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            "grid_template_columns": null,
            "flex": null,
            "_model_name": "LayoutModel",
            "justify_items": null,
            "grid_row": null,
            "max_height": null,
            "align_content": null,
            "visibility": null,
            "align_self": null,
            "height": null,
            "min_height": null,
            "padding": null,
            "grid_auto_rows": null,
            "grid_gap": null,
            "max_width": null,
            "order": null,
            "_view_module_version": "1.2.0",
            "grid_template_areas": null,
            "object_position": null,
            "object_fit": null,
            "grid_auto_columns": null,
            "margin": null,
            "display": null,
            "left": null
          }
        }
      }
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/lydian/CatFaceDetection/blob/master/deep_learning_cat_face.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ml-BrsmhmJ-w",
        "colab_type": "text"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "AC9PWXximM9_",
        "colab_type": "text"
      },
      "source": [
        "# Preprocess Video \n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IB6XpXXgkuoA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "video_path = \"/content/drive/My Drive/motion/litter_robot/\"\n",
        "output_image_folder = \"/content/drive/My Drive/cat/to_label/\"\n",
        "LABELS = {val: id for id, val in enumerate([\"boba\", \"hojicha\", \"both\", \"rotate\", \"other\"])}\n",
        "labeled_folder = \"/content/drive/My Drive/cat/labeled/\"\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Dj7DuZCF2o_i",
        "colab_type": "text"
      },
      "source": [
        "##  Parse images from video\n",
        "1. parse image from video. (Note that I shrink the image to 300 * 300, otherwise i probably don't have enough space on my google drive to store the original data. This is probably okay for image recognition) \n",
        "2. send the parsed image to classifier to find cat "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fkiKFS5CmUhm",
        "colab_type": "code",
        "outputId": "d6391fb7-20e0-4527-8b21-56201c7273a4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "!pip install opencv-python tqdm\n",
        "# Make folder to store the images\n",
        "!mkdir -p images"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: opencv-python in /usr/local/lib/python3.6/dist-packages (4.1.2.30)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (4.41.1)\n",
            "Requirement already satisfied: numpy>=1.11.3 in /usr/local/lib/python3.6/dist-packages (from opencv-python) (1.18.5)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ASosKRsQnYbk",
        "colab_type": "code",
        "outputId": "64c72247-e070-4fdc-f20e-47c9804fe542",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "927bdca784a94197beb0e3a18348e358",
            "32ad7ef6320043ac9078b0540d99aa12",
            "22b0900ef6fc42bba69154113698459f",
            "00c7f7d5800a49f484a825819d3c9c23",
            "ec020bfc7cc94a09ac727b072b5cf85c",
            "3220a12de9ef4446b61b41457d5475f0",
            "50ba27607f8d480a913328700e24910d",
            "e0fb53fe3a634b1a825fb389e304ff2f"
          ]
        }
      },
      "source": [
        "import cv2\n",
        "import os\n",
        "from tqdm.notebook import tqdm\n",
        "\n",
        "\n",
        "def video_to_frames(input_path, output_folder, output_prefix, output_size=300, frame_rate=0.5, start=0):\n",
        "    cap = cv2.VideoCapture(input_path)\n",
        "    fps = cap.get(cv2.CAP_PROP_FPS)      # OpenCV2 version 2 used \"CV_CAP_PROP_FPS\"\n",
        "    frame_count = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))\n",
        "    if fps <= 0: \n",
        "        logging.warning(f\"Failed to parse {input_path}, fps = {fps}\")\n",
        "        return\n",
        "    for count in range(0, int(frame_count // (frame_rate * fps))):\n",
        "        sec  = round(count * frame_rate, 2) * 1000 \n",
        "        cap.set(cv2.CAP_PROP_POS_MSEC, sec)\n",
        "        success, image = cap.read()\n",
        "        if not success:\n",
        "            break\n",
        "\n",
        "        # crop to make it square\n",
        "        w, h = image.shape[:2]\n",
        "        size = min(w, h) // 2\n",
        "        image = image[w//2-size: w//2 + size, h//2-size:h//2+size]\n",
        "\n",
        "        output_path = os.path.join(output_folder, f\"{output_prefix}_{count}.jpg\")\n",
        "        # shrink to 300 * 300 (we don't really need large picture)\n",
        "        image = cv2.resize(image, (output_size, output_size))\n",
        "        # save frame as JPG file\n",
        "        cv2.imwrite(output_path, image)     \n",
        "    \n",
        "    #print(f\"Video {video_path} Caputred {count} frames\\r\")\n",
        "\n",
        "\n",
        "def parse_videos(input_folder, output_folder, output_size=300, frame_rate=0.5, start=0):\n",
        "    if not os.path.exists(output_folder):\n",
        "        os.makedirs(output)\n",
        "    files = [\n",
        "        os.path.join(root, file_name)\n",
        "        for root, _, files in os.walk(input_folder)\n",
        "        for file_name in files\n",
        "        if file_name.endswith(\".mp4\")\n",
        "    ]\n",
        "\n",
        "    for input_path in tqdm(files):        \n",
        "        # the input video has name in `yyyy-mm-dd/hh-MM-ss.mp4` \n",
        "        output_prefix = input_path.replace(input_folder, \"\").replace(\"-\", \"\").replace(\"/\", \"-\").rsplit(\".\", 1)[0]\n",
        "        if os.path.exists(output_prefix + \"_0.jpg\"):\n",
        "            logging.info(f\"skip {input_path}, file_exists\")\n",
        "            continue\n",
        "        \n",
        "        video_to_frames(\n",
        "            input_path,\n",
        "            output_folder,\n",
        "            output_prefix,\n",
        "            output_size=output_size, \n",
        "            frame_rate=frame_rate, \n",
        "            start=start\n",
        "        )\n",
        "\n",
        "\n",
        "parse_videos(video_path, output_folder=output_image_folder, frame_rate=10.0)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "927bdca784a94197beb0e3a18348e358",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(FloatProgress(value=0.0, max=480.0), HTML(value='')))"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yUlleoqy9hAQ",
        "colab_type": "text"
      },
      "source": [
        "# Label session \n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pRcM5wQE93Fl",
        "colab_type": "code",
        "outputId": "0b6a7442-efb4-4fe6-fc10-b189d9a389b6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 666
        }
      },
      "source": [
        "!pip install ipywidgets"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: ipywidgets in /usr/local/lib/python3.6/dist-packages (7.5.1)\n",
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            "Requirement already satisfied: nbconvert in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (5.6.1)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.6/dist-packages (from pexpect; sys_platform != \"win32\"->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets) (0.6.0)\n",
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            "Requirement already satisfied: testpath in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.4.4)\n",
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            "Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.6/dist-packages (from nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (1.4.2)\n",
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            "Requirement already satisfied: webencodings in /usr/local/lib/python3.6/dist-packages (from bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (0.5.1)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->bleach->nbconvert->notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets) (2.4.7)\n"
          ],
          "name": "stdout"
        }
      ]
    },
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        }
      },
      "source": [
        "import os\n",
        "import functools\n",
        "\n",
        "import ipywidgets as widgets\n",
        "from IPython.core.display import Image, display, clear_output\n",
        "\n",
        "def on_label(_, label, path):\n",
        "    print(label, path)\n",
        "    target = os.path.join(labeled_folder, label)\n",
        "    if not os.path.exists(target):\n",
        "        os.makedirs(target)\n",
        "    base_name = os.path.basename(path)\n",
        "    os.rename(path, os.path.join(target, base_name))\n",
        "    clear_output()\n",
        "    show_next()\n",
        "    \n",
        "\n",
        "def show_example(current_path):\n",
        "    buttons = []\n",
        "    for label in LABELS:\n",
        "        button = widgets.Button(description=label)\n",
        "        button.on_click(functools.partial(on_label, label=label, path=current_path))\n",
        "        buttons.append(button)\n",
        "\n",
        "    display(Image(filename=current_path))\n",
        "    display(current_path)\n",
        "    display(widgets.HBox(buttons))\n",
        "\n",
        "\n",
        "def get_label_result():\n",
        "    labeled_count = {\n",
        "        label: len(os.listdir(os.path.join(labeled_folder, label)))\n",
        "        for label in LABELS\n",
        "        if os.path.exists(os.path.join(labeled_folder, label))\n",
        "    }\n",
        "    return sorted(labeled_count.items(), key=lambda x: -x[1])\n",
        "\n",
        "           \n",
        "def show_next():\n",
        "    files = os.listdir(output_image_folder)\n",
        "    print(len(files))\n",
        "    print(get_label_result())\n",
        "    if files:\n",
        "        current_path = os.path.join(output_image_folder, files[0])\n",
        "        show_example(current_path)\n",
        "    else:\n",
        "        print(\"All labeled\")\n",
        "\n",
        "show_next()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2409\n",
            "[('rotate', 680), ('hojicha', 374), ('boba', 204), ('other', 176)]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "'/content/drive/My Drive/cat/to_label/20200520-013403_0.jpg'"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "88e20ab27de84a569afbdf46e2bdae09",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "HBox(children=(Button(description='boba', style=ButtonStyle()), Button(description='hojicha', style=ButtonStyl…"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d-ax_xFKuwnT",
        "colab_type": "text"
      },
      "source": [
        "# Modeling\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P8u0Psks8OPJ",
        "colab_type": "text"
      },
      "source": [
        "## Prepare Data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lOoKonQXu2ks",
        "colab_type": "code",
        "outputId": "8d612ee6-a1c3-420a-d8ee-74e825934ba9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "import os \n",
        "\n",
        "import numpy as np\n",
        "import tensorflow as tf\n",
        "import pathlib\n",
        "\n",
        "LABELS = {val: id for id, val in enumerate([\"boba\", \"hojicha\", \"both\", \"rotate\", \"other\"])}\n",
        "\n",
        "labeled_folder = \"/content/drive/My Drive/cat/labeled/\"\n",
        "data_gen = tf.keras.preprocessing.image.ImageDataGenerator(rescale=1./255, validation_split=0.2)\n",
        "train = data_gen.flow_from_directory(\n",
        "    labeled_folder,\n",
        "    target_size=(300, 300),\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    subset=\"training\"\n",
        ")\n",
        "validation = data_gen.flow_from_directory(\n",
        "    labeled_folder,\n",
        "    target_size=(300, 300),\n",
        "    class_mode='categorical',\n",
        "    batch_size=32,\n",
        "    subset=\"validation\"\n",
        ")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 1149 images belonging to 4 classes.\n",
            "Found 285 images belonging to 4 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YCmyDCQ5VNky",
        "colab_type": "text"
      },
      "source": [
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a6RFGlZsu0hW",
        "colab_type": "text"
      },
      "source": [
        "## Build Model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YM2rqCNGq6FN",
        "colab_type": "code",
        "outputId": "135c02e7-f5a7-421b-c1a1-9e73b693e0b4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "import random\n",
        "\n",
        "from tensorflow.keras.applications.xception import Xception\n",
        "from tensorflow.keras.layers import Dense\n",
        "from tensorflow.keras.models import Model\n",
        "from tensorflow.keras.preprocessing import image\n",
        "from tensorflow.keras.layers import GlobalAveragePooling2D\n",
        "\n",
        "import numpy as np\n",
        "\n",
        "base_model = Xception(\n",
        "    input_shape=(300, 300, 3),\n",
        "    weights='imagenet', include_top=False)  # do not include the Fully connected layer\n",
        "# add a global spatial average pooling layer\n",
        "x = base_model.output\n",
        "x = GlobalAveragePooling2D()(x)\n",
        "# let's add a fully-connected layer\n",
        "x = Dense(1024, activation='relu')(x)\n",
        "# and a logistic layer -- let's say we have  classes\n",
        "predictions = Dense(4, activation='softmax')(x)\n",
        "\n",
        "# this is the model we will train\n",
        "model = Model(inputs=base_model.input, outputs=predictions)\n",
        "\n",
        "# first: train only the top layers (which were randomly initialized)\n",
        "# i.e. freeze all convolutional InceptionV3 layers\n",
        "for layer in base_model.layers:\n",
        "    layer.trainable = False\n",
        "\n",
        "# compile the model (should be done *after* setting layers to non-trainable)\n",
        "model.compile(optimizer='Adam', loss='categorical_crossentropy', metrics=[\"accuracy\"])\n",
        "\n",
        "model.summary()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/xception/xception_weights_tf_dim_ordering_tf_kernels_notop.h5\n",
            "83689472/83683744 [==============================] - 2s 0us/step\n",
            "Model: \"model\"\n",
            "__________________________________________________________________________________________________\n",
            "Layer (type)                    Output Shape         Param #     Connected to                     \n",
            "==================================================================================================\n",
            "input_1 (InputLayer)            [(None, 300, 300, 3) 0                                            \n",
            "__________________________________________________________________________________________________\n",
            "block1_conv1 (Conv2D)           (None, 149, 149, 32) 864         input_1[0][0]                    \n",
            "__________________________________________________________________________________________________\n",
            "block1_conv1_bn (BatchNormaliza (None, 149, 149, 32) 128         block1_conv1[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "block1_conv1_act (Activation)   (None, 149, 149, 32) 0           block1_conv1_bn[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block1_conv2 (Conv2D)           (None, 147, 147, 64) 18432       block1_conv1_act[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block1_conv2_bn (BatchNormaliza (None, 147, 147, 64) 256         block1_conv2[0][0]               \n",
            "__________________________________________________________________________________________________\n",
            "block1_conv2_act (Activation)   (None, 147, 147, 64) 0           block1_conv2_bn[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block2_sepconv1 (SeparableConv2 (None, 147, 147, 128 8768        block1_conv2_act[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block2_sepconv1_bn (BatchNormal (None, 147, 147, 128 512         block2_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block2_sepconv2_act (Activation (None, 147, 147, 128 0           block2_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block2_sepconv2 (SeparableConv2 (None, 147, 147, 128 17536       block2_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block2_sepconv2_bn (BatchNormal (None, 147, 147, 128 512         block2_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d (Conv2D)                 (None, 74, 74, 128)  8192        block1_conv2_act[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block2_pool (MaxPooling2D)      (None, 74, 74, 128)  0           block2_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization (BatchNorma (None, 74, 74, 128)  512         conv2d[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "add (Add)                       (None, 74, 74, 128)  0           block2_pool[0][0]                \n",
            "                                                                 batch_normalization[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block3_sepconv1_act (Activation (None, 74, 74, 128)  0           add[0][0]                        \n",
            "__________________________________________________________________________________________________\n",
            "block3_sepconv1 (SeparableConv2 (None, 74, 74, 256)  33920       block3_sepconv1_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block3_sepconv1_bn (BatchNormal (None, 74, 74, 256)  1024        block3_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block3_sepconv2_act (Activation (None, 74, 74, 256)  0           block3_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block3_sepconv2 (SeparableConv2 (None, 74, 74, 256)  67840       block3_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block3_sepconv2_bn (BatchNormal (None, 74, 74, 256)  1024        block3_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_1 (Conv2D)               (None, 37, 37, 256)  32768       add[0][0]                        \n",
            "__________________________________________________________________________________________________\n",
            "block3_pool (MaxPooling2D)      (None, 37, 37, 256)  0           block3_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_1 (BatchNor (None, 37, 37, 256)  1024        conv2d_1[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "add_1 (Add)                     (None, 37, 37, 256)  0           block3_pool[0][0]                \n",
            "                                                                 batch_normalization_1[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "block4_sepconv1_act (Activation (None, 37, 37, 256)  0           add_1[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block4_sepconv1 (SeparableConv2 (None, 37, 37, 728)  188672      block4_sepconv1_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block4_sepconv1_bn (BatchNormal (None, 37, 37, 728)  2912        block4_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block4_sepconv2_act (Activation (None, 37, 37, 728)  0           block4_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block4_sepconv2 (SeparableConv2 (None, 37, 37, 728)  536536      block4_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block4_sepconv2_bn (BatchNormal (None, 37, 37, 728)  2912        block4_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_2 (Conv2D)               (None, 19, 19, 728)  186368      add_1[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block4_pool (MaxPooling2D)      (None, 19, 19, 728)  0           block4_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_2 (BatchNor (None, 19, 19, 728)  2912        conv2d_2[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "add_2 (Add)                     (None, 19, 19, 728)  0           block4_pool[0][0]                \n",
            "                                                                 batch_normalization_2[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv1_act (Activation (None, 19, 19, 728)  0           add_2[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv1 (SeparableConv2 (None, 19, 19, 728)  536536      block5_sepconv1_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv1_bn (BatchNormal (None, 19, 19, 728)  2912        block5_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv2_act (Activation (None, 19, 19, 728)  0           block5_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv2 (SeparableConv2 (None, 19, 19, 728)  536536      block5_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv2_bn (BatchNormal (None, 19, 19, 728)  2912        block5_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv3_act (Activation (None, 19, 19, 728)  0           block5_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv3 (SeparableConv2 (None, 19, 19, 728)  536536      block5_sepconv3_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block5_sepconv3_bn (BatchNormal (None, 19, 19, 728)  2912        block5_sepconv3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "add_3 (Add)                     (None, 19, 19, 728)  0           block5_sepconv3_bn[0][0]         \n",
            "                                                                 add_2[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv1_act (Activation (None, 19, 19, 728)  0           add_3[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv1 (SeparableConv2 (None, 19, 19, 728)  536536      block6_sepconv1_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv1_bn (BatchNormal (None, 19, 19, 728)  2912        block6_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv2_act (Activation (None, 19, 19, 728)  0           block6_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv2 (SeparableConv2 (None, 19, 19, 728)  536536      block6_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv2_bn (BatchNormal (None, 19, 19, 728)  2912        block6_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv3_act (Activation (None, 19, 19, 728)  0           block6_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv3 (SeparableConv2 (None, 19, 19, 728)  536536      block6_sepconv3_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block6_sepconv3_bn (BatchNormal (None, 19, 19, 728)  2912        block6_sepconv3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "add_4 (Add)                     (None, 19, 19, 728)  0           block6_sepconv3_bn[0][0]         \n",
            "                                                                 add_3[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv1_act (Activation (None, 19, 19, 728)  0           add_4[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv1 (SeparableConv2 (None, 19, 19, 728)  536536      block7_sepconv1_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv1_bn (BatchNormal (None, 19, 19, 728)  2912        block7_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv2_act (Activation (None, 19, 19, 728)  0           block7_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv2 (SeparableConv2 (None, 19, 19, 728)  536536      block7_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv2_bn (BatchNormal (None, 19, 19, 728)  2912        block7_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv3_act (Activation (None, 19, 19, 728)  0           block7_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv3 (SeparableConv2 (None, 19, 19, 728)  536536      block7_sepconv3_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block7_sepconv3_bn (BatchNormal (None, 19, 19, 728)  2912        block7_sepconv3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "add_5 (Add)                     (None, 19, 19, 728)  0           block7_sepconv3_bn[0][0]         \n",
            "                                                                 add_4[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv1_act (Activation (None, 19, 19, 728)  0           add_5[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv1 (SeparableConv2 (None, 19, 19, 728)  536536      block8_sepconv1_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv1_bn (BatchNormal (None, 19, 19, 728)  2912        block8_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv2_act (Activation (None, 19, 19, 728)  0           block8_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv2 (SeparableConv2 (None, 19, 19, 728)  536536      block8_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv2_bn (BatchNormal (None, 19, 19, 728)  2912        block8_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv3_act (Activation (None, 19, 19, 728)  0           block8_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv3 (SeparableConv2 (None, 19, 19, 728)  536536      block8_sepconv3_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block8_sepconv3_bn (BatchNormal (None, 19, 19, 728)  2912        block8_sepconv3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "add_6 (Add)                     (None, 19, 19, 728)  0           block8_sepconv3_bn[0][0]         \n",
            "                                                                 add_5[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv1_act (Activation (None, 19, 19, 728)  0           add_6[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv1 (SeparableConv2 (None, 19, 19, 728)  536536      block9_sepconv1_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv1_bn (BatchNormal (None, 19, 19, 728)  2912        block9_sepconv1[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv2_act (Activation (None, 19, 19, 728)  0           block9_sepconv1_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv2 (SeparableConv2 (None, 19, 19, 728)  536536      block9_sepconv2_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv2_bn (BatchNormal (None, 19, 19, 728)  2912        block9_sepconv2[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv3_act (Activation (None, 19, 19, 728)  0           block9_sepconv2_bn[0][0]         \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv3 (SeparableConv2 (None, 19, 19, 728)  536536      block9_sepconv3_act[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block9_sepconv3_bn (BatchNormal (None, 19, 19, 728)  2912        block9_sepconv3[0][0]            \n",
            "__________________________________________________________________________________________________\n",
            "add_7 (Add)                     (None, 19, 19, 728)  0           block9_sepconv3_bn[0][0]         \n",
            "                                                                 add_6[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv1_act (Activatio (None, 19, 19, 728)  0           add_7[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv1 (SeparableConv (None, 19, 19, 728)  536536      block10_sepconv1_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv1_bn (BatchNorma (None, 19, 19, 728)  2912        block10_sepconv1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv2_act (Activatio (None, 19, 19, 728)  0           block10_sepconv1_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv2 (SeparableConv (None, 19, 19, 728)  536536      block10_sepconv2_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv2_bn (BatchNorma (None, 19, 19, 728)  2912        block10_sepconv2[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv3_act (Activatio (None, 19, 19, 728)  0           block10_sepconv2_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv3 (SeparableConv (None, 19, 19, 728)  536536      block10_sepconv3_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block10_sepconv3_bn (BatchNorma (None, 19, 19, 728)  2912        block10_sepconv3[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "add_8 (Add)                     (None, 19, 19, 728)  0           block10_sepconv3_bn[0][0]        \n",
            "                                                                 add_7[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv1_act (Activatio (None, 19, 19, 728)  0           add_8[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv1 (SeparableConv (None, 19, 19, 728)  536536      block11_sepconv1_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv1_bn (BatchNorma (None, 19, 19, 728)  2912        block11_sepconv1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv2_act (Activatio (None, 19, 19, 728)  0           block11_sepconv1_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv2 (SeparableConv (None, 19, 19, 728)  536536      block11_sepconv2_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv2_bn (BatchNorma (None, 19, 19, 728)  2912        block11_sepconv2[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv3_act (Activatio (None, 19, 19, 728)  0           block11_sepconv2_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv3 (SeparableConv (None, 19, 19, 728)  536536      block11_sepconv3_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block11_sepconv3_bn (BatchNorma (None, 19, 19, 728)  2912        block11_sepconv3[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "add_9 (Add)                     (None, 19, 19, 728)  0           block11_sepconv3_bn[0][0]        \n",
            "                                                                 add_8[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv1_act (Activatio (None, 19, 19, 728)  0           add_9[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv1 (SeparableConv (None, 19, 19, 728)  536536      block12_sepconv1_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv1_bn (BatchNorma (None, 19, 19, 728)  2912        block12_sepconv1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv2_act (Activatio (None, 19, 19, 728)  0           block12_sepconv1_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv2 (SeparableConv (None, 19, 19, 728)  536536      block12_sepconv2_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv2_bn (BatchNorma (None, 19, 19, 728)  2912        block12_sepconv2[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv3_act (Activatio (None, 19, 19, 728)  0           block12_sepconv2_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv3 (SeparableConv (None, 19, 19, 728)  536536      block12_sepconv3_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block12_sepconv3_bn (BatchNorma (None, 19, 19, 728)  2912        block12_sepconv3[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "add_10 (Add)                    (None, 19, 19, 728)  0           block12_sepconv3_bn[0][0]        \n",
            "                                                                 add_9[0][0]                      \n",
            "__________________________________________________________________________________________________\n",
            "block13_sepconv1_act (Activatio (None, 19, 19, 728)  0           add_10[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "block13_sepconv1 (SeparableConv (None, 19, 19, 728)  536536      block13_sepconv1_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block13_sepconv1_bn (BatchNorma (None, 19, 19, 728)  2912        block13_sepconv1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block13_sepconv2_act (Activatio (None, 19, 19, 728)  0           block13_sepconv1_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block13_sepconv2 (SeparableConv (None, 19, 19, 1024) 752024      block13_sepconv2_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block13_sepconv2_bn (BatchNorma (None, 19, 19, 1024) 4096        block13_sepconv2[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "conv2d_3 (Conv2D)               (None, 10, 10, 1024) 745472      add_10[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "block13_pool (MaxPooling2D)     (None, 10, 10, 1024) 0           block13_sepconv2_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "batch_normalization_3 (BatchNor (None, 10, 10, 1024) 4096        conv2d_3[0][0]                   \n",
            "__________________________________________________________________________________________________\n",
            "add_11 (Add)                    (None, 10, 10, 1024) 0           block13_pool[0][0]               \n",
            "                                                                 batch_normalization_3[0][0]      \n",
            "__________________________________________________________________________________________________\n",
            "block14_sepconv1 (SeparableConv (None, 10, 10, 1536) 1582080     add_11[0][0]                     \n",
            "__________________________________________________________________________________________________\n",
            "block14_sepconv1_bn (BatchNorma (None, 10, 10, 1536) 6144        block14_sepconv1[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block14_sepconv1_act (Activatio (None, 10, 10, 1536) 0           block14_sepconv1_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "block14_sepconv2 (SeparableConv (None, 10, 10, 2048) 3159552     block14_sepconv1_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "block14_sepconv2_bn (BatchNorma (None, 10, 10, 2048) 8192        block14_sepconv2[0][0]           \n",
            "__________________________________________________________________________________________________\n",
            "block14_sepconv2_act (Activatio (None, 10, 10, 2048) 0           block14_sepconv2_bn[0][0]        \n",
            "__________________________________________________________________________________________________\n",
            "global_average_pooling2d (Globa (None, 2048)         0           block14_sepconv2_act[0][0]       \n",
            "__________________________________________________________________________________________________\n",
            "dense (Dense)                   (None, 1024)         2098176     global_average_pooling2d[0][0]   \n",
            "__________________________________________________________________________________________________\n",
            "dense_1 (Dense)                 (None, 4)            4100        dense[0][0]                      \n",
            "==================================================================================================\n",
            "Total params: 22,963,756\n",
            "Trainable params: 2,102,276\n",
            "Non-trainable params: 20,861,480\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ORr32VF5L1tY",
        "colab_type": "code",
        "outputId": "fb63614c-39cd-4092-8aae-c7b161445f0d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 697
        }
      },
      "source": [
        "# train the model on the new data for a few epochs\n",
        "history = model.fit(\n",
        "    train,\n",
        "    epochs=20,\n",
        "    steps_per_epoch=train.samples / train.batch_size,\n",
        "    validation_data=validation\n",
        ")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/20\n",
            "36/35 [==============================] - 792s 22s/step - loss: 0.5397 - accuracy: 0.8120 - val_loss: 0.2077 - val_accuracy: 0.9263\n",
            "Epoch 2/20\n",
            "36/35 [==============================] - 7s 195ms/step - loss: 0.1840 - accuracy: 0.9347 - val_loss: 0.3016 - val_accuracy: 0.9053\n",
            "Epoch 3/20\n",
            "36/35 [==============================] - 7s 191ms/step - loss: 0.1521 - accuracy: 0.9408 - val_loss: 0.1617 - val_accuracy: 0.9474\n",
            "Epoch 4/20\n",
            "36/35 [==============================] - 7s 192ms/step - loss: 0.0910 - accuracy: 0.9730 - val_loss: 0.1266 - val_accuracy: 0.9474\n",
            "Epoch 5/20\n",
            "36/35 [==============================] - 7s 191ms/step - loss: 0.0814 - accuracy: 0.9739 - val_loss: 0.1542 - val_accuracy: 0.9333\n",
            "Epoch 6/20\n",
            "36/35 [==============================] - 7s 192ms/step - loss: 0.0606 - accuracy: 0.9809 - val_loss: 0.1153 - val_accuracy: 0.9579\n",
            "Epoch 7/20\n",
            "36/35 [==============================] - 7s 194ms/step - loss: 0.0645 - accuracy: 0.9774 - val_loss: 0.1189 - val_accuracy: 0.9614\n",
            "Epoch 8/20\n",
            "36/35 [==============================] - 7s 191ms/step - loss: 0.0523 - accuracy: 0.9826 - val_loss: 0.1787 - val_accuracy: 0.9333\n",
            "Epoch 9/20\n",
            "36/35 [==============================] - 7s 199ms/step - loss: 0.0539 - accuracy: 0.9791 - val_loss: 0.1225 - val_accuracy: 0.9684\n",
            "Epoch 10/20\n",
            "36/35 [==============================] - 7s 198ms/step - loss: 0.0380 - accuracy: 0.9896 - val_loss: 0.1591 - val_accuracy: 0.9474\n",
            "Epoch 11/20\n",
            "36/35 [==============================] - 7s 191ms/step - loss: 0.0256 - accuracy: 0.9922 - val_loss: 0.1148 - val_accuracy: 0.9649\n",
            "Epoch 12/20\n",
            "36/35 [==============================] - 7s 191ms/step - loss: 0.0193 - accuracy: 0.9965 - val_loss: 0.1280 - val_accuracy: 0.9579\n",
            "Epoch 13/20\n",
            "36/35 [==============================] - 7s 190ms/step - loss: 0.0176 - accuracy: 0.9965 - val_loss: 0.1209 - val_accuracy: 0.9614\n",
            "Epoch 14/20\n",
            "36/35 [==============================] - 7s 191ms/step - loss: 0.0105 - accuracy: 0.9991 - val_loss: 0.1247 - val_accuracy: 0.9649\n",
            "Epoch 15/20\n",
            "36/35 [==============================] - 7s 188ms/step - loss: 0.0115 - accuracy: 0.9983 - val_loss: 0.1251 - val_accuracy: 0.9649\n",
            "Epoch 16/20\n",
            "36/35 [==============================] - 7s 190ms/step - loss: 0.0087 - accuracy: 1.0000 - val_loss: 0.1204 - val_accuracy: 0.9649\n",
            "Epoch 17/20\n",
            "36/35 [==============================] - 7s 187ms/step - loss: 0.0070 - accuracy: 0.9991 - val_loss: 0.1159 - val_accuracy: 0.9719\n",
            "Epoch 18/20\n",
            "36/35 [==============================] - 7s 191ms/step - loss: 0.0083 - accuracy: 0.9974 - val_loss: 0.1279 - val_accuracy: 0.9649\n",
            "Epoch 19/20\n",
            "36/35 [==============================] - 7s 190ms/step - loss: 0.0100 - accuracy: 0.9983 - val_loss: 0.1354 - val_accuracy: 0.9684\n",
            "Epoch 20/20\n",
            "36/35 [==============================] - 7s 190ms/step - loss: 0.0066 - accuracy: 0.9991 - val_loss: 0.1315 - val_accuracy: 0.9684\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f6r7tfPZ7P1P",
        "colab_type": "code",
        "outputId": "738d2cde-fb3e-4cbf-ec2f-411dbaa723e7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        }
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "plt.style.use('dark_background')\n",
        "\n",
        "# Get training and test loss histories\n",
        "training_loss = history.history['loss']\n",
        "test_loss = history.history['val_loss']\n",
        "\n",
        "# Create count of the number of epochs\n",
        "epoch_count = range(1, len(training_loss) + 1)\n",
        "\n",
        "# Visualize loss history\n",
        "plt.plot(epoch_count, training_loss, 'r--')\n",
        "plt.plot(epoch_count, test_loss, 'b-')\n",
        "plt.legend(['Training Loss', 'Test Loss'])\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Loss')\n",
        "plt.show();"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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EgkSFoJjCewnOczULEZHgUSEoZi3wAWDcTkREJEh0sriYdOBWt5MQEQkiR/cIkpKS2LBhA5mZmaSkpJQYfs8995CRkUFqairLly+nXbt2TqZTJerEXkTCiXEiIiMjTVZWlmnTpo2JiYkxaWlppl27dkXGady4se95z549zYIFCyqcr8fjcSRf/1gJ5o0S70cYaOn4shUKhcKJKG/b6dgeQefOncnKyiI7O5v8/HxmzJhB7969i4xz8OBB3/OGDRtijHEqnSr5GUgo8e4I4HvsNUUiInWHY+cI4uLi2LZtm+91Tk4OV155ZYnx7r//fh566CHq1avHb37zm1LnNWTIEP70pz8B0KJFC2cS9rMVKJpJfeBB72NPYIrjOYiIBIvrVw3997//5YILLiAlJYUnnnii1HEmT55MYmIiiYmJ5OXlOZ7TVuBc/KvkIOBM4BDQu9RpRERqq0oVggYNGhARYU+ftm3blp49exIdXf7ORG5uLq1atfK9jo+PJzc3t8zxZ8yYQZ8+fSqTjuO2AlFAPGBX0f8CK4BXgN8CDdxKTUQk4CpVCD7//HNOP/10zj33XBYvXswdd9zBa6+9Vu40Ho+Htm3bkpCQQExMDP369WPOnDlFxrngggt8z2+88UYyMzOr/gkcsAp4HsgH4BbgF8AzwGzs4aEebqUmIuKICs82f/vttwYwQ4cONY888ogBTGpqaoXTJScnm40bN5qsrCwzcuRIA5jRo0ebnj17GsBMmDDBrFmzxqSmpppPP/3UtG/fvkZnvp0Jj4GNBiINRBnYY2Cq61cAKBQKRVWigm1nxTP47rvvTJcuXczXX3/t21hnZGSE4ocJWNQD05DrDRgDQ/yGTTOw29ii4P4fV6FQKCoTNb58dPjw4Tz22GPMmjWLdevW0aZNG5YuXVqZSWutzUAbHgV2AtP8hswGWgBXuZGWiIgjqlRVIiIiitwIFuwI1h7BNC41YAw8VmxYIwNHDTzreoVXKBSKykaN9wimT59O48aNadCgAWvWrGHdunU8/PDDlZm01nqZR2jAIWBSsSGHgE/QZaQiUldUqhC0b9+egwcP0qdPHxYsWECbNm244447nM7NRa34in4MZjIR7C9l+GzgAqB9kPMSEQm8ShWCmJgYoqOj6dOnD3PmzOHEiRMh0xyEM4ZjiOBhnqNlqcPneh+1VyAitV+lCsFLL73Eli1baNiwIZ9//jnnnXceP/30k9O5uaQp8Cea8DYvsI2jpY6zA1iJCoGI1BXVOvEQFeXO5ZPOnyx+zIAxcGklxzvH9ZNACoVCUVHU+GRxkyZNGD9+PB6PB4/Hw7PPPkvDhg0rM2ktcxowDFgArKYNhc1MlGa297GX82mJiDioUoXg1Vdf5eDBg/Tt25e+ffvy008/MXXqVKdzc8GdwNnY5iTAAzxW5rjrgCx0eEhE6oIKdylKa06iMk1MOBHOHRqKNLYpiW98730LZl650zxr7D0FjVzf7VMoFIryosaHho4cOcLVV1/te33VVVdx5MiRykxai/QCLgTG+d7ZCrQud5rZ2MNJv3MwLxERZ1WqY5p7772XadOmERsbC8C+ffsYOHCgo4kFXwq2YYkPfO9sxTY6XbavgDzs4aH3nEtNRMRBlSoEGRkZXH755TRu3BiwXUwOGzaM1atXO5pc8FwDdAHuBwp8724FGgPNgH2lTlcAzMMWgmjghLNpiog4oEo9lB08eNDXz/BDDz3kSELueBTYDbxW5N35wO3AsXKn/RBbKro5kpmIiNOq3VVlYY9ltV97bD/E/waKnvfIBN7FdmZftiXe6XT1kIjUTtUuBHWniYmHgcPAxBJDIoBrgYvKnf5nbDFQIRCR2qnccwQ//fRTqRv8iIgI6tev71hSwXMuMAB4EdhbYqgBPgJeBso/EDYbe9XRr4CMAOcoIuKscgtBkyZNgpWHS4Zhu6l/rswxKr6EFOwJ45PYvQIVAhGpXap9aKj2awLciz0LsKXMsSpXCHYBX6PDQyJSG4VxIbgHWwzGlTtW5QoB2MNDnSivdSIRkVAUpoWgHjAce5I3tdwxt2J7KK64ib3CRui0VyAitUuYFoIB2BPFz1Q45lvYburLv5cAYBOwARUCEaltwrAQRACPYPcEPq5w7B+wR/8rd8/wbOB6ILa6yYmIBF0YFoKbgHZUZm8A7GVVA4COlRp7NhADJFcvNRERF4RhIXgEe5XQzEqNfRJ4FfhDpcZeCexEh4dEpDYJs0LQFdsm0L/wb1yuPCeBbVT2yqGT2I7tk7F7BiIioS/MCsEjwB5gSpWmqvwlpGAPD8VizxWIiIS+MCoEv8QesplIRc3IFVe1QvAxtu0iHR4SkdrB0UKQlJTEhg0byMzMJCUlpcTwBx98kLVr15Kens7HH3/Meeed52A2/bAXgf6nylNuAc6hsgd7jgKLUaf2IlKbONI/ZmRkpMnKyjJt2rQxMTExJi0tzbRr167IONdff72pX7++Acy9995rZsyYUaN+NyuOX1ZrujPBxFdpmoEGjIGOrvdTqlAoFBCAPouro3PnzmRlZZGdnU1+fj4zZsygd++ih0uWLVvm6/t4xYoVxMc73TzDxmpNtRvIqdIU87Ano3V4SERCn2OFIC4ujm3btvle5+TkEBcXV+b4gwcPZsGCBaUOGzJkCB6PB4/HQ4sWLQKea0XqAyOw1xxVzh7gS1QIRKQ2CImTxQMGDOCKK65g3LjSG4CbPHkyiYmJJCYmkpeXF+Ts7F3Ffwd6VGmqD4HLgITAJyQiEkCOFYLc3FxatWrlex0fH09ubm6J8bp3787jjz9Or169OH78uFPp1Eg+sJ2qXDkEpxqh00ljEQl9jpyYiIqKMps3bzYJCQm+k8Xt27cvMs7ll19usrKyzAUXXBCQEx5OxhdgPqnydKsNfOr6SSKFQqFw5WRxQUEBQ4cOZdGiRaxfv553332XdevWMXr0aHr27AnAuHHjaNSoETNnziQ1NZXZs2dXMFf3VO1egkKzsXcyNwt0OiIiAeV6papKuLVH8A8wP4OJqNJ0iQaMgT+6vt4UCkV4hyt7BHXNU0Bj7Fqr/EpbhT27oKuHRCR0qRBU0s/YOwPqA98A91VqKgPMAX4HnOZUamEiDhiDLcciEkgqBFV0Orah6f8C7wFNK5xiNtAI+I2jedVtUcC7wBPAVJdzEal7VAiqaB+2a5uHsReGpgJdyp3iU+AgOjxUE/+H7TB0LnArtr9pEQkUFYJqMMB44Brv83+VO/ZxYCG2bEQ4nVod1A14HHgNuw5nYXuXu8rFnETqFhWCGvgG6AD09b6OBc4sdczZ2PZLE4OSV93RDJgOfA884H3vLuzFvO9S1toWkapRIaihA5xqkG4ikA78usRYH2EbqtDhoaqZDJwN9AcOed87gD08dAbwNvoKi9Sc/osC6GlgP7Zrmr9hT3Fa+4DPUSGoiiHYDf7jwLfFhmUA9wPdgdFBzkuk7lEhCKA1wBXA68CT2NPE5/qGvgtcDLyE+jOuSDtgAraDn/FljPMa8Ar2SqLfByGnGOyVX/qXkbpH3+oA+xm4G/gj9sr3k74hL2NvS/sTtkSc5UJ2tcFp2EM+h4CB2NPxZXkAe93WG1SnAZDKOwNYAnyCPVylk/5St6gQOGQ6cBHwI3Yl348hhiexp5Y7Yu867hjEjNphL3o9PYjLrI6x2Oa7B2HXXnmOArdh1/BMoJ4D+VwIrMBeJDwTW+YnObAcEXe53gZGVcKttoZqEklgDJiVYBqBgcsMbDHws4H+Di+/noFRBo4Zm8bnBpq6vk5Kj997c3yuitP18k733wDn82sDew3sNNDV+94/vMt6IQTWl0JR+ahg2+l+ggH8MCEbt4I5AeYV33stDCwzYAw8bSDSgeVeZWCtdxlvGBhs4KixzWPHu75OikZLA7sMpBpbvKo6/Vjv5xwQoHwGGzhuYI2BhGLDnvUua3wIrDeFonKhQhAi8RR2z+Bm33vRBv5j7NsfGYgN0LIa+813i4Hf+Q273sB+Az8YaB+g5dU0IgwsNnDYwEXVnEeUsYX1UA0/V6SBZ7zrboGBJmWM94J3nH+GwPpTKCoOFYIQiWgw34DZCiamyLAhxh662WjglzVcTk8D2wwUGPiXgYaljPMrA9uNPexxlevrBR42YAz8vxrOp6WBHQbWG2hUjekbGJjlzeXfxhaX8saf5B33ryGwDhWK8kOFIITiF2AuLHXY1cYei95v4MZqzPtsA+8YMAbSDXSuYPzWBjYYe56it4vrpJOxh2BmBmh+1xk4YWBGFaeLM/Ctd9qhlZwmwsAU7zof6eI6VCgqDhWCEI1flnivlYFVxv6aH1GFed1t7K/7IwYeM/aQU2Wma27ga2M3fkNcWAeNDGwysNUE9gT2owaMgQcqOX5HAzkGDhhIruKyIg1M8y7vYRfWoUJRuVAhCMEYDuYomEtLDKtvYLoBY+Bt7+uy5nOBgU+84y4zcGE1cmlgYJ53Hv8X5PUw1dgidI0D8/7Q2D2NLhWM18fY8wpbDFxSzWVFef9WxsBfgrwOFaEdDYztqfAuYy8KedLAn4zdC+9ioI13HOdzUSEIwWgBZjuYDDCnlTrOI8buGXxr7J6C/7BoAynGHtbZZ+yx9Yga5BNt4FUDxsCLpuJj44GIft7l/dWh+cca2GzsSfEWZYxTuI6/NvbQWk2WF23gPe9nui8I608RWhFj4GIDtxt4ytgfIlnGfh8K42ix1/7xk4FMA18YeN/ARGN/mN1j7I+VrsYWjdOqnaMKQYhG4f0Fz5U5TrKxG/qdBrp53+tk7CWWxtgNzzkBzOkp73xnGTjdwc+eYOy5kOXG2aJzubGHyxaZopfnxhh4xftZ3w7gZ40xMNs738EOfi6FexFh4Hxj710ZaeAtYy/HPu79uxvv89XGfrce9457vnfaaGP/ZzsYezXfQGMPZf7L2CMBH3un3eU3P//4c7VzVyEI4Xje+xfuUeY4Fxp7Uve4gXeNPZSSa+Bmh3L6s7G/kpcbaObA/KMNfGVsgTsvCOt4sKHInkczA5963xttarYnVVrUM/ZS4AIDdwZoff3GwAQD3xj4wNiC3d/YGxOdLNgKu/67edf5V8YeRvTfMG829tf/U8bu5V5i7A+CQC37HGN/0CQZ+32q/lWF5W07oxFXpQC/wr+l0uI2AVdiG634A/AiMALbHLMTJmI743wTWI7tbzmn3CmqZhTQFdvUxg8BnG9ZpgBXY5sB/BF4ENsu0QDgLQeWdxy4BdtX9VQgH9t2UlXEAsnYjniSsR2iHsE2dfFLbB95hQ0XnsT217DOL9YCG7AtX1VVJNAC2/x3YZzlfWzhXW6kN6L8nlfmNcAuYBv2O+UfO7BNtYeCNkCSN34DNMHmtgLbZtgaYDV2XR92MI8T2PWyw8FlWCoELjtKaf0XFHcA6Int3Ga7wxmB7Y15N7ZDna+x/xDrAjDf64CR2I3zzADMr7L+jG3XaRL2c/0G+MrB5R3FNjk+H5iGLQbvVTBNG+zfuBdwLXaDuxN4H1tUPubUhj0GaAu0Lxa/o2h7S9kULRCbsf1nl7aRL4wWlN4E2TEgD1voCrAFqDAKynhe/HUkcCm2tdiGxeZ/EluoixcI/8j1Lj/QGmL/Cws3/m2972djfywswjYU+ZMDyw4NKgQhIgLbJNwe4NVSxzAEpwgU+gzbTeRC4AvsBuqLSk4bge1d7EzshuZMbzwBZAJ/CXSyFTiC/ZU+Avgn9h88GMvsiV1/b2GLwWy/4RHYHut6eeNS7/trgWexG/+V2L97cfmc2rj7iwJ+QdHicDG234bSGhs8iC02u4As4Eu/1zuLPQ/0HmgsEF9GXIgt1k1LmW439v9gO7Yw+D8WPt+Nf7u/JUVgGzYs3PBfjS2gh4GlwAvYjX9mDT5f7RJB6d+0kOXxeEhMrHtdPkZgW9/viu3+MnS+gudh/ykSsE1ob6HkBr746xaU/htjL/BbbNPR4aIx9i/bEdvT2nHshr8n0BK7+/85dsM/F3uYJ9AisXsc52M36IUb+CMOLCuQGmEbcy8sEK2wPXzEeR/Pxa7D4nswJ7B7F8ULxX5sX9c3YPd+ANKw3+9F2ELoxB5HaChv26k9ghBhsK3vZ2DPBlxFqBwx/QG4BuefdmQAABJxSURBVJiHPcxR3D7sL7DCX5Vfe5/v9nt/t1+ExqcKnoPYQzYfYw/zgN0YL8Bu/BdgN1BOOok9LLTZ4eUE2iFgozfKEoXdqPsXhzi/x7bYQ5JneMffjS3Mi7yPO51IvNZRIQgh27G/ud8H/oo9kBIa9mB31W/A7j4XbtTzsIcppHwHgB7AvcA32D0ArbfAKODUYaHy1AeaY/cOatVBkKBQIQgxH2DPETyCvT4okNfr1MwR7C9YqZ592PMT4o4jhNJ/U6hxtIeypKQkNmzYQGZmJikpKSWGd+vWjW+//Zb8/HxuvfVWJ1OpVYZhd2b1tRWRYHCsEERGRjJx4kSSk5Np3749/fv3p127dkXG+eGHHxg0aBBvveXE9dy11yHsFctgr/kQEXGSY4Wgc+fOZGVlkZ2dTX5+PjNmzKB3795Fxtm6dSurV6/m5MnyLvUKXzdgb13p53YiIlKnOVYI4uLi2LZtm+91Tk4OcXFx1ZrXkCFD8Hg8eDweWrRoEagUQ96n2AvaJmEv4hQRcYKj5wgCZfLkySQmJpKYmEheXp7b6QRNAXAH9o80jVryxxKRWsexbUtubi6tWrXyvY6Pjyc3N9epxdVZ2cBQ7MnjR1zORUTqJscKgcfjoW3btiQkJBATE0O/fv2YM0eXH1bHG9jmywpvO7oE23RaF4q2LCMiUl2ONeGanJxsNm7caLKysszIkbZP19GjR5uePXsawFxxxRVm27Zt5tChQyYvL8+sWbOmRk2phks8wKl2cI+C+QrMeDCxIZCbQqEIzShv26m2hmqplth2ibp4Hy/B3mifj21arSO2sYevge+oyy2oiEhlqK2hOuhHYJY3wB7jK7wItx62Xcs/eF8fw7asUvTiXRERSxei1BH+d2L8DdvW5DnYxpdfwN6PUOgJTrW4LiKiQlCHFe41PAo87n3vF8Bj2P6r3uZUK/giEr5UCMLMZmzPAmOx/URlAB9i9x5EJDypEISh3dgOI1sD/wdcgG0bE2y3MiISXlQIwth+YAz2iqOj2C4+VnCqy3oRCQ8qBOITCYzHtmu0AFgF3IztRrO6/KdNpPSec0XEXSoE4pMP/Bd7qOhuoAm2o5ziewf1secZrsR2+10oBZiB7f57HbZfsyV+w9/E9lq8ANvnwi8D/QFEpFpUCKSEfGyTFu2APsBC7/uPAz8BP2PbQFqB7U2tUBfgcuyXag3wFvCu3/B7gJew5yYmYK9cGu83vHGAP4eIVI5uKJMyFQCz/V43A17Bdve9y/vo34zgzRXMb5k3wBaDJGCt9/XFQCrwFbbwLATSqWW3vYvUUioEUmkPB3BeW4GX/V4fBMZhD0P90xs/Ajdim8ioyOlAI+xhqwbex2jseQ6Aa7FNcHzMqSukRMRSIZCQ8AP20NPj2A12D2xRyPQOTwH+iL2DunBDHwmc6x3+EnBnsXnmcepy2GHYu6yPAXOB17F7HScC/1FEah0VAgk5O7FNb7/h914usAV7/uJnvyj0JrASOOJ9/wh2L6PQUOxNdP2AAcBt2BvpKjqcJRIOVAikVnjTG2VZQtErlIrb4Y1vsE1uJAGHvcPOBBZjm9x4E9he02RFahldNSRh5wQwn1Mnrs8GDmH3GLZhW2r9I/bwk0g4UCGQsLcG6Ia9f2IMtmXWNzh1fqE5NbupTiTUqRCIeG0G/optofVy7AlssPdUbAH+DnRG/zRS9+g7LVKMwd7DUGgadq8hBXtCeifwpAt5iThFhUCkAu9h72c4E3vV0UfYO6zBnkdYim3N9XJXshOpORUCkUraB7wDDASe974Xh72v4e/YO6O3A1OwzXOI1BYqBCI1kIVtfO9s7A1tn2HvTShsZfUq4BFsExoioUqFQCQAdmGvNOqPPYSU6n3/t8Az2HMM27Atrz7PqauQmmL7gRBxkwqBSIAV+D3/GxAP/D/gc2yRSOJUY3qvYO+C3gjMA54DBgUrUREv3Vks4rBc7HmDKaUMex1bBNp64zpgPfCad/hn2OKRCXwPHMD29VDYvHdP7N7Fz9g7pX/GdkVaeHd0PeB4ID+M1EkqBCIumusNf038ni8COmKLxK+xfTZ8yKlCMBl7fsLfdOyd0WA7B6qPLRAHsec03sDuiQC0xLbyKuFNhUAkxPzk9/wfpQyP8XveDdv8dgO/2OE3fIzf8KbAhd5HvI87OLWXURgLsHslEj5UCERqmXy/55lljmU9U86wAuDPQHtv3AQMxu45rAcuwt5MV1ggMr3TfI09/NQGuAFbmOr5xavYw2FdsXsm9bzjxHjnPcY7/ELgV9jLcvcB+/0e61qHRDHYK8kOY5tSDzUqBCJh6iC2j2p/zTl1TuE07Ia5O/beiUI9sC29dsD2A1Hcx9gNfQK2ue987zwLsIe2xnnH6wk8W8r0rYAc4D7sSfZ9fnEYGIHtV6IbtoD5N0t+hFONCTbHboALhxXve6KpN5/TsBvp07Eb6cKOkK7F3idyut84+zl1/uZxbL/bhf1jNMAWzD97h3+FvWy4Aac2tAuBZO/z97z55WEP4eV5l/2xd/gF3uXtxfni4WghSEpK4vnnnycqKopXXnmFsWPHFhler149pk2bRqdOndizZw+33347W7dudTIlESnHHr/n6dgrnMCet/gF9pf6Zu97C7AdAx33i3xObbTe9kZZXsFuGJsVi93e4fuxJ72bYW/Qa4bdqD7qHd4X28+Ev+PYjTbYgnOX37AT3s/X0vt6KrZPbn/fez8n2GZEfltseAanCkEXShaio37jLsD261047Bi2zapC0cB52IJ6JrbQvMqpQrAWuzd1Ersu3gHuxxmOFYLIyEgmTpzIDTfcQE5ODh6Phzlz5rB+/amjj4MHD2bfvn20bduW22+/nbFjx9KvXz+nUhKRavqJU/dGFDrijeo64I2yVFRIHgWeouj5kdP9hr+GbRvKf7h/Z0X/BeZgN9BHvY/+52eGYDfER/2G+3eG1LOc3MAeAitP8SLkv+cQid0La+GN5sDqCuZXU8aJ6NKli1m4cKHv9YgRI8yIESOKjLNw4ULTpUsXA5ioqCize/fuCufr8XgcyVehUCjqcpS37XTshrK4uDi2bdvme52Tk0NcXFyZ4xQUFHDgwAGaN29eYl5DhgzB4/Hg8Xho0aKFUymLiISlWnFn8eTJk0lMTCQxMZG8vDy30xERqVMcKwS5ubm0atXK9zo+Pp7c3Nwyx4mKiiI2NpY9e/YgIiLB41gh8Hg8tG3bloSEBGJiYujXrx9z5swpMs6cOXMYOHAgALfddhuffvqpU+mIiEgZHLtqqKCggKFDh7Jo0SKioqJ49dVXWbduHaNHj2bVqlXMnTuXKVOm8MYbb5CZmcnevXt1xZCIiAsisGeNaw2Px0NiYqLbaYiI1CrlbTtrxcliERFxjgqBiEiYq3WHhnbt2hWyzVC0aNEipC9vVX41E+r5QejnqPxqpib5tW7dmrPOOqvM4a7f8VZXItTvelZ+dTu/2pCj8gvN/HRoSEQkzKkQiIiEuSjgr24nUZd89913FY/kIuVXM6GeH4R+jsqvZpzIr9adLBYRkcDSoSERkTCnQiAiEuZUCKooPj6eTz/9lLVr17JmzRr+8pe/lBjnuuuuY//+/aSmppKamsqTTz4Z1Byzs7PJyMggNTUVj8dT6jjPP/88mZmZpKen06FDh6DlduGFF/rWS2pqKgcOHGDYsGFFxnFj/U2ZMoWdO3eyevWpfqCaNWvG4sWL2bRpE4sXL6Zp06alTnvnnXeyadMmNm3axJ133hmU3J555hnWr19Peno6H3zwAbGxsaVOW5nvglM5jho1ipycHN/fMTk5udRpk5KS2LBhA5mZmaSkpAQtvxkzZvhyy87OJjW1eB9sltPrsKxtSrC/f65fG1ubomXLlqZDhw4GMI0aNTIbN2407dq1KzLOddddZ+bOnetajtnZ2aZ58+ZlDk9OTjYfffSRAcyVV15pVqxY4UqekZGRZseOHea8885zff1169bNdOjQwaxevdr33tixY01KSooBTEpKinn66adLTNesWTOzefNm06xZM9O0aVOzefNm07RpU8dzu+GGG0xUVJQBzNNPP11qbpX5LjiZ46hRo8z//u//VvgdyMrKMm3atDExMTEmLS2txP+TU/n5x7PPPmuefPJJV9ZhWduUYH7/tEdQRT/++KPvl8OhQ4dYv359iZ7XQl3v3r2ZNm0aACtXrqRp06a0bNmygqkCr3v37mzevJkffvgh6Msubvny5ezdu7fIe7179+b1118H4PXXX6dPn+K9zNpfs0uWLGHfvn3s37+fJUuW8Lvf/c7x3JYsWUJBQQEAK1asID4+PqDLrKrScqyMzp07k5WVRXZ2Nvn5+cyYMYPevXsHPb++ffvy9tvl9ZDsnLK2KcH8/qkQ1EDr1q3p0KEDK1euLDGsa9eupKWl8dFHH9G+ffug5mWMYfHixaxatYohQ4aUGF6ZbkSDoV+/fmX+87m5/gqdffbZ/Pjjj4D9Zz377LNLjBMK6/Luu+9mwYIFpQ6r6LvgtKFDh5Kens6UKVNKPbQRCuuvW7du7Ny5k6ysrFKHB3Md+m9Tgvn9c6w/grquYcOGvP/++wwfPpyDBw8WGfbdd9/RunVrDh8+THJyMh9++CEXXnhh0HK75ppr2L59O2eeeSZLlixhw4YNLF++PGjLr4yYmBh69erFY489VmKY2+uvLMYYt1MoYeTIkZw4cYLp06eXOtzN78KkSZMYM2YMxhjGjBnD+PHjGTx4cFCWXRX9+/cvd28gWOuwvG0KOPv90x5BNURHR/P+++8zffp0Zs2aVWL4wYMHOXz4MAALFiwgJiaG5s2bBy2/7du3A7B7925mzZpF586diwyvTDeiTktOTua7775j165dJYa5vf4K7dy503fIrGXLlqXm6ua6HDhwIDfddBMDBgwoc5yKvgtO2rVrFydPnsQYw+TJk0tdttvfxaioKG655RbeeeedMscJxjosbZsSzO+fCkE1TJkyhfXr1/Pcc8+VOtx/Fy4xMZHIyMig9cXcoEEDGjVq5Hveo0cP1qxZU2ScOXPm+K4uuPLKKzlw4IBvFzRYyvsV5ub68+fflerAgQOZPXt2iXEWLVpEjx49aNq0KU2bNqVHjx4sWrTI8dySkpJ49NFH6dWrF0eOHCl1nMp8F5zkf97p5ptvLnXZlenS1km//e1v2bBhQ5kbz2Ctw9K2KcH+/jl+RUFdiquvvtoYY0x6erpJTU01qampJjk52dxzzz3mnnvuMYD585//bNasWWPS0tLM119/bbp27Rq0/Nq0aWPS0tJMWlqaWbNmjRk5cqQBiuQHmP/85z8mKyvLZGRkmE6dOgV1HTZo0MDk5eWZJk2a+N5ze/299dZbZvv27eb48eNm27Zt5u677zZnnHGG+fjjj82mTZvMkiVLTLNmzQxgOnXqZCZPnuyb9q677jKZmZkmMzPTDBo0KCi5ZWZmmh9++MH3HZw0aZIBzDnnnGPmz59f7nchWOtv2rRpJiMjw6Snp5vZs2ebli1blsgR7FVsGzduNFlZWY7lWFp+gJk6dWqR/ws31mFZ25Rgfv/UxISISJjToSERkTCnQiAiEuZUCEREwpwKgYhImFMhEBEJcyoEIsWcOHGiSAupgWwRs3Xr1kVawBQJBWpiQqSYI0eOBLVpbhG3aY9ApJKys7MZO3YsGRkZrFy5kl/84heA/ZX/ySefkJ6ezscff+y75f+ss87igw8+IC0tjbS0NLp27QrYZg1efvll1qxZw6JFizj99NNd+0wihRy721ChqI1x4sQJ3x2eqamppm/fvgZsu/SFd5becccdvj4T5syZY+68804D9i7PWbNmGcDMmDHDDBs2zIBtd79JkyamdevWJj8/31x22WUGMO+8844ZMGCA659ZEfbhegIKRUjFwYMHS30/OzvbtGnTxgAmOjra5OXlGcDs3r3bREdH+97fvXu3AcyuXbtMvXr1isyjdevWZtOmTb7Xjz76qHn88cdd/8yK8A4dGhKpAv+mgKvbLPCxY8d8zwsKCoiO1qk6cZcKgUgV3H777b7Hr7/+GoCvvvqKfv36ATBgwABfW/WffPIJ9913HwCRkZE0adLEhYxFKqafIiLF1K9fv0hH5gsXLvR1oNOsWTPS09M5duwY/fv3B+CBBx5g6tSpPPLII+zevZu77roLgGHDhvHyyy8zePBgCgoKuO+++9ixY0fwP5BIBdT6qEglZWdnc8UVV7jSN4KIk3RoSEQkzGmPQEQkzGmPQEQkzKkQiIiEORUCEZEwp0IgIhLmVAhERMLc/we/sQq49nmFbwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XdH5DNsC73RD",
        "colab_type": "text"
      },
      "source": [
        "# Prediction\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x3rxAxKFAiVq",
        "colab_type": "code",
        "outputId": "77353e4b-c0e8-4c5f-b571-6dca11012a2e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "from IPython.display import Image\n",
        "from keras.preprocessing import image\n",
        "\n",
        "print(train.class_indices, validation.class_indices)\n",
        "predict_to_cls = {v: k for k, v in validation.class_indices.items()}\n",
        "def test(size=10):\n",
        "\n",
        "    for img_path in random.sample(validation.filepaths, size):\n",
        "        display(Image(filename=img_path))\n",
        "        img = image.load_img(img_path, target_size=(300, 300))\n",
        "        x = image.img_to_array(img)\n",
        "        x = np.expand_dims(x, axis=0) \n",
        "\n",
        "        images = np.vstack([x]) / 255.\n",
        "        predict = model.predict(images)\n",
        "        print(predict, np.argmax(predict[0]))\n",
        "        str_class = predict_to_cls[np.argmax(predict[0])]\n",
        "        print(\"label:\", img_path.rsplit(\"/\", 2)[-2])\n",
        "        print('Predicted:', str_class)\n",
        "\n",
        "\n",
        "test(10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{'boba': 0, 'hojicha': 1, 'other': 2, 'rotate': 3} {'boba': 0, 'hojicha': 1, 'other': 2, 'rotate': 3}\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[2.3267802e-07 1.1736161e-09 7.0297745e-07 9.9999905e-01]] 3\n",
            "label: rotate\n",
            "Predicted: rotate\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[2.8743854e-05 8.9911322e-07 1.7912815e-06 9.9996853e-01]] 3\n",
            "label: rotate\n",
            "Predicted: rotate\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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otwYPEbXjAxSuvlBRg/LgEn8T+VJOwLk4xW5HiLwvbEZJcOxz/vMP6VgwSueca26vq02wdJCM/jUtt0U9gKrXjifUHcMPmlOPpmrkIGAK5JO8mY6E0fIJqxEQVwBUCEY6dKmhGARmtIDJY13N0471MqAfKoqKIFujYwfzqdAc5rWO5SSaFKDHApjorINy96mC5Q5HPakCbuCP0qh2RUliIPHK96pXNuHUqRwe1a5gIXOecdMVRuYmX5T+dTKLFymLcWwRyMEVTe3DNk1tTwhhyM/hVcwRg8rj8K5JRIlG+5+n9vsGABwBxU63CoCS4GB3rj/HPxT8MeBbVpNSvo2uAv7u0SQeY/pgZrwr4kftI+OfEcps9CvpNJtnUoFikG9jnru25B9hX2M6ySPop1FFH0R4t+KngfwfAw8SeJLW1dRnymlBc/RR8x/KvOda/a7+Ftm5NtcXtyQeDBa4B/FiK+e7y1tZbiO/13UJrm4Jw0kkrEsfx60moeH7hrM3Ph+1R2Izhjw3fHNc8682tDmliJdEe1f8Ns/D5rhbaTStSTcB8xjQ4/AN9K3NA/aa+GfiW8j0+LW2tZpeIxeRFAx9N3T+VfOWj+Gk1JFn1OyWORjuUhcY/CsnxzpdjYwRqGkXkgbOMf8A1q5/b1UrszeKmldo+05dTju7RmhmDhhwy8giuL1edjMQTxzgH618xeHvHfjLwNFbro/iK6jRmXylYlkzjgYPqP5V6/4F+LieM4vserwpb6ggG9Aflk/2l/w7VpDEKbs9DWniYVDpdQuVihaQnGFPNUvBulXWranLq0kfyg7Y81BrExuXSxg5aRsYXnNer+CPCthpPh+3jljUS7P3mOu7+tbxVzW12c5PpjxxGPaRzXO694SivvLghWFdzASSXG4Koz1OxSenoCa9M1HQUmJaBwfY9awdS0eWBzuQ/lTsEopnl8Xwtt5bthfsFCA7vs54LHpz3x61z+v+EJNC1KOwM/mxzqxjc8EYxnI/H/8AV39avkMSFzxjpXnWpTnVdck1Bn3ovyW/suefzP8ASolFGMqairowrz4cf25pU1mHP76MoQeeorP/AGNfiRrPgjx3ffDO9ne0u7W4ae0O7mOeNgHCn14DDH90nvXq3hDTZJ0DyJwK8J/aQ06T4O/tBaZ8QLCNljvBFdkKAMsp8uVfxUf+PVy106Vqi6GD/dSUz7b+PfhHTNd1ZvFWk2QS0160j1O3XYAEMwzIg9llEi/8BrwW11nW/hL4qTVbFS8CsVuLcnAljOMr3x7HsRX0t8PLq1+If7Pul6hHIs76Tey2e9Gzi3lUTw/X5/tNeSfF3wH5kDzJDyM9K7mlKCkjrndpNHP/ABl8HabrGlxfFPwcyyWN2oa6VB90k438dDnhh2I+teRXzB2Ksv516j8AvF0Wn61c/CrxKVey1IsLVZR8qy4OV5/vDj/eAxyxrjfip4MvPAvim50GZGMatvtpGH34zyp/ofcGuepG6OdvU5OUYbj0rNuWDFjV+5cpliOR0FZ1ySTmuSSZhP4rlSbNVHUquGGKtysVJxVC6diBn0rnldIwZWuOWx71tX0xg8O26H+C2zg++T/WsGRiGzitnxSwt9G2Kv8Aq7UDr6LWIR2Z5yAXuA2ACWrQiIABrOT/AFoOO/NaUQA6Vx7nMnqTKCVBHfrU8foDUMfPHvU0anPA4q4lk8HepkIxioUkIwrjGRxU0YIO7H51tEpJ3J1ALYNKwCjIFOjAb94x6UkrAjCkYzWuyKEIJHJ71Uuod2cnHPBq72zioZlJXBptXAy5EAyG9aia2YnKng1ceFwOU7VEYc96wlTuxNHqN14lurm9kHiO+ur/AFCY/PK7Zcc9snp+VWrLwza3dz/bKs+VGWiuByoA7Y4rV0Cx8O30Q+2/NJAqhnjJbdjPf+lTSXMGuWNxpWmLg424k4Iw3DZBHFe4vM9JKT1ZWvPC1t4mtYzZXarJHypYAZ75Pc+lT62I/CXhtIo5HkcMAuAPvE/NuHOPbFSeBbXUtO0S5Gp3TRiNsoj8kcff9xyaxRJe+Mr6URzN5MLnZuGB1A4+uB+VU+WwM6DS7VNQ0RtQnDbwMtu6gn3rldS8J3utIy3aHAl3K54CjPSu18Ci3vLyfQ9udsIymAyMB9TXp3jb9na/tPg83jbSAZYjCwnXZhomxwMY56mmqXPHQHBypnzDJpFrd3h0wuCkYHzZ4H5delZ9lqRh1iK50XUAZY5Aw44DD0rYh0ubSNOP2qTF07EKuTuP5fXrWdpWgW/h+1F9IoJxkhzkZNcM6bi7nFblke2/BHXtL8UapJqGpzIt5bBR9nIxz/eFew2N1p91kTTkDHUc18hxzatpLL4o0mTybhQG2lsAgZOevP8AhXv/AMKvH9l478KQ61asFlxsuos8xSDqCPxyPYiuyjUVrHo0qqasz0Y2Uv8ArLG8LLjgf/WpvnQXCeRfIM55yOD/AIVm22pGGLzhJ90dvWqy+IoL6NlJw4PaulvQ3Mf4rNa6LoTtbSkSTsI0UdRnqfwH9K4Lw9pK3Mqs6naDwBWh4w1efxDrjWvmGSG2JVFzxnua0tAsFhK+ZGM4B4FS9SGuZnQ+HdOFqiogA4zzXjX/AAUI8OLcfD3R/FCIN+n6oYWYdSsqEn9Y1/Ovb7G4CKpCjnjp0rz79r/Sl1z9n7W225a18q4QgdNsign8iRWWJip4eS8jHEx/cs9O/wCCX/jY+O/gZqPh66cSTR6RE4Utn95a3CxD8fKmdvxrv/iR4WSVJAY8hgeMdc185/8ABFjxLLP45vvBTPlJ4r1THu+8ZLCYqP8AvuFa+zPHnh5ZomO0Hjg4q8vftcEmaYdueGi/I+IPi54Xu/D2srrFgzRSQyB45IyVKsDkEEcggjrXb/FC0i+MfwV0/wCKFhCgvrKEm9SMfdAO2VfYAjeM/wAJ966D41+D4721kLQDgHt0rmP2UdWt5dQ134S6ygaC+heeFdwALAbHXHUlkKn6RU5RSdjJxSdjwq7RWHzfjWXcDDso7V1Hjzw3c+EfFmoeGrpT5lndPHyeoB4P4jB/GuZnLOxJHY159T3W0c9TcoTODwQfeqV1wuTVyXABqje5PGeBzXLN6HM9yuqGaZY1GdzAVd+IM4SwnTnJOAB9araUpk1SBOMecufpmo/iHMTa7c9ZBz+BrC7sx7RZyNoN0g4wQcc1oxHt7Vn2wIcEjvV+PqPpXItznsTRcHJq1FKm0AA1UT71WIlDEKe9ax2LVyZZPmAHTNToTnFV9mw8dvWpIZHLZYDB7irVrF7FtHwm31pKYHIGMUpZgAcdfatWwJsnGKbJwM+xp6ghhkUOpfgrWgXK7xqV5HPeq0kaKxFaDxkIVC9aiMYzzmpe4Hr2iaVo+n+J/Our6QG4UNJEWG1ep/pXefDr4aWM+tS62lzGbTBJAznOc4IIPHWvN7zzLl4dU0pX3r1haPDj14/z1ruNE8Yv4d0u3v76css+I3Rc7AenOP8AP517EUrHqxsmQHxLHqPja/8AD8kUahZThEHCgdwAcfXFT6V4UsdMtbttMO+Sbc5RVxgegA4rnPEOi28msTeI7B/3UiM4zkbSewwT/Op/A3jPUJNMnia9RnhcqnJ3gY6n29/rVXQnu0d/+yz4C1PX/FrQXUEhhlfG0x5Bb1/z/Wvq/wDaGm0j4b/Aq50d7aIJdwiBYscNnrx6da8w/YdhuptWm1KS0hlRbclnYn5Tn+HI681gftx/Hu11/Xm8JafqGxNNJDq3Qtgg5z6HIrpptQpNs3fLGkfJGuTHU/HVzdxybILd/wB3sUc49cdf/rUWkDapcbnhxbR/xyA4Y1l6Ub5tTmjVC4nOIz/M+x/xre1G1hstPSyivhGPK/e88se/4mvPT59TzEuaRTvmtLwGOKUyquUCKOMdKPDHijU/hrfvqGh3m0zqDJatyknsR/XqM1Fdapd2NmqaLYoI8YlcjccHvj355rI1NJZYi7MCeuWPQ1i3yu6B1HCVz6F8J/FjR/F/hn7fbzGG4VALm1Zvmjbv9R6GsnT/ABqWubmVHJ4PlrmvDvD2taxY35e3lPKlWIPUeh9a9D8IXC3UazIcnjd9a6KdbnSOiFb2iOt0K2kCLLL95yWYn1NdTp77F34rmrGYuflAwPQVtWUxCqp9Otb7HVBaHRWkoIFc/wDH2Bb34H+JoMZzpErcewz/AErZsnGxWJ9DXlf7T37Q3hHwj4Y1T4cQ7rrUtQ0+SFljxtg3qQC3vznFTWnGFNuTMsRJRpu5S/4Iy6ubP9rPStJ3AC91KyjI3YyHm8kj8pTX6X+MNDOxhsxx+tfk5/wTE8dWXw3/AGwfBWp6jbzSLfeJdMtYfKICrI97DsLk/dTOMkAnBPB6V+zPjPQGkDjygCWPNGQXlhHHsx5e74ZJnyv8WPC4lilXZkEHFfOWgXEPw/8Aj3o2vzv5MX2zbLIf4VcFH69tpI/H2r7I+Jvhz9zK4TpnkivkD9onQ30q9j1SGP54Zw4O3rg5/wAa6a8GnfsXONncP21vCK6D8T01mGLCanZK5ZRgF0+Rv0CH8a8NugFJxxya+pf2qdPl8VfALwX8Q5FDTfZ4FuZOSSZIAX/8fSvl2+idHII7nmvOxEUpX7nHWVpGXOQeMd6pXgwD9Ku3BJJOO9ULw55PpzXnzONrUd4ei83WEAH3Qxz9FNZvxClzJHBn+Ikitfw2uy7lnx0hI+nSud8dzb9TCj+EE8+9c81aDCXwGTaqWOAP4quR5yM1UtGAXLdSeKtx5z81cqepimSocMCatRkHBXANVV5OKmXGMA1qtik7E7sf731qSI4jHOKqg4OQe9PBboenpVrQety4zbTjFKCWGaZnPWnJngY69K0fQotDfgEelO5289cUkRDICD1p5Ubcg1slqAoUbegNMMJY5x+lSRg4+pqTy1PO7H4U3FFLVno0EWq+F7eKfX7FZ4A4jWeGZhg9sjr7eg2/Su7vfC8uveDTcafZm4nijDCMLhtvYnjn612Gg/BKz8YaeunXlvJcrK2FwQZFcf3dwAH0r3f4F/sheMpDb6f4mspHsXOWH2cL+7B4DEEZzz+H6e3ToTn8KPZjSkz4jfXtS8LQRNq0SNEZBHNhAeD04PUe/wCtR6PFDZalMtm6iG8G5FB4I9uT6/lX2F+2f+wu/h3TJfEvg3TN0DD9/BDETgY9MHpjt6/l8dDSLzwvri6fc2sjSQy/dfIUrjrn1AP50VaE6T1RlKEoTsz64/Y1vZdF8C6vrbxgeTA3VAD8oJya+Sfitq+oeLfFl/fGRpbjULtmDf3Vzn16V9UfBi7fS/2ffFd9ZsrsbGVounXyznp9R+VeB/Df4bax4311obGzad5JTt2ITtjB5OKctaaRdZXSSOL0Xw3LpqC4gHmPGpVSUHUjk/Qe9V7zS/t93E7sN4bMuDgZOM9e1e7eIfhdEs6aDpsJ3oNhLHBz+PTNcxrfwJ1ua4/sXSLRjLMhJ+mMnFZ+ydtDl9m4rQ8i8R+KtM0vbbQ6eHJT5ioABJ+g/wA5rjNW8RTavM8EVm0asMCvWdY+DDaCManiR23b42GSrD/9f4H868v8YrLZ+If7P0+PagO2QgehrgxEZxZyVouJneH47qwDiaYHDAg5xiu+8EXk2l63HbtIfKvosoM/dcf/AFq4Ca0Swnkl87eGySg7mut8IGbUFgkgt381QJIl77sZwP1FZYdtSsFGVpHremuGjyvB7mtm0ZiyncfpXO+GrxLy1SVP4lyfb2rpLBfMP3e45r00epTk2a9i5CE5xxwK+FPjTqV3rPxZ125u2LO2rSqcnoAxAH5CvudSsFs9xKwVI1LMx7ADJr4L8a3ses/EDVNThYbLjU5XVvYuTmvOzZt0YxXc4Mxd4xR7p/wTh8Ff8JX+118O9MuIg8C+MdOup1LYDLBOsxXjpnZj8a/cjX/B8NxaS3iNGrCTaQjndkgnOPTivxl/4JvaJf8A/DaXwi8PaSjSXVx4qtLm7CH7sanzHHH92NXY+1ful4l8NmKIhU2nHJAr3OG6KdCb9DvyyC+rteZ8v/ErwzKiy5QOPfg4x7V8j/tM+FA+mTtEmdobI7qP6196fErQGEbuY/XIIr5F/aU0cjTZp1YqwVj93tg+9d2Mp2ZvVir2OY1TRf8AhJ/+Cf0cy5kl0+Ay5PYpdFj+StXyDqEAO4sTkdK+9PgX4XuvEn7D+t2a2gAePUVQEjBxGp7ds5r4V1GHZI0Z5B4yK8bFQtCL8jhrwu00c7crgE4/Gsu8bLEqO2a2LtPvL6c1k3i/xe1ePPQ4ZFrw+dltcTMOuFGfxrkPF0/n6y+OwAwK7LTBt0htwHLk/XgVwWqyedqs8i45lbGPTNc1Z2gRN6JDrVMRAsB14qyD0INQxBliVWPQVKFA5ArlTZklYkTrnP8A9ap1XvmoUwAMip4m+XIFaxZaSY9VA+9j2p1NGWOT2p6gE4Iqih0ZZm5f8zU6HtjpVfhHBxU0bbsMBWt7jLkeEQEt+FSx8g+4qFTlfpUkbtjAPSt4rsC3LFuoRgzHjvxUjSRkkiMVGkgCZByx6cdKlRmCAD0pu5oon6YfsQ6H4V1HWdO8V6wxaOUBpEncZDMADn0Az+JNfeeiaRpc9sJ4Y41VhlQBxj2r8uv2afEv9s+NbGw0Evm3mQSI0mWYbh0zwBj19K/TzwPY6l/wjtsS2QYV+fcTkY9+tfa5ZaSsfVYeziUPHXhuz1qyktbm1imjZcEMue9fE37Xf7FFh4hik8VeBrBYr+1DSJEvAk7kenbj6191awlz5TIqEj6VxXiDSI7hmW6hzngACuvFUIz0ZFenGWp+cHwTh1q00rxF4A1a3ltWvNJnt9ko2ssgGcc9OAfrxXr/AOxP8E7W7t7vVGgVvN+QErxtHUjHqxP5V7N8Sf2bvCHimKTWobZbbUVG6O5iXBbGeGHRh1HrXZ/su/CuHwB8PLS0kixLKCGBwTjP+Oa86lhX7RI540rtXKfhf9lPwlZ+ff31jFPLcEli0SnK+hFWbj4C+FbFne00K3icf6t4oQPx6da9mjS2s9OfcAW2HHsaxVk+2XBiXJY+gr1fqtJR2NXRWyPyu/br8KeKvCnj680/RdLaG3kdmW5aIjdnJ+U9j1r5JazvJLm6vLuMsEY5kb8c1+7Hxi/Zc8K/GLw3OfEllGCqExyMgJJ7V8FfGb/gnRqGkS3Fxo1qBb4Vki8rcEbfjrnkYPevCx+X1G7rY8nE4Wblc+DbHwjfTP8AbXuNizOCqt6Zrv8A4SaJcSeIba1uHCHcoD8Edea7/VfgpqdrJcA2WfsMwjD7MISMDJ9BmvXP2Tv2ZtF8U+Kf7RvdQilttN+a5xgM0nUKB1x0ryqWCkpmFOhNSPJvD3grVtH1K/svLaRI7xyDj7oPIHtxXV2OjzBAPLwfTFeq/FPwNN4W+I2o/wBiRRJBdOJPnXPPSsr/AIR+5MDXE13CuBlisYGBXW6aidaTieBftRfEUfDz4fSafaz7L2/UxIoPKr3OP896+WPhd4Wl8VeJ98ozFbqZpSw4JH3R+Jru/wBp3xxaePfiTdwi8lnhs3MUBYgKMHHAH+eKk+F3h1tKtI5LeF1lupVAVW+ZiRwOPqPxrwcRP6xieXojzqz9rXS7H6M/8G//AOxFqvi74ra5+114x09hpng+P+ztBd14m1O7ifzCp/6ZW24MPW5jPav1I8Y6AGVhtxjpgVq/sZ/s7aN+zN+wz8MvhZpeniG8m0KHWNekKYebUbqJJpmbucGUxrnokSr2rW8VaYfKZiufxr7DIa0IUlFbNv8Ay/Q+owuFjTwisfNHxO0FBDICnrzXxv8AtPaaINMuVWLdkMuOM8195fFLTBHDK+OmcflXxF+1eI0sLgHhix24HHc/0rtzGHY46qaOw/ZH8GY/ZdTTpLfCXKSOAe4kgjJP5k1+Y3iLTZNPvpbOVCrxSNG491OK/Zb9nPwS2kfs+6Pa3MBBWKWEqV7RytED+IQH8a/Iv44aW2kfFHxJpmQRa6/eRf8AfMzj+leTjaXJhoNnJiFZI82vo3GRjrxmsW/b5iNuOK39RB6HtzWBfHL+5NfNVdzzJasuP/o+hoR2QsfzJrz1ZN85c98mu+8US/Z9CcZ5WHaD+GK8/hVXlO48d64q/QxqaWLq/dHuKlzzjNRL1UqeB/hTwykjisIkJ3JUORjHSpYiBjJqGPvS7hnbVrTUZNkBhh+p9acGbzD8x6etRRjLZPY1ICC5I9KtaFX0Js7uc5qe2Py8nGKqqGK4B4qzF/qxWqsCkWozyBuqVIiHDBuvWq8Gd4yasqWPfpW8C0SoDj7pqxHOAgVlPAxUSkgZ7Ubx6Gq3Lufqb+zV+y/4j8M3cHiG90lLUTsGm+QK2ATxx7E/jX234J8ReTp6abNCEVAFUH0A4riP2SPjv8LP2ovgppPxa8MW0URvEMOpWLOGksbtAPNgb6Egqe6Mp7139/4WghT7Tplxluy5HFfe5fThGmpxe59fRglC62Lep3NuybVhUkjsK5jVrW33sZIwM89OtWp73VIAVkgGAOTisrUtTmf5pB+fauyo1YqVkjivFUrWzs2cLnnFaPwy8VRCB7QygpHnbmuT+JHiyxspVtZJRumfai+pptpbv4ega4gyySru3DscVwc/LLQ5HbmPTX8QG8kazTnc4xzxWlZX2l6IvmyMHnP3VPSvHbb4kLpkgimmGN2Vavmr9qL/AIKVx/Ce9uLfw6I7maCdlILcOwOAAf5/SqqY6FCN5MJV4RV2foBd+KJ9Rj8hJcgfwjoK5H4heIvAXg/w9NqXjO6t44VUtIsuDkdenevi/wDYY/4Kpj4vf8JHp3xJsooLrTbUXFq8J/1gyRt575I/KvAfjv8AtS+NPih4j8Qa1qut3H2eSdja2/mEoigcYXpx/X2rmnmtGpS5ou5jPEUnG6Oo/ac/aa8K63a6ra/DjQYLaF9RkRZgnzyruxv+vUj6V55+zr8YPEXgf4maPKL+T7O18pvFckrtb5WJ9eD+leTT63cX9pA4kATJZwfXitrwff3l/NA1tbbWlcgYGSADzXhutKc7o85VVznrP/BRX9qbxv8ACPx9plh4FexIubAyTm7tjJkk8EHcOOtfMHiD9vj9oC/0u4046vp0Uc8ZRjDpqAgEYOCc11P/AAUR1ZvEHirwzqMs374aGsU0W08lXYbs/TA/CvmvVonhjXf/ABcivCzPGV4V5KMmkedi8TVjNqLL2i3uoa/4iiN1cl2ll3TO3cdT+dfXX7F3wT1f42/tR/Cz4L6cxWbxB4qtIWIQ/u13h/Mbj7uduf8A9VfLfwY0E6vr4ygILLGoPQkkZ/z71+vP/BuN8CW+L3/BRPWfipfW+zS/hj4elS3DRZWW6bEP3ugZHdXB64X2rmwUnCjKox4BSlLnZ+2XxGgtLbUl0yzj2Q2lskUcY4VR1AA+hA/CvNfFOEtmJPrXZ+K9eF/qFxeFsiSVivsueB+Vee+MdUxGyh+3Svs8noVIxhF+R93yqnhop72PGvi9cJHbS57Kefwr4q+MVgnir4h6b4fmQGB71JLk9vKQ7nJ/4CDX1n8cfESRQThmwMY/nXzL4L+Huo/GL4kXGlWV3JC2pSrpUM8cJcxLO4WWXAx9yHe55HC9R1HuY33ppHkVNZWPrrR/DC+H/hxpGkyQeW8Wlwidef8AWGMNJ1/2yxr8U/2u9LGkftE+N9OAwE8U3pHHZpnYfzr9y/F0Orw2oXUrm3klx+9e3tWijJ/2UZ2Kj23H61+IP7cMpf8Aae8cPuQlfEVwrmNSAWBweCT6etcmbwthYI5sWkkjw3VH2gkt25rEKia8SMYwXGa1dUk+9xnOetZtiitqCg9MZ6V8VVtdniPWRU8f3IGnlRgZbGM1xtttLE98cfnXRfES4HmRwhv4iSK5y3OFzXn1m+YxqO8i3DIgUIwPXgipQMMMGq8bKpyy5qdTg5rJOwiQMV6Uock84pvWiqWwEi9RUnfHrUO9einmpYjufnsK0WwakqkFuDU8B+fGeo4qqpIOKs23XPoK1WxUUWoAScCrUSqVy5wRVSJipwvWrSFh94nH0raL7FJXLCNztpVEZzvYg57UinByaazjJ4PWtI7jZ9b/APBFz9p+bwL8d/8AhV9/qXlaL43gaMxSscQajArNGw9N6h0I7lk/uiv1utNbkdQQ52t0wa/nb+GPjS5+Hfja28aaSTFPpOuw30G0nho2jcY59R+tfsh+zL+3R8OfjL4Y06S71a2sb24UAQy3Cje3A4yRz7Eev4fQZJjlCPspPY+iy3Ec1LkbPo/VNSAiO8qNw5zXKeI9SVYGkV8cHpUfiPxTBcx77a4Ug4C7T7da47xbr7rprATkEg5bptFe/VrJrc76slY8R+KnxCiuPj9pHgk3Q3Np73TLuxn97tUe/Cn869o8M6tBc6dJp16N8cq/IG/h4r4d+KvxATVP2ytK1DSroqLDSmtJA7f6x0k3lfyY/iDX0rrvxO0nwN4PbxXrOqCG0tY900zcDGMjHr9K8xV0pu5wKorNs4H9vT4waR8AvAVzdrfrFeXcZS0QSDIY9+or8qfi18VNR8WXUKyTswVSzlzyWYnLfyrvv2/v2mte/aA+Kv8AbQM8WjW26LS4pCQHCnBfHrkfhxXgqNPqdyqKpdmIAr5TNsfKrWdOPQ8HGYpzqOCPo/8AYw8J+IJfDuteLLOWSOO4KW/ySbd2Msf5j8q6Xxhplxof2hJWzE+cAgcZ962P2bLa3+F/wYXTNdtZZr+8lMwiUALGp6DOeuO2K53x74807VI5ogo8xlKsp6d668PanhVc2XuUVdnGIyHfBDOAWbaq56nNesfDXQbaMW98suSiBY4053Hpmvn5PFkSX4t3kBbeBkeuK9n+C3im0i1G2gludjwoGQFh1xUUKsJTtcmhJOTRZ/ac/Zs+K3xH1618V6THp0lpb2McUNqbvbMvVmyGAXqT/F2r5Q+Iugah4d1+TQ9Tt2intztkjbqpr9ArnxS2ozbIbkyuWxtHNfFn7T2tab4s+Nd9Foe11tyls0sf3ZJFzuxjqASVz325rlzWhT9nzdWYY6lFLm7mn+zfoXnaxp2+Nj5lwXYqM47D+Qr+iT/g34/Z1/4Z3/4J8+Ivj7rdsItV+LXim5vLOXzQWeygeS3hIx935zcnHcIp9K/Dv9hf4LeIvil8V9E8A+EbAz3+o3ttp9gm3gzzSLEuSOgBbJPQDJNf0r61p/hn4KfDHwl+z14JkK6R4P0G3sYM4Bfy4wgdsfxMAXb1MpPerwGBliHTox2bu/Ra/nY9HLcM5KL6X1F1nW4402luSDxXmvj3xUkMUmZRjBy2al8TeMooo3HmgE5AavHPif8AECO3ikAm7EkGv0SjRhhIXe579eu2eefHvxk91G9pbyFpJTtRQe5//XXo37Bfgf8AsK41DxWyDdp9ssfzR53zzEsTkjgrGpBHdZxXzlqfjDS9T8bQxardtHHIk83m4yIUiieRpCP+A7R6k192fAjQ9E+D3wUTxV8TPD+otEqi/wBdtNIsJJ5xdXLKI4mWLLN5UYSIsMDEC+vPn1KsdZy1X9afMww8eapco/EiVMSyRt8hUspx7f5/Kvwc/ar1NtX+P/jTUC+fM8VXxGP+u7j+lfvH8eLa38JXt/p6TSCCO2FxbmYYbymUn5gcEEEEYIHQ1/Pf8W/EC6z461nWkb/j71W4mz/vSs39azzmtCeEpuL0ev4HFmTcZJHFatOoDgkdap6ay+bJPnhE5H1pNTnDOWLZ5wKZZOEsZpM/exiviZvU8LdnLeM7oT6uYwfuoMj0zzWdHxg9xTtbmM+pSyBur4qONiByK8+bvNmEnqTDbnJNWI23LmqgYMKesrLxuP51I1sWmkAwGOPSnBsLx1qrvLjkn8adHIyjG3NUmMto2PxqWIqWyT2qtG2Rz3qeM7RnFaRasNFgEN0qxGdq7Y+TnvVWPBUkGpt4Vd4yMdTmtIlN6EGiwaz4s+K2heBNDnZX1TUYLZtiA5EjhSefQEmvqb9uP9nX4V/AlNCTwTJdx3l+jtcwSXHmRhRgZGRkc47nvXkH/BOzwO/xE/bK0m+mjL2+iLLfSnsNi7E6f7TA/hXp/wDwUO8eJ4u+PdzpVtKGh0aBLUKGzh8bm+nJH5V6ODgvq86ku9kdFGK9i5vueEfMeFFSIV2/OcGmAgEn0rmPEPjs6Pqb2MVqJdoBLeh9Otc9SpGO5hJpFnUJEfVdUW3G2NJIwARjB8tR/Sui+B/xJ07SPG2ixeKJQbCHUV3ljkIGPJ54xnn2r079rf8AZX174I/FLXLKa0CWupqT5anctvdRArIgP8SMGV0PdX44Ga+Y5VuLJdm05BwSetRiFUwte/mbXnh6l2frZ8L/ANoPUY7Y2Gm62XSybLQ3sm5Gj44GTu/oPpVb4nf8FAvg7Ek3ha88Y28eokbfstk5myT0GVB59vXFfB1/8dPGHiv4X28+m3SteNZfZbi4X5WLqNpVx0YlcHPBwRySK85+AViknxgsT4uiZYonaZjO+0Oy8jk9Rnng16jzWVoxXU75Y+0krbn1B4nHjEeMbD4k2fg/V7pIb77dNLDbE7Y92WySQOR1yaxfE/7TPiP9qvxVL4Gl1E6T4X0pRLc28Em5pwDgBmGQT+Y4PWq/7Unxfe7+Ceo6f4d1a3jM7RrOkUgZmQtg7cHgEYH0r5S+GPjPUdD182ttqn2VL4eVJMScJk8MR7Vy4rMHRrRiupx4nFqlVUO51P7Vuu6BqHjuHSvCtsqWWl2a20TI2VYjLEjk9z9euawvgvpC+IfFsGmvAWDZPy9a938Mfso6Hrvhw614t1JpEkRnt51wzOxzn+IEDPeqfwx+F+i/DzxRN5dtJHd7WaHz3ydobt65GD07GuN4GrVxHtb6M41hqsq/P0Z9IaL4S0zxF8NLXSNsUBiUCNgMuuO+f0NfHnxovpPCfiy901pN/lTtGeeDzg/1r6VsfivbaB4LlWOUyXMbMUj6Ny3bt3Jr5X+OGrS+JPFNzr13bCJJH3yRg5IPPJx3JNeljpcmHsjtxckoJI8/HiGdLozlsksxyfxx/OvQ/h9rms6gsN3DdFZAANytyO34V5bFp11qmri1somZpJQsaKMnk4r6S+CHhP4U/C/Tx4k+J3jC2juVwY9OdhlWwDkgZLH2Arw8FOpOtrsebhnOU3c9K0G9uvh18JNV+IXiwOJTYSCxWQcplSAfqScD2+tfJHhC2ude8Wf2lNFvbzDIxHTcckfrXuX7SfxN1j426XaeD/hdo97/AGLC/mXt7cRtCkzA/KAG6qvXOO9Vf2TvgD4g+InxO0vwL4W0h9Tvrm9igt7e3XJurmRgqRjPqxHPoOcV6WIjPE1owWyOypGVWrGPRH6nf8G8H7Llpouoaz+1T4+0sJY+ELKSLTXcZEl/NEfMI9WigJGP71xGRyK+2PG3xMm1zV7rVrybD3MrPgdFGeAPoMD8K52XQvC37I/7O3hj9ljwbeRvLaWi3PiK7iG03Vy3zSSH2eTJAPIRIx2ryzxD8QBGr/vgMe/avrsroRwsXUe70XofTQUaFFQW51Pjb4hxW8UhM2fxrwz4i+PTqMjxPPiMdeeuelQeO/iI0yyYnCqoOXJ6V5PB4y13xV4zOg6NobXzvOlpplpG/wA11eOMrGD06fM7dEUEntnpxGJlUlynPOV3Y9m/ZI+HzfEP4qvr/ii1jXS/DpW/1eSU/u9isWtoMnGN8iCZh/zzgUH/AFtYnjv9sX/goB8ctc8R+O/2T/2kbLwd4Mm1qXTPBmjS6fC82uSW6pHJMJDBIYhI5AUyOBlsYUAtXpuo/Dfw14W+Ams/s7SfFG50+abTo9Q+Imv6TGhvWW7do9kSkFUMvlPChYMEii6EkGvCvGfg2HwD8EvEFl+yX8RPEA1HQdPn1W1sPGVjZ3J2RxoJms5beKI20/lxhxuV1Zo1wFY76ylD90otBzzhHR/ceg/BH9pn4r/Ev9gqf41fHXxlcaxrz6VqzT6jeIiySJFPNEoIQADGzA47V+R/iG/M9w0pOSWO4+pJr9M/2o4bL9nf/gn23wxsnRHtdCtdKZ0P+tuHIad+O7P5rfVq/LTU7tmdgH7da8jNJuFKEH2ODGzk2k2Z2oXbMCNvQ0puUttHORxsLZ/Cs+6mJcgOfcE0eIrp4NEaNW2kxgZB6V81Ke55nNuzlXkLzMx7nNSiTIzVKF3Lkls8VZjYjgVwN3kznJlkAHal3HOahYkds08NlvSkNOxNG5zzUqOVO5agjI9aerYOM/hVrYu5Zik39e1Tq2Oe1U0ZgRtOM1Zj3ZwTmtI7AW7ccc+tN1W6Sx06W4YkBUOMevaliPynnvWL43vXh09LRZMmRucGrcmo3HdJH2F/wSL8JW3h/wAHeNvjfqqlVDLaRSMOiRoZHIPvvH/fNeH/ABH8VXXjXx5q/im5mMjXt/LLuY54Lkj9MV9N6NbN+zz/AME4bDR3xb6hrlgHdDw2+4O5vyU4/Cvkh5ieSvWvXkvYYOFPruztf7ujGAk85jgdiOAMmvMta+0alq9zcwwsy+aVBUZHHFd74n1D+z9GnuUbDCMhc+tfTP7BP7I2hfEL4AxeN/FWlwSTalq1xJA1xGS3lKEQfgSrH8a8905V5qC9TCNN1qnKj63+K/hXSP22fgFF8RLSGCHxd4ZKW/iiwhUjDxrhbgDqU2MxB5/dvjObc1+Yvx8+FUnw88X6hpZsJYoFlYxmQcoe6HjjuR7Yr7s+DHxa134K+P7X4keH43uoliFtrmkhwFv7QnJGDwZEJLIT33Kfldq7T9sn9jfwb8f/AATb/F74Ii3vrTV7bzLNFICyAgkwHPKOuCF3ENhGVvmRifocVhliqXmexjcOqsOaJ+UnhfxHLoF29q0hFrMw85M5CkcB8eoyfwNb0sVyLotKSwbDRuhyGB6EH0qn8VPhtr/w71eW2u7Jxb+aU3sv3GBOVPoazPCvjlLFF0vVAz2yN8hHLR5OTj29q+ZkpUanLM8F3i7M6LVbDVNU0eXSpgrRTKAAwGRznOfrXMWnwgnW4El5qbxqOpiiDHH4kV7R4D07QvFWn+fpt3FMhHJDfdPbI6g/Ws/xN4cn0u9lQE4BIHPpxW7wtOslJ6lToKquZ9Dd+HHxa+Hfwz0iHTpF8QalLEgUSXSxlV46KDJwPasz4k/Hvw14h8QadreheHr2G7s2KAyuqpJGwwQQpPPoa4fUtBvrghIz1OSQelQQ+HXkdRchy6jkg1s61WK5UU61RRUeh2WsfGe3vYFisfC+1fL/AHxmnyd/tgdK828Vm/8AEcwuJmVF4+VV9K6mDw+2wosRzgmsqTQryRx8hwG4GKxqurVVpEScpLU5vSdLg0qU3IklDDkMrYI79q6fw3p82t30dl4f0hLm7uH4JUM565JZuQAMknOAAa6jRvgvcXukR+JPFeo2+haS4c/bb/70yr1EMWd8zdvlGM9SKbfeI/DehaXJongLTZbeylOxru6YG6vcf3yOEUnnYvHAySRmopUnCRnCFmXLjUrvT7JfCOnXAu7u4lCSPFnBPGQD3UdB6n8K/U7/AII5/su6B+z18LLn9s/4saQgkEckPg+3eMB55GzHJdLnuSGhT0XzXxwpr5M/4JgfsFav+0j4+Hi/x3ayWXhjSCs/iHUJCUVYvvC2jbtJIAcn/lmm5j2DffXx9+NuleKr618I+DESy8NaDAttpFlbLsjKouwOF6KABtUdlA7k19Rl2FSXtZHtYKm4++xvj34taj4m1y88Qatdl7m7maSU54HPCj2AwAPQCvOfFHj1Y42murrao6KvVvoK5nxh4+stJt2nnny2PlUv1ryjXvipc6os2rXgjs7KFQj3j5bJz92Nf43PYD613VazeiO1zcjoPE3xLu9R1i6huGWGytEVp5y2RCTjAx/E56BfX2zXsHgCfwz+yR8LJf2nvjDpcza3e232XwZ4Z63KeccrGABn7ROQGdsEog28ZK1ynwi+HHhT4R+Dz+01+04g0fS9HzdeHvDd6AZTKeVuJ0PMly5xsjx8n3jjHHz5F/wUL/4Tz9trwx8d/i7YTJ4S0DUZU07SIx5v9mwvG8a3GP45VdkmYjkmMBeiisfaRgrzM+ZJ6m/Zap/wVA+G3j/xF+1TqHwW1G+t/EVvnxFpmqWcdxBc2ikFIns1k89FiAG1gqsgB5wWzt/su/tl/FT9rL436d8O9P8AAnhvwl4fslOq+JR4etp/OvoYHVo4XlnlkIjaYwhkXG5d2SRkV6Brv7RvwU8OXi/FbWf2stEvbOGUXEK6ReTT6hc4O5Y1tgA0bH7uHIC55IAqr+wH4KsU0Dxb+0SNCj02T4k+JbnUdPsEUf6Jp4nlaKIeg3ySdOCqoaScnUspXRmpVFO19Dn/APgrT8Q2g+HWjeClujuublruVfUL8i5/76P5V+dGpXY4jLYPWvqT/gpt4/j8S/FOayhuS0NgqW0aBuMqCzZ9Pmb9BXyPfXiq5d+fQZrxs3rJ1bdjzsZO9UWRxLOFzzkcVU8a3e2FYgT8x5/Km212jXoMjAZ96y/GN8JbxIlOQF659TXgTl7rOJu5Tt5VHXJ4q3G+4bgazYH2jn+dWEkKHg/hmudO5Bc3t60Bznk1VeYtwox+NSwyBh0xzTAsqxHIqQfe3Gq6nB61I8iRws7ngDJpp2Hubvwh8L6l8Wvipp/wz0chJb2Uj7QRlYwFLEkenFbvxT+HF78K/Gl14K1G9iuJ7Qr5kkJ45GR+OCK73/gmJ4UhvfiN4j+KGpKRBo+m7I5CON0hy3PqFT9a8++KHi2bxv8AEPWPFs8m43t/I6ZP8Gfl/QCuynBfVPaPdv8AA2pwXsVJ9TFVgBzSfD/wbcfFn46eHfh7ZKZBd6nFHMoHSMHdIf8AvgNUbypDA0sjYCjJNe3f8EsfAH/CTfGrWPipqEBa10OyZIZHXI86T0PqEB/BqmEPaVoQXVigueoonq3/AAUd8aQW03h74XabIBFY2QnmhQ4C5+Vf0Br5aL44I6eldt+0t8Q/+FjfGbW/ESThoTdtDbfNx5afKP5Z/GuDMyquWI6dc16OLq81Sy6aG9ad5mD44+2atdWfhjTkLz3lwsccajlmYgAfmRX62fArwzY/CH4P+HPh/bBYv7P0mFJAepfaNxPuTmvzZ/Yt+H5+MX7W+iwXMRkstFkN9d5XIHlcqOenzlfyr6O/a2/al1vwl8Y7nwt4VvgINPs4opQv/PT5mP6MKrLXGHNWl6GuGagnN+hu6VJb3s08NtFNBcW0my9sLuIxz2z90dD0/kexr039nn49X3wK1ebRNftZb7wfq8n/ABNtNUndZyMR/pUIBzngFlXBO1WUh1Br1j4k/AXwJ8WJYtavYXsNahQLba1YfJMi/wBx+0if7Le+CM14f8VfAXiz4Py/avGugXFzo7HCeIdNgMsScdZ0HzRZ9cYyeM4r6H2c6Uro920oM7r9sb9g7w38f/Ch+JXwaltrue/gEtubbb5OqA8hcjAWfGcYGHK8YbKD8pvi98C/FHwy1+6tLjTbhFt5StxHPEVkt2BwQ6nkYOR+Ffp98A/jn4g+Ezm48JX8GveHL1y1/oZkVonLY3OhwfLk4GQRhv4hkAj2b4lfAP8AZo/b08KvqVrK1trKR7ft0KqupWJ7JPE5AuYweBuIfj5ZXOBXJisDTxsbpWZ5+KwSrLmjufhdoXiDXvCuoDUNE1GW3mXgmN8Z9iOhHsa7zT/jLqmu+XD4jjjkcjHmRDbkfSvo79pj/gkb8cfgy91r2laAdZ0pJTt1fRozLAqY/wCW8WBLat/10UAdietfJviz4beK/B90Tf6TLGoyVdBvX8CK+eq4XF4OVnex4zhiKGjWh6NYano2oWxkjvUU5wysDkflRr50Cx8QWbeFdWknsXtlGo/2hGEdJh1MezPyn0PPHWvIrTV9Ts3KujjitODxNevamO4RiT91wOBWf1jTVEqquqPSpvEnhSxWaa51KZti5UQQ5z04JJGO9c7L8dodMkA8IeFLVLgOSt7qSidgemVjI2f99Bv5VzUDapf2vl2+nySGQ7V2KTuOfpW74I+A3jfxjq8NjbaPNundVSC3jMkrljgABeh6df1q1KtVdoIOaUrJIhk8V+I/HOri+13U7vVLwgKqyOTtHQADoAPQcV9V/sG/8E9fiH+1B4sjvLpWsNCsnB1LW5YyYrVeu2PON8pHQA+5IAJHr/7I3/BI6PQdIg+JX7UV2PCnh+JVlOmySKL697hXzkxg8/LguR0XnNfQ3xE+Oum2/hhPhL8E9CTw/wCFLRDGIbZNj3a9yx5IBxk5JZurE9K9zBZdJe/VPRw+Gb96Z0fj/wCJPw++Ffw9tf2dv2fYFsfDemoUvruJ8vqMpI3szjBfJGWb+LAAAVVFeF+M/iLDo9sGZi8jtthiQElzWb4t8deHfClobrxJr0MP92Hdukb0AUc/j0q58N/hL8afjfr1vqdj4RPhfw2pIfWtbhK3lwnP+oi4bB4+YkDByG7H1nOUlyw2PQ20R53rl/q3iHxDbaTNpd3qesXkgWw8Oadlp5WPTfj/AFSdyTzjn3r1zSfhv8Of2VfD8Px8/aw1+yudYgBOgeGrJQ8NlJjIjhjziab1kPyr68BjnfEf9o79m39ia11Lwx8E9Mh17xncZj1HUJHMojkyeJpRjOD/AMskwMjkg5NfIX7QmsfFz4owW/xq+KHiuG+fV3KW8CSnNsnzYRU2hUTC9AfTPOa5pzVNPuZTqqC0PRW+O+oft/ftY+F/Bnxc1WTSPCNxqjRWmk291tWNAjMIy3eWZlWPf1BkAXoBX07c/D/4cyXp+HOm/sj+EpNKB+zfZJvDKfaWT7uTcYEgk/6abt2ec55r86vEPwyvfCPw90f4jx+J7dzqU5AtIuHhwWwd2fmPy8jAxkda9l+MXjT4gWH7FfhH4hW37deq6zq/iO/nsNY+HQuJRJp9qisEkebzMuvyhSpGPnHp83F9Z5fiR04LD1MRTqS5b8q5vkeaaj8B9I8d/tiX3wG+EOtG70NvFFxbWOoI/mCKxjdmeQv0fZGrfN0YqMfeFfppqV7oHwt+HBtdItVttO0TShDZQKcBI4o9iJ+SgV83f8Ey/wBnN/h14Gn+MXiyxaLWPEsASxjmUhrfTwwIOCMgysA3+6qeprvP2w/Ho0rwePCtvOA90d84B5CL0H4n+VduGh7Om6j6nJTp+yi+bc+CP2nvE9zrvieS8nk3SXEzzSknPLHNeOahdK8hC9hXafG7WDe+KniEnMQwTn15rgJ5d7Eg8DpXy2YVeeuzxq8uas2UdQaW41C2t06eYGP0HNVtXmMt65DZAOMVtLDCtn9qlQbhkqSOnFcy87TzsxxyfmrzKjsc8nZlmI8YqZWYOAarowYDBqTd/dPNRF2GvMnVvm61LHIqLg561UadYwDIwH1q7LpOp2trFf3enTxQzDMMskRCuPYnr1qtXsUtSSNsj69Kg1y68jTXAbDNwKfbk5OT0xUL6fd+JPEVh4Y04bpry6jhjUd2dgo/nSlflt1FLY+r/gPbr8Ff2EtT8Vy/ub/xK0hiJJywf93GR/wEZxXzkJS0hXPBr6I/bO1a08GeBPCXwW0iQJHYWYe4jQ9AiBEBB99x/AV85wcsD2FepiLUqcKS6L8TqqJQUYLoir4svzbaU0aZDSHaDX2Z+zhZJ+zf+wXdeObiHy9S8QxPcK3Qkzfu4hz6JtP518deFvCl78Uvijofw70xS7X9/HE4XjCk/M34Lk/hX1Z/wUT+JOleB/DXhz4OaXIFhsbZZJIYxj7qbI1x24BP5UsC1GU60toqy9QoNR5qj6aHyprPxB0/T/ED2F2jYGN8y8gMfUdf89Kv3fiCwk0d9QtLpHUIdpDdTXleoXEl3ey3MudzuWOR6mrHh6z1bWNYtdB0je899cxwRRA8O7MFUfma8J5tUliGmtG9O558cXNz1Vz72/4Ji+EbL4d/CHxV+0J4ih8t7nfHbTSf88Ihkn8XJHvgV8/ePPF134u8Y6l4mvWDyX15JMxPGNzE4719OftHahY/s7/sneH/AIG6TLsvL+2SGXAAJRAGlc/ViB+NfIDXDbiUPGa+mqy9hh4U/vPXqPkpxhc/bHS7vJwG5I49K6GyuEkjNvPGGRwVZWGQRjBBritK1K2K5MyjHvXQWGpwuBskBHrmvs00fTJqSscR47/Yt+EXjK5l13wbJd+DtXccXmgyeXA56/Pb5CMM9du0n1rzvUvgZ+1b8ItUi1zwwLHxWsHMd9ot2bC9Uf7jEDp2XdmvpCHUmKYVwfxq0l6zD/W9uxo9nB6kOnbVHi3hD/go1rHge5h0T9ob4dazp06II476ewktbpBnGQ67S490KA985q/400//AIJ3ftVT/wBoXHibQrDV58lri4hXTrqR2zy0kbQpIfeUSn3NerXVta6jbtaXsMc0LjDRTIGRvqDwa4/XP2bvgd4kmafV/hfo7yP96SK18pj+Me00nTb0eq8zCpCM1Zq54Vr/APwR2+GHjC6fUvA3xX0ua3cHHnzxXTHJz95IVGPxqjaf8EVNE024FxrnxR0WGFR1NusB/wC+vLcV7JN+xP8As9vKZrXwVcW7HvBqtwP5uaktv2E/gHduBceFtTmUdn1m4x+jVj9SoP8A5dr7zm+qUN+U800j/gnV+xV8NJ4rv4nfHq0nig+aWztL6Lex6j51IAHsYuea6zTv2k/2K/2a7J7T4D+GtDgvkznWrvE06nGMjZuYcdlKD1Fd/wCH/wBgL9nhXElv8EzdyAjH2i9u5B+TS4r3TwJ/wT51/wADeG7X4oeCv2d9I0q1WcLaanBFYwyo4GQwLOJAfer9lRw9r8sbuyu+o1RhBrRI+Jtc+KXx0+P9/wD2t4O+EHjLxWrIXtr2ew+xaeiknlJJcRqPlI7ZxjkirXh79kv9pfx6vm/ETxtpPguzdubPRs3d5tz0LghF4HVWPXkdq+2PGdr45upQ/ie982cAgvcajE5+md5rkry1eAlZrm3U/wDXyh/rXT9Xj9p3NlT63PM/hZ+yd8DPhFcLrGleG31TVgwc61rz/argOP4lyNsZ5PKqD713t3fM5JVieOppLu7tUQq14nBxw45rOuNRs0YF7gfhVxjCGiQ+VWPk742f8ExtA8ceMrvxN4F+IsmiwX9w882nXWmG5WN2OW2MJFO3JJwckZ61S/4dp2tx4Vi8J+IfijFJFEQUns/DZSZSDkkM9wwBPOeOc19YXmtWJyiSgn6Vnz6xa7eDkCuaeHouV2jndCF9UfOSf8E5/hdNoCeGtc8W6xdWyRKm2G0s4GOCCG3CEtuOBk5ya6HQv2JfghoCQWtzY6nqtrbeX5djrOpGa3+QgrmMAK2CAcEYOORXrtzrcI5VeO3PNZl/4ijhXecDnv3qPq1BfZNIRjC9uo/Ub+00fT5LmV1SOGIljjAAAr42/aQ8dy+ItUvNXmlO2RiIQTwqDIFe2/Hr4jXUccXhmGcRC5haR0B+Z1Bxz7ZNfHX7TXjIaR4bugjgPcZghGefmyD+QyfwrjxdVQp6HPXmowbPnXxdrH9sa7dX7ciSZiuB/DnisOZleUKhIwaWeXBLMc+lV45kE4DEcnmviK0nObZ8853nqWtUcpphRc5YAcVzqAq5ynUnnHSuq8+3bCNInsN1VtT0eG8Qz2rAP1K+tYzV0KSdzEjfHAp6vjrmonR4nKOpBB5BpTIBznisVeG5N2lqNWyuNc1qy0O1GZLq5SJO+SzBR/Ovdv2sLqw0JfD3w602CNY9O01XlKLjLH5VH4BT+dcH+yv4WHiz40Wt9Om630tTdSNzgEcL/wCPEH8KZ8bvFn/CY/ErVNZSTdD9oMUBx/Anyj+Wfxrpw9vYTm+rsvkaUl+6lPu/yObEu0FgSMda9H/Yi8Enx9+0Pa6ndxbrTRY3u5Sem4DCD65Ofwry28uBFasx9MCvo/8AZKt0+E/7N/in4xXsQW51TfBYsWxlR8g/8fLflSw0Pa4uKey1fyLpLnrxXRanIftM+Pm8d/GLVtRS48yC3nNtbEHjYny/qQT+NcDLciCBpCxAA5qG4u3uLhpZWJaRixJOck9az/El+YbEQo3zSHHWt8RV5puTCrPVtn0J/wAE0vh/HrXxI1f4v61CPsmh25S3kkxtErg7j+CD/wAerzX9sX4kv8SPiRqWvAlkuL5ktQTnbEnyj6dM/jX0HoMI/Zs/Yog04J5Gs+IYMzZ4dZJwC34qnHtivmK/is9URor6JZA3UNyP/wBda1YOlgVT6vV/MusnHCqHV7nnUUkTwmK5gDc/LIpw6/0Ye3X3r3j/AIJ1fCC3+Ifx9tvEGowCTT/Dqfa5Sy5BlziMEH3yf+A14z4l8Oro7/aLOUtEzcKx5X/EV9p/sw2EX7N37Ht/8TNRt/L1XXUM8Jc4JLDbAMcHod1eZl2DU8audaR1/wAjkwVHmrrnW2pwv7a3xVPxK+NN6lndFrLSV+xWoDZBKk72H1Yn/vkV4090ob5Qx96NV1Sa7upbmeVpJZHLSSMcliepJrOeeMsSXYfQV6WJq+0qXZ2VKnPI/YfSbu54PmcY71v6ff3AUfNjnr618yaT/wAFE/2YrXxRN4Xn8bXS+RN5R1B9Oka1kIOMqy5bGe5UDHNe4/D34r/Df4jWsd74I8baXqiOMj7BfJI34qDlfxAr6+li6UtFJfefTQqwnsz0Gz1G6LDbJ0q8mp3eQRMfcZrGsZoidvmAH3rSt4mPzA5rujM0uy8uqXp+Xzjj60o1K9ByJj+dV0R+u0/lTxE552k+taJibZN/al9n/j4b8zUov75Bl5HPr8xqsImBBCHOfSrsMMfkFZQS3rVpk3sQLq14HO6VsHoN3Sphrd8LdbcXEmxWyE3nAOMZ+uOKptDIXLBcAc809YJW6KfxovcRZGtXf8UpP15pH1eZx+8c1GlhO3UYFMe3CZDSr+JocrdRN2Jfthk6TflUE87lz+8J/GkBgjOA5cnoFFY3ifxv4V8IQte+J/E2naXCoy02pXscK/m5AqXOK1bFre5oylmbrj0qrcvFHktJk+grwv4i/wDBSf8AZO8EO9iPiK2t3IJUWuhWxkXPvI+2MD33GuE+Dn/BVj4afFH4taX8NZ/hrfaXa61qEdlZapPqKOUlkbanmIEGFLFRkMcZzziuOWY4WMuVzV/UydWle1z6imaZmJiQhT3NUrmOGJGubh+EGWd/4RW1NEodoWGGUDI9j0rxz9rf4mJ4H8BS6Bp04W91NSmVPKRYO4+3pXTOSUeYcnZHhPjT4my+P/jDqeqW8xNtBatb2aluBGrjB/E5P418t/tI+N18R+NZdLtJg0Gms0W8Hh5D98/mNv4ZHWtf4g/Fu+8GW982m3Yiub+NoI5EB3IufmZfQ9s+9eFanrc98WUy7QT3618jmeOUYuKZ42KxHu2LF/qsMa7FGX7YrJubie4be79OgHamNIq9Tmo5LlF4Br5apWT3PJcklqxGleEhg56+tall4ta2gKz84Hylf5VhzXO8bcVEzFq46mL9n8Jh7SUXoX7jX7i9uDLcgAH+4MVJNKVi8wngrkc9ay6kikuJALSPLb2G1B6+1YU8ZO7UtRqpLqe7fs9KPh98FvE/xNnUrPeobayY98DaMf8AA3OfpXlckzTOXd8knJr1D4zSp4L+Fnhr4Z2j7WSIT3gU9Wx3+rFj+FeUIxxnPevoZWpUYU+yPR5eSCh2Q2a3utUv7bRrJC81zMscSD+JmOAPzNfSn7TOpWnw5+Fnhf4KaVLhbe0Sa7A4yVGOfqxY/hXlv7JPggeN/jTb6rdrm00ZDdyn/aHCD8+fwqH9oX4iJ4x+I2qa6spa3SXybXnjYnygj6kZ/GjCy9lQnVfXRegUmo05VH10+SOaa5SNg7uOeg9K3/gB4Db4wfHTSPDMkLPZwz/aL3C5HlRnJB+p2r/wKvNLzU7u8kLNKyqeiA8Y/rX1N+xfpunfBv4JeJP2g/EkW15omSw3/wASIcADv80nH4CuTC4hYzFqml7q1b8kc9KSq1Uum7LX7b3xLTXfHUPgfS5x9j0OERskZ+XzWHzd+wwPzrw9ZRt4/U1z+pfEzUvEGtXWs66PMmu52lkkHqTk8VZm1y3+wtdRScFflI9a7KmPo4mbcHobzxMKrbRu/DfwXc/F34u6R4CgDNDLdqbohcgRKcuT6cAj8a+gP24PiJbRf2X8JdCZUtdMiWS4iQYAbGEU/QZ/OsT9h7wvZ+BPBGu/H/xPGUzC8diznB8teWI/3mAH/Aa8b8e+NLzxj4nvvEt9PumvLhpHOfugngD2A4rrotUMK5veX5G1NqnQcnvL8jOurrau4EfnVB7wqxBcD6moJrk8ncM4rNuNSZJNu/HtivOq1eXU55TSM9pZFJw5q1pniHV9HnW60zUpreVDlZIZirKfYg10Pxu+FWufB/x/feEdZt2EayF7Gc/dngJO1we/HB9CCK46vHr1K2GrON7NHn/vKM2r2aPZPAv7eX7VXw/2x6J8ZNXmiQYWDUp/tcYH+7KGx+FexeDv+CzH7RGhxpD4m8MeHNXAADSNZvA5/GNwP0r45pysSDntXTh86x9L4Zs6oZjjae0/v1P0O8L/APBce1jVY/FXwJkZtvzSadr+0Zx2V4j/ADrs9L/4Le/BKYA6l8K/E1ue5iuLeUfqVr8vg47ilDZ4r0ocTZgt2n8kdMc6xsd7M/V6x/4LS/sx3AH2rw/4phyef+JdC2PylrSh/wCCyH7Js2MW3idSTjDaREP/AGrX5JLIynrU8V1kj5O9dtLiXGvdr7jSGd1m9Uj9bP8Ah7p+zRdQSTWVnrz7BnD6eik/kzVy/iX/AILR/BvS/l0f4d65fAdCLpIc/wDfS1+a3hvxNdaLceZBBaOdpU/a7SOZcEY+64Iz6HHFRaxdw3EpKJGc9402jP0FdTz/ABkoaNfcdDzWq1okfd3if/guJfuSPCnwKt0xna2pay0p9uI0WvOvFH/BZX9pjVgw8P6N4c0gEcGDTTMw9/3rMP0r5Efhjxio3f5M1wVc7zGbtz/ccc8zxT6ntPjX/goF+1r43DR6n8btagjkBV4tOnFqhB6giILkV5TrnjTxN4gumu9c167vJWOWkublnY/ixNZBJOCT9Ka7HrmvOrY7E1fim38ziqYyvUWsmTtdM3Vjz71reEtU1DStVttT0yRluLa4WWB16q6kEEfiBWFGWZsYzX1p/wAEvf2P9R+OfxPt/ih4p04r4U8L3aXEzyp8t9dqQ0duPUA4dzyMAL/FTwMKuIrpRNMJz1KysfpxqetW2g+H5vEuuyiJIrbzJd38PGcfnXwp+0x8ULnxZrl/4m1WcxRgHy1LcQxL2/Kve/2rvi7HqEj+CtFuM21s3+kyKciSQdvcD+dfIvxw+HPjnx/8PNS1LwwWb7OwdoAPmuY1yWC+44PvjFffYqtKNNqJ9LXk40nY+Y/HXi1/Emty3zMdmSsKZ6KOn59fxrn5rnI4/Wi6Ro2IcEEHkEVAxZug4r87xVepUm7nylWtKUncGlctndTTxk0UxmOSM15tST6mAhOTmiiiuR7gFdb8DvCy+LPiZpthNGWggl+0XBA4CpyM+xbaPxrkq9R+DTR+Cvh54h+JE4CztELWwJHOTxx9WI/75NdWCpqpiYp7LV/I1ox5qiuYnxs8bz+I/iZqN5E+YLeX7NDHnKlU+Un8Tk/jWBNd201mZraTkD5kPBH+NZc0rzSNJI2WZiST3NaHgvw1d+MPFen+GLJSZL26SIEdgTyfwGT+FbPF1aldpa3eg1UnKb8z3z4SJH8Hf2ZNW8cTxmPU/EhMVkxwG8s5VSO/95q8A16/e6nMWTgHJ+te2/tOeIoHuLH4Y+GAz2/h6yVTDFkhn2gAe5AA/OvEJfD3iAhp5NHucdSxhP8AhXp5k5woRo0033OnEtxiqcehJ4O8L6j408U2HhTSYy1xf3SQpgZ25PLH2AyT7Cvob9tjxlYeCPBXh79nnwrIyW9naxy3wBxlVG2NT65ILfgKxf2K/BNjpFzq3xq8VxeVZ6LbOlnK4/5abSXYfRcD/gRryX4qePNR+I3jbUfFmpOS93cEoGOdiDhVHsFAFc1GDwmWym9JT0+RCXscM295fkc3Wr4M8Oap4z8S2HhHSVZpr66WNcDO0E8sfYDJP0rKr6A/Yz8IadoFpqvxt8SoqQafC0dg0nAJAy7D9F/OuDAUJYjExgvn6GFCm6tRROw/ak8ZWPw4+H2j/A3wxIsaRWsb3e087F4UH0JIz+FfOU16SCc8nvV74leO9Q8feL77xPqEh3XUxZV7KvQL+ArnjdNggGvoMZiYylZbI762Ii5tLZE9xenYT7dq1/Cfwn8T+N9LOuaeY0hMrIvm5G7GMke2Tj8DWDplhe6/q9vo1gm6W4kCIP617oPGPhT4a2lt4QM4/wBGt1+7g85Oc++cmuKhGOIk3L4V+Zzwiq8ry2R7J4l8L+C/2xfhcNMu5I7PxHp8e6zuQvMUmOQR3jbHI7cHtz8XeN/A/ib4eeJLrwn4s0qS0vbSQrJFIvUdmU/xKeoI4Ir1/wCHXj/WvBOvxalp1zJFNCwyrZwRnkMP0r3jxr4A+HH7ZvgNHhmi07xLYREW10QN0RP8D93jJ/EdRznPq43AU8fS5o6TX4noYrDLFR54fEvxPhGgHFbvxF+HHi34WeKrnwf4z0p7S8tmwQeVkXs6N0ZT2I/nWFXx86c6M+Was0eJKLi7PcB1608ALznrTKKuLuIkpySbOwpi8rTkALAE963pt3DqaOleXLOFlI29wcf1rp/EGnaBDpVq+iBnIgzdyNbFMSHqARK4YDpuwucdK5jTQiMSJiG7AZrYl1S5udOWzmVAApAJiGceuSuT+devQ+DU64aRMG527j83c81WLAHFW5kALKBn3PFVzEVPOK5qqfNoYTTuN3lR93r1oXDvycmpVVSpUrnjg+lelfst/srfE39qn4l23w8+Hem5BIk1LU5kPkWEGeZZD/JRyx4HcgpUKlaajFXHClOclGOpf/Y6/ZI8e/ta/FK38EeFreSDTLdll1/WGjzHY2+eSf7ztghE7n2BI/VXxndeCf2XfhNp/wAE/hJaLZrZ2nlQhXy8SnJaV27yOSSW7lia0vA3w3+E/wCwh8Erf4b/AA8s0e/ePdPcy4M17cEANcSnt7L0AwBXz38UfGzSteeIde1IljmSeWVs191l2XU8voc0/iZ9Rg8JDCUry3OX1qG88S65Ho9q7NJPJhiecep/AZNd02j6P4Z0UW+4JFBFtAPf/wDWf1NeE2Pxy0rQftmvxOWvpSFtIiOYUB6nsSep9BgducTxr8cfE3jC6a8mvpbaKRVCwpKQqjGMj9efeuh1YM0lVhszy79qv4XeHIfGreKvh2gNpqBD3tpGOLeY5yR6A4zjsT715BrHhq/0tRO6Exs2A2P0r3i4u4dSWW1lyyyEHcx9P8iqPiPw7pWr2qRMQHDnZGq/KB/TrXzeLwNOtOUo6XPDr4eM5No8AYbTio2ByTiu1+Inw/OiyG/sI18pusYPKn+tca6lTtZTn0r5jF4adGdpHmTpypysyOinMoA4ptcErrQkVVZ2CIpJJwAO5r0X4sTjwp4J0P4bwsokjhFzfbT1c5wPzLH8q574S+Hx4g8bWqShTDaf6TPvGRhSMfqRVT4heJG8V+L73WA5Mby7YPZF4X9Bn8a6qL9jhZz6y0X6msXy0m++hi17L+yV4ZSzvtR+J+ow5i06FobMMOGlYfMR9Bgf8CNeORRSTyrBChZ3YKqgcknoK+ntF8Pp4J+HmneC7ZlEiRiW+YdXlbJP4c/liuvJcN7bFc8lpH8zowNL2la72Rh6lawX2oz6nOivNcSl5GOMkk5rF8WLKsMelWEG+4vJRDCi9WY+n510F3CLSQSyA7M/NS/DWxt9c8dT+Lr5R9h0RSIAwyrzEdffA/pX1dSmpO3c9JxuzqvFv2f4efDHT/hZYSR7mQSagUH32PJ+mTz+FeN+IPAOhamrSiHynPRogB/Ku28V63P4g1m41O6Vg0khKg9l7CsW7aNIneQ7Ai5+bgGoxUKU4crV0hV4xqaWPND8OtUufFdp4W0mQTyXsypCcYIyepHoBzn2r1z9oXxNp/gDwJpXwV8NzKEht0a+KkZIHQH/AHj8xp3wY061sP7Q+LOtwjZCpj05GHPuw+pwAfrXnPxQju/Eusz+IZpMzzOWZSc8dgPTAryVhYYOlOdNay/I5XSVClKUN3+Rxks7MxJP60xnOOTTZQysVbII6irWg6Nda/q0OlWi/NK3zN/dUdT+ArwJ1ZynyrdnlpNs7b4P6baaBp158Q9aUrHbxlbXP8XOCR+PA/GuM8Qa9d+INYn1a7cl5nJHPQdh+ArpPid4hggtrfwVo7bba0UeaB3IHA/CuPSCRxuAH41rXqOMI0KfTf1NZt2UEe1+LtHWSU6vpobfx5kaAfMPUe9W/hx8RNU8MapFq2iXximibs3Ueh9RXKT/ABVsZLbbEMlmHHpyMmuf1bxYYdZ/tHSmCjA8xR91z3NfSvF04PmTPVWIjD3kz7VmsfhD+2H4KXwt43gS01aBD9kuYiFlgfj5o2PVTxlTkfoa+Rvj/wDsvfEf4AasV8QWDXWkyyFbLWrZD5MvoG/55vj+E/gSOa6L4dfEd3eK90q9aKeFgzKr/MhH+etfUHwu/aF8M+O9DPgX4sadb3lvcRCKR7mAPHIP+minr9fWtamEwuZ0/wC90ZtWoUMbDmjpLufnptb0pCCOor7H+On/AATXg1SCXxl+znrEU0Mi+YNCup8jH/TKUn8lb1+92r5O8WeDPFfgbWZfDvjHw9d6bewMRJb3kBRhzjIz1HuODXzWKyvE4OXvLTv0PFrYerh3aa/yMtD2xT0J3DikAAGBTozg5xXPTg7mF02WrY5OGwPwFdHYSaMdBdWtP9ID583+8PThhj9a5qBiW44yK29ItprqAqkEsmOTtVsD8ga9bDq6OuGsTPvIizkBCRnriq/lFn27ea2rDw/qmt6jFpWkadPcXVxII4IIIi7yMeiqqjJJ9BX29+xb/wAEcvF/j+4tPHf7SyS6HooxJHoEcm28uhn/AJat/wAsV9h85z/DXZQy+ti6nLBG9PDVK8+WKPnb9jP9hf4u/tgeNF03wdpzWWiWk6jWvEV3Efs9ovUqvTzZMdEX2zgc1+tXgP4b/Bf9gv4TJ8PPhtpqvduoe4mnZTcXs+MGadgPbgcADgACtXUfGfwy/Z48F2/wy+D3h6wsYbGLy4LeyiVYYPVjj7znqScknrmvAfHnjq51i7uNV1nUwSQXlnmbAXuSfSvrsDltHL4Xesj6DC4OlhYXe5Q+JXj298QahdeINfvtz4Z5JHbAVRyfoAK+SPjn8X38a6k+i6HORYQScvnHnsO/09Pzrb+P/wAc5PE00nhnwxcNHZIds0o4M/8A9j7fnXirJdXVyY0HyZ5aufGYq+iMMXifsovQxNMwaeXIz1FXdWvDOiq0rEhQo57AYH6CoLWFY3xJnaBj2pLgo+8tjGODXnqTRw3bZLpcMrL85wpGWNWWWLLFQxx6jrWPp2pyu5gzgY4xXR6fbvNs81G2d3FODTGtSlqOjQ3OlySiAO7ZWINg/Nj0/GvD/FvhbU/DmoPb38ZDBsE7TjPWvfL53tbvymBKg8c1kfEHwYfG2kuYiElGWUjoT2B46Vy47CLEU9NzDEUfaQ03PAXIxim1peI/DepeG75rDUYxvU/eQ5B/GqVnaT313FY26ZkmkCIPUk4FfF1qNSnNxktTymmnZnaeFpk8HfC/UfEW7F3qz/ZbU55VB1P8/wBK4YnJya6n4n6nCLu08K2Dg22l26xjHdyBk/y/WuWAJOAKrEyty0ltFfj1Knvbsd18AvDFtrHjL+39Uwtlo6faZHbp5g+4OfcE/hXsGm6/H4glbU1f/XH5R6e1eX3mop8OPh9YeFYQFvtVf7RqJzyqdgR+Q/4Ca2/h74gWCP7NPJtHVWJ6V9FlTjhqah13Z6mCkqceU6fxxO9lpDtbLvnmYRwx9yzcAfrU8Yi8IeFLfwraSL5p/eXbqfvueT/n0xWdp9/D4j8StqxyYNLykeOjzHqw9QB+tTapci4lY3URZ25yB14r3OdS1OtyWpRv5xt81+p61z2pfa9f1S38M6cxEtzJiQjoidz+VaOr3EVpE0zynYMnDHoKg8IynSbOfxbexKtzdnbbjuqVyVHzMylK7Nnxzq9pYWFt4S0n5LWyjVWx3bpXDakUkbDgGreo3sk00hkkJZiSST1NZF1eMihmOSD81ctaonoZTldWOe8S2KRyfaoxjJ+bHf3ra8OtB4L8MSeIbhR9su122yMeinof6/gKr6fZprOovJcYW2gG+UnpjPT/AD6VR8QalN4o1fy7X5beH5Ih2A9fx/wrw6sI06jqR1k9vXucEoqLutzNjSW+uGuJ2LFmLMx7nvVxURBtEYqdbZLaHZtGQOcCq0hy5pU6PItdWOEeRGcrspyDT1lZlIJ5qOlXk4zXnU5yTtc5SzYaheaXdLeWNw0ciHhlNeoeAPitaXrR2moTi2uQcD5sJJ9D2PHevKGHGQTUkAw2c9Olehg8ZVw8/d2N8PWqUZ+7sfZ3wl+PHiTwXcpHbX+6En5oJRlW56Y7d69ubxb+z5+0Foq6B8WfCNjM20hGvIgdhx1SQfMh98ivz9+F/izXI9Th0lrwvA7YCSc7fp6V794VnliWNlc/dzya+0wmNjiaeqPpsPOOIh7y3O78f/8ABJj4eeKon1j4M/Eqaw8xtyWeooLiEZ6KrrhgPru6V5H4k/4JU/tUaJKf7E0rR9YjHR7HVUQn8Jdhr3TwP4u8SaXKjafq88XzAfJIR6elew+Evi546HlRyaosg2A/vIVPr+daSyrL6ru42fkOeT4So1ZW9D4h8O/8EvP2xdYuxBN8NoLJSf8AXXms2wQf98Ox/SvoP4Hf8EZ/G00yXvxZ+I9nZWjIPOs9EtVnl69pZUCp/wB8tX09ovxt8f6UUutOvbaKWMhkk+xRsVPr8wNZ/ib4vfEXxQDcaz4ouZGcfMFcqvX0GBXRRyrA0dVdmlPKcPSV7tnSfCH9nf8AZP8A2Srf7T4T8NWj6vHEVfUrgi4vXHUje33ASBwu0e1HxF/aM1bWYH03SHFnakYKxk5cZ7mvK9S1O+cCR7hmLHnJzXM+ONcvtC8L3OtWRUzIo2+YMqMnGcV6MKlOnG0FY7FTjTjaKsbfjX4iaToVjJq+u6osEf8ACGb5pD6KO5r5h+NHx/1PxtM+laY7W+nhvlhU/M+D1c9z7dB9eaxfin4u8Sa7f+bqmrSyl2xyeFHJwB2HsK4cqHk2knp1zXm4rFM8/EVZbLqNXdcyFmlLEnJNSWFsRK0axs2TyRU0dpFbYKEncedx9q0LaGNZn2rjOScV5qlzannODvqZ9wgQ7GJBAyahkh8+IIRlc5OK07iyhlbc27JBzg9eKg0uBMOOeW6fhVN3RXJfQg07T4SSVQ5XmrdpfySP9m8zkcj0FSXFulvEFiZgPmJGevBqPS7SEqshByScnPvRF2CMbMt3bhtrzOjM3Koo6U+2l+zwulxcBUbJAPrTdTsYIbq3aPcN6DIzntVLX0EEyqhOM961cvesUznfiJoq+ItOW3tbSGKNpDI8nlAyMcddxrznw1p7aJqNxrl6h8uwRtjEcO5+UAZ69/0r2G9RZLT5wDwMcVwHxcto7LSLf7OSBNJ+8HrgV4uY0Kf8S2qOHEUV8fY89u7iS7uHuZWy8jFmPqSa2vh1osGq+IFu7/i0sR59wx6YXkD8SPyBrCYYOK6mMf2b8NFktCVa+uSLhu5C5wPpxXzNCKnXvLpqefTV5X7amV4w8SXHibxBNrEh4ZsQqR91B0Fa/hvV7q7iisbQE3DsEjI/n+Fco3U113wptonlvNQcZkt4wIs9F3Zyf0rpwdao8X6mtCUvaep3+mX1po1tDo0U2DEPncdS3cn8a0J7+CeEGZlz2ZTxXBpczPJ5rOdxY5NaNrfXLWrbpM8dDX0qxHKj04ydrEusf8TfVE05CTDGd9wQeCB/D+NSazcLcKAo2oi4RQeABWfpAMOmfaVcl5ny7E9akZRK7I5JAXOKlz0uDVzNurlYiWZ8Vh6heNNKttCwLu2MD1NWvEDGOQhOMe9VfDcUbSXF267nRflJPTrXn1qjTSOebfMkSarcRaZph0e0k+Z1zO44ye4qHRZLa0t1BQHP3s9apykyuZJDksckmnMoVgB61zbzuZcq5rl3UGjuG3xHAOc81QMRJOAetOJIYAMfzqyECqNpxkZquti+VM//2Q==\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[9.9410629e-01 5.8930251e-03 6.5735173e-07 2.3291031e-08]] 0\n",
            "label: boba\n",
            "Predicted: boba\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[3.90907871e-06 1.10694245e-05 5.24034249e-06 9.99979734e-01]] 3\n",
            "label: rotate\n",
            "Predicted: rotate\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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qVozZOxPK4Dv/AHQWwB16nFdaSmtUd9OEZLZHpmq/Gn4v+JkMfiH4o6/cI/3oxqskaMPdEKr+lZKoLibz5j5jnrI/LH8TzXOeFPGXhfxNDG1jrtnJO+B9njlbIYjOPmVTn8Oe2a6W3Qr+dXypLRGvIlsdB4TDLIoU4Bk6fQV6porFLdBn+EGvLfCaEyx4/vE16dpTHy1A7ACvl8a28RI8zEv32dFZMOMn8K17eQbcgjHasLT5cAFjnPWtO2YBhg8Vwvc4mtTZt3IAP0q5BJkct9azbdyVHPb1rQtYGdQ688dKyEWI3Xnmpo5OOtQNbyxruYEZpBIQcA4/GgC8JAFya5/4t332P4SeLbxcfu/CupHk/wDTrIP61sJNuG0HnvXF/tH6kdP+AXjOcOFJ8OXMf/fabP8A2as2tCo9z8bv2k7kSfFi5iQj91aQL9PkB/rWf8OZCdTQluMim/tA3pufjDq5H8BgQc+kEdJ8NcvfowX+KsGtTgl/GZ9XfBb53iB7jivoPSrdnsY2DcEcZWvnz4KhA0YLY7A19HacyJZRr5Y4X0rrp7HpU/hPoiw1rZEqmQ/dHOasjWyTjcePU1yNrq5XGGzx3zVhdTOSQ4Gaw5UzilFJnWR6srEYkGf96tjQla73u5IhjAMkirnqQqqB/EzMQqr1JIrgYtXUMGd8Diuw8KfFfwd4dihkh1K3uHt9jGOSZVzevIUVGA5YoFBCcnL7uMcZzXKiHBdDsvjLbL4e+HjaHpSQQyyQFbybGdg6ksQfmIb14J9M1wOjwQWPwrTwp4D8eaTY3812zXMuqT+VvmlKgbiiSYAVRzxwucjaaw/2jfjp4f0vRV1vxJr8a6fFcCNobKJ7m4u7skqsEEUeS8hw2Qy/KC5IwPl+Pv2yf29/GnwC8A21v4HjudD+K2vW01t9ijvo7lfC+ngBRfDywEW7fe0UZ5C+W7gsqxscVCU5K2hcpKlSb6n6RfBX4R6n8OUFprmrR6rrFvaj7e1vds/klgCWEbEGNTjIG1eoABArx74+afpfhfxtKukhYre9Xzjbhdohk/jUKOik/NjsSw7V+EWj+KPih4c8UWvj3wX4y1zTNYsdRa+Os2WqzQ3KTOxaWbzVYMXbLFjnLZPWv0O+EP7avj34keEPD+sfGfxJPqWuTRLpV1qFyFWS9MZUpcuRjc3lsiliCSwY8bia0UfZS3uY0p1J+9M+gtT1SOT5g3A6YrDv9YIj+ZwMnrmsyfXRcLvjYgE92rOvtRLN85HTitdzVy0Ld9qgKsA+B65rIvNS7KwwRVXUNRLD71ZV3qB6D5ePWglsuXepbV+bkntVGTVMybV9O5zWbc323OW5+tVBfSNOMcmk2LnsfQF1eJH8IfAGmZwRb6ndOCOvnXuwH8rcV8M+LdZOreKNV1ZpMm81S5uCfXfMzf1r7J8daimj6D4ZiMvy2PgS0mlVf4TJJcXJ6f7MqmvhSLUHkhjLqN3ljcc98UU3dHRQfvFP4iWum+IdF03wfrOnxXdlrOvww3VtcRh45EhguL3DKeCC1oox718Z/tWfsn3fwV1M+LvBdvLceFbufEbEl30yRukMhPJQ9EkPX7rHdgv9o6+0TvoaMxLfbry6h5AwYYI4mPvxe4/GuO/aB8RWqfDO50G/iVotWvrGwlBYjMc15BFIOP8AYZvyr6DBQUqF2OtCM4t9Tx79iT9rmfwubX4PfFHVCdLYiLRNUuJc/YmJwIJGJ/1JPCn/AJZkgfd+79S+Lb65t70rBIV+XBwefzr4X+KnwQi8IavPrvhKKSfw/LN+5ZyGazLE4icjqvZWPXgHnk+3fsu/GS91SGz+Gfju8LsgWDSNQmbkrwFhcn04Cn0wp7Z9Cm5J2YqOIlFckz73+HHwTuviF4B/4S3Wbxtev49Oa8bT77Ro7sxbREqrGUVZdrFmBG47QMrirXjbw7oOreGI9J1L4f6kktux85dL1BrSRVI2nbHdrOWbGTgsuSBz3r7H/wCCaPwR0bWtCuNW1GCVY005rVij4BSSEIV/JiRn0HpXvviD9j/StRDpZeKfNhKYW31KxE2T3ywIGPbbW1TNcBhazpVXZ2XR9TsqZvhMHW9lUetkfl14Q8IfDbRNA/sjT/EGrRd9PXVdLWLLnAwzWwuGfnbyY48AH2rro/D/AIhVQsMNlfnHJ02/RyT7Rvtl/wDHK+t/i/8AsYaD4OtYtWv/AA5pjW9xceSs+lzPE4fYzDcmAOQrcjPTmvH9f/Z90di50zVLyA9vPRZVH5BTXdTrUK9LnpSuj0aWMo4mmpUndHE+E7W4iliiuraSFgBviljKOpJ6EEAivQ9Pyka7e4ritJ05tM1RtPaQO0ExjLAcHaSMj8q6+xYBODXyeMv7dvzOGrrNm5YyKq4PWtGCU4HesO0kKkHjpWjBKMYDDiuNsxasbtrc4Tg5O2tLTtVMJAeuZinYDhvpVqC9ZBtYg+h71BNjs31u3lsyvGTx0rIkvsSk+Z8vYAVmLfttwHHIpv2wbyW9KAsjWXUMdz+Vecftdax9l/Zy8UsDzLb28I5x9+6hU/oTXZfbVPAP615L+23qwi+Ad5ZrJzd6pZwgZ6kSeb/7TpS+EEkj8lfjDercfFrXHPP/ABMGQ/VQF/pWr8McG8Qj+9XLePb5b/4ka3eJ92XWblgfbzWrqvhaoa5Rs9G4rnaTZ5rd6tz6r+CfMsIzj3/KvofT9QiW0VcrgdMjtXzr8IHaF4ZFYjkcivddNvYjaKdwPruNddOOh6VOV4nrcGrRMgPmYyOjCpV1hfu+bx7ZrlIdVCoCDkU5taVcHeMH0J4rE5LnUXOvKiHa5NfPnxw+Nnj74EePB4x0B1udHluGu7qwkiQtFcNEIPPiLfxhdhweMxqRtOTXql3rXy/6wAegNeQ/tH6TB4p8OSwyRb2QErkc9KGk1qZTlJao86sfj58RPi6tvc/D3RZjd6Y0xsdS1tI82rsm15FC7skr8vLcDjkcU745fsa23hqKXxF4r8Z6lqmp6rdMs97eBS802zczseuM9j0AAHSu/wDgD4Ds/CHwe0W2uoF8/UZV3Aocu9xcEop467XX8vaun/as1d9S1TR9BZgWBlnxsIbacKp5OcHk9BXDz++7HrU6EHSXNrc+a7X9mnRtS8HSypHCk8AZWfOBIu3Jzx9O3c1554UTVfCWuQeFbq8laDS7rMAeQk7WwQ2Sc8rs+gwK+q7Czg0zSVtYSWXy8s5HDHGT/nnivE/jN4Gk0vxTZ+I7VEEF3GYpVVcFZEJIJ+qnA/3DTpy5nqc2KpKMVyo9+8K+KI9Q0uFmmOWUfxZ5q9c343YZzyPSvMfhtrUiaQlpI/MYAz7YrrP7WR14c/TmtouyODmSepoX98jMSAeO5NZVzfAvnzO3HoKivb7d1OB6CqE13FjjJJociZTXQfdXwGMkVWj1HE4dWx6cdDVS7myc5+tM01DqOpRaXb/M88qxrj1YgD9TU37ERabPZf2ptUOg2fimyif5dK8Jx2cP1j0uOMf+PV8TJcruIVvwr6o/bO8Tg6X4/vlk4/tSa1BznKm8W3A/LFfIcVznHzd+ta0dInZSklG6G+O/i38M/h74w+H+nfEjUWs7W+sNZkkuGjcoN8sCKrFPmXc1qmD0+VhkcZ8x+PHxT8AeOLOy0Tw3qdq6y+MWe0C3oMq2sC3JTdGW3AF4YWDMBnzOpGK1f2pPA2g/E8aLot08EV9puhI1rdsGwrSXE8hjmCnc0TAryPmQjcv8St83Wmha/oHjux0HxPaPbTaddpE4mIyqswZckfKwKncHHDLgjOa+gwknGkkJ1ndp7HufjJv+Ea8B3lnG3mw3sKQSq4yMy25cMD6q1ZD/AAi13wdp+ia7fxGS21fTLW6jlRSPKklhSRoW9GUsQD/EBkdwKl7rkuufB641FgzO2pKuHAB+VWXt9K+q9Z0XTrbwfrml3umxTxWHhu5SKKRchWitzsI9CGRSD6gV69OHtGXOnGo7o/Qr/ggb+2Po/jPwvqP7OnxH8QQp4oghjm8PzXLhX1a3jD+YgJ+9NGpUlc7mjBfB2SMP0nr8BfEn7Hn7QX7HK+HfjgLa5Ph2+vIZ/Dfiuwk2mG6Ri6RyAEPDOhjLKcbW27kJwwX9bP2AP+CgPg79sHwkuga48GmeOtNtt2raSoKpdoCAbm3yTlDkbkyShODkFWPzueZbU5ni6fvRej8mtP67M8HMaM5VHVvfo/JrQ9k+Kvhez8bWOmeFrvUZLYXGp7t8IXzNqwyltu4EA4PUg9eleOfEr9l/xhF4osNE+G/iq1uYru1kkmGvwENF5e3nzIFAIYsBjy+PU549u1K9sbn4h6bpPmg3FrYzXDJnlVf5FP0O1/yqP4i6peeEPCniHx7aurSab4dnmton6eZEkknP1IQfhXnYXH4rBxjGnLRp6dLttEYbG4nCqKg9Gnp53Z+bWjXH9oXx1IkZmcyemcknj866K2m2MAf0rmdI227ogx8igcduK2YrkFsqa9HENuo2fXczerN21uNwJGelWorg7gQaw4bsYznBHvVyC8BIJYD+tcTYaM24rwAAFj2qdLlePmJ+lYsVyCTzU8VztPytSTuLlNgXWOjH8qDdHP3jWd9qJ5GKPtTA8AVaYcppm6H96vDv28tYS2+GWjWO/Hn+Ikdst1VIJs/q616+Ls96+Z/+Ckfij7D4Y0izicg2+m6pfPz02RxBT+j0qjtEmatFs/Mhr9r+9k1BvvTStKcjqWOf616R8KY/3yMRwW44ry20YBwFAxgdK9Y+FUY/d4HGetcz+I8qL5pn0v8ACp9uwkEgYOPxr2Cz1FVgAMxHsK8a+G0hg2A9Dg5/GvSLa/HlDLZ+tdUHY76crKx6QurJt3eZ0HQmmf2tkZL5x2rnl1BMH5h780PqAVCdwA9eaxOZu5uz6sz/ADbug7YrkvHVz9p0+SILvbb9wd/apZ9VUAnf9KpWUseoeI7KzlO6P7SjTcjlFO5v/HQaiT0CKvJI7CGxtdI8V+E/Bskm5ba5iUEqpEhtomk34PPWEDI9umTXn/xs8RnV/ip5UUjNFExVT5hKkg4bB245I5wDya0NF8TS3nxOt9WluPL+zPcvNGrghMwSDPTpzg4OeT0OK4rXLmbUviExeORWWJ8pIGBJJOScnJyf8K89Nps9lPSJ085ElsMMACoIPOD16d8VwHxQu7e68MyRXafNb3UUsAPUNuCHP/AWaurl1Gae1kijPMY6MM4Pr6ZFePfFvxZFFpCW6XaSNJeRgFJN3QlwMg4/gPHtVU3c5sU7QZ1ng2/WEKQSA2M+9dXFqm1N23PPTNeeeE7pZLVJIXGCgIx9K6qG8IhBYkH0ra9jxmzYl1Leu4D8KoveEnaufzqq2oPjCjp1zVV7os4JwKl3ZnctXV23Izx0Fa/wghGq/Fjw5p+3Im16zVx/s+emf0rlbi5OcM/U8V137OlyqfG3QppB8sF09wSD2iheX/2Sh6BFvm0Mf9r7xCsnw81KdmJfVteiOcnq0r3B/WOvnCyucxZY5OfWvX/2uNUMHgPRrKWX5p9WD7R32Qvk/wDj1eJ6XIzlVU9WGK66WsDphI5n4r3d7H8Q55IJQDa2ttCmRxt8lGwfbLGsrXPCGifFDR1hukS2vrVStpdOmfJB6xvgZaEnkY5Qncv8StZ8dXSah451WdWyBeNFk9/L/d/+yVHpck1vMlxbvtZT19fY+1e3SXLFNdhc2tmc34P8O61pet6L8NdTt1iWXxNaCQyON0ZaVQyuOhBD7lcZV1OR3A+z9J8PS6j4qtNAvbZlh1fUrK0ffGQHinuoo2I9QUZq+fhoHhvxxFbSapZwG5siDbyXG/aoySYZChDGFjnlSGjJ3LzkN9G/sn+JL3xH8afAXhb4jedPZ2PiO1ga9ldDKIoo5JEt52BCmchU2Sr8s64dfmDgezhJq2p2UWkrM/azxH8G9I8R/si33wc1jwxDqUd34Me3bTpogwkuPI3Jjrh1lCsrDlWVWBBANfmV8ef2Kv2if2CPina/ErwFrF5LZaTfrdeHvFthbkIGySscq8qrEAq8TZWRSR8ysRX7B2rI1tG0TAqYwVIHUYqr4k8O6N4u8P33hXxFYrdWGpWklte27kgSROpVl45GQTyOa+Vy/O6+Bqz5lzQm3zJ9b/18z5WOKqRqyk9bvU+Zf2Ef2ydM/bI8aN4oudHi0nxDpXhdrXxHo0eSkcgmiMU8THlopN8+0HlMMhzjc3qP7WnilvCv7OfjzVIbdpDNbx2I3cDNyYbbIPfb5ufqMV+UXxr8aePf+Ccn7bmoeLPg1qLrJoWpzwwRXMhMOqaa0gDW0+0AOjbFDYHySxBlw8Yx9rfEH9s/4d/tY/sBWnxP+H2peS+r+L47DXNFkuVafS7tDJdNaTbeu1UR1Yhd6GNwAGArrzPLY0MVTq0V+6ly28up1yoc1aDgtHb8zwjTZtxPzEe5rQiuyDhWIrn9PvMJu29avx3YYD5v1rGtK8rn097G7DcgrgHnHJNWIrnJ5J+lYcNzhQG5HY1aivApx29K5nqCZuQ3m0YDHGf0q3BdKxwr9qwoL1COmPrVuG7AHT8qlIpM2PPbHJ/WgXIB5NZYuc/w0ouFPIWqKNT7WvvXxh/wVO8TmKK6tYp+bbwqkRA6gz3Dqf8Ax0ivr37WyjAzX59f8FP/ABS934o12BXyrahY2SKW6BLdZGx/wNG/Oom9DOs1Gk2fJOm5JUH6V7J8LIPkQD1HQV4xoo8y4UeuK9u+FsexE98VH2jyaTvJnvngKT/Rl4Of/r13tvcBogQfrzXn/g4hLcNnn/69dZFf+UmwgGumnY7obHV/bQVyRkjuTUbXS44IH41ni8fZjjB9qZJcsRzx6YrDc43NW0Lk9/8Au+Gwc0/wc6al4zt47iAyxxpI7oH25AQjOR0AJzn2rEu7pfLwrgn/AHqd4E1OSDxLcuWJZdOm+ZSflXKliSOnygjORjPWsaitFlUZ3qpM2dB022uvGtzIttPHZx2swSCKYg7fNjx98ge/XIHr3891uafSNX1bU4tQUlHxG7gsH3EYHfON3fn5eea77SdVSOW71eeGWBEsGaKRQysF3rgA4JI7Y4ByT2rzPxLJFdahBpkV4zSTXZmmh2Y2r0GT1brnoB3riSdmexJ7GtqWqvZ+BYoZLYXPngGadP7xB+8CB0+nXuMV5H8UI7WXSI3t48fv/MXnptwp4/4H+ld/4h1e602ZNPh0+RpWRnZQCQVAJJwOTgAnOeOfrXBarp0nirWp7W3BwmnhVRh92RssD/3yy04WjqcuIfNFo1fAl/L/AGbCd+SEAH4V32iafreuRudH0W8u/JAMwtLV5Nmc4ztBxnBxnrg+lcJ8L/DzX+gHU31mxtIUlMf+lNLnICkn5I2AHzdznPavbfC/gvxd4G8OS6lqWkyrFfm3kguJLKZIzGWdVciRUYAkvtJADY+UnnGkbM8nlbZxuoWep6chbUdOuLYZx+/hZO+O4rPkuwBw+fxrrviRrmoW3gq506S+kKyXUC/618MRKshB3M3GAcDOAOBivPZLpnzjj2qjKSsy1LcZPX8M11nwQMh8V6hqMbENYeHNSnVgehNpJEPxzKK4KS4OSSw46DFdx8Dbzyh4pu2BG3wy8ef+ul1bJ/U0mOLszyb9tLW/L1LwlpCMfnTUJXA6ZH2UL/6E1ebeG5GkvIYif+Wi/lmuh/bR1uP/AIWnoGlZyYNEabBP/PWZl/8AaP6VyXg+/iGr28hYbVYs2fQAk/yruopOKOuNlFM4vULz7drN5dL/AMtruWXP+85b+taGm7cgH1zmuetLllVWc/MR81bGnXIGGVs89K9uKSVjI6vRLiW0mWeBtrr0P9K9c+E3jCG11CC9KRloyqSQzM2xow4fy3K/Ns3AMrr88T4kQgghvF9PuyGDEdK6nw5qj2l1HPBIVdWGGFdlCTjJG9Ns/f8A/Ym/ah0T40fCTw7b3epzXeoCAWM11MU8xbiKLebe5w3FyEUtvUeXcIPPjCqzxRe7V+VP/BHT9q3wH8O/FWpeAfHTW0Fn4jW0QXlzj/Q54HkaEknpEWlfn+Bgp4GSP1WBBGQcg9DXymaYZ4bFOy0eq8/+G2PAx1B0a700eqPl/wDaG/Y2+Fv7Vv7Nnirw54tt49O1e51nVdb0TX4VR5LS5RpQjliCWg+YLJGCMgnBVgGX8nf2PPCni34feMviF4V8X2V7pt1aTaRHc6fM7rHI+28eObb92QeXJmOTn5LglThzn9rviP4y+HXwr+Fuq/CdfEdjDro8KXE9royz7riczCVfMVD8zBpRIeOyueApx8Iftj+LPAmueNvDGm+DYYJJNE8F2mm6lqccIDXUkUkoCF8ZkRPmKnJH719vUk+tg8TWqYaaldxvp5f1oellqnObnra5x2nzj7Mo3ds1cjm53E8elc/BeAxqq9lHerkN3tYYcjmuSbuz273N5LwhQEfgdqsw3YJG1vwJrGt7vJw3XHpU0F5g5/yKwbY4m5DcbuAT165q7BdsFweR25rBguyGDE1diuyRgHBP5GqWxRqi99Wx6c9aeL1duWzWV9oyOWpRdYGA1WrMadjTS8LuEUcscD5q/ML9vnxWNe8bO4lyt94g1C6B3Z+RZNqfo/6V+j/iHxCvh/QL/X5SAthYzXTH2jQv/wCy1+T37Tmrve+OrTTzIW+yacokycne7sxP5bayqW0MMTL92cr4Xjaa8RR3cYr3X4bx4iQbe47V4h4KQtfxkDoRXvHw9hKrHxgEis1uefSVmew+FpMW45xketdBHMSg68e9c14ecJCNvpxW2k52DI7V0J2OqEktz5g8bf8ABVPWo2kh8CfCGyto0H7q78Qao8273aGFY9v4Smub0P4//wDBRH9oWP7f8L9P1lrSUFUk8KeEFWyHOMC7mjk2Hn+KcGvtzwD+x9+yH8MvEw8ceFf2bvDraqqYivNW1PVdQEBznfFFc3rxQv6OiKwyQCAcV6Ne65cRyNNbx28aldpia2SZMemJg5x+NTyHCsPWerZ8BaT+y5/wVM8WBW1L4r61oVxK/wAttqHxKnWR+eippzTD8OKnu/2T/wDgpfoWLK7+M1leo0gW5+3+MGupLb/aeLUIBLtHGdiOx9DX2zqev6vd25sJdQf7MWBFrEBHCCM8iNcKOp6Cs027PbSXMs6W9rESJLmU/IjbSQgA5ZyBwqgnHJwoJEtJB7CS6nlfwr0Txb8Ivg5e6V4l8T2114zG9p9Z8ORyxRXMbSIIkMcoCzuCzncYYxhgoT5WkfI+H2j/ABk/t6XxD8YdTtXQsW8hrUJqMx6AP5e2K2A9GQyAjBjAINe26D8MvEniXTZfHOkR2vh3w4imObxt4mu/slu6u6oERzksWbCiOEMWLbGduBXRbf2W/hV4eF9axXvxE8STQk2UGr6XNZaXbN0DyQOVd0PLBG3swA/1YYNXHKMZN2O9VJRSuzzjS/DvxJ+JttP/AMIx4eZtLtUL3stvi3sYEXktPcSsFO3737xztydoAOKoXPgT4c+CL6a4h8YS+J7ifbNdJpli9pbpIWO+2E8xZmVFACzLGVbsoHJ3PHXxL+IPxMKReKtfkls4HLWmk2yLBZW3XHlwRgICAcBiC+OrGsA2ZWIyEEKFyajkiQ5tnV/Df4+3/hHQ30/4TfDfwt4YNh8kOsQ6JDdatMCTlp7uVAsrk9WESADACqAKy/EfxA8b+KNYt/Efi/xVqWr3cNwHR9TvZJwnPKoGJEakZGFAHPFch8ML2O5tLtJFwZfLZfb72f5iumisEuZBIAdik9e/tRGybI3KXxS8QtrWiwXSabPZrJrSbIrhkLMi28g3fIzAAt0B59QK4ya6IBC4H41pa/a/8JA99r1r5hOk38tnJGsrFNqttLbc43Bt/OM4b0FYE1wOcnH1FaRZwVfiJ2uSBjPX3ru/hExHhTxTeDr9nsrfPrvulkx+UDflXm0l0oGS3Q/nXofwwkEfw11ecPg3GuWUf1CQ3TfzcUpaO4oPU+Z/2xtWFx8fkBcBbXw1Zwkk9GM1zJ/KRa5vSLyWHTNSulbDRaRcspJ6ExED9TXP/tr/ABCs9I+OXiGz1DTmvFma2tYItoKsFsrdyGB6qWcj8TWbaSeIbf4cRG6j+zvCoF7FHMSIoWYiOItk7guY175I79a9KjFqx0c65VqLa3bO2NwxWhZ3mw/f71ycWqhWyelXLXWIk6yDBNenB63FFHd6bqhBAduBXRaXqhQgB+K8303W4C+BL9QTW9p+rqAGWTj0zXRGVjZe4eteEvH+o+HdQi1LTrtopomBVwf85Ffdn7Mv/BZPXvBngH/hUHxfjvb7w9Pamx/tfTb1odT0SJxs86CQAmQRgllBwykABsALX5oWmtAfx9fera+IpoGEsNyFZTwQa1qeyr0+SpG63HNU5x5Zq6P2z8QSX3xU1DxD4e+M/iLTdZ8S63oGmal8J/FOhRbLbxdo1gLm4D27K/ljURHfXHnQJsHzLNEDGSIPmL9oq+8Ir8fPEWnfD3WTfaJZ3scGnXLTiXeqwx7/AJx94CXzBnrxySa+af2S/wBuG2+Gnhy7+Cfxhi1XUfAV/dG/sn0a8EOqeFNXQEwanpszEeU4c/MM7SGbIYGRJPQdI13VdVvG1HxHq8d/qN1I1xqd9DbrEtzcuS8sqogCoGdmYKoCjOAAAK4qrdDD8ienbp0/y/M2w69lTtF6HfwXrhBiTHHrVyG8JYDHf1rnrW/zhWI6cVet7tmbA9eeK8hyuVd3udBBcuMYOPfNXIr1k4DDrWBb3DEgGQ4B5q9FcqzABhUFxn3NyC/3NjdxVqK624KsfrWJDNg9atRXjAbc8fSmrmid9jWW/YfxZ/Ch7pvveZ+FZy3SnA3HP0pWuT93mrW41uc5+0Nrn9lfBbX5fOwZrZLZfVvNkWNgP+As1flj8W9ZGs/FTV7nduEdz5C/SNQn81Nfol+2T4nGm/D7TtMefy47nUmmmOescMbEj85FP4V+Ys+qzanq0+pzEmS5neV8nPLMSf51EtzjxsrNI7PwBAZL4MF7enSvd/AqFRGD7cfjXivw3tiZ1PTdjH517j4Kix5ePbNKK94wpno2kzbIxx/D61spP8g57etc/p0n7pcDtWmly4QAMelaHRHc9W8W+N9G8B6BL4m14z/ZLYAztbwl2Qeu0cn8Mn2qLw3438K/EDwta+MvButw6hpt7GXtrqEMAwBIIKsAyMCCCrAMCCCARWL8V7ePUvh7qdpLhg9swI69q85/YWcWv7PSWTL/AKjXb5MDtllk/wDalTJ2ivMUHzSceyue3eF/DGq+MtVGjeHdJm1O8I+Swtm2HHH7yWQ/LBEMjLNyxIVASSyeu23wZ+E/wQ0u0+IH7ReqW+tX8YzpWjQQ7rWMqAfLt7ZjmchiN0sx2ZIZwrHcc/wvJ/wqLwh/wls9pcXd9p9h9ms9Plv2W0F5cSqxkdAPvIiyjKFWZQVJxhl8S+JHi3xf4s1o6t4i1qfUNZ1A+Wt1ckHy0HZVGFRFB4RQAM9Otczblr0Ks1sdd8a/2sPGvxJL6ONYXw5oJwsekWl0EeZBwBNKNrSD/pmNsfT5SV3HyS48TeGVk8v7cGb0jiY5/EDFbdj4A0iFPPvrcXM7cvNMAxJ/HpVxPD9nERBBbKgKnhUA49OPrWfMthchmaOLbUrYXVqjhSSMPGV6fWrf9mRu3kuBhhjpRFqsUXjWPwZHabXksDchwew354x0CoxJ9j6Guig8MXN3byzWSOvlqPMuCMrCT93JfKrkjAz16Uh2RwbeBNA8C6TbzaXqV7dyeaFvPtUCIrehUKSR3BBJzx06V1FvZRSQq8QBUjK49K0f+Ec025t3S6gExljKiWVQzAEdj/D+GOaqeEUlijm0O7P7+yk2k4+8p6H6f4igLaFfSvB2i6RHeR2enEJqN5Jc3asxYO8gG/r0Bx06cmvJfiJ4VuPBWtGwJc206mSyeQ5LJnBBP95TwfwPcV9Ax6e7DIXt1xWX49+GsPxA8MyaK8scVyhMlhcuDiKYDjOOdrfdYc8HIBIFCMK1FSjofNrXAJwfWvR/h/dInwrkjXrJ4hZm5/uwL/8AF/rXmep219pGoT6Tqtq8F1azNFcwsOUdTgg/49CORxXdeFTJa/DixBBAudTvJl56gJboP1VqqRxQ0Z8l/GU6drnxz8UahcQxu0erSRIzKDgxKsX4f6usvXrlIPh5qcZ/5ebq1hHvhzJ/7Trndf1S5b4neKUa63GXxXqJ5bk5uJDxWr4uuVj+HERI+aTWYyfcCCT/AB/WvUoatI7mo8sV5HJqwxijfhyu8/gaqrfAAMc570gvAWLc8+1eiuxZfid1kBViOfWuq07UCtuPMkGfQmuNguQcNv796uT6+yRiNSOe+KfNZA9UdrZ6wHJVJQdvUA1eTVgwwDz7V59o+qPbzbg5+frXQW9+7EMcAEdq0hK5Eoto6C3N1qeowaZZvtlup0giP+07BR/OvtTw3dR+dlAAOigdAOwr4y+E0aap8StEtS5BW/WbOOMRAykfklfW/hK8eTLFv1rgx0tUkVD3Ud9Z6g3Ac8jvWvY3aMeGzkcmuTsrp8ZDZOec1qWN0y4wcZPY15xfNqdRBcr/AAt0q1Dcc9awYbxiAPMINXLW9YnBfPPXNK+tilqrm9b3RZvmPWrSzhR94ViRXBIB3frVlbp16E/jVK402maou89ZPyp63CEcmsmK5YtlmPBqZb0bvwqzaMrnzX/wUW8aPY6bLYJcFRZeHpNoDYxLcyeX+eAhr4S0z5pVx3I6V9G/8FEPG8uo+JNTsUmJFxrQtxjoYrZNhA/4GFNfOmgjdcJu559KxfxHm4iblVPV/hrb5SNj1wMYr2bwcijaR+VeT/Dq3Kwx5HA6nFeueFhtVcVUGOmmlc6+xlUhVAPSryTDaAayLOVk+bNXEuk28tj8K1asbao9R8XD7R4eu4gesJrkv+Cbehf8JFpusaIqFodJ8a3lxcLjgKsNoUH0L4GPTNbvjbxf4a8OaPM+taiyq1u8jrDZzXDrGv3pCkKOwQZ5cjaDgEjIruf+CaXwtsvC/wAENU+KNtepcr4+8QT6np8sUgaM2CEwwMpHXeVkfPdWSuavJezS8x0o3qv0/VHpHxiElr4U07TGA3X+qSznGOkEaop/E3Eg/D2rx+Lw6ms+K5dZe4m2ad+4ijjwFdimXzwc8snTHKV7J8YoxL4g07TVCsbTSELgHo0skk3P1SSP8hXGaJof9mWjQJHgvPJLIx7s7lj+prNp2Vi0m0Y6aSVGBGMfSopdMKXCOI+xB46E4x/KsJPjEsHxqufhXrGlpbL50UFjcBjueV40dQ3YhtwC4xywBzXdzaYt5GUZSrfwsvVT2I+hwaz2Ybow7bwxpa65D4nfT1OoW1pPbW12WcNHHMu2RcBgrZUsvzA4DtjBOasyWsxhS1kdvJ3k+XnhWIA3AdicAZ+npWzYWn2iBWaLa2MSADow6/hn9KkbSg6kOvBGDg9qHy7hFNaGJZWDgtasRuViR8vX1/mD+PtWZ4m0ybQL238XwwkpGRFqCoOsROAx+n8ytdVJYy24FzGAJIpNrseAR2J9Ac8+gY+leJftrftwaF+yfrfhjwXefA/X/FbeLoXleW1nS3gFrHII7iKFtsjT3ib0PkbUXEqHzQTilFSk9AnKEFdux7daaZ9ohSaBQyOoZWB4IIyKswaOxICKR/wGsX4GeJNJ1yb/AIQyPV1u4nsI9S8N36n5dR0yVQ8cq55yFIyO3I/hr1SPwXfSWzS6dDD5hISI3DusZdg5RCyI53NsYKoUlmGAOuIjIEtLnz3+0v8As+3/AI10VvHnhDT3l1rT4MXVpGCWv7decKO8qAkqBy65TkiMV5Z4cnSb4feHghBDx3TLtPBLXUoz+IUV9oaj8Hde+Lmgt8PtG+IcfhbV5NViM2qWlwGgWG3a4a4gMpMTxM4WEh/4WieNkYNmvL/2nf2d9QNrdfFb4e6WzW9mWm1zS4YCrICTNJdRD+IDeTIo5B3P2etUtDz68Upto/JSzgtpdWutYWMCS7u5biQ5zlncsf1Jqb4k3RtvCmj2Ybi4u7qZj/urCo/9CaotD2tp9vMmGDQqQwwQcgcjFVfi3clbLQrf+5aTPjJ/ilI/9kr1afxk0Ze8rs5j7QSME/pSfbAvG3pWdJcspGX/AFpv2tuu4/nXfe53p2NKXUtuI/MxmpYJw5wzZrDkuw0gyc/jXqf7Kv7MPxe/az8ejwL8KtHDR2zI2t69dqwstIhYnEk7jqxCtshX55CpwAqu6zKUYg9TlYtSsrWQLc30UWQNokkC5+ma6OxuC8K4fNfp5Y/CL9nb/gnz8BrfwJo2halrOr6zMTea1vjgvtXukQh5JZSrLDbqr7FhVXVVkxhmZ5D8V/tOeEfh3c2UvxG8GeC9O8KTrcwxy6RpEBFvco4cNIQCkcTq3lj91Eofe24bhuKp14PYzqNrQ5v9neBbn4gfainNpp8syN2DErH/ACkavqDwtcCOFck+9fN37MsGZtW1HGQTDEjAf75Yf+gV9C6DM0dvGCMcZNcONnerYmEkmdnaTspDD8a1LO5DYIOOelc9ZXe9Qc9e2a07Ocg4J4+tcqZrub8Fz0y3QccVdguDvDFu/pWFDdAKAD29atxXZUhgfu+9Pca0Z0NteOcDiriTl14P6Vx2veNdL8KWUWo6rHftFJMI86fpN1eFCQTucW8TmNODl2wo4yeRV3w14/8AD3iGIyaLqKzhMF0KsjqDypKuAwBHIOMEcjNUmluWtTqUmAHPUVDqesxaRpt1q85AjtLaSd8jsilj+griZf2j/g3/AMLMPwiXxlG2towjmRIXMUMxBIheTG1X4PGcA8Eg8VD+0J4kbRvhbqdvu2S3jJaRZOCdxyw/74V6bkVFPofAX7UfiG51TxvaadPMXaC1MszFskyyuxYn3wqn8a5fwjA01zFjruFZ3xH8QnxF8RtW1QSB0a9aOJh3RMIp/JRW78P4PMlWUjjIrNrS55sv4jPdvgT4dt/EPi7StCvFJgmuAbkAkZiUF35HTKqRXqWojQ7bVZLTQ9MFtDBIY1Amdy+OpyxJH51yP7OVnHavqnimUY/s7TlWN+mJJGwP/HVcfjWxDO8jtI7ZLuWLe5p09ZHfTilh031NuB1OOamDkDArPtrgFdvU49asrJ8o69K1tYzipNnvP7O/wH8YfHZ9W8VwQR6boNvqi22pa7qGAqqkiwRW8efvs8pbaOgec9eazv8AgkTpvxW8I/ALUfh34l8MTaf4S8I+IdY03w1Newus98P7QlcyKW6wxqSgIAVmc4J2kL6R+yD+2l4w/aT8X+Mvgz8PfhHb+EfAOivaeJry1s9QbU7ma6ktorOK2V1hiATdZT3JRYt5lYYbAIb0P4deN/F/jfx3quh3fgDUdC8PadYrHp66npctvLcymQDcd6gAbQcIOmea45yjOnZdH+n/AAQwyqc/PLS6a/Fa/gUfifaiT4j6ur4DQ3KWpwP+eESQf+06z5vDtvaeHrbUrjxFZTXs0hE2nwIR9nBLFE3M2ZH8sBmwigZOCwGaf8Yre51zXdaj+3zwPf8AiCQS3FvMUkCtdkvhhypIyMj1rktT8A+KrLUINT0KbTdSureNo7PUNdD/AGm2VgQR5sYJmXBPysAecbjniW2nob68qRW1/wCC3gPxb8QND+JGt6bONU0G7huLWW1nCLcGKQSRxzLg+YgYZ42tyRuAJFdOlhHEpjSP7owM1egshawxRTXO5lRUMjDBZuBn6k9veuah+NvwRuLiWzh+NXhEzQzNFLCfE1oHV1YqVKmTIIIIqHK4+RJWL6W7W99/q8JMACCOj44P4jg/7o9ag8by6/ofg3UdZ8L6GdS1C2tjJbaeqsxmIIyAFO5iBkhRyxGByRWlFrnhDXYCbTxLptwjYxJb6jE2COQQQx5BAI+lR3/izwjpfy678SdE09VTcJDfW8L49T5rsuOP7oqOZX1C1kQ6JFqF14e07W9c0xrS4utNgm1CykiKNB5kYfa6typUscg8r8wPIxXin7fv7GXjH9sL4O2Xwx8FeL9P0XWdI8Sxato91qls7RXMv2S5gFq0qHdAswl/1gDASQAMp80Y9T1j9ov4GeF7eS4/4XV4Z1RxDJ5VuviC0dpJQpKxkw8IGIxuIwuQTxnEV3+0l8MdJ8Iar4p8b/2lpVppFglxPY3uk3Ed0IGmjiKjaHEv71o9siE4IVmRfLyzjU5GY1oRqU3Fnwn/AMEw/wBobxEPEMf7JGuRXOk+OfB9/c3vw9t9StQsiXls7tqWgzKSQxJjeZEYEF0uUJCsqn9LP2ffAmnfEfVfE3xmu/Gs+q2Hiy1t7N/CV0svlaM8OBJE480LM2QxQlAojnfIZmylD4KeBv2YfEmsP+1X4J+HXhz/AIS7xZaQy3/jSLREF5ewlBFHK0uG8jeihHUFcyIyNlkrpddk1f4OeKpvjToOn/adOu0EfjHTY48uU3DF6gz99TgN65JPDOQ24yk3EzhGqoKNR6+R6h4j8M6bY6GniSx0XwboVnKz28eg+Go0tTa+WrlpTajJRW2k79xzkZAypbQ8M20Gq6mNG1mXS9LmvpIm/tJIjBDZMG3MIlTaiAnIG7A2jbkFiau+D/EeneIBPqvh60stS0u90+SOHVJ7ZxJNlguy2LMnlo43iWRxjahjU5Ziu3rXgqLUb+51XwbpEWoyr+9GleH/ADru20+IIoVpblwFkkOGPlLkkjPQ4q079TjnPkfK/vPzk/bd/wCCOOj+K9S1D4yfsp3kOm3N/PLPd+F7qBo7DU33/vLixCKTbsScvBl03H5NgyB+ZP7SPgzxf8O/Gtn4S8d+G7nS7+DR0Y2l0B8482XLI6kpKuTjchZc8Zr+inVPGtxe2Mttr9r/AGjeyBPJ1O9meWWFFOdke5iEGe4GRk+2PDf2iv2c/hD+0LoVxoHxS8C6dq9tNI0jQXkRG2Ugjzo5EIkgm5/10bK/JyTmu6jXUdJip0pRd4n8/UzouM0llZ6nrWq2mgaBpl1fahqFytvYWFjbPNPczMcLHHGgLOxPRVBJr7b/AGt/+CM/iX4VTR+Ofgx8XtFm8Hz3ot7qPxrffZr7SmZSwCmJD/aKYVseUglHygow3SB3ww+Ffw3+BGlzab8NLea4vrmFoNV8W6nAE1DUoyTmNUDMtlbkEA28TMXwvnSTFV2+mpJ6pnWqllqj5Tg/Zn+Mr/Grwx8BJdFsovEviu6tLfToP7QSaGFp5TGxlkt/MAEO1nlKb9qoxG7FfqV+zhffs2/8E2PAWh/sp+K/iv8A2x4u1rWZb7WpdI0l3ae9mARWaFGdokWGCKIFiTiHcwXOB5X8GvCmt+I5vE2rfDrxF4U8OeMdP0AT6N4s8SacHfTrMOY7xILjlrVnSaMllViwi2nAya4Pwr4M0fwzdXWuWdxcXmqank6t4h1If6XeAnO08nyYuB+6U4+Vd7SMoauerHnlZvQqNVxV7H0B+278U/hr491HSD4P8ZHUpdNhmikgt9PkEIZnGX86TaGBwANgYfLnPNfI/wAZ5JNU8DanEedqRuuecbZUY4/AGu28T6t5z7oxwAFUH2Fcb4uuGXw9fyiTayWcrA+4Un+lQ7U2kjGcuadyL9nHT2s/BQuW+9d6hJL+AVEx+aE/jXt2lzMiID/dFeXfDGFoPDemCViXa2SWTPUM43kfgWxXo+mTEopPY+tctaXPUbC6udTYT4AINatvKVHWuesZl2KQe1atrcbhjjj3rI3TTRswXBGN3p2FWorkN82e9Y8Up9+nrVlJ2UY3EfjTTZd9DTknLR/KwyBwfSvAPjlY/GaxuLrWvC3iS70/bvZLzTJ2jKIeWBK4Zc4ySO4z717abwhcFq8E/bM+MTaN4cf4XeFX3apqcYOoSoeba3PRP9+T8wn++DV8vNoK9jw/w58Zf2kfHX274YfBnwpb3l3qiPBrNxpdhFF/aSrJHMHuZcIjFZYhKHlbqxwcsQfSv2vv2rtK8a6P4S8BfD/xHNNeK5uNWuIpTb5kWNURQWKk5JkJH09cV5Xo+vfF79mnRLzS7XQJLR/ElvbXkpDhZp4FYlR8wIAPzgrgHkEdjXj3ie0l1a2/4S/UZ5oLxb8oliqYVFILbt3OeRjHFONJX1R6eDeB9jKVdu+lreuvQ0pdMbSrtY3v4Ljeu5mgZiAc9MkDJ+nFejfDu1VYY37nBxXlnh+aa6lSJyzc9W9a9i8BWshWKCBN0jFVRR3PYUpJI8vF+weJl7FPlvpc+i/AaHQfg5G7jbJrOovMp7mJP3a/+PK5+hp1nNuG73qbxoI9DjsPCNtJlNLsY4Cw6MwA3H8Tz+NZtncHaqk8Z5NVRXu3NqrUYxibNvNgbgeRVuKSSRcgjj2rLilwODzWrYFEtlMgGW5H0oquz0Lw0HOZ9P8A/BImGWb4X+LfF19bJJLc6laaZGYoVVvKtoBIpY7Tu5n/AIs5wa+kfFninw/4I0ebX/E+uC1s7ZWcy3MxOOM7VBP5KuB7CvhXxf8ABv4xfsoXk/wI1PxNPEIpIr+7g0nUXMEskkUfJK7dxCoqkHoVIrW+Knif4rfE3VHk8frcNcIistkifu4kdA67VXIwVYEHJyGzk5rip05U001vqZxqQqQVuh9Ay+MvCvxHvr3VvC11I4XVmea0uIyk8BM+SHQ8jvW0tscFWUkdvpXy54Kh8dy60NY0oXk+oR3G+WVSzMz5ywc9Tk9R3r6g8F3nirxBo63viLwhc6XKnDiRP3bnA5U9R1HB9R1rN83MbQs1dGT478B6F448NTeHvENo8lu7JIpjnaN45EYMjq6EMrKwBBHpg5BIr83/ABz8NPhhD8ZfHWgePNC1OS60/wAW3q2c9hqclsUgklaaMFUZd+UkQjkdfy/UmWzJjYMeMV+ff/BQDwtL8OP2hbvxi1pJ9i8Q6HHdr5SZ3T248mUD1OxYDjP8XatqesGjhxfuyjI8vb4I/s4SZJ1vx7DvPKQ+TKuPrNcsf5VJZ/Cb9nXT8GPVPGl0f+ed1BDGn5wXSH9D9K4q4+LN3KoGleD7uQY+9eXCQ4/LfVK7+IXxAmwunaZpVsvdrgyTOPptKj8wajlbOR1IJ3/zPUdN0T4EeHLgahpfwhe8vIzuhuNb1x7mNXByriNlLKR1GJAQe9dDpnxCGt63qF14o0WHUX1iF7e+a7vLhzNA6CN4GLSMWRoxtySXU4ZXBUGvjbxx+0f8RbDWp9GTxEYjDM0TrBaxqCVJBwShYfnXS+Hv2j9S/wCEJWzuXa2vEtmjk1u7vkQI5LYfDLgsAR1PUUpUp7pFRrR6H3b+xZ8e7r9l34mwfBHxvr4uPBPiWd5PCGq6gAkUE0rqkltcMcKiOzLHNn5Y5vKnAEcxZvv621pfKbS9Ehub+YjY0Etv89upGDHcO+UVhyDu3MQPuP1P5afs/wDgj4u/tP8AgmPwRq/wG8Y3sF8ySW2u6X4VuZLJZQNou4rhkWBWAYh4nkVZEZlDKdrx/oP+xZ8Lf2yPh54F/wCER/aL8Oaag0zba2OoJq63E99aou2MuEUgsgACyMwdo9qugZd1KEJKV7G0KsUuVs3PCniTWv2cNV/sHxFA8vgXV53kthYuZf7HunGSqM6hiuFAZTgSINw+dPl9cm+IBubFLWz1CSfT5YwyQRXb/ZpVP8WwEK2eOSM184ftm/tG6v8ABm50v4e2Hw/s9Wk8SxPGq6nDM8c7B1AiiWJlZpQShGDuBKkDODXknwn/AGrvG3wcu7q5+K9xE1i9nL/Z/guzKm7SYn5d4O77EobO4TMJsAYjYHNbxpVN0g5aMviPtHV9RjvD5iIdxGcBelfOXx6/bU+H3w9km0LwO0HiTWl3I4hnJsbVun7yVf8AWMDj93GfUF0IxXz78bP2vvi38ahLpNxqA0XRJMr/AGJpMrKsq+k8nDz+4O1CedgrywrhcE4AGPTFdlLBttOYSrKCtA3PiH8SvHPxV18+I/HXiGW+uFG2FCAkNuvHyRRrhY14GcDLHlizZJ56URRkvOOvTnrUc2pRW6lIxu9yaz7q78197sck13XhBWRztuTuWLi/XY0cajb6nr2qrNrLLFsRyfQZ4FU7i6DdDgfWqryKQ2G+tc853Gm9hbq6LkyO+Tnk1zvjDzr/AMP6lY2Tnzp7GaKInszIQP1Nal1dqPlA4rNuZFxuzjmuSpOzHfU7Pw6sMbJDaIFijwqAdh0FdXpkvzAsw/CuL8NTFYQwbkgc5rqtNuFO1sn1rPcZ09nOVAO75e4rXtJjkFc81gWUysuRjH1rUtrlDjDD6UFpm1DMuzO7nvVhJcrlqyY58jBx09ati5QR8t2q47HRF3R53+0z8ZfGnwn0G2ufCmgIyXchil1q4Akis3P3UMf95uzN8mRjDE4rgPgf4F8NzWcXxp+IesJrF/qMzzW9tIDIfNzzLNnqQR90cAYHYLXsvjXRtN8WeHr7w5rNmtxa39q0NxC3Rlb3HII6gjkEAggivl74beLZfhD4w1D4F/EXWfsyQ3DT6PqNwNqOjc4JOBhgCfTerDqa0Wmxk5vY9b8aeC7T46WU9t46vWs5bO6Zo9SsLcO1uuxc5R2G9WA6BhgqGGOjfLPxb03wd4E8Saj4QfxCuswwOFjukszbmXKK2TGWYoVLbfvMMqSDg19MeDfilonizwLretaEzf2ZZ6gdPhvGG37QyRo8rgY+6A6qD/st0xXw3rmvXfifxNe+Ir0/vL27eQrnO0EkhfwGBURm3N3Lm4wop9zc8MvHFdqB0zn8K+iP2Y9MtvEXxA0xZRmGyze3HoBFhlz7F9g/GvnjwnZme4HPCivqT9mjSz4Z8Ba340lQhr1l060Y/wBwDfIR+JQf8BNRJJmVBe0qo67XtYk1DV5rlpM+ZKWGTnipLWTgFW4rCguPOuGkL5BPFalvNhAuRxiuiGhrVnzzubFnIZpVjydxPHFWtQvD9o8tHGI1CjJ9Ko6NJGsj3bj5YkLH69qI7g7dzkMWOSc1nbmnqddF+zo37n3lp/w2+Jfxb8Xa547+Ovwmg8IXuq3f2jTtEi1KO6WOF8kkMjsVXfnCsQQO1dx8PrPwf4j8OWthdWcMuoafZRRXmUwwQFkjzj0WPb/wD3rsvifqsWmeNtE095BsvdLvduf70T25A/J3NYHw+m8KX/hWHxL4PjX7Lq6/bDKOWkL5bBPtuwB0GPrXH7Tms76k0opLlSLul+HPCmgW09tpGh2tslzIZLhoIFDSOf42OMk+5q7a31p9jmsdQlG0rhJ+Tj2I7fy5/OvM+UJBrE1W4ZJGkjkIKjIKnGKTbvc2tYWV7Q3L2cc6sVOAVPB+lfO3/BQb4Ka38SfhzZ634X0ObUNS0K+8+G1tLcySyxSYSWMAAk5AU4/2Qe1ezajf3TnzXlBx/EUBI/EiuZ1+6vtQQi+vJZAvRXckD6DoKUZyUrmFemqtOx8ofs7f8E5PDWr6xNf/ALTfxFn0DTIrS4uEstBng8yNY1Llrm5kSSONRGshKRq+cL+9U5SvQfA37Gn7E/ivxLOfC3hzxhqnh+2dUl1PV9eET3ROc+THDFGyrj5tzkMRgbEPNepJGYX8wKjY/hkUMrDuCDwQRwQeCK5r4Uad/wAKH8I+JLW/0fUJ/CvhyWK+ttVtlWV47S6lKRWrebIC8sMgMXU7ovJkJyzhb5pcpzxw9CLtI7bwl/wR0/4JpaRro8exfs02ms3lwTL52veJ9V1G3l3kNuNtcXTwH/v3x046V7x8J/2Z/wBnH4Wasl/8LP2fvBPhm53ACfw34QsrKU/8ChiVj+dfL9v/AMFMtF8H6K2h+DfhZqOprvLRT65qCWiRZHQRxCUkZyfvjr0rhPFP7fn7T3j+ymsLG7stG0y5Xy7uDw9phDvGSMqZ5GkkX0JRkz0PHFb041XujGeHw8X7tj9HvFnxr8A/Cyyv/wDhNNR0HTZrWGzaFvEPiUWc0ouLjysw2wiaS5Eaq8j4dTjaApzmvGfiX/wUn+BegX9vpfhq/wBV12WW3uYb+30rw/YW9lMTIGhKXV3EbxXWFW3HYVJbIIwAfiqb4feBJbqx8SfE79o3wvosc1u8j2mkXFxrGonzI+FlgtY2jjO4qSJJkIKkcHIqC9+JP7L/AISu5rnSPh74n8c37QLHHe+IdRTR7CJlJwyW9p5ly4O49bqPOBx1FaKm5PVmSw1OLu/xO3/a3/bH8afFy6sLXwS+oeFNImtZDe6TY6uz+e/mOoLyKiMylOCn3TzkdK+exH5UYUKqAcAAYFbHxB+L2pePpoJH8KeGdFgtYvLt7Tw7oMVqqrnPzSHdNIckkl5G5Jrkp76WTOJCc+9d1OKpwsE2r2Renv7WDiMFm7E9Kz7rUJJM7347c9KryT5O4vn6VXnuVBILcduKqUyR8l0CCDyex7VVlunBP19KgnucnKOOlVZ7vqobn+VYyldj1J5LjLbcVBLcbDgZ96he5PUuce5qCafd3+lYSkIS6l5z+VZ9/Mqx4zglhU80vHH0zVLU2lIDKpKBhuPpXJVldhqdh4elC2qkkg9zXS6ZdvkBSCO2e1cVot3sjVFbkgcZro9Lu9wDMw60oNlRZ2WnXXG0kD0rSguQpBU5rmtOuiVGeo71o2942QNwPNVFtlo6K3uWccsOKsG43DnNYkF1xnI/Or9zBqlrDFc3dhNDHMoaF5IWVZBjOVJ4Ix6VcWaJuxJcz449R6V89/tzfA7VfiR4LtfFPg7TjcazpU4R4UZVa4tXJDDJIGUYq4yeBv8AWvfGnLLliOlV7mKK7jNvMoKspDA9xitE7CS5mfMXjazX4Afsfab4MilZL+bTS1y275vtV45d+v8AdDsAOwjFfMGnsJGGwd817j+3z49i1HxHp3hK1l3CMvdSrngA/u4/0En514VpHzspIxSgko37hiZWkodEdj4WuntiJcE/LyAOtfYF9ar4H+Heg+DGXZNb2IlvEzz58nzvn6FiPoBXzf8As2eCk8WfEzS7S4ty1tbS/bbwEceVEN+D7MwVf+B16/8AGvx/LP4ys/D1gs13rGsXDQ6Tp1rC0s97cY+SKJB99zgYXqxIA5IFQ/iNMMlCDn8jip/2tPAHhn4m3ngDxGGt44JBHHfK+4F8DcCvGADkcZ+7Xr+ha/pWvWCaroeow3VvKMpNC4YEfh0r84vG/hbxJqOv6nf6np14Jre7db2K6hImicMd4kU8qwOc+hr0P9lfxf8AES2+IujeEfBWuSEajepFcQytlRFnLsQc5woY/h2rNYhqVmZqSlM++45fI0lUI+ad8sO+BUH2huzfpVa/1eBdQOnoDmKLhR0AqL7T7D8666WqudlaShaPY/VP9uUat4c+E9p8UPDI233hnV45HfaSPs9wrWzgj03yQn/gNfMn7KP7R1p8PrtPhz4vumXSLhwLG5kbItJD2J/uN+h/Gvuf4ieFtN8eeCdW8Eaxza6rp8trN7B1I3D3BwR7ivyo8b6Bq3hDxDfeFdajCXul3kltdrjjejFSR7HGR7EV5SjenfsZKq6NW/Rn6MPepJCJInVlcZVlOQR7VkahIHDFu+a+OPgv+2D4u+GFvH4c8RI2q6QnCRSP+9gHojdx7H1r37wx+1H8GfGtsDb+LobKZhg22oAxsD+PB+tUpq12dvNGavFnUX6lkYA9c8Vh30KyBlcdqmvPiB4Hjia4PjHStuCc/wBoR/415v49/ae+FHhmOSOHX1v5wDiGxG/n0J6D60lrsS7QWp0eqywWKNPNIqIoJdmOAAOpJPSvn74t/tJaxdXU/h/4ea08FjLGYb+QRqyXqE8oyOCrJkDGR2z16cv8Vf2iPFPxHL6bbqbHTi3/AB7RN8zgcDcf6dK8+a4UnIJ+mK7KdLrI4K1VPSJst4s1xZvOi1CSFh0NqBDj8EAFRXWsX2pMJNSvZrhh0aeQuf1NZZnVRyT9KabohvkP512x0OS7saDTKfurimPK+wkv+dUmuZW6nH0pjzSFSC361om0K5cMny5aTt0qCW4G7AJGO9V2uGAAJ4FV7i7jX5ncD0zRdsZYnuggJH41TuLrILE8euap3Osx4wAOaqS3wkGCx61nKQFm4utoJEgx7Cqct+N3GTVW+nIIUNx3NZtzqSocZrJzd9AbsalxqSYKnOcdMVQm1Lcc8gdsVm3WqBWwCD+NNtpvtW4u4B7YNYSloBotf4gZ4pmwOSCc1jp42gfxvH4ReVN02km6EXmAP/rCoJXqRleD9arzXwinMPm7VH38nAx718xah8ftT8V/tV6fqPgu8WHT5NattNSZUD/abbzURj8wPDncRjBww71yzl7w3KMLX6n2Xo2rLJgJJ0NdPpWoDarA/UV4j4C8fRXl69s74dJCB/tDPBr1TRL5HRJQxwR61pF8u5SVjutOvd+ArHGOa1re8XI+bOa5TTbxUwQRgjmte0u8EZb6VommtCk00b0d8UBcNgY5zVPwTqupamt1e3uozywtcFLSCWZikSjJOxScLkntjOKo6xqws9EnnDnft2JjuT/9bNWvDsY07S7e1U/dTLn/AGjyf1NTFuUjZaUrnSiYbcY7etUPEeqjTtEuLoNghNq59SKg+1kf8tP1rzb9qj4j/wDCA/CfUtViuNswtz5AHUyv8ifqc/QVc5aWQUUr3Z8afHLxqfG3xV1fWI7jzIUuzb2zL0McfyKR9cE/jUPhbTjcyI5yQexrjdMdpboYOc9Sa9S8BaTPcmGCztzJLKwSJB1ZjgAfUkgVqmuU45vnqX7n0L+zF4dj8M/D/VvHtygWTUJRY2bMOkSANIw9ixUf9szXjP7Xeoz+JZNK8M/YBKNRvpJgzpnd5a4WNc9Sd2do5yF65r6O8awW/gbwhpngPT5FK6dZLDK6f8tJWGZH/Ekn8a4PUfDWgeJ9Fm0PxJpUN7azjEtvcJlT6EehHUEcg9KhK8Trqy9nSUTjfCXiq3+I/hyDTvHFpdeLbmztRD9uSSNPFdgQNgeC5famtQqAD9hvT5gWMR29xDvOOs/Z++BXgrwp42vvi74c8VaRrtqlq1tp1/p2+2mSViPOivLCYCawu4tojeNgULMxikmj2yN5z4t+DPinwdN/bXhOa81vTozkweaDqVoo5xGxIW6UDojkScABzXv0/wDb2gfDOy0O+u3n1NrNBdTP94yMBnPP8I+Uf7oFY8jUrDw3s5NyfQ0dPuY7l5b5pdxlbIOP4e3+P41bFwgH3v0rD0NWtLGKFzyigE/StD7Snr+ldi93YmVR1JXP3GuVNyhaJiM9RntXw/8A8FIfgw2j+OIPilo8O2PWLfbfxoOPOiABfjuVKk/7rGvpu18WfFv4ezR2OvWM3jDTywUXUS21pqUWeMtzDaXABxkj7OwHQSt14j9oPxd4b+KPgy48JweDfFX22GZJlmv/AAndWtvankFzc3KRW8ihWbIikkY/wq5wK8qCkt9javCMoq25+cl9IQxLDkVTmnOCN2R6ZrrPih4Iu/CmpyYg/ceYV4OfLb+6f5j2+lcPcygsR0weKpOxy3ktBZbk7t3TnioZLnPVs59TUcsueM5qCSUA9e/pXRSaJ5pPqWkuM8Z/WlEoA6/rVRZhu4Pal84+9dS2IJ3nJY/NSLP82Wb8TVdpcsfmpktwsa5dhitUBba5UAnd+tQyajHEu6STHtmsu91lUysTL+NZc+qM2WZwfqafMK6Nm91wniJjgdxWZPqcjnc0xPHY1mz3+VP7wdao3epxwjlxnFRKdmTc0pr4sSc4+hqvJq6w8PPj6tWFdavPMSIQPQnNVw5Y7pWycVlKTGkaOpeL1QbEy5Haud17xhq1vAZrSCMc9JAT/WpbtYnfMY6jms7WIPNttuOh9alO427FHSfiHqc+oC31G3j2twDGCMfhXWR6zBbxmeRgu0ZxnrXCWdh5N2Zum08Vj/FH4j6f4G8Oz6te3HCgiKMNzLJjhR/nisKmjCMkldnM/tRfHz+wtDm8FeHpyuoapHtuZlbmG3OdwHu3T6Zryn9njS/sXj6Lxhr2nyJY6ZpV3qUMk0J2zNGhSMoSMMRO8fTuAK4+bxZ/bHjI+LvE8Iuy0/myW7D5Xx91D/s9Mj0HvXa6N8TNZ1VNR8U+J57iY6jtsbNXlJjihVklkRV7fMsB4x0NcyknI4/aOtV30PWvAvidDPDd2twJEkwUkXvX0J8P/EJvLRRI5J2jrXxL4Y8cjQ9Y85Xb7NLIC8aj7h/vD+or6b+E/iZLy3iminVkZAVZWyCPWt+dNaHetUe96degIAX4xwa17a+cAbWzx3rjtGvQ8Yy+RW9p05Z0RTyxAAqotIcd7GprNx589hpQbiaQzSjPRVH+R+NUvi18a/BHwK8EyeOPHepOkLyeVYWNsFa4vpsZ8uNSQOAQWYkKoIyckAxx3Im1ie/VjtjURRH1Axn+VfHn/BTfxdq2oftIz+ApWcWXhTTLWxtIiePMeJZ5ZMerPKRn0VfSlJtRujWtUUKZ6BoH/BRf4ofFb4p6P8PPhl8LdGsotW1KK2D6ncTXcyIzfPLmNoVG1NzEbTgKeTVf/gop8cLLSdUsPAY0Oz1RJM3c8N5cXCCNVykXNvLGxz85wSRwDjpXHf8ABOn4dyTeK9Y+M2sWUn2XR9ONvpM0kJ2SXU5KsyE8MUjSRTjp5or0K6+Bnwi+L/xk1DWfGevnVbyZfMFve3JtrW1gQBVXZG3mSHgkszqpP8PrlT5pPVkwlVlhpNLVuyPlrw38StR1fVFsPC/wM0u/uyMx21pPq8zn3CreEmvqj9jDw/8AFLU/Hg8R/Ej4PaVoekaTZm7hdbucz/asgQoYpbmRl5LP86j/AFVY/jrxtoHw/wDEF54C+GP9lXGmWqozXOk26w27OVGQUj4ZlPBO45x16ivY/A8994E+BNvrGsgDU9bjN+6AYKowxAnb+Da3sXattVs2LC4eftPeY7xx438K3OrSQ36X1xdRszOsM6Imc88lWJ/KsrSdSg1WNrm2tnjiLEKryByR9QB/KuT8GeF9Qn8Tx6zcYd2yz/aI9wbPr+ODXc3ejXOhaRb38sEMQlkZXS34RWySMDsCBnH/ANat4uxpXtJmt4SslvtTRpUBig/eSZ9B0H4mruu6gLu6LuRyc8np7U3SP+JL4V+1XHEt4N/+6nb/AB/EViSX/msSx70k7yuU37Kgl1ZrwzrgBSPzqYTLj7+PxrJguwp+/wA+uKsrcqQD61Tkc8Xc/diQWWoWYmgCyQyxBoyDkMpGQfxFeefF7w5oi+GrmY2Sb0j3p6A1N8E9Zv8AS4tT+DniK4L3/hGWOC3ndubrT5F3W0p9wuY294/ep/igy3fhy7jihZmaEhVYEVyWaXKelJde58VfHXQIZd+tG3DwuAl5FjqvZ/w5z7fSvnnxX4Vl0+dp7A+bCeVAHKj+tfT/AMUTcWjGW6i/cE7XXFeF+LtNXRJXkgBeyJ4A58rP9P5VzKTTszlqw6o8quLhIiQ5xjsagluAy5Bxx610PiawguEkljjUPnIccZ+uOtee6l4nksLlrWaH7pxnPUVtB3ZyOyNz7Qw/iP8A31To7tYozyMk9zXLyeMVI+WM59c1XuPE00wwJMDuDXbCSRPMdRea5FADhgW7Csm81qSU/PJn6VhS6sxBLMDnriqs2qgk5fHFac7FdmxNqTbj8/61Um1EbflY59zWTJquP8aq3WqEDaAAScDBqbsRp3OqbcKrMSfeqsrtK3mO5P8As5qOJCqDccsepoeRUOCDSHysXKr1IGaZNOFG1Tk1FPcfN7Cq8l2ASeKT1RZJJKoPPpVS/cNATTZ7xVA3tWbqVzqWqRNb6JbPK69VQZJ+nrSTsgMvxF4lstKtnlmnVFQZYk4r5z+Neu6/4s8RuusW7QW8LMtgrP8AI6/3gRwxPH06dq2viR8WkutUmsWLRx28pjaB/vl1JB3L25zwenfmuMXx7ru8xaXO1uhPIHII+nSsJyvJmU3GUbXMfTvDU2oygDEVrGc3F9Ivyr7D1Poo5P8ALfvJodQSGKzDR21pEIbWJjkog559yxZjjjcxwAOKq3mpanqbC41K7knZRhDI+do9B6CksZGMx2HqPnB7Vi0luYwgosa7vHNvAIx6V6p8BPik/hq6GnaqZHsJHHz5z9nOfvf7vqB9R6Hg7bSIbu3LMVGPf/OK1/Ddl9mZoj0IwpHrTirdDpi7M+2PCGpx3FpHNFOrxuoZGQ5BUjIII6iut0y9WOOS8ZvlijJHHc8CvmX4EfFRvCsyeG/EFwRp8jf6PO7cWzE5OT/dJ/LOema+hbS8ZdOghDDNw+87TnKA8f1qupvTTbubmmTCGOME5JYMy/jmsP8Abns/2SIPGq+LfHfguDXvFkESF4W1GYW6qoHli4jRwJCFAxHxwfm4PLfFXjfTvA3h268UahtK2sWY4yf9ZIeFX8T+ma8Q0Lwza+PvjTpel6/qcNxNfxvqN5D9oDyJbo25mcA8ByQozg5fpxWvNZGlozWquenfEPxbrWifAayt0jNpe6jZqLazjiWJbJJBlYkjUBYhHHwFUAAivlrUdY8J6BFeapqWqrdCzUNcrausroXbaNwB4JJxz61r/t6/Hwa9441H4bafLIYrGCNN8L4Czl90gODyNm1ceua+cNPudcljl0fS5Lh1vNomtoAT5205UFR1weRXPGrKK0OfF42FKXs4LY+lv2Xtd8P/AB2+NOn/AA+svDM8Fm0clzqF1LMDi3jwzgqBxn7oO7qw9a+pfin4kGqa0bC1VREmAsa9FUABQPQAdq8e/YD+El98H/hLq/xd8W2ElrqfiEGKxhmjxJHZRZ55GVMkmcjuIk9a77w1HqPiPUpNQmt3YlizYU8e3+fStoOcldnThZTeH5pbs6Lw7pXlhJry6UO2BGhI574rs/FPgXTNZs4ILPU1EEcqSyBHDZGDkdcjIJ+h9elcj4W0S+udWk1vUoWRABHaRuOVUdWwema6Hw/puo6Ppbw398tze3tw7zTrHtwrMSFA7Kq4UZ5wPUmq5mjenFSlZo5z4geJUF8umQsqhAPlXsOwrEg1Bm5Z85969E+IvwcsfGNgniLwROq30EYR4JPlE4A4U/3X9D0PQnoR5MftmnXEtjqVvJBcQvtlimUhlPoQa2jG0TkxLbmdFDdjqD39a6zQdBs59MjuNQnZXk+ZV25wvauO8IW763qcdqy/u87pjjoo5PP5D8a6LWfE8dvfGCKQBUUAAdqxnJt2ia4aCa52fsR8Z4/+EE+Inhz40QkpbI39i+I2XgG0uGHkyMfSOfZ+EhrqNd0+G50qdR8weIjKnsR61f8AG/hnTfG/hHUvCWrwl7fULOS3lCgbgGBGR7g4I9wK4H4H+NdR1TStQ+EvjeTHijwoy2t/uz/plv8A8sLtc9VdAMns3HeplG8FI6ItRvH+vP8Ar1PDPjP4ZeeO5tNjgOmOnQ1806/NPBLNo+oYEkYIAPR1r7h+Lng833muqZPUFev0r5E+P3gO9ikl1DT4is8OWTA6+oP4VhUhzIiqmeJeIIpNOkdrQbomJzCP4T7f4V5v46shOpv7TGRkuPau61bXRexvG6eVKhIljbgg/wBa4vxMRIjbHxnOeO1RTb57HBUWpwp1Qg4J/WkOqjs5rJ8S+Zp10SWO0/cNZA1kEc13ROdSOpk1VicGQcf7VQNqaqM7iT7GucOsJ2GfrTTqqn+6PxrVFXR0DaopOD/OoIb0XOoKhbgds1hPq2DyR7VNpupxLciRmAx09KAT1OuM4AwGHFQy3JI4bmsi58RwRR7mmQDuc1j6j47sbZD+/DEdQDQaXR01xfKmSzZrK1HxHbWqFnlHfgGuK1X4iNJu2yhFHckVgnxaNVuxbRy8sThmPahhfsdvceJ3vphAgIDcZHWvRfhv9g08RS3IVXI4VuucE/yBr5w134oaf4VZobKUXFymAzZ4Q5B79eP1rm9b+P3jDVEVbLWJYARhmilwSAMDkd+vPv2rnqOK3JdelB+8z0j9sz4P+FNY10fFbwO0CXE5K69ZRBQHYPs+1gD1JUP6khupY14lL4Ve0jDWzCXn5gtNuPFepX5Iub+R9yhcs+TgduvStHRNYXb9nk+92JNc7ndnDKtTlUvEow6PNJ+7IIPpVyx8NmJy7AnK9fSuksbLT9QjEy/6wYO1ep/CtG20m0VD5xKHGCtawgnK9zsgkzJ0LQwYRGF3kk5welaMuirBHuXKkg4zWxYWMUVvui4U/dINQXVk4PmtIxLNg59K6FBJGtiHw3Y6jrWqQeH9PdTc3cyQw5672O0fqRX0hdfFDwj4B8T6b8Prh2it4NOjihuGb5YEX5Iw/sdpy3bgngkjyP4B+FLc+NpfFE6FYdItmk+ZuDI+VXPPPG8+xUVheLfEsHifxfe67I+4SykQqegjGQo/IfrWSi5SN4WjSbfU96+Nl/Hb6Zpl/daNaanbLqIE9leRK8cqFSSeQcHAOGHrzkEg2/Cej+CdA0O5+L+haVFHq+qaYti15NCIy6Ru2AQuf4sKSCciJB0UCvJvAvjLW/FljZ/DgzNMftQ+wyOcsikFSh9VG7I9ACOmAPSviXqum6VbWvhKwuEjtrGBVGWxnA6/U8micW/dRtRjG3N2PnZf2UbnxD4ovPE3xD8exTTXt088sdnA37yR2JOWbBAyegGfevbvhl+yxpuj3iaJp2lwRRnaWmgQgOh/j3H5mwAep6jFYMsUerN5dpcCTc2Mo2a92+GNxP4f8Brc6nqLIku2G3e5cZUAYZiT2zwPofajkjBaIxjhaLm3Y3r3TNFexTTmZINNskW3t4i+F2oMAD8qk022uLtBbeFtJWGDOPtUseF/BeprbtvA+l/bI/7Rtg1zDGNqtKWjdeokTsQa3orWNRhEAxWkY2V2dT00Rz9z4dbTLSKaW+MrEYkZwAc/4VWtYmuZGumHXhB6Crur3EmtarHoloxILkOw5AH8RrZvPDkSwhtMjxtXmLPUD0/wqEuadzd+7GxkWN5eaXOLm2OCPvA8hh6Ed6Z4y8E+G/ilp5nKrZ6pEuI7hRlgBn5T/fT9R6+q3K7BtOfpULv5EZlL4AGSapy5UZcim9TjbLS5Phx4cn/tSaNr2SQh2ibI2jhQD+v41xN1qjXU7TszZY5616ch0TxLJcaRrGjz3YmCq0kRyYCeV2+/c+xA710Xhr9jbT7jTjNrWt3DSNKxjES7dsf8IPv61VGnzasxrppqMNkfs4rErtGDk9q8s/aG+FHirV7qy+MXwgnjtvG3h2JxZpJgRapbHl7Ob1VsHaf4WPvXkms/8FEPhNrXwh1LULbxjDHqdxZbdN0+3vYvtNxIY8AHY37kM7Rjc5XHmFD86lBwk3/BWDwP4F1Dw94E1nWLHU2v/Dts13f2hKx2ksjRxhh99n2rk4PzOzOSFKbG8+OYULJ3OmdNJ2ue7eAvjJ4S+PXh+6udMtpbDWtMfyde8O3i7brTZ+QVdTyVJ6OODx34ryX43eEld5blY/lbPQdDXkHjz9rL4L/HWyuvjF4H8U3fhL4i2utiy8N6npkbKbyJpo1jtpwBtmJgcybXycKwJAG0V/D/APwUJ0rV7ubwF+0RYWOm6nDO1vJrmmHdaNIrshMqqSYjuGDgbeQRgEULFUr+67oh8kvdej/B+n+T/E8s+NPwxlad9S01mhlUndsHU+9eH+Jb7U9LZoNRgI5P7xBwef0r6X+Lvxv+D9npV5q9l4vsb4W9wsLxWk6sWZmAAXJGeo5HqPWvGPiVq/g+OwOrT3KCB/UZ4zjOB17VcJ0Zu5yVKTW54h4n1OC9DAjJA4J9a4nVbmS1kOG+UdDXoPiceA9RufstrqcXnO5WNInyx4z0HbAPPsfSvLPHM3hvSIknj8UoomlMaIXGSc4z9Bzz2rrio20ZxOKuSnXivBLH6Uw+IcfeJ+pNcTqmpafDDJdDxZaqFOOZRnOfrXL3/jq1tbcyxeKFZ25SKKMk9e/YfSrvYhuEd2eszeIQPmZ+PUmqN546s7EFpNQSMY5O8V4rqXj67lYFtSncN1A4rFn16WYkkFsnIMjE4qPapGTxFOOx7Nq/xg0uMbYLxrhs9E6fnXPar8TLyZ+WSDJwNz5IrzR9RvHXb5hx2AFQzyzSnzZnYn1JqfaO5i8W76Heah8RLCCJzHIbmQkje54HuBWFcePdVkle4SYqXG0bT0HoK54Ankt+FKSTwTxmplJsyliaktixPcSSM0/mFix+Yk0JdSIQAvGO9VxuxkdKc5dnyAQMdKztFnNJyk7lxJSJBJI4wvTHSr1lqKtKdozgde1Y1vM+fLMZYHgD0q/FbFYQucNnORQ1cSckzs/CfiQQTqWizgDJzXf2MttqUSzsqDjO0rmvHba5uLSUeQfk4ye2a7Hwj4qPm7JXOzODnvRCfJLc78NXs7M7QXdugNlbBRhvlU9qnEAukKNJjA6gdfcVRtXtUYXiQZZxknOav6VC2t6tDpkI2pLJiVl6hRyT+Wa7E00erBKb0O1BbwX8IWtw+y71UkliedjcD/xzn/gVeVWkXlxfJ8zocZArsPif4oN5q66bFOBb2sYVI1P3T3/TArk7KVtW1hdK0uAtJOwji2fxMTgCoVrXNqmlker/ALMvhS4udXufGUtuT5I+y2C45aVx8zD6Lgf8CNevwfsn+JPHV/datfzKDIN1od+RIR1XPbAwfxPoa5TwB4g0P4deJfD/AMP0Kttt3N1JjoxB3P8AiSx+gr6W8BeLLfS5v7J1G4eKGYgwXEYy0Mv8Lj164I/iBI71UGlK7NHCSgkjwy2/Zl1vwfqS3UcWIpJAl3GxAMRz98Z7eo/L0PSeJLO21C0Gl2sIFnbxiKJeuQO5r1T4m6pe+MvE+nfDzw3ZKmqXRK3zwMJIVwCzSow6xCIeZzhhkqQCKi+I3wWm8OWS6h4dtpJoYYgLiIAsxAGPMHr0yw+pHfLlBzd0OL9nE83+HfxLHhxofBHjq7ZdOSQLpGrljusGPSNz3iPqen06eieItfOkWMlveRhLthhQp+VlP8anpjH868i8VaXDLG0bxhlkHQjINWNF8S6V4fg0rRvG/iaWKxjPlC5m3OLdDkqpP8KA4GTwB6AVlUlJKxvS956nqXgbS2is21q6TElzygP8MfUfn1/Kt8MVIIOD2qmlz9mMVnNNExZAYZYSCky9iuOOmDxxzxUnnKz+Xkg1qkktCZXciPWdLgvYTcghZOpJOA3/ANeuSuhJf3IsI1O1DmQ+vtW54p1SW0T7DAN0kmAgU8sT0FdH8NPhrFqEaT30JkKvumPZz6fQf0qFH2k7G1uSHqWPg58K0addevbNEVm3woy9T/fP9P8A9Vetx29jboIs9BUNpEunQLBGoGBzxUDzqzbpM5/Cu2KjBWMowb1Pxq8PfFXxLpVrJG1/tMxBKDqCCMYPrx+tJqXxK17Ui90dTkkmkJ8yR5SXPPqTXFSs8WomFWJULkA9utBnfy44xgBwS2B15r8/cdT4hV6+mp0sHxZ1rTnt7eLU5kS1uGmiUSEBZTjLrzwSVHNO1346+Mda1OW8m1eaWeZWE080hcsWILFiTySRk+/PWuaurC1jtHuPLy44BJPsaoqirAzAfeTJrSDSH9ZxEV8Rt6r8ZfF2pWJ0F9acQiYSyEHG5xnB/wDHm4HHNVNW+N3xQv8ATYNK1DxjfPZWzFoYDOcIT3A6cfp2rnbk71ELDhpMZHWobuyh+0Mct07mu2m7DWLxEo/Exbjxf4gjlka11m6Qtk7xMwJJXaT19CR9M+tY891fXJ8ya5kdgeNzknk89a17uzgkgjcrg8dKpXMMdv8ANEuCeh9K64VNh+2qPdlH95IhYsevQmnJCTye/vUscKMSpz93P40zbtQEMenrXTGWqDmbIzHztbsaVohjDDr3qxBEkp+YdRz+Yoa2jRmUMx2jjJ98VrqLmZBuUqEXqB1p2Y9gU/jTp41G3HGajkUbAee1NX5gVmwPXaOlBVQuB681Za1iik2DJA9T7UxYlaZhk4wT/Oge5Bwq4HalySozirFvBG6O7DJA4ptrEjscjoRj8xSsxN3EgABDNwAeTnrV2O8idMOd2WxwucD1xVe4t0+2RQgnDrk8/WtG3s4IVIRPugkE1MZXJEiEUmAkwx/CDWlpF2ltlXcK2eDnvWdDBHLIsrDDHuKnntI4JNkbMAPeol8RcXys77RNeDwLaZyccuzf59q7bwoLfQtGu/Ec8salYykTNwNxxn+g/OvHtH3RFWV2zu6k9a9A1m6uIvC0Fksp2SfM2exx2/OiFVx0PbwM3Iz7zV5NTu/PnchXclygyea7v4PWWl2Vxc+PdURFtdIiYoSvBk2nn32g5+rCvO9StY7IJJAWyV5yetdr46B0b4Q6VpmnsY475FkuSOrkjeefrj8ABWntnsenShzNy7alCD4nTXXxDTxpKXw11kgn7sXTbj6V9ZfD/wCIFvreipazzhmigDRyHkSx46k+o6e/X1r4Z0tQxMbZIHPX2r6O/Z+aVPhTJe+e5dr14QWYnaigYUenU0e21sFBupLU+iPhZ4w0/QfEM/ijXL27snlI+xazaTbZbHBOXy3GGDEMHBRl3BtuQa9rtPjPo0gjsfG0dtZuzBI9Ztxtsbti2FPJJtZG4/dudpJwjN0HzJ4Sv7nVPDqXNyw3hWHyjGcEj+lWdK8Va14T1Cx07SrrNnqE5hmsZ13wqMEkqp+7npt+7yflzzXRCryxuzZrmlyna/tEaL4a0PxFbp4enV7i/UyyWcK5CljhWAHQsc8d8ZHXnyHWhDqULQ3IDKy9+ldBoup3OiTX3jTTVjjuNKkja0txEPIUOzKV2Y4AB4CkYqp8Rlt59bttZgs47ZtTtjPcwW4KxCTdglQSduepGcZrOMlVncucOSNhfhb8Tx4CuLfw34miludIU7bWYAs1hzkADvHz06jtxxXvN5c6WPC6eJrXUIJop1HkPDIGD8dsV8wXcKqglBOQeM10+l6xfeH/AIVQ39pKZDJK0jRTMxTJfBAAIwOO1VWm4R0HShzzsz1vwtatfaifEWpRHyQCLcE8g/38dx2rv/h/8ZYvC9wDY29tdRRyYmilhVwpx0KsPQ5/HIPevnT4IfGLxj8T/GeraPrb21tZaRZwrbWlhDsRy5YFnLFmJAUADIHJ4rqvF6vo5bX9MneG5i4LIeJFH8LDow/yKilUaipI2nBxnqfTdn4w0TxUGvNOjSMOS3koTiPJ6DcScfUn6muW8T/FbR9E1d9NVBMYwN7A8A9xXnGl6vqEGkRana3LQyyRKzGM4GSM1D4b8K6f4pt7jUtVuLgyi6ZMxzbQRtU/1NP6zKcuU0UIqNz/2Q==\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[1.1432256e-05 5.1236721e-06 9.9998331e-01 1.3477799e-07]] 2\n",
            "label: other\n",
            "Predicted: other\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[1.2421632e-06 5.4040350e-09 1.0179291e-06 9.9999774e-01]] 3\n",
            "label: rotate\n",
            "Predicted: rotate\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[2.8732254e-03 9.9710947e-01 1.6961296e-05 3.6603950e-07]] 1\n",
            "label: hojicha\n",
            "Predicted: hojicha\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[8.1564346e-04 1.6516968e-04 7.7773412e-03 9.9124181e-01]] 3\n",
            "label: rotate\n",
            "Predicted: rotate\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[1.2431147e-05 3.8862658e-05 2.3283917e-05 9.9992549e-01]] 3\n",
            "label: rotate\n",
            "Predicted: rotate\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/jpeg": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "[[7.5599555e-06 8.0038154e-07 9.6210624e-07 9.9999070e-01]] 3\n",
            "label: rotate\n",
            "Predicted: rotate\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pYAB-o9kBpBh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}