commit bf97953ffd558336c695a6956a4df4a52a2d4e6e Author: teguhrzo Date: Thu Jul 10 21:59:56 2025 +0700 Initial commit diff --git a/Brewing_Level_Prediction_Muhammad_Teguh_Prananto.ipynb b/Brewing_Level_Prediction_Muhammad_Teguh_Prananto.ipynb new file mode 100644 index 0000000..c04f760 --- /dev/null +++ b/Brewing_Level_Prediction_Muhammad_Teguh_Prananto.ipynb @@ -0,0 +1,6200 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Install Package Needed" + ], + "metadata": { + "id": "MmZad6grpLF8" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install keras_tuner" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "5mV_EHY2pKrq", + "outputId": "c3905100-48f0-447d-cea9-4e84d107ca6c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting keras_tuner\n", + " Downloading keras_tuner-1.4.7-py3-none-any.whl.metadata (5.4 kB)\n", + "Requirement already satisfied: keras in /usr/local/lib/python3.11/dist-packages (from keras_tuner) (3.8.0)\n", + "Requirement already satisfied: packaging in /usr/local/lib/python3.11/dist-packages (from keras_tuner) (24.2)\n", + "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from keras_tuner) (2.32.3)\n", + "Collecting kt-legacy (from keras_tuner)\n", + " Downloading kt_legacy-1.0.5-py3-none-any.whl.metadata (221 bytes)\n", + "Requirement already satisfied: absl-py in /usr/local/lib/python3.11/dist-packages (from keras->keras_tuner) (1.4.0)\n", + "Requirement already satisfied: numpy in /usr/local/lib/python3.11/dist-packages (from keras->keras_tuner) (2.0.2)\n", + "Requirement already satisfied: 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kt_legacy-1.0.5-py3-none-any.whl (9.6 kB)\n", + "Installing collected packages: kt-legacy, keras_tuner\n", + "Successfully installed keras_tuner-1.4.7 kt-legacy-1.0.5\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Get Times New Roman Font" + ], + "metadata": { + "id": "0cdkxdiaRSAF" + } + }, + { + "cell_type": "code", + "source": [ + "import matplotlib as mpl\n", + "import matplotlib.font_manager as fm\n", + "print(mpl.__version__)\n", + "\n", + "!wget -O TimesNewRoman.ttf https://github.com/justrajdeep/fonts/raw/master/Times%20New%20Roman.ttf\n", + "font_dirs = [\"/content/\"]\n", + "font_files = fm.findSystemFonts(fontpaths=font_dirs, fontext='ttf')\n", + "for font_file in font_files:\n", + " print(font_file) if 'TimesNewRoman' in font_file else None\n", + " fm.fontManager.addfont(font_file)" + ], + "metadata": { + "id": "3HJhcAseRReR", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "e44fe6f9-6a88-4153-c013-abfa70293bff" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "3.10.0\n", + "--2025-04-16 00:58:12-- https://github.com/justrajdeep/fonts/raw/master/Times%20New%20Roman.ttf\n", + "Resolving github.com (github.com)... 140.82.116.4\n", + "Connecting to github.com (github.com)|140.82.116.4|:443... connected.\n", + "HTTP request sent, awaiting response... 302 Found\n", + "Location: https://raw.githubusercontent.com/justrajdeep/fonts/master/Times%20New%20Roman.ttf [following]\n", + "--2025-04-16 00:58:12-- https://raw.githubusercontent.com/justrajdeep/fonts/master/Times%20New%20Roman.ttf\n", + "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n", + "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n", + "HTTP request sent, awaiting response... 200 OK\n", + "Length: 834452 (815K) [application/octet-stream]\n", + "Saving to: ‘TimesNewRoman.ttf’\n", + "\n", + "TimesNewRoman.ttf 100%[===================>] 814.89K --.-KB/s in 0.03s \n", + "\n", + "2025-04-16 00:58:12 (23.2 MB/s) - ‘TimesNewRoman.ttf’ saved [834452/834452]\n", + "\n", + "/content/TimesNewRoman.ttf\n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "id": "o4xT26dnowt7" + }, + "outputs": [], + "source": [ + "import tensorflow as tf\n", + "import numpy as np\n", + "import pandas as pd\n", + "from sklearn.model_selection import StratifiedKFold\n", + "from tensorflow.keras.layers import Dense, Dropout, BatchNormalization, Conv1D, GlobalAveragePooling1D, Input, MaxPooling1D, Flatten\n", + "from tensorflow.keras import Sequential\n", + "from tensorflow.keras.losses import SparseCategoricalCrossentropy\n", + "from tensorflow.keras.regularizers import l2\n", + "from keras.callbacks import CSVLogger\n", + "from keras_tuner import HyperParameters, RandomSearch, GridSearch\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.preprocessing import LabelEncoder\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "from sklearn.metrics import classification_report" + ] + }, + { + "cell_type": "code", + "source": [ + "tf.random.set_seed(42)\n", + "df = pd.read_excel(\"Coffe Brewing Level - Spectroscopy.xlsx\")\n", + "sample = df.sample(20)\n", + "sample.head(20)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 696 + }, + "id": "CkgAfu71paiV", + "outputId": "a797708b-1d60-43c5-caf4-ea56a5071fa3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " 410nm 435nm 460nm 485nm 510nm 535nm 560nm \\\n", + "107 4.229255 0.966277 1.861446 0.885403 3.017060 11.156102 1.307779 \n", + "50 10.150212 1.932554 5.584338 0.885403 2.262795 8.367077 0.871853 \n", + "48 5.920957 1.932554 3.722892 0.885403 2.262795 9.761589 0.871853 \n", + "101 4.229255 0.966277 1.861446 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011.8419142.8988317.4457841.7708063.0170606.9725640.4359260.8243.2965760.7466661.0052980.3539230.7479480.7810820.8270061.0998320.5120090BitterBitter
1395.9209571.9325543.7228920.8854033.01706011.1561020.8718530.8243.2965760.3733331.0052980.3539230.7479480.0000000.8270061.0998320.5120090Weak_ColdWeak
1110.1502121.9325545.5843380.8854033.01706011.8533581.3077791.6483.2965761.1199991.0052980.3539231.4958950.7810820.8270061.0998320.5120090Bitter_ColdBitter
1406.7668081.9325542.7921690.8854031.5085306.2753080.8718530.8243.2965760.7466661.0052980.3539230.7479480.0000000.8270061.0998320.5120090Weak_WarmWeak
611.8419142.8988317.4457841.7708063.0170606.9725640.4359260.8243.2965760.7466661.0052980.3539230.7479480.7810820.8270061.0998320.5120090BitterBitter
8513.5336163.8651089.3072302.6562093.7713255.5780510.8718531.2366.5931520.7466661.0052980.3539230.7479480.7810820.8270061.0998320.5120090Strong_WarmStrong
1475.9209570.9662772.7921690.8854032.2627957.6698201.3077791.2362.1977170.7466661.0052980.3539230.7479480.0000000.8270061.0998320.5120090Weak_WarmWeak
1445.9209571.9325542.7921690.8854032.2627958.3670770.8718531.2362.1977170.7466661.0052980.3539230.7479480.0000000.8270061.0998320.5120090Weak_WarmWeak
11110.1502122.8988316.5150611.7708063.0170605.5780511.3077791.6484.3954341.1199991.0052980.3539230.7479480.7810820.8270061.0998320.5120090Underdeveloped_WarmUnderdeveloped
959.3043612.8988316.5150611.7708063.0170605.5780511.7437061.6485.4942930.7466661.0052980.3539230.7479480.7810820.8270061.0998320.5120090UnderdevelopedUnderdeveloped
11310.1502122.8988316.5150611.7708063.0170605.5780511.3077791.6484.3954341.1199991.0052980.3539230.7479480.0000000.8270061.0998320.5120090Underdeveloped_WarmUnderdeveloped
1416.7668081.9325542.7921690.8854031.5085306.2753080.8718531.2363.2965760.7466661.0052980.3539230.7479480.0000000.8270061.0998320.5120090Weak_WarmWeak
8713.5336163.8651089.3072302.6562093.7713255.5780510.8718531.2366.5931520.7466661.0052980.3539230.7479480.7810820.8270061.0998320.5120090Strong_WarmStrong
1810.1502121.9325545.5843380.8854033.01706011.8533581.3077791.6483.2965761.1199991.0052980.3539230.7479480.0000000.8270061.0998320.5120090Bitter_ColdBitter
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\"min\": 0.0,\n \"max\": 0.3539231419563293,\n \"num_unique_values\": 2,\n \"samples\": [\n 0.0,\n 0.3539231419563293\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"730nm\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.16724617515938625,\n \"min\": 0.747947633266449,\n \"max\": 1.495895266532898,\n \"num_unique_values\": 2,\n \"samples\": [\n 1.495895266532898,\n 0.747947633266449\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"760nm\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.40068641506451047,\n \"min\": 0.0,\n \"max\": 0.7810816168785095,\n \"num_unique_values\": 2,\n \"samples\": [\n 0.0,\n 0.7810816168785095\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"810nm\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 0.8270058035850525,\n \"max\": 0.8270058035850525,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.8270058035850525\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"860nm\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.4029208219005489,\n \"min\": 1.09983217716217,\n \"max\": 2.199664354324341,\n \"num_unique_values\": 2,\n \"samples\": [\n 1.09983217716217\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"900nm\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.5470262995437506e-17,\n \"min\": 0.512009024620056,\n \"max\": 0.5120090246200562,\n \"num_unique_values\": 2,\n \"samples\": [\n 0.512009024620056\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"940nm\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 0,\n \"num_unique_values\": 1,\n \"samples\": [\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Label_Temp\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 11,\n \"samples\": [\n \"Bitter\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Label\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"Ideal\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 7 + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.rcParams['font.serif'] = \"Times New Roman\"\n", + "plt.rcParams['font.family'] = \"serif\"\n", + "palette = sns.color_palette(\"crest\")\n", + "sns.countplot(data=df, x='Label', palette=palette)\n", + "plt.xlabel(\"Label\")\n", + "plt.title(\"Distribusi Label\")\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 611 + }, + "id": "_6LskFP2q58C", + "outputId": "57b5d300-fa7b-47ad-dc48-90739106402f" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":4: FutureWarning: \n", + "\n", + "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", + "\n", + " sns.countplot(data=df, x='Label', palette=palette)\n", + ":4: UserWarning: The palette list has more values (6) than needed (5), which may not be intended.\n", + " sns.countplot(data=df, x='Label', palette=palette)\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Preprocessing" + ], + "metadata": { + "id": "BM_9cZ8KqTzB" + } + }, + { + "cell_type": "code", + "source": [ + "# Applying encoder\n", + "encoder = LabelEncoder()\n", + "df['Label'] = encoder.fit_transform(df['Label'])\n", + "\n", + "# Get Classes\n", + "classes = encoder.classes_\n", + "print(classes)\n", + "\n", + "# Inspect Data after encoded\n", + "df.head()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 243 + }, + "id": "7MvvNZtKqVVF", + "outputId": "8ef5ab9e-0374-4f9a-be48-2adede022c35" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "['Bitter' 'Ideal' 'Strong' 'Underdeveloped' 'Weak']\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " 410nm 435nm 460nm 485nm 510nm 535nm 560nm \\\n", + "0 11.841914 2.898831 7.445784 1.770806 3.017060 6.972564 0.435926 \n", + 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\"description\": \"\"\n }\n },\n {\n \"column\": \"Label_Temp\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 15,\n \"samples\": [\n \"Underdeveloped\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Label\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 0,\n \"max\": 4,\n \"num_unique_values\": 5,\n \"samples\": [\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {}, + "execution_count": 9 + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Modelling dengan Maxpooling" + ], + "metadata": { + "id": "dIwdlvRu-Tev" + } + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras.utils import plot_model\n", + "\n", + "def build_model():\n", + " model = Sequential()\n", + "\n", + " # Input layer\n", + " model.add(Input(shape=(18, 1)))\n", + " model.add(Conv1D(\n", + " filters=16, #\n", + " kernel_size=2,\n", + " activation='relu',\n", + " kernel_regularizer=l2(0.001) # Nilai tetap untuk L2 regularization\n", + " ))\n", + " model.add(MaxPooling1D(pool_size=3))\n", + " model.add(Flatten())\n", + " model.add(Dense(\n", + " units=16,\n", + " activation='relu',\n", + " kernel_regularizer=l2(0.001) # Nilai tetap untuk L2 regularization\n", + " ))\n", + " # model.add(Dropout(0.4)) # Nilai tetap untuk dropout\n", + "\n", + " # Output layer\n", + " model.add(Dense(len(classes), activation='softmax'))\n", + "\n", + " # Optimizer dengan nilai tetap\n", + " optimizer = tf.keras.optimizers.Adam(learning_rate=0.001)\n", + "\n", + " # Compile model\n", + " model.compile(\n", + " optimizer=optimizer,\n", + " loss=tf.keras.losses.SparseCategoricalCrossentropy(),\n", + " metrics=['accuracy']\n", + " )\n", + "\n", + " return model\n", + "\n", + "callbacks = [tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True),\n", + " tf.keras.callbacks.ReduceLROnPlateau(monitor=\"val_loss\",\n", + " patience=5,\n", + " verbose=1)]\n", + "\n", + "early_model = build_model()\n", + "# Plot and save the model architecture\n", + "plot_model(early_model, to_file=\"early_model_plot.png\", show_shapes=True, show_layer_names=True, show_layer_activations=True)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "Kvq_rAjaG54M", + "outputId": "939b6239-c612-4fbe-e5a8-b1916c8727ff" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "image/png": 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r3LmzwzoWi0Xznp6WlmbqLk8EQRClKUiYEARBFFF4eXlp5ojnN3PmTMM6jkZqGE1hERG1f/9+w/L79+83HFUhIqpixYp2h8nv27fP7jnlX+Tyury8POuXnf3796u+ffuqwMBAFRgYqPr27auOHTtm9+/G1q1bbY5RpkwZmzs/XOfsTg5btmwxrFeQaTTuSJjUrVvXbuJj+fLlhnXKly9vd1qRUjdWwiQ4OFhdvHjR8DyM1tmwl2A8evSo02OtXLnSsG5R/Nf8vffe0xxj5MiRTuu88MILmjrbt28v1uciMDBQpaamavrwr3/9y1TdTZs2aerNmjXLbln9+1dWVpZq3bq102P8+OOPTq+pl5eX5vWUk5Njd4RY/qhZs6bm9/Dvv/8u8HUsqQkTEdukkJkROPq7UrVt27ZYX5cEQRAlPcwmTLwEAOCSAQMGSIMGDWz2X716VV566SXDOlFRUTJz5kzDx8aPH2+zr2fPnnL77bfb7M/JyZHhw4dLYmKiYVuJiYkyduxYUUrZPNa2bVvp1KmTYT0jFotFLBaLbNu2Tbp06SKbN2+WpKQkSUpKks2bN8udd94pFy5cMKzbtm1bm325ubmyZs0aw/L33nuv3X5UqFBBevToYbP/2rVrsnnzZnMn42aDBw8Wi8Visz81NVWmTp1qWCclJUUmTJhQ1F0rcgEBAbJu3TqpUaOGzWPp6enywQcf2Oz//fffDdtq1qyZdOjQwe6xypUrJ7179zZ8LCgoyGSPzevYsaNme/fu3U7r1K5dW7N98OBBt/bJmYceekj8/f2t25GRkfLjjz+aqvu///1Psz1ixAjx8jL30XDVqlVy6NAhp+V++uknzXaTJk1syuTl5clXX31l3S5TpowMHDjQadtDhgzR/B4uX77caZ0b0alTpzTb9evXd1pH/9p15b0fAPB/SJgAgIuGDh1quH/NmjWSnp5ut97GjRslKytL4uPj5ezZs3L06FHZvXu35OTk2JQdM2aMYRvh4eHy119/OezfgQMHZOfOnYaPPfTQQw7r6qWlpcno0aMlMzPT5rGrV6/KO++8Y1ivSpUqUrlyZZv9X375pWH5fv362e1DWFiY+Pj42Oxfs2aNZGVl2a1XlPr06WO4f8OGDXL16lW79Q4cOGDqS3hJVaFCBdm0aZN07drV8PE333xTzpw5Y7P/4sWLcvToUcM67777rpQtW9bwsZkzZ0q1atUMH8ufJHCXpk2bWn/Ozs6WqKgop3X0iRtHz39R6NWrl2Y7f+LBmV27dsnly5et29WrVzdMaBhZuXKlqXKnT5/WbFesWNFUe4MHD3batv69+GZNmMTFxWm2q1Sp4rTO33//rdk2+7wCALRImACAi+x9Wdy+fbvDenv37hVfX18JCgqSevXqSYsWLaRLly6GXwy6d+9u2IbZERVbtmwx3O/qfxm/+uoru6NIREQ2bdpk9zGjL0a7du2Sc+fO2ey/4447DBMsIv+M6DHiyS9HLVq0MNy/bds2p3XDw8Pd3Z1iUaNGDfn5558NR/uI/JMQ1I9YyG/OnDmG+3v06CFbt26Vu+66SwICAiQgIEB69Ogh4eHh8vjjj9ttz9vb26X+O+Pn5yfVq1e3bl+4cEHy8vKc1tN/eb127Zpb++VMu3btNNv2RvMYUUrZjIhp06aNqbq//fabqXIpKSmabXuJrt9//11Onjxp3e7Zs6fd9wQRkVq1akmXLl2s27t27TKV4LoR6ZNwZpKF+kRV3bp13donACgtSJgAgAuqV69uMwT/uhMnTrjlGNWqVZN69eoZPnb48GFTbRw7dsxw/+233244lcSeiIgIh4+fP3/e7pdKX19fm31KKVm9erXN/rJly8o999xjuD8sLMxm/9mzZ2XHjh0O+1ZUAgICJCQkxPAx/X91jRT3lA136NChg+zdu9dwmpjIP8nC4cOHG04Fu27p0qWyd+9ew8d69OghkZGRkpKSIikpKbJt2zYJDQ0VEZGkpCTDOmlpaS6ehWMhISGa343z58+bqpebm6vZdncix5GyZcvaTA90NgJN7/jx45rtRo0aOa2TlZVlOjGkHwXm6P0n/wg0b29vue++++yW1U/H+eKLL0z150akT5BkZ2c7rXP27FnNtr2/WwAAx0iYAIAL8v8HWi//0PbCuOWWW+w+Fh0dbaqNixcvGu739fWVChUqmO7Ln3/+6fDxvLw8m+Hi19n7YmRvWo7ROibdu3c3/C/zypUrHX45L0qO/utt5jXgrtdJcRkyZIhs375datasafh4eHi4hIWF2Ywk0MvOzpahQ4eaTkSI/LNmz/Tp0w0fs5dIKajAwMACta//77+Z6RLuUrFiRc3vWVZWlqSmprrUhn49JHtTZvJLTk526RhmrVixQrPtaFpO/uk4WVlZLk1FutHop32Zuf76Mq687wMA/g8JEwBwgaMvy47WL3GFoy9cZr8MOSrn6Bz07C0um5+rX54OHDhg819tEZHQ0FApU6aMZp+96Tj6L1bFydEXDzOjHorqy2ZReP7552X16tXi5+dn+PgHH3wg/fv3Nz3a4/Tp09KpUyfZunWr07KnTp2Snj172l2Px93XUf9ffLPnpE+YOEp4ups+yeMsaWVEX0ffZnE6fvy4HDhwwLrdp08fw9+32rVra6YXbt68WeLj44ulj54QHBys2TaTdNT/DSiKNX8AoDQgYQIALrC3OKWI2HzZLyhHIyfMTqdxdKcLM+syXKefbuAuq1atstkXFBQknTt31uzr37+/TbmDBw/aXUC0ODh6DsyMenHX66QolSlTRpYsWSL/+9//7N4NaPjw4TJt2jSXXyOXLl2Su+++W3r27CkLFiyQP//8UxITEyUjI0OioqJkw4YNMmrUKGnZsqXs2LFD6tSpY9hOTExMgc7NHv0UMqOFjo3op2HpX8NFSf96c2W63XX69wpX3h+KQv7FX319fQ1Hng0dOrRU3B3nujvuuEOzbZRw1svLy9MsKG40RRIA4BwJEwBwgaN5++76D56j/5SWL1/eVBuOyhX3XTyMmLlbTqtWrQxvn+nJ0SUijkc2mHkNlPSh8WXLlpVVq1bJ2LFjDR//+++/pVOnTnafQ7MiIyPlsccek2bNmkmlSpWkXLly0rBhQxkwYIAsX77cOmLL3t09zK7nY5Y+QWL2C+Yvv/yi2b7tttukatWqbuuXI/oRYGbfHxzVMTOqrCh9+eWXmqSN0bScIUOGWH9OSEhwuPj0je62226zGbX066+/Oq3n5eWlSfCbTQACALRImACACxwlG+wtBOoqR2tc2Ptvu9lyycnJbl8ssyCOHz9uuPhp/v8mG03HycvLK/QX9cJKSEiw+1iNGjWc1i/Jiy96eXnJihUr7K4dsXHjRunQoUOxjvCxd8codydM9L8XZhOgf/zxhybJYLFYZPTo0W7r1yuvvCKLFy82/J1OTEzUjDLx9vZ2OSGnn6Ln6YRJdHS0JgkVGhqqeS7q1KmjmY6zZs2amzoZoL8V/L59++TSpUtO6wUEBGi2S8L7PgDciEiYAIALzp8/bzdpcuutt7rlGHFxcXZvj9m6dWtTbbRq1cpw/+7duwvcL3czSny0bNnS+sXQ6A4ZkZGRphe+LSrJycl2k1pNmzZ1Wt/enWZKglmzZmkW08xv5syZMmDAALcvtupIhQoVpFevXjb7s7Ky3H63oYIukpmXl2czxeyJJ55wy9SrGjVqyDPPPCPjx4+XEydOyJw5czRTaPLy8mzuztW8eXOXjtGsWTPNtqt32SkK+afl+Pv7a+6UpX993sx3xylfvrxMmTJFs2/p0qWm6upfvzfS2kkAUJKQMAEAF9lLOhh9scsvICBAUlJSJCEhQS5cuCDHjx+X/fv3yy+//GKz0Ov27dsN2zCaz28k/9SW/H7++WdT9YvDqlWrDNf86Nevn4SEhEi7du1sHispaxXYG2Hh7DUgYrwuS0kwatQomTp1quFjL730kjzzzDOFujNR9+7d5dFHH5X33ntP1q9fL4cPH5YzZ844nPoyadIkw2kmERERbh8JceHCBc35mR3NJfLP4rf569arV8/u3X1cMW/ePOv5+/j4SO3atW3WGPn999812/lHXzhTtmxZadOmjWbfnj17Cthb91mzZo3mdsT5R5s9+OCD1p89eXvx4vD6669rRgBduHBBFi1aZKpu3bp1Nduu3J0KAJCPMiE8PFyJCEEQBCGixo4da/hemZqaqoKCguzWGzRokGG98+fP25Tt0aOHYdnc3FzVqlUrh/3r3bu3Yd3s7GxVp04dwzpxcXGGdWrVquX0epw8edKw7q233uq07s6dO23qbdq0ST3++OM2+9PT01VgYGChn78ffvjBsL8DBw403cb06dMN20hLS1PVqlVz+blRSqmDBw967DXdqFEjlZycbNivBQsWuOUYERERhu1Pnz7dsHy7du1UWlqaYZ1hw4YVyXW4fPmy9RhZWVnKy8vLdN3Vq1dr+piVlaW6dOlS4L5MmzZN0156erpq0qSJTbkxY8Zoyv3++++mjxEWFqap+/fff9stm5KSYi0XFxdn+hihoaGaYyxevNhUvQ0bNljrXLlyRVksFlWnTh1NW2+++abbnvuEhARruykpKQVqY8KECZr+RUREFLg/999/v83r/tFHHzVd/6GHHtLU/eCDD9x2rQiCIG6GCA8Pt3mfNULChCAIwsXw8/NTsbGxhu+XK1asMKxTqVIldfr0acM6r732mmGdPXv2GJY/cOCA3cRBzZo1VVRUlGG9lStX2j0nTyVMpkyZYlMvLS1NRUZG2uz/6quv3PL8uSNh0rRpU8M2lFJq1apVymKx2NSpVq2aOnHihN16nkyYbNq0ybBPFy9eVOXLl3fLMfRfJq/Ly8tTH3zwgbr11luVn5+fql27tpo2bZrdBM7x48eVj49PkVyH7du3a47VqFEj03WDgoLUhQsXNPWTkpJUr169XO7HI488onJzczVtPfHEE4Zly5Urp+Lj4zVl+/bt6/QYFotF7dq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J/fHHH5ptunXrZrX8sGHDNGW//fZbp17T3PzorFatmqau1NRUw3JFixa16NWZlJSkpk6dqpo2bapKliypfHx8VFhYmOrcubP69ddfld7YsWNttsXd+3BXwiR7j49169ap//73v0oppRITE9X777+v7r//flWsWDFVtGhRVaNGDTVixAiL//t//vmnzdfm8ccftzjW/fv3q169eqly5copX19fVaVKFTV06FAVGxurlFIqISFBPffcc5pt3n///Ry/V/JjwkTkTi/M7K5fv658fHzsbqdPnK9cuTLXbWFhKWgLCRMWlhws2e+AkCU+Pt4wMLElMzNTvfrqq05to5TtK3H+/v4WQW6Wv/76S7Vt21YFBwerkJAQ9eijj1odsmPv89ymTRvDq/pxcXEWPUasDWv58MMPPX4ur127Zti25ORkpZRS+/btU126dFHFixdXJUqUUI888ojVoUVKKTV//nyr+2rUqJFhTwml7vS0eeGFF1SlSpWUr6+vKleunOrfv786deqUYfmMjAzVrFmzfLGvvEiYWPvMff/994Z12TNo0CCr+7JV54YNG1RkZKQKDAxUwcHBqlu3burw4cNKKWW1C3hOEwyuSpjofyRn9/PPP6tmzZqpYsWKqeDgYNW1a1cVHR2tlFJWe+14MmFi1BPvwIEDHv8/IiKqW7dumnZ98sknDm+r/4HUrl07JSLqyy+/NK9LS0tTZcqUcai+pk2baurr2LGjErmToMvOVsLk3Xff1ZTdt2+fzSGhfn5+atu2bZpt7CVb9cm8c+fOGSYzK1SooCkXGxurGb7myGuamx+dbdu21dR15swZw3Iffvihptz58+dtDlUVEfXmm29qtklJSbE5XMLd+3BXwiR7Evry5csqMzNTnTx5UkVERFjd5uGHH7b4P2St3V5eXurAgQOaslFRUVaTAiEhIeZeF3FxcZrtJkyYkOP3Sn5NmAQFBVn0MmzatKnd7Uwmk+b79+bNm3bv+sXCcrctJExYWHKwWOstkeXjjz9WVapUUcWKFVMdO3ZUZ8+etfq5yeqRcvnyZfX000+r4sWLqzJlyqh33nlH04U1u5SUFOXn52fYtt69e1vdpmzZshbl7733XsMfRpmZmVavfGctWVeI9LL/UGjWrJlh/QcPHlT+/v758lxm2bp1q3luiuyLj4+P5raf2aWlpVm92r13717Dbfbu3Wt1WFKJEiWsdlves2eP1ePKy33lRcLE2mcu6721d+9e1alTJxUUFKSCgoJUp06dzIkMI+vXrzfcT5UqVaxus3LlSsOu7CVKlDAnGYx4MmFSpUoVq4mPJUuWGG4TGBhoc84KTyVMrJ2bn376yVymZcuWat68eergwYPq2rVr6ubNm+rMmTNq1apVasiQIW69ja5+KEC/fv0c3tZawqRZs2aa9SNGjHCovuy3PM0+/4kzCRP958eRIUGtWrXSbLN161a72wwaNEizzUcffWRRRj8H0+OPP+70a5qbH536c2t0i9WgoCBzoj1L27ZtHap/1apVmu2szaGRF/twV8JE3xMwLS1NPfDAA3bb/fvvv2u2s/a5ioyM1JRLSkpSpUqVsll3WFiYYTL+bkyYiIjasmWLpt4hQ4Y4tN3atWs12z344IMuaQ8LS0FZSJiwsORgsfUj22jsa926dW0O1bl165aqV6+exXaTJk2yuk3W/Cf6ZdCgQWrz5s1q79696vjx4yo2NlYlJiaq3377zerx7Ny503AftrpHi4gqVqyY4Tjq27dvqwYNGhiOOVfK/pCf/HAu09PTVc2aNa1uV7t2bas/RI0CutatW1vdj72rg/Xr17e6ryZNmnh0X7ZeQ3cnTLL873//M0wghoaGWp20NWtiX/0yfPhww/Kpqak226f/YZudJxMm1o4nKSnJ5hV6/SSIrjie3C4tW7Y0bM+cOXNUSEiIRTLAyOXLl51KZDiz6JOo1apVc3hbawkTEW3i4siRI3brKlq0qOZH2+TJk83POZow8fHxUd99953aunWrOnHihLpx44Zh8thou+xzJl29etWh4//tt9/M22RkZGh+kHXq1EnT5q+//jpHr2lOf3SWL1/eomeT0ZxDL7/8sqbMxo0bHd5HixYtNNtevHjRMDmbF/vIq4TJokWLHGr32LFjNdtZm0hZP9fGnDlzHKpf3/tGqbs3YfL1119r6p0xY4ZD202YMEGz3eDBg13SHhaWgrI4mjDhtsKAA+Li4uS9996zWH/w4EGJioqyut3cuXMNb8c3a9YsuX37tuE299xzj+H6efPmSWRkpDz44INSvXp1KVeunBQvXlweffRRq/uPjo42XF++fHmr24iI3Lx5U5577jnJzMzUrPfy8pJ58+bJa6+9JvXq1bPYbsKECbJv3z6bdXvaunXr5OjRo1afP3LkiOzYscPwubZt21qss3Zr06ioKPnnn39stmXfvn2ybds2w+f69Onj0X152s2bN6V///6Smppq8dyVK1dkypQphtuFhIQY3g76kUceMSy/evVqOXfunNV27NixI1++p60dz6+//ipXrlyxut2+fftk586d7mpWjhQvXtxw/e3bt2XNmjXSq1cvu3WUKlVKFi9eLGPGjHF186RmzZrmv9PT0+XUqVMuqffLL780/12rVi1p3ry5zfLdunWTEiVKmB8vWLDA6X2mp6dLz549pWXLllKtWjUJCgqSW7duObRdfHy8+XFwcLDd29WLiAwcOFCuX78uInduO/zZZ5+Jl5eXFC1aVHNL33Pnzsnrr7/u9PHkVKVKlWTVqlUSFBRkXnfgwAH58ccfLcq2adNG8/i7775zeD/bt2+XuLg48+MyZcpIjRo1PLKPvLJ06VKHyv3777+ax9nf29npPxdr1qxxqP6FCxdKWlqaQ2ULuuyfTRHR3FrZlmPHjmkee/J9A+RnJEwAByxdulRSUlIMn9u8ebPV7RYuXGi4/sqVK3Lo0CHD56z9eMiJrEBVz+gHpd62bdtk1qxZFusbNmwoM2bMsFi/fft2mTp1qvONzGMrV660W2bjxo2G6+vUqWOxLjIy0rCso0HdunXrDNc3adLEo/vytO+++85mImPVqlVWnzMKvO+77z7Dshs2bLDbFlv78pS6desarrf23s3OVpLXEwIDAw3XDxgwwOn35qRJk6Rz586uaJaIiPj7+0uZMmXMj8+dO2eRSM6pRYsWSXp6uvnxCy+8YLP8gAEDzH9v3rxZTpw44ZJ2OCp7W00mk/j4+NjdJiYmRoYNG2Z+3LBhQxkyZIi88847mosD2RMr7uDr6ythYWHSrl07mTVrlhw8eFDq169vfj45OdnwIoGISIMGDTSPd+3a5fB+lVIWF02MLjbkxT7yyp9//ulQuaSkJM3jYsWKGZarXr265vGePXscqv/KlStOvY4FmT5Jbu211NMnrapUqeKyNgF3ExImgANsJUUuXLhguD4xMdFqDw9b2/n5+TnXuGyKFCkiRYsWlaCgIAkJCbFal5eXYx/9cePGyZEjR+xun5ycLP3797faayY/Merxo6e/6pJFf/WldOnSEh4eblj2wIEDDrXn8OHDhuvr168vJpPJI/vKD9auXWvz+ZiYGKs/XPXv+4CAAKu9quz1zBGRfNfDJCAgQCpUqGD4nLX3bnaOfAbyUkBAgOH6rKD/5MmT0r9/f6lWrZr4+/tL9erVZfz48XLz5k2LbUwmk3z44YcO/4+zp0KFCprPRkxMjEvqFRG5fPmy/Prrr+bHPXv2tJowDw8Pl1atWpkf56R3iZGSJUtKjx495KOPPpKoqCiJjo6WM2fOyKVLl+TatWuSmJgoKSkpkpGRkeMfUwsWLJDVq1ebH0+ePFmGDx9ufvzZZ5/Jb7/9luNjaN++vag7Q8ytLqmpqRIXFyfr16+XN954Q9Oz5OrVq/Lkk0/K3r17LeouUqSIREREaNY58j8jO32PxmrVquX5PvJKWlqaXLt2zeGy2Rl9BxUtWlTCwsLMj1NSUv4fe/cdHUX1Pn78SUIgQEgh9CbSq6Ag0kTU0EVQiihNaYKAShEQVKofpYioNKnSRUCUFlAQASkSQbpSBARCSIAQUiAJIff3h7/sNzM7W5LsZrPJ+3XOPSc7e+fOnZ0tT565c0czmsaW3JIw0SdI0iY3rfn33381j8uWLeuwPgE5SR5XdwBwB9bO5OmHQqa6dOmSKKXSvZ49/7hWqlRJOnXqJE2aNJEaNWpIkSJFxM/Pz+H/9CYkJEjv3r3l4MGDVodfDx8+XP755x+HbttZrI1aSBUREWG43M/PTzw9PU3/qJcoUcJiG2FhYXb1x1rirFChQhITE5Pl28oOjBJ1aaWkpMitW7c0Z/9T6T8H1kZU2fPaWXrdXMXa/tjzz0R6/uHICkaXXaU6d+6cNGzYUPNP2IULF2TKlCmyd+9e2bVrl+TJow1lqlatKq1atXLISJq0/1iLiMM/I4sXL5ZOnTqJyH+Jo1deeUUWLVpkVu/11183va9jY2Nl3bp1mdpuYGCgTJo0Sfr16yc+Pj6Zasse/fv3l1OnTknhwoU1SaFLly7JyJEjnb59IykpKbJx40YZPny4XLlyxbCOv7+/5vskKSlJ4uPj07Ud/cgZ/Qi4rNhGVomNjXVoe/oE4p07d6zGVXqOTHBmZ0FBQZrH9h4HfT1HjnAGchJGmAB2sPbjYymwiY6OttpmegMikf9GGaxatUrOnTsnn376qbRv314qVqxoFnA5UmhoqMX5IkT+m+NhwYIFTtm2M9gTSFg6Nh4eHpqz4dauE7b3+Fqrl/Yf46zcVnZgz/B8e4NCa0Gg0SiFjG4nq+S0/bHWn9GjR1s8Y713715ZsWKF4XOW5nhJL/2ZW3te3/TYsWOH5p+6vn37mtXx8PCQ3r17mx5/9913Gfr9SFW5cmUJDQ2VIUOGZEmyREQkPDxcxo8fb7Z89OjRZpdmOINSSu7evSuXLl2SkJAQGTNmjFSrVk06d+5sMVkiYp4wy0hf9evo28yKbbgr/egze+bbScuZl3llJ2lH4YjYnyjSf4/YeykPkNuQMAHskJFr1tNzFsQeZcqUkYMHD8prr72W5ZdPWPsRfeKJJyzOp5Ad2XNcrI2mSftesNaWvcfI2qUDrtpWduDIy7usvT72vB+y2+VKmd0feybrzErWRm1YmncnlaX5ZRw1h4P+8i5ro2EyIiUlRb755hvT44YNG0qNGjU0dZ577jnN5XhLlizJ8PYKFCggGzdulIoVK2qWHzp0SEaOHCmtWrWS+vXry6OPPirFihWTgIAAKViwoHh7e5sN308PT09P6d69u9nygQMHZvrztWPHDvHw8LBaPD09JSAgQCpUqCBt27aVqVOnyvnz5222rf88ZaSv+u9d/XdtVmzDXem/q9K7X+5wmbAj6CfGtTaxfVopKSmSnJxsepyZS8KBnIyECeAmli9fbhbkWvLw4UNJTEy0+zpWa4KDg+Xdd9+1+Hy+fPlk5cqVkjdv3kxvKyvYM+TUUoIoJSVFc4Y5KirKYhuWJrJMT720E7ll5bZyGmtnbO05o5bdhilbG5Hhjvtj6Qx/YmKizTPKlv6JL1q0aKb7ldqHtJzxD8WSJUs0/zTrJ39NO9nr33//LQcOHMjwtt58803N5NUPHjyQ1157TRo1aiSfffaZ/PTTT3LkyBG5fPmy3Lx5U+7evSv37t3T/FOVESNHjpSGDRuaLX/uuedk8ODBmWrbmfQjFOz9rrW2jr7NrNiGu9KP6MqfP3+61s9uIyedoXr16maX7Fq605+ep6en5pJGRyeEgZyChAngBho2bCjPPvus4XMXL16Ut99+W2rVqiWFCxc2/QD6+PjIzJkzM7XdoKAgWbZsmc0zXnXq1JHJkydnaltZxdpcIKnKlCljuFx//bS1uSDKlStnV38s1YuNjdUEi1m5rZzG2uVxJUuWtLm+pQlWXSWz+5PdJva7fPmy4T6lzq1jjaXRMvbcwcUe+s+FM4asX758WX755RfT4549e5r67+/vLy+99JLpucxO9tqrVy/N4w8//FDWrFlj17oZnRejevXqMnHiRNPjnTt3aiYenjp1qssmKbXl7t27mu98b2/vdCcc9f+0GyVMnL0Nd6W/ZCS9lxrZ83vv7l599VXN4yNHjkh4eLhd6+ovecrJcQCQGSRMADfQvn17w+XR0dHSpEkT+eqrr+T06dNm/9Bn9kzywoULze4uopQynChz5MiRFm97m53UqVPHZp1q1aoZLtdPRHrr1i25ePFihrcjIvLYY48ZLj906JDLtpXTxMTEyM2bNw2fs3Ss00p7+9HsIDY21mICrWrVqjbXz277IyJy/Phxw+W2biuc9ta0aTlqxFRWTYqYdqLXIkWKSKtWrUREpHPnzqaz6snJybJ8+fIMb8PDw0MzuuThw4fy9ddf27Vu6dKlJSAgIN3b9PLykm+++cY0V8q9e/fkzTfflP79+5suryhQoIB88803DruzkSOlpKSYXbpjdHt5a/SXWOnvgJMV23BXd+/e1SRNChUqlK5RI+m9Lbm78fX1lSFDhmiWpb3Ezxb991l2m98KyC6y368TADOWzghv377d6sgDoyHQ9urbt6/mzGaq+fPnS9euXc2uu/b09JRly5Zl+8nm2rVrZ7POc889Z7jc6Pa9lm45/cILL2SqP3v27HHptnIaS7dUfv75522ua+/rm5VOnz5tuNzSezctSwlYV7J0R5sBAwZYXc/SvlhKLqbXtWvXNN919o7mSq+NGzdqLrvr2LGjiIh069bNtCwkJCRTdzgqWrSoZuRNRESEzcnJU3Xu3DlD2xw1apQ0aNDA9Hj8+PFy8eJF+eOPP+TLL780LW/SpIkMHz48Q9twNv2tadPzT3iePHnM5tMJDQ11yTbclf4OfPYmk/z9/XN8wmTSpEmaBNK1a9dk4cKFdq+vv1V4brmrEJBeJEwAN6AfNpkqKSnJ4jrNmzeXJ554wvA5W3dGqFSpksyaNcts+dWrV2X06NFy4MABmTdvntnz5cuX1wTB2VH79u3NgoS06tevb3HCSKMJKJctW2ZY97nnnrM4oiNVcHCw1K5d22x5cnKy4d0/snJbOc3u3bsNl7dv397sDgNpNW3a1O4RPFlp165dhstffPFFq/N3BAcHp/vsdVZYtWqV4YSOXbp0sfjPerNmzTQJhbQclQRMSEiQyMhI0+MyZco4ZSREYmKirFq1yvS4devWEhgYKM2bNzcty8xkr0bsnePK19dXRowYYbbc1qWaNWvW1NwZ58iRI/L555+bHn/wwQea+WsmT54s1atXt6tPWUn/WTOavNaSFi1aaP6hPX/+vOGt7bNiG+7qxIkTmsctW7a0a71evXrl6Lu+vPTSSzJs2DDNsilTpqRrHpK0k0mLWJ4TCsjtSJgAbsDS5QRPPfWU4TX8FSpUsDp029p1vXny5JFVq1YZTjw3cOBA05DNMWPGGJ6N6N27t7z88ssW23e1vHnzyuLFiw0nqfXx8ZG5c+carhcXF2eYMPn111/ljz/+MFtua8RNqVKlLN6Oed26dYYTYWbltnKaDRs2GC5PPeZG//wFBATYfclCVvv+++8Nl+fPn1+++uorw/0pWrSoYaIzO7h27Zps3rzZ8LnVq1fLlClTpEKFCuLt7S1lypSRESNGyNatWw2//xISEmTTpk0O69u5c+dMf3t7e0uFChUc1nZaaS/LKV26tAwdOtQ0IWNkZKRs3bo1U+1HRUVpkuxlypSxeZmNp6enLFy40HCUo7V18+TJI8uWLTNNkpucnCz9+vXT3LUkPj5eBg0aZHrs4+Mjy5Yty3Z3cVq7dq3m1tZPPvmktG3b1uZ6Hh4e8uGHH2qWWfoezoptuKtt27ZpHvft29fmSZ+iRYsa3sY6p+jZs6fZ3ENbt25N1+gSEfNLONN+1wFIQ9khJCREiQiFkuPLrVu3DD8DZcqUsbhO06ZNDdf59ddfrW5r/vz5huv169fPrG6fPn0sfj5XrFihKlWqpPLly6cqVqyoRo8ere7cuaOUUur27dvq3LlzZuuEhYWpgIAAw35NmTLF4nb0ddu1a2dY99atW6pEiRLZ8lgmJSUppZQ6ePCgatGihfL19VV+fn6qdevW6siRIxZf5ylTpljcVr169VRiYqLhehcuXFCvvfaaKlq0qOkYvfPOOyoyMtKwfmRkpCpVqlS22FZ6Pw8Z+fxkZJ3UcuHCBcN1q1WrZlh/586dhvWVUmrHjh2qadOmqmDBgiogIEB17NhRnTlzRimlVEJCguE6x44dy9B701I/OnbsmK52tm3bZnF/tmzZoho2bKgKFCiggoKCVPfu3dWlS5es7s/x48dd+pktX768io+Pt7hP9vrqq68c2q8ZM2Zo2u/evbvd6/br10+zbnBwsNX6oaGhprrR0dGmv2fMmGF1vW+//VazHV9fX8N6v/32m6aete+1gIAA9d133ymllPr999/V9u3bNeu2atXK4roffPCBpu6nn35qd9/HjRuXrtd0+/btTn9vfvTRR5ptXr9+3eL3TGr57LPPNOtERkaqwoULu2wbPj4+mrqnTp2yeuzTsvZdFxcXZ6p369Ytu1/T1q1ba7axaNEiw3r+/v7q7t27mrrz58+32G5gYKD6/ffflVJKnT17VrPehAkTMvweSPt5jIuLy1AbmX3vPvLII2rp0qVK78yZM8rPzy/d/QkJCdG088QTTzj8s0OhZOei/wxYQsKEQklTsmvCpHDhwmYBgz06deqk5s2bZ/jclStX1A8//KBmzpyp2Zfk5GSzuhERESooKMhwP/TBbqpt27Zly2M5bdq0dL+OV69etRmMDB48ON3t6iUmJqqWLVva3Les2lZOS5jUr19fPXjwIN2vlf4f5lSW/omw9J2QGc2bNzfbzuOPP25KAKbHhAkTDJdb+wcqq0r//v0z9Tr9/fffqlChQg7tU+fOnTXbSE9CJr0Jk4EDBxruV40aNayuZ2/CZMCAAZp6KSkp6ssvv1TVq1dX3t7eKjAwUD3xxBNqwoQJKiIiQin1X4KtRo0a6quvvtKsGxoaqqpUqaK8vb1VwYIFTduoXbu2Jql74cIFlT9/fot9L168uIqKijLVT0xMVHXq1LH7Nc2KhIm3t7f6448/NNuNiYlRkyZNUnXr1lW+vr4qX758qly5cqpbt25q//79ZsewQ4cOLt2GuyZMRERNnDjRbF9/+ukn1aZNG1WkSBHl7e2typcvr4YMGaKuX7+ulFLq8uXLZieb3Clh4unpqYoVK6Zq166tBgwYoDZs2GB4suTgwYOqdOnS6e6Lh4eHun37tqmde/fuqTx58jj9s0ShZKdCwoRCyUDJrgkTEVFvvfWWXR/qVJMnT1Yiop599lmr9VL76efnZzoDrffKK69Y3I9ixYppfnTTGjRoULY7lsWKFTMMNC2JiYmxGrynLT179rQ4+sOWmzdvqqZNm9q9f1mxrZyWMMnI5+i7775TderUMXzO1QkTEfN/gG1ZtmyZKl++vOFzFy5ccNnnNW0ZMmRIhl6jv//+W1WqVMnh/SlcuLAm0Xbu3Dm7101vwsTPz89slM2hQ4dsbsfehEnevHnN/im3JiUlRfXs2VOJiOrYsaPFemPGjFEiovLkyaOOHj2qee65556z2f++fftq1jl27Jjy9va26zXNioSJiKjSpUurEydO2P3apUpOTrb7t9CZ23DnhEn+/PnVgQMH7H497t27p5o0aaK6deumWW4tYbJy5Uq727elc+fOdr13M+Phw4dqzpw5Km/evBl6Pzdo0EDT3ubN9R2ajgAAIABJREFUm7Pkc0ShZKdib8KEOUwANzF37lwZPXq0JCcnW613//59eeONN0zXNe/evduuST3nzp1rNgGYiMimTZtk7dq1FteLjIy0eHeDGTNmSJUqVWxuO6u1atXK6j6lOn78uDRu3NjiLU/1VqxYIU888YT8+OOPdvclKSlJ5syZI7Vr15bffvvN7vWycls5ydy5c6Vv375y7949q/WUUjJ79mx57bXXLE5uqXR3inK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vMpcvXzYf16lTJ4t6+2AyLwgZGxsrW7ZssZo3c8DkpZdekjx58jxw+5nrsBWseVAXL17UbOn67LPPOlQuf/78mi+ZthazdWSdB31A5fbt2w71I6uUKlXK4tyQIUOkffv2snTpUrl06ZJT9V24cEHOnj1rcb5z586aNWr0fH195fnnn7c4v3fv3mx9HTgj8xo/mVWvXt3wvD5YYi9/XFyc031KT083rwVkNL5KKUlMTDQs6+3tLYsWLbJYs6VPnz4WWzyHh4cbbs8MAHj8EDABAGhk3vHm5ZdfloCAAKt53d3dpVevXubj+fPnGy58eerUKc1xaGhoFvT0wYWFhWkCAtZ2yzl27JgcOXLEfNytWzeb9V69elXmzp0rr776qjRo0ECeeOIJKVy4sAQFBYm/v7/4+PiIh4eHHD16NGsuxI4zZ85ojp988kmHy1asWNH8s62dS4yCEXr6HVmUAzv1ZCWj4J9SSlavXi2dO3eWEiVKSEhIiERERMj06dPl6NGjNvu4f/9+w/OOLMZrFEi4c+eOxe+Kq1i7A8naXURPPPGEU/ltLZAbExMj06dPlxdeeEHKli0refPmFZPJJJ6enuLj4yP+/v5WAzq2nq+wsDD56KOPNOf0i1X7+vrKwoULxd3d3Wo9AIDHBwETAIDZli1bNFunGt1Or9e7d28xmUwi8u8Xne+//94ij/6/yTlpi87Md5lYm5azbNky88+hoaHSqFEjw7pSUlLkrbfektDQUOndu7fMmzdPduzYIadOnZJr165JXFycJCUlSUpKSpZvlWxL5h14RESCgoIcLpv5uUpISLCaz9/f3/mOPWRt2rSRrl272sxz+fJlWbFihQwePFgqV64soaGhMnLkSMPpQ9a2Ji5WrJjdvhQpUsTwvK1teR+mggULGp63NpXOWhDU3tQ7vS+//FLKlCkjgwcPljVr1siZM2es3jVyP4YPHy4NGjSw+vjkyZOlfPnyWdYeAODRRsAEAGA2c+ZMzXH9+vXFZDLZTKVLl9b8VzfzHSr36P+Lm5P+e9u5c2dNwMdoTYvM03G6detmzp9ZSkqKPPvsszJ16lSHtlh+mPRTX5yZTpQ5b0ZGRo67NmctWLBARo4caXG3izUXL16UcePGSfny5eW3337TPGYtgOTI+FrLYyso9TBlXrsmM6PXvojl3UP28huZMGGCvPHGG9k6Bm5ubpot0TPz9/eX7t27Z1vbAIBHDwETAICI/DuNZPXq1Q9cz6+//ipRUVGac76+vprjnPJfdJF//zOeeXFL/bScgwcPahaztTYdZ+TIkbJz507zsaenp/To0UOWLVsm+/btkzNnzkhsbKwkJCTInTt3JD093WIRyuyiv/vDmbVDMuf18PBwONCQU7m5ucmYMWPkzJkzMm7cOKlbt654eHjYLRcTEyNt2rSR48ePm89Zm66WlJRktz5reXLS3VcP04kTJ2TUqFF2892bmnO/r8OrV6/Ku+++a/hYYmKiDBky5L7qBQDkTgRMAAAiIjJnzhzDXUScpZSyWPw1MDBQc5zdO8I4K/O0nB9++EEzXSbz3SXh4eGGt+snJydrrjkoKEj27Nkj8+fPl5dffllq1KghpUuX1qxh4u7u/tCm5ejH35mAVeapKLnpy3yxYsXk/fffl507d8qNGzckMjJSxowZI88//7zVaSRJSUmaL/XWpq04snhs5kWQM7NWZ243f/58w+lwTz75pCxZskTOnTsnt2/floyMDElNTb3v4G6vXr2sTqUSEZk7d65mlzAAwOONgAkAQDIyMjRf+J999llRSjmVXn75ZXN5/eKv+iCDs7uRZLeIiAjzFITr169rpl5899135p+t3a5/+PBhzTotI0aMsLo7yD2pqaly8eLFB+m2w8qWLas5Pnz4sMNlMy92W65cuSzrU04SEBAgLVu2lJEjR8ratWvl+vXrsmnTJsPFW9evX2/++emnnzas748//rDbplGeoKAgKVOmjBM9zz12795tcS5//vyyY8cOeeWVVyQ0NFQzjenatWtOtzFt2jTN9toiImXKlLGYNtSvX78c9x4FAHANAiYAAPnpp580O6D07t3b6Toyrwtw/fp1+eGHH8zHBQoU0Gw/vHXr1vvraDbJnz+/tGrVyny8Zs0aERHZs2ePedtYLy8v6dSpk2H5K1euaI4d2TZ5zZo1Dk3dyApFixaVkJAQ8/HmzZsdKnflyhXNIsC1atXK8r7lRG5ubtK0aVP55ZdfDKcz3VtEt2TJkoa7Ay1ZssTm9sCxsbGyYcMGi/ONGjVyas0PR93bJjwnM7rro0qVKhZ3R92zZMkSw/MZGRmG548dOybDhw/XnPPw8JDvv/9eBgwYoDl/8+ZN6dq1q9W6AACPDwImAADNYq+BgYHSoUMHp+to2rSplCxZ0nysX/z1hRdeMP+8Y8cO+euvv2zWd/DgQfHx8ZHChQtL+fLlZe3atYb5smpaS+ZpOevWrRMRkVWrVpnPtW7d2upUDTc37cepvUUr4+Li5L333tOcc+RL7YNca+vWrc0/79+/X3bt2mW3zNdff6350pg5qPSo+eOPP2TcuHHSo0cPqV+/vhQqVEgWLFhgs4y/v7/FOiXu7u7i5+dnPu7Xr59FuTNnzsjYsWMN68zIyJCBAwcariPz2muvOXIpNhkFXB7W9tUPwmgR3PPnzxtuEzxr1iz56aefDOvR78gl8u/dXJ07d5Y7d+5ozg8fPlyqVasmEydO1AQURUR+++03+eSTT5y5BABALkTABAAec5cuXdJMM+jSpYv4+Pg4XY+bm5v06NHDfLx161bN4q+Ztx9WSknPnj2tbheampoqH3zwgaSkpMi1a9fkzJkzUq1aNRGx3GEnq6a1tG3b1vzl+PTp03Lq1ClNkMbW7hmlS5fWHNtaAyE6OlpatmwpsbGxUrt2bfP5zHf43JOV1zp48GDNce/evW2uJbNz5075+OOPzcelS5eWli1b3nf7rnbx4kUZOXKkLFy4UHbu3CnXr1+XgQMHyoQJE+Tw4cOSlJQkd+/eNb/mtmzZIp07d5bo6GhNPTVq1NAsEjtgwAApUKCARXtjxoyRPn36yKFDhyQlJUXi4uJk06ZN0qxZM826OPfUrFkzS8bX6Hd3/vz5snr1aklKSpK4uDir66e4ktHaQOfOnZPXX39dLl++LCkpKfLnn39K//79zXeEGAWHjO7cGTFihBw6dEhzrmLFivLhhx+KiEjevHllxowZFuVGjRole/fuva/rAQDkEgo2hYeHKxGxmfLmzevqbgLAffvwww8172kHDhy477rOnDmjTCaTua533nlH83j37t01bVWoUEEtXrxYXblyRaWkpKgLFy6oZcuWqdq1a2vy9ejRQ1OPv7+/+bEiRYqonTt3quTkZHXt2jV1/vx5c77Zs2dr6rlz547N/vfs2dOcd+jQoeaf8+fPr1JSUqyWy8jIUCEhIZq2Bg0apI4eParu3LmjYmNj1a5du9Tw4cPNfZ8xY4YaMGCAOb/JZFJLlixRd+7cUfHx8U5dq6PX2bdvX02+0NBQ9c0336jz58+r1NRUFR8fr/bu3auGDx+u8uTJo8m7du1aTV1r167VPH727FmbY2tU5vjx4xZ5pkyZoskTGRlpt15HpKWlqcqVK9v9TLeXli9fblF3ZGSk5nXvbMqbN686efKkYb9XrFhhWMaaRo0a2W3v/fff1/TdKM/169cN64+KijLMf/jwYcP8CQkJhvk3bdqkybdkyRKnxuzJJ59U77zzjsV5T09P9cwzz6g2bdoopZTavHmzxXNjMpnU9u3bLfr68ssvW9RXrlw5lZCQYHW8ASCnO3LkiNX30vDwcFd3L8cjYGIHARMAuVl6eroqXry4+f0sLCzsgets0qSJub6CBQtqAg23bt1StWrVcuqL0VNPPaViY2M1bTRt2tRq/qFDh5rzORsw2bRpkzmvt7e3+ecBAwbYve4ZM2Y4fE0RERHq7t27asGCBYaPv/DCC05dq6PXmZiY6NDnmj6NHDnSoq5HLWCilFKHDh1S+fPnd/r676XBgwdbrXvBggXKy8vL6ToLFixo+OX9HmcDJv/73//stpkTAyZpaWmqatWqDo1ZQECAOnTokNq6davVPPny5VM3btzQvL/Zex6vXr1q+PqJj2CrAAAgAElEQVTo1auX1fEGgJyOgMmDYUoOADzG1qxZo7k9v0+fPg9cp37x18zbfwYEBMjPP/8sXbt2daiuDh06yK+//ipBQUGa8yNGjLBYNyQrPPvss1K0aFEREUlJSTGftzUd557+/fvLoEGD7Obr1auXLFmyRNzc3OTFF1/ULIZrJCuv1c/PT7Zu3So9e/Z0qM4CBQrI3LlzZcyYMVnSvqtVrVpVdu3aJQ0aNHCqXOHChWX27Nny5ZdfWs3TvXt3+f3336VevXoO1WkymSQiIkL27t0r9evXd6o/tgwcOFAz1etR4eHhIatXr5aKFSvazFe6dGnZuXOnVK1aVRo3bmxzXZ1+/fpZTD8KDQ3VTDXLrFChQvLZZ59ZnJ83b56sWLHCgasAAOQ2BEwA4DE2a9Ys888+Pj7SuXPnB67zxRdflHz58pmP9Yu/BgYGyrfffit//PGHvP322xIWFiaFChUST09PCQwMlKpVq8qgQYNk7969smrVKsP1IZo0aSKRkZHSoEED8fX1FS8vLylcuLA0btxYGjZseN99d3Nzs9gJ54knnnBo1xuRf7ct/fnnn6Vjx44SEhIiXl5e4uPjI2XLlpXu3bvLtm3bZO7cuea1Sfz8/GTTpk3SvHlz8fPzE29vbylVqpSEh4dn27XmyZNH5s2bJ4cOHZJ3331X6tSpI4ULFxZPT0/JmzevlC5dWtq3by8zZsyQs2fPSq9evZxuIycrX768/P7777Jr1y559913pXHjxhIaGir+/v7i7u4u3t7eUrBgQalZs6b07t1bVq5cKefOnXMomFi7dm3ZsWOH/PrrrzJs2DCpVauWFCtWTLy9vcXf319KlSo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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 25 + } + ] + }, + { + "cell_type": "code", + "source": [ + "X = df.iloc[:, :-2].values\n", + "y = df['Label'].values\n", + "accuracies = []\n", + "skf = StratifiedKFold(n_splits=5, shuffle=True, random_state=42)\n", + "for fold, (train_idx, val_idx) in enumerate(skf.split(X, y), 1):\n", + " print(f\"\\nFold {fold}\")\n", + "\n", + " # Split data\n", + " X_train, X_val = X[train_idx], X[val_idx]\n", + " y_train, y_val = y[train_idx], y[val_idx]\n", + "\n", + " # Convert to tf.data.Dataset\n", + " train_ds = tf.data.Dataset.from_tensor_slices((X_train, y_train))\n", + " val_ds = tf.data.Dataset.from_tensor_slices((X_val, y_val))\n", + "\n", + " # Shuffle, batch, cache, prefetch\n", + " train_ds = train_ds.shuffle(buffer_size=len(X_train), seed=42) \\\n", + " .batch(12) \\\n", + " .cache() \\\n", + " .prefetch(tf.data.AUTOTUNE)\n", + "\n", + " val_ds = val_ds.batch(12).cache().prefetch(tf.data.AUTOTUNE)\n", + "\n", + " model = build_model()\n", + " hist = model.fit(train_ds, epochs=100, validation_data=val_ds, callbacks=callbacks)\n", + "\n", + " plt.figure(figsize=(12, 5))\n", + " # Plot untuk accuracy dan val_accuracy\n", + " plt.title(\"Accuracy and Val Accuracy\")\n", + " plt.plot(hist.history['accuracy'], label='Train', color='red') # Gunakan label, bukan labels\n", + " plt.plot(hist.history['val_accuracy'], label='Val', color='green') # Gunakan label, bukan labels\n", + " plt.legend() # Panggil legend setelah semua plot ditambahkan\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Accuracy')\n", + " plt.show()\n", + "\n", + " # Evaluate\n", + " loss, acc = model.evaluate(val_ds, verbose=0)\n", + " print(f\"Accuracy Fold {fold}: {acc:.4f}\")\n", + "\n", + " accuracies.append(acc)\n", + "\n", + "print(f\"\\nAverage Accuracy: {np.mean(accuracies):.4f}\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "o0odzw74mCAD", + "outputId": "b0f9fa49-62a5-4cc5-9075-136406ab371c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Fold 1\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 60ms/step - accuracy: 0.2922 - loss: 2.0723 - val_accuracy: 0.4000 - val_loss: 1.9117 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4367 - loss: 1.7634 - val_accuracy: 0.4000 - val_loss: 1.6736 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3976 - loss: 1.6149 - val_accuracy: 0.4000 - val_loss: 1.5597 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3976 - loss: 1.5534 - val_accuracy: 0.4000 - val_loss: 1.5042 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3976 - loss: 1.5221 - val_accuracy: 0.3333 - val_loss: 1.4685 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3260 - loss: 1.4999 - val_accuracy: 0.2667 - val_loss: 1.4418 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2366 - loss: 1.4806 - val_accuracy: 0.3000 - val_loss: 1.4195 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2953 - loss: 1.4626 - val_accuracy: 0.4333 - val_loss: 1.3998 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3604 - loss: 1.4451 - val_accuracy: 0.4333 - val_loss: 1.3817 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4062 - loss: 1.4269 - val_accuracy: 0.5333 - val_loss: 1.3643 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5027 - loss: 1.4083 - val_accuracy: 0.5667 - val_loss: 1.3473 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4499 - loss: 1.3897 - val_accuracy: 0.4667 - val_loss: 1.3313 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4617 - loss: 1.3720 - val_accuracy: 0.4667 - val_loss: 1.3166 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4676 - loss: 1.3541 - val_accuracy: 0.5000 - val_loss: 1.3012 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4830 - loss: 1.3345 - val_accuracy: 0.5333 - val_loss: 1.2869 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5006 - loss: 1.3161 - val_accuracy: 0.5667 - val_loss: 1.2650 - 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 1: 0.9667\n", + "\n", + "Fold 2\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 57ms/step - accuracy: 0.1229 - loss: 1.8671 - val_accuracy: 0.2000 - val_loss: 1.6089 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.1922 - loss: 1.5817 - val_accuracy: 0.3000 - val_loss: 1.4846 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2771 - loss: 1.4975 - val_accuracy: 0.4667 - val_loss: 1.4310 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3786 - loss: 1.4481 - val_accuracy: 0.4667 - val_loss: 1.3943 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4393 - loss: 1.4028 - val_accuracy: 0.4333 - val_loss: 1.3636 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4493 - loss: 1.3698 - val_accuracy: 0.5000 - val_loss: 1.3312 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4723 - loss: 1.3425 - val_accuracy: 0.4333 - val_loss: 1.3070 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4493 - loss: 1.3155 - val_accuracy: 0.4333 - val_loss: 1.2809 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4493 - loss: 1.2880 - val_accuracy: 0.5000 - val_loss: 1.2593 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4493 - loss: 1.2634 - val_accuracy: 0.5000 - val_loss: 1.2378 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4670 - loss: 1.2399 - val_accuracy: 0.5667 - val_loss: 1.2209 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5279 - loss: 1.2183 - val_accuracy: 0.5000 - val_loss: 1.2025 - 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 2: 0.9333\n", + "\n", + "Fold 3\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 57ms/step - accuracy: 0.2381 - loss: 1.6687 - val_accuracy: 0.2000 - val_loss: 1.5969 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2787 - loss: 1.5598 - val_accuracy: 0.3333 - val_loss: 1.5506 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3224 - loss: 1.5302 - val_accuracy: 0.2667 - val_loss: 1.5245 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.2348 - loss: 1.5111 - val_accuracy: 0.3000 - val_loss: 1.4977 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2574 - loss: 1.4875 - val_accuracy: 0.4000 - val_loss: 1.4709 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3519 - loss: 1.4618 - val_accuracy: 0.4667 - val_loss: 1.4477 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4207 - loss: 1.4381 - val_accuracy: 0.4667 - val_loss: 1.4228 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4207 - loss: 1.4145 - val_accuracy: 0.4667 - val_loss: 1.4019 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4207 - loss: 1.3930 - val_accuracy: 0.4667 - val_loss: 1.3811 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3800 - loss: 1.3736 - val_accuracy: 0.4667 - val_loss: 1.3613 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3872 - loss: 1.3530 - val_accuracy: 0.4667 - val_loss: 1.3435 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3943 - loss: 1.3340 - val_accuracy: 0.4667 - val_loss: 1.3175 - 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 3: 0.9333\n", + "\n", + "Fold 4\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 58ms/step - accuracy: 0.2381 - loss: 1.7027 - val_accuracy: 0.2000 - val_loss: 1.6279 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3094 - loss: 1.5757 - val_accuracy: 0.2667 - val_loss: 1.5569 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3720 - loss: 1.5237 - val_accuracy: 0.4333 - val_loss: 1.5255 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4240 - loss: 1.4880 - val_accuracy: 0.4000 - val_loss: 1.4992 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4240 - loss: 1.4523 - val_accuracy: 0.4000 - val_loss: 1.4833 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4273 - loss: 1.4281 - val_accuracy: 0.4000 - val_loss: 1.4681 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4416 - loss: 1.4024 - val_accuracy: 0.4333 - val_loss: 1.4519 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4742 - loss: 1.3824 - val_accuracy: 0.4333 - val_loss: 1.4339 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4832 - loss: 1.3603 - val_accuracy: 0.4333 - val_loss: 1.4194 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4832 - loss: 1.3395 - val_accuracy: 0.4333 - val_loss: 1.4052 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4832 - loss: 1.3166 - val_accuracy: 0.4333 - val_loss: 1.3917 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4832 - loss: 1.2969 - val_accuracy: 0.4333 - val_loss: 1.3760 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4832 - loss: 1.2732 - val_accuracy: 0.4333 - val_loss: 1.3642 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4832 - loss: 1.2540 - val_accuracy: 0.4333 - val_loss: 1.3486 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4832 - loss: 1.2324 - val_accuracy: 0.4333 - val_loss: 1.3345 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4832 - loss: 1.2111 - val_accuracy: 0.4333 - val_loss: 1.3191 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4832 - loss: 1.1917 - val_accuracy: 0.4333 - val_loss: 1.3036 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4948 - loss: 1.1707 - val_accuracy: 0.4333 - val_loss: 1.2894 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4981 - loss: 1.1521 - val_accuracy: 0.4333 - val_loss: 1.2745 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5135 - loss: 1.1323 - val_accuracy: 0.4667 - val_loss: 1.2566 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 4: 1.0000\n", + "\n", + "Fold 5\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 56ms/step - accuracy: 0.2381 - loss: 2.8718 - val_accuracy: 0.2000 - val_loss: 2.2220 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2381 - loss: 2.0198 - val_accuracy: 0.2000 - val_loss: 1.7186 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2453 - loss: 1.6595 - val_accuracy: 0.3000 - val_loss: 1.5217 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4243 - loss: 1.5506 - val_accuracy: 0.3667 - val_loss: 1.4919 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3874 - loss: 1.5526 - val_accuracy: 0.3333 - val_loss: 1.4863 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2990 - loss: 1.5517 - val_accuracy: 0.3333 - val_loss: 1.4709 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2990 - loss: 1.5340 - val_accuracy: 0.3333 - val_loss: 1.4541 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2990 - loss: 1.5138 - val_accuracy: 0.3333 - val_loss: 1.4399 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2990 - loss: 1.4968 - val_accuracy: 0.3333 - val_loss: 1.4265 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.2990 - loss: 1.4827 - val_accuracy: 0.3333 - val_loss: 1.4138 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2990 - loss: 1.4705 - val_accuracy: 0.3333 - val_loss: 1.4015 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3196 - loss: 1.4580 - val_accuracy: 0.3333 - val_loss: 1.3891 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3476 - loss: 1.4450 - val_accuracy: 0.3333 - val_loss: 1.3765 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3476 - loss: 1.4326 - val_accuracy: 0.3667 - val_loss: 1.3641 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3629 - loss: 1.4197 - val_accuracy: 0.3667 - val_loss: 1.3515 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3629 - loss: 1.4079 - val_accuracy: 0.3667 - val_loss: 1.3393 - learning_rate: 0.0010\n", + "Epoch 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 5: 0.9333\n", + "\n", + "Average Accuracy: 0.9533\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Visualisasi akurasi tiap fold\n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(range(1, len(accuracies) + 1), accuracies, marker='o', linestyle='-', color='blue', label='Fold Accuracy')\n", + "plt.axhline(np.mean(accuracies), color='red', linestyle='--', label=f'Average Accuracy: {np.mean(accuracies):.4f}')\n", + "plt.title(\"Validation Accuracy per Fold\")\n", + "plt.xlabel(\"Fold\")\n", + "plt.ylabel(\"Accuracy\")\n", + "plt.xticks(range(1, len(accuracies) + 1))\n", + "plt.legend()\n", + "plt.grid(True)\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 485 + }, + "id": "IFMMmT68OwYL", + "outputId": "f29a0c93-f22d-401b-d1f4-af0bbc88c5f4" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Modelling tanpa Maxpooling" + ], + "metadata": { + "id": "7_4Xw4XpKzR6" + } + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras.utils import plot_model\n", + "\n", + "def build_model():\n", + " model = Sequential()\n", + "\n", + " # Input layer\n", + " model.add(Input(shape=(18, 1)))\n", + " model.add(Conv1D(\n", + " filters=16, #\n", + " kernel_size=2,\n", + " activation='relu',\n", + " kernel_regularizer=l2(0.001) # Nilai tetap untuk L2 regularization\n", + " ))\n", + " model.add(Flatten())\n", + " model.add(Dense(\n", + " units=16,\n", + " activation='relu',\n", + " kernel_regularizer=l2(0.001) # Nilai tetap untuk L2 regularization\n", + " ))\n", + " # model.add(Dropout(0.4)) # Nilai tetap untuk dropout\n", + "\n", + " # Output layer\n", + " model.add(Dense(len(classes), activation='softmax'))\n", + "\n", + " # Optimizer dengan nilai tetap\n", + " optimizer = tf.keras.optimizers.Adam(learning_rate=0.001)\n", + "\n", + " # Compile model\n", + " model.compile(\n", + " optimizer=optimizer,\n", + " loss=tf.keras.losses.SparseCategoricalCrossentropy(),\n", + " metrics=['accuracy']\n", + " )\n", + "\n", + " return model\n", + "\n", + "callbacks = [tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True),\n", + " tf.keras.callbacks.ReduceLROnPlateau(monitor=\"val_loss\",\n", + " patience=5,\n", + " verbose=1)]\n", + "\n", + "early_model = build_model()\n", + "# Plot and save the model architecture\n", + "plot_model(early_model, to_file=\"early_model_plot.png\", show_shapes=True, show_layer_names=True, show_layer_activations=True)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "fuw_Kz64K1O5", + "outputId": "223c3466-2c1d-424f-9180-577fee190125" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "image/png": 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2o9g6derksI7FYtG8p6elpZm6yxNBEERZChImBEEQRRReXl6aOeL5ffDBB4Z1HI3UMJrCIiJq3759huX37dtnOKpCRFSlSpXsDpPfu3ev3XPKv8jlNXl5edYvO/v27VO9e/dWQUFBKigoSPXu3VsdPXrU7t+NTZs22RyjXLlyNnd+uMbZnRw2btxoWK8g02jckTCxt4CpUv/eiceoToUKFexOK1KqdCVMQkND1YULFwzPw2idjdq1axuWjY6OdnqsKVOmGNZ9/fXX3X5e7733nuYYI0aMcFrnxRdf1NTZunVrsT4XQUFBKjU1VdMHs6Nv1q1bp6k3ffp0u2X1719ZWVmqVatWTo/x888/O72mXl5emtdTTk6O3RFi+aNmzZqa38N//vmnwNexpCZMRGyTQmZG4GzYsEFTp02bNsX6uiQIgijpYTZh4iUAAJf069dP6tevb7P/ypUr8vLLLxvWiYqKkg8++MDwsXHjxtnsu+OOO+SWW26x2Z+TkyPDhg2TxMREw7YSExNlzJgxopSyeaxNmzbSsWNHw3pGLBaLWCwW2bx5s3Tu3FnWr18vSUlJkpSUJOvXr5fbbrtNzp8/b1i3TZs2Nvtyc3NlxYoVhuXvvvtuu/2oWLGidO/e3Wb/1atXZf369eZOxs0GDhwoFovFZn9qaqpMnjzZsE5KSoqMHz++qLtW5AIDA2XVqlVSo0YNm8fS09Plww8/tNkfEhJi2FZCQoLT4yUlJRnut9dmYXTo0EGzvXPnTqd1ateurdk+cOCAW/vkzP333y8BAQHW7S1btsjPP/9squ7bb7+t2R4+fLh4eZn7aLhs2TI5ePCg03K//PKLZrtx48Y2ZfLy8uSbb76xbpcrV0769+/vtO1BgwZpfg+/+uorp3VKo5MnT2q269Wr57SO/rXryns/AOD/kDABABcNHjzYcP+KFSskPT3dbr21a9dKVlaWxMfHy5kzZ+TIkSOyc+dOycnJsSk7evRowzYiIyPl77//dti//fv3y/bt2w0fu//++x3W1UtLS5NRo0ZJZmamzWNXrlyRd955x7BecHCwVKlSxWb/119/bVi+T58+dvsQEREhvr6+NvtXrFghWVlZdusVpV69ehnuX7NmjVy5csVuvf3795v6El5SVaxYUdatWyddunQxfPyNN96Q06dP2+yvUKGCYXkzz5+93yl7bRZGkyZNrD9nZ2dLVFSU0zr6xI2j578o9OjRQ7OdP/HgzI4dOyQmJsa6Xb16dcOEhpGlS5eaKnfq1CnNdqVKlUy1N3DgQKdt69+Lr9eESVxcnGY7ODjYaZ1//vlHs232eQUAaJEwAQAX2fuyuHXrVof19uzZI35+fhISEiJ169aV5s2bS+fOnQ2/GHTr1s2wDbMjKjZu3Gi439X/Mn7zzTd2R5GIiKxbt87uY0ZfjHbs2CFnz5612X/rrbcaJlhE/h3RY8STX46aN29uuH/z5s1O60ZGRrq7O8WiRo0a8uuvvxqO9hH5NyGoH7FwjY+Pj+H+7Oxsp8fNzc013G+URCsMf39/qV69unX7/PnzkpeX57Se/svr1atX3dovZ9q2bavZ3rVrl+m6SimbETGtW7c2VfePP/4wVS4lJUWznX80TH67du2SEydOWLfvuOMOu+8JIiK1atWSzp07W7d37NhhKsFVGumTcPauYX76RFWdOnXc2icAKCtImACAC6pXr24zBP+a48ePu+UY1apVk7p16xo+dujQIVNtHD161HD/LbfcYjiVxJ4NGzY4fPzcuXN2v1T6+fnZ7FNKyfLly232e3t7y1133WW4PyIiwmb/mTNnZNu2bQ77VlQCAwMlLCzM8DH9f3WNFPeUDXdo37697Nmzx3CamMi/ycJhw4YZTgUTEZdec54SFham6ee5c+dM1dMndOwlh4qCt7e3zfRAZyPQ9I4dO6bZbtiwodM6WVlZphND+lFEjl4L+Ueg+fj4yD333GO3rH46zpdffmmqP6WRPkFiJtF45swZzba9v1sAAMdImACAC/L/B1ov/9D2wrjhhhvsPhYdHW2qjQsXLhju9/Pzk4oVK5ruy19//eXw8by8PJvh4tfY+2Jkb1qO0Tom3bp1M/wv89KlS+1+OS9qjv7rbeY14K7XSXEZNGiQbN26VWrWrGn4eGRkpERERNiMJMjP3tQbM6NEjBJvjtosqKCgIM22vbVT9PT//TczXcJdKlWqpPk9y8rKktTUVJfa0K+HZG/KTH7JyckuHcOsJUuWaLYdTcvJPx0nKyvLpalIpY1+2peZ668v48r7PgDg/5AwAQAXOPqy7Gj9Elc4+sJl9suQo3KOzkHP3uKy+bn65Wn//v02/9UWEQkPD5dy5cpp9tmbjqP/YlWcHH3xSEtLc1q/qL5sFoXnn39eli9fLv7+/oaPf/jhh9K3b1+n520v+VCYhInZhIZZ+v/im3kuRWwTJo4Snu6mT/I4SlrZo6+jb7M4HTt2TPbv32/d7tWrl+HvW+3atTXTC9evXy/x8fHF0kdPCA0N1WybGf2k/xtgZhoPAMAWCRMAcIG3t7fdx/Rf9gvK0cgJs1MbHN3pwsy6DNfYWz+isJYtW2azLyQkRDp16qTZ17dvX5tyBw4ckCNHjhRJv8xw9ByYGfXirtdJUSpXrpwsWrRI3n77bbt3Axo2bJg89dRTpl4j9kYhmRmNYe9uOLGxsU7rukKfmDFa6NiIfhqW/jVclPSvt4JMfdK/V7jy/lAU8i/+6ufnZzjybPDgwWXi7jjX3HrrrZpto4SzXl5enmZBcXuJRwCAYyRMAMAFjubtu+s/eI7+U2r2ziCOyhX3XTyMmLlbTsuWLQ1vn+nJ0SUijkeImHkNlPSh8d7e3rJs2TIZM2aM4eP//POPdOzY0e5zaCQmJsZwCk1ISIjTL/n2psHp12goLH2CxOwXzN9++02z3bRpU6latarb+uWIfgRYQe4cpK9jZlRZUfr66681SRujaTmDBg2y/pyQkOBw8enSrmnTpjajln7//Xen9by8vDQJfrMJQACAFgkTAHCBo2SDvYVAXeVojYsbb7zRVBv2yiUnJ5uealCUjh07Zrj4af7/JhtNx8nLy3Ppi3pRSEhIsPtYjRo1nNYvyYsvenl5yZIlS+yuHbF27Vpp3769yyN88vLy5OTJkzb7vb29DZNi+d10002G+52tr+Mq/e+F2QTon3/+qUkyWCwWGTVqlNv69eqrr8rChQsNf6cTExM1o0x8fHxcTsjpp+h5OmESHR2tSUKFh4drnosbb7xRMx1nxYoV13UyQH8r+L1798rFixed1gsMDNRsl4T3fQAojUiYAIALzp07ZzdpYu+Lnavi4uLs3h6zVatWptpo2bKl4f6dO3cWuF/uZpT4aNGihfWLodEdMrZs2WJ64duikpycbDep1aRJE6f17d1ppiSYPn26ZjHN/D744APp169fgdcO2b17t+F+R9fDx8fH8LWcmZnp9rsNFXSRzLy8PJspZo899phbpl7VqFFDnnnmGRk3bpwcP35cPvroI80Umry8PJu7czVr1sylY9x8882abVfvslMU8k/LCQgI0NwpS//6vJ7vjlOhQgWZNGmSZt/nn39uqq7+9Vua1k4CgJKEhAkAuMhe0qFHjx4O6wUGBkpKSookJCTI+fPn5dixY7Jv3z757bffbNZy2Lp1q2EbRvP5jeSf2pLfr7/+aqp+cVi2bJnhmh99+vSRsLAwadu2rc1jJWWtAnsjLJy9BkSM12UpCUaOHCmTJ082fOzll1+WZ555plB3Jvr5558N9/fv399unV69ehlOM9m6davbRxWcP39ec35mR3OJ/Lv4bf66devWlRdeeKHQfZo9e7b1/H19faV27do2a4zs2rVLs51/9IUz3t7e0rp1a80+e4mt4rRixQrNFK78o82GDBli/dmTtxcvDlOnTtWMADp//rwsWLDAVN06depots3eJhsAoKNMiIyMVCJCEARBiKgxY8YYvlempqaqkJAQu/UGDBhgWO/cuXM2Zbt3725YNjc3V7Vs2dJh/3r27GlYNzs7W914442GdeLi4gzr1KpVy+n1OHHihGHdm266yWnd7du329Rbt26deuSRR2z2p6enq6CgoEI/fz/99JNhf/v372+6jRdeeMGwjbS0NFWtWjWXnxullDpw4IDHXtMNGzZUycnJhv2aN2+eW44RHBysMjIybNrPzMw0fK2UK1dO/fHHH4Z9Gj9+fJFch5iYGOsxsrKylJeXl+m6y5cv1/QxKytLde7cucB9eeqppzTtpaenq8aNG9uUGz16tKbcrl27TB8jIiJCU/eff/6xWzYlJcVaLi4uzvQxwsPDNcdYuHChqXpr1qyx1rl8+bKyWCzqxhtv1LT1xhtvuO25T0hIsLabkpJSoDbGjx+v6d+GDRsK3J97773X5nX/0EMPma5///33a+p++OGHbrtWBEEQ10NERkbavM8aIWFCEAThYvj7+6vY2FjD98slS5YY1qlcubI6deqUYZ3XXnvNsM7u3bsNy+/fv99u4qBmzZoqKirKsN7SpUvtnpOnEiaTJk2yqZeWlqa2bNlis/+bb75xy/PnjoRJkyZNDNtQSqlly5Ypi8ViU6datWrq+PHjdut5MmGybt06wz5duHBBVahQwW3H+eKLLwyPc+7cOXXfffepKlWqqPLly6sOHTqoDRs2GJaNj49XgYGBRXIdtm7dqjlWw4YNTdcNCQlR58+f19RPSkpSPXr0cLkfDz74oMrNzdW09dhjjxmWLV++vIqPj9eU7d27t9NjWCwWtWPHDk29Z555xm754k6YDB06VFOvTZs26tFHH9XsM/MeYzZKUsJk5MiRNsnFdevWuZTAmzJliqb+I4884rZrRRAEcT0ECROCIIgijAkTJth9z1yzZo3q2LGjCggIUGFhYWro0KHq5MmThmVjYmLsjkpp27atyszMNKx34sQJNWzYMFWtWjXl5+enGjRooCZPnqwuX75sWP7y5cuqZs2ads/HUwm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DUrt2bencubO8/PLLMmvWLMORJ6UillEOiI6OViJic0tKSnKkKbeZM2eOpj9bt241LLdo0aLcMpUqVVJKKXXlyhXVtm1bm+fn6+urFi1aZNHe7Nmzc8tEREQopZTasWOHqlChgs32qlWrpmJiYgz7OHny5Nxy3t7eDp3/zJkzDevoXxdr2549exw6jt7OnTtVnTp1HDqGiKjevXsbvldWrlypKXf27FkVFxenmjdvbve6LF682GYfDx48qJo0aeJQ/4KCgtS8efMM23HHtb4lKytLvfXWW8rX19duHyMiItT8+fNttpf3/SAiKjo62mZ5Z3Xu3NmiX4MHDzYsO2/ePIuyH374oapevbrF/vXr11s95vTp0y3Kjxgxwmr5Xbt2qXvuucfh92a7du3Ujh07rLa3ZMkSizqtWrVSSil1+fJl1aFDB5vtV61aVe3fv9/m65qTk6Pef/99VaZMGbv9LVu2rNX3qrssX75ciYjq1KmTOnv2rOa5qlWrWvRx+vTpNts7f/684bl9++23Vuv06NHDonzLli1dcn7WuPq883ryySct6j/00EOuPoV8iY2Ntfs+jI2NLbT+nTx5Unl7e+f2pWHDhio7O7tAbb744oua85szZ47Vsq76rM7P53RRjj2IO1wXdyhVfGIPd8YdzsQcShF33NqKe9zhzs9ee4z+9m3Xrp3Kyclx2TFscce5t2rVyqLeggULXNLfohjLJCUl2X1PO/p7qtSNMPH19c39//Xr1yUzM1M6deok27dvt1kvMzNTnnnmGYvbWOb9FiYlJUXOnTsn3bp1s5uFPXv2rPTo0UOOHj2aj7MoGo4ePSqdOnWS48ePO1xnxYoV0rNnT4uVlvVMJpN06dLF7jdQmZmZMmDAADl8+LDh88eOHZOoqCjZt2+fQ/1LTU2VwYMHy9dff23xnLuudXZ2tvTo0UOmTZsmmZmZdvt4+fJlefrpp2XKlCl2y7pDenq6bN682WJ/t27dHG4jOTlZJk2aZLH/jTfeMFzPwlkLFy6Ue+65R7Zu3epwnZiYGImKipIFCxYYPu/n52ex79q1a7nXb9OmTTbbP3/+vDzwwANy+fJlw+dzcnKkb9++Mnz4cIe+Fbp27ZoMHjxY3n33XbtlXSUwMFA++ugj+fXXXyUyMrLA7VWqVMlw2oStxcL03/aIiDRo0KDAfbHF1eedl9HPzYYNG7jtpQN++OEHzdzuV1991XDKljNef/11zQKSy5YtK1B77lJaY4/SFneIEHu4IuYQIe4wUtTjDnd+9tqSnJwszz//vGaft7e3zJ492+kFhvPL1eeelpamGfF3S6dOnQrctkjJj2VKXcLEbDbn/j89PV2mTp0qe/fuldtvv10WLVokcXFxkpWVJQkJCbJq1Sq58847c8tnZGTIhx9+qGkvb3CWkZEhb731lly5ckXatm0rP/30k1y8eFEyMzPl4sWLsmTJEqlTp05u+StXruT77hCOeuGFF0QpZTGPbM6cOZpFjZo3b+5022+//XbuEElfX18ZNWqU7NmzR65cuSLZ2dmSnJwsx48fl8WLF2uGQm7atEmWL19us+3p06fL/v37pX79+vLNN9/IhQsXJDMzU/7991/54YcfpFGjRrlls7Oz5f333zdsZ8iQIZphpN27d5eVK1fK+fPnJSMjQ1JTU+XPP/+U1157TTMU+4033rAYzuquaz1q1CjNnMC6devK559/LocPH5bU1FRJSUmRAwcOyOTJkyUiIkJTb8OGDTZfR3eIiYmxGKbu7e0tHTt2dLiNK1euSP/+/S3edwcOHDCcp+yMNWvWyMCBAx0KAPWysrLkqaeekt9++83iubzJ1luuXbsm06dPlx07djjU/qVLl2T8+PGGz7355puGi4vZM27cOPnxxx+drpcf3bp1k1deecVlAYOXl5f07t3bYv+3335rGMCeOHHC8I+Zvn37uqQ/1rj6vPPq1KmTRbspKSkWc5dhKe8fCyaTyepULmfUq1dP83tp586dbr8LU34+p4ty7EHc4bq4Q4TYwxUxhwhxh5GiHne487PXllGjRsmZM2c0+1566SXN34Tu5upz//vvvy3iqgoVKkjlypVd0n6Jj2UcGYZSkqbk5B2CaTKZlL+/v3rwwQfV9evXDcsnJCSo8PDw3Do1atTQPD9//nyL16Jnz54qKyvLsL2kpCRVr149TfkDBw5oyrhySs4taWlpmmPaGmbsiJycHBUYGJjb3vvvv2+3zhNPPKEqVqyomjdvrmbMmKF5Tj801s/PT3Xq1EmlpqYatnX58mVVrlw5zbBDvRMnTlhcF1umTJmiKa8fcuuOa33y5Enl4+OT+3zXrl2tvheVUurcuXOqZs2aueUbN25s85zcIe/789bWqFEjq+WNhsYOGTJEKaXU5s2bLZ6rWLGiunbtmkU7jgyNTUxM1Lwv8m79+/dXO3bsUMnJySolJUVt375d9e7d27Bs5cqVLd57a9assSgXGBioQkJClJeXlxo6dKg6fvy4Sk9PV/v27VP/+c9/DNuOiIiweM/ExsYqLy8vi7JNmzZVa9asUXFxcSopKUnFxMSorl27WpSrVauWysjIyO8ldYn8DhE9e/asCg0Ntaj78MMPq3379qn09HR17do1tXbtWnX77bdblLvvvvs8NkTWiCuGBdeuXduijZkzZ7qpx44r6lNyIiIicvvRsGFDl7U7dOhQzTl6YvqsUs59TheH2IO4o+Bxh1LEHs7GHEoRd5SGuMNdU3L27dunmeopIiokJEQlJCS4oNeukZ9zX7hwoUWdW9OZ09PT1bx581SnTp1U1apVla+vrypfvrxq166dmjhxosPnXtRiGabkuIhSSvz9/WXRokUSEBBgWCYiIkLz7eU///xjsfBUXsHBwfLFF19YXTAtJCREpk2bptm3atWqfPS+cCUlJWkWa9TfUsrIwoUL5eLFi7Jnzx4ZOnSozbKBgYGyZMkSCQwMNHw+PDxc+vXrl/v4/PnzFtfl/Pnzcs8990i9evWkbNmy8vLLL9s85iuvvKIZgWRvdX9XXOuZM2dKdna2iIiUL19eFi9ebPW9KCJStWpVmTt3bu7j2NhYj9+2cf/+/Rb7HLn+ed0656ioKHnooYc0z8XHx8vkyZPz1be5c+dKQkKCxf53331Xvv32W2ndurUEBwdLUFCQtGnTRpYvX274voiLi5PFixdr9hll+a9fvy5Xr16VDz/8UGbMmCG1a9cWPz8/ueuuu+THH3+0WGRO5Oaw5v/973+afUa31q1Zs6Zs2rRJunbtmjt1pW3btrJmzRrp3r27puzJkyc9NsrE1SIjI2XVqlWabzBFRH788Udp0qSJ+Pv7S9myZaVLly4WUyLbtm0rK1as8Pi3T65m9K2V0c8Z/p/s7GzNMHOjW07nV+PGjTWP4+LiXNa2u5SG2IO446bSFnu4IuYQIe4g7nDMq6++qpnqKSIycuRIixiluLl48aLFvrCwMDl06JDcfffdMnjwYFm/fr2cP38+d2RdTEyMvPPOO3LbbbfJt99+a/cYJTmWKdUJExGRp556SsqVK2ezTJMmTTSPba0U3qdPH7s/VN27d9esJhwTE+NAT4uWsmXLaoaJrl692qXtP/PMM3avyx133KF5nJiYqHl8zz33yJYtW+TIkSNy9epVuf/++222FxgYKNWqVct9bPQBmJcrrnXeW6r279/foZW3O3furOnnypUr7dZxJaO54/Xr1893e9OmTdMEjCI3g7n83Plk3rx5FvsaNGgg77zzjtU6U6dONVx1fOHChQ4ds3nz5obBj7e3t9UV+PPedevGjRuGt9Z9/fXXpWzZslb7rJefYbVFRbt27eTAgQPyyiuvaG7tasRkMknbtm3ls88+k82bN0tYWJiHeuk+Rj8/jt6Jo7TSz8l35V0T9G1Zm/9flJSG2IO446bSFnu4OuYQIe4g7jD2/fffy5YtWzT7Klas6PblEzzB6Mv+5ORk6dq1qxw6dMhm3eTkZHnyySfliy++sFmuJMcypT5hYu/DTEQsPkCNboN5iyNzKn18fKRp06a5j63dsrgo8/b2lg4dOuQ+njVrlrzyyity/vx5l7TvyCJE+uviivt95/2G5da3EdYU9FrHxcVpAoG85exp3bp17v8PHDjgcD1XMFqQsyBzIOvVqycvvPCCZl96erqMHDnSqXbOnDkjp06dstj/+OOPa+aJ6wUGBkqPHj0s9u/Zs8fue0DkZtLVGqNvekRuflN6y19//aV5fEvLli2tttuwYUOLRMHGjRvt9LRoO3funFy9etXuwoxKKblw4YIcPHhQTp8+7ZnOuVnVqlUt9p07d64QelJ86IM/a6MC8kN/e0Rbo0qLitIQexB33FTaYg9XxxwixB3EHZaUUjJu3DiL/UOHDrU5+qq4MFrUd/v27XL27FmH23j55Zfl5MmTVp8vybFMqU+Y1KxZ024Z/SrVtgJ6/bcP1tSoUSP3/868WYuS6dOna36JfPLJJ1K9enVp166djBkzRjZs2GCxUJejqlevbreMfjEsW9clPj5evvrqK3nmmWekffv2UrduXalYsaKEhYVJcHCw+Pv7i4+Pj90sa14Fvdb6BaUGDhwoJpPJoS3v4nWevtvBv//+a7HP3qgAe8aOHWtxt5SlS5c6tViUtaHMjiwsaBQwpqWlOXQnhrwBpF65cuUMg6a8i0gaBVsiN4Mea9ffy8vLYqTb5cuXDe8gU9Tl5OTIsGHDpHXr1rJgwQKHzuH06dPyySefSKNGjWT27Nke6KV7GQX/xfFaepL+G3GjxTLzS99WcRjFVFpij9Ied4iUvtjDHTGHCHGHkdISdxhZvny5xMbGavaFhITIiy++WEg9ci1bd4K65557ZP369XL58mVJTk6W6Ohoi9kVIjffQ9OnT7faTkmOZUp9wkT/TVJBOTosOO8v6bS0NJfc0szTmjZtKr/99pvcdtttuftycnJk+/btMnHiROnUqZOEhYVJly5d5IsvvnAqoHXVt4UZGRkydOhQqVGjhjz77LMyf/58iYmJkePHj8ulS5ckKSlJUlNTJSMjw2LOoj0Fvdb6obz5ZfQtgbtkZWUZ3iKsoNcrIiJC3n77bYv9eeec21unwiioEhGpUqWK3eNbC74cuUa2Ajdvb2/D2+Y6ewxHOXOrzaJizJgxMmPGDM0fHj4+PjJmzBg5cuSIZGRkyNWrV2Xz5s3yf//3f5q6mZmZMmTIkGI/LNjo58cV31yXZGFhYZrfCY5MZXCU/meyOMxdLy2xR2mPO0RKV+zhrphDhLjDVYpj3GFEv+6PyM1korUpSsVNmTJlDPe3bdtW1q9fL/fff7+Eh4dLcHCwdOnSRbZu3Wr4Pra1bk1JjmVKfcLE1YKCghwqp/+WIj+3IisK2rVrJ8eOHZNvv/1WWrVqZfHhkp6eLuvWrZPBgwdLzZo1ZfLkyR4L0DIyMuS+++6TWbNmueW2kAW91qmpqS7phyeHi1t7Hf39/Qvc9quvvmox4mvnzp2yZMkSERGrC9zdYjTcUEQcGkpprYy1NvPSj0DTszUsV8S11+/atWsua8sTjh07ZhikzJgxQ8aPHy/16tUTX19fKVu2rERFRcnPP/9seAvhYcOGOTSMuagyev8ppdx+O9vizMvLS7Oewl9//eWytvWL1OX9pr6oKk2xR2mOO0RKV+zhzphDhLjDFYpb3GFk9+7dhqOFnn766ULojXtYS/yMGzfO8PbVwcHBhlPU4uPjra5LUpJjGRImLubomyLvkFGTyWT3l19R5u3tLf3795edO3dKXFyczJ8/X/r16yfly5fXlEtKSpLRo0fLI488kq9vVZw1ZswY2b59e+5js9ksAwcOlKVLl8off/whJ0+elMTERElOTpa0tDTJzs6WRo0aOdx+Qa+1Ptu7bt06UUo5vblyKHp+2Vt3whF+fn6Gq9SPHDlS0tPT7QZI1j4MHAkOrZWx9y2NK1jL+ueHI4FWUfLtt99aJDpCQ0Mt5pbnZbTQ3ZkzZzQ/68WNK35+SqN27drl/v/8+fMuW9Mm75D88PBwh6dAFKbSFnuU1rhDhNhDxHW/M4k7Cq64xR1G5syZY7HvrrvuMpyWUlwZrS8iYnsNI2tTy6xNsynJsQwJExdz9AMk71DGMmXKFPi2mEUlw1uxYkV56qmnZMmSJRIfHy979+6VkSNHauab//zzz4a/nFwpPT1ds3J5WFiY7Nq1S77++mt59NFH5e6775bbbrtNM5fY29vbqYCqoNdaPwe/ONyJwdo3IvmdM67Xr18/adWqlWbfmTNnZMaMGXZX8dcHyrc4suCUtUUDrbXpStbWR/jzzz+dDmCNRl8UZfv27bPYV69ePYu7F+ifN3Lw4EGX9cvTjH5+ivMfs54SFRWleTx//vwCt3nkyBHNN4333nuv3W9rneGuz+rSHHuUprhDpHTFHu6OOUSIO/IqDXGHXmZmpvzwww8W+3v16lUIvXEfa7fitjX6zlqSxdrIxJIcy5AwcTH9fc6tyftNmH64b94A5saNGw59mBbFu0WYTCZp1qyZTJ48WQ4dOiR169bNfc5oGL4rHTx4UBMsjB492u5K8JmZmU4tglfQa12/fn3NtdYvNlUUeXt7G/4xa+vOUc764IMPLPZNmTLF7s9Bs2bNDPfv3r3b7jGNyoSFhUmtWrXs1i2o22+/3XB/cVyQ0VlG30wZzVfPy9p8WFe+Bz3NqO+uvOtLSdWnTx/N6zR37twC/wH/8ccfax4PHDjQatmi9FlN7HFTSY87REpX7OGJmEOEuOOW0hB36G3cuNHwc6Nr166F0Bv3qV+/vmFcceTIEat19Iv83mJtXa+SHMuQMHGxrVu32i2TmZmp+WZVf99qfUbdXvY/JydHfv/9dyd66XlVqlTRLK519uxZtw7ji4uL0zy2taL4Lb/88otTc3sLeq1DQ0M1wdyqVascPnZhqlChgsW+S5cuuaz9du3aWWT2k5OT5dNPP7VZr3r16oZ3vVq8eLHN9S0SExNlzZo1FvujoqIK/O2rIxo1amT4LZYj76/iTn+LThGRkydP2gxSrd3SzhPfyrmL/veViGvuAlHSRUREaG6veenSJXn99dfz3d7OnTs1oxAaNWpksdBwXkXps5rYw1JJjDtESl/s4e6YQ4S445bSEHforVy50mJfuXLl5O677y6E3riPt7e34a2sbY3MNHo/mM1mqV27tmH5khzLkDBxscWLF9tdTOnHH3/UfEvaoUMHzfP6FdCNhq3n9f3338s///zjVD8LOpf3008/ld69e0vNmjVl8eLFDtXR327KlcOc9fRt2wuSkpKSLBY3sjfk0xXXOm8wfuDAAYmOjrbZnsjN+ctNmjSRPn36yNdff+3Ru+SIGK/+fuHCBZceY+rUqRaLUDmyRsVzzz1nse/kyZMyYcIEw/I5OTny0ksvGWbFn3/+eQd7WzAmk0l69uxpsX/u3LlWV59fs2aNBAcHS61ataR169byf//3f5qV/UVE1q5da3hrwG3btrnlPPLD6Nu5q1evyoIFC6zW+eyzzwz3t2jRQkSKx3nrGf38WBsKC61Ro0ZpPjPnz58v48ePd7qdw4cPS69evXKHJ5tMJpk6darNP17c/VntzOd0cYg9iDu08hN3iJS+2MMTMYcIcYdI6Yg79Iyu8d133+1U4qq4nPcTTzxhsW/hwoVy4MABi/3JyckyY8YMi/2tW7e2OmqkJMcyJExc7NKlS/LKK69YXfgmISFBRowYkfvYKOPXsGFDzeO5c+daPd7hw4dlyJAhdhem8vb21jwu6LC7nTt35gZLb7/9ttVvffNavnx57v8jIyMdXuk9P/LeclBEbN529MKFC9KlSxdJTEyUli1b5u63N9TYFdf6+eef1wRZzzzzjM3hcZmZmfKvqwptAAAgAElEQVTss8/K/v37ZcWKFfLcc895fOG1vN9M3WKrz/lRu3ZtGTJkiNP1XnzxRcNRC+PHj5dBgwbJ/v37JSMjQ5KSkuS3336TBx54QJYtW2ZRvnnz5tKlS5d89T0/3njjDYsP55SUFGnfvr189dVXEh8fL1lZWXL27Fn55JNPpF+/fpKamiqnTp2SXbt2ycqVK4vlHNFevXpZ/G4SuflzMXbsWDly5IhkZmZKWlqa7N27Vx5//HH57rvvLMo3atTI6YUTixKjn586deoUQk+Kn8jISPnqq680+8aOHSuPP/641TUC8lJKyTfffCNRUVGaYO/NN9+U7t2726zr6s/qgnxOF8XYg7jD9XGHSOmLPTwRc4gQd4iUjrgjr+zsbDl8+LDF/saNGxdCb9yve/fuuV8u3ZKdnS2dOnWSBQsWSFJSkqSlpcnGjRulQ4cOcurUKYs2bC3KX6JjGeWA6OhoJSI2t6SkJEeacps5c+Zo+rN161bDcitXrtSUO3XqlN229XX+/vvv3Ofmz5+vea5v375KRFRUVJT6+eefVXx8vMrMzFRxcXFq4cKFqkaNGpryTzzxhMXxsrKyVKVKlTTlBgwYoPbu3atSU1NVRkaG+t///qcmTJigypQpo7y9vdXEiRNzy3p7exueR3BwcG6ZSpUqqe3bt6v09HR16dIl9c8//zj2Qv//9uzZo0wmU2574eHhauLEiWrPnj0qKSlJZWdnq5SUFHX27Fm1evVq9dBDD2nOZ/To0W69Ljk5OSoyMlLz/JAhQ9ShQ4dUWlqaSkxMVDt27FBvvfVW7usyZ84c9eKLL+aWN5lMavHixSotLU1du3bNLddaKaVGjBihKRcUFKTGjh2rDhw4oFJSUtS1a9fU//73PzVnzhzVuHFjTdkXX3zRsM2ZM2dqykVHRzt+ce2YOnWqxc9/o0aNrJafN2+eRfnnn3/e7nESExNVWFiYzd87I0aMsKgXHR2teW86u5UpU0YdPXrUsF2j8v/++6/N84iIiLCoM2fOHItyb7zxRr77XKtWLXXt2jWH+mvtd6Mjhg0blu8+5t2effbZ3DZfeumlAre3atWqYnfeedWuXdui7KxZs/LdX1eJjY21e06xsbGF3U2llFKzZs1SXl5emr4FBQWpAQMGqBUrVqhjx46pq1evqvT0dHX27Fm1fft29e6776o77rjD4pz69++vsrOz7R7THZ/Vjn5OF5fYg7ijYHGHu661Uq6PPdwVdzgbcyhF3FFS4g53f/YePHjQsPxXX33lVD+LU9yxd+9eZTab89VWq1atbH42FrVYJikpye45Ofp7ioSJixMmR48eVSEhIQ698SIjI9XFixcNj/n+++87/AYePXq0Wr9+fe5jk8lk2GanTp2stjFs2DD7L7LOqFGj8vUDd+edd6rU1FSbr3FBr4tSlu8JW1vfvn3VjRs31DfffGP4/EMPPeS2a52RkaG6du3q9Ot49913q5SUFMM23Zkw2bBhg0VfvL29rf4OyG/gopRSM2bMsPkaGAUuSin1zTffKF9fX6df0/Lly6tt27YZtunuwCUzM1P16NHD6T5XrFhRHTx40OH+FrUP8IyMDPXggw/mu60pU6YUy/O+JSEhwTDQtvY+9KTilDBRSqkff/zR4d/JRpu3t7eaNGmSU8d09We1o5/TxSX2IO6wvjkSdyjlvmvt6tjDXXGHszGHUsQdJSXucHfCZN26dYblV69e7VQ/i1vc8dNPPzmdNKlZs6Y6c+aM1f4WxVjGlQkTpuS4WOXKlSU6OtruIjcNGjSQtWvXSsWKFQ2fHzp0qDz55JN2jzd8+HCZNGmSZj6ZUsrwlk+jR4926fzdSZMmyfTp063e9s1Iv379ZPPmzR5ZNfmFF15waHjl008/LYsXLxYvLy/p1auXw/PtXHWtfX195ZdffpE333zToeGNJpNJnnnmGdm4caNbhxdb065dO4trfuPGDdm4caPLjzVkyBCri0vZMmDAANm6dau0bdvWofImk0n69u0re/bskXbt2jl9PFcwm83y888/y7hx4xy+rt26dZM9e/Y4NXzUnXP488PX11fWrFkj7733npQpU8bherfddpusXr1aM/TclqJ23rf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RfxlZvXq1x/+fKRQK5XYhMLGPwMQOAhMKheJNZdGiRVY/r3744QfVsmVLFRQUpMqWLau6du2qDh48qJRSVkdp2AtMxowZY1gvNTVVvfzyyyoqKkr5+/urSpUqqcGDB6sLFy5YLJuenq7uuusuq9tITk62qJOUlKSWLVvmyMe0hWHDhhlup2zZspove7edPXtWPffcc6pWrVqqZMmSyt/fX4WHh6tu3bqpXbt2GW7j1Vdf9eg+K+xiFLiNHDnS/LizgYm/v7/KycmxWD4jI8NuW2bNmmW4LWuve35L9+7dNeufMWOGQ/XcEZiULl3aYlSZUSigH5lx9epVm6M5fHx8zIHHbfv27VMmk8lqnRs3bpiXvXTpksrNzVUnTpxQNWrUsFrnoYcesvgMsnZa0dSpUzXLPf/883b3T79+/TTrX758udVlC2Mf5S0mk0nzGXfjxg3l5+fn0vcqhUKh5LcQmNhHYGIHgQmFQvGWEhkZaTX4+O677wzrhISEqL1791r9jLMVmJQqVUolJSVZ1MnKyrL6C+5dd92lLl++7HD7RMRwG7m5uebnum/fPvXwww+r0qVLq9KlS6uHH35YHTlyxOpz2rBhg+F2+vTpY7i8rc/54OBgtW/fPos6R48e9eg+K8zy2GOPWbRt48aNmi+MzgYm1apVM1z+3LlzdtszYcIEw7qOnIrhTPnwww816+/Xr59D9dwRmIiIxSkkI0aM0DweEBBgMQro0UcftbteHx8ftXXrVk297t27W11eP+orKytL3X///Xa38/PPPzu0Pzdt2mReJj093eFwYeHCher06dNq8+bNatasWYbLFNY+0pf169dr6jp7LRQKhUJxVyEwsY+75ABAEdGjRw/N3UluS0tLk5deesmwzvXr12Xw4MH52t7gwYMlLCzMYv63334rO3fuNKxz6tQp+de//mUxv1u3bk7dxcJkMonJZJJNmzZJy5YtZd26dXLt2jW5du2arFu3Tlq3bi1nz541rPvAAw8Yzr/rrrsM5x85csRqO9LS0uSjjz6Sy5cvy8GDB2XdunXyxRdfyIIFCyQgIMBieU/uM3coV66cxZ1Qrl69KgMHDizQnZeM9pGISEpKit26165dc2qd+dWsWTPNtLXXr7CcOHFCM61/P3ft2lWqVq1qnt64caPF3aaM5ObmyqRJkzTzevbs6XC7Fi9eLAcOHLC73C+//KKZrlOnjuFyeW+bfPPmTYdv4dynTx+JjIyUmJgYi9te3+apfaR/7zRv3tzhugAAzyIwAYAiokOHDobzf/zxR7l8+bLVer///nu+vuz985//NJy/cuVKm/WWLl1qMS8oKEgefvhhp7Z/48YN6d+/v2RmZlo8dvnyZXn//fcN65UrV05CQ0Md3k6/fv1sPr5w4UIpX7683H///fLII4/I0KFD5d1335WsrCyLZT29z1xt5syZUqlSJc28F198UeLj4wu03pCQEMP5RvtULz093al15lfdunXNf2dnZ8vJkyddun5nJSUlaabzBgsiIm3bttVML1iwwOF1b9y4Ua5cuWKe7tKli8O30V24cKFDy506dUozXaZMGcPlEhMTzX8HBwfLY4895tD6HeGpffTXX39ppq2FRQAA70NgAgBFRIMGDQznb9q0yW7d2NhYp7bl5+cnTZo0MXzs2LFjNuueOXNGrl69ajG/adOmTrVh6dKlVkeRiIjNX4aNvoydPn3acNmZM2fK999/Lz169JDy5cs71ca8vGGfuVL37t2lV69emnnff/+9zJ8/v8Dr9vf3N5yfnZ1tt+7NmzcN5xuN+MmvkiVLSsWKFc3TZ8+eldzcXJetPz/0oWhQUJBmOiYmRjO9detWh9edm5sr27dvN0+XKlVKatWq5VDdXbt2ObTc9evXNdP69t+2ceNGzfTChQtl2LBhLnl9PbWP9GFRZGSkw9sFAHgWgQkAFAHBwcGaoeR56X+9NLJ//36nthcZGSklS5Y0fCwuLk7UrWtgWS1GgcW9997rVBvWr19v8/H4+HirX2JLlChhMW/dunWGo1VMJpN07dpVli1bJomJiXL06FGZM2eODBw40OppPEa8YZ+5SoUKFWTWrFmaeYmJiTJ06FCXrN/o1DJvUrVqVU0bCzqixhX0AYM+XMr7XlVKOd1m/efI3XffbbdOVlaWZtSFvWXzsvYe+Pzzz+Xvv/82T4eEhMisWbMkISFB5s2bJ3379pXKlSs7tE09T+wjEcuwtlq1ak5tFwDgOX6ebgAAwD5bp5hcuHDBbn1HlslLfxqGKzgTPoiI/PnnnzYfz83NlaSkJM1IgNuMvowlJyfLlClTLK5FoK9Xt25dqVu3rgwcOFBEbo3+WLduncydO1d2795tta437DNXmTVrllSoUEEzb8iQIXLp0iWXrN/aqTeOjCIwCsNsrTM/SpcurZm2dt2UwqS/Rktqaqr578DAQE1YZzKZJCMjo0DbcySUyNsGV0lJSZFHHnlE1q1bpxmJERYWJgMGDJABAwaIiMjRo0fl559/ljVr1sjGjRvtXuvEU/tIxHI/lSpVqkDbBQAUHkaYAEARYKuDfePGDbv1nf1iExgY6NTyjnD2S4LRKSp6zj6vKVOmyIwZM5yqU716dRk2bJjs2rVLfvzxR6tfkrxhn7lC7969pXv37pp58+bNk1WrVrlsG9YCiIIEJq4MNfSjORz5H3O38PBwzXTe0RFly5Z1+fY8+aX+yJEj0qhRI5k+fbrVfV+vXj0ZMWKExMbGyoULF2TixIkWQVdentxHaWlpmmlrpyMBALwPgQkAFAG2TmFw5G4ljl6c8DZX/lp/m60vM0asXauiIHJzc2XkyJHSpUsX2bNnj9P1H3vsMdmzZ4/UrFnT4jFv2GcFValSJYtA6cyZM1bvwpRf+guY3qa/kKkRa3fDcdXoFxHLUMboVK7C9uCDD2qm814Xxx3/K66+iK6zrly5IqNHj5YqVarIwIEDZcWKFTbvkPTOO+9IXFyctGjRwnAZT+6j3NxczQgYa6EfAMD7cEoOABQBtkZSOPJrpbO/Ftu6LkFERIScO3fOqfV5m/Xr18v69eulQYMG0qVLF2nfvr20atXKoX1ZtWpVWbJkiTRt2lQTVt0J+6xVq1YWoUX16tUdGu1jRB9KtW7dWrZu3SoXLlyQrKwsixElYWFhYjKZbIaARqdgiVi/qG9+6AMST3/Bvfvuuy1O+dqxY4f5b/3rk56efseMYrh69arMmzdP5s2bJ/7+/vLggw9Kx44dpWPHjtK4cWNNmFyxYkX55ZdfpH379poLtN5eT16FuY98fHzEz+//utzeEMABABzDCBMAKAJSUlKsPubIefTOXmQwOTnZ6mP6UwOKskOHDsmHH34onTp1kjJlykjTpk1l5MiRsmDBAklISLBar3Hjxha3KC0u+8wVcnNz5cSJExbz/fz87F63pV69eobz7V3zxhn600A8HT707t1bM7137145f/68eTozM1PT5sDAQJfeNchbZGdny//+9z958803pWnTphIRESHjx4/X3IEnMDBQZs+ebVHXk/soODhYM+0Np3gBABxDYAIARUBqaqrVC7fWrVvXbv1GjRo5tb1z585Z3Mb0Nndc3NQb5OTkyG+//SYzZsyQfv36SUREhHTs2NHqLYHbt2+vmS6O+6wgrJ0SZeu96u/vL/fdd5/F/MzMTKfvBGWLN12kMyQkRF544QXNvHnz5lksd/jwYc20I58LRV1CQoJMmjRJmjRpogks7733XmnYsKHF8p7aR/r3jzsulgsAcA8CEwAoIvSd/dv0Ix2MPPbYY05vL++Q/7z011K4UymlZMOGDdKhQwfD2xcb3ea5uO8zZ/z888+G87t27Wq1TocOHQyvG7F582aXnuZw9uxZzWlB1atXd9m6nTVp0iTNXbLOnj0rX375pcVy+gAqOjra7W3zFseOHZPPPvtMM++ee+6xWM5T+yjv3X5EvOM21QAAxxCYAEARYe0L5uOPP25xC9i82rdvL/Xr13d6e2vXrjWc379/f5tD2Tt37izXrl2TuLg42bp1qyxfvlxmzpxpMSKjMFWuXFl69eol77zzjixYsED27NkjFy9edOjOGfHx8YYXKTUaVl/U99ny5cvFZDI5XT755BPD9TVt2lSz3NatW82PrVmzxjDk6Nmzp+FpN76+vjJ+/HjD7SxdujSfz9hYRkaGJCYmmqcjIiLEx6fwu0zdunWT0aNHa+ZNnjzZcL+tX79eM/3000+7tW3u0KFDB/noo49k8+bN8r///c+puvpTvIwudO2pfRQVFaWZduX1dgAAbqZgU/PmzZWIUCgUisdL3bp1rX5WLV68WJlMJos6FSpUUHFxcVbr7d+/3+r2goODVXJysmG9jz/+2LBOYGCg2r17t8Xyubm56r777jOsk5SUZLiNiIgIu/vk+PHjhnXr1aunWa5p06ZOPY+8pWHDhio3N9ei7ksvveSxfeZtZfr06YbPuUmTJjbrzZ8/37BefHy86t69uwoNDVWBgYGqWbNmav369YbLJicnq+DgYJc/p82bN2u2U6tWLYfqDR48WFNv/fr1+dr+008/rTIyMjTrWrNmjfLx8TFc3tfXV8XHx2uW/+c//+nQtvz8/NT27dvVxo0b1RtvvKEeeOABq8tev37dvP6kpCSHn0/nzp01bfvqq68slpk6dapmmZiYGIfXP3nyZE3dNm3aeGwf6cuECRM02xw+fLjL368UCoWSn9K8eXPDYyv+D4GJHQQmFArFm8q6deusfl6tWbNGtWjRQgUFBamwsDDVt29fderUKaWUsvjidduBAwdsbu/111+3ur1ly5ap5s2bq+DgYBUWFqY6d+6sdu7cabjsnDlzrG6jMAITEVH79u0zXHbx4sXq8ccfV5UrV1ZBQUHKz89PhYaGqkaNGqnXXntNJSYmWtTJyspSlStX9tg+87aS38Ckdu3aKisry+r+csSYMWPc8pw++ugjzXb69u3rUL2CBiaRkZFq7ty5Fs/zyJE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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 21 + } + ] + }, + { + "cell_type": "code", + "source": [ + "X = df.iloc[:, :-2].values\n", + "y = df['Label'].values\n", + "accuracies = []\n", + "skf = StratifiedKFold(n_splits=5, shuffle=True, random_state=42)\n", + "for fold, (train_idx, val_idx) in enumerate(skf.split(X, y), 1):\n", + " print(f\"\\nFold {fold}\")\n", + "\n", + " # Split data\n", + " X_train, X_val = X[train_idx], X[val_idx]\n", + " y_train, y_val = y[train_idx], y[val_idx]\n", + "\n", + " # Convert to tf.data.Dataset\n", + " train_ds = tf.data.Dataset.from_tensor_slices((X_train, y_train))\n", + " val_ds = tf.data.Dataset.from_tensor_slices((X_val, y_val))\n", + "\n", + " # Shuffle, batch, cache, prefetch\n", + " train_ds = train_ds.shuffle(buffer_size=len(X_train), seed=42) \\\n", + " .batch(12) \\\n", + " .cache() \\\n", + " .prefetch(tf.data.AUTOTUNE)\n", + "\n", + " val_ds = val_ds.batch(12).cache().prefetch(tf.data.AUTOTUNE)\n", + "\n", + " model = build_model()\n", + " hist = model.fit(train_ds, epochs=100, validation_data=val_ds, callbacks=callbacks)\n", + "\n", + " plt.figure(figsize=(12, 5))\n", + " # Plot untuk accuracy dan val_accuracy\n", + " plt.title(\"Accuracy and Val Accuracy\")\n", + " plt.plot(hist.history['accuracy'], label='Train', color='red') # Gunakan label, bukan labels\n", + " plt.plot(hist.history['val_accuracy'], label='Val', color='green') # Gunakan label, bukan labels\n", + " plt.legend() # Panggil legend setelah semua plot ditambahkan\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Accuracy')\n", + " plt.show()\n", + "\n", + " # Evaluate\n", + " loss, acc = model.evaluate(val_ds, verbose=0)\n", + " print(f\"Accuracy Fold {fold}: {acc:.4f}\")\n", + "\n", + " accuracies.append(acc)\n", + "\n", + "print(f\"\\nAverage Accuracy: {np.mean(accuracies):.4f}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "8AqrIdbTLJlf", + "outputId": "8dbfdfd8-0685-4c27-a9db-6553ea8a7443" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Fold 1\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 57ms/step - accuracy: 0.1274 - loss: 1.8094 - val_accuracy: 0.2000 - val_loss: 1.8223 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.1859 - loss: 1.6491 - val_accuracy: 0.2000 - val_loss: 1.6815 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.1907 - loss: 1.5770 - val_accuracy: 0.2333 - val_loss: 1.5791 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2969 - loss: 1.5192 - val_accuracy: 0.4667 - val_loss: 1.5119 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3669 - loss: 1.4743 - val_accuracy: 0.4000 - val_loss: 1.4676 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3701 - loss: 1.4346 - val_accuracy: 0.5000 - val_loss: 1.4356 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3826 - loss: 1.3924 - val_accuracy: 0.5000 - val_loss: 1.3992 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4768 - loss: 1.3526 - val_accuracy: 0.4667 - val_loss: 1.3619 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4659 - loss: 1.3160 - val_accuracy: 0.4667 - val_loss: 1.3234 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4945 - loss: 1.2761 - val_accuracy: 0.5000 - val_loss: 1.2899 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5363 - loss: 1.2385 - val_accuracy: 0.5333 - val_loss: 1.2560 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6263 - loss: 1.2030 - val_accuracy: 0.5333 - val_loss: 1.2225 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7052 - loss: 1.1646 - val_accuracy: 0.5333 - val_loss: 1.1880 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7446 - loss: 1.1278 - val_accuracy: 0.6000 - val_loss: 1.1548 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8016 - loss: 1.0890 - val_accuracy: 0.6000 - val_loss: 1.1187 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7998 - loss: 1.0494 - val_accuracy: 0.6333 - val_loss: 1.0821 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7860 - loss: 1.0090 - val_accuracy: 0.6333 - val_loss: 1.0478 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7816 - loss: 0.9694 - val_accuracy: 0.6333 - val_loss: 1.0131 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7860 - loss: 0.9309 - val_accuracy: 0.6333 - val_loss: 0.9789 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8099 - loss: 0.8915 - val_accuracy: 0.6333 - val_loss: 0.9471 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8002 - loss: 0.8546 - val_accuracy: 0.6000 - val_loss: 0.9122 - learning_rate: 0.0010\n", + "Epoch 22/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8450 - loss: 0.8181 - val_accuracy: 0.6333 - val_loss: 0.8782 - learning_rate: 0.0010\n", + "Epoch 23/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9083 - loss: 0.7842 - val_accuracy: 0.6667 - val_loss: 0.8482 - learning_rate: 0.0010\n", + "Epoch 24/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9083 - loss: 0.7489 - val_accuracy: 0.6667 - val_loss: 0.8158 - learning_rate: 0.0010\n", + "Epoch 25/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 1: 1.0000\n", + "\n", + "Fold 2\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 58ms/step - accuracy: 0.2112 - loss: 1.7072 - val_accuracy: 0.3333 - val_loss: 1.5664 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2490 - loss: 1.5917 - val_accuracy: 0.4667 - val_loss: 1.4792 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4092 - loss: 1.5401 - val_accuracy: 0.7000 - val_loss: 1.4181 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5381 - loss: 1.4860 - val_accuracy: 0.6667 - val_loss: 1.3673 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5545 - loss: 1.4387 - val_accuracy: 0.7000 - val_loss: 1.3157 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5776 - loss: 1.3918 - val_accuracy: 0.7000 - val_loss: 1.2704 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6190 - loss: 1.3436 - val_accuracy: 0.8333 - val_loss: 1.2230 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7319 - loss: 1.2959 - val_accuracy: 0.7667 - val_loss: 1.1794 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7295 - loss: 1.2487 - val_accuracy: 0.7333 - val_loss: 1.1355 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7239 - loss: 1.2029 - val_accuracy: 0.7000 - val_loss: 1.0965 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6882 - loss: 1.1565 - val_accuracy: 0.6667 - val_loss: 1.0522 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6806 - loss: 1.1094 - val_accuracy: 0.6333 - val_loss: 1.0102 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7074 - loss: 1.0619 - val_accuracy: 0.7000 - val_loss: 0.9734 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7381 - loss: 1.0143 - val_accuracy: 0.6000 - val_loss: 0.9321 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7535 - loss: 0.9674 - val_accuracy: 0.7000 - val_loss: 0.8932 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.7381 - loss: 0.9228 - val_accuracy: 0.6000 - val_loss: 0.8567 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7591 - loss: 0.8843 - val_accuracy: 0.7667 - val_loss: 0.8209 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8291 - loss: 0.8401 - val_accuracy: 0.7000 - val_loss: 0.7861 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8291 - loss: 0.8021 - val_accuracy: 0.8000 - val_loss: 0.7497 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8386 - loss: 0.7604 - val_accuracy: 0.8000 - val_loss: 0.7196 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 2: 1.0000\n", + "\n", + "Fold 3\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 94ms/step - accuracy: 0.2443 - loss: 2.1328 - val_accuracy: 0.1667 - val_loss: 1.8010 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2482 - loss: 1.6734 - val_accuracy: 0.0667 - val_loss: 1.6752 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.2954 - loss: 1.6132 - val_accuracy: 0.0667 - val_loss: 1.6506 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.1603 - loss: 1.6092 - val_accuracy: 0.1333 - val_loss: 1.6163 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2654 - loss: 1.5748 - val_accuracy: 0.1667 - val_loss: 1.5852 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3067 - loss: 1.5384 - val_accuracy: 0.3000 - val_loss: 1.5608 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4051 - loss: 1.5182 - val_accuracy: 0.3333 - val_loss: 1.5323 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4937 - loss: 1.4887 - val_accuracy: 0.3333 - val_loss: 1.5052 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5228 - loss: 1.4563 - val_accuracy: 0.3667 - val_loss: 1.4794 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5912 - loss: 1.4281 - val_accuracy: 0.4333 - val_loss: 1.4497 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6601 - loss: 1.3988 - val_accuracy: 0.4333 - val_loss: 1.4200 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6770 - loss: 1.3673 - val_accuracy: 0.4667 - val_loss: 1.3895 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.7377 - loss: 1.3355 - val_accuracy: 0.4667 - val_loss: 1.3540 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7607 - loss: 1.3010 - val_accuracy: 0.5000 - val_loss: 1.3161 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7727 - loss: 1.2653 - val_accuracy: 0.5333 - val_loss: 1.2716 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7714 - loss: 1.2244 - val_accuracy: 0.6000 - val_loss: 1.2232 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8148 - loss: 1.1853 - val_accuracy: 0.6333 - val_loss: 1.1751 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7552 - loss: 1.1421 - val_accuracy: 0.7000 - val_loss: 1.1305 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7871 - loss: 1.1051 - val_accuracy: 0.7667 - val_loss: 1.0838 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7976 - loss: 1.0631 - val_accuracy: 0.8667 - val_loss: 1.0419 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 3: 1.0000\n", + "\n", + "Fold 4\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 60ms/step - accuracy: 0.1668 - loss: 1.9004 - val_accuracy: 0.0333 - val_loss: 1.7638 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.1911 - loss: 1.5676 - val_accuracy: 0.0667 - val_loss: 1.6981 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.1761 - loss: 1.5153 - val_accuracy: 0.2333 - val_loss: 1.6235 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2603 - loss: 1.4717 - val_accuracy: 0.2333 - val_loss: 1.5810 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2603 - loss: 1.4320 - val_accuracy: 0.2333 - val_loss: 1.5442 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3036 - loss: 1.3959 - val_accuracy: 0.3333 - val_loss: 1.5064 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3932 - loss: 1.3588 - val_accuracy: 0.3333 - val_loss: 1.4683 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4079 - loss: 1.3233 - val_accuracy: 0.3333 - val_loss: 1.4325 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.4439 - loss: 1.2907 - val_accuracy: 0.3667 - val_loss: 1.3994 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4401 - loss: 1.2577 - val_accuracy: 0.5000 - val_loss: 1.3667 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4236 - loss: 1.2269 - val_accuracy: 0.5000 - val_loss: 1.3362 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4236 - loss: 1.1932 - val_accuracy: 0.5000 - val_loss: 1.2997 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4996 - loss: 1.1597 - val_accuracy: 0.5667 - val_loss: 1.2675 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4872 - loss: 1.1301 - val_accuracy: 0.5667 - val_loss: 1.2339 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5291 - loss: 1.0971 - val_accuracy: 0.5667 - val_loss: 1.2012 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.5371 - loss: 1.0672 - val_accuracy: 0.5667 - val_loss: 1.1680 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5458 - loss: 1.0357 - val_accuracy: 0.7333 - val_loss: 1.1358 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6021 - loss: 1.0038 - val_accuracy: 0.7333 - val_loss: 1.1010 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6165 - loss: 0.9731 - val_accuracy: 0.7333 - val_loss: 1.0691 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6700 - loss: 0.9406 - val_accuracy: 0.7333 - val_loss: 1.0351 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 4: 0.8667\n", + "\n", + "Fold 5\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 60ms/step - accuracy: 0.2546 - loss: 2.0092 - val_accuracy: 0.3000 - val_loss: 1.6294 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.3222 - loss: 1.5677 - val_accuracy: 0.2667 - val_loss: 1.6030 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2548 - loss: 1.5664 - val_accuracy: 0.2333 - val_loss: 1.5563 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3090 - loss: 1.5282 - val_accuracy: 0.3333 - val_loss: 1.5188 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4004 - loss: 1.4907 - val_accuracy: 0.4000 - val_loss: 1.4767 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.4216 - loss: 1.4529 - val_accuracy: 0.3000 - val_loss: 1.4419 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.3471 - loss: 1.4245 - val_accuracy: 0.3000 - val_loss: 1.4075 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.3528 - loss: 1.3962 - val_accuracy: 0.4000 - val_loss: 1.3711 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4470 - loss: 1.3609 - val_accuracy: 0.3333 - val_loss: 1.3360 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3947 - loss: 1.3295 - val_accuracy: 0.3333 - val_loss: 1.3001 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.4084 - loss: 1.2979 - val_accuracy: 0.4667 - val_loss: 1.2631 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4853 - loss: 1.2652 - val_accuracy: 0.5333 - val_loss: 1.2272 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.4958 - loss: 1.2321 - val_accuracy: 0.5333 - val_loss: 1.1915 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5140 - loss: 1.1987 - val_accuracy: 0.5667 - val_loss: 1.1531 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5328 - loss: 1.1649 - val_accuracy: 0.5333 - val_loss: 1.1167 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5682 - loss: 1.1316 - val_accuracy: 0.6667 - val_loss: 1.0761 - learning_rate: 0.0010\n", + "Epoch 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 5: 1.0000\n", + "\n", + "Average Accuracy: 0.9733\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Visualisasi akurasi tiap fold\n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(range(1, len(accuracies) + 1), accuracies, marker='o', linestyle='-', color='blue', label='Fold Accuracy')\n", + "plt.axhline(np.mean(accuracies), color='red', linestyle='--', label=f'Average Accuracy: {np.mean(accuracies):.4f}')\n", + "plt.title(\"Validation Accuracy per Fold\")\n", + "plt.xlabel(\"Fold\")\n", + "plt.ylabel(\"Accuracy\")\n", + "plt.xticks(range(1, len(accuracies) + 1))\n", + "plt.legend()\n", + "plt.grid(True)\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 485 + }, + "id": "nJ9fx6EuOq7B", + "outputId": "cd049fc0-2b61-414a-dbbd-b3dea3333872" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "## Finding Best Hyperparameter" + ], + "metadata": { + "id": "bEuHgzpXtMvp" + } + }, + { + "cell_type": "code", + "source": [ + "def build_model(hp):\n", + " model = Sequential()\n", + " # Input layer\n", + " model.add(Input(shape=(18,1)))\n", + " model.add(Conv1D(\n", + " filters=hp.Int('filters', min_value=16, max_value=64, step=16),\n", + " kernel_size=hp.Choice('kernel_size', values=[3, 5]),\n", + " activation='relu',\n", + " kernel_regularizer=l2(hp.Float('l2_reg_conv', min_value=0.0001, max_value=0.01, sampling='LOG'))\n", + " ))\n", + " model.add(Flatten())\n", + " model.add(Dense(\n", + " units=hp.Int('dense_units', min_value=16, max_value=128, step=16),\n", + " activation='relu',\n", + " kernel_regularizer=l2(hp.Float('l2_reg_dense', min_value=0.0001, max_value=0.01, sampling='LOG'))\n", + " ))\n", + " # Output layer\n", + " model.add(Dense(len(classes), activation='softmax'))\n", + " # Hyperparameter untuk optimizer\n", + " optimizer_choice = hp.Choice('optimizer', values=['adam', 'rmsprop'])\n", + " learning_rate = hp.Choice('learning_rate', values=[0.01, 0.001, 0.0001])\n", + " if optimizer_choice == 'adam':\n", + " optimizer = tf.keras.optimizers.Adam(learning_rate=learning_rate)\n", + " else:\n", + " optimizer = tf.keras.optimizers.RMSprop(learning_rate=learning_rate)\n", + "\n", + " # Compile model\n", + " model.compile(\n", + " optimizer=optimizer,\n", + " loss=tf.keras.losses.SparseCategoricalCrossentropy(),\n", + " metrics=['accuracy']\n", + " )\n", + "\n", + " return model\n", + "\n", + "callbacks = [tf.keras.callbacks.EarlyStopping(monitor='val_loss', patience=5, restore_best_weights=True),\n", + " tf.keras.callbacks.ReduceLROnPlateau(monitor=\"val_loss\",\n", + " patience=5,\n", + " verbose=1),\n", + " CSVLogger('hp_log.csv', append=True)]" + ], + "metadata": { + "id": "BQCS3xboq3Kr" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "tuner = RandomSearch(\n", + " build_model,\n", + " objective='val_accuracy',\n", + " directory='best_params_grid_layer',\n", + " project_name='hptuning',\n", + " max_trials=5,\n", + " executions_per_trial=3,\n", + " seed=42\n", + ")\n", + "tuner.search(train_ds, validation_data=val_ds, epochs=100, callbacks=callbacks)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "lF2Zel_puFc2", + "outputId": "db6dce57-980e-4b38-b038-fb206c6ad2da" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Trial 5 Complete [00h 00m 30s]\n", + "val_accuracy: 1.0\n", + "\n", + "Best val_accuracy So Far: 1.0\n", + "Total elapsed time: 00h 02m 10s\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!rm -rf best_params_grid_layer" + ], + "metadata": { + "id": "5L25hBMiG_93" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "## Build Hyperparameter Dataframe\n" + ], + "metadata": { + "id": "ndTXAhwGJtQa" + } + }, + { + "cell_type": "code", + "source": [ + "data = []\n", + "# Melihat semua percobaan yang telah dilakukan\n", + "trials = tuner.oracle.trials\n", + "\n", + "# Iterasi setiap trial\n", + "for trial_id, trial in trials.items():\n", + " row = {\n", + " \"Trial ID\": trial_id,\n", + " \"Score\": trial.score\n", + " }\n", + " # Tambahkan semua hyperparameter ke dalam dictionary\n", + " row.update(trial.hyperparameters.values)\n", + "\n", + " # Tambahkan ke list\n", + " data.append(row)\n", + "\n", + "# Buat DataFrame\n", + "df_trials = pd.DataFrame(data)\n", + "df_trials = df_trials.sort_values(by=\"Score\", ascending=False)\n", + "# Tampilkan DataFrame\n", + "display(df_trials)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 206 + }, + "id": "VvFWyM8WJwZf", + "outputId": "5503a144-958b-47a1-841b-9f38756ec44c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + " Trial ID Score filters kernel_size l2_reg_conv dense_units \\\n", + "0 0 1.000000 48 3 0.000656 48 \n", + "4 4 1.000000 64 3 0.000140 48 \n", + "2 2 0.933333 64 3 0.001450 32 \n", + "1 1 0.922222 16 3 0.000307 128 \n", + "3 3 0.711111 32 3 0.000675 16 \n", + "\n", + " l2_reg_dense optimizer learning_rate \n", + "0 0.005978 adam 0.0010 \n", + "4 0.005242 adam 0.0010 \n", + "2 0.000413 adam 0.0001 \n", + "1 0.001715 rmsprop 0.0100 \n", + "3 0.000141 rmsprop 0.0001 " + ], + "text/html": [ + "\n", + "
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Trial IDScorefilterskernel_sizel2_reg_convdense_unitsl2_reg_denseoptimizerlearning_rate
001.0000004830.000656480.005978adam0.0010
441.0000006430.000140480.005242adam0.0010
220.9333336430.001450320.000413adam0.0001
110.9222221630.0003071280.001715rmsprop0.0100
330.7111113230.000675160.000141rmsprop0.0001
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\n" + ], + "application/vnd.google.colaboratory.intrinsic+json": { + "type": "dataframe", + "variable_name": "df_trials", + "summary": "{\n \"name\": \"df_trials\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Trial ID\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"4\",\n \"3\",\n \"2\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Score\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.118738213816186,\n \"min\": 0.7111111283302307,\n \"max\": 1.0,\n \"num_unique_values\": 4,\n \"samples\": [\n 0.9333333174387614,\n 0.7111111283302307,\n 1.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"filters\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 20,\n \"min\": 16,\n \"max\": 64,\n \"num_unique_values\": 4,\n \"samples\": [\n 64,\n 32,\n 48\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"kernel_size\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 3,\n \"max\": 3,\n \"num_unique_values\": 1,\n \"samples\": [\n 3\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"l2_reg_conv\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0005047113543128985,\n \"min\": 0.00014023399602325874,\n \"max\": 0.001450488633461591,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.00014023399602325874\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"dense_units\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 43,\n \"min\": 16,\n \"max\": 128,\n \"num_unique_values\": 4,\n \"samples\": [\n 32\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"l2_reg_dense\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0027364463468293877,\n \"min\": 0.00014111965749931114,\n \"max\": 0.005977728042983696,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.005241515692754444\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"optimizer\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"rmsprop\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"learning_rate\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.004250058823122334,\n \"min\": 0.0001,\n \"max\": 0.01,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.001\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" + } + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(tuner.get_best_hyperparameters()[0].values)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "dyxga3JvVcNJ", + "outputId": "192f0f4f-ed50-4f7a-e7e2-c6fe16204da8" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "{'filters': 48, 'kernel_size': 3, 'l2_reg_conv': 0.0006562536901904111, 'dense_units': 48, 'l2_reg_dense': 0.005977728042983696, 'optimizer': 'adam', 'learning_rate': 0.001}\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "### Save Hyperparameter df" + ], + "metadata": { + "id": "3Z6fMRg0U-gC" + } + }, + { + "cell_type": "code", + "source": [ + "df_trials.to_excel(\"Hyperparameters.xlsx\", index=False)" + ], + "metadata": { + "id": "GiXlufiXU9vF" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "markdown", + "source": [ + "# Modelling Using Best Parameter" + ], + "metadata": { + "id": "N3TfM2fbvj0R" + } + }, + { + "cell_type": "code", + "source": [ + "X = df.iloc[:, :-2].values\n", + "y = df['Label'].values\n", + "accuracies = []\n", + "skf = StratifiedKFold(n_splits=5, shuffle=True, random_state=42)\n", + "for fold, (train_idx, val_idx) in enumerate(skf.split(X, y), 1):\n", + " print(f\"\\nFold {fold}\")\n", + "\n", + " # Split data\n", + " X_train, X_val = X[train_idx], X[val_idx]\n", + " y_train, y_val = y[train_idx], y[val_idx]\n", + "\n", + " # Convert to tf.data.Dataset\n", + " train_ds = tf.data.Dataset.from_tensor_slices((X_train, y_train))\n", + " val_ds = tf.data.Dataset.from_tensor_slices((X_val, y_val))\n", + "\n", + " # Shuffle, batch, cache, prefetch\n", + " train_ds = train_ds.shuffle(buffer_size=len(X_train), seed=42) \\\n", + " .batch(12) \\\n", + " .cache() \\\n", + " .prefetch(tf.data.AUTOTUNE)\n", + "\n", + " val_ds = val_ds.batch(12).cache().prefetch(tf.data.AUTOTUNE)\n", + "\n", + " best_hp = tuner.get_best_hyperparameters()[0]\n", + " model = tuner.hypermodel.build(best_hp)\n", + " hist = model.fit(train_ds, epochs=100, validation_data=val_ds, callbacks=callbacks)\n", + "\n", + " plt.figure(figsize=(12, 5))\n", + " # Plot untuk accuracy dan val_accuracy\n", + " plt.title(\"Accuracy and Val Accuracy\")\n", + " plt.plot(hist.history['accuracy'], label='Train', color='red') # Gunakan label, bukan labels\n", + " plt.plot(hist.history['val_accuracy'], label='Val', color='green') # Gunakan label, bukan labels\n", + " plt.legend() # Panggil legend setelah semua plot ditambahkan\n", + " plt.xlabel('Epoch')\n", + " plt.ylabel('Accuracy')\n", + " plt.show()\n", + "\n", + " # Evaluate\n", + " loss, acc = model.evaluate(val_ds, verbose=0)\n", + " print(f\"Accuracy Fold {fold}: {acc:.4f}\")\n", + "\n", + " accuracies.append(acc)\n", + "\n", + "print(f\"\\nAverage Accuracy: {np.mean(accuracies):.4f}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "K7no1gMCRncs", + "outputId": "17413b26-a289-4abe-b986-1289ec833693" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\n", + "Fold 1\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 71ms/step - accuracy: 0.2651 - loss: 2.1802 - val_accuracy: 0.2000 - val_loss: 1.9714 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.2595 - loss: 1.9394 - val_accuracy: 0.4333 - val_loss: 1.7638 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4485 - loss: 1.7237 - val_accuracy: 0.4333 - val_loss: 1.6394 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5834 - loss: 1.5730 - val_accuracy: 0.4667 - val_loss: 1.5271 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5566 - loss: 1.4590 - val_accuracy: 0.5000 - val_loss: 1.4293 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5788 - loss: 1.3487 - val_accuracy: 0.5667 - val_loss: 1.3228 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6688 - loss: 1.2636 - val_accuracy: 0.6333 - val_loss: 1.2376 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7173 - loss: 1.1508 - val_accuracy: 0.6000 - val_loss: 1.1544 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7531 - loss: 1.0958 - val_accuracy: 0.6333 - val_loss: 1.0820 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8252 - loss: 0.9918 - val_accuracy: 0.6333 - val_loss: 1.0096 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.8264 - loss: 0.9463 - val_accuracy: 0.6667 - val_loss: 0.9518 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8877 - loss: 0.8476 - val_accuracy: 0.7000 - val_loss: 0.8875 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9106 - loss: 0.8069 - val_accuracy: 0.7000 - val_loss: 0.8355 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9403 - loss: 0.7382 - val_accuracy: 0.7667 - val_loss: 0.7811 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9433 - loss: 0.6941 - val_accuracy: 0.7667 - val_loss: 0.7383 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9481 - loss: 0.6446 - val_accuracy: 0.8333 - val_loss: 0.6913 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.9481 - loss: 0.6098 - val_accuracy: 0.8333 - val_loss: 0.6569 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9481 - loss: 0.5745 - val_accuracy: 0.9000 - val_loss: 0.6191 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9668 - loss: 0.5449 - val_accuracy: 0.8333 - val_loss: 0.5946 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9668 - loss: 0.5176 - val_accuracy: 0.9000 - val_loss: 0.5627 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9668 - loss: 0.4952 - val_accuracy: 0.9000 - val_loss: 0.5395 - learning_rate: 0.0010\n", + "Epoch 22/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9668 - loss: 0.4737 - val_accuracy: 0.9000 - val_loss: 0.5170 - learning_rate: 0.0010\n", + "Epoch 23/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9668 - loss: 0.4607 - val_accuracy: 0.9667 - val_loss: 0.4913 - learning_rate: 0.0010\n", + "Epoch 24/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9712 - loss: 0.4405 - val_accuracy: 0.9667 - val_loss: 0.4727 - learning_rate: 0.0010\n", + "Epoch 25/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9828 - loss: 0.4262 - val_accuracy: 0.9000 - val_loss: 0.4677 - learning_rate: 0.0010\n", + "Epoch 26/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 1: 1.0000\n", + "\n", + "Fold 2\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 64ms/step - accuracy: 0.3198 - loss: 2.2166 - val_accuracy: 0.3000 - val_loss: 1.9603 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.2780 - loss: 1.9526 - val_accuracy: 0.3667 - val_loss: 1.7237 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4023 - loss: 1.6635 - val_accuracy: 0.5000 - val_loss: 1.5807 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6365 - loss: 1.4799 - val_accuracy: 0.3667 - val_loss: 1.4486 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5131 - loss: 1.3786 - val_accuracy: 0.5000 - val_loss: 1.3188 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6538 - loss: 1.2584 - val_accuracy: 0.5333 - val_loss: 1.2044 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6755 - loss: 1.1723 - val_accuracy: 0.7667 - val_loss: 1.1102 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7350 - loss: 1.0988 - val_accuracy: 0.8333 - val_loss: 1.0188 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7982 - loss: 1.0167 - val_accuracy: 0.9333 - val_loss: 0.9464 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8582 - loss: 0.9600 - val_accuracy: 0.9667 - val_loss: 0.8731 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9180 - loss: 0.8843 - val_accuracy: 0.9333 - val_loss: 0.8141 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9180 - loss: 0.8255 - val_accuracy: 0.9333 - val_loss: 0.7657 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9156 - loss: 0.7776 - val_accuracy: 0.9333 - val_loss: 0.7233 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9224 - loss: 0.7352 - val_accuracy: 0.9333 - val_loss: 0.6818 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9445 - loss: 0.6876 - val_accuracy: 0.9333 - val_loss: 0.6491 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9592 - loss: 0.6462 - val_accuracy: 0.9333 - val_loss: 0.6141 - learning_rate: 0.0010\n", + "Epoch 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 2: 1.0000\n", + "\n", + "Fold 3\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 63ms/step - accuracy: 0.3161 - loss: 2.1486 - val_accuracy: 0.4667 - val_loss: 1.9231 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4762 - loss: 1.8527 - val_accuracy: 0.5667 - val_loss: 1.7024 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6411 - loss: 1.6629 - val_accuracy: 0.5667 - val_loss: 1.5590 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.6466 - loss: 1.5057 - val_accuracy: 0.6000 - val_loss: 1.4261 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7467 - loss: 1.3869 - val_accuracy: 0.5667 - val_loss: 1.3259 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7533 - loss: 1.2957 - val_accuracy: 0.6667 - val_loss: 1.2242 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7933 - loss: 1.2015 - val_accuracy: 0.7000 - val_loss: 1.1361 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8014 - loss: 1.1175 - val_accuracy: 0.8000 - val_loss: 1.0546 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8635 - loss: 1.0315 - val_accuracy: 0.8333 - val_loss: 0.9623 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 7ms/step - accuracy: 0.8707 - loss: 0.9646 - val_accuracy: 0.8000 - val_loss: 0.8984 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8707 - loss: 0.8857 - val_accuracy: 0.9000 - val_loss: 0.8262 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9166 - loss: 0.8243 - val_accuracy: 0.9000 - val_loss: 0.7636 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9190 - loss: 0.7635 - val_accuracy: 0.9333 - val_loss: 0.7014 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9280 - loss: 0.7124 - val_accuracy: 0.9667 - val_loss: 0.6511 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.9280 - loss: 0.6665 - val_accuracy: 0.9667 - val_loss: 0.6057 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.9324 - loss: 0.6320 - val_accuracy: 1.0000 - val_loss: 0.5770 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9569 - loss: 0.5969 - val_accuracy: 0.9667 - val_loss: 0.5355 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9381 - loss: 0.5584 - val_accuracy: 1.0000 - val_loss: 0.5128 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.9625 - loss: 0.5343 - val_accuracy: 1.0000 - val_loss: 0.4848 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9625 - loss: 0.5086 - val_accuracy: 1.0000 - val_loss: 0.4605 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 3: 1.0000\n", + "\n", + "Fold 4\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 67ms/step - accuracy: 0.2094 - loss: 2.2134 - val_accuracy: 0.2667 - val_loss: 1.9787 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.3303 - loss: 1.9239 - val_accuracy: 0.4333 - val_loss: 1.7484 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5574 - loss: 1.6246 - val_accuracy: 0.3667 - val_loss: 1.6172 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4120 - loss: 1.4848 - val_accuracy: 0.4000 - val_loss: 1.5210 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4721 - loss: 1.3831 - val_accuracy: 0.6667 - val_loss: 1.4348 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6378 - loss: 1.2744 - val_accuracy: 0.6000 - val_loss: 1.3517 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.5910 - loss: 1.2075 - val_accuracy: 0.8000 - val_loss: 1.2759 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6722 - loss: 1.1351 - val_accuracy: 0.8000 - val_loss: 1.2027 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6822 - loss: 1.0759 - val_accuracy: 0.8000 - val_loss: 1.1291 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7458 - loss: 1.0189 - val_accuracy: 0.8000 - val_loss: 1.0568 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8508 - loss: 0.9607 - val_accuracy: 0.8000 - val_loss: 0.9863 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9075 - loss: 0.9174 - val_accuracy: 0.8000 - val_loss: 0.9216 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9206 - loss: 0.8629 - val_accuracy: 0.8667 - val_loss: 0.8646 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9147 - loss: 0.8198 - val_accuracy: 0.8667 - val_loss: 0.8098 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9261 - loss: 0.7772 - val_accuracy: 0.8667 - val_loss: 0.7618 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9506 - loss: 0.7374 - val_accuracy: 0.9333 - val_loss: 0.7203 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9276 - loss: 0.7105 - val_accuracy: 0.9667 - val_loss: 0.6833 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9712 - loss: 0.6673 - val_accuracy: 0.9333 - val_loss: 0.6549 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9712 - loss: 0.6370 - val_accuracy: 0.9667 - val_loss: 0.6245 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.9712 - loss: 0.6067 - val_accuracy: 0.8333 - val_loss: 0.6170 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 4: 1.0000\n", + "\n", + "Fold 5\n", + "Epoch 1/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 62ms/step - accuracy: 0.1677 - loss: 2.1732 - val_accuracy: 0.2333 - val_loss: 1.8945 - learning_rate: 0.0010\n", + "Epoch 2/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.2848 - loss: 1.8781 - val_accuracy: 0.3333 - val_loss: 1.6708 - learning_rate: 0.0010\n", + "Epoch 3/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.3994 - loss: 1.6545 - val_accuracy: 0.3333 - val_loss: 1.5049 - learning_rate: 0.0010\n", + "Epoch 4/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.4238 - loss: 1.5057 - val_accuracy: 0.4667 - val_loss: 1.3763 - learning_rate: 0.0010\n", + "Epoch 5/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.5301 - loss: 1.3900 - val_accuracy: 0.6000 - val_loss: 1.2741 - learning_rate: 0.0010\n", + "Epoch 6/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.6468 - loss: 1.2928 - val_accuracy: 0.6333 - val_loss: 1.1863 - learning_rate: 0.0010\n", + "Epoch 7/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6787 - loss: 1.2099 - val_accuracy: 0.6333 - val_loss: 1.1121 - learning_rate: 0.0010\n", + "Epoch 8/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6787 - loss: 1.1343 - val_accuracy: 0.6333 - val_loss: 1.0436 - learning_rate: 0.0010\n", + "Epoch 9/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.6787 - loss: 1.0665 - val_accuracy: 0.6333 - val_loss: 0.9801 - learning_rate: 0.0010\n", + "Epoch 10/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.7110 - loss: 1.0064 - val_accuracy: 0.7333 - val_loss: 0.9207 - learning_rate: 0.0010\n", + "Epoch 11/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7314 - loss: 0.9464 - val_accuracy: 0.8000 - val_loss: 0.8666 - learning_rate: 0.0010\n", + "Epoch 12/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.7970 - loss: 0.8870 - val_accuracy: 0.8333 - val_loss: 0.8117 - learning_rate: 0.0010\n", + "Epoch 13/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8658 - loss: 0.8293 - val_accuracy: 0.8667 - val_loss: 0.7664 - learning_rate: 0.0010\n", + "Epoch 14/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.8772 - loss: 0.7833 - val_accuracy: 0.8667 - val_loss: 0.7188 - learning_rate: 0.0010\n", + "Epoch 15/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.8953 - loss: 0.7322 - val_accuracy: 0.9000 - val_loss: 0.6799 - learning_rate: 0.0010\n", + "Epoch 16/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.9182 - loss: 0.6923 - val_accuracy: 0.9000 - val_loss: 0.6365 - learning_rate: 0.0010\n", + "Epoch 17/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9226 - loss: 0.6476 - val_accuracy: 0.9333 - val_loss: 0.6055 - learning_rate: 0.0010\n", + "Epoch 18/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9412 - loss: 0.6150 - val_accuracy: 0.9333 - val_loss: 0.5686 - learning_rate: 0.0010\n", + "Epoch 19/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - accuracy: 0.9642 - loss: 0.5759 - val_accuracy: 0.9667 - val_loss: 0.5402 - learning_rate: 0.0010\n", + "Epoch 20/100\n", + "\u001b[1m10/10\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - accuracy: 0.9642 - loss: 0.5476 - val_accuracy: 0.9667 - val_loss: 0.5120 - learning_rate: 0.0010\n", + "Epoch 21/100\n", + "\u001b[1m10/10\u001b[0m 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Accuracy Fold 5: 1.0000\n", + "\n", + "Average Accuracy: 1.0000\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Visualisasi akurasi tiap fold\n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(range(1, len(accuracies) + 1), accuracies, marker='o', linestyle='-', color='blue', label='Fold Accuracy')\n", + "plt.axhline(np.mean(accuracies), color='red', linestyle='--', label=f'Average Accuracy: {np.mean(accuracies):.4f}')\n", + "plt.title(\"Validation Accuracy per Fold\")\n", + "plt.xlabel(\"Fold\")\n", + "plt.ylabel(\"Accuracy\")\n", + "plt.xticks(range(1, len(accuracies) + 1))\n", + "plt.legend()\n", + "plt.grid(True)\n", + "plt.show()" + ], + "metadata": { + "id": "YloYpnMlR2Cj", + "outputId": "7444ee22-0484-4ebe-91fb-07ad73e638e3", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 485 + } + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Evaluation and Plotting" + ], + "metadata": { + "id": "LcgPa-emwaWe" + } + }, + { + "cell_type": "code", + "source": [ + "plt.rcParams['font.serif'] = \"Times New Roman\"\n", + "plt.rcParams['font.family'] = \"serif\"\n", + "\n", + "plt.figure(figsize=(12, 5))\n", + "plt.subplot(1, 2, 1)\n", + "# Plot untuk accuracy dan val_accuracy\n", + "plt.title(\"Accuracy and Val Accuracy\")\n", + "plt.plot(hist_early.history['accuracy'], label='Train', color='red') # Gunakan label, bukan labels\n", + "plt.plot(hist_early.history['val_accuracy'], label='Val', color='green') # Gunakan label, bukan labels\n", + "plt.legend() # Panggil legend setelah semua plot ditambahkan\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Accuracy')\n", + "\n", + "plt.subplot(1, 2, 2)\n", + "# Plot untuk loss dan val_loss\n", + "plt.title(\"Loss and Val Loss\")\n", + "plt.plot(hist_early.history['loss'], label='Train', color='red') # Gunakan label, bukan labels\n", + "plt.plot(hist_early.history['val_loss'], label='Val', color='green') # Gunakan label, bukan labels\n", + "plt.legend() # Panggil legend setelah semua plot ditambahkan\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Loss')\n", + "plt.show()\n", + "\n", + "plt.figure(figsize=(12, 5))\n", + "plt.subplot(1, 2, 1)\n", + "# Plot untuk accuracy dan val_accuracy\n", + "plt.title(\"Accuracy and Val Accuracy\")\n", + "plt.plot(hist.history['accuracy'], label='Train', color='red') # Gunakan label, bukan labels\n", + "plt.plot(hist.history['val_accuracy'], label='Val', color='green') # Gunakan label, bukan labels\n", + "plt.legend() # Panggil legend setelah semua plot ditambahkan\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Accuracy')\n", + "\n", + "plt.subplot(1, 2, 2)\n", + "# Plot untuk loss dan val_loss\n", + "plt.title(\"Loss and Val Loss\")\n", + "plt.plot(hist.history['loss'], label='Train', color='red') # Gunakan label, bukan labels\n", + "plt.plot(hist.history['val_loss'], label='Val', color='green') # Gunakan label, bukan labels\n", + "plt.legend() # Panggil legend setelah semua plot ditambahkan\n", + "plt.xlabel('Epoch')\n", + "plt.ylabel('Loss')\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 931 + }, + "id": "QisxQIC9wdVG", + "outputId": "ef980c2b-234c-4be3-ec1b-f6577cbe960d" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "from sklearn.metrics import classification_report, confusion_matrix, ConfusionMatrixDisplay\n", + "\n", + "# Konversi tf.data.Dataset ke array NumPy\n", + "X_test_array = np.array(list(X_test.as_numpy_iterator()))\n", + "y_test_array = np.array(list(y_test.as_numpy_iterator()))\n", + "\n", + "# Lakukan prediksi Menggunakan Model Awal\n", + "print(\"Model Awal\")\n", + "y_pred = early_model.predict(X_test_array)\n", + "y_pred = np.argmax(y_pred, axis=1)\n", + "y_pred = encoder.inverse_transform(y_pred)\n", + "y_actual = encoder.inverse_transform(y_test_array)\n", + "print(classification_report(y_actual, y_pred))\n", + "disp = ConfusionMatrixDisplay(confusion_matrix(y_actual, y_pred), display_labels=classes)\n", + "disp.plot(cmap=plt.cm.Blues)\n", + "plt.title(\"Model Awal\")\n", + "plt.show()\n", + "\n", + "# Lakukan prediksi Menggunakan Model yang sudah dihyperparameter tune\n", + "print(\"Model Setelah dilakukan hyperparameter tune\")\n", + "y_pred = model.predict(X_test_array)\n", + "y_pred = np.argmax(y_pred, axis=1)\n", + "y_pred = encoder.inverse_transform(y_pred)\n", + "y_actual = encoder.inverse_transform(y_test_array)\n", + "print(classification_report(y_actual, y_pred))\n", + "disp = ConfusionMatrixDisplay(confusion_matrix(y_actual, y_pred), display_labels=classes)\n", + "disp.plot(cmap=plt.cm.Blues)\n", + "plt.title(\"Model Setelah dilakukan hyperparameter tune\")\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "tAfS-Rmx0e3W", + "outputId": "729bb971-88a6-4e2c-d6cd-6fc87d8c9448" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model Awal\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 366ms/step\n", + " precision recall f1-score support\n", + "\n", + " Bitter 0.75 1.00 0.86 6\n", + " Ideal 0.67 1.00 0.80 6\n", + " Strong 1.00 1.00 1.00 6\n", + "Underdeveloped 1.00 0.33 0.50 6\n", + " Weak 0.20 0.17 0.18 6\n", + "\n", + " accuracy 0.70 30\n", + " macro avg 0.72 0.70 0.67 30\n", + " weighted avg 0.72 0.70 0.67 30\n", + "\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Model Setelah dilakukan hyperparameter tune\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 310ms/step\n", + " precision recall f1-score support\n", + "\n", + " Bitter 1.00 1.00 1.00 6\n", + " Ideal 1.00 1.00 1.00 6\n", + " Strong 1.00 1.00 1.00 6\n", + "Underdeveloped 1.00 1.00 1.00 6\n", + " Weak 1.00 1.00 1.00 6\n", + "\n", + " accuracy 1.00 30\n", + " macro avg 1.00 1.00 1.00 30\n", + " weighted avg 1.00 1.00 1.00 30\n", + "\n" + ] + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Save Model" + ], + "metadata": { + "id": "I8hjO-wg0Ztt" + } + }, + { + "cell_type": "code", + "source": [ + "# h5 model\n", + "model.save(\"coffee_random_stratified.h5\")\n", + "\n", + "\n", + "# tflite model\n", + "converter = tf.lite.TFLiteConverter.from_keras_model(model)\n", + "tflite_model = converter.convert()\n", + "\n", + "# Save the model.\n", + "with open('coffee_random_stratified.tflite', 'wb') as f:\n", + " f.write(tflite_model)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ZIpZThdV1PoP", + "outputId": "b119bc30-ea5f-41ac-e8be-0dbce8ddda4c" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Saved artifact at '/tmp/tmpcc6eu5ee'. The following endpoints are available:\n", + "\n", + "* Endpoint 'serve'\n", + " args_0 (POSITIONAL_ONLY): TensorSpec(shape=(None, 18, 1), dtype=tf.float32, name='keras_tensor_16')\n", + "Output Type:\n", + " TensorSpec(shape=(None, 5), dtype=tf.float32, name=None)\n", + "Captures:\n", + " 137608608138064: TensorSpec(shape=(), dtype=tf.resource, name=None)\n", + " 137608608138256: TensorSpec(shape=(), dtype=tf.resource, name=None)\n", + " 137608608140176: TensorSpec(shape=(), dtype=tf.resource, name=None)\n", + " 137608608142096: TensorSpec(shape=(), dtype=tf.resource, name=None)\n", + " 137605391604752: TensorSpec(shape=(), dtype=tf.resource, name=None)\n", + " 137605391602832: TensorSpec(shape=(), dtype=tf.resource, name=None)\n" + ] + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Load Model" + ], + "metadata": { + "id": "7dNUjIJH1j4a" + } + }, + { + "cell_type": "code", + "source": [ + "from tensorflow.keras.models import load_model\n", + "from tensorflow.keras.utils import plot_model\n", + "\n", + "\n", + "# Load the model from a file (update the filename as needed)\n", + "model = load_model(\"coffee_random.h5\") # or \"your_model_directory\" if using SavedModel format\n", + "# Plot and save the model architecture\n", + "plot_model(model, to_file=\"model_plot.png\", show_shapes=True, show_layer_names=True, show_layer_activations=True)\n", + "\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "4YjX3XY71lF-", + "outputId": "0799f719-9e17-435c-e3fa-c74d9cb597fd" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:absl:Compiled the loaded model, but the compiled metrics have yet to be built. `model.compile_metrics` will be empty until you train or evaluate the model.\n" + ] + }, + { + "output_type": "execute_result", + "data": { + "image/png": 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fW6179uzZcujQIWnYsKEsX75cEhISJDc3Vy5duiRffvmlNG7c2LRvXl6ezJkzx7Ce0aNHa7p+du/eXTZs2CDnz5+XnJwcyczMlJ9//lleeOEFTdfpl156yawLqrPu9auvvqoZG3jHHXfIokWL5NixY5KZmSkZGRkSHx8vb731lkRERGiO+/bbb63+HZ1h165dZt3K/fz85IEHHrC7jqtXr8rAgQPNXnfx8fGG44oLY/PmzTJkyBC7gja969evy1NPPSXffPON2XMFk623pKWlyezZs2XPnj121Z+UlCTTpk0zfO7vf/+7rF27tnANlpvLIq5bt67QxxVFt27dZOzYsYVaQcCaX3/91Sy4rFy5stx2220Oqd9RStp1R0VFmbU1IyPDbEw0tAr+h8HHx8diV+3CaNCggeZzbu/evU6fpLiw3/vEMZ4bxzgyhhEhjhEhhinIm2IYX19f6du3r9n22NhYwyTX77//bpjs7N+/v1PaV5AjYw7iDQexpxtKaRqSU7DLpI+PjwoODladO3dW165dM9z/8uXLqmLFiqZjateurXl+2bJlZn+LXr16qevXrxvWl5KSoho0aKDZPz4+XrOPI7uy3pKVlaU5p6VuwfbKz89XZcuWNdU3Z84cm8c8+eSTqkqVKuq+++5Tc+fO1Tyn78oaFBSkoqKiVGZmpmFdV65cUZUqVdJ0FdT7/fffze6LNW+//bZmf30XWWfc69OnTyt/f3/T8127drX4WlRKqXPnzqk6deqY9m/SpInVa3KGgq/PW6Vx48YW9zfqzjp69GillFI7duwwe65KlSoqLS3NrB57urMmJydrXhcFy8CBA9WePXtUenq6ysjIULt371Z9+/Y13Pe2224ze+1t3rzZbL+yZcuqChUqKF9fXzVu3Dh16tQplZ2drQ4ePKh69OhhWHdERITZa+bIkSPK19fXbN977rlHbd68WV24cEGlpKSoXbt2qa5du5rtV7duXZWTk1PUW+oQRekmunLlSovdXbOzs9XixYtVVFSUql69ugoMDFSRkZGqXbt2asaMGery5cuuuCybPPW669WrZ3aOd955p9jXWxyePiQnIiLC1Ja77rrLYfWOGzdOc51GQxvc+b1PHOOZcYyjYxiliGOUIobx5hjm7NmzKiwszOz8vXv3VgcPHlTZ2dkqLS1NbdmyRTVq1MhsvwcffFDl5+c7vZ3WFDbm8NZ4QymG5DiMUkqCg4Nl1apVUqZMGcN9IiIiNNnEv/76y2yiqIJCQkJkyZIlFic5q1ChgsyaNUuzbePGjUVovXulpKRoJk/SLy1lZOXKlXLx4kXZv3+/jBs3zuq+ZcuWlU8//VTKli1r+HzFihUlJibG9Pj8+fNm9+X8+fPSoUMHadCggYSGhsqYMWOsnnPs2LGaHki2ZuN3xL1+5513JC8vT0REIiMjZfXq1RZfiyIi1atXl4ULF5oeHzlyxOXLLB46dMhsmz33v6Bb19yxY0fp2bOn5rnExER56623itS2hQsXyuXLl822v/HGGxIbGyutW7eWkJAQKVeunLRp00Y+//xzw9fFhQsXZPXq1ZptRpn+a9euSWpqqrz33nsyd+5cqVevngQFBUmzZs1k3bp1ZhPDidzsivzbb79pthktdVenTh35/vvvpWvXrqaupG3btpXNmzdL9+7dNfuePn3aZb1MHOnixYtm28LDw+Xo0aPSokULeeaZZ2Tbtm1y/vx50y+zu3btktdee01uv/12iY2NdUOri88V112wd+QtRu9d3JSXl6fpam60pGRRNWnSRPP4woULDqvbGYhjLHNlHOPsGEbEO+MYYpj/8bYYpkaNGrJx40ZNLycRkXXr1knz5s0lODhYQkNDJTo62mwKhrZt28ratWsd1tPUVYg3HMOrEyYiIk899ZRUqlTJ6j7NmzfXPLY2u3e/fv3M3oh63bt318wqvGvXLjta6llCQ0M1XTs3bdrk0PqHDh1q8740bdpU8zg5OVnzuEOHDvLf//5Xjh8/LqmpqfLQQw9Zra9s2bJSs2ZN02OjL62CHHGvCy5xNnDgQLuWC+vSpYumnRs2bLB5jCMZjfVu2LBhkeubNWuWJsgTuRmAFWUm8sWLF5ttu/POO+W1116zeMzMmTMNZx5fuXKlXee87777DAMWPz8/i7PmF1x168aNG4ZL3b344osSGhpqsc16RekK625Gyef09HTp2rWrHD161Oqx6enpMmjQIFmyZImzmuc0rrhuo/ekvauKeSP9uPzirICkp6/L0hwAnoI4xjGKG8c4O4YR8c44hhhGy9timHbt2kl8fLyMHTtWs/S7ER8fH2nbtq189NFHsmPHDgkPD3dJGx2JeMMxvD5hYusLSETMvvCMlqW6xZ4xkP7+/nLPPfeYHltastiT+fn5SadOnUyP3333XRk7dqycP3/eIfXbMxmR/r44Yt3vgr+K3PoFwZLi3usLFy5ovrgL7mdL69atTf+Oj4+3+zhHMJogqzhjIRs0aCAjR47UbMvOzpaJEycWqp4zZ87IH3/8YbZ9wIABmrHdemXLlpVHHnnEbPv+/fttvgZEbiZdLTH6dUbk5i+bt/zyyy+ax7e0bNnSYr133XWX2Rf39u3bbbTU8xhNDLd79245e/as3XWMGTNGTp8+7chmOZ0rrrt69epm286dO2d3/d5GH1Ra6hVQFPplF631UvUExDElN44pTAwj4p1xDDGMljfGMOfOnZPU1FSbEzcrpSQhIUEOHz4sf/75p2sa52DEG47h9QmTOnXq2NxHP7O0tTeY/tcCS2rXrm36d2FetJ5k9uzZmi/nefPmSa1ataRdu3by+uuvy7fffms2sZa9atWqZXMf/QRW1u5LYmKifPzxxzJ06FBp37693HHHHVKlShUJDw+XkJAQCQ4OFn9/f5vZ1oKKe6/PnDmj2W/IkCHi4+NjVyk42ZyrVyi4dOmS2TZbWXpbpkyZYjZ7+WeffVaoSaMsdT+2ZyJAoyAvKyvLrpUTCgZ9epUqVTIMdApO+mgUIIncDFQs3X9fX1+znm5XrlwxnNHdk1lbTaBDhw6ybds2uXLliqSnp0tcXJxZbz+Rm3/L2bNnO7OZDueK6zb6D0BJe324kv5XcaMJM4tKX5en/0pJHON5cYwzYhgR74xjiGG0vCmGyc/Pl/Hjx0vr1q1lxYoVdp3vzz//lHnz5knjxo1l/vz5Tm2fMxBvOIbXJ0z0v/wUl73deAt+sGZlZTlkGTJXu+eee+Sbb76R22+/3bQtPz9fdu/eLTNmzJCoqCgJDw+X6OhoWbJkSaECUEf9upeTkyPjxo2T2rVry7Bhw2TZsmWya9cuOXXqlCQlJUlKSopkZmZKTk6OZjlJexT3XuuHEBWVUWbfWa5fv264VFhx71dERIRMnjzZbHvBMeK2xo0aBUEiItWqVbN5fkvBkj33yFqg5efnZ7iMXWHPYa/CLI3pCcqXL2+4vW3btrJt2zZ56KGHpGLFihISEiLR0dGyc+dOw/tZ0uZvccV1G70nHdELr7QKDw/XfMbYM5zBXvr3uK0hEO5GHOM5cYwzYxgR74tjiGHsP1ak9MUwr7/+usydO1eTmPT395fXX39djh8/Ljk5OZKamio7duyQRx99VHNsbm6ujB49usQNfybecAyvT5g4Wrly5ezaT/+rQlGWD/ME7dq1k5MnT0psbKy0atXK7AshOztbtm7dKs8884zUqVNH3nrrLZcFVTk5OfLggw/Ku+++65RlHIt7rzMzMx3SDld277b0dwwODi523c8//7xZj6+9e/fKp59+KiJicVK6W4y6HYqI1cnnbO1jqc6C9D3Q9Kx1pRVx7P1LS0tzWF2uYGl889SpUw2XQAwJCTHs5pyYmFiixsu64rqNXtNKKacvaVtS+fr6auZU+OWXXxxWt37yu4K/1nsi4hjPiGOcHcOIeF8cQwxjzltimJMnT5pNYCwiMnfuXJk2bZo0aNBAAgMDJTQ0VDp27Cjr1683XEJ4/Pjxdg118hTEG45BwsTB7H1xFOzi6ePjY/MDy5P5+fnJwIEDZe/evXLhwgVZtmyZxMTESGRkpGa/lJQUmTRpkjz22GNF+iWksF5//XXZvXu36XFAQIAMGTJEPvvsM/npp5/k9OnTkpycLOnp6ZKVlSV5eXnSuHFju+sv7r3WZ323bt0qSqlCF0d2HS8qW+NA7REUFGQ4s/zEiRMlOzvbZkBj6UvBnoDO0j62fllxBEvZ/6KwJzjyJEbjXkWsj4O31D25JHX/dMV1O+I96W3atWtn+vf58+cdNma9YLf8ihUr2j0Mwl2IYzwjjnF2DCNCHHMLMUzRlZQYJjY21izRERYWZjb/TEFGk+GeOXNG8770dMQbjkHCxMHs/dAv2P2wfPnyxV6mylN+Wa5SpYo89dRT8umnn0piYqIcOHBAJk6cqBkfvn79elmwYIFT25Gdna2ZbTw8PFx+/PFH+eSTT+Txxx+XFi1ayO23364Z/+vn51eoAKi491o/Zt7TV04QsfwrRlHHeOvFxMRIq1atNNvOnDkjc+fOtTnzvj6wvcWeiacsTfJnqU5HsjSfwc8//1zooNPo1xBPZmkpR2u/3lr68i9Jv2674rqN3pMl/T+1ztaxY0fN42XLlhW7zuPHj2vmJvjb3/5m8xdbeznre584xv1xjCtiGBHvi2OIYRyvpMQwBw8eNNvWoEEDsxWO9M8bOXz4sMPa5WzEG45BwsTB9GuTW1Lwlyt999yCQceNGzfs+gL0xNmbfXx85N5775W33npLjh49KnfccYfpOaNucY50+PBhzRf8pEmTbM7enpubW6iJ64p7rxs2bKi510eOHLH73O7i5+dn+OVibeWowvrXv/5ltu3tt9+2+T649957Dbfv27fP5jmN9gkPD5e6devaPLa4GjVqZLi9pE6iWBgNGzY0HPt6/Phxi8dYWtbd0+eFKMgV1230nnTkyi+lUb9+/TR/o4ULFxb7P/EffPCB5vGQIUMM9/Ok733imP9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\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "execution_count": 44 + } + ] + }, + { + "cell_type": "code", + "source": [ + "X = sample.iloc[:, :-2].values\n", + "y = sample['Label'].values\n", + "X.shape, y.shape" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jhWX1FLV_-JZ", + "outputId": "2e6fb340-6870-4dc5-9799-9a0247bcde98" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "((20, 18), (20,))" + ] + }, + "metadata": {}, + "execution_count": 45 + } + ] + }, + { + "cell_type": "code", + "source": [ + "classes = ['Bitter','Ideal','Strong','Underdeveloped','Weak']\n", + "y_pred = model.predict(X)\n", + "y_pred = np.argmax(y_pred, axis=1)\n", + "y_pred = np.array([classes[i] for i in y_pred])\n", + "print(classification_report(y_pred, y))" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "jPknxPU3APjh", + "outputId": "03e95b36-6960-4c3d-fafc-160d731cadcd" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:tensorflow:6 out of the last 6 calls to .one_step_on_data_distributed at 0x7edbe2aea520> triggered tf.function retracing. Tracing is expensive and the excessive number of tracings could be due to (1) creating @tf.function repeatedly in a loop, (2) passing tensors with different shapes, (3) passing Python objects instead of tensors. For (1), please define your @tf.function outside of the loop. For (2), @tf.function has reduce_retracing=True option that can avoid unnecessary retracing. For (3), please refer to https://www.tensorflow.org/guide/function#controlling_retracing and https://www.tensorflow.org/api_docs/python/tf/function for more details.\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 167ms/step\n", + " precision recall f1-score support\n", + "\n", + " Bitter 1.00 1.00 1.00 3\n", + " Ideal 1.00 1.00 1.00 5\n", + " Strong 1.00 1.00 1.00 3\n", + "Underdeveloped 1.00 1.00 1.00 5\n", + " Weak 1.00 1.00 1.00 4\n", + "\n", + " accuracy 1.00 20\n", + " macro avg 1.00 1.00 1.00 20\n", + " weighted avg 1.00 1.00 1.00 20\n", + "\n" + ] + } + ] + } + ] +} \ No newline at end of file diff --git a/Button.py b/Button.py new file mode 100644 index 0000000..7577f37 --- /dev/null +++ b/Button.py @@ -0,0 +1,21 @@ +import RPi.GPIO as GPIO +import time + +# Konfigurasi GPIO +BUTTON_PIN = 22 # Pin GPIO yang digunakan +GPIO.setmode(GPIO.BCM) +GPIO.setup(BUTTON_PIN, GPIO.IN, pull_up_down=GPIO.PUD_DOWN) # Pull-down resistor + +print("Tekan tombol untuk menguji...") + +try: + while True: + if GPIO.input(BUTTON_PIN) == GPIO.HIGH: + print("Tombol ditekan!") + else: + print("Tombol tidak ditekan.") + time.sleep(0.1) # Delay untuk menghindari pembacaan terlalu cepat +except KeyboardInterrupt: + print("Program dihentikan.") +finally: + GPIO.cleanup() diff --git a/Concat.py b/Concat.py new file mode 100644 index 0000000..8faf4b5 --- /dev/null +++ b/Concat.py @@ -0,0 +1,31 @@ +import os +import pandas as pd + +# Path folder yang berisi data txt +label = "Bitter" +path = f"MyData/{label}" + +# Simpan Data +myData = [] +for dir, folder, files in os.walk(path): + # Menggabungkan setiap data dalam folder tertentu + for file in files: + df_temp = pd.read_csv(f"{dir}/{file}", delimiter=';') + data_values = list(df_temp.columns) + myData.append(data_values) + +# 18 Kolom +columns = ['410nm', '435nm', '460nm','485nm', + '510nm', '535nm', '560nm', '585nm', + '610nm', '645nm', '680nm', '705nm', + '730nm', '760nm', '810nm', '860nm', + '900nm', '940nm'] + +# Simpan ke dalam csv +df = pd.DataFrame(myData, columns=columns) +df.head() +df.to_csv(f"Final/{label}.csv", index=False) + + + + diff --git a/Concat.zip b/Concat.zip new file mode 100644 index 0000000..4c510ef Binary files /dev/null and b/Concat.zip differ diff --git a/Model/coffee_grid.h5 b/Model/coffee_grid.h5 new file mode 100644 index 0000000..be9c2e8 Binary files /dev/null and b/Model/coffee_grid.h5 differ diff --git a/Model/coffee_grid.tflite b/Model/coffee_grid.tflite new file mode 100644 index 0000000..efac21f Binary files /dev/null and b/Model/coffee_grid.tflite differ diff --git a/Model/coffee_random.h5 b/Model/coffee_random.h5 new file mode 100644 index 0000000..4a059a1 Binary files /dev/null and b/Model/coffee_random.h5 differ diff --git a/Model/coffee_random.tflite b/Model/coffee_random.tflite new file mode 100644 index 0000000..e8784a8 Binary files /dev/null and b/Model/coffee_random.tflite differ diff --git a/Model/coffee_random_nodropout.h5 b/Model/coffee_random_nodropout.h5 new file mode 100644 index 0000000..64a132f Binary files /dev/null and b/Model/coffee_random_nodropout.h5 differ diff --git a/Model/coffee_random_nodropout.tflite b/Model/coffee_random_nodropout.tflite new file mode 100644 index 0000000..1d356ce Binary files /dev/null and b/Model/coffee_random_nodropout.tflite differ diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A14.txt b/MyData/Bitter/2025-01-31-14%3A05%3A14.txt new file mode 100644 index 0000000..e7a340e --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A14.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A20.txt b/MyData/Bitter/2025-01-31-14%3A05%3A20.txt new file mode 100644 index 0000000..d2bf08a --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A20.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;2.2627949714660645;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A25.txt b/MyData/Bitter/2025-01-31-14%3A05%3A25.txt new file mode 100644 index 0000000..709031d --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A25.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A31.txt b/MyData/Bitter/2025-01-31-14%3A05%3A31.txt new file mode 100644 index 0000000..709031d --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A31.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A37.txt b/MyData/Bitter/2025-01-31-14%3A05%3A37.txt new file mode 100644 index 0000000..a52af17 --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A37.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A44.txt b/MyData/Bitter/2025-01-31-14%3A05%3A44.txt new file mode 100644 index 0000000..8d41c24 --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A44.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A50.txt b/MyData/Bitter/2025-01-31-14%3A05%3A50.txt new file mode 100644 index 0000000..e7a340e --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A50.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A05%3A56.txt b/MyData/Bitter/2025-01-31-14%3A05%3A56.txt new file mode 100644 index 0000000..709031d --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A05%3A56.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A06%3A02.txt b/MyData/Bitter/2025-01-31-14%3A06%3A02.txt new file mode 100644 index 0000000..8d41c24 --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A06%3A02.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter/2025-01-31-14%3A06%3A07.txt b/MyData/Bitter/2025-01-31-14%3A06%3A07.txt new file mode 100644 index 0000000..709031d --- /dev/null +++ b/MyData/Bitter/2025-01-31-14%3A06%3A07.txt @@ -0,0 +1 @@ +11.841914176940918;2.8988311290740967;7.445784091949463;1.7708059549331665;3.017059803009033;6.972563743591309;0.4359263777732849;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A21%3A53.txt b/MyData/Bitter_Cold/2025-01-31-14%3A21%3A53.txt new file mode 100644 index 0000000..c622f89 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A21%3A53.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.156102180480957;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A00.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A00.txt new file mode 100644 index 0000000..f8695d4 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A00.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;1.495895266532898;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A06.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A06.txt new file mode 100644 index 0000000..f8695d4 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A06.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;1.495895266532898;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A11.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A11.txt new file mode 100644 index 0000000..4820534 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A11.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.156102180480957;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A18.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A18.txt new file mode 100644 index 0000000..5c16420 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A18.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A24.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A24.txt new file mode 100644 index 0000000..d8f0902 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A24.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A30.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A30.txt new file mode 100644 index 0000000..f8695d4 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A30.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;1.495895266532898;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A36.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A36.txt new file mode 100644 index 0000000..5c16420 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A36.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A42.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A42.txt new file mode 100644 index 0000000..d8f0902 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A42.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Cold/2025-01-31-14%3A22%3A50.txt b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A50.txt new file mode 100644 index 0000000..5c16420 --- /dev/null +++ b/MyData/Bitter_Cold/2025-01-31-14%3A22%3A50.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;3.017059803009033;11.853358268737793;1.3077791929244995;1.6479995250701904;3.2965757846832275;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A11%3A25.txt b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A25.txt new file mode 100644 index 0000000..c63a77f --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A25.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.3733329176902771;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A11%3A31.txt b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A31.txt new file mode 100644 index 0000000..90ae354 --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A31.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A11%3A37.txt b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A37.txt new file mode 100644 index 0000000..7e1b066 --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A37.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A11%3A43.txt b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A43.txt new file mode 100644 index 0000000..c63a77f --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A43.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.3733329176902771;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A11%3A49.txt b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A49.txt new file mode 100644 index 0000000..c63a77f --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A49.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.3733329176902771;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A11%3A55.txt b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A55.txt new file mode 100644 index 0000000..c63a77f --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A11%3A55.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.3733329176902771;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A12%3A01.txt b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A01.txt new file mode 100644 index 0000000..90ae354 --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A01.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A12%3A07.txt b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A07.txt new file mode 100644 index 0000000..c63a77f --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A07.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.3733329176902771;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A12%3A13.txt b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A13.txt new file mode 100644 index 0000000..c63a77f --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A13.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.3733329176902771;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Bitter_Warm/2025-01-31-14%3A12%3A19.txt b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A19.txt new file mode 100644 index 0000000..90ae354 --- /dev/null +++ b/MyData/Bitter_Warm/2025-01-31-14%3A12%3A19.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;0.8239997625350952;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A19%3A51.txt b/MyData/Ideal/2025-01-31-14%3A19%3A51.txt new file mode 100644 index 0000000..b536831 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A19%3A51.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;0.8239997625350952;2.1977171897888184;1.119998812675476;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A19%3A57.txt b/MyData/Ideal/2025-01-31-14%3A19%3A57.txt new file mode 100644 index 0000000..ddf6892 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A19%3A57.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A03.txt b/MyData/Ideal/2025-01-31-14%3A20%3A03.txt new file mode 100644 index 0000000..ddf6892 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A03.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A10.txt b/MyData/Ideal/2025-01-31-14%3A20%3A10.txt new file mode 100644 index 0000000..ddf6892 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A10.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A18.txt b/MyData/Ideal/2025-01-31-14%3A20%3A18.txt new file mode 100644 index 0000000..4b529f6 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A18.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;1.2359997034072876;2.1977171897888184;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A25.txt b/MyData/Ideal/2025-01-31-14%3A20%3A25.txt new file mode 100644 index 0000000..3667fb6 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A25.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;1.2359997034072876;2.1977171897888184;1.119998812675476;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A30.txt b/MyData/Ideal/2025-01-31-14%3A20%3A30.txt new file mode 100644 index 0000000..4b529f6 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A30.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;1.2359997034072876;2.1977171897888184;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A37.txt b/MyData/Ideal/2025-01-31-14%3A20%3A37.txt new file mode 100644 index 0000000..3667fb6 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A37.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;1.2359997034072876;2.1977171897888184;1.119998812675476;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A43.txt b/MyData/Ideal/2025-01-31-14%3A20%3A43.txt new file mode 100644 index 0000000..3667fb6 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A43.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;1.2359997034072876;2.1977171897888184;1.119998812675476;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal/2025-01-31-14%3A20%3A50.txt b/MyData/Ideal/2025-01-31-14%3A20%3A50.txt new file mode 100644 index 0000000..3667fb6 --- /dev/null +++ b/MyData/Ideal/2025-01-31-14%3A20%3A50.txt @@ -0,0 +1 @@ +8.458510398864746;1.9325541257858276;4.6536149978637695;0.8854029774665833;3.017059803009033;9.064332962036133;0.8718527555465698;1.2359997034072876;2.1977171897888184;1.119998812675476;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A45%3A36.txt b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A36.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A36.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A45%3A42.txt b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A42.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A42.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A45%3A48.txt b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A48.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A48.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A45%3A53.txt b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A53.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A45%3A53.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A46%3A00.txt b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A00.txt new file mode 100644 index 0000000..622fa35 --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A00.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;1.119998812675476;0.0;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A46%3A06.txt b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A06.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A06.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A46%3A11.txt b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A11.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A11.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A46%3A17.txt b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A17.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A17.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A46%3A22.txt b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A22.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A22.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Cold/2025-01-31-14%3A46%3A31.txt b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A31.txt new file mode 100644 index 0000000..99870fc --- /dev/null +++ b/MyData/Ideal_Cold/2025-01-31-14%3A46%3A31.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;9.761589050292969;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A25%3A49.txt b/MyData/Ideal_Warm/2025-01-31-14%3A25%3A49.txt new file mode 100644 index 0000000..aae81be --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A25%3A49.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A25%3A56.txt b/MyData/Ideal_Warm/2025-01-31-14%3A25%3A56.txt new file mode 100644 index 0000000..5ba6c5b --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A25%3A56.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A02.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A02.txt new file mode 100644 index 0000000..31302d1 --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A02.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.3733329176902771;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A07.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A07.txt new file mode 100644 index 0000000..aae81be --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A07.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A13.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A13.txt new file mode 100644 index 0000000..aae81be --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A13.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A19.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A19.txt new file mode 100644 index 0000000..aae81be --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A19.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A25.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A25.txt new file mode 100644 index 0000000..5ba6c5b --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A25.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A31.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A31.txt new file mode 100644 index 0000000..31302d1 --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A31.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.3733329176902771;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A37.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A37.txt new file mode 100644 index 0000000..aae81be --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A37.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Ideal_Warm/2025-01-31-14%3A26%3A45.txt b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A45.txt new file mode 100644 index 0000000..aae81be --- /dev/null +++ b/MyData/Ideal_Warm/2025-01-31-14%3A26%3A45.txt @@ -0,0 +1 @@ +10.150212287902832;1.9325541257858276;5.584338188171387;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.0;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A09.txt b/MyData/Strong/2025-01-31-14%3A03%3A09.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A09.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A16.txt b/MyData/Strong/2025-01-31-14%3A03%3A16.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A16.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A23.txt b/MyData/Strong/2025-01-31-14%3A03%3A23.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A23.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A28.txt b/MyData/Strong/2025-01-31-14%3A03%3A28.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A28.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A34.txt b/MyData/Strong/2025-01-31-14%3A03%3A34.txt new file mode 100644 index 0000000..ee6514e --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A34.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A40.txt b/MyData/Strong/2025-01-31-14%3A03%3A40.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A40.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A46.txt b/MyData/Strong/2025-01-31-14%3A03%3A46.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A46.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A52.txt b/MyData/Strong/2025-01-31-14%3A03%3A52.txt new file mode 100644 index 0000000..ee6514e --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A52.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A03%3A57.txt b/MyData/Strong/2025-01-31-14%3A03%3A57.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A03%3A57.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong/2025-01-31-14%3A04%3A04.txt b/MyData/Strong/2025-01-31-14%3A04%3A04.txt new file mode 100644 index 0000000..d004fa6 --- /dev/null +++ b/MyData/Strong/2025-01-31-14%3A04%3A04.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;5.584338188171387;1.7708059549331665;3.771324872970581;6.275307655334473;1.3077791929244995;1.2359997034072876;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A23%3A35.txt b/MyData/Strong_Cold/2025-01-31-14%3A23%3A35.txt new file mode 100644 index 0000000..c5389dc --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A23%3A35.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A23%3A42.txt b/MyData/Strong_Cold/2025-01-31-14%3A23%3A42.txt new file mode 100644 index 0000000..30db945 --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A23%3A42.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;1.654011607170105;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A23%3A47.txt b/MyData/Strong_Cold/2025-01-31-14%3A23%3A47.txt new file mode 100644 index 0000000..30db945 --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A23%3A47.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;1.654011607170105;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A23%3A53.txt b/MyData/Strong_Cold/2025-01-31-14%3A23%3A53.txt new file mode 100644 index 0000000..c5389dc --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A23%3A53.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A23%3A58.txt b/MyData/Strong_Cold/2025-01-31-14%3A23%3A58.txt new file mode 100644 index 0000000..c5389dc --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A23%3A58.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A24%3A06.txt b/MyData/Strong_Cold/2025-01-31-14%3A24%3A06.txt new file mode 100644 index 0000000..30db945 --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A24%3A06.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;1.654011607170105;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A24%3A14.txt b/MyData/Strong_Cold/2025-01-31-14%3A24%3A14.txt new file mode 100644 index 0000000..c5389dc --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A24%3A14.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A24%3A19.txt b/MyData/Strong_Cold/2025-01-31-14%3A24%3A19.txt new file mode 100644 index 0000000..c5389dc --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A24%3A19.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A24%3A26.txt b/MyData/Strong_Cold/2025-01-31-14%3A24%3A26.txt new file mode 100644 index 0000000..c5389dc --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A24%3A26.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Cold/2025-01-31-14%3A24%3A32.txt b/MyData/Strong_Cold/2025-01-31-14%3A24%3A32.txt new file mode 100644 index 0000000..30db945 --- /dev/null +++ b/MyData/Strong_Cold/2025-01-31-14%3A24%3A32.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.771324872970581;7.669820308685303;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;1.654011607170105;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A09%3A49.txt b/MyData/Strong_Warm/2025-01-31-14%3A09%3A49.txt new file mode 100644 index 0000000..e2a0bfe --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A09%3A49.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A09%3A55.txt b/MyData/Strong_Warm/2025-01-31-14%3A09%3A55.txt new file mode 100644 index 0000000..e2a0bfe --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A09%3A55.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A01.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A01.txt new file mode 100644 index 0000000..b631c03 --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A01.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A07.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A07.txt new file mode 100644 index 0000000..894dd8b --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A07.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A12.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A12.txt new file mode 100644 index 0000000..894dd8b --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A12.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A18.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A18.txt new file mode 100644 index 0000000..894dd8b --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A18.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A24.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A24.txt new file mode 100644 index 0000000..b631c03 --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A24.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A30.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A30.txt new file mode 100644 index 0000000..894dd8b --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A30.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A36.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A36.txt new file mode 100644 index 0000000..b631c03 --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A36.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Strong_Warm/2025-01-31-14%3A10%3A42.txt b/MyData/Strong_Warm/2025-01-31-14%3A10%3A42.txt new file mode 100644 index 0000000..b631c03 --- /dev/null +++ b/MyData/Strong_Warm/2025-01-31-14%3A10%3A42.txt @@ -0,0 +1 @@ +13.533616065979004;3.8651082515716553;9.307229995727539;2.6562089920043945;3.771324872970581;5.5780510902404785;0.8718527555465698;1.2359997034072876;6.593151569366455;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A45%3A12.txt b/MyData/Underdevelop/2025-01-31-13%3A45%3A12.txt new file mode 100644 index 0000000..f938a76 --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A45%3A12.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A45%3A19.txt b/MyData/Underdevelop/2025-01-31-13%3A45%3A19.txt new file mode 100644 index 0000000..4f9452b --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A45%3A19.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A45%3A25.txt b/MyData/Underdevelop/2025-01-31-13%3A45%3A25.txt new file mode 100644 index 0000000..798d124 --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A45%3A25.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A45%3A32.txt b/MyData/Underdevelop/2025-01-31-13%3A45%3A32.txt new file mode 100644 index 0000000..4f9452b --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A45%3A32.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A45%3A38.txt b/MyData/Underdevelop/2025-01-31-13%3A45%3A38.txt new file mode 100644 index 0000000..4f9452b --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A45%3A38.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A45%3A44.txt b/MyData/Underdevelop/2025-01-31-13%3A45%3A44.txt new file mode 100644 index 0000000..798d124 --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A45%3A44.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A45%3A50.txt b/MyData/Underdevelop/2025-01-31-13%3A45%3A50.txt new file mode 100644 index 0000000..4f9452b --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A45%3A50.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; 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\ No newline at end of file diff --git a/MyData/Underdevelop/2025-01-31-13%3A46%3A18.txt b/MyData/Underdevelop/2025-01-31-13%3A46%3A18.txt new file mode 100644 index 0000000..798d124 --- /dev/null +++ b/MyData/Underdevelop/2025-01-31-13%3A46%3A18.txt @@ -0,0 +1 @@ +9.304361343383789;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.7437055110931396;1.6479995250701904;5.494293212890625;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A24.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A24.txt new file mode 100644 index 0000000..77f7159 --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A24.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A31.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A31.txt new file mode 100644 index 0000000..77f7159 --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A31.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A37.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A37.txt new file mode 100644 index 0000000..8fdd7aa --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A37.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A43.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A43.txt new file mode 100644 index 0000000..77f7159 --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A43.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A49.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A49.txt new file mode 100644 index 0000000..77f7159 --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A49.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A56.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A56.txt new file mode 100644 index 0000000..de97849 --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A29%3A56.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A02.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A02.txt new file mode 100644 index 0000000..8fdd7aa --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A02.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A09.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A09.txt new file mode 100644 index 0000000..4419849 --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A09.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.017059803009033;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A15.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A15.txt new file mode 100644 index 0000000..71f59c8 --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A15.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A20.txt b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A20.txt new file mode 100644 index 0000000..8fdd7aa --- /dev/null +++ b/MyData/Underdevelop_Cold/2025-01-31-14%3A30%3A20.txt @@ -0,0 +1 @@ +4.229255199432373;0.9662770628929138;1.8614460229873657;0.8854029774665833;3.771324872970581;11.156102180480957;1.3077791929244995;0.8239997625350952;2.1977171897888184;0.7466658353805542;2.0105960369110107;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;2.199664354324341;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A43.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A43.txt new file mode 100644 index 0000000..156b759 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A43.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A49.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A49.txt new file mode 100644 index 0000000..3a5a8d9 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A49.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A56.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A56.txt new file mode 100644 index 0000000..156b759 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A49%3A56.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A05.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A05.txt new file mode 100644 index 0000000..156b759 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A05.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A10.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A10.txt new file mode 100644 index 0000000..156b759 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A10.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A17.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A17.txt new file mode 100644 index 0000000..3a5a8d9 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A17.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A27.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A27.txt new file mode 100644 index 0000000..156b759 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A27.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A33.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A33.txt new file mode 100644 index 0000000..156b759 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A33.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A39.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A39.txt new file mode 100644 index 0000000..156b759 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A39.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A45.txt b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A45.txt new file mode 100644 index 0000000..3a5a8d9 --- /dev/null +++ b/MyData/Underdevelop_Warm/2025-01-31-13%3A50%3A45.txt @@ -0,0 +1 @@ +10.150212287902832;2.8988311290740967;6.515060901641846;1.7708059549331665;3.017059803009033;5.5780510902404785;1.3077791929244995;1.6479995250701904;4.395434379577637;1.119998812675476;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A42%3A50.txt b/MyData/Weak/2025-01-31-13%3A42%3A50.txt new file mode 100644 index 0000000..f987bc2 --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A42%3A50.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;6.275307655334473;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A42%3A55.txt b/MyData/Weak/2025-01-31-13%3A42%3A55.txt new file mode 100644 index 0000000..0884384 --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A42%3A55.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;6.972563743591309;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A02.txt b/MyData/Weak/2025-01-31-13%3A43%3A02.txt new file mode 100644 index 0000000..f987bc2 --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A02.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;6.275307655334473;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A08.txt b/MyData/Weak/2025-01-31-13%3A43%3A08.txt new file mode 100644 index 0000000..f987bc2 --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A08.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;6.275307655334473;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A14.txt b/MyData/Weak/2025-01-31-13%3A43%3A14.txt new file mode 100644 index 0000000..f987bc2 --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A14.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;6.275307655334473;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A20.txt b/MyData/Weak/2025-01-31-13%3A43%3A20.txt new file mode 100644 index 0000000..f987bc2 --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A20.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;6.275307655334473;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A28.txt b/MyData/Weak/2025-01-31-13%3A43%3A28.txt new file mode 100644 index 0000000..757f31d --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A28.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;5.5780510902404785;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A35.txt b/MyData/Weak/2025-01-31-13%3A43%3A35.txt new file mode 100644 index 0000000..de8b2a0 --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A35.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;5.5780510902404785;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A42.txt b/MyData/Weak/2025-01-31-13%3A43%3A42.txt new file mode 100644 index 0000000..0875e2c --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A42.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;5.5780510902404785;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak/2025-01-31-13%3A43%3A50.txt b/MyData/Weak/2025-01-31-13%3A43%3A50.txt new file mode 100644 index 0000000..757f31d --- /dev/null +++ b/MyData/Weak/2025-01-31-13%3A43%3A50.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;3.7228920459747314;0.8854029774665833;2.2627949714660645;5.5780510902404785;0.4359263777732849;0.4119998812675476;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A27%3A40.txt b/MyData/Weak_Cold/2025-01-31-14%3A27%3A40.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A27%3A40.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A27%3A46.txt b/MyData/Weak_Cold/2025-01-31-14%3A27%3A46.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A27%3A46.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A27%3A52.txt b/MyData/Weak_Cold/2025-01-31-14%3A27%3A52.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A27%3A52.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A27%3A58.txt b/MyData/Weak_Cold/2025-01-31-14%3A27%3A58.txt new file mode 100644 index 0000000..bf4044b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A27%3A58.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A28%3A03.txt b/MyData/Weak_Cold/2025-01-31-14%3A28%3A03.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A28%3A03.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A28%3A09.txt b/MyData/Weak_Cold/2025-01-31-14%3A28%3A09.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A28%3A09.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A28%3A15.txt b/MyData/Weak_Cold/2025-01-31-14%3A28%3A15.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A28%3A15.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A28%3A21.txt b/MyData/Weak_Cold/2025-01-31-14%3A28%3A21.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A28%3A21.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A28%3A27.txt b/MyData/Weak_Cold/2025-01-31-14%3A28%3A27.txt new file mode 100644 index 0000000..bf4044b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A28%3A27.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Cold/2025-01-31-14%3A28%3A33.txt b/MyData/Weak_Cold/2025-01-31-14%3A28%3A33.txt new file mode 100644 index 0000000..f05a91b --- /dev/null +++ b/MyData/Weak_Cold/2025-01-31-14%3A28%3A33.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;3.7228920459747314;0.8854029774665833;3.017059803009033;11.156102180480957;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.3733329176902771;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A47%3A29.txt b/MyData/Weak_Warm/2025-01-31-13%3A47%3A29.txt new file mode 100644 index 0000000..1ad7fed --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A47%3A29.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;2.7921690940856934;0.8854029774665833;1.5085299015045166;6.275307655334473;0.8718527555465698;0.8239997625350952;3.2965757846832275;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A47%3A37.txt b/MyData/Weak_Warm/2025-01-31-13%3A47%3A37.txt new file mode 100644 index 0000000..4a7ba71 --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A47%3A37.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;2.7921690940856934;0.8854029774665833;1.5085299015045166;6.275307655334473;0.8718527555465698;1.2359997034072876;3.2965757846832275;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A47%3A43.txt b/MyData/Weak_Warm/2025-01-31-13%3A47%3A43.txt new file mode 100644 index 0000000..6ae721b --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A47%3A43.txt @@ -0,0 +1 @@ +6.766808032989502;1.9325541257858276;2.7921690940856934;0.8854029774665833;1.5085299015045166;6.275307655334473;0.8718527555465698;1.2359997034072876;3.2965757846832275;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.7810816168785095;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A47%3A50.txt b/MyData/Weak_Warm/2025-01-31-13%3A47%3A50.txt new file mode 100644 index 0000000..51c1fd8 --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A47%3A50.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;2.7921690940856934;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A47%3A56.txt b/MyData/Weak_Warm/2025-01-31-13%3A47%3A56.txt new file mode 100644 index 0000000..51c1fd8 --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A47%3A56.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;2.7921690940856934;0.8854029774665833;2.2627949714660645;8.367076873779297;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A48%3A02.txt b/MyData/Weak_Warm/2025-01-31-13%3A48%3A02.txt new file mode 100644 index 0000000..f4f1e02 --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A48%3A02.txt @@ -0,0 +1 @@ +5.920957088470459;1.9325541257858276;2.7921690940856934;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A48%3A07.txt b/MyData/Weak_Warm/2025-01-31-13%3A48%3A07.txt new file mode 100644 index 0000000..0c12cec --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A48%3A07.txt @@ -0,0 +1 @@ +5.920957088470459;0.9662770628929138;2.7921690940856934;0.8854029774665833;2.2627949714660645;7.669820308685303;0.8718527555465698;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A48%3A13.txt b/MyData/Weak_Warm/2025-01-31-13%3A48%3A13.txt new file mode 100644 index 0000000..16a771d --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A48%3A13.txt @@ -0,0 +1 @@ +5.920957088470459;0.9662770628929138;2.7921690940856934;0.8854029774665833;2.2627949714660645;7.669820308685303;1.3077791929244995;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A48%3A21.txt b/MyData/Weak_Warm/2025-01-31-13%3A48%3A21.txt new file mode 100644 index 0000000..9c5b340 --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A48%3A21.txt @@ -0,0 +1 @@ +6.766808032989502;0.9662770628929138;2.7921690940856934;0.8854029774665833;2.2627949714660645;7.669820308685303;1.3077791929244995;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/MyData/Weak_Warm/2025-01-31-13%3A48%3A26.txt b/MyData/Weak_Warm/2025-01-31-13%3A48%3A26.txt new file mode 100644 index 0000000..c6bdde6 --- /dev/null +++ b/MyData/Weak_Warm/2025-01-31-13%3A48%3A26.txt @@ -0,0 +1 @@ +5.920957088470459;0.9662770628929138;2.7921690940856934;0.8854029774665833;2.2627949714660645;6.972563743591309;1.3077791929244995;1.2359997034072876;2.1977171897888184;0.7466658353805542;1.0052980184555054;0.35392314195632935;0.747947633266449;0.0;0.8270058035850525;1.0998321771621704;0.5120090246200562;0.0; \ No newline at end of file diff --git a/Preprocess1.py b/Preprocess1.py new file mode 100644 index 0000000..903471c --- /dev/null +++ b/Preprocess1.py @@ -0,0 +1,32 @@ +import pandas as pd +import glob + + +label = "Strong_Cold" +# Path ke folder yang berisi file txt +folder_path = f"MyData/{label}" # Ganti dengan path folder kamu + +# Cari semua file txt dalam folder +files = glob.glob(f"{folder_path}/*.txt") +columns = ['410nm', '435nm', '460nm', '485nm', + '510nm', '535nm', '560nm', '585nm', + '610nm', '645nm', '680nm', '705nm', + '730nm', '760nm', '810nm', '860nm', + '900nm', '940nm'] + +# List untuk menyimpan semua dataframe +dataframes = [] + +# Loop untuk membaca setiap file txt +for file in files: + with open(file, "r") as f: + line = f.readline().strip() # Baca baris pertama dan hapus newline + values = line.split(";") # Pisahkan berdasarkan ";" + values = values[:-1] + dataframes.append(values) + +# Membuat DataFrame dari semua data +df = pd.DataFrame(dataframes, columns=columns) + +# Simpan ke dalam file csv +df.to_csv(f"MyData/Final/{label}.csv", index=False) diff --git a/Preprocess2.py b/Preprocess2.py new file mode 100644 index 0000000..0435f9b --- /dev/null +++ b/Preprocess2.py @@ -0,0 +1,36 @@ +import pandas as pd +import glob +import os + +# Path ke folder yang berisi file Excel +folder_path = "MyData/Final" # Ganti dengan path folder kamu + +# Cari semua file Excel dalam folder +files = glob.glob(f"{folder_path}/*.xlsx") + +# Tentukan nama kolom yang diinginkan +columns = ['410nm', '435nm', '460nm', '485nm', + '510nm', '535nm', '560nm', '585nm', + '610nm', '645nm', '680nm', '705nm', + '730nm', '760nm', '810nm', '860nm', + '900nm', '940nm'] + +# List untuk menyimpan semua dataframe +dataframes = [] + +# Loop untuk membaca setiap file Excel +for file in files: + df = pd.read_csv(file) # Membaca file Excel hanya dengan jumlah kolom yang sesuai + df.columns = columns # Menetapkan nama kolom sesuai daftar + filename = os.path.basename(file) # Mengambil nama file tanpa path + df["Label_Temp"] = filename.split(".")[0] # Menambahkan kolom Label + df['Label'] = df.apply(lambda x: x['Label_Temp'].split("_")[0], axis=1) + dataframes.append(df) # Menyimpan ke dalam list + +# Menggabungkan semua DataFrame +df_final = pd.concat(dataframes, ignore_index=True) + +# Simpan ke dalam file csv baru +df_final.to_csv("MyData/Final/Coffe Brewing Level - Spectroscopy.csv", index=False) + +print("File berhasil disimpan sebagai output.xlsx") diff --git a/Visualisasi.ipynb b/Visualisasi.ipynb new file mode 100644 index 0000000..ad8595b --- /dev/null +++ b/Visualisasi.ipynb @@ -0,0 +1,1258 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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410nm435nm460nm485nm510nm535nm560nm585nm610nm645nm680nm705nm730nm760nm810nm860nm900nm940nmLabel
5410.1502121.9325545.5843380.8854032.2627958.3670770.8718530.8242.1977170.7466661.0052980.0000000.7479480.0000000.8270061.0998320.5120090.0Ideal
1275.9209571.9325543.7228920.8854032.2627955.5780510.4359260.4123.2965760.3733331.0052980.3539230.7479480.0000000.8270061.0998320.5120090.0Weak
415.9209571.9325543.7228920.8854032.2627959.7615890.8718531.2362.1977170.7466661.0052980.3539230.7479480.0000000.8270061.0998320.5120090.0Ideal
11210.1502122.8988316.5150611.7708063.0170605.5780511.3077791.6484.3954341.1199991.0052980.3539230.7479480.0000000.8270061.0998320.5120090.0Underdeveloped
7810.1502122.8988316.5150611.7708063.7713257.6698201.7437061.6485.4942930.7466662.0105960.3539230.7479480.7810820.8270062.1996640.5120090.0Strong
1054.2292550.9662771.8614460.8854033.77132511.1561021.3077790.8242.1977170.7466661.0052980.3539230.7479480.7810820.8270062.1996640.5120090.0Underdeveloped
909.3043612.8988316.5150611.7708063.0170605.5780511.7437061.6485.4942931.1199991.0052980.3539230.7479480.0000000.8270061.0998320.5120090.0Underdeveloped
679.3043612.8988315.5843381.7708063.7713256.2753081.3077791.2365.4942930.7466662.0105960.3539230.7479480.0000000.8270062.1996640.5120090.0Strong
7510.1502122.8988316.5150611.7708063.7713257.6698201.7437061.6485.4942930.7466662.0105960.3539230.7479480.7810821.6540122.1996640.5120090.0Strong
2210.1502122.8988316.5150610.8854032.2627957.6698200.8718530.8245.4942930.7466661.0052980.3539230.7479480.7810820.8270062.1996640.5120090.0Bitter
1365.9209571.9325543.7228920.8854033.01706011.1561020.8718530.8243.2965760.3733331.0052980.3539230.7479480.0000000.8270061.0998320.5120090.0Weak
2910.1502122.8988316.5150610.8854032.2627957.6698200.8718530.8245.4942930.7466662.0105960.3539230.7479480.7810820.8270062.1996640.5120090.0Bitter
011.8419142.8988317.4457841.7708063.0170606.9725640.4359260.8243.2965760.7466661.0052980.3539230.7479480.7810820.8270061.0998320.5120090.0Bitter
11510.1502122.8988316.5150611.7708063.0170605.5780511.3077791.6484.3954341.1199991.0052980.3539230.7479480.7810820.8270061.0998320.5120090.0Underdeveloped
669.3043612.8988315.5843381.7708063.7713256.2753081.3077791.2365.4942930.7466662.0105960.3539230.7479480.7810820.8270062.1996640.5120090.0Strong
1445.9209571.9325542.7921690.8854032.2627958.3670770.8718531.2362.1977170.7466661.0052980.3539230.7479480.0000000.8270061.0998320.5120090.0Weak
5010.1502121.9325545.5843380.8854032.2627958.3670770.8718530.8242.1977170.7466661.0052980.0000000.7479480.0000000.8270061.0998320.5120090.0Ideal
7910.1502122.8988316.5150611.7708063.7713257.6698201.7437061.6485.4942930.7466662.0105960.3539230.7479480.7810821.6540122.1996640.5120090.0Strong
1610.1502121.9325545.5843380.8854033.01706011.8533581.3077791.6483.2965761.1199991.0052980.3539231.4958950.7810820.8270061.0998320.5120090.0Bitter
485.9209571.9325543.7228920.8854032.2627959.7615890.8718531.2362.1977170.7466661.0052980.3539230.7479480.0000000.8270061.0998320.5120090.0Ideal
\n", + "
" + ], + "text/plain": [ + " 410nm 435nm 460nm 485nm 510nm 535nm 560nm \\\n", + "54 10.150212 1.932554 5.584338 0.885403 2.262795 8.367077 0.871853 \n", + "127 5.920957 1.932554 3.722892 0.885403 2.262795 5.578051 0.435926 \n", + "41 5.920957 1.932554 3.722892 0.885403 2.262795 9.761589 0.871853 \n", + "112 10.150212 2.898831 6.515061 1.770806 3.017060 5.578051 1.307779 \n", + "78 10.150212 2.898831 6.515061 1.770806 3.771325 7.669820 1.743706 \n", + "105 4.229255 0.966277 1.861446 0.885403 3.771325 11.156102 1.307779 \n", + "90 9.304361 2.898831 6.515061 1.770806 3.017060 5.578051 1.743706 \n", + "67 9.304361 2.898831 5.584338 1.770806 3.771325 6.275308 1.307779 \n", + "75 10.150212 2.898831 6.515061 1.770806 3.771325 7.669820 1.743706 \n", + "22 10.150212 2.898831 6.515061 0.885403 2.262795 7.669820 0.871853 \n", + "136 5.920957 1.932554 3.722892 0.885403 3.017060 11.156102 0.871853 \n", + "29 10.150212 2.898831 6.515061 0.885403 2.262795 7.669820 0.871853 \n", + "0 11.841914 2.898831 7.445784 1.770806 3.017060 6.972564 0.435926 \n", + "115 10.150212 2.898831 6.515061 1.770806 3.017060 5.578051 1.307779 \n", + "66 9.304361 2.898831 5.584338 1.770806 3.771325 6.275308 1.307779 \n", + "144 5.920957 1.932554 2.792169 0.885403 2.262795 8.367077 0.871853 \n", + "50 10.150212 1.932554 5.584338 0.885403 2.262795 8.367077 0.871853 \n", + "79 10.150212 2.898831 6.515061 1.770806 3.771325 7.669820 1.743706 \n", + "16 10.150212 1.932554 5.584338 0.885403 3.017060 11.853358 1.307779 \n", + "48 5.920957 1.932554 3.722892 0.885403 2.262795 9.761589 0.871853 \n", + "\n", + " 585nm 610nm 645nm 680nm 705nm 730nm 760nm \\\n", + "54 0.824 2.197717 0.746666 1.005298 0.000000 0.747948 0.000000 \n", + "127 0.412 3.296576 0.373333 1.005298 0.353923 0.747948 0.000000 \n", + "41 1.236 2.197717 0.746666 1.005298 0.353923 0.747948 0.000000 \n", + "112 1.648 4.395434 1.119999 1.005298 0.353923 0.747948 0.000000 \n", + "78 1.648 5.494293 0.746666 2.010596 0.353923 0.747948 0.781082 \n", + "105 0.824 2.197717 0.746666 1.005298 0.353923 0.747948 0.781082 \n", + "90 1.648 5.494293 1.119999 1.005298 0.353923 0.747948 0.000000 \n", + "67 1.236 5.494293 0.746666 2.010596 0.353923 0.747948 0.000000 \n", + "75 1.648 5.494293 0.746666 2.010596 0.353923 0.747948 0.781082 \n", + "22 0.824 5.494293 0.746666 1.005298 0.353923 0.747948 0.781082 \n", + "136 0.824 3.296576 0.373333 1.005298 0.353923 0.747948 0.000000 \n", + "29 0.824 5.494293 0.746666 2.010596 0.353923 0.747948 0.781082 \n", + "0 0.824 3.296576 0.746666 1.005298 0.353923 0.747948 0.781082 \n", + "115 1.648 4.395434 1.119999 1.005298 0.353923 0.747948 0.781082 \n", + "66 1.236 5.494293 0.746666 2.010596 0.353923 0.747948 0.781082 \n", + "144 1.236 2.197717 0.746666 1.005298 0.353923 0.747948 0.000000 \n", + "50 0.824 2.197717 0.746666 1.005298 0.000000 0.747948 0.000000 \n", + "79 1.648 5.494293 0.746666 2.010596 0.353923 0.747948 0.781082 \n", + "16 1.648 3.296576 1.119999 1.005298 0.353923 1.495895 0.781082 \n", + "48 1.236 2.197717 0.746666 1.005298 0.353923 0.747948 0.000000 \n", + "\n", + " 810nm 860nm 900nm 940nm Label \n", + "54 0.827006 1.099832 0.512009 0.0 Ideal \n", + "127 0.827006 1.099832 0.512009 0.0 Weak \n", + "41 0.827006 1.099832 0.512009 0.0 Ideal \n", + "112 0.827006 1.099832 0.512009 0.0 Underdeveloped \n", + "78 0.827006 2.199664 0.512009 0.0 Strong \n", + "105 0.827006 2.199664 0.512009 0.0 Underdeveloped \n", + "90 0.827006 1.099832 0.512009 0.0 Underdeveloped \n", + "67 0.827006 2.199664 0.512009 0.0 Strong \n", + "75 1.654012 2.199664 0.512009 0.0 Strong \n", + "22 0.827006 2.199664 0.512009 0.0 Bitter \n", + "136 0.827006 1.099832 0.512009 0.0 Weak \n", + "29 0.827006 2.199664 0.512009 0.0 Bitter \n", + "0 0.827006 1.099832 0.512009 0.0 Bitter \n", + "115 0.827006 1.099832 0.512009 0.0 Underdeveloped \n", + "66 0.827006 2.199664 0.512009 0.0 Strong \n", + "144 0.827006 1.099832 0.512009 0.0 Weak \n", + "50 0.827006 1.099832 0.512009 0.0 Ideal \n", + "79 1.654012 2.199664 0.512009 0.0 Strong \n", + "16 0.827006 1.099832 0.512009 0.0 Bitter \n", + "48 0.827006 1.099832 0.512009 0.0 Ideal " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.read_excel(\"../Data/Spectroscopy_Data - Coffee Brewing Level.xlsx\")\n", + "df['940nm'] = df['940nm'].astype('float64')\n", + "df.sample(20)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 150 entries, 0 to 149\n", + "Data columns (total 19 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 410nm 150 non-null float64\n", + " 1 435nm 150 non-null float64\n", + " 2 460nm 150 non-null float64\n", + " 3 485nm 150 non-null float64\n", + " 4 510nm 150 non-null float64\n", + " 5 535nm 150 non-null float64\n", + " 6 560nm 150 non-null float64\n", + " 7 585nm 150 non-null float64\n", + " 8 610nm 150 non-null float64\n", + " 9 645nm 150 non-null float64\n", + " 10 680nm 150 non-null float64\n", + " 11 705nm 150 non-null float64\n", + " 12 730nm 150 non-null float64\n", + " 13 760nm 150 non-null float64\n", + " 14 810nm 150 non-null float64\n", + " 15 860nm 150 non-null float64\n", + " 16 900nm 150 non-null float64\n", + " 17 940nm 150 non-null float64\n", + " 18 Label 150 non-null object \n", + "dtypes: float64(18), object(1)\n", + "memory usage: 22.4+ KB\n" + ] + } + ], + "source": [ + "df.info()\n", + "plt.rcParams[\"font.family\"] = \"Times New Roman\"" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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LabelBitterIdealStrongUnderdevelopedWeak
410nm10.7141138.17656010.9960637.8946106.287492
435nm2.5767391.9325543.2209242.2546461.803717
460nm6.5150614.6536157.1355434.9638563.412651
485nm1.1805370.8854032.0659401.4756720.885403
510nm2.7404962.5142173.7713253.2433392.438790
535nm8.7854309.0643336.5077267.4374018.181142
560nm0.8718530.8718531.3077791.4530880.770137
585nm1.0986661.0437331.3733331.3733330.810266
610nm4.0291482.1977175.8605794.0291483.040175
645nm0.7217770.7964440.7466660.9582210.497777
680nm1.3068870.9717881.8095361.1728481.005298
705nm0.3539230.1651640.3539230.3539230.353923
730nm0.8227420.7479480.7479480.7479480.747948
760nm0.5207210.0000000.7290100.4426130.104144
810nm0.8270060.8270060.9372730.8270060.827006
860nm1.4664431.0998321.9063761.4664431.099832
900nm0.5120090.5120090.5120090.5120090.512009
940nm0.0000000.0000000.0000000.0000000.000000
\n", + "
" + ], + "text/plain": [ + "Label Bitter Ideal Strong Underdeveloped Weak\n", + "410nm 10.714113 8.176560 10.996063 7.894610 6.287492\n", + "435nm 2.576739 1.932554 3.220924 2.254646 1.803717\n", + "460nm 6.515061 4.653615 7.135543 4.963856 3.412651\n", + "485nm 1.180537 0.885403 2.065940 1.475672 0.885403\n", + "510nm 2.740496 2.514217 3.771325 3.243339 2.438790\n", + "535nm 8.785430 9.064333 6.507726 7.437401 8.181142\n", + "560nm 0.871853 0.871853 1.307779 1.453088 0.770137\n", + "585nm 1.098666 1.043733 1.373333 1.373333 0.810266\n", + "610nm 4.029148 2.197717 5.860579 4.029148 3.040175\n", + "645nm 0.721777 0.796444 0.746666 0.958221 0.497777\n", + "680nm 1.306887 0.971788 1.809536 1.172848 1.005298\n", + "705nm 0.353923 0.165164 0.353923 0.353923 0.353923\n", + "730nm 0.822742 0.747948 0.747948 0.747948 0.747948\n", + "760nm 0.520721 0.000000 0.729010 0.442613 0.104144\n", + "810nm 0.827006 0.827006 0.937273 0.827006 0.827006\n", + "860nm 1.466443 1.099832 1.906376 1.466443 1.099832\n", + "900nm 0.512009 0.512009 0.512009 0.512009 0.512009\n", + "940nm 0.000000 0.000000 0.000000 0.000000 0.000000" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mean = df.groupby('Label').mean().T\n", + "display(mean)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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JW2Z5/PHHy+Fw+F5HSUpNTdX48eNVVFTku62zPXbOPfdcjRgxwpeIM3XmtWxv+vTpmjhxop5++mlt3bpVu3fv9iXTxo8ff9jXY1+xsbG666679JOf/EQ/+9nPtHjxYl177bWaP3/+Ae9/oL9fa9euVWlpaYfbYmJiNGrUKF/Jqvm49q93QkJCh/K8zMxMlZaW+r5OTEzUjh07OvOyAABsih0+AICQlJqaqn/+85/6+uuvD5jw+X//7//p3nvv1c0336wrr7zysMebP3++Zs+ereuvv1433XRTh++dfvrpSkpK8v1p34dkX9XV1TrxxBMVHR2t3//+9wcdOW1yuVz6wQ9+oMLCQv3xj3/UySeffND7NjQ0yOPxaM+ePYddT3sXXHCBVq1apenTp+umm27SySeffMjEx5FISkpSQkJCp+573HHHaf369TrvvPP0pz/9SVOmTFF9fX2nHltXV3fY18Gf58C+evXqpZUrV+rOO+/Uf//7X40dO9bX2+ZAsrOzfQmh5uZmff311/vdp/1uoszMTF155ZW69tprO+zi6ArDMLR79+4Ot5kJk6ioKDkcDr3xxht66aWXtGvXLs2aNUvPPPNMh/tfc8012rlzp2/3VftjV1RUdOhL1P7YB9P+deiKefPm6fnnn9fLL7/c4fbOvJbtbd26Vccff7xGjhypu+++W3l5eb7vdeb1MC1atKjDuPfc3Fx9+OGHGjVqlP797393aW1mgvdA79WhXst9PfDAA75ddh6PR4sXL9Zll13WpVgAAPZCwgcAELKOPfZY/e53v9O9996rTz/91Hf7xo0b9etf/1q//e1v99v1IanDrhDJmzy4/PLLNXv2bKWmpu53/0ceeUSffvqp78/ll19+0Jjuu+8+1dXVdSjPONRzv/DCC/rkk080d+7cQy1VknfMdFpamj788MP9vneoBM4bb7yhYcOG6d///reeeuopLV682Jec2DeeI+F2u1VcXOxLWkVHR6uxsXG/GM3/vvHGG+rbt6+ef/55LViwQBs2bND//ve/Tj3XsGHDtGnTJm3cuLHD7eax/X0O7Outt95SbGysbrnlFq1atUpJSUl69tlnfd9vvyNMknbt2uVr5jty5Ei9+eabHRJEJSUl+uijjzo85k9/+pPy8vJ04YUXqrm5+aCxH8yUKVO0ZcuWDjuuKioqFBUVpWOPPVZr1qxRQUGBfvjDH2rNmjU68cQT9fDDD3c4xsCBA/X000/r6aef1muvvdbh2B6Pp8PfO3NS3gknnNCp16ErzjnnHM2ePVs///nPO+wQ6uxraZo3b5769+9/wBg683qYWltb90vsREVFaebMmR12IXXmvRo2bJhSUlJ8zcxNFRUVHV7Lwxk6dKgGDBige++9Vw888IB+85vf7JeoAwCEFxI+AICQ0dDQIEkdxhzffvvtmjx5si644AJf3w7z+/Pnz9eGDRv06KOPSvImAb744gvfDpQNGzboo48+ksfjUUtLi1577TVt3LhR9913nxwOh7Zs2aLFixdr9OjROuaYY3x/BgwYIMmbXGh/IW4+99q1a7VkyRJ99NFHev/991VdXa0lS5aosrJSCQkJKisrU2lpqd555x3feOd///vf+vLLL30X1UuWLDlgadQvf/lLLV68WPfcc4+am5v1+eefq7KyUmvWrPGt3+12d7jQfuSRR3w7Hi644ALFxsb61pCQkKCNGzeqoqJCixcv9iVM9l2Xebx9L+DbT9H661//qmOOOcbXp2To0KEqLS3V66+/riVLluiBBx6QJH311VcqLS3VP//5TxUUFEiSTjnlFKWnp/t2XBzs+UyzZ89WZGSkLrvsMm3fvl2VlZX67LPPVFZWppUrV/r9HNjX+vXr9eKLL0qSBg0apClTpig/P9/3/d27d/vKa2pqavTee+/5poRde+21io2N1QknnKC77rpLf/nLX3T11VfrnHPO6fD+RUdH6+WXX9aGDRv0y1/+0ndsM/b169frP//5jzwezwHPxWuuuUZZWVn685//7Lvttdde0y9/+Uulp6ertrbW9734+HidddZZvjW0f/3PP/98Xx8fc7fR+eefrxEjRui+++7znTOvvfaaLrjgAl+/GUkqLCz0vRclJSVatWpVh7Xse67uq30c999/vwYMGKALLrjAd8zOvJbt/9vU1KQlS5bou+++05tvvqnly5ervLxcH374oaqqqg76ehzIbbfdpiVLlvi+rqys1LvvvqsbbrjBd1tn/n7Fxsbqpptu0uuvv+5LZu3atUurV6/WjTfeKMm7E1DaP7Hb/rW7+uqrNXjwYA0bNkw5OTmSvOcIACCMWdszGgCAzvn888+NCy+80JBkHHXUUcZrr73m+15RUZGRnJxs9OrVy7j77ruNsrIy44orrjASExON008/3SgqKjIGDBhgnHrqqb7pVldccYWRmppqPProo4ZhGMYdd9xhJCUlGUcffbSxZs0aY8qUKcbkyZP3m/5l+uyzz4zRo0cbkozbbrvNd9zi4mJj5MiRRlZWlnHXXXcZb731lpGcnGw8+OCDhmEYxubNm438/HxjxIgRxrp164zKykpjxowZRmpqqnHdddcZS5YsMZKSkoxf//rXB3xel8tl3HDDDUZycrLRt29f4+GHHzZGjRplXHvttUZBQYGxfPlyY/To0UZERITx5JNPGoZhGMOGDTP69+9v3HjjjcbPfvYz32QlwzCMBQsWGJmZmcbpp59uVFVVGbfffrshyRg3bpxvglVjY6Nx1113GZKMk046yVi3bp1hGN4JUieffLIxa9Ys48orrzRuvvlm33Qyw/BOzvre975nxMXFGZdeeqmxdu1aY8CAAcYf//hHo7y83Dj11FON9PR047rrrjOuvvpq49lnnzUMwzC2bNnie6/nzp1rlJeXH/C1WLBggZGfn2/ExcUZF1xwgTF37lzjxBNPNP79738bHo8noOfAPffcY0RGRhqXXHKJ8Zvf/Ma44YYbfBOabr/9diMjI8OYM2eOcdtttxn/93//Z7zxxhsdHr948WJj/PjxRlxcnDFz5kyjqKjIMAzDeOutt4z+/fsbycnJxksvvWRUV1cb48aNMyQZ1113nVFYWGi4XC7jzDPPNLKysox//etfBz0XDcMwVq1aZRx//PHGGWecYfz85z837r77bsPtdhuGYRhLly41JBknnniicfPNNxuXXXaZsXPnTmPLli3GnDlzDEnGxRdfbBQUFBh///vfDUnG4MGDjZdeesn3Pp199tnGzJkzjdmzZxs33nij0djY6HvuSy+91MjNzTXmzJlj3HzzzcY555zTYdLX66+/biQmJho5OTnGxx9/vN9rvHz5cmPWrFmGJOOPf/yjsWfPHuPyyy/3nYefffbZIV/LrVu3+s6j6667zti+fbuxfPlyY+DAgUa/fv2Mp556ynj00UeN9PR045VXXjno63Eg5tQ6ScakSZOMs88+2zjuuOOMZ555Zr9z9HB/vwzDO1XrzjvvNMaMGWNcddVVxqWXXuqbrFdWVuZ7P370ox8ZhYWFxmuvvWakpKQYOTk5xgcffGAYhmH84Q9/MDIzM42EhATD6XT64jN/9gAAwo/DMA7SGRIAAABddscdd+j555/vsPspHF122WXatGnTfqVK8D+Px6Mrr7xSjzzyiOLj4yV5dwVt2rRJ1113nd577z2LIwQAWIGSLgAAACCE/e1vf5PT6fQleyRvT6FBgwZpxIgRFkYGALASCR8AAAA/am1t9fVcCWe8Dj1n586deu211/TUU09p27Ztqq+v16pVq3TNNdfo2muvtTo8AIBFSPgAAAD4yTvvvKO3335bO3fu1EMPPbRfI+Vw8dJLL2nRokX65ptv9Pzzz1sdju3NmzdPt956qx5++GHl5eVp8ODB+vOf/6ybb75ZQ4cOtTo8AIBF6OEDAAAAAABgM+zwAQAAAAAAsJlIqwPwN4/Hox07digpKUkOh8PqcAAAAAAAAPzCMAzV1taqb9++cjoPvYfHdgmfHTt2KCcnx+owAAAAAAAAAmLr1q3q37//Ie9ju4RPUlKSJO/ik5OTLY6me1wul95//32dcsopioqKsjqcgAmXdUrhs1bWaS+s015Yp72wTnthnfbCOu2FddqLHdZZU1OjnJwcX+7jUGyX8DHLuJKTk0M64RMfH6/k5OSQPQk7I1zWKYXPWlmnvbBOe2Gd9sI67YV12gvrtBfWaS92WmdnWtjQtBkAAAAAAMBmSPgAAAAAAADYDAkfAAAAAAAAmyHhAwAAAAAAYDMkfAAAAAAAAGyGhA8AAAAAAIDNkPABAAAAAACwGRI+AAAAAAAANkPCBwAAAAAAwGZI+AAAAAAAANgMCR8AAAAAAACbIeEDAAAAAABgMyR8AAAAAAAAbIaEDwAAAAAAgM2Q8AEAAAAAALAZEj4AAAAAAAA2Q8IHAAAAAADAZkj4AAAAAAAA2AwJHwAAAAAAAJsh4QMAAAAAAGAzJHyCkGEYqmmRqhpcVocCAAAAAABCEAmfIPSbN9fo1q8j9a+V260OBQAAAAAAhCASPkGof2qsJKmwtM7iSAAAAAAAQCgi4ROE8rITJZHwAQAAAAAA3UPCJwjltiV8ikrrZRiGxdEAAAAAAIBQQ8InCA3KiFeEw1B9i1vbqxqtDgcAAAAAAIQYEj5BKCrCqSxvGx/KugAAAAAAQJeR8AlSfeK9pVyFu2stjgQAAAAAAIQaEj5BqnecN+FTsJsdPgAAAAAAoGtI+ASp3vHe/7LDBwAAAAAAdBUJnyBl7vApLK2Tx8OkLgAAAAAA0HkkfIJUVqwUFeFQA5O6AAAAAABAF5HwCVIRTmlwRoIkqbCUsi4AAAAAANB5JHyCWF52oiQaNwMAAAAAgK4h4RPEcrPbdviQ8AEAAAAAAF1AwieImTt8KOkCAAAAAABdQcIniPkSPruZ1AUAAAAAADqPhE8QG5Aep+gIpxpdTOoCAAAAAACdR8IniEVGODUky9vHp2A3ZV0AAAAAAKBzSPgEubxeSZKY1AUAAAAAADqPhE+Qy/f18WGHDwAAAAAA6BwSPkHO3OFTWMoOHwAAAAAA0DkkfIJcfi/vDp+NpUzqAgAAAAAAnUPCJ8gNSI9XdKR3Ute2PUzqAgAAAAAAh0fCJ8hFRjg1JJNJXQAAAAAAoPNI+ISAfHNSVykJHwAAAAAAcHgkfEKA2cenkNHsAAAAAACgE0j4hABzUhclXQAAAAAAoDNI+IQAs6RrY2md3EzqAgAAAAAAh0HCJwQMSI9XTKRTza0ebdvTYHU4AAAAAAAgyJHwCQERToeGZnn7+BTQxwcAAAAAABwGCZ8QYTZupo8PAAAAAAA4HBI+IcJs3FxIwgcAAAAAABwGCZ8QkZdNSRcAAAAAAOgcEj4hwpzUVVTGpC4AAAAAAHBoJHxCRE67SV1bKpnUBQAAAAAADo6ET4iIcDqUm03jZgAAAAAAcHgkfEKIWda1sZQ+PgAAAAAA4OBI+ISQPEazAwAAAACATiDhE0Lys707fJjUBQAAAAAADoWETwgxd/gwqQsAAAAAABwKCZ8QkpMWr9gop1paPdpcUW91OAAAAAAAIEiR8Akhzg6TuijrAgAAAAAAB2Z5wufDDz/U1KlTtWnTJt9t9fX1mj17tubNm6e5c+equbnZugCDjNnHp5DGzQAAAAAA4CAsTfiUlZWprq5Oy5Yt63D7Nddco5NPPln33HOPJk2apHnz5lkUYfDJaxvNXshodgAAAAAAcBCRVj55VlaWzj777A637dixQ6+99pqefvppSdLpp5+uq6++WnfeeaeSkpL2O0Zzc3OHHUA1NTWSJJfLJZfLFcDoA8eM+0DxD8mMkyQV7KoJ2fWZDrVOuwmXtbJOe2Gd9sI67YV12gvrtBfWaS+s017ssM6uxO4wDMPycU8Oh0MlJSUaNGiQ5s+fr9/85jfaunWr7/tpaWl6/fXXdeKJJ+732DvuuEN33nnnfrfPnz9f8fHxAY3bChVN0l0rIxXhMHTfVLciHFZHBAAAAAAAekJDQ4MuuugiVVdXKzk5+ZD3tXSHz4Fs375d6enpHW5LTEzUjh07Dnj/efPm6YYbbvB9XVNTo5ycHJ1yyimHXXywcrlc+uCDD3TyyScrKiqqw/c8HkP3rf5IjS6PRk45XkOyEiyK8sgdap12Ey5rZZ32wjrthXXaC+u0F9ZpL6zTXlinvdhhnWZVU2cEXcLH4XAoNja2w20tLS0HfTNiYmIUExOz3+1RUVEh+waaDraG3OwkrdperZLKRg3rm9rzgfmZHd6rzgqXtbJOe2Gd9sI67YV12gvrtBfWaS+s015CeZ1didvyKV376tu3r6qrqzvcVldXp759+1oUUfDJ68VodgAAAAAAcHBBl/CZNWuWtm3bppaWFknylXJNmTLFyrCCSn7bpK4CRrMDAAAAAIADsDzhY/aMNv/bp08fnXbaafrkk08kSe+//75mz569X5lXOMtv2+FTyA4fAAAAAABwAJYmfOrq6vTkk09Kkl544QWVl5dLkp588km98sor+v3vf6/vvvtOf/jDH6wMM+jkZXt3+BSX16nV7bE4GgAAAAAAEGwsbdqcmJioa665Rtdcc02H2zMzM/XMM89YFFXw65cap/joCDW0uLWpokG52YlWhwQAAAAAAIKI5SVd6Dqn06G8bLOsiz4+AAAAAACgIxI+ISo322zcTB8fAAAAAADQEQmfEGU2bi4oZYcPAAAAAADoiIRPiDJHs1PSBQAAAAAA9kXCJ0Tlte3wKSmvl4tJXQAAAAAAoB0SPiGqX2qcEqIj5HIb2lReb3U4AAAAAAAgiJDwCVEOh0O5ZllXKY2bAQAAAADAXiR8Qlh+22j2Avr4AAAAAACAdkj4hDCzj08ho9kBAAAAAEA7JHxCWF5bSRc7fAAAAAAAQHskfEKYOZq9pLxeLa1M6gIAAAAAAF4kfEJY35RYJcZEqtVjaFMFk7oAAAAAAIAXCZ8Q5nA4lEvjZgAAAAAAsA8SPiEuv5eZ8KFxMwAAAAAA8CLhE+LMPj4bS9nhAwAAAAAAvEj4hLi9k7rY4QMAAAAAALxI+IS4vLYePpuY1AUAAAAAANqQ8AlxfVJildQ2qauknEldAAAAAACAhE/Iczgcyu3FpC4AAAAAALAXCR8byM/29vEpJOEDAAAAAABEwscW8hjNDgAAAAAA2iHhYwPmaPZCRrMDAAAAAACR8LEFM+GzqaJBza1ui6MBAAAAAABWI+FjA72SY5QUGyk3k7oAAAAAAIBI+NiCw+FQXjZ9fAAAAAAAgBcJH5vw9fFhUhcAAAAAAGGPhI9N5LUlfApI+AAAAAAAEPZI+NhEftto9kJKugAAAAAACHskfGxi76SuejW5mNQFAAAAAEA4I+FjE9lJMUqOjZTHEJO6AAAAAAAIcyR8bMLhcPh2+dDHBwAAAACA8EbCx0by6OMDAAAAAABEwsdW8rLZ4QMAAAAAAEj42IpZ0lVYyg4fAAAAAADCGQkfGzFHs29mUhcAAAAAAGGNhI+NZCXFKCUuSh5DKipjlw8AAAAAAOGKhI+NeCd10bgZAAAAAIBwR8LHZvJ8fXxo3AwAAAAAQLgi4WMz+dneHT4F7PABAAAAACBskfCxGd8OH0azAwAAAAAQtkj42EyeOamrsoFJXQAAAAAAhCkSPjaTlRij1PgoGYa0sZSyLgAAAAAAwhEJH5txOBzKz6ZxMwAAAAAA4YyEjw2ZZV00bgYAAAAAIDyR8LGhfF/jZhI+AAAAAACEIxI+NmTu8KGkCwAAAACA8ETCx4bMHT5bKhvU2MKkLgAAAAAAwg0JHxvKSIhWWtukrqIyyroAAAAAAAg3JHxsyOFwKK9tl0/Bbsq6AAAAAAAINyR8bCqfSV0AAAAAAIQtEj42tXdSFzt8AAAAAAAINyR8bCovu62ki0ldAAAAAACEHRI+NmWWdG3b06iGllaLowEAAAAAAD2JhI9NZSTGKCMh2jupq7Te6nAAAAAAAEAPIuFjY7nZZuNmyroAAAAAAAgnJHxszGzcTB8fAAAAAADCCwkfGzP7+BQymh0AAAAAgLBCwsfG8swdPpR0AQAAAAAQVkj42JhZ0rVtT6Pqm5nUBQAAAABAuCDhY2PpCdHKTIyWJG0spawLAAAAAIBwQcLH5vKyvbt8Ckn4AAAAAAAQNkj42Nzexs308QEAAAAAIFyQ8LG5XBo3AwAAAAAQdkj42Fx+tneHTwGj2QEAAAAACBskfGzOnNS1vYpJXQAAAAAAhAsSPjaXlhCtzMQYSTRuBgAAAAAgXJDwCQNm42b6+AAAAAAAEB5I+IQBs6xrIzt8AAAAAAAICyR8wkAeO3wAAAAAAAgrJHzCgLnDp5BJXQAAAAAAhAUSPmEgr200+/aqRtUxqQsAAAAAANsj4RMGUuOjlZXUNqmLsi4AAAAAAGyPhE+YMCd1UdYFAAAAAID9kfAJE3nZ3j4+NG4GAAAAAMD+SPiECbNxcwGj2QEAAAAAsD0SPmHCLOnayA4fAAAAAABsj4RPmDBLunZUN6m2yWVxNAAAAAAAIJBI+ISJlPgoZZuTuijrAgAAAADA1oI24bNu3TrNmTNHDzzwgGbPnq1vvvnG6pBCntnHh9HsAAAAAADYW6TVARzMj3/8Y7399tvq16+ftmzZolNPPVXr1q2zOqyQltcrUZ9tLFcBo9kBAAAAALC1oE34rFu3TrW13p0ocXFxqq6uPuD9mpub1dzc7Pu6pqZGkuRyueRyhWavGjNuf8c/NDNekrRhV01QvDaBWmcwCpe1sk57YZ32wjrthXXaC+u0F9ZpL6zTXuywzq7E7jAMwwhgLN126aWXqqioSO+++66eeeYZDRgwQOedd95+97vjjjt055137nf7/PnzFR8f3xOhhoySWunB1ZFKiTZ010S31eEAAAAAAIAuaGho0EUXXaTq6molJycf8r5Bm/Cpq6vT9773Pe3cuVM33nijrrzyygPe70A7fHJyclReXn7YxQcrl8ulDz74QCeffLKioqL8dtyaRpcm/nGhJOnr381Scpz/jt0dgVpnMAqXtbJOe2Gd9sI67YV12gvrtBfWaS+s017ssM6amhplZmZ2KuETtCVdTU1Nuvjii7Vjxw794he/0ODBg3XSSSftd7+YmBjFxMTsd3tUVFTIvoEmf68hIypKvZNjtaumSZv2NGticnDsgLLDe9VZ4bJW1mkvrNNeWKe9sE57YZ32wjrthXXaSyivsytxB23C55JLLtHLL7+s1NRUORwO/ehHP9KmTZuUkJBgdWghLa9XonbVNKlwd60mDkyzOhwAAAAAABAAQTmWvby8XN9++61SU1MlSbfccouSk5OZ0uUHedne0exM6gIAAAAAwL6CMuGTnp6u2NhYbd++3XdbRkaG8vPzLYzKHvJ7JUqSCktrLY4EAAAAAAAESlCWdDmdTr311lu66667NHHiRO3evVv33XdfyDZhDiZ5vcwdPiR8AAAAAACwq6BM+EjS2LFj9dRTT1kdhu3kte3w2V3TrOpGl1IsntQFAAAAAAD8LyhLuhA4ybFR6pMSK0kqZJcPAAAAAAC2RMInDJllXYWlNG4GAAAAAMCOSPiEofxsb1kXfXwAAAAAALAnEj5hyOzjU8hodgAAAAAAbImETxhiUhcAAAAAAPZGwicM5bWVdJXWNqu6wWVxNAAAAAAAwN9I+IShpNgo9W2b1FVQyi4fAAAAAADshoRPmKKsCwAAAAAA+yLhE6byadwMAAAAAIBtkfAJU+YOn0JKugAAAAAAsB0SPmEq31fSxQ4fAAAAAADshoRPmMptm9RVVtusqoYWi6MBAAAAAAD+RMInTCXGRKpfapwkdvkAAAAAAGA3JHzCWF5b42YmdQEAAAAAYC8kfMKY2cenkIQPAAAAAAC2QsInjOVlmzt8KOkCAAAAAMBOSPiEsXxGswMAAAAAYEskfMKYOamrvK5FlfVM6gIAAAAAwC5I+ISxhJhI9U/zTuqijw8AAAAAAPZBwifM+fr4lNLHBwAAAAAAuyDhE+aY1AUAAAAAgP2Q8AlzeW0JnwISPgAAAAAA2AYJnzCX38tb0lXIaHYAAAAAAGyDhE+YMyd1VdS3qKKu2eJoAAAAAACAP5DwCXPx0ZHKSfdO6ipglw8AAAAAALZAwgfKz/b28dlYSh8fAAAAAADsgIQPlNvWx4cdPgAAAAAA2AMJH/h2+DCpCwAAAAAAeyDhA+W3jWYvLGWHDwAAAAAAdkDCB8rNTpTDIVXWt6icSV0AAAAAAIQ8Ej5QXHSEctLiJVHWFQgfrdut8b//WN9WOKwOBQAAAAAQJkj4QJKU39a4uZDGzX731OJi1TW3amkpCR8AAAAAQM8g4QNJUp6vjw87fPyptKZJyzdVSpKKahxqafVYHBEAAAAAIByQ8IGkvTt8GM3uX++u3iXD8P5/i8ehVdurrQ0IAAAAABAWSPhAkpTXNpq9cHetDDNDgSO2YNVOSVJUhLeca2lxpZXhAAAAAADCBAkfSJKGZnknde1pcKm8rsXqcGyhfTnX5TMGSZK+LCHhAwAAAAAIPBI+kOSd1DUg3Tupq5BJXX7x3hpvOdfYnFSdN6GvJGnF1mo1udwWRwYAAAAAsDsSPvAxy7oYze4fC77zlnOdNbqPBmXEKyXKUEurRys277E4MgAAAACA3ZHwgY+vcXMpjZuPVGltk5a1lXOdPrq3HA6H8lK8vZGWFFVYGRoAAAAAIAyQ8IFPfq+9jZtxZN5bvbecq3+at1TOTPgsLSbhAwAAAAAILBI+8MlrN5qdSV1HxiznOnN0b99t+W0Jn2+3VqmuudWSuAAAAAAA4YGED3yGZiXK6ZCqG10qq2u2OpyQ1aGca1Qf3+3pMVL/tDi1egzf9C4AAAAAAAKBhA98YqPaT+qij093/c8s5+qfopy219M0fUi6JGkpfXwAAAAAAAFEwgcd5PViUteRWrDKW851xug++31v2mASPgAAAACAwCPhgw7y2/XxQdeV1TZrWYm3XOuACZ+2HT6rd1SrusHVo7EBAAAAAMIHCR90wKSuI/Peml3yHKScS5Kyk2I0NCtBhiF9UcIuHwAAAABAYJDwQQd52XtLupjU1XULvtsh6cC7e0wzhmZKoqwLAAAAABA4JHzQwZCsBDkdUk1Tq0prmdTVFYcr5zLNGJohiYQPAAAAACBwSPigg9ioCA3KSJDEpK6uMsu5xhyknMs0bYg34bNhd63KSKoBAAAAAAKAhA/2k5ttNm6mj09XvPPdwadztZeWEK0RfZIlSV8Us8sHAAAAAOB/JHywH1/j5lISPp1VXtesL9uaMJ95mISPtLesawllXQAAAACAACDhg/3kMZq9y95b3blyLpOZ8GGHDwAAAAAgEEj4YD/mDh8mdXXeO6s6V85lmjI4XRFOh0rK67WjqjGQoQEAAAAAwhAJH+xnSFaCIpwO1Ta1ancNTYUPp7yu2bdTpzPlXJKUFBulUf1SJDGtCwAAAADgfyR8sJ+YyAgNzPCWJdG4+fDMcq7R/TpXzmWijw8AAAAAIFBI+OCA8rPNxs308TmcrpZzmdr38aF0DgAAAADgTyR8cED5bY2bC9nhc0jdKecyTRqYrqgIh7ZXNWpLZUMgwgMAAAAAhCkSPjig3HaNm3Fw/1uzt5xrQEbny7kkKS46QuNz0iRR1oXgxM4zAAAAIHSR8MEB7d3hU8dF3yF0t5zLNJ0+PghSCzeUauzdH2nJbofVoQAAAADoBhI+OKDBmW2TuppbtaumyepwglJFXbNvwlZXy7lMZh+fpUX08UHw8HgM3fvOejW6PPqilH8mAAAAgFDEb/I4oJjICA3yTeqicfOBvNdWzjWqX3KXy7lM4wakKjbKqfK6Zm2kQTaCxMfrS7WhrZxza51U19xqcUQAAAAAuoqEDw4qv62PD42bD+xIy7kkb2Jt0sB0SZR1ITgYhqFHF270fe2RQyu2VFkXEAAAAIBuIeGDg8qjcfNB+aOcy7S3j0/5EccFHKmlxRX6ZmuVYiKdOj4/U5L0ZUmlxVEBAAAA6CoSPjgoX+NmSo328781u+UxpJF9kzUwI+GIjmX28fmiuFIeD318YK3HFxZJki6YlKOzRveWJH1BwgcAAAAIOSR8cFBmSddGJnXtxyznOnPMke3ukbwj3RNjIlXd6NLanTVHfDygu77dWqXPNpYrwunQVccN0ZRBaZKkNTtqVdvksjg6AAAAAF1BwgcHNSgjQZFtk7p2VjOpy1RZ36Klxf4p55KkyAinpgz29vFZSh8fWOjxRd7ePeeM66uc9Hj1TY1TRowht8fQV5v3WBwdAAAAgK4g4YODio50alCmt1yJPj57/W/NLrk9hl/KuUwz6OMDixXurtX/1uyWwyHNnjnUd3tusnd33xfFJCMBAACAUELCB4fk6+PDaHafBd8d+XSufZmNm5eVVMrl9vjtuEBnPbHI27vn1KN6Kzc7yXd7XoqZ8KGPDwAAABBKSPjgkPKymdTVnr/LuUwjeicrNT5K9S1urdpe7bfjAp2xtbJBb3+7Q5I0e9bQDt8b2rbDZ/X2avr4AAAAACGEhA8OyWzcXMCkLkl7y7mO6pPsK3fzB6fToWmDvbt86OODnvbU4iK5PYaOzcvUmP6pHb6XHiPlpMXRxwcAAAAIMSR8cEhmSdfG3bVM6pJ/p3Pta0YufXzQ80prm/TqV9skSbNn5h7wPlPbmorTxwcAAAAIHSR8cEiDMr2Tuupb3NoR5pO6KutbtKTI/+VcJrNx81eb9qi51e334wMH8rfPStTS6tGEAamaNiT9gPeZOtg7np0+PgAAAEDoIOGDQ4qKcGowk7okSe8HqJzLNDQrUVlJMWpu9Wjlliq/Hx/YV3WDS/9culmSNGdWrhwOxwHvZ+7woY8PAAAAEDpI+OCwzD4+hWGe8FkQwHIuSXI4HJo+xCzronQGgffC0k2qb3FreO8knTA8+6D365MSq4EZ8d4+Ppvo4wMAAACEAhI+OKy8tj4+BWE8mr19OZc/x7HvyyzrWkofHwRYfXOrnv28RJJ0zcyhB93dYzKbitPHBwAAAAgNJHxwWOzw2VvONaJPsq/ELRBmDM2UJH2ztUoNLa0Bex7gpWVbVNXg0sCM+E71pJo2lMbNAAAAQCgh4YPDMid1FZbWyeMJz0ldvnKu0b0D+jw56XHqlxonl5vSGQROc6tbz3zq3d1z9fFDFRlx+H8Kprbt8FlFHx8AAAAgJJDwwWENzEhQVIRDDS1uba9qtDqcHrenh8q5pLY+PkPp44PAenPFdu2qaVKv5BidO6Ffpx7TNzVOAzPi5TFEMhIAAAAIAUGf8FmyZInuv/9+vfXWW6qo4ALYClERTg3J9O7y2Vgafn183l+7t5xrSFZiwJ+PPj4IpFa3R098UiRJuvLYIYqJjOj0Y+njAwAAAISOSKsDOJRnnnlGJSUl+sMf/mB1KGEvr1eiNuyuVcHuWs06xDQfO1qwapekwJdzmcwdPqu2V6umyaXk2KgeeV6Eh3dW79LmigalxUfpR1MGdOmx04am65WvtpLwAQAAAEJA0O7wWbRokV555RX9/ve/tzoUSMrL9jZuDrdJXXvqW7Rko3enTaDLuUx9UuI0ODNBHkNaVlzZI8+J8GAYhh5fuFGSdNmMwUqI6VrOnz4+AAAAQOgI2h0+N9xwg4455hhdd911Kioq0m233abp06fvd7/m5mY1Nzf7vq6pqZEkuVwuuVyheUFixh1M8Q/JjJMkFeyu8VtcwbjOfb27artaPYaG90pUTmpMt2Pt6lqnDk5TSXm9Piss1fF56d16TiuEwnvqD6G6zoUbyrR+V60SoiN00eR+h41/33VmJURqQHqctlQ26ouiMs3Mzwp4zD0hVN/PrmKd9sI67YV12gvrtBfWaS92WGdXYncYhtHlsUs7duxQ3759u/qwTtuwYYNGjBihb7/9VqNHj9Z9992nu+++W0VFRcrK6niBcccdd+jOO+/c7xjz589XfHx8wGIMN7sbpT9+E6lop6E/TXHL6bA6op7xxFqn1lc7dUaOW6f277kJZSvLHXq+MEJ94w39Zqy7x54X9mUY0oOrI7SpzqET+np0zkBPt47zcpFTS0udR3QMAAAAAN3T0NCgiy66SNXV1UpOTj7kfbuV8Bk3bpxuueUWnXPOOYqK8n9/kTfeeENXXXWVysu9pTSNjY3KysrSX/7yF1111VUd7nugHT45OTkqLy8/7OKDlcvl0gcffKCTTz45IK9vd7S6PRpz90dyuQ19fMMxykk78mRaMK6zvaoGl6b/aZFaPYb+N/doDclK6PaxurrWirpmTfvTJ5KkL387U+kJ0d1+7p4U7O+pv4TiOr8sqdQlz36l6EinFt5wrLKTYg77mAOt8+1vd+pXr6/S6H7JeuPqaYEOu0eE4vvZHazTXlinvbBOe2Gd9sI67cUO66ypqVFmZmanEj7dKum65557FBUVpV/96leKjY3V+eefr0mTJnUr2ANpbW2V2713V0NcXJzy8vIOOKUrJiZGMTH7X7hERUWF7BtoCqY1REVJQ7MStX5XrUoqmjQkO8WPxw6edba3sGCXt5yrd5KG9U31yzE7u9beaVEa1itJG3bX6uutNT3WP8hfgvU99bdQWudTn26SJF0wqb/6pXdt2lz7dR6d591luWZHjRrdslVT8VB6P48E67QX1mkvrNNeWKe9sE57CeV1diXubjVtPv3003XSSSfpoYce0i233KKnnnpKo0eP1v3336/S0tLuHLKDMWPGqKqqyrfDR5IiIyM1cuTIIz42ui+vV3g1bl6waqck6UyLki3mtK4ljGfHEVq1rVqfFpYrwunQz48bekTH6pMSp0EZ8fIY0lebaCoOAAAABKtuJXyKi4tlGIZef/11nXbaafrXv/6lM888U8cdd5yefvppzZ07V5WV3b8QGD58uE4//XS9/vrrkqSqqiq1trbqzDPP7PYxceTys727AgpLay2OJPCqGlr0uTmda4w1CZ8ZvoQPI7BxZB5f5J3MdfbYvspJP/JyzGlDvOfmF0yRQxDaWd0kN+2lAAAAulfSddppp6m+vl5JSUmaO3euLrvsMl+D5MmTJ+ull17Seeedp4ULF3Y7sL///e+6/vrr1djYqK1bt2r+/PmKiIjo9vFw5PJ6tSV8wmCHz/trd/vKuYZmda38xV+mDsmQ0yEVl9Vrd02TeiXHWhIHQtvG0lq9t2aXJOmamUe2u8c0bUiGXl6+VV8Uk4xEcFm0oVSXPbdcM/s49T2rgwEAALBYtxI+hmHoySef1Pe+d+Bfp8rKyrRx48YjCiwzM1MvvvjiER0D/mWWdG0srZPHY8hp41FdC77zlnNZ2TsnJS5KI/umaNX2ai0tqtD3x/ezLBaEricWFcswpFOO6qX8tr/DR2rqkHRJ0urt1appctmqjw9C25srt0uSVlY41I2ZFAAAALbSrZKuN998c79kz8aNG7Vnzx5J0ty5c7V+/fojjw5BZWB6vKIjnGp0ubVtT6PV4QRMh3Iui5slz6CPD47A1soGvfWN9wJ49qxcvx2XPj4IRm6PoU8KyiRJ1S0Oba5ssDgiAAAAa3Ur4TN//vz9bhs8eLDOPfdc39cJCd0fYY3gFBnh9I0mL9ht3z4+7cu5crOtKecyTaePD47AXz8tlttj6JjcTI3LSfXrsenjg2DzzdYqVTW4fF8v5dwEAABhrksJn0cffVTDhg3TE088oSFDhnT406tXL9XU1AQqTgQJsySkwMaNm99ZZX05l2nyoHRFOh3atqdRW/m0Gl1QVtusV5ZvlSTN9lPvnvb2JnxIRiI4LFzvnRJqVht/WbzHwmgAAACs16UePtdee62GDRumf/7zn7r88ss7fC86Olpjx471a3AIPvk2b9xc3eAKmnIuSUqIidTYnFR9vXmPlhZV+GXCEsLDs5+XqLnVo3E5qb6dYv5kJnzo44NgsXCDN+Fz3oR+eu3r7fpyU6UMw5DDYd9+cwAAAIfS5abNJ598siZOnKj09PT9vldeXu6b1gV7Mhs327Wk6/21u+RyGxrWy/pyLtOMoRn6evMeLSkq1wWTc6wOByGgutGlfyzdLEmaMys3IBe8vVNiNTgzQSXl9VpeUqkTR/Ty+3MAnbW7pklrdnh3GV83a6jeWrFN5XUt2lha5/t3CwAAINx0KuHz6quvasaMGerfv78kacGCBftNvzAMQ++++65efvll/0eJoJHfblKX22MowmaTuoKpnMs0fWiGHvl4o5YUVfBpNTrlH0s3qa65VcN6JenE4dkBe55pQ9JVUl6vL4orSPjAUovadveM7Z+iPimxGpxsqKDaoaXFFSR8AABA2OpUwucf//iHkpOTfQmfv//979q+fbuys7N9F5+GYWjt2rWBixRBYUB6vKIjnWpu9WjbngYNzLBPc+7qBpc+ayvnOnNMb4uj2WvCgDRFRzpVWtus4vJ6Dc0Kjp1HCE6NLW49+/kmSdLsWUPlDGBSdtqQDL20bCuNm2G5heu907lmtSU485INFVRLSzZW6CfTB1kYGQAAgHU6lfD5z3/+0+Hrm2++WdOmTVNsbGyH25cvX+6/yBCUIpwODc1K1LqdNSrYXWerhI9ZzpXfK1G52cHziXBsVIQmDkjT0uIKLSmqIOGDQ3p5+RZV1rdoQHq8zgzwTrWpg719fNbsqFZ1o0spcfTxQc9rafX4kvWzhrUlfFIMaav0RUmFPB4joIlPAACAYNWtsewzZ87skOwpKSlRcXGxJk+e7LfAELzMxs126+NjlnOdObqvxZHsb0Zb092lReUWR4Jg1tLq0dOLiyVJPz9+iCIjuvUjvtPMPj4eQ/pqE7t8YI2vNleqrrlVGQnRGt0vRZI0IEGKj45QVYNL63fZ698qAACAzurW1cCMGTN06623qry8XE8++aTy8vL0wx/+UA8//LC/40MQMvv4FNoo4VPdGJzlXKYZuWbCx/tpNXAgb63crp3VTcpOitF5E/r3yHNOG+Jt4M94dljFHMd+/LAs306eCKc0aWCqJGkp5yYAAAhT3Ur4DBkyRHfffbcMw9CvfvUrPfTQQ1q2bJmampr8HR+CUF62ucPHPqPZP1i7OyjLuUxj+qcqPjpCexpc2mCjRBv8x+0x9MQnRZKkK48dotioiB55XnM8O318YJWFG7z9e07Yp0H51MHeZOTSIhI+AAAgPHUr4TNhwgRJ0m233aZhw4Zpzpw5kqR169b5LzIELXOHT1GZd1KXHQTjdK72oiKcmjzIe/GyhIsXHMC7q3eqpLxeKXFRumjqgB573n37+AA9aWtlgzaW1inC6dCxuVkdvjetLeHzZUmFbf6tAgAA6IpuJXwGDRqkmTNn6v3339cLL7ygzZs367rrrtM//vEPf8eHIJSTHq+YtkldWyobrA7niFU3uvRpofcT4kA3uT0S9PHBwRiGoccWenf3/PToQUqI6VQ/fr+gjw+stLBtHPvEAWlKie/YNPyoPklKio1UbVOr1uyotiI8AAAAS3Ur4XPuuedq0aJFKioq0qhRozRw4EA98sgj2rNnj7/jQxCKcDqU21bWZYc+PmY5V152ovJ6BV85l2nG0ExJ0pfFlWp1eyyOBsFkUUGZ1u2sUXx0hC6bMajHn39vWRe7z9CzzP49s/Yp55KkyAgnZV0AACCsdXuES2FhoT777DMtXrxYixcv1ieffKJbbrnFn7EhiJl9fApLQ7+PT7CXc5mO6pus5NhI1Ta3as2OGqvDQRB5fOFGSdLFUwcoNT66x5/fbNxMc1z0pCaX21fiOmt41gHvYyYjOTcBAEA46ta+/4svvlivvfaaevXqpcjIvYcoLS3VQw895LfgELzMnTChPpq9QznXmOBO+EQ4HZo6JEMfrN2tJUUVGpuTanVICALLSiq1fNMeRUc4dcWxQyyJwbyoXrOjRtWNLqXERR3mEcCRW1pcoeZWj/qkxGrYQXZnTm8rhV1eUimX26OoiG5/zgUAABByuvWbzwcffKAtW7Zo69atKikp8f158803/R0fglS+L+ET2jt8PmxXzpUfxOVcJrOPzxL6+KDNY227e34wqb96JcdaEkOv5FgNyUyQYXgvrIGeYJZzzRyWLYfDccD7jOidrNT4KNW3uLVqO318AABAeOlWwuemm25SWVnZfrf369fviANCaMjv5S3pCvVJXaFSzmUy+/h8tWmPWlrp4xPuVm+v1icFZXI6pKuPG2ppLFPp44MeZBiGPm5L+Ow7jr09p9NBHx8AABC2ulXStXHjRr388ssaM2aM7zbDMLRs2TKtWbPGb8EheOWkxSs2yqkml0ebK+o1JCvR6pC6rKbJpU8LvTtlgr2cy5TfK1EZCdGqqG/Rt9uqfKPaEZ6eWOSdzPW9sX01ICPe0limDUnXS8u26IsSLqoReEVl9dq2p1HREU7fzseDmTE0U/9bs1tLiyo0Z1ZuD0UIAABgvW7t8GltbdUxxxyjAQMGaODAgRo4cKAGDBig9HQuPsOFs92krlAt6/pw7W61uD3KDZFyLklyOByaZpZ1beTCOpwVldXpndXeHWrXzLR2d4+0fx8fIJAWtY1jnzokXQkxh/7syuzj89XmSjW3ugMeGwAAQLDo1g6fefPmafDgwXI6O+aLfvazn/klKISG/Owkrd5eo42ltZJ6Wx1Oly34LrTKuUwzhmZowXc7taSoXNeflGd1OLDIk4uKZBjSSSN6aXjvZKvD8fXxKS6v1/KSSp10VC+rQ4KNmeVcs4YdvJzLlJedqMzEaJXXtejbrdWaMpgPpwAAQHjo9riKU089VRdccIEkafny5frDH/6gtLQ0vwWG4JfbK3R3+LQv5zorRMq5TGYfn5VbqtTk4tPqcLS9qlFvrtwuSZo9y/rdPSb6+KAn1Da5tHyTtzn4rEP07zE5HA7fuUkfHwAAEE66lfD56U9/qqOOOkoDBgyQJE2ePFmjRo3S5Zdf7tfgENzys0N3NHsolnOZBmXEq09KrFrcHn29eY/V4cACf11crFaPoRlDMzRhQPAk2qcN8e6coI8PAunzjRVyuQ0NyojX4MyETj1mupnwKWbCIQAACB/dSviMGzdODz30kHJycny3tba26oMPPvBbYAh+ZqKkuKxere7QmhgVatO52nM4HL6LF8azh5/yuma9vHyLJAVdA9rp9PFBD2g/jr2zzD4+KzazMxIAAISPbiV8UlNTVVdXJ4fDIUlavXq1brrpJk2ZMsWvwSG49U+LU1xUhFrcHm2ubLA6nE6raXJpcUHbdK4QTPhIey9ellCeEHae+7xETS6PxvZPOex0op6WnRyrIVkJMgxpWUml1eHAhgzD0MINhx/Hvq8hmQnqlRyjFrdHK9gZCQAAwkS3Ej5z5szR5ZdfrgcffFAjRozQ2LFj1bdvX/3tb3/zd3wIYu0ndRWGUFnXR+u85VxDsxKU3yv0xslLexM+322rVl1zq8XRoKfUNLn09yWbJUmzZ+X6ku7BZBp9fBBAa3fWqLS2WXFREV1qvtx+Z+RSzk0AABAmupXwSUlJ0auvvqrPP/9cL7zwgjZt2qR///vfHUq8EB7yQrBxszmd68zRfYLygrkz+qfFa2BGvNweQ8vZSRE2/rF0s2qbW5WXnaiTRwTnFCwSPgikRRvKJElH52YoNiqiS481E+U0bgYAAOGiWwmfu+66S5LUp08fTZkyRTk5OTIMQ9dee61fg0PwM/v4hErj5vblXGeE2HSufdHHJ7w0trj17GclkryTuZzO4ExWTmvbdbF2Z42qG+jjA//yjWPvQjmXafoQ74TDb7dVqaGFnZEAAMD+Irty58cee0xff/21vv76a+3atavD9yorK/Xll1/q0Ucf9WuACG5mSdTG0tDY4dO+nGtYiE3n2tf0oRl6eflW+viEiVe/2qqK+hb1T4vT98b0tTqcgzL7+BSX1WvZpkqdfFRw7kRC6NlT36KVW7z9d7rSsNmUkx6nfqlx2l7VqK827dFx+Vn+DhEAACCodGmHz5w5czRgwAAlJydr4MCBHf5MnTpV//vf/wIVJ4JUXnZoTepa8J03URnK5Vwmszxh7c4aVTW0WBwNAqml1aOnPimSJP38+KGKjOjW5sweQ1kXAmFxYZk8hjSsV5L6pcZ1+fEOh4OG9wAAIKx0aYePJN1xxx0655xzNH78+P2+V1ZW5pegEDr6pXondTW63NpU0eBr4hyMaptcWlzoPUdDvZxLkrKTYpWXnajC0jp9UVyp00b1tjokBMjb32zXjuomZSbG6PyJ/a0O57CmDcnQ/C+3kPCBX/nGsQ/v/s6c6UMy9PrX22jcDAAAwkKXEz6SNGbMGH3wwQfavXu3PB7vrg7DMPTOO+/olVde8WuACG5Op0N5vRL13bZqFe6uDeqEz0frStXS6tEQG5RzmaYPzVBhaZ2WFpWT8LEpt8fQE227e648dnCXG9VaYd8+PinxURZHhFDn9hj6pMCbsD+hG+VcJnOHz+rt1aptcikplnMTAADYV7cSPieffLLWrFmj/Px8RUbuPURBQYHfAkPoyMtO0nfbqlWwu06nj7Y6moNbsCr0p3Pta8bQDP196WbKE2zsf2t2qbisXsmxkbp42kCrw+kU+vjA377dVqU9DS4lxUZqwsC0bh+nb2qcBmbEa3NFg5ZvqtQJwzk3AQCAfXUr4VNQUKBNmzYpLq5jDf2yZcv8EhRCi9m4uaA0eCd11Ta5fJ8OnzE69Mu5TFMHZ8jhkApL61Ra26TspFirQ4IfGYahxxdtlCRddvRgJcZ060e2JaYPyVBxWb2+KK4g4YMjtqitnOu4vCxFHWEPq+lDMrS5okFLiypI+AAAAFvr1m9Nf/rTn/TVV1/td7thGEccEEKPOZq9MIhHs/vKuTITNLy3Pcq5JCktIVpH9UmWJH1RXGlxNPC3xYXlWr29RvHREfrpjEFWh9MlZuPmpew+gx98vKH749j3ReNmAAAQLrr1cfErr7yitWvXasCAAb7bDMPQunXr9hvXDvvLa9vhU1JeL5fbc8SfvgaCr5xrjH3KuUzTh2RozY4aLS0q19ljg3dcN7rusYXe3T0/mjJAaQnRFkfTNVOHePv4rNvlnSKXGh9a8SN4lNY0afX2GknS8X4YpT59SMcJh5ybAADArjqd8Kmrq1NiovfCPj8/XyeccIJSU1N9F89ut1sLFiwITJQIav1S45QQHaH6Frc2V9QrNzu4dtDYtZzLNCM3Q898VsKn1TazfFOllpVUKirCoSuPHWJ1OF2WnRSroVkJKiqr17KSSp0ykqbi6J5FbT+/x/RPUVZSzBEfLzt577n5ZUmlTuXcBAAANtXphM9LL72kK6+8UpL061//WllZWXI6O+7k2L59u3+jQ0hwOBzKzU7Ut22Nm4Mt4fPxenuWc5kmD0pXhNOhzRUN2l7VqH6pcYd/EILe4227e34wsb96p4Rmb6ZpQzJUVFavL4pJ+KD7fOPYj2A6176mD/Wem0uLKkj4AAAA2+p07c3VV1+tvn37asCAAZo8ebIGDRqkAQMG+P70799fd999dyBjRRDLa+vjUxCEfXwWfOct5zrDRtO52kuKjdKY/imS6JdiF2t2VGvhhjI5HdLPjxtqdTjdZvbx+aKY8xLd43J79GlhuSTpBD/07zFNH5IpiXMTAADYW6d3+MyaNUsXXXSRIiIiDvh9l8ul1157zW+BIbSYk7oKd9dZHElHdc2tvnIAO5ZzmaYPydDKLVVaUlSuH0zsb3U4OEJPLCqSJJ01pq8GZSZYHE330ccHR+qrTXtU19yqjIRojemX4rfjTms7N9fvqlVFXbMyEo+8VAwAACDYdDrhc88992jy5MmHvM/48eOPOCCEpmDd4fPRut1qafVocGaCRvSxXzmXacbQTD2+qEhLiypkGIYtdzKFi+KyOl+T8Wtmhu7uHok+Pjhyi9qmcx2fnyWn038/1zISYzSsV5I27K7VF8WVOnOMfT8QAAAA4avTJV2HS/ZI0sSJE48oGIQuczR7SXm9Wlo9Fkezl1nOdaZNy7lMEwemKTrCqZ3VTdpU0WB1ODgCT31SLMOQThyerRF9kq0O54jtLeuqtDgShKKP1/tvHPu+zPHsS4vL/X5sAACAYBB887MRkvqmxCoxJlKtHkObKuqtDkdS+JRzSVJcdITGD0iVRB+fULajqlFvrNwmSZo9K9fiaPzDvKimVwq6amtlgwpL6+R0SMflHfk49n35Ej78zAQAADZFwgd+YU7qkoKnj0+4lHOZzIuXJUV8Wh2q/vppsVxuQ9OGpGviwDSrw/GLqYO956XZxwfoLDNhP3FgmlLio/x+/GmDM+RwSEVl9SqtafL78QEAAKxGwgd+k9eW8AmWPj7vrDKnc/W2dTmXacZQ79QZs48PQktFXbNeXrZVkjTHJrt7JCkrKUa52YkyDOnLEsq60HmLAjCOvb2U+Cgd1VY2uZQdaAAAwIZI+MBvzD4+haXWJ3zqm1u1aEN4lHOZxuWkKjbKqYr6FhUEyS4rdN7zSzap0eXWmP4pOiY30+pw/MqciERZFzqryeXW50X+H8e+r+lDKDkEAAD2RcIHfpPXy9zhY32y4aP1pWpu9WhQRrzvE1y7i450avIg74X1Usq6Qkptk0vPL9kkSZo9c6jtdqTRuBld9UVxhZpcHvVOjtXw3oEryZ2Ra5bCkvABAAD2Q8IHfmPu8NkUBJO6Fny3Q5J3d4/dLp4PZW8fHy5eQsk/v9ii2qZWDc1K0ClH2W90udnHZz19fNBJ5g7NWcOzAvozfPKgdEU4Hdpc0aAdVY0Bex4AAAArkPCB3/RJiVVS26SuknLrJnW1L+c6c0x4lHOZzD4+XxRXyO2hj08oaHK59bfPiiVJs2fmyum0X4KSPj7oCsMw9o5jD1D/HlNSbJRG9UuRxLQuAABgPyR84DcOh0O5vaxv3ByO5VymUX2TlRQTqZqmVq3dUWN1OOiE177aqvK6FvVLjdPZ4/paHU7A0McHnVVcXq8tlQ2KinDo6B7oZ2X28aFxMwAAsBsSPvCr/Oy2xs0WJnze+c6czhVe5VySFBnh1NS2C+ulxfTxCXYut0dPfuLd3XP18UMUFWHfH8n08UFnLWzb3TN1cIYSYiID/nxmKSwTDgEAgN3Y9+oCljAbNxeWWtO4ub65VQs3eC8WwmU6177MC2v6+AS/f3+zQ9urGpWZGK3zJ+VYHU5A0ccHnWWW5M4cltUjzzdpYJoinQ5tr2rU1kr6+AAAAPsg4QO/ymtr3GxVSdfHbeVcAzPiNbJveJVzmcw+PstKKuVyW9s8Gwfn8Rh6fNFGSdLPjhmi2KgIiyMKrKykGOXRxweHUdfcqi9LvMnqQI5jby8hJlLjclIlsTMSAADYCwkf+FV+2w6fTRUNam519/jzv7MqfMu5TMN7JyktPkoNLW59t63K6nBwEO+v3aWisnolxUbqkmkDrA6nR+wt62L3GQ7s843lcrkNDcyI1+DMhB573vZlXQAAAHZBwgd+1TvZO6nLbcGkrvrmVt9klzPDtJxLkpxOBxcvQc4wDD2+qEiSdNmMQUqKjbI4op5hJnw4L3Ewizbsnc7Vk0n79o2b6eMDAADsgoQP/MrhcPj6+BTs7tk+PpRz7TWdPj5B7bON5fpuW7XioiL006MHWx1OjzEbiq/fVas99fTxQUeGYWjhem//nlk9VM5lmjAwTdERTu2uae7xDysAAAAChYQP/C6/lzWTuijn2mt6Wx+frzbvUZOr50vrcGiPLfT27vnRlAFKT4i2OJqek5no7eMj0ccH+1u3s1a7apoUG+XU1MHpPfrcsVERGj8gVRLj2QEAgH2Q8IHfWdG4uaFl73SucC7nMg3NSlB2UoxaWj1asWWP1eGgna83V+qL4kpFRTh05XHhs7vHRB8fHIz5M/zooZmWNDE3S2HZGQkAAOyChA/8zmzcXNiDJV0fry9Vk8ujAemUc0ne0roZbRcvX3DxElQeX+jt3XPu+P7qkxJncTQ9j4QPDsbs3zOzh8u5TOaEwy/p4wMAAGyChA/8zizp2lRR32OTuijn2h+fVgefdTtr9NH6Ujkd0tUzh1odjiXo44MDqWpo0debvbsRZw3LsiSGsTkpio1yqryuRYWlPduDDgAAIBBI+MDvspNilBQbKY8hFZcFvvllQwvTuQ7E/LT6m61Vqm9utTgaSNITbZO5zhjdp0dHTgcT+vjgQBYXlstjeHeI9k+LtySGmMgITRroTUgySQ4AANgBCR/4ncPh8O3y6Yk+Pu3LuUb1o5zLlJMer/5pcWr1GFq+iQtrq20qr9d/v9shSZo9M9fiaKxFWRf2tWj93nHsVjJ3RpLwAQAAdkDCBwHRk318KOc6OLOPD1NnrPfU4iJ5DG+5ylFh3mfKvKgm4QNJcnsMLSqwZhz7vnzJyJIKeTz08QEAAKGNhA8CIi+7Z3b4UM51aHxaHRx2VTfp9a+3SZLmzArv3T2SNGUwfXyw13fbqlRZ36KkmEhNHJhmaSxj+qcoITpCVQ0urdtVY2ksAAAAR4qEDwLCLOkKdOPLhevL1OTyKCc9jnKuA5g+xNvHZ/X2alU3uCyOJnw982mxXG5DUwana9KgdKvDsVxmYoxvF+CXJSQjw93CDd7dPcfmZyoqwtpfS6IinJo8mD4+AADAHkj4ICDMi7nNFfVqcgVuUhflXIfWOyVWQ7IS5DG4sLbKnvoWvfjlFkns7mlvbx8f+kuFO984dov795im02MKAADYBAkfBERWUoxS4qICOqmrscVNOVcn0MfHWs8t2aRGl1uj+iXruLxMq8MJGjRuhiSV1jbpu23VkqSZFo1j35dZCvtlSaXc9PEBAAAhjIQPAsLhcPhGLxeWBqaPz8INpWp0udU/LU6j+6UE5DnswCzrojyh59U1t+r5z0skSXNm5rILrZ32fXwq6eMTtj5pK+ca3S9F2UmxFkfjNbJvipJiI1Xb1Ko1O6qtDgcAAKDbSPggYPICPJp9wXfecq4zx1DOdSjThuy9sC6va7Y4mvDy4hebVdPUqiFZCTp1ZG+rwwkq7fv4LKPcMGwtakv4zAqS3T2SFOF0aGpbQnIJiXIAABDCSPggYMyLuYIAjGannKvzMhJjNLy3N/lG+UzPaXK59cxn3t091xw/VE4nScl90ccnvLncHi0uDI5x7PuaPpSdkQAAIPSR8EHA+CZ1BWCHD+VcXTODi5ce9/rX21RW26x+qXH6/vh+VocTlOjjE96+3rxHtU2tSk+I1pj+qVaH04HZuHn5pkq53B6LowEAAOgeEj4ImDxzUldlg98ndS1om851JtO5OsVsQkrCp2e0uj168pMiSdJVxw2xfNR0sJpKH5+wtrBtOtfx+VmKCLIdcMN7JyktPkoNLW5fU2kAAIBQw1UIAiYrMUap8VEyDGljqf/Kuhpb3Pp4nfdC4QzKuTplyuB0OR1ScXm9dlY3Wh2O7f3nux3atqdRmYnRunByjtXhBK2MxBgNa9sJSB+f8LNovbecK1imc7XndDo0dTA70AAAQGgj4YOAcTgcys9uK+vy46SuRe3Kucb0p5yrM1Lionylb+zyCSyPx9DjC727ey4/ZrBioyIsjii4mU3FOS/Dy/aqRm3YXSunw7vDJxixMxIAAIQ6Ej4IKLOsq9CPjZvNcq4zKOfqEpqQ9owP1u1WYWmdkmIidcm0gVaHE/Ro3ByeFrY13Z8wIE2p8dEWR3NgZsJn+aZKNbf6tywZAACgJ5DwQUDlZft3Uldji1sfrWM6V3eYFy9LiipkGIbF0diTYRh6fJF3d89PZgxUcmyUxREFvyltfXw27K5VRV2zxdGgpyxq698TbNO52svLTlRmYrSaWz36ZkuV1eEAAAB0GQkfBJRvUpefSroo5+q+yYPSFOl0aHtVo7ZW0scnEJYUVejbrVWKjXLqp0cPtjqckNCxjw+7fMJBk8utzzd6dxrOGha8CR+Hw+HbgbaUPj4AACAEkfBBQOW1XchtqWxQY8uRb4mnnKv74qMjNX5AqiRpSVG5tcHY1GMLN0qSfjh5gDITYyyOJnSYfXxojhseviypVKPLrV7JMRrRJ8nqcA6JPj4AACCUBX3Cp6WlRWPHjtWiRYusDgXdkJkYrbS2SV1FZUdW1tXkcuvj9UznOhK+Pj5cWPvdii17tKSoQpFOh646bojV4YQU+viEF7N/z6xh2UGfuJ/edm6u3FKlJhd9fAAAQGgJ+oTPfffdp02bNlkdBrrJ4XD4dvkU7D6ysq5FG0rV0OJWv9Q4jaWcq1vMixf6+PifOZnr/8b3U9/UOIujCS308QkvZv+emUFczmUanJmgXskxanF79PXmPVaHAwAA0CVBnfBZsmSJ+vTpo7S0NKtDwRHI7+Wfxs0LVu2SJJ0xunfQfyocrMYPSFVMpFNltc1HvOMKe23YVasP1+2WwyFdPXOo1eGEHPr4hI/isjptqmhQVIRDx+RlWh3OYTkcDs1gwiEAAAhRkVYHcDD19fV67bXX9MADD+iuu+466P2am5vV3Lz3E+GamhpJksvlksvlCnicgWDGHarx72toZrwkacOu6g5r6so6m1xufbRutyTp1KOyQ+61CZb3NELSxAGpWlJcqU8LSjUwLdavxw+WdQbavut87ONCSdJpR/XSgNQY26y/J9/PKYNStWF3rZZsLNNJw3s2ERCu560VPlzrTdxPHpimGKcRkFj8vc7JA1P15srtWlJULpcreMo1g+H97Ams015Yp72wTnthnaGjK7E7jCCt67jtttt07bXXKjs7W4MGDdLzzz+vmTNn7ne/O+64Q3feeed+t8+fP1/x8fE9ECkOp7DaoUfXRigjxtBtE7rXA+HbCoeeLYhQeoyh28a7xQaf7nt/m0MLtkZobLpHlw/zWB1OyCtvkn6/MkKGHPr1mFb1T7A6otBk/h3vE2fot+PolWJXj691akO1U98f6NasvkH568d+Kpqku1ZGyukwdO9kt2IirI4IAACEs4aGBl100UWqrq5WcnLyIe8blDt83nvvPU2aNEnZ2Yev7583b55uuOEG39c1NTXKycnRKaecctjFByuXy6UPPvhAJ598sqKioqwO54hV1DXr0bWfqLLFoVknnaq4aO9vy11Z5/uvfidpl/5v0iCdedqwHojav4LpPe2zpUoL/rpMmxtjdNppM+V0+i97FkzrDKT267zr3UIZ2qbj8zJ11fkTrA7Nr3ry/ZxW36Jn712knY0OTT3+JGUkRAf0+doLx/PWinXWN7fqV8sWSjJ0zTnHaUhWYLKjgVjn30oWa3tVkzKHT9GxQVKKZvX72VNYp72wTnthnfbCOkOHWdXUGUGZ8Ln//vu1cuVK39d79uzROeeco5tvvlk33XRTh/vGxMQoJmb/8cdRUVEh+waa7LAGSeqdFqX0hGhV1rdo855mjd6n4fLh1tnkcmvhhjJJ0llj+4X0axIM7+n4QRlKiI5QVaNLGysaNbKv/xtgB8M6e0Jlo1tvrNghSbr2xDzbrrkn3s9eqVEa3jtJ63fVasXWGksm8YXLeWvVOpcVVMjlNjQgPV75fVIC3ovNn+ucPjRTr3+9Tcs2V+uEo4JrSiTnrb2wTnthnfbCOu0llNfZlbiDsmnz/Pnz9c033/j+9O3bV88884yuvvpqq0NDN+Vlm42buz6pa9GGMt90rnE5qX6OLPxERTh9U5FoQnpknluyWS1ujyYPStPkQelWhxPy9o5n57y0IzNxP2tYVsg13jcnHC4tKrc4EgAAgM4LyoRPVlaW+vfv7/sTERGhrKyskC3RgpRvjmYv7XrC551VOyVJp49iOpe/MHXmyNW7pJeWb5MkzZ6Va3E09jBtiDdpRsLHfgzD2DuOfXjwj2Pf1/Sh3oTPqu3VqmkK3SaPAAAgvARlwgf2Y45mL+ziaPb207nOGBNc2+hDmXnx8mVJpVrdNG7ujsW7HGpoceuoPsmamZ9ldTi2MGWw97ws2F2n8rrmw9wboWT9rlrtrG5SbJTTt1smlPRNjdOgjHh5DGl5SaXV4QAAAHRKSCR8Nm3adMAJXQgdeeYOny6WdH1SUKb6tnKu8ZRz+c2IPslKiYtSXXOrVm2vtjqckFPX3KrFO70/PufMymXnmZ+kJ0RreG/vz4plXFTbysK23T0zhmYqNio0x1yZiXJ2RgIAgFAREgkfhD6zpGvbnkY1tLR2+nELvqOcKxAinA5f+cwSLl667JWvtqnB7dDgjHidNqq31eHYCn187GnR+r39e0KVeW4u5dwEAAAhgoQPekR6QrRvzPLG0s6VdVHOFVhmHx8urLumudWtZz/fLEm68tjBivDjWHvQx8eOqhtc+nrLHknSzGGh17/HZJaird1Zo6qGFoujAQAAODwSPugxeb3MSV2dS/iY5Vx9U2Ip5woAszxh+aZKNbe6LY4mdDz/+SaV1jYrNdrQOWNJRPobfXzsZ3FhmdweQ3nZicpJj7c6nG7LTo7V0KwEGYb0RTElhwAAIPiR8EGPMcu6CjvZx8c3nWt0H8q5AiAvO1GZidFqcnn0zZYqq8MJCV9v3qP7/rdBknRaf4+iI/kR6m/08bEfs3/PrBCczrUvdkYCAIBQwtUKekxXGjd7y7m8FwlnjGYXRSA4HA5Nb7t4oY/P4VXWt+ja+SvU6jF05ujempZtWB2Sbfl6pXBehjyPx9AnG7z9e2aGcP8eE42bAQBAKCHhgx6Tn935kq7FBWWqa25VH8q5AmrGUJqQdobbY+j6l1dqZ3WThmQl6PfnHCU2nQUOjZvtY9X2alXUtygxJlKTB6VbHc4RM8/NDbtrVUHJIQAACHIkfNBjzJKu7VWNqm8+9KQus5zrjNF95KQpbsCYTUhXbtmjxhb6+BzMox9v1KeF5YqNcuqJiycqMSbS6pBsbepgb2KgsJQ+PqHu4/XenZrH5mUqKiL0f+VoX3JIHx8AABDsQv+3L4SMtIRoZSbGSPJeyB1Mk8utDynn6hEDM+LVNyVWLrehrzZz8XIgnxWW68GPCiRJf/y/0RrWdrGHwElrd1H9JRfVIW2R2b8nhKdz7cvc5bOkqNziSAAAAA6NhA96VH7bpK5DNW6mnKvn0Mfn0HZVN+n6l1fKMKQfTcnRuRP6Wx1S2KCsK/SV1Tbr223VkuzRv8dEKSwAAAgVJHzQo/La+vgcaoePbzrXKMq5esIMmpAekMvt0bXzV6iivkUj+ybr9u+NtDqksELCJ/R9UuBt1jyqX7Kyk2MtjsZ/pg7OkMMhFZfVa3dNk9XhAAAAHBQJH/Sow03qal/OdeaY3j0WVzgzp858t61KNU0ui6MJHn9+b72+2rxHSbGRevziCYqNirA6pLBCH5/Qt9CG5VySlBIfpZF9kyWRkAQAAMGNhA96lNm4ufAgk7o+LSxXXXOreifHanxOWk+GFrb6psZpUEa8PIa0vIR+KZL0vzW79NdPSyRJ/+/8sRqYkWBxROGHPj6hrdXt0eICcxy7vRI+0t6G9+yMBAAAwYyED3qU2cNne1Wj6g4wqYvpXNagj89emyvq9avXvpUkXXnsYJ06kp1mVqGsK3St2FKl2qZWpcVHaZwNe7GZOyP5mQkAAIIZCR/0qNT4aGUleSd1bdynj0+Ty60P1+6WRDlXT6OPj1eTy63ZL65QbVOrJg1M002nDbc6pLBmXlST8Ak95jj24/OzFGHD5P3kQemKcDq0pbJB26sarQ4HAADggEj4oMf5JnWV1ne4/dPCctVSzmUJcyfF2p012lPfYnE01rnzP2u1ZkeNMhKi9ehFExQVwY9IK00dnC6Hw9vHp6yWPj6hxDeOfbj9yrkkKSk2SqP7pUgiUQ4AAIIXVzPocXnZ3r4c++7w8U3nGt2bcq4elpUU40vEhetuijdWbNNLy7bI4ZAe+uF49U6xz1ShUJUaH63hvb3Ncb8sCc/zMhTtqGrU+l21cjqk4/LsM459X9PZGQkAAIIcCR/0uLy2xMLGsr0Jn+bWduVco/tYEle4mxHGfXw27KrVzW+uliT94sR8HZOXaXFEME0b4p3WFa6JyFBkTucaPyBNaQnRFkcTONPb9ZgyDMPiaAAAAPZHwgc9zjepq11J16cFe8u5JgygnMsKvk+rw+zCuq65Vde8+LUaXW4dm5ep607ItToktLO3cTOTukLFwvXe6Vyzhtl3d48kTRqUpqgIh7ZXNWprJX18AABA8CHhgx6X31bStbO6SU1tg7rMcq7TRlHOZZVpgzPkcHhL7UprmqwOp0cYhqF5b6xScVm9+qTE6sELx3H+BRmzj89G+viEhOZWtz7fWC7JnuPY24uPjtTY/qmSpCVF5dYGAwAAcAAkfNDjUuKjlN02qWtXo9Tc6tEHbeVcZ42hnMsqKfFRGtnX2y8lXHb5/OOLzfrPtzsU6XTo0YsmKCMxxuqQsA/6+ISWZSWVanS5lZ0U4/t5YmfhujMSAACEBhI+sIRZ1rWzwaHPiyoo5woSvj4+G+1/8fLN1ird/d+1kqR5Z4zQxIGce8GKPj6hwxzHPmtYthwO+++Wa9+4mT4+AAAg2JDwgSXMxs27Gh16d9UuSZRzBYNw+bS6qqFFc15cIZfb0OmjeuvyowdZHRIOgT4+oWPRhrb+PcPt3b/HNGFAmqIjnSqtbVZxef3hHwAAANCDSPjAEuYOn2310odtDT7PpJzLcpMHpSvC6dCWygZtrWywOpyA8HgM3fDqt9pe1ahBGfH60w/GhMVOhFBGH5/QUFJer5LyekVFOHR0bnhMuouNitCEAamSGM8OAACCDwkfWCLfHM1e41Rdc6t6JcdoIuVclkuMidTY/imS7LvL58nFRfp4faliIp16/OKJSo6NsjokHEZqfLRG0Mcn6C1sK+eaPChdSWH092r6EG9yy64/MwEAQOgi4QNL5LZN6jKdPqoP5VxBwuzjY8dPq5cWVej//W+DJOmuc0bqqDBoKmsXZlmXHc9Lu1i4YW//nnBilsJ+QR8fAAAQZEj4wBIpcVHqlbR3ItIZoynnChYzbNqEtLSmSde9tFIeQ/rBxP66YFKO1SGhC2jcHNwaWlr1ZVuPpXDp32Mal5Oq2CinKupbVLC7zupwAAAAfEj4wDK52d6yruykGE1iQlLQmDAwTdERTu2qaVKJTZqQtro9uu6llSqva9bw3km6+5xR9O0JMVPa+vgUldWrtLbJ6nCwjyUbK9Ti9ignPU5DsxKtDqdHRUc6NXmQNyG5tKjc4mgAAAD2IuEDy4zp5y2nOXM007mCSWxUhCYMTJUkLbFJ+cxfPijQlyWVSoyJ1OMXT1BcdITVIaGLOvTxYVpX0Pl4Q3iNY9+Xr+SQHWgAACCIkPCBZa48drB+NNStX56Ya3Uo2Ied+vh8tG63Hl9UJEn603ljNCTMdh/Yyd7x7KF/XtqJYRhatD48+/eYfH18iivl8dinFBYAAIQ2Ej6wTFJspKZlG+y2CEIzhu69sA7li5etlQ264dVvJUmXzRikM8fQKyqU0ccnOBXsrtOO6ibFRDp9SblwM7pfihKiI1Td6NLanTVWhwMAACCJhA+AAxjTP1VxURHeJqSltVaH0y3NrW7Nmb9C1Y0ujctJ1e/OGGF1SDhC9PEJTuZ0rhlDM8I2gR8V4dTkwSQkAQBAcCHhA2A/0ZF7L16WbAzNi5c/LFin77ZVKzU+So9dPEHRkfy4C3X08QlOH5vlXMPDs5zL1H7CIQAAQDDgCgjAAZkXL6HYuPnf3+7Q35duliQ9cOE49UuNszgi+Mv0ofTxCSbVjS59vXmPpPDt32OaPsTb+2xZSaVa3R6LowEAACDhA+AgzITPlyUVcodQH5+NpXX67b++kyRdOys37C9C7YbGzcHls8JyuT2GcrMTlZMeb3U4ljqqb7KSYyNV29yqNTvo4wMAAKxHwgfAAY3sm6Kk2EjVNrVqzY5qq8PplIaWVs1+8Ws1tLg1Y2iGfnlyvtUhwc+mDGrXx6eGPj5W85VzDcuyOBLrRTgdmjKY8ewAACB4kPABcEARToemDg6dsi7DMHTLm6tVsLtO2UkxeuiH4xXhdFgdFvwsJT5KR/Xx9vH5ooQ+PlbyeAx9UhDe49j3NT2ES2EBAID9kPABcFCh1Mfn5eVb9cbK7YpwOvTIj8YrKynG6pAQIJR1BYfVO6pVXteixJhITRqUbnU4QWF627n51aZKuejjAwAALEbCB8BBzcjde/HS0hq8Fy+rt1fr9n+vkST9+tRhmtp20QV7IuETHBauL5MkHZObyRS8NsN7JyktPkoNLW59t63K6nAAAECY4zc0AAeVn52k9ITooL54qW50afaLK9TS6tFJI3rpqmOHWB0SAszs41NMHx9LfbzBHMdO/x6T0+nwJSQZzw4AAKxGwgfAQTmdDl+JQjCWdRmGoV+/9q22VDaof1qc7j9/rJz07bE9+vhYr7yu2ZcEnkn/ng7MPj40bgYAAFYj4QPgkPY2IS23OJL9PfNpid5fu1vREU49cfFEpcRHWR0SeghlXdZaXFAmw5BG9k1Wr+RYq8MJKnv7+OxRc6vb4mgAAEA4I+ED4JDMxs0rtlSpyRU8Fy/LN1Xq3vfWS5Ju+95RGt0/xeKI0JNI+Fhr7zh2dvfsKzc7UZmJMWpu9WjlliqrwwEAAGGMhA+AQxqcmaBeyTFqafVoxeY9VocjyVtOcu38FXJ7DJ0zrq8unjrA6pDQw6YMpo+PVVrdHi0u8DZspn/P/hwOx96yriAshQUAAOGDhA+AQ3I4HJoxNFNScPTxcXsM/eLlb7S7plm52Yn64/+NlsNB355wkxIXpZF96eNjhZVbq1TT1KrU+CiNy0mzOpygZJZ10ccHAABYiYQPgMMKpj4+D31UqM82lisuKkJPXDxBCTGRVocEi0wbzC4KKyxsK+c6Pj9LETRJPyDzZ+Y3QVYKCwAAwgsJHwCHZfbx+W5bteqaWy2L45OCMj3ycaEk6d7zRiuvV5JlscB6Zh+fL9lF0aPo33N4gzLi1Ts5Vi1uj74OklJYAAAQfkj4ADis/mnxykmPU6vH0PJN1pTP7Khq1C9eXinDkC6eOkDnjOtnSRwIHpPNPj7l9dpNH58esbO6Uet31crhkI7Lp3/PwbTv4xMMOyMBAEB4IuEDoFNmDPH28bGifKal1aNr56/QngaXRvdL0a1nHdXjMSD4dOjjwy6fHrFog7dZ8/icVKUnRFscTXDz9fGh5BAAAFiEhA+ATpmRa92n1fe+u14rtlQpOTZSj188QbFRET0eA4KT2cfni2IaN/cEyrk6b3q7Uth6C0thAQBA+CLhA6BTzE+r1+yoUXWDq8ee991VO/Xs5yWSpPsvGKec9Pgee24EP/r49JzmVrc+3+hN+M4aTsLncHLS49U/zdpSWAAAEN5I+ADolOzkWA3NSpBhSF+U9MzFdUl5vX79+neSpJ8fP0QnH9WrR54XoYM+Pj1neckeNbS4lZUUo6P6JFsdTkhgPDsAALASCR8AnTZjaM/18WlyuXXNP79WXXOrpgxK169PGRbw50TooY9Pz1m4wSznypKTceydYpZ1fUEfHwAAYAESPgA6bUYPTp25/e01Wr+rVpmJ0XrkovGKjODHFQ7M3EVBH5/AWkj/ni4zEz6rtlerpqnnSmEBAAAkEj4AumBq24V1we46ldU2B+x5Xvtqq175aqucDunhH45Xr+TYgD0XQh99fAJvU3m9isvrFel06Oi8TKvDCRl9UuI0KCNeHkNaRkISAAD0MBI+ADotPSFaI/oEtnxm3c4a3fr2aknSDSfna0YuF5c4tEmD0uWkj09ALWor55o8KF3JsVEWRxNappulsCQkAQBADyPhA6BL9pZ1+f/ipbbJpdkvrlCTy6OZw7I0e2au358D9uPt45MiiT4+gbJwQ5kkadbwLIsjCT1mWVdP9D4DAABoj4QPgC6Z4bt48W8fH8Mw9Nt/rVJJeb36psTqgQvG0RgWnTZtSLokEj6B0NDS6tudQv+erjPPzXW7arSnvsXiaAAAQDgh4QOgSyYP9pbPbKpo0I6qRr8d9/klm7Rg1U5FRTj02MUTlJYQ7bdjw/6m0bg5YJYWVail1aN+qXHKzU60OpyQk50Uq9zsRBmG9GUJCUkAANBzSPgA6JLk2CiN7p8qyX8lCiu27NEf31knSfrdGSM0fkCaX46L8GH28Skpr9euavr4+JM5jv2E4dlyONh11x3mJDnKugAAQE8i4QOgy/zZx2dPfYuufXGFXG5DZ47uo8tmDDriYyL8tO/jwy4K/zEMQwvX07/nSPlKYSk5BAAAPYiED4Aua9/HxzCMbh/H4zH0i1e+0Y7qJg3OTNC9541mBwG6jT4+/ldYWqftVY2KiXRq+hAm5nXX1LYdPgW761Re12xxNAAAIFyQ8AHQZZMGpisqwqEd1U3aUtnQ7eM8tnCjPikoU2yUU09cMkFJjHvGEaCPj/8tXO8t55o+NENx0REWRxO60hOiNbx3kiQSkgAAoOeQ8AHQZXHRERqf4+2z092yriUby/XAhwWSpLvPGaXhvZP9Fh/Ck9lQnD4+/mP272E615FjPDsAAOhpJHwAdMv0I+jjs7umSXNfXimPIV04KUfnT8rxd3gIQ8mxURrVjz4+/lLT5NJXm/ZIIuHjDzRuBgAAPY2ED4BumdHu0+qu9PFpdXt03fyVKq9r0Yg+ybrznJGBChFhaBoX1X7zWWG5Wj2GhmQlaEBGvNXhhLypgzPkcEjF5fXaXcMONAAAEHgkfAB0y7gBqYqJdKq8rlkbS+s6/bj73t+gZZsqlRQTqccvnqDYKPqCwH9o3Ow/Zv+eE9jd4xcp8VEa1TZJjoQkAADoCSR8AHRLTGSEJg/yXlx3tqzrg7W79dQnxZKk+84fo8GZCQGLD+Fp0iBvH59NFQ3aWd1odTghy+MxtHCDOY6dhI+/0McHAAD0JBI+ALptbx+f8sPed0tFg2589RtJ0uVHD9Zpo/oEMjSEqQ59fJjW1W1rdtSovK5ZCdF7E7s4cr4+PuxAAwAAPYCED4BuM/v4fFFcKY/n4H18mlxuzZ7/tWqaWjVhQKp+e/rwngoRYWjveHYuqrvLnM51TF6moiP5VcFfJg9OV4TToS2VDdq2p8HqcAAAgM3xWxyAbhvdL0WJMZGqbnRp7c6ag97v7v+u1ertNUqLj9KjF03gAhIBRR+fI8c49sBIjInU6H708QEAAD2Dqy4A3RYZ4dSUwd6L64NdvLy1crte/HKLHA7pwR+OV9/UuJ4MEWGIPj5HpqKuWd9srZIkzSTh43e+Pj4kJAEAQICR8AFwRGYcoo9P4e5azXtjlSTpuhPydHx+Vo/GhvBEH58js7iwTIYhjeiTrN4psVaHYzu+UtiiChnGwUthAQAAjhQJHwBHxPy0ellJpVxuj+/2+uZWXfPiCjW63DomN1PXn5hnVYgIQ9Pp49NtC9d7p3OdMJwEbSBMGpiuqAiHdlQ3aUslfXwAAEDgkPABcERG9E5WanyU6lvcWr3D28fHMAz97s1V2lhap17JMXrwh+MU4XRYHCnCCY2bu6fV7dEnBW3j2CnnCoi46AiNy0mVRB8fAAAQWCR8ABwRp9OhaYP3TuuSpJeWb9Pb3+xQhNOhxy6aoMzEGCtDRBiaNCiNPj7d8M3WKlU3upQSF+VLSsD/zB1oS0j4AACAACLhA+CIzcjdm/DZUif9/p31kqTfnjZckwalWxkawlRSbJRvGhK7fDrPnM51fH6WIiP4FSFQprVr3EwfHwAAECj8NgfgiJlNSL/eUqXnCiLkchs65aheuuLYwRZHhnDmK+sqonFzZ5n9e2bRvyegJgxIU3SkU2W1zSoqq7c6HAAAYFMkfAAcsaFZicpKilFzq0eVzQ7lpMXpvvPHyuGgbw+s40v4lLDDpzN2VTdp7c4aORzScXkkfAIpNipCEwekSWI8OwAACJygTfi88847ys3NVXp6uq677jq1trZaHRKAg3A4HL6eFJEOQ4/8cKxS4qIsjgrhzuzjs7miQTuq6ONzOIvayrnG9k9VBn23Am56u/HsAAAAgRCUCZ/y8nK9+OKLeumll/TII4/oueee04MPPmh1WAAO4eKpA5STFqcfDfVoZN9kq8MBOvTx+ZJdPodl9u85YTjTuXqCL+FTXCGPhz4+AADA/4Iy4bNx40Y988wzmjx5si6++GLNmTNHCxcutDosAIcwdUiGPr7hWE3K4sIFwYM+Pp3T0urRZ4XlkhjH3lPG9k9VXFSEKupbVFBaa3U4AADAhiKtDuBApk2b1uHrfv36qaqq6oD3bW5uVnNzs+/rmpoaSZLL5ZLL5QpYjIFkxh2q8XdWuKxTCp+1sk57scM6Jw9M0VOSlhaXH3QddlhnZxxqnUuLKlTf4lZmYrTys+JC+rUIlffTIWnCgFR9XlShzwpKNTQjrkuPD5V1HinWaS+s015Yp72wztDRldgdRgjMA/3xj3+sX/7yl5owYcJ+37vjjjt055137nf7/PnzFR8f3xPhAQCCVFOrNG95hDxy6I4JrUqjNc0BvbnJqUU7nZqa5dFFuR6rwwkbH2x36L9bIjQ6zaMrhvO6AwCAw2toaNBFF12k6upqJScfupVGUO7waa+kpERpaWkHTPZI0rx583TDDTf4vq6pqVFOTo5OOeWUwy4+WLlcLn3wwQc6+eSTFRVl38a34bJOKXzWyjrtxS7rfHHnF/puW40SB4/TGeP67vd9u6zzcA61zoce+lxSvS4+YZxOH9XbmgD9JJTez75bq/Tfp5dpS1O0TjttlpzOzk82DKV1HgnWaS+s015Yp72wztBhVjV1RlAnfDwej5544gn9+c9/Puh9YmJiFBOz/0e2UVFRIfsGmuywhs4Il3VK4bNW1mkvob7O6UMz9d22Gi3bXKUfTB540PuF+jo7a991bqloUHF5vSKcDs0c0ds2r0EovJ/jB2YoMSZS1Y2tKixv1Ki2JuNdEQrr9AfWaS+s017svk6zIMbu6zSxzuDXlbiDsmmz6cEHH9QvfvELxcbGWh0KACBE+Ro3F9O4+UDM6VyTBqYpOTY0f/EJVZERTk0elCbJ20cJABBc3lu9U8fct1jPFzjV0krpLUJP0CZ8/vKXv2jYsGFqaWlRcXGxnn32WW3cuNHqsAAAIWbSwDRFOB3aUtmg7VWNVocTdBjHbi1zPPvSYhI+ABAsmlxu3f72al39zxUqrW3Wygqnfv2vVXJ7gr79LdBBUJZ0Pfzww7rxxhs73DZixAhdfvnlFkUEAAhVSbFRGtUvRd9urdKXxRU6d0J/q0MKGo0tbt/OklkkfCwxfUimJGlZSaVa3R5FRgTtZ3EAEBY2lddrzvwVWrPD2yfl7DF9tGDVDr2zerdS3lqlP/7faDkcne+5BlgpKH+rmDt3rgzD6PBn7dq1VocFAAhR04akS5K+YBdFB0uLy9Xc6lG/1DjlZSdaHU5YOqpvspJjI1XX3KrVOzrfhBEA4H///naHznrkM63ZUaO0+Cg9d9lk3X/+aP04zyOnQ3pp2Vbd+956q8MEOi0oEz4AAPgTfXwObOH6MknSrOFZfFppkQinQ1Pbzk/6+HS0tbJBt7y9VuuqODcBBFaTy615b6zS3JdWqq65VVMGpeud64/17X4dn2Ho7rOPkiQ99UmxHl9EqxGEBhI+AADbmzwonT4++zAMw9e/Z9YwyrmsNH0IfXz29UVxhc557HO98tU2/XW9k9cGQMBsLK3T9x/7XC8t2yKHQ7ruhFzNv3Kq+qTEdbjfBZP663dnDJck/fm9DfrnF5utCBfoEhI+AADbS4yJ1Oi2kddfcuEoyfsL7rY9jYqOdPoaB8Ma5uu/vKSSKTCS/vHFZl3yzJeqrG9RQnSE3IZD18z/RmspeQPgZ//6epu+98hnWr+rVpmJ0fr75VN04ynDDtpP7arjhmrOrKGSpFvfXq23v9nek+ECXUbCBwAQFvaWdZHwkfZO55o2JEPx0UE5wyFsDOuVpLT4KDW63PpuW5XV4VimpdWj3725Sre+tVqtHkNnj+2rT351nHKTDdU3u3XZc8u0tbLB6jAB2EBDS6t+9dq3uvG1b9XocmvG0Ay9M/dYHZuXddjH/uqUYfrxtIEyDOnGV7/Vx+t390DEQPeQ8AEAhIW9jZvp4yPt7d9zwrDD/3KLwHI6HXvHs4dpH5/yumZd8syXmv+lt6TiN6cN10M/HKeUuCj9bJhb+dmJKq1t1qXPLdOe+harwwUQwjbsqtXZj36u17/eJqdD+uVJ+frHz6YqOzm2U493OBy68+yROmdcX7V6DF3zzxXsHkbQIuEDAAgLk+jj41Pb5NLyTd7E10z69wSFcO7js2ZHtc559HMt21SppJhI/e3SSbpm5lBfI/H4SOmZn0xQn5RYFZfV62cvLFdji9viqAGEGsMw9MryLTrnsc+0sbRO2UkxevGKabr+pDxFOLvWHN7pdOj/nT9WJw7PVnOrR1e88JVWb68OUORA95HwAQCEhfZ9fL4I010Ups8Ky9XqMTQkM0GDMhOsDgfa28fn68171OQKn2TGgu926rwnlmh7VaMGZybozTkzdMLwXvvdr09KrF64fIqSYyO1YkuVrntppVrd9DsC0Dl1za365Svf6Df/WqUml0fH5WfpneuPPaIedlERTj128QRNHZyu2uZW/eTZZdpYWufHqIEjR8IHABA26OPj5ZvONZzdPcFiaFaispJi1Nzq0cotVVaHE3Aej6H739+gOfNX+C6+3pp9tHKzkw76mPxeSfrbZZMVHenUh+t269a318gwjB6MGkAoWrOjWmc/8pne+maHIpwO3XTaMD1/2WRlJsYc8bFjoyL0zKWTNLpfiirrW/Tjv32pbXvoNYbgQcIHABA2fH18SsI34eMdx+7t38M49uDhcDh8CUm7l3XVNrl01T++1iMfb5QkXXnsYD132WSlxEcd9rGTB6Xr4R+Ok8MhvbRsix7+aGOgwwUQogzD0D++2Kz/e3yJisvr1SclVq9cNU2zZ+bK2cUSrkNJio3SC5dP0dCsBO2sbtKP/7ZMZbXNfjs+cCRI+AAAwobZx2drZWPYfgK3dmetymqbFR8docmD06wOB+2YfXzsXHK4uaJe5z6+RB+u263oSKfuP3+sbj7zqC71zzhtVB/ddfZISdIDHxbo5WVbAhUugBBV0+TStfNX6ta3Vqul1aMTh2frnbnHatKg9IA8X3pCtP55xVT1S41TSXm9fvLsMlU3ugLyXEBXkPABAISN9n18vgzTaV2LCsolSUfnZiomMsLiaNDejLZeEiu37rFlU+LPCst19qOfq7CtWeqrP5+u8yb279axfjx9kObMGipJuvmt1fpoHWORAXh9t61KZz38mRas2qlIp0O3nDlCz1w6SWkJ0QF93j4pcfrnFVOVmRijdTtr9LPnaTAP65HwAQCElXDv4/NJQds4dvr3BJ2BGfHqkxIrl9vQ15v3WB2O3xiGoec+L9Glz3k/8R6bk6r/XHeMxuWkHtFxf3XKMP1gYn+5PYbmzF+hFVvs85oB6DrDMPTsZyU674kl2lLZoP5pcXr9mhm64tghvql/gTY4M0F/b2sw/9XmPbr6n1+rpZUG87AOCR8AQFgxJ3KEYx+fOpf0zTbv2NiZw7Isjgb7cjgc7cazl1scjX80t7r1m399pzv/s1Zuj6FzJ/TTK1dNU6/k2CM+tsPh0D3njtbMYVlqcnn0s+eXq6iMCTlAOKpqaNFV//had/13rVxuQ6eN7K0Fc4894sRydxzVN1nP/XSy4qIi9ElBmX75yjdye2gwD2uQ8AEAhJVJA9PCto/P+iqHDEMa3jtJfVLirA4HBzCtLSG5xAZ9fEprm/Sjp7/Qq19tk9Mh3XLmCN1//ljFRvmvlDAqwqnHLpqgMf1TtKfBpUufXabSmia/HR9A8FuxZY/OfPgzfbB2t6IjnLrz7JF64pIJSok7fCP4QJk4MF1P/niioiIcWrBqp25+cxVTBWEJEj4AgLCSEBOpMf3Ds4/P2irvlnbKuYKXucPnu23VqmtutTia7vtuW5XOfuRzrdhSpeTYSD330ykBK6tIiInUs5dN1qCMeG3b06jLnluu2iaapQJ25/EYeuqTIl3w5FJtr2rUwIx4vTF7hi6dMajHSrgO5fj8LD30w/FyOqSXl2/Vve+uJ+mDHkfCBwAQdsJl/HV7bo+hdW0Jn1kkfIJWTnq8+qfFye0xtHxTaCYk3/5mu85/cql21TQpNztRb197jI7PD2wJYWZijF64fIoyE6O1dmcNfTMAm6usb9HPXliue95dr1aPobPG9NF/rztGo9oGMwSLM0b30T3njpYkPbW4WI8vKrI4IoQbEj4AgLATjo2bv9tWrYZWh5JjIzXegp4G6DxzWleojWd3ewzd8+46Xf/yN2pu9eiE4dl6c/YMDc5M6JHnH5iRoGcvm6z46Ah9vrFCv379W3nomwHYzrKSSp3x0KdauKFM0ZFO/fH/RuuRH41XUqx1JVyHcuHkAbr5jBGSpPv+t0H/+GKzxREhnJDwAQCEHbOPz7Y9jdq2p9HqcHrEwrbpXMfmZioygn/+g5nZWDyUdqDVNLl0xQvL9dQnxZKk2TOH6q8/mdTjF2Bj+qfqiUsmKtLp0Nvf7NC9763v0ecHEDgej6FHPy7UD5/27iAckpWgt+ccrYumDgiKEq5DufK4Ibp2Vq4k6ba3V+vtb7ZbHBHCBb/xAQDCTvs+PstCtGymqz4p8E59mjks0+JIcDjTh3jfo9Xbq1XdGPy9aIrL6vT9xz7Xwg1lio1y6uEfjddNpw1XhNOaC7Dj87P0p/PGSJKeXlysv31WYkkcAPynrLZZlz63TP/v/QJ5DOnc8f30n2uP0Yg+yVaH1mk3npKvn0wfKMOQbnj1W320brfVISEMkPABAIQls6zry5I9Fkfif61uj6obXdpR1ajC3bX6rLBca3fWyiFDx+ZmWB0eDqN3SqwGZybIY3hLF4LZog2lOuexz1VcVq8+KbF6/eoZOntsX6vD0nkT++um04ZJku7+71r959sdFkcEoLuWbCzXGQ9/qk8LyxUb5dSffzBG918wVgkxkVaH1iUOh0N3fG+kvj+ur9weQ7NfXBFWpeWwRmj9LQEAwE+mDcnQE4uKtKykUsePsDYWj8dQfUur6pvdqmtuVX3bn7rmVtW3tKqu2a0G321u739b2t/Pe1tDi/cxTa4DN6sdkChlJMb08OrQHdOGZKikvF5Liyp08lG9rA5nP4Zh6K+fFuved9fLY3jLJJ+4ZKKykoLn/Lrm+KHaXd2kF5Zu1o2vfquMxGjNGMoONyBUuD2GHv6oUA9/XCjDkPJ7JeqxiyYor1eS1aF1m9Pp0H3nj1Vdc6s+XFeqK174SvOvnKox/VOtDg02RcIHABCWJg1MU6TToW1VTapo6tpjPR5DDS63L+HSIVHTlnTZPxHj3pvE2ef7jS53QNYYFeFQQkykEqIjlRwbqWNTqwLyPPC/GUMz9NKyLUHZx6fJ5da8N1bpzZXeHhQXTsrRXd8fqZjICIsj68jhcOi2741UWV2z3lm1Sz//+9d69erpIVUCAoSr3TVNuv7llfqi2LvL8cJJObrj7JGKiw6unzPdERXh1KMXTdBlzy3TF8WVuvTZZXrt6unKzQ7dRBaCFwkfAEBYMvv4rNhSpQ+3O+X6fJMaW40OiRgzgVO/T7KmweWWEYDhP5FOM0ET4f1vTKQSYyKVEBPR7v8P9P1IJbbdJyG67T4xER0uwF0ul9555x3/B42AMEsO1+2s0Z76FqUlRFsckdeu6ib9/B9f6dtt1YpwOnTbWUfpJ9MHBm3D1AinQ3+5YJzK65ZpWUmlLntumd6YfbT6pcZZHRqAg1hcUKZfvvKNKupbFB8doT/+32h9f3w/q8Pyq9ioCD1z6WRd9Ncv9N22al3yjDfpk5Meb3VosBkSPgCAsDVtSIZWbKnSklKnlrxX0OXHOx3qmIhpS7zER++TqInumJyJj4nw/v8+94uJdAbthTN6VlZSjPKyE1VYWqcvSyp02qg+VoekFVv26Op/fK3S2ub/396dh0VVtn8A/84wC/u+KrjgAmqgKOAWlWsuqW/ue+GWW5qVb5n9Ut8Wrd72ctdScTfNMjOXhDJRQEVTVFBcwIVVZIeBeX5/EPOCMGQJzMzh+7kuLp05Z87c99zzzBluznkO7C2VWD62I7q1NP5TpMyVZlgzIRAjVh1HfEounlsfhV3Tu8Le0jiaaERUpqRUi48PxWN5+FUAQBsPW3w1NgDeLtYGjqxuWKsV+CY0GKNWRSIhNRcT1p3Ejuld4WpjbujQSELY8CEiogZrQtemSEzLRfLtO/D2agwbCyWs1QpYqsqaMNYPHEVTfl95Q8dcyQYN1Z2uLZyQkJqL41cN3/DZdSoZb+z+A8WlWvi42WDNxEA0cTKdv0TbWSqxYVIwhi4/jiupuZi8IQabp3SGudL0Tw8hkoLbWQWYs/UMYm6UXUhhfJcmeHNgW8mPUUcrFTZN7ozhK4/jekY+Jq6LwvZpXWFnqTR0aCQRbPgQEVGD5WFngS9Gt8f+/bcwYIAflEp+wSLj0dXbCRsjbyDyquHm8Skp1WLpT5d0lzbv29YNH4/qAGsTuzoOUDbeN0wKxvAVx3Hqxj3M2XoGK8Z3Mtjl44mozC+XUvDyjrPIytfARq3A0mF+eMbf8Ff7qy/uduYIm9wZw1dG4tLdHIR+E4WwKZ1hqTK9z1kyPrwsOxEREZER6vznPD4JqblIyymq9+e/n69B6DfRumbPnF6tsHJ8J5Ns9pRr7WaDtc8FQaWQ42BcCt7aex6iLibkIqK/VFyixbs/xmHSNzHIytfAr7Ed9s15vEE1e8o1c7bCpsnBsDVX4PTNLLyw6RSKSurmgg7UsLDhQ0RERGSEHK1UuitKnajnq3UlpORgyFfH8FtCOiyUZlgxriNe7tMacgkcDRPc3BGfj+4AmQzYfPImvvzliqFDImpwkjLzMXJVJNb8VtZQDu3eDLtmdEVTJysDR2Y4bTxs8XVoMCyUZvgtIR3ztseiVMuGND0aNnyIiIiIjFTXP4/yqc/Lsx+OS8Gzy8vmk2hsb4FvZ3RDfz/DTxpdm/o95oElg9sBAD46FI8d0UkGjoio4Thw/i4Gfv4bYpOyYGuuwKoJnbBoULtKV5ZsqDo1dcDqiZ2gMpNj/x938cbuP3gUIj0SNnyIiIiIjFTXFmUNnxP1MI+PEAJfHb2CqZtikFtUgs7NHfH97O5o28i2zp/bECZ2bYaZT7UAACzY8wd+uZRi4IiIpK2opBSLv7+A6WGnkF1YgoAm9tg/NwRPt3M3dGhGJaSVCz4f0wFyGbA9Jgnv7b/Ipg/9Y2z4EBERERmp4OaOkMuAxPQ83L1fWGfPU1Bcihe3nsGHP1+GEGVXyAmb0hlO1uo6e05jMP9pHwzr6IlSrcCszWcQm5Rl6JCIJOl6eh6GrTiOb45fBwC88IQ3drzQFZ4OpnO1v/rU7zEPLBvmDwBY89s1fHWUp57SP8OGDxEREZGRsrNQol0jOwBAZGJ6nTzHrawCDF95HPvO3YFCLsO7zz6Gd/7lB6WZ9L8mymQyLBvmhydbu6BAU4pJ30QjMS3X0GERScq+c7fxzBfHcP5WNhwslVj/fCAWDGjTID5jHsXIQC+8ObANAOC/B+OxMfK6YQMik8RRRkRERGTEyk/rqovLs0dfz8SQL4/hwu1sOFqpsHlKZ4zr3LTWn8eYKc3kWD6uI/w97ZCZV4znvo5Cak7dHU1F1FAUakrxxp4/MHvLGeQWlSComQP2zw1BT183Q4dmMqaEeGNOz5YAgLf2XsB3Z24ZOCIyNWz4EBERERkxXcOnlidu3hp1E2PXnEB6bjHaeNji+9nddZeCb2is1Aqsfz4ITZ0skZRZgEnfRCO3qMTQYRGZrKtpufjXV79jy8mbkMmA2T1aYuvULvCwszB0aCZnXp/WeL5bMwDAKzvP4nAc5xujh8eGDxEREZERC2rmCDO5DEmZBUjKzH/k7WlKtXhr73ks2P0HNKUCA/088O0MzqXhbK3GxknBcLJS4fytbMwIO4XiEq2hwyIyOXvOJGPQF8dw6W4OnK1V2DgpGK8+7QMFT+H6R2QyGd56pi2GBjRGqVZg5pbTdXLEJ0kTRx0RERGREbNWK+DvWT6Pz6N9yc/MK8bEdVHYGHkDAPBq39b4cmwALFWKR45TCpo6WeHr0CBYqszwW0I6Xvv2HLRaXh2H6GEUFJdi/s6zmLf9LPKLS9HV2wn754QgpJWLoUMzeXK5DO8P90fvNm4oLtFiyoZonEvOMnRYZALY8CEiIiIycl29H/3y7JfuZmPwl8cQmZgBK5UZVk/ohNk9W0Emk9VWmJLg72mP5eM6QiGXYc+ZW3j/50uGDonI6MWn5GDwl8ew81Qy5DJgXu/WCJvSGa625oYOTTKUZnJ8OTYAXb2dkFdciufWRyEhJcfQYZGRY8OHiIiIyMhVnMdHiL9/xMmB83cxdPlxJN8rQBNHS+yZ1R1927nXdpiS8ZSPq+6SyKsiEvH179cMHBGRcRIC2HX6FgZ/eQwJqblwtVFj85QumNu7FczkbCbXNnOlGdY8F4j2nna4l6/BhHVRtXKqL0kXGz5ERERERi6wqSOUZjLcuV+IGxkP/+VeqxX49HA8poedQn5xKbq3dMLeWd3R2s2mDqOVhuGdPDH/aR8AwH/2xWHfudsGjojIuOQVlSDsihwL9lxAoUaLkFbO2D83RNegprphrVbgm9BgtHK1xt3sQoxfd5JXFiS92PAhIiIiMnIWKjMEeDkAePh5fPKKSjBz82l8ejgBABDavRk2hAbDwUpVZ3FKzcynWmBi16YQAnh5+1lOlEoNVnGJFvEpOdj/xx18fiQBc7aeQf8vjiMmXQ4zuQz/7ueDDaHBcLZWGzrUBsHBSoVNkzvD08ECNzLyMXFdFO7nawwdFhkhztBHREREZAK6tHBC1PVMRF7NwPAAjxrXTcrMx9SNMbh0NwdKMxne/ZcfRgZ51VOk0iGTybBoUDuk5RThp/N3MW1TDHZO7wpfd1tDh0ZUJ3KLSnA1NRdXUnNxJa3s36upubiRmY/SaiYwt1cJrJgYhK4tXQ0QbcPmbmeOzVM6Y/jKSFy6m4PQb6IQNqUzJ+GnSvhuICIiIjIBXb2d8PmRBBy/WvM8PpFXMzBz8yncy9fA2VqNVRM6olNTx3qMVFrM5DJ8MqoDMnKjEHU9E8+tj8Lumd3R2N7C0KER/SNCCKTnFuuaOroGT2ou7mbrPzXIRq1AC1drtHCxRktXazR3NMf9KzEIbOpQj9FTRU2drLBpcjBGrTqB0zez8MKmU1j7XCDUCjNDh0ZGgg0fIiIiIhMQ0MQeKoUc6blFuJqWV2W5EAJhJ25gyQ9xKNEK+DW2w+qJneBhx8bEozJXmmHNxECMWHUc8Sm5eG59FHZN7wp7S54eR8ZLqxW4lVWga+ZUPGrnfoH+039cbNRo+WdTp+KPq4260lX9NBoN9nM+c4PzdbfF16FBGL/2JH5LSMfcrbH4cmwAFGacvYXY8CEiIiIyCeZKM3Rq4oDIxAycvJaJin9TLy7RYtH3F7A16iYAYEiHRnh/mD/Mlfwrb22xs1Tim9BgDF1+HFdSczFlQwzCpnTma0wGV1RSiuvp+biallupuZOYnotCjbbax8hkgJeD5f8aOi7WaPHnv3aWynrOgB5VxyYOWDMxEKFfR+PAhbtYsPsPvD/MH3JeKa3BY8OHiIiIyER0a+GEyMQMnLh2D/3/nEYmPbcIM8JOIfr6PchkwGv9fPHCE96V/hJPtaORvQU2TArGiJXHEXPjHuZsPYMV4zvx8tNUL3IKNbiallepqXM1LRc39cyvAwAqMzmaO1uhpeufDZ0/mzreLlZsVkpM95bO+HxMAGZuPoWdp5Jha6HEmwPbcF/QwLHhQ0RERGQiurZwAg4BJ69l4ml/4MLtbMzaeha3sgpgo1bg8zEB6OHLyVPrko+7DdZMDMSE9VE4GJeCRd+fx9tDHuMvVVQrHnV+nYpH7LR0tYangwVP7WlA+j3mjg+Gt8erO89i3bFrsLNQYk6vVoYOiwyIDR8iIiIiE+HvaQ8LpRnu5Wvwc7IM4aeiUKjRwtvZCqsnBqKlq7WhQ2wQOns74bNRHTBzy2mEnbgJd1tzzO7JX6ro4dX1/DrUcA3v5InsAg3+sy8OHx+Kh625As93b27osMhA2PAhIiIiMhEqhRyBzRzwW0I6DiSbAdDiydYu+HxMAOwsOO9Gferv54HFg9ph0fcX8N+D8XC1NcfIQC9Dh2W00nKK8Ft8CqJSZCg4fQtqlQJymQwKuRxmchkUchnM/vxRyGWQV7hPIZdDLsffXlcug8GbIOXz6zzY1ElMy0VRCefXobox6fHmuF+gwWdHErD4hzjYWigxtKOnocMiA2DDh4iIiMiEdGvhjN8S0gEAk7s3xRsD23EOGQN5rlsz3M0uxIrwq1iw+w+4WKt5St2fhBCIT8nF4YspOHwxBbFJWRACAMywLfFCvcVRtSFUsVlUtZEkl8mgMJNVc1sOMxlgJpeXbcNMBjNZhe2a/bmuXAatEDhzWY5P4o8h6V5BjfPreLtY6Zo5LTi/DtWil3q3wv0CDb45fh3zd52DtVqBvu3cDR0W1TM2fIiIiIhMyKggL1y4lQWnwlt4vZ8Pmz0G9u+nfZCSXYjdp29h5ubT2DqtCzp42Rs6LIMoLtEi+nomDsWl4MilFCRlFlRa3tbDBvLC+3BydoUWQKlWoEQrUFrhp0QroNUKlGi1D9z+cx0hUFr6wG09DRUAKNEKQCtQXMe5VyUHkA9A//w6Xo6WHL9UZ2QyGd56pi1yCkvw7elkzN56Bt+EBqFbC2dDh0b1iA0fIiIiIhPiaKXCJyP9sX9/sqFDIZT9UvX+MH+k5xbj1/g0TPomGt/O6IbmzlaGDq1eZOUXI/xyGg5fTEHE5TTkFJXolqkUcnRv4YRebdzQq40rnC0V2L9/PwYM6AilsvZOTRKicvOnRFvWFKp4+39NI22lJtODDaUH1y3VQn/zqcJjytct1WpRXFKKtJtXMPipYPg2suf8OmQwcrkM7w/zQ06hBgfjUjB1Qww2T224TemGiA0fIiIiIqJHoDSTY8W4jhi9+gT+uHUfE9efxO4Z3eFiozZ0aHXiWnoeDseVnaoVc+NepSNsnK1V6Onril5t3BDSyhmWqv/9uqHR6J+M+FHI/jztylh+sdFoNNi/PwHdWjjVamOL6J9QmMnx+ZgATPomGsevZuD5r6Ow44WuaO1mY+jQqB4Yy+ciEREREZHJslIrsP75IAxfeRw3MvIR+k0Utk3rCmu16X/dLinV4vTNLBy5mIJDF1OQmJZXabmPmw16tXFF77Zu6OBpDzlPUyIyKuZKM6yeGIhxa0/ibFIWJqw7iV3Tu8HL0dLQoVEdM/09EBERERGREXCxUWNDaDCGrTiO87eyMSPsFNY9FwSVQm7o0P62nEINfktIx+G4FBy9nIp7+f87Okchl6GztyN6t3FD7zZu/KWRyARYqxXYEBqEkasiEZ+Si3FrT2LX9K5wtTU3dGhUh9jwISIiIiKqJc2crbD++SCMXn0CvyWk4/Vvz+Gjke1NYg6X5Hv5OHIxFYcvpuBEYgY0pf87VcvOQokePi7o1cYNT/q4wNacpyoRmRp7SxU2Te6MESsjcTMzHxPWRWH7C11gb6kydGhUR9jwISIiIiKqRe297LF8fEdM2RCD3WduwdXWHK/39zV0WFVotQLnbt0vO1UrLgWX7uZUWt7c2Qq925TNxxPY1AEKM9M7UomIKnOzNUfY5M4YvvI4Lqfk4Pmvo7F5SmeoOLwliQ0fIiIiIqJa1sPHFcuG+mH+rnNYGXEV7rZqPN+9uaHDQkFxKX6/ko7DF1Nw5FIq0nKKdMvkMqBTU4eyU7XauqGFi7UBIyWiutLEyRKbJnfGyFWRiE3KwrRNMVg1LsDQYVEdYMOHiIiIiKgOjAj0QmpOET78+TKW7IuDi405Bvp71HscqdmFOHIpFUcupuC3hHQUlWh1y6xUZnjSxwW9fN3Qw9cVjlY8tYOoIfBxt8E3oUEYt/Ykfr+SgXk7zqG/naGjotrGhg8RERERUR2Z+VQL3L1fiE0nbmDe9lg4WavQxdupTp9TCIGLd3LKjuK5mIKzyfcrLW9sb6E7VauztyPUCrM6jYeIjFNAEwesmRiI0K+jcehiKq7bymHpnYre7Tx4CqdEsOFDRERERFRHZDIZFg9uh7ScIhy4cBdTN8Zg5/Su8HW3rdXnKSopxYnETBy5mIIjF1NxK6ug0vL2Xvbo7Vt26XRfdxuTmESaiOpe95bO+GJsAGZtPo2EbDmmb4mFm+1FjOjkhVFBXrwKn4ljw4eIiIiIqA6ZyWX4dHQHTFh3EtHX7+H59dHYPbMbGtlbPNJ2M/OKcfRS2VW1fo1PQ15xqW6ZuVKOx1s6o3cbN/T0deWll4lIr6fbuWP/i92wbMdvOHNfjZTsInx59Aq+PHoFj7d0xuhgL/Rp68ajAU0QGz5ERERERHXMXGmGtRODMHzlcSSk5uK59VHYOb3r37ocshACV9PydKdqnbpxD9r/XTkdLjbqslO1fN3QvaUzLFT85YyIHk5zZysMaabFF32fRHhCJrZF38SxK+m6H0crFYYGNMboYC+0dLUxdLj0kNjwISIiIiKqB3aWSmyYFIyhy8uaPlM3xmDT5M6oqS1TUqpF9PV7OHIxBYcvpuB6Rn6l5W08bNHnz/l4/BrbQS7nqVpE9M+pFHIM9PfAQH8PJGXmY0dMEnbEJCEluwhrj13D2mPXENTMAaOCmmCgnwcby0aODR8iIiIionrSyN4CGyYFY/jK44i+fg9zt53BZyP9K61zv0CDiPg0HLmYgqOXUpFdWKJbpjSToWsLZ/Ru44qevq7wdOD8GkRUN7wcLfFKXx/M7dUKEfFp2BqVhKOXUxF9/R6ir9/Dkh8u4F8dGmNUkBcea8xLfBkjNnyIiIiIiOqRj7sN1kwMxMR1Ufj5Qgre/vESvDXAN5E3cPRyOqKuZaKkwrlaDpZK9PB1RZ82bghp7QJrNb/CE1H9UZjJ0auNG3q1cUNKdiF2nUrGtuibSMoswKYTN7DpxA34NbbD6GAvDG7fCDbmSkOHTH/i3oKIiIiIqJ518XbCp6M7YNaW09gclQRAAZy5rFvewsUKvdu6oXcbN3Rs4gAznqpFREbAzdYcs3q0xIwnWyAyMQNbo27i4IUU/HHrPv7Ycx/v7LuIZ/w9MDq4CTo2secVAQ2MDR8iIiIiIgMY4OeBRc+0xeIf4iCHQFBzR/Rp645ebdzQ3NnK0OEREekll8vQvaUzurd0RmZeMXafTsa26CRcSc3FzlPJ2HkqGa3drDEqqAmGBjSGg9XDT1BPtYcNHyIiIiIiA3m+e3N0be6AU8cjMGJIEJRKngpBRKbF0UqFKSHemPx4c5y6cQ/bopOw79xtxKfk4u19cXj/p0t4+jF3jAnyQhdvJ04uX4/Y8CEiIiIiMiBvFytcYp+HiEycTCZDYDNHBDZzxFuD2mJv7G1si7qJC7ez8cPZ2/jh7G00dbLEyEAvjOjkCVdbc0OHLHls+BARERERERFRrbE1V2JCl6aY0KUp/ki+j23RN7E39jZuZOTjw58v4+ND8ejl64rRwV54srUr5ymrI2z4EBEREREREVGd8PO0g5+nHxYObIN95+5ge3QSTt24h4NxKTgYlwIPO3OMCPTCyEBPeDpYGjpcSWHDh4iIiIiIiIjqlKVKgZGBXhgZ6IX4lBxsi0rC7jPJuHO/EJ8fScAXvyQgpJULxgR5oVcbN6gUckOHbPLY8CEiIiIiIiKietPazQZvDWqL1/r74OcLKdgWdRPHr2bg1/g0/BqfBmdrFYZ19MSoIC94u1gbOlyTxYYPEREREREREdU7tcIMg9s3wuD2jXAjIw/bo5Ow81Qy0nKKsOrXRKz6NRHBzR0xJtgL/R/zgLnSzNAhmxQ2fIiIiIiIiIjIoJo6WeHf/Xwxr09rHL2Uim3RSQi/nIqoa5mIupaJRXsv4NmAxhgd3ARtPGwNHa5JYMOHiIiIiIiIiIyC0kyOvu3c0bedO+7cL8DOmGRsj07CrawCbIi8gQ2RN9Deyx6jg7wwqH0jWKvZ1tCHrwwRERERERERGR0POwvM6dUKs3q0xLEr6dgefRMHL6TgbFIWziZl4e19cRjcvhFGBXmhg5c9ZDJe3r0iNnyIiIiIiIiIyGiZyWV4srULnmztgvTcInx7quyon8T0PGyLTsK26CT4uttgdJAX/hXQGPaWKkOHbBSMtuGTl5eH+fPnw87ODnl5efjwww+hVqsNHRYRERERERERGYiztRovPNkC057wRtS1TGyLTsL+P+7g0t0cLP4hDu/9dAkDHnPH6OAm6NzcsUEf9WO0F7afMWMG+vTpg6VLlyIwMBALFiwwdEhEREREREREZARkMhk6ezvhk1EdEPVGbywZ3A6+7jYoLtHiu9jbGL36BHp+FIGVEVeRllNk6HANwigbPrdv38bOnTvRv39/AED//v2xcuVK5OTkGDgyIiIiIiIiIjImdpZKPNetGX6aG4K9s7pjTLAXrFRmuJaeh2U/XULXpUcwfdMp/JqQDq0wdLT1xyhP6QoPD4ezszPMzc0BAC4uLlCr1YiKikKvXr0qrVtUVISiov9167KzswEAGo0GGo2m/oKuReVxm2r8D6uh5Ak0nFyZp7QwT2lhntLCPKWFeUoL85QW5ml62rpb4T+D2uC1vq2w//xdbI+5hbPJ93Hgwl0cuHAXjmozPP5kAeytDR3pP/N3aiQTQhhdf+vDDz9EWFgYzp49q7vPy8sL7733HiZMmFBp3cWLF2PJkiVVtrFlyxZYWlrWeaxEREREREREZLxu5wGRqXJEp8nQ2ErgxXZaQ4f0j+Xn52Ps2LG4f/8+bG1ta1zXKI/wkclkuqN7yhUXF0OpVFZZd8GCBXj55Zd1t7Ozs+Hl5YW+ffv+ZfLGSqPR4NChQ+jTp0+1OUtFQ8kTaDi5Mk9pYZ7SwjylhXlKC/OUFuYpLcxTOqYAyMkvxHcHfjHpPMvPanoYRtnwadSoEe7fv1/pvtzcXDRq1KjKumq1utqrdymVSpMtYDkp5PAwGkqeQMPJlXlKC/OUFuYpLcxTWpintDBPaWGe0mBjCTiZm3aefyduo5y0uUePHkhOTkZxcTGAskmcASA4ONiQYRERERERERERmQSjbPh4eHigX79+iIiIAAAcPHgQM2fOrHKaFxERERERERERVWWUp3QBwMqVK/H666/j5MmTyMzMxLJlywwdEhERERERERGRSTDaho+zszPWrl1r6DCIiIiIiIiIiEyOUZ7SRURERERERERE/xwbPkREREREREREEsOGDxERERERERGRxLDhQ0REREREREQkMWz4EBERERERERFJDBs+REREREREREQSw4YPEREREREREZHEsOFDRERERERERCQxbPgQEREREREREUkMGz5ERERERERERBLDhg8RERERERERkcSw4UNEREREREREJDFs+BARERERERERSQwbPkREREREREREEsOGDxERERERERGRxLDhQ0REREREREQkMQpDB1DbhBAAgOzsbANH8s9pNBrk5+cjOzsbSqXS0OHUmYaSJ9BwcmWe0sI8pYV5SgvzlBbmKS3MU1qYp7RIIc/yXkd576Mmkmv45OTkAAC8vLwMHAkRERERERERUe3LycmBnZ1djevIxMO0hUyIVqvF7du3YWNjA5lMZuhw/pHs7Gx4eXkhKSkJtra2hg6nzjSUPIGGkyvzlBbmKS3MU1qYp7QwT2lhntLCPKVFCnkKIZCTk4NGjRpBLq95lh7JHeEjl8vh6elp6DBqha2trcm+Cf+OhpIn0HByZZ7SwjylhXlKC/OUFuYpLcxTWpintJh6nn91ZE85TtpMRERERERERCQxbPgQEREREREREUkMGz5GSK1WY9GiRVCr1YYOpU41lDyBhpMr85QW5iktzFNamKe0ME9pYZ7SwjylpaHkWU5ykzYTERERERERETV0PMKHiIiIiIiIiEhi2PAhIiIiIiIiIpIYNnyIiIiIiIiIiCSGDR8iIiIiIiIiIolhw4eIiIiIiIiISGLY8KkjxcXFaN++PcLDw3X3HT58GJ07d8b169crrZuXl4eZM2diwYIFmDNnDoqKiuo32EfwYJ7Hjx9HmzZtYG9vj7lz51ZZ/91334VMJoNMJkP79u3rOdpHU11NgbKcP/roI3z33XfIyMgAYLo1fTDHixcvYtasWfjkk08wc+ZMxMbGVlrfVOupL26pjdHq8pTiGK0pZimNz+rylOoYra5uUhufQPV5Avr3N1KpZ03vW1OsZ58+fXR1Kf/58ccf/zKXqVOn6tYfPHiwgaJ/ePryrGm/IqV6lpPKfqWmcSilz9u/2k9KpZ4RERGYPHky3nrrLcyaNQsFBQUAgJSUFEybNg3//ve/sXDhQlS8QPfly5cxdepUvPLKK/joo48MFfrfoi/PcpmZmWjcuHGl925Nr0GDIKhOvPPOO8LW1lYcPXpUCCFEamqq2LNnjwAgrl27VmndCRMmiN27dwshhNiwYYOYN29ePUf7z1XMMycnR7zzzjsiIyND7Nu3TygUCnHo0CHduoWFhWLatGni0KFD4tChQyI+Pt6Akf99D9ZUCCHWrFkj3njjjSrrmmpNH8yxU6dOIjk5WQghxI0bN4Svr69uXVOtp764pTZGq8tTimO0ppilND715SnFMVpd3aQ2PoXQ//4Uovr9jZTqWdP71tTqmZSUJGbMmCEiIiJEZGSkiIyMFP7+/qKgoKDGXO7cuSPmzJmjq+fNmzcNlcJD0ZfnX+1XpFRPIaS1X9E3DqX2eVvT541U6pmeni6aN28u8vLyhBBCfPrpp2Lu3LlCCCFCQkLE6dOnhRBCLFmyRHz22WdCCCGKiopE27Ztxe3bt4UQQoSGhoq9e/fWf/B/Q015lnv55ZervHf1vQYNBRs+deD3338X69atE02bNq30Za20tLTKG/DWrVvC3NxctyNJTU0VFhYWIjs7u56j/vsezLOgoEBotVrd8qCgIPHLL7/obq9evVosW7ZMN0hNSXU1PXr0qOjdu3elnIUw3ZpWl6OlpaW4ePGiEKIsDw8PD936plrPmuKW0hitLk8pjlF9MUttfOrLU2pjVF/dhJDW+KwpT33fIaRUT33vW1OsZ1JSUqXbycnJYvjw4X+ZyxtvvCHCwsJEcXFxvcf8T+jLs6b9ipTqKYT09is17T+k9HmrL08p1XPNmjUiMDBQd/vq1atCpVKJY8eOCS8vL939UVFRwtPTU2i1WrF161YREhKiW7Zjxw7RvXv3eo3779KXZ25urhBCiO3bt4uff/650ns3MjJS72vQUPCUrlqWl5eHnTt3YtKkSVWWyeVVX+7w8HA4OzvD3NwcAODi4gK1Wo2oqCisX78evr6+CA8PR0hICFxcXBAZGYmioiK8//778PLywvnz5xESEgI3NzccO3YMa9euRdOmTdGpUydkZWXVa57m5uaQyWS65X5+fnjqqad0y7du3YqFCxfC3d0dmzZt0t3/3XffISgoCLt378agQYNgb2+PPXv2AABWrFgBHx8fHDt2DAMHDoSDgwN27dqFffv2wcfHBy1btqxyuGl95AoAL7/8Mtq0aYMXX3wR/fv3R2RkJADTrKm+HIcPH44pU6YgJycHYWFh+OKLL3TLTLWe+uIGpDVGq8tTimNUX8xSGp815Sm1MaqvboC0xqe+PGv6DiGleup735piPT09PSvd3rt3L4YMGVJjLhqNBnv27MGECRPg6emJgwcP6h5vannWtF+RUj0B6e1Xatp/SOnzVl+eUqpndnY2bt26pbvt5eWF4uJihIeHo2nTprr7W7dujeTkZCQmJuKXX36psuzkyZO4f/8+lixZgsDAQBw8eBAtWrSAn58fMjMzcevWLbz44ot45plnsGvXLrRu3Rr+/v64e/cuXnzxRTg5OeH555+vkxxryjM+Ph63b99GXFwc+vbtW+kx1eWZnJyM+Ph4fPrpp/Dy8sKZM2fQvn17NG3aFFevXkVWVhYWLlyIwMBAREREoEOHDmjevDkuX76Mt99+Gx4eHujbty9KSkrqLNdaZeiOk9T83//9n0hJSRFCiCp/nRNCVOmWf/DBB8Lf37/SOp6enmLjxo0iNTVVABDLli0ThYWFYubMmWL06NGitLRURERECABi//79QqvViunTp4uAgABx8uRJUVJSIjp06CBWrFhhkDx///13ERISIkaOHFnlL5FZWVli0aJFQiaTiX379gkhyg4pdHBwEC+++KLIyckRH3zwgejSpYsQQohr164JAGLVqlVCo9GIZcuWiWbNmomDBw8KIYQYNGiQeO211+osT325Xrp0SchkMnHu3DkhRFkdbWxsRGpqqknWVF89c3JyxFNPPSV8fHzE6tWrqzzOFOupL+5yUhmjNeUptTH6YMxSG5/68hRCWmO0prqVk8L4rCnPv/oOIZV66nvfmmI9HzRw4EBx7969GnMpd/fuXTF9+nShUChEbGysEEKYXJ7lqtuvSKmeUtyv/NX+Qwqft/rylFo9Y2NjhVwuF1u3bhVCCHHs2DEBQPTr108MHjxYt15JSYkAIH799VcxYMAAMWfOHN2yK1euCADi5s2bYvfu3cLBwUHs3btXaDQa4e/vL1auXCmKiorEu+++K3x8fERMTIwoLi4Wfn5+Yvjw4eL27dvizp07QqlU6o6oqq88Y2JixLx580R+fr4QovJ7d+bMmdW+BuHh4SImJkYAEJs3bxYajUYMGDBAvP7660Kj0YiwsDDh5OQkwsPDhVarFf369RM9evQQly5dErm5ucLd3V389NNPdZJnbeMRPrXowIEDCAwMhKur60M/RiaT6TrI5YqLi6FUKuHs7AwAGDVqFNRqNQICApCSkgK5XA4vLy8AQP/+/SGTyRAYGAhbW1sEBwfDzMwMfn5+SE1Nrb3kKvirPL29vREaGoojR47g1VdfrbTMzs4OixcvxptvvonPPvsMAKBSqWBjY4OhQ4fC2tpalycAXUe2b9++UCgUCAwMhBACffr0AQB06NChzvIE9Od64cIFODo6ws/PDwAwe/ZsaLVa7Nmzx+RqWlM9CwsLMW7cOIwdOxYvvfQSDh8+XGm5qdWzprj1MbV6VqQvTymN0epiltL4rClPQFpjtKa66WOK9dSX59atW//yO4RU6qnvfWuK9azo/v37AAB7e/sacynn5uaGFStWYMyYMfjqq68AwOTyLFfdfkVK9ZTifuWv9h8PklKeUqtn+/btsXXrVnz11VeYPn06tm3bBoVCgRYtWlTKpbi4GACgVCqr5Flxmb29PWxtbTF48GAoFAr4+fkhJSUFKpUKHh4ecHd3R6dOnaBUKtG+fXu0a9dOd7+7u3u95xkREYFx48bBwsKiymP05alWq+Ho6AgAGDt2LBQKha6eCoUCjRo1grW1NZ588kldPZs0aQIfHx9YWVmhVatW9fI5VBsUhg5ASj766COcOXNGd/vevXsYMmQIFi5ciH//+9/VPqZRo0a6HUq53NxcNGrUSHeIbDmFQgGtVgsAVZaZmZlVui2Xy3Xr1ra/ytPd3R2hoaGQyWT48MMPq93GrFmzsHPnTt3tivkYS55AzbmWlpbq7rewsECrVq2QkZGBpk2bmlRNa8rxl19+wbZt23RfXseMGYPr16/Dysqq0jZMpZ4PejDu6pjiGH3Qg3lKaYxWVB5zSUmJZMZndSrWZvz48ZIZozXVTR9THJ/68nzllVdgZ2enu7+m7xCmXk9971tTrGdF+/fvx4ABAwDU/N580KxZs7B48WIAVXMx9jzLVbdfkVI9pbhfedj9RzlTrWd1ef73v/+VXD1HjhyJkSNH6v4/YMAANGrUCFeuXNGtk5OTA6Cslg/WMycnByqVCk5OTiaX56pVq/Dee+9VWq9jx45Yvnx5ja/Bg3EaU561iUf41KItW7YgNjZW99OoUSOsXbsW06dP1/uYHj16IDk5WddtvH37NgAgODi4XmL+Jx42z8DAQDRu3LjabcjlcnTs2LE+wn0k+nLt168fsrKykJ6erltXoVCgXbt2JldTfTmOHj0aZ8+e1f0F780334StrS0uXrxYZRumUs8HPUzcplbP6ujLUwpjtKLymP39/SUzPqtTnmd6erqkxmhNddPHFOupL8+1a9c+9HcIU65n48aN9b5vTbGeFX3//ff417/+BeDvvTdNoZ4VVczzQRX3K1Kqp9T2K39n/1FOSnm2aNFCUvWs6Pz589i/fz+WLl2KXr16ISEhQbfsypUr8Pb2RpMmTapd9vjjj1c6CtGYVcwzIiKi0v4TKGvYDh48uMbXoKFgw6cWubi4wNPTU/djZmYGFxcX2NraAgCEEJX+BQAPDw/069cPERERAICDBw9i5syZMDc313UNK67/4DYqLntQTcsehb48VSoVTp06pVtv//79mDt3LoCyD9ywsDCUlpZCCIFPPvkE77zzjm5drVZrdHkC+nP19/dH//79sWvXLgBAVlYWSkpKMHDgQJOrqb4cPT09YW5uXmlyNCcnJ7Ru3dpk6/lXcUtljOrLs7CwUFJjVF/Mvr6+khmfNeXp6OgoqTFaU930xWaK9dSX5/jx4/V+h5BSPceNG6f3fWuK9SxXXFyMjIwM3RE8NeVy7do17N69GwCg0WiwceNGzJ8/HwBMLs+a9itSqqfU9is17T/0xSalPKX0Pb6irKwsTJ48GRs3bkTbtm3RuXNnODg46BoeBw8exMsvvwwAGDJkCJKSkpCdnV1l2YP7lIqxi7KrfNcYR33n6e7uXmn/CZQddWhpaVnja/BX9TR0nrWm6rQ+VFsenPx2+fLlAoBYtGiRSEtL062XlpYmJk+eLN5++20xb948UVRUJIQou/QcAPH222+L69evizFjxghnZ2dx4sQJsXjxYgFArF69Wty6dUsMGzZMuLq6il9//VXExMQIHx8f8fjjj4urV6/WW56xsbHC1dVVdOvWTbz66qtix44dunUSExOFt7e38PX1FVOnThXnz5/XLfvpp5+EQqEQs2bNEtevXxcvvfSSUKlU4qeffhJr167VvQa3bt0SM2fOFGq1Wuzdu1dcvnxZdO/eXfj4+OgmXauvXIUoq9vYsWPFxx9/LObNmyfi4uJ065lyTSvmGBsbK6ZNmyZWrVol/vOf/4jw8HAhhOnWs6a4pTRG9eUptTFaU8xSGp815Sm1MaqvblIanzXlWVHFz2Kp1VPf+7b8MaZWTyHK6rB06dIq+VeXy4kTJ4S7u7vo1KmTmD17trh586buMaaWZ037lZpeA1PLszwXqexXhNA/DqX2easvTynV886dO2LTpk3ipZdeEqdPn6607MqVK2LSpEli8eLFYtGiRZUuRx4VFSWmTZsmFi5cKD7//HMhRFn9p0+fLlQqldi3b584f/68eOyxx8QTTzwhTp48KYYOHSpcXFzE77//LmJjY4Wvr6948sknRXx8vPj222+FSqUSL7zwQp1cxr6mPCsCKk84Xt1roNFoxKJFiwQAsWbNGpGYmCh69uwpfH19RWxsrJgxY4ZQqVTihx9+EAkJCSIkJES0bdtWnDlzRhw9elS4uLiIZ599Vty9e7fW86xtMiFMpTVFREREREREREQPg6d0ERERERERERFJDBs+REREREREREQSw4YPEREREREREZHEsOFDRERERERERCQxbPgQEREREREREUkMGz5ERERERERERBLDhg8RERERERERkcSw4UNEREREREREJDFs+BAREVGDlpubi7fffhtBQUH18nyHDx9Gt27dEB4e/tCPKS0txenTp2vl+TUaDc6fP18r2yIiIiLjxYYPERERGVxYWBgsLS3x2GOPIS4uDnFxcejSpQtkMhk++eQTlJaWAgB+/PFHODs7Y/Xq1bX23Gq1Gk2aNEFaWlqtbbMmTZo0wblz5x56fY1Gg/feew8tWrSoledXKpW4c+cOtm/fXivbIyIiIuPEhg8REREZ3Pjx4zFq1CjY29ujbdu2aNu2LT799FMAQO/evWFmZgYA6N+/P4YMGYJp06bV2nMrlUo0adKk1rZXndTUVF2DpXXr1nB0dHzoxy5YsAAjR46EnZ1drcXTp08fREZG4syZM7W2TSIiIjIubPgQERGRURg1ahROnDiB1NRUAECXLl3g5eWFffv26daJjIxEjx49av25ZTJZrW+zXFFRESZOnIiCggLdfXL5w30FS0hIQGxsLHx8fGo9rrlz52L+/Pm1vl0iIiIyDmz4EBERkVHo3bs37OzssGfPHgBAYWEhcnNzsWvXLt06+/btw+DBg1FSUoLZs2fj/fffxzPPPIOPP/4YAPDtt9/CwsICI0eORF5eHoqLizFlyhT83//9HwAgPj4eb775JkJDQ9GvXz9dc+lB1a139uxZDBs2DEuWLMErr7wCe3t7vPbaa7rHXL58GQsWLMDy5cvRtm1b9OzZE2+++SZ++OEHxMXFYefOnbqjlgAgIyMDzzzzDOzt7fHDDz9UG8fatWvx+OOP625/9913CAoKwu7duzFo0CDY29vrXq8VK1bAx8cHx44dw8CBA+Hg4IBdu3Zh37598PHxQcuWLXH9+nXdtpo3b47Lly8jPj7+b1SJiIiITAUbPkRERGQUFAoFnn32WV2D5+DBg5g9ezZOnz6NxMREAEB2djZsbW1x4MABxMXF4bXXXsOiRYuwaNEiAMCwYcMQGhoKKysrWFlZQaVSoXHjxliyZAlKSkowf/58LF68GF9//TVUKhUWLFhQJQ5967Vr1w4lJSWIiIjAiy++iEOHDuGjjz5CXl4eACA0NBTDhg3DzJkz0bNnT8hkMrzzzjsYPnw4vL29MWLECLz00ku65zlx4gR27dqF119/HR9++GG1r8mhQ4fQsmVL3e0BAwbg6tWrCA8Px9atW7Fw4UJ88MEHAMpOd4uPj0dcXBz27t2L119/HfPnz4darcbly5fRtm1brFy5stL2W7ZsiYMHD/7DihEREZExY8OHiIiIjMaIESMQHh6OzMxMHD58GAsXLkTz5s2xY8cOREdHIzAwEAAQEhKC//73v8jPz0dkZCRyc3N125gyZQp27dqFvLw85OXlwcrKCnK5HFFRUUhOTsaXX36JTz/9FI0bN4Zara4Sg771FAoF7O3t8cQTT6BZs2YICAhAaWkpMjIyAACxsbGwsLAAALRp0wbp6ek15jpw4ECYm5sjMDAQd+7cqXadK1euwMHBQXdbpVLBxsYGQ4cOhbW1NQICApCSkgIAaNq0KQCgb9++UCgUCAwMhBACffr0AQB06NChyhFNLi4uSEhIqDFOIiIiMk0KQwdAREREVK5Xr16ws7PDzp07IYSAWq3GiBEjsHPnTuTl5WHevHkAADs7O5w8eRIRERF44oknKm2jY8eOaNmyJXbs2AGFQoFhw4YBAJKSkuDs7FzpKJvq1LRexbl+FIqyr1FarRYA0LNnTxw5cgTt2rVDYmIihg4d+lA5KxQKlJSUVLussLAQSqWyxhjKn//BeYjKJ7ouJ5fLdeuWU6vVyM7Ofqg4iYiIyLTwCB8iIiIyGuWndb311lvo3bs3AGDkyJE4ffo0rl+/rru61fr163HixAnMmzcPTk5OVbYzefJkrF+/HomJibrLmXt4eODYsWO6I2KAsqN5HvSw6z3ok08+QWxsLMLCwtCuXTvdvEEPQwhR7f1OTk66U8bqQmFhYaUjiIiIiEg62PAhIiIiozJy5EgUFBTg6aefBgB06tQJLVq0qHQkz5kzZ5CRkYGSkhIcOXIEQNnpT8XFxQCAcePGISYmBs2bN9c9pkuXLnBzc8OAAQPw448/IiwsDNHR0QDKGi7lTZea1tNqtVWaM+W3586di/HjxyMgIADdu3ev1KhRqVS4d+8eLl++XOkxD27jQe3bt69yuteDMZT//8F/q/Pgsjt37sDf31/v+kRERGS62PAhIiIio9KzZ0+EhobC3Nxcd9+YMWPw7LPP6m4/99xzOHXqFIKDg+Ht7Q1XV1ds2rQJKpUKAODg4IAJEyZUOq1KpVJh7969MDMzw7hx4xAREYGpU6ciPz8fO3fuxJ07d/D999/rXS8uLg4nTpxAeHg4EhMTsXHjRgBAWFgYNBoNPDw8MGrUKAQEBMDX1xeOjo66dUaNGoWlS5fi999/x969e3H37l18++23uHHjhu72oUOHqrwWzzzzDC5evKi7feDAAdy5c6fKYw8cOID169cDADZv3ozbt29j586duHv3Lr7//nvEx8fj8OHDOHnyJP744w8AZc2fq1evYsCAAbVVOiIiIjIiMlHTn4GIiIiI6C9lZWXh3Xff1V1tSwiB9PR0LFu2DB999NE/3m5eXh769euHX3/9tcocPY8qJiYGK1euxNq1a2t1u0RERGQceIQPERER0SNat24d4uLidPP+yGQyREZG4qmnnnqk7VpZWeHVV1/Fli1baiHKyjZv3oylS5fW+naJiIjIOLDhQ0RERPSIJk6cCDc3N3To0AGNGzdGSEgISkpKMGjQoEfe9pAhQ6BUKnHy5MlaiLTMli1bMHXqVLi4uNTaNomIiMi48JQuIiIiIhOQm5sLa2vrR95OaWkpiouLYWFhUQtRERERkbFiw4eIiIiIiIiISGJ4ShcRERERERERkcSw4UNEREREREREJDFs+BARERERERERSQwbPkREREREREREEsOGDxERERERERGRxLDhQ0REREREREQkMWz4EBERERERERFJzP8D2UmQZToi2U4AAAAASUVORK5CYII=", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "mean = df.groupby('Label').mean().T\n", + "labels = mean.columns[1:]\n", + "ax = mean.plot(kind='line', figsize=(14, 7))\n", + "ax.set_xticks(range(18))\n", + "ax.set_xticklabels(df.columns[:-1])\n", + "plt.title(\"Rata-rata distribusi data spektroskopi per kelas\")\n", + "plt.grid(visible=True)\n", + "plt.ylabel(\"Intensity\")\n", + "plt.xlabel(\"Wavelength (nm)\")\n", + "plt.show()\n", + "\n", + "for label in labels:\n", + " temp = mean[label]\n", + " ax = temp.plot(kind='line', figsize=(14, 7))\n", + " ax.set_xticks(range(18))\n", + " ax.set_xticklabels(df.columns[:-1])\n", + " plt.title(f\"Rata-rata distribusi data spektroskopi kelas {label}\")\n", + " plt.ylabel(\"Intensity\")\n", + " plt.xlabel(\"Wavelength (nm)\")\n", + " plt.grid(visible=True)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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CcQaOtFVNjvC7hM+9994rV6+adpK6fv263HvvvVa3j4yMlMjISIv7IyIiAvYDFBHJnTu3ii8nprh8LNVKFVLxn/9c9bv3JtA/L0dxnMGF4wwuHGdw4TiDC8cZXDjO4MJxBheO0/85M26ft2U39+CDD8qpU6fk9u3bIpJaxFlEpE4d/5iR4l2eWW1Hpy4AAAAAAIKbzxM+aSWE0v5fqFAhad26taxdu1ZERJYtWyZ9+vSxWOaVGUSEkJgBAAAAAADO82nC5/r16/Lpp5+KiMjs2bMlISFBREQ+/fRTmTt3rrz99tuya9cueeedd3w5TJ95rJie8Okb/6fL+wsLcXkXAAAAAAAgAPi0hk+OHDmkd+/e0rt3b5P7Y2JiZMaMGT4alf9oWEhk3vHU+Nc951zeX/G8UXIkIVFEUit7B3IXMwAAAAAAYJvPl3TBMXfuur6Pd5+orOI+3+52fYcAAAAAAMAvkfDxc+5chVWrRIyKNx295MY9AwAAAAAAf0LCx8+VyZ9dxXtOJrhtv0l06gIAAAAAIGiR8PFz83tUV/Hzs//y4UgAAAAAAECgIOHj54yFlS/eSHZ5f3zgAAAAAAAEP67/M5miebOpODEx0YcjAQAAAAAAnkLCJwBkDXffxzSpQxUV9527x237BQAAAAAA/oOETwAY1KKMigfO3e7SvoydutYfoVMXAAAAAADBiIRPAHixcWkV/7zzjNv2m3Tnrtv2BQAAAAAA/AcJnwBDjgYAAAAAAKSHhE8mxIcOAAAAAEBw49o/QJSK0duzHzh/xaV9FclDpy4AAAAAAIIZCZ8AMffFuiruOnObS/ua8FhlFQ9auM+lfQEAAAAAAP9DwidAxOTWZ/icu5bk0r4alMmn4tX7L7q0LwAAAAAA4H9I+GRyt6gCDQAAAABA0CHhE0Aiw0J8PQQAAAAAABAASPj4qUMXrsnvZ0zv6/lASRWP+mm3S/sndQQAAAAAQPAi4eOHig9bLG0++kO+PxFmcv+gVuVVPGfzSZdeo0h0VhXTqcuz6ryzQsqMXCb9N/HjBgAAAADwDq5AA5SrpXdGP3Kfiof++LeLo4E9F/5LK7LNvCoAAAAAgHeQ8PFDtYtFq/j7P//xyGs0rVhQxSv+vuCR14D57KkQGbNor8/GAgAAAADIPEj4+KHZXav/PwqRUb/sN3msWN5sKj6Z4J6lWDeT6dTlKc3iNprc/nbbaR+NBAAAAACQmZDw8UNRUVEqvnVHM3ns6+frqfiZGZu8NiZkzNmrSSa3XV2KBwAAAACAI0j4BJjYGD0Z9M+VWy7ti4oyAAAAAAAEJxI+fqpW0Vwqjv/jmEdeo2DuSBXTqcv9RizcqeI8UXrHtdkbjvhiOAAAAACATISEj5+a2aWKiKQu5xptVscnS5h75ua81baCiof/TKcud/tmyykVbx7eTNI+z3FLDvhoRAAAAACAzIKEj58y1vFJMiv88my9WBW/u2Rfhl+jdeXCKl6+l05d7qbZuD8pxdYjAAAAAAC4Bwkfv2Y9MTCyXSUVz9xw3C2vlEinLrfaczJBxfdERfw/ItEDAAAAAPAOEj5+rER2PQljq47PbWaL+KVOn29V8U99GomISJFs+ue5at85r48JAAAAAJB5kPDxYz1L67F5HR93oVOXZxhnTKV1Vnu5rP54v+92eHlEAAAAAIDMhISPHzOU8bGo41M4OquKE65mvMNWgVx06vIk4w+Y8fO8fjvF62MBAAAAAGQeJHwC1BfP11Rxx8/+yPB+Xn+ovIpHLTnk0piQ6ompG1Tcv3kpH44EAAAAAJBZkfDxc7WK5lKxsY5PuQLRKj526WaG9/9I9SIq/mXnmQzvB7o/T15Rcf/m5U0eKxytz6g6cP6KAAAAAADgCSR8/NzMLlVU7Kk6Pmno1OV5C16qreIun23x4UgAAAAAAMGMhI+fizIUfjGv4xPOp+d3jLOwSueLsng8Jod+38UbyV4ZEwAAAAAg8yFlEABsddJ6qpa+HCtuRcZn/9Cpy33e/Hmfin/uXdeHIwEAAAAAZGYkfAJAnRLRKjbOIHn78aoqnrrmmGRUvhyR6W8EhxgnYRlnZxnliYpQsSsd1gAAAAAAsIWETwCY+1JDFduq42O+3MsZIx7WCwuPWLgzw/vJ7Ixt7SPtrLf7qlsNFbvSYQ0AAAAAAFtI+AQYVxI7thg7df2w46zb959ZNP1go4q/7FrL5naVYmNU7EqHNQAAAAAAbCHhEyBs1dnJn1NfjuWO5UE3bqe4vI/M6ty1JBU3KJPPhyMBAAAAAGR2JHwChK06Pl+/oM8keWrGZm8OCS6IitB/9IxLwQAAAAAAcAcSPgHCVh2fcgWiVXz4YsYTB3Tqcs2QBXrto4cqFUh3+wmPV1bxs7O2e2RMAAAAAIDMi4RPAPJEHZ+Y7BHpbwSb5m87peJpXWzX70ljrJv018krnhgSAAAAACATI+ETQGzNwrHTEMphA1qUUfGon3a7vsNMRvPRcwEAAAAAsIaETwCxVcfn4SoFVfz52sMZ2nfneiVUvODP0xnaR2a152SCivNEOT5TKksYC+kAAAAAAJ5BwieA2KrjE/dUTRVPXnHI5de5Tqcup3T6fKuKl/Vv5PDzBjQrreK+8X+6dUwAAAAAgMyNhE+AslXH52ay++v7wL5Ew3sekzvK4ef1blpWxYt3nXPrmAAAAAAAmRsJnwDjyUVALDByjSsrtEjTAQAAAADciYRPgLFVxyevoctWYmLG2rPnoVOX0x75aJ2KBxsKXzsqjJ9AAAAAAIAHcLkZYEzq+Cz6W8XTu9RQcYfpWyUj+jUtpeKxi/ZkaB+Zza7T11RsXKLlqPZV71Xxu0v2uWVMAAAAAACQ8AlgSSl6Q+9aJWJU/Pf56xnaX9eGesJn3rZTGR8YHDb5yeoq/nz9MTtbAgAAAADgOBI+ASi9UjFaOo874r8kOnWlZ/aGIyouXyCHy/uzUYcbAAAAAACnkfAJQLbq+FAPxrvGLt6v4oUv1c7wfiiWDQAAAABwN1IEAchWHZ+WFQuo2JgIgmcYZ+RERTnejt1c/ZJ5VMznBgAAAABwBxI+Ac5Yx2dal1oqftsw+8QZeaLo1OWIhKt6J7Ss4a79GMX3rK/iMb9k7HMDAAAAAMCIhE+ASm8ZUGJyxgrC9G+mF26e9BvJB1vafLRRxV90rWVnS+fcopAPAAAAAMANSPgEKFt1fFxl7NQ1e+Nxt+032Fy4nqTiBmXy+XAkAAAAAABYIuEToGzV8bnHsCQrMTFRXHGNTl1eUzZfdhVvPHTRhyMBAAAAAAQDEj5BwFjH55Onq6v4mS/+8sVwgt7AudtV3K5KQbfs88fedVTca86fbtknAAAAACDzIuETwKzV8TEuL9px6qr3BpOJLNx+RsUfda7pln0au3wxswoAAAAA4CoSPgEsvTo+msU9jrmHTl0AAAAAAAQ0Ej4BzFYdn7D0Wnilo2ej4iqOW0GnLqNtxxJUnDe7exNjBXNFqvhkgmv1lwAAAAAAmRsJnyBhrONzf+kYFf+8/ZTT++rdtKyKv1h/wrWBBZlnv9iq4t/6NXLrvuf1bKDiTp9ttLMlAAAAAAD2+W3C5++//5aXX35ZpkyZIn369JEdO3b4ekh+ydpknlk96qr49R/2uLT/q7fuuPT8YHMz+a6KY3JH2dnSebEx+v7OXUuysyUAAAAAAPaF+3oAtjz77LPy008/SeHCheXkyZPSqlUr+fvvv9N/YiZTp0S0bD52RURS6/h0rlfC5PHrtykA7AlhfpsqBQAAAADAjxM+f//9t/z3338iIpItWza5etV6x6mkpCRJStJnQ1y7dk1ERJKTkyU5OdnzA/WQtLGndwxzuteRMiOXiUhqHZ+ONYvY3JerY/EER4/TH7T/ZIOKX2tR2qkxO3qcuSLDVJeuq1evmnTvCgSB9Hm6guMMLhxncOE4gwvHGVw4zuDCcQYXjjNwODP2EE3TMtrMyaO6du0qR44ckV9//VVmzJghsbGx8sQTT1hsN2rUKBk9erTF/fHx8QF3sZxR/TeFSeriLk3i6qcmC4ZtFrl5N1xENBlfNUWcfSuGbxFJTAk32Wdm139TqKSugvTce3IgQWTqodTPs2DWOzK8ukdeBgAAAAAQgBITE6Vz585y9epVyZUrl91t/Tbhc/36dWnXrp2cPXtWBg0aJC+++KLV7azN8ClatKgkJCSke/D+LDk5WZYvXy4tWrSQiAj73aDKjlymWrAfGttSRETW7D8vL36zU0RE6sbmljkv1rXxbOs+XnlQ4tYcFxGRwc1LykuNSzv1fEc5c5y+ljaTSkR/nx3lzHG68jq+Fkifpys4zuDCcQYXjjO4cJzBheMMLhxncOE4A8e1a9ckJibGoYSP3y7punXrljzzzDNy5swZefXVV6VEiRLSvHlzi+0iIyMlMjLS4v6IiIiA/QCNHDkOYx2f+X+eks71SkiLykVEJDXhs+XkVaffiwGt71MJn5kb/5FXmldwduhO8ffPa/aGIyquWCBHhsfq7HH683tij79/nu7CcQYXjjO4cJzBheMMLhxncOE4gwvH6f+cGbffJny6dOki3333nURHR0tISIg8/fTTcvz4ccmePbuvh+Z35r7UUIoPWywiqXV8zAs3uzqF69/EwF3f6C5jF+9X8ZIBjT36WlnDQ+XWnbvpbwgAAAAAgA1+2WsoISFBdu7cKdHR0SIiMmLECMmVKxdduhyQlKKnd/zyww1Q3sy/vP1oRRV3/myT914YAAAAABA0/DInkCdPHsmaNaucPn1a3Zc3b14pW7asD0fl30Ks3Fe7RLSKl+4+bWULOCLhaqKKs0V4/kemQ61iKt509LLHXw8AAAAAEHz8MuETGhoqP/74o4wZM0Y+++wzefvtt2XixIkBXYTZ0+oYkjtp9Wa+fFZv8TRkwW6n95krMszlcQWDVh+uV/HX3Wt79bX9sqI6AAAAAMDv+W0Nn6pVq8r06dN9PYyAYazjM27JAenasJRJW/prSc63Ee/aoLh8tDo1efT52sPyooc6dfm7Szf0Gka1SsR45TXDQ727jAwAAAAAEFz8coYPXGOs4+OKQa3Kq3ja2qNu2Scc07txKRUPWbDThyMBAAAAAAQiEj5BxFodnxyGZVmJiYlWtnDM5Uzaqatv/J8qbl+toNde15hs+/6vU157XQAAAABAcCDhE0Ss1fEZ92gldV+fb52v45PZLdp1TsVxT9X0yRhSWNoFAAAAAHASCZ8gMvelhioet+SAiIg8Ur2Iuu/3QwleHxMyjh9O+NK7S/ZJmZHLZOAma3MHAQAAAPg7rimDlLU6PhmZKJIjE3fq2njooorzZY/w+us/XEVfQjZt1UGvvz4yt2m/HxMRkRT+mQAAAAACEn/JBxlr38W78v38k7X0GULxfxxzYU+Bp/vsbSr+tV8jr7/+R531JWRTVh72+usj89p2zDgbMER6zN7qs7EAAAAAyBgSPkGmfsk8Kk6r41MjNlrdZ5y14oiR7fQaQJOWH3JtcAHmlqEvekzuKDtbet5tN3VeAxzRafpmk9u/H/7XRyMBAAAAkFEkfIJMfM/6Kk6r4/N1t+rqvpe/3Z7hfV++kTk7dYX78KeE6inwBeqEAwAAAIGPhE8QS6vjExWlz07514X26plpjkmbKWtVPPLh8na29Czj7Kyft9OeHZ734MRVKjYmHBOuJnp/MAAAAAAyjIRPEGJWiOv2nb+u4q4NS/lsHMbZWcMW7vbZOJB5HLt0U8U/vFhD0lK9bT/Z6KMRAQAAAMgIEj5ByFodn6iIjH/UObJk3k5dvmacnZWYzEIbeJaxMHtkeKjcFxujbp+7luSLIQEAAADIIBI+QchaHZ8RhmVJPZ3suNOhZmEVL9h2wsXR+T9jC/QqhXP5cCSAd73+4z4Vb3it8f+jzLSYEwAAAAgeJHyCXFodn871Sqj7Vh644NQ+RrWvrOJ3fz3gnoH5sfcN3ch+7nu/D0eSqkTebCreczLBzpZAxiUmmtboSetMVzCrPrNs6e7TXh0TAAAAgIwj4ROk7NXxSXFhZVBCJujU5W8d0Of3rKfi52b95cORIJg1fH+9ins0LKbi/uX0bfrP3eXNIQEAAABwAQmfIGWtjo87ijn7WS7E7YydiFype+ROaTMtREQuu9BlDbDH2MFvZLtKKjaUkZKkO9SRAgAAAAJFhq5oz5w54+5xwM2s1fG5r1BOdd+2YywNsqblh/osh6+61/bhSADvGbtoj4rviYqweJzOfwAAAEDgyVDCp02bNrJgwQJJTma2QSBIq+Mz78Va6r6X5ji3NCh7JunUddmwZK1WiRg7W3pX3uz6RbhxFhLgDjM36MXYNwxuZPH4U7X0wu0D5273ypgAAAAAuCZDCZ/x48dLdHS0DB48WIYOHSrbtm1z97jgBubfyhtbfF9yshbPY9UKqTgzdOrytxkN8T3rqPixaZt8OBIEG/MEovH3RJox7e9T8Q/bmeEJAAAABIIMJXweeughad68ucTFxcmIESNk+vTpUrlyZZk0aZJcuOBcByh4jrU6Phn19uNVVfze0kN2tgxcvefoicvHqt/rw5FYKlcgWsX/XLnlu4Eg6DScuFbF73eoZGfLVMFexwsAAAAIFhlK+Bw9elQ0TZMFCxZI69at5fvvv5eHH35YHnjgAfnss8+kX79+cvnyZXePFU4y1vF55/91fLK5oRDxxetJLu/DH/2657yKJz9Z3YcjAbzHWIi5Q61iNrcz/u4wb+EOAAAAwP9k6Oq/devWUqRIERkxYoQ888wzcurUKZkwYYLUrl1bRowYIfXr15cnnnjC3WOFC27/v47PsNZl1X39v/szQ/viG37fyGGoo8QFN9yh28zNKi4VY7mUy+iTp/Uk6MOf/OGxMQEAAABwjwwlfDRNk08//VT2798vffr0saj5cPHiRTl8+LBbBgjXmNei6dqwlIoX7zrn3cH4sY2HLqo4f85IH47Etg+fqqbiTp9TNwuuW3NI79a3cvCDdrdtWrGgio9duumxMQEAAABwjwwlfH744Qdp166dyX2HDx+Wf//9V0RE+vXrJ/v373d9dHCZsY7P52tNk3CGlRwOiXLDcjB/9fxsPYGyZkADH47ENuMF956z//lwJAgGe07qyZ7g/ckGAAAAMq8M/Z0fHx9vcV+JEiXk8ccfV7ezZ8+e8VHBbYx1fCYuO+jSvtpW1QsZ/7z9lEv78jfGOibWuhQBwab9NH0517yX6jr0nKLRWVVsnBUHAAAAwP84lfD5+OOPpVy5cjJt2jQpWbKkyX8FChSQa9eueWqccIO0Oj5l8+nJOOO3/OkZ1aaMisf9GjwzuIz1cML9fKpDZJi/NYxHoEoxFOOqVSLGoef81k9PIL/wFcsKAQAAAH8W7szGr7zyipQrV07mzJkj3bt3N3ksS5YsUrVqVRvPhC+FiGmh5fgX6kit8atFRKT7Vztky4jmDu3HOPPl/LXg6dT16LQtKh7zSEUfjiR9r7cpJ28tSk229fhyi8x8vo6PR4RA1HLSGhU3MCz7TI/xd0BispNrQgEAAAB4lVMJHxGRFi1aSM2aNSVPHsuLhISEBJbD+KH6JfPIxqOXRSS1js+LjUurxy5ksMV6MHXqOnjxhoo71yvhw5Gkr2vDUirhs+oAS2qQMcZz3rjs0xHmCWQAAAAA/smhhM+8efOkQYMGUqRIERERWbx4sWia6Z/8mqbJr7/+Kt999537RwmXxPesL8WHLRaR1Do+xoQPAhcX3cgIY/2tLBlYIti6UgH5dc95EREZu2iPjGxXyW1jAwAAAOA+DiV8vv76a8mVK5dK+Hz11Vdy+vRpyZ8/v4SEpF4waJom+/bt89xI4RZpdXwiw0NNChU7KioiNKiWckxbpReyrl4ktw9H4rjwUOc7rAFp+s3dqeKNQ5o4/fxpXWqpBPKsjSdI+AAAAAB+yqEStYsWLZLWrVur22+88Yb89ddfsmbNGlm9erWsXr1a1qxZI4sXL/bYQOEa8+/xX21aSsVDFuwUR7W4L7+Kl+4+7eqwfO795YdU/MMrjXw4Esd1qRur4lE/7fbhSBDoYnK7tgQ3hWlmAAAAgN/KUE+iJk2aSNasenveY8eOydGjR6V27dpuGxjcq1HpvCr+fO1h6d20rLq98C/HW6yPf6SCikf/8rd7BudDgXjBOqp9ZRXP2XzShyNBoKk5dpmKu9QpkuH9GJeCGbvcAQAAAPAfGUr4NGjQQEaOHCkJCQny6aefSpkyZeSpp56SDz/80N3jg5t8/UI9FU9cdtDkMWeWBxmLcp+7Gtiduk4m6BeqURF+3o/dBpZ2wRmXbiSr+O3HM95Vcdxj96n4qZl/ujQmAAAAAJ6RoavckiVLytixY0XTNBk8eLDExcXJli1b5NatW+4eHzzgtpumtQTg5BgT7aeuV/G8FwNrdprzpXaR2U36bb+Kc0WGubSvDrWKqXjX6Wsu7QsAAACAZ2Qo4VOjRg0REXnzzTelXLly8vLLL4uIyN9/B/4Sn2BmniQokTebig+cv+LVsfiDfxP12Q6VYmN8OBLnNS6jj3f2hiM+HAkCxUer9fPkj6EP+HAkAAAAALwhQwmf4sWLS5MmTWTZsmUye/ZsOXHihPTt21e+/vprd48PbmRex2d+T32ZV7cvtjm8n6zhgbn8yZZAnC0zq0ddFY9bcsCHI0EgMK+zY1yamVF5s0eoODMmjAEAAAB/l6Er98cff1zWrFkjR44ckUqVKkmxYsXko48+kn///dfd44MbmdfxMXboOetEPZ4WFfVOXav2nXPP4Lys5+ytKn7GheK1/iApECtPw6tqjl+r4tHtyrtlnz/01rvaPfnpZrfsEwAAAID7hGf0iYcOHZLz58/L3bupVWM1TZOFCxdKXFyc2wYHz3Gljs+7j1aQRbtSEz1v/bxXmlYs6K5hec2yvy+o2JXitUAguJmsV/fu2rCUW/YZG6MnjK/cvOOWfQIAAABwnwwlfJ555hmZP3++FChQQMLD9V1cuHCBhI+fCxHTYstZwkKcTv4Yl4OcukKhbl+pVCin7Dn7n4ikzrQKxMQbPM84my02TzY7WwIAAAAIJhla0rV8+XI5efKk/PPPP3Ls2DH13w8//ODu8cHNzOv49GhYXN0eu2iP0/sLxMVExmVoBXNF+nAkrpn3Yi0V95u7w3cDgV8zzmb7fUhTt+67boloFX++9rBb9w0AAADANRlK+AwZMkQuXrxocX/hwoVdHhA8y7yOz9A2FdXtrzad9MWQvK73N3+peNWrDXw4EtcYZ1pdT0rx4Ujgr4zFlD1RnHzuSw1V/O5vFA8HAAAA/EmGlnQdPnxYvvvuO6lSpYq6T9M02bJli+zdu9dtg4NnmS/lSr7r+HydrOGhcuvO3fQ39EPGIsfu6FYE+KuH4zao+JsedTz6WgH66wAAAAAIWhma4XPnzh1p1KiRxMbGSrFixaRYsWISGxsrefLkcff44AHu+Kb/gTIxKt54yHK2l78ytqcOhu7yhaOzqpjW2DBnTMI0KJPPI68RDD9HAAAAQDDK0Ayf4cOHS4kSJSQ01PQv/R49erhlUPCsRqXzyrrDl0Qkte5G0eis8s//iy+fTEg06b5jywcd75OKY1Jrgwz7Ybfba4N4yiPT9PbREx6v5MORuMe3L9SXB95fLSIiXT7bIltHtvTxiOAv2sb9ruLaxaI99jqDmpeRd5cdEhGRZ2f8YbJsFPC2BdtOyOAFeyREQqVNG1+PBgAAwLcy/N1sq1atpFOnTiIisnXrVnnnnXfknnvucdvA4DnmdXy+eaG+ut3liz8c2odJp67LN903OA87fFGf4dOhVjEfjsQ9jMm5izeSfTgS+Ju0Dm4iIvN7N7SzpWt6Ny2r4rREMuArgxekNh/QJEQSriemszUAAEBwy1DC5/nnn5eKFStKbGysiIjUrl1bKlWqJN27d3fr4OB5t1M0k6TByQwkbyjdAfiXpbtPq5glV8icQuTxaVt8PQgAAACfytClQLVq1SQuLk6KFi2q7rtz544sX77cbQODZ3miY4+/m/TbfhV7comLufsnrJQyI5dJ/02eufK+JypCxQlX+UYbIr2/2aHiVQMf9Pjr5YoMUzHnIHzFmOgUETl77baPRgIAAOAfMnQFGh0dLdevX5eQkNS0wZ49e2TIkCFSp45nu8DAfRqVzqviz9ceztAsgMgAmzrwyeojKvbkEhdzafWRREJMika7y+fP1lBxx88cW5KH4Gbst+dITS5XxfeopeI2H230+OsB1vT9dqevhwAAAOBXMnTF/vLLL0v37t3lgw8+kAoVKkjVqlXl3nvvlZkzZ7p7fPAQ8zo+XerGqtvGmTD2NCqlJ422HUtw3+A8xBdLzx75aJ3hVog8GLfJ7a9Rq4TeMe3YpcCppwTPqPPOChV3qlXEK69ZKVY/By9cT/LKawLmku9qFvf9vP2UD0YCAADgHzKU8MmdO7fMmzdPNmzYILNnz5bjx4/Lzz//bLLEC4Hjdoomo9pXVrc/+/2oQ8/76Em9y9VrC3a5fVzudDJBn1mTPUuYnS3da9fpaya3LyemeO21kTld+E9PuLzXoaoPRwJ4j3H2ZJbQEEmb5zbYz/9tAgAA8KQMJXzGjBkjIiKFChWSOnXqSNGiRUXTNHnllVfcOjh4lq06Pkkplt+SWmPs1HXCz2eWPPKJPtNm7gu17GzpPnErrM+U8kSNk6gI/UfZE8vGEBiM51wOLyY2RUQqFsihYmZVwNuafqAvJfzk6Soqvu3gv2cAAADByKmEzyeffCLdu3eXxYsXS/fu3S3++/777z01TnhA4zL6MozP1x52aV/+3qnrys07KjYuP/GkKSv0mkGfPFlZ0r5xbjZlnY1nZNyEx/UZWs/O2u72/SMwGM+5LcMe8OprL3iptor9fcYfgs+5a/rMtiblC0io3/+rBAAA4HlOJXxefvlliY2NlVy5ckmxYsVM/qtbt6789ttvnhonPGBWj7oqnrjsoBTMFaluB2unHW91J9tz0rSmUctKhVR89dYd881d9kh1vVbLXyevuH3/8H/mM7uMM/C8wfh6js4SBDylSUH9HOzxJe3ZAQBA5hTu7BNGjRol7du3l+rVq1s8dvHiRbcMCt53O0WT2T1qSaspG0RE5MnPN8vKwem3c44MC/H7izvjH/td68fa2dJ9Hpm6WcXxPVK714XKXbkrqctsEq4mSkxuz1yQ+/enAU+pNX6tit94qJxPxhAq/j/bD8Gn/3d/qrhdlYIiItK+hMiqc6n3rTzA3yYAACBzylANnypVqsjy5ctlzpw58tVXX8lXX30ls2fPpoZPADLOeClXIFrFRxIcm+FTv6T/d+oy/rFvLE7tKYmJiSYXvQ3K5BMRkV5l9FRMk0m/u/11s4R5a/4S/FFisn7Wvdi4tFv22ebD9fLHOce3f86QUO0b/6edLQH3+WmHfpJ+1LmmD0cCAADgXzKU8GnRooV06dJFpk+fLl9++aV8+eWXMmvWLFm/fr27xwcPc7WOz9Sn9QTK0O93u2VMga7eu3oyx9gWu5yhdND12+7v1vXygyVVzMV25mKc4VAod6SdLR1XYthiOXQxUb495njxZ2NC9ZddTmSKAA/IGamfuycd/BIDAAAgmGQo4XPw4EE5fvy4rFu3TlavXq3+++GHH9w9PniYeR2fcCfPCGPdjuOX/O8P6qW7T6u4cHRWr7zmtSQ9mWPeFju1XXAqd1+A9G9eXsWLudjOVIwzHDYNb+7y/oYs2GmyNPDjlQed3gdLC+ENq/bp576xDp2IyNfP6b9/n5jGF1IAACDzyVDC591335Vt27ZZ3K9p/IkfyG6naPJ4DX1GyrRVzl3k+WMpn37f7VTx8n71Pf56T0zdoOISebNZPD6vh177qnXcWovH3YU6KpmHMXHorkV987YZ26qHyIdrjjv83KgI/Z8V80LSgLv1+uYvFa96tYHJY/cZOjJevJHstTEBAAD4C6eLNouIzJ07V/bt2yexsXq9Bk3T5O+//5Zz55hZEGhCRP82/r0OVdXFXtyqI9K7aVmfjcsdbhuyUN7oWvSnoUPW6teaWjxuvAAx1lxxl7AQ/0y8wXOaTl6t4pnPuV6/pOwbSyzuc+aUmvFcLek8M7VQ+kOf/CFrrfwcAO7i7d/xAAAAgcThhM/169clR44cIiJStmxZadq0qURHR0tISOp3yikpKbJ48WLPjBIe1bhMjKw5lFpw2VjH59YdxxISWcJCTP7o9hfG2QXOLlXLCOOMqEg7BZSzhoeq9/bA+SsmxbJd1b7avbJw+xkREXl3yT4Z2qai2/YN/2T8MW1asaBL+5q94YjJz3KhXFnk7LXbIiKyYNsJ6VCrWLr7SCtSLiJy4tJNl8YD2GP8HR8Rav13bvUiuWX7qasiknp+d21YyitjAwAA8AcOXwZ/++23Kn7ttdekX79+0q1bN+natat07dpVunfvLtWqVfPEGOFh5nV8nFWr2D0q3nPSfzp1PfzJHyqe8Hglj7/eu8sOqXj7G01sbvdTX31pWfuPNrl1DJOf1JeMfb7+mFv3Df/z2Md6XZLqRXK7vL+3Fu1X8fsdKsnSl+tI2vyeoQv3uLx/wJ1afaj//vzo6apWt/nhlUYqHrt4v9VtAAAAgpXDCZ9evXrJvffeK7GxsVK7dm0pXry4xMbGqv+KFCkiY8eO9eRY4QW3UzTJn0MvfJlwNf0aHDO66H9ovzrffzp1HTPMLnBkZoIrDpy/YnLb3tIC44weR2dRZYQHdw0/kTZzQcT0wjYjqo9ZpuLI8FDpUKuYyXmc4sT5FJtHr1+18dBFl8YF2PLPlVsqbl25cLrb8zsRAABkNg4v6XrwwQelc+fOEhZmvUVvcnKyzJ8/320DS7Nx40bZtGmTlCpVSu6//37Jmzev218DpnV8vniumrSdullERLp8sVWWDmhs97nGi8JjftipyxvafKAXa/70mWrpbh8VEapq+Ow5mSCVDLV9XGX8LBG8jN2JXF2yuO1YgvybqBe1PfD2QyqOCkuRxJTUfyo2HrposmTLlqWv1JOKY1JrC73w1TbZN/ahdJ4BeE54KMkeAACQOTmc8Bk/frzUrl3b7jbVq1e3+7izZsyYIceOHZN33nnHrfuFJWMdn03Hrqj7D5y/7tR+nJkF4EnvLtmn4roloj3+esYSRo5807y0f2N54P3UC+Inpm+RA++0cdtY6pfMIxuPXhYRx+uuIPD0+OpPFS/u39ClfXWYvlnfb0PT82VwJZEx/2921/XLrXJoXPrnqjEJ7Ini5MDAudtV/FClAna3HdS8jFpy++T0DTL3Jdd+XgAAAAKFw98Lp5fsERGpWdP1DjFp1qxZI3PnzpW3337bbfuEbbbq+ATqTJFPf9fr13j6j/tqo39T8ePV73XoObEx+gVxkpsLXsf31GsEjfxpn50tEciMZ40rhb9bTlqj4hARGdnOtN5VXsPqxOS7jp+r7moRD1iTVpxeRGRal1p2tzV2m9xs+EIDAAAg2GWoLbs3DBw4UBo1aiR9+/aVI0eOyJtvvin169e32C4pKUmSkpLU7WvXrolI6hKz5ORki+0DRdrYfXEMt1M0kynwjowhIlQk2Ynt03jqOI2XpZ5+D6/cvKPidx+vZPX1rB1n9ixhcuN2ioiIbDp8VmoVc9+yrjQ3k+969Rzy5XnrTb4+zsbvr1Vxu8oFMjyOhOuJcvDiDXV7x/BGJvtKi41LEPedviRl8udKd9+tK+WXX/dcEBGRMT/tlOF+3DHO15+ntwTrcZofT3rHGSzHH6yfpzmOM7hwnMGF4wwuHGfgcGbsIZqm+d0kjgMHDkiFChVk586dUrlyZZk4caKMHTtWjhw5IvnymdaPGDVqlIwePdpiH/Hx8XYL58JS/02hkjrpS5Nq96TIjn/DRUSTJ4qlyAPpTFz5cLfIkeup2w+tmiL3+vCtT0gUGbszTERCJDL0jrxXN92nZFjqcae+Vp6IO/KW/S+aTRjHGSopMqW++34UjZ9lXP0Ut+0X/qH/ptTzxtXP13ielMmZIq/YaGZ3JlHk3f+fqxEhKfJ+PcfO1bRxhshd+aA+S7vgHgcSRKYeSj23cobfkbfTn4Asw7fI/2tRaTKyaorE8OcBAAAIUImJidK5c2e5evWq5Mpl/4tYv0z4LFy4UHr27CkJCak1ZW7evCn58uWTyZMnS8+ePU22tTbDp2jRopKQkJDuwfuz5ORkWb58ubRo0UIiIiK88po9Zm+V3w//KyIig5uXlPdXHBURkWwRobLrzeZ2n5twPVHqv5vaIrps/uyyuK9jy6g8cZw1314p15JSL4KX9K3n0GyEjCozUu9sdGhsS5vb2TpOR5/vrIfi1svhhNQC2t++UMMjs4es8cV56wu+PM6Z64/KhN8Oi0jqzJud6fxs2tLrmz9l5f5L6ra18894nGlFmG1ta42nzm9347wNLJVGL5ekO6l/uuwc3sjiyx1rx3nowjVp89EfIiISnS1Mtr7ezLuD9oBg+TzTw3EGF44zuHCcwYXjDBzXrl2TmJgYhxI+frmk686dO5KSon9rnS1bNilTpoxcunTJYtvIyEiJjIy0uD8iIiJgP0Ajbx7HVy80kOLDFouISNwqvQbOzeS76Y6h0D25VXw04YbTY3bncaYle0REKhb2XFe32RuOqDhLWIhD4zc/zlyRYWq86w5dkqYVC7plbD/3qasu0HvN2SU7R7Vyy34dFSw/f+nxxXGmJXtERLYNb5yh109MTDRJ9vw++EG7+4mIiJAsYSFy+//1pq4mJktM7vSnSESGhagaVcnJyX4/65LzNjCkJXtERHLnzm1zO+NxGv8tuHIzJaCP31ygf56O4jiDC8cZXDjO4MJx+j9nxu1iM1/PqFKlily5ckXN8BERCQ8Pl/vuu8+Ho8pcnCnOas5f2t96umjsW4v2q3jjkCYZ2seqgQ+ouOecP+1s6RzjhfXVW3fsbIlAkpiYaHI7owmUym/rs3WK5c1mUkTcllnd9HUzzaasc+h1JnaoouIO07c6MULAOuPPQLhf/gUDAADgP/zyz6Xy5cvLQw89JAsWLBARkStXrsidO3fk4Ycf9vHIgp8xSZInu545NL/Q9FfPzvhDxd0beq4d+ckE0/fDkdkO1hif5y+JMvivOu/+ruIBzUtlaB+TftsvKYZzbe1rTR16XoMyev00R5OIj1QvouJ95687NkDAjoc+0X/HT+5Y1ann1i0RreJpqw7a3hAAACBI+GXCR0Tkq6++knXr1smUKVNkzJgxEh8fL2FhYb4eVtBrXEav9dKqXH4VPzUz/dkn/vBt67rD+jIV8/bS7tR0sj5D4sMnnbvoMHdPlJ5YW7r7tEv7MsqfU1/qaJ6gQmC6bliu2L95+Qzt46PV+lLE+B51nHqu8Wc8UJLACC4nLt1UsTGh6Ii5L+m15SatOOS2MQEAAPgrP7hEty4mJka++eYbGTBggEyePFkqVKjg6yFlCrN66C2tFuw4o+Ldp6+l+9yqRaJVfOD8FXcOy+8YZ+M4e9FhbsPgRip+5dsdLu3LaMFLDVTc6bONbtsvfGPIgp0qNibznFFx5K8qzhkZZjJrxxHGGRVNpjh2TuXPoY91z8kEO1sC3sOMSgAAkBn4bcIHvmes4+NIRZ/pz1RX8YD4nXa29Azj7Jii0Vk99jo1xuqdh9pVcb3IsrEOizsvQox1Wc5dS7KzJQLBvG2nVLzlDec7cy3dfVoSk/UTbPfo1k7vw5jcvPCfY+fUkr564rHzzG1OvyaQZsRC/d+VZuWcS1am8YeZqAAAAN7Cnz6wYKzjE+ZE5WNjPZqDF71fr6Pfd/rFwG/96nvsdS7fSFbxR51rumWf+Qz1khZsO+GWfSJ4GJfkZbQYea9vdqh4aMsyGR6Ls69v/L1g7KAHOOubLXrSc+bzzi1HTDPyYX0p5GMfr3d5TAAAAP6MhA8sNDV8c1oijz5TxplEhC+my6e1jBbJePei9HSbuVnFhXJnbFmNNWsH6cu6hizY47b95orU615RcyVwNZu8RsXTnqnm9PMbTlip4vBQkd5Ny2Z4LK8/VE4f1/ur7WwJuFfGe0fqujbUi51vP3XVDXsEAADwXyR8YMH4zemJf/VlG2/9/LcvhuMQYzIjItRzDdnXHNJrkGwa7vyyGluMCSp35so+7aLPQHp02hY37hneZFxe2bpyYaeee+D8FTl95Za6fXica90OX2xcWsVHHCwG3qBkHhXTHQkZse2Y/rs3r2FGJAAAAGwj4QO7jBeaN26nvxzDV/URWn+st+qd1LGKR14j/o9jKvbEcRbMpc8YMr6WK4xFeQ9evOGWfcK7Ok7boOJKhXI6/fxWU/Tnt6/mes2pjIjvqS+xpDsSMqLLzK0q/q1fIztbps+4hJZC4gAAIJiR8IFVGZ0jU/ne3Cr2Zivwk5cz3qrXUa//uE/Ffwx90O37X/WqXtz2DcNrIXPbeuKKin/p/4BTz31i6gaT23FPuafmVLf6sTZfIz10R0JG3DKcOMa6UBnxfW89YfQ0hcQBAEAQI+EDq4x1fCINlZvTqwMT91QNFb/y7Z/uH5iPmCevnL3gaPPhejmQzhfJxmVd7qhVkSYrbWkC1sZDF1Xs7MeYmJgof568om7ve9P5JKWtn/dR7Sur2Pga9nAaIqOM56E7ziNjB8P/KCQOAACCGH+CwypjHZ8kQzHkZ2dtt/s84x/S+85ec//ArBi7SC9yfH/pvB55jaaT9eK073eo5NRziw9bLIcuJsrUQ2HpbhubJ5uKP1972KnXseXNtnpXms6fbXLLPuEdz8zU6y4t7t/QqefeN0Y/ZysVyul0IfMKI3+VquPXS/9N6Z+3jhjUXO8M9uR052YFIXNrN1Uvlj/hced+/wIAAGRmJHzglL8c/DZfxHtLN77YoHcP+/qFeh55DeOxdKhVzOHnjfppt8ntId/vsrv90lf08Y/79YDDr2NP53olVLzp6GW37BPeYZzpVa5AtMPPG7Jgp8lznV0KVn/8CrmZrJ/0a/aft9jmoUoFVNxz9laLx80ZO4NtPnbFqfEgczMWB3fm9689zQyzWN9dwhJaAAAQnEj4wCZrdXzcudTIXTw9pjpvr1Bxywr5nXrurE0nDbdC5Icd5+xu76llXZ7cJzzjgfdWqdjZ827etlMq/qVPXaee2/mzTXL2apLhnhDp/e1Oi+2mdaml4mV/X3DqNQBfM85i/Wyde4rkAwAA+BsSPrDJWMfHGd6s1XHg/BUV54x0z9ITcxeu6xe/n3Wt7fDzao5dZvX+9LrClDIsi4tbsd/h17OH+imBx1iI3JnzruwbS1ScL3uEVIqNcfi57y7ZJxutzAJz12y93FnDVezNou4IXM4u2a02aqmUGbnMqaWIKWTCAQBAkOIyEDYZvwE1Wrr7tN3nlS+gt4729EVdh6l6O/YFfdy/nMu4VCV/jkg7W5pKuJool24kq9tfda0hafNr2k/bbONZqVYO1ovrfrDiiMOvac+LjfRlXUMWWM7WgH+J/0OfceBM0e3ZG47IbcPV69aRLR1+7qp952Ta7/rrNikTI3mi9Ivmn7efsnhO7WLRKh6xMP3zal5vfbbRE9PWOzw2ZF7OLtm9cksvwvxiOksNszjRkAAAACAQkfCB015bsNvu41Of0Zd69P/uL4+OxdhhxZkaJ44yLlXZMqK5w8+rNV4vmNuuSkGpX1qfZeHMt8nu+uJ5aJuKKv7+L8sLd/iX13/Ua4qsf62xw897a5E+I8yZ4uIJVxOl+1d6V73YPNlkVo+6srp/fUk7CwfMs0zozO+tF5KesyX988r4M3rRkBAFbHHmd+AXa40J8hBZc/hfu9uPe+w+FT8+Pf06VAAAAIGGhA/sslbHJ702tsZOXbvPXHXziKyzNk5XLdimf7PszJIo8wKgH3WuKSIiFXPr71vjiavEnvIFcqjYuKTBHVK8VEwbGWM+0yAmt2PdtaqP0ZcQRoaHOlzcNjEx0SRBGRURKr8PaZoaG2pKsewF3mZc/ponKiLd7cf86twSWOPPyP7z1516LgAAQCAg4QO7MlrHJ40nO3UZW4z3eqCEnS0zZvACPdGyauCDdrY0ZVwWYyyY+5I+yUZOXLop9iwdoM/qmGlY0uAKftgDQ/331qm4t4Pn9bZjCfJvoj5j5sDbDzn8ehUN7dtDRWTfWNPn5g7XE5WzN1guMSybL7uKHak5VamQvuTTmFQFzHX6XJ91s6x/I7vb2lqS9eSn66zeDwAAkBlwDQi7bNXx8Yd6B8bissYlS+6QcNX0+IyzluypN07v6BUVEWpRMDcqQv+Rm7bqoAsjdF4rQxttb782HHf11h0VO3ped5iu14Xq0dDxttUlhy02uX10wsMW2wzTV73IqEWWCZ1lg5qo2JGaU/Ne1Jd8vv7DXgdGicwqMVn/xiC9mW7V31mj4iwhImmLwTYfv2b3eYVy67XZth2zX1AfAAAg0JDwQYa8MMd+gdZA7wpV71191sO4Rx276E64mijnrukdvcxnSoiIbBrcQMXvLjtkd39VCudSsSMFcdNjbKM9ZeVhl/cH9xv1k14fK2/29JewiIi0nLRGxSEiMrKdY7V7Ko78VYwT8Pa9aX0Wm2FVV7r1VBxZ9WVcJnabdWKwwfilgiP/niQZi5UPaySOVv9Z1Ef/ndz1y20Ojw8AACAQBPhlObzBWn2cP6y0bjYqm0+vQWM+W8YdjB2DiuXN5vb9G5eida7n2LKa2oY6KC0r5Le6jfFiV8T+e/Nz3/tV7EhBXGdwoe2fZm06qeI/HeiwlXA1UQ5evKFu77WRtDH3wHurTGZP/D74QYtz06hYnqwqtrZsyzhLwpFlWmGeKLqFoPLotC0qHvlwebvbmncejIqKklBDOrPDJ7aXdRlnDt24bb8+HQAAQKAh4YN0Wavjk15pnimdq6r4pW+2u3lEIgPn63/g//qye9ux1x+vL8tqUibGzpa6uBX7Tb5P/qxrbZvbjm6nX7w0mrjW6fG5guts/5WRxKix2HKDknnsJm3S9Phyi5y8rNeQ+uK5mukuWVwx4AEVW1u2tbK/Pkti6ML0i4x3a6AvO+s9h1kVsGRMZHZtWMrutvO26Qnx9tUKiojIlPr649v+sb+si9+LAAAgWJHwQbps1fGxx9h+eeepK+4bzP8ZZ+A4cpHrjLNX9WVZs3rUtbOlborhInjBS/afY7x4uZVOVevaxaJVPHCu64mzGrH6/pbuPu3y/uA+Dd9bo2JHWqr3nG3aRjq+Z30bW+riVuyXlQcuqtu9HyghTSsWdHyQYn2hjEk3LwcKtRuXnS3dc96p1weMTiaYJkrjnqrp9D7aVtF/BtyxfBYAAMBfkPBBhq3ad86h7dzdqctY2yGLm9eG9I3/U8V5HKyhcv+ElSrOGh4qtUqkPyvI2NnI2G3M3PzeDVW8cPsZh8Zjz9fdqqt44LxdLu8P7mOsQZJeS/XExERZ9vcFdfv3wekv5dp46KJJYrJByTxOFTsvX0Bfpjl2keUsnnsMbbM3Hrpo8bgtLC6EuXeX7FNx3RLRdrdtOnm1zccMNfKl1STb233UWU8Sxbt5+SwAAIAvkfCBQ6ylVQbM8803oa0+1BMkHz5V1c6Wzlu0S09i/eVADZXExET558otdXu/g+2wjZ2NNqZTD8mdjDMxjDVc4FvPzvhDxcZkoC2V39YvXovlzZbukqyEq4nSeaZeE6VQ7kiHZgQZLR3QWMUzN1jW6VluaJvd9cutFo+bM3as84euf/Afn/5+TMVzX2poZ0vTLxTMZ1fuG63/Dj9w0bFzjN+KAAAgmJDwgUNaWClCbGwfbY2nOnUZEyytKxd2236NhaDDHBz7fWP0C29H6/2kMb4/9mZL3V86r4qpdxKc1h2+pGJjMtCaSb/tN1k2tfa1punu31jrJ2t4qGwa3tzpMabHWPw2+W7683ZmPKd3jTMmcQFHZ321jfvd5LYjsyttyRpOAhIAAAQfEj5wiL0ixLaU9nCnLnfrN1efsbR6YPpLZD5fe9jkwsTRej9pFvfXv7nu8dWfNrf7+gW9KPWvbqh3Yuxqtudkgsv7g2u2HdM/A0dWKH60Wl+W9cVz6dcrKT5ssYpDxPFZaNbUNNSAslZTyjhr58D5K3b31aCMXgzemMRF5mb8nZQ7a7j9bc/+p+KCuSKtbpMtQv+havzeSqvbiIh88GQVFT/8yR82twMAAAgkJHzgMXGGTl0vf+eeTl2jftqtYmdn1NhjnpBKb4mMiMg7vx5QcXwP1wpbe7OOyfc99QTSc7P+8uIrw5pO0zer+Kfe9pOGFUf+quIckWHpFlwuNXyxye1jEx7OwAh13/exX1Pqh1f0ZWKPfcysHTiv0+f6csBFr9xvczvjjEwRkVWvNrC63d9j26j4xGXbiUXjbNFjl27a3A4AACCQkPCBw6xNPujx5RYr96YyJjT+OnHVLWOYvemkip2dUWNPA0OHpDceKpfu9g9OXKXiyLAQk9kKzuhSp4iKa4xdZnO7loYldfbec0cYl95cTkx2aV9wnbFmSKVY20nMpbtPm9Rd2jO6td39VnprqRjqQMu+N9OfteYq48+8IzWijLPNHC0Cj+BmPG/sJd6NMzJF3N+tEQAAIBiQ8IHDrNXxWXPQsW48jtT0cISnZsLcNlwZv9i4tN1tExMTTb4BPvBOGztb2/f24/osqMs3bCdfjEvqjG21Ediave94Dahe3+xQ8dCWZdLd7/WkFHX798EPuu2C2DhO89bwIqad89Jbyvnry/pss5e/dc8sQAQHe8sbzWvsdKpVxMaWqXJk0f/UaTB+uc3tSEACAIBgQ8IHDrNWxyfFi2uRjDVB0qvt4IwH3tNn6zQomSfd7SsZCjWn1zLYEcb27yMWeqfzWV7DawZCfaVgdSRBf+/tzVhrOEGvPRIeKtK7aVmb2/aes81kv58+U82hJYqOMo7T2Bo+TfwL+vLGZlPW2d2XMQl1k65xmV6bKWtVPKy17ZmWDSaanlfvdbDfrXHPGL1u1Zmrt21uRwISAAAEGxI+8ChHu1054glDIU17tR2cdfKyPlsnvVbV8X8cM1mCk17LYEcY27/P2XLK5nbtq+n1Wjp/5lp9lPie+kX5Y9OoteILC7bprc0j7UxnOHD+ipw2FDU+PM52HZ7P1x42Kezdo2Ext3ayc4SxU1J6nfxErC8VRea07/x1FdubaXnlpn5eubMbJAlIAAAQbEj4wCnWLs42HrK9xKhEXv0PaFdb3V6/rS9RcdeMBWOnoehs6c8aev3HfSp2pEOSo4zvq63uRnFP6a+38ehll17PWGuFDkm+MXjBHhVvGNLE5natpmxQsTHpZ27bsQSTQuK1i0XLyHaVXBukDe2q6ON4cvoGi8eNF+Hp/dw/Yjgmb81wQ+AassD0HPmxl2O13KIjw1Rcc8xvNrcjAQkAAIIJCR84xVodn1fsTH3/oGNlFb8wxz0Xc+48aY2dhna81cruti0nrVFxeKik2yHJGTMNyaOH4ywvoBFczJMgxkLaRk9MNT0XjEk/8/11MHT7yp8jUub3dn32mS0fddbHsfnYFYvHJ3fUl9g0mbLR7r6MxxRvZ4Ybglvciv0qrhkbbXO7edtMzxF7hc6NdhiKnF9KtD3zrKOhHlD/7/50aN8AAAD+ioQPnGKtjo+9Tk/GP8a3nfg3w69rnEXw8oOlMrwfo6W7T6s4vR+ExMREOXjxhrptb1lNRhiTR3fsrCQwFic1TwY4K0cW/RtvV2dfwTmN3l+v4h4Ni1ndJjExUf48eUXdttdlq6KhrlRkWIhsGdHc9UG64JHq+nl64b8kh5/HIprMK27FERV/38d6svJkgunvqcLRWd0+DmM9oJ93ULgZAAAENhI+8JrbLlR4Ns4iGNSqvBtGY9r16NcB9mdDVH5bv6CuXiS3W17fnLFgtHE2kZHxYsSYDMiID5+qpuKnZvJNtjcZk6S2ll3dZ0jiVCqU02aXreLDFqs4RFzrGueMbvVjVfzIR5bFmZ1ZGmOsYUTyMXNyJNnXdPJqk9sbhjVz6jXyGYrVV3trabrbe7EnAQAAgEeQ8IHTgqHGgflFpbGmjbkF205IiuFq5IdXGnlkTMaC0cbZRJ5inFW06/Q1j78eUo1dpNfuuScqwuo2QxbsNLnY/KX/A1a3K/36YpPbxya4d+aZPaPa68s1rZ0/rz+kd1kytp+3ZmKHKip+fLplq3cEN2PdspyGWjvm7M1+dMRWQ4H8K0kpNreLitD/NCIBCQAAAhkJHzjNWh2f3nO22dzeTgMihxi7GZVyU7Hm6u+sUfHQlmXsbmssrvvhk/bb/7oqq6Ha7ewNR6xuY5xZ0Tbud4+OB+43c4N+Pm8YbD15aKxT8ksf60Vpq476zeQC2N6SL18wdlk6kpBO4WbDErD9hk5NyByMHRgX97We3DT/XWf8PehuM56rpeJWH9LFEAAABC4SPnCatTo+y/edt7JlquIuduoatlBPuCyycfHrrCTD8rLeTcva3M54kREeanph6gnrX2us4rcW7be6jXFmxZ6z/7n0evbagcP9Eq6anv/WlmmVfWOJivNlj7BalLb1lLUmLc9/G9DQ5pIvT+prqKeV3iwewBZHOjCa/64z/h50xr25s6j4vpFLrG7ToEw+FdPFEAAABDISPnALe1Pt331C/8O8z7e7Xdq3Oy5qH5y4SsX2usEkJiaaXGTsGuH5GRTm3Zo8vZxgcEs92dXjyy0efS2INJq4VsXjHq1o8fjsDUdMal0Zl6Ck6f/dnyazYN7vUMnukkRPMtbTsjaLxzgLI70i4/lzRqp4z8kEN4wOgcbWHyQ/bzftzBXuwl8uG4e3UPGNZKr0AACA4EbCBxnizLyQWiX0GQqbjl5y6nWMCQ93zUY5dummim11gxERqWIo1FyxQA6vzaAwLjGrNX6t1W2MMyuaT8r4zArjsptVBy5meD9wzC1D9rJzvRIWjxtndb3fwbKY8+wNR+QnQ+egTrWKSIda1rt8eYvxp9I8QWmchZFekfElrzRQ8dMzbS8RRXAxFvx+zcby2n5zd5rc/rGXe2Z62lM6n/773jzhBAAAEChI+CBDrNXxceRb+SQnO3U1i9uo4mnP1HDqudaMWKhfONgrDrp092mTmUVLBjS2ua27GZeYJSZbnzplnFlx+KJ7ZgHxXbdnGWdQlcibzeLx6mOWqTgyPNQikbPnZIJJQqh6kdwmXdt8xVicuYUL9U6Ms9v+s1NQF8HFWPDb2vJaa7McrS1zdEbJvHo79/IjFlvd5ufeelLptQW7XHo9AAAAXyHhgwyxVsfn+dl/uf11zl5NUrGxq1RGzdmif1O7eaj14qAipi3brc208DRjQsDWUit3Vd9xZXkEHLfSMINq9WtNTR7bdixB/jW0aj/w9kMmjycmJkrbqZvV7bzZIzzWLc5Zxllip63UO2lXRf+57TmbDlxwTsP315vcLmYlWeqsVa/p7dwNpbBMGGd0OvtFBQAAgL/gUg9uc/FGss3H/OFEW7VPXwoTIrbrARlrjYSFiE+WzBgTAittLLUaYlj+0NhQl8hZT9XSC1EbW4bDfYyz36z9LHSYridzejS0PN8qjtGX7UWEhsifVmr7+JLxmMxnZHzUuaaKl/19we5+mpTRZ27ErbBetBzBY9qqgyquUjiX1W2MiVARkbVmyVJP8od/twAAAFzB3zPIMGdmmBQ1fCvraCFi4/KrZuXy2dnSMd2/+lPF9rp9GWuN7B7pu1bXxpJFGw9ZJn2Myx9OGOoSOevtx/VlQbM3nbCzJTKq/ad6QmfeS6bnXstJa1QcIiIj25nOKCs+zHTJyaFxbdw+Ple9Z5gF13jSejtb2jerh/7efLTqiEtjgv+buOyQin/ue7/F40MW7LS4z10qFsiu4jKvW1/W9bwh+crsNAAAEIhI+CDDrNXxsWVShyoq7jvXsVkk3xiWX818vo7jA7PCPMlkqwZEmdf1Nr2l80X5pNV1mp8MNSSemZn+si53dPSy120NGZdieF+NRcwTribKwYs31O29b5omGEubXYgen/CwZwboIuMsOGsz/WoXi1axMZFrD+di8EvvI563zbRYcu8HLAudZ9SSAU1UbKNUmknydXk6s9MAAAD8EQkfZJi1Oj4D5263uq3xInf9Ecc6dbmzakKNcXq3K2OHK6NV+85J8l39VVcM8t3sHhHTpJSt92JUO714sysFc91VDwiWWk/Rz70GJfOYPFZr/GqTx4wJxhpjlpkkPfa96dvzMT3GWlAJV02Tj/N7693wjHW00tsPgtfJBP0cyZHFsoC+8fE0Q9tU9OiY7KGKDwAACET8aQ23+nnnmXS3SXLgq3tjzZPobOEujUnEtB22scOVkXHJ1+h21rfxtvbV9IK3dd5ZYfF414Z68spawVxHNTbUTpm9gaU07rT//HUVx/esr2LzJSLGx9rG/S6XDbVLfulT16ezzRzxWRe9Vk+zKevsbGnfyIf1n72O0zbY2RKBrO1Hv6v4+5frWTzedPJqk9tZwtyflq5VVK8bVHq49WVdOQzdHM0TmQAAAP6OhA9cYv4nuLuWYTw5Y5uKf37ZsraDM4w1UmwVBu38mT47JlRMEym+FPeUfhF94b8kq9vYK5jrKGPtlHG/HrSzJZzx83Z9NovxgjUxMdGkgPHvg/XZO0MW7JQ9Z/9Tt8c9WtHlNtTeYOyid9VK66Oy+fSaKfYKMht/9raeuOKewcHvXEtKUXG5AtEWj5v/W7KoXwO3j2GB4d+WOzam8HzXo5aK23y80e1jAAAA8CQSPnBJ60oFHN7WmZPtxm39YiA2xrWZDcYaKdYKg4qIbDx6WcV7/GzpTO6s+gwna1203n5UX+bQZIrrFySOzMCCY/rN1evVrBjQRMWV39ZnLxTLm02d4wu2nTCpW/J49Xulcz331S3xNONyLPMlOcsGNVHxByuYRYZU1v5daBv3u8V91pJC3mBMttpKugMAAPgrEj5wybQutSzuO3D+itVti+RxvlOXqyfoqJ92qzi7lToRIiLl3tALNRfLm83vls5sGqInqWZusOyiZUwIcEHiv9KSOpN+229SxDmtzfSB81dk8AI9oVexQA6Z/GR1r47RVd+9qM8Ue+hDy4v2NOnVQzEu47RWywWB7Ymp+lK9l63UVDPOcBMRKeVi0t+e+0tGq7jkMOvLugAAAAIVCR+4XdeZ26zeP+Gxyip+df5em883Xgz0b+7a0qpZm06qeOuwBywe33jooiSl6JefaRff/sQ8AWXtAthY3iKjy7oqFsih4lX7zmVoH9DVHrtMxV3qFFHxR6v12S1fPJe6ZC8xMVFaTdHP++hs4bJkQGMvjNK9jMXZjbP00hTKHaniBdssk5dp5vbSE0ePTst4m3f4pz9PXlGxeU014zLINCsHe27W5dc99YLituY2ViqUU8Xxfxzz2FgAAADcjYQPXGZex+fcNeuzTBqUyafi3w8lWN1GxPRioH/zjBdP3njooopDxDJxIiLS2dDu/I2HymX4tTztwyerqti8mKmIyJRO+uONJmXsAnnBS3rXtX5zd2RoH9AZ25O//Xjq51Nx5K/qvhyRYaruTcUx+mcaHiqy461WXhql+0Ua1nWZz/Zb2V+vwzJ0oeXyxDTG5TuXrbR5R/AyLoP0hYQEy3+b5r2oz2R96+e/vTkcAAAAl5DwgcucqeOT5pYX6sQ8Y0jmzH+prsXj3WZuVnGIiLzYuLTHx5RRj1TXZ4hYe+uMj2f0AtmYELueZDk7A46b9JtelDjX/7v8LN19WhKT9Q9vz+jWIiJS3GwZyeFxD3thhJ7zc1+921j7jzaZPGY8x1IoFZUpfb72sIqNswpFrM9O7GtlyZe7tSifR8W1399s8bjxvE2+S4N2AAAQOEj4wGXW6vhklHG6fOl8Ga/bkJiYaFInxLjUJM0awyyjvX5WqNmamrHRKrZW1NRYMJf2wb5lXLb1x9DUpYS9vtmh7hvasoyIiJQ11I8SETk+IbCTPSKms3OsJXbviYpQsXEWnjljRz2W0QSPCb8dULH5ssWG71vOTjRf8uUJn3fTk5S20jnh/LUEAAACEH/CwCNGLLQ+Ld98+Ze5N3/ep+Kfe1vOynFUrfFrVdz7AcsuR+VH6EtrCkdn9btCzdZ830evNWFe1FRE5LMuegv35h+sy9BrFI7OqmJbxbdhn/kshaioKGk4YaW6HR4q0rtpWak9dpncNtSP2hcASUdHRUXo/7RsO2a6RGZ5/0Yq7vrlVpv7+K6Hfj6zjCZ42JvZ9W+i6ezEyLD0/sXwDGvLuvo21WcaPTvjD28OBwAAIMNI+MAtzP8s/26bZeFNEZEihoSCten7xgkBriRhjEtnhrapaPLYtmMJJjMPNgxrluHX8bYshgsg86K3afVgRESu3LyTof1/+4L+TXeXz7bY2RK2GJONo9uVlwPnr8jpK7fUfYfHPSxPTN1gUuNnwUt1AyLp6Kil/fWZG51nmJ5HMbkdWx7DMprgYyw4b0wKiogMWWD5JcHyAU08PCJd+8r5VVzLyrIuYz25dYcveWVMAAAAriLhA7cwr+Njq0TP6EfuU/HQH02/tTcmgFz5ZrfNFP2C27xGhIhIh+n6H/MDXOwC5m0bhzRRsbGFdxpXl3XFGtofX6RYboYYk41dG5Yy6b7VrkpBGfXTbpPC5KPblbe65DCQGc8j4yymNMaLfXszyXw0wQMe8sgn+szDeS/WNnlsnpUvCWI92I7dXNwztdPfCAAAIMCQ8IFbOFrHxzgLZfm+C6aPfbBR398zNTI8ln3nr6vYvEZE7zmmLeNd6QLmC8bZESKWs6S+er6OiptMtqzzA88ynl+xebLJE1M3mDzeokIBmbXppLrdrkpB6dowsJKOjkorVi0ismrfOZPHfnhFn0n26MemhZ2Net6vL8fsOdv28i8EBuPMw0qxepLTOPMnTXkryXpvsrasK3fWcBVbGzMAAIC/IeEDj0nvD2Lzgq7Gdu7GxJAz3l2i1wAyXzIgIvLrnvMq3jY8MGumGLvW1HnXNKnToEw+FWe005axqC7Fn51jPL+WvlLPZCbP0j51TVpOl84XJR91rinBatXAB1Tcc86fJo8ZCzvfTLZd1MW4HHP53xdsbofAYj5xq+nk1RbbLDVL1nvDc3UKq9jasq55hrpyj06zLDANAADgb0j4wG3M/4h/Zobtb+49ZdrvejefbcNNLxjue3OpivPnjLSYLRMojF1rrCV1jHV+MvIt9OfP6rOrnvzc8qIH1hmXJoWIyH1j9IvYkrnDpPVU/b3MFRkmKwYFZsLRUcafL2tLPI3nqSOJRar4BLbOn+n/HvQyK6Rvawmwt415vJrdx42JyssseQUAAAGAhA/cxryOzz+GQrVG1spyvPHDbhW3rJDfyhbpM3YDChHToq97TibIjdt6cmTLG80z9Br+wthNq2+86eyJ+Bf0ZV2t49aKs4z1ZI6wbMFhD8fpy7calcxjkqA4elU/98JDRXaNbu3FkflOnuz6bLGft5vWaDGep82m2O4qlz2LvjSMGWeBa+PRyyo2ztxqG2e59HRoyzJeGVN6rC3rAgAACCQkfOA2jtbxKZg7UsVpNWjm/3VW3fdZ14wVz+xoKMb8TY86Jo+1NcyusNamPdAYO4st2mVaH8WYsEm0s1wG7mWcpbDOcHFr7vC4h70wGv+wfpDegn3APNMuTMbz9Oot213lZj+v/15pP837swbhWXvO/mdxX++mZX0wklQ9GxZRsbVlXbWLRav487WHvTEkAACADCPhA697q20FFY/45ZCIuL5cIzEx0WQfxlo2/b8znQFj3qY9UBl/eI2zm0REIsMd64Jki7H+kXlhaFiyNkvBmuMTMk+yR8R0lp2VZl0mXeVsnWfGxNBpG7MG4d9mbzii4rL5sqvYfNaXiEjWcN/+WfJ6u6p2H5/fu6GK3/3tgKeHAwAA4BISPnAr8+VaxiLKaVpX1gtjrth/UU4avuDNYygY7Iw6E/QL7m71Y00e+2mHPgMmUAs1WzPvJb2AaKfppt9Ef99TnyXV/iPnZ0VMeLyyirvO3p6B0WUu1mYpmAumc88ZhQwz+owX/iIikzvqF9dNpmwUBKexi/er+Mfe+uxLYxHzNMte9X6xZnv2n7W9rMtfag8BAADY4vcJn9u3b0vVqlVlzZo1vh4KHGBex2fmhuN2t7+ZfFc+3KuniZb1b2Rna9uuG+rzjGqvJyuqvKUXas6bPSJgCzVbY5z5YH7dYWx5bN4NzRGPVNeXNWw7ccXp52cmS3efTneb+B51gurcc8bK/g1UPGrRfpPHjOfZhf+SxJZSMfp7Z97iHf7P+CsobdaXrRldsTG+/zkZ3lLvhNg6znJZl48nIQEAADjM7/9smThxohw/ftzXw4CDzOv43La2jsNMsqafhhm5KH7kI73ga+l8+vMPnL8i1wxdrP4c2dLpffu7hwwJtvsnrDR5LJthWdaekxkvPkp3JPt6f7PD7uNDW5YxWWKY2RiXdVk7l6wVcTe3qI8+m61PPDPOAomx0LZxqWjD9y3bmlcqlNMrY0rPS03L2318aKtyKn5i6gY7WwIAAPhWuK8HYM/GjRulUKFCcs8999jcJikpSZKS9G+Gr127JiIiycnJkpwcuG1T08YeyMeQxtoxhIjlxV9YSMaOd9fpayr+tV8jtY9WU/Q/xJ+tU9in76WnPs8Pn6wqZfYsE5HUrmjG/X/fq460+egPERF5YvoW2TOqhVP7jggVSav57Oi4g+m8tcd4nPYSYg+WzSMv3F8iYN8Pd32exfNmk+OXboqIyJSle+WVZnpR3qGtSsuE31KL3zZ9f7X8ZmWWX0SEvtTz1p27bn8/M+N56y0tDfWtZnatpl7730TLMfzQp75bxubu4/x991mpX16fNdmtQTF559fU+j1/nrzis/OG8za4cJzBheMMLhxncAmG43Rm7CGapvnlF/g3btyQESNGyJQpU6R48eIya9YsadKkicV2o0aNktGjR1vcHx8fb/LNMryn/6ZQ0SePafJm1RTJa/ZRvLlV5OqdcElN+6Smfx4ukiItizr3Wr+eEFl6JkxEQiQiJEXer5d6OscfEtmcEPb/fd+VuPrBW2zhtc0it++mvpct702Rh4vpj/XflPYeaBJXP8XGHqwzvrfV7rkjz9v/0jtTsnYep/0/JjJFRtbw6fD8in4uWv482ntM3ybt94rz5zJ8x9rvINPfz2k/M/71e3rNKZEf/kkb4x2Jq2/6OOcjAADwlcTEROncubNcvXpVcuXKZXdbv034vPnmm/LKK69I/vz57SZ8rM3wKVq0qCQkJKR78P4sOTlZli9fLi1atDD5djsQ9Ju7Q37dc0HdLpYnq6wY8IDJNr/sPC0DFuw1ue/QWOeXXJUZuUzFO4c3Ukk+4/0r+zfyeV0IT36eiYmJUnW8vjzC+D5WHbNCtWb/9oUaUqtYjMXz7Ul7H0NF5IADn08gn7fOSDvO/pusT5LMniVMdoxs5uVRuZ87P0/jz6T5z7q9x9K88cNumffXWRER6VSjkLzzWGWr22VEZjtvvXmcaZ9tiIgc/P9na/y807zZpow8W7+EW17TXcdp77ysO36VXE68IyIiS/rWkzL5vf/3BudtcOE4gwvHGVw4zuASDMd57do1iYmJcSjh45dLupYuXSq1atWS/Pnzp7ttZGSkREZGWtwfERERsB+gUSAex7QutaX4sMXq9onLtyyO4bFaxS0SPs4ep3ldmty5c4uISPUx+h/p0dnCpVSh3E7t15M88XmmHXeaq4nJqhbS0v6N5YH3V4uISNcvt8vBd9pk6DXuinOfTyCet85a9o/1+0NFZO+Y1l4di6e54/OsVCin6mb2zpL9JsXVezQsJjM3nBARkac+3yLf92lo8fz3OtWQeX+l/l6Z/9dZea+T+6dPZYbzVsR7x/nsjD9U3LV+rERERMjJBOvFmrs/UNbq/a5w53GuOXhRWtx3r7r9Y5/71e/Wpz/fJjtHtXLL62QE521w4TiDC8cZXDjO4BLIx+nMuP2yaPOkSZOke/fuEhMTIzExMfLPP/9I+/bt5b333vP10OAhZfNnd/o5j0zVu6d88VxNERE5mZBoUhtix1u++yPcm8Y9WlHFDd9bo2LjzCZHCmibC3Okom4mtfiU9V+fRyc87OWRBIZf+uuz/GZtOmny2Mh2lVT858kr6e7LL6elwsK6w5dUnJbgazp5tcV2xmLO/mRKh/tU/OLXpsXCjb9br96647UxAQAAOMMv/8qKj4+XHTt2qP/uvfdemTFjhvTq1cvXQ4ODnDuxNJnfo7pTz0hMTDRpRd60YkEREfWNq4hIp1pFJLPoXE9fCpFkltjJGRmm4o2HLjq13/bV9G+0J/22386WmUtqS2nLbNhxkj0eFWnoh22rrTf82x0rZXp+H9zY+wNxwGO1ivt6CAAAAC7xy4RPvnz5pEiRIuq/sLAwyZcvX0DX5MlsHq5S0OR23ArLZEHe7GlT0TSnC2zXe1fv/JKW2Bm7aI/JNu91qOrUPgNdxQI5VNxxmt6hbPVAfWbFc19ucWqfk5/UE3HT1h5xYXTBpcGkjWKe8Nk2/EHfDCaA1C4WreKBc01nTLQz/M7oOXur1efHPVlFxY9M22x1G/iHBdtOqLjU/2fDtDV07DJKW4Lq75bvPWNy+/7SeVVs7d84AAAAX/PLhA8C30eda5rcnrrmmMU2f45sKYfGtsxQZ5ZrSXpXlLTETloNEBGR3wZY1gAJdksG6N+Sbz1xRcXGiylr3647ypXnBpsbt03fjC+eqxkwF62+NL+3/nO5cLvpxbPxd8ayvy+INa0rF1bx4YvM8PFnwxbqCfhFfeqKiKgaTkY1Y6O9NaQM+fxZPeltvqzr6xfqqfjDVSTEAQCA/wmIhM/x48etduhC4EhyY7bAOHulRN5sIiJSe6xeqDlHZJiUKxDtttcLJIYVL/Lz9lMqjs6m12dfuvu0U/ukjI+piiMXm9zu+2AptaQQQCrjr/yoqCiT30dG1gp0+xNjoWZ7UkiIAwAAPxQQCR8EJk+dXMbZK6tfayoJVxPl4g29UPOe0cHVIckZqwbqy4r6zd2p4o2v3a/iV77d4dQ+65SIVrFxmUZmVHL4YtFrgmtyX4HsMqhVeV8OKeA0K5dPxT3MlhjWNZxrIxbuFGsK5tK7Mm47lmB1G/hWwlV99lXW/2ehjb+P0gRiMvmHbcdNbmcxVLanrhQAAPA3JHzgMeZ1fIwXARk1bdVBFUf+/w/tWuP1Qs3tqmTumRbGzjEi+gWIsUaSs5OtvjQsaRj5076MDy6ATVt1UIoPWyx3Tephp8iPr/j37AR/NPP5OipeecC0iPjcl/T3c84W6zNCfnm5gYq7fbnNzaODO7T6cL2K5/SobTMR8o6hu6A/i+9WV8UDFuw1eWzcY3onr06fcz4CAAD/QsIHHmNex+epGa4XWX132SEVb3+jiby7xDQBYf6amVGPhsVU3GDiOhXrRbLF5vIKa4zJopvJmW/dwn1vLjU579LE1ffBYGBSK+n67RQ7W8JXLhlmXNYqESMN319vdTtjd0F/1qB8jM3HOtTSf99aq1EEAADgSyR84DWuFlk9cP6Kye2oqCiZ9rteDPqXPnUFIiPbVVLxlZt3VLxuUCMVD5hnfbkMdBsPXZTiwxbLDStJhUNjW/pgRMGjfTV9Jt6T0zeYPFY2X3YV0/kosKUtdvpXXwepZM8S5t3BuNH0VZyXAAAgMJDwgUe58wRr84F+YfjpM9Wk3rgV6nZURKhUirX9LWxmkz+HXuckrf21caZOimbxFLtK59Ofmxnqptw/YaV0nmm9hb2xaw8yJu4pfSbe5mNXTB5bNqiJij9YYb3zkbEO0KTfuPj2J8a6TM/UKWKzFtPaQQ94a0husfBF/QuF8ctMz8v8OakrBQAA/BMJH3iUeR0fVxiTFLVi75Fz15LU7X1jH3Lb6wSDLSOaq9jY/tp4YRL/xzFx1M+99YudHrP/dHF0/utkQqIUH7ZY/rlyy+rj5fJFOdy1B66zlZc01gGaupZ22P7EWJfp7cer2qzFZFyaFwhqlLL9hcKSV6grBQAA/BMJH3iUeU2dz9ceztB+qo/R2663r1ZQahsKNRu/7YfO2AEnbTncmgH6hcmIHx0vwGycHXT11h07WwauJ6dvkAfeX23z8RAR+W3QgzYfh3O61Y9Vcdu4300eK5RbT0ym1xmOdtj+62SC9WW8xm5sgWrK0j0qpq4UAADwVyR84FWTllsWv3WEsQZEyZjsJt/8G7/th+6bHvr70iYudTmcMXHDdXKqxMREKTFsscXSInPHJjzsnQFlEqPaV1axebHblf31xOTQhXvEmnD+9fI7xmLwsXmySdPJ1hOoxm5sgWRpf32mY9wa00RkILaYBwAAwY8/meFxxpPslrM9wUWk82ebVFw0OqtMMdT1WPAShZptaVBGn/lknAVRODqrip2ZcWVcDmbrm/tAM+qn3VJxzGqTBGL1IrktfjEeJ9njVSb1pmz8yhj5cHkVP/ax9S5Q8K6B8/V6PUtfqSfWft0HcmKkfCHby7paVyqg4rGLrCcpAQAAvI2EDzzO1To+G49etnp/1vBQqVWCQs32NCmjvz8PTlwlIiLL++n9xMf9esDhfS14SZ918eTnG90wOt8q+8YSmbXppMl9vw9+UMJCNJPZTxRp9py+D5ZScdr5meaeqAgVbzx0Ucx1bag/d/upqx4YHZxlTPB0+tx6LZuJHSpZvT8QjVukJ7imdaml4i832F+GCAAA4C0kfOBx5nV8EhMdnx0ye4M+myciVEyK6e5/m0LN6ZnVQ58BdezSTRExnT3hTLOu2Bj9eWevJtnZ0r8t2HZCig9bLLcNVcDz54yU4xMellMJibLtn2vqfoo0e9agVvosnbTzM83y/o1U3PXLrV4bEzLG+Hs9MizEYplemg61inlrSB6xbbD+O/WzDdYLUrNcFgAA+AsSPvC6DtMdv3h7a5HecjnZ8Ff0/aXzunNIQS0qQv8xn7bqoIiIlMibTd0XtyLztLWuMXaZDF5gutzi02eqyZY3UruadZ61Wd1PkWbvMC7xMSYNjIVwk+9aT03mMcwCCpZlhoGqyWR91l+PhnpB7lDDB5wzMsybQ/KImBjbs0ojw/SDdeaLDQAAAE8h4QOvMJ5of5+/7tBz7F3Aff1CPRdHlHlsG95Yxe8uSy2avfq1puq+D1Y43tY6l+GCLZAuaPacTJDiwxbL5Rt68e+s4aFyfMLD0rpyYRERKT5ssclzKNLsHaPa6bN8msWZLhU0JivTOs0Z/dhHnwX06FTq+PjShev6rL+pv+tLmoy5us1DH/DmkLxiyLw/VRz3VFUVPzJts7XNAQAAvIqED7zCWMfH0WVEtjq8xPegK5czjEu4RCwTNc4s6/q0i74873EnZmr5Upspa6XtVNOLr74PljJZEljSLNlDkWbvMdbiMV8q+MMrer2pRz/eJOaMywwvGzr5wT+Z/y4KVMZlXfP+OqfitOSxiMjhi4GTEAcAAMGLhA+8wryOjyOsdXiJDAsx6T4Fx4w2zKKoMW6tiIiUzZdd3ffukn0O7cf43u93cKaWryQmJkrxYYtln2GcIZKazDHWjmn/4VqKNPuY8R8iY0KyXIFoFd9MpjKKv+o9Ry/QHG64P192/VYwLcO1t6wLAADAn5DwgU/E/3HM7uM1xy6zev+Bd9p4YjhBzziL4tb/M2nLBjVR90373f7nEWj6xv8pFceYzhBrVi6fxTKtjfsTZOcZPSFUsUB2ijT7wHuGzk33TzJdmpXFUBcl4arlrImasdEqNhZ5h/f8uue8iu8Y7r94Q78VbMtwjbWnen/1h4qLRmdVsbXucgAAAN5EwgdeYzzZ3l5sv1DwpRuWyzPqloh274AymdL59OUUz874w86W9mUN9+9fG6VeXyyLdp0zuW/b8Adl5vOWSwHNizQvGdDEs4ODVcbOTeY/+/Ev6J9bsynrLJ77fZ+GKh6bzu8VeE+eKH12T4id7QLVVsOyrl/3XVLxb/30ZYgvfGW9NT0AAIC3+PeVG4JKu2p6HZ9EO8szus20Xuxy7ksNrd4Px6wwdJxadzj1AqVSoZzqvlE/7XZoP2+21ZdDdf7Msq6Kr0xbdVCKD1ssKYZTq1RMlByf8LBJx6c0FGn2L8Y8onEmT60S+vKZq7eM80csWVsGCs9auvu01ftvGX7Hxz1Z1eo2gczWsi5jnSJ7/84BAAB4AwkfeE3cU47V8VlzKMHivi+ec74GECwZL6pX7Tsnv/TXu+bM2nTSoX10rldCxZuOXnbb2Fxx35tLVQeyNAteqisrB1tvq06RZv/zmaEgeNPJv5s8ZjxvrXWHC+NfMp/p++1Oi/tCxDTZ8Uj1Il4ckfcYT7seM/XkdzDOaAIAAIGJP5PhM9Yu3KzV9gkPFWlasaDF/XDe4v76LKkeX/1pZ0vHONPhyxM2HrooxYctlhu3U9R9uSLD5PiEh01mhhi1jTMt0hzfra7V7eBdxp/xa0kpJo9N7qjPEGkyxbR1u4hIn8Z6jaoeX27xwOhgS/Jdy98CHWron2XurOEWjweLLYZlXSsP6cnvx6rrdcCGLLBMiAEAAHgLCR/4zDNf/GVx3+s/WnaLOjyO2RfuYux6lHaZZix6O3Dudof24w9lfO6fsFI6zzS9uB/drrzsGt3a5nPW7D0je87qRZqr3ptDGpSn446/iAjV50acTNATwsYZIhf+M23dLiImXddWHqBQrrdYS9qLiMw3tCrfNOR+bw3H62wt65r8pN7pb/62U94aDgAAgAU/uGxDZtLeUMdn+6mrJo8ZL/DSVC+S2+Njymw61dIvnmuOXWZS9Hbh9jMO7ePFRvqyLm9/g30yIbXd+j9Xbqn7wkNTl2UZu5FZ0+1rPaEVKiI/9WvsqWEiA759US/Q3DpurcljLJPxP83iLGdbGRPIIqY1bYJRmCF+8lPLouK+ngUJAAAyNxI+8Cp7dXyaTl5tcd8PrzTy5HAypfc66MtjrHVDc8TQNhVVvPAv732D3fmzTfLA+6bnyePV73VoFph5keaj1O3xO8ZleOYFb19/qJyKm71v+bsiRxb90tta+3a439mrlrOt7hqWeLWskN+bw/GJI4bfI5uPX1Nxtgj9zytbM6EAAAA8jYQP/IZ5h50Pg7Czi7/IExWh4lE/7ZYGJfOo233jnavt443OSImJiVJi2GLZaFYket+bD5osn7ClBEWaA0ZWw3rBA+evqPjFxqVVfMTKbMBZz9dScdtPLGeewPOyhIWYzNz8rGttH47Gt2Y+p5+PrT/+w4cjAQAAmRkJH/jULztTW/o2fHeNyf3hocHb2cUfrB+sz5yatemkxPesr24v2nXO2lMseOuXx9hFe6TimNUmSyOqF8ktxyc87NBykTZT1pg8lyLN/u2nvvq5+MhHm+xsaco4O+jcNcuZJ3Cv/t9ZJoa/664vyctMf1yEG9Ybtv8wdSligzL51H0nL9/09pAAAABEJHP9TQY/Yazj89rCvSIicuH6bZNtdo2w3k4b7hEVFWVSE8Va/aT0tKpUQMXTVh10w6gslXtjiczccMLkvt8GNHR4qd/yvWdk3/kb6jZFmv2fsbB4ktn0sR4Ni6n4iakbvDUkWPHTDsvE8DOztqp4xnO2l+8Gm8Pj9RmDO89ct7MlAACAd5HwgdcZ6/jcuSvyuVljrooFcgR9oU9/MO2ZaipuOnm1NCunfyPtSGvraV30JQtTVh5269h+3n5Kig9bLEkp+tyc/Dkj5fiEh00SAul5kSLNASnKUP9k27EEFY9sV0nFf568YvG80vn03xtLd5/2zOBgVbf6sXLTUHepacWCdrbOHErFcD4CAADfIuEDn9tzNczk9pIBXJR7Q+vKhVV8567IzOf15RjOtra+neK+XjQ1xi6TfnNNO399+kw12fJGc6f2Q5HmwLW0v/474OnP008+pvm5t75cr//cXW4dE3Sr9lnO7ikcnU3FxhphmUWk4Z+x5u+vEhGRRX04HwEAgG+R8IFfeb9DpfQ3gtvULRGt4tZT1tre0AsOnL8ixYctlsuGzmFZw0Pl+ISHTZJTjqBIc2CLNcyMSL5rmkxsV0WfOdJz9laTx4wzA82Xg8F9en3zl8ntvNkj5J1fD6jbxhphmcWBd/TfMYcTUmv2cD4CAABfI+EDn6hdNJfhll5NpkOtYpYbw2PmvtRQxfvPX5eHDHV5On+WfsHc6kVyq9iVJQttpqyVVlNMa7L0fqCE7H/7oQzsiyLNwSB31nAVG2eUfNRZXxK67O8LFs8LsbgH7mY+o+/PkS1NbrMkV8cfWQAAwJf4WwQ+Mf/l+y3u2/cmhZp9IdLQBrteiXtUbN4C3ZpvutdQ8cB5zi9ZSExMlOLDFsu+83qh0xBJnZEztE1Fp/dnXqS5VtFcFGkOUCsH6L8jes6x7AhlS8daene/gXO329kSGZGYaFrgPURE2sb9rm4bk8aZTbYIPd14/4QVIiLyXP1YdV/feMfPYwAAAHcg4QM/oMk92fhW2Fc2vKbXS3lr0X6nnmv8zBKTnVuy0Df+T6k4ZrXJfU3KxMgxF5ZfmRdpXmAlsYjAEJNbP7fMV8MYlyKOWGha7+m9DlVV/MP2Mx4ZW2bW6kPTmX/Tnqkme87+p982FHPPbP4e20bF/1xJEhGRUe0rq/t+2WVZ+wgAAMCTSPjAD2iy5fWW6W8GjzBeWIuIPFo5v4o7TvNM6+vSry+WRWYXP9uGPyizemR8+RVFmoNP3ux68d8F206o2LgUcc6WUzaf775S4kjzz5VbJrcrFtJnBYaxns4uzkcAAOBtJHzgM8cnPCyb+teQuPoUs/S1Ac1LqXjZfr0N9tYTV9J9brG8eneevScT7GwpMm3VQSk+bLHJjI0SebPJ8QkPWySenEGR5uC0bpBe/HfIgj0OPy+rYZmi+RIkuE/N2Ghp8YFe7P3zZ2va2TpzyJnFsET2neUiIpI9i97CK+Eq5yMAAPAeEj7wqZgY6qv4g/7Ny6vY2aVZ3/esp+Lu3+y0uV2lN5fKu8sOmdy34KW6svq1pk69nrlWk1ZTpDlIGZcMmp+V5QvkUHHcCtOliFM7V1dxu6mbPTK2zGjIAtOf7+/7NDTpPtW0YkHzp2Q6u8fohebP/XdbRERmP68vc2v7yUavjwkAAGReJHwAiIhIbB59ps69ObOo+JGP1tl9nnFmzuXEFIvHNx66KMWHLZbrt/XHckaGyfEJD0utEq4l/JbvPSMHLurfmFOkOfgUjs6q4s/XHlbx0gF67akPVhwxeY4x8XAkgRkV7jJvm758LiI0xCTRls+w/A6mjL/nzl1L8uFIAABAZkPCB4CIiPw+RJ9pc+b/30yLiOw6fS3D+3zgvVXSeeYWk/tGtysvu0e3zvA+jSjSHPyW96uv4nG/HrC6DbVRvG/lwCYyxZBoW2tYfpfZ5ckWruKaY37z4UgAAEBmR8IHgJLRoqvG4rqXEkUSrqe2Wz95+aa6Pzw0tbZO14alrO3CaRRpzhyMy7rMEzuFckeq2FjUWcR0ZtC2Y/ZrSyF9q3afNLkdG2Nac4sui7q/3mql4kuJd0REpKJhCaL5uQoAAOApJHwAKD/1tl7/puWkNXafF9+zjorf3hki9d9db/L449XvlcPj3JeQMU/2UKQ5uJUyJBcm/aYvI1rZv4GKhy40Ler8U299ZlDXL7d5cHSZQ/dvdqu4U9UYk98J7atRuyc9C16qreLXf9jrw5EAAIDMhIQPAKVSrPX6Nwcv3rD7vHIFolV8V8JMHtv35oMy+cnq4i7N319lcpsizcFv5eAHVfzRan0ZkXFWSYpZVWdjbakbty1rSyHj3nu6rsnvhLin6M5lLn8OfdZjlbeWmpyrt1NYhAgAALyDhA8AE+76tr5K4VxyfMLDbl3qsXzvGTmcoC8Tq1ucIs2Z3T1R+oX1xkMXTR7L4ApFmBk4Z5PJ7ZOGQtjh/BVh1ZYRLVV8LSk14ZjRJbMAAAAZxZ9qAEzY+rb+wYmrrN6f5v7Sef8f3ZUlfevJz33dX0DZWKQ5PERkbi+KNGcWVQrnUvGIhXp78OX99WLBXb/cavKcFhXyq/jdJfs8OLrgtnDPZRV/+GRVaTFljbr93YvMsHNUnyZ6/bJuMzf7cCQAACCzIOEDwEKuyDCL+45dumllS93XL9STQ2NbSlz9u1Imfy6722aEed2ew+Op25OZGBOIc7bo7cGNS7eS75oulfmsq1435bN1xzw4uuB10qyt/SPVi0iSYUmSseU4TBWN1ouK3zdyiQxqVV7dXnOIQuIAAMDzSPgAsPDH0Aes3p+YmGj1fk+jSDPsiYrQ/yk7cP6K1W0om5IxTSevNrltLJpdMFek+eYwWDesuYpvJHMCAgAA7yPhA8CCrbo7rT7cZPV+TzJfSra0P0tIMqu6JaJV3P+7P1X8wyt6R65HPzY9RyNC9cIpvkpYBrI7hmLYzcrlMymaverVBlaeAXuMsyfNZ08BAAC4GwkfAFZ9+GRVi/v+uXLLq2P4Ydtxk6VkdYvnkvKFWEKSWc19qaGKf9pxTsXGLnE3k03bdY1+pIKKn5r5p8Bxj3y0zuT2zOfrmNx2Z0H2YFU6JpuKy49YLPE9aqnbj01b74shAQCATISEDwCrHqlexOr93pwlMWDBXhVTpBn2RBpaICVc1c/RzvVKqHjX6WteHVOgM3+/jLPtOtWy/vsBplYMbqriW3dEKsXqCetLN5J9MSQAAJCJkPABYJOxM1KaJlM2euW1KdIMa1oaOm8ZOx1984I++6Tp5N+9OqZg9PP2Uya382aPMJlt914HyxmAAAAA8C8kfADYZK21+oX/kjz+uhRphi3GzlvGTkfGblHXklJMnpMne4SKbRV1hql+c3ea3P6wSyUVh/OXg1MqFsiu4jKvL5aasdHq9uwNR6w8AwAAwD34sw2AXVkMS2XSeHJZV+P3VprcpkgzHGVMRBjP0R97N1Lxk59uFthn7ee72+c7VPxjL34mnbFkQBMVJ98V+b6PXotq7OL9lk8AAABwExI+AOzaOKSJxX33T/JMsdEfth2XE5f1wtD3l4ymSDMsPF79XhV3nLZBxZM76suMjEsPY2P04sJXbt7x8OgCX8P3TX++w0NFku/qbcWNdWjgmjt3098GAAAgo0j4ALArJrdlJx5PFRs1L9L8dc+GdrZGZjX5yeoq3nriioqNhca9sfQwWP2baPrzXa/4PSouGp3V28MJCrWK6vXQSg9fzLI4AADgFfzJASBdvR8oYXGfu5d1UaQZ7mC5ADFV7WLRKv587WGvjCUQjVi40+K+9Uf/VfG6Yc28OZygseBlvR7aHU1kUPMy6rZxlhoAAIA7kfABkK6hbSpa3Ge+7MMVFGmGs3o0LKbiNlPWqvj1h8qpuNn7q1U8v7c+W+zd3w54eHSBa86WU+lvBJd1rJJHxcZZasD/2rvzuCjq/w/gr11OEREVEA/wFsVb8czbNBWP1NJKO8z0a95aGt6aZ5ZHWVlm9cssS80bVLzAVLxFJRRQRDxABEUugV34/P5AFnbZ5VzY3eH1fDys2ZnZ3c+bz87Mzns/BxERkT4x4UNEheJsZ6X2WLPbR3F1/4KDNFPRLRycM2tU8OMk1fL4Hg1Vy3ditbdC47gp2kVq+XtZ5vqW8EFn1zIsjfR0q2+vWu7wFQcPJyIiotLHhA8RFcq5ea/mWRf7vGTduvZcikDks5xBmvs0qspBmqnQdHXf0oXjpuSv97qTedal50qOLRnaogxLIz25xyTLBFDVxkL1OORxfNkXiIiIiCSPX3+JqNA0b7B7rTtVotfTHKT553GdS/R6VL7MeLWBarnHlydUy7m7e434Pmd8lKm9c/Z/d8u5Ui6d6cmv5ROTZfq3ZWQT1fJbP14wYEmIiEibmOep6LjCF40W+mJ6gBwxMTGGLhJRkfErHBEV2s7/qXe3SkzLKPZrcZBmKqnpr+bcMN+Le6Fazt3d63JkvNb9/70dV7qFMzFDNv6b7/a9E9nVUh8GuFdTLY/4vxuqZX11kSUiopKJT07Fez+fR8N5Puiw6jgeJ2afn+V4ZWOgIYtGVCxM+BBRoXnUy9vdStu4HwXhIM2kL7lbnel75rjy5PrDhHy3N3dlV0t92PReJ9WyMGA5iIgoR1KqEuN/u4jG833QetlxnAqLhTJT+1la8zsskbFjwoeIiqRfUye1xwO+KVq3rm6rj6k95iDNVBJLBue02um94axqeXBLZ9XyuF9zustUsjJTLZd0DCqp2H81/5m56lSrUEYlKX/a17ZVLX997JYBS0JEVL6kpioxbftVuC04hOZLjuDozRikZ2hP8lS0kCFr9LUsTPqQKWHCh4iKZPP77dUeJ6cXvlvX72fCcD8+TfWYgzRTSb3/Ss64PNEJOZ+tje+0Uy0fD3miWt4+zkO1PPDbnARReTbt72v5bvef3buMSlI+jGybk4y8+CBnhrmNJ+4YojhEROWGUqnEZ7uuoenCQ2iy5Aj2X3uEtFwD2JnL804H0bFOZQQu6ouvO6sPdMekD5kKo034+Pj4oGHDhqhatSqmTp0KpVJp6CIR0UsVLc3UHhd2hpmFB0JVyxZyDtJM+mGW6/tZQd26cndNiklMy2fP8oHd4MrempHttK7Pb9BsIiIqHqVSiaX7g+C+6DAaLjiCvy89wAtFzgnXTC5Dh7pVsOWtNnm6cX05rAn+/rir6vGZqa3VtjPpQ6bAKBM+sbGx+OOPP7B9+3Zs3LgRv/76KzZs2GDoYhHRSxe9uqs9fv3bgAKfo3lRDFvJcXtIP9aPbKVa7rr2tGq5Yz171fKC3fm3YimvXvnqdL7bP+5er4xKUn5xBjQiIv376sgtNF+cleT59ew9pORqkS6XAa1qV4bfpz1wZ+VANHWuiI/+uqr2/CtzOuPNjg3U1jk5OeHCLPWW7kz6kLEzyq8Zt2/fxpYtW9C+fXuMHj0akydPxsmTJw1dLCJ6ycbGRu1x7l9KtOEgzVSahrSprVp+mpwz29Hf/3tFtbztQs44NU2q54ybUtD4NVJX0OxQnw10L6OSlC/vdailWs7dsqeg2dLKm7pe3i+nQzZDdHS0oYtDREbuB//baL30COp6eePbk3eQlKae5GlaoxJ8Z3RD+CpP7JvSFXUdbNHji+P47Zz6d4GI1Z6oWrWq1vdwcnLC1jFM+pDpMDd0AbTp1KmT2uNatWohPj5e675paWlIS8tplp+QkDXTiEKhgEJhutOcZpfdlGMoDMZpupYPdsOCAyGqx4F3otC4RmUA6nF2X+On9rwDU9ua/N9BivWpjSnFaS7PuXGOevYcDrY2efbJjuPvD1uj1aqsli2zd13Hq2491bZLlWZ9Ltr3n2qbpQxI1xir0lIuM8m/iSl8bhcOboatFx7mWX/9YUKhy20KcZZEo4W+uR7J0O276/h3MuDs7KzzOaZM6vWZjXFKizHEue1cJL45eUfrDxgyAPUdbfDF8OZoVdtetT67vE0X+UKpce0LW9YvTzyacXZ2q4KVgxtjXq6hCup6eSNsWT89RGQ4xlCfZUEKcRal7DIhhNHPDPruu+9i5syZaNu2bZ5tS5YswdKlS/Os//PPP/O0QiAi/ZoeYIbsibEtZBn4qpP66cTvAbDnfvY+Ai0rZ2AcGwxQKQiJBb4Py/qsWcuV+OLl5G+rrwJRqeYABPrXzMCAOlnrcz67Al93LvzA41IyPUCOrIa+4uW/7OWsv8tnrTJQk5fRUjM9QAbADJp///L6ecx2IRr4427OtSXnM5m1PLdeBiSa8yGiQrrwGDhwX44EhQw55wcg63wBOFgJvN0gEw0r636NrHOwHNnXPEtk4MsiDi25+w7gH5PzfQLIwNccnpLKQEpKCt555x08f/4cdnZ2+e5r9Amfu3fvYv369fjmm2+0btfWwsfFxQWxsbEFBm/MFAoFjh49ir59+8LCwsLQxSk1jNO0eW48g9CYZNXj4EW91OLM/QuthRwIXmrav3xkk2p9ajK1OHN/3nL/ypa9XgYg9OX6xgt9kX3x0/zcSlXu+ox6rkCfr/Mfv8dUf6k0lc/tN743sfHf+3nW7x3fFs1cC5690FTiLIpXVp9ETLL6r5arhzSB1/5g5B6FwFQ/m/mRYn1qwzilpSzj9A2OxjLvELUZOXOraW+NxZ5N0LuJU4Gvpd6CEOhSrzJ++7Cjzv3zi3PS75dwNPSp6rEZgFsmeo7i59Z0JCQkwMHBoVAJH6Ps0pUtMzMTmzZtwpo1a3TuY2VlBSsrqzzrLSwsTLYCc5NKHAVhnKbJd1ZPtX7L1x49B4A8yR5AmoM0S60+dTGVOC3NZEjPyErjRD1XwNVBvXmKAFRxvN/ZFf8XEAkA+GxPMF61NZ04S8rCwgKvbcwZF2/ea42x8kio2j4NHGxM/m9h7PX5iWdLrQmfd7dew42l/Qv9OsYeZ2FpGwMjYrUnFAoFKjwJetkiLUujhb6SHQtOKvVZEMYpLaUV56nQGMzfE4T7z15o3V7dzgoLPJticKtaWrdrunD7KUZuUZ9o5MthTfIMzqyLtjh/+rAzhm70x7WHSQCADADNl/giZIXpnqP4uTV+RSm3UQ7anG3Dhg2YMWMGrK2tDV0UIiqEMT9fAZD3lxOpfjEn4/LnRx1Uy/2/9lct16ic86PArkv3AABLhrZQrTt443EZlM645B4oeMOJ23m2H/+0VxmWhnJLTCt/Xbp0JXty02zVw0FSiaTpQkQcen15EvW8vPHeLxfzJHscbC3xxfAWiFjtifPzXi10smfx3mt5kj3aZuIqjn1Te8DVPue7RloG0HbpkRK/LpE+GG3CZ926dXBzc0N6ejrCw8Pxyy+/4PbtvF9KiciwTuW6McwQwKKL6tsPT9fdRJZInzzq5XSDSck1c9zx6V1Uy5/tDsrzPKPu11wKhn9/VrXcpnZltb8Vla25/Up+o2HK1vgE5UnctKxpq/NHAs31TPoQSUPQw3j0W++Pel7eGPnDOdyNS1G7NtvbWGChZ1NErPbEpQV9MaqDa5Fev+vqY0Waias4Tnm9CjurnFvrpy+U6PnFcb29PlFxGWWXrm+++QaffPKJ2rqmTZviww8/NFCJiEgXzW4zz5VmquUB7tXQpEbBY1EQ6Yu1uRypL5uvBEXGormrg9oA/hm5chsVLOR48TLZkZJSpsU0qBtRSarlPVO65rlpntqrfCchytL/ejfBKt87edZ/4ROMzwZKe4R794Xe0JxUZ+/kdmjtkv+IzOdmtEOnDZdVj+t6ebMVKZEJuhOThOl/XUVwVAIytfzyYmdtjgnd6mNKn0Ylep+Gc73zzMRVWueM60sHwG2+N7IbakY8S8Wb3/+LnZO6lcr7ERWGUbbwmTZtGoQQav+Cg4MNXSwi0mFkq9xJnazZEizlwKb3OhmmQFRu7ZuaMz3GiB8vqJar2OT0dT4b9gQA8N3bbVTrvrpZBoUzApdjcpYt5DIMXO+fZ59PXmtShiUibTb/e9fQRShVdb3yJnsiVnsWmOwBsqZlPzejXZ7XIyLjFxX/AsO/P4MGc33QZ50/gh6pJ3tsrcwwsXt9RKz2xPUlr5U42VPXSz3ZY2spL/UEccgKT7Ub7IuRCZi27YLO/YlKm1EmfIjItKx5O3e3rawra6gEB2km4+dW3V61nJaR8y3v6PSuquX3f83qd9jbPefmMi7dDFO2X8WuS/eQIuHmPlvv5Fz2j8/qieDHSWrbrcxkmk+hUrZscOM86zIk2s8wOjo6T3LGQlb0X9uZ9CEyHTHPU/HW5gA0nOeDzqtP4EpkPDJyTRJtY2mG9zq74vby1xC0tD+8BjbVy/tqnhO6NqiCoM8H6OW1CxKucU7bH/QEqw5cL5P3JtJklF26iMj0WJoB6RkAIBC27DVDF4fKsYqWZkjO+jDi0t1YeNRzgEPlnG5dCm1txyHDkeAnOBL8BJ8W4b3M5ICFXI6KVmaobmuF5i72eL1VTXRp5FiyIEpBViIrJ6Gj2R0TAI7O7Flm5aEs777SCAsPhOZZn5KSotYd0dRN+L9z8L0Vp7ZuSAsnfDO6fbFez9nZGXsnt8Pr37F7F5GxiU9OxYy/r+PM7Vit11xrczkGt66JVa83g7m5fm9HSzoTl75ErPZUSzr9eOY+6jvaYlSn+mVaDiImfIhIL0JXZE2f6+PjY+iiUDl3aFp3dP8qa9rxt346j9svW5vZWMhVAxSHPI6HW3V7DG3tjH2B0chqmVb01i0ZmUBGZiZSlZmIS1Yg+HESdlx6UPATX5IhK2lkaSaHXQUL1LKvgA51q+D1djXVWivpQ48NAciO8YPOrvj62K08+2hLApFhDPvhAo7M6mnoYuhFfS9vaA4Nfm5GOzg7F9yFKz+tXZzxy1vt8OFfTPoQGVpqqhLTdgTCLyQG6VqaKVqay9G3qRPWjmgFa+vSuQX12nkVf11+pLbuypzOeh2cuSg0kz6f7b2JGra26N7cySDlofKJCR8iIpKU3EmL3NOPH57eQ5UIev3bANxcNgBfv9UOX43ISlT27NkT3jef4vjNJwiPTcLTZAVeKDKgyBClNpOXeFlGZWYmUhRpiE5Iw+XIeGw6VfgxXLKTRhUszFCloiXqVLVBl/pV8Wa72motm+Jf5Ez3vWRoC9TXaO7epLptScOhYlr/RjPM3PWf2rqQmGQDlUa/CjPlekn0bu2M9RktMHPnDbX3ZNKHqPQplUpsDQPmLD2GNGXeGR8tzGTo3sgBX7/VFrallOTJ1nX1MTyIT1NbZwznAc2kz3vbLuLCrPZwcmLSh8oGEz5ERCQ59hXMEf9CCQA4fOMh+reopZYIeqFlKnIbGxu806ky3ulUr9jvGxmbgj2BkTgf/gz3nqbgeYoCqcoMZGSW3vTv2UmjxLQMJKa9QOTTF/j3dhy+8A3Tun9Vm6xLv+Zf4PDMHqVUQirIMI+6eRI+pi7wfrRadysAsLOS4/pS/Y+hMaydK6Lik7HmaLhqHZM+RKUnNVWJ1384i1vRici6ncy5opjLZehYvyq+fqs1HGyty6Q8DeZ65xn7zJiOf82kT4d1TPpQ2WHCh4iIJOfs7G5w/zyrNc+U7YG43aIWgKxBibMHc459nqLWAkYfXB1sMP3Vks1yFRQZi11Xo3Dt/nM8jE9FUpoC6RmZekoaCZyf2xshj+NL/EpU+s6GPTHK8aAK0m/tSYQ+UR/8fE7f+pjURz+DsWozqU9TPE5Iw2/nH6rWMelDpH/j/u8Cjt96kmuNgJlMhjauVbDx7TaoYV+hTMuj2YqwkpUZbiztX6ZlKAxtSR+en6gsMOFDRESSk3uw29ytzP/4qAPe+PE8AKD3ulO4boRfCpu7OqC5q0Oxn5+SkoJTd57h0H/RCIlKQkxSGpLTMpCRmYkO1bK6dY347pzacz7rV7Kpb6nkfnq3Dcb/flVt3UdbLyF4WdnMKqMvpd2FKz9Lh7XGsxQF9t+IUSsPb6qISm6ldzB++veu2g8PdtbmmNgoFeNHDoSFhUWZl0nbTFzbxncp83IUlmbSh+cnKgtM+BARkSQ5VrTAk2QFAGDXpXt4w6MOPOrlJFIS0jJ0PdWk2djYoH8LG/R/2aopW+5B1ZPS1WP/uHfeqcGpbPVtVhOAesInRUvXQ2NmyGRPtm9Gt8eTH08j4O5z1TreVBEV398XIjF/bxCUuWbbsjSX49t32qBXo2oGmazDWGbiKg4mfaisyQ1dACIiotLg/0lX1fKcXUGqZfNcV76sqcrLN2tzfhWgkvn99O08yR6XylYGu4nZ/r+uaFlTfRDyelqSUUSk24WIOLgvOozPdt9QJXvkMmDOa24IXT4A/dxLNstecXntvJon2XNlTmeTSPZk0zw3akuWE+kLv+UREZEk5e7WlbudxLo3W6mWe64/W4YlMg7Dv1eP2XcGB2s2Fn9+0DHPugW7rxmgJIXXdulhLDwYorbul7fa4d+5rxqoRFn2T+uBelVzBowVABrN5U0VUUGi4l+g/fKjGPnDOaTkag06om0thK/yxKReDQ1Wts4rj+aZdj1itafBpl0viQuz2qs9ZtKHSgsTPkREJFku9jk3fD/53wYADGlTW7UuJjEtz3Ok7kZUktrj3LOXkWF1aZJ37KY/LjwwQEkKp66XN56+UO8eGLHaE71bG+aXf00n5/SBg03O6AUKATSZz5sqIm1SU5Xot94fnVefwJOkdNV6jzpVcHv5a1g7srXhCoesmbiiEtLV1plyVygnJyccnMqkD5U+JnyIiEiyjkzrrFpeeSinFYIs1z7luVtXy1p2hi4CFaDkM7PpX3R0tFGM11MYlxa9BjurnK+7qRlAy8WHDFgiIuMz9tcLaLLkCEIf5/wg4Fq1AgIX9sGuj7vA3Nyww77W9VKfdr2SlZlRnm+KqnktJ2wdw6QPlS4mfIiISLJyd+vKfeM8b4CbannYT1fKsESG5Xtf/fH+qd0MUxDS6fD0vN26jCkpuXhPIDptuKy2rnO9ykZ983V96QBYm+U8TkjLhMfnRwxXICIjsXR/EOp5eeNkSM406/YVLHB8Vg+cmtMb9hWt83l22dBMgPRsXMUop10vru7NnbBggHo3OSZ9SJ+Y8CEiIklr6JiT9Fl75BYAYHyPnC9X4bHGczNd2rwf8LJv7JrUyNuty/O7cwYoSV5u873x2/mHauvOzWiH7f/rquMZxuPWCk9Y5GraF5uiRK81xw1XICID+vN8JBrO88GvZ++pfgyxMpfj5/faIXBxPzRwss33+WXhwu2neRIfXw5rgv/70HinXS+uj3q44b0ONdXWMelD+sJvfkREJGnHPumlWt548o4BS2IMcu54lw5uYsByUFHcjXth6CKgrpc30tSH60HEak84OxvHeD2FEbbKU607592nqRjyjb/BykNU1s7fiUPThYcwb4/6zFvzBzZByPIB6GOgmbc0SWEmrqL6fHgbvNakmtq6Bkz6kB4w4UNEROXSuFfqqJbXXzdgQcpIpEZLpvdfke4XZ1OnrVuXoWgbr8dSbpzj9RTGXY1yX3+UhLd/PG2g0hCVjftPk9Bu2VGM+ukcXihy5q0c5VEb4as8Mb678VwPpDQTV1H9+EEnNK+R07oqA0DTBUz6UMkYdgQuIiKiMtCmdmVcffAcQNY018uHt8LCwc3x85l7AICIZDM0XugLMzlgaSaHtaUZqlSwQHU7azStUQmvNHBAp7p2amMCmZpB352B+nDVZKy0des6ERyN3mX86/vbP55GwN3nautGtnXGmpHtyrQc+hax2lMtiRVw9zmm/XER34xun8+ziExPaqoSg78/g7AY9dkZO9Wvim0ftjf4YMyaGsxVH5wZMN3kcnEdnN4DnVceVc1I9kIJtF16BFcWv2bgkpGpMq6jnIiIqBTsmdJVdYO37cIDLB/eSmMPGQQAZSagzMxEiiITT5MVuBObgrPhT1WJoeKQATCTA+ZyOawt5KhkZQ4nO2vUqWaDLg2qomcjRzhULv1E0gtlzrfoS3N75bMnGaNJf17FreUDyuz96nl555kh7NyMdibVhSs/mkmf/TdiUGVPIJYOa224QhHp0Xs/n8epsFi1dXWr2eDg1G6wtTa+W0DNloSVrcxwTUKDMxdFwLy+aLn4EBLSslpjPX2hRJ8vT+D47N4GLhmZIuM72omIiMrIN6NaYdrf15A1h1fptH7JnUhKVWYi/oUS9+NTcTkyHruvPirw+brIkDX2grlcBgtzOWytzFG1ggXqOFZEy5p26N3MCW7V7bU+tywSTFQylz7tCI+vzqsepyoz89lbv0xlyvWS0kz6/Hb+IarbWWFSn6YGLBVRySzefwNbz0aqJWztbSzwz8QuRjEYszbaZuKS4uDMRXF96QA0nu+N9Jdjp92Je4HRP5zBHxNfMWzByOQw4UNEROVCl/pVcTb8KQBg6p+XsfGddhjSpjYGNK8OHx8fDBw4EBYWFnmeF/I4Hif+i8H1Rwm49yQZT18okJSmhEKZCWWmQKZAnpYQZUEAyBBARoZAWkYGktIyEJ2QhuDHSTgU9Bhf+IZpfZ5TRV76TYGDQ95uXaXtRGA0PvxLfcp1e2s5ApeUXcuisqaZ9FlzNBw17CtiWDtXA5aKqOi2BURg8YFgZGTmXJGszOX4cUw79GziZMCS6Xbh9tM8gzN/91YLeLbm8QcAoSs8Ud/LG9np/jMR8Zjz92WsGWXa3WqpbPFbHxERlQt/TuisurE7cD0aG98p3PPcqtvrbClTErHPU+AX9gRn7zzFvbgUPElKQ8ILBVIVmVBmZiIjszQSSQJnvNgk3FRN/+syvn6rdL7o91pzHHefpqqtWzbIDe92bVgq72dMNJM+M3feQGUzS/RuLY3uayRtZ28/wbjfLqkNxmwmk2HewCYY162+AUuWP6+dV/MMznxlTudyMThzUYRrnJ92XI1GrSrBmN7P3YClIlPChA8REZEBOFS2wRsedfCGR52Cd9Zi2YEgbA2IhCKz8GmhNvYZBe9ERkOzW9f+wGh8/Zb+36e8dOHKj2bS58O/LmNvtXZo7cKkDxmn+0+TMPS7s3iarFBbP7qDK1YMb2GgUhVOpxVHEZ2YrrauvJ1zikLz/LT+xF00rG4Hz1a1DVgqMhVM+BARUbkxoHl1HAp6DAD44Ofz+L9xxjP9dX5in6fgrS3ncftJSsE7v2RjIccCzyZ4p1M9AIBCoYCPj09pFZFKgWa3rtLoOshkTw7Nm6rXv7ssqYGqSRqSUpUY+u1p3IlNVlvfpUE1bB3rYXQzb2lq4OUNzZ8eyus5pyg0z0+Tt19DHQdLNK9lnN31yHgY9xmBiIhIjzaN8VB9YfLTmL3EmOy6dA+L9gUjRVH4gXobONjg7/EdOSCzxMignuiJfZ6ilzr+/vhNrDkarrausaMNfD8p3zO4ad5UddrApA8ZB6VSiff/7xLO3I5TW1/PoSIOTOlqlDNvadJMMNtbmyFwSfmcias4NM9PgzZexIVZ7eHkxKQP6Wb8ZwYiIiKJ++Dl9LmFTe+Yy4ExHV2xZKhxN9unkruo0a1r6KYAnPHqU6LXzD3db7a9k9l9KRuTPmRsFuy5gW3nI9XWVbWxwO5JXVDXwThn3tJkKjNxRcQl4LOdQbj28DlS1X50McOsc75YPbwF3mxvuEGlNc9PHdYx6UP5Y8KHiIjKlZEetbHj0gMAwIjvz+Cv8R3K9P2DImMx9rcreKIx7kJ+qlW0wI9j2sKjXtnP3ESGpdmt62F8qo49C4dduApHW9KHfycqa7+eDsdyn1tqM29Zm8ux+b126N7YNG7w/UOi8f6v6rP/GcNMXPGJqZi9+wbO3olFSnpmIbrMypAhgNn/3MDsf27Aztoc+6d2Rt1qdmVQWnXakj48P5EuTPgQEVG5suaNVqqEz+XI+FJ/v6IOriwH8ErDavjxnZawsWH3LMr6TBS+c5920dHR6LRB/aZLjqwZYEg7zZuqul7evKmiMnEqNAYTtl5GqjLXzFtyGRYNaoL3uxjvzFuaZv11CbsDH6utK+uZuFJTUzF/700cvRWDxFRlkcdCkwGwtTJDYpoCWWfNLAmpSvT88l8AQPMalXBwene9lbkweH6iwmLCh4iISE+KO7jy50Pdiz1bF0nfBc3Zuq4+wIDm1Qv9/Dk7LmPHlWi1dT0aVsFvHxlfdwoASE9Px8aT4dh/LQqPE1JhZy5D997pqGJhUeZl4U0VlaWI2CQM+/4snqXktACVARjd0RXLh5lWF96ynokrNTUVa4/dwT9XHuJZiqJYiR0bSzm6NnTAF8NawL6StWpb9qQHvXv3xKBNl3Dvqfo1PigqEXW9vCEDMPYVVywaXDZ1xfMTFQYTPkREVO583L0eNp26CwDw3HgGkxsU73WKM7hyQ0cb/PURB1emwtPs1jV713UMaN63UM9tNNcbCo07H2MZj+ZpUjpWHbqJf8OeIDYpHUodreBSlWZos8IP5nIZlgxqijFd6pVpOXlTRaUtKVWJwRv/xd049URC10YO2GYis0nmVt/LO0+rRH0eM5v9b+PnM3fxJDEdhWw8q6aChRytXeyxakSzInXJsra2hv+crIHtgx/G440fAtSu/wLAL2ci8cuZSFiayfDjmLbo1bR0z7UXZrVHh3UXVY95fiJNTPgQEVG589lAd1XCJzQmGShkwoeDK5OhmMsA5csbm7SMwt3hGMt4PWHRiVhz5BYu3XuGhFSl2ngkhSMAyKDMFFiwPxgL9gfDvUYl7P24EywtLUujyHmcm9FOrUscb6pIH5RKJd795SICwp+qrW/oWBEHJ3eFtQnMvKVJnzNx7b16H2t9w/Ao/gUKedpTY2UmQ5Madlg1rDnca9kXqwy6uNeyR/CyAQCAb0+EYt3RMLXkU3qGwNjfss4ZjraWODq9m1qrIX1xcnJi0ofyZXpnESIiIj3QnO5aU3EHV/7t/bZo7srBlUm/bq/y1JrA0UbbeD3WZsCtFaV7A+Af8hjfnryDW1EJSErLKHKXCjO5DFVsLNCpfjV82rcx6jraQqFQ4Js/ffDLHSskp2eo9g2OSkTjRUdhZS7HupEt4dmyln6D0eDs7MykD+nV3H+uYfvFB2rrqlW0xN7JneFS1TRm3srt6dOnaLsmQG1dvyYO2PxBwS2UToc9xpIDt3AvNglFaDCrYmEG1Klmi/kD3Eq9RY02U3o3xpTejQEAozcH4IxGAu9JUjparzgOAHilflX8MaGzXt/fyckJB6e2x6CNTPpQXkz4EBFRuTSnXyN84RsGAPj8MnANwdh6/gGUhfyymT248u8fdSq9QhLpMPGPyxhSJe/6Ed/+i8sPEtTWvd+xFpYOa6239/77YiR+OxuBu7EpSFUUPbFjYSaDYyUr9G3qhNmvusG2Yv6tdBraA4EL+8DCwgJvbz6HgPA41bY0ZSYm/xmIyX8Gon3dKvjjQ49Sa/XDpA/pw8//hmOlzy1kiJwjp4KFHD+/74EuDR0NWLLi+zc0Bh/+Hqi2TttMXMEP4+G1+wZCohML3VIxNzMZUKtKBczq2wivt3EpSZFLTXYyJz4xFf2++RcxGuMYnQl/irpe3pDLAK/+bpjQo6Fe3rd5LSd893YrTN5+TbWO5ycCmPAhIqJy6uPejVUJn7h0M/wS8CDf/Tm4MhmahRyqX7+P34rDEI0fifXZhSs9PR3f+9/F3quP8Oj5C6QX4+bMylwOlyoVMKJdLYzrUkcviZjtE7ISrEeCHmHaX9eQlitDezHiGRovOgobSzNsfrcdujbS/82zs7Mz9k5uh9e/Y9KHisbvVgz+t+2y2mfWTC7D0sHuGNO5ruEKVkK/3wIuBQSqrds/oQ1WHbuHT/75D6nFaLIjlwFOlSwxoVsDfNjNdGYly82+kjUuzM8aa+3kzWhM3HZFLcmVKYCVh0Kw8lAIbCzk2DWxc4m7nXm2qo2o+GQsP3RbtY7nJ2LCh4iIyi0zGV6OCyDLs42DK5OxCVupu1tXcZM9T5PSsebITfiHPMGTfAZO1kUGoIKlGRo62uKjrvUwpE3pdq3K9lrzmghZXhPp6ekY8cN53HiU06opJT0DY36+AADo29QJP73fXq/v3drFGevfbIGZO2+o1vGminS5E5OEET+cRbzGzFsfdKmDxUOaG65getBuqS8SlGZ51g/ZfLVQz5fLgCo2Fhjp4YLPBjTVd/GMRq+mzghZMRAA8PmBG/j1TKRay8gURSYGbjwDAKhT1QZHpnWGtXXxxvv5qIcbIuNSsPXCI9W6el7euMvzU7nFhA8REZVbNxb2QvPPTwLIwOgOrlg2vLWhi0RUaHEpwMlr0Ziw67raegcbc1xa9JraurDoRHzlG4JL954h/oWiyAMnywHYWpujea3KmN6nITrWN45xqiwtLXFgWjcAwPbz97Bo/39Q5PoV/ejNGNT18oadtTn+mtAR7jXt9fK+w9q5IulFOhYeDFGtY9KHcktVAn3W/4vIpy/U1vds7Ij/+7BDsV83OjoaW6/E4vTtODyKT0VSmhLpGSj0ZAL6l/cHE2172Fmb4zX36vh8SJNiJzOkYNHgFqpp2wd9fQpBUYlq2+89TUGTJcchAzC0VU1seLtNkd/j8+FtcP/ZC5wMewYga7zCRvO8EbaS56fyiAkfIiIqt2xsbBCyrB98fHwwcGAzQxeHqEg+vyYDrqknez7uVgdXHiSgxZLDSEot/sDJHetVxex+bqjraDqDx77dsQ7e7lgHScnpGLLpLMJjk1XbElKVGPjNGcgADG9TC2tHtS7x+73btSGiElLx/al7qnVM+pg+pVKJw1cewftWFMJjUhCXkoaktAwoMoCMgp+eixmAF3nW+oU+KfQA7KYhaxY9vPyvjaUcXRs64IthLUplViopOTi9OwAgIi4BQzcG4HmqUrVNANh77RH2XnsEcxnw1ciWRRq36NdxXfDaupMIiUkBkNUd2H2hD4KXDdRrDGT8mPAhIiIiMhERq3N365Ln2b7p33t51mljLpfByc4KfZo4YearbqhqWzbTm5cF24qWOPFpTwDAJr8wrPUNU3VVEwD+ufoQ/1x9iGoVLbFvcmfULsGMSHMGNkdsUhp2XIlWrWPSR7dWS32RogSmB/gauihloOCWL6bOEsA4lwzMmjAQFhYWhi6OyapbzQ7XlmS1ytx5MRJeu2+oTUOvFMCMv69jxt/XUbmCBY5M7w5n+4KTaUdm9ULH5b54nJTVnTBFIeCx7AguLXytgGeSlDDhQ0RERGSSCr6htDKXo5Z9BQxrWxP/61q31GawMlYf92yEj3s2wtOkdAz69l88ik9VbYtLTkfXNf6QAxjXtS7mDypeK781I9shPuUcfG/lzB7GpE+Wel7eWlqZlZfbj5yWL/ogB2BpBthamaOmvTW6NqyG99o6wNm59KYhVyozsfrILfx2NkLVVVIGoK97dax5oyUqWsjg4+NTau9fHr3Z3hVvts+a3WzqH5dx8Ea02jH0/IUCnVZnTfHespYd9k/tlu/rnV/QD80X+iBJkfUqsclKvLbuJI7M6lUq5SfjU17OuERERESSYG0GpGYA2TeU2QMnN3CoiA9fqYth7YxzumJDqmpribNefQAAKw7+h5/PRCB7GKNMAD+djsBPpyNQo7IVvKd2L3KLp80fdMKIb//F5Qc5g0eXt6RPZGQkun9/o+AdjZg5AAvzrPFmnCpZobGTLfo0cMbADrWL9DoKheJlV2HTbPmSmZmJDcfCsPlUOFJfziomA9CtsQO+eqMVnOyyWpcoFIp8XoVKauPodtgIIDU1Fa99E4B7T1PUtl9/mIC6Xt6QAfgon6R10LKBaDTPWzXLY0hMCkb/cAZ/THyldAMgo8CEDxEREZEJubXC0+RvKA1p/qBmmD+oGR48TcLQ7wIQl5yu2hb1PA1tlx+FmVyGT/tltQ4qrH+mdMOA9Sdx83HOTVkDL2/ckWjSpzgJHmdbMzS2VeB8rLna9OR1qtlg0SB39GlaXd/FpCLIzMzE5lN38c2JMKSk54xY1KFeVawf1Qq17DlrpSFYW1vDf05Wi5zgh/F444cApOSa7l4gJ2ltZSbDzx+0Q9dG6sdS2EpP1PfyVg3ufSYiHnP+vow1o9qVURRkKEz4EBEREVG5U7uqLS4v7AsA+OTvQOy++lDVdSIjU+CLw6H44nAo6lWriAOTusC2YsGtfg7N7IUuK47iUWJWEikDQKO53ghbZfpJn+IkeNwcK+DIJ71Vj7MTlT993Bs/nYnE5lPhSEhV4l5cCsb9dgmOlaww89XGeKejq76LTwXYGhCBL4+EIDHXwMGtXCpj3cjWaGBCg7dLnXstewQvGwAA+PZEKNYdDUPuSRfTMgTG/HwJAFDdzhJHpnZTDZ4drjYGHLDjajRqVQnG9H7uZRcAlTkmfIiIiIioXFs7qjXWjmqN4EfxeGvzeSTkuum9G5eM5suOwsJMhs+HNMPbHevk+1pn5/dF26WH8fRFVgsJhQDcF3ojeJlpJX1O34nEmJ+KluDpUtcefxaim4hcLseU3o0wpXcj7Lh0H2uPhOBxYhqeJKZh3p4bWHXoJsZ1rYdpvRtCLs87ODnpzz+X72O59008S8npntW0RiWsHdkK7jUqG7BkVJApvRtjSu/GAIDRmwNwJvyp2vbHCelovSJrvJ9uDavh9486aQz8D6w/cRcNq9vBs1XRui2S6WDCh4iIiIgIgHtNe1x/OVvO+N8u4ujNGNU2RYbA3D1BmLsnCC1q2uGfiR11DoJ9ZXF/uC/0RvY9dIoCaL3kEAKXDCj1GIpr/7lITNtbtATP4GaO2PhuhxK970gPF4z0cIFfSAyWHgjG3dhkJKYqseFYGDb53cGb7WpjgWdTWFvytkWfDgVFYfG+/xCTmKZa18DRFl+92RJtXKsYsGRUHH9M6AwAiE9MRd+v/8WTpHS17f/ejkNdL2/IZcC8AW5YeShEtW3y9muo42AJNyfWuxTxzElEREREpOGn99sDAE6HPcGE3y+rjWly41ECGi86CitzOb55qxVea14zz/ODl3mi8TxvpL8cNCM+NRNdVhzF2fl9y6T8Bfn6cDDW+90t0nM+6lwbC4a2KpXy9HRzQk83J1x/EI8Fe4Nw/cFzpCkzse18JLZfvI/XmlXH8qEtijygNqnzC4nBvD1BeBT/QrXOtWoFrB7eEl0aOhiwZKQP9pWscXFB1jnm5M1o/G/bFaTnmuM9U0At2ZNt0MaLODO1dVkVk8oQEz5ERERERDp0beSI4M/7AwBG/XgW5+8+U21LU2bif9uuAriKzvWrYfuETmrPDV3piQZe3shOFT1KTEe/tSfh+0nZT4m8fN81bAl4UKTnLHytMcb1KvzA1frQsrY99k/pivtxKZi39wZOh8UiI1PA50Y0Dt2IRucG1bBqeAvUqVaxTMtl6s6Hx2HOP9dxLy5nUPEala2x/PXmHCxbono1dUboioEAgCX7buC3gEi1Kd41vbIxEPMblE3ZqOww4UNEREREVAh//68LAMD7+kPM2nFdbaapgPCsLhMVLc3wywce6Fg/q7XEHY0xM0KfpGDEt//inyndSrWsU3+/gAP/PSnSc755vQWGdDKOAZNdqtng93EdEZ+SjoX7guBzIxoZmQJn78Shx5d+aFbTDstfb87uRwW4dv8ZPt15HWExSap1DraWWDTYHUNa1TJgyagsLRnaAkuGtgAADPz6FIKjErXut+KOGVYs9EWERGcXLI+Y8CEiIiIiKgLPlrXg2bIW0tPTMeyHc/jvUc7NU3J6BkZtPg8AeM29On58zyPPQKmXHyTg/S1n8dtHXfRWptE/nsGZu/FFes628S3QtYFxJHh0sbexxMa32+LLEUqsOhyCvy5EIk2Zif8eJWDY92c5pbsOoY8TMfPvQPz3KEG1zt7GAnMHNMGo9sZd51S6fKZ3BwBExCVg6MYAPM81SD0gAwC189WpSS3g6srPjKliwoeIiIiIqBgsLS3hPS3r5mnb2btYcvAmlLnmSD4S/Bh1vbxhV8EcR2d0R98Np1Tb/G8/w5wdl7FmZLtivfdra08g5MmLgnfMxZRv3KwtzbF0SDMsHtQU3/vd4ZTuOtyLS8bMvwNxJTJetc7Wyhyz+jbGh13rGa5gZHTqVrPDtZeD1O+8GInZ/9wAIJCd9MnW/fsbALIGdDemVoBUOEz4EBERERGV0Jgu9TCmSz0kJadj0HdnEPE0Z6yUhBdK9N1wCjJAbQyNHVei4WAbhJl93Qp8/c4rjiAqUVngfrmZcoJHl9xTuv99MRJrfUMRwyndERX/ArN2XENAeJxqXQULM0zp3RAf96hfrv4WVHRvtnfF661rwMfHB+tvVUTEszSt+03be0M1m99bbWtg9ci2ZVlMKgYmfIiIiIiI9MS2oiX85mQNyrzxRCg2HLuNjJetfrQNmPr9qXtwqmgBzZFoWi/xQXxqfkOs5iXFBE9+RrV3xaj2rjhxKwbLDv6Hu7Ep5W5K99ikVHy68zr8Q56oPl9W5nKM61oPn/ZrzEQPFdnRWT1gYWEBABj3SwCOhz7Vut9fV6Lw15Wsrl8tnCviwIyeZVVEKgLpnv2IiIiIiAxoau/GmNq7MaKfJ2HYd+cQlaD9V/Mlh25DDmB6gG+hX1sOIJwDqwIAejdxQu8mWVO6z99zAzceJkh+SvfEVAXm7LqOw/9FQ7zM9FiYyTC6Yx0sGNgU5uZM9FDJ/fxhZ9Xy14eDsd7vrtb9bkQnq8b9qWYjx+VFA8qkfFQwJnyIiIiIiEqRc2VbBMx7FQCw9MAN/HYmEpka+2QW8LXcAkAYEzz5alnbHgemdsP9uBTM3XMdZ27HSW5K95R0JebvCcL+wIfIeJnoMZPL8Ea72lg62F3SrZnIsKb3d8f0/u4AgNN3IjHmpxta94tLyVQlfyxlQOgqnrcMiWcEIiIiIqIysnhwCywe3AIRT5Iw4ocAxCWna92vgjlwczlvlIrDpZoNtn3UCfEp6ViwNwiHgkx/Svd0ZSaW7A/CjksPVAODy2XA4FY1seL1FrC15m0dlZ2uDVwRsTqr+2hkZOTLgZ3zShfqM35xuveyxzMDEREREVEZq+toi8sL+wIAGs31hqVQInDZQNXYGVRy9jaW+PadtkhNV2LloVv4++J9k5vSXanMxKrDt7A1IAKKl016ZDKgX9PqWPNGS1S2kU43NTJNrq45yR9APcGjidO9lz0mfIiIiIiIDCj4837w8fExdDEky9rSHJ8PbY4lg93x7ck72PKv8U/pnpmZiQ3HwrD5VDhSlVkdAGUAujd2xNqRLeFga23YAhLpkLsVTwMvb2To2C/3dO/bxrdA1wbGc/xJCRM+REREREQkeXK5HNP6NMK0PsY7pXtmZiY2n7qLb06EISU951a5Y72qWDeqFWrZ2xikXETFcSdX8ie/mQezxgPKSv4sHOCGcT0alkXxygUmfIiIiIiIqFwxxindtwZE4MsjIUhMVarWtXaxx/qRrVDP0bbMykFUGgKXDFQtD97ghxvRyVr3W3YoBMsOhWTt18wRG9/tUCblkyomfIiIiIiIqFzKntL92v1nWLA3yCBTuu+6dB8rfG7iWYpCtc69RiV8NbIV3GtULrX3JTKUAzN6qpa9dlzBX1eitO/33xMceDnuj5tjBRz5pHdZFE9SmPAhIiIiIqJyrZVLlTKf0v1QUBQW7fsPTxLTVOsaOtniyzdamtQMYkQlsXpkW6wembX8s/9tVeseTSFPXqgGfa5kCdz4nDN+FQYTPkRERERERCjclO4rhzVHK5fiJ2T8QmIwb08QHsW/UK1zrVoBa0a0QqcG1fQRBpFJGtejoWr8nvyme09Mz5nxywzqYwWROiZ8iIiIiIiIcslvSveh3xVvSvfz4XGY88913ItLUa2rUdkay19vbtRTwxMZQu7p3vNL/mRAfbr3CCZ/1Bhtwic5ORmzZ89G5cqVkZycjC+//BJWVlaGLhYREREREZUThZnSfVbfxni7g+4ppa/df4ZPd15HWEySap2DrRWWDHbHoFY1yyIMIpOWO/kDqCd4NOXedmpSC7i6lu/p3o024fPxxx9j2LBhGDZsGLZu3Yq5c+di3bp1hi4WERERERGVM/lN6T539w2s9MmZ0j1b2ONEzN79H/57lKBaZ29jgXkDm2Kkh4shwiCShNyteNzmeSMtU/t+Wa2CsloGbRvfAl0blL/kj1EmfB49eoSdO3di8+bNAIABAwZg4sSJWLp0KSpVqmTg0hERERERUXlV0JTuw1rXwLlbZogICFA9p5KVOWb1a4yxr9QzYMmJpCdkZU7yp+PyI3icpNS635ifcpI//ZyBgVr3kh6jTPj4+fnBwcEB1tbWAABHR0dYWVnhwoUL6NOnj9q+aWlpSEvLGdk+ISErg65QKKBQKGCqsstuyjEUBuOUFsYpLYxTWhintDBOaWGcpqlbgyrwnd4V1x48x5IDNxH0KGtK978uPQQgAwBUsJBjcs8GGN+1DuRyuWRiB6RXn7owTtNx+rOcadtHbTqLK4+StO7nG22GRgt9EbasX1kVTa+KUkcyIYQoxbIUy5dffolt27bh2rVrqnUuLi5YuXIl3n33XbV9lyxZgqVLl+Z5jT///BM2NjalXlYiIiIiIqK4VOCvcDluP5fBTA70rJGJgbUF5HJDl4yofNsVCvwbJwOQczB+UisDpjq8T0pKCt555x08f/4cdnZ2+e5rlC18ZDKZqnVPtvT0dFhYWOTZd+7cuZg1a5bqcUJCAlxcXNCvX78CgzdmCoUCR48eRd++fbXGLRWMU1oYp7QwTmlhnNLCOKWFcUrHuygfcQKMU2qkHOfAXP239p67g9neIRg3znTjzO7VVBhGmfCpWbMmnj9/rrYuKSkJNWvmHcXeyspK6+xdFhYWJluBuUkljoIwTmlhnNLCOKWFcUoL45QWxiktjFNaGKc0vN6pASyfhph0nEUpt1E2MOzVqxcePHiA9PR0AFmDOANAhw4dDFksIiIiIiIiIiKTYJQJnxo1aqB///7w9/cHAPj6+mLSpEl5unkREREREREREVFeRtmlCwB++OEHeHl54fz583j69ClWr15t6CIREREREREREZkEo034ODg4YMuWLYYuBhERERERERGRyTHKLl1ERERERERERFR8TPgQEREREREREUkMEz5ERERERERERBLDhA8RERERERERkcQw4UNEREREREREJDFM+BARERERERERSQwTPkREREREREREEsOEDxERERERERGRxDDhQ0REREREREQkMUz4EBERERERERFJDBM+REREREREREQSw4QPEREREREREZHEMOFDRERERERERCQxTPgQEREREREREUkMEz5ERERERERERBLDhA8RERERERERkcSYG7oA+iaEAAAkJCQYuCQlo1AokJKSgoSEBFhYWBi6OKWGcUoL45QWxiktjFNaGKe0ME5pYZzSwjilRQpxZuc6snMf+ZFcwicxMREA4OLiYuCSEBERERERERHpX2JiIipXrpzvPjJRmLSQCcnMzMSjR49QqVIlyGQyQxen2BISEuDi4oL79+/Dzs7O0MUpNYxTWhintDBOaWGc0sI4pYVxSgvjlBbGKS1SiFMIgcTERNSsWRNyef6j9EiuhY9cLkft2rUNXQy9sbOzM9kPYlEwTmlhnNLCOKWFcUoL45QWxiktjFNaGKe0mHqcBbXsycZBm4mIiIiIiIiIJIYJHyIiIiIiIiIiiWHCx0hZWVlh8eLFsLKyMnRRShXjlBbGKS2MU1oYp7QwTmlhnNLCOKWFcUpLeYkzm+QGbSYiIiIiIiIiKu/YwoeIiIiIiIiISGKY8CEiIiIiIiIikhgmfIiIiIiIiIiIJIYJHyIiIiIiIiIiiWHCh4iIiIiIiIhIYpjwKUXp6elo1aoV/Pz8VOuOHTuGjh07IiIiQm3f5ORkTJo0CXPnzsW0adOQlpZWtoUtAc04z549i6ZNm8Le3h7Tp0/Ps/+KFSsgk8kgk8nQqlWrMi5t8WmrTyAr3rVr12Lv3r2Ii4sDIK36vHnzJiZPnoz169dj0qRJCAwMVNvfFOtTV5mldnxqi1OKx2d+ZZbS8aktTiken4D2epPa8QlojxPQfb2RSn3m97k1xfrs27evql6y/3l7excYy/jx41X7DxkyxEClLzxdceZ3XZFSfWaT0nUlv2NRSufcgq6VUqhTf39/jBs3DosWLcLkyZPx4sULAMDjx48xYcIEzJkzB/Pnz0fuCbpDQkIwfvx4fPLJJ1i7dq2hil4kuuLM9vTpU9SqVUvtc5vf36BcEFRqli9fLuzs7MTJkyeFEELExMSIPXv2CADi7t27avu+++67Yvfu3UIIIX777Tcxc+bMMi5t8eWOMzExUSxfvlzExcWJgwcPCnNzc3H06FHVvqmpqWLChAni6NGj4ujRoyI0NNSAJS8azfoUQoiffvpJzJs3L8++UqlPIYRo166dePDggRBCiHv37okmTZqo9jXF+tRVZqkdn9rilOLxmV+ZpXR86opTasenENrrTWrHpxC6P59CaL/eSKk+8/vcmlp93r9/X3z88cfC399fBAQEiICAANGyZUvx4sWLfGOJiooS06ZNU9VnZGSkoUIoFF1xFnRdkVJ9CiGt64oQuo9FqZ1z8zvnSKFOY2NjRb169URycrIQQogNGzaI6dOnCyGE6Natm7hy5YoQQoilS5eKr7/+WgghRFpamnB3dxePHj0SQggxduxYsW/fvrIvfBHkF2e2WbNm5fnc6voblBdM+JSSM2fOiJ9//lnUqVNH7QtbRkZGng/hw4cPhbW1tepiEhMTIypUqCASEhLKuNRFpxnnixcvRGZmpmp7+/btxYkTJ1SPN2/eLFavXq06UE2Ftvo8efKkePXVV9XiFUJa9SmEEDY2NuLmzZtCiKxYatSoodrfFOszvzJL6fjUFqcUj09dZZba8akrTqkdn7rqTQhpHZ/5xanr+4OU6lPX59YU6/P+/ftqjx88eCDeeOONAmOZN2+e2LZtm0hPTy/zMheHrjjzu65IqT6FkN51RYj8ryFSOufqilMqdfrTTz8JDw8P1eM7d+4IS0tLcfr0aeHi4qJaf+HCBVG7dm2RmZkptm/fLrp166batmPHDvHKK6+UabmLSlecSUlJQggh/v77b3HkyBG1z21AQIDOv0F5wS5dpSA5ORk7d+7Ehx9+mGebXJ73T+7n5wcHBwdYW1sDABwdHWFlZYULFy7gl19+QZMmTeDn54du3brB0dERAQEBSEtLwxdffAEXFxcEBQWhW7duqF69Ok6fPo0tW7agTp06aNeuHeLj48s0Tmtra8hkMtX2Fi1aoGfPnqrt27dvx/z58+Hs7Izff/9dtX7v3r1o3749du/ejcGDB8Pe3h579uwBAGzatAlubm44ffo0PD09UaVKFezatQsHDx6Em5sbGjZsmKe5aWnHCQCzZs1C06ZNMXXqVAwYMAABAQEApFWfAPDGG2/go48+QmJiIrZt24aNGzeqtplifeoqMyCt41NbnFI8PnWVWWrHp644pXZ86qo3QFrHp6448/v+IKX61PW5NcX6rF27ttrjffv2YejQofnGolAosGfPHrz77ruoXbs2fH19Vc83tTjzu65IqT4B6V1XgPyvIVI65+qKUyp1mpCQgIcPH6oeu7i4ID09HX5+fqhTp45qfePGjfHgwQOEh4fjxIkTebadP38ez58/x9KlS+Hh4QFfX180aNAALVq0wNOnT/Hw4UNMnToVgwYNwq5du9C4cWO0bNkS0dHRmDp1KqpVq4YPPvhA7/EVFGdoaCgePXqE4OBg9OvXT+052uJ88OABQkNDsWHDBri4uODq1ato1aoV6tSpgzt37iA+Ph7z58+Hh4cH/P390bp1a9SrVw8hISFYtmwZatSogX79+kGpVJZarHpl6IyTFC1cuFA8fvxYCCHy/EInhMiTLV+zZo1o2bKl2j61a9cWW7duFTExMQKAWL16tUhNTRWTJk0Sb731lsjIyBD+/v4CgPDx8RGZmZli4sSJok2bNuL8+fNCqVSK1q1bi02bNhkkzjNnzohu3bqJkSNH5vk1Mj4+XixevFjIZDJx8OBBIURWs8IqVaqIqVOnisTERLFmzRrRqVMnIYQQd+/eFQDEjz/+KBQKhVi9erWoW7eu8PX1FUIIMXjwYPHZZ5+VaZy3bt0SMplMXL9+XQiRVYeVKlUSMTExkqvPxMRE0bNnT+Hm5iY2b96c53mmVp+6ypxNKsdnfnFK6fjUVmYpHp/a4hRCWsdnfvWWTQrHZ35xFvT9QSr1qetza4r1qcnT01M8e/Ys31iyRUdHi4kTJwpzc3MRGBgohBAmF2c2bdcVKdWnVK8rBV1DpHDO1RWnlOo0MDBQyOVysX37diGEEKdPnxYARP/+/cWQIUNU+ymVSgFAnDp1SgwcOFBMmzZNte327dsCgIiMjBS7d+8WVapUEfv27RMKhUK0bNlS/PDDDyItLU2sWLFCuLm5iUuXLon09HTRokUL8cYbb4hHjx6JqKgoYWFhoWpNVVZxXrp0ScycOVOkpKQIIdQ/t5MmTdL6N/Dz8xOXLl0SAMQff/whFAqFGDhwoPDy8hIKhUJs27ZNVKtWTfj5+YnMzEzRv39/0atXL3Hr1i2RlJQknJ2dxaFDh0olTn1jCx89O3z4MDw8PODk5FTo58hkMlUGOVt6ejosLCzg4OAAABg1ahSsrKzQpk0bPH78GHK5HC4uLgCAAQMGQCaTwcPDA3Z2dujQoQPMzMzQokULxMTE6C+4XAqKs379+hg7diyOHz+OTz/9VG1b5cqVsWTJEixYsABff/01AMDS0hKVKlXC8OHDYWtrq4oTgCor269fP5ibm8PDwwNCCPTt2xcA0Lp16zKP87///kPVqlXRokULAMCUKVOQmZmJPXv2SK4+U1NTMXr0aLzzzjuYMWMGjh07prbdlOozvzLrYor1mU1XnFI5PnWVWWrHp644AWkdn/nVmy6mWJ+64ty+fXuB3x+kUp+6PremWJ+5PX/+HABgb2+fbyzZqlevjk2bNuHtt9/Gd999BwAmF2c2bdcVKdWnVK8rBV1DNJlqrNrilFKdtmrVCtu3b8d3332HiRMn4q+//oK5uTkaNGigFkd6ejoAwMLCIk+MubfZ29vDzs4OQ4YMgbm5OVq0aIHHjx/D0tISNWrUgLOzM9q1awcLCwu0atUKzZo1U613dnYutbrUFae/vz9Gjx6NChUq5HmOrjitrKxQtWpVAMA777wDc3NzVV2am5ujZs2asLW1RY8ePVR16erqCjc3N1SsWBGNGjUqk/OQPpgbugBSs3btWly9elX1+NmzZxg6dCjmz5+POXPmaH1OzZo1VReVbElJSahZs6aqmWw2c3NzZGZmAkCebWZmZmqP5XK5al99KyhOZ2dnjB07FjKZDF9++aXW15g8eTJ27typepw7HlOIMyMjQ7W+QoUKaNSoEeLi4lCnTh1J1eeJEyfw119/qb7Avv3224iIiEDFihXVXsMU6lOTZpm1McXjU5NmnFI5PjVll1mpVErq+NSUu27GjBkjmeMzv3rTxRSPT11xfvLJJ6hcubJqfX7fH0y9PnV9bk2xPnPz8fHBwIEDAeT/2dQ0efJkLFmyBEDeWIw9zmzaritSqk+pXlcKew3JZqp1qi3Or776SlJ1OnLkSIwcOVK1PHDgQNSsWRO3b99W7ZOYmAggqx416zIxMRGWlpaoVq2a0cYIaI/zxx9/xMqVK9X2a9u2Lb7//vt8/waa5TSmOPWJLXz07M8//0RgYKDqX82aNbFlyxZMnDhR53N69eqFBw8eqDKOjx49AgB06NChTMpcHIWN08PDA7Vq1dL6GnK5HG3bti2L4habrjj79++P+Ph4xMbGqvY1NzdHs2bNJFWfb731Fq5du6b6FW/BggWws7PDzZs387yGKdSnpsKU2RTrU5OuOE39+NSUXeaWLVtK6vjUlB1nbGyspI7P/OpNF1OsT11xbtmypdDfH0y5PmvVqqXzc2uK9Znb/v378frrrwMo2mfTFOozt9xxasp9XZFSfUrxulKUa0g2U4xVV5wNGjSQXJ0CQFBQEHx8fLBq1Sr06dMHYWFhqm23b99G/fr14erqqnVb165d1VohGrPccfr7+6tdP4GshO2QIUPy/RuUF0z46JmjoyNq166t+mdmZgZHR0fY2dkBAIQQav8HgBo1aqB///7w9/cHAPj6+mLSpEmwtrZWZQ5z76/5Grm3acpvW0noitPS0hKXL19W7efj44Pp06cDyDrhbtu2DRkZGRBCYP369Vi+fLlq38zMTJOJs2XLlhgwYAB27doFAIiPj4dSqYSnp6ek6rN27dqwtrZWGyCtWrVqaNy4sUnWZ0FllsrxqSvO1NRUSR2fusrcpEkTSR2fuuKsWrWqpI7P/OpNV9lMsT51xTlmzBid3x+kVJ+jR4/W+bk1xfrMlp6ejri4OFULnvxiuXv3Lnbv3g0AUCgU2Lp1K2bPng0AJhdnftcVKdWn1K4rAPK9hugqnynGqitOqX2XB7JiGDduHLZu3Qp3d3d07NgRVapUUSU8fH19MWvWLADA0KFDcf/+fSQkJOTZpnlNyV1ukTXLd77lKO3jUzNOZ2dntesnkNXq0MbGJt+/QUF1aeg49SbvsD6kT5qD337//fcCgFi8eLF48uSJar8nT56IcePGiWXLlomZM2eKtLQ0IUTW9HMAxLJly0RERIR4++23hYODgzh37pxYsmSJACA2b94sHj58KEaMGCGcnJzEqVOnxKVLl4Sbm5vo2rWruHPnTpnFGRgYKJycnESXLl3Ep59+Knbs2KHaJzw8XNSvX180adJEjB8/XgQFBam2HTp0SJibm4vJkyeLiIgIMWPGDGFpaSkOHToktmzZovobPHz4UEyaNElYWVmJffv2iZCQEPHKK68INzc31aBrZRGnEFl19s4774h169aJmTNniuDgYNV+UqlPIbIGSJswYYL48ccfxeeffy78/PyEEKZZn/mVWUrHp644pXZ85ldmKR2f+cUppeNTCN31JqXjM784c8t9HpZafer63GY/x9TqU4iseli1alWe+LXFcu7cOeHs7CzatWsnpkyZIiIjI1XPMbU487uu5Pc3MLU4s2ORynUlm65jUWrnXF1xSqVOo6KixO+//y5mzJghrly5orbt9u3b4sMPPxRLliwRixcvVpuO/MKFC2LChAli/vz54ptvvhFCZNX9xIkThaWlpTh48KAICgoSzZs3F927dxfnz58Xw4cPF46OjuLMmTMiMDBQNGnSRPTo0UOEhoaKf/75R1haWor//e9/pTKFfX5x5gaoDzau7W+gUCjE4sWLBQDx008/ifDwcNG7d2/RpEkTERgYKD7++GNhaWkpDhw4IMLCwkS3bt2Eu7u7uHr1qjh58qRwdHQUw4YNE9HR0XqPU99kQphKaoqIiIiIiIiIiAqDXbqIiIiIiIiIiCSGCR8iIiIiIiIiIolhwoeIiIiIiIiISGKY8CEiIiIiIiIikhgmfIiIiIiIiIiIJIYJHyIiIiIiIiIiiWHCh4iIiIiIiIhIYpjwISIiIiIiIiKSGCZ8iIiIqFxLSkrCsmXL0L59+zJ5v2PHjqFLly7w8/Mr9HMyMjJw5coVvby/QqFAUFCQXl6LiIiIjBcTPkRERGRw27Ztg42NDZo3b47g4GAEBwejU6dOkMlkWL9+PTIyMgAA3t7ecHBwwObNm/X23lZWVnB1dcWTJ0/09pr5cXV1xfXr1wu9v0KhwMqVK9GgQQO9vL+FhQWioqLw999/6+X1iIiIyDgx4UNEREQGN2bMGIwaNQr29vZwd3eHu7s7NmzYAAB49dVXYWZmBgAYMGAAhg4digkTJujtvS0sLODq6qq319MmJiZGlWBp3LgxqlatWujnzp07FyNHjkTlypX1Vp6+ffsiICAAV69e1dtrEhERkXFhwoeIiIiMwqhRo3Du3DnExMQAADp16gQXFxccPHhQtU9AQAB69eql9/eWyWR6f81saWlpeO+99/DixQvVOrm8cF/BwsLCEBgYCDc3N72Xa/r06Zg9e7beX5eIiIiMAxM+REREZBReffVVVK5cGXv27AEApKamIikpCbt27VLtc/DgQQwZMgRKpRJTpkzBF198gUGDBmHdunUAgH/++QcVKlTAyJEjkZycjPT0dHz00UdYuHAhACA0NBQLFizA2LFj0b9/f1VySZO2/a5du4YRI0Zg6dKl+OSTT2Bvb4/PPvtM9ZyQkBDMnTsX33//Pdzd3dG7d28sWLAABw4cQHBwMHbu3KlqtQQAcXFxGDRoEOzt7XHgwAGt5diyZQu6du2qerx37160b98eu3fvxuDBg2Fvb6/6e23atAlubm44ffo0PD09UaVKFezatQsHDx6Em5sbGjZsiIiICNVr1atXDyEhIQgNDS1CLREREZGpYMKHiIiIjIK5uTmGDRumSvD4+vpiypQpuHLlCsLDwwEACQkJsLOzw+HDhxEcHIzPPvsMixcvxuLFiwEAI0aMwNixY1GxYkVUrFgRlpaWqFWrFpYuXQqlUonZs2djyZIl+PXXX2FpaYm5c+fmKYeu/Zo1awalUgl/f39MnToVR48exdq1a5GcnAwAGDt2LEaMGIFJkyahd+/ekMlkWL58Od544w3Ur18fb775JmbMmKF6n3PnzmHXrl3w8vLCl19+qfVvcvToUTRs2FD1eODAgbhz5w78/Pywfft2zJ8/H2vWrAGQ1d0tNDQUwcHB2LdvH7y8vDB79mxYWVkhJCQE7u7u+OGHH9Rev2HDhvD19S1mjREREZExY8KHiIiIjMabb74JPz8/PH36FMeOHcP8+fNRr1497NixAxcvXoSHhwcAoFu3bvjqq6+QkpKCgIAAJCUlqV7jo48+wq5du5CcnIzk5GRUrFgRcrkcFy5cwIMHD/Dtt99iw4YNqFWrFqysrPKUQdd+5ubmsLe3R/fu3VG3bl20adMGGRkZiIuLAwAEBgaiQoUKAICmTZsiNjY231g9PT1hbW0NDw8PREVFad3n9u3bqFKliuqxpaUlKlWqhOHDh8PW1hZt2rTB48ePAQB16tQBAPTr1w/m5ubw8PCAEAJ9+/YFALRu3TpPiyZHR0eEhYXlW04iIiIyTeaGLgARERFRtj59+qBy5crYuXMnhBCwsrLCm2++iZ07dyI5ORkzZ84EAFSuXBnnz5+Hv78/unfvrvYabdu2RcOGDbFjxw6Ym5tjxIgRAID79+/DwcFBrZWNNvntl3usH3PzrK9RmZmZAIDevXvj+PHjaNasGcLDwzF8+PBCxWxubg6lUql1W2pqKiwsLPItQ/b7a45DlD3QdTa5XK7aN5uVlRUSEhIKVU4iIiIyLWzhQ0REREYju1vXokWL8OqrrwIARo4ciStXriAiIkI1u9Uvv/yCc+fOYebMmahWrVqe1xk3bhx++eUXhIeHq6Yzr1GjBk6fPq1qEQNktebRVNj9NK1fvx6BgYHYtm0bmjVrpho3qDCEEFrXV6tWTdVlrDSkpqaqtSAiIiIi6WDCh4iIiIzKyJEj8eLFC7z22msAgHbt2qFBgwZqLXmuXr2KuLg4KJVKHD9+HEBW96f09HQAwOjRo3Hp0iXUq1dP9ZxOnTqhevXqGDhwILy9vbFt2zZcvHgRQFbCJTvpkt9+mZmZeZIz2Y+nT5+OMWPGoE2bNnjllVfUEjWWlpZ49uwZQkJC1J6j+RqaWrVqlae7l2YZspc1/6+N5raoqCi0bNlS5/5ERERkupjwISIiIqPSu3dvjB07FtbW1qp1b7/9NoYNG6Z6/P777+Py5cvo0KED6tevDycnJ/z++++wtLQEAFSpUgXvvvuuWrcqS0tL7Nu3D2ZmZhg9ejT8/f0xfvx4pKSkYOfOnYiKisL+/ft17hccHIxz587Bz88P4eHh2Lp1KwBg27ZtUCgUqFGjBkaNGoU2bdqgSZMmqFq1qmqfUaNGYdWqVThz5gz27duH6Oho/PPPP7h3757q8dGjR/P8LQYNGoSbN2+qHh8+fBhRUVF5nnv48GH88ssvAIA//vgDjx49ws6dOxEdHY39+/cjNDQUx44dw/nz53Hjxg0AWcmfO3fuYODAgfqqOiIiIjIiMpHfz0BEREREVKD4+HisWLFCNduWEAKxsbFYvXo11q5dW+zXTU5ORv/+/XHq1Kk8Y/SU1KVLl/DDDz9gy5Yten1dIiIiMg5s4UNERERUQj///DOCg4NV4/7IZDIEBASgZ8+eJXrdihUr4tNPP8Wff/6ph1Kq++OPP7Bq1Sq9vy4REREZByZ8iIiIiErovffeQ/Xq1dG6dWvUqlUL3bp1g1KpxODBg0v82kOHDoWFhQXOnz+vh5Jm+fPPPzF+/Hg4Ojrq7TWJiIjIuLBLFxEREZEJSEpKgq2tbYlfJyMjA+np6ahQoYIeSkVERETGigkfIiIiIiIiIiKJYZcuIiIiIiIiIiKJYcKHiIiIiIiIiEhimPAhIiIiIiIiIpIYJnyIiIiIiIiIiCSGCR8iIiIiIiIiIolhwoeIiIiIiIiISGKY8CEiIiIiIiIikpj/Byzr1I70Ad9PAAAAAElFTkSuQmCC", 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", 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LabelBitterIdealStrongUnderdevelopWeak
410nm10.7141138.17656010.9960637.8946106.287492
435nm2.5767391.9325543.2209242.2546461.803717
460nm6.5150614.6536157.1355434.9638563.412651
485nm1.1805370.8854032.0659401.4756720.885403
510nm2.7404962.5142173.7713253.2433392.438790
535nm8.7854309.0643336.5077267.4374018.181142
560nm0.8718530.8718531.3077791.4530880.770137
585nm1.0986661.0437331.3733331.3733330.810266
610nm4.0291482.1977175.8605794.0291483.040175
645nm0.7217770.7964440.7466660.9582210.497777
680nm1.3068870.9717881.8095361.1728481.005298
705nm0.3539230.1651640.3539230.3539230.353923
730nm0.8227420.7479480.7479480.7479480.747948
760nm0.5207210.0000000.7290100.4426130.104144
810nm0.8270060.8270060.9372730.8270060.827006
860nm1.4664431.0998321.9063761.4664431.099832
900nm0.5120090.5120090.5120090.5120090.512009
940nm0.0000000.0000000.0000000.0000000.000000
\n", + "
" + ], + "text/plain": [ + "Label Bitter Ideal Strong Underdevelop Weak\n", + "410nm 10.714113 8.176560 10.996063 7.894610 6.287492\n", + "435nm 2.576739 1.932554 3.220924 2.254646 1.803717\n", + "460nm 6.515061 4.653615 7.135543 4.963856 3.412651\n", + "485nm 1.180537 0.885403 2.065940 1.475672 0.885403\n", + "510nm 2.740496 2.514217 3.771325 3.243339 2.438790\n", + "535nm 8.785430 9.064333 6.507726 7.437401 8.181142\n", + "560nm 0.871853 0.871853 1.307779 1.453088 0.770137\n", + "585nm 1.098666 1.043733 1.373333 1.373333 0.810266\n", + "610nm 4.029148 2.197717 5.860579 4.029148 3.040175\n", + "645nm 0.721777 0.796444 0.746666 0.958221 0.497777\n", + "680nm 1.306887 0.971788 1.809536 1.172848 1.005298\n", + "705nm 0.353923 0.165164 0.353923 0.353923 0.353923\n", + "730nm 0.822742 0.747948 0.747948 0.747948 0.747948\n", + "760nm 0.520721 0.000000 0.729010 0.442613 0.104144\n", + "810nm 0.827006 0.827006 0.937273 0.827006 0.827006\n", + "860nm 1.466443 1.099832 1.906376 1.466443 1.099832\n", + "900nm 0.512009 0.512009 0.512009 0.512009 0.512009\n", + "940nm 0.000000 0.000000 0.000000 0.000000 0.000000" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mean" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "temp = df.copy()\n", + "temp.set_index('Label', inplace=True)\n", + "palette = sns.color_palette('Blues', as_cmap=True)\n", + "ax = temp.T.plot(kind='line', legend=False, figsize=(14,7), colormap=palette)\n", + "ax.set_xticks(range(18))\n", + "ax.set_xticklabels(df.columns[:-1])\n", + "plt.grid()\n", + "plt.title(f\"Distribusi Keseluruhan Data Spektroskopi (150 Rows)\")\n", + "plt.xlabel(\"Wavelength (nm)\")\n", + "plt.ylabel(\"Intensity\")\n", + "plt.show()" + ] + } + ], + "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": "3.11.1" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/as7265x.py b/as7265x.py new file mode 100644 index 0000000..41a6ba1 --- /dev/null +++ b/as7265x.py @@ -0,0 +1,439 @@ +import time +import struct + +I2C_ADDR = 0x49 + +STATUS_REG = 0x00 +WRITE_REG = 0x01 +READ_REG = 0x02 +TX_VALID = 0x02 +RX_VALID = 0x01 + +#Register addresses +HW_VERSION_HIGH = 0x00 +HW_VERSION_LOW = 0x01 +FW_VERSION_HIGH = 0x02 +FW_VERSION_LOW = 0x03 + +CONFIG = 0x04 +INTEGRATION_TIME = 0x05 +DEVICE_TEMP = 0x06 +LED_CONFIG = 0x07 + +#Raw channel registers +R_G_A = 0x08 +S_H_B = 0x0a +T_I_C = 0x0c +U_J_D = 0x0e +V_K_E = 0x10 +W_L_F = 0x12 + +#Calibrated channel registers +R_G_A_CAL = 0x14 +S_H_B_CAL = 0x18 +T_I_C_CAL = 0x1c +U_J_D_CAL = 0x20 +V_K_E_CAL = 0x24 +W_L_F_CAL = 0x28 + +DEV_SELECT_CONTROL = 0x4F + +COEF_DATA_0 = 0x50 +COEF_DATA_1 = 0x51 +COEF_DATA_2 = 0x52 +COEF_DATA_3 = 0x52 +COEF_DATA_READ = 0x54 +COEF_DATA_WRITE = 0x55 + +#Settings +POLLING_DELAY = 0.01 +NIR = 0x00 +VISIBLE = 0x01 +UV = 0x02 + +LED_WHITE = 0x00 +LED_IR = 0x01 +LED_UV = 0x02 +LED_CURRENT_LIMIT_12_5MA = 0b00 +LED_CURRENT_LIMIT_25MA = 0b01 +LED_CURRENT_LIMIT_50MA = 0b10 +LED_CURRENT_LIMIT_100MA = 0b11 + +INDICATOR_CURRENT_LIMIT_1MA = 0b00 +INDICATOR_CURRENT_LIMIT_2MA = 0b01 +INDICATOR_CURRENT_LIMIT_4MA = 0b10 +INDICATOR_CURRENT_LIMIT_8MA = 0b11 + +GAIN_1X = 0b00 +GAIN_37X = 0b01 +GAIN_16X = 0b10 +GAIN_64X = 0b11 + +MEASUREMENT_MODE_4CHAN = 0b00 +MEASUREMENT_MODE_4CHAN_2 = 0b01 +MEASUREMENT_MODE_6CHAN_CONTINUOUS = 0b10 +MEASUREMENT_MODE_6CHAN_ONE_SHOT = 0b11 + + +class AS7265X(): + def __init__(self, i2c_bus): + self._bus = i2c_bus + + def begin(self): + if not self.isConnected(): + return False + + value = self.virtualReadRegister(DEV_SELECT_CONTROL) + if (value & 0b00110000) == 0: + return False + + self.setBulbCurrent(LED_CURRENT_LIMIT_12_5MA, LED_WHITE) + self.setBulbCurrent(LED_CURRENT_LIMIT_12_5MA, LED_IR) + self.setBulbCurrent(LED_CURRENT_LIMIT_12_5MA, LED_UV) + + self.disableBulb(LED_WHITE) + self.disableBulb(LED_IR) + self.disableBulb(LED_UV) + + self.setIndicatorCurrent(INDICATOR_CURRENT_LIMIT_8MA) + self.enableIndicator() + + self.setIntegrationCycles(49) #50 * 2.8ms = 140ms. + self.setGain(GAIN_64X) + self.setMeasurementMode(MEASUREMENT_MODE_6CHAN_ONE_SHOT) + self.enableInterrupt() + return True + + def getDeviceType(self): + return self.virtualReadRegister(HW_VERSION_HIGH) + + def getHardwareVersion(self): + return self.virtualReadRegister(HW_VERSION_LOW) + + def getMajorFirmwareVersion(self): + self.virtualWriteRegister(FW_VERSION_HIGH, 0x01) + self.virtualWriteRegister(FW_VERSION_LOW, 0x01) + + return self.virtualReadRegister(FW_VERSION_LOW) + + def getPatchFirmwareVersion(self): + self.virtualWriteRegister(FW_VERSION_HIGH, 0x02) + self.virtualWriteRegister(FW_VERSION_LOW, 0x02) + + return self.virtualReadRegister(FW_VERSION_LOW) + + def getBuildFirmwareVersion(self): + self.virtualWriteRegister(FW_VERSION_HIGH, 0x03) + self.virtualWriteRegister(FW_VERSION_LOW, 0x03) + + return self.virtualReadRegister(FW_VERSION_LOW) + + def isConnected(self): + try: + self._bus.read_byte_data(I2C_ADDR, STATUS_REG) + return True + except: + return False + + def takeMeasurements(self): + self.setMeasurementMode(MEASUREMENT_MODE_6CHAN_ONE_SHOT) + + while not self.dataAvailable(): + time.sleep(POLLING_DELAY) + + def takeMeasurementsWithBulb(self): + self.enableBulb(LED_WHITE) + self.enableBulb(LED_IR) + self.enableBulb(LED_UV) + + self.takeMeasurements() + + self.disableBulb(LED_WHITE) + self.disableBulb(LED_IR) + self.disableBulb(LED_UV) + + #Get the various color readings + def getG(self): + return self.getChannel(R_G_A, VISIBLE) + + def getH(self): + return self.getChannel(S_H_B, VISIBLE) + + def getI(self): + return self.getChannel(T_I_C, VISIBLE) + + def getJ(self): + return self.getChannel(U_J_D, VISIBLE) + + def getK(self): + return self.getChannel(V_K_E, VISIBLE) + + def getL(self): + return self.getChannel(W_L_F, VISIBLE) + + #Get the various NIR readings + def getR(self): + return self.getChannel(R_G_A, NIR) + + def getS(self): + return self.getChannel(S_H_B, NIR) + + def getT(self): + return self.getChannel(T_I_C, NIR) + + def getU(self): + return self.getChannel(U_J_D, NIR) + + def getV(self): + return self.getChannel(V_K_E, NIR) + + def getW(self): + return self.getChannel(W_L_F, NIR) + + #Get the various UV readings + def getA(self): + return self.getChannel(R_G_A, UV) + + def getB(self): + return self.getChannel(S_H_B, UV) + + def getC(self): + return self.getChannel(T_I_C, UV) + + def getD(self): + return self.getChannel(U_J_D, UV) + + def getE(self): + return self.getChannel(V_K_E, UV) + + def getF(self): + return self.getChannel(W_L_F, UV) + + def getChannel(self, channelRegister, device): + self.selectDevice(device) + colorData = self.virtualReadRegister(channelRegister) << 8 + colorData |= self.virtualReadRegister(channelRegister + 1) + return colorData + + #Returns the various calibration data + def getCalibratedA(self): + return self.getCalibratedValue(R_G_A_CAL, UV) + + def getCalibratedB(self): + return self.getCalibratedValue(S_H_B_CAL, UV) + + def getCalibratedC(self): + return self.getCalibratedValue(T_I_C_CAL, UV) + + def getCalibratedD(self): + return self.getCalibratedValue(U_J_D_CAL, UV) + + def getCalibratedE(self): + return self.getCalibratedValue(V_K_E_CAL, UV) + + def getCalibratedF(self): + return self.getCalibratedValue(W_L_F_CAL, UV) + + #Returns the various calibration data + def getCalibratedG(self): + return self.getCalibratedValue(R_G_A_CAL, VISIBLE) + + def getCalibratedH(self): + return self.getCalibratedValue(S_H_B_CAL, VISIBLE) + + def getCalibratedI(self): + return self.getCalibratedValue(T_I_C_CAL, VISIBLE) + + def getCalibratedJ(self): + return self.getCalibratedValue(U_J_D_CAL, VISIBLE) + + def getCalibratedK(self): + return self.getCalibratedValue(V_K_E_CAL, VISIBLE) + + def getCalibratedL(self): + return self.getCalibratedValue(W_L_F_CAL, VISIBLE) + + #Returns the various calibration data + def getCalibratedR(self): + return self.getCalibratedValue(R_G_A_CAL, NIR) + + def getCalibratedS(self): + return self.getCalibratedValue(S_H_B_CAL, NIR) + + def getCalibratedT(self): + return self.getCalibratedValue(T_I_C_CAL, NIR) + + def getCalibratedU(self): + return self.getCalibratedValue(U_J_D_CAL, NIR) + + def getCalibratedV(self): + return self.getCalibratedValue(V_K_E_CAL, NIR) + + def getCalibratedW(self): + return self.getCalibratedValue(W_L_F_CAL, NIR) + + #Given an address, read four bytes and return the floating point calibrated value + def getCalibratedValue(self, calAddress, device): + self.selectDevice(device) + + b0 = self.virtualReadRegister(calAddress + 0) + b1 = self.virtualReadRegister(calAddress + 1) + b2 = self.virtualReadRegister(calAddress + 2) + b3 = self.virtualReadRegister(calAddress + 3) + + #Channel calibrated values are stored big-endian + calBytes = 0 + calBytes |= (b0 << (8 * 3)) + calBytes |= (b1 << (8 * 2)) + calBytes |= (b2 << (8 * 1)) + calBytes |= (b3 << (8 * 0)) + + return self.convertBytesToFloat(calBytes) + + #Given 4 bytes returns the floating point value + def convertBytesToFloat(self, value): + b = struct.pack('=L', value) + f = struct.unpack('f', b) + return f[0] + + def setMeasurementMode(self, mode): + mode = 0b11 if mode > 0b11 else mode + + value = self.virtualReadRegister(CONFIG) + value &= 0b11110011 + value |= (mode << 2) + self.virtualWriteRegister(CONFIG, value) + + def setGain(self, gain): + gain = 0b11 if gain > 0b11 else gain + + value = self.virtualReadRegister(CONFIG) + value &= 0b11001111 + value |= (gain << 4) + self.virtualWriteRegister(CONFIG, value) + + def setIntegrationCycles(self, cycleValue): + self.virtualWriteRegister(INTEGRATION_TIME, cycleValue) + + def enableInterrupt(self): + value = self.virtualReadRegister(CONFIG) + value |= 0b01000000 + self.virtualWriteRegister(CONFIG, value) + + def disableInterrupt(self): + value = self.virtualReadRegister(CONFIG) + value &= 0b10111111 + self.virtualWriteRegister(CONFIG, value) + + def dataAvailable(self): + value = self.virtualReadRegister(CONFIG) + return value & 0x02 + + def enableBulb(self, device): + self.selectDevice(device) + + value = self.virtualReadRegister(LED_CONFIG) + value |= 0b00001000 + self.virtualWriteRegister(LED_CONFIG, value) + + def disableBulb(self, device): + self.selectDevice(device) + + value = self.virtualReadRegister(LED_CONFIG) + value &= 0b11110111 + self.virtualWriteRegister(LED_CONFIG, value) + + def setBulbCurrent(self, current, device): + self.selectDevice(device) + current = 0b11 if current > 0b11 else current + value = self.virtualReadRegister(LED_CONFIG) + value &= 0b11001111 + value |= (current << 4) + self.virtualWriteRegister(LED_CONFIG, value) + + def selectDevice(self, device): + self.virtualWriteRegister(DEV_SELECT_CONTROL, device) + + def enableIndicator(self): + value = self.virtualReadRegister(LED_CONFIG) + value |= 0b00000001 + + self.selectDevice(NIR) + self.virtualWriteRegister(LED_CONFIG, value) + + def disableIndicator(self): + value = self.virtualReadRegister(LED_CONFIG) + value &= 0b11111110 + + self.selectDevice(NIR) + self.virtualWriteRegister(LED_CONFIG, value) + + def setIndicatorCurrent(self, current): + current = 0b11 if current > 0b11 else current + value = self.virtualReadRegister(LED_CONFIG) + value &= 0b11111001 + value |= (current << 1) + + self.selectDevice(NIR) + self.virtualWriteRegister(LED_CONFIG, value) + + def getTemperature(self, deviceNumber): + self.selectDevice(deviceNumber) + return self.virtualReadRegister(DEVICE_TEMP) + + def getTemperatureAverage(self): + average = 0 + for x in range(3): + average += self.getTemperature(x) + return float(average) / 3 + + def softReset(self): + value = self.virtualReadRegister(CONFIG) + value |= 0x80 + self.virtualWriteRegister(CONFIG, value) + + def virtualReadRegister(self, virtualAddr): + status = self.readRegister(STATUS_REG) + if (status & RX_VALID) != 0: + incoming = self.readRegister(READ_REG) + + while(1): + status = self.readRegister(STATUS_REG) + if (status & TX_VALID) == 0: + break + time.sleep(POLLING_DELAY) + + self.writeRegister(WRITE_REG, virtualAddr) + + while(1): + status = self.readRegister(STATUS_REG) + if (status & RX_VALID) != 0: + break + time.sleep(POLLING_DELAY) + + incoming = self.readRegister(READ_REG) + return incoming + + def virtualWriteRegister(self, virtualAddr, dataToWrite): + while(1): + status = self.readRegister(STATUS_REG) + if (status & TX_VALID) == 0: + break + time.sleep(POLLING_DELAY) + + self.writeRegister(WRITE_REG, virtualAddr | 0x80) + + while(1): + status = self.readRegister(STATUS_REG) + if (status & TX_VALID) == 0: + break + time.sleep(POLLING_DELAY) + + self.writeRegister(WRITE_REG, dataToWrite) + + def readRegister(self, addr): + return self._bus.read_byte_data(I2C_ADDR, addr) + + def writeRegister(self, addr, val): + return self._bus.write_byte_data(I2C_ADDR, addr, val) + diff --git a/bitter.xlsx b/bitter.xlsx new file mode 100644 index 0000000..2ada2f8 Binary files /dev/null and b/bitter.xlsx differ diff --git a/buttonScan.py b/buttonScan.py new file mode 100644 index 0000000..2029a43 --- /dev/null +++ b/buttonScan.py @@ -0,0 +1,114 @@ +import as7265x +import smbus +import numpy as np +import os +from datetime import datetime +import RPi.GPIO as GPIO +import time + + +# AS7265X Configuration +i2c = smbus.SMBus(1) +sensor = as7265x.AS7265X(i2c) +x = ['410', '435', '460', '485', '510', '535', '560', '585', + '610', '645', '680', '705', '730', '760', '810', '860', + '900', '940'] + +'''Alphabetical order is not spectral order. ie +A,B,C,D,E,F,G,H,I,J,K,L,R,S,T,U,V,W . +According to the data sheets, the spectral order is +A,B,C,D,E,F,G,H,R,I,S,J,T,U,V,W,K,L. + +The order in the example reflects the UV to NIR spectral order. +''' + + +# Button GPIO Configuration +BUTTON_PIN = 22 # Button use pin 22 +GPIO.setmode(GPIO.BCM) +GPIO.setup(BUTTON_PIN, GPIO.IN, pull_up_down=GPIO.PUD_DOWN) # Pull-down resistor + +# Define Path/Label +folder = "Ideal" + + + + +def scan() -> None: + """" + Scan function use to scan using AS7265X and save the data into a txt in a folder based + on its label. + + """ + + + # Turn on all LED + sensor.begin() + sensor.enableBulb(as7265x.LED_WHITE) + sensor.enableBulb(as7265x.LED_IR) + sensor.enableBulb(as7265x.LED_UV) + sensor.setIntegrationCycles(1) + + # Take measurements + sensor.takeMeasurements() + + data = [] + data.append(sensor.getCalibratedA()) + data.append(sensor.getCalibratedB()) + data.append(sensor.getCalibratedC()) + data.append(sensor.getCalibratedD()) + data.append(sensor.getCalibratedE()) + data.append(sensor.getCalibratedF()) + data.append(sensor.getCalibratedG()) + data.append(sensor.getCalibratedH()) + data.append(sensor.getCalibratedR()) + data.append(sensor.getCalibratedI()) + data.append(sensor.getCalibratedS()) + data.append(sensor.getCalibratedJ()) + data.append(sensor.getCalibratedT()) + data.append(sensor.getCalibratedU()) + data.append(sensor.getCalibratedV()) + data.append(sensor.getCalibratedW()) + data.append(sensor.getCalibratedK()) + data.append(sensor.getCalibratedL()) + + sensor.disableBulb(as7265x.LED_WHITE) + sensor.disableBulb(as7265x.LED_IR) + sensor.disableBulb(as7265x.LED_UV) + + # Save data as txt file + save_data(data) + + +def save_data(data: list) -> None: + """" + Save a list into a txt, and put the txt on the folder based on defined path. + """ + + filename = datetime.now().strftime("%Y-%m-%d-%H:%M:%S") + ".txt" + if not os.path.exists(folder): + os.makedirs(folder) + + file_path = os.path.join(folder, filename) + with open(file_path, "w") as file: + for item in data: + file.write(f"{item};") + + print(f"List telah disimpan ke {file_path}") + +print("Setup completed!") +print("="*20) +print("Push a button to scan!") + +try: + while True: + if GPIO.input(BUTTON_PIN) == GPIO.HIGH: + print("Tombol ditekan!") + print("Memulai scan....") + scan() + print("Scan berhasil!") + time.sleep(0.15) # Delay untuk menghindari pembacaan terlalu cepat +except KeyboardInterrupt: + print("Program dihentikan.") +finally: + GPIO.cleanup() diff --git a/model.py b/model.py new file mode 100644 index 0000000..71235a0 --- /dev/null +++ b/model.py @@ -0,0 +1,32 @@ +from tflite_runtime.interpreter import Interpreter +import numpy as np + +# Load the TFLite model +interpreter = Interpreter(model_path="Iris.tflite") +interpreter.allocate_tensors() + +# Get input and output details +input_details = interpreter.get_input_details() +output_details = interpreter.get_output_details() + +# Print details +print("Input details:", input_details) +print("Output details:", output_details) + +# Dummy input data +input_shape = input_details[0]['shape'] # e.g., [1, 224, 224, 3] +input_data = np.array([[5.1, 3.5, 1.4, 0.2]]).astype(input_details[0]['dtype']) +# Set input tensor +interpreter.set_tensor(input_details[0]['index'], input_data) + +# Run inference +interpreter.invoke() + +# Get output tensor +output_data = interpreter.get_tensor(output_details[0]['index']) +print("Predictions:", output_data) + +classes = ['Iris-setosa', 'Iris-versicolor', 'Iris-virginica'] +final = np.argmax(output_data) +output_class = classes[final] +print(output_class) diff --git a/predict.py b/predict.py new file mode 100644 index 0000000..388e376 --- /dev/null +++ b/predict.py @@ -0,0 +1,126 @@ +import as7265x +import smbus +import numpy as np +import os +from datetime import datetime +import RPi.GPIO as GPIO +import time +from luma.core.interface.serial import i2c +from luma.oled.device import ssd1306 +from luma.core.render import canvas +from PIL import ImageFont +from tflite_runtime.interpreter import Interpreter + +# AS7265X Configuration +i2c_bus = smbus.SMBus(1) +sensor = as7265x.AS7265X(i2c_bus) +x = ['410', '435', '460', '485', '510', '535', '560', '585', + '610', '645', '680', '705', '730', '760', '810', '860', + '900', '940'] + +# Button GPIO Configuration +BUTTON_PIN = 22 # Button use pin 22 +GPIO.setmode(GPIO.BCM) +GPIO.setup(BUTTON_PIN, GPIO.IN, pull_up_down=GPIO.PUD_DOWN) # Pull-down resistor + +# OLED Configuration +OLED_ADDRESS = 0x3C # I2C address of the OLED +serial = i2c(port=1, address=OLED_ADDRESS) +oled = ssd1306(serial) + +# Load font (optional, system fonts or custom fonts can be used) +font_path = "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf" +font = ImageFont.truetype(font_path, 12) if os.path.exists(font_path) else None + +# Load the TFLite model +interpreter = Interpreter(model_path="coffee_random.tflite") +interpreter.allocate_tensors() +# Get input and output details +input_details = interpreter.get_input_details() +output_details = interpreter.get_output_details() + +# Define classes +classes = ['Bitter','Ideal','Strong','Underdevelop','Weak'] + +def predict(data): + # Convert data type + input_data = np.array([data]).astype(input_details[0]['dtype']) + + # Set input tensor + interpreter.set_tensor(input_details[0]['index'], input_data) + + # Run inference + interpreter.invoke() + output_data = interpreter.get_tensor(output_details[0]['index']) + final = np.argmax(output_data) + + return classes[final] + +def scan() -> None: + """Scan function using AS7265X and Predict""" + display_message("Scanning...") + # Turn on all LED + sensor.begin() + sensor.enableBulb(as7265x.LED_WHITE) + sensor.enableBulb(as7265x.LED_IR) + sensor.enableBulb(as7265x.LED_UV) + sensor.setIntegrationCycles(1) + + # Take measurements + sensor.takeMeasurements() + + data = [ + sensor.getCalibratedA(), sensor.getCalibratedB(), sensor.getCalibratedC(), sensor.getCalibratedD(), + sensor.getCalibratedE(), sensor.getCalibratedF(), sensor.getCalibratedG(), sensor.getCalibratedH(), + sensor.getCalibratedR(), sensor.getCalibratedI(), sensor.getCalibratedS(), sensor.getCalibratedJ(), + sensor.getCalibratedT(), sensor.getCalibratedU(), sensor.getCalibratedV(), sensor.getCalibratedW(), + sensor.getCalibratedK(), sensor.getCalibratedL() + ] + + sensor.disableBulb(as7265x.LED_WHITE) + sensor.disableBulb(as7265x.LED_IR) + sensor.disableBulb(as7265x.LED_UV) + + prediction = predict(data) + # Save data as txt file + predict_message(prediction) + scan_message() + +def predict_message(message: str) -> None: + with canvas(oled) as draw: + draw.text((5,5), "Prediction:", fill='white', font=font) + draw.text((5,25), message, fill='white', font=font) + time.sleep(3.25) + +def display_message(message: str) -> None: + """Display a message on the OLED.""" + with canvas(oled) as draw: + draw.text((10, 25), message, fill="white", font=font) + time.sleep(2) # Display message for 2 seconds + +def scan_message(): + with canvas(oled) as draw: + draw.text((5,5), "Push button", fill='white', font=font) + draw.text((5,25), "to scan!", fill='white', font=font) + time.sleep(2) + +print("Setup completed!") +display_message("Setup Completed!") +scan_message() +print("=" * 20) +print("Push a button to scan!") + +try: + while True: + if GPIO.input(BUTTON_PIN) == GPIO.HIGH: + print("Tombol ditekan!") + print("Memulai scan....") + scan() + print("Scan succeed!") + scan_message() + + time.sleep(0.1) # Delay untuk menghindari pembacaan terlalu cepat +except KeyboardInterrupt: + print("Program dihentikan.") +finally: + GPIO.cleanup() diff --git a/run.py b/run.py new file mode 100644 index 0000000..9925d74 --- /dev/null +++ b/run.py @@ -0,0 +1,109 @@ +import as7265x +import smbus +import numpy as np +import os +from datetime import datetime +import RPi.GPIO as GPIO +import time +from luma.core.interface.serial import i2c +from luma.oled.device import ssd1306 +from luma.core.render import canvas +from PIL import ImageFont + +# AS7265X Configuration +i2c_bus = smbus.SMBus(1) +sensor = as7265x.AS7265X(i2c_bus) +x = ['410', '435', '460', '485', '510', '535', '560', '585', + '610', '645', '680', '705', '730', '760', '810', '860', + '900', '940'] + +# Button GPIO Configuration +BUTTON_PIN = 22 # Button use pin 22 +GPIO.setmode(GPIO.BCM) +GPIO.setup(BUTTON_PIN, GPIO.IN, pull_up_down=GPIO.PUD_DOWN) # Pull-down resistor + +# OLED Configuration +OLED_ADDRESS = 0x3C # I2C address of the OLED +serial = i2c(port=1, address=OLED_ADDRESS) +oled = ssd1306(serial) + +# Load font (optional, system fonts or custom fonts can be used) +font_path = "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf" +font = ImageFont.truetype(font_path, 12) if os.path.exists(font_path) else None + +# Define Path/Label +folder = input("Masukkan Label: ") + +def scan() -> None: + """Scan function using AS7265X and save data to a file.""" + # Turn on all LED + sensor.begin() + sensor.enableBulb(as7265x.LED_WHITE) + sensor.enableBulb(as7265x.LED_IR) + sensor.enableBulb(as7265x.LED_UV) + sensor.setIntegrationCycles(1) + + # Take measurements + sensor.takeMeasurements() + + data = [ + sensor.getCalibratedA(), sensor.getCalibratedB(), sensor.getCalibratedC(), sensor.getCalibratedD(), + sensor.getCalibratedE(), sensor.getCalibratedF(), sensor.getCalibratedG(), sensor.getCalibratedH(), + sensor.getCalibratedR(), sensor.getCalibratedI(), sensor.getCalibratedS(), sensor.getCalibratedJ(), + sensor.getCalibratedT(), sensor.getCalibratedU(), sensor.getCalibratedV(), sensor.getCalibratedW(), + sensor.getCalibratedK(), sensor.getCalibratedL() + ] + + sensor.disableBulb(as7265x.LED_WHITE) + sensor.disableBulb(as7265x.LED_IR) + sensor.disableBulb(as7265x.LED_UV) + + # Save data as txt file + save_data(data) + display_message("Scan succeed!") + +def save_data(data: list) -> None: + """Save a list into a txt file in the defined folder.""" + filename = datetime.now().strftime("%Y-%m-%d-%H:%M:%S") + ".txt" + if not os.path.exists(folder): + os.makedirs(folder) + + file_path = os.path.join(folder, filename) + with open(file_path, "w") as file: + for item in data: + file.write(f"{item};") + + print(f"List telah disimpan ke {file_path}") + +def display_message(message: str) -> None: + """Display a message on the OLED.""" + with canvas(oled) as draw: + draw.text((10, 25), message, fill="white", font=font) + time.sleep(2) # Display message for 2 seconds + +def scan_message(): + with canvas(oled) as draw: + draw.text((5,5), "Push button", fill='white', font=font) + draw.text((5,25), "to scan!", fill='white', font=font) + time.sleep(2) + +print("Setup completed!") +display_message("Setup Completed!") +scan_message() +print("=" * 20) +print("Push a button to scan!") + +try: + while True: + if GPIO.input(BUTTON_PIN) == GPIO.HIGH: + print("Tombol ditekan!") + print("Memulai scan....") + scan() + print("Scan berhasil!") + scan_message() + + time.sleep(0.1) # Delay untuk menghindari pembacaan terlalu cepat +except KeyboardInterrupt: + print("Program dihentikan.") +finally: + GPIO.cleanup() diff --git a/scan.py b/scan.py new file mode 100644 index 0000000..84d272c --- /dev/null +++ b/scan.py @@ -0,0 +1,65 @@ +import as7265x +import smbus +import numpy as np +import os +from datetime import datetime + +i2c = smbus.SMBus(1) +sensor = as7265x.AS7265X(i2c) + +sensor.begin() +sensor.enableBulb(as7265x.LED_WHITE) +sensor.enableBulb(as7265x.LED_IR) +sensor.enableBulb(as7265x.LED_UV) +sensor.setIntegrationCycles(1) + +x = ['410', '435', '460', '485', '510', '535', '560', '585', + '610', '645', '680', '705', '730', '760', '810', '860', + '900', '940'] + +'''Alphabetical order is not spectral order. ie +A,B,C,D,E,F,G,H,I,J,K,L,R,S,T,U,V,W . +According to the data sheets, the spectral order is +A,B,C,D,E,F,G,H,R,I,S,J,T,U,V,W,K,L. + +The order in the example reflects the UV to NIR spectral order. +''' + +sensor.takeMeasurements() + +data = [] +data.append(sensor.getCalibratedA()) +data.append(sensor.getCalibratedB()) +data.append(sensor.getCalibratedC()) +data.append(sensor.getCalibratedD()) +data.append(sensor.getCalibratedE()) +data.append(sensor.getCalibratedF()) +data.append(sensor.getCalibratedG()) +data.append(sensor.getCalibratedH()) +data.append(sensor.getCalibratedR()) +data.append(sensor.getCalibratedI()) +data.append(sensor.getCalibratedS()) +data.append(sensor.getCalibratedJ()) +data.append(sensor.getCalibratedT()) +data.append(sensor.getCalibratedU()) +data.append(sensor.getCalibratedV()) +data.append(sensor.getCalibratedW()) +data.append(sensor.getCalibratedK()) +data.append(sensor.getCalibratedL()) + +sensor.disableBulb(as7265x.LED_WHITE) +sensor.disableBulb(as7265x.LED_IR) +sensor.disableBulb(as7265x.LED_UV) + +filename = datetime.now().strftime("%Y-%m-%d-%H:%M:%S") + ".txt" + +folder = "Ideal" +if not os.path.exists(folder): + os.makedirs(folder) + +file_path = os.path.join(folder, filename) +with open(file_path, "w") as file: + for item in data: + file.write(f"{item};") + +print(f"List telah disimpan ke {file_path}")