Malware_Classification.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 5,
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.6.9"
    },
    "colab": {
      "name": "Malware Classification.ipynb",
      "provenance": []
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "minor-current"
      },
      "source": [
        "import sys\n",
        "import os\n",
        "import time\n",
        "from math import log\n",
        "import numpy as np\n",
        "import scipy as sp\n",
        "from PIL import Image\n",
        "import matplotlib.pyplot as plt\n",
        "import pydot\n",
        "from IPython.display import SVG\n",
        "from livelossplot import PlotLossesKeras"
      ],
      "id": "minor-current",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "historical-wound",
        "outputId": "860f005a-9ec9-4799-c54b-7f539e86e5e1"
      },
      "source": [
        "import keras\n",
        "from keras.preprocessing.image import ImageDataGenerator\n",
        "from keras.models import Sequential, Input, Model\n",
        "from keras.layers import Dense, Dropout, Flatten, Conv2D, MaxPooling2D\n",
        "from keras.layers.advanced_activations import LeakyReLU\n",
        "from keras.layers.normalization import BatchNormalization\n",
        "from keras.utils.vis_utils import model_to_dot\n",
        "from sklearn.utils import class_weight\n",
        "from sklearn.model_selection import train_test_split"
      ],
      "id": "historical-wound",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "organizational-lambda"
      },
      "source": [
        "path_byte_files = \"c:/Users/Moon/Malware_Classification/byte_data/\"\n",
        "path_dataset= 'C:/Users/Moon/Malware_Classification/malimg_paper_dataset_imgs/'\n",
        "path_saved_img_dir = 'C:/Users\\Moon/Malware_Classification/png_dataset/'"
      ],
      "id": "organizational-lambda",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "armed-union"
      },
      "source": [
        "def imageProcess(array,name):\n",
        "    print('Processing '+name)\n",
        "    if array.shape[1]!=16: #If not hexadecimal\n",
        "        assert(False)\n",
        "    b=int((array.shape[0]*16)**(0.5))\n",
        "    b=2**(int(log(b)/log(2))+1)\n",
        "    a=int(array.shape[0]*16/b)\n",
        "    array=array[:a*b//16,:]\n",
        "    array=np.reshape(array,(a,b))\n",
        "    im = Image.fromarray(np.uint8(array))\n",
        "    image_name = path_saved_img_dir + name + '.png'\n",
        "    im.save(image_name, \"PNG\")\n",
        "    return im"
      ],
      "id": "armed-union",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": true,
        "id": "complex-sculpture",
        "outputId": "716f55d3-f713-4b0c-f1bf-f59b0e2c6c64"
      },
      "source": [
        "#Get the list of files\n",
        "files=os.listdir(path_byte_files)\n",
        "print('files : ',files)\n",
        "#We will process files one by one.\n",
        "for counter, name in enumerate(files):\n",
        "        #We only process .bytes files from our folder.\n",
        "        if '.bytes' != name[-6:]:\n",
        "            continue\n",
        "        f=open(path_byte_files+'/'+name)\n",
        "        array=[]\n",
        "        for line in f:\n",
        "            xx=line.split()\n",
        "            if len(xx)!=17:\n",
        "                continue\n",
        "            array.append([int(i,16) if i!='??' else 0 for i in xx[1:] ])\n",
        "        plt.imshow(imageProcess(np.array(array),name))\n",
        "        del array\n",
        "        f.close()"
      ],
      "id": "complex-sculpture",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "files :  ['0A32eTdBKayjCWhZqDOQ.bytes', '0ACDbR5M3ZhBJajygTuf.bytes']\n",
            "Processing 0A32eTdBKayjCWhZqDOQ.bytes\n",
            "Processing 0ACDbR5M3ZhBJajygTuf.bytes\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tropical-blanket"
      },
      "source": [
        "def summary(X_train, y_train, X_test, y_test):\n",
        "    print('Train images shape:', X_train.shape)\n",
        "    print('Train labels shape:', y_train.shape)\n",
        "    print('Test images shape:', X_test.shape)\n",
        "    print('Test labels shape:', y_test.shape)    "
      ],
      "id": "tropical-blanket",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "comparable-spice"
      },
      "source": [
        "n_epoches = 10\n",
        "image_size = (64,64)\n",
        "batches = 10000\n",
        "num_classes = 25\n",
        "rand_seed = 40\n",
        "lr=0.0001"
      ],
      "id": "comparable-spice",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fitted-jerusalem",
        "outputId": "7e69cd89-a202-4a15-be20-200d9593729d"
      },
      "source": [
        "batches = ImageDataGenerator().flow_from_directory(\n",
        "    directory=path_dataset, \n",
        "    target_size=image_size, \n",
        "    batch_size=batches,\n",
        "    seed = rand_seed)"
      ],
      "id": "fitted-jerusalem",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 9339 images belonging to 25 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "prescribed-region"
      },
      "source": [
        "imgs, labels = next(batches)"
      ],
      "id": "prescribed-region",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "relative-honor"
      },
      "source": [
        "X_train, X_test, y_train, y_test = train_test_split(imgs/255.,labels, test_size=0.2)"
      ],
      "id": "relative-honor",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "running-pottery",
        "outputId": "9dcb1339-2782-40c8-efcb-7d92a89b2090"
      },
      "source": [
        "summary(X_train, y_train, X_test, y_test)"
      ],
      "id": "running-pottery",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Train images shape: (7471, 64, 64, 3)\n",
            "Train labels shape: (7471, 25)\n",
            "Test images shape: (1868, 64, 64, 3)\n",
            "Test labels shape: (1868, 25)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "provincial-support"
      },
      "source": [
        "def malware_model():\n",
        "    Malware_model = Sequential()\n",
        "    Malware_model.add(Conv2D(60, kernel_size=(3, 3), input_shape=(64,64,3)))\n",
        "    Malware_model.add(LeakyReLU(.3))#.1\n",
        "    Malware_model.add(MaxPooling2D(pool_size=(2, 2)))\n",
        "    \n",
        "    Malware_model.add(Conv2D(30, (3, 3)))\n",
        "    Malware_model.add(LeakyReLU(.3))\n",
        "    Malware_model.add(MaxPooling2D(pool_size=(2, 2)))\n",
        "    \n",
        "    Malware_model.add(Dropout(0.25))\n",
        "    \n",
        "    Malware_model.add(Flatten())\n",
        "    \n",
        "    Malware_model.add(Dense(128))\n",
        "    Malware_model.add(LeakyReLU(.1))\n",
        "    Malware_model.add(Dropout(0.50))\n",
        "    \n",
        "    Malware_model.add(Dense(64))\n",
        "    Malware_model.add(Dense(num_classes, activation='softmax'))\n",
        "    \n",
        "    opt = keras.optimizers.Adam(learning_rate=lr)\n",
        "    Malware_model.compile(loss='categorical_crossentropy', optimizer = 'adam', metrics=['accuracy'])\n",
        "    \n",
        "    return Malware_model"
      ],
      "id": "provincial-support",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wrong-mount"
      },
      "source": [
        "Malware_model = malware_model()"
      ],
      "id": "wrong-mount",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "twenty-latino",
        "outputId": "d76f0c2d-fe04-4c88-83c1-ec4a37f27947"
      },
      "source": [
        "Malware_model.summary()"
      ],
      "id": "twenty-latino",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_1\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "conv2d_1 (Conv2D)            (None, 62, 62, 60)        1680      \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_1 (LeakyReLU)    (None, 62, 62, 60)        0         \n",
            "_________________________________________________________________\n",
            "max_pooling2d_1 (MaxPooling2 (None, 31, 31, 60)        0         \n",
            "_________________________________________________________________\n",
            "conv2d_2 (Conv2D)            (None, 29, 29, 30)        16230     \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_2 (LeakyReLU)    (None, 29, 29, 30)        0         \n",
            "_________________________________________________________________\n",
            "max_pooling2d_2 (MaxPooling2 (None, 14, 14, 30)        0         \n",
            "_________________________________________________________________\n",
            "dropout_1 (Dropout)          (None, 14, 14, 30)        0         \n",
            "_________________________________________________________________\n",
            "flatten_1 (Flatten)          (None, 5880)              0         \n",
            "_________________________________________________________________\n",
            "dense_1 (Dense)              (None, 128)               752768    \n",
            "_________________________________________________________________\n",
            "leaky_re_lu_3 (LeakyReLU)    (None, 128)               0         \n",
            "_________________________________________________________________\n",
            "dropout_2 (Dropout)          (None, 128)               0         \n",
            "_________________________________________________________________\n",
            "dense_2 (Dense)              (None, 64)                8256      \n",
            "_________________________________________________________________\n",
            "dense_3 (Dense)              (None, 25)                1625      \n",
            "=================================================================\n",
            "Total params: 780,559\n",
            "Trainable params: 780,559\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "changed-convert"
      },
      "source": [
        "y_train_new = np.argmax(y_train, axis=1)"
      ],
      "id": "changed-convert",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "about-suspension",
        "outputId": "35ec80c0-69d0-48a1-8d20-451e6692ab6e"
      },
      "source": [
        "y_train_new"
      ],
      "id": "about-suspension",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 3,  2,  2, ...,  3,  2, 22], dtype=int64)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "nominated-pharmaceutical",
        "outputId": "3883c192-6170-4d0a-f492-27c253b1b413"
      },
      "source": [
        "class_weights = class_weight.compute_class_weight('balanced',\n",
        "                                                 np.unique(y_train_new),\n",
        "                                                 y_train_new)"
      ],
      "id": "nominated-pharmaceutical",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "C:\\Users\\Moon\\Anaconda3\\envs\\keras-gpu\\lib\\site-packages\\sklearn\\utils\\validation.py:70: FutureWarning: Pass classes=[ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23\n",
            " 24], y=[ 3  2  2 ...  3  2 22] as keyword args. From version 0.25 passing these as positional arguments will result in an error\n",
            "  FutureWarning)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "challenging-natural",
        "outputId": "f175eb2d-fed8-45ce-a08e-50dd2ad8c27d"
      },
      "source": [
        "history = Malware_model.fit(X_train, y_train, \n",
        "                  validation_data=(X_test, y_test), \n",
        "                  epochs= n_epoches,\n",
        "                  callbacks = [PlotLossesKeras()],\n",
        "                  verbose=1,\n",
        "                  class_weight=class_weights)"
      ],
      "id": "challenging-natural",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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frN2d8Ow/YM1j23aj1j+TrNjXq64BJs6Bg16XDVFzktv6GVCSJ7/LKLfihc38/N6V3HDvCp5at5myktAXlA6aPpaXL6jcZsretPoqJtZW5M//i9KeqpuW3LoXliQVHQOWiDFy69LV/OevHuGZ5zdTWV5Ce2cSWMaUlbD/tAwHNmY4oKGeAxrr2W9K3ch2Cbo74YGfwG1fhPVPJ8fKq2HCPskqfQe9fttu1BiXhM5Hm7Z08ZuHV3HDPSu4Y/k6AI6cNZ73nDiH0w+cRu0Y/zrSKFI2BqonuheWJBUh/0Uzyi1fs5HP/uoR/vzYGvadXMuPLzqSI2dP4Mm1m1jStIGHVmzg4aYN3HhfEz+68xkAyksDc6fWcWBjPQsa6jmwsZ65U+tyf11Ldyfc/2P46xeTLlXDIXDKZ5Nl0DONqXWjurp7ePaFNp5YvZHlazeyfM0mlq/ZxDPPb2bfKbWcMn8KJ8+bQsPYqlTqyyc9PZE7n1zHDfes5DcPN7O5o5u9xlfzoZP34zWHNjJjfHXaJUrpyTRAi1MEJanYGLBGqU1buvjqH5fx3duXU1lWyidfNZ83H7035dkpWHMm1zJnci1nLUxWuurpiTzz/GYeWpkErodXbuDmh1bxk7ueBaCsJLDvlDoOyE4tPKCxnvnTMlRVDCF0dXXAAz+Gv34pG6wOhVd8CfY9JVnFYIS8sKmD5Ws38sSaTTyxpjdIbeSZ5zfT2b1146MJNRXMnlTD0ftM4IFn1/OpG5fwqRuXsKAh0xe2FjRkCHm+X1EuPbV2Ez+7dwU33LuSlevbqB1TxhkHNfDaw6Zz+Mxxo+q9kHYo0wAb7GBJUrExYI0yMUZueqCJ/7n5UVa1tHPOYdP52Gn7M6luzE5fV1ISmDmxhpkTazjj4Ia+77XihTYezoauh1a28IdHV/PTe1YkrwlJUOudWnhAYz3zGzI7ngrW1QH3Xw1/vRQ2PJN0ql55Kcw5ediCVWd3D0+v28zyNRtZvjYJUE9kg1T/vZHKSwMzJ9QwZ3Itpy6YyuyJNcyeVMs+k2oYW12xzfd8Ys1GbnnkOW595Dm+/IfHuezWx2mor+TkbNg6avaEolyIoaW9k18/2MwN96xg8dMvEAIcO2ciHz1tLqfOnzq0sC0Vs0wDPHtX2lVIknLMgDWKLG1u4ZKblnDXk89zYGM937jgUA7da9yQv18IgRnjq5kxvprTD0wu2I4x0ryhPRu6Wnh45QZuX7aWn923MvsamDWxhgOyUwsXNGZYMKWK+kevzQarZ6FxEbzq/2DOSTkJVjFGnt/UwfK1m7LT+pIA1Tutr6tnazdqYu0YZk+q4bQDprLPpFpmT6ph9sRapo+rGvQCC/tMqmWf42t55/H7sHbjFv746GpufeQ5frp4BVfe8TS1Y8o4fu4kTp0/hRP2m0x9dfke/45p6e6J3L5sLTfcs4LfLVnFlq4e9plUw0dPm8vZhzQyrd5pktIOZRqg7XnobINy/6xIUrEwYI0CGzZ3cuktj3HVnU8ztrqC/3nNgZy7aAalJbnvCoUQaBhbRcPYKk5dMLXv+OqW9qTLtaKFh5s2cPdTz/PbB57mdaV/Ya+ym6gPa1leOZ9HDvoa9Qe8nAMaxjJuN8PVlq5unlm3OelArd3IE6s39V0jtaFtazeqorSEWRNrmDu1jtMPnMrsibXsM7mWWRNrqK/KbdiZWDuGcxfN4NxFM2jv7OZvy9Ym3a2lq/n1g82UlgSOmDmeU+ZP4ZT5UwrmmqRlq1u5/p6V/Py+FTzXsoX6qnLOXTSD1x42nYOn1zsFUBqM3s2GW5th/Ox0a5Ek5UyIMe76rBG2aNGiuHjx4rTLKHjdPZHrFj/LF373GOs3d/Cmo/bmw6fMTb9j0rUF7ruK7tsupbR1Jc2Zg/hp7flc9/y+rFjf3nda49gqDmys54DGDAsak47XhJoK1mzc0rewRO/UvifWbOTZ5zfTrxnF5LqkG5V0opJu1D4Ta2kcVzUs4XJ39PREHlixPhu2nuOfz20EYP+pdZw8LwlbBzbWU5Jynf2t39zBTQ80ccM9K3hgxQZKSwIn7DeJ1x42nZPmTWZMmVMANTxCCPfEGBelXUfOx6Yn/gRXvRre+muYeWzuvq8kaUTsaHyyg1Wk7n3mBS65cQkPrdzAETPH8+kzFzC/IeXNdLu2wL1Xwu3/By0rKZ1xJLz6a0ybfSLvD4H3k/wj/uGVLdlrujawZOUGfrtkVd+36L+EPCTLyPdOOTzz4Ia+QDVrYg11lfk79a6kJHDIXuM4ZK9xfPS0/Xl63SZueeQ5bnnkOb7x52V87U/LmFw3hpPmTeHU+VM4ep8JuV+lcRA6u3v4y2NruOHeFfxh6Wo6unvYf2od//HKeZy1sHGX1+5J2oneDpZ7YUlSUTFgFZk1rVv4398+yvX3rGBKZgxfPm8hZx7ckO6Urc52uO+q5Bqr1iaYcRSc9XWYfcKLrrEaW13BsftO5Nh9J/Yda2nvZMnKFpY0bWDl+jb2Gl+ddKQm1tA4tiqvujxDtfeEGi566WwueulsXtjUwZ//uZpbHnmOm+5fyU/ueobqilKO23cSJ8+fwsv2n8z4mopdf9M98EhTCzfcu4Ib71/J2o0dTKip4Pyj9uKcw6azoKF+WH+2NGpkejcbdiVBSSomBqwi0dndww///hRfvvVx2ru6eefx+/C+l82hJs3NWzvbsx2rS5NrDPY6Gs7+Jsw6frcWr8hUlnP0PhM4ep8Jw1hs/hhXU8HZh0zn7EOms6WrmzueWMetS5/j1kdW89slqygJsGjv5Lqtk+dPYdbEmpz83LUbt3Dj/U1cf88Klja3UF4aOGn/Kbz2sOmcMHdS3xL+knJkTB2MqXcvLEkqMgasIvD3ZWu55KYlPL56I8fvN4lLzpjP7Em16RXU2Q73/jCZCtjaDHu9BM7+Fsw6bkT3sSoGY8pKOWHuZE6YO5n/PCvy8MoWbnlkFbcsXc3nbl7K525eypzJtdnrtiazcMa43bq+bEtXN39cupob7l3Bnx9bQ1dP5KDp9XzmzAWceXAD44a5UyaNeplpdrAkqcgYsArYyvVtfO7Xj3DzQ6vYa3w1337zIk6eNzm96YCdbXBPNlhtXAV7HwOvuQJmvtRglQMhBA6cXs+B0+v58KlzWfHCZm7Nrkj4nb8u5/K/PMHE2gpetv9kTpk/lWPnTNzu3lMxRh5csYEb7l3BTQ80sX5zJ5PrxvC2Y2fx2sOms9+UuhR+O2mUyjR4DZYkFRkDVgFq7+zm27ct5+t/XgbAR07Zj7cfNzuVRRCAbLD6QTZYPQd7Hwuv/Q7Memk69YwS08dV89ZjZvHWY2axoa2Tv/xzDbc88hy/eWgV1y1eQWV5CcfOmcQp8yfzsv2n0BMjP79vJdffs4JlqzdSUVbCyxdM5bWHNnLsnImD3udLUg5lGmD10rSrkCTlkAGrgMQYuXXpav7zV4/wzPObecWBU/n3V86ncWxKG1R2tsHi78PfLkuC1cyXwmu/a7BKQX1VOWce3MCZBzfQ0dXD3U8937cq4a1LnyOEhwhAT4TD9h7Hf599IK88aFrO9/2StJsyjdC6Cro7odQ/j5JUDAxYBWL5mo189leP8OfH1rDv5FquvuhIjpkzcdcvHA4dm+Ge78Ptl8Gm1UmwOud77uOSJyrKSjhmzkSOmTORS86Yz9LmVm5d+hzdPZGzFjake32epG3VTQNi8iFV/fS0q5Ek5YABK89t2tLFV/+4jO/evpzKslL+45XzeMtLZqazolvHZlj8Pfjbl5NgNes4OP4HMPOYka9FgxJCYH5DJv090CRtX/+9sAxYklQUDFh5KsbITQ808d83L+W5li2cc9h0PnraXCbXVY58MR2b+gWrNcky6yf8EPZ+ycjXIknFJNOQ3LrQhSQVDQNWHlra3MIlNy3hrief58DGer55wWEcute4kS+kYxPc/d0kWG1em2wMfPzHYe+jR74WSSpGBixJKjoGrDyyYXMnl97yGFfd+TT1VeX8z2sO5NxFM3ZrX6Oc2LIR7v4O/P2r2WB1IpzwcdjrqJGtQ5KKXdU4KKt0LyxJKiIGrDzQ3RO5bvGzfOF3j7F+cwcXHLU3Hz5lP8ZWp7DJ671Xwa2XwOZ1sM/Lko7VXkeOfB2SNBqE4F5YklRkBhWwQginAV8GSoHvxBg/P+D5ccD3gH2AduBfYowPZ597CmgFuoGuGOOinFVfBO595gUuuXEJD63cwBEzx/PpMxektyDB3d+BX38k2SD45E/DjCPSqUOSRpNMI7Q2p12FJClHdhmwQgilwNeBU4AVwN0hhJtijI/0O+3fgPtjjGeHEPbPnn9Sv+dPjDGuzWHdBW9N6xb+97ePcv09K5iSGcOXz1vImQc3EMIITwfsdf+Pk3C132lw7lVQlkL3TJJGo7pp8OydaVchScqRwXSwjgCWxRiXA4QQrgHOAvoHrPnA/wDEGB8NIcwMIUyJMT6X64ILXXdP5Ad/f4rLbvkn7V3dvPP4fXjfy+ZQMybF2ZoP3wA3vidZxOJ1PzRcSdJIyjRASzP09EBJCltwSJJyajD/qm8Enu33eAUw8KKcB4DXALeHEI4A9gamA88BEfh9CCEC34oxXrG9HxJCuBi4GGCvvfband+hYDRvaOND197Pncuf5/j9JnHJGfPT3/T10V/DDW+HGUfBeT+G8hSWgZek0SzTCD2dyaJCtZPTrkaStIcGE7C2N2ctDnj8eeDLIYT7gYeA+4Cu7HPHxBibQgiTgVtCCI/GGG970TdMgtcVAIsWLRr4/Qve75as4mM3PEhHVw9fOOcgzjlsenrTAXs9fiv89K3QcAicfx1U1KRbjySNRv2XajdgSVLBG0zAWgHM6Pd4OrDNckcxxhbgQoCQpIYns1/EGJuyt6tDCD8nmXL4ooBVrNo6uvmvXz/C1f94hgMaM3zlvEPS71oBPPlXuPZ8mDQXLrgextSlXZEkjU6ZacltSxM0LEy1FEnSnhtMwLob2DeEMAtYCZwHvLH/CSGEscDmGGMHcBFwW4yxJYRQA5TEGFuz908FPpvLXyCfLW1u4f0/uY/HV2/k4uNm86+nzqWiLA/m1z97F/z49TBuJrzpF8k+LJKkdGQak1v3wpKkorDLgBVj7AohvBf4Hcky7d+LMS4JIbwz+/zlwDzgyhBCN8niF2/LvnwK8PPsVLgy4Mcxxt/m/tfILzFGfvj3p/jv3zxKprKcK//lCI7bb1LaZSWa7oMfvRbqpsCbb4SaiWlXJEmjW80kKClzqXZJKhKDWrouxngzcPOAY5f3u38HsO92XrccOHgPaywo6zZu4aPXP8gfHl3NiXMn8YXXHczE2jFpl5V4bglcdTZUjoW3/BLqpqZdkSSppBRqp7rZsCQViRTXBi8+tz++lg9fdz/rN3fyqVfN58JjZqa/kEWvtY/DlWdBWSW85Saon552RZKkXpkGpwhKUpEwYOVAR1cPX7rlMa64bTmzJ9bwgwuPYH5DJu2ytnr+Sfjhmcn9N98E42elW48kaVuZBnju4bSrkCTlgAFrDz21dhPvv+Y+HlyxgTccsRefetV8qipK0y5rqw0r4MozoasN3vprmLRf2hVJkgbKNMLjt0CMkC8zHyRJQ2LAGqIYIz+7dyWfuvFhykpL+Ob5h3L6gdPSLmtbravgh2dA2/pkWuCUBWlXJEnansw06NwE7Rugamza1UiS9oABawha2jv55C8e5sb7mzhi1ngue/1CGsZWpV3WtjatTa65an0O3vTzZDNhSVJ+6r/ZsAFLkgqaAWs33fvMC3zgmvtoWt/Oh0/Zj/ecOIfSkjybztH2Alz1anjhKTj/p7DXkWlXJEnamb69sJpgyvx0a5Ek7RED1iB190Qu/8sTXHrLP5maqeS6dxzFYXuPT7usF9vSCj86B1Y/Cm+4BmYdl3ZFkqRd6e1gtbpUuyQVOgPWIDRvaOND197Pncuf54yDG/ivVx9AfVV52mW9WMdmuPrcZDPhc6+EfU9OuyJJ0mDUZvcldC8sSSp4Bqxd+N2SVXzshgfp6OrhC+ccxDmHTc+fva3662yHa94Iz94Jr/0OzHtV2hVJkgarrAJqJrsXliQVAQPWDrR1dPNfv36Eq//xDAc21vPl8xYye1Jt2mVtX1cH/PQtsPxPcNY34IDXpl2RJGl3ZRqgpTntKiRJe8iAtR2PrmrhfT++j8dXb+Ti42bzr6fOpaKsJO2ytq+7C352Efzzt/DKL8Eh56ddkSRpKDIN8MLTaVchSdpDBqx+YoxcecfTfO7mpWQqy7nyX47guP0mpV3WjvX0wI3vhkduhFM/B4dflHZFkqShyjTA039PuwpJ0h4yYGWt27iFj17/IH94dDUnzp3EF153MBNrx6Rd1o7FCL/6IDx4LbzsP+Al7027IknSnsg0QPv6ZMGiiuq0q5EkDZEBC/jbsrV86Nr7Wb+5k0+9aj4XHjMzPxey6BUj/PbjcO8P4aUfgeP+v7QrkiTtqd69sFqbYcI+6dYiSRqyUR2wOrp6uPSWf/Kt255g9sQafnDhEcxvyKRd1s7FCH/4DPzjcjjq3fCyT6ZdkSQpF+qmJbctKw1YklTARm3AemrtJt5/zX08uGIDbzhiLz71qvlUVZSmXdau3fYFuP3/4LAL4eX/DfncaZMkDV5vB8u9sCSpoI26gBVj5Gf3ruRTNz5MWWkJ3zz/UE4/cFraZQ3O374Cf/ocHPwGeOWlhitJKiaZfh0sSVLBGlUBq7W9k//4xcPceH8TR8waz2WvX0jD2Kq0yxqcu74Nt3wSFpwNZ34NSvJ02XhJ0tBU1EDlWPfCkqQCN2oC1r3PvMAHrrmPpvXtfPiU/XjPiXMoLSmQDtC9V8HN/wpzXwGv+TaUjpr/bJI0umQanCIoSQWu6P+l3t0TufwvT3DpLf9kaqaS695xFIftPT7tsgbvoevhpvfBPi+Dc74PpeVpVyRJGi6ZBqcISlKBK+qAtWpDOx+89j7uXP48ZxzcwH+9+gDqqwoooCz9JfzsYtj7GHj91VBemXZFkqThlGmA5gfTrkKStAeKNmD9bskqPnbDg3R09fCFcw7inMOm5/feVgM9fgv89EJoPBTeeI2bTkrSaJBphE1roKsDyirSrkaSNARFGbC+9Zcn+J/fPMqBjfV8+byFzJ5Um3ZJu2f5X+DaC2DyPDj/ehhTl3ZFkqSRUDcNiLBxFYzdK+1qJElDUJQB66R5k3lhcycfPmU/KsoKbLW9Z+6En5wH42bBm34BVWPTrkiSNFL674VlwJKkglSUAWvO5Do+fvr+aZex+1beAz86J5mD/+YboWZC2hVJkkZSpiG5dSVBSSpYBdbeKWKrHoarXgPV4+HNN0HdlLQrkiSNtL7Nhg1YklSoDFj5YM1jcOVZUF4Nb7kJ6hvTrkiSlIbKsclYYMCSpIJlwErbuifgh2dCKIG3/BLGzUy7IklSWkJwLyxJKnBFeQ1WwVj/bNK56u6At/4aJs5JuyJJUtoyDdDanHYVkqQhsoOVlpZm+OEZ0N4Cb/o5TJmfdkWSpHxQ1+AUQUkqYAasNGxck3SuNq2BC26AhoVpVyRJyhe9Haye7rQrkSQNgQFrpHV3wY/OhvVPwxuvhRmHp12RJBWdEMJpIYTHQgjLQggf387z9SGEX4YQHgghLAkhXJhGnduVaYCeruRDOElSwTFgjbR1y2DVQ/Dyz8HMY9OuRpKKTgihFPg6cDowH3hDCGHgPOz3AI/EGA8GTgC+FEKoGNFCd6T/ZsOSpIJjwBpprdkBc9K8dOuQpOJ1BLAsxrg8xtgBXAOcNeCcCNSFEAJQCzwPdI1smTvgXliSVNAMWCOtd8DsHUAlSbnWCDzb7/GK7LH+vgbMA5qAh4APxBh7Bn6jEMLFIYTFIYTFa9aM0JQ9O1iSVNAMWCOtJbv0bl1DunVIUvEK2zkWBzx+OXA/0AAsBL4WQsi86EUxXhFjXBRjXDRp0qRc17l91ROhpHzrjAdJUkExYI201iaoGg/llWlXIknFagUwo9/j6SSdqv4uBH4WE8uAJ4H9R6i+nSspgbppdrAkqUAZsEZaS3OyQpQkabjcDewbQpiVXbjiPOCmAec8A5wEEEKYAswFlo9olTuTcS8sSSpUZWkXMOq0NiWfTEqShkWMsSuE8F7gd0Ap8L0Y45IQwjuzz18O/CfwgxDCQyRTCj8WY1ybWtEDZRqg+f60q5AkDYEBa6S1NMO0g9OuQpKKWozxZuDmAccu73e/CTh1pOsatEwDPPYbiBHC9i4pkyTlK6cIjqTuzmTjSBe4kCTtTKYButqg7YW0K5Ek7SYD1khqXQVEl2iXJO1c77W6XoclSQXHgDWSWl2iXZI0CO6FJUkFy4A1klpWJrd2sCRJO9PbwXIvLEkqOAaskeQmw5KkwaidAgQ7WJJUgAxYI6m1CUrHQPX4tCuRJOWz0vIkZPXOfJAkFQwD1khqaU6mB7rkriRpVzINW2c+SJIKhgFrJLU2Oz1QkjQ4mQanCEpSATJgjaSWJhe4kCQNjgFLkgqSAWukxJjtYBmwJEmDkGmALRtgy8a0K5Ek7QYD1khpewG62rcuvStJ0s707oXV6nVYklRIDFgjpW+TYTtYkqRB6B0vXElQkgqKAWuk9K4EZQdLkjQYveOF12FJUkExYI2U3k8g7WBJkgajL2DZwZKkQmLAGilOEZQk7Y7yKqga715YklRgDFgjpaUJaiZBWUXalUiSCoVLtUtSwTFgjRSXaJck7a5Mg1MEJanAGLBGSkuzC1xIknaPHSxJKjgGrJHS2mQHS5K0ezKNsHktdG1JuxJJ0iAZsEZC1xbYvM4OliRp9/R+MOdmw5JUMAxYI8EVBCVJQ+FeWJJUcAxYI6Fvk2EDliRpN2Qak1sDliQVDAPWSOjbZNgpgpKk3dD7wZwBS5IKhgFrJLTawZIkDcGYDFTUGrAkqYAYsEZCSzOUV0Pl2LQrkSQVkhDcC0uSCowBayT0LtEeQtqVSJIKTabBVQQlqYAYsEaCmwxLkoaqzs2GJamQGLBGgpsMS5KGKtMArauguyvtSiRJg2DAGm4xJgOjC1xIkoYi0wCxGzatTrsSSdIgGLCG2+Z10N3hEu2SpKHp2wvL67AkqRAYsIZb77x5O1iSpKHo2wvLlQQlqRAMKmCFEE4LITwWQlgWQvj4dp4fF0L4eQjhwRDCXSGEAwb72qLXu/KTHSxJ0lD0dbBc6EKSCsEuA1YIoRT4OnA6MB94Qwhh/oDT/g24P8Z4EPBm4Mu78dri1vuJox0sSdJQVE+A0opkwSRJUt4bTAfrCGBZjHF5jLEDuAY4a8A584E/AMQYHwVmhhCmDPK1xa2lGUIJ1E5JuxJJUiEKIVmJ1g6WJBWEwQSsRuDZfo9XZI/19wDwGoAQwhHA3sD0Qb6W7OsuDiEsDiEsXrNmzeCqLwStTVAzGUrL065EklSoMo0GLEkqEIMJWGE7x+KAx58HxoUQ7gfeB9wHdA3ytcnBGK+IMS6KMS6aNGnSIMoqEC3NTg+UJO2ZTIOLXEhSgSgbxDkrgBn9Hk8HtvkYLcbYAlwIEEIIwJPZr+pdvbbotTbDuFlpVyFJKmSZBljanOytGLb32aUkKV8MpoN1N7BvCGFWCKECOA+4qf8JIYSx2ecALgJuy4auXb626LU02cGSJO2ZTAN0b4HNz6ddiSRpF3bZwYoxdoUQ3gv8DigFvhdjXBJCeGf2+cuBecCVIYRu4BHgbTt77fD8Knmosw3a1ycXJ0uSNFSZ7FYfLSuhZkK6tUiSdmowUwSJMd4M3Dzg2OX97t8B7DvY144afZsMuweWJGkP9N8La9pB6dYiSdqpQW00rCHq22TYDpYkaQ/0flDnXliSlPcMWMPJDpYkKRdqJid7KrpUuyTlPQPWcOodCO1gSZL2RGkZ1E41YElSATBgDafWZqiog8pM2pVIkgpdpsGAJUkFwIA1nFyiXZKUKwYsSSoIBqzh1Nrs9EBJUm4YsCSpIBiwhlNLswtcSJJyI9MAHa3Q3pJ2JZKknTBgDZeeHti4yg6WJCk3evfC6t0CRJKUlwxYw2XTGujpsoMlScqN3g/sWlamW4ckaacMWMOl1SXaJUk51PuBnddhSVJeM2ANl5bsFA5XEZQk5UJfB8uAJUn5zIA1XHqncNQ5RVCSlAPllVA90YAlSXnOgDVcWpshlELt5LQrkSQVi8w0A5Yk5TkD1nBpaYa6qVBSmnYlkqRikWk0YElSnjNgDZfWJhe4kCTlVqbBVQQlKc8ZsIZLS7MLXEiScivTAG3PQ2d72pVIknbAgDVcWptd4EKSlFu940qr0wQlKV8ZsIbDlo2wpcUOliQpt9wLS5LyngFrOLRm98CygyVJyqVMY3Lbu9eiJCnvGLCGQ+8ni3awJEm51DuuuNCFJOUtA9Zw6A1YdrAkSbk0pg7GZJwiKEl5zIA1HFrtYEmSholLtUtSXjNgDYeWZqish4qatCuRJBWbTMPWa30lSXnHgDUcXKJdkjRc6hqcIihJecyANRxampweKEkaHpkGaF0F3Z1pVyJJ2g4D1nCwgyVJGi6ZBiDCxufSrkSStB0GrFzr7koGPTtYkqTh4F5YkpTXDFi5tmk1xB6oM2BJkoaBe2FJUl4zYOVa7yeKGacISpKGQV8Hy4UuJCkfGbByrXcPLDtYkqThUDUOyiq3jjeSpLxiwMq13k8U7WBJkoZDCMmHeHawJCkvGbByraUJSsqhemLalUiSilWm0YAlSXnKgJVrrc3JJ4slvrWSpGGSaXCRC0nKU6aAXHOTYUnScOvdbLinJ+1KJEkDGLByrbeDJUnScMk0QHcHbF6XdiWSpAEMWLkUY7JMuwtcSJKGU+844zRBSco7Bqxc2tICnZvsYEmShldfwHKhC0nKNwasXHKTYUnSSOjdbNi9sCQp7xiwcslNhiVJI6FmEoRSO1iSlIcMWLnUt8mwAUuSNIxKSt1sWJLylAErl3qnCNrBkiQNt0yDAUuS8pABK5dam6BqPJRXpV2JJKnYGbAkKS8ZsHLJJdolSSOlN2DFmHYlkqR+DFi51Nrk9EBJ0sjINCRbg7RvSLsSSVI/Bqxcaml2gQtJ0sjonTHR2pxuHZKkbRiwcqW7EzatgTqnCEqSRkDveNOyMt06JEnbMGDlSusqINrBkiSNjN4OlgtdSFJeMWDlSu8UDTtYkqSR0HvNrwFLkvKKAStX3GRYkjSSyiqgZrIBS5LyjAErV3oHODtYkqSRkplmwJKkPGPAypXWJigdA9Xj065EkjRaZBoNWJKUZwxYudK7RHsIaVciSaNeCOG0EMJjIYRlIYSP7+CcE0II94cQloQQ/jLSNeZEpsFVBCUpz5SlXUDRaG12eqAk5YEQQinwdeAUYAVwdwjhphjjI/3OGQt8AzgtxvhMCGFyKsXuqUwDtK+Hjs1QUZ12NZIk7GDlTkuTC1xIUn44AlgWY1weY+wArgHOGnDOG4GfxRifAYgxrh7hGnOjzs2GJSnfGLByIcZsB8uAJUl5oBF4tt/jFdlj/e0HjAsh/DmEcE8I4c3b+0YhhItDCItDCIvXrFkzTOXugYybDUtSvjFg5ULbC9DVvnWgkySlaXsXw8YBj8uAw4BXAi8HPhlC2O9FL4rxihjjohjjokmTJuW+0j2VyebGFjtYkpQvvAYrF/o2GbaDJUl5YAUwo9/j6cDApfZWAGtjjJuATSGE24CDgX+OTIk50js13Q6WJOUNO1i50PvJoR0sScoHdwP7hhBmhRAqgPOAmwaccyPw0hBCWQihGjgSWDrCde65ihqorHepdknKI3awcqH3k0M7WJKUuhhjVwjhvcDvgFLgezHGJSGEd2afvzzGuDSE8FvgQaAH+E6M8eH0qt4D7oUlSXnFgJULThGUpLwSY7wZuHnAscsHPP4C8IWRrGtYZBqSze4lSXnBKYK50NIENZOgrCLtSiRJo03dNDtYkpRHDFi54BLtkqS0ZBph42ro6ki7EkkSBqzcaGl2gQtJUjoyDUCEjavSrkSShAErN1qb7GBJktLhXliSlFcMWHuqawtsXmcHS5KUDvfCkqS8YsDaU64gKElKU+8HfC50IUl5wYC1p/o2GTZgSZJSUDkWyqu3fuAnSUqVAWtP9e49UucUQUlSCkJIulhOEZSkvGDA2lO9UzLsYEmS0uJeWJKUNwxYe6qlOZmaUTk27UokSaNVptGAJUl5woC1p3qXaA8h7UokSaNVpiG5BqunJ+1KJGnUM2DtKTcZliSlLdMAPV2waU3alUjSqDeogBVCOC2E8FgIYVkI4ePbeb4+hPDLEMIDIYQlIYQL+z33VAjhoRDC/SGExbksPi+4ybAkKW19S7W70IUkpW2XASuEUAp8HTgdmA+8IYQwf8Bp7wEeiTEeDJwAfCmEUNHv+RNjjAtjjItyU3aeiBFaV7nAhSQpXe6FJUl5YzAdrCOAZTHG5THGDuAa4KwB50SgLoQQgFrgeaArp5Xmo83roLvDJdolSenKNCa37oUlSakbTMBqBJ7t93hF9lh/XwPmAU3AQ8AHYoy9V9pG4PchhHtCCBfv6IeEEC4OISwOISxes6ZA5pC7RLskKR9UT4SScqcISlIeGEzA2t7yeHHA45cD9wMNwELgayGETPa5Y2KMh5JMMXxPCOG47f2QGOMVMcZFMcZFkyZNGkzt6ev9pNAOliQpTSUl7oUlSXmibBDnrABm9Hs8naRT1d+FwOdjjBFYFkJ4EtgfuCvG2AQQY1wdQvg5yZTD2/a48nzQ+0mhHSxpVOrs7GTFihW0t7enXUpRqKysZPr06ZSXl6ddSmHKNBiwJDk2DYPdHZ8GE7DuBvYNIcwCVgLnAW8ccM4zwEnAX0MIU4C5wPIQQg1QEmNszd4/Ffjs4H6VAtDSDASonZJ2JZJSsGLFCurq6pg5cybBvfD2SIyRdevWsWLFCmbNmpV2OYUp0wDND6RdhaSUOTbl1lDGp11OEYwxdgHvBX4HLAWuizEuCSG8M4Twzuxp/wm8JITwEPAH4GMxxrXAFOD2EMIDwF3Ar2OMv93t3yxftTYl4arUT1ul0ai9vZ0JEyY4gOVACIEJEyb4ieue6O1gxYGz+CWNJo5NuTWU8WkwHSxijDcDNw84dnm/+00k3amBr1sOHDzoagpNS7PTA6VRzgEsd3wv91CmAbraoO0FqB6fdjWSUuTfp7m1u+/noDYa1g60NrvAhaSCUVtbC0BTUxPnnHPOds854YQTWLx453vCX3bZZWzevLnv8Ste8QrWr1+fszo1RL17YblUu6QCU2zjkwFrT7Q02cGSVHAaGhq4/vrrh/z6gQPYzTffzNixY3NQmfZInZsNSypsxTI+GbCGqrMN2tcny+JKUgo+9rGP8Y1vfKPv8ac//Wk+85nPcNJJJ3HooYdy4IEHcuONN77odU899RQHHHAAAG1tbZx33nkcdNBBvP71r6etra3vvHe9610sWrSIBQsWcMkllwDwla98haamJk488UROPPFEAGbOnMnatWsBuPTSSznggAM44IADuOyyy/p+3rx583j729/OggULOPXUU7f5OcqR3g6We2FJStloH58GdQ2WtqNvk2GnCEqCz/xyCY80teT0e85vyHDJGQt2+Px5553HBz/4Qd797ncDcN111/Hb3/6WD33oQ2QyGdauXctRRx3FmWeeucP549/85jeprq7mwQcf5MEHH+TQQw/te+5zn/sc48ePp7u7m5NOOokHH3yQ97///Vx66aX86U9/YuLEidt8r3vuuYfvf//7/OMf/yDGyJFHHsnxxx/PuHHjePzxx/nJT37Ct7/9bc4991xuuOEGLrjgghy8S+pTNxUIdrAk9UljbALHJztYQ9W3ybAdLEnpOOSQQ1i9ejVNTU088MADjBs3jmnTpvFv//ZvHHTQQZx88smsXLmS5557boff47bbbusbSA466CAOOuigvueuu+46Dj30UA455BCWLFnCI488stN6br/9ds4++2xqamqora3lNa95DX/9618BmDVrFgsXLgTgsMMO46mnntqzX14vVlqerGxrwJKUstE+PtnBGqqWbMCygyUJdvlp3nA555xzuP7661m1ahXnnXceV199NWvWrOGee+6hvLycmTNn7nJp2e19evjkk0/yxS9+kbvvvptx48bx1re+dZffJ+5kefAxY8b03S8tLXWK4HDJTDNgSeqT1tgEo3t8soM1VL1z3O1gSUrReeedxzXXXMP111/POeecw4YNG5g8eTLl5eX86U9/4umnn97p64877jiuvvpqAB5++GEefPBBAFpaWqipqaG+vp7nnnuO3/zmN32vqauro7W1dbvf6xe/+AWbN29m06ZN/PznP+elL31pDn9b7VKm0YAlKS+M5vHJDtZQtTZDRR1UZtKuRNIotmDBAlpbW2lsbGTatGmcf/75nHHGGSxatIiFCxey//777/T173rXu7jwwgs56KCDWLhwIUcccQQABx98MIcccggLFixg9uzZHHPMMX2vufjiizn99NOZNm0af/rTn/qOH3roobz1rW/t+x4XXXQRhxxyiNMBR1KmAZ78a9pVSNKoHp/CzlpmaVm0aFHc1Tr3qbv2TbDmUXjv3WlXIiklS5cuZd68eWmXUVS2956GEO6JMS5KqaQ+BTE23f5/cOun4RMrYUxt2tVISoFj0/DYnfHJKYJD1drs9EBJUn6pc7NhSUqbAWuoWppd4EKSlF/cC0uSUmfAGoqeHti4yg6WJCm/9AUsO1iSlBYD1lBsWgM9XXawJEn5xQ6WJKXOgDUUrdklcO1gSZLySXkVVI1zqXZJSpEBayj6Nhk2YEmS8ox7YUlSqgxYQ9G3ybBTBCWlZ/369XzjG9/Y7de94hWvYP369Ts951Of+hS33nrrECtTqjINW2daSNIIc2wyYA1NazOEUqidnHYlkkaxHQ1i3d3dO33dzTffzNixY3d6zmc/+1lOPvnkPSlPaambZgdLUmocmwxYQ9PSDHVToaQ07UokjWIf//jHeeKJJ1i4cCGHH344J554Im984xs58MADAXj1q1/NYYcdxoIFC7jiiiv6Xjdz5kzWrl3LU089xbx583j729/OggULOPXUU2lrawPgrW99K9dff33f+ZdccgmHHnooBx54II8++igAa9as4ZRTTuHQQw/lHe94B3vvvTdr164d4XdBL5JpTBZj6tqSdiWSRiHHJigb0Z9WLFqbXOBC0rZ+83FY9VBuv+fUA+H0z+/w6c9//vM8/PDD3H///fz5z3/mla98JQ8//DCzZs0C4Hvf+x7jx4+nra2Nww8/nNe+9rVMmDBhm+/x+OOP85Of/IRvf/vbnHvuudxwww1ccMEFL/pZEydO5N577+Ub3/gGX/ziF/nOd77DZz7zGV72spfxiU98gt/+9rfbDJRKUabfZsPjZqZaiqSUOTalMjbZwRqKlmYXuJCUd4444oi+AQzgK1/5CgcffDBHHXUUzz77LI8//viLXjNr1iwWLlwIwGGHHcZTTz213e/9mte85kXn3H777Zx33nkAnHbaaYwbNy53v4yGzr2wJOWR0Tg22cEaitZmmH1C2lVIyic7+TRvpNTU1PTd//Of/8ytt97KHXfcQXV1NSeccALt7e0ves2YMWP67peWlvZNw9jReaWlpXR1dQEQY8xl+coV98KS1MuxKRV2sHbXlo2wpcUOlqTU1dXV0draut3nNmzYwLhx46iurubRRx/lzjvvzPnPP/bYY7nuuusA+P3vf88LL7yQ85+hIegLWC50IWnkOTbZwdp9rdkpFy7RLillEyZM4JhjjuGAAw6gqqqKKVOm9D132mmncfnll3PQQQcxd+5cjjrqqJz//EsuuYQ3vOENXHvttRx//PFMmzaNurq6nP8c7aYxGaio3TpeSdIIcmyCkA9ttIEWLVoUFy9enHYZ27f8L3DlmfCWX8Ks49KuRlKKli5dyrx589IuIzVbtmyhtLSUsrIy7rjjDt71rndx//3379H33N57GkK4J8a4aI++cQ7k9dg00NcOh8nz4Nwr065E0ghzbMr92AS7Nz7ZwdpddrAkCYBnnnmGc889l56eHioqKvj2t7+ddknq5V5YkkapfBibDFi7q/eiYa/BkjTK7bvvvtx3331pl6HtyTTCk39JuwpJGnH5MDa5yMXuammGynqoqNn1uZIkpSHTAK2roKc77UokadQxYO2u1manB0rqk4/XsRYq38scykyD2A0bV6ddiaQU+Pdpbu3u+2nA2l0tTU4PlARAZWUl69atcyDLgRgj69ato7KyMu1SikOmMbn1Oixp1HFsyq2hjE9eg7W7Wpth8vy0q5CUB6ZPn86KFStYs2ZN2qUUhcrKSqZPn552GcVhm82GD0u1FEkjy7Ep93Z3fDJg7Y7uLtj4nB0sSQCUl5cza9astMuQXqy3g+VeWNKo49iUPqcI7o5NqyH2JMvfSpKUr6onQGnF1pVvJUkjxoC1O1qynwRmXORCkpTHQnAvLElKiQFrd7RmByo7WJKkfJdp3PrBoCRpxBiwdkfvJ4F2sCRJ+S7T4BRBSUqBAWt3tDRBSTlUT0y7EkmSdi6TnSLoUs2SNKIMWLujtTmZHlji2yZJynOZRujeApufT7sSSRpVTAq7w02GJUmFonc6e6sLXUjSSDJg7Y7eDpYkSfmurnezYQOWJI0kA9ZgxZisxuQCF5KkQtA7XrnQhSSNKAPWYG1pgc5NdrAkSYWhdgqEEjtYkjTCDFiD5SbDkqRCUloGtVPdC0uSRpgBa7DcZFiSVGgy05wiKEkjzIA1WH0dLAOWJKlAZBqcIihJI8yANVgtdrAkSQUm02jAkqQRZsAarNYmqBoP5VVpVyJJ0uBkGqCjFdpb0q5EkkYNA9ZguUS7JKnQ9O6F1epCF5I0UgxYg9Xa5PRASVJhcS8sSRpxBqzBaml2gQtJUmHpC1h2sCRppBiwBqO7Ezat2TrVQpKkQtA788KFLiRpxBiwBqN1FRDtYEmSCkt5JVRPcIqgJI0gA9Zg9F4cbAdLklRo3AtLkkaUAWswegcmO1iSpEKTaUwWapIkjQgD1mD0bTJsB0uSVGDqptnBkqQRZMAajNYmKB0D1ePTrkSSpN2TaYTN66CzPe1KJGlUMGANRu8S7SGkXYkkSbund6l2pwlK0ogwYA1Ga7PTAyVJhcm9sCRpRBmwBqOlyQUuJEmFqS9g2cGSpJFgwNqVGLMdLAOWJKkA9QUs98KSpJFgwNqVthegq33rACVJUiEZUwdjMlv3dJQkDSsD1q70bTJsB0uSVKAyDXawJGmEGLB2pfeiYDtYkqRC5V5YkjRiDFi70rusrR0sSVKhyjQasCRphBiwdqXFgCVJKnCZBtj4HHR3pV2JJBU9A9autDRBzSQoq0i7EkmShiYzDWJPErIkScPKgLUrLtEuSSp0mcbk1mmCkjTsDFi70tLsAheSpMLmXliSNGIMWLvS2mQHS5JU2Ho7WO6FJUnDzoC1M11bYPM6O1iSpMJWNQ5Kx9jBkqQRYMDaGTcZliQVgxCymw17DZYkDTcD1s70bTJswJKkQhJCOC2E8FgIYVkI4eM7Oe/wEEJ3COGckawvFZnGreOaJGnYDCpg7WqgCiHUhxB+GUJ4IISwJIRw4WBfm9f6Nhl2iqAkFYoQQinwdeB0YD7whhDC/B2c97/A70a2wpRkGpwiKEkjYJcBa5AD1XuAR2KMBwMnAF8KIVQMdpDLW71TKexgSVIhOQJYFmNcHmPsAK4BztrOee8DbgBWj2RxqclMS6a+9/SkXYkkFbXBdLAGM1BFoC6EEIBa4Hmga5CvzV8tzVBWBZVj065EkjR4jcCz/R6vyB7rE0JoBM4GLt/ZNwohXBxCWBxCWLxmzZqcFzqiMo3Q3ZEs3iRJGjaDCVi7HKiArwHzgCbgIeADMcaeQb4WyNNBrLUpmVIRQtqVSJIGb3t/accBjy8DPhZj7N7ZN4oxXhFjXBRjXDRp0qRc1ZeO3hVxW13oQpKG02AC1mAGqpcD9wMNwELgayGEzCBfmxzMx0HMTYYlqRCtAGb0ezyd5APA/hYB14QQngLOAb4RQnj1iFSXlt7riV1JUJKG1WAC1mAGqguBn8XEMuBJYP9BvjZ/ucmwJBWiu4F9QwizQggVwHnATf1PiDHOijHOjDHOBK4H3h1j/MWIVzqSej8wdKELSRpWgwlYuxyogGeAkwBCCFOAucDyQb42P8UIratc4EKSCkyMsQt4L8nqgEuB62KMS0II7wwhvDPd6lJUOxlCqR0sSRpmZbs6IcbYFULoHahKge/1DlTZ5y8H/hP4QQjhIZJpgR+LMa4F2N5rh+dXybHN65KLgV2iXZIKTozxZuDmAce2u6BFjPGtI1FT6kpKk1kZ7oUlScNqlwELdj1QxRibgFMH+9qC4BLtkqRik5nmFEFJGmaD2mh4VGrNfsJnB0uSVCwyDU4RlKRhZsDakd5P+OxgSZKKRaYxCVhxuwv6SpJywIC1Iy3NQIDaKWlXIklSbmQaoHMTbGlJuxJJKloGrB1pbUrCVWl52pVIkpQbvVuPOE1QkoaNAWtHWpqdHihJKi6ZxuTWhS4kadgYsHaktdkFLiRJxaVvs2GXapek4WLA2pGWJjtYkqTi4hRBSRp2Bqzt6WyD9vVbByJJkopBWQXUTHKKoCQNIwPW9vRtMuwUQUlSkXEvLEkaVgas7enbZNgOliSpyGQat45zkqScM2BtT+/Fv3awJEnFpm6aUwQlaRgZsLand+CxgyVJKjaZBmh7ATo2p12JJBUlA9b2tDZDRS1UZtKuRJKk3OrdC8tpgpI0LAxY29PS5PRASVJx6tsLy4UuJGk4GLC2p7XZ6YGSpOJkwJKkYWXA2p6WZjtYkqTi1LfZsAtdSNJwMGAN1NMDG1fZwZIkFacxtVBZ7zVYkjRMDFgDbVoDPV12sCRJxSvT6BRBSRomBqyBWrMDjh0sSVKxci8sSRo2BqyB+jYZNmBJkopUpsEOliQNEwPWQH2bDDtFUJJUpDKNsHE1dHemXYkkFR0D1kCtzRBKoXZy2pVIkjQ8MtOACK2r0q5EkoqOAWuglmaomwolpWlXIknS8Mg0JrdOE5SknDNgDdTa5AIXkqTi1rfZsAtdSFKuGbAGaml2gQtJUnHrDVjuhSVJOWfAGqi12QUuJEnFrXIslFU5RVCShoEBq78tG2FLix0sSVJxCyG7VLtTBCUp1wxY/fVOlbCDJUkqdpmGrXs/SpJyxoDVX+9UCTtYkqRil2l0iqAkDQMDVn92sCRJo0VmWrJybk9P2pVIUlExYPXXOxfdDpYkqdhlGqGnCzatSbsSSSoqBqz+WpphTD1U1KRdiSRJw6tvqXanCUpSLhmw+mtt3jrgSJJUzOqyszW8DkuScsqA1V9Lk9MDJUmjQ6YxuTVgSVJOGbD6c5NhSdJoUTMJSsrcC0uScsyA1au7CzY+ZwdLkjQ6lJQkHyq6F5Yk5ZQBq9em1RB7ts5JlySp2GWm2cGSpBwzYPXq/QTPRS4kSaNFpsFrsCQpxwxYvXqXqbWDJUkaLTKNScCKMe1KJKloGLB69X6CZwdLkjRaZBqgqw3a16ddiSQVDQNWr5YmKCmH6olpVyJJ0shwLyxJyjkDVq/W5mSgKfEtkSSNEu6FJUk5Z5ro5SbDkqTRpndavAFLknLGgNWrt4MlSdJoUTcVCAYsScohAxYkqye1NLvAhSRpdCkth9rJ7oUlSTlkwALY0gKdm+xgSZJGH/fCkqScMmCBmwxLkkavTGMyTV6SlBMGLHCTYUnS6FU3zSmCkpRDBizo18EyYEmSRplMA7RvgC0b065EkoqCAQu2zj23gyVJGm1698JymqAk5YQBC5IpglXjoLwq7UokSRpZ7oUlSTllwILsEu2NaVchSdLIM2BJUk4ZsCDpYDk9UJI0GvWOfy50IUk5YcCCbAfLgCVJGoUqqpNp8l6DJUk5YcDq7oRNa6DOPbAkSaNUptEpgpKUIwas1lVAtIMlSRq93AtLknLGgNU7JcIOliRptMo02MGSpBwxYPUOKHawJEmjVaYxmS7f1ZF2JZJU8AxYfZsM28GSJI1SvR8yutCFJO0xA1ZrE5SOgerxaVciSVI63AtLknLGgNW7RHsIaVciSVI6Mo3JrQtdSNIeM2C1Njs9UJI0uvV2sJwiKEl7zIDV0uQCF5Kk0W1MBsprnCIoSTkwugNWjNkOlgFLkjSKhZBdqt0pgpK0p0Z3wGp7Abrat06NkCRptKpvhFUPu1S7JO2h0R2w+jYZtoMlSRrlFr0Nnn8CfveJtCuRpII2ugNWSzZg2cGSJI1288+El7wP7v4O3P+TtKuRpII1ugNWa+8mw3awJEnipE/DzJfCrz4IzQ+mXY0kFaTRHbBaDFiSJPUpLYNzvg9V4+HaC2Dz82lXJEkFx4BVPRHKKtKuRJKk/FA7Cc69Mhkjf3Yx9PSkXZEkFZTRHbBam73+SpKkgWYcDqf/Lyy7Bf7y+bSrkaSCMqiAFUI4LYTwWAhhWQjh49t5/v8LIdyf/Xo4hNAdQhiffe6pEMJD2ecW5/oX2CMtBixJkrZr0b/AwvPhL/8Lj/027WokqWDsMmCFEEqBrwOnA/OBN4QQ5vc/J8b4hRjjwhjjQuATwF9ijP0nbp+YfX5R7krPgdYmr7+SJGl7QoBXfgmmHpRMFVz3RNoVSVJBGEwH6whgWYxxeYyxA7gGOGsn578ByP/1Xbu2wOZ1drAkSdqR8ip4/VVJ2LruzdCxOe2KJCnvDSZgNQLP9nu8InvsRUII1cBpwA39Dkfg9yGEe0IIFw+10Jxzk2FJknZt3Ew457vw3BL45QcgxrQrkqS8NpiAFbZzbEd/u54B/G3A9MBjYoyHkkwxfE8I4bjt/pAQLg4hLA4hLF6zZs0gytpDfZsMG7AkSdqpOSfDif8OD10Hd12RdjWSlNcGE7BWADP6PZ4ONO3g3PMYMD0wxtiUvV0N/JxkyuGLxBiviDEuijEumjRp0iDK2kN9mww7RVCSpF166Udgv9Phd/8Gz9yZdjWSlLcGE7DuBvYNIcwKIVSQhKibBp4UQqgHjgdu7HesJoRQ13sfOBV4OBeF77HeTYbtYEmSRsj6zR1plzB0JSVw9uUwdi+47i3Q+lzaFUlSXtplwIoxdgHvBX4HLAWuizEuCSG8M4Twzn6nng38Psa4qd+xKcDtIYQHgLuAX8cY82Ot15ZmKKuCyrFpVyJJGgVWrm/j5Etv4+t/WkYs1OuYqsbC638EW1rgp2+F7s60K5KkvFM2mJNijDcDNw84dvmAxz8AfjDg2HLg4D2qcLi0NiUrCIbtXWImSVJuTa4bw7FzJvCF3z3GhrZOPnH6/oRCHIOmLIAzvwo3vA1+/0k43Y2IJam/QQWsouQmw5KkEVReWsKl5y4kU1XOFbctZ8PmTv77NQdSWlKAIevAc2DFYvjHN2H6ouSxJAkYzQGrtQlmHJV2FZKkUaSkJPCZMxcwtqqcr/xxGS3tnVx23kLGlJWmXdruO/U/ofl+uOl9MHle0tmSJA1qkYviEyO0rnKBC0nSiAsh8OFT5/Ifr5zHbx5exUU/XMymLV1pl7X7SsvhdT+AMXVw7QXQtj7tiiQpL4zOgLV5HXR3uES7JCk1F710Nv/vnIP427K1XPDdfxTmCoN1U+HcK2H9M/Dzd0JPT9oVSVLqRmfAcol2SVIeOHfRDL5x/mEsWdnC6791J6tb2tMuafftdRS8/L/hn7+B27+UdjWSlLrRGbBam5NbO1iSpJSddsBUvn/h4Tz7wmbOufwOnlm3Oe2Sdt8RF8OB58IfPwfLbk27GklK1egMWHawJEl55Jg5E7n6oiPZ0NbJOZf/ncdWtaZd0u4JAc64DCbPhxsugheeTrsiSUrNKA5YAWqnpF2JJEkAHLLXOK57x9EAnPutO7jvmRdSrmg3VdTA669KrsO69gLobEu7IklKxegMWK1NUDs5WQFJkqQ8MXdqHTe86yXUV5Vz/nf+we2Pr027pN0zYR94zRWw6kH49UeSVXslaZQZnQHLTYYlSXlqxvhqrn/n0ew1vpp/+cHd/Pbh5rRL2j1zT4PjPwb3Xw33fD/taiRpxI3OgNXa7AIXklTEQginhRAeCyEsCyF8fDvPnx9CeDD79fcQwsFp1LkjkzOVXHPxUSxozPDuq+/lusXPpl3S7jn+YzDnZLj5o7BicdrVSNKIGp0Bq6XJBS4kqUiFEEqBrwOnA/OBN4QQ5g847Ung+BjjQcB/AleMbJW7Nra6gqsvOpJj5kzko9c/yHf+ujztkgavpBRe8+1ktsi1b4KNa9KuSJJGzOgLWJ1t0L4e6gxYklSkjgCWxRiXxxg7gGuAs/qfEGP8e4yxdxWJO4HpI1zjoFRXlPGdtyziFQdO5b9+vZQv/f4xYqFc11Q9Pln0ou15uP5C6O5KuyJJGhGjL2D1LdHuFEFJKlKNQP85dSuyx3bkbcBvtvdECOHiEMLiEMLiNWvS6cKMKSvlq284lNcvmsFX/7iMS25aQk9PgYSsaQfDqy6Dp/4Kf/hM2tVI0ogoS7uAEde3ybAdLEkqUmE7x7abSEIIJ5IErGO393yM8Qqy0wcXLVqUWqopLQl8/rUHUl9dzhW3LWdDWydffN3BlJcWwOekC98AKxfD378CjYfBglenXZEkDavRF7BasgHLDpYkFasVwIx+j6cDTQNPCiEcBHwHOD3GuG6EahuyEAKfOH1/6qvK+cLvHmNjexdfP/9QKstL0y5t117+P9D8ANz4Hpg8DybNTbsiSRo2BfDRV461rExu7WBJUrG6G9g3hDArhFABnAfc1P+EEMJewM+AN8UY/5lCjUMSQuA9J87hv159AH98bDVv+d5dtLZ3pl3WrpVVwLlXQnkVXHM+tLekXZEkDZvRF7Bam6GiFiozaVciSRoGMcYu4L3A74ClwHUxxiUhhHeGEN6ZPe1TwATgGyGE+0MIBbWW+AVH7c2XzzuEe55+gTd8+07WbdySdkm7lmmA1/0Anl8ON77bTYglFa3RF7BampweKElFLsZ4c4xxvxjjPjHGz2WPXR5jvDx7/6IY47gY48Ls16J0K959Zx7cwLffvIjHn9vI6751B03r29IuaddmHgunfBaW/hL+9uW0q5GkYTH6AlZrs9MDJUlF4cT9J3PV245kTcsWzvnm31m+ZmPaJe3a0e+BBWcnqwou/3Pa1UhSzo2+gNXSbAdLklQ0jpg1np9cfBRbunp43eV38PDKDWmXtHMhwJlfg4n7wfX/Auuf3fVrJKmAjK6A1dMDG1fZwZIkFZUDGuv56TuPZkxZCW+44k7uevL5tEvauTG18PofQVcHXPdm6CqAa8gkaZBGV8DatAZ6uuxgSZKKzuxJtVz/rpcwKTOGN333H/zp0dVpl7RzE/eFsy+HpnvhNx9NuxpJypnRFbBas9ug2MGSJBWhhrFV/PQdR7PvlFrefuVibrx/Zdol7dy8V8GxH4Z7fgD3XpV2NZKUE6MrYPVtMmzAkiQVpwm1Y/jJ24/i0L3H8cFr7+eqO59Ou6Sde9l/wOwT4NcfgZX3pl2NJO2x0RWw+jpYThGUJBWvuspyrvyXI3jZ3Ml88hcP8/U/LSPm675TJaXw2u9B7eTkeqxN69KuSJL2yOgKWC1NEEqTv8QlSSpileWlXP6mw3j1wga+8LvH+J/fPJq/IatmApx7JWxcDTe8DXq6065IkoZslAWsZqidknxaJklSkSsvLeHScxfy5qP35orblvPxGx6iuydPQ1bjofDKL8LyP8GfPpd2NZI0ZGVpFzCiWptcQVCSNKqUlAQ+c+YCxlaV85U/LqOlvZPLzlvImLI8/LDx0DfDirvhr1+CxsNg/1emXZEk7bbR18FygQtJ0igTQuDDp87lP145j988vIqLfriYTVu60i5r+07/AjQcAj9/J6xdlnY1krTbRlfAam12gQtJ0qh10Utn8//OOYi/LVvLBd/9B+s3d6Rd0ouVV8K5V0FpOVx7AWzZmHZFkrRbRk/A2rIRtrTYwZIkjWrnLprBN84/jCUrW3j9t+5kdUt72iW92NgZcM73YO1jcNP7IF8X55Ck7Rg9Aas1uweWHSxJ0ih32gFT+f6Fh/PsC5s55/I7eGbd5rRLerHZJ8BJn4IlP4M7v5F2NZI0aKMnYLVk98CygyVJEsfMmcjVFx3JhrZOzrn87zy2qjXtkl7smA/C/q+C338Snro97WokaVBGT8CygyVJ0jYO2Wsc173jaADO/dYd3PP0CylXNEAI8OpvwvjZcN1b4NFfO11QUt4bPQGrZWVyawdLkqQ+c6fWccO7XkJ9VTmvu/zvfPqmJWxo60y7rK0qM3Dej6F6PFzzRvjhGdB0X9pVSdIOjaKA1Qxj6qGiJu1KJEnKKzPGV/PL9x7LBUftzZV3PMXLvvhnrrv7WXryZVPiSfvBu+6AV34JVi+FK06An10MG1akXZkkvcjoCVitzW4yLEnSDtRXl/PZsw7gl+87llkTa/joDQ9y9jf/zgPPrk+7tERpGRx+Ebz/Pjj2w/DIjfDVw+APn4X2lrSrk6Q+oydgtTQ5PVCSpF1Y0FDPT995NP/3+oNpWt/Gq7/xNz7xswd5flOe7JlVmYGTL4H3Lob5Z8FfvwRfPRTu/i505+nmyZJGldETsNxkWJKkQQkhcPYh0/njR47nomNn8dPFKzjxi3/mqjueojtfpg2OnQGvuQLe/ieYuB/8+sPwzZfAP3/nQhiSUjU6AlZ3F2x8zg6WJEm7oa6ynH9/5Xx+84GXckBjhk/euIQzvno7dz/1fNqlbdV4KLz118lCGLEbfnwuXHkWND+YdmWSRqnREbA2rYbYA3UGLEmSdte+U+r40duO5BvnH8r6zR287vI7+NC197O6pT3t0hIhwP6vhHffCad/AVY9BN86Dn7x7q37YErSCBkdAasluweWi1xIkjQkIQReceA0bv3I8bz3xDn8+sFmXvalv/Dt25bT2d2TdnmJ0nI48uJkIYxj3g8P/RS+cij88XOwZWPa1UkaJUZHwGrNfnplB0uSpD1SXVHGv758Lr//0HEcMWs8n7t5Kad/+a/8bdnatEvbqmosnPLZZCGM/V8Bt/0/+MohcM8PoKc77eokFbnREbDsYEmSlFMzJ9bwvbceznffsoiOrh7O/84/ePfV97ByfVvapW01bm8453tw0R9g/Gz45Qfg8mNh2a1pVyapiI2SgLUSSsqhemLalUiSVFROmjeF33/oOD5yyn788dHVnPSlP/O1Pz5Oe2cedYqmL4J/+S2cexV0tsGPXgtXnQ3PLUm7MklFaHQErNZmqJsKJaPj15UkaSRVlpfyvpP25dYPH8+Jcyfzxd//k5dfdht/fPS5tEvbKgSYfya85y54+f/AynuTbtZN74PWVWlXJ6mIjI7E0dLk9EBJkobZ9HHVfPOCw/jR246krCTwLz9YzNt+cDdPr9uUdmlblVXA0e+GD9wPR70b7v9JshDGnz8PHXlUp6SCNToCVmuzC1xIkjRCjt13Ir/5wHH8+yvmcefydZxy6W186feP0daRR9MGq8bByz8H770L9j0F/vw/8NXD4L4fuRCGpD1S/AErxmSRCztYkiSNmIqyEt5+3Gz++K8n8MqDpvHVPy7j5Ev/wm8eaibGmHZ5W42fDef+EP7l91A/HW58D3zreHjiT2lXJqlAFX/A2tICnZvsYEmSlIIpmUr+7/ULue4dR1NXWca7rr6XN333Lpatbk27tG3tdSS87RY45/vJvx2uejX86BxYvTTtyiQVmOIPWC7RLklS6o6YNZ5fve9YPnvWAh5csZ7TLvsrn/v1I7S2d6Zd2lYhwAGvgffeDaf+F6y4C775EvjlB2Hj6rSrk1Qgij9gucmwJEl5oay0hDcfPZM//esJnHPYdL5z+5Oc9KW/8Iv7VubXtMGyMfCS98H774cj3gH3XZVsVHzbF6Bjc9rVScpzZWkXMOz6OlgGLEmS8sGE2jF8/rUHcd4Re3HJjQ/zwWvv5+p/PM2nz1zAgob6tMvbqno8nP55OOLtcOsl8Mf/gsXfh5d9Eg56vdu/7IYYI5s6ulnTuqXfVzsb2rqYUFvBtPpKpmQqmVZfyfiaCkIIaZcsDdkoCFh2sCRJykcLZ4zl5+8+hp/e8yz/+9vHOOOrt3PBUXvzkVPmUl9dnnZ5W03YB17/I3j67/C7f4dfvBPu/EayCuGs49KuLlVburpZu7FjQHDawpqN7axp3bLNc22D3Hy6oqyEqZnK5Ks+CV1T6/s/rmJS3RhKSwxhyk/FH7Bam5KlWMur0q5EkiQNUFISeP3he3HagmlcestjXHXn0/zqwWY++vK5nLtoBiX59I/ovV8CF/0BlvwMbv0M/PAM2O90OOWzMGm/tKvLme6eyPObOrIBqTcwDQxQye2Gtu1fQzeuupxJdWOYVDeGQ/ca23d/Ut0YJtVWMrGugkm1Y8hUlfP8pg6aN7SzakNb9radVS3tNG9o5/5n1/Pbh9vp6O7Z5vuXlgQm143p63r1BrHkcRXT6iuZnBnDmLLSkXjLpG2EvJrznLVo0aK4ePHi3HyzH58HG56Fd/0tN99PkjSiQgj3xBgXpV1HTscm7dAjTS18+qYl3PXU8xw8vZ7PnHUAC2eMHZGfHWOko7uHto5u2jq72dzR3Xe/rSN53J493tG+mX2f+hGLnvke5d3trKyZx7rqWTxfPZv1NbPZULsP7VXTKC8robQkUFZaQnnvbWlIjpUk93ufK+33fO9zpSWB8tISyrZ3LPuawUynizHSuqVrO52mFz9et3ELPdv552FNRemAoDSGibVjtj1WN4YJNWOoKMvd9MkYIy9s7qR5QxurNrRvE8KSx8nxTdvZZ21CTcU2XbBp9VXbhLKpmUpqxhR/v0HDY0fjU/H/H9Xa5PRASZIKxPyGDNe+4yhueqCJz/16Ka/++t94/aIZfPS0uYyvqaC9sycbfrq2DULZENTW0c3mzm7aO/of79r2nM5tw1L/493bSxY7dDSTSg7gHeW/4aCNjzN7420sDL/se3ZjrGRZbOTxnkYej408HqfzeGxkZZxIzOE6Y32hqyQbxHoDW2lybEtXD2s3bmFLV892X9sbkqbVV3LQ9PptAlTv/Ym1Y1ILIiEExtdUML6mYqfX6LW2d74ogPV2xla80Mbip19g/eYXd9zqKsuygauKaZlKptRv2xWbVl9FprLM68LyVO/1fS1tnbS2d9HS3rmT+8ntUbMn8J4T5wxbTcUfsFqaYdrBaVchSZIGKYTAWQsbOWneFL7yh8f53u1P8tN7nt1uV2VXKspKqCovpbqilKryUqqyt3WVZUyuG5Mcryjbek6/86orSqnMHt96v2yb75N0as7b+gM3rSOueZSe1UupXP0YB6x5lIPWPkbJptv6Tukpq6Jj3L60j51DW/2+bKrfh411c9hUPZ3OGOjqjnT19NDVE+nqjnR2997vd6ynJzmv91hP9rze13ZvPVZRWvKizlPv/fqq8qIJDnWV5dRVlrPvlLodntPe2b01hLUkUxKf63vcztLmFtZu3MLACV41FaVMra+kYWxVX+iaVl/JtLFVNGTDWF1lHl03WEC6unvYuKWrL/z0BqHW9k5a2rtoaUuOtQ683++8Xf3dUFleQl1lOZnKMjJV5fQM5S+T3VDcAau7EzatgTr3wJIkqdDUjinj314xj3MXTedn966krCRQVVH2orBUXVFKZcWLQ1RVeSllpSO80l/NBELNMZTOPGbb420vwJrHYM2jlKx5jMo1j1L53D8Y+/jPtp5TVgkT94VJ+8Okucltw/4wbhaUFvc/2UZKZXkpMyfWMHNizQ7P6ezuYXXrFprXb70mrGlDG83rk+mIj61qZc12QljdmDKmje0XvuqrmDa2kob6qmw4q6S6ovj+O3Z292SDTxKANrQNDEkvDkz9u0vbm9o5UN2YMuqy4ShTWc60+kr2m1LXF5jqKsvIVJZv935dZdmIX4tXfP+V+2tdBUSXaJckqYDNmVzHR0/bP+0y9kzVONjrqOSrv/YNsOafsObR7Ndj8Mw/4KGfbj2ntAIm7Ls1dPXejp8NZRUj+3uMAuWlJTSOraJx7I4XSOvo6uG57BTE5uziHM3r22jKBrIlTRtYu7HjRa+rryrPhq+t3a/+3bBp9ZVUlo9sGOjpSa7P6+0ObWjbOpWupa1zh+Gp9/7mXQSk0pLwoiA0a2LNNoFp6/2ypNNUlQ1JleXUVpYV3IqRRR6wsntg2cGSJEn5qLIeZhyefPW3ZSOsfayv68Wax6DpXljycyDbOikpg/H7wOT9tw1eE+YkmyVr2FSUlTBjfDUzxlfv8Jz2zu5tQljT+q2LcjStT1ZIfGE714SNqy5nWn0VDdluWG/3a1p9FQ31VUyp33Z1xBgjbZ3d24SiFwWh7YSn3uOtW7pe1I3rL4Skg1RfXd4XemZNrNkagqrKqa/aGorqq5KpmvXZQFVdUVo001AHq7gDVu8eWHawJElSIRlTC42HJV/9dWyGtf/cNnitehiW/hJidhGLUArjZ2VD1/4wZT5MPxzqZyT/WtaIqCwvZe8JNew9YcfTEds7uwd0v5Lb5vXJwhx3P/XCdpfCn1hbQe2Ysr6pdp3dO7+mqLqiNAlB2e7QtPpK5k6p6+saZarK+7pJ24Sl6nJqK8rya7uEAlDcAcsOliRJKiYV1dCwMPnqr7MN1i3rF7yy4eux30DMTuGqnQrTF8GMI5LANW1h8v2UmsryUmZNrGHWTq4J27Sla8BUxOT+po7uvnDUPzxtvb+1i1Q+0tcijnLFHbBaVkLpGKgen3YlkiRJw6e8CqYemHz117UFVj8Cz94NK7Jfj/4qea6kDKYckISt6dlpiuNm2eXKMzVjypgzuZY5k2vTLkWDVOQBqxnqpvoXhSRJGp3KxkDDIcnXkRcnxzaugZWL4dm7ksB1/4/h7m8nz1VPzAauRclt46EwZsfLnkt6seIOWK3NkGlMuwpJkqT8UTsJ5p6efAH0dCddrhV3w4ps8Prnb5LnQglMnp8NXNmphRPmQIlTzqQdKe6A1dKUfPIiSZKk7Ssp3Tq9cNG/JMc2Pw8r74UV2S7Xwz+He36QPFc5dmuHa/rhyUIcVWNTKl7KP8UbsGJMOlh1riAoSZK0W6rHw74nJ18APT3J6oUr7s6GrsXw58/Tt2T8xLnJNVzTD086XZPmJsFNGoWKN2C1vQBd7ZBxBUFJkqQ9UlKS7Lc1eX849E3JsfYWWHlPErZW3A2P3gz3/Sh5rqIumUXUu2Jh4yKomZBe/dIIKt6A1bdEux0sSZKknKvMwD4nJl+QzB56fvnWxTNW3A1/vXTrMvHj99m6WuH0w2HyAigt3n+KavQq3v+rW7IByw6WJEnS8AsBJuyTfC18Q3KsYxM03ZeErWfvhif+AA9ekzxXXp1c91U5NllmvverrPd+ZXLONscGntP7OHtu2RhXj1bqBhWwQginAV8GSoHvxBg/P+D5/w84v9/3nAdMijE+v6vXDpvWpuTWDpYkSVI6Kmpg5rHJFyRdrvXPbO1wrXoINq6CzvZks+TOzcklHp2bIfYM4QeGHQe13hC2TXAbcGzg49JyKCnP3pZt+3hnzxnyRrVdBqwQQinwdeAUYAVwdwjhphjjI73nxBi/AHwhe/4ZwIey4WqXrx02LQYsSZKkvBICjNs7+TrwnB2fFyN0d24buHpDWFfb1jDW2b6dc3ofb+ectue3/31y/nuW9gtcZTsIYv2P7+Z5pRUwJgOT9ofJ86B+uqEujwymg3UEsCzGuBwghHANcBawo5D0BuAnQ3xt7rQ0JZvllVUM+4+SJElSDoWQ/BtuJP4dFyN0bRkQzLJf3R3Q05mEve7Orfd7uvo97up3fODj3TivY/Pufb/+Hb6KuuwiJPNg0rzkdvI8qJ1i8ErBYAJWI/Bsv8crgCO3d2IIoRo4DXjvEF57MXAxwF577TWIsnahtdnrryRJkrRzIWSnBFamXcnuaXsBVj+abBK95lFYvRQe/TXce+XWc6rGbRu4egOYKzoOq8EErO3F3riDc88A/hZjfH53XxtjvAK4AmDRokU7+v6D19IM9Y17/G0kSZKkvFM1DvY+Ovnqb+OafqHrkSSEPXQ9bNmw9ZyayS8OXZP3h8r6kf0ditRgAtYKYEa/x9OBph2cex5bpwfu7mtzq7Up2WVckiRJGi1qJ0Ht8TD7+K3HYkwun1mzNOl09Xa+7r0KOjdtPS/TmA1c+8Pk+dn7c5PFSjRogwlYdwP7hhBmAStJQtQbB54UQqgHjgcu2N3X5lzXFti8zimCkiRJUgjJzK76Rphz8tbjPT2w4ZmtgWv10iSEPflX6N7S++JkUZKBUw0n7Ft40ypHyC4DVoyxK4TwXuB3JEutfy/GuCSE8M7s85dnTz0b+H2McdOuXpvrX+JF3GRYkiRJ2rmSEhg3M/mae9rW491d8MJTA6YaLoVltyQLbQCEkmTz6Mn9u13zkn3QSstT+GXyx6D2wYox3gzcPODY5QMe/wD4wWBeO+z6Nhk2YEmSJEm7pbQMJs5Jvjhz6/GuDli3rN9Uw6Xw3COw9Ff0LbNQUp6ErKpxyV5iFTVQUQsV2fvlNdljA762d7yssiBXQRxUwCo4fZsMO0VQkiRJyomyCpgyP/nqr7MN1v5za+hatwy2tED7emhZmSxB37EROjb1m3o4CKGkX/DqF9b6gtsuAto2x6uzQW/4g1txBiw7WJIkSdLIKK+CaQcnX7vS3ZUsrNGxaWvw6tycfbwxe2zTzo/vaXA74Bw457tD/nV3pTgD1vTD4fiPQeXYtCuRJEmS1Ku0DErrc78k/PaCW8embEjbuO3xifvl9mcPUJwBa68jky9JkiRJxW+4gtsQlKRdgCRJkiQVCwOWJEmSJOWIAUuSJEmScsSAJUmSJEk5YsCSJEmSpBwxYEmSJElSjhiwJEmSJClHDFiSJEmSlCMGLEmSJEnKEQOWJEmSJOWIAUuSJEmScsSAJUmSJEk5YsCSJEmSpBwxYEmSJElSjhiwJEmSJClHDFiSJEmSlCMGLEmSJEnKEQOWJEmSJOWIAUuSJEmScsSAJUmSJEk5YsCSJEmSpBwJMca0a3iREMIa4Ok9/DYTgbU5KGc08r0bOt+7ofF9G7rR8N7tHWOclHYRORqbYHT8NxsOvm9D53s3dL53Qzca3rvtjk95GbByIYSwOMa4KO06CpHv3dD53g2N79vQ+d4VHv+bDY3v29D53g2d793Qjeb3zimCkiRJkpQjBixJkiRJypFiDlhXpF1AAfO9Gzrfu6HxfRs637vC43+zofF9Gzrfu6HzvRu6UfveFe01WJIkSZI00oq5gyVJkiRJI8qAJUmSJEk5UpQBK4RwWgjhsRDCshDCx9Oup1CEEGaEEP4UQlgaQlgSQvhA2jUVkhBCaQjhvhDCr9KupZCEEMaGEK4PITya/X/v6LRrKhQhhA9l/6w+HEL4SQihMu2atGOOTUPj2LRnHJuGxrFp6BybijBghRBKga8DpwPzgTeEEOanW1XB6AI+EmOcBxwFvMf3brd8AFiadhEF6MvAb2OM+wMH43s4KCGERuD9wKIY4wFAKXBeulVpRxyb9ohj055xbBoax6YhcGxKFF3AAo4AlsUYl8cYO4BrgLNSrqkgxBibY4z3Zu+3kvxl0phuVYUhhDAdeCXwnbRrKSQhhAxwHPBdgBhjR4xxfapFFZYyoCqEUAZUA00p16Mdc2waIsemoXNsGhrHpj026semYgxYjcCz/R6vwL+Id1sIYSZwCPCPlEspFJcBHwV6Uq6j0MwG1gDfz05h+U4IoSbtogpBjHEl8EXgGaAZ2BBj/H26VWknHJtywLFpt12GY9NQODYNkWNTohgDVtjOMdei3w0hhFrgBuCDMcaWtOvJdyGEVwGrY4z3pF1LASoDDgW+GWM8BNgEeG3KIIQQxpF0QGYBDUBNCOGCdKvSTjg27SHHpt3j2LRHHJuGyLEpUYwBawUwo9/j6YzC1uRQhRDKSQawq2OMP0u7ngJxDHBmCOEpkmk/Lwsh/CjdkgrGCmBFjLH30+jrSQY17drJwJMxxjUxxk7gZ8BLUq5JO+bYtAccm4bEsWnoHJuGzrGJ4gxYdwP7hhBmhRAqSC6suynlmgpCCCGQzDdeGmO8NO16CkWM8RMxxukxxpkk/7/9McY46j6tGYoY4yrg2RDC3Oyhk4BHUiypkDwDHBVCqM7+2T0JL8LOZ45NQ+TYNDSOTUPn2LRHHJtIWqBFJcbYFUJ4L/A7kpVLvhdjXJJyWYXiGOBNwEMhhPuzx/4txnhzeiVpFHgfcHX2H53LgQtTrqcgxBj/EUK4HriXZJW1+4Ar0q1KO+LYtEccm5QGx6YhcGxKhBidAi5JkiRJuVCMUwQlSZIkKRUGLEmSJEnKEQOWJEmSJOWIAUuSJEmScsSAJUmSJEk5YsCSClgI4YQQwq/SrkOSpF6OTRrtDFiSJEmSlCMGLGkEhBAuCCHcFUK4P4TwrRBCaQhhYwjhSyGEe0MIfwghTMqeuzCEcGcI4cEQws9DCOOyx+eEEG4NITyQfc0+2W9fG0K4PoTwaAjh6uzO6ZIk7ZRjkzQ8DFjSMAshzANeDxwTY1wIdAPnAzXAvTHGQ4G/AJdkX3Il8LEY40HAQ/2OXw18PcZ4MPASoDl7/BDgg8B8YDZwzDD/SpKkAufYJA2fsrQLkEaBk4DDgLuzH+BVAauBHuDa7Dk/An4WQqgHxsYY/5I9/kPgpyGEOqAxxvhzgBhjO0D2+90VY1yRfXw/MBO4fdh/K0lSIXNskoaJAUsafgH4YYzxE9scDOGTA86Lu/geO7Kl3/1u/HMtSdo1xyZpmDhFUBp+fwDOCSFMBgghjA8h7E3y5++c7DlvBG6PMW4AXgghvDR7/E3AX2KMLcCKEMKrs99jTAiheiR/CUlSUXFskoaJnyZIwyzG+EgI4T+A34cQSoBO4D3AJmBBCOEeYAPJXHiAtwCXZwep5cCF2eNvAr4VQvhs9nu8bgR/DUlSEXFskoZPiHFnnV9JwyWEsDHGWJt2HZIk9XJskvacUwQlSZIkKUfsYEmSJElSjtjBkiRJkqQcMWBJkiRJUo4YsCRJkiQpRwxYkiRJkpQjBixJkiRJypH/H8l9MD+G7E85AAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 864x576 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "text": [
            "accuracy\n",
            "\tvalidation       \t (min:    0.932, max:    0.968, cur:    0.968)\n",
            "\ttraining         \t (min:    0.695, max:    0.982, cur:    0.981)\n",
            "Loss\n",
            "\tvalidation       \t (min:    0.100, max:    0.229, cur:    0.110)\n",
            "\ttraining         \t (min:    0.061, max:    0.984, cur:    0.061)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "guided-check",
        "outputId": "7ff965d4-b01f-4c99-c138-38ed2cc6f50f"
      },
      "source": [
        "evaluation = Malware_model.evaluate(X_test, y_test)"
      ],
      "id": "guided-check",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "1868/1868 [==============================] - 3s 1ms/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cordless-warrior",
        "outputId": "a66f8b7f-cf8c-48b7-dd21-b83247c9f80c"
      },
      "source": [
        "print('Final CNN accuracy: ', evaluation[1])"
      ],
      "id": "cordless-warrior",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Final CNN accuracy:  0.9678800702095032\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "stopped-conversation"
      },
      "source": [
        "# import pydot\n",
        "# SVG(model_to_dot(Malware_model).create(prog='dot', format='svg'))\n",
        "from keras.utils.vis_utils import plot_model"
      ],
      "id": "stopped-conversation",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "greater-nirvana",
        "outputId": "1838af4a-619a-4e05-ea9f-f8461ad4f55e"
      },
      "source": [
        "plot_model(Malware_model, to_file='model_plot1.png', show_shapes=True, show_layer_names=True, dpi=96)"
      ],
      "id": "greater-nirvana",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mineral-bruce"
      },
      "source": [
        ""
      ],
      "id": "mineral-bruce",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "informed-constitutional"
      },
      "source": [
        "# es_callback = keras.callbacks.EarlyStopping(monitor='val_loss', patience=3)\n",
        "# Malware_model.fit(X_train, y_train, \n",
        "#                   validation_data=(X_test, y_test), \n",
        "#                   epochs= n_epoches,\n",
        "#                   class_weight=class_weights,\n",
        "#                   callbacks=[es_callback, PlotLossesKeras()])"
      ],
      "id": "informed-constitutional",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "informational-serial",
        "outputId": "3ed470a1-7c07-4efc-88b5-5e90113a9b2e"
      },
      "source": [
        "plt.plot(history.history['accuracy'])\n",
        "plt.plot(history.history['val_accuracy'])\n",
        "plt.title('Model accuracy')\n",
        "plt.ylabel('accuracy')\n",
        "plt.xlabel('epoch')\n",
        "plt.legend(['training acc.', 'validation acc.'], loc='lower right')\n",
        "plt.show()\n",
        "plt.savefig('Model accuracy.png')"
      ],
      "id": "informational-serial",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "sunrise-attraction",
        "outputId": "60e2f905-a835-4905-a879-c0ab3f1e35e2"
      },
      "source": [
        "plt.plot(history.history['loss'])\n",
        "plt.plot(history.history['val_loss'])\n",
        "plt.title('model loss')\n",
        "plt.ylabel('loss')\n",
        "plt.xlabel('epoch')\n",
        "plt.legend(['training', 'validation'], loc='upper left')\n",
        "plt.show()"
      ],
      "id": "sunrise-attraction",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mature-intervention"
      },
      "source": [
        "# import sklearn\n",
        "# y_prediction = Malware_model.predict(X_test)\n",
        "# confusion_matrix = sklearn.metrics.confusion_matrix(y_test.argmax(axis=1), y_prediction.argmax(axis=1))\n",
        "# confusion_matrix"
      ],
      "id": "mature-intervention",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "breeding-oasis",
        "outputId": "d703af0f-de56-4e43-f58b-ea7957d171f3"
      },
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import sklearn\n",
        "from sklearn import metrics\n",
        "import seaborn as sns\n",
        "pd.DataFrame(history.history).plot(figsize=(10,6))\n",
        "plt.ylabel('accuracy')\n",
        "plt.xlabel('epoch')\n",
        "plt.show()\n",
        "plt.savefig('img.png')"
      ],
      "id": "breeding-oasis",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 720x432 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iraqi-snapshot",
        "outputId": "0804f300-deab-40c2-8e03-6f4183f4a7a3"
      },
      "source": [
        "start = time.clock() \n",
        "Malware_model.predict_classes(X_test, verbose=0)\n",
        "end = time.clock()\n",
        "\n",
        "print(\"Time per image: {} \".format((end-start)/len(X_test)))"
      ],
      "id": "iraqi-snapshot",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Time per image: 0.0011967892398286842 \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "advance-sunday",
        "outputId": "8c787cb4-c0ed-4a22-fa7b-ffce033f3ec6"
      },
      "source": [
        "print(end-start)"
      ],
      "id": "advance-sunday",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2.2356022999999823\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "suitable-attraction",
        "outputId": "2d2970b0-5009-4526-c44f-f2d039b38104"
      },
      "source": [
        "len(X_test)"
      ],
      "id": "suitable-attraction",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1868"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 34
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "turkish-approach",
        "outputId": "4c42539f-6137-4097-c723-3cf6654261b8"
      },
      "source": [
        "pred_time_list=[]\n",
        "for i in range(10):\n",
        "    start = time.clock() \n",
        "    result=Malware_model.predict(X_test)\n",
        "    end = time.clock()\n",
        "    pred_time_list.append( end-start )\n",
        "print(pred_time_list)"
      ],
      "id": "turkish-approach",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[2.311526200000003, 2.301674699999978, 2.306474699999967, 2.325368400000002, 2.3054166999999666, 2.321178100000054, 2.3042295000000195, 2.294398899999976, 2.300119699999982, 2.302853700000014]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "divine-tower"
      },
      "source": [
        "y_pred = Malware_model.predict_classes(X_test, verbose=0)"
      ],
      "id": "divine-tower",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "employed-fellowship"
      },
      "source": [
        "y_test2 = np.argmax(y_test, axis=1)"
      ],
      "id": "employed-fellowship",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pregnant-safety"
      },
      "source": [
        "c_matrix = metrics.confusion_matrix(y_test2, y_pred)"
      ],
      "id": "pregnant-safety",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "comic-cattle"
      },
      "source": [
        "class_names= batches.class_indices.keys()"
      ],
      "id": "comic-cattle",
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "architectural-crisis",
        "outputId": "486d6003-d8cb-4509-e016-b26d917166bc"
      },
      "source": [
        "df = pd.DataFrame(\n",
        "        c_matrix, index=class_names, columns=class_names, \n",
        "    )\n",
        "fig = plt.figure(figsize=(20,7))\n",
        "heatmap = sns.heatmap(df, annot=True, fmt=\"d\")\n",
        "heatmap.yaxis.set_ticklabels(heatmap.yaxis.get_ticklabels(), rotation=0, ha='right', fontsize=14)\n",
        "heatmap.xaxis.set_ticklabels(heatmap.xaxis.get_ticklabels(), rotation=90, ha='right', fontsize=14)\n",
        "plt.ylabel('Actual label')\n",
        "plt.xlabel('Predicted label')"
      ],
      "id": "architectural-crisis",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 42.0, 'Predicted label')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 52
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1440x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "scrolled": false,
        "id": "enormous-hayes",
        "outputId": "b37bd494-ead5-4895-ef11-fd29fa7f336e"
      },
      "source": [
        "df"
      ],
      "id": "enormous-hayes",
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Adialer.C</th>\n",
              "      <th>Agent.FYI</th>\n",
              "      <th>Allaple.A</th>\n",
              "      <th>Allaple.L</th>\n",
              "      <th>Alueron.gen!J</th>\n",
              "      <th>Autorun.K</th>\n",
              "      <th>C2LOP.P</th>\n",
              "      <th>C2LOP.gen!g</th>\n",
              "      <th>Dialplatform.B</th>\n",
              "      <th>Dontovo.A</th>\n",
              "      <th>...</th>\n",
              "      <th>Lolyda.AT</th>\n",
              "      <th>Malex.gen!J</th>\n",
              "      <th>Obfuscator.AD</th>\n",
              "      <th>Rbot!gen</th>\n",
              "      <th>Skintrim.N</th>\n",
              "      <th>Swizzor.gen!E</th>\n",
              "      <th>Swizzor.gen!I</th>\n",
              "      <th>VB.AT</th>\n",
              "      <th>Wintrim.BX</th>\n",
              "      <th>Yuner.A</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Adialer.C</th>\n",
              "      <td>22</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Agent.FYI</th>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Allaple.A</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>612</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Allaple.L</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>330</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Alueron.gen!J</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>35</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Autorun.K</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>C2LOP.P</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>26</td>\n",
              "      <td>4</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>C2LOP.gen!g</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dialplatform.B</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>37</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dontovo.A</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>37</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Fakerean</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Instantaccess</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lolyda.AA1</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lolyda.AA2</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lolyda.AA3</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Lolyda.AT</th>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>32</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Malex.gen!J</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>18</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Obfuscator.AD</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Rbot!gen</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Skintrim.N</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>16</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Swizzor.gen!E</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "      <td>7</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Swizzor.gen!I</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "      <td>10</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>VB.AT</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>82</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Wintrim.BX</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>14</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Yuner.A</th>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>156</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>25 rows × 25 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                Adialer.C  Agent.FYI  Allaple.A  Allaple.L  Alueron.gen!J  \\\n",
              "Adialer.C              22          0          0          0              0   \n",
              "Agent.FYI               0         17          0          0              0   \n",
              "Allaple.A               0          0        612          0              0   \n",
              "Allaple.L               0          0          0        330              0   \n",
              "Alueron.gen!J           0          0          0          0             35   \n",
              "Autorun.K               0          0          0          0              0   \n",
              "C2LOP.P                 0          0          0          0              0   \n",
              "C2LOP.gen!g             0          0          0          0              0   \n",
              "Dialplatform.B          0          0          0          0              0   \n",
              "Dontovo.A               0          0          0          0              0   \n",
              "Fakerean                0          0          0          0              0   \n",
              "Instantaccess           0          0          0          0              0   \n",
              "Lolyda.AA1              0          0          0          0              0   \n",
              "Lolyda.AA2              0          0          0          0              0   \n",
              "Lolyda.AA3              0          0          0          0              0   \n",
              "Lolyda.AT               0          1          0          0              0   \n",
              "Malex.gen!J             0          0          1          0              0   \n",
              "Obfuscator.AD           0          0          0          0              0   \n",
              "Rbot!gen                0          0          0          0              0   \n",
              "Skintrim.N              0          0          0          0              0   \n",
              "Swizzor.gen!E           0          0          0          0              0   \n",
              "Swizzor.gen!I           0          0          0          0              0   \n",
              "VB.AT                   0          0          0          0              0   \n",
              "Wintrim.BX              0          0          0          0              0   \n",
              "Yuner.A                 0          0          0          0              0   \n",
              "\n",
              "                Autorun.K  C2LOP.P  C2LOP.gen!g  Dialplatform.B  Dontovo.A  \\\n",
              "Adialer.C               0        0            0               0          0   \n",
              "Agent.FYI               0        0            0               0          0   \n",
              "Allaple.A               0        0            0               0          0   \n",
              "Allaple.L               0        0            0               0          0   \n",
              "Alueron.gen!J           0        0            0               0          0   \n",
              "Autorun.K               0        0            0               0          0   \n",
              "C2LOP.P                 0       26            4               0          0   \n",
              "C2LOP.gen!g             0        0           37               0          0   \n",
              "Dialplatform.B          0        0            0              37          0   \n",
              "Dontovo.A               0        0            0               0         37   \n",
              "Fakerean                0        0            0               0          0   \n",
              "Instantaccess           0        0            0               0          0   \n",
              "Lolyda.AA1              0        0            0               0          0   \n",
              "Lolyda.AA2              0        0            0               0          0   \n",
              "Lolyda.AA3              0        0            0               0          0   \n",
              "Lolyda.AT               0        0            0               0          0   \n",
              "Malex.gen!J             0        0            0               0          0   \n",
              "Obfuscator.AD           0        0            0               0          0   \n",
              "Rbot!gen                0        0            0               0          0   \n",
              "Skintrim.N              0        0            0               0          0   \n",
              "Swizzor.gen!E           0        0            1               0          0   \n",
              "Swizzor.gen!I           0        2            0               0          0   \n",
              "VB.AT                   0        0            0               0          0   \n",
              "Wintrim.BX              0        0            0               0          0   \n",
              "Yuner.A                 0        0            0               0          0   \n",
              "\n",
              "                ...  Lolyda.AT  Malex.gen!J  Obfuscator.AD  Rbot!gen  \\\n",
              "Adialer.C       ...          0            0              0         0   \n",
              "Agent.FYI       ...          0            0              0         0   \n",
              "Allaple.A       ...          0            0              0         0   \n",
              "Allaple.L       ...          0            0              0         0   \n",
              "Alueron.gen!J   ...          0            0              0         0   \n",
              "Autorun.K       ...          0            0              0         0   \n",
              "C2LOP.P         ...          0            0              0         0   \n",
              "C2LOP.gen!g     ...          0            0              0         1   \n",
              "Dialplatform.B  ...          0            0              0         0   \n",
              "Dontovo.A       ...          0            0              0         0   \n",
              "Fakerean        ...          0            0              0         0   \n",
              "Instantaccess   ...          0            0              0         0   \n",
              "Lolyda.AA1      ...          0            0              0         0   \n",
              "Lolyda.AA2      ...          0            0              0         0   \n",
              "Lolyda.AA3      ...          0            0              0         0   \n",
              "Lolyda.AT       ...         32            0              0         0   \n",
              "Malex.gen!J     ...          0           18              0         0   \n",
              "Obfuscator.AD   ...          0            0             33         0   \n",
              "Rbot!gen        ...          0            0              0        25   \n",
              "Skintrim.N      ...          0            0              0         0   \n",
              "Swizzor.gen!E   ...          0            0              0         0   \n",
              "Swizzor.gen!I   ...          0            0              0         0   \n",
              "VB.AT           ...          0            0              0         0   \n",
              "Wintrim.BX      ...          0            0              0         0   \n",
              "Yuner.A         ...          0            0              0         0   \n",
              "\n",
              "                Skintrim.N  Swizzor.gen!E  Swizzor.gen!I  VB.AT  Wintrim.BX  \\\n",
              "Adialer.C                0              0              0      0           0   \n",
              "Agent.FYI                0              0              0      0           0   \n",
              "Allaple.A                0              0              0      0           0   \n",
              "Allaple.L                0              0              0      0           0   \n",
              "Alueron.gen!J            0              0              0      0           0   \n",
              "Autorun.K                0              0              0      0           0   \n",
              "C2LOP.P                  0              0              0      0           0   \n",
              "C2LOP.gen!g              0              0              3      0           1   \n",
              "Dialplatform.B           0              0              0      0           0   \n",
              "Dontovo.A                0              0              0      0           0   \n",
              "Fakerean                 0              0              0      0           1   \n",
              "Instantaccess            0              0              0      0           0   \n",
              "Lolyda.AA1               0              0              0      0           0   \n",
              "Lolyda.AA2               0              0              0      0           0   \n",
              "Lolyda.AA3               0              0              0      0           0   \n",
              "Lolyda.AT                0              0              0      0           0   \n",
              "Malex.gen!J              0              0              0      0           0   \n",
              "Obfuscator.AD            0              0              0      0           0   \n",
              "Rbot!gen                 0              0              0      0           0   \n",
              "Skintrim.N              16              0              0      0           0   \n",
              "Swizzor.gen!E            0             17              7      0           0   \n",
              "Swizzor.gen!I            0              8             10      0           0   \n",
              "VB.AT                    0              1              0     82           0   \n",
              "Wintrim.BX               0              0              0      0          14   \n",
              "Yuner.A                  0              0              0      0           0   \n",
              "\n",
              "                Yuner.A  \n",
              "Adialer.C             0  \n",
              "Agent.FYI             0  \n",
              "Allaple.A             0  \n",
              "Allaple.L             0  \n",
              "Alueron.gen!J         0  \n",
              "Autorun.K            21  \n",
              "C2LOP.P               0  \n",
              "C2LOP.gen!g           0  \n",
              "Dialplatform.B        0  \n",
              "Dontovo.A             0  \n",
              "Fakerean              0  \n",
              "Instantaccess         0  \n",
              "Lolyda.AA1            0  \n",
              "Lolyda.AA2            0  \n",
              "Lolyda.AA3            0  \n",
              "Lolyda.AT             0  \n",
              "Malex.gen!J           0  \n",
              "Obfuscator.AD         0  \n",
              "Rbot!gen              0  \n",
              "Skintrim.N            0  \n",
              "Swizzor.gen!E         0  \n",
              "Swizzor.gen!I         0  \n",
              "VB.AT                 0  \n",
              "Wintrim.BX            0  \n",
              "Yuner.A             156  \n",
              "\n",
              "[25 rows x 25 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 49
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "protecting-ordinance"
      },
      "source": [
        ""
      ],
      "id": "protecting-ordinance",
      "execution_count": null,
      "outputs": []
    }
  ]
}