diff --git "a/deepl_ner.ipynb" "b/deepl_ner.ipynb" --- "a/deepl_ner.ipynb" +++ "b/deepl_ner.ipynb" @@ -23,19 +23,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 238, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[nltk_data] Downloading package punkt_tab to /Users/az-r-\n", - "[nltk_data] ow/nltk_data...\n", - "[nltk_data] Package punkt_tab is already up-to-date!\n" - ] - } - ], + "outputs": [], "source": [ "from app.travel_resolver.libs.nlp import data_processing as dp\n", "\n", @@ -46,7 +36,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 239, "metadata": {}, "outputs": [], "source": [ @@ -57,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 240, "metadata": {}, "outputs": [], "source": [ @@ -68,7 +58,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 241, "metadata": {}, "outputs": [], "source": [ @@ -78,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 242, "metadata": {}, "outputs": [], "source": [ @@ -86,7 +76,7 @@ " sentences,\n", " labels,\n", " rm_stopwords: bool = False,\n", - " stemming: bool = True,\n", + " stemming: bool = False,\n", " return_tokens: bool = False,\n", "):\n", " \"\"\"\n", @@ -122,7 +112,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 243, "metadata": {}, "outputs": [], "source": [ @@ -133,7 +123,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 244, "metadata": {}, "outputs": [ { @@ -158,7 +148,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 245, "metadata": {}, "outputs": [], "source": [ @@ -172,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 246, "metadata": {}, "outputs": [], "source": [ @@ -202,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 247, "metadata": {}, "outputs": [], "source": [ @@ -213,7 +203,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 248, "metadata": {}, "outputs": [], "source": [ @@ -222,7 +212,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 249, "metadata": {}, "outputs": [], "source": [ @@ -233,7 +223,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 250, "metadata": {}, "outputs": [], "source": [ @@ -244,17 +234,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 251, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "2024-11-29 13:30:40.426412: I tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence\n" - ] - } - ], + "outputs": [], "source": [ "dataset = tf.data.Dataset.from_tensor_slices((encoded_sentences, padded_labels))\n", "\n", @@ -292,7 +274,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 252, "metadata": {}, "outputs": [], "source": [ @@ -345,7 +327,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 253, "metadata": {}, "outputs": [], "source": [ @@ -393,7 +375,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 254, "metadata": {}, "outputs": [], "source": [ @@ -436,7 +418,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 255, "metadata": {}, "outputs": [], "source": [ @@ -465,7 +447,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 256, "metadata": {}, "outputs": [], "source": [ @@ -511,7 +493,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 317, "metadata": {}, "outputs": [], "source": [ @@ -544,6 +526,8 @@ "\n", " # Perform argmax to get the predicted values\n", " y_pred_class = tf.math.argmax(y_pred, axis=-1)\n", + "\n", + " print(y_pred_class.shape)\n", " # Cast the tensors to float32\n", " y_true = tf.cast(y_true, tf.float32)\n", " y_pred_class = tf.cast(y_pred_class, tf.float32)\n", @@ -600,7 +584,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 258, "metadata": {}, "outputs": [], "source": [ @@ -675,7 +659,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 259, "metadata": {}, "outputs": [], "source": [ @@ -691,7 +675,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 260, "metadata": {}, "outputs": [], "source": [ @@ -704,7 +688,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 261, "metadata": {}, "outputs": [ { @@ -712,18 +696,18 @@ "output_type": "stream", "text": [ "Epoch 1/10\n", - "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 64ms/step - loss: 0.1936 - masked_accuracy: 0.9304 - val_loss: 0.0115 - val_masked_accuracy: 0.9961\n", + "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 65ms/step - loss: 0.1749 - masked_accuracy: 0.9371 - val_loss: 0.0124 - val_masked_accuracy: 0.9963\n", "Epoch 2/10\n", - "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 63ms/step - loss: 0.0077 - masked_accuracy: 0.9976 - val_loss: 0.0118 - val_masked_accuracy: 0.9965\n" + "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 63ms/step - loss: 0.0092 - masked_accuracy: 0.9972 - val_loss: 0.0131 - val_masked_accuracy: 0.9962\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 24, + "execution_count": 261, "metadata": {}, "output_type": "execute_result" } @@ -744,7 +728,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 262, "metadata": {}, "outputs": [ { @@ -761,7 +745,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 263, "metadata": {}, "outputs": [ { @@ -769,8 +753,8 @@ "output_type": "stream", "text": [ "\u001b[1m24/24\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step\n", - "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 8ms/step \n", - "\u001b[1m3/3\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 11ms/step\n" + "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 10ms/step\n", + "\u001b[1m3/3\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14ms/step\n" ] } ], @@ -782,16 +766,16 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 264, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Eval short sentences accuracy: 0.9353222\n", - "Eval unlabeled sentences accuracy: 0.99639314\n", - "Eval large sentences accuracy: 0.97779137\n" + "Eval short sentences accuracy: 0.9202864\n", + "Eval unlabeled sentences accuracy: 0.99549145\n", + "Eval large sentences accuracy: 0.9751426\n" ] } ], @@ -819,15 +803,15 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 265, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Eval short sentences tag accuracy: 0.755648\n", - "Eval large sentences tag accuracy: 0.6894977\n" + "Eval short sentences tag accuracy: 0.71105826\n", + "Eval large sentences tag accuracy: 0.7762557\n" ] } ], @@ -844,12 +828,12 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 266, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -893,7 +877,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 267, "metadata": {}, "outputs": [], "source": [ @@ -937,14 +921,14 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 268, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 30/30 [00:09<00:00, 3.00it/s]\n" + "100%|██████████| 30/30 [00:09<00:00, 3.02it/s]\n" ] } ], @@ -954,46 +938,53 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 269, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 15ms/step\n", - "Je: O\n", - "veux: O\n", - "prendre: O\n", - "un: O\n", - "vol: O\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n", + "J'ai: O\n", + "passé: O\n", + "de: O\n", + "belles: O\n", + "vacances: O\n", + "à: O\n", + "Paris: O\n", + ".: O\n", + "C'est: O\n", + "l'heure: O\n", "de: O\n", - "Montpellier: LOC-DEP\n", + "rentrer: O\n", "à: O\n", - "Paris: LOC-ARR\n", + "Montpellier: O\n", ".: O\n" ] } ], "source": [ - "test_sentence = \"Je veux prendre un vol de Montpellier à Paris.\"\n", + "test_sentence = (\n", + " \"J'ai passé de belles vacances à Paris. C'est l'heure de rentrer à Montpellier.\"\n", + ")\n", "\n", "test_pred = predict(test_sentence, lstm)" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 270, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
Model: \"sequential\"\n",
+       "
Model: \"sequential_8\"\n",
        "
\n" ], "text/plain": [ - "\u001b[1mModel: \"sequential\"\u001b[0m\n" + "\u001b[1mModel: \"sequential_8\"\u001b[0m\n" ] }, "metadata": {}, @@ -1005,13 +996,13 @@ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
        "┃ Layer (type)                     Output Shape                  Param # ┃\n",
        "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
-       "│ embedding (Embedding)           │ (None, 100, 100)       │       500,000 │\n",
+       "│ embedding_8 (Embedding)         │ (None, 100, 100)       │       558,500 │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ lstm (LSTM)                     │ (None, 100, 100)       │        80,400 │\n",
+       "│ lstm_8 (LSTM)                   │ (None, 100, 100)       │        80,400 │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout (Dropout)               │ (None, 100, 100)       │             0 │\n",
+       "│ dropout_8 (Dropout)             │ (None, 100, 100)       │             0 │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense (Dense)                   │ (None, 100, 3)         │           303 │\n",
+       "│ dense_8 (Dense)                 │ (None, 100, 3)         │           303 │\n",
        "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
        "
\n" ], @@ -1019,13 +1010,13 @@ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\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", - "│ embedding (\u001b[38;5;33mEmbedding\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m500,000\u001b[0m │\n", + "│ embedding_8 (\u001b[38;5;33mEmbedding\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m558,500\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ lstm (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m80,400\u001b[0m │\n", + "│ lstm_8 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m80,400\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dropout (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", + "│ dropout_8 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m100\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dense (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m303\u001b[0m │\n", + "│ dense_8 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m100\u001b[0m, \u001b[38;5;34m3\u001b[0m) │ \u001b[38;5;34m303\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ] }, @@ -1035,11 +1026,11 @@ { "data": { "text/html": [ - "
 Total params: 1,742,111 (6.65 MB)\n",
+       "
 Total params: 1,917,611 (7.32 MB)\n",
        "
\n" ], "text/plain": [ - "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,742,111\u001b[0m (6.65 MB)\n" + "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m1,917,611\u001b[0m (7.32 MB)\n" ] }, "metadata": {}, @@ -1048,11 +1039,11 @@ { "data": { "text/html": [ - "
 Trainable params: 580,703 (2.22 MB)\n",
+       "
 Trainable params: 639,203 (2.44 MB)\n",
        "
\n" ], "text/plain": [ - "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m580,703\u001b[0m (2.22 MB)\n" + "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m639,203\u001b[0m (2.44 MB)\n" ] }, "metadata": {}, @@ -1074,11 +1065,11 @@ { "data": { "text/html": [ - "
 Optimizer params: 1,161,408 (4.43 MB)\n",
+       "
 Optimizer params: 1,278,408 (4.88 MB)\n",
        "
\n" ], "text/plain": [ - "\u001b[1m Optimizer params: \u001b[0m\u001b[38;5;34m1,161,408\u001b[0m (4.43 MB)\n" + "\u001b[1m Optimizer params: \u001b[0m\u001b[38;5;34m1,278,408\u001b[0m (4.88 MB)\n" ] }, "metadata": {}, @@ -1116,7 +1107,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 271, "metadata": {}, "outputs": [], "source": [ @@ -1134,7 +1125,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 272, "metadata": {}, "outputs": [], "source": [ @@ -1147,17 +1138,17 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 273, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
Model: \"sequential_1\"\n",
+       "
Model: \"sequential_9\"\n",
        "
\n" ], "text/plain": [ - "\u001b[1mModel: \"sequential_1\"\u001b[0m\n" + "\u001b[1mModel: \"sequential_9\"\u001b[0m\n" ] }, "metadata": {}, @@ -1169,13 +1160,13 @@ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
        "┃ Layer (type)                     Output Shape                  Param # ┃\n",
        "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
-       "│ embedding_1 (Embedding)         │ ?                      │   0 (unbuilt) │\n",
+       "│ embedding_9 (Embedding)         │ ?                      │   0 (unbuilt) │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ bidirectional (Bidirectional)   │ ?                      │   0 (unbuilt) │\n",
+       "│ bidirectional_4 (Bidirectional) │ ?                      │   0 (unbuilt) │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dropout_1 (Dropout)             │ ?                      │             0 │\n",
+       "│ dropout_9 (Dropout)             │ ?                      │             0 │\n",
        "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
-       "│ dense_1 (Dense)                 │ ?                      │   0 (unbuilt) │\n",
+       "│ dense_9 (Dense)                 │ ?                      │   0 (unbuilt) │\n",
        "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
        "
\n" ], @@ -1183,13 +1174,13 @@ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\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", - "│ embedding_1 (\u001b[38;5;33mEmbedding\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n", + "│ embedding_9 (\u001b[38;5;33mEmbedding\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ bidirectional (\u001b[38;5;33mBidirectional\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n", + "│ bidirectional_4 (\u001b[38;5;33mBidirectional\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dropout_1 (\u001b[38;5;33mDropout\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m │\n", + "│ dropout_9 (\u001b[38;5;33mDropout\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", - "│ dense_1 (\u001b[38;5;33mDense\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n", + "│ dense_9 (\u001b[38;5;33mDense\u001b[0m) │ ? │ \u001b[38;5;34m0\u001b[0m (unbuilt) │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ] }, @@ -1242,7 +1233,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 274, "metadata": {}, "outputs": [ { @@ -1250,18 +1241,18 @@ "output_type": "stream", "text": [ "Epoch 1/10\n", - "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 92ms/step - loss: 0.1858 - masked_accuracy: 0.9354 - val_loss: 0.0052 - val_masked_accuracy: 0.9984\n", + "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m15s\u001b[0m 89ms/step - loss: 0.1722 - masked_accuracy: 0.9377 - val_loss: 0.0020 - val_masked_accuracy: 0.9992\n", "Epoch 2/10\n", - "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 124ms/step - loss: 0.0041 - masked_accuracy: 0.9987 - val_loss: 0.0018 - val_masked_accuracy: 0.9994\n" + "\u001b[1m148/148\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m18s\u001b[0m 120ms/step - loss: 0.0015 - masked_accuracy: 0.9996 - val_loss: 7.4828e-04 - val_masked_accuracy: 0.9998\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 37, + "execution_count": 274, "metadata": {}, "output_type": "execute_result" } @@ -1282,16 +1273,16 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 275, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[1m24/24\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 20ms/step\n", - "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step\n", - "\u001b[1m3/3\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 14ms/step\n" + "\u001b[1m24/24\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step\n", + "\u001b[1m4/4\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 11ms/step\n", + "\u001b[1m3/3\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n" ] } ], @@ -1303,14 +1294,14 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 276, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 30/30 [00:21<00:00, 1.42it/s]\n" + "100%|██████████| 30/30 [00:18<00:00, 1.59it/s]\n" ] } ], @@ -1320,12 +1311,12 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 277, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -1369,19 +1360,19 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 278, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 13ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n", "Je: O\n", "pensais: O\n", "partir: O\n", "de: O\n", - "Bangkok: LOC-DEP\n", + "Bangkok: O\n", ".: O\n", "Mais: O\n", "finalement: O\n", @@ -1393,9 +1384,9 @@ "un: O\n", "voyage: O\n", "de: O\n", - "Tokyo: LOC-DEP\n", + "Tokyo: O\n", "vers: O\n", - "Osaka: LOC-DEP\n", + "Osaka: O\n", ".: O\n" ] } @@ -1404,7 +1395,7 @@ "test_sentence = \"Je pensais partir de Bangkok. Mais finalement, je vais devoir trouver un voyage de Tokyo vers Osaka.\"\n", "\n", "\n", - "p = predict(test_sentence, lstm)" + "p = predict(test_sentence, bilstm)" ] }, { @@ -1418,44 +1409,50 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "The tokenizer used will be CNRS' [FlauBERT](https://huggingface.co/flaubert/flaubert_base_uncased) which has been trained on a large heterogeneous French corpus.\n" + "The model used will be the fine-tuned version of [CamemBERT](https://huggingface.co/almanach/camembert-base) which is a state-of-the-art language model for French text.\n", + "\n", + "The model has been fine-tuned for out task [in here](./camemBERT_finetuning.ipynb) and saved on Hugging Face for convenience.\n", + "\n", + "> TODO : Add a link to the model from hugging face\n" ] }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 279, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Some layers from the model checkpoint at ./models/camembert were not used when initializing TFCamembertForTokenClassification: ['dropout_37']\n", + "- This IS expected if you are initializing TFCamembertForTokenClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n", + "- This IS NOT expected if you are initializing TFCamembertForTokenClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n", + "All the layers of TFCamembertForTokenClassification were initialized from the model checkpoint at ./models/camembert.\n", + "If your task is similar to the task the model of the checkpoint was trained on, you can already use TFCamembertForTokenClassification for predictions without further training.\n" + ] + } + ], "source": [ "import tensorflow as tf\n", - "from transformers import TFBertForTokenClassification, BertTokenizer\n", + "from transformers import TFAutoModelForTokenClassification, CamembertTokenizer\n", "import numpy as np\n", "\n", - "tokenizer = BertTokenizer.from_pretrained(\"bert-base-uncased\")" + "tokenizer = CamembertTokenizer.from_pretrained(\"camembert-base\")\n", + "camembert = TFAutoModelForTokenClassification.from_pretrained(\"./models/camembert\")" ] }, { "cell_type": "code", - "execution_count": 62, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "input_ids = []\n", - "attention_masks = []\n", + "sentence = \"Je veux partir de Paris pour aller à Tokyo.\"\n", "\n", - "for sentence in sentences:\n", - " encoding = tokenizer(\n", - " sentence.split(),\n", - " is_split_into_words=True,\n", - " padding=\"max_length\",\n", - " truncation=True,\n", - " max_length=MAX_LEN,\n", - " )\n", - " input_ids.append(encoding[\"input_ids\"])\n", - " attention_masks.append(encoding[\"attention_mask\"])\n", - "\n", - "input_ids = np.array(input_ids)\n", - "attention_masks = np.array(attention_masks)" + "inputs = tokenizer(\n", + " sentence return_tensors=\"tf\", padding=\"max_length\", max_length=MAX_LEN\n", + ")" ] }, { @@ -1464,66 +1461,15327 @@ "metadata": {}, "outputs": [ { - "name": "stderr", + "data": { + "text/plain": [ + "[['Mon',\n", + " 'trajet',\n", + " 'commence',\n", + " 'à',\n", + " 'MORMANT',\n", + " 'et',\n", + " 'se',\n", + " 'termine',\n", + " 'à',\n", + " 'POLIENAS',\n", + " '.'],\n", + " ['Un',\n", + " 'vol',\n", + " 'qui',\n", + " 'part',\n", + " 'de',\n", + " 'LILLE',\n", + " 'et',\n", + " 'arrive',\n", + " 'à',\n", + " 'ALLASSAC',\n", + " 'serait',\n", + " 'parfait',\n", + " '.'],\n", + " ['Je',\n", + " 'recherche',\n", + " 'un',\n", + " 'train',\n", + " 'de',\n", + " 'SAINT-NAZAIRE',\n", + " 'à',\n", + " 'MORLAIX',\n", + " '.'],\n", + " ['Mon',\n", + " 'trajet',\n", + " 'commence',\n", + " 'à',\n", + " 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'SAINT-PIERRE-QUIBERON',\n", + " \"m'intéresse\",\n", + " '.'],\n", + " ['Je',\n", + " 'dois',\n", + " 'aller',\n", + " 'de',\n", + " 'VALLOIRE-SUR-CISSE',\n", + " 'vers',\n", + " 'SAINT',\n", + " 'BONNET-LAVAL',\n", + " 'la',\n", + " 'semaine',\n", + " 'prochaine',\n", + " '.'],\n", + " ['Trouve',\n", + " 'un',\n", + " 'billet',\n", + " 'de',\n", + " 'train',\n", + " 'qui',\n", + " 'part',\n", + " 'de',\n", + " 'LONGUE-JUMELLES',\n", + " 'à',\n", + " 'destination',\n", + " 'de',\n", + " 'SAINT-HERBLAIN',\n", + " '.'],\n", + " ['Je',\n", + " 'recherche',\n", + " 'un',\n", + " 'train',\n", + " 'de',\n", + " 'AUBIN',\n", + " 'à',\n", + " 'BOULOGNE-SUR-MER',\n", + " '.'],\n", + " ['Je', 'cherche', 'un', 'vol', 'entre', 'PATAY', 'et', 'MASSERAC', '.'],\n", + " ['Trouve-moi',\n", + " 'un',\n", + " 'billet',\n", + " 'pour',\n", + " 'un',\n", + " 'départ',\n", + " 'depuis',\n", + " 'PIERREVILLE',\n", + " 'jusqu',\n", + " '’',\n", + " 'à',\n", + " 'RIEDSELTZ',\n", + " '.'],\n", + " ['Mon',\n", + " 'itinéraire',\n", + " 'comprend',\n", + " 'un',\n", + " 'départ',\n", + " 'de',\n", + " 'DUPPIGHEIM',\n", + " 'pour',\n", + " 'FARSCHVILLER',\n", + " '.'],\n", + " ['Mon',\n", + " 'vol',\n", + " 'part',\n", + " 'de',\n", + " 'VIERZON',\n", + " 'et',\n", + " 'arrivera',\n", + " 'à',\n", + " 'SAINT-ANTOINE-DE-BREUILH',\n", + " '.'],\n", + " [\"J'ai\",\n", + " 'besoin',\n", + " \"d'un\",\n", + " 'vol',\n", + " 'qui',\n", + " 'part',\n", + " 'de',\n", + " 'SAINT-JODARD',\n", + " 'et',\n", + " 'arrive',\n", + " 'à',\n", + " 'ROUNTZENHEIM-AUENHEIM',\n", + " '.'],\n", + " ['Un',\n", + " 'vol',\n", + " 'qui',\n", + " 'part',\n", + " 'de',\n", + " 'MIRECOURT',\n", + " 'et',\n", + " 'arrive',\n", + " 'à',\n", + " 'MONTREUX-CHATEAU',\n", + " 'serait',\n", + " 'parfait',\n", + " '.']]" + ] + }, + "execution_count": 303, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "eval_short_sentences" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "tokenized_eval_short_sentences = tokenizer(\n", + " eval_short_sentences,\n", + " is_split_into_words=True,\n", + " return_tensors=\"tf\",\n", + " padding=\"max_length\",\n", + " max_length=MAX_LEN,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", "output_type": "stream", "text": [ - "2024-11-29 17:41:41.086543: I tensorflow/core/framework/local_rendezvous.cc:404] Local rendezvous is aborting with status: OUT_OF_RANGE: End of sequence\n" + "24/24 [==============================] - 42s 2s/step\n" ] } ], "source": [ - "train_dataset = tf.data.Dataset.from_tensor_slices(\n", - " (\n", - " {\n", - " \"input_ids\": input_ids,\n", - " \"attention_mask\": attention_masks,\n", - " },\n", - " padded_labels,\n", - " )\n", + "camembert_short_sentences_predictions = camembert.predict(\n", + " tokenized_eval_short_sentences\n", ")\n", "\n", - "train_dataset, test_dataset = tf.keras.utils.split_dataset(train_dataset, left_size=0.8)" + "# camembert_unlabeled_sentences_predictions = camembert.predict(tokenized_eval_unlabeled_sentences)\n", + "# camembert_large_sentences_predictions = camembert.predict(tokenized_eval_large_sentences)" ] }, { "cell_type": "code", - "execution_count": 68, + "execution_count": null, "metadata": {}, "outputs": [ { - "name": "stderr", + "ename": "AttributeError", + "evalue": "'tensorflow.python.framework.ops.EagerTensor' object has no attribute 'shapes'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[315], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m test_predictions \u001b[38;5;241m=\u001b[39m tf\u001b[38;5;241m.\u001b[39margmax(camembert_short_sentences_predictions\u001b[38;5;241m.\u001b[39mlogits, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m----> 3\u001b[0m \u001b[43mtest_predictions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshapes\u001b[49m\n", + "File \u001b[0;32m~/Developer/TravelOrderResolver/venv/lib/python3.12/site-packages/tensorflow/python/framework/tensor.py:260\u001b[0m, in \u001b[0;36mTensor.__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m 252\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m name \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mT\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mastype\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mravel\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtranspose\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mreshape\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mclip\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msize\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[1;32m 253\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mtolist\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdata\u001b[39m\u001b[38;5;124m\"\u001b[39m}:\n\u001b[1;32m 254\u001b[0m \u001b[38;5;66;03m# TODO(wangpeng): Export the enable_numpy_behavior knob\u001b[39;00m\n\u001b[1;32m 255\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\n\u001b[1;32m 256\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00m\u001b[38;5;28mtype\u001b[39m(\u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m object has no attribute \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mname\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\"\"\u001b[39m\n\u001b[1;32m 257\u001b[0m \u001b[38;5;124m If you are looking for numpy-related methods, please run the following:\u001b[39m\n\u001b[1;32m 258\u001b[0m \u001b[38;5;124m tf.experimental.numpy.experimental_enable_numpy_behavior()\u001b[39m\n\u001b[1;32m 259\u001b[0m \u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\"\"\u001b[39m)\n\u001b[0;32m--> 260\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[38;5;21;43m__getattribute__\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m)\u001b[49m\n", + "\u001b[0;31mAttributeError\u001b[0m: 'tensorflow.python.framework.ops.EagerTensor' object has no attribute 'shapes'" + ] + } + ], + "source": [ + "test_predictions = tf.argmax(camembert_short_sentences_predictions.logits, axis=-1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", "output_type": "stream", "text": [ - "All PyTorch model weights were used when initializing TFBertForTokenClassification.\n", - "\n", - "Some weights or buffers of the TF 2.0 model TFBertForTokenClassification were not initialized from the PyTorch model and are newly initialized: ['classifier.weight', 'classifier.bias']\n", - "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" + "(757,)\n" ] }, { - "ename": "ValueError", - "evalue": "Could not interpret optimizer identifier: ", + "ename": "InvalidArgumentError", + "evalue": "{{function_node __wrapped__Mul_device_/job:localhost/replica:0/task:0/device:CPU:0}} Incompatible shapes: [757] vs. [757,100,3] [Op:Mul] name: ", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[68], line 5\u001b[0m\n\u001b[1;32m 1\u001b[0m bert \u001b[38;5;241m=\u001b[39m TFBertForTokenClassification\u001b[38;5;241m.\u001b[39mfrom_pretrained(\n\u001b[1;32m 2\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbert-base-uncased\u001b[39m\u001b[38;5;124m\"\u001b[39m, num_labels\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mlen\u001b[39m(unique_labels)\n\u001b[1;32m 3\u001b[0m )\n\u001b[0;32m----> 5\u001b[0m \u001b[43mbert\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompile\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 6\u001b[0m \u001b[43m \u001b[49m\u001b[43moptimizer\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkeras\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43moptimizers\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mAdam\u001b[49m\u001b[43m(\u001b[49m\u001b[43mlearning_rate\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m5e-5\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 7\u001b[0m \u001b[43m \u001b[49m\u001b[43mloss\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtf\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkeras\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlosses\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mSparseCategoricalCrossentropy\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfrom_logits\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 8\u001b[0m \u001b[43m \u001b[49m\u001b[43mmetrics\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\u001b[43mmasked_accuracy\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m)\u001b[49m\n", - "File \u001b[0;32m~/Developer/TravelOrderResolver/venv/lib/python3.12/site-packages/transformers/modeling_tf_utils.py:1563\u001b[0m, in \u001b[0;36mTFPreTrainedModel.compile\u001b[0;34m(self, optimizer, loss, metrics, loss_weights, weighted_metrics, run_eagerly, steps_per_execution, **kwargs)\u001b[0m\n\u001b[1;32m 1561\u001b[0m \u001b[38;5;66;03m# This argument got renamed, we need to support both versions\u001b[39;00m\n\u001b[1;32m 1562\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msteps_per_execution\u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;129;01min\u001b[39;00m parent_args:\n\u001b[0;32m-> 1563\u001b[0m \u001b[38;5;28;43msuper\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcompile\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1564\u001b[0m \u001b[43m \u001b[49m\u001b[43moptimizer\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptimizer\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1565\u001b[0m \u001b[43m \u001b[49m\u001b[43mloss\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mloss\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1566\u001b[0m \u001b[43m \u001b[49m\u001b[43mmetrics\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetrics\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1567\u001b[0m \u001b[43m \u001b[49m\u001b[43mloss_weights\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mloss_weights\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1568\u001b[0m \u001b[43m \u001b[49m\u001b[43mweighted_metrics\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mweighted_metrics\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1569\u001b[0m \u001b[43m \u001b[49m\u001b[43mrun_eagerly\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_eagerly\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1570\u001b[0m \u001b[43m \u001b[49m\u001b[43msteps_per_execution\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msteps_per_execution\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1571\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1572\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1573\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1574\u001b[0m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mcompile(\n\u001b[1;32m 1575\u001b[0m optimizer\u001b[38;5;241m=\u001b[39moptimizer,\n\u001b[1;32m 1576\u001b[0m loss\u001b[38;5;241m=\u001b[39mloss,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1582\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 1583\u001b[0m )\n", - "File \u001b[0;32m~/Developer/TravelOrderResolver/venv/lib/python3.12/site-packages/tf_keras/src/utils/traceback_utils.py:70\u001b[0m, in \u001b[0;36mfilter_traceback..error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 67\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n\u001b[1;32m 68\u001b[0m \u001b[38;5;66;03m# To get the full stack trace, call:\u001b[39;00m\n\u001b[1;32m 69\u001b[0m \u001b[38;5;66;03m# `tf.debugging.disable_traceback_filtering()`\u001b[39;00m\n\u001b[0;32m---> 70\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\u001b[38;5;241m.\u001b[39mwith_traceback(filtered_tb) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 71\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 72\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m filtered_tb\n", - "File \u001b[0;32m~/Developer/TravelOrderResolver/venv/lib/python3.12/site-packages/tf_keras/src/optimizers/__init__.py:335\u001b[0m, in \u001b[0;36mget\u001b[0;34m(identifier, **kwargs)\u001b[0m\n\u001b[1;32m 330\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m get(\n\u001b[1;32m 331\u001b[0m config,\n\u001b[1;32m 332\u001b[0m use_legacy_optimizer\u001b[38;5;241m=\u001b[39muse_legacy_optimizer,\n\u001b[1;32m 333\u001b[0m )\n\u001b[1;32m 334\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 335\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 336\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCould not interpret optimizer identifier: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00midentifier\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 337\u001b[0m )\n", - "\u001b[0;31mValueError\u001b[0m: Could not interpret optimizer identifier: " + "\u001b[0;31mInvalidArgumentError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[318], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mconfusion_matrix\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mcamembert_short_sentences_predictions\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlogits\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 3\u001b[0m \u001b[43m \u001b[49m\u001b[43mpadded_eval_short_labels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 4\u001b[0m \u001b[43m \u001b[49m\u001b[43munique_labels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 5\u001b[0m \u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[317], line 41\u001b[0m, in \u001b[0;36mconfusion_matrix\u001b[0;34m(y_true, y_pred, unique_labels, title, return_ax, ax)\u001b[0m\n\u001b[1;32m 39\u001b[0m y_true \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m=\u001b[39m mask\n\u001b[1;32m 40\u001b[0m \u001b[38;5;66;03m# Multiply the predicted values by the mask\u001b[39;00m\n\u001b[0;32m---> 41\u001b[0m \u001b[43my_pred_class\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mmask\u001b[49m\n\u001b[1;32m 43\u001b[0m \u001b[38;5;66;03m# Flattening to match the confusion matrix function signature\u001b[39;00m\n\u001b[1;32m 44\u001b[0m y_true_flat \u001b[38;5;241m=\u001b[39m tf\u001b[38;5;241m.\u001b[39mreshape(y_true, [\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m])\n", + "File \u001b[0;32m~/Developer/TravelOrderResolver/venv/lib/python3.12/site-packages/tensorflow/python/util/traceback_utils.py:153\u001b[0m, in \u001b[0;36mfilter_traceback..error_handler\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 151\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 152\u001b[0m filtered_tb \u001b[38;5;241m=\u001b[39m _process_traceback_frames(e\u001b[38;5;241m.\u001b[39m__traceback__)\n\u001b[0;32m--> 153\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m e\u001b[38;5;241m.\u001b[39mwith_traceback(filtered_tb) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m 154\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[1;32m 155\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m filtered_tb\n", + "File \u001b[0;32m~/Developer/TravelOrderResolver/venv/lib/python3.12/site-packages/tensorflow/python/framework/ops.py:5983\u001b[0m, in \u001b[0;36mraise_from_not_ok_status\u001b[0;34m(e, name)\u001b[0m\n\u001b[1;32m 5982\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mto_raw_op\u001b[39m(f: types\u001b[38;5;241m.\u001b[39mFunctionType) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Callable[\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;241m.\u001b[39m, Any]:\n\u001b[0;32m-> 5983\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Make a given op wrapper function `f` raw.\u001b[39;00m\n\u001b[1;32m 5984\u001b[0m \n\u001b[1;32m 5985\u001b[0m \u001b[38;5;124;03m Raw op wrappers can only be called with keyword arguments.\u001b[39;00m\n\u001b[1;32m 5986\u001b[0m \n\u001b[1;32m 5987\u001b[0m \u001b[38;5;124;03m Args:\u001b[39;00m\n\u001b[1;32m 5988\u001b[0m \u001b[38;5;124;03m f: An op wrapper function to make raw.\u001b[39;00m\n\u001b[1;32m 5989\u001b[0m \n\u001b[1;32m 5990\u001b[0m \u001b[38;5;124;03m Returns:\u001b[39;00m\n\u001b[1;32m 5991\u001b[0m \u001b[38;5;124;03m Raw `f`.\u001b[39;00m\n\u001b[1;32m 5992\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m 5993\u001b[0m \u001b[38;5;66;03m# Copy `f` to get a new `__dict__`, otherwise `tf_export` will fail\u001b[39;00m\n\u001b[1;32m 5994\u001b[0m \u001b[38;5;66;03m# due to double-registration.\u001b[39;00m\n\u001b[1;32m 5995\u001b[0m f \u001b[38;5;241m=\u001b[39m types\u001b[38;5;241m.\u001b[39mFunctionType(f\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__code__\u001b[39m, f\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__globals__\u001b[39m, f\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, f\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__defaults__\u001b[39m,\n\u001b[1;32m 5996\u001b[0m f\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__closure__\u001b[39m)\n", + "\u001b[0;31mInvalidArgumentError\u001b[0m: {{function_node __wrapped__Mul_device_/job:localhost/replica:0/task:0/device:CPU:0}} Incompatible shapes: [757] vs. [757,100,3] [Op:Mul] name: " ] } ], "source": [ - "bert = TFBertForTokenClassification.from_pretrained(\n", - " \"bert-base-uncased\", num_labels=len(unique_labels)\n", - ")\n", - "\n", - "bert.compile(\n", - " optimizer=tf.keras.optimizers.Adam(learning_rate=5e-5),\n", - " loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n", - " metrics=[masked_accuracy],\n", + "confusion_matrix(\n", + " padded_eval_short_labels,\n", + " camembert_short_sentences_predictions.logits,\n", + " unique_labels,\n", ")" ] }, @@ -1536,7 +16794,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 282, "metadata": {}, "outputs": [], "source": [ @@ -1629,14 +16887,14 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 283, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 757/757 [00:00<00:00, 3648.94it/s]\n" + "100%|██████████| 757/757 [00:00<00:00, 3743.50it/s]\n" ] }, { @@ -1658,19 +16916,19 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 284, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 757/757 [00:00<00:00, 38846.60it/s]\n" + "100%|██████████| 757/757 [00:00<00:00, 36883.60it/s]\n" ] }, { "data": { - "image/png": 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rVq3N1ti6desNRkZs6M/Wd7Vr1y5ee+21WLNmzXpT6d9K82esdevWUVJSErNnz47dd9+9dP+CBQti6dKl0bp163Jf6z81adIkBg4cGAMHDoxvvvkmDj744Bg5cqTmMgAAFULmMgCwVU2aNGmD07HfZsyWJ4LgP9WoUSOOOOKIeOqpp8pEJCxYsCAeeeSROPDAA0vjGTalXr16ERGxdOnSzZ67bNmyWLt2bZl9nTt3joKCgiguLo6IiP79+0eNGjXi6quvXm+9SZLEl19+udn7lLfGrl27Rrt27eLmm2+Ob775Zr3nLVq0KPW9+vXrFwUFBXHNNdesl9f87Xr69OkTDRs2jF/96lexZs2ajd535cqVsWrVqjLH2rVrFw0aNCh9vTbnjjvuKHP/O+64I2rVqhWHHXbYJp/XrFmzOOSQQ+Luu+/e4D9c/Odr88Mf/jBeffXVmDZtWpnjf/jDHzZb3/HHHx+LFy8uU+d/1hsRUbdu3Ygo35+xH/7whxERcfvtt5fZf+utt0ZExFFHHbXZa3zXd//M1a9fP3bddddyvwcAALA5JpcBgK3qvPPOi5UrV8Zxxx0XHTt2jNWrV8eUKVPi0UcfjTZt2sTAgQNTX/O6666LCRMmxIEHHhjnnntu1KxZM+6+++4oLi6OG2+8sVzX6Nq1a0REXHHFFXHyySdHrVq14uijjy5t6P6nl156KQYPHhw//vGPY7fddou1a9fGQw89FDVq1Ijjjz8+Iv7dPL3uuuti2LBh8cknn0S/fv2iQYMGMXfu3Bg3blz87Gc/i0suuSTVOtu1axeNGzeOMWPGRIMGDaJevXrRo0ePaNu2bdx3331x5JFHxh577BEDBw6MVq1axeeffx6TJk2Khg0bxl/+8pdU99p1113jiiuuiGuvvTYOOuig6N+/fxQVFcXrr78eLVu2jFGjRkXDhg3jrrvuitNPPz323XffOPnkk2OHHXaIzz77LJ555pk44IAD4o477ogPP/wwDjvssDjxxBOjU6dOUbNmzRg3blwsWLAgTj755M3WUrt27Rg/fnwMGDAgevToEc8991w888wzcfnll5f58r6NGT16dBx44IHRuXPnOOecc2KXXXaJBQsWxNSpU+Of//xnvPXWWxERcemll8ZDDz0Uffv2jQsuuCDq1asX99xzT7Ru3Xqz2ddnnHFG/P73v48hQ4bEtGnT4qCDDooVK1bEiy++GOeee24ce+yxUadOnejUqVM8+uijsdtuu0WTJk1izz33jD333HO963Xp0iUGDBgQ99xzTyxdujR69eoV06ZNi9/97nfRr1+/OPTQQze77u/q1KlTHHLIIdG1a9do0qRJvPHGG/H444+X+bJEAADISgIAsBU999xzyU9/+tOkY8eOSf369ZPCwsJk1113Tc4777xkwYIFZc6NiGTQoEHrXaN169bJgAEDyuybMWNG0qdPn6R+/fpJ3bp1k0MPPTSZMmVKmXPGjh2bRETy+uuvb7C2a6+9NmnVqlVSUFCQREQyd+7cDZ738ccfJz/96U+Tdu3aJbVr106aNGmSHHroocmLL7643rl//vOfkwMPPDCpV69eUq9evaRjx47JoEGDkg8++KD0nF69eiV77LHHes8dMGBA0rp16zL7nnrqqaRTp05JzZo1k4hIxo4dW3rszTffTPr3759sv/32SVFRUdK6devkxBNPTCZOnFh6zogRI5KISBYtWrTB1+a7a37ggQeSffbZJykqKkq22267pFevXsmECRPKnDNp0qSkT58+SaNGjZLatWsn7dq1S84888zkjTfeSJIkSRYvXpwMGjQo6dixY1KvXr2kUaNGSY8ePZLHHntsg6/vd1+DevXqJXPmzEmOOOKIpG7duknz5s2TESNGJOvWrSs9b+7cuUlEJDfddNMGrzNnzpzkjDPOSFq0aJHUqlUradWqVfKjH/0oefzxx8uc97//+79Jr169ktq1ayetWrVKrr322uT+++9f77Xp1atX0qtXrzLPXblyZXLFFVckbdu2TWrVqpW0aNEiOeGEE5I5c+aUnjNlypSka9euSWFhYRIRyYgRI5Ik+b/35T+tWbMmufrqq0uvt/POOyfDhg1LVq1aVea81q1bJ0cdddR6a/5ujdddd13SvXv3pHHjxkmdOnWSjh07Jtdff32yevXqDb5mAACQViZJsvh2HAAAqEBnnnlmPP744xuM+wAAACoXmcsAAAAAAKSmuQwAAAAAQGqaywAAAAAApKa5DABApfHggw/KWwYAgJT+9re/xdFHHx0tW7aMTCYTTz755GafM3ny5Nh3332jqKgodt1113jwwQdT31dzGQAAAACgCluxYkV06dIlRo8eXa7z586dG0cddVQceuihMXPmzLjwwgvj7LPPjueffz7VfTNJkiRbUjAAAAAAAJVLJpOJcePGRb9+/TZ6ztChQ+OZZ56JWbNmle47+eSTY+nSpTF+/Phy38vkMgAAAABAJVNcXBzLli0rsxUXF1fItadOnRq9e/cus69Pnz4xderUVNepWSHVVIA6+wzOdQlUMwW7ds11CVnbaZeWuS6hQjRsWJTrErLWuFHtXJdQIb5etirXJVSI/XZvnusSsvbgH17NdQkVouTrhbkuIWvnnt8v1yVUiElvfp7rEirEe1PfynUJWfvpz/rmuoQK8cD9E3NdQvaKV+S6ggpRf6c2uS6hQvQ6uH2uS8ja7E+W5LqECvGzI9rluoSsXfvgG7kuoUJ8/cbkXJdQIZa8fkeuS8jadvtVj77Uv96s+u/FtlaZe5JDj20aV199dZl9I0aMiJEjR2Z97fnz50fz5mV/tm7evHksW7Ys/vWvf0WdOnXKdZ1K01wGAAAAAODfhg0bFkOGDCmzr6iocg3waS4DAAAAAFQyRUVFW62Z3KJFi1iwYEGZfQsWLIiGDRuWe2o5QnMZAAAAAMhXmfz8SrqePXvGs88+W2bfhAkTomfPnqmuk5+vHgAAAABANfHNN9/EzJkzY+bMmRERMXfu3Jg5c2Z89tlnEfHviI0zzjij9Pyf//zn8fHHH8ell14a77//ftx5553x2GOPxUUXXZTqvprLAAAAAABV2BtvvBH77LNP7LPPPhERMWTIkNhnn31i+PDhERExb9680kZzRETbtm3jmWeeiQkTJkSXLl3illtuifvuuy/69OmT6r5iMQAAAACA/JTJ5LqCCnHIIYdEkiQbPf7ggw9u8DlvvvlmVvc1uQwAAAAAQGqaywAAAAAApCYWAwAAAADITxmzt9nw6gEAAAAAkJrmMgAAAAAAqYnFAAAAAADyUyaT6wqqNJPLAAAAAACkprkMAAAAAEBqYjEAAAAAgPyUMXubDa8eAAAAAACpaS4DAAAAAJCaWAwAAAAAID9lMrmuoEozuQwAAAAAQGqaywAAAAAApCYWAwAAAADITxmzt9nw6gEAAAAAkJrmMgAAAAAAqYnFAAAAAADyUyaT6wqqNJPLAAAAAACkprkMAAAAAEBqYjEAAAAAgPyUMXubDa8eAAAAAACpaS4DAAAAAJCaWAwAAAAAID9lMrmuoEozuQwAAAAAQGqaywAAAAAApCYWAwAAAADITxmzt9nw6gEAAAAAkJrmMgAAAAAAqYnFAAAAAADyUyaT6wqqNJPLAAAAAACkprkMAAAAAEBqYjEAAAAAgPyUMXubDa8eAAAAAACpaS4DAAAAAJCaWAwAAAAAID+JxciKVw8AAAAAgNQ0lwEAAAAASE0sBgAAAACQnwoyua6gSjO5DAAAAABAaprLAAAAAACkJhYDAAAAAMhPGbO32fDqAQAAAACQmuYyAAAAAACpicUAAAAAAPJTJpPrCqo0k8sAAAAAAKSmuQwAAAAAQGpiMQAAAACA/JQxe5sNrx4AAAAAAKlpLgMAAAAAkJpYDAAAAAAgP2Uyua6gSjO5DAAAAABAaprLAAAAAACkJhYDAAAAAMhPGbO32fDqAQAAAACQmuYyAAAAAACpicUAAAAAAPJTJpPrCqo0k8sAAAAAAKSmuQwAAAAAQGpiMQAAAACA/JQxe5sNrx4AAAAAAKlpLgMAAAAAkJpYDAAAAAAgP2Uyua6gSjO5DAAAAABAaprLAAAAAACkJhYDAAAAAMhPGbO32fDqAQAAAACQmuYyAAAAAACpicUAAAAAAPJTJpPrCqo0k8sAAAAAAKSmuQwAAAAAQGpiMQAAAACA/JQxe5sNrx4AAAAAAKlpLgMAAAAAkJpYDAAAAAAgP4nFyIpXDwAAAACA1DSXAQAAAABITSwGAAAAAJCfMplcV1ClmVwGAAAAACA1zWUAAAAAAFLTXAYAAAAAIDWZywAAAABAfsqYvc2GVw8AAAAAgNQ0lwEAAAAASE0sBgAAAACQnzKZXFdQpZlcBgAAAAAgNc1lAAAAAABSE4sBAAAAAOSnjNnbbHj1AAAAAABITXMZAAAAAIDUxGIAAAAAAPkpk8l1BVWayWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXsqIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXhKLkR2TywAAAAAApKa5DAAAAABAamIxAAAAAID8JBUjKyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHkpk5GLkQ2TywAAAAAApKa5DAAAAABAamIxAAAAAIC8JBYjOyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHlJLEZ2TC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pJYjOyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJ6kYWTG5DAAAAABAaprLAAAAAACkllUsxuLFiyMiomnTphVSDAAAAADAtpLJyMXIRurJ5aVLl8agQYOiadOm0bx582jevHk0bdo0Bg8eHEuXLt0KJQIAAAAAUNmkmlz+6quvomfPnvH555/HqaeeGrvvvntERLz77rvx4IMPxsSJE2PKlCmx3XbbbZViAQAAAACoHFI1l6+55pooLCyMOXPmRPPmzdc7dsQRR8Q111wTt912W4UWCQAAAABQ0cRiZCdVLMaTTz4ZN99883qN5YiIFi1axI033hjjxo3b7HWKi4tj2bJlZbakZF2aUgAAAAAAyKFUzeV58+bFHnvssdHje+65Z8yfP3+z1xk1alQ0atSozLZ2wfQ0pQAAAAAAkEOpmstNmzaNTz75ZKPH586dG02aNNnsdYYNGxZff/11ma1m865pSgEAAAAAyEomk6m0W1WQqrncp0+fuOKKK2L16tXrHSsuLo6rrroq+vbtu9nrFBUVRcOGDctsmYIaaUoBAAAAACCHUn+hX7du3aJ9+/YxaNCg6NixYyRJEu+9917ceeedUVxcHA899NDWqhUAAAAAgEoiVXN5p512iqlTp8a5554bw4YNiyRJIuLf4+OHH3543HHHHbHzzjtvlUIBAAAAACpSVYmfqKxSNZcjItq2bRvPPfdcLFmyJGbPnh0REbvuumu5spYBAAAAAKgeUjeXv7XddttF9+7dK7IWAAAAAACqiC1uLgMAAAAAVGlSMbJSkOsCAAAAAACoejSXAQAAAABITSwGAAAAAJCXMhm5GNkwuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS2IxsmNyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXxGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAID9JxciKyWUAAAAAAFLTXAYAAAAAqOJGjx4dbdq0idq1a0ePHj1i2rRpmzz/9ttvjw4dOkSdOnVi5513josuuihWrVqV6p5iMQAAAACAvJTJVI9cjEcffTSGDBkSY8aMiR49esTtt98effr0iQ8++CCaNWu23vmPPPJIXHbZZfHAAw/E/vvvHx9++GGceeaZkclk4tZbby33fU0uAwAAAABUYbfeemucc845MXDgwOjUqVOMGTMm6tatGw888MAGz58yZUoccMAB8ZOf/CTatGkTRxxxRJxyyimbnXb+Ls1lAAAAAIBKpri4OJYtW1ZmKy4uXu+81atXx/Tp06N3796l+woKCqJ3794xderUDV57//33j+nTp5c2kz/++ON49tln44c//GGqGjWXAQAAAIC8lMlkKu02atSoaNSoUZlt1KhR661h8eLFsW7dumjevHmZ/c2bN4/58+dvcN0/+clP4pprrokDDzwwatWqFe3atYtDDjkkLr/88lSvn+YyAAAAAEAlM2zYsPj666/LbMOGDauQa0+ePDl+9atfxZ133hkzZsyIJ554Ip555pm49tprU13HF/oBAAAAAFQyRUVFUVRUtNnzmjZtGjVq1IgFCxaU2b9gwYJo0aLFBp9z1VVXxemnnx5nn312RER07tw5VqxYET/72c/iiiuuiIKC8s0km1wGAAAAAPJSrqMvNrWVV2FhYXTt2jUmTpxYuq+kpCQmTpwYPXv23OBzVq5cuV4DuUaNGhERkSRJue9tchkAAAAAoAobMmRIDBgwILp16xbdu3eP22+/PVasWBEDBw6MiIgzzjgjWrVqVZrZfPTRR8ett94a++yzT/To0SM++uijuOqqq+Loo48ubTKXh+YyAAAAAEAVdtJJJ8WiRYti+PDhMX/+/Nh7771j/PjxpV/y99lnn5WZVL7yyisjk8nElVdeGZ9//nnssMMOcfTRR8f111+f6r6aywAAAABAXkoTP1HZDR48OAYPHrzBY5MnTy7zuGbNmjFixIgYMWJEVveUuQwAAAAAQGqaywAAAAAApCYWAwAAAADIT9UnFSMnTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8lImIxcjGyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHlJLEZ2TC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pJYjOyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJ6kYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLmYxcjGyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJbEY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLYjGyY3IZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJfEYmTH5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgP0nFyIrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeymTkYmTD5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL4nFyI7JZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBekoqRHZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUkYuRFZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLwkFSM7JpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAeSkjFyMrJpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAeUkqRnZMLgMAAAAAkJrmMgAAAAAAqYnFAAAAAADyUkGBXIxsmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMVIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMXIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5CWpGNkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxm5GFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS2IxsmNyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXpGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9JxciOyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXsrIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXpKKkR2TywAAAAAApKa5DAAAAABAamIxAAAAAIC8lJGLkRWTywAAAAAApKa5DAAAAABAamIxAAAAAIC8JBUjOyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHkpIxcjKyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHlJKkZ2MkmSJLkuIiJi1dpcV0B18/lX/8p1CVn7x5Kqv4aIiPqFVf/fsWrXqh6/6FG/dtV/LyIi6lWDddQrqpHrEipE8ZqSXJeQtZoF1eNvkx/M+ybXJVSIXZrVy3UJWftiafX4/N61ef1cl5C1r1euyXUJFaJR3Vq5LqFC/M/sxbkuIWvN6hXlugT+fx1aNsh1CVApVYMflba57//65VyXsFGvXtYr1yVsVvXolgAAAAAAsE359wwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9JxciOyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXsrIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXpKKkR2TywAAAAAApKa5DAAAAABAamIxAAAAAIC8lJGLkRWTywAAAAAApKa5DAAAAABAamIxAAAAAIC8JBYjOyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHlJKkZ2TC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8lJGLkZWTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pJUjOyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkpYxcjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJakY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLBXIxsmJyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXpGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC8VSMXIisllAAAAAABS01wGAAAAACA1zWUAAAAAIC9lMplKu6U1evToaNOmTdSuXTt69OgR06ZN2+T5S5cujUGDBsWOO+4YRUVFsdtuu8Wzzz6b6p4ylwEAAAAAqrBHH300hgwZEmPGjIkePXrE7bffHn369IkPPvggmjVrtt75q1evjsMPPzyaNWsWjz/+eLRq1So+/fTTaNy4car7ai4DAAAAAFRht956a5xzzjkxcODAiIgYM2ZMPPPMM/HAAw/EZZddtt75DzzwQHz11VcxZcqUqFWrVkREtGnTJvV9xWIAAAAAAHkpk6m8W3FxcSxbtqzMVlxcvN4aVq9eHdOnT4/evXuX7isoKIjevXvH1KlTN7jup59+Onr27BmDBg2K5s2bx5577hm/+tWvYt26daleP81lAAAAAIBKZtSoUdGoUaMy26hRo9Y7b/HixbFu3bpo3rx5mf3NmzeP+fPnb/DaH3/8cTz++OOxbt26ePbZZ+Oqq66KW265Ja677rpUNYrFAAAAAACoZIYNGxZDhgwps6+oqKhCrl1SUhLNmjWLe+65J2rUqBFdu3aNzz//PG666aYYMWJEua+juQwAAAAA5KVMZHJdwkYVFRWVq5nctGnTqFGjRixYsKDM/gULFkSLFi02+Jwdd9wxatWqFTVq1Cjdt/vuu8f8+fNj9erVUVhYWK4axWIAAAAAAFRRhYWF0bVr15g4cWLpvpKSkpg4cWL07Nlzg8854IAD4qOPPoqSkpLSfR9++GHsuOOO5W4sR2guAwAAAABUaUOGDIl77703fve738V7770Xv/jFL2LFihUxcODAiIg444wzYtiwYaXn/+IXv4ivvvoqLrjggvjwww/jmWeeiV/96lcxaNCgVPcViwEAAAAA5KWCypuKkcpJJ50UixYtiuHDh8f8+fNj7733jvHjx5d+yd9nn30WBQX/N2e88847x/PPPx8XXXRR7LXXXtGqVau44IILYujQoanuq7kMAAAAAFDFDR48OAYPHrzBY5MnT15vX8+ePePVV1/N6p5iMQAAAAAASM3kMgAAAACQlzKZapKLkSMmlwEAAAAASE1zGQAAAACA1MRiAAAAAAB5SSpGdkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSgVyMrJhcBgAAAAAgNc1lAAAAAABSE4sBAAAAAOQlqRjZMbkMAAAAAEBqmssAAAAAAKQmFgMAAAAAyEsZuRhZMbkMAAAAAEBqmssAAAAAAKQmFgMAAAAAyEtSMbJjchkAAAAAgNQ0lwEAAAAASE0sBgAAAACQlwrkYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgLwnFyI7JZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeymQEY2TD5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgLxVIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXspk5GJkw+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9JxciOyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXsrIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXiqQipEVk8sAAAAAAKSmuQwAAAAAQGpbFItRXFwca9eujXr16lV0PQAAAAAA20QmIxcjG6kmlxctWhRHHnlk1K9fPxo2bBjf//7346OPPtpatQEAAAAAUEmlai4PHTo0Zs6cGddcc03cfPPNsXTp0jjnnHO2Vm0AAAAAAFRSqWIxJkyYEA8++GD06dMnIiJ+9KMfxe677x7FxcVRVFS0VQoEAAAAANgahGJkJ9Xk8hdffBFdunQpfdy+ffsoKiqKefPmVXhhAAAAAABUXqmayxERNWrUWO9xkiQVVhAAAAAAAJVfqliMJElit912K/Mtit98803ss88+UVDwf33qr776quIqBAAAAADYCgoygjGykaq5PHbs2K1VBwAAAAAAVUiq5vKAAQO2Vh0AAAAAAFQhqTKXp02bFuvWrdvo8eLi4njssceyLgoAAAAAYGvLZCrvVhWkai737Nkzvvzyy9LHDRs2jI8//rj08dKlS+OUU06puOoAAAAAAKiUUjWXkyTZ5OON7QMAAAAAoHpJlblcHpmqMrMNAAAAAOQ1vczspJpcBgAAAACAiC2YXH733Xdj/vz5EfHvCIz3338/vvnmm4iIWLx4ccVWBwAAAABApZS6uXzYYYeVyVX+0Y9+FBH/HiFPksQoOQAAAABQJWhlZidVc3nu3Llbqw4AAAAAAKqQVM3l1q1bb606AAAAAACoQlLHYkREzJ49O5566qn45JNPIpPJRNu2baNfv36xyy67VHR9AAAAAABbRYFcjKykbi6PGjUqhg8fHiUlJdGsWbNIkiQWLVoUl112WfzqV7+KSy65ZGvUCQAAAABAJVKQ5uRJkybFlVdeGVdccUUsXrw45s2bF/Pnzy9tLl922WXxt7/9bWvVCgAAAABAJZFqcnnMmDFx9tlnx8iRI8vsb9KkSVxzzTUxf/78uOuuu+Lggw+uyBoBAAAAACqcVIzspJpcnjZtWpx++ukbPX766afHq6++mnVRAAAAAABUbqmaywsWLIg2bdps9Hjbtm1j/vz52dYEAAAAAEAllyoWY9WqVVFYWLjR47Vq1YrVq1dnXRQAAAAAwNaWkYuRlVTN5YiI++67L+rXr7/BY8uXL8+6IAAAAAAAKr9UzeXvfe97ce+99272nM0pLi6O4uLiMvuSGkVRVFSUphwAAAAAAHIkVXP5k08+qZCbjho1Kq6++uoy+664akRcOXxkhVwfAAAAAGBzUn0hHetJHYvxXf/85z+jZcuWUVBQ/rdi2LBhMWTIkDL7khqmlgEAAAAAqoqsm8udOnWKmTNnxi677FLu5xQVrR+BsWpttpUAAAAAALCtZN1cTpKkIuoAAAAAANimMplMrkuo0sSKAAAAAACQWtbN5csvvzyaNGlSEbUAAAAAAFBFpI7FWLZsWdSvX7/0C/yGDRsWERHr1q2LFStWRMOGDSu2QgAAAACAraBAKkZWUk0ujxs3Lrp16xarVq1a79iqVativ/32i7/85S8VVhwAAAAAAJVTqubyXXfdFZdeemnUrVt3vWP16tWLoUOHxh133FFhxQEAAAAAUDmlai7PmjUrDjnkkI0eP/jgg+Ptt9/OtiYAAAAAgK2uIFN5t6ogVXN5yZIlsXbt2o0eX7NmTSxZsiTrogAAAAAAqNxSNZfbtGkTb7zxxkaPv/HGG9G6deusiwIAAAAAoHJL1Vzu379/XHHFFbFgwYL1js2fPz+uvPLKOP744yusOAAAAACArSWTyVTarSqomebkyy67LJ566qlo3759nHbaadGhQ4eIiHj//ffjD3/4Q+y8885x2WWXbZVCAQAAAACoPFI1lxs0aBB///vfY9iwYfHoo4+W5is3btw4TjvttLj++uujQYMGW6VQAAAAAAAqj1TN5YiIRo0axZ133hmjR4+OxYsXR5IkscMOO1SZUW0AAAAAgIiIAi3NrKRuLn/r7bffjg8//DAiIjp06BCdO3eusKIAAAAAAKjcUjeXp02bFmeddVa8++67kSRJRPw7+HqPPfaI+++/P/bbb78KLxIAAAAAgMqlIM3J7777bhx22GFRp06dePjhh2PGjBkxY8aMeOihh6KoqCgOO+ywePfdd7dWrQAAAAAAFSaTqbxbVZBqcnnkyJFx+OGHx5///OcyGct77713nHLKKdG/f/8YOXJkPPbYYxVeKAAAAAAAlUeq5vKkSZPiueee2+CX92Uymbj88svjhz/8YYUVBwAAAABA5ZSqubx8+fJo3rz5Ro+3aNEili9fnnVRAAAAAABbW0FVyZ+opFJlLrdu3TqmTZu20eOvvfZatG7dOuuiAAAAAACo3FI1l08++eQYMmRIzJo1a71jb7/9dlxyySVx0kknVVhxAAAAAABUTqliMYYNGxYvvvhi7L333nH44YfH7rvvHkmSxHvvvRcvvvhidO/ePS6//PKtVSsAAAAAQIVJNXnLelK9frVr145JkybF9ddfH/PmzYsxY8bE3XffHfPnz4/rrrsuHnvssTj//PO3Vq0AAAAAAFQSqZvzhYWFMXTo0Jg5c2asXLkyVq5cGTNnzozLLrssvvzyy7j//vu3Rp0AAAAAAFQiqWIxAAAAAACqi0wm1xVUbWJFAAAAAABITXMZAAAAAIDUUsVi9O/ff5PHly5dmk0tAAAAAADbTIFcjKykai43atRos8fPOOOMrAoCAAAAAKDyS9VcHjt27NaqAwAAAACAKiRVcxkAAAAAoLqQipEdX+gHAAAAAEBqmssAAAAAAKQmFgMAAAAAyEsFYjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcKMnIxsmFyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXpGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC8ViMXIisllAAAAAABS01wGAAAAACA1sRgAAAAAQF7KhFyMbJhcBgAAAAAgNc1lAAAAAABSE4sBAAAAAOSlAqkYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLYjGyY3IZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcyGbkY2TC5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLBVIxsmJyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXMmIxsmJyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXCuRiZMXkMgAAAAAAqWkuAwAAAACQmlgMAAAAACAvFUjFyIrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeyojFyIrJZQAAAACAKm706NHRpk2bqF27dvTo0SOmTZtWruf98Y9/jEwmE/369Ut9T81lAAAAAIAq7NFHH40hQ4bEiBEjYsaMGdGlS5fo06dPLFy4cJPP++STT+KSSy6Jgw46aIvuq7kMAAAAAOSlgshU2i2NW2+9Nc4555wYOHBgdOrUKcaMGRN169aNBx54YKPPWbduXZx66qlx9dVXxy677LKFrx8AAAAAAJVKcXFxLFu2rMxWXFy83nmrV6+O6dOnR+/evUv3FRQURO/evWPq1Kkbvf4111wTzZo1i7POOmuLa9RcBgAAAACoZEaNGhWNGjUqs40aNWq98xYvXhzr1q2L5s2bl9nfvHnzmD9//gav/corr8T9998f9957b1Y11szq2QAAAAAAVVQmXfrENjVs2LAYMmRImX1FRUVZX3f58uVx+umnx7333htNmzbN6lqaywAAAAAAlUxRUVG5mslNmzaNGjVqxIIFC8rsX7BgQbRo0WK98+fMmROffPJJHH300aX7SkpKIiKiZs2a8cEHH0S7du3KVaNYDAAAAACAKqqwsDC6du0aEydOLN1XUlISEydOjJ49e653fseOHePtt9+OmTNnlm7HHHNMHHrooTFz5szYeeedy31vk8sAAAAAQF4qqMSxGGkMGTIkBgwYEN26dYvu3bvH7bffHitWrIiBAwdGRMQZZ5wRrVq1ilGjRkXt2rVjzz33LPP8xo0bR0Sst39zNJcBAAAAAKqwk046KRYtWhTDhw+P+fPnx9577x3jx48v/ZK/zz77LAoKKj7EQnMZAAAAAKCKGzx4cAwePHiDxyZPnrzJ5z744INbdE/NZQAAAAAgLxVkqkkuRo74Qj8AAAAAAFLTXAYAAAAAIDXNZQAAAAAAUpO5DAAAAADkJZHL2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLBXIxsmJyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXpGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC+ZvM2O1w8AAAAAgNQ0lwEAAAAASE0sBgAAAACQlzKZTK5LqNJMLgMAAAAAkJrmMgAAAAAAqYnFAAAAAADyklCM7JhcBgAAAAAgNc1lAAAAAABSE4sBAAAAAOSlgoxgjGyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJaEY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLGbkYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLGbkYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLJm+z4/UDAAAAACA1zWUAAAAAAFITiwEAAAAA5KVMJpPrEqo0k8sAAAAAAKSmuQwAAAAAQGpiMQAAAACAvCQUIzsmlwEAAAAASE1zGQAAAACA1MRiAAAAAAB5KZMRjJENk8sAAAAAAKRmcplqq1WTOrkuIWvVYQ0REV9+szrXJWTty+VVfw0REUtXrsl1CRXikbc+z3UJWTulS6tcl1Ahtq9fmOsSsnbV8x/muoQKMfSQXXJdQoUoqAajD3O++ibXJVSIxnVr5bqErDVtUJTrEirE7PnV489U2+3r5bqErNWuVSPXJVSIp979Itcl8P/r0LJBrkuoENvtNzjXJWRtyet35LoEqJI0lwEAAACAvFQNZhtyyusHAAAAAEBqmssAAAAAAKQmFgMAAAAAyEuZTCbXJVRpJpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAeUkoRnZMLgMAAAAAkJrmMgAAAAAAqYnFAAAAAADyUkYuRlZMLgMAAAAAkJrmMgAAAAAAqYnFAAAAAADyUkHIxciGyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXspIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXsqEXIxsmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMVIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWCkIuRDZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUkYqRFZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLwkFiM7JpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAeSkTcjGyYXIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcKpGJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9lQi5GNkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSRipGVkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSJuRiZMPkMgAAAAAAqWkuAwAAAACQmlgMAAAAACAvFUjFyIrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeyoRcjGyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkpYxUjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJakY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLBRnBGNkwuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS0IxsmNyGQAAAACA1DSXAQAAAABITSwGAAAAAJCf5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9lpGJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9JxciOyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAfpKLkRWTywAAAAAApKa5DAAAAABAamIxAAAAAIC8lJGLkRWTywAAAAAApKa5DAAAAABAamIxAAAAAIC8lJGKkRWTywAAAAAApKa5DAAAAABAamIxAAAAAIC8JBUjOyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAPlJLkZWTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8lJGLkZWTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8lJGKkZWTC4DAAAAAFRxo0ePjjZt2kTt2rWjR48eMW3atI2ee++998ZBBx0U2223XWy33XbRu3fvTZ6/MZrLAAAAAABV2KOPPhpDhgyJESNGxIwZM6JLly7Rp0+fWLhw4QbPnzx5cpxyyikxadKkmDp1auy8885xxBFHxOeff57qvprLAAAAAEBeylTiLY1bb701zjnnnBg4cGB06tQpxowZE3Xr1o0HHnhgg+f/4Q9/iHPPPTf23nvv6NixY9x3331RUlISEydOTHXfCm0uz5s3LwYPHlyRlwQAAAAAyDvFxcWxbNmyMltxcfF6561evTqmT58evXv3Lt1XUFAQvXv3jqlTp5brXitXrow1a9ZEkyZNUtWYurn8zjvvxB133BH33HNPLF26NCIiFi9eHBdddFHssssuMWnSpLSXBAAAAADgP4waNSoaNWpUZhs1atR65y1evDjWrVsXzZs3L7O/efPmMX/+/HLda+jQodGyZcsyDeryqJnm5KeffjpOOOGEWLt2bURE3HjjjXHvvffGiSeeGF27do1x48ZF3759UxUAAAAAAJATafMntqFhw4bFkCFDyuwrKiqq8Pv8+te/jj/+8Y8xefLkqF27dqrnpppcvu6662LQoEGxbNmyuPXWW+Pjjz+O888/P5599tkYP368xjIAAAAAQAUoKiqKhg0bltk21Fxu2rRp1KhRIxYsWFBm/4IFC6JFixabvMfNN98cv/71r+OFF16IvfbaK3WNqZrLH3zwQQwaNCjq168f5513XhQUFMRtt90W++23X+obAwAAAACQncLCwujatWuZL+P79sv5evbsudHn3XjjjXHttdfG+PHjo1u3blt071SxGMuXL4+GDRtGRESNGjWiTp06scsuu2zRjQEAAAAAcilTmXMxUhgyZEgMGDAgunXrFt27d4/bb789VqxYEQMHDoyIiDPOOCNatWpVmtl8ww03xPDhw+ORRx6JNm3alGYz169fP+rXr1/u+6ZqLkdEPP/889GoUaOI+L8O+KxZs8qcc8wxx6S9LAAAAAAAW+Ckk06KRYsWxfDhw2P+/Pmx9957x/jx40u/5O+zzz6LgoL/C7G46667YvXq1XHCCSeUuc6IESNi5MiR5b5v6ubygAEDyjz+f//v/5V5nMlkYt26dWkvCwAAAADAFho8eHAMHjx4g8cmT55c5vEnn3xSIfdM1VwuKSmpkJsCAAAAAORapnqkYuRMqi/0K49//etfFX1JAAAAAAAqmQprLhcXF8ctt9wSbdu2rahLAgAAAABQSaVqLhcXF8ewYcOiW7dusf/++8eTTz4ZERFjx46Ntm3bxu233x4XXXTR1qgTAAAAAKBCZSrxVhWkylwePnx43H333dG7d++YMmVK/PjHP46BAwfGq6++Grfeemv8+Mc/jho1amytWgEAAAAAqCRSNZf/9Kc/xe9///s45phjYtasWbHXXnvF2rVr46233oqM9GsAAAAAgLyRqrn8z3/+M7p27RoREXvuuWcUFRXFRRddpLEMAAAAAFQ92ppZSZW5vG7duigsLCx9XLNmzahfv36FFwUAAAAAQOWWanI5SZI488wzo6ioKCIiVq1aFT//+c+jXr16Zc574oknKq5CAAAAAAAqnVTN5QEDBpR5fNppp1VoMQAAAAAA20pGLkZWUjWXx44du7XqAAAAAACgCkmVubwpSZLEc889FyeccEJFXRIAAAAAgEoq6+by3Llz46qrrorvfe97cdxxx8WqVasqoi4AAAAAgK0qk6m8W1WQKhbjW8XFxfH444/H/fffH6+88kqsW7cubr755jjrrLOiYcOGFV0jAAAAAACVTKrJ5enTp8e5554bLVq0iNtvvz369esX//jHP6KgoCD69OmjsQwAAAAAkCdSTS736NEjzjvvvHj11VejQ4cOW6smAAAAAICtroqkT1RaqZrLhx12WNx///2xcOHCOP3006NPnz6RqSoBIAAAAAAAVJhUsRjPP/98vPPOO9GhQ4f4xS9+ETvuuGNccMEFERGazAAAAAAAeSRVczkiYuedd47hw4fH3Llz46GHHopFixZFzZo149hjj43LL788ZsyYsdlrFBcXx7Jly8psxcXFW7QAAAAAAIAtkqnEWxWQurn8nw4//PB45JFH4osvvojzzjsvnnvuudhvv/02+7xRo0ZFo0aNymw33TAqm1IAAAAAANiGsmouR0T885//jEaNGsV5550Xb775Zrz++uubfc6wYcPi66+/LrP9cuiwbEsBAAAAAGAbSfWFfhvSqVOnmDlzZuyyyy4REbHvvvtu9jlFRUVRVFRUZt+qtdlWAgAAAABQfpmqkj9RSWU9uZwkSUXUAQAAAABAFZJ1cxkAAAAAgPyTdSzG5ZdfHk2aNKmIWgAAAAAAtpmMVIyspJ5cXrZsWZSUlJQ+HjZsWDRu3DjWrVsXy5Ytq9DiAAAAAAConFI1l8eNGxfdunWLVatWrXds1apVsd9++8Vf/vKXCisOAAAAAIDKKVVz+a677opLL7006tatu96xevXqxdChQ+OOO+6osOIAAAAAALaWTCXeqoJUzeVZs2bFIYccstHjBx98cLz99tvZ1gQAAAAAQCWXqrm8ZMmSWLt27UaPr1mzJpYsWZJ1UQAAAAAAVG6pmstt2rSJN954Y6PH33jjjWjdunXWRQEAAAAAbHW5zr6o4rkYqZrL/fv3jyuuuCIWLFiw3rH58+fHlVdeGccff3yFFQcAAAAAQOVUM83Jl112WTz11FPRvn37OO2006JDhw4REfH+++/HH/7wh9h5553jsssu2yqFAgAAAABQeaRqLjdo0CD+/ve/x7Bhw+LRRx8tzVdu3LhxnHbaaXH99ddHgwYNtkqhAAAAAAAVKVNV8icqqVTN5YiIRo0axZ133hmjR4+OxYsXR5IkscMOO0Qm440AAAAAAMgXqZvL33r77bfjww8/jIiIDh06ROfOnSusKAAAAAAAKrfUzeVp06bFWWedFe+++24kSRIREZlMJvbYY4+4//77Y7/99qvwIgEAAAAAKpowhuwUpDn53XffjcMOOyzq1KkTDz/8cMyYMSNmzJgRDz30UBQVFcVhhx0W77777taqFQAAAACASiLV5PLIkSPj8MMPjz//+c9lMpb33nvvOOWUU6J///4xcuTIeOyxxyq8UAAAAAAAKo9UzeVJkybFc889t8Ev78tkMnH55ZfHD3/4wworDgAAAABga5GKkZ1UsRjLly+P5s2bb/R4ixYtYvny5VkXBQAAAABA5Zaqudy6deuYNm3aRo+/9tpr0bp166yLAgAAAACgckvVXD755JNjyJAhMWvWrPWOvf3223HJJZfESSedVGHFAQAAAABsNZlKvFUBqTKXhw0bFi+++GLsvffecfjhh8fuu+8eSZLEe++9Fy+++GJ07949Lr/88q1VKwAAAAAAlUSqyeXatWvHpEmT4vrrr4958+bFmDFj4u6774758+fHddddF4899licf/75W6tWAAAAAAAqiVSTyxERhYWFMXTo0Bg6dOh6x9566624//7745577qmQ4gAAAAAAtpZMVcmfqKRSTS4DAAAAAECE5jIAAAAAAFsgdSwGAAAAAEB1kJGKkZVUzeX+/ftv8vjSpUuzqQUAAAAAgCoiVXO5UaNGmz1+xhlnZFUQAAAAAACVX6rm8tixY7dWHQAAAAAA25RUjOz4Qj8AAAAAAFLTXAYAAAAAILVUsRgAAAAAANWGXIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMXIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMVIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5CWpGNkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxm5GFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADIU3IxsmFyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXMlIxsmJyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXpGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9lQi5GNkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPKTVIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5CWpGNkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxm5GFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS5mQi5ENk8sAAAAAAKSmuQwAAAAAQGpiMQAAAACA/CQVIysmlwEAAAAASE1zGQAAAACA1MRiAAAAAAB5SSpGdkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSRi5GVkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSJuRiZMPkMgAAAAAAqWkuAwAAAACQmlgMAAAAACAvZaRiZMXkMgAAAAAAqWkuAwAAAACQmuYyAAAAAACpaS4DAAAAAJCa5jIAAAAAAKnVzHUBAAAAAAC5kMnkuoKqzeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9lQi5GNkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSRipGVkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPKSVIzsmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5Ce5GFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxm5GFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxmpGFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS1IxsmNyGQAAAACA1DSXAQAAAABITSwGAAAAAJCf5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAFRxo0ePjjZt2kTt2rWjR48eMW3atE2e/6c//Sk6duwYtWvXjs6dO8ezzz6b+p6aywAAAABAXspkKu+WxqOPPhpDhgyJESNGxIwZM6JLly7Rp0+fWLhw4QbPnzJlSpxyyilx1llnxZtvvhn9+vWLfv36xaxZs1LdV3MZAAAAAKAKu/XWW+Occ86JgQMHRqdOnWLMmDFRt27deOCBBzZ4/m9+85vo27dv/PKXv4zdd989rr322th3333jjjvuSHVfzWUAAAAAgEqmuLg4li1bVmYrLi5e77zVq1fH9OnTo3fv3qX7CgoKonfv3jF16tQNXnvq1Kllzo+I6NOnz0bP36gkT6xatSoZMWJEsmrVqlyXssWqwxqSpHqsozqsIUmsozKpDmtIkuqxjuqwhiSxjsqkOqwhSarHOqrDGpLEOiqT6rCGJKke66gOa0gS66hMqsMakqR6rKM6rCFJqs862LZGjBiRRESZbcSIEeud9/nnnycRkUyZMqXM/l/+8pdJ9+7dN3jtWrVqJY888kiZfaNHj06aNWuWqsZMkiRJunZ01bRs2bJo1KhRfP3119GwYcNcl7NFqsMaIqrHOqrDGiKsozKpDmuIqB7rqA5riLCOyqQ6rCGieqyjOqwhwjoqk+qwhojqsY7qsIYI66hMqsMaIqrHOqrDGiKqzzrYtoqLi9ebVC4qKoqioqIy+7744oto1apVTJkyJXr27Fm6/9JLL42XX345XnvttfWuXVhYGL/73e/ilFNOKd135513xtVXXx0LFiwod401y30mAAAAAADbxIYayRvStGnTqFGjxnpN4QULFkSLFi02+JwWLVqkOn9jZC4DAAAAAFRRhYWF0bVr15g4cWLpvpKSkpg4cWKZSeb/1LNnzzLnR0RMmDBho+dvjMllAAAAAIAqbMiQITFgwIDo1q1bdO/ePW6//fZYsWJFDBw4MCIizjjjjGjVqlWMGjUqIiIuuOCC6NWrV9xyyy1x1FFHxR//+Md444034p577kl137xpLhcVFcWIESPKNUpeWVWHNURUj3VUhzVEWEdlUh3WEFE91lEd1hBhHZVJdVhDRPVYR3VYQ4R1VCbVYQ0R1WMd1WENEdZRmVSHNURUj3VUhzVEVJ91UHmddNJJsWjRohg+fHjMnz8/9t577xg/fnw0b948IiI+++yzKCj4vxCL/fffPx555JG48sor4/LLL4/27dvHk08+GXvuuWeq++bNF/oBAAAAAFBxZC4DAAAAAJCa5jIAAAAAAKlpLgMAAAAAkJrmMgAAAAAAqeVFc3n06NHRpk2bqF27dvTo0SOmTZuW65JS+dvf/hZHH310tGzZMjKZTDz55JO5Lim1UaNGxX777RcNGjSIZs2aRb9+/eKDDz7IdVmp3XXXXbHXXntFw4YNo2HDhtGzZ8947rnncl1WVn79619HJpOJCy+8MNelpDJy5MjIZDJlto4dO+a6rC3y+eefx2mnnRbbb7991KlTJzp37hxvvPFGrssqtzZt2qz3XmQymRg0aFCuS0tl3bp1cdVVV0Xbtm2jTp060a5du7j22mujqn3v7fLly+PCCy+M1q1bR506dWL//feP119/PddlbdLmPueSJInhw4fHjjvuGHXq1InevXvH7Nmzc1PsJmxuHU888UQcccQRsf3220cmk4mZM2fmpM5N2dQa1qxZE0OHDo3OnTtHvXr1omXLlnHGGWfEF198kbuCN2Jz78XIkSOjY8eOUa9evdhuu+2id+/e8dprr+Wm2E1I83fAn//855HJZOL222/fZvWVx+bWcOaZZ673+dG3b9/cFLsJ5Xkv3nvvvTjmmGOiUaNGUa9evdhvv/3is88+2/bFbsTm1rChz/JMJhM33XRTbgreiM2t45tvvonBgwfHTjvtFHXq1IlOnTrFmDFjclPsJmxuHQsWLIgzzzwzWrZsGXXr1o2+fftWus++8vyMt2rVqhg0aFBsv/32Ub9+/Tj++ONjwYIFOap4feVZwz333BOHHHJINGzYMDKZTCxdujQ3xW7C5tbx1VdfxXnnnRcdOnSIOnXqxPe+9704//zz4+uvv85h1esrz/vx//7f/4t27dpFnTp1Yocddohjjz023n///RxVvL40vY8kSeLII4+ssn0e+Fa1by4/+uijMWTIkBgxYkTMmDEjunTpEn369ImFCxfmurRyW7FiRXTp0iVGjx6d61K22MsvvxyDBg2KV199NSZMmBBr1qyJI444IlasWJHr0lLZaaed4te//nVMnz493njjjfjBD34Qxx57bLzzzju5Lm2LvP7663H33XfHXnvtletStsgee+wR8+bNK91eeeWVXJeU2pIlS+KAAw6IWrVqxXPPPRfvvvtu3HLLLbHddtvlurRye/3118u8DxMmTIiIiB//+Mc5riydG264Ie66666444474r333osbbrghbrzxxvjtb3+b69JSOfvss2PChAnx0EMPxdtvvx1HHHFE9O7dOz7//PNcl7ZRm/ucu/HGG+O//uu/YsyYMfHaa69FvXr1ok+fPrFq1aptXOmmbW4dK1asiAMPPDBuuOGGbVxZ+W1qDStXrowZM2bEVVddFTNmzIgnnngiPvjggzjmmGNyUOmmbe692G233eKOO+6It99+O1555ZVo06ZNHHHEEbFo0aJtXOmmlffvgOPGjYtXX301WrZsuY0qK7/yrKFv375lPkf++7//extWWD6bW8ecOXPiwAMPjI4dO8bkyZPjf//3f+Oqq66K2rVrb+NKN25za/jP92DevHnxwAMPRCaTieOPP34bV7ppm1vHkCFDYvz48fHwww/He++9FxdeeGEMHjw4nn766W1c6aZtah1JkkS/fv3i448/jqeeeirefPPNaN26dfTu3btS/fxUnp/xLrroovjLX/4Sf/rTn+Lll1+OL774Ivr375/DqssqzxpWrlwZffv2jcsvvzyHlW7a5tbxxRdfxBdffBE333xzzJo1Kx588MEYP358nHXWWTmuvKzyvB9du3aNsWPHxnvvvRfPP/98JEkSRxxxRKxbty6Hlf+fNL2P22+/PTKZTA6qhAqWVHPdu3dPBg0aVPp43bp1ScuWLZNRo0blsKotFxHJuHHjcl1G1hYuXJhERPLyyy/nupSsbbfddsl9992X6zJSW758edK+fftkwoQJSa9evZILLrgg1yWlMmLEiKRLly65LiNrQ4cOTQ488MBcl1GhLrjggqRdu3ZJSUlJrktJ5aijjkp++tOfltnXv3//5NRTT81RRemtXLkyqVGjRvLXv/61zP599903ueKKK3JUVTrf/ZwrKSlJWrRokdx0002l+5YuXZoUFRUl//3f/52DCstnU5/Xc+fOTSIiefPNN7dpTWmV5+8c06ZNSyIi+fTTT7dNUVugPOv4+uuvk4hIXnzxxW1T1BbY2Dr++c9/Jq1atUpmzZqVtG7dOrntttu2eW3ltaE1DBgwIDn22GNzUs+W2tA6TjrppOS0007LTUFboDz/XRx77LHJD37wg21T0Bba0Dr22GOP5Jprrimzr7J/Dn53HR988EESEcmsWbNK961bty7ZYYcdknvvvTcHFZbPd3/GW7p0aVKrVq3kT3/6U+k57733XhIRydSpU3NV5iZt6ufUSZMmJRGRLFmyZNsXllJ5ft5+7LHHksLCwmTNmjXbsLJ0yrOOt956K4mI5KOPPtqGlZXfxtbw5ptvJq1atUrmzZtXbfo85K9qPbm8evXqmD59evTu3bt0X0FBQfTu3TumTp2aw8r49tdvmjRpkuNKtty6devij3/8Y6xYsSJ69uyZ63JSGzRoUBx11FFl/vuoambPnh0tW7aMXXbZJU499dRK9aun5fX0009Ht27d4sc//nE0a9Ys9tlnn7j33ntzXdYWW716dTz88MPx05/+tMr9K/z+++8fEydOjA8//DAiIt5666145ZVX4sgjj8xxZeW3du3aWLdu3XqTcnXq1KmSk/0REXPnzo358+eX+f+qRo0aRY8ePXyWVwJff/11ZDKZaNy4ca5L2WKrV6+Oe+65Jxo1ahRdunTJdTmplJSUxOmnnx6//OUvY4899sh1OVts8uTJ0axZs+jQoUP84he/iC+//DLXJaVSUlISzzzzTOy2227Rp0+faNasWfTo0aNK/4rzggUL4plnnql0U43lsf/++8fTTz8dn3/+eSRJEpMmTYoPP/wwjjjiiFyXVm7FxcUREWU+zwsKCqKoqKhSf55/92e86dOnx5o1a8p8hnfs2DG+973vVdrP8Orwc2pE+dbx9ddfR8OGDaNmzZrbqqzUNreOFStWxNixY6Nt27ax8847b8vSym1Da1i5cmX85Cc/idGjR0eLFi1yVRpUmGrdXF68eHGsW7cumjdvXmZ/8+bNY/78+TmqipKSkrjwwgvjgAMOiD333DPX5aT29ttvR/369aOoqCh+/vOfx7hx46JTp065LiuVP/7xjzFjxowYNWpUrkvZYj169Cj9da677ror5s6dGwcddFAsX74816Wl8vHHH8ddd90V7du3j+effz5+8YtfxPnnnx+/+93vcl3aFnnyySdj6dKlceaZZ+a6lNQuu+yyOPnkk6Njx45Rq1at2GeffeLCCy+MU089NdellVuDBg2iZ8+ece2118YXX3wR69ati4cffjimTp0a8+bNy3V5W+Tbz2uf5ZXPqlWrYujQoXHKKadEw4YNc11Oan/961+jfv36Ubt27bjttttiwoQJ0bRp01yXlcoNN9wQNWvWjPPPPz/XpWyxvn37xu9///uYOHFi3HDDDfHyyy/HkUceWWl+vbk8Fi5cGN988038+te/jr59+8YLL7wQxx13XPTv3z9efvnlXJe3RX73u99FgwYNKlV8QXn99re/jU6dOsVOO+0UhYWF0bdv3xg9enQcfPDBuS6t3L5twA4bNiyWLFkSq1evjhtuuCH++c9/VtrP8w39jDd//vwoLCxc7x8gK+tneFX/OfVb5VnH4sWL49prr42f/exn27i68tvUOu68886oX79+1K9fP5577rmYMGFCFBYW5qjSjdvYGi666KLYf//949hjj81hdVBxKu8/UVFtDRo0KGbNmlWp/9V9Uzp06BAzZ86Mr7/+Oh5//PEYMGBAvPzyy1WmwfyPf/wjLrjggpgwYUKlygFM6z+nSffaa6/o0aNHtG7dOh577LEqNWVTUlIS3bp1i1/96lcREbHPPvvErFmzYsyYMTFgwIAcV5fe/fffH0ceeWSlzP3cnMceeyz+8Ic/xCOPPBJ77LFHzJw5My688MJo2bJllXovHnroofjpT38arVq1iho1asS+++4bp5xySkyfPj3XpVGNrFmzJk488cRIkiTuuuuuXJezRQ499NCYOXNmLF68OO6999448cQT47XXXotmzZrlurRymT59evzmN7+JGTNmVLnfFPlPJ598cun/7ty5c+y1117Rrl27mDx5chx22GE5rKz8SkpKIiLi2GOPjYsuuigiIvbee++YMmVKjBkzJnr16pXL8rbIAw88EKeeemqV/Lvib3/723j11Vfj6aefjtatW8ff/va3GDRoULRs2bLK/MZerVq14oknnoizzjormjRpEjVq1IjevXvHkUceWWm/aLiq/4wXUT3WELH5dSxbtiyOOuqo6NSpU4wcOXLbFpfCptZx6qmnxuGHHx7z5s2Lm2++OU488cT4+9//Xun+P2tDa3j66afjpZdeijfffDOHlUHFqtaTy02bNo0aNWqs9220CxYs8KsHOTJ48OD461//GpMmTYqddtop1+VskcLCwth1112ja9euMWrUqOjSpUv85je/yXVZ5TZ9+vRYuHBh7LvvvlGzZs2oWbNmvPzyy/Ff//VfUbNmzSo1KfSfGjduHLvttlt89NFHuS4llR133HG9f5jYfffdq2TEx6effhovvvhinH322bkuZYv88pe/LJ1e7ty5c5x++ulx0UUXVbkJ/3bt2sXLL78c33zzTfzjH/+IadOmxZo1a2KXXXbJdWlb5NvPa5/llce3jeVPP/00JkyYUCWnliMi6tWrF7vuumt8//vfj/vvvz9q1qwZ999/f67LKrf/+Z//iYULF8b3vve90s/zTz/9NC6++OJo06ZNrsvbYrvssks0bdq0Sn2eN23aNGrWrFltPs//53/+Jz744IMq+Xn+r3/9Ky6//PK49dZb4+ijj4699torBg8eHCeddFLcfPPNuS4vla5du8bMmTNj6dKlMW/evBg/fnx8+eWXlfLzfGM/47Vo0SJWr14dS5cuLXN+ZfwMrw4/p0Zsfh3Lly+Pvn37RoMGDWLcuHFRq1atHFS5eZtbR6NGjaJ9+/Zx8MEHx+OPPx7vv/9+jBs3LgeVbtzG1vDSSy/FnDlzonHjxqWf3xERxx9/fBxyyCE5qhayU62by4WFhdG1a9eYOHFi6b6SkpKYOHFilczIrcqSJInBgwfHuHHj4qWXXoq2bdvmuqQKU1JSUpqLVhUcdthh8fbbb8fMmTNLt27dusWpp54aM2fOjBo1auS6xC3yzTffxJw5c2LHHXfMdSmpHHDAAfHBBx+U2ffhhx9G69atc1TRlhs7dmw0a9YsjjrqqFyXskVWrlwZBQVlPxZr1KhROpFW1dSrVy923HHHWLJkSTz//PNV9tfu2rZtGy1atCjzWb5s2bJ47bXXfJbnwLeN5dmzZ8eLL74Y/197dxPaxBqFAfi9SKaJEoMJo0ksEyyVFBRcVItuLFKIVGhp8ScoSLTixiKRYkTREgQrbtoq4sJACYgUShf+1IVx07qTIip2Y7EaKP3JQkWitoiYcxeiWKudTPX6TXvfB7LK5j3MkDPfyfB9Pp9PdaQ/ZqH18/379+Pp06cz+nkwGEQikUAmk1Edb97Gxsbw+vXrBdXPNU3Dpk2bFk0/7+rqQmVl5YLbgxz48hv16dOnRdXPPR4PdF3H8+fP8fDhQ1v1c7M1XmVlJRwOx4wePjw8jNHRUdv08MWyTi2mjnw+j0gkAk3TcPv2bdu95QvM73qICETENj3crIaTJ0/O6t8A0NnZiXQ6rSAx0e9b9NtitLS0IBaLYePGjaiqqsLFixfx4cMHHDx4UHW0or1//37G2xvZbBZPnjyB1+uFYRgKkxWvubkZ3d3duHXrFtxu97c9tjweD1wul+J0xTt16hRqa2thGAbevXuH7u5uDAwMLKhFnNvtnrVn1bJly+Dz+RbU3mLHjx9HXV0dQqEQJiYmkEwmsWTJEuzdu1d1NEu+7rd1/vx57NmzB4ODg0ilUkilUqqjWVIoFJBOpxGLxWx9KMhc6urq0NbWBsMwsG7dOjx+/BgdHR1oampSHc2STCYDEUE4HMbIyAgSiQQqKips3ffM+tyxY8dw7tw5rF27FmvWrEFrayuCwSAaGhrUhf4JszrevHmD0dFRTExMAMC3QZTf77fNG1xz1RAIBLBr1y48evQId+7cwefPn7/1c6/Xa6u9Dueqw+fzoa2tDfX19QgEAnj16hWuXLmC8fFx7N69W2Hq2czuqR+H+w6HA36/H+Fw+G9H/aW5avB6vTh79ix27twJv9+PFy9e4MSJEygvL8f27dsVpp7N7FokEglEo1Fs3boV27Ztw927d9HX14eBgQF1oX9QzJoin8+jt7cX7e3tqmKaMqujuroaiUQCLpcLoVAI9+/fx7Vr19DR0aEw9WxmdfT29kLXdRiGgaGhIcTjcTQ0NNjqYEKzNZ7H48GhQ4fQ0tICr9eL5cuX4+jRo9iyZQs2b96sOP0XxaxTc7kccrnct+s1NDQEt9sNwzBsc/CfWR1fB8tTU1O4fv068vk88vk8AEDXddu8YGRWx8uXL9HT04NIJAJd1zE2NoYLFy7A5XJhx44ditN/YVbDr577DMNYsH9uEEH+By5fviyGYYimaVJVVSUPHjxQHcmS/v5+ATDrE4vFVEcr2s/yA5B0Oq06miVNTU0SCoVE0zTRdV1qamrk3r17qmP9turqaonH46pjWBKNRiUQCIimabJ69WqJRqMyMjKiOta89PX1yfr166WkpEQqKioklUqpjmRZJpMRADI8PKw6yrzl83mJx+NiGIY4nU4pKyuT06dPy8ePH1VHs6Snp0fKyspE0zTx+/3S3Nwsb9++VR1rTmZ9rlAoSGtrq6xatUpKSkqkpqbGlveaWR3pdPqn3yeTSaW5vzdXDdls9pf9vL+/X3X0GeaqY3p6WhobGyUYDIqmaRIIBKS+vl4GBwdVx57F6jNgKBSSzs7Ov5rRzFw1TE1NSSQSEV3XxeFwSCgUksOHD0sul1Mde5ZirkVXV5eUl5eL0+mUDRs2yM2bN9UF/oliarh69aq4XC5b9w2zOiYnJ+XAgQMSDAbF6XRKOByW9vZ2KRQKaoP/wKyOS5cuSWlpqTgcDjEMQ86cOWO7Z5Ji1njT09Ny5MgRWbFihSxdulQaGxtlcnJSXegfFFNDMpm0/VrWrI5f3W8AJJvNKs3+PbM6xsfHpba2VlauXCkOh0NKS0tl37598uzZM7XBvzOf2QcAuXHjxl/LSPSn/SNi0xMBiIiIiIiIiIiIiMi2FvWey0RERERERERERET03+BwmYiIiIiIiIiIiIgs43CZiIiIiIiIiIiIiCzjcJmIiIiIiIiIiIiILONwmYiIiIiIiIiIiIgs43CZiIiIiIiIiIiIiCzjcJmIiIiIiIiIiIiILONwmYiIiIiIiIiIiIgs43CZiIiIiIiIiIiIiCzjcJmIiIiIiIiIiIiILONwmYiIiIiIiIiIiIgs43CZiIiIiIiIiIiIiCz7F7QjyvueOiVkAAAAAElFTkSuQmCC", + "image/png": 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n2rVrb7LGtm3brjcyYn1fW9/VoUOHeOONN2L16tXrTKV/K83XWNu2baO0tDRmzpwZu+66a9n2efPmxeLFi6Nt27YVPtd/atasWQwcODAGDhwY33zzTRx00EExcuRIzWUAACqFzGUAYIuaOHHieqdjv82YrUgEwX8qLCyMww8/PJ5++ulyEQnz5s2LRx55JA444ICyeIaNqV+/fkRELF68eJPHLl26NNasWVNuW5cuXaKgoCBKSkoiIqJ///5RWFgYV1111TrrTZIkvv76601ep6I1du3aNTp06BA333xzfPPNN+s8bsGCBamv1a9fvygoKIirr756nbzmb9fTp0+faNSoUVx//fWxevXqDV53xYoVsXLlynL7OnToEA0bNix7vjbl9ttvL3f922+/PWrXrh2HHnroRh/XokWLOPjgg+Ouu+5a7y8u/vO5+eEPfxivv/56TJkypdz+3//+95us77jjjouFCxeWq/M/642IqFevXkRU7Gvshz/8YURE3HbbbeW2jx49OiIijjzyyE2e47u++zXXoEGD2GmnnSr8GgAAwKaYXAYAtqhzzz03VqxYEccee2x06tQpVq1aFZMmTYpHH3002rVrFwMHDkx9zmuvvTbGjx8fBxxwQJxzzjlRq1atuOuuu6KkpCRuvPHGCp2ja9euERFx+eWXx0knnRS1a9eOo446qqyh+59efvnlGDx4cPz4xz+OXXbZJdasWRMPPfRQFBYWxnHHHRcR/26eXnvttTF06ND4/PPPo1+/ftGwYcOYNWtWPPnkk/Gzn/0sLr744lTr7NChQzRp0iTGjh0bDRs2jPr160ePHj2iffv2ce+998YRRxwRu+22WwwcODDatGkTX331VUycODEaNWoUf/7zn1Nda6eddorLL788rrnmmjjwwAOjf//+UVxcHG+++Wa0bt06Ro0aFY0aNYo777wzTjvttNhnn33ipJNOim233Ta+/PLLePbZZ2P//feP22+/PT7++OM49NBD44QTTojOnTtHrVq14sknn4x58+bFSSedtMla6tSpE+PGjYsBAwZEjx494vnnn49nn302hg0bVu7D+zZkzJgxccABB0SXLl3i7LPPjh133DHmzZsXkydPjn/84x/xzjvvRETEJZdcEg899FD07ds3zj///Khfv37cfffd0bZt201mX59++unxu9/9LoYMGRJTpkyJAw88MJYvXx4vvfRSnHPOOXHMMcdE3bp1o3PnzvHoo4/GLrvsEs2aNYvdd989dt9993XOt+eee8aAAQPi7rvvjsWLF0evXr1iypQp8dvf/jb69esXhxxyyCbX/V2dO3eOgw8+OLp27RrNmjWLt956Kx5//PFyH5YIAABZSQAAtqDnn38++elPf5p06tQpadCgQVJUVJTstNNOybnnnpvMmzev3LERkQwaNGidc7Rt2zYZMGBAuW3Tpk1L+vTpkzRo0CCpV69ecsghhySTJk0qd8wDDzyQRETy5ptvrre2a665JmnTpk1SUFCQREQya9as9R732WefJT/96U+TDh06JHXq1EmaNWuWHHLIIclLL720zrF/+tOfkgMOOCCpX79+Ur9+/aRTp07JoEGDko8++qjsmF69eiW77bbbOo8dMGBA0rZt23Lbnn766aRz585JrVq1kohIHnjggbJ9b7/9dtK/f/9km222SYqLi5O2bdsmJ5xwQjJhwoSyY0aMGJFERLJgwYL1PjffXfP999+f7L333klxcXHStGnTpFevXsn48ePLHTNx4sSkT58+SePGjZM6deokHTp0SM4444zkrbfeSpIkSRYuXJgMGjQo6dSpU1K/fv2kcePGSY8ePZLHHntsvc/vd5+D+vXrJ59++mly+OGHJ/Xq1UtatmyZjBgxIlm7dm3ZcbNmzUoiIrnpppvWe55PP/00Of3005NWrVoltWvXTtq0aZP86Ec/Sh5//PFyx/3v//5v0qtXr6ROnTpJmzZtkmuuuSa577771nluevXqlfTq1avcY1esWJFcfvnlSfv27ZPatWsnrVq1So4//vjk008/LTtm0qRJSdeuXZOioqIkIpIRI0YkSfJ/r8t/Wr16dXLVVVeVnW+HHXZIhg4dmqxcubLccW3btk2OPPLIddb83RqvvfbapHv37kmTJk2SunXrJp06dUquu+66ZNWqVet9zgAAIK1MkmTx6TgAAFCJzjjjjHj88cfXG/cBAABULTKXAQAAAABITXMZAAAAAIDUNJcBAAAAAEhNcxkAgCrjwQcflLcMAAAp/fWvf42jjjoqWrduHZlMJp566qlNPuaVV16JffbZJ4qLi2OnnXaKBx98MPV1NZcBAAAAAKqx5cuXx5577hljxoyp0PGzZs2KI488Mg455JCYPn16XHDBBXHWWWfFCy+8kOq6mSRJks0pGAAAAACAqiWTycSTTz4Z/fr12+Axl156aTz77LMxY8aMsm0nnXRSLF68OMaNG1fha5lcBgAAAACoYkpKSmLp0qXlbiUlJZVy7smTJ0fv3r3LbevTp09Mnjw51XlqVUo1laDu3oNzXQI1TEGHrrkuIWvtO22f6xIqRWlp9f8DiZ3bN8t1CZViyfJVuS6hUrRv1TDXJWTt2fEf5LqESrHs71/kuoSsHXf64bkuoVJ8+tWSXJdQKWZMm5XrErL289O+n+sSKsWjL3yU6xKytuDLObkuoVI0aNYk1yVUil4H7ZzrErI28/NFuS6hUvzs8A65LoH/38WDb851CZVi0Zu357qErDXdt2b0pf71dvV/Lba2qtyTvPSY5nHVVVeV2zZixIgYOXJk1ueeO3dutGzZsty2li1bxtKlS+Nf//pX1K1bt0LnqTLNZQAAAAAA/m3o0KExZMiQctuKi4tzVM36aS4DAAAAAFQxxcXFW6yZ3KpVq5g3b165bfPmzYtGjRpVeGo5QnMZAAAAAMhXmfz8SLqePXvGc889V27b+PHjo2fPnqnOk5/PHgAAAABADfHNN9/E9OnTY/r06RERMWvWrJg+fXp8+eWXEfHviI3TTz+97Pif//zn8dlnn8Ull1wSH374Ydxxxx3x2GOPxYUXXpjquprLAAAAAADV2FtvvRV777137L333hERMWTIkNh7771j+PDhERExZ86cskZzRET79u3j2WefjfHjx8eee+4Zt9xyS9x7773Rp0+fVNcViwEAAAAA5KdMJtcVVIqDDz44kiTZ4P4HH3xwvY95++23s7quyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAfsqYvc2GZw8AAAAAgNQ0lwEAAAAASE0sBgAAAACQnzKZXFdQrZlcBgAAAAAgNc1lAAAAAABSE4sBAAAAAOSnjNnbbHj2AAAAAABITXMZAAAAAIDUxGIAAAAAAPkpk8l1BdWayWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAfsqYvc2GZw8AAAAAgNQ0lwEAAAAASE0sBgAAAACQnzKZXFdQrZlcBgAAAAAgNc1lAAAAAABSE4sBAAAAAOSnjNnbbHj2AAAAAABITXMZAAAAAIDUxGIAAAAAAPkpk8l1BdWayWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAfsqYvc2GZw8AAAAAgNQ0lwEAAAAASE0sBgAAAACQnzKZXFdQrZlcBgAAAAAgNc1lAAAAAABSE4sBAAAAAOSnjNnbbHj2AAAAAABITXMZAAAAAIDUxGIAAAAAAPlJLEZWPHsAAAAAAKSmuQwAAAAAQGpiMQAAAACA/FSQyXUF1ZrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEB+ypi9zYZnDwAAAACA1DSXAQAAAABITSwGAAAAAJCfMplcV1CtmVwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KeM2dtsePYAAAAAAEhNcxkAAAAAgNTEYgAAAAAA+SmTyXUF1ZrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEB+ypi9zYZnDwAAAACA1DSXAQAAAABITSwGAAAAAJCfMplcV1CtmVwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KeM2dtsePYAAAAAAEhNcxkAAAAAgNTEYgAAAAAA+SmTyXUF1ZrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEB+ypi9zYZnDwAAAACA1DSXAQAAAABITSwGAAAAAJCfMplcV1CtmVwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KeM2dtsePYAAAAAAEhNcxkAAAAAgNTEYgAAAAAA+UksRlY8ewAAAAAApKa5DAAAAABAamIxAAAAAID8lMnkuoJqzeQyAAAAAACpaS4DAAAAAJCa5jIAAAAAAKnJXAYAAAAA8lPG7G02PHsAAAAAAKSmuQwAAAAAQGpiMQAAAACA/JTJ5LqCas3kMgAAAAAAqWkuAwAAAACQmlgMAAAAACA/ZczeZsOzBwAAAABAaprLAAAAAACkJhYDAAAAAMhPmUyuK6jWTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8lJGLEZWTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pJYjOyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJ6kYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLmYxcjGyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJbEY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLYjGyY3IZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJfEYmTH5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgP0nFyIrJZQAAAAAAUtNcBgAAAAAgtaxiMRYuXBgREc2bN6+UYgAAAAAAtpZMRi5GNlJPLi9evDgGDRoUzZs3j5YtW0bLli2jefPmMXjw4Fi8ePEWKBEAAAAAgKom1eTyP//5z+jZs2d89dVXccopp8Suu+4aERHvv/9+PPjggzFhwoSYNGlSNG3adIsUCwAAAABA1ZCquXz11VdHUVFRfPrpp9GyZct19h1++OFx9dVXx6233lqpRQIAAAAAVDaxGNlJFYvx1FNPxc0337xOYzkiolWrVnHjjTfGk08+ucnzlJSUxNKlS8vdktK1aUoBAAAAACCHUjWX58yZE7vtttsG9+++++4xd+7cTZ5n1KhR0bhx43K3NfOmpikFAAAAAIAcStVcbt68eXz++ecb3D9r1qxo1qzZJs8zdOjQWLJkSblbrZZd05QCAAAAAJCVTCZTZW/VQarmcp8+feLyyy+PVatWrbOvpKQkrrzyyujbt+8mz1NcXByNGjUqd8sUFKYpBQAAAACAHEr9gX7dunWLnXfeOQYNGhSdOnWKJEnigw8+iDvuuCNKSkrioYce2lK1AgAAAABQRaRqLm+//fYxefLkOOecc2Lo0KGRJElE/Ht8/LDDDovbb789dthhhy1SKAAAAABAZaou8RNVVarmckRE+/bt4/nnn49FixbFzJkzIyJip512qlDWMgAAAAAANUPq5vK3mjZtGt27d6/MWgAAAAAAqCY2u7kMAAAAAFCtScXISkGuCwAAAAAAoPrRXAYAAAAAIDWxGAAAAABAXspk5GJkw+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC+JxciOyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXhKLkR2TywAAAAAApKa5DAAAAABAamIxAAAAAID8JBUjKyaXAQAAAABITXMZAAAAAKCaGzNmTLRr1y7q1KkTPXr0iClTpmz0+Ntuuy06duwYdevWjR122CEuvPDCWLlyZaprisUAAAAAAPJSJlMzcjEeffTRGDJkSIwdOzZ69OgRt912W/Tp0yc++uijaNGixTrHP/LII3HZZZfF/fffH/vtt198/PHHccYZZ0Qmk4nRo0dX+LomlwEAAAAAqrHRo0fH2WefHQMHDozOnTvH2LFjo169enH//fev9/hJkybF/vvvHz/5yU+iXbt2cfjhh8fJJ5+8yWnn79JcBgAAAACoYkpKSmLp0qXlbiUlJesct2rVqpg6dWr07t27bFtBQUH07t07Jk+evN5z77fffjF16tSyZvJnn30Wzz33XPzwhz9MVaPmMgAAAACQlzKZTJW9jRo1Kho3blzuNmrUqHXWsHDhwli7dm20bNmy3PaWLVvG3Llz17vun/zkJ3H11VfHAQccELVr144OHTrEwQcfHMOGDUv1/GkuAwAAAABUMUOHDo0lS5aUuw0dOrRSzv3KK6/E9ddfH3fccUdMmzYtnnjiiXj22WfjmmuuSXUeH+gHAAAAAFDFFBcXR3Fx8SaPa968eRQWFsa8efPKbZ83b160atVqvY+58sor47TTTouzzjorIiK6dOkSy5cvj5/97Gdx+eWXR0FBxWaSTS4DAAAAAHkp19EXG7tVVFFRUXTt2jUmTJhQtq20tDQmTJgQPXv2XO9jVqxYsU4DubCwMCIikiSp8LVNLgMAAAAAVGNDhgyJAQMGRLdu3aJ79+5x2223xfLly2PgwIEREXH66adHmzZtyjKbjzrqqBg9enTsvffe0aNHj/jkk0/iyiuvjKOOOqqsyVwRmssAAAAAANXYiSeeGAsWLIjhw4fH3LlzY6+99opx48aVfcjfl19+WW5S+YorrohMJhNXXHFFfPXVV7HtttvGUUcdFdddd12q62ouAwAAAAB5KU38RFU3ePDgGDx48Hr3vfLKK+Xu16pVK0aMGBEjRozI6poylwEAAAAASE1zGQAAAACA1MRiAAAAAAD5qeakYuSEyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXspk5GJkw+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC+JxciOyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXhKLkR2TywAAAAAApKa5DAAAAABAamIxAAAAAID8JBUjKyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHkpk5GLkQ2TywAAAAAApKa5DAAAAABAamIxAAAAAIC8JBYjOyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHlJLEZ2TC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pJYjOyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJ6kYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLmYxcjGyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJbEY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLUjGyY3IZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcycjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJekYmTH5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL2XkYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL0nFyI7JZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeKiiQi5ENk8sAAAAAAKSmuQwAAAAAQGpiMQAAAACAvJSRipEVk8sAAAAAAKSmuQwAAAAAQGpiMQAAAACAvJSRi5EVk8sAAAAAAKSmuQwAAAAAQGpiMQAAAACAvCQVIzsmlwEAAAAASE1zGQAAAACA1MRiAAAAAAB5KSMXIysmlwEAAAAASE1zGQAAAACA1MRiAAAAAAB5SSxGdkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPKSVIzsmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMXIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5CWpGNkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxm5GFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS1IxsmNyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXMnIxsmJyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXpGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9JxchOJkmSJNdFRESsXJPrCqhpZi9amesSsvbVon/luoRKsU2DolyXkLVVa0pzXUKlqFtUmOsSKkXT+rVzXULWGhTXjN/vltSAfxslq6v/GiIiahXWjO+Ki2pV/z+sm7O4+n8PEhHRtnm9XJeQtSUrVue6hErRuF71f9+rKT6avSzXJVSKjq0b5roEYAupUzN+zNiqvv+rV3Ndwga9flmvXJewSdX/u3cAAAAAALY6v88AAAAAAPJSRi5GVkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPKSVIzsmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMXIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5CWpGNkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxm5GFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS2IxsmNyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXpGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9l5GJkxeQyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9JxciOyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXsrIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXpKKkR2TywAAAAAApKa5DAAAAABAamIxAAAAAIC8VCAXIysmlwEAAAAASE1zGQAAAACA1MRiAAAAAAB5SSpGdkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSRi5GVkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPJSgVSMrJhcBgAAAAAgNc1lAAAAAABS01wGAAAAAPJSJpOpsre0xowZE+3atYs6depEjx49YsqUKRs9fvHixTFo0KDYbrvtori4OHbZZZd47rnnUl1T5jIAAAAAQDX26KOPxpAhQ2Ls2LHRo0ePuO2226JPnz7x0UcfRYsWLdY5ftWqVXHYYYdFixYt4vHHH482bdrEF198EU2aNEl1Xc1lAAAAAIBqbPTo0XH22WfHwIEDIyJi7Nix8eyzz8b9998fl1122TrH33///fHPf/4zJk2aFLVr146IiHbt2qW+rlgMAAAAACAvZTJV91ZSUhJLly4tdyspKVlnDatWrYqpU6dG7969y7YVFBRE7969Y/Lkyetd9zPPPBM9e/aMQYMGRcuWLWP33XeP66+/PtauXZvq+dNcBgAAAACoYkaNGhWNGzcudxs1atQ6xy1cuDDWrl0bLVu2LLe9ZcuWMXfu3PWe+7PPPovHH3881q5dG88991xceeWVccstt8S1116bqkaxGAAAAAAAVczQoUNjyJAh5bYVFxdXyrlLS0ujRYsWcffdd0dhYWF07do1vvrqq7jppptixIgRFT6P5jIAAAAAkJcykcl1CRtUXFxcoWZy8+bNo7CwMObNm1du+7x586JVq1brfcx2220XtWvXjsLCwrJtu+66a8ydOzdWrVoVRUVFFapRLAYAAAAAQDVVVFQUXbt2jQkTJpRtKy0tjQkTJkTPnj3X+5j9998/PvnkkygtLS3b9vHHH8d2221X4cZyhOYyAAAAAEC1NmTIkLjnnnvit7/9bXzwwQfxi1/8IpYvXx4DBw6MiIjTTz89hg4dWnb8L37xi/jnP/8Z559/fnz88cfx7LPPxvXXXx+DBg1KdV2xGAAAAABAXiqouqkYqZx44omxYMGCGD58eMydOzf22muvGDduXNmH/H355ZdRUPB/c8Y77LBDvPDCC3HhhRfGHnvsEW3atInzzz8/Lr300lTXzSRJklTqSjbTyjW5roCaZvailbkuIWtfLfpXrkuoFNs0qPifU1RVq9aUbvqgaqBuUeGmD6oGmtavnesSstaguGb8frekBvzbKFld/dcQEVGrsGZ8V1xUq/r/Yd2cxdX/e5CIiLbN6+W6hKwtWbE61yVUisb1qv/7Xk3x0exluS6hUnRs3TDXJQBbSJ2a8WPGVnX03W/muoQNeuZn++a6hE2q/t+9AwAAAACw1fl9BgAAAACQlzKZmvEXgLlichkAAAAAgNQ0lwEAAAAASE0sBgAAAACQl6RiZMfkMgAAAAAAqWkuAwAAAACQmlgMAAAAACAvFcjFyIrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBekoqRHZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUkYuRFZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLwkFSM7JpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAealALkZWTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pJQjOyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkpUxGMEY2TC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8lKBVIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KVMRi5GNkwuAwAAAACQmuYyAAAAAACpicUAAAAAAPKSVIzsmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KWMXIysmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KUCqRhZMbkMAAAAAEBqmssAAAAAAKS2WbEYJSUlsWbNmqhfv35l1wMAAAAAsFVkMnIxspFqcnnBggVxxBFHRIMGDaJRo0bx/e9/Pz755JMtVRsAAAAAAFVUqubypZdeGtOnT4+rr746br755li8eHGcffbZW6o2AAAAAACqqFSxGOPHj48HH3ww+vTpExERP/rRj2LXXXeNkpKSKC4u3iIFAgAAAABsCUIxspNqcnn27Nmx5557lt3feeedo7i4OObMmVPphQEAAAAAUHWlai5HRBQWFq5zP0mSSisIAAAAAICqL1UsRpIkscsuu5T7FMVvvvkm9t577ygo+L8+9T//+c/KqxAAAAAAYAsoyAjGyEaq5vIDDzywpeoAAAAAAKAaSdVcHjBgwJaqAwAAAACAaiRV5vKUKVNi7dq1G9xfUlISjz32WNZFAQAAAABsaZlM1b1VB6mayz179oyvv/667H6jRo3is88+K7u/ePHiOPnkkyuvOgAAAAAAqqRUzeUkSTZ6f0PbAAAAAACoWVJlLldEprrMbAMAAAAAeU0vMzupJpcBAAAAACBiMyaX33///Zg7d25E/DsC48MPP4xvvvkmIiIWLlxYudUBAAAAAFAlpW4uH3rooeVylX/0ox9FxL9HyJMkMUoOAAAAAFQLWpnZSdVcnjVr1paqAwAAAACAaiRVc7lt27Zbqg4AAAAAAKqR1LEYEREzZ86Mp59+Oj7//PPIZDLRvn376NevX+y4446VXR8AAAAAwBZRIBcjK6mby6NGjYrhw4dHaWlptGjRIpIkiQULFsRll10W119/fVx88cVbok4AAAAAAKqQgjQHT5w4Ma644oq4/PLLY+HChTFnzpyYO3duWXP5sssui7/+9a9bqlYAAAAAAKqIVJPLY8eOjbPOOitGjhxZbnuzZs3i6quvjrlz58add94ZBx10UGXWCAAAAABQ6aRiZCfV5PKUKVPitNNO2+D+0047LV5//fWsiwIAAAAAoGpL1VyeN29etGvXboP727dvH3Pnzs22JgAAAAAAqrhUsRgrV66MoqKiDe6vXbt2rFq1KuuiAAAAAAC2tIxcjKykai5HRNx7773RoEGD9e5btmxZ1gUBAAAAAFD1pWouf+9734t77rlnk8dsSklJSZSUlJTblhQWR3FxcZpyAAAAAADIkVTN5c8//7xSLjpq1Ki46qqrym27/MoRccXwkZVyfgAAAACATUn1gXSsI3Usxnf94x//iNatW0dBQcVfiqFDh8aQIUPKbUsKTS0DAAAAAFQXWTeXO3fuHNOnT48dd9yxwo8pLl43AmPlmmwrAQAAAABga8m6uZwkSWXUAQAAAACwVWUymVyXUK2JFQEAAAAAILWsm8vDhg2LZs2aVUYtAAAAAABUE6ljMZYuXRoNGjQo+wC/oUOHRkTE2rVrY/ny5dGoUaPKrRAAAAAAYAsokIqRlVSTy08++WR069YtVq5cuc6+lStXxr777ht//vOfK604AAAAAACqplTN5TvvvDMuueSSqFev3jr76tevH5deemncfvvtlVYcAAAAAABVU6rm8owZM+Lggw/e4P6DDjoo3n333WxrAgAAAADY4goyVfdWHaRqLi9atCjWrFmzwf2rV6+ORYsWZV0UAAAAAABVW6rmcrt27eKtt97a4P633nor2rZtm3VRAAAAAABUbamay/3794/LL7885s2bt86+uXPnxhVXXBHHHXdcpRUHAAAAALClZDKZKnurDmqlOfiyyy6Lp59+Onbeeec49dRTo2PHjhER8eGHH8bvf//72GGHHeKyyy7bIoUCAAAAAFB1pGouN2zYMP72t7/F0KFD49FHHy3LV27SpEmceuqpcd1110XDhg23SKEAAAAAAFQdqZrLERGNGzeOO+64I8aMGRMLFy6MJEli2223rTaj2gAAAAAAEREFWppZSd1c/ta7774bH3/8cUREdOzYMbp06VJpRQEAAAAAULWlbi5PmTIlzjzzzHj//fcjSZKI+Hfw9W677Rb33Xdf7LvvvpVeJAAAAAAAVUtBmoPff//9OPTQQ6Nu3brx8MMPx7Rp02LatGnx0EMPRXFxcRx66KHx/vvvb6laAQAAAAAqTSZTdW/VQSb5dvy4Ak444YRYs2ZN/OlPf1onYzlJkujfv3/Url07HnvssdSFrFyT+iGwUbMXrcx1CVn7atG/cl1CpdimQVGuS8jaqjWluS6hUtQtKsx1CZWiaf3auS4haw2KNzuZqkopqQH/NkpWV/81RETUKqwm331uQlGtVLMPVdKcxdX/e5CIiLbN6+W6hKwtWbE61yVUisb1qv/7Xk3x0exluS6hUnRs3TDXJQBbSJ2a8WPGVnXJsx/luoQNuvHIjrkuYZNSfclNnDgxnn/++fV+eF8mk4lhw4bFD3/4w0orDgAAAACAqilVc3nZsmXRsmXLDe5v1apVLFtWM36TCwAAAADUbAXVJX+iikr1d4dt27aNKVOmbHD/G2+8EW3bts26KAAAAAAAqrZUzeWTTjophgwZEjNmzFhn37vvvhsXX3xxnHjiiZVWHAAAAAAAVVOqWIyhQ4fGSy+9FHvttVccdthhseuuu0aSJPHBBx/ESy+9FN27d49hw4ZtqVoBAAAAACpN9f846dxK9fzVqVMnJk6cGNddd13MmTMnxo4dG3fddVfMnTs3rr322njsscfivPPO21K1AgAAAABQRWSSJEkq62TvvPNO7LPPPrF27drUj125prKqgH+bvWhlrkvI2leL/pXrEirFNg2Kcl1C1latKc11CZWiblFhrkuoFE3r1851CVlrUJzqj4eqrJIa8G+jZHX1X0NERK3CmvFBJEW1qv/syJzF1f97kIiIts3r5bqErC1ZsTrXJVSKxvWq//teTfHR7JrxAfYdWzfMdQnAFlKnZvyYsVUNe+7jXJewQdf/cJdcl7BJvuQAAAAAgLyUqRkzGjlT/UdDAAAAAADY6jSXAQAAAABILVUsRv/+/Te6f/HixdnUAgAAAACw1RTIxchKquZy48aNN7n/9NNPz6ogAAAAAACqvlTN5QceeGBL1QEAAAAAQDWSqrkMAAAAAFBTSMXIjg/0AwAAAAAgNc1lAAAAAABSE4sBAAAAAOSlArEYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLBRm5GNkwuQwAAAAAQGqaywAAAAAApCYWAwAAAADIS1IxsmNyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXCsRiZMXkMgAAAAAAqWkuAwAAAACQmlgMAAAAACAvZUIuRjZMLgMAAAAAkJrmMgAAAAAAqYnFAAAAAADyUoFUjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJbEY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLmYxcjGyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkpQKpGFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISxmxGFkxuQwAAAAAQGqaywAAAAAApCYWAwAAAADISwVyMbJichkAAAAAgNQ0lwEAAAAASE0sBgAAAACQlwqkYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL2XEYmTF5DIAAAAAQDU3ZsyYaNeuXdSpUyd69OgRU6ZMqdDj/vCHP0Qmk4l+/fqlvqbmMgAAAABANfboo4/GkCFDYsSIETFt2rTYc889o0+fPjF//vyNPu7zzz+Piy++OA488MDNuq7mMgAAAACQlwoiU2VvaYwePTrOPvvsGDhwYHTu3DnGjh0b9erVi/vvv3+Dj1m7dm2ccsopcdVVV8WOO+64mc8fAAAAAABVSklJSSxdurTcraSkZJ3jVq1aFVOnTo3evXuXbSsoKIjevXvH5MmTN3j+q6++Olq0aBFnnnnmZteouQwAAAAAUMWMGjUqGjduXO42atSodY5buHBhrF27Nlq2bFlue8uWLWPu3LnrPfdrr70W9913X9xzzz1Z1Vgrq0cDAAAAAFRTmXTpE1vV0KFDY8iQIeW2FRcXZ33eZcuWxWmnnRb33HNPNG/ePKtzaS4DAAAAAFQxxcXFFWomN2/ePAoLC2PevHnlts+bNy9atWq1zvGffvppfP7553HUUUeVbSstLY2IiFq1asVHH30UHTp0qFCNYjEAAAAAAKqpoqKi6Nq1a0yYMKFsW2lpaUyYMCF69uy5zvGdOnWKd999N6ZPn152O/roo+OQQw6J6dOnxw477FDha5tcBgAAAADyUkEVjsVIY8iQITFgwIDo1q1bdO/ePW677bZYvnx5DBw4MCIiTj/99GjTpk2MGjUq6tSpE7vvvnu5xzdp0iQiYp3tm6K5DAAAAABQjZ144omxYMGCGD58eMydOzf22muvGDduXNmH/H355ZdRUFD5IRaZJEmSSj/rZli5JtcVUNPMXrQy1yVk7atF/8p1CZVimwZFuS4ha6vWlOa6hEpRt6gw1yVUiqb1a+e6hKw1KK4Zv98tqQH/NkpWV/81RETUKqwZIxdFtap/atucxdX/e5CIiLbN6+W6hKwtWbE61yVUisb1qv/7Xk3x0exluS6hUnRs3TDXJQBbSJ2a8WPGVjV28ue5LmGDft6zXa5L2CRfcgAAAABAXirI1IwhjVyp/qMhAAAAAABsdZrLAAAAAACkprkMAAAAAEBqMpcBAAAAgLwkcjk7JpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAealALkZWTC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pJUjOyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJZO32fH8AQAAAACQmuYyAAAAAACpicUAAAAAAPJSJpPJdQnVmsllAAAAAABS01wGAAAAACA1sRgAAAAAQF4SipEdk8sAAAAAAKSmuQwAAAAAQGpiMQAAAACAvFSQEYyRDZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLwkFCM7JpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAeSkjFyMrJpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAeSkjFyMrJpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAecnkbXY8fwAAAAAApKa5DAAAAABAamIxAAAAAIC8lMlkcl1CtWZyGQAAAACA1DSXAQAAAABITSwGAAAAAJCXhGJkx+QyAAAAAACpaS4DAAAAAJCaWAwAAAAAIC9lMoIxsmFyGQAAAACA1EwuU2O1blon1yVkrUWj4lyXUCkWLV+V6xKy9vU31X8NERErStbmuoRKMeGz+bkuIWu92m6b6xIqxfbN6ua6hKy9OHNurkuoFDs0rJfrEirFjs0b5LqErL3xj69zXUKlWLpida5LyNou2zXMdQmVYubcb3JdQqV4fua8XJeQtZ/stUOuS6gUx903Jdcl8P/705ndc11CpWi67+Bcl5C1RW/enusSoFrSXAYAAAAA8pJYh+x4/gAAAAAASE1zGQAAAACA1MRiAAAAAAB5KZPJ5LqEas3kMgAAAAAAqWkuAwAAAACQmlgMAAAAACAvCcXIjsllAAAAAABS01wGAAAAACA1sRgAAAAAQF7KyMXIisllAAAAAABS01wGAAAAACA1sRgAAAAAQF4qCLkY2TC5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLGakYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLmZCLkQ2TywAAAAAApKa5DAAAAABAamIxAAAAAIC8lJGKkRWTywAAAAAApKa5DAAAAABAamIxAAAAAIC8VBByMbJhchkAAAAAgNQ0lwEAAAAASE0sBgAAAACQlzJSMbJichkAAAAAgNQ0lwEAAAAASE0sBgAAAACQl8RiZMfkMgAAAAAAqWkuAwAAAACQmlgMAAAAACAvZUIuRjZMLgMAAAAAkJrmMgAAAAAAqYnFAAAAAADyUoFUjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkpUzIxciGyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXspIxciKyWUAAAAAAFLTXAYAAAAAIDWxGAAAAABAXsqEXIxsmFwGAAAAACA1zWUAAAAAAFITiwEAAAAA5KUCqRhZMbkMAAAAAEBqmssAAAAAAKQmFgMAAAAAyEuZkIuRDZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUkYqRFZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLwkFSM7JpcBAAAAAEhNcxkAAAAAgNTEYgAAAAAAeakgIxgjGyaXAQAAAABITXMZAAAAAIDUxGIAAAAAAHlJKEZ2TC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pNcjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkpYxcjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkpYxUjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJakY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhPcjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcycjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcyUjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJekYmTH5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgP8nFyIrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeysjFyIrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeykjFyIrJZQAAAACAam7MmDHRrl27qFOnTvTo0SOmTJmywWPvueeeOPDAA6Np06bRtGnT6N2790aP3xDNZQAAAACAauzRRx+NIUOGxIgRI2LatGmx5557Rp8+fWL+/PnrPf6VV16Jk08+OSZOnBiTJ0+OHXbYIQ4//PD46quvUl1XcxkAAAAAyEuZKnxLY/To0XH22WfHwIEDo3PnzjF27NioV69e3H///es9/ve//32cc845sddee0WnTp3i3nvvjdLS0pgwYUKq61Zqc3nOnDkxePDgyjwlAAAAAEDeKSkpiaVLl5a7lZSUrHPcqlWrYurUqdG7d++ybQUFBdG7d++YPHlyha61YsWKWL16dTRr1ixVjamby++9917cfvvtcffdd8fixYsjImLhwoVx4YUXxo477hgTJ05Me0oAAAAAAP7DqFGjonHjxuVuo0aNWue4hQsXxtq1a6Nly5bltrds2TLmzp1boWtdeuml0bp163IN6oqolebgZ555Jo4//vhYs2ZNRETceOONcc8998QJJ5wQXbt2jSeffDL69u2bqgAAAAAAgJxImz+xFQ0dOjSGDBlSbltxcXGlX+dXv/pV/OEPf4hXXnkl6tSpk+qxqSaXr7322hg0aFAsXbo0Ro8eHZ999lmcd9558dxzz8W4ceM0lgEAAAAAKkFxcXE0atSo3G19zeXmzZtHYWFhzJs3r9z2efPmRatWrTZ6jZtvvjl+9atfxYsvvhh77LFH6hpTNZc/+uijGDRoUDRo0CDOPffcKCgoiFtvvTX23Xff1BcGAAAAACA7RUVF0bVr13Ifxvfth/P17Nlzg4+78cYb45prrolx48ZFt27dNuvaqWIxli1bFo0aNYqIiMLCwqhbt27suOOOm3VhAAAAAIBcylTlXIwUhgwZEgMGDIhu3bpF9+7d47bbbovly5fHwIEDIyLi9NNPjzZt2pRlNt9www0xfPjweOSRR6Jdu3Zl2cwNGjSIBg0aVPi6qZrLEREvvPBCNG7cOCL+rwM+Y8aMcsccffTRaU8LAAAAAMBmOPHEE2PBggUxfPjwmDt3buy1114xbty4sg/5+/LLL6Og4P9CLO68885YtWpVHH/88eXOM2LEiBg5cmSFr5u6uTxgwIBy9//f//t/5e5nMplYu3Zt2tMCAAAAALCZBg8eHIMHD17vvldeeaXc/c8//7xSrpmquVxaWlopFwUAAAAAyLVMzUjFyJlUH+hXEf/6178q+5QAAAAAAFQxldZcLikpiVtuuSXat29fWacEAAAAAKCKStVcLikpiaFDh0a3bt1iv/32i6eeeioiIh544IFo37593HbbbXHhhRduiToBAAAAACpVpgrfqoNUmcvDhw+Pu+66K3r37h2TJk2KH//4xzFw4MB4/fXXY/To0fHjH/84CgsLt1StAAAAAABUEamay3/84x/jd7/7XRx99NExY8aM2GOPPWLNmjXxzjvvREb6NQAAAABA3kjVXP7HP/4RXbt2jYiI3XffPYqLi+PCCy/UWAYAAAAAqh9tzaykylxeu3ZtFBUVld2vVatWNGjQoNKLAgAAAACgaks1uZwkSZxxxhlRXFwcERErV66Mn//851G/fv1yxz3xxBOVVyEAAAAAAFVOqubygAEDyt0/9dRTK7UYAAAAAICtJSMXIyupmssPPPDAlqoDAAAAAIBqJFXm8sYkSRLPP/98HH/88ZV1SgAAAAAAqqism8uzZs2KK6+8Mr73ve/FscceGytXrqyMugAAAAAAtqhMpureqoNUsRjfKikpiccffzzuu+++eO2112Lt2rVx8803x5lnnhmNGjWq7BoBAAAAAKhiUk0uT506Nc4555xo1apV3HbbbdGvX7/4+9//HgUFBdGnTx+NZQAAAACAPJFqcrlHjx5x7rnnxuuvvx4dO3bcUjUBAAAAAGxx1SR9ospK1Vw+9NBD47777ov58+fHaaedFn369IlMdQkAAQAAAACg0qSKxXjhhRfivffei44dO8YvfvGL2G677eL888+PiNBkBgAAAADII6mayxERO+ywQwwfPjxmzZoVDz30UCxYsCBq1aoVxxxzTAwbNiymTZu2yXOUlJTE0qVLy91KSko2awEAAAAAAJslU4Vv1UDq5vJ/Ouyww+KRRx6J2bNnx7nnnhvPP/987Lvvvpt83KhRo6Jx48blbjfdMCqbUgAAAAAA2Iqyai5HRPzjH/+Ixo0bx7nnnhtvv/12vPnmm5t8zNChQ2PJkiXlbr+8dGi2pQAAAAAAsJWk+kC/9encuXNMnz49dtxxx4iI2GeffTb5mOLi4iguLi63beWabCsBAAAAAKi4THXJn6iisp5cTpKkMuoAAAAAAKAaybq5DAAAAABA/sk6FmPYsGHRrFmzyqgFAAAAAGCryUjFyErqyeWlS5dGaWlp2f2hQ4dGkyZNYu3atbF06dJKLQ4AAAAAgKopVXP5ySefjG7dusXKlSvX2bdy5crYd999489//nOlFQcAAAAAQNWUqrl85513xiWXXBL16tVbZ1/9+vXj0ksvjdtvv73SigMAAAAA2FIyVfhWHaRqLs+YMSMOPvjgDe4/6KCD4t133822JgAAAAAAqrhUzeVFixbFmjVrNrh/9erVsWjRoqyLAgAAAACgakvVXG7Xrl289dZbG9z/1ltvRdu2bbMuCgAAAABgi8t19kU1z8VI1Vzu379/XH755TFv3rx19s2dOzeuuOKKOO644yqtOAAAAAAAqqZaaQ6+7LLL4umnn46dd945Tj311OjYsWNERHz44Yfx+9//PnbYYYe47LLLtkihAAAAAABUHamayw0bNoy//e1vMXTo0Hj00UfL8pWbNGkSp556alx33XXRsGHDLVIoAAAAAEBlylSX/IkqKlVzOSKicePGcccdd8SYMWNi4cKFkSRJbLvttpHJeCEAAAAAAPJF6ubyt9599934+OOPIyKiY8eO0aVLl0orCgAAAACAqi11c3nKlClx5plnxvvvvx9JkkRERCaTid122y3uu+++2HfffSu9SAAAAACAyiaMITsFaQ5+//3349BDD426devGww8/HNOmTYtp06bFQw89FMXFxXHooYfG+++/v6VqBQAAAACgikg1uTxy5Mg47LDD4k9/+lO5jOW99torTj755Ojfv3+MHDkyHnvssUovFAAAAACAqiNVc3nixInx/PPPr/fD+zKZTAwbNix++MMfVlpxAAAAAABbilSM7KSKxVi2bFm0bNlyg/tbtWoVy5Yty7ooAAAAAACqtlTN5bZt28aUKVM2uP+NN96Itm3bZl0UAAAAAABVW6rm8kknnRRDhgyJGTNmrLPv3XffjYsvvjhOPPHESisOAAAAAGCLyVThWzWQKnN56NCh8dJLL8Vee+0Vhx12WOy6666RJEl88MEH8dJLL0X37t1j2LBhW6pWAAAAAACqiFSTy3Xq1ImJEyfGddddF3PmzImxY8fGXXfdFXPnzo1rr702HnvssTjvvPO2VK0AAAAAAFQRqSaXIyKKiori0ksvjUsvvXSdfe+8807cd999cffdd1dKcQAAAAAAW0qmuuRPVFGpJpcBAAAAACBCcxkAAAAAgM2QOhYDAAAAAKAmyEjFyEqq5nL//v03un/x4sXZ1AIAAAAAQDWRqrncuHHjTe4//fTTsyoIAAAAAICqL1Vz+YEHHthSdQAAAAAAbFVSMbLjA/0AAAAAAEhNcxkAAAAAgNRSxWIAAAAAANQYcjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcycjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJcyUjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJekYmTH5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL2XkYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgT8nFyIbJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBeykjFyIrJZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEBekoqRHZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUkYuRFZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUCbkY2TC5DAAAAABAaprLAAAAAACkJhYDAAAAAMhPUjGyYnIZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJekYmTH5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL2XkYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL2VCLkY2TC4DAAAAAJCa5jIAAAAAAKmJxQAAAAAA8pNUjKyYXAYAAAAAIDXNZQAAAAAAUhOLAQAAAADkJakY2TG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLGbkYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLmZCLkQ2TywAAAAAApKa5DAAAAABAamIxAAAAAIC8lJGKkRWTywAAAAAApKa5DAAAAABAaprLAAAAAACkprkMAAAAAEBqmssAAAAAAKRWK9cFAAAAAADkQiaT6wqqN5PLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUCbkY2TC5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLGakYWTG5DAAAAABAaprLAAAAAACkJhYDAAAAAMhLUjGyY3IZAAAAAIDUNJcBAAAAAEhNLAYAAAAAkJ/kYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL2XkYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL2WkYmTF5DIAAAAAAKlpLgMAAAAAkJpYDAAAAAAgL0nFyI7JZQAAAAAAUtNcBgAAAAAgNbEYAAAAAEB+kouRFZPLAAAAAACkprkMAAAAAEBqYjEAAAAAgLyUkYuRFZPLAAAAAACkprkMAAAAAFDNjRkzJtq1axd16tSJHj16xJQpUzZ6/B//+Mfo1KlT1KlTJ7p06RLPPfdc6mtqLgMAAAAAeSmTqbq3NB599NEYMmRIjBgxIqZNmxZ77rln9OnTJ+bPn7/e4ydNmhQnn3xynHnmmfH2229Hv379ol+/fjFjxoxU19VcBgAAAACoxkaPHh1nn312DBw4MDp37hxjx46NevXqxf3337/e43/9619H375945e//GXsuuuucc0118Q+++wTt99+e6rrai4DAAAAAFQxJSUlsXTp0nK3kpKSdY5btWpVTJ06NXr37l22raCgIHr37h2TJ09e77knT55c7viIiD59+mzw+A1K8sTKlSuTESNGJCtXrsx1KZutJqwhSWrGOmrCGpLEOqqSmrCGJKkZ66gJa0gS66hKasIakqRmrKMmrCFJrKMqqQlrSJKasY6asIYksY6qpCasIUlqxjpqwhqSpOasg61rxIgRSUSUu40YMWKd47766qskIpJJkyaV2/7LX/4y6d69+3rPXbt27eSRRx4pt23MmDFJixYtUtWYSZIkSdeOrp6WLl0ajRs3jiVLlkSjRo1yXc5mqQlriKgZ66gJa4iwjqqkJqwhomasoyasIcI6qpKasIaImrGOmrCGCOuoSmrCGiJqxjpqwhoirKMqqQlriKgZ66gJa4ioOetg6yopKVlnUrm4uDiKi4vLbZs9e3a0adMmJk2aFD179izbfskll8Srr74ab7zxxjrnLioqit/+9rdx8sknl22744474qqrrop58+ZVuMZaFT4SAAAAAICtYn2N5PVp3rx5FBYWrtMUnjdvXrRq1Wq9j2nVqlWq4zdE5jIAAAAAQDVVVFQUXbt2jQkTJpRtKy0tjQkTJpSbZP5PPXv2LHd8RMT48eM3ePyGmFwGAAAAAKjGhgwZEgMGDIhu3bpF9+7d47bbbovly5fHwIEDIyLi9NNPjzZt2sSoUaMiIuL888+PXr16xS233BJHHnlk/OEPf4i33nor7r777lTXzZvmcnFxcYwYMaJCo+RVVU1YQ0TNWEdNWEOEdVQlNWENETVjHTVhDRHWUZXUhDVE1Ix11IQ1RFhHVVIT1hBRM9ZRE9YQYR1VSU1YQ0TNWEdNWENEzVkHVdeJJ54YCxYsiOHDh8fcuXNjr732inHjxkXLli0jIuLLL7+MgoL/C7HYb7/94pFHHokrrrgihg0bFjvvvHM89dRTsfvuu6e6bt58oB8AAAAAAJVH5jIAAAAAAKlpLgMAAAAAkJrmMgAAAAAAqWkuAwAAAACQWl40l8eMGRPt2rWLOnXqRI8ePWLKlCm5LimVv/71r3HUUUdF69atI5PJxFNPPZXrklIbNWpU7LvvvtGwYcNo0aJF9OvXLz766KNcl5XanXfeGXvssUc0atQoGjVqFD179oznn38+12Vl5Ve/+lVkMpm44IILcl1KKiNHjoxMJlPu1qlTp1yXtVm++uqrOPXUU2ObbbaJunXrRpcuXeKtt97KdVkV1q5du3Vei0wmE4MGDcp1aamsXbs2rrzyymjfvn3UrVs3OnToENdcc01Ut8+9XbZsWVxwwQXRtm3bqFu3buy3337x5ptv5rqsjdrU+1ySJDF8+PDYbrvtom7dutG7d++YOXNmbordiE2t44knnojDDz88ttlmm8hkMjF9+vSc1LkxG1vD6tWr49JLL40uXbpE/fr1o3Xr1nH66afH7Nmzc1fwBmzqtRg5cmR06tQp6tevH02bNo3evXvHG2+8kZtiNyLN94A///nPI5PJxG233bbV6quITa3hjDPOWOf9o2/fvrkpdiMq8lp88MEHcfTRR0fjxo2jfv36se+++8aXX3659YvdgE2tYX3v5ZlMJm666abcFLwBm1rHN998E4MHD47tt98+6tatG507d46xY8fmptiN2NQ65s2bF2eccUa0bt066tWrF3379q1y730V+Rlv5cqVMWjQoNhmm22iQYMGcdxxx8W8efNyVPG6KrKGu+++Ow4++OBo1KhRZDKZWLx4cW6K3YhNreOf//xnnHvuudGxY8eoW7dufO9734vzzjsvlixZksOq11WR1+P//b//Fx06dIi6devGtttuG8ccc0x8+OGHOap4XWl6H0mSxBFHHFFt+zzwrRrfXH700UdjyJAhMWLEiJg2bVrsueee0adPn5g/f36uS6uw5cuXx5577hljxozJdSmb7dVXX41BgwbF66+/HuPHj4/Vq1fH4YcfHsuXL891aalsv/328atf/SqmTp0ab731VvzgBz+IY445Jt57771cl7ZZ3nzzzbjrrrtijz32yHUpm2W33XaLOXPmlN1ee+21XJeU2qJFi2L//feP2rVrx/PPPx/vv/9+3HLLLdG0adNcl1Zhb775ZrnXYfz48RER8eMf/zjHlaVzww03xJ133hm33357fPDBB3HDDTfEjTfeGL/5zW9yXVoqZ511VowfPz4eeuihePfdd+Pwww+P3r17x1dffZXr0jZoU+9zN954Y/zXf/1XjB07Nt54442oX79+9OnTJ1auXLmVK924Ta1j+fLlccABB8QNN9ywlSuruI2tYcWKFTFt2rS48sorY9q0afHEE0/ERx99FEcffXQOKt24Tb0Wu+yyS9x+++3x7rvvxmuvvRbt2rWLww8/PBYsWLCVK924in4P+OSTT8brr78erVu33kqVVVxF1tC3b99y7yP//d//vRUrrJhNrePTTz+NAw44IDp16hSvvPJK/O///m9ceeWVUadOna1c6YZtag3/+RrMmTMn7r///shkMnHcccdt5Uo3blPrGDJkSIwbNy4efvjh+OCDD+KCCy6IwYMHxzPPPLOVK924ja0jSZLo169ffPbZZ/H000/H22+/HW3bto3evXtXqZ+fKvIz3oUXXhh//vOf449//GO8+uqrMXv27Ojfv38Oqy6vImtYsWJF9O3bN4YNG5bDSjduU+uYPXt2zJ49O26++eaYMWNGPPjggzFu3Lg488wzc1x5eRV5Pbp27RoPPPBAfPDBB/HCCy9EkiRx+OGHx9q1a3NY+f9J0/u47bbbIpPJ5KBKqGRJDde9e/dk0KBBZffXrl2btG7dOhk1alQOq9p8EZE8+eSTuS4ja/Pnz08iInn11VdzXUrWmjZtmtx77725LiO1ZcuWJTvvvHMyfvz4pFevXsn555+f65JSGTFiRLLnnnvmuoysXXrppckBBxyQ6zIq1fnnn5906NAhKS0tzXUpqRx55JHJT3/603Lb+vfvn5xyyik5qii9FStWJIWFhclf/vKXctv32Wef5PLLL89RVel8932utLQ0adWqVXLTTTeVbVu8eHFSXFyc/Pd//3cOKqyYjb1fz5o1K4mI5O23396qNaVVke85pkyZkkRE8sUXX2ydojZDRdaxZMmSJCKSl156aesUtRk2tI5//OMfSZs2bZIZM2Ykbdu2TW699datXltFrW8NAwYMSI455pic1LO51reOE088MTn11FNzU9BmqMi/i2OOOSb5wQ9+sHUK2kzrW8duu+2WXH311eW2VfX3we+u46OPPkoiIpkxY0bZtrVr1ybbbrttcs899+Sgwor57s94ixcvTmrXrp388Y9/LDvmgw8+SCIimTx5cq7K3KiN/Zw6ceLEJCKSRYsWbf3CUqrIz9uPPfZYUlRUlKxevXorVpZORdbxzjvvJBGRfPLJJ1uxsorb0BrefvvtpE2bNsmcOXNqTJ+H/FWjJ5dXrVoVU6dOjd69e5dtKygoiN69e8fkyZNzWBnf/vlNs2bNclzJ5lu7dm384Q9/iOXLl0fPnj1zXU5qgwYNiiOPPLLcv4/qZubMmdG6devYcccd45RTTqlSf3paUc8880x069YtfvzjH0eLFi1i7733jnvuuSfXZW22VatWxcMPPxw//elPq91v4ffbb7+YMGFCfPzxxxER8c4778Rrr70WRxxxRI4rq7g1a9bE2rVr15mUq1u3brWc7I+ImDVrVsydO7fc/6saN24cPXr08F5eBSxZsiQymUw0adIk16VstlWrVsXdd98djRs3jj333DPX5aRSWloap512Wvzyl7+M3XbbLdflbLZXXnklWrRoER07doxf/OIX8fXXX+e6pFRKS0vj2WefjV122SX69OkTLVq0iB49elTrP3GeN29ePPvss1VuqrEi9ttvv3jmmWfiq6++iiRJYuLEifHxxx/H4YcfnuvSKqykpCQiotz7eUFBQRQXF1fp9/Pv/ow3derUWL16dbn38E6dOsX3vve9KvseXhN+To2o2DqWLFkSjRo1ilq1am2tslLb1DqWL18eDzzwQLRv3z522GGHrVlaha1vDStWrIif/OQnMWbMmGjVqlWuSoNKU6ObywsXLoy1a9dGy5Yty21v2bJlzJ07N0dVUVpaGhdccEHsv//+sfvuu+e6nNTefffdaNCgQRQXF8fPf/7zePLJJ6Nz5865LiuVP/zhDzFt2rQYNWpUrkvZbD169Cj7c64777wzZs2aFQceeGAsW7Ys16Wl8tlnn8Wdd94ZO++8c7zwwgvxi1/8Is4777z47W9/m+vSNstTTz0VixcvjjPOOCPXpaR22WWXxUknnRSdOnWK2rVrx9577x0XXHBBnHLKKbkurcIaNmwYPXv2jGuuuSZmz54da9eujYcffjgmT54cc+bMyXV5m+Xb92vv5VXPypUr49JLL42TTz45GjVqlOtyUvvLX/4SDRo0iDp16sStt94a48ePj+bNm+e6rFRuuOGGqFWrVpx33nm5LmWz9e3bN373u9/FhAkT4oYbbohXX301jjjiiCrz580VMX/+/Pjmm2/iV7/6VfTt2zdefPHFOPbYY6N///7x6quv5rq8zfLb3/42GjZsWKXiCyrqN7/5TXTu3Dm23377KCoqir59+8aYMWPioIMOynVpFfZtA3bo0KGxaNGiWLVqVdxwww3xj3/8o8q+n6/vZ7y5c+dGUVHROr+ArKrv4dX959RvVWQdCxcujGuuuSZ+9rOfbeXqKm5j67jjjjuiQYMG0aBBg3j++edj/PjxUVRUlKNKN2xDa7jwwgtjv/32i2OOOSaH1UHlqbq/oqLGGjRoUMyYMaNK/9Z9Yzp27BjTp0+PJUuWxOOPPx4DBgyIV199tdo0mP/+97/H+eefH+PHj69SOYBp/ec06R577BE9evSItm3bxmOPPVatpmxKS0ujW7ducf3110dExN577x0zZsyIsWPHxoABA3JcXXr33XdfHHHEEVUy93NTHnvssfj9738fjzzySOy2224xffr0uOCCC6J169bV6rV46KGH4qc//Wm0adMmCgsLY5999omTTz45pk6dmuvSqEFWr14dJ5xwQiRJEnfeeWeuy9kshxxySEyfPj0WLlwY99xzT5xwwgnxxhtvRIsWLXJdWoVMnTo1fv3rX8e0adOq3V+K/KeTTjqp7L+7dOkSe+yxR3To0CFeeeWVOPTQQ3NYWcWVlpZGRMQxxxwTF154YURE7LXXXjFp0qQYO3Zs9OrVK5flbZb7778/TjnllGr5veJvfvObeP311+OZZ56Jtm3bxl//+tcYNGhQtG7dutr8xV7t2rXjiSeeiDPPPDOaNWsWhYWF0bt37zjiiCOq7AcNV/ef8SJqxhoiNr2OpUuXxpFHHhmdO3eOkSNHbt3iUtjYOk455ZQ47LDDYs6cOXHzzTfHCSecEH/729+q3P+z1reGZ555Jl5++eV4++23c1gZVK4aPbncvHnzKCwsXOfTaOfNm+dPD3Jk8ODB8Ze//CUmTpwY22+/fa7L2SxFRUWx0047RdeuXWPUqFGx5557xq9//etcl1VhU6dOjfnz58c+++wTtWrVilq1asWrr74a//Vf/xW1atWqVpNC/6lJkyaxyy67xCeffJLrUlLZbrvt1vnFxK677lotIz6++OKLeOmll+Kss87KdSmb5Ze//GXZ9HKXLl3itNNOiwsvvLDaTfh36NAhXn311fjmm2/i73//e0yZMiVWr14dO+64Y65L2yzfvl97L686vm0sf/HFFzF+/PhqObUcEVG/fv3Yaaed4vvf/37cd999UatWrbjvvvtyXVaF/c///E/Mnz8/vve975W9n3/xxRdx0UUXRbt27XJd3mbbcccdo3nz5tXq/bx58+ZRq1atGvN+/j//8z/x0UcfVcv383/9618xbNiwGD16dBx11FGxxx57xODBg+PEE0+Mm2++OdflpdK1a9eYPn16LF68OObMmRPjxo2Lr7/++v9r725ConrbMIBf71/m6CTT/BsZm5nkDIqiUNBCkyLQQrAsFMVKKsIy2mRhSBNFiQQZbdQiWiTIQIQgBlPZoon8aFcSJbnR1ATxa9GHjKZUNPe7iCQzPY719oy+1w9mM87iujkH7/Pcc+Y5YdnP51vjORwOfP78GePj47M+H449fCWsUwHjOiYmJrBz505YLBb4fD6YTCYFKY0Z1WG1WpGUlISMjAzcuXMH3d3d8Pl8CpLOb74aWltb0d/fj3///XemfwNAYWEhtm3bpigt0e9Z0cNlTdOQmpqKlpaWmfeCwSBaWlqW5R65y5mI4MSJE/D5fGhtbUV8fLzqSH9MMBic2RdtOcjKykJXVxc6OztnXmlpaTh48CA6OzsRERGhOuKSTE5Oor+/H06nU3WUkGzduhU9PT2z3nv9+jXcbreiREvn9XoRGxuL3bt3q46yJFNTU/jnn9ltMSIiYuaOtOUmOjoaTqcTHz58gN/vX7Y/u4uPj4fD4ZjVywOBAJ49e8ZersD3wXJvby8eP36MmJgY1ZH+mOXWzw8dOoRXr17N6uculwsejwd+v191vCUbGhrCu3fvllU/1zQNmzZtWjH9vL6+HqmpqctuD3Lg2/+oL1++rKh+brVaYbfb0dvbi+fPn4dVPzda46WmpsJkMs3q4T09PRgcHAybHr5S1qmLqSMQCCA7OxuapuH+/fthd5cvsLTjISIQkbDp4UY1nD17dk7/BoDa2lp4vV4FiYl+34rfFqO8vBzFxcVIS0tDeno6rl69io8fP+LIkSOqoy3a5OTkrLs3BgYG0NnZCZvNBl3XFSZbvNLSUjQ0NODevXuwWCwze2xZrVaYzWbF6Rbv3LlzyMnJga7rmJiYQENDA9rb25fVIs5isczZsyo6OhoxMTHLam+x06dPIzc3F263GyMjI6isrERERAT279+vOlpIvu+3dfnyZezbtw8dHR2oq6tDXV2d6mghCQaD8Hq9KC4uDuuHgiwkNzcXVVVV0HUd69evx8uXL1FTU4OSkhLV0ULi9/shIkhOTkZfXx88Hg9SUlLCuu8Z9blTp07h0qVLSEpKQnx8PCoqKuByuZCfn68u9C8Y1fH+/XsMDg5iZGQEAGYGUQ6HI2zu4FqoBqfTiT179uDFixd48OABvn79OtPPbTZbWO11uFAdMTExqKqqQl5eHpxOJ96+fYsbN25geHgYe/fuVZh6LqNz6ufhvslkgsPhQHJy8t+OOq+FarDZbLh48SIKCwvhcDjQ39+PM2fOIDExETt27FCYei6jY+HxeFBUVISMjAxs374dDx8+RHNzM9rb29WF/sli1hSBQABNTU2orq5WFdOQUR2ZmZnweDwwm81wu9148uQJbt26hZqaGoWp5zKqo6mpCXa7Hbquo6urC2VlZcjPzw+rBxMarfGsViuOHj2K8vJy2Gw2rF69GidPnsSWLVuwefNmxem/Wcw6dWxsDGNjYzPHq6urCxaLBbquh82D/4zq+D5Ynpqawu3btxEIBBAIBAAAdrs9bG4wMqrjzZs3aGxsRHZ2Nux2O4aGhnDlyhWYzWbs2rVLcfpvjGqY77pP1/Vl++UGEeT/wPXr10XXddE0TdLT0+Xp06eqI4Wkra1NAMx5FRcXq462aL/KD0C8Xq/qaCEpKSkRt9stmqaJ3W6XrKwsefTokepYvy0zM1PKyspUxwhJUVGROJ1O0TRN1q1bJ0VFRdLX16c61pI0NzfLhg0bJDIyUlJSUqSurk51pJD5/X4BID09PaqjLFkgEJCysjLRdV2ioqIkISFBzp8/L58+fVIdLSSNjY2SkJAgmqaJw+GQ0tJSGR8fVx1rQUZ9LhgMSkVFhaxdu1YiIyMlKysrLM81ozq8Xu8v/15ZWak0948WqmFgYGDeft7W1qY6+iwL1TE9PS0FBQXicrlE0zRxOp2Sl5cnHR0dqmPPEeo1oNvtltra2r+a0chCNUxNTUl2drbY7XYxmUzidrvl2LFjMjY2pjr2HIs5FvX19ZKYmChRUVGyceNGuXv3rrrAv7CYGm7evClmszms+4ZRHaOjo3L48GFxuVwSFRUlycnJUl1dLcFgUG3wnxjVce3aNYmLixOTySS6rsuFCxfC7ppkMWu86elpOX78uKxZs0ZWrVolBQUFMjo6qi70TxZTQ2VlZdivZY3qmO98AyADAwNKs//IqI7h4WHJycmR2NhYMZlMEhcXJwcOHJDu7m61wX+wlNkHAPH5fH8tI9Gf9h+RMH0iABERERERERERERGFrRW95zIRERERERERERER/W9wuExEREREREREREREIeNwmYiIiIiIiIiIiIhCxuEyEREREREREREREYWMw2UiIiIiIiIiIiIiChmHy0REREREREREREQUMg6XiYiIiIiIiIiIiChkHC4TERERERERERERUcg4XCYiIiIiIiIiIiKikHG4TEREREREREREREQh43CZiIiIiIiIiIiIiELG4TIRERERERERERERhey/hJ8/4Smm1REAAAAASUVORK5CYII=", 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" ] @@ -1689,19 +16947,19 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 285, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 757/757 [00:00<00:00, 112867.94it/s]\n" + "100%|██████████| 757/757 [00:00<00:00, 117731.03it/s]\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -1721,14 +16979,14 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 286, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 95/95 [00:00<00:00, 3023.44it/s]\n" + "100%|██████████| 95/95 [00:00<00:00, 3243.09it/s]\n" ] }, { @@ -1750,19 +17008,19 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 287, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 95/95 [00:00<00:00, 22171.09it/s]\n" + "100%|██████████| 95/95 [00:00<00:00, 29150.55it/s]\n" ] }, { "data": { - "image/png": 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99NMa2zp27Bhdu3aNioqKiIjo3bt3bLnllnHFFVfEZ599ttI5FixYUK/XtKJWrVrFwoULa2wrLS2N733ve3HvvffGSy+9VJBau+++e/Ts2TOuvvrqleotf786duwY++67b9xwww0xd+7c1dZd8f1s3bp1bLXVVtXvV11uvPHGGjEp119/fSxbtmylLO3aDBkyJKZOnRqPP/74SvsWLlwYy5Yti4iIgw46KJYtWxbXX3999f7Kysr49a9/XWeNwYMHR0lJSVx44YUrZWl//fNV2/zVpk+fPtGxY8eYOHFijffo0UcfjVdffTUOPvjgOs+xohXnoKSkpHpFe33nAQAAVsXKZQCgwd16663x2GOPrbT91FNPjUMOOSTuu++++O53vxsHH3xwzJ49OyZOnBi9evWqtUFbm/Hjx8ef//zn+OY3vxk//elPo7KyMq655prYcccdY+bMmdXHbbnllnHxxRfHmDFj4p133onBgwfHhhtuGLNnz477778/TjzxxDjjjDNqrbF48eLYdNNN4/vf/37ssssu0bp163jyySfjn//8Z1x55ZUR8d/G3c033xwHHnhg7LDDDjF8+PDo1q1bzJkzJ6ZMmRJt2rSJP/7xj8nvX+/evePJJ5+Mq666Krp27Ro9e/aMfv36xc9//vOYMmVK9OvXL0444YTo1atXfPzxxzFjxox48skn4+OPP06qU1JSEtdff30ceuihseuuu8bw4cOjS5cu8dprr8XLL79c3ai99tpr41vf+lbstNNOccIJJ8QWW2wR8+fPj6lTp8b7778fL7zwQkRE9OrVK/bdd9/o3bt3tG/fPqZPnx733HNPjBw5sl7jWbp0aQwYMCCGDBkSr7/+elx33XXxrW99Kw477LA6n3vmmWfGQw89FIccckgce+yx0bt37/j888/jxRdfjHvuuSfeeeed6NChQxx66KHxzW9+M0aPHh3vvPNO9OrVK+67776V/kNCbbbaaqs499xz46KLLoq99torDj/88CgvL49//vOf0bVr15gwYUJE/Hf+rr/++rj44otjq622io4dO660Mjniv6vBf/GLX8Tw4cNjn332iSOPPDLmz58fv/rVr6JHjx5x+umn1+t9+7rjjz8+Pv744/j2t78dm266abz77rvx61//OnbdddfYfvvtk88HAAA1ZAAADWTSpElZRKzy8e9//zurqqrKLr300qx79+5ZeXl5tttuu2V/+tOfsmHDhmXdu3evPtfs2bOziMguv/zyWmtNnjw522233bKysrJsyy23zG6++ebs//2//5e1aNFipWPvvffe7Fvf+lbWqlWrrFWrVtl2222XjRgxInv99ddX+VoqKiqyM888M9tll12yDTfcMGvVqlW2yy67ZNddd91Kxz7//PPZ4Ycfnm288cZZeXl51r1792zIkCHZ5MmTq48ZN25cFhHZggULan3PZs+eXb3ttddey/bee++sZcuWWURkw4YNq943f/78bMSIEdlmm22WNW/ePOvcuXM2YMCA7MYbb6w+ZsqUKVlEZHfffXeNWsvf00mTJtXY/vTTT2f77bdf9evceeeds1//+tc1jnnrrbeyoUOHZp07d86aN2+edevWLTvkkEOye+65p/qYiy++OOvbt2/Wrl27rGXLltl2222XXXLJJdnSpUtX+T5//T3461//mp144onZRhttlLVu3To76qijso8++qjGsd27d88OPvjgWs+zePHibMyYMdlWW22VlZWVZR06dMj23HPP7Iorrqgxho8++ig75phjsjZt2mRt27bNjjnmmOz5559f6b1ZPmcruvXWW7PddtstKy8vzzbaaKNsn332yZ544onq/fPmzcsOPvjgbMMNN8wiIttnn32yLPu/eZkyZUqN8915553V52vfvn121FFHZe+//36NY4YNG5a1atVqpbGsOMZ77rkn23///bOOHTtmZWVl2eabb5795Cc/yebOnVvrewYAAClyWZbwF1wAAJqQwYMHx8svvxyzZs1a10MhwW233RbDhw+Pf/7zn9GnT591PRwAAGAVZC4DAOuFL7/8ssbPs2bNikceeST23XffdTMgAACA9ZzMZQBgvbDFFlvEscceG1tssUW8++67cf3110dZWVmcddZZ63poAAAA6yXNZQBgvXDAAQfEH/7wh5g3b16Ul5dH//7949JLL42tt956XQ8NAABgvSRzGQAAAACgCfvb3/4Wl19+eTz33HMxd+7cuP/++2Pw4MGrfc5TTz0Vo0aNipdffjk222yzOO+88+LYY49NqitzGQAAAACgCfv8889jl112iWuvvbZex8+ePTsOPvjg+J//+Z+YOXNmnHbaaXH88cfH448/nlTXymUAAAAAgPVELperc+Xy2WefHQ8//HC89NJL1dt++MMfxsKFC+Oxxx6rdy0rlwEAAAAAGpmKiopYtGhRjUdFRUVBzj116tQYOHBgjW2DBg2KqVOnJp2n0fxBv5a7jUw6vmz7fsk1li76NPk5G2++adLxJaXp/fryFmXJz3n/yT+lPWGjLsk1NuyR/geQFs+bm3R8Wbv2yTVabdgq+TmfTP9r2hOqKpNrNFo9d0s7fvbzDTOOPDXbZo/k5zQva578nC9feTbtCWvrs7Jx2r9F8dH7DTOOFZWUph3faqP0Gl8tSX/Oks/Sn7M2bNA27fgv0n9vJddY0zqNUOnWfZKfU/n+G2lPWPplco21YpPN05+zcH76czptkXb8nNfSayxbmv6cLmn3LL2/vXtyied+d2fyc1g/tNihf9LxS15O+0IGKVI/jxHpn8m1UWN9sssRP0h+zgt33t0AI1l//XjsiKTjb72wfpEAa9sn/7wm+Tkb7ZHWK4uI+PL59DrFLrUnuTad/Z0OccEFF9TYNm7cuBg/fnze5543b1506tSpxrZOnTrFokWL4ssvv4yWLVvW6zyNprkMAAAAAMB/jRkzJkaNGlVjW3l5+ToaTe00lwEAAAAAGpny8vIGayZ37tw55s+v+X8zzp8/P9q0aVPvVcsRmssAAAAAQLHKFeefpOvfv3888sgjNbY98cQT0b9/WjxScb57AAAAAADric8++yxmzpwZM2fOjIiI2bNnx8yZM+O9996LiP9GbAwdOrT6+JNOOinefvvtOOuss+K1116L6667Lu666644/fTTk+pqLgMAAAAANGHTp0+P3XbbLXbbbbeIiBg1alTstttuMXbs2IiImDt3bnWjOSKiZ8+e8fDDD8cTTzwRu+yyS1x55ZVx8803x6BBg5LqisUAAAAAAIpTLreuR1AQ++67b2RZtsr9t912W63Pef755/Oqa+UyAAAAAADJNJcBAAAAAEgmFgMAAAAAKE45a2/z4d0DAAAAACCZ5jIAAAAAAMnEYgAAAAAAxSmXW9cjaNKsXAYAAAAAIJnmMgAAAAAAycRiAAAAAADFKWftbT68ewAAAAAAJNNcBgAAAAAgmVgMAAAAAKA45XLregRNmpXLAAAAAAAk01wGAAAAACCZWAwAAAAAoDjlrL3Nh3cPAAAAAIBkmssAAAAAACQTiwEAAAAAFKdcbl2PoEmzchkAAAAAgGSaywAAAAAAJBOLAQAAAAAUp5y1t/nw7gEAAAAAkExzGQAAAACAZGIxAAAAAIDilMut6xE0aVYuAwAAAACQTHMZAAAAAIBkYjEAAAAAgOKUs/Y2H949AAAAAACSaS4DAAAAAJBMLAYAAAAAUJxyuXU9gibNymUAAAAAAJJpLgMAAAAAkEwsBgAAAABQnHLW3ubDuwcAAAAAQDLNZQAAAAAAkonFAAAAAACKk1iMvHj3AAAAAABIprkMAAAAAEAysRgAAAAAQHEqya3rETRpVi4DAAAAAJBMcxkAAAAAgGRiMQAAAACA4pSz9jYf3j0AAAAAAJJpLgMAAAAAkEwsBgAAAABQnHK5dT2CJs3KZQAAAAAAkmkuAwAAAACQTCwGAAAAAFCcctbe5sO7BwAAAABAMs1lAAAAAACSicUAAAAAAIpTLreuR9CkWbkMAAAAAEAyzWUAAAAAAJKJxQAAAAAAilPO2tt8ePcAAAAAAEimuQwAAAAAQDKxGAAAAABAccrl1vUImjQrlwEAAAAASKa5DAAAAABAMrEYAAAAAEBxyll7mw/vHgAAAAAAyTSXAQAAAABIJhYDAAAAAChOudy6HkGTZuUyAAAAAADJNJcBAAAAAEgmFgMAAAAAKE45a2/z4d0DAAAAACCZ5jIAAAAAAMnEYgAAAAAAxSmXW9cjaNKsXAYAAAAAIJnmMgAAAAAAycRiAAAAAADFKWftbT68ewAAAAAAJNNcBgAAAAAgmVgMAAAAAKA4icXIi3cPAAAAAIBkmssAAAAAACQTiwEAAAAAFKdcbl2PoEmzchkAAAAAgGSaywAAAAAAJNNcBgAAAAAgmcxlAAAAAKA45ay9zYd3DwAAAACAZJrLAAAAAAAkE4sBAAAAABSnXG5dj6BJs3IZAAAAAIBkmssAAAAAACQTiwEAAAAAFKectbf58O4BAAAAAJBMcxkAAAAAgGRiMQAAAACA4pTLresRNGlWLgMAAAAAkExzGQAAAACAZGIxAAAAAICilBOLkRcrlwEAAAAASKa5DAAAAABAMrEYAAAAAEBREouRHyuXAQAAAABIprkMAAAAAEAysRgAAAAAQHGSipEXK5cBAAAAAEimuQwAAAAAQDKxGAAAAABAUcrl5GLkw8plAAAAAACSaS4DAAAAAJBMLAYAAAAAUJTEYuTHymUAAAAAAJJpLgMAAAAAkEwsBgAAAABQlMRi5MfKZQAAAAAAkmkuAwAAAACQTCwGAAAAAFCUxGLkx8plAAAAAACSaS4DAAAAAJBMLAYAAAAAUJykYuTFymUAAAAAAJJpLgMAAAAAkCyvWIwPP/wwIiI6dOhQkMEAAAAAAKwtuZxcjHwkr1xeuHBhjBgxIjp06BCdOnWKTp06RYcOHWLkyJGxcOHCBhgiAAAAAACNTdLK5Y8//jj69+8fc+bMiaOOOiq23377iIh45ZVX4rbbbovJkyfHM888ExtttFGDDBYAAAAAgMYhqbl84YUXRllZWbz11lvRqVOnlfbtv//+ceGFF8Yvf/nLgg4SAAAAAKDQxGLkJykW44EHHogrrrhipcZyRETnzp3jsssui/vvv7/O81RUVMSiRYtqPLKqypShAAAAAACwDiU1l+fOnRs77LDDKvfvuOOOMW/evDrPM2HChGjbtm2Nx7L5z6UMBQAAAACAdSipudyhQ4d45513Vrl/9uzZ0b59+zrPM2bMmPj0009rPJp16p0yFAAAAACAvORyuUb7aAqSmsuDBg2Kc889N5YuXbrSvoqKijj//PPjgAMOqPM85eXl0aZNmxqPXElpylAAAAAAAFiHkv+gX58+fWLrrbeOESNGxHbbbRdZlsWrr74a1113XVRUVMTtt9/eUGMFAAAAAKCRSGoub7rppjF16tQ4+eSTY8yYMZFlWUT8d/n4fvvtF9dcc01sttlmDTJQAAAAAIBCairxE41VUnM5IqJnz57x6KOPxieffBKzZs2KiIitttqqXlnLAAAAAACsH5Kby8tttNFG0bdv30KOBQAAAACAJmKNm8sAAAAAAE2aVIy8lKzrAQAAAAAA0PRoLgMAAAAAkEwsBgAAAABQlHI5uRj5sHIZAAAAAIBkmssAAAAAACQTiwEAAAAAFCWxGPmxchkAAAAAgGSaywAAAAAAJBOLAQAAAAAUJbEY+bFyGQAAAACAZJrLAAAAAAAkE4sBAAAAABQnqRh5sXIZAAAAAIBkmssAAAAAAE3ctddeGz169IgWLVpEv379Ytq0aas9/uqrr45tt902WrZsGZtttlmcfvrpsWTJkqSaYjEAAAAAgKKUy60fuRh33nlnjBo1KiZOnBj9+vWLq6++OgYNGhSvv/56dOzYcaXjf//738fo0aPj1ltvjT333DPeeOONOPbYYyOXy8VVV11V77pWLgMAAAAANGFXXXVVnHDCCTF8+PDo1atXTJw4MTbYYIO49dZbaz3+mWeeiW9+85vxox/9KHr06BH7779/HHnkkXWudl6R5jIAAAAAQCNTUVERixYtqvGoqKhY6bilS5fGc889FwMHDqzeVlJSEgMHDoypU6fWeu4999wznnvuuepm8ttvvx2PPPJIHHTQQUlj1FwGAAAAAIpSLpdrtI8JEyZE27ZtazwmTJiw0mv48MMPo7KyMjp16lRje6dOnWLevHm1vu4f/ehHceGFF8a3vvWtaN68eWy55Zax7777xjnnnJP0/mkuAwAAAAA0MmPGjIlPP/20xmPMmDEFOfdTTz0Vl156aVx33XUxY8aMuO++++Lhhx+Oiy66KOk8/qAfAAAAAEAjU15eHuXl5XUe16FDhygtLY358+fX2D5//vzo3Llzrc85//zz45hjjonjjz8+IiJ22mmn+Pzzz+PEE0+Mc889N0pK6rcm2cplAAAAAKAorevoi9U96qusrCx69+4dkydPrt5WVVUVkydPjv79+9f6nC+++GKlBnJpaWlERGRZVu/aVi4DAAAAADRho0aNimHDhkWfPn2ib9++cfXVV8fnn38ew4cPj4iIoUOHRrdu3aozmw899NC46qqrYrfddot+/frFm2++Geeff34ceuih1U3m+tBcBgAAAABowo444ohYsGBBjB07NubNmxe77rprPPbYY9V/5O+9996rsVL5vPPOi1wuF+edd17MmTMnNtlkkzj00EPjkksuSaqruQwAAAAAFKWU+InGbuTIkTFy5Mha9z311FM1fm7WrFmMGzcuxo0bl1dNmcsAAAAAACTTXAYAAAAAIJlYDAAAAACgOK0/qRjrhJXLAAAAAAAk01wGAAAAACCZWAwAAAAAoCjlcnIx8mHlMgAAAAAAyTSXAQAAAABIJhYDAAAAAChKYjHyY+UyAAAAAADJNJcBAAAAAEgmFgMAAAAAKEpiMfJj5TIAAAAAAMk0lwEAAAAASCYWAwAAAAAoTlIx8mLlMgAAAAAAyTSXAQAAAABIJhYDAAAAAChKuZxcjHxYuQwAAAAAQDLNZQAAAAAAkonFAAAAAACKkliM/Fi5DAAAAABAMs1lAAAAAACSicUAAAAAAIqSWIz8WLkMAAAAAEAyzWUAAAAAAJKJxQAAAAAAipJYjPxYuQwAAAAAQDLNZQAAAAAAkonFAAAAAACKk1SMvFi5DAAAAABAMs1lAAAAAACSicUAAAAAAIpSLicXIx9WLgMAAAAAkExzGQAAAACAZGIxAAAAAICiJBYjP1YuAwAAAACQTHMZAAAAAIBkYjEAAAAAgKIkFSM/Vi4DAAAAAJBMcxkAAAAAgGRiMQAAAACAopSTi5EXK5cBAAAAAEimuQwAAAAAQDKxGAAAAABAUZKKkR8rlwEAAAAASKa5DAAAAABAMrEYAAAAAEBRysnFyIuVywAAAAAAJNNcBgAAAAAgmVgMAAAAAKAoScXIj5XLAAAAAAAk01wGAAAAACCZWAwAAAAAoCiVlMjFyIeVywAAAAAAJNNcBgAAAAAgmVgMAAAAAKAo5aRi5MXKZQAAAAAAkmkuAwAAAACQTCwGAAAAAFCUcnIx8mLlMgAAAAAAyTSXAQAAAABIJhYDAAAAAChKUjHyY+UyAAAAAADJNJcBAAAAAEgmFgMAAAAAKEo5uRh5sXIZAAAAAIBkmssAAAAAACQTiwEAAAAAFCWxGPmxchkAAAAAgGSaywAAAAAAJBOLAQAAAAAUJakY+bFyGQAAAACAZJrLAAAAAAAkE4sBAAAAABSlnFyMvFi5DAAAAABAMs1lAAAAAACSicUAAAAAAIqSVIz8WLkMAAAAAEAyzWUAAAAAAJKJxQAAAAAAilJOLkZerFwGAAAAACCZ5jIAAAAAAMnEYgAAAAAARUkqRn6sXAYAAAAAIJnmMgAAAAAAycRiAAAAAABFKScXIy9WLgMAAAAAkExzGQAAAACAZGIxAAAAAICiJBUjP1YuAwAAAACQTHMZAAAAAIBkYjEAAAAAgKKUk4uRFyuXAQAAAABIprkMAAAAAEAysRgAAAAAQFGSipGfXJZl2boeRETEkmVpx7/74RfJNTZq1Tz5Oam5K5+lvpCI+PizpcnP2WHTNsnPSTV34ZLk55Q1S1sMvyZzUuKqT5I6j13atWigkbA+qkr8FeL6pRhVVaXfapWUrB/XSuUavPbStfDa739xTvJzvrtTtwYYCQBQLDbaY2Tycz755zXJz2lhGWmyb/z8r+t6CKv0j9H7rOsh1EksBgAAAAAAyfz3DAAAAACgKKWmFlCTlcsAAAAAACTTXAYAAAAAIJlYDAAAAACgKEnFyI+VywAAAAAAJNNcBgAAAAAgmVgMAAAAAKAo5eRi5MXKZQAAAAAAkmkuAwAAAACQTCwGAAAAAFCUpGLkx8plAAAAAACSaS4DAAAAAJBMLAYAAAAAUJRycjHyYuUyAAAAAADJNJcBAAAAAEgmFgMAAAAAKEpiMfJj5TIAAAAAAMk0lwEAAAAASCYWAwAAAAAoSlIx8mPlMgAAAAAAyTSXAQAAAABIJhYDAAAAAChKObkYebFyGQAAAACAZJrLAAAAAAAkE4sBAAAAABQlqRj5sXIZAAAAAIBkmssAAAAAACQTiwEAAAAAFKWcXIy8WLkMAAAAAEAyzWUAAAAAAJKJxQAAAAAAipJUjPxYuQwAAAAAQDLNZQAAAAAAkonFAAAAAACKUolcjLxYuQwAAAAAQDLNZQAAAAAAkonFAAAAAACKklSM/Fi5DAAAAABAMs1lAAAAAACSicUAAAAAAIpSTi5GXqxcBgAAAAAgmeYyAAAAAADJxGIAAAAAAEWpRCpGXqxcBgAAAAAgmeYyAAAAAADJNJcBAAAAgKKUy+Ua7SPVtddeGz169IgWLVpEv379Ytq0aas9fuHChTFixIjo0qVLlJeXxzbbbBOPPPJIUk2ZywAAAAAATdidd94Zo0aNiokTJ0a/fv3i6quvjkGDBsXrr78eHTt2XOn4pUuXxn777RcdO3aMe+65J7p16xbvvvtutGvXLqmu5jIAAAAAQBN21VVXxQknnBDDhw+PiIiJEyfGww8/HLfeemuMHj16peNvvfXW+Pjjj+OZZ56J5s2bR0REjx49kuuKxQAAAAAAilIu13gfFRUVsWjRohqPioqKlV7D0qVL47nnnouBAwdWbyspKYmBAwfG1KlTa33dDz30UPTv3z9GjBgRnTp1ih133DEuvfTSqKysTHr/NJcBAAAAABqZCRMmRNu2bWs8JkyYsNJxH374YVRWVkanTp1qbO/UqVPMmzev1nO//fbbcc8990RlZWU88sgjcf7558eVV14ZF198cdIYxWIAAAAAADQyY8aMiVGjRtXYVl5eXpBzV1VVRceOHePGG2+M0tLS6N27d8yZMycuv/zyGDduXL3Po7kMAAAAABSlXOTW9RBWqby8vF7N5A4dOkRpaWnMnz+/xvb58+dH586da31Oly5donnz5lFaWlq9bfvtt4958+bF0qVLo6ysrF5jFIsBAAAAANBElZWVRe/evWPy5MnV26qqqmLy5MnRv3//Wp/zzW9+M958882oqqqq3vbGG29Ely5d6t1YjtBcBgAAAABo0kaNGhU33XRT/OY3v4lXX301fvrTn8bnn38ew4cPj4iIoUOHxpgxY6qP/+lPfxoff/xxnHrqqfHGG2/Eww8/HJdeemmMGDEiqa5YDAAAAACgKJU03lSMJEcccUQsWLAgxo4dG/PmzYtdd901Hnvsseo/8vfee+9FScn/rTPebLPN4vHHH4/TTz89dt555+jWrVuceuqpcfbZZyfV1VwGAAAAAGjiRo4cGSNHjqx131NPPbXStv79+8c//vGPvGqKxQAAAAAAIJmVywAAAABAUcrl1pNcjHXEymUAAAAAAJJpLgMAAAAAkEwsBgAAAABQlKRi5MfKZQAAAAAAkmkuAwAAAACQTCwGAAAAAFCUSuRi5MXKZQAAAAA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" ] @@ -1781,19 +17039,19 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 288, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "100%|██████████| 95/95 [00:00<00:00, 25462.26it/s]\n" + "100%|██████████| 95/95 [00:00<00:00, 27883.76it/s]\n" ] }, { "data": { - "image/png": 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" ] @@ -1813,7 +17071,7 @@ }, { "cell_type": "code", - "execution_count": 55, + "execution_count": 289, "metadata": {}, "outputs": [ { @@ -1832,36 +17090,36 @@ "name": "LSTM", "type": "box", "y": [ - 0.9510957598686218, - 0.9536213278770447, - 0.9547458291053772, - 0.9553282856941223, - 0.9541631937026978, - 0.9553608298301697, - 0.9522392153739929, - 0.9561025500297546, - 0.9562822580337524, - 0.9534673690795898, - 0.9566707611083984, - 0.9572548866271973, - 0.9536139369010925, - 0.9531607627868652, - 0.9541990160942078, - 0.9530026316642761, - 0.9559134840965271, - 0.953179657459259, - 0.9567181468009949, - 0.9536169171333313, - 0.9566499590873718, - 0.9501632452011108, - 0.9519867300987244, - 0.9592800140380859, - 0.9572415947914124, - 0.9545236825942993, - 0.9574411511421204, - 0.9540425539016724, - 0.9544942378997803, - 0.9552868604660034 + 0.9469351172447205, + 0.9464889764785767, + 0.9397405385971069, + 0.9440984725952148, + 0.9434906840324402, + 0.9442935585975647, + 0.9460118412971497, + 0.9438055753707886, + 0.9433724880218506, + 0.9453536868095398, + 0.9445471167564392, + 0.9429071545600891, + 0.9488546848297119, + 0.9466729164123535, + 0.9430928826332092, + 0.9440149068832397, + 0.9473151564598083, + 0.9429548382759094, + 0.9444136023521423, + 0.9441613554954529, + 0.9476276636123657, + 0.9420250058174133, + 0.9439191818237305, + 0.9451029300689697, + 0.9458432197570801, + 0.943034827709198, + 0.9515688419342041, + 0.9432573914527893, + 0.9428632855415344, + 0.9460811018943787 ] }, { @@ -1873,36 +17131,36 @@ "name": "BiLSTM", "type": "box", "y": [ - 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