{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Rescaling\n",
    "## Rescaling base quality scores using aDNA damage profile"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The idea of rescaling read base quality scores using damage profile was first introduced by mapDamage2. \n",
    "Rescaling base quality score is one of the way to deal with aDNA damage, which otherwise can introduces biases, in variant calling for example.  \n",
    "\n",
    "However, the runtime necessary to rescale these reads with mapDamage2 made it more than often prohibitive to use this functionality.  \n",
    "Starting from version 0.80, PyDamage now also offers a base quality score rescaling.\n",
    "\n",
    "This notebook is used to demontrate the performance of PyDamage v0.80 vs the current version of mapDamage2 (v2.2.2 as of 2024/09/18), and compare their rescaling results.\n",
    "\n",
    "For both PyDamage and mapDamage, the output of the rescaling will be a `BAM` file with rescaled read base quality score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:44:52.780690Z",
     "iopub.status.busy": "2024-09-19T09:44:52.780391Z",
     "iopub.status.idle": "2024-09-19T09:44:54.980653Z",
     "shell.execute_reply": "2024-09-19T09:44:54.980036Z"
    }
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pysam\n",
    "from plotnine import *\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:44:54.984723Z",
     "iopub.status.busy": "2024-09-19T09:44:54.984323Z",
     "iopub.status.idle": "2024-09-19T09:45:02.257072Z",
     "shell.execute_reply": "2024-09-19T09:45:02.255385Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pydamage, version 0.80\r\n"
     ]
    }
   ],
   "source": [
    "! pydamage --version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:45:02.261502Z",
     "iopub.status.busy": "2024-09-19T09:45:02.261113Z",
     "iopub.status.idle": "2024-09-19T09:49:48.584822Z",
     "shell.execute_reply": "2024-09-19T09:49:48.583774Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimating and testing Damage\r\n",
      "Computing alignment stats for entire reference\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 0it [00:00, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 11422it [00:00, 114152.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\r\n",
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     ]
    },
    {
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     ]
    },
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     ]
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      "Compute damage for entire reference: 1174118it [00:09, 123564.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1186480it [00:09, 120100.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1198512it [00:09, 117798.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1210964it [00:09, 119746.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1222959it [00:09, 115656.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1234562it [00:10, 114573.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1246044it [00:10, 114633.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1257525it [00:10, 113551.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1269208it [00:10, 114507.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1280735it [00:10, 114729.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1293496it [00:10, 118544.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1306889it [00:10, 123119.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1320394it [00:10, 126675.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1333072it [00:10, 126404.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1346560it [00:10, 128931.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1360049it [00:11, 130711.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1373608it [00:11, 132170.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1387333it [00:11, 133689.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1414769it [00:11, 135416.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1428550it [00:11, 136132.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1442439it [00:11, 136957.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1456204it [00:11, 137161.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1470254it [00:11, 138160.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1484071it [00:11, 135357.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1497691it [00:12, 135604.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1511261it [00:12, 135555.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1525127it [00:12, 136479.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1538803it [00:12, 136560.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1552663it [00:12, 137168.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1566629it [00:12, 137912.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1580588it [00:12, 138412.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1594551it [00:12, 138776.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1622463it [00:12, 139185.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1650386it [00:13, 139420.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1664329it [00:13, 139411.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1678271it [00:13, 139125.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1692184it [00:13, 138636.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1706190it [00:13, 139059.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1720117it [00:13, 139121.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1734030it [00:13, 137587.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1747793it [00:13, 137484.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1761545it [00:13, 136278.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1775177it [00:14, 132925.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1788488it [00:14, 130877.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1801591it [00:14, 129261.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1814528it [00:14, 128303.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1827365it [00:14, 127737.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1840143it [00:14, 127284.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1852874it [00:14, 127084.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1865584it [00:14, 123388.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1878286it [00:14, 124442.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1891118it [00:14, 125579.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1903710it [00:15, 125676.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1916318it [00:15, 125795.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1928930it [00:15, 125889.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1941644it [00:15, 126259.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1954416it [00:15, 126694.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1967089it [00:15, 126490.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1979741it [00:15, 125664.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1992359it [00:15, 125814.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2005146it [00:15, 126426.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2017791it [00:16, 126121.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2030405it [00:16, 121883.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2042624it [00:16, 119517.65it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2054602it [00:16, 115539.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2066193it [00:16, 114352.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2078227it [00:16, 116072.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2089858it [00:16, 115894.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2101466it [00:16, 115947.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2113865it [00:16, 118320.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2126200it [00:16, 119811.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2138814it [00:17, 121692.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2151481it [00:17, 123173.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2164180it [00:17, 124311.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2176617it [00:17, 124292.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2189342it [00:17, 125176.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2201863it [00:17, 124486.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2214315it [00:17, 124445.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2227149it [00:17, 125607.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2239969it [00:17, 126381.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2252609it [00:17, 125839.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2265195it [00:18, 125411.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2277859it [00:18, 125777.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2290580it [00:18, 126203.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2303213it [00:18, 126238.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2315838it [00:18, 126213.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2328512it [00:18, 126366.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2341149it [00:18, 125943.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2353744it [00:18, 125923.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2366512it [00:18, 126445.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2379348it [00:18, 127015.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2392136it [00:19, 127272.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2404870it [00:19, 127288.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2417601it [00:19, 127291.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 2430369it [00:19, 127405.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2443110it [00:19, 127167.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2455827it [00:19, 127014.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2468529it [00:19, 126982.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2481370it [00:19, 127408.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2494248it [00:19, 127815.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2507030it [00:19, 127412.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2519772it [00:20, 127097.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2532483it [00:20, 126408.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2545260it [00:20, 126811.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2557947it [00:20, 126827.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2570631it [00:20, 126754.82it/s]"
     ]
    },
    {
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     ]
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     ]
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     ]
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     ]
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    {
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▍| 222/230 [00:21<00:00,  9.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▌| 224/230 [00:22<00:00,  9.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  98%|██████████████▋| 226/230 [00:22<00:00,  8.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:22<00:00, 10.19it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimating and testing Damage\r\n",
      "Computing alignment stats for entire reference\r\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     "output_type": "stream",
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    },
    {
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     "output_type": "stream",
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    },
    {
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    },
    {
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    },
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     ]
    },
    {
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    },
    {
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     "output_type": "stream",
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     ]
    },
    {
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    },
    {
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     ]
    },
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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    },
    {
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    },
    {
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    },
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    },
    {
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    },
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    },
    {
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    },
    {
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    },
    {
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    },
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    {
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    },
    {
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    },
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    {
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    {
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    {
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    },
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    },
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    },
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    },
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    },
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     ]
    },
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     ]
    },
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    },
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    },
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    },
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    {
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     ]
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    {
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    },
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     ]
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     ]
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    {
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     ]
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     ]
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     ]
    },
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     ]
    },
    {
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     ]
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     ]
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     ]
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    {
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     ]
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     ]
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    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1304656it [00:10, 126216.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1317360it [00:10, 126461.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1330007it [00:10, 126077.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1342616it [00:10, 125998.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1355217it [00:10, 125190.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1367776it [00:10, 125307.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1380349it [00:10, 125432.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1393087it [00:11, 126012.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1405870it [00:11, 126555.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1418527it [00:11, 126471.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1431175it [00:11, 126463.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1443928it [00:11, 126781.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1456607it [00:11, 126703.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1469453it [00:11, 127225.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1482198it [00:11, 127243.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1494923it [00:11, 127104.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1507634it [00:11, 126940.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1520329it [00:12, 125546.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1532887it [00:12, 124605.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1545351it [00:12, 123672.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1557761it [00:12, 123796.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1570143it [00:12, 123781.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1582523it [00:12, 123751.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1594900it [00:12, 123395.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1607241it [00:12, 122851.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1619527it [00:12, 122680.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1631796it [00:12, 122481.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1644206it [00:13, 122962.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1656701it [00:13, 123554.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1669264it [00:13, 124172.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1681682it [00:13, 123638.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1694249it [00:13, 124243.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1706675it [00:13, 123797.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1719056it [00:13, 123645.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1731422it [00:13, 123449.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1743996it [00:13, 124131.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1756568it [00:13, 124605.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1769030it [00:14, 124515.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1781482it [00:14, 124318.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1794002it [00:14, 124581.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1806694it [00:14, 125278.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1819476it [00:14, 126037.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1832081it [00:14, 125088.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1844649it [00:14, 125263.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1857177it [00:14, 121900.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1869936it [00:14, 123568.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1882585it [00:14, 124429.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1895325it [00:15, 125307.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1907867it [00:15, 125208.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1920584it [00:15, 125792.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1933330it [00:15, 126286.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1946037it [00:15, 126516.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1958692it [00:15, 126438.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1971463it [00:15, 126818.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1984147it [00:15, 126176.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1996847it [00:15, 126417.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2009561it [00:15, 126630.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2022256it [00:16, 126723.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2035095it [00:16, 127220.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2048002it [00:16, 127770.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2060849it [00:16, 127978.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2073810it [00:16, 128465.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2086657it [00:16, 127801.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2099449it [00:16, 127834.89it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2112300it [00:16, 128034.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2125104it [00:16, 127854.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2137890it [00:16, 127832.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2150674it [00:17, 127731.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2163448it [00:17, 126719.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2176122it [00:17, 125491.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2188819it [00:17, 125928.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2201550it [00:17, 126336.89it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2214286it [00:17, 126637.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2227112it [00:17, 127120.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2239918it [00:17, 127400.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2252660it [00:17, 126998.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2265361it [00:18, 126362.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2277999it [00:18, 126350.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2290727it [00:18, 126626.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2303455it [00:18, 126818.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2316141it [00:18, 126827.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2328868it [00:18, 126957.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2341565it [00:18, 126224.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2354189it [00:18, 125815.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2366842it [00:18, 126026.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2379625it [00:18, 126563.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2392446it [00:19, 127053.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2405153it [00:19, 126885.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2417955it [00:19, 127223.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2430850it [00:19, 127738.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2443625it [00:19, 127620.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2456388it [00:19, 127528.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2469142it [00:19, 127376.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2481936it [00:19, 127544.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2494754it [00:19, 127730.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2507528it [00:19, 127288.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2520258it [00:20, 126713.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2532931it [00:20, 126690.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2545744it [00:20, 127117.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2558470it [00:20, 127157.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2571275it [00:20, 127423.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2584018it [00:20, 127197.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2596738it [00:20, 127166.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2609470it [00:20, 127210.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2622256it [00:20, 127403.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2634997it [00:20, 127379.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2647820it [00:21, 127631.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2660606it [00:21, 127696.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
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     ]
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     ]
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    {
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     "output_type": "stream",
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      "\r\n",
      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:25<00:03,  6.27it/s]"
     ]
    },
    {
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      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:26<00:01,  6.89it/s]"
     ]
    },
    {
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     "output_type": "stream",
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      "Rescaling quality scores:  96%|██████████████▍| 221/230 [00:27<00:01,  5.52it/s]"
     ]
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    {
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     "output_type": "stream",
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      "Rescaling quality scores:  97%|██████████████▌| 223/230 [00:27<00:01,  6.03it/s]"
     ]
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    {
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     "output_type": "stream",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
      "Rescaling quality scores:  99%|██████████████▊| 227/230 [00:27<00:00,  6.96it/s]\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:27<00:00,  8.30it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Estimating and testing Damage\r\n",
      "Computing alignment stats for entire reference\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 0it [00:00, ?it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 12812it [00:00, 128094.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 25622it [00:00, 127196.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 38343it [00:00, 126626.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 51007it [00:00, 126221.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 63630it [00:00, 125897.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 76230it [00:00, 125927.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 88823it [00:00, 125880.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 101729it [00:00, 126886.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 114418it [00:00, 126626.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 127155it [00:01, 126852.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 139841it [00:01, 126824.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 152524it [00:01, 126036.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 178112it [00:01, 126990.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 190812it [00:01, 126955.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 203509it [00:01, 126542.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 216164it [00:01, 125972.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 228977it [00:01, 126614.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 241749it [00:01, 126943.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 254616it [00:02, 127456.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 331397it [00:02, 127409.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 356956it [00:02, 127456.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 369851it [00:02, 127901.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 382719it [00:03, 128131.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 395533it [00:03, 127914.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 408369it [00:03, 128044.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 421185it [00:03, 128076.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 446827it [00:03, 127808.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 459609it [00:03, 127730.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 510945it [00:04, 127727.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 523732it [00:04, 127766.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 536591it [00:04, 128011.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 549438it [00:04, 128146.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 562254it [00:04, 128043.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 575059it [00:04, 127967.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 587856it [00:04, 127872.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 600671it [00:04, 127952.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 613467it [00:04, 127912.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 626259it [00:04, 127886.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 639161it [00:05, 128224.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 652054it [00:05, 128432.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 664898it [00:05, 128182.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 677760it [00:05, 128311.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 690651it [00:05, 128488.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 703500it [00:05, 128449.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 716408it [00:05, 128635.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 729308it [00:05, 128743.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 742183it [00:05, 128404.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 755024it [00:05, 128251.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 767850it [00:06, 127855.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 780818it [00:06, 128397.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 793659it [00:06, 127788.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 806439it [00:06, 127100.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 819151it [00:06, 126611.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 831814it [00:06, 126505.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 844535it [00:06, 126713.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 857245it [00:06, 126825.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 869973it [00:06, 126958.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 882780it [00:06, 127290.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 895579it [00:07, 127495.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 908336it [00:07, 127515.54it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 921088it [00:07, 127387.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 933840it [00:07, 127423.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 946583it [00:07, 122998.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 958979it [00:07, 123278.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 971560it [00:07, 124023.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 984410it [00:07, 125347.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 996960it [00:07, 125241.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1009495it [00:07, 125187.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1022133it [00:08, 125540.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1034960it [00:08, 126352.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1047742it [00:08, 126789.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1060620it [00:08, 127382.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1073361it [00:08, 127231.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1086086it [00:08, 126891.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1098777it [00:08, 126763.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1111455it [00:08, 126693.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1124125it [00:08, 126658.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1136792it [00:08, 126434.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1149436it [00:09, 126331.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1162150it [00:09, 126571.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1174808it [00:09, 125959.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1187405it [00:09, 125942.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1200040it [00:09, 126061.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1212647it [00:09, 125944.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1225437it [00:09, 126526.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1238303it [00:09, 127163.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1251020it [00:09, 126615.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1263720it [00:09, 126727.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1276394it [00:10, 126434.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1289038it [00:10, 126324.86it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1301734it [00:10, 126512.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1314386it [00:10, 126411.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1327028it [00:10, 126141.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1339742it [00:10, 126438.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1352387it [00:10, 126057.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1365073it [00:10, 126294.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1377804it [00:10, 126595.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1390510it [00:10, 126733.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1403184it [00:11, 126426.71it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1415927it [00:11, 126725.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1428643it [00:11, 126851.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1441462it [00:11, 127251.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1454228it [00:11, 127370.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1467480it [00:11, 128911.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1480900it [00:11, 130497.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1494014it [00:11, 130687.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1507083it [00:11, 129409.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1520027it [00:11, 128585.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1532889it [00:12, 128010.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1545693it [00:12, 127394.54it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1558434it [00:12, 127220.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1571247it [00:12, 127487.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1583997it [00:12, 127444.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1596792it [00:12, 127593.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1609552it [00:12, 127316.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1622341it [00:12, 127482.73it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1635173it [00:12, 127729.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1647968it [00:12, 127792.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1660748it [00:13, 127604.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1673509it [00:13, 127379.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1686248it [00:13, 127056.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1698968it [00:13, 127096.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1711678it [00:13, 126804.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1724359it [00:13, 126770.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1737037it [00:13, 126446.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1749682it [00:13, 126319.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1762315it [00:13, 126121.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1774928it [00:13, 126101.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1787602it [00:14, 126291.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1800232it [00:14, 125845.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1812833it [00:14, 125893.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1825424it [00:14, 125895.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1838035it [00:14, 125958.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1850705it [00:14, 126178.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1863323it [00:14, 122543.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1876046it [00:14, 123916.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1888828it [00:14, 125062.65it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1901509it [00:14, 125578.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1914078it [00:15, 125534.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1926699it [00:15, 125734.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1939380it [00:15, 126052.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1952088it [00:15, 126356.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1964727it [00:15, 126014.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1977331it [00:15, 125347.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1989977it [00:15, 125677.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2002766it [00:15, 126336.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2015474it [00:15, 126557.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2028172it [00:15, 126682.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2040999it [00:16, 127156.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2053764it [00:16, 127299.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2066544it [00:16, 127446.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2079289it [00:16, 127130.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2092003it [00:16, 126645.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2104813it [00:16, 127076.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2117676it [00:16, 127539.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2130431it [00:16, 127374.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2143178it [00:16, 127399.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2155919it [00:16, 127348.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2168655it [00:17, 127010.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2181357it [00:17, 126703.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2194051it [00:17, 126770.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2206791it [00:17, 126957.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2219487it [00:17, 126815.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2232392it [00:17, 127481.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2245141it [00:17, 127184.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2257860it [00:17, 127001.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2270561it [00:17, 126599.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2283292it [00:17, 126809.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2295996it [00:18, 126876.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2308684it [00:18, 126630.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2321348it [00:18, 126592.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2334013it [00:18, 126608.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2346674it [00:18, 125550.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2359372it [00:18, 125973.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2372143it [00:18, 126488.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2385025it [00:18, 127180.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2397758it [00:18, 127223.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2410518it [00:18, 127334.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2423269it [00:19, 127382.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2436082it [00:19, 127524.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2448861it [00:19, 127602.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2461628it [00:19, 127620.89it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2474391it [00:19, 127349.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2487151it [00:19, 127421.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2499912it [00:19, 127475.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2512660it [00:19, 127106.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2525371it [00:19, 126963.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2538068it [00:19, 126424.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2550711it [00:20, 126378.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2563384it [00:20, 126480.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2576175it [00:20, 126906.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2588866it [00:20, 126732.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2601540it [00:20, 126109.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2614336it [00:20, 126659.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2627105it [00:20, 126965.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2640029it [00:20, 127644.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2652886it [00:20, 127919.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2665740it [00:20, 128096.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2678584it [00:21, 128195.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2691494it [00:21, 128462.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2704341it [00:21, 127600.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2717103it [00:21, 126923.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2729803it [00:21, 126942.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2742499it [00:21, 126010.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2755212it [00:21, 126339.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2767848it [00:21, 126337.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2780654it [00:21, 126849.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2793443it [00:22, 127158.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2806197it [00:22, 127271.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2818925it [00:22, 127265.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2831709it [00:22, 127435.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
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     ]
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    },
    {
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     "output_type": "stream",
     "text": [
      "Estimating and testing Damage\r\n",
      "Computing alignment stats for entire reference\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
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     ]
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     ]
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     ]
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     "text": [
      "\r\n",
      "Compute damage for entire reference: 240763it [00:01, 126653.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 253587it [00:02, 127126.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 266300it [00:02, 126720.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 278973it [00:02, 126463.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 291620it [00:02, 125891.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 304210it [00:02, 125594.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 316862it [00:02, 125867.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 329604it [00:02, 126326.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 342347it [00:02, 126654.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 355096it [00:02, 126901.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 367882it [00:02, 127186.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 380758it [00:03, 127654.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 393524it [00:03, 127361.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 406261it [00:03, 127272.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 418989it [00:03, 127222.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 431747it [00:03, 127326.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 444480it [00:03, 127192.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 457200it [00:03, 126733.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 469874it [00:03, 126469.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 482522it [00:03, 125364.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 495203it [00:03, 125791.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 507784it [00:04, 125675.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 520353it [00:04, 125633.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 532927it [00:04, 125662.92it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 545533it [00:04, 125778.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 558160it [00:04, 125921.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 570753it [00:04, 125754.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 583363it [00:04, 125855.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 596026it [00:04, 126083.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 608648it [00:04, 126123.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 621327it [00:04, 126320.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 633960it [00:05, 126048.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 646624it [00:05, 126224.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 659340it [00:05, 126501.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 672047it [00:05, 126668.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 684751it [00:05, 126776.71it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 697429it [00:05, 126401.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 710119it [00:05, 126546.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 722795it [00:05, 126608.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 735457it [00:05, 126226.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 748081it [00:05, 126132.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 760695it [00:06, 126035.61it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 773325it [00:06, 126113.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 786051it [00:06, 126454.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 798697it [00:06, 125465.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 811246it [00:06, 124712.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 823805it [00:06, 124970.40it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 836372it [00:06, 125174.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 848932it [00:06, 125298.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 861496it [00:06, 125399.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 874037it [00:06, 125232.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 886738it [00:07, 125763.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 899315it [00:07, 125725.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 911888it [00:07, 125591.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 924448it [00:07, 125590.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 937008it [00:07, 123708.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 949510it [00:07, 124093.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 961925it [00:07, 123994.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 974328it [00:07, 122523.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 986897it [00:07, 123459.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 999414it [00:07, 123965.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1012009it [00:08, 124556.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1024653it [00:08, 125116.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1037267it [00:08, 125420.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1049867it [00:08, 125591.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1062470it [00:08, 125721.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1075066it [00:08, 125789.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1087646it [00:08, 125400.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1100187it [00:08, 125122.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1112700it [00:08, 124782.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1125179it [00:08, 124733.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1137653it [00:09, 124338.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1150139it [00:09, 124488.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1162618it [00:09, 124518.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1175071it [00:09, 124093.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1187509it [00:09, 124177.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1199941it [00:09, 124218.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1212364it [00:09, 124158.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1224942it [00:09, 124641.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1237620it [00:09, 125280.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1250149it [00:09, 124986.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1262648it [00:10, 124719.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1275125it [00:10, 124730.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1287682it [00:10, 124977.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1300444it [00:10, 125767.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1313021it [00:10, 125260.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1325584it [00:10, 125368.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1338185it [00:10, 125559.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1350742it [00:10, 125312.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1363274it [00:10, 125064.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Compute damage for entire reference: 1375837it [00:10, 125230.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1388389it [00:11, 125313.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1401026it [00:11, 125628.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1413590it [00:11, 125323.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1426123it [00:11, 125075.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1438793it [00:11, 125558.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1451445it [00:11, 125844.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1464106it [00:11, 126070.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1476880it [00:11, 126568.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1489538it [00:11, 126129.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1502152it [00:11, 125710.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1514778it [00:12, 125871.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1527439it [00:12, 126089.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1540049it [00:12, 125574.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1552608it [00:12, 125064.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1565236it [00:12, 125425.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1577830it [00:12, 125577.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1590525it [00:12, 125986.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1603133it [00:12, 126011.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1615735it [00:12, 125835.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1628391it [00:12, 126051.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1641074it [00:13, 126272.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1653789it [00:13, 126533.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1666443it [00:13, 126331.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1679077it [00:13, 125581.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1691668it [00:13, 125678.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1704326it [00:13, 125945.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1716936it [00:13, 125988.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1729536it [00:13, 125602.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1742097it [00:13, 125388.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1754637it [00:13, 125270.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1767165it [00:14, 125235.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1779689it [00:14, 125178.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1792207it [00:14, 125081.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1804716it [00:14, 124682.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1817350it [00:14, 125176.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1829873it [00:14, 125189.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1842393it [00:14, 125171.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1854911it [00:14, 121382.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1867507it [00:14, 122721.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1880099it [00:14, 123662.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1892755it [00:15, 124520.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1905220it [00:15, 124267.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1917656it [00:15, 124176.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1930185it [00:15, 124507.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1942712it [00:15, 124732.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1955368it [00:15, 125277.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1967899it [00:15, 125285.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1980430it [00:15, 124481.73it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 1992929it [00:15, 124631.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2005475it [00:15, 124874.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2017982it [00:16, 124930.71it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2030675it [00:16, 125527.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2043355it [00:16, 125905.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2055985it [00:16, 126022.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2068683it [00:16, 126308.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2081315it [00:16, 126271.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2093943it [00:16, 126256.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2106599it [00:16, 126345.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2119234it [00:16, 126138.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2131849it [00:16, 125723.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2144422it [00:17, 125469.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2156970it [00:17, 125229.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2169494it [00:17, 125069.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2182073it [00:17, 125281.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2194602it [00:17, 125137.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2207256it [00:17, 125554.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2219834it [00:17, 125620.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2232470it [00:17, 125838.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2245054it [00:17, 125620.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2257617it [00:17, 125365.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2270154it [00:18, 124831.33it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2282653it [00:18, 124874.91it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2295272it [00:18, 125265.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2307839it [00:18, 125382.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2320542it [00:18, 125872.82it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2333201it [00:18, 126084.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2345810it [00:18, 125154.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2358400it [00:18, 125373.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2371074it [00:18, 125780.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2383771it [00:18, 126133.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2396386it [00:19, 125856.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2409047it [00:19, 126079.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2421656it [00:19, 126062.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2434402it [00:19, 126477.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2447051it [00:19, 126312.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2459685it [00:19, 126316.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2472317it [00:19, 126197.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2485028it [00:19, 126468.60it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2497720it [00:19, 126599.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2510381it [00:19, 126097.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2522992it [00:20, 125783.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2535571it [00:20, 125567.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2548294it [00:20, 126062.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2560969it [00:20, 126266.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2573619it [00:20, 126333.74it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2586253it [00:20, 125903.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2598844it [00:20, 125577.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2611570it [00:20, 126078.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2624179it [00:20, 126027.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2636842it [00:20, 126206.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2649464it [00:21, 126207.21it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2662085it [00:21, 126165.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2674877it [00:21, 126687.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2687546it [00:21, 126654.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2700258it [00:21, 126791.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2712938it [00:21, 126242.22it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2725607it [00:21, 126373.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2738245it [00:21, 125626.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2750818it [00:21, 125655.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2763401it [00:21, 125705.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2775973it [00:22, 125075.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2788692it [00:22, 125703.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2801397it [00:22, 126102.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2814009it [00:22, 125908.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2826629it [00:22, 125993.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2839257it [00:22, 126076.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2851865it [00:22, 125589.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2864482it [00:22, 125760.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2877059it [00:22, 125377.38it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2889827it [00:22, 126061.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2902700it [00:23, 126857.56it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2915520it [00:23, 127254.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2928247it [00:23, 127185.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2940966it [00:23, 127008.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2953668it [00:23, 126894.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2966445it [00:23, 127152.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 2979211it [00:23, 127300.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
     "name": "stdout",
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      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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     ]
    },
    {
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      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\r\n",
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     ]
    },
    {
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\r\n",
      "Compute damage for entire reference: 3184221it [00:25, 125990.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Compute damage for entire reference: 3194672it [00:25, 125798.28it/s]\r\n"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
    },
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     ]
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    {
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     ]
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     ]
    },
    {
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     ]
    },
    {
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     ]
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     ]
    },
    {
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     ]
    },
    {
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
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     ]
    },
    {
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     ]
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    {
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      "\r\n",
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     ]
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     ]
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    {
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     "output_type": "stream",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
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     ]
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    {
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     ]
    },
    {
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      "Rescaling quality scores:  82%|████████████▎  | 189/230 [00:23<00:04,  8.64it/s]"
     ]
    },
    {
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     "output_type": "stream",
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     ]
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    {
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     "output_type": "stream",
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      "\r\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:26<00:04,  6.49it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  87%|█████████████  | 201/230 [00:26<00:03,  7.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  88%|█████████████▏ | 203/230 [00:26<00:04,  6.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:27<00:02,  7.46it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  93%|█████████████▉ | 213/230 [00:28<00:02,  6.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:29<00:01,  5.55it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  96%|██████████████▍| 221/230 [00:29<00:01,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▌| 223/230 [00:30<00:01,  5.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  98%|██████████████▋| 225/230 [00:30<00:00,  5.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  99%|██████████████▊| 227/230 [00:30<00:00,  6.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:30<00:00,  7.47it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1min 13s ± 1.6 s per loop (mean ± std. dev. of 3 runs, 1 loop each)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<TimeitResult : 1min 13s ± 1.6 s per loop (mean ± std. dev. of 3 runs, 1 loop each)>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%timeit -r 3 -o\n",
    "! pydamage analyze --rescale --group --force ../../tests/data/bigger_test_data.bam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:49:48.591745Z",
     "iopub.status.busy": "2024-09-19T09:49:48.591267Z",
     "iopub.status.idle": "2024-09-19T09:49:48.595599Z",
     "shell.execute_reply": "2024-09-19T09:49:48.594810Z"
    }
   },
   "outputs": [],
   "source": [
    "res = _\n",
    "res_dict = {\n",
    "    \"pydamage v0.80\" : {\n",
    "        \"mean\" : res.average,\n",
    "        \"std\" : res.stdev\n",
    "    }\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:49:48.597617Z",
     "iopub.status.busy": "2024-09-19T09:49:48.597287Z",
     "iopub.status.idle": "2024-09-19T09:52:45.740788Z",
     "shell.execute_reply": "2024-09-19T09:52:45.739544Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|                    | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|            | 1/230 [00:01<06:09,  1.61s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   2%|▏           | 4/230 [00:01<01:20,  2.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   7%|▋          | 15/230 [00:02<00:20, 10.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  10%|█▏         | 24/230 [00:02<00:15, 13.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  24%|██▋        | 55/230 [00:03<00:07, 24.93it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  26%|██▊        | 60/230 [00:04<00:11, 15.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  32%|███▌       | 74/230 [00:05<00:09, 15.65it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  51%|█████▏    | 118/230 [00:05<00:03, 30.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  53%|█████▎    | 123/230 [00:06<00:04, 25.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  61%|██████    | 140/230 [00:07<00:03, 27.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  65%|██████▍   | 149/230 [00:07<00:03, 24.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  78%|███████▊  | 180/230 [00:09<00:02, 17.04it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  90%|█████████ | 208/230 [00:10<00:00, 23.33it/s]\r\n",
      "Estimating and testing Damage: 100%|██████████| 230/230 [00:10<00:00, 21.99it/s]\r\n",
      "230 contig(s) analyzed by Pydamage\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   0%|                         | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   0%|                 | 1/230 [00:00<01:54,  2.00it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   1%|▏                | 3/230 [00:00<00:42,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   6%|▉               | 13/230 [00:00<00:09, 23.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  10%|█▌              | 22/230 [00:01<00:07, 29.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  14%|██▏             | 32/230 [00:02<00:12, 15.95it/s]"
     ]
    },
    {
     "name": "stdout",
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     "text": [
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      "Rescaling quality scores:  15%|██▍             | 35/230 [00:02<00:16, 11.58it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  17%|██▋             | 38/230 [00:03<00:23,  8.24it/s]"
     ]
    },
    {
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     "text": [
      "\r\n",
      "Rescaling quality scores:  17%|██▊             | 40/230 [00:04<00:31,  6.12it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  18%|██▉             | 42/230 [00:06<01:10,  2.65it/s]"
     ]
    },
    {
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     "text": [
      "\r\n",
      "Rescaling quality scores:  20%|███▏            | 46/230 [00:07<00:48,  3.82it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  21%|███▍            | 49/230 [00:07<00:39,  4.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
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     "text": [
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     ]
    },
    {
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     "text": [
      "\r\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  30%|████▊           | 70/230 [00:08<00:09, 16.12it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  32%|█████▏          | 74/230 [00:09<00:12, 12.10it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  33%|█████▎          | 77/230 [00:09<00:12, 12.53it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:09<00:04, 28.71it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
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     ]
    },
    {
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      "\r\n",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
      "Rescaling quality scores:  48%|███████▏       | 111/230 [00:12<00:12,  9.52it/s]"
     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
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     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
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     ]
    },
    {
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     "text": [
      "\r\n",
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     ]
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    {
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      "\r\n",
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     ]
    },
    {
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      "\r\n",
      "Rescaling quality scores:  57%|████████▌      | 131/230 [00:15<00:16,  5.85it/s]"
     ]
    },
    {
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      "\r\n",
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     ]
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    {
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      "\r\n",
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     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  61%|█████████▏     | 141/230 [00:17<00:11,  7.57it/s]"
     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
      "Rescaling quality scores:  65%|█████████▊     | 150/230 [00:17<00:05, 13.99it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  67%|██████████     | 154/230 [00:18<00:10,  7.53it/s]"
     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
      "Rescaling quality scores:  73%|██████████▉    | 167/230 [00:18<00:05, 12.51it/s]"
     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:19<00:03, 15.22it/s]"
     ]
    },
    {
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     "output_type": "stream",
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      "\r\n",
      "Rescaling quality scores:  77%|███████████▌   | 178/230 [00:19<00:04, 11.50it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:20<00:02, 15.10it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  82%|████████████▎  | 189/230 [00:20<00:02, 14.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  83%|████████████▌  | 192/230 [00:20<00:02, 13.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:20<00:02, 13.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:21<00:03,  7.81it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  90%|█████████████▍ | 206/230 [00:21<00:01, 12.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  91%|█████████████▋ | 209/230 [00:22<00:01, 12.81it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  92%|█████████████▊ | 212/230 [00:23<00:03,  5.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  94%|██████████████ | 216/230 [00:24<00:02,  6.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:25<00:01,  5.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▍| 222/230 [00:25<00:01,  5.77it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▌| 224/230 [00:26<00:01,  5.10it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  98%|██████████████▋| 226/230 [00:26<00:00,  5.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:27<00:00,  5.43it/s]\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:27<00:00,  8.51it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|                    | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|            | 1/230 [00:01<06:18,  1.65s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   1%|            | 2/230 [00:02<03:36,  1.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   3%|▎           | 7/230 [00:05<02:36,  1.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  37%|████       | 85/230 [00:05<00:06, 22.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  53%|█████▎    | 122/230 [00:06<00:03, 31.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  56%|█████▌    | 129/230 [00:08<00:05, 18.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  66%|██████▌   | 151/230 [00:08<00:03, 25.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  69%|██████▊   | 158/230 [00:09<00:04, 17.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  90%|█████████ | 207/230 [00:10<00:00, 31.24it/s]\r\n",
      "Estimating and testing Damage: 100%|██████████| 230/230 [00:10<00:00, 22.61it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "230 contig(s) analyzed by Pydamage\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   0%|                         | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   0%|                 | 1/230 [00:00<01:26,  2.65it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   1%|▏                | 3/230 [00:00<00:35,  6.41it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   6%|▉               | 13/230 [00:00<00:08, 25.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  10%|█▌              | 22/230 [00:01<00:16, 12.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  14%|██▏             | 32/230 [00:02<00:13, 14.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  15%|██▍             | 35/230 [00:02<00:16, 12.09it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  17%|██▋             | 38/230 [00:03<00:17, 11.11it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  17%|██▊             | 40/230 [00:04<00:35,  5.29it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  18%|██▊             | 41/230 [00:06<01:07,  2.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  20%|███▏            | 46/230 [00:06<00:40,  4.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  22%|███▌            | 51/230 [00:06<00:26,  6.65it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  23%|███▊            | 54/230 [00:08<00:39,  4.50it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  29%|████▌           | 66/230 [00:08<00:16, 10.02it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  31%|████▉           | 71/230 [00:09<00:22,  6.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  33%|█████▏          | 75/230 [00:09<00:18,  8.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  35%|█████▌          | 80/230 [00:09<00:14, 10.71it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:10<00:06, 20.96it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  44%|██████▌        | 101/230 [00:10<00:08, 15.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  46%|██████▊        | 105/230 [00:11<00:07, 16.01it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  48%|███████▏       | 111/230 [00:11<00:07, 16.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  50%|███████▍       | 114/230 [00:12<00:16,  7.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  50%|███████▌       | 116/230 [00:13<00:14,  7.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  54%|████████       | 124/230 [00:13<00:08, 12.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  56%|████████▎      | 128/230 [00:15<00:21,  4.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  57%|████████▌      | 131/230 [00:16<00:22,  4.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:17<00:22,  4.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "\r\n",
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     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  61%|█████████▏     | 141/230 [00:18<00:14,  6.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  65%|█████████▊     | 150/230 [00:18<00:06, 11.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  67%|██████████     | 154/230 [00:19<00:11,  6.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  73%|██████████▉    | 167/230 [00:20<00:06, 10.16it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:20<00:04, 12.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:21<00:03, 13.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  82%|████████████▎  | 189/230 [00:21<00:04, 10.12it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  83%|████████████▍  | 191/230 [00:22<00:04,  8.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:22<00:02, 11.32it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:22<00:02, 11.07it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  90%|█████████████▍ | 206/230 [00:22<00:01, 16.49it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:23<00:02,  9.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:26<00:01,  6.08it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▌| 223/230 [00:26<00:01,  6.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  98%|██████████████▋| 226/230 [00:26<00:00,  7.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:26<00:00,  8.58it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|                    | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|            | 1/230 [00:01<06:12,  1.63s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   1%|            | 2/230 [00:04<09:14,  2.43s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  32%|███▌       | 74/230 [00:06<00:10, 14.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  48%|████▊     | 111/230 [00:07<00:05, 21.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  54%|█████▍    | 124/230 [00:09<00:07, 14.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  80%|███████▉  | 183/230 [00:09<00:01, 29.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  85%|████████▍ | 195/230 [00:11<00:01, 19.94it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage: 100%|█████████▉| 229/230 [00:11<00:00, 29.16it/s]\r\n",
      "Estimating and testing Damage: 100%|██████████| 230/230 [00:11<00:00, 19.49it/s]\r\n",
      "230 contig(s) analyzed by Pydamage\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   0%|                         | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Rescaling quality scores:   0%|                 | 1/230 [00:00<03:14,  1.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   1%|▏                | 3/230 [00:01<01:03,  3.59it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   6%|▉               | 13/230 [00:01<00:12, 17.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  10%|█▌              | 22/230 [00:01<00:12, 17.18it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  14%|██▏             | 32/230 [00:02<00:10, 19.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Rescaling quality scores:  15%|██▍             | 35/230 [00:03<00:24,  7.85it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  17%|██▋             | 38/230 [00:04<00:30,  6.37it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  17%|██▊             | 40/230 [00:05<00:34,  5.58it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  18%|██▊             | 41/230 [00:05<00:45,  4.19it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  20%|███▏            | 46/230 [00:06<00:27,  6.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  21%|███▍            | 49/230 [00:06<00:24,  7.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  23%|███▌            | 52/230 [00:06<00:27,  6.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  25%|███▉            | 57/230 [00:07<00:18,  9.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  30%|████▊           | 70/230 [00:07<00:09, 17.43it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  32%|█████           | 73/230 [00:07<00:09, 16.99it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  33%|█████▎          | 76/230 [00:07<00:09, 16.66it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  37%|█████▉          | 86/230 [00:07<00:05, 27.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:08<00:03, 36.15it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  44%|██████▋        | 102/230 [00:08<00:05, 24.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  46%|██████▉        | 106/230 [00:08<00:05, 22.70it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  48%|███████▏       | 111/230 [00:08<00:05, 22.68it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  50%|███████▍       | 114/230 [00:09<00:06, 16.84it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  51%|███████▋       | 117/230 [00:09<00:07, 14.98it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  54%|████████       | 124/230 [00:09<00:05, 18.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  55%|████████▎      | 127/230 [00:10<00:11,  8.84it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  56%|████████▍      | 129/230 [00:11<00:11,  9.05it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  57%|████████▌      | 131/230 [00:11<00:09, 10.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:11<00:12,  7.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  60%|█████████      | 139/230 [00:12<00:08, 11.31it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  62%|█████████▎     | 142/230 [00:12<00:07, 11.82it/s]"
     ]
    },
    {
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     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  67%|█████████▉     | 153/230 [00:13<00:06, 11.87it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  73%|██████████▉    | 167/230 [00:13<00:03, 17.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:14<00:03, 17.39it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:14<00:02, 17.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  82%|████████████▎  | 188/230 [00:15<00:03, 13.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  83%|████████████▍  | 191/230 [00:15<00:03, 11.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:15<00:02, 13.97it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:16<00:02, 13.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  90%|█████████████▍ | 206/230 [00:16<00:01, 19.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:17<00:01, 10.23it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  94%|██████████████ | 216/230 [00:17<00:01, 13.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:18<00:01,  7.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▍| 222/230 [00:18<00:01,  7.25it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▌| 224/230 [00:19<00:01,  5.30it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  98%|██████████████▋| 226/230 [00:20<00:00,  4.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:20<00:00, 11.25it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|                    | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   0%|            | 1/230 [00:02<07:59,  2.09s/it]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   3%|▎           | 6/230 [00:04<02:22,  1.57it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:   4%|▍           | 9/230 [00:04<01:24,  2.63it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  21%|██▎        | 48/230 [00:05<00:10, 17.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  23%|██▍        | 52/230 [00:07<00:20,  8.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  41%|████▌      | 95/230 [00:08<00:08, 16.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  60%|█████▉    | 137/230 [00:08<00:03, 29.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  67%|██████▋   | 154/230 [00:08<00:02, 35.27it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  79%|███████▉  | 182/230 [00:09<00:01, 31.36it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  88%|████████▊ | 203/230 [00:10<00:00, 34.89it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage:  98%|█████████▊| 225/230 [00:10<00:00, 41.79it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Estimating and testing Damage: 100%|██████████| 230/230 [00:11<00:00, 20.08it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "230 contig(s) analyzed by Pydamage\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   0%|                         | 0/230 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   0%|                 | 1/230 [00:00<01:30,  2.53it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   1%|▏                | 3/230 [00:00<00:39,  5.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   3%|▍                | 6/230 [00:00<00:20, 11.17it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:   6%|▉               | 13/230 [00:00<00:08, 24.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  10%|█▌              | 22/230 [00:00<00:05, 39.32it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  14%|██▏             | 32/230 [00:01<00:06, 30.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  16%|██▌             | 37/230 [00:01<00:10, 18.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  18%|██▊             | 41/230 [00:04<00:32,  5.90it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  20%|███▏            | 46/230 [00:04<00:23,  7.76it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  21%|███▍            | 49/230 [00:05<00:31,  5.69it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  23%|███▌            | 52/230 [00:05<00:28,  6.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  23%|███▊            | 54/230 [00:06<00:27,  6.48it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  25%|███▉            | 57/230 [00:06<00:23,  7.47it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  30%|████▊           | 70/230 [00:06<00:09, 17.44it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  32%|█████▏          | 74/230 [00:06<00:10, 15.20it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  33%|█████▎          | 77/230 [00:07<00:10, 14.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  37%|█████▉          | 86/230 [00:07<00:06, 23.24it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  42%|██████▋         | 96/230 [00:07<00:04, 32.13it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  44%|██████▋        | 102/230 [00:08<00:07, 16.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  46%|██████▉        | 106/230 [00:08<00:07, 16.51it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  48%|███████▏       | 111/230 [00:09<00:11, 10.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  50%|███████▍       | 114/230 [00:10<00:16,  7.03it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  50%|███████▌       | 116/230 [00:10<00:15,  7.28it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  54%|████████       | 124/230 [00:10<00:08, 12.45it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  56%|████████▎      | 128/230 [00:11<00:09, 11.06it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  57%|████████▌      | 131/230 [00:11<00:09, 10.67it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  58%|████████▋      | 134/230 [00:11<00:09, 10.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  60%|█████████      | 139/230 [00:11<00:06, 14.16it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  62%|█████████▎     | 142/230 [00:12<00:06, 13.80it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  66%|█████████▉     | 152/230 [00:12<00:03, 22.62it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  68%|██████████▏    | 156/230 [00:13<00:07,  9.64it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  73%|██████████▉    | 167/230 [00:13<00:04, 13.95it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  76%|███████████▍   | 175/230 [00:15<00:05, 10.42it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  81%|████████████▏  | 186/230 [00:15<00:03, 11.83it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  82%|████████████▎  | 188/230 [00:16<00:05,  8.34it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  83%|████████████▍  | 191/230 [00:17<00:06,  6.35it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  86%|████████████▊  | 197/230 [00:18<00:04,  7.70it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  87%|████████████▉  | 199/230 [00:19<00:05,  5.52it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  90%|█████████████▍ | 206/230 [00:19<00:02,  8.68it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  91%|█████████████▋ | 210/230 [00:20<00:02,  7.78it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  96%|██████████████▎| 220/230 [00:22<00:01,  6.14it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▍| 222/230 [00:22<00:01,  5.88it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  97%|██████████████▌| 224/230 [00:22<00:01,  5.72it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores:  98%|██████████████▋| 226/230 [00:23<00:00,  5.26it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r\n",
      "Rescaling quality scores: 100%|███████████████| 230/230 [00:23<00:00,  9.77it/s]\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43.4 s ± 1.43 s per loop (mean ± std. dev. of 3 runs, 1 loop each)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<TimeitResult : 43.4 s ± 1.43 s per loop (mean ± std. dev. of 3 runs, 1 loop each)>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%timeit -r 3 -o\n",
    "! pydamage analyze --rescale -p 8 --force ../../tests/data/bigger_test_data.bam"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:52:45.745667Z",
     "iopub.status.busy": "2024-09-19T09:52:45.745255Z",
     "iopub.status.idle": "2024-09-19T09:52:45.749149Z",
     "shell.execute_reply": "2024-09-19T09:52:45.748781Z"
    }
   },
   "outputs": [],
   "source": [
    "res = _\n",
    "res_dict[\"pydamage v0.80 - parallel\"] = {\n",
    "    \"mean\" : res.average,\n",
    "    \"std\" : res.stdev\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:52:45.751202Z",
     "iopub.status.busy": "2024-09-19T09:52:45.750782Z",
     "iopub.status.idle": "2024-09-19T09:52:46.286244Z",
     "shell.execute_reply": "2024-09-19T09:52:46.284724Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.2.2\r\n"
     ]
    }
   ],
   "source": [
    "! mapDamage --version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T09:52:46.291498Z",
     "iopub.status.busy": "2024-09-19T09:52:46.290826Z",
     "iopub.status.idle": "2024-09-19T10:36:51.098213Z",
     "shell.execute_reply": "2024-09-19T10:36:51.097174Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning, results_bigger_test_data already exists\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started with the command: /home/maxime_borry/miniforge3/envs/pydamage_bench/bin/mapDamage -i ../../tests/data/bigger_test_data.bam -r ../../tests/data/ref_genome.fa --rescale\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tReading from '../../tests/data/bigger_test_data.bam'\r\n",
      "\tWriting results to 'results_bigger_test_data/'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pdf results_bigger_test_data/Fragmisincorporation_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "additional results_bigger_test_data/Length_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performing Bayesian estimates\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting grid search, starting from random values\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  1  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  2  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  3  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  4  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  5  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  6  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  7  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  8  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  9  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  10  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done burning, starting the iterations\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done with the iterations, finishing up\r\n",
      "Writing and plotting to files\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[?25h\u001b[?25h"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rescaling BAM: '../../tests/data/bigger_test_data.bam' -> 'results_bigger_test_data/bigger_test_data.rescaled.bam'\r\n",
      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of non-rescaled reads due to improper pairing:  845319\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\r\n",
      "\tCT\t0.022074949825252405\t\t0.012365374164447053\r\n",
      "\tTC\t0.006143060440522095\t\t0.006143060440522095\r\n",
      "\tGA\t0.022384267009500677\t\t0.012317144729004435\r\n",
      "\tAG\t0.006157675379772034\t\t0.006157675379772034\r\n",
      "\tQuality metrics before and after scaling\r\n",
      "\tCT-Q0 \t541379\t\t541379\r\n",
      "\tCT-Q10 \t541379\t\t259309\r\n",
      "\tCT-Q20 \t533542\t\t255363\r\n",
      "\tCT-Q30 \t529743\t\t253189\r\n",
      "\tCT-Q40 \t0\t\t0\r\n",
      "\tGA-Q0 \t559491\t\t559491\r\n",
      "\tGA-Q10 \t559491\t\t262017\r\n",
      "\tGA-Q20 \t548446\t\t257032\r\n",
      "\tGA-Q30 \t543260\t\t254466\r\n",
      "\tGA-Q40 \t0\t\t0\r\n",
      "Successful run\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning, results_bigger_test_data already exists\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started with the command: /home/maxime_borry/miniforge3/envs/pydamage_bench/bin/mapDamage -i ../../tests/data/bigger_test_data.bam -r ../../tests/data/ref_genome.fa --rescale\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tReading from '../../tests/data/bigger_test_data.bam'\r\n",
      "\tWriting results to 'results_bigger_test_data/'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pdf results_bigger_test_data/Fragmisincorporation_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "additional results_bigger_test_data/Length_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performing Bayesian estimates\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting grid search, starting from random values\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  1  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  2  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  3  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  4  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  5  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  6  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  7  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  8  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  9  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  10  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done burning, starting the iterations\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done with the iterations, finishing up\r\n",
      "Writing and plotting to files\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[?25h\u001b[?25hRescaling BAM: '../../tests/data/bigger_test_data.bam' -> 'results_bigger_test_data/bigger_test_data.rescaled.bam'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of non-rescaled reads due to improper pairing:  845319\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\r\n",
      "\tCT\t0.022074949825252405\t\t0.012365282422660039\r\n",
      "\tTC\t0.006143060440522095\t\t0.006143060440522095\r\n",
      "\tGA\t0.022384267009500677\t\t0.012317048861071829\r\n",
      "\tAG\t0.006157675379772034\t\t0.006157675379772034\r\n",
      "\tQuality metrics before and after scaling\r\n",
      "\tCT-Q0 \t541379\t\t541379\r\n",
      "\tCT-Q10 \t541379\t\t259309\r\n",
      "\tCT-Q20 \t533542\t\t255363\r\n",
      "\tCT-Q30 \t529743\t\t253189\r\n",
      "\tCT-Q40 \t0\t\t0\r\n",
      "\tGA-Q0 \t559491\t\t559491\r\n",
      "\tGA-Q10 \t559491\t\t262017\r\n",
      "\tGA-Q20 \t548446\t\t257032\r\n",
      "\tGA-Q30 \t543260\t\t254466\r\n",
      "\tGA-Q40 \t0\t\t0\r\n",
      "Successful run\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning, results_bigger_test_data already exists\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started with the command: /home/maxime_borry/miniforge3/envs/pydamage_bench/bin/mapDamage -i ../../tests/data/bigger_test_data.bam -r ../../tests/data/ref_genome.fa --rescale\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tReading from '../../tests/data/bigger_test_data.bam'\r\n",
      "\tWriting results to 'results_bigger_test_data/'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pdf results_bigger_test_data/Fragmisincorporation_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "additional results_bigger_test_data/Length_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performing Bayesian estimates\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting grid search, starting from random values\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  1  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  2  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  3  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  4  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  5  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  6  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  7  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  8  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  9  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  10  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done burning, starting the iterations\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done with the iterations, finishing up\r\n",
      "Writing and plotting to files\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[?25h"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[?25h"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rescaling BAM: '../../tests/data/bigger_test_data.bam' -> 'results_bigger_test_data/bigger_test_data.rescaled.bam'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of non-rescaled reads due to improper pairing:  845319\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\r\n",
      "\tCT\t0.022074949825252405\t\t0.012365388851336931\r\n",
      "\tTC\t0.006143060440522095\t\t0.006143060440522095\r\n",
      "\tGA\t0.022384267009500677\t\t0.012317157513671044\r\n",
      "\tAG\t0.006157675379772034\t\t0.006157675379772034\r\n",
      "\tQuality metrics before and after scaling\r\n",
      "\tCT-Q0 \t541379\t\t541379\r\n",
      "\tCT-Q10 \t541379\t\t259309\r\n",
      "\tCT-Q20 \t533542\t\t255363\r\n",
      "\tCT-Q30 \t529743\t\t253189\r\n",
      "\tCT-Q40 \t0\t\t0\r\n",
      "\tGA-Q0 \t559491\t\t559491\r\n",
      "\tGA-Q10 \t559491\t\t262017\r\n",
      "\tGA-Q20 \t548446\t\t257032\r\n",
      "\tGA-Q30 \t543260\t\t254466\r\n",
      "\tGA-Q40 \t0\t\t0\r\n",
      "Successful run\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning, results_bigger_test_data already exists\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Started with the command: /home/maxime_borry/miniforge3/envs/pydamage_bench/bin/mapDamage -i ../../tests/data/bigger_test_data.bam -r ../../tests/data/ref_genome.fa --rescale\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tReading from '../../tests/data/bigger_test_data.bam'\r\n",
      "\tWriting results to 'results_bigger_test_data/'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pdf results_bigger_test_data/Fragmisincorporation_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "additional results_bigger_test_data/Length_plot.pdf generated\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Performing Bayesian estimates\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting grid search, starting from random values\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  1  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  2  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  3  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  4  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  5  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  6  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  7  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  8  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  9  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adjusting the proposal variance iteration  10  \r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done burning, starting the iterations\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done with the iterations, finishing up\r\n",
      "Writing and plotting to files\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[?25h\u001b[?25hRescaling BAM: '../../tests/data/bigger_test_data.bam' -> 'results_bigger_test_data/bigger_test_data.rescaled.bam'\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Warning! Assuming the pairs are non-overlapping, facing inwards and correctly paired.\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of non-rescaled reads due to improper pairing:  845319\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\tThe expected substition frequencies before and after scaling using the scaled qualities as probalities:\r\n",
      "\tCT\t0.022074949825252405\t\t0.012365272201902557\r\n",
      "\tTC\t0.006143060440522095\t\t0.006143060440522095\r\n",
      "\tGA\t0.022384267009500677\t\t0.012317043166668018\r\n",
      "\tAG\t0.006157675379772034\t\t0.006157675379772034\r\n",
      "\tQuality metrics before and after scaling\r\n",
      "\tCT-Q0 \t541379\t\t541379\r\n",
      "\tCT-Q10 \t541379\t\t259309\r\n",
      "\tCT-Q20 \t533542\t\t255363\r\n",
      "\tCT-Q30 \t529743\t\t253189\r\n",
      "\tCT-Q40 \t0\t\t0\r\n",
      "\tGA-Q0 \t559491\t\t559491\r\n",
      "\tGA-Q10 \t559491\t\t262017\r\n",
      "\tGA-Q20 \t548446\t\t257032\r\n",
      "\tGA-Q30 \t543260\t\t254466\r\n",
      "\tGA-Q40 \t0\t\t0\r\n",
      "Successful run\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10min 53s ± 4.72 s per loop (mean ± std. dev. of 3 runs, 1 loop each)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<TimeitResult : 10min 53s ± 4.72 s per loop (mean ± std. dev. of 3 runs, 1 loop each)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%timeit -r 3 -o\n",
    "! mapDamage -i ../../tests/data/bigger_test_data.bam -r ../../tests/data/ref_genome.fa --rescale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:36:51.100921Z",
     "iopub.status.busy": "2024-09-19T10:36:51.100536Z",
     "iopub.status.idle": "2024-09-19T10:36:51.104002Z",
     "shell.execute_reply": "2024-09-19T10:36:51.103576Z"
    }
   },
   "outputs": [],
   "source": [
    "res = _\n",
    "res_dict[\"mapDamage v2.2.2\"] = {\n",
    "    \"mean\" : res.average,\n",
    "    \"std\" : res.stdev\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:36:51.105921Z",
     "iopub.status.busy": "2024-09-19T10:36:51.105638Z",
     "iopub.status.idle": "2024-09-19T10:36:51.110620Z",
     "shell.execute_reply": "2024-09-19T10:36:51.110210Z"
    }
   },
   "outputs": [],
   "source": [
    "runtimes = pd.DataFrame.from_dict(res_dict, orient=\"index\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:36:51.112231Z",
     "iopub.status.busy": "2024-09-19T10:36:51.112008Z",
     "iopub.status.idle": "2024-09-19T10:36:55.936068Z",
     "shell.execute_reply": "2024-09-19T10:36:55.934975Z"
    }
   },
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 640
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ggplot(runtimes, aes(x = runtimes.index, y = \"mean\")) + geom_point() + geom_errorbar(aes(ymin = \"mean - std\", ymax = \"mean + std\")) + theme_classic() + ylab(\"Time (s)\") + xlab(\"Tool\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> PyDamage provides a __10-15x__ speedup over mapDamage for the same dataset for damage rescaling."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:36:55.939362Z",
     "iopub.status.busy": "2024-09-19T10:36:55.938480Z",
     "iopub.status.idle": "2024-09-19T10:36:55.944880Z",
     "shell.execute_reply": "2024-09-19T10:36:55.943711Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_phred_scores(bam):\n",
    "    fwd = [] \n",
    "    rev = []\n",
    "    with pysam.AlignmentFile(bam, \"rb\") as bam:\n",
    "        for read in bam:\n",
    "            if not read.is_reverse:\n",
    "                fwd.append(np.array(read.query_qualities)[:13])\n",
    "            else:\n",
    "                rev.append(np.array(read.query_qualities)[::-1][:13])\n",
    "            # quals.append(np.array(read.query_qualities)[:13])\n",
    "            # quals.append(np.array(read.get_forward_qualities())[:20])\n",
    "    return (np.stack(fwd), np.stack(rev))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:36:55.947351Z",
     "iopub.status.busy": "2024-09-19T10:36:55.947057Z",
     "iopub.status.idle": "2024-09-19T10:37:06.770694Z",
     "shell.execute_reply": "2024-09-19T10:37:06.769968Z"
    }
   },
   "outputs": [],
   "source": [
    "original_fwd, original_rev = get_phred_scores(\"../../tests/data/bigger_test_data.bam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:37:07.241982Z",
     "iopub.status.busy": "2024-09-19T10:37:07.241669Z",
     "iopub.status.idle": "2024-09-19T10:37:21.466555Z",
     "shell.execute_reply": "2024-09-19T10:37:21.465610Z"
    }
   },
   "outputs": [],
   "source": [
    "pydamage_fwd, pydamage_rev = get_phred_scores(\"pydamage_results/pydamage_rescaled.bam\") "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:37:21.470124Z",
     "iopub.status.busy": "2024-09-19T10:37:21.469824Z",
     "iopub.status.idle": "2024-09-19T10:37:33.150287Z",
     "shell.execute_reply": "2024-09-19T10:37:33.148912Z"
    }
   },
   "outputs": [],
   "source": [
    "mapdamage_fwd, mapdamage_rev = get_phred_scores(\"results_bigger_test_data/bigger_test_data.rescaled.bam\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:37:33.153370Z",
     "iopub.status.busy": "2024-09-19T10:37:33.152991Z",
     "iopub.status.idle": "2024-09-19T10:37:33.156570Z",
     "shell.execute_reply": "2024-09-19T10:37:33.156159Z"
    }
   },
   "outputs": [],
   "source": [
    "columns = ['original', 'mapdamage v2.2.2', 'pydamage v0.80']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:37:33.158880Z",
     "iopub.status.busy": "2024-09-19T10:37:33.158607Z",
     "iopub.status.idle": "2024-09-19T10:37:34.270592Z",
     "shell.execute_reply": "2024-09-19T10:37:34.269664Z"
    }
   },
   "outputs": [],
   "source": [
    "df_fwd = (\n",
    "    pd.DataFrame(\n",
    "        [original_fwd.mean(axis=0), mapdamage_fwd.mean(axis=0), pydamage_fwd.mean(axis=0)],\n",
    "    )\n",
    "    .transpose()\n",
    "    .set_axis(columns, axis=1)\n",
    "    .rename_axis(\"position\")\n",
    "    .reset_index()\n",
    "    .melt(id_vars = \"position\", var_name = \"bam\", value_name = \"mean\")\n",
    ").merge(\n",
    "    (\n",
    "        pd.DataFrame(\n",
    "        [original_fwd.std(axis=0), mapdamage_fwd.std(axis=0), pydamage_fwd.std(axis=0)],\n",
    "    )\n",
    "    .transpose()\n",
    "    .set_axis(columns, axis=1)\n",
    "    .rename_axis(\"position\")\n",
    "    .reset_index()\n",
    "    .melt(id_vars = \"position\", var_name = \"bam\", value_name = \"std\")\n",
    "    ), on=['position', 'bam']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:37:34.274077Z",
     "iopub.status.busy": "2024-09-19T10:37:34.273791Z",
     "iopub.status.idle": "2024-09-19T10:37:34.576472Z",
     "shell.execute_reply": "2024-09-19T10:37:34.576050Z"
    }
   },
   "outputs": [
    {
     "data": {
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"
     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 640
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "(ggplot(df_fwd, aes(x='position', y='mean', color='bam')) + geom_point() + geom_errorbar(aes(ymin = \"mean - std\", ymax = \"mean + std\")) + theme_classic() + ylab(\"Mean Phred score\") + xlab(\"Position\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-09-19T10:37:34.579376Z",
     "iopub.status.busy": "2024-09-19T10:37:34.579130Z",
     "iopub.status.idle": "2024-09-19T10:37:35.629074Z",
     "shell.execute_reply": "2024-09-19T10:37:35.628306Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "metadata": {
      "image/png": {
       "height": 480,
       "width": 640
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_rev = (\n",
    "    pd.DataFrame(\n",
    "        [original_rev.mean(axis=0), mapdamage_rev.mean(axis=0), pydamage_rev.mean(axis=0)],\n",
    "    )\n",
    "    .transpose()\n",
    "    .set_axis(columns, axis=1)\n",
    "    .rename_axis(\"position\")\n",
    "    .reset_index()\n",
    "    .melt(id_vars = \"position\", var_name = \"bam\", value_name = \"mean\")\n",
    ").merge(\n",
    "    (\n",
    "        pd.DataFrame(\n",
    "        [original_rev.std(axis=0), mapdamage_rev.std(axis=0), pydamage_rev.std(axis=0)],\n",
    "    )\n",
    "    .transpose()\n",
    "    .set_axis(columns, axis=1)\n",
    "    .rename_axis(\"position\")\n",
    "    .reset_index()\n",
    "    .melt(id_vars = \"position\", var_name = \"bam\", value_name = \"std\")\n",
    "    ), on=['position', 'bam']\n",
    ")\n",
    "(ggplot(df_rev, aes(x='position', y='mean', color='bam')) + geom_point() + geom_errorbar(aes(ymin = \"mean - std\", ymax = \"mean + std\")) + theme_classic() + ylab(\"Mean Phred score\") + xlab(\"Position\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> mapDamage and PyDamage produce very similar results with regards to reads base quality rescaling"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "dmg_bench",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}