Plot_Top_Losses_Keras_wandb.ipynb

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      "name": "plot_losses.ipynb",
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      "include_colab_link": true
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      "display_name": "Python 3",
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/tulasiram58827/plot_top_losses_keras/blob/master/Plot_Top_Losses_Keras_wandb.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "TEejRkQquHNx",
        "colab_type": "text"
      },
      "source": [
        "Notebook authors:\n",
        "- [tulasiram58827](http://github.com/tulasiram58827)\n",
        "- [sayakpaul](http://github.com/sayakpaul)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KyviyG4ws3jQ",
        "colab_type": "text"
      },
      "source": [
        "## Initial setup"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vnVablSzsuN1",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "91d57a03-664f-4924-a0a1-119bca78774d"
      },
      "source": [
        "# Import TensorFlow and check its version\n",
        "import tensorflow as tf\n",
        "print(tf.__version__)"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.2.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "bOyfHWOiC1P1",
        "colab": {}
      },
      "source": [
        "# Other imports\n",
        "from tensorflow.keras import models, layers, datasets\n",
        "from collections import defaultdict\n",
        "import matplotlib.pyplot as plt\n",
        "import math\n",
        "import numpy as np\n",
        "\n",
        "# Fix the random seeds\n",
        "np.random.seed(42)\n",
        "tf.random.set_seed(42)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ME7z_sZys80q",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# Install wandb\n",
        "!pip install wandb -q\n",
        "!wandb login"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1hHE-fJntM1z",
        "colab_type": "text"
      },
      "source": [
        "## Data collection and preparation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "2CSyefTDDD4a",
        "colab": {}
      },
      "source": [
        "(train_images, train_labels), (test_images, test_labels) = datasets.mnist.load_data()\n",
        "train_images, test_images = train_images / 255.0, test_images / 255.0 # Scale the pixel values to [0,1] range"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "-CRv5ndYJPfy",
        "outputId": "ed8f7950-ac7c-4ae8-b44b-3b0dfcfb5c0c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "# Add a channel dimension\n",
        "train_images = train_images[..., tf.newaxis]\n",
        "test_images = test_images[..., tf.newaxis]\n",
        "train_images.shape, test_images.shape"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "((60000, 28, 28, 1), (10000, 28, 28, 1))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9h0MObHOta8J",
        "colab_type": "text"
      },
      "source": [
        "## Model definition"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "lMui00hAEKZp",
        "colab": {}
      },
      "source": [
        "# Define the model\n",
        "def get_training_model():\n",
        "    model = models.Sequential()\n",
        "    model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(28, 28, 1)))\n",
        "    model.add(layers.MaxPooling2D((2, 2)))\n",
        "    model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n",
        "    model.add(layers.MaxPooling2D((2, 2)))\n",
        "    model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n",
        "    model.add(layers.Flatten())\n",
        "    model.add(layers.Dense(64, activation='relu'))\n",
        "    model.add(layers.Dense(10))\n",
        "    model.add(layers.Softmax())\n",
        "\n",
        "    model.compile(optimizer='adam',\n",
        "              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True, reduction=tf.keras.losses.Reduction.NONE),\n",
        "              metrics=['accuracy'])\n",
        "    \n",
        "    return model"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "-8UXzJ3SJL0N",
        "outputId": "9f0fd3c8-9f84-4c7f-e534-dc4c39238100",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 459
        }
      },
      "source": [
        "model = get_training_model()\n",
        "model.summary()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d (Conv2D)              (None, 26, 26, 32)        320       \n",
            "_________________________________________________________________\n",
            "max_pooling2d (MaxPooling2D) (None, 13, 13, 32)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_1 (Conv2D)            (None, 11, 11, 64)        18496     \n",
            "_________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2 (None, 5, 5, 64)          0         \n",
            "_________________________________________________________________\n",
            "conv2d_2 (Conv2D)            (None, 3, 3, 64)          36928     \n",
            "_________________________________________________________________\n",
            "flatten (Flatten)            (None, 576)               0         \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 64)                36928     \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 10)                650       \n",
            "_________________________________________________________________\n",
            "softmax (Softmax)            (None, 10)                0         \n",
            "=================================================================\n",
            "Total params: 93,322\n",
            "Trainable params: 93,322\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mDBt1_h3teb8",
        "colab_type": "text"
      },
      "source": [
        "## Model training sanity check"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "aYUIYgIMJsmx",
        "outputId": "1376deff-e642-4c41-de8e-a7e3254fb7aa",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 153
        }
      },
      "source": [
        "model = get_training_model()\n",
        "history = model.fit(train_images, train_labels, epochs=4, \n",
        "                    validation_data=(test_images, test_labels))"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/4\n",
            "1875/1875 [==============================] - 11s 6ms/step - loss: 1.6204 - accuracy: 0.8426 - val_loss: 1.5698 - val_accuracy: 0.8908\n",
            "Epoch 2/4\n",
            "1875/1875 [==============================] - 11s 6ms/step - loss: 1.5105 - accuracy: 0.9509 - val_loss: 1.4861 - val_accuracy: 0.9756\n",
            "Epoch 3/4\n",
            "1875/1875 [==============================] - 11s 6ms/step - loss: 1.4811 - accuracy: 0.9805 - val_loss: 1.4760 - val_accuracy: 0.9853\n",
            "Epoch 4/4\n",
            "1875/1875 [==============================] - 11s 6ms/step - loss: 1.4781 - accuracy: 0.9833 - val_loss: 1.4822 - val_accuracy: 0.9788\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "WSs6A0_ePmhk",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "f079d25f-1893-4a2f-e14f-fd17ca7522f0"
      },
      "source": [
        "test_pred = model.predict(test_images)\n",
        "loss = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True,reduction=tf.keras.losses.Reduction.NONE)\n",
        "loss_values = loss(test_labels,test_pred).numpy()\n",
        "print(loss_values, len(loss_values))"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[1.4611502 1.4611502 1.46115   ... 1.46115   2.071598  1.4611502] 10000\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "coA1H7Gotxt7",
        "colab_type": "text"
      },
      "source": [
        "## Function to plot the images from the test set that cause the top losses"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "jQJDexQzQKTL",
        "colab": {}
      },
      "source": [
        "def plot_top_losses(actual, pred, k=9, figsize=(10,10)):\n",
        "  loss_values = loss(actual,pred).numpy()\n",
        "  top_k = loss_values.argsort()[-k:][::-1]\n",
        "  cols = math.ceil(math.sqrt(k))\n",
        "  rows = math.ceil(k/cols)\n",
        "  fig,axes = plt.subplots(rows, cols, figsize=figsize)\n",
        "  fig.suptitle('Prediction/Actual/Loss/Prediction_Probability', weight='bold', size=14)\n",
        "  i =0\n",
        "  for index in top_k:\n",
        "    image = test_images[index]\n",
        "    actual = test_labels[index]\n",
        "    loss_value = loss_values[index]\n",
        "    predicted = np.argmax(pred[index])\n",
        "    prob = pred[index][predicted]\n",
        "    title = f'{predicted}/{actual}/{loss_value:.2f}/{prob:.2f}'\n",
        "    ax = axes.flat[i]\n",
        "    i+=1\n",
        "    image = np.squeeze(image,axis=2)\n",
        "    ax.imshow(image)\n",
        "    ax.set_title(title)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "UvFuhey1YsxJ",
        "outputId": "ac2f3b5b-f056-4781-dbb2-e640ac62ee81",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 663
        }
      },
      "source": [
        "plot_top_losses(test_labels,test_pred,k=8)"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "colab_type": "text",
        "id": "fGWwFuoSYwxI"
      },
      "source": [
        "## Creating a callback that implements the above for train dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Zt4C5DrEuRA8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 85
        },
        "outputId": "04d68c0d-121a-4219-827d-c8e2b1a766c2"
      },
      "source": [
        "import wandb\n",
        "\n",
        "wandb.init(project=\"plot-top-losses\", id=\"mnist-demo\")"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "                Logging results to <a href=\"https://wandb.com\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n",
              "                Project page: <a href=\"https://app.wandb.ai/sayakpaul/plot-top-losses\" target=\"_blank\">https://app.wandb.ai/sayakpaul/plot-top-losses</a><br/>\n",
              "                Run page: <a href=\"https://app.wandb.ai/sayakpaul/plot-top-losses/runs/mnist-demo\" target=\"_blank\">https://app.wandb.ai/sayakpaul/plot-top-losses/runs/mnist-demo</a><br/>\n",
              "            "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "W&B Run: https://app.wandb.ai/sayakpaul/plot-top-losses/runs/mnist-demo"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "V6SoUT5OPmnL",
        "colab": {}
      },
      "source": [
        "class PlotTopLosses(tf.keras.callbacks.Callback):\n",
        "    def __init__(self, k=3, frequency=2):\n",
        "        self.k = k\n",
        "        self.freq = frequency\n",
        "        super(PlotTopLosses, self).__init__()\n",
        "    def on_epoch_begin(self, epoch, logs=None):\n",
        "        self.top_loss = defaultdict(list)\n",
        "    def on_epoch_end(self, epoch, logs=None):\n",
        "      if epoch%self.freq == 0:\n",
        "          train_pred = self.model.predict(train_images)\n",
        "          loss_values = self.model.loss(train_labels,train_pred).numpy()\n",
        "          top_k = loss_values.argsort()[-self.k:][::-1]\n",
        "          for index in top_k:\n",
        "              actual_class = train_labels[index]\n",
        "              loss_value = loss_values[index]\n",
        "              predicted_class = np.argmax(train_pred[index])\n",
        "              prob = train_pred[index][predicted_class]\n",
        "              self.top_loss[epoch,index].append([predicted_class,actual_class,loss_value,prob])\n",
        "          self.plot_losses(epoch)\n",
        "\n",
        "    def plot_losses(self, epoch, figsize=(10, 10)):\n",
        "        cols = math.ceil(math.sqrt(self.k))\n",
        "        rows = math.ceil(self.k/cols)\n",
        "        fig,axes = plt.subplots(rows, cols, figsize=figsize)\n",
        "        fig.suptitle('Prediction/Actual/Loss/Prediction_Probability/epoch', weight='bold', size=14)\n",
        "        \n",
        "        i = 0\n",
        "\n",
        "        for ((epoch,index), plot_stuff) in self.top_loss.items():\n",
        "            # Unpack the values\n",
        "            image = train_images[index]\n",
        "            actual_label = train_labels[index]\n",
        "            loss_value = plot_stuff[0][2]\n",
        "            predicted = plot_stuff[0][0]\n",
        "            prob = plot_stuff[0][3]\n",
        "\n",
        "            # Prepare the plot\n",
        "            title = f'{predicted}/{actual_label}/{loss_value:.2f}/{prob:.2f}/{epoch}'\n",
        "            ax = axes.flat[i]\n",
        "            i+=1\n",
        "            image = np.squeeze(image,axis=2)\n",
        "            ax.imshow(image)\n",
        "            ax.set_title(title)\n",
        "\n",
        "        wandb.log({\"top_losses\": fig})"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "W_wZfPoLQTbs",
        "outputId": "d85efb20-83dc-4d95-ca7e-8bc962299b11",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "model = get_training_model()\n",
        "history = model.fit(train_images, train_labels, epochs=4, \n",
        "                    validation_data=(test_images, test_labels),\n",
        "                    callbacks=[PlotTopLosses(k=9, frequency=1)])"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/4\n",
            "1875/1875 [==============================] - 15s 8ms/step - loss: 1.6399 - accuracy: 0.8223 - val_loss: 1.5842 - val_accuracy: 0.8765\n",
            "Epoch 2/4\n",
            "1875/1875 [==============================] - 13s 7ms/step - loss: 1.4972 - accuracy: 0.9642 - val_loss: 1.4753 - val_accuracy: 0.9861\n",
            "Epoch 3/4\n",
            "1875/1875 [==============================] - 12s 7ms/step - loss: 1.4793 - accuracy: 0.9820 - val_loss: 1.4792 - val_accuracy: 0.9822\n",
            "Epoch 4/4\n",
            "1875/1875 [==============================] - 12s 7ms/step - loss: 1.4755 - accuracy: 0.9860 - val_loss: 1.4735 - val_accuracy: 0.9879\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "j33XBJMyef1v",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "ea081353-3ab9-48da-d97f-8bbd3d51c4a1"
      },
      "source": [
        "wandb.init(project=\"plot-top-losses\", id=\"mnist-demo-kerascallback\")\n",
        "model = get_training_model()\n",
        "history = model.fit(train_images, train_labels, epochs=4, \n",
        "                    validation_data=(test_images, test_labels),\n",
        "                    callbacks=[PlotTopLosses(k=9, frequency=1),\n",
        "                               wandb.keras.WandbCallback()])"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "                Logging results to <a href=\"https://wandb.com\" target=\"_blank\">Weights & Biases</a> <a href=\"https://docs.wandb.com/integrations/jupyter.html\" target=\"_blank\">(Documentation)</a>.<br/>\n",
              "                Project page: <a href=\"https://app.wandb.ai/sayakpaul/plot-top-losses\" target=\"_blank\">https://app.wandb.ai/sayakpaul/plot-top-losses</a><br/>\n",
              "                Run page: <a href=\"https://app.wandb.ai/sayakpaul/plot-top-losses/runs/mnist-demo-kerascallback\" target=\"_blank\">https://app.wandb.ai/sayakpaul/plot-top-losses/runs/mnist-demo-kerascallback</a><br/>\n",
              "            "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/4\n",
            "1875/1875 [==============================] - 14s 8ms/step - loss: 1.5872 - accuracy: 0.8757 - val_loss: 1.4923 - val_accuracy: 0.9702\n",
            "Epoch 2/4\n",
            "1875/1875 [==============================] - 13s 7ms/step - loss: 1.4854 - accuracy: 0.9761 - val_loss: 1.4766 - val_accuracy: 0.9842\n",
            "Epoch 3/4\n",
            "1875/1875 [==============================] - 12s 7ms/step - loss: 1.4800 - accuracy: 0.9813 - val_loss: 1.4786 - val_accuracy: 0.9826\n",
            "Epoch 4/4\n",
            "1875/1875 [==============================] - 12s 7ms/step - loss: 1.4779 - accuracy: 0.9834 - val_loss: 1.4803 - val_accuracy: 0.9808\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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pm9DucUnHu/vtivy2VbW4+72h/1uUvLGMCYtulfSd0MYlfUbJMTS5n9H4jpI8aKv/Dj/vJfr7o5J8uk/J4zRcSa59VdJZbd7hztfeHDxB0jOS+ikpBCZ68ntTkvRjJa817yh5DK+V9OuMdU+V9HUlX5GvUPL8fabC+5N7Tk9W8nyup+TYnw1Ty5+TdGf4d3kYZ050W3b365R8NX2Xkg9X2ygpxv+kZPso9G0lr4vrKimufqDwWJSbl2W+3qIO5I74B+paOLhynqQz3T32wtWwwtdp85TMkJrY1eOJMbNfKjmQfmikKAXqjpldqOQ3qf7k7umvXzu8LYdDAWaGf7/o7pOrMljUPQ7wRqMYomSG1LVtNWxAQ5T8Yvefu3ogGZ6W9D8UStVjZsMl3Vhi8RxPjh1DO1nyY6WfUvKDp67ivUJsy2g39iwBQBco2EtRqJzZsoiw5OTUxyr5CvEcd7+0in2PFHuWuiWKJQAAgAwc4A0AAJCBYgkAACADxRIAAEAGiiUAAIAMFEsAAAAZKJYAAAAyUCwBAABkoFgCAADIQLEEAACQgWIJAAAgA8USAABABoolAACADBRLAAAAGSiWAAAAMlAsAQAAZKBYAgAAyECxBAAAkIFiCQAAIAPFEgAAQAaKJQAAgAwUSwAAABkolgAAADJQLAEAAGSgWAIAAMhAsQQAAJCBYgkAACADxRIAAEAGiiUAAIAMFEsAAAAZKJYAAAAyUCwBAABkoFgCAADIQLEEAACQgWIJAAAgA8USAABABoolAACADBRLAAAAGSiWAAAAMlAsAQAAZKBYAgAAyECxBAAAkIFiCQAAIAPFEgAAQIZuWyyZWR8zu8zMZpnZYjObZmYHFLT5lpn92MyONrMlqctSM3Mz27mg/XNmNtrMvmlmM0K/M83sm2WO6Xuh330K4vuY2WNm9q6ZzTazIwqWH2lmV4frk8I41pjZcWU8Bpeb2SIzm2tm3yhYvreZPRvu791mtmnB8t5mtsDMBrTVF+qfmU00s6lmttzMJkeWkw/kQ7fSzveJMSF/3g6XO8xsTKRP8qIR88Ldu+VFUn9J50gaqaRoPEjSYkkjU23ulbRn5LbHSXpJkqVioyS9GK6fLmknST0lbSVplqTPtTGeUZKelPS6pH1S8TGS5ks6IPQ3RNKogtv+UdLnw/WvSdpb0lRJx7Wxzv8n6T+S1pO0jaS5kvYPy9aXtFDS4ZL6SvqppAcLbr+PpDva6otLY1wkfUbSIZIukTQ5spx8IB+61UXteJ+Q9IHQziS1SDpZ0vSC/siLBs2LLh9APV0kTZf02XB9vbDxtUTa3S3p7ILYyZIuLNHvhZIuamPd/5B0oKTWgiS4WtIPMm7XQ9I8SesXxO8tIwlel7Rf6v8fSLo2XJ8g6f7Usv6S3pO0dSp2vqRvtNUXl8a6SPqhCool8oF84PL+c9nm+4SSguVrkpYWxMmLBs2Lbvs1XCEzGyZptKSnQuiTku5099UF7TaV9FFJfyjo4kBJt0b6NUl7pfqNrftwScvd/bbI4t1DmyfNbI6Z/dHMBqeW7yrpZXdfkHX/IutcT9JwSU+kwk9I2jZc3za9zN3fVbL3YNtU+wMl3VpGX2h85AP50O2V8z5hZu9IWibpIkk/LuiCvGjQvKBYkmRmvSRdJekKd382hD8lKbZRfkHSf9x9Zur2/STtImlKpP05Sh7n35dY90AlCXVKieFtJOkYSZ+VtKWkdZQkYU6pcbZlQPi7MBVbKGlgavlC5Xt/uZmNktTT3Z8roy80PvKBfOjWyn2fcPcPSBokaaKkx1O3Jy+y+6pr3b5YMrMekq6UtELJxp2L7atkl2ehL0i6oiC2t5JdkcsL+p4Y2n+qcFnKOZKudPfWEsvfk/R7d3/e3ZcoSZgDU8sPVMeSYEn4u24qtq6S7+Nzy9dVvvTyAyX9vcy+0MDIh/eXkw/dVHvfJ8Ielt9I+oOZbRDC5EV2X3WtWxdLYdfnZZKGKfkOemVYtIukWe7+RkH7PSR9UNKfC7oq2hDN7EuSzpS0t7vPzhjG3pJODjMD5kraWNL1ZnZGWD5dkqfav3/dzDZUslvzsbbuayF3f1vSHEk7pMI7aO1u4KfSy8ysv5KDC3PL37/PZfSFxkY+kA/dVnvfJ1J6SOonaUT4n7xo5Lzo6oOmuvKipPJ/UNKAgvi5kr4XaT9J0h8i8VZJm6T+P1rJUf7blDGGIZI2TF1eVTKzYEBY/iVJMyVtriTxrlfyCUOSvijp8oL+eiuZlXCfpK+E6z1KrPs8Sf9WcpDi1ko25Nwsh6FKdpF+NvTxE4VZDmEcb0rqW05fXBrjouSg1L5KZqxcGa73JB/Ih+58UZnvE0r2Mu2oZCbcukoO2H49t12QF42dF10+gC6749KmSqrvZUp2D+YuRyuZTjmuoH1fSe8o+QSQjm8naUZBbKaklQX9/ia1/ClJR5cYV6tSsxxC7FxJb4TLlZLWC/E/SzqsoO2UcL/Sl/Fh2dGSnkq17SPpckmLlMyU+EZBX/tIelbJLt4pCtNllUyfvaWgbWZfXOr/omRXf+G2cw75QD5014va8T6hpHh5Nix/Q8mB3NuHZeRFGX3V88XCHUAQZjs8LmmEl/HgmNnpSqZjnl7zweWvt6eSTyWbu/uiTl73r5Uk/q87c73ofORDWesmH7oZ8qKsdTdVXvTs6gHUoUGSTisnAYJWSTfXbjglDZb03c5OgGCauuY+o/ORD20jH7of8qJtTZUX7FkCAADI0K1nwwEAALSloq/hzGx/SRcoOfr/Unc/L6t9b+vjfdW/klUCHbZYby9w96G1XAc5gUZCTgD5SuVEh4slM2uR9Csl0yVnS3rEzG5y96dL3aav+ms327ujqwQqcof/eVYt+ycn0GjICSBfqZyo5Gu4XZWcPflld18h6VpJB1fQH9DoyAkgHzmBplBJsTRCyQ9j5czW2l8qfZ+ZTTCzqWY2daVK/ZI70BTICSAfOYGmUPMDvN19kruPc/dxvdSn1qsD6h45AeQjJ1DvKimWXlNyfpqcjUIM6K7ICSAfOYGmUEmx9IikLc1sMzPrLelzkm6qzrCAhkROAPnICTSFDs+Gc/dVZjZR0j+VTAm93N0b4+zBQA2QE0A+cgLNoqLfWXL32yTdVqWxAA2PnADykRNoBvyCNwAAQAaKJQAAgAwUSwAAABkolgAAADJQLAEAAGSgWAIAAMhAsQQAAJCBYgkAACBDRT9KCQAAOl+Pfv2icdv4g9H4cyeuXxQ78uP3RduePXRaxwcWbHPt16LxUac9WHHfXYE9SwAAABkolgAAADJQLAEAAGSgWAIAAMhAsQQAAJCB2XAAANSx2My35ydtFW379Mcnld9vif0la7Sm7D5KmXL4z6LxY27/ejTe+x+PVLzOWmLPEgAAQAaKJQAAgAwUSwAAABkolgAAADJQLAEAAGSoaDacmbVKWixptaRV7j6uGoMCGhU5URujHukbjf96RPw8U2fMG1sUe2KX+Mudr1rV8YGhTeRE5V7+9g5Fsac/fmEXjKR8w1rWicaXnfJWNN77H7UcTeWq8dMBH3f3BVXoB2gW5ASQj5xAQ+NrOAAAgAyVFksu6V9m9qiZTYg1MLMJZjbVzKau1PIKVwfUPXICyEdOoOFV+jXcnu7+mpltIOl2M3vW3e9JN3D3SZImSdK6NtgrXB9Q78gJIB85gYZXUbHk7q+Fv/PN7EZJu0q6J/tWnct6Ft/Flo1HdMFImoe//U40vvqdhZ08kvrTCDlR71797keKYt8e8uto25W+Ohr/4QaPFsUOGXFItO2qWa+2Y3RoL3KicoNeKI79fuHIaNsvDmqNxredUrxTz+f3ibbd6pI3ovGx10UGIunsSL6VsuP6r0XjL5XdQ9fo8NdwZtbfzAbmrkvaT9KMag0MaDTkBJCPnECzqGTP0jBJN5pZrp+r3b3OJ/8BNUVOAPnICTSFDhdL7v6ypOIffwC6KXICyEdOoFnw0wEAAAAZKJYAAAAyVOMXvOvakoN3LordfWF8Zk2j6mUtRbFSs4Sq4UOXTYzGN/3eAzVbJ5pPj4EDo/EPf2p6caxP5dvzcxM3isZHfZPZcKhv600ufm29cfLQaNsbFY+P0uNlr69Utl07PX6mmnP3Ke479r4kST3UmL8MwZ4lAACADBRLAAAAGSiWAAAAMlAsAQAAZKBYAgAAyND0s+Huvei3RbGVjXkwPtCQeg7fMBrf+pb50fh5Gz5Sy+EAaIPtvG00fu1Hi99PJWlNJFbqfXaNrIOj6lrsWQIAAMhAsQQAAJCBYgkAACADxRIAAECGpj/Ae/dphxXF/rPDdV0wksp95PEjo/FHdrq+Zuu86O0ti2LrPcMR8ijmH4mfXH7mN+InT/jrhreW3fd+T38mGv/JFn+OxnfszedAoC0t664bjS/80XvR+A69K1/n3a3F7ymStImerLzzGuIVBQAAIAPFEgAAQAaKJQAAgAwUSwAAABkolgAAADK0ORvOzC6XdJCk+e6+XYgNlnSdpJGSWiUd4e5v126YHTf4mLeKYqN/dFIXjKRy23zrhWh81IVfLIo9+4lL29V3bNabJF1/3n5FsUHXPNiuvptNo+dENcw99SNFsd+dckG0bXtnpo372f8UxXotic/A3PEcPu/VA3Ki/q36xM7FwW/Pi7a9a+vKZ4wf+Owh0fjIL7VG47FTptSTcl5pJkvavyB2pqQ73X1LSXeG/4HuYrLICSBtssgJNLE2iyV3v0dS4e6ZgyVdEa5fISleQgJNiJwA8pETaHYd/VHKYe4+J1yfK2lYqYZmNkHSBEnqq34dXB1Q98gJIB85gaZR8Rf+7u6SSv6ks7tPcvdx7j6ul/pUujqg7pETQD5yAo2uo8XSPDMbLknh7/zqDQloSOQEkI+cQNPo6NdwN0k6VtJ54e/fqjaiKlv9ZmQ23IkPd8FIKhc/w5a09fci5/f5RLztZQs3icb/9KPiWW8SM9/aoWFyoj1Kne/t2lN/VhTbold8j8CLK5dH45+5/H+j8U0vnloUe+uoyEyedtrwwXqfb9N0mjIn6l2p872d/rvJRbHxfVdG265p536Uu9/rW9zHjzaI97341Xb1XS/afETM7BpJD0jaysxmm9nxSjb+fc3sBUn7hP+BboGcAPKRE2h2be5Zcvf4qe6lvas8FqAhkBNAPnICzY5fdAMAAMhAsQQAAJCBYgkAACBDR2fDoY4svKSlKHbTu+tF2/7xuwdF4+v+hVlvKNZjZXwG2Wcmx2eyxYyYsiwa32TK/dF4yR/jqdCAW6Z16vqAWmoZMjgaf+GMraLxPfveWRQrNett5qp4zh788InReOx8bz0XPxpt26jYswQAAJCBYgkAACADxRIAAEAGiiUAAIAMHODdQBb9fVQ0/sD2fymK/XDB1tG2/f/yUFXHhObmjzwZjW/ySCcPpAre2y9+6pa+Nzfm6Y/QvS3dNf5+MOPoCyvuu9SB3JscHn896A4nEmLPEgAAQAaKJQAAgAwUSwAAABkolgAAADJQLAEAAGRgNlwdevcfm0fjt293VTQ+bbkVxe77wk4len+6o8MCGto6/3oiGud0J2hE83fqVXEfBz57SDQeO32J1D1mvZXCniUAAIAMFEsAAAAZKJYAAAAyUCwBAABkoFgCAADI0OZsODO7XNJBkua7+3Yhdo6kr0h6IzQ7y91vq9Ugu5tPj4iff6ePxWc/vOvFs+HWTGPWW62QE0A+cqLzrbvH/Gi8Rzv2gbx630bR+KaLX+3QmJpZOY/qZEn7R+K/cPex4UICoDuZLHICSJsscgJNrM1iyd3vkfRWJ4wFaAjkBJCPnECzq+SYpYlmNt3MLjez9Uo1MrMJZjbVzKau1PIKVgfUPXICyEdOoCl0tFi6RNIoSWMlzZH081IN3X2Su49z93G91KeDqwPqHjkB5CMn0DQ6dLoTd5+Xu25mv5N0S9VG1OBahgyOxm3dgWX3MahlajTey1qi8YE9lhXFeo74YLTtqtdeL3scKB85AeRr1pxY9Ymdo/HVfYr3PfSf/lq8jyq8Dq+JTOyRpDXtOSlJiT5QrEN7lsxseOrfQyXNqM5wgMZETgD5yAk0k3J+OuAaSeMlrW9msyWdLWm8mY1Vcs+HeQYAACAASURBVA7KVkkn1HCMQF0hJ4B85ASaXZvFkrsfGQlfVoOxAA2BnADykRNodvyCNwAAQAaKJQAAgAwdmg3X6HoMjM9MWzV2i4r7nn3qimh82u5/qLjvlR6Pb9+7b1Hs07c/EW37lxP2q3gctdTy4FPRuK+MP64AUAvvHrZbNH7DL86PxtfrUfw6fNnCTaJtZ7wbP83IPdfEZ9opMmnt0jEXxNu2w6gr4rPyVlXcc/NhzxIAAEAGiiUAAIAMFEsAAAAZKJYAAAAyUCwBAABkaPrZcD369SuKvTLxQ9G20yZeVOvhdJrjB70Sj197aSePpH12P3diNL7+pAc6eSQAuovY+d7O/+nF0baDevQuu98vDmqNLygVP+3eaLhHZL9GO84AV9Kql0uMA0XYswQAAJCBYgkAACADxRIAAEAGiiUAAIAMFEsAAAAZmn823LChRbFmmvXWbB48Oz4D5aBJJc6ZBAAVWt2neL/Bjr3bty+hR+wEblXaH1Grvt8+7sPR+NC7Z0fjq2a9WvE6GxV7lgAAADJQLAEAAGSgWAIAAMhAsQQAAJChzQO8zWxjSX+QNEySS5rk7heY2WBJ10kaKalV0hHu/nbthtoxvmhxUWz0zSfVbH2H7fpINP7jYVMr7nurO74SjfuylkgwdkBgbZ2y17+i8atm7loUu2jMNdG2R/0nfh+31GMdH1iVNXpOdFcLjtkpGh9yKafSqVQz5sSadp9QJHZKkmqclKR2fd/3o/iEmp++OSYa/9cZH43G1/n3U0WxNUuXdnxgdaicPUurJJ3m7mMk7S7pa2Y2RtKZku509y0l3Rn+B7oDcgLIR06gqbVZLLn7HHd/LFxfLOkZSSMkHSzpitDsCkmH1GqQQD0hJ4B85ASaXbt+Z8nMRkraUdJDkoa5+5ywaK6S3a+x20yQNEGS+qpfR8cJ1CVyAshHTqAZlX2At5kNkPQXSae6+6L0Mnd3Jd9TF3H3Se4+zt3H9VKfigYL1BNyAshHTqBZlVUsmVkvJQlwlbvfEMLzzGx4WD5c0vzaDBGoP+QEkI+cQDMrZzacSbpM0jPufn5q0U2SjpV0Xvj7t5qMsEKr33yrKDb6xIdrtr4/T9olGv/xp8qfDVdqtt42pz8bja9etCga72zXHbV/ND50WvFzcMK+/xNtu/XvZ0Tjqzs+rKpr9Jzork467cZo/OfDPhONb/yj+2s5nKbS6DnR7+GXimLjp38u2nbK9tfWejhluXTh5tH4lwe9XHHfpw2Jvw4/dtbG0fh70z9QFGu22XDlHLO0h6RjJD1pZtNC7CwlG//1Zna8pFmSjqjNEIG6Q04A+cgJNLU2iyV3v1eKnsVPkvau7nCA+kdOAPnICTQ7fsEbAAAgA8USAABABoolAACADO36UUp0ji2vXBGN18ust1LWvfrBaDw2k23Dp58vuy2aU8v6Q6LxuZevXxT72pbxmWzt8YV1X4vGb/3kC9H4uz+qeJVoELFZ0+v996po2zHnxmfyPnvEryoex7ZTJkTjo8+NvPa/HX8/uHW94nNxStJzJw0tiq3pH3/F7T0vXhps/qPHo/E1y5ZF482EPUsAAAAZKJYAAAAyUCwBAABkoFgCAADIwAHeALrEnCO2isYf3vmimqxv9G0nRuPbnNVak/WhsZWaULPF1+MTWQ76+s4Vr3OU4gdQt2viyxtvRMNbfL34lC7ttabiHhoXe5YAAAAyUCwBAABkoFgCAADIQLEEAACQgWIJAAAgA7PhqmzMefGZCJ+64viy+2iZFj/9QneeiYDmM/zueK6M3u6ksvsYvdXr0fgtW/+tKNbyTvzlbnWJ2UMAkMOeJQAAgAwUSwAAABkolgAAADJQLAEAAGSgWAIAAMjQ5mw4M9tY0h8kDZPkkia5+wVmdo6kr0jKTSU5y91vq9VAG8Wql1ujcXu5/D6Y9VbfyInqWP1MfNbn6K9W3vdBKj5P1yg9UHnHiCIn0OzK+emAVZJOc/fHzGygpEfN7Paw7Bfu/rPaDQ+oS+QEkI+cQFNrs1hy9zmS5oTri83sGUkjaj0woF6RE0A+cgLNrl3HLJnZSEk7SnoohCaa2XQzu9zM1itxmwlmNtXMpq7U8ooGC9QbcgLIR06gGZVdLJnZAEl/kXSquy+SdImkUZLGKvlE8fPY7dx9kruPc/dxvdSnCkMG6gM5AeQjJ9CsyiqWzKyXkgS4yt1vkCR3n+fuq919jaTfSdq1dsME6gs5AeQjJ9DM2iyWzMwkXSbpGXc/PxUfnmp2qKQZ1R8eUH/ICSAfOYFmV85suD0kHSPpSTObFmJnSTrSzMYqmSbaKumEmowQqD/kBJCPnEBTK2c23L2SLLKI38pAt0ROAPnICTQ7fsEbAAAgA8USAABABoolAACADBRLAAAAGSiWAAAAMlAsAQAAZKBYAgAAyECxBAAAkMHcvfNWZvaGpFnh3/UlLei0lXcN7mN92dTdh3b1INLIiabUSPeRnOh63Mf6Es2JTi2W8lZsNtXdx3XJyjsJ9xHt0R0eS+4j2qM7PJbcx8bA13AAAAAZKJYAAAAydGWxNKkL191ZuI9oj+7wWHIf0R7d4bHkPjaALjtmCQAAoBHwNRwAAEAGiiUAAIAMnV4smdn+Zvacmb1oZmd29vprxcwuN7P5ZjYjFRtsZreb2Qvh73pdOcZKmNnGZna3mT1tZk+Z2Skh3jT3sauQE42JnKgdcqIxNXNOdGqxZGYtkn4l6QBJYyQdaWZjOnMMNTRZ0v4FsTMl3enuW0q6M/zfqFZJOs3dx0jaXdLXwnPXTPex05ETDb29kBM1QE409PbStDnR2XuWdpX0oru/7O4rJF0r6eBOHkNNuPs9kt4qCB8s6Ypw/QpJh3TqoKrI3ee4+2Ph+mJJz0gaoSa6j12EnGhQ5ETNkBMNqplzorOLpRGSXk39PzvEmtUwd58Trs+VNKwrB1MtZjZS0o6SHlKT3sdORE40AXKiqsiJJtBsOcEB3p3Ek99oaPjfaTCzAZL+IulUd1+UXtYs9xGdo1m2F3IC1dIs20sz5kRnF0uvSdo49f9GIdas5pnZcEkKf+d38XgqYma9lCTAVe5+Qwg31X3sAuREAyMnaoKcaGDNmhOdXSw9ImlLM9vMzHpL+pykmzp5DJ3pJknHhuvHSvpbF46lImZmki6T9Iy7n59a1DT3sYuQEw2KnKgZcqJBNXNOdPoveJvZgZJ+KalF0uXu/qNOHUCNmNk1ksZLWl/SPElnS/qrpOslbSJplqQj3L3w4L6GYGZ7SvqPpCclrQnhs5R8H90U97GrkBONub2QE7VDTjTm9tLMOcHpTgAAADJwgDcAAEAGiiUAAIAM3bZYMrM+ZnaZmc0ys8VmNs3MDiho8y0z+7GZ9TazP5tZq5m5mY0v0edzZjbazL5pZjNCvzPN7Jtljul7of99CuL7mNljZvaumc02syMKlh9pZleH65PCONaY2XFlPAaXm9kiM5trZt8oWL63mT1rZkvDT9hvWrC8t5ktMLMBbfWFxmBmU8xsmZktCZfnCpb/1swmhOtDzexqM1toZm+b2VUFbdPbx8/CqQ4Wh23qC2WO5/KQE1sUxD9nZs+EnHjJzPYqWN6u3E3dbrCZ3Rj6nWVmRxUsPyrE3zWzv5rZ4ILlHzSz2eX0hfrH+wTvEzndtliS1FPJD599TNIgSd+RdL0lP6SV8ylJt4Xr90r6vJIf1CpiZqMktbj785JM0hckrafkp+0nmtnnsgYTbn+4pDkF8TGSrpb07TDOHSQ9WnDz9DifkPRVSY9lrS84R9KWkjaV9HFJp5vZ/mG960u6QdJ3JQ2WNFXSdQW3/6ikae6+JKsvNJyJ7j4gXLYqWHaA1m5rNyjJh00kbSDpZwVt09vHu5I+rWQbPlbSBWb2kaxBWHKw6KhIfF9JP5H0RUkDw3peLmhWdu4W+JWkFUp+NO9oSZeY2bZhvdtK+q2kY8LypZJ+XXD7AyX9o62+0DB4n+B9IuHuXMJF0nRJnw3X11PyWxAtBW1mSxofue3Jki4s0e+Fki5qY93/UPJC2yppn1T8akk/yLhdDyWzKtYviN8r6bg21vm6pP1S//9A0rXh+gRJ96eW9Zf0nqStU7HzJX2jrb64NM5F0hRJXy6xbHtJ08P1/cK22pLR1/vbR2TZTUrOIVXqtj0lPR7W6ZK2SC27X9LxGbdtV+6mlvdXUtyMTsWulHReuP5jSVenlo0K7QemYjdI+kxbfXFp3AvvE93zfaI771nKY2bDJI2W9FQIfVLJif9Wl9nFgZJujfRrkvZK9Rtb9+GSlrv7bZHFu4c2T5rZHDP7Y8Gu/10lvezuC8ocZ26d60karuQTRs4TknKffLdNL3P3dyW9lFouhftcRl9oLP8v7Da/r+CrhPQ2vruk5yRdYWZvmtkjZvaxgn5K5cQ6knZRRk5I+rqke9x9esFtWySNkzTUkjPSzzazi0OfOe3N3ZzRklZ58qk/JysnXlIoiMLYein5FH17GX2hAfE+Iambvk9QLOn9F7mrJF3h7s+GcHqXZVu376fkxX9KZPE5Sh7n35e47UAln1hPKdH9Rkp2+39Wye7LdSRdlFpe9jgLDAh/F6ZiC5V8rZFbvlD53l8edgf3dPfnyugLjeMMSZsrORfXJEk3h+dayt/WNlKyd+luSRtK+rmkv4Xd8oXbR6HfKHmR/GdsAGa2saQTJH0vsniYpF6SDlPy5jJWyfmnvpNqU0lOLCqIlZ0TSgqlJzw5gWhbfaHB8D7xvm75PtHtiyUz66Fk9/gKSRNTsX219tiDtuytZFfk8oK+Jyr5TvpThctSzpF0pbu3llj+nqTfu/vznnzn+2MllXrOgepYEiwJf9dNxdaVtDi1fF3lSy8/UNLfy+wLDcLdH3L3xe6+3N2vkHSfpAPN7AOStlbyFZiUbJet7n6Zu69092uVHNuxR1ie3j7eZ2Y/lbSdkh+lK/Ujb7+U9H13L3wRzq1XSr6umBM+KZ8f1teR3E1ra5svJyduK7MtGgjvE7xPdOtiKez6vEzJp9XPuvvKsGgXSbPc/Y0yuyraEM3sS5LOlLS3u8/OuO3ekk4OMwPmKjkn0vVmdkZYPl35Jx18/7qZbahkt2Y5B+nlcfe3lRwkuEMqvIPW7gZ+Kr3MzPorOUYjt/z9+1xGX2hcruRA1E9Kuiv1dUPhdqmC/2M5ca6SA8T384KTaxbYW9JPUzkhSQ+Y2VFhW5utEjmh9udu2vOSeprZlqlYVk5sLqlPuJ2Uf5/b6gsNgvcJ3ickde8DvJV8HfCgpAEF8XMlfa8g1kdSXyUv1PuF67lfQG+VtEmq7dFKZkNsU8YYhij5GiN3eVXJbIcBYfmXJM1U8tVIPyU/GX9lWPZFJacCSPfXO4ztPklfCdd7lFj3eZL+reQgxa2VbMj7h2VDlewi/Wzo4yeSHgzL+kl6U1Lfcvri0hgXSR9QUhT1VXKA9dFKZrGNlnSFpC+k2g6W9LaSmW0tSr4We0vJaRxi28e3JL0gacMyxrFBQU64kmMy1gnLv6/k/GEbhO3tPwoHt7Y3dyPrvlbSNUoOVN0j5MC2Ydm2Sr5a2yss/6PWHui6mZJjQsrqi0vjXMT7BO8T7t23WFIyddElLVOyezB3OVrJ9MdxBe1bQ/v0ZaSSrxRmFLSdKWllQb+/SS1/StLRJcbVqtQshxA7V9Ib4XKlpPVC/M+SDitoOyUyzvFh2dGSnkq17SPpciVvAPNUMHNJ0j6SnlWyi3eKpJEhfpCkWwraZvbFpf4v4YXvESW7xd9R8gaxr5I9S3MlbVDQfi8l54BaEnJmr4ztwyUtL8iJs1LLl+RuHxlX4Wy4Xkqm7L8TxnVh7gW5Pbkblp0l6e+ptoOVnKvrXUmvSDqqoK+jQvxdJScDHRziEyVdXNA2sy8u9X8R7xMS7xNyd84NVyjMdnhc0ggv48Exs9OVTMc8veaDy19vTyVvFJt79lcatVj3r5UkfuFvzKAJmdmuSgqBXcts3yXbR3tzt8rrvk3JY9SR40LQYHifKGvdTfU+0bOrB1CHBin5/ZdyX2xbJd1cu+GUNFjSdzs7AYJp6pr7jK5zdjvadtX20d7craYpSmYGonvgfaJtTfU+wZ4lAACADN16NhwAAEBbKvoaLpzT5QIls2Eudffzstr3tj7eV/0rWSXQYYv19gJ3H1rLdZATaCTkBJCvVE50uFgKpx34lZLZMrMlPWJmN7n706Vu01f9tZvt3dFVAhW5w/88q5b9kxNoNOQEkK9UTlTyNdyukl5095fdfYWS3xQ5uIL+gEZHTgD5yAk0hUqKpRFKfhgrZ3aI5TGzCWY21cymrlSpX3IHmgI5AeQjJ9AUan6At7tPcvdx7j6ul/rUenVA3SMngHzkBOpdJcXSa0rOT5OzUYgB3RU5AeQjJ9AUKimWHpG0pZltZma9JX1O0k3VGRbQkMgJIB85gabQ4dlw7r7KzCZK+qeSKaGXu3tjnD0YqAFyAshHTqBZVPQ7S+E8SJwLCQjICSAfOYFmwC94AwAAZKBYAgAAyFDR13CoX6+d8ZFo/E8n/SwaP+mkU6LxPn9/pGpjAgA0gB4t0XDrD3aNxmccd3FRbJ8TToq27XvLwx0fVxdizxIAAEAGiiUAAIAMFEsAAAAZKJYAAAAyUCwBAABkYDZcGXoO37Ao5mvWRNuunje/ZuPo0bdvND7zrB2LYncc93/RtsNb+kXjsw62aHz038scHFDnevSLb/s9Bq0bjT/znU2j8WP3/E9R7JMDn4y2/dJl/xONb/J/U4tivnJFtC2aT88RH4zGVy94Mxr35ctrMg7rGS8BZp69SzQ+/bgLo/H4u2FzYc8SAABABoolAACADBRLAAAAGSiWAAAAMlAsAQAAZGA2XBleOH9YUeyUHe6Ktv3dJZ+ueH0rPrYoGj9gs6ej8Vs2/FUkGp/5U0rL4vi5gIBGtPTQ3YpiW5wRz59LN76tCmuMzyZ98qvF58ySpH0f+kpRrNcdj1ZhHKgntvO20fg3r78mGv/uN4u3C0nqd8NDFY/FP7xDUeyNby2Ltp2+c3zWWymXLty8KDZgxtxo21Xt6rl+sGcJAAAgA8USAABABoolAACADBRLAAAAGSo6wNvMWiUtlrRa0ip3H1eNQQGNipwA8pETaAbVmA33cXdfUIV+6taFu1xbFNt3nfeibU88Mz77pRrmrF4ajY++q/j8U4Pvip9H7sEfxmbOSWuG1ebcQ91U0+dEZ+ux/dbR+LNfjZ/X7cZPFs/m+VDvXu1a51nzd4rGr5+2c/H6xv862vbhZZtF472WrGzXWJpAt8yJ9z7YPxr/cN/46+2QU1qj8SVvxbfFmPmnxt+bHt3l8qLYmiqd1e2KmbsXxdZrfaEqfdcLvoYDAADIUGmx5JL+ZWaPmtmEWAMzm2BmU81s6kqx9wJNj5wA8pETaHiVfg23p7u/ZmYbSLrdzJ5193vSDdx9kqRJkrSuDfYK1wfUO3ICyEdOoOFVtGfJ3V8Lf+dLulHSrtUYFNCoyAkgHzmBZtDhPUtm1l9SD3dfHK7vJ+n7VRtZHTn/2COLYr/4fvxYxV+Ouj4af2NN/PQja7y4Xj35yf+Otu1//aBofIurHywO7vqhaNs318QP/kPlulNO1NKr3/5IUew3x8cPoN6jT6kDVIsP5r7zvT7Rlt875/hofNDVj0Tj2wxuLYod+sPiSRaSNObcV+LDmzM9Hm8y3T0nBkyNP/8Xvh2fsHDdFrfEO7qqGqOp/BDlPy7aOBofemLx+0qjntaklEq+hhsm6UYzy/Vztbv/oyqjAhoTOQHkIyfQFDpcLLn7y5KKz8wHdFPkBJCPnECz4KcDAAAAMlAsAQAAZKBYAgAAyFCN0500PbtvWnFw73jb/938qGh89Suzo3FfVTxnYLieKXtspbS8/W40/u4afsIE9WHNXjtG45O/fEFRbOfeLe3qe6efTiyKjfjnG9G2g56JzCbNsHrBm0Wx0ScWx6TmmxGE9lk1Z240/q8T94rGLzu5eCaoJI1c/62Kx7L4N8Uz2e76xUXt6mPm8qHR+KpX4+9vzYQ9SwAAABkolgAAADJQLAEAAGSgWAIAAMhAsQQAAJCB2XBVturl1q4egiRpyZj1o/FhLb07eSRA3LcnXxGNx2a+PbVyRbTtYdd+PRofNal4BuvqpUvbMTqgdnrcG5lhLWnTe+PtqzGHedCQys8LeuP18Vl8G+n+ivuud+xZAgAAyECxBAAAkIFiCQAAIAPFEgAAQAYO8G5S6/zt4Wj8gfPXicaH38KB36iM9Yy/nMy+fqtofK++j0XjL60qPhD11C+fHG272R0PRONrolEA5bhxyQbR+KaXxE/FtbqWg6kT7FkCAADIQLEEAACQgWIJAAAgA8USAABABoolAACADG3OhjOzyyUdJGm+u28XYoMlXSdppKRWSUe4+9u1Gyaq5YF3t4zG5/7X8mh8i+trOZrGRE7EvfaNXaPxJ3a7uF39fObX3yyKjbij+U+n0MjIifr3wumxWan/jLZdtCY+a3r129336Stnz9JkSfsXxM6UdKe7bynpzvA/0F1MFjkBpE0WOYEm1max5O73SHqrIHywpNxZMK+QdEiVxwXULXICyEdOoNl19Ecph7n7nHB9rqRhpRqa2QRJEySpr/p1cHVA3SMngHzkBJpGxQd4u7tL8ozlk9x9nLuP66U+la4OqHvkBJCPnECj62ixNM/MhktS+Du/ekMCGhI5AeQjJ9A0Ovo13E2SjpV0Xvj7t6qNCDV10MAnovFnN98wGn+jloNpLt0qJ9bsObYodtVXzy/ROn7ewY89eVg0PuInzHxrEt0qJ+rd6n7lnzHxot/HDy/7oLpvbra5Z8nMrpH0gKStzGy2mR2vZOPf18xekLRP+B/oFsgJIB85gWbX5p4ldz+yxKK9qzwWoCGQE0A+cgLNjl/wBgAAyECxBAAAkIFiCQAAIENHZ8Ohydz3zBbR+GhN7eSRoBHMmlg8s2bbXvFZb6W8tST+44MtB8XPMdce/R98qSi2esGbFfcL1Lulh+4Wjb/82d8WxVZ6fH9Jj5VVHVJTYM8SAABABoolAACADBRLAAAAGSiWAAAAMnCANyRJm11T8hyX6M523z4avuXDl0Si67Sr6yc//If4gg+3q5uon721VVHsqt/vG23b9834tr/elQ/HO1+zusPjAmpt7m7xfSArvXi7Xe7xI7lb3uP9oBB7lgAAADJQLAEAAGSgWAIAAMhAsQQAAJCBYgkAACADs+EAlPT6ngOi8VE9y5/59puFm0bjC1YOjMa/s/6Msvtusfjnvf8d/FxR7Iz/fSHadrUXn7pFknb6wMRofMML7i9zdEDnW/WB8mdrTnpnTDQ+9DcPVGs4TYM9SwAAABkolgAAADJQLAEAAGSgWAIAAMhAsQQAAJChzdlwZna5pIMkzXf37ULsHElfkfRGaHaWu99Wq0EC9aQ75cS6+8wtu+3vFm4cjd968C7xGyx4Oxr+r0FblL3OZZsPjcbP+t3kotj4vvHzYJUy9fSLovGtx325KLbFMY+3q+9m051yot7dccD5JZYUz2C99Nr9oy03FjM+C5WzZ2mypNgj+gt3HxsuJAC6k8kiJ4C0ySIn0MTaLJbc/R5Jb3XCWICGQE4A+cgJNLtKjlmaaGbTzexyM1uvVCMzm2BmU81s6kotr2B1QN0jJ4B85ASaQkeLpUskjZI0VtIcST8v1dDdJ7n7OHcf10t9Org6oO6RE0A+cgJNo0OnO3H3ebnrZvY7SbdUbURAAyInpN++sFc0vsELz7avo7fjB37H9Gx9JRr/6dY7F8W+8dVx0bY3n/Z/0fiIln7R+N8/enFR7KRPnBwf312PRuPdQaPnRI++faPxpftuX3Yfvd9eEe/73mkdGlMllnvxBId+c7zTx1ENLVvFJ4Gsfu7Fmq2zQ3uWzGx46t9DJZV/MiegCZETQD5yAs2knJ8OuEbSeEnrm9lsSWdLGm9mYyW5pFZJJ9RwjEBdISeAfOQEml2bxZK7HxkJX1aDsQANgZwA8pETaHb8gjcAAEAGiiUAAIAMHZoNBwD1zFcWz0La8IL4KRy+csGe0bjdNSIa/8fWtxbFPv7L+6Jt/7N9fEYV6ot/ZIei2FYXPRVt+5MNf1V2vy+uXBWNnz9332j83y/HZ3mN/urMotj8w8dE2w5reTAan7e6eCxDLnsg2rbeHXDDI9H4LduW/CmvirFnCQAAIAPFEgAAQAaKJQAAgAwUSwAAABkolgAAADJ0z9lwZvHwuO2i8dmfGFgUG/pE8Xl2JKnP3dPj61xT4hw8PSJjKdE2NsNHkqxX7+LYmFHRtoNb7i1/HOj25i4YVHbbEYMWRuOrS5xja82yZR0aU2d5fsZG0fjqrdZ08khQa9/54xVFsd36xF/j22OLXvG32F9vfHf8BiXiu19xTFFs6bJ3o217WUuJ0cRn5nW2Uud1m/exoUWxnY6Pv58u88VVHVM52LMEAACQgWIJAAAgA8USAABABoolAACADBRLAAAAGbrlbLjWH+4ejT99XPnn/Gmva5cUH+kvSZ8b8EZR7NalA6Jtv/vUwdH41WMvL4pt3St+fiCpXzR69AW3ROM/nPJfRbFe78RnW6yzzTsl1lms/zXxWVYDrys1bnSFLS+Iz6B5ds/lRbG/bVl8zjRJ2uLiCdH4VidOi8Z9VX3M2um30ZKuHgI6yT1Lti6K7dbnyS4YSdyD466suI+NevYpih3xzNz2jWNRfJb13fd+qCj2rQP/Gm07snf8cd2zb/Hs2AvfLn5eJGnKp+Mz16VZJeKVY88SAABABoolAACADBRLAAAAGSiWAAAAMph7idNw5BqYbSzpD5KGSXJJk9z9AjMbLOk6SSMltUo6wt3fzuprXRvsu9neVRh2ZY5/fmY0/tn+mcNH0GLxGnu1l38aiD8tGRKN/36rTTs0pnLcKWdyygAAIABJREFU4X9+1N3HVdpPM+ZEe7101Y5FsefGX9auPs5+Y4do/Kr7P1wU6/9KfC7Kig/EX7/Wfak49vaYeNvDxscnFfx4g8ei8R8uKD649OaLPxZtO+R3D0Tj9YKcSPQcvmFR7Okfxk93Uw2XfCx+wPbH16ndpIIekX0ja1Q/p+4Ze/+XimKbnxE/rcmql1trNo5SOVHOnqVVkk5z9zGSdpf0NTMbI+lMSXe6+5aS7gz/A90BOQHkIyfQ1Nosltx9jrs/Fq4vlvSMpBGSDpaUO/vgFZIOqdUggXpCTgD5yAk0u3b9zpKZjZS0o6SHJA1z9zlh0Vwlu19jt5kgaYIk9S3xGz9AoyIngHzkBJpR2Qd4m9kASX+RdKq7L0ov8+TAp+gBAe4+yd3Hufu4Xir+USygUZETQD5yAs2qrGLJzHopSYCr3P2GEJ5nZsPD8uGS5tdmiED9ISeAfOQEmlmbX8OZmUm6TNIz7n5+atFNko6VdF74+7eajLAGzrjrv6Pxf459Ohp/YPbIopi7tWude27yctlt731l82i83x3x06As3ad2Myh63zewKLam1FZTovRetUvxjIaejxT3K0kf1P3lDq3LNGNOtNfok4qnm+161eeibR/e6dpo/NyhT8TjB8fjne2s+TtF4/d/f7ei2JAb63vWW601ek6smlN82o/Rx7fvVCDtccHAXaPxC1viL6JLPzK6KHbZJb+Ito2d1kSStrrhq0Ux77c62vbPn/h1NH74zf8TjbfHVpcujMY3mVH8/rtqTXx8XaGcY5b2kHSMpCfNLHcyp7OUbPzXm9nxSk7IckRthgjUHXICyEdOoKm1WSy5+72SSu1GabwfiAEqRE4A+cgJNDt+wRsAACADxRIAAEAGiiUAAIAMbZ4brpoa9TxYaA7VOg9WNTVTTvTo2zce/8CgaPyZb20WjR/+0eJztZU6T1spVy4uPtfXuXfFfzx6yGMt0fjQ62ZE42sWx89X1YjICSBfJeeGAwAA6LYolgAAADJQLAEAAGSgWAIAAMhQzi94A0Cb1ixbFo/Pjce3PGVeND4tEjtQ8VOPtMdoPdyu9msqXiOAZsGeJQAAgAwUSwAAABkolgAAADJQLAEAAGSgWAIAAMhAsQQAAJCBYgkAACADxRIAAEAGiiUAAIAMFEsAAAAZKJYAAAAytFksmdnGZna3mT1tZk+Z2Skhfo6ZvWZm08LlwNoPF+h65ASQj5xAsyvnRLqrJJ3m7o+Z2UBJj5rZ7WHZL9z9Z7UbHlCXyAkgHzmBptZmseTucyTNCdcXm9kzkkbUemBAvSIngHzkBJpdu45ZMrORknaU9FAITTSz6WZ2uZmtV+I2E8xsqplNXanlFQ0WqDfkBJCPnEAzKrtYMrMBkv4i6VR3XyTpEkmjJI1V8oni57Hbufskdx/n7uN6qU8VhgzUB3ICyEdOoFmVVSyZWS8lCXCVu98gSe4+z91Xu/saSb+TtGvthgnUF3ICyEdOoJmVMxvOJF0m6Rl3Pz8VH55qdqikGdUfHlB/yAkgHzmBZlfObLg9JB0j6UkzmxZiZ0k60szGSnJJrZJOqMkIgfpDTgD5yAk0tXJmw90rySKLbqv+cID6R04A+cgJNDt+wRsAACADxRIAAEAGiiUAAIAMFEsAAAAZKJYAAAAyUCwBAABkoFgCAADIQLEEAACQwdy981Zm9oakWeHf9SUt6LSVdw3uY33Z1N2HdvUg0siJptRI95Gc6Hrcx/oSzYlOLZbyVmw21d3HdcnKOwn3Ee3RHR5L7iPaozs8ltzHxsDXcAAAABkolgAAADJ0ZbE0qQvX3Vm4j2iP7vBYch/RHt3hseQ+NoAuO2YJAACgEfA1HAAAQAaKJQAAgAydXiyZ2f5m9pyZvWhmZ3b2+mvFzC43s/lmNiMVG2xmt5vZC+Hvel05xkqY2cZmdreZPW1mT5nZKSHeNPexq5ATjYmcqB1yojE1c050arFkZi2SfiXpAEljJB1pZmM6cww1NFnS/gWxMyXd6e5bSroz/N+oVkk6zd3HSNpd0tfCc9dM97HTkRMNvb2QEzVATjT09tK0OdHZe5Z2lfSiu7/s7iskXSvp4E4eQ024+z2S3ioIHyzpinD9CkmHdOqgqsjd57j7Y+H6YknPSBqhJrqPXYScaFDkRM2QEw2qmXOis4ulEZJeTf0/O8Sa1TB3nxOuz5U0rCsHUy1mNlLSjpIeUpPex05ETjQBcqKqyIkm0Gw5wQHencST32ho+N9pMLMBkv4i6VR3X5Re1iz3EZ2jWbYXcgLV0izbSzPmRGcXS69J2jj1/0Yh1qzmmdlwSQp/53fxeCpiZr2UJMBV7n5DCDfVfewC5EQDIydqgpxoYM2aE51dLD0iaUsz28zMeuv/t3fvYVJU577Hfy8wgEAUEAQFEURQ0aic4C2aaIIaJdnHuFU2aqKJJpjEu24VPe4omp3oIaJJNLrJhoD3GDXqPpp4ISrGW8QrKl4RIwgoqIioXN/zR9WY7q7VNd309HR3zffzPP0w89aaVauh3qmX6lq1pHGS7mzjMbSlOyUdE399jKQ7ajiWipiZSZoqaa67T87ZlJn3WCPkRIMiJ6qGnGhQWc6JNn+Ct5mNkXS5pI6Sprn7f7bpAKrEzG6UtK+kPpKWSDpf0u2SbpY0SNJbksa6e+HNfQ3BzPaW9LCkOZLWx+FzFX0enYn3WCvkRGMeL+RE9ZATjXm8ZDknWO4EAAAgBTd4AwAApGi3xZKZdTGzqWb2lpmtMLNnzeyggjbnmNnPzWyEmc02sw/i1/2hh6TFT5wdbmZnmtkLcb9vmtmZJY7pp2bmZrZfQXw/M3vazFaa2QIzG1uw/QgzuyH+eko8jvVm9r0S/g6mmdlHZrbYzE4v2D7azF42s0/ip7JuVbC9s5ktNbMeLfWFxmBmD5rZZ2b2cfx6pWD7f5nZ+PjrvmZ2g5ktj/Pi+oK2ucfHL+On966Ij6mjSxzPtDgntimIjzOzuXFOvGFmXynY3py7nc3sFjObH/ezbwv7621mf4r7fcvMjizYfmQcX2lmt5tZ74LtW5jZglL6Qv0r8zxR0rHGeaJBzxPu3i5fkrpLukDSYEVF47ckrZA0OKfN3yTtLaln3M4UfYZ+sqTnC/obquhBapJ0lqT/JamTpG0VfUY7roXxDFX0Oe87kvbLiY9QNHPgoLi/TSUNLfjZ6yR9J/76BEmjJc2W9L0W9vkLRZ8v95K0vaLnXxwYb+sjabmkwyV1lTRJ0uMFP7+fpPtb6otX47wkPSjpBynb/yFpYPz1w5ImS9pEUpOkkSnHx0RJ28W5trukDyR9uYWx7C3pIUXTjLfJie8f59QecX8DJA0o+Nnm3O0s6dT460WS9m1hnzdK+oOkHvHPLJe0Q7xth/h3xFfj7TdIuqng538g6b9b6otXY7xU3nmixWNNnCca9jxR8wHU00vS85IOjb/uFR98HQvadIoPtE8K4idL+nWRfn8t6Tct7PsvksZIml+QBDdIuijl5zooulGwT0H8byUkwTuSDsj5/qLmX/6Sxkt6NGdbd0mfStouJzZZ0ukt9cWrcV5KKZYk7aT4PwmSDoiP1Y4pfX1+fAS23aloWYRiP9tJ0jPxPguLpUclHZfys8Vyd4FSiqX4GF8taXhO7FpJF8df/1zSDTnbhsbtv5ATu03Sv7bUF6/GfZV4nggea5wnGvc80W4/hitkZv0kDZf0Yhz6hqK1bNbltPlQ0meSfqPoF2euMZLuCvRrkr6S029o34dLWuXudwc27xG3mWNmi8zsuoJL/7tJmufuS1t4i4X77CVpc0nP5YSfU/S/Z8V/fr7N3VdKeiNnuxS/5xL6QmP5RXzZ/JGCjxJyj/E9JL0iaYaZLTOzJ81sn4J+iuXERpJ2VUpOSDpN0ix3f77gZztKGiWpr0WLrC4wsyviPpslcrdEwyWtdfdXc2JpOfGG4oIoHluToqtO95XQFxpQKeeJFnCeaNDzBMWSPv8ld72kGe7+chz+pqS8g9Ldeyr6yOFERf/rbf75bop++T8Y6P4CRX/Pvy+y7y8oKrxOKTK8gZK+K+lQScMkbaSoWGuWGGeJesR/Ls+JLZf0hZzty5Xv8+1mNlRSJ3d/pYS+0DjOlrS1oo+2pkj6n/jfWso/1gYqurr0gKT+ki6VdIeZ9ZESx0ehqxX9krwnNAAz21LS8ZJ+GtjcT9FHfocpOrnsomhJhfNy2lSSEx8VxErOCUWF0nMerYnVUl9oMKWeJ1J+nvNEel91rd0XS2bWQdHl8dWKiqDm2P6KLnnmiSvnqyVdY2abxeHRii5Friro+0RJR0v6ZuG2HBdIutbd5xfZ/qmk37v7q+7+saKEGZOzfYw2LAk+jv/cOCe2saLP45u3b6x8udvHSPpziX2hQbj7E+6+wt1XufsMSY9IGmNmPRXdc/Ro3PRTSfPdfaq7r3H3mxSt57VXvD33+PicmU2StKOi56wUe27J5ZIudPfCX8LN+5WijysWxf9TnhzvLzV3S9DSMV9KTtxdYls0kHLPE0Vwnkjvq66162IpvvQ5VdH/Vg919zXxpl0lveXu7xX50Q6SuumfizsmDkQzO1bSBEmj3X1ByjBGSzo5nhmwWNFj/m82s7Pj7c8rfx2dz782s/6KLms+nfpGA9z9A0U3Ie6cE95Z/7wM/GLuNjPrrugejebtn7/nEvpC43JFExu+IemvOR83FB6XKvg+lBMTFd2AeoAXrBdVYLSkSTk5IUmPmdmR8bG2QEVyQi3nbppXJXUys2E5sbSc2FpSl/jnpPz33FJfaBAVnCcKcZ5o5PNErW+aquVL0RWixyX1KIhPlPTTnO/3V3Spv6OiSvjXim5U6xpvny9pUE77oxTd5b99CWPYVNHHGM2vtxXNLOgRbz9W0puKPhrppugpqNfG276v6Om2uf11VjQr4RFJP4y/7lBk3xcrmm3US9FVg0X65yyHvooukR4a93GJ4lkO8TiWNb//lvri1RgvRbM+vxH/e3eKj+OViu7RmCHp6Jy2vRXNaDsmzovDJL2vaHZM6Pg4R9JrkvqXMI7NCnLCFd2TsVG8/UJFS2JsFh9vDyu+ubUwd+NYl/g9LVD00WFXxQ/kDez7JkWz2LorukpWOBvuI0Uf/3VXNLuo+UbXIYruCSmpL16N81KJ54mWjjVxnkjtq95fNR9Azd64tFX8S/gzRZcHm19HKZpOOSqn7eGSXo63v6foBr2d4m07SnqhoO83Ja0p6PfqnO0vSjqqyLjmK2eWQxybGO/3PUWXgnvF8VskHVbQ9sH4feW+9o23HSXpxZy2XSRNU3QCWKKCmUuKpny+rOgS74OKp8sqmj77/wrapvbFq/5f8S++JxVdFv9Q0Qlif0VXlhZL2qyg/VcUTWP+OM6Zr6QcHy5pVUFOnJuz/ePmnw+Mq3A2XJOk38ZjXKzoPy/N/3HJy904Nj+QE83H8rmS/pzTtrei5SdWKnpMwpEFfR0Zx1cqWt+qdxw/UdIVBW1T++JV/y+VcZ5IO9bEeaKkvur5xXInBeLZDs8oem5Li385ZnaWoumYZ1V9cPn77aToRLG1p3+kUY19/1ZR4v+2LfeL2jCz3RQVAruV2L4mx0e5udvK+75b0d/RhtwXggbDeaKkfWfqPNGp1gOoQ5soev5Lqb9s50v6n+oNp6jekv6jrRMg9qxq855RO+eX0bZWx0e5uduaHlQ0MxDtA+eJlmXqPMGVJQAAgBTtejYcAABASyiWAAAAUlR0z5KZHSjpV4qmDv+3u1+c1r6zdfGu6l7JLoENtkIfLHX3vtXcBzmBRkJOAPmK5cQGF0vxGk1XKppavEDSk2Z2p7u/VOxnuqq7drfRG7pLoCL3+y1vVbN/cgKNhpwA8hXLiUo+httN0uvuPs/dVyt6ANvBFfQHNDpyAshHTiATKimWBih6imizBfrn8h+fM7PxZjbbzGavUbFlb4BMICeAfOQEMqHqN3i7+xR3H+Xuo5rUpdq7A+oeOQHkIydQ7yoplhYqWsyv2cA4BrRX5ASQj5xAJlRSLD0paZiZDTGzzpLGSbqzdYYFNCRyAshHTiATNng2nLuvNbMTJd2jaEroNHd/sdVGBjQYcgLIR04gKyp6zlK8aCQLRwIxcgLIR04gC3iCNwAAQAqKJQAAgBQUSwAAACkolgAAAFJQLAEAAKSgWAIAAEhBsQQAAJCCYgkAACBFRQ+lBID2plP/fonYK/8+JNj2kK8/EYxP6v9MIrbt738cbDv4/zxWxugAVANXlgAAAFJQLAEAAKSgWAIAAEhBsQQAAJCCYgkAACAFs+EAtGvLjtszGP/mybOC8dM3vT0R62ady9rnGi+rOYAa48oSAABACoolAACAFBRLAAAAKSiWAAAAUlR0g7eZzZe0QtI6SWvdfVRrDApoVOQEkI+cQBa0xmy4r7n70lboBzXUaeCAYNxXfpIMbrFZWX2vf/XNZL9rVpfVR4MhJ2qs4zbJtdp2vfXVYNszN70sGO9iTcH464GpbH/+eFiw7Um9XgvGv//W6ESs79Prg20zgpyosQ5duyZir08cGWy72c5LgvGex30WjK9d+M6GD6xB8DEcAABAikqLJZd0r5k9ZWbjQw3MbLyZzTaz2Wu0qsLdAXWPnADykRNoeJV+DLe3uy80s80k3WdmL7t73pPc3H2KpCmStLH15lFsyDpyAshHTqDhVXRlyd0Xxn++K+lPknZrjUEBjYqcAPKRE8iCDb6yZGbdJXVw9xXx1wdIurDVRoaKfHLI7sF41/fDN1aP+vXfg/EHFg9PxP6yw7VljWWHP5+QiG1z3dpg2w4PPVNW3/WEnGh78y8KL1Vy+3cvTcS2aepSpJfwjdxfevI7wfjA45clg6vXBNvO7LZdML7+w+WJWPeVTxQZX+Nq7zmx/Kg9gvHtT3oxGH/7nPBEgY4PPF3xWF6ZtHMiNu/Qq8rqY4+v/SgY3+S67N/gXcnHcP0k/cnMmvu5wd3/0iqjAhoTOQHkIyeQCRtcLLn7PEnJUhVop8gJIB85gazg0QEAAAApKJYAAABSUCwBAACkaI3lTtBG3pgUnvnzs/99UyK2XefwzJqVHp75M7JzeHbaeX2eT8QCqz2kevGgKxOxk7749WDbBeHJI2hHVoxLHgQX/GxqsO2uXR4Nxnt0KDbzLWnUpJOC8QFT5wTj61asKLlvffBB6W2ROT1fCh8rlw+8Nxh/4nePB+Mn3PKDkvd58r/cHYwfvcnlgehGwbafrA/Pmu68ItNL8qTiyhIAAEAKiiUAAIAUFEsAAAApKJYAAABSUCwBAACkYDZcA5l75BXB+BpfF4hakV7Cs97a2uwbdwrG+ys8uwntx/anvpCIfW2jz4q0Ds96+/uq5PF/1tk/DrYdcE9yf1KZs96AAH8mvAbc1y88PRg//Yybg/HXji59Dbe5qz8Jxi9fNioRO7/vS8G2O9zzk2B8+B3hNUTbA64sAQAApKBYAgAASEGxBAAAkIJiCQAAIAU3eDeQbw34UjDeaeCARGzeZb3L6vvsL94TjH9v43fL6qdUo45ILqMiSQt+VZXdoYY6jhgejA+e8Y9g/ML+oWOxa7DtDrOODca3uTB5k2uPueElgELTI4Bq6jPlsWD8umuGheNNI0rvfH14SZLdHv2w5C62uq3YBKH2iytLAAAAKSiWAAAAUlAsAQAApKBYAgAASEGxBAAAkKLF2XBmNk3StyS96+47xrHekv4gabCk+ZLGuvsH1Rsm0qxdsDARG3R4MiZJHx++ezC+xcjwP19oKZXw8irF/Xxpchbf4nHFZut9XFbftUBOhL1/7J7B+H+cMyMYP6hbseVEkjPfRjx0XLDlsJ+8GYyv+3B5kb5RDeRE61j/WZFlfYrFQ33sMzIYP7X3lYnY1vedGGw7/N7ngnEveRTZU8qVpemSDiyITZA0092HSZoZfw+0F9NFTgC5poucQIa1WCy5+yxJ7xeED5bU/N/FGZK+3crjAuoWOQHkIyeQdRv6UMp+7r4o/nqxpH7FGprZeEnjJamrum3g7oC6R04A+cgJZEbFN3i7uyvlo0x3n+Luo9x9VJO6VLo7oO6RE0A+cgKNbkOLpSVmtrkkxX9WZ00MoHGQE0A+cgKZsaEfw90p6RhJF8d/3tFqI0JRxWY5zDu49P+J3XpIePG14U3F1gLqmIjMXRNu+W+3nRyMd/9HsibvP//RIvtrWO0qJzpun1zD6rDT7g+2LT7rLezqD7dOxDb560bBttY1vGacxGy4OtCucqJerD2v8NaxSBdLnu63ujH5+12SfM3qVh1TFrR4ZcnMbpT0mKRtzWyBmR2n6ODf38xek7Rf/D3QLpATQD5yAlnX4pUldz+iyKbRrTwWoCGQE0A+cgJZxxO8AQAAUlAsAQAApKBYAgAASLGhs+FQRLEZa5/17hyMf/mnTyRiI7u9FWy7decng/Edm8pZsafYrLfS/eiiU4LxodMeq7hvNIZdb3opETu998ut0vePes5LxiZeEWw7+ZTtgvHrZuyfiG32zKpg204znypjdEB96Nhvs2D8hm2vD8b3efbYRKz3X8LnFCRxZQkAACAFxRIAAEAKiiUAAIAUFEsAAAApuMG7lfX7xZvB+JRB91bcd5OFH02/xtdV3Hc5NlrWtvtD7Sz74Z7B+OmbTg5Ew5MYqqnYTeWnn5aMv7n2s2DbcRf/ezDe9yomLKBOdEj+7n/lnOSyQJK0eacewXjPSd1bdUjtDVeWAAAAUlAsAQAApKBYAgAASEGxBAAAkIJiCQAAIAWz4VrZ32dtH4xPOujdYPzcPnNK7vvGFf2C8UFN7ydie3VdU3K/aUIz8BZ9OTwrb+s7WmWXqCPfPHFWMN7NkjPfngqvJqI31oSXZRjbI5wTI39zUiK28fz1wbZ+zHvB+IwR1yRiQzp1Dba9acIvg/FxYpYc6kOnLfonYm+MvTrY9taPNw7Gm15emIgxr7l0XFkCAABIQbEEAACQgmIJAAAgBcUSAABAihaLJTObZmbvmtkLObELzGyhmT0bv8ZUd5hA/SAngHzkBLKulNlw0yVdIalwesll7h6eRlJHOg3ZKhHrdf3yivv9YGx4nZ0hE8IzZZ649ovB+Oht9i55n90WfhKMr9uoKRFb1TsZk6TzJ08Nxvfs8mnJ47jg2zcH49ecvWXJfTS46WrgnAhZdlx4DbgzN72syE8kj6+j//79YMted4Vz5ZK+FowPuuaVRGzd0mXhYdwUDo/7cXImW7FZb8VmyZ11arjza/+0WyK2dvGS8EDaj+nKWE7Uk1dOK/136+UTjgjGuy15orWG0y61eGXJ3WdJSs5NB9opcgLIR04g6yq5Z+lEM3s+vvzaq1gjMxtvZrPNbPYaFXkQC5AN5ASQj5xAJmxosXSVpKGSdpG0SNKlxRq6+xR3H+Xuo5rUZQN3B9Q9cgLIR04gMzaoWHL3Je6+zt3XS/qdpOSH+EA7Qk4A+cgJZMkGLXdiZpu7+6L420MkvZDWvpbmHTMgEXtq0B8r7nfSXbsE49fM/GrFfRdlPcJxL72LTTuEbxKXwjfbojSNlBMhHw0Nx7tYeKJASN9bNwrGe/wxPOmhZ5F+WmMJhtCSJMWWL/njhEnB+KE9lgbjE49P/mUNmtjub/BOaPScqAXfc+dg/PGxyYty0z8aEmzb457wX3NowaAO3boF21qnyldCW7nPdsH4eztV3neHIr8kBlz8aMV9F9PiqM3sRkn7SupjZgsknS9pXzPbRdFper6k46s2QqDOkBNAPnICWddiseTuoXmI4fnnQDtATgD5yAlkHU/wBgAASEGxBAAAkIJiCQAAIEXlt6XXiU8O2T0YH3vIQ1XZ37l95gTjZ459tir7k6Qm6xiMr/Fy5g+VN+tt1medE7Grzj0s2La7eJx+e9bzqfCMsLVtPI5iQjPkJOkH/3pUMH7viNuC8Uu+Mz0Ru/qKPYJt1y3jodYo3Wvjw6fkPh2TSwY9VmQK6wd/3Lzk/V04/I5g/IBua0ruo7hZZbW+ZNmwROyR98PvccnU8EzAauLKEgAAQAqKJQAAgBQUSwAAACkolgAAAFJQLAEAAKTIzGy4xYevCsbP3vSZNh5Jtlx08rGJWPe7mPWGpHW9i6xdOK9tx1FtB3VbkYidd0x4HazNJ1dvrSrURsdttwnGXz5500TMu4Xngl63z++C8b26lj6b+r8Ghmd3amDJXWjmp+EZ1lOX9w/Gf/bwvwTjTe8nS4mmj8IzrwffuDAYX780OXN0/YrFwbY9FY5XE1eWAAAAUlAsAQAApKBYAgAASEGxBAAAkIJiCQAAIEVmZsN1e7JbMN60T/hu/0oVW6etmlpjn3s9Oy4YX/FJ12B80F1PVrxPtA/vnBdeo3DLEwcE4+sWh9eS69AjuQ7Wug+XlzWWjn37JmJrtgtPE/rxVuE14Ip5ZvX6RGyLh5Mz5CTJy+oZtbLy0OTaov1PfSPY9pJB04PxoU3J2aDF1u0sFv/h218Lxh+al5yB52+Hz3kDHih9Ncbuz4dnpq1d+E4wPlyVnw/qZa3IcnFlCQAAIAXFEgAAQAqKJQAAgBQUSwAAAClavMHbzLaUdI2kforuV5zi7r8ys96S/iBpsKT5ksa6+wfVG2q6gbeHb1Tb86MTE7HTzro52LZvx4+C8b27rix5HMVu3CvH7NWdg/F31vQKxteVUfP2OTU8vl6vzSm5j/auUXKiHFvevzoYf/Ooz4LxIZ2SEwKe2vW6cOdFVsfZ5fGjg/EDB89NxG57dlS4kyJ+9dUbErHQMiVpiuXyv838SSI2/MnZZfWdNY2eE4NOfzURW6/wch0HPpI8p0hSj0eTN1z3mfNpsG2Hh4otwxU+1wzRc0XaV6ZRb7auhVLOsmslneHuIyTtIekEMxshaYKkme4+TNLM+HugPSAngHzkBDKtxWLJ3Re5+9Px1yskzZU0QNLBkmbEzWanW80BAAAGc0lEQVRI+na1BgnUE3ICyEdOIOvKes6SmQ2WNFLRhfV+7r4o3rRY0eXX0M+MlzRekroq/FwIoFGRE0A+cgJZVPLNLmbWQ9Ktkk5197ybe9zdVeT5a+4+xd1HufuoJnWpaLBAPSEngHzkBLKqpGLJzJoUJcD17t78uNslZrZ5vH1zSe9WZ4hA/SEngHzkBLLMomI/pYGZKfqs+X13PzUnPknSMne/2MwmSOrt7mel9bWx9fbdbXQrDLs6Ou6wbTD+6rHhWWjVMuT2VcF4h4eLzaBAKe73W55y9/KmVQW0p5xY+/UvBeOXTbsyEdu+qanaw6mK9UouXyJJly7bMRh/aKeNqjmcNkVOAPmK5UQp9yztJem7kuaY2bNx7FxJF0u62cyOk/SWpLGtNVigzpETQD5yApnWYrHk7n+TijxwQqL8R7tDTgD5yAlkHU/wBgAASEGxBAAAkIJiCQAAIEVZD6XMunUvvhKMDz2jjQcC1IlOf30qGD9z8B6J2D/O/3Kw7R++PzkYLzZ77oh530jEbtz6nmJDDLpzZXIG64Tbjwq27bo0fKvNFv/30bL2CSC7uLIEAACQgmIJAAAgBcUSAABACoolAACAFNzgDaBVDJoYviH6zInJm8HTLU1EvqXwsivl2FqPVdwHgPaJK0sAAAApKJYAAABSUCwBAACkoFgCAABIQbEEAACQgmIJAAAgBcUSAABACoolAACAFBRLAAAAKSiWAAAAUlAsAQAApGixWDKzLc3sATN7ycxeNLNT4vgFZrbQzJ6NX2OqP1yg9sgJIB85gawrZSHdtZLOcPenzewLkp4ys/vibZe5+y+rNzygLpETQD5yApnWYrHk7oskLYq/XmFmcyUNqPbAgHpFTgD5yAlkXVn3LJnZYEkjJT0Rh040s+fNbJqZ9SryM+PNbLaZzV6jVRUNFqg35ASQj5xAFpVcLJlZD0m3SjrV3T+SdJWkoZJ2UfQ/iktDP+fuU9x9lLuPalKXVhgyUB/ICSAfOYGsKqlYMrMmRQlwvbvfJknuvsTd17n7ekm/k7Rb9YYJ1BdyAshHTiDLSpkNZ5KmSprr7pNz4pvnNDtE0gutPzyg/pATQD5yAllXymy4vSR9V9IcM3s2jp0r6Qgz20WSS5ov6fiqjBCoP+QEkI+cQKaVMhvub5IssOnu1h8OUP/ICSAfOYGs4wneAAAAKSiWAAAAUlAsAQAApKBYAgAASEGxBAAAkIJiCQAAIAXFEgAAQAqKJQAAgBTm7m23M7P3JL0Vf9tH0tI223lt8B7ry1bu3rfWg8hFTmRSI71HcqL2eI/1JZgTbVos5e3YbLa7j6rJztsI7xHlaA9/l7xHlKM9/F3yHhsDH8MBAACkoFgCAABIUctiaUoN991WeI8oR3v4u+Q9ohzt4e+S99gAanbPEgAAQCPgYzgAAIAUFEsAAAAp2rxYMrMDzewVM3vdzCa09f6rxcymmdm7ZvZCTqy3md1nZq/Ff/aq5RgrYWZbmtkDZvaSmb1oZqfE8cy8x1ohJxoTOVE95ERjynJOtGmxZGYdJV0p6SBJIyQdYWYj2nIMVTRd0oEFsQmSZrr7MEkz4+8b1VpJZ7j7CEl7SDoh/rfL0ntsc+REQx8v5EQVkBMNfbxkNifa+srSbpJed/d57r5a0k2SDm7jMVSFu8+S9H5B+GBJM+KvZ0j6dpsOqhW5+yJ3fzr+eoWkuZIGKEPvsUbIiQZFTlQNOdGgspwTbV0sDZD0ds73C+JYVvVz90Xx14sl9avlYFqLmQ2WNFLSE8roe2xD5EQGkBOtipzIgKzlBDd4txGPntHQ8M9pMLMekm6VdKq7f5S7LSvvEW0jK8cLOYHWkpXjJYs50dbF0kJJW+Z8PzCOZdUSM9tckuI/363xeCpiZk2KEuB6d78tDmfqPdYAOdHAyImqICcaWFZzoq2LpSclDTOzIWbWWdI4SXe28Rja0p2Sjom/PkbSHTUcS0XMzCRNlTTX3SfnbMrMe6wRcqJBkRNVQ040qCznRJs/wdvMxki6XFJHSdPc/T/bdABVYmY3StpXUh9JSySdL+l2STdLGiTpLUlj3b3w5r6GYGZ7S3pY0hxJ6+PwuYo+j87Ee6wVcqIxjxdyonrIicY8XrKcEyx3AgAAkIIbvAEAAFJQLAEAAKSgWAIAAEhBsQQAAJCCYgkAACAFxRIAAEAKiiUAAIAU/x+1hyslx5V5ZAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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gF4RtzfuEz/Bq4PyCZY8HTiacIl9A+P4+28b3U/pOv0n4Plck9P1ZJTP9ReCu+O/8WM+S5Lrs7tcQTk3fTfhxtSGhMX4tYf0o9wPCdnE5QuPqZ8TPotq8rHJ7K11Aqce/SJcWO1dOA05199SGq27F02nTCCOkTujs+qSY2W8JHelXSjRKRbocM/s94ZpU17p79vRrq9fl2BXgtfjvl919bE0qK12eOnhLvRhMGCF1dXMF69BgwhW7r+vsihR4DviGGkq1Y2arAjdUmDzFQ98xaSELFyv9DOGCp07+qJDWZWkxHVkSEekEZUcpylUzWlYSLNyc+gjCKcQz3P3CGs57BDqy1C2psSQiIiJSQB28RURERAqosSQiIiJSQI0lERERkQJqLImIiIgUUGNJREREpIAaSyIiIiIF1FgSERERKaDGkoiIiEgBNZZERERECqixJCIiIlJAjSURERGRAmosiYiIiBRQY0lERESkgBpLIiIiIgXUWBIREREpoMaSiIiISAE1lkREREQKqLEkIiIiUkCNJREREZECaiyJiIiIFFBjSURERKSAGksiIiIiBdRYEhERESmgxpKIiIhIATWWRERERAqosSQiIiJSQI0lERERkQJqLImIiIgUUGNJREREpIAaSyIiIiIF1FgSERERKaDGkoiIiEgBNZZERERECqixJCIiIlJAjSURERGRAmosiYiIiBRQY0lERESkgBpLIiIiIgXUWBIREREpoMaSiIiISAE1lkREREQKqLEkIiIiUkCNJREREZEC3b6xZGafN7PnzWyOmb1iZjtlpn3fzH5hZiPMzM3sw8zjR2Xz6WNm081sgJn9xsxeMrPZZvaCmR1eZV0ujstZt9o6ltWzj5ldZ2aT4nzGNLO8QWZ2Q5zv62Z2WNn0w2J8jpn908wGlU1fzcwmx+eXm9kUM5tlZhPN7Ohq3rN0LXFdv8XMZprZVDM7z8x6ZaYfamZXmtkQM/uvmc0ws/fN7CEz2yExv9vNbA8zO8LMHovrx2Qz+3V2vgX1OTyuy0eXxbc0s/tiLk4zsxPLpn/CzB6Mz39mZk+b2SIzO6OZ5ZmZnRnf14z43DLTR8X3MTf+HZWYx4tmNtLMTjazV+N7ftvMzq3mPUvXo/2E9hO4e7d9AJ8CXge2IzQchwHDMtMfAHYERgAO9CqY1+7AnfH5T4AN4jy3BWYC2zdTlx2Be+Ny1q22jmX17AOcFJ9PAcY0s8yrgGuAAfE1HwAbx2kbA7OBneP0K4Gry15/NHBhpvwy8fkGwFRgq87+jvVo2QO4BRgL9AVWAZ4GvpmZfjnwxTh9/bhOGnAA8F42R4D+wAxgGeB4YKe4jg4DHgNObaYuKwIvAM8AR2fiQ4B3gC/EeQ8ENix77c+BH8bnRwB7Af8CzmhmmccCLwLDYz2fA46L0/rEXDw5Lveb8f8+mdevA7yceb5CfD4IuBv4Vmd/x3q0OCe0n9B+ots3lh4EjqowbcW4Qe5ZZRKcU2lDCNwInFLw2l7AE8BmiSSoWMfyepbFJxclAWFHtgAYmYldBvwqPv8FcGVm2jqx/MBM7Hrgs4l5rx+T8JDO/o71aNkDeB7YO/P/WcBf4vMewDRgSNlregD7xnV35Ux8P+DGCsv5FnBTM3X5M/A1YBxNG0u/AC5r5rWPA1uWxS6n+cbSg8Axmf+PAh6Oz/cA3gIsM/0NYM/M/98Efp+Y72DgTuD8zv6O9WjZQ/sJ7SfcvfuehjOznsBoYCUzezmeGjjPzPrFIp8G7nL3xZmXvR7LXWJmQ8pmuTfw78Ry+gFbA88WVOdk4D53n9DCOlaqZzVGAovcfWIm9hSh5U/8+1Rpgru/QkyaWLfehF8Td2Tqe76ZzSUcDZhCOEoh9eW3wOfNbFkzG0Y4InNbnLYN8Kq7Ty8VNrMJwEeEDf2F7v5OZl7JnIh2piAnzGwbwrr/58Tk7YD3zOxBM3vHzG4yszUyr10VGErYsbRUk/WefE5M8LiljyZkpkPZe46nKGYB04HNgb+0ok7SSbSf0H6ipNs2lggb097AQYTTA6OALYAfxumfYemXOJ2wIq8JbEU47H9FaUZmtg7h18SLieX8mbAy3Z6qhJmtTjj0/+NW1LG8ni0xAJhVFvuA8N5K0z8omL4z8JS7zy5NdPevxek7EX5NzG9FvaRz3UfYAM4i/OocD/wzTsuta+6+GbAccBjhMH/W3uXlAczsK4SN+29SFYgb//OBE9x9SaLIcMKptROBNYDXCKcKssu9raxRU63y9f4DYEDst1SYE2a2LGE7Ma400d2vdPflCDuPPxOOzEn90H5C+wmgezeW5sW/f3D3KfHX8jnA3mbWg3AO+DYAd//Q3ce7+yJ3nwacAOxhZqUVYm/g1vIFmNlZwCaEw4yVNty/BX7q7uUrXGEd4/yb1LOFPiTs5LKWI5x/rmZ6ckfo7ovd/QHCDu34VtRLOklcn24jbMD6E/oGrQicGYtU+s4/cvergFPNbPM4r02BD9z9zbJlHAD8Etgre4SqzNcIR3AerjB9HnCDuz/q7h8R+n5sb2bLF9WzSuXr/XLAhzF/m8uJ3YAH3T238Xf3lwhHDc5vZb2kc2g/of0E0I0bS+4+k/DLObtylp5vDbzu7u9Wenn8W/r8ciuEmf2EcApjD3cvb5ln7QacZWHk0dQYe8jMDmumjtXUs8hEoJeZrZeJbc7Sw8DPxv9L72dtQqfW0uHY5nZIvQjnr6V+DCIcqTnP3ee7+wzgEsKOYRVgVUJfoEp6A2vH56mc2BP4K7Cvuz9dMJ/dgAMzObE9cLaZnRenT6BCTsTD/ruQOezfQk3We/I5sVk8ylSyWWa6cqLBaD+h/cTHOrvTVGc+gJ8CjwIrE35B3w/8jPBL9ceZctuydOTPYMLIgHvitGUJI376Zsp/H3gJWKWKOqxMGHVUejihT0a/ojrGaU3qGWPLEEYqTSZ0SO1LpkNqWdmrCacv+gM7kB/lMItwqLQ/oXPs1XHaWoS+K9n38HnCIdmehPPjc4D9Ovs71qPFOfEqcCphI7YCcANhhMuXgYsz5bZj6ciafsD3CL8mV4vT7wV2zpT/ZMyTnauowwplOfEgoUP48pl5zSScbugNnAvcH6ftCtxdNr/eMQ+uJIyS60tZR9dM2eMIndyHAasRdgblo+FOjHl2ApnRcMAkYI3MvI4mdngHNorzOqezv2M9WpwT2k9oP9HtG0u9CYfF3ycMYfx9XGnGA6Mz5Q4l9IuYQ+iQ9rfSCg7sA9xcNl8nnIf9MPM4LTP9Q2CnCnUqH+WQrGOc1qSeMTYpziP7GBGnnQbcmik7iNAfZQ5hVM9hZfM6LMbnEIZdD4rxEwhHH0rlViLsHN+PifM08NXO/n71aFVOjCL0uZlJ6IPxd0KfiOuAgzLldiH0sZhNuGTAx40jQmPnXZpeRuAeYFFZTmTXxVuzOVJWp3FkRsPF2PGEkWkzgZuA1WP8N8C3y8qOTeTEkXHaToTTbKWyBvw6vqf34vPs6LctCJc9mEc4yrZFjG8CPFO23EsIfZTmxLw8i8zOUo/6eFTaBpdvf9F+oqH3ExbfhERmVhpFM8yr+HDM7HzCRrJD+yK0tJ41XvYthCSoi1EM0jYWLqQ4FVjbi08VlMofQmhYHdLulcsv+7m47Oc6eLnfJVxS4bsduVzpHNpPVLXshtpP6GqyecsTrnVR7Yr1JOGXbUdraT1raRzhSIF0D4OAH1XTUIreJ5wa61Bm1gf4W0c3lKJJdM52QDqH9hPNG0cD7Sd0ZElERESkQLcdDSciIiJSjTadhotDgX9H6Nl+obv/qqh8H1vG+9K/LYsUabXZzJzu7iu15zKUE1JPlBMiTVXKiVY3luJVdv9IuNjVZOBRM7uxqL9AX/qzre3W2kWKtMmdft3r7Tl/5YTUG+WESFOVcqItp+G2Idxd+1V3X0C4FsP+bZifSL1TTog0pZyQhtCWxtIwIHsrg8kx1oSZHWNm481s/ML6uAWMSGspJ0SaUk5IQ2j3Dt7ufoG7j3b30b1Zpr0XJ9LlKSdEmlJOSFfXlsbSW8Dqmf+Hx5hId6WcEGlKOSENoS2NpUeB9cxsrXgxuM8DN9amWiJ1STkh0pRyQhpCq0fDufsiMzsBuJ0wJPRid3+2mZeJNCzlhEhTyglpFG26zlK850tD3PdFpBaUEyJNKSekEegK3iIiIiIF1FgSERERKaDGkoiIiEgBNZZERERECqixJCIiIlJAjSURERGRAmosiYiIiBRQY0lERESkgBpLIiIiIgXUWBIREREpoMaSiIiISAE1lkREREQKqLEkIiIiUkCNJREREZECvTq7At1Gj57JcM8N1snFXjh2ULLsyMvnJONv7TowF5szbEkLKgerrf9OMv7AZtfnYmvdflSy7L27/S4ZX6PXgKrrsfb1xybj653wv6rnISIiUks6siQiIiJSQI0lERERkQJqLImIiIgUUGNJREREpIAaSyIiIiIF2jQazswmAbOBxcAidx9di0o1ojd+tG0yPuGYP1Q/k4NqVJkWWOj52OO7p+v8XoUBeK8s/DAX2/Oa7yTL9l5YddW6pO6cEz0Hp0dxLhmxajL+0SrLJuPLfffNXOyGdW9JL9PSv/f+/P6wXOzXj+yZnsfUPsn4yL+8nYwveu31ZFzSunNOtNTUE7dPxn3XmfnYAysmy5593F+T8T2WzW9cvzdtVLLsYydvmYwvWjY9qrv37EW5WI/7n0iWrVe1uHTAru4+vQbzEWkUygmRppQTUtd0Gk5ERESkQFsbSw78x8weM7NjUgXM7BgzG29m4xcyv42LE+nylBMiTSknpO619TTcju7+lpmtDNxhZi+4+33ZAu5+AXABwHI2KNEDRqShKCdEmlJOSN1rU2PJ3d+Kf98xsxuAbYD7il/VPS07uu2n6+f6gmT85YX5TneXztghWfaOm7Zucz0GPbc4GR9wbfW3JFmbh9pcj66o0XKix+YbJuMvfD1/C5sjt/1vsuxpQ+5ocz0q3bxniafXxaOWfyMf+9QFLVrmXQelO6B/89qv5GJrfb8x1+daaLScqIVZt+ZvcwVw28a/TsaH9OyXD7ZwU77YLRfbYtn0YIVDL0lvy7858fPJ+LzEvBdful2y7NSd09k88vhHkvGuotWn4cysv5kNLD0H9gCeqVXFROqNckKkKeWENIq2HFkaCtxgZqX5XOnut9WkViL1STkh0pRyQhpCqxtL7v4qsHkN6yJS15QTIk0pJ6RR6NIBIiIiIgXUWBIREREpUIsreHdL1jt9i4QlW6dHD31lnbuT8ZG3HZuLLftyet79p6RH1K44NjUSJ33fkDV4MBkXSdnpsseT8RsHP9eh9Xhj0bxk/HtvHJCMP/bcWrnY/Xudmyw7NDXSCNit39xk/NyDL8nFfv/9DZJlRVIe2OzaZHwJ6XWxFs6ckd83XXTXrsmye+2YvlXJLRtflYy/tyR/u5NddjspWbbXe70rVbFL05ElERERkQJqLImIiIgUUGNJREREpIAaSyIiIiIF1FgSERERKaDRcFXoudHIXGzamemyD295cTL+25n5eQCMPGp8q+sl0t7W7Tu13eY9fXF6hNuO//h2Ljbyx88myy6Znb7n4kjy8cN3PzFZduuzHkvGf75yOr5pn/y8F4/ZMlm257j0aELp3iYtSo+0XKNX9aPhvjN122T8v+elbxo35PH3c7ENPng7WfbF6zdKxnfeOL2epwxcNn+/OICF+dtK1gUdWRIREREpoMaSiIiISAE1lkREREQKqLEkIiIiUkAdvDNSHbkB9rvuv7nYUcu/kSz74ZL5yfhfb9ojGV+L1K1KRLqG08YfmIwfuMtFVc9jj+c+m4z3+NWQZHzdux7OxZZUvbTKet+Z7rB991vpvKdCB+9VE7dH+WDtZZJlB42rqmrSzex+67eS8Yn7/qnqeUz4/qhkfNB/0vuUVA5Vyqsek9L7t5Xur6JiDUpHlkREREQKqLEkIiIiUkCNJREREZECaiyJiIiIFFBjSURERKRAs6PhzOxiYB/gHXffJMYGAdcAI4BJwCHuPrP9qllbPQYOTMYP+McDyfiXl3szF6s06m3by09Jxtf6vka9NYpGzIlK1vnCU8n4/usenA/26pksuyn1zqoAACAASURBVGjDQcn4tE+lf6utMyNxq4UXXk2WXfLRR8l4kqVvv9Cr5+Lq5wHc91GfXGzItc8ky9ZiFF896E450RLTvrF9Mv7afucn44s9vY6mTN61dzK+1n+qnoW0QDVHlsYCe5bFTgXucvf1gLvi/yLdxViUEyJZY1FOSANrtrHk7vcB75WF9wcujc8vBQ6ocb1EuizlhEhTyglpdK29KOVQd58Sn08FhlYqaGbHAMcA9GXZVi5OpMtTTog0pZyQhtHmDt7u7oAXTL/A3Ue7++jepK9yK9JIlBMiTSknpN61trE0zcxWBYh/36ldlUTqknJCpCnlhDSM1p6GuxE4AvhV/PuvmtWo1nrkR+i8/INNkkW/vNy4ZDw18k2j3qRM/eRES3j6YMDil/Kj02Yc9Ylk2Yd+el7LlvmlfOgX0zdNFr3qxa2S8SUvD8jFeo2cnSz71GaXJuOVfOT5UUhLZqfn3c01Zk5UYL3zoyTn75xeLxZ7epzkkgoH374zddtcbO0fp+9dWPHwnbRJs0eWzOwq4CFgfTObbGZHEVb+T5nZS8Du8X+RbkE5IdKUckIaXbNHltz90AqTdqtxXUTqgnJCpCnlhDQ6XcFbREREpIAaSyIiIiIF1FgSERERKdDa0XB1o8cm6+Viz32pZaNzfvHuDrmYRr2JdJzThjzdojj5lK2ZK6alRv11q1ueScLMQ/MjMydsX2lfk74H3L4v7peM9zihfy7mCydWXTdpOx1ZEhERESmgxpKIiIhIATWWRERERAqosSQiIiJSoOE7eL941ApVl53rC5Lxe3+/XS62IurgLZI1+Nk5yfgTC9K3dtiiT33+Vntj9oq52MC+85Jll3z0UXtXRzqY9UrvNnc7+b9tnvcbd6+ZjK/+3INtnre0TX1urUREREQ6iBpLIiIiIgXUWBIREREpoMaSiIiISAE1lkREREQKNPxouIFrflB12WmL06N2hjz0bi62uNU1EmlQD09Ihn9w5DHJ+M8uuTAZ32qZmtWoXdyz6bW52FZXfzFZdvjhbyXji2fNqmmdpANtun4y/JOV/9bmWQ+/Kz2iVDqfjiyJiIiIFFBjSURERKSAGksiIiIiBdRYEhERESmgxpKIiIhIgWZHw5nZxcA+wDvuvkmMnQF8FSgNEzvN3W9pr0q2xfwF1Q/4W6tX32T88BvvysUe/nCdZNlb7tg6GR/0jFddj0oGj3szGV80OT3iRtpHvedEe+m54XrJ+MTDe7ZoPge+tE8uNum9Qa2qU9ZHH/VOT5iSzvvrPvu7ZHzjPvltymNbX54s+4mDT0jGB1/UWPeW7E450ePNqcn4VbOH5mJfGPhOsmxPSx+n6D1pWjK+qMq6Sfup5sjSWGDPRPxcdx8VH3WfACItMBblhEjWWJQT0sCabSy5+33Aex1QF5G6oJwQaUo5IY2uLX2WTjCzCWZ2sZmtWKmQmR1jZuPNbPxC5rdhcSJdnnJCpCnlhDSE1jaW/gSsA4wCpgBnVyro7he4+2h3H92bLn5pXpHWU06INKWckIbRqtuduPvHvdDM7K/AzTWrUY31GzcwF7tk09WTZb+8XLoD9ecGTK8qBnDWl/7Xgtq1zBWzV03GX5u/Ui52y5sbp2dy/eBkeKUbJybji6fPqK5y3Vw95UR76fXn2cn4xHWvTsZTHWIBlhzbPxcb9uKzra9YK538n68n4+f/5fe52Lq90zv4PU74bzL++KV9cjFf1FjdeBs1JyptEx+fMyIXO3RgusP2XXPTgw1mb7NGMt7zo+HVVa7AB2vnlzn0wfeTZT9aJZ+DAP0eeSUZXzxzZusrVidadWTJzLJ77QOBZ2pTHZH6pJwQaUo5IY2kmksHXAWMAYaY2WTgdGCMmY0CHJgEHNuOdRTpUpQTIk0pJ6TRNdtYcvdDE+GL2qEuInVBOSHSlHJCGp2u4C0iIiJSQI0lERERkQLm3vbbcFRrORvk29puHba8Snquv24yPvWs6m/LcMr6dybjhwxIX96+q6s00u53L34yF1vxD+mREr3vfKymdaq1O/26x9x9dGfXI6ur5ERLpXLoB7f+PVl2m2XS25itzv5GMr7qOQ+2vmId4I3Tt8/FJhzzhxbNY//dP5+LLX7+pVbXqbWUE7Xz5o/y68VTx6XXix5YMr6E9tsfp5b5yqJ5ybKVbv116KufTsZf+sfIXGyV33btPK6kUk7oyJKIiIhIATWWRERERAqosSQiIiJSQI0lERERkQJqLImIiIgUaNW94erd4hdfTsZX2q/6eVw5Yodk/LIV8/eiKzJveH5k2fQj57RoHikbD52ajF+x1n+S8S8MnJKOj74iF3v5wvRdwb/67ZOT8f7Xtd/98qRz+Nv5e1798/2tkmW3GTo+GV97//R9puad0/p6dYQlvds+YmnmqPw9GpfrhNFwUjsj/pC/f+FFh6bv9fbV5dP3Ie1olUa9VXLV2renJ3wnH//EnBOSRQdf9Eh6HksWt6guHU1HlkREREQKqLEkIiIiUkCNJREREZECaiyJiIiIFFBjSURERKRAtxwNVwuLJr2RnjCpZfMZ8O6wXOy9DdZMll39n+kRbotfejUXmz0wPSpv/+H5e1IBvPD1Qcn4v/c5Nxdbt/cyybKXnn12Mn7kklNysWWv1wi5erZk9uxc7K15K7ZoHtese3My/smD86NoBlzb8etLzxWWT8Z3/tSENs97+eufyMU67i6d0h4Wv/9BLnbjftsky953af5eagCXjkjfc7QW7pqX326f8vTBybL/b53Hk/HvDc6P+Kvkf2f8MRnf7+a9k/FFU9L7t65CR5ZERERECqixJCIiIlJAjSURERGRAmosiYiIiBRotoO3ma0O/A0YSuiDeIG7/87MBgHXACMI3ZoPcfeZ7VfVxjR/vaG52OMn/SFZduSGxybjK92bn8eKlz6UXuDz+Y65AOulr0zPt888JBf72j3pToh79EvPY9gp+ds4vP/vdCdxn5++lUpXopxIe+yeDdITvpxeX3pU+K122i8vzcV+uNJXkmVXPv/B6irXChN/tGEy/q/h6Y6rKXfNWzY9YUljdedWTqQtfvm1ZHxG+m5Z7EP6lkE9h+RvjzPts+lO4kMuqLDtT1iN55Lx+0nfBuWBrY9Mxne86NFc7IdDXkiWfe3otZPx1X9W/x28FwGnuPtGwHbA181sI+BU4C53Xw+4K/4v0h0oJ0SaUk5IQ2u2seTuU9z98fh8NvA8MAzYHyj9BLwUOKC9KinSlSgnRJpSTkija9F1lsxsBLAF8D9gqLuXblU/lXD4NfWaY4BjAPpS4ZC0SJ1STog0pZyQRlR1B28zGwD8AzjJ3Wdlp7m7U+Gaau5+gbuPdvfRvUn3UxGpR8oJkaaUE9KoqmosmVlvQgJc4e7Xx/A0M1s1Tl8VeKd9qijS9SgnRJpSTkgjq2Y0nAEXAc+7+zmZSTcCRwC/in//1S41bHC9HngmF1v/uq8ny048KD0KZ+4eC3KxUZ84MVm279SW3eHGN8qPntu176xESYCeyei6/d/NxR7rmb4dSz2MEVJOpK1+Z3ok43f22jYZP2uV9C1M9ug3Jxf75X4VRsqcX13dikw9cftk/P6Df13hFRWGfSb88uQjkvG+Cx+peh71QDnRvhZPn5GLtWTUW61M2zq93f76ivnboyz29Ii6oY8urGmdOko1e84dgC8BT5vZkzF2GmHl/7uZHQW8DuTHmIs0JuWESFPKCWlozTaW3P0BwCpM3q221RHp+pQTIk0pJ6TR6QreIiIiIgXUWBIREREpoMaSiIiISIGWDY2SmvOF+ZFsI08Znyx7xOjdk/FLR+TvvTVx3z+1rWKF0qPefvLuqGT8jrN3zMVWmNvxIzmkffUclx8RA/DE6dukX/CX9Gi4lHs2vTYZ/8/L/ZPxE+75Ui7Wo9+iZNnndv1dMt6jwqi3+Z4fzbPl5Scny65188PJuEhX0Gv14cn4a+eukIzftU16hOiAHvlcGT3+sGTZoXc+kYx39ZHQOrIkIiIiUkCNJREREZECaiyJiIiIFFBjSURERKSAOnh3Qb4o3RH1vTH520AA7Lt5/pYKL31xQLLsBfv+NRl/at6ayfgf79wjGU9Z//9eScZXeFedubuzfrc/mYyP/s03kvHLTjwnF9uwd+9k2dStUQAm7v3nKmsHLf3NuPPj+Xxb61St49I1zDzyE8n4Tt/ID6jYd4VbkmV36Ju+Jcn0xelljrzp+HzsuPQtfbp6R+5KdGRJREREpIAaSyIiIiIF1FgSERERKaDGkoiIiEgBNZZERERECmg0XB1J3RoFgPHP5ELrpu+Ywq9P2rRFy1yX6m/XUGGghHRzldbbVc59MBn/2hsn5mJbfj99K5WzV2377UQOfGmfZPy129dKxoefWf1tWkQ62gfrpeN3vLl+LjZrUfqWPldUmPfEn2+cjI+8KT3yrZHoyJKIiIhIATWWRERERAqosSQiIiJSQI0lERERkQJqLImIiIgUaHY0nJmtDvwNGEq4rcsF7v47MzsD+Crwbix6mrunbzQj0kCUE+2r/z/yo81e/Ee67D5sVYMlTklGh1eIS55yousY8YPq71P4Rgvn3ZfGH/VWSTWXDlgEnOLuj5vZQOAxM7sjTjvX3X/TftUT6ZKUEyJNKSekoTXbWHL3KcSfXu4+28yeB4a1d8VEuirlhEhTyglpdC3qs2RmI4AtgNJx8hPMbIKZXWxmK1Z4zTFmNt7Mxi9kfpsqK9LVKCdEmlJOSCOqurFkZgOAfwAnufss4E/AOsAowi+Ks1Ovc/cL3H20u4/uzTI1qLJI16CcEGlKOSGNqqrGkpn1JiTAFe5+PYC7T3P3xe6+BPgrsE37VVOka1FOiDSlnJBG1mxjycwMuAh43t3PycRXzRQ7EMjfoEykASknRJpSTkijq2Y03A7Al4CnzezJGDsNONTMRhGGiU4Cjm2XGop0PcoJkaaUE9LQqhkN9wBgiUm6VoZ0S8oJkaaUE9LodAVvERERkQJqLImIiIgUUGNJREREpIAaSyIiIiIF1FgSERERKaDGkoiIiEgBNZZERERECqixJCIiIlLA3L3jFmb2LvB6/HcIML3DFt459B67ljXdfaXOrkSWcqIh1dN7VE50Pr3HriWZEx3aWGqyYLPx7j66UxbeQfQepSW6w2ep9ygt0R0+S73H+qDTcCIiIiIF1FgSERERKdCZjaULOnHZHUXvUVqiO3yWeo/SEt3hs9R7rAOd1mdJREREpB7oNJyIiIhIATWWRERERAp0eGPJzPY0sxfN7GUzO7Wjl99ezOxiM3vHzJ7JxAaZ2R1m9lL8u2Jn1rEtzGx1M7vHzJ4zs2fN7MQYb5j32FmUE/VJOdF+lBP1qZFzokMbS2bWE/gjsBewEXComW3UkXVoR2OBPctipwJ3uft6wF3x/3q1CDjF3TcCtgO+Hr+7RnqPHU45Udfri3KiHSgn6np9adic6OgjS9sAL7v7q+6+ALga2L+D69Au3P0+4L2y8P7ApfH5pcABHVqpGnL3Ke7+eHw+G3geGEYDvcdOopyoU8qJdqOcqFONnBMd3VgaBryZ+X9yjDWqoe4+JT6fCgztzMrUipmNALYA/keDvscOpJxoAMqJmlJONIBGywl18O4gHq7RUPfXaTCzAcA/gJPcfVZ2WqO8R+kYjbK+KCekVhplfWnEnOjoxtJbwOqZ/4fHWKOaZmarAsS/73RyfdrEzHoTEuAKd78+hhvqPXYC5UQdU060C+VEHWvUnOjoxtKjwHpmtpaZ9QE+D9zYwXXoSDcCR8TnRwD/6sS6tImZGXAR8Ly7n5OZ1DDvsZMoJ+qUcqLdKCfqVCPnRIdfwdvM9gZ+C/QELnb3/+vQCrQTM7sKGAMMAaYBpwP/BP4OrAG8Dhzi7uWd++qCme0I3A88DSyJ4dMI56Mb4j12FuVEfa4vyon2o5yoz/WlkXNCtzsRERERKaAO3iIiIiIF1FgSERERKdCtG0tmtqGZ3W1mH8TL6h9YNv37ZvaL+PwQM3vezGbHS7nnLqplZreb2R5mdoSZPWZms8xsspn92sx6VVGfw83MzezosviWZnafmX1oZtNKl5DPTP+EmT0Yn//MzJ42s0VmdkYzyzMzO9PMZsTHmbGDXmn6qPg+5sa/oxLzeNHMRprZyWb2anzPb5vZudW8Z+l6zOzzcV2fY2avmNlOmWkf50Qm9uO43u5eFu9jZtPNbICZ/Sbe6mC2mb1gZodXWZeL47zXrbaO2XrGOlxnZpPifMY0s7xBZnZDnO/rZnZY2fTDYnyOmf3TzAaVTV/NzCbH55eb2ZSYExPL81rqi5mtZ2YfmdnlZfG/mNkxZnZa3EaXHvPMbImZDcmUVU7Ua064e7d8AL2AicC3CJ0IPwnMAUZmyjwA7Ei4INoCwuX3DfgMMBdYOVO2PzADWAY4HtgJ6BNf+xhwajP1WRF4AXgGODoTH0IYZvmFOO+BwIZlr/058MP4/IhYz38BZzSzzGOBFwlDc4cBzwHHxWl9CB3xTo7L/Wb8v0/m9esQrrRber5CfD4IuBv4Vmd/z3q0OC8+Fb/n7Qg/poYBwzLTHwB2LFsHngbeBnYvm9fuwJ3x+U+ADeI8twVmAts3U5cdgXsJ12RZt9o6ZusZ1+OT4vMpwJhmlnkVcA0wIL7mA2DjOG1jYDawc5x+JXB12euPBi7MlF8mPt+AcDG+rTr7O9ajdQ/gP4TOy5eXxd8AhifKnwHcXRZTTtRpTnR6BTrtjcMmwIfETu4x9h/gZ/H5ioRGSs+4Ir9T9vp3gU9k/t8PuLHCsr4F3NRMff4MfA0YR9PG0i+Ay5p57ePAlmWxy2m+sfQgcEzm/6OAh+PzPQjXNsl+Pm8Ae2b+/ybw+8R8BwN3Aud39vesR8secZ04qsK0j3MiE7sN2BuYRL6xdA4VGsyEocSnFNSjF/AEsFlix1CxjpXqGeOTi3YMhB88C2j6g+ky4Ffx+S+AKzPT1onlB2Zi1wOfTcx7fcKO6ZDO/o71aPmDcPmCvxMaQJdn4psBExLlDXgVOKIsrpxYGq+rnOjWp+ESjNCIAvg04cZ/i4HxwPNmtp+Z9bRwCm4+MCHz2r2Bf1eY787AsxUXarYNMJrQYCq3HfCemT1o4W7VN5nZGpnXrkq4dPwTVb3DpjYGnsr8/1SMlaZN8LhWRxMy06HsPcfDsbOA6cDmwF9aUSfpJBZuYDoaWMnCaenJZnaemfWLRbI5gZkdDMx391sqzDKZE3F+W1OQE4Qjmve5ezbHqqljrp4tMBJY5O4TM7HynPg4X9z9FeKOJNatNyHX78jU93wzm0s4ajwFqPRZSRdlZssBPyX86C1Xabu/E7Ay4eKMzZZXTnR93bmx9CKhpf0dM+ttZnsAuwDLxumfIX6JcQX7G+EQ4/z491h3n5OZ394kvnQz+wphRf5NqhJxRT8fOMHdlySKDCecWjuRcI2K1wiHRbPLva2sUVOtAYRDqiUfAAPMzBLTStMHxnovS0jucaWJ7n6luy9HSJQ/E64jIvVjKNAbOIiwsR9FuLfTD+P0j3PCzAYSflWemJ8NmNk6QC93fzEx+c+EDeztFV67OuEU8Y9bUccm9WyhAcCsstjH6zzN5ARhp/CUhxuIAuDuX4vTdyL8wp7finpJ5/oZcJG7T05Mq7SuHQFc5+4flgLKiaBec6LbNpbcfSHhzsefIZw3PYVwmHWymfUgnAO+DcBCx9VfEy4m1ofQqLrQYodnM9sU+MDdszd/JB6B+iWwl7tPr1CVrxGO4DxcYfo84AZ3f9TdPyKc597ezJaP05ONtCp9CCyX+X854MPY8CqfVppeWul3Ax5099yK7u4vEX4hnd/KeknnmBf//sHD3cOnE04b7F2eE4TTEZe5+6QK89obuLU8aGZnEY7eHlLQwP8t8FN3L98IF9Yxzr+8ni3R3Drf3PRkLrr7Ynd/gPDD5/hW1Es6SdzG7w6cm5i2AqHfzYNl8WWBg4FLy16inIjqMSe6bWMJwN0nuPsu7j7Y3T8NrA08Qjhi8rq7vxuLjiIc/hzv7kvc/VHCFUlLo39yK4SZ7Qn8FdjX3Z8uqMZuwIFmNtXMpgLbA2eb2Xlx+gSa3nTw4+fxEOcuZA5xttCzhNNlJZuz9DDws8Bm8ShTyWaZ6c010noRzl9LnXD3mYQ+DKn1rTwndgO+mVlvVwf+bmbfi9NTOfETwuCDPbzs5ppldgPOyswb4CEzO6yZOqbq2RITgV5mtl4mVp4TH+eLma1NGPxQOkWhnGg8Y4ARwBtxXfw28Dkze5xwauvuxKmtA4H3yBx1j5QTefWTE53daaozH4Sdf1/CqbdvE05xLUM4evPjTLldCP1wRsX/tyCMfNsj/n8vsHOm/Cfj9J2rqMMKwCqZx4OEc+PLZ+Y1k9Bg6034hXN/nLYr+dEWveN7upIwSq4vZZ36MmWPA54njJxYjbDil4+GOzF+JieQGQ1H6NC7RmZeRxNHBwIbxXmd09nfsR4tzomfEu7NtTKhU+j9hNMQ5TkxuGy9fZPwa3pAzKcZQN9M+e8DLwGrVFGHlcvm7YS+e/2K6hinNalnjC0T82AyYeBCXzIDF8rKXk04zd0f2IH8yJ9ZhNMH/QmDKK6O09YCXi17D5+Pn0dPwo51DrBfZ3/HerQoH5YtWxd/A1wHrEQ4cnR44jX/IRwFKp+PcqKOc6LTK9Cpbx7OIjREPiQcHl03xscDo8vKngC8TDi8+Cpx1AKhsfMu4Vx0qew9wKI439Lj1sz0W4HTKtRpHJnRcDF2PGFk2kzgJmD1GP8N8O2ysmNjImUfR8ZpOxFOs5XKGuH04nvx8etswhAahY8RDvM+DmwR45sAz5Qt9xJCH6U5hIbUWWQ2DHrUx4PQ2D4feJ9wevr3cUOay4my100ijoYD9gFuLpvuhL4J2Zw4LTP9Q2CnCvMuH/mTrGOclsrdSYmcGBGnnVaWm4MI9+qaQxj9eVjZvA6L8TmEy3MMivETgPMy5VYi/Ih6n7AzeRr4amd/v3q07UEcDRe3nVPJXD4mTh9G2PavWxZXTtR5TujecGXMrDSybJhX8eGY2SHAQe5+SLtXLr/s5+Kyn+vg5X4XGOLu3+3I5UrnaEVOnE9oTHdon7WW1rPGy76FsGOoi5E90jZxBPN57r5NleWVE3VOV1jOW55w1KjaFet9Ep3/2puZ9QH+1tENpWgS4QiXdA8tzYkn6Zz1o6X1rKVxhCPK0n2c3oKyyok6pyNLIiIiIgW69Wg4ERERkea06TRcHB7/O0LP9gvd/VdF5fvYMt6X/m1ZpEirzWbmdHdfqT2XoZyQeqKcEGmqUk60urEUrzz9R8LFriYDj5rZjUV9aPrSn21tt9YuUqRN7vTrXm/P+SsnpN4oJ0SaqpQTbTkNtw3hjvOvuvsCwrUY9m/D/ETqnXJCpCnlhDSEtjSWhhEuRFcyOcaaMLNjzGy8mY1fWB+3gBFpLeWESFPKCWkI7d7B290vcPfR7j66N8u09+JEujzlhEhTygnp6trSWHqLcD+okuExJtJdKSdEmlJOSENoS2PpUWA9M1srXiDx88CNtamWSF1STog0pZyQhtDq0XDuvsjMTgBuJwwJvdjdn23mZSINSzkh0pRyQhpFm66zFO/50hD3fRGpBeWESFPKCWkEuoK3iIiISAE1lkREREQKtOk0nIhIrb182Ra52Cu7XZIsu+XPjk/GV/rTQzWtk4h0bzqyJCIiIlJAjSURERGRAmosiYiIiBRQY0lERESkgBpLIiIiIgU0Gk5EupTDN/tfLrbQFyfLztx6YTK+0p9qWiUR6eZ0ZElERESkgBpLIiIiIgXUWBIREREpoMaSiIiISAE1lkREREQKaDSciHSKnissn4wP6jWp6nmsdps2YSLS/nRkSURERKSAGksiIiIiBdRYEhERESmgxpKIiIhIgTb1jjSzScBsYDGwyN1H16JSIvVKOSHSlHJCGkEthpLs6u7TazAfaaU3f7B9Lvbjw69Klj14wIwWzfuFhfPz87jwlGTZNW9+Pxlf8uRzLVpmA1BOVGHm3hsm48etcHfV81jh0SnJ+KJW1UjakXJC6ppOw4mIiIgUaGtjyYH/mNljZnZMqoCZHWNm481s/ELyRylEGoxyQqQp5YTUvbaehtvR3d8ys5WBO8zsBXe/L1vA3S8ALgBYzgZ5G5cn0tUpJ0SaUk5I3WvTkSV3fyv+fQe4AdimFpUSqVfKCZGmlBPSCFp9ZMnM+gM93H12fL4H8NOa1awb67nhesn4chemO2ffMuK8XGwJ6R9nS1pYl5G9++Ri3/3idcmyV/18tRbOvbEoJ9rPwS/vnYwvmfZuB9dEWkI5IY2iLafhhgI3mFlpPle6+201qZVIfVJOiDSlnJCG0OrGkru/Cmxew7qI1DXlhEhTyglpFLp0gIiIiEgBNZZERERECqixJCIiIlKgFrc7kTaYt39+FO1XzvxnsuwXBqZv7QCWi1z0wRrJkr+7Zv9k/KOh6RtETNz/T7nY7yfumiy7Ei9WqJ9I2zw/dWgyPmLutA6uiXQXU0/M30YK4BffuDgZ/+PWn8jFFs+cWdM6SefRkSURERGRAmosiYiIiBRQY0lERESkgBpLIiIiIgXUWBIREREpoNFwNdajf/9k/M0T0hexveb4s3Ox1P3YACYsWJyMf/XME3OxVa58Nll2jVkPJuNvfS898uOeeX3z8/52euRcunYiIl1Dz+WWS8bfPG6TXOyeb5yVLLt8j/w2EeBbp2yQi4344UMtqJ10ZTqyJCIiIlJAjSURERGRAmosiYiIiBRQY0lERESkgDp419jEn22ajL/w//5Q4RX5ztxfmvSpZMnpPxyRjK90T74TYaXO1j1XWD4Z//5XrknGr52Rvx3L4omvVJi7iEjX9frX8x25AZ48IbV9TnfkruS2L+U7hB//r+OTZf3Rp1s0766u50or5WKvfs6oVwAAIABJREFUH71esuzwez5Mz+ThCbWsUs3pyJKIiIhIATWWRERERAqosSQiIiJSQI0lERERkQJqLImIiIgUaHY0nJldDOwDvOPum8TYIOAaYAQwCTjE3We2XzU7V+oWJq9evE6y7AOf+E0yPtd7JuPbjP1WLrbO2S8ky/ac+XilKlbt9eM3TsYPGXB3Mv7bXx2Siw2ie1/CXzlRGysdO6mzqyA1Ui854VvNqrrsrXMHJuN7LTs7GR/eq18utvNFjyTL/ne/9ZPxRZPeqLJ2naPnkMHJ+BceyO+bDhlwW7LsFv6NZHzYw62vV0eo5sjSWGDPstipwF3uvh5wV/xfpLsYi3JCJGssyglpYM02ltz9PuC9svD+wKXx+aXAATWul0iXpZwQaUo5IY2utRelHOruU+LzqcDQSgXN7BjgGIC+LNvKxYl0ecoJkaaUE9Iw2tzB290d8ILpF7j7aHcf3Ztl2ro4kS5POSHSlHJC6l1rG0vTzGxVgPj3ndpVSaQuKSdEmlJOSMNo7Wm4G4EjgF/Fv/+qWY26oJdP3ywXe27H85JlK4162/aiU5LxEac/mItVuq9bS8z97LbJ+J++en4y/oeZ6fv4DLnmqVxsSeur1ci6VU7UwtC+6VFFKSPOrnhQQrquus6JE+/8YjreI70uPvmZ3+di3xn8XLJsz5vSW9G/n7d7Mr7yZYnt8Ny5ybK1UGnU26Ab03unQwY0fju42SNLZnYV8BCwvplNNrOjCCv/p8zsJWD3+L9It6CcEGlKOSGNrtkjS+5+aIVJu9W4LiJ1QTkh0pRyQhqdruAtIiIiUkCNJREREZECaiyJiIiIFGjtaLhuZdEKi6ouu9W9X0vG10mMequk5+BByfj0fdP3E/rogPdzsd9v+tdk2U8skx7NcOQtn0rG15v7v2RcpFrWK72Z6ddzQTLeA8vHFqTXW43MlJb4zNrPJuPzfWEutvZ16XWu112PJeO3vrhaLva5AdOTZb81KH3/z2/9OB0//bgtcrHrb9wxWXa519Kj9Watlc+rSpaMnJOMP7vmxVXP46IP1kjG17zqzWS8+r1s59CRJREREZECaiyJiIiIFFBjSURERKSAGksiIiIiBdTBu8Z+vNVNyfiFt++UjL8/r2++7OZ/S5bdos8dyXiqQ+ySyvesTOr9gdrN0j7m7bVlMn72qn9Kxk9/d1QuZm+9W9M6NZl3hQ7oPdcYnn7Bgnxn4EWT36pllaSd/GpounP2Xz9YJxer1JG7kr/tkF/Pb/xXegjCpSPubNG8f7LyE/nY0fkYpPcH0PJ9Qludd+n+yfiw16sf7NSVaA8pIiIiUkCNJREREZECaiyJiIiIFFBjSURERKSAGksiIiIiBTQargqr/zs/uuCNT89Llj104LR0fJPrWrDEjm/D7rNn+rYmz/yggysi3d7tkzfMxQa9O7Hdlldp1Ns/7/9HMn5PYgTruZ87KFl2yVPPt75iUnOPzk+PCHts9ohENH3Lj0oWT5+Ri703pk+y7Mjzj0vGL/nkRcn4Dn3zIzBr4b8f9U7Gv/N8en3++6bp250M79UvFxvwVnokYKXbeb36zQ1ysS9/Nj0C/O5N+yfj7UlHlkREREQKqLEkIiIiUkCNJREREZECaiyJiIiIFFBjSURERKRAs6PhzOxiYB/gHXffJMbOAL4KlG7YdJq739Jelexs/f71SC523IwTkmVfOTg/UgZgjQ2ntrkeP1onfd+53fotzgc9PRKhkh7WsfcNqmfKifrUc921kvH3txzaovn89s1P5WLdfdRbveTEqd9Ij0Lr//ibiWjLRsP1XG/tfLBH+njEhr+ZmYz/fdQ2yfgOq/236nqMqzDC7dvnHJuLvb/VgmTZHn0S+xRgpZ7VD6A/44xLkvGPTk/X7zPL5ke+jXn64GTZAbxadT1qpZojS2OBPRPxc919VHxopyDdyViUEyJZY1FOSANrtrHk7vcB73VAXUTqgnJCpCnlhDS6tvRZOsHMJpjZxWa2YqVCZnaMmY03s/ELmd+GxYl0ecoJkaaUE9IQWttY+hOwDjAKmAKcXamgu1/g7qPdfXRvlmnl4kS6POWESFPKCWkYrbrdibt/fE8PM/srcHPNalQnejzwZDK+3gNtn7f1Sn8t/3ho62R8zGoP5mKnv7t5suxJgx9Oxpd4/pYugTp+V0M5UTsfPjokFxtEy253Mun/PpGL/figvyfLHjLgnRbN+50r18zFBvN2i+bRHXTFnFjm348m44taMI+eI9dJxv9wx6W52BqJ24C0tzEVbo3yyGl/qMHc052zU3brN7fNS5v2zMrJeFft4J1jZqtm/j0QeKY21RGpT8oJkaaUE9JIqrl0wFXAGGCImU0GTgfGmNkowmGHSUB+TKJIg1JOiDSlnJBG12xjyd0PTYTTt0YW6QaUEyJNKSek0ekK3iIiIiIF1FgSERERKdCq0XDSvl7/YfqS9zetlh7N8MsZG+dit/9ux2TZ03+eHsV303+2TcbX4qFkXKS9bL/XhFzs/n750W0Au+yaLwtww7Df5WLLWHpz17IbA8EGX87f2mTmbcOTZRe9ObmFc5eubsa26RFaI3ot227LTN3CpNKot55W4RhIC26B9diC9O1O1u+dHjc4wPKXe/jljI2SZS++d5dkfO1/5N/POuPSo7c7g44siYiIiBRQY0lERESkgBpLIiIiIgXUWBIREREpoMaSiIiISAGNhutkcz+bH4V271FnVSjdNxm98tpP5mL9Pjs9Wfa1RR8l4+uOfTcZT4+JEKle32nzkvHHKtxc/s+r35sPfikRK9QzF1nvjq8mS65xbfo343HnXJeMX7LmXbnYl6/ZLVl25iHDkvFFk99KxqXrW/GZWcn4mTM2zMX++mB65NeIG9Ij0/q9NjMZt9lzcrGzB/avVMU2s7np/cSLZ6ZHAj4/5sJc7OZfj0mWXe/yrjPCrSV0ZElERESkgBpLIiIiIgXUWBIREREpoMaSiIiISAE1lkREREQKaDRcJ3v7swtysRV7pEe97fn8gcn4ii/mR1bcfdwVybJffWOvZHzxiy9XqqJI2zzydDJ80bs7J+NbDb+vzYs8M3G/xA1PTd+nbdHUacn4GUfsk4x/boexudgjb6yRLLvOB69VqKHUK3/i2WT83s365WIjeaRF827R6OMpLZp1TSyeu1oy/vLC/NDWwePeTJZN312u69ORJREREZECaiyJiIiIFFBjSURERKSAGksiIiIiBf5/e3ceL0dZ5X/8e5LcbIQlYQkhCYQlAQNKkBhZFQXZRBYdGMAFFQkoKJHMjEycAfQ3Ii9klUUMJhAUBIZFkHEBIrIIAgGBJCQsYgKJWQhLFiIhuTm/P6oi3V1P1+2+vVd/3q9Xv273qaernrq3Tte51fVUdXmCt5kNl3SDpMGSXNJkd7/czAZJukXSCEnzJB3n7uFrtUOLJ+wTjN+//4WJ2Oz3OoJt1180OBhfvVOy5u1RpA7+84PJE18laXs9FowjiZyojr9+d5dg/KnJyRO89+wTnsenjzs5GO8199VErPON8IncxfR8ZuPwhH2Toc3v6h9sun7lyrKW2arIifa2U0cyQd84YHiw7aa/aM1b/ZRyZGmdpInuPlrSXpJON7PRks6WNN3dR0qaHr8G2gE5AeQjJ5BpXRZL7r7I3Z+On6+UNEfSUElHSZoWN5sm6ehadRJoJuQEkI+cQNaVdZ0lMxshaQ9Jj0sa7O4brvSwWNHh19B7xksaL0l9FT5UDbQqcgLIR04gi0o+wdvMBki6XdIEd1+RO83dXdH31AnuPtndx7r72A4VOfEAaEHkBJCPnEBWlVQsmVmHogS40d3viMNLzGxIPH2IpKW16SLQfMgJIB85gSwrZTScSZoiaY67X5Iz6W5JJ0m6IP55V016mBHbHfNKMD6sV/IS+Qfef0qw7cjfPRmMH/ns2kTs9lVbBNvuNDX8WVXWZfbbHDlRHR33PxWM/9fJye2/98Llwbb20rPBeKcHD2CUZcS0ecH4NZ/fIRH7yjl3B9v+6unwKNis3V6InGgPPd9u3zuklbLm+0r6oqSZZvZMHJukaOO/1cxOljRf0nG16SLQdMgJIB85gUzrslhy90ckWZHJB1a3O0DzIyeAfOQEso4reAMAAKSgWAIAAEhBsQQAAJCifU9tr7OdNy79vlS95/UNxt/68t7B+DlbXJWIHTwnfKHcXi/+teR+AI3Q84GnE7FGjNZct/Dvwfg9uw4sYy7ZGvWG9rb9Pe+GJ5xY3340AkeWAAAAUlAsAQAApKBYAgAASEGxBAAAkIITvOvk3ld3Cca/t9XjidjMr11R1rzXePL017VXbB1s20uvljVvAAAkqWN2eP9x66qtErGV24aPxWxa1R7VD0eWAAAAUlAsAQAApKBYAgAASEGxBAAAkIJiCQAAIAWj4epk66PnBON7f3tCInbJGT8Ntv1Y3/eC8T2uOzMRG3HXY2X0DgCAdJ3L3gjG/7Zmy0Ss/z7Lat2duuLIEgAAQAqKJQAAgBQUSwAAACkolgAAAFJQLAEAAKTocjScmQ2XdIOkwZJc0mR3v9zMzpN0iqTX46aT3P03tepoVm196aOJ2IWXfjDY9sIi8xghRr7VEzkB5CMnUOji0bcG4z/sv08wvn716lp2p2KlXDpgnaSJ7v60mW0s6Skzuy+edqm7X1S77gFNiZwA8pETyLQuiyV3XyRpUfx8pZnNkTS01h0DmhU5AeQjJ5B1ZZ2zZGYjJO0h6fE4dIaZPWdmU81sYJH3jDezGWY2Y63WVNRZoNmQE0A+cgJZVHKxZGYDJN0uaYK7r5D0E0k7Shqj6D+Ki0Pvc/fJ7j7W3cd2qE8Vugw0B3ICyEdOIKtKKpbMrENRAtzo7ndIkrsvcfdOd18v6VpJ42rXTaC5kBNAPnICWVbKaDiTNEXSHHe/JCc+JP6eWpKOkTSrNl0Emgs5AeQjJ9rblEc/lojd8vIng223WZ0cAd4KShkNt6+kL0qaaWbPxLFJkk4wszGKhonOk3RqTXoINB9yAshHTiDTShkN94gkC0ziWhloS+QEkI+cQNZxBW8AAIAUFEsAAAApSjlnCQAAIGjUaU80ugs1x5ElAACAFBRLAAAAKSiWAAAAUlAsAQAApKBYAgAASGHuXr+Fmb0uaX78cgtJy+q28MZgHZvLdu6+ZaM7kYucyKRWWkdyovFYx+YSzIm6Fkt5Czab4e5jG7LwOmEdUY52+F2yjihHO/wuWcfWwNdwAAAAKSiWAAAAUjSyWJrcwGXXC+uIcrTD75J1RDna4XfJOraAhp2zBAAA0Ar4Gg4AACAFxRIAAECKuhdLZnaomb1gZi+b2dn1Xn6tmNlUM1tqZrNyYoPM7D4zeyn+ObCRfayEmQ03swfM7Hkzm21mZ8bxzKxjo5ATrYmcqB1yojVlOSfqWiyZWU9JV0k6TNJoSSeY2eh69qGGrpd0aEHsbEnT3X2kpOnx61a1TtJEdx8taS9Jp8d/uyytY92REy29vZATNUBOtPT2ktmcqPeRpXGSXnb3V9z9PUk3Szqqzn2oCXd/SNKbBeGjJE2Ln0+TdHRdO1VF7r7I3Z+On6+UNEfSUGVoHRuEnGhR5ETNkBMtKss5Ue9iaaik13JeL4hjWTXY3RfFzxdLGtzIzlSLmY2QtIekx5XRdawjciIDyImqIicyIGs5wQnedeLRNRpa/joNZjZA0u2SJrj7itxpWVlH1EdWthdyAtWSle0lizlR72JpoaThOa+HxbGsWmJmQyQp/rm0wf2piJl1KEqAG939jjicqXVsAHKihZETNUFOtLCs5kS9i6UnJY00s+3NrLek4yXdXec+1NPdkk6Kn58k6a4G9qUiZmaSpkia4+6X5EzKzDo2CDnRosiJmiEnWlSWc6LuV/A2s8MlXSapp6Sp7v6DunagRszsl5IOkLSFpCWSzpX0K0m3StpW0nxJx7l74cl9LcHM9pP0sKSZktbH4UmKvo/OxDo2CjnRmtsLOVE75ERrbi9ZzgludwIAAJCCE7wBAABStHWxFF9V9E4ze8fM5pvZiQXTf2pm4y3yXTN71cxWmNnNZrZJQdveZrbMzAaY2UXxlUpXmtlcM/tSif2ZamZuZjsVxI83szlxP/9qZvsXTP9PMzs/7sNtZjYvns8BFa7/iXH8HTP7lZkNKpi+jZktiJ//wswWxb+fF83sa6WsM5pLqTlRECu23W5jZgvMrI+ZTYnnt9LMnjGzw0rsz/R43r0K4mea2d/ifs4xs1GhfprZEDO728z+Hs9nRBfLG2HRFYhXx7l7UMH0b5vZ4ng7n2pmfQqm721mj8bPHzCz1+O2z5pZJq4V1I7SPoNzPn9HxNvYqpzHfxfMh/1Eq+4n3L1tH5J+KekWSQMk7SdpuaRdc6a/qmgkxkmS5ioaoTFA0clp0wrmdZCk++Pn35O0i6Ji9KOS3pK0Txd92U/Sg4qGVO6UE/+Uou9494rnN1TS0IL3PhK/v7ekCfHzRZIO6O76S9pV0kpJH4un3yTp5oL3f03Sz3La94mf76LoWhp7NvpvzKM2OZHzOrjd5m4fkjaSdJ6kEfE2fES8bY3ooi+fl/RQPO9eBfN9TtHVnU3SjpIGFbx3Q+4OlvQNSXvH8+lqmY9JukRSP0mfk/S2pC3jaYcoOs9kV0kDJf1R0gUF7/8fSf8VP//Qhn7HnwMrJQ1p9N+YR9k5kfoZnPP5O6JwWw3Mi/1Ei+4nGt6Bhq149AH+nqRRObGfb/jwiz/onouf3ybp33Pa7SPpXUn9c2KXSDqryLLuVnQJ+GJ96SXpL/EyC5PgUUknp7x3oKJhmD0L4gvSkqCE9T9f0k0503aM22+cE7tD0mcD8945TsLjGv135lH6o5yciF8X3W7Tto942nOSPpfSl00lvRh/+P9zBxTvCF6TdGDKe/P6mdPX1GJJ0ihJawq28YclnRY/v0nS+TnTDpS0uGAeT0v6cGDe4+LPjHGN/jvzKO+R9hmc+/mr0ool9hPvx1tqP9HOX8ONkrTO3V/MiT2rqPKVpMMl/V/ONCt43kfSyJxYYfuooVk/SR+RNDulL9+W9JC7P1fw3p6Sxkra0qIbSi4wsyvjeW5wiKJ77nSmzD+kq/XfNX4tSXL3vypOmrhvHYr+m7gvp79Xm9lqRUfhFkn6TZl9QmOVmxPB7VYKbx850wbHy0rLifMl/UTRf565hsWP3czstfiruO+ZWe5nWTAXS7CrpFc8uk3DBkVzIn4+2Mw2l/55/ZjBinZoimP3mNm7ikYD/VHSjG70Cw1Swmdw6PN3ftzuOjPbomCW7CdadD/RzsXSAEkrCmLLJW0cP/+03v8j/k7S1+LvpDeV9J043l+SzGxHRf9NvBBYzjWKNqbfhzphZsMlnSrpnMDkwZI6JP2LpP0ljVF0+fj/ymmT289ydLX+A+LXxaZ/TNKzuTsWd/9GPH1/Rf9NrOlGv9A4JedEF9utFNg+4vd1SLpR0dfYc0NvNLOxkvaVdEVg8rD458GSPijpE5JOkHRyTptKciJtmy+cvuH5humHS/qdx/82S5K7HxFPP1zSve6+XmglXX0G525ryxQVPNtJ2lPR3/3GDTNiPxFp1f1EOxdLqyRtUhDbRNJKM9tM0fepj8bxqYq+t/2josr/gTi+IP55uKTfFi7AzH4kaTdFhxmLXaPhMknfd/fCDU6S/hH/vMKjGxQuU3QY9/B4/j0UfVf9u+KrWVTR9S9x+uEKJJ+7d7r7I4p2al/vRr/QOOXkRNp2KwW2j3h7/bmi/zzPCL0pbnO1pDPdfV2gyYacuNDd33b3eZJ+qvdzorCf5Sg3JzY87yon1rr7byUdbGZHdqNfaJyin8GFn7/uvsrdZ7j7OndfomgbP9jMcotp9hNqzf1EOxdLL0rqZWa5X6XtrqgYOkTSHzYcsnT39e5+rruPcPdhcZuFev8S/KEdw/ckHSbpYC+4N06BAyX9KB5hs+Erh8fM7ER3f0tRQZabQLnPPyJpvru/Xvpq/1Pa+iv+uXvO+uyg6KvHDYdjg0mQo5ei76/ROkrOCaVst/HzvO3D7J9X9h2s6FyltUX6sImirxRuief7ZBxfEI/ueUFRsVUsJwr7WY7ZknbI2blJKTkRP1/i7m/ER8w+rsDXjjnIiRbTxWdwV5+/G9pt2M+yn0hqnZxo9ElTjXxIulnREaONFB32X67oO9hpkr6U026Qoj+oKRqBM0vS+Hhaf0lvSOqb0/4/Jb0kaesS+rCVpK1zHq7opNZ+8fTvK9phbKXoJL2HJf2/eNr3JJ1TML8+kvoqSp6D4+dWzvrH03ZVdPh1/3j6LxSPcpC0vaJzO3LX4XhFh2R7KtphvSPpyEb/jXnULCeKbreF20fc/hpJf5Y0oIvlW8F8PxLPe6ik3nGbGyTdo+hQ/jBF5z6cHE/L62cc6xuvjys6qbRvyvL/LOmi+D3HKH803KGKzqEaLWkzSX/Q+ye6fkJRkbZhPrso2gn2U/QVyRcUFXmJk795NPej2Gdw4eevohFtOysqjjZXNILsgXga+4kW3080vAMNXfmoCPpV/Ad7VdKJij6sF0vaKqfdKEX/0a5WNDzzrJxpR0i6p2C+ruh72FU5j0k501dJ2r9InwpHOXQo+lri7bhfP96QcIpOFh1b8P558TxyHyPiaZMk/TZt/QvmdWIcf0fR5RIGxfEzJF2Z025LRcNZ344TZ6akUxr99+VRu5wIvO+f221g+9gunv5uQU58Pp6+bfx628B8Ryh56YBNFH2Ar1Q0Mu6cuI/BfgbywXOmXSPpmoLl/VHRVxsvSDqoYF5nKbp8wApJ1+n9YdAXSfq3nHYfUHRS98o4L56UdEyj/748upUTwc/gws9fRefO/S3OnUWKivqt42nsJ1p8P8HtTgqY2ThFf+BxJba/WtIsd7+6tj1LLHfDqJuhXuc/opn9RtHvqCVGMaAy3ciJhmwf5fazyst+XtK/uPvz9V426q/cz1/2E62vV9dN2tK5ZbR9RtKva9WRFJsquiZHI6rdP+r9k9zRHsrJiT+qcdtHOf2sCjPrLekGCqW2Uu7nL/uJFseRJQAAgBTtPBoOAACgSxRLAAAAKSo6Z8nMDpV0uaJhgD9z9wvS2ve2Pt5XG1WySKDbVuqtZe6+ZS2XQU6glZATQL5iOdHtYim+H81Viq4MukDSk2Z2d9pJjn21kT5qB3Z3kUBF7vfb5tdy/uQEWg05AeQrlhOVfA03TtLL7v6Ku7+n6LonR1UwP6DVkRNAPnICmVBJsTRU0QXhNlgQx/KY2Xgzm2FmM9a2xv3ygO4iJ4B85AQyoeYneLv7ZHcf6+5jO9Sn1osDmh45AeQjJ9DsKimWFkoanvN6mN6/sSzQjsgJIB85gUyopFh6UtJIM9s+voLt8ZLurk63gJZETgD5yAlkQrdHw7n7OjM7Q9LvFQ0Jnerus6vWM6DFkBNAPnICWVHRdZbiG+Rl4iZ5QDWQE0A+cgJZwBW8AQAAUlAsAQAApKBYAgAASEGxBAAAkIJiCQAAIAXFEgAAQAqKJQAAgBQUSwAAACkolgAAAFJQLAEAAKSgWAIAAEhBsQQAAJCCYgkAACAFxRIAAECKXo3uAAAAqL+eAwcG46tu3iwYn77bbcH46AdPTsR2OPGZ7nesCXFkCQAAIAXFEgAAQAqKJQAAgBQUSwAAACkqOsHbzOZJWimpU9I6dx9bjU4BrYqcAPKRE8iCaoyG+4S7L6vCfICsICcarNf22yVi6zfuV/d+2MKlwXjnG2/WuScNR040WGjk298mDwu2fWrXKcH4Wg/P+9mPTU7ExlxwZrDt9mc/VqSHzY2v4QAAAFJUWiy5pHvN7CkzGx9qYGbjzWyGmc1YqzUVLg5oeuQEkI+cQMur9Gu4/dx9oZltJek+M5vr7g/lNnD3yZImS9ImNqjIQTwgM8gJIB85gZZX0ZEld18Y/1wq6U5J46rRKaBVkRNAPnICWdDtI0tmtpGkHu6+Mn5+sKTvV61nQIshJ8pT7FYLKw4cVfG8x3wneauFi7d5pOL5lmuXX58ejI8+b34itm7xklp3p+7Iifp78yt7B+P9jl+ciBU7kbsaeu64qmbzboRKvoYbLOlOM9swn5vc/XdV6RXQmsgJIB85gUzodrHk7q9I2r2KfQFaGjkB5CMnkBVcOgAAACAFxRIAAEAKiiUAAIAU1bjdSVvq0bdvMP7ePrsG41dOvSIY/0Dv/iUvc8Ki8C2VFqzeLBF75rXwZey32Xx5eB4vbxWMj5qaHNHgT80u1kUgwfr0CcZf+O+dg/Hn/zWcK61o7meuCsYPuveMRKz/HdkbDYfy9Nhoo2B81cG7JWJv7tIz2PbO034UjG/fK7nPKnb7knJd8/YuidgOE94Itl1XnUXWHUeWAAAAUlAsAQAApKBYAgAASEGxBAAAkIJiCQAAIAWj4Uqwfv89ErGdL50VbPuFza8Jxkd1hEfPdfr6kvtx2ZAZpc9jh5JnG0kOtpAkfX7MQYnYys8NDrbN4r2tULoFk/YJxldvGx7/Mvcz2Rn1BpTj3SPC9xJe8403g/E/fKicXOnoRo9KExr1Jkn3ff6jidj6hXNq1o9G4MgSAABACoolAACAFBRLAAAAKSiWAAAAUnCCd471H0+eyC1JE6fclIh9qt8/iswlfAn6Yl5c+24ittrDf5Y9+/Qua97VcOOI+xOxz/zyiGDbHoeFT2Jf/25yHdEaXv/63uEJhyVPRL3ug5cHm+5ew8129z99NRjv/4cBidh5E6cF2x7SP3wLIKBSxU7kfnDy5GB8rXcWmVN5+5WQDkvO49V14f3YEU98PRgvdguTrJ3MHcKRJQAAgBQUSwAAACkolgAAAFJQLAEAAKSgWAIAAEjR5Wg4M5sq6QhJS919tzg2SNItkkZImifpOHd/q3bdrK5eO4wIxr8ZGPUmpY18S5q7dk0wfvzVE4PxrR+kxlAbAAAQw0lEQVRPzrvHP8K3h1g2JjnCR5LMS+xcio7PLg3Gb9k1OYJohwHhERGv9OsfnnnGRsNlMSfe+nJ41Nv5E6cG45/ot6qW3UnYa8YXg/Ed/yM8km3dvJmJ2JUzjwu2vWyj8Mfgst3Cw/ienBge9dfOspgT5QqNpv7uZdcF2xYb9VZ8NFzSb1dvEYy/6+Hbnfxw9qGJ2FbX9Au23fbe8K21wnum9lDKkaXrJRX+ls+WNN3dR0qaHr8G2sX1IieAXNeLnECGdVksuftDkgovqnKUpA2HHKZJOrrK/QKaFjkB5CMnkHXdvSjlYHdfFD9fLCl8G3pJZjZe0nhJ6qsiX9MArY+cAPKRE8iMik/wdneXVPSsGXef7O5j3X1sh/pUujig6ZETQD5yAq2uu8XSEjMbIknxz/DZwUD7ICeAfOQEMqO7X8PdLekkSRfEP++qWo/qoHPTjYLxYqPe/hq4f87RT54abDv0ivBIhG0efLTE3hW3xRMVz6K4a8Phj19zViJ23ad+Fmx74eZHhWfyVmYHwORqvpzoEb6f1MpjP5KI/eJ7FwXbbterdjd2O2dpsh+SNOszQxOxIe8sCbZdV8a2ZX96JhgPZ6y0zYPhIxx7dpyZiD31LUbIBTRfTtTQu4OSubJf33eKtC7vXm9fnZ8cybbi6PA8Ol9/PRgfqtllLRP5ujyyZGa/lPSYpJ3NbIGZnaxo4/+Umb0k6aD4NdAWyAkgHzmBrOvyyJK7n1Bk0oFV7gvQEsgJIB85gazjCt4AAAApKJYAAABSUCwBAACk6O5ouJb24pc3Lqv9567690Rs+IWVj25rJr2GbB2Mn7n/vXXuCaqlx24jg/EHLrkiEK181NsvVgwPxmeuHhaMz9mz2J2mFlbcl2rwNeH7PHasrHzey7dPjmTqt++YYNtio/jQXPq++V4i9si74ZHXn+hX3v0yz97mt4nYpM2KnCZWZDQcKsORJQAAgBQUSwAAACkolgAAAFJQLAEAAKRoyxO8+2wTvgT9tcvDJ6gOn/pCItZZ1R413rwrNw/Gv7nZK4nY3LXhE1/Vs7xL+KO2XjtsUF2Xd+OZRwTjHffOqGs/WsGTZ5V+e5Qjh4ZvC4Pm0uPBvyRiZ/7l+GDb5/a5vqx5j+qwROyF07cKtt1pQvIzW5Jeu223RMw9Od80O0x4Ixhft/DvZc2nFXFkCQAAIAXFEgAAQAqKJQAAgBQUSwAAACkolgAAAFJkfjRcz4EDE7HPjQzfPuDCGYcE4yOXPV3VPjWjzlmbBuPHbpn8nfzvjr8Ptp0zMfm7lqRR47vfL3TfrDOvDsbXeOXzPnLuMYlY39eWB9tmbeQoUKptj50ZjHf8vfKRw3OPvSo84dhwuMOS+721XmZ2PhEOj37w5ERsm5vCt1Dqe0+RmTQ5jiwBAACkoFgCAABIQbEEAACQgmIJAAAgRZfFkplNNbOlZjYrJ3aemS00s2fix+G17SbQPMgJIB85gawrZTTc9ZKulHRDQfxSd7+o6j2qss633krEbn9pTLDtSbv/ORh/VOGz+rNku3MfDcYXvbBXMvij8Dz6bPZuFXvU1K5XC+REp6+v2bx79gjM28q7zxTyjb7lm8H4Tgp/LjWZ69UCOVFvvYYNDcbX+lNF4vUdO1qt5T37scmJ2BMf7Rts+4PlJwXjPR5O3luvmXR5ZMndH5L0Zh36ArQEcgLIR04g6yo5Z+kMM3suPvwavsCOJDMbb2YzzGzGWhW5Wz2QDeQEkI+cQCZ0t1j6iaQdJY2RtEjSxcUauvtkdx/r7mM71KebiwOaHjkB5CMnkBndKpbcfYm7d7r7eknXShpX3W4BrYWcAPKRE8iSbt3uxMyGuPui+OUxkmaltW82vZ7YOBjf78MvBON3fuvURGzwj8MnRGfNkr1KvzdGR5HfaztoxpzoaeH/hdZV4aTOO0fdlYgdNuzrwbYdz1e8uIawsbsF44ed8kjF897t599KxHY+f3awbaveLqYZc6LeXj9o20Z34Z/+Z9mHErEbntgn2Hb2YUVupVKGffuuDcbXDOoIxvtVvMTa6rJYMrNfSjpA0hZmtkDSuZIOMLMxklzSPEnJagLIKHICyEdOIOu6LJbc/YRAeEoN+gK0BHICyEdOIOu4gjcAAEAKiiUAAIAUFEsAAAApujUartUNvX95MH7gt8PjTp45++pE7ObTw9dXm3T/ccH4Lj9+IxjvfOlvyeD6Kox/6dEzHP7QzsH4wvPCo95eGffT0FyCbdd9dGVJXUN97HPWacH4AxdfUZPlffnHvwrGbzlgz2B83eIlNelHtazZIjw+59ytwreqKMfWTyRvF9O5YkXF80VzGXj9Y+EJPyhvPret2iYRO++JI4Ntd7lgVTBuy5PxnZc+G2y769WnB+PVGCXXqjiyBAAAkIJiCQAAIAXFEgAAQAqKJQAAgBQUSwAAACnacjRcj7+/HoyfumDvYPzqoX9KxI4dEB7dduzRPwkv9OhwePQjX07EdjzvH8G29u57wfibew9JxkZbsO3zXylvNENn6beG05p3epc1b9TWZs+9GYzPeS85EusDvSv/v+lfN14UjH/yiduD8WQvGuO0Q74SjN80+dIi7+hTu86gLYx+8ORgfMpe1wfjPz/lM4nYyIefDrYtZyx1r2FDg/EvjWuPe5+WgyNLAAAAKSiWAAAAUlAsAQAApKBYAgAASEGxBAAAkKItR8N1LlkajC84Jnn/HUn68HFnlDzvvU74SzB+4TZ/CMaf3+/6ZPD+8LzX+LpgfMrykYnYNzYL3HMuxU6/OTUY32yr5P3ervzgTcG2O18WHsXXLKOe2k3n8y8G4xO/9o1E7KSr7gq2LTbCrRxb9mzy0WM9wv8zDmr2fqNl9X+yfzB+1gNfD8Y3f7jIPebK8LebP5SIzd7/ujLnEr7naMjuj50UjA+/64kyl9kcOLIEAACQgmIJAAAgBcUSAABACoolAACAFF2e4G1mwyXdIGmwJJc02d0vN7NBkm6RNELSPEnHuftbtetq7a1b+PdgfOtLw/GQeUXukHDX3OHB+Oc3Dp9sHtK/R/h2IqGTuX+9epNg258t3D8YH31+uB+hW6nsNbZYD9tDq+dEr+lPJWLXTvpcsO3FX1oRjH939G8SsaM2WlZZx6ro5PmfSsRmLk1uy5I0bEVyEIMkHfty8hYTkvS/O/26+x3LqFbPiXqb8W9XBOP/t3rTYHzyo59OxN760MBg2x2/OTcYv2e75Mnca72cm6MUt9ud30zERk17J9i2jDtoNZVSjiytkzTR3UdL2kvS6WY2WtLZkqa7+0hJ0+PXQDsgJ4B85AQyrctiyd0XufvT8fOVkuZIGirpKEnT4mbTVPRWsUC2kBNAPnICWVfWdZbMbISkPSQ9Lmmwu2+4CMtiRYdfQ+8ZL2m8JPVV+NoSQKsiJ4B85ASyqOQTvM1sgKTbJU1w97wTGdzdVeSrSHef7O5j3X1sh7jIG7KDnADykRPIqpKKJTPrUJQAN7r7HXF4iZkNiacPkVT6mcpAiyMngHzkBLKslNFwJmmKpDnufknOpLslnSTpgvhn+H4JkCT97DufDcbP+2SyXh3858qXN/Cp14Pxzhf/Wt6MAqPh2l0Wc6L/HY8XiYfbX3DaiYnY2R9onnEuo36RHImz9ZMzg23DNxGSVv/wI+EJU7rZqQzLYk40wsH93gzHf//zKsy99FuVFHPbqvAtwXa89b1EzGfMqnh5zaSUc5b2lfRFSTPN7Jk4NknRxn+rmZ0sab6k42rTRaDpkBNAPnICmdZlseTuj0iyIpMPrG53gOZHTgD5yAlkHVfwBgAASEGxBAAAkIJiCQAAIEVZF6VE9/W764lgfGSNxoZU544/QNiW1zyWjDWgH8VUY1xe/zmLg/FdHzwlEZv98WursESgvpatT45ik6RDr/2PYHz7ny8IxnvM+0vV+tSsOLIEAACQgmIJAAAgBcUSAABACoolAACAFJzgDQAB6+a/Foxv/MjwZPDjNe4MMmXsj74ZjK8ZFB6a8PRXL694mae9ltxIn732g8G2w6c8GowXuzVQO+DIEgAAQAqKJQAAgBQUSwAAACkolgAAAFJQLAEAAKRgNBwAlGHITbMTsWMe/EJZ8xgwb1Yitr7bPUKr2fqy8GizYo45Z1wVlroqEdlcydsWIYwjSwAAACkolgAAAFJQLAEAAKSgWAIAAEhBsQQAAJCiy9FwZjZc0g2SBktySZPd/XIzO0/SKZJej5tOcvff1KqjaIxNXlmdiD31Xmew7ZK9Nw3Gt3ymql1qOHKivXW+vTwZDMXaCDmBrCvl0gHrJE1096fNbGNJT5nZffG0S939otp1D2hK5ASQj5xApnVZLLn7IkmL4ucrzWyOpKG17hjQrMgJIB85gawr65wlMxshaQ9Jj8ehM8zsOTObamYDi7xnvJnNMLMZa7Wmos4CzYacAPKRE8iikoslMxsg6XZJE9x9haSfSNpR0hhF/1FcHHqfu09297HuPrZDfarQZaA5kBNAPnICWVVSsWRmHYoS4EZ3v0OS3H2Ju3e6+3pJ10qqxvXYgZZATgD5yAlkWSmj4UzSFElz3P2SnPiQ+HtqSTpGUvJmR2h9f34uETrhkfHBpv03slr3pimQE0A+cgJZV8pouH0lfVHSTDPbMAh8kqQTzGyMomGi8ySdWpMeAs2HnADykRPItFJGwz0iKXTIgGtloC2RE0A+cgJZxxW8AQAAUlAsAQAApCjlnCUgz05f/EujuwAAQN1wZAkAACAFxRIAAEAKiiUAAIAUFEsAAAApKJYAAABSmLvXb2Fmr0uaH7/cQtKyui28MVjH5rKdu2/Z6E7kIicyqZXWkZxoPNaxuQRzoq7FUt6CzWa4+9iGLLxOWEeUox1+l6wjytEOv0vWsTXwNRwAAEAKiiUAAIAUjSyWJjdw2fXCOqIc7fC7ZB1Rjnb4XbKOLaBh5ywBAAC0Ar6GAwAASEGxBAAAkKLuxZKZHWpmL5jZy2Z2dr2XXytmNtXMlprZrJzYIDO7z8xein8ObGQfK2Fmw83sATN73sxmm9mZcTwz69go5ERrIidqh5xoTVnOiboWS2bWU9JVkg6TNFrSCWY2up59qKHrJR1aEDtb0nR3Hylpevy6Va2TNNHdR0vaS9Lp8d8uS+tYd+RES28v5EQNkBMtvb1kNifqfWRpnKSX3f0Vd39P0s2SjqpzH2rC3R+S9GZB+ChJ0+Ln0yQdXddOVZG7L3L3p+PnKyXNkTRUGVrHBiEnWhQ5UTPkRIvKck7Uu1gaKum1nNcL4lhWDXb3RfHzxZIGN7Iz1WJmIyTtIelxZXQd64icyAByoqrIiQzIWk5wgnedeHSNhpa/ToOZDZB0u6QJ7r4id1pW1hH1kZXthZxAtWRle8liTtS7WFooaXjO62FxLKuWmNkQSYp/Lm1wfypiZh2KEuBGd78jDmdqHRuAnGhh5ERNkBMtLKs5Ue9i6UlJI81sezPrLel4SXfXuQ/1dLekk+LnJ0m6q4F9qYiZmaQpkua4+yU5kzKzjg1CTrQocqJmyIkWleWcqPsVvM3scEmXSeopaaq7/6CuHagRM/ulpAMkbSFpiaRzJf1K0q2StpU0X9Jx7l54cl9LMLP9JD0saaak9XF4kqLvozOxjo1CTrTm9kJO1A450ZrbS5ZzgtudAAAApOAEbwAAgBQUSwAAACkolgAAAFJQLAEAAKSgWAIAAEhBsQQAAJCCYgkAACDF/wef0IbS7gWW/AAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 720x720 with 9 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}