{
 "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": 0.195001,
     "end_time": "2019-05-28T12:08:24.536869",
     "exception": false,
     "start_time": "2019-05-28T12:08:24.341868",
     "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": 0.101068,
     "end_time": "2019-05-28T12:08:24.938808",
     "exception": false,
     "start_time": "2019-05-28T12:08:24.837740",
     "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.CTBP1/model.h5\"\n",
    "dataspec_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.CTBP1/dataspec.yaml\"\n",
    "hparams_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.CTBP1/hparams.yaml\"\n",
    "history_file = \"/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.CTBP1/history.csv\"\n",
    "peak_width = 1000\n",
    "seq_width = 1000\n",
    "gpu = 3\n",
    "num_workers = 10\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "papermill": {
     "duration": 7.758693,
     "end_time": "2019-05-28T12:08:32.784603",
     "exception": false,
     "start_time": "2019-05-28T12:08:25.025910",
     "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": 1.65055,
     "end_time": "2019-05-28T12:08:34.652515",
     "exception": false,
     "start_time": "2019-05-28T12:08:33.001965",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.client.session.Session at 0x7f67782d65f8>"
      ]
     },
     "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": 12.671284,
     "end_time": "2019-05-28T12:08:47.537276",
     "exception": false,
     "start_time": "2019-05-28T12:08:34.865992",
     "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 05:08:35,584 [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 05:08:42,626 [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": 0.105354,
     "end_time": "2019-05-28T12:08:47.928647",
     "exception": false,
     "start_time": "2019-05-28T12:08:47.823293",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Learning curves"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "papermill": {
     "duration": 0.153938,
     "end_time": "2019-05-28T12:08:48.176524",
     "exception": false,
     "start_time": "2019-05-28T12:08:48.022586",
     "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": 0.141151,
     "end_time": "2019-05-28T12:08:48.414090",
     "exception": false,
     "start_time": "2019-05-28T12:08:48.272939",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'epoch': 8.0,\n",
       " 'counts/task1_loss': 0.4185188846006995,\n",
       " 'counts/task2_loss': 0.4928465536501129,\n",
       " 'counts/task3_loss': 0.9673542762662548,\n",
       " 'counts/task4_loss': 0.7144650909867023,\n",
       " 'counts/task5_loss': 0.81085666690376,\n",
       " 'counts/task6_loss': 0.6809919747671589,\n",
       " 'loss': 24944.452330319447,\n",
       " 'profile/task1_loss': 3663.25202169302,\n",
       " 'profile/task2_loss': 3741.206300018807,\n",
       " 'profile/task3_loss': 5172.902373699249,\n",
       " 'profile/task4_loss': 4382.52871370361,\n",
       " 'profile/task5_loss': 4039.6631648869093,\n",
       " 'profile/task6_loss': 3904.0493129401366,\n",
       " 'val_counts/task1_loss': 0.4099524662466788,\n",
       " 'val_counts/task2_loss': 0.5058195403242374,\n",
       " 'val_counts/task3_loss': 1.113507015209409,\n",
       " 'val_counts/task4_loss': 0.7503140094869605,\n",
       " 'val_counts/task5_loss': 0.7623864853154436,\n",
       " 'val_counts/task6_loss': 0.5890458740781638,\n",
       " 'val_loss': 24286.42314473701,\n",
       " 'val_profile/task1_loss': 3601.076935061282,\n",
       " 'val_profile/task2_loss': 3663.140771072856,\n",
       " 'val_profile/task3_loss': 4917.162973566106,\n",
       " 'val_profile/task4_loss': 4214.898501882901,\n",
       " 'val_profile/task5_loss': 3956.337250496346,\n",
       " 'val_profile/task6_loss': 3892.496579973652}"
      ]
     },
     "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": 1.308201,
     "end_time": "2019-05-28T12:08:49.881017",
     "exception": false,
     "start_time": "2019-05-28T12:08:48.572816",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1728x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(dfh, [f\"{p}/{task}_loss\"\n",
    "                for task in tasks\n",
    "                for p in ['profile']\n",
    "               ], figsize=(len(tasks)*4, 4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "papermill": {
     "duration": 0.96144,
     "end_time": "2019-05-28T12:08:51.034244",
     "exception": false,
     "start_time": "2019-05-28T12:08:50.072804",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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7LyT/bVtY3PTATl1zx+PtuhwANOTBoWF97UePaHR8MuumAFhB9o2Oa/PN2/TQ0HDWTQHQhCAnuP7tp0P679+6Q3sPjmfdFCAX9uzZo09/+tNNv+6MM87Qnj17OtCiYtpx4JA+sPl23bqVvxkgrdzsSXZQ3CjpRDPbluya+GtJqyX9wMxuNbO/bed7fuQ7d2vzzdvaeUkgWCs1e7Lw1R89osu+e2/WzQBygexJz48f3KWLv3mHduw/lHVTgFwgf9Kx7+C43vf3t+mmB3dm3RQgF0LJniAnuKJqWZK0c5jODiAtHDiTk4uveLvmmmu0du3aTjWrcKJKSZK088BYxi0B8mGlZs8COyie4e4/5+6nJl+/1873rFVLGiJ7AEkrN3uyEFXK2nmAey5AInvSFFWT+65h+j6ARP6kJarE483cdwGxULInyDO4askg89CBMT3jyIwbA+TAxRdfrJ/97Gc69dRT1dvbq2q1qqOPPlq33nqr7r77bp199tnaunWrRkdH9a53vUsXXnihJGnDhg3asmWLDhw4oNe85jV66Utfqn//93/Xscceq29/+9tatWpVxp8sX9b2l9RlYqAHSJA96YmqJbIHSJA96YmqJQ2PTWp0fFJ9vd1ZNwfIFNkzPzO7SNJvS3JJd0i6wN2Xf1K8pFqyqHmIHVyAJPInLatK3aqUulnUDCRCyZ4gJ7imd3AROMiZj3znLt392L62XvNZx6zRJa979qLPueyyy3TnnXfq1ltv1fXXX6/Xvva1uvPOO7Vx40ZJ0he+8AUNDAzo4MGDesELXqA3vOENiqLoKde4//77ddVVV+mzn/2szj33XH3jG9/Q+eef39bPErruLtNApaQhVhIih7LIH7InPVGlrNt2U14E+UP2FNv07vXhMR27lkEw5AfZkw9mdqykd0p6lrsfNLOrJZ0n6UutXHdmBxcTXMgXxnyKL6qWyR7kEn2fhQU6wUVnB1jMC1/4wumwkaRPfepT+ta3viVJ2rp1q+6///7DAmfjxo069dRTJUnPf/7z9dBDD6XW3pBQqgdYGNnTOfEOLibXgfmQPZ0zs7DwEBNcwBxkz7QeSavMbFxSv6THWr0gZcKAxZE/ncN9F7CwvGZPkBNc6/pLMqOzg/xZatVNWiqVyvT3119/vf75n/9ZN954o/r7+/WKV7xCo6OHV4wol8vT33d3d+vgwYOptDU0UbWkXezgQg7lIX/Ins6pVcs6cGiCMmHIHbKn2KYXFnLfhZwhe/LB3R81s09KekTSQUnXuvu1c59nZhdKulCSjj/++CWvS5kw5FUeskcifzopqpS1bfdI1s0ADpOH/Mlr9nS1/Yop6O4yDfRzFgVQt3r1au3fv3/e3+3du1fr1q1Tf3+/7r33Xv3whz9MuXXFMlBhNQ9QR/akZ3aZMGClI3vSU5veRcF9F0D2HM7M1kk6S9JGScdIqpjZYXWH3H2Tuw+6++D69esbujZlwoAZ5E96atUS91xAIpTsCXIHl8QuCmC2KIr0kpe8RCeffLJWrVqlo446avp3r371q/W3f/u3es5znqMTTzxRp512WoYtDV+tWmaQB0iQPemhTBgwg+xJT30HF/ddANmzgFdKetDdd0iSmX1T0oslXdHqhSkTBswgf9JTH2+emnJ1dVnWzQEyFUr2BDvBxS4K4Km++tWvzvt4uVzWd7/73Xl/V697WqvVdOedd04//r73va/t7SuKqFLSvtEJjU1MqdQT5CZYoK3InnTMnD9K3weQyJ609Je6Ve7pInuABNlzmEcknWZm/YpLFJ4uaUs7LlyrlrV1F2XCgDryJx1RpazJKdfeg+Nal1TRAFayELIn2NHZqFrWENvVAaSsvouClcwA0lQvE8biHgBpMjN2rwNYkLvfJGmzpFsk3aF4jGlTO65dq5Y4dx1A6mqrk/suxpyBYAQ7wVVjBxeADNR3UTDQAyBNA/UdXGQPgJRRJgzAYtz9Enc/yd1Pdvc3u3tbOitRpaxdw4c0NeXtuBwANKRWqY/50PcBQhHsBFdULWvvwXGNTUxl3RQAK0iNMmEAMlChTBiAjESVEquYAaQuqpY05dKeg+NZNwXACjJz9jH3XUAoAp7gigeZd48QOADSE1XqJQoZ6AGQHsqEAcjKQKWsXQzyAEjZzCAzfR8A6Zk5+5jsAUIR7gRXMsjMQA+ANM2UCWOgB0C6KBMGIAu1aklDw2Nyp0wYgPRQJgxAFtb1l2RG9gAhCXaCq8YgM4AMrC73qNTdRWcHQOooEwYgC1G1pLGJKR04NJF1UwCsINM7uOj7AEhRd5dpoL/E7lEgIMFOcNHZAZavWq1m3YRgmVmyi4LsAZpF9rQmqpZZ2AMsA9nTmnrlDPIHaA7Z05r6ouah/dx3Ac0if1pD5QxgebLKno5PcJnZRWZ2l5ndaWZXmVlfO64bsYMLQEaiakk7h8keAOmq32hRJgxAmmbOoqDvAyA9a/tL6jKyB0D6okqZDRVAQHo6eXEzO1bSOyU9y90PmtnVks6T9KVWr10vE0ZnB5A++MEP6ulPf7re/va3S5IuvfRSmZluuOEG7d69W+Pj4/roRz+qs846K+OWpsfMLpL025Jc0h2SLnD30XZcO6qU2cEFiOxJW61S1tjklPYfmtCavt6smwNkhuxJ18wOLvo+WNnInnR1d5kGKiVKwwMif9IWVUu667F9WTcDyFwo2dPRCa5Z77HKzMYl9Ut6rB0XNYs7O9xoIVe+e7G0/Y72XvNpvyS95rJFn3Leeefp3e9+93TgXH311fre976niy66SGvWrNHQ0JBOO+00vf71r5eZtbd9OdTJyXUp7uz89MkD7bgU0D4Z5A/Zk67Zu9eZ4EJukD2Fxw4u5BLZsyKwsBC5w5jPilCrljVE9iBv6PssqKMTXO7+qJl9UtIjkg5Kutbdr539HDO7UNKFknT88cc3dX1qogKx5z73uXryySf12GOPaceOHVq3bp2OPvpoXXTRRbrhhhvU1dWlRx99VE888YSe9rSnZd3ctHRkcl2KOztsVwfInrRNnz964JA21ioZtwbIDtmTroFKfXKdvg9WNrInfZSGB2LkT7qiSkn7Ryd0aGJS5Z7urJsDZCaU7Ol0icJ1ks6StFHSHkl/b2bnu/sV9ee4+yZJmyRpcHCwqUMlompZQ3R2kCdLrLrppHPOOUebN2/W9u3bdd555+nKK6/Ujh07dPPNN6u3t1cbNmzQ6GhbKvTlXiOT69LyJ9gHKiWNjk9pZGxC/aU0NsICDcgof8ie9EQVdlEgh8iewuvr7dbqcg9lwpAvZM+KEFXLumPbnqybAcxgzGdFqC8s3DU8pqOPWJVxa4AEfZ8FdXX4+q+U9KC773D3cUnflPTidl28RolCYNp5552nr33ta9q8ebPOOecc7d27V0ceeaR6e3v1L//yL3r44YezbmJq5kyuHyOpYmbnz32eu29y90F3H1y/fn3D158eZGagByB7UlSb3sFF9gBkT7oGqiXtYnIdIHtSVqNqDzCN/EnP7NLwwEoXQvZ0euvBI5JOM7N+xbsoTpe0pV0Xp0QhMOPZz3629u/fr2OPPVZHH3203vSmN+l1r3udBgcHdeqpp+qkk07Kuolpmp5clyQzq0+uX7HoqxpUH2QeOnBIPzfQ345LAsEie9JDmTBgBtmTrqhSojwzILInbbVqWfsPTWh0fFJ9vZQJw8pG/qSnlkxwcQ4XEEb2dPoMrpvMbLOkWyRNSPqJknKE7RBVyzo4PkmZMCBxxx0zhw3WajXdeOON8z7vwIEDaTUpKx2fXJdYzQPUkT3pKPV0aXVfDyUKgQTZk56oWtbWXSNZNwPIBbInPbPLMx+7ljJhAPkzw8wukvTbklzSHZIucPe21EmLKlTOAGbLe/Z0ukSh3P0Sdz/J3U929ze7e9umvykTBmA+7n6TpPrk+h2Ks66tk+uSWMkMIHW1apmVhABSV6uWOIMLQOqm77vo+wCYxcyOlfROSYPufrKkbknntev604uaGfMBghD0tifKhAFYiLtfIumSTly7PrnOQA+AtEUVyjMDSF9UKWv3yJimplxdXZZ1cwCsEFTOALCIHkmrzGxcUr+kx9p14Wq5R6WeLrIHCETHd3B1Ep0d5IW7Z92EVKyUz7mUvt5uVcs9ZA9yYSX8u1wJn7FRUZVzcJAPK+Hf5Ur4jI0aqJQ0OeXae3A866ZghVsp/y5XyudcSq0ys6gZyNJK+TcZyud090clfVLx8RSPS9rr7te26/pmplqF3evIh1D+Xbai1c8Y+ARX3NnZxVkUyFBfX5927txZ+MBxd+3cuVN9fX1ZNyUXBiol7WKQGRlbCflD9jxVVC0zuY7MkT0rD6V6kAcrIXsk8me2meyh74PskD35Y2brJJ0laaOkYyRVzOz8eZ53oZltMbMtO3bsaOo9omqZfg8ytxLypx3ZE3SJwukyYQQOMnTcccdp27Ztavb/LEPU19en4447Lutm5EK8i4IbLWRrpeQP2TOjVilp18iYJqdc3ZQJQ0bInpVnpjT8mJ5xZMaNwYq1UrJHIn/qKuUerert1tB+xnyQHbInl14p6UF33yFJZvZNSS+WdMXsJ7n7JiXnsQ8ODjY1QxBVKQ2P7K2U/Gk1e4Ke4Orr7Val1E3gIFO9vb3auHFj1s1AyqJKWY/uOZh1M7DCkT/ZMbMvSDpT0pPJwcYyswFJX5e0QdJDks51993tfN+oWpa7tHtkbHrAGUgb2bPyUBoeeUD25I+Znai471N3gqQ/cve/bNd7sLAQWSN7cukRSaeZWb+kg5JOl7SlnW8QVcr6j+3723lJoGnkT2OCLlEo1Uv1sJoHQLpq1RLZA6xsX5L06jmPXSzpOnf/BUnXJT+3FYPMALIwkFTOoDwzgNnc/T53P9XdT5X0fEkjkr7VzveIqmXO4ALwFO5+k6TNkm6RdIfi8e1N7XyPWrWkoeGxQpeGA4qiABNcrOYBkL6oWtKu4TFNTdHZAVYid79B0q45D58l6cvJ91+WdHa73zdKDltngh1Amgb6k9LwTK4DWNjpkn7m7g+386K1CmXCABzO3S9x95Pc/WR3f7O7t/UGKaqWNDYxpQOHJtp5WQAdEP4EV6XMjRaA1EWVsiamXPtGx7NuCoD8OMrdH5ek5L9tP6mmxmHrADLQ092ldf29HLYOYDHnSbpqvl+Y2YVmtsXMtjR7jki8qJnsAZCumYWF3HcBeRf8BBdlwgBkoV4mjAl2AM1qbZCHHVwAshGXhqffA+BwZlaS9HpJfz/f7919k7sPuvvg+vXrm7p2PXsoEwYgTdOl4ZlgB3Iv+AkuyoQByEKNQWYAh3vCzI6WpOS/T873pFYGedau6lWXsYMLQPqiCqXhASzoNZJucfcn2n3hqFKKK2ccpEwYgPTUx3xY1AzkX/gTXJQJA5CBmcPW6ewAmPYPkt6SfP8WSd9u9xt0dZkGKM8MYB5mdpGZ3WVmd5rZVWbW187rR1TOALCwN2qB8oStWr86HmTeQf4ASNH0Di7uu4DcC3+CizJhADIwnT1McAErkpldJelGSSea2TYze5ukyyT9qpndL+lXk5/bLqowyAzgqczsWEnvlDTo7idL6lZ8Hk7bRJUyO7gAHMbM+hX3e77ZievPnIND3wdAeuqLmskeIP96sm5Aq+pbRtlFASBNA/10doCVzN3fuMCvTu/0e8eHrdPvAXCYHkmrzGxcUr+kx9p58aha0p6RcY1PTqm3O/h1kgDaxN1HJEWduv7MOTj0fQCkp9zTrdV9PWQPEIDg70yYUQeQhZ7uLq3r72W7OoDUxYet0+8BMMPdH5X0SUmPSHpc0l53v7ad7xElCwt3j9D3AZCemTJh9H0ApKtWLWuI7AFyL/gJLsqEAchKVC1r5zCdHQDpiksU0u8BMMPM1kk6S9JGScdIqpjZ+XOec6GZbTGzLTt27Gj6PaIKZ1EASF+9cgbHUgBIG/ddQBiCn+CiTBiArESVEjdaAFJXq5a0/9CERscns24KgPx4paQH3X2Hu48rPgvnxbOf4O6b3H3Q3QfXr1/f9BswwQUgC9OVM1hYCCBlcWl4sgfIu+AnuCgTBiArNcqEAchAxPmjAA73iKTTzKzfzEzxeYD3tPMN6tnDQA+AtMW1jjS7AAAgAElEQVT3XfR7AKQrInuAIAQ/wSVRJgxANgYqJQaYAaSOXRQA5nL3myRtlnSLpDsU3+dtaud71KqUCQOQjaha4hwcAKmrVUraNTKmySnPuikAFlGMCS7KhAHIQFQtaffIuCYmp7JuCoAVpL6LYojFPQBmcfdL3P0kdz/Z3d/s7m0NiTV9verpMu0iewCkjF0UALIQVctyl3aPkD9AnhVigosyYQCyMF0mjM4OgBTVd1Ew0AMgTV1dpnUctg4gA7UKO7gApC/ivgsIQiEmuOJD/wgbAOmqUSYMQAZmzuBioAdAuqicASALUbWsfaMTGpugcgaA9ESV5PxRJtiBXCvGBFelrD0j4xqnTBiAFE0fts5AD4AUVUrdKvd0kT0AUlfj7GMAGajvouD8YwBpmj5/lOwBcq0YE1xJ4OwmcACkaHq7OgM9AFJkZqpVy+yiAJC6qFpigBlA6uq7KChTCCBNM4uayR4gz4oxwVUvE8bNFoAU1aZvtMgeAOmKyzNzowUgXVGlzO5RAKlbv5oxHwDpW7uqV11G1R4g74oxwUWZMAAZWLOqRz1dxjk4AFIXVUr0ewCkLqqWdODQhEbHJ7NuCoAVZHoH137uuwCkp6vLNFChPDOQdwWZ4KJMGID0mZkGGGQGkIGBSplSGQBSR+UMAFlgzAdAVmrVElV7gJwrxAQXZcIAZCXiHBwAGahVSxoaHpO7Z90UACsIZ1EAyEK13KNSTxcLCwGkLqqW6PcAOVeICa56mTACB0DaapyDAyADUbWksYkpHTg0kXVTAKwgM7soGGQGkB4zU63CLgoA6YsqZfo9QM4VYoLLzJIZdQIHQLo4BwdAFupnUZA/ANI0XaKQ7AGQsqjKOTgA0lerlun3ADlXiAkuqT6jTmcHQLqiKufgAEgfZ1EAyAIlCgFkpcaiZgAZiKolHTg0odHxyaybAmABxZng4tA/ABmIqiUNj03q4BidHQDpqVU5fxRA+iqlbpV7uijVA2Cama01s81mdq+Z3WNmL+rE+8RnHzO5DiBdNcozA7lXmAmuGtvVAWSgVi8TRv4ASNH0Di4muACkyMwo1QNgrsslfc/dT5J0iqR7OvEm9WMp3L0TlweAec2UhmfMB8irwkxwcQ4OgCwMJGdR7GI1D4AUzWQPN1oA0hVVSyzsASBJMrM1kl4u6fOS5O5j7r6nE+9Vq5Q1Njml/YcmOnF5AJgXCwuB/CvMBNdAtaQRyoQBSBmdHQBZKPd0a3VfDyUKAaRugIWFAGacIGmHpC+a2U/M7HNmVpn7JDO70My2mNmWHTt2LOuNuO8CkIWZ0vAs7gHyquEJLjP7UzNbY2a9ZnadmQ2Z2fmdbFwzKBMGFFPus4fODhA0M3tXkjFmZp83s1vM7FVZt6sRcXlmBnmAEIWcPVGlTJkeoICWed/VI+l5kj7j7s+VNCzp4rlPcvdN7j7o7oPr169fVvuiKmXCgCLK+5hPxBlcQO41s4PrVe6+T9KZkrZJ+kVJ7+9Iq5aB1TxAYYWRPXR2gFC9NcmYV0laL+kCSZdl26TGxOWZGeQBAhVs9tSqJQ0Ncw4OUEDLue/aJmmbu9+U/LxZ8YRX20VJeWZ2rwOFk+sxn/5Sj1b1dnPfBeRYMxNcvcl/z5B0lbvv6kB7lm16NQ87uICiyXX20NkBgmfJf8+Q9EV3v23WY7lWP2wdQJCCzp6xiSkNUxoeKJqm77vcfbukrWZ2YvLQ6ZLu7kTj1q9mzAcoqFyP+UjcdwF518wE13fM7F5Jg5KuM7P1kkY706zmsZoHKKxcZ49EZwcI3M1mdq3iG6rvm9lqSVMZt6khUbXMIA8QrmCzZ6BCmTCgoJZ73/UOSVea2e2STpX08U40bl1/Muazn/suoGACGPMpa4iqPUBu9TT6RHe/2Mz+RNI+d580s2FJZy31OjNbK+lzkk6W5IrLcdy43AYvhBKFQDEtN3vSRGcHCNrbFA/GPODuI2Y2oLhUWO5FlZJ2DY9pcsrV3RXExg8AM8LNnurMwsKnR5WMWwOgXZZ73+XutyoemO6oUk+XjljVy+IeoGBCGPOpVUravi9Xc24AZml4B5eZ/bqkiSRsPizpCknHNPDSyyV9z91PknSKpHuW1dIl9Jd61F+iTBhQNMvNHjNba2abzexeM7vHzF7UqTbGg8xkDxCoF0m6z933JIcZf1jS3ozb1JCoUtKUS3tGmGAHAhRs9tTYwQUUUgtjPqmhcgZQPKFkzxD9HiC3milR+Ifuvt/MXirp1yR9WdJnFnuBma2R9HJJn5ckdx9z9z3LbexSompJO9lFARRN09mTSGVyXYoHmbnRAoL1GUkjZnaKpA9IeljS32XbpMbMnD9K/gABCjh74h1cu8geoGiWe9+VmlqlzCAzUDy5z56oWtbOA2Ny96ybAmAezUxw1U8Rfq2kz7j7tyWVlnjNCZJ2SPqimf3EzD5nZk+pY2FmF5rZFjPbsmPHjiaac7iIzg5QRE1nT/qT63R2gIBNePyP9yxJl7v75ZJWL/diZnaRmd1lZnea2VVm1te2ls4xUyaMvg8QoLZmT5oGkrOPmVwHCmc5Yz6pYlEzUEj5z55KSRNTrn0HJ7JuCoB5NDPB9aiZ/U9J50q6xszKDby+R9LzFAfUcyUNS7p49hPcfZO7D7r74Pr165tozuFqbFcHimg52bPk5LrUvgn2WrWksckp7T9EZwcI0H4z+5CkN0v6JzPrltS7nAuZ2bGS3ilp0N1PltQt6by2tXSOWn0HF30fIERty5609fV2q1ruYXIdKJ7l3HelqlYtUx4VKJ4gskeShjiaAsilZgLjXEnfl/TqZCfEgKT3L/GabZK2uftNyc+bFU94dcRActg6gEJZTvYsObkutW+Cvb6LgkFmIEi/IemQpLe6+3ZJx0r6Hy1cr0fSKjPrkdQv6bHWmzi/qL6LgoEeIETtzp5UcQ4OUEjLue9KVVQtaffIuCYmp7JuCoD2CSJ7JMZ8gLxqeILL3Uck/UzSr5nZ70s60t2vXeI12yVtNbMTk4dOl3T3chu7lKha1s7hQ5QJAwpkOdmjlCfXIw5bB4KV9FWulHSEmZ0padTdl3UOjrs/KumTkh6R9LikvfPlVbt2j67tL6nLOAcHCFE7sycLUaWknaxiBgplmfddqaqfP0rfByiOILKHMR8g1xqe4DKzdym+CTsy+brCzN7RwEvfIelKM7td0qmSPr6chjYiqpQ0PunaN0qZMKAolpM96U+u18/B4UYLCI2ZnSvpR5J+XfHqwZvM7JxlXmud4vN0Nko6RlLFzM6f+7x27R7t7jINVEoaYpAHCE47sycL9fNHARRHC2M+qalVuO8Cima52WNma81ss5nda2b3mNmLOtXGWn3Mh/suIJd6mnju2yT9J3cfliQz+xNJN0r6q8Ve5O63ShpcdgubMHMWxSEdsSqIEvYAlras7NHM5HpJ0gOSLuhUA6dX87CSGQjRH0h6gbs/KUlmtl7SPyve+dmsV0p60N13JNf6pqQXS7qiTW09TFThLAogUO3MntRFlZJu3bon62YAaK/l3nelpr6Di/suoFCWmz2XS/qeu5+TjPv0d6qB6ygND+RaMxNcJmly1s+TyWO5MV0TdXhMJyx/QTSAfFlW9qQ5uT6QdHZ2sZIQCFFXfYA5sVPLP9T4EUmnmVm/pIOKd49uabF9i+IcHCBY7cye1EXV+OzjqSlXV1eubgkBLF84Yz70fYAiaTp7zGyNpJdL+i1JcvcxSR0Lht7uLq3t7yV7gJxqZoLri4pLZ3wr+flsSZ9vf5OWj5qoQCHlPntKPV1a09ejnWxXB0L0PTP7vqSrkp9/Q9I1y7mQu99kZpsl3SJpQtJPJG1qSysXEFXLuvPRvZ18CwCd0bbsyUJUKWtyyrX34Pj0qmYAwcv9fVctGfMZYswHKJLlZM8JknZI+qKZnSLpZknvqu8CqzOzCyVdKEnHH398S43k/FEgvxqe4HL3Pzez6yW9VPFM+gXu/pNONWw5apyDAxROCNkjxSVSudECwuPu7zezN0h6ieKM2eTu31riZYtd7xJJl7SrfUuJKiWyBwhQu7MnbbMrZzDBBRRDCPdda1b1qLfbWFgIFMgys6dH0vMkvSNZZHi5pIsl/eGca29SsuBwcHDQW2lnVC0z3gzk1JITXGY2MOvHh5Kv6d+5+672N2t5ZmqiEjhA6ELKHokyYUDI3P0bkr6RdTuWo1Ytaf/ohA5NTKrc0511cwA0Iezsmamc8Ywjqxm3BkArQrrvMjNFlbKG9rO4Bwhdi9mzTdI2d78p+Xmz4gmujqlVS7pv+/5OvgWAZWpkB9fNklwz9U/rM96WfH9CB9q1LNM1UdkyChRBMNkjxaV6Hhg6kHUzADTIzPZrJlee8itJ7u5rUm7SsgwkpXp2DY/p6CNWZdwaAEspTvbM7OACELyw7ruqJbIHKIZlZ4+7bzezrWZ2orvfp/js47s72dioUtbO4Z2dfAsAy7TkBJe7b2zkQmb2bHe/q/UmtSaqsIsCKILgsqda0o8fInuAULj76kaeZ2br3H13p9uzXLMPW2eCC8i/4mUPCwuB0IV331Ume4ACaEP2vEPSlWZWkvSApAva2b65ompJe0bGNT45pd7urk6+FYAmtfNf5FfaeK1liyqcgwOsMPnInmpZu0bGNDnVUllnAPlzXdYNWMzM+aP0fYCCyXX2DPSzgwtYgXJx31WrlDgHB1hZ5s0ed7/V3Qfd/TnufnanFwZFSXnm3fR9gNxp5wSXLf2UzouqJe0ibICVJB/ZUynJXdozQv4ABZOLjFlIVKmfg0P2AAXTdPaY2Voz22xm95rZPWb2ok40TJJ6uru0rr+X7AFWllz0ieIShYfkzsJCYIXIRfbUKvWFhfR9gLxp5wRXLnoX1GMGVpzcZI/ESmaggHKRMQuZyR52cAEFs5zsuVzS99z9JEmnSLqnvU16qoFKiewBVpZc9Imialmj41MaGZvMuikA0pGb7JG47wLyqHBFQ6NKWbtHxjQxOZV1UwCsIPVdFJQJA5CmarlHpZ4udlEAK5yZrZH0ckmflyR3H3P3PZ18z6haZhUzgNTVquxeB5C+2WcfA8iXdk5w5eJfeK0alwnbPTKedVMApCM32SPR2QEKKBclMRZiZqpV2L0OFFCz2XOCpB2SvmhmPzGzz5lZpQPtmlarlrSThT3ASjJvZ8PMHjKzO8zsVjPb0ulG1AeZd5A/wEqRixudGouagdxqaYLLzE6qf+/up7XenNaxZRQoFjPrneexWv373GUPnR0gGGbWZWZdyfclM3uemQ3MedrpGTStKVG1TPYAATOzt8/zcLPZ0yPpeZI+4+7PlTQs6eI573OhmW0xsy07duxYXmNniSplzj4GCsjMqkmfaO3sx5e47/pldz/V3Qc73LzpQWb6PkDYkvsvm/XzL5vZe83sNbOfl5cxnzWretTTZSwsBHKo1R1c17alFW0UVdhFARRB0rnZJukxM7vWzDbM+nXusmftql51GWdwAaEws7MlPS7pUTM7S9L/kfRJSbeb2evqz3P3XRk1sWGcPwqEw8zeM+frvZL+uP5z/XnLyJ5tkra5+03Jz5sVT3hNc/dN7j7o7oPr169v6XNIcfbsHhmnNDwQODP79KzvXyrpbkl/JukOMzsjs4YtgLOPgcL4saS1kmRm75f0MUmrJL3HzD6RZcPmY2bxfReT60Du9Cz1BDP71EK/UhJEeVLfRcGWUSB4fyrp19z9LjM7R9IPzOzN7v5D5bBkWFeXaaDCWRRAQC6RdIrim6jbJL3A3e8zs6dL+oak72TZuGZElbLuf+JA1s0A0JiPSLpG0l2a6c90S1rdykXdfbuZbTWzE939PsU7wO5uqaVLqC8s3DUypiNX93XyrQB01uzdEf+/pLPd/RYzO0HS1YozazEu6Vozc0n/0903zX2CmV0o6UJJOv7441tq7MD0ombGfIDAdbv77uT735D0Mnc/aGaXSbpF0oeya9r8okqZDRVADi05wSXpAknvlTRf7+GN7W1O6zgHByiMkrvfJUnuvtnM7pH0TTO7WPFNVO5EFVbzACFx9+2SZGaPJAPCcveH62ULQ1GrljR04JDcXbOqfADIp2dL+nNJFUkfcfcRM3uLu3+kDdd+h6Qrzawk6QHF93EdM1OemQkuoEDWuPstkuTuD5hZdwOveYm7P2ZmRypelHivu98w+wnJpNcmSRocHGzpXq6vt1uryz0sLATCt8/MTnb3OyUNSeqTdFDxWHUu78eiaklD7B4FcqeRCa4fS7rT3f997i/M7NK2t6hFa/p6k5qoDDIDgRs3s6fVB6CTnVynS/pHST+fbdPmF1VLnEUBBMTMutx9StJbZz3WLamUXauaF1VLOjQxpeGxSVXLjXTtAGTF3R+RdE5SGvUHZvYXbbz2rZI6fv5N3fQOLvo+QOhOMrPbFe8q3WBm69x9d7Lg57DzkOdy98eS/z5pZt+S9EJJNyz+qtbUVpcpUQiE7/cUL8y5TdKTkraY2b9Keo6k3JUolKRatawHh4azbgaAORoZBTlH0uh8v3D3je1tTuu6ukzrKiV2cAHhu1jSUZK21x9w921m9gpJ/y2rRi0mqpZ156N7s24GgMZcqHgia9TdfzTr8Z+TdFk2TVqeaNZh60xwAWFw92+b2Q8UlyzclnV7loPS8EBhPHPOz/W6xwOS/mixF5pZRVKXu+9Pvn+VpD9ufxOfisoZQPjc/XYze57i3PhFxWXjt0l6j7vvybRxC4gYbwZyacktn+6+Kymd8fy5v5t9CHueRBUOWwdC5+7/7O63zc2epKNze0bNWlRUKTHIAwTC3X/s7qPzZMxDkoKaqa4ftk6pHiAcZvZ8dx9x9/e7+8uTx3J5b7WQqEJpeKAI3P1hd39YUi35fjx5fEjS+BIvP0rSvyU7MH4k6Z/c/XudbXFSJoz7LiB47j4p6Ul3v9zd/8zdv+7ue/LaJ4qqZR0cn9TI2ETWTQEwSzM1TT9rZr9U/8HM3ijpw+1vUutq1TKreYDiCCh7Sto/OqFDE5NZNwVA44LJmIXM3sEFIBjBZ88Rq3rVTWl4oEiaziV3f8DdT0m+nu3uH+t4KxUPMjO5DhRGMH2i+sJC8gfIl2YmuM6R9GUze6aZ/Y6ktyveRpo7UZUdXECBBJQ98SAzZ1EAQQkmYxYyfaNF9gAhCT57urpMA5TqAYokmFyqVUraNTKmySnPuikAWhdO9kxXzmBxD5AnDR/U4O4PmNl5kv6XpK2SXuXuBzvWshZEFVbzAEURVvbMrOY5+ohVGbcGQCNCypiFDExnDzdaQCiKkD0SpeGBIgkpl6JqWe7S7pEx1ZJFhgDCFFT2TFfOoO8D5MmSE1xmdoek2ctiBiR1S7rJzOTuz+lU45YrqpZ04NCERscn1dfbnXVzACxDqNkjsZoHCEGIGbOQvt5urS73cAYXEIAiZY9EaXigCELMpdllwpjgAsIUdPZQnhnIlUZ2cJ3Z8Va0WW1WqZ5j17KLAghUcNlTX81DiUIgCMFlzGKiaonsAcJQqOwZqJS0dfdI1s0A0Jrgcqk+qRVPsK/OtjEAliu47KmP+bCwEMiXJc/gcveH3f1hxZNh25PvN0o6S9LeDrdvWThsHQhfkNnDgaNAMELMmMVE1TIrCYEAFC97OIMLCF2IuTR9Dg6Le4BghZg9q0rdqpS66fsAObPkBNcs35A0aWbPkPR5xaHz1Y60qkUMMgOFEkz2VMs9KvV0aYhBZiAkwWTMYqIKg8xAYAqRPbVqebo0PIDgBZNL07so9nPfBRRAMNkjsbAQyKNmJrim3H1C0n+R9JfufpGkozvTrNbUt6tzDg5QCMFkj5mpxiAzEJpgMmYxUbVMqQwgLMXInkq8sJASqUAhBJNLR6zqVXeXMcgMFEMw2SPFO0gZ8wHypZkJrnEze6Ok35T0j8ljve1vUusGKjNncAEIXjDZIyWreZhcB0ISVMYspFYtadfwIU1N+dJPBpAHhcie6fsuBnqAIggml7q6TAMsLASKIpjskeoLCxnzAfKkmQmuCyS9SNLH3P1BM9so6YrONKs1/aVu9fV2sZIQKIZgskdKzqIge4CQBJUxC4kqJU25tOfgeNZNAdCYYmRPvXIGuyiAIggql6JKid3rQDEElT01xnyA3Olp9Inufrekd876+UFJl3WiUa0yM0UVZtSBIggpe6S4Hvz9TxzIuhkAGhRaxiykPsi888Ch6R0VAPKrKNlT4+xjoDBCy6X1qzkHByiC0LInqpS1a3hMU1Ouri7LujkA1MQEl5n9gqRPSHqWpL764+5+Qgfa1TJqogLFEFr2RNWShg4ckrvLjM4OkHehZcxComSQeejAmH7hqIwbA2BJxcmeeHJ9F4PMQPBCy6WoUtLDO0eybgaAFgWXPdWSJqdcew+Oax0LC4FcaKZE4RclfUbShKRflvR3kr7SiUa1Q1RlNQ9QEGFlT6WkQxNTGhmbzLopABoTVMYspFbfwUXfBwhFIbKnUupWuaeLhYVAMQSVS5yDAxRGcNkjcd8F5EkzE1yr3P06SebuD7v7pZJ+pTPNal3EgaNAUYSVPdNlwsgfIBBtzRgzW2tmm83sXjO7x8xe1LaWLqJelpDsAYIRVP9mIXFpeM7BAQoiqFyKqiWNjE1qZGwi66YAaE1Q2VOrzFTOAJAPDZcolDRqZl2S7jez35f0qKQjO9Os1kXVsnYeGKNMGBC+wLIn6ewMH9LxUX/GrQHQgHZnzOWSvufu55hZSVIqQbCuvySz+AwuAEEIqn+zGCpnAIURVC7VKjMLC/sHmhnaApAzQWUPi5qB/GlmB9e7FQ/SvFPS8yWdL+k3O9GodqhVSxqbnNL+Q6zmAQIXVvZU6OwAgWlbxpjZGkkvl/R5SXL3MXff06Z2Lqq7yzTQX9LQMNkDBCKo/s1iompJu8geoAiCyqX6wsKd5A8QukCzh8U9QF40M8G1wd0PuPs2d7/A3d8g6fhONaxV04HDIDMQukCzh84OEIh2ZswJknZI+qKZ/cTMPmdmlblPMrMLzWyLmW3ZsWNHK21/iqha0i76PUAogurfLCaqlLnnAoohqFya2UXBfRcQuKCyp145gxKFQH40M8H1oQYfy4WoQmcHKIigsmf6HBxWEgKhaGfG9Eh6nqTPuPtzJQ1Lunjuk9x9k7sPuvvg+vXrl/lWh4sqlAkDAhJU/2YxUbWkoQOH5O5ZNwVAa4LKpRqLmoGiCCp76pUzGG8G8mPJQsVm9hpJZ0g61sw+NetXayTltv7fAIf+AUELNXv6ertVLfdoiM4OkGsdyphtkra5+03Jz5s1zwRXp0TVku5+bF9abwdgGULt3ywmqpR0aGJKw2OTqpY5BwcITTtyycy6JW2R9Ki7n9n+Vh6uvqh5iMU9QJBC7hNF1RKT60CONHIH8qjijsrrJd086/H9ki7qRKPaoVbfrk5nBwhVkNkjcRYFEIi2Z4y7bzezrWZ2orvfJ+l0SXe33NIG1aplJteB/Au2f7OQ2WXCmOACgtSOXHqXpHsUD0ynYlWpW5VSt4b2c98FBCrYPhGVM4B8aeQO5PclfVfSye6+fzlvksVqnvoOLs6iAILVcvZkJaqwmgcIQKcy5h2SrjSzkqQHJF3QxmsvKqqUtG90QmMTUyr1NFOFGkCKgu3fLGTmsPUxPT067NhBAPnXUi6Z2XGSXivpY5Le0+a2LSqqMsgMBCzYPhGVM4B8aWT04wuSTpF0jZldZ2YfNLNTmnyf+mqe1JR6urSmr4dzcIBwtSN7MhGxiwIIQUcyxt1vTc7Xeo67n+3uu1tvamPquyjYQQrkWrD9m4XUps8+JnuAQLWaS38p6QOSphZ6gpldaGZbzGzLjh07WmzuDMqEAUELtk9Uq5a1gzEfIDeWnOBy9x+6+6Xu/jJJ50p6RNJ7zexWM/uCmZ272Otnreb5XFta3ARK9QDhajV7pHj3qJn9xMz+seMNnqVWLTG5DuRcOzImb+q7KOj7APlVxOwZqO/gInuAILWSS2Z2pqQn3f3mhZ6TvMemZAHQ4Pr169vW9qjCmA8QqpD7RFGlpP2jEzo0MZl1UwCosRKF09x9p6Srki+Z2fMlvXqJl9VX86xeTgNbwWoeoBiWmT1SBrXgpfhGa9fwmKamXF1dluZbA1iGFjImV2qzyoQByL+iZE9UIXuAolhGLr1E0uvN7AxJfZLWmNkV7n5+xxuruO9z27Y9abwVgA4KrU80u3LG0Uesyrg1ABo+oMHM3mVmayz2OTO7RVLN3T+2yGuWXM3Tqa3qEof+AUWwnOxJXpfZ7tGoWtLklGvvwfG03xpAk5abMXkUTZcJo+8D5F2Rsqevt1vVcg8LC4HALSeX3P1D7n6cu2+QdJ6k/53W5JYUV+2pLywEEKYQ+0TT54/S9wFyoZkTyN/q7vskvUrSkYoPTf/EEq+pr+Z5SNLXJP2KmV0x+wmd2qousYMLKIjlZI+UYS34gemVzAwyAwFYbsbkDjdaQFAKkz1Sct9FvwcIXXC5xMJCoBCCy54apeGBXGlmgqteZ+sMSV9099tmPTavrFfzRNWydo2MaZLVPEDIms6erGvB16octg4EpOmMyatquUel7i4NMcgMhKAw2SPFZQrp9wDBaymX3P16dz+zIy1bQL1MGIPMQNCWnT1Znbs+UzmDvg+QB81McN1sZtcqDpzvm9lqLbIzIg9q1ZLcpd0jBA4QsOVkz5K7Rzsp4hwcICTB9W8WYmbsXgfCUZjskaSBSpkBZiB8weVSrVLfRUHfBwhYK9lTP3c9VTNjPvR9gDzoaeK5b5N0qqQH3H3EzCLF20Yb4u7XS7q+qda1aLpM2IGx6R0VAILTdPa4+4ckfUiSzOwVkt6X6u5RzsEBQtJS/yZv4gkusgcIQKGyp1Yt6fZte7JuBoDWBJdL9R1cDDIDQVtW9sw6d/1jkt7T2SY+VbXco1JPF4CFGMAAACAASURBVAsLgZxoZgfXD9z9FnffI0nuvlPSX3SmWe3BIDNQCMFlz7r+XpmxkhAIRHAZs5ioEh+2DiD3ipU91ZJ2DY9pitLwQMiCyyXOHwUKYbnZk9m562amWqXEmA+QE0vu4DKzPkn9kmpmtk4zdVDXSDqmg21rWY0yYUCw2pU9Wewe7enu0rp+DlsH8izk/s1iompJP33yQNbNALCAwmZPpayJKde+0XGt7S9l3RwATQg5l9b1l9RlLGoGQtRK9sw+dz2p2jMvd98kaZMkDQ4OtnUVTlQtM+YD5EQjJQp/V9K7FYfLzZoJnH2S/qZD7WqL6e3qdHaAEAWbPRKHrQMBCDpjFlJLbrTcXWYNnwsPID2FzJ76LoqhA2NMcAHhCTaXurtMA5WShljUDISoleypn7t+hqQ+SWvM7IpUj6bg7GMgN5ac4HL3yyVdbmbvcPe/SqFNbbN2VW+8mofODhCckLNHis8ApLMD5FfoGbOQqFLS6PiURsYmVSk3c9QqgDQUN3tmFhY+48hqxq0B0IzQcymqlDW0n0XNQGhayZ6sz12X4uz5j+3703xLAAtoeOTD3f/KzF4sacPs17n733WgXW3R1WUaqJSpiQoELMTskeJdFPds35d1MwAsIdSMWcjM7vUxJriAHOtE9phZt6Qtkh519zNbbmQT6ju4OAMQCFeofaKoWmJRMxCwULOnVo13j1I5A8hewyMfZvYVST8v6VZJk8nDLin3gUOJQiBcoWZP/bB1APkWasYsZLpM2PAhHR/1Z9waAAvpUPa8S9I9is+uSNVM9tD3AUIVap8oqpZ1x7Y9WTcDwDK1mj1ZnLsuxX2fsYkpHTg0odV9vWm/PYBZmlnaOyjpWe7e1kP5Oo3VPEDwwsyeSll7RsY1Pjml3u6urJsDYGFBZsxCapWZHVwAcq2t2WNmx0l6raSPSXpPO67ZjIHk3C0WFgJBC7JPxNnHQPACzZ6Z+y4muIBsNTPqeqekp3WqIZ0SVcrcaAFhCzN7kpXMu5lgB/IuyIxZSD176PsAudfu7PlLSR+QNNXGazasp7tLa/t7GWQGwhZkn6hWLWn/oQmNjk8u/WQAeRRk9kzfdw1z3wVkrZkdXDVJd9v/a+/egyTL7rvAf3/3ma/qemT2PDQzrZHRSLZQ2JajPQhrjbXCa8SglQibAMmY1dqwE4CJlReMLUGsUewuEevdwLBeOwJm/QAFCuxAsr3CyMizRrJQ2EgeidFzNJqRPKOeZ3d1VdcrKzPv47d/nHMzb2ZldVdVZ96bt/L7ibhzn5V5KqfzV+ee3znninwGwPDbq6pvn3mpZqjdYm8eooqrZOzpZFP17A9wx4VayaUhopuoZIw5zkYzu9Fi3Ydowc0s9ojI2wBcVdXP2getH3fdwwAeBoBLly6dusC30m5yemaiiqtknahjnz+6dTDAK9bqJZeGiM6g0rFnk23ORKU7TYLr/fMqxDy1m6PePDXfLbs4RHR67y+7AGfRtpUd9uYhWnjvL7sAs1TzXayEHjY5goto0b1/hq/1JgBvF5GHANQAXBCRf62qP5K/SFUfAfAIAFy+fHnm0wC1WyFjD1G1vb/sApzF8L5rnwkuoop6f9kFOIvRzBlMcBGV7cQJLlX9/XkWZF7a7M1DVGmVjT1NVnaIqqCqMeZmOHqdaPHNMvao6vsAvA8A7Aiun5xMbhWh0wrwtZf3i35bIpqRqtaJ2sOZM5hgJ6qiqsae4cwZjD1EpTtxgktE9gBkPf0CAD6AA1W9MI+CzUrWyMwEF1E1VTf2ZMPVWdkhWmRVjTE3s9EMOHqUaMGd29jDeg9RZVU1LnV430VUaVWNPaHnYqXmcWp4ogVwmhFcK/l9EfmLAB6ceYlmrN1iZYeoyqoaey7UPXiO8FkURAuuqjHmZtqtEFe2umUXg4huYl6xR1U/AeATt/s6Z9FuhtjuRoiTFJ7rlFEEIroNVa0TDacJ430XUSVVNfYA5jlcbG8mKt+Z7zxU9bcAvGWGZZmLDudEJTpXqhJ7RITThBFVUFVizM10WgEbeYgq5rzEHgDY7kYll4SIZqEqcakRuKj5DkeQEp0TVYk9gJk1jG0+ROU7zRSFP5jbdQBcxmgI6cIaPnCUU/UQVVJVYw9gejIz9hAttirHmOO0myG2DgZIU4XjSNnFIaIpzmXsyd13XVwJSy4NEZ1WVeOSiKDTCtnITFRRVY09gBlB+sebB2UXg2jpnTjBBeC/zW3HAJ4B8I6ZlmYOmoGL0HNY2SGqrkrGHsBUdjYZe4gWXWVjzHHarQBJqtg5jLBun0VKRAvn/MWeJmfOIKq4ysaldivEJkevE1VVpWPPY89sl10MoqV3mmdw/eg8CzIvWW8eNjITVVNVYw9g5mN+5jp78xAtsirHmOPkR1EwwUW0mM5n7DHxhs+iIKqms8QlEakB+CSAEKZ96UOq+o9mXbZb6TQDvLTbK/ptiWgGqlwn6jQDbHUHSFKFy5kziEpz4mdwici9IvKbInJVRF4WkQ+LyL3zLNystFsBpwkjqqhKxx7Ox0y08KocY47TaWaNzIw/RIvqPMaedtMk17c4ioKoks4Yl/oA3qKq3wHgOwG8VUTeOP/SjjMzZ7DNh6iKqlwnardCqALbXdZ9iMp04gQXgF8F8BEArwBwD4B/Z48tPDYyE1VaZWPPRitAd5CgO4jLLgoRHa+yMeY4wxFcrPsQLbJzF3tW6z5cRxh7iKrr1HFJjX2769ul8GfntO0zuFQr8dgeIhpX2TpRNnqddR+icp0mwXVRVX9VVWO7/EsAF+dUrpnaaIa4zt48RFVV2djTabKRmagCKhtjjjO80eLodaJFdu5ij+MINpqcOYOows4Ul0TEFZHHAVwF8KiqfnrKNQ+LyGMi8ti1a9dmXvB2M0CcKnYP2bGQqIIqWydqD9t8WPchKtNpElybIvIjtvLiisiPALg+r4LNUqcVYPOAvXmIKqqysSdrZOZUPUQLrbIx5jjrjQAinKKQaMGdu9gDmEZmxh6iyjpTXFLVRFW/E8C9AB4UkddPueYRVb2sqpcvXpx9u3XHjl7fZIKdqIoqWyfqZM8fZZsPUalOk+D6MQB/GcBLAF4E8JcAVOJBgO1WgEGc4mCQlF0UIjq9Csce25uHN1pEi2zmMcbemP0XEfntGZTv1FxHsNEI2JOQaLFVtn5zM+0WYw9Rhd1WXFLVGwA+AeCt8yjczXQ4PTNRlVW2TjSaGp51H6IynSbB9b8CeLeqXlTVO2AC0PvnUqoZ45BRokqrcOyxvXl4o0W0yOYRY94D4InbLdjtMI3MjD1EC6yy9ZubaTdDjlwnqq5TxyURuSgia3a7DuD7AXx13gWdNHoODtt8iCqosnWiNT5/lGghnCbB9e2qup3tqOoWgDfMvkizl1V22MhMVEmVjz2s7BAttJnGGBG5F8BfAPBLMyjbmbWbIUePEi22ytZvbobJdaJKO0tcuhvAx0XkCwD+COYZXIWPYG9zmjCiKqtsnYjPHyVaDN4prnVEZD0LOiKyccqfL02HQ0aJqqyysacReGgELmMP0WKbdYz5ZwB+CsDKcReIyMMAHgaAS5cu3cZbHW+jFeCJF3fn8tpENBOVrd/cTKcVYq8foxclqPlu2cUhotM5dVxS1S9gARqiNxo2wbXH+y6iCqp0nYjPHyUq32kCxj8B8Aci8iEACjM/6j+eS6lmbDiKgr15iKqosrEHgO3Nw9hDtMBmFmNE5G0ArqrqZ0Xkzcddp6qPAHgEAC5fvqxnea9b6TQ5ioJowVW6fnOcDTs989bBAK9Yq5dcGiI6pcrGJc91sN7wOYqCqJoqG3sA07mHnZqJynXiBJeqfkBEHgPwFgAC4AdV9StzK9kMZTdaDDhE1VPl2AOYh45uMvYQLawZx5g3AXi7iDwEoAbggoj8a1X9kRkV98TarRA7hxEGcYrAO82M1ERUhKrXb47TZoKLqLKqHpfarZCde4gqqPqxJ8CVK92yi0G01E415NMGmMoEmUzouVipeRwySlRRVY09gBlF8dJur+xiENFNzCrGqOr7ALwPAOwIrp8sI7kFjEavb3cHuPNCrYwiENEtVLl+c5y2nRqenXuIqqnKcanN0etElVXt2MPkOlHZlqZLb6cVcpowIiocH7ZORGVoN9nITETF62RTw7PuQ0QF66yE2OQUhURUsHYrwL59/igRlWNpElwbzYBTFBJR4dqtENcP+lCdy2N2iGhBqeonVPVtZb0/G5mJqAzDqeHZyExEBePzR4moDMP7Lg6qICrN0iS4OFydiMrQbgaIEsVuLy67KES0RLJpwtjITERFaoUeAs/hfRcRFS7//FEioqJkM2dwUAVReZYnwWVHURARFanTYmWHiIrX5gguIiqBiJhRFOzFTEQFy+o+W4w/RFQg3ncRlW9pElydVoCtgwHSlNOEEVFx2hyuTkQlWAk9BK6DTd5oEVHB2q2QHXuIqHB8/igRlSHr1MzYQ1SepUlwtZsBUgVuHEZlF4WIlsjwWRSs7BBRgUQE7RafP0pExWu3OIKLiIrH5+AQURnYqZmofMuT4OI0YURUglFvHlZ2iKhYbGQmojJs8NnHRFQCTg1PRGVoBB7qvsvYQ1SiJUpwmYw6G5mJqEjrDc4FT0TlaDc5TRgRFa9jn32syqnhiag4fA4OEZXFzJzB2ENUlqVJcA178xywoYeIihN4DlbrPhuZiahw7VbAjj1EVLh2M0AvStEdJGUXhYiWSCv0EHgONtnmQ0QFa7dCbLJTM1FplibB1W6yNw8RlaPdCljZIaLCtZsBR48SUeFGU8Mz/hBRcUQEnWaAzT3GHiIqVqfJZx8TlWmuCS4RuU9EPi4iT4jIl0XkPfN8v5tZawRwhPMxE1HxOpwmjIhK0G6FOIwSdAdx2UUhoiWSdSzkKAoiKlrbTpFKRFQkTlFIVK55j+CKAfw9Vf02AG8E8OMi8ro5v+dUriNYb3AUBREVj5UdIioDR68TURmy5+BsMfYQUcF430VEZWjz+aNEpZprgktVX1TVz9ntPQBPALhnnu95M6ayw948ROfdIo0eBYCNZoDrTK4TUcGy549usu5DRAVq89nHRFSSNmfOIKIStJsBokSxe8iZM4jKUNgzuETkfgBvAPDpot5zkqnssJGZaAkszOhRwDT0bHcHSFL25iGi4mSjKFj3IaIiDacoZOwhooJ1VsysPRxFQURFGnYsZOceolIUkuASkRaADwP4CVXdnTj3sIg8JiKPXbt2ba7laLf4sHWiZbBoo0c7rQCqwHaX8YeIisNRFERUhprvohV6TK4TLYFFmzmj0wwxiFPs9zmKgoiKw46FROWae4JLRHyY5NYHVfU3Js+r6iOqellVL1+8eHGuZem0Qk7TQ7RkbjZ6tKgEe7tpG5lZ2SGiAnEUBRGVxUzPzPsuoiWwYDNnsJGZaBksWnJ91ObDug9RGeaa4BIRAfDLAJ5Q1Z+b53udRLsZYLcXYxCnZReFiApws9GjQHEJ9tGNFis7RFQcjqIgorJw5gyi5bBoM2e0+fxRomWxUMn1jm3z2WTdh6gU8x7B9SYAfw3AW0Tkcbs8NOf3PFZW2eHNFtH5d6vRo0ViZYeIytJucRQFERWv3Qw5epRoySzGzBkcvU60DBYtub7eZKdmojJ583xxVf0UAJnne5xGNopic7+Pu1ZrJZeGiOZl8UaPcrg6EZWj3Qw4gouICtdpBfjCczfKLgYRFeQkM2cAeAQALl++rPMqR4fPHyVaOrdKrgN4GAAuXbo0tzL4roO1hs/7LqKSzP0ZXIskG0VxnaMoiM67hRo9ulr34TrCyg4RFa7N548SUQk2mmaKQtW5tWMT0YJYpJkzNpp8BhfRMlmUx1IAtmMhk+tEpZjrCK5Fw1EURMth0UaPOo5gvcHKDhEVr9MK8PgVjqIgOu9E5D4AHwBwF4AUwCOq+n+VVZ52K0ScKnYPY6w2/LKKQURztmgzZwSeg9W6zzYfoiWwSMl1IOtYyOQ6URmWagTXRou9eYioHJ1WwMoOERWu3QyxfTBAmnIUBdE5t6APW2cjM9E5t1AzZwDm0RR89jHR+bZoyXXA1H2YXCcqx1KN4FoJPQSuwxstIipcu2Wm6iEiKlK7FZhRFL0Ia42g7OIQ0Zyo6osAXrTbeyKSPWz9K2WUZzRzxgB/Yr4zAhFRiRZt5gwA6DRDbO6xzYfonMuS618UkcftsX+gqh8tq0DtZojrB9fLenuipbZUCS4RQbvFh60TUfHazZAPWyeiwmXPotjcHzDBRbQkbvaw9aK0hzNnsJGZiIrVbgV46up+2cUgojlaxOR6uxXgRjdClKTw3aWaMI2odEv3jeMoCiIqA5PrRFSGTovPHyVaJjd72LqIPCwij4nIY9euXZtrOdpZcp33XURUsDanCSOiErTtfdc26z5EhVu+BFczZGWHiArXaYXY68foRUnZRSGiJTIcRcEbLaJz71YPW1fVR1T1sqpevnhxvvMGrtsE1xY79xBRwdrNENvdCHGSll0UIloindzMGURUrOVLcLUCBhsiKlzWk5kjSImoSKPn4LBzD9F5tmgPW/ddB2sNH9f57GMiKlhnxdR9trq87yKi4mQjuFj3ISre0iW4Oq0Q1w/6UNWyi0JESyR7Dg6nKSSiIq03fIiwJyHREsgetv4WEXncLg+VWaB2k9MzE1HxOrzvIqISjJ4/ythDVDSv7AIUrd0M0ItSdAcJmuHS/fpEVJKsN88me/MQUYE818F6I2BPQqJzbjEfth5ik6NHiahgw1EUbGQmogJ17MwZrPsQFW/pRnCxskNEZei0+CwKovNORO4TkY+LyBMi8mUReU/ZZQI4ioKIytFuBpyamYgKl42iYCMzERXpQt2D5wiffUxUguVLcGUP/WNPZiIqEOdjJloKMYC/p6rfBuCNAH5cRF5XcpnQbjHBRUTFa7cCNvIQUeE4ioKIyiAi9r6LsYeoaMuX4OKcqERUgmbgIvQcxh6ic0xVX1TVz9ntPQBPALin3FLZacKYXCeigrWbIba7A8RJWnZRiGiJXKh78F2OoiCi4rWbIdt8iEqwhAmubIpCNvQQUXFEBJ1WiE1WdoiWgojcD+ANAD5dbknMw9Z5o0VEReu0AqgC292o7KIQ0RIREdvIzDYfIipWuxVgk8l1osItX4LLTlHI3jxEVDQzVQ9vtIjOOxFpAfgwgJ9Q1d0p5x8WkcdE5LFr167NvTztVoidwwgRR1EQUYE2mpyemYjKwemZiagMnRaT60RlWLoEV8130Qo9zsdMRIXb4CgKonNPRHyY5NYHVfU3pl2jqo+o6mVVvXzx4sW5lymbnnmbnXuIqEBZ7Nli3YeICmamZ2bsIaJitdnmQ1SKpUtwAeZma4uVHSIqGKfKIDrfREQA/DKAJ1T158ouT6Y9fNg66z5EVJyOTXCxkZmIimamZ+Z9FxEVq90KcRgl6A7isotCtFSWM8HFjDoRlaDTCnD9YABVLbsoRDQfbwLw1wC8RUQet8tDZRcqG0XBacKIqEhZcp2NzERUtHYrwOZ+n/ddRFSo4X0X25yJCuWVXYAytFshrmx1yy4GES2ZditAP05xMEjQCpcy/BKda6r6KQBSdjkmDZ8/yhstIirQat2H6whjDxEVrt0K0YtSdAcJmrzvIqKCDEev7/dx30aj5NIQLY+lHMGVjaIgIioSezITURnarWyKQsYeIiqO4wjWG7zvIqLisXMPEZWh08rafBh7iIq0lAmudjPE1sEAacrh6kRUnPawNw8rO0RUnAs1D74rbGQmosJ1WnwODhEVr7NiO/dwemYiKlDWsZBTwxMVaykTXBvNAEmq2DmMyi4KES2RUW8eVnaIqDgignYzZOwhosK1OXMGEZWg0+QoCiIqXjZ6lJ2aiYq1lJMR5x+2vm6DDxHRvG1kU2WwoYeITuvDfwMQF1i7BKzdB6zeZ7ZX7wW88JY/3m4FbOQhosK1myG+8NyNsotBRHMiIr8C4G0Arqrq68suT2bY5sPOPURUoJrvohV6vO8iKthSJrg6w2dRDPDqO0ouDBEtjWGCizdaRHRa+1eB608Dey8Cmo6fa91lkl5rl2zi6z5g9dIoGRY00W6F2GRynYgKttFkcp3onPuXAH4BwAdKLscYdiwkorKY0ets8yEq0lImuEa9eVjZIaLi1HwXK6HH4epEdHrv/ohZJxGw+zxw4wpw45vAzhWzvfNN4PnPAV/5CJBOTMFc38A/1g6eHrSB33sTcMe3ARdfC7QfAPxa8b8LES2NTivAXj9GP04Qem7ZxSGiGVPVT4rI/WWXY1J233Vtj43MRFSsNjv3EBVuORNcTT70j4jK0W4F2GJPQiI6K9cH1u83yzRpCuy/ZJNeV4AbzwI3rmDw9BO4//AZ4FOfATQx14oDrL9qlPC6aNed1zDxRUQzkT1sfetggLtX6yWXhojKIiIPA3gYAC5dulTIe/IZgERUhnYrxJWtbtnFIFoqS5ngWm/4EOEILiIqXrsVMrlORPPjOMCFV5gFf2p4+NHf/zr+99/5Kr7yM29GY+9Z4NoTwLUngat2/eTvTCS+7jcJrzu+Fbhol84DgG8bqJMYGOzb5cCs+7nt7Hh/4prBgXmN5kWztO6w23cALXvMZyM40cJ49g/MFKn1daCxYdb1DSBonOjH283RzBlMcBEtL1V9BMAjAHD58mUt4j3brRD/6alr+NFf/QyaoYdW6KEReGiFLpqhZxcXzcCcG+5n24EH15EiikpE50inFeDxK3z+KFGRljLB5bkO1hucE5WIitduBvgme/MQUcGGjcw9QePO1wF3vm78gngAbH3dJry+aparXwWe+hiQxuYacYDamklSJaeoQ/kNIGgBQdMsURfYvwYM9qZfH6yMkl1jSTC73WgDXs2MZnN8wA0A1zNrxzfHXXvc8QBh4xTRmX36XwBf+a2jx73aKNlVXwca66P9XCLslfseHpDnsL21CdyzWnz5iWhp/fCDl/BvP3sFm/sDPHu9i/1+jO4gwcEghp4wxVbzHTQDD/XAHa1DF3XfQyO33Qxd1AMXDd9FI7Tn7PWN4WKO1wMXgetAWD8hOpfazRDX9/v4qQ99Hr7rIPAcBHbtT6wDV0b7rgPfcxBma89B6Lmo+Q5qvovQG60ZP4jGLU+CK02A/i7Q2wX6u/i+8ClsP/l1/N8ffglxrQMJmwg9EyhC3wSW0AaO0DOBJztf8x0ErovQd1DzXNQChxUUIjLi/jDOoLczFnfQ28Vf3v8a/vjGDr757z8DaXXgtC7CbV2Ef+FOhKsXUQtr8Fyn7N+CiM6Zjp0m7O9/6PO4tNHARjNEuxlgoxlgoxXY7Vei/ZrXoP76Hxz9YJb4yhJe3U2bqFoZJazCVi6BldsOWya55Rzz3J3oEDi4ZpJdB1fttl1n29efBr75h0B3C8AZO3znk175hJiTX9yJ/WnHJvZd3ybaArP2svWUY27uXP6Y609532yp8N8CVZMYTSLzTLgktutp+7H5fVt3miSmuzy3J5XwF/4J8H0/Zb6Dh9vAoV13t+z2DbO9+bTZ726NPQfwtQAeDQF8GMBH10dTrK7fD6y9crS9eq/5PhARAcCT/wH41D81o8vTxK7Tif14yrHRtT+kCX4oaAIX7gEu3gus3ges3oP0wr3oN+7GQf0u7HltHAxSm/yKsd9PcNCP7WKSYd1BjG4/GSbHDgcJtg4OcTiIcTBIcHjKpBkAuI6g4bvDBFjdJr/yybBhwixw4bkOUlWkCqSpDrdVFUlqj6vmlqPnplWjphVZj/lFRAS+Kwg91zTM59rKhu1n7sRx2442auAXeI4DzxX4rgPPEXiuA98VuI7Adxw4HDVHFfc9r27jo198Ef/pqU1ESYp+nCJKUgziFOmMxq8GnoOaZ753Nds2PWyjnkiGhf6oPTu0P2O+s6MkWv66IJdc81xBmiqSLJ6ksNspkhQ2xphzw0V17GdM+LFrG4qyOKP2P8Pz9vfL/wwA+K6JHb5NCvquSQp6rpjEoJslDW1ssXElyF3nOQ4cAdvuz6lq3kFuPwu8/OVcw/HOWAPy1PVgf+wl/mm28UWzOtAQm7qKTayata7iBazimmb7F4bn9lEHMP6FEAHqvgkkdd8Elrrdrg0XB3XPQdNTNHyg4aaoBQ682grqYTD8WVOZMcGoEXjD16kHLnxX+GUkKsvO88Af/sLN484tRjV8P4BEBe4f/cbU87vawHVcwA2s4oazil1nFfvuKva9dXS9dRwG6+gHG/C8AA03RsNN0HAS1J0YdSdGQ2KEToRQYoSIESJCIBECxPB1AF8jeBrBQwy3vgq3uQG32ba9rTfG15wmjOjc+M771vD933YnXrhxiE9+bRPXD/qIkul3WI3AxUYzGCXAmiHarW/FRvPbsXrRH/ZAHDZc5HsiioNAHQSxgxAOgiRB4CkCe6Mxxq8Da5fMcitJbJJrB9eAg02TGEkGoyTJcD826ySfTDnm3LBxLDYNYsNtux8Njj+f2NeK+ybux70Z/F+aII5NdPnjCTbXzyXbjkneHTeaLUuqDa/3AU3t7zKwn09uifujz2/s+OS10XhCKxv1d/pf2ozQW7nLjNZr2fXY/p3Ayp0mkco68fw1O2Y5KVUzytMmwro71/DTH/g4/uu7B/iO1g5We8+j+c3/gvCJ34aTS4RBXGD1nikJsFeZ7caG+bfa35uy2Hu9yWOT16maf18NW89ptM1Sz21n58IL/PdFdAIi8m8AvBlAR0SeA/CPVPWXb/+FHdMhRFzzN2+4dib2b3G8vwfsPm86zHzjE8BgHw6Aul06jg9cuNsmv+41ybDVe4E777X7rzCvHdu/9UfWCRDH0KiHaHCIqHeIQb+LeHCIuH+IZNBDHMc4dBo4kBb2nRb20MIOGrihTWwlNWyldexHgu4gwV4vxtXdPrqRSaR17ZLniEmQiQgcARwRuCIQARwnTnMlAgAAIABJREFU286dswmj4/rNCI7GumnhL1VFFCv6cYJBnGKQpMfWJW+HI2bWJX8i+eU5ZtuziTHfdUxSzB1Pmh055jhwXRm+nucIHMd8Ptln5dr9/LYjYpfR550/l72Xl3td15FhQ3pWjqzs5rhN5GXlzI67TO6dJ9/zJzr4jz/55qnnklSH359BLvEVJflj5pp+nKAfp+hFCXqRWQ/34wT9yFzTy617UYLuIMZ2d3R9P07HXu80yfjzKIsBw++sXWff1ezY5DXZviPmO+s6DlyBWTsY/uxwEYHr5n7GvoYM44tZ5+N1FofGz+eut681fH37Xs5wH8Py5a9zJss15XfPL57jHFv+RVXNBNdX/z3wsfeNH3NDoHbB3Ixk65U7gXD16PFsnca2p/BVNPZexr37V3HPntmXg2/A6W1DpvRpSZwQvbCNw2DDZN/TGJLGkDQC0gROEsOJYjhqFhcJ3GyNdOqvtK817KGBPa1jH3XsaQMvooFdrWPfHt9DAwfSwMBtYeC1EPktJN4K1K9DXR9wAojrQd0AruvZyoAz/CPr5/6oem7uj72T+0PtTH6Rxv+gT37pzBdl9Md/2hfGdSbOHTlvAsJkcBmrJNg1k3tUqsE+8LkPjMeRRts0vozFFxt3aqtHYs/AbeHzz+9gsL+N1I5ccLrX4fY24R5uIehdRzDYwtpgG3dHm2hET6M1uAFnMD12nEZfffThoQ8fB3Cxgi4COT4h15cQB84Kuu4FHHqr6PurGARriII1xLV1pMEFiOdDnADwfDieD3EDOK4PxwvgeD4cL7TrAJ4f2rUP1w/hegFc34Pj+HBcD46NR8M/2vaPeRYzhL1tiM5svRngl959ebivqtjrx9jaH+D6wQBbBwNsHfTN9r7Zv34wwLX9Pp58aQ/XDwbox7cXhxxBrgevO9brN5i2nUuejc75CLx7Rr2Fc9cGgXvkdaa+h93PV/hvm6pJ7sQ9mwDKGr/6E8cG4/v5hNkwgRaNEmpZ4ihNRomjseujUbItS+YNukBy45hk32B0fTLAsJ9klhzzApsEC+0ItXCUIHNDk1SaPDaWUMsl3Y7se+OJtfx+0jd18v2XzbJn19eeNOtpCTO/YZJdWcLLs50yRABIbo3cPibOyfi5P/3jwMa33P6/h2UmYkZvhi1g7RLqdym+tOHh3z1/MHaZgxR3YQuXnKu4T67i1d4mXrW7ifv2Xsbdz34Ba+n4sysS8eFqhJNIvCbSoIU0WEFqR5XqyivhAHD723CuPQnHjjYTTaa/iONNJL9s4sur50aAZv+OJ/YdNzc605/Y93KN77nEddY473i5c84x152j0Z7zdmxs7tljsamvZ9NqchThqanqu+bywq/5AbPMkqqZYWPnObPs2vXO82b97B8Cey+cqZOGAAjs0syfcAObILtFRxi/YaaBrq8Bq3ZdWwVqa9DaKlI3gJPGJmYl+fpANF4fyNcj8p1O0sTEC69m/o4P1+GUY8esHd92DoJZVJEmMeI4RhxFiOIISRwjiSPEdp2kMZIoRpLGSOMIaZoiTRNoqkjTxI5GS6FpClUdnRseS83os9SsVVP0EaCLOg61jv24hm5cwwFq2Fe7pCG2tYa9NMR+4iNRIE5N0iBOUsR2REliR7stUmP/tOSen2u7y5JnWeIsa6MTW98RmD/DglGjeFbFEZHceXPuNXet4Kff+q0l/sYL6GATePRnpnRwS6Z0jsvt68Q+xH6P7fe5vg7U1uDW11CvraFeX8+dXwcurAH+jDpvZTMppImtozu5U4oo0WGyayz5FaX2mNk2Sex02J6bJTnyCRXHMYnifEIl3/6bT7JP/vvMZO08+fPD4/aaOFVENqke2XKZ5KDZj9PR9mjRse0kVcSpGX0Wp2aUWZzmjiejUWfZddmotCgZjVSLU0UvSpGkydjItTg1I/TiNEWamnWSf30be7K4kx9xWyWek4srudgDHP//L/v/a38IAuCz//N/A3+Gs1dVM8H1+h8ELr1xvPHYC2/rJQXAkQl0st7CNgmWTaHj7l9F8+AamgfXzHVjNzfZTbs7fgM/vInPrvGg4iJOFXHXjPxoHu6g0dvFnf1dSH8PTvQyvMEevGgfXjpRIUrschMDeEjgwY7VQAQPUbZWFxFcDNQcS+EgUQcpBCnMOoFjtx0kECgce8xeo4LI7iscCFITkKBwoGYtCuT2BbA/geH12bk8zfUiyp/JGrcdEwHhmIPmyyKCSAIMnBr6Ukfk1DBwaohcsx279eGSeHXEbgOpV0fi1pD6TYgXwnWdIwm+LAM+meC7VTIwnz2fDO75nkDDTLvAJEFF4bg+XM+b2qMg36tgMuvOROCcXXwt8A+ev62XCAB896s6ADoAHjjZD6Up0LsxGrnQ3TQVFq9mGhc908gYOwEG8NFTF331cag+eqmLnro4TDz04hS9KMVhlNheQAkG/UPgcAvO4Tac3ja83jb8aAfhYAe16AbqyS6ayQ6ah7u40L2Ku3UPq9iHJ7efcDvya6ogtjHHxCwHsY07CVy7dpBObGvuj+W0ytLk8WFbZ3ZmrPHTfn+y1xxuyzDWjF1j13B8pG6I1K0h9WrQbHHrgF8D/DrEs2u/BidowAlqEK8ON6jDCRtwHA+OaxqxXNeDuC4c14O4HlzH7LuuucZxPQifLUS3QURwoebjQs3H/Z3mLa9XVXQHCXZ70bCXYXZDlO+FmG3f7NwgdzNl9pOxc91ubM5P+blBbG5IZvtZ4EjHnGFPPZnosTfZc2/ib3x2c3e0N1wIV8JhD7+sY4/vOvA9GR8F5znwg1GCLj8n/zBRN7x+fIoOP98YcpL6QJqYhrdFjiXZ38C9l0YJsP2XTf08O3b1iVHj4XCuEx1fA0ePTZ77jncxwTVjIoL/7+9+H/Z6EXYPY+z2IrMcxuZYL8buYYSXehGestu7vQjR4R6ah89jrfcCLsYv4iJuoKuh6QiIOg60hn3UsW87Ae7bToIHqCHFyW6WBSkuyCHucA9wh7uPjruPDdlHW/axIXtY6+9jbbCL1RvbWNVvYiXdha8D23kxgYezjlScLRUHKi5UPKgzuTbbyLZllCgTcQDHsfdRdu24dm3OD9ciJlbArrOE3M0Secee80dTkd5q+tJbTXOa70hw3Po009sGK+PPk6uvjz1Tbmw7Oxc0c6OGFjiWkp12xzY23/X66dekifm7svM8sHMF2H3B/Nww0XPCZFB2n5Y1LMd9k1w7vGH+ph3eMPvD7dy6twPcuAL0vggc3oAM9sbbqpwp7U759qix0d72OnFHZZj2XUn6Z0rsORgl9m6P5Oojx2yL/Syj7snLKo7pnFNvjj8PNotj4kCzNeTI9mht4p/ZttOnpTE0TaCJSSRomq0TQPPJkXSUGNEEkiaApojcBvpeCz13BT1vBYdOC113BV2nia4d7bePJvalhT1pYhd19FNvmKxLUh1O4ZY1mCvMYGdFOtzPn4PqqPzQ4RTmlBP3gT/+5JQOJRP74trEbzPXESXXUUXT0Xd8+49H32+9STuK448lw+AGoyR1knWAi8a3p52b7LzjN8y/e78BCZoIgiYCv4GV7PuQnZ+2XavlZsSIgcGUmRsmO9uNnYsAyHh7+ViHt3yHuADHdo7T3Pco/53KT087loScMnWt2uy8pICjABK7nZpznl1rmn3JR++rqe0kENo2uOP+Jtyk44AbDtuXJjvame+qmP4DatrETT8Cu07NOlGFJontNBAjTVIkyQCaJkgTs2ga2+3IHLdxKttO4GLgNhA5dfSdOgZuHX3UEYlnOwSMkn/pWLIPw+QggLFYkh0YTTE56jyQXWe2R8edGdeZqpngWrnLLPPmenN9LwHg2+WWksgMr+/tjKbdyKZFiw6n9tIN7H79uF679mfUBkPVdPjF1zQ1f5RVJ87lvtxpYv812337xz6rEAAOVDCqDACjSkKWCssqCFmKa2KeVfMHONufPD46b46l8NMB/LiHQHsI9eZTxR35iCHoa2ATek5uLaPGdJUp58cTggKFiwSebYZ3kcJDAlfsOndutDaJrbxIXfThjxb10ZvY7yNAHz4G8NDXYHhuAB89BGbRYLSNAD2E6OfOHSKwr2OOJbb6/ObX3jHW259K5DijnsMXX3vsZZ5dGnMujqYJegc7GOzfQBz3kUQRkniAJBogjQdI4vw6gtp9TSJoYo/lpgzTNKvom4qI2DgkmthzMURNTBJ7UyCaQuz+KB5knQlzFXzA9C48plKvilEcsZNCm+N2O98IqmrG4NoKzzCSicLHHkJEqGGAmgwQYoCa3fflFr0RbkOqufhkG/SOqyccHZF8dEISFTERSTwk4iIVF6mY/TRbHLNWuz1qQPOgjo/YdiyIbeeCyGsgduqI3Bpit2GO23OJZ7Zjp4HYrUFso//f+F42MC8aEUEz9NAMy686JrYHX39aAi1OMUiSWybYBkl6tOKu4z33jiyqUyv8qSpi+3OmN9/oZ1KdvDnIvZbtTZiVaR78XE/faYmw7Nxk4m56ks6ZmvQbSwhOJAbdiSSgZ18nS/JNJvuyefQ9R+B7DnzHJAA9J0Dg3Q+v/Sr4dxzt0bzI02WQ6dC11giw1jhbE2iWYM964MZpiihWRGmKONc7N+vdOzpmr8314s3ODRL7GsloWqAoSdGNFTtpiicTRRSPn8sS7PlRAEkcIU1MQ47mRlhqEsEVU9f3bF3fQwLfduVxoXCG9wajewYHCs/+Vc/uH8z5dHTM7nvDe4ij9xZ+ds8huXuN3M+YO7IEWdeiYadDyeo3uQ6L2SIKF2o6BSCFJ+O/27A8SOAihqspXMRwTvn8xBSuqXc443UPndx2PKROYDsYrSP1QqRhCPUCpI7pdKReCLUNUWbbNjD5NagbwnE9+NEuwugG/MEO/P4NeIMdeP1tuN1tONvPwjnchvRuTJ3ZZappU+flp88bm0rPnnvj3wYe/B9O/+Wg2XNcMy3hhVcA93337F7XC+1Uu3ec/mezhG6WLJ5XIjWJ7bTLuVGOY0mwwcSo0slRp/l/+9NGnua+D8OEuZzt94n7Zjrc/p5ZD/btVLX7N98fHJiR7mkCaARoau8zR+vxhu0pS9aK60z7PV3Tjigu4ASAU8t9RrnrxDFl6e0AvSvAnk1s3mqkn1c3Hf2zEX6BHTEdrIyeiTtcr4zWk9cELY7+Pc7qPcD/9KX5vHaaAoO98aT24fZEont7tJ1knZpP2HlkuJ8dc0bflcGBSQ7nt7tb5nsRdc33YrCPU3UKmTSZtMpmeIBO6bAyuI0pzc9g8m/yiZdcxx5NjnYQuFnC8jTFgxl0c8yTq4vheLlnajdH2/mkZ3bOr5l4dNq168/tb1j5rRR0Mq4/auCeMZlYnxtpagJ1FsSjrkkG5gN7FsijA7jRIRrRYS55l4wn9dIUqjE01WHvHHMsySUBY3MLmOs9aRqCTUPxaO1hIC56WQMyzDoRFwoXmkSQxARNSfqQuAcv6SOI+1hJ+3CSgV36cNJduGkfbjIw63QAL+3DOWY6zFtJxEPshLja/zMAfm22/0/oXBDHRW1lA7WV2cejqsge2hxnS64hLU4Ue0mK7ayhLYqQRl0k/UOkg0NoZNex2UZkbyDTUUIPOr6NNDX7OuqxNDynqUn0pYlpiso9WNr0BMryc5rNJjLeyy93fZY4dDW206DYqXbTGK6aBitHY3iawMEhXI1tY5Y5FiDGmvRRRx8N9E890u9QA+yhCXzvM3P4v0bnhUmWmOebnhdqE2FZIm7sgdTJ5LHx68Yb8rNG/BSDXCO8aZiflhTITdNhE3X9KD2S5JuWpBv9zGg6jlFir9jPL5tuEsBwhO7kCN4jU2TkRvWKncLnV//778YbLq0XWna6tSzBXiX5esIwsWa/e9nf3mFv1uzvMkZ/u/Od+yY75qQ3+dk093PjdQEdtslmifcsURfZekxWxmgikTc8n/tdJqf7yo5l21Fi4kGUKpLYTOef5hq3NI2RpikGqYOBehiog7666KeCVJ1hDCpGNrPC8QQpLqCLNTGj/DrOAdadA2w4+2iKue9yNB2tE5OENAnCUYIyu2a4n51/VvHWB4v5bamCXG806rGI9wluPbK/dNkoiTm0j5Uq6tmk185oNF9+ZN/YMbu/81wumbd38gZ3vwm86nuBH/71+f5ONOI4durRVQCvLLs0R6madoks2RV1TSJn+BzfKVORZ0mssyTfs6kUTzISLEuUD5PFuY4ktzw+x2RuEh+d/nj4jOYpo2WzJPq0GSVuusZoPZzCeuJ3H+tA4x1/LIlyif+D0fYwAZo/fmBGNef3B/s4MkrwpMQZJbz+7hO3PRtfXrXuFIhOw3FGzwCYETuAtBqSyCb1ekBsG9Gjrgms0eFond+Oe3CjLtyoh/s6ry77NyBaWGJHOXjnp319JrLGqGwEXJQMhhUlHXQhURc6OIBEB2Y96I51RPCiLtbT+Y14I1pUIjIcldQ8B7PF5Bv3sxFrk/Paj897bxrNB8n4iJysAX3seKq2AX6U7MvmvB9OkzE2JcbRKTKy0f+j+0Wz0T4PHz4thHw94Twl44uWxZLEfo+H2ymG8SR7hkWSKtLccdVRzElTk9hL1MSeLBGfjz/DpF1u+q94ogPBeCIvRS9RdFXHEujTjE2fnbubzI5/32suzukTJKJK8WtmWbnzbD+vajt179vRbXbd3584Zvcv3DPb8lO1iQB+3SzNdjHvl01ZWFWuB7izbXeuhCQ60pZ803V0OGqXzo65tz+5bR4TXETnlesDbtY7hIho/lxnYkywVwfCOoACKshEtDDYCYCIZmEYS8ouCBFRFYgAQcMsZ5kOk4joJIaJyQtll2SIk64SERERERERERERERFRpTDBRURERERERERERERERJXCBBcRERERERERERERERFVytwTXCLyVhF5UkSeFpH3zvv9iIiIiIiIiIiIiIiI6Hyba4JLRFwAvwjgzwN4HYB3icjr5vmeREREREREREREREREdL7NewTXgwCeVtVvqOoAwK8BeMec35OIiKNHiYiIiIiIiIiIiM6xeSe47gFwJbf/nD02JCIPi8hjIvLYtWvX5lwcIloGHD1KREREREREREREdL7NO8ElU47p2I7qI6p6WVUvX7x4cc7FIaIlwdGjREREREREREREROeYN+fXfw7Afbn9ewG8cNzFn/3sZzdF5NkTvnYHwOZtlK0oLOfsVKGMwHKW85Uzep1ZmTZ69E9NXiQiDwN42O7ui8iTJ3z9Kvw/rkIZAZZzlqpQRuB8x55TY92nNFUoI1CNclahjABjzxjGntJUoYwAyzlLsy7jMsWfKvz/BVjOWapCGYHlLOcyxR6gGv+Pq1BGgOWcpSqUESgh9sw7wfVHAB4QkVcBeB7AOwH88HEXq+qJh3CJyGOqevn2izhfLOfsVKGMAMu5IG45ehQwI0gBPHLqF6/AZ1eFMgIs5yxVoYxAdcpZFNZ9ylGFMgLVKGcVyghUp5xFYewpRxXKCLCcs1SFMhbtpPGnKp8dyzk7VSgjwHJW1Xmr+1ShjADLOUtVKCNQTjnnmuBS1VhE/g6AjwFwAfyKqn55nu9JRIRTjh4lIiIiIiIiIiIiomqZ9wguqOpHAXx03u9DRJRzqtGjRERERERERERERFQtc09wzdGppxUrCcs5O1UoI8Bylq6A0aNV+OyqUEaA5ZylKpQRqE45F1FVPrsqlLMKZQSqUc4qlBGoTjkXUVU+uyqUswplBFjOWapCGRdVVT47lnN2qlBGgOVcBlX47KpQRoDlnKUqlBEooZyieuSxNEREREREREREREREREQLyym7AERERERERERERERERESnwQQXERERERERERERERERVcrCJ7hE5K0i8qSIPC0i751yPhSRX7fnPy0i95dQxvtE5OMi8oSIfFlE3jPlmjeLyI6IPG6Xnym6nLYcz4jIF20ZHptyXkTk5+3n+QUR+a6Cy/fa3Gf0uIjsishPTFxTymcpIr8iIldF5Eu5Yxsi8qiIPGXX68f87LvtNU+JyLtLKOf/KSJftf9Pf1NE1o752Zv++1gmjD0zLytjz9nLxtizZBY9/jD2zLyMjD+zLyNjzxkseuyxZahE/GHsue2yMfYsEcaemZd1oeMPY8/cysn4c0qMPTMvK2PP2cvG2HO7VHVhFwAugK8D+BYAAYDPA3jdxDV/G8A/t9vvBPDrJZTzbgDfZbdXAHxtSjnfDOC3F+AzfQZA5ybnHwLwOwAEwBsBfLrk//8vAXjlInyWAP4MgO8C8KXcsf8DwHvt9nsB/OyUn9sA8A27Xrfb6wWX8wcAeHb7Z6eV8yT/PpZlYeyZS1kZe85eHsaeJVqqEH8Ye+b+/5/x5/bLyNhz+s9x4WOPfd9KxB/GntsuD2PPkiyMPXMpa2XiD2PPTMvJ+HO6z5CxZ/ZlZew5e3kYe25zWfQRXA8CeFpVv6GqAwC/BuAdE9e8A8C/stsfAvBnRUQKLCNU9UVV/Zzd3gPwBIB7iizDDL0DwAfU+M8A1kTk7pLK8mcBfF1Vny3p/ceo6icBbE0czv/7+1cA/uKUH/1zAB5V1S1V3QbwKIC3FllOVf1dVY3t7n8GcO+83v+cYOwpHmPPMRh7ls7Cxx/Gnrli/JlBGRl7zmThYw9wruIPY89NMPYsFcae4i1S/GHsmVE5GX9OjbGneIw9x2DsuX2LnuC6B8CV3P5zOPpFHl5jP9AdAO1CSjeFHbL6BgCfnnL6T4vI50Xkd0TkTxZasBEF8Lsi8lkReXjK+ZN85kV5J4B/c8y5RfgsAeBOVX0RMH94ANwx5ZpF+kwB4Mdgek1Mc6t/H8uCsWf2GHtmi7Hn/KpU/GHsmTnGn9lj7DmZSsUeYOHjD2PP7DH2nE+MPbNXpfjD2DMfjD+3xtgze4w9s8XYcwrerF9wxqZlxvUM1xRCRFoAPgzgJ1R1d+L052CGPu6LyEMAfgvAA0WXEcCbVPUFEbkDwKMi8lWbgc0sxOcpIgGAtwN435TTi/JZntRCfKYAICL/EEAM4IPHXHKrfx/LgrFn9hh7ircQnynA2HNKlYk/jD2zxfgzh0Iw9pxGZWIPUIn4w9hTjoX4XBl7ToWxZ/YqEX8Ye+aD8efEGHtmj7GneAvxmQLlx55FH8H1HID7cvv3AnjhuGtExAOwiqPD+uZORHyYYPNBVf2NyfOququq+3b7owB8EekUXEyo6gt2fRXAb8IMy807yWdehD8P4HOq+vLkiUX5LK2XsyG1dn11yjUL8ZmKedjg2wD8VVWdGvBO8O9jWTD2zBhjz8wx9pxflYg/jD1zwfgzQ4w9p1aJ2GPfe+HjD2PPXDD2nE+MPTNWofjD2DNjjD+nwtgzY4w9M8fYcwqLnuD6IwAPiMirbIb1nQA+MnHNRwC8227/JQD/8bgPc15ERAD8MoAnVPXnjrnmLnsdRORBmM/+enGlBESkKSIr2TbMg+C+NHHZRwD8d2K8EcCO2iGRBXsXjhkuugifZU7+39+7Afy/U675GIAfEJF1EVmH+dw/VlD5AAAi8lYAPw3g7araPeaak/z7WBaMPTPE2DMXjD3n18LHH8aeuWH8mRHGnjNZ+NgDVCP+MPbMDWPP+cTYM0MViz+MPTPE+HNqjD0zxNgzF4w9p6GqC70AeAjA1wB8HcA/tMf+F/vBAUANwL8F8DSAzwD4lhLK+F/BDAH8AoDH7fIQgL8J4G/aa/4OgC8D+DzMQ9e+p4Ryfot9/8/bsmSfZ76cAuAX7ef9RQCXSyhnAyaArOaOlf5ZwgTAFwFEMFnyvw4z/+7vAXjKrjfstZcB/FLuZ3/M/ht9GsCPllDOp2HmZc3+ff5ze+0rAHz0Zv8+lnVh7JlpORl7bq9cjD1Ltix6/GHsmUtZGX9mW0bGnrN9lgsde2wZFj7+MPbMpFyMPUu0MPbMtJyViD+MPXMpJ+PP6T9Hxp7ZlZOx5/bKxdhzm4vYNyIiIiIiIiIiIiIiIiKqhEWfopCIiIiIiIiIiIiIiIhoDBNcREREREREREREREREVClMcBEREREREREREREREVGlMMFFRERERERERERERERElcIEFxEREREREREREREREVUKE1x0KiKSiMjjueW9M3zt+0XkS7N6PSI6Xxh/iKgMjD1EVAbGHiIqA2MPEZWF8YfOyiu7AFQ5h6r6nWUXgoiWEuMPEZWBsYeIysDYQ0RlYOwhorIw/tCZcAQXzYSIPCMiPysin7HLq+3xV4rI74nIF+z6kj1+p4j8poh83i7fY1/KFZH/R0S+LCK/KyL10n4pIqoExh8iKgNjDxGVgbGHiMrA2ENEZWH8oVthgotOqz4xXPSv5M7tquqDAH4BwD+zx34BwAdU9dsBfBDAz9vjPw/g91X1OwB8F4Av2+MPAPhFVf2TAG4A+KE5/z5EVB2MP0RUBsYeIioDYw8RlYGxh4jKwvhDZyKqWnYZqEJEZF9VW1OOPwPgLar6DRHxAbykqm0R2QRwt6pG9viLqtoRkWsA7lXVfu417gfwqKo+YPd/GoCvqv/b/H8zIlp0jD9EVAbGHiIqA2MPEZWBsYeIysL4Q2fFEVw0S3rM9nHXTNPPbSfgc+KI6GQYf4ioDIw9RFQGxh4iKgNjDxGVhfGHjsUEF83SX8mt/9Bu/wGAd9rtvwrgU3b79wD8LQAQEVdELhRVSCI6lxh/iKgMjD1EVAbGHiIqA2MPEZWF8YeOxUwlnVZdRB7P7f8HVX2v3Q5F5NMwidN32WP/I4BfEZG/D+AagB+1x98D4BER+eswWfO/BeDFuZeeiKqM8YeIysDYQ0RlYOwhojIw9hBRWRh/6Ez4DC6aCTsf6mVV3Sy7LES0XBh/iKgMjD1EVAbGHiIqA2MPEZWF8YduhVMUEhERERERERERERERUaVwBBcRERERERERERERERFVCkdwERERERERERERERERUaUwwUVEREREREREREQCARxhAAAAO0lEQVRERESVwgQXERERERERERERERERVQoTXERERERERERERERERFQpTHARERERERERERERERFRpfz/o4s/uKO73cEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1728x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(dfh, [f\"{p}/{task}_loss\"\n",
    "                for task in tasks\n",
    "                for p in ['counts']\n",
    "               ], figsize=(len(tasks)*4, 4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": 0.222673,
     "end_time": "2019-05-28T12:08:51.516874",
     "exception": false,
     "start_time": "2019-05-28T12:08:51.294201",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "papermill": {
     "duration": 1.449741,
     "end_time": "2019-05-28T12:08:53.953006",
     "exception": false,
     "start_time": "2019-05-28T12:08:52.503265",
     "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": 25.182777,
     "end_time": "2019-05-28T12:09:19.444674",
     "exception": false,
     "start_time": "2019-05-28T12:08:54.261897",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  0%|          | 0/928 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  0%|          | 1/928 [00:00<06:48,  2.27it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  1%|          | 11/928 [00:00<04:49,  3.16it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  2%|▏         | 20/928 [00:00<03:24,  4.43it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  2%|▏         | 23/928 [00:01<02:39,  5.68it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  3%|▎         | 31/928 [00:01<01:55,  7.74it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  4%|▍         | 36/928 [00:01<01:26, 10.35it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  4%|▍         | 41/928 [00:01<01:06, 13.32it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  5%|▌         | 47/928 [00:01<00:51, 17.01it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
      "  6%|▌         | 52/928 [00:01<00:44, 19.90it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\r",
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    {
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     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "valid = dl_valid.load_all(num_workers=num_workers)\n",
    "y_true = valid[\"targets\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "papermill": {
     "duration": 0.709789,
     "end_time": "2019-05-28T12:09:20.404618",
     "exception": false,
     "start_time": "2019-05-28T12:09:19.694829",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from basepair.BPNet import BiasModel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "papermill": {
     "duration": 0.205072,
     "end_time": "2019-05-28T12:09:20.857813",
     "exception": false,
     "start_time": "2019-05-28T12:09:20.652741",
     "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": 245.068969,
     "end_time": "2019-05-28T12:13:26.134332",
     "exception": false,
     "start_time": "2019-05-28T12:09:21.065363",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
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      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "  608/29682 [..............................] - ETA: 4:28"
     ]
    },
    {
     "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",
      "  640/29682 [..............................] - ETA: 4:25"
     ]
    },
    {
     "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",
      "  672/29682 [..............................] - ETA: 4:23"
     ]
    },
    {
     "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",
      "  704/29682 [..............................] - ETA: 4:21"
     ]
    },
    {
     "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",
      "  736/29682 [..............................] - ETA: 4:21"
     ]
    },
    {
     "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",
      "  768/29682 [..............................] - ETA: 4:20"
     ]
    },
    {
     "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",
      "  800/29682 [..............................] - ETA: 4:18"
     ]
    },
    {
     "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",
      "  832/29682 [..............................] - ETA: 4:16"
     ]
    },
    {
     "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",
      "  864/29682 [..............................] - ETA: 4:14"
     ]
    },
    {
     "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",
      "  896/29682 [..............................] - ETA: 4:13"
     ]
    },
    {
     "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",
      "  928/29682 [..............................] - ETA: 4:11"
     ]
    },
    {
     "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",
      "  960/29682 [..............................] - ETA: 4:10"
     ]
    },
    {
     "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",
      "  992/29682 [>.............................] - ETA: 4:07"
     ]
    },
    {
     "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",
      " 1024/29682 [>.............................] - ETA: 4:06"
     ]
    },
    {
     "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",
      " 1056/29682 [>.............................] - ETA: 4:06"
     ]
    },
    {
     "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",
      " 1088/29682 [>.............................] - ETA: 4:06"
     ]
    },
    {
     "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",
      " 1120/29682 [>.............................] - ETA: 4:06"
     ]
    },
    {
     "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",
      " 1152/29682 [>.............................] - ETA: 4:05"
     ]
    },
    {
     "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",
      " 1184/29682 [>.............................] - ETA: 4:03"
     ]
    },
    {
     "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",
      " 1216/29682 [>.............................] - ETA: 4:02"
     ]
    },
    {
     "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",
      " 1248/29682 [>.............................] - ETA: 4:01"
     ]
    },
    {
     "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",
      " 1280/29682 [>.............................] - ETA: 4:01"
     ]
    },
    {
     "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",
      " 1312/29682 [>.............................] - ETA: 3:59"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1344/29682 [>.............................] - ETA: 3:58"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1376/29682 [>.............................] - ETA: 3:58"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1408/29682 [>.............................] - ETA: 3:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1440/29682 [>.............................] - ETA: 3:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1472/29682 [>.............................] - ETA: 3:56"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1504/29682 [>.............................] - ETA: 3:55"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1536/29682 [>.............................] - ETA: 3:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1568/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1600/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1632/29682 [>.............................] - ETA: 3:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1664/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1696/29682 [>.............................] - ETA: 3:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1728/29682 [>.............................] - ETA: 3:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1760/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1792/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1824/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1856/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1888/29682 [>.............................] - ETA: 3:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1920/29682 [>.............................] - ETA: 3:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1952/29682 [>.............................] - ETA: 3:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 1984/29682 [=>............................] - ETA: 3:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2016/29682 [=>............................] - ETA: 3:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2048/29682 [=>............................] - ETA: 3:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2080/29682 [=>............................] - ETA: 3:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2112/29682 [=>............................] - ETA: 3:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2144/29682 [=>............................] - ETA: 3:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2176/29682 [=>............................] - ETA: 3:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2208/29682 [=>............................] - ETA: 3:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2240/29682 [=>............................] - ETA: 3:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2272/29682 [=>............................] - ETA: 3:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2304/29682 [=>............................] - ETA: 3:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2336/29682 [=>............................] - ETA: 3:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2368/29682 [=>............................] - ETA: 3:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2400/29682 [=>............................] - ETA: 3:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2432/29682 [=>............................] - ETA: 3:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2464/29682 [=>............................] - ETA: 3:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2496/29682 [=>............................] - ETA: 3:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2528/29682 [=>............................] - ETA: 3:43"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2560/29682 [=>............................] - ETA: 3:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2592/29682 [=>............................] - ETA: 3:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2624/29682 [=>............................] - ETA: 3:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2656/29682 [=>............................] - ETA: 3:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2688/29682 [=>............................] - ETA: 3:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2720/29682 [=>............................] - ETA: 3:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2752/29682 [=>............................] - ETA: 3:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2784/29682 [=>............................] - ETA: 3:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2816/29682 [=>............................] - ETA: 3:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2848/29682 [=>............................] - ETA: 3:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2880/29682 [=>............................] - ETA: 3:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2912/29682 [=>............................] - ETA: 3:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2944/29682 [=>............................] - ETA: 3:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 2976/29682 [==>...........................] - ETA: 3:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3008/29682 [==>...........................] - ETA: 3:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3040/29682 [==>...........................] - ETA: 3:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3072/29682 [==>...........................] - ETA: 3:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3104/29682 [==>...........................] - ETA: 3:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3136/29682 [==>...........................] - ETA: 3:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3168/29682 [==>...........................] - ETA: 3:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3200/29682 [==>...........................] - ETA: 3:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3232/29682 [==>...........................] - ETA: 3:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3264/29682 [==>...........................] - ETA: 3:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3296/29682 [==>...........................] - ETA: 3:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3328/29682 [==>...........................] - ETA: 3:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3360/29682 [==>...........................] - ETA: 3:35"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3392/29682 [==>...........................] - ETA: 3:35"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3424/29682 [==>...........................] - ETA: 3:35"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3456/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3488/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3520/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3552/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3584/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3616/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3648/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3680/29682 [==>...........................] - ETA: 3:34"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3712/29682 [==>...........................] - ETA: 3:33"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3744/29682 [==>...........................] - ETA: 3:33"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3776/29682 [==>...........................] - ETA: 3:33"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3808/29682 [==>...........................] - ETA: 3:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3840/29682 [==>...........................] - ETA: 3:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3872/29682 [==>...........................] - ETA: 3:32"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3904/29682 [==>...........................] - ETA: 3:31"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3936/29682 [==>...........................] - ETA: 3:31"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 3968/29682 [===>..........................] - ETA: 3:31"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4000/29682 [===>..........................] - ETA: 3:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4032/29682 [===>..........................] - ETA: 3:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4064/29682 [===>..........................] - ETA: 3:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4096/29682 [===>..........................] - ETA: 3:30"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4128/29682 [===>..........................] - ETA: 3:29"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4160/29682 [===>..........................] - ETA: 3:29"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4192/29682 [===>..........................] - ETA: 3:29"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4224/29682 [===>..........................] - ETA: 3:29"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 4256/29682 [===>..........................] - ETA: 3:28"
     ]
    },
    {
     "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",
      " 4288/29682 [===>..........................] - ETA: 3:28"
     ]
    },
    {
     "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",
      " 4320/29682 [===>..........................] - ETA: 3:28"
     ]
    },
    {
     "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",
      " 4352/29682 [===>..........................] - ETA: 3:27"
     ]
    },
    {
     "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",
      " 4384/29682 [===>..........................] - ETA: 3:27"
     ]
    },
    {
     "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",
      " 4416/29682 [===>..........................] - ETA: 3:27"
     ]
    },
    {
     "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",
      " 4448/29682 [===>..........................] - ETA: 3:27"
     ]
    },
    {
     "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",
      " 4480/29682 [===>..........................] - ETA: 3:26"
     ]
    },
    {
     "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",
      " 4512/29682 [===>..........................] - ETA: 3:26"
     ]
    },
    {
     "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",
      " 4544/29682 [===>..........................] - ETA: 3:26"
     ]
    },
    {
     "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",
      " 4576/29682 [===>..........................] - ETA: 3:25"
     ]
    },
    {
     "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",
      " 4608/29682 [===>..........................] - ETA: 3:25"
     ]
    },
    {
     "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",
      " 4640/29682 [===>..........................] - ETA: 3:25"
     ]
    },
    {
     "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",
      " 4672/29682 [===>..........................] - ETA: 3:25"
     ]
    },
    {
     "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",
      " 4704/29682 [===>..........................] - ETA: 3:24"
     ]
    },
    {
     "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",
      " 4736/29682 [===>..........................] - ETA: 3:24"
     ]
    },
    {
     "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",
      " 4768/29682 [===>..........................] - ETA: 3:24"
     ]
    },
    {
     "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",
      " 4800/29682 [===>..........................] - ETA: 3:24"
     ]
    },
    {
     "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",
      " 4832/29682 [===>..........................] - ETA: 3:24"
     ]
    },
    {
     "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",
      " 4864/29682 [===>..........................] - ETA: 3:24"
     ]
    },
    {
     "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",
      " 4896/29682 [===>..........................] - ETA: 3:23"
     ]
    },
    {
     "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",
      " 4928/29682 [===>..........................] - ETA: 3:23"
     ]
    },
    {
     "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",
      " 4960/29682 [====>.........................] - ETA: 3:23"
     ]
    },
    {
     "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",
      " 4992/29682 [====>.........................] - ETA: 3:23"
     ]
    },
    {
     "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",
      " 5024/29682 [====>.........................] - ETA: 3:22"
     ]
    },
    {
     "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",
      " 5056/29682 [====>.........................] - ETA: 3:22"
     ]
    },
    {
     "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",
      " 5088/29682 [====>.........................] - ETA: 3:22"
     ]
    },
    {
     "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",
      " 5120/29682 [====>.........................] - ETA: 3:22"
     ]
    },
    {
     "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",
      " 5152/29682 [====>.........................] - ETA: 3:21"
     ]
    },
    {
     "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",
      " 5184/29682 [====>.........................] - ETA: 3:21"
     ]
    },
    {
     "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",
      " 5216/29682 [====>.........................] - ETA: 3:21"
     ]
    },
    {
     "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",
      " 5248/29682 [====>.........................] - ETA: 3:21"
     ]
    },
    {
     "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",
      " 5280/29682 [====>.........................] - ETA: 3:20"
     ]
    },
    {
     "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",
      " 5312/29682 [====>.........................] - ETA: 3:20"
     ]
    },
    {
     "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",
      " 5344/29682 [====>.........................] - ETA: 3:20"
     ]
    },
    {
     "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",
      " 5376/29682 [====>.........................] - ETA: 3:20"
     ]
    },
    {
     "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",
      " 5408/29682 [====>.........................] - ETA: 3:19"
     ]
    },
    {
     "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",
      " 5440/29682 [====>.........................] - ETA: 3:19"
     ]
    },
    {
     "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",
      " 5472/29682 [====>.........................] - ETA: 3:19"
     ]
    },
    {
     "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",
      " 5504/29682 [====>.........................] - ETA: 3:18"
     ]
    },
    {
     "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",
      " 5536/29682 [====>.........................] - ETA: 3:18"
     ]
    },
    {
     "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",
      " 5568/29682 [====>.........................] - ETA: 3:18"
     ]
    },
    {
     "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",
      " 5600/29682 [====>.........................] - ETA: 3:17"
     ]
    },
    {
     "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",
      " 5632/29682 [====>.........................] - ETA: 3:17"
     ]
    },
    {
     "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",
      " 5664/29682 [====>.........................] - ETA: 3:17"
     ]
    },
    {
     "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",
      " 5696/29682 [====>.........................] - ETA: 3:16"
     ]
    },
    {
     "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",
      " 5728/29682 [====>.........................] - ETA: 3:16"
     ]
    },
    {
     "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",
      " 5760/29682 [====>.........................] - ETA: 3:16"
     ]
    },
    {
     "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",
      " 5792/29682 [====>.........................] - ETA: 3:16"
     ]
    },
    {
     "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",
      " 5824/29682 [====>.........................] - ETA: 3:15"
     ]
    },
    {
     "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",
      " 5856/29682 [====>.........................] - ETA: 3:15"
     ]
    },
    {
     "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",
      " 5888/29682 [====>.........................] - ETA: 3:15"
     ]
    },
    {
     "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",
      " 5920/29682 [====>.........................] - ETA: 3:15"
     ]
    },
    {
     "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",
      " 5952/29682 [=====>........................] - ETA: 3:15"
     ]
    },
    {
     "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",
      " 5984/29682 [=====>........................] - ETA: 3:15"
     ]
    },
    {
     "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",
      " 6016/29682 [=====>........................] - ETA: 3:14"
     ]
    },
    {
     "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",
      " 6048/29682 [=====>........................] - ETA: 3:14"
     ]
    },
    {
     "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",
      " 6080/29682 [=====>........................] - ETA: 3:14"
     ]
    },
    {
     "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",
      " 6112/29682 [=====>........................] - ETA: 3:14"
     ]
    },
    {
     "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",
      " 6144/29682 [=====>........................] - ETA: 3:13"
     ]
    },
    {
     "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",
      " 6176/29682 [=====>........................] - ETA: 3:13"
     ]
    },
    {
     "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",
      " 6208/29682 [=====>........................] - ETA: 3:13"
     ]
    },
    {
     "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",
      " 6240/29682 [=====>........................] - ETA: 3:12"
     ]
    },
    {
     "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",
      " 6272/29682 [=====>........................] - ETA: 3:12"
     ]
    },
    {
     "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",
      " 6304/29682 [=====>........................] - ETA: 3:12"
     ]
    },
    {
     "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",
      " 6336/29682 [=====>........................] - ETA: 3:11"
     ]
    },
    {
     "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",
      " 6368/29682 [=====>........................] - ETA: 3:11"
     ]
    },
    {
     "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",
      " 6400/29682 [=====>........................] - ETA: 3:11"
     ]
    },
    {
     "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",
      " 6432/29682 [=====>........................] - ETA: 3:11"
     ]
    },
    {
     "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",
      " 6464/29682 [=====>........................] - ETA: 3:10"
     ]
    },
    {
     "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",
      " 6496/29682 [=====>........................] - ETA: 3:10"
     ]
    },
    {
     "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",
      " 6528/29682 [=====>........................] - ETA: 3:10"
     ]
    },
    {
     "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",
      " 6560/29682 [=====>........................] - ETA: 3:09"
     ]
    },
    {
     "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",
      " 6592/29682 [=====>........................] - ETA: 3:09"
     ]
    },
    {
     "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",
      " 6624/29682 [=====>........................] - ETA: 3:09"
     ]
    },
    {
     "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",
      " 6656/29682 [=====>........................] - ETA: 3:08"
     ]
    },
    {
     "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",
      " 6688/29682 [=====>........................] - ETA: 3:08"
     ]
    },
    {
     "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",
      " 6720/29682 [=====>........................] - ETA: 3:08"
     ]
    },
    {
     "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",
      " 6752/29682 [=====>........................] - ETA: 3:08"
     ]
    },
    {
     "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",
      " 6784/29682 [=====>........................] - ETA: 3:07"
     ]
    },
    {
     "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",
      " 6816/29682 [=====>........................] - ETA: 3:07"
     ]
    },
    {
     "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",
      " 6848/29682 [=====>........................] - ETA: 3:07"
     ]
    },
    {
     "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",
      " 6880/29682 [=====>........................] - ETA: 3:07"
     ]
    },
    {
     "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",
      " 6912/29682 [=====>........................] - ETA: 3:06"
     ]
    },
    {
     "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",
      " 6944/29682 [======>.......................] - ETA: 3:06"
     ]
    },
    {
     "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",
      " 6976/29682 [======>.......................] - ETA: 3:06"
     ]
    },
    {
     "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",
      " 7008/29682 [======>.......................] - ETA: 3:06"
     ]
    },
    {
     "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",
      " 7040/29682 [======>.......................] - ETA: 3:06"
     ]
    },
    {
     "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",
      " 7072/29682 [======>.......................] - ETA: 3:05"
     ]
    },
    {
     "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",
      " 7104/29682 [======>.......................] - ETA: 3:05"
     ]
    },
    {
     "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",
      " 7136/29682 [======>.......................] - ETA: 3:05"
     ]
    },
    {
     "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",
      " 7168/29682 [======>.......................] - ETA: 3:05"
     ]
    },
    {
     "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",
      " 7200/29682 [======>.......................] - ETA: 3:04"
     ]
    },
    {
     "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",
      " 7232/29682 [======>.......................] - ETA: 3:04"
     ]
    },
    {
     "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",
      " 7264/29682 [======>.......................] - ETA: 3:04"
     ]
    },
    {
     "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",
      " 7296/29682 [======>.......................] - ETA: 3:04"
     ]
    },
    {
     "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",
      " 7328/29682 [======>.......................] - ETA: 3:03"
     ]
    },
    {
     "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",
      " 7360/29682 [======>.......................] - ETA: 3:03"
     ]
    },
    {
     "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",
      " 7392/29682 [======>.......................] - ETA: 3:03"
     ]
    },
    {
     "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",
      " 7424/29682 [======>.......................] - ETA: 3:02"
     ]
    },
    {
     "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",
      " 7456/29682 [======>.......................] - ETA: 3:02"
     ]
    },
    {
     "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",
      " 7488/29682 [======>.......................] - ETA: 3:02"
     ]
    },
    {
     "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",
      " 7520/29682 [======>.......................] - ETA: 3:02"
     ]
    },
    {
     "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",
      " 7552/29682 [======>.......................] - ETA: 3:01"
     ]
    },
    {
     "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",
      " 7584/29682 [======>.......................] - ETA: 3:01"
     ]
    },
    {
     "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",
      " 7616/29682 [======>.......................] - ETA: 3:01"
     ]
    },
    {
     "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",
      " 7648/29682 [======>.......................] - ETA: 3:01"
     ]
    },
    {
     "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",
      " 7680/29682 [======>.......................] - ETA: 3:00"
     ]
    },
    {
     "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",
      " 7712/29682 [======>.......................] - ETA: 3:00"
     ]
    },
    {
     "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",
      " 7744/29682 [======>.......................] - ETA: 3:00"
     ]
    },
    {
     "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",
      " 7776/29682 [======>.......................] - ETA: 2:59"
     ]
    },
    {
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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",
      " 7808/29682 [======>.......................] - ETA: 2:59"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7840/29682 [======>.......................] - ETA: 2:59"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7872/29682 [======>.......................] - ETA: 2:59"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7904/29682 [======>.......................] - ETA: 2:58"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7936/29682 [=======>......................] - ETA: 2:58"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 7968/29682 [=======>......................] - ETA: 2:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8000/29682 [=======>......................] - ETA: 2:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8032/29682 [=======>......................] - ETA: 2:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8064/29682 [=======>......................] - ETA: 2:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8096/29682 [=======>......................] - ETA: 2:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8128/29682 [=======>......................] - ETA: 2:57"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8160/29682 [=======>......................] - ETA: 2:56"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8192/29682 [=======>......................] - ETA: 2:56"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8224/29682 [=======>......................] - ETA: 2:56"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8256/29682 [=======>......................] - ETA: 2:56"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8288/29682 [=======>......................] - ETA: 2:55"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8320/29682 [=======>......................] - ETA: 2:55"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8352/29682 [=======>......................] - ETA: 2:55"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8384/29682 [=======>......................] - ETA: 2:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8416/29682 [=======>......................] - ETA: 2:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8448/29682 [=======>......................] - ETA: 2:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8480/29682 [=======>......................] - ETA: 2:54"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8512/29682 [=======>......................] - ETA: 2:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8544/29682 [=======>......................] - ETA: 2:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8576/29682 [=======>......................] - ETA: 2:53"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8608/29682 [=======>......................] - ETA: 2:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8640/29682 [=======>......................] - ETA: 2:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8672/29682 [=======>......................] - ETA: 2:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8704/29682 [=======>......................] - ETA: 2:52"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8736/29682 [=======>......................] - ETA: 2:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8768/29682 [=======>......................] - ETA: 2:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8800/29682 [=======>......................] - ETA: 2:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8832/29682 [=======>......................] - ETA: 2:51"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8864/29682 [=======>......................] - ETA: 2:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8896/29682 [=======>......................] - ETA: 2:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8928/29682 [========>.....................] - ETA: 2:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8960/29682 [========>.....................] - ETA: 2:50"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 8992/29682 [========>.....................] - ETA: 2:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9024/29682 [========>.....................] - ETA: 2:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9056/29682 [========>.....................] - ETA: 2:49"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9088/29682 [========>.....................] - ETA: 2:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9120/29682 [========>.....................] - ETA: 2:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9152/29682 [========>.....................] - ETA: 2:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9184/29682 [========>.....................] - ETA: 2:48"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9216/29682 [========>.....................] - ETA: 2:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9248/29682 [========>.....................] - ETA: 2:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9280/29682 [========>.....................] - ETA: 2:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9312/29682 [========>.....................] - ETA: 2:47"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9344/29682 [========>.....................] - ETA: 2:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9376/29682 [========>.....................] - ETA: 2:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9408/29682 [========>.....................] - ETA: 2:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9440/29682 [========>.....................] - ETA: 2:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9472/29682 [========>.....................] - ETA: 2:46"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9504/29682 [========>.....................] - ETA: 2:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9536/29682 [========>.....................] - ETA: 2:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9568/29682 [========>.....................] - ETA: 2:45"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9600/29682 [========>.....................] - ETA: 2:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9632/29682 [========>.....................] - ETA: 2:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9664/29682 [========>.....................] - ETA: 2:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9696/29682 [========>.....................] - ETA: 2:44"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9728/29682 [========>.....................] - ETA: 2:43"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9760/29682 [========>.....................] - ETA: 2:43"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9792/29682 [========>.....................] - ETA: 2:43"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9824/29682 [========>.....................] - ETA: 2:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9856/29682 [========>.....................] - ETA: 2:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9888/29682 [========>.....................] - ETA: 2:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9920/29682 [=========>....................] - ETA: 2:42"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9952/29682 [=========>....................] - ETA: 2:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      " 9984/29682 [=========>....................] - ETA: 2:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10016/29682 [=========>....................] - ETA: 2:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10048/29682 [=========>....................] - ETA: 2:41"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10080/29682 [=========>....................] - ETA: 2:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10112/29682 [=========>....................] - ETA: 2:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10144/29682 [=========>....................] - ETA: 2:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10176/29682 [=========>....................] - ETA: 2:40"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10208/29682 [=========>....................] - ETA: 2:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10240/29682 [=========>....................] - ETA: 2:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10272/29682 [=========>....................] - ETA: 2:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10304/29682 [=========>....................] - ETA: 2:39"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10336/29682 [=========>....................] - ETA: 2:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10368/29682 [=========>....................] - ETA: 2:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10400/29682 [=========>....................] - ETA: 2:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10432/29682 [=========>....................] - ETA: 2:38"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10464/29682 [=========>....................] - ETA: 2:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10496/29682 [=========>....................] - ETA: 2:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10528/29682 [=========>....................] - ETA: 2:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10560/29682 [=========>....................] - ETA: 2:37"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10592/29682 [=========>....................] - ETA: 2:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10624/29682 [=========>....................] - ETA: 2:36"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r",
      "10656/29682 [=========>....................] - ETA: 2:36"
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    },
    {
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      "10688/29682 [=========>....................] - ETA: 2:36"
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      "10720/29682 [=========>....................] - ETA: 2:35"
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      "10816/29682 [=========>....................] - ETA: 2:35"
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      "10848/29682 [=========>....................] - ETA: 2:34"
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      "10880/29682 [=========>....................] - ETA: 2:34"
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      "10912/29682 [==========>...................] - ETA: 2:34"
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      "10944/29682 [==========>...................] - ETA: 2:34"
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      "10976/29682 [==========>...................] - ETA: 2:33"
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      "11008/29682 [==========>...................] - ETA: 2:33"
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      "11040/29682 [==========>...................] - ETA: 2:33"
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      "11072/29682 [==========>...................] - ETA: 2:32"
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      "11104/29682 [==========>...................] - ETA: 2:32"
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      "11136/29682 [==========>...................] - ETA: 2:32"
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      "11168/29682 [==========>...................] - ETA: 2:32"
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      "11200/29682 [==========>...................] - ETA: 2:31"
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      "11232/29682 [==========>...................] - ETA: 2:31"
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      "11264/29682 [==========>...................] - ETA: 2:31"
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      "11296/29682 [==========>...................] - ETA: 2:31"
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      "11328/29682 [==========>...................] - ETA: 2:30"
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      "11360/29682 [==========>...................] - ETA: 2:30"
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      "11392/29682 [==========>...................] - ETA: 2:30"
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      "11424/29682 [==========>...................] - ETA: 2:29"
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      "11456/29682 [==========>...................] - ETA: 2:29"
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      "11488/29682 [==========>...................] - ETA: 2:29"
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      "11520/29682 [==========>...................] - ETA: 2:28"
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      "11552/29682 [==========>...................] - ETA: 2:28"
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      "11584/29682 [==========>...................] - ETA: 2:28"
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      "11616/29682 [==========>...................] - ETA: 2:28"
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      "11648/29682 [==========>...................] - ETA: 2:28"
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      "11680/29682 [==========>...................] - ETA: 2:27"
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      "11712/29682 [==========>...................] - ETA: 2:27"
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      "11744/29682 [==========>...................] - ETA: 2:27"
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      "11776/29682 [==========>...................] - ETA: 2:27"
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      "11808/29682 [==========>...................] - ETA: 2:26"
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      "11840/29682 [==========>...................] - ETA: 2:26"
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      "11872/29682 [==========>...................] - ETA: 2:26"
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      "11904/29682 [===========>..................] - ETA: 2:26"
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      "11936/29682 [===========>..................] - ETA: 2:25"
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      "11968/29682 [===========>..................] - ETA: 2:25"
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      "12000/29682 [===========>..................] - ETA: 2:25"
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      "12032/29682 [===========>..................] - ETA: 2:24"
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      "12064/29682 [===========>..................] - ETA: 2:24"
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      "12128/29682 [===========>..................] - ETA: 2:24"
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      "12576/29682 [===========>..................] - ETA: 2:20"
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      "12608/29682 [===========>..................] - ETA: 2:19"
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      "12640/29682 [===========>..................] - ETA: 2:19"
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      "12672/29682 [===========>..................] - ETA: 2:19"
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      "12704/29682 [===========>..................] - ETA: 2:19"
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      "12736/29682 [===========>..................] - ETA: 2:18"
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      "12800/29682 [===========>..................] - ETA: 2:18"
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      "12832/29682 [===========>..................] - ETA: 2:17"
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      "12864/29682 [============>.................] - ETA: 2:17"
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      "12896/29682 [============>.................] - ETA: 2:17"
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      "12960/29682 [============>.................] - ETA: 2:16"
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      "12992/29682 [============>.................] - ETA: 2:16"
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      "13024/29682 [============>.................] - ETA: 2:16"
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      "13056/29682 [============>.................] - ETA: 2:16"
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      "13088/29682 [============>.................] - ETA: 2:16"
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      "13120/29682 [============>.................] - ETA: 2:15"
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      "13184/29682 [============>.................] - ETA: 2:15"
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      "13216/29682 [============>.................] - ETA: 2:14"
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      "14048/29682 [=============>................] - ETA: 2:08"
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      "14080/29682 [=============>................] - ETA: 2:07"
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      "14592/29682 [=============>................] - ETA: 2:03"
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      "14624/29682 [=============>................] - ETA: 2:03"
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      "14656/29682 [=============>................] - ETA: 2:03"
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      "14688/29682 [=============>................] - ETA: 2:02"
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      "14720/29682 [=============>................] - ETA: 2:02"
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      "14752/29682 [=============>................] - ETA: 2:02"
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      "14784/29682 [=============>................] - ETA: 2:02"
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      "14816/29682 [=============>................] - ETA: 2:02"
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      "14848/29682 [==============>...............] - ETA: 2:01"
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      "14880/29682 [==============>...............] - ETA: 2:01"
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      "14912/29682 [==============>...............] - ETA: 2:01"
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      "17888/29682 [=================>............] - ETA: 1:36"
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      "18016/29682 [=================>............] - ETA: 1:35"
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      "18048/29682 [=================>............] - ETA: 1:35"
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      "18112/29682 [=================>............] - ETA: 1:34"
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      "18144/29682 [=================>............] - ETA: 1:34"
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      "18176/29682 [=================>............] - ETA: 1:34"
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      "18208/29682 [=================>............] - ETA: 1:34"
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      "18240/29682 [=================>............] - ETA: 1:33"
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      "18272/29682 [=================>............] - ETA: 1:33"
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      "18304/29682 [=================>............] - ETA: 1:33"
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      "18336/29682 [=================>............] - ETA: 1:33"
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      "18368/29682 [=================>............] - ETA: 1:32"
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      "18400/29682 [=================>............] - ETA: 1:32"
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      "18432/29682 [=================>............] - ETA: 1:32"
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      "18464/29682 [=================>............] - ETA: 1:32"
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      "18496/29682 [=================>............] - ETA: 1:31"
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      "18528/29682 [=================>............] - ETA: 1:31"
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      "18560/29682 [=================>............] - ETA: 1:31"
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      "18592/29682 [=================>............] - ETA: 1:31"
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      "18624/29682 [=================>............] - ETA: 1:30"
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      "18656/29682 [=================>............] - ETA: 1:30"
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      "18720/29682 [=================>............] - ETA: 1:30"
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      "18752/29682 [=================>............] - ETA: 1:29"
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      "18784/29682 [=================>............] - ETA: 1:29"
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      "18816/29682 [==================>...........] - ETA: 1:29"
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      "18848/29682 [==================>...........] - ETA: 1:29"
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      "18880/29682 [==================>...........] - ETA: 1:28"
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      "18912/29682 [==================>...........] - ETA: 1:28"
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      "18944/29682 [==================>...........] - ETA: 1:28"
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      "18976/29682 [==================>...........] - ETA: 1:28"
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      "19008/29682 [==================>...........] - ETA: 1:27"
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      "19040/29682 [==================>...........] - ETA: 1:27"
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      "19072/29682 [==================>...........] - ETA: 1:27"
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      "19104/29682 [==================>...........] - ETA: 1:27"
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      "19136/29682 [==================>...........] - ETA: 1:26"
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      "19168/29682 [==================>...........] - ETA: 1:26"
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      "19200/29682 [==================>...........] - ETA: 1:26"
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      "19232/29682 [==================>...........] - ETA: 1:25"
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      "19776/29682 [==================>...........] - ETA: 1:21"
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      "19808/29682 [===================>..........] - ETA: 1:21"
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      "19840/29682 [===================>..........] - ETA: 1:20"
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      "19872/29682 [===================>..........] - ETA: 1:20"
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      "19904/29682 [===================>..........] - ETA: 1:20"
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      "19936/29682 [===================>..........] - ETA: 1:20"
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      "19968/29682 [===================>..........] - ETA: 1:19"
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      "20000/29682 [===================>..........] - ETA: 1:19"
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      "20032/29682 [===================>..........] - ETA: 1:19"
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      "20064/29682 [===================>..........] - ETA: 1:18"
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      "20096/29682 [===================>..........] - ETA: 1:18"
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      "20128/29682 [===================>..........] - ETA: 1:18"
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      "20160/29682 [===================>..........] - ETA: 1:18"
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      "20192/29682 [===================>..........] - ETA: 1:17"
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      "20224/29682 [===================>..........] - ETA: 1:17"
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      "20256/29682 [===================>..........] - ETA: 1:17"
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      "20288/29682 [===================>..........] - ETA: 1:17"
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      "20320/29682 [===================>..........] - ETA: 1:16"
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      "20352/29682 [===================>..........] - ETA: 1:16"
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      "20384/29682 [===================>..........] - ETA: 1:16"
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      "20416/29682 [===================>..........] - ETA: 1:16"
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      "20448/29682 [===================>..........] - ETA: 1:15"
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      "20480/29682 [===================>..........] - ETA: 1:15"
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      "20512/29682 [===================>..........] - ETA: 1:15"
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      "20544/29682 [===================>..........] - ETA: 1:15"
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      "20576/29682 [===================>..........] - ETA: 1:14"
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      "20608/29682 [===================>..........] - ETA: 1:14"
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      "20640/29682 [===================>..........] - ETA: 1:14"
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      "20672/29682 [===================>..........] - ETA: 1:13"
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      "21024/29682 [====================>.........] - ETA: 1:10"
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      "21056/29682 [====================>.........] - ETA: 1:10"
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      "21088/29682 [====================>.........] - ETA: 1:10"
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      "21152/29682 [====================>.........] - ETA: 1:09"
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      "21184/29682 [====================>.........] - ETA: 1:09"
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      "21216/29682 [====================>.........] - ETA: 1:09"
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      "21248/29682 [====================>.........] - ETA: 1:09"
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      "21280/29682 [====================>.........] - ETA: 1:08"
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      "21312/29682 [====================>.........] - ETA: 1:08"
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      "21344/29682 [====================>.........] - ETA: 1:08"
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      "21376/29682 [====================>.........] - ETA: 1:08"
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      "21408/29682 [====================>.........] - ETA: 1:07"
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      "21440/29682 [====================>.........] - ETA: 1:07"
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      "21472/29682 [====================>.........] - ETA: 1:07"
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      "21504/29682 [====================>.........] - ETA: 1:07"
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      "21536/29682 [====================>.........] - ETA: 1:06"
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      "21568/29682 [====================>.........] - ETA: 1:06"
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      "21600/29682 [====================>.........] - ETA: 1:06"
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      "21632/29682 [====================>.........] - ETA: 1:06"
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      "21664/29682 [====================>.........] - ETA: 1:05"
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      "21696/29682 [====================>.........] - ETA: 1:05"
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      "21728/29682 [====================>.........] - ETA: 1:05"
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      "21760/29682 [====================>.........] - ETA: 1:04"
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      "21792/29682 [=====================>........] - ETA: 1:04"
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      "21824/29682 [=====================>........] - ETA: 1:04"
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      "21856/29682 [=====================>........] - ETA: 1:04"
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      "21888/29682 [=====================>........] - ETA: 1:03"
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      "21920/29682 [=====================>........] - ETA: 1:03"
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      "21952/29682 [=====================>........] - ETA: 1:03"
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      "21984/29682 [=====================>........] - ETA: 1:03"
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      "22016/29682 [=====================>........] - ETA: 1:02"
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      "22048/29682 [=====================>........] - ETA: 1:02"
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      "22080/29682 [=====================>........] - ETA: 1:02"
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      "22112/29682 [=====================>........] - ETA: 1:02"
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      "29568/29682 [============================>.] - 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",
      "29600/29682 [============================>.] - 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",
      "29632/29682 [============================>.] - 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",
      "29664/29682 [============================>.] - 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",
      "29682/29682 [==============================] - 245s 8ms/step\n"
     ]
    }
   ],
   "source": [
    "y_pred = model.predict(valid['inputs'], verbose=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "papermill": {
     "duration": 0.661707,
     "end_time": "2019-05-28T12:13:27.445823",
     "exception": false,
     "start_time": "2019-05-28T12:13:26.784116",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "papermill": {
     "duration": 4.262355,
     "end_time": "2019-05-28T12:13:32.791986",
     "exception": false,
     "start_time": "2019-05-28T12:13:28.529631",
     "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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QNbwgQUpBP4gwNYWlfoCpCpoDn64f8TdnWrSdgHffP0YqFWxDIY4lZUPQ7AccGrcZBAmJAn6cjTQudkPqto6iKnT8kL11m9mVARc7Hgu9gJ4XcGiiTMHQeHGuw+5qAQAvARCMFTROLjlMlqxhm29/5yBn55ErgjuQGzG1XIsj9naYcBw/ZmXgU9AVLCN73Cq2TqPncbrRzxKqrpNR23vdNvCjlOPnW4yXDD732vK2JKRtdO0OT5b5jdfP0HcjVFXw2mIfzw+xLYPXoi67qjZqSedix+XAeAlLgxS40PQI4pjX5gPmei6qhPGyRZiAZais9HzGSzoAhiqI4pSSruCFKYsdj7NNF0MV1G2dQRByuuFw30QRN0xRBcSpoGSoCMAPYeBHa+eRR2ndm+SK4A5jMyH42IGxKwrtgxMlvvuxGZ4+3WCh6zNeMnjywBTNQcD55gAhoRNE7CoX3rTfjhvecC+7ZGmcXIiYKF9qWxil1GwDx4/Xzul6FNBqCedV27ttZlHQf/riPLsr9pofZKtMHZvdk0OTJcIwRdcU2oOAxa6LqaloUcyFts98z6Na0JmsFEBkQh4pOb3co+1GVCyDKcvkQnuAFzu4rwYIFLw44T2HJ+j5IQ/trfK1M20SwDYUTsx1UBWYLBeo2CZjQcJiz+Nso0+loNH2Y2oFgwemy7QGAZ99aRFUQUEV7KkXUVVxQ1FaV3NK5+xsbpsiEEL8J+A7gGUp5SPDZWPA7wIHgXPA90kp8xk4roPNhOC19K4PTpTWRZOMCq/n5zoM/IjJoomiaCRpzGzL42tn32DFDTg4VqRqabw02+HPXljg2EyNdx4a59j++hWF9uHJMl8/38rq7Ns6nUHEXNuhYhskUnJuxeHF2Q5tPyJJUlRVueoMXau291EsXaHRDzkytb5q51aYOk43+iRScr7l4IYJtqFSt7OM6N11iziB15f6lAyd5X5Ao+8SRuAJyYoTUrZ0LjQHSCnQNYVzKz79MCJKU9IUVFXQdWO8MOX+ySLlgs6z51p0/Zhvun+SybLB8bkWSSJZ7gRMVAy8OOHMUpcwSfGDlCCFUkEhCGMO76+TJjEvXexQLmjoiuD1pQHnVlw+8v7D1y28O27Ip1+c59nzLeoFnbqtc2bJ5Xd65/iBdx28YWXwwmyLP31xnkY/ZLJs8N4jkxQM7Z4LOtgKbueI4OPAvwV+c2TZTwOfk1L+vBDip4f//9RtbMNdx2ZCsO1eX/bt5QpFSqhaBnNtjxngtcU+pqrw+lIXTdV4rtdGiqxmvgp84bVlTsy1manZ/OC7D7B/vLRhr75mG3zrQ7v5zMuLXGg6tN2I6bKBqelMlwt86vgcUSrZW7cxDJUwkcx1PF640OZ9R6c3bPtqCedVJQjgRymT5a33g5xbcfjE02c5s+xQMDWmKyYtN+Ji0yWWkqPTFfpBzELXJ0oiHC/BjWC8pKIqgoEX8+Jsh7Gyia6qpDKl4waYukocJzh+Spwm6CoUDQU/krTdADdM+Js3VljpeFRLBSaKFm8sdxgk4LZDahYIRcHzU/w0e9GnyxZhkvI3Z1ZIpGCiZHFk2maqaqGrgtYg4ukzTd59eHJDf8sje6pEqXzTPT7d6HOm0SdJUo7PdhiECaaqsH+scMOjsRdmW/z6l89Qt01mahbL/ZBf/twpvvvYXh6eqV3zSDjn2rhtikBK+UUhxMHLFn8YeP/w+38GniJXBNfFZkKwZGnXZGJZfbmfPddmupJVwNxTLWIbmeBxo4S5tkdBV3GjmBUn5PCUSSuMaXkhcSxZ6nskqURVbeZw+Y2vnOVd901w30RpzTTy5y8t0Pcj/ChBSkkQxry2NEBTYbpS4MG9FSqWwVMnlykaCpaeCW9LgVpB49Sys6kiODxZ5vj5Vrb9SAz+h966h8+9tjy8Trc/Ie3cisPvfPUcs22PkqkRJpKnT60AMFbUiSLJ8bk25YJOnCQEEfgRWBokUqILFRTwAmj2A2bGC/hBSi+AOEiABB3QNdAUWOolNHoDUkCSlQXouD0qhT5NNwsD14AQaPpQUlKkgIIKBVPhdKPP/nqRXVWbpY6HpQmqto45vPZ1W2e+nfluxovmugKAy72AX//yGT5wdJqJksnL8z0++/ISk0WDthvy/PkOSz0fXVNQkDTdhLONPudWBgDX7bT/0xfnqdsmE2UzWyBCarbB1y60eOv+sesaCedcna32EUxLKRcApJQLQoipzTYUQnwE+AjA/v37t6h5O59RIRglMS/MdTnfcJgoW3xJb/DonjoT5fU2foAvv7HMX72yzMmFLnvrNlMlAzeUfP6VJd5x3wSOH/PKfJearVMrGIwVdWbbLrurBdIU/DhlxQloOxECqJU0NKGy3PNIEsnLc21UIXCjBC+IeHmux0TFZKps8PSZDpCwu2JRsQ0utAbcP5XFz2sC/DBdd45SCq6U3zJawrnthpQsba1nWBkWqTu7MiBOU+6bLNMcBGujk1vhEF/dx6e+PkfDCSibOimw4rrEaQoCpFAoWSrSi3D9iHrRRFFiun5CFEOYpPQJWT3LJMn2G/gJ8ei1ANw4E/qjV0kFIiCS4A+VgDJctoqTZttVTEjSbOazWEr8KEHTFc40BwyimJmxImO2xcAPcfyQ3//aLD03xLI0vDBGdBVagwBb13hxts3MWIlBEHG20ee1+QQvTnl9oUeqwFS5gFAEgzAiSaDnhYSRvG6nfaMfMlO7FO4cxpKapdIYXBr53shIOGdjdqyzWEr5a8CvQZZQts3N2TGsCsETs22eOd3E8WIOT1do9H2ag5CTShfLrK8lKT0/22ax6/PsuSYLbZdaQaPnJwwCn5m6hRDwZ8dn2TdVJklT/DDhVN/hwd1lpkoWe8oWf/nqEmcafTpuuiZozCjBSxJMTaM1CDjfVHh4b52yqfL1c238JEECp5suk2UDKWHZCZmq2SiKwonZNntqNruqFrNtFz9MMDRBGEu6fshDu6tXvQ4b9QQPTpSo2cabsnZXo4r++kwLZOasHk9MjruZU7c5CNYpB+BNCgPgxGybExfa1IsmTpgAkihJqFgGUZqSSEhiGAQJQkCUxrQciRe52LpGJIfC+rInOk7BjFJal8m1VaWwXlVCwpu5fJvV7XpB9tdWMp+MpSvYhsYgjDA0gSYEL892CdOEiZJJz4041xlAqrB/vMijM1W8MCWKY17rZ2ap2ZaLpan4cUrVNggkKDG0Bz6qyKbaNFTwYji3MmDZ8fkPnz/F971z/zWV2ZgsGyz3AlDC7JnwImScUB8JOlgdCefcPFt9FZeEELuHo4HdwPIWH/+OoOOGPD/bXpvA/Mh0mWP7Ljlla7ZBydLYUyugjwssQ2NlEDJmm3S9mIttj8puA0tXeGGuz6nFHgsdn9mOR8lUGS+qqCoESUIcp8z3AvaOlRm3DSJAjRI6g4jdtQJt16cfRCDX9zY7rsTzBxyYsGn0feIUPvvKAo4Xc2bFIUkSXl82sHWdwxM25YJOmqZcaA2Io5QoSXhsfx1dU3D8mL94aR5VEVRLJhMlE0RmerlcQF9L730jh3rPD/mDZy9waLJCxTYJo5TZlku9aPCXLy/y6L76mlnrE0+f5bkLbQZBhKWr7KkV6HkRLTcijBLqtkbNNnlpvkeUxOiqSsOJEFKQSEgl9PwQmYIzlOTdAAZBvGmbU6Dl3Z7+zqrScFMghG6YUhiEKCoMApcolpiawPMjjjc9dAXcCHQF+l7IXNshSSVBlFC2zKzDEKfMdTxKhk7JkhT17LyjVOKEkrIJmq5haJKWG6ABCx2f7iDmuNt6U5mNyyPV3ntkkl/+3KlsJGeppGnKubbL+8YLfO3sCqpQqJV03ndkio4bcuJCm1NLfYQQHJkq8ehVghiulc3yUu62bPmtVgSfAv4B8PPDv3+0xcffkYw+VELCxZ5HdxBTKaggBa9c7NDzY957ZHLtYXtjyeGZMyvEUlIxdVQFHD9iuRdwptnHDWL21Ys03ZCXFjqUdQNFSDpuSMcNGS+ZhElKEKaUDRUpU5admFfnO3TcEFVT+I6Hd/HVcy2aToQbre9vpoCfwpllF0sDRUhenG0TJZmNOwXcMGSsnPLCbETF1lEUwb4Jm14aE0vJc+dbLHQDBmFCxw3oBiljXsy7D9WJkpRPHp/j2N46hi54eb7HV15vcGxfnWP7s2kcV68ZEgTZnO9Cwom5DiVLpWTpzNRtJPBXryzyzNkWryw57KlY3DdVZrHjcmK2DULh+FyLiYLBiYtdXrzoDHvQWa/2mTfapGSmF1VknXldzY7VS7Ll+vC6BKsXaAOLxeZqYOvxABIwgbYbMG4bLPRidBVSkV1PNwVS6HYudQFWPJ+Bv4hQVDpeQkEL6PgBYZyZsCom6CYIBZwgZtq0aA9CogTiOOFPX5hjZqzIQs9jb9XeNAKuYGh817G9fPn0CqeWXVQhODReRJKNNlBApNm788LFDhdbLlXLQAjJyws9ul50xcgzuPTevbHk8Mp8m76fUiloPHFwnG88MknHDTecKOnJo1M0nfC6Q7h3Mret1pAQ4nfIHMMTwBLwUeAPgd8D9gMXgL8jpWxdbV93c62hywuTPT/X4fWFLocmSoyXMxtp08li0KcrBR47UEdXBL/51+dx/YiCoeJHKWebDlJCxdIYL5qEiUTTBVGUsNIP6PsJ3UFAL8juty7gwZkycZQyVjIYhAnnmy4lSyOJIhpugkyhYIChCRYduVazfNU+vfrk7CqqOFGCTCBIsvWGBmGcCUaTTLC87WCZil2gZAj+h0f28tlXFnh9vsd90xX6fkhrELLU9RkrmxyZLrG3ajNeNpESCoZKmkjiVFIvGZBKpqsFojjmhYtd3DChoCmcabr0vZBH9lawTYMzy30ag5BTCz0KuqBqGbS8kI4boakKXSciSLNzEawf9dwrjFvQ89efu8b1Ky5bAdsCz89GIeMlhaJhoCoCL0qZqVuULJ09dZuKpaKg8PiBOtXiJV9AmqZrdn9VEZxacigYKvOtAX6U4EQp33lsD2XLwA1i3mj0iGMwNCXLwwD8KCFMUh7eU9nUkbz63vW9hKdOLtH1IwwVxos6XgJPHBhjEEZoQn1Tfa6FnsuTR3evqyHlBjGqyo5zXG97rSEp5Q9ssurJ23XMO5FVM0YsU04uDXh9sU/TCbF0j/GyxSCIWeh4RHGKqigkCfzR1+eoFTQcP+JCxyVOIIwzM0+SSBa7AeWCypGpCp1ByHzHpeGu9aWQZE7Gluvz9v2TLPd8ZlsDFCFAgW6UUtAhisAJYFxT0YjXHJaXd3aFgDC8tDwGRq0gq8ufP9enag84OFnmi68t8cXXlkAIAinxwgQ3iBFIFtoDCrrKSt9nulLg8YPjWLpKqqb0g4T2IMALE5puxLNnmwRx5o8wVIVDE0VsXeFrZ7vsqVk4YcT5hkMkU9JIoRv4hFFE05WkQ6OJRia47lVHVHODNIsbGb0kKYwVbTwzxg9CNEVjtuVTNAVFy8CPJfuKJppQiBPJVNXkdMNlV5RyYrbNUs8niGImywV0LQtnnSgazIwVCRLQVZWKojLXdnlwaPpsOiElU8PQLoUMG6rAC9O1hMWNWH3vnj3fIk5TxksmYnje40WdM40+fT/hiYP1db8rWSqNiyGWvn4qlzvdcZ17Wm4x11t/3vHjdT2fMVun64acbQw4NFFm2fFRFAGKworj8+qi4EzDwTYU9k+WsHSFk4t9uoOQIJHYRkKSZk7KF+Y6CCTdYVTJ5YLO8WJqpsrXWwMWnCxUUXFihJqFK0ZxJiCj4agxYGM6frKRJWQNCZT1TFB0vZTTy11OLXVp+WAAUeLSGhFGlgJCEbSciPmOT9+PcfyEgi7YN1bENgXz7YBywUCSMvBD2l6MGyUoSFIEF7sOKwMfXRGsOB5Vy2SpH+DFb3aq7iSTzZ1MAAzCCEsTxKpCexBmnYREkrgBAz+iZOk01YCpisVb9xg8c67JiYttCpqC40cMgpjlfsCxvWMsdXxMVXC20ccJEhr9gDCMeerkErtrNjVLpRdEkApKBYNH9laYrFiEiURVlSs6klfzcbpejCKy510IgRdlCYHL3RBLVzfMS5kcRuVtFMJ9p3LntnwHcqXyDwBfOrlMx4uIU0mWUhtHAAAgAElEQVQYpXzl9WUUVdAZxOyuFbB0lV21ArNNj7YX8uVTy0jAUhVUTXBgvIYqJM2BxxuLMfO9LNxv4Mc0ho5GIVIsNetxzfb8zESzSXsbruSTz8+SDCXjmmkgYV1YSt9Prmgy8a5BkvZHdhB5sJrjFcI6JQCZ7+GF8x00AWECPS9CyhRSWOoFWLqgZpvsqdv0fY2u76KrCkQRJxsOihToQlCzNBqDkDiGjpeFam4UWZNza1CANEnpRilBJNEVMHWBIgR9P0VVUlb6Pu88PIahapxpurhhTNXUaTpB5i8wsnyMjh9yaLpEdxASp7DQ8RiEMe1BgKkpNPouJ5dipooG+8Ys+l7EV04t8/jBMTRVZaZWWIv02ojVfJxqQaPnZscQSAxNwQ0TipbGsX1jnFruD7e/lJfyobfuWZs+daO5JO5EckVwC9ms/MPzs1lEw+uLDhMljbptMN/ziULJnjGTnhcRRQlJmnKx5bE08KhZRmbbDxK8KOL+yTKOF9Po+4BCnMScWsge0tFBahCBQlZSICSz01+Jls+ayWgz/I1iFW+CBPDCN8fGj+KNrFgeZA0wAX/ZwU9A0ueLJ1eIZbaPogYlU6XjeAiRORJXBiE9N80UYXSvGn62jqIOUgiCSJJKqBUNFKEgkSQypKBqBHGKkAoTRZMoSQijlHccrHBqaYBtKpmfylTo+glv3Vvl1SilbKrMJ5LlnssgSKkWDBKZUrVUqraBqqoc2WVxZmXAq/M9vv+dB9ZFDW1WEPD4+RZvmaqy0PZpOsGaj6A5CHjiwBjfeGSSR/ZW19Xn+u6jM+uihi7PY7lTyRXBLWSj8g9hknBits1KP2SiqKGqKi9d7GEaKstdj1eXeuypW/ghnG+5xDKlqKkkaUrfj9lTL3C2EfH6YpcXLrbRBaiqSpBCsIFsC1LwN7PhbMJ2iMgbsaYGZM7oVeKRhvdj6MeXaawo7/9vJYoCtq4ShjGDAFb6IVXboGJpDBRBkCaosYIiJC03RJEw3/N55vQKKApJqmMMw4kNBS52fISQvDjf5WLbJUlhX72Aqqqcb2bRapASJJIH99Q4Ml1moeuvy0i/0ih9NSnxXYfH16KGNE3jm+/PooZWkxA3SoLbLI/lTiVXBLeQjco/nG0MqNtZDX5FqJi6iuPHnFruUbay0gOen/LGSo+JosGemo0iBM/PdvDCEEXJnLGDICGIJUkKipLibtJLz/u9OVuFQiZAFAFFCyqWRWvgMxgmsIURJL0QVYFqwSSVKY/M1OgHCXttg+Wuz75qgaVeyETJ5PyKQ7FgsNzzmCoVcMOYQ+MlXl9wqNgaIEhRiJOUJE1Y7sWULYs4jfj8q0t4YcKuWpY9vto7v1qRxtUPHLjh63A35BQoV98k51o5PFlmEES4QUyaprhBZtM8PFlk/7iNE4SEYcpy388Svzo+AkG9pKMJQaMf4EUJjUGAG8a4geT0kstiJySWkjgBX7KpEsjJ2UoEUC8KVA1UIbjYzpSAqYKtZk5/X8JKNyRKUlKpcKHl0uz7vDLXRVEUHjs4zjsPjaEISdEykDLlkb1VdtVMqgWNjhegqII4TlnqeLyx3Odi08GQkjCBC60Bqcyyu6M4xtK0zBc3jOBx/HjDCJ8rRRRdD6sjjiSBum2QJFmSXOcOiyDKRwS3kI1q4BzbX0dXNR6YLjPwE5Z6Hj0vII5jxkoWtWHPCCRSSk4u9ui5Eb1omCQFG8ds5uRsMwngBpKiLtB1DVWJKOhg6DpSQBglBMPqp3vqRfaPWZxZHtAahIRxwmMH6hRNjYKuULENDk8WeW2hhxclFIf5MWMlk1PLA5Y6LlGcUlAgTDMTYb2kMVGyiJIUXVWZHC8QpZITF9tUbJ1vesv0FYs03gpupiz8TiJXBLeZA+NFzjYcEilJZcpr813CBExLZ7xooWqCOJb4cUJnkOAnlxyouZknZychWG9CEGTPatnWSVOBrmUhwm4YEadQNFV0svDcpZ5LmkoMTaWiG3hRRHsQMlUpEMYpSMlLcz1sU6FS0Hh1vk8ioWobCEAIBVVTGCvolCyDnhdRsFQe2FWi5yYEcYITxkyWdPwo5cSFNsf21Rkvmnzm5UWQKbqqECUpfix5bKa2zoR0o1xPWfiOG3JiGDgCcP90mbftuzWlMG6WXBHcQjZyTJ1tOIyXDD79wjwnF/o4QYytCxpORBL0mKoWaLsxC70kF/w5O5rV7GsFKJhZiY2ULP5eUwUFXaU1SNaiwTpxFnasAa2eT9/LZlhLEtg/brPYzRIGM9OORMqEI9NV+n7MXHsZISRuEOGGCTVbA5HiJ5KqpnJ0j8Vc2+fMskfBUNhTLSBUwVzbZ6JsUC+avHChTSIlRybLnG86vDLfw9QF33hkEsvQbklZiGsdcXTckC+dajDXdKgOL95r83367tVLYWwFuY/gFjI6TFQUBdvUKJo6nz+5zOnGgDDN4tnjVCBSmB+kPD8/4HwnyJVAzh1BTKYQgijL8SiYGhIFL4opWhqakkV3RWSmIw2wjSyAy4sAIShaCr0gxI8TYpkwXbFQFXh0Xw0JXGx77BkrYOsqHTciSRJKhsGjM2PsHy9xaKKIKhRMTaAqEiEEiUxJ0qyYYZikHJoscmrZoWjqTFUtSgWdxw/WeWRvnX4Qr72bpxv9m7oeG/kFB0H0phyG040+7UFAvWhhWxq2qVOzNTpedNNtuBXkI4JbyOXDxJ4fcnKhy5+/sAACWo5P18tspjk5dyoxWUKgANIkpj2ISVLYVVGxtazcSMkAhkUAJVnJkUpBIIRgECTcVy3y2EyNx/aP8fiBcZ473yRJ4HxrQEFXeGCqzOsp7Kqq2KbCX726jOkL7h8v0PJiul7ErmqBB6ZLNAcRCz0fQwj2jxUYKxcwVBUp5Zqj2A0TyqYKQtD3s+zGW1EW4kpzY4zi+DFJmmJY+toyQ8sU6K1yXN8MuSK4hYwOEzMlkCWR+XFCGCcsDXINkHPnI4CuD5YOtqJQK6h4saQxiLPJaSoqRUMnHCZJuuEwzE1k4Q+WoVItaMTppXpAqwlebSdkrKRDAtMVk6KpkcqUtx+o4QQJbiyZqVt84KFpVnoBByeLFA2N1xb7FPSsim4kYRBEHJkur72PtqFmvggE9lpxulvjNL6WnIKSpaEqCmGUrhXHC+MUTRE7ojTF9rfgLmLUMdX1smJYp5f7BGFMw8ljPnPuDlLAAuII3DQljDOBGscJUkISpygmJAjCdJj5bUK1oGEZOkVLY1fVpu3Ga0JwtWe90PNoOgFjJZPHDtTXqow+uq/O4cnyunj9t+2rc7bhoCoKD0wVOd1waXshj83UeHRYqnx1Nr/dVYuX5npImfDovtqaCWerykIcniwz3/EzH0Ga+Qh6XsLemnXFUhhbRa4IbgGr0QAnLrQxdQ1TU2k6MYsdj8WeT8FSUXJFkHM3ISCRmZ9ATbLRQdHSCKKUnpcSpz5Hd1UJ45RFxycMInpeQtU2uW/MJk0TNMNYJwQ7bogbxry62GeyFFA2NVShrAnsjXreNdvgdKOPF8HDM5U3JXOtmm2SSHJ0TzmrMJqCZbClZSFqtsF7j0xywtLWooaO7smjhu4aOm7Il04uc+JimziWFIwYVVHRBJyY79NzQzQl98nn3F34Mpt3QpDNbaGpgpKpYqkpURRi6iqqqrKnYqGoCqoCILhvooxlKEyWTR7aVVkTgudWnLVJYN6+v8a5hsunX1rkWx/atVbuYSOuZpbZSaUgarbBN71lmm96y/TVN95ickVwk7xwoc1cx2MQJMSp5HzT4fSKSxTHdAdJNstTXvMy5y7E0sCPM9O/TBO6gaCgCiq2hqpI/CShoJscmCjScgIe2VvjyQen16p1rppvAJ4+3aBeMNYmgXl0v0lnENLzbz7WP+fq5IrgJjm17KAp2QxFcSpZcgL6boCfsFbeOSfnbqNANm2nrWRhoj0vpWanaIpGGAvGbIuyqeOFKVKmzNQKTFfNTSNrmk7I7qqFG8YsdX38KEVXVjMXcm43uSK4SaSUNPsB5YLOi7MdVvohXkQeIppz16IDhg6qCpapESVxVs9fSNwwwjI0SpbOfRM25YJOa5DNJ/Gew5M0BwGOH3O60V9nzx8vGSz3AtpuhJTQ9wOaToSqZmajjSqA3gh3Q4G420GuCG6SI9Nlnj3XpONFeFFCFMa5Esi5K1gVDvHI/9WCwlTZouv6GLqObSh0A4GeSCZKBkkqmCybTFctCrpKexAhgIMTJc42nE0nfH/P4Un+/VOnUKTAC2ISQEFyZKrKX768yPe+Y/+GAntUsMOl7OeNhPyVSlLvJGWwHcoq92LeJAcmijhhgh8lxElKSuZEy8m5G1DIphMt67B/zKRqacx3XJwgJYhC2oOIoq7zgQd38b637OJdhyd4z/2TFE2NiUqBh/dWed+RKUxd2TDrfjWr9uBEiScOjOHHMYMowTYV3nl4gvsmi6Sp3DD7drTyp6bAKxc7vDbfR1XEhlVAN8v8v5HM3o4b8tz5Jl84ucRz55u3rNrodlUzzRXBDbL6IHzulSVKRpYcIwQkSX5Rc+5clJG/hpaVh6gUYKJkghBEaYokmxQokQJFlVQtlcmKSd9P2DdmEyUJB8ZLPLavxoGxIkJIqpZ51XLQh6dKPLi7ygcf3c177p9iopzNP1wr6Rtm344K9vmuT71oUbM1Frr+hkL+VpWkvp3C+lYqq+shl1k3wOiD4McRLTeg6Xg4QYyuC/KMgZw7DUvJhIEgG9FO2Ro1W8M2NcqWxVTZRAG6XowfQhSD46ekiSBIkswPkKbsrReYGS+xb9ym7Yaoahavv6tm4l82Y9xoZm/HDRl4MWeXHV6c79L3IvwowQsTxovWhtm3o4LdDRMMXVmbcxjeLORXM/83a8O1cjuF9e2eP2Ezch/BVVi11y12Arp+QNUy6Poh0+UCsUxp9GO8SBJGIJSUOJF5sGjOHYUGKDJTBArZKGBmwmasoHF6ZYAfx9w/PcHyGw2SdFhELgFdAzeK6QcKUkoemqlSLxo8sYFNe7WEBLx5wvdR2/03H53iS6dWeHGuw4N7KuwfK6IINsy+HS3pYhsqYZQCctMSEldqw/UwWlOs54dcbHtrtYRu1p5/u+dP2IxcEVyBtZ6/lCx2B6iKyrlBn3NND40ORUtlomQQJwmGrtL3Y6J4ZEKZnJxtom6CG2SVQK+GAtRLKhJwo5TxokEQpThqyoO7ywQxhHGCEwQYAmxLx9RUVFXguCG6ovK/fNvRKwrAKxVne+58c62HbZslPlg0eGPZIQwTakV9U+E6Ktj3VC1emO0ghMojM5UNS0hca4G4q7EqrGMZc3KhT0FXMFWFWOGmnc+3SlldL7kiuAKrQ8DzLYeiaZBIyXIzJIoktbLOxY4PCCaLBvMtFzfKU8dytgYV1pkgdbJnr6BlCV71kkXVhvbAJ0quPL1pqQBC0XD8gJl6kYImMHQNL0yZ2WvznvunSAU8c7ZFrMZYhkbR0DF1QUETpAhOzLavGuEymuU7GhlzarHPg7vLMJzlq2IZvG2mRtsNr5o1vCrYvQge2puVsU5SibpJCYlbkWm8Kqzn2h6mJgBBkMQc3V1BFcpNzU52q5TV9ZIrgiuwOgR0w4SypXO+OaCkawhbZAJfgEDgxjJXAjlbhgGUrGxmu0SApQpMXaFS0AkjSYLkwekyBVPn6dPLtJx4bbKYURSgbsHDe8dZ6XuYusVYyQCZTRzTGYScWh7w4x/I6uF84OgCZxoDQNDzI9wwZeDFHJosXVc45rkVh8++soBMBbWiTozkhYtd3rZPoVzIfnet5pDtKCFxSVhfQFWgZCkcnahQtgzSNL0lpa23+pxyZ/EVWLPXDe2PfpQgFUHN1tlTs9lVsWgOQuaavdXOTE7ObScEWr6kF2eTvRyaLPOtD+3hm4/u4v1vmWBXxabtRcy1HA6OFTG1rFpoUQVrmKirAVUL3rZ/gumaSd+PKRkqY7aFoal4YYqmKFRtY02of8/j+zEUhYEXU9QUZAqGrnH/VBEnvLbJXjpuyGdeXkRXVCbKBmkqSROJGyacWnKuOLnLTiJTBnUe3lPnwd01ytb1KbCdxra0WAjxPwP/iMyU/iLwD6WU/na05UqsDgHrtsH5FYcwSXGdkIKhsNwPeGBXmbIVomkaySDa7ubm3IPYGiQyZaxsYBsaXz3joKngBQmJzBy6x/bVkcNSDVGacnCswEsLWXn0ruczCEKEkBRMnVimPDBdRFU1mj2f+6cuZfQ+um+Mb3vrHr50ahnXT6gJhXfcN8bums3Ftkdlt3HVyV5ON/ogUyq2iSIElqEwBnhhQpSkW2oOuVm2y55/O9hyRSCE2Av8BPCQlNITQvwe8P3Ax7e6LVdj1F4XREW8KGGx41EsFDg6aZNKeOlilyhOcrNQzk1xuc3/aqy+uIoAS9X46ukmBUOl6YaoElIJpiaYqmZzArtBRNkyCJMUw9Ao6ipJnNAeRFimyt6qTb2gU7E0oljixxHVgsaTD+9ad9xdVYuPvO9+FEXh1fkuSSoxVEE/yFp/eUjo5Rmyjh9Ts411E7QYmkLPi3n8UH3HVAq9FrbLnn872K4xjAYUhBARYAPz29SOTbn8If5bRybYVTM5urtK2w1xwySrbZ5IEJLbm/eXczczZimYasrC4NKyjWz6o8QMo9MESBIWOhEVW0cXEltXcaKUFSekNQg4tm+McdtguefT6PtcbLnoisL9kyVSFCaqJhVTY289UxpNJ2S8lJV9uLzGz2h440y9wGuLffwIbFNZF6mzWTkHVQjGSyazLRcAQ8+UgFDkjjYFbcZOKnN9M2y5IpBSXhRC/AJwAfCAv5BS/sXl2wkhPgJ8BGD//v1b2sbNHmI3TNk3VmBX1Qbg1YUOpCltR+bhojnXxaqgrxpQtjW6zqWuhAHZBO9+esVRgjrcz3IvwFQVirpGkMSkikLZUum5IYMo4UJrQK2gs9wP2FUrsNx1KZkaC07E3qrJA1NlFCQDP+FH33f4iu0eNYcUTY19YwXOLA+YLJtryWMAf/biRfpexFjJZKZur9nQvTBGFYJ9YzZNJ6DR80Ao/O2Hd9+RPem7he0wDdWBDwOHgA7w+0KIvyel/MTodlLKXwN+DeCJJ564rXL28t5/34/X4pqBteSOhV6Pychc+/9Cc8CpRh9TzWZqysm5FlSyF09VYXfdIkxgqlZA6Xo4QRb+aWpXNxVJoFzQ6HoRtaKOG2bZuEGcYKkqUSqRiWQQJahCMFU2sTQFN0iYrmhUFIVdNYuiqeH6MVJe/TW73BxSLxp83zvH14T4aifK8RLGSyZxAq8t9Di6u0LR0PAieGx/9ntdVbh/upxXAN0BbIdp6FuAs1LKBoAQ4r8D7wE+ccVf3SY26v2fmG3z+IEx7JHLY+kKVctgEGRO4SiO+ZvTK/S8GMMgG9vk3DPUjUyQ24aBrgnCJKXlRIQxRGQ9dZVsCkcnAhNQVEgT1syImgrnlnwKFuyt2uyu2Sz3XQYetAeZYWg0rE8l2zdk+zM0CKKEWtGkYhkUTYWuHxImAqFnCqVgqhwaL+KFEttUaPYDENDoBxzbXyVNwQ8Tun7IQ7urG57ruRWHp0831pmMNjOHrObe1EsGcZJiGdk7NNd2OTBWomRpd4055W5iO8JHLwDvFkLYQggBPAm8ug3tADauG1K3Dc42Lhlse37I83MdFjoegzDh868t8CtfOM25pouQ0MuVwD2Hn0C1YCIE6KrCQ7urHJgorq1fLdUAWR2fmEwJaAoYw6I+QQg+0PZhue9SKeioQkNXQdfBVrOeWtGAggqqcin2/+0HaxycLDFZsRm3DcZLBgmgKQqmoaJrKvdNlLAMHdeP8MOAJIHxcoEnDoxj6CpBlJIk2eTze8dsjo3MGLbK6hSSYSTZXbUII8knj89xbsXZ8Lqs1srZWy/gRSl+GKOp0HKCHR8SupXcruqlN8qWKwIp5VeB/wZ8nSx0VGFoAtoONirydHiySHsQ4AYxHTfgxIUOAz9iX73AV083+fMXF5hruXhRgp9cqteec+egMOylMzTTXMdvDUCkkAo4MlXGtnRmOy5CJuhqti9DycyFQZSNHBKyDF7dFKgym/h9tWR5RYMohaYTYBcUvDjbf0EHUwdFySaCMXU4MmkyUTJZGQRIJHEi6fohe+o2h8aKHJ4sUdaz8g9Hpss8uqdC14/ZVSuiqjBRNqjZOveNl1A1hccPjvPwTIX3HZna0DyzOoWkrqnMtjwWuh59N+azryxueG1WnckVy+Atu8uoqkLLiSgX9Ds2ouZWs12lpq/EtkQNSSk/Cnx0O459ORsVedJVjWP766gqHD/T5kJrQNeN+aPjsyx1fFLA1rOa53n2wI2xWuDsditRbYNj6GTx9ykgYzAN8MNsefj/s/emP5Zk6Xnf75zYI+5+c8+svbfq7ullpocc9ohDjjwY0rZMixIlL4RhWAYEGIagTwJsGP4i+B8gYFiwbJpeYFkkTAmwDVAWRUKSyeFw2N3Ts/Vee1buN+8e+znHH+JmVlZ1LVlVvXc+QHUhq29GxI0b912f93m5N1un5oAjK2pmksPeOOPJ+QZfWa7z080JvXFK5AlUbHAcQaEMUlZKnQ5gSYnQhoGByK4i/CoLEOxOcraGKc3AwbVByIoRhIDAkiw0fOJccXa+gWsJrvViap5knCks6YI2RIGF54T8/IUu+5OM+UbAXORSKM0rZ9soY9jox/STkicXayw0fP7tF1fve/96k5ymb3O1N6ka0p5FQsnPNoYM4g/vEz7aTK65Nmc6EXOR+4k7gc/yJrKjVQi41YN8HGmKx8XnbwTuI8aDVBHf2Rhyo5/guxY7w5S4qJQak/yEMvq4eNzZCwGs1CyEJRjFJdpAVoJrVcd2RFWXT2biazaV84m86v/nGQQuSCmIXEOcV8f0AWmDKqtfUBpaPviBS3+Sg65KPL6Ed7aGjNKAPCswxlD3PVxH4VmVcUdXTd1aIAhch6wokShsWV3r/qSgUNVrDBB4JZYFEoFlSTzbUCjNSjviuZUmZ7sRNwcJEkGmDI3A0PAdfNciLUq0MmSF4RsX5nEti2lWsNKJ6E9zNILzCw1W2wG2kFjHSIO6NZcPtqaEnoU34/0rI5iruXc1XJ8Fbv1nfRPZUfXSAzxoEO/jxpfeEdzrwQX45z/dYn+aUw9sslKjEdjCEJsTddHHxXGcgE1VUjFUJRTB7dF9ZMO0VEglubBQQ2lD4NgM0pzFms84TbneTzCiomkerEG3LYFSBs+pDF1aGvbHVW7nyYq6qQHLq+r/++OScQ5JkePbYLkWnmMROTaeK9kYVJz4OC9ZqgeUxmBbknZYMXmMkViyauxKKbCASX4rIyqAUICWMM6qRS/aGAQCjGSpGXJxpcF/9Oo5AH7/tRuc6gZc3otp+C41zyIrFaO05DvPLtJwnUPhtXPzNa71plzeGdOOPJabPraQx56AffXCPD+43MOSPrYFcaYZpwW/9PT8PTXyP+1m8Gcx4j6KT0tq+n740jsC+PCDO4hz/tfvXeFfvrvNRj/BtyWBZxN6FntZeeIEPiHUPOBg65uB4czuWEDDBS0kndAmL3XF0nEkS02fum8zSHKu9hIcW/L0UkCcluxNMhwb0tLgyIqimRQK17aYa9jEWYktLZRRQFXawRi6DZu8UOzHlfNYbYWURuPZFmWpyEtoRw62FIzyAt+ReLZECpuy1DQjlyRXxHlBkhsCF4b5rTmAQFZ9hMiRlEpjWRY2zI5jsdr0kEcUPhebPsO0YL7msj/JGcUFoW/znYtL/JUXbpV6jkbGXzvb5tLulNev7fPiqfaxouNBnNObZqy0Q673pviJzVLD5dsXF2kF7rEyik8Dn8WI+yg+i9IUJ47gDgzinD/4yQZ/fqWHjUAKwygp6Sc5Ek7KQZ8ABFVDVhuqwaipOnQCUJV+UgWu1PQmObXAoTSCv3R+jrRQtLSHMxRErkNSKBaaPhjD5d0pm/0pSkF9FkWXpWapEZIWlRMQUpJkOa4F00wjLItnlpq0ApvvXdmnEzlcWKqhlWGY5Ly9EWOMZqHRQGK4uhezO0wRVs585PHMSotWzeWt9SE132aSFEwKRdeq1H+UqjbCOLaNawucQqC1xgIsYYPR9DOFY4vDMsfPbg5Z709ZboZcWHSJM83+NEWI2+/j7ZGxzVfP+MRZVXq6lxO4tYgp5WY/4fxCxDcvdKm71qHW/0HJ6biG65Ou138WI+6j+CyUz+7EZ+POfAq418N5aXfM5d0xdc+mXxoavkuSJUzzE3bQJwVDVdMXBeyXivKOOlKmZkNZonIWTc/hpbNtbCkJHIHrSG7ux/i+JPItPEuS5CWFNti2oBZYLDZChklBO7Dp1APe2hggBbR8gdKSUsFc3SH0HEZpybX+lPPdCKUNkeuw2Z+Sl5ppXrJQ87AkxLEiLhS+a2EhaAQOk6ygP8mQAhwhSZWhVBrPlpXDc2y0AaM1ZQEIgy4NrXrAQsNjnBakeckkVUzzkrrvMslKOpFD4FkkhSLwLJ5p1Nka3K7b+LCR8dEMYpoXlLrkTy/1WKy5BL5Dlpe8szni5TPHyyiOHlMZQ2+SMdjMee1qn195bulD8hUfFT6LEfed+LTLZ3fiS+kI7tVM6tZc/u83bvLnV/fIC40WAt+W5PpWffkEnxzSWQf1YBLXUPUMNFWjNvAESWEY5jnX98ZcUoInFyKyQlJoxWCsWKx7DJKcG/2EsixZbAS0I49CGeqBzX5a4jgFK+0Q3xK8vztBa4PShqIUOKHAswRN3+H8Qp04LdFKMUwLskKzWHOZ5iXvb40otUYKgefYRJ6F59jV7Ela4FqC2LIolcYWoErNOIPA1USuREtBK3KZJIrFtsupTkShISlKnlmqM00L/uT9XRYaPr1JQt13OHfEkMZpSZzfHqocjYzHac56P2Z/klEPnLsyfo5mENWt9/AAACAASURBVL1pzv60wJGSuNC0QgslFUvN8KEM2I9u9Hl/a8TVfkLDc1jr+JQK/vCtTf7GK2c+lij4sxhxf9bxpXQEd2smbQxj/uBnmzhSYLQh1xoQ9JMcS8Bcw2Y0LZmeSEl84tBUjeGsvMWuSTSIzNAKLWwpqbsOO+OUP3p7GyEErcBBChgmikJrIsdirDXN0GOpGVAozVs3+8SZYtsYluoeV/ZjkrQkCmxCx2JzmFXn9mxqnsP2OGO56WEj+M7FRd7ZmpDkJZuDlFIp1vsxkWcTujad0GUYF4ymGYPU0PCgFlq4toVvuyitGKcFkWfT8F0agcPLZ1pc34u5tDshLhQN3+GpxQauLbmxH7MqIuq+Qzv0ubI3Rl7eY5qUlBgCx+LbFxduu28HkfEozbm2N8GSFo5lsVQP78qiOZpBTNMCKSQ1z2KaqRkryWKYHmf5ZYVBnPOj6/0qgwkchJBc30841Q7IS/FQzduHLS991iLuzzq+lItp7jZE9u7WEEdIbClxbItRUjCMcwaJxgDDEyfwqcEVUM6yMk310NZdWKz7eLZNzZGsD2K2RinjNEcpReRaRL5NaTQYjW0JmkGl2T+IMzYGCaNEcXauxkLdY2uco7TBcwU7g4L1fobQoLRme5RRKI0lYBQX/Gh9yGvXBgzjAscW1Hybds3DtS3AkBWKK3tTrvdjjKga02kBhVI0XElSlGhtmGvYrLZCvn6+y6+9fIpu5LM7zlDGUHMEzcAB4OpejBSCmm+RF4p25BLYNu9tj1FGYxnIlGKSlLcNJR1ExjvjFKUFkW/zzEqDhaZ/1wUyBxkEQOg5aGOYpCWuLUnzEm0MTf/4UfWl3YqplBuD60hcV+JZFjf7Ka3IuSfr6E58Fgewvmj4UmYEd2sm7Y1zGr7NlV5M4FosNgLWewmpqaZDT5hCny48G0Yzpo1nw2LdIylLytLg2h7LzYCs0AyTSiLcCEkndOnUPEJH4NoWk6zkB5f3KZUmzguENCgNZ+cjCgV7Y8XeROM5Ve+hLGF7VDJXsyhKxTAp6JWK3XHKKC04OxdSloK81KSFRmvFIAc7U1ii+v1pWV1vs2ZhNORK0A4dFhsRoyRDG01eaKZpzg+v9/Fci1NeyCSHZBDTiVzSvGSxGxK4FpYlmav7rHUK/GnGWjvEdy0avkOuzYei7FbostoKaa+4SHnreb9br+Bobb0buRgNe9MMX8CNfowtJb4r71pWuhsmacm5+YgrvQmTVBH51RKdUVYyF/kfat7er2/3WaaDfhHwpXQEd2smBa5NXGi01oSuQz2oegejOGNwEnh8qjCmyggsqoxAaxikOUVhcO0q8t8ZZ8R5iS2qxesLTY8iL9kcTPE9l5ZnEdqSuZrHNC/ItebcXERaGi5vjZG2ZHeSow04tiTybAql2RmXbI0VNd8gjGF/miOQ9CcJoS3JTaXVkxeKbiNgf5xiBIwSgyOqDWE1v9KY8CwJwvDsSovIc3GtGvtJSm+a8cHWEGUM7cjjVCfESMHeKGN/knOqG/GdZ5cr9hPw+rV9EHB+vsaFhUq7R2vNMCnuGmXfGfiM0pxL2xOyUt1mcI/W1mueyygteHmtw940RQqB0oqFun/s4ayab6MUfOP8HN//YI9BrHGl4HQ7QIjb9w/cbwjss04H/SLgS+kI7tZM+o2vrfE//cllpBFM85ytcc5gkqFPUoFPHfZMljktZzMEfjWlOyir6H9rMKFQBseycJ2qDv7+5pCsNDi25MVTHi+f7fB//fAm83WXr7RbJLlGac0H2yM2hgmd0EPNdKOU0cR5idLVF0QDpTaUmmovr2OxPlDsTCs2kGtJPMdCa0GnHqCMIXAVRpvKqJUGpSumkC0lSa5Ybtn0xhmutPAsxSgvaQUOS82AeuiSFZpXn+gSp4qnVxpobYizqqQpAaUVrbDaixHnJTd6U6ZZied8OGI/GvjkSvHT9RHGKF441TossxwY9sPa+plKcO7/+MFV+pOChYbLC6c6LDVD4qw8VjR+cN5W4PKXn13k8t6UwSTj4nKDF0+3b7vG+0X9n3U66BcBX9o7ebdm0i9cGPFPXrvBlV7MYNYQOIk5Phn4EnJ994nj2ECcQk1WQm+lriQYXFtSoskLAwgyUw2HaaMZZwatDTXXZ6Hms9DwWWsHBI7k3FyNaVbyr9/fmTUy3WriV4LUlSpobmlqrkXgVWWihbpP4EriQhxSSCPfBgN7k5xO5OJYksE0QxmBb0kGWYHCEDgSW1rUA5uVZkihNb1xTs13iPyqGduNPE51I/bjglGm2J8kvHl9nwvzEd/9yvJhieRgB0A9cHlnc4TvTCkKjRCC1bZ314j9aODzxuV9RmlBt+axMcxYbcvDfsGdQ5VXdid0Qo8nF+qUGm72E2q+Tc21jxWNHz2vKgzPrTTu2eS9X9T/4qn2Z54O+nnHl9YR3IlBnBM6Ns26h+jFuE41zZqfDA987BBU5Z5AwvQ+2hNlNXvFMDXEWUbNBc+x8B2bhbpHpjSbg0oaPFeG+cjm7HyN3jTj91+7jtCGy7sZma7om1d3JyS5wpYCz5a0I4eNYUGuoeNV+wJKBac7EZ4jGU9z4rxkVJrZdSuiwCd0BfONgLQo0LHAEpqa61AoTW9S0IkcmoHHmW6NtXbAX1ztk+Ypz640KBRkRnN+LmIvLhgmJWiNMRqloRH4fP/yHsuNYLabEow2vHKmy/XelO9f6ZHlihdOt6n5Lh9sj7k5iPmDn23x1EKNJxbrvHSqir4vzNf5k/f3uDBXw3MsBknOv3hrSDd08JzbmTgHEXon8iiVOdwvfLOfcKYT3Tcaf5QBsvtF/Sd00I8fJ45ghjdv9BkkBbuDDKNLQleiqprAp31pXxjM7BhwSwDOtirJ5riAta7Ptb20mh+4C0pTSTOHswZ+rGC55tCOXDzHYpwWNAKXc92Aq/2EQVLiOpL9SUo/riYQhkmJ2hzh2VCWmrQo8RyH4SgDDJEDSQGZhtCSPLnWoFtz8W2Ln0wyhDGc6YbkpWGYZOxPMpYaPhIDRrLa8GhFHpd2ppzq1nCp3uRK2+d0J0IKwcXlBld2J3ywO6UTukhjSArFJCmIswLfsQk8m2c6NRabHj9ZH5EvGl463eLN6wOmecmLp1t8/fwc0pLkRUVhbfgO6/2Y9f0p41QhtOHq7pStfsKvvrBSsXgCFyEkSaHZGqbYQjJOSxqBd1smcRChN0OHP7vcwxhDzZHYlnWoJno3PKrg24OGwE7ooB8vThwBM77zjT7zNQ/QGCGQCHyHk81jHxN8uyq5eHblEHwHtBGVTMLMEbgC8iNOoaSK0J3ZghYp4OJyg/PzdS7vjQkcm944ZT9VFIVCCsnbNwe4jk3kWiS5JnQtepOc0LFoBjbjJCMrcnJV7Z0OPUndl3iOzWLDoxHYfPe5ZV672qcZOMw3Ai50I2xbcHl3QpqXnJ+v4To2r13ZZ7Xps9QO+OZTCyhl2Bml/PBqj4Zr059kRL6N0prVdsDPbo5oRQ6hK3jj2oD1/SmdyMVzJGUpSQrF1jDBmklSSykxAlqBzc1+Am3YHSV8sDPBkgLblgzigtGs/7ExTGiHLq9d77PUDhDAhfmQ93ambI8SHGFhhGaQaL61WMMW8rBEVPNtdsYpN/sxp1ohgySnN86wZcG5+do9jfqjMnxOov5PFyeOgBnfOXRJC4PrWNiWJMkURXlryfgJHh8HNl0ARlfLWIyuWEH1CLJSUfchiWevN7fvE5BAI7DJ8hIpoRnYWLZFqUoEAoEm9Gw2himlMgS2YHuYEgU23ahBnCtCVxI6Fv0kZb4eUu7HJKk51OmRwqIR2kxzhWNV7CGlYanh0wltGqHL9V7CxrCKEDzbQkpJN/L47vNLNHwbISTDuOCZpTpnuhGTPOe9nTFZriiVxhjB5jhlpemRZIrrvZhprrAti2Fa4Fg2ZxeCqhE+TGiFDjd61XVjwBjB3iitovbIIy/GRK7g6t6E7UFMpqAVOgymKf04JykUqlT81a+dwrFtnlmqs74/RctKgvuppToN30VrfVj7vzBf53evXsezJM3QJnQl7dDlTCeiN83uKQ/xOAyfk6j/08OJI6B6eC/MR/zRWzuc6UTsTVKmqWImJ3+CjxgNt6Jo1mda/0Zr6o6L57kIoKtzemnlAAIJ7mybl+9CzbPoRB5Ka0LboihKdqdwsx/jWhalVlhCgxRoIwg8m27gkZXVkJllVY5jkCiUThAYbFlJU2MMloDhtMCyme0XcNDAU4t1ru5PyWfTzQs1n/1pxt4456c3h9jSYqnl048LOjUPz5K8vz3BtSXXdmOSTJGWilFaUChDXhZsDGA4M5zdyGO57rI+TNmbpoxvFESexTgpeGKxQSt0ubw7xrIkUkCcKS6EDkJYLDc9HNtiZ5IwyEoWaz6TrCQpDC3fwliaa/sxm/2EKHBYrPs8tVQnyathyaeWKqN+lInTCl3WWgHTvGScKULX4um56IGN4hOGz+cTJ58Ot/jO802PKLNYqPkM4xLHrhgp45OG8QPh8mCGlaTavdutu3iWzSQvsbXBkhb10KZT86l5IVd2p0x3p0gDFxYChmlJnJUIS5AqhSMFwzgndW3WZMh8zefS1oTdaUqaKzxL0g19hDC4liRXisu7UxbqHhhFrArAoE3l5pUGrausYJQU1AKbbhTQDF2WmgHrvQmiG+FYkj9+e4thnJEUJY5t0fAcPFuy3p+w0PQASAuFMQatq4nfduThWoLrfYVjWRRlgWtZLDQqrn6pNJYQZEpjENQ8mzhXTFJNqhT1wKHmOyR5yfrWGNeR1H2H/jRnvhHwS88ucHM/ZaXlc70X048zCmVoBC6Z1pQGXGP4YG/CV9eqzXvVnMCUC3MNam4lwX0nE2ep5aMUh2UegDgr72vUH1fw7bO8WeyLjPs6AiHEmPsM1RpjGh/5FX0KOHh4I8+h5TssNnzy3LDSDXjzeh+Z5AxPeKT3xXEXzbgObA1yIq/EsSUGQ5xphID5huFKLwYhaAeSJNfsTku6octXT7fJleFmP+Hq3oRO5LLWiXCkxfcv7ZHkBe3Qo3BLCmNQGDq+wzQt6U0LsqKk5oVkpcbVkvkoYHeS4kgL21NMSrBNtWcYVc0ROLPNZ3Xf5urulLmaR5IX9OOcUmmErPSAar7NzjTnxzcGrLQq+YZnV5pYFnzvgz3akcMwKagHNkmu8G3BOK+orsYUKKVxLMnWJKPhO4S2RaY0mdIsOTbKGG72Y24MEgIhqEcBz661mKYFa+2AeuBSdx3e357wzGKdd7YnYEq01mRaI2ZU2439GEcKXn3qSb52pntodO9Vkz9q1Iuy5NJuTD/JeXmtdc/p4sep9X/WN4t9kXFfR2CMqQMIIf4+sAX8b1Ql3t8E6vf51c807hZ1vHymgyX6/HB9gGtLaoHk/e0x46w4IQ4dA0fr+JrbeysOVTShgTSDxICKNa6nqfs2qjRs9As2+j0aHoSBi+fYLDc9Sq1ZqHm0Qr/aVCYl07warFpqBXi2RV5oslLRtiRLjYhr+1PKUnFlN2Ol5XO6E5Lliv2kxJeC51ca3BikCOlTcx36SYYd50gB/UmBbVmcnoswBtb7Mf1pgRSG59eatCMfKST1oBKl600ypqkCUw2nre9P0fRQapW/9sop3t0aMZgWSAFZoelNskqB1JIs1n0KVUlMNEKHmptjAeOspFPzcApNJ7LZGeWcn4+4MBdRlDBJC5bqPpfSkve3J7x0uoUlJe2ayy9fXKI0m+yMUuJMoYWg7josNVw0klGiePNGn19+evGBNfkDo/6j631+dKNPq+bxtTNtXMu6r4F+1Fr/iZTEp4fjis79ijHmvzPGjI0xI2PMPwD++sd5YR8X7iVgBfCtZxb5j189x1NLDXzPZpgWSAzxSWnonvAB78jP4sifA0hRPWg1DxznFuMHA9O4PHQSORze6zPdiBfPtIlcm71Jztm5iPPzNSZZyWLNxbGs2fyBBqkpjcBzJLnS+LZFXFSN2UlhyIuSpU7EStMnV6ZaX2kMzcBhue0TOjadmSppM7ApjWG9N+Xy3rRqWFvVVPFPbw6YCy2MgN1xTpqX7I0SNoYxvbggKTWWFLiWxY/X+wzinFcvzFeRfcMnKUritKBQFWuoHxc8t9LklXMdzs6HnGqF+K7NaivgK6tNnl9p0BsXBPZsgY2A0mhWWtUuha+sNSmUnjWES9CGhbrPrz6/wkonYj8pqDuSpYaHMpXG0bk5nw+2bxebux9aoUstsPnGhXm+erpDK/Sq6eq7iNY9Lu4mBuk78tjidCd4dBy3R6CEEL8J/GOq4O4/oJKG/9zh0u4YZQzXelPiQhE6Fu3o1mRlK3R5YrHOzijhrY0RO+mJ4NxR+LMGb8OH/dm9cWYS0XDroTj6cJQGQgtsIZgWBldAI7QolCLOwLWh4VXDe4Er6UQelhSkuWK+7pIreOVcFRHuTBJ6o4xBUqCBJNf4to0JBItNn7ysSiGjpODCfI1ppii0IXIlddcFBGmuCTzJYt2jHxeMs4LIt5ECar6DLWGaa6aZJm4WIJhJWhdIIah7NpPZytK0BFMqmoHNQsNHGbi4UCdXhj98a4uvnmmz2gr40w92WWkG1ByL9VHKxiChEzrYVsS5+TrjtEArQdmb8Nxqk9PdkJ1Rxg+v7yOkw09v9smUohF4tMPKOTq2YGeSEBclk6zguaU2oWcTejZ/7atr7I8SppkCKVhtVHMMAoiLhzOsn5TWz0mj+dPDce/wfwj81uyPAf509m+fO2wNM7YGMZHnUPcs8tJwbW9KVt4y99NMsTfO0LqSEEZ/Tr3eR4yDKN+zIc2rkk9JJctwL3izX5wqkNLQDuVMqdOQ5mBJsGaTvVFgkeYlwzij7ln04wLHEpyfCw91dp5cqHNjP+bJxRrGGPqTktV2yJNLdbZHKTW3mjKeq7ucn6/zg8t79KZZJVxnDHXPphUICqWIPAetDReX6mwOEtLCYAmB61hM8oKaV9Xyz89FBI7k/S3De9tTnlmuc74bcWlnTKvmMJgUZIUhLw3dmse4VLRcizev9/EcC6U0Tc/BDSDwLM4vNxhOUjaHKf/y3R3yXPPNp+f5+XNdLu9NeONqH2WmtEKX59ZaXN2dYIxGa8gLxaWtMRu9hGmpWGuHOELQG2f82XQX35OstEIavssvPrXIW5sjvnamg+tI8kLTn6Y8u9p6qM/9kzLQn4fNYl9UHOuTNMZcBf7dj/dSPhkMkwxLysORed+tWB7DJDvsHfzg0h5X9mJcW2DMiRM4gARagaRT87jeS5CGSm75Lo4gFLMegYRWaJHmitC1WWoFlEqzN04pkur3bQm10KETeiR5pakfF5pmJPjmhTmeXW3w040hvUlOt+byN185xfX9mN4k5/yCz1LdB0swTqup3LVWSDOyubmfooGFmoc2Ve39XDdkLvJBwHeeXeKP3trmex/sMEwLfFuy0AwotcayJNMkw7MkvmNzdj6iHrjsTzP6k4ylVkC37tGMXCI3RSBoBjaTJCdXCh26FKXGtSSuaxEGDq9d7tGpeSw1IsZWyVq7xs4oZjvOuLGfELk2Tyw0WGmGh4vhp1nOu1uapWaEbcHetGRjlCHIOL9Q53Q3ZJiUbA4zLAH/7082+OtfP03DdznTrTFOC3KlSIoCS0rWujVePNV+qM/9kzLQJ0Nlnx6O5QiEEE8B/wBYNMY8L4R4Afg1Y8x/87Fe3ceApu+ylaWkhcK1BLmq1hJawjpkLDiW4GZ/yiTXX87NPfdBUmjqvks9yJgkGiMBVWUH+Uy906MqB0V+RVP07KrMU23nsmg0PFxpUfdzxkmJ61iUZck4FWCgU3N5YbXBL11c4mw34sc3B5Qz5dEru1Nu9BJ+4XyXVy/Mc2V3QuQ5FGVJO/B4Z2tIYElWmk1OdQI6Wy5xrpiLfF461cKWkv405fRcjSu7E76y1uKZpRr/y/euUGrB04s1CgXrg5hJkpMVijPdoFoM4zl89ytLbI0ynlio8+MbfSLfYbXp89ONMXFesZ+UMry3PeGJuYDNYcJC3edUO+LP1C7DJKc3TSjKakNZUmjKUYY2hvV+wsXAva3sMoxLupGHEIJCG5YbFn1b0J/mRJ4gLQ29SUHgWGz2J/TjnD98a5OXVjs0Aptfe3mN3jR7LDrmJ2mgT4bKPh0cN7f7H4C/B/z3AMaYHwsh/hHwuXMESy0f37HYj/PDQZmzcxHb44TIc1Bac2M/xrEEAsjumG79MkNRLYcZJjmtwMWYgrzUTHKDFBC6YEtJqTV5ARYCDShT1e87oc983aNd83hirs5qK+D7V3rYUnJlr2Jx2Zbk587P8/xak5dOtfnR9T4392Mcy6IXV+fbGU3Zm6YEjs1Xz7TxHYv3dmallJUm26OM16/1efFUm//sl5/kJzeH9KcZhVJoY1jr1qi5NoFb1dPxbJ5ZafHe1ojr+zEXFmp8/VyHduBQolFG4EnB08t14qzEs6ZcXGoyTQu2hymB5/Krzy9yeTdmd5yijOaJuZDlpo9WcK034Uy3xmorYGeS0RtXDqZT89E6wSDZHCTktSq1Olp2KTXUPBvXtnBsSTHbRObOdCf2JxkGTa4UrmvTDFzy3PD6tR5/6xcvcHau9pEsiT8x0F9sHNcRhMaYHwhxlAvy6LZRCNEC/kfgeaqew98yxvzZox7vYXBhvs4P433OdKLb0tymX0Vir18bEpeGwHfIlUICky+JF7ibw/NEpQlUUJWGHCr9+0la4kqBodLoKU0lE73aDtgepSilKI1h3hXkGCxhU5RV4zbLFY3A5o31AUvNgBv7Me3I51THph1VE61L9YBLu2Pe3x7T9F22JynIqrwT2BZ5rnCFxZtX+5xbqBM4Fr5r4doermNzcamBZcHZudqhhPPRqPhHN/q3MVROtUNqrsXWOKdb9wldi29c6LI9yri41Dh8Viwh+M5zS/SmGZ5ts9yqNoQJIfhL7Ygb+xOSTNNPc964MaQZOkSORVGaqp5vS4pSEzrVTmXHtpir+RTaME6yDw12zdXcaro3zXGlRWE0ri053Q0PtYXyIicvwbIsvvnkAt3IYW+c31cK4gQnOIrjOoI9IcQFZgQaIcRvAJuPcd7fAv6ZMeY3hBAuED7GsR4K90pzL+2OSQvNej+m6VkMHYsBAiENngA1M4ZfZNyt55vNeug2VZM48i2SXGEwhL7H6ZrDlV6MNIbFhk/gOYRuST10AUOnXlEyJ3HJ1iRjTmmmaUFvkiEEXJgLubSj8WzBSsvHEoJ3tsdcWIhIChBCIIQhzSt1TteSGFnJTHfqLvuTnOv7U55bqWYbc2UIXeu28srdotk7G6Br7YC9ScrZuZCX1lqHAcKLp9v0ptmHSiJn52q3DSL6jmRnnPLHb0+oBw69UUpelPRGitS3uLwX8/LpFq9emOMHV3rsjlO6NZ9fuNBFCsl6bwLSxbLg5TMdBnHO9y5VpaTBNMezBblW1DybU52Qs3M1Alvyr9/bZr1f0PRsfuGJOebrHmle4tqCH17rn0zonuBYEMY8mBwphDgP/EPgVaAPXAF+0xhz7aFPKEQD+BFw3hzn5MArr7xiXnvttYc91UNhEOf8f+/u8E/eWKc/zSpZ4LwaBBpMShSVQFryBRkuu3Pgq+TWcvi7IbBgvuGyUPfZHaUgDHXfZbHuM4pzlISO73Jxtckb1/ZJ8pJXL8wjpGCcldzYm2DbNt9+eoGNQUxaaG4MYgSGwHFQxuA7kvmoGrJaafs8t9pkmpT8bHPEMC24tD2iVFVWsNb2eWKhxt64QGnNxeUm0hIkueLp5Tq2kFgWt03QHjWKwG1GPC00W+OEludgBMc2nkeP/d72mHc3R2SlwXeqmv76fkJRalbbPq+c7fD8apsf3+gz1/AoSnMbhbkdVQ7r6t6Ef/rDddqBS8232B5mXOlP+bkzHS4s1A6v/9LumK1Byp9f2WOpEbA0o8/uTQoKpejWXF461b6tuXviDL5cEEK8box55UGvO25GcM0Y8x0hRARIY8zjTJKcB3aB3xFCvAi8DvxdY8z06IuEEH8b+NsAp0+ffozTPQSkqCJOY+hGHp4t6U1zNJUh9COH3qQg/ZzTiCIbItdinCq0Bs+Fhm+xNVJoqofCn80GHGZBGlp+tUi9NIayLKm7DqU2nJqP6I1ShmnBJFUsN3wypYlzxXwj4HQnIk4LOqGL71pkpSHyLZYbHm9cH/LV0wF7o5R+XlJzLZYaHv04PzR4w6Qg2y3ZGVWRcTdyqYcuG/2c59fqJJlib5LSqnk8OZNTPjB895MtuDMz/NaTC49lKG/2Yk53Q97aGBHYDpErCeyqAf7qE3MoU+n2nJuvcWlnwkun27eVJw/e7/cu7dIOXFpRdS2rnZDIsym1vi2zOVgp+dxqkz98a5O9cU4rqsgOlhA8uVhHSnkyoXuCB+K4juCKEOKfAb8L/PFHcM6vAn/HGPPnQojfAv4L4L8++iJjzD+kykJ45ZVXHnmm67giVpd2xyzWfV463WZj4JIUhiQvWWgEbAxiRmnJfOSilCIrNf30Ua/o08FBd8cGVto+pTZMUkVBRfWMXBc5W77gSHBsgWNBkpkqG5IQ5wWuJfBtSUGlzd8KHfJCk6jKIL14ukVvkrE+iDndrvj3Z7oRr1/p0a1XM8i+IymUIXBsFmoermURBQ5OUa1s9ByHJ5bCw8/pF59eYJwXfONCl/X9mHrg0PYd/LpFnCl+4+tVoHDwOVsuh9Hv69d695UteBzDeKeTUUBvlLFY95lkirIwFMowV/OwpYU3o4TO1z3SQmFZ3JWF05vkLM8W1R+g5ltsDu/+0J2dq/E3Xjlz+P5HScGZbo31fkKcTwhdi+WmjypORiNPcHcc1xE8Dfw7wH8O/LYQ4v8B/rEx5k8e4ZzrwLox5s9nP/+fVI7gI8fDiFgdTE/ONVxcRzJKC+KsRBv49sUF/vjtX+GfUQAAIABJREFULdJCk/YqRoegZP9z5Aw8WW3dciU0Z9LKSVrQtCQt32Z0ZIw/02Byg2OB7UDHs7BsgUHguQ7zvk3ku0gqtc5SazqBy/m5iLRQSCF49dwc/SRje5TxxFKdX3xygeuDmLSopoXf35mS54qXzjQQRtAKazy/1sC1LKZZwUtHuO6t0GW1FfL8SotpVlYGrlD4lqAWuIef5d2M+kc9FXs0sLg5iFmsB4dO5sJCjXc3R3i2oB3ZSCmJs4Ju5JEUJc/MVX2MtNAstfx7OqFuzWWSKlqRdeR9VKWee+FoH0QY+NnmqNpt7FnkyvCT9SHPLT+aRuSJIugXH8cdKEuA3wN+TwjRpmr2/isqavdDwRizJYS4IYR42hjzLvBvAG897HGOgzdv9FnvJ2gSQtditR3cdVE33GoerrVD3klHLDcC9Gxv7Eoz4O9+52l+/7UbYGBzlDBNPl9Uok6tMkydwGE/zhlOM0oDLdeeGXiLdt0wnpbEGlJdURebPtQDh7PzEe3Q5ZnlFkmm2I0T0lTh2ILlhs+72xP++VtbNEKXC3M1ar5NN/K5sFCv6t7RhA/2xry1PsC2JO3ARoQOZ7oNap6FgWqe40g0f4BBnHNzEPPuxoh23WO1E9DwXeKsPBy8uhceNBX7MEbuzsDinc0RSTYl8CwavstTS3Umac72MGO+7jOIc5aaVdZ0qhMS3UPu+U68emGef/rD9dn1W0xSRT/J+fVn1o71WZuD/5qj/2AeSSrlRBH0y4Fjz4gLIX4J+PeAfxP4C+BvPsZ5/w7wv88YQ5eB/+QxjnVXHF0/GTkWeal5d3PMk4u1u6bIRxkgTy3WuLQ7pR/nvHiqfbj8+0Y/pe5Z9N7NCX2b/udks31kQeQ6PLvcwHerfbUf7E4YT3OcWTO37tl0miF5rWSQ5OwMS4yBTs3j5TMdDIKGZ1cDYUHV2NwYxBSlph64vHiqwQ+vDUmTkt44I3As1vsxv/7yGoM458pupaHTG1c6QQLBd59feiC98cAQLdR9kmzKNC15++aIs3MRUvDA6db7TcU+rJG7Ux2zE3lMs5Kb/YTGskvDd7m43KJTS1hthbc1pg96EcKAFIIf3ejf0/Gcnavx6y+v8b1Lu2wOU7o1l19/Zu34VFABL6w22Rhm1ayMY/HCapPymJ7gflnPSb/hi4njThZfAd6kygr+3p2N3YeFMeZN4IGd7MfBwfpJKSRSSnxXAiU/uzmiHlj8q3e3b/siHqWVJkVV777zS7rU9Pj+pZKz3YifbZQf+xrLxxlki2yoe5LId3l6sUEncgg8i6RQtCMfR0riQnFzP2GYxORSY4eSTj3ixdMdMIatYcpyMyBXmm7NxrZswBCnBTcHMe9sjvFsydfPz5GWgvNLNYaTjEFc0IlKXjpTUS970+zQgC41K6ZwnJXH4rkfNb6Ra7PeT9ifZmyPE/6tr6w+MCq931Tsg/oHd+LOMtNaO+CtjSH9cYZe1KSFRgo+dF2DWRlqklZO4/xCxELdv6/jeZxBsINFSxdXbvUZ4qzEP0b+/qCsBz4ewbkTfLp4oCMQQljA7xhj/v4ncD0fGQ7WT763PQHAncnZvr055K+8uHLXCPBB05PdyOP9nSlN3yYv1GED9si+9YeCxf11jCTH25nszP4uZ9cx58NiIySaLU1Z64QorWkHDtNMo7RioeGxOcw4Ox9RlCVZqUkLRcu32BlXG646gcOzay20Mry9OWCh6bA/LVgfxDR8h9VWwNYwYXOQUChNt+bS9GzGacl8M2Ch7h8ajEet0x81vvXA5WJwa7fucUsT9/pcH7Z/cGeZqR64nJmL2Bmn95ReOGpYp3mBa8tDXaF6UL3uo46uH0cb6EFZD5wogn4R8cBP0xijhBDfBj5XjuAgKnpmucF6P2acFmyPUp5ZbhxGpQ+b5vamGWudgGu7UzSCyIWsuDV09SA4QOTCMK9u/IMG1EoqZ/EgRyABy4azTY9Cw5luDaU0RhjaoYcjJVLCxjDDFmBJC0uKagp4kLLaqZHkBY5jVRpBlqAoNbYlULqShvYcm7rnsDtJeWG1ie/avLMxJsqr5vC0UNRV1ai0pSR0rdsMxqOqVwoDb64PMIbDPo8t5EdiiO7WP9gZp+yM0w9ljHB3A2sJcd/M5KhhTQpDI7DJy7vrCsFH05h9HG2g42Q9J4qgXzwc99v0PSHEf0tFHz0sCxlj3vhYruojwNGa/9OLDdJCM4gLnl9t3va6h0lzJ2nJuU7I/rigHZb0RiXJQ6QCrUAQuDaFLiiPWfM5cBZHs46DLMGlEnYLXMlqPWSqNU93I+brATf6MduDhJUOZKpkpR3gWhaFqqLS/jTHdQSBK1hpNyiUphna7I4yHFvSLhSRa7MzTlhuBJzqhJRKsTfOOTcXkeaKRmBh2yHjaY4tYDzNyLVhte3TCd3bDMajRKiDOGeQFUzTSgKkLBXf/6CHJeGJhTqv03ssBsudhn1nnPKTm0NeWG3dM2N8WAN71LCGbsXgcW3BOKtywaOOB1OxsBabwWM3Zh9VG+hRsp4TfP5xXEfw6uzvo1mBAf7yR3s5Hx3u+qVda+HeQTO5MzK9X0RW821sS/LCWoNBkjOMLbxSUczqOw+q6ZfGICyLbz7RYJiU/PjacMbc/zAcqmUowgCy4vaPZwc/HPpyqtT9dLfGUtPj5n5CpqFQ1XauVuRwcy/Gm69hCcnPne8wjEsi3+Kn6332JjmLzZAXVpuMs5JTnZBpVvLO1pidYbXFaxQXtAKXZ5bqTPOyEk2bZLMmchsM/Oh6n61hSrfuEroOS02fVuTcdu8eJUK9tDtmqR4wH3ms9xP2Jjn7k5RT3YhTnfCxGSx3PiM745QXVlssNgPg7hnjwxrYo4Z1tR3w7uaY/bxkkub8i0nG+ijhW+cXaIcub14fzNZwWlxLC+JcIQRYos+3nll86Pf3KHiUrOcEn38clz767Y/7Qj4O3PmlPajXwt0j0wexSC7M13ntap9hmvHSqSbdusfb6wP8UhFn1Zc9zTXT8havVlEJtwUutMLKeO4MYvamKZYFUlXR/p29gsClWkRSQuhAWkAgoF2vJkcH07xSRy2qAbf3tyc8NR8RBQ5LzYCdUcZiOwBRqVe+uzkiKRTPLjX41tOL/PLTtxuW16/1SIuKAfTMUsV0eWtjSCt0WG65vL89oZ/kvLDcRknDUj04vIdPLzf4979x9r6G4lEi1INoWkqbi4HL2xtDmn6LwpiPZGL2Tqff9F3m695tr3nUxujBsbeGGZv9mHPzNebrHp3Q4c82Bix1QtJccb4T0Ysz5nIXM9vN8L0rezy92KDuWWSF4ofrA1443f5EDPHhnuIbfX68PibOSwLXJs41Sy3vZIbgC4pjye0LIRaFEL8thPiD2c/PCiH+04/30j56HDzkBxOdBwJfBw/20XpuZWhu383aCl1+5bkltkYpb14fMElLlho+C3Wfbs3BtSSLzcqQHGQGLtXylch36EQOTd9iNy7Q2hB6gpmc/23wBOQ5lCUstWy6oYdrQ+BBw7VoBC6NwKYZOXRrPs8tN1huBvRihRSSUVqy1PLZGKbsjHKEEIS+xfp+zCArDlksB7i6N+GNa33+0Q+u8rs/uMIb13sUhWKtHfDkYo33Nicg4Wtn2sw3fYSGJC/veg8/ShxE0weIC4UQlajcAR51p+3ddlff7CfsjrPbXvcojdGjxz7VDjg7H3FpZ8KN/ZhpUfKd55f5zsVlllsBS62AwJHc7CeEjkVvnIEG37GQUiKEpB24H/l+4AdBa8P5uTo1z8GRkq3hlP60el93Pj8n+PzjuE/4/wz8DvBfzX5+j6pf8NsfwzV9rLhfZHocFkkrdKl7NqbhEzgW2yODwuDaPnuTatTYl1VJx3XBtQSWJZGALS0GccFaK2AwzSiVIXQK0hJyU5WDLFmVfBwLWlFA4FgYAzWlsIQgVppIGTpRgBSVTDFCMN90ubYzJSs0BkNk25QaTrd9lDaErsNcJA/lnQ/uwVGBs2cWarx+rc/lvZhXL3R4brXJ5Z0pzx0plwAsNoNDQbePE3eWKYSBQVLy4ulbtMpHZbDcyY4JPcn5hYgruxPqfiVEtzvOuLI7Ybkd8vq14/cj7jz2UrNaHWlZUEvt23sGRSUrPc4UTy3U+IsrPdqhg9aavDQkhWKl4X2iSqIH139tf1opubo2aa7oxzlnOrWTGYIvII77DZozxvyeEOK/BDDGlEKIz7n02odxnN2sl3bHrDR8Gr6N79oYAVlWsjfNaUUukWPTChxGWYkjBYUylWSyb3FuvoZE4NoSow2b4wzHFtT8qqTUbfg0XBtLwigtOdUNKI2gE7q8vanJckU78virL69yabcarmqEFlobXMfm5y902RnlaA2F0Zxq+nzlVAspJWleadvc6diOCpxdiXOeXm6Sl5okVyw1Qy7tTOhN09scwSfFI7+zhn+mGzJKCmwh0frxGCx3c/oLdZ+sNFgW3NiPj835P86xD+7Z0WdsrR3yzuaItBCEnoUlqz6CZ8nDQbC1VsCl3SmhJz+xyd6D649zRX0mkOQ6crYK9GSG4IuI4zqCqRCiy619BN8Ahh/bVX1KOA7/epKWrHQCJpliFBcYZQhchycilzOdiJ9sDNkeJszVfeYijzgrmBYGXxrmIpe5hs+b1/uEns3ZTjRbOlKgjcKzJKfmQjYGGb6jSXJD6FcG4sJcjVFS0AhdCg22FLQim9V2RJwrdiYppbJ4cqFGt+7xk5tDwkYw0/4xh1o3dzq2owJnaaGIPAvbkuyNZ1r+QbWc/Sg+SR753fo8H8XKxHs5/aWmx9fOdPn/27v34LjO8o7j30d71UorS7IV2/EtweRmWmIHc2loU0qYFChNSq9khgKlnQy0nYHS0oHepu2UaXqZttB7gHagF0qh0KZtKOXSEqCE4sS54qSJwE5sHFuxJXtXq70//eOc3axlWVpLq12tzu8zo9Hq7NHu82q1+5zznvd93ns5xUQ2vawZtYsdULT+jw0lg7UFJqdmmUimiMXgln3bm8tvphMDPPDUDO41rti8oWuVRJvxJ4MZ+elksPD9/CHBsn60+4q+A7gT2G1mXwYmgB9etah6pJ3hgcPpONVamtlSIejfTQ1w4JvTnDwbjKfHg/LLw2aMZRI8f/sIuVKNYtnZt2ucVGKA+4+cJl+sM5ZJsCGT5PjMHCPpOrW6k5urUvU68ViMJ0/nmRhOU6tU2TCc5rJsmhdeNk42HWcim+Kho2dwh4lsEnfn8OlZNmXTjA0lee2+7Rw+NcsDT00zlkly5eZg5ND8xNZa4CydiFGuOuVqndFM8K+xMZsiV6wGM1PD5HjizBwjg4kFx9p34zXqxAfgUkl/JcXqFnvs+f9jY0NJfuyyjef8/Rorqk0XypSqNZ6/Y5Rs+tn7V/uovBH/xkyKw6fyFCvBJMRdm4Y1h2CdamthGgAzixNUITXgMXfv2oJd3ViYpl2NC4F1h6em8zxy9Cylap16vcbZYo3BVIzdm4Y5mStSc9g9McS3bxtj16ah5iLi/3cix2yxwjP5Mt+YyjNbLBMbGMDMmhcJt4ykKFVrHJueo1SpceXWEW68ZgsvvWKiWR5herbM9GxlwcVNWuNdbIJS6zWCAXMe/Vaecr3KK/ZsYXwozWypwuUTw83YzWGmVDln1FC/Lnqy2N/m3iOnqNVonhEAzSJ37SSiTlXsXGkcy9Uc9TRT5EyxzIZ0SqOG+lC7C9O0u0LZjxAsLZkzs18hWE/gt7o1oWwtJQJ49k1y8Mg0yfgAhVKVQ0+fxetQd8cGjE3DKaq1Ors2DnHF5uw5HwatyeSzjxxneq5KHefScIWpbaMZLtmQbo47N4JJY5dvyjY/dBtH+gMDz3Y/NEovfHfL0NB2PpAOP5PnfyanOJUvk07EuHR0kOFUfMH9e/XB1G2tQ4l7mfDWShzSnzq9QtmvuvvHzOw7ge8Ffh/4c+DFK4ixbzW6J/LFKnGDf3/oaWo1JxUzns6VKdVgPJPg2Ok5iuUa12zNUqtxzkW+fbvGueuhY1TduXLLcFAbKBXjgaemmatUKJQTHJueYzAxQDIRI1esND98J6dybV3Ybre65sUUOOt0ff+1aiVlGtZjHLK+tZsIGiOEvg/4c3f/FzP79dUJqX8Mp+M8cvQsI4NxStVgeF0qFiMVN46cCgqzbcqm+NaZItdsHQWevcjXWGwlRrDgSzocGx8z+L8TsxTCjrfLN2aAenPsfOND99odY0te2F5oiGRrDMtt83LrBvWbTl2PWC9xyPrV1oQy4JiZ/SXBGgR3mVnqIn533do9kWV6rszGoSSDiQFmCmWKlSqZhDE9VyY7GGfbWIZCOcij8yc/DafjbMymmKvUKJZr5IsVThcqlCpVLh1JkRxwDh07y+nZEtvHgkJ5jQ/dC02Og6D75guPneDg4Wkq84oaLXcCVmubZ0vh6m31enOhlUbdfemcmUK5+Vree+SUJnLJqmn3w/xHgU8Dr3T3GWAceOeqRdUnRjNJ9m0fJZWMs200w9YNgwym49Td2DGW4Tmbss1KnHD+kfPuiSwxM3aMD2I4jx0/y2Aizi37drBhKMFIJonFg0lmratbNT50G0eK333V5uYRY+ts2WQyxoPHzpCbe/YDZKVH70vNzpbOWGjms2b1ymq5mFFD1wHfSTCX4MvdrDy6li4Wt9aQOTNXIjYwQK4QjKxJJ4wHn5rBLMam4SQPPDlDsVplz7YRdo4PN1fUml+vvnEx94kTea7ammU0k2q5v8Rjx3M8d/PwkqNP7n70BIenC82SzaPpBE9M5RlKxtm7c5Ripc7TuTlGUwmO54p8YypHPJzEdP3uiWUvhBIV3Vy7t/Wi/NlimWPTc0znSgxn4ioAJ21r92Jxu7WGfg34ELAR2AT8dTh6KFIaR2nTs2WenilQrjj5uSqbRlJMnswzU6iyZ9so28cHOXamwKXjafZcOkK56kyezHP5xPB5b+DWo/q9u86vjpqMxdi7a7R51L/oerpHZ0gYZFMxanXn6Mwcz9mYoVILRhPNlatYHU7PlTn4zdMUK06hVGNmtswnDx7l8DP5Vfvb9btuH6Hni8G8jbPFMo8dz1GrO+PZJLm5qs4MpOPa7SO4Fdjn7kUAM7sduA/4rdUKrJcudOTXrMFyajYYzpeMUazUqNScvTvHmkMo7z1yiktaZqVCe0szrnRlqbHBJNZYmjNM8Sdmy+zdNdqMazAZ5+7HTjCSSZLNJChV6pRqzthgkv+ZnNJZwQWsxoX3xTQuyh+bnmMwGUz2K5ZrjA+lmoUQdQFZOqXdawSHgXTLzylgsuPRrAGLHfk1jtIKlRrJeLBQZTJmFMq1cy7CNvZr1c5F2pX0vwdLc2aaF57r9Tr1mjOTLzWvKTTimpmrkkkOhPFDsVxjOB3jVF5HmRey3Nd0uRoX5adzJeIDwWs0F1aEXc3nlWha9IzAzP6Y4JpACXjEzD4T3vUK4EurHFtPLHbk1xw6GZZiSCehXPPzarCsZIjlSlaWqtXg6i1Zjk7PkSvVMIdrdzxbx74R1+hgUF8+G49RrkE6GSNfrLFxWP3OF9LtYbONg4LjZ+c4lS8zPpTi6i1ZsoNJCqXquhyuK72z1BnBAeBe4D+A24GvAfcQlKP+1OqG1huLHfk1jtLGhhLMlirMzJaZLVabyzI2jrx7McSy8ZyxgQGu2pLlmi0j7Bgf5NqdY+ft89wtWc4WyjyTKzFbrJCKBcNdr989sWrx9btevKajmSSv/vZtXLk5y66NQwylzh85JtIJi44aMrME8B7gzcARgsSxg2Btgl/qVr2hbo4aWqqEwvxRQxvSSbaMps8bQdLNESYLPScernNsnFfeYnIqxxMn8xo1dJF68Zr28nml/3Wk1pCZ/SEwDLzD3XPhthGCEhMFd397h+JdVDcTwXqo7bIe2iAiK9ep4aOvAW5rJAEAdz8LvJWg3MS6sx4mTC215KaISKulrji5L3DK4O41M2tvJlof6vfaLlEpDCcinbHUGcHXzewN8zea2euBR1cnJFmJmUKZYzMFvjI5xaHjM+SKwYf/ei0MJyIrt9Qnw88AnzCzNxOMHnLghcAg8NqVPLGZxQhGJR1z99es5LEk0Lg2sCWboVjOM1us8fVjM+zaNEzMTCtLiciCFk0E7n4MeLGZvRx4HsFAlE+5++c68NxvAw4BIx14LOHcawPp1EBQnyZf52SuqPo0InJBbfUVuPvngc936knNbDvBxeb3EKyHLB3Qem1gJJ1kZGuyuWqZkoCIXEivOo3/CPhF4IKzYszsNuA2gJ07d3YprLWjnbHj8/dxiMyiMSLSOV1fXMbMXgOcdPd7F9vP3e9w9/3uvn9iIlozXtupdLnQPrlilRNn5rRojIhclF6sMvZS4GYzOwz8A/ByM/vbHsSxZrUzD2ChfTZn04xkEn09B0JEuq/rfQbu/m7g3QBm9jLgF9z99d2OYy1rZx7AhfaZq9DXcyBEpPsiv+7wWtSodNlqfl9/O/uIiLSjp4nA3f9bcwjO106lSy0iLyKdojOCNaidekfroSaSiKwN6kdYo9qpd9TvNZFEZG1QIhBANe9FokxdQ9LWvAURWb+UCETrF4hEnBKBLLpOs4isf0oEojkJIhGnRCCakyAScUoEojkJIhGnc38BNCdBJMp0RiAiEnFKBCIiEadEICIScUoEIiIRp0QgIhJxSgQiIhGnRCAiEnFKBCIiEadEICIScUoEIiIRp0QgIhJxSgQiIhGnRCAiEnFKBCIiEadEICIScUoEIiIRp0QgIhJxXV+hzMx2AB8GtgB14A53f2+344iKmUKZyakc+WKV4XSc3RNZLUEpIufoxRlBFfh5d78GeAnwM2a2pwdxrHszhTIHj5ymVoOxTJJaDQ4eOc1Modzr0ERkDel6InD34+5+X3g7BxwCtnU7jiiYnMoxlEqQScUZGBggk4ozlEowOZXrdWgisob09BqBmV0G7AO+usB9t5nZATM7MDU11e3Q1oV8sUo6ce5LnE4MkC9WexSRiKxFPUsEZjYM/BPwdnc/O/9+d7/D3fe7+/6JiYnuB7gODKfjFCv1c7YVK3WG012/NCQia1hPEoGZJQiSwN+5+yd6EUMU7J7IMluqUChVqdfrFEpVZksVdk9kex2aiKwhXU8EZmbAB4FD7v4H3X7+KBnNJNm3a5xYDKYLZWIx2LdrXKOGROQcvegjeCnw48BDZnZ/uO2X3P2uHsSy7o1mkrxg18ZehyEia1jXE4G7fwmwbj+viIgsTFcNJfI06U6iTiUmJNI06U5EiUAiTpPuRJQIJOI06U5EiUAiTpPuRJQIJOI06U5EiUAiTpPuRDR8VEST7iTydEYgIhJxSgQiIhGnRCAiEnFKBCIiEadEICIScUoEIiIRp0QgIhJxSgQiIhGnRCAiEnFKBCIiEadEICIScUoEIiIRp0QgIhJxSgQiIhGnRCAiEnFKBCIiEadEICIScUoEIiIRp0QgIhJxPVmz2MxeCbwXiAEfcPfbexHHQmYKZSancuSLVYbTcXZPZDu2kHk7jz1TKPPgk9M8fjKPu3PF5izX7hzTYuoismq6fkZgZjHgT4FXAXuAW81sT7fjWMhMoczBI6ep1WAsk6RWg4NHTjNTKHflsWcKZb742EkeOX6WTHKATDLO14+f4e7HT3YkBhGRhfSia+hFwBPu/g13LwP/ANzSgzjOMzmVYyiVIJOKMzAwQCYVZyiVYHIq15XHnpzKMV2sMDaUZDCVIJOOM5ZJMZOvdCQGEZGF9CIRbAOeavn5aLjtHGZ2m5kdMLMDU1NTXQksX6ySTpz7J0knBsgXq1157HyxSq1WJxmz5rZk3Kh5vSMxiIgspBeJwBbY5udtcL/D3fe7+/6JiYkuhAXD6TjFSv2cbcVKneH0yi+ltPPYw+k4sdgA5dqzf45y1YnZQEdiEBFZSC8SwVFgR8vP24Fv9SCO8+yeyDJbqlAoVanX6xRKVWZLFXZPZLvy2LsnsoylE0zPlpkrVSgUq0wXSowOJzoSg4jIQnqRCL4GXGFml5tZEngdcGcP4jjPaCbJvl3jxGIwXSgTi8G+XeMdGbHTzmOPZpJ811WX8LytIxTKdQrlKnu2buCGKy7RqCERWTXmfl6vzOo/qdmrgT8iGD76V+7+nsX2379/vx84cKArsYmIrBdmdq+7719qv550PLv7XcBdvXhuERE5l2YWi4hEnBKBiEjEKRGIiEScEoGISMT1ZNTQxTKzKeDIKjz0JuCZVXjctWS9t1Ht629q3+ra5e5Lzsjti0SwWszsQDtDq/rZem+j2tff1L61QV1DIiIRp0QgIhJxUU8Ed/Q6gC5Y721U+/qb2rcGRPoagYiI6IxARCTylAhERCJu3ScCM7vKzO5v+TprZm+ft8/LzOxMyz6/1qt4l8PMfs7MHjGzh83sI2aWnnd/ysw+amZPmNlXzeyy3kS6PG20701mNtXy+v1Ur2JdLjN7W9i+R+b/f4b3m5m9L3wNHzSz63oR53K10b6+eg+a2V+Z2Ukze7hl27iZfcbMHg+/j13gd98Y7vO4mb2xe1Evwt0j80VQ9vppgkkWrdtfBvxbr+NbZpu2Ad8EBsOf/xF407x9fhr4i/D264CP9jruDrfvTcCf9DrWFbTx24CHgQxBReDPAlfM2+fVwKcIVvh7CfDVXsfd4fb11XsQuAG4Dni4ZdvvAu8Kb78L+J0Ffm8c+Eb4fSy8Pdbr9qz7M4J5bgQm3X01Zin3UhwYNLM4wZtt/opvtwAfCm9/HLjRzBZaMnStWqp9/e4a4B53L7h7FfgC8Np5+9wCfNgD9wCjZra124EuUzvt6yvufjdwet7m1vfZh4AfWOBXvxf4jLufdvdp4DPAK1ct0DZFLRG8DvjIBe77DjN7wMw+ZWbP62ZQK+Hux4DfB54EjgNn3P0/5+22DXgq3L8KnAE2djO/uTjDAAAEnUlEQVTO5WqzfQA/FHaZfNzMdixw/1r2MHCDmW00swzB0f/8NjRfw9DRcFs/aKd90KfvwRab3f04QPj9kgX2WZOvY2QSQbgs5s3Axxa4+z6C7qJrgT8G/rmbsa1E2A95C3A5cCkwZGavn7/bAr/aF+OG22zfvwKXufvzCbodPkQfcfdDwO8QHB3+B/AAUJ23W9++hm22r2/fgxdpTb6OkUkEwKuA+9z9xPw73P2su+fD23cBCTPb1O0Al+kVwDfdfcrdK8AngOvn7XOU8Ags7F7ZwPmntWvVku1z91PuXgp/fD/wgi7HuGLu/kF3v87dbyB4bR6ft0vzNQxtp4+6yJZqX5+/BxtONLrrwu8nF9hnTb6OUUoEt3KBbiEz29LoMzezFxH8XU51MbaVeBJ4iZllwjbcCByat8+dQGN0wg8Dn/fwylUfWLJ98/rKb55/fz8ws0vC7zuBH+T8/9U7gTeEo4deQtBFdrzLYS7bUu3r8/dgQ+v77I3Avyywz6eBm8xsLDzbvSnc1lu9vlrdjS+CC4yngA0t294CvCW8/bPAIwSnrPcA1/c65ots328AjxL0xf4NkAJ+E7g5vD9N0CX2BPC/wHN6HXOH2/fbLa/ffwFX9zrmZbTxi8DXwzbcGG5r/R814E+BSeAhYH+vY+5w+/rqPUiQyI4DFYKj/J8kuO72OYKznc8B4+G++4EPtPzum8P34hPAT/S6Le6uEhMiIlEXpa4hERFZgBKBiEjEKRGIiEScEoGISMQpEYiIRJwSgUSCmdXCqpYPm9nHwlIHy32sl5nZv4W3bzazdy2y76iZ/fQynuPXzewXlhujyMVQIpComHP3ve7+bUCZYAx7UzhR66LfD+5+p7vfvsguowTVX0XWLCUCiaIvAs81s8vM7JCZ/RlBrZsdZnaTmX3FzO4LzxyGAczslWb2qJl9iWBmLOH2N5nZn4S3N5vZJ8PCaQ+Y2fXA7cDu8Gzk98L93mlmXwuL5P1Gy2P9spk9ZmafBa7q2l9DIk+JQCIlrLX0KoLZuRB84H7Y3fcBs8CvAK9w9+uAA8A7LFgI5/3A9wPfBWy5wMO/D/iCB4XTriOYKfsugtLne939nWZ2E3AF8CJgL/ACM7vBzF5AUB13H0GieWGHmy5yQfFeByDSJYNmdn94+4vABwmqmR7xoL4/BAu+7AG+HJa9SQJfAa4mKHz3OICZ/S1w2wLP8XLgDQDuXgPOLLBK1U3h18Hw52GCxJAFPunuhfA57lxRa0UughKBRMWcu+9t3RB+2M+2biJYNOTWefvtpXOlgg34bXf/y3nP8fYOPofIRVHXkMiz7gFeambPBQgrnl5JUPDucjPbHe536wV+/3PAW8PfjZnZCJAjONpv+DTw5pZrD9vCypx3A681s0EzyxJ0Q4l0hRKBSMjdpwjWP/6ImT1IkBiudvciQVfQv4cXiy+01OnbgO8xs4eAe4Hnufspgq6mh83s9zxYXe3vga+E+30cyLr7fcBHgfuBfyLovhLpClUfFRGJOJ0RiIhEnBKBiEjEKRGIiEScEoGISMQpEYiIRJwSgYhIxCkRiIhE3P8DwPpv2kwAToAAAAAASUVORK5CYII=\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": 0.462059,
     "end_time": "2019-05-28T12:13:33.901196",
     "exception": false,
     "start_time": "2019-05-28T12:13:33.439137",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Profile evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "papermill": {
     "duration": 0.412818,
     "end_time": "2019-05-28T12:13:34.780973",
     "exception": false,
     "start_time": "2019-05-28T12:13:34.368155",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from joblib import Parallel, delayed\n",
    "import basepair"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "papermill": {
     "duration": 0.488324,
     "end_time": "2019-05-28T12:13:35.702500",
     "exception": false,
     "start_time": "2019-05-28T12:13:35.214176",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "task=tasks[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "papermill": {
     "duration": 4.49191,
     "end_time": "2019-05-28T12:13:40.682372",
     "exception": false,
     "start_time": "2019-05-28T12:13:36.190462",
     "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": 1.516144,
     "end_time": "2019-05-28T12:13:42.844265",
     "exception": false,
     "start_time": "2019-05-28T12:13:41.328121",
     "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": 3.165534,
     "end_time": "2019-05-28T12:13:46.796228",
     "exception": false,
     "start_time": "2019-05-28T12:13:43.630694",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAsYAAADNCAYAAAC7MLZfAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvOIA7rQAAHYRJREFUeJzt3X+QpVV95/H3JyDqGhGUwWIZyJBk8oNQUWQKJmsqayTCgCmGqpXNsCbMupPM6qKbVLK7jpusZCFWoaldV0o0S8lEsBIRSbJMyZDJFEq5yYJOExAcCKFFIi2sjAwSDKUs5rt/3NP07fb29O2evt19+75fVbf6eb7PeZ7z9KE59Z3nnuecVBWSJEnSqPuB5b4BSZIkaSUwMZYkSZIwMZYkSZIAE2NJkiQJMDGWJEmSABNjSZIkCVjmxDjJziRPJPlyH2U/mOSe9vnbJN9ainuUJEnSaMhyzmOc5OeAbwPXV9Vp8zjvXcDpVfVvBnZzkiRJGinL+sS4qj4PHOyOJfmRJH+e5K4k/zvJT/Q49WLgk0tyk5IkSRoJRy73DfRwDfD2qnooyVnAR4A3Th5M8kPAKcBnl+n+JEmStAqtqMQ4yQ8C/wz4dJLJ8ItnFNsC3FRV31vKe5MkSdLqtqISYzpDO75VVa89RJktwKVLdD+SJEkaEStquraq+nvgq0kuAkjHayaPJ/lx4FjgjmW6RUmSJK1Syz1d2yfpJLk/nmQiyTbgrcC2JF8C9gObu065GLihlnMqDUmSJK1KyzpdmyRJkrRSzPnEeK5FOJK8Ncm97fN/uoc+SJIkScOin6EUHwc2HeL4V4F/XlU/DVxBZ7o1SRKddyO6Vu28J8nfJ/mNJK9MsjfJQ+3nsa18klyVZLw9cHhd17W2tvIPJdnaFT8jyX3tnKvSpvVZSB2SNMr6GkqRZB3wmblWp2ud7per6sS5rnncccfVunXr+rtLSVph7rrrrm9W1Zr5nJPkCODrwFl0Ztc5WFVXJtkBHFtV705yPvAu4PxW7kNVdVaSVwJjwAaggLuAM6rqqSRfBH4duBPYDVxVVbcm+cB86jjUvdtnSxpm/fbZiz1d2zbg1n4Krlu3jrGxsUWuXpKWRpK/W8BpZwNfqaq/S7IZeEOLXwfcDrybzgvH17eXjO9MckySE1rZvVV1sNW/F9iU5Hbg6Kq6o8WvBy6k0xfPq46qeny2G7fPljTM+u2zFy0xTvLzdBLjnz1Eme3AdoCTTz55saqWpGGxhanl7F89mYhW1eNJjm/xE4FHu86ZaLFDxSd6xBdSx6yJsSSNgkWZri3JTwMfAzZX1ZOzlauqa6pqQ1VtWLNmXt9AStJQS3IUcAHw6bmK9ojVAuILqWN6oWR7krEkYwcOHJjjkpI0/A47MU5yMvCnwK9U1d8e/i1J0qp0HvDXVfWNtv+NNkSC9vOJFp8ATuo6by3w2BzxtT3iC6ljGh9mSBo1/UzX9n2LcCR5e5K3tyLvBV4FfKS9ce0gNEn6fhczNYwCYBcwObPEVuDmrvglbeaIjcDTbTjEHuCcJMe2F53PAfa0Y88k2dhmo7hkxrXmU4ckjbQ5xxhX1cVzHP9V4FcX7Y4kaZVJ8k+ANwH/tit8JXBjW/Hza8BFLb6bzmwR48CzwNsAqupgkiuAfa3c5ZMv4gHvoDO15kvpvHQ3+RL0vOqQpFG32LNSDNy6Hbe8sP3IlW9exjuRpP5U1bN0vlnrjj1JZ5aKmWWLzlRuva6zE9jZIz4GfN90mgupY6nYl0taiRbl5TtJkiRp2JkYS5KW1bodt0x7gixJy8XEWJIkScLEWJIkSQJMjCVJkiTAxFiSJEkCTIwlSZIkwMRYkiRJAkyMJUmSJMDEWJIkSQJMjCVJkiTAxFiSJEkCTIwlSZIkwMRYkiRJAkyMJWngkhyT5KYkf5PkgSQ/k+SVSfYmeaj9PLaVTZKrkownuTfJ67qus7WVfyjJ1q74GUnua+dclSQtPu86JGmUmRhL0uB9CPjzqvoJ4DXAA8AO4LaqWg/c1vYBzgPWt8924KPQSXKBy4CzgDOByyYT3VZme9d5m1p8XnVI0qgzMZakAUpyNPBzwLUAVfVcVX0L2Axc14pdB1zYtjcD11fHncAxSU4AzgX2VtXBqnoK2AtsaseOrqo7qqqA62dcaz51SNJImzMxTrIzyRNJvjzLcb+Sk6TZ/TBwAPjDJHcn+ViSlwGvrqrHAdrP41v5E4FHu86faLFDxSd6xFlAHdMk2Z5kLMnYgQMH5vdbS9IQ6ueJ8ceZ+lquF7+Sk6TZHQm8DvhoVZ0O/ANTQxp6SY9YLSB+KH2dU1XXVNWGqtqwZs2aOS4pScNvzsS4qj4PHDxEEb+Sk6TZTQATVfWFtn8TnUT5G5N9Zfv5RFf5k7rOXws8Nkd8bY84C6hjWa3bccsLH0laDosxxrivr+TAr+UkjZ6q+r/Ao0l+vIXOBu4HdgGTM0tsBW5u27uAS9owtY3A020YxB7gnCTHtpfuzgH2tGPPJNnYZqO4ZMa15lOHJI20IxfhGn1/jVdV1wDXAGzYsGGur/okabV4F/BHSY4CHgbeRufBxI1JtgFfAy5qZXcD5wPjwLOtLFV1MMkVwL5W7vKqmvw27x10hr29FLi1fQCunE8dkjTqFiMxXpFfyUnSSlFV9wAbehw6u0fZAi6d5To7gZ094mPAaT3iT863DkkaZYsxlMKv5CRJkjT05nxinOSTwBuA45JM0Jlg/kUAVfUH+JWcJEmSVoE5E+OquniO434lJ0mSpKHnyneSJEkSJsaSJEkSYGIsSZIkASbGkiRJEmBiLEmSJAEmxpIkSRJgYixJkiQBJsaSJEkSYGIsSZIkASbGkiRJEmBiLEmSJAEmxpI0cEkeSXJfknuSjLXYK5PsTfJQ+3lsiyfJVUnGk9yb5HVd19nayj+UZGtX/Ix2/fF2bhZahySNMhNjSVoaP19Vr62qDW1/B3BbVa0Hbmv7AOcB69tnO/BR6CS5wGXAWcCZwGWTiW4rs73rvE0LqUOSRp2JsSQtj83AdW37OuDCrvj11XEncEySE4Bzgb1VdbCqngL2ApvasaOr6o6qKuD6GdeaTx0rxrodt7zwkaSlYmIsSYNXwF8kuSvJ9hZ7dVU9DtB+Ht/iJwKPdp070WKHik/0iC+kjmmSbE8ylmTswIED8/h1JWk4HbncNyBJI+D1VfVYkuOBvUn+5hBl0yNWC4gfSl/nVNU1wDUAGzZsmOuakjT0fGIsSQNWVY+1n08Af0ZnjPA3JocvtJ9PtOITwEldp68FHpsjvrZHnAXUIUkjzcRYkgYoycuSvHxyGzgH+DKwC5icWWIrcHPb3gVc0maO2Ag83YZB7AHOSXJse+nuHGBPO/ZMko1tNopLZlxrPnVI0kjrayhFkk3Ah4AjgI9V1ZUzjp9M58WOY1qZHVW1e5HvVZKG0auBP2szqB0J/HFV/XmSfcCNSbYBXwMuauV3A+cD48CzwNsAqupgkiuAfa3c5VV1sG2/A/g48FLg1vYBuHI+dUjSqJszMU5yBHA18CY6X7/tS7Krqu7vKvY7wI1V9dEkp9LpdNcN4H4laahU1cPAa3rEnwTO7hEv4NJZrrUT2NkjPgacthh1SNIo62coxZnAeFU9XFXPATfQmeqnWwFHt+1X4Fg1SZIkDZl+EuN+pvX5XeCXk0zQeVr8rl4XcuofSZIkrVT9jDHuZ1qfi4GPV9V/S/IzwCeSnFZV/zjtJKf+kaSR5WIdkla6fp4Y9zOtzzbgRoCqugN4CXDcYtygJEmStBT6SYz3AeuTnJLkKGALnal+un2N9oJHkp+kkxg7VkKSJElDY87EuKqeB95JZw7NB+jMPrE/yeVJLmjFfgv4tSRfAj4J/Ov21rMkSZI0FPqax7jNSbx7Ruy9Xdv3A69f3FuTJEmSlo4r30mSJEmYGEuSJEmAibEkSZIEmBhLkiRJgImxJEmSBJgYS5IkSUCf07VJkrRcupeSfuTKNy/jnUha7XxiLElLIMkRSe5O8pm2f0qSLyR5KMmn2sqiJHlx2x9vx9d1XeM9Lf5gknO74ptabDzJjq74vOuQpFG26hLjdTtueeEjSSvIr9NZPXTS+4EPVtV64ClgW4tvA56qqh8FPtjKkeRUYAvwU8Am4CMt2T4CuBo4DzgVuLiVnXcdkjTqVl1iLEkrTZK1wJuBj7X9AG8EbmpFrgMubNub2z7t+Nmt/Gbghqr6blV9FRgHzmyf8ap6uKqeA24ANi+wDkkaaSbGkjR4/wP4T8A/tv1XAd+qqufb/gRwYts+EXgUoB1/upV/IT7jnNniC6ljmiTbk4wlGTtw4MD8f2tJGjImxpI0QEl+EXiiqu7qDvcoWnMcW6z4XPVPBaquqaoNVbVhzZo1PU6RpNXFWSkkabBeD1yQ5HzgJcDRdJ4gH5PkyPbEdi3wWCs/AZwETCQ5EngFcLArPqn7nF7xby6gDkkaaT4xlqQBqqr3VNXaqlpH5+W5z1bVW4HPAW9pxbYCN7ftXW2fdvyzVVUtvqXNKHEKsB74IrAPWN9moDiq1bGrnTPfOiRppPnEWJKWx7uBG5L8HnA3cG2LXwt8Isk4nae4WwCqan+SG4H7geeBS6vqewBJ3gnsAY4AdlbV/oXUIUmjzsRYkpZIVd0O3N62H6Yzo8TMMt8BLprl/PcB7+sR3w3s7hGfdx2SNMocSiFJkiSxyp8Yu4yoJEmS+tXXE+PZlhudUeZfJrk/yf4kf7y4tylJkiQN1pxPjLuWG30TnSl+9iXZVVX3d5VZD7wHeH1VPZXk+EHdsCRJkjQI/QyleGG5UYAkN9BZTvT+rjK/BlxdVU8BVNUTi32jc+keNiFJkiTNVz9DKWZbbrTbjwE/luSvktyZZFOvC7m8qCRJklaqfhLjfpYOPZLOZPNvAC4GPpbkmO87yeVFJUmStEL1kxgfahnS7jI3V9X/q6qvAg/SSZQlSZKkodBPYtxzudEZZf4X8PMASY6jM7Ti4cW8UUmSJGmQ5kyMq+p5YHK50QeAG9vSpJcnuaAV2wM8meR+4HPAf6yqJwd105IkSdJi62uBj17LjVbVe7u2C/jN9pEkaSAmZyBy0SZJg7CqV77r5ip4kiRJOpS+Vr6TJEmSVjsTY0mSJAkTY0kaqCQvSfLFJF9Ksj/Jf23xU5J8IclDST7VZv0hyYvb/ng7vq7rWu9p8QeTnNsV39Ri40l2dMXnXYckjTITY0karO8Cb6yq1wCvBTYl2Qi8H/hgVa0HngK2tfLbgKeq6keBD7ZyJDmVznSZPwVsAj6S5IgkRwBXA+cBpwIXt7LMtw5JGnUmxpI0QNXx7bb7ovYp4I3ATS1+HXBh297c9mnHz06SFr+hqr7bFlIaB85sn/GqeriqngNuADa3c+ZbhySNNBNjSRqw9mT3HuAJYC/wFeBbbZ546KweemLbPhF4FF6YR/5p4FXd8RnnzBZ/1QLqmHnf25OMJRk7cODAwn55SRoiJsaSNGBV9b2qei2wls4T3p/sVaz97PXkthYxfqg6pgeqrqmqDVW1Yc2aNT1OkaTVxcRYkpZIVX0LuB3YCByTZHIu+bXAY217AjgJoB1/BXCwOz7jnNni31xAHZI00kyMJWmAkqxJckzbfinwC8ADwOeAt7RiW4Gb2/autk87/tm2uuguYEubUeIUYD3wRWAfsL7NQHEUnRf0drVz5luHJI20kVn5TpKWyQnAdW32iB8AbqyqzyS5H7ghye8BdwPXtvLXAp9IMk7nKe4WgKran+RG4H7geeDSqvoeQJJ3AnuAI4CdVbW/Xevd86lDkkadibEkDVBV3Quc3iP+MJ3xxjPj3wEumuVa7wPe1yO+G9i9GHVI0ihzKIUkSZLEiCbG63bcwrodtyz3bUiSJGkFGcnEWJIkSZrJxFiSJEnCl+8kSUOoezjcI1e+eRnvRNJq4hNjSZIkiT4T4ySbkjyYZDzJjkOUe0uSSrJh8W5RkiRJGrw5E+M2Kf3VwHnAqcDFSU7tUe7lwL8HvrDYNylJkiQNWj9PjM8Exqvq4ap6DrgB2Nyj3BXAB4DvLOL9SZIkSUuin8T4RODRrv2JFntBktOBk6rqM4e6UJLtScaSjB04cGDeNytJkiQNSj+JcXrE6oWDyQ8AHwR+a64LVdU1VbWhqjasWbOm/7uUJEmSBqyfxHgCOKlrfy3wWNf+y4HTgNuTPAJsBHb5Ap4kSZKGST/zGO8D1ic5Bfg6sAX4V5MHq+pp4LjJ/SS3A/+hqsYW91YXn/NgSpIkadKcT4yr6nngncAe4AHgxqran+TyJBcM+gYlSZKkpdDXPMZVtbuqfqyqfqSq3tdi762qXT3KvmEYnhZL0lJIclKSzyV5IMn+JL/e4q9MsjfJQ+3nsS2eJFe1eePvTfK6rmttbeUfSrK1K35GkvvaOVclyULrkKRR5sp3kjRYzwO/VVU/SecdjEvbXPA7gNuqaj1wW9uHzpzx69tnO/BR6CS5wGXAWXSm0bxsMtFtZbZ3nbepxedVhySNOhNjSRqgqnq8qv66bT9DZ0jaiXTmg7+uFbsOuLBtbwaur447gWOSnACcC+ytqoNV9RSwF9jUjh1dVXdUVQHXz7jWfOqQpJHWz8t3kqRFkGQdcDqdFUJfXVWPQyd5TnJ8Kzbb3PGHik/0iLOAOh6fcb/b6TxR5uSTT57fL7uEfJFa0mLxibEkLYEkPwj8CfAbVfX3hyraI1YLiB/ydvo5x7nnJY2aoX5i3P2UQJJWqiQvopMU/1FV/WkLfyPJCe1J7gnAEy0+29zxE8AbZsRvb/G1PcovpA5JGmk+MZakAWozRFwLPFBV/73r0C5gcmaJrcDNXfFL2swRG4Gn23CIPcA5SY5tL92dA+xpx55JsrHVdcmMa82nDkkaaUP9xFiShsDrgV8B7ktyT4v9Z+BK4MYk24CvARe1Y7uB84Fx4FngbQBVdTDJFXQWXQK4vKoOtu13AB8HXgrc2j7Mtw5JGnUmxpI0QFX1l/Qe0wtwdo/yBVw6y7V2Ajt7xMeA03rEn5xvHYvNIW+SholDKSRJkiR8YvwCp/uRJEkabT4xliRJkjAxliRJkgATY0mSJAkwMZYkSZIAX76TJK0ivkgt6XD4xFiSJEnCxFiSJEkC+kyMk2xK8mCS8SQ7ehz/zST3J7k3yW1Jfmjxb1WSJEkanDnHGCc5ArgaeBMwAexLsquq7u8qdjewoaqeTfIO4APALw3ihpeCY9QkSZJGTz9PjM8Exqvq4ap6DrgB2NxdoKo+V1XPtt07gbWLe5uSJEnSYPWTGJ8IPNq1P9Fis9kG3Ho4NyVJkiQttX4S4/SIVc+CyS8DG4Dfn+X49iRjScYOHDjQ/11K0hBLsjPJE0m+3BV7ZZK9SR5qP49t8SS5qr3TcW+S13Wds7WVfyjJ1q74GUnua+dclSQLrUOSRlk/ifEEcFLX/lrgsZmFkvwC8NvABVX13V4XqqprqmpDVW1Ys2bNQu5XkobRx4FNM2I7gNuqaj1wW9sHOA9Y3z7bgY9CJ8kFLgPOojPE7bLJRLeV2d513qaF1LHarNtxy7R3RiRpLv0kxvuA9UlOSXIUsAXY1V0gyenA/6STFD+x+LcpScOrqj4PHJwR3gxc17avAy7sil9fHXcCxyQ5ATgX2FtVB6vqKWAvsKkdO7qq7qiqAq6fca351CFJI23OxLiqngfeCewBHgBurKr9SS5PckEr9vvADwKfTnJPkl2zXE6S1PHqqnocoP08vsVne6/jUPGJHvGF1CFJI62vJaGrajewe0bsvV3bv7DI97ViTH4N57RtkpbIbO91zDe+kDqmF0q20xlqwcknnzzHJSVp+LnynSQtj29MDl9oPyeHoc32Xseh4mt7xBdSxzS+FyJp1JgYS9Ly2AVMziyxFbi5K35JmzliI/B0GwaxBzgnybHtpbtzgD3t2DNJNrbZKC6Zca351CFJI62voRSSpIVL8kngDcBxSSbozC5xJXBjkm3A14CLWvHdwPnAOPAs8DaAqjqY5Ao6L0QDXF5Vky/0vYPOzBcvpTOP/ORc8vOqQ5JGnYmxJA1YVV08y6Gze5Qt4NJZrrMT2NkjPgac1iP+5HzrkKRRZmIsSVrVuucy9kVqSYdiYtwnO1ZJkqTVzZfvJEmSJEyMJUmSJMChFJKkEeKwOEmH4hNjSZIkCZ8YL4hPHCRJklYfnxhLkiRJmBhLkiRJgEMpDpvDKiRpONl/S5rJJ8aSJEkSPjGWJMmnx5IAE+NFZccqSZI0vBxKMSDrdtwyLVGWJEnSytZXYpxkU5IHk4wn2dHj+IuTfKod/0KSdYt9o5KkxTVX3z6qfLAhja45h1IkOQK4GngTMAHsS7Krqu7vKrYNeKqqfjTJFuD9wC8N4oaHjcMrJK1EffbtI2225Ni+XFq9+hljfCYwXlUPAyS5AdgMdHeem4Hfbds3AR9OkqqqRbzXoWcnK2kF6advVw8+8JBWr34S4xOBR7v2J4CzZitTVc8neRp4FfDNxbjJ1W4hX9nZGUs6TP307ZrDfPpv+21p5esnMU6P2Mwnwf2UIcl2YHvb/XaSB/uof6bjMOEm7wdsi262xRTbYsog2+KHBnTdpTJnv70IfbZ/i1OOy/ttiy7+bUyxLaYbVHv01Wf3kxhPACd17a8FHpulzESSI4FXAAdnXqiqrgGu6efGZpNkrKo2HM41VgvbYoptMcW2mGJbHNKcffvh9tm2/xTbYjrbY4ptMd1yt0c/s1LsA9YnOSXJUcAWYNeMMruArW37LcBnHV8sSStaP327JI2UOZ8YtzHD7wT2AEcAO6tqf5LLgbGq2gVcC3wiyTidJ8VbBnnTkqTDM1vfvsy3JUnLqq+V76pqN7B7Ruy9XdvfAS5a3Fub1WENxVhlbIsptsUU22KKbXEIvfr2RWb7T7EtprM9ptgW0y1re8QRD5IkSZJLQkuSJEnACkiMD2e56STvafEHk5zb7zVXqgG1xSNJ7ktyT5KxpflNDt9C2yLJq5J8Lsm3k3x4xjlntLYYT3JVkl7TVa04A2qL29s172mf45fmtzk8h9EWb0pyV/vvf1eSN3adM5R/F0vNvno6++sp9tfT2WdPGco+u6qW7UPnhY+vAD8MHAV8CTh1Rpl/B/xB294CfKptn9rKvxg4pV3niH6uuRI/g2iLduwR4Ljl/v2WsC1eBvws8HbgwzPO+SLwM3Tmb70VOG+5f9dlbIvbgQ3L/fstYVucDvzTtn0a8PVh/rsYsrZfVX31oNqjHbO/njpnKP+/tM9etLZYtj57uZ8Yv7AkaVU9B0wuSdptM3Bd274JOLv962AzcENVfbeqvgqMt+v1c82VaBBtMawW3BZV9Q9V9ZfAd7oLJzkBOLqq7qjO/1nXAxcO9LdYHIveFkPscNri7qqanKN3P/CS9qRiWP8ulpp99XT211Psr6ezz54ylH32cifGvZYkPXG2MlX1PDC53PRs5/ZzzZVoEG0BnZWs/qJ9FbGd4XA4bXGoa07Mcc2VaBBtMekP21dy/2VIvqZcrLb4F8DdVfVdhvfvYqnZV09nfz3F/no6++wpQ9ln9zVd2wAdznLTs8V7JfvDMPXGINoC4PVV9Vgbj7Q3yd9U1ecP4z6XwqItQ34Y5VeKQbQFwFur6utJXg78CfArdP7lvZIddlsk+Sng/cA587im7Ktnsr+eYn89nX32lKHss5f7ifF8lpsm05ebnu3cfq65Eg2iLZj8KqKqngD+jOH4yu5w2uJQ11w7xzVXokG0BVX19fbzGeCPGYG/iyRr6fw/cElVfaWr/DD+XSw1++rp7K+n2F9PZ589ZSj77OVOjA9nueldwJY25uQUYD2dAdnDuszpordFkpe1f12S5GV0/sX15SX4XQ7Xoi9DXlWPA88k2di+groEuHnxb33RLXpbJDkyyXFt+0XAL7LK/y6SHAPcArynqv5qsvAQ/10sNfvq6eyvp9hfT2efPWU4++zFeotvoR/gfOBv6by5+NstdjlwQdt+CfBpOi8ofBH44a5zf7ud9yBdbyX2uuYwfBa7Lei8Cfql9tk/Qm3xCJ1/cX6bzr8uT23xDXQ6k68AH6YtcLPSP4vdFnTefL4LuLf9XXyI9lb8Sv8stC2A3wH+Abin63P8MP9dDEvbt2Orqq8eRHtgf70q+utBtAf22UvaZ7vynSRJksTyD6WQJEmSVgQTY0mSJAkTY0mSJAkwMZYkSZIAE2NJkiQJMDGWJEmSABNjSZIkCTAxliRJkgD4/8wl7L+adXRPAAAAAElFTkSuQmCC\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": 0.610723,
     "end_time": "2019-05-28T12:13:48.056245",
     "exception": false,
     "start_time": "2019-05-28T12:13:47.445522",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8139288120746581"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.mean(x>0.0001)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "papermill": {
     "duration": 115.469522,
     "end_time": "2019-05-28T12:15:43.919205",
     "exception": false,
     "start_time": "2019-05-28T12:13:48.449683",
     "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": 0.897491,
     "end_time": "2019-05-28T12:15:45.414045",
     "exception": false,
     "start_time": "2019-05-28T12:15:44.516554",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "      auprc  binsize  frac_ambigous  imbalance  n_positives  random_auprc   task\n",
      "0  0.007338        1       0.001015   0.000004          214      0.000003  task1\n",
      "1  0.010099       10       0.001303   0.000004           24      0.000004  task1\n",
      "0  0.000002        1       0.001414   0.000002          118      0.000002  task2\n",
      "1  0.000002       10       0.001851   0.000002           12      0.000002  task2\n",
      "0  0.000002        1       0.001976   0.000003          192      0.000003  task3\n",
      "1  0.000003       10       0.002423   0.000004           24      0.000005  task3\n",
      "0       NaN        1       0.001378   0.000000            0           NaN  task4\n",
      "1       NaN       10       0.001702   0.000000            0           NaN  task4\n",
      "0       NaN        1       0.002282   0.000000            0           NaN  task5\n",
      "1       NaN       10       0.002977   0.000000            0           NaN  task5\n",
      "0  0.000001        1       0.001966   0.000002          126      0.000002  task6\n",
      "1  0.000002       10       0.002577   0.000002           14      0.000005  task6\n"
     ]
    }
   ],
   "source": [
    "# make sure to print all the rows\n",
    "print(df.to_string())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "papermill": {
     "duration": 1.023307,
     "end_time": "2019-05-28T12:15:46.983338",
     "exception": true,
     "start_time": "2019-05-28T12:15:45.960031",
     "status": "failed"
    },
    "tags": []
   },
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "[Errno 2] No such file or directory: 'model/auprc.metrics.csv'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-25-e3f3f832ab2e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"model/auprc.metrics.csv\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mto_csv\u001b[0;34m(self, path_or_buf, sep, na_rep, float_format, columns, header, index, index_label, mode, encoding, compression, quoting, quotechar, line_terminator, chunksize, tupleize_cols, date_format, doublequote, escapechar, decimal)\u001b[0m\n\u001b[1;32m   3018\u001b[0m                                  \u001b[0mdoublequote\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdoublequote\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3019\u001b[0m                                  escapechar=escapechar, decimal=decimal)\n\u001b[0;32m-> 3020\u001b[0;31m         \u001b[0mformatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3021\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3022\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mpath_or_buf\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/pandas/io/formats/csvs.py\u001b[0m in \u001b[0;36msave\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    155\u001b[0m             f, handles = _get_handle(self.path_or_buf, self.mode,\n\u001b[1;32m    156\u001b[0m                                      \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mencoding\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 157\u001b[0;31m                                      compression=self.compression)\n\u001b[0m\u001b[1;32m    158\u001b[0m             \u001b[0mclose\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    159\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/users/avsec/bin/anaconda3/envs/chipnexus/lib/python3.6/site-packages/pandas/io/common.py\u001b[0m in \u001b[0;36m_get_handle\u001b[0;34m(path_or_buf, mode, encoding, compression, memory_map, is_text)\u001b[0m\n\u001b[1;32m    422\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    423\u001b[0m             \u001b[0;31m# Python 3 and encoding\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 424\u001b[0;31m             \u001b[0mf\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath_or_buf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mencoding\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnewline\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    425\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mis_text\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    426\u001b[0m             \u001b[0;31m# Python 3 and no explicit encoding\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'model/auprc.metrics.csv'"
     ]
    }
   ],
   "source": [
    "df.to_csv(\"model/auprc.metrics.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "source": [
    "## Profile plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from basepair.plots import plot_profiles\n",
    "from basepair import samplers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "tasks = list(ds.task_specs)\n",
    "task = tasks[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#idx_list = samplers.top_sum_count(y_true['profile/Nanog'], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#idx_list = samplers.top_sum_count(y_true['profile/Oct4'], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Total sum\n",
    "#idx_list = samplers.top_sum_count(sum([y_true[f'profile/{task}'].mean(-1) for task in tasks])[:,:,np.newaxis], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "#idx_list = samplers.top_max_count(y_true['profile/Oct4'], 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "np.random.seed(42)\n",
    "idx_list = samplers.random(y_true[f'profile/{task}'], 20, )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "idx_list[:4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "papermill": {
     "duration": null,
     "end_time": null,
     "exception": null,
     "start_time": null,
     "status": "pending"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "plot_profiles(y_true, y_pred, tasks, idx_list, preproc=None, figsize=(24, 8), tic_freq=50, \n",
    "              xlim=[int(np.floor(peak_width/5)),int(np.floor(peak_width/5*4))])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:basepair-gpu] *",
   "language": "python",
   "name": "conda-env-basepair-gpu-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "papermill": {
   "duration": 448.714737,
   "end_time": "2019-05-28T12:15:50.697272",
   "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.CTBP1/results.ipynb",
   "parameters": {
    "dataspec_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.CTBP1/dataspec.yaml",
    "gpu": 3,
    "history_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.CTBP1/history.csv",
    "hparams_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.CTBP1/hparams.yaml",
    "model_file": "/oak/stanford/groups/akundaje/marinovg/papers/2019_organelles_TFs/2019-05-BPNet-modles/hg19.BPNet.cov.CTBP1/model.h5",
    "num_workers": 10,
    "peak_width": 1000,
    "seq_width": 1000
   },
   "start_time": "2019-05-28T12:08:21.982535",
   "version": "0.18.1"
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