{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide_input": true,
    "inputHidden": true
   },
   "outputs": [
    {
     "data": {
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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": 0.702211,
     "end_time": "2019-05-29T01:02:46.887846",
     "exception": false,
     "start_time": "2019-05-29T01:02:46.185635",
     "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": 0.169188,
     "end_time": "2019-05-29T01:02:47.415271",
     "exception": false,
     "start_time": "2019-05-29T01:02:47.246083",
     "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.eGFP-GABPA/model.h5\"\n",
    "dataspec_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.eGFP-GABPA/dataspec.yaml\"\n",
    "hparams_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.eGFP-GABPA/hparams.yaml\"\n",
    "history_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.eGFP-GABPA/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": 7.646891,
     "end_time": "2019-05-29T01:02:55.200998",
     "exception": false,
     "start_time": "2019-05-29T01:02:47.554107",
     "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": 0.382514,
     "end_time": "2019-05-29T01:02:56.002417",
     "exception": false,
     "start_time": "2019-05-29T01:02:55.619903",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.client.session.Session at 0x7f91001005f8>"
      ]
     },
     "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": 11.709657,
     "end_time": "2019-05-29T01:03:07.879476",
     "exception": false,
     "start_time": "2019-05-29T01:02:56.169819",
     "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 18:02:56,729 [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 18:03:03,553 [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": 0.118115,
     "end_time": "2019-05-29T01:03:08.136047",
     "exception": false,
     "start_time": "2019-05-29T01:03:08.017932",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Learning curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "papermill": {
     "duration": 0.157363,
     "end_time": "2019-05-29T01:03:08.468153",
     "exception": false,
     "start_time": "2019-05-29T01:03:08.310790",
     "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": 0.093835,
     "end_time": "2019-05-29T01:03:08.636232",
     "exception": false,
     "start_time": "2019-05-29T01:03:08.542397",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'epoch': 6.0,\n",
       " 'counts/task1_loss': 0.582128356766578,\n",
       " 'counts/task2_loss': 0.6477122440323565,\n",
       " 'counts/task3_loss': 1.4731985780953374,\n",
       " 'counts/task4_loss': 0.7391854259184518,\n",
       " 'loss': 10714.537357858671,\n",
       " 'profile/task1_loss': 3897.6858899144977,\n",
       " 'profile/task2_loss': 3611.878242570914,\n",
       " 'profile/task3_loss': 1261.5554306875251,\n",
       " 'profile/task4_loss': 1908.9955686090439,\n",
       " 'val_counts/task1_loss': 1.071517469796553,\n",
       " 'val_counts/task2_loss': 1.1548581136903024,\n",
       " 'val_counts/task3_loss': 1.3964925293867434,\n",
       " 'val_counts/task4_loss': 0.7471736487878803,\n",
       " 'val_loss': 10535.6612309514,\n",
       " 'val_profile/task1_loss': 3781.825943742277,\n",
       " 'val_profile/task2_loss': 3520.145676177023,\n",
       " 'val_profile/task3_loss': 1266.1999048374435,\n",
       " 'val_profile/task4_loss': 1923.789225474928}"
      ]
     },
     "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": 1.062752,
     "end_time": "2019-05-29T01:03:09.774420",
     "exception": false,
     "start_time": "2019-05-29T01:03:08.711668",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1152x288 with 4 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": 0.863244,
     "end_time": "2019-05-29T01:03:10.811751",
     "exception": false,
     "start_time": "2019-05-29T01:03:09.948507",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 4 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": 0.130234,
     "end_time": "2019-05-29T01:03:11.036746",
     "exception": false,
     "start_time": "2019-05-29T01:03:10.906512",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "papermill": {
     "duration": 0.45546,
     "end_time": "2019-05-29T01:03:11.581245",
     "exception": false,
     "start_time": "2019-05-29T01:03:11.125785",
     "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": 7.213813,
     "end_time": "2019-05-29T01:03:18.981489",
     "exception": false,
     "start_time": "2019-05-29T01:03:11.767676",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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    {
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    {
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    },
    {
     "name": "stderr",
     "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": 0.5701,
     "end_time": "2019-05-29T01:03:19.711965",
     "exception": false,
     "start_time": "2019-05-29T01:03:19.141865",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from basepair.BPNet import BiasModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "papermill": {
     "duration": 0.451593,
     "end_time": "2019-05-29T01:03:20.368132",
     "exception": false,
     "start_time": "2019-05-29T01:03:19.916539",
     "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": 90.996701,
     "end_time": "2019-05-29T01:04:51.520066",
     "exception": false,
     "start_time": "2019-05-29T01:03:20.523365",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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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",
      "  640/12396 [>.............................] - 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",
      "  672/12396 [>.............................] - 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",
      "  704/12396 [>.............................] - 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",
      "  736/12396 [>.............................] - 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",
      "  768/12396 [>.............................] - 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",
      "  800/12396 [>.............................] - 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",
      "  832/12396 [=>............................] - 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",
      "  864/12396 [=>............................] - 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",
      "  896/12396 [=>............................] - 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",
      "  928/12396 [=>............................] - 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",
      "  960/12396 [=>............................] - 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",
      "  992/12396 [=>............................] - 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",
      " 1024/12396 [=>............................] - 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",
      " 1056/12396 [=>............................] - 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",
      " 1088/12396 [=>............................] - 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",
      " 1120/12396 [=>............................] - 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",
      " 1152/12396 [=>............................] - 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",
      " 1184/12396 [=>............................] - 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",
      " 1216/12396 [=>............................] - 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",
      " 1248/12396 [==>...........................] - 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",
      " 1280/12396 [==>...........................] - 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",
      " 1312/12396 [==>...........................] - 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",
      " 1344/12396 [==>...........................] - 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",
      " 1376/12396 [==>...........................] - 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",
      " 1408/12396 [==>...........................] - 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",
      " 1440/12396 [==>...........................] - 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",
      " 1472/12396 [==>...........................] - 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",
      " 1504/12396 [==>...........................] - 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",
      " 1536/12396 [==>...........................] - 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",
      " 1568/12396 [==>...........................] - 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",
      " 1600/12396 [==>...........................] - 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",
      " 1632/12396 [==>...........................] - 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",
      " 1664/12396 [===>..........................] - 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",
      " 1696/12396 [===>..........................] - 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",
      " 1728/12396 [===>..........................] - 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",
      " 1760/12396 [===>..........................] - 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",
      " 1792/12396 [===>..........................] - 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",
      " 1824/12396 [===>..........................] - 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",
      " 1856/12396 [===>..........................] - 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",
      " 1888/12396 [===>..........................] - 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",
      " 1920/12396 [===>..........................] - ETA: 1:13"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1952/12396 [===>..........................] - ETA: 1:13"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1984/12396 [===>..........................] - ETA: 1:13"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2016/12396 [===>..........................] - ETA: 1:13"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2048/12396 [===>..........................] - ETA: 1:13"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2080/12396 [====>.........................] - 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",
      " 2112/12396 [====>.........................] - 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",
      " 2144/12396 [====>.........................] - 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",
      " 2176/12396 [====>.........................] - 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",
      " 2208/12396 [====>.........................] - 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",
      " 2240/12396 [====>.........................] - 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",
      " 2272/12396 [====>.........................] - 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",
      " 2304/12396 [====>.........................] - ETA: 1:10"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2336/12396 [====>.........................] - ETA: 1:10"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2368/12396 [====>.........................] - ETA: 1:10"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2400/12396 [====>.........................] - ETA: 1:10"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2432/12396 [====>.........................] - 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",
      " 2464/12396 [====>.........................] - 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",
      " 2496/12396 [=====>........................] - 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",
      " 2528/12396 [=====>........................] - 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",
      " 2560/12396 [=====>........................] - 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",
      " 2592/12396 [=====>........................] - 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",
      " 2624/12396 [=====>........................] - 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",
      " 2656/12396 [=====>........................] - 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",
      " 2688/12396 [=====>........................] - 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",
      " 2720/12396 [=====>........................] - 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",
      " 2752/12396 [=====>........................] - 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",
      " 2784/12396 [=====>........................] - 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",
      " 2816/12396 [=====>........................] - 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",
      " 2848/12396 [=====>........................] - 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",
      " 2880/12396 [=====>........................] - 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",
      " 2912/12396 [======>.......................] - 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",
      " 2944/12396 [======>.......................] - 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",
      " 2976/12396 [======>.......................] - 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",
      " 3008/12396 [======>.......................] - 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",
      " 3040/12396 [======>.......................] - 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",
      " 3072/12396 [======>.......................] - 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",
      " 3104/12396 [======>.......................] - 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",
      " 3136/12396 [======>.......................] - 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",
      " 3168/12396 [======>.......................] - 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",
      " 3200/12396 [======>.......................] - 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",
      " 3232/12396 [======>.......................] - 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",
      " 3264/12396 [======>.......................] - 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",
      " 3296/12396 [======>.......................] - ETA: 1:02"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3328/12396 [=======>......................] - ETA: 1:02"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3360/12396 [=======>......................] - 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",
      " 3392/12396 [=======>......................] - ETA: 1:02"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3424/12396 [=======>......................] - ETA: 1:02"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3456/12396 [=======>......................] - ETA: 1:02"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3488/12396 [=======>......................] - ETA: 1:02"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3520/12396 [=======>......................] - ETA: 1:02"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3552/12396 [=======>......................] - ETA: 1:01"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3584/12396 [=======>......................] - ETA: 1:01"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3616/12396 [=======>......................] - ETA: 1:01"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3648/12396 [=======>......................] - ETA: 1:01"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3680/12396 [=======>......................] - ETA: 1:01"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3712/12396 [=======>......................] - ETA: 1:00"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3744/12396 [========>.....................] - ETA: 1:00"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3776/12396 [========>.....................] - ETA: 1:00"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3808/12396 [========>.....................] - ETA: 1:00"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3840/12396 [========>.....................] - ETA: 59s "
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3872/12396 [========>.....................] - ETA: 59s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3904/12396 [========>.....................] - ETA: 59s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3936/12396 [========>.....................] - ETA: 59s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3968/12396 [========>.....................] - ETA: 59s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4000/12396 [========>.....................] - 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",
      " 4032/12396 [========>.....................] - 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",
      " 4064/12396 [========>.....................] - 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",
      " 4096/12396 [========>.....................] - 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",
      " 4128/12396 [========>.....................] - 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",
      " 4160/12396 [=========>....................] - 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",
      " 4192/12396 [=========>....................] - 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",
      " 4224/12396 [=========>....................] - 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",
      " 4256/12396 [=========>....................] - 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",
      " 4288/12396 [=========>....................] - 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",
      " 4320/12396 [=========>....................] - 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",
      " 4352/12396 [=========>....................] - 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",
      " 4384/12396 [=========>....................] - 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",
      " 4416/12396 [=========>....................] - 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",
      " 4448/12396 [=========>....................] - 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",
      " 4480/12396 [=========>....................] - 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",
      " 4512/12396 [=========>....................] - 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",
      " 4544/12396 [=========>....................] - 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",
      " 4576/12396 [==========>...................] - 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",
      " 4608/12396 [==========>...................] - 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",
      " 4640/12396 [==========>...................] - 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",
      " 4672/12396 [==========>...................] - 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",
      " 4704/12396 [==========>...................] - 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",
      " 4736/12396 [==========>...................] - 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",
      " 4768/12396 [==========>...................] - 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",
      " 4800/12396 [==========>...................] - 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",
      " 4832/12396 [==========>...................] - 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",
      " 4864/12396 [==========>...................] - 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",
      " 4896/12396 [==========>...................] - 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",
      " 4928/12396 [==========>...................] - 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",
      " 4960/12396 [===========>..................] - 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",
      " 4992/12396 [===========>..................] - 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",
      " 5024/12396 [===========>..................] - 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",
      " 5056/12396 [===========>..................] - 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",
      " 5088/12396 [===========>..................] - 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",
      " 5120/12396 [===========>..................] - 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",
      " 5152/12396 [===========>..................] - 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",
      " 5184/12396 [===========>..................] - 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",
      " 5216/12396 [===========>..................] - ETA: 50s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5248/12396 [===========>..................] - ETA: 50s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5280/12396 [===========>..................] - ETA: 50s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5312/12396 [===========>..................] - ETA: 50s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5344/12396 [===========>..................] - ETA: 50s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 5376/12396 [============>.................] - 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",
      " 5408/12396 [============>.................] - 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",
      " 5440/12396 [============>.................] - 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",
      " 5472/12396 [============>.................] - 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",
      " 5504/12396 [============>.................] - 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",
      " 5536/12396 [============>.................] - 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",
      " 5568/12396 [============>.................] - 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",
      " 5600/12396 [============>.................] - 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",
      " 5632/12396 [============>.................] - 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",
      " 5664/12396 [============>.................] - 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",
      " 5696/12396 [============>.................] - 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",
      " 5728/12396 [============>.................] - 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",
      " 5760/12396 [============>.................] - 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",
      " 5792/12396 [=============>................] - 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",
      " 5824/12396 [=============>................] - 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",
      " 5856/12396 [=============>................] - 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",
      " 5888/12396 [=============>................] - 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",
      " 5920/12396 [=============>................] - 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",
      " 5952/12396 [=============>................] - 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",
      " 5984/12396 [=============>................] - 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",
      " 6016/12396 [=============>................] - 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",
      " 6048/12396 [=============>................] - 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",
      " 6080/12396 [=============>................] - 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",
      " 6112/12396 [=============>................] - 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",
      " 6144/12396 [=============>................] - 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",
      " 6176/12396 [=============>................] - 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",
      " 6208/12396 [==============>...............] - 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",
      " 6240/12396 [==============>...............] - 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",
      " 6272/12396 [==============>...............] - 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",
      " 6304/12396 [==============>...............] - 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",
      " 6336/12396 [==============>...............] - 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",
      " 6368/12396 [==============>...............] - 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",
      " 6400/12396 [==============>...............] - 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",
      " 6432/12396 [==============>...............] - 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",
      " 6464/12396 [==============>...............] - 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",
      " 6496/12396 [==============>...............] - 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",
      " 6528/12396 [==============>...............] - ETA: 43s"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6560/12396 [==============>...............] - ETA: 43s"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6592/12396 [==============>...............] - 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",
      " 6624/12396 [===============>..............] - 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",
      " 6656/12396 [===============>..............] - 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",
      " 6688/12396 [===============>..............] - ETA: 42s"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6720/12396 [===============>..............] - ETA: 42s"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6752/12396 [===============>..............] - ETA: 42s"
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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",
      " 6784/12396 [===============>..............] - ETA: 42s"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 6816/12396 [===============>..............] - ETA: 42s"
     ]
    },
    {
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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"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      " 6848/12396 [===============>..............] - 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",
      " 6880/12396 [===============>..............] - 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",
      " 6912/12396 [===============>..............] - 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",
      " 6944/12396 [===============>..............] - 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",
      " 6976/12396 [===============>..............] - 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",
      " 7008/12396 [===============>..............] - 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",
      " 7040/12396 [================>.............] - 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",
      " 7072/12396 [================>.............] - 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",
      " 7104/12396 [================>.............] - 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",
      " 7136/12396 [================>.............] - 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",
      " 7168/12396 [================>.............] - 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",
      " 7200/12396 [================>.............] - 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",
      " 7232/12396 [================>.............] - 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",
      " 7264/12396 [================>.............] - 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",
      " 7296/12396 [================>.............] - 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",
      " 7328/12396 [================>.............] - 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",
      " 7360/12396 [================>.............] - 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",
      " 7392/12396 [================>.............] - 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",
      " 7424/12396 [================>.............] - 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",
      " 7456/12396 [=================>............] - 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",
      " 7488/12396 [=================>............] - 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",
      " 7520/12396 [=================>............] - 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",
      " 7552/12396 [=================>............] - 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",
      " 7584/12396 [=================>............] - 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",
      " 7616/12396 [=================>............] - 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",
      " 7648/12396 [=================>............] - 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",
      " 7680/12396 [=================>............] - 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",
      " 7712/12396 [=================>............] - 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",
      " 7744/12396 [=================>............] - 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",
      " 7776/12396 [=================>............] - 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",
      " 7808/12396 [=================>............] - 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",
      " 7840/12396 [=================>............] - 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",
      " 7872/12396 [==================>...........] - 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",
      " 7904/12396 [==================>...........] - ETA: 33s"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7936/12396 [==================>...........] - 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",
      " 7968/12396 [==================>...........] - 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",
      " 8000/12396 [==================>...........] - 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",
      " 8032/12396 [==================>...........] - 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",
      " 8064/12396 [==================>...........] - 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",
      " 8096/12396 [==================>...........] - 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",
      " 8128/12396 [==================>...........] - 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",
      " 8160/12396 [==================>...........] - 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",
      " 8192/12396 [==================>...........] - 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",
      " 8224/12396 [==================>...........] - 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",
      " 8256/12396 [==================>...........] - 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",
      " 8288/12396 [===================>..........] - 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",
      " 8320/12396 [===================>..........] - 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",
      " 8352/12396 [===================>..........] - 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",
      " 8384/12396 [===================>..........] - 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",
      " 8416/12396 [===================>..........] - 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",
      " 8448/12396 [===================>..........] - 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",
      " 8480/12396 [===================>..........] - 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",
      " 8512/12396 [===================>..........] - 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",
      " 8544/12396 [===================>..........] - 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",
      " 8576/12396 [===================>..........] - 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",
      " 8608/12396 [===================>..........] - 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",
      " 8640/12396 [===================>..........] - 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",
      " 8672/12396 [===================>..........] - 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",
      " 8704/12396 [====================>.........] - 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",
      " 8736/12396 [====================>.........] - 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",
      " 8768/12396 [====================>.........] - 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",
      " 8800/12396 [====================>.........] - 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",
      " 8832/12396 [====================>.........] - 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",
      " 8864/12396 [====================>.........] - 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",
      " 8896/12396 [====================>.........] - 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",
      " 8928/12396 [====================>.........] - 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",
      " 8960/12396 [====================>.........] - 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",
      " 8992/12396 [====================>.........] - 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",
      " 9024/12396 [====================>.........] - 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",
      " 9056/12396 [====================>.........] - ETA: 24s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9088/12396 [====================>.........] - ETA: 24s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9120/12396 [=====================>........] - ETA: 24s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9152/12396 [=====================>........] - ETA: 24s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9184/12396 [=====================>........] - ETA: 23s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9216/12396 [=====================>........] - ETA: 23s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9248/12396 [=====================>........] - ETA: 23s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9280/12396 [=====================>........] - ETA: 23s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9312/12396 [=====================>........] - ETA: 22s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9344/12396 [=====================>........] - ETA: 22s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9376/12396 [=====================>........] - ETA: 22s"
     ]
    },
    {
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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",
      " 9408/12396 [=====================>........] - ETA: 22s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9440/12396 [=====================>........] - ETA: 21s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9472/12396 [=====================>........] - ETA: 21s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9504/12396 [======================>.......] - ETA: 21s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9536/12396 [======================>.......] - ETA: 21s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9568/12396 [======================>.......] - ETA: 20s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9600/12396 [======================>.......] - ETA: 20s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9632/12396 [======================>.......] - ETA: 20s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9664/12396 [======================>.......] - ETA: 20s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9696/12396 [======================>.......] - ETA: 20s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9728/12396 [======================>.......] - ETA: 19s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9760/12396 [======================>.......] - ETA: 19s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9792/12396 [======================>.......] - ETA: 19s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9824/12396 [======================>.......] - ETA: 19s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9856/12396 [======================>.......] - ETA: 18s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9888/12396 [======================>.......] - ETA: 18s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9920/12396 [=======================>......] - ETA: 18s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9952/12396 [=======================>......] - ETA: 18s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9984/12396 [=======================>......] - ETA: 17s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10016/12396 [=======================>......] - ETA: 17s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10048/12396 [=======================>......] - ETA: 17s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10080/12396 [=======================>......] - ETA: 17s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10112/12396 [=======================>......] - ETA: 16s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10144/12396 [=======================>......] - ETA: 16s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10176/12396 [=======================>......] - ETA: 16s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10208/12396 [=======================>......] - ETA: 16s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10240/12396 [=======================>......] - ETA: 15s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10272/12396 [=======================>......] - ETA: 15s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10304/12396 [=======================>......] - ETA: 15s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10336/12396 [========================>.....] - ETA: 15s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10368/12396 [========================>.....] - ETA: 14s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10400/12396 [========================>.....] - ETA: 14s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10432/12396 [========================>.....] - ETA: 14s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10464/12396 [========================>.....] - ETA: 14s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10496/12396 [========================>.....] - ETA: 14s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10528/12396 [========================>.....] - ETA: 13s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10560/12396 [========================>.....] - ETA: 13s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10592/12396 [========================>.....] - ETA: 13s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10624/12396 [========================>.....] - ETA: 13s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10656/12396 [========================>.....] - ETA: 12s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10688/12396 [========================>.....] - ETA: 12s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10720/12396 [========================>.....] - ETA: 12s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10752/12396 [=========================>....] - ETA: 12s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10784/12396 [=========================>....] - ETA: 11s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10816/12396 [=========================>....] - ETA: 11s"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10848/12396 [=========================>....] - ETA: 11s"
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    },
    {
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "12384/12396 [============================>.] - 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",
      "12396/12396 [==============================] - 91s 7ms/step\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(valid['inputs'], verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "papermill": {
     "duration": 0.250963,
     "end_time": "2019-05-29T01:04:52.059480",
     "exception": false,
     "start_time": "2019-05-29T01:04:51.808517",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "papermill": {
     "duration": 1.462436,
     "end_time": "2019-05-29T01:04:53.811404",
     "exception": false,
     "start_time": "2019-05-29T01:04:52.348968",
     "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"
    }
   ],
   "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": 0.45902,
     "end_time": "2019-05-29T01:04:54.766132",
     "exception": false,
     "start_time": "2019-05-29T01:04:54.307112",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Profile evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "papermill": {
     "duration": 0.345542,
     "end_time": "2019-05-29T01:04:55.607612",
     "exception": false,
     "start_time": "2019-05-29T01:04:55.262070",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from joblib import Parallel, delayed\n",
    "import basepair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "papermill": {
     "duration": 0.366953,
     "end_time": "2019-05-29T01:04:56.475081",
     "exception": false,
     "start_time": "2019-05-29T01:04:56.108128",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "task=tasks[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "papermill": {
     "duration": 2.148023,
     "end_time": "2019-05-29T01:04:58.972656",
     "exception": false,
     "start_time": "2019-05-29T01:04:56.824633",
     "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": 1.026524,
     "end_time": "2019-05-29T01:05:01.300972",
     "exception": false,
     "start_time": "2019-05-29T01:05:00.274448",
     "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": 2.677189,
     "end_time": "2019-05-29T01:05:04.829776",
     "exception": false,
     "start_time": "2019-05-29T01:05:02.152587",
     "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": 0.878458,
     "end_time": "2019-05-29T01:05:05.994245",
     "exception": false,
     "start_time": "2019-05-29T01:05:05.115787",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7230012100677637"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(x>0.0001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "papermill": {
     "duration": 41.07234,
     "end_time": "2019-05-29T01:05:47.529743",
     "exception": false,
     "start_time": "2019-05-29T01:05:06.457403",
     "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": 0.263391,
     "end_time": "2019-05-29T01:05:48.149988",
     "exception": false,
     "start_time": "2019-05-29T01:05:47.886597",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      auprc  binsize  frac_ambigous  imbalance  n_positives  random_auprc   task\n",
      "0  0.000007        1       0.004732   0.000005          120      0.000006  task1\n",
      "1  0.000010       10       0.007035   0.000007           16      0.000010  task1\n",
      "0  0.000018        1       0.007304   0.000008          190      0.000008  task2\n",
      "1  0.000036       10       0.010751   0.000013           30      0.000016  task2\n",
      "0  0.000930        1       0.056239   0.000873        13926      0.000871  task3\n",
      "1  0.001219       10       0.069452   0.001121         1764      0.001146  task3\n",
      "0  0.000264        1       0.030733   0.000253         5830      0.000254  task4\n",
      "1  0.000336       10       0.039775   0.000323          736      0.000293  task4\n"
     ]
    }
   ],
   "source": [
    "# make sure to print all the rows\n",
    "print(df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "papermill": {
     "duration": 0.502767,
     "end_time": "2019-05-29T01:05:49.037744",
     "exception": true,
     "start_time": "2019-05-29T01:05:48.534977",
     "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"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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  "papermill": {
   "duration": 188.480868,
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   "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.eGFP-GABPA/results.ipynb",
   "parameters": {
    "dataspec_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.eGFP-GABPA/dataspec.yaml",
    "gpu": 2,
    "history_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.eGFP-GABPA/history.csv",
    "hparams_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.eGFP-GABPA/hparams.yaml",
    "model_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.eGFP-GABPA/model.h5",
    "num_workers": 10,
    "peak_width": 1000,
    "seq_width": 1000
   },
   "start_time": "2019-05-29T01:02:43.513284",
   "version": "0.18.1"
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