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"source": [ "!pip install transformers datasets torch scikit-learn" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "lWmny_C1E8Bl", "outputId": "36b831ee-6856-4151-f262-b791c2336bfd" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.52.4)\n", "Requirement already satisfied: datasets in /usr/local/lib/python3.11/dist-packages (2.14.4)\n", "Requirement already satisfied: torch in /usr/local/lib/python3.11/dist-packages (2.6.0+cu124)\n", "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.11/dist-packages (1.6.1)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.18.0)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.30.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.33.0)\n", "Requirement already satisfied: numpy>=1.17 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collected packages: nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12\n", " Attempting uninstall: nvidia-nvjitlink-cu12\n", " Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n", " Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n", " Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n", " Attempting uninstall: nvidia-curand-cu12\n", " Found existing installation: nvidia-curand-cu12 10.3.6.82\n", " Uninstalling nvidia-curand-cu12-10.3.6.82:\n", " Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n", " Attempting uninstall: nvidia-cufft-cu12\n", " Found existing installation: nvidia-cufft-cu12 11.2.3.61\n", " Uninstalling nvidia-cufft-cu12-11.2.3.61:\n", " Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n", " Attempting uninstall: nvidia-cuda-runtime-cu12\n", " Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n", " Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n", " Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n", " Attempting uninstall: nvidia-cuda-nvrtc-cu12\n", " Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n", " Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n", " Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n", " Attempting uninstall: nvidia-cuda-cupti-cu12\n", " Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n", " Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n", " Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n", " Attempting uninstall: nvidia-cublas-cu12\n", " Found existing installation: nvidia-cublas-cu12 12.5.3.2\n", " Uninstalling nvidia-cublas-cu12-12.5.3.2:\n", " Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n", " Attempting uninstall: nvidia-cusparse-cu12\n", " Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n", " Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n", " Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n", " Attempting uninstall: nvidia-cudnn-cu12\n", " Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n", " Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n", " Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n", " Attempting uninstall: nvidia-cusolver-cu12\n", " Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n", " Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n", " Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n", "Successfully installed nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127\n" ] } ] }, { "cell_type": "code", "source": [ "import os\n", "#this just installs bert locally\n", "!mkdir -p /content/bert_temp\n", "!wget https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin -P /content/bert_temp\n", "!wget https://huggingface.co/bert-base-uncased/resolve/main/config.json -P /content/bert_temp\n", "!wget https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt -P /content/bert_temp" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-X-6U4fMGKBk", "outputId": "a9e60262-6770-432d-cd4e-a9ba5015480e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "--2025-06-24 04:01:05-- https://huggingface.co/bert-base-uncased/resolve/main/pytorch_model.bin\n", "Resolving huggingface.co (huggingface.co)... 3.163.189.74, 3.163.189.90, 3.163.189.114, ...\n", "Connecting to huggingface.co (huggingface.co)|3.163.189.74|:443... connected.\n", "HTTP request sent, awaiting response... 302 Found\n", "Location: 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"code", "source": [ "import pandas as pd\n", "import torch\n", "import numpy as np\n", "from sklearn.model_selection import train_test_split\n", "from sklearn.metrics import classification_report, f1_score, precision_score, recall_score\n", "from transformers import BertTokenizer, BertForSequenceClassification, Trainer, TrainingArguments\n", "from transformers import DataCollatorWithPadding\n", "from datasets import Dataset\n", "import warnings\n", "\n", "\n", "warnings.filterwarnings('ignore')\n", "\n", "\n", "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n", "print(f\"Using device: {device}\")\n", "\n", "# input\n", "try:\n", " df = pd.read_csv(\"/content/drive/MyDrive/MIT PROJECT 2/Proper_Dataset.csv\")\n", " print(\"Data loaded successfully!\")\n", " print(f\"Dataset shape: {df.shape}\")\n", " print(f\"Label distribution before mapping:\\n{df['label'].value_counts()}\")\n", "\n", " #we got one clm here...\n", " df['content'] = df['text']\n", " df['label'] = df['label'].map({'FAKE': 0, 'REAL': 1})\n", "\n", " #ensuring num of real and fake rows havent chnaged\n", " print(f\"Label distribution after mapping:\\n{df['label'].value_counts()}\")\n", "\n", " # spllttin dataset for train-test(80:20)\n", " train_df, test_df = train_test_split(\n", " df[['content', 'label']],\n", " test_size=0.2,\n", " stratify=df['label'],\n", " random_state=42\n", " )\n", "\n", " train_dataset = Dataset.from_pandas(train_df.reset_index(drop=True))\n", " test_dataset = Dataset.from_pandas(test_df.reset_index(drop=True))\n", "\n", " print(f\"Train size: {len(train_dataset)}, Test size: {len(test_dataset)}\")\n", "\n", "except Exception as e:\n", " print(f\"Error loading data: {e}\")\n", " raise\n", "\n", "# loads a BERT tokenizer and uses it to tokenize a dataset\n", "try:\n", " print(\"Loading tokenizer...\")\n", " tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')\n", "\n", " def tokenize_function(examples):\n", " return tokenizer(examples[\"content\"], truncation=True, max_length=512, padding='max_length')\n", "\n", " print(\"Tokenizing train set...\")\n", " train_dataset = train_dataset.map(tokenize_function, batched=True)\n", " print(\"Tokenizing test set...\")\n", " test_dataset = test_dataset.map(tokenize_function, batched=True)\n", "\n", " print(\"Tokenization complete!\")\n", "except Exception as e:\n", " print(f\"Error during tokenization: {e}\")\n", " raise\n", "\n", "\n", "num_fake = 43391\n", "num_real = 64641\n", "#above 2 lines r the number of fake news and real news. since they r imbalanced, weight is added below\n", "total = num_fake + num_real\n", "\n", "weights = torch.tensor([\n", " total / (2 * num_fake),\n", " total / (2 * num_real)\n", "], dtype=torch.float32).to(device)\n", "\n", "print(f\"Class weights: {weights}\")\n", "\n", "#loadin model frm local space\n", "try:\n", " print(\"Loading model...\")\n", " model = BertForSequenceClassification.from_pretrained(\n", " \"./bert_temp\",\n", " num_labels=2\n", " ).to(device)\n", " print(\"Model loaded successfully from local files!\")\n", "except Exception as e:\n", " print(f\"Error loading model: {e}\")\n", " raise\n", "\n", "# Custom Trainer with weighted loss\n", "class WeightedTrainer(Trainer):\n", " def compute_loss(self, model, inputs, return_outputs=False, **kwargs):\n", " if 'num_items_in_batch' in kwargs:\n", " _ = kwargs.pop('num_items_in_batch')\n", " labels = inputs.get(\"labels\")\n", " outputs = model(**inputs)\n", " logits = outputs.get('logits')\n", " loss_fct = torch.nn.CrossEntropyLoss(weight=weights)\n", " loss = loss_fct(logits.view(-1, 2), labels.view(-1))\n", " return (loss, outputs) if return_outputs else loss\n", "\n", "# Training args\n", "training_args = TrainingArguments(\n", " output_dir=\"./results\",\n", " eval_strategy=\"no\",\n", " save_strategy=\"epoch\",\n", " num_train_epochs=4,\n", " per_device_train_batch_size=8,\n", " per_device_eval_batch_size=16,\n", " learning_rate=2e-5,\n", " weight_decay=0.01,\n", " load_best_model_at_end=False,\n", " logging_dir=\"./logs\",\n", " logging_steps=10,\n", " fp16=True,\n", " report_to=\"none\",\n", " save_total_limit=2,\n", " seed=42\n", ")\n", "\n", "# Metrics function\n", "def compute_metrics(eval_pred):\n", " logits, labels = eval_pred\n", " preds = np.argmax(logits, axis=-1)\n", " return {\n", " \"accuracy\": (preds == labels).mean(),\n", " \"f1\": f1_score(labels, preds, average=\"weighted\"),\n", " \"precision\": precision_score(labels, preds, average=\"weighted\"),\n", " \"recall\": recall_score(labels, preds, average=\"weighted\")\n", " }\n", "\n", "\n", "data_collator = DataCollatorWithPadding(tokenizer=tokenizer)#will make sure all inputs in a batch are the same length by padding them but only as much as needed\n", "\n", "try:\n", " print(\"Initializing trainer...\")\n", " trainer = WeightedTrainer(\n", " model=model,\n", " args=training_args,\n", " train_dataset=train_dataset,\n", " eval_dataset=test_dataset,\n", " compute_metrics=compute_metrics,\n", " data_collator=data_collator\n", " )\n", "\n", " print(\"Starting training...\")\n", " train_results = trainer.train()\n", "\n", " # Savin thge model\n", " print(\"Training complete! Saving model...\")\n", " trainer.save_model(\"/content/drive/MyDrive/MIT PROJECT 2/fake_news_bert_model\")\n", " tokenizer.save_pretrained(\"/content/drive/MyDrive/MIT PROJECT 2/fake_news_bert_model\")\n", " print(\"Model saved successfully!\")\n", "\n", "\n", " print(\"Final evaluation on test data:\")\n", " metrics = trainer.evaluate()\n", " print(metrics)\n", "\n", "except Exception as e:\n", " print(f\"Error during training: {e}\")\n", " raise" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000, "referenced_widgets": [ "84552219c8e5403789c915bb1b376e70", "ccba7f6d5d2b47a69228239a6f078e66", "3236fe971daa4059bb6832a992386043", "5cdd624accd5450bb4445c4398427d02", "1b53ce62f9b149a18f649df87ff23d37", "a4f5a31a724f42d99b183ce8f1b85fd1", "cfb8da56a6ec42c59f9310464ab27103", "dec1aa9f4a1d4fe8a0ac64889cc41954", "3ab82e41d00549bebd0a7807917c9bbf", "ce332063c5d1491cacbed80ec565ce37", "799efb4fbbe24703803cc825a1098f50", "f9693f613a294678aa6c6aaa0baecf12", "8a704d74f4aa4aef88f40275b11fcb8e", "20668c333f2c4a2b8482c7d299933117", "8952ee2759954ca992ff816c1eafc22b", "2884610ddce74b538ba45d68b45a3c17", "428349b41dc54bfeb09fd91183b60cde", "8183c82541124a19af3694b1c05014b7", "e67261da139642eca2c865429846301b", "85c7eb4f0aec4b6b81d5ce41d4099d76", "90d9c99130af4d15a7fac9de1d87ca41", "f31c0b2463504944acf9673592b598de", "1efd487db475444f9168c20ba61fcd61", "a31e6dd808ac4438a3b3bd532548f1fe", "6f9d8bf39bba417d8189e7f2a87a99b9", "7fc7d8d70c194688b9a6a52fbd6340cb", "8be157f9427f4c098734d326e9bb4b00", "45ab4f063f3d43dc86fe3905a005b174", "377d4e1576294294b318e1260136408f", "83540863a39b4e19be6965ba8879c9dd", "dd89b8a64ecf49b3b6b69e5b98fe1d9e", "331414e732f54580a0b9f4442328b90d", "ceb0333d8d3840d58c3cc79f929fe9fc", "d84c511f45aa408d9738875d0aee1571", "d04446ba387b4740a4871adc8d2894d6", "d265d4e4909847e3b5eef7a08b0662e8", "b3643a7970444668931297c4d831370f", "ec72b0afb4b84775a9763f7f50f9bf15", "519e48d31fbf483d830d2170a6348953", "fd79b62bc2834222a3d9a81176e3a6d3", "0d98babd0b974f15bec430739db09433", "df441c97fed34791a4af08487517e73a", "a202d395199d4f969b6d8c8016306997", "98aeb58042cf43d7a6e94616004050f6", "75d28505a95546c08deeb5acd5f1672e", "38ef7c373baf46eea20212a88e5494b6", "258881e00c5d499f91940f6a1086d355", "ce5ab560370e467aab0eeb91e624cd48", "a5f68943e90b4184bffec5d6ce2fe988", "d3435dfbf85349828e59c16bb3351955", "6a5dcf05bc164883b686accd3e07ef24", "cbe16d3b10c4494e8a6337e02ee10547", "fc4ba0e4383b49658cbefb65d0f42cc3", "c0a130e74b1741ec8bf49d5b47600eca", "58b55ab45b0a475499686a3731a864ef", "4b1a3ff9a3084e4e9495a84daa9fab34", "f745357f0cf44474a000234f5b6382b4", "c0b146f2eed54f68b9c4b53f9732545c", "9482c9950ad7454c80ea7c06e6bdfa21", "938e85587e0f4a638e002cb498a80456", "6b0b6611944349a4bd6f184f5219bac8", "f0cf0860c6484d0d8f16362156055b11", "8c7bb251a8d0486bb11dbefdd91471b2", "2d7b0886b7074f1bbf69d167c7fdfd4c", "6a85336ecdc34385b35fa8f357d7131a", "9ecd41b7339543e8ad94ba2229b53a51" ] }, "id": "KdwDWWWXGRKl", "outputId": "db1659b0-a65f-4a6f-8980-b5a35049e1a4" }, "execution_count": null, "outputs": [ { "metadata": { "tags": null }, "name": "stdout", "output_type": "stream", "text": [ "Using device: cuda\n", "Data loaded successfully!\n", "Dataset shape: (108032, 2)\n", "Label distribution before mapping:\n", "label\n", "REAL 64641\n", "FAKE 43391\n", "Name: count, dtype: int64\n", "Label distribution after mapping:\n", "label\n", "1 64641\n", "0 43391\n", "Name: count, dtype: int64\n", "Train size: 86425, Test size: 21607\n", "Loading tokenizer...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "84552219c8e5403789c915bb1b376e70", "version_major": 2, "version_minor": 0 }, "text/plain": [ "tokenizer_config.json: 0%| | 0.00/48.0 [00:00, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f9693f613a294678aa6c6aaa0baecf12", "version_major": 2, "version_minor": 0 }, "text/plain": [ "vocab.txt: 0%| | 0.00/232k [00:00, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "1efd487db475444f9168c20ba61fcd61", "version_major": 2, "version_minor": 0 }, "text/plain": [ "tokenizer.json: 0%| | 0.00/466k [00:00, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d84c511f45aa408d9738875d0aee1571", "version_major": 2, "version_minor": 0 }, "text/plain": [ "config.json: 0%| | 0.00/570 [00:00, ?B/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "metadata": { "tags": null }, "name": "stdout", "output_type": "stream", "text": [ "Tokenizing train set...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "75d28505a95546c08deeb5acd5f1672e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map: 0%| | 0/86425 [00:00, ? examples/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "metadata": { "tags": null }, "name": "stdout", "output_type": "stream", "text": [ "Tokenizing test set...\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4b1a3ff9a3084e4e9495a84daa9fab34", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Map: 0%| | 0/21607 [00:00, ? examples/s]" ] }, "metadata": {}, "output_type": "display_data" }, { "metadata": { "tags": null }, "name": "stdout", "output_type": "stream", "text": [ "Tokenization complete!\n", "Class weights: tensor([1.2449, 0.8356], device='cuda:0')\n", "Loading model...\n" ] }, { "metadata": { "tags": null }, "name": "stderr", "output_type": "stream", "text": [ "Some weights of BertForSequenceClassification were not initialized from the model checkpoint at ./bert_temp and are newly initialized: ['classifier.bias', 'classifier.weight']\n", "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n" ] }, { "metadata": { "tags": null }, "name": "stdout", "output_type": "stream", "text": [ "Model loaded successfully from local files!\n", "Initializing trainer...\n", "Starting training...\n" ] }, { "data": { "text/html": [ "\n", "
| Step | \n", "Training Loss | \n", "
|---|---|
| 10 | \n", "0.665000 | \n", "
| 20 | \n", "0.687400 | \n", "
| 30 | \n", "0.566000 | \n", "
| 40 | \n", "0.516400 | \n", "
| 50 | \n", "0.406500 | \n", "
| 60 | \n", "0.354700 | \n", "
| 70 | \n", "0.267600 | \n", "
| 80 | \n", "0.236800 | \n", "
| 90 | \n", "0.227700 | \n", "
| 100 | \n", "0.189200 | \n", "
| 110 | \n", "0.162900 | \n", "
| 120 | \n", "0.155700 | \n", "
| 130 | \n", "0.259900 | \n", "
| 140 | \n", "0.142200 | \n", "
| 150 | \n", "0.227400 | \n", "
| 160 | \n", "0.154500 | \n", "
| 170 | \n", "0.213200 | \n", "
| 180 | \n", "0.121500 | \n", "
| 190 | \n", "0.231500 | \n", "
| 200 | \n", "0.059900 | \n", "
| 210 | \n", "0.251700 | \n", "
| 220 | \n", "0.298800 | \n", "
| 230 | \n", "0.090800 | \n", "
| 240 | \n", "0.113300 | \n", "
| 250 | \n", "0.025700 | \n", "
| 260 | \n", "0.249600 | \n", "
| 270 | \n", "0.304600 | \n", "
| 280 | \n", "0.010700 | \n", "
| 290 | \n", "0.340200 | \n", "
| 300 | \n", "0.502400 | \n", "
| 310 | \n", "0.073400 | \n", "
| 320 | \n", "0.194600 | \n", "
| 330 | \n", "0.079100 | \n", "
| 340 | \n", "0.196500 | \n", "
| 350 | \n", "0.198800 | \n", "
| 360 | \n", "0.096600 | \n", "
| 370 | \n", "0.137600 | \n", "
| 380 | \n", "0.256700 | \n", "
| 390 | \n", "0.145300 | \n", "
| 400 | \n", "0.213100 | \n", "
| 410 | \n", "0.202600 | \n", "
| 420 | \n", "0.069300 | \n", "
| 430 | \n", "0.218500 | \n", "
| 440 | \n", "0.219300 | \n", "
| 450 | \n", "0.264200 | \n", "
| 460 | \n", "0.118400 | \n", "
| 470 | \n", "0.187600 | \n", "
| 480 | \n", "0.210100 | \n", "
| 490 | \n", "0.279500 | \n", "
| 500 | \n", "0.272700 | \n", "
| 510 | \n", "0.161900 | \n", "
| 520 | \n", "0.263200 | \n", "
| 530 | \n", "0.093700 | \n", "
| 540 | \n", "0.246900 | \n", "
| 550 | \n", "0.109500 | \n", "
| 560 | \n", "0.284800 | \n", "
| 570 | \n", "0.120100 | \n", "
| 580 | \n", "0.313800 | \n", "
| 590 | \n", "0.192700 | \n", "
| 600 | \n", "0.317500 | \n", "
| 610 | \n", "0.007000 | \n", "
| 620 | \n", "0.108000 | \n", "
| 630 | \n", "0.213700 | \n", "
| 640 | \n", "0.072200 | \n", "
| 650 | \n", "0.204500 | \n", "
| 660 | \n", "0.242800 | \n", "
| 670 | \n", "0.126700 | \n", "
| 680 | \n", "0.351000 | \n", "
| 690 | \n", "0.239400 | \n", "
| 700 | \n", "0.195600 | \n", "
| 710 | \n", "0.050900 | \n", "
| 720 | \n", "0.135700 | \n", "
| 730 | \n", "0.144200 | \n", "
| 740 | \n", "0.058100 | \n", "
| 750 | \n", "0.050300 | \n", "
| 760 | \n", "0.337600 | \n", "
| 770 | \n", "0.119800 | \n", "
| 780 | \n", "0.175600 | \n", "
| 790 | \n", "0.251800 | \n", "
| 800 | \n", "0.055800 | \n", "
| 810 | \n", "0.135700 | \n", "
| 820 | \n", "0.004300 | \n", "
| 830 | \n", "0.282500 | \n", "
| 840 | \n", "0.291200 | \n", "
| 850 | \n", "0.079700 | \n", "
| 860 | \n", "0.321600 | \n", "
| 870 | \n", "0.010200 | \n", "
| 880 | \n", "0.102500 | \n", "
| 890 | \n", "0.166200 | \n", "
| 900 | \n", "0.149300 | \n", "
| 910 | \n", "0.334700 | \n", "
| 920 | \n", "0.143100 | \n", "
| 930 | \n", "0.054800 | \n", "
| 940 | \n", "0.037800 | \n", "
| 950 | \n", "0.081400 | \n", "
| 960 | \n", "0.199700 | \n", "
| 970 | \n", "0.298600 | \n", "
| 980 | \n", "0.037800 | \n", "
| 990 | \n", "0.076200 | \n", "
| 1000 | \n", "0.001400 | \n", "
| 1010 | \n", "0.171300 | \n", "
| 1020 | \n", "0.181900 | \n", "
| 1030 | \n", "0.081200 | \n", "
| 1040 | \n", "0.144900 | \n", "
| 1050 | \n", "0.161900 | \n", "
| 1060 | \n", "0.109900 | \n", "
| 1070 | \n", "0.042700 | \n", "
| 1080 | \n", "0.056300 | \n", "
| 1090 | \n", "0.162200 | \n", "
| 1100 | \n", "0.216000 | \n", "
| 1110 | \n", "0.154800 | \n", "
| 1120 | \n", "0.150200 | \n", "
| 1130 | \n", "0.254000 | \n", "
| 1140 | \n", "0.003900 | \n", "
| 1150 | \n", "0.172800 | \n", "
| 1160 | \n", "0.409500 | \n", "
| 1170 | \n", "0.017300 | \n", "
| 1180 | \n", "0.049400 | \n", "
| 1190 | \n", "0.228800 | \n", "
| 1200 | \n", "0.270700 | \n", "
| 1210 | \n", "0.278000 | \n", "
| 1220 | \n", "0.321400 | \n", "
| 1230 | \n", "0.023700 | \n", "
| 1240 | \n", "0.071300 | \n", "
| 1250 | \n", "0.155700 | \n", "
| 1260 | \n", "0.164400 | \n", "
| 1270 | \n", "0.048200 | \n", "
| 1280 | \n", "0.201300 | \n", "
| 1290 | \n", "0.108400 | \n", "
| 1300 | \n", "0.149000 | \n", "
| 1310 | \n", "0.057500 | \n", "
| 1320 | \n", "0.004600 | \n", "
| 1330 | \n", "0.003100 | \n", "
| 1340 | \n", "0.087000 | \n", "
| 1350 | \n", "0.002800 | \n", "
| 1360 | \n", "0.139600 | \n", "
| 1370 | \n", "0.057600 | \n", "
| 1380 | \n", "0.121700 | \n", "
| 1390 | \n", "0.091400 | \n", "
| 1400 | \n", "0.241200 | \n", "
| 1410 | \n", "0.406400 | \n", "
| 1420 | \n", "0.077300 | \n", "
| 1430 | \n", "0.007900 | \n", "
| 1440 | \n", "0.174600 | \n", "
| 1450 | \n", "0.301000 | \n", "
| 1460 | \n", "0.105300 | \n", "
| 1470 | \n", "0.353800 | \n", "
| 1480 | \n", "0.104600 | \n", "
| 1490 | \n", "0.212200 | \n", "
| 1500 | \n", "0.196300 | \n", "
| 1510 | \n", "0.132600 | \n", "
| 1520 | \n", "0.087600 | \n", "
| 1530 | \n", "0.126300 | \n", "
| 1540 | \n", "0.125200 | \n", "
| 1550 | \n", "0.022100 | \n", "
| 1560 | \n", "0.110600 | \n", "
| 1570 | \n", "0.160500 | \n", "
| 1580 | \n", "0.003100 | \n", "
| 1590 | \n", "0.054900 | \n", "
| 1600 | \n", "0.075500 | \n", "
| 1610 | \n", "0.231500 | \n", "
| 1620 | \n", "0.102100 | \n", "
| 1630 | \n", "0.053200 | \n", "
| 1640 | \n", "0.143400 | \n", "
| 1650 | \n", "0.285700 | \n", "
| 1660 | \n", "0.081300 | \n", "
| 1670 | \n", "0.126400 | \n", "
| 1680 | \n", "0.029500 | \n", "
| 1690 | \n", "0.163000 | \n", "
| 1700 | \n", "0.003800 | \n", "
| 1710 | \n", "0.318300 | \n", "
| 1720 | \n", "0.003000 | \n", "
| 1730 | \n", "0.114800 | \n", "
| 1740 | \n", "0.081600 | \n", "
| 1750 | \n", "0.119000 | \n", "
| 1760 | \n", "0.140700 | \n", "
| 1770 | \n", "0.090300 | \n", "
| 1780 | \n", "0.124000 | \n", "
| 1790 | \n", "0.062800 | \n", "
| 1800 | \n", "0.108900 | \n", "
| 1810 | \n", "0.146700 | \n", "
| 1820 | \n", "0.083200 | \n", "
| 1830 | \n", "0.152000 | \n", "
| 1840 | \n", "0.003800 | \n", "
| 1850 | \n", "0.147800 | \n", "
| 1860 | \n", "0.236800 | \n", "
| 1870 | \n", "0.180700 | \n", "
| 1880 | \n", "0.086600 | \n", "
| 1890 | \n", "0.203600 | \n", "
| 1900 | \n", "0.052900 | \n", "
| 1910 | \n", "0.146300 | \n", "
| 1920 | \n", "0.254600 | \n", "
| 1930 | \n", "0.104500 | \n", "
| 1940 | \n", "0.265200 | \n", "
| 1950 | \n", "0.084200 | \n", "
| 1960 | \n", "0.005400 | \n", "
| 1970 | \n", "0.332900 | \n", "
| 1980 | \n", "0.204700 | \n", "
| 1990 | \n", "0.343700 | \n", "
| 2000 | \n", "0.038100 | \n", "
| 2010 | \n", "0.098500 | \n", "
| 2020 | \n", "0.088800 | \n", "
| 2030 | \n", "0.084500 | \n", "
| 2040 | \n", "0.096500 | \n", "
| 2050 | \n", "0.067000 | \n", "
| 2060 | \n", "0.032800 | \n", "
| 2070 | \n", "0.320900 | \n", "
| 2080 | \n", "0.001400 | \n", "
| 2090 | \n", "0.009100 | \n", "
| 2100 | \n", "0.016100 | \n", "
| 2110 | \n", "0.144300 | \n", "
| 2120 | \n", "0.204700 | \n", "
| 2130 | \n", "0.064100 | \n", "
| 2140 | \n", "0.182200 | \n", "
| 2150 | \n", "0.146800 | \n", "
| 2160 | \n", "0.286000 | \n", "
| 2170 | \n", "0.087300 | \n", "
| 2180 | \n", "0.116300 | \n", "
| 2190 | \n", "0.140400 | \n", "
| 2200 | \n", "0.015200 | \n", "
| 2210 | \n", "0.008000 | \n", "
| 2220 | \n", "0.240700 | \n", "
| 2230 | \n", "0.265500 | \n", "
| 2240 | \n", "0.070800 | \n", "
| 2250 | \n", "0.107800 | \n", "
| 2260 | \n", "0.088800 | \n", "
| 2270 | \n", "0.228400 | \n", "
| 2280 | \n", "0.211700 | \n", "
| 2290 | \n", "0.109100 | \n", "
| 2300 | \n", "0.127200 | \n", "
| 2310 | \n", "0.148300 | \n", "
| 2320 | \n", "0.013500 | \n", "
| 2330 | \n", "0.122900 | \n", "
| 2340 | \n", "0.125100 | \n", "
| 2350 | \n", "0.142000 | \n", "
| 2360 | \n", "0.002600 | \n", "
| 2370 | \n", "0.277600 | \n", "
| 2380 | \n", "0.001500 | \n", "
| 2390 | \n", "0.116700 | \n", "
| 2400 | \n", "0.044600 | \n", "
| 2410 | \n", "0.263800 | \n", "
| 2420 | \n", "0.117800 | \n", "
| 2430 | \n", "0.065800 | \n", "
| 2440 | \n", "0.084000 | \n", "
| 2450 | \n", "0.111600 | \n", "
| 2460 | \n", "0.201400 | \n", "
| 2470 | \n", "0.177800 | \n", "
| 2480 | \n", "0.162400 | \n", "
| 2490 | \n", "0.109400 | \n", "
| 2500 | \n", "0.004500 | \n", "
| 2510 | \n", "0.186800 | \n", "
| 2520 | \n", "0.149500 | \n", "
| 2530 | \n", "0.011900 | \n", "
| 2540 | \n", "0.055000 | \n", "
| 2550 | \n", "0.129400 | \n", "
| 2560 | \n", "0.072500 | \n", "
| 2570 | \n", "0.029900 | \n", "
| 2580 | \n", "0.116200 | \n", "
| 2590 | \n", "0.011800 | \n", "
| 2600 | \n", "0.102000 | \n", "
| 2610 | \n", "0.198700 | \n", "
| 2620 | \n", "0.044700 | \n", "
| 2630 | \n", "0.146100 | \n", "
| 2640 | \n", "0.057700 | \n", "
| 2650 | \n", "0.117400 | \n", "
| 2660 | \n", "0.185900 | \n", "
| 2670 | \n", "0.098200 | \n", "
| 2680 | \n", "0.133400 | \n", "
| 2690 | \n", "0.006400 | \n", "
| 2700 | \n", "0.023200 | \n", "
| 2710 | \n", "0.283400 | \n", "
| 2720 | \n", "0.155300 | \n", "
| 2730 | \n", "0.243100 | \n", "
| 2740 | \n", "0.015900 | \n", "
| 2750 | \n", "0.074100 | \n", "
| 2760 | \n", "0.284500 | \n", "
| 2770 | \n", "0.093100 | \n", "
| 2780 | \n", "0.060900 | \n", "
| 2790 | \n", "0.006200 | \n", "
| 2800 | \n", "0.144700 | \n", "
| 2810 | \n", "0.165100 | \n", "
| 2820 | \n", "0.018100 | \n", "
| 2830 | \n", "0.079700 | \n", "
| 2840 | \n", "0.131900 | \n", "
| 2850 | \n", "0.091900 | \n", "
| 2860 | \n", "0.163600 | \n", "
| 2870 | \n", "0.186300 | \n", "
| 2880 | \n", "0.116200 | \n", "
| 2890 | \n", "0.087500 | \n", "
| 2900 | \n", "0.006100 | \n", "
| 2910 | \n", "0.063800 | \n", "
| 2920 | \n", "0.034100 | \n", "
| 2930 | \n", "0.005700 | \n", "
| 2940 | \n", "0.049500 | \n", "
| 2950 | \n", "0.184100 | \n", "
| 2960 | \n", "0.069200 | \n", "
| 2970 | \n", "0.084500 | \n", "
| 2980 | \n", "0.389800 | \n", "
| 2990 | \n", "0.121000 | \n", "
| 3000 | \n", "0.102900 | \n", "
| 3010 | \n", "0.091000 | \n", "
| 3020 | \n", "0.054600 | \n", "
| 3030 | \n", "0.314900 | \n", "
| 3040 | \n", "0.135000 | \n", "
| 3050 | \n", "0.097500 | \n", "
| 3060 | \n", "0.041500 | \n", "
| 3070 | \n", "0.130300 | \n", "
| 3080 | \n", "0.078100 | \n", "
| 3090 | \n", "0.160900 | \n", "
| 3100 | \n", "0.136000 | \n", "
| 3110 | \n", "0.119100 | \n", "
| 3120 | \n", "0.036000 | \n", "
| 3130 | \n", "0.012200 | \n", "
| 3140 | \n", "0.162400 | \n", "
| 3150 | \n", "0.080800 | \n", "
| 3160 | \n", "0.115500 | \n", "
| 3170 | \n", "0.128900 | \n", "
| 3180 | \n", "0.091000 | \n", "
| 3190 | \n", "0.079700 | \n", "
| 3200 | \n", "0.153700 | \n", "
| 3210 | \n", "0.102600 | \n", "
| 3220 | \n", "0.085300 | \n", "
| 3230 | \n", "0.140600 | \n", "
| 3240 | \n", "0.099900 | \n", "
| 3250 | \n", "0.079000 | \n", "
| 3260 | \n", "0.001800 | \n", "
| 3270 | \n", "0.113800 | \n", "
| 3280 | \n", "0.181600 | \n", "
| 3290 | \n", "0.148000 | \n", "
| 3300 | \n", "0.183900 | \n", "
| 3310 | \n", "0.120000 | \n", "
| 3320 | \n", "0.092500 | \n", "
| 3330 | \n", "0.089000 | \n", "
| 3340 | \n", "0.074700 | \n", "
| 3350 | \n", "0.001600 | \n", "
| 3360 | \n", "0.001400 | \n", "
| 3370 | \n", "0.134000 | \n", "
| 3380 | \n", "0.149000 | \n", "
| 3390 | \n", "0.346500 | \n", "
| 3400 | \n", "0.002300 | \n", "
| 3410 | \n", "0.162800 | \n", "
| 3420 | \n", "0.163800 | \n", "
| 3430 | \n", "0.160800 | \n", "
| 3440 | \n", "0.072400 | \n", "
| 3450 | \n", "0.107000 | \n", "
| 3460 | \n", "0.188100 | \n", "
| 3470 | \n", "0.018900 | \n", "
| 3480 | \n", "0.006300 | \n", "
| 3490 | \n", "0.049900 | \n", "
| 3500 | \n", "0.195400 | \n", "
| 3510 | \n", "0.171400 | \n", "
| 3520 | \n", "0.204800 | \n", "
| 3530 | \n", "0.126400 | \n", "
| 3540 | \n", "0.045700 | \n", "
| 3550 | \n", "0.215800 | \n", "
| 3560 | \n", "0.127100 | \n", "
| 3570 | \n", "0.082700 | \n", "
| 3580 | \n", "0.107600 | \n", "
| 3590 | \n", "0.102500 | \n", "
| 3600 | \n", "0.048600 | \n", "
| 3610 | \n", "0.004100 | \n", "
| 3620 | \n", "0.079600 | \n", "
| 3630 | \n", "0.105700 | \n", "
| 3640 | \n", "0.155900 | \n", "
| 3650 | \n", "0.005900 | \n", "
| 3660 | \n", "0.149700 | \n", "
| 3670 | \n", "0.063100 | \n", "
| 3680 | \n", "0.376600 | \n", "
| 3690 | \n", "0.034000 | \n", "
| 3700 | \n", "0.131900 | \n", "
| 3710 | \n", "0.168300 | \n", "
| 3720 | \n", "0.135700 | \n", "
| 3730 | \n", "0.122300 | \n", "
| 3740 | \n", "0.032600 | \n", "
| 3750 | \n", "0.003900 | \n", "
| 3760 | \n", "0.266500 | \n", "
| 3770 | \n", "0.175600 | \n", "
| 3780 | \n", "0.258400 | \n", "
| 3790 | \n", "0.053200 | \n", "
| 3800 | \n", "0.088100 | \n", "
| 3810 | \n", "0.142500 | \n", "
| 3820 | \n", "0.179000 | \n", "
| 3830 | \n", "0.086100 | \n", "
| 3840 | \n", "0.162800 | \n", "
| 3850 | \n", "0.300700 | \n", "
| 3860 | \n", "0.018100 | \n", "
| 3870 | \n", "0.146300 | \n", "
| 3880 | \n", "0.051200 | \n", "
| 3890 | \n", "0.038700 | \n", "
| 3900 | \n", "0.145200 | \n", "
| 3910 | \n", "0.079000 | \n", "
| 3920 | \n", "0.137500 | \n", "
| 3930 | \n", "0.176900 | \n", "
| 3940 | \n", "0.063400 | \n", "
| 3950 | \n", "0.232000 | \n", "
| 3960 | \n", "0.112400 | \n", "
| 3970 | \n", "0.449300 | \n", "
| 3980 | \n", "0.131000 | \n", "
| 3990 | \n", "0.114300 | \n", "
| 4000 | \n", "0.103400 | \n", "
| 4010 | \n", "0.224300 | \n", "
| 4020 | \n", "0.114200 | \n", "
| 4030 | \n", "0.173500 | \n", "
| 4040 | \n", "0.005600 | \n", "
| 4050 | \n", "0.040200 | \n", "
| 4060 | \n", "0.041000 | \n", "
| 4070 | \n", "0.097400 | \n", "
| 4080 | \n", "0.264100 | \n", "
| 4090 | \n", "0.212300 | \n", "
| 4100 | \n", "0.148900 | \n", "
| 4110 | \n", "0.126900 | \n", "
| 4120 | \n", "0.049800 | \n", "
| 4130 | \n", "0.074300 | \n", "
| 4140 | \n", "0.028000 | \n", "
| 4150 | \n", "0.006500 | \n", "
| 4160 | \n", "0.153700 | \n", "
| 4170 | \n", "0.132300 | \n", "
| 4180 | \n", "0.142600 | \n", "
| 4190 | \n", "0.004300 | \n", "
| 4200 | \n", "0.220100 | \n", "
| 4210 | \n", "0.177500 | \n", "
| 4220 | \n", "0.184900 | \n", "
| 4230 | \n", "0.003300 | \n", "
| 4240 | \n", "0.055800 | \n", "
| 4250 | \n", "0.010400 | \n", "
| 4260 | \n", "0.090200 | \n", "
| 4270 | \n", "0.117200 | \n", "
| 4280 | \n", "0.095700 | \n", "
| 4290 | \n", "0.092000 | \n", "
| 4300 | \n", "0.071900 | \n", "
| 4310 | \n", "0.009000 | \n", "
| 4320 | \n", "0.124700 | \n", "
| 4330 | \n", "0.084400 | \n", "
| 4340 | \n", "0.118200 | \n", "
| 4350 | \n", "0.003300 | \n", "
| 4360 | \n", "0.035100 | \n", "
| 4370 | \n", "0.002000 | \n", "
| 4380 | \n", "0.316900 | \n", "
| 4390 | \n", "0.088100 | \n", "
| 4400 | \n", "0.366700 | \n", "
| 4410 | \n", "0.048800 | \n", "
| 4420 | \n", "0.269800 | \n", "
| 4430 | \n", "0.132700 | \n", "
| 4440 | \n", "0.165300 | \n", "
| 4450 | \n", "0.028200 | \n", "
| 4460 | \n", "0.197400 | \n", "
| 4470 | \n", "0.041500 | \n", "
| 4480 | \n", "0.130100 | \n", "
| 4490 | \n", "0.075800 | \n", "
| 4500 | \n", "0.127600 | \n", "
| 4510 | \n", "0.090100 | \n", "
| 4520 | \n", "0.243400 | \n", "
| 4530 | \n", "0.027900 | \n", "
| 4540 | \n", "0.029200 | \n", "
| 4550 | \n", "0.087600 | \n", "
| 4560 | \n", "0.158400 | \n", "
| 4570 | \n", "0.065200 | \n", "
| 4580 | \n", "0.230500 | \n", "
| 4590 | \n", "0.072100 | \n", "
| 4600 | \n", "0.089800 | \n", "
| 4610 | \n", "0.263500 | \n", "
| 4620 | \n", "0.282200 | \n", "
| 4630 | \n", "0.004900 | \n", "
| 4640 | \n", "0.025100 | \n", "
| 4650 | \n", "0.126600 | \n", "
| 4660 | \n", "0.157200 | \n", "
| 4670 | \n", "0.033400 | \n", "
| 4680 | \n", "0.061700 | \n", "
| 4690 | \n", "0.077000 | \n", "
| 4700 | \n", "0.145600 | \n", "
| 4710 | \n", "0.008100 | \n", "
| 4720 | \n", "0.003100 | \n", "
| 4730 | \n", "0.101200 | \n", "
| 4740 | \n", "0.220400 | \n", "
| 4750 | \n", "0.109000 | \n", "
| 4760 | \n", "0.064400 | \n", "
| 4770 | \n", "0.060600 | \n", "
| 4780 | \n", "0.187700 | \n", "
| 4790 | \n", "0.001900 | \n", "
| 4800 | \n", "0.004400 | \n", "
| 4810 | \n", "0.057100 | \n", "
| 4820 | \n", "0.043700 | \n", "
| 4830 | \n", "0.001100 | \n", "
| 4840 | \n", "0.009000 | \n", "
| 4850 | \n", "0.090900 | \n", "
| 4860 | \n", "0.094300 | \n", "
| 4870 | \n", "0.348900 | \n", "
| 4880 | \n", "0.047100 | \n", "
| 4890 | \n", "0.059500 | \n", "
| 4900 | \n", "0.011500 | \n", "
| 4910 | \n", "0.187200 | \n", "
| 4920 | \n", "0.081600 | \n", "
| 4930 | \n", "0.079200 | \n", "
| 4940 | \n", "0.149200 | \n", "
| 4950 | \n", "0.077100 | \n", "
| 4960 | \n", "0.121300 | \n", "
| 4970 | \n", "0.084000 | \n", "
| 4980 | \n", "0.187200 | \n", "
| 4990 | \n", "0.003100 | \n", "
| 5000 | \n", "0.193100 | \n", "
| 5010 | \n", "0.266900 | \n", "
| 5020 | \n", "0.155100 | \n", "
| 5030 | \n", "0.072500 | \n", "
| 5040 | \n", "0.004200 | \n", "
| 5050 | \n", "0.152600 | \n", "
| 5060 | \n", "0.076200 | \n", "
| 5070 | \n", "0.093400 | \n", "
| 5080 | \n", "0.001800 | \n", "
| 5090 | \n", "0.185500 | \n", "
| 5100 | \n", "0.094700 | \n", "
| 5110 | \n", "0.152000 | \n", "
| 5120 | \n", "0.215200 | \n", "
| 5130 | \n", "0.179100 | \n", "
| 5140 | \n", "0.111200 | \n", "
| 5150 | \n", "0.087800 | \n", "
| 5160 | \n", "0.180400 | \n", "
| 5170 | \n", "0.036000 | \n", "
| 5180 | \n", "0.084900 | \n", "
| 5190 | \n", "0.004000 | \n", "
| 5200 | \n", "0.143900 | \n", "
| 5210 | \n", "0.212700 | \n", "
| 5220 | \n", "0.051700 | \n", "
| 5230 | \n", "0.147700 | \n", "
| 5240 | \n", "0.067600 | \n", "
| 5250 | \n", "0.115500 | \n", "
| 5260 | \n", "0.042300 | \n", "
| 5270 | \n", "0.091300 | \n", "
| 5280 | \n", "0.051900 | \n", "
| 5290 | \n", "0.136400 | \n", "
| 5300 | \n", "0.124300 | \n", "
| 5310 | \n", "0.223300 | \n", "
| 5320 | \n", "0.073600 | \n", "
| 5330 | \n", "0.087100 | \n", "
| 5340 | \n", "0.005100 | \n", "
| 5350 | \n", "0.241800 | \n", "
| 5360 | \n", "0.053400 | \n", "
| 5370 | \n", "0.001900 | \n", "
| 5380 | \n", "0.172300 | \n", "
| 5390 | \n", "0.002100 | \n", "
| 5400 | \n", "0.001500 | \n", "
| 5410 | \n", "0.077800 | \n", "
| 5420 | \n", "0.149600 | \n", "
| 5430 | \n", "0.001700 | \n", "
| 5440 | \n", "0.089900 | \n", "
| 5450 | \n", "0.109800 | \n", "
| 5460 | \n", "0.173000 | \n", "
| 5470 | \n", "0.159000 | \n", "
| 5480 | \n", "0.097000 | \n", "
| 5490 | \n", "0.194500 | \n", "
| 5500 | \n", "0.149500 | \n", "
| 5510 | \n", "0.060400 | \n", "
| 5520 | \n", "0.094600 | \n", "
| 5530 | \n", "0.004000 | \n", "
| 5540 | \n", "0.136900 | \n", "
| 5550 | \n", "0.261600 | \n", "
| 5560 | \n", "0.055500 | \n", "
| 5570 | \n", "0.004100 | \n", "
| 5580 | \n", "0.304600 | \n", "
| 5590 | \n", "0.168900 | \n", "
| 5600 | \n", "0.155200 | \n", "
| 5610 | \n", "0.020800 | \n", "
| 5620 | \n", "0.107900 | \n", "
| 5630 | \n", "0.121900 | \n", "
| 5640 | \n", "0.207700 | \n", "
| 5650 | \n", "0.051000 | \n", "
| 5660 | \n", "0.131900 | \n", "
| 5670 | \n", "0.137900 | \n", "
| 5680 | \n", "0.092200 | \n", "
| 5690 | \n", "0.081100 | \n", "
| 5700 | \n", "0.064600 | \n", "
| 5710 | \n", "0.065300 | \n", "
| 5720 | \n", "0.074500 | \n", "
| 5730 | \n", "0.005000 | \n", "
| 5740 | \n", "0.113300 | \n", "
| 5750 | \n", "0.001500 | \n", "
| 5760 | \n", "0.002100 | \n", "
| 5770 | \n", "0.195500 | \n", "
| 5780 | \n", "0.000800 | \n", "
| 5790 | \n", "0.181300 | \n", "
| 5800 | \n", "0.148400 | \n", "
| 5810 | \n", "0.238500 | \n", "
| 5820 | \n", "0.064800 | \n", "
| 5830 | \n", "0.120400 | \n", "
| 5840 | \n", "0.075600 | \n", "
| 5850 | \n", "0.108400 | \n", "
| 5860 | \n", "0.100300 | \n", "
| 5870 | \n", "0.017400 | \n", "
| 5880 | \n", "0.114700 | \n", "
| 5890 | \n", "0.073700 | \n", "
| 5900 | \n", "0.172800 | \n", "
| 5910 | \n", "0.092200 | \n", "
| 5920 | \n", "0.076700 | \n", "
| 5930 | \n", "0.112500 | \n", "
| 5940 | \n", "0.039700 | \n", "
| 5950 | \n", "0.030900 | \n", "
| 5960 | \n", "0.005700 | \n", "
| 5970 | \n", "0.001700 | \n", "
| 5980 | \n", "0.037500 | \n", "
| 5990 | \n", "0.063800 | \n", "
| 6000 | \n", "0.071200 | \n", "
| 6010 | \n", "0.017200 | \n", "
| 6020 | \n", "0.208800 | \n", "
| 6030 | \n", "0.055300 | \n", "
| 6040 | \n", "0.005100 | \n", "
| 6050 | \n", "0.198200 | \n", "
| 6060 | \n", "0.070600 | \n", "
| 6070 | \n", "0.052900 | \n", "
| 6080 | \n", "0.107600 | \n", "
| 6090 | \n", "0.052900 | \n", "
| 6100 | \n", "0.021800 | \n", "
| 6110 | \n", "0.159500 | \n", "
| 6120 | \n", "0.001600 | \n", "
| 6130 | \n", "0.158000 | \n", "
| 6140 | \n", "0.003000 | \n", "
| 6150 | \n", "0.064200 | \n", "
| 6160 | \n", "0.089800 | \n", "
| 6170 | \n", "0.156500 | \n", "
| 6180 | \n", "0.157900 | \n", "
| 6190 | \n", "0.050100 | \n", "
| 6200 | \n", "0.175000 | \n", "
| 6210 | \n", "0.029300 | \n", "
| 6220 | \n", "0.096800 | \n", "
| 6230 | \n", "0.185800 | \n", "
| 6240 | \n", "0.115800 | \n", "
| 6250 | \n", "0.152100 | \n", "
| 6260 | \n", "0.072100 | \n", "
| 6270 | \n", "0.074700 | \n", "
| 6280 | \n", "0.256500 | \n", "
| 6290 | \n", "0.132600 | \n", "
| 6300 | \n", "0.272200 | \n", "
| 6310 | \n", "0.134300 | \n", "
| 6320 | \n", "0.102700 | \n", "
| 6330 | \n", "0.052400 | \n", "
| 6340 | \n", "0.089400 | \n", "
| 6350 | \n", "0.141200 | \n", "
| 6360 | \n", "0.003000 | \n", "
| 6370 | \n", "0.245900 | \n", "
| 6380 | \n", "0.078600 | \n", "
| 6390 | \n", "0.175200 | \n", "
| 6400 | \n", "0.043200 | \n", "
| 6410 | \n", "0.059700 | \n", "
| 6420 | \n", "0.189600 | \n", "
| 6430 | \n", "0.067600 | \n", "
| 6440 | \n", "0.052600 | \n", "
| 6450 | \n", "0.226000 | \n", "
| 6460 | \n", "0.108800 | \n", "
| 6470 | \n", "0.133900 | \n", "
| 6480 | \n", "0.005100 | \n", "
| 6490 | \n", "0.133200 | \n", "
| 6500 | \n", "0.176800 | \n", "
| 6510 | \n", "0.126800 | \n", "
| 6520 | \n", "0.049600 | \n", "
| 6530 | \n", "0.275800 | \n", "
| 6540 | \n", "0.003700 | \n", "
| 6550 | \n", "0.006400 | \n", "
| 6560 | \n", "0.195800 | \n", "
| 6570 | \n", "0.012900 | \n", "
| 6580 | \n", "0.001000 | \n", "
| 6590 | \n", "0.001100 | \n", "
| 6600 | \n", "0.077100 | \n", "
| 6610 | \n", "0.170900 | \n", "
| 6620 | \n", "0.142000 | \n", "
| 6630 | \n", "0.123300 | \n", "
| 6640 | \n", "0.153500 | \n", "
| 6650 | \n", "0.109300 | \n", "
| 6660 | \n", "0.063900 | \n", "
| 6670 | \n", "0.194500 | \n", "
| 6680 | \n", "0.067500 | \n", "
| 6690 | \n", "0.171000 | \n", "
| 6700 | \n", "0.250100 | \n", "
| 6710 | \n", "0.012400 | \n", "
| 6720 | \n", "0.086900 | \n", "
| 6730 | \n", "0.071300 | \n", "
| 6740 | \n", "0.078000 | \n", "
| 6750 | \n", "0.261400 | \n", "
| 6760 | \n", "0.050600 | \n", "
| 6770 | \n", "0.247000 | \n", "
| 6780 | \n", "0.046100 | \n", "
| 6790 | \n", "0.073700 | \n", "
| 6800 | \n", "0.301700 | \n", "
| 6810 | \n", "0.102400 | \n", "
| 6820 | \n", "0.022600 | \n", "
| 6830 | \n", "0.220000 | \n", "
| 6840 | \n", "0.047500 | \n", "
| 6850 | \n", "0.112300 | \n", "
| 6860 | \n", "0.202000 | \n", "
| 6870 | \n", "0.003500 | \n", "
| 6880 | \n", "0.175100 | \n", "
| 6890 | \n", "0.043100 | \n", "
| 6900 | \n", "0.148200 | \n", "
| 6910 | \n", "0.019800 | \n", "
| 6920 | \n", "0.001700 | \n", "
| 6930 | \n", "0.153800 | \n", "
| 6940 | \n", "0.008100 | \n", "
| 6950 | \n", "0.085400 | \n", "
| 6960 | \n", "0.065800 | \n", "
| 6970 | \n", "0.000900 | \n", "
| 6980 | \n", "0.000900 | \n", "
| 6990 | \n", "0.164800 | \n", "
| 7000 | \n", "0.130200 | \n", "
| 7010 | \n", "0.081800 | \n", "
| 7020 | \n", "0.003700 | \n", "
| 7030 | \n", "0.167700 | \n", "
| 7040 | \n", "0.158800 | \n", "
| 7050 | \n", "0.209700 | \n", "
| 7060 | \n", "0.004000 | \n", "
| 7070 | \n", "0.105400 | \n", "
| 7080 | \n", "0.132000 | \n", "
| 7090 | \n", "0.122600 | \n", "
| 7100 | \n", "0.107000 | \n", "
| 7110 | \n", "0.096800 | \n", "
| 7120 | \n", "0.171700 | \n", "
| 7130 | \n", "0.001600 | \n", "
| 7140 | \n", "0.064700 | \n", "
| 7150 | \n", "0.001500 | \n", "
| 7160 | \n", "0.265300 | \n", "
| 7170 | \n", "0.126500 | \n", "
| 7180 | \n", "0.094200 | \n", "
| 7190 | \n", "0.080400 | \n", "
| 7200 | \n", "0.054000 | \n", "
| 7210 | \n", "0.211100 | \n", "
| 7220 | \n", "0.045600 | \n", "
| 7230 | \n", "0.285000 | \n", "
| 7240 | \n", "0.134800 | \n", "
| 7250 | \n", "0.048100 | \n", "
| 7260 | \n", "0.073100 | \n", "
| 7270 | \n", "0.310400 | \n", "
| 7280 | \n", "0.031400 | \n", "
| 7290 | \n", "0.109400 | \n", "
| 7300 | \n", "0.044300 | \n", "
| 7310 | \n", "0.092300 | \n", "
| 7320 | \n", "0.199300 | \n", "
| 7330 | \n", "0.003500 | \n", "
"
],
"text/plain": [
" "
]
},
"metadata": {}
},
{
"output_type": "stream",
"name": "stdout",
"text": [
"Training complete! Saving model...\n",
"Model saved successfully!\n",
"Final evaluation on test data:\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"\n",
" \n",
"
\n",
" \n",
" \n",
" \n",
" Step \n",
" Training Loss \n",
" \n",
" \n",
" 10 \n",
" 0.665000 \n",
" \n",
" \n",
" 20 \n",
" 0.687400 \n",
" \n",
" \n",
" 30 \n",
" 0.566000 \n",
" \n",
" \n",
" 40 \n",
" 0.516400 \n",
" \n",
" \n",
" 50 \n",
" 0.406500 \n",
" \n",
" \n",
" 60 \n",
" 0.354700 \n",
" \n",
" \n",
" 70 \n",
" 0.267600 \n",
" \n",
" \n",
" 80 \n",
" 0.236800 \n",
" \n",
" \n",
" 90 \n",
" 0.227700 \n",
" \n",
" \n",
" 100 \n",
" 0.189200 \n",
" \n",
" \n",
" 110 \n",
" 0.162900 \n",
" \n",
" \n",
" 120 \n",
" 0.155700 \n",
" \n",
" \n",
" 130 \n",
" 0.259900 \n",
" \n",
" \n",
" 140 \n",
" 0.142200 \n",
" \n",
" \n",
" 150 \n",
" 0.227400 \n",
" \n",
" \n",
" 160 \n",
" 0.154500 \n",
" \n",
" \n",
" 170 \n",
" 0.213200 \n",
" \n",
" \n",
" 180 \n",
" 0.121500 \n",
" \n",
" \n",
" 190 \n",
" 0.231500 \n",
" \n",
" \n",
" 200 \n",
" 0.059900 \n",
" \n",
" \n",
" 210 \n",
" 0.251700 \n",
" \n",
" \n",
" 220 \n",
" 0.298800 \n",
" \n",
" \n",
" 230 \n",
" 0.090800 \n",
" \n",
" \n",
" 240 \n",
" 0.113300 \n",
" \n",
" \n",
" 250 \n",
" 0.025700 \n",
" \n",
" \n",
" 260 \n",
" 0.249600 \n",
" \n",
" \n",
" 270 \n",
" 0.304600 \n",
" \n",
" \n",
" 280 \n",
" 0.010700 \n",
" \n",
" \n",
" 290 \n",
" 0.340200 \n",
" \n",
" \n",
" 300 \n",
" 0.502400 \n",
" \n",
" \n",
" 310 \n",
" 0.073400 \n",
" \n",
" \n",
" 320 \n",
" 0.194600 \n",
" \n",
" \n",
" 330 \n",
" 0.079100 \n",
" \n",
" \n",
" 340 \n",
" 0.196500 \n",
" \n",
" \n",
" 350 \n",
" 0.198800 \n",
" \n",
" \n",
" 360 \n",
" 0.096600 \n",
" \n",
" \n",
" 370 \n",
" 0.137600 \n",
" \n",
" \n",
" 380 \n",
" 0.256700 \n",
" \n",
" \n",
" 390 \n",
" 0.145300 \n",
" \n",
" \n",
" 400 \n",
" 0.213100 \n",
" \n",
" \n",
" 410 \n",
" 0.202600 \n",
" \n",
" \n",
" 420 \n",
" 0.069300 \n",
" \n",
" \n",
" 430 \n",
" 0.218500 \n",
" \n",
" \n",
" 440 \n",
" 0.219300 \n",
" \n",
" \n",
" 450 \n",
" 0.264200 \n",
" \n",
" \n",
" 460 \n",
" 0.118400 \n",
" \n",
" \n",
" 470 \n",
" 0.187600 \n",
" \n",
" \n",
" 480 \n",
" 0.210100 \n",
" \n",
" \n",
" 490 \n",
" 0.279500 \n",
" \n",
" \n",
" 500 \n",
" 0.272700 \n",
" \n",
" \n",
" 510 \n",
" 0.161900 \n",
" \n",
" \n",
" 520 \n",
" 0.263200 \n",
" \n",
" \n",
" 530 \n",
" 0.093700 \n",
" \n",
" \n",
" 540 \n",
" 0.246900 \n",
" \n",
" \n",
" 550 \n",
" 0.109500 \n",
" \n",
" \n",
" 560 \n",
" 0.284800 \n",
" \n",
" \n",
" 570 \n",
" 0.120100 \n",
" \n",
" \n",
" 580 \n",
" 0.313800 \n",
" \n",
" \n",
" 590 \n",
" 0.192700 \n",
" \n",
" \n",
" 600 \n",
" 0.317500 \n",
" \n",
" \n",
" 610 \n",
" 0.007000 \n",
" \n",
" \n",
" 620 \n",
" 0.108000 \n",
" \n",
" \n",
" 630 \n",
" 0.213700 \n",
" \n",
" \n",
" 640 \n",
" 0.072200 \n",
" \n",
" \n",
" 650 \n",
" 0.204500 \n",
" \n",
" \n",
" 660 \n",
" 0.242800 \n",
" \n",
" \n",
" 670 \n",
" 0.126700 \n",
" \n",
" \n",
" 680 \n",
" 0.351000 \n",
" \n",
" \n",
" 690 \n",
" 0.239400 \n",
" \n",
" \n",
" 700 \n",
" 0.195600 \n",
" \n",
" \n",
" 710 \n",
" 0.050900 \n",
" \n",
" \n",
" 720 \n",
" 0.135700 \n",
" \n",
" \n",
" 730 \n",
" 0.144200 \n",
" \n",
" \n",
" 740 \n",
" 0.058100 \n",
" \n",
" \n",
" 750 \n",
" 0.050300 \n",
" \n",
" \n",
" 760 \n",
" 0.337600 \n",
" \n",
" \n",
" 770 \n",
" 0.119800 \n",
" \n",
" \n",
" 780 \n",
" 0.175600 \n",
" \n",
" \n",
" 790 \n",
" 0.251800 \n",
" \n",
" \n",
" 800 \n",
" 0.055800 \n",
" \n",
" \n",
" 810 \n",
" 0.135700 \n",
" \n",
" \n",
" 820 \n",
" 0.004300 \n",
" \n",
" \n",
" 830 \n",
" 0.282500 \n",
" \n",
" \n",
" 840 \n",
" 0.291200 \n",
" \n",
" \n",
" 850 \n",
" 0.079700 \n",
" \n",
" \n",
" 860 \n",
" 0.321600 \n",
" \n",
" \n",
" 870 \n",
" 0.010200 \n",
" \n",
" \n",
" 880 \n",
" 0.102500 \n",
" \n",
" \n",
" 890 \n",
" 0.166200 \n",
" \n",
" \n",
" 900 \n",
" 0.149300 \n",
" \n",
" \n",
" 910 \n",
" 0.334700 \n",
" \n",
" \n",
" 920 \n",
" 0.143100 \n",
" \n",
" \n",
" 930 \n",
" 0.054800 \n",
" \n",
" \n",
" 940 \n",
" 0.037800 \n",
" \n",
" \n",
" 950 \n",
" 0.081400 \n",
" \n",
" \n",
" 960 \n",
" 0.199700 \n",
" \n",
" \n",
" 970 \n",
" 0.298600 \n",
" \n",
" \n",
" 980 \n",
" 0.037800 \n",
" \n",
" \n",
" 990 \n",
" 0.076200 \n",
" \n",
" \n",
" 1000 \n",
" 0.001400 \n",
" \n",
" \n",
" 1010 \n",
" 0.171300 \n",
" \n",
" \n",
" 1020 \n",
" 0.181900 \n",
" \n",
" \n",
" 1030 \n",
" 0.081200 \n",
" \n",
" \n",
" 1040 \n",
" 0.144900 \n",
" \n",
" \n",
" 1050 \n",
" 0.161900 \n",
" \n",
" \n",
" 1060 \n",
" 0.109900 \n",
" \n",
" \n",
" 1070 \n",
" 0.042700 \n",
" \n",
" \n",
" 1080 \n",
" 0.056300 \n",
" \n",
" \n",
" 1090 \n",
" 0.162200 \n",
" \n",
" \n",
" 1100 \n",
" 0.216000 \n",
" \n",
" \n",
" 1110 \n",
" 0.154800 \n",
" \n",
" \n",
" 1120 \n",
" 0.150200 \n",
" \n",
" \n",
" 1130 \n",
" 0.254000 \n",
" \n",
" \n",
" 1140 \n",
" 0.003900 \n",
" \n",
" \n",
" 1150 \n",
" 0.172800 \n",
" \n",
" \n",
" 1160 \n",
" 0.409500 \n",
" \n",
" \n",
" 1170 \n",
" 0.017300 \n",
" \n",
" \n",
" 1180 \n",
" 0.049400 \n",
" \n",
" \n",
" 1190 \n",
" 0.228800 \n",
" \n",
" \n",
" 1200 \n",
" 0.270700 \n",
" \n",
" \n",
" 1210 \n",
" 0.278000 \n",
" \n",
" \n",
" 1220 \n",
" 0.321400 \n",
" \n",
" \n",
" 1230 \n",
" 0.023700 \n",
" \n",
" \n",
" 1240 \n",
" 0.071300 \n",
" \n",
" \n",
" 1250 \n",
" 0.155700 \n",
" \n",
" \n",
" 1260 \n",
" 0.164400 \n",
" \n",
" \n",
" 1270 \n",
" 0.048200 \n",
" \n",
" \n",
" 1280 \n",
" 0.201300 \n",
" \n",
" \n",
" 1290 \n",
" 0.108400 \n",
" \n",
" \n",
" 1300 \n",
" 0.149000 \n",
" \n",
" \n",
" 1310 \n",
" 0.057500 \n",
" \n",
" \n",
" 1320 \n",
" 0.004600 \n",
" \n",
" \n",
" 1330 \n",
" 0.003100 \n",
" \n",
" \n",
" 1340 \n",
" 0.087000 \n",
" \n",
" \n",
" 1350 \n",
" 0.002800 \n",
" \n",
" \n",
" 1360 \n",
" 0.139600 \n",
" \n",
" \n",
" 1370 \n",
" 0.057600 \n",
" \n",
" \n",
" 1380 \n",
" 0.121700 \n",
" \n",
" \n",
" 1390 \n",
" 0.091400 \n",
" \n",
" \n",
" 1400 \n",
" 0.241200 \n",
" \n",
" \n",
" 1410 \n",
" 0.406400 \n",
" \n",
" \n",
" 1420 \n",
" 0.077300 \n",
" \n",
" \n",
" 1430 \n",
" 0.007900 \n",
" \n",
" \n",
" 1440 \n",
" 0.174600 \n",
" \n",
" \n",
" 1450 \n",
" 0.301000 \n",
" \n",
" \n",
" 1460 \n",
" 0.105300 \n",
" \n",
" \n",
" 1470 \n",
" 0.353800 \n",
" \n",
" \n",
" 1480 \n",
" 0.104600 \n",
" \n",
" \n",
" 1490 \n",
" 0.212200 \n",
" \n",
" \n",
" 1500 \n",
" 0.196300 \n",
" \n",
" \n",
" 1510 \n",
" 0.132600 \n",
" \n",
" \n",
" 1520 \n",
" 0.087600 \n",
" \n",
" \n",
" 1530 \n",
" 0.126300 \n",
" \n",
" \n",
" 1540 \n",
" 0.125200 \n",
" \n",
" \n",
" 1550 \n",
" 0.022100 \n",
" \n",
" \n",
" 1560 \n",
" 0.110600 \n",
" \n",
" \n",
" 1570 \n",
" 0.160500 \n",
" \n",
" \n",
" 1580 \n",
" 0.003100 \n",
" \n",
" \n",
" 1590 \n",
" 0.054900 \n",
" \n",
" \n",
" 1600 \n",
" 0.075500 \n",
" \n",
" \n",
" 1610 \n",
" 0.231500 \n",
" \n",
" \n",
" 1620 \n",
" 0.102100 \n",
" \n",
" \n",
" 1630 \n",
" 0.053200 \n",
" \n",
" \n",
" 1640 \n",
" 0.143400 \n",
" \n",
" \n",
" 1650 \n",
" 0.285700 \n",
" \n",
" \n",
" 1660 \n",
" 0.081300 \n",
" \n",
" \n",
" 1670 \n",
" 0.126400 \n",
" \n",
" \n",
" 1680 \n",
" 0.029500 \n",
" \n",
" \n",
" 1690 \n",
" 0.163000 \n",
" \n",
" \n",
" 1700 \n",
" 0.003800 \n",
" \n",
" \n",
" 1710 \n",
" 0.318300 \n",
" \n",
" \n",
" 1720 \n",
" 0.003000 \n",
" \n",
" \n",
" 1730 \n",
" 0.114800 \n",
" \n",
" \n",
" 1740 \n",
" 0.081600 \n",
" \n",
" \n",
" 1750 \n",
" 0.119000 \n",
" \n",
" \n",
" 1760 \n",
" 0.140700 \n",
" \n",
" \n",
" 1770 \n",
" 0.090300 \n",
" \n",
" \n",
" 1780 \n",
" 0.124000 \n",
" \n",
" \n",
" 1790 \n",
" 0.062800 \n",
" \n",
" \n",
" 1800 \n",
" 0.108900 \n",
" \n",
" \n",
" 1810 \n",
" 0.146700 \n",
" \n",
" \n",
" 1820 \n",
" 0.083200 \n",
" \n",
" \n",
" 1830 \n",
" 0.152000 \n",
" \n",
" \n",
" 1840 \n",
" 0.003800 \n",
" \n",
" \n",
" 1850 \n",
" 0.147800 \n",
" \n",
" \n",
" 1860 \n",
" 0.236800 \n",
" \n",
" \n",
" 1870 \n",
" 0.180700 \n",
" \n",
" \n",
" 1880 \n",
" 0.086600 \n",
" \n",
" \n",
" 1890 \n",
" 0.203600 \n",
" \n",
" \n",
" 1900 \n",
" 0.052900 \n",
" \n",
" \n",
" 1910 \n",
" 0.146300 \n",
" \n",
" \n",
" 1920 \n",
" 0.254600 \n",
" \n",
" \n",
" 1930 \n",
" 0.104500 \n",
" \n",
" \n",
" 1940 \n",
" 0.265200 \n",
" \n",
" \n",
" 1950 \n",
" 0.084200 \n",
" \n",
" \n",
" 1960 \n",
" 0.005400 \n",
" \n",
" \n",
" 1970 \n",
" 0.332900 \n",
" \n",
" \n",
" 1980 \n",
" 0.204700 \n",
" \n",
" \n",
" 1990 \n",
" 0.343700 \n",
" \n",
" \n",
" 2000 \n",
" 0.038100 \n",
" \n",
" \n",
" 2010 \n",
" 0.098500 \n",
" \n",
" \n",
" 2020 \n",
" 0.088800 \n",
" \n",
" \n",
" 2030 \n",
" 0.084500 \n",
" \n",
" \n",
" 2040 \n",
" 0.096500 \n",
" \n",
" \n",
" 2050 \n",
" 0.067000 \n",
" \n",
" \n",
" 2060 \n",
" 0.032800 \n",
" \n",
" \n",
" 2070 \n",
" 0.320900 \n",
" \n",
" \n",
" 2080 \n",
" 0.001400 \n",
" \n",
" \n",
" 2090 \n",
" 0.009100 \n",
" \n",
" \n",
" 2100 \n",
" 0.016100 \n",
" \n",
" \n",
" 2110 \n",
" 0.144300 \n",
" \n",
" \n",
" 2120 \n",
" 0.204700 \n",
" \n",
" \n",
" 2130 \n",
" 0.064100 \n",
" \n",
" \n",
" 2140 \n",
" 0.182200 \n",
" \n",
" \n",
" 2150 \n",
" 0.146800 \n",
" \n",
" \n",
" 2160 \n",
" 0.286000 \n",
" \n",
" \n",
" 2170 \n",
" 0.087300 \n",
" \n",
" \n",
" 2180 \n",
" 0.116300 \n",
" \n",
" \n",
" 2190 \n",
" 0.140400 \n",
" \n",
" \n",
" 2200 \n",
" 0.015200 \n",
" \n",
" \n",
" 2210 \n",
" 0.008000 \n",
" \n",
" \n",
" 2220 \n",
" 0.240700 \n",
" \n",
" \n",
" 2230 \n",
" 0.265500 \n",
" \n",
" \n",
" 2240 \n",
" 0.070800 \n",
" \n",
" \n",
" 2250 \n",
" 0.107800 \n",
" \n",
" \n",
" 2260 \n",
" 0.088800 \n",
" \n",
" \n",
" 2270 \n",
" 0.228400 \n",
" \n",
" \n",
" 2280 \n",
" 0.211700 \n",
" \n",
" \n",
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" \n",
" 42820 \n",
" 0.069300 \n",
" \n",
" \n",
" 42830 \n",
" 0.000600 \n",
" \n",
" \n",
" 42840 \n",
" 0.070100 \n",
" \n",
" \n",
" 42850 \n",
" 0.000100 \n",
" \n",
" \n",
" 42860 \n",
" 0.002600 \n",
" \n",
" \n",
" 42870 \n",
" 0.054400 \n",
" \n",
" \n",
" 42880 \n",
" 0.017400 \n",
" \n",
" \n",
" 42890 \n",
" 0.121100 \n",
" \n",
" \n",
" 42900 \n",
" 0.000000 \n",
" \n",
" \n",
" 42910 \n",
" 0.024200 \n",
" \n",
" \n",
" 42920 \n",
" 0.091800 \n",
" \n",
" \n",
" 42930 \n",
" 0.000000 \n",
" \n",
" \n",
" 42940 \n",
" 0.072000 \n",
" \n",
" \n",
" 42950 \n",
" 0.024400 \n",
" \n",
" \n",
" 42960 \n",
" 0.005400 \n",
" \n",
" \n",
" 42970 \n",
" 0.000100 \n",
" \n",
" \n",
" 42980 \n",
" 0.000000 \n",
" \n",
" \n",
" 42990 \n",
" 0.000600 \n",
" \n",
" \n",
" 43000 \n",
" 0.079500 \n",
" \n",
" \n",
" 43010 \n",
" 0.146000 \n",
" \n",
" \n",
" 43020 \n",
" 0.000000 \n",
" \n",
" \n",
" 43030 \n",
" 0.000100 \n",
" \n",
" \n",
" 43040 \n",
" 0.001400 \n",
" \n",
" \n",
" 43050 \n",
" 0.039600 \n",
" \n",
" \n",
" 43060 \n",
" 0.000100 \n",
" \n",
" \n",
" 43070 \n",
" 0.035000 \n",
" \n",
" \n",
" 43080 \n",
" 0.000400 \n",
" \n",
" \n",
" 43090 \n",
" 0.093100 \n",
" \n",
" \n",
" 43100 \n",
" 0.000100 \n",
" \n",
" \n",
" 43110 \n",
" 0.000000 \n",
" \n",
" \n",
" 43120 \n",
" 0.005200 \n",
" \n",
" \n",
" 43130 \n",
" 0.000000 \n",
" \n",
" \n",
" 43140 \n",
" 0.000000 \n",
" \n",
" \n",
" 43150 \n",
" 0.011200 \n",
" \n",
" \n",
" 43160 \n",
" 0.000000 \n",
" \n",
" \n",
" 43170 \n",
" 0.000100 \n",
" \n",
" \n",
" 43180 \n",
" 0.000000 \n",
" \n",
" \n",
" 43190 \n",
" 0.000200 \n",
" \n",
" \n",
" 43200 \n",
" 0.000100 \n",
" \n",
" \n",
" \n",
"43210 \n",
" 0.000000 \n",
"