{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide_input": true,
    "inputHidden": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<span style=\"color:red; font-family:Helvetica Neue, Helvetica, Arial, sans-serif; font-size:2em;\">An Exception was encountered at 'In [25]'.</span>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "papermill": {
     "duration": 0.126896,
     "end_time": "2019-05-28T07:17:44.825160",
     "exception": false,
     "start_time": "2019-05-28T07:17:44.698264",
     "status": "completed"
    },
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Example parameters\n",
    "#ddir= \"/users/avsec/workspace/basepair/data/\"\n",
    "#model_file = f\"{ddir}/processed/chipnexus/exp/models/oct-sox-nanog-klf/models/filters=128/model.h5\"\n",
    "#dataspec_file = f\"{ddir}/processed/chipnexus/exp/models/oct-sox-nanog-klf/models/filters=128/dataspec.yaml\"\n",
    "#history_file = f\"{ddir}/processed/chipnexus/exp/models/oct-sox-nanog-klf/models/filters=128/history.csv\"\n",
    "#peak_width = 1000\n",
    "#seq_width = peak_width\n",
    "#gpu = 0\n",
    "#num_workers = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "papermill": {
     "duration": 0.535952,
     "end_time": "2019-05-28T07:17:45.443517",
     "exception": false,
     "start_time": "2019-05-28T07:17:44.907565",
     "status": "completed"
    },
    "tags": [
     "injected-parameters"
    ]
   },
   "outputs": [],
   "source": [
    "# Parameters\n",
    "model_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/model.h5\"\n",
    "dataspec_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/dataspec.yaml\"\n",
    "hparams_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/hparams.yaml\"\n",
    "history_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/history.csv\"\n",
    "peak_width = 1000\n",
    "seq_width = 1000\n",
    "gpu = 2\n",
    "num_workers = 10\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "papermill": {
     "duration": 7.875822,
     "end_time": "2019-05-28T07:17:53.408556",
     "exception": false,
     "start_time": "2019-05-28T07:17:45.532734",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import basepair\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from basepair.cli.schemas import DataSpec, TaskSpec\n",
    "from pathlib import Path\n",
    "from keras.models import load_model\n",
    "from basepair.config import create_tf_session, get_data_dir\n",
    "from basepair.datasets import StrandedProfile\n",
    "from basepair.preproc import AppendCounts\n",
    "from basepair.losses import MultichannelMultinomialNLL\n",
    "from basepair.config import valid_chr, test_chr\n",
    "from basepair.plots import regression_eval, plot_loss\n",
    "from basepair.cli.evaluate import eval_profile\n",
    "from basepair import samplers \n",
    "from basepair.math import softmax\n",
    "\n",
    "#ddir = get_data_dir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "papermill": {
     "duration": 0.713223,
     "end_time": "2019-05-28T07:17:54.263063",
     "exception": false,
     "start_time": "2019-05-28T07:17:53.549840",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.client.session.Session at 0x7f7abc5576d8>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "create_tf_session(\"\")  # don't use gpu"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "papermill": {
     "duration": 14.692568,
     "end_time": "2019-05-28T07:18:09.059604",
     "exception": false,
     "start_time": "2019-05-28T07:17:54.367036",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py:497: calling conv1d (from tensorflow.python.ops.nn_ops) with data_format=NHWC is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "`NHWC` for data_format is deprecated, use `NWC` instead\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-05-28 00:17:54,976 [WARNING] From /users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py:497: calling conv1d (from tensorflow.python.ops.nn_ops) with data_format=NHWC is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "`NHWC` for data_format is deprecated, use `NWC` instead\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From /users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use the retry module or similar alternatives.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2019-05-28 00:18:02,858 [WARNING] From /users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/tensorflow/contrib/learn/python/learn/datasets/base.py:198: retry (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use the retry module or similar alternatives.\n"
     ]
    }
   ],
   "source": [
    "model = load_model(model_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.132898,
     "end_time": "2019-05-28T07:18:09.484543",
     "exception": false,
     "start_time": "2019-05-28T07:18:09.351645",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Learning curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "papermill": {
     "duration": 0.245476,
     "end_time": "2019-05-28T07:18:09.869708",
     "exception": false,
     "start_time": "2019-05-28T07:18:09.624232",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "ds = DataSpec.load(dataspec_file)\n",
    "tasks = list(ds.task_specs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "papermill": {
     "duration": 0.159395,
     "end_time": "2019-05-28T07:18:10.173851",
     "exception": false,
     "start_time": "2019-05-28T07:18:10.014456",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'epoch': 8.0,\n",
       " 'counts/task1_loss': 0.6683207039596417,\n",
       " 'counts/task2_loss': 1.0072823913657978,\n",
       " 'counts/task3_loss': 0.9887502042225104,\n",
       " 'counts/task4_loss': 0.9043986156386684,\n",
       " 'counts/task5_loss': 1.6566382730997469,\n",
       " 'counts/task6_loss': 1.216587922675152,\n",
       " 'loss': 15214.911153876954,\n",
       " 'profile/task1_loss': 4308.4809826686715,\n",
       " 'profile/task2_loss': 4605.062671828334,\n",
       " 'profile/task3_loss': 1840.681585042747,\n",
       " 'profile/task4_loss': 1780.0965948580624,\n",
       " 'profile/task5_loss': 1233.0159361102862,\n",
       " 'profile/task6_loss': 1383.1534984151608,\n",
       " 'val_counts/task1_loss': 0.6699031769297742,\n",
       " 'val_counts/task2_loss': 1.0957648496085022,\n",
       " 'val_counts/task3_loss': 0.9007261980427153,\n",
       " 'val_counts/task4_loss': 0.8468474791627196,\n",
       " 'val_counts/task5_loss': 1.6927021105920133,\n",
       " 'val_counts/task6_loss': 1.1393832917833566,\n",
       " 'val_loss': 14887.109003209322,\n",
       " 'val_profile/task1_loss': 4231.2766746131765,\n",
       " 'val_profile/task2_loss': 4536.470794704734,\n",
       " 'val_profile/task3_loss': 1828.7725995310427,\n",
       " 'val_profile/task4_loss': 1745.8181388492746,\n",
       " 'val_profile/task5_loss': 1157.6193700063127,\n",
       " 'val_profile/task6_loss': 1323.698289921276}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Best metrics\n",
    "dfh = pd.read_csv(history_file)\n",
    "dict(dfh.iloc[dfh.val_loss.idxmin()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "papermill": {
     "duration": 1.746811,
     "end_time": "2019-05-28T07:18:12.078199",
     "exception": false,
     "start_time": "2019-05-28T07:18:10.331388",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1728x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(dfh, [f\"{p}/{task}_loss\"\n",
    "                for task in tasks\n",
    "                for p in ['profile']\n",
    "               ], figsize=(len(tasks)*4, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "papermill": {
     "duration": 1.557941,
     "end_time": "2019-05-28T07:18:14.038045",
     "exception": false,
     "start_time": "2019-05-28T07:18:12.480104",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(dfh, [f\"{p}/{task}_loss\"\n",
    "                for task in tasks\n",
    "                for p in ['counts']\n",
    "               ], figsize=(len(tasks)*4, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.176044,
     "end_time": "2019-05-28T07:18:14.608254",
     "exception": false,
     "start_time": "2019-05-28T07:18:14.432210",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "papermill": {
     "duration": 0.697861,
     "end_time": "2019-05-28T07:18:15.556937",
     "exception": false,
     "start_time": "2019-05-28T07:18:14.859076",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "dl_valid = StrandedProfile(ds, \n",
    "                          incl_chromosomes=valid_chr, \n",
    "                          peak_width=peak_width,\n",
    "                          seq_width=seq_width,\n",
    "                          shuffle=False,\n",
    "                          target_transformer=AppendCounts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "papermill": {
     "duration": 12.330189,
     "end_time": "2019-05-28T07:18:28.156174",
     "exception": false,
     "start_time": "2019-05-28T07:18:15.825985",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
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    },
    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "valid = dl_valid.load_all(num_workers=num_workers)\n",
    "y_true = valid[\"targets\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "papermill": {
     "duration": 0.661125,
     "end_time": "2019-05-28T07:18:29.372496",
     "exception": false,
     "start_time": "2019-05-28T07:18:28.711371",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from basepair.BPNet import BiasModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "papermill": {
     "duration": 0.134652,
     "end_time": "2019-05-28T07:18:29.684082",
     "exception": false,
     "start_time": "2019-05-28T07:18:29.549430",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# if [task for task, task_spec in ds.task_specs.items() if task_spec.bias_model]:\n",
    "#     bm = BiasModel(ds)\n",
    "#     valid['inputs'] = bm.predict([valid[\"inputs\"]])[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "papermill": {
     "duration": 118.377968,
     "end_time": "2019-05-28T07:20:28.225095",
     "exception": false,
     "start_time": "2019-05-28T07:18:29.847127",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  768/13820 [>.............................] - ETA: 1:56"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  800/13820 [>.............................] - ETA: 1:55"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  832/13820 [>.............................] - ETA: 1:55"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  864/13820 [>.............................] - ETA: 1:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  896/13820 [>.............................] - ETA: 1:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  928/13820 [=>............................] - ETA: 1:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  960/13820 [=>............................] - ETA: 1:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  992/13820 [=>............................] - ETA: 1:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1024/13820 [=>............................] - ETA: 1:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1056/13820 [=>............................] - ETA: 1:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1088/13820 [=>............................] - ETA: 1:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1120/13820 [=>............................] - ETA: 1:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1152/13820 [=>............................] - ETA: 1:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1184/13820 [=>............................] - ETA: 1:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1216/13820 [=>............................] - ETA: 1:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1248/13820 [=>............................] - ETA: 1:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1280/13820 [=>............................] - ETA: 1:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1312/13820 [=>............................] - ETA: 1:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1344/13820 [=>............................] - ETA: 1:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1376/13820 [=>............................] - ETA: 1:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1408/13820 [==>...........................] - ETA: 1:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1440/13820 [==>...........................] - ETA: 1:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1472/13820 [==>...........................] - ETA: 1:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1504/13820 [==>...........................] - ETA: 1:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1536/13820 [==>...........................] - ETA: 1:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1568/13820 [==>...........................] - ETA: 1:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1600/13820 [==>...........................] - ETA: 1:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1632/13820 [==>...........................] - ETA: 1:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1664/13820 [==>...........................] - ETA: 1:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1696/13820 [==>...........................] - ETA: 1:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1728/13820 [==>...........................] - ETA: 1:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1760/13820 [==>...........................] - ETA: 1:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1792/13820 [==>...........................] - ETA: 1:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1824/13820 [==>...........................] - ETA: 1:43"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1856/13820 [===>..........................] - ETA: 1:43"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1888/13820 [===>..........................] - ETA: 1:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1920/13820 [===>..........................] - ETA: 1:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1952/13820 [===>..........................] - ETA: 1:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1984/13820 [===>..........................] - ETA: 1:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2016/13820 [===>..........................] - ETA: 1:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2048/13820 [===>..........................] - ETA: 1:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2080/13820 [===>..........................] - ETA: 1:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2112/13820 [===>..........................] - ETA: 1:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2144/13820 [===>..........................] - ETA: 1:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2176/13820 [===>..........................] - ETA: 1:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2208/13820 [===>..........................] - ETA: 1:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2240/13820 [===>..........................] - ETA: 1:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2272/13820 [===>..........................] - ETA: 1:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2304/13820 [====>.........................] - ETA: 1:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2336/13820 [====>.........................] - ETA: 1:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2368/13820 [====>.........................] - ETA: 1:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2400/13820 [====>.........................] - ETA: 1:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2432/13820 [====>.........................] - ETA: 1:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2464/13820 [====>.........................] - ETA: 1:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2496/13820 [====>.........................] - ETA: 1:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2528/13820 [====>.........................] - ETA: 1:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2560/13820 [====>.........................] - ETA: 1:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2592/13820 [====>.........................] - ETA: 1:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2624/13820 [====>.........................] - ETA: 1:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2656/13820 [====>.........................] - ETA: 1:35"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2688/13820 [====>.........................] - ETA: 1:35"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2720/13820 [====>.........................] - ETA: 1:35"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2752/13820 [====>.........................] - ETA: 1:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2784/13820 [=====>........................] - ETA: 1:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2816/13820 [=====>........................] - ETA: 1:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2848/13820 [=====>........................] - ETA: 1:33"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2880/13820 [=====>........................] - ETA: 1:33"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2912/13820 [=====>........................] - ETA: 1:33"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2944/13820 [=====>........................] - ETA: 1:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2976/13820 [=====>........................] - ETA: 1:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3008/13820 [=====>........................] - ETA: 1:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3040/13820 [=====>........................] - ETA: 1:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3072/13820 [=====>........................] - ETA: 1:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3104/13820 [=====>........................] - ETA: 1:31"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3136/13820 [=====>........................] - ETA: 1:31"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3168/13820 [=====>........................] - ETA: 1:31"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3200/13820 [=====>........................] - ETA: 1:31"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3232/13820 [======>.......................] - ETA: 1:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3264/13820 [======>.......................] - ETA: 1:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3296/13820 [======>.......................] - ETA: 1:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3328/13820 [======>.......................] - ETA: 1:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3360/13820 [======>.......................] - ETA: 1:29"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3392/13820 [======>.......................] - ETA: 1:29"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3424/13820 [======>.......................] - ETA: 1:29"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3456/13820 [======>.......................] - ETA: 1:28"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3488/13820 [======>.......................] - ETA: 1:28"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3520/13820 [======>.......................] - ETA: 1:28"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3552/13820 [======>.......................] - ETA: 1:28"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3584/13820 [======>.......................] - ETA: 1:27"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3616/13820 [======>.......................] - ETA: 1:27"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3648/13820 [======>.......................] - ETA: 1:27"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3680/13820 [======>.......................] - ETA: 1:26"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3712/13820 [=======>......................] - ETA: 1:26"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3744/13820 [=======>......................] - ETA: 1:26"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3776/13820 [=======>......................] - ETA: 1:26"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3808/13820 [=======>......................] - ETA: 1:25"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3840/13820 [=======>......................] - ETA: 1:25"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3872/13820 [=======>......................] - ETA: 1:25"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3904/13820 [=======>......................] - ETA: 1:24"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3936/13820 [=======>......................] - ETA: 1:24"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3968/13820 [=======>......................] - ETA: 1:24"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4000/13820 [=======>......................] - ETA: 1:23"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4032/13820 [=======>......................] - ETA: 1:23"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4064/13820 [=======>......................] - ETA: 1:23"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4096/13820 [=======>......................] - ETA: 1:23"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4128/13820 [=======>......................] - ETA: 1:22"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4160/13820 [========>.....................] - ETA: 1:22"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4192/13820 [========>.....................] - ETA: 1:22"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4224/13820 [========>.....................] - ETA: 1:22"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4256/13820 [========>.....................] - ETA: 1:21"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4288/13820 [========>.....................] - ETA: 1:21"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4320/13820 [========>.....................] - ETA: 1:21"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4352/13820 [========>.....................] - ETA: 1:20"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4384/13820 [========>.....................] - ETA: 1:20"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4416/13820 [========>.....................] - ETA: 1:20"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4448/13820 [========>.....................] - ETA: 1:20"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4480/13820 [========>.....................] - ETA: 1:20"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4512/13820 [========>.....................] - ETA: 1:20"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4544/13820 [========>.....................] - ETA: 1:19"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4576/13820 [========>.....................] - ETA: 1:19"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4608/13820 [=========>....................] - ETA: 1:19"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4640/13820 [=========>....................] - ETA: 1:19"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4672/13820 [=========>....................] - ETA: 1:18"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4704/13820 [=========>....................] - ETA: 1:18"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4736/13820 [=========>....................] - ETA: 1:18"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4768/13820 [=========>....................] - ETA: 1:18"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4800/13820 [=========>....................] - ETA: 1:17"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4832/13820 [=========>....................] - ETA: 1:17"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4864/13820 [=========>....................] - ETA: 1:16"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4896/13820 [=========>....................] - ETA: 1:16"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4928/13820 [=========>....................] - ETA: 1:16"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4960/13820 [=========>....................] - ETA: 1:16"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4992/13820 [=========>....................] - ETA: 1:15"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5024/13820 [=========>....................] - ETA: 1:15"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5056/13820 [=========>....................] - ETA: 1:15"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5088/13820 [==========>...................] - ETA: 1:15"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5120/13820 [==========>...................] - ETA: 1:14"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5152/13820 [==========>...................] - ETA: 1:14"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5184/13820 [==========>...................] - ETA: 1:14"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5216/13820 [==========>...................] - ETA: 1:14"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5248/13820 [==========>...................] - ETA: 1:13"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5280/13820 [==========>...................] - ETA: 1:13"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5312/13820 [==========>...................] - ETA: 1:13"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5344/13820 [==========>...................] - ETA: 1:13"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5376/13820 [==========>...................] - ETA: 1:12"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5408/13820 [==========>...................] - ETA: 1:12"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5440/13820 [==========>...................] - ETA: 1:12"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5472/13820 [==========>...................] - ETA: 1:11"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5504/13820 [==========>...................] - ETA: 1:11"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5536/13820 [===========>..................] - ETA: 1:11"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5568/13820 [===========>..................] - ETA: 1:11"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5600/13820 [===========>..................] - ETA: 1:10"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5632/13820 [===========>..................] - ETA: 1:10"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5664/13820 [===========>..................] - ETA: 1:10"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5696/13820 [===========>..................] - ETA: 1:09"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5728/13820 [===========>..................] - ETA: 1:09"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5760/13820 [===========>..................] - ETA: 1:09"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5792/13820 [===========>..................] - ETA: 1:09"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5824/13820 [===========>..................] - ETA: 1:08"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5856/13820 [===========>..................] - ETA: 1:08"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5888/13820 [===========>..................] - ETA: 1:08"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5920/13820 [===========>..................] - ETA: 1:07"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5952/13820 [===========>..................] - ETA: 1:07"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5984/13820 [===========>..................] - ETA: 1:07"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6016/13820 [============>.................] - ETA: 1:07"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6048/13820 [============>.................] - ETA: 1:06"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6080/13820 [============>.................] - ETA: 1:06"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6112/13820 [============>.................] - ETA: 1:06"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6144/13820 [============>.................] - ETA: 1:06"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6176/13820 [============>.................] - ETA: 1:05"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6208/13820 [============>.................] - ETA: 1:05"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6240/13820 [============>.................] - ETA: 1:05"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6272/13820 [============>.................] - ETA: 1:04"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6304/13820 [============>.................] - ETA: 1:04"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6336/13820 [============>.................] - ETA: 1:04"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6368/13820 [============>.................] - ETA: 1:04"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6400/13820 [============>.................] - ETA: 1:03"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6432/13820 [============>.................] - ETA: 1:03"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6464/13820 [=============>................] - ETA: 1:03"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6496/13820 [=============>................] - ETA: 1:02"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6528/13820 [=============>................] - ETA: 1:02"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6560/13820 [=============>................] - ETA: 1:02"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6592/13820 [=============>................] - ETA: 1:02"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6624/13820 [=============>................] - ETA: 1:01"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6656/13820 [=============>................] - ETA: 1:01"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6688/13820 [=============>................] - ETA: 1:01"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6720/13820 [=============>................] - ETA: 1:00"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6752/13820 [=============>................] - ETA: 1:00"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6784/13820 [=============>................] - ETA: 1:00"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6816/13820 [=============>................] - ETA: 1:00"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6848/13820 [=============>................] - ETA: 59s "
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6880/13820 [=============>................] - ETA: 59s"
     ]
    },
    {
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6912/13820 [==============>...............] - ETA: 59s"
     ]
    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6944/13820 [==============>...............] - ETA: 58s"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6976/13820 [==============>...............] - ETA: 58s"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7008/13820 [==============>...............] - ETA: 58s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7040/13820 [==============>...............] - ETA: 58s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7072/13820 [==============>...............] - ETA: 57s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7104/13820 [==============>...............] - ETA: 57s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7136/13820 [==============>...............] - ETA: 57s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7168/13820 [==============>...............] - ETA: 57s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7200/13820 [==============>...............] - ETA: 56s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7232/13820 [==============>...............] - ETA: 56s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7264/13820 [==============>...............] - ETA: 56s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7296/13820 [==============>...............] - ETA: 55s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7328/13820 [==============>...............] - ETA: 55s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7360/13820 [==============>...............] - ETA: 55s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7392/13820 [===============>..............] - ETA: 55s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7424/13820 [===============>..............] - ETA: 54s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7456/13820 [===============>..............] - ETA: 54s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7488/13820 [===============>..............] - ETA: 54s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7520/13820 [===============>..............] - ETA: 54s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7552/13820 [===============>..............] - ETA: 53s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7584/13820 [===============>..............] - ETA: 53s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7616/13820 [===============>..............] - ETA: 53s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7648/13820 [===============>..............] - ETA: 52s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7680/13820 [===============>..............] - ETA: 52s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7712/13820 [===============>..............] - ETA: 52s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7744/13820 [===============>..............] - ETA: 52s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7776/13820 [===============>..............] - ETA: 51s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7808/13820 [===============>..............] - ETA: 51s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7840/13820 [================>.............] - ETA: 51s"
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    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7872/13820 [================>.............] - ETA: 50s"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7904/13820 [================>.............] - ETA: 50s"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7936/13820 [================>.............] - ETA: 50s"
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    },
    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8000/13820 [================>.............] - ETA: 49s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8032/13820 [================>.............] - ETA: 49s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8064/13820 [================>.............] - ETA: 49s"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8096/13820 [================>.............] - ETA: 48s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8128/13820 [================>.............] - ETA: 48s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8160/13820 [================>.............] - ETA: 48s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8192/13820 [================>.............] - ETA: 48s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8224/13820 [================>.............] - ETA: 47s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8256/13820 [================>.............] - ETA: 47s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8288/13820 [================>.............] - ETA: 47s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8320/13820 [=================>............] - ETA: 46s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8352/13820 [=================>............] - ETA: 46s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8384/13820 [=================>............] - ETA: 46s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8416/13820 [=================>............] - ETA: 46s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8448/13820 [=================>............] - ETA: 45s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8480/13820 [=================>............] - ETA: 45s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8512/13820 [=================>............] - ETA: 45s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8544/13820 [=================>............] - ETA: 45s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8576/13820 [=================>............] - ETA: 44s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8608/13820 [=================>............] - ETA: 44s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8640/13820 [=================>............] - ETA: 44s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8672/13820 [=================>............] - ETA: 43s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8704/13820 [=================>............] - ETA: 43s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8736/13820 [=================>............] - ETA: 43s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8768/13820 [==================>...........] - ETA: 43s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8800/13820 [==================>...........] - ETA: 42s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8832/13820 [==================>...........] - ETA: 42s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8864/13820 [==================>...........] - ETA: 42s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8896/13820 [==================>...........] - ETA: 42s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8928/13820 [==================>...........] - ETA: 41s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8960/13820 [==================>...........] - ETA: 41s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8992/13820 [==================>...........] - ETA: 41s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9024/13820 [==================>...........] - ETA: 40s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9056/13820 [==================>...........] - ETA: 40s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9088/13820 [==================>...........] - ETA: 40s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9120/13820 [==================>...........] - ETA: 40s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9152/13820 [==================>...........] - ETA: 39s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9184/13820 [==================>...........] - ETA: 39s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9216/13820 [===================>..........] - ETA: 39s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9248/13820 [===================>..........] - ETA: 38s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9280/13820 [===================>..........] - ETA: 38s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9312/13820 [===================>..........] - ETA: 38s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9344/13820 [===================>..........] - ETA: 38s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9376/13820 [===================>..........] - ETA: 37s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9408/13820 [===================>..........] - ETA: 37s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9440/13820 [===================>..........] - ETA: 37s"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9472/13820 [===================>..........] - ETA: 37s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9504/13820 [===================>..........] - ETA: 36s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9536/13820 [===================>..........] - ETA: 36s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9568/13820 [===================>..........] - ETA: 36s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9600/13820 [===================>..........] - ETA: 35s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9632/13820 [===================>..........] - ETA: 35s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9664/13820 [===================>..........] - ETA: 35s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9696/13820 [====================>.........] - ETA: 35s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9728/13820 [====================>.........] - ETA: 34s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9760/13820 [====================>.........] - ETA: 34s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9792/13820 [====================>.........] - ETA: 34s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9824/13820 [====================>.........] - ETA: 34s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9856/13820 [====================>.........] - ETA: 33s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9888/13820 [====================>.........] - ETA: 33s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9920/13820 [====================>.........] - ETA: 33s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9952/13820 [====================>.........] - ETA: 32s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9984/13820 [====================>.........] - ETA: 32s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10016/13820 [====================>.........] - ETA: 32s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10048/13820 [====================>.........] - ETA: 32s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10080/13820 [====================>.........] - ETA: 31s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10112/13820 [====================>.........] - ETA: 31s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10144/13820 [=====================>........] - ETA: 31s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10176/13820 [=====================>........] - ETA: 31s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10208/13820 [=====================>........] - ETA: 30s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10240/13820 [=====================>........] - ETA: 30s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10272/13820 [=====================>........] - ETA: 30s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10304/13820 [=====================>........] - ETA: 29s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10336/13820 [=====================>........] - ETA: 29s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10368/13820 [=====================>........] - ETA: 29s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10400/13820 [=====================>........] - ETA: 29s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10432/13820 [=====================>........] - ETA: 28s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10464/13820 [=====================>........] - ETA: 28s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10496/13820 [=====================>........] - ETA: 28s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10528/13820 [=====================>........] - ETA: 28s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10560/13820 [=====================>........] - ETA: 27s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10592/13820 [=====================>........] - ETA: 27s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10624/13820 [======================>.......] - ETA: 27s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10656/13820 [======================>.......] - ETA: 26s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10688/13820 [======================>.......] - ETA: 26s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10720/13820 [======================>.......] - ETA: 26s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10752/13820 [======================>.......] - ETA: 26s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10784/13820 [======================>.......] - ETA: 25s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10816/13820 [======================>.......] - ETA: 25s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10848/13820 [======================>.......] - ETA: 25s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10880/13820 [======================>.......] - ETA: 25s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10912/13820 [======================>.......] - ETA: 24s"
     ]
    },
    {
     "name": "stdout",
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12416/13820 [=========================>....] - ETA: 11s"
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    {
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12448/13820 [==========================>...] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12480/13820 [==========================>...] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12512/13820 [==========================>...] - ETA: 11s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12544/13820 [==========================>...] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12576/13820 [==========================>...] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12608/13820 [==========================>...] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12640/13820 [==========================>...] - ETA: 10s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12672/13820 [==========================>...] - ETA: 9s "
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12704/13820 [==========================>...] - ETA: 9s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12736/13820 [==========================>...] - ETA: 9s"
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12768/13820 [==========================>...] - ETA: 9s"
     ]
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12800/13820 [==========================>...] - ETA: 8s"
     ]
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12832/13820 [==========================>...] - ETA: 8s"
     ]
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12864/13820 [==========================>...] - ETA: 8s"
     ]
    },
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12896/13820 [==========================>...] - ETA: 7s"
     ]
    },
    {
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12928/13820 [===========================>..] - ETA: 7s"
     ]
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12960/13820 [===========================>..] - ETA: 7s"
     ]
    },
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12992/13820 [===========================>..] - ETA: 7s"
     ]
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13024/13820 [===========================>..] - ETA: 6s"
     ]
    },
    {
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13056/13820 [===========================>..] - ETA: 6s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13088/13820 [===========================>..] - ETA: 6s"
     ]
    },
    {
     "name": "stdout",
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13120/13820 [===========================>..] - ETA: 5s"
     ]
    },
    {
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13152/13820 [===========================>..] - ETA: 5s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13184/13820 [===========================>..] - ETA: 5s"
     ]
    },
    {
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13216/13820 [===========================>..] - ETA: 5s"
     ]
    },
    {
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13248/13820 [===========================>..] - ETA: 4s"
     ]
    },
    {
     "name": "stdout",
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     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13280/13820 [===========================>..] - ETA: 4s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13312/13820 [===========================>..] - ETA: 4s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13344/13820 [===========================>..] - ETA: 4s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13376/13820 [============================>.] - ETA: 3s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13408/13820 [============================>.] - ETA: 3s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13440/13820 [============================>.] - ETA: 3s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13472/13820 [============================>.] - ETA: 2s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13504/13820 [============================>.] - ETA: 2s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13536/13820 [============================>.] - ETA: 2s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13568/13820 [============================>.] - ETA: 2s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13600/13820 [============================>.] - ETA: 1s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13632/13820 [============================>.] - ETA: 1s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13664/13820 [============================>.] - ETA: 1s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13696/13820 [============================>.] - ETA: 1s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13728/13820 [============================>.] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13760/13820 [============================>.] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13792/13820 [============================>.] - ETA: 0s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "13820/13820 [==============================] - 118s 9ms/step\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(valid['inputs'], verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "papermill": {
     "duration": 0.369856,
     "end_time": "2019-05-28T07:20:28.935592",
     "exception": false,
     "start_time": "2019-05-28T07:20:28.565736",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "papermill": {
     "duration": 2.493051,
     "end_time": "2019-05-28T07:20:31.847963",
     "exception": false,
     "start_time": "2019-05-28T07:20:29.354912",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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b5moM/YQ9U6WNMmVLJ4oT3DDd2OZH6TV3kA78mEbZoutGzNRsAOI45ejqAFvXCKNsebfDi336bsQ779hWmHQKCq4ThcB/ldFxQx56ocnp9QGTJRtEcXixT5BE2KawfbIMwK5GiSdPdinbGmma4kcpwyDivn1T17R9VcfAj1ImyyZumFAraTQHAUkCuqUxXTIo2yaaCB0vellMTKMO8IlTbdb7AdMTDvfurnPvnkbRmRQUjFEI/FcZ880+7WFAo+Lg5AshayL0fJhvDplwLBxTwxCNXXWHibJJ2w2pOsamHbYn1gY8Mt9kfRAyXbW4/8DsplfjOTBb49BCi9vnanztaJMgTul7ERqKMIy5d88MAJah4UXxSzYxjTrA55c6dL0E29BY6wY8Hrfo+THvLJzCBQUbFAL/FcQoumW549P1QyYdm+11eyNscb7Z55Gja7T6AQfmqkAm8C1Dw9Q1ttVsdJ0NAX815pITawM+e+g0jZLFjkmHgZ/w2UOn+ch9uzcl9Otli/v2TTHf7BPun85s+o5BlKTcsWOC2ZoDQBinGJq8ZBPTqAOMU5gom9imThgmRImiPQyuuZO6oODVRCHwXyGMoluUElZ6PpoIy8EQ2xQe6jQhVcxNlpibcGi5IS+sDHjN3AQVx9gQntvrzjnCreOG/OUTZ3jsxDp+lNIoZ+YU4KKa+yPzTRoli3ol6yjqFX1j+2a1/HrZ4o37pjfaMm6Gcv0YRNHzEnbVnZccgz/wY5I0JVbg6NksXtMQgiAlSdPLjiDGRzOOqbNzskTVMW74vIWCgmtBIfBfIcw3+yglfPHIEvMrfRQajapJmEDF1hGEW7bV2D1VZq0fcKrlsbA+YP9M5YLCs+OG/M1Tizy20KJRMtFQPHhkjYmSwbtfM0sYKX734WNMVy1EZKMDWB+E7JjMtPBhELPa9zmzPuDEusfpls/uKeeKTDyQdQDvvH2WJxxjw9F8584ar38ZbOxVx0DXNAyBKFHYWjabVxdB17RLjiDGRzOTjsHhpSGHl7p8z93bKZnGdZu3UFBwvSgE/nXmyVMt/uqpRZr9kNmaxYfu2cnBPVMsd3yeXezy5KkuE46Bbeq0BhEPv7DKfXsaTOemkAnH4vX7GpRMnSMrfdwwuaDwnG/2OdbsM12xqZVMTqwNaVQsdBGOrQ+5fW6CY80Bzb7Bd901t2G60QUGfoJpKBbWB3hBwvzaEFM38MOQzlCuyMQzol62eNcdc7zrjrmX9X4emK2x2PFp9jy6boRtxASRol4xaVTsS44gxkczx9cGTFdNgljnyTMdPnDPbuDaz1soKLieXFOBLyL/AvgYoICngB9VSvnXss5XMk+eavE7Dx+jUbbZXXfo+gm/8/AxPvYO6Pohx9cG1EsWlqljGhpOCnGiONEaMjd5NuRywrF47a46B/fWLyqMBn7M0I/Zlh/nhQllSwgTRWsQ8bV+kzBKWE8VYaw2TDgDP6TthfT8CEc0jjf7CMJrd09SMQ2CBBol64pMPNeS0ehhwjE2onRmJjcXpTM+mvGjlIqloesaa4NsfoBjarSLuQIFNxHXTOCLyC7gp4G7lVKeiPwx8P3AA9eqzlc6f/XUIo18MhLAjGlsbD+4a4p+EFEvWfT8mDhJSJIsuViqhHrJxA1iHFPbVIhl1TGoOMZGaGTJ0nGjlDRJSRQESYqta+i6zvG1IbfMVKg6Ov1A+Mjrd/G7D83TTVN8Jdyza4KpioVSitYgYOgGPL86xA0Sbpt7eUwzL4WrHT1MVy0GfkK9ouOYGlGsCOKUyVL2XK7HvIWCguvJtZ5pawAlETGAMrB4jet7RdPsh0w6+jnbJh2dZj9ke91m33QNTTRqjomu65QdE1PXecO+Sd55x7aNCBxd57K25QOzNW6drbE+DOgOA7bVbNrDkJ4fsrfuYGmCGyUc2FbBNjVWuj4DP2G6arF/pso/eMNuvu++3bx1fwM775h6XsRS1+fYmke9bG5MoHroyOqrctbs/QdmaXshnWHIdNlkfRCxPvQ5uKuOG8QMg6hI7FZwU3HN1Bel1BkR+VXgJOABn1dKff78ciLyE8BPAOzdu/daNecVwWzNousnG5o9QNdPqFk6fT8mSVJOrveZrFjUyzY6UHV0dIRf+8Jh/CjltrkKb8nDHS+XBVMTYWF1wBfX+qQpzNQspko2QQq3TFfoeDGGrqGhaA5C0OAjd2a261E8/R3bJvnafJMgUTR7Q5IYEOGePY3LTqA6G2Ya0PUDdNFJVMKkY7E9dzLfyJHB/pkqH7lvdx6lE3HLtjI7J0s4lrGpTrWg4NWGKKUuX+pqTizSAD4D/BOgA/wJ8Gml1B9c7Jg3velN6rHHHrsm7XklMG7Dn3R0un7CcsflrbfOsH+6yrOLHU6sDzjeHFK2DaarFrsaJZZ7AY2SialrHF0dcKrtcst0lX0zZfZNlTm57tH2AkA2OoRnFnt86bkVzrRd4jRFKTB1wTF0pidLzFUd/CjGjWPSRBAUt85WqVesDTMNZE7LoysDjq31Od3yIU05uLex4VNI05SuF3PrbOUck8oozDRRioW1AUGccHLNZe9MFcfU2T9dRURdUqiOZ/+EzBEksKmQyY4b8u1TbY7mUUG3z9WKmbcFNyUi8rhS6k2bKXstDZTvBY4rpZp5o/4UuB+4qMC/2ZkoWeyedPjq/DoDP2ZHo8zBnTVmKg6Pn1xnGCTsqle4e2eDWknHi1IePbbOznqJWsmkPQw42Rqg0PCiCC9M+cyhM6gkZUfdYc9UhWMrLk+d6uIYGm4QY5k6VcMkVYIfxrS8kI6fYImwZ6rEah86YciB2So76+WNVA2jPDfj8fSPL6zz2LF1Fjsezy51QQmNssmOyfKLbN2jJGoLrQEV26IXeEyUbcI4Zapise4G7JuqXDQKZjz7p6HBN461aA0jdtQdJhyTxZZ30YllHTfkoSOrnOn4TJR0UMKzZzrFzNuCLc+1FPgngbeJSJnMpPPdwE2nvm92kZFRzHfFtrhtW5Uz6x7NnsuXei6PnmhTL5ncNlshQbHYcZmKLUqmTt8PKFtZNMzJ5hBD17B0jTCBIE7wwwgNsEyTsmPS82OeW+7TGXhomo6uKeplh5KlE8YxcZwyU7PRDSFFI0GhiaCJRjkX2poI880+jy2sEcRZtMqb9k+zd6rEYsfj2JrHVElHobL5AwLTle3nXO8oiZobJtQck/YwpDsMWO6HzFUtamWTHZMOSaTOuY+jHPqrvYCZqsWbb5lhsevR8xLKlkYQxpgVizMdn88/tUQ3iDby67/l1hnefvss880+HS+iXjZwrPyaNClm3hZsea6lDf8bIvJp4FtADBwC/u9rVd+N4Pwc9H6U8tCRVSZKJsi5podRzPfxtQEL6y6OqWNGGs1+SBCnCMLpjs++mSqaCG4QUXVMao69EWnjRSmWphGnWTbMMFYkSUoigmUI7UHICys9SBPiRGGSMgxTLCPGixI6wwA3UPT9Pstdl6mqg0hKxTBIZysb19XzQr5+bB3bMDiwrcxqz+dT3zhBrWRi64KO4njLxdQ0tk3a1EsW68PgnDDNqmPQ7Ac8v9znyHKPxY6HoNhdLyOShUQ+erzFG/Y1zsmh/8jRJgM34lhriIjia0fXmSyb3LF9gopj4gYpjmUQ9Dw+e2iFW2ZqNEoGcQpfPLxMP4ip2QZxqqjYZx3klpmNikbmoRNrA77w7PKLOotC+y+4mbmmMWdKqZ8Hfv5a1nGj6Lghn37sJAutIbausXuqws56idMdj4ob8fq99XNWmRrFfM83B5QtnSABx9SxDB1L1xgGEQqbU2tDZmomZcum4Zjct6fBs8td0jQlJaXjhSRKMVu2We15rA8j/CjBi5p03QhBIQi2aWCaOkES0OoHoMCNwdTADUHXUvpuiGFqNHtDdk2XN67t0MkO7UGAaCFrA5+pioWuaTxxqoOta8zWLPZMlTE0jemqxWrXZbkTwL6z92e6YvPn3z7D8ZU+fS9ERzGIEpYHPtWSya56mdYwQDhr/nlofpWuF22Ej2qakCSKY80BZVNHkypVO3tl51eHRGnKdNXEypPIiQhHV3rcuq2KoQlhnOJYWSBaGKUbM29PrA341NcX6PvJizqL979uRyH0C25aiiDjq2CUG+bIco+Zso0YGsfXhhxZ7nFgtowS0DSNsq3R87OO4bkzXZ461Wa15zNdMem4MX03pOvH9DUQgR2TDm6kENEwzZh79tSply3mXnB4+IUmUayo2Aa76xXabsjaIMANEzSg64YM8iltjqXYVjGxdR0TxVI/RAPqZTIHrS6ULYMkTSFR1EsOx5pD3rQvZhhGHF0dEsUpNUfHNHTaw4iOH4BKUKngRSmDIKHuaHS9mImySdcPzrlH68OAVKXMTJaIgURBxTYIlcqOLZvYRiaoR+af0+seqVIkSlGvOPSDCMfSEB/W3QC9rfP222fww4SWGzBVMjAN2aizbGus9iImSzZpkmY2fKVACV0vYPd0lQOzNf76qTNE6sKdxfxctTD5FNy0FAL/KhhlaJyulNB1sC0dTeB402e1F3D7XDZ7s++FHF7qsbA25M4dNb51skcYJ7yw6qEhtF1FzSHLl2NpvLDa5+CuOgf3TLJ/psLx5oD79k3x4Xt3saPukCSZYP/c04vEWHhRwq0zVWJSTq+7xGQPVClQCFNVm73TFe4CvDBiumJz6FQHUSl+DEmaUnMs3ry/zlNn+nxlfpUzbR8vDqk7NrqhYVsabpQQRSkVy8AwdJI0q6Tj+Zi6wS2zZSadc7XigR+TxIpbZyuULZ2qZSACcZpStk121suESbLh7PWjFNvQ6bgRaaowDaGhW0RRQsU2qNkWNccgThKUUuyslzE1nShWWHnVbpBNVNs+maVUGI/SuXvX2Zm364OsA7xQZ3GtVwQrKLiRFAL/KhhlaNw95bDQciEEQwOVQtuN2N3IQhZPtz3W3ZCZms3emRol22TgB5kDM8yclV4IJRMc00DThDU35K5dE0w4Fm4QbzgZB36MFyY8emKd4+suJUNAKUxDx0HD0oXZipCkijBSrHRcTBHCisUb99V5bnmAY5lMOCZxqmhUNcLYZqpqMwhSdIG37Z/h9OSA55Z0TrZcLCOL0feDiDhOKE847KxXGPghqVJ4YcrBPWXu3l5nsnLuqzQ+03eq4tDzo0zQKoWuxXzxuWUMXSOIU956yxQ9N+SWbVVOtrPRhSlCJe9E3rxrkn3TNWplnV31LCLo9Xvq/NUTS6wPIiZLCXEKLTfgzbfMbPhN3n3HHO++wOzb6apF2w0v2FkUM2sLbmaKt/sq2MjQqGnsn66y2vPoehHTVZOZCQddy1aZag0DfD/mwO46ALM1h52NMksdHz+MsA1AIBVBQ+OenTX6YcJELuhOrff5s28v0hqGrPUzc8f2yRIV2wQR1tyAkp49QsvQMXQNP06Iw4Q0huWey5v2N9hZr/DCyoDHjjURXaMzDHAsnZppYBnCkyc7HJir0fZCdE1nx2QJSzSW+x79IFsicWe9zLaaw1TFYK5qoRkafS8giBP+4onTvHbXJNMVe8NxO5rpO8rWOTdhM/Ri2m5AmCru2F7jzu0TpAr+/vAq333nNt64p8Fa1+PwUg8vjqmi2N0oMVMrsbPu8M47ttFxQ/7u2WWOrmax/Uql+LFOzdb5rju3b8rxev+BWRaa7kU7i4KCm5VC4F8FowyNjx5rcmxlQCeIGQYxk7bJ3umIVj/g7t11aiWDfbMVDO1sBosT630qZQMxNBxDo2wZDLyQME3wE2jkwuqF5S5/8LUFWm5A2dRIkpSOD6ny2TOlIxoYIix1faIEDMn8AAhMVQxsXcdPFT0/5pH5JrfO1pgqGRxeHeIaOhVLp16xIVXs31bhzh1V0gS8MEbTNWxL2Nko87Zbpzm8OsB1Q+7YUWOybNF1Y55f7rHSDZiqmuydLhPG8TlZNOtliw/cs5OaY27k43/nnTN4YUrNNjeStY14erHLD7z1Fu7d2+CJU22ePN1hreczXbM5uKfB6/dk0Tyf+sZJem5Ao2QRK52WG/PmfQ3ef3Dnpp2t+2eqfPRt+86J0tlsZ3ExiqifglcDhcC/Cupli0bZ4MjSgDBOGXoBw0iRpooDeoUwTjkcDChMAAAgAElEQVS2OuRDB7ez0PKy9WfTbP1ZP1SUDY3tUw7HWy4qjSBNUCpzBr/n9l10XZ/fe+QY880hGhCXbTTDoGLFhFFK2w2xTcHSdWwzQtchijOTUskWKraJJoqZks1y10fXhMVOSJokOLbOG/ZNceeOCd6wr0GSwIPPr+BHKbWywSQ2eCGrkeJUe0hnGLJvusK77ppjx0Qpm+oKLHVdZidLTFctokjR8WLqJeOcLJr1ssWH793Fh+/dtXHv/q+/P0L1vHxCVUdnqetvHHOxRGh//dQZwjRhplbCyqNvRIT55uCK4+v3z1T5+HfediWP/aIUUT8FrxYKgX+VPPRCk7t2TRJECc8vCVMaJIniZMvjOw7MMoginl7s8sF7dvFVgUePrRNECY2yyUzFoVYx0TRhqe3ioTFVMfnp776dJIUvPLPCmY6HqUGqoDMIGCZZvRpgBTFly8G2hYpTpWIZPL3YwQ9ARJGolMmSzWt3TvDo8TauH1JyTEqmgS5wfLVHzw/ZOVliz1SZe/c0+PJzq0AIpLyw0iNO4XW768zWbIIw4dnFLo8vtKnZJutDn1PrHge2VahYJiVbwx/As2d69IL4olk0O27IIIg4tOAzU7PZNlGiYusbSdsux/ogC+80zTFnq6Wz2g9vqLP1kfkmgyAhSBJW+jGgcMOULx1eIVUpH7xnVyH0C14RFAL/Kmn2Q3bXHU77MZFKKWkahgi9IME0BT1SrOd51cumzocO7sIxNZ5Z7PDZQ2eolUwO7p5k30yVthvwsXfcysE9U3z5yArrw5CypdONUqIki+IZkQJdN0FSl0rJZLbqcGrdRSUQAV0fWn5AtxJyuuWyPogp2bDDyicjORZhonD9mKPNPt8+2caLU9aHPo8vDGi5EZoo7t3dYE+jgm3prIYeT5/u0yjrDP2QMFIMg4hmL2AYpqAUK/2A9sDj9rmJjSyao/QM9bK1Mbnqrh2TfP2FJh0vou9HzFRtgiTdSNp2KaarFi03JIoUlpUJfTdMqFyhs7Xjhjxxqr2x+tZLTfF8uuWx2nOply1SUaz0AtIkxdE1+l5UrJxV8IqhEPhXySjzpaULpmSzX5NEUbV0okiRkC0bOJpUVM4nDN2zO8th//Vj65zupMzWrA1hf2JtwB89epInT7UIwphumCUMG8fRQBS4kcI0U46t9ogUVBwdI0pwA0iAtaHC0WJCIArAGvhMlCx6rk6apjiWzuGlPnXHwI8jjiz10XXYVrNIUvjm8XUWux7bJ0vZClg6hEk2e3Vi0iBJFac7LpMlkyhJGYRZbp9TbZc/O3SGqmNwuu4wUTZ51x1zG/dhdqJE2TJ48lSL1V6IaQgffcv+TS2mcv+BWRbWPNb6HvWSRazSDRv+Zp2t4+vrTpbsF+UOuhqhnKgUXdcQXei7EY5p4BMTKZiq2lRss0jpUPCKoBD4V8mH7tnJ7zx8jLKhMeloLHQ8ogR2T9h85YVVSobOHXMTLHcC9kyVzjn2tTvr7KxnppRvn2rzt08t8e8+f5jnl3p0BgkRmalcIxPe40w4gmPpDP2YKElYz+c7+VGCZWQjgBEVC/QQhimsuQrTUPSDhDvnapxpD7l1psSBuSqf+eYCZTtbVtENY/wowdCE9jBktlpioeWxe9IiVhplS2eqbON6IbaR/X9iPSCMsolMqKwtup7l/vny4RUAHj2+TpIqJks2M1WLt9+2jYpt0HbDTa+ctX+mykffuncjSsfWhffcuY13XIFzdDSHolFxcPJJV5dK8bwZbp2ZYLXr03EjBl6MIeBFCTvrZXY3ysXKWQWvGAqBf5Uc3DPFx96RrVbVD1J2Az0/ph+n7Kk73Lljgs4wYqXnYpvC9smzqQv8KBPLDx1Z5akzbZ5Z7LHcdmkOknMEtox9t4GyA0GkWHdjKgYYxln9P1SgJ+cKfDeEON9gANMVE10p3CihZBvsnykBwjBKKFk6hgZdL8DUhVRgbRhT7bhEUcDqAA7MmgzChLDrE6aKsqVzy0wF0bLZt1GcYmhZcgdLM/CimKW2z3NLXYZBggLixMMy4PByzJ6pEo08WudiSegutP1jL8HZOppDYTnmxjbL0PCi+Kr9ALfNVbCNOZ483eFJNyRJ4fa5Ce7eMUEtn09RxPcXvBIo3sKXwME9Uxzck5loHl9Y55kzXSxdJ0kVq32fhdaAVj/keNPlDXunODBbxjQMhkGEaJlWudr30UUjEY0U0MmEtuJcc04ABGOrAfdimDE1ylqKmwt1b0zaa4BokObbIuDY6pDtkxZva0wzVXUYBAltz8fUhM4wZH0Q0o/OvcbFnoct0BoG3DJdJk5SVJrSGYa4UcJzy30EjeWuxyCIKJk6jbKJpcuGoPvWyTY7JhxSQBODjhsyXXE4tjrkH79l+txUyALPnO7x8Atr3LatSpoo5iZLG8nprtQefnYRFp+uH9IaRHTdEKU0pnJHcZh3VFcrlA/M1ui5Ee9/3U6+6645nj7dQ6lsNbHRylmXWo6yoOB6UQj8l4mR5hgLnGxlk6SGXgSi0FC4UczjC23u3dPgvn1TPHGqTZwqvDgFUQRxpl2eb8K5FG6Uoo96iAvtP09h1bXM3PLo8Q7vuWuWb8y38KOE1UHA6uDCNVsCtYpN2As4dKpNxTJIVYoiM+f0hiHrbowXZy+TH8e4YUySghsrjL7PIIxYaA6JYkXV0QCN3Y0S+/MMnSP7fpKmPL86pGTqbKtaHDrZomwZPL/a49iaSxSnbJuwGIbJOaGecGFH7P7pLD2FUsJKz0cTAZUgAs8sdbhrboKyrdPzEnblK3BdDfWyxX37pphv9kkixZ07awjZ6MqxipWzCl45FAL/KrmY5tj3I4ZhwvHmkGEQ4Vg6+2cqlCw9y4PfdRkcTXjydIvWMMb1E7woJQgvL+p1wDbOCvLzBfo4F+oDwgh8LaHZH/KZx3y6w4BBcK7p6HzWfej6ASUTTCBNJTNJSYobxPQjqOpgC0Qqa6MlGqt9n4mSwfF1HzfI2pOSjTxumy0xVbPouwkPHVlF0zX2NEocWc6EvWPppKnQdWOavZBTbZc9jTIlS2elG/JXTyyyd6pElCoGfszQi3nyTIf1YcBU2WKmZvOthTZ/8+Qi2+sl4iRhqmJTr9g4pk61lDBVtTndcdndKHPnzpe+EHu9bBVO2YJXPFtS4G920ZJLHX9ooUXfS/jW6RZRlJKqBJXCYyfbOIbQ7Pn4sULczIG33Pa4Za6Grgv76iUmHYPVrkfJ1DjWHOAFl19qMuHSQv5CCJlpSAOUQDeAdhBTtWLCKDvn5bqaGEjibBUbkWxGsKizjmU/gaoFSQRBDEmS4lgw8GL8MDMnja4uBZY6Hottj7ffto2Ol00cm63auFFCLc9hHyaKVCWs9nxsXaNWymzuiQiDIOQzj53iQ/fuRteER441We4G7JuuYBk6p1oeYZzSHkbMVizcKCWIXBzToGTpBEnC/QdmaLvhBSd4FRTcrGw5gX+hRUuu1C483+yjlPCVoyssdz1ipTAQlFLUbIPlno+fKsq2gWNoDP2IgR9SsjQMXafdC7l1rsqBuRqdYciptscwjIj8TLi+3GhkphlNgyCX7oPwopagC+LlEjsNUlKVtVPPPxHQCTPHsqaBJqALBLEiVfnIgOwYAfwYhmFCo2LS9WIsQ+er802OLHYJ0wTHMHAsEw2NnhczXTNRKmUYJKwPQgZ+QBJnawM8carNSj9gEMa03IB6tcaw66NUQskQBklKvWTihgmrfZ8dEyXKlo4fpVdss3+pikJBwY1mywn88+Piy7a2sX0zQ/Ksw2hzeKnLoYU22yYdJkomQZhyYn3AnnoJDcWuepkkFbwgC8eLE8XTZ3pUHAPfj3lsYY1G2eKevXXu2l7D0oUT60O6wWUacIUosth9U4fhmEP2SoT96DwA/thA5PxzxECSggNYhkHbixHAMrLjjSQbZehkf8M4JUhier0ApYTJksUzS10sI+aWGQ3TzFIqG5qWrR/gR9RKBl6Uxbp/+blVlKaolwy8MOF022f7ZJkkTYlixbaajQATJYO1vsfxZsRJZ0DFNji2OuQ7bs0cxpsR2leiKJxYG/DIfJP1QdbJb58oU3OMopMouOFsOYE/WmxjnM3GSY9+9JahcbLlUbL0PK1utl/ThOPrLjGCH8QkSmi5EUpBGGeacC/KdPiKDj035NDxNtO1Eh0vomIZdIPL6/gjM83lygiZUPbScyN4Noue17PZQxOyF0rXoR/EWRgmkMZgCsQq++hApx/w4OEVBkHmtJ6uOkyWDN52YIb2IMILYuolnTfsrXOy5SOQTxJLqVgmkxWTqq3T8iIaJZuulxBGAcsdlzhJCeOUmQmH12yrcbTZ5/jaEDdMCWODsmVSsYQw3fzobrOKwmjt4kbJYrJkcHhxwHNLfd531xwl07hsfeePIqYrNuvDoBhVFLwsbDmBX3UM/Cjd+MECLxreX2zoPvrR3z5XI0xSqo6JG8as9HyUUkw6JqthgAG0hiG6JiiVmVRGyrWZf3cTcAwYBBG2lZl9gujydvyLTcg6n/PDOjWuXKsf1WGRZdnZDFU7s+NXTSFNFW6cn0edbU8CnFjzeX7NxwFKNtRKJnGi2D9bpaRnC6QjcNtcleOtIU8tDbB04d5dde6/bRuPnWihI5QNnTBRNMoms1WLpa7HpGOxe7bEHdtrOKbO6ZbP3ukaVVtDJEsrWrZt2m7IvqnqpkZ3m1UURmsX1ysWJ5oDpmoWYZzy1JkuH7gnm2B2sfrOH0Ws9n2+8nyTe3c1mKmNrZlczvwZRQdQcKVsOYF/YLbGoYUWkP1g/Sg9J0569KNLlOLU+pBDpzqcaA4oOwaWrnHbtiphlNDxAoZeQtXRSYHZqoOGsH+mglLw3HKHIFYbmv2IiEzoK2AQ5EJQgjzxGThyrtnkfBRXFro54ioU/A2uZI5obxT1I8L2usVaL6AXnm2zkI1u/CR3+AJ+AG4cYQo8fbLD9qkSaZxypuPxmb6HpsA2BcOyWWx7ANyxvcaJ1hDLEPZOVVCAH8W8dvckH7wnC9mcb/Y5tNBG0+Cu7ROcanmUbY04VnS8EF23Nj26u5yiMFISHjvRZuekjWlki86XbQ1D01nrZ7a6S9V3/iii7YY0ShbrbsC2SYdYxZzp+LS9kNfvaVyV/6lga7PlBP54zHTbDak6xjk/mPlmn0QpjqwMOLrS4+TakGGcEA5SRIQjy32mqia3NCosqCFekGCZOjNlE9PQGQQxSikcXaPlX1jMKjLBF5Fpzz0/19pV9kCqRmYCCslNJGQTr14NpGQdWs9N6boBaZr9P2q/Ai4U8h8mWRkD6PshcazouWnmA7BASxWDMCLspPzpt07yj960lwnX5JaZCkGU0HFDEI37D5xNszBaKazmGCgllEyNKFEkacrCmsfQdxBg33Tlstd1KUVhXDOfq1n0g5RgbYiIIkqyxdQnc638Us7i80cRbpgpFMM8ZPdM22OipBOlamPNZNi8/6mgYMsJfLh0zPTAj1nvB/S9kM4wRDSNqZJFlEDfC4jjmM5QYRsG2yZKrPR9PD9mZRhy60yVdtvnTGtAy0tfpImPzCrnW+nHQyNDMmEPWadQtSFOMjv4yExzNRr+9SQF/DTrqAztbHqHSzEa1GhAECQkadYBCKCnoNAI4oQwTnj6dMSBmRbve912nlvqoVIhShQrvQG//oUjvHbXJO+9ezv7Z6pUHQPb1XnyVJuOl3B6fcggiqiaOnfNVXGDlJ4bXdZ5eylF4fGF9Q3N/L5903wxzx9kaopWPyFIE95319xlZ92eP4ooW1nq6EreQbhhgilC2To7yijy9BRcCdrli2wtqo7BYs9nseOx1PPp+wFxqrAM8BOVLRCuIE5SDE1nwtRpVC1UnNLsehxb7dELXizs4cVmFY1La+4K6AQwyM1CMa98YQ9ZG0fOXkO7slDTip0db+aqiCLrAD0/zcxe+Tnn14b8+aFFZqsO+2crLLZ9SqbJ9prDmY7HZw+d5sTagOmKzfG1IYYIZ9p9VvounWEm3NtuxK3bKsxNlphv9i/btpGi8K475njjvumNDmLgxzhm9lPaWS/zXXfOUTaFlhtz61yZ99wxR8ky0PVLz7o9MFtjGES4QUyapjTKFm0vZLpsk6YpGlmuo92Nc/MyFXl6CjbLln1TLuaYna7YLLWziTuOBp0IOm7E9kkHEYVuCCXLoGwZ9PyQtWGAoeuUKgbH14e40eYF3Euxq78aSIHhFU4saAcwaUKKUNEVXpIJ+SAfMQwDmJswSFM4vjZA16BkZSGPtbKJ68e0eiFhlPKpR09w/4FZbpmp8IWnl5iqOFiGSc3K1v/dNVWi60Vsn3BekpZ8vma+s16mXrLQda7I1HL+KKJRsfjIfbtZHwa03ZA902X6voUu2ZrJ5/ufCgoux5YU+BeLqb5ltppFWVQy7c8wDIwwJSGlPfQpGRpeCAM/xNaF9WFAGClqFY1EpTT70TWZOPVq5vJxRxkG2YgnBIIIdEOhJAvnHE1CHkX7eFHCydaAYRjR7Adsmyhx354Jjq32Od32KFsacxMmnUHEEyfb1ByDbZNlGmWDxY5PkqQEsaLjRhj6xSdhbXai1eUCAa6EC5kbx9NHj9p0If9TQcHl2JIC/0Ix1T0/5O+eWSZNFbfPVdk24fDsYhero7HS93DDhLJlYCBEacpyz2cYZLltkkTRGoRoVxP7WABk2rtpZPb6qZqOHygcSyNIUoLh2ZtqAl03xdRTNIFmFLDWD5A0wbYMbF2olxxOtHz2NEo0KjbPL/dpVC3CWDFVtjnZGmLrQs+P2FZzLiicRwultIcBSZqiaxqLHZ93XiD3/uUCAV5Oipw9BS+FLSnwLxRTvd4PSFNFo2bT8yNWeh5dN2J2wuY7Dkyz0HY52Rww8CMc0en52dqlgxgG/RidwiEywuCsHX+zBGS2+m0V6LsJmgYlw0QpxbaKRhSndAM2FodJEpiwNWolnWY3Yn59yL7pCnsbJcjXF56u2twyW+GZ010cQ2N9GKCLUC+ZJCiCIGXPdPmCa+/+yWMneepkF01XTNgWZUdnbRAy4RgXzL9TCOKCVwNbUuCP21xfWO7y0NEmh5f7zJQt3nH7LIdX+6x0fFSa0AsyG/6OyRJeTB4ponDDc+PrN5OEbCswyrx5JcJ+hCILUbV18AI4Gpx1aY8PnkaRSm6YYmqKkgWWrtHxQoI4pV6y2FF3WOz4VJ0h9+1t0AtDJh0TP06YrtlUHZ333b3jRattnVgb8Pmnl3nwhVXCOGFbzaHrR1iWxrDv8eRpeckJ1y5lKuq4Id8+1eZonub59rka977ETJ4FBSO2pMA/MFvjc08t8ch8k28eW8M0NExdY6BrfObxM+ydclCpAtEwgc4wpDUIWOl5KBR+dK6wLzjLKJ3C1eIlZydljXMhS1mgYBgqEpVNunJsHS2Pour6MTvMbAZzfarMW2/b8aIUBZAtXDPaZmrCZx47RZxmaS9KpsYwjJksWVk8v22y1vMv0JLNc6mcPJCtgnam4zNR0kEJz57p0PPjC5qSCgqulC0p8DtuyOGlDo+fXMePEkSTTMCIsD5waQ2GzEyUUWnK9okyE47B6baLAF6YCZSCa8dIg99MzqBhPqwygChJGKQKL0mYUTa2DtvrVZbaHs2Oz23ba+cI+3HBu9YP+dunF0mUYnejhKUJSz2fWpDQ90Kmq2UsQ2OmZm/UfTXZMy+Vkweg40XUywaOle3XNKE9DIrJVQUvC1tS4H/h2WXCCFAasxM2hm7iRTHdYUjfUyhgZwP6sXCm57Jn0kHlOVgSdW1SGBdcPUKWl6jvxagUKrZBvWTT7IV8qbPIUs/DMgzedfssr987Tc+N0EU2Vtk6sjzk8HKPlhtRMjQGYQKaTpqmtAcBPV1DpcL+aYeDexrAlafZHnUOjxxdY1vVZu90hVopKzc+eSpOFZV8TQAAy9Twouiq19stKBhnSwr8+ZU+jbJJydRJ0hTHEswEznR8ynY2M1QTnSDyEaVYSHz2T1VY6vkEkYtfGOuvCxfT7kcJ6EYjAJ08D5FhMPBi1vox68MuJSNL2QBgaDHfPt2hG0S86/btNAc+d26vbiypqEmW8G3dixg0I0QpJpxsOcWSZVArmURxggAPHlnhTMdlrlba0NQ7ns+jx9f426eXOLi3zv0HZjf8A+ekXpiwcYOUw8t97txeo1ayzgkLNbQsFYOTz6YNoyxCqJhcVfBysCUDS2xTJ07h1pkKfqzwgpi+FxLHYOgajbKFQnBMDRHwk4QwSYnSlKptUlhSbxwa+Wxb8hz7+XY/gvYwxkvyWP40W5TFTbKIniiBhdaQky2Prx1bxYsivvx8k4XWkKWehwhUKzZl26DnRtimECpFEMXYhmCKsNoLKJkGjbJF34s5sTak54csdly+9NwKooSqbRBGamOmL5xrxtmdJ3oT4OT6cCPdwoHZWmYSKpl03Bg3iHD9mPbQp1Gxr3q93YKCca6pwBeRuoh8WuT/Z+9NY+xK0/u+3/uefblb7cXi2uxu9t6ztDSbZ0aOJI80sRPLkA0oNozEH/TFCBQYURAHVj4IThAEARIhhgQrCRQ7jmPJSRwFiWDFtqyRNKMZeXqmF3VPs5s7Wazl1q27nn158+FUFavIKrJIVnU3p88PIMi6PPfct6rufc57nuf//B/xnhDiB0KILxzn6x2WH31qmn6YsNByODftkOY5k7SkYcFMw+bFk23mmhZTnkWqwNQEZVnia5KNSfZQ7pE1R0tJNYx92ya6aVfpHE1WRdz9br4Sqru2OCuxNcGbtwYEcc4gzHB1SZGVDKIqyL640CArSoZRgSEFnz4zxdkZn1uDiKsbIT9YGTJJc6Y8C00KlvsRb93cpGEbWIaGZxu0PZOOY/Kty11gr/VC0za5sNjAtSTrk2SP3ULbNfnyhTmeO9EgTAvCLOeFpXZdsK05Mo77PvFXgH+ulPpZIYQJuA96wofBl56eZRznXFofMd+06Xg2RQEnp23+dHkEQFmWDMKENC+Y9S1ujyLGUU5RN1Z9pOhU4xO3xyVKoaFrBflWpD+o0JsBWlZdMNK8oO1bLHQcVgcxmYJpx8B3XJq2wUzDYRikzLerwekrw4RMlczYBtc2Aq5vBviWxjDK6Tgmm5OUlmOQFCVn21Uax7c1Vobx1r/3Wi80bZOz05Lzc417CrFt1+THLszzY/Ws3Zpj4NgCvhCiCXwF+PcBlFIpD2etfmy0XZOfemmRy11/z2Shq90JohR8/8YmwyRjZZRgCtgcRyR5SZjUcsyPmpy99spFWRCnd2YI3E/VEwNv3RrQdgzeutnnx59fYGKXTOKUNFesDmNOd1y+9tIC377UBQTrwxgJzHomtqmxMow4PeWBEsw3bNaGISWCJIfz8/5OwXUSF0z71a78KK0Xamoeh+Pc4T8FdIHfEEK8CrwO/IJSKth9kBDi54GfBzh9+vQxLmcv252R2+qJd5ZH3B6GrE8i4kKxNoygqALJZlJv6z+u9JM7zV6HwTKqJq3eOOX/+v5tbFPi6Bp5WdIPUnpBwqxnMtO0kUiioqRpaZiaxvurExqOxDUlgyin41l89cIiUZrzfndMlhfkehXs+1HKzzx3EvhwrRdqau6HUMckKhdCvAZ8G/iSUuo7QohfAUZKqV866Dmvvfaa+u53v3ss67mb7Y7GN2/2sTVJtmWo9XvvrXF1PSCsY/wTx4N0+wJomVR21ghmGzayLPEckw/Wx5yd9miaGkGmiPOcZxcauLpGkOZ0Jxm9ScxCy8a3DKZ8ky89M4tv6tWoxGlvZ3D5tG/uUenU1BwnQojXlVKvHebY49zh3wJuKaW+s/X1/w78p8f4eodmWyZ3qx8x61vc6EWsjSMGYcogiutg/4TyoK2LolLuRP0UxwKBIkxKfDul5egMopQSg5ZtstC2ubkZcXbG5Wov5PS0y8mORVYKsqzkUyc7NG2TMKlSgmdn/DrA13zsObaAr5RaFULcFEJcUEpdBH4cePe4Xu9h2JbJlUR4hoYSsDaMGMY5o7AW2f+wUygIYpCkzDcdpJBM4gyJQClBnClOdxxKZfHMfIMvPz1PL0zojmM2RgnzUw6bQUKQ5XzvWp+Go3NxdVTv6ms+9hy3Suc/BP7XLYXOFeA/OObXOxTbbpmuqZHmJShFd5KSZHltm/AJIKd6409iWOoISgW9SYquCYI0R9Mk/yJKOTflcXsz4qUTbeZaNs8vthjFKbc2A964MWBtENH2LZqOxiDI+Gffv8XPfPpkHfRrPrYca8BXSr0BHCq39GEiFLxxa0CQ5HTHMYNJyiROGEYlSd3B/olAA5ytyVphmpOVkGaKVKt8T7MsZ1UT+LbGlY0JWa4IswLXqAq4vSDh5IzPlGeQFYp+mNFxDb51uVsH/JqPLZ+4TttBmDJIMoI4o2UZtGydH6yOSAtFmNcWxz+smFSWDBrVLse3QdMFvVFMmhdMOxqILVsNBaVShFk14Pz3f7BGkOR4piRIcv7o8gYSScc1kFJiGRqWIQnTjN7kY6E8rqnZl/vu8IUQY+5TC1NKNY98RcfM5e6YhYbDrGdxqx+xPkoxNYEuwdOqVvw6q/PDhcHeeQUS6MfQMBSWq8iykhKNKV+jKBQKSV7kKKXojROaroFn6wRpgWfrnGw5XMvHhGlBw6n2TIYmWB/mvHiy6i18FCfNmprj5r4BXynVABBC/DKwCvwvVOq2vwo8keYe2/n7SVoSZhnvr40YJxmDUIECi6pBp+bJZ3toiqSyXii2BqGblfEpui4JY0XD0slVwSQqMTSwbR1T03ENgyDPCeOc5xdbO+dVShGlBcO4asNzTY1+mJGUJV88P3uPk+b6OOY3r93gZNthoW3Xwb/mI+OwOfyvKaU+t+vrXxNCfAf4r49hTceKUPDHlzd4f21S5W7zkjgtkAqiemv/Q8Vuda0mq3m5OmLrv5UAACAASURBVCAlmDqUKLJCsRFkaBImORg5FCplxrOI8ow8V1zrBfzh++vMNCyWOg4znk2/kfH8UpOLK0Nu9yNsS+Ovf/4MZ2d8Xr/e2zFLG8cpNzdDLK0aplIU3NdGuabmODlswC+EEH8V+CdUGY+f4wlMd2/n72/2AsZRyiBMudGfMImewG+m5tBsz8vdHqySFFXqrm1Vu/6sBFfe+TAEKaR5QtvXEUqRlNXoQ13CxjjhZNvhay8u0AsSOq55T8pmdZgwidKqY3sUM+NZtFydcVLs2CnXA01qPgoOG/D/PSojtF+h+tx8c+uxJ4LtfOr3r/exdA3X1FkdDtgMU7JdgaDmh5e7b94UoFCUJbgGuJaOqeckeWW1XJRVXl5XGqenPUZRzrVewKm2y/o44XovwLf1e+bNDsKUlX6Irkmajs7VNOd2XqBwaDoGsHfgSU3Nh8mhVDpKqWtKqX9XKTWjlJpVSv1FpdS1Y17bkbCdTy2Krdt6Cdd6AVFWYOmSjmc+lBdLzQ8PYVJd6B1DoGsK2zKZ8gxMDWwDJJKWb+JZBo4huN0PWR1GjKOUjmvupGcGu4L35e6Yc7M+CkgLRcPSyArFrUHIUscB2DPwpKbmw+RQAV8I8awQ4l8JIf506+tXhBB/53iXdjTsHj7h2wZSSMqyGmOYF1Cq8uNh4VnzoaMA36oCc5yWUCh8U8fQoe0ZdHwLQwr6QUqpBGlWoqRklOZM0hzX0imU4nfeXuYbF9d4/XqP1UHCbMPiwmIDTQpcS0eokqZl4Jv6noEnNTUfNofdZvwPwC8Cfx9AKfWWEOIfA3/3uBZ2VGyrcgBOdlzeWxmh6xLf1FlPIjbGdTLnk4hGZXUdJNuTsxTCyVgdZniGwZRn03F1Plgb45k6aVFQ5CUrg4gTUzZv3ehjmzrvrQwxpeT0lEdRwO1hgGUIFlouzUUTaLE6DFkfx0filFnLPWseh8M2XrlKqT+567Enoid1e/gEQMM2eW6xScvWCbKcvABLq6SYNT98CA62Tt6+zNsaNLfeAHEG7YbFM/M+LVvnejdAKfBMjTgvkJpk1jeQCr59eZMrGxN8S8d1DD5Ym5CrkvMzTS53q9GFZVkSJjmaEHz95SW+emGez56Zfqxgv52ePCilVFNzPw67w98QQpxnq/YlhPhZYOXYVnWE3D18QhOSpY5LdxQzjHKyolJx1Dz5CKBpgGVqCFFNtorTqnu2YK9ME8ASsDTlUqDws5yyVLww30JKCLKyUuA4Bm3XYqZhIgSsDWK6k4wkL3n31oiFts2rJ9s4psZyP+LCfIMoc9A0jtT7fhCm/M7by4yjjCnf4mTHpWFX56wVPzWH5bAB/28Cvw48J4RYBq5SNV99rNm+/Q3TgkvdCXFW4BgagzBheRhRlgUtT8NIC8b1KKsnGlvAQksjyARSKlxdkuclmqZYaJn0JinB1ojDHcWOgn6Y0HYNkryk5eiUQrDQtFEKzj4zzThV3OpHmJqsOrI1yfrmhBnfJs4U057J+iTBNjQSqoLsQts+0gC8vbOfRAXTvkVewHsrI55bbOJt+fHX1ByGwwb860qpnxBCeIBUSo2Pc1FHwc7tr1KsjyIuro6wNZ1PnWnyJ1cSxnHOjGdRKEFaJpUYu+aJRQCjuOTCYosozRmnOa4j8UpVtdUCDQPiApKtBizLgDArkLEkzwsalsdi0+bHX5jnVj8kiAtmGzqeqbE6jBjGBRLFp091MHR967zVJeRWP2Rpyj2W0YXbwoOOb5IXJbZZfWxv9UPOTPm14qfm0Bz2nXJVCPHPgd8Efu8Y13NkXO6OKZTi5mbE+jhhrmGTl4rffWeNIM6Jk5xRkGOYENZeCk80FlX3bBAr+kHM2ekG2WaIZZZMtlQxcQYzDQ2jKDFzRVFAWUJRQKgydAm+peHbVSE2zUo2g4zPPTXDiaZFmOY0Ecz4BqamcaUb8syCT5aXvLs8ZG0SM9ewODfrH0n6ZndhdnUQc2rKZanjcHFlDOTomqA3SZjxrHo2bs2hOWzR9gLwL6lSO1eFEH9PCPFnjm9Zj88kzumNExxDo1QCy5BoQnC7HzGMEjxbEpcwjp+Q6nPNgQhRBfymC+O4ACFouDpRljOOczqOxemOBUrgmAbzTYupholhgGtVQfwzZ6Y4N+vjGjogcS2Ds3MeuoRcwQuLLV5cbGLrBpau82efm0OTguubEVNNi596YYGXT3a42p08VhF1v8Lscj+iO05o2mYl99Qkm5OMhmPUFg01D8WhdvhKqQj4LeC3hBAdqo7bb1Cp2z6W+LbOIMrwLJ1ekLDcLxknKSiFrmvEBdh61YhVO9o+2bQ9DYlAympe7blZn7duZJxoepyeEjQdi7ZrMIkzNiYxmhBsRilnpz2eP9FivmnRCzLmfAvP1neM0sIkR9PYk49/5XRnxxhtEKU8O+ejUFxYbB6JbcLuvhEA15I8NedxtTuhYVda/jNTHjOeWQf7mofm0H74QoivCiF+FfgeYAN/5dhWdQScn20QZwXvLo9oWhpKlYzjDJRiEmdkRYkASlXbKjzp9CcFYZoziHIk8PbNPuuTkEGUsth2SMsCx5BMewYLbYeWZ/H8fIuffGGep2Z8pJA0LQ3f1gjTO+8G25BM4r33f223CrSaBmujGMeUPLfY3FHM7Pech2ES59jG3o/lXMNmsePuKH80jTrY1zwSh9rhCyGuAm9Q7fJ/USkVHOuqjoC2a3J+3qc7ilFIljo2CsXVjYBJnEIJui4wNcG4Ltg+0SQAKcw2dcpSsTqO0RGA5FI3YMYzUSjGScmnT3f44vlZvnW5y9ooIS8TfNNknBSUKmG2ae+c9yALhLZr7uzgi4Kd3fj9nnNYtvtGXOtO0I+zkoWWVUsvax6bB+7whRAa8BtKqZ9RSv1vT0Kw36ZhGfz0y4u8cKLF0pTP0/NNBAqErD5QSjGK62D/pNMw4cSMhUSQlsXW77VA00ATW2m7uOREy+brLy9xdsbni+dnAZj1bGYbBr4peG9thCW1nYapB1kgnJ9tECTZniarx7VNOI5z1tRs88CAr5QqgD/7IazlyPFtHUPXef5Ei2fnfCZxzpRvc7Jlk2SKMIGozud87NGoplbdzfabt8hAlDBJM9JM4RhbYwc1wZRrkGQKKQRPz92xIegFCedmPDYmEW/cGBCmBV94appJlt6TNhmEKa9f7+345WwXZXend44q1XIc56yp2eaw957fEkL8PSpZ5s4OXyn1vWNZ1RGx3WU7iqsP7MXVIb1JihCK6aZNkkf10PKPGRpVTUWjapAqd/25mx3rBAEbk4SyrNIfM02DU1MmrmHQjxM6jkHH0/jDS12ubExwTI1+kOIYkpMdn6fmJGlWEiQpCy2Pr16Y35FGrg5ibg0izs96zDVs4qzcM8Bkd3rnKKi9cmqOk8MG/C9u/f3Lux5TwL91tMs5Wtpupdj4l++scnuYUBQljqGxOUlxLclj1NZqjondc2clVX7+oEFkJdWFoaTqm9NVJc+cRCltR8fyBNkEzs753NgIWBvGDCYJbdfk8saE+abNF3wbKQS2qRFnGsM42TOisJpSVfDHl3rMNGxmGtXYwuOwM7h7NOLdF5eamsflsLLMJzKlA9Wt+yunOqwMQ+LU4lovoJSKYZzuu2us+WgwAEuHJK8CuK6BawqcUjHYZXa0PadWY9ddQAmeDkjBfMuh45qUSvDByoiOZ/Lu7RGrw5iWY+DYOkhoOAa3BxHvr495dalFmpeUStGyrT3SyI1JwmaQommSKMkoXIPrGxOSzIMzR/sz2E+Suf14XbCtOQoOq9KZB/5L4IRS6qeFEC8AX1BK/U/HurrHYBCmvHWjz//7pyvowLV+iAGovKA3TAnraP+RYwJSQFzNj8c2YLZlcqLpgBAs90M2gxSLqjlue/dvUFkb6wJcE5IMkFCWirxQdFyTOd/gD94POTFl0B3HDIOUNM9pWDopilnfJEsLPrg9oigULUfn2bkmC217j6V2kORIIfEtjSAtKUrFrUHMzV7EQtvaSbkcRSpm9+tuU0/HqjlKDqvD/5+B3wVObH39PvAfHceCjoJBmPKHF9d5Z2VE29YZxSlRkrM8jBjWeZyPDSlVsIcqoAslKArFKC1YHUXMNi1cU4CAti2YssGU1UXCpOqwjTPQNFAKmq7BKEwJs5JLGyFPLTZpOiaLTRfH0tGE5FovRAGGpjNJM3zL4FOnWsz6Nld6E6Y9a4+ltm8blKpkEhcURcH762OKQjHbsnbsia9tTI7Etnj3625TT8eqOUoOG/BnlFK/xVbtTCm1e8P1seNyd0w/zuh4JqdnfDIFhiYZRSkKhe9q1BnRj5a7fep1IFMKXQg2RhGurrM6TMkLiVIQZ6oqsJdVs5ylg6mBLquLwJRncnba5/kTbUwNWo6Jp0uEgLan0zB1kiwnSjOSNGcjSFia8phrmry3MuZmP8Q1NK5vBHukkdOewZRnkRclcaZwDcnZWY+5poNr6XiWwbcud3dSMVLKnccvdx/OY7CWZNYcN4cN+IEQYpo7fvifB4bHtqrHZBLnFEWJqQk8q2pF1yQIBFle0jB1zHrT9EAkx+edsbsQqwNTrqRhmxg6ZLnCMSUd18AxJbMNDSUgy6tdhqGBZUrmWhavnWnxmbPTfO3FEyx1XEwdwqTkxcUGhYJn5nw8y+DMrIdnmzQdk6xQNC2dMx2XEx2Hp+cavHiiScMyePNmH2BHGumZBrqUfPGZGc7PeZyechGInfm0tiHpTdJ7umMfpeO2lmTWHDeHDXt/C/i/gfNCiG8Cs8DPHtuqHhPf1tE0SVoobAlnZjyubwZMNUwmcY5paJQHST9qdnhQmUNwJ3Bv59UfBUEVpLMyYxgpDK2aM2vqGoaU5ELgmyWppvAtA02TnGo7ICWTLMehRNMkS1Mu68MIXctYGSVc3wgoSlhqWTy70ODUVGWGpgmBa2uMgoy2Z2Gb1WVNagrL0Pidt5dZarv4ts6XnqkatC53x1zrBmQaXFhs0NyyUoizkmnf3Lc79lFSMUct86yp2c1hVTrfE0J8lco1UwAXlVIf25Eh52cb3N6MuDWIaDs6KMHptkuWKy7FE25thhgHzb6rOTS7r5kPejNsq2v2IwOyAqxCoWvQtA2W+xEnp1wQijDOkVJgG4I0zzHQODPjgYK3bg2qQSaTiELBrUHE8wtNRmHGSydb3FgfI1CMs5xPLU3RdPQdO+F/8K2rKFVSloK0UGxOEsqyZBJC58ReWeRnz0zv9HXoQlKWJXFWEiQZXzw/y9XuBKh29tuP17bFNR83DpXSEUL8ZcBRSr0D/EXgN4UQnznWlT0GbdfkyxfmeHGxSZiWhGnOl56Z5Zf+wou8vORXnZiWxP2oF/oxZ/c10dz6+u43zH7Xze3HJNWOwhaVouZ+uwt964kNV8O3dOabNuM4o+VYTDdsWo6BZRo0toqwvmMy07L5yoVZFtoOYaaI8pIXT7QxDY2nFxq8fLLD55+dY75ls9CwCbJsT8PUp0+2yRSMkwJNChxTx7dNOg1r31z8QSmXszN+nYqpeSI47D3nLyml/umWB/7XgP8G+DXgc8e2ssek7Zp85bl5vvLcPFApd9680efmIOH0lIdnG2yGKTc3JsQpPOkzULYbkBR3ulW3HzcFRI+QwtruZN09FvDuXbradaxGVUid9k2yoiBICkytek4UV6qcA9cvwLbgufkWUkryIudqL6Vt65yd9mg6BpqEt28OcC2NssgZ5QKh4M+/cgJnKy3TcU2+f3OARHF1Y8JqP+TmZsyJto1v67x0YsIbNzMurY2J04IcxSsnOsw0TP748ga6lDv5ebhXFlmnXGqeZA5btN2OH/828GtKqd+GJ0foMghT/uCDdd5dGWJpAksXxHlBkuU4lvbEB3uofkE61S9lOwibbAV/tf9O/EHstjQo2L/jdbuoq9iSVgLDKCVIChQgNElZVh2z9ysA5wo6tkmhFE1HZ6bhcLLj8fRCE01W4/wsQ+eZBZ9JVnClF6EJWJpyuLZRSS23ZY1KKS51A/qTmMvdEIRikmZM0pxf/b0P+NYHXVxTY8qzKAvF28t9bm6GNBydszPeTn4e7uTiD/LTgf2HljyKLLOm5rg5bMBfFkL8fSoP/N8RQlgP8dyPnDdv9Hn75oCbvRCB5PYwoTuMkSiS4oejA6tpVLvk7Z22AQhZyRYzDrYnOCyWAFfuDdr21lXEoHoz2FuvGaeQZuCbAkMKCgUNvZJP7ocjq6arxY5LxzFYHcUIofjLnz3NhYUWZ2Y8XjrRwtE1HMvg2Tmf8zM+rqnjmQZKFQjuyBrjvHLMvNINkEIx27DRNY0sL0EI1icJrmXg2jon2i4dz2ShXTlpSsE9sshpz7pvQN/dIfuwssz7XUhqao6awwbtv0LVePVTSqkBMAX84mGeKITQhBDfF0L8P4+4xsdiEKa8ebPPKErphQlCQIliFKV0xwlF9mTLdaqBfJVUUdOq4C6AuZbOS0tNfFsiOfwOX1AFYEkVyNtGdTGZbumUqnrcN8DbanaSgGnAlCdoeYKWY9ByJS1Pw7FMOq5J0zFoOjq2KXZcL7f/bprQ8XQ6nkEJDKMMUxd84fw0hVLEWcGtXkiUpuRlyemOz0tLLSxDbFkewCun2sCdHLuOYK5pkRQl0w0T19I41XFJC4UhBdGuISemISnKkkmcH5ij7wXJfQP6fkNLDiPLrO8Maj5sDqvSCYUQ14CfFkL8FPBNpdT/d8jX+AXgB0Dz0Zb4eFzujmn7Fm/d7HNjEKFKVaUYckVWVOmOJxWLO6mUMAY08IzKW6Y7zNkcjTB16Nhg6BqTpGB8l5zG16vArWsQpXfuBnTA2cpsCAGeoZN7Bf2JIsuqYyTVXQUlJIlC10HTFCiFaxlMuRYtzwAi+lGClAJTV1gCLF2Ql4q5lsMkysiygiTNmG57oBQXV0acn6vGD64NLZb7AR1PsBkmWJpG2zVZ6lRl939zrUeUVd2wC22LpxcalAVcWZ8QpDlpVnIrDhnHGWmumPHvpGzSrESTckdCuV+O/kGWBwcNLXmQLHP7ziBXJRfXAsK0qC7Oss+PXZi//y+/puYROKxK5z8H/gEwDcwAvyGE+DuHeN5Jqrz///g4i3wcJnHOnG9yaxAziXKKsiRNc7IcUI+uHf84kFAVQi3AtkEqGGcQFFXuPVUwzKAXwyAsCPb5Zid5lfYJ0zs/i6KszjtMq8c9U3KrH7M+USRUx6VUhe5CVZLKooQghsEkZxQrpFQEac7VjTFBlpHlBZ4hQVV2CJNYMesZTMKMvCzwbYMpxyJLMzQhePf2mI0gJkhzoqIkSEs2RzGeobE6iLnRD3h/dciNXsDaIKVlm6wOA/pByuow5k+udFnquIRxwZWNCcubE6ZcE6VKcqXojmLCOKcfxHQ8677drA+yPHjUDtlJnJMWBRdXxhRFScPS0CS8ebNf7/JrjoXDqnR+Dvi0UioGEEL8V1Szbf/uA5733wH/CXDgO18I8fPAzwOcPn36kMs5PL6tc30jxDd1NA1GUU5GiWMBZRV8njR07hRTNcBzYNZ3uNaNdo6RgNRAK6rgnJZ3ZJK7Q4kGWFva8YYBrq3Tn+Rou2b9GoZOMa6e5WpbHjZ5lf7JqFI+pqkRJQVFCYttk6Zt4JoG66MS35KcaLokRYFnl0RpgaVL8kIx25RIIZlyTebaDr6p0x3HnJv1ubo+oe1ZdBwTcxZ6QYprmZyZ1diYxDimwe1+xAtLbaZ9izgt6IcpaVHS8U2mfIuVQYgagZQCQ5P83OfOsjaKuLUZcGra44WlNq+e6txXQrmtv4f9dfbbqaDL3TH9MMW39UPJMn1b593lEY4hsbdav6VQx2a/XFNz2IB/jaomty1osYDL93uCEOLPA+tKqdeFED920HFKqV8Hfh3gtddeO/IEy/nZBn/0wQYtz8BKBQKJjkBK6I6TPRLGjxKdKjVzN3evr23C+fkWgyiFsmB9ktKyLRY7Lsv9iDQHW1bFU0MTpEqhb10dHAN0TUCiqls7AZYpsE2DJE8oFSy2PDQZIZUiSDNKBQYSw6wW2PYMQFAGKbYOYQLTnolrG/RlQpjmmLpkkioatqRlG5ycdllouzy/2KRUipV+gG0YhFnOfNPiT672Odm20XQNVZZ0x4KGqYMQnJ72aFgaby+POD9ncX6uQVmWfO96yadOt3nj5pCOW1UETEMyjjPKsurSfX6xTZiWfMGqSs3jpODZhSZPz/n0w5SvHjJtcpiA/ihyzfOzDb75fpcZ36ZUijQribKcZ+f9xxqEXlNzEPcN+EKI/54qXZsA7wgh/sXWf/0E8EcPOPeXgH9HCPF1qotFUwjxj5RSf+0x1/xQbDfY9EYR13oRhiyxLQ2hwNAlDVEy+BjcPR/m4y0Ax9YpyhINxSip1Cm2IZEKLKPym5EClKi+vywv2MqkkBcgpUKjSvcYAnShyMuSOK3uFExdYBsaUZpjmzodx2Sh5TBKUsqyJMlKClVdl5O8KhS7joEpNTRNoGuCNC+RUpEXJUFWkmQFtl5lDwdBxu1RwoU5iznLIkxKwiynF2XMNTSyHBZaNoMwxbcNHEMyinIEJW23GjCeFoq2qzOJC1qOTpqX2GY1tco1NaKs3LkFcg2NNK90qe6WVv9RbA+OQ3/fdk1ePd3hei9gHFdrf26miSYk9hMjeq55knjQu/67W3+/C/wrqo9RAfzrB51YKfW3gb8NsLXD/48/7GC/zSunOwyjjLY/ZhAmXFkLGccpL55ocWszZJAmDz7Jh8TdFgTbu3tXVkXUlmPhmpIgqSSlM75Fx7eJ0pwZzyDKql25r1El1oEpX8M1K7ljWbDjI6RKaJgavmsyjjOKAoqiYMbTWclLpjyDv/TZJW72Em5sToiShEFU7MgwM6BlQ5GVYEKW5liaZBLlNB2dzTDB0auA3bAkYZxzpTtiumHzzLwPwHurY85Pe7y7MkIi0FDMNCxA8PLJFgLohxmvnOrQGycMgpSiVDw93+TqRsCFuRYbQUyclRRlwZkZHzspULKSV55oWby1PNw533Z+/eNie/DqqQ5lqfAso7ZlqDl2HhTw/zHwXwB/A7hO9Tk/BfwG8J8d79KOjm2rhZZj8MH6hFnfZluo+PLJNr/7zgq3N+MjHYoiqXTn8QHn1NiSNgKaDmkKUr8jddQlpHn1/01X59mFJi8seFzuxQgBvmvyky94nJny+f1L61zvTnAsmxcWbVbHMWmm0KXilTmfr72ySF4qrqyP+WB1wvo4plAlpq7RdEw6nslrp1q8uxIwjCvnx8+eafP587MstGzOTDU40bL5R9+5Tm8ckReVFHPetXh+oUl3XI2MLJAkWcqUV02V0oTk3IxLx7VASMIsZ6Ft8+mTHRpbEqDnFhrc6EmCJMcwBJrUaXsmX39llrMz1UVhe7iIoWkMo4SWbbHQtvnUqQ7XegHXNjN6k5TZpokhJa9dqHbil7tjogxeWKwuHEWp0MyPl+3Bo+b/a2oeBaHUwWlzIcR/C/jA31JKjbcea1JZK4RKqSMdgvLaa6+p7373uw8+8DHYGU49TFjth4R5wfJmyCjKGMcFV3ojNkc5hQLbhMWWxcYoISkgyu/N90/ZoJTA1KFUilFY5b92Y1Lp5POy8nGfaRi0PZdzMy55VvDdmz2WhwUa1Y75/GyTU9MegyDh6kZIVhTkZYFtaGhomCYIJOdmfZ5bbOAaBmlRcH1jgpSSOM2JspLlfoipa7Rck+cWPH703Cwdz+D/eP0G378xoOEYPD3j8+xiC00IBArfMVloWTuTm6Y9ixsbAf/sjWW+f2MTQ0oMTaBQaFIy7Zmcajs8u9TmO5d7ZGWJIQUr/YhBnOKaOvNNhz/zzDTXN0Ju9CN8S6Nh60yijEGU41k6s77Jjzw1Q8PW7zsxavdkKQWM45z5hn3P7vhRA2Y9RLzmSUMI8bpS6rVDHfuAgP8B8Ky66yAhhAa8p5R65rFWehfHHfB3Gl2U4r3bA5b7CYYp8XTJt69ssD6KCZOCQoEmwbMMxlFGkt3fa6djQpDe3ysGqmYjTVaplLmWiWFIVjZioruOM4GmC5MIFtoGaV6wOS5JqYq2pawcJU9POUip07JN/sJnFgH4xnvrXFwdszFJcAxJVpR4pk7DNljsuGyMElxLpzeOKKjGAp6e9nh6rsFSx2FjVM0Atg3JxjjlO1e7RFnBG9f6FGXBOCsYhBmuqXNuymGSKpKs4HNPdZikJVfWx/SClDQr6XgGWVnl8k1d51On25Sl4t9c7WNo4FgS2zCIkpyltkvTNfnJF+aZ8qx9A/f2JLN+nFEUJcuDCNfQ+MLTMzS2kt5hkqNpPFK+ffcQ8aO6gNTUHDcPE/AfpMNXdwf7rQcPslb5WLPd6NIPMiZpyXTTpmkbdMOM+ZZLXlTqlrZnMtdyyQpV+cM84Kc0TA+n9FFUu/wMGEUpg9GdYF9pXypSYCOsirCWYRDnVbpHAyYpTHkWjqETZVAUCqUK3rw5YBjkNGwDR5fYukQpgVKCOFfkJVy8PSRMc2xT8uLJDo6hoQlJdxSjabA+TDg36+90lPbChLRQXF0PaHsW002XIKqcJU0p2QgLpICTbYdemFeDxYUkywoQCoSorIfzahhNP8gYRjlLbYc4LwmTkmnPoumYpKVi2jN4e3lwoDXBWzf6vL8+ZmUQcnsQcbsfsTKI+GD1znGPMnhkm8exSKipeRJ4UMB/Vwjx1+9+UAjx14D3jmdJx8d2C3yYFZV0T6uki0FSFRsNXaBpkoatY+iStKjUHg+yJdhtMnY/trtiXaNS0kx23RJszeHeU1RRwDjJKUuFseVjkwNxWpKXJUlRIjVRWRIEGWFWUKiScVKldApVfY+lKhlFWTXPVynCrSahpm3iWxoloIvKJXK2Ye28fpgWSCEI0pwZ30AIgRAgSkWaF8RZwXzTZqZpEqcFT803aDompllZHUPEQQAAIABJREFUHDdtA0VJWiiEKomygigraNgCXUhcQzLXtDF1yPIC19QYRlWw3i9wv3lrwCjKdjpjHVNjFGe8vzbaOeZxZsA+qkVCTc2TwoM+GX8T+D+FEH8DeJ0qBv0I4AA/c8xrO3J2WuANDSkFlaWKwrN0srTAdwyySUJSKCyl0GQVTA0dzLtSNrunPe3+9/3YOV6BbelkRY7IqyBeBd29Vg+CSvmiqGSFQoJRghIlaS5ou5XOPc4LHFPD1gRhVDAIq47PNAelCUxdIoVAE5AVimGU03RMmk7169fLgmfmGvjOXosA19QolcIzdRSSuYbFJUuSZQLf0Vlqe0z5FpthSsc1mG3YOKZEapUuVGqStmuRFiWTtGTBqGSRUVZUF1e9+lqp6mIbppXMEvYP3BvjGFPXsLbOM9d0GEcZ3XG6ZyDJoypcHtUioabmSeG+O3yl1LJS6nPAL1M1X90Aflkp9aNKqeUPYX1HynYLfMcz8E1JbxQzijNOt21KUTUdzbdcJnFGP4xxdIlrgqlLZtt7zX13WxCfmdIOPfvV0QEBjqGznRbe9ptPVBX8NWDekxRltTuXQJRUx7R9iNKCOMtxjKrZ6GTb4dXTbYQUTJKcKVfHEJAXBZuTmDjJERQ73jNSVD42QZITpjlnp7w9bpPrw5h3bw9Y6YdsBgmLUw6bQUJ/EtO2dNKiupjMNwxQJYMw5bNnplls2Zi6ZMGxaDjVGgwp8AxJkis6nsFcw2QzSKu6gqWxPq6cMRumRi/IeHmpfaA1wUzDJs5y0rRElSW6ELRdnY5rHMngkXqIeM0PO/ct2n7YfFQqHUfXWGxXQy/euT3knRt9+mlO2zY4Ne0wCjKubAb0xhGDQFGoSnWz2LZ44USbvCjpjlIurw/p71O5dQXEquqA7fgGli55fqFFnGW8vzZmc5ITbVkfGBJePtng7IzP1Y2QtVFAlJYYmmC+6QKVR02hYKHp8Mysx1967RSvnJri9y+ucXFlzOvXeqyOYpI8J8nA1gUXFpu8fLKNJgU3emOWBymmLnjhRJtXTrYoSsVXL8xzbWPC776zCqqk7ZpYhsb1XsDqIOaDtRGOqdO0dYK0IMlLnp3z+cmXFnBMnUmc8/7amHGSc7sfsbwZYumSmZZFw9RQShDlJVOujmPpDIKMXpAw7dqc6NgstJz7qnQqC+FN0kxRUiKRmIbgs2em9nTNPo7Splbp1DxpHJlK58Pmwwj4D8PDqDYGYcofftBlZTNgdRQzTnL6QcraOOFkxyHOckZR9dgLi00sU2ccZTRdnRMtl/VhzNlZn/VBuKXdV5zquAgBt7bmu37x/Azr45i3l4e8ulRNadpe07lZn99+4xazvkVZKj7oTkAJzs+6RFnBs/PNHb13UYBr3UlT7Fa2vH69t+//X+qOeHq2eeDzHvVn9jDBdftn3A+SqttYSjqexZefmd15Xq20qfmk8TABv05O3ofdqg1gJ7e7n7HV5e6Y+YbNua1mIYDf/v6NqqjZsLm2EeCbJpSCfpTxI/NNmksGDdvgwnyDm5shC22b1YHLpfUxRaloOSYIxXRWkuQ5NzcjhnHCq0sd5lr2njV963KXjmsihcR1NC7MN7m5OeHSWsBzS42dgPcgI7CDrIB7k5SXTtxb0Ozf5ep42Eai3YG54+4dGH5QYG67Jl9+Zva+F4mH+Z3V1HzSqAP+fXiQD/qDjg3iHMfSOTfrM9+yudoN0CWM4oyFtkOUFix1HOKsZKFtVwHpDPz+xTVu9kIypXANjc+dn0YXEk0DP9YODMifOd3m/bVJ9ZipcarjszGJ+frLSztB8UEB+aDC5bRvHrqgeRjfmUcNzA8698P8zmpqPmk8MWMKPwoU8ObNAa9f3+QHK0NGcbpvkBuEKcuDkG9f2tg5DsCzddS2iZepc27Ww92ywU2LkmfmfXQh7ykMCuDVU22enfNBwQdrE65u1R0O8maf9k0MTee5xSaaBuM4I1clr57u3NO8dL8d8n6Fy7VxTMsy+fblLt+7sckgTB67oHlcEsgHedfX1HySqQP+AQzClHGcM4lTDCHI8oK3bgxZG0Z7gtx2amKuYaNpgiDO+cHyiLVhxFOzDQxdMAhS8qIgzUpmWja/8JMXePFEs/J22UdZ4ts66+OY91ar1E7DqhwgV/oh01tdqHcrSb54fpYgydCE5MJ8k+cXWpzquLx6qnPPWu83Uu/uMX9RlkOpmG3afPZMB0p4/XqfOM0fKy9+XIG5VtrU1BxMve05gO2c/IxvcqsfEqZVOqPpGgfmjD1T51Y/YjNIWBtHfP3lJQZhyrcud1kZxkz7Jj/z3MkdU7CDOD/b4Leu3sDUJaYuSAuFAs7N+vSC5MCUTHtrcMZBufP90iiTOOd33l5mqe3u2fFvp01ev96rJKSWDpbOZzx7p1j7OEXQB9USHpXajKym5mDqgH8A27lgKXWeX6yCRVmW9+SCd+eMG47J8465c9x2EH5QgL+bal6rQ5BmjJOqA/XCYgPf1HfOu18e+2Hz26M45VpvQlYUdE7sXzg9rpz4cQbm4/Cur6n5YaAO+AewX/GyO6527t+4uLazGz6u7syFtk1R2PfIIB/nvHevdbkfIYVgyre2vGOqx9+82ce3K1398iAkLxTzLWfnPEeVE68Dc03Nh0udwz+Au3PBa8OIt5YHzDXsPfnvg3Lq++WMB2HK69d7Ww1EvfsOqn7UXPT9XuPuc/YnKUVZcHKrAxcgK3LevNHfyfPPNWzeWh6wNozqnHhNzRNO3Xh1H3YrWj5YG5MVJa6l45oaJzsuQZKzPo5p2SbDON0azGHt20C025q5N04YRBkCwZ97aeHAlM+jNCY9qOlo9zmXByFzDZuF1p2A/73rPQRiTy59dRiyPo7vyfPvft03b/b5YK1ylXx6vsGn9hkMfhRdrHUnbE3NXupO2yNmEKb8w29eYca3sS2NNCvZDBIKVWJpOp8/P/3Ajs7Xr/foByk3NyMcQ8PUBaMoJy9KfvZHTh9J0DqoS/Ygf/j9LhB/fKXLZ89M0XbvuGZu1yT2G/q93f16qzeh5VggFKOoYKlt8+ULc0faAVt30dbU3MtR+uHXUKlbOp5FlOVc3wi42gu4uDpidZDQ8c1DeadP4pzeOMExNGxTQ0pJ09EpS3VkfusPq22/W4KpadWMVVPbawV3v5z95e6YfpDQ8WxcW8e1DNquziDK9nxfR+E1X/vV19Q8HnXRdh/uThusDhPmfJNvvL+Bb+u4ZrW77I7GTDVM3lup/NinXIOiVPumG3y7CoK7/ebTQtH2DVaHCa9f7z1U6uZyd8zqIGEYJ7Rsk4W2DYqHLiDfXTjd3kXD4eSSkzinKEtM29h5zNQlUZbvudA8itrnnt/DIObUlLvnmLqLtqbm8NQ7/LvYrzlppR9ydSPg6Xkf19SIssorX5WCS2tjLF1SlopvX9ng5mZInOS8c3vEP/zmFb7x3hqDMOX8bANBlcapvNsLorTA1DVW+uF9m6H2W18/SFkdBqSZYm0UMwxyRlHG6jh6rKaj/Xb990uZ+LaOJiXpriaqNC/RpdhzoXnYRqv9fg/L/YjuODn0OWpqavbyifqk3L1jnPYsekGyZ2e9O20wilOW+xEbk4RvvL+OACZJjpSKNCvICoXRr+SLjqkBgsu9CZe+MeHsjMtTsx7XeyGlUnz6zBR/7qUFfvv7t3h3ZchmkJKXiqIo+eyZDrkqkVLf11Nmv0JrP0zxLBPb1IjTnF6YcGbKI05zwiznrVtVmuOZ+caB3/9BdxLbu/7t47dlmvsdf362we1BXOXwy705/N0XmodttNqvSeypOY+r3QkN+94cfk1NzYP5xAT8u90Zu+OEP3i/y8tLLeYa9k7TUZgWnJpyGcUpF1fGlKqkO47oBylxmmOZgiRTRCkYAuxGyfo4ZhhlWLrYcblMCsXbyyOeWxQ8t9jkcnfM+dkGcy2bm72IUoFvaAzzgtuDiO9f7/PpMx2atrknTXH3ui/eHhElAVlRMreljTd1yTgpsA1Jd5zjmhqvnOzsBMU//KCLAN5ZHpCVJR3XoOFY3N6M9hRW7/fzOsjNctvB8k1b31HpPHfiXpXOwzZa7ZcCmmvYJLnaufuou2hrah6OT0zAv3vHuBmmdByTfpCx0HJ3dtYro4jZzGa5H+EYkpVRyuoowdEllmmhFCiVUZQlhQJTN1loOqyPIpSS+KaJrWsESYmlw61+gG3M09/aLee5YrZpsNCxsQyNa+sBUV4wjnOW+xHNRXNPmuLudXcaFkGc0wsz2lmJbWqkeYlSijduDbi8OuL8fINn5htIqVOonFu9CbcHEUKT2JpGP8hwTJ1bg5y3bvT5ynP3qm8exs2y7Zp89cL8viqeu487bKPVQQ1tCy2rbtaqqXlEPjEBf/eOcRSn/GBljFQlCMHJjsM4znnjRo9L3ZA/uNhFCnhq2qMXZoRpgaYJdKAbpESJQhOgGTAKE96NIvoxQEloxJSqYD1ICeMU3zbxjOucn/e5uh5wvReQFYpn5n0sw2GuafLWzQG3ewG/984KcVFi6hqvne1gSMEkztEl/GBlwsY441Z/zI3NGKUUm+OI2YbD8jDkVi8mKzJcqyqejuOMZ+abvHVzk0lc8KfLQ060HSzDQAJSJpybdvlgfcJXnpu/J91zaW2CEIooU7imxlLH2bF22OZRNfGHed5xee3U1HyS+cQE/O0dY65yLq6MsTTIC4GuCb51qcvyIMTUNHQJtqbx9sqQ1VFMmpUURVkFXkNi6JKyLMjLauh4kJbkRfUaGpAXsDLMMCRoAhxT8IOVMW/cGHBhsUnbNVkbJry9MuYVKcnzkn6UMgqznQlYqhBc2wj41X99ic+fmybKckxDY3lzwkaQIQHP0uhHGde6AXEOugbzLZdBmHGzFzFKqjsGy9BAKCZJQXeccGpKR2iC672QWd9EIO5J32yMU753rceZGZeFlktaKC6ujDk95dL2qgvKowwweZjn1SZoNTVHzycm4G/vGG8OIoqyIMwKrnZDnpr1KtsAIJeCGc9klCiW2g6rg4iZhs37qwPSQhEEBW0HNFk5WKZ5NZQ8l+BpEk1KoGAUKkrAdjSmXBuUQMqq4KuAOC+I0py3bw6QQqHJarD4qRmfpmuQZJWVsgS+fa3Hp05O0R2lBGmBY+oYUnKi4yCF4AYTemHG6SkHy9CxDI3uOCEexDRdg7MzHjd7CefmfMZhRj9MmfYsLE1wYyPkJ15cuCd90wsTzsz4dIOUKU9h6oIYuNqd8LNnTwN3Uj65Krm4FhCmBRIQss+P3Se187Cpojp9U1NzdPzQBvz90gafPjPFd69d4uLKCIRAE4o/vTHg+iBgqWVxbrbJrVFMlpWMw4xJkhLlBVGq0AUUQDeCajRKRbC1u29SUqiS0ZZqUJRVSmgYVlLJNK1y/g1boygLBLA+jnEMHVNXjOMc25REiSROM0ZxQVoUxIXipRMtrnbHdIOUtqMz17RZG8aMo4zlwYS8FOgSDF2ragxFyf/f3pnHWpLd9f3zq73q7m/vdbqnp2fGzuCZscfgDLHFFpsYEeKEP4AIBElkESJElARBVhFFCCKkiERACIEsKCGJAjhxIAEckhjw2JbHng1m8fQ6vb/t3vvuvXVrP/mj7nv9+nW/raff0u+dj9Td91aduvWrU6d/dep3fud7BmmGbUGWFXSGMU3fwXcMwiTFMuBI06Pi2Dx9ssUrV9p3DJCGSc5U3SXKCt5phyyFKVXPZKbu3SE1cbwVcKMb4dsGNdckSnNeudK+p6zCMje7Mf1hQpSXq3kdb/lUXOuuXPrNwj6dMOHlK23O3bqdjfTIeOWurKutzGfQMg2aw8KBzMPfaKGPXpwxUXOxTSFKC1zXoOU7LMU5lxdClgalQ7zVj+hFOa5t4DowLMqQTZl8eTdLKfRiWHYXGXBurkcvTpGioJdBmEOeFxiGQVKAawmeY+BYFq5l0B4k3FiKCNOcQuWkOYDiwtwARDhS9/Asi7dn+0RJzlKcMEwLenHMhbk+s92IoijAMMiBhu/y2Eyd9x6tY4zeSiZqHs+eGuPMdIMPPTpOM3DuypEPHJPZpSGDKONkK+DJIzV6g5Tff/0WL15cwJIyM+hzX52nUArPKWe+GmLQGmnyr3dfbrRDhmlBzTXJC8WbN3vM9qI7cuk3W6ilEyb84VuzvHm9R+CYBLbFly8t8mtfvEx3kG1rPsNW5z9oNAeBA+nw15uC/8L5OVoVh0Gc0Y8LKo6JbRrUPJuiUIAiTlJudWOyoiDwLAZRhmUYoMqYvHC7fy/c6fyXtwdm+TawOFQgBUlxe3uYKQoEpcoJSg3fxXctPMdmGBeEYUI3THBtC9uCJyZrDJOMqbpLWijmwhiUYmEQMUwV9cCh6paLl/eimGuLIYFlcKIZ4Nil3Y+MVxmruJxoBnzg5BgfODnOiabP+06Wq2GtVdEcD1wuzg8Zr9qkecHbt/osRCmnJgLaYcpXZwfMNHyiLCsfMkoRJTnDNOPMZGVdKYfzcz1OT1ZRlLOMHUsQ4MLs4I6c/c0kFM7P9egMU5pBKeUQeBZJrkjzgoUw3pLsgpZp0BxGDmRIZ71p/Av9hIZb9mYX+0Ns06AR2EzUXRqBxTDOsU2X7jBhvOIwzHLitGA46v3manUwp+ztO2bZc185jwOTNZdb3ZhBBv1hjmUYjLkFhYIwBVFCK3DoRQkV1+TMVIPXb/TIc8VSlGAZwtGGz4fOTNCLUuI0pxHYZS9cKYSCC/MhZ6drzLR83rjWpT2IMcXCsU0+/OQUgzhFVDkjOM7h0ckqeZ7TT7K7Zs+uHSBtVCyeOzWGCLzyTptBkpHmBXFeYMQFvm3SDVPee6zOhbkBvSglcEyenKhjioG3TlSkH2VM1lx81+Rae1gu7uIaTNbcO0Ipm8kw9KOMrFBU3NuaP4UqMEURJvk9j9lqG9EyDZqDzIF0+OvlcAe2RScqJ1AN05x+XM5QHQtcGr5DmOYYIuRFztIwJkqhu8H//wxWMnSWWUpgaeH29H/LEPICCoG0AFGls1kMy7eAr97ocKMTkirIizJ2frQV8MHTYxxvVXjrxhIJiiwH1zKo+hZZWmBbJlmh6PZTQBiv+kzVPUxDUXEtLsz2UarAFIO5QYIajR9UPZubnYi3bi5hGQZZUWCKSa5yGp5DzS01a16/1mWY5FzthLQCmzTNuTiXIGJQKIVrGzx1vMFElCGqTB99+2YfxzY4WvfuWCRmtZ7QfC/hnXbIO4shSZohKCZrZfn+MONGd8iVxZBGxWas4iIiBI7JeOBimKUi6Nu3elxe6GOKgetYKKU4PzugG6bcWEpAKc7O1LDEWFd2YbmN5CobLWFZjqs8Ml65v0an0TwEHEiHv14O90zNY7Y7JKPAMGA40rPJs4I0y5nrxxgobMukG0KkwAXijU+3IbNhQWBAVpQPiILlv8o3hPlQ0Q5jqg7YlsFiGHOsHvCFcws884giznK+OruEiFCxBduyuDjfp+453OgMmDNMCqVoeA7zvRhQzC2F1DyTc7NDLi2EPDYVkOXCly52OTNZoT1I6A4SLrcHTNd8clVwdrrOQj+mF2YsDhNOjgW8dLnNrW5ElOW0PItrg4S6b7HQGzLTrPDG9S7Tdb8MDOYwTDOut2Mmqs4ds5eX3ybGKy6fee0GS8McxxFml2KGaYZtGnzu7TkWBjHvmWkwXrP54oVFphs+zxxvMIgU528ucWqqRmBXOd7yeflKh6Uw42jL5WYn5ka3lGce8yzOz/dZGCScnazy4Sem1m0jq2WdbUNYGuYshSmd0TKSGs1B40DG8NcTAKsGFnGeM1kNeM+RJlO1oExvNEy6cUbdd6j6LsMsxzTApvTN7ujz/ZIV4LtQsUonbwNTFQPXKH9bKB8Gx8drnGrV6MYZM42AC7d6LA5iTk9UmAwsTMukO8x4fLrGdMNDxCbNFdONcmESzzGYrnsMkoLpus9M02cssFkc5ERZwZmpKvP9lPNzA4a5YqLiMj+ICZOCzjBlkBTMDxLGApdcgW9bTNY8BnHBQpjx+EyVimNxoxdzcqLCWMXDMoX3nxzjg6cnGKu6zDQD2oP0nnHxhUEpJ12vWLQHCTXf5okjdRbDhNmliPGKRz/OKArhzHSNPC94Z3FIxTNpVR2S0QI0vTjj2ZNNHp0KuLQwJM5yTk/WeM+RBmN1D1OEMEnvWnB+bRupeRZVzyFV5UP+fScbTDd8HcfXHFh2rIcvIieAXwVmKP3mLyml/vlOnW8t98rhrnoWYVLw6GSAaZnYpokpcKMbcmGuj+8YVFybMM1RRYppwjABxwLPEpZCRUIZx/cEErXSWV8XBwgceOJInVzB5fk+lhi0qi5ROqDmmoRpjmOaTDU8sjRlcZjzoTNjvHipzaMTVSZqDm/d6lNxDM7dGuBYwljFpelbdMKU6YZHoWC86jBVcxkkOYoyBHR6ssowLUcefFt481aPyYpbXoNjkvYTJiomt5ai0bEZJx2fYVpg2wbHmx5jNYfFQYprWng1i1OOyXOnxvjSxQXy4nYNhElO1TMZrBNH70cZjmXy+LSHQqg4Bgq40s4RhMAxVsZLxnwbzzI41iofzl+6OE+eFyvnaVVcWoFTPkxtoeLaDNOc0xNViqKgO0w3bSMCPH2iiWHc7vfca6F6jeagsJMhnQz420qpr4hIDfiyiHxGKfX6Dp5zQ85M1vBtg/YwY7xSZogM05yKa+FYBiaQ5+BYQpYZKFUgcjsTxzDAKkqHX6iyt76ZwzcNUAakuSJOCgyjPG+hFEqV/5piYFml0xmmUHMs+lGOawrNik2SFXiWQZqB7xp0wpSjzWAU37Y5NRFgmuXx/Sij4pWDmYYYhElB4JTfwyTHUIJrlStuRUmB7xjlOIQoTNOg4pQPRd81ma67XJoP8WyDEy2XVsUjzgoeHcW5LUNQq14SA8csz79qxa3VukBVz8IUgyRTeHZ5PUoUvmWC4m5bDWPluynGyvto4JgjOWZFw7fIi7K8Pyqb5OW1bCabvFML0Gs0+5UdC+kopW4opb4y+twD3gCO7dT5tkIzcPhLz51gGGfc6sY0AgPHNnBsk8enaqQKloYJLc9GYZBk4Fmlwx+kiqoD9VKgkoJSLXMjbEqHP1FxGCY5Vd+i6ZeLpIRRSt0TekmBaSiqjsHs0pB+FHN2OqA9TPja0xNMVDyGaUHdsxim5Tq4eVGUA7iOgWMLnTDjSMNjPHBpDxNagcPRhodjCguDuBysdS0WBhFTdRfbVNimwSAuZ90uRWkZfnEMJioOi2FMzTWZqnrlPATLYLrmE0Y5Dd/izHSVMM5o+jatiruSzjkWOOX5K/Y99fjPTNZoVu3RmIVJJ4xZ7CUcbQZM1T0WBhFV16LmmSwMYhxTONrwynNVbVqeTRhnHG14tAcRnTDja441cS2DhUFM1TEYxintQXkPN1sH4H4XitdoHlZ2ZU1bETkF/AHwlFJqac2+TwKfBDh58uQHLl++vOP2XJrv88L5ORb6CYFlMtP06cc5nz8/y2I/ZhBnmEa5qEmU5hSAYxpUPAvLFHphws1eqbOjcsWwgCyD1YEAX6BVt5ip+rznSJXZfsrxpk8/zrjejlgIIyzDxLMMTkz4DKJS7uHkeMBTxxo8f2aSZuDw0uVFlBLmBxHX28Mypj9ZxbUNGp5L1TNRlA+ltRr/AINhxo2lUmztSMNHSSmTnOUK1ylnx2ZZwYlWwEzTpzaKkd/s3nnMze6QYZLjuwZHGhVmGu6KY9xsjYG7Fjx/p1zwPMoKXNvgaMOn6lkrWToymmRW8W+/Gaw9F7By3QroRyk3OxEiwtmpKu87uf5s39Xo2baah519tYi5iFSBzwI/qZT6zY3KvptFzDf7j7vayStVBiKUCONVh7HA4aUrbS7ODVjoxXSHCZ1BjEKoBiYogzhN6YcKBFpVhw+fneDsTJ1Xr7T56q0+i/2IfpyXefaAK+C5pbNybYs4K/BMIVdC1XN46liVRyaqzPdjqq6N7xjUXZvZXsTVxQhQHGv5TNc9luKUxUFGOEyoeKXo2NnpGk+v49RevbLIb7x4hYsLA2zT4MSYT8Wxud4dMt+LGSYZBULNszEN8GwTo1BEeRlG8R2TZ060OD1ZpR9l/MnVLv0koSgUC/2U2aWIhm/jOyYzTY9W4BImKZ0wQyl4bLrKt7x3hlMT1U3v17lbfS7M97AMg2Mtn+fPTG543FbveydMeOVKe0Wj/7HpOzX6t+vo9YNBs1/ZNw5fRGzgt4DfVUr9s83K36/DX63AuFZKtxk4XJrv86mXrtLyHYZJymffnmcYpzwxXaMb57z2TocjYx55mnO1M6QzVPijUE4vuz3ZyqDcVrHAtsE1TQLPYRAn3Orld8XzhdtyDLYJSQ7NABpBmQqZFfCx905xYrzCK5c7XG4PmazY5AqQUrKgUHCk7uEYisVBju0YnGj6ZIXi2FjAR87euYDJq1cW+fn/e44sK/Bt4cpixNygdNCFgigp315s06A3eoDUXJO5MEGUUHcMpuoB3SRlouLSj8vetGuaxFnGlcUBhmEghkHNMUmznImaz8IgYbLqcnoyIM4UNd/me77ukXs67+X71Y1SvvD2HK5rYwpMVF3ivOATzx7fktNf776fnqzy2rXuSsrl6lW4ltM0N2ov221fGs1esh2Hv2MxfBER4FeAN7bi7N8Nm02Tf+H8HC3foVlxeOtWD1FQ8xxudCPeutlFScFSmNJPC/qxKsMEcjtksEzgQM0tZ9zGKXSinDBJiZICS7hLY0cBhoCY5cSriguIQUEpRWAbQnuYs9hPwRBcU7ixFNGsOLQqLt0wxUCY6yVc68aM1z3qnk0/zmkFLp1+elcK4W+/dh0RYaLukirBtk1cq9TGyQtwHQvLNspMJBQKmO0lOIaJ65jEBRSG0BtmXO+EFAX0onKm7Y2lCNu28GyLKElxbBPbtrgwv0QLhSszAAATQklEQVSr6mAaQpQrJqoeaV7wwvm5De/XuVtL1AOXiZpL4JRvQS3fWfe4rd73F87P0R7EtCoegVfKLzSDchH583O9bcsqaBkGzUFhJ/Pwvx74XuCbROTl0Z+P78SJ+lGGZ995KZ5trMR6F/oJ1VHmyo1ORGAbBK5BO8rIC6Fql0sElqtZ3c7CydemXapSxjhXUBSQZ5BlinT0lrRaY2cZwwBGMX7LAMeyaPgOpil4JgzijGFakOeqnAyW5FiGYIqQZOXsz2GWEaUFjsmK6JtjCbkq7tKtmeslOEJ5fF6gigLbgCQDNbpAUZCkpdRDUUCcKQSFKEWuoDvIcEwhzRS2KeR5gTOqT0OErFCoUuUBAxgmBYEFhSiSTGFbYIpiob++rIFnG3TCbCVDxrGEKC3TOtc7bqv3faGfkBelzcs4lkFWKPpRtml72ep51iuv0exXdiz/TCn1R9xbWPKBs1l63XjVoR/lNCsmjmWQKigysBAqdpn7bRqCZRiYFmTpqGdO6dBWnL4sp1GCjHZalmDnQoK6Q1htGWMU1yl/RzCk3GabBrkIFdfCtw1MUygK8J1SMkEEHKsckPUtCyhIRuqZnl2mNpr3kA6YrDlcXhiSK4VjlqGXtCjnEsgox1QJOHa5+IphlKqdCkGNJKMRhZJSybMRlDn4WVbq8qR5gWUKgWshUtaN7xiEGbiG4FhCmkGuyvGRje5XM7AI44JaYI5SNU36Ub7ucVu97+NVhyxXJKMlIKEUqrMMWamv7aRj6vRNzUHhQMy03Sy97vkzk7SHCZ1BwiNjAe1BQjtMOdJ0Gav6DBJFI7DKNEdKjRtR3OXA4wSGcSmY5trQ9EwCx8ZzDLJVwmrL/1qAKsA2ymPiTGGgKIqCmmfjGAZH6i5jVRsKRZwrjtQ9OoOE9iCmEdgUKCZrDscaLgtLEUtRStU1aYcxzerdqYff9jVHUUoxvxRjiyJNc+IsZ6ruYxoQJxlZWhDYJkI5J2Cq5pAUOXGSlzN/laIoykVgKo7FoxM+vTSl4dlkeV5q1DgmSZqTphmPTtRp9xPyQuGZwnw/wjYNnj8zueH9emy6zlIYM9+LCZOslIgeJuset9X7/vyZSVoVl/YgIowywrgcUG76ZX1tNx1Tp29qDgq7kpa5VXYjS+fCzR5v3eqjRGGJgQD1wCHNchbDlGGSIsBcLybJFQ3foOo6dIc5nUGEacJMo8oHTzU5OVHl1Sttzs8N6A0zenFEOnrLDxwD37MJTBPPtjAtocgUicppug4ffHSMZx5p8c5iyEI/WTdL5/RklapnM4hzbrZDwizHt8x3laWTZQWBbzJV9VGUYZgkyVaydCwRmoHNyckqrmHQHaZc74RMVkvZiZudiEyVSzzqLB2NZm/ZN1k62+XdOPytsLLohVIs9GM6YUKUFpydrFHxLf0feRXawWk0DwfbcfiHKgi5OttiphEAEMalPrxeO/VO9HqyGs3B41A5fL3oxbtD9/o1moebAzFou1XWrt0KOttiq+g1YDWah59D5fB1tsX9oycfaTQPP4fK4a+3MIoOS2yOnnyk0Tz8HLpYxoMYjDyMsWw9+Uijefg5VD38B8FhjWXrcJhG8/CjHf42OayxbB0O02gefvT7+DY5zKmdOjdfo3m40Q5/m+hY9u5zGMdMNJqdQId0tomOZe8uh3XMRKPZCbTD3yY6lr27HNYxE41mJ9BxiPtAx7J3j8M8ZqLRPGh0D1+zr9FyGBrNg0M7fM2+Ro+ZaDQPDt1N0tyT/ZIZszxmcn6uRztMqHqWHjPRaO4T7fA1d7GcGVNxbVqBQ5QWvHR5cc8crR4z0WgeDDqko7kLnRmj0RxMtMPX3IVWxtRoDiba4WvuQmfGaDQHE+3wNXehM2M0moOJdviau9CziTWag4l+R9fcE50Zo9EcPHQPX6PRaA4J2uFrNBrNIUE7fI1GozkkaIev0Wg0hwTt8DUajeaQoB2+RqPRHBJ21OGLyLeKyFsick5Efnwnz6XRaDSajdmxPHwRMYGfB/4scBX4koh8Win1+k6dczssy//e7ER0o4SG5zLTdLEN4Y+vd1noJwSWyUzTBxG6w5g4Lbg012d+kKAKxenJKifHAvpxTphmBLbFTM2jn2ZcmO/RDzP6aYYlkCkYr3g8Nl3h+TOTnJqo3mXPK++0eftWjygrcG2Dow2fmaa3Ik28uoyIcHaqyvtOttadELWexPF2t2/0W+uda3U9jlcdnjraIC3UXfU9XnFZGMT0owxRoACETe3qhAmfef0m52b7+JbBc4+O8Wcem9q0Lm52Ym52Q8Ikx7dNzk7XeHpNHe4XaWiN5kEjSqmd+WGRPw38hFLqY6PvfxdAKfVT6x3z3HPPqRdffHFH7FnNsvyvUsKlhT6GCHmR4zsWX7i4wJPTdaquyRvXe/TTjEeaHmIIL17qgCjiOGOs6jFIMqK04NHJCo9PVbm0OGQhTLAMcC2T87e6+K7DrfaQ460KvmPwxNE6pmnwiWePrzj9TpjwB2/Pcm0xxDKEdxZC8gKONj3ec7SBIXB6ssqr1zpcWwxpeA4iis4w43jT58NP3O3oVksce7ZBlBYM4pTTk1UuzvW3vP3ZR8YA7vlby7Nv157r4lyf33/rFk9O15iqe8wuRbx5q8eHTo0TZcVKfY/XPC7OD3j6WAvHFl672gUU7zvWwLasde06P9fjrWsdkkJoBhZJXtAZpjx3apxvferIunWRK8Wb17tc68Q4lnCiFZAWBcfGAj5yduqe17L2WjWa/YaIfFkp9dxWyu5kSOcYcGXV96ujbXvOsvzvQhgTOCbNikPFdXjx8iKtwCXJChbClPG6BwVc60bc6CUYBiSpol7xMEyDMC1IsxwwOL8wYKLqEUYZ3UFKL0pp+B5Lw4xqYBMXBVXf4WY/oeU7vHB+7g57Ov2UVuDST3KagctYzWGQZCyGCRXX5oXzcytlAs/Cd21aFYd2lN5Ttng9ieMXzs9ta/v5ud6mcslr978926MVuMS5wjJN4lzRCly+cnnxjvp++1aPlu+wEMbc6Ea0Kg6twOV6N97QrgtzPWYHKWM1B9+zaVRcxioO52d7G9ZFO0zoJwUTNZeab9OPM1qBS6efrnstWhpac5DYSYcv99h21+uEiHxSRF4UkRfn5ubucciDZ1n+N0xyHKusAsc2aIcpDc9kmBZESY5jgiGKYVYwiFIESPIcxxLSvCDLcwogLxS9OMe2IM1z8kIxTAp8x2CY5PiWEGUFni0MopSqZ7LQT+6wJ1cFjiVEaYFtgW0KWQFhkuPZBgv9ZKXMMo4p5HlxT9ni9SSOF/rJtrb3o2xTueS1+zvDjIZnrihuRmlBwzNZDNM76rsblnURJnl5L0zBsYQwzTe0axBlZIXCNm/XReCUbwQb1UWY5BSqwDbL+h2mZX3mqlj3WtZeq0bzMLOTDv8qcGLV9+PA9bWFlFK/pJR6Tin13OTk5A6ac5tl+d/AMUmy0iklaUErsOlGOb5t4DkmSQ6FEnzLoOLZKMAxTZJMYZsGlmliAKYh1FyTNAPbNDENGTn7At8xGWYKzzKIUkXFs+lHOeNV5w57TDFIMoVnG6QZpLnCMiBwSsc5XnVWyiyT5ArTNO4pW7yexPF41dnW9qpnbSqXvHZ/07foRvmK4/Rsg26UMxbYd9R3IyjrInDM8l7kiiRTBLa5oV0Vz8IyhDS/XRdhklFx7Q3rInBMDDFI87J+fbusT1OMda9l7bVqNA8zO+nwvwScFZHTIuIA3wV8egfPt2WW5X/HA5cwyekMEgZxwnOPjNEOYxzLYDywWViKwIBjDY8jNYeiAMcWlgYRRV4Q2Aa2ZQIFZ8YrzPcjAs+iUbGpeTbdYUTdt+iHKa5h0B8mzFQd2sOE589M3mFPs2rTDmOqjkknjFnsJVQci7HAYRCnPH9mcqVMGGUM45T2IKHl2feULV5P4vj5M5Pb2n5msrapXPLa/WenarTDGNcUsjzHNYV2GPP+R8buqO+z0zXaw4TxwOVIw6M9SGiHMUcb7oZ2PTpZY6pis9hLGEYp3UHM4iDhzFRtw7poBQ5Vx2C+F9MbplRdi3YY06za616LlobWHCR2bNAWQEQ+DvwsYAL/Rin1kxuV361BW9BZOjpLR2fpaA4G2xm03VGHv1120+FrNBrNQWC/ZOloNBqNZh+hHb5Go9EcErTD12g0mkOCdvgajUZzSNAOX6PRaA4J+ypLR0TmgMs78NMTwPwO/O6DYL/apu3aHtqu7bNfbXvY7HpEKbWlWav7yuHvFCLy4lbTlnab/Wqbtmt7aLu2z3617SDbpUM6Go1Gc0jQDl+j0WgOCYfF4f/SXhuwAfvVNm3X9tB2bZ/9atuBtetQxPA1Go1Gc3h6+BqNRnPo0Q5fo9FoDgkHyuGLyCUReU1EXhaRu2Q3peRfiMg5EXlVRN6/T+z6yyN7XhWRF0Tk6d2wayu2rSr3QRHJReQ794tdIvINo/1/IiKf3Q92iUhDRP6HiLwysusHdsmupoj8uoi8KSJvjNaUXr1/r9r+ZnbtZdvf0LZV5Xa77W9q1323faXUgfkDXAImNtj/ceB/US6/+CHgi/vErueB1ujzn9stu7Zi26iMCfwf4H8C37kf7AKawOvAydH3qX1i198D/uno8ySwCDi7YNe/B/7a6LMDNNfs36u2v5lde9n2N7RttH0v2v5mdXbfbf9A9fC3wHcAv6pKvgA0ReTIXhullHpBKdUeff0C5XKQ+4kfBn4DmN1rQ1bxPcBvKqXeAVBK7RfbFFATEQGqlA5/RxfEFZE68BHgVwCUUolSqrOm2K63/a3YtVdtf4t1Brvc9rdo1323/YPm8BXweyLyZRH55D32HwOurPp+dbRtr+1azV+l7IntFhvaJiLHgE8Av7iLNm1qF/A40BKR/zcq8337xK6fA95DuX7za8CPKKWKe5R7kDwKzAH/VkReEpFfFpHKmjJ70fa3YtdqdrPtb2rbHrX9rdTZfbf9g+bwv14p9X7KV8O/ISIfWbNf7nHMbuSlbmYXACLyjZSN/sd2waat2vazwI8ppfJdtGkrdlnAB4BvAz4G/EMReXwf2PUx4GXgKPAM8HOjXttOYgHvB/6lUupZYAD8+Joye9H2t2IXsCdtfyu27UXb34pd9932D5TDV0pdH/07C3wK+No1Ra4CJ1Z9P07ZE9truxCR9wG/DHyHUmphp23ahm3PAf9ZRC4B3wn8goj8hX1g11Xgd5RSA6XUPPAHwI4P+G3Brh+gfN1WSqlzwEXgyR026ypwVSn1xdH3X6d0GmvL7Hbb34pde9X2t2LbXrT9rd7L+2r7B8bhi0hFRGrLn4GPAn+8ptinge8bZSx8COgqpW7stV0ichL4TeB7lVJf3Ul7tmubUuq0UuqUUuoUZeP7IaXUf9tru4D/DnxYRCwRCYCvA97YB3a9A3zzqMw08ARwYSftUkrdBK6IyBOjTd9MOai3ml1v+1uxa6/a/lZs24u2v8V7ed9t33pglu4908CnyrEyLODXlFK/IyI/CKCU+kXKkfaPA+eAkLI3th/s+kfAOGUPAiBTu6PWtxXb9oJN7VJKvSEivwO8ChTALyul1jrfXbcL+CfAvxOR1yjDKD826oXtND8M/EcRcSgfMD+wD9r+Vuzaq7a/Fdv2ig3tejdtX0sraDQazSHhwIR0NBqNRrMx2uFrNBrNIUE7fI1GozkkaIev0Wg0hwTt8DUajeaQoB2+5sAwUjR8WUT+WET+6yhH+X5/6xtE5LdGn/+8iNxzhuhof1NEfug+zvETIvJ37tdGjWa7aIevOUgMlVLPKKWeAhLgB1fvHE062nabV0p9Win10xsUaQLbdvgazW6jHb7moPKHwGMickpKTfFfAL4CnBCRj4rI50XkK6M3gSqAiHyrlBrkfwT8xeUfEpHvF5GfG32eFpFPSal3/4qIPA/8NHBm9HbxM6NyPyoiX5JS5/0fr/qtvy8ib4nI/6achavR7Bra4WsOHCJiUYqbvTba9ASlNPCyGNU/AL5lJIL2IvC3RMQD/jXw7cCHgZl1fv5fAJ9VSj1NqXHyJ5TiVudHbxc/KiIfBc5S6uw8A3xARD4iIh8Avgt4lvKB8sEHfOkazYYcJGkFjcYXkZdHn/+QUlP8KHB5pAEP5eIf7wU+N5rK7wCfpxQ4u6iUehtARP4DcC/5428Cvg9gpKLYFZHWmjIfHf15afS9SvkAqAGfUkqFo3N8+l1drUazTbTD1xwkhkqpZ1ZvGDn1wepNwGeUUt+9ptwzPDi5YAF+Sin1r9ac428+wHNoNNtGh3Q0h40vAF8vIo8BiEggpZb4m8BpETkzKvfd6xz/+8BfHx1rSql136PsvS/zu8BfWTU2cExEpihlbD8hIv5IdfPbH/C1aTQboh2+5lChlJoDvh/4TyLyKuUD4EmlVEQZwvnt0aDt5XV+4keAbxypYX4Z+FMjDffPjdJBf0Yp9XvArwGfH5X7daCmlPoK8F8oF0j5Dcqwk0aza2i1TI1Gozkk6B6+RqPRHBK0w9doNJpDgnb4Go1Gc0jQDl+j0WgOCdrhazQazSFBO3yNRqM5JGiHr9FoNIeE/w8ux0T55JYxEwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for task in tasks:\n",
    "    plt.figure()\n",
    "    yt = y_true[f'counts/{task}'].mean(-1)\n",
    "    yp = y_pred[ds.task2idx(task, 'counts')].mean(-1)\n",
    "    regression_eval(yt, \n",
    "                    yp, alpha=0.1, task=task)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.288057,
     "end_time": "2019-05-28T07:20:32.551247",
     "exception": false,
     "start_time": "2019-05-28T07:20:32.263190",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Profile evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "papermill": {
     "duration": 0.368038,
     "end_time": "2019-05-28T07:20:33.377723",
     "exception": false,
     "start_time": "2019-05-28T07:20:33.009685",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from joblib import Parallel, delayed\n",
    "import basepair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "papermill": {
     "duration": 0.388908,
     "end_time": "2019-05-28T07:20:34.111607",
     "exception": false,
     "start_time": "2019-05-28T07:20:33.722699",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "task=tasks[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "papermill": {
     "duration": 2.499733,
     "end_time": "2019-05-28T07:20:36.934349",
     "exception": false,
     "start_time": "2019-05-28T07:20:34.434616",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "yp = softmax(y_pred[ds.task2idx(task, \"profile\")])\n",
    "yt = y_true[\"profile/\" + task]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "papermill": {
     "duration": 0.837215,
     "end_time": "2019-05-28T07:20:38.133872",
     "exception": false,
     "start_time": "2019-05-28T07:20:37.296657",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "x = np.ravel(yt / (1+yt.sum(axis=-2, keepdims=True)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "papermill": {
     "duration": 2.05181,
     "end_time": "2019-05-28T07:20:40.531307",
     "exception": false,
     "start_time": "2019-05-28T07:20:38.479497",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x216 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,3))\n",
    "plt.subplot(121)\n",
    "plt.hist(x[(x<0.04) ], bins=100);\n",
    "plt.subplot(122)\n",
    "plt.hist(x[(x<0.04) & (x>0.0001)], bins=100);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "papermill": {
     "duration": 0.390985,
     "end_time": "2019-05-28T07:20:41.405170",
     "exception": false,
     "start_time": "2019-05-28T07:20:41.014185",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8512005065123011"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(x>0.0001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "papermill": {
     "duration": 41.749672,
     "end_time": "2019-05-28T07:21:23.705605",
     "exception": false,
     "start_time": "2019-05-28T07:20:41.955933",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "out_df = Parallel(n_jobs=len(tasks))(delayed(basepair.cli.evaluate.eval_profile)(y_true[\"profile/\" + task], \n",
    "                                                                                 softmax(y_pred[ds.task2idx(task, \"profile\")]), \n",
    "                                                                                 binsizes=[1,10],\n",
    "                                                                                 pos_min_threshold=0.015,\n",
    "                                                                                 neg_max_threshold=0.005,)\n",
    "                 for task in tasks)\n",
    "df = pd.concat([out_df[i].assign(task=task) for i,task in enumerate(tasks)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "papermill": {
     "duration": 0.436435,
     "end_time": "2019-05-28T07:21:24.617590",
     "exception": false,
     "start_time": "2019-05-28T07:21:24.181155",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "          auprc  binsize  frac_ambigous     imbalance  n_positives  random_auprc   task\n",
      "0  2.005645e-07        1       0.001623  3.626976e-07           10  3.426596e-07  task1\n",
      "1  4.077911e-07       10       0.002056  7.257099e-07            2  1.897879e-06  task1\n",
      "0  1.008714e-06        1       0.003998  5.109858e-07           14  3.744583e-07  task2\n",
      "1  1.682176e-06       10       0.005084  7.307762e-07            2  4.657192e-07  task2\n",
      "0  3.710065e-03        1       0.036732  1.396441e-04         3188  1.427464e-04  task3\n",
      "1  4.820963e-03       10       0.050927  2.329612e-04          524  2.288422e-04  task3\n",
      "0  2.764705e-03        1       0.037235  1.380338e-04         3106  1.330143e-04  task4\n",
      "1  7.577399e-03       10       0.051463  2.426790e-04          538  2.448800e-04  task4\n",
      "0  1.094726e-02        1       0.054659  4.124317e-04         6586  4.300792e-04  task5\n",
      "1  3.016135e-02       10       0.072379  6.815841e-04         1068  6.870487e-04  task5\n",
      "0  2.264667e-03        1       0.046781  3.070977e-04         5912  3.094851e-04  task6\n",
      "1  5.072485e-03       10       0.063068  4.851424e-04          918  4.576998e-04  task6\n"
     ]
    }
   ],
   "source": [
    "# make sure to print all the rows\n",
    "print(df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "papermill": {
     "duration": 0.89085,
     "end_time": "2019-05-28T07:21:25.873550",
     "exception": true,
     "start_time": "2019-05-28T07:21:24.982700",
     "status": "failed"
    },
    "tags": []
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'model/auprc.metrics.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-25-e3f3f832ab2e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"model/auprc.metrics.csv\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mto_csv\u001b[0;34m(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, line_terminator, chunksize, tupleize_cols, date_format, doublequote, escapechar, decimal)\u001b[0m\n\u001b[1;32m   3018\u001b[0m                                  \u001b[0mdoublequote\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdoublequote\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3019\u001b[0m                                  escapechar=escapechar, decimal=decimal)\n\u001b[0;32m-> 3020\u001b[0;31m         \u001b[0mformatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3021\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3022\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mpath_or_buf\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/pandas/io/formats/csvs.py\u001b[0m in \u001b[0;36msave\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    155\u001b[0m             f, handles = _get_handle(self.path_or_buf, self.mode,\n\u001b[1;32m    156\u001b[0m                                      \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencoding\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 157\u001b[0;31m                                      compression=self.compression)\n\u001b[0m\u001b[1;32m    158\u001b[0m             \u001b[0mclose\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/pandas/io/common.py\u001b[0m in \u001b[0;36m_get_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text)\u001b[0m\n\u001b[1;32m    422\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    423\u001b[0m             \u001b[0;31m# Python 3 and encoding\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 424\u001b[0;31m             \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_or_buf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mencoding\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnewline\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    425\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mis_text\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    426\u001b[0m             \u001b[0;31m# Python 3 and no explicit encoding\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'model/auprc.metrics.csv'"
     ]
    }
   ],
   "source": [
    "df.to_csv(\"model/auprc.metrics.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "source": [
    "## Profile plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from basepair.plots import plot_profiles\n",
    "from basepair import samplers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "tasks = list(ds.task_specs)\n",
    "task = tasks[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#idx_list = samplers.top_sum_count(y_true['profile/Nanog'], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#idx_list = samplers.top_sum_count(y_true['profile/Oct4'], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Total sum\n",
    "#idx_list = samplers.top_sum_count(sum([y_true[f'profile/{task}'].mean(-1) for task in tasks])[:,:,np.newaxis], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#idx_list = samplers.top_max_count(y_true['profile/Oct4'], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "np.random.seed(42)\n",
    "idx_list = samplers.random(y_true[f'profile/{task}'], 20, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "idx_list[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "plot_profiles(y_true, y_pred, tasks, idx_list, preproc=None, figsize=(24, 8), tic_freq=50, \n",
    "              xlim=[int(np.floor(peak_width/5)),int(np.floor(peak_width/5*4))])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:basepair-gpu] *",
   "language": "python",
   "name": "conda-env-basepair-gpu-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "papermill": {
   "duration": 226.983284,
   "end_time": "2019-05-28T07:21:28.816255",
   "environment_variables": {},
   "exception": true,
   "input_path": "/users/avsec/workspace/basepair/basepair/exp/chipnexus/template_eval.ipynb",
   "output_path": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/results.ipynb",
   "parameters": {
    "dataspec_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/dataspec.yaml",
    "gpu": 2,
    "history_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/history.csv",
    "hparams_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/hparams.yaml",
    "model_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.BACH1/model.h5",
    "num_workers": 10,
    "peak_width": 1000,
    "seq_width": 1000
   },
   "start_time": "2019-05-28T07:17:41.832971",
   "version": "0.18.1"
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 },
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