Delete Stress Categorization Using BERT Transformer.ipynb
Browse files
Stress Categorization Using BERT Transformer.ipynb
DELETED
|
@@ -1,2164 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"cells": [
|
| 3 |
-
{
|
| 4 |
-
"cell_type": "code",
|
| 5 |
-
"execution_count": 1,
|
| 6 |
-
"metadata": {
|
| 7 |
-
"id": "TdrNem1HbCQD"
|
| 8 |
-
},
|
| 9 |
-
"outputs": [],
|
| 10 |
-
"source": [
|
| 11 |
-
"import numpy as np\n",
|
| 12 |
-
"import pandas as pd\n",
|
| 13 |
-
"from tensorflow.keras.preprocessing.text import Tokenizer\n",
|
| 14 |
-
"from tensorflow.keras.preprocessing.sequence import pad_sequences\n",
|
| 15 |
-
"from tensorflow.keras.models import Sequential\n",
|
| 16 |
-
"from tensorflow.keras.layers import Embedding, Flatten, Dense, LSTM, Dropout\n",
|
| 17 |
-
"from tensorflow.keras.utils import to_categorical\n",
|
| 18 |
-
"from sklearn.model_selection import train_test_split\n",
|
| 19 |
-
"from sklearn.preprocessing import LabelEncoder"
|
| 20 |
-
]
|
| 21 |
-
},
|
| 22 |
-
{
|
| 23 |
-
"cell_type": "code",
|
| 24 |
-
"execution_count": null,
|
| 25 |
-
"metadata": {
|
| 26 |
-
"colab": {
|
| 27 |
-
"base_uri": "https://localhost:8080/"
|
| 28 |
-
},
|
| 29 |
-
"id": "s64hY6QGbZgP",
|
| 30 |
-
"outputId": "3407cb60-0fdd-40d5-85cd-ab8cd2cfa4e1"
|
| 31 |
-
},
|
| 32 |
-
"outputs": [
|
| 33 |
-
{
|
| 34 |
-
"name": "stdout",
|
| 35 |
-
"output_type": "stream",
|
| 36 |
-
"text": [
|
| 37 |
-
"Collecting transformers\n",
|
| 38 |
-
" Downloading transformers-4.31.0-py3-none-any.whl (7.4 MB)\n",
|
| 39 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.4/7.4 MB\u001b[0m \u001b[31m28.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 40 |
-
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
|
| 41 |
-
"Collecting huggingface-hub<1.0,>=0.14.1 (from transformers)\n",
|
| 42 |
-
" Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
|
| 43 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 44 |
-
"\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.23.5)\n",
|
| 45 |
-
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
|
| 46 |
-
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
|
| 47 |
-
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
|
| 48 |
-
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
|
| 49 |
-
"Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
|
| 50 |
-
" Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
|
| 51 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m29.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 52 |
-
"\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
|
| 53 |
-
" Downloading safetensors-0.3.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
|
| 54 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m51.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 55 |
-
"\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n",
|
| 56 |
-
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (2023.6.0)\n",
|
| 57 |
-
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.14.1->transformers) (4.7.1)\n",
|
| 58 |
-
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.2.0)\n",
|
| 59 |
-
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
|
| 60 |
-
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.4)\n",
|
| 61 |
-
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)\n",
|
| 62 |
-
"Installing collected packages: tokenizers, safetensors, huggingface-hub, transformers\n",
|
| 63 |
-
"Successfully installed huggingface-hub-0.16.4 safetensors-0.3.2 tokenizers-0.13.3 transformers-4.31.0\n"
|
| 64 |
-
]
|
| 65 |
-
}
|
| 66 |
-
],
|
| 67 |
-
"source": [
|
| 68 |
-
"!pip install transformers"
|
| 69 |
-
]
|
| 70 |
-
},
|
| 71 |
-
{
|
| 72 |
-
"cell_type": "code",
|
| 73 |
-
"execution_count": null,
|
| 74 |
-
"metadata": {
|
| 75 |
-
"colab": {
|
| 76 |
-
"base_uri": "https://localhost:8080/",
|
| 77 |
-
"height": 241,
|
| 78 |
-
"referenced_widgets": [
|
| 79 |
-
"32a00fccb8f446359ea356e01b50be59",
|
| 80 |
-
"db850c05bccd4dc9af135a680bad809e",
|
| 81 |
-
"99fbbbb3a9dd4bce9f79e0fa3be04e17",
|
| 82 |
-
"4fab7cf2e4c54d4fbe96b8cefef8bd82",
|
| 83 |
-
"f0f7ae319b314e309c61a0b007637b01",
|
| 84 |
-
"a6d0f7a34c5d4d3386ded0334163f67f",
|
| 85 |
-
"32cb7af7887f4a8584a0069b345f9b72",
|
| 86 |
-
"3e89a9d94cbd418f810d288add0b86a5",
|
| 87 |
-
"97919643cb5049d6af4f561d5abefc8a",
|
| 88 |
-
"f51e8488f2544cb28b80f7bb8203a0f1",
|
| 89 |
-
"c9e1e3ddf9b44ae4b7ee048aa8640987"
|
| 90 |
-
]
|
| 91 |
-
},
|
| 92 |
-
"id": "q9IQ8LtfbEaY",
|
| 93 |
-
"outputId": "687198cd-5896-414d-fd5c-6f0b0dbd2a2c"
|
| 94 |
-
},
|
| 95 |
-
"outputs": [
|
| 96 |
-
{
|
| 97 |
-
"metadata": {
|
| 98 |
-
"tags": null
|
| 99 |
-
},
|
| 100 |
-
"name": "stderr",
|
| 101 |
-
"output_type": "stream",
|
| 102 |
-
"text": [
|
| 103 |
-
"Truncation was not explicitly activated but `max_length` is provided a specific value, please use `truncation=True` to explicitly truncate examples to max length. Defaulting to 'longest_first' truncation strategy. If you encode pairs of sequences (GLUE-style) with the tokenizer you can select this strategy more precisely by providing a specific strategy to `truncation`.\n",
|
| 104 |
-
"/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:2418: FutureWarning: The `pad_to_max_length` argument is deprecated and will be removed in a future version, use `padding=True` or `padding='longest'` to pad to the longest sequence in the batch, or use `padding='max_length'` to pad to a max length. In this case, you can give a specific length with `max_length` (e.g. `max_length=45`) or leave max_length to None to pad to the maximal input size of the model (e.g. 512 for Bert).\n",
|
| 105 |
-
" warnings.warn(\n"
|
| 106 |
-
]
|
| 107 |
-
},
|
| 108 |
-
{
|
| 109 |
-
"data": {
|
| 110 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 111 |
-
"model_id": "32a00fccb8f446359ea356e01b50be59",
|
| 112 |
-
"version_major": 2,
|
| 113 |
-
"version_minor": 0
|
| 114 |
-
},
|
| 115 |
-
"text/plain": [
|
| 116 |
-
"Downloading model.safetensors: 0%| | 0.00/440M [00:00<?, ?B/s]"
|
| 117 |
-
]
|
| 118 |
-
},
|
| 119 |
-
"metadata": {},
|
| 120 |
-
"output_type": "display_data"
|
| 121 |
-
},
|
| 122 |
-
{
|
| 123 |
-
"metadata": {
|
| 124 |
-
"tags": null
|
| 125 |
-
},
|
| 126 |
-
"name": "stderr",
|
| 127 |
-
"output_type": "stream",
|
| 128 |
-
"text": [
|
| 129 |
-
"All PyTorch model weights were used when initializing TFBertForSequenceClassification.\n",
|
| 130 |
-
"\n",
|
| 131 |
-
"Some weights or buffers of the TF 2.0 model TFBertForSequenceClassification were not initialized from the PyTorch model and are newly initialized: ['classifier.weight', 'classifier.bias']\n",
|
| 132 |
-
"You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
|
| 133 |
-
]
|
| 134 |
-
},
|
| 135 |
-
{
|
| 136 |
-
"metadata": {
|
| 137 |
-
"tags": null
|
| 138 |
-
},
|
| 139 |
-
"name": "stdout",
|
| 140 |
-
"output_type": "stream",
|
| 141 |
-
"text": [
|
| 142 |
-
" 48/Unknown - 1493s 30s/step - loss: 1.2474 - accuracy: 0.3886"
|
| 143 |
-
]
|
| 144 |
-
}
|
| 145 |
-
],
|
| 146 |
-
"source": [
|
| 147 |
-
"import pandas as pd\n",
|
| 148 |
-
"import re\n",
|
| 149 |
-
"from sklearn.model_selection import train_test_split\n",
|
| 150 |
-
"from transformers import BertTokenizer, TFBertForSequenceClassification\n",
|
| 151 |
-
"from transformers import InputExample, InputFeatures\n",
|
| 152 |
-
"import tensorflow as tf\n",
|
| 153 |
-
"\n",
|
| 154 |
-
"# 1. Load and inspect the data\n",
|
| 155 |
-
"data = pd.read_excel('stress_data.xlsx')\n",
|
| 156 |
-
"\n",
|
| 157 |
-
"# 2. Clean and preprocess the data\n",
|
| 158 |
-
"def clean_text(text):\n",
|
| 159 |
-
" text = text.lower()\n",
|
| 160 |
-
" text = re.sub(r'http\\S+|www\\S+|https\\S+', '', text, flags=re.MULTILINE)\n",
|
| 161 |
-
" text = re.sub(r'\\d+|\\W+', ' ', text)\n",
|
| 162 |
-
" return text\n",
|
| 163 |
-
"\n",
|
| 164 |
-
"data['Cleaned_Posts'] = data['Posts'].apply(clean_text)\n",
|
| 165 |
-
"\n",
|
| 166 |
-
"# Convert string labels to integer indices\n",
|
| 167 |
-
"label_encoder = LabelEncoder()\n",
|
| 168 |
-
"\n",
|
| 169 |
-
"data['LabelIndices'] = label_encoder.fit_transform(data['Labels'])\n",
|
| 170 |
-
"\n",
|
| 171 |
-
"# 3. Tokenize data using BERT's tokenizer\n",
|
| 172 |
-
"tokenizer = BertTokenizer.from_pretrained(\"bert-base-uncased\", do_lower_case=True)\n",
|
| 173 |
-
"\n",
|
| 174 |
-
"# Split the data into train and test\n",
|
| 175 |
-
"train, test = train_test_split(data, test_size=0.2, random_state=42)\n",
|
| 176 |
-
"\n",
|
| 177 |
-
"# Convert data to InputExample format\n",
|
| 178 |
-
"def convert_data_to_input_example(data):\n",
|
| 179 |
-
" return data.apply(lambda x: InputExample(guid=None, text_a=x['Cleaned_Posts'], text_b=None, label=x['LabelIndices']), axis=1)\n",
|
| 180 |
-
"\n",
|
| 181 |
-
"train_InputExamples = convert_data_to_input_example(train)\n",
|
| 182 |
-
"test_InputExamples = convert_data_to_input_example(test)\n",
|
| 183 |
-
"\n",
|
| 184 |
-
"# Convert to features for BERT input\n",
|
| 185 |
-
"def convert_input_example_to_feature(example):\n",
|
| 186 |
-
" return tokenizer.encode_plus(example.text_a, add_special_tokens=True, max_length=128, pad_to_max_length=True, return_attention_mask=True, return_token_type_ids=False)\n",
|
| 187 |
-
"\n",
|
| 188 |
-
"train_features = train_InputExamples.apply(convert_input_example_to_feature)\n",
|
| 189 |
-
"test_features = test_InputExamples.apply(convert_input_example_to_feature)\n",
|
| 190 |
-
"\n",
|
| 191 |
-
"# Convert features to tensorflow dataset\n",
|
| 192 |
-
"def convert_features_to_tf_dataset(features, labels):\n",
|
| 193 |
-
" def gen():\n",
|
| 194 |
-
" for f, l in zip(features, labels):\n",
|
| 195 |
-
" yield ({'input_ids': f['input_ids'], 'attention_mask': f['attention_mask']}, l)\n",
|
| 196 |
-
" return tf.data.Dataset.from_generator(gen, ({'input_ids': tf.int32, 'attention_mask': tf.int32}, tf.int64), ({'input_ids': tf.TensorShape([None]), 'attention_mask': tf.TensorShape([None])}, tf.TensorShape([])))\n",
|
| 197 |
-
"\n",
|
| 198 |
-
"train_dataset = convert_features_to_tf_dataset(train_features, train['LabelIndices']).shuffle(100).batch(32).repeat(2)\n",
|
| 199 |
-
"test_dataset = convert_features_to_tf_dataset(test_features, test['LabelIndices']).batch(32)\n",
|
| 200 |
-
"\n",
|
| 201 |
-
"# 4. Fine-tune BERT on the dataset\n",
|
| 202 |
-
"model_new = TFBertForSequenceClassification.from_pretrained(\"bert-base-uncased\", num_labels=len(data['Labels'].unique()))\n",
|
| 203 |
-
"model_new.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=3e-5, epsilon=1e-08, clipnorm=1.0), loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True), metrics=[tf.keras.metrics.SparseCategoricalAccuracy('accuracy')])\n",
|
| 204 |
-
"model_new.fit(train_dataset, epochs=1, validation_data=test_dataset)\n",
|
| 205 |
-
"\n",
|
| 206 |
-
"# 5. Evaluate the model\n",
|
| 207 |
-
"loss, accuracy = model_new.evaluate(test_dataset)\n",
|
| 208 |
-
"print(f\"Test accuracy: {accuracy}\")"
|
| 209 |
-
]
|
| 210 |
-
},
|
| 211 |
-
{
|
| 212 |
-
"cell_type": "code",
|
| 213 |
-
"source": [
|
| 214 |
-
"\n",
|
| 215 |
-
"model_new.save_pretrained(\"./saved_model/\")\n",
|
| 216 |
-
"\n",
|
| 217 |
-
"!zip -r saved_model.zip ./saved_model/\n",
|
| 218 |
-
"\n",
|
| 219 |
-
"from google.colab import drive\n",
|
| 220 |
-
"drive.mount('/content/drive')"
|
| 221 |
-
],
|
| 222 |
-
"metadata": {
|
| 223 |
-
"id": "eJ-539Cvm2qr"
|
| 224 |
-
},
|
| 225 |
-
"execution_count": null,
|
| 226 |
-
"outputs": []
|
| 227 |
-
},
|
| 228 |
-
{
|
| 229 |
-
"cell_type": "code",
|
| 230 |
-
"source": [],
|
| 231 |
-
"metadata": {
|
| 232 |
-
"id": "EoY_YzaYmHjC"
|
| 233 |
-
},
|
| 234 |
-
"execution_count": null,
|
| 235 |
-
"outputs": []
|
| 236 |
-
},
|
| 237 |
-
{
|
| 238 |
-
"cell_type": "markdown",
|
| 239 |
-
"source": [],
|
| 240 |
-
"metadata": {
|
| 241 |
-
"id": "nF9CTCGxmH1m"
|
| 242 |
-
}
|
| 243 |
-
},
|
| 244 |
-
{
|
| 245 |
-
"cell_type": "code",
|
| 246 |
-
"source": [],
|
| 247 |
-
"metadata": {
|
| 248 |
-
"id": "B-JSmVxEmICh"
|
| 249 |
-
},
|
| 250 |
-
"execution_count": null,
|
| 251 |
-
"outputs": []
|
| 252 |
-
},
|
| 253 |
-
{
|
| 254 |
-
"cell_type": "markdown",
|
| 255 |
-
"source": [
|
| 256 |
-
"# New Section"
|
| 257 |
-
],
|
| 258 |
-
"metadata": {
|
| 259 |
-
"id": "Cl_clsbfmI2u"
|
| 260 |
-
}
|
| 261 |
-
},
|
| 262 |
-
{
|
| 263 |
-
"cell_type": "code",
|
| 264 |
-
"source": [],
|
| 265 |
-
"metadata": {
|
| 266 |
-
"id": "nYgWKFBdmEPR"
|
| 267 |
-
},
|
| 268 |
-
"execution_count": null,
|
| 269 |
-
"outputs": []
|
| 270 |
-
},
|
| 271 |
-
{
|
| 272 |
-
"cell_type": "code",
|
| 273 |
-
"source": [
|
| 274 |
-
"pip install transformers"
|
| 275 |
-
],
|
| 276 |
-
"metadata": {
|
| 277 |
-
"id": "9khb6mJwmE3F",
|
| 278 |
-
"colab": {
|
| 279 |
-
"base_uri": "https://localhost:8080/"
|
| 280 |
-
},
|
| 281 |
-
"outputId": "51a737a0-197f-491f-a815-4bc410350376"
|
| 282 |
-
},
|
| 283 |
-
"execution_count": 3,
|
| 284 |
-
"outputs": [
|
| 285 |
-
{
|
| 286 |
-
"output_type": "stream",
|
| 287 |
-
"name": "stdout",
|
| 288 |
-
"text": [
|
| 289 |
-
"Collecting transformers\n",
|
| 290 |
-
" Downloading transformers-4.32.0-py3-none-any.whl (7.5 MB)\n",
|
| 291 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.5/7.5 MB\u001b[0m \u001b[31m72.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 292 |
-
"\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers) (3.12.2)\n",
|
| 293 |
-
"Collecting huggingface-hub<1.0,>=0.15.1 (from transformers)\n",
|
| 294 |
-
" Downloading huggingface_hub-0.16.4-py3-none-any.whl (268 kB)\n",
|
| 295 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m268.8/268.8 kB\u001b[0m \u001b[31m35.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 296 |
-
"\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (1.23.5)\n",
|
| 297 |
-
"Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers) (23.1)\n",
|
| 298 |
-
"Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers) (6.0.1)\n",
|
| 299 |
-
"Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers) (2023.6.3)\n",
|
| 300 |
-
"Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers) (2.31.0)\n",
|
| 301 |
-
"Collecting tokenizers!=0.11.3,<0.14,>=0.11.1 (from transformers)\n",
|
| 302 |
-
" Downloading tokenizers-0.13.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.8 MB)\n",
|
| 303 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.8/7.8 MB\u001b[0m \u001b[31m79.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 304 |
-
"\u001b[?25hCollecting safetensors>=0.3.1 (from transformers)\n",
|
| 305 |
-
" Downloading safetensors-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
|
| 306 |
-
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m86.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
|
| 307 |
-
"\u001b[?25hRequirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers) (4.66.1)\n",
|
| 308 |
-
"Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers) (2023.6.0)\n",
|
| 309 |
-
"Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.15.1->transformers) (4.7.1)\n",
|
| 310 |
-
"Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.2.0)\n",
|
| 311 |
-
"Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.4)\n",
|
| 312 |
-
"Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.4)\n",
|
| 313 |
-
"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.7.22)\n",
|
| 314 |
-
"Installing collected packages: tokenizers, safetensors, huggingface-hub, transformers\n",
|
| 315 |
-
"Successfully installed huggingface-hub-0.16.4 safetensors-0.3.3 tokenizers-0.13.3 transformers-4.32.0\n"
|
| 316 |
-
]
|
| 317 |
-
}
|
| 318 |
-
]
|
| 319 |
-
},
|
| 320 |
-
{
|
| 321 |
-
"cell_type": "code",
|
| 322 |
-
"execution_count": 6,
|
| 323 |
-
"metadata": {
|
| 324 |
-
"colab": {
|
| 325 |
-
"base_uri": "https://localhost:8080/",
|
| 326 |
-
"height": 197,
|
| 327 |
-
"referenced_widgets": [
|
| 328 |
-
"b233a84faeeb4e6db05b54853a712306",
|
| 329 |
-
"edf4bc0025474420b8b509f50c633dac",
|
| 330 |
-
"33557d21210142bab4604b1a25d13c1f",
|
| 331 |
-
"569657898c0a41f6807149b75056fe30",
|
| 332 |
-
"d756b7b7e64746df8910c893fd669997",
|
| 333 |
-
"2d8c70e1541c45968aac54e660e42290",
|
| 334 |
-
"b11378b2e3f94ffc955357df9a1e79a6",
|
| 335 |
-
"d3cd5ae5c44e4fc291161543e590d5f2",
|
| 336 |
-
"78d0469b165645388939e9de25a485d1",
|
| 337 |
-
"505fa60eaf34444fb5bbf15cfb26eea0",
|
| 338 |
-
"616d49bd01034f3ba3475c3fb5678c8c",
|
| 339 |
-
"47380f5fb7a84117a5111b793112ccb7",
|
| 340 |
-
"dac124b1a57547fca17d82f6d0c657a1",
|
| 341 |
-
"d7dba2f6840f4fcc8f40c19dc00728aa",
|
| 342 |
-
"911a8f4abac94139bff29856dd388d66",
|
| 343 |
-
"f5d8a137a5464cc8b65234113ccb3035",
|
| 344 |
-
"ae330ca3db674b19b221dc6b959a849c",
|
| 345 |
-
"f119e54274584cce9994da81e3088f31",
|
| 346 |
-
"162bbf7db0f04757b32f12342ea1b469",
|
| 347 |
-
"438c3def082e4ee4b22e213a85263e95",
|
| 348 |
-
"566ff1a7d087482d8dff86e81c408cf8",
|
| 349 |
-
"7bec7296065e48739e67e498beb93a61",
|
| 350 |
-
"aea1a283ac1b41e2b62c1f09f6afff45",
|
| 351 |
-
"b67848e7c426480a82381325e9676fc2",
|
| 352 |
-
"1d46459ac8a44bc3bde70d24b9d029bf",
|
| 353 |
-
"ba9b581e9a1d4b10ac37fb82aba866d0",
|
| 354 |
-
"ee226c57f8e2475ca6810721a522a223",
|
| 355 |
-
"53496d66f57a4805837340d07216cea4",
|
| 356 |
-
"5c77f423a23b44ed9c9187a5991ffd45",
|
| 357 |
-
"e6b65d341d464d00a02ca4f4558f5eca",
|
| 358 |
-
"dad71950568b48ea86698584d1a3c8aa",
|
| 359 |
-
"7c7adbd1a76446c0aba2f535e2c1fabd",
|
| 360 |
-
"69fae47244e542f886a1e487a3126aef"
|
| 361 |
-
]
|
| 362 |
-
},
|
| 363 |
-
"id": "64dIHCvibh3a",
|
| 364 |
-
"outputId": "28d3915d-306b-4009-825c-9ea66866e6ec"
|
| 365 |
-
},
|
| 366 |
-
"outputs": [
|
| 367 |
-
{
|
| 368 |
-
"output_type": "display_data",
|
| 369 |
-
"data": {
|
| 370 |
-
"text/plain": [
|
| 371 |
-
"Downloading (…)solve/main/vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s]"
|
| 372 |
-
],
|
| 373 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 374 |
-
"version_major": 2,
|
| 375 |
-
"version_minor": 0,
|
| 376 |
-
"model_id": "b233a84faeeb4e6db05b54853a712306"
|
| 377 |
-
}
|
| 378 |
-
},
|
| 379 |
-
"metadata": {}
|
| 380 |
-
},
|
| 381 |
-
{
|
| 382 |
-
"output_type": "display_data",
|
| 383 |
-
"data": {
|
| 384 |
-
"text/plain": [
|
| 385 |
-
"Downloading (…)okenizer_config.json: 0%| | 0.00/28.0 [00:00<?, ?B/s]"
|
| 386 |
-
],
|
| 387 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 388 |
-
"version_major": 2,
|
| 389 |
-
"version_minor": 0,
|
| 390 |
-
"model_id": "47380f5fb7a84117a5111b793112ccb7"
|
| 391 |
-
}
|
| 392 |
-
},
|
| 393 |
-
"metadata": {}
|
| 394 |
-
},
|
| 395 |
-
{
|
| 396 |
-
"output_type": "display_data",
|
| 397 |
-
"data": {
|
| 398 |
-
"text/plain": [
|
| 399 |
-
"Downloading (…)lve/main/config.json: 0%| | 0.00/570 [00:00<?, ?B/s]"
|
| 400 |
-
],
|
| 401 |
-
"application/vnd.jupyter.widget-view+json": {
|
| 402 |
-
"version_major": 2,
|
| 403 |
-
"version_minor": 0,
|
| 404 |
-
"model_id": "aea1a283ac1b41e2b62c1f09f6afff45"
|
| 405 |
-
}
|
| 406 |
-
},
|
| 407 |
-
"metadata": {}
|
| 408 |
-
}
|
| 409 |
-
],
|
| 410 |
-
"source": [
|
| 411 |
-
"import pandas as pd\n",
|
| 412 |
-
"import re\n",
|
| 413 |
-
"from sklearn.model_selection import train_test_split\n",
|
| 414 |
-
"from transformers import BertTokenizer, TFBertForSequenceClassification\n",
|
| 415 |
-
"from transformers import InputExample, InputFeatures\n",
|
| 416 |
-
"import tensorflow as tf\n",
|
| 417 |
-
"\n",
|
| 418 |
-
"# 1. Load and inspect the data\n",
|
| 419 |
-
"data = pd.read_excel('stress_data.xlsx')\n",
|
| 420 |
-
"\n",
|
| 421 |
-
"# 2. Clean and preprocess the data\n",
|
| 422 |
-
"def clean_text(text):\n",
|
| 423 |
-
" text = text.lower()\n",
|
| 424 |
-
" text = re.sub(r'http\\S+|www\\S+|https\\S+', '', text, flags=re.MULTILINE)\n",
|
| 425 |
-
" text = re.sub(r'\\d+|\\W+', ' ', text)\n",
|
| 426 |
-
" return text\n",
|
| 427 |
-
"\n",
|
| 428 |
-
"data['Cleaned_Posts'] = data['Posts'].apply(clean_text)\n",
|
| 429 |
-
"\n",
|
| 430 |
-
"# Convert string labels to integer indices\n",
|
| 431 |
-
"label_encoder = LabelEncoder()\n",
|
| 432 |
-
"\n",
|
| 433 |
-
"data['LabelIndices'] = label_encoder.fit_transform(data['Labels'])\n",
|
| 434 |
-
"\n",
|
| 435 |
-
"# 3. Tokenize data using BERT's tokenizer\n",
|
| 436 |
-
"tokenizer = BertTokenizer.from_pretrained(\"bert-base-uncased\", do_lower_case=True)\n"
|
| 437 |
-
]
|
| 438 |
-
},
|
| 439 |
-
{
|
| 440 |
-
"cell_type": "code",
|
| 441 |
-
"source": [
|
| 442 |
-
"tokenizer"
|
| 443 |
-
],
|
| 444 |
-
"metadata": {
|
| 445 |
-
"colab": {
|
| 446 |
-
"base_uri": "https://localhost:8080/"
|
| 447 |
-
},
|
| 448 |
-
"id": "lh_iyQJIhLHi",
|
| 449 |
-
"outputId": "effbbea1-4738-4dd6-89d0-b028e35deb69"
|
| 450 |
-
},
|
| 451 |
-
"execution_count": 7,
|
| 452 |
-
"outputs": [
|
| 453 |
-
{
|
| 454 |
-
"output_type": "execute_result",
|
| 455 |
-
"data": {
|
| 456 |
-
"text/plain": [
|
| 457 |
-
"BertTokenizer(name_or_path='bert-base-uncased', vocab_size=30522, model_max_length=512, is_fast=False, padding_side='right', truncation_side='right', special_tokens={'unk_token': '[UNK]', 'sep_token': '[SEP]', 'pad_token': '[PAD]', 'cls_token': '[CLS]', 'mask_token': '[MASK]'}, clean_up_tokenization_spaces=True)"
|
| 458 |
-
]
|
| 459 |
-
},
|
| 460 |
-
"metadata": {},
|
| 461 |
-
"execution_count": 7
|
| 462 |
-
}
|
| 463 |
-
]
|
| 464 |
-
},
|
| 465 |
-
{
|
| 466 |
-
"cell_type": "code",
|
| 467 |
-
"execution_count": 8,
|
| 468 |
-
"metadata": {
|
| 469 |
-
"id": "Rs3J2e_fS16I",
|
| 470 |
-
"colab": {
|
| 471 |
-
"base_uri": "https://localhost:8080/",
|
| 472 |
-
"height": 597
|
| 473 |
-
},
|
| 474 |
-
"outputId": "e07d3e9e-a6de-4acb-a20f-538d33d6e370"
|
| 475 |
-
},
|
| 476 |
-
"outputs": [
|
| 477 |
-
{
|
| 478 |
-
"output_type": "execute_result",
|
| 479 |
-
"data": {
|
| 480 |
-
"text/plain": [
|
| 481 |
-
" Posts Labels \\\n",
|
| 482 |
-
"0 I quit my job of 3 years due to my stress and ... Work Stress \n",
|
| 483 |
-
"1 I hate my Job and have a sick note due to stre... Work Stress \n",
|
| 484 |
-
"2 For those who resigned this (recession) year d... Work Stress \n",
|
| 485 |
-
"3 Anyone always sort of stressed due to this job... Work Stress \n",
|
| 486 |
-
"4 Wife has been unemployed for 3 months after sh... Work Stress \n",
|
| 487 |
-
"... ... ... \n",
|
| 488 |
-
"1817 Bullard Discusses Financial Stress, Rate Incre... Financial Stress \n",
|
| 489 |
-
"1818 USA Financial Stress v. Equities Financial Stress \n",
|
| 490 |
-
"1819 Why short term financial stresses could actual... Financial Stress \n",
|
| 491 |
-
"1820 Please help! UK undergraduate students needed ... Financial Stress \n",
|
| 492 |
-
"1821 Danielle DiMartino Booth, CEO of Quill Intelli... Financial Stress \n",
|
| 493 |
-
"\n",
|
| 494 |
-
" Cleaned_Posts LabelIndices \n",
|
| 495 |
-
"0 i quit my job of years due to my stress and ... 3 \n",
|
| 496 |
-
"1 i hate my job and have a sick note due to stre... 3 \n",
|
| 497 |
-
"2 for those who resigned this recession year due... 3 \n",
|
| 498 |
-
"3 anyone always sort of stressed due to this job... 3 \n",
|
| 499 |
-
"4 wife has been unemployed for months after sh... 3 \n",
|
| 500 |
-
"... ... ... \n",
|
| 501 |
-
"1817 bullard discusses financial stress rate increa... 0 \n",
|
| 502 |
-
"1818 usa financial stress v equities 0 \n",
|
| 503 |
-
"1819 why short term financial stresses could actual... 0 \n",
|
| 504 |
-
"1820 please help uk undergraduate students needed f... 0 \n",
|
| 505 |
-
"1821 danielle dimartino booth ceo of quill intellig... 0 \n",
|
| 506 |
-
"\n",
|
| 507 |
-
"[1822 rows x 4 columns]"
|
| 508 |
-
],
|
| 509 |
-
"text/html": [
|
| 510 |
-
"\n",
|
| 511 |
-
" <div id=\"df-88e42b60-8aee-4c88-9fa0-0ad9f4820cf8\" class=\"colab-df-container\">\n",
|
| 512 |
-
" <div>\n",
|
| 513 |
-
"<style scoped>\n",
|
| 514 |
-
" .dataframe tbody tr th:only-of-type {\n",
|
| 515 |
-
" vertical-align: middle;\n",
|
| 516 |
-
" }\n",
|
| 517 |
-
"\n",
|
| 518 |
-
" .dataframe tbody tr th {\n",
|
| 519 |
-
" vertical-align: top;\n",
|
| 520 |
-
" }\n",
|
| 521 |
-
"\n",
|
| 522 |
-
" .dataframe thead th {\n",
|
| 523 |
-
" text-align: right;\n",
|
| 524 |
-
" }\n",
|
| 525 |
-
"</style>\n",
|
| 526 |
-
"<table border=\"1\" class=\"dataframe\">\n",
|
| 527 |
-
" <thead>\n",
|
| 528 |
-
" <tr style=\"text-align: right;\">\n",
|
| 529 |
-
" <th></th>\n",
|
| 530 |
-
" <th>Posts</th>\n",
|
| 531 |
-
" <th>Labels</th>\n",
|
| 532 |
-
" <th>Cleaned_Posts</th>\n",
|
| 533 |
-
" <th>LabelIndices</th>\n",
|
| 534 |
-
" </tr>\n",
|
| 535 |
-
" </thead>\n",
|
| 536 |
-
" <tbody>\n",
|
| 537 |
-
" <tr>\n",
|
| 538 |
-
" <th>0</th>\n",
|
| 539 |
-
" <td>I quit my job of 3 years due to my stress and ...</td>\n",
|
| 540 |
-
" <td>Work Stress</td>\n",
|
| 541 |
-
" <td>i quit my job of years due to my stress and ...</td>\n",
|
| 542 |
-
" <td>3</td>\n",
|
| 543 |
-
" </tr>\n",
|
| 544 |
-
" <tr>\n",
|
| 545 |
-
" <th>1</th>\n",
|
| 546 |
-
" <td>I hate my Job and have a sick note due to stre...</td>\n",
|
| 547 |
-
" <td>Work Stress</td>\n",
|
| 548 |
-
" <td>i hate my job and have a sick note due to stre...</td>\n",
|
| 549 |
-
" <td>3</td>\n",
|
| 550 |
-
" </tr>\n",
|
| 551 |
-
" <tr>\n",
|
| 552 |
-
" <th>2</th>\n",
|
| 553 |
-
" <td>For those who resigned this (recession) year d...</td>\n",
|
| 554 |
-
" <td>Work Stress</td>\n",
|
| 555 |
-
" <td>for those who resigned this recession year due...</td>\n",
|
| 556 |
-
" <td>3</td>\n",
|
| 557 |
-
" </tr>\n",
|
| 558 |
-
" <tr>\n",
|
| 559 |
-
" <th>3</th>\n",
|
| 560 |
-
" <td>Anyone always sort of stressed due to this job...</td>\n",
|
| 561 |
-
" <td>Work Stress</td>\n",
|
| 562 |
-
" <td>anyone always sort of stressed due to this job...</td>\n",
|
| 563 |
-
" <td>3</td>\n",
|
| 564 |
-
" </tr>\n",
|
| 565 |
-
" <tr>\n",
|
| 566 |
-
" <th>4</th>\n",
|
| 567 |
-
" <td>Wife has been unemployed for 3 months after sh...</td>\n",
|
| 568 |
-
" <td>Work Stress</td>\n",
|
| 569 |
-
" <td>wife has been unemployed for months after sh...</td>\n",
|
| 570 |
-
" <td>3</td>\n",
|
| 571 |
-
" </tr>\n",
|
| 572 |
-
" <tr>\n",
|
| 573 |
-
" <th>...</th>\n",
|
| 574 |
-
" <td>...</td>\n",
|
| 575 |
-
" <td>...</td>\n",
|
| 576 |
-
" <td>...</td>\n",
|
| 577 |
-
" <td>...</td>\n",
|
| 578 |
-
" </tr>\n",
|
| 579 |
-
" <tr>\n",
|
| 580 |
-
" <th>1817</th>\n",
|
| 581 |
-
" <td>Bullard Discusses Financial Stress, Rate Incre...</td>\n",
|
| 582 |
-
" <td>Financial Stress</td>\n",
|
| 583 |
-
" <td>bullard discusses financial stress rate increa...</td>\n",
|
| 584 |
-
" <td>0</td>\n",
|
| 585 |
-
" </tr>\n",
|
| 586 |
-
" <tr>\n",
|
| 587 |
-
" <th>1818</th>\n",
|
| 588 |
-
" <td>USA Financial Stress v. Equities</td>\n",
|
| 589 |
-
" <td>Financial Stress</td>\n",
|
| 590 |
-
" <td>usa financial stress v equities</td>\n",
|
| 591 |
-
" <td>0</td>\n",
|
| 592 |
-
" </tr>\n",
|
| 593 |
-
" <tr>\n",
|
| 594 |
-
" <th>1819</th>\n",
|
| 595 |
-
" <td>Why short term financial stresses could actual...</td>\n",
|
| 596 |
-
" <td>Financial Stress</td>\n",
|
| 597 |
-
" <td>why short term financial stresses could actual...</td>\n",
|
| 598 |
-
" <td>0</td>\n",
|
| 599 |
-
" </tr>\n",
|
| 600 |
-
" <tr>\n",
|
| 601 |
-
" <th>1820</th>\n",
|
| 602 |
-
" <td>Please help! UK undergraduate students needed ...</td>\n",
|
| 603 |
-
" <td>Financial Stress</td>\n",
|
| 604 |
-
" <td>please help uk undergraduate students needed f...</td>\n",
|
| 605 |
-
" <td>0</td>\n",
|
| 606 |
-
" </tr>\n",
|
| 607 |
-
" <tr>\n",
|
| 608 |
-
" <th>1821</th>\n",
|
| 609 |
-
" <td>Danielle DiMartino Booth, CEO of Quill Intelli...</td>\n",
|
| 610 |
-
" <td>Financial Stress</td>\n",
|
| 611 |
-
" <td>danielle dimartino booth ceo of quill intellig...</td>\n",
|
| 612 |
-
" <td>0</td>\n",
|
| 613 |
-
" </tr>\n",
|
| 614 |
-
" </tbody>\n",
|
| 615 |
-
"</table>\n",
|
| 616 |
-
"<p>1822 rows × 4 columns</p>\n",
|
| 617 |
-
"</div>\n",
|
| 618 |
-
" <div class=\"colab-df-buttons\">\n",
|
| 619 |
-
"\n",
|
| 620 |
-
" <div class=\"colab-df-container\">\n",
|
| 621 |
-
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-88e42b60-8aee-4c88-9fa0-0ad9f4820cf8')\"\n",
|
| 622 |
-
" title=\"Convert this dataframe to an interactive table.\"\n",
|
| 623 |
-
" style=\"display:none;\">\n",
|
| 624 |
-
"\n",
|
| 625 |
-
" <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
|
| 626 |
-
" <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
|
| 627 |
-
" </svg>\n",
|
| 628 |
-
" </button>\n",
|
| 629 |
-
"\n",
|
| 630 |
-
" <style>\n",
|
| 631 |
-
" .colab-df-container {\n",
|
| 632 |
-
" display:flex;\n",
|
| 633 |
-
" gap: 12px;\n",
|
| 634 |
-
" }\n",
|
| 635 |
-
"\n",
|
| 636 |
-
" .colab-df-convert {\n",
|
| 637 |
-
" background-color: #E8F0FE;\n",
|
| 638 |
-
" border: none;\n",
|
| 639 |
-
" border-radius: 50%;\n",
|
| 640 |
-
" cursor: pointer;\n",
|
| 641 |
-
" display: none;\n",
|
| 642 |
-
" fill: #1967D2;\n",
|
| 643 |
-
" height: 32px;\n",
|
| 644 |
-
" padding: 0 0 0 0;\n",
|
| 645 |
-
" width: 32px;\n",
|
| 646 |
-
" }\n",
|
| 647 |
-
"\n",
|
| 648 |
-
" .colab-df-convert:hover {\n",
|
| 649 |
-
" background-color: #E2EBFA;\n",
|
| 650 |
-
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 651 |
-
" fill: #174EA6;\n",
|
| 652 |
-
" }\n",
|
| 653 |
-
"\n",
|
| 654 |
-
" .colab-df-buttons div {\n",
|
| 655 |
-
" margin-bottom: 4px;\n",
|
| 656 |
-
" }\n",
|
| 657 |
-
"\n",
|
| 658 |
-
" [theme=dark] .colab-df-convert {\n",
|
| 659 |
-
" background-color: #3B4455;\n",
|
| 660 |
-
" fill: #D2E3FC;\n",
|
| 661 |
-
" }\n",
|
| 662 |
-
"\n",
|
| 663 |
-
" [theme=dark] .colab-df-convert:hover {\n",
|
| 664 |
-
" background-color: #434B5C;\n",
|
| 665 |
-
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
| 666 |
-
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
| 667 |
-
" fill: #FFFFFF;\n",
|
| 668 |
-
" }\n",
|
| 669 |
-
" </style>\n",
|
| 670 |
-
"\n",
|
| 671 |
-
" <script>\n",
|
| 672 |
-
" const buttonEl =\n",
|
| 673 |
-
" document.querySelector('#df-88e42b60-8aee-4c88-9fa0-0ad9f4820cf8 button.colab-df-convert');\n",
|
| 674 |
-
" buttonEl.style.display =\n",
|
| 675 |
-
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 676 |
-
"\n",
|
| 677 |
-
" async function convertToInteractive(key) {\n",
|
| 678 |
-
" const element = document.querySelector('#df-88e42b60-8aee-4c88-9fa0-0ad9f4820cf8');\n",
|
| 679 |
-
" const dataTable =\n",
|
| 680 |
-
" await google.colab.kernel.invokeFunction('convertToInteractive',\n",
|
| 681 |
-
" [key], {});\n",
|
| 682 |
-
" if (!dataTable) return;\n",
|
| 683 |
-
"\n",
|
| 684 |
-
" const docLinkHtml = 'Like what you see? Visit the ' +\n",
|
| 685 |
-
" '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
|
| 686 |
-
" + ' to learn more about interactive tables.';\n",
|
| 687 |
-
" element.innerHTML = '';\n",
|
| 688 |
-
" dataTable['output_type'] = 'display_data';\n",
|
| 689 |
-
" await google.colab.output.renderOutput(dataTable, element);\n",
|
| 690 |
-
" const docLink = document.createElement('div');\n",
|
| 691 |
-
" docLink.innerHTML = docLinkHtml;\n",
|
| 692 |
-
" element.appendChild(docLink);\n",
|
| 693 |
-
" }\n",
|
| 694 |
-
" </script>\n",
|
| 695 |
-
" </div>\n",
|
| 696 |
-
"\n",
|
| 697 |
-
"\n",
|
| 698 |
-
"<div id=\"df-7a1ef45f-d10e-455e-9b16-01d8033d4331\">\n",
|
| 699 |
-
" <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7a1ef45f-d10e-455e-9b16-01d8033d4331')\"\n",
|
| 700 |
-
" title=\"Suggest charts.\"\n",
|
| 701 |
-
" style=\"display:none;\">\n",
|
| 702 |
-
"\n",
|
| 703 |
-
"<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
|
| 704 |
-
" width=\"24px\">\n",
|
| 705 |
-
" <g>\n",
|
| 706 |
-
" <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
|
| 707 |
-
" </g>\n",
|
| 708 |
-
"</svg>\n",
|
| 709 |
-
" </button>\n",
|
| 710 |
-
"\n",
|
| 711 |
-
"<style>\n",
|
| 712 |
-
" .colab-df-quickchart {\n",
|
| 713 |
-
" background-color: #E8F0FE;\n",
|
| 714 |
-
" border: none;\n",
|
| 715 |
-
" border-radius: 50%;\n",
|
| 716 |
-
" cursor: pointer;\n",
|
| 717 |
-
" display: none;\n",
|
| 718 |
-
" fill: #1967D2;\n",
|
| 719 |
-
" height: 32px;\n",
|
| 720 |
-
" padding: 0 0 0 0;\n",
|
| 721 |
-
" width: 32px;\n",
|
| 722 |
-
" }\n",
|
| 723 |
-
"\n",
|
| 724 |
-
" .colab-df-quickchart:hover {\n",
|
| 725 |
-
" background-color: #E2EBFA;\n",
|
| 726 |
-
" box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
|
| 727 |
-
" fill: #174EA6;\n",
|
| 728 |
-
" }\n",
|
| 729 |
-
"\n",
|
| 730 |
-
" [theme=dark] .colab-df-quickchart {\n",
|
| 731 |
-
" background-color: #3B4455;\n",
|
| 732 |
-
" fill: #D2E3FC;\n",
|
| 733 |
-
" }\n",
|
| 734 |
-
"\n",
|
| 735 |
-
" [theme=dark] .colab-df-quickchart:hover {\n",
|
| 736 |
-
" background-color: #434B5C;\n",
|
| 737 |
-
" box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
|
| 738 |
-
" filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
|
| 739 |
-
" fill: #FFFFFF;\n",
|
| 740 |
-
" }\n",
|
| 741 |
-
"</style>\n",
|
| 742 |
-
"\n",
|
| 743 |
-
" <script>\n",
|
| 744 |
-
" async function quickchart(key) {\n",
|
| 745 |
-
" const charts = await google.colab.kernel.invokeFunction(\n",
|
| 746 |
-
" 'suggestCharts', [key], {});\n",
|
| 747 |
-
" }\n",
|
| 748 |
-
" (() => {\n",
|
| 749 |
-
" let quickchartButtonEl =\n",
|
| 750 |
-
" document.querySelector('#df-7a1ef45f-d10e-455e-9b16-01d8033d4331 button');\n",
|
| 751 |
-
" quickchartButtonEl.style.display =\n",
|
| 752 |
-
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
|
| 753 |
-
" })();\n",
|
| 754 |
-
" </script>\n",
|
| 755 |
-
"</div>\n",
|
| 756 |
-
" </div>\n",
|
| 757 |
-
" </div>\n"
|
| 758 |
-
]
|
| 759 |
-
},
|
| 760 |
-
"metadata": {},
|
| 761 |
-
"execution_count": 8
|
| 762 |
-
}
|
| 763 |
-
],
|
| 764 |
-
"source": [
|
| 765 |
-
"data"
|
| 766 |
-
]
|
| 767 |
-
},
|
| 768 |
-
{
|
| 769 |
-
"cell_type": "code",
|
| 770 |
-
"source": [],
|
| 771 |
-
"metadata": {
|
| 772 |
-
"id": "wxVfqH-slZWd"
|
| 773 |
-
},
|
| 774 |
-
"execution_count": null,
|
| 775 |
-
"outputs": []
|
| 776 |
-
}
|
| 777 |
-
],
|
| 778 |
-
"metadata": {
|
| 779 |
-
"colab": {
|
| 780 |
-
"provenance": []
|
| 781 |
-
},
|
| 782 |
-
"kernelspec": {
|
| 783 |
-
"display_name": "Python 3",
|
| 784 |
-
"name": "python3"
|
| 785 |
-
},
|
| 786 |
-
"language_info": {
|
| 787 |
-
"name": "python"
|
| 788 |
-
},
|
| 789 |
-
"widgets": {
|
| 790 |
-
"application/vnd.jupyter.widget-state+json": {
|
| 791 |
-
"32a00fccb8f446359ea356e01b50be59": {
|
| 792 |
-
"model_module": "@jupyter-widgets/controls",
|
| 793 |
-
"model_name": "HBoxModel",
|
| 794 |
-
"model_module_version": "1.5.0",
|
| 795 |
-
"state": {
|
| 796 |
-
"_dom_classes": [],
|
| 797 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 798 |
-
"_model_module_version": "1.5.0",
|
| 799 |
-
"_model_name": "HBoxModel",
|
| 800 |
-
"_view_count": null,
|
| 801 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 802 |
-
"_view_module_version": "1.5.0",
|
| 803 |
-
"_view_name": "HBoxView",
|
| 804 |
-
"box_style": "",
|
| 805 |
-
"children": [
|
| 806 |
-
"IPY_MODEL_db850c05bccd4dc9af135a680bad809e",
|
| 807 |
-
"IPY_MODEL_99fbbbb3a9dd4bce9f79e0fa3be04e17",
|
| 808 |
-
"IPY_MODEL_4fab7cf2e4c54d4fbe96b8cefef8bd82"
|
| 809 |
-
],
|
| 810 |
-
"layout": "IPY_MODEL_f0f7ae319b314e309c61a0b007637b01"
|
| 811 |
-
}
|
| 812 |
-
},
|
| 813 |
-
"db850c05bccd4dc9af135a680bad809e": {
|
| 814 |
-
"model_module": "@jupyter-widgets/controls",
|
| 815 |
-
"model_name": "HTMLModel",
|
| 816 |
-
"model_module_version": "1.5.0",
|
| 817 |
-
"state": {
|
| 818 |
-
"_dom_classes": [],
|
| 819 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 820 |
-
"_model_module_version": "1.5.0",
|
| 821 |
-
"_model_name": "HTMLModel",
|
| 822 |
-
"_view_count": null,
|
| 823 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 824 |
-
"_view_module_version": "1.5.0",
|
| 825 |
-
"_view_name": "HTMLView",
|
| 826 |
-
"description": "",
|
| 827 |
-
"description_tooltip": null,
|
| 828 |
-
"layout": "IPY_MODEL_a6d0f7a34c5d4d3386ded0334163f67f",
|
| 829 |
-
"placeholder": "",
|
| 830 |
-
"style": "IPY_MODEL_32cb7af7887f4a8584a0069b345f9b72",
|
| 831 |
-
"value": "Downloading model.safetensors: 100%"
|
| 832 |
-
}
|
| 833 |
-
},
|
| 834 |
-
"99fbbbb3a9dd4bce9f79e0fa3be04e17": {
|
| 835 |
-
"model_module": "@jupyter-widgets/controls",
|
| 836 |
-
"model_name": "FloatProgressModel",
|
| 837 |
-
"model_module_version": "1.5.0",
|
| 838 |
-
"state": {
|
| 839 |
-
"_dom_classes": [],
|
| 840 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 841 |
-
"_model_module_version": "1.5.0",
|
| 842 |
-
"_model_name": "FloatProgressModel",
|
| 843 |
-
"_view_count": null,
|
| 844 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 845 |
-
"_view_module_version": "1.5.0",
|
| 846 |
-
"_view_name": "ProgressView",
|
| 847 |
-
"bar_style": "success",
|
| 848 |
-
"description": "",
|
| 849 |
-
"description_tooltip": null,
|
| 850 |
-
"layout": "IPY_MODEL_3e89a9d94cbd418f810d288add0b86a5",
|
| 851 |
-
"max": 440449768,
|
| 852 |
-
"min": 0,
|
| 853 |
-
"orientation": "horizontal",
|
| 854 |
-
"style": "IPY_MODEL_97919643cb5049d6af4f561d5abefc8a",
|
| 855 |
-
"value": 440449768
|
| 856 |
-
}
|
| 857 |
-
},
|
| 858 |
-
"4fab7cf2e4c54d4fbe96b8cefef8bd82": {
|
| 859 |
-
"model_module": "@jupyter-widgets/controls",
|
| 860 |
-
"model_name": "HTMLModel",
|
| 861 |
-
"model_module_version": "1.5.0",
|
| 862 |
-
"state": {
|
| 863 |
-
"_dom_classes": [],
|
| 864 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 865 |
-
"_model_module_version": "1.5.0",
|
| 866 |
-
"_model_name": "HTMLModel",
|
| 867 |
-
"_view_count": null,
|
| 868 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 869 |
-
"_view_module_version": "1.5.0",
|
| 870 |
-
"_view_name": "HTMLView",
|
| 871 |
-
"description": "",
|
| 872 |
-
"description_tooltip": null,
|
| 873 |
-
"layout": "IPY_MODEL_f51e8488f2544cb28b80f7bb8203a0f1",
|
| 874 |
-
"placeholder": "",
|
| 875 |
-
"style": "IPY_MODEL_c9e1e3ddf9b44ae4b7ee048aa8640987",
|
| 876 |
-
"value": " 440M/440M [00:04<00:00, 113MB/s]"
|
| 877 |
-
}
|
| 878 |
-
},
|
| 879 |
-
"f0f7ae319b314e309c61a0b007637b01": {
|
| 880 |
-
"model_module": "@jupyter-widgets/base",
|
| 881 |
-
"model_name": "LayoutModel",
|
| 882 |
-
"model_module_version": "1.2.0",
|
| 883 |
-
"state": {
|
| 884 |
-
"_model_module": "@jupyter-widgets/base",
|
| 885 |
-
"_model_module_version": "1.2.0",
|
| 886 |
-
"_model_name": "LayoutModel",
|
| 887 |
-
"_view_count": null,
|
| 888 |
-
"_view_module": "@jupyter-widgets/base",
|
| 889 |
-
"_view_module_version": "1.2.0",
|
| 890 |
-
"_view_name": "LayoutView",
|
| 891 |
-
"align_content": null,
|
| 892 |
-
"align_items": null,
|
| 893 |
-
"align_self": null,
|
| 894 |
-
"border": null,
|
| 895 |
-
"bottom": null,
|
| 896 |
-
"display": null,
|
| 897 |
-
"flex": null,
|
| 898 |
-
"flex_flow": null,
|
| 899 |
-
"grid_area": null,
|
| 900 |
-
"grid_auto_columns": null,
|
| 901 |
-
"grid_auto_flow": null,
|
| 902 |
-
"grid_auto_rows": null,
|
| 903 |
-
"grid_column": null,
|
| 904 |
-
"grid_gap": null,
|
| 905 |
-
"grid_row": null,
|
| 906 |
-
"grid_template_areas": null,
|
| 907 |
-
"grid_template_columns": null,
|
| 908 |
-
"grid_template_rows": null,
|
| 909 |
-
"height": null,
|
| 910 |
-
"justify_content": null,
|
| 911 |
-
"justify_items": null,
|
| 912 |
-
"left": null,
|
| 913 |
-
"margin": null,
|
| 914 |
-
"max_height": null,
|
| 915 |
-
"max_width": null,
|
| 916 |
-
"min_height": null,
|
| 917 |
-
"min_width": null,
|
| 918 |
-
"object_fit": null,
|
| 919 |
-
"object_position": null,
|
| 920 |
-
"order": null,
|
| 921 |
-
"overflow": null,
|
| 922 |
-
"overflow_x": null,
|
| 923 |
-
"overflow_y": null,
|
| 924 |
-
"padding": null,
|
| 925 |
-
"right": null,
|
| 926 |
-
"top": null,
|
| 927 |
-
"visibility": null,
|
| 928 |
-
"width": null
|
| 929 |
-
}
|
| 930 |
-
},
|
| 931 |
-
"a6d0f7a34c5d4d3386ded0334163f67f": {
|
| 932 |
-
"model_module": "@jupyter-widgets/base",
|
| 933 |
-
"model_name": "LayoutModel",
|
| 934 |
-
"model_module_version": "1.2.0",
|
| 935 |
-
"state": {
|
| 936 |
-
"_model_module": "@jupyter-widgets/base",
|
| 937 |
-
"_model_module_version": "1.2.0",
|
| 938 |
-
"_model_name": "LayoutModel",
|
| 939 |
-
"_view_count": null,
|
| 940 |
-
"_view_module": "@jupyter-widgets/base",
|
| 941 |
-
"_view_module_version": "1.2.0",
|
| 942 |
-
"_view_name": "LayoutView",
|
| 943 |
-
"align_content": null,
|
| 944 |
-
"align_items": null,
|
| 945 |
-
"align_self": null,
|
| 946 |
-
"border": null,
|
| 947 |
-
"bottom": null,
|
| 948 |
-
"display": null,
|
| 949 |
-
"flex": null,
|
| 950 |
-
"flex_flow": null,
|
| 951 |
-
"grid_area": null,
|
| 952 |
-
"grid_auto_columns": null,
|
| 953 |
-
"grid_auto_flow": null,
|
| 954 |
-
"grid_auto_rows": null,
|
| 955 |
-
"grid_column": null,
|
| 956 |
-
"grid_gap": null,
|
| 957 |
-
"grid_row": null,
|
| 958 |
-
"grid_template_areas": null,
|
| 959 |
-
"grid_template_columns": null,
|
| 960 |
-
"grid_template_rows": null,
|
| 961 |
-
"height": null,
|
| 962 |
-
"justify_content": null,
|
| 963 |
-
"justify_items": null,
|
| 964 |
-
"left": null,
|
| 965 |
-
"margin": null,
|
| 966 |
-
"max_height": null,
|
| 967 |
-
"max_width": null,
|
| 968 |
-
"min_height": null,
|
| 969 |
-
"min_width": null,
|
| 970 |
-
"object_fit": null,
|
| 971 |
-
"object_position": null,
|
| 972 |
-
"order": null,
|
| 973 |
-
"overflow": null,
|
| 974 |
-
"overflow_x": null,
|
| 975 |
-
"overflow_y": null,
|
| 976 |
-
"padding": null,
|
| 977 |
-
"right": null,
|
| 978 |
-
"top": null,
|
| 979 |
-
"visibility": null,
|
| 980 |
-
"width": null
|
| 981 |
-
}
|
| 982 |
-
},
|
| 983 |
-
"32cb7af7887f4a8584a0069b345f9b72": {
|
| 984 |
-
"model_module": "@jupyter-widgets/controls",
|
| 985 |
-
"model_name": "DescriptionStyleModel",
|
| 986 |
-
"model_module_version": "1.5.0",
|
| 987 |
-
"state": {
|
| 988 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 989 |
-
"_model_module_version": "1.5.0",
|
| 990 |
-
"_model_name": "DescriptionStyleModel",
|
| 991 |
-
"_view_count": null,
|
| 992 |
-
"_view_module": "@jupyter-widgets/base",
|
| 993 |
-
"_view_module_version": "1.2.0",
|
| 994 |
-
"_view_name": "StyleView",
|
| 995 |
-
"description_width": ""
|
| 996 |
-
}
|
| 997 |
-
},
|
| 998 |
-
"3e89a9d94cbd418f810d288add0b86a5": {
|
| 999 |
-
"model_module": "@jupyter-widgets/base",
|
| 1000 |
-
"model_name": "LayoutModel",
|
| 1001 |
-
"model_module_version": "1.2.0",
|
| 1002 |
-
"state": {
|
| 1003 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1004 |
-
"_model_module_version": "1.2.0",
|
| 1005 |
-
"_model_name": "LayoutModel",
|
| 1006 |
-
"_view_count": null,
|
| 1007 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1008 |
-
"_view_module_version": "1.2.0",
|
| 1009 |
-
"_view_name": "LayoutView",
|
| 1010 |
-
"align_content": null,
|
| 1011 |
-
"align_items": null,
|
| 1012 |
-
"align_self": null,
|
| 1013 |
-
"border": null,
|
| 1014 |
-
"bottom": null,
|
| 1015 |
-
"display": null,
|
| 1016 |
-
"flex": null,
|
| 1017 |
-
"flex_flow": null,
|
| 1018 |
-
"grid_area": null,
|
| 1019 |
-
"grid_auto_columns": null,
|
| 1020 |
-
"grid_auto_flow": null,
|
| 1021 |
-
"grid_auto_rows": null,
|
| 1022 |
-
"grid_column": null,
|
| 1023 |
-
"grid_gap": null,
|
| 1024 |
-
"grid_row": null,
|
| 1025 |
-
"grid_template_areas": null,
|
| 1026 |
-
"grid_template_columns": null,
|
| 1027 |
-
"grid_template_rows": null,
|
| 1028 |
-
"height": null,
|
| 1029 |
-
"justify_content": null,
|
| 1030 |
-
"justify_items": null,
|
| 1031 |
-
"left": null,
|
| 1032 |
-
"margin": null,
|
| 1033 |
-
"max_height": null,
|
| 1034 |
-
"max_width": null,
|
| 1035 |
-
"min_height": null,
|
| 1036 |
-
"min_width": null,
|
| 1037 |
-
"object_fit": null,
|
| 1038 |
-
"object_position": null,
|
| 1039 |
-
"order": null,
|
| 1040 |
-
"overflow": null,
|
| 1041 |
-
"overflow_x": null,
|
| 1042 |
-
"overflow_y": null,
|
| 1043 |
-
"padding": null,
|
| 1044 |
-
"right": null,
|
| 1045 |
-
"top": null,
|
| 1046 |
-
"visibility": null,
|
| 1047 |
-
"width": null
|
| 1048 |
-
}
|
| 1049 |
-
},
|
| 1050 |
-
"97919643cb5049d6af4f561d5abefc8a": {
|
| 1051 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1052 |
-
"model_name": "ProgressStyleModel",
|
| 1053 |
-
"model_module_version": "1.5.0",
|
| 1054 |
-
"state": {
|
| 1055 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1056 |
-
"_model_module_version": "1.5.0",
|
| 1057 |
-
"_model_name": "ProgressStyleModel",
|
| 1058 |
-
"_view_count": null,
|
| 1059 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1060 |
-
"_view_module_version": "1.2.0",
|
| 1061 |
-
"_view_name": "StyleView",
|
| 1062 |
-
"bar_color": null,
|
| 1063 |
-
"description_width": ""
|
| 1064 |
-
}
|
| 1065 |
-
},
|
| 1066 |
-
"f51e8488f2544cb28b80f7bb8203a0f1": {
|
| 1067 |
-
"model_module": "@jupyter-widgets/base",
|
| 1068 |
-
"model_name": "LayoutModel",
|
| 1069 |
-
"model_module_version": "1.2.0",
|
| 1070 |
-
"state": {
|
| 1071 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1072 |
-
"_model_module_version": "1.2.0",
|
| 1073 |
-
"_model_name": "LayoutModel",
|
| 1074 |
-
"_view_count": null,
|
| 1075 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1076 |
-
"_view_module_version": "1.2.0",
|
| 1077 |
-
"_view_name": "LayoutView",
|
| 1078 |
-
"align_content": null,
|
| 1079 |
-
"align_items": null,
|
| 1080 |
-
"align_self": null,
|
| 1081 |
-
"border": null,
|
| 1082 |
-
"bottom": null,
|
| 1083 |
-
"display": null,
|
| 1084 |
-
"flex": null,
|
| 1085 |
-
"flex_flow": null,
|
| 1086 |
-
"grid_area": null,
|
| 1087 |
-
"grid_auto_columns": null,
|
| 1088 |
-
"grid_auto_flow": null,
|
| 1089 |
-
"grid_auto_rows": null,
|
| 1090 |
-
"grid_column": null,
|
| 1091 |
-
"grid_gap": null,
|
| 1092 |
-
"grid_row": null,
|
| 1093 |
-
"grid_template_areas": null,
|
| 1094 |
-
"grid_template_columns": null,
|
| 1095 |
-
"grid_template_rows": null,
|
| 1096 |
-
"height": null,
|
| 1097 |
-
"justify_content": null,
|
| 1098 |
-
"justify_items": null,
|
| 1099 |
-
"left": null,
|
| 1100 |
-
"margin": null,
|
| 1101 |
-
"max_height": null,
|
| 1102 |
-
"max_width": null,
|
| 1103 |
-
"min_height": null,
|
| 1104 |
-
"min_width": null,
|
| 1105 |
-
"object_fit": null,
|
| 1106 |
-
"object_position": null,
|
| 1107 |
-
"order": null,
|
| 1108 |
-
"overflow": null,
|
| 1109 |
-
"overflow_x": null,
|
| 1110 |
-
"overflow_y": null,
|
| 1111 |
-
"padding": null,
|
| 1112 |
-
"right": null,
|
| 1113 |
-
"top": null,
|
| 1114 |
-
"visibility": null,
|
| 1115 |
-
"width": null
|
| 1116 |
-
}
|
| 1117 |
-
},
|
| 1118 |
-
"c9e1e3ddf9b44ae4b7ee048aa8640987": {
|
| 1119 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1120 |
-
"model_name": "DescriptionStyleModel",
|
| 1121 |
-
"model_module_version": "1.5.0",
|
| 1122 |
-
"state": {
|
| 1123 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1124 |
-
"_model_module_version": "1.5.0",
|
| 1125 |
-
"_model_name": "DescriptionStyleModel",
|
| 1126 |
-
"_view_count": null,
|
| 1127 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1128 |
-
"_view_module_version": "1.2.0",
|
| 1129 |
-
"_view_name": "StyleView",
|
| 1130 |
-
"description_width": ""
|
| 1131 |
-
}
|
| 1132 |
-
},
|
| 1133 |
-
"b233a84faeeb4e6db05b54853a712306": {
|
| 1134 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1135 |
-
"model_name": "HBoxModel",
|
| 1136 |
-
"model_module_version": "1.5.0",
|
| 1137 |
-
"state": {
|
| 1138 |
-
"_dom_classes": [],
|
| 1139 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1140 |
-
"_model_module_version": "1.5.0",
|
| 1141 |
-
"_model_name": "HBoxModel",
|
| 1142 |
-
"_view_count": null,
|
| 1143 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1144 |
-
"_view_module_version": "1.5.0",
|
| 1145 |
-
"_view_name": "HBoxView",
|
| 1146 |
-
"box_style": "",
|
| 1147 |
-
"children": [
|
| 1148 |
-
"IPY_MODEL_edf4bc0025474420b8b509f50c633dac",
|
| 1149 |
-
"IPY_MODEL_33557d21210142bab4604b1a25d13c1f",
|
| 1150 |
-
"IPY_MODEL_569657898c0a41f6807149b75056fe30"
|
| 1151 |
-
],
|
| 1152 |
-
"layout": "IPY_MODEL_d756b7b7e64746df8910c893fd669997"
|
| 1153 |
-
}
|
| 1154 |
-
},
|
| 1155 |
-
"edf4bc0025474420b8b509f50c633dac": {
|
| 1156 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1157 |
-
"model_name": "HTMLModel",
|
| 1158 |
-
"model_module_version": "1.5.0",
|
| 1159 |
-
"state": {
|
| 1160 |
-
"_dom_classes": [],
|
| 1161 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1162 |
-
"_model_module_version": "1.5.0",
|
| 1163 |
-
"_model_name": "HTMLModel",
|
| 1164 |
-
"_view_count": null,
|
| 1165 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1166 |
-
"_view_module_version": "1.5.0",
|
| 1167 |
-
"_view_name": "HTMLView",
|
| 1168 |
-
"description": "",
|
| 1169 |
-
"description_tooltip": null,
|
| 1170 |
-
"layout": "IPY_MODEL_2d8c70e1541c45968aac54e660e42290",
|
| 1171 |
-
"placeholder": "",
|
| 1172 |
-
"style": "IPY_MODEL_b11378b2e3f94ffc955357df9a1e79a6",
|
| 1173 |
-
"value": "Downloading (…)solve/main/vocab.txt: 100%"
|
| 1174 |
-
}
|
| 1175 |
-
},
|
| 1176 |
-
"33557d21210142bab4604b1a25d13c1f": {
|
| 1177 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1178 |
-
"model_name": "FloatProgressModel",
|
| 1179 |
-
"model_module_version": "1.5.0",
|
| 1180 |
-
"state": {
|
| 1181 |
-
"_dom_classes": [],
|
| 1182 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1183 |
-
"_model_module_version": "1.5.0",
|
| 1184 |
-
"_model_name": "FloatProgressModel",
|
| 1185 |
-
"_view_count": null,
|
| 1186 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1187 |
-
"_view_module_version": "1.5.0",
|
| 1188 |
-
"_view_name": "ProgressView",
|
| 1189 |
-
"bar_style": "success",
|
| 1190 |
-
"description": "",
|
| 1191 |
-
"description_tooltip": null,
|
| 1192 |
-
"layout": "IPY_MODEL_d3cd5ae5c44e4fc291161543e590d5f2",
|
| 1193 |
-
"max": 231508,
|
| 1194 |
-
"min": 0,
|
| 1195 |
-
"orientation": "horizontal",
|
| 1196 |
-
"style": "IPY_MODEL_78d0469b165645388939e9de25a485d1",
|
| 1197 |
-
"value": 231508
|
| 1198 |
-
}
|
| 1199 |
-
},
|
| 1200 |
-
"569657898c0a41f6807149b75056fe30": {
|
| 1201 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1202 |
-
"model_name": "HTMLModel",
|
| 1203 |
-
"model_module_version": "1.5.0",
|
| 1204 |
-
"state": {
|
| 1205 |
-
"_dom_classes": [],
|
| 1206 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1207 |
-
"_model_module_version": "1.5.0",
|
| 1208 |
-
"_model_name": "HTMLModel",
|
| 1209 |
-
"_view_count": null,
|
| 1210 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1211 |
-
"_view_module_version": "1.5.0",
|
| 1212 |
-
"_view_name": "HTMLView",
|
| 1213 |
-
"description": "",
|
| 1214 |
-
"description_tooltip": null,
|
| 1215 |
-
"layout": "IPY_MODEL_505fa60eaf34444fb5bbf15cfb26eea0",
|
| 1216 |
-
"placeholder": "",
|
| 1217 |
-
"style": "IPY_MODEL_616d49bd01034f3ba3475c3fb5678c8c",
|
| 1218 |
-
"value": " 232k/232k [00:00<00:00, 8.55MB/s]"
|
| 1219 |
-
}
|
| 1220 |
-
},
|
| 1221 |
-
"d756b7b7e64746df8910c893fd669997": {
|
| 1222 |
-
"model_module": "@jupyter-widgets/base",
|
| 1223 |
-
"model_name": "LayoutModel",
|
| 1224 |
-
"model_module_version": "1.2.0",
|
| 1225 |
-
"state": {
|
| 1226 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1227 |
-
"_model_module_version": "1.2.0",
|
| 1228 |
-
"_model_name": "LayoutModel",
|
| 1229 |
-
"_view_count": null,
|
| 1230 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1231 |
-
"_view_module_version": "1.2.0",
|
| 1232 |
-
"_view_name": "LayoutView",
|
| 1233 |
-
"align_content": null,
|
| 1234 |
-
"align_items": null,
|
| 1235 |
-
"align_self": null,
|
| 1236 |
-
"border": null,
|
| 1237 |
-
"bottom": null,
|
| 1238 |
-
"display": null,
|
| 1239 |
-
"flex": null,
|
| 1240 |
-
"flex_flow": null,
|
| 1241 |
-
"grid_area": null,
|
| 1242 |
-
"grid_auto_columns": null,
|
| 1243 |
-
"grid_auto_flow": null,
|
| 1244 |
-
"grid_auto_rows": null,
|
| 1245 |
-
"grid_column": null,
|
| 1246 |
-
"grid_gap": null,
|
| 1247 |
-
"grid_row": null,
|
| 1248 |
-
"grid_template_areas": null,
|
| 1249 |
-
"grid_template_columns": null,
|
| 1250 |
-
"grid_template_rows": null,
|
| 1251 |
-
"height": null,
|
| 1252 |
-
"justify_content": null,
|
| 1253 |
-
"justify_items": null,
|
| 1254 |
-
"left": null,
|
| 1255 |
-
"margin": null,
|
| 1256 |
-
"max_height": null,
|
| 1257 |
-
"max_width": null,
|
| 1258 |
-
"min_height": null,
|
| 1259 |
-
"min_width": null,
|
| 1260 |
-
"object_fit": null,
|
| 1261 |
-
"object_position": null,
|
| 1262 |
-
"order": null,
|
| 1263 |
-
"overflow": null,
|
| 1264 |
-
"overflow_x": null,
|
| 1265 |
-
"overflow_y": null,
|
| 1266 |
-
"padding": null,
|
| 1267 |
-
"right": null,
|
| 1268 |
-
"top": null,
|
| 1269 |
-
"visibility": null,
|
| 1270 |
-
"width": null
|
| 1271 |
-
}
|
| 1272 |
-
},
|
| 1273 |
-
"2d8c70e1541c45968aac54e660e42290": {
|
| 1274 |
-
"model_module": "@jupyter-widgets/base",
|
| 1275 |
-
"model_name": "LayoutModel",
|
| 1276 |
-
"model_module_version": "1.2.0",
|
| 1277 |
-
"state": {
|
| 1278 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1279 |
-
"_model_module_version": "1.2.0",
|
| 1280 |
-
"_model_name": "LayoutModel",
|
| 1281 |
-
"_view_count": null,
|
| 1282 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1283 |
-
"_view_module_version": "1.2.0",
|
| 1284 |
-
"_view_name": "LayoutView",
|
| 1285 |
-
"align_content": null,
|
| 1286 |
-
"align_items": null,
|
| 1287 |
-
"align_self": null,
|
| 1288 |
-
"border": null,
|
| 1289 |
-
"bottom": null,
|
| 1290 |
-
"display": null,
|
| 1291 |
-
"flex": null,
|
| 1292 |
-
"flex_flow": null,
|
| 1293 |
-
"grid_area": null,
|
| 1294 |
-
"grid_auto_columns": null,
|
| 1295 |
-
"grid_auto_flow": null,
|
| 1296 |
-
"grid_auto_rows": null,
|
| 1297 |
-
"grid_column": null,
|
| 1298 |
-
"grid_gap": null,
|
| 1299 |
-
"grid_row": null,
|
| 1300 |
-
"grid_template_areas": null,
|
| 1301 |
-
"grid_template_columns": null,
|
| 1302 |
-
"grid_template_rows": null,
|
| 1303 |
-
"height": null,
|
| 1304 |
-
"justify_content": null,
|
| 1305 |
-
"justify_items": null,
|
| 1306 |
-
"left": null,
|
| 1307 |
-
"margin": null,
|
| 1308 |
-
"max_height": null,
|
| 1309 |
-
"max_width": null,
|
| 1310 |
-
"min_height": null,
|
| 1311 |
-
"min_width": null,
|
| 1312 |
-
"object_fit": null,
|
| 1313 |
-
"object_position": null,
|
| 1314 |
-
"order": null,
|
| 1315 |
-
"overflow": null,
|
| 1316 |
-
"overflow_x": null,
|
| 1317 |
-
"overflow_y": null,
|
| 1318 |
-
"padding": null,
|
| 1319 |
-
"right": null,
|
| 1320 |
-
"top": null,
|
| 1321 |
-
"visibility": null,
|
| 1322 |
-
"width": null
|
| 1323 |
-
}
|
| 1324 |
-
},
|
| 1325 |
-
"b11378b2e3f94ffc955357df9a1e79a6": {
|
| 1326 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1327 |
-
"model_name": "DescriptionStyleModel",
|
| 1328 |
-
"model_module_version": "1.5.0",
|
| 1329 |
-
"state": {
|
| 1330 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1331 |
-
"_model_module_version": "1.5.0",
|
| 1332 |
-
"_model_name": "DescriptionStyleModel",
|
| 1333 |
-
"_view_count": null,
|
| 1334 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1335 |
-
"_view_module_version": "1.2.0",
|
| 1336 |
-
"_view_name": "StyleView",
|
| 1337 |
-
"description_width": ""
|
| 1338 |
-
}
|
| 1339 |
-
},
|
| 1340 |
-
"d3cd5ae5c44e4fc291161543e590d5f2": {
|
| 1341 |
-
"model_module": "@jupyter-widgets/base",
|
| 1342 |
-
"model_name": "LayoutModel",
|
| 1343 |
-
"model_module_version": "1.2.0",
|
| 1344 |
-
"state": {
|
| 1345 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1346 |
-
"_model_module_version": "1.2.0",
|
| 1347 |
-
"_model_name": "LayoutModel",
|
| 1348 |
-
"_view_count": null,
|
| 1349 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1350 |
-
"_view_module_version": "1.2.0",
|
| 1351 |
-
"_view_name": "LayoutView",
|
| 1352 |
-
"align_content": null,
|
| 1353 |
-
"align_items": null,
|
| 1354 |
-
"align_self": null,
|
| 1355 |
-
"border": null,
|
| 1356 |
-
"bottom": null,
|
| 1357 |
-
"display": null,
|
| 1358 |
-
"flex": null,
|
| 1359 |
-
"flex_flow": null,
|
| 1360 |
-
"grid_area": null,
|
| 1361 |
-
"grid_auto_columns": null,
|
| 1362 |
-
"grid_auto_flow": null,
|
| 1363 |
-
"grid_auto_rows": null,
|
| 1364 |
-
"grid_column": null,
|
| 1365 |
-
"grid_gap": null,
|
| 1366 |
-
"grid_row": null,
|
| 1367 |
-
"grid_template_areas": null,
|
| 1368 |
-
"grid_template_columns": null,
|
| 1369 |
-
"grid_template_rows": null,
|
| 1370 |
-
"height": null,
|
| 1371 |
-
"justify_content": null,
|
| 1372 |
-
"justify_items": null,
|
| 1373 |
-
"left": null,
|
| 1374 |
-
"margin": null,
|
| 1375 |
-
"max_height": null,
|
| 1376 |
-
"max_width": null,
|
| 1377 |
-
"min_height": null,
|
| 1378 |
-
"min_width": null,
|
| 1379 |
-
"object_fit": null,
|
| 1380 |
-
"object_position": null,
|
| 1381 |
-
"order": null,
|
| 1382 |
-
"overflow": null,
|
| 1383 |
-
"overflow_x": null,
|
| 1384 |
-
"overflow_y": null,
|
| 1385 |
-
"padding": null,
|
| 1386 |
-
"right": null,
|
| 1387 |
-
"top": null,
|
| 1388 |
-
"visibility": null,
|
| 1389 |
-
"width": null
|
| 1390 |
-
}
|
| 1391 |
-
},
|
| 1392 |
-
"78d0469b165645388939e9de25a485d1": {
|
| 1393 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1394 |
-
"model_name": "ProgressStyleModel",
|
| 1395 |
-
"model_module_version": "1.5.0",
|
| 1396 |
-
"state": {
|
| 1397 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1398 |
-
"_model_module_version": "1.5.0",
|
| 1399 |
-
"_model_name": "ProgressStyleModel",
|
| 1400 |
-
"_view_count": null,
|
| 1401 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1402 |
-
"_view_module_version": "1.2.0",
|
| 1403 |
-
"_view_name": "StyleView",
|
| 1404 |
-
"bar_color": null,
|
| 1405 |
-
"description_width": ""
|
| 1406 |
-
}
|
| 1407 |
-
},
|
| 1408 |
-
"505fa60eaf34444fb5bbf15cfb26eea0": {
|
| 1409 |
-
"model_module": "@jupyter-widgets/base",
|
| 1410 |
-
"model_name": "LayoutModel",
|
| 1411 |
-
"model_module_version": "1.2.0",
|
| 1412 |
-
"state": {
|
| 1413 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1414 |
-
"_model_module_version": "1.2.0",
|
| 1415 |
-
"_model_name": "LayoutModel",
|
| 1416 |
-
"_view_count": null,
|
| 1417 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1418 |
-
"_view_module_version": "1.2.0",
|
| 1419 |
-
"_view_name": "LayoutView",
|
| 1420 |
-
"align_content": null,
|
| 1421 |
-
"align_items": null,
|
| 1422 |
-
"align_self": null,
|
| 1423 |
-
"border": null,
|
| 1424 |
-
"bottom": null,
|
| 1425 |
-
"display": null,
|
| 1426 |
-
"flex": null,
|
| 1427 |
-
"flex_flow": null,
|
| 1428 |
-
"grid_area": null,
|
| 1429 |
-
"grid_auto_columns": null,
|
| 1430 |
-
"grid_auto_flow": null,
|
| 1431 |
-
"grid_auto_rows": null,
|
| 1432 |
-
"grid_column": null,
|
| 1433 |
-
"grid_gap": null,
|
| 1434 |
-
"grid_row": null,
|
| 1435 |
-
"grid_template_areas": null,
|
| 1436 |
-
"grid_template_columns": null,
|
| 1437 |
-
"grid_template_rows": null,
|
| 1438 |
-
"height": null,
|
| 1439 |
-
"justify_content": null,
|
| 1440 |
-
"justify_items": null,
|
| 1441 |
-
"left": null,
|
| 1442 |
-
"margin": null,
|
| 1443 |
-
"max_height": null,
|
| 1444 |
-
"max_width": null,
|
| 1445 |
-
"min_height": null,
|
| 1446 |
-
"min_width": null,
|
| 1447 |
-
"object_fit": null,
|
| 1448 |
-
"object_position": null,
|
| 1449 |
-
"order": null,
|
| 1450 |
-
"overflow": null,
|
| 1451 |
-
"overflow_x": null,
|
| 1452 |
-
"overflow_y": null,
|
| 1453 |
-
"padding": null,
|
| 1454 |
-
"right": null,
|
| 1455 |
-
"top": null,
|
| 1456 |
-
"visibility": null,
|
| 1457 |
-
"width": null
|
| 1458 |
-
}
|
| 1459 |
-
},
|
| 1460 |
-
"616d49bd01034f3ba3475c3fb5678c8c": {
|
| 1461 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1462 |
-
"model_name": "DescriptionStyleModel",
|
| 1463 |
-
"model_module_version": "1.5.0",
|
| 1464 |
-
"state": {
|
| 1465 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1466 |
-
"_model_module_version": "1.5.0",
|
| 1467 |
-
"_model_name": "DescriptionStyleModel",
|
| 1468 |
-
"_view_count": null,
|
| 1469 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1470 |
-
"_view_module_version": "1.2.0",
|
| 1471 |
-
"_view_name": "StyleView",
|
| 1472 |
-
"description_width": ""
|
| 1473 |
-
}
|
| 1474 |
-
},
|
| 1475 |
-
"47380f5fb7a84117a5111b793112ccb7": {
|
| 1476 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1477 |
-
"model_name": "HBoxModel",
|
| 1478 |
-
"model_module_version": "1.5.0",
|
| 1479 |
-
"state": {
|
| 1480 |
-
"_dom_classes": [],
|
| 1481 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1482 |
-
"_model_module_version": "1.5.0",
|
| 1483 |
-
"_model_name": "HBoxModel",
|
| 1484 |
-
"_view_count": null,
|
| 1485 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1486 |
-
"_view_module_version": "1.5.0",
|
| 1487 |
-
"_view_name": "HBoxView",
|
| 1488 |
-
"box_style": "",
|
| 1489 |
-
"children": [
|
| 1490 |
-
"IPY_MODEL_dac124b1a57547fca17d82f6d0c657a1",
|
| 1491 |
-
"IPY_MODEL_d7dba2f6840f4fcc8f40c19dc00728aa",
|
| 1492 |
-
"IPY_MODEL_911a8f4abac94139bff29856dd388d66"
|
| 1493 |
-
],
|
| 1494 |
-
"layout": "IPY_MODEL_f5d8a137a5464cc8b65234113ccb3035"
|
| 1495 |
-
}
|
| 1496 |
-
},
|
| 1497 |
-
"dac124b1a57547fca17d82f6d0c657a1": {
|
| 1498 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1499 |
-
"model_name": "HTMLModel",
|
| 1500 |
-
"model_module_version": "1.5.0",
|
| 1501 |
-
"state": {
|
| 1502 |
-
"_dom_classes": [],
|
| 1503 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1504 |
-
"_model_module_version": "1.5.0",
|
| 1505 |
-
"_model_name": "HTMLModel",
|
| 1506 |
-
"_view_count": null,
|
| 1507 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1508 |
-
"_view_module_version": "1.5.0",
|
| 1509 |
-
"_view_name": "HTMLView",
|
| 1510 |
-
"description": "",
|
| 1511 |
-
"description_tooltip": null,
|
| 1512 |
-
"layout": "IPY_MODEL_ae330ca3db674b19b221dc6b959a849c",
|
| 1513 |
-
"placeholder": "",
|
| 1514 |
-
"style": "IPY_MODEL_f119e54274584cce9994da81e3088f31",
|
| 1515 |
-
"value": "Downloading (…)okenizer_config.json: 100%"
|
| 1516 |
-
}
|
| 1517 |
-
},
|
| 1518 |
-
"d7dba2f6840f4fcc8f40c19dc00728aa": {
|
| 1519 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1520 |
-
"model_name": "FloatProgressModel",
|
| 1521 |
-
"model_module_version": "1.5.0",
|
| 1522 |
-
"state": {
|
| 1523 |
-
"_dom_classes": [],
|
| 1524 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1525 |
-
"_model_module_version": "1.5.0",
|
| 1526 |
-
"_model_name": "FloatProgressModel",
|
| 1527 |
-
"_view_count": null,
|
| 1528 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1529 |
-
"_view_module_version": "1.5.0",
|
| 1530 |
-
"_view_name": "ProgressView",
|
| 1531 |
-
"bar_style": "success",
|
| 1532 |
-
"description": "",
|
| 1533 |
-
"description_tooltip": null,
|
| 1534 |
-
"layout": "IPY_MODEL_162bbf7db0f04757b32f12342ea1b469",
|
| 1535 |
-
"max": 28,
|
| 1536 |
-
"min": 0,
|
| 1537 |
-
"orientation": "horizontal",
|
| 1538 |
-
"style": "IPY_MODEL_438c3def082e4ee4b22e213a85263e95",
|
| 1539 |
-
"value": 28
|
| 1540 |
-
}
|
| 1541 |
-
},
|
| 1542 |
-
"911a8f4abac94139bff29856dd388d66": {
|
| 1543 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1544 |
-
"model_name": "HTMLModel",
|
| 1545 |
-
"model_module_version": "1.5.0",
|
| 1546 |
-
"state": {
|
| 1547 |
-
"_dom_classes": [],
|
| 1548 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1549 |
-
"_model_module_version": "1.5.0",
|
| 1550 |
-
"_model_name": "HTMLModel",
|
| 1551 |
-
"_view_count": null,
|
| 1552 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1553 |
-
"_view_module_version": "1.5.0",
|
| 1554 |
-
"_view_name": "HTMLView",
|
| 1555 |
-
"description": "",
|
| 1556 |
-
"description_tooltip": null,
|
| 1557 |
-
"layout": "IPY_MODEL_566ff1a7d087482d8dff86e81c408cf8",
|
| 1558 |
-
"placeholder": "",
|
| 1559 |
-
"style": "IPY_MODEL_7bec7296065e48739e67e498beb93a61",
|
| 1560 |
-
"value": " 28.0/28.0 [00:00<00:00, 1.69kB/s]"
|
| 1561 |
-
}
|
| 1562 |
-
},
|
| 1563 |
-
"f5d8a137a5464cc8b65234113ccb3035": {
|
| 1564 |
-
"model_module": "@jupyter-widgets/base",
|
| 1565 |
-
"model_name": "LayoutModel",
|
| 1566 |
-
"model_module_version": "1.2.0",
|
| 1567 |
-
"state": {
|
| 1568 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1569 |
-
"_model_module_version": "1.2.0",
|
| 1570 |
-
"_model_name": "LayoutModel",
|
| 1571 |
-
"_view_count": null,
|
| 1572 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1573 |
-
"_view_module_version": "1.2.0",
|
| 1574 |
-
"_view_name": "LayoutView",
|
| 1575 |
-
"align_content": null,
|
| 1576 |
-
"align_items": null,
|
| 1577 |
-
"align_self": null,
|
| 1578 |
-
"border": null,
|
| 1579 |
-
"bottom": null,
|
| 1580 |
-
"display": null,
|
| 1581 |
-
"flex": null,
|
| 1582 |
-
"flex_flow": null,
|
| 1583 |
-
"grid_area": null,
|
| 1584 |
-
"grid_auto_columns": null,
|
| 1585 |
-
"grid_auto_flow": null,
|
| 1586 |
-
"grid_auto_rows": null,
|
| 1587 |
-
"grid_column": null,
|
| 1588 |
-
"grid_gap": null,
|
| 1589 |
-
"grid_row": null,
|
| 1590 |
-
"grid_template_areas": null,
|
| 1591 |
-
"grid_template_columns": null,
|
| 1592 |
-
"grid_template_rows": null,
|
| 1593 |
-
"height": null,
|
| 1594 |
-
"justify_content": null,
|
| 1595 |
-
"justify_items": null,
|
| 1596 |
-
"left": null,
|
| 1597 |
-
"margin": null,
|
| 1598 |
-
"max_height": null,
|
| 1599 |
-
"max_width": null,
|
| 1600 |
-
"min_height": null,
|
| 1601 |
-
"min_width": null,
|
| 1602 |
-
"object_fit": null,
|
| 1603 |
-
"object_position": null,
|
| 1604 |
-
"order": null,
|
| 1605 |
-
"overflow": null,
|
| 1606 |
-
"overflow_x": null,
|
| 1607 |
-
"overflow_y": null,
|
| 1608 |
-
"padding": null,
|
| 1609 |
-
"right": null,
|
| 1610 |
-
"top": null,
|
| 1611 |
-
"visibility": null,
|
| 1612 |
-
"width": null
|
| 1613 |
-
}
|
| 1614 |
-
},
|
| 1615 |
-
"ae330ca3db674b19b221dc6b959a849c": {
|
| 1616 |
-
"model_module": "@jupyter-widgets/base",
|
| 1617 |
-
"model_name": "LayoutModel",
|
| 1618 |
-
"model_module_version": "1.2.0",
|
| 1619 |
-
"state": {
|
| 1620 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1621 |
-
"_model_module_version": "1.2.0",
|
| 1622 |
-
"_model_name": "LayoutModel",
|
| 1623 |
-
"_view_count": null,
|
| 1624 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1625 |
-
"_view_module_version": "1.2.0",
|
| 1626 |
-
"_view_name": "LayoutView",
|
| 1627 |
-
"align_content": null,
|
| 1628 |
-
"align_items": null,
|
| 1629 |
-
"align_self": null,
|
| 1630 |
-
"border": null,
|
| 1631 |
-
"bottom": null,
|
| 1632 |
-
"display": null,
|
| 1633 |
-
"flex": null,
|
| 1634 |
-
"flex_flow": null,
|
| 1635 |
-
"grid_area": null,
|
| 1636 |
-
"grid_auto_columns": null,
|
| 1637 |
-
"grid_auto_flow": null,
|
| 1638 |
-
"grid_auto_rows": null,
|
| 1639 |
-
"grid_column": null,
|
| 1640 |
-
"grid_gap": null,
|
| 1641 |
-
"grid_row": null,
|
| 1642 |
-
"grid_template_areas": null,
|
| 1643 |
-
"grid_template_columns": null,
|
| 1644 |
-
"grid_template_rows": null,
|
| 1645 |
-
"height": null,
|
| 1646 |
-
"justify_content": null,
|
| 1647 |
-
"justify_items": null,
|
| 1648 |
-
"left": null,
|
| 1649 |
-
"margin": null,
|
| 1650 |
-
"max_height": null,
|
| 1651 |
-
"max_width": null,
|
| 1652 |
-
"min_height": null,
|
| 1653 |
-
"min_width": null,
|
| 1654 |
-
"object_fit": null,
|
| 1655 |
-
"object_position": null,
|
| 1656 |
-
"order": null,
|
| 1657 |
-
"overflow": null,
|
| 1658 |
-
"overflow_x": null,
|
| 1659 |
-
"overflow_y": null,
|
| 1660 |
-
"padding": null,
|
| 1661 |
-
"right": null,
|
| 1662 |
-
"top": null,
|
| 1663 |
-
"visibility": null,
|
| 1664 |
-
"width": null
|
| 1665 |
-
}
|
| 1666 |
-
},
|
| 1667 |
-
"f119e54274584cce9994da81e3088f31": {
|
| 1668 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1669 |
-
"model_name": "DescriptionStyleModel",
|
| 1670 |
-
"model_module_version": "1.5.0",
|
| 1671 |
-
"state": {
|
| 1672 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1673 |
-
"_model_module_version": "1.5.0",
|
| 1674 |
-
"_model_name": "DescriptionStyleModel",
|
| 1675 |
-
"_view_count": null,
|
| 1676 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1677 |
-
"_view_module_version": "1.2.0",
|
| 1678 |
-
"_view_name": "StyleView",
|
| 1679 |
-
"description_width": ""
|
| 1680 |
-
}
|
| 1681 |
-
},
|
| 1682 |
-
"162bbf7db0f04757b32f12342ea1b469": {
|
| 1683 |
-
"model_module": "@jupyter-widgets/base",
|
| 1684 |
-
"model_name": "LayoutModel",
|
| 1685 |
-
"model_module_version": "1.2.0",
|
| 1686 |
-
"state": {
|
| 1687 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1688 |
-
"_model_module_version": "1.2.0",
|
| 1689 |
-
"_model_name": "LayoutModel",
|
| 1690 |
-
"_view_count": null,
|
| 1691 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1692 |
-
"_view_module_version": "1.2.0",
|
| 1693 |
-
"_view_name": "LayoutView",
|
| 1694 |
-
"align_content": null,
|
| 1695 |
-
"align_items": null,
|
| 1696 |
-
"align_self": null,
|
| 1697 |
-
"border": null,
|
| 1698 |
-
"bottom": null,
|
| 1699 |
-
"display": null,
|
| 1700 |
-
"flex": null,
|
| 1701 |
-
"flex_flow": null,
|
| 1702 |
-
"grid_area": null,
|
| 1703 |
-
"grid_auto_columns": null,
|
| 1704 |
-
"grid_auto_flow": null,
|
| 1705 |
-
"grid_auto_rows": null,
|
| 1706 |
-
"grid_column": null,
|
| 1707 |
-
"grid_gap": null,
|
| 1708 |
-
"grid_row": null,
|
| 1709 |
-
"grid_template_areas": null,
|
| 1710 |
-
"grid_template_columns": null,
|
| 1711 |
-
"grid_template_rows": null,
|
| 1712 |
-
"height": null,
|
| 1713 |
-
"justify_content": null,
|
| 1714 |
-
"justify_items": null,
|
| 1715 |
-
"left": null,
|
| 1716 |
-
"margin": null,
|
| 1717 |
-
"max_height": null,
|
| 1718 |
-
"max_width": null,
|
| 1719 |
-
"min_height": null,
|
| 1720 |
-
"min_width": null,
|
| 1721 |
-
"object_fit": null,
|
| 1722 |
-
"object_position": null,
|
| 1723 |
-
"order": null,
|
| 1724 |
-
"overflow": null,
|
| 1725 |
-
"overflow_x": null,
|
| 1726 |
-
"overflow_y": null,
|
| 1727 |
-
"padding": null,
|
| 1728 |
-
"right": null,
|
| 1729 |
-
"top": null,
|
| 1730 |
-
"visibility": null,
|
| 1731 |
-
"width": null
|
| 1732 |
-
}
|
| 1733 |
-
},
|
| 1734 |
-
"438c3def082e4ee4b22e213a85263e95": {
|
| 1735 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1736 |
-
"model_name": "ProgressStyleModel",
|
| 1737 |
-
"model_module_version": "1.5.0",
|
| 1738 |
-
"state": {
|
| 1739 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1740 |
-
"_model_module_version": "1.5.0",
|
| 1741 |
-
"_model_name": "ProgressStyleModel",
|
| 1742 |
-
"_view_count": null,
|
| 1743 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1744 |
-
"_view_module_version": "1.2.0",
|
| 1745 |
-
"_view_name": "StyleView",
|
| 1746 |
-
"bar_color": null,
|
| 1747 |
-
"description_width": ""
|
| 1748 |
-
}
|
| 1749 |
-
},
|
| 1750 |
-
"566ff1a7d087482d8dff86e81c408cf8": {
|
| 1751 |
-
"model_module": "@jupyter-widgets/base",
|
| 1752 |
-
"model_name": "LayoutModel",
|
| 1753 |
-
"model_module_version": "1.2.0",
|
| 1754 |
-
"state": {
|
| 1755 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1756 |
-
"_model_module_version": "1.2.0",
|
| 1757 |
-
"_model_name": "LayoutModel",
|
| 1758 |
-
"_view_count": null,
|
| 1759 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1760 |
-
"_view_module_version": "1.2.0",
|
| 1761 |
-
"_view_name": "LayoutView",
|
| 1762 |
-
"align_content": null,
|
| 1763 |
-
"align_items": null,
|
| 1764 |
-
"align_self": null,
|
| 1765 |
-
"border": null,
|
| 1766 |
-
"bottom": null,
|
| 1767 |
-
"display": null,
|
| 1768 |
-
"flex": null,
|
| 1769 |
-
"flex_flow": null,
|
| 1770 |
-
"grid_area": null,
|
| 1771 |
-
"grid_auto_columns": null,
|
| 1772 |
-
"grid_auto_flow": null,
|
| 1773 |
-
"grid_auto_rows": null,
|
| 1774 |
-
"grid_column": null,
|
| 1775 |
-
"grid_gap": null,
|
| 1776 |
-
"grid_row": null,
|
| 1777 |
-
"grid_template_areas": null,
|
| 1778 |
-
"grid_template_columns": null,
|
| 1779 |
-
"grid_template_rows": null,
|
| 1780 |
-
"height": null,
|
| 1781 |
-
"justify_content": null,
|
| 1782 |
-
"justify_items": null,
|
| 1783 |
-
"left": null,
|
| 1784 |
-
"margin": null,
|
| 1785 |
-
"max_height": null,
|
| 1786 |
-
"max_width": null,
|
| 1787 |
-
"min_height": null,
|
| 1788 |
-
"min_width": null,
|
| 1789 |
-
"object_fit": null,
|
| 1790 |
-
"object_position": null,
|
| 1791 |
-
"order": null,
|
| 1792 |
-
"overflow": null,
|
| 1793 |
-
"overflow_x": null,
|
| 1794 |
-
"overflow_y": null,
|
| 1795 |
-
"padding": null,
|
| 1796 |
-
"right": null,
|
| 1797 |
-
"top": null,
|
| 1798 |
-
"visibility": null,
|
| 1799 |
-
"width": null
|
| 1800 |
-
}
|
| 1801 |
-
},
|
| 1802 |
-
"7bec7296065e48739e67e498beb93a61": {
|
| 1803 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1804 |
-
"model_name": "DescriptionStyleModel",
|
| 1805 |
-
"model_module_version": "1.5.0",
|
| 1806 |
-
"state": {
|
| 1807 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1808 |
-
"_model_module_version": "1.5.0",
|
| 1809 |
-
"_model_name": "DescriptionStyleModel",
|
| 1810 |
-
"_view_count": null,
|
| 1811 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1812 |
-
"_view_module_version": "1.2.0",
|
| 1813 |
-
"_view_name": "StyleView",
|
| 1814 |
-
"description_width": ""
|
| 1815 |
-
}
|
| 1816 |
-
},
|
| 1817 |
-
"aea1a283ac1b41e2b62c1f09f6afff45": {
|
| 1818 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1819 |
-
"model_name": "HBoxModel",
|
| 1820 |
-
"model_module_version": "1.5.0",
|
| 1821 |
-
"state": {
|
| 1822 |
-
"_dom_classes": [],
|
| 1823 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1824 |
-
"_model_module_version": "1.5.0",
|
| 1825 |
-
"_model_name": "HBoxModel",
|
| 1826 |
-
"_view_count": null,
|
| 1827 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1828 |
-
"_view_module_version": "1.5.0",
|
| 1829 |
-
"_view_name": "HBoxView",
|
| 1830 |
-
"box_style": "",
|
| 1831 |
-
"children": [
|
| 1832 |
-
"IPY_MODEL_b67848e7c426480a82381325e9676fc2",
|
| 1833 |
-
"IPY_MODEL_1d46459ac8a44bc3bde70d24b9d029bf",
|
| 1834 |
-
"IPY_MODEL_ba9b581e9a1d4b10ac37fb82aba866d0"
|
| 1835 |
-
],
|
| 1836 |
-
"layout": "IPY_MODEL_ee226c57f8e2475ca6810721a522a223"
|
| 1837 |
-
}
|
| 1838 |
-
},
|
| 1839 |
-
"b67848e7c426480a82381325e9676fc2": {
|
| 1840 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1841 |
-
"model_name": "HTMLModel",
|
| 1842 |
-
"model_module_version": "1.5.0",
|
| 1843 |
-
"state": {
|
| 1844 |
-
"_dom_classes": [],
|
| 1845 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1846 |
-
"_model_module_version": "1.5.0",
|
| 1847 |
-
"_model_name": "HTMLModel",
|
| 1848 |
-
"_view_count": null,
|
| 1849 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1850 |
-
"_view_module_version": "1.5.0",
|
| 1851 |
-
"_view_name": "HTMLView",
|
| 1852 |
-
"description": "",
|
| 1853 |
-
"description_tooltip": null,
|
| 1854 |
-
"layout": "IPY_MODEL_53496d66f57a4805837340d07216cea4",
|
| 1855 |
-
"placeholder": "",
|
| 1856 |
-
"style": "IPY_MODEL_5c77f423a23b44ed9c9187a5991ffd45",
|
| 1857 |
-
"value": "Downloading (…)lve/main/config.json: 100%"
|
| 1858 |
-
}
|
| 1859 |
-
},
|
| 1860 |
-
"1d46459ac8a44bc3bde70d24b9d029bf": {
|
| 1861 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1862 |
-
"model_name": "FloatProgressModel",
|
| 1863 |
-
"model_module_version": "1.5.0",
|
| 1864 |
-
"state": {
|
| 1865 |
-
"_dom_classes": [],
|
| 1866 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1867 |
-
"_model_module_version": "1.5.0",
|
| 1868 |
-
"_model_name": "FloatProgressModel",
|
| 1869 |
-
"_view_count": null,
|
| 1870 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1871 |
-
"_view_module_version": "1.5.0",
|
| 1872 |
-
"_view_name": "ProgressView",
|
| 1873 |
-
"bar_style": "success",
|
| 1874 |
-
"description": "",
|
| 1875 |
-
"description_tooltip": null,
|
| 1876 |
-
"layout": "IPY_MODEL_e6b65d341d464d00a02ca4f4558f5eca",
|
| 1877 |
-
"max": 570,
|
| 1878 |
-
"min": 0,
|
| 1879 |
-
"orientation": "horizontal",
|
| 1880 |
-
"style": "IPY_MODEL_dad71950568b48ea86698584d1a3c8aa",
|
| 1881 |
-
"value": 570
|
| 1882 |
-
}
|
| 1883 |
-
},
|
| 1884 |
-
"ba9b581e9a1d4b10ac37fb82aba866d0": {
|
| 1885 |
-
"model_module": "@jupyter-widgets/controls",
|
| 1886 |
-
"model_name": "HTMLModel",
|
| 1887 |
-
"model_module_version": "1.5.0",
|
| 1888 |
-
"state": {
|
| 1889 |
-
"_dom_classes": [],
|
| 1890 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 1891 |
-
"_model_module_version": "1.5.0",
|
| 1892 |
-
"_model_name": "HTMLModel",
|
| 1893 |
-
"_view_count": null,
|
| 1894 |
-
"_view_module": "@jupyter-widgets/controls",
|
| 1895 |
-
"_view_module_version": "1.5.0",
|
| 1896 |
-
"_view_name": "HTMLView",
|
| 1897 |
-
"description": "",
|
| 1898 |
-
"description_tooltip": null,
|
| 1899 |
-
"layout": "IPY_MODEL_7c7adbd1a76446c0aba2f535e2c1fabd",
|
| 1900 |
-
"placeholder": "",
|
| 1901 |
-
"style": "IPY_MODEL_69fae47244e542f886a1e487a3126aef",
|
| 1902 |
-
"value": " 570/570 [00:00<00:00, 34.0kB/s]"
|
| 1903 |
-
}
|
| 1904 |
-
},
|
| 1905 |
-
"ee226c57f8e2475ca6810721a522a223": {
|
| 1906 |
-
"model_module": "@jupyter-widgets/base",
|
| 1907 |
-
"model_name": "LayoutModel",
|
| 1908 |
-
"model_module_version": "1.2.0",
|
| 1909 |
-
"state": {
|
| 1910 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1911 |
-
"_model_module_version": "1.2.0",
|
| 1912 |
-
"_model_name": "LayoutModel",
|
| 1913 |
-
"_view_count": null,
|
| 1914 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1915 |
-
"_view_module_version": "1.2.0",
|
| 1916 |
-
"_view_name": "LayoutView",
|
| 1917 |
-
"align_content": null,
|
| 1918 |
-
"align_items": null,
|
| 1919 |
-
"align_self": null,
|
| 1920 |
-
"border": null,
|
| 1921 |
-
"bottom": null,
|
| 1922 |
-
"display": null,
|
| 1923 |
-
"flex": null,
|
| 1924 |
-
"flex_flow": null,
|
| 1925 |
-
"grid_area": null,
|
| 1926 |
-
"grid_auto_columns": null,
|
| 1927 |
-
"grid_auto_flow": null,
|
| 1928 |
-
"grid_auto_rows": null,
|
| 1929 |
-
"grid_column": null,
|
| 1930 |
-
"grid_gap": null,
|
| 1931 |
-
"grid_row": null,
|
| 1932 |
-
"grid_template_areas": null,
|
| 1933 |
-
"grid_template_columns": null,
|
| 1934 |
-
"grid_template_rows": null,
|
| 1935 |
-
"height": null,
|
| 1936 |
-
"justify_content": null,
|
| 1937 |
-
"justify_items": null,
|
| 1938 |
-
"left": null,
|
| 1939 |
-
"margin": null,
|
| 1940 |
-
"max_height": null,
|
| 1941 |
-
"max_width": null,
|
| 1942 |
-
"min_height": null,
|
| 1943 |
-
"min_width": null,
|
| 1944 |
-
"object_fit": null,
|
| 1945 |
-
"object_position": null,
|
| 1946 |
-
"order": null,
|
| 1947 |
-
"overflow": null,
|
| 1948 |
-
"overflow_x": null,
|
| 1949 |
-
"overflow_y": null,
|
| 1950 |
-
"padding": null,
|
| 1951 |
-
"right": null,
|
| 1952 |
-
"top": null,
|
| 1953 |
-
"visibility": null,
|
| 1954 |
-
"width": null
|
| 1955 |
-
}
|
| 1956 |
-
},
|
| 1957 |
-
"53496d66f57a4805837340d07216cea4": {
|
| 1958 |
-
"model_module": "@jupyter-widgets/base",
|
| 1959 |
-
"model_name": "LayoutModel",
|
| 1960 |
-
"model_module_version": "1.2.0",
|
| 1961 |
-
"state": {
|
| 1962 |
-
"_model_module": "@jupyter-widgets/base",
|
| 1963 |
-
"_model_module_version": "1.2.0",
|
| 1964 |
-
"_model_name": "LayoutModel",
|
| 1965 |
-
"_view_count": null,
|
| 1966 |
-
"_view_module": "@jupyter-widgets/base",
|
| 1967 |
-
"_view_module_version": "1.2.0",
|
| 1968 |
-
"_view_name": "LayoutView",
|
| 1969 |
-
"align_content": null,
|
| 1970 |
-
"align_items": null,
|
| 1971 |
-
"align_self": null,
|
| 1972 |
-
"border": null,
|
| 1973 |
-
"bottom": null,
|
| 1974 |
-
"display": null,
|
| 1975 |
-
"flex": null,
|
| 1976 |
-
"flex_flow": null,
|
| 1977 |
-
"grid_area": null,
|
| 1978 |
-
"grid_auto_columns": null,
|
| 1979 |
-
"grid_auto_flow": null,
|
| 1980 |
-
"grid_auto_rows": null,
|
| 1981 |
-
"grid_column": null,
|
| 1982 |
-
"grid_gap": null,
|
| 1983 |
-
"grid_row": null,
|
| 1984 |
-
"grid_template_areas": null,
|
| 1985 |
-
"grid_template_columns": null,
|
| 1986 |
-
"grid_template_rows": null,
|
| 1987 |
-
"height": null,
|
| 1988 |
-
"justify_content": null,
|
| 1989 |
-
"justify_items": null,
|
| 1990 |
-
"left": null,
|
| 1991 |
-
"margin": null,
|
| 1992 |
-
"max_height": null,
|
| 1993 |
-
"max_width": null,
|
| 1994 |
-
"min_height": null,
|
| 1995 |
-
"min_width": null,
|
| 1996 |
-
"object_fit": null,
|
| 1997 |
-
"object_position": null,
|
| 1998 |
-
"order": null,
|
| 1999 |
-
"overflow": null,
|
| 2000 |
-
"overflow_x": null,
|
| 2001 |
-
"overflow_y": null,
|
| 2002 |
-
"padding": null,
|
| 2003 |
-
"right": null,
|
| 2004 |
-
"top": null,
|
| 2005 |
-
"visibility": null,
|
| 2006 |
-
"width": null
|
| 2007 |
-
}
|
| 2008 |
-
},
|
| 2009 |
-
"5c77f423a23b44ed9c9187a5991ffd45": {
|
| 2010 |
-
"model_module": "@jupyter-widgets/controls",
|
| 2011 |
-
"model_name": "DescriptionStyleModel",
|
| 2012 |
-
"model_module_version": "1.5.0",
|
| 2013 |
-
"state": {
|
| 2014 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 2015 |
-
"_model_module_version": "1.5.0",
|
| 2016 |
-
"_model_name": "DescriptionStyleModel",
|
| 2017 |
-
"_view_count": null,
|
| 2018 |
-
"_view_module": "@jupyter-widgets/base",
|
| 2019 |
-
"_view_module_version": "1.2.0",
|
| 2020 |
-
"_view_name": "StyleView",
|
| 2021 |
-
"description_width": ""
|
| 2022 |
-
}
|
| 2023 |
-
},
|
| 2024 |
-
"e6b65d341d464d00a02ca4f4558f5eca": {
|
| 2025 |
-
"model_module": "@jupyter-widgets/base",
|
| 2026 |
-
"model_name": "LayoutModel",
|
| 2027 |
-
"model_module_version": "1.2.0",
|
| 2028 |
-
"state": {
|
| 2029 |
-
"_model_module": "@jupyter-widgets/base",
|
| 2030 |
-
"_model_module_version": "1.2.0",
|
| 2031 |
-
"_model_name": "LayoutModel",
|
| 2032 |
-
"_view_count": null,
|
| 2033 |
-
"_view_module": "@jupyter-widgets/base",
|
| 2034 |
-
"_view_module_version": "1.2.0",
|
| 2035 |
-
"_view_name": "LayoutView",
|
| 2036 |
-
"align_content": null,
|
| 2037 |
-
"align_items": null,
|
| 2038 |
-
"align_self": null,
|
| 2039 |
-
"border": null,
|
| 2040 |
-
"bottom": null,
|
| 2041 |
-
"display": null,
|
| 2042 |
-
"flex": null,
|
| 2043 |
-
"flex_flow": null,
|
| 2044 |
-
"grid_area": null,
|
| 2045 |
-
"grid_auto_columns": null,
|
| 2046 |
-
"grid_auto_flow": null,
|
| 2047 |
-
"grid_auto_rows": null,
|
| 2048 |
-
"grid_column": null,
|
| 2049 |
-
"grid_gap": null,
|
| 2050 |
-
"grid_row": null,
|
| 2051 |
-
"grid_template_areas": null,
|
| 2052 |
-
"grid_template_columns": null,
|
| 2053 |
-
"grid_template_rows": null,
|
| 2054 |
-
"height": null,
|
| 2055 |
-
"justify_content": null,
|
| 2056 |
-
"justify_items": null,
|
| 2057 |
-
"left": null,
|
| 2058 |
-
"margin": null,
|
| 2059 |
-
"max_height": null,
|
| 2060 |
-
"max_width": null,
|
| 2061 |
-
"min_height": null,
|
| 2062 |
-
"min_width": null,
|
| 2063 |
-
"object_fit": null,
|
| 2064 |
-
"object_position": null,
|
| 2065 |
-
"order": null,
|
| 2066 |
-
"overflow": null,
|
| 2067 |
-
"overflow_x": null,
|
| 2068 |
-
"overflow_y": null,
|
| 2069 |
-
"padding": null,
|
| 2070 |
-
"right": null,
|
| 2071 |
-
"top": null,
|
| 2072 |
-
"visibility": null,
|
| 2073 |
-
"width": null
|
| 2074 |
-
}
|
| 2075 |
-
},
|
| 2076 |
-
"dad71950568b48ea86698584d1a3c8aa": {
|
| 2077 |
-
"model_module": "@jupyter-widgets/controls",
|
| 2078 |
-
"model_name": "ProgressStyleModel",
|
| 2079 |
-
"model_module_version": "1.5.0",
|
| 2080 |
-
"state": {
|
| 2081 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 2082 |
-
"_model_module_version": "1.5.0",
|
| 2083 |
-
"_model_name": "ProgressStyleModel",
|
| 2084 |
-
"_view_count": null,
|
| 2085 |
-
"_view_module": "@jupyter-widgets/base",
|
| 2086 |
-
"_view_module_version": "1.2.0",
|
| 2087 |
-
"_view_name": "StyleView",
|
| 2088 |
-
"bar_color": null,
|
| 2089 |
-
"description_width": ""
|
| 2090 |
-
}
|
| 2091 |
-
},
|
| 2092 |
-
"7c7adbd1a76446c0aba2f535e2c1fabd": {
|
| 2093 |
-
"model_module": "@jupyter-widgets/base",
|
| 2094 |
-
"model_name": "LayoutModel",
|
| 2095 |
-
"model_module_version": "1.2.0",
|
| 2096 |
-
"state": {
|
| 2097 |
-
"_model_module": "@jupyter-widgets/base",
|
| 2098 |
-
"_model_module_version": "1.2.0",
|
| 2099 |
-
"_model_name": "LayoutModel",
|
| 2100 |
-
"_view_count": null,
|
| 2101 |
-
"_view_module": "@jupyter-widgets/base",
|
| 2102 |
-
"_view_module_version": "1.2.0",
|
| 2103 |
-
"_view_name": "LayoutView",
|
| 2104 |
-
"align_content": null,
|
| 2105 |
-
"align_items": null,
|
| 2106 |
-
"align_self": null,
|
| 2107 |
-
"border": null,
|
| 2108 |
-
"bottom": null,
|
| 2109 |
-
"display": null,
|
| 2110 |
-
"flex": null,
|
| 2111 |
-
"flex_flow": null,
|
| 2112 |
-
"grid_area": null,
|
| 2113 |
-
"grid_auto_columns": null,
|
| 2114 |
-
"grid_auto_flow": null,
|
| 2115 |
-
"grid_auto_rows": null,
|
| 2116 |
-
"grid_column": null,
|
| 2117 |
-
"grid_gap": null,
|
| 2118 |
-
"grid_row": null,
|
| 2119 |
-
"grid_template_areas": null,
|
| 2120 |
-
"grid_template_columns": null,
|
| 2121 |
-
"grid_template_rows": null,
|
| 2122 |
-
"height": null,
|
| 2123 |
-
"justify_content": null,
|
| 2124 |
-
"justify_items": null,
|
| 2125 |
-
"left": null,
|
| 2126 |
-
"margin": null,
|
| 2127 |
-
"max_height": null,
|
| 2128 |
-
"max_width": null,
|
| 2129 |
-
"min_height": null,
|
| 2130 |
-
"min_width": null,
|
| 2131 |
-
"object_fit": null,
|
| 2132 |
-
"object_position": null,
|
| 2133 |
-
"order": null,
|
| 2134 |
-
"overflow": null,
|
| 2135 |
-
"overflow_x": null,
|
| 2136 |
-
"overflow_y": null,
|
| 2137 |
-
"padding": null,
|
| 2138 |
-
"right": null,
|
| 2139 |
-
"top": null,
|
| 2140 |
-
"visibility": null,
|
| 2141 |
-
"width": null
|
| 2142 |
-
}
|
| 2143 |
-
},
|
| 2144 |
-
"69fae47244e542f886a1e487a3126aef": {
|
| 2145 |
-
"model_module": "@jupyter-widgets/controls",
|
| 2146 |
-
"model_name": "DescriptionStyleModel",
|
| 2147 |
-
"model_module_version": "1.5.0",
|
| 2148 |
-
"state": {
|
| 2149 |
-
"_model_module": "@jupyter-widgets/controls",
|
| 2150 |
-
"_model_module_version": "1.5.0",
|
| 2151 |
-
"_model_name": "DescriptionStyleModel",
|
| 2152 |
-
"_view_count": null,
|
| 2153 |
-
"_view_module": "@jupyter-widgets/base",
|
| 2154 |
-
"_view_module_version": "1.2.0",
|
| 2155 |
-
"_view_name": "StyleView",
|
| 2156 |
-
"description_width": ""
|
| 2157 |
-
}
|
| 2158 |
-
}
|
| 2159 |
-
}
|
| 2160 |
-
}
|
| 2161 |
-
},
|
| 2162 |
-
"nbformat": 4,
|
| 2163 |
-
"nbformat_minor": 0
|
| 2164 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|