diff --git a/01_materials/labs/lab_1.ipynb b/01_materials/labs/lab_1.ipynb index 7258be26..c137719c 100644 --- a/01_materials/labs/lab_1.ipynb +++ b/01_materials/labs/lab_1.ipynb @@ -61,14 +61,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "(1797, 8, 8)" ] }, + "execution_count": 93, "metadata": {}, - "execution_count": 93 + "output_type": "execute_result" } ], "source": [ @@ -99,14 +99,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "(1797, 64)" ] }, + "execution_count": 94, "metadata": {}, - "execution_count": 94 + "output_type": "execute_result" } ], "source": [ @@ -139,14 +139,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "(1797,)" ] }, + "execution_count": 95, "metadata": {}, - "execution_count": 95 + "output_type": "execute_result" } ], "source": [ @@ -178,14 +178,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -229,14 +229,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -329,8 +329,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "X_train shape: (1437, 64)\n", "y_train shape: (1437,)\n", @@ -386,8 +386,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Before one-hot encoding: 6\n", "After one-hot encoding: [0. 0. 0. 0. 0. 0. 1. 0. 0. 0.]\n" @@ -446,32 +446,20 @@ }, "outputs": [ { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1mModel: \"sequential_23\"\u001b[0m\n" - ], "text/html": [ "
Model: \"sequential_23\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
               "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
@@ -483,48 +471,60 @@
               "│ dense_75 (Dense)                │ (None, 10)             │           650 │\n",
               "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
               "
\n" + ], + "text/plain": [ + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", + "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", + "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", + "│ dense_73 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ dense_74 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ dense_75 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m) │ \u001b[38;5;34m650\u001b[0m │\n", + "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" }, { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m8,970\u001b[0m (35.04 KB)\n" - ], "text/html": [ "
 Total params: 8,970 (35.04 KB)\n",
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 Trainable params: 8,970 (35.04 KB)\n",
               "
\n" + ], + "text/plain": [ + "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m8,970\u001b[0m (35.04 KB)\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" }, { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" - ], "text/html": [ "
 Non-trainable params: 0 (0.00 B)\n",
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\n" + ], + "text/plain": [ + "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -611,8 +611,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/5\n", "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - accuracy: 0.3510 - loss: 3.4412 - val_accuracy: 0.8333 - val_loss: 0.5895\n", @@ -627,14 +627,14 @@ ] }, { - "output_type": "execute_result", "data": { "text/plain": [ "" ] }, + "execution_count": 103, "metadata": {}, - "execution_count": 103 + "output_type": "execute_result" } ], "source": [ @@ -671,20 +671,7 @@ }, { "cell_type": "code", - "source": [ - "import numpy as np\n", - "(X_train.shape[0] * 0.8) / 32\n", - "\n", - "NUM_TRAINING_SAMPLES = int(X_train.shape[0] * 0.8)\n", - "NUM_TRAINING_SAMPLES\n", - "\n", - "print(f\"Number of training samples: {NUM_TRAINING_SAMPLES}\")\n", - "print(f\"Number of validation samples: {X_train.shape[0] - NUM_TRAINING_SAMPLES}\")\n", - "# Batch sizes\n", - "print(f\"Batch size: {32}\")\n", - "# Number of steps\n", - "print(f\"Number of steps: {NUM_TRAINING_SAMPLES // 32}\")\n" - ], + "execution_count": 104, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -693,11 +680,10 @@ "id": "U_gNjnnGMOCk", "outputId": "df89e09c-c460-43c0-be92-6a95c08deb58" }, - "execution_count": 104, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Number of training samples: 1149\n", "Number of validation samples: 288\n", @@ -705,6 +691,20 @@ "Number of steps: 35\n" ] } + ], + "source": [ + "import numpy as np\n", + "(X_train.shape[0] * 0.8) / 32\n", + "\n", + "NUM_TRAINING_SAMPLES = int(X_train.shape[0] * 0.8)\n", + "NUM_TRAINING_SAMPLES\n", + "\n", + "print(f\"Number of training samples: {NUM_TRAINING_SAMPLES}\")\n", + "print(f\"Number of validation samples: {X_train.shape[0] - NUM_TRAINING_SAMPLES}\")\n", + "# Batch sizes\n", + "print(f\"Batch size: {32}\")\n", + "# Number of steps\n", + "print(f\"Number of steps: {NUM_TRAINING_SAMPLES // 32}\")\n" ] }, { @@ -732,8 +732,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[1m12/12\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.9636 - loss: 0.1401 \n", "Loss: 0.14\n", @@ -773,21 +773,21 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[1m12/12\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step \n" ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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Model: \"sequential_24\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
               "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
@@ -913,52 +901,64 @@
               "│ dense_78 (Dense)                │ (None, 10)             │           650 │\n",
               "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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\n" + ], + "text/plain": [ + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", + "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", + "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", + "│ dense_76 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ dense_77 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │\n", + "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", + "│ dense_78 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m) │ \u001b[38;5;34m650\u001b[0m │\n", + "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" }, { - "output_type": "display_data", "data": { - "text/plain": [ - "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m8,970\u001b[0m (35.04 KB)\n" - ], "text/html": [ "
 Total params: 8,970 (35.04 KB)\n",
               "
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 Trainable params: 8,970 (35.04 KB)\n",
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Model: \"sequential_25\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
               "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
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               "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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Model: \"sequential_26\"\n",
               "
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
               "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
@@ -1226,52 +1214,64 @@
               "│ dense_84 (Dense)                │ (None, 10)             │           650 │\n",
               "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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Model: \"sequential_27\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
               "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
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               "│ dense_87 (Dense)                │ (None, 10)             │           650 │\n",
               "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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Adding momentum to SGD or using an adaptive optimizer like Adam can improve the training process and lead to better accuracy. Adding more layers can improve performance but it's not guaranteed." - ], "metadata": { "id": "38wTiOfoul0I" - } + }, + "source": [ + "Observation: Using a learning rate that is too high or too low for basic SGD can significantly hurt performance. Adding momentum to SGD or using an adaptive optimizer like Adam can improve the training process and lead to better accuracy. Adding more layers can improve performance but it's not guaranteed." + ] }, { "cell_type": "markdown", @@ -1612,7 +1612,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "" ] }, + "execution_count": 112, "metadata": {}, - "execution_count": 112 + "output_type": "execute_result" } ], "source": [ @@ -1644,16 +1644,16 @@ }, { "cell_type": "code", + "execution_count": 113, + "metadata": { + "id": "AGh4OFE1wpkt" + }, + "outputs": [], "source": [ "# Each row in the tensor corresponds to one image. There are 10 columns, and each column represents one of the possible digit classes (0 through 9). The value in each cell is the probability that the model assigned to that particular image belonging to that specific digit class.\n", "# Example: [6.0732709e-06, 2.9026708e-04, 7.9058309e-06, 6.2368972e-06, 4.0833003e-04, 2.5095069e-04, 9.9806643e-01, 1.1068019e-05, 9.2542445e-04, 2.7402937e-05]\n", "# The highest probability is 9.9806643e-01 (which is very close to 1), located at the 6th index. This means the model is highly confident that the first image is a '6'." - ], - "metadata": { - "id": "AGh4OFE1wpkt" - }, - "execution_count": 113, - "outputs": [] + ] }, { "cell_type": "code", @@ -1668,14 +1668,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "(tensorflow.python.framework.ops.EagerTensor, TensorShape([360, 10]))" ] }, + "execution_count": 114, "metadata": {}, - "execution_count": 114 + "output_type": "execute_result" } ], "source": [ @@ -1707,7 +1707,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "" ] }, + "execution_count": 115, "metadata": {}, - "execution_count": 115 + "output_type": "execute_result" } ], "source": [ @@ -1759,14 +1759,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "" ] }, + "execution_count": 116, "metadata": {}, - "execution_count": 116 + "output_type": "execute_result" } ], "source": [ @@ -1801,14 +1801,14 @@ }, "outputs": [ { - 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1908,7 +1908,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "[,\n", @@ -1916,8 +1915,9 @@ " ]" ] }, + "execution_count": 119, "metadata": {}, - "execution_count": 119 + "output_type": "execute_result" } ], "source": [ @@ -1946,7 +1946,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "[]" ] }, + "execution_count": 120, "metadata": {}, - "execution_count": 120 + "output_type": "execute_result" } ], "source": [ @@ -1988,7 +1988,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "array([[ 0.00015817, -0.01590087, 0.00103594, ..., 0.00962818,\n", @@ -2006,8 +2005,9 @@ " -0.00714749, -0.00868595]], dtype=float32)" ] }, + "execution_count": 121, "metadata": {}, - "execution_count": 121 + "output_type": "execute_result" } ], "source": [ @@ -2028,14 +2028,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "np.float32(0.008835949)" ] }, + "execution_count": 122, "metadata": {}, - "execution_count": 122 + "output_type": "execute_result" } ], "source": [ @@ -2059,7 +2059,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", @@ -2068,8 +2067,9 @@ " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.], dtype=float32)" ] }, + "execution_count": 123, "metadata": {}, - "execution_count": 123 + "output_type": "execute_result" } ], "source": [ @@ -2090,8 +2090,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/15\n", "\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 4ms/step - accuracy: 0.1310 - loss: 2.2985\n", @@ -2129,14 +2129,14 @@ ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -2156,15 +2156,15 @@ }, { "cell_type": "code", - "source": [ - "# The plot visually shows training loss decreases over the epochs.\n", - "# A decreasing loss indicates that the model is learning and improving its performance on the training data with this specific initialization." - ], + "execution_count": 125, "metadata": { "id": "Uz53lEX81iFN" }, - "execution_count": 125, - "outputs": [] + "outputs": [], + "source": [ + "# The plot visually shows training loss decreases over the epochs.\n", + "# A decreasing loss indicates that the model is learning and improving its performance on the training data with this specific initialization." + ] }, { "cell_type": "markdown", @@ -2188,7 +2188,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "[]" ] }, + "execution_count": 126, "metadata": {}, - "execution_count": 126 + "output_type": "execute_result" } ], "source": [ @@ -2268,9 +2268,11 @@ }, { "cell_type": "code", + "execution_count": 127, "metadata": { "id": "be46c3cc" }, + "outputs": [], "source": [ "from tensorflow.keras import initializers\n", "from tensorflow.keras import optimizers\n", @@ -2292,12 +2294,11 @@ "\n", "model.compile(optimizer=optimizers.SGD(learning_rate=0.1),\n", " loss='categorical_crossentropy', metrics=['accuracy'])" - ], - "execution_count": 127, - "outputs": [] + ] }, { "cell_type": "code", + "execution_count": 128, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2306,24 +2307,10 @@ "id": "5fd830dd", "outputId": "b0898510-5fdd-4e5e-b956-88f75015d97b" }, - "source": [ - "# Training\n", - "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", - "\n", - "plt.figure(figsize=(12, 4))\n", - "plt.plot(history.history['loss'], label=\"Truncated Normal init (stddev=1e-3)\")\n", - "plt.legend();\n", - "\n", - "loss, accuracy = model.evaluate(X_test, y_test)\n", - "\n", - "print(f'Loss: {loss:.2f}')\n", - "print(f'Accuracy: {accuracy*100:.2f}%')" - ], - "execution_count": 128, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/15\n", "\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step - accuracy: 0.0954 - loss: 2.3030\n", @@ -2361,15 +2348,28 @@ ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "# Training\n", + "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.plot(history.history['loss'], label=\"Truncated Normal init (stddev=1e-3)\")\n", + "plt.legend();\n", + "\n", + "loss, accuracy = model.evaluate(X_test, y_test)\n", + "\n", + "print(f'Loss: {loss:.2f}')\n", + "print(f'Accuracy: {accuracy*100:.2f}%')" ] }, { @@ -2383,9 +2383,11 @@ }, { "cell_type": "code", + "execution_count": 129, "metadata": { "id": "7cc0e652" }, + "outputs": [], "source": [ "from tensorflow.keras import initializers\n", "from tensorflow.keras import optimizers\n", @@ -2407,12 +2409,11 @@ "\n", "model.compile(optimizer=optimizers.SGD(learning_rate=0.1),\n", " loss='categorical_crossentropy', metrics=['accuracy'])" - ], - "execution_count": 129, - "outputs": [] + ] }, { "cell_type": "code", + "execution_count": 130, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2421,24 +2422,10 @@ "id": "R0RNJQ3U3VlI", "outputId": "57857ca3-7b9f-4f66-f968-f735fea9dfc7" }, - "source": [ - "# Training\n", - "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", - "\n", - "plt.figure(figsize=(12, 4))\n", - "plt.plot(history.history['loss'], label=\"Truncated Normal init (stddev=1.0)\")\n", - "plt.legend();\n", - "\n", - "loss, accuracy = model.evaluate(X_test, y_test)\n", - "\n", - "print(f'Loss: {loss:.2f}')\n", - "print(f'Accuracy: {accuracy*100:.2f}%')" - ], - "execution_count": 130, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/15\n", "\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step - accuracy: 0.2127 - loss: 5.7789\n", @@ -2476,15 +2463,28 @@ ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "# Training\n", + "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.plot(history.history['loss'], label=\"Truncated Normal init (stddev=1.0)\")\n", + "plt.legend();\n", + "\n", + "loss, accuracy = model.evaluate(X_test, y_test)\n", + "\n", + "print(f'Loss: {loss:.2f}')\n", + "print(f'Accuracy: {accuracy*100:.2f}%')" ] }, { @@ -2508,9 +2508,11 @@ }, { "cell_type": "code", + "execution_count": 131, "metadata": { "id": "a9ab0c1e" }, + "outputs": [], "source": [ "from tensorflow.keras import initializers\n", "from tensorflow.keras import optimizers\n", @@ -2532,12 +2534,11 @@ "\n", "model.compile(optimizer=optimizers.SGD(learning_rate=0.1),\n", " loss='categorical_crossentropy', metrics=['accuracy'])" - ], - "execution_count": 131, - "outputs": [] + ] }, { "cell_type": "code", + "execution_count": 132, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2546,24 +2547,10 @@ "id": "R8O-GQuw3jnI", "outputId": "3e9b70a8-3f3f-4345-d31a-d3ea47ad8e52" }, - "source": [ - "# Training\n", - "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", - "\n", - "plt.figure(figsize=(12, 4))\n", - "plt.plot(history.history['loss'], label=\"Truncated Normal init (stddev=10.0)\")\n", - "plt.legend();\n", - "\n", - "loss, accuracy = model.evaluate(X_test, y_test)\n", - "\n", - "print(f'Loss: {loss:.2f}')\n", - "print(f'Accuracy: {accuracy*100:.2f}%')" - ], - "execution_count": 132, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/15\n", "\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 2ms/step - accuracy: 0.1196 - loss: 111.4976\n", @@ -2601,15 +2588,28 @@ ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "# Training\n", + "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.plot(history.history['loss'], label=\"Truncated Normal init (stddev=10.0)\")\n", + "plt.legend();\n", + "\n", + "loss, accuracy = model.evaluate(X_test, y_test)\n", + "\n", + "print(f'Loss: {loss:.2f}')\n", + "print(f'Accuracy: {accuracy*100:.2f}%')" ] }, { @@ -2623,9 +2623,11 @@ }, { "cell_type": "code", + "execution_count": 133, "metadata": { "id": "a85c147d" }, + "outputs": [], "source": [ "from tensorflow.keras import initializers\n", "from tensorflow.keras import optimizers\n", @@ -2647,12 +2649,11 @@ "\n", "model.compile(optimizer=optimizers.SGD(learning_rate=0.1),\n", " loss='categorical_crossentropy', metrics=['accuracy'])" - ], - "execution_count": 133, - "outputs": [] + ] }, { "cell_type": "code", + "execution_count": 134, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2661,24 +2662,10 @@ "id": "gcC8ElI34AWK", "outputId": "d9b43402-26f8-46f8-c587-120c42817b65" }, - "source": [ - "# Training the model for 15 epochs using the fit method and plots the training loss over epochs.\n", - "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", - "\n", - "plt.figure(figsize=(12, 4))\n", - "plt.plot(history.history['loss'], label=\"Zero init\")\n", - "plt.legend();\n", - "\n", - "loss, accuracy = model.evaluate(X_test, y_test)\n", - "\n", - "print(f'Loss: {loss:.2f}')\n", - "print(f'Accuracy: {accuracy*100:.2f}%')" - ], - "execution_count": 134, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/15\n", "\u001b[1m45/45\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 4ms/step - accuracy: 0.0986 - loss: 2.3029\n", @@ -2716,15 +2703,28 @@ ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "# Training the model for 15 epochs using the fit method and plots the training loss over epochs.\n", + "history = model.fit(X_train, y_train, epochs=15, batch_size=32)\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.plot(history.history['loss'], label=\"Zero init\")\n", + "plt.legend();\n", + "\n", + "loss, accuracy = model.evaluate(X_test, y_test)\n", + "\n", + "print(f'Loss: {loss:.2f}')\n", + "print(f'Accuracy: {accuracy*100:.2f}%')" ] }, { @@ -2738,6 +2738,7 @@ }, { "cell_type": "code", + "execution_count": 135, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2746,43 +2747,10 @@ "id": "e7881215", "outputId": "91ac9efe-76d1-48bd-b1ee-e3c37df464aa" }, - "source": [ - "from tensorflow.keras.optimizers import Adam\n", - "\n", - "# Modifying the optimizer in this cell to use Adam()\n", - "model.compile(\n", - " loss='categorical_crossentropy', # Loss function\n", - " optimizer=Adam(), # Optimizer\n", - " metrics=['accuracy'] # Metrics to evaluate the model\n", - ")\n", - "\n", - "# Training the model\n", - "history_adam = model.fit(\n", - " X_train, # Training data\n", - " y_train, # Training labels\n", - " epochs=15, # Number of epochs\n", - " batch_size=32, # Number of samples per batch\n", - " validation_split=0.2 # Use 20% of the data for validation\n", - ")\n", - "\n", - "plt.figure(figsize=(12, 4))\n", - "plt.plot(history_adam.history['loss'], label=\"Adam\")\n", - "plt.legend();\n", - "plt.title(\"Training Loss with Adam Optimizer\")\n", - "plt.xlabel(\"Epoch\")\n", - "plt.ylabel(\"Loss\")\n", - "plt.show()\n", - "\n", - "loss, accuracy = model.evaluate(X_test, y_test)\n", - "\n", - "print(f'Loss: {loss:.2f}')\n", - "print(f'Accuracy: {accuracy*100:.2f}%')" - ], - "execution_count": 135, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/15\n", "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 11ms/step - accuracy: 0.1173 - loss: 2.3009 - val_accuracy: 0.1076 - val_loss: 2.3042\n", @@ -2817,59 +2785,48 @@ ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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DiouLmTVrFjVq1KBTp06lXjv7rfrf7dixo9SCexV1Lcrq9OnT3Hnnnfj4+PDZZ5+d05E/O0XHz8+vUt8eUkTElilCFRERm3S2U/f3bxgLCgp47733rFVSKfb29nTv3p1vv/2WgwcPWrbv3LmTH3/8sVzOER0djZ+fH9OmTSs1nP/HH39k27Zt9O7dG4BTp06dcwu98PBwPD09LfudOHHinG9ro6KiAC45VSAsLIzg4GDeeOMNCgsLLZ3PLl26sGvXLr7++muuu+66c76t/aez933PzMy8+Bu/TDNnzqRLly7079+fu+66q9Tj6aefBuCzzz4D4Oabb+bgwYN8/fXXlv1PnTrFBx98UOqY5/v5MwyDt956q1xrv5COHTvSvXt3pk+fzrx58855fcyYMezYsYNnnnnmnJE13377balbT65fv55169aVWsuioq5FWT366KPs2LGDOXPmlFon4qzY2Fi8vLx4+eWXz7vGxZEjR65FmSIiVZpGBoiIiE3q2LEjNWrUYNCgQTzxxBOYTCZmzJhhU8P0X3jhBX766Sc6derE0KFDKS4u5p133qFZs2YkJSWV6RiFhYXnDJEG8PX15bHHHmPSpEkMGTKEbt26cc8991huLVivXj2eeuopoORb3xtvvJG7776bJk2a4ODgwJw5c8jIyGDAgAEAfPzxx7z33nvccccdhIeHk5OTw4cffoiXlxc333zzJevs0qULn3/+Oc2bN7d03lq3bo27uzs7duzg3nvvveQxzo4ceOKJJ4iNjcXe3t5S35Vat24dO3fuZNiwYed9PTg4mNatWzNz5kxGjRrFww8/zDvvvMPAgQP57bffCAwMZMaMGefcii4yMpLw8HBGjhzJgQMH8PLy4ptvvinzXPjy8Mknn3DjjTdy++23c++999KlSxfy8/OZPXs2y5Yto3///paw4+8iIiLo3LkzQ4cOJT8/nzfffJOaNWvyzDPPWNpUxLUoqx9++IFPPvmEvn37smnTJst0BwAPDw/69OmDl5cXU6dO5YEHHqB169YMGDCA2rVrk5aWxg8//ECnTp145513rkm9IiJVlcIAERGxSTVr1mTevHmMGDGC5557jho1anD//fdz4403Ehsba+3ygJIO1Y8//sjIkSMZO3YsISEhvPTSS2zbtq1MdzuAktEOY8eOPWd7eHg4jz32GIMHD8bNzY1XXnmFUaNG4e7uzh133MGkSZMsdwgICQnhnnvuYfHixcyYMQMHBwciIyP58ssvLYuydevWjfXr1/P555+TkZGBt7c37dq1Y+bMmRe93/1ZZ8OAzp07W7Y5ODjQoUMHfv755zKtF3DnnXfy+OOP8/nnn/Ppp59iGMZVd0BnzpwJwK233nrBNrfeeisvvPACmzZtokWLFixevJjHH3+ct99+Gzc3N+677z5uuukmevXqZdnH0dGR77//nieeeIKEhARcXFy44447GDZsGC1btryqmssqMDCQ9evX89prr/HVV1/xzTff4ODgQIsWLUhMTGTgwIHnHe4/cOBA7OzsePPNNzl8+DDt2rXjnXfeITAw0NKmIq5FWZ39Vv+bb77hm2++KfVaaGgoffr0AeDee+8lKCiIV155hVdffZX8/HyCg4Pp0qXLee8+IiIil8dk2NJXLCIiIlVAnz592Lp163nnbotUlD179hAWFsarr77KyJEjrV2OiIjYOK0ZICIichVOnz5d6nlKSgrz588nJibGOgWJiIiIlIGmCYiIiFyF+vXrM3jwYOrXr8/evXuZOnUqTk5OpeZni4iIiNgahQEiIiJXoVevXnz22Wekp6fj7OxMhw4dePnll897v3sRERERW6E1A0RERERERESqGa0ZICIiIiIiIlLNKAwQERERERERqWa0ZkAFMpvNHDx4EE9Pz/PeB1hERERERESkPBmGQU5ODkFBQdjZXfj7f4UBFejgwYOEhIRYuwwRERERERGpZvbt20edOnUu+LrCgArk6ekJlFwELy8vK1cjIiIiIiIiVV12djYhISGW/uiFKAyoQGenBnh5eSkMEBERERERkWvmUlPVtYCgiIiIiIiISDWjMEBERERERESkmlEYICIiIiIiIlLNaM0AERERERERKTeGYVBUVERxcbG1S6mS7O3tcXBwuOrb1ysMEBERERERkXJRUFDAoUOHOHXqlLVLqdLc3NwIDAzEycnpio+hMEBERERERESumtlsJjU1FXt7e4KCgnBycrrqb6+lNMMwKCgo4MiRI6SmptKgQQPs7K5s9r/CABEREREREblqBQUFmM1mQkJCcHNzs3Y5VZarqyuOjo7s3buXgoICXFxcrug4WkBQREREREREys2VflMtZVcen7GukoiIiIiIiEg1ozBA+GXXURZsOWTtMkREREREROQaURhQzS1LPsy9H65j1DebOZyTZ+1yREREREREKoUXXniBqKgoa5dxxRQGVHOdI2rRNMiLrNOFvPj9n9YuR0RERERExGrWrFmDvb09vXv3tnYpFU5hQDXnYG/HpL4tsLcz8cOmQyz6M8PaJYmIiIiIiFjFRx99xOOPP86KFSs4ePCgtcupUAoDhGbB3jzcpT4AY7/dQnZeoZUrEhERERGRqsAwDE4VFFnlYRjGZdV68uRJvvjiC4YOHUrv3r1JTEws9forr7yCv78/np6ePPTQQ+TllZ5mvWHDBnr06EGtWrXw9vamW7dubNy4sVQbk8nE+++/zy233IKbmxuNGzdmzZo17Ny5k5iYGNzd3enYsSO7du26os/7cpiMy/2EpMyys7Px9vYmKysLLy8va5dzUXmFxcS+uYK9x05x/3V1mdCnubVLEhERERGRSiQvL4/U1FTCwsJwcXEB4FRBEU3GLbRKPX++FIubk0OZ2//vf/9j6tSpbNiwgXnz5hEfH09KSgomk4kvv/ySgQMH8u6779K5c2dmzJjBlClTqF+/PklJSQAsWbKEgwcPEh0djWEYvPbaa8ybN4+UlBQ8PT2BkjAgODiY119/naioKEaNGkVSUhL169fnmWeeoW7dujz44IP4+Pjw448/XrDW833WZ5W1H6qRAQKAi6M9CXeWBACfrk1jw57jVq5IRERERETk2vnoo4+4//77AejVqxdZWVksX74cgDfffJOHHnqIhx56iEaNGjFhwgSaNGlSav8bbriB+++/n8jISBo3bswHH3zAqVOnLMc4a8iQIdx99900bNiQUaNGsWfPHu677z5iY2Np3LgxTz75JMuWLavw91v2mESqvI7htegfHcIXv+5j9Deb+OGJLrg42lu7LBERERERqaRcHe3586VYq527rJKTk1m/fj1z5swBwMHBgf79+/PRRx8RExPDtm3bePTRR0vt06FDB5YuXWp5npGRwXPPPceyZcs4fPgwxcXFnDp1irS0tFL7tWjRwvJnf39/AJo3b15qW15eHtnZ2RU6wlxhgJTy75sbsyT5MLuO5PLu0p2M6NnI2iWJiIiIiEglZTKZLmuovrV89NFHFBUVERQUZNlmGAbOzs688847ZTrGoEGDOHbsGG+99RahoaE4OzvToUMHCgoKSrVzdHS0/NlkMl1wm9lsvuL3UxaaJiCleLs58tJtTQGYumwX29OzrVyRiIiIiIhIxSkqKuKTTz7htddeIykpyfL4448/CAoK4rPPPqNx48asW7eu1H5r164t9Xz16tU88cQT3HzzzTRt2hRnZ2eOHj16Ld/KZbH9iEauuV7NAujZxJ+f/sxg1DebmT20I/Z2JmuXJSIiIiIiUu7mzZvHiRMneOihh/D29i71Wt++ffnoo48YOXIkgwcPJjo6mk6dOjFz5ky2bt1K/fr1LW0bNGjAjBkziI6OJjs7m6effhpXV9dr/XbKTCMD5Bwmk4mXbm+Gp7MDf+zL5ONf9li7JBERERERkQrx0Ucf0b1793OCACgJA3799VcaN27M2LFjeeaZZ2jTpg179+5l6NCh5xznxIkTtG7dmgceeIAnnngCPz+/a/U2LptVby2YkJDA7Nmz2b59O66urnTs2JFJkybRqNGF56nPnj2bl19+mZ07d1JYWEiDBg0YMWIEDzzwgKWNYRg8//zzfPjhh2RmZtKpUyemTp1KgwYNLG0mTpzIDz/8QFJSEk5OTmRmZp73fImJibz++uvs2LEDLy8v+vXrx7vvvlum91eZbi14PrPWpfHvOZtxdbTnp6e6EuLrZu2SRERERETERl3sdndSvir9rQWXL19OXFwca9euZdGiRRQWFtKzZ09yc3MvuI+vry9jxoxhzZo1bNq0iSFDhjBkyBAWLvzr3pWTJ09mypQpTJs2jXXr1uHu7k5sbCx5eXmWNgUFBfTr1++cNOfvXn/9dcaMGcPo0aPZunUrP//8M7Gx1lkJ0xoGtA2hXZgvpwuLGfPtFqyYG4mIiIiIiEg5surIgH86cuQIfn5+LF++nK5du5Z5v9atW9O7d2/Gjx+PYRgEBQUxYsQIRo4cCUBWVhb+/v4kJiYyYMCAUvsmJiYSHx9/zsiAEydOEBwczPfff8+NN954Re+nso8MANh15CQ3vbWSgiIzb/RvyR2t6li7JBERERERsUEaGXDtVPqRAf+UlZUFlHz7XxaGYbB48WKSk5Mt4UFqairp6el0797d0s7b25v27duzZs2aMteyaNEizGYzBw4coHHjxtSpU4e7776bffv2XXCf/Px8srOzSz0qu/DaHjx5Y8n0ipe+/5NjJ/OtXJGIiIiIiIhcLZsJA8xmM/Hx8XTq1IlmzZpdtG1WVhYeHh44OTnRu3dv3n77bXr06AFAeno6AP7+/qX28ff3t7xWFrt378ZsNvPyyy/z5ptv8vXXX3P8+HF69Ohxzn0iz0pISMDb29vyCAkJKfP5bNkjXesTGeDJiVOFvDTvT2uXIyIiIiIiIlfJZsKAuLg4tmzZwueff37Jtp6eniQlJbFhwwYmTpzI8OHDWbZsWbnWYzabKSwsZMqUKcTGxnLdddfx2WefkZKSwtKlS8+7z7PPPktWVpblcbFRBJWJo70dk/q2wM4Ec5MOsnT7YWuXJCIiIiIiNsqGZqJXWeXxGdtEGDBs2DDmzZvH0qVLqVPn0nPS7ezsiIiIICoqihEjRnDXXXeRkJAAQEBAAAAZGRml9snIyLC8VhaBgYEANGnSxLKtdu3a1KpVi7S0tPPu4+zsjJeXV6lHVdEyxIcHO4UBMGbOZk7mF1m5IhERERERsSWOjo4AnDp1ysqVVH1nP+Ozn/mVcCivYq6EYRg8/vjjzJkzh2XLlhEWFnZFxzGbzeTnl8xlDwsLIyAggMWLFxMVFQWULKCwbt26i9454J86deoEQHJysiWgOH78OEePHiU0NPSK6qzshvdsyMI/09l3/DT/WZjMC7c1tXZJIiIiIiJiI+zt7fHx8eHw4ZKRxG5ubphMJitXVbUYhsGpU6c4fPgwPj4+2NvbX/GxrBoGxMXFMWvWLObOnYunp6dlTr+3tzeurq4ADBw4kODgYMs3/wkJCURHRxMeHk5+fj7z589nxowZTJ06FQCTyUR8fDwTJkygQYMGhIWFMXbsWIKCgujTp4/l3GlpaRw/fpy0tDSKi4tJSkoCICIiAg8PDxo2bMjtt9/Ok08+yQcffICXlxfPPvsskZGRXH/99dfuQ7Ihbk4OvHxHcx74aD0fr9nDrS2DaBNaw9pliYiIiIiIjTg7GvtsICAVw8fH57JGvp+PVcOAsx34mJiYUtunT5/O4MGDgZJOu53dX7MZcnNzeeyxx9i/fz+urq5ERkby6aef0r9/f0ubZ555htzcXB555BEyMzPp3LkzCxYsKHXLhXHjxvHxxx9bnrdq1QqApUuXWur55JNPeOqpp+jduzd2dnZ069aNBQsWXNVQjMquS4Pa9G1dh2827mf0N5v44YkuODnYxGwTERERERGxMpPJRGBgIH5+fhQWFlq7nCrJ0dHxqkYEnGUytLpDhSnr/R0rmxO5BXR/fTnHcgt4qntDnuzewNoliYiIiIiICGXvh+orXblsNdydeP7MegHvLE0hJSPHyhWJiIiIiIjI5VAYIFfk1haB3BjpR2GxwejZmzGbNcBERERERESkslAYIFfEZDIxvk8z3J3s+W3vCT5dt9faJYmIiIiIiEgZKQyQKxbk48qomyIBmPTjdg5mnrZyRSIiIiIiIlIWCgPkqtzfPpQ2oTXILShm7Ldb0HqUIiIiIiIitk9hgFwVOzsTr9zZHCd7OxZvP8z3mw5ZuyQRERERERG5BIUBctUa+HsSd30EAC9+t5UTuQVWrkhEREREREQuRmGAlIuhMeE09PfgWG4BE37YZu1yRERERERE5CIUBki5cHKwI+HOFphM8M3G/axMOWLtkkREREREROQCFAZIuWkTWoNBHeoB8OzszZwqKLJuQSIiIiIiInJeCgOkXI2MbUSwjyv7T5zm9Z92WLscEREREREROQ+FAVKuPJwdmHBHMwD+tzqVP/ZlWrcgEREREREROYfCACl31zfy4/aoIMwGjPpmE4XFZmuXJCIiIiIiIn+jMEAqxLhbmlDDzZHt6Tl8sGK3tcsRERERERGRv1EYIBWipocz425tAsBbi1PYdeSklSsSERERERGRsxQGSIXpExVM14a1KSgy8+zszZjNhrVLEhERERERERQGSAUymUxM7NMMNyd71qce5/MN+6xdkoiIiIiIiKAwQCpYiK8bI3s2AiBh/jbSs/KsXJGIiIiIiIgoDJAKN6hjPVqG+JCTX8TYuVswDE0XEBERERERsSaFAVLh7O1MTOrbHAc7E4v+zGDBlnRrlyQiIiIiIlKtKQyQayIywIuhMeEAjPtuK1mnCq1ckYiIiIiISPWlMECumWE3RBBe250jOfm8PH+btcsRERERERGpthQGyDXj7GDPK31bAPDFr/v4ZedRK1ckIiIiIiJSPSkMkGuqbT1f7r+uLgDPztlMXmGxlSsSERERERGpfhQGyDU3qlckAV4u7D12ijd/TrF2OSIiIiIiItWOwgC55jxdHBnfpxkAH67czZYDWVauSEREREREpHpRGCBW0aOJP71bBFJsNhj1zSaKis3WLklERERERKTaUBggVvPCrU3xdnVk68FsPlqVau1yREREREREqg2FAWI1tT2dGdO7MQCvL9rBnqO5Vq5IRERERESkerBqGJCQkEDbtm3x9PTEz8+PPn36kJycfNF9Zs+eTXR0ND4+Pri7uxMVFcWMGTNKtTEMg3HjxhEYGIirqyvdu3cnJaX0QnUTJ06kY8eOuLm54ePjc95zmUymcx6ff/75Vb1nKa1fmzp0iqhJfpGZf8/ZjGEY1i5JRERERESkyrNqGLB8+XLi4uJYu3YtixYtorCwkJ49e5Kbe+FviH19fRkzZgxr1qxh06ZNDBkyhCFDhrBw4UJLm8mTJzNlyhSmTZvGunXrcHd3JzY2lry8PEubgoIC+vXrx9ChQy9a4/Tp0zl06JDl0adPn6t+3/IXk8nEy3c0x8XRjl92HeOrX/dbuyQREREREZEqz2TY0FexR44cwc/Pj+XLl9O1a9cy79e6dWt69+7N+PHjMQyDoKAgRowYwciRIwHIysrC39+fxMREBgwYUGrfxMRE4uPjyczMPOe4JpOJOXPmXHEAkJ2djbe3N1lZWXh5eV3RMaqLD1bs4uX52/FyceDnEd3w83SxdkkiIiIiIiKVTln7oTa1ZkBWVskt5nx9fcvU3jAMFi9eTHJysiU8SE1NJT09ne7du1vaeXt70759e9asWXPZNcXFxVGrVi3atWvH//73v4sOY8/Pzyc7O7vUQ8rmwU5hNA/2JjuviBe/+9Pa5YiIiIiIiFRpNhMGmM1m4uPj6dSpE82aNbto26ysLDw8PHBycqJ37968/fbb9OjRA4D09HQA/P39S+3j7+9vea2sXnrpJb788ksWLVpE3759eeyxx3j77bcv2D4hIQFvb2/LIyQk5LLOV5052NvxSt/m2NuZ+GHzIX7aennXSkRERERERMrOwdoFnBUXF8eWLVtYtWrVJdt6enqSlJTEyZMnWbx4McOHD6d+/frExMSUa01jx461/LlVq1bk5uby6quv8sQTT5y3/bPPPsvw4cMtz7OzsxUIXIamQd480rU+U5ftYuzcLVwXXhMvF0drlyUiIiIiIlLl2MTIgGHDhjFv3jyWLl1KnTp1Ltnezs6OiIgIoqKiGDFiBHfddRcJCQkABAQEAJCRkVFqn4yMDMtrV6p9+/bs37+f/Pz8877u7OyMl5dXqYdcnidvbEC9mm5kZOcz6cft1i5HRERERESkSrJqGGAYBsOGDWPOnDksWbKEsLCwKzqO2Wy2dNDDwsIICAhg8eLFltezs7NZt24dHTp0uKp6k5KSqFGjBs7Ozld1HLkwF0d7Eu5sAcDMdWmsTz1u5YpERERERESqHqtOE4iLi2PWrFnMnTsXT09Py5x+b29vXF1dARg4cCDBwcGWb/4TEhKIjo4mPDyc/Px85s+fz4wZM5g6dSpQcgeA+Ph4JkyYQIMGDQgLC2Ps2LEEBQWVuitAWloax48fJy0tjeLiYpKSkgCIiIjAw8OD77//noyMDK677jpcXFxYtGgRL7/8suUOBVJxOoTX5J52IXy2fh+jv9nE/Ce74OJob+2yREREREREqgyrhgFnO/D/nOs/ffp0Bg8eDJR02u3s/hrAkJuby2OPPcb+/ftxdXUlMjKSTz/9lP79+1vaPPPMM+Tm5vLII4+QmZlJ586dWbBgAS4uf92ubty4cXz88ceW561atQJg6dKlxMTE4OjoyLvvvstTTz2FYRhERETw+uuv8/DDD5f3xyDnMfqmxvy87TC7j+byzpKdjIxtZO2SREREREREqgyTcbF75clVKev9HeX8Fmw5xKOfbsTBzsT3j3emcaA+QxERERERkYspaz/UJhYQFDmfXs0CiW3qT5HZYPQ3myg2K7cSEREREREpDwoDxKa9dHszPF0c+GN/FtNXp1q7HBERERERkSpBYYDYNH8vF/59c2MAXvtpB/uOn7JyRSIiIiIiIpWfwgCxef2jQ2gf5svpwmL+PWczWuZCRERERETk6igMEJtnZ2ci4c7mODnYsTLlKHN+P2DtkkRERERERCo1hQFSKdSv7UF89wYAvDTvT46ezLdyRSIiIiIiIpWXwgCpNB7uUp/GgV5knirkpe//tHY5IiIiIiIilZbCAKk0HO3tmNS3OXYm+O6PgyzZnmHtkkRERERERColhQFSqbSo48NDncMAeG7OFk7mF1m5IhERERERkcpHYYBUOsN7NKKurxsHs/J4dcF2a5cjIiIiIiJS6SgMkErH1cmel+9oDsAna/fy297jVq5IRERERESkclEYIJVS5wa1uKtNHQwDRn2zmfyiYmuXJCIiIiIiUmkoDJBK67nejanl4cTOwyeZumyXtcsRERERERGpNBQGSKXl4+bEC7c1BeDdpTvZkZFj5YpEREREREQqB4UBUqn1bh5I98Z+FBYbjPpmE8Vmw9oliYiIiIiI2DyFAVKpmUwmxvdphoezA7+nZfLp2r3WLklERERERMTmKQyQSi/Q25VRvRoBMHnBdg5knrZyRSIiIiIiIrZNYYBUCfe1DyU6tAa5BcU8N2czhqHpAiIiIiIiIheiMECqBDs7E6/0bY6TvR1Lk4/w3R8HrV2SiIiIiIiIzVIYIFVGhJ8nw26IAODF7//keG6BlSsSERERERGxTQoDpEp5tFs4jfw9OZ5bwIQf/rR2OSIiIiIiIjZJYYBUKU4OdrzStzkmE8zeeIDlO45YuyQRERERERGbozBAqpxWdWswuGM9AP49ezO5+UXWLUhERERERMTGKAyQKmlkz0YE+7hyIPM0ry/aYe1yREREREREbIrCAKmS3J0dmHhHMwCmr04laV+mdQsSERERERGxIQoDpMqKaeTHHa2CMRsw+ptNFBSZrV2SiIiIiIiITVAYIFXa2Fua4OvuxPb0HD5Yscva5YiIiIiIiNgEhQFSpfm6OzHuliYATFm8k52HT1q5IhEREREREeuzahiQkJBA27Zt8fT0xM/Pjz59+pCcnHzRfWbPnk10dDQ+Pj64u7sTFRXFjBkzSrUxDINx48YRGBiIq6sr3bt3JyUlpVSbiRMn0rFjR9zc3PDx8bnoOY8dO0adOnUwmUxkZmZeyVsVK7o9KoiYRrUpKDbz79mbMZsNa5ckIiIiIiJiVVYNA5YvX05cXBxr165l0aJFFBYW0rNnT3Jzcy+4j6+vL2PGjGHNmjVs2rSJIUOGMGTIEBYuXGhpM3nyZKZMmcK0adNYt24d7u7uxMbGkpeXZ2lTUFBAv379GDp06CXrfOihh2jRosXVvVmxGpPJxIQ+zXBzsmf9nuPMWp9m7ZJERERERESsymQYhs18TXrkyBH8/PxYvnw5Xbt2LfN+rVu3pnfv3owfPx7DMAgKCmLEiBGMHDkSgKysLPz9/UlMTGTAgAGl9k1MTCQ+Pv6C3/hPnTqVL774gnHjxnHjjTdy4sSJS44kOCs7Oxtvb2+ysrLw8vIq8/uRijF9dSovfv8nHs4O/Dy8GwHeLtYuSUREREREpFyVtR9qU2sGZGVlASXf/peFYRgsXryY5ORkS3iQmppKeno63bt3t7Tz9vamffv2rFmz5rLq+fPPP3nppZf45JNPsLO79EeVn59PdnZ2qYfYjoEd6hEV4sPJ/CKe+3YL+UXF1i5JRERERETEKhysXcBZZrOZ+Ph4OnXqRLNmzS7aNisri+DgYPLz87G3t+e9996jR48eAKSnpwPg7+9fah9/f3/La2WRn5/PPffcw6uvvkrdunXZvXv3JfdJSEjgxRdfLPM55NqytzMx+a4W9J6ykp+3ZdB03ELq13anUYAXkQGeNPL3JDLQk2AfV0wmk7XLFRERERERqTA2EwbExcWxZcsWVq1adcm2np6eJCUlcfLkSRYvXszw4cOpX78+MTEx5VbPs88+S+PGjbn//vsva5/hw4dbnmdnZxMSElJuNcnVa+jvyYQ+zXh5/nayTheyI+MkOzJO8v0ff7XxdHagYYAnjQI8aRzgSaMALxoFeOLt6mi9wkVERERERMqRTYQBw4YNY968eaxYsYI6depcsr2dnR0REREAREVFsW3bNhISEoiJiSEgIACAjIwMAgMDLftkZGQQFRVV5pqWLFnC5s2b+frrr4GSKQkAtWrVYsyYMecdAeDs7Iyzs3OZzyHW0b9tXe6ODiE9O4/t6Tkkp+ew/VA229Nz2HXkJDn5Rfy29wS/7T1Rar8gbxcanQkHIgNKRhHUr+WBk4NNzbYRERERERG5JKuGAYZh8PjjjzNnzhyWLVtGWFjYFR3HbDaTn58PQFhYGAEBASxevNjS+c/OzmbdunVlunPAWd988w2nT5+2PN+wYQMPPvggK1euJDw8/IrqFNthMpkI9HYl0NuV6xv5WbYXFpvZfSSX7enZJJ8NCtJzOJB5moNZeRzMymNp8hFLewc7E+G1PWh0JhyIPBMWBHm7aKqBiIiIiIjYLKuGAXFxccyaNYu5c+fi6elpmdPv7e2Nq6srAAMHDiQ4OJiEhASgZF5+dHQ04eHh5OfnM3/+fGbMmMHUqVOBkk5efHw8EyZMoEGDBoSFhTF27FiCgoLo06eP5dxpaWkcP36ctLQ0iouLSUpKAiAiIgIPD49zOvxHjx4FoHHjxmW+m4BUPo72dme+/fcstT07r5AdZ4KBs0HB9vQccvKKSM7IITkjh+/+PtXAxeFMMPDXSIJGAZ54uWiqgYiIiIiIWJ9Vw4CzHfh/zvWfPn06gwcPBko67X9fyT83N5fHHnuM/fv34+rqSmRkJJ9++in9+/e3tHnmmWfIzc3lkUceITMzk86dO7NgwQJcXP66ldy4ceP4+OOPLc9btWoFwNKlS8t17QGpGrxcHImu50t0vb/udGEYBoey8tienv236QZnphrkFbFhzwk27Ck91SDYx9USNkQGeBIZ4EX92u442muqgYiIiIiIXDsm4+xkeCl3Zb2/o1QtBUVmdh89SXJ6DtsO5ZB8ZiTBway887Z3tC+ZahD5j/UIArw01UBERERERC5PWfuhCgMqkMIA+busU4UlUwr+NpIgOT2HnPyi87b3cnEg8sydDM6uR9DQ3xNPTTUQEREREZELUBhgAxQGyKUYhsGBzNOWNQhKQoJsdh/Jpch8/r+awT6uNA4svR5BWC1NNRAREREREYUBNkFhgFyp/KJidh3OJTmjZBTB9kMlowjSs88/1cDJ3o5wPw/LQoVn1yPw93LWVAMRERERkWqkrP1Qqy4gKCLn5+xgT5MgL5oElf7Lm3mq4JxRBMnpOeQWFLPtUDbbDmWXau/t6kijAE8aB3jSt00dWtTxuYbvQkREREREbJVGBlQgjQyQa8FsLplqcDYcOBsUpB7NpfhvUw3sTPBYTARP3NgAJwdNKRARERERqYo0TcAGKAwQa8orLGbXkZNsP5TDku2H+WHzIQAaB3rxWr+W54w6EBERERGRyk9hgA1QGCC25MfNhxjz7RaO5xbgaG8ivntD/q9rfRy08KCIiIiISJVR1n6oegEi1cRNzQP56amu9GziT2GxwasLk7lr2hp2HTlp7dJEREREROQaUxggUo3U8nDm/Qfa8PrdLfF0cSBpXyY3v7WS/61KxXyBWxmKiIiIiEjVozBApJoxmUzc2boOPz3VlS4NapFfZOaleX9y73/Xsu/4KWuXJyIiIiIi14DCAJFqKtDblU8ebMeEPs1wc7Jn7e7j9HpzBZ+vT0NLiYiIiIiIVG0KA0SqMZPJxP3XhfLjk11oW68GuQXFjJ69mQcTN5CRnWft8kREREREpIIoDBARQmu68/kjHRhzc2OcHOxYmnyEnm+sYG7SAY0SEBERERGpghQGiAgA9nYmHu5anx8e70zzYG+yThfy5OdJxM3ayLGT+dYuT0REREREypHCABEppYG/J7Mf68hT3RviYGdi/uZ0Yt9cwU9b061dmoiIiIiIlBOFASJyDkd7O57s3oBv4zrR0N+DoycLeGTGbwz/Moms04XWLk9ERERERK6SwgARuaBmwd58/3hnHu0Wjp0JZm88QK83V7Ay5Yi1SxMRERERkaugMEBELsrZwZ7RN0Xy1aMdqFfTjUNZeTzw0Xqe+3YzuflF1i5PRERERESugMIAESmTNqG+zH+yC4M6hALw6do0bp6ykg17jlu5MhERERERuVwKA0SkzNycHHjx9mbM/Fd7grxd2HvsFHe/v4aX528jr7DY2uWJiIiIiEgZKQwQkcvWKaIWC57qSr82dTAM+GDFbm59exWb92dZuzQRERERESkDhQEickW8XBx5tV9L/jswmloezqQcPkmf91bzxqIdFBabrV2eiIiIiIhchMIAEbkq3Zv4s+iprvRuEUix2eCtxSnc8d5qdmTkWLs0ERERERG5AIUBInLVarg78e69rXn7nlb4uDmy5UA2t0xZxfvLd1FsNqxdnoiIiIiI/IPCABEpN7e2DOKn+K7cEOlHQbGZhB+3c/f7a9hzNNfapYmIiIiIyN8oDBCRcuXn5cJHg6KZ3LcFHs4O/Lb3BDe9tZJP1uzBrFECIiIiIiI2QWGAiJQ7k8nE3W1DWBDfhQ71a3K6sJhxc7cy8H/rOZB52trliYiIiIhUewoDRKTC1Knhxsx/teeFW5vg4mjHqp1H6fXGCr76dR+GoVECIiIiIiLWckVhwL59+9i/f7/l+fr164mPj+eDDz4ot8JEpGqwszMxuFMY85/oQqu6PuTkF/H015t4+JPfOJyTZ+3yRERERESqpSsKA+69916WLl0KQHp6Oj169GD9+vWMGTOGl156qczHSUhIoG3btnh6euLn50efPn1ITk6+6D6zZ88mOjoaHx8f3N3diYqKYsaMGaXaGIbBuHHjCAwMxNXVle7du5OSklKqzcSJE+nYsSNubm74+Picc55jx47Rq1cvgoKCcHZ2JiQkhGHDhpGdnV3m9ycif6lf24OvH+3IqF6RONnb8fO2DGLfWMEPmw5ZuzQRERERkWrnisKALVu20K5dOwC+/PJLmjVrxi+//MLMmTNJTEws83GWL19OXFwca9euZdGiRRQWFtKzZ09ycy+88rivry9jxoxhzZo1bNq0iSFDhjBkyBAWLlxoaTN58mSmTJnCtGnTWLduHe7u7sTGxpKX99e3kAUFBfTr14+hQ4ee9zx2dnbcfvvtfPfdd+zYsYPExER+/vlnHn300TK/PxEpzd7OxNCYcL57vBNNAr04caqQuFkbefyz38k8VWDt8kREREREqg2TcQUTdz08PNiyZQv16tXjtttuo1OnTowaNYq0tDQaNWrE6dNXtkDYkSNH8PPzY/ny5XTt2rXM+7Vu3ZrevXszfvx4DMMgKCiIESNGMHLkSACysrLw9/cnMTGRAQMGlNo3MTGR+Ph4MjMzL3meKVOm8Oqrr7Jv374y1ZWdnY23tzdZWVl4eXmV+f2IVAcFRWbeWZLCu8t2UWw2qO3pzKS+zbkh0t/apYmIiIiIVFpl7Yde0ciApk2bMm3aNFauXMmiRYvo1asXAAcPHqRmzZpXVjElnXYo+fa/LAzDYPHixSQnJ1vCg9TUVNLT0+nevbulnbe3N+3bt2fNmjVXXNvBgweZPXs23bp1u2Cb/Px8srOzSz1E5PycHOwY3rMRs4d2JLy2O0dy8nkw8VdGfb2JnLxCa5cnIiIiIlKlXVEYMGnSJN5//31iYmK45557aNmyJQDfffedZfrA5TKbzcTHx9OpUyeaNWt20bZZWVl4eHjg5ORE7969efvtt+nRowdQsoYBgL9/6W8X/f39La9djnvuuQc3NzeCg4Px8vLiv//97wXbJiQk4O3tbXmEhIRc9vlEqpuWIT788EQX/tU5DJMJvvh1H73eXMkvO49auzQRERERkSrrisKAmJgYjh49ytGjR/nf//5n2f7II48wbdq0KyokLi6OLVu28Pnnn1+yraenJ0lJSWzYsIGJEycyfPhwli1bdkXnvZQ33niDjRs3MnfuXHbt2sXw4cMv2PbZZ58lKyvL8ijrdAKR6s7F0Z7nbmnC5w9fR4ivKwcyT3Pvf9fxwndbOV1QbO3yRERERESqHIcr2en06dMYhkGNGjUA2Lt3L3PmzKFx48bExsZe9vGGDRvGvHnzWLFiBXXq1Llkezs7OyIiIgCIiopi27ZtJCQkEBMTQ0BAAAAZGRkEBgZa9snIyCAqKuqyawsICCAgIIDIyEh8fX3p0qULY8eOLXXss5ydnXF2dr7sc4hIifb1a7Lgya68PH8bM9elkfjLHpbvOMJ/+rWkTWgNa5cnIiIiIlJlXNHIgNtvv51PPvkEgMzMTNq3b89rr71Gnz59mDp1apmPYxgGw4YNY86cOSxZsoSwsLArKQez2Ux+fj4AYWFhBAQEsHjxYsvr2dnZrFu3jg4dOlzR8f9+HsByLhEpf+7ODky8ozkfP9iOAC8XUo/m0m/aL0xasJ38Io0SEBEREREpD1cUBmzcuJEuXboA8PXXX+Pv78/evXv55JNPmDJlSpmPExcXx6effsqsWbPw9PQkPT2d9PT0UncjGDhwIM8++6zleUJCAosWLWL37t1s27aN1157jRkzZnD//fcDYDKZiI+PZ8KECXz33Xds3ryZgQMHEhQURJ8+fSzHSUtLIykpibS0NIqLi0lKSiIpKYmTJ08CMH/+fKZPn86WLVvYs2cPP/zwA48++iidOnWiXr16V/Kxichl6NawNgvju3Jnq2DMBkxdtovb31nN1oNZ1i5NRERERKTSu6JpAqdOncLT0xOAn376iTvvvBM7Ozuuu+469u7dW+bjnB1FEBMTU2r79OnTGTx4MFDSabez+yuzyM3N5bHHHmP//v24uroSGRnJp59+Sv/+/S1tnnnmGXJzc3nkkUfIzMykc+fOLFiwABcXF0ubcePG8fHHH1uet2rVCoClS5cSExODq6srH374IU899RT5+fmEhIRw5513Mnr06DK/PxG5Ot5ujrzeP4qeTf0ZM2cL29NzuP2d1Tx5YwOGxoTjYH9FeaaIiIiISLVnMgzDuNydWrRowb/+9S/uuOMOmjVrxoIFC+jQoQO//fYbvXv3vqJV+6uist7fUUQu7ejJfMbM2czCrRkAtKzjzWt3RxHh52HlykREREREbEdZ+6FX9LXauHHjGDlyJPXq1aNdu3aWufg//fST5Rt2EZHyVMvDmWn3t+GN/i3xdHHgj/1Z9J6ykv+u3I3ZfNmZpoiIiIhItXZFIwMA0tPTOXToEC1btrQM41+/fj1eXl5ERkaWa5GVlUYGiFSMQ1mnGfXNZlbsOAJAuzBfXuvXkhBfNytXJiIiIiJiXWXth15xGHDW/v37Acp0S8DqRmGASMUxDIPP1u9jwg9/cqqgGDcne57r3YR72oVgMpmsXZ6IiIiIiFVU6DQBs9nMSy+9hLe3N6GhoYSGhuLj48P48eMtt98TEalIJpOJe9vXZcGTXWkX5supgmL+PWczg6ZvID0rz9rliYiIiIjYtCsKA8aMGcM777zDK6+8wu+//87vv//Oyy+/zNtvv83YsWPLu0YRkQuqW9ONzx++jud6N8bJwY4VO47Q843lfPXrPoq1loCIiIiIyHld0TSBoKAgpk2bxm233VZq+9y5c3nsscc4cOBAuRVYmWmagMi1tfNwDiO+/IM/9mcBUL+WO4/GhHNHq2AcdRtCEREREakGKnSawPHjx8+7SGBkZCTHjx+/kkOKiFy1CD9PvhnakVG9IvF2dWT30Vye+XoTMa8u45M1e8grLLZ2iSIiIiIiNuGKwoCWLVvyzjvvnLP9nXfeoUWLFlddlIjIlXKwt2NoTDirR9/AszdFUsvDmQOZpxk3dyudJy1l2vJd5OQVWrtMERERERGruqJpAsuXL6d3797UrVuXDh06ALBmzRr27dvH/Pnz6dKlS7kXWhlpmoCI9eUVFvPVb/uZtmwXBzJPA+Dl4sDgTmEM6ViPGu5OVq5QRERERKT8VOg0gW7durFjxw7uuOMOMjMzyczM5M4772Tr1q3MmDHjiosWESlvLo72PHBdKMuejuE//VpSv7Y72XlFTFmcQqdJS5j4w58cztbdB0RERESkermikQEX8scff9C6dWuKizUvFzQyQMQWFZsNFm5N592lO9l6MBsAJ3s7+kXX4dFu4YT4ulm5QhERERGRK1ehIwNERCorezsTNzcPZN7jnZk+pC3RoTUoKDYzc10aMf9ZxvAvkth5OMfaZYqIiIiIVCgHaxcgImINJpOJ6xv5EdOwNutTj/PO0p2sTDnK7N8PMCfpALFNAoi7PoLmdbytXaqIiIiISLlTGCAi1ZrJZKJ9/Zq0r1+TTfszeXfpThZuzWDB1nQWbE2na8PaDLs+gnZhvtYuVURERESk3FzWmgF33nnnRV/PzMxk+fLlWjPgDK0ZIFI57cjIYeqyXXz3x0GKzSX/i2xbrwZx10fQrWFtTCaTlSsUERERETm/svZDLysMGDJkSJnaTZ8+vayHrNIUBohUbmnHTjFtxS6+/nU/BcVmAJoFexEXE0Fs0wDs7BQKiIiIiIhtqZAwQC6PwgCRqiE9K48PV+5m1ro0TheWjHyK8PNgaLdwbosKwtFea7GKiIiIiG1QGGADFAaIVC3HcwuYvjqVxF/2kJNXBECdGq482i2cu9rUwcXR3soVioiIiEh1pzDABigMEKmacvIKmbF2Lx+tTOVYbgEAfp7OPNylPve2r4u7s9ZmFRERERHrUBhgAxQGiFRtpwuK+WJDGu+v2M2hrDwAfNwcGdIxjEEdQ/Fxc7JyhSIiIiJS3SgMsAEKA0Sqh4IiM9/+foCpy3eRejQXAHcne+7vEMq/OtentqezlSsUERERkepCYYANUBggUr0Umw3mbz7Eu0t3sj09BwBnBzv6tw3hka71qVPDzcoVioiIiEhVpzDABigMEKmeDMNg8bbDvLN0J0n7MgFwsDPRp1UwQ2PCCa/tYd0CRURERKTKUhhgAxQGiFRvhmGwZtcx3l22k9U7jwFgMsHNzQJ57PpwmgZ5W7lCEREREalqFAbYAIUBInLWxrQTvLd0Jz9vO2zZdkOkH3HXh9Mm1NeKlYmIiIhIVaIwwAYoDBCRf9p2KJv3lu3ih00HMZ/5v+919X2Juz6CzhG1MJlM1i1QRERERCo1hQE2QGGAiFxI6tFcpi3bxezf91NYXPK/4ZZ1vIm7PoLujf2xs1MoICIiIiKXT2GADVAYICKXcjDzNB+s2M3nG9LIKzQD0Mjfk8euD6d380Ac7O2sXKGIiIiIVCYKA2yAwgARKaujJ/P536pUZqzZS05+EQChNd14tFs4d7YOxtnB3soVioiIiEhlUNZ+qFW/ckpISKBt27Z4enri5+dHnz59SE5Ovug+s2fPJjo6Gh8fH9zd3YmKimLGjBml2hiGwbhx4wgMDMTV1ZXu3buTkpJSqs3EiRPp2LEjbm5u+Pj4nHOeP/74g3vuuYeQkBBcXV1p3Lgxb7311lW/ZxGR86nl4cwzvSJZNfoGRvRoSA03R/YeO8WzszfTbfIyPlqVyqmCImuXKSIiIiJVhFXDgOXLlxMXF8fatWtZtGgRhYWF9OzZk9zc3Avu4+vry5gxY1izZg2bNm1iyJAhDBkyhIULF1raTJ48mSlTpjBt2jTWrVuHu7s7sbGx5OXlWdoUFBTQr18/hg4det7z/Pbbb/j5+fHpp5+ydetWxowZw7PPPss777xTfh+AiMg/eLs68viNDVg9+gae690Yfy9n0rPzGD/vTzpPWso7S1LIOl1o7TJFREREpJKzqWkCR44cwc/Pj+XLl9O1a9cy79e6dWt69+7N+PHjMQyDoKAgRowYwciRIwHIysrC39+fxMREBgwYUGrfxMRE4uPjyczMvOR54uLi2LZtG0uWLClTXZomICJXK7+omG9+O8C05btIO34KAE9nBx7oEMpDncOo6eFs5QpFRERExJZUimkC/5SVlQWUfPtfFoZhsHjxYpKTky3hQWpqKunp6XTv3t3Sztvbm/bt27NmzZqrru9iteXn55OdnV3qISJyNZwd7Lm3fV2WjOjGm/2jaODnQU5+Ee8t20WnSUt48futHMo6be0yRURERKSScbB2AWeZzWbi4+Pp1KkTzZo1u2jbrKwsgoODyc/Px97envfee48ePXoAkJ6eDoC/v3+pffz9/S2vXYlffvmFL774gh9++OGCbRISEnjxxRev+BwiIhfiYG9Hn1bB3NYyiEXbMnh36U427c9i+uo9fLp2L7e1DKaurxv2dmAymbAzmbC3A7szf7YzgZ2dyfL8wu3Ofc1kMmF/nuOUamcyYTKBfRleK3UMkwnTmfOfr53JpFssioiIiFQEmwkD4uLi2LJlC6tWrbpkW09PT5KSkjh58iSLFy9m+PDh1K9fn5iYmAqpbcuWLdx+++08//zz9OzZ84Ltnn32WYYPH255np2dTUhISIXUJCLVk52didimAfRs4s+qnUd5Z8lO1qUe55uN+61dWoUwmS4cFDQN8mZIp3rc2NgfezuFBiIiIiKXwybCgGHDhjFv3jxWrFhBnTp1Ltnezs6OiIgIAKKioti2bRsJCQnExMQQEBAAQEZGBoGBgZZ9MjIyiIqKuuza/vzzT2688UYeeeQRnnvuuYu2dXZ2xtlZ83dFpOKZTCa6NKhNlwa1+XXPcX7YfIj8IjNms4HZMDAbWP5cbIDZMDAMg2Lzua8Zxpk//+M185n9Sl4r3c4woPjMc7P53HbFhoH5Iu3MZVyt5uz+xZy7w5rdx1iz+xihNd14sFMYd7Wpg7uzTfyzJiIiImLzrPpbk2EYPP7448yZM4dly5YRFhZ2Rccxm83k5+cDEBYWRkBAAIsXL7Z0/rOzs1m3bt0F7xxwIVu3buWGG25g0KBBTJw48YpqExGpaNH1fImuV7a1VmyFYZQOCgyDM2HEP8KFC7x2urCY7/44yKx1aew9dornv9vKaz8lc0+7ugzqWI8gH1drv0URERERm2bVMCAuLo5Zs2Yxd+5cPD09LXP6vb29cXUt+UVu4MCBBAcHk5CQAJTMy4+OjiY8PJz8/Hzmz5/PjBkzmDp1KlDybVl8fDwTJkygQYMGhIWFMXbsWIKCgujTp4/l3GlpaRw/fpy0tDSKi4tJSkoCICIiAg8PD7Zs2cINN9xAbGwsw4cPt9Rmb29P7dq1r9EnJCJSNZnODPu348qH9zcO9OLxGyL45rf9/G/1HlKP5vL+it38d1UqNzcP5KHOYUSF+JRf0SIiIiJViFVvLXihhaGmT5/O4MGDAYiJiaFevXokJiYC8Nxzz/HFF1+wf/9+XF1diYyM5Mknn6R///6W/Q3D4Pnnn+eDDz4gMzOTzp07895779GwYUNLm8GDB/Pxxx+fc+6lS5cSExPDCy+8cN7FAENDQ9mzZ0+Z3p9uLSgicm2YzQZLth/mo1WprNl9zLI9OrQGD3UOo2fTAK0rICIiItVCWfuhVg0DqjqFASIi197Wg1l8tCqV7/84SGFxyT9xIb6uDO4Yxt3RdfB0cbRyhSIiIiIVR2GADVAYICJiPYez8/hkzV5mrtvLiVOFAHg6O9C/bQiDOtYjxNfNyhWKiIiIlD+FATZAYYCIiPWdLihm9u/7+d+qVHYdyQXAzgS9mgXwUOf6tAmtYeUKRURERMqPwgAboDBARMR2mM0Gy1OO8NHKVFbtPGrZHhXiw0Odw7ipWQAO9nZWrFBERETk6ikMsAEKA0REbNP29Gz+tyqVb38/SEGxGYBgH1cGdQylf9u6eLtqXQERERGpnBQG2ACFASIitu1ITj6frt3Lp2v3ciy3AAB3J3v6RYcwpFM9Qmu6W7lCERERkcujMMAGKAwQEakc8gqLmZt0gI9WpbIj4yQAJhP0bOLPQ53r07ZejQveDldERETEligMsAEKA0REKhfDMFiZcpSPVqWyfMcRy/bmwd78q0sYNzcPxFHrCoiIiIgNUxhgAxQGiIhUXikZOfxv9R5mb9xPflHJugIBXi4M7BjKve3q4uPmZOUKRURERM6lMMAGKAwQEan8jp3MZ9a6ND5es5ejJ/MBcHW05642dRjSqR71a3tYuUIRERGRvygMsAEKA0REqo78omK+/+MQH61KZduhbKBkXYEbI/14sHMYHerX1LoCIiIiYnUKA2yAwgARkarHMAzW7DrGR6tSWbz9sGV7k0AvHuocxq0tg3By0LoCIiIiYh0KA2yAwgARkapt15GTTF+dyte/7SevsGRdAT9PZwZ2COXe9qH4umtdAREREbm2FAbYAIUBIiLVw4ncAmatT+OTNXvIyC5ZV8DZwY6+berwYKcwIvy0roCIiIhcGwoDbIDCABGR6qWgyMz8zYf476rdbDmQbdke06g2/+pcn04RWldAREREKpbCABugMEBEpHoyDIP1qcf576pUft6Wwdl/aSMDPHmwcxi3tQzCxdHeukWKiIhIlaQwwAYoDBARkT1Hc0n8ZQ9f/rqPUwXFANTycOL+60K5/7pQank4W7lCERERqUoUBtgAhQEiInJW1qlCPt+Qxse/7OFgVh4ATg523BEVzIOdw2gU4GnlCkVERKQqUBhgAxQGiIjIPxUWm/lxSzofrUrlj32Zlu1dGtTioc5hdGtYW+sKiIiIyBVTGGADFAaIiMiFGIbBxrQT/HdlKgu3pmM+869xhJ8HD3UO445WwVpXQERERC6bwgAboDBARETKYt/xUyT+socvNuzjZH4RAL7uTtzXvi4PdAjFz9PFyhWKiIhIZaEwwAYoDBARkcuRk1fIFxv2MX31Hg5kngbAyd6OW1sG8VDnMJoE6d8SERERuTiFATZAYYCIiFyJomIzP/2ZwUerUvlt7wnL9pubBzC8RyMi/DysWJ2IiIjYMoUBNkBhgIiIXK3f007w31WpzN98CMMAOxP0axPCk90bEOTjau3yRERExMYoDLABCgNERKS8JKfn8OrCZH7elgGU3JZwUIdQHouJoIa7k5WrExEREVuhMMAGKAwQEZHy9tveE0xasJ31qccB8HR24OGu9Xmocxjuzg5Wrk5ERESsTWGADVAYICIiFcEwDJbvOMLkBcn8eSgbgFoeTgy7PoJ72tfF2UG3JBQREamuFAbYAIUBIiJSkcxmg3mbD/H6T8nsOXYKgDo1XBneoyG3RwVjb2eycoUiIiJyrSkMsAEKA0RE5FooLDbz5a/7eOvnFA7n5APQyN+TkbGN6N7YD5NJoYCIiEh1UdZ+qN01rOkcCQkJtG3bFk9PT/z8/OjTpw/JyckX3Wf27NlER0fj4+ODu7s7UVFRzJgxo1QbwzAYN24cgYGBuLq60r17d1JSUkq1mThxIh07dsTNzQ0fH5/znuuJJ56gTZs2ODs7ExUVdTVvVUREpMI42ttxX/tQlj99PaN6ReLl4kByRg4Pf/Irfaf+wrrdx6xdooiIiNgYq4YBy5cvJy4ujrVr17Jo0SIKCwvp2bMnubm5F9zH19eXMWPGsGbNGjZt2sSQIUMYMmQICxcutLSZPHkyU6ZMYdq0aaxbtw53d3diY2PJy8uztCkoKKBfv34MHTr0ojU++OCD9O/f/+rfrIiISAVzdbJnaEw4K5+5gcdiwnFxtGNjWib9P1jL4Onr2Xowy9olioiIiI2wqWkCR44cwc/Pj+XLl9O1a9cy79e6dWt69+7N+PHjMQyDoKAgRowYwciRIwHIysrC39+fxMREBgwYUGrfxMRE4uPjyczMvODxX3jhBb799luSkpIu6/1omoCIiFjT4ew8pixJ4fP1+ygyl/xzf2vLIEb0aEi9Wu5Wrk5EREQqQqWYJvBPWVkl31j4+vqWqb1hGCxevJjk5GRLeJCamkp6ejrdu3e3tPP29qZ9+/asWbOm/Iv+m/z8fLKzs0s9RERErMXPy4UJfZrz8/Bu3NYyCIDv/zhI99eXM2bOZjKy8y5xBBEREamqbCYMMJvNxMfH06lTJ5o1a3bRtllZWXh4eODk5ETv3r15++236dGjBwDp6ekA+Pv7l9rH39/f8lpFSUhIwNvb2/IICQmp0POJiIiURb1a7ky5pxU/PNGZ6xvVpshsMHNdGt1eXcorP24n61ShtUsUERGRa8xmwoC4uDi2bNnC559/fsm2np6eJCUlsWHDBiZOnMjw4cNZtmxZxRd5Cc8++yxZWVmWx759+6xdkoiIiEXTIG+mD2nHF49cR5vQGuQVmpm2fBddJi/hvWU7OV1QbO0SRURE5BpxsHYBAMOGDWPevHmsWLGCOnXqXLK9nZ0dERERAERFRbFt2zYSEhKIiYkhICAAgIyMDAIDAy37ZGRkVPgdAZydnXF2dq7Qc4iIiFyt9vVr8vWjHVi87TCvLkwmOSOHyQuSSVy9h8dvbMCAtiE42tvM9wUiIiJSAaz6L71hGAwbNow5c+awZMkSwsLCrug4ZrOZ/PyS+yqHhYUREBDA4sWLLa9nZ2ezbt06OnToUC51i4iIVHYmk4nuTfyZ/2QX3ujfkjo1XDmck8/Yb7fQ/fXlzE06gNlsM2sMi4iISDmz6siAuLg4Zs2axdy5c/H09LTM6ff29sbV1RWAgQMHEhwcTEJCAlAyLz86Oprw8HDy8/OZP38+M2bMYOrUqUDJLzfx8fFMmDCBBg0aEBYWxtixYwkKCqJPnz6Wc6elpXH8+HHS0tIoLi623CkgIiICDw8PAHbu3MnJkydJT0/n9OnTljZNmjTBycnpGnxCIiIiFcvezsQdrerQu3kQn61P4+0lKew9doonP09i2vLdPNOrETENa2MymaxdqoiIiJQjq95a8EK/WEyfPp3BgwcDEBMTQ7169UhMTATgueee44svvmD//v24uroSGRnJk08+Sf/+/S37G4bB888/zwcffEBmZiadO3fmvffeo2HDhpY2gwcP5uOPPz7n3EuXLiUmJsZy7uXLl5/TJjU1lXr16l3y/enWgiIiUtnk5hcxfXUq7y/fTU5+EQDt6vnyTK9GRNcr291+RERExHrK2g+1ahhQ1SkMEBGRyupEbgFTl+8i8Zc9FBSZAeje2I+RsY2IDNC/aSIiIrZKYYANUBggIiKV3aGs00xZnMKXv+6n2GxgMsEdUcE81aMhIb5u1i5PRERE/kFhgA1QGCAiIlXFriMnef2nHfyw+RAAjvYm7m1Xl2E3NKC2p+6kIyIiYisUBtgAhQEiIlLVbNqfyasLk1mZchQANyd7HuocxsNd6+Pl4mjl6kRERERhgA1QGCAiIlXVLzuPMmlhMn/sywTAx82Rx2LCGdihHi6O9tYtTkREpBpTGGADFAaIiEhVZhgGC7dm8J+fktl5+CQAAV4uxHdvwF1t6uBgb2flCkVERKofhQE2QGGAiIhUB0XFZmb/foA3F+3gYFYeAPVruzOyZyNuahZwwVsJi4iISPlTGGADFAaIiEh1kldYzMx1aby7dCfHcwsAaB7szTO9GtE5opZCARERkWtAYYANUBggIiLVUU5eIf9dmcp/V+4mt6AYgI7hNXmmVyRRIT7WLU5ERKSKUxhgAxQGiIhIdXbsZD7vLt3Fp2v3UlBsBqBX0wBGxjYkws/TytWJiIhUTQoDbIDCABEREdh/4hRv/pzC7I37MRtgZ4K+resQ36MhwT6u1i5PRESkSlEYYAMUBoiIiPxlR0YO/1mYzE9/ZgDgZG/HAx1CeSwmnJoezlauTkREpGpQGGADFAaIiIica2PaCSYv2M7a3ccB8HB24F9dwvhXl/p4ODtYuToREZHKTWGADVAYICIicn6GYbAy5SiTF25ny4FsAHzdnRh2fQT3XVcXZwd7K1coIiJSOSkMsAEKA0RERC7ObDaYv+UQr/20g9SjuQAE+7gS370BfVoF42hvZ+UKRUREKheFATZAYYCIiEjZFBab+fq3/bz58w4ysvOBkukD19WvSdeGtejSoDb1arphMpmsXKmIiIhtUxhgAxQGiIiIXJ68wmI+/mUPH67czdGTBaVeq1PDlS4NSoKBjuE18XFzslKVciUKi81sPpDFml3HWLv7GAdOnObWlkH8q0sYni6O1i5PRKTKUBhgAxQGiIiIXBmz2WDrwWxWpBxhVcpRft17nMLiv35lsTNB8zo+dD0TDrSq66MpBTamqNjMloPZls7/r3uOk1tQfE67Gm6OPBYTwQMdQnFx1FoRIiJXS2GADVAYICIiUj5OFRSxbvdxVqYcZWXKEVIOnyz1uruTPR3Ca9KlQW26NKhFWC13TSm4xoqKzfx56K/O/4Y9JziZX1SqjY+bI+3DfOlQvyaeLo68u2wnu4+UrBUR4OXCEzc2oF90HQU7IiJXQWGADVAYICIiUjEOZZ1mZcpRVqUcZdXOoxzPLT2lINjnrykFnSI0paAiFJsNtv2t878+9Tg5/+j8e7k40L5+TTrUr8l19WsSGeCJnd1fIU1RsZnZGw/w5s87OJiVB0C9mm481aMht7YIKtVWRETKRmGADVAYICIiUvHMZoM/D2VbRg38uucEBcVmy+smE7QI9raMGmhVtwZODvrm+XKZzQbb0s92/o+zPvUY2XmlO/+eLg60D/PlujOd/8aBXtiXoUOfV1jMrHVpvLt0J8fOBDuNA714OrYh1zfy0ygPEZHLoDDABigMEBERufZOFRSxLvU4q86EAzsyzp1ScF39miUjBxrWpr6mFJyX2WyQnJFj+eZ/Xepxsk4Xlmrj4exAuzPD/q+rX5MmQWXr/F/Iyfwipq9K5YMVuy2jDKJDa/B0bCPa1695Ve9Hrq29x3I5lJVH+zBf/f0SucYUBtgAhQEiIiLWl56Vx8qUI6zaWTKt4Ng/phQEebuUjBpoWItO4bWo4V49pxSYzQYph0+yZtdR1u4+zrrUY5w4Vbrz7+5kT9u/df6bBnnhUAHz+0/kFjBt+S4Sf9lDflHJKI+uDWvzTGwjmgV7l/v5pHwYhsGqnUeZvnoPS5MPYxjQrWFtJt7RjDo13Kxdnki1oTDABigMEBERsS1npxSs2lkyamBD6rlTCpoHe1vWG2hdhacUGIbBzsMnWbO75Jv/tbuPn7P2gpuTPdH1znb+fWke7F0hnf8LycjOY8riFL7YsI8ic8mvrDc3D2B4j0ZE+Hlcszrk4k4XFDP79/0krt5TanFPR3sThcUGbk72jOoVyQPXhWodCJFrQGGADVAYICIiYttOFxSzLvXYmSkFR0nOyCn1utvfpxQ0qE147co7pcAwDHYdybV0/tftPsbRk6U7/66O9kTXq2GZ89+ijrdNrOy/52gub/68g7l/HMQwSm4teVebOjzZvSHBPq7WLq/aOpB5mk/W7OHz9fssU0jcnezpFx3CoI71MBsGo7/ZxIY9JwBoE1qDSX2bE+Hnac2yRao8hQE2QGGAiIhI5ZKRnWdZa2DVzqPndJYDvV3+dpeCWvja8JQCwzBIPXq283+ctbuPcSQnv1QbZwc7ouvVsAz7b1HHx6ZHQmw7lM1rP+3g520ZADjZ23HfdXWJuz6CWh7OVq6uejAMgw17TjB9dSoLt6ZzZsAGdX3dGNSxHv2i6+Dl4mhpbzYbzFy3l1d+3E5uQTFO9nY8fkMEj8aE20TQJFIVKQywAQoDREREKq+zq+efHTWwfs9xCopKTyloFvS3KQWhPjg72FutXsMw2Hvs1N+G/R8jI7t059/JwY42dWvQIbyk898yxNuqNV+p3/ae4NWF21m7+zhQMoLjoc5hPNy1fqmOqJSf/KJivv/jENNXp7L1YLZle6eImgzpGMb1kX4XXTzyQOZpnpuzmaXJRwCIDPBk8l0taFHHp6JLF6l2FAbYAIUBIiIiVUdeYTHrU4+zMuUIK1OOsj299JQCV0d7rqvvS5cGtenasBbhtT0qdEqBYRjsO36aNbtLFvxbs+sY6dl5pdo42dvRqq6PpfMfFeKDi2Pl6/yfz9nF6l5dmMym/VkA+Lg5MrRbOAM71MPVqWq8T2s7nJPHp2vTmLVur2WkjLODHXe2DmZwxzAaBZR9yL9hGHz3x0Fe+G4rJ04VYmeCf3Wpz1PdG+p6iZQjhQE2QGGAiIhI1XU4O+/MQoQlj6MnS38LH+DlYrl9YafwmtQsh2Hs+47/7Zv/Xcc4mFW68+9ob6JVSA2uCy9Z8K913RpVpvN/IYZhsHBrOv/5aQc7zyxe5+fpzBM3NqB/2xANRb9Cm/ZnMn31HuZtOkhhcUl3IdDbhQc6hHJP27pXddeNYyfzeWnen8xNOghAaE03Eu5oTseIWuVSu0h1pzDABigMEBERqR4Mw2B7eo5l1MD61OOWW+Kd1SzYq+QWhg1q0Sa0RpmG5x/IPM2aXSWd/zW7jnEg83Sp1x3tTbSs89c3/63r1qi237AWmw3m/H6ANxbtsHxOdX3dGN6jIbe2DLroEHYpUVRsZsHWdKav3sNve09YtrcJrcGQTvWIbRpQruHKku0ZjJmzhUNnQq0BbUN49ubGeLtqqofI1agUYUBCQgKzZ89m+/btuLq60rFjRyZNmkSjRo0uuM/s2bN5+eWX2blzJ4WFhTRo0IARI0bwwAMPWNoYhsHzzz/Phx9+SGZmJp06dWLq1Kk0aNDA0mbixIn88MMPJCUl4eTkRGZm5jnnSktLY+jQoSxduhQPDw8GDRpEQkICDg4OZXp/CgNERESqp7zCYjbsOc7KlKOs2HHkvFMK2p+ZUtClQS0a+JVMKTiU9bfO/+5j7DteuvPvYGeiRR1vS+e/TWgN3JzK9ntJdZFfVMxn69J4Z+lOy7D2Rv6ejIxtRPfGfpX2bhAV6URuAZ9tSGPGmr2WjrmjvYlbWgQxuGM9Wob4VNi5c/IKmbRgO5+uTQNKRnWM79OM2KYBFXZOkaquUoQBvXr1YsCAAbRt25aioiL+/e9/s2XLFv7880/c3d3Pu8+yZcs4ceIEkZGRODk5MW/ePEaMGMEPP/xAbGwsAJMmTSIhIYGPP/6YsLAwxo4dy+bNm/nzzz9xcXEB4Pnnn8fHx4f9+/fz0UcfnRMGFBcXExUVRUBAAK+++iqHDh1i4MCBPPzww7z88stlen8KA0RERARK5l2v3nmUlTuOsnLn0XNW9ff3csbF0Z69x06V2m5vZ6J58F+d/+jQGrg7q/NfFqcKipi+eg/Tlu8iJ68IgNZ1fXg6NpIO4TWtXJ1tSE7PIfGXVOb8foC8wpKRLLU8nLi3fSj3t6+Ln5fLNatl3e5jPDt7M7uP5gJwc/MAXritKX6e164GkaqiUoQB/3TkyBH8/PxYvnw5Xbt2LfN+rVu3pnfv3owfPx7DMAgKCmLEiBGMHDkSgKysLPz9/UlMTGTAgAGl9k1MTCQ+Pv6cMODHH3/klltu4eDBg/j7+wMwbdo0Ro0axZEjR3ByuvQ8KYUBIiIi8k+GYZCckcPKHUdZkXKk1JQCOxM0D/Y+M+e/Jm3r+eKhzv9VyTxVwPsrdjN9daqlw9ulQS2ejm1ULVeyN5sNlmw/zPRfUlm985hle9MgL4Z0CuPWloFWu8NEXmExUxan8P6K3RSbDbxdHXmud2PualNHIzpELkNZ+6E29a9LVlbJSrC+vr5lam8YBkuWLCE5OZlJkyYBkJqaSnp6Ot27d7e08/b2pn379qxZs+acMOBC1qxZQ/PmzS1BAEBsbCxDhw5l69attGrV6px98vPzyc//K+nPzs4+p42IiIhUbyaTicgALyIDvHi4a33yCov5be8JCovNtAmtgadujVeufNycGNUrkiEd6/H2kp18tj7Nsuhjr6YBjIxtSIRf2VfEr6xy8gr56tf9fLxmj2UEip0JYpsGMKRTGG3r1bB6h9vF0Z5nekXSu0Ugo77ZxJYD2Tz99Sa+++MgL9/RnBBfN6vWJ1LV2EwYYDabiY+Pp1OnTjRr1uyibbOysggODiY/Px97e3vee+89evToAUB6ejpAqU782ednXyuL9PT08x7j7+f4p4SEBF588cUyn0NERETExdGeTlpFvcL5ebkwvk8zHu5Snzd/3sGcpAMs2JrOT3+mc0erOsR3b1AlO5upR3P5+Jc9fPXrPnILigHwcnHgnnZ1eaBDKHVq2N57bhrkzbePdeK/q1J5Y9EOVqYcpecbK3g6thGDOtbTYpAi5cRmwoC4uDi2bNnCqlWrLtnW09OTpKQkTp48yeLFixk+fDj169cnJiam4gu9iGeffZbhw4dbnmdnZxMSEmLFikRERETk7+rWdOP1/lE8GhPOfxYm89OfGXyzcT/f/XGA+9qHEnd9BLU9r/42kNZkGAardh5l+uo9LE0+zNlJwRF+HgzuWI87Wwfb/MKTDvZ2PNotnNimAYz+ZhPrUo/z0rw/+e6Pg0y+qwUN/av+aA6RimYT/xcYNmwY8+bNY8WKFdSpU+eS7e3s7IiIiAAgKiqKbdu2kZCQQExMDAEBJSuPZmRkEBgYaNknIyODqKioMtcUEBDA+vXrS23LyMiwvHY+zs7OODtX7n88RERERKqDhv6efDAwmqR9mby6cDurdx4j8Zc9fLFhHw92rscjXcMr3S3uThcUM/v3/SSu3kPK4ZOW7dc3qs2QTmF0aVDL6lMBLldYLXc+e/g6PtuQxivzt5O0L5PeU1YSd30Ej8VE4ORQfrc6FKlurPq3xzAMhg0bxpw5c1iyZAlhYWFXdByz2WyZqx8WFkZAQACLFy+2vJ6dnc26devo0KFDmY/ZoUMHNm/ezOHDhy3bFi1ahJeXF02aNLmiOkVERETEtkSF+DDzX9cx81/taRniw+nCYt5duosuk5bw3rKdnCoosnaJl3Qg8zQJP27juoTFjJmzhZTDJ3F3smdwx3osHRnD9CHt6NqwdqULAs6yszNxX/tQfhrele6N/SgsNnjz5xRueXslv6edsHZ5IpWWVUcGxMXFMWvWLObOnYunp6dlLr63tzeurq4ADBw4kODgYBISEoCSefnR0dGEh4eTn5/P/PnzmTFjBlOnTgVKFuWJj49nwoQJNGjQwHJrwaCgIPr06WM5d1paGsePHyctLY3i4mKSkpIAiIiIwMPDg549e9KkSRMeeOABJk+eTHp6Os899xxxcXH69l9ERESkiukUUYtvw2vy058ZvPZTMjsyTjJ5QTLTV+/h8RsiGNC2rk19C20YBr/uPcH01aks3JpBsblkLkBdXzcGdaxHv+g6eFWxxSgDvV35cGA08zYd4oXvtrIj4yR3Tv2FIR3DGBnb0OanPojYGqveWvBC6eT06dMZPHgwADExMdSrV4/ExEQAnnvuOb744gv279+Pq6srkZGRPPnkk/Tv39+yv2EYPP/883zwwQdkZmbSuXNn3nvvPRo2bGhpM3jwYD7++ONzzr106VLL2gN79+5l6NChLFu2DHd3dwYNGsQrr7yCg0PZ/kejWwuKiIiIVD7FZoO5SQd44+cd7Dt+GoAQX1ee6t6Q26OCrbqAXX5RMfP+OMT0X1LZcuCvO1d1DK/JkE5h3BDpVy0W2DuRW8D4eX8y+/cDANSp4cord7agcwMtxilS1n6oVcOAqk5hgIiIiEjlVVBk5osNaUxZspMjOSVTUhv6ezCiZyN6NvG/psPuD+fkMXNtGjPXpXH0ZEktzg523NEqmMGd6hEZUD1/11yWfJgxc7ZwILMktOnXpg7P9W6Ct1vVGhUhcjkUBtgAhQEiIiIild+pgiISf9nDtGW7yM4rWUOgZYgPz8Q2qvDbQm7en8X01al8v+kghcUlv7YHeLnwQIdQ7mlXF193pwo9f2VwMr+I/yxM5uM1ezAMqOXhzPjbm3JT88BL7yxSBSkMsAEKA0RERESqjqzThXywYhf/W7WH04XFAHSKqMnIno1oVbdGuZ2nqNjMwq0ZTF+dyq97/1ogr3VdH4Z0CqNXswAc7W1n/QJb8dve4zzz9SZ2HckFILapP+Nvb4afl4uVKxO5thQG2ACFASIiIiJVz5GcfN5dupOZ6/Zavq3v2cSfET0b0SjA84qPm3mqgM/W72PGmj0czMoDwNHeRO/mgQzpFEbLEJ/yKL9Kyy8q5t0lO3lv2S6KzAaeLg4817sxd0eHVNq7KYhcLoUBNkBhgIiIiEjVte/4Kd5anMLsjfsxG2AywR1RwcR3b0jdmm5lPs6OjBymr97DnN/3k1doBqCmuxP3ta/L/deF6pvtK7DtUDajvtnEpv1ZQMkCiwl3Nie0pruVKxOpeAoDbIDCABEREZGqLyUjh9cX7eDHLSW3yXa0NzGgbV0evyHigh15s9lgyfbDTP8lldU7j1m2Nwn0YkinetzaMggXR/trUn9VVVRsZvrqPby2KJm8QjMujnaM6NGIIZ3q4aBpFlKFKQywAQoDRERERKqPTfszeXVhMitTjgLg4mjH4I5hDO0WblndPievkK9+3c/Ha/aw99gpAOxM0LNJAEM61aNdmK+Gs5ezvcdyGf3NZtbsLgldWtTxZlLfFjQO1O/nUjUpDLABCgNEREREqp81u44xeeF2fk/LBMDTxYGHu9TneG4BX/+2n5P5JXck8HJxYEC7ujxwXSghvmWfViCXzzAMvvx1HxN+2EZOXhEOdiaGxoQz7IYInB00AkOqFoUBNkBhgIiIiEj1ZBgGi7cd5j8/JbM9PafUaxF+HgzuWI87Wwfj5uRgpQqrp4zsPMZ+u4Wf/swASq7FpL7NaRPqa+XKRMqPwgAboDBAREREpHorNhvM23SQT9bspYabIwM71KNLg1qaCmBFhmHw45Z0xs3dytGT+ZhMMKhDPZ6ObYS7s8IZqfwUBtgAhQEiIiIiIrYp81QBE37Yxte/7Qcg2MeViXc0I6aRn5Urs22nC4rZefgkKYdzyDpdiJ3JhMkEJpMJE2BnMmFn4txtdmDir7Z2ppLtJs60M11kX8s5So5hZwI7uwvsy19t/76vnQng7PH/Oj/8dayzx+BvtZ09BmeO4exgj5ODbS9AqTDABigMEBERERGxbStTjvDs7M3sP3EagDtbBTP2libUcHeycmXWdbqgmF1HTrIjI4cdGSdJychhx+Ec9p84TXXuQb54W1MGdaxn7TIuqqz9UI2DERERERGRaqtLg9r89FRX/rNwB9N/SWX27wdYvuMIL9zWlFtaBFb5KR15hX9903+2059y+CRpx09dsNNf092JCD8Pans6Y1Ay9cIwwGz575lt/H1byX8NDMzmM/81/rEvnLvtn/ued58zr595zfy31/7e9u/7nt2v1L78bd8LvPeq9OOgkQEVSCMDREREREQqj41pJxj9zSZ2ZJwEoHtjP8b3aUagt6uVK7t6eYUl3/SnZJTu+KcdP4X5Aj3CGm6ONPD3pKG/Bw39PWngV/Lnmh7O17Z4KzknSMDA3mTCwV7TBOQSFAaIiIiIiFQuBUVm3lu2k3eX7qSw2MDT2YHRN0dyT9u62NnZ/tfCeYXFpB7NZUdGDikZJcP8Uw6fZO+x3At2+n3cHGno50mDs53+M/+t6e5U5UdGVEUKA2yAwgARERERkcppR0YOz3y9iaR9mQC0D/Pllb4tCKvlbt3CzsgvOtvpPzOf/0znf89FOv3ero409Pco+bbfr6TDH+HvQW0PZ3X6qxCFATZAYYCIiIiISOVVbDZI/GUP/1mYzOnCYpwd7HiqR0P+1Tnsmg0VLygy/+2b/pLh/TsO57D32CmKL9Dr93JxOPMNvycNznT6G/qXzPFXp7/qUxhgAxQGiIiIiIhUfvuOn+LZ2ZtZtfMoAM2CvZjUtwVNg7zL7RwFRWb2HMu1rN6/88y8/j1Hcym6QKff82yn38+j1Nx+P3X6qzWFATZAYYCIiIiISNVgGAZf/7af8fP+JDuvCHs7E//XtT5P3NgAF0f7Mh+nsNjM3mMlw/v/Pq8/9WKdfmcHIvw9Ss3rb+jvib+XOv1yLoUBNkBhgIiIiIhI1XI4J48XvtvK/M3pANSv5c4rfVvQLsy3VLuiYjN7jp0qNbQ/5Uynv7D4/F0wD2cHIvw8/lq9/8y3/QFeLur0S5kpDLABCgNERERERKqmhVvTGfvtFg7n5ANwT7u6BHq7WL7t33305AU7/e5O9kT8YxG/hv6eBHmr0y9XT2GADVAYICIiIiJSdWWdLiRh/jY+37DvvK+7Odlb5vOfXcivgb8HQd6uleI2hVI5lbUf6nANaxIREREREakyvF0deaVvC25rGUTiL3vwOLOgX0N/Dxr4eRLso06/2C6FASIiIiIiIlehY0QtOkbUsnYZIpfl2twcU0RERERERERshsIAERERERERkWpGYYCIiIiIiIhINaMwQERERERERKSaURggIiIiIiIiUs0oDBARERERERGpZqwaBiQkJNC2bVs8PT3x8/OjT58+JCcnX3Sf2bNnEx0djY+PD+7u7kRFRTFjxoxSbQzDYNy4cQQGBuLq6kr37t1JSUkp1eb48ePcd999eHl54ePjw0MPPcTJkydLtfnyyy+JiorCzc2N0NBQXn311fJ54yIiIiIiIiJWZNUwYPny5cTFxbF27VoWLVpEYWEhPXv2JDc394L7+Pr6MmbMGNasWcOmTZsYMmQIQ4YMYeHChZY2kydPZsqUKUybNo1169bh7u5ObGwseXl5ljb33XcfW7duZdGiRcybN48VK1bwyCOPWF7/8ccfue+++3j00UfZsmUL7733Hm+88QbvvPNOxXwYIiIiIiIiIteIyTAMw9pFnHXkyBH8/PxYvnw5Xbt2LfN+rVu3pnfv3owfPx7DMAgKCmLEiBGMHDkSgKysLPz9/UlMTGTAgAFs27aNJk2asGHDBqKjowFYsGABN998M/v37ycoKIh7772XwsJCvvrqK8t53n77bSZPnkxaWhomk+mcOvLz88nPz7c8z87OJiQkhKysLLy8vK70YxEREREREREpk+zsbLy9vS/ZD7WpNQOysrKAkm//y8IwDBYvXkxycrIlPEhNTSU9PZ3u3btb2nl7e9O+fXvWrFkDwJo1a/Dx8bEEAQDdu3fHzs6OdevWASUdexcXl1Lnc3V1Zf/+/ezdu/e89SQkJODt7W15hISElPGdi4iIiIiIiFw7NhMGmM1m4uPj6dSpE82aNbto26ysLDw8PHBycqJ37968/fbb9OjRA4D09HQA/P39S+3j7+9veS09PR0/P79Srzs4OODr62tpExsby+zZs1m8eDFms5kdO3bw2muvAXDo0KHz1vXss8+SlZVleezbt+8yPwURERERERGRiudg7QLOiouLY8uWLaxateqSbT09PUlKSuLkyZMsXryY4cOHU79+fWJiYsqtnocffphdu3Zxyy23UFhYiJeXF08++SQvvPACdnbnz1CcnZ1xdna2PD87AyM7O7vc6hIRERERERG5kLP9z0utCGATYcCwYcMsi/jVqVPnku3t7OyIiIgAICoqim3btpGQkEBMTAwBAQEAZGRkEBgYaNknIyODqKgoAAICAjh8+HCpYxYVFXH8+HHL/iaTiUmTJvHyyy+Tnp5O7dq1Wbx4MQD169cv0/vKyckB0HQBERERERERuaZycnLw9va+4OtWDQMMw+Dxxx9nzpw5LFu2jLCwsCs6jtlstizcFxYWRkBAAIsXL7Z0/rOzs1m3bh1Dhw4FoEOHDmRmZvLbb7/Rpk0bAJYsWYLZbKZ9+/aljm1vb09wcDAAn332GR06dKB27dplqisoKIh9+/bh6el53gUHbcXZhQ737dunhQ6rKF3jqk3Xt+rTNa76dI2rPl3jqk/XuGqrTNfXMAxycnIICgq6aDurhgFxcXHMmjWLuXPn4unpaZmv7+3tjaurKwADBw4kODiYhIQEoGSRvujoaMLDw8nPz2f+/PnMmDGDqVOnAiXf6MfHxzNhwgQaNGhAWFgYY8eOJSgoiD59+gDQuHFjevXqxcMPP8y0adMoLCxk2LBhDBgwwPKBHT16lK+//pqYmBjy8vKYPn06X331FcuXLy/z+7OzsyvTSAdb4eXlZfM/2HJ1dI2rNl3fqk/XuOrTNa76dI2rPl3jqq2yXN+LjQg4y6phwNkO/D/n+k+fPp3BgwcDkJaWVmqOfm5uLo899hj79+/H1dWVyMhIPv30U/r3729p88wzz5Cbm8sjjzxCZmYmnTt3ZsGCBaXuDjBz5kyGDRvGjTfeiJ2dHX379mXKlCml6vj4448ZOXIkhmHQoUMHli1bRrt27cr5UxARERERERG5tkzGpVYVkCqvrPehlMpL17hq0/Wt+nSNqz5d46pP17jq0zWu2qri9bWZWwuK9Tg7O/P888+XuhOCVC26xlWbrm/Vp2tc9ekaV326xlWfrnHVVhWvr0YGiIiIiIiIiFQzGhkgIiIiIiIiUs0oDBARERERERGpZhQGiIiIiIiIiFQzCgNEREREREREqhmFAdXcu+++S7169XBxcaF9+/asX7/e2iVJOUlISKBt27Z4enri5+dHnz59SE5OtnZZUoFeeeUVTCYT8fHx1i5FytGBAwe4//77qVmzJq6urjRv3pxff/3V2mVJOSkuLmbs2LGEhYXh6upKeHg448ePR+s7V14rVqzg1ltvJSgoCJPJxLffflvqdcMwGDduHIGBgbi6utK9e3dSUlKsU6xctotd38LCQkaNGkXz5s1xd3cnKCiIgQMHcvDgQesVLJftUn+H/+7RRx/FZDLx5ptvXrP6ypPCgGrsiy++YPjw4Tz//PNs3LiRli1bEhsby+HDh61dmpSD5cuXExcXx9q1a1m0aBGFhYX07NmT3Nxca5cmFWDDhg28//77tGjRwtqlSDk6ceIEnTp1wtHRkR9//JE///yT1157jRo1ali7NCknkyZNYurUqbzzzjts27aNSZMmMXnyZN5++21rlyZXKDc3l5YtW/Luu++e9/XJkyczZcoUpk2bxrp163B3dyc2Npa8vLxrXKlciYtd31OnTrFx40bGjh3Lxo0bmT17NsnJydx2221WqFSu1KX+Dp81Z84c1q5dS1BQ0DWqrPzp1oLVWPv27Wnbti3vvPMOAGazmZCQEB5//HFGjx5t5eqkvB05cgQ/Pz+WL19O165drV2OlKOTJ0/SunVr3nvvPSZMmEBUVFSlTailtNGjR7N69WpWrlxp7VKkgtxyyy34+/vz0UcfWbb17dsXV1dXPv30UytWJuXBZDIxZ84c+vTpA5SMCggKCmLEiBGMHDkSgKysLPz9/UlMTGTAgAFWrFYu1z+v7/ls2LCBdu3asXfvXurWrXvtipNycaFrfODAAdq3b8/ChQvp3bs38fHxlXJkpkYGVFMFBQX89ttvdO/e3bLNzs6O7t27s2bNGitWJhUlKysLAF9fXytXIuUtLi6O3r17l/r7LFXDd999R3R0NP369cPPz49WrVrx4YcfWrssKUcdO3Zk8eLF7NixA4A//viDVatWcdNNN1m5MqkIqamppKenl/r/tbe3N+3bt9fvX1VUVlYWJpMJHx8fa5ci5cRsNvPAAw/w9NNP07RpU2uXc1UcrF2AWMfRo0cpLi7G39+/1HZ/f3+2b99upaqkopjNZuLj4+nUqRPNmjWzdjlSjj7//HM2btzIhg0brF2KVIDdu3czdepUhg8fzr///W82bNjAE088gZOTE4MGDbJ2eVIORo8eTXZ2NpGRkdjb21NcXMzEiRO57777rF2aVID09HSA8/7+dfY1qTry8vIYNWoU99xzD15eXtYuR8rJpEmTcHBw4IknnrB2KVdNYYBINRAXF8eWLVtYtWqVtUuRcrRv3z6efPJJFi1ahIuLi7XLkQpgNpuJjo7m5ZdfBqBVq1Zs2bKFadOmKQyoIr788ktmzpzJrFmzaNq0KUlJScTHxxMUFKRrLFKJFRYWcvfdd2MYBlOnTrV2OVJOfvvtN9566y02btyIyWSydjlXTdMEqqlatWphb29PRkZGqe0ZGRkEBARYqSqpCMOGDWPevHksXbqUOnXqWLscKUe//fYbhw8fpnXr1jg4OODg4MDy5cuZMmUKDg4OFBcXW7tEuUqBgYE0adKk1LbGjRuTlpZmpYqkvD399NOMHj2aAQMG0Lx5cx544AGeeuopEhISrF2aVICzv2Pp96+q7WwQsHfvXhYtWqRRAVXIypUrOXz4MHXr1rX87rV3715GjBhBvXr1rF3eZVMYUE05OTnRpk0bFi9ebNlmNptZvHgxHTp0sGJlUl4Mw2DYsGHMmTOHJUuWEBYWZu2SpJzdeOONbN68maSkJMsjOjqa++67j6SkJOzt7a1dolylTp06nXNL0B07dhAaGmqliqS8nTp1Cju70r+O2dvbYzabrVSRVKSwsDACAgJK/f6VnZ3NunXr9PtXFXE2CEhJSeHnn3+mZs2a1i5JytEDDzzApk2bSv3uFRQUxNNPP83ChQutXd5l0zSBamz48OEMGjSI6Oho2rVrx5tvvklubi5DhgyxdmlSDuLi4pg1axZz587F09PTMhfR29sbV1dXK1cn5cHT0/OcNSDc3d2pWbOm1oaoIp566ik6duzIyy+/zN1338369ev54IMP+OCDD6xdmpSTW2+9lYkTJ1K3bl2aNm3K77//zuuvv86DDz5o7dLkCp08eZKdO3danqemppKUlISvry9169YlPj6eCRMm0KBBA8LCwhg7dixBQUEXXZFebMfFrm9gYCB33XUXGzduZN68eRQXF1t+//L19cXJyclaZctluNTf4X8GPI6OjgQEBNCoUaNrXerVM6Rae/vtt426desaTk5ORrt27Yy1a9dauyQpJ8B5H9OnT7d2aVKBunXrZjz55JPWLkPK0ffff280a9bMcHZ2NiIjI40PPvjA2iVJOcrOzjaefPJJo27duoaLi4tRv359Y8yYMUZ+fr61S5MrtHTp0vP++zto0CDDMAzDbDYbY8eONfz9/Q1nZ2fjxhtvNJKTk61btJTZxa5vamrqBX//Wrp0qbVLlzK61N/hfwoNDTXeeOONa1pjeTEZhmFco9xBRERERERERGyA1gwQERERERERqWYUBoiIiIiIiIhUMwoDRERERERERKoZhQEiIiIiIiIi1YzCABEREREREZFqRmGAiIiIiIiISDWjMEBERERERESkmlEYICIiIiIiIlLNKAwQERGRKsNkMvHtt99auwwRERGbpzBAREREysXgwYMxmUznPHr16mXt0kREROQfHKxdgIiIiFQdvXr1Yvr06aW2OTs7W6kaERERuRCNDBAREZFy4+z8/+3dXyh7fxzH8dcR+W5DDZnlRqI1ihJlcYMLUYomqaVxsxaWG6UWIa65swtxRdSUcuFPcanEjdnFuFYScsOKm/ldqPVb31+/fv3y3ffLno86dc7nc7bz/lyeV5+9l6vS0tKUw2q1SvrYwh8KhdTZ2SmTyaSKigptb2+nfD4ajaqtrU0mk0lFRUXy+Xx6eXlJuWdtbU01NTXKzc2V3W7X2NhYyvzj46N6e3tlNptVVVWl3d3dX7toAAC+IMIAAACQNtPT03K73YpEIvJ4PBoYGFAsFpMkxeNxdXR0yGq16vz8XOFwWEdHRykv+6FQSKOjo/L5fIpGo9rd3VVlZWXKM+bm5tTf36/Ly0t1dXXJ4/Ho6ekpresEAOBPZ7y/v7//7iIAAMDXNzQ0pPX1df348SNlPBgMKhgMyjAM+f1+hUKh5FxTU5Pq6+u1vLyslZUVTU5O6ubmRhaLRZK0t7en7u5u3d7eymazqaysTMPDw1pYWPjHGgzD0NTUlObn5yV9BAx5eXna39+ndwEAAH9DzwAAAPBpWltbU172JamwsDB57nK5UuZcLpcuLi4kSbFYTHV1dckgQJKam5uVSCR0fX0twzB0e3ur9vb2f62htrY2eW6xWFRQUKD7+/v/uyQAAL4lwgAAAPBpLBbLT9v2P4vJZPpP9+Xk5KRcG4ahRCLxK0oCAODLomcAAABIm9PT05+unU6nJMnpdCoSiSgejyfnT05OlJWVJYfDofz8fJWXl+v4+DitNQMA8B2xMwAAAHyat7c33d3dpYxlZ2eruLhYkhQOh9XQ0KCWlhZtbGzo7OxMq6urkiSPx6OZmRl5vV7Nzs7q4eFBgUBAg4ODstlskqTZ2Vn5/X6VlJSos7NTz8/POjk5USAQSO9CAQD44ggDAADApzk4OJDdbk8Zczgcurq6kvTR6X9ra0sjIyOy2+3a3NxUdXW1JMlsNuvw8FDj4+NqbGyU2WyW2+3W4uJi8ru8Xq9eX1+1tLSkiYkJFRcXq6+vL30LBADgm+DfBAAAQFoYhqGdnR319PT87lIAAMh49AwAAAAAACDDEAYAAAAAAJBh6BkAAADSgl8mAgDw52BnAAAAAAAAGYYwAAAAAACADEMYAAAAAABAhiEMAAAAAAAgwxAGAAAAAACQYQgDAAAAAADIMIQBAAAAAABkGMIAAAAAAAAyzF8pgUEfc4r6VQAAAABJRU5ErkJggg==\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" }, { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[1m12/12\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 4ms/step - accuracy: 0.0740 - loss: 2.3120 \n", "Loss: 2.31\n", "Accuracy: 7.78%\n" ] } - ] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 999 - }, - "id": "56cdf9e7", - "outputId": "bb602ddc-ee65-4def-d6b2-6f0224498436" - }, + ], "source": [ - "from tensorflow.keras.optimizers import SGD\n", + "from tensorflow.keras.optimizers import Adam\n", "\n", - "# Modifying the optimizer in the compilation cell to use SGD with momentum\n", + "# Modifying the optimizer in this cell to use Adam()\n", "model.compile(\n", - " loss='categorical_crossentropy', # Loss function\n", - " optimizer=SGD(learning_rate=0.01, momentum=0.9), # Optimizer with momentum\n", - " metrics=['accuracy'] # Metrics to evaluate the model\n", + " loss='categorical_crossentropy', # Loss function\n", + " optimizer=Adam(), # Optimizer\n", + " metrics=['accuracy'] # Metrics to evaluate the model\n", ")\n", "\n", "# Training the model\n", - "history_sgd_momentum = model.fit(\n", - " X_train, # Training data\n", - " y_train, # Training labels\n", - " epochs=15, # Number of epochs\n", - " batch_size=32, # Number of samples per batch\n", - " validation_split=0.2 # Use 20% of the data for validation\n", + "history_adam = model.fit(\n", + " X_train, # Training data\n", + " y_train, # Training labels\n", + " epochs=15, # Number of epochs\n", + " batch_size=32, # Number of samples per batch\n", + " validation_split=0.2 # Use 20% of the data for validation\n", ")\n", "\n", "plt.figure(figsize=(12, 4))\n", - "plt.plot(history_sgd_momentum.history['loss'], label=\"SGD with Momentum (stddev=0.01 init)\")\n", + "plt.plot(history_adam.history['loss'], label=\"Adam\")\n", "plt.legend();\n", - "plt.title(\"Training Loss with SGD with Momentum and stddev=0.01 Initialization\")\n", + "plt.title(\"Training Loss with Adam Optimizer\")\n", "plt.xlabel(\"Epoch\")\n", "plt.ylabel(\"Loss\")\n", "plt.show()\n", @@ -2878,12 +2835,23 @@ "\n", "print(f'Loss: {loss:.2f}')\n", "print(f'Accuracy: {accuracy*100:.2f}%')" - ], + ] + }, + { + "cell_type": "code", "execution_count": 136, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 999 + }, + "id": "56cdf9e7", + "outputId": "bb602ddc-ee65-4def-d6b2-6f0224498436" + }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Epoch 1/15\n", "\u001b[1m36/36\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - accuracy: 0.1192 - loss: 2.2995 - val_accuracy: 0.1076 - val_loss: 2.3082\n", @@ -2918,28 +2886,63 @@ ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" }, { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "\u001b[1m12/12\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step - accuracy: 0.1054 - loss: 2.3136 \n", "Loss: 2.31\n", "Accuracy: 9.72%\n" ] } + ], + "source": [ + "from tensorflow.keras.optimizers import SGD\n", + "\n", + "# Modifying the optimizer in the compilation cell to use SGD with momentum\n", + "model.compile(\n", + " loss='categorical_crossentropy', # Loss function\n", + " optimizer=SGD(learning_rate=0.01, momentum=0.9), # Optimizer with momentum\n", + " metrics=['accuracy'] # Metrics to evaluate the model\n", + ")\n", + "\n", + "# Training the model\n", + "history_sgd_momentum = model.fit(\n", + " X_train, # Training data\n", + " y_train, # Training labels\n", + " epochs=15, # Number of epochs\n", + " batch_size=32, # Number of samples per batch\n", + " validation_split=0.2 # Use 20% of the data for validation\n", + ")\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.plot(history_sgd_momentum.history['loss'], label=\"SGD with Momentum (stddev=0.01 init)\")\n", + "plt.legend();\n", + "plt.title(\"Training Loss with SGD with Momentum and stddev=0.01 Initialization\")\n", + "plt.xlabel(\"Epoch\")\n", + "plt.ylabel(\"Loss\")\n", + "plt.show()\n", + "\n", + "loss, accuracy = model.evaluate(X_test, y_test)\n", + "\n", + "print(f'Loss: {loss:.2f}')\n", + "print(f'Accuracy: {accuracy*100:.2f}%')" ] }, { "cell_type": "markdown", + "metadata": { + "id": "CQzQuR3XuBkx" + }, "source": [ "| # | Optimizer | LR | Initialization / Config | Train Loss | Train Acc (%) | Test Loss | Test Acc (%) |Observation | Rating |\n", "|---|--------------------|------|---------------------------------|-------------|----------------|-------------|----------------|-----------------------------------------------------------|-----------|\n", @@ -2954,16 +2957,23 @@ "| 9 | SGD | 0.01 | Truncated Normal (std=10.0) | 7.7802 | 20.23 | 7.89 | 24.72 | Erratic loss; exploding gradients | Poor |\n", "| 10| SGD | 0.1 | Zero Initialization | 2.3033 | 11.12 | 2.31 | 7.78 | No learning; symmetry kept all weights identical | Failed |\n", "| 11| SGD (momentum=0.9) | 0.01 | Truncated Normal (std=0.01) | 2.3021 | 11.37 | 2.31 | 9.72 | Momentum couldn’t overcome bad initialization; stagnant | Failed |\n" - ], - "metadata": { - "id": "CQzQuR3XuBkx" - } + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "End of Lab 1." + ] } ], "metadata": { + "colab": { + "provenance": [] + }, "file_extension": ".py", "kernelspec": { - "display_name": ".venv", + "display_name": "dsi_participant", "language": "python", "name": "python3" }, @@ -2977,7 +2987,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.12" + "version": "3.12.3" }, "mimetype": "text/x-python", "name": "python", @@ -2996,11 +3006,8 @@ "toc_section_display": true, "toc_window_display": false }, - "version": 3, - "colab": { - "provenance": [] - } + "version": 3 }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/01_materials/labs/lab_2.ipynb b/01_materials/labs/lab_2.ipynb index 5d6c2c0b..c8afa705 100644 --- a/01_materials/labs/lab_2.ipynb +++ b/01_materials/labs/lab_2.ipynb @@ -56,14 +56,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -149,14 +149,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "array([0., 0., 0., 1., 0., 0., 0., 0., 0., 0.])" ] }, + "execution_count": 5, "metadata": {}, - "execution_count": 5 + "output_type": "execute_result" } ], "source": [ @@ -177,7 +177,6 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0.],\n", @@ -186,8 +185,9 @@ " [0., 1., 0., 0., 0., 0., 0., 0., 0., 0.]])" ] }, + "execution_count": 6, "metadata": {}, - "execution_count": 6 + "output_type": "execute_result" } ], "source": [ @@ -257,8 +257,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "[9.99662391e-01 3.35349373e-04 2.25956630e-06]\n" ] @@ -290,8 +290,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "[[9.99662391e-01 3.35349373e-04 2.25956630e-06]\n", " [2.47262316e-03 9.97527377e-01 1.38536042e-11]]\n" @@ -325,8 +325,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "1.0\n" ] @@ -348,8 +348,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "softmax of 2 vectors:\n", "[[9.99662391e-01 3.35349373e-04 2.25956630e-06]\n", @@ -385,8 +385,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "[1. 1.]\n" ] @@ -425,8 +425,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "0.01005033585350145\n" ] @@ -472,8 +472,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "4.605170185988091\n" ] @@ -504,8 +504,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "0.010050335853503449\n" ] @@ -640,14 +640,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -693,8 +693,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Average NLL over the last 100 samples at step 100: 261\n", "Average NLL over the last 100 samples at step 200: 216\n", @@ -761,14 +761,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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OjtbmzZvz1e/Zs6ciIiLs6y1btlSrVq20ePFiSdLp06f1n//8Rw899JDOnj1rj++3335TbGysfvnllwK7DEh/3vo1DKNQdy3mzp2rd999V//4xz9Uq1Ytl7cH/krOnj0rSSpbtuxV6+W9ntcNyEyX372V/u+cl3c+KWo+Pj567LHH7Ot+fn567LHHdOLECaWmpjrUjYuLczifb9q0SSdOnNCTTz7p0L++W7duqlu3rtO7PZdPHZv3K39OTo5WrFhhL7+8jd9//10ZGRlq27at0/NxTEyMWrRoYV+vUqWK7rnnHi1btky5ubnXexhuiGEY+uyzz9SjRw8ZhuFwXYqNjVVGRoY99vLly+vXX3/N1x3nWn777TdJUoUKFZy+Hh4e7nBHvFy5curXr59+/PFH+93sPEOGDHEYg7J8+XKdOXNGvXv3dojd29tbrVq1sncRPnbsmNLS0hQXF6fAwED79nfeeafq169/1fhtNpsWLlyoHj16KDo6Ot/rV3b1uh6LFy9WaGioevfubS/z9fXV8OHDde7cOa1Zs8ahfq9evRyOX97dyn379tnLoqKiZBhGoe5afPfddxo7dqweeughdejQId/reW1fT5fn4oRuUTeBiIiIGxq09Msvv+inn34q8Fb4iRMnCrXfKlWqOKznnVgiIyPzldtsNmVkZKhSpUqSpP/9739KSkrS+vXrdf78eYf6GRkZCgwMtM/ZXbNmTYfXK1asmO9kWhTv8b333tNrr72mnTt36uLFi/byatWq5avr7Et77dq19cknn0iS9uzZI8Mw9OKLL+rFF18sMMbLExQz/Pe//9WgQYMUGxurl19+2dR9AzejvKQhL8koyPUmIYVx5fmkRo0a8vLycttUnOHh4fkG9NauXVvSn33VLx88fOX5MO+8XadOnXz7rVu3rtauXetQ5uXllW9Q/OVt5Vm0aJFeeuklpaWlOYzhc/YFtKDz8fnz53Xy5EmHGXuKysmTJ3XmzBnNmDFDM2bMcFon77r07LPPasWKFWrZsqVq1qypzp0765FHHlGbNm2uqy3jivEpeWrWrJnv+Fx+bC8/Dld+jr/88oskOf1CLP2ZqEj/93k7O+Z16tRxmvzlOXnypDIzM2+oq9qVDh48qFq1auUb95DXjerKZ4Fc+T0m77vF77//fsOx7Ny5U/fee68aNmyod955x2mdvM+uMImUJ5Fc3ARcnTr0yl9mbDab7rzzTj3zzDNO6+edbFxV0EwbBZXn/Sfau3evOnbsqLp162rSpEmKjIyUn5+fFi9erNdff71QA7DNfo8ffvih+vfvr549e+rpp59WcHCwvL29lZycrL179xYqPkl66qmnFBsb67TOlUnUjdqyZYvuvvtuNWzYUAsWLHD7FIlASRQYGKiwsDD99NNPV633008/KSIiwv4lq6AvB2b8Un7lvouyLVe5Y2rr//73v7r77rt1++2366233lJYWJh8fX01e/bs6xr07Al55/xHH31UcXFxTus0btxY0p9ffHft2qVFixZp6dKl+uyzz/TWW29p9OjRGjt2bIFt5P1YZ8YX4Ss/x7z4P/jgA6fJ2M1yPbnW95XCOnz4sDp37qzAwEAtXry4wB8h8j67kjYe8ub49OFUhQoV8j0YKScnJ9+MBjVq1NC5c+fUqVMnN0ZXsK+//lrZ2dn66quvHH41uHImprwHAu3Zs8fhV5Xffvst38nU7Pe4YMECVa9eXZ9//rnDhTwpKclp/bxfeS63e/du+4C3vF/mfH193fI57N27V126dFFwcLAWL15s+lNwgZtZ9+7dNXPmTK1du1a33XZbvtf/+9//6sCBAw5dh5ydj6X8v5RK1/6V8pdffnE45+3Zs0c2m81+Psn7dfXK9grTljNHjx7NNx3p7t27JcnpjFiXyztv79q1K9+v3rt27cr3oDebzaZ9+/Y5/AB0ZVufffaZ/P39tWzZMofnUsyePdtpDAWdj0uVKnXNwezXcr3HMygoSGXLllVubu51nfNLly6tXr16qVevXsrJydF9992nl19+WYmJiQVO31q3bl1J0v79+52+nnfH/PKYr/dzzJtkIDg4+Krx532ezo75rl27rtpGUFCQypUr53Rmxcu58jdctWpV/fTTT7LZbA53L3bu3OkQb1H67bff1LlzZ2VnZ2vlypUKCwsrsG7eZ+fp55m5ijEXN7EaNWrkG0swY8aMfL9ePfTQQ1q/fr2WLVuWbx9nzpxxGAvhDnm/FFz+y0BGRka+C0XHjh3l4+OTb4raKVOm5Nun2e/RWYw//PCD1q9f77T+woULHcZMbNiwQT/88IO6du0q6c8TdPv27fX22287nc7u5MmTV43Hlalo09PT1blzZ3l5eWnZsmU3fDEF/mqefvppBQQE6LHHHrP3a89z+vRpPf744ypVqpR9mlfpz/NxRkaGwx2PY8eOOZ2Ss3Tp0ld9YnbedKd53nzzTUmyn0/KlSunypUr5zv/v/XWW07bkvInIldz6dIlvf322/b1nJwcvf322woKCnIYy+BMdHS0goODNX36dIfuS0uWLNGOHTvyzewkOZ7TDcPQlClT5Ovrq44dO0r683xssVgcrm0HDhwo8Cnn69evd+iOc/jwYX355Zfq3LnzNZ9tcS3Xezy9vb11//3367PPPnP65fnyc/6Vf2N+fn6qX7++DMNw6JJ7pYiICEVGRmrTpk1OXz969KjD319mZqbef/99NW3a9Jpdw2JjY1WuXDmNHz/eaQx58YeFhalp06Z677337OMlpT/HbGzfvv2qbXh5ealnz576+uuvnb6HvOuvK3/Dd911l9LT0zV//nx72aVLl/Tmm2+qTJkyateu3TX3cSVXpqLNysrSXXfdpSNHjmjx4sXXHOeYmpoqi8WimJgYl+PyJO5c3MQGDx6sxx9/XPfff7/uvPNObdmyRcuWLct3e+3pp5/WV199pe7du6t///5q0aKFsrKytHXrVi1YsEAHDhxw6y25zp07y8/PTz169NBjjz2mc+fOaebMmQoODnb4zxsSEqIRI0botdde0913360uXbpoy5YtWrJkiSpXruzwa4bZ77F79+76/PPPde+996pbt27av3+/pk+frvr16+vcuXP56tesWVO33XabnnjiCWVnZyslJUWVKlVy6KY1depU3XbbbWrUqJGGDBmi6tWr6/jx41q/fr1+/fVXbdmypcB4XJmKtkuXLtq3b5+eeeYZrV271qGPc0hISL4pCAE4qlWrlt577z316dNHjRo1yveE7lOnTunjjz92mEL24Ycf1rPPPqt7771Xw4cPt0/bWbt27Xz9zlu0aKEVK1Zo0qRJCg8PV7Vq1dSqVSv76/v377ef89avX68PP/xQjzzyiJo0aWKvM3jwYE2YMEGDBw9WdHS0vvvuO/uv0le2JUkvvPCCHn74Yfn6+qpHjx5XfUhaeHi4Jk6cqAMHDqh27dqaP3++0tLSNGPGDIdJPJzx9fXVxIkTNWDAALVr1069e/e2T0UbFRWlUaNGOdT39/fX0qVLFRcXp1atWmnJkiX65ptv9Pzzz9t/GOnWrZsmTZqkLl266JFHHtGJEyc0depU1axZ02n3tYYNGyo2NtZhKlpJV+1idL3yjufw4cMVGxsrb29vPfzww07rTpgwQatWrVKrVq00ZMgQ1a9fX6dPn9bmzZu1YsUK+7MNOnfurNDQULVp00YhISHasWOHpkyZom7dul1zTM8999yjL774It8dCunP7sCDBg3Sxo0bFRISolmzZun48eMF3vG5XLly5TRt2jT17dtXzZs318MPP6ygoCAdOnRI33zzjdq0aWNPCpOTk9WtWzfddtttGjhwoE6fPm1/boez6+Xlxo8fr2+//Vbt2rXT0KFDVa9ePR07dkyffvqp1q5dq/Lly6tp06by9vbWxIkTlZGRIavVan9O1pWGDh2qt99+W/3791dqaqqioqK0YMEC/e9//1NKSkqhxki5MhVtnz59tGHDBg0cOFA7duxweLZFmTJl1LNnT4f6y5cvV5s2bexd3EoMt89PhUIraCragqaoy83NNZ599lmjcuXKRqlSpYzY2Fhjz549+aaiNYw/p5VLTEw0atasafj5+RmVK1c2Wrdubbz66qsO08k6U9BUtJ9++qlDvbwp7a6cUi5vesXLpxX86quvjMaNGxv+/v5GVFSUMXHiRGPWrFn5pga8dOmS8eKLLxqhoaFGQECA0aFDB2PHjh1GpUqVjMcff7zI3qPNZjPGjx9vVK1a1bBarUazZs2MRYsW5ZtuMm+Kun//+9/Ga6+9ZkRGRhpWq9Vo27atfdrIy+3du9fo16+fERoaavj6+hoRERFG9+7djQULFuQ7voWdilb/fypGZ8vl7xHA1f30009G7969jbCwMMPX19cIDQ01evfubWzdutVp/W+//dZo2LCh4efnZ9SpU8f48MMPnU5Fu3PnTuP22283AgICHKa4zKu7fft244EHHjDKli1rVKhQwRg2bJjDtK6G8efUrIMGDTICAwONsmXLGg899JBx4sQJp+eJcePGGREREYaXl9c1p6XNu+Zs2rTJiImJMfz9/Y2qVasaU6ZMcahX0HUgz/z5841mzZoZVqvVqFixotGnTx+H6boN48+paEuXLm3s3bvX6Ny5s1GqVCkjJCTESEpKMnJzcx3qvvvuu0atWrUMq9Vq1K1b15g9e7bTYyvJiI+PNz788EN7/WbNmuWbxrSwU9FeunTJ+Pvf/24EBQUZFovFoX1nx/748eNGfHy8ERkZaf8b6tixozFjxgx7nbffftu4/fbbjUqVKhlWq9WoUaOG8fTTTxsZGRlOj+3lNm/ebEgy/vvf/zqUV61a1ejWrZuxbNkyo3Hjxvbjdr3X7TyrVq0yYmNjjcDAQMPf39+oUaOG0b9/f4epfg3DMD777DOjXr16htVqNerXr298/vnnTqdndnaMDh48aPTr188ICgoyrFarUb16dSM+Pt5hOviZM2ca1atXN7y9vR2uj1d+Zobx5zEfMGCAUblyZcPPz89o1KhRvmmbL792X+nKGF2ZijZvCmBny5XH4syZM4afn5/xzjvvXHO/xY3FMG5wVApQzJw5c0YVKlTQSy+9pBdeeMHT4QCAKcaMGaOxY8fq5MmTHhvg2b59e506deqa/eBRfHTs2FHh4eEOD/aLiopSw4YNtWjRIg9GhqtJSUnRK6+8or1797plYgQzMeYCJdqFCxfyleU9bbt9+/buDQYAgGJm/Pjxmj9/vtMB/SieLl68qEmTJumf//xniUssJMZcoISbP3++5syZo7vuuktlypTR2rVr9fHHH6tz587XPQc4AAA3q1atWiknJ8fTYcAFvr6+OnTokKfDKDSSC5RojRs3lo+Pj1555RVlZmbaB3m/9NJLng4NAADgL4cxFwAAAABMwZgLAAAAAKYguQAAAABgCrePubDZbDp69KjKli3r0iPbAaC4MQxDZ8+eVXh4uLy8+K2mqHH9AADPcOV65/bk4ujRo4qMjHR3swBQZA4fPqxbbrnF02Hc9Lh+AIBnXc/1zu3JRd6j1Q8fPqxy5cq5u/kSq3fv3p4OoUCLFy/2dAhOFeepaOfOnevpEApUvnx5T4dQYmRmZioyMtJ+XkPR4voBAJ7hyvXO7clF3q3scuXKcXFwga+vr6dDKHF8fIrvTMvF+W+/OMdWXNFFxz24fgCAZ13P9Y5OwgAAAABMQXIBAAAAwBQkFwAAAABMUXw7pQMAAKBYys3N1cWLFz0dBkzk7e0tHx+fGx5HSHIBAACA63bu3Dn9+uuvMgzD06HAZKVKlVJYWJj8/PwKvQ+SCwAAAFyX3Nxc/frrrypVqpSCgoKYLe8mYRiGcnJydPLkSe3fv1+1atUq9MNhSS4AAABwXS5evCjDMBQUFKSAgABPhwMTBQQEyNfXVwcPHlROTo78/f0LtR8GdAMAXPbdd9+pR48eCg8Pl8Vi0cKFC6+5zerVq9W8eXNZrVbVrFlTc+bMKfI4ARQN7ljcnAp7t8JhHybEAQD4i8nKylKTJk00derU66q/f/9+devWTXfccYfS0tI0cuRIDR48WMuWLSviSAEA7kS3KACAy7p27aquXbted/3p06erWrVqeu211yRJ9erV09q1a/X6668rNja2qMIEALgZdy4AAEVu/fr16tSpk0NZbGys1q9fX+A22dnZyszMdFgAAMUbdy4AAEUuPT1dISEhDmUhISHKzMzUhQsXnA4MTU5O1tixY90V4l+Lu/rLM1XpX0bUc9+4tb0DE7q5VL99+/Zq2rSpUlJSiiYg2BXqzsXUqVMVFRUlf39/tWrVShs2bDA7LgDAX1xiYqIyMjLsy+HDhz0dEoCblGEYunTpkqfDuCm4nFzMnz9fCQkJSkpK0ubNm9WkSRPFxsbqxIkTRREfAOAmEBoaquPHjzuUHT9+XOXKlStwOkur1apy5co5LADgqv79+2vNmjWaPHmyLBaLLBaL5syZI4vFoiVLlqhFixayWq1au3at+vfvr549ezpsP3LkSLVv396+brPZlJycrGrVqikgIEBNmjTRggUL3PumijGXk4tJkyZpyJAhGjBggOrXr6/p06erVKlSmjVrVlHEBwC4CcTExGjlypUOZcuXL1dMTIyHIgLwVzF58mTFxMRoyJAhOnbsmI4dO6bIyEhJ0nPPPacJEyZox44daty48XXtLzk5We+//76mT5+un3/+WaNGjdKjjz6qNWvWFOXbKDFcGnORk5Oj1NRUJSYm2su8vLzUqVOnAgflZWdnKzs7277OgDwAKPnOnTunPXv22Nf379+vtLQ0VaxYUVWqVFFiYqKOHDmi999/X5L0+OOPa8qUKXrmmWc0cOBA/ec//9Enn3yib75xbz9tAH89gYGB8vPzU6lSpRQaGipJ2rlzpyTpX//6l+68887r3ld2drbGjx+vFStW2H8cqV69utauXau3335b7dq1M/8NlDAuJRenTp1Sbm6u00F5eR/SlRiQBwA3n02bNumOO+6wryckJEiS4uLiNGfOHB07dkyHDh2yv16tWjV98803GjVqlCZPnqxbbrlF77zzDtPQAvCo6Ohol+rv2bNH58+fz5eQ5OTkqFmzZmaGVmIV+WxRiYmJ9ouO9Oedi7xbUQCAkql9+/YyrjITkLOnb7dv314//vhjEUYFAK4pXbq0w7qXl1e+c9vFixft/z537pwk6ZtvvlFERIRDPavVWkRRliwuJReVK1eWt7e300F5ebeZrmS1WjnYAAAA8Bg/Pz/l5uZes15QUJC2bdvmUJaWliZfX19JUv369WW1WnXo0CG6QBXApQHdfn5+atGihcOgPJvNppUrVzIoDwAAAMVSVFSUfvjhBx04cECnTp2SzWZzWq9Dhw7atGmT3n//ff3yyy9KSkpySDbKli2rp556SqNGjdJ7772nvXv3avPmzXrzzTf13nvvuevtFGsud4tKSEhQXFycoqOj1bJlS6WkpCgrK0sDBgwoivgAAABQzLn6UDt3e+qppxQXF6f69evrwoULmj17ttN6sbGxevHFF/XMM8/ojz/+0MCBA9WvXz9t3brVXmfcuHEKCgpScnKy9u3bp/Lly6t58+Z6/vnn3fV2ijWXk4tevXrp5MmTGj16tNLT09W0aVMtXbo03yBvAAAAoDioXbt2vplN+/fv77Tu2LFjrzoZkcVi0YgRIzRixAgzQ7xpFGpA97BhwzRs2DCzYwEAAABQgrn8ED0AAAAAcIbkAgAAAIApSC4AAAAAmILkAgAAAIApSC4AAAAAmILkAgAAAIApSC4AAAAAmILkAgAAAIApSC4AAABwYywW9y7FWFRUlFJSUuzrFotFCxcuvKF9mrEPdynUE7oBAAAAXNuxY8dUoUKF66o7ZswYLVy4UGlpaYXeh6eRXAAAAACXycnJkZ+fnyn7Cg0NLRb7cBe6RQEAAOCm1r59ew0bNkzDhg1TYGCgKleurBdffFGGYUj6syvTuHHj1K9fP5UrV05Dhw6VJK1du1Zt27ZVQECAIiMjNXz4cGVlZdn3e+LECfXo0UMBAQGqVq2aPvroo3xtX9ml6ddff1Xv3r1VsWJFlS5dWtHR0frhhx80Z84cjR07Vlu2bJHFYpHFYtGcOXOc7mPr1q3q0KGDAgICVKlSJQ0dOlTnzp2zv96/f3/17NlTr776qsLCwlSpUiXFx8fr4sWLJh5V57hzcYUrb0MVF19++aWnQyjQiBEjPB2CU5MnT/Z0CAVavXq1p0MoUM+ePT0dAgAApnvvvfc0aNAgbdiwQZs2bdLQoUNVpUoVDRkyRJL06quvavTo0UpKSpIk7d27V126dNFLL72kWbNm6eTJk/YEZfbs2ZL+/BJ/9OhRrVq1Sr6+vho+fLhOnDhRYAznzp1Tu3btFBERoa+++kqhoaHavHmzbDabevXqpW3btmnp0qVasWKFJCkwMDDfPrKyshQbG6uYmBht3LhRJ06c0ODBgzVs2DB7MiJJq1atUlhYmFatWqU9e/aoV69eatq0qf39FhWSCwAAANz0IiMj9frrr8tisahOnTraunWrXn/9dfuX7Q4dOugf//iHvf7gwYPVp08fjRw5UpJUq1YtvfHGG2rXrp2mTZumQ4cOacmSJdqwYYNuvfVWSdK7776revXqFRjD3LlzdfLkSW3cuFEVK1aUJNWsWdP+epkyZeTj43PVblBz587VH3/8offff1+lS5eWJE2ZMkU9evTQxIkTFRISIkmqUKGCpkyZIm9vb9WtW1fdunXTypUrizy5oFsUAAAAbnp/+9vfZLlspqmYmBj98ssvys3NlSRFR0c71N+yZYvmzJmjMmXK2JfY2FjZbDbt379fO3bskI+Pj1q0aGHfpm7duipfvnyBMaSlpalZs2b2xKIwduzYoSZNmtgTC0lq06aNbDabdu3aZS9r0KCBvL297ethYWFXvatiFu5cAAAA4C/v8i/r0p9dmB577DENHz48X90qVapo9+7dLrcREBBQ6Phc5evr67BusVhks9mKvF3uXAAAAOCm98MPPzisf//996pVq5bDr/uXa968ubZv366aNWvmW/z8/FS3bl1dunRJqamp9m127dqlM2fOFBhD48aNlZaWptOnTzt93c/Pz34npSD16tXTli1bHAaW/+9//5OXl5fq1Klz1W3dgeQCAAAAN71Dhw4pISFBu3bt0scff6w333zzqpPSPPvss1q3bp2GDRumtLQ0/fLLL/ryyy81bNgwSVKdOnXUpUsXPfbYY/rhhx+UmpqqwYMHX/XuRO/evRUaGqqePXvqf//7n/bt26fPPvtM69evl/TnrFX79+9XWlqaTp06pezs7Hz76NOnj/z9/RUXF6dt27Zp1apV+vvf/66+ffvax1t4EskFAAAAboxhuHcphH79+unChQtq2bKl4uPjNWLECPuUs840btxYa9as0e7du9W2bVs1a9ZMo0ePVnh4uL3O7NmzFR4ernbt2um+++7T0KFDFRwcXOA+/fz89O233yo4OFh33XWXGjVqpAkTJtjvntx///3q0qWL7rjjDgUFBenjjz/Ot49SpUpp2bJlOn36tG699VY98MAD6tixo6ZMmVKo42I2xlwAAADgpufr66uUlBRNmzYt32sHDhxwus2tt96qb7/9tsB9hoaGatGiRQ5lffv2dVg3rkiGqlatqgULFjjdn9Vqdfralfto1KiR/vOf/xQY1+VT0uZJSUkpsL6ZuHMBAAAAwBQkFwAAAABMQbcoAAAA3NRWr17t6RD+MrhzAQAAAMAUJBcAAABwyZUDjHFzMONzJbkAAADAdcmbMjUnJ8fDkaAonD9/XlL+p3u7gjEXAAAAuC4+Pj4qVaqUTp48KV9fX3l58Tv1zcAwDJ0/f14nTpxQ+fLlC3xq+fUguQAAAMB1sVgsCgsL0/79+3Xw4EFPhwOTlS9fXqGhoTe0D5eTi++++07//ve/lZqaqmPHjumLL75Qz549bygIAAAAlAx+fn6qVasWXaNuMr6+vjd0xyKPy8lFVlaWmjRpooEDB+q+++674QAAAABQsnh5ecnf39/TYaAYcjm56Nq1q7p27Xrd9bOzs5WdnW1fz8zMdLVJAAAAACVAkY/CSU5OVmBgoH2JjIws6iYBAAAAeECRJxeJiYnKyMiwL4cPHy7qJgEAAAB4QJHPFmW1WmW1Wou6GQAAAAAexuTEAAAAAExBcgEAAADAFC53izp37pz27NljX9+/f7/S0tJUsWJFValSxdTgAAAAAJQcLicXmzZt0h133GFfT0hIkCTFxcVpzpw5pgUGAAAAoGRxOblo3769DMMoilgAAAAAlGCMuQAAAABgCpILAAAAAKYguQAAAABgCpILAAAAAKYguQAAFMrUqVMVFRUlf39/tWrVShs2bLhq/ZSUFNWpU0cBAQGKjIzUqFGj9Mcff7gpWgCAO5BcAABcNn/+fCUkJCgpKUmbN29WkyZNFBsbqxMnTjitP3fuXD333HNKSkrSjh079O6772r+/Pl6/vnn3Rw5AKAokVwAAFw2adIkDRkyRAMGDFD9+vU1ffp0lSpVSrNmzXJaf926dWrTpo0eeeQRRUVFqXPnzurdu/c173YAAEoWkgsAgEtycnKUmpqqTp062cu8vLzUqVMnrV+/3uk2rVu3Vmpqqj2Z2LdvnxYvXqy77rqrwHays7OVmZnpsAAAijeXH6IHAPhrO3XqlHJzcxUSEuJQHhISop07dzrd5pFHHtGpU6d02223yTAMXbp0SY8//vhVu0UlJydr7NixpsYOACha3LkAABS51atXa/z48Xrrrbe0efNmff755/rmm280bty4ArdJTExURkaGfTl8+LAbIwYAFAZ3LgAALqlcubK8vb11/Phxh/Ljx48rNDTU6TYvvvii+vbtq8GDB0uSGjVqpKysLA0dOlQvvPCCvLzy/9ZltVpltVrNfwMAgCLDnQsAgEv8/PzUokULrVy50l5ms9m0cuVKxcTEON3m/Pnz+RIIb29vSZJhGEUXLADArbhzcYWmTZt6OgSnZs+e7ekQCtSzZ09Ph+DU5MmTPR1CgRYuXOjpEApUXD9PFC8JCQmKi4tTdHS0WrZsqZSUFGVlZWnAgAGSpH79+ikiIkLJycmSpB49emjSpElq1qyZWrVqpT179ujFF19Ujx497EkGAKDkI7kAALisV69eOnnypEaPHq309HQ1bdpUS5cutQ/yPnTokMOdin/+85+yWCz65z//qSNHjigoKEg9evTQyy+/7Km3AAAoAiQXAIBCGTZsmIYNG+b0tdWrVzus+/j4KCkpSUlJSW6IDADgKYy5AAAAAGAKkgsAAAAApiC5AAAAAGAKkgsAAAAApiC5AAAAAGAKkgsAAAAApiC5AAAAAGAKkgsAAAAApiC5AAAAAGAKkgsAAAAApiC5AAAAAGAKkgsAAAAApnApuUhOTtatt96qsmXLKjg4WD179tSuXbuKKjYAAAAAJYhLycWaNWsUHx+v77//XsuXL9fFixfVuXNnZWVlFVV8AAAAAEoIH1cqL1261GF9zpw5Cg4OVmpqqm6//XZTAwMAAABQsriUXFwpIyNDklSxYsUC62RnZys7O9u+npmZeSNNAgAAACimCj2g22azaeTIkWrTpo0aNmxYYL3k5GQFBgbal8jIyMI2CQAAAKAYK3RyER8fr23btmnevHlXrZeYmKiMjAz7cvjw4cI2CQAAAKAYK1S3qGHDhmnRokX67rvvdMstt1y1rtVqldVqLVRwAAAAAEoOl5ILwzD097//XV988YVWr16tatWqFVVcAAAAAEoYl5KL+Ph4zZ07V19++aXKli2r9PR0SVJgYKACAgKKJEAAAAAAJYNLYy6mTZumjIwMtW/fXmFhYfZl/vz5RRUfAAAAgBLC5W5RAAAAAOBMoWeLAgAAAIDLkVwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMIWPpwPA9enfv7+nQyjQwoULPR1CidO+fXtPhwAAAGA67lwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAApl6tSpioqKkr+/v1q1aqUNGzZctf6ZM2cUHx+vsLAwWa1W1a5dW4sXL3ZTtAAAd/DxdAAAgJJn/vz5SkhI0PTp09WqVSulpKQoNjZWu3btUnBwcL76OTk5uvPOOxUcHKwFCxYoIiJCBw8eVPny5d0fPACgyJBcAABcNmnSJA0ZMkQDBgyQJE2fPl3ffPONZs2apeeeey5f/VmzZun06dNat26dfH19JUlRUVHuDBkA4AYudYuaNm2aGjdurHLlyqlcuXKKiYnRkiVLiio2AEAxlJOTo9TUVHXq1Mle5uXlpU6dOmn9+vVOt/nqq68UExOj+Ph4hYSEqGHDhho/frxyc3MLbCc7O1uZmZkOCwCgeHMpubjllls0YcIEpaamatOmTerQoYPuuece/fzzz0UVHwCgmDl16pRyc3MVEhLiUB4SEqL09HSn2+zbt08LFixQbm6uFi9erBdffFGvvfaaXnrppQLbSU5OVmBgoH2JjIw09X0AAMznUreoHj16OKy//PLLmjZtmr7//ns1aNDA6TbZ2dnKzs62r/PLEwD89dhsNgUHB2vGjBny9vZWixYtdOTIEf373/9WUlKS020SExOVkJBgX8/MzCTBAIBirtBjLnJzc/Xpp58qKytLMTExBdZLTk7W2LFjC9sMAKCYqVy5sry9vXX8+HGH8uPHjys0NNTpNmFhYfL19ZW3t7e9rF69ekpPT1dOTo78/PzybWO1WmW1Ws0NHgBQpFyeinbr1q0qU6aMrFarHn/8cX3xxReqX79+gfUTExOVkZFhXw4fPnxDAQMAPMvPz08tWrTQypUr7WU2m00rV64s8MemNm3aaM+ePbLZbPay3bt3KywszGliAQAomVxOLurUqaO0tDT98MMPeuKJJxQXF6ft27cXWN9qtdoHgOctAICSLSEhQTNnztR7772nHTt26IknnlBWVpZ99qh+/fopMTHRXv+JJ57Q6dOnNWLECO3evVvffPONxo8fr/j4eE+9BQBAEXC5W5Sfn59q1qwpSWrRooU2btyoyZMn6+233zY9OABA8dSrVy+dPHlSo0ePVnp6upo2baqlS5faB3kfOnRIXl7/9/tVZGSkli1bplGjRqlx48aKiIjQiBEj9Oyzz3rqLQAAisANP+fCZrM5DNgGAPw1DBs2TMOGDXP62urVq/OVxcTE6Pvvvy/iqAAAnuRScpGYmKiuXbuqSpUqOnv2rObOnavVq1dr2bJlRRUfAAAAgBLCpeTixIkT6tevn44dO6bAwEA1btxYy5Yt05133llU8QEAAAAoIVxKLt59992iigMAAABACefybFEAAAAA4AzJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABT+Hg6AJR8q1ev9nQITgUGBno6hAL179/f0yEAAACYjjsXAAAAAExBcgEAAADAFCQXAAAAAExBcgEAAADAFCQXAAAAAExBcgEAAADAFCQXAAAAAExBcgEAAADAFCQXAAAAAExBcgEAAADAFCQXAAAAAExBcgEAAADAFCQXAAAAAExBcgEAAADAFDeUXEyYMEEWi0UjR440KRwAAAAAJVWhk4uNGzfq7bffVuPGjc2MBwAAAEAJVajk4ty5c+rTp49mzpypChUqmB0TAAAAgBKoUMlFfHy8unXrpk6dOl2zbnZ2tjIzMx0WAAAAADcfH1c3mDdvnjZv3qyNGzdeV/3k5GSNHTvW5cAAAAAAlCwu3bk4fPiwRowYoY8++kj+/v7XtU1iYqIyMjLsy+HDhwsVKAAAAIDizaU7F6mpqTpx4oSaN29uL8vNzdV3332nKVOmKDs7W97e3g7bWK1WWa1Wc6IFAAAAUGy5lFx07NhRW7dudSgbMGCA6tatq2effTZfYgEAAADgr8Ol5KJs2bJq2LChQ1np0qVVqVKlfOUAAAAA/lp4QjcAAAAAU7g8W9SVVq9ebUIYAAAAAEo67lwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAApl6tSpioqKkr+/v1q1aqUNGzZc13bz5s2TxWJRz549izZAAIDbkVwAAFw2f/58JSQkKCkpSZs3b1aTJk0UGxurEydOXHW7AwcO6KmnnlLbtm3dFCkAwJ1ILgAALps0aZKGDBmiAQMGqH79+po+fbpKlSqlWbNmFbhNbm6u+vTpo7Fjx6p69epujBYA4C4kFwAAl+Tk5Cg1NVWdOnWyl3l5ealTp05av359gdv961//UnBwsAYNGnRd7WRnZyszM9NhAQAUbyQXAACXnDp1Srm5uQoJCXEoDwkJUXp6utNt1q5dq3fffVczZ8687naSk5MVGBhoXyIjI28obgBA0SO5AAAUqbNnz6pv376aOXOmKleufN3bJSYmKiMjw74cPny4CKMEAJjBx9MB4PqkpaV5OoQCzZkzx9MhOJWSkuLpEICbUuXKleXt7a3jx487lB8/flyhoaH56u/du1cHDhxQjx497GU2m02S5OPjo127dqlGjRr5trNarbJarSZHDwAoSty5AAC4xM/PTy1atNDKlSvtZTabTStXrlRMTEy++nXr1tXWrVuVlpZmX+6++27dcccdSktLo7sTANxEuHMBAHBZQkKC4uLiFB0drZYtWyolJUVZWVkaMGCAJKlfv36KiIhQcnKy/P391bBhQ4fty5cvL0n5ygEAJRvJBQDAZb169dLJkyc1evRopaenq2nTplq6dKl9kPehQ4fk5cXNcQD4qyG5AAAUyrBhwzRs2DCnr61evfqq2xbXsVoAgBvDz0oAAAAATEFyAQAAAMAUJBcAAAAATEFyAQAAAMAUJBcAAAAATEFyAQAAAMAUJBcAAAAATEFyAQAAAMAUJBcAAAAATEFyAQAAAMAUJBcAAAAATOFScjFmzBhZLBaHpW7dukUVGwAAAIASxMfVDRo0aKAVK1b83w58XN4FAAAAgJuQy5mBj4+PQkNDr7t+dna2srOz7euZmZmuNgkAAACgBHB5zMUvv/yi8PBwVa9eXX369NGhQ4euWj85OVmBgYH2JTIystDBAgAAACi+XEouWrVqpTlz5mjp0qWaNm2a9u/fr7Zt2+rs2bMFbpOYmKiMjAz7cvjw4RsOGgAAAEDx41K3qK5du9r/3bhxY7Vq1UpVq1bVJ598okGDBjndxmq1ymq13liUAAAAAIq9G5qKtnz58qpdu7b27NljVjwAAAAASqgbSi7OnTunvXv3KiwszKx4AAAAAJRQLiUXTz31lNasWaMDBw5o3bp1uvfee+Xt7a3evXsXVXwAAAAASgiXxlz8+uuv6t27t3777TcFBQXptttu0/fff6+goKCiig8AAABACeFScjFv3ryiigMAAABACXdDYy4AAAAAIA/JBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABTkFwAAAAAMAXJBQAAAABT+Hg6AFyflJQUT4dQoIyMDE+H4FRUVJSnQyjQwoULPR1CgdLS0jwdglMjR470dAj5ZGZmejoEAACKFe5cAAAAADAFyQUAAAAAU5BcAAAAADAFyQUAAAAAU5BcAAAAADAFyQUAAAAAU5BcAAAAADAFyQUAAAAAU5BcAAAAADAFyQUAAAAAU5BcAAAAADAFyQUAAAAAU5BcAAAAADAFyQUAoFCmTp2qqKgo+fv7q1WrVtqwYUOBdWfOnKm2bduqQoUKqlChgjp16nTV+gCAksnl5OLIkSN69NFHValSJQUEBKhRo0batGlTUcQGACim5s+fr4SEBCUlJWnz5s1q0qSJYmNjdeLECaf1V69erd69e2vVqlVav369IiMj1blzZx05csTNkQMAipJLycXvv/+uNm3ayNfXV0uWLNH27dv12muvqUKFCkUVHwCgGJo0aZKGDBmiAQMGqH79+po+fbpKlSqlWbNmOa3/0Ucf6cknn1TTpk1Vt25dvfPOO7LZbFq5cqWbIwcAFCUfVypPnDhRkZGRmj17tr2sWrVqpgcFACi+cnJylJqaqsTERHuZl5eXOnXqpPXr11/XPs6fP6+LFy+qYsWKBdbJzs5Wdna2fT0zM7PwQQMA3MKlOxdfffWVoqOj9eCDDyo4OFjNmjXTzJkzr7pNdna2MjMzHRYAQMl16tQp5ebmKiQkxKE8JCRE6enp17WPZ599VuHh4erUqVOBdZKTkxUYGGhfIiMjbyhuAEDRcym52Ldvn6ZNm6ZatWpp2bJleuKJJzR8+HC99957BW7DxQEAcLkJEyZo3rx5+uKLL+Tv719gvcTERGVkZNiXw4cPuzFKAEBhuNQtymazKTo6WuPHj5ckNWvWTNu2bdP06dMVFxfndJvExEQlJCTY1zMzM0kwAKAEq1y5sry9vXX8+HGH8uPHjys0NPSq27766quaMGGCVqxYocaNG1+1rtVqldVqveF4AQDu49Kdi7CwMNWvX9+hrF69ejp06FCB21itVpUrV85hAQCUXH5+fmrRooXDYOy8wdkxMTEFbvfKK69o3LhxWrp0qaKjo90RKgDAzVy6c9GmTRvt2rXLoWz37t2qWrWqqUEBAIq3hIQExcXFKTo6Wi1btlRKSoqysrI0YMAASVK/fv0UERGh5ORkSX9OCDJ69GjNnTtXUVFR9rEZZcqUUZkyZTz2PgAA5nIpuRg1apRat26t8ePH66GHHtKGDRs0Y8YMzZgxo6jiAwAUQ7169dLJkyc1evRopaenq2nTplq6dKl9kPehQ4fk5fV/N8enTZumnJwcPfDAAw77SUpK0pgxY9wZOgCgCLmUXNx666364osvlJiYqH/961+qVq2aUlJS1KdPn6KKDwBQTA0bNkzDhg1z+trq1asd1g8cOFD0AQEAPM6l5EKSunfvru7duxdFLAAAAABKMJcGdAMAAABAQUguAAAAAJiC5AIAAACAKUguAAAAAJiC5AIAAACAKUguAAAAAJiC5AIAAACAKUguAAAAAJiC5AIAAACAKUguAAAAAJiC5AIAAACAKUguAAAAAJjCx9MB4PqkpaV5OoQS54477vB0CDBRVFSUp0PI58KFC54OAQCAYoU7FwAAAABMQXIBAAAAwBQkFwAAAABMQXIBAAAAwBQkFwAAAABMQXIBAAAAwBQkFwAAAABMQXIBAAAAwBQkFwAAAABMQXIBAAAAwBQkFwAAAABMQXIBAAAAwBQkFwAAAABMQXIBAAAAwBQkFwAAAABM4VJyERUVJYvFkm+Jj48vqvgAAAAAlBA+rlTeuHGjcnNz7evbtm3TnXfeqQcffND0wAAAAACULC4lF0FBQQ7rEyZMUI0aNdSuXbsCt8nOzlZ2drZ9PTMz08UQAQAAAJQEhR5zkZOTow8//FADBw6UxWIpsF5ycrICAwPtS2RkZGGbBAAAAFCMFTq5WLhwoc6cOaP+/ftftV5iYqIyMjLsy+HDhwvbJAAAAIBizKVuUZd799131bVrV4WHh1+1ntVqldVqLWwzAAAAAEqIQiUXBw8e1IoVK/T555+bHQ8AAACAEqpQ3aJmz56t4OBgdevWzex4AAAAAJRQLicXNptNs2fPVlxcnHx8Ct2rCgAAAMBNxuXkYsWKFTp06JAGDhxYFPEAAAAAKKFcvvXQuXNnGYZRFLEAAAAAKMEKPRUtAAAAAFyO5AIAAACAKUguAAAAAJiC5AIAAACAKUguAAAAAJiC5AIAAACAKUguAAAAAJiC5AIAAACAKUguAACFMnXqVEVFRcnf31+tWrXShg0brlr/008/Vd26deXv769GjRpp8eLFbooUAOAuJBcAAJfNnz9fCQkJSkpK0ubNm9WkSRPFxsbqxIkTTuuvW7dOvXv31qBBg/Tjjz+qZ8+e6tmzp7Zt2+bmyAEARYnkAgDgskmTJmnIkCEaMGCA6tevr+nTp6tUqVKaNWuW0/qTJ09Wly5d9PTTT6tevXoaN26cmjdvrilTprg5cgBAUfJxd4OGYUiSMjMz3d10iZabm+vpEACPunDhgqdDyCcvprzz2l9FTk6OUlNTlZiYaC/z8vJSp06dtH79eqfbrF+/XgkJCQ5lsbGxWrhwYYHtZGdnKzs7276ekZEhietHicJnBdwU8s6713O9c3tycfbsWUlSZGSku5sGUII9+eSTng6hQGfPnlVgYKCnw3CbU6dOKTc3VyEhIQ7lISEh2rlzp9Nt0tPTndZPT08vsJ3k5GSNHTs2XznXjxLkL/T/AvgruJ7rnduTi/DwcB0+fFhly5aVxWK5oX1lZmYqMjJShw8fVrly5UyK8ObGMXMdx8x1f5VjZhiGzp49q/DwcE+HclNKTEx0uNths9l0+vRpVapU6YavH9erOPwtE4Pn2yeG4tE+MXiufVeud25PLry8vHTLLbeYus9y5crd1F9gigLHzHUcM9f9FY7ZX+mORZ7KlSvL29tbx48fdyg/fvy4QkNDnW4TGhrqUn1JslqtslqtDmXly5cvXNA3qDj8LROD59snhuLRPjF4pv3rvd4xoBsA4BI/Pz+1aNFCK1eutJfZbDatXLlSMTExTreJiYlxqC9Jy5cvL7A+AKBkcvudCwBAyZeQkKC4uDhFR0erZcuWSklJUVZWlgYMGCBJ6tevnyIiIpScnCxJGjFihNq1a6fXXntN3bp107x587Rp0ybNmDHDk28DAGCyEp1cWK1WJSUl5bttjoJxzFzHMXMdx+zm16tXL508eVKjR49Wenq6mjZtqqVLl9oHbR86dEheXv93c7x169aaO3eu/vnPf+r5559XrVq1tHDhQjVs2NBTb+G6FIe/ZWLwfPvEUDzaJ4bi0f61WIy/2hyKAAAAAIoEYy4AAAAAmILkAgAAAIApSC4AAAAAmILkAgAAAIApSmxyMXXqVEVFRcnf31+tWrXShg0bPB1SsZWcnKxbb71VZcuWVXBwsHr27Kldu3Z5OqwSZcKECbJYLBo5cqSnQynWjhw5okcffVSVKlVSQECAGjVqpE2bNnk6LKDQPHmt+e6779SjRw+Fh4fLYrFo4cKFbmtbKh7XjmnTpqlx48b2h4XFxMRoyZIlbo3hcp64FowZM0YWi8VhqVu3rtvaz+Pp83tUVFS+42CxWBQfH++W9nNzc/Xiiy+qWrVqCggIUI0aNTRu3Di5e16ks2fPauTIkapataoCAgLUunVrbdy40a0xXEuJTC7mz5+vhIQEJSUlafPmzWrSpIliY2N14sQJT4dWLK1Zs0bx8fH6/vvvtXz5cl28eFGdO3dWVlaWp0MrETZu3Ki3335bjRs39nQoxdrvv/+uNm3ayNfXV0uWLNH27dv12muvqUKFCp4ODSgUT19rsrKy1KRJE02dOtUt7V2pOFw7brnlFk2YMEGpqanatGmTOnTooHvuuUc///yz22LI48lrQYMGDXTs2DH7snbtWre2XxzO7xs3bnQ4BsuXL5ckPfjgg25pf+LEiZo2bZqmTJmiHTt2aOLEiXrllVf05ptvuqX9PIMHD9by5cv1wQcfaOvWrercubM6deqkI0eOuDWOqzJKoJYtWxrx8fH29dzcXCM8PNxITk72YFQlx4kTJwxJxpo1azwdSrF39uxZo1atWsby5cuNdu3aGSNGjPB0SMXWs88+a9x2222eDgMwTXG61kgyvvjiC7e3e7nicu2oUKGC8c4777i1TU9eC5KSkowmTZq4rT1niuP5fcSIEUaNGjUMm83mlva6detmDBw40KHsvvvuM/r06eOW9g3DMM6fP294e3sbixYtcihv3ry58cILL7gtjmspcXcucnJylJqaqk6dOtnLvLy81KlTJ61fv96DkZUcGRkZkqSKFSt6OJLiLz4+Xt26dXP4e4NzX331laKjo/Xggw8qODhYzZo108yZMz0dFlAoXGvy8/S1Izc3V/PmzVNWVpZiYmLc2ranrwW//PKLwsPDVb16dfXp00eHDh1ya/vF7fyek5OjDz/8UAMHDpTFYnFLm61bt9bKlSu1e/duSdKWLVu0du1ade3a1S3tS9KlS5eUm5srf39/h/KAgAC33826mhL3hO5Tp04pNzfX/hTYPCEhIdq5c6eHoio5bDabRo4cqTZt2hT7J+N62rx587R58+Zi15exuNq3b5+mTZumhIQEPf/889q4caOGDx8uPz8/xcXFeTo8wCVcaxx58tqxdetWxcTE6I8//lCZMmX0xRdfqH79+m5r39PXglatWmnOnDmqU6eOjh07prFjx6pt27batm2bypYt65YYitv5feHChTpz5oz69+/vtjafe+45ZWZmqm7duvL29lZubq5efvll9enTx20xlC1bVjExMRo3bpzq1aunkJAQffzxx1q/fr1q1qzptjiupcQlF7gx8fHx2rZtW7HKcIujw4cPa8SIEVq+fHm+XwjgnM1mU3R0tMaPHy9JatasmbZt26bp06eTXAAlnCevHXXq1FFaWpoyMjK0YMECxcXFac2aNW5JMIrDteDyX8YbN26sVq1aqWrVqvrkk080aNAgt8RQ3M7v7777rrp27arw8HC3tfnJJ5/oo48+0ty5c9WgQQOlpaVp5MiRCg8Pd+sx+OCDDzRw4EBFRETI29tbzZs3V+/evZWamuq2GK6lxHWLqly5sry9vXX8+HGH8uPHjys0NNRDUZUMw4YN06JFi7Rq1Srdcsstng6nWEtNTdWJEyfUvHlz+fj4yMfHR2vWrNEbb7whHx8f5ebmejrEYicsLCzfxb5evXpuv30PmIFrzf/x9LXDz89PNWvWVIsWLZScnKwmTZpo8uTJbmm7OF4Lypcvr9q1a2vPnj1ua7M4nd8PHjyoFStWaPDgwW5t9+mnn9Zzzz2nhx9+WI0aNVLfvn01atQoJScnuzWOGjVqaM2aNTp37pwOHz6sDRs26OLFi6pevbpb47iaEpdc+Pn5qUWLFlq5cqW9zGazaeXKlW7vg1lSGIahYcOG6YsvvtB//vMfVatWzdMhFXsdO3bU1q1blZaWZl+io6PVp08fpaWlydvb29MhFjtt2rTJN03l7t27VbVqVQ9FBBQe15rie+2w2WzKzs52S1vF8Vpw7tw57d27V2FhYW5rszid32fPnq3g4GB169bNre2eP39eXl6OX5u9vb1ls9ncGkee0qVLKywsTL///ruWLVume+65xyNxOFMiu0UlJCQoLi5O0dHRatmypVJSUpSVlaUBAwZ4OrRiKT4+XnPnztWXX36psmXLKj09XZIUGBiogIAAD0dXPJUtWzZfv+LSpUurUqVKjFUpwKhRo9S6dWuNHz9eDz30kDZs2KAZM2ZoxowZng4NKBRPX2vOnTvn8Ov0/v37lZaWpooVK6pKlSpF3n5xuHYkJiaqa9euqlKlis6ePau5c+dq9erVWrZsmVvaLw7Xgqeeeko9evRQ1apVdfToUSUlJcnb21u9e/d2S/tS8Tm/22w2zZ49W3FxcfLxce9X2B49eujll19WlSpV1KBBA/3444+aNGmSBg4c6NY4li1bJsMwVKdOHe3Zs0dPP/206tatW7y+A3t4tqpCe/PNN40qVaoYfn5+RsuWLY3vv//e0yEVW5KcLrNnz/Z0aCUKU9Fe29dff200bNjQsFqtRt26dY0ZM2Z4OiTghnjyWrNq1Sqn5+64uDi3tF8crh0DBw40qlatavj5+RlBQUFGx44djW+//dZt7Tvj7mtBr169jLCwMMPPz8+IiIgwevXqZezZs8dt7ecpDuf3ZcuWGZKMXbt2ub3tzMxMY8SIEUaVKlUMf39/o3r16sYLL7xgZGdnuzWO+fPnG9WrVzf8/PyM0NBQIz4+3jhz5oxbY7gWi2G4+dGCAAAAAG5KJW7MBQAAAIDiieQCAAAAgClILgAAAACYguQCAAAAgClILgAAAACYguQCAAAAgClILgAAAACYguQCAAAAgClILgAAAP4/i8WihQsXXnf91atXy2Kx6MyZM6bGERUVpZSUFFP3CbgDyQUAALip9e/fXxaLRRaLRb6+vgoJCdGdd96pWbNmyWazOdQ9duyYunbtet37bt26tY4dO6bAwEBJ0pw5c1S+fHkzwwdKFJILAABw0+vSpYuOHTumAwcOaMmSJbrjjjs0YsQIde/eXZcuXbLXCw0NldVqve79+vn5KTQ0VBaLpSjCBkockgsAAHDTs1qtCg0NVUREhJo3b67nn39eX375pZYsWaI5c+bY613ZLWrdunVq2rSp/P39FR0drYULF8pisSgtLU2SY7eo1atXa8CAAcrIyLDfKRkzZkyBMX399de69dZb5e/vr8qVK+vee+8tsO6kSZPUqFEjlS5dWpGRkXryySd17tw5++sHDx5Ujx49VKFCBZUuXVoNGjTQ4sWLJUm///67+vTpo6CgIAUEBKhWrVqaPXt2oY4jcC0+ng4AAADAEzp06KAmTZro888/1+DBg/O9npmZqR49euiuu+7S3LlzdfDgQY0cObLA/bVu3VopKSkaPXq0du3aJUkqU6aM07rffPON7r33Xr3wwgt6//33lZOTY08GnPHy8tIbb7yhatWqad++fXryySf1zDPP6K233pIkxcfHKycnR999951Kly6t7du329t+8cUXtX37di1ZskSVK1fWnj17dOHChes9TIBLSC4AAMBfVt26dfXTTz85fW3u3LmyWCyaOXOm/P39Vb9+fR05ckRDhgxxWt/Pz0+BgYGyWCwKDQ29arsvv/yyHn74YY0dO9Ze1qRJkwLrX57UREVF6aWXXtLjjz9uTy4OHTqk+++/X40aNZIkVa9e3V7/0KFDatasmaKjo+3bA0WFblEAAOAvyzCMAsdL7Nq1S40bN5a/v7+9rGXLlqa0m5aWpo4dO153/RUrVqhjx46KiIhQ2bJl1bdvX/322286f/68JGn48OF66aWX1KZNGyUlJTkkTE888YTmzZunpk2b6plnntG6detMeQ+AMyQXAADgL2vHjh2qVq2a29sNCAi47roHDhxQ9+7d1bhxY3322WdKTU3V1KlTJUk5OTmSpMGDB2vfvn3q27evtm7dqujoaL355puSpK5du+rgwYMaNWqUjh49qo4dO+qpp54y/00BIrkAAAB/Uf/5z3+0detW3X///U5fr1OnjrZu3ars7Gx72caNG6+6Tz8/P+Xm5l6z7caNG2vlypXXFWdqaqpsNptee+01/e1vf1Pt2rV19OjRfPUiIyP1+OOP6/PPP9c//vEPzZw50/5aUFCQ4uLi9OGHHyolJUUzZsy4rrYBV5FcAACAm152drbS09N15MgRbd68WePHj9c999yj7t27q1+/fk63eeSRR2Sz2TR06FDt2LFDy5Yt06uvvipJBXalioqK0rlz57Ry5UqdOnXK3m3pSklJSfr444+VlJSkHTt2aOvWrZo4caLTujVr1tTFixf15ptvat++ffrggw80ffp0hzojR47UsmXLtH//fm3evFmrVq1SvXr1JEmjR4/Wl19+qT179ujnn3/WokWL7K8BZiO5AAAAN72lS5cqLCxMUVFR6tKli1atWqU33nhDX375pby9vZ1uU65cOX399ddKS0tT06ZN9cILL2j06NGS5DAO43KtW7fW448/rl69eikoKEivvPKK03rt27fXp59+qq+++kpNmzZVhw4dtGHDBqd1mzRpokmTJmnixIlq2LChPvroIyUnJzvUyc3NVXx8vOrVq6cuXbqodu3a9sHefn5+SkxMVOPGjXX77bfL29tb8+bNu67jBrjKYhiG4ekgAAAASoKPPvrI/iwLV8ZNAH8VTEULAABQgPfff1/Vq1dXRESEtmzZomeffVYPPfQQiQVQAJILAACAAqSnp2v06NFKT09XWFiYHnzwQb388sueDgsotugWBQAAAMAUDOgGAAAAYAqSCwAAAACmILkAAAAAYAqSCwAAAACmILkAAAAAYAqSCwAAAACmILkAAAAAYAqSCwAAAACm+H+M3lvCZAutYAAAAABJRU5ErkJggg==", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -815,14 +815,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -991,14 +991,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "np.float64(3513.8555345759937)" ] }, + "execution_count": 24, "metadata": {}, - "execution_count": 24 + "output_type": "execute_result" } ], "source": [ @@ -1017,14 +1017,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "np.float64(0.11263916175507531)" ] }, + "execution_count": 25, "metadata": {}, - "execution_count": 25 + "output_type": "execute_result" } ], "source": [ @@ -1044,14 +1044,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1080,8 +1080,8 @@ }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Random init: train loss: 3513.85553, train acc: 0.113, test acc: 0.122\n", "Epoch #1, train loss: 2637.79246, train acc: 0.445, test acc: 0.404\n", @@ -1135,14 +1135,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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yPAYYM2M3EhERkeUxwFiAcW4kdiMRERFZBAOMBcT0YzcSERGRJTHAWAC7kYiIiCyLAcZC2I1ERERkOQwwFnJtN1Iuu5GIiIjMigHGQtyd5biLcyMRERFZBAOMBU1o7EZK5nMwREREZsUAY0HsRiIiIrIMBhgLYjcSERGRZTDAWFhchBoAsDlTI3ElREREtoMBxsJiwtWwtxNwskDHbiQiIiIzYYCxMA8XdiMRERGZGwNMB2A3EhERkXkxwHSAmHA1ZI3dSGcvV0hdDhERkdVjgOkAHi5y3NXTCwC7kYiIiMyBAaaDTBjAQe2IiIjMhQGmg7AbiYiIyHwYYDoIu5GIiIjMhwGmA8U1zo20md1IREREt4QBpgPF9mvoRjrBbiQiIqJbwgDTgdiNREREZB4MMB2M3UhERES3rk0BZuXKlRgwYACUSiWUSiWioqKwZcsW4/7q6mrEx8fDy8sLrq6umDJlCgoLC03OkZeXh7i4ODg7O8PX1xeLFi1CfX29SZtdu3Zh8ODBUCgU6NWrF9asWdP+K+xkYq7pRjrHbiQiIqJ2aVOACQwMxNtvv4309HT88ssvuOeee/DAAw8gKysLALBgwQJs2rQJ3333HXbv3o38/HxMnjzZeLxer0dcXBxqa2uxb98+fPHFF1izZg0WL15sbHP27FnExcVhzJgxyMjIwPz58zFnzhykpKSY6ZKl5XlNN9JmdiMRERG1iyCKongrJ/D09MSyZcvw0EMPwcfHB2vXrsVDDz0EAMjOzkbfvn2RlpaGO++8E1u2bMGECROQn58PPz8/AMCqVauQkJCA4uJiyOVyJCQkYPPmzTh+/LjxM6ZOnYrS0lJs3br1pnXU1NSgpqbGuK7T6RAUFAStVgulUnkrl2h23xzMw4vrMxHur8SPz42UuhwiIqJOQ6fTQaVStfj7u93PwOj1enzzzTeoqKhAVFQU0tPTUVdXh+joaGObPn36IDg4GGlpaQCAtLQ0REREGMMLAMTGxkKn0xnv4qSlpZmco6lN0zluJikpCSqVyrgEBQW199Isjt1IREREt6bNASYzMxOurq5QKBSYO3cuNmzYgPDwcGg0Gsjlcri7u5u09/Pzg0bTMAuzRqMxCS9N+5v2/V4bnU6Hqqqqm9aVmJgIrVZrXC5cuNDWS+sw7EYiIiK6NW0OMGFhYcjIyMCBAwfwzDPPYNasWThx4oQlamsThUJhfLi4aenM7mt8G4mvUxMREbVdmwOMXC5Hr169MGTIECQlJSEyMhIffvgh1Go1amtrUVpaatK+sLAQarUaAKBWq294K6lpvaU2SqUSTk5ObS2302oa1C4rn91IREREbXXL48AYDAbU1NRgyJAhcHBwwPbt2437cnJykJeXh6ioKABAVFQUMjMzUVRUZGyTmpoKpVKJ8PBwY5trz9HUpukctoLdSERERO3XpgCTmJiIPXv24Ny5c8jMzERiYiJ27dqFadOmQaVSYfbs2Vi4cCF27tyJ9PR0PP7444iKisKdd94JAIiJiUF4eDhmzJiBo0ePIiUlBS+99BLi4+OhUCgAAHPnzkVubi5eeOEFZGdnY8WKFVi3bh0WLFhg/quXGLuRiIiI2qdNAaaoqAgzZ85EWFgYxo4di0OHDiElJQX33nsvAGD58uWYMGECpkyZglGjRkGtVmP9+vXG42UyGZKTkyGTyRAVFYXp06dj5syZWLJkibFNaGgoNm/ejNTUVERGRuK9997DZ599htjYWDNdcufBbiQiIqL2ueVxYDqr1r5HLrXpnx3A3tOXsSg2DPFjekldDhERkaQsPg4MmUfcAHYjERERtRUDjMSu7UY6X8JuJCIiotZggJGYp4scUT34NhIREVFbMMB0AnwbiYiIqG0YYDqB2H5+kNkJOH6J3UhEREStwQDTCXi5KtiNRERE1AYMMJ0Eu5GIiIhajwGmk2A3EhERUesxwHQSXq4K3NnDEwC7kYiIiFrCANOJxEUEAGA3EhERUUsYYDqRa7uR8koqpS6HiIio02KA6UTYjURERNQ6DDCdDN9GIiIiahkDTCczrp8adgKQeUnLbiQiIqKbYIDpZLxcFYjqyUHtiIiIfg8DTCfEbiQiIqLfxwDTCcWyG4mIiOh3McB0Qt6uCtzJuZGIiIhuigGmk4obwG4kIiKim2GA6aTYjURERHRzDDCd1LXdSD8e510YIiKiazHAdGJ8G4mIiKh5DDCd2Lj+Dd1Ixy6yG4mIiOhaDDCdGLuRiIiImscA08mxG4mIiOhGDDCd3LXdSBeusBuJiIgIYIDp9DioHRER0Y0YYKwAu5GIiIhMMcBYAXYjERERmWKAsQLergoMC23oRko+xrswREREDDBWYmJkAABg45FLEEVR4mqIiIikxQBjJeIi/CGX2SGnsAwnCnRSl0NERCQpBhgroXJ2wNi+vgCADYcvSVwNERGRtBhgrMiDg7oBAL4/mo96vUHiaoiIiKTDAGNFRof5wsPZAcVlNfj5TInU5RAREUmGAcaKyO3tMGFAw8O8Gw5flLgaIiIi6TDAWJkHBzd0I6VkFaKipl7iaoiIiKTBAGNlBgW5I9TbBVV1emw9rpG6HCIiIkkwwFgZQRAwaWDDXZgNR/g2EhERdU0MMFao6W2kn89chkZbLXE1REREHa9NASYpKQm333473Nzc4Ovri0mTJiEnJ8ekzejRoyEIgskyd+5ckzZ5eXmIi4uDs7MzfH19sWjRItTXmz7PsWvXLgwePBgKhQK9evXCmjVr2neFNijYyxlDQzwgisD3GbwLQ0REXU+bAszu3bsRHx+P/fv3IzU1FXV1dYiJiUFFRYVJuyeffBIFBQXGZenSpcZ9er0ecXFxqK2txb59+/DFF19gzZo1WLx4sbHN2bNnERcXhzFjxiAjIwPz58/HnDlzkJKScouXazuaHuZlNxIREXVFgngLE+sUFxfD19cXu3fvxqhRowA03IEZOHAgPvjgg2aP2bJlCyZMmID8/Hz4+fkBAFatWoWEhAQUFxdDLpcjISEBmzdvxvHjx43HTZ06FaWlpdi6dWuratPpdFCpVNBqtVAqle29xE5LW1mH29/chlq9AT8+OxLhAbZ3jURE1PW09vf3LT0Do9VqAQCenp4m27/66it4e3ujf//+SExMRGVlpXFfWloaIiIijOEFAGJjY6HT6ZCVlWVsEx0dbXLO2NhYpKWl3bSWmpoa6HQ6k8WWqZwdcE+fxqkFjnBMGCIi6lraHWAMBgPmz5+P4cOHo3///sbtjz76KL788kvs3LkTiYmJ+Pe//43p06cb92s0GpPwAsC4rtFofreNTqdDVVVVs/UkJSVBpVIZl6CgoPZemtVo6kb6PiMfegNnqCYioq7Dvr0HxsfH4/jx49i7d6/J9qeeesr454iICPj7+2Ps2LE4c+YMevbs2f5KW5CYmIiFCxca13U6nc2HmDFhvnB3dkBRWQ1+Pn0Zo27zkbokIiKiDtGuOzDz5s1DcnIydu7cicDAwN9tO2zYMADA6dOnAQBqtRqFhYUmbZrW1Wr177ZRKpVwcnJq9nMUCgWUSqXJYusaphbwB8CHeYmIqGtpU4ARRRHz5s3Dhg0bsGPHDoSGhrZ4TEZGBgDA37/hF21UVBQyMzNRVFRkbJOamgqlUonw8HBjm+3bt5ucJzU1FVFRUW0pt0t4cFBDgNx6XMOpBYiIqMtoU4CJj4/Hl19+ibVr18LNzQ0ajQYajcb4XMqZM2fw+uuvIz09HefOncMPP/yAmTNnYtSoURgwYAAAICYmBuHh4ZgxYwaOHj2KlJQUvPTSS4iPj4dCoQAAzJ07F7m5uXjhhReQnZ2NFStWYN26dViwYIGZL9/6DQ52R3cvZ1TV6ZGSxakFiIioa2hTgFm5ciW0Wi1Gjx4Nf39/4/Ltt98CAORyObZt24aYmBj06dMHzz//PKZMmYJNmzYZzyGTyZCcnAyZTIaoqChMnz4dM2fOxJIlS4xtQkNDsXnzZqSmpiIyMhLvvfcePvvsM8TGxprpsm2HIAiYNIhjwhARUddyS+PAdGa2Pg7Mtc6XVODuZbtgJwBpiWPhp3SUuiQiIqJ26ZBxYKhzCPFywZAQDxg4tQAREXURDDA2ommCx/WHGWCIiMj2McDYiAkD/CGX2SFbU4aTBbY9CjEREREDjI1wd5ZjTJ+Ggez4MC8REdk6Bhgb0jQmzPcZlzi1ABER2TQGGBsypo8PVE4OKNTVYN+Zy1KXQ0REZDEMMDZEYS/7bWoBPsxLREQ2jAHGxkxunKF6a5YGlbWcWoCIiGwTA4yNGRzsgRAvZ1TWcmoBIiKyXQwwNkYQBEwayDFhiIjItjHA2KCmQe1+Pn0ZRbpqiashIiIyPwYYG9Td2wWDg90bpxbIl7ocIiIis2OAsVEPDm4YE2Y9B7UjIiIbxABjoyZE+MNBJuBkgQ7ZGk4tQEREtoUBxkZ5uMgxJswXAMeEISIi28MAY8OaxoTZyKkFiIjIxjDA2LAxfXyNUwuknSmRuhwiIiKzYYCxYQp7GeIapxZYf+SixNUQERGZDwOMjZvcOCbM1uOcWoCIiGwHA4yNGxLigWDPhqkFfsoqlLocIiIis2CAsXGCIGBS410YjglDRES2ggGmC2iaWmDvqWJOLUBERDaBAaYLCPV2waDGqQV+OMqpBYiIyPoxwHQRTQ/zcoZqIiKyBQwwXcSEAQFwkAk4UaBDjqZM6nKIiIhuCQNMF+HhIsfoxqkFOCYMERFZOwaYLqSpG+n7I/mcWoCIiKwaA0wXck9fXygd7aHRVWN/LqcWICIi68UA04U0TC0QAIAP8xIRkXVjgOlimmao3nq8AFW1eomrISIiah8GmC5maIgHgjydUFGrx08nNFKXQ0RE1C4MMF2MIAh4cCDHhCEiIuvGANMFPTg4EADwv1PFKCrj1AJERGR9GGC6oFBvFwwMapxaIINTCxARkfVhgOmimh7m3cAZqomIyAoxwHRREwYEwN5OQFa+Dr8WcmoBIiKyLgwwXZTntVML8GFeIiKyMgwwXVhTN9L3GZdg4NQCRERkRRhgurB7+vjCzdEeBVpOLUBERNaFAaYLc3SQYcIAfwDAej7MS0REVoQBpot7cFDDmDBbMjm1ABERWY82BZikpCTcfvvtcHNzg6+vLyZNmoScnByTNtXV1YiPj4eXlxdcXV0xZcoUFBYWmrTJy8tDXFwcnJ2d4evri0WLFqG+vt6kza5duzB48GAoFAr06tULa9asad8V0u8aGuKBQA9OLUBERNalTQFm9+7diI+Px/79+5Gamoq6ujrExMSgoqLC2GbBggXYtGkTvvvuO+zevRv5+fmYPHmycb9er0dcXBxqa2uxb98+fPHFF1izZg0WL15sbHP27FnExcVhzJgxyMjIwPz58zFnzhykpKSY4ZLpWnZ2Ah4cxDFhiIjIugiiKLb79ZPi4mL4+vpi9+7dGDVqFLRaLXx8fLB27Vo89NBDAIDs7Gz07dsXaWlpuPPOO7FlyxZMmDAB+fn58PPzAwCsWrUKCQkJKC4uhlwuR0JCAjZv3ozjx48bP2vq1KkoLS3F1q1bW1WbTqeDSqWCVquFUqls7yV2CbnF5bjnvd2Q2QnYnzgWPm4KqUsiIqIuqrW/v2/pGRitVgsA8PT0BACkp6ejrq4O0dHRxjZ9+vRBcHAw0tLSAABpaWmIiIgwhhcAiI2NhU6nQ1ZWlrHNtedoatN0jubU1NRAp9OZLNQ6PXxcERnkDr1BxA9HObUAERF1fu0OMAaDAfPnz8fw4cPRv39/AIBGo4FcLoe7u7tJWz8/P2g0GmOba8NL0/6mfb/XRqfToaqqqtl6kpKSoFKpjEtQUFB7L61LmmzsRroocSVEREQta3eAiY+Px/Hjx/HNN9+Ys552S0xMhFarNS4XLlyQuiSrMjGyYWqB45d0OMWpBYiIqJNrV4CZN28ekpOTsXPnTgQGBhq3q9Vq1NbWorS01KR9YWEh1Gq1sc31byU1rbfURqlUwsnJqdmaFAoFlEqlyUKt1zC1gA8AjglDRESdX5sCjCiKmDdvHjZs2IAdO3YgNDTUZP+QIUPg4OCA7du3G7fl5OQgLy8PUVFRAICoqChkZmaiqKjI2CY1NRVKpRLh4eHGNteeo6lN0znIMprGhPn+CKcWICKizq1NASY+Ph5ffvkl1q5dCzc3N2g0Gmg0GuNzKSqVCrNnz8bChQuxc+dOpKen4/HHH0dUVBTuvPNOAEBMTAzCw8MxY8YMHD16FCkpKXjppZcQHx8PhaLh7Ze5c+ciNzcXL7zwArKzs7FixQqsW7cOCxYsMPPl07XG9m2YWiBfW439Zzm1ABERdV5tCjArV66EVqvF6NGj4e/vb1y+/fZbY5vly5djwoQJmDJlCkaNGgW1Wo3169cb98tkMiQnJ0MmkyEqKgrTp0/HzJkzsWTJEmOb0NBQbN68GampqYiMjMR7772Hzz77DLGxsWa4ZLoZRwcZ4iIaphbYwBmqiYioE7ulcWA6M44D0z4Hckvw8Or9cFXY49Bfo+Ekl0ldEhERdSEdMg4M2Z7bu3uim7sTymvqkXqysOUDiIiIJMAAQyZMphY4zDFhiIioc2KAoRs8OLghwOw5dRnFZTUSV0NERHQjBhi6QU8fV0QGqqA3iNjEqQWIiKgTYoChZnGGaiIi6swYYKhZTVMLZF7S4nQRpxYgIqLOhQGGmuXlqsDdtzVOLcAxYYiIqJNhgKGbanqY9/uMfE4tQEREnQoDDN1UdF8/uCnscam0CgfOXpG6HCIiIiMGGLopRwcZ7mucWuAfe3MlroaIiOg3DDD0u54c1QMyOwHbThZh35nLUpdDREQEgAGGWtDL1xXThgUDAN5IPgk9n4UhIqJOgAGGWvTc2N5wc7THiQId1nN6ASIi6gQYYKhFXq4KzBvTCwCwLCUHlbX1EldERERdHQMMtcqsu7ojyNMJRWU1WL2HD/QSEZG0GGCoVRwdZHhxXF8AwN9256JQVy1xRURE1JUxwFCr3RehxpAQD1TV6fFuSo7U5RARURfGAEOtJggC/hrXcBfmP4cv4vglrcQVERFRV8UAQ20yONgD90cGQBSBNzefhCjytWoiIup4DDDUZi+MC4Pc3g5puSXYfrJI6nKIiKgLYoChNgv0cMbsEaEAgLd+PIk6vUHiioiIqKthgKF2+dPonvBykSP3cgXWHsiTuhwiIupiGGCoXdwcHbDg3tsAAB9s+xXayjqJKyIioq6EAYbabertQejt64qrlXX4ZOcpqcshIqIuhAGG2s1eZof/a3yt+ot953G+pELiioiIqKtggKFbMvo2H4zs7Y1avQHvbM2WuhwiIuoiGGDoljQNbmcnAD9manDo3BWpSyIioi6AAYZuWR+1Eg/fHgQAeGPzSRgMHNyOiIgsiwGGzGLBvbfBRS7D0Qul2HQsX+pyiIjIxjHAkFn4ujnimdE9AQBLt+aguk4vcUVERGTLGGDIbOaM7IEAlSMulVbhH3vPSl0OERHZMAYYMhtHBxleGNcHALBi52kUl9VIXBEREdkqBhgyq/sjAzAgUIWKWj2Wb/tV6nKIiMhGMcCQWdnZCXgpLhwA8M3BPORoyiSuiIiIbBEDDJndHaGeGN9fDYPYMFs1ERGRuTHAkEW8OL4PHGQCdv9ajF05RVKXQ0RENoYBhiwixMsFs6K6A2i4C1OvN0hbEBER2RQGGLKYP9/TG+7ODvi1sBzrfrkodTlERGRDGGDIYlTODnhubG8AwPupOSirrpO4IiIishUMMGRR0+8MQQ9vF1wur8XKXWekLoeIiGxEmwPMnj17MHHiRAQEBEAQBGzcuNFk/2OPPQZBEEyWcePGmbS5cuUKpk2bBqVSCXd3d8yePRvl5eUmbY4dO4aRI0fC0dERQUFBWLp0aduvjiTnILPDi+MbBrf7bO9ZXLxaKXFFRERkC9ocYCoqKhAZGYlPP/30pm3GjRuHgoIC4/L111+b7J82bRqysrKQmpqK5ORk7NmzB0899ZRxv06nQ0xMDEJCQpCeno5ly5bh1VdfxerVq9taLnUC94b74c4enqitN2BZSo7U5RARkQ2wb+sB48ePx/jx43+3jUKhgFqtbnbfyZMnsXXrVhw6dAhDhw4FAHz88ce477778O677yIgIABfffUVamtr8c9//hNyuRz9+vVDRkYG3n//fZOgQ9ZBEBoGt5v4yV58n5GPx4eHYmCQu9RlERGRFbPIMzC7du2Cr68vwsLC8Mwzz6CkpMS4Ly0tDe7u7sbwAgDR0dGws7PDgQMHjG1GjRoFuVxubBMbG4ucnBxcvXq12c+sqamBTqczWajz6N9NhcmDAgEAbySfgCiKEldERETWzOwBZty4cfjXv/6F7du345133sHu3bsxfvx46PV6AIBGo4Gvr6/JMfb29vD09IRGozG28fPzM2nTtN7U5npJSUlQqVTGJSgoyNyXRrdoUWwYHB3s8Mv5q9hyvPm/RyIiotYwe4CZOnUq7r//fkRERGDSpElITk7GoUOHsGvXLnN/lInExERotVrjcuHCBYt+HrWdWuWIp0f1BAC8vSUbNfV6iSsiIiJrZfHXqHv06AFvb2+cPn0aAKBWq1FUZDq0fH19Pa5cuWJ8bkatVqOwsNCkTdP6zZ6tUSgUUCqVJgt1Pk/f3QO+bgrkXanEv/adl7ocIiKyUhYPMBcvXkRJSQn8/f0BAFFRUSgtLUV6erqxzY4dO2AwGDBs2DBjmz179qCu7reBz1JTUxEWFgYPDw9Ll0wW5Cy3x19iwwAAH+04hSsVtRJXRERE1qjNAaa8vBwZGRnIyMgAAJw9exYZGRnIy8tDeXk5Fi1ahP379+PcuXPYvn07HnjgAfTq1QuxsbEAgL59+2LcuHF48skncfDgQfz888+YN28epk6dioCAAADAo48+CrlcjtmzZyMrKwvffvstPvzwQyxcuNB8V06SmTI4EH39lSirrsdH209JXQ4REVkjsY127twpArhhmTVrllhZWSnGxMSIPj4+ooODgxgSEiI++eSTokajMTlHSUmJ+Mgjj4iurq6iUqkUH3/8cbGsrMykzdGjR8URI0aICoVC7Natm/j222+3qU6tVisCELVabVsvkTrA3lPFYkhCstgzcbN4uqis5QOIiKhLaO3vb0EUbfN9Vp1OB5VKBa1Wy+dhOqk5XxzCtpNFiO7rh89mDW35ACIisnmt/f3NuZBIMi+O7wuZnYBtJwux7/RlqcshIiIrwgBDkunl64rpw4IBAG9sPgm9wSZvBhIRkQUwwJCknou+DW6O9jhRoMP6wxelLoeIiKwEAwxJytNFjj/f0wsAsCwlB5W19RJXRERE1oABhiQ3667uCPJ0QlFZDVbvyZW6HCIisgIMMCQ5hb0MieP7AgD+tjsXGm21xBUREVFnxwBDncL4/moMDfFAVZ0e7/6UI3U5RETUyTHAUKcgCAL+GtdwF+a/hy/i+CWtxBUREVFnxgBDncagYA/cHxkAUQTe3HwSNjrGIhERmQEDDHUqL4wLg9zeDmm5Jdh2sqjlA4iIqEtigKFOJdDDGXNGhAIAkn48iTq9QeKKiIioM2KAoU7nmdE94e0qR+7lCr5WTUREzWKAoU7HzdEBi2LDADQMbvefdI7QS0REphhgqFP649AgzG7sSkr47zGkZGkkroiIiDoTBhjqlARBwEtxffGHIYHQG0T8ee0R/MwZq4mIqBEDDHVagiAgaXIExvVTo1ZvwJP/+gVH8q5KXRYREXUCDDDUqdnL7PDhIwMxsrc3Kmv1eOzzQ8jW6KQui4iIJMYAQ52ewl6GVdOHYFCwO7RVdZjxj4M4X1IhdVlERCQhBhiyCi4Ke6x57A70UbuhuKwG0/9xAIU6TvpIRNRVMcCQ1VA5O+Bfs+9AiJczLlypwvTPDuBqRa3UZRERkQQYYMiq+Lo54svZw6BWOuJUUTke+/wgymvqpS6LiIg6GAMMWZ0gT2d8OecOeDg74OhFLZ784hdU1+mlLouIiDoQAwxZpV6+bvjiiTvgqrBHWm4J5q09wnmTiIi6EAYYsloDAt3x95lDIbe3w7aThXjhP8dgMIhSl0VERB2AAYasWlRPL6x4dDBkdgI2HLmE1zZlQRQZYoiIbB0DDFm96HA/vP/HSAgC8EXaeSxP/VXqkoiIyMIYYMgmPDCwG5Y80B8A8NGO0/jsf7kSV0RERJbEAEM2Y8adIVgUGwYAeGPzSaw7dEHiioiIyFIYYMim/Gl0Tzw1qgcA4MX1x/BjZoHEFRERkSUwwJBNEQQBieP7YOrtQTCIwHPfHMGeX4ulLouIiMyMAYZsjiAIePPBCMRF+KNOL+Lpf6cj/fwVqcsiIiIzYoAhmySzE7D84YEYdZsPqur0ePzzQzhZoJO6LCIiMhMGGLJZcns7rJo+GENDPKCrrseMfxzE2csVUpdFRERmwABDNs1Zbo9/PHY7wv2VuFxeg+mfHUCBtkrqsoiI6BYxwJDNUzk54Isn7kCotwsulVZh+mcHUFJeI3VZRER0CxhgqEvwcVPgyznD4K9yxJniCjz2+SGUVddJXRYREbUTAwx1Gd3cnfDv2cPg6SJH5iUtZn/xC6rr9FKXRURE7cAAQ11KL19X/OuJO+CmsMfBs1fwp68Oo05vkLosIiJqIwYY6nL6d1PhH4/dDoW9HXZkF+Ev3x2FwcAZrImIrAkDDHVJd4R6YtX0IbC3E/B9Rj4W/3AcosgQQ0RkLRhgqMsa08cXyx8eCEEAvtyfh3d/ypG6JCIiaqU2B5g9e/Zg4sSJCAgIgCAI2Lhxo8l+URSxePFi+Pv7w8nJCdHR0Th16pRJmytXrmDatGlQKpVwd3fH7NmzUV5ebtLm2LFjGDlyJBwdHREUFISlS5e2/eqIWjAxMgBvTooAAHy68wz+tvuMxBUREVFrtDnAVFRUIDIyEp9++mmz+5cuXYqPPvoIq1atwoEDB+Di4oLY2FhUV1cb20ybNg1ZWVlITU1FcnIy9uzZg6eeesq4X6fTISYmBiEhIUhPT8eyZcvw6quvYvXq1e24RKLf9+iwYCSM6wMASNqSja8P5klcERERtUi8BQDEDRs2GNcNBoOoVqvFZcuWGbeVlpaKCoVC/Prrr0VRFMUTJ06IAMRDhw4Z22zZskUUBEG8dOmSKIqiuGLFCtHDw0OsqakxtklISBDDwsJaXZtWqxUBiFqttr2XR11M0o8nxZCEZLH7i8ni1wfOiwaDQeqSiIi6nNb+/jbrMzBnz56FRqNBdHS0cZtKpcKwYcOQlpYGAEhLS4O7uzuGDh1qbBMdHQ07OzscOHDA2GbUqFGQy+XGNrGxscjJycHVq1eb/eyamhrodDqThagtEsaF4dFhwRBF4MX1mZj/bQYHuyMi6qTMGmA0Gg0AwM/Pz2S7n5+fcZ9Go4Gvr6/Jfnt7e3h6epq0ae4c137G9ZKSkqBSqYxLUFDQrV8QdSmCIOCNB/pjUWwYZI1vJ8V9tBdH8poPzUREJB2beQspMTERWq3WuFy4cEHqksgK2dkJiB/TC+uejkI3dyfkXanEH1alYeWuMxwrhoioEzFrgFGr1QCAwsJCk+2FhYXGfWq1GkVFRSb76+vrceXKFZM2zZ3j2s+4nkKhgFKpNFmI2mtIiAd+fG4k4gb4o94g4p2t2Zj5z4Mo0lW3fDAREVmcWQNMaGgo1Go1tm/fbtym0+lw4MABREVFAQCioqJQWlqK9PR0Y5sdO3bAYDBg2LBhxjZ79uxBXd1vzx+kpqYiLCwMHh4e5iyZ6KZUTg745JFBeGdKBJwcZNh7+jLGffg/7MwuavlgIiKyqDYHmPLycmRkZCAjIwNAw4O7GRkZyMvLgyAImD9/Pt544w388MMPyMzMxMyZMxEQEIBJkyYBAPr27Ytx48bhySefxMGDB/Hzzz9j3rx5mDp1KgICAgAAjz76KORyOWbPno2srCx8++23+PDDD7Fw4UKzXThRawiCgIdvD8amP49AX38lrlTU4vE1h/B68gnU1HMiSCIiqQii2Lbx03ft2oUxY8bcsH3WrFlYs2YNRFHEK6+8gtWrV6O0tBQjRozAihUrcNtttxnbXrlyBfPmzcOmTZtgZ2eHKVOm4KOPPoKrq6uxzbFjxxAfH49Dhw7B29sbf/7zn5GQkNDqOnU6HVQqFbRaLbuTyCyq6/R4Z2s2Pv/5HACgX4ASHz0yCD19XH//QCIiarXW/v5uc4CxFgwwZCnbTxbiL98dxdXKOjg5yPDaA/3whyGBEARB6tKIiKxea39/28xbSEQdZWxfP2ydPwpRPbxQVafHC/85hue+yYCOY8YQEXUYBhiidvBTOuLLOcOMY8b8cDQfcR/9j2PGEBF1EAYYonaSNY4Z893cKAR6OOHClSr8YVUaVuw6zTFjiIgsjAGG6BYNDm4YM2ZC45gxS7fmYMY/D3DMGCIiC2KAITIDpaMDPn5kEJZOGQAnBxl+Pl2CcR/+DzuyC1s+mIiI2owBhshMBEHAH28PMhkz5ok1v+C1TVkcM4aIyMwYYIjMrJevKzb86S48Prw7AODzn8/hwU/34UxxubSFERHZEAYYIgtwdJDhlYn98I9ZQ+Hh7IATBTpM+Ggv1v1yATY69BIRUYdigCGyoObGjHmWY8YQEd0yBhgiC7t+zJhNR/Nx34f/w2GOGUNE1G4MMEQd4PoxYy5ebRgz5tOdp6HnmDFERG3GAEPUga4dM0ZvELEsJQcz/nEAhRwzhoioTRhgiDqYccyYhxrGjNl3pgTjPtiD7Sc5ZgwRUWsxwBBJQBAE/HFoEJKfHYFwfyWuVtZh9he/4C/fHcWl0iqpyyMi6vQYYIgk1NPHFRvi78ITw0MBAP9Jv4gx7+7CG8kncKWiVuLqiIg6L0G00UEpdDodVCoVtFotlEql1OUQtehw3lUs3ZqN/blXAACuCns8NaoHZo8IhYvCXuLqiIg6Rmt/fzPAEHUioihiz6nLWLo1G1n5OgCAt6sc88b0wqPDQiC3501TIrJtDDAMMGTFDAYRmzML8N5POThXUgkACPRwwvMxt+H+yG6Q2QkSV0hEZBkMMAwwZAPq9Aas++UCPtx2CkVlNQCAPmo3LIoNwz19fCEIDDJEZFsYYBhgyIZU1erx+b6zWLnrDMqq6wEAQ0M8kDC+D27v7ilxdURE5sMAwwBDNqi0shardufi85/PoqbeAAC4p48vFsWGoa8//z0nIuvHAMMAQzZMo63GRztO4dtDF6A3iBAE4IHIACy8NwzBXs5Sl0dE1G4MMAww1AXkFpfj/dRfkXysAADgIBPwyB3B+PM9veHjppC4OiKitmOAYYChLiTzohZLU7Lxv1OXAQDOchlmjwjFk6N6QOnoIHF1REStxwDDAENd0L7Tl/FOSg6OXigFALg7OyB+dC/MiAqBo4NM2uKIiFqBAYYBhrooURSRklWIZSnZOFNcAQDwVzlifnRvTBkcCHsZB8Mjos6LAYYBhrq4er0B6w9fwvJtv6JAWw0A6OHjgkUxYRjXX80xZIioU2KAYYAhAgBU1+nx5f7z+HTnaVytrAMARAaq8MK4Phjey1vi6oiITDHAMMAQmdBV1+GzPbn4bO9ZVNbqAQAje3tjUWwYBgS6S1scEVEjBhgGGKJmFZfV4JMdp7D2YB7q9A3/+Y+6zQdTBndDTLgaTnI+7EtE0mGAYYAh+l15JZVYvu1XbMy4hKZvAVeFPeIi/DF5cDfc3t0Tdpw0kog6GAMMAwxRq5y7XIH1Ry5h/eGLuHi1yrg9yNMJDw4KxORB3dDd20XCComoK2GAYYAhahODQcShc1ew/vAlbM4sQHlNvXHf0BAPTB4ciLgB/lA5cWA8IrIcBhgGGKJ2q6rV46cTGvz38CXsPVUMQ+O3hNzeDveG++GhwYEY2dubY8oQkdkxwDDAEJlFoa4aG49cwn8PX8SvheXG7d6uCkwaGIDJgwMRHsD/xojIPBhgGGCIzEoURWTl6/DfwxfxQ0Y+Sipqjfv6+isxZXA33D8wAL5ujhJWSUTWjgGGAYbIYur0BuzOKcb6Ixex7UQRavUGAIDMTsCo3t6YPDgQ94b7cf4lImozBhgGGKIOUVpZi+RjBfjv4Ys4kldq3O7maI8JA/wxZXAghoR4cOoCImoVBhgGGKIOl1tcjvWHL2HDkUu4VPrbK9khXs54cFA3TBkciCBPZwkrJKLOjgGGAYZIMgaDiP1nS7D+8CVsySxARePUBQBwR3dPTBnSDfdF+MPNka9kE5Gp1v7+Nvs7kK+++ioEQTBZ+vTpY9xfXV2N+Ph4eHl5wdXVFVOmTEFhYaHJOfLy8hAXFwdnZ2f4+vpi0aJFqK+vv/6jiKiTsrMTcFdPb7z7h0gceikayx+OxMje3hAE4OC5K0j4byaGvrENc744hM/+l4vjl7TQG2zy/6WIyELsLXHSfv36Ydu2bb99iP1vH7NgwQJs3rwZ3333HVQqFebNm4fJkyfj559/BgDo9XrExcVBrVZj3759KCgowMyZM+Hg4IC33nrLEuUSkQU5y+3x4KBAPDgoEAXaKmw8ko//Hr6I00Xl2HayCNtOFgEAlI72uCPUC3f28MSdPbzQ118JGacyIKKbMHsX0quvvoqNGzciIyPjhn1arRY+Pj5Yu3YtHnroIQBAdnY2+vbti7S0NNx5553YsmULJkyYgPz8fPj5+QEAVq1ahYSEBBQXF0Mul7eqDnYhEXVeTa9k/3z6MvbnluDQuasmI/8CDDREXVVrf39b5A7MqVOnEBAQAEdHR0RFRSEpKQnBwcFIT09HXV0doqOjjW379OmD4OBgY4BJS0tDRESEMbwAQGxsLJ555hlkZWVh0KBBzX5mTU0NampqjOs6nc4Sl0ZEZiAIAvp3U6F/NxWevrsn6vUGZOXrsD+3xBhodNX12HayENtONnQxM9AQ0bXMHmCGDRuGNWvWICwsDAUFBXjttdcwcuRIHD9+HBqNBnK5HO7u7ibH+Pn5QaPRAAA0Go1JeGna37TvZpKSkvDaa6+Z92KIqEPYy+wQGeSOyCB3BhoiahWzB5jx48cb/zxgwAAMGzYMISEhWLduHZycnMz9cUaJiYlYuHChcV2n0yEoKMhin0dElsNAQ0QtsUgX0rXc3d1x22234fTp07j33ntRW1uL0tJSk7swhYWFUKvVAAC1Wo2DBw+anKPpLaWmNs1RKBRQKBTmvwAikhwDDRFdz+IBpry8HGfOnMGMGTMwZMgQODg4YPv27ZgyZQoAICcnB3l5eYiKigIAREVF4c0330RRURF8fX0BAKmpqVAqlQgPD7d0uURkBW410AwO8UAftRuc5Rb/CiQiCzH7W0h/+ctfMHHiRISEhCA/Px+vvPIKMjIycOLECfj4+OCZZ57Bjz/+iDVr1kCpVOLPf/4zAGDfvn0AGl6jHjhwIAICArB06VJoNBrMmDEDc+bMadNr1HwLiajrqtcbcPzaQHP2islgegAgCEB3Lxf09XdDX7USff2V6BugRIDKkdMeEElIsreQLl68iEceeQQlJSXw8fHBiBEjsH//fvj4+AAAli9fDjs7O0yZMgU1NTWIjY3FihUrjMfLZDIkJyfjmWeeQVRUFFxcXDBr1iwsWbLE3KUSkY2yl9lhYJA7Bga5Y27jHZqmQHMgtwSZl3S4XF6Ds5crcPZyBX7M/O0FAaWjPfr4KxHur2wIN/5K3ObnxokpiToZTiVARF1ScVkNsjU6nCzQ4WRBGU4W6HC6qBz1zYwIbCcAPXxcG+7SNIaacH8lfN0UvFtDZGacC4kBhojaqKZej9NF5cZA07Rcraxrtr2nixx91G6NwaYh3PT2dYPc3uyztBB1GQwwDDBEZAaiKKKorAYnCkzv1uQWl6O56Zvs7QT08jW9W9PXXwlvV74lSdQaDDAMMERkQdV1evxaWGYSak4W6KCrbn7iWR83BW7zc0Wotwt6eLsi1McFPbxd0M3dCfYy3rEhasIAwwBDRB1MFEXka6txMr/xbo2mIdycK6nAzb5pHWQCgj2dEertih4+Lgj1dmkMOS7w4TM21AUxwDDAEFEnUVlbj2xNGc4UlRvffGpaauoNNz3OVWFvDDSh3i4mAcfN0aEDr4Co4zDAMMAQUSdnMIgo0FXjbHEFzl4ux5ni34LNxauVzT5j08TbVYEe14WaHj4uCPJ0hsKer3yT9WKAYYAhIitWU6/HhSuVyL0m1ORerkBucQUul9fc9Dg7AQj0cDYJNcGezujm7oQAdye4KDj6MHVuDDAMMERko3TVdTjXFGquDTjF5TeMOHw9d2cHBKgawkw3d0cENAabhnUn+LgpOGcUSUqykXiJiMiylI4OGBDojgGB7ibbRVFEcXnNDaHm4tUqXCqtQll1PUor61BaWYcTBbpmz21vJ0CtcjQGmm7GgOPIuzjUqfDfQiIiGyEIAnzdHOHr5og7e3jdsF9XXYeC0mrklzYEmnzjUo1LpVXQ6KpRbxBx8WoVLl6tuunnqJwcbnIHp2Hd182Rd3HI4hhgiIi6CKWjA5RqB4Sp3ZrdX683oKis5pqAU20MOU2BR1ddD21VHbRVdTjZwl0ctdIRXq5yeLsq4OWqgI+rHF6uisb1hu1KR3u+Kk7twgBDREQAGibBbLqbMvQmbcqq61CgrTYGmktX23cXp4lcZgcvV/lvQcdFAW83Obybfl6zzdNZzkH/yIgBhoiIWs3N0QFujg64za/5uzh6g4iismpculqForIaXC6vweXyWpSUN/y5pLzW+LOsph61egMKtNUo0Fa3+NmCAHg4y+HlIje5i+N9zV0eb1c5PF3kUDk11MmuLNvFAENERGYjsxPgr3KCv8qpxbbVdXqUVNTiclkNSipqcLmsFpcbf5ZUXBt4anGlogYGEbhSUYsrFbU4VVTeqnrcFPZQOjnAzdEeKicHKJ0cGn46Nv50sjeuG/c1bnNykLF7qxNjgCEiIkk4OsiMbzq1RG8QUVpZa7ybU3zd3ZzL5TW43BiGrlbWorLxdfKymnqU1TQ/P1VLHGSCMdgonRygdLT/3QDk5mgPV4U9nBX2cJXbw1khgwO7vCyGAYaIiDo9mZ0Ar8ZuIqD57qtr1ekNKGt84FjX+NCxrrrxZ1X9NX9u2lcP3TXr9QYRdXoRJRW1KKmobXfdcpkdXBQyOMubwo0MLnJ7uBh/XrvNHi5yWUMAuvYYuaxhn8Iezg4y2LFbDAADDBER2SAHmR08XRqeh2krURRRVac3DTuVpgHINBA1/CyrrkdlbT0qavWobZzjqlZvQG2lAVcr68x2bU4OTYGmIfg4y2Vwksvg5NDw01kug6NDw7rxz/Lr1h0aApKT3M5kXWFvZzUBiQGGiIjoGoIgwFluD2e5PfxV7TtHnd6Ayho9KmrrUVHTEGoqahr+XFmrR3lNQ9gpr9Gj8pr9Ddsa2jS0/+0cTXNjVdXpUVWnx+XWPQbUZo4Odg3hxkFm+me5DE6N602h58FB3RAR2M5/SLeIAYaIiMjMHGR2UDnbQeVsnlnDRVFETb3hhlBTUdsQgJpCTVVt43LtenM/6/SortWjsnHbtbOiV9cZUF3Xum6zQcHuDDBERETUPEEQ4OjQ0P3j5Wr+8xsMIqrr9ahsDEDVjSGnsva3sNO0Xn1NELrZ6/QdgQGGiIioi7Oz+63bzFrw/S4iIiKyOgwwREREZHUYYIiIiMjqMMAQERGR1WGAISIiIqvDAENERERWhwGGiIiIrA4DDBEREVkdBhgiIiKyOgwwREREZHUYYIiIiMjqMMAQERGR1WGAISIiIqtjPdNOtpEoigAAnU4ncSVERETUWk2/t5t+j9+MzQaYsrIyAEBQUJDElRAREVFblZWVQaVS3XS/ILYUcayUwWBAfn4+3NzcIAiC2c6r0+kQFBSECxcuQKlUmu28nVlXu2Zer23j9do2Xq/1E0URZWVlCAgIgJ3dzZ90sdk7MHZ2dggMDLTY+ZVKpc38y9JaXe2aeb22jddr23i91u337rw04UO8REREZHUYYIiIiMjqMMC0kUKhwCuvvAKFQiF1KR2mq10zr9e28XptG6+367DZh3iJiIjIdvEODBEREVkdBhgiIiKyOgwwREREZHUYYIiIiMjqMMAQERGR1WGAaaNPP/0U3bt3h6OjI4YNG4aDBw9KXZJFJCUl4fbbb4ebmxt8fX0xadIk5OTkSF1Wh3n77bchCALmz58vdSkWc+nSJUyfPh1eXl5wcnJCREQEfvnlF6nLsgi9Xo+XX34ZoaGhcHJyQs+ePfH666+3OFmcNdmzZw8mTpyIgIAACIKAjRs3muwXRRGLFy+Gv78/nJycEB0djVOnTklTrBn83vXW1dUhISEBERERcHFxQUBAAGbOnIn8/HzpCr5FLf39Xmvu3LkQBAEffPBBh9UnBQaYNvj222+xcOFCvPLKKzh8+DAiIyMRGxuLoqIiqUszu927dyM+Ph779+9Hamoq6urqEBMTg4qKCqlLs7hDhw7hb3/7GwYMGCB1KRZz9epVDB8+HA4ODtiyZQtOnDiB9957Dx4eHlKXZhHvvPMOVq5ciU8++QQnT57EO++8g6VLl+Ljjz+WujSzqaioQGRkJD799NNm9y9duhQfffQRVq1ahQMHDsDFxQWxsbGorq7u4ErN4/eut7KyEocPH8bLL7+Mw4cPY/369cjJycH9998vQaXm0dLfb5MNGzZg//79CAgI6KDKJCRSq91xxx1ifHy8cV2v14sBAQFiUlKShFV1jKKiIhGAuHv3bqlLsaiysjKxd+/eYmpqqnj33XeLzz33nNQlWURCQoI4YsQIqcvoMHFxceITTzxhsm3y5MnitGnTJKrIsgCIGzZsMK4bDAZRrVaLy5YtM24rLS0VFQqF+PXXX0tQoXldf73NOXjwoAhAPH/+fMcUZUE3u96LFy+K3bp1E48fPy6GhISIy5cv7/DaOhLvwLRSbW0t0tPTER0dbdxmZ2eH6OhopKWlSVhZx9BqtQAAT09PiSuxrPj4eMTFxZn8PduiH374AUOHDsUf/vAH+Pr6YtCgQfj73/8udVkWc9ddd2H79u349ddfAQBHjx7F3r17MX78eIkr6xhnz56FRqMx+fdapVJh2LBhXeL7C2j4DhMEAe7u7lKXYhEGgwEzZszAokWL0K9fP6nL6RA2Oxu1uV2+fBl6vR5+fn4m2/38/JCdnS1RVR3DYDBg/vz5GD58OPr37y91ORbzzTff4PDhwzh06JDUpVhcbm4uVq5ciYULF+L//u//cOjQITz77LOQy+WYNWuW1OWZ3YsvvgidToc+ffpAJpNBr9fjzTffxLRp06QurUNoNBoAaPb7q2mfLauurkZCQgIeeeQRm5qx+VrvvPMO7O3t8eyzz0pdSodhgKEWxcfH4/jx49i7d6/UpVjMhQsX8NxzzyE1NRWOjo5Sl2NxBoMBQ4cOxVtvvQUAGDRoEI4fP45Vq1bZZIBZt24dvvrqK6xduxb9+vVDRkYG5s+fj4CAAJu8XvpNXV0d/vjHP0IURaxcuVLqciwiPT0dH374IQ4fPgxBEKQup8OwC6mVvL29IZPJUFhYaLK9sLAQarVaoqosb968eUhOTsbOnTsRGBgodTkWk56ejqKiIgwePBj29vawt7fH7t278dFHH8He3h56vV7qEs3K398f4eHhJtv69u2LvLw8iSqyrEWLFuHFF1/E1KlTERERgRkzZmDBggVISkqSurQO0fQd1dW+v5rCy/nz55Gammqzd1/+97//oaioCMHBwcbvr/Pnz+P5559H9+7dpS7PYhhgWkkul2PIkCHYvn27cZvBYMD27dsRFRUlYWWWIYoi5s2bhw0bNmDHjh0IDQ2VuiSLGjt2LDIzM5GRkWFchg4dimnTpiEjIwMymUzqEs1q+PDhN7wW/+uvvyIkJESiiiyrsrISdnamX3cymQwGg0GiijpWaGgo1Gq1yfeXTqfDgQMHbPL7C/gtvJw6dQrbtm2Dl5eX1CVZzIwZM3Ds2DGT76+AgAAsWrQIKSkpUpdnMexCaoOFCxdi1qxZGDp0KO644w588MEHqKiowOOPPy51aWYXHx+PtWvX4vvvv4ebm5uxn1ylUsHJyUni6szPzc3thud7XFxc4OXlZZPP/SxYsAB33XUX3nrrLfzxj3/EwYMHsXr1aqxevVrq0ixi4sSJePPNNxEcHIx+/frhyJEjeP/99/HEE09IXZrZlJeX4/Tp08b1s2fPIiMjA56enggODsb8+fPxxhtvoHfv3ggNDcXLL7+MgIAATJo0Sbqib8HvXa+/vz8eeughHD58GMnJydDr9cbvME9PT8jlcqnKbreW/n6vD2gODg5Qq9UICwvr6FI7jtSvQVmbjz/+WAwODhblcrl4xx13iPv375e6JIsA0Ozy+eefS11ah7Hl16hFURQ3bdok9u/fX1QoFGKfPn3E1atXS12Sxeh0OvG5554Tg4ODRUdHR7FHjx7iX//6V7Gmpkbq0sxm586dzf43O2vWLFEUG16lfvnll0U/Pz9RoVCIY8eOFXNycqQt+hb83vWePXv2pt9hO3fulLr0dmnp7/d6XeE1akEUbWgoSiIiIuoS+AwMERERWR0GGCIiIrI6DDBERERkdRhgiIiIyOowwBAREZHVYYAhIiIiq8MAQ0RERFaHAYaIiIisDgMMERERWR0GGCIiIrI6DDBERERkdf4fqZLBJX+94QoAAAAASUVORK5CYII=", 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yPAYYM2M3EhERkeUxwFiAcW4kdiMRERFZBAOMBcT0YzcSERGRJTHAWAC7kYiIiCyLAcZC2I1ERERkOQwwFnJtN1Iuu5GIiIjMigHGQtyd5biLcyMRERFZBAOMBU1o7EZK5nMwREREZsUAY0HsRiIiIrIMBhgLYjcSERGRZTDAWFhchBoAsDlTI3ElREREtoMBxsJiwtWwtxNwskDHbiQiIiIzYYCxMA8XdiMRERGZGwNMB2A3EhERkXkxwHSAmHA1ZI3dSGcvV0hdDhERkdVjgOkAHi5y3NXTCwC7kYiIiMyBAaaDTBjAQe2IiIjMhQGmg7AbiYiIyHwYYDoIu5GIiIjMhwGmA8U1zo20md1IREREt4QBpgPF9mvoRjrBbiQiIqJbwgDTgdiNREREZB4MMB2M3UhERES3rk0BZuXKlRgwYACUSiWUSiWioqKwZcsW4/7q6mrEx8fDy8sLrq6umDJlCgoLC03OkZeXh7i4ODg7O8PX1xeLFi1CfX29SZtdu3Zh8ODBUCgU6NWrF9asWdP+K+xkYq7pRjrHbiQiIqJ2aVOACQwMxNtvv4309HT88ssvuOeee/DAAw8gKysLALBgwQJs2rQJ3333HXbv3o38/HxMnjzZeLxer0dcXBxqa2uxb98+fPHFF1izZg0WL15sbHP27FnExcVhzJgxyMjIwPz58zFnzhykpKSY6ZKl5XlNN9JmdiMRERG1iyCKongrJ/D09MSyZcvw0EMPwcfHB2vXrsVDDz0EAMjOzkbfvn2RlpaGO++8E1u2bMGECROQn58PPz8/AMCqVauQkJCA4uJiyOVyJCQkYPPmzTh+/LjxM6ZOnYrS0lJs3br1pnXU1NSgpqbGuK7T6RAUFAStVgulUnkrl2h23xzMw4vrMxHur8SPz42UuhwiIqJOQ6fTQaVStfj7u93PwOj1enzzzTeoqKhAVFQU0tPTUVdXh+joaGObPn36IDg4GGlpaQCAtLQ0REREGMMLAMTGxkKn0xnv4qSlpZmco6lN0zluJikpCSqVyrgEBQW199Isjt1IREREt6bNASYzMxOurq5QKBSYO3cuNmzYgPDwcGg0Gsjlcri7u5u09/Pzg0bTMAuzRqMxCS9N+5v2/V4bnU6Hqqqqm9aVmJgIrVZrXC5cuNDWS+sw7EYiIiK6NW0OMGFhYcjIyMCBAwfwzDPPYNasWThx4oQlamsThUJhfLi4aenM7mt8G4mvUxMREbVdmwOMXC5Hr169MGTIECQlJSEyMhIffvgh1Go1amtrUVpaatK+sLAQarUaAKBWq294K6lpvaU2SqUSTk5ObS2302oa1C4rn91IREREbXXL48AYDAbU1NRgyJAhcHBwwPbt2437cnJykJeXh6ioKABAVFQUMjMzUVRUZGyTmpoKpVKJ8PBwY5trz9HUpukctoLdSERERO3XpgCTmJiIPXv24Ny5c8jMzERiYiJ27dqFadOmQaVSYfbs2Vi4cCF27tyJ9PR0PP7444iKisKdd94JAIiJiUF4eDhmzJiBo0ePIiUlBS+99BLi4+OhUCgAAHPnzkVubi5eeOEFZGdnY8WKFVi3bh0WLFhg/quXGLuRiIiI2qdNAaaoqAgzZ85EWFgYxo4di0OHDiElJQX33nsvAGD58uWYMGECpkyZglGjRkGtVmP9+vXG42UyGZKTkyGTyRAVFYXp06dj5syZWLJkibFNaGgoNm/ejNTUVERGRuK9997DZ599htjYWDNdcufBbiQiIqL2ueVxYDqr1r5HLrXpnx3A3tOXsSg2DPFjekldDhERkaQsPg4MmUfcAHYjERERtRUDjMSu7UY6X8JuJCIiotZggJGYp4scUT34NhIREVFbMMB0AnwbiYiIqG0YYDqB2H5+kNkJOH6J3UhEREStwQDTCXi5KtiNRERE1AYMMJ0Eu5GIiIhajwGmk2A3EhERUesxwHQSXq4K3NnDEwC7kYiIiFrCANOJxEUEAGA3EhERUUsYYDqRa7uR8koqpS6HiIio02KA6UTYjURERNQ6DDCdDN9GIiIiahkDTCczrp8adgKQeUnLbiQiIqKbYIDpZLxcFYjqyUHtiIiIfg8DTCfEbiQiIqLfxwDTCcWyG4mIiOh3McB0Qt6uCtzJuZGIiIhuigGmk4obwG4kIiKim2GA6aTYjURERHRzDDCd1LXdSD8e510YIiKiazHAdGJ8G4mIiKh5DDCd2Lj+Dd1Ixy6yG4mIiOhaDDCdGLuRiIiImscA08mxG4mIiOhGDDCd3LXdSBeusBuJiIgIYIDp9DioHRER0Y0YYKwAu5GIiIhMMcBYAXYjERERmWKAsQLergoMC23oRko+xrswREREDDBWYmJkAABg45FLEEVR4mqIiIikxQBjJeIi/CGX2SGnsAwnCnRSl0NERCQpBhgroXJ2wNi+vgCADYcvSVwNERGRtBhgrMiDg7oBAL4/mo96vUHiaoiIiKTDAGNFRof5wsPZAcVlNfj5TInU5RAREUmGAcaKyO3tMGFAw8O8Gw5flLgaIiIi6TDAWJkHBzd0I6VkFaKipl7iaoiIiKTBAGNlBgW5I9TbBVV1emw9rpG6HCIiIkkwwFgZQRAwaWDDXZgNR/g2EhERdU0MMFao6W2kn89chkZbLXE1REREHa9NASYpKQm333473Nzc4Ovri0mTJiEnJ8ekzejRoyEIgskyd+5ckzZ5eXmIi4uDs7MzfH19sWjRItTXmz7PsWvXLgwePBgKhQK9evXCmjVr2neFNijYyxlDQzwgisD3GbwLQ0REXU+bAszu3bsRHx+P/fv3IzU1FXV1dYiJiUFFRYVJuyeffBIFBQXGZenSpcZ9er0ecXFxqK2txb59+/DFF19gzZo1WLx4sbHN2bNnERcXhzFjxiAjIwPz58/HnDlzkJKScouXazuaHuZlNxIREXVFgngLE+sUFxfD19cXu3fvxqhRowA03IEZOHAgPvjgg2aP2bJlCyZMmID8/Hz4+fkBAFatWoWEhAQUFxdDLpcjISEBmzdvxvHjx43HTZ06FaWlpdi6dWuratPpdFCpVNBqtVAqle29xE5LW1mH29/chlq9AT8+OxLhAbZ3jURE1PW09vf3LT0Do9VqAQCenp4m27/66it4e3ujf//+SExMRGVlpXFfWloaIiIijOEFAGJjY6HT6ZCVlWVsEx0dbXLO2NhYpKWl3bSWmpoa6HQ6k8WWqZwdcE+fxqkFjnBMGCIi6lraHWAMBgPmz5+P4cOHo3///sbtjz76KL788kvs3LkTiYmJ+Pe//43p06cb92s0GpPwAsC4rtFofreNTqdDVVVVs/UkJSVBpVIZl6CgoPZemtVo6kb6PiMfegNnqCYioq7Dvr0HxsfH4/jx49i7d6/J9qeeesr454iICPj7+2Ps2LE4c+YMevbs2f5KW5CYmIiFCxca13U6nc2HmDFhvnB3dkBRWQ1+Pn0Zo27zkbokIiKiDtGuOzDz5s1DcnIydu7cicDAwN9tO2zYMADA6dOnAQBqtRqFhYUmbZrW1Wr177ZRKpVwcnJq9nMUCgWUSqXJYusaphbwB8CHeYmIqGtpU4ARRRHz5s3Dhg0bsGPHDoSGhrZ4TEZGBgDA37/hF21UVBQyMzNRVFRkbJOamgqlUonw8HBjm+3bt5ucJzU1FVFRUW0pt0t4cFBDgNx6XMOpBYiIqMtoU4CJj4/Hl19+ibVr18LNzQ0ajQYajcb4XMqZM2fw+uuvIz09HefOncMPP/yAmTNnYtSoURgwYAAAICYmBuHh4ZgxYwaOHj2KlJQUvPTSS4iPj4dCoQAAzJ07F7m5uXjhhReQnZ2NFStWYN26dViwYIGZL9/6DQ52R3cvZ1TV6ZGSxakFiIioa2hTgFm5ciW0Wi1Gjx4Nf39/4/Ltt98CAORyObZt24aYmBj06dMHzz//PKZMmYJNmzYZzyGTyZCcnAyZTIaoqChMnz4dM2fOxJIlS4xtQkNDsXnzZqSmpiIyMhLvvfcePvvsM8TGxprpsm2HIAiYNIhjwhARUddyS+PAdGa2Pg7Mtc6XVODuZbtgJwBpiWPhp3SUuiQiIqJ26ZBxYKhzCPFywZAQDxg4tQAREXURDDA2ommCx/WHGWCIiMj2McDYiAkD/CGX2SFbU4aTBbY9CjEREREDjI1wd5ZjTJ+Ggez4MC8REdk6Bhgb0jQmzPcZlzi1ABER2TQGGBsypo8PVE4OKNTVYN+Zy1KXQ0REZDEMMDZEYS/7bWoBPsxLREQ2jAHGxkxunKF6a5YGlbWcWoCIiGwTA4yNGRzsgRAvZ1TWcmoBIiKyXQwwNkYQBEwayDFhiIjItjHA2KCmQe1+Pn0ZRbpqiashIiIyPwYYG9Td2wWDg90bpxbIl7ocIiIis2OAsVEPDm4YE2Y9B7UjIiIbxABjoyZE+MNBJuBkgQ7ZGk4tQEREtoUBxkZ5uMgxJswXAMeEISIi28MAY8OaxoTZyKkFiIjIxjDA2LAxfXyNUwuknSmRuhwiIiKzYYCxYQp7GeIapxZYf+SixNUQERGZDwOMjZvcOCbM1uOcWoCIiGwHA4yNGxLigWDPhqkFfsoqlLocIiIis2CAsXGCIGBS410YjglDRES2ggGmC2iaWmDvqWJOLUBERDaBAaYLCPV2waDGqQV+OMqpBYiIyPoxwHQRTQ/zcoZqIiKyBQwwXcSEAQFwkAk4UaBDjqZM6nKIiIhuCQNMF+HhIsfoxqkFOCYMERFZOwaYLqSpG+n7I/mcWoCIiKwaA0wXck9fXygd7aHRVWN/LqcWICIi68UA04U0TC0QAIAP8xIRkXVjgOlimmao3nq8AFW1eomrISIiah8GmC5maIgHgjydUFGrx08nNFKXQ0RE1C4MMF2MIAh4cCDHhCEiIuvGANMFPTg4EADwv1PFKCrj1AJERGR9GGC6oFBvFwwMapxaIINTCxARkfVhgOmimh7m3cAZqomIyAoxwHRREwYEwN5OQFa+Dr8WcmoBIiKyLgwwXZTntVML8GFeIiKyMgwwXVhTN9L3GZdg4NQCRERkRRhgurB7+vjCzdEeBVpOLUBERNaFAaYLc3SQYcIAfwDAej7MS0REVoQBpot7cFDDmDBbMjm1ABERWY82BZikpCTcfvvtcHNzg6+vLyZNmoScnByTNtXV1YiPj4eXlxdcXV0xZcoUFBYWmrTJy8tDXFwcnJ2d4evri0WLFqG+vt6kza5duzB48GAoFAr06tULa9asad8V0u8aGuKBQA9OLUBERNalTQFm9+7diI+Px/79+5Gamoq6ujrExMSgoqLC2GbBggXYtGkTvvvuO+zevRv5+fmYPHmycb9er0dcXBxqa2uxb98+fPHFF1izZg0WL15sbHP27FnExcVhzJgxyMjIwPz58zFnzhykpKSY4ZLpWnZ2Ah4cxDFhiIjIugiiKLb79ZPi4mL4+vpi9+7dGDVqFLRaLXx8fLB27Vo89NBDAIDs7Gz07dsXaWlpuPPOO7FlyxZMmDAB+fn58PPzAwCsWrUKCQkJKC4uhlwuR0JCAjZv3ozjx48bP2vq1KkoLS3F1q1bW1WbTqeDSqWCVquFUqls7yV2CbnF5bjnvd2Q2QnYnzgWPm4KqUsiIqIuqrW/v2/pGRitVgsA8PT0BACkp6ejrq4O0dHRxjZ9+vRBcHAw0tLSAABpaWmIiIgwhhcAiI2NhU6nQ1ZWlrHNtedoatN0jubU1NRAp9OZLNQ6PXxcERnkDr1BxA9HObUAERF1fu0OMAaDAfPnz8fw4cPRv39/AIBGo4FcLoe7u7tJWz8/P2g0GmOba8NL0/6mfb/XRqfToaqqqtl6kpKSoFKpjEtQUFB7L61LmmzsRroocSVEREQta3eAiY+Px/Hjx/HNN9+Ys552S0xMhFarNS4XLlyQuiSrMjGyYWqB45d0OMWpBYiIqJNrV4CZN28ekpOTsXPnTgQGBhq3q9Vq1NbWorS01KR9YWEh1Gq1sc31byU1rbfURqlUwsnJqdmaFAoFlEqlyUKt1zC1gA8AjglDRESdX5sCjCiKmDdvHjZs2IAdO3YgNDTUZP+QIUPg4OCA7du3G7fl5OQgLy8PUVFRAICoqChkZmaiqKjI2CY1NRVKpRLh4eHGNteeo6lN0znIMprGhPn+CKcWICKizq1NASY+Ph5ffvkl1q5dCzc3N2g0Gmg0GuNzKSqVCrNnz8bChQuxc+dOpKen4/HHH0dUVBTuvPNOAEBMTAzCw8MxY8YMHD16FCkpKXjppZcQHx8PhaLh7Ze5c+ciNzcXL7zwArKzs7FixQqsW7cOCxYsMPPl07XG9m2YWiBfW439Zzm1ABERdV5tCjArV66EVqvF6NGj4e/vb1y+/fZbY5vly5djwoQJmDJlCkaNGgW1Wo3169cb98tkMiQnJ0MmkyEqKgrTp0/HzJkzsWTJEmOb0NBQbN68GampqYiMjMR7772Hzz77DLGxsWa4ZLoZRwcZ4iIaphbYwBmqiYioE7ulcWA6M44D0z4Hckvw8Or9cFXY49Bfo+Ekl0ldEhERdSEdMg4M2Z7bu3uim7sTymvqkXqysOUDiIiIJMAAQyZMphY4zDFhiIioc2KAoRs8OLghwOw5dRnFZTUSV0NERHQjBhi6QU8fV0QGqqA3iNjEqQWIiKgTYoChZnGGaiIi6swYYKhZTVMLZF7S4nQRpxYgIqLOhQGGmuXlqsDdtzVOLcAxYYiIqJNhgKGbanqY9/uMfE4tQEREnQoDDN1UdF8/uCnscam0CgfOXpG6HCIiIiMGGLopRwcZ7mucWuAfe3MlroaIiOg3DDD0u54c1QMyOwHbThZh35nLUpdDREQEgAGGWtDL1xXThgUDAN5IPgk9n4UhIqJOgAGGWvTc2N5wc7THiQId1nN6ASIi6gQYYKhFXq4KzBvTCwCwLCUHlbX1EldERERdHQMMtcqsu7ojyNMJRWU1WL2HD/QSEZG0GGCoVRwdZHhxXF8AwN9256JQVy1xRURE1JUxwFCr3RehxpAQD1TV6fFuSo7U5RARURfGAEOtJggC/hrXcBfmP4cv4vglrcQVERFRV8UAQ20yONgD90cGQBSBNzefhCjytWoiIup4DDDUZi+MC4Pc3g5puSXYfrJI6nKIiKgLYoChNgv0cMbsEaEAgLd+PIk6vUHiioiIqKthgKF2+dPonvBykSP3cgXWHsiTuhwiIupiGGCoXdwcHbDg3tsAAB9s+xXayjqJKyIioq6EAYbabertQejt64qrlXX4ZOcpqcshIqIuhAGG2s1eZof/a3yt+ot953G+pELiioiIqKtggKFbMvo2H4zs7Y1avQHvbM2WuhwiIuoiGGDoljQNbmcnAD9manDo3BWpSyIioi6AAYZuWR+1Eg/fHgQAeGPzSRgMHNyOiIgsiwGGzGLBvbfBRS7D0Qul2HQsX+pyiIjIxjHAkFn4ujnimdE9AQBLt+aguk4vcUVERGTLGGDIbOaM7IEAlSMulVbhH3vPSl0OERHZMAYYMhtHBxleGNcHALBi52kUl9VIXBEREdkqBhgyq/sjAzAgUIWKWj2Wb/tV6nKIiMhGMcCQWdnZCXgpLhwA8M3BPORoyiSuiIiIbBEDDJndHaGeGN9fDYPYMFs1ERGRuTHAkEW8OL4PHGQCdv9ajF05RVKXQ0RENoYBhiwixMsFs6K6A2i4C1OvN0hbEBER2RQGGLKYP9/TG+7ODvi1sBzrfrkodTlERGRDGGDIYlTODnhubG8AwPupOSirrpO4IiIishUMMGRR0+8MQQ9vF1wur8XKXWekLoeIiGxEmwPMnj17MHHiRAQEBEAQBGzcuNFk/2OPPQZBEEyWcePGmbS5cuUKpk2bBqVSCXd3d8yePRvl5eUmbY4dO4aRI0fC0dERQUFBWLp0aduvjiTnILPDi+MbBrf7bO9ZXLxaKXFFRERkC9ocYCoqKhAZGYlPP/30pm3GjRuHgoIC4/L111+b7J82bRqysrKQmpqK5ORk7NmzB0899ZRxv06nQ0xMDEJCQpCeno5ly5bh1VdfxerVq9taLnUC94b74c4enqitN2BZSo7U5RARkQ2wb+sB48ePx/jx43+3jUKhgFqtbnbfyZMnsXXrVhw6dAhDhw4FAHz88ce477778O677yIgIABfffUVamtr8c9//hNyuRz9+vVDRkYG3n//fZOgQ9ZBEBoGt5v4yV58n5GPx4eHYmCQu9RlERGRFbPIMzC7du2Cr68vwsLC8Mwzz6CkpMS4Ly0tDe7u7sbwAgDR0dGws7PDgQMHjG1GjRoFuVxubBMbG4ucnBxcvXq12c+sqamBTqczWajz6N9NhcmDAgEAbySfgCiKEldERETWzOwBZty4cfjXv/6F7du345133sHu3bsxfvx46PV6AIBGo4Gvr6/JMfb29vD09IRGozG28fPzM2nTtN7U5npJSUlQqVTGJSgoyNyXRrdoUWwYHB3s8Mv5q9hyvPm/RyIiotYwe4CZOnUq7r//fkRERGDSpElITk7GoUOHsGvXLnN/lInExERotVrjcuHCBYt+HrWdWuWIp0f1BAC8vSUbNfV6iSsiIiJrZfHXqHv06AFvb2+cPn0aAKBWq1FUZDq0fH19Pa5cuWJ8bkatVqOwsNCkTdP6zZ6tUSgUUCqVJgt1Pk/f3QO+bgrkXanEv/adl7ocIiKyUhYPMBcvXkRJSQn8/f0BAFFRUSgtLUV6erqxzY4dO2AwGDBs2DBjmz179qCu7reBz1JTUxEWFgYPDw9Ll0wW5Cy3x19iwwAAH+04hSsVtRJXRERE1qjNAaa8vBwZGRnIyMgAAJw9exYZGRnIy8tDeXk5Fi1ahP379+PcuXPYvn07HnjgAfTq1QuxsbEAgL59+2LcuHF48skncfDgQfz888+YN28epk6dioCAAADAo48+CrlcjtmzZyMrKwvffvstPvzwQyxcuNB8V06SmTI4EH39lSirrsdH209JXQ4REVkjsY127twpArhhmTVrllhZWSnGxMSIPj4+ooODgxgSEiI++eSTokajMTlHSUmJ+Mgjj4iurq6iUqkUH3/8cbGsrMykzdGjR8URI0aICoVC7Natm/j222+3qU6tVisCELVabVsvkTrA3lPFYkhCstgzcbN4uqis5QOIiKhLaO3vb0EUbfN9Vp1OB5VKBa1Wy+dhOqk5XxzCtpNFiO7rh89mDW35ACIisnmt/f3NuZBIMi+O7wuZnYBtJwux7/RlqcshIiIrwgBDkunl64rpw4IBAG9sPgm9wSZvBhIRkQUwwJCknou+DW6O9jhRoMP6wxelLoeIiKwEAwxJytNFjj/f0wsAsCwlB5W19RJXRERE1oABhiQ3667uCPJ0QlFZDVbvyZW6HCIisgIMMCQ5hb0MieP7AgD+tjsXGm21xBUREVFnxwBDncL4/moMDfFAVZ0e7/6UI3U5RETUyTHAUKcgCAL+GtdwF+a/hy/i+CWtxBUREVFnxgBDncagYA/cHxkAUQTe3HwSNjrGIhERmQEDDHUqL4wLg9zeDmm5Jdh2sqjlA4iIqEtigKFOJdDDGXNGhAIAkn48iTq9QeKKiIioM2KAoU7nmdE94e0qR+7lCr5WTUREzWKAoU7HzdEBi2LDADQMbvefdI7QS0REphhgqFP649AgzG7sSkr47zGkZGkkroiIiDoTBhjqlARBwEtxffGHIYHQG0T8ee0R/MwZq4mIqBEDDHVagiAgaXIExvVTo1ZvwJP/+gVH8q5KXRYREXUCDDDUqdnL7PDhIwMxsrc3Kmv1eOzzQ8jW6KQui4iIJMYAQ52ewl6GVdOHYFCwO7RVdZjxj4M4X1IhdVlERCQhBhiyCi4Ke6x57A70UbuhuKwG0/9xAIU6TvpIRNRVMcCQ1VA5O+Bfs+9AiJczLlypwvTPDuBqRa3UZRERkQQYYMiq+Lo54svZw6BWOuJUUTke+/wgymvqpS6LiIg6GAMMWZ0gT2d8OecOeDg74OhFLZ784hdU1+mlLouIiDoQAwxZpV6+bvjiiTvgqrBHWm4J5q09wnmTiIi6EAYYsloDAt3x95lDIbe3w7aThXjhP8dgMIhSl0VERB2AAYasWlRPL6x4dDBkdgI2HLmE1zZlQRQZYoiIbB0DDFm96HA/vP/HSAgC8EXaeSxP/VXqkoiIyMIYYMgmPDCwG5Y80B8A8NGO0/jsf7kSV0RERJbEAEM2Y8adIVgUGwYAeGPzSaw7dEHiioiIyFIYYMim/Gl0Tzw1qgcA4MX1x/BjZoHEFRERkSUwwJBNEQQBieP7YOrtQTCIwHPfHMGeX4ulLouIiMyMAYZsjiAIePPBCMRF+KNOL+Lpf6cj/fwVqcsiIiIzYoAhmySzE7D84YEYdZsPqur0ePzzQzhZoJO6LCIiMhMGGLJZcns7rJo+GENDPKCrrseMfxzE2csVUpdFRERmwABDNs1Zbo9/PHY7wv2VuFxeg+mfHUCBtkrqsoiI6BYxwJDNUzk54Isn7kCotwsulVZh+mcHUFJeI3VZRER0CxhgqEvwcVPgyznD4K9yxJniCjz2+SGUVddJXRYREbUTAwx1Gd3cnfDv2cPg6SJH5iUtZn/xC6rr9FKXRURE7cAAQ11KL19X/OuJO+CmsMfBs1fwp68Oo05vkLosIiJqIwYY6nL6d1PhH4/dDoW9HXZkF+Ev3x2FwcAZrImIrAkDDHVJd4R6YtX0IbC3E/B9Rj4W/3AcosgQQ0RkLRhgqMsa08cXyx8eCEEAvtyfh3d/ypG6JCIiaqU2B5g9e/Zg4sSJCAgIgCAI2Lhxo8l+URSxePFi+Pv7w8nJCdHR0Th16pRJmytXrmDatGlQKpVwd3fH7NmzUV5ebtLm2LFjGDlyJBwdHREUFISlS5e2/eqIWjAxMgBvTooAAHy68wz+tvuMxBUREVFrtDnAVFRUIDIyEp9++mmz+5cuXYqPPvoIq1atwoEDB+Di4oLY2FhUV1cb20ybNg1ZWVlITU1FcnIy9uzZg6eeesq4X6fTISYmBiEhIUhPT8eyZcvw6quvYvXq1e24RKLf9+iwYCSM6wMASNqSja8P5klcERERtUi8BQDEDRs2GNcNBoOoVqvFZcuWGbeVlpaKCoVC/Prrr0VRFMUTJ06IAMRDhw4Z22zZskUUBEG8dOmSKIqiuGLFCtHDw0OsqakxtklISBDDwsJaXZtWqxUBiFqttr2XR11M0o8nxZCEZLH7i8ni1wfOiwaDQeqSiIi6nNb+/jbrMzBnz56FRqNBdHS0cZtKpcKwYcOQlpYGAEhLS4O7uzuGDh1qbBMdHQ07OzscOHDA2GbUqFGQy+XGNrGxscjJycHVq1eb/eyamhrodDqThagtEsaF4dFhwRBF4MX1mZj/bQYHuyMi6qTMGmA0Gg0AwM/Pz2S7n5+fcZ9Go4Gvr6/Jfnt7e3h6epq0ae4c137G9ZKSkqBSqYxLUFDQrV8QdSmCIOCNB/pjUWwYZI1vJ8V9tBdH8poPzUREJB2beQspMTERWq3WuFy4cEHqksgK2dkJiB/TC+uejkI3dyfkXanEH1alYeWuMxwrhoioEzFrgFGr1QCAwsJCk+2FhYXGfWq1GkVFRSb76+vrceXKFZM2zZ3j2s+4nkKhgFKpNFmI2mtIiAd+fG4k4gb4o94g4p2t2Zj5z4Mo0lW3fDAREVmcWQNMaGgo1Go1tm/fbtym0+lw4MABREVFAQCioqJQWlqK9PR0Y5sdO3bAYDBg2LBhxjZ79uxBXd1vzx+kpqYiLCwMHh4e5iyZ6KZUTg745JFBeGdKBJwcZNh7+jLGffg/7MwuavlgIiKyqDYHmPLycmRkZCAjIwNAw4O7GRkZyMvLgyAImD9/Pt544w388MMPyMzMxMyZMxEQEIBJkyYBAPr27Ytx48bhySefxMGDB/Hzzz9j3rx5mDp1KgICAgAAjz76KORyOWbPno2srCx8++23+PDDD7Fw4UKzXThRawiCgIdvD8amP49AX38lrlTU4vE1h/B68gnU1HMiSCIiqQii2Lbx03ft2oUxY8bcsH3WrFlYs2YNRFHEK6+8gtWrV6O0tBQjRozAihUrcNtttxnbXrlyBfPmzcOmTZtgZ2eHKVOm4KOPPoKrq6uxzbFjxxAfH49Dhw7B29sbf/7zn5GQkNDqOnU6HVQqFbRaLbuTyCyq6/R4Z2s2Pv/5HACgX4ASHz0yCD19XH//QCIiarXW/v5uc4CxFgwwZCnbTxbiL98dxdXKOjg5yPDaA/3whyGBEARB6tKIiKxea39/28xbSEQdZWxfP2ydPwpRPbxQVafHC/85hue+yYCOY8YQEXUYBhiidvBTOuLLOcOMY8b8cDQfcR/9j2PGEBF1EAYYonaSNY4Z893cKAR6OOHClSr8YVUaVuw6zTFjiIgsjAGG6BYNDm4YM2ZC45gxS7fmYMY/D3DMGCIiC2KAITIDpaMDPn5kEJZOGQAnBxl+Pl2CcR/+DzuyC1s+mIiI2owBhshMBEHAH28PMhkz5ok1v+C1TVkcM4aIyMwYYIjMrJevKzb86S48Prw7AODzn8/hwU/34UxxubSFERHZEAYYIgtwdJDhlYn98I9ZQ+Hh7IATBTpM+Ggv1v1yATY69BIRUYdigCGyoObGjHmWY8YQEd0yBhgiC7t+zJhNR/Nx34f/w2GOGUNE1G4MMEQd4PoxYy5ebRgz5tOdp6HnmDFERG3GAEPUga4dM0ZvELEsJQcz/nEAhRwzhoioTRhgiDqYccyYhxrGjNl3pgTjPtiD7Sc5ZgwRUWsxwBBJQBAE/HFoEJKfHYFwfyWuVtZh9he/4C/fHcWl0iqpyyMi6vQYYIgk1NPHFRvi78ITw0MBAP9Jv4gx7+7CG8kncKWiVuLqiIg6L0G00UEpdDodVCoVtFotlEql1OUQtehw3lUs3ZqN/blXAACuCns8NaoHZo8IhYvCXuLqiIg6Rmt/fzPAEHUioihiz6nLWLo1G1n5OgCAt6sc88b0wqPDQiC3501TIrJtDDAMMGTFDAYRmzML8N5POThXUgkACPRwwvMxt+H+yG6Q2QkSV0hEZBkMMAwwZAPq9Aas++UCPtx2CkVlNQCAPmo3LIoNwz19fCEIDDJEZFsYYBhgyIZU1erx+b6zWLnrDMqq6wEAQ0M8kDC+D27v7ilxdURE5sMAwwBDNqi0shardufi85/PoqbeAAC4p48vFsWGoa8//z0nIuvHAMMAQzZMo63GRztO4dtDF6A3iBAE4IHIACy8NwzBXs5Sl0dE1G4MMAww1AXkFpfj/dRfkXysAADgIBPwyB3B+PM9veHjppC4OiKitmOAYYChLiTzohZLU7Lxv1OXAQDOchlmjwjFk6N6QOnoIHF1REStxwDDAENd0L7Tl/FOSg6OXigFALg7OyB+dC/MiAqBo4NM2uKIiFqBAYYBhrooURSRklWIZSnZOFNcAQDwVzlifnRvTBkcCHsZB8Mjos6LAYYBhrq4er0B6w9fwvJtv6JAWw0A6OHjgkUxYRjXX80xZIioU2KAYYAhAgBU1+nx5f7z+HTnaVytrAMARAaq8MK4Phjey1vi6oiITDHAMMAQmdBV1+GzPbn4bO9ZVNbqAQAje3tjUWwYBgS6S1scEVEjBhgGGKJmFZfV4JMdp7D2YB7q9A3/+Y+6zQdTBndDTLgaTnI+7EtE0mGAYYAh+l15JZVYvu1XbMy4hKZvAVeFPeIi/DF5cDfc3t0Tdpw0kog6GAMMAwxRq5y7XIH1Ry5h/eGLuHi1yrg9yNMJDw4KxORB3dDd20XCComoK2GAYYAhahODQcShc1ew/vAlbM4sQHlNvXHf0BAPTB4ciLgB/lA5cWA8IrIcBhgGGKJ2q6rV46cTGvz38CXsPVUMQ+O3hNzeDveG++GhwYEY2dubY8oQkdkxwDDAEJlFoa4aG49cwn8PX8SvheXG7d6uCkwaGIDJgwMRHsD/xojIPBhgGGCIzEoURWTl6/DfwxfxQ0Y+Sipqjfv6+isxZXA33D8wAL5ujhJWSUTWjgGGAYbIYur0BuzOKcb6Ixex7UQRavUGAIDMTsCo3t6YPDgQ94b7cf4lImozBhgGGKIOUVpZi+RjBfjv4Ys4kldq3O7maI8JA/wxZXAghoR4cOoCImoVBhgGGKIOl1tcjvWHL2HDkUu4VPrbK9khXs54cFA3TBkciCBPZwkrJKLOjgGGAYZIMgaDiP1nS7D+8CVsySxARePUBQBwR3dPTBnSDfdF+MPNka9kE5Gp1v7+Nvs7kK+++ioEQTBZ+vTpY9xfXV2N+Ph4eHl5wdXVFVOmTEFhYaHJOfLy8hAXFwdnZ2f4+vpi0aJFqK+vv/6jiKiTsrMTcFdPb7z7h0gceikayx+OxMje3hAE4OC5K0j4byaGvrENc744hM/+l4vjl7TQG2zy/6WIyELsLXHSfv36Ydu2bb99iP1vH7NgwQJs3rwZ3333HVQqFebNm4fJkyfj559/BgDo9XrExcVBrVZj3759KCgowMyZM+Hg4IC33nrLEuUSkQU5y+3x4KBAPDgoEAXaKmw8ko//Hr6I00Xl2HayCNtOFgEAlI72uCPUC3f28MSdPbzQ118JGacyIKKbMHsX0quvvoqNGzciIyPjhn1arRY+Pj5Yu3YtHnroIQBAdnY2+vbti7S0NNx5553YsmULJkyYgPz8fPj5+QEAVq1ahYSEBBQXF0Mul7eqDnYhEXVeTa9k/3z6MvbnluDQuasmI/8CDDREXVVrf39b5A7MqVOnEBAQAEdHR0RFRSEpKQnBwcFIT09HXV0doqOjjW379OmD4OBgY4BJS0tDRESEMbwAQGxsLJ555hlkZWVh0KBBzX5mTU0NampqjOs6nc4Sl0ZEZiAIAvp3U6F/NxWevrsn6vUGZOXrsD+3xBhodNX12HayENtONnQxM9AQ0bXMHmCGDRuGNWvWICwsDAUFBXjttdcwcuRIHD9+HBqNBnK5HO7u7ibH+Pn5QaPRAAA0Go1JeGna37TvZpKSkvDaa6+Z92KIqEPYy+wQGeSOyCB3BhoiahWzB5jx48cb/zxgwAAMGzYMISEhWLduHZycnMz9cUaJiYlYuHChcV2n0yEoKMhin0dElsNAQ0QtsUgX0rXc3d1x22234fTp07j33ntRW1uL0tJSk7swhYWFUKvVAAC1Wo2DBw+anKPpLaWmNs1RKBRQKBTmvwAikhwDDRFdz+IBpry8HGfOnMGMGTMwZMgQODg4YPv27ZgyZQoAICcnB3l5eYiKigIAREVF4c0330RRURF8fX0BAKmpqVAqlQgPD7d0uURkBW410AwO8UAftRuc5Rb/CiQiCzH7W0h/+ctfMHHiRISEhCA/Px+vvPIKMjIycOLECfj4+OCZZ57Bjz/+iDVr1kCpVOLPf/4zAGDfvn0AGl6jHjhwIAICArB06VJoNBrMmDEDc+bMadNr1HwLiajrqtcbcPzaQHP2islgegAgCEB3Lxf09XdDX7USff2V6BugRIDKkdMeEElIsreQLl68iEceeQQlJSXw8fHBiBEjsH//fvj4+AAAli9fDjs7O0yZMgU1NTWIjY3FihUrjMfLZDIkJyfjmWeeQVRUFFxcXDBr1iwsWbLE3KUSkY2yl9lhYJA7Bga5Y27jHZqmQHMgtwSZl3S4XF6Ds5crcPZyBX7M/O0FAaWjPfr4KxHur2wIN/5K3ObnxokpiToZTiVARF1ScVkNsjU6nCzQ4WRBGU4W6HC6qBz1zYwIbCcAPXxcG+7SNIaacH8lfN0UvFtDZGacC4kBhojaqKZej9NF5cZA07Rcraxrtr2nixx91G6NwaYh3PT2dYPc3uyztBB1GQwwDDBEZAaiKKKorAYnCkzv1uQWl6O56Zvs7QT08jW9W9PXXwlvV74lSdQaDDAMMERkQdV1evxaWGYSak4W6KCrbn7iWR83BW7zc0Wotwt6eLsi1McFPbxd0M3dCfYy3rEhasIAwwBDRB1MFEXka6txMr/xbo2mIdycK6nAzb5pHWQCgj2dEertih4+Lgj1dmkMOS7w4TM21AUxwDDAEFEnUVlbj2xNGc4UlRvffGpaauoNNz3OVWFvDDSh3i4mAcfN0aEDr4Co4zDAMMAQUSdnMIgo0FXjbHEFzl4ux5ni34LNxauVzT5j08TbVYEe14WaHj4uCPJ0hsKer3yT9WKAYYAhIitWU6/HhSuVyL0m1ORerkBucQUul9fc9Dg7AQj0cDYJNcGezujm7oQAdye4KDj6MHVuDDAMMERko3TVdTjXFGquDTjF5TeMOHw9d2cHBKgawkw3d0cENAabhnUn+LgpOGcUSUqykXiJiMiylI4OGBDojgGB7ibbRVFEcXnNDaHm4tUqXCqtQll1PUor61BaWYcTBbpmz21vJ0CtcjQGmm7GgOPIuzjUqfDfQiIiGyEIAnzdHOHr5og7e3jdsF9XXYeC0mrklzYEmnzjUo1LpVXQ6KpRbxBx8WoVLl6tuunnqJwcbnIHp2Hd182Rd3HI4hhgiIi6CKWjA5RqB4Sp3ZrdX683oKis5pqAU20MOU2BR1ddD21VHbRVdTjZwl0ctdIRXq5yeLsq4OWqgI+rHF6uisb1hu1KR3u+Kk7twgBDREQAGibBbLqbMvQmbcqq61CgrTYGmktX23cXp4lcZgcvV/lvQcdFAW83Obybfl6zzdNZzkH/yIgBhoiIWs3N0QFujg64za/5uzh6g4iismpculqForIaXC6vweXyWpSUN/y5pLzW+LOsph61egMKtNUo0Fa3+NmCAHg4y+HlIje5i+N9zV0eb1c5PF3kUDk11MmuLNvFAENERGYjsxPgr3KCv8qpxbbVdXqUVNTiclkNSipqcLmsFpcbf5ZUXBt4anGlogYGEbhSUYsrFbU4VVTeqnrcFPZQOjnAzdEeKicHKJ0cGn46Nv50sjeuG/c1bnNykLF7qxNjgCEiIkk4OsiMbzq1RG8QUVpZa7ybU3zd3ZzL5TW43BiGrlbWorLxdfKymnqU1TQ/P1VLHGSCMdgonRygdLT/3QDk5mgPV4U9nBX2cJXbw1khgwO7vCyGAYaIiDo9mZ0Ar8ZuIqD57qtr1ekNKGt84FjX+NCxrrrxZ1X9NX9u2lcP3TXr9QYRdXoRJRW1KKmobXfdcpkdXBQyOMubwo0MLnJ7uBh/XrvNHi5yWUMAuvYYuaxhn8Iezg4y2LFbDAADDBER2SAHmR08XRqeh2krURRRVac3DTuVpgHINBA1/CyrrkdlbT0qavWobZzjqlZvQG2lAVcr68x2bU4OTYGmIfg4y2Vwksvg5NDw01kug6NDw7rxz/Lr1h0aApKT3M5kXWFvZzUBiQGGiIjoGoIgwFluD2e5PfxV7TtHnd6Ayho9KmrrUVHTEGoqahr+XFmrR3lNQ9gpr9Gj8pr9Ddsa2jS0/+0cTXNjVdXpUVWnx+XWPQbUZo4Odg3hxkFm+me5DE6N602h58FB3RAR2M5/SLeIAYaIiMjMHGR2UDnbQeVsnlnDRVFETb3hhlBTUdsQgJpCTVVt43LtenM/6/SortWjsnHbtbOiV9cZUF3Xum6zQcHuDDBERETUPEEQ4OjQ0P3j5Wr+8xsMIqrr9ahsDEDVjSGnsva3sNO0Xn1NELrZ6/QdgQGGiIioi7Oz+63bzFrw/S4iIiKyOgwwREREZHUYYIiIiMjqMMAQERGR1WGAISIiIqvDAENERERWhwGGiIiIrA4DDBEREVkdBhgiIiKyOgwwREREZHUYYIiIiMjqMMAQERGR1WGAISIiIqtjPdNOtpEoigAAnU4ncSVERETUWk2/t5t+j9+MzQaYsrIyAEBQUJDElRAREVFblZWVQaVS3XS/ILYUcayUwWBAfn4+3NzcIAiC2c6r0+kQFBSECxcuQKlUmu28nVlXu2Zer23j9do2Xq/1E0URZWVlCAgIgJ3dzZ90sdk7MHZ2dggMDLTY+ZVKpc38y9JaXe2aeb22jddr23i91u337rw04UO8REREZHUYYIiIiMjqMMC0kUKhwCuvvAKFQiF1KR2mq10zr9e28XptG6+367DZh3iJiIjIdvEODBEREVkdBhgiIiKyOgwwREREZHUYYIiIiMjqMMAQERGR1WGAaaNPP/0U3bt3h6OjI4YNG4aDBw9KXZJFJCUl4fbbb4ebmxt8fX0xadIk5OTkSF1Wh3n77bchCALmz58vdSkWc+nSJUyfPh1eXl5wcnJCREQEfvnlF6nLsgi9Xo+XX34ZoaGhcHJyQs+ePfH666+3OFmcNdmzZw8mTpyIgIAACIKAjRs3muwXRRGLFy+Gv78/nJycEB0djVOnTklTrBn83vXW1dUhISEBERERcHFxQUBAAGbOnIn8/HzpCr5FLf39Xmvu3LkQBAEffPBBh9UnBQaYNvj222+xcOFCvPLKKzh8+DAiIyMRGxuLoqIiqUszu927dyM+Ph779+9Hamoq6urqEBMTg4qKCqlLs7hDhw7hb3/7GwYMGCB1KRZz9epVDB8+HA4ODtiyZQtOnDiB9957Dx4eHlKXZhHvvPMOVq5ciU8++QQnT57EO++8g6VLl+Ljjz+WujSzqaioQGRkJD799NNm9y9duhQfffQRVq1ahQMHDsDFxQWxsbGorq7u4ErN4/eut7KyEocPH8bLL7+Mw4cPY/369cjJycH9998vQaXm0dLfb5MNGzZg//79CAgI6KDKJCRSq91xxx1ifHy8cV2v14sBAQFiUlKShFV1jKKiIhGAuHv3bqlLsaiysjKxd+/eYmpqqnj33XeLzz33nNQlWURCQoI4YsQIqcvoMHFxceITTzxhsm3y5MnitGnTJKrIsgCIGzZsMK4bDAZRrVaLy5YtM24rLS0VFQqF+PXXX0tQoXldf73NOXjwoAhAPH/+fMcUZUE3u96LFy+K3bp1E48fPy6GhISIy5cv7/DaOhLvwLRSbW0t0tPTER0dbdxmZ2eH6OhopKWlSVhZx9BqtQAAT09PiSuxrPj4eMTFxZn8PduiH374AUOHDsUf/vAH+Pr6YtCgQfj73/8udVkWc9ddd2H79u349ddfAQBHjx7F3r17MX78eIkr6xhnz56FRqMx+fdapVJh2LBhXeL7C2j4DhMEAe7u7lKXYhEGgwEzZszAokWL0K9fP6nL6RA2Oxu1uV2+fBl6vR5+fn4m2/38/JCdnS1RVR3DYDBg/vz5GD58OPr37y91ORbzzTff4PDhwzh06JDUpVhcbm4uVq5ciYULF+L//u//cOjQITz77LOQy+WYNWuW1OWZ3YsvvgidToc+ffpAJpNBr9fjzTffxLRp06QurUNoNBoAaPb7q2mfLauurkZCQgIeeeQRm5qx+VrvvPMO7O3t8eyzz0pdSodhgKEWxcfH4/jx49i7d6/UpVjMhQsX8NxzzyE1NRWOjo5Sl2NxBoMBQ4cOxVtvvQUAGDRoEI4fP45Vq1bZZIBZt24dvvrqK6xduxb9+vVDRkYG5s+fj4CAAJu8XvpNXV0d/vjHP0IURaxcuVLqciwiPT0dH374IQ4fPgxBEKQup8OwC6mVvL29IZPJUFhYaLK9sLAQarVaoqosb968eUhOTsbOnTsRGBgodTkWk56ejqKiIgwePBj29vawt7fH7t278dFHH8He3h56vV7qEs3K398f4eHhJtv69u2LvLw8iSqyrEWLFuHFF1/E1KlTERERgRkzZmDBggVISkqSurQO0fQd1dW+v5rCy/nz55Gammqzd1/+97//oaioCMHBwcbvr/Pnz+P5559H9+7dpS7PYhhgWkkul2PIkCHYvn27cZvBYMD27dsRFRUlYWWWIYoi5s2bhw0bNmDHjh0IDQ2VuiSLGjt2LDIzM5GRkWFchg4dimnTpiEjIwMymUzqEs1q+PDhN7wW/+uvvyIkJESiiiyrsrISdnamX3cymQwGg0GiijpWaGgo1Gq1yfeXTqfDgQMHbPL7C/gtvJw6dQrbtm2Dl5eX1CVZzIwZM3Ds2DGT76+AgAAsWrQIKSkpUpdnMexCaoOFCxdi1qxZGDp0KO644w588MEHqKiowOOPPy51aWYXHx+PtWvX4vvvv4ebm5uxn1ylUsHJyUni6szPzc3thud7XFxc4OXlZZPP/SxYsAB33XUX3nrrLfzxj3/EwYMHsXr1aqxevVrq0ixi4sSJePPNNxEcHIx+/frhyJEjeP/99/HEE09IXZrZlJeX4/Tp08b1s2fPIiMjA56enggODsb8+fPxxhtvoHfv3ggNDcXLL7+MgIAATJo0Sbqib8HvXa+/vz8eeughHD58GMnJydDr9cbvME9PT8jlcqnKbreW/n6vD2gODg5Qq9UICwvr6FI7jtSvQVmbjz/+WAwODhblcrl4xx13iPv375e6JIsA0Ozy+eefS11ah7Hl16hFURQ3bdok9u/fX1QoFGKfPn3E1atXS12Sxeh0OvG5554Tg4ODRUdHR7FHjx7iX//6V7Gmpkbq0sxm586dzf43O2vWLFEUG16lfvnll0U/Pz9RoVCIY8eOFXNycqQt+hb83vWePXv2pt9hO3fulLr0dmnp7/d6XeE1akEUbWgoSiIiIuoS+AwMERERWR0GGCIiIrI6DDBERERkdRhgiIiIyOowwBAREZHVYYAhIiIiq8MAQ0RERFaHAYaIiIisDgMMERERWR0GGCIiIrI6DDBERERkdf4fqZLBJX+94QoAAAAASUVORK5CYII=\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1163,14 +1163,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1194,14 +1194,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1225,6 +1225,7 @@ }, { "cell_type": "code", + "execution_count": 31, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1233,81 +1234,80 @@ "id": "5a1df71d", "outputId": "1d0ca064-e5be-49c5-f42b-c7aa0b58455b" }, - "source": [ - "# Calculate the loss for each test sample\n", - "test_losses = []\n", - "for i in range(len(X_test)):\n", - " loss = model.loss(X_test[i:i+1], y_test[i:i+1])\n", - " test_losses.append(loss)\n", - "\n", - "# Find the indices of the samples with the highest loss (worst predictions)\n", - "worst_predictions_indices = np.argsort(test_losses)[-5:] # Get the top 5 worst predictions\n", - "\n", - "print(\"Worst predictions:\", worst_predictions_indices)\n", - "\n", - "# Plot the worst predictions\n", - "for idx in worst_predictions_indices:\n", - " plot_prediction(model, sample_idx=idx)" - ], - "execution_count": 31, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Worst predictions: [170 69 244 99 107]\n" ] }, { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" 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cuGAtuzizz8zM1MmTJ9WuXTvt379fmZmZkqSVK1fqwoULeuKJJ2z2969//avY36O3t7f1tqbFYtGpU6d04cIFRUVFacuWLQXqd+/eXWFhYdb1Vq1aKTo62jrN3KlTp/Tdd9+pR48eOnPmjDW+P/74Q3Fxcdq7d2+hXQakf+5GGIZxVbOUmM1m1a1bVw888IA+/vhjffjhh4qKitIjjzyiDRs2OHQcgBvNmTNnJEnlypW7bL381/O7ATnTxXdvpf8757lq2kofHx8NHjzYuu7r66vBgwcrIyNDqampNnXj4+NtzuebN29WRkaGnnjiCZv+9V27dlX9+vXt3u25eOrY/F/5c3NztWLFCmv5xW38+eefyszMVNu2be2ej2NiYtSyZUvrerVq1XTPPfdo2bJlysvLu9rDcE0Mw9Bnn32mbt26yTAMm+tSXFycMjMzrbFXqFBBv/32W4HuOFfyxx9/SJIqVqxo9/XQ0FCbO+Lly5dXnz599NNPPyk9Pd2m7qBBg2zGoCxfvlynT59Wr169bGL39vZWdHS0tYvwsWPHlJaWpvj4eAUEBFi3v+OOO9SwYcPLxm+xWLRo0SJ169ZNUVFRBV6/tKvX1fjmm28UHBysXr16WctKlSqloUOH6uzZs1qzZo1N/Z49e9ocv/y7lfv377eWRUREyDCMK05J7OXlpcGDB2vlypVKSkrS3r17lZqaqh49eig3N1fSP3dWLpbf9tV0efYkdIu6DoSFhV3ToKW9e/fq559/LvRWeEZGRpH2W61aNZv1/BNLeHh4gXKLxaLMzExVrlxZkvTDDz8oOTlZ69ev17lz52zqZ2ZmKiAgwDpnd+3atW1er1SpUoGTaXG8x/fee08TJkzQrl27dP78eWt5jRo1CtStU6dOgbK6detauyHt27dPhmHohRdeKHTquYyMDJsEpagSExO1YcMGbdmyxTqwskePHmrUqJGGDRumH3/88ZrbAK5X+UlDfpJRmKtNQori0vNJrVq15OXl5bKpOENDQwsM6K1bt66kf/qqXzx4+NLzYf55u169egX2W79+fa1du9amzMvLq8Cg+Ivbyrd48WK9/PLLSktLsxnDZ+8LaGHn43PnzunEiRM23VKKy4kTJ3T69GlNnz5d06dPt1sn/7r0zDPPaMWKFWrVqpVq166tTp066eGHH1abNm2uqi2jkP76tWvXLnB8Lj62Fx+HSz/HvXv3SlKhA43Lly8v6f8+b3vHvF69enaTv3wnTpxQVlaWU7sDHTp0SHXq1CkwqUB+N6pLnwVy6feY/O8Wf/75Z5Haf/HFF3Xy5Em9+uqrGjdunCSpU6dOGjBggKZNm1bguS75n11REil3Irm4Djg6CPfSX2YsFovuuOMOPf3003br559sHFXYTBuFlef/J/r111/VoUMH1a9fXxMnTlR4eLh8fX31zTff6PXXXy/SAGxnv8cPP/xQffv2Vffu3fXUU08pMDBQ3t7eSklJ0a+//lqk+CTpySefVFxcnN06lyZRRZGbm6uZM2fq6aeftjm5lipVSl26dNHkyZOVm5vrcTNsAJ4iICBAISEh+vnnny9b7+eff1ZYWJj1S1ZhXw6c8Uv5pfsuzrYc5YpJIv73v//p7rvv1m233aa3335bISEhKlWqlGbPnn1Vg57dIf+c/8gjjyg+Pt5unaZNm0r654vv7t27tXjxYi1dulSfffaZ3n77bY0aNUpjxowptI38H+uK+kX4Ypd+jvnxf/DBB3aTMVdPuVtcrvR9xVG+vr5699139corr2jPnj0KCgpS3bp19fDDD8vLy6vAdT7/s8sfD1VSXB+fPuyqWLFigQcj5ebmFpjRoFatWjp79qw6duzowugK99VXXyknJ0dffvmlza8Gl87ElP9AoH379tn8qvLHH38UOJk6+z0uWLBANWvW1Oeff25zIU9OTrZbP/9Xnovt2bPHOuAt/5e5UqVKFevn8Mcff+jChQt2v2ScP39eFovFLV9AgJLkrrvu0owZM7R27VrdeuutBV7/3//+p4MHD9p0HbJ3PpYK/lIqXflXyr1799qc8/bt2yeLxWI9n+T/unppe0Vpy57ff/+9wHSke/bskSS7M2JdLP+8vXv37gK/eu/evbvAg94sFov2799v8wPQpW199tln8vPz07Jly2xmwZs9e7bdGAo7H5cuXfqKg9mv5GqPZ9WqVVWuXDnl5eVd1Tm/TJky6tmzp3r27Knc3Fzdd999euWVV5SUlFTo9K3169eXJB04cMDu6/l3zC+O+Wo/x/xJBgIDAy8bf/7nae+Y7969+7JtVK1aVeXLl7c7s+LFHPkbrl69un7++WdZLBabH9h27dplE29xCwoKsk7mkpeXp9WrVys6OrrAnYv8z87dzzNzFGMurmO1atUqMJZg+vTpBb489ujRQ+vXr9eyZcsK7OP06dM2YyFcIf+Xgot/GcjMzCxwoejQoYN8fHwKTFE7efLkAvt09nu0F+OPP/6o9evX262/aNEimzETGzdu1I8//qguXbpI+ucEHRsbq3feecfudHYnTpy4bDxXOxVtYGCgKlSooIULF1r7eErS2bNn9dVXX6l+/fpMRwtcwVNPPSV/f38NHjzY2q8936lTpzRkyBCVLl3aOs2r9M/5ODMz0+aOx7Fjx+xOyVmmTJnLPjE7f7rTfG+99ZYkWc8n5cuXV5UqVQqc/99++227bUkFE5HLuXDhgt555x3rem5urt555x1VrVrVZiyDPVFRUQoMDNS0adNsui8tWbJEO3fuLDCzk2R7TjcMQ5MnT1apUqXUoUMHSf+cj00mk8217eDBg4U+5Xz9+vU23XGOHDmiL774Qp06dbrisy2u5GqPp7e3t+6//3599tlndr88X3zOv/RvzNfXVw0bNpRhGDZdci8VFham8PBwbd682e7rv//+u83fX1ZWlt5//31FRkZesWtYXFycypcvr7Fjx9qNIT/+kJAQRUZG6r333rOOl5T+GbOxY8eOy7bh5eWl7t2766uvvrL7HvKvv478Dd95551KT0/X/PnzrWUXLlzQW2+9pbJly6pdu3ZX3MelrnYq2sK89tprOnbsmP79738XeC01NVUBAQFq1KhRkfbtLty5uI4NHDhQQ4YM0f3336877rhDW7du1bJlywrcXnvqqaf05Zdf6q677lLfvn3VsmVLZWdna9u2bVqwYIEOHjzo0ltynTp1kq+vr7p166bBgwfr7NmzmjFjhgIDA23+8wYFBWnYsGGaMGGC7r77bnXu3Flbt27VkiVLVKVKFZtfM5z9Hu+66y59/vnnuvfee9W1a1cdOHBA06ZNU8OGDXX27NkC9WvXrq1bb71Vjz/+uHJycjRp0iRVrlzZppvWlClTdOutt6pJkyYaNGiQatasqePHj2v9+vX67bfftHXr1kLjudqpaL29vfXkk0/qP//5j2655Rb16dNHeXl5mjlzpn777Td9+OGHV30MgBtVnTp19N5776l3795q0qRJgSd0nzx5Uh9//LHNFLIPPfSQnnnmGd17770aOnSoddrOunXrFuh33rJlS61YsUITJ05UaGioatSooejoaOvrBw4csJ7z1q9frw8//FAPP/ywmjVrZq0zcOBAjRs3TgMHDlRUVJS+//5766/Sl7YlSc8//7weeughlSpVSt26dbvsQ9JCQ0M1fvx4HTx4UHXr1tX8+fOVlpam6dOn20ziYU+pUqU0fvx49evXT+3atVOvXr2sU9FGREQUeIinn5+fli5dqvj4eEVHR2vJkiX6+uuv9dxzz1nvMnTt2lUTJ05U586d9fDDDysjI0NTpkxR7dq17XZfa9y4seLi4mymopV02S5GVyv/eA4dOlRxcXHy9vbWQw89ZLfuuHHjtGrVKkVHR2vQoEFq2LChTp06pS1btmjFihU6deqUpH+uicHBwWrTpo2CgoK0c+dOTZ48WV27dr3imJ577rlHCxcuLHCHQvqnO/CAAQO0adMmBQUFadasWTp+/Hihd3wuVr58eU2dOlWPPvqoWrRooYceekhVq1bV4cOH9fXXX6tNmzbWpDAlJUVdu3bVrbfeqv79++vUqVPW53bYu15ebOzYsfr222/Vrl07PfbYY2rQoIGOHTumTz/9VGvXrlWFChUUGRkpb29vjR8/XpmZmTKbzdbnZF3qscce0zvvvKO+ffsqNTVVERERWrBggX744QdNmjSpSGOkrnYqWumfLtWfffaZbrvtNpUtW1YrVqzQJ598ooEDB+r+++8vUH/58uXq1q1biRtzwVS0JUhhU9EWNkVdXl6e8cwzzxhVqlQxSpcubcTFxRn79u0rMBWtYfwzrVxSUpJRu3Ztw9fX16hSpYrRunVr47XXXrOZTtaewqai/fTTT23q5U9pd+mUcvnTK148reCXX35pNG3a1PDz8zMiIiKM8ePHG7NmzSowNeCFCxeMF154wQgODjb8/f2N9u3bGzt37jQqV65sDBkypNjeo8ViMcaOHWtUr17dMJvNRvPmzY3FixcXmG4yf4q6//73v8aECROM8PBww2w2G23btrVOG3mxX3/91ejTp48RHBxslCpVyggLCzPuuusuY8GCBQWOb1GnojUMw/joo4+MVq1aGRUqVDD8/f2N6OhomzYAXNnPP/9s9OrVywgJCTFKlSplBAcHG7169TK2bdtmt/63335rNG7c2PD19TXq1atnfPjhh3anot21a5dx2223Gf7+/jZTXObX3bFjh/HAAw8Y5cqVMypWrGgkJibaTOtqGP9MzTpgwAAjICDAKFeunNGjRw8jIyPD7nnipZdeMsLCwgwvL68rTkubf83ZvHmzERMTY/j5+RnVq1c3Jk+ebFOvsOtAvvnz5xvNmzc3zGazUalSJaN3794203Ubxj9T0ZYpU8b49ddfjU6dOhmlS5c2goKCjOTkZCMvL8+m7syZM406deoYZrPZqF+/vjF79my7x1aSkZCQYHz44YfW+s2bNy8wjWlRp6K9cOGC8a9//cuoWrWqdbrvi9u+9NgfP37cSEhIMMLDw61/Qx06dDCmT59urfPOO+8Yt912m1G5cmXDbDYbtWrVMp566ikjMzPT7rG92JYtWwxJxv/+9z+b8urVqxtdu3Y1li1bZjRt2tR63K72up1v1apVRlxcnBEQEGD4+fkZtWrVMvr27VtgStXPPvvMaNCggWE2m42GDRsan3/+ud3pme0do0OHDhl9+vQxqlatapjNZqNmzZpGQkKCzXTwM2bMMGrWrGl4e3vbXB8v/cwM459j3q9fP6NKlSqGr6+v0aRJkwLTNl987b7UpTFe7VS0hvHPNPS33XabUbFiRcPPz89o1qyZMW3aNOu0uhfbuXOnIclYsWLFFffraUyGUcIe+wdcwenTp1WxYkW9/PLLev75590dDgA4xejRozVmzBidOHHCbQM8Y2NjdfLkySv2g4fn6NChg0JDQ20e7BcREaHGjRtr8eLFbowMlzN8+HB9//33Sk1NLXF3LhhzgRLt0jmhJVmfth0bG+vaYAAA8DBjx47V/Pnz7Q7oh2f6448/9O677+rll18ucYmFxJgLlHDz58/XnDlzdOedd6ps2bJau3atPv74Y3Xq1Omq5wAHAOB6FR0dbTOBBzxf5cqVrzgexZORXKBEa9q0qXx8fPTqq68qKyvLOsj75ZdfdndoAAAANxzGXAAAAABwCsZcAAAAAHAKkgsAAAAATuHyMRcWi0W///67ypUrVyJHwANAPsMwdObMGYWGhsrLi99qihvXDwBwD0eudy5PLn7//XeFh4e7ulkAKDZHjhzRTTfd5O4wrntcPwDAva7meufy5CL/0epHjhxR+fLlXd18ieXJ06pmZma6OwS7qlWr5u4QCrVt2zZ3h1CouXPnujsEu9q2bevuEArIyspSeHi49byG4sX1AwDcw5HrncuTi/xb2eXLl+fi4ABvb293h1AoT+0O4uPjuTMte3KXjjJlyrg7BLs8+XzhyZ/n9YTrBwC419Vc7zzzWyEAAACAEofkAgAAAIBTkFwAAAAAcArP7ZQOAICDDMPQhQsXlJeX5+5Q4CTe3t7y8fFhbBNQQpBcAACuC7m5uTp27JjOnTvn7lDgZKVLl1ZISIh8fX3dHQqAKyC5AACUeBaLRQcOHJC3t7dCQ0Pl6+vLL93XAcMwlJubqxMnTujAgQOqU6eOx85QCOAfJBcAgBIvNzdXFotF4eHhKl26tLvDgRP5+/urVKlSOnTokHJzc+Xn5+fukABcBuk/AMBh33//vbp166bQ0FCZTCYtWrToitusXr1aLVq0kNlsVu3atTVnzhynx8Wv2tcnPleg5OB/KwDAYdnZ2WrWrJmmTJlyVfUPHDigrl276vbbb1daWpqGDx+ugQMHatmyZcUcKQDAlegWBQBwWJcuXdSlS5errj9t2jTVqFFDEyZMkCQ1aNBAa9eu1euvv664uLjiChMA4GLcuQAAFLv169erY8eONmVxcXFav359odvk5OQoKyvLZgEAeDbuXAAAil16erqCgoJsyoKCgpSVlaW//vpL/v7+BbZJSUnRmDFjrrntiGe/vuZ9XK2D47o6vE1sbKwiIyM1adIk5wcE4IpcdY4oyvmhJCrSnYspU6YoIiJCfn5+io6O1saNG50dFwDgBpeUlKTMzEzrcuTIEXeH5Bb5DwYEgJLA4eRi/vz5GjlypJKTk7VlyxY1a9ZMcXFxysjIKI74AADXgeDgYB0/ftym7Pjx4ypfvrzduxaSZDabVb58eZvletO3b1+tWbNGb7zxhkwmk0wmk+bMmSOTyaQlS5aoZcuWMpvNWrt2rfr27avu3bvbbD98+HDFxsZa1y0Wi1JSUlSjRg35+/urWbNmWrBggWvfFIAbmsPJxcSJEzVo0CD169dPDRs21LRp01S6dGnNmjWrOOIDAFwHYmJitHLlSpuy5cuXKyYmxk0ReYY33nhDMTExGjRokI4dO6Zjx44pPDxckvTss89q3Lhx2rlzp5o2bXpV+0tJSdH777+vadOm6ZdfftGIESP0yCOPaM2aNcX5NgDAyqExF7m5uUpNTVVSUpK1zMvLSx07dix0UF5OTo5ycnKs6wzIA4CS7+zZs9q3b591/cCBA0pLS1OlSpVUrVo1JSUl6ejRo3r//fclSUOGDNHkyZP19NNPq3///vruu+/0ySef6OuvXTcewhMFBATI19dXpUuXVnBwsCRp165dkqQXX3xRd9xxx1XvKycnR2PHjtWKFSusSVvNmjW1du1avfPOO2rXrp3z3wAAXMKh5OLkyZPKy8uzOygv/2R4KWcNyAMAeI7Nmzfr9ttvt66PHDlSkhQfH685c+bo2LFjOnz4sPX1GjVq6Ouvv9aIESP0xhtv6KabbtK7777LNLSXERUV5VD9ffv26dy5cwUSktzcXDVv3tyZoQFAoYp9tqikpCTrRUf6585F/i1fAEDJFBsbK8MwCn3d3tO3Y2Nj9dNPPxVjVNeXMmXK2Kx7eXkVOObnz5+3/vvs2bOSpK+//lphYWE29cxmczFFCQC2HEouqlSpIm9vb7uD8vJv517KbDZzUgMAoBC+vr7Ky8u7Yr2qVatq+/btNmVpaWkqVaqUJKlhw4Yym806fPgwXaAAuI1DA7p9fX3VsmVLm0F5FotFK1euvOEH5QEAUBQRERH68ccfdfDgQZ08eVIWi8Vuvfbt22vz5s16//33tXfvXiUnJ9skG+XKldOTTz6pESNG6L333tOvv/6qLVu26K233tJ7773nqrcD4AbncLeokSNHKj4+XlFRUWrVqpUmTZqk7Oxs9evXrzjiAwDgmnj6g6uefPJJxcfHq2HDhvrrr780e/Zsu/Xi4uL0wgsv6Omnn9bff/+t/v37q0+fPtq2bZu1zksvvaSqVasqJSVF+/fvV4UKFdSiRQs999xzrno7AG5wDicXPXv21IkTJzRq1Cilp6crMjJSS5cuLTDIGwAAXFndunULzLjYt29fu3XHjBlz2UlSTCaThg0bpmHDhjkzRAC4akUa0J2YmKjExERnxwIAAACgBHP4IXoAAAAAYA/JBQAAAACnILkAAAAA4BQkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAADXN5PJdYuHi4iI0KRJk6zrJpNJixYtuqZ9OmMfAK4fRXpCNwAAKPmOHTumihUrXlXd0aNHa9GiRUpLSyvyPgBc/0guAAAoQXJzc+Xr6+uUfQUHB3vEPgBcP+gWBQCAG8XGxioxMVGJiYkKCAhQlSpV9MILL8gwDEn/dGV66aWX1KdPH5UvX16PPfaYJGnt2rVq27at/P39FR4erqFDhyo7O9u634yMDHXr1k3+/v6qUaOGPvroowJtX9ql6bffflOvXr1UqVIllSlTRlFRUfrxxx81Z84cjRkzRlu3bpXJZJLJZNKcOXPs7mPbtm1q3769/P39VblyZT322GM6e/as9fW+ffuqe/fueu211xQSEqLKlSsrISFB58+fd+JRBeAu3LkoIbZu3eruEAq1cOFCd4dQ4tx7773uDqFQp0+fdncIwA3nvffe04ABA7Rx40Zt3rxZjz32mKpVq6ZBgwZJkl577TWNGjVKycnJkqRff/1VnTt31ssvv6xZs2bpxIkT1gRl9uzZkv75Ev/7779r1apVKlWqlIYOHaqMjIxCYzh79qzatWunsLAwffnllwoODtaWLVtksVjUs2dPbd++XUuXLtWKFSskSQEBAQX2kZ2drbi4OMXExGjTpk3KyMjQwIEDlZiYaE1GJGnVqlUKCQnRqlWrtG/fPvXs2VORkZHW9wug5CK5AADAzcLDw/X666/LZDKpXr162rZtm15//XXrl+327dvr3//+t7X+wIED1bt3bw0fPlySVKdOHb355ptq166dpk6dqsOHD2vJkiXauHGjbr75ZknSzJkz1aBBg0JjmDt3rk6cOKFNmzapUqVKkqTatWtbXy9btqx8fHwu2w1q7ty5+vvvv/X++++rTJkykqTJkyerW7duGj9+vIKCgiRJFStW1OTJk+Xt7a369eura9euWrlyJckFcB2gWxQAAG52yy23yHTRbFMxMTHau3ev8vLyJElRUVE29bdu3ao5c+aobNmy1iUuLk4Wi0UHDhzQzp075ePjo5YtW1q3qV+/vipUqFBoDGlpaWrevLk1sSiKnTt3qlmzZtbEQpLatGkji8Wi3bt3W8saNWokb29v63pISMhl76oAKDm4cwEAgIe7+Mu69E8XpsGDB2vo0KEF6larVk179uxxuA1/f/8ix+eoUqVK2aybTCZZLBaXtQ+g+HDnAgAAN/vxxx9t1jds2KA6derY/Lp/sRYtWmjHjh2qXbt2gcXX11f169fXhQsXlJqaat1m9+7dlx1T1bRpU6WlpenUqVN2X/f19bXeSSlMgwYNtHXrVpuB5T/88IO8vLxUr169y24L4PpAcgEAgJsdPnxYI0eO1O7du/Xxxx/rrbfe0rBhwwqt/8wzz2jdunVKTExUWlqa9u7dqy+++EKJiYmSpHr16qlz584aPHiwfvzxR6WmpmrgwIGXvTvRq1cvBQcHq3v37vrhhx+0f/9+ffbZZ1q/fr2kf2atOnDggNLS0nTy5Enl5OQU2Efv3r3l5+en+Ph4bd++XatWrdK//vUvPfroo9bxFgCubyQXAIDrm2G4bimiPn366K+//lKrVq2UkJCgYcOGWaectadp06Zas2aN9uzZo7Zt26p58+YaNWqUQkNDrXVmz56t0NBQtWvXTvfdd58ee+wxBQYGFrpPX19fffvttwoMDNSdd96pJk2aaNy4cda7J/fff786d+6s22+/XVWrVtXHH39cYB+lS5fWsmXLdOrUKd1888164IEH1KFDB02ePLnIxwZAyWIyjGs4GxZBVlaWAgIClJmZqfLly7uy6RLt4oF+noapaB3nyVPReurn2b17d3eHUADnM9e63PH++++/deDAAdWoUUN+fn5uirBoYmNjFRkZqUmTJrk7FI9Vkj9feL6IZ792STsHx3V1STvFwZHrHXcuAAAAADgFyQUAAAAAp2AqWgAA3Gj16tXuDgEAnIY7FwAAAACcguQCAHDdcPEcJXARPleg5CC5AACUePlPfD537pybI0FxyP9cL32yNwDPw5gLAECJ5+3trQoVKigjI0PSP89b8OQpvHF1DMPQuXPnlJGRoQoVKhT6xHIAnoPkAgBwXQgODpYka4KB60eFChWsny8Az+ZwcvH999/rv//9r1JTU3Xs2DEtXLjQIx9uBQC4sZhMJoWEhCgwMFDnz593dzhwklKlSnHHAihBHE4usrOz1axZM/Xv31/33XdfccQEAECReXt782UUANzE4eSiS5cu6tKly1XXz8nJUU5OjnU9KyvL0SYBAAAAlADFPltUSkqKAgICrEt4eHhxNwkAAADADYo9uUhKSlJmZqZ1OXLkSHE3CQAAAMANin22KLPZLLPZXNzNAAAAAHAzHqIHAAAAwClILgAAAAA4hcPdos6ePat9+/ZZ1w8cOKC0tDRVqlRJ1apVc2pwAAAAAEoOh5OLzZs36/bbb7eujxw5UpIUHx+vOXPmOC0wAAAAACWLw8lFbGysDMMojlgAAAAAlGCMuQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAQJFMmTJFERER8vPzU3R0tDZu3HjZ+pMmTVK9evXk7++v8PBwjRgxQn///beLogUAuALJBQDAYfPnz9fIkSOVnJysLVu2qFmzZoqLi1NGRobd+nPnztWzzz6r5ORk7dy5UzNnztT8+fP13HPPuThyAEBxIrkAADhs4sSJGjRokPr166eGDRtq2rRpKl26tGbNmmW3/rp169SmTRs9/PDDioiIUKdOndSrV68r3u0AAJQsJBcAAIfk5uYqNTVVHTt2tJZ5eXmpY8eOWr9+vd1tWrdurdTUVGsysX//fn3zzTe68847C20nJydHWVlZNgsAwLM5/BA9AMCN7eTJk8rLy1NQUJBNeVBQkHbt2mV3m4cfflgnT57UrbfeKsMwdOHCBQ0ZMuSy3aJSUlI0ZswYp8YOAChe3LkAABS71atXa+zYsXr77be1ZcsWff755/r666/10ksvFbpNUlKSMjMzrcuRI0dcGDEAoCi4cwEAcEiVKlXk7e2t48eP25QfP35cwcHBdrd54YUX9Oijj2rgwIGSpCZNmig7O1uPPfaYnn/+eXl5Ffyty2w2y2w2O/8NAACKDXcuAAAO8fX1VcuWLbVy5UprmcVi0cqVKxUTE2N3m3PnzhVIILy9vSVJhmEUX7AAAJfizkUJ0axZM3eHUKiDBw+6OwS7Ro8e7e4QCrVq1Sp3h1Co2NhYd4eAEmDkyJGKj49XVFSUWrVqpUmTJik7O1v9+vWTJPXp00dhYWFKSUmRJHXr1k0TJ05U8+bNFR0drX379umFF15Qt27drEkGAKDkI7kAADisZ8+eOnHihEaNGqX09HRFRkZq6dKl1kHehw8ftrlT8Z///Ecmk0n/+c9/dPToUVWtWlXdunXTK6+84q63AAAoBiQXAIAiSUxMVGJiot3XVq9ebbPu4+Oj5ORkJScnuyAyAIC7MOYCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwCkcSi5SUlJ08803q1y5cgoMDFT37t21e/fu4ooNAAAAQAniUHKxZs0aJSQkaMOGDVq+fLnOnz+vTp06KTs7u7jiAwAAAFBC+DhSeenSpTbrc+bMUWBgoFJTU3Xbbbc5NTAAAAAAJYtDycWlMjMzJUmVKlUqtE5OTo5ycnKs61lZWdfSJAAAAAAPVeQB3RaLRcOHD1ebNm3UuHHjQuulpKQoICDAuoSHhxe1SQAAAAAerMjJRUJCgrZv36558+Zdtl5SUpIyMzOty5EjR4raJAAAAAAPVqRuUYmJiVq8eLG+//573XTTTZetazabZTabixQcAAAAgJLDoeTCMAz961//0sKFC7V69WrVqFGjuOICAAAAUMI4lFwkJCRo7ty5+uKLL1SuXDmlp6dLkgICAuTv718sAQIAAAAoGRwaczF16lRlZmYqNjZWISEh1mX+/PnFFR8AAACAEsLhblEAAAAAYE+RZ4sCAAAAgIuRXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwCl83B0Ark5ERIS7QyjUiBEj3B2CXQcOHHB3CIXy5M8TAAC4kMnkmnYMwyXNcOcCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAARTJlyhRFRETIz89P0dHR2rhx42Xrnz59WgkJCQoJCZHZbFbdunX1zTffuChaAIAr+Lg7AABAyTN//nyNHDlS06ZNU3R0tCZNmqS4uDjt3r1bgYGBBern5ubqjjvuUGBgoBYsWKCwsDAdOnRIFSpUcH3wAIBiQ3IBAHDYxIkTNWjQIPXr10+SNG3aNH399deaNWuWnn322QL1Z82apVOnTmndunUqVaqUJCkiIsKVIQMAXMChblFTp05V06ZNVb58eZUvX14xMTFasmRJccUGAPBAubm5Sk1NVceOHa1lXl5e6tixo9avX293my+//FIxMTFKSEhQUFCQGjdurLFjxyovL6/QdnJycpSVlWWzAAA8m0PJxU033aRx48YpNTVVmzdvVvv27XXPPffol19+Ka74AAAe5uTJk8rLy1NQUJBNeVBQkNLT0+1us3//fi1YsEB5eXn65ptv9MILL2jChAl6+eWXC20nJSVFAQEB1iU8PNyp7wMA4HwOdYvq1q2bzforr7yiqVOnasOGDWrUqJHdbXJycpSTk2Nd55cnALjxWCwWBQYGavr06fL29lbLli119OhR/fe//1VycrLdbZKSkjRy5EjrelZWFgkGAHi4Io+5yMvL06effqrs7GzFxMQUWi8lJUVjxowpajMAAA9TpUoVeXt76/jx4zblx48fV3BwsN1tQkJCVKpUKXl7e1vLGjRooPT0dOXm5srX17fANmazWWaz2bnBAwCKlcNT0W7btk1ly5aV2WzWkCFDtHDhQjVs2LDQ+klJScrMzLQuR44cuaaAAQDu5evrq5YtW2rlypXWMovFopUrVxb6Y1ObNm20b98+WSwWa9mePXsUEhJiN7EAAJRMDicX9erVU1pamn788Uc9/vjjio+P144dOwqtbzabrQPA8xcAQMk2cuRIzZgxQ++995527typxx9/XNnZ2dbZo/r06aOkpCRr/ccff1ynTp3SsGHDtGfPHn399dcaO3asEhIS3PUWAADFwOFuUb6+vqpdu7YkqWXLltq0aZPeeOMNvfPOO04PDgDgmXr27KkTJ05o1KhRSk9PV2RkpJYuXWod5H348GF5ef3f71fh4eFatmyZRowYoaZNmyosLEzDhg3TM8884663AAAoBtf8nAuLxWIzYBsAcGNITExUYmKi3ddWr15doCwmJkYbNmwo5qgAAO7kUHKRlJSkLl26qFq1ajpz5ozmzp2r1atXa9myZcUVHwAAAIASwqHkIiMjQ3369NGxY8cUEBCgpk2batmyZbrjjjuKKz4AAAAAJYRDycXMmTOLKw4AAAAAJZzDs0UBAAAAgD0kFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAofdwfgaQ4ePOjuEOzy1LgkKT4+3t0h2LV69Wp3h1Covn37ujsEAAAAp+POBQAAAACnILkAAAAA4BQkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOcU3Jxbhx42QymTR8+HAnhQMAAACgpCpycrFp0ya98847atq0qTPjAQAAAFBCFSm5OHv2rHr37q0ZM2aoYsWKzo4JAAAAQAlUpOQiISFBXbt2VceOHa9YNycnR1lZWTYLAAAAgOuPj6MbzJs3T1u2bNGmTZuuqn5KSorGjBnjcGAAAAAAShaH7lwcOXJEw4YN00cffSQ/P7+r2iYpKUmZmZnW5ciRI0UKFAAAAIBnc+jORWpqqjIyMtSiRQtrWV5enr7//ntNnjxZOTk58vb2ttnGbDbLbDY7J1oAAAAAHsuh5KJDhw7atm2bTVm/fv1Uv359PfPMMwUSCwAAAAA3DoeSi3Llyqlx48Y2ZWXKlFHlypULlAMAAAC4sfCEbgAAAABO4fBsUZdavXq1E8IAAAAAUNJx5wIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOAXJBQAAAACnILkAABTJlClTFBERIT8/P0VHR2vjxo1Xtd28efNkMpnUvXv34g0QAOByJBcAAIfNnz9fI0eOVHJysrZs2aJmzZopLi5OGRkZl93u4MGDevLJJ9W2bVsXRQoAcCWSCwCAwyZOnKhBgwapX79+atiwoaZNm6bSpUtr1qxZhW6Tl5en3r17a8yYMapZs6YLowUAuArJBQDAIbm5uUpNTVXHjh2tZV5eXurYsaPWr19f6HYvvviiAgMDNWDAgKtqJycnR1lZWTYLAMCzkVwAABxy8uRJ5eXlKSgoyKY8KChI6enpdrdZu3atZs6cqRkzZlx1OykpKQoICLAu4eHh1xQ3AKD4kVwAAIrVmTNn9Oijj2rGjBmqUqXKVW+XlJSkzMxM63LkyJFijBIA4Aw+7g7A08yZM8fdIdg1evRod4dQqNjYWHeHYFdERIS7QyhU37593R0CUGRVqlSRt7e3jh8/blN+/PhxBQcHF6j/66+/6uDBg+rWrZu1zGKxSJJ8fHy0e/du1apVq8B2ZrNZZrPZydEDAIoTdy4AAA7x9fVVy5YttXLlSmuZxWLRypUrFRMTU6B+/fr1tW3bNqWlpVmXu+++W7fffrvS0tLo7gQA1xHuXAAAHDZy5EjFx8crKipKrVq10qRJk5Sdna1+/fpJkvr06aOwsDClpKTIz89PjRs3ttm+QoUKklSgHABQspFcAAAc1rNnT504cUKjRo1Senq6IiMjtXTpUusg78OHD8vLi5vjAHCjIbkAABRJYmKiEhMT7b62evXqy27rqePbAADXhp+VAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFA4lF6NHj5bJZLJZ6tevX1yxAQAAAChBfBzdoFGjRlqxYsX/7cDH4V0AAAAAuA45nBn4+PgoODj4quvn5OQoJyfHup6VleVokwAAAABKAIfHXOzdu1ehoaGqWbOmevfurcOHD1+2fkpKigICAqxLeHh4kYMFAAAA4LkcSi6io6M1Z84cLV26VFOnTtWBAwfUtm1bnTlzptBtkpKSlJmZaV2OHDlyzUEDAAAA8DwOdYvq0qWL9d9NmzZVdHS0qlevrk8++UQDBgywu43ZbJbZbL62KAEAAAB4vGuairZChQqqW7eu9u3b56x4AAAAAJRQ15RcnD17Vr/++qtCQkKcFQ8AAACAEsqh5OLJJ5/UmjVrdPDgQa1bt0733nuvvL291atXr+KKDwAAAEAJ4dCYi99++029evXSH3/8oapVq+rWW2/Vhg0bVLVq1eKKDwAAAEAJ4VByMW/evOKKAwAAAEAJd01jLgAAAAAgH8kFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOAXJBQAAAACnILkAAAAA4BQkFwAAAACcwsfdAXiayMhId4dgV1pamrtDKFRsbKy7Q7ArMzPT3SEAAADcULhzAQAAAMApSC4AAAAAOAXJBQAAAACnILkAAAAA4BQkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgBQJFOmTFFERIT8/PwUHR2tjRs3Flp3xowZatu2rSpWrKiKFSuqY8eOl60PACiZHE4ujh49qkceeUSVK1eWv7+/mjRpos2bNxdHbAAADzV//nyNHDlSycnJ2rJli5o1a6a4uDhlZGTYrb969Wr16tVLq1at0vr16xUeHq5OnTrp6NGjLo4cAFCcHEou/vzzT7Vp00alSpXSkiVLtGPHDk2YMEEVK1YsrvgAAB5o4sSJGjRokPr166eGDRtq2rRpKl26tGbNmmW3/kcffaQnnnhCkZGRql+/vt59911ZLBatXLnSxZEDAIqTjyOVx48fr/DwcM2ePdtaVqNGDacHBQDwXLm5uUpNTVVSUpK1zMvLSx07dtT69euvah/nzp3T+fPnValSpULr5OTkKCcnx7qelZVV9KABAC7h0J2LL7/8UlFRUXrwwQcVGBio5s2ba8aMGZfdJicnR1lZWTYLAKDkOnnypPLy8hQUFGRTHhQUpPT09KvaxzPPPKPQ0FB17Nix0DopKSkKCAiwLuHh4dcUNwCg+DmUXOzfv19Tp05VnTp1tGzZMj3++OMaOnSo3nvvvUK34eIAALjYuHHjNG/ePC1cuFB+fn6F1ktKSlJmZqZ1OXLkiAujBAAUhUPdoiwWi6KiojR27FhJUvPmzbV9+3ZNmzZN8fHxdrdJSkrSyJEjretZWVkkGABQglWpUkXe3t46fvy4Tfnx48cVHBx82W1fe+01jRs3TitWrFDTpk0vW9dsNstsNl9zvAAA13HozkVISIgaNmxoU9agQQMdPny40G3MZrPKly9vswAASi5fX1+1bNnSZjB2/uDsmJiYQrd79dVX9dJLL2np0qWKiopyRagAABdz6M5FmzZttHv3bpuyPXv2qHr16k4NCgDg2UaOHKn4+HhFRUWpVatWmjRpkrKzs9WvXz9JUp8+fRQWFqaUlBRJ/0wIMmrUKM2dO1cRERHWsRlly5ZV2bJl3fY+AADO5VByMWLECLVu3Vpjx45Vjx49tHHjRk2fPl3Tp08vrvgAAB6oZ8+eOnHihEaNGqX09HRFRkZq6dKl1kHehw8flpfX/90cnzp1qnJzc/XAAw/Y7Cc5OVmjR492ZegAgGLkUHJx8803a+HChUpKStKLL76oGjVqaNKkSerdu3dxxQcA8FCJiYlKTEy0+9rq1att1g8ePFj8AQEA3M6h5EKS7rrrLt11113FEQsAAACAEsyhAd0AAAAAUBiH71wAAADACUwm17RjGK5pBxB3LgAAAAA4CckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOAXJBQAAAACn8HF3AJ4mNjbW3SHYtWjRIneHUKiKFSu6OwS7kpOT3R0CAADADYU7FwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBT+Lg7AAAAcIMxmVzTjmG4ph0AVty5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqHkouIiAiZTKYCS0JCQnHFBwAAAKCEcGi2qE2bNikvL8+6vn37dt1xxx168MEHnR4YAAAAgJLFoeSiatWqNuvjxo1TrVq11K5du0K3ycnJUU5OjnU9KyvLwRABAAAAlARFHnORm5urDz/8UP3795fpMvNVp6SkKCAgwLqEh4cXtUkAAAAAHqzIycWiRYt0+vRp9e3b97L1kpKSlJmZaV2OHDlS1CYBAAAAeLAiP6F75syZ6tKli0JDQy9bz2w2y2w2F7UZAAAAACVEkZKLQ4cOacWKFfr888+dHQ8AAACAEqpI3aJmz56twMBAde3a1dnxAAAAACihHE4uLBaLZs+erfj4ePn4FLlXFQAAAIDrjMPJxYoVK3T48GH179+/OOIBAAAAUEI5fOuhU6dOMgyjOGIBAAAAUIIVeSpaAAAAALgYgyYAAABwwzo4/i7XNDTuxuj5w50LAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAAp2BANwAAANzDZHJNOzxGwWW4cwEAAADAKUguAABFMmXKFEVERMjPz0/R0dHauHHjZet/+umnql+/vvz8/NSkSRN98803LooUAOAqJBcAAIfNnz9fI0eOVHJysrZs2aJmzZopLi5OGRkZduuvW7dOvXr10oABA/TTTz+pe/fu6t69u7Zv3+7iyAEAxYnkAgDgsIkTJ2rQoEHq16+fGjZsqGnTpql06dKaNWuW3fpvvPGGOnfurKeeekoNGjTQSy+9pBYtWmjy5MkujtwDmEyuWTw9BrgffwcoBi4f0G38/wE1WVlZrm76qnhqXLm5ue4OocTJyclxdwiF8tS/Mzgm/3M0brCBgrm5uUpNTVVSUpK1zMvLSx07dtT69evtbrN+/XqNHDnSpiwuLk6LFi0qtJ2cnByb/8eZmZmSrvH/T0BA0bd1xP+P1a084Tzj7hgu1z5/CzdO+8Rwze07cr1zeXJx5swZSVJ4eLirm8YNZty4ce4OoVCeHBscd+bMGQW46ouKBzh58qTy8vIUFBRkUx4UFKRdu3bZ3SY9Pd1u/fT09ELbSUlJ0ZgxYwqUl4jrhyf8PRCD+9snBs9onxic1v7VXO9cnlyEhobqyJEjKleunEzXeKssKytL4eHhOnLkiMqXL++kCK9vHDPHccwcd6McM8MwdObMGYWGhro7lOtSUlKSzd0Oi8WiU6dOqXLlytd8/bhanvC3TAzub58YPKN9YnBf+45c71yeXHh5eemmm25y6j7Lly9/XX+BKQ4cM8dxzBx3IxyzG+mORb4qVarI29tbx48ftyk/fvy4goOD7W4THBzsUH1JMpvNMpvNNmUVKlQoWtDXyBP+lonB/e0Tg2e0Twzuaf9qr3cM6AYAOMTX11ctW7bUypUrrWUWi0UrV65UTEyM3W1iYmJs6kvS8uXLC60PACiZeEI3AMBhI0eOVHx8vKKiotSqVStNmjRJ2dnZ6tevnySpT58+CgsLU0pKiiRp2LBhateunSZMmKCuXbtq3rx52rx5s6ZPn+7OtwEAcLISnVyYzWYlJycXuG2OwnHMHMcxcxzH7PrXs2dPnThxQqNGjVJ6eroiIyO1dOlS66Dtw4cPy8vr/26Ot27dWnPnztV//vMfPffcc6pTp44WLVqkxo0bu+stXBVP+FsmBve3Twye0T4xeEb7V2IybrQ5FAEAAAAUC8ZcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOEWJTS6mTJmiiIgI+fn5KTo6Whs3bnR3SB4rJSVFN998s8qVK6fAwEB1795du3fvdndYJcq4ceNkMpk0fPhwd4fi0Y4ePapHHnlElStXlr+/v5o0aaLNmze7OyygyNx5rfn+++/VrVs3hYaGymQyadGiRS5rW/KMa8fUqVPVtGlT68PCYmJitGTJEpfGcDF3XAtGjx4tk8lks9SvX99l7edz9/k9IiKiwHEwmUxKSEhwSft5eXl64YUXVKNGDfn7+6tWrVp66aWX5Op5kc6cOaPhw4erevXq8vf3V+vWrbVp0yaXxnAlJTK5mD9/vkaOHKnk5GRt2bJFzZo1U1xcnDIyMtwdmkdas2aNEhIStGHDBi1fvlznz59Xp06dlJ2d7e7QSoRNmzbpnXfeUdOmTd0dikf7888/1aZNG5UqVUpLlizRjh07NGHCBFWsWNHdoQFF4u5rTXZ2tpo1a6YpU6a4pL1LecK146abbtK4ceOUmpqqzZs3q3379rrnnnv0yy+/uCyGfO68FjRq1EjHjh2zLmvXrnVp+55wft+0aZPNMVi+fLkk6cEHH3RJ++PHj9fUqVM1efJk7dy5U+PHj9err76qt956yyXt5xs4cKCWL1+uDz74QNu2bVOnTp3UsWNHHT161KVxXJZRArVq1cpISEiwrufl5RmhoaFGSkqKG6MqOTIyMgxJxpo1a9wdisc7c+aMUadOHWP58uVGu3btjGHDhrk7JI/1zDPPGLfeequ7wwCcxpOuNZKMhQsXurzdi3nKtaNixYrGu+++69I23XktSE5ONpo1a+ay9uzxxPP7sGHDjFq1ahkWi8Ul7XXt2tXo37+/Tdl9991n9O7d2yXtG4ZhnDt3zvD29jYWL15sU96iRQvj+eefd1kcV1Li7lzk5uYqNTVVHTt2tJZ5eXmpY8eOWr9+vRsjKzkyMzMlSZUqVXJzJJ4vISFBXbt2tfl7g31ffvmloqKi9OCDDyowMFDNmzfXjBkz3B0WUCRcawpy97UjLy9P8+bNU3Z2tmJiYlzatruvBXv37lVoaKhq1qyp3r176/Dhwy5t39PO77m5ufrwww/Vv39/mUwml7TZunVrrVy5Unv27JEkbd26VWvXrlWXLl1c0r4kXbhwQXl5efLz87Mp9/f3d/ndrMspcU/oPnnypPLy8qxPgc0XFBSkXbt2uSmqksNisWj48OFq06aNxz8Z193mzZunLVu2eFxfRk+1f/9+TZ06VSNHjtRzzz2nTZs2aejQofL19VV8fLy7wwMcwrXGljuvHdu2bVNMTIz+/vtvlS1bVgsXLlTDhg1d1r67rwXR0dGaM2eO6tWrp2PHjmnMmDFq27attm/frnLlyrkkBk87vy9atEinT59W3759Xdbms88+q6ysLNWvX1/e3t7Ky8vTK6+8ot69e7sshnLlyikmJkYvvfSSGjRooKCgIH388cdav369ateu7bI4rqTEJRe4NgkJCdq+fbtHZbie6MiRIxo2bJiWL19e4BcC2GexWBQVFaWxY8dKkpo3b67t27dr2rRpJBdACefOa0e9evWUlpamzMxMLViwQPHx8VqzZo1LEgxPuBZc/Mt406ZNFR0drerVq+uTTz7RgAEDXBKDp53fZ86cqS5duig0NNRlbX7yySf66KOPNHfuXDVq1EhpaWkaPny4QkNDXXoMPvjgA/Xv319hYWHy9vZWixYt1KtXL6Wmproshispcd2iqlSpIm9vbx0/ftym/Pjx4woODnZTVCVDYmKiFi9erFWrVummm25ydzgeLTU1VRkZGWrRooV8fHzk4+OjNWvW6M0335SPj4/y8vLcHaLHCQkJKXCxb9Cggctv3wPOwLXm/7j72uHr66vatWurZcuWSklJUbNmzfTGG2+4pG1PvBZUqFBBdevW1b59+1zWpied3w8dOqQVK1Zo4MCBLm33qaee0rPPPquHHnpITZo00aOPPqoRI0YoJSXFpXHUqlVLa9as0dmzZ3XkyBFt3LhR58+fV82aNV0ax+WUuOTC19dXLVu21MqVK61lFotFK1eudHkfzJLCMAwlJiZq4cKF+u6771SjRg13h+TxOnTooG3btiktLc26REVFqXfv3kpLS5O3t7e7Q/Q4bdq0KTBN5Z49e1S9enU3RQQUHdcaz712WCwW5eTkuKQtT7wWnD17Vr/++qtCQkJc1qYnnd9nz56twMBAde3a1aXtnjt3Tl5etl+bvb29ZbFYXBpHvjJlyigkJER//vmnli1bpnvuucctcdhTIrtFjRw5UvHx8YqKilKrVq00adIkZWdnq1+/fu4OzSMlJCRo7ty5+uKLL1SuXDmlp6dLkgICAuTv7+/m6DxTuXLlCvQrLlOmjCpXrsxYlUKMGDFCrVu31tixY9WjRw9t3LhR06dP1/Tp090dGlAk7r7WnD171ubX6QMHDigtLU2VKlVStWrVir19T7h2JCUlqUuXLqpWrZrOnDmjuXPnavXq1Vq2bJlL2veEa8GTTz6pbt26qXr16vr999+VnJwsb29v9erVyyXtS55zfrdYLJo9e7bi4+Pl4+Par7DdunXTK6+8omrVqqlRo0b66aefNHHiRPXv39+lcSxbtkyGYahevXrat2+fnnrqKdWvX9+zvgO7ebaqInvrrbeMatWqGb6+vkarVq2MDRs2uDskjyXJ7jJ79mx3h1aiMBXtlX311VdG48aNDbPZbNSvX9+YPn26u0MCrok7rzWrVq2ye+6Oj493SfuecO3o37+/Ub16dcPX19eoWrWq0aFDB+Pbb791Wfv2uPpa0LNnTyMkJMTw9fU1wsLCjJ49exr79u1zWfv5POH8vmzZMkOSsXv3bpe3nZWVZQwbNsyoVq2a4efnZ9SsWdN4/vnnjZycHJfGMX/+fKNmzZqGr6+vERwcbCQkJBinT592aQxXYjIMFz9aEAAAAMB1qcSNuQAAAADgmUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAADw/5lMJi1atOiq669evVomk0mnT592ahwRERGaNGmSU/cJuALJBQAAuK717dtXJpNJJpNJpUqVUlBQkO644w7NmjVLFovFpu6xY8fUpUuXq95369atdezYMQUEBEiS5syZowoVKjgzfKBEIbkAAADXvc6dO+vYsWM6ePCglixZottvv13Dhg3TXXfdpQsXLljrBQcHy2w2X/V+fX19FRwcLJPJVBxhAyUOyQUAALjumc1mBQcHKywsTC1atNBzzz2nL774QkuWLNGcOXOs9S7tFrVu3TpFRkbKz89PUVFRWrRokUwmk9LS0iTZdotavXq1+vXrp8zMTOudktGjRxca01dffaWbb75Zfn5+qlKliu69995C606cOFFNmjRRmTJlFB4erieeeEJnz561vn7o0CF169ZNFStWVJkyZdSoUSN98803kqQ///xTvXv3VtWqVeXv7686depo9uzZRTqOwJX4uDsAAAAAd2jfvr2aNWumzz//XAMHDizwelZWlrp166Y777xTc+fO1aFDhzR8+PBC99e6dWtNmjRJo0aN0u7duyVJZcuWtVv366+/1r333qvnn39e77//vnJzc63JgD1eXl568803VaNGDe3fv19PPPGEnn76ab399tuSpISEBOXm5ur7779XmTJltGPHDmvbL7zwgnbs2KElS5aoSpUq2rdvn/7666+rPUyAQ0guAADADat+/fr6+eef7b42d+5cmUwmzZgxQ35+fmrYsKGOHj2qQYMG2a3v6+urgIAAmUwmBQcHX7bdV155RQ899JDGjBljLWvWrFmh9S9OaiIiIvTyyy9ryJAh1uTi8OHDuv/++9WkSRNJUs2aNa31Dx8+rObNmysqKsq6PVBc6BYFAABuWIZhFDpeYvfu3WratKn8/PysZa1atXJKu2lpaerQocNV11+xYoU6dOigsLAwlStXTo8++qj++OMPnTt3TpI0dOhQvfzyy2rTpo2Sk5NtEqbHH39c8+bNU2RkpJ5++mmtW7fOKe8BsIfkAgAA3LB27typGjVquLxdf3//q6578OBB3XXXXWratKk+++wzpaamasqUKZKk3NxcSdLAgQO1f/9+Pfroo9q2bZuioqL01ltvSZK6dOmiQ4cOacSIEfr999/VoUMHPfnkk85/U4BILgAAwA3qu+++07Zt23T//ffbfb1evXratm2bcnJyrGWbNm267D59fX2Vl5d3xbabNm2qlStXXlWcqampslgsmjBhgm655RbVrVtXv//+e4F64eHhGjJkiD7//HP9+9//1owZM6yvVa1aVfHx8frwww81adIkTZ8+/araBhxFcgEAAK57OTk5Sk9P19GjR7VlyxaNHTtW99xzj+666y716dPH7jYPP/ywLBaLHnvsMe3cuVPLli3Ta6+9JkmFdqWKiIjQ2bNntXLlSp08edLabelSycnJ+vjjj5WcnKydO3dq27ZtGj9+vN26tWvX1vnz5/XWW29p//79+uCDDzRt2jSbOsOHD9eyZct04MABbdmyRatWrVKDBg0kSaNGjdIXX3yhffv26ZdfftHixYutrwHORnIBAACue0uXLlVISIgiIiLUuXNnrVq1Sm+++aa++OILeXt7292mfPny+uqrr5SWlqbIyEg9//zzGjVqlCTZjMO4WOvWrTVkyBD17NlTVatW1auvvmq3XmxsrD799FN9+eWXioyMVPv27bVx40a7dZs1a6aJEydq/Pjxaty4sT766COlpKTY1MnLy1NCQoIaNGigzp07q27dutbB3r6+vkpKSlLTpk112223ydvbW/Pmzbuq4wY4ymQYhuHuIAAAAEqCjz76yPosC0fGTQA3CqaiBQAAKMT777+vmjVrKiwsTFu3btUzzzyjHj16kFgAhSC5AAAAKER6erpGjRql9PR0hYSE6MEHH9Qrr7zi7rAAj0W3KAAAAABOwYBuAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcIr/B5aA1eBrjmfiAAAAAElFTkSuQmCC", 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\n" 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L1rJLM/uMjAydOnVKbdq00YEDB5SRkSFJWr16tS5evKgnnnjCZn9PPvlkkb9Hb29v621Ni8Wi06dP6+LFi4qKitK2bdvy1e/WrZtCQ0Ot6y1atFB0dLR1mrnTp0/r22+/Vffu3XX27FlrfH/88YdiY2O1b9++ArsMSP/cjTAM45pmKTGbzapTp44eeOABffTRR/rggw8UFRWlRx55RJs2bXLoOAD/NmfPnpUklS1b9or18l7P6wbkTJfevZX+d85z1bSVJUqU0KBBg6zrPj4+GjRokNLT05WSkmJTNy4uzuZ8vnXrVqWnp+uJJ56w6V/fpUsX1atXz+7dnkunjs37lT8nJ0erVq2yll/axp9//qmMjAy1bt3a7vk4JiZGzZs3t65XrVpV99xzj1asWKHc3NxrPQzXxTAMffrpp+ratasMw7C5LsXGxiojI8Mae/ny5fXbb7/l645zNX/88YckqUKFCnZfDwkJsbkjXq5cOfXu3Vs//vij0tLSbOoOHDjQZgzKypUrdebMGfXs2dMmdm9vb0VHR1u7CB8/flypqamKi4uTv7+/dfs77rhDDRo0uGL8FotFS5YsUdeuXRUVFZXv9cu7el2Lr7/+WkFBQerZs6e1rGTJkhoyZIjOnTundevW2dTv0aOHzfHLu1t54MABa1l4eLgMw7jqlMReXl4aNGiQVq9ercTERO3bt08pKSnq3r27cnJyJP1zZ+VSeW1fS5dnT0K3qBtAaGjodQ1a2rdvn37++ecCb4Wnp6cXar9Vq1a1Wc87sYSFheUrt1gsysjIUKVKlSRJ33//vZKSkrRx40adP3/epn5GRob8/f2tc3bXqlXL5vWKFSvmO5kWxXt89913NWHCBO3evVsXLlywllevXj1f3dq1a+crq1OnjrUb0v79+2UYhkaOHFng1HPp6ek2CUphJSQkaNOmTdq2bZt1YGX37t3VsGFDDR06VD/88MN1twHcqPKShrwkoyDXmoQUxuXnk5o1a8rLy8tlU3GGhITkG9Bbp04dSf/0Vb908PDl58O883bdunXz7bdevXpav369TZmXl1e+QfGXtpVn6dKlevnll5Wammozhs/eF9CCzsfnz5/XyZMnbbqlFJWTJ0/qzJkzmjlzpmbOnGm3Tt516dlnn9WqVavUokUL1apVSx07dtTDDz+sVq1aXVNbRgH99WvVqpXv+Fx6bC89Dpd/jvv27ZOkAgcalytXTtL/Pm97x7xu3bp2k788J0+eVGZmplO7Ax0+fFi1a9fON6lAXjeqy58Fcvn3mLzvFn/++Weh2n/xxRd16tQpvfrqqxo3bpwkqWPHjurfv79mzJiR77kueZ9dYRIpdyK5uAE4Ogj38l9mLBaL7rjjDj3zzDN26+edbBxV0EwbBZXn/Sf69ddf1b59e9WrV08TJ05UWFiYfHx89PXXX+uNN94o1ABsZ7/HDz74QH369FG3bt309NNPKyAgQN7e3kpOTtavv/5aqPgk6amnnlJsbKzdOpcnUYWRk5Oj2bNn65lnnrE5uZYsWVKdO3fW1KlTlZOT43EzbACewt/fX8HBwfr555+vWO/nn39WaGio9UtWQV8OnPFL+eX7Lsq2HOWKSSL++9//6u6779Ztt92mt956S8HBwSpZsqTmzp17TYOe3SHvnP/II48oLi7Obp0mTZpI+ueL7549e7R06VItX75cn376qd566y2NGjVKY8aMKbCNvB/rCvtF+FKXf4558b///vt2kzFXT7lbVK72fcVRPj4+euedd/TKK69o7969CgwMVJ06dfTwww/Ly8sr33U+77PLGw9VXNwYnz7sqlChQr4HI+Xk5OSb0aBmzZo6d+6cOnTo4MLoCvbll18qOztbX3zxhc2vBpfPxJT3QKD9+/fb/Kryxx9/5DuZOvs9Llq0SDVq1NBnn31mcyFPSkqyWz/vV55L7d271zrgLe+XuZIlSxbp5/DHH3/o4sWLdr9kXLhwQRaLxS1fQIDi5K677tKsWbO0fv163Xrrrfle/+9//6tDhw7ZdB2ydz6W8v9SKl39V8p9+/bZnPP2798vi8ViPZ/k/bp6eXuFacue33//Pd90pHv37pUkuzNiXSrvvL1nz558v3rv2bMn34PeLBaLDhw4YPMD0OVtffrpp/L19dWKFStsZsGbO3eu3RgKOh+XKlXqqoPZr+Zaj2eVKlVUtmxZ5ebmXtM5v3Tp0urRo4d69OihnJwc3XfffXrllVeUmJhY4PSt9erVkyQdPHjQ7ut5d8wvjflaP8e8SQYCAgKuGH/e52nvmO/Zs+eKbVSpUkXlypWzO7PipRz5G65WrZp+/vlnWSwWmx/Ydu/ebRNvUQsMDLRO5pKbm6u1a9cqOjo6352LvM/O3c8zcxRjLm5gNWvWzDeWYObMmfm+PHbv3l0bN27UihUr8u3jzJkzNmMhXCHvl4JLfxnIyMjId6Fo3769SpQokW+K2qlTp+bbp7Pfo70Yf/jhB23cuNFu/SVLltiMmdi8ebN++OEHde7cWdI/J+i2bdvq7bfftjud3cmTJ68Yz7VORRsQEKDy5ctr8eLF1j6eknTu3Dl9+eWXqlevHtPRAlfx9NNPy8/PT4MGDbL2a89z+vRpDR48WKVKlbJO8yr9cz7OyMiwueNx/Phxu1Nyli5d+opPzM6b7jTPlClTJMl6PilXrpwqV66c7/z/1ltv2W1Lyp+IXMnFixf19ttvW9dzcnL09ttvq0qVKjZjGeyJiopSQECAZsyYYdN9admyZdq1a1e+mZ0k23O6YRiaOnWqSpYsqfbt20v653xsMplsrm2HDh0q8CnnGzdutOmOc/ToUX3++efq2LHjVZ9tcTXXejy9vb11//3369NPP7X75fnSc/7lf2M+Pj5q0KCBDMOw6ZJ7udDQUIWFhWnr1q12X//9999t/v4yMzP13nvvKTIy8qpdw2JjY1WuXDmNHTvWbgx58QcHBysyMlLvvvuudbyk9M+YjZ07d16xDS8vL3Xr1k1ffvml3feQd/115G/4zjvvVFpamhYuXGgtu3jxoqZMmaIyZcqoTZs2V93H5a51KtqCvP766zp+/Lj+7//+L99rKSkp8vf3V8OGDQu1b3fhzsUNbMCAARo8eLDuv/9+3XHHHfrpp5+0YsWKfLfXnn76aX3xxRe666671KdPHzVv3lxZWVnavn27Fi1apEOHDrn0llzHjh3l4+Ojrl27atCgQTp37pxmzZqlgIAAm/+8gYGBGjp0qCZMmKC7775bnTp10k8//aRly5apcuXKNr9mOPs93nXXXfrss8907733qkuXLjp48KBmzJihBg0a6Ny5c/nq16pVS7feeqsef/xxZWdna9KkSapUqZJNN61p06bp1ltvVePGjTVw4EDVqFFDJ06c0MaNG/Xbb7/pp59+KjCea52K1tvbW0899ZT+85//6JZbblHv3r2Vm5ur2bNn67ffftMHH3xwzccA+LeqXbu23n33XfXq1UuNGzfO94TuU6dO6aOPPrKZQvahhx7Ss88+q3vvvVdDhgyxTttZp06dfP3OmzdvrlWrVmnixIkKCQlR9erVFR0dbX394MGD1nPexo0b9cEHH+jhhx9WRESEtc6AAQM0btw4DRgwQFFRUfruu++sv0pf3pYkvfDCC3rooYdUsmRJde3a9YoPSQsJCdH48eN16NAh1alTRwsXLlRqaqpmzpxpM4mHPSVLltT48ePVt29ftWnTRj179rRORRseHp7vIZ6+vr5avny54uLiFB0drWXLlumrr77S888/b73L0KVLF02cOFGdOnXSww8/rPT0dE2bNk21atWy232tUaNGio2NtZmKVtIVuxhdq7zjOWTIEMXGxsrb21sPPfSQ3brjxo3TmjVrFB0drYEDB6pBgwY6ffq0tm3bplWrVun06dOS/rkmBgUFqVWrVgoMDNSuXbs0depUdenS5apjeu655x4tXrw43x0K6Z/uwP3799eWLVsUGBioOXPm6MSJEwXe8blUuXLlNH36dD366KNq1qyZHnroIVWpUkVHjhzRV199pVatWlmTwuTkZHXp0kW33nqr+vXrp9OnT1uf22HvenmpsWPH6ptvvlGbNm302GOPqX79+jp+/Lg++eQTrV+/XuXLl1dkZKS8vb01fvx4ZWRkyGw2W5+TdbnHHntMb7/9tvr06aOUlBSFh4dr0aJF+v777zVp0qRCjZG61qlopX+6VH/66ae67bbbVKZMGa1atUoff/yxBgwYoPvvvz9f/ZUrV6pr167FbswFU9EWIwVNRVvQFHW5ubnGs88+a1SuXNkoVaqUERsba+zfvz/fVLSG8c+0comJiUatWrUMHx8fo3LlykbLli2N119/3WY6WXsKmor2k08+samXN6Xd5VPK5U2veOm0gl988YXRpEkTw9fX1wgPDzfGjx9vzJkzJ9/UgBcvXjRGjhxpBAUFGX5+fka7du2MXbt2GZUqVTIGDx5cZO/RYrEYY8eONapVq2aYzWajadOmxtKlS/NNN5k3Rd1rr71mTJgwwQgLCzPMZrPRunVr67SRl/r111+N3r17G0FBQUbJkiWN0NBQ46677jIWLVqU7/gWdipawzCMDz/80GjRooVRvnx5w8/Pz4iOjrZpA8DV/fzzz0bPnj2N4OBgo2TJkkZQUJDRs2dPY/v27Xbrf/PNN0ajRo0MHx8fo27dusYHH3xgdyra3bt3G7fddpvh5+dnM8VlXt2dO3caDzzwgFG2bFmjQoUKRkJCgs20robxz9Ss/fv3N/z9/Y2yZcsa3bt3N9LT0+2eJ1566SUjNDTU8PLyuuq0tHnXnK1btxoxMTGGr6+vUa1aNWPq1Kk29Qq6DuRZuHCh0bRpU8NsNhsVK1Y0evXqZTNdt2H8MxVt6dKljV9//dXo2LGjUapUKSMwMNBISkoycnNzberOnj3bqF27tmE2m4169eoZc+fOtXtsJRnx8fHGBx98YK3ftGnTfNOYFnYq2osXLxpPPvmkUaVKFet035e2ffmxP3HihBEfH2+EhYVZ/4bat29vzJw501rn7bffNm677TajUqVKhtlsNmrWrGk8/fTTRkZGht1je6lt27YZkoz//ve/NuXVqlUzunTpYqxYscJo0qSJ9bhd63U7z5o1a4zY2FjD39/f8PX1NWrWrGn06dMn35Sqn376qVG/fn3DbDYbDRo0MD777DO70zPbO0aHDx82evfubVSpUsUwm81GjRo1jPj4eJvp4GfNmmXUqFHD8Pb2trk+Xv6ZGcY/x7xv375G5cqVDR8fH6Nx48b5pm2+9Np9uctjvNapaA3jn2nob7vtNqNChQqGr6+vERERYcyYMcM6re6ldu3aZUgyVq1addX9ehqTYRSzx/4BV3HmzBlVqFBBL7/8sl544QV3hwMATjF69GiNGTNGJ0+edNsAz7Zt2+rUqVNX7QcPz9G+fXuFhITYPNgvPDxcjRo10tKlS90YGa5k2LBh+u6775SSklLs7lww5gLF2uVzQkuyPm27bdu2rg0GAAAPM3bsWC1cuNDugH54pj/++EPvvPOOXn755WKXWEiMuUAxt3DhQs2bN0933nmnypQpo/Xr1+ujjz5Sx44dr3kOcAAAblTR0dE2E3jA81WqVOmq41E8GckFirUmTZqoRIkSevXVV5WZmWkd5P3yyy+7OzQAAIB/HcZcAAAAAHAKxlwAAAAAcAqSCwAAAABO4fIxFxaLRb///rvKli1bLEfAA0AewzB09uxZhYSEyMuL32qKGtcPAHAPR653Lk8ufv/9d4WFhbm6WQAoMkePHtVNN93k7jBueFw/AMC9ruV65/LkIu/R6kePHlW5cuVc3Xyx5cnzUycnJ7s7BLvWr1/v7hAK1KVLF3eHUKDx48e7O4RiIzMzU2FhYdbzGooW1w8AcA9HrncuTy7ybmWXK1eOi4MDPPnLi4+Pj7tDsMuTu6mYzWZ3h1Ag/l86ji46rsH1AwDc61qud5777QsAAABAsUJyAQAAAMApSC4AAAAAOIXLx1wAAFBUDMPQxYsXlZub6+5Q4CTe3t4qUaIEY5uAYoLkAgBwQ8jJydHx48d1/vx5d4cCJytVqpSCg4M9dgIRAP9DcgEAKPYsFosOHjwob29vhYSEyMfHh1+6bwCGYSgnJ0cnT57UwYMHVbt2bY+eCRAAyQUA4AaQk5Mji8WisLAwlSpVyt3hwIn8/PxUsmRJHT58WDk5OfL19XV3SACugPQfAOCw7777Tl27dlVISIhMJpOWLFly1W3Wrl2rZs2ayWw2q1atWpo3b57T4+JX7RsTnytQfPC/FQDgsKysLEVERGjatGnXVP/gwYPq0qWLbr/9dqWmpmrYsGEaMGCAVqxYUcSRAgBciW5RAACHde7cWZ07d77m+jNmzFD16tU1YcIESVL9+vW1fv16vfHGG4qNjS2qMAEALsadCwBAkdu4caM6dOhgUxYbG6uNGzcWuE12drYyMzNtFgCAZ+POBQCgyKWlpSkwMNCmLDAwUJmZmfrrr7/k5+eXb5vk5GSNGTPmutsOf+6r697HtTo0rovD27Rt21aRkZGaNGmS8wMCcFWuOkcU5vxQHBXqzsW0adMUHh4uX19fRUdHa/Pmzc6OCwDwL5eYmKiMjAzrcvToUXeH5BZ5DwYEgOLA4eRi4cKFGjFihJKSkrRt2zZFREQoNjZW6enpRREfAOAGEBQUpBMnTtiUnThxQuXKlbN710KSzGazypUrZ7PcaPr06aN169Zp8uTJMplMMplMmjdvnkwmk5YtW6bmzZvLbDZr/fr16tOnj7p162az/bBhw9S2bVvrusViUXJysqpXry4/Pz9FRERo0aJFrn1TAP7VHE4uJk6cqIEDB6pv375q0KCBZsyYoVKlSmnOnDlFER8A4AYQExOj1atX25StXLlSMTExborIM0yePFkxMTEaOHCgjh8/ruPHjyssLEyS9Nxzz2ncuHHatWuXmjRpck37S05O1nvvvacZM2bol19+0fDhw/XII49o3bp1Rfk2AMDKoTEXOTk5SklJUWJiorXMy8tLHTp0KHBQXnZ2trKzs63rDMgDgOLv3Llz2r9/v3X94MGDSk1NVcWKFVW1alUlJibq2LFjeu+99yRJgwcP1tSpU/XMM8+oX79++vbbb/Xxxx/rq69cNx7CE/n7+8vHx0elSpVSUFCQJGn37t2SpBdffFF33HHHNe8rOztbY8eO1apVq6xJW40aNbR+/Xq9/fbbatOmjfPfAABcxqHk4tSpU8rNzbU7KC/vZHg5Zw3IAwB4jq1bt+r222+3ro8YMUKSFBcXp3nz5un48eM6cuSI9fXq1avrq6++0vDhwzV58mTddNNNeuedd5iG9gqioqIcqr9//36dP38+X0KSk5Ojpk2bOjM0AChQkc8WlZiYaL3oSP/cuci75QsAKJ7atm0rwzAKfN3e07fbtm2rH3/8sQijurGULl3aZt3LyyvfMb9w4YL13+fOnZMkffXVVwoNDbWpZzabiyhKALDlUHJRuXJleXt72x2Ul3c793Jms5mTGgAABfDx8VFubu5V61WpUkU7duywKUtNTVXJkiUlSQ0aNJDZbNaRI0foAgXAbRwa0O3j46PmzZvbDMqzWCxavXr1v35QHgAAhREeHq4ffvhBhw4d0qlTp2SxWOzWa9eunbZu3ar33ntP+/btU1JSkk2yUbZsWT311FMaPny43n33Xf3666/atm2bpkyZonfffddVbwfAv5zD3aJGjBihuLg4RUVFqUWLFpo0aZKysrLUt2/foogPAIDr4ukPrnrqqacUFxenBg0a6K+//tLcuXPt1ouNjdXIkSP1zDPP6O+//1a/fv3Uu3dvbd++3VrnpZdeUpUqVZScnKwDBw6ofPnyatasmZ5//nlXvR0A/3IOJxc9evTQyZMnNWrUKKWlpSkyMlLLly/PN8gbAABcXZ06dfLNuNinTx+7dceMGXPFSVJMJpOGDh2qoUOHOjNEALhmhRrQnZCQoISEBGfHAgAAAKAYc/ghegAAAABgD8kFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AADc2k8l1i4cLDw/XpEmTrOsmk0lLliy5rn06Yx8AbhyFekI3AAAo/o4fP64KFSpcU93Ro0dryZIlSk1NLfQ+ANz4SC4AAChGcnJy5OPj45R9BQUFecQ+ANw46BYFAIAbtW3bVgkJCUpISJC/v78qV66skSNHyjAMSf90ZXrppZfUu3dvlStXTo899pgkaf369WrdurX8/PwUFhamIUOGKCsry7rf9PR0de3aVX5+fqpevbo+/PDDfG1f3qXpt99+U8+ePVWxYkWVLl1aUVFR+uGHHzRv3jyNGTNGP/30k0wmk0wmk+bNm2d3H9u3b1e7du3k5+enSpUq6bHHHtO5c+esr/fp00fdunXT66+/ruDgYFWqVEnx8fG6cOGCE48qUIzcYN02uXNxmUOHDrk7BLvatm3r7hAKFBkZ6e4Q7AoPD3d3CAWaPHmyu0Mo0KX9sQG4xrvvvqv+/ftr8+bN2rp1qx577DFVrVpVAwcOlCS9/vrrGjVqlJKSkiRJv/76qzp16qSXX35Zc+bM0cmTJ60Jyty5cyX98yX+999/15o1a1SyZEkNGTJE6enpBcZw7tw5tWnTRqGhofriiy8UFBSkbdu2yWKxqEePHtqxY4eWL1+uVatWSZL8/f3z7SMrK0uxsbGKiYnRli1blJ6ergEDBighIcGajEjSmjVrFBwcrDVr1mj//v3q0aOHIiMjre8XQPFFcgEAgJuFhYXpjTfekMlkUt26dbV9+3a98cYb1i/b7dq10//93/9Z6w8YMEC9evXSsGHDJEm1a9fWm2++qTZt2mj69Ok6cuSIli1bps2bN+vmm2+WJM2ePVv169cvMIb58+fr5MmT2rJliypWrChJqlWrlvX1MmXKqESJElfsBjV//nz9/fffeu+991S6dGlJ0tSpU9W1a1eNHz9egYGBkqQKFSpo6tSp8vb2Vr169dSlSxetXr2a5AK4AdAtCgAAN7vllltkuqTbQkxMjPbt26fc3FxJUlRUlE39n376SfPmzVOZMmWsS2xsrCwWiw4ePKhdu3apRIkSat68uXWbevXqqXz58gXGkJqaqqZNm1oTi8LYtWuXIiIirImFJLVq1UoWi0V79uyxljVs2FDe3t7W9eDg4CveVQFQfHDnAgAAD3fpl3Xpny5MgwYN0pAhQ/LVrVq1qvbu3etwG35+foWOz1ElS5a0WTeZTLJYLC5rH0DR4c4FAABu9sMPP9isb9q0SbVr17b5df9SzZo1086dO1WrVq18i4+Pj+rVq6eLFy8qJSXFus2ePXt05syZAmNo0qSJUlNTdfr0abuv+/j4WO+kFKR+/fr66aefbAaWf//99/Ly8lLdunWvuC2AGwPJBQAAbnbkyBGNGDFCe/bs0UcffaQpU6Zo6NChBdZ/9tlntWHDBiUkJCg1NVX79u3T559/roSEBElS3bp11alTJw0aNEg//PCDUlJSNGDAgCvenejZs6eCgoLUrVs3ff/99zpw4IA+/fRTbdy4UdI/k2QcPHhQqampOnXqlLKzs/Pto1evXvL19VVcXJx27NihNWvW6Mknn9Sjjz5qHW8B4MZGcgEAuLEZhuuWQurdu7f++usvtWjRQvHx8Ro6dKh1yll7mjRponXr1mnv3r1q3bq1mjZtqlGjRikkJMRaZ+7cuQoJCVGbNm1033336bHHHlNAQECB+/Tx8dE333yjgIAA3XnnnWrcuLHGjRtnvXty//33q1OnTrr99ttVpUoVffTRR/n2UapUKa1YsUKnT5/WzTffrAceeEDt27fX1KlTC31sABQvJsO4jrNhIWRmZsrf318ZGRkqV66cK5u+JkxF6zhPnYr2Srf/3W3dunXuDqFALj4lFGuefj670VzpeP/99986ePCgqlevLl9fXzdFWDht27ZVZGQk00BfQXH+fOH5wp/7yiXtHBrXxf4LrnoGxXVc3x253nHnAgAAAIBTkFwAAAAAcAqmogUAwI3Wrl3r7hAAwGm4cwEAAADAKUguAAA3DCYkuDHxuQLFB8kFAKDYy3vi8/nz590cCYpC3ud6+ZO9AXgexlwAAIo9b29vlS9fXunp6ZL+ed6CyVXTO6LIGIah8+fPKz09XeXLly/wieUAPAfJBQDghhAUFCRJ1gQDN47y5ctbP18Ans3h5OK7777Ta6+9ppSUFB0/flyLFy9Wt27diiA0AACunclkUnBwsAICAnThwgV3hwMnKVmyJHcsgGLE4eQiKytLERER6tevn+67776iiAkAgELz9vbmyygAuInDyUXnzp3VuXPna66fnZ2t7Oxs63pmZqajTQIAAAAoBop8tqjk5GT5+/tbl7CwsKJuEgAAAIAbFHlykZiYqIyMDOty9OjRom4SAAAAgBsU+WxRZrNZZrO5qJsBAAAA4GY8RA8AAACAU5BcAAAAAHAKh7tFnTt3Tvv377euHzx4UKmpqapYsaKqVq3q1OAAAAAAFB8OJxdbt27V7bffbl0fMWKEJCkuLk7z5s1zWmAAAAAAiheHk4u2bdvKMIyiiAUAAABAMcaYCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAFMq0adMUHh4uX19fRUdHa/PmzVesP2nSJNWtW1d+fn4KCwvT8OHD9ffff7soWgCAK5BcAAActnDhQo0YMUJJSUnatm2bIiIiFBsbq/T0dLv158+fr+eee05JSUnatWuXZs+erYULF+r55593ceQAgKJEcgEAcNjEiRM1cOBA9e3bVw0aNNCMGTNUqlQpzZkzx279DRs2qFWrVnr44YcVHh6ujh07qmfPnle92wEAKF5ILgAADsnJyVFKSoo6dOhgLfPy8lKHDh20ceNGu9u0bNlSKSkp1mTiwIED+vrrr3XnnXcW2E52drYyMzNtFgCAZ3P4IXoAgH+3U6dOKTc3V4GBgTblgYGB2r17t91tHn74YZ06dUq33nqrDMPQxYsXNXjw4Ct2i0pOTtaYMWOcGjsAoGhx5wIAUOTWrl2rsWPH6q233tK2bdv02Wef6auvvtJLL71U4DaJiYnKyMiwLkePHnVhxACAwuDOBQDAIZUrV5a3t7dOnDhhU37ixAkFBQXZ3WbkyJF69NFHNWDAAElS48aNlZWVpccee0wvvPCCvLzy/9ZlNptlNpud/wYAAEWGOxcAAIf4+PioefPmWr16tbXMYrFo9erViomJsbvN+fPn8yUQ3t7ekiTDMIouWACAS3Hn4jKHDh1ydwh2HT582N0hFCg1NdXdIdhVvnx5d4dQIE+ODbgWI0aMUFxcnKKiotSiRQtNmjRJWVlZ6tu3rySpd+/eCg0NVXJysiSpa9eumjhxopo2baro6Gjt379fI0eOVNeuXa1JBgCg+CO5AAA4rEePHjp58qRGjRqltLQ0RUZGavny5dZB3keOHLG5U/Gf//xHJpNJ//nPf3Ts2DFVqVJFXbt21SuvvOKutwAAKAIkFwCAQklISFBCQoLd19auXWuzXqJECSUlJSkpKckFkQEA3IUxFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABO4VBykZycrJtvvllly5ZVQECAunXrpj179hRVbAAAAACKEYeSi3Xr1ik+Pl6bNm3SypUrdeHCBXXs2FFZWVlFFR8AAACAYqKEI5WXL19usz5v3jwFBAQoJSVFt912m1MDAwAAAFC8OJRcXC4jI0OSVLFixQLrZGdnKzs727qemZl5PU0CAAAA8FCFHtBtsVg0bNgwtWrVSo0aNSqwXnJysvz9/a1LWFhYYZsEAAAA4MEKnVzEx8drx44dWrBgwRXrJSYmKiMjw7ocPXq0sE0CAAAA8GCF6haVkJCgpUuX6rvvvtNNN910xbpms1lms7lQwQEAAAAoPhxKLgzD0JNPPqnFixdr7dq1ql69elHFBQAAAKCYcSi5iI+P1/z58/X555+rbNmySktLkyT5+/vLz8+vSAIEAAAAUDw4NOZi+vTpysjIUNu2bRUcHGxdFi5cWFTxAQAAACgmHO4WBQAAAAD2FHq2KAAAAAC4FMkFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOAXJBQAAAACnILkAAAAA4BQkFwAAAACcooS7A/A04eHh7g7BroiICHeHUKBu3bq5OwS7PDUuyXP/zgAAAK4Hdy4AAAAAOAXJBQAAAACnILkAAAAA4BQkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgBQKNOmTVN4eLh8fX0VHR2tzZs3X7H+mTNnFB8fr+DgYJnNZtWpU0dff/21i6IFALhCCXcHAAAofhYuXKgRI0ZoxowZio6O1qRJkxQbG6s9e/YoICAgX/2cnBzdcccdCggI0KJFixQaGqrDhw+rfPnyrg8eAFBkSC4AAA6bOHGiBg4cqL59+0qSZsyYoa+++kpz5szRc889l6/+nDlzdPr0aW3YsEElS5aUJIWHh7syZACACzjULWr69Olq0qSJypUrp3LlyikmJkbLli0rqtgAAB4oJydHKSkp6tChg7XMy8tLHTp00MaNG+1u88UXXygmJkbx8fEKDAxUo0aNNHbsWOXm5hbYTnZ2tjIzM20WAIBncyi5uOmmmzRu3DilpKRo69atateune655x798ssvRRUfAMDDnDp1Srm5uQoMDLQpDwwMVFpamt1tDhw4oEWLFik3N1dff/21Ro4cqQkTJujll18usJ3k5GT5+/tbl7CwMKe+DwCA8znULapr164266+88oqmT5+uTZs2qWHDhna3yc7OVnZ2tnWdX54A4N/HYrEoICBAM2fOlLe3t5o3b65jx47ptddeU1JSkt1tEhMTNWLECOt6ZmYmCQYAeLhCj7nIzc3VJ598oqysLMXExBRYLzk5WWPGjClsMwAAD1O5cmV5e3vrxIkTNuUnTpxQUFCQ3W2Cg4NVsmRJeXt7W8vq16+vtLQ05eTkyMfHJ982ZrNZZrPZucEDAIqUw1PRbt++XWXKlJHZbNbgwYO1ePFiNWjQoMD6iYmJysjIsC5Hjx69roABAO7l4+Oj5s2ba/Xq1dYyi8Wi1atXF/hjU6tWrbR//35ZLBZr2d69exUcHGw3sQAAFE8OJxd169ZVamqqfvjhBz3++OOKi4vTzp07C6xvNputA8DzFgBA8TZixAjNmjVL7777rnbt2qXHH39cWVlZ1tmjevfurcTERGv9xx9/XKdPn9bQoUO1d+9effXVVxo7dqzi4+Pd9RYAAEXA4W5RPj4+qlWrliSpefPm2rJliyZPnqy3337b6cEBADxTjx49dPLkSY0aNUppaWmKjIzU8uXLrYO8jxw5Ii+v//1+FRYWphUrVmj48OFq0qSJQkNDNXToUD377LPuegsAgCJw3c+5sFgsNgO2AQD/DgkJCUpISLD72tq1a/OVxcTEaNOmTUUcFQDAnRxKLhITE9W5c2dVrVpVZ8+e1fz587V27VqtWLGiqOIDAAAAUEw4lFykp6erd+/eOn78uPz9/dWkSROtWLFCd9xxR1HFBwAAAKCYcCi5mD17dlHFAQAAAKCYc3i2KAAAAACwh+QCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOUcLdAXia8PBwd4dg19q1a90dQoEmTZrk7hDsGj58uLtDKFCbNm3cHQIAAIDTcecCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKe4ruRi3LhxMplMGjZsmJPCAQAAAFBcFTq52LJli95++201adLEmfEAAAAAKKYKlVycO3dOvXr10qxZs1ShQgVnxwQAAACgGCpUchEfH68uXbqoQ4cOV62bnZ2tzMxMmwUAAADAjaeEoxssWLBA27Zt05YtW66pfnJyssaMGeNwYAAAAACKF4fuXBw9elRDhw7Vhx9+KF9f32vaJjExURkZGdbl6NGjhQoUAAAAgGdz6M5FSkqK0tPT1axZM2tZbm6uvvvuO02dOlXZ2dny9va22cZsNstsNjsnWgAAAAAey6Hkon379tq+fbtNWd++fVWvXj09++yz+RILAAAAAP8eDiUXZcuWVaNGjWzKSpcurUqVKuUrBwAAAPDvwhO6AQAAADiFw7NFXW7t2rVOCAMAAABAccedCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAUCjTpk1TeHi4fH19FR0drc2bN1/TdgsWLJDJZFK3bt2KNkAAgMuRXAAAHLZw4UKNGDFCSUlJ2rZtmyIiIhQbG6v09PQrbnfo0CE99dRTat26tYsiBQC4EskFAMBhEydO1MCBA9W3b181aNBAM2bMUKlSpTRnzpwCt8nNzVWvXr00ZswY1ahRw4XRAgBcheQCAOCQnJwcpaSkqEOHDtYyLy8vdejQQRs3bixwuxdffFEBAQHq37//NbWTnZ2tzMxMmwUA4NlILgAADjl16pRyc3MVGBhoUx4YGKi0tDS726xfv16zZ8/WrFmzrrmd5ORk+fv7W5ewsLDrihsAUPRILgAARers2bN69NFHNWvWLFWuXPmat0tMTFRGRoZ1OXr0aBFGCQBwhhLuDgDXpnz58u4OoUBt27Z1dwh2zZs3z90hFCg1NdXdIRRo7dq17g7BLk/9O/s3qly5sry9vXXixAmb8hMnTigoKChf/V9//VWHDh1S165drWUWi0WSVKJECe3Zs0c1a9bMt53ZbJbZbHZy9ACAosSdCwCAQ3x8fNS8eXOtXr3aWmaxWLR69WrFxMTkq1+vXj1t375dqamp1uXuu+/W7bffrtTUVLo7AcANhDsXAACHjRgxQnFxcYqKilKLFi00adIkZWVlqW/fvpKk3r17KzQ0VMnJyfL19VWjRo1sts+7G3t5OQCgeCO5AAA4rEePHjp58qRGjRqltLQ0RUZGavny5dZB3keOHJGXFzfHAeDfhuQCAFAoCQkJSkhIsPva1cbuePKYKABA4fGzEgAAAACnILkAAAAA4BQkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnMKh5GL06NEymUw2S7169YoqNgAAAADFSAlHN2jYsKFWrVr1vx2UcHgXAAAAAG5ADmcGJUqUUFBQ0DXXz87OVnZ2tnU9MzPT0SYBAAAAFAMOj7nYt2+fQkJCVKNGDfXq1UtHjhy5Yv3k5GT5+/tbl7CwsEIHCwAAAMBzOZRcREdHa968eVq+fLmmT5+ugwcPqnXr1jp79myB2yQmJiojI8O6HD169LqDBgAAAOB5HOoW1blzZ+u/mzRpoujoaFWrVk0ff/yx+vfvb3cbs9kss9l8fVECAAAA8HjXNRVt+fLlVadOHe3fv99Z8QAAAAAopq4ruTh37px+/fVXBQcHOyseAAAAAMWUQ8nFU089pXXr1unQoUPasGGD7r33Xnl7e6tnz55FFR8AAACAYsKhMRe//fabevbsqT/++ENVqlTRrbfeqk2bNqlKlSpFFR8AAACAYsKh5GLBggVFFQcAAACAYu66xlwAAAAAQB6SCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOEUJdweA4m/YsGHuDsEuT41LkiZNmuTuEAAAAJyOOxcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAIUybdo0hYeHy9fXV9HR0dq8eXOBdWfNmqXWrVurQoUKqlChgjp06HDF+gCA4snh5OLYsWN65JFHVKlSJfn5+alx48baunVrUcQGAPBQCxcu1IgRI5SUlKRt27YpIiJCsbGxSk9Pt1t/7dq16tmzp9asWaONGzcqLCxMHTt21LFjx1wcOQCgKDmUXPz5559q1aqVSpYsqWXLlmnnzp2aMGGCKlSoUFTxAQA80MSJEzVw4ED17dtXDRo00IwZM1SqVCnNmTPHbv0PP/xQTzzxhCIjI1WvXj298847slgsWr16tYsjBwAUpRKOVB4/frzCwsI0d+5ca1n16tWdHhQAwHPl5OQoJSVFiYmJ1jIvLy916NBBGzduvKZ9nD9/XhcuXFDFihULrJOdna3s7GzremZmZuGDBgC4hEN3Lr744gtFRUXpwQcfVEBAgJo2bapZs2ZdcZvs7GxlZmbaLACA4uvUqVPKzc1VYGCgTXlgYKDS0tKuaR/PPvusQkJC1KFDhwLrJCcny9/f37qEhYVdV9wAgKLnUHJx4MABTZ8+XbVr19aKFSv0+OOPa8iQIXr33XcL3IaLAwDgUuPGjdOCBQu0ePFi+fr6FlgvMTFRGRkZ1uXo0aMujBIAUBgOdYuyWCyKiorS2LFjJUlNmzbVjh07NGPGDMXFxdndJjExUSNGjLCuZ2ZmkmAAQDFWuXJleXt768SJEzblJ06cUFBQ0BW3ff311zVu3DitWrVKTZo0uWJds9kss9l83fECAFzHoTsXwcHBatCggU1Z/fr1deTIkQK3MZvNKleunM0CACi+fHx81Lx5c5vB2HmDs2NiYgrc7tVXX9VLL72k5cuXKyoqyhWhAgBczKE7F61atdKePXtsyvbu3atq1ao5NSgAgGcbMWKE4uLiFBUVpRYtWmjSpEnKyspS3759JUm9e/dWaGiokpOTJf0zIcioUaM0f/58hYeHW8dmlClTRmXKlHHb+wAAOJdDycXw4cPVsmVLjR07Vt27d9fmzZs1c+ZMzZw5s6jiAwB4oB49eujkyZMaNWqU0tLSFBkZqeXLl1sHeR85ckReXv+7OT59+nTl5OTogQcesNlPUlKSRo8e7crQAQBFyKHk4uabb9bixYuVmJioF198UdWrV9ekSZPUq1evoooPAOChEhISlJCQYPe1tWvX2qwfOnSo6AMCALidQ8mFJN1111266667iiIWAAAAAMWYQwO6AQAAAKAgJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHCKEu4OAMXfmTNn3B2CXaNHj3Z3CAXq1q2bu0MoUNu2bd0dAgAAKKa4cwEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKh5KL8PBwmUymfEt8fHxRxQcAAACgmCjhSOUtW7YoNzfXur5jxw7dcccdevDBB50eGAAAAIDixaHkokqVKjbr48aNU82aNdWmTZsCt8nOzlZ2drZ1PTMz08EQAQAAABQHhR5zkZOTow8++ED9+vWTyWQqsF5ycrL8/f2tS1hYWGGbBAAAAODBCp1cLFmyRGfOnFGfPn2uWC8xMVEZGRnW5ejRo4VtEgAAAIAHc6hb1KVmz56tzp07KyQk5Ir1zGazzGZzYZsBAAAAUEwUKrk4fPiwVq1apc8++8zZ8QAAAAAopgrVLWru3LkKCAhQly5dnB0PAAAAgGLK4eTCYrFo7ty5iouLU4kShe5VBQAAAOAG43BysWrVKh05ckT9+vUringAAAAAFFMO33ro2LGjDMMoilgAAMC/wRWmsHcqvq8ALlfoqWgBAAAA4FIkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAAp3D4IXoAAEjStGnT9NprryktLU0RERGaMmWKWrRoUWD9Tz75RCNHjtShQ4dUu3ZtjR8/XnfeeacLIwaA/A6Nv8s1DY37dzzUkTsXAACHLVy4UCNGjFBSUpK2bdumiIgIxcbGKj093W79DRs2qGfPnurfv79+/PFHdevWTd26ddOOHTtcHDngQUwm1yyAC5FcAAAcNnHiRA0cOFB9+/ZVgwYNNGPGDJUqVUpz5syxW3/y5Mnq1KmTnn76adWvX18vvfSSmjVrpqlTp7o4cgBAUXJ5tyjD+OeWUGZmpqubRhGxWCzuDsGuvL81T5STk+PuEArE/81rl3esPPlvrSjk5OQoJSVFiYmJ1jIvLy916NBBGzdutLvNxo0bNWLECJuy2NhYLVmypMB2srOzlZ2dbV3PyMiQdJ1/o/7+hd/WEf8/Vo/1bzkOnM/+UdBx8IS/A0+IwVXc/fd4He07cr1zeXJx9uxZSVJYWJirmwY8xkcffeTuEArkybF5qrNnz8rfVRdID3Dq1Cnl5uYqMDDQpjwwMFC7d++2u01aWprd+mlpaQW2k5ycrDFjxuQrLxbXj3/R38MVufs4uLt9T+Hu4+Du9onBae1fy/XO5clFSEiIjh49qrJly8p0nf0AMzMzFRYWpqNHj6pcuXJOivDGxjFzHMfMcf+WY2YYhs6ePauQkBB3h3JDSkxMtLnbYbFYdPr0aVWqVOm6rx/XyhP+lonB/e0Tg2e0Twzua9+R653LkwsvLy/ddNNNTt1nuXLlbugvMEWBY+Y4jpnj/g3H7N90xyJP5cqV5e3trRMnTtiUnzhxQkFBQXa3CQoKcqi+JJnNZpnNZpuy8uXLFy7o6+QJf8vE4P72icEz2icG97R/rdc7BnQDABzi4+Oj5s2ba/Xq1dYyi8Wi1atXKyYmxu42MTExNvUlaeXKlQXWBwAUTzznAgDgsBEjRiguLk5RUVFq0aKFJk2apKysLPXt21eS1Lt3b4WGhio5OVmSNHToULVp00YTJkxQly5dtGDBAm3dulUzZ85059sAADhZsU4uzGazkpKS8t02R8E4Zo7jmDmOY3bj69Gjh06ePKlRo0YpLS1NkZGRWr58uXXQ9pEjR+Tl9b+b4y1bttT8+fP1n//8R88//7xq166tJUuWqFGjRu56C9fEE/6WicH97RODZ7RPDJ7R/tWYjH/bHIoAAAAAigRjLgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyi2CYX06ZNU3h4uHx9fRUdHa3Nmze7OySPlZycrJtvvllly5ZVQECAunXrpj179rg7rGJl3LhxMplMGjZsmLtD8WjHjh3TI488okqVKsnPz0+NGzfW1q1b3R0WUGjuvNZ899136tq1q0JCQmQymbRkyRKXtS15xrVj+vTpatKkifVhYTExMVq2bJlLY7iUO64Fo0ePlslkslnq1avnsvbzuPv8Hh4enu84mEwmxcfHu6T93NxcjRw5UtWrV5efn59q1qypl156Sa6eF+ns2bMaNmyYqlWrJj8/P7Vs2VJbtmxxaQxXUyyTi4ULF2rEiBFKSkrStm3bFBERodjYWKWnp7s7NI+0bt06xcfHa9OmTVq5cqUuXLigjh07Kisry92hFQtbtmzR22+/rSZNmrg7FI/2559/qlWrVipZsqSWLVumnTt3asKECapQoYK7QwMKxd3XmqysLEVERGjatGkuae9ynnDtuOmmmzRu3DilpKRo69atateune655x798ssvLoshjzuvBQ0bNtTx48ety/r1613aviec37ds2WJzDFauXClJevDBB13S/vjx4zV9+nRNnTpVu3bt0vjx4/Xqq69qypQpLmk/z4ABA7Ry5Uq9//772r59uzp27KgOHTro2LFjLo3jioxiqEWLFkZ8fLx1PTc31wgJCTGSk5PdGFXxkZ6ebkgy1q1b5+5QPN7Zs2eN2rVrGytXrjTatGljDB061N0heaxnn33WuPXWW90dBuA0nnStkWQsXrzY5e1eylOuHRUqVDDeeecdl7bpzmtBUlKSERER4bL27PHE8/vQoUONmjVrGhaLxSXtdenSxejXr59N2X333Wf06tXLJe0bhmGcP3/e8Pb2NpYuXWpT3qxZM+OFF15wWRxXU+zuXOTk5CglJUUdOnSwlnl5ealDhw7auHGjGyMrPjIyMiRJFStWdHMkni8+Pl5dunSx+XuDfV988YWioqL04IMPKiAgQE2bNtWsWbPcHRZQKFxr8nP3tSM3N1cLFixQVlaWYmJiXNq2u68F+/btU0hIiGrUqKFevXrpyJEjLm3f087vOTk5+uCDD9SvXz+ZTCaXtNmyZUutXr1ae/fulST99NNPWr9+vTp37uyS9iXp4sWLys3Nla+vr025n5+fy+9mXUmxe0L3qVOnlJuba30KbJ7AwEDt3r3bTVEVHxaLRcOGDVOrVq08/sm47rZgwQJt27bN4/oyeqoDBw5o+vTpGjFihJ5//nlt2bJFQ4YMkY+Pj+Li4twdHuAQrjW23Hnt2L59u2JiYvT333+rTJkyWrx4sRo0aOCy9t19LYiOjta8efNUt25dHT9+XGPGjFHr1q21Y8cOlS1b1iUxeNr5fcmSJTpz5oz69Onjsjafe+45ZWZmql69evL29lZubq5eeeUV9erVy2UxlC1bVjExMXrppZdUv359BQYG6qOPPtLGjRtVq1Ytl8VxNcUuucD1iY+P144dOzwqw/VER48e1dChQ7Vy5cp8vxDAPovFoqioKI0dO1aS1LRpU+3YsUMzZswguQCKOXdeO+rWravU1FRlZGRo0aJFiouL07p161ySYHjCteDSX8abNGmi6OhoVatWTR9//LH69+/vkhg87fw+e/Zsde7cWSEhIS5r8+OPP9aHH36o+fPnq2HDhkpNTdWwYcMUEhLi0mPw/vvvq1+/fgoNDZW3t7eaNWumnj17KiUlxWUxXE2x6xZVuXJleXt768SJEzblJ06cUFBQkJuiKh4SEhK0dOlSrVmzRjfddJO7w/FoKSkpSk9PV7NmzVSiRAmVKFFC69at05tvvqkSJUooNzfX3SF6nODg4HwX+/r167v89j3gDFxr/sfd1w4fHx/VqlVLzZs3V3JysiIiIjR58mSXtO2J14Ly5curTp062r9/v8va9KTz++HDh7Vq1SoNGDDApe0+/fTTeu655/TQQw+pcePGevTRRzV8+HAlJye7NI6aNWtq3bp1OnfunI4eParNmzfrwoULqlGjhkvjuJJil1z4+PioefPmWr16tbXMYrFo9erVLu+DWVwYhqGEhAQtXrxY3377rapXr+7ukDxe+/bttX37dqWmplqXqKgo9erVS6mpqfL29nZ3iB6nVatW+aap3Lt3r6pVq+amiIDC41rjudcOi8Wi7Oxsl7TlideCc+fO6ddff1VwcLDL2vSk8/vcuXMVEBCgLl26uLTd8+fPy8vL9muzt7e3LBaLS+PIU7p0aQUHB+vPP//UihUrdM8997glDnuKZbeoESNGKC4uTlFRUWrRooUmTZqkrKws9e3b192heaT4+HjNnz9fn3/+ucqWLau0tDRJkr+/v/z8/NwcnWcqW7Zsvn7FpUuXVqVKlRirUoDhw4erZcuWGjt2rLp3767Nmzdr5syZmjlzprtDAwrF3deac+fO2fw6ffDgQaWmpqpixYqqWrVqkbfvCdeOxMREde7cWVWrVtXZs2c1f/58rV27VitWrHBJ+55wLXjqqafUtWtXVatWTb///ruSkpLk7e2tnj17uqR9yXPO7xaLRXPnzlVcXJxKlHDtV9iuXbvqlVdeUdWqVdWwYUP9+OOPmjhxovr16+fSOFasWCHDMFS3bl3t379fTz/9tOrVq+dZ34HdPFtVoU2ZMsWoWrWq4ePjY7Ro0cLYtGmTu0PyWJLsLnPnznV3aMUKU9Fe3Zdffmk0atTIMJvNRr169YyZM2e6OyTgurjzWrNmzRq75+64uDiXtO8J145+/foZ1apVM3x8fIwqVaoY7du3N7755huXtW+Pq68FPXr0MIKDgw0fHx8jNDTU6NGjh7F//36XtZ/HE87vK1asMCQZe/bscXnbmZmZxtChQ42qVasavr6+Ro0aNYwXXnjByM7OdmkcCxcuNGrUqGH4+PgYQUFBRnx8vHHmzBmXxnA1JsNw8aMFAQAAANyQit2YCwAAAACeieQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAD/n8lk0pIlS665/tq1a2UymXTmzBmnxhEeHq5JkyY5dZ+AK5BcAACAG1qfPn1kMplkMplUsmRJBQYG6o477tCcOXNksVhs6h4/flydO3e+5n23bNlSx48fl7+/vyRp3rx5Kl++vDPDB4oVkgsAAHDD69Spk44fP65Dhw5p2bJluv322zV06FDdddddunjxorVeUFCQzGbzNe/Xx8dHQUFBMplMRRE2UOyQXAAAgBue2WxWUFCQQkND1axZMz3//PP6/PPPtWzZMs2bN89a7/JuURs2bFBkZKR8fX0VFRWlJUuWyGQyKTU1VZJtt6i1a9eqb9++ysjIsN4pGT16dIExffnll7r55pvl6+urypUr69577y2w7sSJE9W4cWOVLl1aYWFheuKJJ3Tu3Dnr64cPH1bXrl1VoUIFlS5dWg0bNtTXX38tSfrzzz/Vq1cvValSRX5+fqpdu7bmzp1bqOMIXE0JdwcAAADgDu3atVNERIQ+++wzDRgwIN/rmZmZ6tq1q+68807Nnz9fhw8f1rBhwwrcX8uWLTVp0iSNGjVKe/bskSSVKVPGbt2vvvpK9957r1544QW99957ysnJsSYD9nh5eenNN99U9erVdeDAAT3xxBN65pln9NZbb0mS4uPjlZOTo++++06lS5fWzp07rW2PHDlSO3fu1LJly1S5cmXt379ff/3117UeJsAhJBcAAOBfq169evr555/tvjZ//nyZTCbNmjVLvr6+atCggY4dO6aBAwfare/j4yN/f3+ZTCYFBQVdsd1XXnlFDz30kMaMGWMti4iIKLD+pUlNeHi4Xn75ZQ0ePNiaXBw5ckT333+/GjduLEmqUaOGtf6RI0fUtGlTRUVFWbcHigrdogAAwL+WYRgFjpfYs2ePmjRpIl9fX2tZixYtnNJuamqq2rdvf831V61apfbt2ys0NFRly5bVo48+qj/++EPnz5+XJA0ZMkQvv/yyWrVqpaSkJJuE6fHHH9eCBQsUGRmpZ555Rhs2bHDKewDsIbkAAAD/Wrt27VL16tVd3q6fn9811z106JDuuusuNWnSRJ9++qlSUlI0bdo0SVJOTo4kacCAATpw4IAeffRRbd++XVFRUZoyZYokqXPnzjp8+LCGDx+u33//Xe3bt9dTTz3l/DcFiOQCAAD8S3377bfavn277r//fruv161bV9u3b1d2dra1bMuWLVfcp4+Pj3Jzc6/adpMmTbR69eprijMlJUUWi0UTJkzQLbfcojp16uj333/PVy8sLEyDBw/WZ599pv/7v//TrFmzrK9VqVJFcXFx+uCDDzRp0iTNnDnzmtoGHEVyAQAAbnjZ2dlKS0vTsWPHtG3bNo0dO1b33HOP7rrrLvXu3dvuNg8//LAsFosee+wx7dq1SytWrNDrr78uSQV2pQoPD9e5c+e0evVqnTp1ytpt6XJJSUn66KOPlJSUpF27dmn79u0aP3683bq1atXShQsXNGXKFB04cEDvv/++ZsyYYVNn2LBhWrFihQ4ePKht27ZpzZo1ql+/viRp1KhR+vzzz7V//3798ssvWrp0qfU1wNlILgAAwA1v+fLlCg4OVnh4uDp16qQ1a9bozTff1Oeffy5vb2+725QrV05ffvmlUlNTFRkZqRdeeEGjRo2SJJtxGJdq2bKlBg8erB49eqhKlSp69dVX7dZr27atPvnkE33xxReKjIxUu3bttHnzZrt1IyIiNHHiRI0fP16NGjXShx9+qOTkZJs6ubm5io+PV/369dWpUyfVqVPHOtjbx8dHiYmJatKkiW677TZ5e3trwYIF13TcAEeZDMMw3B0EAABAcfDhhx9an2XhyLgJ4N+CqWgBAAAK8N5776lGjRoKDQ3VTz/9pGeffVbdu3cnsQAKQHIBAABQgLS0NI0aNUppaWkKDg7Wgw8+qFdeecXdYQEei25RAAAAAJyCAd0AAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFP8PcF/ZQazH85YAAAAASUVORK5CYII=", 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L1rJLM/uMjAydOnVKbdq00YEDB5SRkSFJWr16tS5evKgnnnjCZn9PPvlkkb9Hb29v621Ni8Wi06dP6+LFi4qKitK2bdvy1e/WrZtCQ0Ot6y1atFB0dLR1mrnTp0/r22+/Vffu3XX27FlrfH/88YdiY2O1b9++ArsMSP/cjTAM45pmKTGbzapTp44eeOABffTRR/rggw8UFRWlRx55RJs2bXLoOAD/NmfPnpUklS1b9or18l7P6wbkTJfevZX+d85z1bSVJUqU0KBBg6zrPj4+GjRokNLT05WSkmJTNy4uzuZ8vnXrVqWnp+uJJ56w6V/fpUsX1atXz+7dnkunjs37lT8nJ0erVq2yll/axp9//qmMjAy1bt3a7vk4JiZGzZs3t65XrVpV99xzj1asWKHc3NxrPQzXxTAMffrpp+ratasMw7C5LsXGxiojI8Mae/ny5fXbb7/l645zNX/88YckqUKFCnZfDwkJsbkjXq5cOfXu3Vs//vij0tLSbOoOHDjQZgzKypUrdebMGfXs2dMmdm9vb0VHR1u7CB8/flypqamKi4uTv7+/dfs77rhDDRo0uGL8FotFS5YsUdeuXRUVFZXv9cu7el2Lr7/+WkFBQerZs6e1rGTJkhoyZIjOnTundevW2dTv0aOHzfHLu1t54MABa1l4eLgMw7jqlMReXl4aNGiQVq9ercTERO3bt08pKSnq3r27cnJyJP1zZ+VSeW1fS5dnT0K3qBtAaGjodQ1a2rdvn37++ecCb4Wnp6cXar9Vq1a1Wc87sYSFheUrt1gsysjIUKVKlSRJ33//vZKSkrRx40adP3/epn5GRob8/f2tc3bXqlXL5vWKFSvmO5kWxXt89913NWHCBO3evVsXLlywllevXj1f3dq1a+crq1OnjrUb0v79+2UYhkaOHFng1HPp6ek2CUphJSQkaNOmTdq2bZt1YGX37t3VsGFDDR06VD/88MN1twHcqPKShrwkoyDXmoQUxuXnk5o1a8rLy8tlU3GGhITkG9Bbp04dSf/0Vb908PDl58O883bdunXz7bdevXpav369TZmXl1e+QfGXtpVn6dKlevnll5Wammozhs/eF9CCzsfnz5/XyZMnbbqlFJWTJ0/qzJkzmjlzpmbOnGm3Tt516dlnn9WqVavUokUL1apVSx07dtTDDz+sVq1aXVNbRgH99WvVqpXv+Fx6bC89Dpd/jvv27ZOkAgcalytXTtL/Pm97x7xu3bp2k788J0+eVGZmplO7Ax0+fFi1a9fON6lAXjeqy58Fcvn3mLzvFn/++Weh2n/xxRd16tQpvfrqqxo3bpwkqWPHjurfv79mzJiR77kueZ9dYRIpdyK5uAE4Ogj38l9mLBaL7rjjDj3zzDN26+edbBxV0EwbBZXn/Sf69ddf1b59e9WrV08TJ05UWFiYfHx89PXXX+uNN94o1ABsZ7/HDz74QH369FG3bt309NNPKyAgQN7e3kpOTtavv/5aqPgk6amnnlJsbKzdOpcnUYWRk5Oj2bNn65lnnrE5uZYsWVKdO3fW1KlTlZOT43EzbACewt/fX8HBwfr555+vWO/nn39WaGio9UtWQV8OnPFL+eX7Lsq2HOWKSSL++9//6u6779Ztt92mt956S8HBwSpZsqTmzp17TYOe3SHvnP/II48oLi7Obp0mTZpI+ueL7549e7R06VItX75cn376qd566y2NGjVKY8aMKbCNvB/rCvtF+FKXf4558b///vt2kzFXT7lbVK72fcVRPj4+euedd/TKK69o7969CgwMVJ06dfTwww/Ly8sr33U+77PLGw9VXNwYnz7sqlChQr4HI+Xk5OSb0aBmzZo6d+6cOnTo4MLoCvbll18qOztbX3zxhc2vBpfPxJT3QKD9+/fb/Kryxx9/5DuZOvs9Llq0SDVq1NBnn31mcyFPSkqyWz/vV55L7d271zrgLe+XuZIlSxbp5/DHH3/o4sWLdr9kXLhwQRaLxS1fQIDi5K677tKsWbO0fv163Xrrrfle/+9//6tDhw7ZdB2ydz6W8v9SKl39V8p9+/bZnPP2798vi8ViPZ/k/bp6eXuFacue33//Pd90pHv37pUkuzNiXSrvvL1nz558v3rv2bMn34PeLBaLDhw4YPMD0OVtffrpp/L19dWKFStsZsGbO3eu3RgKOh+XKlXqqoPZr+Zaj2eVKlVUtmxZ5ebmXtM5v3Tp0urRo4d69OihnJwc3XfffXrllVeUmJhY4PSt9erVkyQdPHjQ7ut5d8wvjflaP8e8SQYCAgKuGH/e52nvmO/Zs+eKbVSpUkXlypWzO7PipRz5G65WrZp+/vlnWSwWmx/Ydu/ebRNvUQsMDLRO5pKbm6u1a9cqOjo6352LvM/O3c8zcxRjLm5gNWvWzDeWYObMmfm+PHbv3l0bN27UihUr8u3jzJkzNmMhXCHvl4JLfxnIyMjId6Fo3769SpQokW+K2qlTp+bbp7Pfo70Yf/jhB23cuNFu/SVLltiMmdi8ebN++OEHde7cWdI/J+i2bdvq7bfftjud3cmTJ68Yz7VORRsQEKDy5ctr8eLF1j6eknTu3Dl9+eWXqlevHtPRAlfx9NNPy8/PT4MGDbL2a89z+vRpDR48WKVKlbJO8yr9cz7OyMiwueNx/Phxu1Nyli5d+opPzM6b7jTPlClTJMl6PilXrpwqV66c7/z/1ltv2W1Lyp+IXMnFixf19ttvW9dzcnL09ttvq0qVKjZjGeyJiopSQECAZsyYYdN9admyZdq1a1e+mZ0k23O6YRiaOnWqSpYsqfbt20v653xsMplsrm2HDh0q8CnnGzdutOmOc/ToUX3++efq2LHjVZ9tcTXXejy9vb11//3369NPP7X75fnSc/7lf2M+Pj5q0KCBDMOw6ZJ7udDQUIWFhWnr1q12X//9999t/v4yMzP13nvvKTIy8qpdw2JjY1WuXDmNHTvWbgx58QcHBysyMlLvvvuudbyk9M+YjZ07d16xDS8vL3Xr1k1ffvml3feQd/115G/4zjvvVFpamhYuXGgtu3jxoqZMmaIyZcqoTZs2V93H5a51KtqCvP766zp+/Lj+7//+L99rKSkp8vf3V8OGDQu1b3fhzsUNbMCAARo8eLDuv/9+3XHHHfrpp5+0YsWKfLfXnn76aX3xxRe666671KdPHzVv3lxZWVnavn27Fi1apEOHDrn0llzHjh3l4+Ojrl27atCgQTp37pxmzZqlgIAAm/+8gYGBGjp0qCZMmKC7775bnTp10k8//aRly5apcuXKNr9mOPs93nXXXfrss8907733qkuXLjp48KBmzJihBg0a6Ny5c/nq16pVS7feeqsef/xxZWdna9KkSapUqZJNN61p06bp1ltvVePGjTVw4EDVqFFDJ06c0MaNG/Xbb7/pp59+KjCea52K1tvbW0899ZT+85//6JZbblHv3r2Vm5ur2bNn67ffftMHH3xwzccA+LeqXbu23n33XfXq1UuNGzfO94TuU6dO6aOPPrKZQvahhx7Ss88+q3vvvVdDhgyxTttZp06dfP3OmzdvrlWrVmnixIkKCQlR9erVFR0dbX394MGD1nPexo0b9cEHH+jhhx9WRESEtc6AAQM0btw4DRgwQFFRUfruu++sv0pf3pYkvfDCC3rooYdUsmRJde3a9YoPSQsJCdH48eN16NAh1alTRwsXLlRqaqpmzpxpM4mHPSVLltT48ePVt29ftWnTRj179rRORRseHp7vIZ6+vr5avny54uLiFB0drWXLlumrr77S888/b73L0KVLF02cOFGdOnXSww8/rPT0dE2bNk21atWy232tUaNGio2NtZmKVtIVuxhdq7zjOWTIEMXGxsrb21sPPfSQ3brjxo3TmjVrFB0drYEDB6pBgwY6ffq0tm3bplWrVun06dOS/rkmBgUFqVWrVgoMDNSuXbs0depUdenS5apjeu655x4tXrw43x0K6Z/uwP3799eWLVsUGBioOXPm6MSJEwXe8blUuXLlNH36dD366KNq1qyZHnroIVWpUkVHjhzRV199pVatWlmTwuTkZHXp0kW33nqr+vXrp9OnT1uf22HvenmpsWPH6ptvvlGbNm302GOPqX79+jp+/Lg++eQTrV+/XuXLl1dkZKS8vb01fvx4ZWRkyGw2W5+TdbnHHntMb7/9tvr06aOUlBSFh4dr0aJF+v777zVp0qRCjZG61qlopX+6VH/66ae67bbbVKZMGa1atUoff/yxBgwYoPvvvz9f/ZUrV6pr167FbswFU9EWIwVNRVvQFHW5ubnGs88+a1SuXNkoVaqUERsba+zfvz/fVLSG8c+0comJiUatWrUMHx8fo3LlykbLli2N119/3WY6WXsKmor2k08+samXN6Xd5VPK5U2veOm0gl988YXRpEkTw9fX1wgPDzfGjx9vzJkzJ9/UgBcvXjRGjhxpBAUFGX5+fka7du2MXbt2GZUqVTIGDx5cZO/RYrEYY8eONapVq2aYzWajadOmxtKlS/NNN5k3Rd1rr71mTJgwwQgLCzPMZrPRunVr67SRl/r111+N3r17G0FBQUbJkiWN0NBQ46677jIWLVqU7/gWdipawzCMDz/80GjRooVRvnx5w8/Pz4iOjrZpA8DV/fzzz0bPnj2N4OBgo2TJkkZQUJDRs2dPY/v27Xbrf/PNN0ajRo0MHx8fo27dusYHH3xgdyra3bt3G7fddpvh5+dnM8VlXt2dO3caDzzwgFG2bFmjQoUKRkJCgs20robxz9Ss/fv3N/z9/Y2yZcsa3bt3N9LT0+2eJ1566SUjNDTU8PLyuuq0tHnXnK1btxoxMTGGr6+vUa1aNWPq1Kk29Qq6DuRZuHCh0bRpU8NsNhsVK1Y0evXqZTNdt2H8MxVt6dKljV9//dXo2LGjUapUKSMwMNBISkoycnNzberOnj3bqF27tmE2m4169eoZc+fOtXtsJRnx8fHGBx98YK3ftGnTfNOYFnYq2osXLxpPPvmkUaVKFet035e2ffmxP3HihBEfH2+EhYVZ/4bat29vzJw501rn7bffNm677TajUqVKhtlsNmrWrGk8/fTTRkZGht1je6lt27YZkoz//ve/NuXVqlUzunTpYqxYscJo0qSJ9bhd63U7z5o1a4zY2FjD39/f8PX1NWrWrGn06dMn35Sqn376qVG/fn3DbDYbDRo0MD777DO70zPbO0aHDx82evfubVSpUsUwm81GjRo1jPj4eJvp4GfNmmXUqFHD8Pb2trk+Xv6ZGcY/x7xv375G5cqVDR8fH6Nx48b5pm2+9Np9uctjvNapaA3jn2nob7vtNqNChQqGr6+vERERYcyYMcM6re6ldu3aZUgyVq1addX9ehqTYRSzx/4BV3HmzBlVqFBBL7/8sl544QV3hwMATjF69GiNGTNGJ0+edNsAz7Zt2+rUqVNX7QcPz9G+fXuFhITYPNgvPDxcjRo10tKlS90YGa5k2LBh+u6775SSklLs7lww5gLF2uVzQkuyPm27bdu2rg0GAAAPM3bsWC1cuNDugH54pj/++EPvvPOOXn755WKXWEiMuUAxt3DhQs2bN0933nmnypQpo/Xr1+ujjz5Sx44dr3kOcAAAblTR0dE2E3jA81WqVOmq41E8GckFirUmTZqoRIkSevXVV5WZmWkd5P3yyy+7OzQAAIB/HcZcAAAAAHAKxlwAAAAAcAqSCwAAAABO4fIxFxaLRb///rvKli1bLEfAA0AewzB09uxZhYSEyMuL32qKGtcPAHAPR653Lk8ufv/9d4WFhbm6WQAoMkePHtVNN93k7jBueFw/AMC9ruV65/LkIu/R6kePHlW5cuVc3Xyx5cnzUycnJ7s7BLvWr1/v7hAK1KVLF3eHUKDx48e7O4RiIzMzU2FhYdbzGooW1w8AcA9HrncuTy7ybmWXK1eOi4MDPPnLi4+Pj7tDsMuTu6mYzWZ3h1Ag/l86ji46rsH1AwDc61qud5777QsAAABAsUJyAQAAAMApSC4AAAAAOIXLx1wAAFBUDMPQxYsXlZub6+5Q4CTe3t4qUaIEY5uAYoLkAgBwQ8jJydHx48d1/vx5d4cCJytVqpSCg4M9dgIRAP9DcgEAKPYsFosOHjwob29vhYSEyMfHh1+6bwCGYSgnJ0cnT57UwYMHVbt2bY+eCRAAyQUA4AaQk5Mji8WisLAwlSpVyt3hwIn8/PxUsmRJHT58WDk5OfL19XV3SACugPQfAOCw7777Tl27dlVISIhMJpOWLFly1W3Wrl2rZs2ayWw2q1atWpo3b57T4+JX7RsTnytQfPC/FQDgsKysLEVERGjatGnXVP/gwYPq0qWLbr/9dqWmpmrYsGEaMGCAVqxYUcSRAgBciW5RAACHde7cWZ07d77m+jNmzFD16tU1YcIESVL9+vW1fv16vfHGG4qNjS2qMAEALsadCwBAkdu4caM6dOhgUxYbG6uNGzcWuE12drYyMzNtFgCAZ+POBQCgyKWlpSkwMNCmLDAwUJmZmfrrr7/k5+eXb5vk5GSNGTPmutsOf+6r697HtTo0rovD27Rt21aRkZGaNGmS8wMCcFWuOkcU5vxQHBXqzsW0adMUHh4uX19fRUdHa/Pmzc6OCwDwL5eYmKiMjAzrcvToUXeH5BZ5DwYEgOLA4eRi4cKFGjFihJKSkrRt2zZFREQoNjZW6enpRREfAOAGEBQUpBMnTtiUnThxQuXKlbN710KSzGazypUrZ7PcaPr06aN169Zp8uTJMplMMplMmjdvnkwmk5YtW6bmzZvLbDZr/fr16tOnj7p162az/bBhw9S2bVvrusViUXJysqpXry4/Pz9FRERo0aJFrn1TAP7VHE4uJk6cqIEDB6pv375q0KCBZsyYoVKlSmnOnDlFER8A4AYQExOj1atX25StXLlSMTExborIM0yePFkxMTEaOHCgjh8/ruPHjyssLEyS9Nxzz2ncuHHatWuXmjRpck37S05O1nvvvacZM2bol19+0fDhw/XII49o3bp1Rfk2AMDKoTEXOTk5SklJUWJiorXMy8tLHTp0KHBQXnZ2trKzs63rDMgDgOLv3Llz2r9/v3X94MGDSk1NVcWKFVW1alUlJibq2LFjeu+99yRJgwcP1tSpU/XMM8+oX79++vbbb/Xxxx/rq69cNx7CE/n7+8vHx0elSpVSUFCQJGn37t2SpBdffFF33HHHNe8rOztbY8eO1apVq6xJW40aNbR+/Xq9/fbbatOmjfPfAABcxqHk4tSpU8rNzbU7KC/vZHg5Zw3IAwB4jq1bt+r222+3ro8YMUKSFBcXp3nz5un48eM6cuSI9fXq1avrq6++0vDhwzV58mTddNNNeuedd5iG9gqioqIcqr9//36dP38+X0KSk5Ojpk2bOjM0AChQkc8WlZiYaL3oSP/cuci75QsAKJ7atm0rwzAKfN3e07fbtm2rH3/8sQijurGULl3aZt3LyyvfMb9w4YL13+fOnZMkffXVVwoNDbWpZzabiyhKALDlUHJRuXJleXt72x2Ul3c793Jms5mTGgAABfDx8VFubu5V61WpUkU7duywKUtNTVXJkiUlSQ0aNJDZbNaRI0foAgXAbRwa0O3j46PmzZvbDMqzWCxavXr1v35QHgAAhREeHq4ffvhBhw4d0qlTp2SxWOzWa9eunbZu3ar33ntP+/btU1JSkk2yUbZsWT311FMaPny43n33Xf3666/atm2bpkyZonfffddVbwfAv5zD3aJGjBihuLg4RUVFqUWLFpo0aZKysrLUt2/foogPAIDr4ukPrnrqqacUFxenBg0a6K+//tLcuXPt1ouNjdXIkSP1zDPP6O+//1a/fv3Uu3dvbd++3VrnpZdeUpUqVZScnKwDBw6ofPnyatasmZ5//nlXvR0A/3IOJxc9evTQyZMnNWrUKKWlpSkyMlLLly/PN8gbAABcXZ06dfLNuNinTx+7dceMGXPFSVJMJpOGDh2qoUOHOjNEALhmhRrQnZCQoISEBGfHAgAAAKAYc/ghegAAAABgD8kFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AADc2k8l1i4cLDw/XpEmTrOsmk0lLliy5rn06Yx8AbhyFekI3AAAo/o4fP64KFSpcU93Ro0dryZIlSk1NLfQ+ANz4SC4AAChGcnJy5OPj45R9BQUFecQ+ANw46BYFAIAbtW3bVgkJCUpISJC/v78qV66skSNHyjAMSf90ZXrppZfUu3dvlStXTo899pgkaf369WrdurX8/PwUFhamIUOGKCsry7rf9PR0de3aVX5+fqpevbo+/PDDfG1f3qXpt99+U8+ePVWxYkWVLl1aUVFR+uGHHzRv3jyNGTNGP/30k0wmk0wmk+bNm2d3H9u3b1e7du3k5+enSpUq6bHHHtO5c+esr/fp00fdunXT66+/ruDgYFWqVEnx8fG6cOGCE48qUIzcYN02uXNxmUOHDrk7BLvatm3r7hAKFBkZ6e4Q7AoPD3d3CAWaPHmyu0Mo0KX9sQG4xrvvvqv+/ftr8+bN2rp1qx577DFVrVpVAwcOlCS9/vrrGjVqlJKSkiRJv/76qzp16qSXX35Zc+bM0cmTJ60Jyty5cyX98yX+999/15o1a1SyZEkNGTJE6enpBcZw7tw5tWnTRqGhofriiy8UFBSkbdu2yWKxqEePHtqxY4eWL1+uVatWSZL8/f3z7SMrK0uxsbGKiYnRli1blJ6ergEDBighIcGajEjSmjVrFBwcrDVr1mj//v3q0aOHIiMjre8XQPFFcgEAgJuFhYXpjTfekMlkUt26dbV9+3a98cYb1i/b7dq10//93/9Z6w8YMEC9evXSsGHDJEm1a9fWm2++qTZt2mj69Ok6cuSIli1bps2bN+vmm2+WJM2ePVv169cvMIb58+fr5MmT2rJliypWrChJqlWrlvX1MmXKqESJElfsBjV//nz9/fffeu+991S6dGlJ0tSpU9W1a1eNHz9egYGBkqQKFSpo6tSp8vb2Vr169dSlSxetXr2a5AK4AdAtCgAAN7vllltkuqTbQkxMjPbt26fc3FxJUlRUlE39n376SfPmzVOZMmWsS2xsrCwWiw4ePKhdu3apRIkSat68uXWbevXqqXz58gXGkJqaqqZNm1oTi8LYtWuXIiIirImFJLVq1UoWi0V79uyxljVs2FDe3t7W9eDg4CveVQFQfHDnAgAAD3fpl3Xpny5MgwYN0pAhQ/LVrVq1qvbu3etwG35+foWOz1ElS5a0WTeZTLJYLC5rH0DR4c4FAABu9sMPP9isb9q0SbVr17b5df9SzZo1086dO1WrVq18i4+Pj+rVq6eLFy8qJSXFus2ePXt05syZAmNo0qSJUlNTdfr0abuv+/j4WO+kFKR+/fr66aefbAaWf//99/Ly8lLdunWvuC2AGwPJBQAAbnbkyBGNGDFCe/bs0UcffaQpU6Zo6NChBdZ/9tlntWHDBiUkJCg1NVX79u3T559/roSEBElS3bp11alTJw0aNEg//PCDUlJSNGDAgCvenejZs6eCgoLUrVs3ff/99zpw4IA+/fRTbdy4UdI/k2QcPHhQqampOnXqlLKzs/Pto1evXvL19VVcXJx27NihNWvW6Mknn9Sjjz5qHW8B4MZGcgEAuLEZhuuWQurdu7f++usvtWjRQvHx8Ro6dKh1yll7mjRponXr1mnv3r1q3bq1mjZtqlGjRikkJMRaZ+7cuQoJCVGbNm1033336bHHHlNAQECB+/Tx8dE333yjgIAA3XnnnWrcuLHGjRtnvXty//33q1OnTrr99ttVpUoVffTRR/n2UapUKa1YsUKnT5/WzTffrAceeEDt27fX1KlTC31sABQvJsO4jrNhIWRmZsrf318ZGRkqV66cK5u+JkxF6zhPnYr2Srf/3W3dunXuDqFALj4lFGuefj670VzpeP/99986ePCgqlevLl9fXzdFWDht27ZVZGQk00BfQXH+fOH5wp/7yiXtHBrXxf4LrnoGxXVc3x253nHnAgAAAIBTkFwAAAAAcAqmogUAwI3Wrl3r7hAAwGm4cwEAAADAKUguAAA3DCYkuDHxuQLFB8kFAKDYy3vi8/nz590cCYpC3ud6+ZO9AXgexlwAAIo9b29vlS9fXunp6ZL+ed6CyVXTO6LIGIah8+fPKz09XeXLly/wieUAPAfJBQDghhAUFCRJ1gQDN47y5ctbP18Ans3h5OK7777Ta6+9ppSUFB0/flyLFy9Wt27diiA0AACunclkUnBwsAICAnThwgV3hwMnKVmyJHcsgGLE4eQiKytLERER6tevn+67776iiAkAgELz9vbmyygAuInDyUXnzp3VuXPna66fnZ2t7Oxs63pmZqajTQIAAAAoBop8tqjk5GT5+/tbl7CwsKJuEgAAAIAbFHlykZiYqIyMDOty9OjRom4SAAAAgBsU+WxRZrNZZrO5qJsBAAAA4GY8RA8AAACAU5BcAAAAAHAKh7tFnTt3Tvv377euHzx4UKmpqapYsaKqVq3q1OAAAAAAFB8OJxdbt27V7bffbl0fMWKEJCkuLk7z5s1zWmAAAAAAiheHk4u2bdvKMIyiiAUAAABAMcaYCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAFMq0adMUHh4uX19fRUdHa/PmzVesP2nSJNWtW1d+fn4KCwvT8OHD9ffff7soWgCAK5BcAAActnDhQo0YMUJJSUnatm2bIiIiFBsbq/T0dLv158+fr+eee05JSUnatWuXZs+erYULF+r55593ceQAgKJEcgEAcNjEiRM1cOBA9e3bVw0aNNCMGTNUqlQpzZkzx279DRs2qFWrVnr44YcVHh6ujh07qmfPnle92wEAKF5ILgAADsnJyVFKSoo6dOhgLfPy8lKHDh20ceNGu9u0bNlSKSkp1mTiwIED+vrrr3XnnXcW2E52drYyMzNtFgCAZ3P4IXoAgH+3U6dOKTc3V4GBgTblgYGB2r17t91tHn74YZ06dUq33nqrDMPQxYsXNXjw4Ct2i0pOTtaYMWOcGjsAoGhx5wIAUOTWrl2rsWPH6q233tK2bdv02Wef6auvvtJLL71U4DaJiYnKyMiwLkePHnVhxACAwuDOBQDAIZUrV5a3t7dOnDhhU37ixAkFBQXZ3WbkyJF69NFHNWDAAElS48aNlZWVpccee0wvvPCCvLzy/9ZlNptlNpud/wYAAEWGOxcAAIf4+PioefPmWr16tbXMYrFo9erViomJsbvN+fPn8yUQ3t7ekiTDMIouWACAS3Hn4jKHDh1ydwh2HT582N0hFCg1NdXdIdhVvnx5d4dQIE+ODbgWI0aMUFxcnKKiotSiRQtNmjRJWVlZ6tu3rySpd+/eCg0NVXJysiSpa9eumjhxopo2baro6Gjt379fI0eOVNeuXa1JBgCg+CO5AAA4rEePHjp58qRGjRqltLQ0RUZGavny5dZB3keOHLG5U/Gf//xHJpNJ//nPf3Ts2DFVqVJFXbt21SuvvOKutwAAKAIkFwCAQklISFBCQoLd19auXWuzXqJECSUlJSkpKckFkQEA3IUxFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABO4VBykZycrJtvvllly5ZVQECAunXrpj179hRVbAAAAACKEYeSi3Xr1ik+Pl6bNm3SypUrdeHCBXXs2FFZWVlFFR8AAACAYqKEI5WXL19usz5v3jwFBAQoJSVFt912m1MDAwAAAFC8OJRcXC4jI0OSVLFixQLrZGdnKzs727qemZl5PU0CAAAA8FCFHtBtsVg0bNgwtWrVSo0aNSqwXnJysvz9/a1LWFhYYZsEAAAA4MEKnVzEx8drx44dWrBgwRXrJSYmKiMjw7ocPXq0sE0CAAAA8GCF6haVkJCgpUuX6rvvvtNNN910xbpms1lms7lQwQEAAAAoPhxKLgzD0JNPPqnFixdr7dq1ql69elHFBQAAAKCYcSi5iI+P1/z58/X555+rbNmySktLkyT5+/vLz8+vSAIEAAAAUDw4NOZi+vTpysjIUNu2bRUcHGxdFi5cWFTxAQAAACgmHO4WBQAAAAD2FHq2KAAAAAC4FMkFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOAXJBQAAAACnILkAAAAA4BQkFwAAAACcooS7A/A04eHh7g7BroiICHeHUKBu3bq5OwS7PDUuyXP/zgAAAK4Hdy4AAAAAOAXJBQAAAACnILkAAAAA4BQkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgBQKNOmTVN4eLh8fX0VHR2tzZs3X7H+mTNnFB8fr+DgYJnNZtWpU0dff/21i6IFALhCCXcHAAAofhYuXKgRI0ZoxowZio6O1qRJkxQbG6s9e/YoICAgX/2cnBzdcccdCggI0KJFixQaGqrDhw+rfPnyrg8eAFBkSC4AAA6bOHGiBg4cqL59+0qSZsyYoa+++kpz5szRc889l6/+nDlzdPr0aW3YsEElS5aUJIWHh7syZACACzjULWr69Olq0qSJypUrp3LlyikmJkbLli0rqtgAAB4oJydHKSkp6tChg7XMy8tLHTp00MaNG+1u88UXXygmJkbx8fEKDAxUo0aNNHbsWOXm5hbYTnZ2tjIzM20WAIBncyi5uOmmmzRu3DilpKRo69atateune655x798ssvRRUfAMDDnDp1Srm5uQoMDLQpDwwMVFpamt1tDhw4oEWLFik3N1dff/21Ro4cqQkTJujll18usJ3k5GT5+/tbl7CwMKe+DwCA8znULapr164266+88oqmT5+uTZs2qWHDhna3yc7OVnZ2tnWdX54A4N/HYrEoICBAM2fOlLe3t5o3b65jx47ptddeU1JSkt1tEhMTNWLECOt6ZmYmCQYAeLhCj7nIzc3VJ598oqysLMXExBRYLzk5WWPGjClsMwAAD1O5cmV5e3vrxIkTNuUnTpxQUFCQ3W2Cg4NVsmRJeXt7W8vq16+vtLQ05eTkyMfHJ982ZrNZZrPZucEDAIqUw1PRbt++XWXKlJHZbNbgwYO1ePFiNWjQoMD6iYmJysjIsC5Hjx69roABAO7l4+Oj5s2ba/Xq1dYyi8Wi1atXF/hjU6tWrbR//35ZLBZr2d69exUcHGw3sQAAFE8OJxd169ZVamqqfvjhBz3++OOKi4vTzp07C6xvNputA8DzFgBA8TZixAjNmjVL7777rnbt2qXHH39cWVlZ1tmjevfurcTERGv9xx9/XKdPn9bQoUO1d+9effXVVxo7dqzi4+Pd9RYAAEXA4W5RPj4+qlWrliSpefPm2rJliyZPnqy3337b6cEBADxTjx49dPLkSY0aNUppaWmKjIzU8uXLrYO8jxw5Ii+v//1+FRYWphUrVmj48OFq0qSJQkNDNXToUD377LPuegsAgCJw3c+5sFgsNgO2AQD/DgkJCUpISLD72tq1a/OVxcTEaNOmTUUcFQDAnRxKLhITE9W5c2dVrVpVZ8+e1fz587V27VqtWLGiqOIDAAAAUEw4lFykp6erd+/eOn78uPz9/dWkSROtWLFCd9xxR1HFBwAAAKCYcCi5mD17dlHFAQAAAKCYc3i2KAAAAACwh+QCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOUcLdAXia8PBwd4dg19q1a90dQoEmTZrk7hDsGj58uLtDKFCbNm3cHQIAAIDTcecCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKe4ruRi3LhxMplMGjZsmJPCAQAAAFBcFTq52LJli95++201adLEmfEAAAAAKKYKlVycO3dOvXr10qxZs1ShQgVnxwQAAACgGCpUchEfH68uXbqoQ4cOV62bnZ2tzMxMmwUAAADAjaeEoxssWLBA27Zt05YtW66pfnJyssaMGeNwYAAAAACKF4fuXBw9elRDhw7Vhx9+KF9f32vaJjExURkZGdbl6NGjhQoUAAAAgGdz6M5FSkqK0tPT1axZM2tZbm6uvvvuO02dOlXZ2dny9va22cZsNstsNjsnWgAAAAAey6Hkon379tq+fbtNWd++fVWvXj09++yz+RILAAAAAP8eDiUXZcuWVaNGjWzKSpcurUqVKuUrBwAAAPDvwhO6AQAAADiFw7NFXW7t2rVOCAMAAABAccedCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAUCjTpk1TeHi4fH19FR0drc2bN1/TdgsWLJDJZFK3bt2KNkAAgMuRXAAAHLZw4UKNGDFCSUlJ2rZtmyIiIhQbG6v09PQrbnfo0CE99dRTat26tYsiBQC4EskFAMBhEydO1MCBA9W3b181aNBAM2bMUKlSpTRnzpwCt8nNzVWvXr00ZswY1ahRw4XRAgBcheQCAOCQnJwcpaSkqEOHDtYyLy8vdejQQRs3bixwuxdffFEBAQHq37//NbWTnZ2tzMxMmwUA4NlILgAADjl16pRyc3MVGBhoUx4YGKi0tDS726xfv16zZ8/WrFmzrrmd5ORk+fv7W5ewsLDrihsAUPRILgAARers2bN69NFHNWvWLFWuXPmat0tMTFRGRoZ1OXr0aBFGCQBwhhLuDgDXpnz58u4OoUBt27Z1dwh2zZs3z90hFCg1NdXdIRRo7dq17g7BLk/9O/s3qly5sry9vXXixAmb8hMnTigoKChf/V9//VWHDh1S165drWUWi0WSVKJECe3Zs0c1a9bMt53ZbJbZbHZy9ACAosSdCwCAQ3x8fNS8eXOtXr3aWmaxWLR69WrFxMTkq1+vXj1t375dqamp1uXuu+/W7bffrtTUVLo7AcANhDsXAACHjRgxQnFxcYqKilKLFi00adIkZWVlqW/fvpKk3r17KzQ0VMnJyfL19VWjRo1sts+7G3t5OQCgeCO5AAA4rEePHjp58qRGjRqltLQ0RUZGavny5dZB3keOHJGXFzfHAeDfhuQCAFAoCQkJSkhIsPva1cbuePKYKABA4fGzEgAAAACnILkAAAAA4BQkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnMKh5GL06NEymUw2S7169YoqNgAAAADFSAlHN2jYsKFWrVr1vx2UcHgXAAAAAG5ADmcGJUqUUFBQ0DXXz87OVnZ2tnU9MzPT0SYBAAAAFAMOj7nYt2+fQkJCVKNGDfXq1UtHjhy5Yv3k5GT5+/tbl7CwsEIHCwAAAMBzOZRcREdHa968eVq+fLmmT5+ugwcPqnXr1jp79myB2yQmJiojI8O6HD169LqDBgAAAOB5HOoW1blzZ+u/mzRpoujoaFWrVk0ff/yx+vfvb3cbs9kss9l8fVECAAAA8HjXNRVt+fLlVadOHe3fv99Z8QAAAAAopq4ruTh37px+/fVXBQcHOyseAAAAAMWUQ8nFU089pXXr1unQoUPasGGD7r33Xnl7e6tnz55FFR8AAACAYsKhMRe//fabevbsqT/++ENVqlTRrbfeqk2bNqlKlSpFFR8AAACAYsKh5GLBggVFFQcAAACAYu66xlwAAAAAQB6SCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAAAAOEUJdweA4m/YsGHuDsEuT41LkiZNmuTuEAAAAJyOOxcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKkgsAAAAATkFyAQAAAMApSC4AAIUybdo0hYeHy9fXV9HR0dq8eXOBdWfNmqXWrVurQoUKqlChgjp06HDF+gCA4snh5OLYsWN65JFHVKlSJfn5+alx48baunVrUcQGAPBQCxcu1IgRI5SUlKRt27YpIiJCsbGxSk9Pt1t/7dq16tmzp9asWaONGzcqLCxMHTt21LFjx1wcOQCgKDmUXPz5559q1aqVSpYsqWXLlmnnzp2aMGGCKlSoUFTxAQA80MSJEzVw4ED17dtXDRo00IwZM1SqVCnNmTPHbv0PP/xQTzzxhCIjI1WvXj298847slgsWr16tYsjBwAUpRKOVB4/frzCwsI0d+5ca1n16tWdHhQAwHPl5OQoJSVFiYmJ1jIvLy916NBBGzduvKZ9nD9/XhcuXFDFihULrJOdna3s7GzremZmZuGDBgC4hEN3Lr744gtFRUXpwQcfVEBAgJo2bapZs2ZdcZvs7GxlZmbaLACA4uvUqVPKzc1VYGCgTXlgYKDS0tKuaR/PPvusQkJC1KFDhwLrJCcny9/f37qEhYVdV9wAgKLnUHJx4MABTZ8+XbVr19aKFSv0+OOPa8iQIXr33XcL3IaLAwDgUuPGjdOCBQu0ePFi+fr6FlgvMTFRGRkZ1uXo0aMujBIAUBgOdYuyWCyKiorS2LFjJUlNmzbVjh07NGPGDMXFxdndJjExUSNGjLCuZ2ZmkmAAQDFWuXJleXt768SJEzblJ06cUFBQ0BW3ff311zVu3DitWrVKTZo0uWJds9kss9l83fECAFzHoTsXwcHBatCggU1Z/fr1deTIkQK3MZvNKleunM0CACi+fHx81Lx5c5vB2HmDs2NiYgrc7tVXX9VLL72k5cuXKyoqyhWhAgBczKE7F61atdKePXtsyvbu3atq1ao5NSgAgGcbMWKE4uLiFBUVpRYtWmjSpEnKyspS3759JUm9e/dWaGiokpOTJf0zIcioUaM0f/58hYeHW8dmlClTRmXKlHHb+wAAOJdDycXw4cPVsmVLjR07Vt27d9fmzZs1c+ZMzZw5s6jiAwB4oB49eujkyZMaNWqU0tLSFBkZqeXLl1sHeR85ckReXv+7OT59+nTl5OTogQcesNlPUlKSRo8e7crQAQBFyKHk4uabb9bixYuVmJioF198UdWrV9ekSZPUq1evoooPAOChEhISlJCQYPe1tWvX2qwfOnSo6AMCALidQ8mFJN1111266667iiIWAAAAAMWYQwO6AQAAAKAgJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHCKEu4OAMXfmTNn3B2CXaNHj3Z3CAXq1q2bu0MoUNu2bd0dAgAAKKa4cwEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyC5AIAAACAU5BcAAAAAHAKh5KL8PBwmUymfEt8fHxRxQcAAACgmCjhSOUtW7YoNzfXur5jxw7dcccdevDBB50eGAAAAIDixaHkokqVKjbr48aNU82aNdWmTZsCt8nOzlZ2drZ1PTMz08EQAQAAABQHhR5zkZOTow8++ED9+vWTyWQqsF5ycrL8/f2tS1hYWGGbBAAAAODBCp1cLFmyRGfOnFGfPn2uWC8xMVEZGRnW5ejRo4VtEgAAAIAHc6hb1KVmz56tzp07KyQk5Ir1zGazzGZzYZsBAAAAUEwUKrk4fPiwVq1apc8++8zZ8QAAAAAopgrVLWru3LkKCAhQly5dnB0PAAAAgGLK4eTCYrFo7ty5iouLU4kShe5VBQAAAOAG43BysWrVKh05ckT9+vUringAAAAAFFMO33ro2LGjDMMoilgAAMC/wRWmsHcqvq8ALlfoqWgBAAAA4FIkFwAAAACcguQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAAp3D4IXoAAEjStGnT9NprryktLU0RERGaMmWKWrRoUWD9Tz75RCNHjtShQ4dUu3ZtjR8/XnfeeacLIwaA/A6Nv8s1DY37dzzUkTsXAACHLVy4UCNGjFBSUpK2bdumiIgIxcbGKj093W79DRs2qGfPnurfv79+/PFHdevWTd26ddOOHTtcHDngQUwm1yyAC5FcAAAcNnHiRA0cOFB9+/ZVgwYNNGPGDJUqVUpz5syxW3/y5Mnq1KmTnn76adWvX18vvfSSmjVrpqlTp7o4cgBAUXJ5tyjD+OeWUGZmpqubRhGxWCzuDsGuvL81T5STk+PuEArE/81rl3esPPlvrSjk5OQoJSVFiYmJ1jIvLy916NBBGzdutLvNxo0bNWLECJuy2NhYLVmypMB2srOzlZ2dbV3PyMiQdJ1/o/7+hd/WEf8/Vo/1bzkOnM/+UdBx8IS/A0+IwVXc/fd4He07cr1zeXJx9uxZSVJYWJirmwY8xkcffeTuEArkybF5qrNnz8rfVRdID3Dq1Cnl5uYqMDDQpjwwMFC7d++2u01aWprd+mlpaQW2k5ycrDFjxuQrLxbXj3/R38MVufs4uLt9T+Hu4+Du9onBae1fy/XO5clFSEiIjh49qrJly8p0nf0AMzMzFRYWpqNHj6pcuXJOivDGxjFzHMfMcf+WY2YYhs6ePauQkBB3h3JDSkxMtLnbYbFYdPr0aVWqVOm6rx/XyhP+lonB/e0Tg2e0Twzua9+R653LkwsvLy/ddNNNTt1nuXLlbugvMEWBY+Y4jpnj/g3H7N90xyJP5cqV5e3trRMnTtiUnzhxQkFBQXa3CQoKcqi+JJnNZpnNZpuy8uXLFy7o6+QJf8vE4P72icEz2icG97R/rdc7BnQDABzi4+Oj5s2ba/Xq1dYyi8Wi1atXKyYmxu42MTExNvUlaeXKlQXWBwAUTzznAgDgsBEjRiguLk5RUVFq0aKFJk2apKysLPXt21eS1Lt3b4WGhio5OVmSNHToULVp00YTJkxQly5dtGDBAm3dulUzZ85059sAADhZsU4uzGazkpKS8t02R8E4Zo7jmDmOY3bj69Gjh06ePKlRo0YpLS1NkZGRWr58uXXQ9pEjR+Tl9b+b4y1bttT8+fP1n//8R88//7xq166tJUuWqFGjRu56C9fEE/6WicH97RODZ7RPDJ7R/tWYjH/bHIoAAAAAigRjLgAAAAA4BckFAAAAAKcguQAAAADgFCQXAAAAAJyi2CYX06ZNU3h4uHx9fRUdHa3Nmze7OySPlZycrJtvvllly5ZVQECAunXrpj179rg7rGJl3LhxMplMGjZsmLtD8WjHjh3TI488okqVKsnPz0+NGzfW1q1b3R0WUGjuvNZ899136tq1q0JCQmQymbRkyRKXtS15xrVj+vTpatKkifVhYTExMVq2bJlLY7iUO64Fo0ePlslkslnq1avnsvbzuPv8Hh4enu84mEwmxcfHu6T93NxcjRw5UtWrV5efn59q1qypl156Sa6eF+ns2bMaNmyYqlWrJj8/P7Vs2VJbtmxxaQxXUyyTi4ULF2rEiBFKSkrStm3bFBERodjYWKWnp7s7NI+0bt06xcfHa9OmTVq5cqUuXLigjh07Kisry92hFQtbtmzR22+/rSZNmrg7FI/2559/qlWrVipZsqSWLVumnTt3asKECapQoYK7QwMKxd3XmqysLEVERGjatGkuae9ynnDtuOmmmzRu3DilpKRo69atateune655x798ssvLoshjzuvBQ0bNtTx48ety/r1613aviec37ds2WJzDFauXClJevDBB13S/vjx4zV9+nRNnTpVu3bt0vjx4/Xqq69qypQpLmk/z4ABA7Ry5Uq9//772r59uzp27KgOHTro2LFjLo3jioxiqEWLFkZ8fLx1PTc31wgJCTGSk5PdGFXxkZ6ebkgy1q1b5+5QPN7Zs2eN2rVrGytXrjTatGljDB061N0heaxnn33WuPXWW90dBuA0nnStkWQsXrzY5e1eylOuHRUqVDDeeecdl7bpzmtBUlKSERER4bL27PHE8/vQoUONmjVrGhaLxSXtdenSxejXr59N2X333Wf06tXLJe0bhmGcP3/e8Pb2NpYuXWpT3qxZM+OFF15wWRxXU+zuXOTk5CglJUUdOnSwlnl5ealDhw7auHGjGyMrPjIyMiRJFStWdHMkni8+Pl5dunSx+XuDfV988YWioqL04IMPKiAgQE2bNtWsWbPcHRZQKFxr8nP3tSM3N1cLFixQVlaWYmJiXNq2u68F+/btU0hIiGrUqKFevXrpyJEjLm3f087vOTk5+uCDD9SvXz+ZTCaXtNmyZUutXr1ae/fulST99NNPWr9+vTp37uyS9iXp4sWLys3Nla+vr025n5+fy+9mXUmxe0L3qVOnlJuba30KbJ7AwEDt3r3bTVEVHxaLRcOGDVOrVq08/sm47rZgwQJt27bN4/oyeqoDBw5o+vTpGjFihJ5//nlt2bJFQ4YMkY+Pj+Li4twdHuAQrjW23Hnt2L59u2JiYvT333+rTJkyWrx4sRo0aOCy9t19LYiOjta8efNUt25dHT9+XGPGjFHr1q21Y8cOlS1b1iUxeNr5fcmSJTpz5oz69Onjsjafe+45ZWZmql69evL29lZubq5eeeUV9erVy2UxlC1bVjExMXrppZdUv359BQYG6qOPPtLGjRtVq1Ytl8VxNcUuucD1iY+P144dOzwqw/VER48e1dChQ7Vy5cp8vxDAPovFoqioKI0dO1aS1LRpU+3YsUMzZswguQCKOXdeO+rWravU1FRlZGRo0aJFiouL07p161ySYHjCteDSX8abNGmi6OhoVatWTR9//LH69+/vkhg87fw+e/Zsde7cWSEhIS5r8+OPP9aHH36o+fPnq2HDhkpNTdWwYcMUEhLi0mPw/vvvq1+/fgoNDZW3t7eaNWumnj17KiUlxWUxXE2x6xZVuXJleXt768SJEzblJ06cUFBQkJuiKh4SEhK0dOlSrVmzRjfddJO7w/FoKSkpSk9PV7NmzVSiRAmVKFFC69at05tvvqkSJUooNzfX3SF6nODg4HwX+/r167v89j3gDFxr/sfd1w4fHx/VqlVLzZs3V3JysiIiIjR58mSXtO2J14Ly5curTp062r9/v8va9KTz++HDh7Vq1SoNGDDApe0+/fTTeu655/TQQw+pcePGevTRRzV8+HAlJye7NI6aNWtq3bp1OnfunI4eParNmzfrwoULqlGjhkvjuJJil1z4+PioefPmWr16tbXMYrFo9erVLu+DWVwYhqGEhAQtXrxY3377rapXr+7ukDxe+/bttX37dqWmplqXqKgo9erVS6mpqfL29nZ3iB6nVatW+aap3Lt3r6pVq+amiIDC41rjudcOi8Wi7Oxsl7TlideCc+fO6ddff1VwcLDL2vSk8/vcuXMVEBCgLl26uLTd8+fPy8vL9muzt7e3LBaLS+PIU7p0aQUHB+vPP//UihUrdM8997glDnuKZbeoESNGKC4uTlFRUWrRooUmTZqkrKws9e3b192heaT4+HjNnz9fn3/+ucqWLau0tDRJkr+/v/z8/NwcnWcqW7Zsvn7FpUuXVqVKlRirUoDhw4erZcuWGjt2rLp3767Nmzdr5syZmjlzprtDAwrF3deac+fO2fw6ffDgQaWmpqpixYqqWrVqkbfvCdeOxMREde7cWVWrVtXZs2c1f/58rV27VitWrHBJ+55wLXjqqafUtWtXVatWTb///ruSkpLk7e2tnj17uqR9yXPO7xaLRXPnzlVcXJxKlHDtV9iuXbvqlVdeUdWqVdWwYUP9+OOPmjhxovr16+fSOFasWCHDMFS3bl3t379fTz/9tOrVq+dZ34HdPFtVoU2ZMsWoWrWq4ePjY7Ro0cLYtGmTu0PyWJLsLnPnznV3aMUKU9Fe3Zdffmk0atTIMJvNRr169YyZM2e6OyTgurjzWrNmzRq75+64uDiXtO8J145+/foZ1apVM3x8fIwqVaoY7du3N7755huXtW+Pq68FPXr0MIKDgw0fHx8jNDTU6NGjh7F//36XtZ/HE87vK1asMCQZe/bscXnbmZmZxtChQ42qVasavr6+Ro0aNYwXXnjByM7OdmkcCxcuNGrUqGH4+PgYQUFBRnx8vHHmzBmXxnA1JsNw8aMFAQAAANyQit2YCwAAAACeieQCAAAAgFOQXAAAAABwCpILAAAAAE5BcgEAAADAKUguAAAAADgFyQUAAAAApyC5AAAAAOAUJBcAAAD/n8lk0pIlS665/tq1a2UymXTmzBmnxhEeHq5JkyY5dZ+AK5BcAACAG1qfPn1kMplkMplUsmRJBQYG6o477tCcOXNksVhs6h4/flydO3e+5n23bNlSx48fl7+/vyRp3rx5Kl++vDPDB4oVkgsAAHDD69Spk44fP65Dhw5p2bJluv322zV06FDdddddunjxorVeUFCQzGbzNe/Xx8dHQUFBMplMRRE2UOyQXAAAgBue2WxWUFCQQkND1axZMz3//PP6/PPPtWzZMs2bN89a7/JuURs2bFBkZKR8fX0VFRWlJUuWyGQyKTU1VZJtt6i1a9eqb9++ysjIsN4pGT16dIExffnll7r55pvl6+urypUr69577y2w7sSJE9W4cWOVLl1aYWFheuKJJ3Tu3Dnr64cPH1bXrl1VoUIFlS5dWg0bNtTXX38tSfrzzz/Vq1cvValSRX5+fqpdu7bmzp1bqOMIXE0JdwcAAADgDu3atVNERIQ+++wzDRgwIN/rmZmZ6tq1q+68807Nnz9fhw8f1rBhwwrcX8uWLTVp0iSNGjVKe/bskSSVKVPGbt2vvvpK9957r1544QW99957ysnJsSYD9nh5eenNN99U9erVdeDAAT3xxBN65pln9NZbb0mS4uPjlZOTo++++06lS5fWzp07rW2PHDlSO3fu1LJly1S5cmXt379ff/3117UeJsAhJBcAAOBfq169evr555/tvjZ//nyZTCbNmjVLvr6+atCggY4dO6aBAwfare/j4yN/f3+ZTCYFBQVdsd1XXnlFDz30kMaMGWMti4iIKLD+pUlNeHi4Xn75ZQ0ePNiaXBw5ckT333+/GjduLEmqUaOGtf6RI0fUtGlTRUVFWbcHigrdogAAwL+WYRgFjpfYs2ePmjRpIl9fX2tZixYtnNJuamqq2rdvf831V61apfbt2ys0NFRly5bVo48+qj/++EPnz5+XJA0ZMkQvv/yyWrVqpaSkJJuE6fHHH9eCBQsUGRmpZ555Rhs2bHDKewDsIbkAAAD/Wrt27VL16tVd3q6fn9811z106JDuuusuNWnSRJ9++qlSUlI0bdo0SVJOTo4kacCAATpw4IAeffRRbd++XVFRUZoyZYokqXPnzjp8+LCGDx+u33//Xe3bt9dTTz3l/DcFiOQCAAD8S3377bfavn277r//fruv161bV9u3b1d2dra1bMuWLVfcp4+Pj3Jzc6/adpMmTbR69eprijMlJUUWi0UTJkzQLbfcojp16uj333/PVy8sLEyDBw/WZ599pv/7v//TrFmzrK9VqVJFcXFx+uCDDzRp0iTNnDnzmtoGHEVyAQAAbnjZ2dlKS0vTsWPHtG3bNo0dO1b33HOP7rrrLvXu3dvuNg8//LAsFosee+wx7dq1SytWrNDrr78uSQV2pQoPD9e5c+e0evVqnTp1ytpt6XJJSUn66KOPlJSUpF27dmn79u0aP3683bq1atXShQsXNGXKFB04cEDvv/++ZsyYYVNn2LBhWrFihQ4ePKht27ZpzZo1ql+/viRp1KhR+vzzz7V//3798ssvWrp0qfU1wNlILgAAwA1v+fLlCg4OVnh4uDp16qQ1a9bozTff1Oeffy5vb2+725QrV05ffvmlUlNTFRkZqRdeeEGjRo2SJJtxGJdq2bKlBg8erB49eqhKlSp69dVX7dZr27atPvnkE33xxReKjIxUu3bttHnzZrt1IyIiNHHiRI0fP16NGjXShx9+qOTkZJs6ubm5io+PV/369dWpUyfVqVPHOtjbx8dHiYmJatKkiW677TZ5e3trwYIF13TcAEeZDMMw3B0EAABAcfDhhx9an2XhyLgJ4N+CqWgBAAAK8N5776lGjRoKDQ3VTz/9pGeffVbdu3cnsQAKQHIBAABQgLS0NI0aNUppaWkKDg7Wgw8+qFdeecXdYQEei25RAAAAAJyCAd0AAAAAnILkAgAAAIBTkFwAAAAAcAqSCwAAAABOQXIBAAAAwClILgAAAAA4BckFAAAAAKcguQAAAADgFP8PcF/ZQazH85YAAAAASUVORK5CYII=\n" 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", 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\n" 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "# Calculate the loss for each test sample\n", + "test_losses = []\n", + "for i in range(len(X_test)):\n", + " loss = model.loss(X_test[i:i+1], y_test[i:i+1])\n", + " test_losses.append(loss)\n", + "\n", + "# Find the indices of the samples with the highest loss (worst predictions)\n", + "worst_predictions_indices = np.argsort(test_losses)[-5:] # Get the top 5 worst predictions\n", + "\n", + "print(\"Worst predictions:\", worst_predictions_indices)\n", + "\n", + "# Plot the worst predictions\n", + "for idx in worst_predictions_indices:\n", + " plot_prediction(model, sample_idx=idx)" ] }, { @@ -1327,9 +1327,11 @@ }, { "cell_type": "code", + "execution_count": 32, "metadata": { "id": "9aab447a" }, + "outputs": [], "source": [ "class NeuralNet():\n", " \"\"\"MLP with 2 hidden layers with sigmoid activation\"\"\"\n", @@ -1455,12 +1457,11 @@ " raise NotImplementedError(\"You need to correctly implement the NeuralNet class.\")\n", "except Exception as e:\n", " print(f\"An unexpected error occurred during testing: {e}\")" - ], - "execution_count": 32, - "outputs": [] + ] }, { "cell_type": "code", + "execution_count": 33, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1468,6 +1469,15 @@ "id": "0b5feca4", "outputId": "436fec29-ca83-4a63-f726-ccd6188aaa56" }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'learning_rates': [0.001, 0.01, 0.1], 'hidden_layer_sizes': [{'hidden_size1': 32, 'hidden_size2': 0}, {'hidden_size1': 64, 'hidden_size2': 0}, {'hidden_size1': 32, 'hidden_size2': 16}, {'hidden_size1': 32, 'hidden_size2': 32}, {'hidden_size1': 64, 'hidden_size2': 32}, {'hidden_size1': 64, 'hidden_size2': 64}], 'epochs': [10, 15, 20]}\n" + ] + } + ], "source": [ "# Hyper parameters settings\n", "# Adjusting: learning rates, sizes of hidden layers and epochs.\n", @@ -1486,20 +1496,11 @@ "}\n", "\n", "print(hyperparameters)" - ], - "execution_count": 33, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "{'learning_rates': [0.001, 0.01, 0.1], 'hidden_layer_sizes': [{'hidden_size1': 32, 'hidden_size2': 0}, {'hidden_size1': 64, 'hidden_size2': 0}, {'hidden_size1': 32, 'hidden_size2': 16}, {'hidden_size1': 32, 'hidden_size2': 32}, {'hidden_size1': 64, 'hidden_size2': 32}, {'hidden_size1': 64, 'hidden_size2': 64}], 'epochs': [10, 15, 20]}\n" - ] - } ] }, { "cell_type": "code", + "execution_count": 34, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1507,43 +1508,10 @@ "id": "c8e4f681", "outputId": "5759fe51-1233-455d-9f5e-7b734a512ab3" }, - "source": [ - "# with each combination and evaluating its performance on the test set.\n", - "# Iterating through the different hyperparameter combinations training a new NeuralNet model\n", - "\n", - "results = []\n", - "\n", - "for learning_rate in hyperparameters[\"learning_rates\"]:\n", - " for hidden_layer_config in hyperparameters[\"hidden_layer_sizes\"]:\n", - " for epochs in hyperparameters[\"epochs\"]:\n", - " hidden_size1 = hidden_layer_config[\"hidden_size1\"]\n", - " hidden_size2 = hidden_layer_config[\"hidden_size2\"]\n", - "\n", - " print(f\"Training with: Learning Rate = {learning_rate}, Hidden Layers = ({hidden_size1}, {hidden_size2}), Epochs = {epochs}\")\n", - "\n", - " if hidden_size2 == 0:\n", - " model = NeuralNet(n_features, hidden_size1, 0, n_classes)\n", - " else:\n", - " model = NeuralNet(n_features, hidden_size1, hidden_size2, n_classes)\n", - "\n", - " for epoch in range(epochs):\n", - " for i, (x, y) in enumerate(zip(X_train, y_train)):\n", - " model.train(x, y, learning_rate)\n", - "\n", - " test_accuracy = model.accuracy(X_test, y_test)\n", - " results.append({\n", - " \"learning_rate\": learning_rate,\n", - " \"hidden_layer_sizes\": (hidden_size1, hidden_size2),\n", - " \"epochs\": epochs,\n", - " \"test_accuracy\": test_accuracy\n", - " })\n", - " print(f\"Test Accuracy: {test_accuracy:.3f}\")\n" - ], - "execution_count": 34, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Training with: Learning Rate = 0.001, Hidden Layers = (32, 0), Epochs = 10\n", "Test Accuracy: 0.063\n", @@ -1655,10 +1623,43 @@ "Test Accuracy: 0.641\n" ] } + ], + "source": [ + "# with each combination and evaluating its performance on the test set.\n", + "# Iterating through the different hyperparameter combinations training a new NeuralNet model\n", + "\n", + "results = []\n", + "\n", + "for learning_rate in hyperparameters[\"learning_rates\"]:\n", + " for hidden_layer_config in hyperparameters[\"hidden_layer_sizes\"]:\n", + " for epochs in hyperparameters[\"epochs\"]:\n", + " hidden_size1 = hidden_layer_config[\"hidden_size1\"]\n", + " hidden_size2 = hidden_layer_config[\"hidden_size2\"]\n", + "\n", + " print(f\"Training with: Learning Rate = {learning_rate}, Hidden Layers = ({hidden_size1}, {hidden_size2}), Epochs = {epochs}\")\n", + "\n", + " if hidden_size2 == 0:\n", + " model = NeuralNet(n_features, hidden_size1, 0, n_classes)\n", + " else:\n", + " model = NeuralNet(n_features, hidden_size1, hidden_size2, n_classes)\n", + "\n", + " for epoch in range(epochs):\n", + " for i, (x, y) in enumerate(zip(X_train, y_train)):\n", + " model.train(x, y, learning_rate)\n", + "\n", + " test_accuracy = model.accuracy(X_test, y_test)\n", + " results.append({\n", + " \"learning_rate\": learning_rate,\n", + " \"hidden_layer_sizes\": (hidden_size1, hidden_size2),\n", + " \"epochs\": epochs,\n", + " \"test_accuracy\": test_accuracy\n", + " })\n", + " print(f\"Test Accuracy: {test_accuracy:.3f}\")\n" ] }, { "cell_type": "code", + "execution_count": 37, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1667,74 +1668,13 @@ "id": "2efea145", "outputId": "b01418d0-bbe7-49dd-8c5f-0092827b912d" }, - "source": [ - "import pandas as pd\n", - "\n", - "results_df = pd.DataFrame(results)\n", - "display(results_df.sort_values(by='test_accuracy', ascending=False))" - ], - "execution_count": 37, "outputs": [ { - "output_type": "display_data", "data": { - "text/plain": [ - " learning_rate hidden_layer_sizes epochs test_accuracy\n", - "34 0.010 (64, 64) 15 0.977778\n", - "35 0.010 (64, 64) 20 0.974074\n", - "31 0.010 (64, 32) 15 0.966667\n", - "32 0.010 (64, 32) 20 0.966667\n", - "29 0.010 (32, 32) 20 0.959259\n", - "33 0.010 (64, 64) 10 0.955556\n", - "25 0.010 (32, 16) 15 0.944444\n", - "30 0.010 (64, 32) 10 0.940741\n", - "28 0.010 (32, 32) 15 0.937037\n", - "24 0.010 (32, 16) 10 0.937037\n", - "26 0.010 (32, 16) 20 0.933333\n", - "27 0.010 (32, 32) 10 0.925926\n", - "50 0.100 (64, 32) 20 0.785185\n", - "17 0.001 (64, 64) 20 0.722222\n", - "44 0.100 (32, 16) 20 0.688889\n", - "47 0.100 (32, 32) 20 0.685185\n", - "43 0.100 (32, 16) 15 0.659259\n", - "48 0.100 (64, 32) 10 0.644444\n", - "53 0.100 (64, 64) 20 0.640741\n", - "51 0.100 (64, 64) 10 0.637037\n", - "14 0.001 (64, 32) 20 0.633333\n", - "16 0.001 (64, 64) 15 0.548148\n", - "45 0.100 (32, 32) 10 0.544444\n", - "49 0.100 (64, 32) 15 0.522222\n", - "46 0.100 (32, 32) 15 0.488889\n", - "13 0.001 (64, 32) 15 0.466667\n", - "11 0.001 (32, 32) 20 0.451852\n", - "52 0.100 (64, 64) 15 0.448148\n", - "42 0.100 (32, 16) 10 0.400000\n", - "15 0.001 (64, 64) 10 0.392593\n", - "8 0.001 (32, 16) 20 0.296296\n", - "10 0.001 (32, 32) 15 0.251852\n", - "7 0.001 (32, 16) 15 0.229630\n", - "12 0.001 (64, 32) 10 0.214815\n", - "38 0.100 (32, 0) 20 0.088889\n", - "39 0.100 (64, 0) 10 0.088889\n", - "37 0.100 (32, 0) 15 0.088889\n", - "36 0.100 (32, 0) 10 0.088889\n", - "40 0.100 (64, 0) 15 0.088889\n", - "41 0.100 (64, 0) 20 0.088889\n", - "9 0.001 (32, 32) 10 0.066667\n", - "19 0.010 (32, 0) 15 0.062963\n", - "21 0.010 (64, 0) 10 0.062963\n", - "20 0.010 (32, 0) 20 0.062963\n", - "4 0.001 (64, 0) 15 0.062963\n", - "5 0.001 (64, 0) 20 0.062963\n", - "2 0.001 (32, 0) 20 0.062963\n", - "1 0.001 (32, 0) 15 0.062963\n", - "0 0.001 (32, 0) 10 0.062963\n", - "18 0.010 (32, 0) 10 0.062963\n", - "6 0.001 (32, 16) 10 0.062963\n", - "3 0.001 (64, 0) 10 0.062963\n", - "22 0.010 (64, 0) 15 0.062963\n", - "23 0.010 (64, 0) 20 0.062963" - ], + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"display(results_df\",\n \"rows\": 54,\n \"fields\": [\n {\n \"column\": \"learning_rate\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.04511871134249678,\n \"min\": 0.001,\n \"max\": 0.1,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.01,\n 0.1,\n 0.001\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hidden_layer_sizes\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n [\n 64,\n 64\n ],\n [\n 64,\n 32\n ],\n [\n 64,\n 0\n ]\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"epochs\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4,\n \"min\": 10,\n \"max\": 20,\n \"num_unique_values\": 3,\n \"samples\": [\n 15,\n 20,\n 10\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"test_accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.3524008491749039,\n \"min\": 0.06296296296296296,\n \"max\": 0.9777777777777777,\n \"num_unique_values\": 35,\n \"samples\": [\n 0.4,\n 0.6851851851851852,\n 0.45185185185185184\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe" + }, "text/html": [ "\n", "
\n", @@ -2354,17 +2294,78 @@ "
\n", " \n" ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe", - "summary": "{\n \"name\": \"display(results_df\",\n \"rows\": 54,\n \"fields\": [\n {\n \"column\": \"learning_rate\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.04511871134249678,\n \"min\": 0.001,\n \"max\": 0.1,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.01,\n 0.1,\n 0.001\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"hidden_layer_sizes\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 6,\n \"samples\": [\n [\n 64,\n 64\n ],\n [\n 64,\n 32\n ],\n [\n 64,\n 0\n ]\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"epochs\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4,\n \"min\": 10,\n \"max\": 20,\n \"num_unique_values\": 3,\n \"samples\": [\n 15,\n 20,\n 10\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"test_accuracy\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.3524008491749039,\n \"min\": 0.06296296296296296,\n \"max\": 0.9777777777777777,\n \"num_unique_values\": 35,\n \"samples\": [\n 0.4,\n 0.6851851851851852,\n 0.45185185185185184\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" - } + "text/plain": [ + " learning_rate hidden_layer_sizes epochs test_accuracy\n", + "34 0.010 (64, 64) 15 0.977778\n", + "35 0.010 (64, 64) 20 0.974074\n", + "31 0.010 (64, 32) 15 0.966667\n", + "32 0.010 (64, 32) 20 0.966667\n", + "29 0.010 (32, 32) 20 0.959259\n", + "33 0.010 (64, 64) 10 0.955556\n", + "25 0.010 (32, 16) 15 0.944444\n", + "30 0.010 (64, 32) 10 0.940741\n", + "28 0.010 (32, 32) 15 0.937037\n", + "24 0.010 (32, 16) 10 0.937037\n", + "26 0.010 (32, 16) 20 0.933333\n", + "27 0.010 (32, 32) 10 0.925926\n", + "50 0.100 (64, 32) 20 0.785185\n", + "17 0.001 (64, 64) 20 0.722222\n", + "44 0.100 (32, 16) 20 0.688889\n", + "47 0.100 (32, 32) 20 0.685185\n", + "43 0.100 (32, 16) 15 0.659259\n", + "48 0.100 (64, 32) 10 0.644444\n", + "53 0.100 (64, 64) 20 0.640741\n", + "51 0.100 (64, 64) 10 0.637037\n", + "14 0.001 (64, 32) 20 0.633333\n", + "16 0.001 (64, 64) 15 0.548148\n", + "45 0.100 (32, 32) 10 0.544444\n", + "49 0.100 (64, 32) 15 0.522222\n", + "46 0.100 (32, 32) 15 0.488889\n", + "13 0.001 (64, 32) 15 0.466667\n", + "11 0.001 (32, 32) 20 0.451852\n", + "52 0.100 (64, 64) 15 0.448148\n", + "42 0.100 (32, 16) 10 0.400000\n", + "15 0.001 (64, 64) 10 0.392593\n", + "8 0.001 (32, 16) 20 0.296296\n", + "10 0.001 (32, 32) 15 0.251852\n", + "7 0.001 (32, 16) 15 0.229630\n", + "12 0.001 (64, 32) 10 0.214815\n", + "38 0.100 (32, 0) 20 0.088889\n", + "39 0.100 (64, 0) 10 0.088889\n", + "37 0.100 (32, 0) 15 0.088889\n", + "36 0.100 (32, 0) 10 0.088889\n", + "40 0.100 (64, 0) 15 0.088889\n", + "41 0.100 (64, 0) 20 0.088889\n", + "9 0.001 (32, 32) 10 0.066667\n", + "19 0.010 (32, 0) 15 0.062963\n", + "21 0.010 (64, 0) 10 0.062963\n", + "20 0.010 (32, 0) 20 0.062963\n", + "4 0.001 (64, 0) 15 0.062963\n", + "5 0.001 (64, 0) 20 0.062963\n", + "2 0.001 (32, 0) 20 0.062963\n", + "1 0.001 (32, 0) 15 0.062963\n", + "0 0.001 (32, 0) 10 0.062963\n", + "18 0.010 (32, 0) 10 0.062963\n", + "6 0.001 (32, 16) 10 0.062963\n", + "3 0.001 (64, 0) 10 0.062963\n", + "22 0.010 (64, 0) 15 0.062963\n", + "23 0.010 (64, 0) 20 0.062963" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } + ], + "source": [ + "import pandas as pd\n", + "\n", + "results_df = pd.DataFrame(results)\n", + "display(results_df.sort_values(by='test_accuracy', ascending=False))" ] }, { "cell_type": "code", + "execution_count": 38, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -2372,6 +2373,16 @@ "id": "cbcaa2bf", "outputId": "0c215033-38d2-4faa-ee7d-b6ff9cda5dbf" }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best Test Accuracy: 0.9777777777777777\n", + "Best Hyperparameters: {'learning_rate': 0.01, 'hidden_layer_sizes': (64, 64), 'epochs': 15, 'test_accuracy': np.float64(0.9777777777777777)}\n" + ] + } + ], "source": [ "# Determining the combination of hyperparameters that resulted in the best test accuracy.\n", "best_accuracy = 0\n", @@ -2384,21 +2395,11 @@ "\n", "print(\"Best Test Accuracy:\", best_accuracy)\n", "print(\"Best Hyperparameters:\", best_hyperparameters)" - ], - "execution_count": 38, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Best Test Accuracy: 0.9777777777777777\n", - "Best Hyperparameters: {'learning_rate': 0.01, 'hidden_layer_sizes': (64, 64), 'epochs': 15, 'test_accuracy': np.float64(0.9777777777777777)}\n" - ] - } ] }, { "cell_type": "code", + "execution_count": 40, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -2406,19 +2407,10 @@ "id": "18067a28", "outputId": "379593da-d211-440d-8437-43df0d43cc46" }, - "source": [ - "# Best test accuracy achieved and the corresponding hyperparameters.\n", - "print(f\"The best test accuracy achieved was: {best_accuracy:.4f}\")\n", - "print(\"The corresponding hyperparameters were:\")\n", - "print(f\" Learning Rate: {best_hyperparameters['learning_rate']}\")\n", - "print(f\" Hidden Layer Sizes: {best_hyperparameters['hidden_layer_sizes']}\")\n", - "print(f\" Epochs: {best_hyperparameters['epochs']}\")" - ], - "execution_count": 40, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "The best test accuracy achieved was: 0.9778\n", "The corresponding hyperparameters were:\n", @@ -2427,10 +2419,28 @@ " Epochs: 15\n" ] } + ], + "source": [ + "# Best test accuracy achieved and the corresponding hyperparameters.\n", + "print(f\"The best test accuracy achieved was: {best_accuracy:.4f}\")\n", + "print(\"The corresponding hyperparameters were:\")\n", + "print(f\" Learning Rate: {best_hyperparameters['learning_rate']}\")\n", + "print(f\" Hidden Layer Sizes: {best_hyperparameters['hidden_layer_sizes']}\")\n", + "print(f\" Epochs: {best_hyperparameters['epochs']}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "End of Lab 2." ] } ], "metadata": { + "colab": { + "provenance": [] + }, "kernelspec": { "display_name": ".venv", "language": "python", @@ -2447,11 +2457,8 @@ "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.12" - }, - "colab": { - "provenance": [] } }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/01_materials/labs/lab_3.ipynb b/01_materials/labs/lab_3.ipynb index 84647f6c..6d9d5114 100644 --- a/01_materials/labs/lab_3.ipynb +++ b/01_materials/labs/lab_3.ipynb @@ -69,24 +69,12 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " user_id item_id rating timestamp\n", - "0 196 242 3 881250949\n", - "1 186 302 3 891717742\n", - "2 22 377 1 878887116\n", - "3 244 51 2 880606923\n", - "4 166 346 1 886397596\n", - "... ... ... ... ...\n", - "99995 880 476 3 880175444\n", - "99996 716 204 5 879795543\n", - "99997 276 1090 1 874795795\n", - "99998 13 225 2 882399156\n", - "99999 12 203 3 879959583\n", - "\n", - "[100000 rows x 4 columns]" - ], + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"raw_ratings\",\n \"rows\": 100000,\n \"fields\": [\n {\n \"column\": \"user_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 266,\n \"min\": 1,\n \"max\": 943,\n \"num_unique_values\": 943,\n \"samples\": [\n 262,\n 136,\n 821\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"item_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 330,\n \"min\": 1,\n \"max\": 1682,\n \"num_unique_values\": 1682,\n \"samples\": [\n 1557,\n 808,\n 1618\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rating\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 1,\n \"max\": 5,\n \"num_unique_values\": 5,\n \"samples\": [\n 1,\n 5,\n 2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"timestamp\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5343856,\n \"min\": 874724710,\n \"max\": 893286638,\n \"num_unique_values\": 49282,\n \"samples\": [\n 889728713,\n 888443306,\n 880605158\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "raw_ratings" + }, "text/html": [ "\n", "
\n", @@ -461,14 +449,26 @@ "
\n", " \n" ], - "application/vnd.google.colaboratory.intrinsic+json": { - "type": "dataframe", - "variable_name": "raw_ratings", - "summary": "{\n \"name\": \"raw_ratings\",\n \"rows\": 100000,\n \"fields\": [\n {\n \"column\": \"user_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 266,\n \"min\": 1,\n \"max\": 943,\n \"num_unique_values\": 943,\n \"samples\": [\n 262,\n 136,\n 821\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"item_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 330,\n \"min\": 1,\n \"max\": 1682,\n \"num_unique_values\": 1682,\n \"samples\": [\n 1557,\n 808,\n 1618\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rating\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 1,\n \"max\": 5,\n \"num_unique_values\": 5,\n \"samples\": [\n 1,\n 5,\n 2\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"timestamp\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5343856,\n \"min\": 874724710,\n \"max\": 893286638,\n \"num_unique_values\": 49282,\n \"samples\": [\n 889728713,\n 888443306,\n 880605158\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" - } + "text/plain": [ + " user_id item_id rating timestamp\n", + "0 196 242 3 881250949\n", + "1 186 302 3 891717742\n", + "2 22 377 1 878887116\n", + "3 244 51 2 880606923\n", + "4 166 346 1 886397596\n", + "... ... ... ... ...\n", + "99995 880 476 3 880175444\n", + "99996 716 204 5 879795543\n", + "99997 276 1090 1 874795795\n", + "99998 13 225 2 882399156\n", + "99999 12 203 3 879959583\n", + "\n", + "[100000 rows x 4 columns]" + ] }, + "execution_count": 2, "metadata": {}, - "execution_count": 2 + "output_type": "execute_result" } ], "source": [ @@ -481,6 +481,7 @@ }, { "cell_type": "code", + "execution_count": 3, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -488,21 +489,20 @@ "id": "660ebd35", "outputId": "bc2af33b-36a0-462a-c754-30fe977cf7d4" }, - "source": [ - "if ML_100K_FOLDER.exists():\n", - " print(f\"{ML_100K_FOLDER} exists, the zip file was likely extracted.\")\n", - "else:\n", - " print(f\"{ML_100K_FOLDER} does not exist, the zip file may not have been extracted.\")" - ], - "execution_count": 3, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "ml-100k exists, the zip file was likely extracted.\n" ] } + ], + "source": [ + "if ML_100K_FOLDER.exists():\n", + " print(f\"{ML_100K_FOLDER} exists, the zip file was likely extracted.\")\n", + "else:\n", + " print(f\"{ML_100K_FOLDER} does not exist, the zip file may not have been extracted.\")" ] }, { @@ -531,37 +531,12 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " item_id title release_date \\\n", - "0 1 Toy Story (1995) 01-Jan-1995 \n", - "1 2 GoldenEye (1995) 01-Jan-1995 \n", - "2 3 Four Rooms (1995) 01-Jan-1995 \n", - "3 4 Get Shorty (1995) 01-Jan-1995 \n", - "4 5 Copycat (1995) 01-Jan-1995 \n", - "... ... ... ... \n", - "1677 1678 Mat' i syn (1997) 06-Feb-1998 \n", - "1678 1679 B. Monkey (1998) 06-Feb-1998 \n", - "1679 1680 Sliding Doors (1998) 01-Jan-1998 \n", - "1680 1681 You So Crazy (1994) 01-Jan-1994 \n", - "1681 1682 Scream of Stone (Schrei aus Stein) (1991) 08-Mar-1996 \n", - "\n", - " video_release_date imdb_url \n", - "0 NaN http://us.imdb.com/M/title-exact?Toy%20Story%2... \n", - "1 NaN http://us.imdb.com/M/title-exact?GoldenEye%20(... \n", - "2 NaN http://us.imdb.com/M/title-exact?Four%20Rooms%... \n", - "3 NaN http://us.imdb.com/M/title-exact?Get%20Shorty%... \n", - "4 NaN http://us.imdb.com/M/title-exact?Copycat%20(1995) \n", - "... ... ... \n", - "1677 NaN http://us.imdb.com/M/title-exact?Mat%27+i+syn+... \n", - "1678 NaN http://us.imdb.com/M/title-exact?B%2E+Monkey+(... \n", - "1679 NaN http://us.imdb.com/Title?Sliding+Doors+(1998) \n", - "1680 NaN http://us.imdb.com/M/title-exact?You%20So%20Cr... \n", - "1681 NaN http://us.imdb.com/M/title-exact?Schrei%20aus%... \n", - "\n", - "[1682 rows x 5 columns]" - ], + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"items\",\n \"rows\": 1682,\n \"fields\": [\n {\n \"column\": \"item_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 485,\n \"min\": 1,\n \"max\": 1682,\n \"num_unique_values\": 1682,\n \"samples\": [\n 1394,\n 744,\n 1606\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1664,\n \"samples\": [\n \"Madame Butterfly (1995)\",\n \"Wrong Trousers, The (1993)\",\n \"Breaking the Waves (1996)\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"release_date\",\n \"properties\": {\n \"dtype\": \"object\",\n \"num_unique_values\": 240,\n \"samples\": [\n \"01-Jan-1996\",\n \"05-Feb-1996\",\n \"22-Aug-1997\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"video_release_date\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"imdb_url\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 1660,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "items" + }, "text/html": [ "\n", "
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Monkey (1998) 06-Feb-1998 \n", + "1679 1680 Sliding Doors (1998) 01-Jan-1998 \n", + "1680 1681 You So Crazy (1994) 01-Jan-1994 \n", + "1681 1682 Scream of Stone (Schrei aus Stein) (1991) 08-Mar-1996 \n", + "\n", + " video_release_date imdb_url \n", + "0 NaN http://us.imdb.com/M/title-exact?Toy%20Story%2... \n", + "1 NaN http://us.imdb.com/M/title-exact?GoldenEye%20(... \n", + "2 NaN http://us.imdb.com/M/title-exact?Four%20Rooms%... \n", + "3 NaN http://us.imdb.com/M/title-exact?Get%20Shorty%... \n", + "4 NaN http://us.imdb.com/M/title-exact?Copycat%20(1995) \n", + "... ... ... \n", + "1677 NaN http://us.imdb.com/M/title-exact?Mat%27+i+syn+... \n", + "1678 NaN http://us.imdb.com/M/title-exact?B%2E+Monkey+(... \n", + "1679 NaN http://us.imdb.com/Title?Sliding+Doors+(1998) \n", + "1680 NaN http://us.imdb.com/M/title-exact?You%20So%20Cr... \n", + "1681 NaN http://us.imdb.com/M/title-exact?Schrei%20aus%... \n", + "\n", + "[1682 rows x 5 columns]" + ] }, + "execution_count": 4, "metadata": {}, - "execution_count": 4 + "output_type": "execute_result" } ], "source": [ @@ -1021,30 +1021,12 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - " item_id title release_date video_release_date \\\n", - "0 1 Toy Story (1995) 1995-01-01 NaN \n", - "1 1 Toy Story (1995) 1995-01-01 NaN \n", - "2 1 Toy Story (1995) 1995-01-01 NaN \n", - "3 1 Toy Story (1995) 1995-01-01 NaN \n", - "4 1 Toy Story (1995) 1995-01-01 NaN \n", - "\n", - " imdb_url release_year user_id \\\n", - "0 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 308 \n", - "1 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 287 \n", - "2 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 148 \n", - "3 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 280 \n", - "4 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 66 \n", - "\n", - " rating timestamp \n", - "0 4 887736532 \n", - "1 5 875334088 \n", - "2 4 877019411 \n", - "3 4 891700426 \n", - "4 3 883601324 " - ], + "application/vnd.google.colaboratory.intrinsic+json": { + "summary": "{\n \"name\": \"all_ratings\",\n \"rows\": 100000,\n \"fields\": [\n {\n \"column\": \"item_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 330,\n \"min\": 1,\n \"max\": 1682,\n \"num_unique_values\": 1682,\n \"samples\": [\n 1394,\n 744,\n 1606\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"title\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1664,\n \"samples\": [\n \"Madame Butterfly (1995)\",\n \"Wrong Trousers, The (1993)\",\n \"Breaking the Waves (1996)\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"release_date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"1922-01-01 00:00:00\",\n \"max\": \"1998-10-23 00:00:00\",\n \"num_unique_values\": 240,\n \"samples\": [\n \"1996-01-01 00:00:00\",\n \"1996-02-05 00:00:00\",\n \"1997-08-22 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"video_release_date\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": null,\n \"min\": null,\n \"max\": null,\n \"num_unique_values\": 0,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"imdb_url\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1660,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"release_year\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 14.155522633276282,\n \"min\": 1922.0,\n \"max\": 1998.0,\n \"num_unique_values\": 71,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"user_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 266,\n \"min\": 1,\n \"max\": 943,\n \"num_unique_values\": 943,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rating\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1,\n \"min\": 1,\n \"max\": 5,\n \"num_unique_values\": 5,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"timestamp\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5343856,\n \"min\": 874724710,\n \"max\": 893286638,\n \"num_unique_values\": 49282,\n \"samples\": [],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}", + "type": "dataframe", + "variable_name": "all_ratings" + }, "text/html": [ "\n", "
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} + "text/plain": [ + " item_id title release_date video_release_date \\\n", + "0 1 Toy Story (1995) 1995-01-01 NaN \n", + "1 1 Toy Story (1995) 1995-01-01 NaN \n", + "2 1 Toy Story (1995) 1995-01-01 NaN \n", + "3 1 Toy Story (1995) 1995-01-01 NaN \n", + "4 1 Toy Story (1995) 1995-01-01 NaN \n", + "\n", + " imdb_url release_year user_id \\\n", + "0 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 308 \n", + "1 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 287 \n", + "2 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 148 \n", + "3 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 280 \n", + "4 http://us.imdb.com/M/title-exact?Toy%20Story%2... 1995.0 66 \n", + "\n", + " rating timestamp \n", + "0 4 887736532 \n", + "1 5 875334088 \n", + "2 4 877019411 \n", + "3 4 891700426 \n", + "4 3 883601324 " + ] }, + "execution_count": 7, "metadata": {}, - "execution_count": 7 + "output_type": "execute_result" } ], "source": [ @@ -1389,29 +1389,11 @@ }, "outputs": [ { - 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\"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"release_year\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 34758.03282611,\n \"min\": 14.155522633276282,\n \"max\": 99991.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 1987.9562160594453\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"user_id\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 35202.138180539565,\n \"min\": 1.0,\n \"max\": 100000.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 462.48475\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rating\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 35354.245317453555,\n \"min\": 1.0,\n \"max\": 100000.0,\n \"num_unique_values\": 7,\n \"samples\": [\n 100000.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"timestamp\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 407843582.9913888,\n \"min\": 100000.0,\n \"max\": 893286638.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 883528851.48862\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" - } + "text/plain": [ + " item_id release_date video_release_date \\\n", + "count 100000.000000 99991 0.0 \n", + "mean 425.530130 1988-02-09 00:43:11.369223296 NaN \n", + "min 1.000000 1922-01-01 00:00:00 NaN \n", + "25% 175.000000 1986-01-01 00:00:00 NaN \n", + "50% 322.000000 1994-01-01 00:00:00 NaN \n", + "75% 631.000000 1996-09-28 00:00:00 NaN \n", + "max 1682.000000 1998-10-23 00:00:00 NaN \n", + "std 330.798356 NaN NaN \n", + "\n", + " release_year user_id rating timestamp \n", + "count 99991.000000 100000.00000 100000.000000 1.000000e+05 \n", + "mean 1987.956216 462.48475 3.529860 8.835289e+08 \n", + "min 1922.000000 1.00000 1.000000 8.747247e+08 \n", + "25% 1986.000000 254.00000 3.000000 8.794487e+08 \n", + "50% 1994.000000 447.00000 4.000000 8.828269e+08 \n", + "75% 1996.000000 682.00000 4.000000 8.882600e+08 \n", + "max 1998.000000 943.00000 5.000000 8.932866e+08 \n", + "std 14.155523 266.61442 1.125674 5.343856e+06 " + ] }, + "execution_count": 8, "metadata": {}, - "execution_count": 8 + "output_type": "execute_result" } ], "source": [ @@ -1783,14 +1783,14 @@ }, "outputs": [ { - "output_type": "display_data", "data": { + "image/png": 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", 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\n" + ] }, - "metadata": {} + "metadata": {}, + "output_type": "display_data" } ], "source": [ @@ -1809,14 +1809,14 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { "text/plain": [ "np.int64(141)" ] }, + "execution_count": 11, "metadata": {}, - "execution_count": 11 + "output_type": "execute_result" } ], "source": [ @@ -1836,21 +1836,7 @@ }, "outputs": [ { - "output_type": "execute_result", "data": { - "text/plain": [ - "49 Star Wars (1977)\n", - "257 Contact (1997)\n", - "99 Fargo (1996)\n", - "180 Return of the Jedi (1983)\n", - "293 Liar Liar (1997)\n", - "285 English Patient, The (1996)\n", - "287 Scream (1996)\n", - "0 Toy Story (1995)\n", - "299 Air Force One (1997)\n", - "120 Independence Day (ID4) (1996)\n", - "Name: title, dtype: object" - ], "text/html": [ "
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