxyXFKXY5nGBbNyhoJyQ3Mr69WeYryQRCAXbd0I7z701iftoRfnBpEkQqF2HrniZUVdMKrmzjQzwmj16G9fJM+Oe9NFMyc3wYxk2NaNzTTTfhyapRwE6yguM4GGpVMNReqSmpr1FCrZNjtN8cXZYlkYnQ0qVHS7dhxey6zeKJD9YT6D8zi7oWHQRLv+ycNi9G+82YGbeB8QxCkQANbToEfCHMTtrCAfHSACWWCLFxZz3qW3XZPPUVOI5Dc5cBTR16OBa9CAZ5yJViyJVXgr6mDj3G+s0pZ8vbNlZHzzOCZbrvIEEzkSizmxWlsPUg3zxmR0btVrN83TG9gEwK8zqnFyhgLxOR5XB6AMJ9OwvdHULKkkwpgUQmimaGT4gDqiogX4tYEt4b73b6YZ5xgOcZVBopDLUqChpzZPKdflgHl0ohM8SN8ea+KYDj0LS3uzCdI0XBGmpc9WsoYCc5VdOoQU2jBsEgD8YziMSCpPujp0YW0sYvAV8I5lkHaho0sJqcOPnGGFhM8rVQkF+5dy2yN9gfwrljk+HELC269Z9cGpyAg0afuJa6TCHGzuvbcOrNsYR12wXC8A+C51lc0K7VK2CeSZJdPkai961u0KSdoecEXNxNFxLmsab/mQOru9nBeJb2+x5pR8pHfNAOmmUnJMsEAg4t3YbUZc0Y0LLBkL9OFZhCJUFLd+Wcb6F4be4rwXoS5ouTCPkCsE9awAd5SNUyGDY2wtBdD4GofMock+yiqTSSFyKRAGKJMGUys0zrvHtdAQSDPE6/PQ6eZ6tOdtd/ehZ8EQRB+molDtzaDaVm5XJrPsRw+ewcTr01FtfXpo6q1Kv4OECllUGbIGBvaNNBJBGmXC/Y1FEFsYQGjOU4oSCj5ZO2CTNM58bD+9LTUBjU6YNxxiA3pC7zQ0pT0G5H6OgpMNtoobtCSNlp6zHCWJf85nPrBkPaEmqErNbC0GxGezIWhuYQ8gXBQjy8i25MHR3AwH+eXFUeHFJZKGAnRUMsTR1MRttJhJgdX4yrI74afm8Q1mQ10POI8QwXj0/DZU+eLdIy68T4gCX6d6lcjM27l5bSLPtZcVz4xkjvviaEQgxTowsYODeH4YsmOG1eiCVC7Lq+dcXS+EgcaqxXUQKaJNQNVRlkUgRCviCmjw/h0i+OwbuYejWDtq0aQmnqRU4CsRBVHTWr6ispfpZQE+xHLQja7WBuJwXthGSZQMBhx4FWbLqqHkr1lZviOoMC269pxobtdVQNhWRd0OPHKrIoxPEsODHxbn92O0TKBi2JJ0WjrlmLuYnUe9gFAg7GejX6T89ktJw4GY87/QxoLjHGwolgZtLvjR4fsKB1gyF6cdHYXgWpXIThi1fqzHIcUNeiRefmGixY3Hjvv4YRCvLhnxGAwfMmGOtU6N3XjAO3bcDUyAJmx20IBXko1BI0dxpgrFfRBUwSyhot5HoVPAuujL50QV8AQ78/g03/bV/SZfICoQCt12/G8B/OIVxXL+bJpY+h5bpNtESuTCXKHA+uutDdIqRsCAThfDLNXQbwIR7guBV5YQjJJpFsHTXtGbA4YkLg6i6IFVRqj8SjgJ0UjeoGDZQaKdyO5NnMWzcYIJYIwVjKBOtpFXrZt3nWiZlxW0Ztve4A/L4QpLIr/1zDpVzU8HuDCAZCkMhEEImFmJ2w4cJSNn0gPrY0zzlx8o1RXH1TB9o3VqN9IwUHmeI4Du2HejHw4kkEXL70L2Dheuq2sXlUdSQv36NpMqD71p2YOTUM58xi9HFlrQ71O9ugqivuMoZkfZYH7SzkKXSXCClLlEyV5ENVZy3mzo6t/QAMcM4uprxuIJWJAnZSNAQCDrtuaMPJN0bhtPmiM+iR/zZ2VEVrl+oMCsyMLa7tfYRcyr1tucbzDBfem8zKsSQyESRLgTxjDP2nUyQ7YYDN6sH8tAO1TZqsvH8lkahk6Pnw1bBcnobp3ARC6fapc4B90pJ24FXWatF1eCcCbh8CHj9EMgkkqygPR0pbbNAeElGNXkIIKVUynRJVHTVYGDat+RgZVwMiFYUCdlJUZHIx9v9RF8yzTsxN2hAMhCBXStDYXhVXV7y+VYvLZ2YRCq1+H3tbj3FFSbl8mh1fhN8Xyri9XCmBRJq+vwvzbvg86YPIqRErBexrJJKKUdvbCjBg5uRw6mUeLFyPNVNihZSWwVWoSNCO7ZQEixBCSlnzgU0AOCwMzy1tb1uqLZxhHC7X0zhAVqKAnRQdTsChukGN6obkv7REYiG27W/G6bfDS4/Y8v2/LP7/I7P0TZ1V6NxS2CRe48vLzqURu389FZ83g335LLzEnqyPrEqZfvDlVleXnVQ2S6gJkvdHCt0NQggh6yAQCtB6w2bU7mjDwvAcgh4/xAoJFEYNho+cTf5CDlBWayCvousGshIF7KRkVTeosedQJ0b65mGaCierEwg41LVq0d5jhMvhx9ykHcFACArVyln6QnHZvBm3rWlQo7lTn1FbiSSzf86xe+HJ2mgaDRApJAi6k2f4BwMkSikYY5TMj2TEGmosdBcIIYRkgUyrQP3O9rjH6q9qx8zJBDdmOUAoFqH52o156h0pNXTlTkqaVi/HjmtbEAryCAZCEEuE0eQySo0MNY3Ft/SbE3BAKP3aKK1Rge3XtITbZ6CqRgmxVIhAmuX29W2UyGy9OAGHlgMbMXzkXMqs8RNv98M1b0fzNT0UtBNCCCEVrHZ7GyRqOWbPjMK3GK7yA46Drq0a9Vd1QKqRF7aDpGhRwE7KglAkgFBUGllgaxo1mBlbTFkdTCDksPuGtoyDdSC8uqBrSw36Ts4kfJ7jALlKQvvXs0TTaEDX4e2YeLsfPnvy7N7WyzNQGNQwbqTZU0IIIaSSVXXUQtdeA7/DCz4YglgphUgqLnS3SJErjQiHkDLS0m1IW8q7e1sthGsoQ9PUqUdXb220jjfHhf8A4RUHu29oX9NxSWKquipINYq07UznJyjzKyGEEELAcRykGjnkehUF6yQjNMNOSJ5pquTYuqcR59+biibDA2IS43VUoaXLsKZjcxyHjk3VaGzTYWp0EW6HD0KRADWNGuhrlLQsO8sYY3BMp08i6Hd4EHD5IFEVPocCIYSQ7OJ5BtOUHRNDVrgdPojEQtQ1a9HUUQWpnAIyQsj6UMBOyDqEgjzcLj8EHAeFSpLxEvaGtipo9HJMDFphnnGA5xk0ejlaugxZCaylcjE6NlWv6xgkM5nOnDOeZtgJIaTchII8Tr01BqvJFX3M5wli6IIJo/1m7LqhDTpD+pVYhBCSDAXshKxBwB/C0AUTpkYWEAqGa21L5SK0bjCitduQUeCu0siw6aqGXHeV5BDHcZBVKeG1ulK2E4iFECupxjohhJSbS6dn4oL1WKEgj5NvjOK623sglgjz3DNCSLmgzayErFLAH8J7rwxjfNASDdaB8B31y2dmcfbYJO1XriDVm5pSN+AAY09DtHoBIYSQ8uD3BTE9spCyTTDAY3o0dRtCCEmFriAJWaWhCya4HD4gSUw+N2HD3IQ9v50iWbGWGy36rjqoG/WJn+QAmVaJ2u1t6+sYIYSQomOdc6VNIgsA89OO3HeGEFK2chawW61W3HXXXdBoNNDpdLj77rvhdDpTvubgwYPgOC7uz6c//em4NuPj47j99tuhUChQU1ODL3zhCwgGg7k6DULihII8poatSYP1iPFBS346RNbN5/Bg8tgAzj3zJs78+DWc/4+3MH1iCAG3L6PXcwIB2g/1onZHG4TSK7uMOKEAxo2N6LptJ4QS2n1ECCHlJhTi0zdaRTtCCEkkZ1eRd911F2ZmZnDkyBEEAgF88pOfxL333otnn3025evuuecefPWrX43+XaG4kqgjFArh9ttvR11dHd555x3MzMzgr/7qryAWi/HYY4/l6lRIBgZNTogFHFqNykJ3JafcTj9CofS30+0Lyetyk+LhNtsx+NJp8MFQ9CZM0BuA6dw4rJdn0H3bVZBq0ycLEggFqN/ZjtptrfAuugAGSLVyCMUUqBNCSLlSadPnJuE4QK2lCiGEkLXLyQx7X18fXnrpJfzrv/4r9u7diwMHDuDJJ5/Ec889h+np6ZSvVSgUqKuri/7RaDTR515++WVcvHgRP/nJT7Bjxw7ceuutePTRR/HUU0/B7/fn4lRIBgZNTuy6sRWBCsiCzWX4L4bKpxU/PsRj+A/n4oL1KAYEfQGMvHJ+VcvkBUIBFAY1FEY1BeukYtCKOlKpNFXycNCeYshnDGjqTLJtihBCMpCTgP3dd9+FTqfD7t27o4/dfPPNEAgEOHbsWMrXPvPMMzAajdi6dSseeeQRuN3uuOP29vaitrY2+tgHPvAB2O12XLhwIekxfT4f7HZ73B+SHYMmJ3YdbMF9+/3YdbAFg6bUF2mlTqmSQipLHYhxHGCoVeWpR2StbGPzCHr8ybc3MMC76IJrbjGf3SKk5Nx11124cOECjhw5gt/+9rd44403cO+996Z93T333IOZmZnon3/8x3+MPhdZUef3+/HOO+/g3/7t3/DjH/8Yf//3f5/LUyFkVTiOw5bdjRAIuKRBe+sGAzRV8vx2jBBSVnISsM/OzqKmpibuMZFIBL1ej9nZ2aSv+4u/+Av85Cc/wauvvopHHnkE/+///T/85V/+ZdxxY4N1ANG/pzru17/+dWi12uif5ubmtZwWWWbQ5AQDw3Vb1FBOvorrtqjLPmjnBBxaNhhStmEsPECT4uacWQzfXUmF4+CYWcxHdwgpSbSijlQ6rUGBPTd2QGeM3z4lkYrQs6MOG7bXFahnhJBysao1mw8//DC++c1vpmzT19e35s7E3pHv7e1FfX09Dh06hKGhIXR2dq75uI888gg+97nPRf9ut9spaE9hzJy6pjQABHgGBoaH7t+KfY6fw/KdV7DvrwFsuQPHX2PRPe2xymV/e9sGI+xWD+Ym7eE76ksztBwXDtY3bK9DVXV5nGuxyPQ7CcaAUCijY2a81L0CtnoQslbpVtR99KMfTfraZ555Bj/5yU9QV1eHD37wg/jSl74UzVuTbEXdZz7zGVy4cAE7d+5ccTyfzwef70qySFpNt1Imv0uXK5exO5c0ejn23NgBt8MHt8sPkUgIjV4ennkn65LoO8vAA3wIjLbIkAqxqoD985//PD7xiU+kbNPR0YG6ujqYTKa4x4PBIKxWK+rqMr/TuHfvXgDA4OAgOjs7UVdXh/feey+uzdzcHACkPK5UKoVUmj4xCAn/YgzwDLtvbE/ZjoHHdZvV2Od4HpbvvAJLqAlYCtofuv+/4c0LdnCcMO41x18dQVdN6S8V5wQctu1vxuyEDeMDFjgWvOA4QF+nQusGI/QUrGdVxt9JFgqv9ph5GZajFgCp66MrjGpYB2ZSvzljUBjVq+wxIZVjPSvqWltb0dDQgLNnz+KLX/wi+vv78Ytf/CJ63NWuqPv617+Or3zlK+s5nbI2aHKm/T263PFXRzBmdlHQniGFWgqFmq43syWyYjP2e5vw+pOQMreqgL26uhrV1dVp2+3fvx+Li4s4ceIEdu3aBQB45ZVXwPN8NAjPxOnTpwEA9fX10eN+7Wtfg8lkil4gHDlyBBqNBps3b17NqZAkAjzDroMtOLBVk7ohH1rxyzI2aMeW/wYI4gP2918Nz7yXRdDOcahv0aG+RVforpS1MbMLfp7H7oOta/pOplLVWYvp9wfBB5OX2xEpJNA00/YGUnlKcUUdraZLLpJvJu3v0WUObN2Obz95moJ2kneRbZcPPbgj/omlsT5w9AwF66Ri5CSN8aZNm3D48GHcc889+P73v49AIIAHHngAd955JxoaGgAAU1NTOHToEP793/8de/bswdDQEJ599lncdtttMBgMOHv2LB566CFcf/312LZtGwDglltuwebNm/Gxj30M//iP/4jZ2Vn83d/9He6//36aQc+CaAK5vV6o5n+esi0LBhMGRrFBOyda9vW6/8P49lPnyyZoJ7kX4Bl2H2xd13cyGaFYhNbrN2Pk1fNLB4h5kgvXV2+7YQs4QU5SfRBS1EpxRR2tpktsNWP7cs7qa7D7YAuOvzZOQTvJmzGza2nbZS/2u+K/sywYRODoGYy8TYn8SOXIWd2hZ555Bg888AAOHToEgUCAO+64A9/97nejzwcCAfT390ezwEskEvzhD3/Ad77zHbhcLjQ3N+OOO+7A3/3d30VfIxQK8dvf/haf+cxnsH//fiiVSnz84x+Pq9tO1iYyoEeWFJu/80ra1yQLjCJB+3L7/jqIh+7/b/j2U+coaCdpxV5kSl54EuajlrSvWe3ddm1rNbpu3Ym506NwTC+EH+QAbYsRdTvaIdfTd5RUJlpRVx7iksNmOLbH0uw7gfs++iC+BwraSX5EVtY9dH8v9jmeT/idpZl1Umk4tpoiw2XCbrdDq9Xir//Pi5DKaOCJLjuKSSCXi1+GBuEkDH99E46qw0G7RCCggb8CZZpALhKsK2feyMs+taDXj6AvCJFMDJFUnNP3IiQRp9+Pvc88DZvNFpcxvdjdeuutmJubi66o++QnP4ndu3fj2WefBZD5irqmpia8/vrrAMJl3Xbs2IGGhoboirqPfexj+NSnPoXHHnsso35V2li//HfrleSwveva79t+rQf+jz6I7x2T4fhrY5AkWHVEYznJRCbjfyRY36qchfSXT9FMOik7axnrczbDTkrDlWB9fQN6JpYnpvv2U+fobn2Fie5Jv7EtdUN2ZUYoX0llRDIJRDJJzt+HkHJDK+oKb9DkxK4bW1c8no3kXCNvy9GOJ5dm2ltXlMM8/uoojeUkrcj1Zvrxn6dgnZBlKGCvYLF7hPKVbdMSaoLm6Bls/cgBPHR/LwXtFSQ2gdx9+9PUUQ6F8hqsE0LWTq/XR2fTE2lra4sro9jc3BydSU+ltbUVL774Ylb6WM6iy943q9Grjd86pJzMzthuP2qBZilohzA+oez3GC2XJ6nFTg4t/46uEApB8gIF64TEooC9Qi3fI5TPwCh8t/4pbP3I/ZTMpkJES7MtJZBTvPxvKdsH7XZYjlooWCeEkBRiA6H9nl+CPzYQfS5otyOA7Oz3tYSagKOT0OBJiJYt4bzv0MfxPbTiBI3lJIG4BHLLvqOJBO12CtYJWYYC9gq0PFgvRGmMSNBOyWwqQ+yedMkLT8KagwRyhBBSSZavkst1cq5I0A7E//7W2J+MjuUnXhvP2vuR0pdJArnlaOwnZCUK2MtcZGYzFgPD7oMt2KqcReBI4UpjLN8Xd/y1MQyanHFtxAKuKIJ4y5wT45ctsJqcYAzQ6OVo6TagtkkDbtl+vkqS6PuVSFwCOZo5J4SQdSnUKrmE77E08x4btFMVmMqz/PoNQNwNJaqbTsjaUcBexqID+oM74p/gQ+hVmYpij1Bs0H6ud0fcc2+eW8Dx18YKPvM+dMGEoQsmcBwQ2Ya5aHZj0exGQ6sOW/Y0VmTQHrsn/breqtSN+SDtSSeEkCwohlVysSIz74Z9b+C6LXcAFLRXnOhqjwTXm4WeHCKkHFDAXqZiB/RetQlq+6noc8zjhP/IiaL55RlJZrP/wC5wiisDfO81Owu+XN4868DQBROAK8F6rOmxRWgMcrR0GfLcs8K6Eqy34L5rAlDbf5+0LXM7wYJBCtYJIWSdYn/3FlMgFFsFBlvuwPHXGAZNTgraK0Ds9eY1LP5agHcsFs13lJBSRgF7GVo+oEuefwq+ZW2K6ZfnlWQ2J+Iel+D16HL5QiWzGeu3xM2sJ25jRnOnvmJm2ZcnkJM8/+SK79dydloGnxBjDK45G2wTZrAgD6lWgarOWqoDTwhZIXZs/8weT9GVvUpUupWC9vIWG6xvVc7C98uV1R+K6TtKSKmigL3EjZldKx6Lznzu9RXFsvdMWEJNsLy98vF2FC6ZDWMsumc9FY8rAK87ALmy/Gp4J/p+LU8gl9n3q3iDdT7Ewzm9gIDHD5FcDHWDHgKhIOfv63f5MPJfZ+GxOMN1jTkAPMP08SE07u2Gsach530ghBSn5GP70o3SIh3bKWgvH4m+g8vFTg4V2w0kQsoJBewlLDLTuevG1vgnGFtlMFW8Ymu/FiKZTbpgfbXtSkkm3y/7UQuKORhPx9I/jekTwwj5AtHHhFIR6na2w7gxd7kJ+GAIQy+dgs/hDT/AGLD0HWIhHpPv9EMoFqKqozYn708IKV6lPrYnCtoLnYuGrE6kXODuG9tSN2R8SU0OEVKqKGAvUbEJv+67ftnH6HUU/YCeqUIms+E4DiqtDE6bN2U7kVgAmby8/ilFLxgPtiT8fhVrtne/0wuXyQYAUFRrIFUn/zcwf3ESUwnqwYZ8QUwdHQAfCKF2W2uCV67fwvAcfHZPyjYzJ4aha6+pmK0WhJDyGdstoSZojp7Bvn0UtJea2ARyvfqVmd/jlNB3kpBSVl5RRoWIS/i11wvVRHxdS/9bJ0p+5jNWIZPZtHYbcOH4VPIGHNDcmZ8l1PkUu+x9+ferGBPIBdw+TLzTD/tEfH1gdZMBLdf2QKyQxj0e9AUw/f5gymPOnByBYUM9RLLsb3WwDsykbeN3euGet0NZo836+xNCik9csJ7sd28Jje3hKjBnsPUjB/DQ/b0UtJeA2D3p+10/B9Ksive/VTwJjAkpZxSwl5gVCb9eeBLmo5YV7YopmMqGQu2La2jTwTRtx/y0Y+WTHKDWytC+qTqnfci3QZMzrm66+TuvrGhTTN+voDeAgf88Cb9rZeo7x5QFl397Aj0f2h0XeC8Om8DS1Y9nDNbBWdRsbcl2lxHw+DNqF/QG0jcihJSFchzbw0H7U9j6kfux+2Bhq76Q1JaXC/QfPbM0+ZNOaX0nCSlFFLCXmMQJvyrjl2Uh9sVxAg7br2nBaL8Z4wMW+L1BAOFl8I0denRuroZILMzZ+2dTJglkIt+v67aoS6ZuuunCOPwub3QPeBwWnn03nZtAw9Wd0Yd9Dg8g4IBUQTvHhdvlgFghhd+ReqsFAIjk5ZfIkBCyUuyN0kh+kGL/3ZupSNAeqfpy/LWxhOMRBfG5s9oEcldKsZXHd5CQUkcBewlZPvNZSkvjsqUQQbtAwKFjUzXaeozwOP1gjEGukkBYQsvgo0st0yaQYbhuixr7HD8viWCdMQbLpenEwXq0EWDun0b9rg5wgvB+cIFYmPo1S4Si3PyK1HfXwzVnS9lGopZDYVTn5P0JIcUj0dhe7L97VysctD8ZDdqxLDfH8VdHaeY9R1aTQK4YywUSQihgLxmRAb2UZj5zpVDJbAQCDkqNNH3DIhO3jWJ/+qXYysnSCNYBIOQPIuQPpm3HB4II+QPRZfG61mrMnR5N/SLGoGk1ZqGXK1W118B0bjyceC5JiYGG3R2UcI6QMhcJpiphbI8N2iGMX5n2PUbL5XMh8v166P5e9GrTLG8PhSjbOyFFigL2EhA7oJfKzGeuxSazoX1xqcVto3j+ybTtS2l2RyDKfDtCbFu5XgV1ox6OaWvKmfbp9wbRcXNv1hPPCURCdB3egZFXzsM9b4+rwy4QCdC4bwN0bTVZfU9CSHG5EkxtrZixPVKqdbnly+VpLF+/aLb3pT3pgSNn0r6GgnVCihMF7EUu9u7oPsfzFTGgZyqyL+4zH7kf/wQK2hNZ277I0vl+CYQCqJv0cEylCLw5QF1ftSK4b71hM4aPnA0HzEm4zQ4MHzmH7j++Kuuz3WKFFN23XwW32Q77uAV8KASZVgldRw2EYvrVTEg5q9Sx3RJqguXtlY/HLpc/8dp4/jtWZpYnkAscPUPBOCEljK4Ki8igaWW9y0oc0FcjUTKb5T9HsYAruyA+ssw9nbhtFCU0c74atb2tcExakzdgQE3vynrqIqkY7TdtxYWfvpM82GcMbrMdzpkFqBv02elwDI7joKzWQllNpdsIKVc0tqcXmXkPj+UtOPHaeF5Kt5aDRNcDke9XfAI5QkipooC9SETvtj+4I/4JPkQDehqx++LO9e6Ie+7Ncwtlt8Qutlbvdb1VqRvzwZJYaskYQ8gfhEAkXHVNe1WdDs0HNmLi7UtLB1t6YmlCvPmaHqgbEv+c7JOW9MnnOA4Lw6acBOyEkPJGY3tmLKEm4OgkDPvewH17r6egPUPRmfQE36+tyllKIEdImaCAvQjELo3b7/p53HMsGETg6Bka0NOIBO37D+yKe7x37zX4Xhktl48N1u/b64Vq/ucp27NgsKgvCINeP0znJmC+PA1+KXmcptmAmt4WqGp1GR/H0F0PVZ0Olv5pOGcXAcagqtPBsLERUnXyi5WgLxAO7FNmmWfhdoQQsgo0tq9OpAqM4a+B67bcgeOvMQyanBS0JxG77H359wsA/EdOULBOSJmggL3AlicFMX/nlRVtaEDPjP2oBTj6ctxjmn0nyiqZTTTb+9KedPPRNFlfUbzfH7/Lh4H/PIGA2xcXMNsnLbBPWNBy/SboO+syPp5ULUfD7s70DWNIlLKMZtglytKrDkAIKRwa29cmvnTrHfj2U+cpaE/gys37cN10/5ET4WugGPT9IqR8UMBeQMuTghTzTGgpSPSzs7xdGslsxsyutG3isr1nnECueE281YeA278yYF76+/ibl6Cq04WD6hzRthghEAvBB0LJGzEGfVd9zvpACCltiX5/L0/4Vcq/q/MtPmgPl26tpKA9k+uBSLAeXzedvmOElCsK2AskNliPJAWhAT03ij2ZTfRO+Y1tqRsyhvv2eqGceaPkE8j57G44phfStGKwXJ5B/c72uEe9Njesl6fhtXsgFAmhaTFC12oEJ1jd3ncgXF6tYVcnJo9eTtpG11EDhVG96mMTQspf0t/fjKeEX+uQKGgv9RVymYhso8j0eoDqphNSGShgL4DlS5koKUhuFXMym7g96den+efodYSD9TJYieGas6VvxADX7OKVvzKGmRPDMJ0bD9ctZwzggIXhOcyoZOi8ZTukWsWq+2Lc1Lh07CHwQT7u2IYNDWjc273qYxJCyl9swq9efUwm+IAbLBigsX2dKi1oj26jWP59SsTrgOSFJ+n7RUiFoIA9z2KD9fv2+ujuaJ4UYzKbFQnkJlbucYzlf+tEyc+srxZjV9bLz1+cDAfr4SeW/hv+j9/lxeBLp7HxT/asqYZ59eYm6LvrYRubh9/lhUgihrbVCLGC9q4TQlaKXSXXq5iBauKd6HP82QEE7XYa27PAEmqC5ugZbP3IATx0f2/ZBu0rEsilWRXvf4sSyhFSSShgz6PlARrdHc2vYkpmE6mbWi4J5FZLUZNB3XEuXLINAPgQj7kzo8nbMiDg9mFh2ARjT8Oa+iQUC6HvyjzJHSGkMi1fJSd54akVv7/L5Xd1MQhXgXkKWz9yP3YfLJ+qLxHLt0gmSiCXGH3HCKkUFLDnSCQgW46C9cJKlsxmufUE8ck+++ViE8hVWsIYjsugEQsvSQfCS+NDvmDalywMza45YCeEkHSSr5KrnN/fhRAJ2iO5aI6/Nr5i7BYLuKIL4hNdXyzHwBJskaTvEyHkCgrYcyA2Cc11vTVXnmB+9Cpmohm+1/oLmTEGMIATZBL1kOWWB+0Qxt84+fZ331vzzHv0Tvln96RuuPRdiCSQq7TB2dw/nVE7PsQDAIL+9ME6AISoXjohJEdolVxhhYP2cALZc707AE4S9/y3v/teUc28RxLIpb0eCHnQqzLRFklCSFIUsGdZ3FLn/X4Ak1eeDIXWleHbObeI+QsTsE9YwHgGiVoG46YmGHsaEHD7sDg6j5AvCLFKiqqOWoik4uydWJmJDdpdTTfGPRfZJ7faoD125qVXNZm6ceS7UAYJ5NYio6RzANxmO2RaBSSqDPaSc4BETRc7hJDcWL6NiYKr/IsE7b0ffRAQCuOeK6bl8tEEcvf3ZnQ9QN8nQkgqFLBnWVyt7OefXPH8WoN1y+VpTLzdfyWDNQC/w4vp9wYxd3oUIX8Q4BB+nmeYfm8QdTvbUdPbAi6j9ceVJ5LMRoIzcY/v27d91RlpVyyTTPDZr3j/CksgFyvT7ySHcDuFUQOpRg6f3ZO8ccwSekIIyaZBkzNuG9NaVskxnodt3IzFsXnwgRCkGjkMGxog0xXHjHCpiJRqXS52uXwhg/bYPen7HM8jcORM2tdQsE4ISYUC9jUaM69M4RkXrC8N6CsDstUHaN5FVzhYB65kx44RiiwXZleeZ3y4BBYn4FCztSXte/idXlj6p+GYCdfGVtZoYexpWFOZrFKSaJA0HF1ZRiadtc28VGawDgCqhiq45m3RLO/JKGvDyek4jkPj3m4MHzmbuCEHqGp10DQZstxTQkglSTe2r3WVnM/hwdDvz8Dv8IRvrjMAHDB/YRLGTY1o3NtNN9czZAk1wfL2yscjy+W/h1acyFHQnsn1QGwCucCRMxSME0LWjQL2NYgue7+xPe5xxkK4bosaypmXszp7ar40tebXzp4agaGnEUKxMGmbheE5jL3RB4BFAyi32Y75CxNo3NeN6k2VFVhGZt737QsH7W9edICDIOVrGAvRMslVMGxowNyZMaSL2Mdev4i2m7ZCLJdA02RA+6FeTLx9CUFv4MpFL4Cq9ho0XbOR8joQQtYl7di+hm1MfDCEoZdOw+/yLh0Qcf81901BJJegbnvb+jpf4WL3uH8PLTjx2nhWjx9JILf8+xGLgQcYvyyBHCGErA8F7GsQudt+YKsm/gk+iH2On2d9X7J9IpPyHonxQR72cTOqOmsTPu+at2Hs9Ysrn1i6kJg6OgCpWl5xM5fhgT9c+xWb6wBB8hseALKSTLCSSJRStN6wGWOvX0gZs7vmbRh66TQ2fHAXBCIhtC1GaJqugX3KCp/NDYFICE2TARKVLH+dJ4SUpciy92yP7QsjJvid3pRtTOfGUbOlGQJR6rGGpBZZLh8btGejdGs0gdyDO1I35EOUQI4QknUUsK9S7D421fzP455jwWBOkogFvP61v5gL16dOxnRuIm5ffKLXz50dq7iAHbhSRmbfvu3gRKn/qTBbsKL3pK9FVXsNJCophl46DT7IJ27EwltCFkdM0HfXAwA4gQDaZiPQnMfOEkLKWmRsv26LGvtd2R3bF4fn0rbhAyE4phegbTGu6T1ImCXUBBydhGHfG7huyx1AFoL22ARyy78bifiPnKBgnRCSVRSwr0LsgK6ceRnm77yyok3Wg3W3DyxZMJMJBojkksRPMQbbuDl5sL70etecDUFfoCKzzo+8LYfh6MrPOREK1teCSx6sx7AMzEQDdkIIyabI7Ol1W9TY5/h51sf2oI/KUuZTbBUYbLkDx19j6y/VupRALtF3I+H7E0JIFlHAnqHlA3q+ynF5LM51vZ4TCpLesWc8Sx2sx+ADIaACA3aABt9cCqZY/REr1SoRQghZq+hS56WALBdju1Qtg8fqTDveStS0tSdbYoP2SALZdEF7ooRycdnej56h6wFCSEFQwJ6BfAzoSa0zh1ZNbwuEksQfs0AogEguQdCTesm9QCRIOktPyHpk+r0SiOlXFSEku/I1ths2NGBxdD5lG4lKBmWtLuvvXckSBe3JMsdHS7Pe2Bb/xFICOcr2TggpJLoKTiN271Leg3UAimoNOAEXng1PJ1oSJpztvXprM+p2tKV8iXFjA2ZPjyZP/MUB+u56CISps6ST4seHwgkI3WYHIADU9VVQ1VcVtJSQoloDsVKKgCv1DHrA6QXjeXAC+h4SQtYvn2O7qqEK6iY9HFPWpGNt454uKuuWA5kE7bHL3nu18Ul+WTBA2d4JIQVHAXsKy/cu5TtYBwCRVIyqrjpYB2ZSZtNuO7gFLrMdIV8QEpUM+q66jDJnV29uxsLQHHwO78rlehwgkklQu611nWdBCs0xbcXY6xfD5dAEHMAA09lxSDVytB/qhUyX3Vq1meI4DoYNDZg9NZKyXcgfhG3cDF1bTZ56RggpV8vH9lwvdeY4Du03bsXk0cuwDs5Ga7CDASKZGE37N0DbWp2z9690y0u1xgbtccG6ygTFy/8W99qg3U7BOiGk4ChgTyL2l3hkOVSh9i41Xt0Fj8UJj8UR/8TSgN987Ubo2muga199MCOUiNB9+1WYeKcftjFz3HPq+io0X7sRYoV0Hb0nheY22zF85OyVVRoxqzV8Di8Gf3cKPR++urg/Z46DY8pKATshZF0Sje35CMgEIiFaDmxC/VUdsE1YwAeCkGoU0DTpaeVQHsSWat19sAXHXxu/sgz+YAu2KmcheeEpWI/Gz7DTnnVCSDGggB3hATywbMk5A4v+Ei/0ciihRITu23bCfGkK5r6pcD1XjoO2xYCaLS1Q1mrXdXyRTIL2m3rhd3rhMtkAFl6qLNXQXeVyMHNqFCxZsiPGEPQFYO6bQv2ujvx2LNoFlrq0YLhVZttCCCFkmeF5F8TS8O+PQo/tYoUUxp6GvL4nCYuUav3MR+7HPyEctO8+2IL79vpi6qZTgE4IKT4VH7BH77Y/uCP+CT6EXpUp5pd4YQlEQtRsbUHN1pZw4MIh6/vdJCpZRsvoSekIegNwTFpSN2LhsmmFCtjlelX6agUMkOnXXkeXEFK57vsfW6FUq8N/KbKxneRXJGi/76MP4lzvDvQqZiB54Un6LhBCilpFB+wTFjeYWBbeu6Q2QW0/FX2OeZzwHzlRlL/EOQElpkmG8QweqxN8MASJWg6JsoiXeedB0Ju6AsBq2+WCttkAkUwc3l+fBCfgoO+qy2OvCCHlYi/7L2hYeCwv5rGd5Ec4aH8S+w/sgv/39F0ghBS/ig7Y/TyP/ZG9S88/heV5qumXeOlgjMHcNwXTuTEE3FeCT3WTHo1XdxUsqVqhiWTijNoJpZm1ywVOIEDr9ZsxdOQsIhUOlmu+diNEBewjIaR0+V55C76YEpI0tpORt+UwHH156W+0DJ4QUtwqOmDfeV3Tsr1LpFRNvz+E+QsTKx53TFlxee4Eum+/CvKqyltSLZJJoG6ogmNmIWXpPkNXfV77tZy6UY/u23Zi+sQwXLOL0cflBjXqd7ZD02woXOcIISVt7KgcKokkfUNSUSihHCGkVFR0wP6pXT5IXvg+Beslzj1vTxisAwAYwAdDmHynH92378pvx4pE3Y52OGYWkTBi5wChWATj5sZ8d2sFZY0W3bfuhN/pRcDjg0gqWXfiQ7/TC0v/NNxmO8BxUDdUQd9dT7P1hBBCCCGkJOSslojVasVdd90FjUYDnU6Hu+++G06nM2n70dFRcByX8M/PfvazaLtEzz/33HNr6qPktz+gYL3I8cEQrIOzmH5/CDOnRuCet69oY+6fCmcZT4YBLpMd3kVXDntavJS1WrQf2gqBWBh+gOOiPy+xQoquW3dCoiyeZIMSlQzKau26g3Vz3xQuPv8u5s6NwTG9AMeUFdPvD+HiT9+BY8qapd4SQggh2cMYg9/phc/mBh8MFbo7hJAikLMZ9rvuugszMzM4cuQIAoEAPvnJT+Lee+/Fs88+m7B9c3MzZmZm4h7753/+Zzz++OO49dZb4x5/+umncfjw4ejfdTrdmvroeN8KCNdXEo3kzsKICRNvXwIfCAECDmDA3OlRKGs0aLtxa7RuuMfiTJ9lHIDH6qzYvezaZiO23nktFoZNcFvs4DgOqvoqaJsNZVkD2DZuxuTRywmf44M8hv9wFj0f2QOZVpHnnhFCCCErMcawMDiLuXPj8NncAABOJIChux51O9ogktG2DkIqVU4C9r6+Prz00kt4//33sXv3bgDAk08+idtuuw1PPPEEGhpW1iAVCoWoq4vPAv3CCy/gT//0T6FSxe891ul0K9quhTXUCJVw3YchaxDyB2EdnIVtfB58kIdMp4RxYwMURg0AwDZhxthrF668IKYGt2vegcGXTqPnQ7shEAnBCTMLODNtV64EIiEMG+phQGH3q+fD7OlRgEPSffuMAfMXJ9C8vyef3SKEEEISmjk+DNP58bjHWJCH+dIU7BMWdP/xLojlFLQTUolyEsG8++670Ol00WAdAG6++WYIBAIcO3Yso2OcOHECp0+fxt13373iufvvvx9GoxF79uzBj370I7A0s6s+nw92uz3uDykc97wdF3/2LqaODcA5swj3vB3WwVlc/s0JTLx7GTzPY/r4UPIDMAafzY2FoTkA4bJgSFPpjhNwUNXpsncSpGj5XV54LI7kSfYAgDEsDpvy1idCCCEkGefc4opgPYoBfpcPU+8N5LdThJCikZOAfXZ2FjU1NXGPiUQi6PV6zM7OZnSMH/7wh9i0aROuueaauMe/+tWv4qc//SmOHDmCO+64A/fddx+efPLJlMf6+te/Dq1WG/3T3Ny8uhMiWRP0+jH08hmEAsH4J5ZuulguTWH6/SH4Ft1pj2UZCG+h0G9oSLusmxKNVQ4+kNmev1CG7QghhJBcMvely8XDsDgyj6DXn7wNIaRsrSpgf/jhh5Mmhov8uXTp0ro75fF48OyzzyacXf/Sl76Ea6+9Fjt37sQXv/hF/O3f/i0ef/zxlMd75JFHYLPZon8mJpJkFCc5Z7k8g5A/mHL20zowk/zJGAG3DwAglkvQcXNveMl77Hi39P+qOh0a93Stscek1IjkktQXPkskSmkeekMIIYSk5jLZ0ufiYQwea/LkzYSQ8rWqgP3zn/88+vr6Uv7p6OhAXV0dTKb45abBYBBWqzWjvefPP/883G43/uqv/ipt271792JychI+ny9pG6lUCo1GE/eHFMbiSPplyJnOkMYmYFE36LHxo3tQs6UZYqUUQqkYymotWq7fhM4PbIdARMkKKoVIKoaurTrtNgnjxsKXsiOkHJRCVRhCihmXwU3mpYZxf2WMIeQPgg/xOegVIaRYrCrpXHV1Naqrq9O2279/PxYXF3HixAns2hWuff3KK6+A53ns3bs37et/+MMf4kMf+lBG73X69GlUVVVBKqXZslKwYil8EiK5BEFP6qVf+q74mz9StRwNV3eh4WqaTa909TvbYZ+0hEviLJ+04MLfFUPPyuSXhJDVK4WqMIQUM3WTHpb+mZSz7JxQAIVRDQAI+gKYPz8Bc/8UQr7g0jEMqO1toXw9hJShnGSJ37RpEw4fPox77rkH3//+9xEIBPDAAw/gzjvvjGaIn5qawqFDh/Dv//7v2LNnT/S1g4ODeOONN/Diiy+uOO5vfvMbzM3NYd++fZDJZDhy5Agee+wx/M3f/E0uToPkgFSjgN/pTZ0QDEDN1hZMvz+Y+EkuXD98ecBOSIRUq0D37Vdh/I2+FUsI1Q16tFy3CUJJzqpaElIxSqUqDCHFzLixEZZL08kbcIBhQwOEYhECHj8G/vMk/E5P3LWUY8oCx6QFzQc2wtBd/tVgCKkkObtifeaZZ/DAAw/g0KFDEAgEuOOOO/Dd7343+nwgEEB/fz/c7vjkYj/60Y/Q1NSEW265ZcUxxWIxnnrqKTz00ENgjKGrqwvf+ta3cM899+TqNMga8SEe7nk7+GAIUo0cUk243rWxpwGOKWvyF3KAwqhBzdZmCMRCTB29DMazK8vAGINUq0DHzdsSBlx8MAS32QHG85BVqagESgWTV6nQ8+Gr4Tbb4TY7lioFVEGqkRe6a4SUjXRVYT760Y+mPUakKsxTTz214rn7778fn/rUp9DR0YFPf/rT+OQnP5l0+bDP54vbHkcVYUipkFep0HxtDybe7g9f7yybaVdWa9CwuwMAMPFOf+KJj6W/T7x9Cao6HaTqzMY6t9kO25gZfCgEqUaBqo5auqFNSJHJ2b9IvV6fdDkcALS1tSUsx/bYY4/hscceS/iaw4cPxy2NI8WHMYb58xOYOzeOkC8QfVy5lPhN02yEulGfOGjnwvu4Gvd2AwgH97q2algHZ+FbdIETCsKvb6haccHGh3jMnhyG+dJ0eBn00vF0rTVo3NsFsYK2TFQqhVEDhZHyVhCSC7muCnPTTTdBoVDg5Zdfxn333Qen04nPfvazCY/z9a9/HV/5ylfWdiKEFJhhQwNkOiVMFyZgn7CAhXhItQoYNzXCsKEBAqEAfqcX9nFz2mNZLk2j4erOlG2CXj9GXjkP15wtfJOAA8AzTL03iKZ93TBsoG1jhBQLuoVGsmry6OWEy7pcc4sY+M+T6L7tKrTftBVT7w/CenkmPHu+RKZVovnaHiirrwRXIqkYNVtSl+FjPI/hP5yFc3ph2RPA4tg8XKZFbPjg7qIK2n0ODyyXpmBbGpTlBjWMGxuhqtdlnnyGEEJy5OGHH8Y3v/nNlG36+vrW/T6RqjBf+tKXVjwX+9jOnTvhcrnw+OOPJw3YH3nkEXzuc5+L/t1ut1MZV1JSlDVatNdoAYQnQJZfD7jmM1g1wgDn7ELKJnyIx+BLp+GNlNBlLDpDz0I8Jt7uBx/iwQdDCLj9EMnEqOqozXjWnhCSXRSwk6xxzduS78Fi4cB64p1+9HxoN5r396D+qg44phfAgiFIdUoojOo1BavWobmVwXr0fRkCHj9mTg6j5cCmVR87FxbH5jH22oXwCpOlAdLv8sI2Ng/Dhno0XdOT1aDds+CCfcIc3p6gVUDXWk1Z8wkhKX3+85/HJz7xiZRtClEV5tFHH4XP50uYaFYqlVICWlI2El4HpCv9FmmW5vnFURO8C66UbaaODoRn3ZeW6M+eHIG+qw5N1/RAIFxVkSlCyDpRwE6yxnxpOuHeqygGeCwOeKxOyPUqiKRiVLXXJG67mvftm0rdgAELQ3No3NNd8H1ZXps7HKzzy35GS3+1XJ6BVKdMu6ogE0FfAGOvXwxvP4gMujzDpPgymq/pQVVH7brfgxBSnqgqDCHFR7k0+54Sh7SZ4q0Ds+HrgnSRPUPcNZ11cBaMMbRevzl9PwghWUO3yEjWeK3OjO7+pruru+r3XUx/PMazcJKWAjP3TSbM3RDLdG58ZUC/SoznMfT7M3BML+UKYACWjskHQhh7/SIWx+bX9R6EEBJbFea9997D22+/nbAqzMaNG/Hee+/FvTZSFeZTn/rUiuP+5je/wb/+67/i/PnzGBwcxD/90z/hsccew4MPPpiX8yKkGElUMmiaDOFgOxkGyHTKlLXZA25f+mA9iYWhuYyuuwgh2UMBO8maTJdZc6Lsfu04QWbLx7kiWMK1ODafdpAMevzwLDhTN0r3PqPz8FgcKd9r+v2htDcPCCEknWeeeQYbN27EoUOHcNttt+HAgQP453/+5+jz66kKs3//fuzYsQM/+MEP8K1vfQtf/vKXc34+JHu8iy4sDM9hcdSEoNdf6O6UheZre8I5eVJc+ky8dQkX/r93MH8x8SSBWC5JHfSnwnFYGJpb44sJIWtBS+JJ1mhbjHCZbCnbcEJB2qVaa3nfhWFTytl9iUpWFOW8WDD5He+1tEvGOjCTto3f4YF73p7ZEjtCCEmCqsKQ5byLLky8fQku05UkaZyAQ1VnHRr3dkMopjwqayVWSNHzod0wnRuHuX8afCCUsF3IF8DUsQEEfQHU72yPe07fXQ/n7OKa+xDw0M0XQvKp8FOOpGzou+shSDMIGzbUQyQVZ/V9qzc3p12KX9PbUhTZ12VVyvR3tTlAss6bC36XL30jLC2LI4QQQlYpFAgi4PGD8fE3mL02Ny7/9sSKjOaMZ7AOzmD45TMpl2uT9EQyCRqu7sKWP7sWAknq666506MrtgTq2qoh1SrCuW3W8v7y7F7HEUJSo4CdZI1IJkbHH20LL42PHQOW/l/dqEfD1V1Zf1+FUY2W6zZdSawWfd/w/xs2NsDQUxz1RI0bG1MviecAbUt1eLlaCiF/EAvDczBfmoJ90rLigkkky2wwFWb55gkhhJDy5pi2YvClUzj3kzdx4bm3ce7ZtzD13kB01nXm+BD4YCjxWMcAl8mGhWFaUp0NjkkLeH/iGfYoDrBcjq/gIxAJ0XV4B+QG1VIbLvPgnTHoO9NXgCCEZA8tiSdZparVYdMde2G5PI3FkXmEAkHItAoYNjZC22zMeL/5aum76qAwqmHuiwSwDIpqNYwbm4qqtrmurRrWQX04c/tyHCCUiNFwdWfS1zPGMHtqBKbzE2AxMxQimRiNe7ujmd/1XXVwzaXeniCSS6CqpeXwhBBCMmPun8bkO/1xN+X5QAjzFyexODKP9pt7YRs3pz2O5dIUDN31OexpZfDa3amr8yzx2T0rHhMrpNjwx7vgMtlgGw+XfpVpFPAsumC9tv75WAAAF4hJREFUnHxbna69BjKdct19J4RkjgJ2knVihRR1O9pRt6M9feMskumUaNq/Ia/vuVqcQID2Q72YPTkM86Up8DF71dWNejTt3QCpOvly+MmjlxPWug96wyXc2NKd76qOWsydHYPf6Us6kNdf1Q5OQItsCCGEpOeze8LBOrBy9pyF9zVPvns542OR9ROIhBlU5+GSJgXmOA6qWh1UtbroY4znwQm48LVGTB12MKCqowbN127MWv8JIZmhgJ2QDPjsHgTcXgilYsh0ynXN2HMCDiKFFJxICMQE7By4lFnbPQuuhMF6rIm3+yHTKaEwqNF1eCeGjpyBb3HpDnzMFVb9rg4YNhTHNgFCCCHFz9w/lbp2N2NwL9u3nowgy9ViKpW22Yjp9wZTN2IM2lZjxsfkBAI07+9BzdYWLAzNIeDxQSSToKqjFjKtYp09JoSsBQXshKTgnF3E9PGhuIsQqVaB+qvaoWurWfXxGGNJZ8ntUxY4f2vDhtuvSrjczDownXbpGwvxuPzr46jpbUH9rg5s/MgeOKat4eVuAR4ynQL6rrpwSRhCCCEkQ645W0a1u4VSEUK+YPIGXHhZNVk/qUYObWs1bONJSsZygFQth6bRsPpjq+Wo29G27j4SQtaPbnESkoR9yoLBl07DbY6fMfDZ3Bh99QLMl6ZWfUzXnC35LDkD+EAQk0cTLyn0ObwZLH0LM50bh7lvChzHQdNoQPP+HrRevwm121opWCeEEJIz2pbqlM9zAgGMG5vy1Jvy13LdRiirl/LRLFv8J1HK0HHL9pzlDyKE5AfNsBOSAON5jL/RlzJAnjw6AG1r+ozuscyXplLPkjPAObMIn90NqSZ+6ZlQLEy9HHGZuTOjMG5soH3qhBBC1k1VrwvfwE4zBtVub4VIJobp3Hj8eMddyeMiXWfpUnKFUCxC1607YJ+wwHJ5Bn6XFyKpGFWddajqqEm6f50QUjooYCckAduEBUFvIHUjxmAdmEHtttaMj+uxOjOaJfcsuFYE7Lq2GiwMZV4KJ+gNwGWyQ1Wny/g1hBBCSCLGnsZwEJ4Mx0HTpIdULUfD7k7o2mtgvjQFj8UBTiCAptkAw4aGVd3kJpnhBAJoW6uhbU29uoEQUpooYCckAe+CK32pFG6p3SoIhJnNdidqp2kyQKpTwGfzZLw0PhRIsY+QEEIIyZBEJUPLgU0Yf7Nv5fjIARKVNC6DuMKgRgtlFCeEkHWjtbKEJMAJM1l7zoHLMACP0DQbVuwxW/neAigT1EfnBBw6b9m+qqWEEpVsVf0jhBBCktF31aHrtp3QxoxlQqkYtdtaseGDu2n2nBBCcoBm2AlJQNNowMzx4dSNGIOmSb+q4xp6GmA6PwEW4pO2MW5sgFCc+J+mRCnDxo9cjen3hzB/cTLle8kNasirVKvqHyGEEJJKpG4343nwIR4CkXBdpU4jAh4/rAMz8C66okvotc0GysNCCKl4FLCTssJ4Bj4UWvcFhFyvgrJOB9fcYtJSKWKFFNqWzGubAuGAu/2mrRj5r3PhmuuRYy9N6Ksb9ajf1ZnyGJxAgIarO+G2OOAyJSmzw3Fo3Nu1qr4RQgghmeIEAgizFEzPX5zE1HuDiB0UrQMzkKjCWc6p/jchpJJRwE7KgsfqhOncOBZHTWA8g0AshGFDA2q2Nq+5jFnbwS0Y/N0p+GzuFc+JpGJ0/NH2Nd351zQZsPFP9sJ8aQqLIybwoXB9dGNPI3Rt1RkdkxMI0PFH2zH5bj8WhufignaJWobmazdCVatbdd8IIYSQfFoYnsPUsYFlj4YHNb/Lh8HfncLGj+6BSCrOf+cIIaQIUMBOSp590rI0Y41oEhw+EML8xQksDM2i+/ZdayohI5ZLsOGDu7EwOAvL5Wn4XT6IpCLou+pg6GmASLb2vXpStRyNV3eh8eq1z4ILxUK0Xr8ZDbs7YZ+yggV5SHUKqOp0WVmeSAghhOQSYwwzJ0dSNUBwaal8zdaW/HWMEEKKCAXspKSF/EGMvnoejE+wLpwBQV8Qo69dQM+Hdq/p+EKxEMZNjTBualxnT3NHrJDC0F1f6G4QQgghq+KxOOF3eNK2sw7OUsBOCKlYlMmDlDTr4Cz4YPIEbmAMHosDbrM9f50ihBBCSFohXyCjdkFvZu0IIaQcUcBOSpprbjF9Iw5wztly3hdCCCGEZE6szCzHDJUoJYRUMgrYSUlLVyn9SsOMWxJCCCEkD2Q6JeSG9OVHDRto2xchpHJRwE5KmrJak74RA5Q12tx3hhBCCCGr0rC7K1zaNBGOg0ynRFVHbV77RAghxYQCdlLS9N314IQpvsYcIKtSQpFJYE8IIYSQvFI3VKH9UC+EkbJtHBcN4FV1OnTdugMCkbBwHSSEkAKjLPGkpImkYrRevxmjr50PPxC78p0DhGIR2g5uoTJnhBBCSJHSNhux9c5rYBs3w7voAicUQNNkgLwq/XJ5QggpdxSwk5Kna6tG921XYe7sGOwTFgAAJxRA31WHmt4WSNWrr8FOCCGEkPzhBALo2moK3Q1CCCk6FLCTsqCs0aLj5m0IBULgA0EIpWIIUi2VJ4QQQgghhJAiRwE7KStCsRBCMe11I4QQQgghhJQ+moIkhBBCCCGEEEKKEAXshBBCCCGEEEJIEaKAnRBCCCGEEEIIKUIUsBNCCCGEEEIIIUWIAnZCCCGEEEIIIaQIUcBOCCGEEEIIIYQUIQrYCSGEEEIIIYSQIkQBOyGEEEIIIYQQUoQoYCeEEEIIIYQQQooQBeyEEEIIIYQQQkgRooCdEEIIIYQQQggpQhSwE0IIIYQQQgghRYgCdkIIIYQQQgghpAhRwE4IIYQQQgghhBQhCtgJIYQQQgghhJAiJCp0BwqBMQYAcAb8Be4JIYQQEhYZkyJjFFkfGusJIYQUm7WM9RyrwCuDyclJNDc3F7obhBBCyAoTExNoamoqdDdKHo31hBBCitVqxvqKDNh5nsf09DTUajU4jit0d1Ky2+1obm7GxMQENBpNobuzLuV0LkB5nQ+dS/Eqp/Mpp3MBsn8+jDE4HA40NDRAIKAda+tV6LG+3L7vEXRepYXOq7TQeZWWtZzXWsb6ilwSLxAISm72QqPRlM0XvJzOBSiv86FzKV7ldD7ldC5Ads9Hq9Vm5TikeMb6cvu+R9B5lRY6r9JC51VaVnteqx3r6RY+IYQQQgghhBBShChgJ4QQQgghhBBCihAF7EVOKpXiy1/+MqRSaaG7sm7ldC5AeZ0PnUvxKqfzKadzAcrvfEh2lev3g86rtNB5lRY6r9KSr/OqyKRzhBBCCCGEEEJIsaMZdkIIIYQQQgghpAhRwE4IIYQQQgghhBQhCtgJIYQQQgghhJAiRAE7IYQQQgghhBBShChgLzCr1Yq77roLGo0GOp0Od999N5xOZ9L2o6Oj4Dgu4Z+f/exn0XaJnn/uueeK6lwA4ODBgyv6+elPfzquzfj4OG6//XYoFArU1NTgC1/4AoLBYC5PBcDqz8dqteLBBx9ET08P5HI5Wlpa8NnPfhY2my2uXb4+m6eeegptbW2QyWTYu3cv3nvvvZTtf/azn2Hjxo2QyWTo7e3Fiy++GPc8Ywx///d/j/r6esjlctx8880YGBjIer8TWc25/Mu//Auuu+46VFVVoaqqCjfffPOK9p/4xCdWfAaHDx/O9WkAWN25/PjHP17RT5lMFtemkJ8LsLrzSfTvneM43H777dE2hfps3njjDXzwgx9EQ0MDOI7DL3/5y7Svee2113DVVVdBKpWiq6sLP/7xj1e0We2/Q1JaymkMj1Vu43lEqY/rEeU0vscqp7E+VrmN+xHlMv7HKtprAUYK6vDhw2z79u3s6NGj7M0332RdXV3sz//8z5O2DwaDbGZmJu7PV77yFaZSqZjD4Yi2A8CefvrpuHYej6eozoUxxm644QZ2zz33xPXTZrNFnw8Gg2zr1q3s5ptvZqdOnWIvvvgiMxqN7JFHHsnpuTC2+vM5d+4c+5M/+RP261//mg0ODrL/+q//Yt3d3eyOO+6Ia5ePz+a5555jEomE/ehHP2IXLlxg99xzD9PpdGxubi5h+7fffpsJhUL2j//4j+zixYvs7/7u75hYLGbnzp2LtvnGN77BtFot++Uvf8nOnDnDPvShD7H29vacf69Wey5/8Rd/wZ566il26tQp1tfXxz7xiU8wrVbLJicno20+/vGPs8OHD8d9BlarNafnsZZzefrpp5lGo4nr5+zsbFybQn0uazkfi8USdy7nz59nQqGQPf3009E2hfpsXnzxRfa///f/Zr/4xS8YAPbCCy+kbD88PMwUCgX73Oc+xy5evMiefPJJJhQK2UsvvRRts9qfDyk95TSGxyq38TyilMf1iHIa32OV01gfq9zG/YhyGv9jFeu1AAXsBXTx4kUGgL3//vvRx373u98xjuPY1NRUxsfZsWMH++///b/HPZbJlyyb1nouN9xwA/uf//N/Jn3+xRdfZAKBIO6X1T/90z8xjUbDfD5fVvqeSLY+m5/+9KdMIpGwQCAQfSwfn82ePXvY/fffH/17KBRiDQ0N7Otf/3rC9n/6p3/Kbr/99rjH9u7dy/7H//gfjDHGeJ5ndXV17PHHH48+v7i4yKRSKfuP//iPHJzBFas9l+WCwSBTq9Xs3/7t36KPffzjH2cf/vCHs93VtFZ7Lk8//TTTarVJj1fIz4Wx9X823/72t5larWZOpzP6WKE+m1iZ/Bv927/9W7Zly5a4x/7sz/6MfeADH4j+fb0/H1LcymkMj1Vu43lEqY/rEeU0vscqp7E+VrmN+xHlOv7HKqZrAVoSX0DvvvsudDoddu/eHX3s5ptvhkAgwLFjxzI6xokTJ3D69GncfffdK567//77YTQasWfPHvzoRz9C+LuXG+s5l2eeeQZGoxFbt27FI488ArfbHXfc3t5e1NbWRh/7wAc+ALvdjgsXLmT/RGLed72fDQDYbDZoNBqIRKK4x3P52fj9fpw4cQI333xz9DGBQICbb74Z7777bsLXvPvuu3HtgfDPOdJ+ZGQEs7OzcW20Wi327t2b9JjZsJZzWc7tdiMQCECv18c9/tprr6GmpgY9PT34zGc+A4vFktW+L7fWc3E6nWhtbUVzczM+/OEPx33vC/W5ANn5bH74wx/izjvvhFKpjHs835/NWqT7N5ONnw8pbuU0hscqt/E89v1LdVyPKKfxPVY5jfWxym3cj6j08T9Wvq4FROmbkFyZnZ1FTU1N3GMikQh6vR6zs7MZHeOHP/whNm3ahGuuuSbu8a9+9au46aaboFAo8PLLL+O+++6D0+nEZz/72az1P9Zaz+Uv/uIv0NraioaGBpw9exZf/OIX0d/fj1/84hfR48YO7gCif8/0Z7QW2fhszGYzHn30Udx7771xj+f6szGbzQiFQgl/bpcuXUr4mmQ/58i5Rv6bqk0urOVclvviF7+IhoaGuF+Whw8fxp/8yZ+gvb0dQ0ND+F//63/h1ltvxbvvvguhUJjVc4hYy7n09PTgRz/6EbZt2wabzYYnnngC11xzDS5cuICmpqaCfS7A+j+b9957D+fPn8cPf/jDuMcL8dmsRbJ/M3a7HR6PBwsLC+v+7pLiVk5jeKxyG88jSnlcj33/chnfY5XTWB+r3Mb9iEof/2Pl61qAAvYcePjhh/HNb34zZZu+vr51v4/H48Gzzz6LL33pSyuei31s586dcLlcePzxx1c9eOT6XGIHvd7eXtTX1+PQoUMYGhpCZ2fnmo+bTL4+G7vdjttvvx2bN2/GP/zDP8Q9l63PhqT3jW98A8899xxee+21uKQtd955Z/T/e3t7sW3bNnR2duK1117DoUOHCtHVhPbv34/9+/dH/37NNddg06ZN+MEPfoBHH320gD1bvx/+8Ifo7e3Fnj174h4vlc+GlK9yGsNjldt4HkHjOin1sT5WOY/7ETT+rx4F7Dnw+c9/Hp/4xCdStuno6EBdXR1MJlPc48FgEFarFXV1dWnf5/nnn4fb7cZf/dVfpW27d+9ePProo/D5fJBKpWnbR+TrXGL7CQCDg4Po7OxEXV3dikyKc3NzALCq40bk43wcDgcOHz4MtVqNF154AWKxOGX7tX42yRiNRgiFwujPKWJubi5p3+vq6lK2j/x3bm4O9fX1cW127Nix7j4ns5ZziXjiiSfwjW98A3/4wx+wbdu2lG07OjpgNBoxODiYs0FhPecSIRaLsXPnTgwODgIo3OcCrO98XC4XnnvuOXz1q19N+z75+GzWItm/GY1GA7lcDqFQuO7PmxRGOY3hscptPI+ohHE9opzG91jlNNbHKrdxP6LSx/9YebsWyHi3O8m6SAKU48ePRx/7/e9/n3EClBtuuGFFptJk/s//+T+sqqpqzX1NZ73nEvHWW28xAOzMmTOMsStJamIzKf7gBz9gGo2Geb3e7J3AMms9H5vNxvbt28duuOEG5nK5MnqvXHw2e/bsYQ888ED076FQiDU2NqZMSvPHf/zHcY/t379/RVKaJ554Ivq8zWbLW9K51ZwLY4x985vfZBqNhr377rsZvcfExATjOI796le/Wnd/U1nLucQKBoOsp6eHPfTQQ4yxwn4ujK39fJ5++mkmlUqZ2WxO+x75+mxiIcNEM1u3bo177M///M9XJJpZz+dNils5jeGxym08jyj1cT2inMb3WOU01scqt3E/olzH/1jFdC1AAXuBHT58mO3cuZMdO3aMvfXWW6y7uzuuxMjk5CTr6elhx44di3vdwMAA4ziO/e53v1txzF//+tfsX/7lX9i5c+fYwMAA+973vscUCgX7+7//+6I6l8HBQfbVr36VHT9+nI2MjLBf/epXrKOjg11//fXR10TKwNxyyy3s9OnT7KWXXmLV1dV5K+u2mvOx2Wxs7969rLe3lw0ODsaVpQgGg4yx/H02zz33HJNKpezHP/4xu3jxIrv33nuZTqeLZuf92Mc+xh5++OFo+7fffpuJRCL2xBNPsL6+PvblL385YdkXnU7HfvWrX7GzZ8+yD3/4w3kr67aac/nGN77BJBIJe/755+M+g0jJJIfDwf7mb/6Gvfvuu2xkZIT94Q9/YFdddRXr7u7O+UXjas/lK1/5Cvv973/PhoaG2IkTJ9idd97JZDIZu3DhQtz5FuJzWcv5RBw4cID92Z/92YrHC/nZOBwOdurUKXbq1CkGgH3rW99ip06dYmNjY4wxxh5++GH2sY99LNo+UsrlC1/4Auvr62NPPfVUwlIuqX4+pPSV0xgeq9zG87WeVzGN6xHlNL6v57yKeaxfz3kV+7i/1vOKKMbxf3k/ivFagAL2ArNYLOzP//zPmUqlYhqNhn3yk5+Mq8U6MjLCALBXX3017nWPPPIIa25uZqFQaMUxf/e737EdO3YwlUrFlEol2759O/v+97+fsG0hz2V8fJxdf/31TK/XM6lUyrq6utgXvvCFuLqtjDE2OjrKbr31ViaXy5nRaGSf//zn48qpFMv5vPrqqwxAwj8jIyOMsfx+Nk8++SRraWlhEomE7dmzhx09ejT63A033MA+/vGPx7X/6U9/yjZs2MAkEgnbsmUL+8///M+453meZ1/60pdYbW0tk0ql7NChQ6y/vz/r/U5kNefS2tqa8DP48pe/zBhjzO12s1tuuYVVV1czsVjMWltb2T333JO3IGo15/LXf/3X0ba1tbXstttuYydPnow7XiE/F8ZW/z27dOkSA8BefvnlFccq5GeT7N9vpP8f//jH2Q033LDiNTt27GASiYR1dHTE1ZONSPXzIaWvnMbwWOU2nq/1vIptXI8op/E9VjmN9bHKbdyPKJfxP1axXgtwjOWpTgghhBBCCCGEEEIyRnXYCSGEEEIIIYSQIkQBOyGEEEIIIYQQUoQoYCeEEEIIIYQQQooQBeyEEEIIIYQQQkgRooCdEEIIIYQQQggpQhSwE0IIIYQQQgghRYgCdkIIIYQQQgghpAhRwE4IIYQQQgghhBQhCtgJIYQQQgghhJAiRAE7IYQQQgghhBBShChgJ4QQQgghhBBCihAF7IQQQgghhBBCSBH6/wPgH2O8P17EzwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 8. ExtraCurriculum\n",
        "https://medium.com/towards-data-science/stochastic-gradient-descent-with-momentum-a84097641a5d\n",
        "\n",
        "### Gradient Descent with Momentum\n",
        "When you plotted consine function and added some Gaussian noise. What we want to do with this data is, instead of using it. we want some kind of 'moving' average which would 'denoise' the data and bring it closer to the original function.\n",
        "\n",
        "```python\n",
        "torch.optim.SGD(model.parameters(), lr=0.01, momentum=0.9)\n",
        "```\n",
        "\n",
        "### Activation Function\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "4oCj6LonpPtI"
      }
    }
  ]
}